(* Content-type: application/mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 6.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 145, 7] NotebookDataLength[ 2182675, 38749] NotebookOptionsPosition[ 2152739, 37899] NotebookOutlinePosition[ 2155734, 37988] CellTagsIndexPosition[ 2155652, 37983] WindowFrame->Normal ContainsDynamic->True *) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellOpen->True, CellTags->"SlideShowHeader"], Cell["\<\ Mathematical Modelling and Scientific Computing in the Biosciences\ \>", "Title", CellChangeTimes->{{3.413552660922897*^9, 3.413552675466538*^9}}], Cell[TextData[{ StyleBox["\n", FontVariations->{"Underline"->True}], "Lecture 4: 22 April 2008" }], "Subtitle", CellChangeTimes->{ 3.413608468684486*^9, {3.414157000366563*^9, 3.414157012228213*^9}, { 3.415967933068228*^9, 3.415967941577026*^9}, {3.417704129918123*^9, 3.417704138339068*^9}}], Cell[CellGroupData[{ Cell["Overview:", "Section", CellChangeTimes->{{3.413552837957709*^9, 3.413552850020701*^9}, { 3.414157020103515*^9, 3.414157027480763*^9}}], Cell[TextData[{ StyleBox["Sniffers, buzzers, toggles and blinkers: dynamics of regulatory \ and signaling pathways in the cell.", FontSlant->"Italic", FontColor->RGBColor[0.6, 0.4, 0.2]], StyleBox[" \n", FontSlant->"Italic"], "John J. Tyson, Katherine C. Chen and Bela Novak. ", StyleBox["Current Opinion in Cell Biology", FontWeight->"Bold", FontSlant->"Italic", FontColor->RGBColor[0.5, 0, 0.5]], StyleBox[" 15:221-231 (2003)", FontColor->RGBColor[0.5, 0, 0.5]] }], "Subtitle", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.413553118021138*^9, 3.413553172072806*^9}, 3.413600548023816*^9, 3.413609408692294*^9, {3.416002296492029*^9, 3.416002341198993*^9}, 3.41600260535572*^9, {3.41770417170692*^9, 3.417704338628806*^9}, {3.4178364508183*^9, 3.417836453140288*^9}}], Cell["\<\ \ \>", "Text", CellChangeTimes->{{3.416027557047109*^9, 3.416027557642318*^9}}], Cell[CellGroupData[{ Cell["Building blocks of gene models", "Item", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.416002533504182*^9, 3.416002533508748*^9}, { 3.416002571179734*^9, 3.416002572684774*^9}, 3.416027529712615*^9, { 3.417802357181775*^9, 3.41780236441602*^9}}], Cell["\<\ Negative, positive feedbacks built upon activation and inhibitory \ interactions\ \>", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.416002581887881*^9, 3.41600258756082*^9}, 3.416027529712876*^9, {3.417802323576462*^9, 3.417802355761573*^9}, { 3.417802576982631*^9, 3.417802586196564*^9}, {3.417828858956495*^9, 3.417828859440286*^9}}] }, Open ]], Cell["\<\ \ \>", "Text", CellChangeTimes->{{3.416027552441328*^9, 3.41602755348822*^9}, { 3.417802396735044*^9, 3.417802397270943*^9}}], Cell[CellGroupData[{ Cell["Dynamical behaviors", "Item", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.416002633378206*^9, 3.416002644542323*^9}, 3.416026774618526*^9, 3.417828545776011*^9}], Cell["Graded switch, reversible/irreversible switches, oscillators", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.413553417542369*^9, 3.413553420648648*^9}, { 3.413553574478385*^9, 3.413553588686996*^9}, {3.413553693389803*^9, 3.413553702007969*^9}, 3.413600548024077*^9, 3.41422211130777*^9, { 3.416002252968429*^9, 3.416002267769692*^9}, {3.41600237129383*^9, 3.416002390525656*^9}, {3.416002650439241*^9, 3.416002675351394*^9}, 3.416026774619217*^9, {3.416031526325364*^9, 3.416031535155469*^9}, { 3.417802374075027*^9, 3.417802390174217*^9}, {3.41780246249036*^9, 3.417802496078656*^9}, 3.417802565490428*^9, {3.417828537216266*^9, 3.41782854577627*^9}}], Cell["Perfect adaptation", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417802543136366*^9, 3.417802550524058*^9}, { 3.417828537216533*^9, 3.41782854577649*^9}}], Cell["Homeostasis", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417802556138507*^9, 3.417802558375943*^9}, { 3.417828537216859*^9, 3.41782854577671*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ "SetDirectory", "[", "\"\<~/Teaching/MMBS_Summer08/Lecture4\>\"", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"SetOptions", "[", RowBox[{"Plot", ",", RowBox[{"PlotStyle", "\[Rule]", " ", "Thick"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"500", ",", "400"}], "}"}]}]}], " ", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"<<", "xlr8r.m"}]}], "Input", CellOpen->False, InitializationCell->True, CellChangeTimes->{{3.4136094377778*^9, 3.413609457025486*^9}, { 3.414157051171629*^9, 3.414157121648534*^9}, {3.415968478829853*^9, 3.415968479877602*^9}, {3.415968524558385*^9, 3.41596852531777*^9}, { 3.415972165081808*^9, 3.415972185597193*^9}, {3.417707470841452*^9, 3.417707470929524*^9}, {3.41770785730371*^9, 3.417707862597701*^9}, { 3.417841444316839*^9, 3.417841448183608*^9}}], Cell[CellGroupData[{ Cell[BoxData[ StyleBox["\<\"MathSBML Version 2.7.2b using Mathematica Version 6.0 for \ Linux x86 (64-bit) (April 20, 2007) loaded 22-April-2008 10:46:25.362986\"\>", StripOnInput->False, FontWeight->Bold, FontColor->GrayLevel[0]]], "Print", CellChangeTimes->{{3.417841452165462*^9, 3.417841470390892*^9}, 3.417842785409793*^9}], Cell[BoxData[ InterpretationBox[ RowBox[{ StyleBox["\<\"Please report MathSBML issues to the MathSBML Tracker at \ \"\>", StripOnInput->False, FontWeight->"Bold", FontColor->GrayLevel[0]], "\[InvisibleSpace]", StyleBox[ TagBox[ ButtonBox[ PaneSelectorBox[{ False->"\<\"http://sourceforge.net/tracker/?atid=984327&group_id=71971&\ func=browse\"\>", True-> StyleBox["\<\"http://sourceforge.net/tracker/?atid=984327&group_id=\ 71971&func=browse\"\>", "HyperlinkActive"]}, Dynamic[ CurrentValue["MouseOver"]], BaselinePosition->Baseline, FrameMargins->0, ImageSize->Automatic], BaseStyle->"Hyperlink", ButtonData->{ URL[ "http://sourceforge.net/tracker/?atid=984327&group_id=71971&func=\ browse"], None}, ButtonNote-> "http://sourceforge.net/tracker/?atid=984327&group_id=71971&func=\ browse"], Annotation[#, "http://sourceforge.net/tracker/?atid=984327&group_id=71971&func=\ browse", "Hyperlink"]& ], StripOnInput->False, FontWeight->"Bold", FontColor->RGBColor[0, 0, 1]]}], SequenceForm[ Style["Please report MathSBML issues to the MathSBML Tracker at ", FontColor -> GrayLevel[0], FontWeight -> "Bold"], Style[ Hyperlink[ "http://sourceforge.net/tracker/?atid=984327&group_id=71971&func=browse"], FontColor -> RGBColor[0, 0, 1], FontWeight -> "Bold"]], Editable->False]], "Print", CellChangeTimes->{{3.417841452165462*^9, 3.417841470390892*^9}, 3.4178427855454397`*^9}], Cell[BoxData["\<\"xlr8r 0.64 (5 Apr 2008) loaded 22-April-2008 \ 10:46:25.417704 using Mathematica 6.0 for Linux x86 (64-bit) (April 20, 2007)\ \"\>"], "Print", CellChangeTimes->{{3.417841452165462*^9, 3.417841470390892*^9}, 3.417842785584134*^9}] }, Open ]] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Building Blocks of Molecular Networks", "Section", CellChangeTimes->{{3.417801963023789*^9, 3.417801971948202*^9}}], Cell[CellGroupData[{ Cell["\<\ Complex molecular networks can be constructued from simpler modules:\ \>", "Item", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417704561855568*^9, 3.417704588903494*^9}, 3.417828577076039*^9}], Cell["\<\ Sets of genes and proteins performing specific tasks, linked together to \ carry out regulatory functions in concert\ \>", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417704613403851*^9, 3.417704618400312*^9}, { 3.417704714209811*^9, 3.417704741761151*^9}, {3.417705031667432*^9, 3.41770504614163*^9}, {3.417705142197876*^9, 3.417705143642803*^9}, 3.417828577076335*^9, {3.41782883001263*^9, 3.417828834921945*^9}}] }, Open ]], Cell[CellGroupData[{ Cell["Basic building blocks:", "Item", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417704863423412*^9, 3.417704870942239*^9}, 3.417828588930196*^9}], Cell["Toggle switches, oscillators, ...", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417704879485035*^9, 3.417704889489565*^9}, { 3.417704956388976*^9, 3.417704957397365*^9}, {3.417705355233912*^9, 3.417705356573738*^9}, 3.417828588930464*^9, {3.417828845127153*^9, 3.41782884973656*^9}}], Cell["Mechanisms involve positive and negative feedbacks ", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417704879485035*^9, 3.417704889489565*^9}, { 3.417704956388976*^9, 3.417704957397365*^9}, {3.417705081949405*^9, 3.417705123127834*^9}, {3.41770535811395*^9, 3.417705358565421*^9}, 3.417828588930688*^9}] }, Open ]], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417828760463306*^9, 3.417828771960882*^9}}], Cell["\<\ In this lecture, we present several examples of such building blocks:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417705224131172*^9, 3.417705227295595*^9}, { 3.417705264632267*^9, 3.417705303217218*^9}, {3.417828757987653*^9, 3.417828771961044*^9}}], Cell["Provide a vocabulary fo modelling gene systems", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417705315427372*^9, 3.417705343238195*^9}, { 3.417705414134543*^9, 3.417705419642761*^9}, 3.417828771961753*^9}] }, Open ]], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10003.}, CellChangeTimes->{{3.417828804288097*^9, 3.4178288087989*^9}}], Cell[BoxData[ RowBox[{"GraphicsGrid", "[", RowBox[{"Partition", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", RowBox[{ "\"\\"", " ", "<>", " ", "#", " ", "<>", " ", "\"\<.gif\>\""}], "]"}], ",", " ", RowBox[{"ImageSize", " ", "->", " ", RowBox[{"{", RowBox[{"250", ",", " ", "250"}], "}"}]}]}], "]"}], " ", "&"}], " ", "/@", " ", RowBox[{"{", RowBox[{ "\"\<1a\>\"", ",", " ", "\"\<1b\>\"", ",", " ", "\"\<1d\>\"", ",", " ", "\"\<1e\>\"", ",", " ", "\"\<1f\>\"", ",", " ", "\"\<1g\>\"", ",", " ", "\"\<2a\>\"", ",", " ", "\"\<2b\>\"", ",", " ", "\"\<2c\>\""}], "}"}]}], ",", "3", ",", "3", ",", "1", ",", RowBox[{"{", "}"}]}], "]"}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10003.}, CellChangeTimes->{{3.417802178578325*^9, 3.417802288497658*^9}, { 3.417828791717133*^9, 3.417828808799096*^9}}], Cell[BoxData[ GraphicsBox[{{}, {{InsetBox[ GraphicsBox[RasterBox[CompressedData[" 1:eJzt2mFOwkAQQGHgJl7JI3AB72ninUSDhtG2lM4MPDbvJfwpwy6fYq2mL8e3 1+Nht9u9nx4fp8fBzMyw7Z+40TH3+P53JIaaGGpiqImhJoaaGGpiqImhJoaa GGpiqImhJoaaGGpiqImhJoaaGGpiqImhJoaaGGpiqImp2HHqTreipa8cqt+x w/JATNvS1w5tXHt+x+17LL2wFTO50NfRxBZLL23ETN/Oepi7z/WGVeefW3No +77/Fzt/zLbusvSl6Mf8Xe731Fy5aFh68VDtrdMTmPyid8TsJ5ZPY9Z9psb+ zmxtetefE0DpohdLXz2U2Hfm3RQv+vPcmkOb9y1aaeWiecxNv8Py9V4BgP78 SWNSPwDFiQnDII2Yy9nxMBBNDrN0ofSAijAMTQqzfA17//yPJjUx1MTEaY5d TJwW05KYOC2mJTFxWkxLXs5QE0NNDDVPzXFaTEti4rSYlsTEaTEteQVATQw1 MdQ8NcdpMS2JidNiWhITp8W0JIaaGGpiqImJ0xy7mDgtpiUxcVpMS2Li9EAY UmKoiaEmJgyD7DnMt4TDSWHOk2Ngtr+ipwoM5nNWgMFYSi40KZYshkQpOTVz ymIq30u6CgxGVHIFUPmGMnltRk0MNTHUxFATQ00MNTHUxFATQ00MNTHUxFAT Q00MNTHUxFAbH/O8jY0xM3vqPgEy2D4p "], {{0, 0}, {205, 202}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{250, 250}, PlotRange->{{0, 205}, {0, 202}}], {134.375, -134.375}, ImageScaled[{0.5, 0.5}], {250, 250}], InsetBox[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnY1t3DAMhWNv0pU6QhfomF2gAzVIHZuSRUkkH2XegQTSi86n9/SZ1u8F 6I9fv3/+2j8+Pv5+/vz5/NkzMjLeP7bXjbfEWJt9WCRGpEiMSJEYkSIxIgUE 43n4xCDVIE2xRHiM27qP+RRfmrdS1ZrUnhIPjzEnbsC4PuzbN2bULRiy1uhj wugFsjGjHzMbh/R3c84iawnJBjxI+7f9wPh6j/M0YUwN6Zqg2Tg8DifG0JwN F5DqaaK/4jF6urao+ga1ccqGSzru2Thd2naAbLhg1Idojhju2ViI4dnFF2F4 D7hLRirHaDyvbvOGY7Ruvdcs3jTGRPvW+6ypZi1WBBDjSQ4kxoMgWIzHQNAY CBCFREgMuQZs3sA9VBoRMIa6eiGkqcSXpO7PJSMehk4DiGGrf8o8jGFoBG2A TgC8wrVyaKujF+o2BXVtPIZBQl8Zvm2yYWBqPjdi/q8ZCkPdTY3DPVOCSPrX u9fF7Be0M1g4DNXizuLtcsBjX6PaasMwxDrQ2R+1lxbrYBcxsCMBqZB9SYlU I0IiJcCSFCpHlDZ6ztD4K+at+rDRji+ZZGcDY+uyGGnd8fpT+w3GZsqXNGrS doFAgBjqBgFQDBhVTXNDLAIQDMzzbSHRY5yGGAaitfIM93ADJaJWli9m+NLY DM9waQtr8KWhkw/EqS/6OF8auDhC7NKMhMWQgegwPDtGZTP7Sb7UlV+BIbmv ilrrMGbDa7+xOBIjUiRGpEiMSJEYkUKAcVxcN3VTw4GpGGPhAoQa4jGMjZsP agjGWNl7qCEWY+kYQA2RGIuX5tRw4C1/qBZ38esgqeetGXAhbZwIajjo6K+F wZonhnu0HioQxsqhihoiu/jioxBqiBtwI0diRIrEiBSJESliYpAj+9kzfr7U qSVumCzE3zyoMPxnc+n3J8psLPnezx3DH0S4Y9Z3cU8Q8VdylpHKacmr+WbR OODiQU5FkbB53oCmpNxhiCryJY25ISqZ5RiAkzhxZ7jV50uqhmgfS1s6oWsq 8RLCAF878yWlIIHpnQEohtWeK1+yqN6j/SYo/BbqW/2Xz/f2vwBGLdV6wnDp 8MKYa2F0jNn7jOuMHqotoaY26rHyGqkabzW1I2O0mszdd4ylE0brPS4dUac/ jsIxHQ4YzfZ2Jm2EKR6jQ8FhIFZyfAmheL7ZWUJFxOglw48DjdFu6hAj2n6j T9FPh2kTPGyEXq680tH+umjJCRaj05J+I627KDRG51JXOxLG8LnpXQ2DMX78 OxfDYKibAThhgGIYqho5cBi2OSwKhnUmDoOhrnoqPI/hsPnR17RkQ2SkFJlU Rx5+9p1cxR2tXCkSQ+zkJ53ZsBl1rm97ORdONSkMBv0PJI49LflXpj6NUdy7 q9hdi89Jfr1QVddskHt3K+mCSNG74pqN4t5NZWNG8rtHrMfYixcbxiVB9aZW vuouXmwQQNnYC5Z7dx/UZUr9ioXfd3XbTvRUKrJB32Gr6rNBxIsuot+T1/f+ ysaoZfp5o8AoX7UYW93Xrt89MbZmNtoyM9Jb2WY6avlhkL87qLOhxSj6Gh0M 3br4de/2ezaGRv3GlIOg64BbdOXqLmox9GHCOF7OKaR32BQWw2Lkq54YMiNf 9dyLPxuJESkSI1Kswth6fyINkWdLSJdNv5uaM+BLaJNlk+vKqdZROjEmnN4A w3b0MyHPl5AuzjPSopHKe1pdOeA6xtJ5w0WcOjRLSJd3mMV39+6RK9xIkRiR IjEiRWJEisSIFG+K8bLxhhgZGRkZkeMfIsNAgw== "], {{0, 0}, {199, 212}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{250, 250}, PlotRange->{{0, 199}, {0, 212}}], {403.125, -134.375}, ImageScaled[{0.5, 0.5}], {250, 250}], InsetBox[ GraphicsBox[RasterBox[CompressedData[" 1:eJztm1Fu4zAMROPcZK/UI/QCe8v93Sttm7UDw5o0EjmkJjEHCMAm0NAvkiVK bn59/v74vF4ul79frz9fr2upVCqVUrS8sN6PIr//OSoKHRWFjopCR0Who6LQ UQDFarMkfilhFEYIfytS3o3CYnZdTPQMikO725/Wfj3W2b2tcDyY92hpHpzN dqGzFY4decGFuLY9NgrTXmuXdx1R7l3kHIrN6m7johhgiOsL2vi0UtjyLrs3 3G7jrXDsyOumsLTCsSPvdndbzILX7scfgbXb9oU65KdQUCdF9pc7qDNRRIx0 pt80CqpfF4VtQX2WmOh3HgpTgfY0L9NwhII7kpMp2qqVkZZqOETB/PKyKdas rIyrHRXjVBRc0YfoZApSxmmnzflrd4SKApjh+LV0pl1SUWSoKHQ0jWLGTFsU CY6nouCrKIAZjsNVFMAMx+EqCmCG48icfBWFjopCR0XhTPwOM21RADMcR+bk O56qAuGrKIAZjsNVFMAMx+F6j5mWqqLQUVHo6FR1VFEkOBaFM3FVII0ZjsNV FMAMx+EqCmCG49fSuSi0y8E+im8GZY4uivUDXYyR+6IoYtVPwf3pAlcDc5Qu RP8cJczQPUcpI1zHZlpdDa0X8ZdjVO99QR1Wq1X+r0i4t8ZGYWz9wK+Ng3VL ZcwH5suJFOZ07bw/a39xK5KtTZufNM2jOGZbxgWvvIsiYlpZ37BzjFKw+mtu XzTJzRT2Xj0yWEYUBcMzR7UQhrubguGmaO1Q/LOLLf0xkx3jp3d6XXkUJiPQ yLReyBW35zob1NbZKZSQHRRCGB4KHQzHfSGE4bm7dTBcc5QMhm+mVeFOpAAV NUtJqx7Yn3HtcUxP8w4U6PiF6o7jgETiFL37dXWK5w1DIbIoltuJpjTFc4yF /ACk9cfxqMv/pthg6wR1ihXjgUF8ucWaadchA09Z4mtG5noBrzel7uVR4Kk0 p3gPpkjagdAoYKGUtY3i3d3wQD5pL8ibaRuKjMnpngrHFqeWwuM3lhvHNq8d RmJP0PcX90vPPR6h75LWgir3jCdmr5d9UBVCkX7aFkGRf2QYQDHh3JNPMePw lk2RukzssuLYbDflGJ1LMetRAJVi2vMMch3lM3BkxrHJatqTJWpl7r0YR24c G4zmQTD3eoSrsafH8ajLVIik0+ZoZT2/iBWBYj4EgUIAwk+hAOGmkIDwUmhA +ChmLxN3eShUGFwUOhAOCiEIV1+QL8WhmBPObBWFjopCR0Who6LQUVHoqCh0 VBQ6KgodHf6h6WX1bhSlUmmvf0geOAo= "], {{0, 0}, {198, 207}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{250, 250}, PlotRange->{{0, 198}, {0, 207}}], {671.875, -134.375}, ImageScaled[{0.5, 0.5}], {250, 250}]}, {InsetBox[ GraphicsBox[RasterBox[CompressedData[" 1:eJztm9t52zAMhW1v0pU6Qhboln3tSo0bK7VkghcAIg6Pcdp8MS0TwC/wbuXH x6+fH7fL5fLn8+f3588tlUpR67qudhhR98+oPcSyFBS52AVOAUGCwdEvVoWg bFFhURhFmAsOCgoIkpGWQ8si5awHJL5ccPQLhGTo7iRci7oqOOB698uJRl8t 4XWYXk9mOuqIhSAVT5j+vy1UqpR6nN2k/uh9UlYPTbnvfvroWRSSv3o0Qzqf Qh2nZy60KjKM5QKA4lZiGOsXI752bv1IBFNCirarlVLD2Wb1/ku4gd3mmnUa 90k9Rl23qhtL4TPd5jr8dV/VtqiiG89m1qSolDqtFil8O8uU3v3ipjzmWzQj F9d97zPPeK/3oHFf1PPFt9WjeSeGoUyesDKfT3HOvltxN43+zrI7k+Lg2tVY UC6cvU6kqJQWEtzpgUZhZ4POW6vTTDf8+mIIr0+WL0VU73Yeh2Ny4TwnxnQL 75k9pkW5L7OU++7vaHROnTFslpSBaHYQI9bHw9H5OTUXcyhUG6GGSeF1bzxa t0CzHgpFzBjlnotsUTAU2buBFLRLclbuu2G0bOCylkXKWQ+HgnDW41gNZoua VrNorVLqqA1CQZgLDgqSFkWxAuHQskhR34g5i2+v96ZjFApF7pJwKAjXURy5 4KDgaFEcI+1oza8vGLVfs2odt00PBjL5Uc1KKM+Fwao4FJVSsy4KhGmMwqGw jFEwELZdEgyFadaDhNBh+MViUNAKxFfGwwNECkUy3AKxKeJs8OHHrz2eG7hg fPursnN8e5uVhrCNwtHRruRmd7Ne5Hj8aZnGnnRBeO0iYY1yf0f93GTx/Urp efFtUx9cH0WxXnWM8qI4GL5+JWOcQ7grjV3SaRQF3/uPH/4fP3SMs1I6sUW1 KEZNTujdhbdfKY5RHf71Q/ivQIoMPRQVe+X7MhCUGM/g5cd8oVl8SvdFeN1r tn55MJi2u475QnM2OHVVK3mzRTGdoutDq54emL4Rw6GolJp1pXFvvt79bFBc YMyXYZcERGFoUUAU5rNBv1AsyrNBTAqYo75hRZwNumvZwGUti5TPDbKMUSgU Uc8N+irquUFfMbao4cogFIS54KDgaFEcIy2HlkWyzXooYtzrhUVhlG2MQpFt l4Qy0hLOepmLUOXZIA4F4b5bURuDYieSXKxKQbiO4sBAaR/Dyl0SkDIXt38t EoHdPF9AzBm256OefwXKY98NQOEQQTzFTq5Ph86UddYjebIoHuEu2xiFwWAb o1AgbLukbb5wi0Yt83kUQrOyr6PiGW6Ma1oOCg4MjDau0LKBy1oWKZ8bxFGO UTjKs0EgZS5wRDFfHHasyyrq/qVSqdSb6S+QwznU "], {{0, 0}, {198, 207}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{250, 250}, PlotRange->{{0, 198}, {0, 207}}], {134.375, -403.125}, ImageScaled[{0.5, 0.5}], {250, 250}], InsetBox[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnG1y4kAMRLFvslfaI+QCe8xcIAdaUoSqAJJH6tHYzbhfwg8RS/IDzweU K38+/v39WC+Xy9f18Xl9rEKI+Vnelyk19n33y5AGE9JgQhpMSIMJaTAhDSak wYQ0mJAGE0dpFHc6TqO015EadjPrq45AOT/aaNDt658rVDqn0Tiw8U3S8p12 /3Vf9MM1Cr4oY9Botfr9Q/xu5PpyjI3OGbM1U6XL+dFGg+VnmFpHBft6x91m wlCRpyQnMo5dHg40r+yoRv4v4XLJsWHMMn2XWvscQkl9Gv6wxc8ISurScKfQ njOCkjIay+M4ANe+V2/o1YD3VE+dOiwqtqN1O9xJNKqGONjaj5BqU2jEl79i yj/9TaJhNhlS9aGDNOI9hntII94i6QFoSyPcIeshDSsqAdgASsOKKkC249Qa 8dKEGreq2U+k0niNqphjMyKNRAs/qusxhcYOSGMYpBNuFmlYURUnXcWlYUVV SCOe4kdVSCOe4kdVTLI1lEa8hR+9EdIYBulMlUUaVnQUpBonXcWlYUVVSCOe 4kdVYBqpHDoN7KY3aSR6ZMoiFtIYBmAhjXFMpJFO8aPDINT4KZlcO8AucH4z 9/Z0djXra96nYWbfNfDCkfxaDSP/ts3rvVhbo75a46XA9zP9Q641Bzc0FgCz QoXGRpUBGkbJpyexqlsiIzSsBlUam/NhpYbdoEzDtNhppirT8JuXargNOgd5 wwLTcNY5M/k+xEOFNzpulyjU2DiBinUjcUaxfhXnlaTV7000WgAaNZdJLdJg Iq/RWokOAdeg8khrtDcGR3BWjbVga1GPNJiQBhOU3+HmkQYT0mDixBqTTLjS GIU0mJAGE9Jg4sSrOCHSYEIaTJx4wpXGKKTBhDSYkAYTJ9YgRBpMSIMJaTAh DSawVXyH/4yeA7otjG87AtxPFT1yT9CxIY0RYBps9+ihnzfILLCZisxhhWYq Pgl8wiUDXjfGnA7KWVfxlXJ4nHiHS4g0mJAGE9JgQhpMSIMJaTAhDSakwYQ0 mJAGE9Jg4lnjbZlQQwgxKf8B+5RAwA== "], {{0, 0}, {199, 212}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{250, 250}, PlotRange->{{0, 199}, {0, 212}}], {403.125, -403.125}, ImageScaled[{0.5, 0.5}], {250, 250}], InsetBox[ GraphicsBox[RasterBox[CompressedData[" 1:eJztm4tRIzEQRI0zuZQuBBK4QC+Oy+OgbAmMZbVm56PxuJuiCtqaaT12VytT 3l/vf36/n0+n07+P778f32eKoigqj96eWJVRoo6/tYiSUUTJKKJkFFEyiigZ RZTLyOEmrr2qmNQxqVBmrxVBmRystcb9cEvaOKBMzzth470o80tI2HgnisVb wB0owzehz4lyHq25xij3fy0vlKEvmcDDBu3H82qz7YvxYNy3w31psxFFdIu8 H3l3rWxFWW8zOII7ULQXxVebR1MIQrHR4A9yu4JFXPbzqSlW42+G5LgnQtGf qcgQN9xEkvJaOdwJGc6yAglFebzPMeofiDLsbJe3HcWxv1ug1SUxCUCGWRBR BAnIMAvyZolCMbsRziKQYZXjzhKEYrbRmmYgY1oseq/ozBKDYrj/nYUgY1oc vPeciihtLFFcRJQ2NhM3UdrYMijCJKKsByDDLoko6wHIsEsiynoAMqbFZRbj V924uIsobSxRXESUNjYTN1Ha2DIowiSirAcgwy6JKOsByLBLyoxSaAV7VRR3 EaWNJYqLiNLGZuImShtbBkWYRJT1AGTYJRFlPQAZdklEWQ9AxrS4zGL8qhsX dxGljSWKi4jSxmbiJkobWwZFmESU9QBk2CURZT0AGY9L29daRWIU6RMDRFmX 5gTzf7pGJKJch2YiIUofWwpFlJP3WS/B1BqKoLlUWhTRSN/TUbkHk6JIekuj oraTn211JPCQ+qDcN9Ev3LDeC2XYVgODtxZuKD/6/FyM3w5rB8pNp+svBigP J7iMokx9fpRvU79tbg7ij3LTdjYRJATijfKz/DDIeedifGjikxLcL2oxXq2b vCYudrpFepb1amQc6nqwTMUS999JLOXKkA5Fs1wjI051UO5vRtJ6ZISpDspg iyBtgIwojbY7wgbICNJw5ybsgIxAZbzbHxRRejUyAkWUXo2MQBGlVyMjUETp 1cgIVCEUnYiSUUTJqFQohVYwovRqZASKKL0aGYEiSq9GRqCI0quREahCKDoR JaOIklFE8VGhxZgovRoZgSJKr0ZGoIjSq5ERKKL0amQEqhCKTkTJKKJkFFEy iigZRRQXKZ9wSYTymVzj09+X4BIo6vxsKCU+/X1Nr3GC1XkUR/+0ITKipATJ hWLdYDdKicv+crfX1c+NQJXZg2lFlIwiSkYRJaOIklFEySiiZBRRMmqA8ryq i0JR1Fz/AX4nYYw= "], {{0, 0}, {203, 229}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{250, 250}, PlotRange->{{0, 203}, {0, 229}}], {671.875, -403.125}, ImageScaled[{0.5, 0.5}], {250, 250}]}, {InsetBox[ GraphicsBox[RasterBox[CompressedData[" 1:eJztm4t12zAMRUNt0pU6QhbonjkdqolrSaREgvhSEIXXE9uwSADX/Ip2f33+ +f25fHx8/P3++/r+W0KhUCjkQOnGmpdkXPvrKkj8KUj8KUj8KUj8SZkkvf+9 fZWLb/rxnoqSipKSlMnWrVS5VikqBGOT6KWwujntnKoBl1Y0BgkiqkxV/2l/ rIdmktDTo+nMYkEySmYkA1oCkhrJiC7VCPx+3h9FJNc1yDaJ748Skit7li6J 7mpMVNrSBz9Qx3PXqnRoDr2VcbSQKd2ABKk+yV3YHkRiA2Lg9RISkw1Dj0QU MruPyt9E3RQUdTFZjCDJ80afVBd1nZBQQdK5rgaJSGeS0+08rq4Pktq8jkAp 6jogaSRdf69dF8NuToKfc8tyRd3XU8cPTCLEonSO4wdf1K1Mgs1gdVvYQpX1 hDoLF+uJB5LsLSRKrU3AfEaTgKXz/lXvXYhgVVs6/F/jlDTii8bb664D/koS LMbSWEHxjkxJaFKaKFu2udQCXk2C73x9T7Btre4wRudzMUlvJN+GpDsnKZHY U6Ueyl1I0nwkzUB3IVm6qQbJ4o6E5Amw5yEZoCCpeYLtq0W5vYHtq6VD4gEq SA4HOnoJsXUfkl6QIPFHwvc0JckQBUnfk4upN9PFuxXFj0ODhLtLRZ9pb8V0 jomEJKcyhON5zyTA11SVUxTHJBiQe5AgzhSrdT2SLCsMLnTKq9TrDCQ5F6pm BRX7edHlT6cXJ38tG0OC7kkVb6/080ugq7RssI1ispVxywZR8kCd0hYMS7K/ bOQC2p300BVOc8H/jzdlMcH2zRrDiqS8D0BPw3nHgtpk63o7gwFJ2c2RJGWc laT5+4OCBPoPAiBJDwrTv7OM8lxTSdKfhbOeRSfpZYiac7LCpLnkFGTZnvRJ iBlx6xULiQMSrvYpYpsfmiXbtgcUjd2KBsnIz8KUhDnKucFgW+h8IIolCbBM GMiQBFrwKE7QJWFbloQcRY+En8lxp8X2gi4J2/xRe9o0cr2gS8L2IpmBFMa7 8jiZh2S7aJaGggsaCbHb+yVZloXEMtVuRdFbNxhsC50HCSsYbF8t633XyB1u kASJMA0FF0GinIaCC+8keMXKiHQuvV8k3HZ6JqEdBXDHyZBuMw8J6cjMNwnl xo51z6hzAITRPCReTlOJuUBe6AUlYQ913wjSmRgKAV2SkZS1X5ZuFwR6tDZJ Hun1WncsAcOzT5LoypzlhqYGkWxO8piqIKmWZ48Er3OQSkCZmhwWJMd3+P5Q IbJLsE0Nc3RmQNK8BNukMDXnynMXcIlHgt9nqw8VMBpg42o1Cmms8WixSHAD WWffhRabZOBZA04cEmAqvFB8Em8oDJL2Mnup6CTtnc+1kpD4QjE9uRuqp5N4 61k/CpIgsVOQBImdnk7iUUHiT08nmWfEB4mlgiRI7PR0Eo8KEn96Osk8Iz5I LBUkQWKnIJmFxKOCxJ+438fbZCMR67tflzBkkhXh/iR7QWcoAhL1XGRiksww Tpb19x42+fDF/C2RUTYSMWdhh+KQWOUiE5vEHQ9/jbfKiKsn77u8amaS+2pW klAoFLqT/gEIjjdq "], {{0, 0}, {202, 204}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{250, 250}, PlotRange->{{0, 202}, {0, 204}}], {134.375, -671.875}, ImageScaled[{0.5, 0.5}], {250, 250}], InsetBox[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnelRwzAQhWN3QkuUQAP0yV8aAkIOx7r2lFfyewwziSLt28+SLClmhreP z/eP9XK5fP/+fv3+rhAEnVDLuJqYpFfvGwsk8QSSeAJJPIEknkASTyCJJ5DE E0jiCSTxBJJ4Akk8gSSeQBJPIImnACRGhhFIbCxjkFh4BiExcBWQbJ8hWXDn nkiVnlNVw7QKck2WzetSZqqna1sPV5JqbQMQSV87kPBTSIfRuCQ1D3IYdoxX Eua8pKRAyqLdhHzverzOXFRWHrnKgiskI3m4P4F2FZTaepCbtAqqTe6vN2X6 4UbKot1ERPLM3WLikLJoNxGSPN4rdADJ61B6zngVh3aqqfddrzlkkhIpR9ds 0ioQ5aCLITRuFQhCzkJidQhku7YKRFENYrA9jz8zGgkk8dSbxC88SMR2bvFB IrabhMRzUyYlkeUzDYnVnr8QvFVAbEdrNAlJ9nRopr7zJOLKCJJ5SPwEkngC STzhpGXm5xcZ64nUz0wgAQlIBJFPt+8CiZ+w74on7LvM/Pwin44EKyNIBJFB IvUzk4RE85X7PCR+Eo2u6UhcEhJLNuMnI/FIRyHhXXgqEodkVMLpNxxIZ5Jb cJex6XbSysZ5kNh41A3tSDKB/suUXVJo7UmShrqWaMdWob0vyS7Y9b16khSW 5SLJYqUWnoyk0N8dSW6hVwsTIolWNbcBSdJCA5MshzNJpvD+mTIyZ8bTimt+ 5ULteqK6C9t01V8ShUvKCUIrLtazQCkMcRMRSdz87cQg6YMitqGROA6K1Mqq YYWkB4rc5mQkhf2BgxQ2NJJu36V4k5SL9X67TycjEXmBRKpqnOU2I8cnURm5 nU+ofuwK5IYgsRJI4pGI1fve5SeQxFO4ldEu8tEk7vcukLDjDEPS3OcOszIe 3ydmmoZkoj5pCSTYrQQUSMz8zAQSMz8zI5BIBRJBZOy7aGbtpwpjkbASoge3 ikRzAwkltlUkop3bU+TzkVhl4Pdgn0byz2GRxfEk5c+UfmZizROTTmknI7Pp TlJPZmmlUGvcKtj6eB+BrwbOfyPhdP/cRbzdWPgNVzKJ0zqQRF0W4thK0yGT kLNjKblC1CuW1iOvJ5z86Eo2YlSndAPHWk+Yf+Sz0PXSZt983fw3n31sLsl9 KrqRPLNfUxLaRWDdu1gcJKVdUt75bX/Szux+jk/c0mxIl2zPEYEkfUcm2ZUk VZTJsZS9rJROSescTCKWeI0fQCCJJ5DEE0jiCSTxBJJ4Akk8gSSeQBJPGZJh NS0JBEEQdIR+ADKwQ8E= "], {{0, 0}, {202, 211}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{250, 250}, PlotRange->{{0, 202}, {0, 211}}], {403.125, -671.875}, ImageScaled[{0.5, 0.5}], {250, 250}], InsetBox[ GraphicsBox[RasterBox[CompressedData[" 1:eJztmoFt4zAMRWNvcit1hC5we3aEm6ZFe2ksS2L4JVr5tv4DApSJTPLZsmSg /vP+9+19vd1u/74+H1+fVQgxIcuJua7JuOsfi0z4kAkfMuFDJnzIhA+Z8CET PmTCh0z4kAkfMuFDJnzIhA+Z8CETPmTCh0z4kAkfMuFDJnzIZBT+dthN/A2x mxReramOtOOXs39NqPbqEL1J3netwyNNktNXSNz2+tYrTNZ0VhR+ntLkaYev NPGlSD1ObpJ9sRSvsB13kcyJcn0kx+OLUp4Ra9c9ALa5R45C1lo137gmtqfv V8jbmZXU8/3R90le77wm6Tp0ZpPtV20m5cMGmuzueGhfdAgfbPJoImvnVCZP a1/FpH27LCez44O5jsl+We5KZMcDWIp/4mlebxJUncqka6YxmfTd/Wwm7eXp TJrrDzHx9de5T8oELOLI6n2+qh9vxyHMZeJ/6K0msOMQvN3x7ycyAYvYcQjX MRmCTPiQCR9Ua1dnETsOKnKVVVgmYBE7DkEmYBE7DkEmYBE7DkEmYBE7Pg8y 4UMmfGjtAovIBCpixyHIBCxixyHIBCxixyHIBCxix90g/6viNlkBk846dhxR YYjIiPvkcibhebMydhxT41Im8WmzKnYcVOQ0Jv+PqjXsfQMHGFw9vBp7syzm wZhJSwdhs+v7sPrZdCW9nw13B+nANpNs0Hd97CwUcqzY3ErHNppkw5YFFcmW gZ+TASRJUzSb5AeCEzPLAe+g6fgOk6wPfw/FHPfZteyHPMM2gZLcD0BbSHLc /2pJE2Cy6aOphW2O/OQONdke19DCPsUKTNPKiWg0SQ5z97CtkJUG9pPSichM sC6WJ3t8Nceu9AItgcUTUY09OdoembLB2UV6nqEe2SbZNegi+vEYMnnMydgm QgBMIi7EgWAmzCozmoALy3BAE2IVt8l+V6fDa5I9n9ABm9CqTGfy+3BHKzLn Hk+OTPiQCR9Trl0yGYRM+JAJHzLhY8o9nhyZ8CETPqZchWUyCJnwIRM+ZMLH lHs8OTLhY753JH40mF38JubPBKD3Ca8KaEI8vSAT6nseXLt4RcB3iQ5vpwPA 5PBe+gD2k+Ob6QLdTw5upwPkPuG+MvM9d/EjEz5kwodM+JAJHzLhQyZ8yISP 3OS8XNVECCHOxCfoNU72 "], {{0, 0}, {202, 218}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{250, 250}, PlotRange->{{0, 202}, {0, 218}}], {671.875, -671.875}, ImageScaled[{0.5, 0.5}], {250, 250}]}}, {}}, ContentSelectable->True, ImageSize->{818.25, 818.25}, PlotRangePadding->{6, 5}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10003.}, CellChangeTimes->{{3.417802199241271*^9, 3.417802289568457*^9}, { 3.417828791717325*^9, 3.417828808799255*^9}}, TextAlignment->Center, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztnQecZUWV/6/9+nX3MCQFJBiGHJWc8yBIlqSEVYEBxUFBkiJBBBFBjLuL WVZFdlBERhQxwgyOsjqKoIIriKioKCxidl0Dvv/5Vp1fdb03r/vd+0J345/+ fO6defXq3VvnnKo6+dTB8141/6WnznvVySfOW3vfM+edPv/kE89a+7mnnWlN tScVxdBJXGsX/L9RFLqN/83nlrd03/DD8E+t8de//rXxhz/8gav4OPeN/Iuf /exnjdtvv52rWBDutcb//u//6jHF7ObnfPjDH25oxB/nrue86lWvSl8sCPda 43vf+16n5zzjGc8oPtbYfvvtrW1kZKThiCg2bHnsUUcdVVzdOO2006zt2c9+ dmizxxcrxMeOefd3v/vdaRQ3+Cg22GCDNIpntrz+zW9+s70+ts2ZM2fC13/9 61+318e2l73sZZ1eP3v27GJh46lPfaq1rbbaaqHNhlGsPTWvf/3rX2+vj22/ //3vn3j9E69/4vX/n7x+p9A21vj2t7/duO666xpf+cpXGp///Ocbn/3sZxv/ 9V//1fjYxz7WuOuuu+r+0/POO6/xmte8hquoh3stdPG/YjjcRxof/OAHG/ff f3/j3/7t30L/3/3ud40LLrhgxL/+/ve/31iwYEFj6dKljU9/+tONm2++ubF4 8eJ9pxcXm3nbf/zHfzRe8YpXcBmQdo/Qz2rcfffdjec+97mNTTbZpLHrrrs2 ttlmm8ZWW23V2H333RsbbbRR4/rrry+EKXEnmErdWcuLXvSihKkhR/x//ud/ hpcBy2GHHdZYddVVw+/mzZvXqNfrwthnPvOZxvrrr9+YO3duY/PNN4cFNnba aaehMMhaIJ+eXPOfvPKVrxQYjde+9rWNBx98sPGWt7xlp+lF8vrehhDx3ve+ N5s1Y3Bt4Sxcb3rTmxorrbRS6GdDE2qRQRipXYZa7rXGT37ykxYE1Bof+chH lum3ZMmSFhLUGrfddltzv5FKLxqFTmnMxssbz3ve8wIdL7/88mKtDLVf/epX nTax7YQTTkjPesr0kkWSDoLf4YcfzmWf4n3HHXfU1HVSjfKKxic+8Yl0MWzm qP2+2M2fZctB39uneM/xLzqx3lrfyWRVv9ne76qrrmpceumlkCBNchPxGv/z P/+jvo1rr722ceyxx64yE7BZb/zlL39pmtC2Sdis+8IXvmD9v/vd7yYIj3Dc si/at+Habrvthnzf2GWXXRr77LMPgnZCxqtf/erGu971rgyRI41NN900n5+N //u//2s85SlPmSHIeOyxx8JS0/Wd73yneKGPHNE//85Gjdbx+AP2qU7Jc889 t/GsZz0rXLY5z/eu//3f/934+9//Hj4t97gDblUf3WWXXdZYe+21w17Hd2y0 f/7zn0/1n8D4+frII49M7PDxA+QqPrq3vvWtjVmzZoX2d77znY1HHnmE9fxK J/C9994bvhoeHm4cffTRw487OCPDqTf+/d//PQBB+zve8Q6mZ3G6A8mSRQrk uwMOOODxB6Re/8Y3vpHXhE9nedutt94a+mEriFCMBVkVYgM4f0h7Qo5BJ4kB Lul/0824L28Djeh05plnSjp3YacemPlPf/rTRCesDqvODBC+9rWvYeBpvPzl Ly/Wnd4hrehtf/zjHwNvMkmw+I+ZMaQvf/nLoY3ddZqHFL8aDq9/+9vf3lhl lVUaF1988fO8K0ofmt2dd95ZHDQTRlpr3HHHHaFt//33Lw72FWGcq/HJT34y bPi+0ZUe7kne9oMf/CCIunzaYzAgLO/IBqtveMMbgqHQhrCDd7366quD8Bs7 xTuMmHYuEzdn0TzEJ4P6iiuuaBJNgVpKAII8v0HelG7Ga/WsW265hdbGfffd Fz4bgedUQthwsDFgaZ0/fz7/332QOIvkoW233XYrdvQ2Pj/5yU/2T3EqgLDj jjsufLfFFls0brrpJtN1xqHwZyeFfrPNNgttdhWrh3sNsbbhf0nDxEjAM3/x i1/4u2aFreXCCy8M7WuuuWZgO/x94AMfCG2mshfVsFoPWBVBGZutvqSNTRNq xXd+/OMfo5gl1NocS6gF5BVWWCEgdW1HLaLIZGjUc1GxsG7QbrwsEGEoe253 qBxtQqX3DzYf0LLLYFH6q1/9is+ND33oQ5OgdLjxpS99KQ3v5JNP1iNZ2fx8 ZGSkGHFsMnraeM3q4R7ZbWcMDyeMcdn30tq7Qe4zaBsLanA9WID0h/XMsFvs 6j/KsB+Bd2xjkaGHdKc99tgj/DY+kXs0EwguWZv6TKl9fQ1nVAl/TPIjjjgi aH1ve9vbwvrTUJGzabv00kuLYQcJLcmHWzx9EhJgwmOB8HvbcHsmQRxAwNwN N9zQOOSQQ4Ybjz76qKEwk2y1MxUr+2NYZkBrV7FJuNcayy+/fCKUoMJkp7k6 y1/39Kc/PfQDQwZ1fF0t8N4podVY+IxR9iUveUm4MNLRxuuuvPJKSQgg4P3v fz8stpD9BXIiyNBD/fCO8pjXve51aeGKdP/yL/9iv7VvfeGiRp5//vlJLhfd ttxyS/sU+33rW99KmFizEi1rabuPgI63wVb4tJK3obfVajUuIyD3WmNoaKh5 pQ35FwCoAemhoiKfnjVAcsUlP9p42tOe1rjmmmuCNUW0MmUbo3mT8EkfLlOC BCv6J0tuxRVXNJDsR9aGhCeQIu9ZLtFMF4/BIMn/mdy8zsYldiPS6Zo3b549 3rYuvSPTrdwY1D867uIjb+VNLDj62BxKc3EKSKWdDf//C18YTXk7O1rpg3no xhtvxLMT8IGdls9nnHFG+N6m4zoOEZaDHKLVV1+9ceCBB2JlWIZSbJg8hr+/ /e1v4f94CPhu9913j5SanSiFU4Eu7DyI//wfAcS7Nx5++GFjif0hFEb/b3/7 20XN7w899FCaDNv5DBLx6IsnZ+HChUm3m0KisbzxW7BX7ZyBoI1bOgS2PdpR zA3zEtlwVcF87bJpzj36CZqZ9nBjrbXWUj/8i9oBcyYnDUMWNWYzdhj+Mg6n AT3nOc9J08SmTTekA6Vf/OIX7VO852s2TJ84+pFghobOvtLpznzRGkOC8uCX RBrIu8YaazTe8573JMYpsubvzINd9NsBkpq29ddfvxSpX/ziF0MYkRpoRNY5 Tlwgsok7jrEONOU7NIUJaEo3mGw3NI1Muh6EfxwlG264IZMa6diHEXejsbGx 0I7xGi83/8doyXcYyh555BEJK3gg8Msinj3wwAOKWUKzk9kzknY0kRYj4cEH HxxWNU82IIuNZwJZa4mstt2m56G533PPPVy2fLnXglYvOkvBxYdMv9/85jeF pM5l6VxLdLYNta32JUKjXEMINmGTtKot3uhkZU2i4rCX41McyUAXo6z563iN aGyLVTP6m9/8ZtAvt9122yTjGZ3TetzRXyfishvBvOw3xaYliXqBD+Ef//hH 0L6QdE1XlV2zIq1Zg0wtYyhNLPZJT3oSUAQawS8xDoKElVdeuZnF1nIW60AP B10FTyuX0aDuTxaF4cKYKXgis41/WWZNnHZcJkJcwopxzjnn2BvQHMbDIO6+ ++5ijUrU7iwOicpsuXBSp7JcTuAEwXHu3LlJNVmWyt0x3UjdkUBdrRsUCtbB b3/7W0FVkcrCeUOClPY2yIw0hfC+3HLLQWrD8O9+97sWFWqODysXp/bcc89g vDNGFd892iTzut0l/IsvID52ONBdf0bgOJLRxuhoc7gD6iNPx2s0KPrafArt aMHGfbXn/OhHPwr+mXy/Qtg78cQTuYrNuQu13RO5FoiM6Wd85dQap59+epAG DE1p7IsWLQptMPgR7tIVe50GowxhfccGtGVPY1R2LZc6hHk/xv8Uc1KFEND/ vPPO84FF0wbEhqldcMEFQYjn/wQh8d2nPvWpxBHQtfgu2gDt21as45TqBuvw 6rhTRaxj92a3ibM89jv11FPF9qzNSF4R6/MdrwBx0EEHaRfZqwoONStM2QxS sF1RHi5aQ7PoNxJEXCESCzg+1kcffVT4JEKAJtNDbcnFRyNt0WaXzWy7t+IY rb3u78xD8sqaVeZ625VXXhksPbDtkXCvpwgbNgW+MyU56Sw27tT/mdzHfMQ0 mhQcutXHwQ+CHp/kOK1Ep3qQTrX7KOJoDachbttf/vKX4TJ5boMqNBxr/PCH Pyyao9lHvO3Xv/51ahMo7Lv2bQjy0vbTjr2gd9KPJ9X9eSZOdU0fuB2OtjiT TCWzpxrLCQ+DTvQnhkr04d3i+xv5OLfbbrv0fm2nPZDmZd5mmzO2xKaN8qab bpJRMQXHtFiUy5JJGOVx9LWVX9TaYF7D6YTRvdr0k4jYCZMb+ntxu7vprh+T XP7En//8543nP//5TZtfHnm4Wm+Y3MV/Dqtkk0e+MAyePCDEQTCWgV221rhH 7i1kCkIkKfrlz+sBmbO8jZhDhV7+i7edffbZy7z+4x//eJqqPSJYTrcDDjgg 0JJPigHrF3Y39zYYpUDRqnvf+94nASGhRjpBDnLuA5JVoyJ2+YxsyqdjvA1V H90i7lHxVXi19KpVe8Nu2SABbZmY4TAlR8htottSzczb4c++d+yNBFlIjg32 LzaXn/70pxv7qEEs8a+YxE477bSIo3o+U+UsThagPuD04osvTuQTTuHVCiec UpyOBWGcrYN2hGMUMEIS+L/JhvKoa8LCsTDH/+u//mu0l9tjsZmAZnpKaPvG N76hGOFklQXfbIZ80pbSh21hWSQPh2QEorK51ltvPelfyIVq5vrb3/7W6w7x Am8j8oR2Ph1akgZ7OXKzfiF0GGu5mFC+U4jFYxkSwmf78LF1EcPheWebDAa/ Ch7PhTfbe9bsDw7JxxC+quGw8y6b4w5jhu2sCUJE+0suuYQhR3inB3toLuef f3643vnOd5bF3vP957wdoxrthqFBIpANw7hs6ofA+NKXvjSYDeutCOQH9qV9 YfeKSp2wiALZAYtlFT2hC0+Gfm5X7+ga3ySxreHJijEsz33uc1s2Sam8WD1M 1x5nBet6Z3Rh/4t4H0Nd6NIMgQyhh71wRuFu4403Nqxxj8Hm/BkOE/9mNjN7 spFiDQzo3sxZZ64CydxU0WLQJTKO8Dasyi5lJLmNLA+N6uCK2EFx/dOf/sRl 2OFeS3HMyIEj3gY71Ts0o/jdXXfdFUaxcf8whKGdLCCuRx99dC1vRp3Ggchl m5Y04E6IkyWb5EJkLwIZt/C2F7zgBUk6EjJZTlWReay3IYNgcF9uueWisLx7 NQxc6qD+4he/SHPEdrmqoCIy0YY3UfI+KU8etZHkeDIRBepBJUE93ttY5/ze pN6Iuoqgaq/F8KUxnNd/8J/tbXA7Am+iZBbBRwBgClcB/wRve93rXheyz3iS wCOokOg6Pm3THTYklw0UGyMhwXbddddNl9vma3ywO65IjeLAkoh5ibedddZZ 6bfaJzD24dK/4YYbqiJGbfLH8en8/iNmK2/rRiZUAtNJJ50U2g455JBuoZT6 yKcXe9vJJ58c9KDFixcXT5tZkJ/iw8kzcA36PgIvZolzZIDAY3TGqlUd+Hoe yxgs9Fh2tx4MBp7TA6iXVAJrpAksLoRw0xS36g4yGK8iDPoBGW58ckfIBi0L 2f7e5t6/sHXP8TaF60TGEO+EzfpfEhgqSTLdgVjWpNIOHKViYA5db731mpg9 v3WLf7fg4FJlIzbtP61GTJ9UOOD60Y9+VHY19gNKzKRqE0/3dJrQY/NqUO7h bRjsMdQZsoq9Hcou9xyZGhBZiR5sVNhf2kEu1ysBGz5lk1UPjRjNuAvIR7PH IsAQBBW3sJFgcfe2xt577x3qIt1+++1aiJip+QoPldg9DkfaTB5ya1zPCOyG O02MwBj8gZbvlyx2vCZrDsFKFdeKcEk4gt4qyNi1sNz98pe/TKZL/DO0EVGp nQc3g0ip3+ZxUUK0dq1f/epXvSJa9CRGiniR9773vT2JBu2QH94hNQuPnxZq RaYyGYrh4rSRKLScowRDPuFsXPb9SIZlby6eGu7NKbrC8hRhvl9C2UzAvNQZ TFQet21jiK8HH0+guG8oZgMmQ+OII45IUR+8njZiN1cP9+aAr8cp2itGvJbF pHwauB89262x3377SW7CRkTgayNtxsMJcZhTlyxZIu+JcGeDtk8XXHBB0Zw9 ogjbfzZ8Did8MvMMWWJuxDggphNMKeZGrJsQon64Sz3fw3119cAsETiEqDe9 6U3uphrOxXWKU2nZ4YElxI6IW+Eajy1D4Lr22mtFqk996lMhnjtfDrnpomwF isloQp4uuJ1imsxxBBLORa6eEHXrrbd6Tlc9yLfkq+miUsFKjjGUYaxymMuW Ll26guOIx/EYMikIWsXQu2jRIrlsqZWhWAFwTWjnEM8uagrIa+ywww6F3E8E WbPSyGi48sorh0NC23Dy9+Ojnj9/ftkaE71ovF2iHKHtox/9KFeKoGXy0Q+P ypZbbtnYa6+9cDWsm2FW1Ahl2GIREURszbtRv7NyrEuIw+X/8uPjrFWEKytJ cXyGN8UBKox3HNv18PPLLw8lM0JRrjPPPNN6MvTmmN2RkZGpQLkYKOIXq8Su 4qhqZNjYEcUj1llnncYpp5wSeKGUQorMKmw+w3vahog4IPadjNKI9LEQGEg/ NwWFuGyMvJ7JKQTnLFK0ENJZAueff/4aPiFyvLOhEf9w55135uX+RPmyFWGE dwbHmrTtticTiAsuxx9/vH2BYVgDqii4bOxIFLI94jZULCPMY+uttyYcRssH LziJdDhxVw/3WuOZz3xmGpYUenYi+kU0xzu/hSYsjnvuuUf5zorOYtMzVVYZ JZORC7ZpT1vZm9l9fFCsYZWty6nIHz4vw1dIT5CjuhtS9mIE6Ze8uZGDzrjI F0Fcf+SRR4RTMEFXkGjSvFilyslEGSAOgjYNotbSj7Izwj3Z+B6lSHxyfNOs nEyhTiWqGHNGGV5sZxMIUKJBRqeUT8QyIagshtB2TytZIgjqwQbWqMDUB0k/ 6QF5AeqneRu4cH6csE/WopwpDz74YO7KBVV22XLkHj0PGq6kYQwn9HvsscfS csT0Jz5khBY19HNSVVuJ7MbJFM6O/MJjibKrQGQRlFA75BJjAInwvRB5pimF ahO6xok8TL2PlI5jhBaaWDpOYwe13iR/cBEGPhR61EJOtEYnwuLQVKKX8Uk9 mjh0mij0I2xjrvKuRc3veR5zBaIO+2hba8NRmaSscDLTCZl7ekRIsA1cXPZ/ oQbxjCZWXCshsdbxHZGFW06G4XpwgPMG/pDsP/3pT6dqOL1g+vFkW2mH/edy D+EtW7dHoHROlS8kEObQQw+VyRhZQLExuNGJmflnxF27CENVNAJ+9GzS2nZ1 dJFMQz+ufffd95/RVDcZSuBItJtIm0Ijpgt2wpOZueiODntUIynX3iPscCSk +wS78ApH9z0lBc2UyywcDcIISNDlSQFBihyipWhOrlKS4BQYwcJ2YYqdKXFN rBQV1FSRapBGtqlpKb8EGcitkDEEeOQAIdvH2wjt9uKlhZRlk73TkGI+VYwf RrznMhWq7AIX5MQdkiE6EeQXDhZKhS7nUKI3YhjLoezSVCsXtUdHhhcIpcR+ uxOkuKgklFrKJE0TTYXVwpdyLImVe1UqLmWViOQRGBS4jKjbeld2Dy/ZnJRy ZG29bYf+YAoxB+tDjik30HaFqUFs+IqnRrD1jMWgnmKsXLJkydYtQ8wxxtak 2MAeMTbH20gc12sEHLulQhpfPwMwFr8aDTo/EajCGhsKtTSIJNnSf4c1mD6c vyTpCsXG28JlmO51aQp92BcgXI4+Io4F6UxAn8z1bIzkaWCw5DvKwm2TvwPL md6xc2/4kUuHsrAq82aSSB9MjD2jQ2VXsf9xyoftUilziRIiyJx82mxAqMkF NGYm+vNMwIvi7LGVUnmOUthD4d6c3LHhFOCFVcwnhc0Qioaw9Oc//7mQDQre TxuX7QxlQ4wHj8Kx4ImkVByXDiogz5lIvtNPP70jBtl89fvPf/7zVTGIU4m8 Oj6ptCfHeii5UZmhSlwAKmEVQzttFAGx1TATsBpBqAdnnzI6uEzxmHgylpWh 9/Q2PpOH+LnPfa4tfmTKZtZxEAztRx111PbeFeUVlNsYk9e3E872cbjIouWx ukwuirwkyLdFczzR0/qE1H37gjg9AFDx1xKiGl3vs3LshSeDItY1bRh62fe2 d6ySK0Q7voPrrrtOltZyGIxFtdx5ncJXcEG0IC3W6LUdbXqRJsGUWE6CYU1A 9fCRWaGm0cYbb9yEONUgYkkuWLDAJb+RhDQuMEU/k7M1ezsh77nexrTVkpWg qWxAehzeFY5MZymadTFtboRzYcHnOu6448puboFF70IKtBQ9xD8yonGgzfK1 hN5JUTJ+hdPVvm8qpavBaN1mOEz9MGTyXEIdlPNdFpmk+/n7EzIZh95bEZm5 m5YhEN95guOxSzYb8PgcH1oeRqP3a93a7m8owcIbyzMiq+C3uvzyy+XvIWWD JruKzbmLNBhz+ALwVNuhEwp1Ah+arUgipZq8H44IpIdyGCuiEP8Sbeyu/UDh LtBa8KJVQHpqFS7Xgsece2A7p7qjcw/hkYwPgby9P9KrhoQeemRZFMLEcWvn KMzT9KYfhU0b4ZFHHhlyaYmV12xpJ5uAPXYrRKqLLrpIQjvCIT+3q3h2uMci k8JobjKhH0Jk2Um5X2gbCXHxApMLit1xxx0v6B2R69E2AHE6YFjEJ57FYzdT uFw7DDMwamTSbjL/dt613S5J7TDM9dTAKrtLRmzWg3fek8jDteqqqxZHzlxU ShyBm9F22GGHpQM7wRZmGT4pAESYJeTKpJ4hF+OoL+ILfxnBB+1gv/32Kyv4 PNt/rnA6XHjhTbEZ36rgPOWUU/TUyXKW4qf4cxXJ5nr44Ycr5oF0RRlM2LRz GfqqUWY4UWbfffdlcu3WQggnhgaAh40XcX5pLgjQts8++5QW4EUFjJvK+TcF QN5savbSdPDBBydnHtZhhz8ZLXMSiIKYaJFBaLd5oxg0ZOjWcygqkoWd0SWc iclSVp59si9o/P7wZyHbxpTqUCGWIhJR8bbmdwQHvats0rRmLOcYKgUtbuNj KUaFGFFFIvIZTmHvF/apFI/HgU8q1p8HHMXHzcopEv44f0+1HlnsNoRC4Zgw JQo88RybhnJp9apR6GwljilGsrDLVBvuNdUpa5pE5Sg1EjxeOSOzTYdhv8h/ QmAPAYxw0VZLdCfCHHPMMSGmgCSYiMnRoLNTFZu+SCXEurL8zj33XH9WPUwc 9j9l12DOne2EzSmBywJBi89IM7Yu1nOo8sNOYSw85oc//KHCBPtFDFlO6SHR D9FUlbmFiXLEiObGVr6KO0vvVcU4qk7Q7y1veUtFqtQDVYQaapgaq3Ds1sPG he+VsFcinUyq8VC+kWAazScKhXttjisdSoThkaZRa/R5uqs2rYw4CUpyGVVu T3JcpY0sbpFUJuWydbFuJN6hhx5axDRGDSNY+lUYVEG5lamVO61UdPEYHz65 nmI1SFrovrIslCPTaBOZuNC2iLAx0qcUtGz6McAQKyvhlkgt+n//+99PdXRF I8XnK5YOxZm+P/rRj1IgOuT242mKNfxcGDGg+IZ4Bz76jYfuVSacBAMuI9dx 3pWIcr1NUIE9Fd0VaUqRS6sTwUj0PtrJpQBtXRiiypJLIH/uc58LBXMQF9YI 9+bDCoQurFL0w6w41oaMBr8owDLRI4McIhjY6/iCZAitFfw48qcqAAsZCjOv VxRhf0zk9RrSob9CbcmLYdo1GuOBrr2R8njv6jVSmlY8+ymeMnpIFulESpmy CJNunRpE98rPrqh/tDuyJfL3ci6Dn4uX3AllqeyevSasYYWDo1FKtO6YN2U0 UENebvZRYR61S89Q5VZ+D0Vij3hHrPPIzBQ6CUWhPLgzsVbmgpyYMSEyHleU /1WyrceQfYQo6k4MhftwOJlCxLWtpB6am4tKH91CyBzx7BTqV43g9ZA8TElU vX6nnXYqQqSR3VHi9FwpjUhJrUuPJap+UmG6IbxSTnHqeE0r7zcSbMmFizYi tEm4IlQ72qMzSxXX69opYUQKynNq80CPRHzl5xgx1uAuzobYq+dWXM2aBHk4 y2x/rBIwxqk9EsbA8EQdsHrNNdesV5HIHMKH4kC1Bb5DrZY7hmAtWBqfVNuf yGC3jaddoBciY4jD0M3RA2uEey2VFc0nEio+/Tj5S3GcYFrxs5nK55Usg8oX Xq1xsivwjCVLlizDnplUWER4JkEhKgHE/h1lqNEmAbdwxYbn4TvQ1KhIbdo8 p9GoHaP7mcdCp9B+3nnnhZS0fHIiutHGdfXVVysWhbmt89J6tK9oIuTReBoR b29lBxRM89GXnghzfNgtstcQWYnWlV1dyBDdZXDh0Yb7VoMLO7ONLiRR5Pmk pDmSxbhcC+kJ5iHngvPB+UyFG/pCwnX9xSI9Bf71HNG1JMll5CCeFAmYSriy gGrR26xL5EXhpI3sw8WLF6v4OV4IRoiTc7a3oa7wSKJ2y5451wu9JYfnZxaq PFsnemt8RAyoMvZImzlw5JFHyriCFZ40I+Q3YYedljYuYxSqeapladMmIRdL mne1T/GOkKCRS0XCw0u/vAZmJdrW0/HSSJyYV4j71aPwlsNSTfNOFiY0fWVG m+i2k3dFqyI9h0/KaVemD0qbPXq1PpM5FghYLkQ9sDDw5rL/S+tlT+ZoRF5v pCsrxInamAw4+4nzi7RVQm1iXM4666x0fhWJ23j2+bR3bzTQ9fSnP93wzfHW UZwR2eMwxoLOjeUDBwh/EqfxDBsW9m3Bf9qf4hORivVEScplaYKkTPqUqYRt aaLkr24sD6pOTWihTju05SrcM7tg5XxSeFzFc+jztM8NPO1TqUo5UyCemn72 Ssf5aEomxGBLqBemSU/gTNMDSVjP38Ofz9lHrZIBM5N+8+fPL02BdklFvWO7 Hli5Jglj4iily7tDb56XubmDyjAwAWGBlNqD+sW2Im5GcqXUHtVy4Nf7+jNA Ic8gb3zFiugi55mCAYNAF9cjjzzSLbryrMcNPOuRECyBLz2eWUU/WKVQmMt1 rEdSF4VCZqeeu4c/VymPOStkjdGPfLmyaD2rBxTKmg4j43jhohhX+rCUa0+6 rBo6JaRkm2ihozw5CxC9j8vQPdoGe2QbsC8qEi3bNNOZc+TV6zE20rJLVshC YUG8RYgviyz5kgjy8kibtD3Ba4WsS7tB1ugyHIcIQ8AxFc25f6wtCeTiLizT iKU2rMV+XLZqiXgJVgqYLEdGXVESLfot+p/L1Gk+s030hJY4h/AD8CkuiZG0 6fOX+Sb3y+aLUo16EWSrYoAV07qi4SuqZFMRA7K0MN840wbvq9p07m4uBuJN 80WcW/CmGnLtke5KDz3eWA1ypbUypUBe4foYqS0CQcqOaTFFq7KDJ8z0uON6 wIAkKUNkymcrm2glVzb1J/A1wlQPOuggiRqUioZ25C5U3FjX9gXQetA10r/x mDn+EwQhDJDxUxwMmhJtXCYf9wM37eQevIJYzzl8oOzGKnzh/sEzSJqPMXUx IjzB2Kmuu+664k3V8CWEMJHcV5AkPpwUmp9amf3GRi8yN5zN3cXIGW/uDnLw 2cyC4/EAfoxyXyAnzQDdp1fIK6buyV+O0Y1pl2+7+MdE3DdWBJHySwR3nHLK KQlElCwY7zSBqEDDHESo6Ab80iBKBGfuI2VNBzizfPwE+MDc6XZJxfGjeGKM 69daYz9VUVsT5SqutQDWciFPrSaLS+j2hopgYaYkGK9fYOWakantFcFaWHL0 vSgg/RmpfJioWTBdrquuuurykgBo4WOxxw3E4Uw6wQOhitgOm6nTBFSLY7Yq UN2IdU8AMCgAxE+IqFesaVmxcsYD1U25hccVUP3Yk1GRd95553DZ+/75AK0o E/zzQoTSgTOYy8CoChFenblz54aywdMMUVlJIKZE1YPbx0uhhqDKKPBRXTSe zut/yTgz40CopXAQhi4jHyYHUprpsfrUDb3H+SSIKO6jMyIEUZ5H1wtE2tzA DjY/rjvvvHNqNzelQuWHuNUGBOi0sisBSqiUKCpjCdlMN998c+ghpzvaDbYV 0/kfX4DGAx/rrQc+hgCfQx5PgDzFAcGMQJCILqI3dvPv2O85e02Pp0Dp4wpI 5SUwBVWAkgBZImpMsx0KsZQ1lS4InRWqIL7GHH5cSY4K/8eey1KMn+Ij8XPS j0Dexx57TMEJWJMFV342NR4wMvAUMcp2TxuXfV82Eqq/aMG7jy2N673vfW9Z tKzeggIuw7CK4XFmkKbAU70rrle64QJ95JFHhESdmEWEnA1marFQVmhYzWc+ bhBMWgSB8B22dlvGOreWihDy0h1wwAHy2xC/pEByG2PZoJjVsqfyYi6bMwMC UZ5Eko4wcZ166qmJ5zCjZYmUD45JLxIrVE7BX4S+KTyRUB3aiPmAP8niCc8i GYNPZXNSByQSao3jgyAbiWJLAp2ZjDGVWAo5YpF6iaWg74033hihHwvFEvbf f//wWOJ9KAXHZxTB73znO3P818YSQsgUv37ggQdWGAzsWt/MPeI7uN75zndW 3faUgmZCvqHkjDPOKJqLSO7vC0ORpN435BZZv1n+NcGMONqYGFoJV111ldyA oES/njdvXqjqXDbrW0EiGPUZmS7OIqsYJNInVqG8t1133TXydwnj8A9Oc+Zg zzEfdp7gwmSxZeMPH21CCxcpkfyeePKyZQae4kuTTeQ973lPuIheZFKCFg4a NfmY2PGqvrc+oYvPJGpwMs9w9hoMs3zayNtIhmVy2GWbiN3znBuVSxppg1Ym 3Ve/+tWUj4MVWA8aCffhkKRKChVu9/POO0/BZXgmFf+mn2dUSdoHlPE8toSq cpQZTa51GAcxjaSe80eIxhCK1nSQZVbY5AiRZblSjYE/Ijv5TNzqokWL/ASI eP6fULJBxjOU86MUDCKfoAaJeYR5+jYgzOaFICJxh1PYK/nwNpwR3l9ETR2l gU91b8ujiLTk8Foy4le+8pUpVqtszAMx/vjlKDqniUn+K1s/R2xVdO33iS5I jeCVkj+EyJBbRUIRfJZ2Ygk3zp5JG1A9k7uWDNIeX9j27vN6NOXlwLqY85wJ jbpixE3ggxI9cHa4Lx/mLGlscBjQiEkLuEEzggTPJB+HZ11xxRXKgcE7yaPY 8MpSRmXvdOSLaRVTTIVVfCsAEXAcXWA91F/TxIPb8QVVZkacdKSNsXQo94Kw wJ/EI3ZAclEjmVcMgevsDDBgYs/YtNjDeQbxQjybqcBn2vl8wQUXyHdMFp2f MlR6Q1rdYYOQFP0io4l8Gs7EnFosh7zfXALzhCmfKFGXUCRUJmgjwCk5wARt iZr5jq2nIs56FfdU2rpsfCC/IybhrW99a3zeEPvM1AobJ3obWGBl5XAIOwgg UjYhKm1cNmd0LCqoQbWl+dOf/nRZYVSYIMqSthVXXNGQsPbaaxexArL/VZUo ygrs7/E2Y5HJXltWh1AsEmkc73vf+0L76aef/rbBjLTsgT8alYQBskgXLFig hFOYsXBacSnO8VXNhFU8LReHI715IFDMCsuVvGKsPpQRJMKJP/DNTDOWUXVq xLUcRQg4FewDAxs5TuFktRhznZ9AUjZmpix0cdKPBRqRdErmjuraIY+wluy5 FQGLK3G5FB2MdIEiwB+7OEH45EbwnbHty/oMlNSnPEBGRzlX3NFU6B3pjqwG pDJtP1in6UcVzPvvv79sUFpZKCoqx+u3jIrVZnvJNI9KSYTMLxa8crrJ++k3 2SsObY4jDLGHLGMuU/nFTMl0UBHbaUbiMx2JyEhZdUJCVo1D2UZf1DTUmTRc zkR0RhpylTmN+y0zYWhRP2fTJknxbTNnSJ4eUIhFEv7MyViNjEVO6zBjZT7S BjEI8Yd+iy0RxdX+fdPMGCWbILZIaIzWwtaNzE37N7/5zWke5RxfIIhrOX8y 8b7v4ssAzMv77ruvvd42ImvTYbl9eP1qq61mr990002tTSWI272e7TlU5tio 5X24xK/mTOQixul2eB/PucE3+/zcQS1I3J4Yh+yy99m99X38dIE/QLWS6TG7 +X3wF512coMfdIJ3Ud1/7/1uvfXWYLUEjAXh3pzO5o9tpL/5TzTMoAYpqugh SM52FdeHe5wx/pemsx8TE+bPtT6L8tIy9zU/Fv0c0XnnnXcurgvVr2rBIIzA zqd1Wx67+uqrFx8N62c8dRijR/D2fihEnMWkHr1v5eb3YS3DVLrLLrsU13kb 7jF2VIS31vdha/+ot6nOZ/a+CB+1kSZ4H3YfErYPP/zw9D5sQCgl+K4qvc/Z qUocfSBr8yG4TSq9Hh0LDYVziPV6MnqohcKx4gN+PUYeIntybBMxhdhUGdvV X49DjeCHc845J70efxM2WESkAb8eeyChazfddFN6PXOdGj9Yagf8evwjlJ+z x6fXY2ektCDpWwN+PZZQRGUy6/R6Ep1oo9LJgF4vZxumLWqU8Umvh+15MlJK 3hwQ9HBGskcocKLXY8dky8Q/PQUzn/xkfB/5zMffSzbgFKx73HwUf9DrwQht bEW9vF6MBkMVhXTsMm2Xey0YrfwvFY6QgYZPx2bPm2THxPlrQn8aOsOm7eKL L+7L0DkegHaWxnCoP1hTCbTQQ/ZRSkR5rbLi+HJEpwTeww8/3ER06jvgPern 0KmfKecbQqKJp84M7aaqj14rP/h+hsM9Kvv8eZJgOAhhvc6wgR4imcm7Fmzw VrQhcr36DZsUVgqhSZwZbgcbn+SCrggT9MIRygHBOb2IWGJS9BumvDQzU4vI zeBl3JiP9gUBWpqDgqkPcCL+YQJACjg3oyd+NealgqzQFWHXvUoGrbCzNwyF 2nE1ZfSFHmIVqnINjVWXhXU0AFSgGjOso48+2lFRD0rT2muvHaaC6o2o9BbW eUrMGtNsixJtaJiE4XYmWKUzU6qiCfV7KNTfjPXUW9FE3AVRY6bEVkRTPaGJ yEFUe9ThdbIxTYAuSmCwe6HunusPZNVTeMspFnzYJtboMFZOqoHIwDExxuoU 9A1tcElCAzmWReWpetkMmcCumMRf5VUihKoVHBahikFwUaDiqquuinaysYQ1 lBMoTBe5Ut/1rnflJrYJEKi4CKLBtPQQzPyUiORipUgDAQDUJ9/U+7E88ZNw pO/EmBxJmNQFEB/60IeEEEqVgxS74pmRm/SAZTkzMWLstNNOSPIRBmGZcAOm AIcXtWJZfyDE9tncYaclrIKT1KdzLBcl0MxOrohjoRkZqPXMVLRacs6MmClo Dqeyn+xq+LG76gDBCiimxqd2+FeEhQ5Mt5lhL+JeD6Fj+vM68WmGMjDcznbZ M7gvH7Zj5gqLi+/Yp9RP56jxf9T1O+64Q7Ep2Ha8OQktKtFkSniqGNkNqVfL nofTp0hUriebGdsUoFKdW5UTO+3SXZIYZQ7jsA0nWQSp1OSBeoZ57iN5Pbqw Mvj+9ttvz1eDfrJVuNeITUj8R5gl6I1+v/zlL9MGjOJGvz322MNw8LKXvUwz BV2HYEMKKHWaKewffFIcj04R4JNEZlR0Y5dhKPH0t+VDIgE7BPUlFKSBMkOA Iv/nhDVV6r7zzjtVWIDIQBWk14zvxwwxKhnK4ymaRCz5X5JxwDOp4uO/HQkh CPlGBeewlSj0DmjiYHKmnivSjyaOF9MO53kMQzp7IQTTn0ZqCocmjoLrQOsu jlySq1RbSa/TJEG3EN2J3WYnmUiwqjo/OBwYbzoVr9YM9+VDZCe/JY6AQFW4 PA5/SveyTDG64R8nym/bbbfV/CDEEDr0a36wTFHXWArD4V4TikIPpVz59G5i gmiTep6s3MtOinG2jMCGbMtvlEhSji0zJzDNXH311cvMCViwkJ/Ng6LdRNjZ Rw5xYYmNTFxrNxHow3u/8IUv9DQRorC1QhAlSCvBqoWNHy2QsEueibZGnVbE CGIOkX9YtdrhEEGQ7Sip1gvv2MbbMGmySZHYtKGnNzHZhCvxYPqQyJIvc1GZ Xw37bzNFtenEa/oRyInYzthL8g6GR6H3quRmIyN+FC/zVuEeTwNpBYtoDfqR t6GF1G4KwCsYCydedjsFqMkxFO7NlcJFikwiTIsLchN2DbzaR0TuGBMcn+dH EIUeio0tOwXyoy6koQCD67XFtp1JhTTDTG63W09EKilcucQnsPkt0h0ajGZ5 O7Kwj1CerMwWTTwV7x0K9zhFhLLIpMYSqTAf6Ygl2uwXZH2LAshzwo7YZC7P U7wMY70tZk1IEc0Iam9D4ayFEFQVsSor3otoYBupnSKTG3oJXjzxrROcPm98 YwwU2y573gSExMXItrh06dJShFxvvfWKmp84gkguhO7pWGGr0wERMAqcRtZP iBRNUWyH/THs8nqMsEc8HPQYr0Tejs4jgc4Ee1KFCFbKgSuLFi0abiEvJyTx Gr6WL/rcc8+VFIRQiAeCiBoFsYq8MGOT3yVD5luvJB1OEHCXbmmy6sQrNP3W PYA8AoZEjx2y305AQpItGRan5rSS0PhtlB5sV/b6tekvZmPwypEQsy2nOaIJ 8sbDDz8ssiHFiEQ6dg5DNXZySGXIUrinKMxlPDSQsohGyFYigzMoY90mIfJw 2mOx8tx8883iRjmnFSlY405c12vj3ED81moZp3JU8lFF8DPlmlRV7qqyr8Yu Ulrhyj5HcysMBgT6mOqwU/aYCShLbSh0uvFddjRRlgvZgX/ZUzhNKarqs9Ji RREDyTyHPsxl2klG09zXccV8ErTwdGkjq7TQlb3FZBTl6aPaEujfq8zcjoBS VYmHhi9GgSOuEXQozSetkV4Ih7MR6yJl2nWQJmFDGGTJ+3zwwQd3yX4+iYED KR5zrc6XE8FIgnJzbkq8ytmj7CyksYlIK/hIiD/liAkX1HTweDsOiTmEmCfb 7vpOEMnM+I/8xMnEdwZBEKHhkKzfBJiHQ3td9tICSTuMa87hXCBuOQLXAeeQ FWsZJ3pWw/k4i0IqwjbGyRJ+tBY4l4IFH0UkHxsbS6oBs0Gi/Ka+OljiIoPI JTKMjo7azLN+ZZmUDnTGrOWRp5FjlCAIESQkSGM4m5ggs3KCBBxgUuN9sBwR RUiA03kqakTCzmxFxbgSElHaTCgs1nX6iYWDSrIbyb6ZjFqE8cAz7LJZHu9+ 1GL4M2rF5qhV6P2aaRCSn5sYWmzrFPMCt6GHtpOyRGB2N0kKkxChnXdfB4WI CJzdE87hMD0IBqE/EQSRAEkEKxa/QVJBgLW+4sAwZEqAnH322cVeDiKJk62k ALv8lAMp6tzFajtFGkgTufbaa4OVJBrH44sQ2WmjmPKmXlLZi273B7/WRhCG nndQ9ttJ3FZY2UxvTnOeLCUq+dhl6I53pBH9LVy4sB6aa6osGn4oFPM4laNq h+L8kCP0Wpv1bSe1SpOjE8PywWQ7Xjq/JNakzLH1ubyfnqcy5yWxBtOE9RIF sae3sWXxWBwXo3Glk/rVnIol2GF5cMiJQibiAUL14MwlcxaFQYLgy7uAV7NE 8LIPO0nLwCuzcVw1sY0wb9rWXHPNOMHn+Reko/HFRNEoqtDCEQVVYdLzWMbY XpBawiocdcBgjGj6dDuwM2B0veqqq0Iwj3yEyG6YkWIkZAYYVKfzRFE+Wr6U YdC5OJJZcSio0IYOXywLbH6Yo6yhkqMTX7E2DqXVRDug3CSGYbzjHe/wuTIc VHbo4qe6CXKmK1zf9I62kB/sbWy+XpiiL1DCELFCIqWMhHvzsUAloERdImoU 1VFVUygo4JGkKfoGZYM2CiC0A/EgxxCqEEsfSdsUmF6gPLvz6FGF8MUYN0mB JATlsC/ccsstk46U8rz+Kjj7gEfKbCK2nih7pcUieuiIOQmjTA8y6ThDtt3o 46IdCdsL3gZBwG9M09nIgcMDhNbPZRvOZoMFDumOQaLVnuAjADjYHG6ze++9 V/ARZUbO2ETapTal3NIr3u1HrIUeG/hrMAUIByb/9ALoev5I7PVKmf/b3/5W QjLG0g+7oDyz4JdRimvp0qWCn+A9lizW6nbwa8nmtdalkOUWF2UHDgB+Isv0 SEN5CfiRkohdP/bYYx3+ehP8CMmEpYiFsOng42UxtEOCNEYc87AbRichMfdp zSgkIHGz62FvEGOAzXmUQprFRDoJAAkLBMrj+CaZZDKEECjWxNY27A8GqHGh UIzuMZAHg4hvYGN3M12SrtphoFPMh3gTUjEGK5402gcM7Nc1tLJPsOlt5k+h Dc3VL4VM4nlsXcz4PVTbYW72SBb+RJujkADT0PMk2aF4Caki4ZTjRLky+++/ f8KJjjLl2nPPPbf0rqxtzvpMU9n3EcEgvYEpzyONzU+Ck3p4taruc22//fbp mC7kLrUbTnrkHd2jhw2c/EoSUDqgB82vaaVPgB4kfR5J6HMFaWfj6UIBgY2E D+SrpgUFiorFHeEl29IsV5GGHAWEpSD+TLRqOqAAFz6LjstGV3XrZNvEsMLJ n91vnawGRGciuidFSz3Y5wmF0JUiAe0nuOez77S54hLE6ENCzBSJxEIFRkPM c1wGZAlUoExTrQL5fQJUbOPNE8hYWF0IwCD9duZoAKxUrE+TzPwOcGGYo2JJ xYk+BZoNmghRYd3BBe8nQXjhwoU9hb93CQAiBbZqQky6AwDLBTvpDTfc0BaA c/znaBaIiVx/+ctfBqyVAQO2ddDaHVwKr6S43GRwDUD+JpSZXYDr17/+dYl9 A1sVXJOMAYGLe8FTvvEzC1wcd2q27UbgsldxcDq2kCkGtzzH6CXNTxsEJkgs dVwGf4/CQH/VKAQEnC/EsQsuJgNw4RF/PAg5bIkoPSS75PlNRNFNlNAy02BA hcFYg0oqGPDm0UYhwccDDNAB1wBx44KBsD3aOFfv8QADmxIuYHyb3e3iBK/j HaVa1tRBrDfxVD/xs4ddgdlI9t7znve8LrGAhE1GPinxU4+FdnsjCgeOBK7y 85kyVuyD3Yta5AWTalcVC8G8MWCZBUsqQYbdC8m4UvHFzCwhGQs53Ja09O7g gi9iTEPMngwu+rh3GlfIgOFCR2fAtsd0CZdqAxBUOA3CPyI5Xj1DW5cAEFZH KA2208mkxh7tDO12EIIoCCLjst9XNNF2v4NMZqidEUJya7oJmZzdgdupbkif wGUKcpQu8dPdg4vLn0jBfPdEZiMAiOumm24SuBjN1GybrsBlklL5baLds0dw uxeD2EAJu7311luTKIcaTRtut8m2RGAkTJfrvvvumzZRDuZGwg2ip2DA80Ib UQaPB3EUjZoQg7ywEe48PF1dGmCnHAbmDTjnyYJh8eLFwQNHxeGpFw8R8kkY tauH5U8kE/OJen5a/mQVeUQpkVJa/uRlqvn222/X8sfDgJhy5pln9gELQ/4E LLr+l4LoeuEDKAJkgHKZAFKS7fF192IlbI+minNcriaMUwSmcL3iFa+QvZ4i r2oeGxsrm/bVpazDLMNDgPreHRZIQib2ixDgylhoPoJDTi2K9/djcpSAH/cb pxLavOkSfshIWWGSv7qAH8e3QisFP6l7UwQ/KgTRkvfcc0+X8CM18NUDDzxQ BX7BpbB1xhviOcqGrVcEuJ2NdNNKACs4tKxFlfNkCUvgMvYigDkPGGNmXO2R 4HmNRlUg7WU3RKpgYXGZsFdSlqIMI7WPupsHcFCKN5C52m4evMbbci+2oj+Q FvoJf3dmQULTKMbXPTfQiU2TwU+wEkfUzCz4kQlwWV9xxRWFWDe1llBCCEG5 +OKLxaCwNrFqiThZtGjRlpOjhQxLHvyJT3xiEu1hpElO4CLd8u9//3vV3YDV hSyAe6p7bECP888/P8xlMWCySmFMFCoddlRgVDrooIMCBzVUbOEvJJwfBZHL XihUsNXzVKoXT4yKeqBFlr0d4gI3LYmH3gzjHPJj2lPag1X5OWdOuEU1V7Xf MvepeYEmNlmsGpwWJwiBOzqaichg2ohpV+AW2yu/ZQs1CXbwwMPEiT60WZiA R6Vp4kxFLA2l8FwtaLkIqdPTDvhtnaw61Rl+wNbCkapKvVUQXzyoMLYpj5OU L01CpoUnhqTCBixPnkcuoI5eL1chZLkQBYKgiY7PtIOQmL9Ia2K6MpP/+Mc/ PrNrxPICHA2k3gYyKmqHYAxNI2GSCH1C6TlPamJMjiZM6iLwmYVP7UDVFcgx OuTD58wpop85d8j67uCEQX+lK0YwHgPSlB7WCZFzwn12iOQgCYh2VgJp7eQu sfVhdgU9hx12WNAlu8cma5TUQkrlBGxqUSLC6disc7JFSRAGpewmxmYtx2Zi SNQuEXXiPBvLMRq+AFVsfMxTEzhi/s1IwqYuXAs2NKUSl0NoDApv3XrgOhqV DoLqLjKZAk0oftpZWAOtOED119uEU9YGa30ilU/nUBH5zP5B9sf64V5Lm1pk HfEd9CHPJU6iZjxDU77XGeMYLU1M29FfkeE5xRFj6OMnyOJPrYhw0OKyWdru GLLXIEmzFoMi2wWX/aZkBCgit+0FcQSCnt1UJRVUKY4tn9hMe+2kGIZtCPxn +fPwpcOmibmRvC9sbrHFFoYm8mGGVUEt8Gfrr66kJ/BzZKBNwz1Wd2olGsOj H2tZ6aZVS3blz+OkKU20Mzqjk/2e/Xnu3Ln+qhjpmi86mwjF+d4fPylGBY6S LIvRZ/vQSBokBpEeen+7nRWdCGx6TSBhVDl4PGwbfyT1dpCC6KEaEZ2wJzWr XQZIlmZZnNkZexN5O1Q3wgT913rXTm6NyaYisjMibKPRWGYqgjhJP5712YTg HGvKKc6r0aocb1mswcT9JK5uscb8Ik+QKa/ioji5qL7DMQNCGQJemdULKuAx iMLr+3EeqsyT78Hs7s6LkrzTDRq39ucxR3ketapUPrOcalHPFa3gXSOGbo73 x8xKVBwOvyC/DYVCdrXAaITnEql3bMKMD94kPDNjER34pFBwNmGMw2ypwgER hzIYK8pXrsyJ+FU7GUBThHXv4eVNdCuDe8rF6LzVTcM9HrXQuvWhTIjBlN1K 1/VVi5cYXZTvNtpoI+2wyt2lZnkt+zlSGIJlidxdzCfkqNlWlYjmRwKHT9q2 ZMq47LLL/FXDQTsgC572HXbYQYRAaOeREwljWqtwXEocGTFTaZlc3CVkm4Vn 3F95su3242OPPTY8huIW9913n0p1tJMZeCNPpMZCWZlBxZ0p/UA7oSPt8C9r v8rPEHR1cPa8SSLf2bRQGvZ3iPiM+s2/S5YsmYwEWGFoI1vcxHyRAFMnv55I uxAJVMQTk6iKxEACUhQxk9kjtQML9YbmIpw5a12R+glOpKux6h2ciLlYTA0m vrbVVVYsVhY8G4+m4ZxwH80xHr5g0cO4bQJ4hfbo8+GkD1idvXrN7BWThHFQ ZoytaH8Hwu1W4aIqA1uE6fzSYnNiaCYiz6FvYSaxQaiWN/uiBAttxJyEBpOZ aLOKM6weciVzYYejil+SzXDixvlUVhnW6mCCUC4TJre8Qyzc8gy+Q+EJ/CQO BQlWw0DNJeVmjewVk0SYIMtwEG/YYLQfcn4ZYihlO6ImO5ZjNZCXtAm02COO OAItaXNHtKQQfm7Y0gLB3IjFgcqN7ZA6x9twyAFBvjUQE6zJdlElZEaJkHbK j//+97+f7V2Fzw033NBeE0vWUiGc5GQY6paOd+SnnMYwX+uzemfcMtORLz/8 4Q8ntgW7JB6H5NKduUujpGw25sJGY1zPFb6BlB/BOASJYWlzH2Em9YVwPboa QrUWsJ6Qy2ZC5KR4hwM2ST0XV0J0PSFaU5B0IUmcy+7Fw8GXSxu2PpsUKlKF xooJF9PCRuHeXHlQEhl93ASYOHYHakA7dhFRg8KreuxcfyzrnpCvb37zm64I L5d7CoIAhOKtQko6tN2UG8lJuRiuGUzBXboxGWQZwiKNbj3RNtMnyow2UYYL zgCcyAAqmtNOWpFfmZgQkQcdUYNRNU/WDc+jcO4q2Tg6uDgo39yOFM/xx1JP XKt+VgspqF2LjMkfw8TxqeKGxs30KtglFLLLfsx9pWCXIDKHdoQpNGv+j2qB SYn/s3vzL1U2yWDk/7YTpGpLOYm1ZSLm8L7xJdzZF6MytdS2hDHlz8uqxRcX lqS45AHKS/rxBSYjcY/O7NZFhGpCPwQc1QBqNxPgwZPNhC39eZiGNOYnZ+Ob xNkH5XBlTLYoKY9GBWPy9LWB5zxeGgAnK/oMSO/I3VLxAIiVwuKlcB7tMFJK Cmqn9fIpwYTFv1gSVImYsk+j8Lti/Jw7nljPpgDckIA8jVPuSKbPZFNAR6nn U4CFCnvuZgowZfU8GQOwN4k8Im07MZlkvsLFZE0LBH7gQ5jbKNybKznXMhwg VzbK7cvY5SEv+62mANMCBd4u45J2F36BnS+o6KbOZecBllU9dLlwXzmUPiaJ i5JHZPOyVKnpgN7ENoFVAUmdHG8C9UgOhr0Ciy2FlXxYCOoyeovjoXhS1IdD ENqRXWd9exXB8CQJA0i0ItPreiD7ppkwB4h//OMf0+oV2SHxkBs+ANNRkeQf 7E4570DTsj4l5B/2UEwIhuBkQsBFdcwxx4RPQSrWrMF2j5THCpc+2YmyUUlc OawwNu8HHnggbFSUA0KwJcICuwE2SsDFUMzUgu8iDkAyk5NHeLE9GjmkdQGy 8BlWrFvXSJIEx7peeumlk1IWzULP6wdl4VnUDiIyYj0/G8rjN5pEDSYv/TB2 iF8Bvn4bTjCTSpJVGPTVWg92Gh6KTYMfUSltEl2iXUCL4ECfR3gzmrsWNJxk PjZ6mw8Cb1mdrR6sBxgMWYfkRXKiyWRSFtoIj+V8Ds2iTlEy8t8wc1CXuUy6 UJABxwqo2faoatrHyDKiF0zYlHW5e0Cxyt5rs8Rai7sMH/ZanZdZHjiXW0T5 iU3fpHxS5VM+jlajBcfTDFFIzwAG1zgHwIdNm2c7ILmWAUvka1sJud8YQNhi JlaZh5tU5nvuuecNldDZrGPwSnZX4ZLdFnkGYGQ/yqu5lDA1LBuKWW8KvnG5 IJHFa6SM43SUJkVfCGX0sktI7xSt2RdUxUNSVMlOsLANZFtGqEOyVfaMSWJ3 2fWwzG3m8wF1PkcLisyf/vQnmT9gOSi7fJJKwF7MY2wPHgTgL/WREcOWjwwn i7GGLTvDqZRMjgUOb5Dc0c4DCxmRASc6L1jQMBz2MC7bm6pBU8uhSdscPF7D 2Tz77SShlRjQ8vAdTFytkhsV272MWYJSxxLDAHvJgNK8gAdj68jfy1zhPSXB IWmE5CJ0kY6RHFiTkOhIoerH+NFCWoWE7IygdERgh1mGHMD+rhAflb3mgZp0 SGKIKjk4TDqGZOTrCRxV+UO3VWntenfgsMrZU9gzq4ZrMRsQfns9W1LgUIGn 9b2UL9N7n5X9tkRWVlVw+nWOcwAnCJ9FNLTzpemChdry0r0lYCKKkLBGxiCY OF4TDR5ZXwfpwLBo00XsojYCZgoVYjDaTLbdoc6jAnPZTC+73Z3kbdK6YeJb d4YM5ow7BIxPEC0rjzD6Hzre4sWLB8F9ugSgRM5j2SiA6QEAhQpDXZ48DKMn mIjL5GYBoCzhiYoLTw8A+FjRPvOkMfaRyfK0p2ekoBUlC+uHRsp2RdtEOfPT M1K0cSy8xhfSSPG/0TZRjYPpGSmiLaaanPqk4mDInVnUZ6fgPDssHx12CsqI YGUhDHUyAMj2dus4KnNVANA8UbCQK0sAQPgX9eEmyXMTAIh4mL97lQs+UA6t KodTYgOerEpOH0eVFxrqMCodrTxR/aE+jio/t7jDqDodU1x2VJprWF/JC4XN lJhrWCeoRvelL32p00jRhBAhMED3Y6Qll3WFNLALvGsnS5aWNX5GRFYuW5sD 3pfgQAi9nJrbAdUEhiFXclrvzNpYsbchlpTYASYrBjg9ABDyj/eIaOO8sgJt XCaGCQBM5DQR1jFzAGC1ki9N5qqYMCoObYxq5oyUuYKD6xvf+EZT8TT8BIQ7 zpyR4n3BA4HPWyPtdALe9IwU9w0RcpiYNFLkBKSSiSoH9zjSknIBQYscfZlT Wllj0zMqTMkwrFYZipFy2c+01JFsibbvJMWSPYNszmU7SR8Hi3xIChIJ+R02 1k6HZPVRiEG6p6AG0eIdRoVui+CBjWQKxNA+2QEGJLDk+jLGHUyQHUaKGk0k ykTnSQx4pPnJHx1G2unkjwGPFBsqvk6O0+owUkymdCWQbBpGil8duZ5Msg4j xQlJ14nOuhnwSDF6Ii2XoD4BA0zpTvG+uEWxmxIeQ1wou1XZWLweDJw6RCiX 7Qha47ruuutyA+dkZwvFQKPRkAHAXKeUIS7bc845J/gASEkbMDRIqgTYMs/F VMmFBakTTejon58VwjDwc6MWw9dwQMI2+D+pqMcdd1zx+sEOH2fS3Llzm4xF DAsmN9HcUTQIGj3zh1PjFMxCgSPkCT6VDSzQ0N3mGiI6SgqumPfZtXNxhu4T bc/r9zDMEiwvP5hHQ9LhOxOdK6iUG1yVhHsSgGZDK0v3EqPKT8rRqHAhEUbI iXUT7w+1XO6LPpWyy6nEuBDnCIHZe++93StXD7FjRG8iDRBNjWlV6auIOSSt nX766ZPMy5Fg01HAD8YtsGo7xCX9G3l+Vu5mvpiJ+uMnLrOGhGr+T8AjXiaD Nvk8Ox13qwAexVsBwTXXXHNp/yDQOcvkd+gRWAzYQeOneFdWKEav3GNLzDix E2WixdCBtT/krss+LjymOIFHRx55ZIr+aDd0lDD6cZ7yxEMf67Qz93ERoNSy CFC1deQIshNtflJvEwRwT74jqrAKSyRWg5gPSs31cfjMI8KwyIyQZ50dD76A UVnxHSpsQ4+8sglhyhMdkyJ1TjIK16OPPlpWnXuJY4JNmQJZRLasuOKKIV6N mB10uBIRNFhy0NvHz0eJVS2I19BBU2uttZZBSp2zGE6hGS5IsfxADKIyew8K GAslVfDWE/zMlObPQ1AYawmoEFuQZA2nCSrl47MPEEZM6WMlumNlI/TKdq2+ hDWgnSDKcr7lkNMZrJIEQd6F6QRbdIaC2ccMIksjfxtkNugKmZmZaVtssQVL uKfRz28ZKd/Zc0qMFJMyy3lcdI/dsbw1sv2WPDjMFnzSksfGfNRRR/WsyWn0 minEtz344IMlRs+GxOixcm/mc5DtFU5N0hL/Z47zf55uc1NBFjrTxADrafAK hSPfDqbu1RCCoGpacYkpz6LBUMzeLyAgJFGF5P/BZHFbUBOEtrvvvltAYPZB ouDI+t5nfz1sScRb8x1pVLaOi206Q4CIQZooJ/4+24nJZotzlOu73/3ued4V FkHSP9623kccTWq0E0JgrGXbzoPNzT+5eN4PO492EY2K0lK17L3I4HwqMbUh BZw9PzsEiwDKcK9eUW3X0IjlQ7YjhOEPNODj/PrXv15i7v7CD/rL1TQyP9jo et0WXuIrC55I0hY1JsgKIWvo/vvvLxFMizjMSsKPr9Eh4tI2kcO+j4ZGVifq co4cSAoAU+Bu11kZeWQIKghm1okiQ/r4ejgpyUl5CA1cBA4+UQhNH1+P5QZF LUc+IhMqzxTFOsCFcKLnuwxhORMd3dDH1wMpq5gD2/V6nbBAssqAX5+fpqDX dzofoY+vZ18jD5vqfHo90TMEeN90002Den27OIOPexsJtFgMSYYbMPSKEja5 waA//vjjrY2DICc7TryPr8cVsHDhwuC4vz7cY+CH/yULjl6P1++jni3lFYu6 ef0PWx6LendtIyp5cCm9fpPsEchoFF35QLhP+lhSnTzO0h7LPW6mTY/9kL/P nxG+iFk7oVJO46bYyaamdaKAYbtO4W/+Ew1T1iAS465HF7fLSMw92m/8r7iv ubsmmnFzm7+zZ88uol9Y8/f+9t0nWm0qr4MFWKO43keBCVajiGmGqZYA5TMJ 9GWn/WS414LZX93nVHy9CmjZv8Unwj1CpDTjsebXy5zJvP+kz35kv15ej8jE J+3cEqY5zmBW+9dzHNhCPhXjenajzV4zoNdzaMdCb3vi9U+8fqLXS6HCwK0V 8qqZMSRSUWfwkA7zNjQ37CXYSIe4P3PmjpUkWfpR5HoIj+AMHitVM9DjSZRb u+Qw9/A2RFvkSwotRXfKcDAC6wDyn/3sZ/MGA5GOV2BG4NTB/qQ0/BzKw70N Qz0uT6pmz6kIJeVr6HfUUUcV0aRTD+qMp/QFJzFBCjLtYK2jBB6f1DYg8LGB k7qGO0bgo/wJ/CO8jVpK2NYphFl2LmroRDzgK7HnpnIgy6JkOGj3tCHdGjp0 UABg0Mwj9txzT6WeDhAhKNrUPxNCoJUQ8nxvAxleiDc5B8shpJ6yevHW45jA mTi7DWLkRCApEMMPSXu2i0Xr1UhCDBceWR516KGHKtNwgAjCR8PJF0JQXp5i X2/D2IiVP36Kd/R4vO8LFixIFU4If9dvNROwdNGPy8BYrRJ+R/Ks6XARfmC7 StSxx3IUh9diKKcL1uvHHntMYRoZepPLj26EO9NDOdoDxDMbBPVLtNXin9Gp YzUHlmgXXIHkUfDHqSy33XZbnDujOXrDH15gCuEw54a80jjBf7RRm6Jdldt2 uBZJsTXjCGJf3CTc4xE/wpyyr/FS0A/bqWoViRC239pYKH9VT0oEeyL9//73 vyd00qbnquI0DgH6cTKxjkIZIEVoM2Znn3bbbbciGqw1ew/MqES9bwooiErs gRigRSXydE8++eSh8JjRcL6y/kgmx8nghfBTtSdscLjWdtxxx8pUwscvzKm2 MQVMCJGDIgplWHb3qQfvFMVqeCbfEVQ/GUXwYtGfSLEpogjVkcJLilh1AY8O EVw5RcjlJ8BAKMHWxIo3iqSNFqs7Q+WyiSfMoygTbASWhSmSyH1ttS1LXpUa cDcqLBDQ1I4aamP3aaUC5Zv4rV3FBuEeQ3T0jprfQSn9KCMqW9YAKUOYBvE0 Ahv/PNY4WwtNlMG2zTJXP9BN/AWUyW0VFMeIUzK2we+09trVOJ+MBHAYW3ph +W3ia1nViUGWqiywEInlzd/biSwSltsxEEw0VCtsTA0DgV/hw9EwVSHv0Ucf TZWq5fTHrRqiVn1v8K0q7daqNofRVW2QgJlWhQQSC9vVNmF2YrHiJGcJF+XQ 3SwOYQXjOYbqKRCHGDUpMGWwvOaaaxahwJjdVc+QiS5o+4vl0WVkIWpvEZj+ xS9+MZnd2+36yAns7tTa41RhXHGtEjnPOeuss6ZAIqftwAMPTAIigiXLFe/z b3/721YkEypbawFuEEhWeT12MFUWXM0RKMSzsSvOpFXItx3SEG5IGcLub1/Q ETTSTdsIkSa052tnwKg25bMI1W7szgFLRNVwRky+axMT8/Of/zzhmSGhtOZ4 JgmFHb8Vz9TM6QbPBIpQ6HEcz9HMjmMWhU3aJcHqtBHsUPN7Xpy6Ndaiz2hE JKdeJSUVa36neoFen6MR6nL6hdBIADrWn1bmxx5DoRftMezQMMlGBfnjqb56 COfDjoinz6btvw0GG+dlUFJqnrMnBCULEI1jHMp42hb7Out60aJFEr6IKSae iGjMsmKvAEWx0cZnOtGAAN06A8qrARf7ZMADqK2EIteCqSIM8NqC2T0wKcT4 Uo7eqQW9lDb0iLKQx1UxEkTMvBYgq9DGt7//BIWdgAo+7T1IrAyHdUcdSbRt 0/v1NiqJEZEWNcbxdUMb3H+2/xzFiTYuk43LmgLUj8rurTKYClLTQ4e0UmKR MxDYRUS7gSAkclaRBUMKOvjpJcFS8UlMZF5HO8lOKD1suONgDYekIb3HMD5Q Uo82QcaFfIO8QdnqV1aEMPcOyoaQ++L3aYGQ63Of+9xAIazlECa8o+9i/2Z/ O6UklFrORBl5JeukcuRQ7u3LGTdtVl0/PMdk3+dMHbQqqIZGodHt7P2wT1K9 j3QQidudMCCeRUyd19QuVCEQ1Vzv2CvrhyUixzx2Jq/tWcwdLCrQAZFcckKx X3BGyjgqhoOOS1Q8et5nPvOZqtiAqwvjwgZspRUb7aqQu9wYeuw5GGwonhcZ rHUZsNBVSlTYILGDyCX6GstRMkU5bNRD/C/isy4bWqGCvyA++04rQWVOcjqh 65NnNU2IIaSrecUMp1PMGb2J2WURM4FcIyZG+kbrekWe1Nv3mF7gd/LRMyTM tjCshQsXSn0sCzw7jfyDd999t7g1woNz+7R0pgH4HXbYwebo2WefXcQ6/lRD wuMs4FkSOtnzpJNOkkLXCfjjvC0/D1JQ4mkhYHeKoMQiQOaDBHQi1uiHe29H X7lE0KIB0Y4JDWtDNVDrQfLDJagrnsgZFzbnKOXfYcMe8NImKldHKcteTG1r NiL6vvCFL9RZRjABmtZff3284luWBFx5CVMj0uzkbcBEP2PsqSg1Biy4G+a1 rWbk6CV6qOwqBVe38zad57bOOusk/l129Fhm0OG4HnjggQGPXvm1hHlo9Cj1 jIpTxcqOXlsj4fnoWVw25AHpu7v423Q2BeUO7f9bZc0KxjVgtqkIw9To7DkM OpDIRqjJrnQy02DSmZczC4Bd/W1ofDBSDov8yU9+oqL22BOgC93/8Ic/zEwY dvO3yVRKeSl7hfLmSdwRIfDVYAeZ2YCQUg0QtL/qVa9SPhsphDTBtR566KHt eoNhf29G2KE71+c///kBbVW7+9vwUNOGH3Tp0qUqcoIKZiJPMCX++Mc/3r4/ oPXGQ47yNuXqx1MD45wiCNBP8AoKNZ6CgyqigrWl83bsvSoHSYVPTVcTa3eY 2agYDhn0tOHFthV4cEks7OE/VwYv5tqvfOUrm3gzlkW6UojDGGhVLKC7ITBy 3XHHHf3BgrRmpFKdnCCNO8eMxDr2VGrOYL8y8UgcDG5NehCf8oN2JsPWnv5I 4udow2F1++23b+TN2GCpVAktTM/fsSS2+iNrCS0cQQyvIGIiomUsRwstITIC 4zwqzaJFi7QNn3XWWWEfouRKNZSMBOVMcxB5we0XazKWIh7mwaZD/JNcBORj EwLDTy666CKJsFODrrk+blJ3dMQy9TQoVmCPWLkFc+yIfKUzcClqbzMoYq4e MEczuWZ0o2jJUytikGSN7Hy7YKCyORvOx3IUeEqIvRBRZjQ3raUDtkmOJU5j OtAZcz0JeGXMstDjcCZjiogeHcMpvHKk3RB7uMGkuYCNif4gUcZoIVgX3hT6 oIznB951lhLHT2FjdGM+RtrQPjjsarVwj54FJBXyFGd7Py8FHJ40fetbo5dd hlo3eNZY8zoxbdmtsB4mOjNYR5RTfllaSYbh9FzqbfBcTMHaYjtheTuHFrWZ TYFr11131SNxyuMAtKsI/yua05RUbApG5P2wx0ezaD3svHoqFyMrK0X2hw7y SiM3uG5pOOReC7FAwqHslThLFTmrvNCcNnIB64goaKL34sHXOzbyd2Aoa31H jkAdDtaJTnJvI0MRv8inWY4h9hXmGddpp50WaTcczgGE5XGZii5zOHKyNxtJ uY8GF0q+XtHEeRpnh1XVgzGjc8wQl2FdUgTclrIeXNbcJRlJUBU6d3F0UhSV NM9xlJQnGVZuPU8HtJJtQAgpPXRCXlnyMAWUPRACMYZCffVx0cx30Rqqik9L TQU5bVnGKDJchlwZ3bEJYfPisr2urEWvP8rYZPhHENWS6Qf+EUN1omtZ/G/g UGKKpR2ZZvHixTFqsB54DzujEMAxfkPsrUU8BE4kEBfGcMzOS/kvLSeqGvIM LiNzWe9Sf/EPnoGPEldbh3uMURIO5Y9CgqYfKpYCn9qxGE5wxR0Avgj4JwJW 72ej0Ls28neBhNZ3UcaJfvwqP9C4DL1Ya8LKgQceGIc1Fqq6abOQhQjnJ3uK te3po0en0FbDxZqSGINgxc+RjhXsOTW0asf6NSpGQPwA8Z6iqeiy0UYbWT9q dA6HCCFiQOlro5UWlHN9PZKULc/aaTpZvCP6NbHXXXfdkMTAtc022+i5IJR6 ZJyALicXxiLaCINXP1wA/JQeG08DokdyRIdaX3Cgb3/729o7UJ9osquo+Z25 rUW/jT8mF1oRavmNCbWKZumEU5UClYMp5/hkdUEjZOQYLxkL6tGWhZOESWvD SKH7U4NHLQ/Ow0FeQUpbzZ8s3MLUvvOd7xzszcKVK1arl8SRYCBPgES/fBvh hGtiOakxc4iTBOVMqQ+U2cOId+GFF27QG3okkhClyGi5jKtWFEmENXIbaBvH WkxsRIZCfnqetzHlaMO3UFZdF1AYmVu3XVCvKXyozynWJ6YwAYsGysFdJnGm Z02rTUyWKsyAPgGwwag4bSd8qAQKGpTmj9YYVXtI0qOHcrYIUMHoRN2Poawf vhp6rDOTcILZTU+xqyxOBAPrR3NE3mkiGDVHYjJtPeCEiAw0Ffrnxw+VxQOG Ex3Yevvtt/cHD2IeyL2eQZOIxgYpQHQoeFnEYA1FwSF1bNQTyAg51PNUDnhq FFJBKWt1DiX2pKpQli2N0J/RizFRVkSjl62ANxECNHNHn8eIy+yVB5QJ9xfM 6NET0twqYGAMk1lgZo5ePBsNxrWItE3B3oT71/Z59NqyyNNDquMyVqwtC02D FHMuG1qXQFGGwcOiDCjucdsZNFBT42F9YlTlRyXJjph/JMP4KY4AywFtXDfe eOOL/UtiTGmaN2+e20pGwxpXV/7QYfg/2uFaMxpwoipp45OsDJhfJO0RTU3C qaAnIYP2gw8+2BE1FhQR1H3aVckrSxvrEQFa+lgH8P9xLVmypEupjTaqM3KZ ClBWalvDQc3QFf6QzBYsWBD847YnHdcGS/KUomRgU0OgvffeexUSmOfX9QlT /ZdvK2NqtAlTKrMM6FTlO96xmaEp9MNrjHmYoiJLly7NM6D+mVGE2gx6+D8G EZsdy6CIdvopUhRl+De/+U0rigipDcccFM0RvfLiPf7RNiuhDR87l4JqUUQI 68aIemzLQiSVOFboHw2hpkIh/Zmd/HFaXxTtR0I+GGmE9COrk36//e1vq6IR fCGpeoDojESj/vBtkE0pm/EVV1yxDBrH97OVgi2a/ixWvvOEhjQVcTjDQkkp oB/+LdqxpZbFY39k2b4grJlVat0puWQiZElAIBSsHZLY0iRv4KxBQz/ppJPw 75ZNY/z/AkdySmlykkD2BILaTCJc+J58BZIehzhadmciMYboITZlQp1Mxpxk Z1o5DIn+ZBt+7GMfU0JTwhdmVrlh6Cd3OqdR//Wvf62KMxxC8Euu733ve13i jAowSJFcPQim7LpccBxUXPBj8+W4FnRxPNxQiA8aDmjCgc53Bv6QU0HY4kJw I/aR//N2ulJFquw+PqBSi1pUhJkRVUHU85DXksLZ6H8pI4g4JPWr+V2Tgx5D JfuVBXt1py1sEBcM10MPPfSvg8FGWQ17NZ8y8BvESRyKFM3gX3LwaTPivn16 R7mqT0NWl9yruPhQMLEC8X+mJCV7ZsRQo8uIImcIkmJYrEPt92+b3mE+rfch abPigBXUXq5//OMfZTersiNd01/DCaZIRF7vuyKZe+RGqsmBZsaJBpwbNBbu zamac0oCJacrE5mJa0AlTwL2Ij3vrVMK5brZI912U7zA21QiiDHK9ovbStFD ZSvYTlZggsxFXFwEhU4tfdfxn0tiglseeuihAh7fL6YmhqkEYcx8Ar6sL3JV f41GTrtpk1dMA6wj4W0chKZH4NUymFWoldM0RCC5KiCapmY1mMchwJ+tDRGx Av7a6H736WmqjwYPM1REqOE7dhd434knnphKGNPHI6abIh5wRdGjrAdWXIzi FaRIEPzFoTH8cVQKUfpMPmSMvRw88iZo57JxSLLHX6RmE9MqFnHoEXfrO+44 cQYc6BHgjixMavEc4r8jEo82smSFOwp0+jkepSMbJKdQpZUsW8YD56c2KGI7 bSblCW1UfuIrHnn22WcLbXJ98gsThJVgTC1WpSgrbH5qUKl8FiqG+AkUgK0N kbRxorvZEJWvT5gkbQT1Kb6UUij6uV36OZ54til+qBCnsmIqtn4iEblsmaps DHlraCc0G4okJAuxJB4on5VSSsSUI1ouWbJEIXNTg1hF+BC7i9TAWSFCy7e+ 9a0QdGwiWsymGApV+kZCfS+9C67MD03xrWXvxBVisCeHbid0zvN5K7WegEv+ mLuARjCN/ValqTF4awQIugS7GO4UBloRd2xs8FTnq2Vx9ywfDDH2pMdy6ZSV VVdddSjUJarJZx06K/iWkDNWEj00Odla9Zj3v//99WwUOvGyGjZj/J3Xxwvl fQlj5nccs6WYd7zCrQIGGe64jihar3DnPgvgiu2GklTSHH/9cDoKmsvWlFKa mItq5orBpHHE4B1HEYUxNCw+E7lZBXMnOE11Si17MBskiWTGVzTBCOKD7FS5 Xp+7RD1CLviCA9ZHB4M5Vclkg8PsybXffvspRAVNlNAfuww7dn+Wow+TvX8R rmOOOaZQfCyo0rNOOeWUsjn1c7wNIZj4AD4pcJmtWpkhxHyyiygTiLhbzTmV dSYnC5M3x13VB4O5bXxoCBGEd+myDSYy3WFK7hexCoqWrB7k+WLhPNMh76fa Q/nkZQbowQ888EDZjGUdekD9FjY7wo/n+nh5tfZ3lrMt5UlRSSguXIWasQNC pUqR4Kgg18cvCcCwPjfvFTW/o7EoiDovrql+Q96PQk8sO86Iq7lYTexP9ppQ wa9sOuEzfai8SxzLRC/NU610hkFuHccSCrlUCLjxxhtDpdL1vV4pxlEhXJIa mxj9fvazn1Vd9eJBpCkiQHNV4EEhgzBU3CzGT3XJh4Y5APOo/WvD4B6LWNGe twmL47+tByYMr9cFanarhPW46ygtxTHvie6jwUwFa6N+AdSBPbHZ4u0SeyL5 X+PSFodS4VXLEk6nRlzaw98Jtcj20kXoOKmMHKjw5S9/WbmZsHINfpa3EeLi P7Mpz72WKgbAl+eWRPAcRzA2WyGYob/hDW9wIo0uI00tw/81S+C4THa8BEoJ nBqM7uVgEFuCWI6YgjyGKL9c8OpH+RzTwnrrrZfa8qwyRYtgJeK5oNiWogo2 dcLk2tlU/chHPhL6MpTLLrvMM3RnhdA6XCDsEh4AGnRSdnsPTHSBvh6ydHkG UxkjFWW6taNMDVLn+s9VwoN2Q6wGwanFmBOojbqSdyXShtQDuv74xz8uizsZ hBBGlLRuXFGJzaoYF+uVxa7SgUh2MA4l5RJNn0Gg1U+tctlaQwH4vvSlL2kQ qODuGEmprCjGdCXzao+SqFIbh0IgHPDpjVMK6B7+cwwSpFawH19//fUCFFO8 z9uU5IZo7jpNaUArOq56BEpVU5jURKfQbo9XZpQUMoB6SgYUsXdkae4+o4FS VRxMbUYpLVYBxUZ32223CS5WFOO95ZZbSvNpxeqj+zIv+HTRlMKq4kaYyHCp EWr08Y9/PMJaD7xNgZJcc+fOTYRUHpr9pDLAsDxKPVKvYWoBVmkt+Ihixky/ jHvLSIoN0oV1ZeHChYIZRonzneNvdq0E83CK+vKT1i7sDmwkXWUJVxVVjaBw HiISaMdZQO1GrVaEccygubRHKST/8/03mnv5PYW/7dliN+XwUA/p56rsB4QI G0rnGHAxO+TdW2+9VYyEzLVW8bYdwJheoRp9Dz/88LIAi2SEKiC+0PeSSy4Z KKy1FHNDRU0B+upXv1rOg6SbYPVkCdLjyT5SRABGC3ne9ra37VwSUBXJwrCh bMoLxGUHVF9xOMn3DNYEUsEqOQoopRH7CRtNsKpADnzYYC6r0Or0cR2ORdli peqjAmLzOuOMM1JW5oBLY5LwK8jZkJW0KAcgRnes5DnkBIZo+BdddJEsx36i U/hU1gb1rDbDju6C0bCdYNjXJb65yiqrDAo7KsHDgsWSAQ5UdymXRaL/YASu ntqZ9yghpvMGa1LZMjJCAWYrDOZ8iv3q4fmqZsxFfRutP/SqxYsXh54qz1aR F7B/QWCuCixQWBJDMp7XFksKVsIV6KcCxdGXRY18k9o784nJi7QkuwS/SwlA 1jMs2pgO0BRNlZgMAwSmu37bHQYwLFIGI8dA7pqYWgxs7z9H7BS7uOuuuxTv sexKiecWuMAXd9WyGNAZs7AWDNzpAYdOKcjb+Yqk1D/Gbn9jMBoKRooGIBuZ 4p5spCg2+Lewjo5WgVvFZnEsstTPPPPMNDDYkdbD8HThYjgUTaONZBabjLIF kNNCVO1hhx2Wgmh4u+Zq2ZrRcrFmJX2w3D/DKYFWr+BddCfOCZUQJiMPPSuy ih5xs63/HIuXgksWLFggfviDH/wgyK8GexIu8qTqariJhyAomBdnAkahGPU2 EnixdGqEFIzApjzL6YamInatQIapwZE8OcR1yBZDWTMO4FT5W3ysXiw3UbUb ROlcHVyO6Bv0JSQF289w9i49N8o4swNmWOt+XETI78crwx8bsSorEvmoYg5T ib3hdKYACkdWS5UDYm+55Zaw+bZL2y+LOBEJIyB1PemLx4zqIAqIwEON7MAn Hcvx5S9/OUFF9fsPfvCDhSRE5Fv4Ba6tLpHGaTLydVZAmkqXYSYHGlymDz30 kFQBWDlfAbwhq6z0Ghf7rBAUqqLmuPv4gwY6wv1Tn/pUIQMBUda4Tvy4mmAF ev/73390NXSUFWjliEFkJ9j/+OOPL57ubUxpzDV8kgOTvdtnS+m6emKNLA98 xSxr/nDMagbSXzNwBccEQjZxClpe/NYwccxgMKH5hq2bNuoKSrboBKHWFnRj 96Yi/8SQDSevJHFuNoYXDhYixC14AJ+qQiTfFbC0g2j5bNlpPO9+97tfNFiI ttlmm8oQyVWPD8jPtkuMA/mJvasRtvYIESZ0LJO4V6+88soXDxYiTMFVIRIr RH3y3SXJDBhfRKNZDhG2RR0DZjvSsdUgknUN2RIBVxdVo8rusu1mpNKX4RUY DcbDGuqhGKWHJIY/U38NDmyjtSCtCELxD9RdhWzPKYlFydvYOzUvRtpgcdTH RPwPAq0YvEmfKZumUh2UsTDlMDJhOeP1gIp9lLY999xTdutesIqBgD38tttu S0lzBCFw+C4skj+iPKinSsjQEKa8IgaeIBPaaknYpW4nGcDkUpcNdJe4S3oU nJ9rp512ajdNheCs4GxglphvKyJ4A5/30ArMYTeEfXu8bfLhUtu6LJYFHUoN Z7TFwcY2hEfnakn2gY/Q7+1vf3vqh3PQD+hrMoiIaspHIa4UsW380NMY7cdY RDVR4ytf+UpykcMxmVTks9iepaGQgUOJ9iqEEwOAcMi/eOe1XTJkGMM4CkYC A2ASuX0/uBFMqDi+G8LVgvOdGBDcxXmYPBvy1ltvXVxYkWg4+AWZnqc0Kg7t 1BQHgQhlJjunfkQk4b6+6667kibPakXwbSUa7yXELScalaXR9vjDiY5AB9H0 TjQJsDeerxmNv4ihVSgmAzMTDFyNJ+831yeqOcUQMEUt4OE3Bv+8ahSTdVL+ B0SfstRZP/stMWHjo6sl8beVOqgTJ598cpNuhmEZ6oghUkQQ66zp10XNSxoR 9IpQrz85F6GENkaopMIb/CniqgoV5LSDqkSxGOb9+fWANwVswLQ5d+zEaujW ySlCN6+1DbIbjCMKtGKcCD4s/jnGEb0pICGM04d5A8a3d8yRNUMGHBoxl3RP UhE1p2E7aOytGCfZFjMEf/RBqFh33XXtd7a9FdGJprmrtdaJCoqtxC/H+qUv Qp6pD8VLq2FcyQnoZRDVM6CGwEG1XJFo5nVtpqj5HVR6lcMmtDNcpq7QjqGQ 8NBWtKNDkAnBH2oq2w0kFNohF4umFe2MA5Mzf8i69EGWGQollOMp6JDeyFEa 7Yq6xM2h6DS+I0vjpGpojzLSSArDoh1pARuNoeLikpjfwCH2yZ7+yKChj2E+ YRis60RWtVHIqVX/yQvtyXxECIcbywIVCPDVM0gaxBmYUzijQKIUlVsoaNPI pAg2ZbQdPpUt9LOHjwlpB9OycGToLV7WDRWGU8U+eNK99957SSXsj4R5pEJg wr7NOYlF7aY7UaMAxXSXeENcJo9CMH3xi18sGye4B+esAh5jrCTheaLZz3xA xs1nf6wRNI53oKhSYGl3Hw87hfCOZEek4fxu8D5eKRHxXUNbunRpmn4XViQE NnERgigL9t0WQrRu9+hgGGEhhNrQVj1nJzmH2faRsfn0DCcYTB2RDcqYhqqf 55xAUCmSOJeCxA16JcyuDj3cAGVHi5+t85JLLjm5G9qMJtqweWvpo4CySZRl DDld2N2YmkjO2N5tCuV0aRV8YNeIqq104dGm6Se65PqFrHjwHFQrzrgczoYF 7XN9Ah0GewkgmC4luuDJpit0UVdwi5kTbm4qSDXS1MNPpfQxWiNL8fLu6EKg J+WVeQzGOFRglHXcTdXoUg+IR67HjQtdTjjhhEJSUztdgW0ed28rUTDPGIgd iUL76aefnn7LWufdZCINYUB13YCUhJh3H/t94xvfCIsUz6L6IWHSj9+WZeCK 4tIKwW+GwskxWq+oRg7Ziygrg7VBVxV7kdgPexBnCJH9ZFdOAbqiEQpjGJnZ 4XK+weokgYnQGeMbin5dhghD+Au15qimgf6OXzV6V2tKcPEe8Y73sbUf4VDq Vxb1cjUgrtIOJ3v9619/ajWsl7U75pilDan2s5/9rHRDDCYAwaVK+aYDR+tQ PYj3/LFqEQko/Bm/i3XyENI4GMNUgnbILmvg1KnXxBcpNd0e+8pBoiRqbqyd m2++uWkN02aXgc89JtDyR5KH2uTc4Ve9QL6jQ85eJieR8ZnTBgN5746CmGil mDHMXOi2M3C42/twmZ0wXPoy2Tl75PTBDhe7TNXhbputRywYqmOGcvWnP/3p jMGMWEFFXpQifDq85Ih1FgkCcH4oF8X6TTA+czAjLltGZ2sfHRuXbF+kT3Fm p8lgZ03v6KTQYE5WjBR1dqg2/OrpHdoWPjQkQtKj6Uso6Gte85riNYMZWoxZ iuE90AsZ2RhK2aWzuY8Yz7bkYsQZYmfPGcyIYyRRMKMEnkVfSqUSI4IFmTzO sutIx1iDcHQW+iLF2vPSeQ99Hn6MEZwVypgisGL+xNvBNsC/nCkGt7/mmmvS plYOjOE0Z1h09tzzBglBLWRgYmonFkVyGrop/Y4++ujSo9/MiUAUFaydvnx3 6qmnFucPBoQjehjupj5caTz0pbQBGsVrBzPcw52+WB1VasaGXHbEitoh9ETc wpA7oAyGuKOMBIMahj7xJsyoNlXKDlqaDQKhQsYQlAeYZ/I8x9OBBx6Y6tAX WCRNBSqaKzEeWgmKkFwekEE2qUlBFw5yZQ6HGB71ffDBB4+sNE+iH08ntAx0 pLU0UhPz0x4CC/KD10ovygEV+ozDHAsbMysHiRDrE3UY+JdKrnPnzi3LbgY0 SnFEZCzy+mHAOhyAzxTamOYhar0QK0DgJhLN86d3SGWFside/8Trn3j9zH69 XcUnw72mV4cecwb7ekwwfsyCvZ57LRw3MNHr58+fb6+PhWZUDrOL1/+w5bHA fa1D74FPocc63T0W94ixjMA2rvUqTXkqR/5YFGiE5+vCvRZEp5bHhh9dn/1G Q77eh0wCj5492uY3X/va11Kht+u9IByxZe1+E/7ml20onvT/AC7SWs8=\ \>"]] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Linear and Hyperbolic Signal-Response Curves", "Section", CellChangeTimes->{{3.417707316932039*^9, 3.417707327168694*^9}}], Cell["\<\ We start off by considering 2 simple examples of protein dynamics: \ \>", "Text", CellChangeTimes->{{3.417707343954349*^9, 3.417707373384683*^9}}], Cell[CellGroupData[{ Cell["Synthesis and degradation", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707386421654*^9, 3.417707401014314*^9}, 3.417828970962816*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"350", ",", "350"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.41782894183021*^9, 3.417828970963052*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJzt2mFOwkAQQGHgJl7JI3AB72ninUSDhtG2lM4MPDbvJfwpwy6fYq2mL8e3 1+Nht9u9nx4fp8fBzMyw7Z+40TH3+P53JIaaGGpiqImhJoaaGGpiqImhJoaa GGpiqImhJoaaGGpiqImhJoaaGGpiqImhJoaaGGpiqImp2HHqTreipa8cqt+x w/JATNvS1w5tXHt+x+17LL2wFTO50NfRxBZLL23ETN/Oepi7z/WGVeefW3No +77/Fzt/zLbusvSl6Mf8Xe731Fy5aFh68VDtrdMTmPyid8TsJ5ZPY9Z9psb+ zmxtetefE0DpohdLXz2U2Hfm3RQv+vPcmkOb9y1aaeWiecxNv8Py9V4BgP78 SWNSPwDFiQnDII2Yy9nxMBBNDrN0ofSAijAMTQqzfA17//yPJjUx1MTEaY5d TJwW05KYOC2mJTFxWkxLXs5QE0NNDDVPzXFaTEti4rSYlsTEaTEteQVATQw1 MdQ8NcdpMS2JidNiWhITp8W0JIaaGGpiqImJ0xy7mDgtpiUxcVpMS2Li9EAY UmKoiaEmJgyD7DnMt4TDSWHOk2Ngtr+ipwoM5nNWgMFYSi40KZYshkQpOTVz ymIq30u6CgxGVHIFUPmGMnltRk0MNTHUxFATQ00MNTHUxFATQ00MNTHUxFAT Q00MNTHUxFAbH/O8jY0xM3vqPgEy2D4p "], {{0, 0}, {205, 202}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{350, 350}, PlotRange->{{0, 205}, {0, 202}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.41770751213175*^9, 3.417707538040299*^9}, 3.417707592708109*^9, {3.417828947128518*^9, 3.417828970963212*^9}}] }, Open ]], Cell[CellGroupData[{ Cell["Phosphorylation and dephosphorylation", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417707411700467*^9, 3.41770742341689*^9}, 3.417828978729644*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"350", ",", "350"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707600306213*^9}, { 3.417828949502701*^9, 3.417828978729887*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnY1t3DAMhWNv0pU6QhfomF2gAzVIHZuSRUkkH2XegQTSi86n9/SZ1u8F 6I9fv3/+2j8+Pv5+/vz5/NkzMjLeP7bXjbfEWJt9WCRGpEiMSJEYkSIxIgUE 43n4xCDVIE2xRHiM27qP+RRfmrdS1ZrUnhIPjzEnbsC4PuzbN2bULRiy1uhj wugFsjGjHzMbh/R3c84iawnJBjxI+7f9wPh6j/M0YUwN6Zqg2Tg8DifG0JwN F5DqaaK/4jF6urao+ga1ccqGSzru2Thd2naAbLhg1Idojhju2ViI4dnFF2F4 D7hLRirHaDyvbvOGY7Ruvdcs3jTGRPvW+6ypZi1WBBDjSQ4kxoMgWIzHQNAY CBCFREgMuQZs3sA9VBoRMIa6eiGkqcSXpO7PJSMehk4DiGGrf8o8jGFoBG2A TgC8wrVyaKujF+o2BXVtPIZBQl8Zvm2yYWBqPjdi/q8ZCkPdTY3DPVOCSPrX u9fF7Be0M1g4DNXizuLtcsBjX6PaasMwxDrQ2R+1lxbrYBcxsCMBqZB9SYlU I0IiJcCSFCpHlDZ6ztD4K+at+rDRji+ZZGcDY+uyGGnd8fpT+w3GZsqXNGrS doFAgBjqBgFQDBhVTXNDLAIQDMzzbSHRY5yGGAaitfIM93ADJaJWli9m+NLY DM9waQtr8KWhkw/EqS/6OF8auDhC7NKMhMWQgegwPDtGZTP7Sb7UlV+BIbmv ilrrMGbDa7+xOBIjUiRGpEiMSJEYkUKAcVxcN3VTw4GpGGPhAoQa4jGMjZsP agjGWNl7qCEWY+kYQA2RGIuX5tRw4C1/qBZ38esgqeetGXAhbZwIajjo6K+F wZonhnu0HioQxsqhihoiu/jioxBqiBtwI0diRIrEiBSJESliYpAj+9kzfr7U qSVumCzE3zyoMPxnc+n3J8psLPnezx3DH0S4Y9Z3cU8Q8VdylpHKacmr+WbR OODiQU5FkbB53oCmpNxhiCryJY25ISqZ5RiAkzhxZ7jV50uqhmgfS1s6oWsq 8RLCAF878yWlIIHpnQEohtWeK1+yqN6j/SYo/BbqW/2Xz/f2vwBGLdV6wnDp 8MKYa2F0jNn7jOuMHqotoaY26rHyGqkabzW1I2O0mszdd4ylE0brPS4dUac/ jsIxHQ4YzfZ2Jm2EKR6jQ8FhIFZyfAmheL7ZWUJFxOglw48DjdFu6hAj2n6j T9FPh2kTPGyEXq680tH+umjJCRaj05J+I627KDRG51JXOxLG8LnpXQ2DMX78 OxfDYKibAThhgGIYqho5cBi2OSwKhnUmDoOhrnoqPI/hsPnR17RkQ2SkFJlU Rx5+9p1cxR2tXCkSQ+zkJ53ZsBl1rm97ORdONSkMBv0PJI49LflXpj6NUdy7 q9hdi89Jfr1QVddskHt3K+mCSNG74pqN4t5NZWNG8rtHrMfYixcbxiVB9aZW vuouXmwQQNnYC5Z7dx/UZUr9ioXfd3XbTvRUKrJB32Gr6rNBxIsuot+T1/f+ ysaoZfp5o8AoX7UYW93Xrt89MbZmNtoyM9Jb2WY6avlhkL87qLOhxSj6Gh0M 3br4de/2ezaGRv3GlIOg64BbdOXqLmox9GHCOF7OKaR32BQWw2Lkq54YMiNf 9dyLPxuJESkSI1Kswth6fyINkWdLSJdNv5uaM+BLaJNlk+vKqdZROjEmnN4A w3b0MyHPl5AuzjPSopHKe1pdOeA6xtJ5w0WcOjRLSJd3mMV39+6RK9xIkRiR IjEiRWJEisSIFG+K8bLxhhgZGRkZkeMfIsNAgw== "], {{0, 0}, {199, 212}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{350, 350}, PlotRange->{{0, 199}, {0, 212}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{ 3.417707600637174*^9, {3.417828951402071*^9, 3.417828978730047*^9}}], Cell[TextData[{ "In this and following examples, we are interested in looking at how the \ response, ", StyleBox["R", FontWeight->"Bold"], ", depends on the signal ", StyleBox["S", FontWeight->"Bold"], ".\n\n" }], "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417707680450191*^9, 3.417707764040714*^9}, { 3.417828916033189*^9, 3.417828920201723*^9}, 3.417828978730179*^9}] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Signal-Response Curve: Synthesis and Degradation", "Section", CellChangeTimes->{{3.417707316932039*^9, 3.417707327168694*^9}, { 3.417829654706701*^9, 3.417829667038794*^9}}], Cell[CellGroupData[{ Cell["Network Schematic", "Subsection", CellChangeTimes->{{3.417707386421654*^9, 3.417707401014314*^9}, { 3.417708349689343*^9, 3.417708355584109*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708326043492*^9, 3.417708328605731*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJzt2mFOwkAQQGHgJl7JI3AB72ninUSDhtG2lM4MPDbvJfwpwy6fYq2mL8e3 1+Nht9u9nx4fp8fBzMyw7Z+40TH3+P53JIaaGGpiqImhJoaaGGpiqImhJoaa GGpiqImhJoaaGGpiqImhJoaaGGpiqImhJoaaGGpiqImp2HHqTreipa8cqt+x w/JATNvS1w5tXHt+x+17LL2wFTO50NfRxBZLL23ETN/Oepi7z/WGVeefW3No +77/Fzt/zLbusvSl6Mf8Xe731Fy5aFh68VDtrdMTmPyid8TsJ5ZPY9Z9psb+ zmxtetefE0DpohdLXz2U2Hfm3RQv+vPcmkOb9y1aaeWiecxNv8Py9V4BgP78 SWNSPwDFiQnDII2Yy9nxMBBNDrN0ofSAijAMTQqzfA17//yPJjUx1MTEaY5d TJwW05KYOC2mJTFxWkxLXs5QE0NNDDVPzXFaTEti4rSYlsTEaTEteQVATQw1 MdQ8NcdpMS2JidNiWhITp8W0JIaaGGpiqImJ0xy7mDgtpiUxcVpMS2Li9EAY UmKoiaEmJgyD7DnMt4TDSWHOk2Ngtr+ipwoM5nNWgMFYSi40KZYshkQpOTVz ymIq30u6CgxGVHIFUPmGMnltRk0MNTHUxFATQ00MNTHUxFATQ00MNTHUxFAT Q00MNTHUxFAbH/O8jY0xM3vqPgEy2D4p "], {{0, 0}, {205, 202}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 205}, {0, 202}}]], "Output", CellChangeTimes->{{3.41770751213175*^9, 3.417707538040299*^9}, 3.417707592708109*^9, 3.417708329260125*^9}] }, Open ]], Cell[CellGroupData[{ Cell["\<\ Here, we write down the equation using Mass-Action assumption: \ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707680450191*^9, 3.417707764040714*^9}, { 3.417829106155869*^9, 3.417829146593418*^9}, 3.417829205653559*^9}], Cell[BoxData[{ RowBox[{ RowBox[{"react", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "R"}], ",", " ", RowBox[{"k", "[", "0", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "R"}], ",", " ", RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", "S"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{"k", "[", "2", "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"%", "//", "interpret"}], "//", "First"}], "//", "ColumnForm"}], "//", "TraditionalForm"}]}], "Input", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707878456383*^9, 3.417707881561127*^9}, { 3.417707947248625*^9, 3.417708043754384*^9}, {3.417708076035349*^9, 3.417708077588026*^9}, 3.417730813770281*^9, 3.417829016910721*^9, 3.417829205653739*^9}], Cell[BoxData[ FormBox[ InterpretationBox[GridBox[{ { RowBox[{ RowBox[{ SuperscriptBox["R", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{"k", "(", "0", ")"}], "+", RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}]}]}]} }, BaselinePosition->{Baseline, {1, 1}}, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}], ColumnForm[{ Derivative[ 1][$CellContext`R][$CellContext`t] == $CellContext`k[ 0] + $CellContext`S $CellContext`k[1] - $CellContext`k[ 2] $CellContext`R[$CellContext`t]}], Editable->False], TraditionalForm]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707966574011*^9, 3.417707979423359*^9}, { 3.417708026811925*^9, 3.41770804424906*^9}, 3.417730815042518*^9, 3.417829205653889*^9, {3.417841498035748*^9, 3.417841500995823*^9}}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Graphical Analysis and Solution Behavior", "Subsection", CellChangeTimes->{{3.417708265329699*^9, 3.417708282847009*^9}}], Cell[CellGroupData[{ Cell["\<\ For each value of signal S, the steady-state solution for R is found by \ finding the intersections of\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417829270370389*^9, 3.417829431182995*^9}, { 3.417829517331331*^9, 3.417829572088438*^9}}], Cell["Production term: k[0]+S*k[1]", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417829509983484*^9, 3.417829518614725*^9}, 3.417829572089197*^9, {3.417829616468654*^9, 3.417829616933953*^9}}], Cell["Removal term: k[2]*R", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417829525024811*^9, 3.417829530187133*^9}, 3.417829572089525*^9, {3.417829621796695*^9, 3.417829622307873*^9}, 3.417829915661523*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"600", "*", "2"}], ",", "400"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708185938001*^9, 3.417708225066429*^9}, 3.417829585710737*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnVuWtDqOhdP0SGpKPYSz6r0ee/rVmRGAAYPlm6Rt9reqIiMCsGTJG9+I //zrn//87z/Lz8/Pv8PPz//9z8/PQgghhBBCCCGEEEIIIYQQQgghhBQQQrB2 gZBX8ae5QOURoshXb5QdIWpscqvTXfoqangMh7hygDIDlbLrWRjJEIeVqpuC qizeXsQ2MYJIalTdHNSk8f4aNooRUHWIHNcro1ndZzHz8OW+1PK56Hx4OX08 r4WyWQzgkh3inRBOWwWHv+vXp8Rumkuvd+5FXLYh2C4G0Lj+RfRJ9GOf161X S5x1zvNNj5ZQGxvGAKLbnK0jRMh1eHnSWU52iUHmud88ltfHbxLBPVZkHmV3 uKEKe7vEd2waAwgb1p6QciLBhVN/9jzIFCybcJQ5kGhGwOjCEWnoPCu7+1zc 21F2AziuHBs6QsoJh95u/3ZJfE7/OZ6SKJvNYgjJSTSB4LAZkJXdNqE4fpn4 FJedPEhaCezuMInm41LZxZ8eZXec67NV9OcQUwYYhYMwLksq++vxXfTpQXbn BTY2iv5QdnhcdPG4gVC2pJJY1Gar6A9lB8dFGOfFknA467g/Hs6ijC9NLmiz UQyASypw3Anj+NTl/7+Gz/+T2+a3ssubI+1wRQWN1Krj9mbfwUv0ag8POCeH nnf2SDPxzZDxRaBPmgpk18McOcJnw9A4rO03lHL6fFc2WwYhy/3WQGUhh8/X sqk6Qn7Zf7K6fq4pI/1Fj7IJmZPrdnlxAZdvUmVTdYQQQgghhBBCCCGEEEII IYQQQggwbjb+r/+Ivrff/rhyhuDy/eWhtRu/7D/Nin+b5cO3D558IcA8/KxJ m/M/dLP/9sPEnRSOXCHIeJLd4U/6G2M8hIlMQDj9NeRWZH4aux9PitCZRIw2 ovT7Z5Vg+fk9xf3vqex92/DjiRyt2buK7EZb0QlW8NPbIcjOjydy1KYR42U3 tvzIhlpV7BtUSnYhevWAfZTKUfu3EMb3EYPLXyi779vga+fOkStS9DKMb0DN knfZuRKdhyiVM4/s9ML/etn5wp1DeSbq7fTiP/4GomUoy/3czg+UncTSUBtz GHG3XX5QnQOvjrhzKMtcslOpxjxLNxKuD4e5auWg/1Q1ZefRxOJosfC6G+rD rw0ncSpiNtnNojtPjensibf/GoIjV8RQdj5tkKlRmUaE4RaW1OR/mCXKjrSh I7vxT0uqVMTRUgfBRuvpXpU1xtFWhi11uJosEQ3m+OHPolORMTY+ch5QMCHk hsTmmKelzA2HPjl06Q4gV99B6lcgj0l6zmD9pZmxbsO1JtXxhKN/lYp8oOym lx1X49yRet6YsutxqR9C6tZKLLnILpACzPJWgN7TYEQKZdeEWd5KSMhOxfV5 bHQ3Qtk10TsdI0j2duWuv/eKAdq+m9uhtClLQEKUkl1Nay29pCI8GkZqrii8 QF7kZUmFussCEqG07Fz2K16vUOvt+MxYHpAAnWWnOgqfg2FJSe3bDbE3ESDx oezaGZSU9MNhQwzOA0p00oNMFO/tGfUo9DkDYR96Mjf3oAQn9ZQKHxcrYEyg LqWGaFzC3NyCEpuE7MJ39m7kERZacQqn4YiKUTxgIhOufdvfJ+ZWhlKQwunG yNwkAQrMdRqxfg1TBTssejvm5hbkuFB3BZjIDrt9DQQ4LIfZu6knAGhF6JIK 3hRTIAdF+alobIx6O+ouCXBMuGhWgFlvd/Pdy0EOCRfN5NgsqexfMjkHgANy nbzDVkUBw96OubkAHI/EohlsXYZj2tsxN2eQw3HxnMm9xXJutx5gbjaAg5Fw nbm9xba3W5ibA8Cx4CyiAONB5vcQU/MFORTUXQHWg8zswVcBHIk71ym8BA56 u4Wp2UCOA2cRBbiQHVPzBTgMnL0XYL6SuR9naqBl99SUkKs1BB+DzO8ZzA1w DDiLKMFJb7cwNb8gh4C6k+Ont2NqFmjZ5TwHrlp/vMztSs6aGOAAZF3nXTXC UW+3MDXI1ecsQo6v3u71qQGuPWfvJfjq7d6eGuDKcxZRgKcllf3U1+YGuepS 3eHWsCPOBpnfc9+aGuCaF0wjBnsCgMPe7s26Q644ZxEFeJQddvNrAbjectcp PHcrmdH5b0wNcq05e5fjcpD5veCFqQGuNGcRJTjt7eougQe4zmWuv1x4bnu7 ZU9NCK9JEnI9OYuQ43Vut14UVtW9I0nA1eQ0ogTHvd2uuNfoDraWNfl5SU5T eB5kfq97k+5QK1mXn3fkNInnQeb3QsoOgerhTHdPAFCp9kk20fsQTd8uB09j zPXE5XJpVbnXr26PXk/MV+d68ObSw4nArbDO9ffqTsMGZXd76eFE4EbYMJzp 6wgCKnWm7B4uPZyI3AZbphF9PQHA+ZIK53aDzV2oL6vFjeprMdGqcH1k36Q6 ZNk1NKWXJDdCq8KUnQh12V3f1ZfVUMQ7shvhvrd7lfC0ZZd8215YxcVvyO6O /94uLmL6zADLrtH1N2R3x//crnchrgGWXWtTou6GmOlhBzw1eeeBZWc8O8QC aJD5LQY4Na5l12qY04gSkAaZC3hmfMuuWXeN1y/g2S0BrLfrWpI6/mQXbyC0 z82a/YHObhFwsgO+JbqT3d5Dhea4cjhTANRK5l4WZmYcyi7Ef6k7LfAGmQtu ZjzK7s/garbxoYauPs0NYG/XvzgdBE6r1+v0/E+T7vp4tLxBeJC93QKaGYey O0ey6XnmHu6sZeFltwTEud1aIFxmXMru7EH9lT1dtw/EWEB7O0jdIciuGg5n CsjULSSotNM/iHCZmVp21F0Jz3VzLTu4zPiVXVNu1yK6ebMWiJXdEjJV6/Y7 yDEhBMuMV9m13lPXQvp5tBWJlN4SMoNM6YlZM4MCCJUYp7L77t21mudwRk6u t0u+7W+nqWCEzPx56VV2l9eqUkaNZwaUag+67IB053G7fNlaQIg/1BfTG5D0 FpJbyUy+rbIzLHgoiXEru9SfmnKoOzEFg8ymyg+NHUpmppbd0PHMoJLtkPd2 jcvLI0OHorss5oPMlt6uhzPpkmdJ70bBBoK35eVT8VMkhksqd2VPkd6NXHVC 9Kal8sPjNkdijDcQmmYSo8czA0vXJ/t0WPy3vvLjwzbFHdFyu/zzrqGQbv6k i58gvRu5ynzvhLv6KuuuELQZEmP5cNjSOD2j7grIVeX01JCrZzKvNtATA1wD jmcKkO0lte8j6EQMPjGw/qtEHj69O8UV8Sw7+MSgut/6HHWBmeFGNNCqhla8 wBMD633zP7MptQMboSN6clCxA9xyf7FbyVzftRTSyZ2cGeD8rgjrsG4fON5A iE3BJsZq327XXUMxfbzJmgFO74asDmGXnd8NhNgWamLMnlJpl53qeAY1vxsl qttfy82oRgo2L3aPQofDp6pyOJ4RI6lAjx9kKQdq2+UHy5Ch7Fq7O03PwbJ6 ReJ+j9uhdpxCjKrlJqBlpzyeAUrrFUlvF72iyA5Ud8Cy01pSWa0hpfWCaJAZ vdYGVz9IlJ3Y6Nf0/r6qFIPxjKrBrkgGmXFC6mUXP9cZPVr9+/b6zfY+9c35 0ptyD7pLOJAvWOzTtTo39c5YtZHduk7duG/XzSGxRVjhiTyPElJVz1Onoy+7 RLmU3ZlDjqqu7+eL1CKw7iTnnNpwsQ1j2bG3k9Bm3MJ1WN0J3e4hu/Lrmmhz 2QgkX8+YeA6V3R0trw2iQ9mpYuQ6VHp3lHy2GoJQdhKbCWrK6e+byCxQflcm 7u0Qh5nWYWoImF2MgfK7ouWw3RBkQcqLiaO7zSbz1F0BAod7VMk2MOZ5kXYj NrK7eV9Yiu0aLJbusu42D/m3Ymov7YJxYl4hO+sAG5ovJudth7n2t5i6C3th rjvhaQZzu4dP9eVog6U7ibPRAyrVlXMQFFMX5pedeYbNHShB8pBK6QWpMhzE xPSGKDNts5J596G+GBOAOjxRb3e8YJid4VjmBUV2ncoxAUp3SmY8BMS97ow2 EKIdhB6lmAGju8n37S4YJkZi2Ma7HkvV1ksqX0CEJ/WyNSluomGqu6xlu6cK WkXnJcMouhOd1Hw39BMM17ozXfRpvd5Jhv00tXtEPn5OCtLTq+0oYSe8rGFP YSrEj+cAHZ5son95rbDjKBJ+decqTGU4cn0O3YWD7IA3EDYsdZc5bDq3ayuk kzM98NXcrhTs2x3/DLCjiZXwXMquz0Kmqwx77/DkT6lMJTurvHiU3W60ba26 jzed8K07UW93mNVNIjvdvEQNO3Oehexu3pcW4yzD/ppchGglM36dRXa6wltv XQ5lN80zmWccd3gFjywF8fm3RThDXXcuNxDCw6eictxleALdfaWHv10eozzQ 9PmUSifZecywW91J3VorMJfs3PkFO8j02sCd+qXllc/aL97ygrqk0mHbbxBO /VLyyWflf3GVF24gdMdVflde39v5ygu3ywfgKcFftBzyV/MIP3kxfjisybiT ECbwk98N9naLo7x48aMCz667ye8KB5l/eMmLEzeqcO26t8BykPnBh4M+vKjC uedebqwf2NutuMiLzb7dgYZienrVHRf53aDsVjzkBVh2jpdUvjjI7wpXMiPs nbTaQPiIpm0h0zx4WTzcWD9wkBljnhej7XI/pYzFPL8b7O1irPNi/nBYSzEA GbbO74rIjQ5jfyfVzWKcF2DZgWTYh/AEPoQzdXYcVFaEqacmSyrOyhkMhu4u XtZ57aKuMvYaB/WmZLOS2akYkAx70F1edanvyt12UFUx37y0LqhXmla197Hp q5zxOBDeswM3R+eWXZfJbLVhTXOb0S7b5T19Gou57riBkMRKd8Cyo+6KHFAy E1U0ev99e/1me5/65nxpTbmZgg8NMe/T1exNvTPVsW4NDYB5bhtpFeunGyll N6fssFwPpg4LbZ+UU2qDspNVB63txqB5bqk7meW4DVYZsb21VBAaq1xvVtFa VwBdt3NZZPlwTx5oxxGvkl3cXTcU0skbRex6A4nZcPO+xAxaVl4ku7iWDebR MvyLle4kZg+n1E/vqq6zo7fsREXZyG7Z09rS26Fl+Bcj3YnGmA+f5HbQktK3 u/uUki3LIkwhem3SXQdfDLARnqS3e/gkN4OXlcuyZFNRh7+58zRZPYs/1RQD mOE/LHQnW1K5ed/bjlM6+B6tSY02VUwn2UHO7f4w0Z3knJB6W2YGNilL17zM KzsmuMxg5vCFEXac03NhJWeoj50SYt29bUnli4Huno9Sdr90S4tL2YXNdIt5 JrjEnOSkpfkflgKXXa+8eFxSiWy3mEfPsK7wlGyhJ6VPWlxuIHQyzgQX2dKy g56V5rS43S7vBLDrHxR1p2UJuT1ttHYHU8sO1/MdRd0pmZkhKx06vLyBlvJN AXZ9Q6vD4wZCEaN1ZxWmltTuRfTyxhAl3eVX1ii7mMa0+JRda3J/i5iis/vF g+4iH9qcmUV2jTVxKbuP0dBivr2z9INGTXKDzOjEkXaQqEnL9uiVS9ldXmvK mCfDKrqTHqXsNup151F24SC7Vz6TeWZ4GsS9HWW3U3E7DJ9HrzyuZIbUn5py 3p3hUgOPR5Nvq8xMlJRa4eUvAZbd6xNcVvzzYfGZWTtTZWVUWswHmeztVoam omCQ2fqIRsPVDhmjO/sllYbejhkuKDxjOnaiaeV8sqSMqZLxBsJ7f/iTYqDu ciUftu1atlPnk92ItFhuly+Nqpsvw+N0l1/Rjv/WuzFhUkakxfLhsL+/TWV0 csYRw4SXfzosPqvlMYa6C13TPSvAYcL1/IlhS2cCu5Httz+TeaZzWoDDBOz6 I0a6O7Usyu5IX90hhwnX82dGdHgV275KdlDomhXgMAG7nmGI7noXeGNm2qR0 rRtwmHA9z4K7dAbcnvL0SwtymIBdzzJg7azUfqWZiZPSLyvAYQJ2XUD3pbMy 09xASNOpfshhwvVchM3SWYvmSuyg0ud2CBwmYNdl9F07ExpsNDl9UvpkBTlM wK7L6Ki7fEkdNCeyA8/Lw4TruZieS2dZQ6+ftIhpryRymIBdF9Nx7ezxaBcb C3Z7koM5Fg8RLaX088gvnXTHfbuutGbFIEzhTH05Xf3ySqe1M7mxFoNvSUpj RdXDdM5pi+46uIOA3hye90I5UPssKXOVPjDDZWWI7FzeldnovMnvGqBBwY21 Stk1uQJFc5pknV3pBRcjb5Jd00ANOEzArhfTYe2s8BTKLk91dYHDBOx6BY0N WjTGfPgkNPIy2VVnxW2YNsfu5xtOPR/F8Dl8s+yEdmaiMilOw/Tr1te1r4N/ nw7eOnV9HG26KzyHv0AQUlVj9SWVK8nT4j+f95dvXjW3+2P0HD46hz/8EVOT FaeyW8+OLjwcOR19DQ1z+Gy5grxI7LwvKxXBstpAeLQbnXV76J0ZHqU7yq6F 8mhpyy759nJWuD3nOu58GcPm8CH6Xz2vlF15VpzLjr3dlTrhKcWKSZGePsyV lLnk28tZCdklFlnemeClKmlaeX6r7Ap1hyO7zwbC4ayXZrhy7Sx/SpUzZzNv TUpR1Q1ld284LbvY14ZJ/xRUzOHzJbYvqLxadiV3Q0vZ3Vq+H2RGF79ed33n 8H0WMl8tu4KkWG0gLOHBdGol83F15YUU605S5KH4Uo+arpsEafW1wxTJ7qHl JJ5SubYbZrjzHP5wBmVXhTAr6rI7PIByZz31cFhiD6+zb2iUzeEF5zx8ktt5 eVZkutOXXVgi3+51dxmE/n5z+iHmyzNc1OFxA0EJUVLUw3SasT+MM8Pli2ON Xp/gsjn8WE92O8yKIAYGYeomHma4m+7u7n2l/lB2v+SzYh+mavv2rntAGIXM aemjFQFmUn7J6g45TLie90S6dpYtRfCVyJvyiyYke5uz2i4XfJ0pixn+o9Mc /jTjrtwxZ1K+PMfPbLs8/21lYe9DqDtROa2PqVB2K48htNlA6OICE7wh6ctk BS31ihN68hqeAqkfpj6Dmc/VvXyCx83SGWUXcR8MizD1GMwsVN2B/NqZmh86 hiC4zYpRmJoHMwszfCQTTvZ2JtxlBTlMuJ6PILd0puaFjiEU0gEBDhOw62Pw oDsm5UzydggcJlzPR/HQ4XGQaUYqK8hhAnZ9EE+6U/NAxxAQiawAhwnY9WHc LlSxt7PkEhXkMOF6PpB73WmZV7EDxjkrwGECdn0kad1xJdOWU1aQwwTs+lBu 1s60bKvYweMQGeAw4Xo+muQcXs20jiE84qwAhwnY9eGYzeGZlHuODyObutIC rufjuXR47O3s2ZMCHCZg1xXQmcNPtTKuwBoe4DDheq7DQXgjgvVX/rlTZVYe +SYFOUzArqswWnfrjftks7udqQjfmxVsmHA912LwHD4c/oyzMxm/IUIOE7Dr WkST+IE2jgaHGZqFtl93WwPsuh5rggcGi7IrBVx21h5AsOlunIHdEnJ7UgQ6 TMCuaxI+k4kRJUevC2VXAHCYcD1XZpQczmtylJ0Y5DABu67MGDWcV+QoOzGw YWKCSxjU2yUNdbczIahh4o21jIFzu5MdJkUAcJhwPTeAvZ0rgMME7Lo+7O1c gRwmYNf1GbSmcv2KSREAHCZczw0Y09tdZ9jA7UkT4DCpux52NvPRIxrxWcdr 1sOWseavyz2BHCZ91R0/7q/R0cPPqf6eD4kfjNTy9YJWnpHbkyLAYTLo7a6f Tr3d/sB/+uh4J+9QMg3cnjQBDpO65yLZbYcfj6rD3s4VyGFy2dulrzCXHed2 rgAOk4dBZjgK6+zSaeZn2ttp2YFtT5ogh8nfIPMSzPNUzyzYHGS6AjhM5r3d dQMhxMTXOBhkKpnBbU+aIIfJWnaH78693XEfz1x27O1cARwmg93yq/m87FIn 68O5nSuQw+Svt0s8tJI8agB7O08Ah8nDvl3IyO5m91wfDjJdARwm8yWVrxPH RZOU3C4nG8BBpieQw2Td231nc4eVy/Mc7+/76BHNEGz+Q0Xs7VwBHCYnvd3Z lfNvYaKPsQS1oew8ARwm47kdFlzJdAVymJRdRw4VeztfAIfJeJCJBXs7VyCH yXpJRdl8E1xScQVwmFwsqcDA3s4TyGECdl0d9nauAA4TrucGcG7nCuQwAbuu D3s7TwCHCdh1fTjIdAVwmHA9t4CDTE8ghwnYdXXY27kCOEy4nltA2XkCOUzA rqvDlUxXAIcJ2HV9OMh0BXKYcD03gL2dJ4DDBOy6PuztXAEcJmDX9eHczhWw YQqkEK20qNgBBzVM1m0YEK28qNgBh2EiPWF7EsEwkZ6wPYlgmEg3LIfQcFgn i8yCdUuGwjpZZBasWzIU1skihBBCCCGEEEIIIYQQQgghhBBCCNHiv1JhdJY= "], {{0, 0}, {887, 356}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{1200, 400}, PlotRange->{{0, 887}, {0, 356}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{3.417829098646593*^9, 3.417829585710925*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztnQm8blMZ/7fzvuece66xDBkqGkVdQyhDhkRRbqiEK10yU7iSSiERSmRs MKaMSYbMLhJlKBmSoUJliCikVBr2//mu/fzWu/Y+e+/3Pffe+tf/73w++733 Xe/eaz3Ps9Z65vXsqdvuvfMOH9l2712223apd+y17Z4777LdR5d6+x57WVNn rizrHJxlc71hqYz/51mmj8rfoXyMa/6PtR7Dx1B+0003ZZ38gQceUHv2VPXO L4WGkfzWW2/Nv/rVr4Zrxx13zDfeeON8rbXWGqLB+vjHP/4R+3iyvo+x/OCD D4YY+Wc+85nQ/tvf/jb/8pe/nK+xxhqh/a9//Wv2h+rDR4aGbn7DDTfkL3vZ y/KDDjoof+655zqhuZP/8pe/zF/3utflq666avZ6b7vvvvvy1VZbLT/77LOz BbztIx/5SGjj23nJGHP779dff30+NjaWf/3rX88m+ZCXXHJJaOP6xS9+Ee7f 2+8H4T//+c/53//+92zY21ZZZZXc5zpb1ttuu+22fKuttsqff/75CMtf/vKX /MUvfnH+qle9qgaWbn7dddeFfj73uc9x70ilmUcvu+yy8Mh+NUMvk5BhZGQk 32effbIFvY173vnOd4Zv57YMvfLKK+f333//sDeff/75oXmxxRbLzzrrrPDI DuG34fxPf/pTfs4558Tr2WefzUZ9uAcffDC0PfbYY06l0UBV3fvjH/849OXg Z5rV733ve+H3YoSi7cknnwxtNhN+33D+m9/8pjT2BRdckA35/TfeeGPsQ22s YtqYjckJSZZffnlf573Fpj6vvvrqMb91o402yldcccX8zjvvrKFeJ1Lv5JNP 9q46+YILLpjPN998dFXcvL3T4YQTTsg/+clP5rvuumt46K1vfWuY8X333dfg tV/s4Ysuukj7IOLwjW98I9x/1VVXGaS0TcrPOOOM/EUvelF4nosdRt/MV0LW t7/97XGViKzGA0Lb8ccf70OMhEc32WST0P7BD34wdGmbV1C9/vWvz3ffffcS VB/+8IfD7X/84x9rKdtxrP/whz+E7rle+9rXxnX+2c9+1u4p+v/nP/8ZsRbo Dz30ULgX6vQjvVBjjOHh4XzmzJlZsmTnztdee+1w88UXXxwudgp/NtXh+2GH HZYvueSS+RVXXBEBSMk+5Mvk5ptvDrtp0UUXZTrVzKp/xzvekTvznxj1J4fv b3nLWwIkjz/+eIDMWGP4/qEPfSj8/tOf/lTdppTXQt1tt91C2/e//31fI538 V7/6VWjbcsstbSjrrFiiYV+JEMaR8g033FDQTYToGoalB9eJUm8H/2H//fcP P9x1111xn4HWgQcemC+wwAL5HXfcUbfERVTAow0BZExX2LOeWGPZhAldrM/N NtvMByjaDj/88NC+yCKLZG0U9jFLz77kJS/J119//fyZZ56J258JnGuuufJ1 11033ofsOO200/qS9aijjrJvv/vd7+zJ4447LrR9+9vfjvtjD7//6KOPDr8Z N3XcJqUkDPcyJlyCtm9961tVkfX73/8+kkXkW3bZZR3kYqKYJCfhIBS0JRon zwR2vt1224mKdUScz9uGhobyN7zhDf6tePyRRx4JPHSPPfYAkm+No1lPcHG9 +c1v7uTrrbeeNb/85S8PTeeee264hb/dByAbHOBvf/tb3AFLLbUUQqlKtm23 3XYc2fqtutVXXx3NCfHaSrNLL700KDwTpJm61H6xyc7aCAajMiwLUo8EibP3 3nuHC5J/4QtfgIuER3fzR5G67373u0W8AuDRSDsWBEpByj20HVI9ZWKE67IR 8qlTpwaITe3T7kxpN+iOndfb2IXsTiNeXOr2DPMq4o2nXZnvSdXRavrUpz5V 3LyrI8TahyvwI3vA+G1WJZl26ZwimegAz//mN7+Z77nnnvbN9FD7RIGZKL3m cdqgs6Bn0P7d735XJGO2P/rRjzaTrLfcFl988fxnP/uZBIAQXnjhhZG24ZGd fCmiYqBqLLPMMuGeadOmwaekSfy7aCc9FSluNIqXEJwI3cYcFdOJAypcYqO3 3367wGzfq+X1NsnbjPzibMXN2/Ex5AbJeeedF36FM3Q6HQZ1oowXDRCO+xpE Qx3tUqunjsf961//4h4kVS2PG5R+w/6JxKM/Llgx0j4gZvcbUXL/y1KCfuIT nwjjzzJBP+Rd3nvvvfk888wTfpx//vnzlVZaCU1Rz9UpK1iTrPRDDz0UC07o sqRMqibKSjeSFKvO9FA1g/Gpp55aFbhoqjSZNh57ePrpp8NeceKm7PL9739/ m/zoOoZI9y9+8YtRgCJLTERN9psQhF/60peCmmtYDsYRC66A2c2IP/rRjxKa dqMGjj57zDHHyGJIaSmiyWtgVkKk7913352vueaaZQ177khLU3HDVjvppJOC gwDpj97Ib0svvTSzF7VtnBCYXtg73A/U/F155ZXhfiB9+OGHNTKyUAyplarD UeFeYYUVAp4ocqLXRDRrSZhtttmmLGE+5D+gE7LaTGlxTl1PyVtuuQVi5wst tJChb3vPQLXOQpsrSlUV2qhht9oNhg/mFMwffsIjUFEG6M9//vPQxupGeLKx 99lnn9B2zz33iAfU7fczzzwztNleibxi+vTpYRHioJp3IJL1JMxrXvMatqxm AZ0Ra4qfcADZHixTjxv40SyJSL3HHnsszDRtkgdQjzYueYN+8pOfBBtLZLvz zjulLUVeyFqlzXhC9CwhT9SXPSO2NZgRXbShgOWJKgN5Vl111YBfG3m4Jk+e 3IWluY8LjYcLfxZ/21Uow51ahPjr0Jr4tlwL2PRXBzaLB+al/tAx/S/eN/fc c9c6qcLfp3xe2eNILfY3V8+C6YbvLCv3u3QSmPjJ8IxOshR2bb6XvvSl+Xve 8578qaeeirNoLCDwP3ZNGFRjwX3pFH7zyle+UisYp+oSSywRvn27isOn/dkP fOAD+aabbhrmzbTmIcS2PdvtdkPziSeeGHdEup/bYGfcN77xjfDrKCBwU9Af l019MUw3KKMogzSbeSgqsSYRd9tvv33JOxn+9nfqIxMx3HWxebWKzZAPbRg4 AhVjhjZcvNpkuEZx0uWJoEeLTvu1DRYVDUhAG9/GARb+/i971dPWYx1ot0fD tz3DZze4SLQVbYkOJ7eyIvK8Z8Xh7fZbs328DR7sf8XgzxZDys3+zDPPhKWB B4stiHTnX5Y1PBye/uFw76Qo2nFd4P3ib8qUKWFdRKuwEG/Gd8M32S541mg/ 9tiAazDNJk0KoiD7qD+H/ergFqD+KQW1WBagd9ZZZ8XdL0H9wx/+0MEsFCf6 +s53vhN3JNxqgw02QMWIOpzvuATOYPUEm5tve00Arre97W0s8wgXy5p+qnCJ Ees+GC1qT0Glos128ji4UDTwz6Jv1sH1FW87/fTTAye2K3uvt6Hz0sY3jY5+ rfu64bPwuWncqXwO+Q9upIUfthyPO7pzugx33nnnsCTYvrt5G6u6DnfmwKRK 3ObgyXzuuuuuEU+jYcTzeKcUshRli6WIIiblC9ayqT8Hq5Ka9W5fwnA77SYu YFWbjTPVu4cUdIcLkiWLwsR3M0ZFgSN9FFRCOKBRITIfer388suxbCIFUjGc UkCKWxsF0G5EgePC51jwZTIuY/F/rB3+pU/ANtmbbdJIidGINc9wEWdC5qHF TPUxUPPZuSjk6Ri4+eedd94ww1uUyfHoo4+GbqvkoO25554bmByjDiY8H43b xGtYgIhWlCTbXLWM4zhvM4M5Hx0dRQbEhYmJtN9++4FqtnENadSGpoAXkW8i odReE5kR3h122CE8+x8gA99Z64B/wQUXBO2C5wjXtZFhww03zNdZZ53S/pSl eO2117aSASMHlHF5vv8/jXJx37ve9S48qcYGbUd+rAXPj3/84xPGc5MESMTY D37wg2yzBE9UHnwXFTzZKJ/+9KfH4Yn5bprRhPGE3YMn3z7egiLPzRqKw0Hv hN2jdzKtBB029Z7M4gptaABmQtUwePwYF110UcSC0ADbPxVuYCZspe2iWyC0 YBf2fyHMmqoijPk7JxAWUnAyUymDDDbERIdXvOIVgZcj5vkZTlBCeCw4FmEc SE3iIHinQATFB43F9OOoEAE18X5WH/fgh8Hfjd2y9957S9HA2sJGZrRis46E 0aEhFyo8CBgBjp8N3CXv0a3wU6Ppb+I94HcD+qOOOoo17TgfFf4ZDV5fPCT4 BnD0ARTfzz///Gx3BxgvFW2EqM8+++zw/912220swRFAtt5662I1uM7uf67O doKyAHkN10zIYmlPFNn3eRvgyHQSsqb4BQb5la98hSnx/XuMP4GWjMplwi0K WPag1DAZpUgc2lAZO/555JFHRoxm+H3oCiyAdOmafZm/+tWvdjoUUOFiwysN 4Uzt3ciX5CmnnKIuhWBJ6Gg4aYIpwtJ0arhy7DNfOoGJmwr3ftHGDNGGATjV AcKgxitDGocA0gzIGMkTnpYC9C5vwz1KH6RytEjLKpBjQcNAp19kkUWChoIL k3/xopFQQYcClHwQNBRYjPvJHdBJQUVgD/AsXismjv+zM00338iHQ2ahusMX +UNr4LaFFlqI5J7gEnZYD/JR0c9QEHTdcsstBR6nhhtGA8OAcWCdyVPOd/ra 2NeC7vG8iWK+R0ITUwLkXOiQ1ha46hD/C0MaLXfaaScxJ/Gvz/rwGNs868Zh fsABBwQedeuttxZLeyhkpBROCi2ujztcyDbcUlzPPvus9HrEh5rNCPyiN2NU qVme0B1TaDohRwA5mq5gdBggLKYgQFT4uEkVE0TKQYIc2PJ2ZYv4uKig3sYM Luy3ohfRZCIrW9hvhUPrVrvUAxDLBJg5c6buVg9cpngu3ATDUPhvB3MgArxQ BQqsGvULX9Vwv/71rw/36ZaPAiLhaWah0sbfDuPpqJG0odDM1TapHx3RWOQb aKVCJ4DinohaDPr10I09cBkwCzfBIIDZxVU6qo83velNTXT8gqOOMcuC4l9y 3QyS8H/MoEMOOST0WyRSZQd67zAydkWeiBzoCdP6/5yeRcoWjDJdbNdccw0e y/AtdLxdmaDvfe97o2RICQrj7rV1g3qBxPBLEKMSeFNWfHbC/PTQo60b46Hu DVvYbwVamkyTyhb2W1FiSiRu6aEbe+AyYBZugkEAT548OQK80IBQGIk/76SB gXP7E088EY0IhAWqciTxh2aFxD0/GYD+w8G1oeOKONTvQyEgqy7Pe7FtnkPo 53kvPrreeuuF9uWXXz57nbfh9UDl45sUjFQ9UxuSg/swjNSGtpm5d1ptSp8h H3Rpx4ZcCEL93Pu1r31t2qwtOHwXWBt+hVyzP/I/+43gbM3kYB2o6zbCkHhK O25+IULSKL5T4z2xDSUGrz1TIQLiIOVZUoiFsAiDhmoEea03o+f4zicfRM3I fxJusNuM602QPD0GN4SzTsuaiI3WyVP+cIVLTJRKyy23XGgnQCGKkBbM7kmp hEfZkzzHUQntu0olYjqmdVSphKH14IMPqhkdxdkeczPLVDJ0oD+jEDPkIbxv RxxxxNOzRyZ5yLFY3/e+98ULo5v77F8jh7XYczATBB3flvY2zFnuS9vIcc8K 90lsgwC0rbXWWrEN1Ze2FVZYwdu6cRdDRzNSKwRDYcY5MWXKlBLB0LMqBBuN chOTmJiviIZrcjYXl3RJGTVZuNk+5vKFDPk8+byqIeNNha/DX55//vmguuKv NpYuDbk34ekf+9hkg/aK4rr0+kQ9OqlEdQ05SlS+M5lbbLFFdPNpkhAFnhcb 2Dl6/nPJisaU33777QHfJ+gg33M4PNgZM2bMCEoj3+2uBK+yPjPkJEZnwooT 8Lg5nuyPVFVNYHqlJggpfPUuP0IE2fPMYVoRKZgZ5nqZ1x/svRIy3WWXXUJU fJ4mTJSUiALOzUhowDn++ONx7f2uDZlJpJSH2eBuOBGBTf6PYmIGS+HK6Z1K 8Wh1CI1oB3I7Wv+ffCRkGusVOhnkjtOxTfArqin+xgXvJK3h8XrgZUgYxQKr RMdjNPIxrU2+GWwMnrCn43yTuinlBgly4YUXZs/6KMQA8eXBBa+77rp+gI94 l6jeAo41QEj3sXrAZUGyBwg4cxkDlOtFavC0adMynd4Qf+eC4jiG/pisHlw4 5dXTF2CscCYJG0F6WwPAJzhkipqgCylphC5IGvIuAt7PJJuVNoY3KPtBNuZd MoHa/2TJGNvNHmmHDIciTYwuBMkDVzIaHhHSPcR48VXiyEUfPuecc/pBNjmB bPPNNw9d4rMznpg93A4ZqT2i2ah3g4WCo4l2Vi0xhj8kNKMdvdN4bD/I5vY5 BSElOfAow9pK/k07cLh1aTrllFM8MDwSGJE8XUw4PZlyKnaIzIDBoNLddttt /eCbx1FGFd5zzz0jECZ8sz7ASXXaeeedY3YoHjJlR3IBha0sCSA8OEgRhLQx o37AzevAIQuVx8y1yiqrZL9uB46jIDSRojzZgWMrkA6FBOI33HimcIj3ambJ 2LL/9wNuAQcOZiIAPvaxjwU/+gODUY6TFPM6cORVE0OjHcUPG8YWyG+9J7gB XHFAJvIiBy7JLAy+NkJd97cDp6jYDTfckM3v3ehYIxf8yCiZPZrMKQH0AedU kDFBOKZRAejW/t8PMoIe2qrzO9kgE90oxRevgzEWsSN2AwgB4AC7YUEHjgQJ JZfDTzjS9Yt24CRf0BuEI7oFEo92xBlZjWJH7BSJvgEmdCHvEjOU6AGPoUOQ UvDzdsh0vmHjjTfOXuzdYHHL1wCnO/LII7OHvBt2G1EwU/0IM/SDbBHvEomA sp0V1lTwpN/bDhkbkqaVV165hKBCTkgAutFeZ4cyBAqoDdEPspd4lxjZOj3D hc5yTztkhEJowhm9sHdDjAnjWbfjW/+Vd4OM50QBuXaPP/54P8gW9S7JzJXB xkUCzd3tkKHT0cSSFOnRW+meJEHoQ2TswYRmEtSmNvaDbDHvEo0bc5tHsYVP O+207GftkImrkRMpBHVOC87GPiTDVLucvYnAZocMANkS3iUHWukS5wuxOUIH P22HTIEk+7eEoG6FhZM880vvBpaGHYZ+bAxmMMhGAo82XT52i3ZuG+jOduBk VeGAXSzpCT0/7ck2i1iQfmafnHTSSf3ge5n3CgCsNmnWWIwPP/zw7e3wEbCl yYzo7KVOPGIBwKRe0ADv825gH8gCbNyzzz67H3BLepdIJ7EPjmxztuK2dsgI QEkevMy7IYLLqS3aES333HNP5EKwXCwpRK0Zbf0gW8q7TI8TkH7Nqc+ftEMm dR+v0pJp/66Uhtu00dkHeFwHlASvcLA4GMI8ZK4H2kLNbm0HS2dp7d9Id7pB bXG9imzlCBn7gC1GBrN10w+yV3qXrIC99torbnxTobMft0OGWqapFN3hXGiy up3fxILE1ZBdZpL2g+zV3iUObKKnvt+CQ/eWdsjE1UjKfqVvJBaYuiH9i+C5 0Uobne0JWTnlYLToB5x83KwNl9NBMJAGI08SCV+02WVtfHaCdqE+rmlHguFo smUWacHBTd1KLi20uKNCXsSdYTIYBpPCxKM1qFuSeiAG9DE1quuP4gDU0YI+ gCvRwv51wEdCLgtyQ7ot/z/iiCPExlAqEN8s3Ntvv70f7Et7r6xAotICgi7k kc+KJEf8ANx8dT3MX3XC4hLDQyj9ivPpmmNOS7DwaEeL2X///SOXw7GhwyoD 8AF5oVGk6daomo35ffBfOT1n1kOrnFyQcoUy0zBoMRrmNQ45blISlDLXZc0E jVwQ4xbHEGe0bJ845Ef5CMmJtzgC7kHacB0G11Lgzlm5YIKczyhXOjLHpQot hG06/lxatWWodmD7VA0Qnenza7IDhRfYfyruz4rjf+q3UwdoevP4ag/DdcBH 3/Q4AIun9Exsq0MuwSFFruaHIZq6vVuGq/g3z0LxbTwlhlqQG/YNVf3NEaub MPlnx9Gj24pTHWSlORr3Q3XwFL/xk9ct4WD/H26Cs7/44KZlnDJs9DSiS3ai gfojHxTmq597fEC7Se5AlqwYKjno1XUnP7au008/3dfdaNQDdGm/b7TRRkUk wz5x0Venm2yw9Lkll1wyxj+SQ1nZ3MmG8ozxuPOdiSawjgRHTNqvh0YEShr2 E3qkDqePmBCI6En70uUuf3wDET3EdnVLKRQQwRVuOMdKP/gacE9w0ak2l1Lk dRGrGG5HtG4eh1oQVXfpPCZI1uEoukmgplOoXYZgraLJDhCaanviiSeq+22w ufVERBTC5rntllBeb731hG3dtNquE1RpEsFXvT/tPgrFLOsUQFYSWlfwnrCN th7YcmCD384777wXtt4LW++FrTdrW4/EY27lnNsbnAKkDwoothnHrm/2kRGK 5NBiBZnRXtl6uPDIN+b4tkbFvKcN54NWAC5ivy9cnHrT2rz22mtLv+E14684 PEDPnVgfJl0G5FGmz2GLSJMkTTX5LdUkMesLcIuuMTCqMwRd067dNSBomP3q KrrwwgtLj8C+hOFdd91V+o0kYf5uvPHGiCHp59Xdh33Wo659avcxKaUfXKli GRbf4s3DQjhevUp5jYh2vRcSN6pkr0NU3aVTmSBZh6PoRoSxOovafZiMVTRh MkJTbdi3ld032NziFeTPjKTmue2WUD7//POFbd20Nuy+Lbw/vGmEG0n+mo9P HV+XDDvzzDOzKU4aXMr0SzvnAi6//PLsJgcJ0hCOwvFlkrOfUaq6lewj8TOZ 0LjenIJNRuk0f1yGJg/Ox6fAJ4GNH7bZZpuiTUCQJeBUzn7oncuLgTw20vaD PXCpSf4DIXP9MACwxLE50TIcPjsh54HbSFwYoU0IeKZdcGYt7/QnuYo5zdy0 fuSRRyIO7DYcP6Sp21z0w2GKD8MOgEnbZd/47MZqR1z333//AFipVyXL4dTz UjvZyt6GX4BH7d9sRUeICDDBKdoZFYRuqEwKsQpbhP0QWilZo7jjcfgRaSLB 4qo5g4HC3kzJG304khxJY6IdJZI40PU+HEyR47YU73rggQf6YbCKd8lJXbrD p8YhAxNp2ckOAt9VimKxOYOVquxR1FZE5JyJ8h1YiLfffnv2fR+Oja6yLAN4 n97kXVJWVFBCKDIuTnIQaINIs4EVUOIHFVZS6HfffXdvG46VF2knaDt16tTs Oh8OK50CeOg1Dz744GBYFdkaqjvFhRfbCHTinEOM25ZYYomImM6nosxoxcAs lWPKtdRSS2Xf8+H4DahgPGZf9ENsNe+S4kryLZCdiNP3axPHijpApHsWnea5 ipjBvZDNRAzhugxBiZIVK9O35pprZqv60/hpffuF+8mfkIcV7kdgnViTcch+ WK7uXRJpJF2Obtddd10gj3rpAFhu5bf6wST/xudYKH9GjEmHGAiuCwOcvo8/ /ni2gj+hMpEEijUBqhbFhYCmMIs4sVgjfRrL7IftGt6lqrlxoUGTRyXv7sDY dqNeD5OItbc6MTbEgUSpZhw+JEpBOyEVTuVLwKm6C9x0NV/2WDJKuhHitp3E v2E9uI5ZHWaH9cP7LQ4FIlNxM1KqzFSMhzaVamW4Z4u3463ETi4zKcIpB6cc E0u0T/oZsk5J2ZtssolQRm2TsF/dUUZ1BEAlMYO+2Y9Xek/wLHgSKeXXXHNN P5TXdJQ5W0Z6Ej0S0CeBSKc60RIHQrmwLDlMyPl8WYN8d00y6sWotX6+Is4v 2d90t9lmm8WZwAqCJdCOcOYQ5xWVRU3M7Mknn+yH6dr+mAIhXBtssEF66rrP et7Vb0WTVa/LJY+rlNNaKQhejCf8cJnfrFC+ScPMwdYBfErhklRAQsF84bNI 9lYXyzaht44vD/wDygxC6tKZMb6jB0dTDmYFu7F01/b5YJ16bcFwcebwUu8G wQFpeM4WaQUxjmxkqeKddaSYtCP2Vh8a1qAjOVxmb2QTwGpbv5WFjr+ksNL4 7IgVhzu0Gkmn5lFToJy2RbqPBA3XGWeckV3iw6EPKGje03Kq2JOLNuJ1p6TY 8G3Y29KTlY0UWdfBobAOx3sEjrHr6NYYgCLb+K1oqX7uIBv24YjX+zH2SBFh brj4pIwE5xappEQkEaXEZc1C+K6PiOGOYkCWnym6NUSBZNRakgZDWo97LguV uY4Ab3MCwFVQCghKIpV32WWXWMBhAAJM91t1Qts0KhNE6P9FmRiWAN3LsoUv PvTQQ5EgFLujHX1bIEEQDYE+TtLeRT48SQ+okaRxX3TRRTXUoIxRnuhzHADo S431fWg5NL2UKX6w7LDw22godkEbF/lJxdCtLF3UgRLIHISg4qbIHjkMkbFs KnQLylqJOsrsNPs+W89B5D7JNMw4UnEu9OGlkTVvoFmiztv9EYiv9EYu7FhT xnUokFP/ZPKZaRbdgL58wh2L1hPpg/44OcT0XgSOi7aESNEfhv5IblWeiA5V wceWfbsTCheP8sT12/kOguQeOQVm4A9IKOwdOHkjod7hj3CQnrkUm8c+tiVz mI+O/0d5nwZ5w+JJ6eLvr6ili9pSkSpPA0dvpe+9w+kCr9HoAEiK3nccBDQf nEm0X3755X3pUpRApCdkpqG9YhNpNvTRSZPWYSEMEUoR6+QWXmk/xN7Eb1Ki 0D2VESZKFA7b0B1nyQSWHOLoH+Tvo6Z/20GAA2MtkPhmE1FDFCJWmDE6PKEy 3FwsGiqyrtBEmXf6QxwJVY4d7I1009PbqYDQxSrot2WA0T2xccvIsYI6KBCO OOKIOAzLAAP03MqWKTtWRAU0CxZV76ULI0GkcLRE0Ri+myJa8gymhHiXQ0Fp SRwmPIODyhZx9s16Qkz34WGwGPOmjNYyWP7wucAPUgar0jPsDxGBPQDY8rcQ CRIRcD2wmTGve/4xVbhSXnIvN6zQ6IgfwapN+stYUWlf0qSMrU5pookKluDv 0KkeLhyZp9XTRDoJKZ7O/zIdSxQ9WNJ40cDDdrDIIVuZedfIadCJ/+MBODtZ EyDGsj3llFMq5EBt51fKZw95PRsdES0UpaIXjYrSa0bNG5po8W6HCPet3KUg eccdd2Rfr6eFKjLApSC1LpWEw4o44YQT5AHRQTGWw7t9FYOzsoCx7ojn2qSe 6QNircFQsLgfffRRJ8Hm3iFvnPHlH0UiNqoKBqWF7UUa0+gbSbCxA4VZTB/c j5VKOVPTT06pp4Jy34jjcqdOHXLiYWP/DQMpVYTJfROOqCeyLHtqxRb+JHuC yJ4uIkuq10VmJEc0SFBvRGpT74gCUxqe/EczXN0H25gfR9zIJyfSN61FqSVD up18IlxouWd41+x3MC/HNvU2Gaxskvj49vp+GLCt5Np1bbcdgxB9CCkFCB2E FT+bBaNz8BCQVcmUkZIIozNuLnYo2pPv2kuJaLTf3+NwqoaQ0kFt/7pfuIGb dIPGpbpFJibkhGCB0wRTdSZWiGRZOqase3WxIiFNXWNrUMruG94/rISO8BlZ D46JfCLyYcCY9PKopIRJuLC3bAc2stLNHIp0HbDnOIT2tXrkp/tQUJ0cUy4d MjEJJSKwNwgq54l41aF1CPM+7wb3JF0oBYVaaGbSiXchKpDmVOg3IeMkKP4p Kp9ju3s1uIATyxqpa0t3CF02Kypu+ItLmnfc+50UqL/i71tvvXXwj361nhSF yjEaOCZ530rI49wNwqz3lrCi9hgcKqUHScxirRqeIwIcNNcwxPpP9eHxBRB4 wUN83333OTG29F/xoUAIimCZDJeeA8xCXm06qdHKgjZ37DiwJk7H5hChETHB l+sORT13RBuxyqq74CG+wBBY7CJYnZaqgw1U+djcCYZtlyrPOE/E86WflTOr t/TecLtQxJhAYJq2zlRy7FfaI2KALdhKrS18PbMrZUnAPdG4pkyZIgcItqC/ a2VWCcVt1LlpI5Q4jUEYIaNmoVRIbEogM2VZPA5GhLSBlr0M+pRW6PspMKmd LGDQlhUXbBQN6pS9L0mlMDbhIRLeuEPH2v8NBMJjwH0EAqb5Skqr9BPshQme mKwklRDpifuUOmyNHisuU0criX3nuXLllYSWjN7N2UFlp7AUadNFWEp5M4Cf /ubSOKAdNHg3P4S24iB6NZSuXiZSkeSb/oZANOEd3hOUvgsmvYdjtXq+Bl5+ EThMtsBRiguqd/oIsaVU/VO7acw6KKAXFTFyAlonBc3QLcZ0FPzb7OHR9V4g U5WsdXiou3SqlDX09NNPiyxkMlXJUjdL3QHRVNu4bHXBj+JaHrCMMu4+/ozt N09dt4Sy4SBsa0BvyvzZ2vtDkdDRj9ROZauJYFiLnOlK7VTxuPXXX991ouLA IAxMR/0AwSCVKgPx8Mgh1w2p0i4eDdoEncLrFRvxI7JxB0M9CmpyTk6vmaVw DRU67fovyrIdKfEzLs9CDSDORgLqrGXadtKUzExph9id/PGqiQSuF7Jo/+ey aLWbCcuoGrV2MykhuENQ4tkoOrWW7mbFv3GJbO2U03O042jkaKxUcbRQVWLo CeRpFcAJwajGkBmexetvihcv4RrjJ1Nj9aKU/850+f+Jjcz0vbCR/1/YyNv5 I9o2XGw0NqNBr/2KYMzcdv2gEyh9hLShu+++2/N6ioABNgDS/pZbbint16La Ej5kDl5L00uj+CpqmO5QAY91z7Oo61pIRFRo00UpAO1QAgTpb0p1Jl07VKvI yqXWtZpwwafPcUpW9EWLS39DI7OV3+2903E4WO/pPZzP1vPYz+lvPiECB1ui uhpJWE4fITVSurPIyTVp0iRRlJAHfxg9CWidMDl+v6FbjOko+LfZw6PrvchM Sclah4e6S6dKhx/C27eL7giiV8lC8kJ1lroDoqm2VMXvpPCnGTPapCnKVOHh 77LLLmueum4J5fhi45HSrAnjhk0ayi8L3DQxX9sTM4mNwlvUpztp6JNMQNqJ wFGg8ssOkjwlMIYrr7zSt+cHvDdVnERgBz3ZOZ5GTWvi6746w1+uSzRmbeNR v490Lt13uEPVkEFEziBN5M1u48ghOtJyYFTUPN67Qd7gVySlzea6n0dYWCuM yx06EsD7c1R5sgHK1D2hx8O5eqkZ+DT5gfopes8piTJKQMclwhi2XI+pTA8e 55NPPnkwDApnFLybS9GhTqczFF73040HCrmM4/XBB7e2Ymcj3oNCdlzG2UOz 0CTP0nsu1qvNkg4TcJGnScjuaB8WjY73xuC/7NWwkYuFBDYi93x7cxPe0/1m JCNePJyT4jPEevEPMjT+ao5y7cJvY/7WZgx1ddRQ0Vv9I8RIuSh6Lm5lFzIm O8jWvzYi646neYPq9j4t8Jck6BcoYcrCUd4TbIoU2XKhy839V0I5qLWQycTl JL5kHb2RLNzU6O7fwQFI38lKqIz+7r333p0KchTPkdozAXK4vyFGuer8/7LY eYmUQMG7TPBSrwnlZa377bffl3xEhA0HAMq1MxVK9Pf5BogFN2lKhD0oENZI iB19dLi/8n+5KPRha3LHyuRRfmYkaKPlI1UNdNGO4fwQpKZagV5eA030fk3R RfU5SVvayRcV2oZ2F+c6ePHskclO0W8920cOcZYPbgqljBUZgIW/DKWZBcTv dok0BJkoh0EHjV5bQQY35XlZbATKRDDyDGkjivryduKk3ltVVq3z1KpE6Eor rZTtXEGRdmAndVDedKaUtJFyidA6P7amBF7LGmv17+uN8riO9BoSr6Tj+7oT a4dxHO1l/bGniSwVwcGWUbFfLQ0F5ohHCATkksLVXJQoE+9mdXKyrLw0hD0a BpstxR5nO75rDO9G7HfzodmdGhbLltDJdj40Zc5YlagYtkJf2kaAIokdkUTu lCk6SikjJxz5l7oGVIAfU0OAaDD1zKHdL3jX8AyFjmfOnNlPWH7Yu+TUjWQW zJVcc72NF02TQmQwggbEpvutWIkEcnnR84gnrKvwT4qVakNSKbUAoTglChgE QdAGWJWGvXLkpAUQ9b3pppscMXleiDoR/7MrCy+Rbsyu+ohjjExNKwgZ1nE2 2SgEPOjRTL+GfDzl1aiwGWMp1MWiop2gnpDW6QcqsO7uUCgfjwunDImyh/pw SBWOd+BRsrVWiYCz0txGjqPyXWGXRvavoXFsEwFkaObMSBgJgElHOxlGBx10 UFv6dzfkdxTnFcmN4LKulUGjyq6s3z18ZG7Ry7chM6fQDkmmma44zWPCqWQq FwULSFHiLJXeEgRQlFdU7Inf6GHGjBnNRJjhoKReBmhtzDXbNgFTiiM7lqIw L6mnRLV+DKEoDUHwW4cTcehhqh+cYItjsFzEVhxLb9o79thjM/ngHdvwLY1o o1KRH9PIxWb4NoNsSl/i4qCjiY1tk6WvGpemBTXgG+4eCYnYHQmycKcOU6ks LXk1ezkh8F8oLxfFC4l/ULLWlWxYH2KEtLxVsY0QmFbkB7QKs72cECgZOJZQ uxkW8E466SSdaeAVjE6EplkXA4BriQHIpUUharrgcRFFXI80l72dKJRDy9zu 4X6CTgf6cEh5WBT57T2WVyfN64iitoGi0gKHOLmSlNmaxx13XCY0B6DIdL9V lrbZGtYpL1nuxqNp2GOPPvpoNZLFWtrbp4bVkLyAOkTEzG74jA+KCUFTWcal dAF00+lmny4fc7qwWAQN4XGmUKf3mWpC7wVwE6YVOh6Sn7fByp6CN2ODIIAS e0pQUBtYkKH0cKtSt2xnZSIU2qoYbTVOUDBTeB7kVO2tMjPtHSDAsDCCNm6q jzs0KFSqB8wFSyqyeyaH3Dx+w1OqbCH61+EFfjNDrIFcqfIIG02VR+GeJ8qj 3seD7v8Jhy4tooichKPv58OpWnFZdRatOLYiWYHMZp8wx6ng4eA/wgmbo1Hw CBT8W+nRCWIHBaEmBcUBfoA2xUBUp2RF03bFFVcMcGxiENtChheS+ZMOVVqA HHUFZ+mnfTgVTYYMpnFW1BGWGXjy3oMhV0p8x4U/JJyZDMX01BFGIOCoo50o NidrOA0n858UHX7jOvroowc4J0GWGfmHWinMEZ4fvqnODY5LHAJKpGJO9/Xf GEnxeKImnM//VLJiaGdVme1X0ki7gVS4YriMJWmRYL56wljzIvmUj664GIlT SFROZny0HWkWJ3n1VdsKmyDPeyU/OJHiIcTorWRjVqcDkSqhzUUYaV8HQSWh WTU9AjTaGp/2LklCUHfoAdhRe9VjNd2hhUeSx7bVVltFHokVRBt+LeORxWyO BKWJqAaXcglvu+02DU6yhfLLYTiUJvik96hC0miQtuEHxQdelsLNcac++MC0 /cWc1oHpunarsvnxRViXVfmIw3Q/xxFAtfqwx1GWbQPqzZv6yct29sPjAMcD n4Yizqgc6PV71OMRlKRRFEUXpOpLUBOJ4F5iT+ofB3n6WiBSRvbx/qEh/pmy pGoE+TPepVLeuZCV5HnuXg+yVHQpXLA9dQMH4LCBys4TWviYd4N0RKdkLV11 1VX9IDvQu8RhrDq+yrP8SDtkZOLTRHrNZ70byR0WC7yM1+6IA6Ae4pFhc9x8 8839IFOXTIPUczgAJaQ/XA+ZmAonxPDbcetkPquLE9eAXmqrN9m5/hfO2Ws7 IEP0wpEBplldog7pLA3X2muv7c6QgQIQIbIgkFW7mtTmg71/QgVytCBoeeXA DO+frUo2PZQ226kfyId4l0qTwC7DmkYN2bke5OmheSz44Jln5QWR7Qwx+SNJ jbKIb6wQfp111olD4k2SocmFoan9C0tAmvK7Kb39sDjUuxSnzNw+IkVzpzYs ClaNxOTbqt6mjcBL3tU1dqdqLqMIEfrU1mWZsOaIdZlBVImXs1uJ5uL4nBQ+ O4qOhDsalXkNzRJIj7ZwHH0ArOTlF1ZKiYCTFF6qkXDyRxyGEAZwmgjV/hJn 5lThjTfeWDo4EyrbhlgYrF65JTjlaYORNiJ2mCOGfYD4QIhpW+7Yvk/wiHJC BSVpNW8jTYnbCB9/wbtOTwKS3oCHQ1sQuHGs4ze4+uqrKzEbXHOKVdhuKA4o 9/iw8dVmxDQ64gQ/CRIbshLfULyfmkbEKmAQJhg/0I4vfAFWjn4kfBWOItdR I8Jc9T4nV1QivrAEnHXlAto6+YgowyDhlNv83oY4xYTi5YjLNCH7RV9D3Cgv O3sa8hoHlJMPXV5Lcct2ZFXShm07mX7EBOmSH2xZe+ygfAyGGYZC4liYaUrE Gn+OHCsacwvpu4C38QQzwrfXNWF8hN+MKueaQcyFh4d4BqxvkNbNKV4/lvJ6 2YUcQj3S0USOqQ9i4ixkbX70KjZcuaBsiUui7FMMs1cucTjYPrTpsg0fE25Q Q9PfVCiA3IROKCfQCTaeSKKILSUX0+dshcfMEMKG6W/Q2tZheLtIWt4xvYdQ jZ5nUaW/eZqGwMFOFzjKLMEkTR8hHCgUMSXS39iQ/PEeNvWpBJYeioVr2J+x tgh7kWdc+sHXE5pL8W0gRLslRG1zi6eimzlCsf+6FLR07hKk6nASneqmrduC FsxCaKlNZ4xiv13/YXy6fHkuqZ3B37nnnts8l93SXJrWo1VRN4198l050EtU zC7bePapjUchCDbYAQcc4MVDivCZMvT4P+qJhBP8CJ9hfTlZ8nlUHvOF1NTS I/8L1Zw7KaKx5DWb0LGJnaMTVBf4C7mqA1ZN591yRzkFOPohrQYhyM7ZwUeG YbLSy7JcW5pKFaSjUGGm45/AqlF17uOFdPEX9uQLe7JpT6rwMQ7bo50COBlS TypFkbf3kRH57ONy0Qj51gku+at3Yy6mp1GFO+qOcAg6ipZQUqD3rpfCnUKb LoLeWrBAkv6mjC8OYHa8XHKqoGhPwlXS5zgNKgIi3dPfvNpAly/pS27Se9J3 09TAW+zJApzxh/qKt5Glj1CkRChyfwXU8DBWkvr0c4+lPcmS9GesLcLeSWEv fvA2f6DotD+i4ycGg1SpfexNxyoOMk5TdN9wDWZ1iIlYdXPXHRA3tY17H0/X fxj/5qDyhCrf3HhV84R2SxNq/9fSqJvLPntTabirrbZadoxTgFXO47R70YmY CyOfTbmmzTT/FeaAexCmYChoSfAV0deahKKyenix3fEeM8KZbt0nT0pDMQoS 1FU/lwtF2oBWnLuuzJGMYLzSxzsN0pelYlWwMFXsQ2WOsOiNW1ci7jguyf4l T0UxJ3JScN/ht2qMGkvBVzZlyuBSAqj4MNFlCh/p4qXHrZX2ikodJLShDSkk 3KdSh941il9PxMGzlrgZQoaJiKMFgkvITJWadAT30Efi0BuioDVPJcgNeUMQ qXoTZVH2eixksOEjxomPdxprDGnN2qOdKuitseLRYKcRGdTuxbWKzzct3sG8 011KIuVPEw79slOaY0OAoPQRnjnjjDOU8wiTISDFJBhNWpJZFLQeKEFD1UqJ qXpkIRa3Iv1Yb8Xl4lV+ZnUW9Jsc3+BI3iO05A/uSTU+2pk1U6QHyEeoK8Sg WuhthRgUviIIqZpM+MJUpZBAJCU9FFNWNb4sq8uS4lc2O/VXtdLojTUBS29c acc4QegAjqmLVcG08f9dd901DLv44ou/yfvmK85dsBSbhpGibfFbc/rYnChi oRLs7NKvOe30dgMusnTIHZA/WEXiSajqHX+XCxO48cNwnmsofHZi+alLLrnE FhNtveqGsDsjVyNJT3CIiCqKN+NURY1a3cccIEdIhIJB+nvnIqE4x4s/vDiR VLQhw0iQTfeq7ENqjZ7oYOG60nuFuUBOEg12RhpLeZHNdslhDa2K3Fw40HkR rhzxE8yacl/quMIJOtRI1AB/bSr55BK3f73CVXE6Ri+I9Sry0bOO+kIGZ319 WaQcB6+omTgUPrvhSCashXabn6K5eHE0u6X4VnzKYddKOEFJf1jIQElEiBjI mx3KtGpx87YT7agkRG8p7QhcERwk/ElSmGyhlHY6LEJmXVHFbCTkNOroWVKP XiqLisUjo0y4VJQnJJo8lKZypMYvW5lvjXncJztZiIwyQmpW6ZUMVIHRomDH sgUaaKMjOUpC4EJ/YW0Yg6sGvAlqn+qjpCXpEZ4k8r3fR1Hl+HLVqsa46yne JeIotUa32GILD/2OhLwswCCm5rWd0MAaJP2OxVBEV8svbhJGuH25lwrxp/oQ LHolq3IR2LO2zXwIKTxk3piM7YfUaekPLuQTEMrV45vL31ZzrPn2DW9LjmbE apMqTMa3OVUQ/jQnEBYtqUsCD2IZgVZwyHHUsxkwvpunRpnGyB5B0/FPDqto UKUPk+UpifdNXyjp+5tZMGQ1qChVOk029Jxi5N/woVFiVYSCy7ZBfHOIak6T +duAvbKK2WCe6xsdiUwxDiOK7i7nw5EiSzKapp+g/en+G3RW3TF4AZWdN/Vh tQO9HnELFVRDHsE6SzXkNSmYKcSO9V4sEgpXGJwy0/1WJcosuuiixqaBI2Rc hTQ9ukeb5neMOaJeyoDDnkHssa0k1gzPMxw6vGhemj5YRXvssUe2iUMidt0s +yEOh1R0Zgmdum+9cA0NY0fAImjQhrB/9GJsvldTtCdALPQBpDFvb6kr+Euw kRNGDINME7GwXdFtMZrZsr7BznSISRVJpQvHxjd2SOCSZLGUXwDTVjMct2Bf YmloIJMfEYKhzOqsOZ52PAbF4hyYWFIn8d+SZdCvTDTWMXo035Qti4XEntI+ RPs/y3+D4wA2p2bQeo1yXnG1p1aS5mh7e06Voj/LHyGvk/Q91amD+5sOUbwP vSiWyc9gA5fjdhw9tJnWOUBx8VmtuI5+QndUov6W0ynNgkTxwgH7LgdBdgoO X7P95lQl+nN8aB7GrGRozExcKK/1oWHFLGau6dOnL9GfKJjo2CQTJQqFkuiO St4iCs8xMgkY/EY1dhFFooxMyt6LweZEGXqNzvFVFgfPeLF7f8NCIwHIYx7k /QQ4UEhe4puMMumMyPJvOwgYeDrWiVOGCP6GDgKMGYJTCarnPZljJefP9Yfg IdLyyZJift5WT4XpPjaMl7AFPoymSutQAAOKWgPSO+VloxTBeT48iTA6FAHF cC9t4MPDc5BqZS/bIOXmuVgG/crNax7g62TRAQWZQLzCZN12IhBvheFxHHwo PDAaeLaIgGSCKSIu2OwignR8Emu/48PjbdEQXlbeX9XQ2wfI754ftq7cvBYk IUAvNR+dNIPWmhdEOJWUGM6FM2mdeoLo7CTaGsDrItkjffmAv/M1EgK/PV1Q WeOCZDWk+ays4PV9WL1os3+h+Y4XmldOZPF88TloofnzfUWheemIDGyNHWtT v1Y9LaoGC/lQFzpu4E9PHtYLaovYDRKWBNH/TAV5QZSm0vMcBxHXbEdM7hoK HnzXu0FpRbASfiWhnff4aPPgS5Sv4N9QNv5CnyXWhny4sots47ylHRm98IM6 9xc7SGnQGs5L5upbvRtMQDLyZ6NK/EU+DLsa9ULGHEKhD7RaU2aX+NuyhoO7 W7eyOvGgaptiY3JOccC68CIAc6JDc8wqh+RXb4dMNd2p835JMiO0K+eXrhZb bLG1k82sVxD31kVhIBYluMkE4KK4eOYmLS6YxrVwqSPADgdvHsJxggdo1XYE 5GOzTZVd7t3QtRgINi9OS20O8eRyNvAHC8hMmGadaJsWe7aoy+4KS/sKuczH x6Ggd1GiO9Htm9vRUBI3p2yu9G7ke8VViJiHGmt4N8hXYlLldxyqpiS8mLI8 uujFCBKM1EatQtTDbE99PPvuu68HsRqh1wuW2QqCHo4mm5cLT5+gRz8im7cm sX4IdcRQSCtmUCKPcuB33HHHSk3QX+HDoj7Iz4HRhOt2lXbo9fIz3uR+lXeD KiDns6uycStpCU2dOjU576D3E6A0sOBVwAmadLzatc7tcmcjJiIgeTaAQSdE Dszm9TfaNmKiUuGcuJnpawFo6UZvpwCuGTNmaFsBEvEFRHfvLbBS1IjHYd7w bY0mgDUS4Yy0ThdndKz7FethVgobT6GQ2fqM2RPo27RxHrkaGEHQXOsjYplp RKQ9zxgT1HzDRvkZy6n3Hl8NDHiqhdzxT5JthVajonW1TxCOI/amQvGwuAZk t/JHkKmMqSVHxt4YndgjUqU5Smt2nowvRdtJCvyed4MXWIUQuDhnJqTh3Ohs yFGzmyvJSZgMUArVV0cUmHqVVGpE+lofGsRkkdLRBRdcED3DDUgTWkabpywn F7M65jNIMj5tlBvAuqfLW2+9VedeVbqTQ3bXeXekj6XBfSxP7QsYiwrjVI/Q d4MRo0OmxlCHvShh5pYDr2pQwiQaH/4UPEh15NBMoNUqYgj8vANjuXpy6EAU /itIjrU2n9+qQpWwHINb6GvNc/zg+z6iCk3imUEfNaPe30FeSAVsJ9i3McKa 5BfmAu+K7RKl3fMVJwvHuwzttvS0lAKaDr0phQt9haofU9opgC/aTzHEEyiY hF7PPU4Cbh9ntP6K++FYjxHUYWlQUZtOxRPxKp111lk1SQvwUTzfdUkLcm32 Q/x6hwQfRFo8gWDx6+sRV9UCtj9ykcs4owLmsGhVapRBwDbWrfb/yX6rasFw 6OwHvoeYAb3Gi9/4bo9pV6bniw2ACaZyiCp89/qMtVTR/BB9lVeP5YDKu2w9 VYpz86Nh2pT5gFOXqWWrFidSiuHxR9Bd8a14jmc4+oDxAmjwMNp4ThkVyswl TnOjg0g6TPoCMuwE7VlVdoQZ9w6Vi1gsSLgVuToaAZmDBYv20Kjg/sCHJkmB KBdDczKOo6vLtG8WsMLriDdmPj6LHTMp2GugTn+YtjB9/g8rMzkm+x1XOdw1 pZy/KVZcP4SYWcpG/YiXKiSjv9zk4ONaUOlP9PR0r6sUJHbyXXfdVTkFCu9h jnDmyxPK0kZ+tmbdadJUtYezeUhP1ICl2ymngA6dBleheA16oVwaWmCZOxaK LVW0YZZyb3of2eyqfCd7l+mXGL7Ze4C0egcQCwqYTfCJQWhTeu3pitqFtk9h SLtss/HZiYlaphhb97R1AzFoQyBffPHFjctPREQ8pkdDqTw7ABGZ8uIIWfGp 4oFcpu6GcpM6O4nQRDTlkZd1gqnLhqN+nGiLfeiJ4PE+NB8tVd0nETht2rTs FkeDpYaaLRhQHUVY+CaLrVz3ZLbDqNoB8KrUW2H8IzrkWyjoObKRu6swJfXC zLJZ2G9lT1WJR9YFliB+63mTxYrXJyUURKEdh+WPEmjl9uGi1oWYMStQ4qvq 3hkL5jN/TJ1sX5Qu/jjghdLVGL3Q8Gn+POYe9Wle1Z9Y6kaYkWOG+cc3SYAm StEd9Wu1NdMTdeKIaM/ISjRq3adlhsvkJw4+CSUKb+BmIO1KuwXKsg1wAhla /Tw0P/Yu9XIyLqQujtZX/icpUvB+tG4dY6UfNh4RAfF+UYMg5m0Oug4hc1Ee iNwFrXz0Tr2YfnymIxKSdcS3xnrIP3YE2RXwep1vJlXWhn7FrBEJLw9FHSdG pKKyC8YlnJ3Klv7/Yache4dmXbJBYXC3eResEBCRFwd3v9HpNT42eBIXINhj yknlFD7SAiWeX23sMa+U6cwx3NTI7LV8iUyoYiThJdP/sqVmjYzcRjmoie4+ PIcEv4u3PRGkKw6za4z0tXViyzry40Wrwx1ag6wkeeeIWpmpl73aoZBExdK8 5JJLKn74tPyyDhbDA5Qq3UhNDY03hlzNzP1KnDlYsj81pSrozAiW2+c///mY F4x2tWAfquJnYhGLqppQvk3yFclqUz1PLrnPYDB3JijIfmBm8MiJHeMGwjFR X9oSI4FMEOrojfoTyhygt7aIhUaXP4yUFJzEyLOG+rRyVuC3kVu+WCpjQcxh Y6Bb8Qei2n74Wjk69KKEUCCcLrVUzxNBWVYEZPk2j7dhRnPvuuuum93lKDCZ StHBWGEsMSYtv3Il1LZaziSRMeWtURJRD8tDXJmLMGMf6snGwAJTgUDcP8qx NwrqOBgOa7lUsG9YbTIzWGl4mXkUlsJrBfg/SqHZCAU2I4FbYY+j15F+xZa+ 8sorZVJil9E7CQw/81HJb9SWQqeipqQYFHYYyUrlarqpRAHrYkkUbYQk8I3w rdFD/1MfGtrTvchmKyprSKAQORUK4yDSUDi+242eH8hsJpgitigdCjyaSbSA LzY4H9n2qEWINzgV3PXwww93LEajlCV+RTSEKAg8AadFVTqbMZnd7Qjhi0zT +0g3XtLBYcvATcuFSRt1lbsSGpFfS54F/qpDDjmk6fiOaMRIPGJcJPJxvvtR 48jViDc7+bMX+y84driXy6ggh4dKjZEn1fFPGJWglZhSPhVVrO9xDFiLWtYw e4r5q9Q7hEa6l6uSyk7ArUDUgW9pjRTOJvGtsUaK5kNeMVgYm5ziPA1pXjou wo4hadQvzTYHUfEs8k2+cMlApMe9PiJ7Qjmn7E2mS5XdcYSrWlo1UbAbLELk Ab4S01DmTZYNih0PmbnZWAhH1GY7s1SRjjzDS3cb0rclIdO31yxQ9G9iQd5P lc2nGNfPfRCkTprcgEGqjcsEkTRYrgmqLAMkPcKgyDLA8VLEHjS+fCNQAd1Y l5I+7Nlm8/A+B49AGKkwPMDDuJYa3ryQagmIB77JiAYuBIzNVSwBqXQR5vwX PhzPaV59yLhF4aDSesaH7wE+fa9H8b4xMnhGolTXRczc7m9kqpobnPVy/eGt IJNjoTbku0HYYHzgkjPRoKXHV3Rd4De+LhKgPNEBGbq/9EExXwBGVDdDI1N+ ICs46aYkRIqsfZX8RLKTnVmkNBevB9NvXCTrNcpozYZq92aFlybgv2A9/mKY 9E3NBDwYQeXViVTWOTyb6vND4bPYVAAaX39gbZR9oZ2XBT7gY6kNjcsWpNiO NBSEVY8aeoMQvBLfSVG0u/hMt2djJVhNBCmcCtewpvGRvrgee42p4p/Ev7xs AtK1Vw2Y0TQmN/rroyL2GIfch3f3wQQO2lAKkaB4gxdxOECQtcXK7723p1ES 3u9d6lQR3bJaqQD6onrU9H45SAfBuVh+BLAkETlp7L8ZdvZZVzz0V96RXo2i sfGhiKPQCW24cUxi9UNHFFLxN7QXXsBB/v389egosJwWCP21d0NcmG50Mo33 fmi7I3BQb/D6PPXUU/0gU5ficZi9rGLeJjxvO2SiGQzsIe+GdEyEBBuAbuDC WorIfRLXy2yxEbLfeJcqwcKFU4FcjHnaIVMhCnTLh72b1Pm6xhprhARIrSS4 FeoeQsqE0KCQkYunM5yZGyx9IFNBEETJI95NWqUFnYkcxwW8G0QJWwlRc+ml l/aDTNPA8kR7kSkFk5u7HbK03Ocj3saM0U3xhqxiOAwSDacFgqZIAdYBZ/ZR h1KJQlyEZjHqJrVDqdwe6PdYaBsJhrNsQ1RbTCrbBZoJVfTk7Is19wPutw4c TjVpsEwyuZyj7cCJYeCg+J13o7PTXKxkUk41E6reSRaDaan9IHvMu8QxITrI iBlph0xblRPPv3OysbTQdDhxl7kJbxM5OSFbVhhdHIrrB9zjDhz2hbJF4XLU 7xluBy6tovmkd4M6rXw6WJPNgBtqvSqauKFM2e8HmWaCg5JKQcCo4lxUtx2y tN7l770b9oNcPEgAINOiVb1LNCLTmByyzxaQUUO/yF1HTYc2rBcOBUxuAr2g xqSAsXR74ph8T15E0FbEQ3EqRn/aUVBXXKTdAIPmiGl3JxurIUXBlj/0Q0Pg GCF/nEfD4qFebSMWv/eH8U3orVNcKtlL7K4NBZYU91PWVyhgsiZBxlCHQSiw rbAiy9xIB6ZAQSMoLIFUYkL4NtaExh983zCD4K9UnJbyf8JAKbO8f+oZ74bJ pxvV/QLiK664Qo4MtBhFQYxQFSTSwJnca4hdL0xfLMg6JJ727gkKYDHiYTAz qw14JWXAcp918hPCVTSaKSX3Ro4ubEc873B3Mywc8sMSKNk+rVA+4zdLoUyV 0bbKbpxHL3I5wpIMehLt6EMqfMzqkB+utzrqwBNzIOhGYoRfdQD/0enCEWMt SeclmZiJaoyhZ//Zl5rKxYgnMQQ7ENritMT+rmxB3JHcCh/iD1uKjB7eJyGP jEp0F4COB/dZx6yB7aVFb/7ibeQfYAH1XlvRCYsHy4s7tixDyS6DjTAqswCv RhQaR51dKFX/Az+P6tu4dM3+5r+pCAcXPj9OmtfwAcjMFA0F/1Qn0rTopBgd ToO3yq+62W8A9Cs+Enmxfsgoko60Ej3+V3/cRGV4lPQDM50q8GJtAy/f5mva OK2QjIRkVOq/cIkTX3vttc/7UxL5/GRyoQIAcZNZBaCqh9icZNVRy/VGDvIn MHH8JcKFujkLo6oU4JprrhlH1ft6EOG95FuNmrmxTopbqJneKNwGRJhjK7K9 WVFwIzof8c/k1WDBteSvzpGAgq/ovbby5MI7aMNBohgXS827DhfW+aj/hoc+ /Y0z40O+MPiO901/1NuwNlXCRFVEFy4f4A3EGsE7P6vUUU4Ipem38lvREqQ0 mxIS+jcIUXv0xwbhZ5NMIpCy5nsE6kYPKiatEbCQk5OC+oxyTxyAyAKaDsY0 BTnuvvtuOSNx69OElgE7gdlxO5V6h4KTfyQsHhij/kiqz7JSAVEd4BzALOpD LKJ3NKFRi1gwfgWabXMrICMC5YmO00YhP5pT3Do5pPGifCPF8W3zxxLAxcrh IjiBtet26Vp4FEHZw0NhQckrawaY9BQnUvimso4otOA3YPWPATcdO0ObTmcx OA0wMTJ1IpkMhCwNZsLUi3c6Fm2IYmQnTg/1J+Lw+lV5GFFHsEjTceuogjlB kGTA8iENVDkxgZhR+CYn6L+DKgrxqr9ZoYBOh0kBxBs/m4sCsGjiqH3zohhN 0Q9/GOhe5SmCn6Iu8BFUaNR4w2RDoybjmfCqJ6Ic2KMcUVqpij1rVvMvyQjo BuJsEkAOGs5KDLIrMFYGnf+UCNhFRWU1+9TCICeTvECCqSkZmhYBxrnIoMIk BPNMW5lNMujAMubMIGTgaMKskIF5J66hYilyrBd3FJ+YjqwvKot0/BMTYBDm oAokZLjaNplNqqguEKdQJVywe3TAZsLCpZkwyNo874WPVWIlz13p7oa6KZ0Q RhiEEtomZe1kVimhGsucDxIlQEWe2zlECaJMygQSWyHQAQshU0NB+EFlhfTZ ctWQ2ZWgxCeaN8nYOGaJr0An0TFUkY5a7E3yAomJTz+tjIgqgdQzbqhbdRiL yrfNHKQbicPwBup2Sa9wpnK1kFmlj7Q6tuwgTGTmzJkRQK0Q7NIVV1wxMOas Ew8l98gzFlY06ShsERK3+IOMRFmwX9knXb+X9xOhaZGxwdEo/siGge3Di/Ce SbcVjbgIEaBGkiaEu0HFWlHJSKIsVxKZVYKpjAf8fxCCEbmpbqmiijLHzoeD cUYbWwjvGkJNZavR3FFR8RtDKeLQaPEkQY74PSglPMfq4R7UXVRbeu9WqMR9 zASUILhOHFBUUrmROaPia9tR6qONSqRa6BSFqMT8VdvI8qeNFSYzEG8qbbqu v/76ot9wMCMr177TnqQsh3fOxhryW9P60ypfq/Ij7naZTYpgfjiTiNwYQJTs YFQ50ZvlS/NSILM5sGIYHLpqmwpigPJPfMm7lEByD95sQoJrgCai6YNaM4JE FTJwMtsWmU1IdJ4hVZ2o7UNFDMJjgoTSFqqyIUhU0oLQq23Q2YREDnUbfZwf qVxnYlZHwA1BEwUlNYIKbwxYG6LPCMq/hJopDnqj2eyzExVo4ORXigNnnMpF GGZ1BIXuKFSgEVQfYc7goPoGnLXVCKphMGBoss8IOhBenQfaOHwwQGS2zwiq DYDgSP2PHP4nKm27dA4JjjocykfwJzqCvO14FpltnYWjdFM4UJ88Uj73PtGR 5C4n4UXvVqGfbC7vAw1HfWwxe2PgqUFWcAo9VN2ayw+kp+VEZ3GM8ONzxbOq 28+K9SPFMQSA2qC2Z8Nn8R62Pl2lZ6T/7l2lMbHw+afZfwbvHRTH9fL38NmJ r8moPpOX/w7972nN5vo/4/17Yg==\ \>"]] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["\<\ Signal-Response Curves: Phosphorylation and Dephosphorylation\ \>", "Section", CellChangeTimes->{{3.417707316932039*^9, 3.417707327168694*^9}, { 3.417829670748633*^9, 3.417829683285396*^9}}], Cell[CellGroupData[{ Cell["Network Schematic", "Subsection", CellChangeTimes->{{3.417707386421654*^9, 3.417707401014314*^9}, { 3.417708349689343*^9, 3.417708355584109*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnY1t3DAMhWNv0pU6QhfomF2gAzVIHZuSRUkkH2XegQTSi86n9/SZ1u8F 6I9fv3/+2j8+Pv5+/vz5/NkzMjLeP7bXjbfEWJt9WCRGpEiMSJEYkSIxIgUE 43n4xCDVIE2xRHiM27qP+RRfmrdS1ZrUnhIPjzEnbsC4PuzbN2bULRiy1uhj wugFsjGjHzMbh/R3c84iawnJBjxI+7f9wPh6j/M0YUwN6Zqg2Tg8DifG0JwN F5DqaaK/4jF6urao+ga1ccqGSzru2Thd2naAbLhg1Idojhju2ViI4dnFF2F4 D7hLRirHaDyvbvOGY7Ruvdcs3jTGRPvW+6ypZi1WBBDjSQ4kxoMgWIzHQNAY CBCFREgMuQZs3sA9VBoRMIa6eiGkqcSXpO7PJSMehk4DiGGrf8o8jGFoBG2A TgC8wrVyaKujF+o2BXVtPIZBQl8Zvm2yYWBqPjdi/q8ZCkPdTY3DPVOCSPrX u9fF7Be0M1g4DNXizuLtcsBjX6PaasMwxDrQ2R+1lxbrYBcxsCMBqZB9SYlU I0IiJcCSFCpHlDZ6ztD4K+at+rDRji+ZZGcDY+uyGGnd8fpT+w3GZsqXNGrS doFAgBjqBgFQDBhVTXNDLAIQDMzzbSHRY5yGGAaitfIM93ADJaJWli9m+NLY DM9waQtr8KWhkw/EqS/6OF8auDhC7NKMhMWQgegwPDtGZTP7Sb7UlV+BIbmv ilrrMGbDa7+xOBIjUiRGpEiMSJEYkUKAcVxcN3VTw4GpGGPhAoQa4jGMjZsP agjGWNl7qCEWY+kYQA2RGIuX5tRw4C1/qBZ38esgqeetGXAhbZwIajjo6K+F wZonhnu0HioQxsqhihoiu/jioxBqiBtwI0diRIrEiBSJESliYpAj+9kzfr7U qSVumCzE3zyoMPxnc+n3J8psLPnezx3DH0S4Y9Z3cU8Q8VdylpHKacmr+WbR OODiQU5FkbB53oCmpNxhiCryJY25ISqZ5RiAkzhxZ7jV50uqhmgfS1s6oWsq 8RLCAF878yWlIIHpnQEohtWeK1+yqN6j/SYo/BbqW/2Xz/f2vwBGLdV6wnDp 8MKYa2F0jNn7jOuMHqotoaY26rHyGqkabzW1I2O0mszdd4ylE0brPS4dUac/ jsIxHQ4YzfZ2Jm2EKR6jQ8FhIFZyfAmheL7ZWUJFxOglw48DjdFu6hAj2n6j T9FPh2kTPGyEXq680tH+umjJCRaj05J+I627KDRG51JXOxLG8LnpXQ2DMX78 OxfDYKibAThhgGIYqho5cBi2OSwKhnUmDoOhrnoqPI/hsPnR17RkQ2SkFJlU Rx5+9p1cxR2tXCkSQ+zkJ53ZsBl1rm97ORdONSkMBv0PJI49LflXpj6NUdy7 q9hdi89Jfr1QVddskHt3K+mCSNG74pqN4t5NZWNG8rtHrMfYixcbxiVB9aZW vuouXmwQQNnYC5Z7dx/UZUr9ioXfd3XbTvRUKrJB32Gr6rNBxIsuot+T1/f+ ysaoZfp5o8AoX7UYW93Xrt89MbZmNtoyM9Jb2WY6avlhkL87qLOhxSj6Gh0M 3br4de/2ezaGRv3GlIOg64BbdOXqLmox9GHCOF7OKaR32BQWw2Lkq54YMiNf 9dyLPxuJESkSI1Kswth6fyINkWdLSJdNv5uaM+BLaJNlk+vKqdZROjEmnN4A w3b0MyHPl5AuzjPSopHKe1pdOeA6xtJ5w0WcOjRLSJd3mMV39+6RK9xIkRiR IjEiRWJEisSIFG+K8bLxhhgZGRkZkeMfIsNAgw== "], {{0, 0}, {199, 212}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 199}, {0, 212}}]], "Output", CellChangeTimes->{{3.41770751213175*^9, 3.417707538040299*^9}, 3.417707592708109*^9, {3.417708302150392*^9, 3.417708317347582*^9}}] }, Open ]], Cell[CellGroupData[{ Cell["\<\ Assuming mass-action rates for both phosphorylation and dephosphorylation, we \ obtain the ODEs:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707680450191*^9, 3.417707764040714*^9}, { 3.417708757131554*^9, 3.417708797557874*^9}, {3.417829787891674*^9, 3.417829794245027*^9}, 3.417830045214787*^9}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"react", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"R", "\[ShortRightArrow]", "RP"}], ",", " ", RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", "S"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"RP", "\[ShortRightArrow]", "R"}], ",", " ", RowBox[{"k", "[", "2", "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ODESys", "=", RowBox[{ RowBox[{"%", "//", "interpret"}], "//", "First"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"%", "//", "ColumnForm"}], "//", "TraditionalForm"}]}], "Input", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707878456383*^9, 3.417707881561127*^9}, { 3.417707947248625*^9, 3.417708043754384*^9}, {3.417708076035349*^9, 3.417708077588026*^9}, {3.417708807023365*^9, 3.417708883991737*^9}, { 3.417730789261687*^9, 3.417730794869564*^9}, 3.417830045215054*^9}] }, Open ]], Cell[BoxData[ FormBox[ InterpretationBox[GridBox[{ { RowBox[{ RowBox[{ SuperscriptBox["R", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"RP", "(", "t", ")"}]}], "-", RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["RP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"RP", "(", "t", ")"}]}]}]}]} }, BaselinePosition->{Baseline, {1, 1}}, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}], ColumnForm[{ Derivative[ 1][$CellContext`R][$CellContext`t] == -$CellContext`S $CellContext`k[ 1] $CellContext`R[$CellContext`t] + $CellContext`k[ 2] $CellContext`RP[$CellContext`t], Derivative[ 1][$CellContext`RP][$CellContext`t] == $CellContext`S $CellContext`k[ 1] $CellContext`R[$CellContext`t] - $CellContext`k[ 2] $CellContext`RP[$CellContext`t]}], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{3.4178408354084787`*^9, 3.4178415112839737`*^9}], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417830073358928*^9, 3.417830078071786*^9}}], Cell["\<\ Using conservation relation, RT = R[t] + RP[t] is constant, obtain:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417708958388636*^9, 3.417708986009261*^9}, 3.417830049944311*^9}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"ODESys", "[", RowBox[{"[", "2", "]"}], "]"}], "/.", RowBox[{ RowBox[{"R", "[", "t", "]"}], "\[Rule]", " ", RowBox[{"RT", "-", RowBox[{"RP", "[", "t", "]"}]}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{"%", "//", "TraditionalForm"}]}], "Input", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417708886202208*^9, 3.417708909615042*^9}, { 3.417730801381761*^9, 3.417730805966997*^9}, {3.417829974719027*^9, 3.41782997748323*^9}, 3.417830049944492*^9}] }, Open ]], Cell[BoxData[ FormBox[ RowBox[{ RowBox[{ SuperscriptBox["RP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}], " ", RowBox[{"(", RowBox[{"RT", "-", RowBox[{"RP", "(", "t", ")"}]}], ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"RP", "(", "t", ")"}]}]}]}], TraditionalForm]], "Output", CellChangeTimes->{3.4178415141309357`*^9}] }, Open ]], Cell[CellGroupData[{ Cell["Graphical Analysis and Solution Behavior", "Subsection", CellChangeTimes->{{3.417708265329699*^9, 3.417708282847009*^9}}], Cell[CellGroupData[{ Cell["\<\ We find the dependence of the equilibrum for Rp on S by finding intersection \ of:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417829852145501*^9, 3.41782989439556*^9}, 3.417830033835539*^9}], Cell["Production term: S k(1) (RT - RP )", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417829932166601*^9, 3.417829952071478*^9}, { 3.417829983640866*^9, 3.417830033835799*^9}}], Cell["Removal: k(2) RP", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.41782994112844*^9, 3.417829943245808*^9}, { 3.417829985924552*^9, 3.417830000710952*^9}, 3.417830033836028*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"600", "*", "2"}], ",", "400"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708185938001*^9, 3.417708225066429*^9}, {3.417708938849448*^9, 3.417708938949304*^9}, 3.417830033836222*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnWma9CqOhZPoldSWegl3A7WC+t3brs6MyWCwEYOkA+d9qjJGS0LiGBuI 7/7rn3//7z+Pn5+f/ws/P//5n5+fByGEEEIIIYQQQgghhBBCCCGEoBCCdQSE bArFh01gAXFh7YD5U16g/lBh4YB5FY81BIWFw+VTu7Yi5o9ih9AjPLEOg/TQ KL6RxkgDz1RTftA0Va94EPuCFu9MM+HAtMilfAzFp8VHfMy4a+J7g8Pd3nPC M3rzOxHzPCj9+JG8TO872BemEKX1UDcm3DUhJIsK0eP77UR8H+Xl50S/Jk4L FuwLU4jPnuFB8UGQGdOefz8jXOZb6VxoYXTLaI59YQrR6e1YMebbMecLzkRt d+LLXHbmTrrfI8bETSJO2uNSAxiX4vteSZ4/LY18mffYHabA63p0DrILydh2 fdlZManC686pML3oHJSUnklLr8UjH3vHFOILEwJHiEa+77uPzOv8Q/yVjG32 jklwegWbaNngVnzxHf2d+LjWMJnwwToSIuZQt1rxHV9dii/uE+weMzjOcRqH QmRE8jhNuHz/xs8Ory7El56O2TdmEJ3dmGIYTuq4XGqQTbhkLoTYNWaQXVIl 3jnJI51KCdG30v0Tl0sNmYsg9owpBA59iJTkEe/e/P+/4fn/7GJ7UXz37sgI MtcuxD25mcnPk++KX2aEu9gufTHxzY4xBYoPkTGFEohvhDuSQvEhEt0sdFhJ Xpdss1/MgRMukAxZ/i5MaZ5ts1/MgfMtmHx/GPt+3WIj/8YI26SC40QYcwzF eZFdbOD0Ts42+8UsuLuMEEIIIYQQQgghhBBCCCGEEEL+cLpw6iwsbq8iw3n9 iM46jBR3YR1/B6UXmZ8UZHYR+QkOdGvTxW9zTHEX1uU/azHNp5cz0DGS42+h fUT3cNVT6nG6H9nfOSHdua0QmZ8k5CJxE9wfXuKQ4HxHsqOo0v6nEJqfE2Pm jOPsJ1wOkiTm25dMwyjhKKVpZ5sfmp8TI8A/meMkDBF+CpzFUVT6I5+jEyPF NwO34guHvy6wFJ91GjjyTcFPgRP8TPS9oPgecSSccOnFT4ETgreQKL5HIr7g qUZuAhHgp8AJ3uKh+KInz+eOLk38RFKPo5v6GG/xcLYzevLwViHzHLXgZyE3 wVNAv7Ho73BxdGIsjHyO8BVNJV7F5yqg5+zP+/nxYbJbNVc3ZCOxD+uAgyQ1 4G5a8cVvWH7qG/3rhFoJ8y0+B2G9OJ4b0fAovWd39xTYIRbV3zT4SEIuEken R19dhayBn06V+w8hOjo/eomDEEIIIYQQQggh3nAzfUGmwPq6xc/CApkB6+sX P0vqZAasr2PSndvP9/zVymFILmNKydXXbeBuw5oTV+k3cxfeLj+9PbTxw55P bZrjg8JvVK4D7/n0+uObjPV0gc42XTu+OrYDim9p8eV/iza1G1+Hs57jdjjy rS2+/MhnNoZMFR/cyHcuTiAC5lRlHBnxWacMEa3iWLcTizlVGQfFNwSt4li3 E4s5VRlH04QLiZlV5+I9H0LPsgYgRcV7PveRO8JgtpP6uwMhPxRfP/PEl9kB 8aoN1XcDQnryO1wQIveDhfje15+TPIMTMLZMZsXHsoqYl6tw7kWH0rBMBWBu izP15XWnjJm5uikNC5UhoIx8j9w1Jsh5wwuqyUpKw1JleE1JWYfRCCsqQTVX p9JQfllgk8J6irAVH8uVBTYlKPerTrAWX/Hd3Ujuhu0C6SLg/mPbBjgQH0e/ R6Q3mAmXM4Hik+BBfJTfKuLjyCfCcrYz/Wjrqh1+HIArvuzaHynhY+T7fMq6 PcCXGoCDV8eR+Ki+9/AHm4bXxnnrMFDwJL7tp6oDxbcVvsS3ofyiJYbPe6gZ oPgkeBPfY7Orz2NTQ+5NKMLrJ2PWcYDgZbbz9L09CljcdqAfyhCwd6Zq43Dk e39zixKWdh2oBzIEjnwinIpvG/llmwjbcopPhFvxbSO/hGfvRW03xSfBsfi2 lF+AFt8rcNTwtXEtvg3l9+q8oG0O2OcObVzOdqbHrFjL0hbz52eQLf6UCjN8 fZyPfO+jlqvmqUnh8ADaXopPCID4lpRf2qDoJW5rKT4JEOJbUH5pY6LXsG39 jHyg8SsDIr4F5XcBbktfgcPGrwuM+HaSH2w7A8Unwf1sZ3r8DmWFbSXFJwJo 5HtbAC9sRfy4baT4JICJbwH5VYQP28LvyAfaAF3gxAcvvx1GPg59VQCKD1x+ ud/vJU9gWxcoPgmQ4gOXX8pXe+ji48gnAmq2M7W1SIXTgQ9XfBz5RICOfG9r K9T43AbYdgX8sVsTYPGtIr+FxPftTrAt0ARafGjyq40UqU0RgeKTAC4+JPnV h4nSojMUnwR48eHIrz5GjPZkOI58oE3QBHa2M7XrvtaCAAFaU4Dik7DAyPe2 vE61YdtyCBy1CZosIr615AfbEopPxDLiA5XfN+BwfKrXjpChx9r5GSmxkPjc yu8iprCW+KKRz2ElnLGU+HzK7yKi4yfHp6riywXTb41D3z1LzHZq+5BxJb78 c1Xx5aNpNEbxSVhs5NPzIkAcDcW3BwuKz+W1pwhQ8cV5xy6BCiuKD15+i4gP uAI6rCk+cPlZia/baxQ4bv61WFV80PIzE98A9eWfkxzLzXYm7iA7gNlSQ69f jnwi1h353g4Nu8C176uld80z4uFJd7ooPglri89Wfq3a074cOT72uU5GPqrv mtXFZyi/G6eh/MriXuDts1d9pRfkzPriM7/4zJNoz058n92dA5wHik/CDuJz Kb9w8dLi1vj4qsdQ9Ko9pC1YebYzdQ3TF4xD7XCeiA8m4zbsMfK9neu573IE 22vTkQ+0GVrsIz5V+YkmW84fw/ba9N7VKg4MdhLfQ+3q88bHXQjmaWolUHwS NhOfjvzu7N9+bpGmZNKz1Uj5FUnZTnwO5l5unRvEF770Wbl4SRJ2me2MMJff DSYbgR7Ps0KX7/Rg11m2Z8OR7xff8jMQ3+lvox2KT8Cm4pskv0aL6WHqaQqR +EYtslN8N1SlJ2Roc+apGuNXHprTMsZOOyH30GSI4hOgKD7dVe4aRkfUKr5B dtoZJb7zyOeq3t6oFJ/o60Ur3sQ3PKZBlmwvOweOfBz6Lqmqc8g+bXDlTnwP l3MvxhMu40Y+iu+SupEv+7TFmctiaMqv7mRnuNTQe3GTvtER1PJQfL/oya/2 Hnt6IGeXLwF2Vvhktsfc4lB8T/rkV31o3fdM0vROwMAdLhTfNWLxddbGby06 5OdkycKakAkcsyVKyMXXOeXSfvR0WuU3vFm+01Qklz/MlihROQFweNY3Gea7 Fm3yG94q72kqwJFPSF1ywuFJh4Lci69RfqMbZTTh8n7WZeX0Tru15akUX1QY N/dGU9Be98v4Mllq+Kqvy87ZcIe5xakV32sa+r0M25ZRCPEpyy/nyWaRfYD4 MoFDVNyIytyEEO1Pad3EiCE+Vfnl3Bjt7QzRqzZDFJ+A+hWqqEcsLr5a+Qlb I8i1zHAv8b6ygdvLKL4rmq8gG53hlKJCfsLmVH95LfHhlFwb3bkFrErcyk/W nPovG4lvwq8aKL4rKL4rbuQ3Z9yzmnD5TGZ3mMkEDlZyTSi+a7QXHt5O1T1+ /HZuIKx5izyRXTg9j1h7nS/FQH5maQqdjeXIJ0KSmvAV39LrfClRg5NFl1kO Z5qf6DkrPsSaqyBIzVt7378NziALcdz+EcaqL2sGNE2FwFEbMx+p9rr+qQFU 8T2Oe3yGqi9vBTZNFJ8IgfgOf3dY50t46m24+Eq+Rhg3gOKTQPFVExKG2Cx5 GmFcEEaWJjuVb5JHs/i2mnD50Nw3i19eTHxOtomjIJ5veb1odAZeh2bxid3I Dujm67HLd/5g8KLPQ5DrwwrsTut8EW3ik7baQHyF52I7FJ8AQWL673i2FZ/c i/CIXgaJjyOfCOGty+7iG77OV3Iy0XrO4cUrkZ2C+NCrPgnu7ZTRe/6pdTLN dt7hxSuZocK6ZbvFlaH4ZIRowW+WE/3ZztILqR2KTwDFJyLupLOaAys+jnwi 6us8IIH44ouZJT/LpYZO7a21XW4ylWkJCa3OVqtCl/yKBxqkacStbPHo5co+ iEbxbbrInqHnXHRhszWcZgZMI5UPX6/sQ2j7VcOGSw3lyG+6rHBr2ctibVi+ oPhESPd2ig+Lj4Ktwo2+yh8P25+MQFl8oA2aS6P49vtVw3XkF1dcTb5A01QM HLVBc1GtM7T47j4f2DjQe75HWWS4dZ8J1/mGMU5+oLOdHPmEUHwDiftue1fW T9PXY6/67uyTL7KkdJ4bVxffUX49A4mB+ArPpWaGzjstj+xnaZ2XJuuL7yO/ rlyppykMEt/FusryhW9A9nu+x+P1X3LbaZFdGnJIkXtE/VUDRz4RgjqH098G Z3g1aBu5bsV3s24od9qDhvjwKj+dth0uGy2yt7cUSXyh9KLHUOUn+yJeZI8f pM7gStAa7734rg9udNvK9AkXii8DxTeF25HvMhHrLTXwujNH42UnxXfDrfhu Dp4T1aXLvpnst5WGj7ZFMtt5/EvxXYM12/mYvb3s+qNdkcx2fpYaWhO5kfgq plwuj50S063fbgMUnwT5IrvwoNRA25EmdMX6FV5GfsHdZecYrsUH2qh5yLeX /T22OkMqQPfMw0diifxuh0OPaTpOyZzeOnzrysL4qLDhxuoSnTc/yctw7Lx3 6lNPU4jJR/T+4Lt59RQo3CnFFopvCudmfnp1xa2gO/HFsnu9d37rdgWlN87F oPjUONwB3qjPIE3fcfnq03B6K470OvCdi59Ftc57i+80wDgS37XD8+1e6UBn ewecw5HvxMwQ3Yqv7uM78d0EjlB9TSi+lMkxIopv0MhH8SVQfCk7iu/GX1Z8 xw1Prw/v6otQfk0ovpTZIfqc7az7OFmtjAO9Fx+HvhiKT51VxHe+5rwNnOWP 4GzncO7aeH/daTHbeRVVYeTLmrlz0xPlanDk+zIotvs2vnp4UX7exJed7bxc ECz7aY1wRQTZqJgpqLDQdqQGg2KTmCnk0l2a8ivque/dj/rDgsKnOhkhpcmZ 49zbxFa4zHOWpuz2sqazhreWmVKZjLSLtMmI4su6PTn2l6bT1Obfe+efRlWI z1vTDKnLRf4sJz7OufjsPJ9PbVaxFMmeIs56rLjfHRkVNlV1LnxHnGnf4lNz lLvMTK7o1NP0jaDLN8UnYfZ2juQlU59XeSw/q9nO1/MuMwO+sg0Unzqly4hv cgzE9/gWa+7IR/V9ofjUudrY8p5V1N7hcvjbo76awNkHPogyIV5mQBDfyJA6 bb1zayW+7qGvZwZhQ8RLwiL1YYhvXEzdlp7JhRVfXXdy2AlsEA1j4nuSeC9g 69r8XFyJzyhNqiMfLzzfSLaXFZ5XWncrPm+mLNJ0VN/kCReK70Pj/Vv1xpjj c5/ic4jFUsPHb4/vysDZDZ4IxHfxqsY6xVeNWZq6S9RwUt4YPfE9nE64OMQu TZ2eaw9nP/hj3j3fcd3244xJrwE2TU0zcfvStmhXt5wT3IvPYA9l1Zecpame evGhtnAktdNTJyoPu37DGINo1hafZAUYtIkjmSk+75edg2MZt75skibh/omS kXpvXY6WQLa9LHpocbZuyitlVWlL/3JYeFotWpnw1WVRTQHFV2tLf53vb36s 17fk4IX7Qi0U3xiGNsxsh8vhb4sRWX3X7Qy1qGbAi/h8RFFGPU0hEl+rc+lF q5PeYMeOI5+PKC7QF1/uocUOxSdh7mxnxk7LcYPxEcUFm4jPfyEms6X4rAO4 w/ayc/rv+Y5fd1+LmQh//di99W/rZNcCOuHSEPjeHaJOfNmnLc62znV19iyX GjR+UhQd0e4Nnqp0LSO+Sd7rt3XUfs9okf3Rf20j99vjD5utRr5J3ut3ddR+ z2p72d9jnw2FQ5ZhJ/HN8r6G+IbQEDhuY7sRi6/zxLig+MYbhe2PTYHDtrYb ufj67sdtxTfH7HiLsN2xKXDc5nYiXmroyZS1+Ax9i4DtjW2BW08FmFHX7nB4 0pGqbbMsBDZN2Jsv1Kn9defxsTlVuyZZCm6aOnrG2EAgkPy0Onw12JYqiq8O 2DR1XRQNjQSCyjYnOzqxLi/g6orbE3lHIqG6yXF2wMQHVle4gN90zsYNjASC 5ov0Nmc7i68+CCcBN6C7MRQd1RZbiW+iaYHtDcTXFzhss1vZ8ZfsA5Foz7P4 en+p+TXTGUXP4XBQfD3MGfjUO2FI6bDUG0jX8WA0b0loKdRy4puEbprSqvTt ohgby9osLj7MUirfiA8MoDtwiu/2oOhB4kz/emqi8XmWFdNUcNW8i6InlkEm YGhqK8X3Z3yeZdgOOCDwja48Fx/5MG2Ddr/eudKDmX4rCKwtvplQfCmDxDfM jnsaJ1zaDt0lqb2gpmlYfTfpKI2bND9/hM62yGk3uhMuZ3qsDQxrkCm/tO+Q bjhyi4xmkbUbVnwDA9+hrzQ2se2wHRKax7P4zs9GWBtha/Xesuj2Mm9lk4Wj Kr7s01ZjQwNfXn2aA59eNr0VTRgPxfe156ySQ2m8c2veAKEkPhUv04AV3/Cz 3trqk5+TO9KxSipnNwNWfBMCX6XP5JD9yqwzEaskcnYrrMQ3Qn3dJs4mF+k1 Z2obNiQFGmlUqNP0RpiJz+dvEpZVX1WzRu4bGmDm2sVkBxpYLTWMUF+ngYLV NeVXJ75hzla6YJuHaivC4cmA+4r+gAqGl6hszGrrfEuUSFd84fjY53pi4CvK bznxTbbfhDQoZfGFo8te9Y0IqWR7NfmJ9z31pGC57FXiWnxpUZ3s7SyYX6oD SVoTvjQ7Wyl3tYgbrZ2muC4uftVQtL9SF5Jp7/RM6myhzNUjbrNxmtyOfG8f q/QiifjaDouOWiBtKguJqGnSCLx/s4cX6lsRf3Nb8Wk0ADZNSoGvIj+B+C5e VTubORU9y7K+G9iepRf4EvJbRXwrac9UfOFIw9ETQiq5gtefIP5QeC5yNmsH xByzRsCKz2KNRNHhaESznS1HxRagc6WGqfiiB/HRyoFj669+Y3VCmzPcRGkC Kz6DwJHlR/FNp+XOieKTecXsWLVBh8P/OpxB5qiPhhaDis9OA6DyW2BjtfOs Q4qvKQBTBXRckJmhGu+U7HhPOJj4Wv818uexpoHDya91na/R2fjcaC4stR3W 4sm8DzcfPDSWBv9IAqwMdMR0C/o9n+r6sZqvod4d1BdJfo3i23Gdbxfx9eAj cBQBtm2s3nGpQffeWM+X6O07Y17q23mJpkTjPZ8D8TlPbA+q4su6ar+x6Ill LP4FWB+bs43VnpPai/YU9DD/7oriW3+w29DdZnQAym37K0s4vOiY7HRYFL8j YN32MtHbZVdjLzuHWXKHekcZMpf9NDQuqIEMadt4Kvd2Nh8afd9b471ikaYw oj6u6zvm9DKSujgG3Rf4abYW4JOGYtwH7kqA1RurR9wX+GiyIu3roYMDUQIk cC9joGC2s/++YEhjjX610nZYqzeIPpwBKHAHAhR57r0vGNFQk1wpO4UVH17g phJE+0mRUZaU3cH14ReYgZsJEE18SBc2zWD24V9gAzdRIJ74RgTiHFjxwQb+ QnkmRjVd1rNLKOCmCTbwA/G84swGwY18OwCbJtjAT4RYg3NUSPE5BDdNsIGX CCkjRQgjPtwOKQe2rbCB33EaCIcIEVV8puszlZ1srR8H1AAbeD05EbYKEUh8 J1M64svZr9wR2+wStg/DBt5AfjSUyFC1zgPFp1bmrJ828VU3H1Z8sIH3UhTi 9VEoI9/Z1ihLN37anZ+uk2sTANqHA2rgIyncHea/iyo+rcjbxZdqL3q8PhKz D1vdgXslo8MR/xJSazSA4kudVt9qphNE2beLXpqiM4YjX4HcaPj3PsA9n4dB O/ZZ0479xAccuBaye8LhrpuOKn3QF04DH/FVfDV34OLi22q2s4ch/2iH0OVY 8U3vpBnz7+uFZlNLiw82cBsQxHdpsD2ae8fZVYbiJ3W2lhYfRz4RAOK7sTjW YGQ877HNreCCFVd8sIHbAC4+g3L/OmybN6puPm4fhg3cBITZzhuboy1WOGy7 dX3UHggrPtjAbUAf+QzOtW3iex+y9D0fbOA2UHwtHjnhUkAv8KQvQabMtfgu 5znTJ3q0nEP2EJ9i4Mn1B2TGPIvv8suSvZKjqdlcdjokfdJn3ym6gR+8QWbM sfhuvto65z+AJvHxnm+Cu9xTHJBnOyfuz7kxfOv3/AXJSA0rPm0NfN1BZszx yGfJhDDDc42Ci+xD/Z2fAUHxZZkS5vqL7BSfCJfiM8+ksX9Y8U2rXGliM57H Oq0+ZKa5Mtcfx2552gU4sxYexYfb9waBkoBTmNMCL4jvqK7ksj4cdxRF6krk F7+OxSe4VWiB4nMISgKK00pTPZXElzxG759HsnT2OVVddPC0Vjmc7cToevOA Fd+swENefIcLy2ToOo5s6THRAamBRHypx7F4HPm2ByVN1iNfCGd9pCPd6ePS F49ifCtxTPBFKL4ZdLYSJU0m93zxoHYenI73epnjb8V3NDK5DBTfBHobiZIm 4wmXMF18Q2IvQ/FNYFvx6V52xvOZj/jdL5mPv08oPl90h9hvACFND+uRL1FL TpLfl07F52m200On649hU/F9x5kJjjL3fJnpyc+zgqYe3sQ32UHs7Nqdiz7n IAaK7+wpvZAsie9SUzVfDLkP5+BJfCBdbj6Y4nvoXnZmNVj4NCM+0TrfoFak eBIfeYGSJtMJl1R88b3fSXxfcWa/kKoufz85GIrPIQhpyt4UKY585y0tv08S kR3HtfBZP4++d/pi/BBmVoPicwhCmn5jtBVf9PpPJXFAIcTf+R6XhJl+8Wh9 apf1NdtJ/sBIU66aipedAyzJPx6Ll5EPortpgSE+xcvO7FJDt6WWz4fiRHwg vU0JFPGd4cgnwYf4vHS2EXGMMOElH1J093Z2Wyp/rFMAH+LzwojodhbfMiMf xafPEOGMsOE7TUVgA7eBs50HnAx8uH0YNnAbjEc+FisHbh+GDdwEW/Hh9rKp wKYFNnAbKD6H4KYFNnATrC87Fb3jACs+2MBt4ISLQ2DTBBu4DVxqcAhummAD N4HicwhsmmADt8FIfP6KNCaiUVbcpacS2MBNsBGfw95F8Q0ANnAbTCZcHF5+ DgpokBV36akENnAbrEY+Ra+abC6+dQs7hWnZCh/i955PJjldBFjxwQZuw1zx /ZrPiY9cApsm2MBtmPhPM2WdsTgVYKYpEDHzapEtzyx3KwGaJuOOjMjEWuSq M83dQjBNpJfcP27FXlUB00S6ifqQ5eiOh1nNyCqk6wykFruakVU4dCPr7oyF ZdHIIlB8bVjWjKwCuxEhRvAkTog2bn+5R8jqLP77BUL88pw1oPgIMYCzdoQQ QgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYT4579grXXz "], {{0, 0}, {893, 391}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{1200, 400}, PlotRange->{{0, 893}, {0, 391}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417708191471808*^9, 3.417708225597138*^9}, 3.417708939697003*^9, 3.417830033836371*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzNfX9QZNl13lP/otlldltadtXaRRKtZXdpLVoN1sQCBWUFFpIGCymDNJIH BVsIEWnEYmmEsMQitBbGs9IYTxyEp8oY4zIy43gURgoJk5gI9IOkSTIOYweH iU0CiomqqzKp6j/mj07VVOrlfN+59/Xr7tcwK1upzBbLo/u9e7577jnnnnPu ufd193/h04PD/V84P9Bf/97P93/u0+cHRurf89nPy0fhVzlOeMpxXtWUcOT6 fztVP3Le6Np/L7uu4/yt/fWs/A6PXHfq5bd+c67kG0e/+bDrhtZvO9GeS61b vTfXb6/nnf9T8U6nynF6ruUXcn2zK8nD5GalWz+EP1OR1mx+wQnjOtvmOPL1 M7ieOpk8lN8P4Xqghtc/KG0mPeiE5Cccb98ey03gq7P4ynEGmuT3U7jOL/Te 2V1zErhOD7Zm5bbvB6AJ4Xo813V++WxgMwM1HfFcn/Nq/Xx+R35/L6AZ9mKp NhVxD/DVO+XPSLat+Wrz1datKv2u+So+BJOmz+ALtiWUFMJ6vvmqQIzieqi7 NWugVW+fw73NV2dnXDc30XxV+B9SLrG9asU1fUZ+49nI+C3cvXQqji+mLyQP BbwF/Hp8tnrFcYTdABWb33GcxKLrohMRRek4+Q3c+3fx/fgtx0luJjczyfxG SIZTKOUmLNOmz3gMrM62CcX+bJvrTl9w6gu9Wh6VJ/qI7ERHPN4OQYu3O/XJ zf17rjs7I206AzXKPXkG7cWNPNTPrhDTA44TbwcI1x2/ldxMLA4NuwcRX0/K eifAYmCzNOB0xPMb2j8SkeHBgLoHcv87cH+ur+t0zyXeHx4aTjXszpV1Lixw D4XtYWV7YOdihc51xKM6Jq1b+/f0Rn/PEpOtW1ZeBGz9/F0d82xd81VhNzu2 O5dqCOqYjI6OcQ6tZ+tCVgC7Tjsh+Qn3XFq9Ig+a4QvnJlaviIZxqIUtFwAQ HQtrrzoarUCqwLsuetTR6BjuJiZlqEgDvTL3hnGH0DiyY5mW1RsgajlmP98+ lzwM6ph8RiYIbWOQ/n4pZtKTkUJf5d6QDGgURAIHoV8HIQrhwgerNxx5oNoH s8YHLeLrykYANELPb+AOfHWGX90AOKKKAV7vTdcFulgpOw22sGLTbrRuDdSI loWNramxnwew80Fjym46RkOzbcIkJ5CFbK/nWkdcZMqwMCIaXg+p9oAC130D zbbN3x3qhhG8P6Bo2Apxtq41GwQ0MSnPLKK9eLtolXz1ARlOflIP88JuvCKo IBfLTeT68B9glpkTgxHXsUwysSjUHJiR6FEj33xRoagZd+ozLbk++f69oLg7 l2kZuSxSKV+EIYZGwqssbmilDFS0FLrITRmXMy0wnPclDuhq1D3ItGRanPp4 P+jH9VYqXJD0qhImaD3kq/eghfXb4EDrlihAvNTaTZ1MRaR1ooEFNdYuAvSO M7tiFDx5KMbBQIaW6sN8oEav9/eEg8VaR/jgm+NMJZZO6Xe7a+lBEZoyQUk1 EDtmVJmE8gvyXSetn0xKu3PZtmofcgCJ4zZwcnZFoAluoHgAsDPJeHu6c38v 3Yn5ZneNsOfvJjfTnVYhZfKq0+v8Qs+1ANhhWB6ZHR70sbbSvBoWX8JRt+Td avaAWB+d30lFTJNV47lUJBUB91LolfoBt1MReTSk5jAVkZFDk+Ir4d7tMb/I +id/7Uc23m+NG+z3EXN/EEYRWvMVBTpdSqrnmp+UUy/CHNNnCwI80FTkI5VK ooxmenDkOifgd/tsG9vpOk+/582ldDPJVMQOz/YYjK0q0f494cg5HR6ZD9uC 6MocbJRGLK78E6kzShwX3RFXRKbIDVGN+nh7xCdQT/kwPIBrSJ3peyS/EG+H iIVgxKEIMiGz8xBVsVg/KAUB4y2EI1Mne64JEzGpdQHU6g383XMtk9QOrV7p uWaJz+/wmkIzcpkDQsHpvaPPRBUtbyoiCF8MxORHRoYPqof/cfdvHEE8LaZ6 d+0CB25jd0386yElubvmcr6Xb79QuL0BHy7VjufSg6mGqZPLZ38ZH0xfGGgS +9c/dXI9fx6P997x5uHY0qmpRLoz3Qn78Hm0tOLqZLLVuuV8Sm0Pr6PKGEoM R673ZuvW7IzzaZWY1i0R7q9hmJdq4/2Zlv293bVMS2JyeXQYqhdvh9XdHluq TW6Kan7aB0Nd+VN4yAnt74FgvF+0Bb12voMW8xuphsTk+K2u84nJnkvuwSf4 4QLmtvm76c54PwTcOCzwWyk1VbBCiUl4vTTd/9AKhyjpyyo84zkhyb7E+6lp QyqFeEqlXxjuyD1lcKcSVPywWpCpk/L7cxaueIgC0rXWzXGkL59QdStY/f17 6UFRrSoV9YKaT51kw4OlYA0Q9RRvkNmfqwCQ7eT6GLpEFCDVkgC/rQ+Ji7Jm HfShYYlsDj6udyY3BS2fGs/RB6WhWB7d37PdlUBBQiPnk0cjbL4onx+JMNuW HqyIUBRU5g18GVo6ZZjnTfph+OOuMbtine4cD0fsYZ3zAroD9uLf7trI9fOl mET6nPvABHFl3EamiffnebUGGZmWm0DMZV0OhknHDKsPZXvXaYnLN7tOz9/9 qaKsguYOdbsuhl7uKdOSCggj8fbpC5nk7MrQTxNdDPdnkslNGIRPHQ2NSvgC lbkdjqNe+5FB4e8TWSpikS2PUiHLRjeTHBqWez7jAwXr53eQwnDfLJDtMaoT BjPadXp7bP8eoGm7Etj4n5mx1oTAYIoRE2gPei4VrMl4rqBLrVmZPKvs/dKR UmBxYePheG55dPmsuEEN2+dglmPqfM7O5PrWb2Poo5w8OtODBlo80yKukn1K bvWMclE+p5KVg5Njrdz2WGJRcGEUY8ujzRebLyq6r+OD/b31vIS//dvn9vc+ 6zKSFNexPt0pbsCn9Wm0q2Hn/p7EFJOJSUwynLL+GT5tzSYWB5pat5KbQ92w BrHkZmJy6mRiMbk5fQFuTQyIM8mBpuar2TZoYgR3AIKYg//l2qkv1zfULfym tO3O8fpBFQRehzAWxj/4pL1H+m/bOGpOXxJzJv5xGDkdl17CCyqLy6MyJ8qf GBPnmxTB2t47yUMnJL221OTnPLsvkpOYnD6T7oTlYxPOIsZKZLp+dy43kd+Q 2UGcS/kSUlAV7x+/BZK5idascFU+HrLPiLiK+9tnkoJ1PZfkSRktkcJa+X+m 5RHXBF8SjE08ot0F251HVOwYGNXiGpGIBJS1vs/5sAZPmRavvTCDnQN26dWa WAjDhZU/v6QyE+8X/1BjgHrOO5QfifwcYd6jak6p4bWl17mJTIv4hHId8lF5 DZmcp4jWqrgS36PaaXnEPF56LeJba/VTgstf8bg2UEPFNlxjlFngmqMdB175 5go5Jf6TzFPKNbQm/kgZ15AcdMzDGEDvD2iX+SMMbhnxCWLe7IyX9QwjNWyZ NzRM5tVaZRXbW6sGhXGqcCIkfnQYuTvLMAkrYexrLfNEe2qtoZSQstazTcPK SIS8lnlI9Ijb5TFPfheYlzz8/5R5rVtBzONty6MFxgTzD48kN0WV+LmZKT3m yVTjMU+MYK01jqlIMPOky8HMM1OKn3kR27D8+3FpnxKLZX3SlOca7/+fjvPF v+22Y7m+kcsjl8VOOl3nfyyigtgV4nB8L3IT63lhVwyUVm/w+q/W82UDFUDY xOyOk+50D/6HZZ0gLxBdvcG8Sdh0v17MZZURCtcV01DvkBB8cbnlvxQLyJia IFgUM+VtUCiZphWBRKqyQLdoyCgLbXZ2h69l6DJKmZ1hPO5MX1g6JVPlX2jb S6cQf5fSdxw6OZqr0IQW6avwL9UG0o9n2zri4izcWj7bcy0xKeaVxE3wx+Sm g2QNsgicvIWLpZSrJEYc7LmW65MWFoVV1QWqjlNGFRNYzMT/9ZmW/EY1KUbt xxB85Pj/XMdMdEMss5/ki/ITzW9IZNcuc+sGEwIRJACKyCUWldwKW4+b/sQ1 2bWev6Vc0tDK1zj8DZNcC8CujYFgbHaGiSlnaDjT8mfF0iBtRPAnpFj+/O/B rcBtiOUX9u+hh4lJcZ9wXyoyf9fV2L0EVRS5Fhi1rtPOYXCTWKSLrefTnQTW vTv3Q9wH1oh+MQU/v6MJEBmd38DfuFV6W+9vU6Tf1yZW7MQRpDsqArZ+G8t2 YXX3VMfyG1joKONiDP4w2hZ3cuyvbePyoa9xrONVmfnWgd6KdH1PNbAQz+X6 us4jB1faPpx0tA+u/HUwQ2Alo9k6kYV6mBsnlOtj8+v58VvafEmr+DMCc35E o4/px+SIPn53d04+o83KL8zftTk9pDcCqTgxaPUxZJLymLCVkp3u7Dq/ohLL 8IkxxkDTel7tXGnzVTKcbB6pHpl0PAkUkfVReALcwfyDfzKBI6CIqPCs50+U NwtXkM3yi2wdvzgIRo/cVwyJJZ2pt8eWVRSZjixvmwtIaNpMjRV05g3oXG5i fifVgIz0QJPMsN/CrUun2BJzg8YhLmMKmjueBFa8YrkJnQGTm703kcmPdJ3G wmwAp5G5R6P5DXG7Fys1+qTLAMP6Lbtzf0DBntg+Jx142KVLo5GAnwCigups Gw0iiWRaQK5ARLTFR+QpamoCRBKL47ls3QKl4wCLNrkJsga2xTVp00oUo4hR laLOJZiq5fePgrv2NKhm62CcMCQd8d9zzSoBqDJh3HyVa5tMKMFjD6Sa69se gytxf1TTaoIlBoIxu5utmyOBA1YKsKupBrZdVT5mYSw7WDJIJDdfrEQGNQWx oW6V4tmZ3bVvBzQHfiFu06abL/qVQuysr7km5RUMF3S6o/F6oCLE1J90XbTm IZOnfE29FU1hxVonNPfgt8jpi8lNYX0yACVqOgoo04NyWwXVbabq1minl89u j13WpqG8gU3DLbBNI0kvNr5C0z9D5epDmhcM6L3zm9o0ljjM4uoGfT+zZsnP A+xnGHOvkDQ+HlMd+8EkT7mcZiWCdhAbDNT8BskssK0HlRsIbGymt8LEgJxs ZZLSHR/Jt1PbLyMwgfO6O/fbuG93jlrARDlD80rzjw0ntNpB3EgJKSp0roUS fjB9Bmt7ycOR62Khv4FbkYfX/pX1A8GE7QcCP9HcCq2/g+LahpQdYpGu01+l xuQYUT+kI1SRDCy0JQPjUJnMO11NNTXQTT21vzfBkWiHTcc8UtY0DKK/abn2 mhawvqafNyORxfL29Jn9vRf1PvpYbwhoGlbH37T885oWU+Fr+l2qyxr9pDtb s/TBM0m2FdQ0xME2nV9A/FyJIT/n0lnVuGH6Qn7hZZ/IRtTQ4a9SL/EDrvsw S7gO+GdaBZpUo3bk5fd/C6aK1dxY7x1V+6Xa3bnPqtQuwYliaLt6BUZV2zIZ 0gAE+HP9dgEBXFY/AgkQKiB4j8rb8lnk3dKdPdeGVcaYbyQCLB7ZZc712yzb KEfAqA+J0Ij8MBEpdiuKa6xJWljIKVtYu2upiKiwB0tcOx+s97mMN+CiMiR/ QR+hcBDVyHX6fwYVE7RBqBB7WvYN1HB99CTR1hMJH6cBd53/apFIB31Ifh6P Q0QZw9zWLO7SKa72PRlEcZDXZpGaFJ/D3/v3dAqqRLV4WN7v+sOd7kzL5VdA yudMGFJQ7EqkEP2KsUbQj5goefibx5IicpKyz1lSmPFkOqpAiiVNEisNahC3 O3cpgFQqwp5EtPmeS1gKFRP7VlV1kqpSgaPjsWdJia77SPW4/hBKBq6PunCS mqWJHM0qvDoAwkATZyQG5KtXuk4jv9QRn0o8R8m7XBlDcXc/pJzdPicCzEjr Y67xfmzCCasfqullGHbnuCzLKolUA77ZPgcDJhP/W3RQ/TASi6IqFWB8xGWK WgOynkvZto8y6c0sF2q6JM5jCYz8hiMeLwcT2V2DTUtMhpA1kS/rl2rVtYTl GqhxD561+mkhQRDEalSA9AuuLoLXqI+3eoX6vTzK0SEYpDLKwXyQJvEG69D4 +UATVd+sftNhe7Z4Ro8GoRFD5EODul+Z0VevYM5KTHadl9s/o49hstUKDFPi VOLbigyJia6yrFTyupDm54TEBx5tweGj3WfyFhA4+RTKGMaylPxuOtJT8fol /ypw+ReVkV3nZZT4KGJC+ey0gVsjcSilYP8ePejHAmZQlMNKTzgmmFXk918F U8PaXIxxYoRxYg3JDHXP7wjKR/X5oeFyMuJuiudL1ZqduV9in3B9EWNisffm e1WC2aJZ8UB5m/PaYmIsu2bU6GBFC2rEzzlqGlcWyMv05JGXTvnIY62qKLYc LSbTQ87fTTXIHaw71Ei292bzxaHuJp/6UrSQOZDffxnc1U+pJQOt5Ob4rWxb m+ra+C2ZqJ7RoRy/JabigTLRhAPTdVoiFhbmKQbXzdY1XxSX7VmfMTsSxosq IulBsdsn0oONRIUlwKpsm7r4qYb04NRJ+q5hhIdirgks3dl1WqxKELBcX88l U/ruAXMPxm9ZDTKW/nhgEAEZqKgMEB0v+S3XT7Nz16kdQntIH4Vkqibs36ND /bOm7tIIDquOzFRXAfQ1W7WqoE3N3wycL63aQv8tcNi3nksF4OK8+YHLMNxT PV4+yyXtZ4tRi7KEJFqIosn0oBi6A+fv8Mk5LoqdChzvjnjpeGMStWzFSoag Y7QObC7T6opOCPvRYbVSJ3VsQLDd29+jGyOE4arGtseQ2UFWZGj4A/p9R1zM zeOB+pAehCXyY2vdYp6xxGbHg+CVjHoZvCbKJVafxZxoanp7LL/BbiPH7TKw YS1Tu4QZjwcYhp5rfC5kaq2br3LrRZPreqG8JxWa1Nm9D3AUDQWHurBYzzVE XajqyfWx/Dw3ATdv9QrRmXng8TIbKeAod1itcNWfju6uITtYGFG0I1Pb/bAs MSnOuaIa1YHEnIVF1YEa6G4ESoeW3xGYrdJFCksXmSc/XZH7IgWtF+eEqXCY G9HseuH/s6SNpS5xkRCjIFOwPPqUIQe/SL5rDaTuedKB1MWskPo4PzhDB4HV sbkJmdrr9vdQI5qY3N9LEwJAxlqzNgebrXuTyjHjVR37Om75qCmXaYmcNOMw ctk94PBo6Y4qm4k+uVYCkKiJu106NkAZgcc+cnnplFfib2o9UcEoqr+7pkYX 98Z21/A4HNKRyx9Uq9SalZn8RAC8+bsDNepmZdvM0l4Bnom7H7SWSvQwGF1u ArNVvD8kgqtpmAO7yYG2V8GBRTGwTWeE6QvdykdGjCfKbVVVbgJlGkjj9lyz q3HuAWqYFJ9JOZhSj2B8IBrJLyBGSHeayl2uwj1DTL/qck8E7b443dk2riPk JjoaZeJKqcEcGhYlen2gtS8rRNeScM/a+21WtYUpTPFgCt8I8+tq/3jj00T2 VZWekevIyjVfnT5DDwneFrinQ8Ks3HHIlkfZ3xJkXn2Bxz35V8Y9dTB+TfVf F6lat0auP6JQphJQVQpyNpOUEXpDABQzYGbC0b0mub6R62rUvRqRB5XvNCpl ML6qg6guAMIQW/WggwjXNNZ7EwkK5JryCx8OmFyWar0S0RjsK+prEDlTgU0a scZKuhtguSEq0aVa5Asl1BpjmCMdZwCgOL5GHHe4DBKZv5ub4NSdSc7fFZlH bsPWGr+7GB+Cnaia0947MsKEpItRBUgyjXqQ5B5CekkNGE1mSCW559ry6PIo iqpU6cwipaatZHLV6oAW5ugZV6Cs1KWv4E0dJ8rhCdPRLmN6m1quUR2M94sZ 86CJkBDaV6y0Gncopl6T6yJuU2iI7cVQsMbLqYfnn9+o1tywOIbMaj10ZIRD mTH7D/5z6XAZAExWUw+MF0A96Drt0zSku6PYT2jmDIvBLFY8FCjUqzdkQB6S nzBcLfmsQW0LWzihwNKdIlf3DUyLTpNc/FZ5uqz2Z3ZFJOoBo/RD3QyBE8cA 1GnfeUhltADQLIsYgFg7rghQ1OWgHOD8DnfRKMDf8pGKG4CJSc6FBGhSew8F qKNJQUVlHgtjZu29o9es7DNgzZLQCde4V36wwhJPBaKYELfHmAtDgji8frvn kvxWMfvH5CI3NmCfkdqrLVZ2vinQCV294hovyD8ZshhtVDPspqjjL0o595LK ANbYwQ8ffV3w0yoZtYFcNrWU3xTkqW+M58Q1qlLtG8+JLJV4waaYuqNRhqAM i9jM6u0xhTBjZdMGtVgSlM9+rvLUoTGub7rw9x9TuEAro7lSoDZ/d3kU3gB2 xO7vYW+qXftl8u5dFWRWzIepiLWpGk8MHnKNQ+GnLGJRkNn9PVZvN/vZzqVt 7u60696zK7tzz5eTl/lFYpTu2RWzIzPdKXSetXT89GV4PfoyiZL+l9HCyPWu 0+nB5otx7DOFV+kpyrzLdQkNhRD0mtiatyQCpBBbXSEvaAk1uK5x6JfPWre7 gEf+lY3ElynltGgwHcjs+Cze77vcWMNv0Z203h2ERqbSKl0j9WeNHyZ8rSbe qWA/UHmlpl/7qU6iCuQ0btldSx7KPPQa17+yObo9xn3k67dZUsprbBx1yxKx JZPBCQtJxKYSJNrcKqWN+ciMDtFsj4mQHrIAEUmqu5ghkaRSS6vlJ08dj2D7 XHJTvEkPgfjQBQTitRxY3TIrR4UpKJwepOWsVQSaOElM9t55SC0Ab3+qfHQS k8+p8HNkdC9/JzfQ/ScLQjwdn37+kVuyEqpbH/pY8MMiXONdPRUgmIglYEXk 6XC8PbEoVknTVVf95LF3vUDeZ5KAc+S6DJMMlQZ4f+xq9gprpZtYKw3rQLJ2 nD6W7gwNRDN/t/eOzApRvR65LtwmGuPbJtTEsvi1DM2vKs8LnlC6k+vHKqEo UIxjzxbd7Qi8voGaKtxmdrU0BFmwieRmwYIV5g5oqcAxByRAHZw/L4XDuaPn Uipi9obGNPGYiiQWV280ev6llWLGoKgEtwpu8gInVLZoCB+5b/PuF+OHFSWj Mg9letAnxlQeo9uKEm7dQJOifFmfAZs0X6ZLvZgQi1GakC0YZfNVkSBNm/uy UyYiJSPhFMukVMZIo+scyyKI2KTc6AUMAmU9L0r2jA4W9+FWlUNESB4I0T0Y uVwYa5ukUqNrISKsqAAxtFRLV9ykl+lbFXml3LDBculiXDVK3NYzB8Q5Os0j dwrHSkTf5CiKccm/YNZh00np6O7v2bQu9m2E1VarN1MMi+W6JbA+ZMlY7wOu vlUNuEUWloz6RT8s8Vj8qtFzTVTdpxo46mPkug+WqZqLqTJj1ihdgBV7iaWX iMwtp/Dfcz4Ir/Fx488CIYhC1EtjoXi7hRBvx9pWoxcl20m0ibOmBF6sEpO7 mjQTJUpxIIHdo8WoPqqN8/qtxcqYsEASiwVQfnsa2T6HfKru5BYDxAFo9DII YaTOZLiwIijRISRsKpHfGLnMpcuhYXUR1m+bTdOa4lOzaxC8OlD2WeddjRM/ zMTEwtn1vFikBqd+Pb9/z8RZ3saiWH5hPZ+KtG6JNucfsPovP4+oRMXbRRlv lXZxpdATTFCuSbhlknTAkVKpym9MX8CCcSoyNCxC7x1NYqXNOGKJylFStVOo jgAyHA7hTF/YHsOU0nzVHCKyesXbw1+Vaek6jRqQ6QupBpnMmNoxmXN2B762 jHOF7nxHB4YZZ/BN5hnVyORh13kcDkN9d+rpuwZ5h/v3qIFRbNxONaBYOb9B BUQI5Hpb50Yui/zRQCU3A6vQ7VoE18P0gA5n22K2Jl8xf1ltCDF0sLsJJkQ5 95iV8ocDZ2imyHWHxZV4v1iWiD5OpA+WIjJTJe8HAZFID1ExF5m93Z1LD0pT KJMRS0SXJn4sIgZ4tfbx4xCZFTD/PpyjEBn7+x4iyhXMdzAi4zakIjKVeAm+ EkQxRcp0sxlB5JHMxrp72Omt3hcgcvNMqiG/8R+PwLh8NrEoxuy9bsGWU1WQ STlCVY7BGMPCSWJx+xz+T7Hb38N2bsdv0B6xZkboexClcR9EFiVvn2N/H1ND KgEr8mmByCRuw4amauTXTMKh+giU0UwLtswN1JizNSQO0lo6u1EN4GTe9cBZ D37FW4+webK3qdSx6cfUonmFB2JbNanaER/qDhZD8j3usz3VqmMyCgECkGnp vSlje8J2zcLF/dJG2XC/ZO2BnRGNG60hz6+ofjHJ9jard2KA3wiOmAVGp3zN 4DOlRgZRihiZuHKCFVc1xTNYrX1EBO1PS0EybM60wFxq2BzR0p/tc097K08M 6mRWYZZU5yuuzz1YDi0OGyzjeW89PzsjhnGPgT8KyWZXcBZDpoUTD9amhH2v xXW8PT0oZvRmKTLoSZQbrHfmd+QG9DC6uza/g1PbhFmvU4PG6p7qYqwiQMSa X8CzxB4aaKouhosF59j8jszAWyjh3T5HWYQw9d7kGSxEiuokixQCMztTQGpT Dy8aTeu3OYFsGwqwUBTsbX8uQohySC0hQrmAq3NeVJWAuxHi5f5bpPcOcjjG aTXPkVp+I9uWbbOHMPE6lG0jelPuQyBmj/R/sOht4uZqGUruuDEpR0xqsfFb dAtRRrEWDVzDSkWaLyLrHrCGZcooiAG3iA3zMNixPhoDspeiiOIzagF/uNwG VeUXxnMoosd5Pt5pWPyssGRvURgvtQyFODkxnKekCwxOXRmoz6rp4T66t2tL zRfFKD6uiuj5i1ETtDboWvoxy1bMgxyxbPWY9oU73sowv6Tt4WQYViHQiRDL 7gdP6+UeZOuQ3jW9gAaK2/12NZq09CjfixY2DzjHwA5abVNzJHwmR1LiGgl3 /p3F7M8Yi88/1G22X/EowdUb5ZjNHsoCZpQqKeapk/RFm/VxTqEB89L4LXu6 3dKpeLsYObPxfiphU4uIYQt4Wc3s4XX9QRlOo5JZgbPq/A6LsZ44Bq9ZayJe VHXJb1T6R20aUvryYbUrbM5UISEycl1kQuloo2sGYATtpyK7a1uBCE1egjOB CWQfL0PYIgFUPRD+KGAFTLdNYCWoqKLiCTuwQj+YtIQd8MzV5bjHEjJoWhTV Hdhu5XB3YDBVsZwSWV7CwpZf6l+ndoQurkdUwPgliIeYUIJyE61bwlQ8FB1o 6rk2nvMRfUG5wKzPhxUik4klFRxcATZl2XUqY/Q9Mpa6TCt+e4/TFJwQTooD 3+R3FNdY5xNdJBI9U4AFK4pkyDYrn59VEZlKVEBiStSBJJLfgH851P1vS7n/ onKpNSvTMnbyYjEO1yH8He/HdSvXR0XIeAiRGjJ6ETKXQu1b1DpkkqIKTyhh fh5UfSMTeNK6qka6qUWQZ8GK8pgILEPX6VzfvynFyhjSnNqlOlnLa63xWLIC J2094fs2qExJy3WdEM7QxCFE02d42MloU7EIefZEpKsMzUqBaiqC42DBiAAf cXZFTIWvQBCuzVA3bF1U99ux51hKirgHGNpUw6alZWsLlNYn1fbQVo0Fzgrx /vXbJYWAbYlF+SxdQo5LaMjPisP2w0CZQB5CPjwxfaGxQNx4vMHEBzSB5Faq m/Nzlt1Fa+nO3bkfBAIwOwFO2AUHA4AVC8EAcILr0YV7qH+Q3qc8WyjTy/cr UbcVTQwf5fdbCOOHOghs/4nAAV86ZXIYMTsIOKykRLQ4ADg6RD7zENiqpqPL 3z6uPeEnz+tQ0WuvU8lmjURdALL1PGfmkIQe5jwmiebbl2ppqc3GL2yo5NQs SvQ9C6uk1KsCrF9yOZOmEci/S5spwDLn5dUFmIRMksuatiBPHHavIM9UKQBU BFUKKGjbqDBcFVD9oh1AmQdYQ2OytQYVVzJLUKEQL79hjkMtmCgzlyHciugm +9259fsAk4qIC+kDg4UN4TBZhE0W8rstaFuTJqGRfpcGYK4yye9WIMdaXxbf oTIKtUbiqD3rJ8lU+rtUPiuSxLgLSdTV8vBdODz/2pIUHhZIugeIQTR9gZ0r MN/Jzearby7QzE1woeylI9fbuO0pN4E5Ot4vDa5ZaoLfX9/HFWMWy+3OSfS2 mW3jHxBalBg3BrkGX3ddr8SYNZjZNp6LOfcnpVwc1zt51qfECWzEnDEQsiMm YVyjt61BphbWePx6AEWTa4LBjWjuf/nsvyql+GUdN1tmC7VlrXLYMtdx/ORg 8WVAgsiZ4Ij2PdeHZHViUkbjX5ZS5M1mFfZpf8s4vok748SAcvHyjW7B/Qva JWhCQuiETFhwMvb3blhyxSX0v6Cjx2dJwqmnm2fqJkCktOCsR0kw7MbB3XYH ekndxJtpEsY0HFwt7axSx4Zpe/gxO4W6vXKKZ9TSMGvBRFW8veu8WB7/Jo+3 KDmkwpZH/0UpuZddV2t7yoUQxZsRYIAV5akhupfKqS+ZEHVy+ecBTYNrBMRT qZKHHY16nfL2H4musTSFKVSzh6UjYLuRJlQ0/9R1vvmiTASNvk6+lfq1BlOz nl+xSOxWlpd99koDuBqK7JMFGKaSgTAwC1WAgVSJa1IP+/d41NQzlprAQJY7 KtOYxDEDTQL3O/Y7u6HnvpCM35KY9t3aU35bUijDKuPZGT0kWagiDozoYkJi 0iPpH4aqxCSWZLFohSZhu4TcnBpOK+JlJLCz0vhc3KSNqhB80tGYm1gOJDNy 3Z6jLKZtw5D5URkfH5ZAM6y7/tW8zd9F6ml59JSSxR89l+T//zSISkz8wkns 9kgezt99iiS+q5LE4yFT5eQcp3j7qTnh5Gd9At70LUtKgg2S0uXuU5gETdby A2ppuLg95Bac1nKKtBYs63HpvODgfQ3Xzd5k6HJEPdpMyx8Hak5+Y3ZmdsaY UtYq786lO8Wev6C2gS5rEOmAbZcnixUWQXl0aBhmY3ZGJP+PSgH8umuKTTGT TyX8IGZXCscmrt9madD9g/BW3bAVJ7q7BgFGTK85sNLUDk8ENqe6i2VTpwCL J+oUDWIF4RjCHCsShm8hhNtIeI5BKxYh/tAStrtqJ7D58KxWlMgcHeq59hzp nlYRY4f1uq/rtEQg7zsWA2uCiMHsL8bm9qioCLPjMl9+02Kwe4x5mlG2rfcm 0l4IaJdqmwsguk7TIzIglmrF8w4CgQMwjQRGdbbBBKD7VE2g/zwNCSf63psC 4A9KR+FFHSasbGLBELn6sG5+ZjZT5vXfDqAMC+Z621NnZ3igWn28/zmFRdLw 52ISDzbqV7m+3y+lvVLosQnKNa+kuaQ3BdBFlkZ6Y3wtnPi4eiWk5oW1Qnt0 zM2uB26o5+mG4l5nkvmF+VIADNnFH76MA8nwA7a7dnmbwEyY/llttyIwiAq8 JTSCKQorDcCFhRT4v/7iEtj92PptLVjovTOV+F2Ly541oJVDPChdkxEGlxqp NR1fLiA+WT6h44zZPeu57e95W5npbdo6F7OzgXvv9/e4ubw+1ZBJ/o6FYk9U gJaiaqhBwqyoSkViUYZAWTSLT4yZZ3Ams+dYOax/oJzkusCbrWgJeXAYtn4R nOho3F27UjpCXzFWcdDmJnH2qMeJb+CT1SuMZ7oCnEFzFlWXPki/lffgXGv5 7BuB1LDtwC3OMz7tHdCAc5azguX9NI55MTAL2J9/RBABXAhGoAfIWImHNRNA N2TeFoM6Xq9/XAffvwcpV4r5De6aen8xxV61SHRvqnTUraB6Ow+48T0xqSnQ oeHcxD+yICTs9o809TCqxHrviH/VWIBiliV/N5B87x0xbqHeO6HWLJaV7FIp QZj4nc7s0qneO/ARNda3S/6XggyTtMHcKc+hhDbIb9Ris+xDtDwwsjJwCg7Y 8llWtNOLMzE73bD8wvJZLJ05XJgm24NRlOZ6/kQ/pAlsuG/ifqH4kO5MsBmr EHLWhhEXSyEg6okDHc772T6H1MpQtzrkz6tE0kn9otoMtnEcqPFbBIXo3V90 yzX/rtMdjSxNjTgh7D4w2+AmLaziA4n+nqoZN/9/6WgEVUuntJTLPWBGAIG8 TFsmCh11PqY2in+H1B/AYXYFyvZUpa8oX7lNQCdNTLei1DhNXs1xti55KErX WBkRqOFA4UP8J+KZdl1vdUcccmkBd0cSi/h++exLpaPir39meQ8ifbdoY4VZ KfhgOWGRa5x1rKYYiitEeaD08ll8noqEEHSPjQcRjc7v4E1ZnCxw2B49JfEi GguEpxLkzQcD5imTOHhIJZgZsGdUIgjik0ayc3ivCA3llyrYSPq+ZuUNDxv6 zLY3X6RqaEp9zk5M5e5LO7eXndBGUhEb8JmNADh6WqLa7XNIhwMM1i5Nyuvz FpU9C83KBCYQ2lFz1lKDKjpPKQjpGU3MV8iIXw3yL9ZwwrTDQyaw7ux6p5di 3RnDPdCULlZlrDVEeq5h8Treji+iUwncLA8fOL8caE94IrGpg13Ps0qLO1sK +67f7pP5Epww5FE9VoTTdhTH3NBTEKdDPnmz9p4spNeCwlmRF6woREauI3Ux vzNUwc6Jpz5n6/751rI3FeNqUYNDIEvliYqo2bYEt5H0Zmfwd66Pgm6qIpBi ieb68MXqDQEqN2Krry3a/GQpNC/JJn6ltwH2rnU5RDCY3oE/5bOzfi9Azy/U 01KZiTBOlQnS+4MMbhQZCCTH5P/iyLNeses84yKNR3+GAqevQPiIDuryqDgD lODEIgUxCIye0ai7RgdqkDnpOg80EZTzoL2PWTj21EaIdhS7WvFaC2ywY/9V 3XR9eJg7l1jkCcMgQ9joG6cgFGbvn/i/WOYwhwsxMBZQHy1liNwWyi9EOIxC FEyIgCjIflQVPtcn0t5zpCP0a1SmA7wfavWKdBnbw6w+nyklWTiTLqx7OpEo KOuGOQsU2yuiS6dQp9a6Ja1CorDLQBMi6sejcXF6Sxs3tZtBjRvnEVvQRAKm TuI/bRw2e/wWXhaELAf2z7muZnNARX58VILSvsb7hfMcwytR8F9iciphtkvi PUk8kZMVlnLTO4O5g6SjeHeWh98JoGRyEQscpKt4eZETwjEViclCbIGiWZzp xaYWuJr6XGWCeMKs7uhrh8a4EBebvsB06vxdbsZ9XOWPKpk+UioYkGaSiECR sNBNg46pKOu5lJjUxkF0/bbEp09VhKZvhxJlN1sPbDMcfn8ReaoheSj+x+Oq CJwqyzF6eYxvqTVkPTKOTRVh584ROtp4kYDMClFRS7yNAKRebwGKppcChEfj mjI8UwHarcB5XvUJRcc1KoOOkwNO/JGuR5d57G3zRbkuWdt7WY0vyBH0d5Ua VtCcKOfy+kJ0MHIZORcsEyWCmWkqULjEaPCRih+fqV9AWwzMqvfvIZ+Ct5MO dcPSy/OPB4CcPqM1qwJyU40z4i0ejRuO9zOIjqqG8QVKyP7SzMqMHA9G2+Lj IIMkk5NnuIhqeDTdezMk04f8osHWkqON1i1pXc96uss9z3rwsKarjwHPSkO8 2dG+5Yl5HrPRJ97OM42jQjmmyqILlT7UzygvC94YipwktPuIQuPMj2pgZhNE L1jZZaqDPchu8TtIXne0UOxoEzhFkFW8YVORF6We1PN1WvVY5vXB5Ck2mB7E S4W0RBDz4hAnlvau55ksM8dL4MUc5pVLRkgU9EYhnj4etF/1cOJtbGh4fgcb EGA0v1gGbDxn9vBFxO3gK0I7VUqYtqW6o2TOlu0bXE++Aiym6v7HwcL3tA4d uYz9HRE91nv/3rvV5DI7Cb2p6r2JxIXrYvuCtPmkDgbeLmdOn59jmB9UKgMR qAyBhzFhYV0eQzowiiwD6MgMQng4Og0v2cOMYnY/B3XUFMZ7VGyWvHBcpy01 QJFRdDznUXnKjhmq6njf9fFcuf6XWP4Kp5n7CTG7iYIxkGlQjUtMyvxy3KCZ gh2ub3XE4RZk60z6iO8t+1owbXrheJWKGU1s7au3b0JxD+gmQUEjKERHVtFo JQlXvwKhwmAZfFEUBODW3ITOqOag6goQ6/WWgRqBZg4RxHYYy3emSD5qWShj Q4TmODcPofwch9AchAaXLtUQiMueEeHDZc5BRdl41fLo9AUkb9Kd9It1dX+H WRazM4KvfnytGdVFY0fCOo8oy/f3uIASpBOmQl1LR3QrbzQIpT0uQlEyjB8a pla+U1uNsvTDoXd4tMDSSdV36BS9+qrCSLHKKzexekN6/3E1Ezyp93mX9SJY WhgargvomomT2lWvCy/x3b9XuG7N8rU8PJtRYaA2GK/H0Lc/ZJIaX5mDTvkg 6yFWb2B5cz2PrBHvBEI8Z8bY/3oyViahIBp5ICPl7Ud0Fn6RzCnsbLaOyYVf Ku4fsyYDTVy24Gib+tR2+7jtH8TPXiN5aHS+Gn3tvTnQNJ5DAhw1PDoU+/fw hj4nNLsCI8+8i24fWGNe1Ly9NnmI0xrxdu6BJv1s5HLX+Z5L0pau5ppjnllJ bg7gomRyT9bu3ECTPL/Sdbrnmjj+HRU5YTLv7PH3AxjA994aBph6hSMYwMeN ZoUsD1CKjhGBg4+ghEZlEWfz8R68LR0HfEFwD8Bj004MEax7kG1LdzZf5Lu8 EMdpU9m28Vxi8igOxGG2kN/HcUdIQHnCYEuffcKA1zrK7x8e03+T/aJ5wGvV 4KT6+s9XbWPKRLziKZ08FFF7Utgoghdl63u8RVy9whirqpiWzZoMg1+8tMs1 s5ZtDYvhcBJVVvT9qOAUjufD9yjBxG9y5SITYO8KloFvW9V3Xa/utxIDTOW+ XwBMyS+d4ZgyYHYGGRC/1dHDqs+lGsSIGwbwnJrq0q6jfk3f141uaQrf7IyO qinhyX8h/R7HJbouXq8n3dZkMd4MN6Z7uSp0taPRho1HdNVvSp8v7a2pKmKV GDYo6vvGizpM86X7PV0XnX3A11PzundGYJH76KlfxKtUxNGn1qwoToWefllH hTdyiRUnr7mFDbUVNXzuSA03voWYr0X7HuTCq0bRdZmXSrru1MdEHWKIBXCk kdHvn7j/sUL/u86/z3be7p/RzjNiWr3CufITVKg9xqFc9DYZ9iMYYc6YmV3B 4q1PDrh84LPR9sXP3nql2ORApuA0n1J5oIQjdAJbsKHc+WnwxVYaKl8eVb4k JiXaGFAjwtz3SbfgDh3HF7O8VMYXe0SL+AN2peFYvljDsHoDpzoUGQbz1h5G kH77+BOoDo/DLlIdQ6+C6pj3wvH1Wv/+GHUx56IfqS7mbefGUmuqH70375m2 J/eae5m1NdfcgVzo/YHtvfeqEpYs+mcHx/c+TmQsS4TEPz+GEbXba/eAlcIV /KWStCBy01Gz0oZo/0EVpSM5YfaMM+HIEhAfJzjXL48iOscc2brFub4j3nsT Ara/h45NXwhbPiQPHb6D0iT2+PRAE7Z3LI+mIgNNfBqvTNaE9/Jo753WrJEV zaDi9H4zT8ZxACXI4PgdbD18BSxILPbeQQmisqDSjFHGhXg/312sMFfwPnKV h+kLU4kQ1sgQHxjVqNIXkfTewdkOSN64TDIgnoHp0RMwq+AVLNUONImvdwkV 6a5Zv2y+iKObpbG2o33FbB28id472DwuE7DnK4rfeQwLchMjl+EGWSkw6/dH SkFugmuPkOUHtLLZPeBMheqqhdwEHX1c4EvOsRhbzB046tCn/yHf0YfmTfF4 KDcRK+0sWlODweMSzcsnvKEuPhCIh2/M7zDt+qcB+t+6RX1+QLlYcAhhWK0R z7ZxUwxPnseCo1j+xxQUjuvnsliAkDHDOZXgjlruQ8wkGb81K2t59n1zQAxm zvepxPW3+Hj2aClrZmeY8Pr5IxCZg8SIaPoMHWUiyrTQWAUhMumZnwiRkcwK iL6o5mrqpHgaXNYyC7PlKALTN8XHOHAMcWKGDDW3YWG1x9WdgXa1JZDh3Ufl uB5QKWE4vxO0HWHr2KdFp+rFJgQ9bU6u8Z62G138PVqgZS9/OpAldktK5SUg UydYAXDQE6a6scITOkWd4RQ47LreS0Xfhmtz4OjbKmdavVbX8/5W+YIFJJLQ LpvtucSDiEyzFNbyZgN5InNyacvgO47yHVZlpA0zLbMoOgiwWdEqYwPku9qe OJdYRCo7uem9RZbsMXXQf3l/eO37ENkwvN2hYRzohECMLzuuChqpiyrxWCpU f673Jq8P5YdLv1MJbfWbCogbY2sqtpTfYMrRvpD1D+UW0TZroKuDnpMfZC+5 Oo+KfJPwNe9q4MYFPDS/U+Ehrn9cE3ezykqRU/yWV3svK4qNsxQ95t5/gu+x vdn13jTLPQM/BkJTtl10LzbG6tuv5d+ex7CR6yzJCFmllfEtvWWgCS9DsO4Y KZbesnpDJoRNh46BKZXx3SI8MEUr4ijhA9f+C3h59//rv5xX/V8T5Cqv\ \>"]] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell["\<\ Signal-Response Curves: Phosphorylation and Dephosphorylation\ \>", "Section", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417729424125435*^9, 3.417729430029875*^9}, { 3.417730859574404*^9, 3.41773086158824*^9}, {3.417830096512034*^9, 3.417830099935575*^9}, 3.417830753363074*^9}], Cell[CellGroupData[{ Cell["Now we look at the same network:", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417830109492062*^9, 3.417830124250815*^9}, 3.417830753363337*^9, 3.417830786785618*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, 3.417830753363485*^9, 3.417830786785792*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnA1y3CAMhWPfpFfqEXqBnrMH6T2aSfwDGGQkPYHs6s1kEnbNE98KsGzv 5Mev3z9/rR8fH38/f/58/qyhUOi/0vJcvRZkXPahChBvChBvChBvChBvChBv ChBvChBvChBvChBvChBvCpCiG2AoOgVI0Q0wFJ0eAFK5jVg9im73BhP16vTu Mn8ASJ+5CuQ82HaN9LjrQDij0agj0CMy0uPvNSOb9T6co9kMCcoIXAnBsm4g X6+1YipBurZ4idKMbDG2SI2AgIyYoBRzKv3TAoRy1qlYI2kYs4yYpOSakSNK PRwkIyYg5bNaUxDzjAwFsVzsw0Cst99Bu5ahKrPW8DxiqNrHb3dmN1T947eq tTwpQPJO8/ExGTHbhTlDoNu9LtNJgCBAFIEVFASGMh8EQyLxcZkRiQ/qTuPk iYXNiKRn3UzUi273B586sZAgqPO7eAQYG0XfcgBTQQCdlR5gEDWJ2AFbxqtB 5B8F+HpE3V3cHw4yK6PoK8Rpawx+qasxQPaduFyxW//UDdQXiKbKAUaFgECq PmX3aVWGtiowuUEnulIF7/uzKlj4to+9pliS2xLbtddSfb6B3yxRID3KjteH pNsSxzwB+ZvXJGGiwq9HGPeFGtkRx6bbHCfRmFAk2Bt04kHoYcQg+VLVf6Ra EynIeRxmih9Ogy91z+0GRXH6Dr1B9721ojFOa0k3ut0OZoNxuPM70e12JCOK MwC3C91ux7EEEaBIQEznVR6FczjdbkUYQMIrJfkg0AoJJ5syfoICxJsCxJv8 gmwj+dobu04KdHuejvJ6xYKkvkOU3pawANGMjaU0FXCQkSfzdG0YgKjGxlJa BXUURCyQoTvBPgX2mXCDwgAZXCWmy6NjgfpeI6sVyPjt1wpk4DJ5F8hx+2y9 +z6Y5xPiubugt9+hi50pv9svU36rX6YCxJsCxJsCxJsCxJucgixbncjo4RBE 9NxCADLiAc8oEGMUyYMk0dQaRcLrQrepSJw4HIke7IkXuxmK8AmlYteyuNTa PfnOuu0XzHLa8V3V5xEYS240HgSDcvFg+2HO7KLlCemcuNBt9nAEawwyNaG1 VlJb3NmIyhDakG5LHDOefOIvhbTB0rB0W+57I8F6vglIt5W2RQ6KL9lCQhUR W22pa4fNA0CqHNeXoCRGILUXK4c5X+z1AVZedA7S4qhNN2TBCbeuW1TPGq5B 2hymKYGDNFZwEwRFYgBSf9WaBA3S6N8urZyCUBPLNiVYkNaoqGrXKUjjZXsS 8IUV9V6rct/wvFzqrjfTnXjzm9EVCPlm+90F8B+UgCB0VxpEf92LA7kZyWNA FAOB3IkAgog7ugIBJMQFiG4YrkCUo1CTYEBA9yd1BnRb5iLzcAAiCFQ7BOk/ EwTqbxfvLSAvyogtiQzkOGpJmzdlfK9helLppxdmZMmOXrIX+wK1DbcLRuZl oxSklgpFRlKL1M0+I7VU0BnpNkynrXlG8uqIPaFJwyX5XMwzkv+D34NHUTCd hkdGFo6lPCNFyOOXpn7OP559vXShiM8j5Wy+/OLqBLlGMAZZqhkRp6RMabmD 3XQXgyQPzcul0mnRMKxlxBAk/XpxT0bujQ+Q63nEcmqlS7BnsXeAVGz69w8N yB5+3yPJvbIHZP+dnqGst1+2XlPGB4jQP0C4gaz9A2S2AsSbAsSbAoQdx/gj GgOyF8cW3kcIuo0M8nyQEeYjQUzn1kCQF6yRb2PbbWsQiPnuO3L7tdUoEAtX MoQlyAvWCORbi3ch6DYuzitqrQEKEG8KEG8KEG8KEG8KEG+6gjxWLwUJhUKh 0Fj9A/awXlg= "], {{0, 0}, {201, 229}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 201}, {0, 229}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{3.417729464342729*^9, 3.417830753363634*^9, 3.417830786785935*^9}] }, Open ]], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.41783085659256*^9, 3.417830862009856*^9}}], Cell["\<\ Rather than using Mass-Action, we use Michaelis-Menten kinetics:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417830128954963*^9, 3.417830180378352*^9}, 3.417830742853928*^9, 3.417830798508305*^9}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"react", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"R", "\[DoubleLongRightArrow]", "RP"}], ",", RowBox[{"MM", "[", RowBox[{ RowBox[{"Km", "[", "1", "]"}], ",", RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", "S"}]}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"RP", "\[DoubleLongRightArrow]", "R"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"Km", "[", "2", "]"}], ",", RowBox[{"k", "[", "2", "]"}]}], "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ODESys", "=", RowBox[{ RowBox[{"%", "//", "interpret"}], "//", "First"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"%", "//", "ColumnForm"}], "//", "TraditionalForm"}]}], "Input", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417707878456383*^9, 3.417707881561127*^9}, { 3.417707947248625*^9, 3.417708043754384*^9}, {3.417708076035349*^9, 3.417708077588026*^9}, {3.417708807023365*^9, 3.417708883991737*^9}, { 3.417729690853929*^9, 3.417729712614926*^9}, {3.417729824099205*^9, 3.417729870078413*^9}, {3.417730744255033*^9, 3.417730775624953*^9}, { 3.417765397709925*^9, 3.417765397802703*^9}, 3.417830742854121*^9, 3.417830798508497*^9}] }, Open ]], Cell[BoxData[ FormBox[ InterpretationBox[GridBox[{ { RowBox[{ RowBox[{ SuperscriptBox["R", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"RP", "(", "t", ")"}]}], RowBox[{ RowBox[{"Km", "(", "2", ")"}], "+", RowBox[{"RP", "(", "t", ")"}]}]], "-", FractionBox[ RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{ RowBox[{"Km", "(", "1", ")"}], "+", RowBox[{"R", "(", "t", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["RP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{ RowBox[{"Km", "(", "1", ")"}], "+", RowBox[{"R", "(", "t", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"RP", "(", "t", ")"}]}], RowBox[{ RowBox[{"Km", "(", "2", ")"}], "+", RowBox[{"RP", "(", "t", ")"}]}]]}]}]} }, BaselinePosition->{Baseline, {1, 1}}, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}], ColumnForm[{ Derivative[ 1][$CellContext`R][$CellContext`t] == -$CellContext`S $CellContext`k[ 1] $CellContext`R[$CellContext`t]/($CellContext`Km[ 1] + $CellContext`R[$CellContext`t]) + $CellContext`k[ 2] $CellContext`RP[$CellContext`t]/($CellContext`Km[ 2] + $CellContext`RP[$CellContext`t]), Derivative[ 1][$CellContext`RP][$CellContext`t] == $CellContext`S $CellContext`k[ 1] $CellContext`R[$CellContext`t]/($CellContext`Km[ 1] + $CellContext`R[$CellContext`t]) - $CellContext`k[ 2] $CellContext`RP[$CellContext`t]/($CellContext`Km[ 2] + $CellContext`RP[$CellContext`t])}], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{3.4178415743506727`*^9}], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10003.}, CellChangeTimes->{{3.417830825364044*^9, 3.417830832306199*^9}}], Cell["\<\ Again using conservation relation, RT = R[t] + RP[t] is constant, obtain:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10003.}, CellChangeTimes->{{3.417708958388636*^9, 3.417708986009261*^9}, { 3.417729888926148*^9, 3.417729891368896*^9}, {3.417765398967576*^9, 3.417765400882944*^9}, {3.417830324473604*^9, 3.417830326505389*^9}, 3.417830753363777*^9, 3.417830832306357*^9}], Cell[BoxData[{ RowBox[{ RowBox[{"RPODE", "=", RowBox[{ RowBox[{"ODESys", "[", RowBox[{"[", "2", "]"}], "]"}], "/.", RowBox[{ RowBox[{"R", "[", "t", "]"}], "\[Rule]", " ", RowBox[{"RT", "-", RowBox[{"RP", "[", "t", "]"}]}]}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{"%", "//", "TraditionalForm"}]}], "Input", CellGroupingRules->{GroupTogetherGrouping, 10003.}, CellChangeTimes->{{3.417708886202208*^9, 3.417708909615042*^9}, { 3.417730335899124*^9, 3.417730338707775*^9}, {3.41773073291125*^9, 3.417730736693373*^9}, {3.41776536230993*^9, 3.417765364929181*^9}, 3.417830753363912*^9, 3.417830832306498*^9}] }, Open ]], Cell[BoxData[ FormBox[ RowBox[{ RowBox[{ SuperscriptBox["RP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}], " ", RowBox[{"(", RowBox[{"RT", "-", RowBox[{"RP", "(", "t", ")"}]}], ")"}]}], RowBox[{"RT", "+", RowBox[{"Km", "(", "1", ")"}], "-", RowBox[{"RP", "(", "t", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"RP", "(", "t", ")"}]}], RowBox[{ RowBox[{"Km", "(", "2", ")"}], "+", RowBox[{"RP", "(", "t", ")"}]}]]}]}], TraditionalForm]], "Output", CellChangeTimes->{3.417841576475731*^9}], Cell["Graphical Analysis and Solution Behavior", "Subsection", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417708265329699*^9, 3.417708282847009*^9}, 3.417830753365077*^9}], Cell[CellGroupData[{ Cell[TextData[{ "Using Michaelis-Menten, we obtain a ", StyleBox["sigmoidal", FontWeight->"Bold"], " response (rather than hyperbolic as in the case where Mass-Action was \ used)" }], "Text", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417830234545994*^9, 3.417830268485295*^9}, 3.417830753365246*^9, 3.417830892183646*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"600", "*", "2"}], ",", "400"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708185938001*^9, 3.417708225066429*^9}, {3.417708938849448*^9, 3.417708938949304*^9}, {3.417729994817061*^9, 3.417729994961415*^9}, 3.417830753365373*^9, 3.417830892183739*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnVua7CqORjfukdSUeghnAvVQo+nZVu+IsA0YsABJSPa/vqqdcbGRLLN8 AWeef/3z7//9Z/vz58//hT9//vM/f/5sAAAAAAAAAAAAAAAAAADoJ4SwOgUA XsPHN0jnDOwvx/x2HvahK7C7/HLsu7GdWF4LHUIaVPgBDCrH2RgggwI/gKGd WF0JXUIW1PcBjOzE+jroErKEL6vTADekOym6iwvRv9nX+zrxv9cm8rbhnDD7 7kCVDRMOs8L+wf7576AZfRh5+Pm2Mq55NpW1DeWEOSq/Ng3QIpMpPbkdPzNn IqfSRvIms7ahnDDZcRMY5HpJeTmtpYul15lN5cqXqyxpg78kZd8vPK7fALM0 lUveV7/dknULn+E2g5H0mJZefixJCHQSyZbffA2d5YqfoTPwkdwjx/sJRXYC Xbn8aArllnAxDpMEvgiJcs17uXRck6Acxk8kwECwb5LRx/z4WRx7PA+od8ph lkAEHMccE12O/Bw7vzn/TV9F75rKpZc66B18YEzKLYkUtAvL9F1DufzeAr2D DwyW+KTsRHuSgDp8cr2XR/dgJByszgR0UJMilSq/a7t8W2ih0DaUYyUep1yc CqBTk+LyjGX4/j+94yvOvLbu6tE3GElukVFYJ5RGF89XIb2QzH7joDoM2bjH QM9gJN0d6/IAPfDsqQ7lOMKBLwGnOYcke22ilex9rW30C04wFOwSlknqi3L5 ae646RsOAa5AOZ9UfkW1s43yBxxtgypQzivzj4cUBmFKbaNX8ILhEwBUwegJ AKrEs6QwDgBx8LwXAAAAAAAAAAAAAAAAAAAAAAAAAAioPFwgHUPrD+PgSQww y+8vjsiHkW4/+cspYkHkpbMkdeFvYNtJz0winWj9pUL5AMLtf2Kkfw5QJoTK EZBEnEv0t2nspLc6gzG0fpvav9Obxh970DoCUijkonDMoWMkjV5af55OJpDj CAqRLP09icIBxlB2bpXbnqOc3i6QC6R2BCTQyMVAdpuVLLp50FlObR9IhjGp XP2rpdjIoptHKafktaRxJpXDWY6TZynn/o7RvHIYPpnmYcqpOPfis1z0F+3X YyWPTp6mnMZgmsKApYXuVFbOzKyciRoN8TjlXI+MOlDODqaS6UBj7jVIB9iD SMeRr5VJ5QqfWcBUMh2oKKfxd9k0HttQUM720ydGJsGVjuJS6DzUpxRB57Fm 0Qjxj7WYVu7Ta1dnMcwjfnln09kOlV8OsjJCUcjl7yc2vMMftAVcWOpKl1ws /fFmI2kAAAAAAAAAAAAAAPAsrAwAAvAKLM3DAQGwc41RfMLD3k4yMxcXYTCl KziimqP0MHZ7FzW/lVq1rdySlFz05Nrze494UGrTORQzhyj/5jWUm17VCHuK UG4qBm9z+4soAKDCuSskqP76o0buSjH8Kne+AGQ4d4UIUI4lBm9z1xeADOeu kKB23wD60NgnnDGeioMyQTkeNPYJZ4yn4qBMUI4HjX3CGeOZuJjuog+f7H3L /japI6ZcGgOFv8HHDHO3cvwHdf9wF6Ty9AmqfoMP5TpHLMP33I39nwDlbOBF uZGnTyBdAnstwrXzoOIkPBRp9IEvXGKeCJShfF3PHeV5uChS4Yi6f3y7IvrB B40ioNQEfFxYbpUeQ8wd1m1QzgJ/i+PkXq4GOXec66Dcen7FcV2kntzfbh2U W84xJOG4SJ25v7pHKCmHpxBucd0L+3N3vblTqJ3lXlpfMr5rNJC77w2eAGc5 K7jugUO5u97icaCcFVx3wLHc33mig3JWcN39RnN/o3R6yr2tsiSi56dcd77x 3F1v9hBQbiUByjnf8AG0lMOVZYlfTd6t3NuuLqHcErJqBO/9bjJ319veC5Rb QdbF9pOc3xLN5u564zuBcqrUft/sNY81C7bgBSinSONYHnx3OobcPW9+F2rK vd65dg2gnOvt70HxLPeOgpa5v1d5970cXyP2wVlOmHgeoL2c5x7Hk7vnCtCB cqLQT12OleP7TRG3JegBynESTskC9XJ6H8T029+gXBeayj29nuH3ZNuuHHGt aHWZvKThU85vDTrQHD7xPUJQ49yoYzv7Vj+b8Vscttw9F4GI4mPNbpU78062 IoQhx/LGL0E8wpe74yIQUVfOZEUTjc4f0SWxmHKXFFzCqZzfKtBQUi5CNk4W 8fw4XL/d3zSVC3fK8aQO5c6muFoyir5yaQeuu1DypmJV88t2mOzLS0tKJBvu EFbl/JaBxCOUu4yJ0pVbTDbwsjaZCThzd1wGEs9Qziv5WOfabCbgVc5vHSjo KycezhHRnJzvrsaau+M6UFBSzviI5SIClBNvzB5aylm6gbJCVgzPxeHN3XEh CKgpt8G4nKwYnqvDrZzfStyjp9xorHOtfHIsXJZwRZq148eaN/Zd4LgS9+gq N7Zqtn6q3G8JrlxXEaCcXHO2MH6WS2Qrmpt85YX8khLKXdpjbc4Umsr1F7K8 YrhdwjjhetTAiKVoe5bwodxWOLFVlvRArty2/yXLRfnMw56752LcYFy5s4m0 wUKM/ryWcVWu8KkroBwdZeX6goWHKreVjHPdy/hz91yNNqrK9YpRU66Qta8d dEkWF5YaTdrAp3LXD3zvnwDlSm2yN2kCv8ol94c+dk/18Rsop9SmBbwql072 edk7VeVaX3oAytHRVq4rWku5aGLcx765zdHHZpQRyd1xPVroKtdZxfZ6IfrX PIQ6QzmNRtdjWrnavFz8mZPd0qhz+P3juYfJ5O64IA2MK9eaQw+eTnP1LI8D B5TTaXU1DpXzNFZJup7coFy1WYlWF6Ou3Ihzl4nw+EOzeyX7rb7qYt9lHStH 2szBliVaXYx55Qp9Mf3w75ClSe96+yGUK7Us0exalJUbOG4VM0wtltrjc9Cz 2k/bBjeCguAO8FqSFvaVc8ZIQZ0rt8nl7rgkVaAcL0PHeyin3e5KoBwb380c 2T4o12hYpt2F6Cv3vBr+GN80KNdoWKbdhWgr94Aa7teOv0GD41JyaMOOWTko V2lYpt2FQLk+QqgqN9redojntzRQjs4C5YLNabQy+3x2ON5JKIffCldveB1L lLM5j1YkVY7/oIuz3G3LQg0vA8qViB2Tzfen3C+UUBB5oBydBSOWy537nVJK Uv1+6ikXp+W4d0E5Os9Ubtcm0qjwNsvo/HLy/mwoXWXlQoG55thSy1sWangZ ysrN7uDa6afgTeNtvaElp98zEcWYUG4V65QLuQv5fV779NNWbqsrZ49zG9Rj ckWVVM7oXhtGSbmLKJLKeWPJWa74crw5KEdmnXKF08+9ck8kQLl201ItL6JV q1BgMEZ8HeP4fMRNUgUoV2laquVFyCuXrQbjIpIqQLlK01ItL+JGuePVVIT8 YA7jfoT45zLlGMJCOTpN5YovByKE/Gj+tCoOEowoNx8XytFZoNxAEaMWkgmH 8axssUC5dN5mvjlB5R6zm7/IK3eN0VvEfWDz9yb+bCYtOwR95aI/hM1x3SGZ +1P28s4K5TqLmLsW/XC9N46DSPZeK3r8czY2lKNDVW5mswvK9TSXdo76Z97Y Zxyz96rR40nQ+dZk8LyPS5CVm7ubu3zSs3pjJde7Izltq9+0ZLM1c9FllfO8 k6+0JwmiVxPbPadclEXrS7esGw7KJ0znmppOp9G4XNsLaNaK6RabTbnrWk/a G6uP5sPRpWdan7STtzvleG6xS8rRm3q+cvEgrEegXBc3yiWujda1sB6Ui4By t+3LNa5Pe3N4brGLypFbKiv3gEmCAyh3275c4/rcbQ7HLXYpxrxywfe+uFZ1 zdZkR9XxVnjSqbQu2Lg6nbViVI7aVEU538JZUS6czLbDlFG5dcHG1dHYz8UY s8o53wuF+ZcFyv3mw+eDQzk6C5UjBo7uJEufeic+ougrd/l3tCEoR4ZSq+Mg zDZJQI38XS5/ESXln5XKhUQ5s1Phr1PunClgnCT4fkxdvbD8Y/bCUuVKP8Za gnJkqMrNDMpXletyLlv6KXsByq1uXRuCcvG/nMp1XFqG67J/P/Pq3eQhiDsP B8oJNq7Oba0YjoTVGCMzBdG6shOwckwegRhxMnzyLOeIyoXkHVsMp87MMX8A YuOcJJjs1biwpNOnHOvwCSX6m1g3Ff59NdkOT0K15iVbV+Zeue8O+b3hjgHn 4hHZFbUI0ZluqhWWbKrNS7auDHHEMhGPMwacW6wcD1CODkm5ySfxmqt57mg8 nFP9fisB5eiQnj6RVM51T+vlMq3xuYI4XvstBJSjs+wZS90UjHDZ0viDVcMn 10yG2uFIZ1HzukA5VYwpF1+5WFbuUac5A8q9yTlrykUpQDklqE+fyMZ4UkWH WfWM5dRjDvu6UI7M7dDG9HgleSLi7SxTjuE0B+Xo9CnHPhXesYhvGg/gnK+g 3Kr2NSE+fUJceDDGFg+dPZHG4QrKWWhfk757OTnlHu/c/TeLhk8mHy36NSSd +4M6R+fwiZxyT5euxlrlwhHY9Lzcu5RTjPFK55Yqd0aeDA7l6FhS7pHO3UxJ xq/Xbfxc6HljKTFk21fElHLPuk3+cDciTF7UMFCuC/LQxkRVe9Z82Inu7lm3 jmXtAuW6oM2ZSU+FZ9HGwlikbzjY74bL5+64OBnUJ0MCadnRGPnijygvYTIy fac/L1dksCXu5JQD6EFQ7vIvf4zL8v4LTNkGKNcTQTiAGvfzcolySvvjAc6R 7pGzNRbNyzEEh3J07pUr/WCOUVzlOTWuEdYrV3nd3xCUI2NUOc/S0WdEPv+s f+Dr+rq/IShHpu/CUlE5t9J1TEKmiy+4l2u862wJypGxOHwSr+it0t0ZQzlq BOEAavRMEoxu9sT+0Jhl5eM7k9K5zkrlQu1Nf0vyyrnpBjeQp8K38Z0yVS1H 0k2mCeXaEYQDqEGq1d7pVyi3ebFuOsclkwTROZapISEc9AAiGlsyH2NmllaN 2fRWbN/kDHjcDlNGjRDSEZTwodxm2Dq2nJZsHI9xUK4DN8r9GrKn3fgzUteG GNJZA5Sj40q5zZR1c2lcV7axVWNAOTrelPu1Z0E7lhSiJtZv0ThQjo5H5Ta2 W5DR0JytxQ3ztUuP7+de7iHOOVXu16yyd/v0JOuFcta6Lq5GLKGcgRghoX/e kLbC0SN/Pzm3Zq1yZ8jJ4DrdSDyECr6VO9ofOViTV4iUG02x0XYchr35u+iV 1/0NQTkyT1AuitNhHUnSz9dKF6/6ynl64AvKWYsRxaKJ11wwu5LkpxJUJBY1 i2L0I6n2JSiUo9PTN0frqtyXaDd4yUZd7tbkriS3arsGlfvULynFXq7CgtK8 RbmQIxBDgnDNPM2//E2mnFh2RpS7ubA8NIs+Ki+ro9wznGtvx6XrDW320lpV zKvIqKVcJVPJmHd5lE5yvx/xEE95YZXc36Ac01W7ocNT+eSnn8TxMj3vKidy M0kQfVn9qrE6O3a60RStWlW+cqBc4cwVuVU9zWmkGQqJHO8U4peyqRx3TuXq X51tyCRYC+oYjVpZUy5dpIloZlmYFco1p0qIZzko14db5S7dtXT6aCh36WzV ARdOJZM1LSjXoqRcYfgEyvXhTLmKVQTlym21U6NaSO8Mia0ulfsmni6mppyx Ao2xXrmCKem78lBiUzlyXpMbTzOy4qlT5SojLVCOCmUzhvpzvn7a1PFmWDk7 hLFr0kzAclcWzjw/CORf5y+qY2c6udvb9yMQatXYKeQYXMo551a8pelcv95f FD67tCSR4CWKQhBx7msVooPd2Ca3lXsVyXktebOmGt9Lh+a3+WBJZUkoR4Wg XOV1q83eGK8hOadk55cFZbqJWFAOZ7lpbmuVjQfT2uyMQeMRBb9cLSdXAOrZ 3H1/HS35npFLC8rziB5AUK7xrtpmZwwajyl4cmU9f90+k8z9EoWdWbgE1lLu CV0AymmTnNeyL7RT4WtJJ/dHdAFH93LPqHfyZrVybAGhHB3KiGXpJXGN/UKk P7GbZp1yuS9K3kG52zAaUYRp1SoUoLV5aWQ2zUuzTsku0xcrt/Xv23pDbEk1 w2hEEQbKqdI4yUE5ShiNKMJQahWSH5Q2+2MMNOuQ1knO9XicmnJ+S3QgsRFQ rsKlLtlbvxsI5ehAOT2uk1nZW78bqJW74xIdQDk9oBxDHJUwonDXKmxQrkLh Kansrf4G1qblB9rhSIcQRyWMKNwjliFcf0cayn24nwBdNGL5ez3ZEEc+hDgq YUThnyS4LgXlSKxQbjvL6kK5J3SCtnLXV7Q26TEmmn0a+sqF6N855/TOcv47 QVO54kveGOQmoJxAxF/c+N1gSzjLkXGi3Ea8qjUK9YpcPpM04i9u/G6wJShH xotyvq8pirkLXX93AOVW4Ec5x9Uu/+n19colzlnYxZRAOnEEoSrn4hBolXIB LCgXjsA+5uWe4BxZuYktfb1yZQwod0aeCT79ewh9sXQCyUGdJJjcJcPrPhg7 yk2G1lTu4We56D+DVprh5okBdtyWCcp10VYuef5uuKxu+5IunssE5ejcKBfi RUbr6rkvTUPf9DVloj/Jd9MKTzqGIknR3oJsfwxurv8qTWBbua6nZ9vtMGVE CKUVSYi7WqU7A8r10rHpSyYJPpcx88GhHJ3OWkG5Tjq2fN1UePTvaENQjoxG rd6sXJVrSRY88JUo5+RpB/edCcpJcXfFXlhhzTOW3X/BrdSSpnLOe1PPBoQY oRhP4bZEUG48llooEaCcDPfDUt2r8JNcWEI5JbqUS37IxHgxGD6hxlILJQKU M8PSSQI3v0ngvztBOXY8PYp63CT4mQp3352gHDPenv7e78v9KOf9yrJv+OT8 VyqGd2gjS8VFPJcJytHpqtXg4dBzX+qGtKlQbi6YXiwB+pQbe/7Vc1/qgrqZ 5Xp4LpOycn4LtfU/Yzmytc5LRIW+mVBuMpheLAHwwBcXnn4Bhh0oR6f3wlI8 hl9mN9JzmXRzd1yore9qaLSunvuSIp7LhHs5OrT0B8dNumL4hWnrPJcJZzk6 97Wa040WwzPT93BRQyztrADK0bmp1bRuhBjO6d662vKeywTl6LRqxeLbTYwX UiuG5zJBOTpN5RRiOGb0gGRNOX9HVd/9CfNywzxAucHfOS42xJQSLZpiMHag XC9swyWFhkXabQVMmWqKLy9KOM1ozFBqNbtLnqMcyxmh0bhIu/VwofW+ryXl s5znDkXIfvow6LtCMaJ9a/3F2fijDjjL0SHNy5GXHY3hhecoV4k1lAKU64Kg XOU1Zwzj6GyA5zJBOTq3tUq+f+FjzZJ3b5dIClFkgHJ07pVrvOOKYRhu3RqN OS/Tg8PxAuWKnPevQu0Wv3NXpgPt3B2XCvdyReQmAtpBRWLWgjFOy0G5Digj lqWXvDHs8E1VKuFmu1DObjxOWrlz7Rb79Tk2TXik5O63NgRDX4KdL1maU39y RjceI1AuGZSUzfT2F6Ukg2fBorAczUE5MsThk7BNHA0tKncePjiuq6hB71KS T+EIVnw53tyC50N1A/Khkbq58vx/PpFjVrKDcpYD8vFC5T626ZzWuoByfRGV A7JBvLCUjaFBiC8lxcdJRlimnMtdbG73kWnXimcUecX+SIZEdsds76V1ys3H hXJ0upSzOy+XJQjl7oNFr+YDQzk69xeWyVS4nUmCVLJ75eyjm2aIXsxXaMmF jHJELvru5ZYrV7FKc6R/kPvclJUL8c/Z2Asqb3hft+lTTvWx5tKpqqacfe4T 1VbuV1CW4FCOjkatyDHurw4dOZZxn7bypmWHrLnoS5Tz2hN0lbtcDWaj9+5v yCZQ38K0pt6Uc3uaa9Wq8k33ltakulHubazecH/K+ewoTeWKX/VvKFm5d+O5 DEtyd1qvZq0KX47UFlKR8FykRcq5LNhN2h9Zojvsoa10WhpGSNvvuUxrcvdZ sNtahRSRGE+Htv1LyzS5k6EcHUqtwvD5jR7j0dA2H8r1R10QdBqNWr1dOfqs pGwezeDJj851V92s++xYUM4MUG4g8IKos0A5M0C5gcgrok7iQLnomSSmFm3i VrltWe4u+4FH5T4TFx6L3Wbx8Mn579Dqa3L32A0cKpf+ME5Hkmu7Tzj+GVp7 Ve4+ekGCfK2mL/SztU8DZxpVomfTFyvncx7I4WnOn3K3n1sidBwYVveemfDr cvfQC1KgnCh+znJzrFTOW9U83csRPzdEV4aqnadW09Hm1u0Md85BOTPoKleM 5W7E8ht7Wegh/CpnvdLd6el220I0j8Mni2OP4FA5H5ME/elpd534Jnvi90T2 9XmSche8H5fKhcKnxhjYZv2eE1LmWmLLylfwflwqt616po+OC+W2bf/FrOlm 1u4P890hxqFyLubAB5J01W8y1ivnp3YOlXNU3S48dZuc1bmvjt+DQ+V8nOX6 8dRtctbnvj4DKsaV+7smlLPP+tzXZ0DFuHLFm3svte3ET6e5YiB3N/dz1pUr VfLvJz3PC+vi8gmOWSzk7sU588qVLizn55HkGM/L6hZRsJG7jSzucKCcK5w+ NDWLkdyNpNEGyjHj9KGpSYzkbiSNNlDODJ7LZCV3K3m0gHJszG6l5zKZyd3s Pf4JlONieis9l8lO7vadg3JcQDkb2B3M/gHluPD+NP441qZsbGVzAcqZwW2Z rClnXDooNw/T1rktkz3lTDsH5abh2jy3ZTKonGXpoNwsbFvnuUwGc7d4HPgA 5WZh2zjPZTKZu9FncaGcGTyXyWjuJqWDcuMwb5fnMlnO3Zp1UG4Y7h3puUy2 c7clHZQbhnurPJfJfO6GrINyA8hsjucyOcjdzG0dlOtFbL95LpOP3G1YB+W6 gXJX3ORuwDoo14Hshnguk6fcw8mq+I+IoQKUq+Es95CiHvwRMR6A5zL5zD31 TmsToJwZPJfJc+7aV5pQ7h6lfeG5TJ5z/xD2/+yXvH5Qro3i4c95mVanwEFo wRiEq6mlMaRQvLt2XqbVKTDTtG9KQyjXBsqR8Jw7ETbnoFyRFRk7LNOB59wn GDr7QbkSiue2JKh6TC485z4D7fKT5Xq0Ny/xGFx8U12Sr6cy5azJ3WzFljtn tjJXlpzeztirQvdRyHPNVYGjmkVAuW2fkfm8XJip9TId2FDuF9FL0U5wYal3 gX2fyOoUaJhQbg/opWgnr1XuzClEZ7mVGEiBhgnlztCrAo/ySuW+kq3OIsdg SmWMKeekagcvVO5zRrvNSXFE94yoFWoOKDfFi5Q7siClA+WqZHnKlyltPtqP 4Xib39plC2Uffj89l/02lC0jxWuU6+4VC4bgDJSJgrJyu1nZEfNnTWgqty+U fxnODnE0D+U4w59Hw57VRLJpBYRyrWipFCGWqqbcRcD0R6IylJuNGKID4FB8 KFdD9V7uel2YzaAOK7elR2Io1x8lcotDOXXnoBwt8IByjTWh3HiIqnITjTJk 1hMOylECZ7cJDeXKC+UeJu+gXLPR2KpUObYYrM3dRnOgXOWuWCX3IKMc7uXu mmI9kd2Gk2z9EsyDcqH4p7CUlDt/8CmXDcC8WrnSDZmycqrOuVCucmusde/w fbGxKrftnSn7UApTyl2uFRvK6aAZzolyay4sk36xcSsXvXuDcgXJ0nexcupA ORKyuadXM+moR0u58kIvUa4o1fdFVTkb6GVjbMO7kMw97xKUQZDm0AhlGUFM KWcRKEdBMPdL07kpyVXQ+TNdqPjjrcoZB8pREFWu/EF6vA7h+7+wHT/jhdKm jlUby8ix/l7OKHq74IzosEw/5HK/NhxdUp5jJPvg2iWb613g8WncULguIwWU q7HvPsWAHsv0RVM52aah3EKS6w2VeC7L9EFHOeYYUM4euom7LdOmcy/HHgLK vR3PZRKeJNji+63xUNmaUO7teC6T/lT4WDutt7Ot07OAckbwXCbPuWsD5czg uUyec9eGuVbhQC7GU/FcJs+5a8Ou3PcPImxQrhvPZfKcuzbctSo1h/1BwnOZ POeuDZQzg+cyec5dG/ZaFdrD/iDhuUyec9eGv1aXyQ9AhnlX6OE5d20EapW2 uLoXu4J7V+iwumr+ENgF2B9DsO8JHVaXzR8S+4C/TWCW1R3YHTI7QaJVAEAN OAeAKlAOAB3U/2IIAO9G/S+GAPBugvZfDAHg9UA4AAAAAAAAAAAAAAAAAAAA AG75L5OGx/0= "], {{0, 0}, {883, 409}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{1200, 400}, PlotRange->{{0, 883}, {0, 409}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417708191471808*^9, 3.417708225597138*^9}, 3.417708939697003*^9, 3.417729995738753*^9, 3.417830753365532*^9, 3.417830892183804*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzdnQe8ZEWV/6/d/cLMAJIEdUAyDkEEUUGQpKKIoIKAijCCwOhIECQYABNK EBMiAoIZAyqiosKAoigmFpRFWWVVUAwYVkHYpLvu/df31PnVq+5XfTu8N7r7 v59P93u3um7dc05VnTqpTu17+EkvOerYw09afsThGz7t5Ycf/5LlR5y44VNf 9vJQ1H5QVbXfWFUP2nrDiv/rqtJXz3UWX7OK51T6Sr5a9SGHHFK167vuukvl scrC3uqnxOoA17GCt73tbdzVW265pd0vyp7Yxv5v1yeddFLt2MQfnuI/fPjD H6433HDD+tZbbw13sWzfffetDzzwwPrf/u3fqs287Mtf/nL9sY99zO5W9bLv fe979Yc+9CG7u3WUl65YsaL+x3/8R7+L3z/4wQ+s8i9/+cv00n322cdenL/0 xz/+cb3OOuvUJ5xwwnAv3bvwgk297OKLL64f/OAH293qXkYdyrn7bsMLzj33 3Kpl3+3685//fHevbWv/duqvfvWrVLHP97///Ulv4/e//70VPfDAA7ETq6n6 U5/6lJVdf/311oTgPe2008J74nNvectb6quuusobj2U33HCDPcddy3/54Q9/ mF4bCKjHv/a1r/VUbdv9T37yE7ubzkjwuc99zu4m+LZq+vW5z31u/ZznPKf+ y1/+0kgghlTLB9bqq69eb7PNNjMEiv9O1gcddJD98JCHPKS+9tprqV6/9KUv bVEYiPL1r3+9zq9AQ2v7V7/6lY+caXt81VVXtUfPPvtsu998882tXmhSiLbb 7fp5z3te16ADcQYTkynWW1A/5jGPqR/xiEcIhfqcc86xJn/6059a3WuuuSY9 Tx31R4l46g9mNW3w2W677YwqEcV2vdNOO6Wxo3bpKNr593//90YS58889alP tTGTSLy1//C73/2ufuQjH1nvt99+sTdD2aMe9ah6lVVW4YE0EkTbLbbYIpW1 Wi2bIKEf0otEWyZSibgd79pXvvKVdc5BO50OY6fT08zdd99dpOeUl01OTho3 ynH97Gc/W6+77ro2DDr+0mOOOabeaqutbHgGzqWqN998c73mmmvOIuVG/jtT 6q1vfavDHL/vv/9+IzEfLie3IIfSjNdZlL7pppvqN7/5zVlbU/Vee+1Vr7XW WsURnFP5+c9/fheKObvKqbxkyZL6n/7pn4alcqiaqKxmXvGKV4jSadSWqAwq 3/zmN+1OA+e+++6zZ7/97W+neswMRvbxxx9fJDGDTZNfJIZ+tPOlL31pKBI/ zv5d1EROuz/uuOPs/t57702N9SPls571rPo///M/50LKe+65p5GUixrI9uc/ /7l+wQteYMynH9mYo5/4xCfSIAdNGNTExER90UUXCQzxg8DuAmh8t+u3v/3t 9VOe8pReErbrX//61/VjH/tYyOh4TM0i4wtf+EK7v+222waSsXvet3Mypnrg csYZZ3SViZ4f+chHhmYAoueVV16Z6Kn3HnXUUem9twwYhnoG8YVnLr/88gTD P/zDP9Qf/OAH+QRY+Y4M2a9uYj7xiU+0Bj7+8Y8PJGZoZBYxw0JaJKaACcSu t956axskKrvzzjsNwEMPPTQ8y3e7fuYzn2nthV4fmpgLnRQSIJ/85CezWMyF ntQPC+QMnXaxfydsnrtMbZ8vfOELDudkopfm3v/8z//UD3rQg8RyRKpf/OIX jaTiMWdtklpCUfjh9ttvH3mlmXa4p6amEmwIGbQowEYhkCSBG2+80Z5h4ofJ ZfV35quFKB4qICmxtFEhfCb6jKkw+e0+LBsDJ+iOO+5oZU0TFD2AsZaX5Qxv WLpJmkU3oM1TTz3VnqGzQOmWW26pJAX/9re/rXfffXd+a2SAYTEIMPHdrh/2 sIdZe0Eqq2aIF7pk+fLlqaMCR2EtTgCW1lxG6UMf+lCrN2jNpSxw3VTvZz/7 Wb3RRhvVl112WRdhXA0oElBle++99xCL7yTP1BtvvLHVhQEA73//93/rkX4S Yk47QH/Xu94Vm2yxnoZ/WTkgfJBx4hM7+BNBZjL5aZdddnHO0J4tbsdWJq2F 17/+9fUaa6xh0pVTTTK0picflvGgrCWIuJ8R39v1pz/9aSsLYmYgUmi4inVY v/LpXRp5ixcvNm2VVVz1vvGNb9SLFi0yomu5GIZamqma3ZphJ554YjehkBY1 fUQo1tSXv/zlrPOxgRa3YTYEpmVCgv+oJYIFm+mhCyWOKgxrQ67NrSbKcGpG LNMqm6OOGNCrreWoT09P1x/4wAeq/H10wY9+9KNY+fE9qO+///6pctDWhEW1 pAFg9KgSwExCxoPojvB95plndvX9pptuWtTJ+0uY7fo3v/lNUkOz/ltQH3DA AfUmm2xi7DdQxX5jtnF/1lln1RtssEF68X/8x3+oXjIalJBjdrI8zOhTHVum oSK/BUWzFYcFElWU+N/0pjd1EQOlHXGCu++Ni+SODhbU3m233YwtnnzyyTaz QY7yIK8Lv3yCl/Bb4GUYJ2Qoya0JNLfeeuuFsvASh5GyXAwB/9VWW83kvFuH xAtF+8UvfrHR3So/wX6YqP/0pz/ZZNMnX4/pTMoCm0zIcE8n1tlkZT5qxBqQ Vi38+8c//rH7Bx+ONMJdP+hZC8KakKT06667LpfS63S9oE8DkHz77bcPjy5d urRlc7GNSJmgmWni4N4mpuq//vWvM7+/MPt95loJZsty6fpWEGW6N7zhDWZb ZBJwH/phT0da4iBdZSpK28W2zTbbLC3jCxcuNOXnSd4mchztvOhFLzJjJ0ao cO8wrPCmg0pQn3LKKfCQ6kgvQ8Kl7Ktf/WqSgoIkYmV1PSO+AjFlN998c/Ui L2Poq94b7XvKBIwgoZq5CWGAv2imAbKqL4rhLa973evqJzzhCVb/D3/4Q4t/ QtUgR4h+1R6OLNxkiy22MK7AwN5vv/1ozpG9xmshDjEvr7jiCltcuf/xj398 mP/MMk0RmizWNaZhuNfYlvZTa1a3+DXAiXEWay/CaCg53OvnAu8bvYwlnjen NnzO0JHcyeY7mxxRK6aTEQqfZmUThncgTRpQ//qv/xrafdzjHhdXhOpqfxYu jnCev5cVdcGCyLNe6GXIVj4HUz24y5577ulEit+IDNmMM2YZ4C2hfkY20hDV 8xHEuNxuu+3s7skF1DU6UGDpjSCtVM/wMph/WHzsLi4N1RezwcpPocfSqzCg vfa1r7W7Q70M3iuQ1MtgxSAIqkfirxjQNOLyxfjCCy/sol4JbYyiTOtR0H6q lyEh08Of+cxnqqd7GQZveuSTn/xkdWY32qh0zPL8VaAdhkMX2gg4vT1BGc/X GeeX5jUIxaCdprJhUXyalzFh4Q133XVXLGtxG37AFyCa93Qv3dH7vmHx5Dl5 YaQtspDBLXUhE1PvggsuqA6bZ7z38rLAqW0SrVixwkd5p37HO95hiyAMLvCi s1Ym1pNmSed52AcT5uEPf3j9xS9+sWkKj4Owxi39KXlN0/rqq6+ujz322Prx j398tVKxnbAyLLSAu/baa5sFSmtWP0aNK6DOpjw6HzDsscceaeH5r//6Lyvn ytAWz0bYgL/XGYehisRzNYOLK7/4fWb9ElFYzrVSjEoUnDTY6maI0k5E4U6L /7CrlnP8LiyA7xnPeIYpPi95yUt6icECdvTRR3c1c8kll9jI++Y3v5kkF1he f2LkS1oYOF2tvec977FlDlVsqZfhAmVFD1JN6oInPelJPUtaZPwixuFOpsAB kg3JCePMaMq8VCC47bbb1t/5znfsLwsHjPlJ3mbQoOvvfve7fKqWWyUDQYSY 15syyjAqaYOL98IJwoTxSRWpwu+Iy8jo66+/fn3ppZd2UWXKbAc8SVcEYcD+ 4usJw8Z52ZS5tw477DD7DQj5i1niyCOPdFvBpMk0qNgIU6hmaOZhfVjqhHnn O99pShIznyWnSv0TTRT8xjQRm//Wt75lZfnqxqiiLKyiqQz/NWXYj86JmEl4 QwoMmrS5fpC0uP+Xf/kXCW8PPPCAFaEggxyWo3A/neFDbzH+EA14SZBTxd55 ksFUyap6X3y5xGRIyUAIGmSaKYiLlOGWluYHuSiLJpvwLXZ67733aiTFF9wb X1B3X2NoE59yDFEw3//+95uyjg6B1I3wwXWIQxHGppWz2toPJ8c2Pml/ps1/ BeMI64CNCrpNbYYRIEMS9hgEeDSv5ZS1uV3uv/Igv4ZPdYoD98///M9WxtDE EvboRz/aeojrpByGKGYDZ53N65///Ocm+uLAEBC77LKL9eipp55areVlu+66 q5W9+tWvrtb0sve+971Wtnjx4lQPnChDflc9pB/XpWI94496AhmFX8OSlZ5g mLm1NtVD26LsoIMOSvVY+rparmZsbJSd4mXukejCHO8d7+FOg+x973uf1Q18 UzLTbNYiJcpHtX1Ct2vpDSKlFU1PT2uifTIDQx0ghomqh2Om1orScn4qo2tY cgJus8vW9DL8zJRht1Q9GIB7ClI92cwirUKZ90L4T1guW7bMVFQeWN0fYwXk scCPUvPCPDDN1DzTv6v5UAZ7VNnJjm8Y2SZlowKLBiz1vCcMxr93V3jwUuyK n9YZ4MixGFPyJwCclgJz/XsD3iXStcAj/MDM5oewAla3exkqU2+noOA34aaV XGIqz97paGG0FVpnjQarms0Zzu2Fafy/EMwfZB2YgToapJMmbuDu4qMJGpaJ hRRMOORaYINkUH3LfEIzrLcwQLDjveY1r7E78TpkEXjdHXfc4Vy+k7DhE6S6 27zqaaedZkU4iVs5Sjw/6vg3fbdt8krHZjgGdFaqsEppWiAtIpwQ2vP1weNf P+XoSWAcBz0tEYhpxAPm7cKXd955Z5M5Suit6r0YhCVbmxEAEOeoE3pIGGIK gno4jm8YhOG0aTZY2dALsD1jPuf/sPSylJYQDD8LQbgM3TILwdIaSFnTGpiv 4DQaPrHRDq+8vj8uV/hPxJa4Ay65+XPAw+f7Xoxems0kyTcE9dAC9jPMn5gt Dz744EUFaNdxPPDuyOvHR75zPEQf/ehHTSO6tj/s15bh/J4DROtPf7op3xb9 AGMJcBtZXumtYuOECTFwVilA+nArmzKNQ5zGf7O2A4IunY8C4Xf9CQX5rLba apX7FaoZJSKHY/2sf5kA4RNHhcvVflVXDYJlIsHCLEeJCIT2YITIfl72speZ b6IZILPmtagc0ENCQ+9j1AY1YQQgUFXo9QBMdZsTC/U5I1bp7Rt7MwrU4INH KAyc6nPDv51YAzcexNHdF91N/UnMpXLwo/4HAKrPrIwXbuaDGIPY4YcfnrAk FCNoEp8e9M7JWe+Emwded5P/jAiZX1A96NqtRqg2d3xYDeGfggqxZUSQDj30 UC2W3/EnGQiyT8snyrLt9p5GyLZwyFgZiDGgnAiJ66+/ftaKNACy+ItBdqM/ SQ/0uqKRjzXtBC11BG3QEPtCu6VDi/WPSSM6nn766dUnxob26w4F4TsU4TMO M1nrEAxZ7uug//cFbisHDl6DUUDAveUtb6kuHxu4LzkUmAzwFDGLQgdJQGHN PP744+1OxndEACL60wpZglYRzk972tOsDFPKxwdBOTULSrQpVAosGSscE3oY cJEaEH6of8stt6yegYdAMwR4HXNDY7qhPOD6sdEhxPnDPYGqiiXA4pNfGPWo gyAT5udD/OVYe7CdNXBU7T/AMEYZ5rcwAD4yOpwYAgXnZ71Vllk4Gca7O++8 U51O7K1EuRzWTLp4kw9GzDG0gOlLMG/nzTz72c+W0FTNEWA9Lu64ww47hL7d fvvtfTXE526m42TlwNDMk+v4k6GGrRJ1xhb64CTlPxMqEk5QzMsH4zQxC6cY XRrlA8RSAst++MMfVhdHNMJtx5981ateZU+igaJbhWUiPunhW0uWLKnaCmiw Zx7q4BACw6CMdxFTLM1yEmeYYkYlDl3BeGD6GH8EWZEyZnoYzx8ehGynC9mg i0n9QvAUjK/3qrAVMORzxhlnaODBd704VArf3r3cR4M8V6fTkRAd0fjKV75i QTgKxAoSQGVhORt6u4SWsT8gJwmdP0Cc2d7LaJsydoyMSIewwk86HYjeER1e GvEi4qZjFkddYTC0rDiFxfqIjVU9vKarqkYzy4oQCpKfaKpNApURTANIQiph m1003cofcw/TqCR7rJe59GF3HxpEsnYuiFema4ReRfKhZ/VhF5sP/nBbzfhh cWG0KcvjZ/2p+ENoDTN5foXFIywl/Nbp+i1o0da+qEr8qyAI9URV1h69ouMv UjNhslWCkbguLuzRrcJAsNdMeudomwrXiSeeqPoMazcBpzayqrGNONumzTSo i2VI1k3fQdD2V/meDLtuu+02NUvk+Eyzsap3o11hkWjBuEJV3Dlc2CZi2YQF r+fXxRdfHIgcfvMxF59Ek9FLxFfvuOMOk+bWXXfdqq8EpMEFQSgjEGLEwbXI kfrRj36UAyr8xat23XXXCIaGFNvb1IZCnGDe+fX5z3++UlfmTvugFFr7GlKB YmkahaGqIcVS2jVRQ29iFOEiQoUIan5XkFEYUn+DEdXpGlEW63TppZc6uFzc xbJOHv9UqhqbjmV5qJQiD9797nd3gxCadBeeSbxhSeor0GlssNIhMBLe/P/z 2GinsRGp9ec//7maMZHjzFQZdqeewcEPnfwH/s/bYHBw19zGCx06RiY+71pr hViHi+FNC4b237BRjDLCTz84qN9m1ljsxOH1WmOPPPLIBKcshWzmw8seH4zf sBsedwD7jirFS3PPevTHP/6x+sDw0CEBBE1XkhBQuN8zQUcv4i+/4oorPPih Y3ybwF2iN4aBTvwwrFWDoZutCbKzcvXVV9c4J/ZHNNzYW8OkSiwS+CtEg3tf 8pLyjeVM9Tr23c5X11SP8aR6CuUgpIwoibqukxGa9gYMIBEBgQX9CiQGEqHb F6FZRgAm3h3CGDd2OJAlzjvvPHMuEBCEEYP7KHTMjA5ZgYUhPKh7xi6Qm9Iu Al5oh7gO2sUKeuWVV6aAJsqI9opdFsvwgfP+Rs1WuxuQd325qN4/Bj1sv7Br POq+KE9PJ+8JwhEXkfWYchnIQekqWcdzumD2YrtOx74XmolalywbvgPaYlTQ ZgIHfI03sXTp0gSRtneJtLPcE00kIn4cs9DWW289KonygK7LL788o06MtKAc G1cen0/XIXZqrwG8yyNk06TCroGujycm14poj7vTvIwoF8oCKSsFkpx//vkm ouMzgA74xJrYx44+ydg+S1kQEJiY751fSuDyIqhD9ZD+XHZMARM4FhBQiRFe NAbWiEdI5Nrd2YT1E+Lgjrwu158vGR9v38ic8GYeIM3WacmJeAsf4U1wI2W/ //3vG/EmTg/VD3eInsVyRZv5lqnc59sX9yrm7VDZmN2NSVVgCm3um9Ce9l/o MuJhMCIHBUmOsxzz070sM4e7g61jyx1On0E9vZOXIVZiZQ/KTXXp3w7bPFbZ 1ewql+eOOOIIuxNnxFKqMu1mQBSljM+FF174YC+myWEosLOX4c7BNUaQ+pjD fC4UUMQsr2r7BBCf9wBRA0/L1Su8RaQORTIdeOCBwp6QLwmkw2JPGTr4mNiz Wq+33nroAENjrwmNeRTbTN7XYI/EG/TpUBZwk5MZDorvmkgemS4HzeonZgDB SdlK9Z7R8NTyg2vG9ZxqAy8jaLIJz+ifNQlc/nG7wDEo/K/if/FbouX8qlbz kYB86NsV7GJ6YzZpXMKFs5y/YajMJ86lJRwxmTKW8JwJdwdRRzrkkh5OuSVL lrzcKyHU4xpmrRM5yeIgsqzuZMExoPDtHnVlMFkwTcHyoPocyIIziNAUkQXV EF9GEE4TWbA9ED0PPiLLG9/4RpsuMbg4lrF7kHewO15lyJa4zbk7zvFG6GWd 5yOPGbG8TJV1vA6osU2hL21k4GZJoaGDDz440WgXfzlipMbwxePTiDLCkzd0 2CQboy5yyTqAF2RBNkRcVjZ8oUFgEbJnEwHM7hacX2hJkDvGpneSX8BBaeEm qbp3PK7tkDBgdRFBgEMlSAuzqVRyePRSiexVI1Ip34XsinmlzZKI3qgBSHLK CIY4QFlYahKFoaLqtey7e8+TsaWWRdW3c7dbMqigt3kD+FEWO8o9/uvZNEFE 5RktHtBkVweKiFtGFHcXzZ0mH3RQYbQy4gf1f5NBoJYYQA4iwwg9Yh5AjELi tAVLs12DDxebQ7BqsHcyMKs5gUwblBHHPCbISuJyww03VObtsaxq7fRf1U5x 5xEk/VrFHA8o/6RNiGElk2ZTYEe/Lscr3zjdtDDvllESTsTdheNhxrwVZm/2 MjqHNCSBS2euwb6eHSEKq0Cr5i4iusCYqfNCu7Sr0bePN3fgvKE5mdBkPWYA kT8gDOFT/RH6h2iU8KksLiWAjuCYX1i1FLAGlENSZ0t/RUaJxEMwbwwjbueE YImah/6O0MZvicrUMP25ZbuqY9v6QWNTLt28gSzfVqqHgsVuZu52bKABNl6P 8R2KBtj31caYNMgCzhIKRMYpp4GyBp1++ukZWvvuu28oO+SQQ2ahSmgTnuBY g+9OXg8JQo9jPpl5PL4684MNTWWtouyv8WUrUVQZ0/4GFNVqijwpcGWURjwS uJs6aCykmF75BJlPnAOp2IujbTZ8Z0H5XJNWPG3yhi7+5zF8G9imgn4iN+TQ /qnp3qqGB0uPJzPVo5m3KvUS+4a6e2lIB2gMACUrhMq0xZv5iQkjf02+HOzr ZVJ9KVvF35HvH1ailZXU4RJQZzp8yjw1gI8Vhg8hRVx4INqUSCuBl3ul+ENo It/Rz4Vlz2xwgaT5b5dcckmL4pH9Wp3crxVHVOz/zMdpcSuVy9BIteOMqMmu qshe7MARyC3uqphiq3c4UUbdWIPvjkVZ6LL8SfHHfHI92x+HpAzgYYdOfEFs D/ZHGULKhJchk40ynELXDB5OMz4s1tcg92hQ5CNq0r9RY9S5mZf07+8kHWow IXdiQGa/P5cNppiPMDNXUK3laR+RehlM3Kkst2wcnfU06uAwPa0kQqIXcirP smll2yF6lVDfhl59k/8E6GjM6AWruJchSztTbdLT+/4RVMrKmfMTjXHkNT5K X00MfpuS3GjkleIPoQnPWJwuomZM9POgNV1B9mlRHI0Zcdemtj8rS0kgWckQ nlPZjQaJP8I8HP7q0QUqy2qLbVbhTO8eTGW2D/Vy/Vw53cixYEFF1ICPUZ8V JQiaE4VmJF2QKQ2oqfFlr4e4q/1XEp7+l1CA3dId37egXQHR1R3L8rG3kQOG wSwbe10yIdPO9/cnkuROnJwkKlP4GgGXuiRwDSINPjskmnkmjXs806twUcjb u6SBDPKgaLMoAydwHllVmAnoq2iJapqlnjLsc57RLmrCucnoHK9MhCxTv06c qNOryM8im7QHRS8o3x6fwH4VCN6PcjjdAxeYT8rhHCCSgM1yopycTNwT7nzP PfdUSn2DAkGwMmtUeK6FZp3nbfV1pnK/ONa+mNDBd/NX5/mLYeJFu4foxVqj PYDK/4FSS2MEL9CfNP+oBqJpmSNx/jwQTYpvLj6KWLKtYl7bwMqmbIhgXWJ4 ygvjWXyrvkRzmyeb27lQGpiNAfVzIk3R5SeU4M0uNAa2MbUYwaXV85lehjzb He88ZYk2pS7TKLm/eI793EryndN2j2x0yDl9wfi0pTqJcZtoi20JCx2obOBl mDtwC82g0p3hRFwQdww29rwe7Su9mdRIrBwEvsdQrljGMMPvnD87m6wTKX4E ez+ckZRDWdR1J223pUJARrj2I6vCp4YkqytiKcYbJZKduXiViIlne9wWBfLK 50j6zMqVJ+3SQ/gh3J3dYRJKMJKLvKtk4PaSkvACZi93OSl7j7/ISfks7zS4 ZLa932ToUKYRo8HJjv4mKiqAH69KAxWVcRO11YWONC+YmKS/4WLOyFDG9ppH DkFN6oma2mgGNfO0PYr4WZSViZpv9TIWJSZ4Ts2cci/wMrb6+NERDl/ZWyES MamGJVELCnlqIF3a+B5oJGWDIkgFm77ttts2b6ASCjMaGtsI54NK6A8awyUq NflveikSFNRhBg0RXfwUsA2vJPtV22QgwtPwwEmWyuphVdqsQBVhhheFmEJS s683JFV06AIGd09DbhfubexruMffthKoRP0GKp3t2CMwSN259tprxZZhq4gz zJISRXL+gthPlO7ikSgyabyP17I0IwijD+y8885iU1i/xabUzCAC7e9laCM0 S9/LOpgbF0q8Semk8lzK7+pPwPP9JyYVpkDulOG1RCms05Sxk2s0Sk1YmAha NJZ7PgxfkYmVgC2tM6dLxLAi+JyTq8TQI6UWWnAmZajDNL3DDjvYlib+Z03H ixdkIu2lmQPBSsY9EUcb5ILQWCSOljiyyAARUWZTGcHItsCdhH/63zetJ6Jg L4f7Eehw1113NREFQxFOeO1l5bXaA09YI0PriCOOmAeivDmDQon7Wt7rmIM1 w+kKQuZKPFtOZyJWWP/32WcfzyoQgzB7k3TmYpiISOyuiPgOLxPBZojYTa39 MliUEVPJxHOKcTFD0GH6CQbjkC0zpE0ZA0FzJY0dHxYg8nUEkbnIwCRkw+Q8 a18iGi5FnOVhCiUug+OMaRjUmxT1ytyZC9H8Su/IiNaVus+t7ElIbCJcYAWD x9ukbW/KHRvs3A6k0luVnLMf+xf1aIIytnQu9qaJBUarwhTDRMKMGoSfBT6q 0fnwKKI44fYlgZmkZez3npyny33okA4kqNI2zidBGUANBD3HgWUxyy+sgYHl C2IkVUmwpVVCAYFE57EO4g4K/y/OANQUk4jGEk1ZPK6F7+5NI6/3egiejNyw /qV+m830Jm32YHrzIDART3QjW4piOptmsC+7cKxx6Ob6fB7KwNQm20xpIGqn vGz5AULfEh7fKp2mCXEsFpVrf8wLtI2e0P9hEMfGy6NDIo4njw3JLEdCPAhg Qpw0SL5LuIj4Gl6mTffo6Nd5WelkpxzxAxwEYtF4no+Y9dKlS0sWGyWdxd7E WsTd+f2RnOHPlZ33ob2blU7/gFCUo873R69jKzCqP+VhIF+bYYhhZEaOHxzC Mg4KVUyq6RkPfT9vtwF8kwL0azr0rL68DhZ44YUXKu8GtjUWRBIoKhMSchcY ePrWEqebB6RKMtjaeV/Jc0Q1ZZBQnF5dd0eCKwpgogDr/v4L0ZuSYbB5IKWq w2BKTRNLuLGkUkZi+nFwq9rJy7p8+fKU/STfzL9gRLSQGsiwyYffcG0JLRas JrSekr0LExB37+yPlkRallWBK0P0bFTjVkihG7iZ0qmQXrYXW8q07a2EbVxa 44GYuf8QG2nAWAjjyPCtK/OBsA3zRT4eGdM66qLEJ9ZxrJW0A8dcoIC2y2Jw IYkEdw/2Mnw3OkKwv0AxlUtoduVJPIT6IGEiRx0RgB0ug1Bv4Xao4qlITGvu Jr2M+qgJ/aRaZaPWcVoEb4eueb93MYuK9FBsyn/4wx8SWYYTXOeRLGI58n1S TVJ0wzxAYGCKxaFZp8WySVxd1/FH5lTKbNRIski/z39jpWFBRIYkuIgw/FFp g30eG5Eu3kfavgULFiT5E9jJco3FpGm2sNeXMrS+IdiDn9XpgMQy3FcSnUtC 58MdIZLUU4ZSePPNNyvb2CCspS2TdMjVILvofeRXzPUyCPfRloVsfuZPA7Il Fv9w7z/CsFH4KEehC02m2FvPOG53yg2M84e1nUPPSszvud4ue3m1gsH4sMcq FRiOBbYcMm7GRMlie+141yUF5NbzFyEtyMCNfA4feZd3DIMOcvMJypXwo7qH BBY96U22xBFxkKiE/wgVjuZldeMUGJG+NDXXdzCI/tXGKfxG+Fe02JMIiWlE uM/aGXpqtwk9Ak84cEqBNjl6cB44LMfyDERvIp0OzOLBh722Lcsg2TbQiSsl IKBko3mEt8FeYB0USrKcww47rHq7/4YGoCQrqI9wIKGLO83Dt9P0LmnBcDe2 moRPtap9t7WV1WpIWi1NQt7pXTAMx6E6+7u4kxUGM0J+YUfAqQ4qpd7fMEMd cVCDEGuMchxxz66S8HulU2TQc3WEVhM5NLjXWGONaEatYlIAynCgqizPtFci kZIxK5MUd+cNJhFrlR/g05dEiCdsmuq3dikRpdZtPngVObRNEw8S+4bhtNUO +yV8CVGh94TGGe4dDWA60F5cHicpVn206RLbngM5RGUthxk5UtkgY0kkSQyx h+cobx0Bs2H5ljOZ4GphJuMUcwj1S8E6DKRtttmmv6zfThtEYjfUaRFvkvHH JBAWiEFTCnsB8j05pErjRWk9mXpa2F1FQaZ4rXc03hAd/BoItZ4/hTMs25Qk GaC/dtBtydRcHCQAjkgfcWDsSiwEugJtksxJ1Itn3SnS5ZGOOPszlRk0DMgW DZ7q2CtEFq0V+RAJ5mc/+1mee21Y2y5Kc52tTYiXmBH6GcB7KULW/CEogtzl mNgnQJ2mEboTXkcOLCytSUsy0FADQUFCOW2h01HjFY4IXAfDri6eCdxFEVvw Y2mTg6jjc2rWHpFhqcOhqQ3U8Q1TYSppdOTBz6XRsbXTE5N+HpPLUQctjyfP NiFWx3sbpHqgHlZsReOUmIhyh2IomPD2oCU2sHoAE1Fm6cAdmpAuCccy5REg R1x4+FSKNaQPmDQcEPhSr4c9mTLW3/y0SZ6F4TShiNLkaniS/vLtPCUUFR/E 5hOYH3cNOmAJRWWhx+7B0h4+CUUSTbCQsLYeFsdE+Ffzg5VPT2hMMBDZ7puf ODzIBjcPSDwuAhcWPgO9BScLVbK95DGOxH4VIeHTLJVkzRVOCGXigiWmvZLg t+1WLUvK0EnLsX9azqbhnkIm8oKORX6xwPGR1d+8TwpSzfdvlfB5jpcRjucN VZaHuGTEzhEFSIL0R0R0l4joxhtvXLWVo6mLccL36QTiQFv2HTMn6lgipaFy q5TdPSyiTeVObqhDW2j5fJKVBPMEigYQKOHYICJphiL8UIaXveM4MAH8/O2i qCeaaf96IPSoNNvNAUPIJlJBn7DwOqOwQyDMJ6DfOALqEZHWeDQ75i7Rj2EO P9QHUE+mUEU66dR0BCVLLhih0q4/7pRlb1jiwS14OaEHw8rJOpjLCWd3OkF8 SOLJCA5j0riKQ2XKzBrZRDPGxbFA6MnyHGrTexyd8dsP9LQaazriGGZ51o+i dEGC+pP5NkCzRABHYLdKSgOH9c0PDWbkeDpRaeHH/dTPdjwiBU0sWmB8qPtM 5ZIasY+XES0D7wirRRyPE94A0gxhhlSTAzFLPZxWOSX44ikxQd/YYFdop+VN qiqNRfJOdWUllcUFyfOYY45Juy7xY7plMQXNjCOML3LqE1yjU+kJdSDe7/bb b9dEUeaHCGZsjG7mEboLciG6cI9fWUvlHLrubP8JidZttEFvjQQGK4/1LPbk Mx0rYqFY/fTBxn3BBReon3ASA3loKjTNd1tn03uj/fsYp7zAUk7IoTPPTnb1 MfG3QBeGhRIGAOiw3Ut0Vl13axZEoCM7L/JOZv8ioj8iO0wPPwivzM6nNNd6 FDNi/yLeEoCu1KXKD46JalD/IjJj42noX0kejDhMlaC1wCSztqnSVOdomFL/ igejYuBt4inb2is3EcvAjPAXv2UvpcbCUXuse4+0YivpJqk4Td2EKFzidDBj 7P6KJ0UIYP8kpMuD330jcOKmCBq95/XgsB94Zl0VrSCU8d6G7lEIDqMCO0pQ mFJgGRoBMlOdyS959xjak6ZcdG9TNBJHnQP/IV3HncqoisMupo4Kb9EGM4IR pa6oMgFYsuboYG64GPXg4JyVs+mmm/raPGXhMfymxREaco/Pq3/s30z21rgR OL4bO4pra12Rr1Ly1R6+Ak+AlKZM6agvVibHLx2MF/pMXZaf7DtEl+HQdDN7 WqbwbGj0SkEvdFmcFXNJrdx2ZTbfTqlZScAfYlPQw0MZ3zEFlxpQDr/s5LtK 8i5mMOVFYtGcieSdSBkvdKW9SU2qKFZ3vTiPVC/1oY767d+H3QfLiTpZAo+k vQ/ZmSXZLw6kjvnwYDt8AqsYeZPw+Fm1Fy5cGOrz3RahfAhHEAhgEgiSLv20 +y6iInGSPI6WFnl7TCgl9lqnNmjY2BepDao4uRRlT7BGN64xWQZ2XPYAGqsv TeuXDOjqqkv0j6sgsrBS/Wrr4rJly5JANWrX/+lPfxq169fyrqc6VgD/SPFg bfaiyswEAf5sE6Rd7Eq1sKOefAZhkWhRPF9b0IujC92uY95fXUEMMVtrZTvS U32l3Mv0FPP2YOa977775M0k0AYeRwMP8WZ0omXeDeyqqKJAEsZOJI9O08q5 ARsLXB2OG/rmPnYmU1o9oi7oHZaC5cuXK54V6oEWH8W0Fbg+b24YLef6T1g0 WZfCJ7rwl3h/ahihDYZiDRn0VNVv+1O+vUJXy3/U7uK/R3p4RjF+CQ5E6Ph3 z4EXk1YcPVwaRut7q6in/jie+mgFmrJgChXzwcyFRSMM8mozRweVi5jCNCQ8 MgKhihAHbRiWkIdXWQSddsp5MiqrkceUDR490bzMKoq5vgWUpdMCNViQ/pB4 BgwWOQi1k5NtYh37jinccRDCnTbvGTv+KWXKUHaSAUcLBGW/sjDPfOsGFp74 cr4nutIicMX1NQKZbdcBTNvipn1S+UEwYkJKPJCXgSK72DB4tWf6bsoGsh5g ngAYFsGwTiX65FxKfYlQjxYYjxKIZZdeeuksgR1hlfZIsCmRLO9GHRMBp9A4 EHIN3ciOT53nKrqiF7CJFlVOGxgYStrLrlTD6lr+hjb0OMEBNBk+lW1XDVVR o7u6Nv4IDxZBdKhnvi7nvNURSxOJ/PAwOKZ30FoyaW3SDmUDKr2WyRFEHoV2 oyTxisBoqiYlCQspUbTzRHP5ZGEJ8slK7MHsgSqJvPIwL2PTiZrVcMlXdB0P g8IjVV+7I5kHvWstVEG1R/gL80+yb2bCtGuW7IuihoWBu7h6Tls7mEIZvsQr sbmLcAsY/f3335+fQAx1mA24QEmUHEAtna86JjHzCABJU7m3Xwd/DUvMfCuT Xs8w8+RCyfzCfM8v3P42VmOEzLnnnpvAKm0rFMtnBUcZ5m7dODViAwriz/Fi YioUR/Vya5OCMkpkVS7goMQMJGsLaumlhEPwMIvIqCOzRExsh8zHuGU+fItv OAW7MO5nsfLTOdIhZDnGT/cyLDgew5imRQMnhLPruEwxAAaXfF8l3KcitVZZ ZZVMKOxHAMGALMryl+M5Cu4yA80D7sOm5FGQ1CzcpTjptBR+kKOthHseIS/W B5PG6U1ywb5hRQv9RYPSw41JAMRKVIvwqdr+jQ1BZS37nrB+w0rt5baJqGFg xIaIs28aGApLI9BRh0RoEMjB1hhztdBflB9LN4g4yCgc5dJAHB2OO85sl06B WgkIdcaeBuFU8igLdIXaIWavZNA9g+GcQd/byxzsri7ve1D7hDV7/fV2CrrQ SNajQSiIpyFlaL/agiFRiKt+J0U/8wnsSVyaW7bPcVdyr42I7bAcaG2nCuOJ mC0YiZ88OTJVULG62y1vyeE53sWH30bZkiMyINNp/I9ABs5UtkwK1Yxqgtdk wst8u4I9pfBMjFeeFXZokugwsdIeHTxsfi6oXcRMZ3t0sKkBLkkumyigM+pG oEBv8CgmOZQPHJ4beBm72lyhK87sbbwTkY+wGnM55unou2E3o9CJ6LTDbkYR 6vnW8yFRHzUZ1aOdUBz1rGOQA4riQyhJFIWfku8FQ74HhRcZwHxuyxElFFS4 EimhPJDoihhe6OgznTpY77FWITpddtllogSP6lC1JkpgJsySHhv1WB0I0pBw j0KEH/WXv/xl43SYJ0q42lOkhCY6WLsakdpDW8ZETjCGVNpBZNCuHMzryvTN JT+TC7Pmxu+zK0fYQyVkPawiQ2LPlqM6MYOYvw57J48QwsMJ0aVcVzcNiZ12 5Wi/Hx/2bOOt066c0o4WocTwx7251lprDYMSnidPw+woTdpCxwRGE+cxBMbA Nkvbd4QVVTUuSlhZ+m/bjrZVAw5K2LzXXnulY7rO7Y/Dmf46tHnsIspwx6Y0 5W049thjZY+F9TJmEKRD1VLA8NVe5ulu7G5xAR0dn4k9gTcRrWu5IkpBeTlW KFuY1gZiNZU2JXN4BQKXtvXh+1fGF2a46oSxXIr7FUqZgaCIkqwrBMPyujAo kr1Lh3nXdVm6EIY4wCg7/vjjmzA8y8cZr2doawgQK3njjTf2Jufrt2/ki16G p8GxS960Er/A50kZWXj5HZM3IiH/0wZj4+yzzy7xCwVSOXJ29+b+CGpbF2qo oilKUR/CIEtDmXZk4tDyAV2M05UKjlFQKni/3DSIZ1CIYVrqvxHRK7nzlJIC nQ8zKnlYJczmea6aUKE9nfzeDxVIgk+2Xxx9jgq2qV//+tdNqCjaHF8NYhnx FZP2HcvUK+tnIArluIu0Y1oNPUD53XffPQ7Wes1c0roIc8lFaNNDYE5IJMwz fMKr+J6wJHJeZh8CGzboS4G2RelQj9BZoQ/qlNEBsq+W0GftHDR+Ebg5XwmU mjod082IqPdS3g3hdlcKK7m9gIrM/EQt457VFsee/DJg2qSj9WIR5JiVhcWn vAybkU6B0XpYYp0K2sTcgViFyJblU7H7wFyaWKewotmBWE0aVvlpPqRICPO5 lIskprvomGtSRs+rrrpKlvbcRFcKaTvAH2d9ZTXik+2hYJXQ46VeU7ZgxqcE aTkDGvBj4ck3vhE1dNJJJzXhR1gj+CFrBXIIv/ykmRJ+JRvQiEDHvbITtkdH FPa0ecXsMB/1MuYt4tHixYvTyqxjYblbdUxwSVTeAK6WXxZ6EhFg2i8tvwIT XV6vF5jo/Dw7FzCHoWqLbBeuHKkXm0hK3BJw4RUr7VVqgotIb0SNQw89tAmu uABPW+8RgcCHSUQ1goQJdQpglORn2W8QehyjpP4NCyXeZsxpZJlqgNITMAUF sGqnk6SxSbXs+Lt2HhFU3Byoc8eROlEZDznkkLTVahCsSmdNdIGSEp3dH9az fP7gtVYqUqoQbdnygx2yXHVF/VHgemQxMnpi7bTnvutiHrB5QEHZBlCB2cqC EsUHkXLbArimMFiIgWhPnKQQLAF5oJehffrGhmIm/7EAj8EOymL8mP4Ah9th Ad4/PhEPdiGunOa404EyOMLVQGnpGBGTktitFBmE6hCOwWfFihW+zSzgK2Qc 9b7I6MAbrKy+vS1uTrCDlZqgR2FkMWA/bwP0WvNZyJELeYH0Sx0FTo2SphcX zak8KsY+KAJsumMz5y4FpJ7p1CE4ChD9QDGdQ4/1x4ssGJ74i839t5J5Qhjr QF3SdQ2BMcs8P3H+W8dPgcPkgi3gmmuuKTInHVLQizEOvt0KmIp5gik8Ggec li2CjFniwhB16pbRe5bXd9Ts7qz+6Ik3YwMphY9g6+V041KHnh3Hp+XjDGV7 FTAq8awxIcQ46QdnJQgJSMGu1c+4cJYPHR3ZwycI73aghHYlXnfddWnYrj4G CoiWBNgMiYJeVQorKYk3r/MyfFS954QQQ+OHj9BJj/eqRA0qFkD5F4fFCM5B Gal0GjDSrGC/uEQEWXwwbDdlONDRkliNe/P7U4dZte222yZeQJSQznZcs2HW jHPwm9CWasTRvg1oaxmiWQyRMfMu3xF0zL3cTWRl8KV+6SNPijOIylPm2NFF RkYdrZof34w5gsyl3Ik+aKOeN2Ao+sTT6viOx1qwkySevB7L8hR8TTRDQXau OAzNBjljS/KyTvAmFtbTGqXtiD17pOwZ0L777rvTRiisKAgAhOgrRLsfaTB7 5sMYc0bTMU1aa/PcIMrp35cHLJjlAEN5d2+6eRR+8YtfVCUb/Yu9DBFAp1Ep mLV0AqMyOcQgUc5HaOugE6uh4H/2H3n6g4EkGvUkq14SkRmigUQl0WiZlcVD uGVlrstnT8p9CEQe7R2zKawEjBiQCFgDMBLj911pdldKirnUgWAvC+NVn6gD RQooW64nWyhRYNkY2LINpt9xW/tl4CvjgqbzoIyYRL155HuR9dlInLSTx9t5 AP5I+35m+EH3li+lPelHCB37oQO0sFcju6OWBaKUDtAahxYtO4FjJvo4YBBE l1hWRQtI3xSZO3sZ9jAWc+yIHf/Ok5zWc989BUACVYd1D6IiVggUgBkqTih7 t41cyASwJVdaTkqGLycQNpCyJD1JACS/HTpBPwFQZTgT8Z+wEHTsu/sgvPbM kVdz22kUurrqTuNzrD9OymIep4aia2arOdOmgzJgAFcg4i/BsbHTTjsJSKJd wRzJKKhAJaOtnIHca2e7ko410BktVMBLSmWruRLZlaRU+SIJasbFQWoHc3YU NnzNcecNaz0iD3ESHftuK/uB1XhFRm9CNoiz70/vqeSg5MMMAnyCzyOAERR4 Lr8jkgXVt6RI58TGk8Je6QZiNx0hjKREJEjc18T3rCnf8h+1I/zYY4+NVVfG Fih4AhIvn6DpCCvkfsnvJQLrLC4egwOJyGT7DGXCVvv3+/kCRVjFPbFBtYGw ubipc6xWzSBGLuJuY0du/rYSzdqGxkRi907c1hO/89N95G0tHcPFMQa+Obro JxRVQNHDVwdTpWPKLuwZc2mQ/OTSI8ks0QeczjDgPFoAI2CBpPBt++7kIcKR MPFHnRLPWSRW9foCwiVlVNmStGsDD8UZ/ZE70wcayV2IhCKAh7A1PHdHH320 tj0SIkQxH6IEmDv3339/L744+ALvWOHvg/PBcrh76IjwYyXjTWyPaID/HIcA 7sJeTHaFBNFAawz56Cnm0+fgLwELq2VF5RTIhxWAfX5hdNuW5E0LWCg8Jo96 f0N/LBQqQiIHIm/OO++8qu3fmRu4aCgT/Njk5B0fBD+WKVpv+TuIUmVgpjJl JGXpI18e/V3CDcWSw5sacCtxa8Gc4zYIZtWTksY09KMMvAvKRr0cXMoIVB8R XAkImMzoojjkZrqMjJp5GSFllJPx6OJ5QAsWQxeR605oyVnAPTmruNNxMCOi ReLhyrXwTtasUo+0HQzWRTqcVZ6EQuE+pd+ejd6UoQdn1IUDnK12BAjq+MZ8 0gglhTEinzSgdI2DhRjOpFFm8GbUpkzq8ygEu5BvMYRGPT8+xzrLgOHuFC9D kETJwQKtaJgc7YMdHtoHHj6MGBh6yRZ0kJcpKo52ZbFsQLd00HIJXQUhksmA SPG8d2GsSjV9spdRhx6nV5vQo55Izf/kBmlCT75gQuLmET1FiXHPWteLCkJg P1QkKLDGsAmy7iMoPDd7B9tz8FO+du5zrAT6SV6GUqZdr48ogJ5r4jIUS0Rj gCKF95tfQge/sHZPzgM6cqYp5zknLsj4yJTH3sPdRn3R6Zh4zc5ndpCEAbvI i9GywYgNIkFQKiH1vJ5hhlf4NXNHSjsYcLB1p2uO5zCIOQhRonUAvh+i8pyR zojlItA/tBdQrtqynmbvmLKNRhBEH0xN8FxyOJZm2/OcYhj8YWYI1kF2PH2+ KDFZb7nllgYFe40IxEGG2GijjU70R5CweCQQISWQmh3t1rGNlaiWJFPZaqut pF8hWFOsz80331zUaJ7vzbCuYHXioOIAzWnz1+MIrfij0ala9E3VfWTSCV4P YR558aabbioiLEEWQyGyJS2pvSz9dvGA74MdS+W45HP++efL+zMPWBIZCpbc SevPpbHSGC6J64IU3qP8UHvssceIkMYRPWF5ADDOcDnUKXTSobW79wwJ3aGU SddUcHyO8ojwEeDPPCDNpQtjc4cvUE/RO0hYYV69cjToNE8QTlzKjVApiSHr HP4LwP7LX/4iqxref9rgeJRHDgnxUocYAUqBOGE0j0hPjUz6Gjcad2agnODW V3AR86X+SkDTDsBbb711WIglw5IIgbLLLrssiXRDgqvjxGADQICKuGTE18Mu KAuS3qivV+Qb/cX6gaA4bOTb4U48BFpJbKGNk8aDgNB4yvATDguBJE/FjPgi feIYEGgm54mVtxwJjEnjAoopYZFksbznnntOGAOcqjs2tkSQphN4jvLf8GRg dqGc+DiyD79sNHAUdYhD0tPPFqMOm8BZ5r9hFWM1phyzDzbD48YDh3BwgqXH AefF/htLpyRLtCSUwmNHAycPHMRvQqDCsHGOy330Il56MqbaxiCHcXbHSCwb DyqkfYnIw0J1tJfBVDjdiHqaHBAcgmK7HxGkS7wMn7pev8OQIB3v8wv+iHqZ TXXm3BHjQcI984Ow1mEh0VQmShyFlnMb3CYfqh0+GiDv9jKcM54tKukBREjL TTsscGJ7DGueZ1OsA0c+u25R85DRYFUopLg0nzBMS3GBJdC0hnNyCtJ5YAJp UOH0xVEUlDAX+YaGSpnkMXSjO4RPoiCRCTBjNNZhwVSWNeYMzwaFIoGJaDDz Dr6jYiiCPmc80DMxPB0FPAhMScC4InkemUHRnghpiJHhE+7C97NHg6u0BacE g9nNJ+yAkwXKw5k+mHRpFA8I6wZxeHuNBoci2U444QQbdJh4ho1kPNv5BcZE uogPvIPNNEFIUY/CydS0pRHbfTQQ9WrIzYZaNgUbWxkWzmianzBLhnvB7X8G lx0NscjbzM+Qesw4QMbFSd0Tlt29hwTxwqwexkQY3kK+H+xEJOG/Ig03GQ00 WeyQCuTIkGeXHTv4jPj89a9/HRbcyyhbjaeqGbMNuYZW5w1rjwafphnefgy5 dcafWYaYamzk3X9I4Mxb0DKhJ556qy4V18PWTqNxv374XteJTC5yjznwlosA v9qJhxGOzqL86quvFsy+ud7uSjCL+yECK41JKXmbduSxOZZyFkJMokzVQPlj /BHitfiJ9XVN++5YhI5G4VFHHXV2f1xk/MIctGLFClvB4jo2lW/ASyGGxFBx tuZzGxBT4t1mxKZM7GFVoo/YLMFiioDHjpLXOY01hmB9YYlpwESHIzFLdByE jOVs9qAeJjslQM4CKJM1eRxsFM6D8UBhx/JBYO7TXuTXjjYrJDwTjuq5gRTV kMJ/WDvh++Fv6DS+23kyiTmhpQ6GUeIrCB00KgoKXqSM/Vb+OlsXLGJiypfP POn30+cJZsrYQjsizDKOMCYhLduDgmanaA062a1byR2OgxorImu05Wqtuq2D w2I03VNGPa2hed7q3ew7ps6HF2BbBi4ParCTPjTwc0q0/S3UwSbOM3j7udfR zOF/sTFe6bvH03imim8I6irjIJI6se2ONcmJCcQaBJWrRYFAwguK62KmjSnj LkT/sgADFs/TK1F+jTXxKlEe5lQoi2RGnPe6CR7iw4GJHEqK8h2y8w92ClHd JRZjjAwGpTIJ3F0HDSIOAy0xyxL/5quT45EjC20xQbxjkSUqnot3cE9wDSCG JUtEyvs7lk2myHPkMFY31JPweHzrhNFPl/d5lwu5u79XyfvbLrRDnApAREw8 7gv+xwBx/vnnq1vybm85KZhJGBio7kEmKcN4eFxIKQ6GNF0qw3XhVeej5/2g BcTAjnL32pXiRaMni4uBGOgs8zqjgGZYFUcbBZPmX6bL+CitVOiD3fwR1F8W PuwA+fYSFy6r/r0eo0t1Br0IRARXb73hpvnkrG7fe++9SbGgkYJv1ROSp6Zn d3k7JXvJy5DHsW3ns506hJFGKS6W5WeAqd4c+txCsFsWTDJhgiYnn0lqOvnk k+MsKAURB1bVMhG9rbRq1rzkcroIEw7bm7VbZJzlbC//Jcvea1fW3XbPhCbb BQJAifHPpasRPvELHnDAARPZz+xv1uXdrLco0PfnP/95SsbEcpPtRLVuOOOM M/ID2uaxYxU7jpMWtk38Wce+p3O7s13am+H9L1ZciCWPyk6eOl52ayKjwS4s +slJnPe3gu1xPXn6RvV91ZQ9nuhq0kLFNSJSsrfvHX5xh/G7faKr27Fozkia Y/T51Kw+h/ngcMP+tJJmtGIDWa/RJGEenYIiaAHxI4e7t/Nw90pGDMoYPPhT FNlR6nzcAopfY3NIv85/qoMF/Chkzuv/r/V/O+//BApOUohArLA0dE5en8cx oFB8goIIfSSdj+3rrCa60vFwzTEUHxs7vDl8QiW+Y3CIhohILh7DPmllksmH iHzFpN3xKM3i0HiKdwaGZ1CTiwf1LMmA/1eHiFIRwiacqPL3zoeAp5N6kJex jvhnZewXgO74Gvg88MADWhGII8T7xZ650iiQVED/8GjdRyqI1usp451g4XkI LMs1z7F1WSt571BwGOZ7KGC8CYryfA0F7bqZ8+qwUrc3oDojZIdPFLer7u0N R2bE0/ajYe2ruzuR0aUoQwPkXbvvvnuiTj+hX7vz1Hna2z1Tr2OdTEAe0l1Y GHOhm6iQfAjl/cw1j3I/2WJwT+dyv1QUjsWaNylhPsdBPKwq8FT5KMfv37hL Gd2Z8B2FdZVUeDbbs72QfBGo8LCf8H+EbY1ZKjxmFKK0ib/yqpb2ipWAMAVl 4aMcIwLxb9LJAROQ+I2gI8Dhf7b7XnTRRU3qPEnY0Huoro2UBPlVuTo/bQoz G+exXpKZgoujPai6//77j8XsZ3qYvFJhyKuH2TjGDAifOBfi/sfuHo4/5of+ KlqC+ERC9/MJNU6H7+ZlbCnA4kGWFuVTLNnoAJn93rx/2bJldq93JBvdqolZ I3VQhdlIFS1d8Ht6hcQwlHOEp1w/1KcLCHvdc889WznVSjY65gVoe9SnPY87 gtmrOth/KGevKnUQjLnPE33PYRF/g78GAQgwiJ3gwtyPYtZvaW3qEeVGiRMt lrGtz/WFFBWQL1CrzB2VM/yFqAVs7cOQi56Nbyrwu1GxoMMxtrJjXqs7TeIN YCvmjisHizfF+RNVOvfdWbVnDAl/ZIQLTDJnsDBQZQkkGZgGbpTi4/MsipQH 8TuF8KHmwyDj7FkpuA7rsY+r74RZgeDv+uRGPJIZUBbmZ0KB7YLk9c9RwBLp 8WkJBeY6z4a5trJQuKN/s/EkjRg0qhih8FerJEVK0DK5MiGYNr5H6DgCC6H2 WIM5PYtHgkA6tTLfPvNT3jPz/CrlNwVBPNOcEbAgTjjy0baT5H/ccceF98Uy xdmN8T4dFgffwO2FRcMG4k+pqUA/bBesiBKdglwQGg0lVTvZ7guNIrUwmsNq Exv9iY8Ykn2Ja2iTaBZMWP3U6yG/qJ775q/06ni/kXyhgFVY7j+wvOH6DZ/Q TviO0S4p5S9CKUSEf9Xp+n53JcLDAIadQ7Mq5cNB52e1sgdZXHEP9XlwKvWD b9Qzhs3ZZTDymYd+0E1M5YWvfATGK6Z8yQrsOmvlllYP+n9XM7UB\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Although the response is switch-like, it shares with linear and hyperbolic \ curves the property of being ", StyleBox["graded", FontSlant->"Italic"], " and ", StyleBox["reversible", FontSlant->"Italic"], ":" }], "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417730999058295*^9, 3.417731052002527*^9}, 3.417830464558386*^9, 3.417830880268196*^9}], Cell["Response is continuous w.r.t. signal strength", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417731068211098*^9, 3.417731098273916*^9}, 3.417830464558661*^9, 3.417830880268939*^9}], Cell["\<\ The final response is the same irrespective of the path taken:\ \>", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417731068211098*^9, 3.417731098273916*^9}, 3.41773117511369*^9, {3.417731208009139*^9, 3.41773123328059*^9}, { 3.417731285656821*^9, 3.417731379256637*^9}, {3.417830369874708*^9, 3.417830385533625*^9}, 3.417830464558879*^9, 3.417830880269156*^9}], Cell["\<\ \twhether one increases signal followed by a decrease, or a decreases in \ signal followed by an increase\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417731068211098*^9, 3.417731098273916*^9}, 3.41773117511369*^9, {3.417731208009139*^9, 3.41773123328059*^9}, { 3.417731285656821*^9, 3.417731379256637*^9}, {3.417830369874708*^9, 3.417830407855729*^9}, 3.417830464559042*^9, 3.417830880269317*^9}] }, Open ]], Cell[CellGroupData[{ Cell["Signal-Response Expressed Using Goldbeter-Koshland Function", \ "Subsubsection", CellChangeTimes->{{3.417830932832483*^9, 3.417830951314726*^9}}], Cell[CellGroupData[{ Cell["\<\ One can write down the expression for steady-state Rp in terms of S:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417830571909154*^9, 3.417830600747124*^9}, 3.417830753366599*^9}], Cell[BoxData[{ RowBox[{ RowBox[{"RPSteadyStateSoln", "=", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"RP", "[", "t", "]"}], "/", "RT"}], ")"}], "/.", RowBox[{"(", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"RPODE", "//", "Last"}], ")"}], "\[Equal]", "0"}], ",", " ", RowBox[{"RP", "[", "t", "]"}]}], "]"}], "//", "First"}], ")"}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{"%", "//", "TraditionalForm"}]}], "Input", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417730343041356*^9, 3.417730377109255*^9}, { 3.41773043379793*^9, 3.4177304446558*^9}, {3.417730684103751*^9, 3.417730722024022*^9}, {3.417764758033305*^9, 3.417764802836386*^9}, { 3.417830320070081*^9, 3.417830320605378*^9}, 3.417830753366724*^9}] }, Open ]], Cell[BoxData[ FormBox[ FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", "RT"}], " ", "S", " ", RowBox[{"k", "(", "1", ")"}]}], "+", RowBox[{"S", " ", RowBox[{"Km", "(", "2", ")"}], " ", RowBox[{"k", "(", "1", ")"}]}], "+", RowBox[{"RT", " ", RowBox[{"k", "(", "2", ")"}]}], "+", RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"Km", "(", "1", ")"}]}], "-", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"RT", " ", "S", " ", RowBox[{"k", "(", "1", ")"}]}], "-", RowBox[{"S", " ", RowBox[{"Km", "(", "2", ")"}], " ", RowBox[{"k", "(", "1", ")"}]}], "-", RowBox[{"RT", " ", RowBox[{"k", "(", "2", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"Km", "(", "1", ")"}]}]}], ")"}], "2"], "-", RowBox[{"4", " ", "RT", " ", "S", " ", RowBox[{"k", "(", "1", ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"k", "(", "2", ")"}], "-", RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}]}]}], ")"}], " ", RowBox[{"Km", "(", "2", ")"}]}]}]]}], RowBox[{"2", " ", "RT", " ", RowBox[{"(", RowBox[{ RowBox[{"k", "(", "2", ")"}], "-", RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}]}]}], ")"}]}]], TraditionalForm]], "Output",\ CellChangeTimes->{3.417841590993218*^9}], Cell[CellGroupData[{ Cell["\<\ This expression may be expressed in terms of the Goldbeter-Koshland function \ (see the reference paper by J. Tyson, K. Chen and B. Novak):\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417765634355986*^9, 3.417765647598088*^9}, { 3.417830606281987*^9, 3.417830651267754*^9}, 3.417830753366855*^9}], Cell[BoxData[ RowBox[{ RowBox[{"GoldbeterKoshland", "[", RowBox[{"u_", ",", "v_", ",", " ", "J_", ",", " ", "K_"}], "]"}], ":=", " ", RowBox[{"2", " ", "u", " ", RowBox[{"K", "/", RowBox[{"(", RowBox[{"v", "-", "u", "+", RowBox[{"v", " ", "J"}], " ", "+", " ", RowBox[{"u", " ", "K"}], " ", "+", " ", RowBox[{"Sqrt", "[", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"v", "-", "u", "+", RowBox[{"v", " ", "J"}], " ", "+", " ", RowBox[{"u", " ", "K"}]}], ")"}], "2"], "-", RowBox[{"4", RowBox[{"(", RowBox[{"v", "-", "u"}], ")"}], "u", " ", "K"}]}], "]"}]}], ")"}]}]}]}]], "Input", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417762463452888*^9, 3.417762567893212*^9}, 3.417830753366981*^9}] }, Open ]], Cell[CellGroupData[{ Cell["which has the following profile:", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417836578096272*^9, 3.417836602791055*^9}, 3.417836671711563*^9}], Cell[BoxData[{ RowBox[{ RowBox[{"ParamRules", "=", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "3", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "4", "]"}], "\[Rule]", " ", "0.2"}], ",", " ", RowBox[{ RowBox[{"J", "[", "3", "]"}], "\[Rule]", " ", "0.05"}], ",", " ", RowBox[{ RowBox[{"J", "[", "4", "]"}], "\[Rule]", " ", "0.05"}]}], "}"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{"GoldbeterKoshland", "[", RowBox[{ RowBox[{ RowBox[{"k", "[", "3", "]"}], "*", RowBox[{"R", "[", "t", "]"}]}], ",", RowBox[{"k", "[", "4", "]"}], ",", " ", RowBox[{"J", "[", "3", "]"}], ",", " ", RowBox[{"J", "[", "4", "]"}]}], "]"}], "/.", "ParamRules"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "[", "t", "]"}], ",", "0", ",", "0.7"}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", " ", RowBox[{"{", RowBox[{"Thick", ",", " ", "Blue"}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"Style", "[", RowBox[{"\"\\"", ",", "Large", ",", "Bold"}], "]"}], ",", " ", RowBox[{"Style", "[", RowBox[{"\"\\"", ",", "Large", ",", "Bold"}], "]"}]}], "}"}]}], ",", RowBox[{"PlotLabel", "\[Rule]", " ", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", "Large", ",", "Bold", ",", "Brown"}], "]"}]}]}], "]"}]}], "Input", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417778584457289*^9, 3.417778626789248*^9}, { 3.417778855695805*^9, 3.417779010591973*^9}, 3.417836606055822*^9, 3.41783667171174*^9}], Cell[BoxData[ GraphicsBox[{{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwV1nc0FXwYB3DRkPkmCkWFsjWMFPmKShH1kkIqWSUVZSR5NZAKFTJCIeNm Zm/huvbFNTPKzrrLKJLUe/vrOZ/zPOf3e855fud3nh3WTsZ27GxsbIqr2Nj+ xmiLo4GEDCOtVo/W0bT9ilrqJCmKupQCjvUlH5bv5EJGWpfrsqQmxAmrXn3v E8XVbUp1nyVPIqivZYQ2KYej5hbOzZKWSK/+kaW8RgMq7jOkGsnraPCT0wjQ MkCarwazStIL3SB4yOWdxwT35dWVkoEgPFc5W5h2HcMnjlsWGr+BWT7nzv2y DyBBlpa2q09CzA7nJa4/TyG+sl7HeCwJWpmTSn0yzyCqRLMEWzKOiz8JJBk/ w8aXWSEi6skQ/jwmS01+htVnDvxuJiRjKlu159HpAIz363ep+ROwnbLQMv8+ EKnUGz6cx1JgNaeyFO/0AsrceYNp1ekYr1MkOGWEQOrrHurCcDpeelf+OlEf AsGKjIXDbBnQfFszpj4agoXbBN4ezQx8++nTeEYkFCV9URqrCzLw6x/tp/6P Q6GT+jDC8n0mLPZf38OwfYWURALh8bEsvLrTsHx7XziKdd0u7ZfPgfkt0xWv TVHQjGvabnEgB23epffFVKPw8deOES+9HCg8F1XsNokCKb/FlmiTg8LXLZ4v g6NAkZa5ZhiTg6dR0lwKfNGY5O53teHNRYoZJ0WYJwbCndrPXjBzIV8xHxq/ 5S2i90QY5KzkwjT0mcKjQ28hHkTn6eLOg8KR3Z+9L72F1LGoF6IyeWAWtXM3 J7zFnqL5V0lWeXCutvavVIyFXkxybGlbHvio09XBknFwt+XJn8jNx1bSjZe3 jsfDRSjr5oHqfJxUr0jrt4yHc62JTEB7PrYxN24xvxUPR5noaKXZfDzRF7R5 HhUPK5rsIzelAph2NcV9pcfDwFXvFEdKAbYKxVRfinyH7b6PpsTfFqJgo02K 6UoCxFR3JThnFOK8b8MhG8FEiI43WBLLCqG09+qyv3wihI5voNj1F+LiFan/ NlskgosnriBduAgbgkPdjIsS8T203OdgaBFa47f9Onc3CY0JP8TOPimGtHDo YiYfAYt2W4ytIoqx5Deb4iRDgJSM1uNrycXIKtt51UCHAO90H4Y3qRgqr/Wz z7gTsC+fr4LAVoIlfQu53EEComulrJY8SpD/rvp+beF7XJ86/S7GoRT+tsF1 L71T8TrNpTvZoxRW76Z6uWNSUXsjnCvbvxTnbVeWCMWp2D7Xf7smqRQNRRU4 8j0VXT/tdRnDpbAd2MWx8WYatHj+G4NFGdYbKwto2qeDf3fKrlH9cpz0KVe6 cTsTtUM24dNm5ciskZndF5IJ7xDxtXP25fj3v4OntuZkgvE99CubTzlMd65v spjLBLnMO1G8tBy5elVng1w/sOZyRsJC/iNarA2D/yALbPZ/xNq4K3BHaJjL xSIbRZtLgnpEKvBB20+s5Xo2nBpcVwalK1Dn8vQA7mdjQGH6M0O3Apfb5eRs E7NRNt8ZzeNVAdtroifKmdnweJgqcpxWgW6ix3PKsxx4tKQ+u2RfCQv300FZ HbkIbsv8+PNGJT5Vj62amc5FamfOXJhbJb53/st5mj0Pn/tKLMi+lbjxKvbT 7b150J5olDuQUImiKTl2g+A8rGOjNgoMVYJ0XmCN77l8hO+V5641r8K6VHKV GlshPqjsxuXLVeDd/EZfZGsh6vcru/y6WoX84HiTXeqF+HlIo3+fRxVMugsv Vzmz3pG+QVpseBWqvptyrR0rxE4bR4O7HVWY0mUXk+goQt6rtAAFQyK+Nrd0 p3SXIOTFvQvHzhDBkc4D+4USOD8z2G11nojBXY/XntlUCsUH1PZQByLydTqc a86WItlRXnTZj4heP4oMT18pInTS3jd8JOKbyhnJ4OkyeM6k1tjvqQZXRvYg x/4KmFE9Ix7sr8bmIqH5LxcqoDau7xClVQ27zmvrf/pWYK5/mqflZDWKh9ZW /eyogGOd3BlVh2pslJmSizxYCcu3qSMc76px+VK92sORSuBk6p+4jSTMR+8z zD1FREFrMV+EKAkq7D4H3K4QoWDSIBa0g4SQg0r3rO8TIWwxqXF3NwmuWtrF lR+ImLmyy+NfAxKiBM/6RQpUI87n3cwqHxKcTg1xiw1XY9O6nD+LT0nwfHiR vWm5GoHPqvgYL0n4KralL20TCR7BQwp9b0moe73uCKchCadjxR1ySkgwVfy5 dLCMBLbSqGHrORI+8hNE1iTVwF0rdcZsiYT1ww/2SFbXgFZV/MeIrQa5Et90 /xuuQU99j5gGXw38pgvGJsRrkdW9yWKjXA20TY4LpMTU4vJcSHv15RoIv/Pz vZVYB6JsQLVUWw2Ox0tvVZtugNu5KqOcnhpkha/4+go2QsZvsRdDNUiTiqxQ RSNeDNnMWDBr4J+qJFcT1gjLCE2xYN5a2P9RnSnUa8LCaob7yolaFPusoyxU kJGyT4o94N9aBBJPDv+eIcPSyiJI2LwW94Jd5r0kmlFdWpugfLUW0k5r9w89 bsbL27EUh8e1qGplt7ti2gK5odNy3cRacB9lrhitoeALr3++TWMtIrY/3t22 g4KXGuXas22s88hRg5FaFCyGy57jGa7FkQv0i8seFJAM2X11/tTCOMVWadss BRdLc79katSBi+ZHdma2ITh8U7B/Xh2SrGRv7JHpBFeZcEloaR1mGG805gw6 8WhYdDSWWAczwpek306duK2wTbWIUoeRwKNNi0WdOEOU7p2k1eFlkqT8DaMu CDPUd+jvrEfQOevL5/y7EXf0fDZPeD1Omi7TU5R6kfktti34TgPW+nHpRwsN wpZU7656vwGBi77px/QHIfJqdkvv4waMXpwm07wH4ausa789vAEigv8qiE0O 4vzt8Z+ZeQ1w+U3X+GI5BM4ZBSnybAOmH2yr/yA/DGtqsfva643477cJ2TJ/ BMKlI1tSXRphrz2r0UweQfMz7irDe424W+tIFxobgbrcBe6wZ40I/GFIUhQY Bb8DW5xkSiN2rgoQd7g+irLxYw3a441ov5awt1R4DJtHOrbcs2oCU2dvTtOp r7A9qPn755UmlHSpiztd/oqckMQhT6cmuP7OfTd5+yuMdN2SPL2b4HfEs+9i 2Ff4Jm7a7RnThLNbVQcu9nzFjL25zt2eJhzVG/0xfXYcWhVVUkuDTVB6cugu v/04AjbLrbs70YSyvDPhfG7j2FX/s8ljoQkP1XcvvgkZh6VsjKmHIBm2HzlT uMjjqKcOXL1zmgyXa0oJV9QnsOmInsHiOTK6qo9qXjw6AZuYD4p3LpGxL96+ V8V4Ar9PPphzv0mGwRLDw8dxAiqZO7zcA8lQXnU15UPMBOKcbV+41ZOxLBGy L2hpAh7fp/JdtJsR+uJL5ZPYSQQcFVe7rdeMqCS7LI/3k3gbZlzgbNQMl1fR mqbZk6hWLS24YdkM9mMmq7qIk+BzDyy84tEMnmN8P76NTSJxQan4fFYzwvRP JI3snELhMZsDFoXN0JIVNM5TnEJjeESx2cdmWOtM5bqpToGpxlZiSm6GXSTl RP2RKRy801ZyarIZxjNu/tnWU6AsupTpbm/BNfmK6aLoKYzqvdfUkW6BwZq7 va/fTWEh4nOZtlILxMpL+W+kTGGL+tHyQ5ot+K+sb3y6YAr2Hps+7jdrQfrG 7H3H26bw60dRhfzLFpiLZ7gQOKYh/XOFuJGtFUGSG850XZqG+zezipR1rajv SB7PtZtGLSO3FPytMOd8MPrYcRr2ow55juKtWKI9j+a6M41kcldStWYrfLJX OQYGTWNXbMYTl7utKIzidAwtmobUkQtGHXOtsFXw3ui4jsr6Z4v0HX62YlIg L5yXhwrrmKcJf9goSLeQbiX8Q0VO+FhsGCcFDYpqedUiVBgHREVWbaZgzuzG i2h5KkJc1z4TUaNAOben7LMhFRv0Bq433KZgW9WPQIkgKrZWzhabuFMw8cn6 YdxLKnYdWLNu4C4FLbLXdom8okJTXiF+7gEFSa4DWT+jqLDn9+za8oICQ7M9 ax+8p6Lkk5DWzTQKPrxz1n1DpML2qiH/xjEKKmcbsq7OU3Fz2MryzQQF4dYM gX8XqLhr4ZoiTaXAWlbFRnWJiucno3U15yioiDrEnP1NRdGeqTt2bG2YvHw8 UoOLBt4l36HCrW1ocbBkF95OQ8HTsmxL0zYkM1UnpE/QMHhutGyfeRsKR2M5 2gxo4NzFVc95oQ3lz9fZuRvRcJ54biDPtg2PrC8KFZjQwLY8x8Xr2obddckr 6y/ScOK6rG15SBssNHkPcN2m4bNR+CZxShsu7tfbEB1Bwxqx8h3fOtogH+1y sO81DUrUUYXGT21QF/vguSmGhgf+e3XdB9vwxuDW2cdxNOysJDu1MNpQpbwk cCSFhpt7ORq8edshPU9R1iyhYZWg871B/XZkjonuO9xHg3uyWlKCUTuSMt8L SX2mgaa+0nLFuB2F1M0Vqwdo6L7wTGLGvB2j5ptcKoZpSCUkNrA5tGNai6tR dIoGY43ezRL+7bjuTHa8vkhDorVOnm11O2xUzGJDBegQ+c45IFPXDs/Oe1Jq gnQ8929dR29sx9hFtc/dQnR4pFued2tvR7CFPFNAhA7DBXf2x8Pt2GzUPe+2 jY6Fp2mnCX/aUfnRdXpKno7j2YL0KY0OJNtlf4/WpSMOVXY30AFuYtjT2SN0 /Gi+MTCj0wFJntWdR4/RQZiubV080QHXku7Q6eN0rJW6m7PGrAMHM3/PShnR QQr/cmeHawcU80pzLprRAa9kdvP0Diivdp2fdaRDTU9duH5rJ9wcMkKoL+hI l/thFLG9E2vrtXcLBNMhwVfkZy/ViU8R8kX7Q+jg79o/v1qhEz0vVoXdf0XH pPX+lsManbCPpCWwv6Yj2lvNt9S8Exmiv899iqeDrUBlJjO8E0JG9rGkHDoa pfbWh/3ThZJdRLf5NjokV38ylBLswjc6qa61nQ6vUa+OnM1diH7JeyOtgw6l d/UDreJdUA4Jy7PqoiNkm9X39YpdsBM9bFjdQ4e56AsJ7xNdWN6peMphkNUP P93L/lEXRmLc0w7R6Fiz/H7v/m9d0L9VJqS4moHUt4yu3MUueCub7Rpi2UhH xXPPchdORzoWh6xhIPJpBVGWvRujxmscFtYyoCDcbbL1n24En937q3A9A8aq HO6rFLqxIfT5ZSl+BuKcLpQ02XTD50med5IIA5pjG3StOrpBldHMu6zIgIjQ 6V6Pmk+o1BjplTZh4I0Wr6wdoQeDW+gB+rcYqPsQu6Id04uwksdk3yAG6MqS nomBfSjyNz0flcRASdbOrP7r/ZiRChB2KGZA0W3lGrvVZ9wP3Dt8j8yA3r4z g790voDcYfjA+jMDF9hjlr13DEApuyLIdZp1v2hxzIzAIM6mKU7o/mDAS850 UfXbIARrPYMXOZjQOWzjqOo6BFnZIfITfiaiHPoLD4wP4T5hrOmaCBPOW072 rDo7jKdT90+YSzAhcku69HDrMMI+TF8+Ic+EkC7R01F7BN2PEcCmzMRYUd0v ntIR0C/culJ1kIm9RTXGt5VHscne+mzbYSbalX38qhJG0TuQ9n1Bj4ljJmme T8TG0MNpd2ifERO8zJCTB16MIToxZkuSCRPGgi5zGb/HcK1ff226GRPXvpRb RN35CoFTKr+bLzDRLVEf6zz5FUklFs7/WrP64TlE+Gg9DrF/vCyZ9qw8x5Zj zSzf5Ez4+teRyz/G+lkW5m64OcPyVmqexBLL53YLPJxlWaJR4a2yzTim5iOT 5lne82Rr2HuWK5w8GIssn1z961GI7Ticjty/z3aFCb5fvTviWQ4L8OdcxTJl vrDyA8uWX54H/7XJqMtvMsvFcVEJ7CxbEKl319mNI5qQXLea5asP+p29WL5S +JJ/PctyHsX8ASyTUp5G/jXNKSLzNcv05Ic7uFh2umRCK2CZUHVTmZtld62m K7Msc9w9dI6XZXW1lLVsrL2Gg6g09NdLiv5JfCz3C21z4GPZS0x3VJ5liYFf nvwsawnteHSQ5ffG0xz/sMzG+2f7CZa527sD/5q4+kvFOZavWRKFNrDs86vk ov3f+tn0t3/9PyB8Y8w= "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->{ FormBox[ StyleBox["\"R\"", Large, Bold, StripOnInput -> False], TraditionalForm], FormBox[ StyleBox["\"Rate (dR/dt)\"", Large, Bold, StripOnInput -> False], TraditionalForm]}, AxesOrigin->{0, 0}, ImageSize->{500, 400}, PlotLabel->FormBox[ StyleBox["\"Goldbeter-Koshland Function\\n\"", Large, Bold, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], PlotRange->{{0, 0.7}, {0., 0.981331643975456}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417778894931241*^9, 3.417778962529703*^9}, { 3.41777899628411*^9, 3.417779010738343*^9}, 3.41783661699301*^9, 3.417836671711881*^9, 3.417841605338643*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztO39sHFda0/05ttN0+yN3S1NuvaeQi0nvFOt6IUsKc16IQ30pkD3SXkzC XjAhDa7hEreUahsWRVZlVW6FWqtU2U1GyuIoqX/80djlWq09SJFdQvEGlHhL 6bFzXMDLOZAB0jJ3CfD4vu/N7M7OvHVbRCtOotXWM+/78b7f73tvXh8+8MRj BwcOPHG470D7zqMHvvXY4b7B9u7fOQpD/tsk6ban4Hd/RILnH0jh70oxxtjv MSZJn9bfvfCf4OSejJExJveknpN88O6fNSUJfnF4bq3DGBt9Lbmp91rquXY3 YObl0Rfzl/sH4iJulfckqXqfhEQhJ5Fv9DXJP7J77B4AxNwc8zeGIiNH8jeE HDsOgvhMWmcrEIheNfYb++OBAEJJOUbz1QB+BORvVO9zA4iifELusgAhG8BY 5T1gBZPtIHafc1KhFIHKLcbMucjxdg8kctqcY3rkeNwjQv8AiVCX3BJW8kje ABjaMvaAZaUagPilXpW7xh4gT9UAZKKFKD56AYHym9X7Zl6XD7R7IJK0sG32 HflA3DOLcSx/+ePZmwDmHJk15rGPOWeeqrwXvRB3Q4CktNcWu4Fk5uXea3LX yBGvsTt29A/IXaMvemmYzlj5zYVtdbntQCKt0ArwN+4EEF1p71Akf7lvTbsH UrmVuZS/0ft23MMMgrzdNkIDycK2nsO91/I3vJBZM3Np8smZ170C9L7de633 WnLTOitTf4vEfbnzWTCND35yolp6mrHJPXHwU/RC9cHbEPEBhzPg9wA3gYTm JHsEjf1SOxB3QTL6BARfgZQE5EB8A46MPYAv/t63CSyaoBG/f4DwR47U8b+M +FUFKRB/awN+4i3CX9hWx/8iRdw2SQpzTD9izr5DKvsTVUL02YzDM6okZVgv S7B4TE4DUkxqAcRYVE/ovWxImcyWNbSVQ+ig4zn0/+Orjn8SPNcwFkJfJmXj GA67gwoHwlVlAUJmSOlTkrEowmJSGEJYSakZNpkuaxDSvv9jtvpRGf+EfIr5 GcZcNfb3XgNXbajc8vq2FX1raqXsmJLRU1pHWlIoZ4OSEmUd2VGASHc48L/g eN70Mce/0EQ+XK/lLklKbvLKFyEddZRvUIO4U0g4OZuMZfTJtKmSAp+scIxh PYca7RHuM/Brq8bGlP5spwaGi0lKQh/UZnVIBoDf42IjH5CkyGkvm3vRD6Y2 yzIsoXM2Uf2PmZEFIOofME/hchG9SqvQyG58yVzysMFWqMXUZrSEDoUXmCRj o5qRRuAaRBu7J3LcWqmC0QuR03JXx8GRI9TJNPD5PPzkUjqjdxCXlDqZxSWb fdZCBLyfwKgpq4NqVIfKzpJKhRRe52aFxg7NaGAcYDSoVhUYvNuN9JOINKv3 xVD1PqUag8E73Uj3I1I11g/xKYNopgqDd7iRvoRJUI31olA6LEQwttaNswVx SumOrBSLK8vMtk4DTiclEyxXUiyizmg42ObG+TLn06lKsQzj/m5x4+Bz0NRA s1hP1iR5ZDfOVvTpKERPp2qkYSBct/JPIWgWnBlXKogbctNuQ4RSOqLGY2S1 oBshQQhZOduRJYt5fP3TNAWkVadGzvEE1XZ8BvFiYDAR/EF8ToERRslMngbm Z/C5JyvDCoEDnoYF4QEjHYEYoSBrhP4sPk9m0cSSDQSYgsPgZQy7/3LTEBA4 qsmYF/hVWx1g+p9uIHTFPoh5PwnCpJsCOEgDSdGflf7DDUwCsVwn/qEADikI kTCmSLfcwJ/D54402MCaFhNHuMfzuanyEOywMteohHsroIISRiKYakRNaQ58 544myHc0+Cp1I/YgBCa0ij/0cCdsvpOoY1cYeaqOLezfnSrsoPBIxyF6pR+4 rbLDNhnoJwaaqpyGkuABkjS9LKJCYppCIFSH2GwzoKnJWfCxB7iTB3sUn/+9 Ho40nAfdS+nacCMN5D4sr17gL+BzgpHfPxACh0B9I9sECHbBQBYDmQ5KpL3A h7jJO7Lw930hcEihOcVAMFpsJF0DAoyGGeRUQsCwx6HhDSEQAkYB+4iBOBsU YDHQ1CjcPMCvUTZlk1gJ/k0I7FMgNJoB0ZMVvQmwDHEDIekB7sJnjBr4+691 2+zi6id0x3AjTT9U56ZASxQxEDqzGFQjMRACHyPOA3yY26YH5/wXIbCXUXwT EJO42cGRz004kqWwqRF6zmwC1pmN9Eu2a2cd8wgPSvxUuEgjKEOxUdWBLzqh 8DuE+kV8jqj9afhr1KhExwO+RipfgnlMQ8z60xQ2hhCIqwrIKAYuxKjciIHQ o8XAeB4gmSkKjRH8vS4EJmOUWDbQb5nWiikxDS4YlWZArCiQb2IgZCmmvgf4 yyQn7Pnh7z8LgT3QJzUFDmpyuimQMqAZ0JJWDLSktYEA2+2w5z+5aXZze1Km ioH9abKqGEjejzUBovdBTjEQUga97wGmHNJeEwKTCllVDBxUyao2EGCpmj31 JjRUUbJNgFhtYTXyAL+Oz3ElhYG4IgSm1LjSFAgFPAasxUBstkAoAnpaIvss 2uemwjYEorxGJT4FdpL9Cj5HtD4U8/s1MmdBqh3D8lbq65b9tQYC4QGoZx7L M3Uy4fGjhwwbIWiiv+82FAHL4DlY7D3APfQco6XwH4VAq4SIgdj+gXPEQOzL IQPFQKzWENUe4CMULbBFg7/VemzScK9OfWBVSAOlH8urGAiNFwauGAiNULpf AHyUsVprsiwEUmuiNQFarYkYaM3pAX6DUTWkfPiHuvrfqGkYqw030lR02mJ5 gHu5PWk9/3shEMMNaqEYiBUUNiQeYC+j4kNJfVUIhGqYBtuIgQt8n+MB/iqX lsLxe3X1aRg7XVD/e0IaAGCr5wHu4/aM4onL3wmB2OjntSZA7JIiqhe4H5/7 FCo+3xUCcRvVIwD+GqkClNAoYoxThoedZat/QPLlL0uBwRd4dfkmo0VAzqYc FI2lRO4qnyifoNpTmyhtTwRxWKmRNZQsmAX+yV/mJQslCzBIsY400/9WPFHk NE4UOe2c6Ju2FSGd62QNNWvwhfzl/OXBF5xkB8gzsPGHyP2O20oErILpEwLg rzOr8icV6T03sI9HEKn9NyJgwNQ6shG1or/rhv4GQissosUVI/3XbuhBRmcp MnQqRvademz+JqNDGDwhMdWym+oQQsE4Ske2GltyQx8jWiZn41C5r7ihh2nG bBT2aWPKZTcUPy4Fq9CP4DkVJNpfuREeR/IuhuAF5S/d0AEkn9XRUn1YN0tu hN+GX8jUsMJH1CHYgf2FG+NbiFHRIcpjUX0ka6p/XrfKUYQtKElgL2cTein7 Z27qJxCjlEb58fRrRl1wY/wuZkY5m9HpEFHvz0IVv+BGwq/hMtMn0ykNDzXj sUFtQflTN1aGlFHzOoSMgod2PpDaX9YI+KYb+/cpTNTJbJ8iq3SeHNV72ahW xuOCP3FjHycXa3nWC4Ly0+d0EsSYxMg+78Z+Fu1eYfxI2Pr+FcbDvZTWk87r FSxUE26i55h9yA18k0pEw68rsqTElR5YRUbVGQ3pxtxkf4gGNJSFWJ7h2X2n KmehAgBlFDacvfqgNqrNqGXVSJ+sO+6P0J5GekEZi+FXuiREj6QgURtMBzt4 IFOHoHuazC5AzMLO5EX3rCr8WqpKKT0Jkg1q9KVPgZlDwGQtnlzjzrsX3Jlh o+oYLJELSlmrws5wyM3pLMOjdr2qlNVZsNiommF9Sg+EUxxCsgXY3SVDduCx WFJJqX0xZDkCRpxMz+qldFmrMCNrakfcbGfgFzGyFcCZAS/lIXaHYoNqn4Iu SIB4cQiQNmB/e0SFYhDryHaqSbB0SoMp0oPaEG4bfHndN5n2QeIHS+lSFieD NchnZB9xT4dxvc5Uq1DxFxQ+4ag6ks7oOGUvS4Hw0GOpHWmcFiLiTinmgwCF zAzizAkd55Z8KU1qS7COdF+sTxlUuRSjENF5KobYbQQWlFIWRfFBgxuoKkYW 1f+SW57v8OgGA7AK88EC1jLLZvUZdTI9Bn4d1UbSsGr4BjVfn4KTwuqZVBKw B+5UpQAYXkMXgoDAD79ExKTPSDE/vkZZHNJPqgmO/0J2QxeMMGqdo25Z8PwV Ng5GFioQSV1WUYUFBfRBrfK6H2wdAFtBIerP4pILXWBKQ7lSGrIOJHSI63RP 9seQdwcmCr8Gg0spLD8ZA9civujBf/BIlD4oBLkEjEWvgtf2g2qBVZAkqeEM gC+jX23Gy2/xgt/P21LZ1xZoPbQXR0Dotub8SLd+0Jf+WZMuleDXFn98Q+pV +3nm5ckn+aT0BeWLODb6Wt8ay+7+wSkQQLeeXxjawnHvQlz8eOKffBJ2Pqck tKMfz0pmXue40BJsgE7Bxm240dDuvtFQfrPzDCi8Y3LP4JQkRY73PFQ+wdis CfD2zjP5y3j6vRBNVOUuoH1r1qTPk8axyHFApyNjYLUBQQtRtDZ+c6bp8LnN PRkY/ELf/fSJ003XkpTRBc6JuQdHjtBFCmZ9QsJvovZlC0II129bMAa6WLcp 8AMpPQcyl/ACUfQqvrRBY3ODTpaQ5EDmUsaIXljYxj+0DkXoNpafQvIdnAKl yxiOyxRMp2shPFzqE5Og/Q9HcbELiMiD9hdDDDgUkMvBNSyfkKTBF2oa+la5 HkLPkdNkAo4U4Hytb4D8pecw/ybI06h8IvUqV7DjoCRVH+QKJjehhOU38VOt U0Hv3GE+N90QgS0zV3BVcj8XhJ/dobNAa7F2/DKLzC+zJN7CAMSA83CU7Rf8 4Cl3Md1ibU9DcppzHIe+yh63h0WK8WnDfFo0pnzACmf/KsR+/lLHM46hWhGv WvzOjczv3Bj7+x+GvDpcea+ZODZ7XoTCrPaBmPRcnUp4y4fCqvdtBK1mBoFa aN/KLbdazgtCLfyCEFqttNecm3nZirYGnkGHv0KOiLCui6Fu5hz5MHoBS0Nz e7uuJRHN5B4MPekj0Tv9BbHvUMx5Q4bfdtwBe6sbLle6vvinnqNoJnz4i1// KbWwwuFCgtNBhZPwzc3IOSG/t3dKah/asjqRU5FaPoFVXfnkvhZC99ASVXzD K4DcQz2H6zzX2BOUnsabGuUTvJplLpE6sKXFVKdKUb0PbdwP+4/SXrFhHPMS dc9DnWcso65O3aAYfoXofVuomOM+CTJtM08Nbek8E70qH4gcTz2Hhd88hUkL +CEYeZX02pvc5MPLGfENsHTqXLLKLbkLLE7Wr97Xdz/I5uMrg8jdtUmJFjff VvUU0aIEtAByAXiIQDhJpaeb6FS7hnI7X+HRhNKdfM2LY5bIq0WiRUuige+k 0dds/BqKxZJQOs9kLvEGQiiJdZPldh5hnc8C2V08EIYivCY1l8Sipc4g8VZy Ux2/hmKxDPAWBxeUensSRNvx6zBSw32YtdzSs7h3v4tT0h3mUIMw5il6iV7F l5HdFFaoqp1kI0ekduAfbow4n4O3j3d7doN1N2+amlyuwc4rDCGEDQiwIiy/ CyfMQ63zDPQ2aJVAHZ/FkDtdEckYqVc7DnY+u975YmOwT/l6+o/qX/ww3mKs LxqFc4Xh8ZXCuYm2+S3L7/IbjtdvTj+fG0ZI8ZK5j9ej6cdzG/Hfic3mM1Qk K4+Or+S6p3chUW6j1DoNpWp6YL6zOFUYLlwsDE9PGfdSy7P8LtDuzHVP7Fp+ A9kHl98oXITXzeV1xLrFiQBx+czELuLon358+dsAp9xafmWiDcZ88JOndxnb oXhux5lAoDafQGacSF66MtHK9Vu6AsI9zrnuYmw+gjP4pnfhyFpUCflNbM51 j69UHl08musG+Z9ffmOCEPxLH5TX1SdH5LrynOdAvRwb66d3Wcj+8ZXilJVP YfMkCLgzd6g4BaLu4vCJzddv2to6Jmnhk5BKh3Ibx1fAUuSYuuVsHaTW+QjO 3ag+/xAMhrQFcTD3c+bSZgwDvJMRrjya685tXLxCbeEcIa0ZX+FcQeKNNNvu 3MbCsHmMOIMQG5ETefcNfEZLLL6IlIECUY6v4EsIHbr0PmDsNNYjqQwcYa7c ocWjiy8Vzi7fxMG1nN/87spWVhEgkNScLd3AhBKP+IWLFIfmPoyC3MZiiUeT V2ZeHQHDwOgibovnGStcRFXJZ4UVUsitHPiHjxcNctHiURMPy0lNbqACqukT 2cEWmOoY58l0fAkXDZ5Hi+enB3LdlgwinrKxHlXJ7Zw/CpHctnSFAt1pLEuY pt4SMKZTEtyLB8xnEL1oBDhSC0eangL23RgKxnqu6eLRmkPJ4xBoIACmIOzq 6tzHbbEDrIIuLF6iF+K3sfIUvUDBKdEyCGTBwlm+xE1P0TzBylP4hiiS7XTO Ga++Oiaa2IwvrRNtrOIWGAFhLm9hGMHXb9qJhgLW/D3u8Lf1TJUJ5SaxdK56 4aK1bAvU9NjBljbk4Ep7kolWfOZl08+DVfKLmQaK3FyPWIbE8mEnwFl7Af4I 3vJyr/sdgyO38fpNy+8hjpQDuQrnbP9RKLvN48diVBgWyc6z6BxaT6qruZO6 BzQDR0WvOIdd/qXXxfPcY7lDPNdoXpJN8ggXWH7FnFt8KXfIZxf2D/exH6sz KOFrUELsDZfCzRzcwL7+LOYoNIDvw1whYFdzqJ/iayc/XzD3UWk8y+Y+RD+b Y6E53FkXeQhSOmDj6WHtgtmK1cIGTVWbFKAg507u6MqjThM0MA3yl+V30QcI zO3EjqAuX7M8Nk/Od8JKOIXNy4c42WMEkZcDlJpGo3FW9fQqNnEVt2YCruZx LNywfJEYxRK3AZXUi3b0eJOlIUoLZylVm2YyRukhyVmwAs4aVPcNprQUcsEa vD+xeXwF0hJKgL/mVS5z8RLfYjWTOMQlznUXLxnbPSo08z3Tr99k+vIrxakP 9b3bDiLXE8/KU7B6M1F5aZbnxPji/2aeO/ng3flQkdf+ir3wuRfqwHyE1p2T Pi9T6A5PYstLJgph5WQM+fGeinogXskbqjfHkAQowdyh6zfnd08PQLe1tjZE pWjYPElu9sjbwuXlLY5xLyzsrTwGuGmtLpbCr9tbxvG5slVYNkK5YQrMs0jp E1hC5Oeg5bjmtdzDVqZOjjTCACmW3JndsFQ71fcu1Q3M64le4KmB/2tPi3Gv sLF1ShwyjyGH+U7sfLw+n34ed0Q0eZvdbSFPY7t5krYAR22Z19r2dCPg1scq NbwwwNZkbc0H80fRKaFVpKUogN5MR4s5knxi19IV6BiRDY/GWhgHccEGcebs Yj5NPREXA9aWojHfyXdN2ORBh+8wgdTM2zyrX8GsNtZjN2C1X/iCCCQZ7Iuw /NAMZDNrAtpwLL0P3RdJVssB22bWvFZX7jWEkLmfM6dzEt6n0Y67m28a2viR PXKbxv017vMMa5vrXKSC5rH5CEDP8c1No/+Dxj7cghbOLX1AyC24aQRmw4UV 3A+xirXMhoB5iSsy/bwPBtdYCPr87uIUeDkCe+XWwrCxfq0j+6afL05hNxQW iBhicyDWcOFs4dx8hHZpVo7TOg0b6cetYwanf+5mlcXzE5uh0ByitfyZugTF EuyyB3C3btxrrfiNejdbxEO4W158sTg10QZdIwzcsXgUXlpzh1Zh3mI+UzRQ dq5RzU5hbqfK1mJpAmKDb9Fd2uMcrSLO9X586QMUb/nbtBaaxyYw2dc45G7x lm861cNwguj7vDP65sZXZiP8a6ZFLTueP7d6h2N/F2p3cP9aTUymI+r0AIk5 H0EeH0lMpk+01cW0lj5je+7Q/JbP/g/lrDxSl9NiT+PzW3I7l96X6FM0nmy0 mvuQDHyOX7h02CmASrevLvPd5IVn8OCC/8/y9mEDLamVrVDnp9jcuo8hOW6L 7BUFage0aPQ/FtqT8Ba5Gw+yuOR0NMf0pQ+mByDoLmIwFacqT5GxA8vv8mUV Jw0vnsdHnAvkonb6K6zxrAyKqbGezU208WI5jAdVdCaMmuDCuzHs5Prj+GJz JeGv38RqynOqcG58hedXh9va+4nwJZ5XKFsLJBllBWNQ2I2JzdBO7qFot97C Tgo+r0XxB+xTPAeVbvtv/lAX5A==\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell["\<\ Let's try and verify that the RP steady state solution equals the G-K \ function: \ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417765651421875*^9, 3.417765657260032*^9}, 3.417830753367105*^9, {3.417836625913125*^9, 3.4178366574461*^9}}], Cell[BoxData[ RowBox[{"AllConstants", "=", RowBox[{ RowBox[{"Cases", "[", RowBox[{"RPSteadyStateSoln", ",", " ", RowBox[{"_Symbol", "|", RowBox[{"_Symbol", "[", "_", "]"}]}], ",", "Infinity"}], "]"}], "//", "Union"}]}]], "Input", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417765539391279*^9, 3.417765571316342*^9}, 3.417830753367241*^9}] }, Open ]], Cell[BoxData[ RowBox[{"{", RowBox[{"RT", ",", "S", ",", RowBox[{"k", "[", "1", "]"}], ",", RowBox[{"k", "[", "2", "]"}], ",", RowBox[{"Km", "[", "1", "]"}], ",", RowBox[{"Km", "[", "2", "]"}]}], "}"}]], "Output", CellChangeTimes->{3.41784160746589*^9}], Cell[BoxData[ RowBox[{"Simplify", "[", RowBox[{ RowBox[{ RowBox[{"GoldbeterKoshland", "[", RowBox[{ RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", "S"}], ",", RowBox[{"k", "[", "2", "]"}], ",", " ", RowBox[{ RowBox[{"Km", "[", "1", "]"}], "/", "RT"}], ",", " ", RowBox[{ RowBox[{"Km", "[", "2", "]"}], "/", "RT"}]}], "]"}], "==", "RPSteadyStateSoln"}], ",", RowBox[{"Assumptions", "\[Rule]", " ", RowBox[{"Thread", "[", RowBox[{"AllConstants", ">", "0"}], "]"}]}]}], "]"}]], "Input", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417765468573929*^9, 3.417765536642043*^9}, { 3.417765576125258*^9, 3.417765599313503*^9}, 3.417830753367377*^9}], Cell[BoxData["True"], "Output", CellChangeTimes->{3.417841609468128*^9}], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{3.417830753367503*^9}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Perfectly Adapted Signal Response", "Section", CellChangeTimes->{{3.417729424125435*^9, 3.417729430029875*^9}, { 3.417730859574404*^9, 3.41773086158824*^9}, {3.417731419602307*^9, 3.417731426957141*^9}}], Cell[CellGroupData[{ Cell["\<\ From the simple linear response element that we had at the beginning:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417731481385706*^9, 3.417731492621399*^9}, { 3.417831018750286*^9, 3.41783104672145*^9}}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, {3.417731462091422*^9, 3.417731462178471*^9}, { 3.417731504226867*^9, 3.417731504315766*^9}, 3.417831046721723*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJzt2mFOwkAQQGHgJl7JI3AB72ninUSDhtG2lM4MPDbvJfwpwy6fYq2mL8e3 1+Nht9u9nx4fp8fBzMyw7Z+40TH3+P53JIaaGGpiqImhJoaaGGpiqImhJoaa GGpiqImhJoaaGGpiqImhJoaaGGpiqImhJoaaGGpiqImp2HHqTreipa8cqt+x w/JATNvS1w5tXHt+x+17LL2wFTO50NfRxBZLL23ETN/Oepi7z/WGVeefW3No +77/Fzt/zLbusvSl6Mf8Xe731Fy5aFh68VDtrdMTmPyid8TsJ5ZPY9Z9psb+ zmxtetefE0DpohdLXz2U2Hfm3RQv+vPcmkOb9y1aaeWiecxNv8Py9V4BgP78 SWNSPwDFiQnDII2Yy9nxMBBNDrN0ofSAijAMTQqzfA17//yPJjUx1MTEaY5d TJwW05KYOC2mJTFxWkxLXs5QE0NNDDVPzXFaTEti4rSYlsTEaTEteQVATQw1 MdQ8NcdpMS2JidNiWhITp8W0JIaaGGpiqImJ0xy7mDgtpiUxcVpMS2Li9EAY UmKoiaEmJgyD7DnMt4TDSWHOk2Ngtr+ipwoM5nNWgMFYSi40KZYshkQpOTVz ymIq30u6CgxGVHIFUPmGMnltRk0MNTHUxFATQ00MNTHUxFATQ00MNTHUxFAT Q00MNTHUxFAbH/O8jY0xM3vqPgEy2D4p "], {{0, 0}, {205, 202}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 205}, {0, 202}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{3.417731504734889*^9, 3.417831046721879*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztmMtOwlAQhn8oBQEvGO+okQfgZtSNoktxA3t11RANLIwGeRKvib6RC59B 3sLdOA42Ke1giomA0ib9c/LNcOac/6RM04rVqp9dWK1GzcqUm9ZVvVG7zhxe NhkZIQDtzzsFHr8j9oaNNhEDn5IgegXi3w7DwItoAAIQgEGBc9EokQEc60FT gic9g6ynfQWrPOQZiS8sCImI7jv4mvIj1kVRQ/RAdN2dWCEygXmiCZmRx2ll rhgwa5eOAHtClpXEODBjexSWxLi9DEciz1UGph2JSaJdfG2vO/EImOpOLAFz P56xKjtN2ZthA0tClpREUwrFxLsosKKkdI6aLVntK7gpwbTjwD0H00l5cOOi LOveJy7I8u984rw4oWE+xFs3zhEldJwEbnziLNGkgn/l4S3KWWiOjgEe0h/m 6Bjw980dnf3+W4vH1PPBeFmQHuUpnpNGZ4h6ek9WtNPRPcEdUU8H6oG3pYIH b+mFezTUvOBHfQ9PCmZ91rHpeH/Tuqhhv7lpXV0zckiPSADGBSifIvx+00Do AxDXyjE=\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417831034786925*^9, 3.417831040484662*^9}}], Cell["\<\ we add a second signaling pathway to suppress degradation in R:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417731519960504*^9, 3.417731564122705*^9}, 3.417831040484822*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, {3.417731462091422*^9, 3.417731462178471*^9}, 3.417831040484966*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztm1Fu4zAMROPcZK/UI/QCe8v93Sttm7UDw5o0EjmkJjEHCMAm0NAvkiVK bn59/v74vF4ul79frz9fr2upVCqVUrS8sN6PIr//OSoKHRWFjopCR0Who6LQ UQDFarMkfilhFEYIfytS3o3CYnZdTPQMikO725/Wfj3W2b2tcDyY92hpHpzN dqGzFY4decGFuLY9NgrTXmuXdx1R7l3kHIrN6m7johhgiOsL2vi0UtjyLrs3 3G7jrXDsyOumsLTCsSPvdndbzILX7scfgbXb9oU65KdQUCdF9pc7qDNRRIx0 pt80CqpfF4VtQX2WmOh3HgpTgfY0L9NwhII7kpMp2qqVkZZqOETB/PKyKdas rIyrHRXjVBRc0YfoZApSxmmnzflrd4SKApjh+LV0pl1SUWSoKHQ0jWLGTFsU CY6nouCrKIAZjsNVFMAMx+EqCmCG48icfBWFjopCR0XhTPwOM21RADMcR+bk O56qAuGrKIAZjsNVFMAMx+F6j5mWqqLQUVHo6FR1VFEkOBaFM3FVII0ZjsNV FMAMx+EqCmCG49fSuSi0y8E+im8GZY4uivUDXYyR+6IoYtVPwf3pAlcDc5Qu RP8cJczQPUcpI1zHZlpdDa0X8ZdjVO99QR1Wq1X+r0i4t8ZGYWz9wK+Ng3VL ZcwH5suJFOZ07bw/a39xK5KtTZufNM2jOGZbxgWvvIsiYlpZ37BzjFKw+mtu XzTJzRT2Xj0yWEYUBcMzR7UQhrubguGmaO1Q/LOLLf0xkx3jp3d6XXkUJiPQ yLReyBW35zob1NbZKZSQHRRCGB4KHQzHfSGE4bm7dTBcc5QMhm+mVeFOpAAV NUtJqx7Yn3HtcUxP8w4U6PiF6o7jgETiFL37dXWK5w1DIbIoltuJpjTFc4yF /ACk9cfxqMv/pthg6wR1ihXjgUF8ucWaadchA09Z4mtG5noBrzel7uVR4Kk0 p3gPpkjagdAoYKGUtY3i3d3wQD5pL8ibaRuKjMnpngrHFqeWwuM3lhvHNq8d RmJP0PcX90vPPR6h75LWgir3jCdmr5d9UBVCkX7aFkGRf2QYQDHh3JNPMePw lk2RukzssuLYbDflGJ1LMetRAJVi2vMMch3lM3BkxrHJatqTJWpl7r0YR24c G4zmQTD3eoSrsafH8ajLVIik0+ZoZT2/iBWBYj4EgUIAwk+hAOGmkIDwUmhA +ChmLxN3eShUGFwUOhAOCiEIV1+QL8WhmBPObBWFjopCR0Who6LQUVHoqCh0 VBQ6KgodHf6h6WX1bhSlUmmvf0geOAo= "], {{0, 0}, {198, 207}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 198}, {0, 207}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{3.417729464342729*^9, 3.417731462526328*^9, 3.417831040485153*^9}] }, Open ]], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417831080786641*^9, 3.417831086072931*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"react", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "R"}], ",", " ", RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", "S"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "*", RowBox[{"X", "[", "t", "]"}]}]}], "}"}], ",", "\[IndentingNewLine]", "\t ", RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "X"}], ",", " ", RowBox[{ RowBox[{"k", "[", "3", "]"}], "*", "S"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"X", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{"k", "[", "4", "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"%", "//", "interpret"}], "//", "First"}], "//", "ColumnForm"}], "//", "TraditionalForm"}]}], "Input", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417707878456383*^9, 3.417707881561127*^9}, { 3.417707947248625*^9, 3.417708043754384*^9}, {3.417708076035349*^9, 3.417708077588026*^9}, 3.417730813770281*^9, {3.417731661942531*^9, 3.417731669115235*^9}, {3.417731702811681*^9, 3.417731816324857*^9}, 3.41783108607312*^9}], Cell[BoxData[ FormBox[ InterpretationBox[GridBox[{ { RowBox[{ RowBox[{ SuperscriptBox["R", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"R", "(", "t", ")"}], " ", RowBox[{"X", "(", "t", ")"}]}]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["X", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{"S", " ", RowBox[{"k", "(", "3", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "4", ")"}], " ", RowBox[{"X", "(", "t", ")"}]}]}]}]} }, BaselinePosition->{Baseline, {1, 1}}, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}], ColumnForm[{ Derivative[ 1][$CellContext`R][$CellContext`t] == $CellContext`S $CellContext`k[ 1] - $CellContext`k[ 2] $CellContext`R[$CellContext`t] $CellContext`X[$CellContext`t], Derivative[ 1][$CellContext`X][$CellContext`t] == $CellContext`S $CellContext`k[ 3] - $CellContext`k[4] $CellContext`X[$CellContext`t]}], Editable->False], TraditionalForm]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417731804146226*^9, 3.417731817301993*^9}, { 3.417831086073268*^9, 3.417831100096135*^9}, 3.417831387751768*^9, 3.417842786630802*^9}] }, Open ]], Cell[CellGroupData[{ Cell["Graphical Analysis and Solution Behavior", "Subsection", CellChangeTimes->{{3.417708265329699*^9, 3.417708282847009*^9}}], Cell[CellGroupData[{ Cell["\<\ Let us simulate the system using a sequence of step inputs for the signal S:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417831258279351*^9, 3.417831284025424*^9}, 3.417831334872146*^9}], Cell[BoxData[{ RowBox[{ RowBox[{"SInputRule", "=", " ", RowBox[{"S", "\[Rule]", RowBox[{"0", "+", RowBox[{"1", "*", RowBox[{"(", RowBox[{ RowBox[{"UnitStep", "[", RowBox[{"t", "-", "4"}], "]"}], "+", RowBox[{"UnitStep", "[", RowBox[{"t", "-", "8"}], "]"}], "+", RowBox[{"UnitStep", "[", RowBox[{"t", "-", "12"}], "]"}], "+", RowBox[{"UnitStep", "[", RowBox[{"t", "-", "16"}], "]"}]}], ")"}]}]}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"KRule", "=", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "1", "]"}], "\[Rule]", " ", "2"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "\[Rule]", " ", "2"}], ",", " ", RowBox[{ RowBox[{"k", "[", "3", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "4", "]"}], "\[Rule]", " ", "1"}]}], "}"}]}], ";"}], "\n", RowBox[{ RowBox[{"PerfectAdaptationTimeCourse", "=", RowBox[{ RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"Join", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"react", "//", "interpret"}], "//", "First"}], ")"}], "/.", "SInputRule"}], "/.", "KRule"}], ",", RowBox[{"Evaluate", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"R", "[", "0", "]"}], "\[Equal]", RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", RowBox[{ RowBox[{"k", "[", "4", "]"}], "/", RowBox[{"(", RowBox[{ RowBox[{"k", "[", "2", "]"}], "*", RowBox[{"k", "[", "3", "]"}]}], ")"}]}]}]}], ",", " ", RowBox[{ RowBox[{"X", "[", "0", "]"}], "\[Equal]", RowBox[{ RowBox[{"k", "[", "3", "]"}], "*", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"S", "/.", "SInputRule"}], "/.", RowBox[{"t", "\[Rule]", "0"}]}], ")"}], "/", RowBox[{"k", "[", "4", "]"}]}]}]}]}], "}"}], "/.", "KRule"}], "]"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "[", "t", "]"}], ",", RowBox[{"X", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "20"}], "}"}]}], "]"}], "//", "Flatten"}]}], ";"}], "\n", RowBox[{"PerfectAdaptPlot", "=", "\[IndentingNewLine]", RowBox[{"GraphicsArray", "[", RowBox[{"{", RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"X", "[", "t", "]"}], ",", " ", RowBox[{"S", "/.", "SInputRule"}]}], "}"}], "/.", "PerfectAdaptationTimeCourse"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "20"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "20"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "4.3"}], "}"}]}], "}"}]}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Green"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}]}], "}"}]}], ",", RowBox[{"Filling", "\[Rule]", " ", "Axis"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"700", ",", "400"}], "}"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Style", "[", RowBox[{ "#", ",", " ", "Bold", ",", " ", "Blue", ",", " ", "Large"}], "]"}], "&"}], "/@", RowBox[{"{", RowBox[{"\"\\"", ",", " ", "\"\\""}], "}"}]}], ")"}]}]}], "]"}], ",", " ", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{ RowBox[{"R", "[", "t", "]"}], "/.", "SInputRule"}], "/.", "PerfectAdaptationTimeCourse"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "20"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "20"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0.95", ",", "2"}], "}"}]}], "}"}]}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", RowBox[{"{", RowBox[{"Thick", ",", "Black"}], "}"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Style", "[", RowBox[{ "#", ",", " ", "Bold", ",", " ", "Blue", ",", " ", "Large"}], "]"}], "&"}], "/@", RowBox[{"{", RowBox[{"\"\\"", ",", " ", "\"\\""}], "}"}]}], ")"}]}], ",", "\[IndentingNewLine]", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"700", ",", "400"}], "}"}]}]}], "]"}]}], "}"}], "]"}]}]}], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417732072206593*^9, 3.417732090520968*^9}, { 3.417732149769705*^9, 3.417732211640289*^9}, {3.417732266737466*^9, 3.417732268868177*^9}, {3.4177328053056*^9, 3.417732883921101*^9}, { 3.417733200448804*^9, 3.417733220335913*^9}, {3.417733859736542*^9, 3.417733860402685*^9}, {3.417734307563679*^9, 3.417734316074066*^9}, { 3.417831106302196*^9, 3.417831122519614*^9}, 3.417831334872327*^9, { 3.417831366330882*^9, 3.41783137420383*^9}, {3.417831409536496*^9, 3.417831410818771*^9}, {3.417842789970786*^9, 3.417842802583147*^9}}] }, Open ]], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJzVuvk/VdHb/288x3yMGXPM83DOoUHRuogmKkMUSaYiJM0KJQoZImTMVKIk lVKJTJmHSiRESeZwTBkynM+5P+9753u7v98/4OsHHs/H3vtaa23Xvoa1XtKO p8yPMTEwMLTRf/3X35Qrjjiyc/I2hv/+yahPO/2b2IEwznt685uHxsg/dkHN iaNnpv+xZ7/yr5d5C/+YQ/q64o/NDIDxLd4GlQx75n/s+O1AKXMj7h+frrru eEqR4x8/9+KyENnN/Y8zfNxHSAd5gfmo3g2D/pcoIG3JbGaUD45dcjbjPNeO GFp6oPiyAHzi/9t6Ib4XKZw77n1ARQj21xxToGkNor4/8Vac79bBXgdiOPCO oD39bn7Rp0VgbEvz6BviKNrXF6UqKSkGrOIOz7jOjqGR947+tU/EgWdsXoJr xzjS4Gtbv/3oeoj49lsm9vs44kB/HLqmJeGXblAkpx4V7RyzmZOxlIJ4lcnN 01pTqL3CmdFGTRoi4ysV+CdmUUFIpZ3UH2kIaPyRmtGzgI6znu/58EEGVrIq 112kLSKnMz4FXEmysMVW6qfs/mWk6aL6wcRBDuSqXvFsVF9BH/nVOM/ryMNE kd7xuaYVVJQXkKzGrAAizTe+p5JpyIdRxbSxWwGiubeYHLpEQxxdl3d5vlSE jJnlM+eyaag/Szo2zVcJpC5Nu16/ywixSqIshZbKwH8/JrSwmRmiko7XOEip wLMQKbXbmqxgE3vkA9egCoiXKjcZCONg3vDBQlqJKlD41i9uKMXBr34D74pg NdhgMefjoYiHe3pk8SYHdfDISpgNPoOHJzfO87moa4C5pl/NVDoegi2djJn/ aICMf1/DvVI8bOjKeBTcpAktau+HWr/gIUE5+UmTMQmOOS9pe0+ww9WyiATj QhLoVB/ocObigr3ilg/q5cjwihTPZ+jCDfqeNYf5bpKhYmZU6OU2HkiTcJRr /EMGmdKTDRqdPCD3Pjtu32EK7KjxLbbdQoAo9QqVzyUUmO+g+LFcJsDxaZbm OhUtqFnGL0o+JIDj8ympm5FakJUeIPuqkgC19WyBxUtakOt/ocCkgwAl0woL NJoWvEX12vV0xn/rVRwj1v3z978vJgXeLfL889dobu1Ufhk+GA2aSfaM+Yj0 Cz13t7/ghwuGHk+3nvqBYu7ftw0xF4Q2xaTIfNl+xLrh6uDTaSF4uyE2krF6 CMWfZBzZFy8MrQZycstav1Fjn9+B9p2icOVURRz/t1Ek0bpgOd0vBt13Iw9+ HBhD4W4SH28EScACr8Bjm6RxJPGwvzRSWRJ4E30cL/BTUWO4pRLfRyLUWkVs T3GkIt72o74lZVLwbb+h6MXmGVT9QJD0LkoaCsN6tIgR84in5m7anIMMiHHO LtZxLaK+rfP1J7Vlgf+zge/g6yVU59FSnrssC4vl0+WTtcuIVvx41L5JDj6m tHlzBK2gKvuDLaap8rALuV94ykJD4ofazvt6KcA9j/JhY2saqvA0N1m/WxGq fdUffYimIW/9feNBIkrQ8tH/kuNWBih2WW+iNqwEOR+WAudamSD6Z+kx7iJl aOq/Qhy4zQLnhXv3vA5UAUGG7z9T8ljhkQejc5u5KlB/WY5znMOBp9DMZrKs GugR969zn8dBBd/bupoZNWCVOTz0xxQPDx0s1iXVqMOwTZgIRzgekk56aGy4 rQH1Uc0na5/j4XtCwGUjB03Qo9iKDjbgoYNzY/kuURK4KT3dtJzCBlznBe+H B5Dg9JFEJZI4JwycnJTkpJLA4FnXwfkGLqgxvMUwbkUGxmKv3qvd3OBVJVjm WUqG1t5NT3NieaCXev1IhBIFfg3qq+EIBLCZf2nPG0GBTOHhaaMjBPCJ+rXc NEMBv86GB34xBHD+vOitfEQLLlnan2t+TQChkuVmmWotqHTgOS76iQDbfwhv s1vRgqFJk4dhdP9sWXSNnSAW/vNPK/6rL9xkVv0zqXJ/ZUYxL3RW9TH2hFQh x9yCvcdN+SHoQGXdikQX2rO1Yt+9AQEoXh8iWDr+C8W1TmkyRQpBTHbDzA/c ECp5biKlriIM9YdyGnofjSDOYzOuBV0i8Hr9SXHjgFG0wbaqjC1ADCrbWCzK no6hrfGliopiEqBbX9Zz8sw4etDV7Xmicj0UN7PRGhfG0e9j8lUXHIjQpXP3 xhdTKsp17C6cCJWCixdufN4ZO432vyxOCLOThi6uFLVXtXOoN5tEC1OVgTeC Yq+fXPmLHqS/skxllAWlwrfv9O2XUNyp7KKuBlnouTSZyRC5jISj3but4uVA o+pb6dzhFVRfqE/tdZeH2rxDQrkjK8g9MDekVUcB7rjFU67voCHJzds+nBNQ BBYOK/GSIBoqv+WcfHlAEX6/Kjj84ikNmQYTJ/rzleBB1L1SZn0mELgxqu0U ogyOrNT+yI0swGQtd5PLXAWUf53LUz3DCgH+momTEqrA1PjcUngXDrSemCQO TaiCPptB86ZuHHz2WZEyKlGDzp+DU8Z6eHiwvyLhRaw6PDbnpvy+iofMhQni vqMakO51IqT6ER4oc1OOcqqawC+m+l24Gg9/fZmNcQwkuCGmEbbcgQfzjweV 1F1I8GhDpdeHCA6gxJceVm0l0e0s3NA+zQUczybNu/TIcMel13HHA25oFx3n hkwy7GaYY5xz5wEImi5TI1BA7UHdueE/PFB6JM9H8xwF6m8y7MsxIQDuh7ng pw4KGKKyRo9gAvQ7MjxY2K4Ff+yD/to8I0DxJu+FLzlakFAx61ZQT7/fMso+ YlkLPpa+3upB989US+dzhC+Ef/4YaiXiHRjMB9o4Jdlqy1YkVa1otEdYAAIH JnY66/xEXZw33DxLBKEEnmwt0xlA5+5wph05tA4ehwx66p0dRl7Kr154sYjA 5EG/Y9LPfqMIZzws5ouCwm2iLZvqGGI20fjdvVsc+m9VrJSKjKNuvUsX+qYk QPGeLq9RyTiKOTvG++qWJFi/9ZxpUqKito6KKktJKahpYOQZy5xA5/b2bguf lQKxn4bhTNQ/aFu8R814hTTM4me6SGgBbRlgA6cEGVCWdqy7Hb6I5L7qgJ6L LGyk7fI0wi+jpRO0Gl9NOTjMmfUucHkZDQ7+XnRjlgfd27yWA49XUBn+5OuS T/LAtDGZbCBBQw1qDE5y2QoQpmXXqeZGQ8cfHK+vukL3v3fTI49TaEhjZpN+ zB4lSC22+xU9wwBKu8QfniEqw+zxvEJ2G2bg2xYT93pMGSQ73tpm9LHA0Jc0 LscCFbif3ut/qZ8VPh1q0SgKUQVzXx/7pGQcPPRLbr9kqQbiCYsr/Hx4yM8+ f2aPqjps6M07f98RDzln+2L8/6qDkJW7LXM8HqJ+DupKvNcAkGX5w1mIh9At /NHH4zXB1uYUUboZD2+SXDeFUUjwpkTvbPR+dqgWa14/mkKChhWZqK1JnJBk KNs7wk6GJ6+Uk5+t54brHSp5tFNkkPXyenGZlwfYTm89k9JJButI5ReGhTwQ aL3u75g+BdAQi2alPAH+RBcZTT6ggGITZ9dBDwJM6J8bbCDQ8/fNwGPWqQT4 pT9nYn1BCwQ9c0diSwjgaRiYc+qnFkg3hddNthLA/0SauCY9nyt8M17Mofuj h975k3PER//i5fVyo8DygtX6UzL9yMHhm7xAEewR65MqQ1PyHfufSPLD5dgd qM+iE8kHN+98+kwAKi2ZNNN3/kJ2mWoHHtsKwfcCwR+49EHUbHFm693pdcCL u31t/dERpPJAc1o2WwS0XjmsGJuPIgMp1QsCpmJw2AC/LBs9hqLV+VrnfolD 55UJnRbbcTQya72j7fZ6qPloeSdodBxdNo+IeaRChECGaTPtnVT0V/FuO7uX FBhWP+YoGZpCsUW8TWeMpMEvfjCL8+gcMkn4q2HFKwMCcrfFysl/Ea5FKHnj kAxc7857SyAvoSWv229m8mWhk+kZe8epZXTft+GLma8cXJyfrNU2WkEmAxuX H5vLA9nwCjm3awUJJApH+0sqwMufQgOHdGmoUUI7Mn1eAcrdrSU3+9P9tYB6 +lyTInDoej5/8piGxOKlKirilcB9z+j05AQjtLYFSPCcUgZde45ZJ1YWqLtk pLRJRwWOGw7LPDFjBc/Qai0aoypI+eECzEg4WLfgvbvyqyroCFM073zAQeez 9Ebm+2owdfDj6ywKPT5WL1iDjzpQ0jYpOV+i53f0IsFmhwa4DDWqez/Ag62C 6lcBXk14Me6nOl2BB0H3VmL9gCa8u5IR2fUVD+d9F9z8rEkQWVgSqqfPAe2P FS4XVZNA2mK3ARG4IPeYrK8FmQzEO6n++GBu4KrsfPkwjgzvBctMqJY84NWc c8aXiQKWR1t4nYd44AyvKnupCwUa4+Q9i7cTwDgolGjWSIHAUO8f/f4EUHjM VOSwSQs6R2UHrHIJEHluQ4RmihYcpQpvq68hwGBk4yS98AOZlSYfW7p/NrKo Gh53XY2XPBQFzoYDfKB7JoxHSfIzeoaMd97u54f7DclPNf160JuDsU4+IYJg MdL11jG/H+keM3qPU1gHpha9nmWSw+h6w7cPP5qEwcPmwrVXZ3+j3EyD+hN+ okDK6BYTZRlDvLyx6UPC4qAs+T3EiWEcabfWyxQUS4Cfj9Lputxx1B5xYkjG VhLOqVjWDa2nIslPs2pUJil4mSayPSORiir4M448+CYFw6z6n5ac/qCA1LLF L4+kYSJoKtRqaB5ltn0+pe4nA7bj74/Z71tE19kTb3zZKwtJHopnonuWkKP7 cGXsOjnoEDjs8P3XMjr72Xjm2JAccHPm63onriADbceq4NfyIHONJPael4bO Grh7fApTgND0M/hZBxoSDLUNm3RShIG3b984JNBQi9h74QiyEggp/mzTS2Kg +43E5f0synBJUn5kuygzfI5UvuLYqgzMxpGPdhezQN5s2ePwuyrwOu7nVEE9 KxQ7utXVnlQFvmN+PQdDcBBWVxNiqasGj8f3BnKx4uFtl7AkO686vKZ597PZ 4OHRiLgl9091YC91u/foNh7uKOYUKOVowPtB9q/+BXh4eWIPzspXE26dMKu7 8wEPuyz2Lw3Lk+AlP95zfp4NhmvO2OtGkSB3Zeicqy0ngHUog88SCRgN68cG /nCBQqTt1wtOZFgQdGZOmeMGXXElUVwTGbKe6+DPZfNAfmbTY70NFNhbnLLv iRgBHhptbvFPpMC2bccrlp0JsHH48ZQJkxa4yDyV500kgFzogmP5CS0wvEu4 vKuIAAbXYFtdixawZdcR4z7T+6PMb7nV9PryaMvygWS6P9peeje7PYEIPzc9 Npm1piIJ145Kf5oiHL6fORj8gobcKiWCsrlIcPJvgITrNjbY3LLPvEuKF64o ink6qaajW79u2RXrSIHAl9xr1acnUZqGU2g8PR6/L9dJfku3n1IWQWSVSvwX j8VElX97XF2Nxz0RfVIRXrzwOTtsW/CDt+ht78inT6z8sH+aZPbzeAfiV7eu LLgjACfSxbxfTvQig/DdA1e3C8Gg28B8rtsg6pRjrbNoXwcvfQwubdg8grYY 7d18OFwEiHo3JQ7qjKJdTN8/iWwSo/c7u7trA8ZQybyOSk+tOIxo226LMxtH XCwi+eHe6yHha5fr/f5xVLGr/K8BgQiZnsoHyQZUlB666BLnKAXeD/fEh0RO oY2lW1wGNkuDx+eKOV2lOeQf9WNHEZMMeFqM7Sti/4s2elS9C/gmA982O8hH iyyhZ6dxr/2zZCHU8uHR50eX0fDpRbOPnnLAvKtg8ojOCrrlS77Ou0MejH4o /nX9soIGZZvi2njp9cLtVxSeTTQkR3h6auNvBXDMHihq8aWhN7s2HJksU4RZ B7vc+Ec0xECUViWHKoFLcI3dnhpGeEnbG+XkqAw/RJwjen4zgxpH28VGNRXQ bjcSaQVWcCbwMwbNqIBlsbvNjCwO8MRIaUqDKphonytersaBXcNpGac7anBD YEuhhDoeZAPuvA3yVIfWrK/zDBfo9YOj4JceHQ3IeN8drHsfD1N6O2+HMWnC PaekONNyevyWLepT6tQEJeHTE9/a8ICz2BP+wJwEdY7eXMdEOUBto81N5jIS REUzUxMUuMAXinkJqmTAlaSHH7zIDQqiZmzdkWQQmGNWvrSHXj9cDDKWWyJD gd/DuaM/eaDhxPDHIAcKdNqkKoojAoxbKzy4XUWB0McDtf5+BNjxkblaiEyv X63qYvRzCDDPL3jQNk4LsqsHvIyqCXDoidvbiSUtcJXxSjxA908nW55cPspq PP5EfNLquZUP5g2sGDPmPiHvJdval438wH6IoThRvAdlLYv3XDspCPULNzQW 3fuR1F5Hy29c64DCsytxdGoI3brraRufLwzPo60v7jjwGxUb2hMyHEXhjkXZ zU7qKFo3tWNxbEUMer1nbcqnx5B92rR3SoYEILW/Rs/vj6O/SYoHOgwkYX7h b56+CBVdj5MuvzhChI9qHuuqjlPRifMMY+QPUhC4gbDvmfgfJHdv5M7uFGlI s39J3V00jzo+vA6OPiUDk2Otb1g0FtHLe7seSuvLQr6VXIhf4xJa52H3XopD DnIlhJduty2jwhofr1+dcvDqQqBKb+QKul5vazKaIw964WTTRg4a2tkkdVrh igI8OlZd9fQIDbn7fnUPtlKEve8XQzLu0JBCHhszh7wSbN8Zd83ZnQG+/pD4 9W5WCWruNIffnmOC/Dczk69rlKHkxS3Gw9kswB9stigdpQK6bXw3vhSzQv5g Qdx+e1WotquPt7iCA19qt/17TTV4k1WZ+XEFB9vmhs66MqnDdded325Z4kEp 63WBRas6BAh3fei9hYeEPZxTeSka4OzRfirnBR52Xzte1uSpCes3Ofw1aKLX t08r7BKJJPBi8jrL0cgGl1PfX3O+Se+vTI793KrLCTG/3hHe/yGBY/QcYeNP Lpg98cedcoQMccEltq9HuMHKK9VjSzUZUjwtjTRTeWDPnkfX+zUo0P5qi86o IAEY02YTd8VQwNS3+Ju6AwHai3d6RyxSQMAlzMQ0jgCGeX9PnnfSguDlGbfo QgLkEolss41acGWgmMG2mQCfyy+dj6bHY8fh01dj6P6YeWrySLcvEWIoymHn LanIc1Hy2fKUInwNq0q9/5yG8qWihqxwJNjs7WbdzMUGLFcBl8/KC5J7a42H X19A+d+V+NnVpECZ9XzMG65JxGvCaOFEj8f82TyN+XT7gjI5QXMdimD193bz qyc0dD1/zMZ9mp6/7uuMt7XT+89W20v3eKWA3+vbb9MtE0gw8GZkzgsinGCV STpkR0X1rTEdzFxKYElJdyFxMICH4pFUnC4v2LT1/Dir8ARp8FWVN9DH2xPQ 5FpBH49WXRIoJXXzX/wfqBRLM3Bejf9lLA9ZfzjxAnGP663putdIsvzsbccF PmjcMTtPGW9H7AwpTDohAqCRYNFjX9mLtBkOaY5sFIJ+phn+a/sH0dGID5FP 69eBm3Es/xG5EWQg1NU5e0UEvoXFnk1RG0XGZzddSVYRg/fU84S5y2PogN0+ ywNF4lCc0DDdaTyOUjjmBgfd14NY+Ssb6d5xNLD9cF4kIxGm4m58u4eoaGbr 46ddh6XgwcHJfg7HKYQv36+dTpEGq1+MyRZccyiJ6/PnsUVpaBLmczP7s4A+ bF7/UemLDCy++x0uwrWEOKbg1Y50WfAfEw28eHAZhXsI8PK4ysGZmLztB7RW UF5NXk0FkofTO6R5XjWvILNhxURGDgUwfBSrdlibhkxDRo9e61MAxpE0qogP DTnwt39++lYRkjXMi4If0tCUY8ZR10Al+IIrfcSZzwhysVp7eGyV4S0Puezn d2awM08lxiuoQO+ZY3jYzAo/ml+71I2pwDm+I4ZZ63HAQEniHq6k1+PaXfPE 9zhIP2TTFH1LDV65MZ7drYKH3qO/RpRd1YHsNLhl5zk8qM0YTt/X0gCccaCX 6D08FO+29KxZ1IBIl3YJnzI8jF7V2NneognlhO261vT4v79k6q7OfhLYFAbf 42PlAKvF6ajsYhK84jnZHyvKBX1P2L6NKpLhlauSi80pbni5nYtyMZwMqssL qemGPNC6e2bT/DwZ2tgnhZq6ecA7btcLNzsKpCyz3SvVJUDp9plBcgUFuDq8 Y6p8CGDlcL2Bqq4FrPE3/5AfEUDdkbl4KloLdtyLkbxaRQDe4sLUNnr8L/6Y lW1K908NNgb7wXWr8f95nFdhmQYfXOvNPJHs8Al1dfaH7CjjhzzT4cnPLT/Q 3U9HJVntBUEyv+uDwK5+xF/ulWrEsA4Wvy4fT+oaQvysm2WnM4VhYBRvpWf4 G1UKUp/rWorCBRM0G9w/ikSd0h96TYkBl4fxOfOxMTTLwpbJFysB6WmuP7nT xlFYBi5Ue6MkUB5sTLEXoqKHt4vOVXYRgWchs+ilMxUVKzzT9q6Rgqe5j4U/ z86gP/dpjszx0tDhJlx9KHMezezJEahylYFN33/eDVy/iExOpRfWbJEFWbPc ToOKJeQ1mlAxwCwHeQwGlxs/LiPbihgNmVY5ELDzzVgJXUGZQp2RqZny0JV0 /2UFnoaeR/ucNbuoAAUzsfHXDtNQ3B9B28/7FSH0Qt2FLbE09PHiY+9aSSXY FbOf7aYFA9TLpgj/oSpBXS9Lj8MAE8js7XzsWK4MHD4t4c/vsoDhR9H7ozdV YNGYp7iygBU0cg4vR1urwnX07PemSzg4zzRscllZDVoKjjvdW8SB//VmyYRF NfhlYGOywwIPQ4GsA7NN6tBXyfzaOwIPol1bec/Ea8D1vvqBt/n0fjDiXAq7 qyYwLIiT4hrp9fmRJcJpCRKce7JTU6mADd6ze0TP3yCBDkv07s+qnFD88KCw yxQJpuQPczxq4wK7r/obeW3IwFpu/Ve+jxt+JVnHtVaQYRPuHuF8Ig+sWy98 ulCVAj/GyD3LfATIa7D0U4uiAKHv8KTuUQLkZAkVqc9TYJdNj81wLAEOgM/Z /fZa4F/63fTFGwL0ePKcDK/TAq10v+qiTwQI/VRr7U2P/1Wx/LGRdH+sdQvj UzlFBDvePj9lCyoSqSqXLx5VhAJbMuOTZzTU9qEuUYOZBG6F2rcjp/HQ8uhM mc7Eqv8adv1x15SXAqfErGeqHROo1sZ00256PH6p2/Mrj27/3W+TpYIWRWDr 1uh4kUvv93kc3omNaYKRaMh1G3r8D/+s3FLLLkXPJzk3x5kn0OYrstvnHhCh j31IW9WWis6mbtxfwaoE0xeMcDt6ach82dL7tAYvuDzGh068yEIDRMGs5/Tx vgVvDCihj2efHMytOk+Es4Ph7h9cqaiK7LsFLShCVFarXnw+DUk+2qm2U4AX VNriVJlEY5Cu1eX5ogVNYBm41mzWgYcLTBe6++n2ZopW9lXT7VW2SJkclLr0 L580JglcemK1mk9IZezzwUd4Qejqj4CyQ6+QKenNadVpPtgysCdx3/N2dH24 JOPyNQGYHFSvW3nSi9S3/LBIIwmBU8vm8Xr9QXRPX+ts9/t1oOq6yfGg2Aja 4Seba+gtAgmfn8aSFEZRo2pfq62cGKh3L8yyXBxDxNvtbrdeisOXE8Irf3bR 80fEQMCdY+tB2HKLgm3POPLWV2J79VcSuh87mR3aRkWpgoEtVw9JQefArVP8 xlNoQr9TzE9TGgj2QzN6K7Po4Z4GkeB5aQga0Ddl+r2AxIh1XxebZejv+86X RtYltJHyvUA5RRa27PlINbVYRt9PEE89cZaDtg7Tkp2kFbTt5MnhZF15CEmb 1Wr/uIJwJpZi8TgFQIFxpBUKDQ0YcrYr/FQAHmkeG53LNLTx4iPuyNeK4G9Y GrCSTUOj138uMPsrQbLsfhWzbEawtVPI/nVIGTpzIjrN25nh4oWAs76yKnBe gTT/W4sVJF5wiLuPqMAXmovORTF6/VaUFlhZrgr3A3IC1cpxYJD24Z5KmBok 3nmi2aWEh4p9HIGLzupwgpy1x/UsPV/oHgm4QdIApqyBW0EZeLi3v8v22LwG DEf37CfQ8wmvhuv800+aIOZcvkOYnk9mpnc8CNxLgnvXLYqa/rLDSHdZ7MJb EjDrjbsyCXBBQp9G2WEFMvjo2ruYu3PD3/bhHZWh9H76XtD3XH0e2KKlquE4 RwazI+z2tG888EFtPrPLlgLK1kUSkVvp/fXmw+wBZRQ48OpNVf9lAtjlGH6w VaP3sxv9+x4+pH+f7D7jere14N3RN7Ni9Hzisf1nVB09n5wKSc7b91/11fd5 HXP21e9Rxvzz4xNKfFAyDWH9Qp8Qzx6VE4S3/KAkW+Scl/EDiby99m6HtSC0 BLPfmNrQj7gW5yr+LgjBnosB3VbNQ+hA4V2cdKowzJUIqMrp/ka1vhsDQ/eJ QmHM5myznlGUJL6XRh4Vg5pNpV4CI2OofFN0oXGEBFwpaNn+6u44apWblevV lISyxpKsUQEq2hIZ8mHkCxFeH8zqe+RERcdpwYfEK6WA8DvJWLtvBn2XC93d EyMNFRcCRKoS5hHjzfvWdsdk4HKd9LC60CJKsDSpSNokC6/PyewSfbeE7qpt rKhjkINdYiu1Do3LKK80LaL8kxzsNUzMDApZQdpFCc8vZsiDuE2t8RYcDR3/ 83Bm4KwCsFNI+S42NKSWr9V60UQRFphPKd2IoaHMLt8X2eJKoGdrTLm6kwHe G3U/jxpVgmWCkeDLbiawEW5i21yiDIpF3eKm8SxgO7082xykAgGM1kLa+azg EZb3TNtKFS5ONiXdv4CDqbDxCksFNbiqb8HA9hcH0g1GM5rzapCtkLeOaI6H 2jNqV2rr1eGHd+BCeTgeOuUOpFnEasBR8R9sBvR8shC9GJbtrAlPbjaMb6Pn k2rtxKEuMRKUvDNvT37EBq6oLMngOgmyVvSsQmQ5wSxMTrxwggTVTkYals1c wM/jKn71EBnMM6VufunhBhXSpsfS5WRY+qk9xBfPA764fS6yKhRQpR7XCuQl AIsj66nUWxQQ1idvNLAjQHSyb5ffLAXyvN6LatPzie3NrReK7bSAT8evyICe Ty6vC0r7WqMF2jlB39zo+WTg4ISxOz2fNEXopkbQ/dHG9ZC7qSsRJH3K/BnM qWhUOcY+eVgROkx5okj0fDL04PiZJEYScIfXPPg0gIc3V92TMntX/Zf7cFdC hbQU6KZ4v5MpnUByvReVdenxOKDhHjWXbj/aVHLTnU+KoCXUrkqm55OJ4iTP qWFNOIDqi8Tp+cTSjJfBFicFdS/ljox/ovcPPhN316cRQWWxLp/vMBXtYmYL zWBSgpylK6nLtTRk5Gren6XIC8EfzIZOnbmPDLK3JmTSx5v6XnmrmD7eVMIB F7NJIpwv1Eyvd6GipLi95yVnFWFi5ULTeno+4RM0TPTl4oV1VS+C7D+HIHuW l49iZjUhOt4uSpCeTz7fTPnYTrcX2jZ1uJJub13suFjqLyI4MqOGd8eoaLzl 0sCH5dX1f0h5+4KFRqS/x6s+n05Q0URjDu3okiLgye0ThBc0JPIQdvYtaYK7 gW7+Lbp9MZ99v6fo9vu1JvVr/2v/6/8nepz/0MQ/PQ7GmB4HY0yPgzGmx8EY 0+NgjOlxMMb0OBhjehyMMT0Oxpge57+nC5geB2NMj4MxpsfBGNPjYIzpcTDG 9DgYY3ocjDE9DsaYHgdjTI/zH2T7p8fBGNPjYIzpcTDG9DgYY3ocjDE9DsaY HgdjTI+DMabHwRjT4/yHef/pcTDG9DgYY3ocjDE9DsaYHgdjTI+DMabHwRjT 42CM6XEwxvQ4GK/V4/Al13Zuf8OJve//T33Of2jin14GY0wvgzGml/nvxwHT r2CM6Vew94fpVzDG9CQYY3oSbP6YngRjTM+B8Vo9h/6zrNQO6ur3uVbfgekp sPlj+gVsvrmEiD8ZjKvj/bwxsi7Pn+vf82vP57HzcOx57PwZWw923ovZW3ue 2vH2jn9m2Op8156vYueFmH3sfA6zfymqY95bYnV+a8/DrIliv7czr85PyenN L4HI1feR3dMvWLy0ah87n8Dmi51PYO8LO5/A7l97HiEPEZM3rVfXs/Z8AtvP xuZfJdR8wm5k1R/X7h9j+7XY+KVvk41LD63OH9vPw+aTv027LRi3Ol9sPw4b b8OTnV1vU1ftY/tz2PPYfhx2P7Yfh9lbu//WwMSe4wur6127H+febiJj1ry6 vrX7I9h+BGY/9HgELVZvdX1r+1Gsv8Tmx2CtExUVuHod6yex61i/iNnH+kOM sf4Qu9+N0Uqpv3DVnjTnpJMR/6q9tf2iZN8O3KzW6vrX9o8lhaFX6itX17+2 nvfSDeqgaa6ud229NKBBcVs8v9afV+eD1S/YerD6BLtu+nUfk2nu6vMpAfEW E1OrnKpzTPAX26q9feUNyt4Lq/b+8338P973//0hAeWBRfMivT5ZGy/+3+9X givnt9VMvKKhtfNf+/39548UyLZzx+V4UdHa73ft/LBxNTi4TRgP7EVr/X/t ev/ndQaG/2nvf8WLtfFhzfvHrmv+4//5Puj///+Rj/43/x9FwfBj "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl1WWQFlQUgOGlBBSQ7pDulgaRbgSkQwGx6W5QQumSTmlppVu6UTqku0tA BASfO/x45t737Jmd3eW7Q9rmbWq1jhwRERGJtC4FOE5+XcR50BfyO7927iGX e0xnc7aSWS+zG8W9MRsivfk+Tcx+4DT5zcbwjHx6KZHdG7Ge9+w3NhvIKfKZ jeYf8uol4edzb8g60thvZDaAk+Q1G8VT8ujFEW9+oQasJbX9hkb9OUEes5E8 IbdexGvq6zWkst9A9+M4uc1G8Dj8/nohr6inV5PSfn39PcfIZTacv8mpF/Af dfUqUtivp7/jKDnNhvGIHPoXXlJHryS5/bq6L0fIYTaUh2TX83lBbb2CZPbr 6D4cJrvZEB6QTc/jOR/r5SS1X1v35hDZzAZzn6x6Lv9SS/9GEvsf67fcP2Uz Gcx6mW11FuZA+Ld2tnBuD9/H/U9fz+o+iHtk0XN4Rk39K4nt1dI9+YMsZj9y N3zW9Gz+oYZeRiL7NXUPDpLZ7AfukEnP4ikf6aUktF9Dd+cAmcwGcpuMeiZP qK6XkMD+R7ob+8loNoBb4XfWP/OYanox8e1X113ZRwaz/twkvZ7B31TVi4hn v5ruwl7Sm/XjBun0dB5RRS8krv2qujN7SGf2PdfDu9PTeEhlvYB37VfRndgd 3rjZd1wL705P5QGV9C/EsV9Zd2QX75n15Wp4d3oK96mo5xPbfiX9pfuu8PnV O4jmXsi5L7xJ5yfOTeFv4N7B/mfu28JnQO/Uadz7cCW8Vz2Ze1TQ84hlr6Ju zw5Sm/XmcnivehJ3Ka/n8o79Crod20ll1otL4b3qidyhnJ7D2/bL67ZsI6VZ Ty6G96oncJuyejYx7ZfTbcJnnhRmPbgQ3qsezy3K6FnEsF9Wt2YLyc26cz68 Vz2Om5TWM4luv4xuxe8kM+vGufBe9VhuUEr/zFv2S+uWbCapWVfOhveqf+I6 H+oZRLNfSn/LJpKYdeFMeIN6DNcoqacT1f6H+hs2ktisM3+FN6hjOJuxJbw7 u6PNPnffQTZ9NXz+nAXZa5bb+YHzfec0ZxRnSTtfuO8ku47qbMLG8BbC/0G+ voFEuhOnw3vWo7hCCT2VyOF7669YT0KzjpwK71mP5DLF9RQi2S8RPsOsI4FZ B06G96xHcIliejIR9ouHn5W1xDdrz4nwnvVwLlJUT+I1xcLfgzXE0+04Ht6z HsYFiuiJvKKobsFq4uq2HAvvWQ/lPIX1BP6jSHhTrOJd3Yaj4T3rIZyjkB7P Swrr5qwkjm7NkfCe9WDOUlCP40V4y7oZK4itW3E4vEs9iDMU0GN5TkHdlOXE 0i05FN5l+Hdx7ianv2N0537yujd17nP+D0p+A20= "], VertexColors->None]]}, {}, {Hue[0.9060679774997897, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[{ PolygonBox[{{640, 724, 725, 620, 634, 619, 618, 617, 616, 615, 614, 613, 612, 611, 633, 610, 645, 632, 656}}, VertexColors->None], PolygonBox[{{653, 720, 721, 655, 667, 639, 649, 599, 628, 598, 597, 596, 595, 594, 593, 592, 591, 627, 590, 658, 643, 671}}, VertexColors->None], PolygonBox[{{668, 718, 719, 704, 685, 699, 665, 679, 626, 638, 589, 625, 588, 587, 586, 585, 584, 583, 582, 581, 624, 580, 673, 657, 686}}, VertexColors->None], PolygonBox[{{698, 722, 723, 705, 687, 700, 669, 682, 650, 662, 609, 631, 608, 607, 606, 605, 604, 603, 602, 601, 630, 600, 644, 629, 689, 672, 703, 684}}, VertexColors->None]}]}, {}, {}, {}, {}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl1mWUllUUgNFBJCSku7u7U6QFkZCWkEZCQkCkBFS6GwHpULqlQbpLpQWl G0E6dN/lj819n8OZj8XMe1mka96p1ueRIiIiSr0VERHOo35pRwxW6iYUxG9H ROZtohCVaETnHWJwzNe0JyardFMK8VxPoCDn9BAy+cDtupDzIJ96zuc85IxG Ls/7nG3D59k/7uxALFbrTynMCz0xfA7n9VBicUJ3JDZrdDOK8FJPojAX9DBi c1KHb8S7rNXNKcorPZki/KGH8y6/6k7EYZ1uQTFe6ykU5aIeQRx+052Jy3rd kuK80VMpxiU9krj8rrsQj591K0rwr/6e4vypRxGPU7or8dmgW1My4v8f3DSz EvwlRxOf0/oLErBRtwnvAJHsTzcryWU9hgSc0d1IyCbdltLh4+3PMCvFFT2W hJzV3UnEZv0Z6e1u0Y15mxx6j7M174X3S/8Q3hNnaWce54HwswrvAlftZHfu NmvFOJ1Z7/DcjOjhzzM75+xBYrbodpQJ767dmeHP4poeT2LO6y9JwlbdnvfD e25/llkZrusJJOGC7klStukOlA13wv5ss/e5oSeSlD/0VyRju+5IuXB/7M8x K8tNPYlkXNS9SM4O/Tnlw12zP9esHLf0ZJJzSfcmBb/oTlQI99L+PLPy3NZT SMGfug8p2ak7UzHcYfvzzSpwR08lJX/pvqRil+5CJWLaX2BWkbv6e1JxWfcj Nbt1VyqHe2l/oVkl7ulppOaK/po07NFZ7e303CK8ozqD3uq5CXnDvxfhPjqj hM935mSv5zZ8EO6zXuS5Mvf1dNJwVfcnLXt1N6qE+2z/x/C1PNAzSMs1PYB0 7NPdqRrus/2fzKrwt/6BdFzXA0nPft2DD8N9tr/YrCoP9cxwF7ihvyEDB/SX VAv32f4Ssw95pGeF7wE39bdk5KDuyUfhPttfalaNf/RsMnJLf0cmDumvqB7u s/1lZh/xWM8hE7f1IDJzWPeiRrjP9pebVeeJnhvuHXf0YLJwRPemJonsrzCr wVM9jyzc1UPIylHdh1rhDtpfaVaTZ3p+eAe4p4eSjWM6m71dnluS3/NhZ1Hn L/QNf2fnNrOmROXjcF/NVnmuxXO9IHwO9/UwsnNc96N2uK/2V4ev5YVeSHYe 6OHk4IT+mjrhvtpfY1abl3oROfhbjyAnJ3V/6ob7an+tWR1e6R/JyUM9klz8 qgdQL9xX++vM6vJa/0QuHulR5OY3PZD64b7aX29Wjzd6Mbn5R48mD7/rb2gQ 7qv9n83q869eQh4e6zHhvnFKf0vDcF/tbzBrQPgPw1JHXp54Hks+Tuvv+CTc O/sbzRoSiWVm+XjqeVz4OXJGD6JRuHf2N5l9wlssN8vPM8/jKcBZPZjG4d7Z 32zWiMisCO9aeCc8N+ed8D3S+52fha/3fMRZzFnA7n/AfQwN "]]}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[{570, 690, 674, 659, 646, 635, 621, 571, 572, 573, 574, 575, 576, 577, 578, 691, 675, 660, 647, 636, 622, 693, 677, 663, 651, 641, 579, 692, 676, 661, 648, 637, 695, 680, 666, 654, 623, 694, 678, 664, 652, 697, 683, 670, 701, 688, 642, 696, 681, 702}], LineBox[{668, 686, 657, 673, 580, 624, 581, 582, 583, 584, 585, 586, 587, 588, 625, 589, 638, 626, 679, 665, 699, 685, 704}], LineBox[{653, 671, 643, 658, 590, 627, 591, 592, 593, 594, 595, 596, 597, 598, 628, 599, 649, 639, 667, 655}], LineBox[{698, 684, 703, 672, 689, 629, 644, 600, 630, 601, 602, 603, 604, 605, 606, 607, 608, 631, 609, 662, 650, 682, 669, 700, 687, 705}], LineBox[{640, 656, 632, 645, 610, 633, 611, 612, 613, 614, 615, 616, 617, 618, 619, 634, 620}]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], LineBox[{708, 707}], LineBox[{711, 710}], LineBox[{714, 713}], LineBox[{717, 716}]}}, {{}, {}, {}, {}}}], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->{ FormBox[ StyleBox["\"t\"", Bold, RGBColor[0, 0, 1], Large, StripOnInput -> False], TraditionalForm], FormBox[ StyleBox["\"S[t], X[t]\"", Bold, RGBColor[0, 0, 1], Large, StripOnInput -> False], TraditionalForm]}, AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 20}, {0, 4.3}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {373.3333333333333, -210.}, ImageScaled[{0.5, 0.5}], {700, 400}], InsetBox[ GraphicsBox[{{}, {}, {GrayLevel[0], Thickness[Large], LineBox[CompressedData[" 1:eJxFuXk01d/7uC2kaDocJOMxH/NBoVT3XQlFJJEkmcpQGRIpSkkqY6RIMiQR UUQlKlPRQBmSiiallDiTYzrl2Z9nrd/76x/rWrX3voe9X/vai7JX0JbdggIC AhJCAgL/+33lmJeIoc/l1QL//w8T5nz4qvlH6Rn8P85/nhvyW+ndf1x+6+yH ffq//mNf6Lg0fIDzHwd+1xqoKp/8j8WUYzU/mQng/+NkygvtfA+h/9jrw9bH Qi9F/uOQJ7FeQZpi/7H45db36+7P+48rguc7ymxY8B87S0TfCVBZ+B9P3WFR H07/H78U1rHY47foP85x8jm46M3/8f3ovVnXvv4fd904UL+c+X880nV4sP3v /7FwNIpUzqagj/PaC0F6JD5Ji0tR8ynYlTB3xtKbCYo3rHStqBQcNOr5+CiT CWZddlv6aBQsG9KnnRVkwXq/Ld+va1Jw6ZYRvV4TFmz56xQRok/BF115Yg0B LNinuTNHZCUF25hqrO0dLMiP3PuLsY2CpxYwvI5fYgOjXnTi9E4K7tJz7zVt YUO9cPHsT94U3CPyKiaRy4bPSd9oScEUrPncdkPUjgOKeTu3DZ2l4JKKh/bm fA5kNds359dRMP6c29sXFmOgLTrSMdFIwduXi33H9o5BzabET/bPKOhEq8q+ nTYGvT2tU3/fUHBtD03o/ccxkB5aY+g6SsEmY3PJkRAepC1YmiOhIo79MruH 3seMg8qWzlJ/ujgqt18OGb86DhUXg2vq9cVxs9Z4QX7jOLxWKusONBfHY2oZ kzkCE7DQSGPei63iGG9p0r760ATkhDfLqOwQR7afeuaz8xOgV+ulcdhTHJfv PnH5660JsLXIXaMZKI4nZYyE6gcnIN5ZJuLkaXGsUVwvpG8/CbKX7556nySO fuH7/Rh+k3Dj09bzhuniaHnfhN14fBJa/VLLP+WJY/HB3fcu3Z4EkUix7+YP xLEx/uN7mXlTEJPLd+AOi2PoeMLDR6VTsJlxP0SHI46/8gY0sx5OgWJDaKrX pDiaX3WVFX81BQ++/nr9erYEqocU3OtiTgFb/Z19maIE0vfSObUG01B/Nz3o m5oEdsyWjT+5ehqSrTanyOlI4Its3PXbdhq0/Vvaz5pKoL+56oocv2nwulm9 ac9mCWxINkm/enkaGKtC9l9xlsCA7M1zjxVNw7823aRuNwkMkf4uPFM5DVmj BS/X+kug0Y7TO7mt0+B3fNfw4SAJvKeTJR/QNQ0m4nLzK8Ik0OCgofaZ/mno NEqzUYqRQPc5AZL1zGnIa9q01/kMiT/1Y+CHyWkI3CqakJQsgeMizmJXBfkg Fn78+XSWBB6mFPCNqXzoFVn5yyhfAmc7FLwSkOPD9Yxx0YAiCZRKlumLVOHD mprADb13JLBge+XNaAYfFm7U9l/0QALnX5+YEjXlQ9/772cs6yXwqcCH8+tX 8SGC79Za9VICX692qumy5oNlkszP350SyHnd/0rTjg+Sit1zVN9J4NyVYesZ jny4DTZWqd8lsDPlW7CnGx+OvRbxbf0tgVY2P+4lePDB1rMxboYlgX0Oocf3 +/BBln30usmEBKpSxc7P8ePDz5jlT/f/k8Cyf7r3Xffy4S517Ps1YSqKxe68 7xvIh9hrt2f3iVExPFt+p0EIH7Ys26dOFaei369TwZWhfKA91Vy/cTEVdcwy allhfBhxHvA5oUDF6XHbOSOH+FD3Iyf2vioVF2UXyBcf5kN8hOu1US0qFlzM aKZF8sFFVLpZg0HFke3qrS5RfNDI6hjYaUJF0UQX5uajfOBqJwldWEnFVd1v RcSO8aGx1lr15VoqZrTpdcUSPmcrvE5oAxVbM03kGwm79z/2WmFPxVjn9uL/ sW5gZEyIExWjNDvgNOGpfyZXi3dQ0VtXrphCuDWF3fDJk4q/T50p3kXWu0gr /yLtR8WbB+XnhpF4fCr8Z9kFUpFx4WyiA4nXaK268qmDVDwmEj8xRvIR6PqM dUeoqLqscKF3BKnX0KP8Iyeo+OVMpUFwOB9EBa4ILj9Dxf6UbNHVB/mQLB3p PZ5MRbmzfeltpJ4Setubqy9Q8eEcwedKQXzIWGeqfjCb5Jt3IH/ZPj7Iu0rF GRVQUS2ycT7Fnw/qpzusbt2mYs5ie3dpLz6UXLlVvP8eFUf9jNUs3PmgX5Uk qvuIijR5y1UrXPlg9mXDi+IXVMxuWU8/6UD6Ma6p69tJ6i3xrfetLdmfC0WS 1N9R8c7WG2kTVnzYaN5od3WQiqmqIZX5ZD+2O+Td8vhDRfmA7s86Znxw9DtG UeJS8fZelRunjPjgdmFF5+VZkvhRAjNLNfgQOFrpdEFeEl8Ofz7+bj4f2LNT 7zqqSqLig1Chydl8OCQftFhCWxKpP4WERv9Nw/ENOu+STSXx4enqTk9y/s4X FLid2SKJXwJuvT3cMQ0yD048tNwuidZhEfY+z6Yh+/Uuxdkekmjl0nhfp2Ea rv+V+3xiP1mv0+no1tvTcH9bunfkGUlMSVvjqZo0DX3zTgUEPpLErz3SB7ev mQaNg3sitmpL4auOo7xPmVOgt+KTYy5DCvUcDOJPJk/BUgEXg18mUigx+JQl GzsFaxM3DEavk8LFibIjGkFT4H5Nd2upmxRGBoSGPbaYgovdbAPBFCmk9M0Z thuZhNnLon/c4kihJC3IK2TVJHwby3Ce91AaA28WrlLqG4era4xD+5ukMaAl X3j/63HYldSecuu5NJrHmD5paB6H92qznzn2SuNCpynhE2Xj0OF4wDybI43U t4wTO6LH4VGFLU1PezFeL8WJArVxyNg/65ddxmJ8uV6gLyycB1trskWUcxbj WZPWN8N7eSAx20yVc20xFhtt+BboyYPk7EC3jMrFuLOJm5Juy4PYFx/aP7Ut xiO/8239VHkQrHX3TrCwDG64M1O6qmsMNn4POJoWIoO3NC0vfTcfA8ujqjct ImTwfeVu7izjMVgr1feed0wGG9TnqWtrj8GK9ZvMdiTK4G+uplCODLlPCw04 qkUyaLlnMJHK48K83Vy/6j4Z3D6QV7T0Dhdefju6tddqCb7wKV5oZsKF1iiT k/F2S3BByGfB5/pcaJYcrVjptAR1btfY+mpyoc7CY1G+1xI0WKrU0CTDhZvX 1j73P7oEq+29bITIfZ7kMwenK5fgcbvDiReaOWD37ZyOoqIsZj/vlGvcyYGX Ot+63dRkkeWplyvlwgGbUNNjl7Vl0YCq+SdkCwesBT++ljGVxab4uGYLKw6s pemEUzfL4sKpr7u2GHJgmduT+rkxshhbpDwoPIcD8t2TTpzvsphVl8k4eZ8N WXKbZgyHZfEM9/eR/jtsWOKdVxzMlsWRBVe3wy02SLMtp//8k0UL2aKbS66z gUJJz/u5WA5pmHleM50NQrb6v/s3yKFz2rb63BA2/GryOt5aJofzr/ylPzRk g1Jqb0BylRyedth5tlCPDVvd7Zy21sqhh1Xu7gtabHg0sVz7c6scRvZUeCYo syFNT7x7fEAOi674LX4lzgbzjMeamrLyGGSmuqSUw4LEAPlXp+LkscitpXJ3 HQsaTNNqbJLk0fvBDYpmDQt4wnOviafLI+vIu+iRahZ45HIiruTL47LQT74p t1iwtPu5SnWdPGr41pjIFLCgf9Xh8G9seXQ/uaBmZQIL9MV7FNbtUsD2LQua EnexYDBpMObCbgUMHqQ503ey4IrY+I8fexUwQWyHaqsrC+YLy1QmRiigI+2I vaQzC37xtlv2pCqgu9V3tY+2LCjs6w/0b1bAr698zxqas0C++PvjFC1FTNE5 Xlssy4JuNZ7aVwNF9IoptHkkw4KEfJH4pSaKGOenv/atNAumsjS3vluriJ+D hW2oVBb0Jvn/VHFTxPtbuZp35rHgfOgfyt1kRTTmd7MS/xJfhzHPPo4i5pSK rY8ZYELEGvrcu1OKOEmNm/fuCxMG1+0oT5mlhC3S04LGn5nQaN0wtXaREops l9rP7GPCkS1J529oK6Fc29fT53qY8Hu3+pNwTyV8NJV33eM5E1z9XPZu9lNC 3psfVT9amdAakCCuHaSEzgUGF0NamHAtiLWzP0oJXf076pKameB2+CFvXaYS 6nBb5/x4xITnkcxshVwltK+MkYt9SPz6mOq68UIlNJ/v1qtaxwTJk2dTSu4o 4aqfUWZ7a4j/JzrRxV8pYVba1xmZKiasSDnT/uuNElYdF37+vJIJxam1B5v7 lPDg8zRqdAUTpNNHZHMGyHwV1r3LbjMh9qJyw6FfSng7zp86Ws4EduZWXweW Eu5rUq0vKWOCx+XTC3QmlHBgqPCd300mtF95cEd4Rgn3vNDboVVK3gOvebqj gjTcvtG++VAvE5wcKAJuIjQcH73qnzSf7MdOra5WURoWNY6OJQPpV7fb4asU Gk6MNHTtvMqCnneNT5wUaXjOP/XWnh1sWLCjL7NRmYamzS2LFp9mg0Xf2F4D dRr6BHwUeVLBhsqPdAlRXRqeeCh+VlWYA8kDye51y2lI90+xMrrCgSc+xYZa q2j4Na/eVLqBA/zvDcIXyWmUkB70nf+NAwE/uSVBVjRs2NSds4J8f6z+uI6r ONGwpz9i9fBVLuRInuyKdqGhLTyX0H3MBa556a2+HTRMSWjwzH7Phbz4ad+L XjQsnA/2SxaNAa9C1YKzm4az32zy06GPwaZ3NrTN/jR8fymYGYFjMKWZ3Ssa TMP8S+3OHYFjsNm+uWpPKA1VKMdqvsSOwfXw4XNN4TQMP7r1olnWGDg+Wbnh 6FEaqirUP2tuHIObXv01zHga3ki3XXttHg8E42df3JRMw82jwbnL5HngUqF3 oCSVhiL6wYGqujyYLXBM2yeThrG2x0BpIw/cNK+LNFymYZjP/XIjFx5U2rV/ Vcil4QFUdS/bzQP3K4qX3xaS/AYNJAaO8aCq2fLQ0hs0FC9V9SyI54HYcKBj 6k1Sv6yeU28u8ODeisfzbO7QsJiZ1XyphAcLvX78KLpLwxdzrowyqnjgc3ZR s/ADGto46elYPOQBpXdX1KN60g9375GfbTzYM3PaRa6ZhpXHV5+MfsODOo3b SyNaSH0CEtdm95H7za6X8uY5DWvVxXLXDPDAP0zgj2E7DQvmmHNDhnhQn01/ ltxBw+XglG0wygPp5s2Fv7tp6DGdzIri8mDf74gT1r00nAxQtHOb5EGjRP7O wg80/FG3fP7rvzyQWfFsueAnGi6gLY57P2scAj1ZUru+knonbpM8Nnscms8s Ydd+p6FBqPxY3dxxkLu9pl1miMQfVb/50rxxOPDWvyRsmIbmWdN2UgvHofVf alznKA2X1Z1abEwZB0WNB14GHBq+7pLu5IqPw8FNX1cn8mg4t3PPdTfqODw/ KCY3NEnDviK9un2S40DLNhpf/5eGJU2zzTSlxiG8ybXrqoAyrtdtVEwm3PYr 5taMkDLuMCrwKiCsJlGa4DZHGYtCysb8CB9Z3uVbI6aMQ6e+P/tM5nvtMb1O eqEy9ott7phPWOOMKi1UXBnXZLP+jkiMQ9QtG/4rSWXsfNO+5iyJr7MntFdX Rhm/n3h3tn/ROND/Xa46K6eMzT46eX8WjEO0evO5QUVlZLuswVqSf4/t8L51 Ksr4uSpB3Vp0HHQPSm7IU1fGmfYj8y6KjENvo88sV11lTM2Y2xIpMA7MNe9l jxoo431ZSVVHUv85DfZL84yUkfcyLn2S9Mfk8QrfQTNlRF7os/tsHtitvn1c dKUy0sOHZneP8GD3Q/UsXVDGC9YuW5t+8SC9ltJ2YL0y/ptNWaL6lQc3V8QN XrBWxqhZm+de7OdBU830zH0bZRwfEJr+0ssD9r1BoxkHZXQWLTom+ooH9lV1 mQnuytj9VlemuobsR2OjynJPZXxT8/vTQrJ/j1UWvejwUcZPVeddN5aT+W+n /Vu8VxnDbG6cDLhKzkOZn8+1Q8q4xOdqsf9ZHjwtlGQ8PKeMHwQPXdZz5MFH tfgNn88r4759C39SiI+NFcx4CWUo49v5gV8HLHigdvXXhQ1XlLFy8vLkDhMe xOTUT7+5oYyBJTcEimV4sDpjX8tIozK2FQyK4ocxqD7T7E4bU8aFP0zdbdzG oHjjC5nTE8qY6VRfku84BlnzOzv/TCujX59L08TGMTh+7pNlraAKxrrYq5Yu HwPbzCl9Z4oKank/C9ZdPAZfixgzCToqmHq4jcHq5MLCluzccU8VzBeWDDlh z4VZZwu2u+9WwW13zXvTrMj3b2MJ9YmfCrpYZzwoAy68a793Oi1IBa/13I0U YHDhWk9nkN5RFTQcDSpSEOfCisG56J2pguOtLq02bziwZ3bY5/Z2FezqO1Ux sJsDskrP3k53qKCXpJxZ3S4OtJspvKK/UcFP9py0nO0cMNn35GHMBxV0UDN/ cnwTB0S6pC6b/FRBmfdiQrXLOFCYd9cpZ5YqCuvtVhaay4Fv5hPP9y9VxcXM IzHVxM8ynWwbs0xV8QP/h+bjcjbYBuXVtKxQRc0Dy9s6brCh6qp1sfIaVTz6 WvGPeB4bYkUvnXqzSRW/hYMzP5ENam+X4ypfVWzrYxUE+bHB+0Bk9fwsVWTR nBQj1dlgYvSxWuuKKu5+bFeaT3xMjI13LfNUcc3tsoBXCmy4HSJy7/h1Vbzw 9uZmlGYDPzj1PrdSFa9WawSEz2HDxaCi2r4Xqnj/vb6v1m8WPNvX1XDzryqG 7J+67nKPBdm6Jo3PBNRQoRFv2VWxIHg4s3FQSA1fzl53aGMFC6T3uTfRxNTQ /VGYnGMpC7z2DjWnS6vh5op9p4tyWcD3n2mJMlBDRc7rPMezLDDw1Wm39VTD yyL6cMCDBR/9lYLKfNTw47o9nr3E1xL3USkL/dRwRPJz+7odLBgKmXZ4FaiG QasVdmkTXyuIevHGIYrMR6RvGfG1xWl7+50z1PAVY3m46XIWPE3fdexelhqm 2j6i/zFhwcEMRyWZHDVcVVN+pGgpCzqyzT3fXVNDQduWLi0G8beied93VKph Yfg1Cx9NFszUlQ57tKlhRNnH3iLic+WPc5MaXpP8L4byrkqywK3xvL5Ktxoa 3w+UvyrBgpqWyOCB92q4V2DG/eZCFoR22nB3/1TDtXN2vBwVYcGPH7+nA4TU sbosiqs9wYRXErrzwparI95rEVvZz4TV+/cPXV6pjn7m1uFNH5hQ3lLe0gjq WFDVlrLpPROSowxjKZbqaK3ffM//LRNsB03+lm5Rx29vfK0aOoif1awZ/bpX Hdfe3vzu51MmPPHY1rU5Rx3HqsaOTxDfWlqbWXEoXx33PN0k85L41jWp9yk5 19Tx/Q6Blvz/+dZzN9vhEnW0VGBudyS+tXap15PT99RRrsjja/sNJtTP2X/v 0Wt1/PBthbRaPhNqy2Mu6wppoMkKw3K9VCaI2DrJZohoIMeo+Qn9HBMchjQv zRLTwFv3rj5XT2HCD9W2iz0UDVSIaE1QT2IC9dLitOOKGqiYKnjM/CwT9p68 eaZ7uQbW8L2HH55ggpxLT1hUsAaeeH1qlfBBJuwZK+YOhmpg6JrZ3GWhTKhI iwx1OKSBY4vG6f4HmGDVRgvROKaBwhlFgt3BTAhdu3ff6wQNFJoTpla7nwkv dAW81Yo08KO9dO5LXyZEztLe/LJfA0uzbPqG3IhfW8zr1fiigeKe9Qs3EN58 ZnjXiW8a+MvG0fPGDiaoLboVZPJbA8P81Nz3uxK/lV+akjehgXETDw4LuhDf NFvdfpCqiT52lOBdjsTPA7fYKmzQxKftu1k9G5mgW2ncfchWE2O2vNzkTPji mKRbp70mpu4NTOrZQPKPerv3tLMm8u6m3npnTXw63i2B5a2JyU6hjr8sSf6F e54/OaaJMh+qHxuvI++FviPWgVWa+ETl+E23lUwwOXRjQco9TazZWujHN2eC p0Rv560HmkjVq2nIJnzfetlOVr0mjqzZbPlpBZmvejTkYJsmpjk7Hd27nAlp mxVNL7zWROUDtsIUwg9/2/KruzQxdu5SWrUZiUelJG78nSb+HmVKzCLckOxz +cigJsLtH625JkwY1jrvcXlIE4Nv0PusCcs8aVCvG9bEhxVpUexlTAicVrz9 l62Jb5b/87AinHVxU5gij6w3vKKAvZTsV8OoFTCpiR3vugJzCDNflszs4mui ubNg00bC8n7vmo/PkPHrBnLGjZlgLTQ3Pl+Qji3MbQVLd5J+55jYN86mY0m6 qNhwIjkP3effCc2n44FKitfMj/+9p+xG4mToWFTbY5acxIJrfVF3iuTI+AyL g8V3WPDqUGlEqyId11JUMo/3skCjfK6QmDodn5yu6o5TZIPDBtNWbTodZ7Ue /NgIbIj6tjvJRoeO6Yov43t3saFLtmlxkiEdw1yPZ5Zms+FfNauvbCkdKxY5 zQuvYYO2A+1quykdx5UpNkvfsOH46aO6lNV07LxbElQoygF9ruma8xvpeOnA m/tCvhxwTdkjUrWJjhbpmtsWR3HglPaFF92b6Whwcvkuu3Mc6PNgO0lvo2Op yRnvlXc5MJdPkzN1paPwl6MK/1o4YJxh/3nbTjrSF2y5M9HLgfi2mwGXvOkY s1w+4OYEB+76fTB4sIeOIx5bjgbN4cIXIbGx9/4kvqs3HaOluGC2wjdaPpiO 38ry/2UYcMH7zQWLVaF0VGy6++WGOReSg5tF3cPp2GEb1yNL7uPv15XTc6Po 6JT58r6OGxeGY79MCh2nYzHeV8vZwwW2V/4uv5N0dFTRv+4bzIVJ9HzyMo4w 80l40mEuCCgp6xjG0/G4zI77kjFcEPn7+dyFJDr+9H+5VDCeCws+5PEmz9GR ubws3zWVC7IZtMbGDDrWivnQduVwQTnss6bmZTpKHPF2k7zGBbpjXlJCDh0H LYUKLW9wQd/QgzOaT8fgIFg6VcaFZYto27cW0vE3i2phXMmFlX8+PbpfTMeB GCn+WDUX1r7IVVO4SUfucRlTyxoubLixK/7ELTp++SJap1nHhc2nlZjfK+kY +L7HIecRF7bt/uS08S6p37a8h2X1XHBfl1tbXkPHfzvun9/eyAUf5V3K1Ick npNOxoVNXNg7o3j6UD0d+TMik+ebuXCg/+PwhyY6pgi4rdF6woWI2pwt2ELH vjPnfPwIR19yv3/tOdlvFXmhWwnHHVJUFG2n45Y7b7Yzyfgkp48n93fQMfqL lyAQTjfOGeropuPplEiXdWS9LHF3e5NeOr6hOFoJkHjyRxWqsz7QMTx5U2kE ibe4rV925iMdE1Z0UG+RfMpLrxz3/kpHuWf944Uk3+qzOwdbvtNxw+Gw9l0P uFDnq2CrO0RH8/ishZ/ucaFpfX/FuWE6SpnbG2iQ+j1XvbJ4bJSOc9f1ZpuS +r79JD/wkEdHNYuB4YZSLnx82GetMkXHaiEf1upiLny7nF0e95eOWa/P5CaT /rG3yR+xF9ZC22XUZeXZZL8s6/t0Z44WDtGe8E5kkv0imb1eZp4Wmt/InM1I J/vjtZz4F3EtvG6l81s5gfTfWq74gJIW0hawRxMOccFA48OCtypaWDqrsdDj ABdMhC+Hmmto4Xnhxxvk93NhXb0sCOtpYYrg5Gw7L9I/M9meCyu00O4o++4j G1JP+hLhGictrA50d3glxwU3d42iARcthG63fDFpLqilG29c6KaFPWXKEkDh QtXMpnPeXlqYYHH3wQVhLnT3xMgvDNLCkIsBP8X+cIB6anip9xktTJLRN0p4 yIG0L493L6jVwndSK46VEP90Xdw21+yRFuY4Ra4fIf6psul9qVeDFh4Z7fE2 3cqByvtc1r0WLRyee8bivTUHOlO0jnl1a+Fn0cHhPUYcEF99/uK9P1p4NGxM 4YEIB85l7WnxpGljQYSZw+cqNhwKjwmNUtXG8SdVE/K32eC+JUcpQ0Mbn1/a ZOpZygZdsZ5DL3W1ccQ4LFLgKhueHV5PN12ujeukxHSyUtgguF3t7Pwt2mge 8mXl8n1sCFv8deO9k9oY4ZtxRESHDW6cv7yOOG28tPpsAEOTDRavlhQMn9XG 6YISF09VNkicdphWPqeND5hBor1ybCjn1ZcmZmvjz4qiysUL2PDzTe58r2oS n9nSE2+ZLHBN39k+/4c2Xv5G2U55yAL5O2Jye39pY+Qz47TmGhZ86rjn++yP Np4oaTwRfZcFPoskZsVxtTHH38lO9DYLAuOfGs/M0sHacR/1vQUsiDlucIkl r4NUIeO15KYFi9y+7/Y0HZwKsioNO8OCOY/OGpWr6mCmvc9k+inio9MDLwK0 dTB+LVXiezQLLoZn/hsw1cF9sQYfnh1kwY19s3x6tujg4a8bV1/exYJ9CeW3 lzrr4LuGj7iA+Kx+yY6/adt1sCv6t1+sKwsqf1RftPfQwe+H3/BPOLGgzivg Wet+HZwrWClUY8OC1y5d+rVndHCSQ1VbQHx2wqJwMveRDs7kZlnNWcyCqNrc k80NOuj299xvHSkWCBhlLRhq1sFGo+vjjlQSv1KKstELkl/Rft3yRcTPJyM2 NL/VwYD9hZbxc1lgXGZ76SdTB70lZx37MEXuZymumaGqLk7vpDTc/cIEdsJI o5OGLkYfmRFd+ZkJYYJDtke0dDF1cehE00cmRI32ezQZ6OLgUOLtD8RXE561 nHFaqYuf/rhPafUwofjo5d7DTrqYG6RUtOoFEwa+r41oPK2Lz30mbtHuEb/M bb+qnaCLauKdg2+rmZDn4tqWlqyLp05lJqZWMcH9RYiK9wVddEsIpcwn/vr+ dt5LoQJdbM7r3KtQxoTOyH+09Y900aTD36asgPiW+INnLVxdTJ6guHulMUH5 xXquwYQuijFnItyJnx6P7VDMnNZFi/lzwt2In64e/xnqJ6iHL87Nm+OezIQH fYsVRSl6qJd8SfZQPBMqi8IObNTRw1vKvn/+xjDh6ipDuTZPPSxYXPrQMoys Zyd2ctpHD+0y4v6dIn76ddfALy0/PZycyjz9lPipasyFB3GBepj+hOJvQ/z0 2tPJ7Riph0JDc+g+QUwotG/MvJNO/v3Mg/xX/qReno7SWS16aOEu+DN6FxNa D+gea32uh2JfaDMD7kz4eXL2IK9NDyOoFPkNhOnX71U7duuhpM1cD2niPzd+ yTkt+KKHiSq0z3XET0tCv50/PqWHpvfawMyZCWWnwsR99fSxeuM/Xt8m4msr d8acYujjlZ5EAU/CulwLToGxPjoLM7q/25LxXpJvPi/XR1cP726WDYkP7mS6 WupjSK8VlUr89dokU8lulz6OXV2/+zDx06z9+/SXperjEk7/u5dA+qW2Ndcx XR/j9zXf9SW8pM+cciBDHw3adE2FCGdunMcuv6KPJhvNFFeuZsIFzZJqeok+ yrvr+VYTnz335cdK+SZ9TCjum2omPnraydtGaEwfz0iXeTkQH7xq3+e2e0If c9c+afqfD9ZtcApsmdbHouqv9TmE2ausUhMEDXC3fmP8iBET3DR03lIpBpgp obb6giETjMbZXmo6BlgkMGH2T58JHzNjjqz3NMCUY0UZptpMmEybTijyMcCt /yyjR7WI/yYdvCLqZ4Dzw64OFBHecGJPfVugAcquF1CSJVzlv1HEOcoAT8vk WgnTmRC/QiJtT4YBmlqol4yok34vTShozTJAetvNiTLC9frC1do5Bni+5O3d /YTHVHhvR64Z4P6hkWMjakzwmPde4VClAVrkKdHHVJmwrC//xuk2A1zlV2Mu rcIEir7fxK3XBnjswQeRz8qkn9H6Vr1dBui1TkGrhPA11dpv9PcGGOlcHQyE j4edMHboN0DvlB/pYoTdWqxiDn82QCc35oIeGslvb7fS80EDXNMRyN9PmFmX FcgeMsBNnDfBKwi/XOj5UPaPAS69yzKdQ7jYQ3P+OqYBuviZOnQrkfdj5R/X vRwDPKqjUZdP2EO46sZ5ngF2XFgZEUR4pfORidpJA7z+YiJ2FWGZYrT6xjdA n9+9X+YRnooSshERYKCKIedTAeGfhXsOZM1ioEOFfmjfZib0tD+7pC/EQO7n I1v40eR80s79dBZhoJhwzM/lveT7sYGz6PccBuYtldt4ZBYLkg84m0aLMvA0 65TzDzoLAprl44rmM9CtQ9Li9AEWuPyJLjNfyMBM578/etNZYCk90P1qEQMV tB2b06tZoOJ3Q3VCgoG/xZJrT7JZQEmdb5MoycCCVFZmx0Li9zVBB2jSDBQ4 /0itXosN7+aZNFgvYWBOx1hgxQ42PF166WefLAMNo/9dfnGADVU7+YtC5Bn4 oyZn+90zbDh3q9H9khIDzwyqqWlXsOFYr3qcnjID9ROWPm1pYsO+WWfLGlQY uBbmKnuQ94K1oz1/SJ3k91MuvHiMDSZRlarHNBmYwfaKDxDmgFqhlI2EFgP9 lU7stJXggER7xIHr2gw8uP9Jg7MSBwTGP1xaocvAVfNWs1N1ODCiBA3tegwc vszLn21K3hPWV396GTAwVWx5dM0aDtzP8jNNMGLgQ50fSwScOHC96YW70lIG 1jS+/ZC3kwPpw/pxd5YxMCRtv0rObg7ESKWVWZkysHdU7fy/fRwIXj3W/cGM gZ6r919rDeWAu68LP2gFqRfrn6HgEQ7YnqtVFV5J5juvM3E7mgMrahRtMlcx 8FylxZ33sRygfz1xQBcYKH3yEO3UWQ5Iz/t+qR4Z2ICdEdVJHBBeat2wdS0D r23YEBOcygG2W+nPn+sYOEmbEahN58DnUwspR9czkL9BuuZSBgfay0NMxa1I /a0qAsWzOFD3ttu90JqBG++KfNDI5kCJgFnc8o0MvKN9T/vjFQ5kal0ua7Nh YPssPV3zXA5wOZaFJzcx8LZlyBvHPA7YP2JnL7dn4NsWicfz8sn4Mznpo5sZ SNWweOxLWMRxY2LhFgZSHly4so+wlwLv5I6tDNwccfGMIuFHP/IjxZ0ZSB89 43yCzCdbuSm0ZRvZD3W9fZlkvbCoyYCj2xm46xiL6ZfDgdeWhV7GOxh4pXO1 3xiJV1fcwXXIjeQ75jq55jIHznzgO+S6MzCmRuGVwyUOfCss3uDkQea/Gzqi SfLH4K1r5nkxkFPj5NZC6nN5hcDyBm8G/kmrUzBO48CWV9voer4MfFf5JTIy kQPll4RoA36kfnfOb91J6i/qc2vxpQAGHri/WlE6jgP1EyJzZgcy0NT6/LgU 6Z+Byt3vfQcZGL6izSApiLw3hz3708JJfDPsaJ+9HBi8u+CNdQQDt8ae2KBK 3rc5NrubqyIZqPO0E93dOTA/TLIgMYaBQtoJ+9g2HPCD+qy1sWR/fJTNY1hx oEl0X9rEKQY+3/izzXMtB47kNJ3wOcvAxnmV/vlmHBhqOeCx8hwDY9csdL2j xoGnsh0Kw1fI+Qgrrfk2zYbo+qRMmxoGutjelKspYcOv/vr0yQckv6kx20+F bHCe5pwrqiPnxXL3qFg+8V8T17NC9QxUXD8GoRls6C3VOFL7lHwvTEw9E2PZ YJTxeIdONwO7HZxC+OT9P7ifpThvlPTf9/ewtTwbHBLU5GqYDAxzG/plK8OG uuJti33Z5HsV9sjJRZIN5wceLmoaY+BHafA+NZ8NuD1eIJLPwKG1UrWmf1mQ ZaH69ZeoITpca1Ud/8SCTXJOhc/VDLGkyUs+p4QFmd/063doGKKW06xd1UUs +FY298OwpiH2SCaKd14jfoh1lEU6hrjz3vNcuVwW3NytGuVoaIjLBtMcRs6z QOw2a0vfKkNk1XPTzx5jQYtFssCIsyF2S7w2d9rGAomFfnLRLoYoYToiPJf4 qfvbNSYUV0OMq6ZSH29hAc9/bK/RTkO0E3LoW27HAo0Ut7fh3mT89dfGnutZ EPtOu3wmyBCNlys1Bi1lwZrAlh3iZw3RQFSk34n46lTvkGVzvCF6SU0dciW+ WrVuvtGhREMsz/jB8xIn8y1xmNufYoiJEj7R0QtYML/5fVXxRUMcNHzb8X02 C3qXjCzAa4YYugMDPcaZkBZLmWQXGmLEt4uHc8eYYDNq9K2wyBDfj1N+feEw 4VHzoQfzSg2xd4rTH8z839+7Z/m+rTDENgXqxrtDTAh+Ilkf+NgQ11TMVnrX xwRthmmpcoMhXhiTNbMhfjuQtf1idyOpxx2bDfXvmOAcnLNvxVNSb9/3K+4Q 310pR18i0maIOzblVta+ZsLcEPMDV94bYtfL8w0OT5iQK++l9nLMECsPVhTu vc2EFcY6+l7jhij7Y3WE5S0mdG/gmk5MGCJGim1ULSfjD8XZqPEN0fWHe9/X UhJfR8mBKEEjHPhGcTxcxASM49TrLjLCdZOftwnkEv8cjd2ZRDfCx6nFMrtS iJ+L2PmqahvhEbtDYqHEb6UVFofU6Bihn6PLuTNJTNi48Ubsd30j/FqzZNP9 BHKfXmsrXbXMCIMvSK3UPsOEk9ulp/6sMcKMRuVopxNMUGsqumi3wwjvVDU7 3yO+2647ca3PzQj3O+534RPfjbhofSfAnaxfGJGylvAL/6FXcZ5G+GU3J70z hAkHKDqij32NMG1NW6MA8d/HO8sjDQ4aYYuj0u/zxH9dJ6o8KElGeFLTeOw0 8V9hr9lBOclG+A1zXo8S3y1/4XRU95wRuv75dM2F8Kxc3iXr8yQ+cVtDPeK/ xevNuo5fMsLW2QmlX4j/jqXVrmcVGuHrmX8Pwon/ntNr1O58ZISjKlhlaUf+ v9kO0Zh6I7wSu029nvjv43XcH4aNZH2btpgVhEe2axSmPjFCVYuuaUPiwzZx 8UoOL43wRYzSfR3ivyKftki+fmeEfXO9x6yJ/0aeG/jbxjXCV3HKL5SI36Zd juo7yjNC/QPWj+4Qvy25LlWrN2GEFRer9lsT7q2zikiaNsIoBXl+6CommAyV sm0FjdFPZXdllznxrzUHf7xYZIyP9Rt2V5kxYQ9HuOOZtjEeWSKXwCY+615i 0e6ma4z3r8wJzCfs7Bn7YlTPGOfM4XRtJmz5SuiplKExdnDXqlcQ39UoFaz1 NDVGI5FfTw4xmPDdS6Bwcp0x7nVduEme+K9P53SE1k5jFGvRFHxIfNbtrHl4 nbsxtnDuPDhCeCtGhtp7GKOIb1W/GWGL8qn9Yd7GuKDLzOMu8V21+EmvBn9j VDvYYHFXk5yXNeO228ONsWlIiN9K/Nargk07m2KMNXMaHi0j/toqGjmyKtUY n3s+E5gmPqrnJVTHTjPGue0XiusJT0hIbnO7aIxHaekamwinHFyWZHDFGKuG yp4FEP+sM42YfFNijJepX2XuKzJB6tHfDpWnxniCxnG9KMeEI9JxuW9bjBFu D0n4Ev4cuHB/4jNjvBQTJ29G+KaS0lzeS2P8Uu6m8kGWvEdP4OpnXcbIuyQ1 pEY40OJkSdAXY4xsiP3zVIbE+3zuyTq+MapKfFu9RpoJ+9Z9OfeMsF59siwS ptTV5PQQlo2z5q0m7FIW8IBJeKvzUNlKwj9SXrLU/pJ6sz4pmBEWcTrnkURY YEeegAHhdZ8Wr3b/Z4xP1/p1yBMe3Ma02Uv40jZuuRzh+Net2yMIawSkJMoS 7mw4HJZGWO0U20qGsNe1DzefEu6J3PeYSvi4f66cwYwx/q7SrxAjrPb1kNZK wibrSlJECbe6bjbdQFi9cWng3P/FbzvL0ZtwaXK4jgjhXH3v+AzC4TZl12cR XltknnmNsIB13imB/8WnJHm9gnCh/lWfGSkm6Is/aXhBePJup8pfwp1nr7zq JTx72yxBPuFwwfD+74QH+1d/mSIsG2n3m0345caE+knCjzgakzOEB7IHcycI /3+TsNVr "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->{ FormBox[ StyleBox["\"t\"", Bold, RGBColor[0, 0, 1], Large, StripOnInput -> False], TraditionalForm], FormBox[ StyleBox["\"R[t]\"", Bold, RGBColor[0, 0, 1], Large, StripOnInput -> False], TraditionalForm]}, AxesOrigin->{0, 1.}, ImageSize->{700, 400}, PlotRange->{{0, 20}, {0.95, 2}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {1120., -210.}, ImageScaled[{0.5, 0.5}], {700, 400}]}, {}}, ContentSelectable->True, ImageSize->{1505.3333333333333`, 432.}, PlotRangePadding->{6, 5}]], "Output", CellChangeTimes->{{3.417831411761564*^9, 3.417831427678988*^9}, { 3.4178427905627623`*^9, 3.417842804490055*^9}}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzdfQ9UVFea5w1VRVUikfJvlQZTVYkRS02QiAKJ6RISG6XHoLQsI70uTWgw hqBtSMzYREkziB1Cm4ljkx2HgR4USLujZHKO5kxmhFVbPGdcYc860Z2YpjD2 SHdrqO62u0vBydvv++69Va+qXr0HvTunZ9ZzSgrqve/73e9+/++9r9aVvfpi RXXZq1vLy9x5r5R9+8Wt5TXur25/Bf5kuo8x81bG7nvOzuD9HWYdZi5F9a9a URj7/+8PNYpipve/jfgbM/Ff8L/f6X+yEf4zHyuqDdQGjhV9S1ESDn7ITM0b OmfC38vxs1NBxk4FjxUl1AaY6VgR3VyKhPgHTH3DN+FlOfhh7sKSm4VNx4qY +h4185ci+bwYj09FHD7f0uHzVGhUzuuBzYHNHjNebR4aV5Rgr72+QsJwXmcJ gc3M5DHTbQg9Ef8uL3wB72q9PZKCl6qvjBpImPRLcUhXRpOujEc6jF3Qp5Ga L388knLipK0shJ0xlqBCEcIuL8SJMzUs7cyIujAGurzhpTiUK6Mpb4lDOY7U T7SU3LTlNO8wlLq8kJAHe205URfGIJc3GApdXrglDuUwcpUVMHN/Vv7Wkput t/kwYOSKEmsDVv6BvJaVoV4ObGqwt14qT9LX/zCHrfE4VGhwqNDh8FTY0nFq Ek8pHhfzpfe1+hV/VaTp90Z//mTUvU6FuZirpr1VCfZp3av+PPLeBPjA5PTT 1S/H3Kn+dBneV6CWPPz1uLjG46NrXiCg5AEKmyIExIjuf4+8PExSqmEsSVQx iwSsVgag+MfNG5ip3ykBV8ShnijNEwxjOvzoZMyqw0RtKwibsb+LuSFE26pC 7oerZwZr8c5gLfycHue9iV7f+PJu8BvMEqxNCNQmwF8s+Lt/F2N7BtmMTz7F qz/5FH5Oj/N+2gSu+QO8J/FYJj6HswK78bbAbvg5Q/+9Zz7cMUOlpH+o91Nx 4oNtA9n9zmNFzTsQJZs5gftAidiUYNvlj0+cbL3dvKGwyWPOXZje5THb61lC fB0LGZzahU+f+HvHmQlO4X8glUJPY+Lelqw1MeyUQKcmPp/ZI/9GOkKyHxqf lG5YR1b2Z3XOrA2UXMg+7zyLjgu852sx8xpN4wF63zew6dhrBw9Urcvf6l1t rweDS2BuZso+n7+25AJLqKqOJ0tStCIVzQ34vniRdbitJmI+nsb3Qz+h96mq v1fGvic6JnwF2+3twIwY2tsL++Bv6hBFfNMb89dGjUt9zaOIeejqsaIGe2ET +g+UC6aW8PevhMaP//yXD1Wty12Ya7PXw81sCnOjiZUnVX2/5GbnzIFdA5vA /WewZ5BgYPOJFiB41LsaEzh2v70+vbGwqaoastaM/qyh8WAvTYrRYJ7UlN7A 31mHtyT9X0nPgnRqgJ3Hx7ZFSyx7JNemIzEXuo2BTc0b8rfaO1ASFs/8wqb0 LsYgL1/F3fGxoqrq9EZQERSnlbmzz5cvOXjgxMmhqxDJaOQjK+n6bCK26+CB kgseMxJL9JgLmwpfqtnfnxXYbFexVUNerimXG60FP3KcYetVsrj7yac2kq8/ vV1rqLkLyUjbFcqAawftHbayBD6k8qTWSwO7YKLIM8JP1rCUrcQLg70nTlZV eyvwwkRbTu7CmuOdGQObFP+DdGUbY+C3ESJUMs078tcKks7rhUebd/Q7gdTD KkyaYzHfaO3JsA7vf7cgcjD3k+hcp/zwszp6MGCbmBS24vvLh2oHPWYSv5m5 89ceKxpZaeM31A7CzyxU7aGrBz/M32rLgYvgkoal/VmKX8x6Puai6UTp49qA +6eckmd+VXVnxsjK+SoYGXHwj37mOuzbEoV/VzTmkpsUq/8CXrbA5uYdoDQE pvXSSEoSXmArq9kPP1fgBaeugLOBf87rNftPXQn2Ojg1TAfZEwQppWGpt4Lb cO7CwqP9WZScx8CzILy6bdbhXgd73gBh1Tp7B/x8D31ov7PwKCg1S+86eADy jGT83Hm2ap1wdNbA5gY7+BBmr8/f2pzOHsLP7fVVOFNL8PNTV/K34gCyzx/8 EAzghbjYLt+1Dm/7whBb7SBzw88fKBikXkMTtHfU7L/8MTl0j7nkgphE60hK zX6cZ1QEsMB5BPx6OUrYi58r/s6ZIDi4vTYAgaVCC1giAhv9LO99iPlj6wyQ ga0wYITVlGnoKtjSbbKdxOZ0z3zMtlovBXspdHkraPrS8MORFAgkbuYuT7r8 sZs+XE1DWIgfdmbgnd4K8M3+LTr40G4a/8wIH2ZWYKmFKPBgW81xFA5k/Fg4 QTTI9zJmKwNnThqWfT4XETyOPBR/8w641l2+ZCTlESUcXhbgjZ0zIdli6Y0n WqiuQ07AVIVt9LPUhrS9RtjALTLQDroP5Aj6VnKTuWsHsziABjtz2+vBivuc KheG+mU5cRJllL92JIWBiSZkjzyGfw3sLk9CrQNteVlLcFYJ7r1CCst/FIPP zOtiExb7oB4FZK270RhtOZ3wifNs+ZJMZNWfhQBKLgD8uSqXtIjEOp49AhO4 +sRJkpYpf216lyICcGeGvQOHGNxDbi0+xNF7jjO+LRoQI0UI9TC7fIg9j7QH doEjdDcsBXUkV+6ZT0pFDhpl6TGfupJCvugCVQFeumkTTiVYrp+lqj7zcHnm r8VpBgbbtcCaOFiWAC9T3Xbr8MkV7GsGgEEoDBII9CTm1kvYmujPMnP7IFe8 jBhvzrWhMoDizuOuyXlWmIcZFcV5vTPDSx9Uk89CGzKL4dt3GEK9MZ58rcBr CBVr8H4n+yMkDvbKchcGdlu4nZApYNJivnzIYwbdmInJggnNS9pIsA1cKGgI jGERubAA1cKUVHTOxDH0Z72iDfUNgmrC1/Zqkmq+AdQBKHnBGPOReLANhVdz nLKPXBsZDfpGCNK2MufZgU3kcUAhEA7ajTmwGxW2eccSchgbyGE8LGRNo64x xDk0RiI1wjl0lVLHtZwr+HF3622bsJFG+LmUpJPB3N6KkRQP+YgDlP2jTppH VoLrdh977XGV85hHs7MOJa34X9XDaUacr3N5rjXACTEPk7Y1hHOzd7Ut58RJ Skkg00U7Ry9uru1B4wjsJvcIfp+BN0IjNw+Ng06UnbryRMiVXKUQaVb8qBM1 x3ca4hwaTz6dt8YQJ+ZgMEl5XJ7eClvOqeADZMY3ndcVniyY0UfYOwKbHyWH 8Ro5jEdInilYNQ9sSiPDbCHDnMtxYnBv3vG6Hk6LtPqujWxNfJz/ib9vwBR3 Nelnb3oX4pwiDLhe4SEH2+Hu7JFgGyVdp66A8WWRH4IZ8My3lQ3sQu0wgUVi b5y8Lrr7wib2J3oWb+EW7ziTWWkI05ZDOeNqmukmMinKzWr2k7Es4ZNr7/BW BNseIzBZcNFJ7n/4uAY2pasMco4iUgSgsEsPZSKifGcDhaU8A5SQaKH7fI67 IgrnlJDnLoSr+thi7gS8Ffb6oasUgC5/jIUKoZTDepKsESprcEVOqaYQ576j RITzCHij91KPpB4xhOe8XnITfj4rjRRsdqp0gGBXi8nctzI3TCJFHLAa1nqJ HKMJPRdY/LKQDR6gzASqMOaGWs3/HT0ZWhFk99etwxA3v2oAUmRjuXISgTEl uSAODPyLpIsEAAuloUEqRfUMhjCI/lgPmLBfCfM7mxug87oH/q/VA2lDkK6z lJGv1so/eGXKM7EcPpUeM5JNVpkvBT+MT2ABi1QGlsLNGqvwwO7lXKVrjsPP WVLqoJhvGOK7fDf5NAgxFl+kEEVGlsMdI7kPe8h2nTxcg1DOelcHewkl1DjH BUqYalsZSHoFqQykVfCT8mRQBZT6bj2Q9yPI98BaGj9gzxmALGwij71Kzi5Y yzSV6S4UfgQFs1iF5SGpvuDYM0ljVpPGzOCGYysDa9ujh/EBxJjXnXwaJvpZ A4yiOPSROay014NVT1cZbqoUKiS2FKNFZjdXYoE0DXLmhFwbSTB7xF4PRmWM TkyzETpRGPq4NG05gGq6ynAXcCV1XveuVvwEL72L8qO5cprhwiyuI150rXQz xnWYjjptkDzCTJFOcecAyzUACakXtjG/QkZSRNM8Q2W45AfRjcO0P851l5Jy ctAYu2Eg2arBTuNTQaJ9Uw9jEmIsfoscd44BRpECPkPeDewC8p9ZKuOdL6Yc ai5e5Ytc3Mmvt3dAlvaUis40LlNbDpiRIUbzjfHUHzvO9DpWGYAU+d8zXBjM Dd5mlrDd/RJkzs/s9eCeCaSI4E7+nq4nkKKlH3II4CW/qwfyQQQ56Ew+ndn4 yZjPACQaJgBYSRI7xNwws7NVxkuZTnM6GEyAUjUpMapyIRlDCT8tHQJIj0B6 KzwQw/VBTqUQs8w6DLmuEUZBmzDmr4UEbDfHCI7kqMToeQ4Khj6OUVTqhDF/ K5jwSo5RVEyh8ATaXa9ERWmOLllmZJW32FcM0IlAQhwwpYJpd6hsl3JaTAnB NpZKGwE7phFgA1j0COk9IKQIH+x1Xged/lM9x2NHjFvetg7vGWTPGGDEkYO9 Ps2dmvMszI6D+xSKO6ItATbi5xjFmGZLiYM0V4oZR18zVao3BE5djNMQY8Fb hHGlAUZKR69wlUe8oJlOJRx2PNIfQX5FiaEoKmep5P5MyE+JRC7YZq8Hv9Ng hNE8eo9Q9jwdN5EAcWC695QQFWT2HB52oSU8bwW5ZXXeOou7SBI5uVSRc1I2 jPksXKcLb7qA9751uHTxUwYyFFVhtpxDmKs53P1Q2e+WsoW/q/PWmVL/wHJ8 fCAUoqmwCGzG3iTbqwdyBgeZ2WUdzluTbQBS1ceXEiOQIvC4uWKShAkkmDvm MQSy8Ki9HibYx6WafV6CxIz92A/0Qc5CkHnvI8SLdzMNQIpolxWSWAaPwqrm A0kMgGXwe2sDSnidzV1znCdKIiGhUlLx277r3csa9UDORpD71luHXYdPrlgR H2SxEg53mdzdkMTmStOEAbi4ftrK4H2G0L1qCbJqnS0H3NAqLnmSOoHEgACm pQvSgSB7MpKvJV/b/+5yA5CiFKT0FFNFyA8oJcT0FFThYaESKDHKs+0dlE9M 47NgKyu5yfNi6l9s5iA982nq44DkPtyJJevlu75ujDEX77JlBjiFYRLOwpdA zXo5TmoMfsxxYiEDs8tx1ofzG/w7aEOOtDswampyoN+H+/fp4ZyLwsRY4+ho OfCkAUgn78Avlx4pdw2vAUSRP4+rmfM6OD0+kKOU+BBI7AEroshA7wRACWT2 ebpGF+RDKMw+R9o5rAl7M9lSA5wiNC8X2oWOOkUqAJjTPCkoEBDhFO1HnuOA Y6/t4RWlaMvY5L2gBN9TNEP2PET4zvrka7jSCeyeMEAowrOoPZ1nwcURKlEp zONehXo/K1SGTwhxGRNs7VmurtRttaq80/f0JPkwNgGGxkohcFuH0/b2OpYY ABW1IQHF3gJM9TxhM2hLKcLjgCvgjkDYSbK0Kyh1noOSxlZGEDFCwFDe0oPo RoiDTpzs5GulU06uWBQJEVvYU8L7quReSiTJNinhkE2QyZMrHDIuiYJvSpEm A/4nU2ViBBljIgznOU6HNDYR35cvseXAsOIA537pEexdDGZtIdlmVrYc+GSM r22HsX9bdSv29sVWSkWxCLLlSTTny0JiXcr9KApSEdWsZz4td2dKbQV1S1b9 nbBTVzWFr0HDTzdUAE162Ocj9qGxuu3Y0kg+XfxA10b2WHzsuP5vxr2USHOT MKF6CRwdOsy9Swk7/bnShCDeZ0n3ASY4VboP0C1q11Ee2iIWz/cDnRR94KnY 6+jJKG5C00s+XeBtOXDxrscAOe6lDCEHDUXTepKbor2jsIknAR4z9b/miukv A/Uh5KKnTMhLLsCo/Rw5qhfotplfY8uByPG2HnIvr+bal5U2OT5PsA4zc/K1 4kUtr5y7My9W4SO298hNlKEhUMTt5UPAdAEESENIbyTvMEcOreQCz3uo22UX SWqvrQzKqDzymxW5NiEj8ptgrrpDeBwT7I+Wl4LwmQlGYEltKJ3S+EHXRgh4 TgPHIkq/J4UY0aMRZrGZgzCTjz7Js157RzhzxfIJlClPTh94vQTuXkjszXqY l6KnvjH+0Yq6bXndAnei63Demspblbf2DPY6phsAFwsB6UJ4OWBalH7nb6Wl jzmqARFw0QNM4t6U3FFeyBoyOHDccwEWowt8OQK/Mqd7Wd224rfSzjELAL/f dTizssALwHtaXuna2JsJgrcZ4KcFgl0cPwnSyfGLXNHJFYSUgio20e2ZIlwJ Kg6GrkTvasjq+3B/QIP9+wh8vXRIuOU9ziCeotbkvY+Wtxe+t+H16uImXxd4 HBxJ8um0vTiW0imVt0qn+N7vepWNaaAXDi+dSy1c/KjbFzhC8ClPq/5O6IVz R/QW7CrgiqnHzLAdwncyyK1TEEkKSQwpt2p+8+fsOXhZfvq3/9TzPy7+w62/ +QVLeG0+s+1d8Nr86kcqVhWt+tYP335z83UtsKKoXircBgZDKnZFNOcV3E1y IU+r7JjAeldT4KWlwNpA/lpI8P0hpGaJFCDjmrHpXzN+ye7AZ/Ay/fK+Dlwb 05p7TC9A5wgQRmr4/RH5HgA6hKOoL0/iFbfQ9QfkYCDi/yS+tHZ/uevLXWw9 vMxfOm79+uHhbV9ogRCpw1JuHGQ0j0hmAMgR8mInOQixUkQgsG4Aa/9JSN9U flEyOUKW2e7rTj2iKQRRXKWFFHopb+KIBg3xL08Csn7RdhgnvPdL4YAXHYo2 VORpDrbjhoSujXcimf4xf0/FErXasEMERB+VXgB01cFdHLWDqY8g+v3kjjFB gWviMcVl8OIH7sh+AS97eJcP2CWkd83nvpGmfraUKBCljoBYr7dxU6dCXZOR Jdg++hl4+tPgYoIaAxQtu8flDINU5ytKaPmH+GJAB+kTX7HTgtLCwG5wo9XM H5fvR8txb5kmX9FDJ75Y1IEGPaYS+CxuS+SCia9Y27fK68EVxuc7+lnqkcxK Tb5iH83jfCyUtRFfkfDMlJoDY/dJXqBtxDe9i8auyTeR8+XbMH6nwVh0zahD j/EHhEpdcZGvEGP0bsDcJycbVJvSWMy6ANCwDuOhMetw8SItxiLALZG2Aiq5 gI+GJDGTqzBJ18fBkcdLlHYb2K3N2MoZj36GKT+g/a0Gb9FCXyJooW0Sb9H+ n8Ftk63KXcgrTNBq2pzAcYDN3mTXdHm3f52WJ7R4i6UE4u28TpXGAhUm4o0p LMiEeJfcJCsyy1mHIUneQFd4p/Aulsyu1CMQqn+jwVno6mI5dUCN1pBEUJvB bQo8Yi/njDsZIGfi+3BW02xpjtoU7AvzF5uotPiLzSXEH4Mn2DXxF/FrBudD ks6RqgYYTMLWsen8uSF/XNP3bdHkL1rpi7na03iIv9hMEtpWDr9jNWxNb0Rt gH9QUbNV7Loeb5Nssh8vYrc1eItGOa13AgY3jJnWGGk54KpY/PqQ3hNvxDQA 2TjKCRIQY943+NYQLd6iIiXemAOLRVgZoYi3SH6eJctts3egH4RAfPSneozV e2d+HREwRI+eWGK1o/BtWrIem8YNzFYGbhqzQQsovBt33YLqGXMUu4p+rTFU 0Xcnvh4zhSLiK6os4os5H+D7Kr6/cQ/PALB/0eNpUY3yVxo8Re3pDanPhxGL 79RkwZ2qMO1wT5ohKxreWk1WosXtlb4AtIVYiShhx02P5+HqpXpMaNfG69to h84vNZgIWXm5U6JQxOXJQ2OyUGGsTvVY/YNkhRaZtleTldhWTqwgXbkpWUGR Y5OshMYasbJK5wOBPRDJiopa0fIgg8eGIYhxsRJ2u8khTfWrWYU8LGdC2yAy zzk6IGsZ1WAi5oGYYPYNHm4x915kAmLDNHUTjcZDrPpm0z5oLVZiPw2xyl1I CUDIsYJYp6q0Ee5J12NF+yaw5dHrYF9osBILKMQKTHadZCV811SV75oQK1Dw 0748TVaiul0gfQW4riXSZuFFrPBsFxegLivay/DOetoNckuDlVhxWSCFBnNF rERmO5XPJ2WhRqxoR4KPb+q4qcFKbA8kVvYz1JggVrgYBEGJGieYucNo4Z6Y Uy8xrAbnJJ+GPPKmdLlkS6LXR0xsOZTUPc4Vn1J/vkZnp0hnxCRJbqSBFOYX GuMR6kwJKno/UIQnuLgoqBKr7BFKpYxYPUiLqj8is/25BivKGfycFenYuGRF WRTVthRPB/GmmONW0azMQ+PY2evN/JkGL1G2PqaEHd8TKskSL2wGcG+ky2uq atOZFithOo9xh0B+lVhRKuTnrERiqscqtLyPjq90ChvRYCV2cM5XOQSqVTEj gd+JlWc+ZV0qVlGOzy5jIGjEDQ0moqieL8cGWpGmstsHQswP4E0xZ2bUrKZx b0R2+y8arMRaNLEqX0KZa5okD2MiViI2ToSVefQeLqO2HPipBi8Rb4mXyEyJ l+h4PsDdEWmHEa/pvD/r60JVv67BS4TdR6VjAJ9EbSmPmeLF/ZH+SJfXDMGr G4X4uQYvsT8x1KcItcB4FR1aoQI/CPfEHNE6wmkQr5mcF8pw58A13l42y/UU 7KNY0KHisgRj7D8r4Ugcal2B+RLzqmryKsQcSxWeL+kyn0U50z3caFW86JMx 5ufdedHPGrpqwpNQ1G8UvEXbl3hDsYfeKl26FkjPibdoWxvxpnVjTKMyK3sd Q5yxVTax8OQ8P+xuEe5Z1NPEGfNeyVksIlojLWSFHmdcDDa3L0u+5jjTVvOT KM7BXoybER2sEnwvmvceaUJy14RYlCT+opNkxH8OSn3QmfpjXPMDqV+NXFQw iUl3041C8KLN4JHCBjbLuOch7aaqHkJGIxe8Lvu5vOWO5X1qA+Swn0YqeAk3 yvA+m/IkChXL+N8p25MLWWjEcE+mHrsUZNf9dVzJKl507g773xrsRITwCD8h T6xQDgh2bZHvuXAlO+ljBSNc9E28MY5eNvn0zoGLdy9rcBKh1x2aOjtfmRRt GQtHIEOv7sBcyO+8Ey3X0dH4wSdj/6TBT8Rf4kdWfYXzw24M1OShrgQUcnBP Vhx+N5CfB/l9tBw9oOMMju9/afATMdgdkt5uvu4OKe5qoVumkv/G3IFnDPk9 ivx6lud148pv8aLGD/6nBj8RiImf2F+wXJrCqY+4GdGKJ40vW4/fY1iFnHfw BVvX4Z0DUC9e1GApym5iCVm8PIxlGvp7PDPPWULxjWuVRixxudLkn1valNnP cM3PlLZ358DxIvaPGmxFa9hFI1pJiSeqRyLucr58COcQN/0oT+nxWzRK+4P3 rc/sIn5mx5kC7/53ex39GgzF5gNiSGlTFmcY2Ow8S6dARxS/EcPHKWcbay8s FquaFuzu+Lbgsiw7rcFUrAYQUwgubrHMah5JKU/CM0tw4dN6DNOR4XnHO+ux Hgot5m1Javygrebcnb+XGfcmYQOhFXURTIBczOkYNXladfPP7cmo206rbmac tORrqQ15a1gCvMwtB7o2nlxx8e6HkWP7Br4XTXzavBPOBIgfPctC7l2IWb0Q zJ9Gg7h8tydj3/rtLxf8CBwocJ/iOJPa4MsrXlQ6ZdsXW5JgOv+2rQbqmC4N AKIpT9sfMKpDugWf0TkbWj3h2w9iV0+UlC/++bd3WS68pgytGMjoLTz+7f3V jVU736rsfv7cijNPgBAWwOuJN7/Cdv6NJmuxB4dY08rOoRBrWsHiuwco3KKz N42tVa1gsVfxMR2dGmRFvTlPuNYcnm+HyFr40j7+ytClmv715L1L9y6x9fAy 37P/474FPzy5QouuOLg2j06hwl93hSZJrrarhXSHzOUQhlNNlHiCUaIUuYNE WRRN5kZr6tnk05pk8tdS/zclcvpiDiAhGfON1vZl2Mg9okFHHLtOkXMB6YQO ndF7uI9Ci47Y2ZcSKXxNOnQqfEuzdRgC8GENUmI5RBwhocJel9R5B23j1SIl zs4SKXsHbYvQJTX6GbbcNUmJ1WXaZoPZBu/FxJxWQlLihDRf8euQboZcmih4 iIrwowZUsBdc4O3QQCSKJKJFuXdvXFpWvoFq9LPtL5PY/1qDnFj7JHL4aBQu K9VpsQhCg07r8LaL0YTUNcFc7mUoU46HS27som4/P43PfqhBUjgr2kCBtRXg hM9iTmHFkKQD9B9okhSHfYikKJuMSFJvPu0crcm0x5BMyLXRkDHL4uWOMTG0 y5YDGsRCWe8c/p6SmfgkW8MN9dQjkMd/yto0SJYvodUnIimeqDAhkqjILa9o khTLUOL8Cm2ig89ijp/FkBy95zoMDlKLpFjZIZK4dgaGZ0TSokL5VxokxaKJ Uzoq3jYzJilQapEU7oAfBDgqm5i6JBPljINGtkqv8A3pFY69xonhA2gmQMzK 1wddhyF3+ksNfHRy6zbfPCDKQvhMHrkT1hxBDPvTlbc0iYntkQ45cJgWFTFN 9aaWd2kTLbQciiS5WeH5D+5CmC1nHKx6QiSx35xZqUlSVOVEUhyONiKpPmX4 Fxok07sopRCHeqgWNCJJrWpfF/WP/6sGSbFUPkvKlVetMSf5Ykiez8RCRJMk VKxnJUlqQbQYkpyiatW+p0FSpAVEUhzDj0+yNXxMLpMPvEWDpLDrWdwTURk/ EZJ4YOxaZuUnYz/QoCkqvlmquTKi+aC0wtIp7AcxW4ZbbzfYm3e03kYK/IGw osKjLQyKH9N2pFmnx4IaxvhYB9Cqg7ylE3r0lr0j2Is7hfB+oi9WUYk+9d8z DOlTlxhLYagO/5zTv1/Sx5Ti1BXqK1hYRJ4wUwoMPKGKQ5QrSOZFGh0kzDwQ Bd67uqralnPwQAi8cAxEmrI+xRC8nc+p44zrcK/jXY0trKeCtYPHXjtxEol8 k1wF37BEWwrC+aAuE2oG981OPp3a0O/8s0jF+S/kK/j6J9EU5yuMaFLT96Pl ydfS9p67804MTQj/M0LSvoR/flPPAKmti+lJ2t5+534NhGItkxb06eTGJkOa 1L7tAYQg2szva9AUDSeiKQpqI5qzuCQdnyef3jPYrEFTJP5i4wHlLEY0Z0uz xoNtb2vQFHsLiWY4g9SliR1cy5U5meewswcx8S0NsmIBQxz8le3ZmNOg6knH 9qgZn66VeuR40fc0aIqDh9Okq+BppC7NuVyRsAm57eI+DZrCqkIHeHg2qUuT jsEMjWHzPPVIWw3bG0m2VOi52FigTvAl2Sg/QKdWejKwL+zLgxj+pzJhIYQi eSZS4bpKFyEdLxm9t68Ap714Ua/juxoQxZ4teUREFFn1enTpTMjQ2PaXkS42 k+o06IqeLtHFDXC87NKlS0c2gG41P7Kx/10oTd7QIC0iJZHGp5YpfYak6UTF oHNLM6qA40zpFPDj39EgLQIvkc4+L/vAcUi/ETrzYO3JQD3AdGFLEujC6xqk xfMbaGGcotp+/DDmyKyatJenX+2FBe9Tv9CCe5T29BwvAmt7RYOFCDvEQiz/ G7FYwtefupeVvu06y3lcK/Du6aFTA9s0eIi1u9CuBd5m1eWxlJzPnIIf+bpd Z0NNwW1f7H8XW3UvRjL5JvdApOC0sh/OK3WZZHBz7MnADfmpP6bWoM1xBiWG nLApd/HuNzV4ic0yxCtcCRAv6jidaDl4oPVSVXVMx0kwzqZs/l6fo72wbnve +8nXHJ+zRGCehKcB8tYUL8p70bcF+59dG48X9Waeu/N1DRBikLT0T9U2FXV0 GJgaaZcPhRppYyq1XkWp6r1BZ8/y9wr3rd+OW/i70865ztqwMXq8iI4drNfg J9YlkiJ9KPGjViQ+AIEfh4CUBp/vb/rlj++U3Sljz8PLcmfVHXZn1c/ezFvD CjWIi63jRDwc8xpCEg32BtuGrjrPxkh0PDB+fPw4ex5elvF1d7vGk/6yPPWI 4GEWCZA4tyROcMi2cZj60HjtYOvtkgtq6vDCfMPU+CvI4JazDRqgMaoUNjHx 1EiZnsQcx5aUsN0IpVsUJVq/w1MvijhBS0uFlF7GHEeWlG68UfC+o0OTksiv Q2dxua3Fo2S+8QZvbqzXICW2wfLHWF2QFhWfFOiX40zeGi1SIv0gUmIBRocU NflwUQ5UrECDmtC+++Uc8PgTc5pXTQ0bYTsHNKmJNiFRw7UwvmKoS230s7xu qPKiqL2g0gP+LLWtsiEUj5roHuKDLPa/+3wMuYTsEfEwWTrNA3+NOWUbSQgf gZpZGUsotNRPi860HbNFTY5fioRCzz3EQ+Sg9+s0aIntJkRLnAjQgRZqRoqn /WlRFHNAFD3zZYUYj2JE8xBb1PhwQGnwL6h0jNZmcVGMp/oxB2u16FHL9AtB L3RlucoILMJJiXLbiCq1EAvep3MXX9OgSmceDnGqePKaU4hPtTVMFZtBe3o0 qWJEkIcZxfFM+Czm+GsUVbPsV0EalR9JFb+MwuStCO03gCIP3IN/wlRFk1eL 6gu3qLFG3lc8/gw+izk1GkXVwls4jjMg17WxVG14jp1WgvyQ8K0KPDNRkmIH aBRJrJgScQOXtwLzR/q+iJijlVHkqJVY8FbyadDPNZHk6GtYcA8kc2OhrsQc HNQihapZujia1BY+3bjQylSUwiYtFdEqu0ktB/DZcbsiuf3OQI2tEkFmI96N DQHVl2NArgN6bKIWAN1/x4ActQlxr+j+d/EZcdjACJ1Hs+WwBLAIE+nahKhR hzCzn3RhdRQ1wEWPZ269RNT4TqXfGMibCOKSVfGiGIL2Dg6PmmMG8FrDrUHc uNTyCj4mLaaZUrO/9VLrJS68CZIzj95LO4fjfXYSM9ka7iri2CAXm/zd1EDc t52MOXfSdz/Im2LJ16CYyvm97jYPjbnOOjr6nasmrcLY8TOfd/BGpS/u7bGW kyy7kaAN8e+Lxza0k7N0Cj4NapJ30+ZMXBCE9OWZSd+N7TDa2smfoDRJecuH B0GdunP0aRlhFfGVXzo3igf64EanzManJs0XW2SWQAq2iQq8EIqyJk2Bmld4 OAgfkZE56dtpp2F3RvJpx5mujSsmfTs9O4Zv19v2BeDPmPS80Ya/G+P4mI/U BrCVZZOm8BBvDVH/6gtwi+mT0PcUwb0JGx9g50snzR37SJa+2fhEJ9dhiKZP TJoCdows3RmOz7FXBhFryaRnAXe/WQMp27+P84C7wyAMeydNBdtAid3LsJGP HrPlldRJk1iA8W7QueVlHEzy6eJFbTWfjD06CXPCpg49I4MIXEvrLFh7coV7 0jgWc6vsydjycvI1sbWrwLtnsGsj6OhDkyaXRk3nFe9tKG7iPRpLakOBd+cA bWaaPWlyy3g3pnvZ69vy3nedpW6MlW8F29PTVoN9HzZVmyr1H/imZ6ZVwwuV yuLNwo+W7/t22rnM/rRzydfoIQxTeNsl78XMyj2D2Pc5XkTcErS50TPekRv+ 867W4+jDVOLy3b7Z7aLVktdNXO+3DmtRxmaESWxkNlEfBT7BBwiYvrz688q7 Fexr8DL9quJX3/p5OUuAl+la/T9jP/dP4hETe5NNkZ/jk9RNSsrY0bGjrHDs qJ5I3YoSPUD495Dx1P6hropvUf++ccf3zP+eEEVdRUsLfBMkSyhswgJe/dVV eJVWMgv/aNlEtXsxMfzVc3q34WKTRe48jPpuO1Vmzy/Gr8QI7SeM+upFyYJf Sd8Cqt4nqP5awLHwdfzf/7MvUsV9sYkjLvw6w/S+bGVIoW7PQF224q3Dr2Xi dTb/1pvpBteKSTK45OeSrYlfx3vY4j2x64R3B9vFg4VjrxFs4nxkSN4c7MP3 J/qm/f70+ZcE9ZW7PC6W4PQzk1Mpdw0JNyWuxW5KxJdMJkQD6af3uS5UOFuu z1YKv/hagUeJYqvDr8QyM18uiGzEBb/okoN7foa/nmhPl1+n9UC2MlAHtlAK d7ic/hHfBOmEx+f020o7fdw0GnzMZW8f8quJqL8EM2ZshSTkbIV6Sqf8zDci Psili1qVGFHFIycw4aMh4VePi44XBUoZILKVwjWTJcQfGoPUWhWClMgVolwl afX3dJqih9aq2Eo9vn4fHl+xVJWWkDGdaCepW9L7uHGN0CzokILff8E/NfOv jev0EYES/8QJhIcz4vOWis8Th0hQ3rqo4Ygvp1OTeJC8U7vT3+9T/B4fH0G/ TwuAxt0xI6gipbU0102cQHgEwT7ULppNa6A0m8aQ7Z8AFVrTO1bqLW3gAzBx CUbrxYRHke2ftBhoFMv4PNQq9naIB3Btc+kE7sY1W0t+Kb4nbTZPFjV9CgZG 77OVSQ6dkNORsIPt6H8IORiv4jfWHoRuriLotdzOJ4o7ET/NdQXqoj6dAFZ+ cI8Mlg85vf1Y3cSHjMpiucxvd4342KRg46dW/DQARo/fyTf0e8G3cAflcZ1S IvjH+0LEhGj8uT58n95X0zfp+6MGooCL5GEnxs1NgFJoRGZ0xujiyT9667jd iDghv79QDRUdj/UEkgfWIz6MLNGar3lfDHwFAxmwjp6HeHeHdQgDpZNPkmWg jjKTsLWGvqhQfTsustqCfcTQhbG11s9jdwRfjRs1UNuAo70vFrX23SHUtlPk F0/AZIDHBxoUnPmF2YBmSBEUT0lfCrlXriudghPiN9eS7pXwqA9R1NXq51Fj gkQEGnOQJs9JYdzczJ2A//cgRM7H2u8rbLeDZO192f7mOqr4bOnCSu2YpUBK pHZw8BpHcp2ukI5anH476LK3Du7nMr5P+bdKmv8D/4Hd938A/DMIEA==\ \>"]], Cell[TextData[{ "From the solution, we see that the response R only shows transient response \ to changes in the signal S; its steady-state value is independent of S.\nThis \ is called ", StyleBox["perfect adaptation", FontWeight->"Bold"], ".\n" }], "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417734685486194*^9, 3.417734821257917*^9}, { 3.417831140696184*^9, 3.417831147457087*^9}, {3.417831187035434*^9, 3.417831202775221*^9}, {3.417831291717893*^9, 3.417831334872607*^9}}], Cell[CellGroupData[{ Cell["\<\ Our sense of smell operates in this way, hence this type of response is \ referred to as a \"sniffer\".\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417734685486194*^9, 3.417734821257917*^9}, { 3.417831140696184*^9, 3.417831147457087*^9}, {3.417831187035434*^9, 3.417831230544626*^9}}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"600", "*", "2"}], ",", "400"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708185938001*^9, 3.417708225066429*^9}, {3.417708938849448*^9, 3.417708938949304*^9}, {3.417729994817061*^9, 3.417729994961415*^9}, { 3.417734582520106*^9, 3.417734582629582*^9}, 3.417831230544821*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnfuDJMd90FV5YAzEgeYdwCEQTHgFdmlEeC6vuxYvgcNm6ciYPdQCA3uJ J+ZxbMJYezQKezi0uDPgcYA7gzzmjmQE7GJgxkh3YEnOHfZIyq2ts+WR1yud HV3/E3RV9buru6uqq7urtuvzw+3u7PZ0XXV/pqqrvvWt73n8gz/4+Lc89NBD HwQPPfRT3/rQQ75Go9FoNBqNRqPRaDQajUaj0Wg0Go1GAgCYhd+tLGCtei2L RjNkEhdHACx6LYpGFMlFDb+NXsh9XXk2AOZo0kMRNUXiyzYFwOu3KBpRULq4 CHpCnueaYNxHITV5oquzNMGo56JoREHpoo0lXNrA7b6MmgLR1XH0w+Lpgc7F CTDxJZ85I33tJSC8Op5+WDxF0Lk40s2hXIRPDqZ+WDxF0LlogWkvpdOUED05 6IfFUwSdiwB4swjdR5UAEGJ7y76LohEFrYsJM+L7aDoFgLEX4FrA1NNMpwVa F2fxH+nBAgmIL4inPxxPDXQuOiD89J0B0HkRNUXScTdOryXRCIPORTea4/f0 aIEUJJdtAYB+gj8dEFy04bVdJl9nsDkM5xctoB9PZKBw2TTqQ3ARWDP0HGLa +Cv8nYPbwzGweiqnJoN28RRCcNEzgW0DMF5Y+Cv83cqG8agOMPXIjRRk+qh6 WuN0QHpeXHmOaY5XfvAVWC7unKJ1GtZYP5rIQXLZXGD3WhKNMHQPR0nScxo6 JOqUoF1UknCu3zH1XP/pIeWiDm9ThygEztExcKcBDxF+wMJLqptIjaYXAMhF mWoXNRqNRqPRaDQajUaj0Wg0Go1Go9FoNBqNRqPRaDQajTBWrg2ssXwrNyVb 2G2HIVxylUpzmliawHYdCdcmSXbXO2DsQlRMZS7jx61lhXH/y7FlWeP+FwHM rAhUloVjWU7HVYb385kBs//ayCKZi566GwpI+XFrhQkbFiZwXBlSasAcWBi4 oGsKzPHY7LbKZuEtL9+eIpK56JvKZhiQ8uM2chHne5tIcLXt1OqRlQk/HBam 2eVCy3Ho4FS6ZBYSXJ0Mnqq7c8r5cRu6OA0T4Dr9t9rTVC7e8GKPO+0MRXWw lC5Ns2wudnxhxCHnx23o4jhMgyrDJ52TXGAHt5GzTlNlW9GuBaZsCdekc3Fl S3C/cCDnx23oYnjTB3d9/x8UKyuW0cQpslfA7PD8cc5D6ZIfSueiqjLK+XEb umiFeeFXMlzupRVuHBA7aHaZtl67yMBKyU3k5bzEsYu4TEspLndwgcP9BMLS WF1WmRUNHkl1oSBSXJwcwbXqfeydGe0iPSsH9ZX7cTHaY0uuhwmIHBcnx0TB hlHOj1s5XYQzGx7qo+LnxU77qNEeWxMJnp2zyHJxsshZqkrk/LgtjN1Isrnf Al3h8NG620+IaI8tR6oPfHe8ku2u9/B2D5KVigY5P27jOQ08dOlKMyyGNAzH nqfdfkLYaOhoAjqNMKjDAaYr2V2PY+BUjIST7+PWGS0iF6NABKv3lKkrHPy2 Qjt+hjuxjrq93EsL2GNHtuyxU1u6FRG26U5d05LpI4sS2T5uV8HtNjLjGDj4 CSHDHkZO+GkLm8LgQTG9MWtX4CB+iZ7qMZ4lmYurkQWskSS3MxPyfdzOgtIk seF2cAf2HxsOqwlFqYexeWA0kiycXnMKkPDjduYka6Zsy5aicEE1JSVZjCxr 1P8HhEaj0Wg0Go1G0zGLcfAs76o4CKHJk86eEYZZL4PLq7e7VwM4QjS25Vrk reEjkz0DTYzhnBUjfXlVAM+cSDGho2lKJnuG6+KX4CyZXOuGNWTccIlWOtAB 5hrsqzxlSFgk6cpEyJ6x8vC3tkSziZoSoouUDgAU56LQdxLzRlKWSQwV2TPc bMCbbCUPkbNYdaVaiAoJi+IdkrBXnINX1LvLd9/LWCYxkLNnLD13sspFNVeX vLqGauqvtWPb/W11oSuOFbfgZRllD0jkBhp6hFwEURCzZ3gAmMD0sp/d1SWv /o/V/LdbO3YALoL8G4Z32Xf/3d/T7W2tJEIugihIK/anwJz5K9dMFbXvOlOT 8mpv28Vf+hv/yCf/+09oG+sQchFEQXIRj6P6I+1iQ8qrXbiLs1QnBoB3GsZ7 /uwn58+99kDIWU4plVeoBwjZM/DyO9Q8xn/W912tJqlajsHjYcISJESXbZJ6 uA/O8i7D+H1/7pNzbWMVQDIXCdkzom9zQ6uylVxqcpU1ShCcrMQOr186o3tw 8m9fN77rB/7Cf5prGyuQ7Y4mZM+IxubChekRspVcauoqS5iLLm4Pw/Cb+OTg imH81o2/+N+e0zaWI9sdTcqeAfDYatRkxq/KVXKp6czFQEJ4lUbpPgzqHp8z jO/fePT/vv6CtrEM6e5oQvaMMfqsneWmo6Urucx05mJwmYADQ/lTwcPIxaN1 w/iBjUdf8rWNZUh3RxOyZ6zgKo0RnNhII13JZaY7F9GimuyaKTxsdMMw/tAG lFHbWIJ8dzQhewYxoYZ8JZeYDl0knhy++3nD+OtYRm0jEXXvaHVL3gNVlbW0 vFUXLp4EvdR/EMqobSSg7h2tbsl7oKqypiYwRx24CHupW09GMmobC6h7R6tb 8h6orizParUy4zCDoJd6KZFR25hD3Tta3ZL3QF1lTdpM3Ru7CHupt1Iyahsz qHtHq1vyHui1spLwO9hL9dMyRja+3VfZZELdO1rdkveAJC6iXmpWRmzj/BVt o8J3tLol7wFZXES91JyM2sYQde9odUveA7K4iHupeRm1jQh172h1S94D0riI e6kFGbWNvsp3tLol7wF5XMS91KKM2kaF72h1S94D8rgY9lIJMvqvf27YNqp7 R6tb8h6QyMWwl0qS0b9/e8g2qntHq1vyHpDJxbCXSpQxsvF+d6WTB3XvaHVL 3gMyuRj1UskyhjbeHqCN6t7R6pa8B6RyMeqllsg4WBvVvaPVLXkPyOVi1Est k3GgNqp7R4OG9F3+TpHLxbiXWirjIG1U9aZsaqKi/21eJHMx7qWWyzhAG1W9 KQfoImeZ+///Es4e91IrZPTvvzIsG1W8KSENb69tsC2uLPRwFfr44IDLp7sH knz2kM4e91KrZPTfHpSNqrrYsOS9uHiwz+4EPobdp6sZD/elczHppVbKGNr4 wuutFU4itIvdwONTVid6nwoaAumeF9O91GoZB2SjdrELeNq21CEHB8fBC/tU x4LMcalXecotBvL/Ouml1sg4GBu1i+2T8pDOp8xR8QtUx5Y4L6GLqV4qkvGZ incYho3axbbJyEHr4tXNolEUx5Y2vjK6mOqlQhk3qmQchI3axZbJ6kHp4mWS UfXHlneD+7zMpT3zVC/Vf6ZOxgHYqF3kOTH1mW+uZe2gcfEuOmJv/27u9bpj qx5IpXQR9lIvRt/Xy+i//dpzp9pG7SLPianPvMbezzxG3dOrxV/UHHu1amRI ThdhL/Uw+oFCRv9BaOPpTKiqXWTlKr2L/+OvAHAh80q9i+GTIuE3lcfe3Kss lozPiz7qpZ49iX6AMv503XthG09neuPBurjJeeRBvqkr5+4Pgj+Ta99qXbwA wNrmMfFXVceivvD18reV1EV/N9VLRTI+Wftup9fGgbq4w3nw8faZ4Lx0beqF oIXbyb1W5yJU8SZZRXhsyW9Qv3an7JcQWV08OZvqpfo/+yiNjKfWxoG6yDDP lwbe85t/nM7FQKvN7bwfNefdgyqW/TLoHB+QfwOLdYH8qxBZXfQP071U/yU6 GU+pjcN1sfSeLwepeEz3rHmBqFX1ee9uVqjoH5T1QlGxqksjrYv+xXQvlVrG U2njQF08KG1jqoBN3THduA9ZxZrz7oDNit/eBWCf9Dr+hKgujrwuZnup9DJG Np6ipHHDdZEwa1BDcNPDe57Gxcslnc3gvJdLD7pQ07yRXaRRUWIXc71UJOPj b9G9cZje+JvNiicNA3XxuKSNqeQybtQoXDxeK+tsVpwXNqWVTq2RTkyloswu wl7qburHl95HL2No4ylZ4DhQF6ucKOPmGnaFwsULpW9fPshSOW6DIJ54n0bF YmWtXBtY40XtgSKocRH2Um+kfn7rcQYZ/a/hVBynIRhHYRfhNfB99E9Ixffz zOvwBVYX4RQe6l/WuxioeKbEj82ygw9qVSSeOGiBy06VJn+ZlyawXQeAaf2h zambkL1lGOupXiqjjGFinFMQGqe4iw1gdfFC1KRtg7Xqv6zSqlTk7fqRXcKx sIda++CbDU9H2MAN/p0Bc1l3sABqgyMuGcb59M+MMoZh48oPqmoXKbkZT/HX zU1CP0qHQ8tc3KubISQfu1M7m+GTXJwBC30dISXbpj5QacswrqR/RjJWrC4u 8PYX0aDqF5UeVB2ui3+f6WxBXzASrCL+BbFXFZhT4uLdunEb8rEHtA+LORfH oYNTYNce3Zx6F2+tG+tH6RegjFVL/YvgKQ6l98VR2MUmJf8/84/9ENMB+0m7 VR7/grhb/rDol7p4oTKatPTYoFT5lVVkcpXlhA+Ky06uPkUA7xXDOJd54a2a vBsk8KDq55UdVFXVxaoFQhTcnn/s+1j+Hg6RRN/XxAnsVz7BkV2E/tYXongs 9XKTXGVZIBxBNUEHD4w0l+pcrpdamwSHCN7B8fbXGA+ThOG6GOd3oCEt2M3q +ZC1Sq2I9hxvU4UeFI6tjBzIkKssECkIZHHxKJVwI4RHRqUHVQfs4m79n0Vc B+mx00oXb65ValU2R7hDUYrCsds0PVuE9C7611IJN0K4ZPS/iXNxKDioOlgX /41hHNX/XciZzE1fac6F6rkJootnKAZuCMceUIy9hhT6qLPodVlcTKeFi6jN SEVG1SkOVV1sWPLb839deEAp52r2pq96Sqt78iMde5UyCCh/7DbtyA1h7GaC vkozduPnEm6E/Es+GRUdVB2si//q+wp9olI2szd9lYvVIzfkYymbxfyxB7SL mv1CZblgjL5OJJnTQNzIBokjaJLgEHnw5ReUs3G4Lv5Q8WO4hHxfsMLF4+qR G+KxtM1i/ththnVfucqaAXMFvzqSzPVjsksZMdwyxqs41LFxuC7+I4N29Cbf F6xw8WrdgCjh2DO0Xc3tjOd3GZrFQmXZYOTDZhEr2TK0LuaDxBENZFTNxuG6 uH+OcvSmMERS4eJ2XaGKx16lHoHZy7z5Hsty6EJsuAXssQOiIZx2oR5mO8wF iSOayBhOOCpi44BdPKRsGAvBLeUu3q31qngsdbOYK8gmSyq7kjVTXUSGsySU zQeJIxrJGE44KmHjgF30KRvGwjKnchf3aufsC8feXaOemLiebgkP6OYkQ2Re S5xmyzCuFV5sJmNoowKhcUN2ka5hLM7ilbpYO3JDSMzKkHknk3yKZeRGHRfh Usbi52NDGUMbpV/9P2QX/bPGev2fFmfxSl2sibmBXMiXmsHFdPKpmywjN+q4 WAwSRzSVUQ0bh+viDoq7qp3WIDwClrp4of7Rr7D4sWbVR4aUi0wjNwq5SAgS hzSWUQUbh+viNhq3K4yh5yG0W2UuHlOstigkSN2pWQ2ZJuXiGZqFHekjVXHx aN1YJ0TtN5cxbePx/hoAm+yZANtl0C4eETtEWRhcrJ1c9HPjLz7yd6fumJjE xaC13qM+zFfJRdhLJQVE0W22UU1k43G40yztoFlHDNpF2CHKxyPnuVqM9S5z kaaJy6tN429M4uJlxlzLCrlIChKH/E/qLMYV4EUcfxmA7wHgN/Pk5WyT4boI j4ar5mqmNQiClblI08TlFz+ydFFTLm7W5b8qHMlRWYAA+7swu3hSXMqIoE8p XsXbr8z/Wfh/+Q2UccBdMWwX4ehNcXI5DakPWeLidaomLuciMf9w7bH1MQWF I/tzkfk4UpA4RIyM/ts/mvx3KJd/dsPAXSwZtksg9SHLc9ZQBNBkXbxOvTIf HxsaeJn1LuJz0fFCHBB9x/4u8NzzMD/tPPxmnn4h/0t//nfCIPH8b6GM/zB3 aPH9Kt4Yf91OXNxnOHTOf9bCoeSaGK6LqH8CM5CRPoMjSH3IEhfXqILSsi7S +RsRh72dYeyicroYm+c1S9HO6uJ//RN4sqnw21DG9KHaRQlo7CIe/LhUOZZK HOYku0jZxGVdpPM3IgoUoA8nT87aq4usZycGiUOEdFO3wbsjF/+5TIlxBtpH /XzwIRQORG5VTfgTnwHJicMpm7iMi2xdVNg1RWO6O0ytKT5rfy6yjt1ALpY9 x4uQ8XIo4m8C4D/LlKZqoC6+lrh4ZBhbpb1UomDkxOGUTVzGRbYuarxT3RpL WHh41oYuNlnnyDPms1UWhiFARph3OiBoHH8U9gwZbZzP32x2+lIG6uKX5/O/ GrVIuxUyEgUjukibHzHj4hmmLmp0MGNrig9s6KLZYKUjj4vkIHGIABmvhw3j 5jFOU8Vko3axSKOS3w9cjJw42SqVkXzXEzf6pt11PO3iAWP0THgwY2uKD+So LGsUfecGx/MMocYnZz97+XO8ABlvnoFlugBH5Zht1C4WaVTyb87nPxE7US4j +a7Px7EhanefCknrx/zch11kG/AJD+SoLMeKvrNsG4Axbz+Vb16yfLZJxDPj zYODqOoZbdQu5uEOAglJu1guI/muJy5zon2GO5MahD3DPhx6gauLyneZ3SgF xxR4qxEANmcaAL5LdZTf7yZB0KR/DJON2sU8Ql1EMhLG7X7mdxLv+gPC4GpN Yv+EdAIp5oDITXgwRxeV7zLPgIm23ZiZcPuNoJ/K+dDIealKgsQhomVksVG7 mEesi1DGreKHcPAM+DOEY48JDlEHa6cSSJGcrgZmvDnm6KJyXuagYzqCQTfA gT9NeB8aeS9VReS+cBnpbdQuFhHqon/rLKGXWvYMSHBxh7Y0qQRSe8wNHOwd X+boonJW1tLE4402flIM2scuYsNjyoLEIVDGH2HYupgCShu1i0XEughX6hRa xrKFFwQXqWO8k4Efiuw4eW6ugcs7PKsLOCtrNQ6aRtuLBm0WVqcuwiDx0tmm lxj3Eafh7Veeq7dRu1hEsIto/CabtvpmWQtUdJH6cTE18HOVvYGD+hbS0tEg 6DKvuFL+8z9OnCdkEo94qwUZw404Km3ULhYR7GIgIxzASX8MXy6bMiyKR5+1 5oB6r3ES+/C+7s9Fn2tag99FmEm8NECxFRnrbdQuFhHtou8fBs8n69cSG0uf AYsuFtK7lZK4uMfxH0DZITgW3fV6mRsMsx2WLGVEtCNjnY3axSLiXfRv7QYy JuPopc+ARRfpg9kSF1kD4BA398Aex2J0AZd54XkLviObDHmT9ruJaUnGahu1 i0VacNH3bwRPKOtX8Cfx3dJnwMIvjumD2WIXWdNHNaJJZU1Q+M0YGjXmPTn3 2St7qa3JGNlI2k5Vu1ikFRf9kyuBjEFf1ah6Biy4yDBTGP/pfpcZHhpU1hgd 6uLZjU7nFxGVvdT2ZAxtzG5u/ODeA+0iiXZc9P1rQbco4AQ+z5X0Bgsu0gaG +6lAgTXWtflN4K+sCQCjlb8E5hQu13A4T97gUl2szNXXnowEG+/Nn7/3QLtY pLGLpT3Ea+ehjLt/+h1/qvTUORdpA8MhYUDqzbUuMwLyV9YIxcF5ODR13O38 IgL2Ustm/P1WZSzY+AuvzufPaxeLNHaxfGrgxMD8gfOXLpEeVgqDOiwJh3ew twz7aAiAv7LwzsU2Xj7Ft76/YbjijfK4VEibMhZs/MaduXaxSIsuBhxe/PPY x+BT2TjMBeTkE97QriNGhEFwrNmGm9HARfSICKboB8/kPHmjm6wkeXFEqzIW bHzzjnaxQLsu+v4/fcc7/1bYPq6vn4McoiEdP79Zd0VQAIl9LCFLt7Y5pMqy AM0cBXJxFubYsLkGUpu6WBWXCmlXRv/Bl18ojOK0wnBdnK/FSfrCFzK/RbIc Hh5eCb4PlTTQt4TkeTssXmEXmbMNN4NUWQDQrEe0rUDDKV5VPOPbU7ypi3W9 1LZl9P3XsY0tb248YBcb8G3ZUzMl/8YuMu7Z1ggQkX+ZxkUPmGPPsVCiYnPE tZq4sYt1vdT2ZcQ2trzVuHaRh1+S7ZMyrQnGaR4L+xO3SCMXVzZIw3t+nuMS Tur2PYEyvu+lZiepoX0btYs8fEe2UWNyEac/5lptwUkjF/0VXEzcs4tw35Pq 3fne+pGNjUfblbF1G4fqYu3KivJo79vzj/2KBi6iB9Hjjjf/439ezNLP86Jf v++J7z/Zvowt2zhYF+vm98obrsBF450NXITpVa92vMWRKBd5T974JqvIRBXR hYzYxs+3897axdK3L2u4oIvvSh9bHkROBM4snul46z9+F70GSYqTkze/ya7U 7yHdiYzQxvvtvLN2sfTXZdP3t+f/wTD+beqF62yNXPDWf7Pr/an5XWyQozh1 cgE3WX0vtSMZ/W+29L7aRTIV0d635//FMD6Y/VumHFJot3jmtIqN4HQxM4QK TGfCe3IBNxlFL7UrGVtCu0imIizm9vx/fafxR+n+lsiemJuTBSEugj7WTCVc qdtD2ldcRlVd5B5gj6hxsSLaO3Dxl2UWuJ5hnJ+4qoyLnuclmxN7rgWsuiNK Ti7kv1u691QKlWXULhKpGo4JXPz29EACKXVxNVd7d9EeL3meF0d9zS8ibpXt kJpGYRm1i0SI29eE3J7fBu9KNYzs6b+7J1dZS5gR3GR3ccyTk7HxpYq5RNFL VVhG7SKRquEY6OI7Ug0jw6L+3ihU1hSGtjHPL3o8z4viXKTqpaoro6outjx2 UzUcE7i4DX5/EiBZmrpRIgiVNXOo1kzhvw2eFqe8kQECXSzfITWNqjJqF4lU rbxALv4uYz36hO4ytJSXJpW1GIeDqA7ntL/AoaryHVLTKCrjkF0sn6CvHI4J XAy6pckqni5zK/LSoLKmZjKl0ef8IoZixt9XVcbBulgZuFYpKnbxrHE2/lvp h24aVNbSBPZk6YPZauJwRrCKdPGoZo1/CJTxZ0WdsysG62JlQHdlJA12cTca Se02cQ0n/JXl4gTFaEW/x5esWOh06rWaNf4hP7mxsfGMsJN2w5BdLO9ablZF 0mAXj6InF/qtNHqEv7IsPI2Bs2s4vc71Y6r2nkrxjHoyDtfFiuGZ6mQ02EU/ ahg3O1yhzw1/ZYXzi9jFXnIy5oBr/Muz+ieoJ+NwXcwnVkxR+bgYuRg1jF0v ueDiFLlYk9U/QTkZtYsEquc7QhdhZ+mQMTdqbzToo+K0/WHe8F7yo+a5SBN+ 46sn43BdrJiir3URjdccoh2slRi6ETR2szRHnCcXepOdUIXf+MrJOFwX9xu4 iDuxQcO4q0TUTcM5DctbIBdnNt8Eo/BlKXThNz6W8SeFnrpNtIsEal3EsQBo 1xWm3Ki90aCyFniuP3DR4dtmSryLNAk3MFDGJ8Weuz20iwTqXHwuXN54zTB+ 77d1uV0UN00qa+Wa2MWRs+I9ueib7FxN8uKYlx5VR0btIoFqF19DCf5Ra7hr GO/qNqEbJw0razHzlsG//CcXfZNRht/4SsmoXSRQPR4TuPjN7fDg4PP5nd1m ruGj18vcRhqDG2jgjAZ1ZJTSxUWUy8ECq8JrES26uFf51vfn8/uRi0eG8evo Pp/75dS5SBt+44cytrrZhiCkdHEZFQokLi7zBW3RxfyeblkCF78cuej/dsNY V0DG0+ciHDijCb/xsYzt7nwjBrlddN3iaxEtulgzNjqfvxa5eAy+QwkZT5+L cHq3PvsN5qXWt6ESgtwuVr3Woos1yaTm81eigPADAP4G9ZNLj5xCF6nDb/wu 9oQTgQIuTtD8FhxXz0R9tOdi3YrEz4WBN/hNbu4qIONpdBFmv7lG+adKyKiA i1Ngua47AsDNRH2052LdFlS357dvhk0njLo52TLWKZ9ceuNUukgdfuOrIaMC LvooSVKHfdTgN5UbzwQuRo+U6MvJWekfGU+li/ThN34nu6U2RQUXFzD2Kvsa Tr/S6CTlk4h1Ofmhi3hf4bB5DJ5ctnal7qaeThcps99gutgttRkquOiPwVS8 i+XBNXU5+aGLePAm6s3ubkn+zHhKXaQPv4HInpFKCRdXptWKiyXRa3WJ3aCL OCNOnF/jKJDxHO2zSw80qqzFbOJ53mTGF43apou02W9CJJdRCRf9CfCEPy+W JoKrXR0MXcRJ/s/E+TXgmrr1S1Sr6vqAu7KWngNirHFve4SXcZ42SBwht4xq uOjb1kK0i6WziFV7aSCgi2je426qBT26YQRclHQMh7OylmOQw+KwsU0XabPf hEidq1E6F5eWtyq6OAPjFlwkd0XrhlGRi8jkq5lu7q0rhrRjOHyVNTEBsL1p qN9i5o2C93GrjyGfvL2b7AZl9puQJyVe6i+di1MTmKNioUaFgjYuedkQTe1K /djFnZy1R+e3YONoNCtXG3BVlgdML5eceDWxAPMqxlZdhIPYlEHiiJ+WV0bp XAxuAYtQqKUp3MWy5FO1+2NELh4XN0w9OncW9VRlaxx5KmsCHEKa8JULWJPe tOsiDBJneU6HS/3/3f4ZADZlW3gqoYvBXWAVc+J6otdMlbpYm2QxcvEqKVbu EDaM62fPXZFqHIenslYlG7xNWdcUt+siS5A44pmNP/Zb8MOvZMk0pXSRirZc vFm7zXDk4jb5wfLGeQOzdU2a/uopnV/EUG2RmuKZ3wbAr0cyypVNU7uYpzrB BgS5uFPxwXpy49y50Edj9xDSd581V1mTeFyUqo1bov0XeVNstO4i3RapCcEV /pWwTO+uia/qGu1invpthpGL+/BqVqTXOLp0aX09EtLYuhh8eBuXLl2iXVgg mFxlzQCwMRQbR82iGUabf8u3dm8yliBxH0VoREiV2la7mKc+4em8CbvNCs1J vrIsQD1PmLShgHubqY2NDfTtRvjNRvqF/C+rf5v/Jfrh+w3jPfWH+uHXbdws QvYpz5o5PbEobIeS/zvaxRz1CU8bufgnux/TiVVKXvKoU50GTagzga3nchq0 j1O+07ft4sZ7wiBxSheBdlEoLblYP3TTzMUfZpkMEwPBRd8GJaOkeUapXOET 5umM8PStu/iHvwsvW6N08VdrF4XSkov1QzcNeC1w8Wxr714GycWlRRlAk9lC YyTF3jYkrjAEie8l7WLNyEC3DPp5kbRxYusuMizyEUexshYWXSOXaT+l2PON DEOQ+F0Afi1W8bulSpw6YBfJGwq372L3nVRiZS1tQDOK6qSNHXNtqNGJiycM Sxlhw/i93xv88wfJWYw/sbGR6VB2xIBdJCfZqJ/SaEDg4t82uu+kkitr5QCr PrR0kpqCXEiyzxQRliBxPKux9lMlKcU/q11kQ4SLBOvIraUgAhf/BctKdGEQ K2tl00xS2GYk48K0eU/exU22yxAkfnBhe3vvbml+//dvfFZgwWgZsIvkdYrk p0hBBC7+b7hpY+eQK2sGKsdiAAHOk3dxkzFkEo8pkfEjGx8RUSJGBuwi+cmw uPZCIIGL97cMo/tkHCWVZVbGwCnmInOQOIQs489vvPfnxZSJhQG7SJxJPK6f XmwAdPFaHw1jrrKWjr3CL1eN3ngEOE/ezU3GkEk8hizjRzc+8HUhRWJhwC4S k2zU5QxvBnTRP2ust3eGEvKVhaf6C+vQWjt5RzcZY5A4gizjB3qQcdguFpNs 1OUMbwZy8RrHDdOUfGUtTDByHUAfldrw5B3dZLc4eqlkGb/eg4xDdpEUeVqb 7KYRyMWjkk7qE4ZhPIK//XDw7cNvCDxxobKWYwtYY4r5RTEn7+omu8SQSTxG FhlVdZF7ICEFKQiufpVGE5CLMNs1afTmZbi46lPwuzfgdx8XeeJeL3OHLsJe KnUm8ZgyGd/brYzaxfrXxIFdLBu9eTow8InMN8LgqizVxlEhR+tMSxlDyDK+ f+MDQspEi3Yx/747Dd+1Cuyif5bcML7xcODgs8lXgQzGRaYg8QSijJ/d2PiE iCLRoqqLIkpO2gq81SmNyMVrJZPSHw8c/HD8RSR8LjrRTIYDlJjTQJxjyiQe QZTxn2z8YxElomXILhLC3Wrz9zcjdPGw7KEGDt+87D8ieODG53UxNo9vfUbq 5B3eZCxB4ilIMn56471CikTJkF0kBIfX5u9vRujiybmSh5pnYYsIm8WnBZ94 QC7CIHGePb9SMn79059GXz+tY8PpaMXF/cp8Uo0JXYQPNeTYmw8HTeJj8dSG OIbkIlzKyLMuLSXjBo4N/0S3gzfaxQytrtJIXCwbvcHDNqIHbnwBLvLu9xae vNObjCdIHJLI+JGND/loIPWjQgtWw8BdzHdIW12lkXLxWlnkJJzOEDyfAWns otkgQqdrF+HzOMt+NzGxjF//wMb7P/qR9yIju2PILhIeDuu2JG5I7CJsGImp Uj9jtPC0yFlZVryk3w2O5xpCjU7e8U3GEyQOSWT86Ic23vuhTmc0hu0iYdFU 3ZbEDUlcvLVOXt8PR1KFj6JyVpYTR45btg3AWMJ9iUs44QkSh5QtLu4E7WIa ioSMjUhchJGThAGGT8GYVMN4SvSJuSrLjULHp8BbjQBVepySk3d9k3EFiUP6 lHHgLl4vvNJqVvevJS4SBxjeeCSc0/iM4BNzVdYM4PQaM7TkOOincj409uAi 8343MT3KOGQXi61gq4mnAu7P51+Lvr9FWFLwdDTXL3r0hq+ygo7pCAbd4CTj E96Hxj5c5AsSh/Qn45BdLAa87bVcG2/P56/FP+wWJhlfxmOoT4tepcFbWXAD WghOAgDbR/njUSNucQWJQ3qTUbuYhhShKpS0izBYKyvjE0lsuODhG87KWo2D ptH2okGbhaWOizCegn0pI6IvGbWLaWq3B2/Kc3C7uIhbORlhBNxj8JunhM9r CLrMK66kjP24CIPE+Xqpfck4cBe38y+0vG307bSLeRkfifqmaFXxyyLPK+oy U0xrTBxgOpmcxj25yLeUEQFl/PG3xBannkG7mF/AeLflKQ3o4gvpHzMyPp3N sSF0+EZUu1i/55sDrPHYymwp15OLDXqp/kvv29h4vGsZtYspipMcovnifJ75 Od9NbQsRl3nm2fXv4gHYjV3Z6Wz/fbnYoJfqv/V49zJqF1Ncbn3T6NdyLqLh Pq5JaTaaVtZyMoJjqlZtzv+RheYgJ+mGsTcXG/RS+5Bx4C6uZX4m73YjkoKL cLVdBxkam1TWaupaUKeRV5VkPMsyvTtAby426aX2IOOgXcxPJ+bdFE/RxZNd Y50YJS4U7spawKl+AGyXLeRmkbjInydHAOcafNJ1LuOgXcy3g61PaRBchGsK 1nnWoTPBVVlxx3TCHBWe6qP26iJ3XCqkaxm1i5m3bHlKg+Sif3HLMM62vA8c 3/rFAIehYwpZOs4K7UAej9306iJ/XCqkYxmH7mI6o0b7UxpEF/2jQEZjq9Wn Rq7Kst36KYw8S9iOjs3M/uN9usi1xUZMtzKq6qKQD9vc5hltr9LwS1z0T26s G/zD7zQ0q6zlzPO8KV0DCSzPBnYmhrxXFxv1UruVcdAu5uRrf0qjxMWgabwS yHj+Ek+WFiqaVNbMAWGIOM0O4VZxe9VeXWzWS+1URu1iQvtTGqUu+v61LZR1 ymjnvA0qawISKLYUd4ppqvp1EfZSG3zGdSijqi4KKXnOxfanNCpcxGM4hnGx lbaRv7JmADgTuKB/OQ3ax/oHyHFxH7meXeTNRBXSnYzaxYR297VBVLnoHx3i pvGc+PlG/soapaLZJpkhGTITUOjJ9uwinDXiyZca0ZmM2sX0O7Y9pVHtou+f XDtnrCMfL94Q2l/lrywzrd+o+DCYZwbsESR78l5vMt58qRFdyahdjDluf0qj zsWAo4vn1sNHR+NSgJg2kr+yMmk1KPKHL8NHy1Seqr5dbNpLRTK+7yVhxSmj 72riR7iLwU9Xm75jHfUuBpwcXjp/NtTRWF8PhERe3mpwOxUqC+5LbNPsS+yk W7ixU/p31Sfv+SZr2Ev13/rxjY1HW5ex92riRriLV9uf0vDncyTjPKUk+fuj w+D7yEcDfj+n0biMfGXNTOCM7TDPWyUTkPzNovgsSHnynm+ypr1U33+yAxl7 ryZuhLu4D8Bx03esY96Idb5IuXhKInnJQl1PF1DkzLBjYRcmV4oNCVxEvdRm 79CBjP1XEy/CXdzpoCqaufiX+JYdF11c2hacBVyByj1rAAHe8/McJ5Jdrh1S 07QvowTVxIlwFzuY0mjo4g8bXI+M5SJlhljKjzsFLnLukJqmdRklqCZOhLu4 BnaavmGb3Icuco2qloq0rG4XPQK85+c5TiicO6SmaVtGGaqJD+EudjCl0QTk Im9uHHJljQDXuCjHySW4yTh3SE3TsoxSVBMXol0Mfrjc9A3bJHDx7xnrnAcT KmviWty71TCfXIKbrPlYatsySlFNXIh2kbAbo1QELv577rV4hMoCwHQpjvQa bIKanFyGm+yw0eopTKsyylFNPIh2MbewWDoCF/8fdyolQmUtPIsivNRvsAdq 6uRS3GTNVk9h2pRRkmriQLSLFySvicDF+7u83SxyZTmgpmXMjqHm0oGznFyO quXeeypFizLKUk3siHExiXrbBptN369VoIuHvA0jubJmwCK8mj0si7rjqBD+ vadSQBnbCRSXpZrYEVDy4/SW4EDuKQ3kIswxyNUw5ipr5aJVwQtQs+7C8zzg xPMZrlXnbunJJbnJrhjGVuM3eXLjGQFFISBNNTEjouRnkun9DhJPNQO5eMiZ 8j9fWRZaFexSzGlkmsKRsnP9Iecah98E6OfFPCJKvpOs5G9/L42GIBfhzcTT y8pX1gyAkWsDs35OI+PiWKU930gICL9pD3mqiRURJU9luLnc8vbgjcEucjaM hcpa0K6ZyqBw3E3IjYZLGdtEompiRLCLbW8P3hjsImfDyFNZE5M4tbi0KTJQ 5U8uT93uNg+/aQuZqokNwS62vj14U0IXb3A1jDyVtTKBWwxX9cxicqn6k8tz k8Hwmw42E+JBpmpiQ7CLax2s0mhE6KJ/lmfCmquyVsED5TiT+W3hWoDcWtac XKKbTET4TTtIVU0McC/gyZCKtZF9GDV28RzPsDxfZa1cWMt2OKsxQjmLHfYQ VrlcFBJ+0wpyVRM9YlxMYlAPlHHxIs8UI29lLcdmZq6fK/JGMhf9LeM7/9oZ AHZkCz+WrJqoEeNiMqmojotwgwjmgxtU1ixoEOFeqJbjTviWdcjm4q3f/a34 k2Wv/m+7RLJqYkBIyeNgG3VchA0j8+hNr5dZNhfv/g4Afg2SsfW8f0xIVk0M CCl5nFdDIRf9s+zz1drFFBfCDve729+zgQnJqomB4brIMV+tXUyRev6VKtRK smpiQLiLcnVYCiQuciQ10y4mHKRclOrzV65qYoG55HAYEH+3gmMRNpzH3olm +PdlD4FLu3jCvPanz8scnDvaGyTa1M5Iv5D/ZfVv878svlj5xn7eRfpDDf6z Fg4l/3eG6OI4+BaHRe9FE4yyryTOuMi+9ke7GH7jo5VyMZe1iyLgd3EKrwKO J7keJZzalD3sBrr4evzDeYMtPWPPLsp1k22GIv4qybKqSFZNDHC7uILT11Fy iTD07Vi6yaYCD+bz1+IfjtbZZNTPiymuwiFUAL6lgz3+mJCsmhjgdnEEHxaj F8PMGtelH7qBOce/mPxwzWAKcdYupokmNX7Rf+y7JBlkqyZ6eF2EPVQzXn8Q LpXak6y7EvCNL915cf78nS/9QvTCC/PbqV8HMjJsdaNdzLC/Bsv0i3+5XEHi 0lUTNZwuoh5qstQgHD+VbsXUgy/Eu2i8+gC/dHv+ufRfXGGRUbuY5fj6/tW7 sgWJy1dNtPC4aHkeXGyQWp0eptaQ7dHB/zlo4Rfuvfpi8OXn8Euv5DZg3GWQ UbtIYkuupYyyVlM9PC6GmKO4YcTxNtLN9H8FKoh6p68G391DrxX2NGaQUbtI 4pZcSxllraZ6GrgYEK39wS7uyTbT/9V7d+6ED4ovRg1jcX/xXerBVO0iEWIv 9eNPPGw88fQb3ZdG2mqqhXscdemB5JHx5hqczNiU7XExxZ156GDRRX93nbJh 1C6SIfRSf8x4+MNPP2Y80r2M8lZTHQ3ibqCMUQKlM2ANLmOU7HEx4cHz8/nz 6DuCi4dG0DLS9LK0i2SKvdSPGw+/7EMjP9x5YeStpjoauOhbIM6AvQ/WDi7I u8XUm3AQ5wvoW4KLsJdqbFGEpmoXSyj0Uh8znoZfPhOGpnWJxNVUQxMXneTg 402wDWTton7lDprVeBP9QHLRvxX0srbqlxZrF8vI73fz7LMvo6+G8WzXRZG5 mqpp4qKdOngH3ipSrWMLeXDvRTzB+BX8M9FF/2QruJvO1zWN2sUyyva70S4y 0MDFZUpL/3gNnJExFvXe89jEO2+GL5BdRHdT8NlePYajXSzlCnHvrpcNo/PB G6mrqRJ+Fxd2Zr7/6p5UK0pDXg2Dbt6MXylz0b91MbMch4R2sZxzpF0ZnzIe 67wgcldTFTwumk4ANBGvJJaYr0IRX7z3IPVSqYu+f+OSdpGbo2Iv9eWneuii DszFGEdyFdGs4qvZlypcDG6oc9DF3YslqVO1ixUUeqlBTT7SvYqDdNFxmdPQ dw5sFXMvVboYLRvf2rp07ajYRGoXq8j3UgMVddwNPUD6C9wMOGiDvnlw7969 b6DvalwMnhuvwOlGY53QXdUuVlHopX7mx4zHdNwNLafdxS9E04oVseEETq4Y KdDgKhJTu1hJcSz1CTzl3ynSV1MJp93FN9F0xr0vpdZM0bgIObxo5LnyDtK4 ziIOPmoXBS5VYe/wT+lxVAbULTkVX30+Wkt8JxxMnTejeIplRzWogIswf1Bm hvZZHQPHgLolp+PBV75wJxDx1a9GLzR0sVhf2sWEG1GWy0eMj8MvnzIe7rwM ClRTCeqWnBPtYpucD3upT+NRmyf0Og0G1C1518STOfErE/QjzPwz6uj8HZym GSdhL/WNx4xHnnrqEeNhPY5Kj7ol74FcZU2B5bruCACXZ29TjpMrcKmiXuob Tz9h6HX9bKhb8h7IV5YDFrqPmuM8845BglGjmkioW/IeyFfWAobJaxcznOTH UrtGjWoioW7Je6BQWWMw1S7muMG6Y5BgFKkmAuqWvAcKlbUyLe1inqCXerHH 06tSTUXULXkPFCtrAjztYg7YSy1Z6NIFqlRTEXVL3gOEyrKthXYxxyH77usC UaaaCqhb8h4gVNYMjLWLeS722UtVp5ryqFvyHiBV1qijGlQpjP/kbI+9VHWq KY+6Je8BUmUtTe1igT57qQpVUw51S94DxMryulkzpZSLffZSVaqmLJKWPLOj nDTotcS09NhLlbKa4kWuFkA5opZjC1jjXLooKUuuXSSfXMpLRaa/XqqU1RRP fAHk4sIEjjsC5jLzR1KWXLtIPrmUl6qEoJdavylCG0hZTbGLrgv/tdHtPQV2 5o+kLLl2kXxyKS9VCbCX2st2xVJWUzYgZOUhIwMlM6kUpSy5dpF8cikvVRl9 bVcsZTWRg7Nc4KZ/lLLk2kXyyaW8VKVc6mcsVcpqKri49NzJaprsRwORsuTa RfLJpbxU5Wz1spBRymrKu+jBfBBmejoslzOiLWxgpn4a4aGklecAczSJrJvA zRydiT/GHxXBq7OxCWw3HGlajII/XsZ/GL/uz0YW/Mnr5AJoFxVAymrKuTgF 5sxfuekwkY5cDESZxj+scHaYRfCxMA50dLCL4+BVzxuZtoXVDHSDCSwsYC7Q UcE3HvwMWQVeu54X/IvTWgTH2Z5rmrZ2UYORsppyLuJxVNgsxS915GJQkHH8 wwSACSqNBZu2mYlcXISt42oMIhfR10A9CzaiM3wQzGqBDoN6wyGoafhn424u gHZRAaSsptw4Ku4awuYxfq0jFwODknMGnc0VkggP52ILky5m7CK2d4kl9MLC z6LD/LED/86OHn5H2kUNRspqyroY/ZSbYOyk5EFbuAi/XWHLxvFTa5mL4diN jXq00e/H2djPZdRc+vp5URMiZTXlXcRtk5dN5tlJyQMBo4mUKX52tONea9RH naR+TLnooo+OSDU7OyETvFk4hqNd1IRIV01Ly1vlnhfDtskBk+yrXZR8BBJM fNpoziIauzGnqR+T32PJItWCRnUWkzZQu6gJka6apiYwc89QeLZgllvh003J g06q40HG4YNg3kUokzNZ1ruYQruoISBhNXlWrlAruEpjBCc20nRT8lU0FhNN bxRcRPONIJriKHPRjA/z4CeLdlFTQMpqmljZJnDl2oGN2WUaXZV8HD6tjsJm 2YmfWtMRNouZl3dxnHledOLHzBF8g1k8JqRd1ISoW00dlTyaw4gGcdzsOGrA KvNjahwV2heplgQNoRZypcdRNXnUraauSm4iCadRQzbLzi/Gsx7L2Nn8/GL0 Ix7imeAJR0fPL2pyqFtNXZUczwwm84NOJu4GBrmhTquHIgEycTf4ZRC9DQqK W4QPjjMdd6PJoW41dVVyPBVoxfODMLB07NnxYA3MOoCGWSdhsUxgeVE8KhzW 8TzYYK5G8DDXjJ4bJzAedazjUTUx6lZTZyWHLdkiib9B46ZWsk7DXwbiAXM0 i4rlTcc2sPFQE57DwH83gXOVo3iOdDa2gKPXaWhi1K2mzkruBp1QL5fgAxeA YqVirWraRU2IutXUWcnhthM2wTvtIv3JVb3JOkXdauqu5BZIwkczBdAu0p5c 1ZusU9Stpu5K7gKL0EUVlE1Du6gJUbeauiv5AhC10y7Sn1zVm6xT1K0mdUve A9pFBVC3mtQteQ9oFxVA3WpSt+Q9oF1UAHWrSd2S94B2UQHUrSZ1S94Dhcpa uRaw3BX5r8WfXF8qCtStJnVL3gP5ylrC+DsHp43s4uT6UlGgbjWpW/IeyFeW E+bqGZH/XPjJ9aWiQNVqAhp24tpb2ahFJO8hpC9Vf3RwOcTTd6UpCaEWF4S6 1ZeqN9q/Gi3Qd6UpSaEWTe2iVLR/MTSSsujq6vd9j6tCN1dDIxVTG6YpGKV2 7tFoNH0AUzC7dkdzGhqNppQZGI8ta6xV1Gh6ZtnNzKJGo6nDdPougUajgdhW /d9oNJr2Genxc41GClzgjAI6mOrXaDRVTPHk8qT+LzUajUajGTL/H8qOhWQ= "], {{0, 0}, {908, 367}}, ColorFunction->(Apply[RGBColor, Part[CompressedData[" 1:eJztmNeOHUUQhhfEA5BzEG9AztCvACZnCYlrkggivoLDOkdxgRBCyDknbJwN 9mZvjmdzcAZHoKvmq9FWcQR33Pi/qTPzzUyn6qrqc+8778149+qav3VVTc01 Nf+m44lft4t+SDeKapPns2Zm7Uy3ir4P/DrRz1X5baID6XrR6sDvER1Jt4g2 BD5ndlZ9ukO0JfCmRlG6W7Q98JtETVW5ttuSGIfnr4pak/ZjV+B3iTqTtrMn 8O4uUZo/L2tvlfnrTczTP4+/rxj/ocAfFPWnO0WHA39eVJ2fPpXVn3QcvxrX 9VyQrhXNTDeLvgtcv/tj8dwK43p/ib2Pn3nOd7mGc99bzxmf7z/tYeknXP3h J3tf+3nUuF6vDBau67YqrVmd1ZeeFZXv3yBaE/oBV39ZF+z08a23fnv/0vnf GCxc/WlTsHD2E+PQ/h0MXPdtXzFPDcZ13+4Idvr87SziytrEPvf8OVFvmlub 1Whc292V2F/ef+H6/YHiO3Vu/nfbvqudk7Xb+Ly5WXuChfPeS6LmsP8WzM/a l9if9XUitz77i35+W2X/7E9Ll2R1pEULs1qNL1yQtb+Yl4Ew//r8gaJf7Wnx oqw243p9MFjPNX4OFPPY6Nb/UGqoz+or5rNsX/t9OFjP167J6g/fh585nTWQ iOPT9+dvFneZp+n+d8TmhTgLX7E860hqbMjqTy+LWoyzX+uOilJPt8g497H+ +9yn/+ovzS4+1Nm+vU/UE7i38NmzsuoKv9lbtNcTOPHHzz/+WI3PENUn8p/3 Lzj9Jo/CycvewnXeG4L1fP26rEpqPSYyjj9463lzU1Yl7J8XRU02f7rePYHr +Pel90WRfyyqpLZWkXFtt8nyzv2iXuPEDeKSrkfkrOPJE1mRc9+vX0uzyOKE rx/grOMDoj7j7Adv4cdaRMHCtb3WYD0nfmn87ghc982gxXm45qM2yx++PoR7 6zn5xecP+Ib1WYNFvCn3N/GU/UGdBW9vE6W3Rd1pyeKsduOvi9pt3qgzPNe8 1J9OHM8q/e9NUWewnuu6DQX/ZjzqR4PBv5cvy+qyfr8gGgjcW881Dw6F/mt8 7g7Wc/rv32deifv4EVzrhx7LT+wXOPNBXNdxlvmb+aAuUv/bZnzVyqyeYD1/ TDRsdRKcup5xaDypGCdeaHxqDvkDzvzoPi6//4GoN1jPPxMNWx6Aa9zptXki Dnv+kag/xD/4w6JKiC/EO/ye5+DMF/GZ/QD/UNQXrOfM66mTWZGf+yNr2OoQ OHUb4/hENGic/Y5f+PMhnHFrvI3ve+u5ni9Hwv6jruW5T0VDxh8SDQTr+eZN WSNh/tetzRpInP80TpXfp67x1nOtmytFfVAJXOPsqOVpOO/Rj1dEw8bxR/5/ oJ733FvPPxeNWp6Bq98NWv4lT8IfEQ1a/tf6ZDjws2eyKmH98See8/5Lf7z1 /ML5rFGLA3Da4/v4EfxR0VCwnj8pGgvrT1zX/DdU7P/y+3p+Gbb63J+f4MRd 6izPNX7Xh/oFTt3pz6dwbz3fuiVrLG3amFVy4jbjfEI0Gvj5c1kjRZ1Vvk9c pR38HM7z7Fv83HNvPb94IWssPS4q55+4Rj+2bM4q29f5HLE60J9P4bo+Y0X9 XH4ff6IdPQ+OufPniK27xvP6wL31/EvRuM0znLil+/+o5Uk4z3vrudYP4xYH 4Ky3xtlfgn/yvLdwrQ9H7TusE5x9663nT4smivxXvs98k3f9+Yh9S13L/wGe E999/QH31nOtMyfMT+D0l/Mt/2fAvxCN2ThYB8+9hbNvud/ZkVW+z3xTN3S0 i4w/JRo3//TxBe6t512dWRPmp/A3ROPmpz6+8Dz5xZ+P4eQdf/6Ge+v55UtZ E2nb1qySM99vibrC+QbOuvr14Zp2vhJNGKc94os/H8K5r/Gs9F/Wk3aWLc0q v3/pYta4ra8/P8J1HTrC+ZF9Rf3t/9+BU/9qnPHnr4n0mmjU1hnOfFA/+vM9 nPrQ53/G663nes6aTNu3ZZWca+pD6nTP+f+LetJz2lE/mQzcW893bM+atH0C 55q85+tH/Jb6ytdv6q+TVt9wjoU/I5pMv5/NGrQ6Bc54yO8bN2SV/GvRpOVP n3+Zd/If+RLOuKmLfP6Be+u5+udU8f9iybkmv+CHnntbjet5eypw2v/zclb5 PtfEb58f4HxHVX6f9qrFd56vFt/oF/HBx7dvRFPmv94/4dz3/rlzR9ZU1fn7 b7aarvAr/P/lfwGEyUyh "], #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{1200, 400}, PlotRange->{{0, 908}, {0, 367}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417708191471808*^9, 3.417708225597138*^9}, 3.417708939697003*^9, 3.417729995738753*^9, 3.417734583295232*^9, 3.417831230545011*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzsvQd0lcUT8H0lITR77wXL395QRARpUqUpUhUUARERpSmiCILSpCPSW2ih 9957R5r0mpCEdFIgCQk47/722X24iblJQPQ733nfe84N3KfuzsxOn9lqjdt/ 3qxV4/YtmjR+tGLbxq0/b9Gk3aMVvm6rDvnd4PH4/eLx3PD8ox7+Lx6P/ZPp 05M/fzt8fY/m1//3k6ioKNm4caNER0d78upjeeWvv/6Sc+fOyc6dO2X//v1y 6dIlr0e1zeIpQUFBzESmT5/uPiU5OVn69+8vd9xxh3zzzTdy8eJF56b25qY+ ffrIjBkzuNAToI/l18dmzpypb+bDUDi2ZMkSHuBnbl25cqU+HBMT4/H3etys WbMkJSXFk8ccu3z5MtfIpk2b1LEBAwaoY/Pnz5fDhw/r8RzI1Vz8NYQefPBB qVChghw/flxf/425nms5Hhsb606DY5UqVeKYvpZxcKxx48aSmJhop9GqVSt9 +NChQ2YaN+nfVatWlbi4OBcCe/fulU8//VRq1Kgh3377rXz//ffSpk0b/doJ EybkOA1/gxKeWbJkSXn++edlw4YNDMvz783l5r/NJS0tTerXry/ly5eXP/74 Q2NZoQvik4EDB8pDDz0Eev7MYTp+ZjqpqakaHDfddJMMGzaMxzs3fftvTCf/ 36azYMECue2222T48OGSnp7uZ4iFJTVixAgZPXo0Q9yfw2zymNkAHPVbbrzx Rvnggw8kISHBuanDvzGbfH+bTbt27TRhHDx40HMsV2P214RZpkwZqVKlioSE hOjrv/tvhlu4cGF56aWXGII6GxERoe4DhObj2ZvNFB5//HE1hddee02B/amn npKAgABp2rSpbNu2Tc6fP/+fgp3fBQoUkKefflo9XiFA3ffqq69KWFiYPr0v m3l07NhR/Vq0aJG6E6750Ucf6Wd99tlnGh3wDj7/yvL++1RuuOEGgKqR4W8o hCG8+OKLki+fRlJOi8Ey3Llz58pdd90lX331FaP4L2fx008/yQsvvICMcGVL cHCwJhSQlBN3slNQhKTX1JNPPikHDhzIYQq3+JxC5cqV5eTJky4yFaeRFi1a 6HOTJk3it1mPBTRDzTwfROf9998vs2fP1gzfwoLj9957r0yZMiXXc2JMY8eO 1cfhftnP6X6fc7r55pv1gjty5Ig+DsuE59nr1Zi0BsKHRcnx2rVrI7P1MZ5X tmxZadCgAQvFsqPQ0FB9iPWjZEpOswowx4Aix9QSykkc3pktmlh/d999t1Z3 3nvvPc1XoODdu3drmVe6dGl9DrDffvvtsnDhQos5HrN582YpWrSoVKxYUUMX TQVxqdiVXuS51VaAEtoQa27t2rU5Tumxxx6TTz75xIU4Y+EYQ2WaqAq//PKL 1KpVS7p166bBDDWq9awxBSZQT1asWIHA8zNrUqmNcuzYMS3Z1cKR5557Trp0 6aIXg3pFbmfz559/yjvvvCM1a9aUs2fP+pxNWjbP69evn/qldFk1Z3RH9FIQ UqJECSDrCg7fUPLT7wYaaMMJ2bzrnnvuUb8QMXk1TX/55ZdaO1E854oO3IY/ eWX9+vXmba+//jrkoH5xLEADyVL7M888I82aNQM/3i/Wn1/M2/Pnz6/JTX09 +n/qGeBEaRH6Os5Vq1aNGfztGfrzXxgd/+hof/1Pfk15Fy5ckHnz5knz5s21 mPj66681pSvqsyhUYNQse+vWrZ625tiWLVvk2WefFX9/f0VYefPmVccgK/Px DNR/A/QrYLMomOinkIei2HbmMfzklLrMlSLcAsGDM87xL7+55nNzn9dj1Uv4 W8Dl6vbD2vN+Bhy7hTcACmgibNu2rV5PEPLixYuldevWmqMMGjRIq8HWxsoK Cph0xYoVk65du6rhr169Wh2D9VgoDDCAZvh79uyRTp06yYcffqi5F4Jn3Lhx yFT7uO+++07efvttiY+PN7LF4WYoIAwHzvL5559rUfzbb79Z7uFprq91uJUy YrRhojhMXqlXr56nII9zgYIo5RLQzULg38DAQElKSnJg6+mn/ymoX4zugMqB Mm3BC8FgNcHWFDfODjy8mPGiXA0189m3b5+eIwYYchNCgiOiq8PewGUbL3ig CXnDAxUGGkVXhmOiN0+cOFE/s3379gzPhQdTQFbfeeed0rlz57wQuqeQy6LA CtbFI488IiNHjpTt27drSwN9eOjQoVodaO4NFH+tFaCJsP4V9K0CAG55Sa9e vbKkF0vuMMwiRYrIsmXLPEPMI4EnE+W4QrQVwCwW3gSY1eOzAwlCBTULD4Cd G/8CHiibEdiFg/qFzO3QoYNaas79J06ckFdeeUWraywWPvwLWjBjlOTJDAew gAxDC/RSCkH4fffdx6CzgYO/XrpQHSafgvpv5vDp06f14CAvhRz71F27dknB ggVl1KhR2ZCGn/Tu3VuvLPUY99jRo0e1IqBWt4GBQxZQNG4IJWitVEJHQOVA ttnbkZh4XRQVZQYBzhCsph9++AFoWf0WjQMQKKi4aPcGgQOWvBq/TALEwXZg NYPMo2ErSLExY8aw7Kw1DHRRRNCH1BxaZwMKlva7776L5uoeQ4tF+isGZPhg Xs0xunfvLrfccoteKawe+zoW/M8//6zPKbq3h1kCKJ0//vgjl3yWESrh4eFa CCuOyJQsVAB1dlD5xowH9qRWqtaDli5dqjWEgebRa9asQSPQ41Qvto9m9aKk 4/vKDiQQFiQLg7HHoHIMbgUqzxeG77EelZKjNV9UPxRqy/sAF8xXISeveQTs H0UZfSQTLLiT5avYH6O7WljwUh4BPOB2kLWFxZw5c1zLwQsW1mDJDSzef/99 fZ09Bl7RvIFFS8MZgA9GyptvvqnpHKK13OHjjz+WcuXKeSwgUPJQsXEaZgIE mhMcs2XLlgzDUhLIxpziqxCdFSy+9aJFtD6YpLIxLBhwJoL/yZMn/3tgKKjf ztRhWYwMTsEHJotmCPPMtEIYKJJeXZIBGI4zF48j2hKeCQS4dbIiHJEjigEa ThegpRQvYhBeoLEyFmYGO/W2RyFp4C2uCuKvtWBoFRmrrrWXwsWMSZgtb0X1 Biy4ie0xiJOFqjQmTyt9LL/mUZgDgNauml9//VXzb3W9vRU3JRL/999/z8hX C+r5AmhMNcjcPgUE8CRYtIKDBc+mTZsQZho0XJ4JPGfOnNGqk9JUXCizwmGE ikm6CwqTBFJAxVLQtuOEMxcqVAgNw/OVeSOGGJcDdS9Q2VuGDBmiXTcKly6k duzYoSWp0jJc5YR5wZIPHjzISshjAAg+0Zny5MnjKm5KXdCGrlIf7BOVrqnV dYxZA0Cr1KItQpWlSpXS/AGrn0E9+uij2seLpLHQw3vPMbQxRGcG6DnY5PQX X3yhRSECGq2CRyvFzQIPdtCzZ0/N7FatWmVVGOgDWYWIUzqGQyL5NDGj2WDR jR8/XjPUzCoNCwFDF4SDLj6wC1QShO6RI0cyaHlqzJriFTict9+s384433jj DVcrYr2hHMMcLHD5l1GyOBS1ZACmgw70I3QLdGXEMu4WRbi8oZ1Z1Ep91mPG eIARXlF28mmVCzkKVlkauDGQYQiiQWa+ABaXB/BHJUWVQ6pga8JtWN0WfiwQ 3sUz33rrLc0wMsMPJtOjRw+t/iGokZ1oVfweMGCAfvfnZoqwAFYQRAs+0MpB ONeq+7zdKgwFwoTPM0SG7OfnpxceQzTAG2BGCokDekaDDOBfa8m191oGiFWw q1ZUO69b7eHMtw4yA7fBNSQUkh3jnkmaQNvXhsbtKEAjug607q5Xx2wEfcwN 9NWtW1f/izODt18xO503ovriIQadcHjkIuTnhi3yueYeS6dOnTra+0OQBm3G WFmS8ZOtuf6zmQjcAgsCxDIRkGolcjtzDTDDAoXNg3hmoejUSsbBgwdrQ/eK p9MZLV5RhCh4h/6wqrhGP9tBlaebAQIsFW8PZhImAwY0RiKAsz6SNuZa1i7A hPcg9NBlkJZ4chUftdwMUYDiDGuyjBBrjLUKV2bGsFp4KM4hu56dWXu6evEh KJko1vHjxy0fAk4sJHRSRaXa7PEzywWqNh9jtjokCVfgq970TdaHva9GUWcZ KnvZvhQujHkDl1N3WK4E5WCv2Q93s5rQBjDn+TA78AevQWxbCdjWe7aOssCa VTzS9a4jpuGbitY9Zp6Exf3ckBKXFTVD5AEsdr5KQhUzh5FrJp4On3rTHIYk 7NXKIrNXg2F79cKFC63cxaEJl8UDYQeHVEfxVfhwXYHQL/QKQ7f6E3NG48QG V8RZgMN5eK+6wsRy9JU2NsnSYlQ89zvvi+G89uK7zMUwEryr6pyndkaATps2 TaNM4ccd8/Lly+WBBx7gFlfTVXaoJmQgmycb+CLYLGiUPpQDfOGl9nD16tVz gC/sBeSjUdixwuBwXioh6clvVhG0xIKFJwIO7DMWKqq4GoiBrTMHJLudwx3m 9fAP5sp39OjRdzk0pX4ZN27G6/20AOFaFLsMFyPhMl/M0mZeDz/8sMGPvx6w faEiCos2BCaHFCfw3O0M2nkuZJl50GhtmQdtJ4n/ODNNMBEYhGKYliZ+Mo+C Ofbt21fbKAq+FtTogPgFSBmwZFG8eHGLKZcsYGDIfPVVZMFff/0oi1H1jGLm MBqpPaxUnDfNYRaMPawUPns1encWZAGre+KJJzT927ghIsHGJdT/nZVXQMs2 uAzeEbgP+g8qhVqxesjw4hzJA13GDkPJBINx5/q/Y8YPg1Ffq1RCT4aLUd9z Qx42LGfmbTHI3Dh06623WvJwnotQyzxo3If2GUqBypE8rI2EvZCJPFjLqIbo X17kgXnDHepNWZKHnfUjNz8pjW+/S+7w8/PEmmNqVu4IrPGKV5JXKHvXfR56 WKNGjbS9bXE6depUza1Q99EW4ErgFJcDeprjLnfuxxeN3FVfl1zhHvbYHfqv 9u270FLPuIvDdvxYdRmv99Pv4Vo1Pk+GiwmnZ77Y399fX6wmp/CmjuXJxcVc keHinIathnKX9/U40bheraerQTKnvZCMiAMJSrszSLlRK4TozfrNAep91R+U GweVkMpVvpZ1z1aU5Y8/J43vuleeefhhee7ZZ89ysXoDkZQsVjPMlHmsW7fO RTuXWLR7x5JZslhAipdZFQSlDmOE6SrMW8SjlVowpnmB2xKdfROiArHhxPoc ryiEba+z5nQ2kIN74kvjtLJzLeRw6KIuqcVpnNA3OiO6K5942ilQjHlT7u1d TZqU+FpWPVdFTr3xtkT90EWSlq+Q9OgY+evy5TDzBh/iUUFM65jKSHH5IKqG xyQyKOZmgYfKaobPeC3wMCzgKrBFl2v6af2NK5msJSd4sT2WwF97Ai2ZE0rY mnn66eWISaq+Cqr8dZZ3LqBq9RRkIV4QgpwWpESSFJ/UIc98VxhaIaWN3CEP jigreUa/Jc+2biTN3/xG1hV7T4Kfe1VC3i4nEa3bS+KSpXLp/HlPaPZAtXpZ nz593PfC5HGQKBnpchaGbsWpdyYXei6kq4DvU7Ak+GLGFn449DNTJQrOVcCP eYACZbi448N0wAJhJarHeYHwJrUibpBBy0aIZ2xxKfR7WXn9g6/l01Ld5Wjf oRL8VhkJfr6IhBQvLWENG0vSho1y+eJFT0h2oHSCBwhd7HfXc+in3R3wb/h8 gNcagvc3adLkip/IX3tu0C5gTFeU5KsAaDaMzwFUAa2LkaUAf8Ubj/BlQpg7 MBVyAbSi6bD4W7S8+Xr5T5JnXHG5t2dNKVWyk9R9p7+c2n1EYkeNlTPvVJHg F1+X4BeKSHizFnJBMYJL6qHY2Keyhlg7MxbMPrz/vXr10pewmnH/Mja8Xfjf HRrJrw09rEwMLa7DZEeJ45hiQwWvJ6ysVcwpVCfeQVQMLsNiIU0jKSnJC0y3 aTAFx4dK6TnKQFCgerlNM6nwfA/5ot4oObQ/RJKDQyR28O8S9kF9CS5SXIJf f0siO/4oFxRxpcfGwv88J7IDV36NKkLE+KHxVDAkyAUFTIkIax5gEuDIx7VL QBq/HE4zwmMKctcVUtaNwdDwSeK2gZLIjVbYK3AFQndoCF26fEnmHlslD0+p JveMrSj1m/aQii/2kLafjJcD+4K11Es9fkLOjR4n4R9+IsEvF5XgYm9LZIfv JXHxEklXHBzCOpY1pNqb4UDkWMJMD4sTolEIK2C4jo3CkBPBWiMvmlwr1ONC Vw2e28xTGTviGX0df0IW4Bp8BR53uuZlYmqSfLPhV8k/roQ8OKaafPXFCKn0 Yk/58sMxcvpEhL7m8sU0uaisrfipM+RMtfcd9vT2O3K2eUtJXLUa9nQ0a5D8 fs3zgUlhPmNMwOYx9X3Pp5A7H6B7Ou6MPD+rgWavbWZ0l2+aBerV8GGlQRJ5 Ns7NyFNUL5fUaj4XNF1CylXWEiz4paISWr+hnN+xQ/5KT/ccvt4Ts4kmyDmc Y7Ab3xO7ydsPoD9zDy6WAuNLyiNBNWXkstnStvE4TcRN3hsqxw6HKcDZsI1i t5GREjtkmIS+q8Tzq2+qbzGJaPuNXNi2XS7FJ+hlf+B6TdAuVHQxPHjkif19 Qjf/bUJpl9Kk7epfNN+qtqSNrN66Q9p9GigVX+ghrRuNlQN7gqEGfzOni6eD JW7oCAlv8LFiZWpOb5SUyB86a1UuLSpa/rp0ybP/es2p1d/Gn9ExYykpJilW 8d4mcuuEcjLkj0lqPZ+RDs0n6JXU+uNxcvRgqNGCCzBAxWWOy7kJkyW0TgOj N70jEWo1xQdNk/S4cyax+D+bgBOQXHFqo9wb+I7cOrG87I04JGFnYuS7zydq 6mr6/jCWjjULLysWl654WPysOXKmcnVnDq+XkNDyVSV+3nyl+13w7Pmv5uBQ eyE5n3pBvtsyWPwUK3t/Tgu5mH5Rs7D2TcZrYqr3zgAJOR2lWOVfbqbKJSXI Y0crPaJ8Fb30mUho9dqStGqNXEpwVsiu/2oi/mYih6KOSum5TeUGtSJ6bhul J3Lk4Bm9KuBjLeuPkoP7QrT3P7+ZyEWlsWoJX1tR1GvF9UTOfv6lJC1YLGnh ZxUvu+TZ8d9O5EYlcC/LjEOL5Ca1LO6YVFHWnnIy2eBT7ZsGaspqo4Qvk1EC rICZi5bBY8ZL+CfNJPiVN7S8iWjxlcRPmSZpEZEaKdv+q7nkNUhJTkuRNqt7 KOp6S95f0k5C48P1BaGskhYTHaHZYLQEn4z0FDQTUYJR0hRikhYt0dqpXiZK oQiv/aHEz5gll5KSPFv/q4kEmIkkpp6X5ydVVdT1lnTbOVpTF8uf5Q5StKSs OFBLykJmIpy/rAyapNWrJbRWPUdSKrU7pHQFSViwUAmTeM/m/2oi+cyL1p7e pnjVO/JCUC3ZdXZ/HjNLiMvKj6ZKKB49FIpQvNFMJZ2Ay8xZEvZ+XY0LveLV /xOmz1QLJVzbWhv+26nklQsXk+XHTYO0YK+xuI0kpZ732PnolW9YWOtG4+RP LQ8v32TmkxYdLfHTZkhEsy/c+YQ1/ETOjQuU1GPHYNWedbmYD64JvHzq63lJ /83onFnzT+cIDR2OOSGl5zfXsn7wtjEeWy12SrHpDkrUVHqpp3yt5nj0UJjS FMSVl2lhYZI4d76cbdHKoT2lzITXayixw0fKxdBQz9qsJ+ikAfppkxNHGoMr Yobo7Uy+5rnlN+PHspihFLN7J1eWWwLLytbgne7cwkKMGH3BFaPKsDVzU4rg JWVVJK1eK2GNPnXnFlq2kjJvR4Ncz+rs54ZLyBzOcm79nbkVLlxYnSAv2574 n3kAjgoir1yhr7sWQBQwk72olLnmKzppBL8652OJTIoygAiQUycjFSE7C7NB hYEScioSWXyrecBlNb+kNWs1XkNee0vD4kxFpU9Mmy7pyppBG1+RHSzy6vgg OSz2FOUzL5pbMLkwSnFrhoeHf2Rmr20+BQGmZCfu7TB/3Dwaow7HHp4hbE1c ZQHmeu+QwCPmep6LlyBSqeBYd2jDup5JDYVosh2iAvLXOcC2oHlk6LlweXpa LU1g/XeOQyK5sD3srR4oKeSoB5dvM7DFJZK4YpVEfNpczpQq7zAJZeXET54q qQcOyuXkZM+yrGHrk+k9nzVg65vREjIj25svbmfHd/d3AD9iZkDIzF7Pl6QS 9Ujtc1ePIwZN+NqODE/vw+ZVkLu9DVxUrFjR4CavdlfYe/iqYXmuhcALmXet PrlJ7lIIeGLaB7IqZKtXllyAL7XmdoMEJE/SkmUS1eEHl8BDq38gsf0GSvKe vdpyWXJ9kFDXUDdJXXjnCxQoYKgvI/AfNtdxjQmOGcjl17nvpEiQGEJOHP5B XmGg/6AzJHWnxymKtEzI30CeLF+egb8KHxu1q346oT3j9HKxAizw0y+lS9ct QzV3qb+4Hc4Lj62f1nrYF4610rK+0sNORZn4nGPop8fFyYWNm7XbS7PZl9+Q 0Mo1JKpLN0k5dtyz+PpAvraBKDFS3GOPPvqogagu53BD+OrRj3JpgIE5OUTE GPhab6SiHet8ttEiyP4Bc4xbLNDtMiGdjUeQP8RjSLkJ8J7CtdC89qmcC5Hy c5trm2TMH9MM2J1cKCRc+yYO86lffoDs/ePEnQY6WnFUQi557z6lzjfNA+jV W4KLviVRPX/FQeFZeH0A/4GBCkzCxPUMKeazebP6i2OJJCPzGs9D5j74D1C+ /fbbDTT93OvFVZ8zYuI+cwxXcMZ3+uuopX2nQmQGx2cWSBhkYE1ipze/Uvgw mlBebU7NPLJE7ptUSS+B3eH7jXni8J6OLSZrM+SDEv1ly/rD6tXpd5kVcFmR U9LadRJe9yMJKVnOsUTKVlQKlDIvT57SAmDe9UHEC2a0TJzZ2C+e00cMwCAL PJT169c3ANNVeZpb16xZ0w2iZELW/WY2HMbNhAuVdDhOE+XgEbjLx4wZY4g3 I77uMccYDjk3zoudv+Tp8PoDBw44AM8FsoiiZEbWLeZcQkqifLWut+RVKn3V +S0lLP6si6zIiHPSo8NsvWA+qTpUNq46CLLuttM7f0ESlaCIbNdBa0DYv2eq 1JA4Zd8jKJQl5plzfZEF9XvPBNfCI3YmSu3B20+A22Pi8HlIDPM4KWP2FT6Q ZhcJh5Ej1D/mMYuEhCMSrXiM4ng3ZoGzu80xBm65nZ0gzJQEtXHjxnlu/Qc4 u9WcOx57Wl5Vgj3f+Lflm80DJOniBbdlSmxMogzotkDjrPG7Q2XLhsOGngo6 8kVJ9wtbt0nMr30l+K3SjiNZSffoHr0l5dBh7MpZ1xdnxBUy4+xhS2FK7URw E0nFhQ5AgoKC8meNonvNYbJW0dsoDlFwsmMixxOXNRfdlAWK7jTH0KNJ6v74 449dFFEzhE5GRcTtuUTRqVOnfKDIkTfrTm7V/O+xydVk8fHVcvmvyxZL5+KS ZEBXB0u13uov2zYf8txrsYQsUoowVnFU955aCIGlMyXfkYgvv5bkffsxMmb8 QyxhkCkr4XkDFAJiJMJ7062RKfqKB8zEgD2pplSK0iPC5BwXyBpjDuXl1yBH SeMu0rQoxEdRA4TqibdkgS1HKcqnMYrGTHaJTYRBQ6Gu+s4cMOVTZbjVDLf3 puHiP66E1FrcVsISIwLMJGNiEhTjmyVVXumlFbU5QZsl7WL6fRZDapLJBw/p FIKQN0vpqC7OzKjO3ST16FEtxRQWp14jhpA4AIjrlc3wjIEhdEHuGhn4FLqQ ugJACFuePHnyQTN2MEB0DeTceuutOgVK8a5CWSPobnMXehwJ3bAdcvFJ/1Tj vt3cRXyeOwhbqifc5kXllHEQzSdAhB6tVlCGRLSrR0teiUiKkhoLW+nV03vH KPwWHosbGNywPkvk3dd6yQdv95c5U7eokabeb3CDy//8jp0S+W1HJZSqSfCL r0mwwlF0776a72lv+V9/TblG3GArw8q5XtnXFjfIHixBAvVIeDQtEmgMbh4w tAy8wA3KHyyPeD2JNW5MFe3JC0HEXNFH7jRzZy2AAs6xHjivNHib32eDj2BL Hba8iCcSawZLJK4R646Li7vnn2IJb9KSUxuVjVlLHlS63taQXcaLFiAXzqfI hOFrpFrR3lK/3CC1gragOjiAQHU4L+c3bZbo7r21fqedKOWrSHSXn+X8xk1a dZh8jSiyddpcv2jRIosiir/JQMWHRN00JfCYJhlQpFPOtJmI8wNtQkkoI0wc 1FBTxZNJXUKS3WnOkZdMPhRAJomAjENrXWDKcg+jUqO7xQsvvI5sCbLdyEc4 ceLEvdeKl9vMUJQ6IN02D5FC40vLs9PrSERilOvdTEm+KFPHbJCqr/eWD0qy ejZ7HjRLR/cfUPSdsnevRPfpp3MKWD5nylWWiFatJXHlKrmUnDLxGvGCqUmx FNdPmjTpaUMKiAbyR6iUAC9kSbDKvHDjud9ADKlNRi+sj0Ru0wfA4gdnll0D vIlldYc5R9IBJQlwTPAKfmxuLaX43EPBhuKwN5vVCn7ItAGl5DuSqI6YZEX+ QyQ5rDMiIVKenVlfG6vfrelJiDnAi1OkpFyUwGGrpcqrPbWi0LfbbAXEdI9x aTAMZbspYRHdb6DSEkp4rNkaVr+R4nXbtSsy8BqxxeRpSsb1/fr1s9hCLnCI Gi3yN2xhkDe27jNTBOE2ub9hw4Y6s1Bdb81EbqWqx64MEpluN+eM0eUyOjpq 3W1GBhHQ5Q2VTS3im83bbHIbt0BPTFi94r5rRZQlnHUntsitgWXlwSlVZc6R 5ZJ+Od2spnxqWCkyafRaLYfeLdJbhvVdolU7UPOwgViKIryon36W0Hdr6nwm 7dNs3EySli6TtLMROpAzNhskqakVUCruywUKyny1KFP3OpbMJUpr1A9jpdpR 2/TE9LBwfSlX2AzCi0eP62Npx90aGecBl0zxkrjWkeOLMg+Qy+Y8/5/Vo6ce y+/9+3ue0tcW0mLJVnriTgPMRhH/G3Hca8DKMkfhRmKiFSoBZdaGv86JR1CR 3qaus3wNHYWULpYwa5K2bfeYW8AcKV6GKLw5AkkeJO1BirSofMAXRdjcMN6D tYc2g1FC2QgSmcIsxVIa5opwAtRqTpe+W0doJabM/M/kcMxxUGUlZHr6JVk0 Z4fUf2eg1Hyzj4wcsEziz51/1MBfp16MHivhDT91Iv4vvi5nm7WQc2PHKx3z mCax0dmTzYv5CzouRPNNmDBZYn7oYrlEQuAkfUh9yQZWf/0k4uOm9nJFIs6x 0HJVHB9wxWrOMT/zgJgfu7oP8NN/80r8mPHu+2I6/2zOOdcv/n2oC6QnDIIo 3cFetDxCGfhuZ0BLOtS9Hjp06B4zLTgT6MGLAuVQy6GozRIPZgVYw0+sAGOJ BxOClyDbMe+R3T6I50YXQ+nazIREkdH47xXY7zXrhPAKOh8tQS05IWE49ttv v7kpD2gDZNdi/2ALU1lUvXp1PUjUMlzzH+VAU1bLSExJktpLv5X840vKDxsH SEpaqnmPgosiqFWL98qHFQdpghraZzHiwiGogjrIf1HxIuKTEa3aOFgq8qaE 11HL4ucekqzY6uX09JHZ0ZSfN015XskCrzYOBe/Hm44zBrBSdebn9WjWMVJ8 8+bN95hbiOIiVngjznhaclj7g7IjDFaDVKuBghGoAzsHRxluZOskyBKpeSnT 1ioEnTzI0EcPsK4fPBHWd2PdfX8vEPDXXguozzTUsvRKnwa68WBHKaM2tziF fe86u19enPqBFAwsLfMOLzNxygCMTlm5eI/ULTtAqQG9tAoQF5v4mMGpdeic X7/RiTmTCao0NvIdIjv/JCmHj2CsDr96nI4d3NUdaGGvgaKvAj4eodQmN6wB z7T1FVQZwp6swIbHwoApBFKItNZKJpxahySCgeXBk/iXHqb3ZY1TazKhLRDE 4BZ8E1S43n9VOPXT/IFBOgWUzuuwtnmeyR3OCaF3mQempqfKiN2T5c4J5eTZ Se+SguOxWbUs0oUzt2ubCJ2OiHvk2TgNr8J2pWLCbtkqYR82Mu6F1zR+IpVx BOsnAq0w/3vWWLVBZvw86Mf2lHeQOS06SkI+bCi7yhWRr4Y0tswY0FMjhoCF W8EjLYJZ0FQjG/eMHrCdsPXK0pGExgtwNB9Y9lb+sIRZRoCdVkv3Z4dlf+1J x3cES1GiQetX2RVMsLrRIo4ePepiFJaOmxB1fv/+/Tlh9G4zWmVBSYPlHXVS VZNlP0h8coKL0fS0S7Jt02H5tPpQqfxyT/m5/Qw5ExytAeQAtoBc2L5T1/Fo HRBsvvKGU9ezYpWTKaautb2gfKDTK38iEzrz6tKg8EafanQWHfS2JF9MNozY X9cI00KD9XH8+HHrgAQQJH3zKOrer6DTX5u4AIhwlIK/tWIzYdKqWGAS1m0j hpT+PZA1Jgta8lMEDsaIZfTp0+eRnDCJVMBdgvZmFVySruHhtOXOCY1WwuwK 2yvPBtWUQhPKSp8/AlmobtbCnp0ndBlClVd6Srd20yU6Mt7zpEEf3orkHbt0 4mLoB/WupMK2bC3nJk4mH8t5+T9HX+FBxWTZkTUuz2VpUcqGdw2TFnFlcYhy y1LkeVRXXfEUOayLsh4ko9JhLGp94NC2JaPmFt+UIpSccIjnll43vFzhIEcc YhuAQ9i5xaGJbV0VDnUK04GFWqt+cXo92Ra62+AwgCwdjccWdUZKJbUU2zcL RFo6ZkpB7Za9eOKkxE+dLqHv1XVknrLIwup+JLGjx8hFmhJdvmwbB101JgOu YLLUq1J4QDF5ZnodOZ96/jHzRLQabiGcpJQFmyBIWRuH8WgonFoUYgXZLlGK DHJAIbwbhFNeSIcSeLcPFNokKLBO+RxowWLGyM4RjyxzuKoSLdeERyvK2678 WeOw2aquci453oryPbtOyCfv/u5kd77zm5w8Hu552rzmkkJI/KzZxBldV0dI iTISN2myDgz3zxpxObg6vLD26ktSuO8bki+wlOw4s/tR8zjSovDpIneUdLOx KdurDjeFwpqVd+CB/C5e3rRpU6sDZYk1f93giCsxMSMiIh7MDmFOHzyrGi1d uvTRnHAFI0fXwVD2loBYKDzjwIEDuUNXXjkdHypFZzTQKBu6ZwoxfuOxDpCD +4OlRe1RGmdf1h8rh5ykrqftsktNlfi58zSIdUz/+SLa8Ij9fZikHjykY12K df16TdjLdwV7/3tB3u1dUcvo79f3xZnmZl4xaduMi8A7lO4Dj9YDhVjDp4F5 gU+DtCAfyLSmBaEx7ERS++gHzRLMAaM48JkoFKNWVA4YdVJzcBXjKHXTbpxS XrgHDECRUW6RSp7S9CPL5KGg6lJ4clXZG37AYydzJjhKvm02SSO1zceBcujP M55nDEa12aHAnrh4qUR+870up9UegqrvSWyfAXLBCf73vg4Y7T6gjVMpOKuh HI0+aTDqr3fQsCq/0iMtPLNEplMBjfRkMXzzzTfW7s8Sj1fCKARwFFIeyoRC oqRKubY5tTwbrCNp7Q4SOeIRiwWJCN6VaWzxSDoUDgqMFjWgnPB4vxlCfEqi dNygtN3xb8ubcxpLeHyEi8fTJyOkU8sgjccWdUbJ8aNhnuf0uQI61+z8ho1a FSVGZjP9+J28/0+dk93zmpCYPwMSp/2mrNc5zeVGpXf13zMJz9iDZniYFQQ0 CbfgPMEJnAMyMWoo+Gck6hIfyLQChWJ+EMmqISrHorQYpZEB/bNAncKC5QjY uDycp508efIxX8i0Dh6YOCIddyWZy4CD3/gCEB7oZblDpRMWOBUbIk/NqKPD Am3X/AInK+R1OvhUlLT/dIKTxlZ2MBi1CNWpAwpRF3bvlogO3zsajrI3KNKO 6vqL0nDCPT2uA0LnDvldNgbv0Cvz3YVfSUh8mGV0OPnpF8djlQZj1cVMuLRe OQZMSIGqeVQQWoNmi1B/3bAYhmwMAssQCOeBAN67e/dui0t8MejOGIPqvTng Mr+WFBiadNAhl5eXU24ArtT9Ofl+LVlvOLVNCgWWloemVJUFR1dqcWndisGn I9VKHK3x1+y9EbpwQj36BYPDVKVYUygYUryME7zGkzpkqFw8dcqKSlN7fbU4 LPA3HF68dFEaLv5G4zHw8AIdZ7dKI+An0QwWpeCcAyJxytLnDNcBzWNZx5kR Sd2/krz2STBOvCuY/0oNfcRrTl6eJMsxcRTjiMXmU1pYYV+IzCms85AZcO/N w/S0Kyz4Qo7G6K0xrmDoVKS0bjjekX2NAm2CtMUQntQLO5RF3+knCa1SwzEH S5eXmF595MKWrcRQ3c5s/xRDl/+6LHOOr5SbFDG9t6CVXEhLdjFEmbvHhC2V 7pEthpwFYrPTlUJo3aTAlTwqGtkpNcI+BFXT7qah8GeRQ7DWJicoCzzAABOD HpnFSiMyQ27OP8ZQ7IVzutAWqfbjxoGSoqx1a+2gnfxgpNrXDcfJscOhnpcM CLHWL2zfITE9f3WLPklPjP7uBzm/br2uZutyHdAzpqtehrqhQeWFLeVWhaLj saddqYwJTmdG3KXwOLxiOeCIRAGcIjAyxQotjpBhtieUlwmO18UmV3vhCLeA 7T0zdOhQ207DK8GLEMTj/xQ9sO5tYXvkpWl15bYJ78jyY+sMeowUOxEpHT+f 4iSPvjtUjh0Ne9kuIAWZlH37ryQZgKEySnVt015jjrj1j9cBQ798rtt96+YB X274Va/3Dae3u45GcgJ4LrBVwLQSJhNybLAB2sfDCQdi6YFPiyEiAjZeffjw YYshQtUoHxxWK8qxKJ1ERYMdt9sJSgQpEESFFGe8ZvRYk4dy9SG7J8gtiipf nlRNwuLDPTZUHnomWlrWdSTQh+XRIMJB2StmeBfV4yJ+7OJlZxeSs+2+lZTj J7Tqb3fPoOnW//73Pz0VFGM6pQAU2+z+6lBXMAPqun2mW6rqaXTc4ZRStFzS yY3oG7ucRwN3xbmyxZ6/3j+Hq+nJq/BuH0KMkfYGHiefyzuNEbWUw1999dVj WSDOBoPgfZQzcLx///5PXCviHjGIo2C35tJ2kkfZsU2XddTFIxZxwaci5KsP x2k/8ydVlQ62+gBxZAdxt2rEJO/b57iaq1hXczGJ6vaLnFq1Wpo3a6aHadMo bccyOLq7G8fVp4p4461ljZp2M7qtZ3bJKzPqa9QN2x2klQu7Xojf8ni6Innp dj5wZ+MOKBBKQbvPa5zIvkw2ICi17flmzpyZHe7goKQFoIIo2ysn3OlypVt1 39GMxYtP+0LqowYWeJ4fV7ogFeZD9gZRzOyWS8RGJ0jfLvPk3Vd7SZOaw0Cq p4g+d4tcTkmVlD8PSOyv/SSszkdy+JmXpO0jhaWAafKGQ4N/EbxMAsUY1wPL sM11QGfhgHzu3oJqJY7YM0UnnT80tYYciDziOmXRmnFMoZPjZ8HI8oHTW7yw hKlLwunixYstS2Y1obMz2PHjx1ucYvMRPoRDKv6aHU4JeNAQDOtLmdm5xKlz 3rsf2f/M3KzgtV+yvAub9Uily6T9sx1n9Ix6sjl0FxqbxWx0VIIM/HmBjtw2 qjxE1q3a73nNDBMlknz7vQqzpR562Cnl8ddLk9gLxpAypa4TDm2NL8Ue9Ra1 lQCFw8/X/iLR52NdpxbCEDPM7LtinSE+0EfiAsE40KfUE1vrRRjCoM4148nx stk8akqZcdezZ08Xd3ZfOCggOTk5V7jzOJ0XucVpSspfp1SQVeF9jBZqmdFr 6yzq3Xq77HjqBQkuUc7xa/vJmVIVAP2adfYmubBqdR592E/rK/ZZeonk1Sfy StRX7cT7k3Ym1KOfZSOpwcpkaNL9Dc3gP1/VDe+327wtIXAil9p3qL836pCF 9ye6/XfmmvJyvENX6fn9LKn0Ug95/43eMqdUyzxmHJcvJGe47exHjT15zZwi Pv3c+5SfuSVl954Mt8T83MNjHxfTqUuGc6mHDnvslBODZmQ4lzh9pntfeO0G Gc45uz445y6sXW+Pye6du+TVl192yz9ZvtgmEc2+cK+PHzE6w7MuLF3hsfgI rVA1a3xEt+uQER+ng73xoXhLpRoW5nJ+0RKLimRlyVlU+Ju/aSFuvz2JHznG jiuiSYsMr7gUG+exMP3ryn6i+hNer6EDNy8iU7rlvj8zQr7zz2Zm/hLz0y9X oHf5coC5JWnG7IxAnzzVvSW8XiPvU85bCsqFTVsy3BLXb5CeYsjb5eX3Bx7N JXfJm5m7eG0jkleORB+X/02sIvdOqCCzjy6DHbqBZRRGGBy2pronBxaDjo1b kDC0OpwdizFNqbWDT0kQy2JQSNHY2fjHshiCqcTIyMJSdJdbFoNwJU3YmaRz jLI+gkL8esmcseyk9i23y4Ynn5PgspUsO1EUSnxo/ZUe6Iq15NGH1clK1d1X G/LlhGInmck3NMyhdrujcHit+rLto6ryxtgKWg6N/3OO9hrwSZgUZJ9D9aT3 J/q7Hz3Oy/MrOhgsCfHnpXPrIN3aot7zXWTOq/XV4CvL5eQU26SRqnyWmRmx nk7k560yUprzttQ9+zK8LbZnH/O2vBnomU/q4SMeO8rE6bMynEucNce97+yH n2Q453ASzgUoqG50j6Ppo1koMWo7H5RUNtgxpRhHtGjlPi5hzPgMj7uwYpXH YiOs6vtZYyO6Q6eM2AgO8caGv4TVqG1hJOeXLLfMJGXrdhd0/uZv2pXmnZIw drwdV2SLrzK84lLcOY8Fa2ZmcrZhEwd0XiSmgP/nwQxXxfzc08zMX2K797oC QJiJc0vS7HkZbkmcOsO95WyjJt6nnLcU1PzR+3Nu0O96imfKvysDH3jk6pjJ x01kt2EmpOtYaI7aPU3rmyVmfiyn48/YyDieQxv8UZLdBlMtH0FjUxrozeYw Sj7xVWMmPGhQ4s1HrLeYaATVT6Rrbt68ubDXg3Hoc7nXJt02eZ38VSWqnvSe 6XVgJTYX0lvxtJlaRO4mH14kd0+uLA9MKC97wv90Sw9ZyT2+m6m1ziY1hsqG 1Xqv1FfNq8hSxBurVDKPkxAXIHmNIVj2zrvkcMuvJWn5SvDytZno1WmfeXWr mIiv22m/ztP58nuh1PHqNVjWQbOqgbsCJV1ZhTZ2jn5GvJX3qP9bvGLoow6Q neKFV9Y5wVxi80lJSdnhlaRPj8knjIqKsnhlTwXbfd7dlMNf+wOIFGLVK2ly PfBKUPBlZ/X83Ui0ObPxyQny3YZ+UmB8KSk1p4lEJcW4tVa6YLTbAm0kNq42 VDau+dNjMWp3hnQ2I+X5BRyDUBmJBZVG3+WlV+Tks69IyFtlJPKrtpIwdz7d VA0xKaVz8lTFF3pTSuKpcK0oP39eorp11yhHlWYfINt7AWm09PRGeTSophSe Ul2m7J9DCNDG88iPxrNP8UZqaqrFOsix3k2FdXsYzwylXCCoXbt2ti1CVlgn f5/LaKuklq3FOtyDqB+Xe23ahAuPRDnqw7Zv3/7UNWPdX2MdPYfyvri4uJd8 Id6u5pOxwfL49Fo6daGTIoCUtBSPLRLT6XWR8dLvp3lS+ZWeUrfMQFm7cp/1 1XGa0jP2CrY9RrEfmdynjRtLuFLp48YGatzrOEXx0hLe+DNJXLpMu1kLm+dE NPlcn089deqaaYBEj7ghw/Rzfrz3ATYW8thWAkmp56XX1uFyU2AZuW9SZQnc OwMmZj08pE5QlcXQAwMD7RL3pgH1f0sD5NiQn8phRT1Z0YANGxHihUFAYArZ luStr5ZdxCwBoBGivqGdKqzllgCo1EWxvUIAAdqPz1R4HKIHB77C1Au+COFJ c/fKo+u1Wfjw5Kqy+OgqreJYtp6YcEG6tp0mFV7oIbXf7g8H8HbaMlH8Y+xL nEf/vUmnPNh9kvikxydIzPARTidqsnDwu9dpIOe379Q1zd6tL3JBEDYjDu8P fht7yju38a+0dIlX9MejJj/yBGnWHlvjdjE9Tbqs66s7/N0/sbJMP7hACzaG YSnA1ocAydDQUHuYKDPlkrzu4MGDljDY+oF4JeVh+/bty0wYdIuzhAEB4+4g JKaozyGM/C5h2O5DrC8bVu7evfv/ckkUrHx8kIRBraIOJihxwVMBrZN1gKqC K0WB8HlfxPGUAWWfTcN0470qC7+UE3HBGYgj/tx56dImSHOIxpkdw06shkxS HkvqCe5B26iWc6nBITp6qRvwUsz+UlE5+2VrHS5LV1LB9l+6CqLIKk3yJbva 58z3JghbEZWaflF+Wt9fbptQTp6cUkPm68D5Je9EY+JoLGXQBGwtPSAC2Z2O Nyl2aOmBvXdIn4SHqDVo6YGsK5SJJk2auLlyFEXjR5o2bZpZjvnd7QjZOIwP SUdk7Zi35I4YHMaCrwwtRK0T28sWerA7GpBpRsI+JTOkjxF4J7VXUeZzOdHF ueR4qbXoa7lJqQ3dtgwhqO+WAicmnHd8y0Uc37LSBT0lDOIpM0g5eEhi+/TX KbBaPLxZSiLbdpDEBYt0Uz+rVP07iLcpVLSV7LF1mNwzsaJ8MP8r7RGzWEcl B/54EMlnxLVssY4csMGbxYsXW6zb4AIZcQkJCRbrVH2x2pWC70bdeILdUWj9 +vUW8RSDsDwxMkCTVVEIHqnfuUP8bdryIPyHOUHOJRVjFBSzPx0EQf40I+BD Ch/uT/QJaJPMCEURnmdzQv9ltSzWBm+Vp4Pel7smVpAVx9e7ZbTeDuiGlX6T dav2eUpa9F9Mw/SWOLYnsFkMSjuIaP6l1hAJk9simqtAP1nLttYuV+h3VJyo pGjpuL6vPDG5uvTcNATZYDPYeBFxImr9bGmRpQBuZeUaTcBSgGX4CEBFMDbf ixJhLAZOqZVl1TUqBu1hJWMcIsinRQ+YYD1yCdVecIjRo0c7AZ8cKcDZO5KK GJgQKjnxGeLHSB4o40pmriNG0SShFs4rPcg39q37mq64A3aO1Yv/ponlJDIx KkML99jYRO0gpovJe8X7Uu9PxYrLBLgGrwK9l2PHjHMyxp5/Ve++QBl50sZN bnncP9ERX8iaBGydG8NYfXKDFA6qIfmVwd994yAS520MCZnFwiBRRaHlVjMg tpc0mHcb/mCnU1SkmK2bLIoaSVoK1546dcqaopgSpK6TcUH8Gqlokc/SxVUI 0ZFOj/3JkiWzJSfk1zNchOdjpMLUYTwvv/yyziWjdEK9y9qIqO+oONni+2kz 5qjEGKm8uLXODWy1ooskpCSZ1Z5PG/4jBiyRqq/1lvdL9JVZUzYr9qK7Jnve NvhOi4mVmN+GSmj1951W+woX4Z82k/ObN7uNxG2H/H8B3wXNUKmNHvnHZLl9 Ynm5b2Ilabn0R9l65g/UP9epi16kzRilfimwZ4V060EGUhwDyUpIW7xDNtSd c+rkyZPWq4SWaKuVlGx+yowJSYOvmbVHgyQcQcYlnSPKm5nBsd7xFh06dMg3 Lp8xuNx4ervWc2gOPWrfDB0Uvt0sCAo/A4ev0nisW6a/zAnaqgaYVsouW/We i2dCJW7EKKdCHFQWLSERbb+V88vYLCrabXf1L6CxkKFw0Dh+z3T5bm1vKaSW 7WszPpTAP2fjuUBzs7o2BWa8yXR5yA6Ttr8EWvz58+dzwCR2lc1SU8LyfwZ4 hICJFNsZkpioMJMTEj9zzqsrc0BdgK5CmrTPCfy+Nusj2RW+DzeHxV5KcqpM Hr1Oar3dT2qX7i/TJ25Umt+l0hZ7bK3ARiUTpyhjvJnu8YmBHvFVW12enR4X ZwjhX8GezdI6fe6MdN40WB5VTPd2ZZe3W/2LrDix3mrEKM1s9Thp0iQjUrJC mRN5Zc2of4316BNfiFFy5UmLUyq7xReSD22XO2x9vmJaOeHrU/NUlH+YBaqH ogKfhtSzZt1Rn9tqVXfJO66EtFaUG5+S6PJQZ1PkFJk8aq0uoq9RrI9MGr2G 3kWeMhZ92LuhYZIwZ56E1qzlKs7sA5C4dLn2q1ga/9fQZ/ZvTj2vlL9t0n51 T50n+b+g92SQUgcik6JNf5grIMIVhndV6RxZodPKWtggWV3ov0uXLvWBUau0 MAgUHKQzqjj1iVZWkTBHH2oyC3gqA8oJpx8ZPKAOo+4TwuOjMwqV3KxSpYrb bMHsDK+f63PFPmcGcyz2lLw6tbZesXOOOTfZFnMKuTJ6yHKp9HIPqf7Gr85y Veox15TV1zjFg+dmzZGQcpXcgmx8JwnK2MD5aRLj8nvRkXGp6HH8C3TgkNhN 9ICQOQeXSF6F/wcnVJAik2to9UBX123s5VYy8RoSQBUms1zPlgDItcEm5avk WFYEoB5nCcA7YQflBvusdg5I/tCMnCRj+vkT5TU15doTiLYP/8aUZMRsaMi/ FInniGhau4/8c5bcoqTqy8omovre9k9Dqo7+bble2fDluVO3oiGVMzjWG6Yr Kzxu1BhlEX/o7NujcB3esLEkzF/gFIheumS7/7BtUczQEZKy/09NAsRHryeO Z82a5eDpRi1vdoTslnYb+smT02q5+K28rK3siz4qQyePkBvuyCd1GtS90gsl a/RSQsbaBqgKARa98GB61OJoUy+2jANdCUUI/XXXrl11colZmtrBRCgFgAWg F7HbNZo57MJ6JRkMERg6HPvErPUvYyM2W9VFAsaVlMbq3/MXL1zBrFrCk0bR iamf1pdmT9Z2zjsWs0binlMmTvinn+kdpsAuW4PFT5qiU17VNXkNZpMPHZLw Rk10dn9M3/5OMuV1xOzAgQPtXr9xyfFKEdwm+caXgrGNK65e/9LM+vLckKri 3/Y5+Xx4W/kjbJ8cijqm07Vsq0yCGtQ00X3G9hBmZ1skMT1vbQ4Ea5JjlOVb pJKWjGTHg6o069wh1U8HaOgZgOMtj9crsW/g+/YYyxrXGYZyjkglOITm/2BQ dQkYX1Km/TnfGCD0Gk2WKUqNQgmuVaKfTBm7DkSXz4DUYImfPlPCGjRy2PJr xbVCfC5wot5yRC1pP4NU/F2pShTFDRspZ6q+53Lx64VUpd061FhI5wUuOrNZ Zp1aLT13jJYac76Q/OPelhvGFpd7AivIizPqy2uzG8k3q7srqFVd8Q1OyeOr dATQmZsDSZocwIbbtWvnlg7AIKkiZYjz58+3teUIQtIv0Z+Sk5NtUMMWGCOb lT6dW1TDIFib/LJoxUzGg+J9DL0CXzdufZ+oto2AYWIDto7WjKvonI/lSNQx s34deZmstObxw1Yp+7WXVC/6q0L3Wu2rcPFtZCpli/FKTQ4uW8HxV7zyhvZg saOXEtN2mwPr2qCgKnrAII1v9f/rhOq7vd5Cauy6bevlnoYvS/5PnpKac1o6 Szmv0FbbY5j1M1OqS7mZH6lndVnDRrJHIo/JHVMq6+/MU6ttmg2hB0JWNBi3 SKd4w2Y8KH5qkY6iTHiZnE2v/Y8JfHKYta/G5xPplm+QNoV7k+ZbH3sTQj6d SauoTDNwPtRycSnr3Q4YRxmShjC/TyKwAaHUtItScdYnGiDN1/cgJdWsdyzw dBk1eJnjwCjZV2YpJp5iHBg625LqHkX+8bPn6H31QpTFq2tW3/tAEhctlvTI KDDuqXpNKA5wUcy3dvG3JO3UaYnt8auugQjgl7qPBBrbLCm/PpbPkSbqGKmG c38fKi/deZc0KFVa4o8cUivl6K71aixr1kx3n/1Zi6IB8li/YraJQdMvivJT /7LHXr/J6WLuzNoBNN3DkKpsnlzYnMlEAnpCmMXci5mlhLbH7jmACkcyhfq6 SjS5/xwDeZYeKCPn/nPnzmWkhwAt0PGLwRzQx4lt1K9f3x+q9DgNnCEFunz4 JAWb4HIo6rg8rgyWRyZXlQXHVmtHi2X91v8B26+j5PncoK0cq2xmzWawCdNn SMRnLZ0WSYoF0B2PUKPdTarKNVGBnzcVeF622Hjtfn0/mY4WGySLE5VQzMDF BqWjYIOsQztlavXRqmx9q8VGTp2p7HuywQYBKQqG0OVQo8h+UiqWP/4rdSet n7l77dq1OWODyOuIPUFyy/jS8urshhJ1PsZjmVzyhVSZMmad1q5ql+qvu5Im JlyoYsaJIpw4f6H2XwS/XsJs29NIYvsPUtg4LpeVTVDpemKj4bPiuUFzQhdK xIh45siRIw028uuSRzzuMCycA3xI6iE3Q/FGuwfKP0aEU3OHq5fVpFZofvMU 73oCnzUiFgF6i5LECPlgmVOQ2239QIOAK26J6RM2SK23+moO+euPcxQSkj0W C7orQ0yss0nXJ02u7B5ToarEDP5d0mJjDRe9WizkpduoHF++Qso/8aS8fMut ErJuvRrbxcNH1PUHFi6SOq8VlWfyFfDcro8FSMqu3RJW7yPZV+JVebHb6xpb SoZlhyxAyE7MLCnYCIYlJR8ouTNmzLDIIs8Bj7n6ujwM+5NjRFOy4WHGv6eO +FwMNmC+8sR6naoEHtac2KglkO0/uWzRLnn31d7aWzDol4WSlKiLsqtagl23 Qc7UqkuShcvM4yZOlnSniarnnatEge3ZxsSxxKBMRfh2vwkYMVZV06ZNXefx pcQkCW/ymewuU0ReUHLFU+dh7/4GEJMtEFUYeNzQGGKeQ1jfJAkiUdAoaQZV z3t0WakQPteGI3VMlNOpfskO8Pjmum0apJvyl539iZyOC3Fbxi5XgK9XdqAO Zo/op7uleqp5TTl+5mw5+0kzvb1gSKnycn7zlvLXB9g2gR0atQ3AFdfIDO89 ZV5X8H5TPP1fk+Mnj3tnldrWT4GBgRbeRII5BOhI3+NdJBNhXv0TeBOnxAOe LbxfNTCl2rDMnCZSILC0fL9xoFbHLLxXLNotH1cZovXx339dDKF7qps5pSlV K2HWHDk3bBQq2XWGM6XTKLE8Zvbs2ZnhfKjiO/LygFJ6dS7ds9LCGbsTDsJd Si163NwF/aEJIQWI53J63bp19a8BxPUMZGD1hIj4IkxQyPIZoQsqyQdDOPnM 3ShiHrQzdI88MqGCPK54zZITa3WNpOUzF1PTZMXCPfJRxcE6gN+nM/z+Qg0z PLLt7OOuE0+5y+swqbJATHGCzOA/Wa2mvNa3nHjGvikdV/Wy4MfPA0Bwyypu Y5MbbaKe/ULe1w57PzfrmpsLGJlNWJ7wOiELBWaf7N2CHafDoJ3jtRut7qJ2 EnMh1lA97YUvK06zW2q+2VfX2fbpPBfKz6HbJqkcGM32FGkPL2cPZTYTgngY dHR0tI1AWCifqv6+vN6uuIbyK7Mb6WxgG1AjjkIuCn6AuLi4J8xhKj+9QN3g H1A4fj/6c/JFCCgTUb1d/fI4XQoQEvgElyxZ4hPar5lnnU2KlEpznd1Uh++e qkuCbI/4pQt2yftv9VMCtacM67NU4uPOI5+uoRlmDtBGTnKpaZbhQDv/FWjX qCWvF39KPCPekDsnVpCJ++ewGG2ekCU6bBtbmGhSidFlMMrU1yfArceYjAA8 Y5Q2YXTZBopZcHGICeBfud3Z55ZtXZQ65AaRbcmk/VIlUNScS7+cLtOOLpP7 pryrqwR2he1zu1NA4qQEwdwRpklJydfSgjQHqNvRYTYqhS4z1HGyv/HQw+L5 6mlNHbT7UBLJQh31mbtRBxXb6JYTeBk395DRhbeEpB4sryzAy1afpIV4gxf5 Qe8vtlaz4M1qG643zLmElCQlMwfofP235zaRyMRol67p7g7zbqTkJ/pK/27z Yd45dAlFBaO/0VVAmNg2Fifs3WsTT28If/l+LfE8VFDuG1lW7lC0PeeEY2vb /CebQEVavTruE8w2XwstCNuf60mQgImp0RkIf2xGACcgEZ4vnfNxTnAnawC3 IXIgOygXM+dOxYXIo9Pe0xphp41OcvyVHSbStZZSt/QAzat/7aRF5KCsoXxt 4tBPJ2OaiiB3q05v+A78toOewRNfv6nj6CN3T9G5HDbBhyRf7ldQ8PzsC7jW 00ccBo0FH71aMQaodhtg9Gh4UbFixTx290e2IyLnBJT6VDgsza46tkHwSeJz WXzMyTC3vceWLdyl60swbAZ3X6gzztV5H/1Qcw1NQsOK2Xl3puURpDydPn06 K4CuCJzgFDE8dqNOh2+1pifZYB6bRgAZWc1ZEaJPmGYKSmFRslkAeVzgg5wu WAUuAv5PQh7VH6g99P0nlOlTuFny7LtlhI68l1v4hd42/ApA4bF/6Ebf2mDp v1xiohI81wpNRA2DBprr16+30ETR5xGE7hT/yg6adz55jxSd3kCeVKg/cS7E hSaWM4/AP6UoL7fQJOMCw5PtNXB7EbFnXWOzs9ZxQpLxjEqInoJzOUdoxiaf k3pL2mth0GFDPxKMPHZnJvrgf1ptqJZY3b+dJWfDYq+65etLZh2hPBEVI0vQ ghKTGFbGhNQqzA6U/3vhGflyXS9nf/gd411Q8iqGQAO81NTU3IHSyT0nIY3k Qu/ICqAkB9geA1O0K9mwYUPOoETH3XRml26SfOfE8rLw8Ap3Ez/45vaNR+Wz 90fqJkDfNJkoYWei+10jNEnWwk1DlwVby8cyxy1J9qwy4RwgF8wSmkVee01W nNokj099Xx6c/K6EJUTY0ALSjeU5fPhwzy+5hCbV3eQJ8ys7aEKw8E52YfUJ zTcNNAnx9N81Vm4a97bkDywlp2PPuNCk7TQ9cNlPS0Oz6UQ5Gx7b9xqhSQMV oDlixAgXmthWSCVYl2Ka2UETH/D51AtSY4XjRuy5YbCFJk/FM40/OLfQpJQG ZpgbaFLxwh6nPqFZ3EAz7kK81FjWXttfjRa3Z9l77P6Fhw4EK6Y5WEOya5vp Eh4aey3tgS00ybtnVdO0JzM0kU5KSjnQvDUDNFdOmOjQppL9iOQlR1fLbWoV 3TG5khyKPKp9aHjfPSbMcvTo0dxClJA5kXfFILOFKMUrGAvKcvEN0bcMRPeF H5QXptaWmyeUkwE7A/XGMLYZ5f496kEfOP2Zf2k/UyIj4jzXCk7L4cqVK3c1 4Ny1wCmIo3oGwUDNSuWFX+qI/5erf9YbPpLqxaOJYCtqyh04b9KqD2+GMRLt RvZ4gVPfwzEc/xTIsQlVDuB08jsXHlmhF9Dz0+vI+pBtV3pQOD6CP7adkC9M G8/vmk+WQ/uDr7bhsQUq3CpXQL0lA1AjlTgAqFyCw5bPnvA/5dkpNeX2SRVk 9IHZ8u13TidN0j+65xKiaOiUSFldCCmPhesNUZYVsWHMLYqbfUK0hCFCGGjn zUN0jWs943JxtyxVxtK+XSelUeXf3T7Fe3ef6vXfgTOkZFlJUYQEOOF46Nh8 EKJj90zXdPBs0Hty7ztP6EcrjpgjOB2dvZDWVjH2qflDGmKtoXZaUNJnjkg9 IXWf+ntJA8aziZFSZV4LzTl7bx2pfSkPGTDGRMdL4xpDdIXoF/VHyZEDenfE q234mx0YyUPA0ZYBjPl0ciQbSBNySt6+UzdfIm9l5syZhp0FkK0ln6/oqgnA 07+IetoNcM2coPixuZ1YHhwRu8hmjykI+iypLWlpS63kxSfWyONBNTQW15/e CkbcJqPRCdK+6QTd9qT1x+OAma8Oyd+awywP8mCo1VH/t5sgoA9j52KGBZhj CEV0YHTfQtcCb7MRuV5+cXFxLrxTUyWm/0AN76RFS9x+uUoAe2xi5vHYU1Ju vuN1y9P8SYmLj8uRZH02J3zbPJRKvZ+2DtX7VL01s5EciTrh7uV9+kSEdPpy ijbEW304Roud9PRLv2QPTXCJlseqUzqjhSaqI+YdvMVCE07P4kExugZo+mm3 PDpQ9erV3ZwTkrnjJ07WoDw3aYp8a1Imr4DSoaHvVijrYMSb4j+6uIzfP1OS 01JyklA+oVnKQFMpuvLe/Jbaxm28pqskJCeaxZxPc42Tx89Kh+aTpKJa0E3f Gy7LF+7WRunP2YOUeJONniQlJVmQduzYUW/34U2gOJK5rEePHtcGUigPpqmk 6xWQqqEnLVzidK7+7fcsQOp4Qtv/1EHytHpae7gfVXr/2H3Ttd6Sk9mUA1yd nKzDUcc16d8WWEZG75sGDi1oOc2eW92+narFTYMKg2TdSseB4qOzdg6gxbNg Nku/fqC1nUmUXuQmYlxYsVqDNapzVxlsApEKrA5U82u9R1c2Kd7aZm5nDYCX ptWWLcoOVLP26dnLCbBlDMFO3jtHblQALTarkeyNPOS1z2mApKakSa9OM/U+ qA0rD5Yt6w8BUR+NsH0ANL+ZO5lO2mdx550eLZHVyyn+4zLsQciOzf4KXA1g bcMROn3YrrzKpLY5Fil79uo0wrMtvpS1a9bo0/TgUXzXCLH8Wv7h0OAceuzP m37X7t8SMz6knOYfA5hc/harumrEfbbqJ+o7TE2NU+M/8Jf5ukKhUZXBsmnN QRTRn64BwAW1KKUekRpphAySC38ul5EriphV2Lsm+JIjaOtplZJg4Zt64KCE 1qyt4RsbE6MjHOCUzDMHvgXcXWRROXU+TMJZabayszwysaL8um2Ekj8XnNbq /wTIesPFiAPyxpzGcvP40jL6jykGyA5viDp7TgZ1X6CTbNidde60bWRA+Woa 7gPSdn84MqaZJlDh480XLLmT54tJqL4e39DOuDOFWuve++XiGcC2V2zIAfiN GQAOTybahOMLIPOx+4eh0KmBOztKB8imkB3yrGIacM5hOwK1SaG4Z5drBXtZ A3aiUVMPLNDtX2gY/kfovgxgj4tJkt96LdAsmbQ/CuhSUi56Ol8T2BkBXX7I baUQKSuwW7WJMWcHdlDHdZSuRUdH2+qKoKAgrdA3a9bMBO3v+hvMyQZAgaMg go/3NorEmmx9EL0vJuybLfXnfyW3KBv+jVkNZc3pzVomdc4B8g3NePT+7UoK oTPl0fEVRzLhvwC1PnXlcgZDaHctV3XWxsXTs+rpjeMfM+cmj1stVV7pJdWK 9tbJmGxE7qNHew6YgewoqYYcYUNZYYZ0GfLN1TdbzHA/9+L0Cg0Nte2EgATF ppwaNWrUPT4WBHFFLiHkBpBs7RHpBJs3b/Y3A8ZZ0XjRNzoCRSe6zWd26rp7 kjU65YAbHRLW9SlpWu4Q9GfyvFK9Pg8zVaep5iAozCmSS4idqFt8WtXvGKwQ HHt+el0tlHsp/piclmx6TjtakE7aLNlfqhf7VeZN3YaQ7nRVSLNb6xGSolSL XEmMH4OwHBSbK9Ee+I66z7vfk90lZtmyZb4QZHc3NAFgHbG1xWCnTp1yAmz5 JfpCnLRe00PuD6qmK+C+3zBQJh1cSL0MSPo+BxzZnAfWDgRFsJpgiJJhHieT 01+Pn+QsggTqzc/4Qkx586x1pzbL3YFlpfC092XhibW6zZ1FzPmkFJNNqxDz Rm/N6JRw/yFrxLQzVAgTo3SKJnlc4oUkj93sCLUJJgUZ5ah7vmzWGhc+99xz OnvS4sc2RufciRMnfOHHVmuT48OYrHwiBU2pTQ5+CugWJfEpCRJ0dKk0Xd3N 0csnVpB2636V5cfW6kKujjkgqa7BNUgiAQXjkMQU/qXNBwtq3rx5utefghb8 FmOHhFxie9iN6CRqhL4zcS3ysPd6bhupx1lpXnMJTYwwfDBAkhIV8sau18oB RSoDui5U2kzi99kjj5pKGoExBOwwHJGZkQeCyWRFkucaedRkkajJrC3yqLe1 e6onJCT4Qh7daLgE65th2zRo6nnUYstnkEeNPxxwzsnV8tHi9lJkWl15LKiG lFj4uZRZ8qX8vGecp0MukUe7IzpqkISDNY/xD0IvO8Wz3i2pbKoAI8O1AvMB iSAVAfeULyTa+h56EDRY+p0WZn23jHJbtl+6LOtX7dNaBnb1kJ6L1YJM7pg9 /hgN+EHk02TCttgDf7Z1AWsG33VOrNGiDn8gGhv2nUUd4gG1nJQB9b7coA7H GAEOohCmcL6AFxyR6fMOL5O6c1tKvnFOMVKx2Y1la/BOdpP3fJMD6uqYkYEu WC+tkJKTk20DHtvEipqQXbt25YAVpxfkilMb5MmpNfVQlhxbwzG79fWmtQel ztsDpPxz3WVAj6k6FgY8mCykTtqOmrCPHUasDCORh8wj4qpqgLY1DLUqGNUr V67MeWGhuFns2K3JgafNkibWBR06KCqULYpg28ZIQrKbXjWFSBiSMotbypMz ausmIPcGlpO3ptaTjxe2l5G7p8lypQAeOxestwDJI7tj2cc6KuWcO9aWucKd nxad4I9ftjEBFI1TnIoWn1iraCau3X7bR+gs4eeD3pPDUcfcPRDS0i7JykV7 pVbprnLPzU5zND8/f/s4IlgoD1x8tbsZZIcLeAO8gGeg4+MN8IULjFmCFXjd 0TrxAcKF8aXZ552IOSUj9k2XD1d3Vsp3I3lpWh1TjxsgT6spf7W+t1vI13Hr EDos+OlGZX7aaDd6vK0x+DtKbJIZSiAmobNlBX/9dBKHdR85QRhPI3MT64vo FUoh34MHD2rlELvApz5fycwJ/af2otbipxTXz9Z009uW242lz8UlSONGLSTP Df7id0MAOq+racNnqclXqrPnajeFyQ5nKMHW+DE7mLrZzplxRnREKWH2FQT1 jQVtSDi/5iU0wNgXcVC2h+6WPrsn6lShYjM/lMcmVnSw5ycPB1WXKktaS43l 36gZ8tdPum35Xdac2CTLT25Uxxqu76ZmuPj4Wrb91dXWCnKf5IRJQm7MBBtF e6cMJNKcJt0Wkx8ZALIIiQWQLKEAk4eeYOowlZ7AiX5vSgOzXQxgtRbcfMmI e9ecOxh5RJPh3RPLS+Cfs/ROt7YilJg0bMa57wY/o77aZqRYxIo7Xs+FCIU2 adJEP4POe96lMhdWr9MlSLqbWOUaElKxmvzxarE8svaJZ/HyPf2inFGH1CnP nfqvsugqvCtHyr0ju94uLltLFM0na98qoi7dXrKYHCxTVg6ULasQxrG88meZ MvrSo+XKy9qeHeRMfLgTLvKNNWeDGfgAFqPCoPYGqkuxU+waNoj70EwQy5D4 HFYhq0IpMA5BqnPYqBQsEewiSwKKfsYAyyY1PnxHcTVkpW+YJu3qf/hslh2y Y5M1iw/oC9RNlV7s6Q7ZdJ7nRF5p9/FE8f6EBsd6/NynqgfWesvJPuG7cPof Nudj0rAN9rBzPVbj0agMz+r4WZAzQvWY/p0XuceTElLsLSkXLma45dOqwz3O 0ArI57UybsvxwtdN5YYxb8nNv5WX9ad3m0b9zih7dpjnjvKnr2baUR7eH/a3 Uc4Yl7HB/KzAbWaUeaVBud8ynHNewbkA2bD8CmTtXgB+efK5ewGULKlXyRd1 xrqPGzNgTYbHrZi/32MxUrXIr1ljpEPTKRluCj4RnREjNYr2dee6dPYem9ex bf1xd67+5u+ZU7Huc8YOXGPH1eKDMRlecS7mvAse5K73p2HF3x2MeJFZXjmw +0yGq35uO9tF9S/t5rjHL1/+K8DcMmfSjgy3TBu92b2lUaWh3qfsW7asOZrh lkHdlrjwK/Lop5a/eK6BwTi9fjFxQJwSAfeaS20ohAq7l0yd3bCGr8nk7RM0 R7TpNjlVd9pkc5pWYnqZavfG+rDLBLCsuYvoCmn5NNGxkW0MAwIDeCtQVjFJ lWr1fz0fKPtKN3n4pw8kz9jiOsmHYMb/x3zgBo/f/+MDfP5/yAfYcI8HEChR y8/ygdTdeyWqZWu+SiPmb14Je7+u5g1T6r8mned9p92iV8cPnMbDDKNKlSq6 dRGiXeuEVzL5KDbELwEzsFohWSHvvfeedjTZ8gar896c/wF57M5SMrzPYo/B TtCoTeq/ISdiXJidPh6dRx/2k6mjN7vDMiTHibyycsH+DHBOjGcDJnXOktys Cdv4qb/HDp61y2v/rhB72LkeQyD2QoZnKSbkyWPGBYnaz8XUdHtLeiaSU2zG 4wytgCyZlXEPMV43eOZseWXGh7o4gmCbZQKbVx91R7l++SE7ypioxL+N8tDe sAyPPbwvzIwyr8ybkpFQHSbAuQAJOXkFsthORM6UyWOZAKwac2rpnL3u4/Zs P53hcSePRnksRqaPdXfQyoiR1YsybuAVH3chI0bgYnauJw5HWCYQFhLnztXf /E04d2Xntr3bT9txKdaR4RUpyRdd8ODV8v7Mn7rTwYgXmSl7MCIhw1UbVx52 Ub1x5RFvAAaYW47sD89wy8E9oe4t86fu8j7lvKWghJ6OzXDLjg3H9RQn/L5W 7r3lxasyNuhgsWDBApcH2D52nFMquzV0z82c5a73YqMrSHB8mLtI8YmxAHGn 2tdRcskxkoJtE3K0fzrZ0EYeL9Hy5cszr3fvXGjvojGyyLPt3mstN3rTTTow T+6dXFnunVRJdoXudVtmkivG9gBML1++fJY1KYkllcvVlxPHwq/Zf0LqK0HI Xr16XQ0kHx7+pkzaO9vxRWRlU9nuzfgucDrzLAzXMWPG4FdqlBF6bNLGGW/o 4bwk3LJt2zbf0KtqxkZvgE/N1kEvz2kkcRfOmeyTGzX24NK27SvTxeVDbFv/ 9rtZSv3vO+nUajJlOLaLWlTEOen0ZZC8+0pvNQ/++snAnxa7r659jRC3lbid OnVyIY7Hg2N4JRV0MkN8XsNy8sSosvLuzMa+IW7DcUwXk5VO8uRRYJ8qO7Wh N8SdHZLYzYSA3SXb3c7xRJDrQbPjqKgon3CvZkYYHHdG791z4/jS8suW3/EG GqotpDOu8TzjxsAIZsHiZFg0f7U0fW+YdrF3aRskMdEJXm37U6XPj/P0uWY1 RuSVL2qPUa+eOHT9P4S7vxv4wrfueqmdDUBw+ilS81Q2ILRw/6NVUyk6uY6m qiNRxxv6Av2N7uiTtVOTygAFYANyHeHISwzXBGUIwFA07Rzz1xFe1gZLXOHD J9CrG6CvOrFR7p9YUZ6a9oEsP71JB5st0HEIkngzZ84cXV4JD0IC7N5+QlrW G6WbvUPop09GeiwIls7bKe8X7yt7dh03CQNXD13r00bvUdRnH01XUJQ1RQsG uvlc6Ib98KN8uvBbp4xvbQ84oOMRywrEtn0/LBuCwtuv6PYjLxBntVOvz3ie hWX65UvSfdtwjeKK85tLeGKkafTuFOoCt2bvD9PaeKdWQeRd2qGcDYuVTyoP lc5tghS4Uq0z72ohZ0PmLLno6Gj7dFYih0l5UrSUGXgxP/0sy/ctlYJKbyK2 /UfYft/Asw4u2AKJrggqxRKsrkWWBX5dAthpaWkZYUqnRj+3hiBbmNYwzzuT EC41F7URf4XYn9YPfMqA87Iiw6OHQqV2mb46p7pTqykSdibG7uVA1GE5ZaZF esnUQN3N0eVWVwtTqJ5raQCuVoSFqe0FT1+s06dPZwXT5Pg4qTm3uRQY/7b0 3DYsZ5gi4IhpYzMqHcHClBgTdAqoFUc2MPWZCFXTAGFd8FbdqBly3Hx6p9ZX 7W4eoSFR0rDKYJ3D37n1FImLSXS3Qvml4zSpU3qAzJ22RVJTnfbE9a8ReFAJ Dk280WqMFnhWK2CiSjY7wMufAXh0uqUVLaN/d0kbiUiMdmMyCrtxKQkSkRyr v/GpiR7vTeDUb/dcXEo8EyjpC/T5zV+c/iRrErdhy2j85OyggSNGUUDDXMI8 OS1Fvt0ySALGl5Ii02rL8djTHkuzCNN9f5ySFnVHatbJNqheNEu6Rv9uc6Vx 9SGyYOZ2+rL4Arv3JigwZ3uKOv5XzS3IDzapIE9DrTgLeXs5gVS1bG2ju8yQ J97x8ORqugnwquAtpFYYFh+gi2cbLf/BDVO9M7sx19ss9tMJoVJybhP3dKuV P+EoywEDTm4eIIUbY3tjQJPoQeSwUQ7gf88AJDwhQqrM+0KnULVY/bPEXohz wQ8H3rX1uHxeZ6Qme1iG4sCFvLATqdS0gd0XyCfVhsjYIeyilF4vewxk1avC YgCuSy5PBgz46cZOLIn27du7PdUyg59Pj83DNPxab+ijI7MW/FD48uDN8sT0 Wvo8NRLLj6+19Rgzjix1Qf/GjI/kjLJR3vYF+4yb06vJqPNEke15n+z5ffM2 YmJPTKwk9ysrY6qzr5oLcMqt9u8+rbO04dE/fDlFgk9F2jwUnQIbGS+/fDdd Z7lMm7Dec/2hjdJALTu7C2QH7QPRR+VJRfB3qonsjDhgtOkCupyozboeEqAo ig3kai/voNNU+KQoQ6H87E89NgI48U93d1uPT3LPCPKr0DIsyIHb5H1znPa2 0xvI0dgTHrvDgc5lPhOtxaKjZUyW2OhEb5BD49WL9pEG5QfL8aNh7u5hWYE8 jyPZfbN3C3TqtHbu3GmBTscefF0UkGcH9AsKuN9tHqynMv/4GgP0/HqcByIO y0NBTmu852fUk11he/U9609usfButKyj7mvNTbkicXWKFBYq4Riadrd7nNpd O1x7zPY4zRYltQxcIZKmy3/UbKf5qm5IAXd3gqMHQ5XSN1xz/C5tprJXlrul xcI523SP+KXzdvnCQ44SlkAjBjHXKwXBmg+kMNrOenv27HGwUDBLLJBj+tve qVIgsJR03fTblf0yC8rYXUEuM/l6Uz+adUqlWY3178cmV5Vlp9bDj0rlEvg5 bUnsc+vaWl70vVuxnKKzG+oxTPtzPvnelvx1vaxSsr/AOHnBNU5s+QxaIb2+ z8UleeyxE0fDNGqG9FxyzSggcmsb73mhAD0X3wDB3MjIyOxQAE+HlRaf/Ync G/iObA3ZeatZN9EK5FacFpvVUPpvHiF0VqE7/RdruuvckNL/Nvw/MLewlebo fTMUl6wohRW33HFmtyH0KxaONceNfLXN4AH+rAlbpWNzpW3GJlgn7J6dx7SW PnHE2usNf5QHmsShxqlVYvv0ZoJ/HjM1co++3zRAbwtWQsEb74ODg3yyNXS3 3D+hvG7AQkcbcv0enlpDdoTudao9/iHsKcn1Cfva5halA0jLlV00IZRc8Jnu 0m9hD3CPHQ5TfL+faw6Fh8ZaIG9df0jqlBogowYvcZ3iqakXpUu7KUrTH4ix fm2wz5sB9tgp5DrZvm94SUjDVDq0cU3+DfqWOvadPSiPTK2p9Oa3ZfaBRTZ7 DAnbfl0fze8t1/9l4xCdOcsVuSV8SIDQ6hXg59Wd2oiZ0loK7Z+Rv+gLCXXM TfSxvEMR/83jy0i/7aN1HaENv5wJjpKP3/3NsamUHR8Xk+QWdF28mKa3fqEH Xdf2QTJj0gZp32y81FK/g8av86H35Ah9DMbhw4fr69lizhv6WODkjHTt2tUX 9G3QoOPaXnqXopcVWz0afcJ6LXn6sP0zMkB/8ZFVbgJLbqFP7IrRXYF+gM6p Qz6xQFHrWApKm/CZa1bX3L3q2Hq5T+loT02tpZu5uLumuQbWaWVgjXINrNCQ GBs/Bwe7dx6XSSPXSq+OcyVo3Ho5uP/0tZm2jo/BZgZa2Ht317JO9mnTpmUL fqdNSZ35reTmwDLSe/tIHUZ0tP18JBtJ8ZmN9Kq/Y8I7jm9pXjPyAnPNeqAE Cg3IIra7BNN4Ed8h1SBQEBocWeMUCymLy+fmVhYPpGv32Or4umos+kq38ba7 lmlLa9txaVHHaftDtbaSBJ9cB0CT0ugNaKIZdme2rVu3WkAnrlzlDWi75HeG 7pNHJlXWHYBWmqonR1oU0I0jftowwGnBMKOOdF4/QMvZmyaUk367JxAVyCXB +2tWQ0cLTFnF2+1OvJTNomvCjfCTYaKTBkIVIk5t6sSio6N9NmewXOL0uVCp suhrnWfdd8vIZw3YWa5/Knvrw0qDHCGgwK60n4//AdhtfIHyBgq9LNgZlU39 Dw4OtmBP3rvP2aCgUxd2ebRgJxzVd9d4Ddomy37QTNOCnUxINmLm3Feb+uod xSqYfRuKz24sB6KO5BLst+kEGVqAwdVJFZw3b57OI8f5xEgJudlCOK1J7t6t OSTniNCqmfiODtnqHb099Il1Wv1lkGuPb/RYDDjmV4xrfv2A+RWT2OgaMWB3 ouZ6Kja8MUCnD7tTh7rOYuBiWLjGQETL1pIWEZHX60mn485I5fkt9aB/3TjM yIl8kqT0iidnOjuWFZ5SQ1ad2KCvX3Rohcv1v9s0SCtI3JE7S8upCqDclyxI +iGDFfwehG6QCDQutgKItCZqVcCGMoZ9IqG+mQ8GV/ctQ7Rn9c0Z9amJdjfm OnLgjHxWyxpcQRIdGX/VkYhXzPW27NhA3+6XQwSQJnl0YrabgNCbJPil1+Vs sy/kYmhogF2USlOZfniR0pYdcum+eRg1So7T60ZdrDp89xTdTwmtsubS9l7u hRQpY1g/bVV3hO8tlQPs7ZawrF1KzOAuxAHJQoeSyHb22hKW7prYjrNmzfJN +A0MXMMSwqXC/M91L6V26/swC88V1nNZdm8zUSGj+58+EXG1YYzMYCcAlJKS YsGO75JC2FatWrlg/+v/tHce8FVV6aI/QxKIYBm99zozjk7h6sw8Z5S5Yruj YhdQUQQEGxZkEHUERVSUIqgXFAUHGyqjIL0YehcETOgBEmropEAqSUiDBJnv rf/a69s5J+TkJIHHvPf7vfP7nSj77L32Wt+31tcLzf/adpCMdp1oM6093o9W HLXlMy4Z19JQ8Ntk0OrPKAXUyK0lJXe3/GVmFwva2G9ukenb5wfUgDZmy3Rf 531w0au2EGikPa99Wdnz5OuTfaFFnEikg32x57Es493S5Jnq4K2hgOtdze5f T7xXZu5aZFP7LndnFg6bZHWtzyy833huguzYZvufOXzVHehQQ+q/4FY1nEnb 48JVmDbDvPfeez7cKyrk0DPPS1rLe+Vo8hat2UqOwrc75sslZr9SG+otA3ej uKjUh3l8sJFwGo+52cL3NkPpzXZX0O8tSJUbZnTxwT8xeXqtQc+WB/QESV3k wMT2J9YSdxi5neSD4RwdMmRIICL8GfDzDePtsWw9q7ukFWY4GuPlae0x+lbX 9p/aEMrnHv5SdmxNr5erROHPPiHnqwr8YWoEVjhRMhj+2YPesd2mylbEn+Um jQty7u6lcjHaqtnYg1eN9BUejAy4TdJKsuw3ryw/4PeoNs/llRX4v9GrNBLk PXnOS5VElCHIAscOPn/KuqPZmv/Xtt4EvZAyQBq7KqHYD7GHwxsMUY0Nh5PH 3DQphfzwvF7SwODk7VWeKPgnt7eKCkvl1e7fWNGn24MjJXVfNvioq2pVFR1t 2rThWUUHAqea2xYtWuSjw8Agb/gIrzLV8h8au/kiVE7aNtt62H8/7m7bRrtt BLB6az3btSors5saPoqOgYRIkQfyaCmThu0VrTsjI0PBTIAMAr0RMAOq/yMs wHrffvvtQEQYs7fj09bKH6e0t0aPhANrHYw9H03q/hzp32OSzdLv1mGkbE06 YOlOXS0ICmj2BTICmqCBrgKa3URqMCKBWUsYQKtlm452veKH0d5QRidPtfv3 /giAfsQBGrGcmD282XhfidqCu4N9REZCKmCeRPEaFUo7HpKHCVCxbmgxHsr+ QmR4Z4NqYNzZTRf55d11owzbv02aT33YlvRWGFPmc++uTOnXY6KVYZ7r9KVs WIN94oSfJVlXGGPNZq9wf0FBgcIYIzE57viwjThWI4wbWfpBMtMvJtwjvxxn aHvCCEnO2m6R3yYCrDs5WKN24rXEuYdrBoZDTAeTg0KT2cMO5r6KiopLHVzJ rAPW5hYf1ux/B4NqYf24g3Wq0ZaumP6ol1H3w1Bb69ffzwbWGWl50rvbGAvr 5x8eJcmJ++2S6hobpLAm8w5tuwqs2WFYgqmgbLZOGFif7SaGse/DdaOldVxX axa4Y2ZXWZO+wdbhu7c2sNYTzutIOTCoDnjQPMumUqHnIxVqQhKVEvB5Q4np 5VZbKD/hoLxsT4KFMIV1F+1eVlkIBKGgrFxeevorqxJ1bf+ZUuYO1QPYeZ7M DbWFsqEgCmU0by5RW8gQkzBQVuMKZX9aTq90VXee9aJsz9xpJ393rXZ0lA0r xNJMSVWt5KEckV3MlxAS/s24XjHKWMvXsVwQVkdgJ3GilIEikM5wzbDiyZMO 4ANXDPNiI+b3tFs8GOBZhwrkjb9NsCT6GcMK96QcYku3rwHgYbyrzd0jrICW EFw3PF7BTflOLnGczYJqBLenERaUFsqopEly3fQnbLDWz8x+mbFzsa3MSn2G VhHArioFFjYIMlyxT58+DVD4zWU0BqpEECpjiN7FDiHU2obHENv/xRdfWDqN qMI5jwhp9LEbzfk72yib76//h7UEXeEGtsR6d6b07+kVJOz24OfWCXLCEOt2 9Qc3p1KljCBwE37JJYxIBgBhwK2eI5w1Bw6nSeelA+RSo9hfbBSJjgtekZdX fSgfbJkocQeWefnyEcHttf+CFJx33nkBbQgA3UZYNcTZKTtevwt8Xng0zgkH 2KfcvJenrvEnlpS148ogmO7fkyWvPzfOkgyIMuZEGOADNcOUlCmNzawVTL3w b+gyvavbVA9QLTiWV3JYFu9PkEcXvCo/H9dKjSPXznzK1kXGrHVHBHiqcsHW 5eQT04oJNjEx0ZBXiLTXbZGFkNJPQi1UwUhDF7kJI4rQVZl+aRFAHGPjeHol DLeUot3M7laZVThzHA/nFkkvQ5pRIrt3+kJSnBLTtno4R2R+YYCM7ovMunr1 6nBA9soRNrZSRm7pYdlwaItc4qo3RI+5Sf5tQkv5+eR7ZcCyD4D2bbUCdJRt Gk1RHXq6azQ4gh6nb+PGjQGFKs5arFSE41tyF5YsdHGg3ZmzV26e+Vc7wS8S J1j93CtH1FCOFJTKa8+OldahuogGNZ4iVLUTlvan4GAa8SIMYC90gEU1X3lg vTyzeIAt1vjLca1sVAtuf9bwkNnVM1IWe7s6Rt7c+A8bn+F9y6zYdH0tgU7M MkD29pl3DXmeKoCcMwU6TJxkh7vuusvM22jpAa+IhA7bsGYceNa1SVtnWhPP BeNbSkKaLYwbvMNT92fLgJ6TbGsz1BXqaZeXV/gd5k4TLqg9EXB2ZDPTMLjw kslirdlvZ84embZtjvQxMmm/H4bJNdMfl6YT21BFwcNBrNww82l5acVQ+33t h+EydkucbMlJkbSCg7I3P7WBTNr3nXnJ1txd9hLWlR9PnGgWDkvBkXYwdCw+ 2NTWrFljrYXUGamSTIFRFoIajEkSZUmyoDi1YhKskXRhGKuZEH+jrIQTEZNP u9MEoSKcgbLNDy98RQ4WZrrTVKkRDXkjzkjpQ2x43qJZG22EpAL6NKERkHCJ 1DqD0jY6A4qCPfioVxP1+RflhNdnUo4lk7iZP3iowqZk3kL+KfnDRlSm7nzx lb1WNEWrVHtdcKkctDVrh8zdtYSqJ+a3NztfY5B045vX+RIpYc8Xjr3dikv3 zOsh98c9690WLZ1GPymrez8n6QMHStHCRRGwHmuhji0YVQuDGOIcxg3K6hhU heR0RFkBChpp9om/EOLlkbnNXglvLu7qVkgo5nWTO0qTsbfKBxvH4sr3EYra lZ9XJH8fPNty+EfvGiHfL0i2xVXq2lQ7AkIpxsMl6u2ZVfoIxVrv2mTzPdTh Ecns1Fky7mrjdVNtxD/Nq9JvvM276YqrA3ot9b+8Ptxp17UwC+VajGR0fET2 t+/oD7jmuqvMpp91e3MjiM27tbl/fclNzWW/+/8pz7Sx3RgJmrzcwRhrDjUj zNfXtxC0uEZ8pmITQbdZs2ZWYUa7V1M+4Y9GfwtNF8FMFmVBgAEJlHrXou1j 6OHIbYZwhsXqXx04l6eutQbRP064X3bk7db2niOGeGnWbW8YamNsESHUJXVa EOm1Kwl4TjxHu6OCseg3bZ7U4WrpN7uPLUKjQI2Ui6sZS1A2ygU6d6daKakL xuPEDZ5Knshf3cuw/rxiSDohF92WvmUVCm/1DW0zrI8Gz5X7rhkqD9zwvqxe kUIYcl2bjEcAJnlLlLrB8eMD05DrrM5d+BoRkb8x9lgA4Lj2V8ulI/9b1mdt rTVQm7gpaD41dl5zwEOh165du0CUttGpDfQa2ip/m7K2+TGAk7fMhJ8qAHOy Cg0A58m9zd+zPcS/m7MJRtH69AKQCFfERVrcvOnQSkP4YGB9ljjeBxYVeWjq aL7+scaBzjUau2t4Po4i18qI8xgKLMr7R9kVRARWNzcndMBRm6fafnxErq1L 3+gipunjcMRAyiuES/PXxbM3SUV5RV07qIeBlOa0YCYlCBWt0GyFqsBa0OlW +dOo26VlXBdPqa4pHRF5kRg6CnFRAQNN31yLlJzxjHtncbmRMRb3t7umxZxn CK30gYGN6qMhHjvqeOtwW/XayB11bWQeARiodgADp5RR9t50L1dgJHd7Qm6b +Jjl+juydv0pEjxQbtAiSVyhKgizNKS3CivHH4MHgH+FbdTc3cGIALcLJ7SW xqNbyKA1H1uFUWFEMtAIs2HoSv7Aje87pfxHrYR4mmBEJBjptBwxM6QHo0Y+ jDJ6vSyPz3nFGo9eXvI/HH3PLVcToPDaIOVC90jdRTkx0q4DlIZ2wEeJeOGL 26Fv374BL3MgyvJZatuZkcJ3T3nWDbQ2dYP8cnxr+d3kdobBr7BJlZWnriiE wC9buBn6VNfO1tUBMT4+PljFJeK0VatWgYFVIJjzyuuyctty+Y8JreT88XdJ YkZyeAhqSD8sERkkKSkpEAK26jslE87EriQj1mh+YeUKhRgqyfvrRslPx9xi S6EeKspyhhul6HOt6P/InSNk6bzN2Nfq2oxaIYZagqWb+8eNG6cQQ6DC2jJs 2DAHsdgQiB3JyzIqsled+fkVg2Hil4cDmo6JVoSZ0Wwc3xdH+6mLLrrIak9V 9h9RMFgm+XICunfvbobyVCq4Lfm+OEwMnmsFUHInOy581Wr5vZa84zdKPlJY aiS22bb9WfKGfVZaqy80eQ/CIxXKDDPTKke4GLSRghmmOoD+WFQk69OTLDVu HveYbMnaEQGgnsWD3DBcdDk5OVrdAruodk6tQvzC9TdGCyIdNSwgn3fAWrF/ tfxuUjsvR2X7Ygusq91ApPXr/XUF4FVuDDwWxCQYYd6vEcUE8T4yxo4dOzzo nXUS9Pg8v9BLxBuQ+AXM3ovBrEkNpIcmSTBIHxjP8ZTgqeeAG6xVAR9VaSgb GQw+PBrOgB4JfA2tojts/T8kdszNcuHEu8EyIAxTxzgitPCiuZ4PPrTgbdoH wujsHrQaVwutjZnbjCh0p9ww/SnZmWd3/h9qBlgjv68Wv2EOoQo0AquZulpL tAAqrnr4MBqWevIgNxgX0S344G3Gmo4wF7Yg6t/c5jtcUiAdFvS2RKfLd/1s 1O/pA52n0RP527RpU6/fRRi4YQR8/vu37U77ZNMEjLRh4RZSFDbGlr2BE3Tp 0sUPs1dpF4bK/sMMYYhfWHC84MbalbtPmk1qLz81KPw4aZIcqzgWCFNRuV7g oHQGpnV8STWBAxv13D3L5BdGqu6+eEDtweGFiKJ0090F4z+7yeiX2rQAjsF5 w75GyjfeedcjJfxuUfAw9tzdyyyWLht/ryRnbw8HHnWYEC6LIqg/4TC52j0S BCF2tAYNUrcbL/HXX38d0K47VYCkinOyOW7Npz4k9814pjYw0vLdrINK5rhF iQqBF+KiwYAxePDgaIqwG1hBsaiQwfyow0LENS5t2rCHVYx62L9nSVl5mfRf 9bEQ4v3I3JclJy/H1ilmiyIH4sDqXTPsqnPgKezQVPR3Qzw0zhVpjVU52SMC +NILDkqb+T0tPpftXxUJfA+7PQTFwWRB1Bj4hZPgVTaCr9M9G9kQdARsfiPl HbsQxMBwgEDYpgM9HezoP91yejeJevmPcvt9d1oKwoqwPSGnEEcdpnS2wo6Y Gi38XxV2nAFtShUXF1cf2MXYpMb3N4614fu/HduSDhZelmwtfMuwXyg+UVeL Fy9ugOHHDAkVgVvzE1sEc3lYVaCnm0fZsaPSd+QgaXTxuXbmDaIbBIJjMyCP 3FnXmkvN3Wlkw8POPSmxLpDSoEsi7h+c/5LdZU8tHWgT334XAVJhVW1dNjE8 d99zt1+UMvCTyvARGmuhXiFp17Xssy4bexv6DZV26rZsjXhcnZpoLZn/Ma6l TN42y7rvLqvvsnu4adleKF7rWnPIvPs4XpAD7nixjsv9T+8HSiB4/hRNvdJi C/yb60SX8OXs2MiZUDARN6VgItIHRxzvNrs7DJg0aHTkmm+8CNi5L0hqgecc vjQCmEa4ZzF62VWe31ACfzhXJiX59QiXHkqESpbl67MU67CX7Q0x9oYY2ZCX IsGf0uNHA5V3mRFWZG3in/abUZKjSta+ooN62bsf609FWchYm/LoB+ZNZHvB fv96xYnj+ohLM/Q/q7O3BGLcI2tztgX/pI/kHysKeWRrwT73lhhJPrwn5Lcj 5SUBXWlqcWbIb6nFWf5zCVnJIb95hQdDQUga+PDhw2MdVrTq6Lrc7f4we45k hAyTWZrnfouSZZl+jT0tOOg9tDFvZ8hDJRVloRhYnrnRx8DB0lzdeblHC30M RLu/Bnv+OGYyOq8qkLS1mxScSFrBn5XZmz2QBe2jGCksLw65a3P+Hh9AW/L3 BgOuoXskrSQ75JEDxZn+I+YlwT95b2lsllQQ8khK4QG7xHn7EiTwq8a1Pcze D/iJCb+UoMOMXIjrnIGQeVxfCRUH6DXDZVxwx48f19RZlA76ePCUQXmE80wD sNuN9nP+N7fIRxu/kaPHy2t5nisrDAfu/IWXGeSQgLM6Wqbt/94HzaR932l0 TIMxN/rjuZ3lBRi0mP9cCDh3H0kPRPmjmgEvmNjK94N+njJDz/ZbSV/rZe9+ M1YwkvnctehFl7sULU8nDPavF5QX6SMlVcjB7+IeCsS4R5rNejx0A3iPsNWD P4+sGBjQcIm2S/uE/MbB05W+v2VCyG/Dt072n7t4StuQ37yz7U3j2/3L7DVi 3Qxa9GzTZwj+etXsp/xh+iSODBlm7J4FfvJW7NhbqsfAHQt7hjxkqGAoBs4e d4ePga92zdGzPS99lY+BaPd3Z2GqP87riSN1Xn+e9UTIKwy58pFGWmDw5zfT 2nsgC9pWMVUPo3T4vq8PoI7L+vnXDaVo6B4ZsW1qyCPvbh7nP/LbaR2Cf9K3 zE6LD3mk+6qhPvwCr1yuZzt8ReGwh1uzj4l/IZJL2T6SuTnweoqRNRGKyIk2 eoheJgsBWo6sbhh31cOd/dIrcjw/Xy0hi/bGy39OfsCWZtiQubW2fNo/1/9u ZJZm58vXG2cqn56TlgCJKc31IZNRmtPAXubHlf6QbmPxw8k485iG+U031sKM NfzTfg3l9fMUjqTpZe9+jJXlJSFjrcnZGmjg5pV0eLd/3bJt75HjVdj294c2 BGLcIysyN4Xi33sk72hhyCOG7bm3xMj63O0hvxkiEtCVVuWpe4sO+s99d7C6 esHeb4dK8/SaFZO81rNgKkaiYq071ebQEKbzQ1aS/9z2gtCiwekl2QFFB8ey WnSszg4tGlxUURqKjvnpq310pJb4RYORLRQd0e5vsBS1o+CAzqsKWOXYj+U+ Bqvy8CWH1nvwC9pjMXL4WGjR4MTcHT6eE4PEQMvDvUeQ8oI/cBB9BMYc9PHe 0tiWhAv+GEnBLvHb3UZUbXp2XXh4k+Bjbj/QaUJzkbgZiIhHkOuFX4ivpGBU wck7b948VVfZBxgV0cuxiGF+0MN+3FAODntmt+ek/OBBLRxecqxU3l7zqQ1L bj7jCeLJQqlQDSdeo9X0S9sX1UBRbbVv3AUXXNDA7cpAowZocdbQT2I1u7mu SmvQ9BqfBD0oIGYKBsHaQxKTX002yvp6MeaPHj3aj6KyBSrMKnmEOHw0coWa jf0jsufxp6V8/wHNx7X2t/w0aTG7m5fxPLW9HDic3jQC4MJqfi+66TF7/GMG 9wHthhNoEi0/e+zPkpiWzHtPAVoxPrRs1bScHKpL+Ao1RjAXNulCWRrbDnK8 AG8JFmw+KIr4CilRS06IGcvTv5t4PV0Lj0hJfILkfvChHOzaXVKvvVFSb28l WX37S+H0mVKecZA29gHFSMaDD0n6vQ9IWVJyQPM/9+YdkGbTPQ/2kwtfte7k E//852/qC14PZmfZwqb9+vWz/ghsQ2RO3Dago0SP+ot0XvyaZBfnnMpujLVC Fa46fHBozdStYQCuG+1duxRq50nX4MgOxJGm0iKiu5mnM301kaM7d0nWa2/4 oV9pLe6QQ48+KQc7Pippf7nFq1v7UGcpWrjYh2lW79ck7cbbpPSH+IDmdKZk 75L/+vZRW33omaVvSmphRqDeAO3lFoK+iO2J33BJHDBngpaLF4y7Sz7fPBX7 WX2tFd7mx46O9ZqNe+mll+r91NN0tYSd2f0sv++xa2hiB9NrdLMkm9qb9zlm kxZKTv9BNtWe3Nes53pI8aLv5JgRiI/uSJEjM2bKwfYPWeCmm81rrgW01lfu sL/b6yVz5wc0Q3NlWqKtM9HEALfrd31tse9f1xe4rzmAzdy1xBKXK6a0p7Bg veCoHWEJqcJfTCai2Yja61ThQ1YLygAfcrq4Rs9AvFO93KGsMPSCA5zVp69k vd5Xyg+k0vvM5z2GbR2JmyGp/32zpzG+O9QHWd6nn58EMsqvArZrv33cliBZ m7rxVEHmxcT1WjHU1lj868K+vMS50GJtFm3c1nny5NxecvH4VtJ1/usyY9t8 OXKsGMJV18K+Qdu00UlciEEo70DfLX0YZ0yZF/Hr+HisfYZyyhjQce9BQKkk BV+fPHlyX4UtBdTXrpO01vd5W7LFHdXC9myHqoQD66Rl3JNy1YT7KWphZScz xsX1BW8fN48t2Tvk+jivlsSkLbOsP6mx20oUAOm59B0L2ndWfSTL9ibIFxvG yWWT28kz3/WXvNL8OhdPjmDriLG0Vmks3nzOuLe3G1m7OE4pglhQgLiHHI7N mzcHFLDHD+dL/mcGgFd5sbiHnn2hBsB6zbUprgEAfm10bsqkkmaCGPPLU4Uu zobPNk+xfslfjWtJaz+/UMuclMU2E//d1Z8R6Kmy9bfb5tpao+N3zj19wFV5 HgAyCM6zlJQUhSsx3SiSyACoouh9OGGgFeonrDA8oeSHeMnp00/Sbr6zgYuq PbKoMkJTlxAM5nPc/iWeveeq4XLZxLZyoWElg1Z9TNJJvSH8uoPwkaNF0s2F 7t0//yXJKDgY0OQiCmWM2hoHC/PF7ByDWltSaNUwKSs/WteaGBEhHOy7Sk5O 1voWyM5UG4L5IWVBvI3IoEQOagAxLpgyTTKf7i7pd7Q243sQzn33A/mxpDTo kIRCWHNWqWwy3Wxe8lYvn9RO/jClg8zcvgCHZuAX9QXzG26CJJI2G99Gzhtz i3yY+LWVAjTkFVKEQZxS0Arm4opSC+Zn498lg+O0gVmpBKEmwJGBqB1BgpzC Gm2LwaAiuFqR2oxC8JoboGDOXElv3Ya+kD6M0+9tK4UzZ1ESzJe4gmGs9WdZ Jk1zn13S30qy9KNtPb+HbD60DQPqz+oLZiVeUFhSlq6c0lFWpW+wREhjIrbl 7LLhHoM2jGIepwDSJlb+Ivwa9xNfBD7CIHGkB5zXnFA4IwD6MRA4P0kxXLBg gWPOZ8kJIyweHvVVZcZEs2sl7SaDjnsekML5C6QiN9ePDgqG5/lu8gWlBZST kt9MeYCqMNHOsNZ73Sf+vC84VZiCswEJf7dS8mOLXpP8sgK/5TkCBFu7i+Fm vzfnZXXahlMhuk0sd2I/YsTjSzCVcjOAiome4BbYrIZflm7YaFUAqwpc30Jy 3hggxQkribv3SVkw8P7NTXDf4VSZsGOu3DKbTgI3q1XyqeVvyc7cPVZgPWXg QZh2Hd4nd87uLueOuVlGJo7zY2cTsjfLEz+8LXfN/ZtcYzSEr7fPItOsXvBr 5LRZVCUCggjkxk0FnAa5uRwe/pHdYKl/am7UoT5yPC/Pr2kZDJ9/d9dA/N7D B+TyuIedybaRXDTxHrlpZld5b9VImbhlhiSbg8uBHrTpK3NP14QhcOBKf4UH //oAsJ+bNCbHuJQFcsmEe+R8IwUkpif5+tvo3fMskbx+cieZlDzd9icMUxlL wyNgLwQ06k+ER1zmAZBsa28ORJRREu5tN1be6wO80/nn6yR/7HiloXQ5Ljda bXF8vP1WZGdXKylpnujeogzrTyHAaejqL+X3k9vLeeRXmmVdMfVBuS6uMzWz dB++uv7TUwdjfzfXsooy6bX8HUt07zb4yy8t9MF4uCRfRidONsLUzfLuyk9t QlmYTVhThM5s91vRd0t9LfzQY09JeTodx/5ZUYE8Z5TQTKNYWmheeY0ULV9R LcguckcEp9qKvavknPF3yDnj7pDGY29FkVE/CzUOlu5JkIPF2dacneM7QaIl szTXLOAnhusYiH35ufa6wWRD0Dr4jdT8YIBb0e7cvXLl1E7ShDKia7+0gRxa Ou29hM/k8mmdqKIeCWjUSqA7xMlAayIVeYcl628v+lJ3+j1tJWfwu5I7ZKjH bKFtBqi5Qz+oNGm81tdezx8+InCJlCWsAojfL5H4ySPlwf9paRhfiwHX4byY 8KG0uPtS/iUz18UpJBAJEKOo2RUJEm+6JSzYtdRmTVJReNbeZTb+Xkmsof1y 7je3ycgtU+vMA2a5I2JluH98LVk9X5aDjzwuaVjKsOY83FmyevSSwklTfJ9r cyd7THzsCVso+Z133vHrv+MT4p3EG9Z2bfCyD9Z/ZSnKfXN7SGZxji8vTtw2 U+5e3Et25Ozyr6FRwhNHJI2r83o9tMdaC0FFdo5nZFm3HiTKsb37ICXIBg2D 1/no+V40ocFZvdY50M0xuyRP7p/9gk0I/vv6MSpxrjTLaWLQN2j5cI6d6iJ9 lgy2nH1NemKdV7mcv1fKieJi88PQgQPl7AYN+Aa8v1ESHfiJvyQVcwijxkpt vuY+/sbYREruQ2JFxKIUXaRmPQMdWpGuF+2Pt0laoBYV0lvcWZa8DEn4xCyw vTy/sL+lyl3mviy/nfyAvL36o6A2xLVf9JHgH04OtW9sDUxEVGKwoyUIyiMi NgNDHqjiZF4WaX3K1fFW9F39sRWlb417ivRgt75Gdn2GYcpHm8bDm+WbzXGy JXO7XVddS0iGXZeGc1P+BQcMhgU+ddmbb7nF4EC4ZfqTNgepR/z7ltJ2Pd0T RRAnDZ2ISgatz0SR6+IPrLU76lcT75WFe5ad/onCq9gh2OYReusy0XfcRAf/ 8JGFZqs5z8u+/FSrEXU5XRPV/pFokxR4w56Hpu4mWds5Fh0rkdZGCAeY/c1W psvHaZujGlcJMMX7poWs6gJEsJ2QsUEuN0IAFQe/37vy9E+QgXr37m2xXWWC 6l3U4F394l0c4n5DwvswcbT81NDw3xtpEjrw1Omao6YcYxDXQKpKBJ8U7nDS 9Dz3YJZRFG6a4+H5hcX9Saupa+nyiDPkPVQnJfPm448/rjJDdYMGz/A999uq A+ttAXy6EMxIWWxlmyeqn96r7jIHlHh6SLr5f5VkCTej+KIXlyCipUEYhds5 y5QFQQ7lnibhVvuqG1Cj0JYuXeqZRuujCigmKDA/bM2XFgs3znpatufuYhZh amnrUsk7owAjJdVLtMJ+lAUo9iUcxNqSAU8TtBUPKQyNxH8i7jZv3owdqfEZ We27DqvYNx+c39sWxn09/kNbKDTCUvH4chC5XFxcrEvFGUy9XlRqXSqeU4oE UQydTYDxHQEFI7CRr8/MUt9z896UuU3+14T75WyjU87evaw+qzzX7smgRHjr niF7hzRdXJt8tFcv3H7KlClAJERB/T+8Uq9HwsdbJgs5JlR/LSg7Eq4SeZjl NnYItIZjsyw8+PyX44nX5I033sAOemaWNdTNMbs4R55cMkCaffsI9UDrtiKP F3v+Z2RoLEAkqhC+QZ4mlg9my0lVkySJSAgYdOiubpVaMoZNgYOeccwJ9uST 8yyN43EsoRoKoXQOGkjcDeyW/8eXz7S4n4qOUW66BMxQG8hNw9JGxAnupyKB +c2/V4HNuDyXlJRkpWcIC1ZYqtxou0qgQ8gBYxJCwu8n1DUba8kZ06L9Mbcw JAeYGH6zhGj3RlbDm8gUw3bLG7H14tjH3gvgHqgv2t93WNicvV2SDtlQ7Tru YsU5lc+Jp0CqJbqHrtJYGyg/Sxkwgp4U5yQkuZFrxDnIRd7AIrtnzx5Pe/mp 3V4QdeKpHDW0zxEsjRaOh4xpYP0mhYYtqOqbAbJ27CDshB1JCCa309MF6ZEh SJ696qqrmKma2hTzJPWRYmEWZyZvBgh41XdAHxadKDdLdCieocAPlUAop0lM Ex/NssWpzGx5NayK0k3Q85SUFEV/QkKC/RmKwH/hanAy+r4AW6BXb/Tn1gvV cCGsb+xEYA8+mKabTr1QzVkjNo57R48erTnhpGORAQXLN0fMQ92FtmUDm4pM M44M6hQnGGzjF9UTyodzorhDP8TmxP3AgQA+I0NaG5QhVh7qLvBvJx+f/HdE TnWvsFvYTLxO+41wYpk8M6XGE68wOohuNKq/MhQVPTjwvJ29Snk2Kp0gwJhH 9HZuIWmcNbNpGI23U1wA34PranKGkB4bdDclFACXQbjmLbCT2bm4ng3e64p2 IAj5pIDM9ddf76HdBlnYktAcT600B1VmAgTFQEmDm70wC1w1wXjneDMrriEv RQW90qVxVeI82se5K5alyGB/gyf0Co6eVjCESesbDZSUSLAZtSUyaK4Uvz1J neBKgh0NF9PLUCc2DnvTf7E3TZKFCT4709iOsgyHJffo0cMHHKo/FMhx8LBy iVbtQwZXRc1Qcq3DxUnXwtNmImrko8AgCTCGoDvrcqyNDwtGKdSAvGqumfWo VIz857DpW0aDhSJtiwU74fgiGXNkq+BRh4N7Yf2jgoQW58UdwxGGUBiJRW+F uztz+mnHkBdp2MhSV3gJ70ISDsJWQA8nq8EwybELOpwoeOSis+NqkiQVY3jd oWNg3rC4GJsb65UngdpS98XQLcUYVTZgwZTJ0si1qhhjTVpaGgMjzmhFUW3R xjmCMYJ59mAYtHHksGnyaCMoguFBGsWJPVAbphoYnkn0QejZcMgxlLnTSv2g TxkqyQAUVIF68EFMICEM5gAkoSJhkae1ThGO2QOgxNDNKCugRNukWeKreKe5 ooCmUBIR19T5UGdOEPICSv9YKWIc9yN2IA9rtYsgBNaEP3BGjWCuu4zo6vCH kEdwvWGuBmwGJGZeSBp8kK6Rowz+/NmeqbMHAikOCOXg+IciL9YKviCKg+aq pFrWjShp9l9Y/VvxhmLDummdtWTJkigIZMAr3qjQNNyitnhTPQUqS84/qhfU lucoKamNCyMduloijV0LWTB8zeN+BmjsXGQU5Oh/BfKUtSEUUJcQJ4ffc8ez aNOgj44UTZs2tUZjRCvysMNawbS4M9IBmwCSGMSsCRIlWJSwEbNnFLDDhw+3 RsBp06ZViywFtooyfNhu6MSIuLU4XAiHkA92HzspDJ4QPYlepQK2cleyCOC4 SKx8QDNyJ+szszgTRDKsjdWDd2MbPwJBY+lkRvABgRTiYQwoqqGWKqJQewdZ CkplJBu9zDEmqD8QrAB6TJ1UCRTwoIqgYEN7I37yySdVoT9v3jz/lKmQRpEM Krq7QOJgDPhRhdAJzjmINTKtDgFEOGiItugUfJgvJnhuh7sqKoCGK7x15lDR 1k0UPRWV2FWMsuYLTFTwXIwy//RDB5vYowfVgfFgpVO9l4WBI7WBV3KaaLv9 CLoGllu3btXLiP9aCtHs3qriOgqRgbZ6U5kUlgeNMNYXn4wQKwjY2C4mSdYC 0o9O0gDEEgeGr7QrR9utolqQX6PMo+FU+qdq6JnHTazVHTjKkCeWzHxYGrWX jBiueUNsQcgU+ivFSGEQoBDIwLIcSnRrgik0KDCP7RVMUm8SWRDAeCVLubdS ZSawCWM8s+R5RE/uJyxZDzBIQqeichTPMC41bcyuUTzyT4gOM8X0y0w5k1Sh QYKiv2SUWxV4hJgj3CEnUhUa9ws4wmqCbvmvQApMAbaL+AQ75uAgWSOkmzkr Umy7OXOwYVWwSbKfqHnH4yosBiEFksNPcFdWBrmD7YB6pxafhBSggZbNycA8 gjeE0+GcP3baKEdorupAY1zEGvOuBkGvRqlDykFa4RYYRvCr1WzFYUIiRVsh wwUggHOEAddc9kxjpJFVB1g7O4vNyDvZ92aj+rUwg/mzNj4Jph4/d9f+JWxR FwJ0UVMRLjBKYXlDPjVs+/+NhXitXhpaczwuHAyqKC/O51HTGngF/MaIAP83 rMGLY0cEQ27CbhAfHx/QALfgBVz7r5xsWKf1/39RvV8U3HIDsR2nARsBngfD qk1852meTKw94pACDPSQCMRNJGjEE3OyIpXTDjMfjR/FqIoUoT+99dZbgWKu 6JTwuXAD+mlwYVf89oiuRq1V+xEejCqFXTVGAh1aX8F34MCBgcOuDJr2CgiZ WVRwOHCg3E2mujYAGDzhffBDAw+V4PCa8zhgqmwDcFJxHPMpcoMjIurgI2o5 CY0QwR6F2ozYYsTLGt52xI2CGcf5xD3kmWuEOWHio2VHuf3rEZeqb0O4VQuz 2avubQq4L7/80nJo8w0U2L+euqij2L+fu92Fm4epYJBEpkGForgy1i2zKIdG Cf00dQ/jbYFAYg7jDQhoCHg4Pw3Ma3q4kZV5sMCisOEGxZLONRyuj9fwpNfS hq2H2tylxjuRJLEWmP1R453eLsI4hVhr1Q+SlzyzuVM5NDg0zAAoGRgRsEoa Va8BonrAq8TtbJw1DuBVo8NeSMulKPcXR7fmslb/tBeAEwj85H8DXF2K3Q== \ \>"]] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Positive Feedback: Mutual Activation", "Section", CellChangeTimes->{{3.417766204049065*^9, 3.417766212776472*^9}}], Cell["\<\ Now we look at positive-feedback due to the mutual activation of 2 species:\ \>", "Text", CellChangeTimes->{{3.417837023375399*^9, 3.417837052861439*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, {3.417731462091422*^9, 3.417731462178471*^9}, { 3.417731504226867*^9, 3.417731504315766*^9}, {3.417761590500195*^9, 3.417761590590663*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztm9t52zAMhW1v0pU6Qhboln3tSo0bK7VkghcAIg6Pcdp8MS0TwC/wbuXH x6+fH7fL5fLn8+f3588tlUpR67qudhhR98+oPcSyFBS52AVOAUGCwdEvVoWg bFFhURhFmAsOCgoIkpGWQ8si5awHJL5ccPQLhGTo7iRci7oqOOB698uJRl8t 4XWYXk9mOuqIhSAVT5j+vy1UqpR6nN2k/uh9UlYPTbnvfvroWRSSv3o0Qzqf Qh2nZy60KjKM5QKA4lZiGOsXI752bv1IBFNCirarlVLD2Wb1/ku4gd3mmnUa 90k9Rl23qhtL4TPd5jr8dV/VtqiiG89m1qSolDqtFil8O8uU3v3ipjzmWzQj F9d97zPPeK/3oHFf1PPFt9WjeSeGoUyesDKfT3HOvltxN43+zrI7k+Lg2tVY UC6cvU6kqJQWEtzpgUZhZ4POW6vTTDf8+mIIr0+WL0VU73Yeh2Ny4TwnxnQL 75k9pkW5L7OU++7vaHROnTFslpSBaHYQI9bHw9H5OTUXcyhUG6GGSeF1bzxa t0CzHgpFzBjlnotsUTAU2buBFLRLclbuu2G0bOCylkXKWQ+HgnDW41gNZoua VrNorVLqqA1CQZgLDgqSFkWxAuHQskhR34g5i2+v96ZjFApF7pJwKAjXURy5 4KDgaFEcI+1oza8vGLVfs2odt00PBjL5Uc1KKM+Fwao4FJVSsy4KhGmMwqGw jFEwELZdEgyFadaDhNBh+MViUNAKxFfGwwNECkUy3AKxKeJs8OHHrz2eG7hg fPursnN8e5uVhrCNwtHRruRmd7Ne5Hj8aZnGnnRBeO0iYY1yf0f93GTx/Urp efFtUx9cH0WxXnWM8qI4GL5+JWOcQ7grjV3SaRQF3/uPH/4fP3SMs1I6sUW1 KEZNTujdhbdfKY5RHf71Q/ivQIoMPRQVe+X7MhCUGM/g5cd8oVl8SvdFeN1r tn55MJi2u475QnM2OHVVK3mzRTGdoutDq54emL4Rw6GolJp1pXFvvt79bFBc YMyXYZcERGFoUUAU5rNBv1AsyrNBTAqYo75hRZwNumvZwGUti5TPDbKMUSgU Uc8N+irquUFfMbao4cogFIS54KDgaFEcIy2HlkWyzXooYtzrhUVhlG2MQpFt l4Qy0hLOepmLUOXZIA4F4b5bURuDYieSXKxKQbiO4sBAaR/Dyl0SkDIXt38t EoHdPF9AzBm256OefwXKY98NQOEQQTzFTq5Ph86UddYjebIoHuEu2xiFwWAb o1AgbLukbb5wi0Yt83kUQrOyr6PiGW6Ma1oOCg4MjDau0LKBy1oWKZ8bxFGO UTjKs0EgZS5wRDFfHHasyyrq/qVSqdSb6S+QwznU "], {{0, 0}, {198, 207}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 198}, {0, 207}}]], "Output", CellChangeTimes->{3.417761598268545*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztWktTE0EQXvIgEECeBiyrTC5eVFTeYHnxIlolD4XyYmlVirIKDiIGvPoH VBC9ePHn+Dj4J/glMd3Er3dnZ3Znl02yPlKVbNdM9zf9mpmeya5UD7afv6ge 7GxVK8u16t72ztZ+5e7LWqMp2+U4zgl9Kw7R9QbZ/DmpNz6NjoBHHz1+EnvR 0DDAjyy11Jsf56umrdclzz3ficqEIH3TtPW4kFj+h3m4OJh67Vo2XMKYrVDB nknvu5NQjo55N2I+vgXTks3AR0Cfj2YWj5M3CerHKRA1HWJqHPZDoopEDRLV S9RENHuuQDAL2BJR94kaQFslxFruuQb2ohfsHlHn0Fb28jnOLZPgMozjtqs2 I24Q1UPUsHlEoy8UsE2ickSNWfuCmSa9YBzUVehdgo4XYsSLBXMAOw1d/ff2 wW2jGlldxpaAUg6xSvzNVEbDnoPNeVAjoB6ao2F0mwI2hGgoYBEdaByAc7Tb O0CccCuw/Yiald4tgrV1x2kc3Wwsw1qtYFnoNWVvwH6nrDYFwK4RdcPG0Q+I WiXqeogDuWcFLqp5LXWcp/TgWL9RpdidOa2UaLIJqhbN58ltjfsaJkmFgKVu DxAbZmViC4oV+2B/FM1He4iATtA3Dkcgj9CFTatXRHWHsOvU2qXfgknQt1zO gOIdjvNwDVo043MHTItE8X7+xIwkTD4kncZTEFwgqh+CYS6dheBtUBGDOKWB CEsbxVplbN9MjMjeScuSGrsTZ4yzHx/a7/ROxi1ibqYtxdrqpo6vNjHyOgXz skML7p+WYv/WQiJdukOhq40ei2B+loS0qMqFfB9R71UFxRE3vUz20WN0LqWO bBw+DfZDGzdzYAtAD5v0bAVXkh9slOEg5k3sYSnL9fCxzTiSZTp23+o7ByqA XaeW7poqTEHu2QWVB7WqOjwi+xYaxsEktyS+knoTsTjvZWeIdRVdZz7PeI7+ KCDkHm0ebQHHZAnCY6Lk3oq5M+hdgLalaCHiKw0+MA9hANasANPDgsWC60Qx WA6a5ZBrfKiXux7fbB/2Qkgo5SJj0Guw6xaiqVxGszIJP2tdxFixHaRTbRa9 VkEswBkK2EUxow9mWDwd1XR6jJiUijhfL9EvZ9aYRmWJru5KMWCHnAZEGbBy 25gFNQePBeRiywfQrYVlUOOAsJqGyqbNs+Q12iYA674AECbuuqwisbW81Pj2 JWV7Eaa07KkB9YBOmUmw69B9ysQuJKSG+2gzTsQ9tRXsyf1rmvgRJwFL7OOh FMTHqu7tUqZdWZV6Ba2i8vf825wq36d0aWvtDJdL8y8RpBJwVWdfCEnZtNFh zkBQqVcDNvPguCgnAdu6QBSRavad2Rbx75KX3e3pZTR8VqW4MsxppUQnPnhx +RinVgk7/ydwcSCTRzcbfK6SGvyTarTxtkRCovTqghOwVPnTIqJPxVaru5uz vofVzuLt/9t8LTYhztuV7rczLV7x1D6crl+GIu0b\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"MutActReact", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "R"}], ",", " ", RowBox[{ RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", "S"}], "+", RowBox[{ RowBox[{"k", "[", "0", "]"}], "*", RowBox[{"eP", "[", "t", "]"}]}]}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{"k", "[", "2", "]"}]}], "}"}], ",", "\[IndentingNewLine]", "\t ", RowBox[{"{", RowBox[{ RowBox[{"e", "\[DoubleLongRightArrow]", "eP"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"J", "[", "3", "]"}], ",", RowBox[{ RowBox[{"k", "[", "3", "]"}], "*", RowBox[{"R", "[", "t", "]"}]}]}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"eP", "\[DoubleLongRightArrow]", "e"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"J", "[", "4", "]"}], ",", RowBox[{"k", "[", "4", "]"}]}], "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ODESys", "=", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"MutActReact", "//", "interpret"}], "//", "First"}], " ", ")"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"e", "[", "t", "]"}], "\[Rule]", " ", RowBox[{"eT", "-", RowBox[{"eP", "[", "t", "]"}]}]}], "}"}]}]}], ";", " ", RowBox[{ RowBox[{"ODESys", "//", "ColumnForm"}], "//", "TraditionalForm"}]}]}], "Input", CellChangeTimes->{{3.417707878456383*^9, 3.417707881561127*^9}, { 3.417707947248625*^9, 3.417708043754384*^9}, {3.417708076035349*^9, 3.417708077588026*^9}, 3.417730813770281*^9, {3.417731661942531*^9, 3.417731669115235*^9}, {3.417731702811681*^9, 3.417731816324857*^9}, { 3.41776203408499*^9, 3.41776203629243*^9}, {3.417762070636538*^9, 3.417762079567813*^9}, {3.417762133507612*^9, 3.417762139267024*^9}, { 3.41776224055542*^9, 3.417762323642906*^9}, {3.417762407363379*^9, 3.417762414785096*^9}, {3.417762576822515*^9, 3.41776258463234*^9}, { 3.41776264157549*^9, 3.417762643329834*^9}, {3.417762701044019*^9, 3.417762718247538*^9}, {3.417762774878155*^9, 3.417762775921088*^9}, { 3.417762808804112*^9, 3.417762815318438*^9}, {3.417762894178477*^9, 3.417762999866468*^9}, {3.417763182130553*^9, 3.417763182204953*^9}, { 3.417763406968726*^9, 3.417763408127091*^9}, {3.417763512439434*^9, 3.4177635278644*^9}, {3.41776382141425*^9, 3.417763825093554*^9}, { 3.417763987212276*^9, 3.417764015032127*^9}, {3.417764645162184*^9, 3.417764645970064*^9}, {3.417781896339322*^9, 3.417781908329457*^9}}], Cell[BoxData[ FormBox[ InterpretationBox[GridBox[{ { RowBox[{ RowBox[{ SuperscriptBox["e", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"eP", "(", "t", ")"}], " ", RowBox[{"k", "(", "4", ")"}]}], RowBox[{ RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "4", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}]}], ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "3", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["eP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}]}], ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "3", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"eP", "(", "t", ")"}], " ", RowBox[{"k", "(", "4", ")"}]}], RowBox[{ RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "4", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["R", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{ RowBox[{"eP", "(", "t", ")"}], " ", RowBox[{"k", "(", "0", ")"}]}], "+", RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}]}]}]} }, BaselinePosition->{Baseline, {1, 1}}, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}], ColumnForm[{ Derivative[ 1][$CellContext`e][$CellContext`t] == $CellContext`eP[$CellContext`t] \ ($CellContext`eP[$CellContext`t] + $CellContext`J[4])^(-1) $CellContext`k[ 4] - ($CellContext`eT - $CellContext`eP[$CellContext`t]) \ ($CellContext`eT - $CellContext`eP[$CellContext`t] + $CellContext`J[ 3])^(-1) $CellContext`k[3] $CellContext`R[$CellContext`t], Derivative[ 1][$CellContext`eP][$CellContext`t] == -$CellContext`eP[$CellContext`t] \ ($CellContext`eP[$CellContext`t] + $CellContext`J[4])^(-1) $CellContext`k[ 4] + ($CellContext`eT - $CellContext`eP[$CellContext`t]) \ ($CellContext`eT - $CellContext`eP[$CellContext`t] + $CellContext`J[ 3])^(-1) $CellContext`k[3] $CellContext`R[$CellContext`t], Derivative[ 1][$CellContext`R][$CellContext`t] == $CellContext`eP[$CellContext`t] \ $CellContext`k[0] + $CellContext`S $CellContext`k[1] - $CellContext`k[ 2] $CellContext`R[$CellContext`t]}], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{{3.417762280677557*^9, 3.417762292463558*^9}, 3.417762324201682*^9, 3.41776241632849*^9, 3.417762584957705*^9, 3.41776264384208*^9, 3.41776271893493*^9, 3.417762776478612*^9, { 3.417762815786093*^9, 3.417762838729593*^9}, {3.41776289490461*^9, 3.417762957435542*^9}, {3.41776299099201*^9, 3.417763000328433*^9}, 3.417763184063233*^9, {3.41776351881385*^9, 3.417763528260707*^9}, 3.417763825627732*^9, {3.417763990647342*^9, 3.417764015908251*^9}, 3.417764646429897*^9, 3.417765882407608*^9, 3.417781908867583*^9, 3.417784087067217*^9, 3.417842362431929*^9}] }, Open ]], Cell[CellGroupData[{ Cell["Expression for Signal-Response", "Subsubsection", CellChangeTimes->{{3.417836980124522*^9, 3.41783698470899*^9}}], Cell[TextData[{ "We can solve the first 2 ODEs, so as to get the steady-state ", StyleBox["eP", FontWeight->"Bold"], " as a function of ", StyleBox["R", FontWeight->"Bold"], ":" }], "Text", CellChangeTimes->{{3.417766250300929*^9, 3.417766289570288*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"ePSoln", "=", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"Thread", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Last", "[", "#", "]"}], "&"}], "/@", RowBox[{"ODESys", "[", RowBox[{"[", RowBox[{"1", ";;", "2"}], "]"}], "]"}]}], ")"}], "\[Equal]", "0"}], "]"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"e", "[", "t", "]"}], ",", " ", RowBox[{"eP", "[", "t", "]"}]}], "}"}]}], "]"}], "//", "Simplify"}], ")"}], "/.", RowBox[{"eT", "\[Rule]", " ", "1"}]}], ")"}], "//", "First"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"%", "//", "TraditionalForm"}]}], "Input", CellChangeTimes->{{3.417762588685325*^9, 3.41776261644402*^9}, { 3.417762653300079*^9, 3.417762674071593*^9}, {3.417762745595713*^9, 3.417762749116185*^9}, {3.417763015756835*^9, 3.417763019046879*^9}, { 3.417763539083978*^9, 3.417763540540996*^9}, {3.417764228944829*^9, 3.417764236974253*^9}, {3.417765871246698*^9, 3.41776587389536*^9}, { 3.417765914474462*^9, 3.417765917796326*^9}, {3.417766069204277*^9, 3.417766088517763*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"Solve", "::", "\<\"svars\"\>"}], RowBox[{ ":", " "}], "\<\"Equations may not give solutions for all \\\"solve\\\" \ variables. \\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", ButtonStyle->\\\"Link\ \\\", ButtonFrame->None, ButtonData:>\\\"paclet:ref/message/Solve/svars\\\", \ ButtonNote -> \\\"Solve::svars\\\"]\\)\"\>"}]], "Message", "MSG", CellChangeTimes->{ 3.417765883459282*^9, 3.417765918419141*^9, {3.417766071517554*^9, 3.41776608899883*^9}, 3.417842365998005*^9}], Cell[BoxData[ FormBox[ RowBox[{"{", RowBox[{ RowBox[{"eP", "(", "t", ")"}], "\[Rule]", FractionBox[ RowBox[{ RowBox[{ RowBox[{"J", "(", "3", ")"}], " ", RowBox[{"k", "(", "4", ")"}]}], "+", RowBox[{"k", "(", "4", ")"}], "+", RowBox[{ RowBox[{"J", "(", "4", ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], "-", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"J", "(", "3", ")"}], "+", "1"}], ")"}], " ", RowBox[{"k", "(", "4", ")"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"J", "(", "4", ")"}], "-", "1"}], ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}]}], ")"}], "2"], "+", RowBox[{"4", " ", RowBox[{"J", "(", "4", ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], "-", RowBox[{"k", "(", "4", ")"}]}], ")"}]}]}]]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"k", "(", "4", ")"}], "-", RowBox[{ RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}]}], ")"}]}]]}], "}"}], TraditionalForm]], "Output", CellChangeTimes->{{3.417762660432883*^9, 3.417762674388601*^9}, { 3.417762723075938*^9, 3.417762778107339*^9}, 3.417762961072893*^9, { 3.417763001855947*^9, 3.417763019547431*^9}, 3.417763184961045*^9, { 3.417763519618197*^9, 3.417763541209101*^9}, 3.417763826792279*^9, 3.417764017380838*^9, {3.417764231730365*^9, 3.417764237487653*^9}, 3.41776464743643*^9, {3.417765874543692*^9, 3.417765883471746*^9}, 3.417765918436428*^9, {3.417766071539277*^9, 3.417766089012396*^9}, 3.4178423664046793`*^9}] }, Open ]], Cell["\<\ This again can be expressed in terms of the Goldbeter-Koshland function:\ \>", "Text", CellChangeTimes->{ 3.417766404797648*^9, {3.417779027131143*^9, 3.417779057984401*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"GoldbeterKoshland", "[", RowBox[{"u_", ",", "v_", ",", " ", "J_", ",", " ", "K_"}], "]"}], ":=", " ", RowBox[{"2", " ", "u", " ", RowBox[{"K", "/", RowBox[{"(", RowBox[{"v", "-", "u", "+", RowBox[{"v", " ", "J"}], " ", "+", " ", RowBox[{"u", " ", "K"}], " ", "+", " ", RowBox[{"Sqrt", "[", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"v", "-", "u", "+", RowBox[{"v", " ", "J"}], " ", "+", " ", RowBox[{"u", " ", "K"}]}], ")"}], "2"], "-", RowBox[{"4", RowBox[{"(", RowBox[{"v", "-", "u"}], ")"}], "u", " ", "K"}]}], "]"}]}], ")"}]}]}]}], "\[IndentingNewLine]"}], "\n", RowBox[{ RowBox[{"GoldbeterKoshland", "[", RowBox[{ RowBox[{ RowBox[{"k", "[", "3", "]"}], "*", RowBox[{"R", "[", "t", "]"}]}], ",", RowBox[{"k", "[", "4", "]"}], ",", " ", RowBox[{"J", "[", "3", "]"}], ",", " ", RowBox[{"J", "[", "4", "]"}]}], "]"}], "//", "TraditionalForm"}]}], "Input", CellChangeTimes->{{3.417762463452888*^9, 3.417762567893212*^9}, 3.417766398867375*^9, 3.417779037237371*^9}], Cell[BoxData[ FormBox[ FractionBox[ RowBox[{"2", " ", RowBox[{"J", "(", "4", ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{ RowBox[{ RowBox[{"J", "(", "3", ")"}], " ", RowBox[{"k", "(", "4", ")"}]}], "+", RowBox[{"k", "(", "4", ")"}], "+", RowBox[{ RowBox[{"J", "(", "4", ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], "+", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"J", "(", "3", ")"}], " ", RowBox[{"k", "(", "4", ")"}]}], "+", RowBox[{"k", "(", "4", ")"}], "+", RowBox[{ RowBox[{"J", "(", "4", ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}]}], ")"}], "2"], "-", RowBox[{"4", " ", RowBox[{"J", "(", "4", ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"k", "(", "4", ")"}], "-", RowBox[{ RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}]}], ")"}]}]}]]}]], TraditionalForm]], "Output", CellChangeTimes->{ 3.417763155428894*^9, 3.417763828775339*^9, 3.417764241198758*^9, 3.417764649284803*^9, {3.417766096856791*^9, 3.417766122442739*^9}, 3.417766329666105*^9, 3.4178423673173018`*^9}] }, Open ]], Cell["We verify that this is the same as the equilibrium :", "Text", CellChangeTimes->{{3.417766314514627*^9, 3.417766319340855*^9}, { 3.417766358589991*^9, 3.417766386943303*^9}, {3.417766535193316*^9, 3.417766538970212*^9}}], Cell[BoxData[ RowBox[{"AllConstants", "=", RowBox[{ RowBox[{"Cases", "[", RowBox[{ RowBox[{ RowBox[{"ePSoln", "[", RowBox[{"[", "1", "]"}], "]"}], "//", "Last"}], ",", " ", RowBox[{"_Symbol", "|", RowBox[{"_Symbol", "[", "_", "]"}]}], ",", "Infinity"}], "]"}], "//", "Union"}]}]], "Input", CellChangeTimes->{{3.417765539391279*^9, 3.417765571316342*^9}, { 3.417765955205732*^9, 3.417766002209762*^9}, {3.417766120211618*^9, 3.417766120401815*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Simplify", "[", RowBox[{ RowBox[{ RowBox[{"GoldbeterKoshland", "[", RowBox[{ RowBox[{ RowBox[{"k", "[", "3", "]"}], "*", RowBox[{"R", "[", "t", "]"}]}], ",", RowBox[{"k", "[", "4", "]"}], ",", " ", RowBox[{"J", "[", "3", "]"}], ",", " ", RowBox[{"J", "[", "4", "]"}]}], "]"}], "\[Equal]", RowBox[{"Last", "[", RowBox[{"ePSoln", "[", RowBox[{"[", "1", "]"}], "]"}], "]"}]}], ",", RowBox[{"Assumptions", "\[Rule]", " ", RowBox[{"Thread", "[", RowBox[{"AllConstants", ">", "0"}], "]"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.417765839452392*^9, 3.417765843517424*^9}, { 3.417765923661791*^9, 3.417765925555959*^9}, {3.417766012801656*^9, 3.41776602292468*^9}, {3.417766057852166*^9, 3.417766062726416*^9}, { 3.4177661090425*^9, 3.417766109231193*^9}}], Cell[BoxData["True"], "Output", CellChangeTimes->{{3.417766008193732*^9, 3.417766023428855*^9}, { 3.41776605986654*^9, 3.417766063012206*^9}, {3.41776609964121*^9, 3.41776612309044*^9}}] }, Open ]], Cell[CellGroupData[{ Cell["Remember, the G-K function looks like:", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417836756399361*^9, 3.417836773187072*^9}, 3.417836896510386*^9}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"ParamRules", "=", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "3", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "4", "]"}], "\[Rule]", " ", "0.2"}], ",", " ", RowBox[{ RowBox[{"J", "[", "3", "]"}], "\[Rule]", " ", "0.05"}], ",", " ", RowBox[{ RowBox[{"J", "[", "4", "]"}], "\[Rule]", " ", "0.05"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{"GoldbeterKoshland", "[", RowBox[{ RowBox[{ RowBox[{"k", "[", "3", "]"}], "*", RowBox[{"R", "[", "t", "]"}]}], ",", RowBox[{"k", "[", "4", "]"}], ",", " ", RowBox[{"J", "[", "3", "]"}], ",", " ", RowBox[{"J", "[", "4", "]"}]}], "]"}], "/.", "ParamRules"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "[", "t", "]"}], ",", "0", ",", "0.7"}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", " ", RowBox[{"{", RowBox[{"Thick", ",", " ", "Blue"}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"Style", "[", RowBox[{"\"\\"", ",", "Large", ",", "Bold"}], "]"}], ",", " ", RowBox[{"Style", "[", RowBox[{"\"\\"", ",", "Large", ",", "Bold"}], "]"}]}], "}"}]}], ",", RowBox[{"PlotLabel", "\[Rule]", " ", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", "Large", ",", "Bold", ",", "Brown"}], "]"}]}]}], "]"}]}], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417778584457289*^9, 3.417778626789248*^9}, { 3.417778855695805*^9, 3.417779010591973*^9}, 3.417836896510571*^9}], Cell[BoxData[ GraphicsBox[{{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwV1nc0FXwYB3CpJPNNKRQVytYwi3xFpYh6SSGVXZIoI+TVoFSokBEKGTcj mdnhuvbFNTPKzrrLKJLUe/vrOZ/zPOf3e855fud3np02Lsb27GxsbAqr2Nj+ xliLo8GEd0ZarV6toxlqClrqJEmKuqQ8jvWlHpbr5MK7jC73ZQlNiBFWvfje J4Ir2xXrPkucREhfywhtUhZHzS1cmyUskVn9I1tprQaUPWdINRLX0PBAViNI ywAZARrMKglfdIPgJZt/HhPc1msqJYJBeKp8tjDjGoZPHLcsNH4FswLOXWoy dyFOlpKyr09B3E7XJa4/jyG2sl7HeCwFWlmTin3STyCiSLMEWyqOiz0KJhk/ wcbn2WHC6qkQ+jwmQ019gjVnDvxuJqRiKkel5/7pIIz363epBhKwg7LQMv82 GOlUZ3/OY2mwmlNeSnR5BiXu/MGM6kyM1ykQXN6FQfLrXurCcCae+1X+OlEf hk0V7xYOs72D5uuaMfXRMCzcJPD2aL7Dt5/+jWeEw1HSF6Ox5sM7/PpH+3Hg w3DopN+LsnybBQu1a3sZdi+QlkwgPDyWjRe3GpZv7o9Esa7HJTW5XJjfMF3x 3RwDzYSmHRYHctHmV3pHVCUGH3/tHPHVy4X8UxGFbpMYkApa7Ii2uSh82eLz PDQGFCnpq4ZxuXgcI8UlzxeLSe5+d1vePKSZcVKEeOIg1Kn95BkzD3IV8+GJ W18jdm+UQe5KHkzDn8jfP/QaYiF0ni7ufMgf2fPZ79JrSB6LeSYinQ9mUTt3 c9Jr7C2af5FilQ/XapvASoV46MWlxpe25YOPOl0dKpEATzuegom8AmwjOT+/ cTwRboLZ1w9UF+CkekVGv2UiXGtNpIPaC7CduXGr+Y1EOEnHxirOFuCR/ibb pzGJsKLJ3PdQ/ADTrqaEr/REGLjrnVqd9gHbBOOqL0W/wY6A+1NirwvxYaNt mulKEkRVdie5vivE+YCGQ7abkiEy3mBJLCuE4r4ry4FyyRA8voFi31+Ii5cl /9tikQwunoQPmUJF2BAa7mFclIzv4eX+B8OL0Jq4/dc57xQ0Jv0QPfuoGFJC 4YtZfAQs2m81tooqxtKD2TQXaQIkpbUeXk0tRnbZrisGOgT4Zfoz/EjFUH6p n3PGk4D9BXwVBLYSLOlbyOYNEhBbK2m15FWCgjfVd2oL3+La1Ok3cY6lCLQL rXvul46XGW7dqV6lsHoz1csdl45a50iunMBSnLdbWSIUp2PHXP/NmpRSNBRV 4Mj3dHT9dNBlDJfCbmD36o3XM6DF898YLMqw3lhJQNMhE/x70naP6pfjpH+5 ovPNLNQO2UZOm5Ujq0Z6dn9YFvzCxDjmHMrx738HT23LzQLje/hXNv9ymO5a 32QxlwVymV+yWGk58vSqzoa4v2fN5Yy4hdxHtNgYhv5BNtgc/oi2cVfgluAw l5tFDoq2lIT0CFfgvfYD0ZZrOXBpcF8ZlKpAndvjA7iTgwH56c8M3QpYt8vK 2iXnoGy+M5bHtwJ2V0VOlDNz4HUvXfg4rQLdRK+nlCe58GpJf3LJoRIWnqdD sjvyENqW9fGncyU+VY+tmpnOQ3pn7lyERyW+d/7LeZo9H5/7SizIAZVwfhH/ 6ea+fGhPNMoeSKpE0ZQsu0FoPtaxURsFhipBOi+wNuBcASL3yXHXmldhXTq5 SpWtEO+V98Daugq8W17pC28rRL2aktuvK1UoCE002a1eiJ+HNPr3e1XBpLvQ usqV9Y70DTLiI6tQ9d2Ui2OsELtsnQy8O6owpcsuKt5RhPwXGUHyhkR8bW7p TusuQdiz2xeOnSFidSYPHBZK4PrEYI/VeSIGdz/kOLO5FAp3qe3hjkQU6HS4 1pwtRaqTnMjyAyJ6H1CkefpKEaWT8bbhIxHflM9IhE6XwWcmvcZhbzW43uUM rlargBnVJ+quWjW2FAnOf7lQAdVxfccYrWrYd15d/zOgAnP90zwtJ6tRPMRR 9bOjAk51smdUHKuxUXpKNvpgJSxfp4+sflMN60v1qvdGKoGT6X8SNpIwH7vf MO8UER9ai/miREhQZvc/4HGZCHmTBtGQnSSEHVS8bXOHCCGLSQ3vPSS4a2kX V74nYubybq9/DUiI2XT2QbRANRL838ys8ifB5dQQt+hwNTavy/2z+JgEn3sX 2ZuWqxH8pIqP8ZyEr6Jb+zI2k+AVOiTf95qEupfrjnAaknA6Xswxt4QEU4Wf SwfLSGArjRm2mSPhIz9BeG1KDTy10mfMlkhYP3x3r0R1DWhVxX+M2GqQJ/5N 97/hGvTU94hq8NXgwfSHsQmxWmR3b7bYKFsDbZPjAmlxtbCeC2uvtq6B0JsH ATeS60CUCaqWbKvB8USpbarTDfA4V2WU21OD7MiVgIBNjZB+sNiLoRpkSEZX qKARz4ZsZyyYNQhMV5StiWiEZZSmaChvLRz+qMwU6jVhYQ3Dc+VELYr911EW KshI2y/JHvRvLYKJJ4d/z5BhaWURImRei9uhbvO+4s2oLq1NUrpSCykXDrWh h814fjOe4viwFlWt7PaXTVsgO3RatptYC+6jzBWjtRR84Q0ssG2sRdSOh3va dlLwXKNce7aNdR45ZjBai4LFSJlzPMO1OHKBfnHZiwKSIXuAzp9aGKfZKW6f peBiad6XLI06cNEekF2ZbQiN3BwamF+HFCsZ573SneAqEyoJL63DDOOVxpxB J+4Pi4zGE+tgRviS8tulEzflt6sUUeowEny0abGoE2eIUr2TtDo8T5GQczbq ghBDfaf+rnqEnLOxPhfYjYSj53N4Iutx0nSZnqbYi6xv8W2htxrA8YBLP1Zw EHakek+VOw0IXgzIPKY/COEXs1t7HzZg9OI0meY3iAAlXYcdkQ0Q3vSvvOjk IM7fHP+Zld8At990jS+WQ+CckZckzzZg+u72+vdyw7ChFntyXGvEf79NyJYF IxAqHdma7tYIB+1ZjWbyCJqfcFcZ3m6Ed60TXXBsBOqyF7gjnjQi+IchSUFg FPyObAkSaY3YtSpIzPHaKMrGjzVojzei/WrSvlKhMWwZ6dh626oJTJ19uU2n vsLuoObvn5ebUNKlLuZi/RW5YclDPi5NcP+d92by5lcY6Xqk+Pg14cERn76L EV8RkLx5j09cE85uUxm42PMVMw7mOt49TTiqN/pj+uw4tCqqJJcGm6D46JA3 v8M4grbIrvOeaEJZ/plIPo9x7K7/2eS10IR76nsWX4WNw1ImztRrExl2HznT uMjjqKcOXLl1mgy3q4pJl9UnsPmInsHiOTK6qo9qXjw6Adu49wq3LpGxP9Gh V9l4Ar9P3p3zvE6GwRLDy99pAspZO309g8lQWnUl7X3cBBJc7Z551JOxLB62 P2RpAl7fpwrctJsR/uxL5aP4SQQdFVO9qdeMmBT7bK+3k3gdYfzB1agZbi9i NU1zJlGtUvrB2bIZ7MdMVnURJ8HnGVx42asZPMf4fnwbm0TygmLx+exmROif SBnZNYXCY7YHLAqboSWzyThfYQqNkVHFZh+bYaMzleehMgWmKluJKbkZ9tGU E/VHpnDwVlvJqclmGM94BObYTIGy6Famu6MFV+UqpotipzCq91ZTR6oFBmu9 e1++mcJC1OcybcUWiJaX8junTWGr+tHyQ5ot+K+sb3z6wxQcvDZ/VDNrQebG nP3H26bw60dRhdzzFpiLvXMjrJ6G1M8V4ka2VoRIbDjTdWkant/MKtLWtaK+ I3U8z34atYy8UvC3wpzz7uhDp2k4jDrmO4m1Yon2NJbr1jRSyV0p1Zqt8M9Z 5RQcMo3d8e8euXm3ojCG0ym8aBqSRy4Ydcy1wk7eb6PTOirrny3Sd/zZikmB /EheHips4h4n/WGjINNCqpXwDxW5kWPxEZwUNCio5lcLU2EcFBNdtYWCOTPn Z7FyVIS5czwRVqVAKa+n7LMhFRv0Bq413KRge9WPYPEQKrZVzhabeFIw8cnm XsJzKnYfWLtuwJuCFpmru4VfUKEpJ584d5eCFPeB7J8xVDjw+3RtfUaBodle jrtvqSj5JKh1PYOC929cdV8RqbC7Ysi/cYyCytmG7CvzVFwftrJ8NUFBpA1D 4N8FKrwt3NOkqBTYyCjbqixR8fRkrK7mHAUVMYeYs7+pKNo7dcuerQ2T1sej Nbho4F0KGCrc1oYWR0t2oR00fHhclmNp2oZUpsqE1AkaBs+Nlu03b0PhaPzq NgMaOHdz1XNeaEP503X2nkY0nCeeG8i3a8N9m4uCH0xoYFue4+J1b8OeutSV 9RdpOHFNxq48rA0WmrwHuG7S8NkocrMYpQ0X1fQ2xEbRsFa0fOe3jjbIxbod 7HtJgyJ1VL7xUxvURd/7bI6j4W7gPl3PwTa8Mrhx9mECDbsqyS4tjDZUKS0J HEmj4fq+1Q1+vO2QmqcoaZbQsGqT6+1B/XZkjYnsP9xHg2eqakqSUTtSst4K Sn6mgaa+0nLZuB2F1C0VawZo6L7wRHzGvB2j5pvdKoZpSCckN7A5tmNai6tR ZIoGY43eLeKB7bjmSna6tkhDso1Ovl11O2yVzeLDBegQ/s45IF3XDp/O25Kq m+h4Gti6jt7YjrGLqp+7BenwyrQ879HejlALOaaAMB2GC57sD4fbscWoe95j Ox0LjzNOE/60o/Kj+/SUHB3HczbRpzQ6kGqf8z1Wl44EVNk7owPcxIjHs0fo +NHsPDCj0wEJnjWdR4/RQZiubV080QH3ku7w6eN0cEh6564168DBrN+zkkZ0 kCK/3Nrp3gGF/NLci2Z0wDeV3TyzA0pr3OdnnehQ1VMXqt/WCQ/Hd2HUZ3Rk yv4witrRCY567T0CoXSI8xU9cJDsxKcouSK1MDr4u9Tm18h3oufZqog7L+iY tFFrOazRCYdoWhL7Szpi/VQDSs078U7k97lPiXSwfVCeyYrshKCRQzwpl45G yX31Ef90oWQ30WO+jQ6JNZ8MJTd14RudVNfaTofvqG9H7pYuxD7ndc7ooEPx Tf1Aq1gXlMMi8q266AjbbvV9vUIX7EUOG1b30GEu8kzc70QXlncpnHIcZPXD T/d1uN+FkTjPjEM0OtYuv92n9q0L+jfKBBXWMJD+mtGVt9gFPyWz3UMsG+ko ++xd7sLpaKfisLUMRD+uIMqwd2PUeK3jAgcD8kLdJtv+6Ubo2X2/CtczYKyy 2nOVfDc2hD+1luRnIMHlQkmTbTf8H+X7pQgzoDm2QdeqoxtUac18awUGhAVP 93rVfEKlxkivlAkDr7R4ZewJPRjcSg/Sv8FA3fv4Fe24XkSUPCQHhDBAV5Lw SQ7uQ1Gg6fmYFAZKsndl91/rx4xkkJBjMQMKHitX2a0+407wvuHbZAb09p8Z /KXzBeQOw7s2nxm4wB637LdzAIo5FSHu06z7RYrjZgQGcTZDYUL3BwO+sqaL Kt8GsanWJ3RxNRM6h22dVNyHICMzRH7Ez0SMY3/hgfEh3CGMNV0VZsJ168me VWeH8XjqzglzcSaEb0iVHm4dRsT7aesTckwI6hJ9nLRH0P0QQWxKTIwV1f3i KR0B/cKNy1UHmdhXVGN8U2kUmx1szrYdZqJdyf9BVdIoegcyvi/oMXHMJMPn kegYejjtD+03YoKXGXbywLMxxCbHbU0xYcJ4k9vcu99juNqvz5FpxsTVL+UW Mbe+QuCU8u/mC0x0i9fHu05+RUqJheu/Nqx+eA4RPtqMQ/QfX0umAyu/euux ZpavcyZ9/evo5R9j/SwLcTdcn2F5GzVffInlc3sE7s2yLN4o/1rJdhzT89Ep 8yzvfbQt4i3LFS5ejEWWT675dT/MbhwuR+7cYbvMBN+v3p2JLEcEBXKuYpky X1j5nmXLL09D/9pk1O03meXihJgkdpYtiFTvdfbjiCWk1q1h+crdfldfli8X Pudfz7KsVzF/EMuktMfRf01zicp6yTI99d5OLpZdLpnQPrBMqLquxM2yp1bT 5VmWV3sfOsfLsrpqGgcba69ZTVQc+uslhcAUPpb7Bbc78rHsK6o7Ksey+MAv H36WtQR33j/I8lvj6dX/sMzG+2fHCZa527uD/5q45kvFOZavWhIFN7Ds/6vk osPf+tnM13/9PyU8Y84= "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->{ FormBox[ StyleBox["\"R\"", Large, Bold, StripOnInput -> False], TraditionalForm], FormBox[ StyleBox["\"Rate (dR/dt)\"", Large, Bold, StripOnInput -> False], TraditionalForm]}, AxesOrigin->{0, 0}, ImageSize->{500, 400}, PlotLabel->FormBox[ StyleBox["\"Goldbeter-Koshland Function\\n\"", Large, Bold, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], PlotRange->{{0, 0.7}, {0., 0.981331643975456}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417778894931241*^9, 3.417778962529703*^9}, { 3.41777899628411*^9, 3.417779010738343*^9}, 3.417836896510718*^9}] }, Open ]], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417836911403155*^9, 3.417836921600755*^9}}], Cell["\<\ To find steady-state solutions, we find the intersection of G-K production \ with the linear degradation term:\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417836796576365*^9, 3.417836807606692*^9}, { 3.417836858531098*^9, 3.41783688814848*^9}, 3.417836921600916*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"600", "*", "2"}], ",", "400"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708185938001*^9, 3.417708225066429*^9}, {3.417708938849448*^9, 3.417708938949304*^9}, {3.417729994817061*^9, 3.417729994961415*^9}, { 3.417734582520106*^9, 3.417734582629582*^9}, {3.41777856275291*^9, 3.417778562817604*^9}, 3.417836888148671*^9, 3.41783692160106*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnWuWKyuPpjfukdSUegjf/1o1gx57dWbaDi6CIEBIekHPWifTGY6QxOU1 IPDZ//Wf//m//3n9+/fv/4V///77//z793Icx3Ecx3Ecx3Ecx3Ecx3Ecx3Ec x3Ecx3EmCSFoh+A4B/CrNJeb46znLTNXm+Ms5iuyMbXRT7lyHafBoNg4jTnO GQzpo/qQq81xqozIo/6Mi805m5AkHaPVWoh+Zm9/nol/liZy264252TCV1Ph c+Fz/e9qqqb47v//H52zvExltl1szslkMkoHtO/vTC2RmlIjucnMtovNOZhy AlkMZelt6ayyKTZ6csoStuNg0xRb8nf13VfyLHHNz6SwkX6WebViEcksX2QN jWzkNe8VXKRpKMVAnAH6xZbPFF1sCiRiU4zDGSAkYmuu2dKcZYfYPEPCj6d4 cUkyi3FDZvPG6FW4yUYWtsk3nTGINnEQuHTzUdf1zvUzfRX91RRbiPfZXGxs eM4JkkQOfdPI9K+G2FKpudj4SGfyDgK0Gtqp/94ESW7btcYIWfeOZWpySOWU r86KdwkLhG3vGoyED35QAIWaHIqzkeHvv3RlFygjrcyji42N6ESdVyoEVObw ehXSaWP27YBqirExwfF+wYZnndDgaaYHYuNw5/yQfvLpxeH0kmTlJ6xkf9ds e6fgw8UGB8t2cyG2fGj7Lu6GXTg5LjY8Kl8efWiDvsBh26ngYkNk/ogHkWah bHuX4MTF5jhCJB+QLjbHWYen/h1HiOh8gWvNcVbip7Ucx3GcOTaarRFfnPfJ qGOG9zls7TA4iIuSHTvXDMtx/tjoy2NUUfYpnYPPRufNiKJsVDoHntZX9MDw bxs22GAmnX0NTi+QcfYRW6soG5Ruhi3W5en3URGL4yPbAeyxLs/bF684u4sN tV1Y2eOrKVf7Zn/DsL3YPPW/SxsXX2eDKw5u5AUVsW1QsknyIQGUUmxqoQyy vdhUQrHFJm2MP7Ltno3coFjTAPfOmB3Etk8KgSzKBuWaBbh3xrjYLEEe19qg XLMA986YDcQGu0NIQBXl92txW5RuGOTeGbGD2LbKjFP/BkP5j6AcBm76LiEX 29mN6hgFf6nwEzn+prZzABuILd4vxS+OszEbrMvT/00rfHGcjdmgb0YlQFqF A4XqOMj4IOw4Mvjy0nGE8MSp48hQ/9bXXmxYpAecXXozkMcJ+ttG/U52ow/6 JUoX9lW5ESZHNvU7XWy3+KrcCoXYgvMAtXZ7wLdldcNwXGxzqLVbP/SpeIjQ O4Aqh4ttCrV2e4Ca2CTqB6ocLrYpeBphKXojm0T9yJSD21CWjSwdoHQuOTDq oya2duzh+2PG8/L6EWkCPh/0/zyAEJZrLQejQgixSY//8DC3RfGx13SB0MnW w9gKC3GxMcDXGIWyfv+su+D0jgxGNVSnkQv60p6w1k9R238XGo3grfMDSC9t JUhcbx2srZyv2G68HN5IIKUnT5BkB4ZccQ0kxHbfmQ5vIZCy34rt728XXA0R sXX0pqObB6XoxKqc7EAuOBoZscF0Jx1waqeMtJn9csElrK2My3q/nwPbB7nE zdh9iEsQGtmefTXltLZBLnDfAuHARiUQE5uPbXWQy9sXuivuBzmxPelShzUJ ch980KjHC05QbE/71Dltgtz/Hrbp0YKzK7aD2gO57w2EfqzgpLKRnz8feDun MZD73WDsRw5xkiPbw5Y5px2Qu9xE6McJTlZs0N1qHci1Mhv6SYoTFht0v1oG cqVwhH6K3qTFBt2xVoFcJ2yhHyC4hYWr1N3e9TkEcpVwhr77CLewZLV6e7K5 vWu1pyB3L+7Yd9ab/Mj28OAWZ0RWQS7mitB3FZz4mq16tWKAMRqzIPerRaFv maTUENujoY0xGrMgd6nlU6ONBKciNujetQDk6lgd+k6K0xEbdPfiB7k2JELf RW9rS1C3jl9zjCBXhljsGwhOaWSD7l/sIFeGZOjoetMSG3QH4wa5LqRDRxac mtj6exhkvT4CtO/8ohA67BJOT2zdXQyuTh8D2G++KIUOKThFsfX2MawKHQGs zyQohg4nOK1s5APfOJU5ClB/KVCOHWobTnNk024oMyDXg4HQYfS2XGwcY9vu IFeDkdAh9CYmNrom/i4C1NNSkAtvKHTzelMW228/g5kGrAK56LZCt92RxgO7 ynTZyK2F+C1adiFiNBR0kItuLnTDfWk0rPeI9H59Xe2wntZF6FGbyarjw2jf 6MJi7FY/vIe1Rj7dJbbstg6x2as2Xgz2i26Mhm5Sb6Nio5/uFFt6v4vNWqd4 guHQzQluLBRiuUZauylpSNIjPo3Ew1RfJrClt1mxta11FdMzJLglR2g0O31L dWT73uRi0w5hGIjQjXSvsRB6xNZdQBcbcslRYrfQw9aNbP2lO11rMB2WAih0 9U5mQWzZrTitx4WLTQrdT3UDa7bPnd+9O3In/FmAWLjY5NCcRRnIRuY3U1WB 1qTPcLHJoqU3lRMkNZvk4UnS8F642MRRkdugR0Js4XeDesZ6Y9kG2qSdYIsN NXZ5vY16C9FB5OjalNjS22Eb8Tm4HRa7maTlNu6LCnNSbMn9yK34EBebGqJq W+vqcUnOVJuLTQ9JtRkTW/wEejP242LTRK72rYkNuuONglxm4NA/iA1ua/2M WEfueYMgFxk59g9SeRJzI1v1mQ0atQZyhwUOPUJGbvbEVhvV92hVEhebPoeK Ld7cPiM56WIzwKFiSw5uRRdZQrKI+EGGkgljjJFpcqrYYrUxRmMWF5sBRMRm LRuZPLhLS7ZRO6LH4Bd5ChwjUQybI9s+bdiFtNjIl6PGNmmnk8V2lNpcbPqc uc82/ygcLjZtpE6QrLU+s/Leohl7cLHpIlUGu2I7SG2KYpt2jN1I4ftDxNu6 ypr+at7f01HubD4mm2iKbdYz9EeicOwL3c1/DzZTG3KzNtFM/c+6xmyU8B7S XGyJicgOZrt2ID06xHOF+Q/E+Xik0RqNbYstPuyA2a5diIstOZ8zO9dnCEgG qW/SNAJYa51DbCyWLCMvtvdMIcy7N98ucRdysfVZMN+oE4j3gexE5NZnI9Ul drH8bGQoXz6zcD3PFJQ9FMqWNsdG26HJQJZcuH90YVh/DlaPbFxis/8ROo5+ h4Ud2eraetzh1pdEbBp5lf1RLbjYjCMaeimkcW1RxucMdHhYa50wPya2nfOR Lramg/JzeskybFuxfSXUbeGdQOOLzRB6+z7zGbpFoWdjl4DYBBIputnIDu9p 6h94CGigI7ZwMWeF4dFiiUGLbSUiYlucjZz1nnYIFxuz03i/bdBMp7M4VxZH kAQgoysKhkG+w0fdccKg9fmkK8dcxzg6Yit+jpkpnyW2a9K5YPG2PiK9zIjY bj1Yahh2NAoXErFx7LNRLwix2WxHjhl1h5PmxUnn3cHfF3RntamIjfr13Eqy tvpenDOqg0Aj0GIjXw5ZH9lRm7cFxhZiQ8e02PJPMmogHilA7ZF9mrVAfRqJ e4KEDxGxUTth5MviuTRF+FYag9hqa+6w6772ZgkSTOyObEQmvrJ/PRJS+ZSL bZHT9+fkjBmmeLSxIDY6gjyLmz11PT1UgPKxaGd7l8aN0JkgX5N+F9vLiNia 6cqboY2tANG5gl0aN0KrUCEa3SZsMEWjjJrYotQ/vaj7iq1ta6YAtR3AYYN2 QS4VcOgpWmK7/T/CkCMbYYxdbND9sgpyoYBDT9HKRl7bkoG+pyK2bFY5Oek7 R23IZQIOPUVvZLuyf2QcNbHFdy4SG3TPrIBcJODQU9TE9t2hrgRSFVu+3FtQ gA1zJHrZyM+rGSs80aijJ7a8T3eLbX5Tu0pN+fho7bNdapsywxOPNppiy++j n6Ky/ckffAWIh9lN2veD2gkSFrGxRKOPIbHRjxGb2qxiqwyuu6lN7yBy/UOz 284uTaGWjex4LP5Vu8QgtlhhfHaNoSi26aFtr5ZYy2hdxQeRI1PFpcmmOCMj 6WI7g2ZdfXbZeg9zEFsEa8S2mdpcbGfQqqtwiW1i/FvDVmrT/IpNuF6Pmdmp IRbTqKrPzvbNbW3ry1pip0ZWSv1/Xfs+mwz1uvokPG5uu7G+rik2UptmURad 83EI6hUdqF9s1ucgcjHIqBZl0vk+rbCexsgW/bQoto3UhlwS4ND/SNZJ0cpp mSvynejn6AqapReF4kW83tgB5IIAh/7Dd8n67e5LVz7td/TFFiix8Zm3gErq n2TIDn9wcnw6eTSyaYjtEv24f56RLeQveO3rgy02/tjkyPtWCDoj22u2GV7r xbaJ2hRT/9PusRtAWmzNXW0TYitecHvQRnFTu3z91Ax0/RdiU1qz8Vhf3RQu tmGnlddPzUDXv5lpJIv15U0xtyVrA72zkfRfj+xg136ZIHGxUabX+5ACW2zQ 1f9J+4fvdptO6p/F+nqxoTf3SysbWftjwg4EWQriewT4nX0X6bNlQJPZkRdb L6KsRNfg1aYvNiY79gkfbd3sL69yXouJQW7cYksUxu5GDaXUfzQ3mDHDEYwU IepKZHJbKRsZ7WcPny1gH9nqAzGHHy10wueYuuCJjXpJvr/We/5O469O02Ji A1ebUvQMUkMTW4RCpXeKzczI1vDF4UkHzeBnPeNWvCWx8VgXKxBuo6PHrh3B KC42BFfsYMeuHcEgKhngls/ZOb1kLwKeSSqv2SaNMEUji0pv6TyHPGxdsEQu tsdeGeQGWels2YSnbhtvvY+yjHeGpUUqbMOqTXmfbe7UAlydKynt1RZb8XPA OlOpqOR/aRuw5X/REVvl9TMjcGrTjLhrU3t4srBUbPuoTX39oH4gTwzVeG/3 2dJfj62zi6343/6scSiKitgafz2yA1Xhuv2j7t2+2JZ6lMTFJoVutJ3TSG2x PXEp7XEe4GkkWH1bFVuaIAESG1bz/4CbINHuvk/pniGt9l6+9Un9D9foml60 3UQSN/WPVt1MhR723nrvPUzY2tS+s4nV/D/4prYY3x5tbFP7dcVkQWzRZ1J5 bZlXEZSPa005R6tr3U3teSHVh2YdscGpDS3eGODQxZlZjX36yHv0+7sS8ru4 IE3toTawcBOAQxdnOM1YPE1cWi62+iYhVB/AijYFOHRxRsVWPk1cWj+yNe4G 6gQ6mbGEGTuMUe3NWFVR6yfqimJLIHUCbLExBrU5s2JrG3SxdaGV+v9rvznf QNWszlg7t0a2ees8AKnN4KaPtJkjYJ5GRt2GYQ9nDhy1qR/XmjGDUskGYBVb 0mmWiq3riBuM2lxsZ8A+skUv14ntfl/7E8IS99yoJEi47IDUsQW4s5HrNrUr XpoeQHqCtUOxGnZOACkbSSrs9nAnYwCrcLGdQaOdW/sw1HGRV3mJWWzPjbnY Wk59n02W1oGnRnMoHNcabFcEubnYzqB+kjdXV/l3du13k3Tlmm1UbOa7A0CI VZBjl4auKvrQb1t+1CULLWEhhhsAQqwCHLo4ZF3VhrsB6waawkQQTexHWAc4 dHHW1pWNXmQjigbmA2wAHLo4a9t5nfXY8q0X651Z6yDyx+2Me+NVawrYkY1I hKrEwYFiNvL9esoMTzwHcLsnPJUYZm8JejPbxTbi9HVVnI9sItwcLZxU20qx kVflIuFE72xk/SRQtx3D9WqNRl1dXWC4M/CLbUL2dnuFotimhzbD1WqOltj6 bmtbtyI200MbrNgmT5+cRr2usrMgzNYH2XMlDy42F1wnjXPIjb/6rUu1Qocj u11CLUHyqbe5zzAXXCf7iA1YbUqp/6/ruX22v7SmK+6e3jXbqHVLYjOrNs24 ZiVyPeuCu6OZjey568a6XMX3eDLaEVTDmnReHk93xdWoHEQuGbS+sM5HbNvs A8hdkwjdBVeBrBHLYkumLQNPW+wBJoPqpBa6C66knvnP/hsxvaKuJye3Jlvf ZFBdFN8gTt91wSUsrIhF9Uyf2Ppz2PO4wabXimleCveP+5zyAllspcOu5+01 u05Is2uEXxtdle6C+wP2Kzakt87brLW5SkR/TsOs++5nXXFbie3j9PYGa+2t WE3xzzEzT549XHBw2cgOn/d3GGtrxWpKj0gO2Xn67LmKA9xna9vsidVaO6uI jfo1Ymfo0TMFVxFb8+0n1teKDeFkSwfnie3vydMER4uNfDlkXU9szVa01cLq 00i9L48eJTh0sd3uqNbfZQ5rAv0EiZrY/kwcojhAsSUORt2balnl1P+UYJhC n80OQEBnI8mXXNYVINrQSmg/6MTy7dqzZ0i4Atpecbcj21SxrdTat/mSktmI 7aV7XOv395QNpmAug9sK7l5sVj72ZrjEFrWjleAsRfKcNaHvqbjb1P9Uee1V VtyEZqIzE8gA60LfT3B0SUL8YqK0tisqakjdNrVdTW0Wh77VMq4ithD/Hi+o QBXxzHJ1dYfckwRC30ZwdAGyNNVwKVdVD8MhkvfD8Vrulb+czMU+CUPG0QKk Yt9BcZXQs3JRJYzfrZmzLjYqwEx3xY0LmnvDDrTKGbTgWkcsWjsAP+9ew0Lt PvNia0dYk10xBm6XR+pHPnRcxfVGnN1Wyow0JyC2eVNPbRGpWnI0JKemZCcB 7DdfdELHFNxgtEkCpW4OoTKm0j8TYiOHTTx0k7hYihsLlFiukSWHqId1w6+L TcA9kOD6oszvItJ1IRB7cjvVwQKve4hNP/YAIrn78KhCkIlIwpz10r8RjJKs EZBqIrESOoLgbkKrRF/N+id/i5V81olYnD9urCRIAk/3NNW3jSuuEVUjaEps LzWxzXsRE1v8S9x95jJl3BBnWBzYFVwtonawtNiCoNhC7pnR3CquNZqG98xh vrYeT8kyxMOPScWRwdwGSYrt5w+5NRuv2ET6O5FWknNOBsIQg6nenGJOcPSC /f4p8k4tsfHYW94k0TaJuO/UHX150JiVrkxjSXFzn2e5tiTFxm5wdXMEK2Jj BSF0K4Jr+q/HWFnq57eqF+8Jq4N1saliQHEt161cVQjUP80FLbbV0brY1FEW XDv1X7wi366bkysVh6PFjeBis4Ge4lpiq7x+ZF1ObByelsZrRmyBoHLf91Vx 6ZW/BYWO4Oru8qw+r3VumDytDBhMbPFC4furXDsAj8o3nzUrHFbfafzVb12u JVxsjwNp+aVSYFRWDFdrv4gKrnMaaVJsK2yvrHUzYiNf5jeF8uYNxfaLlOKA 12xrbK8UW7EEWu+TjIN8md1Ti3VHsf0iILj7icTNXTfWl4qtWKyvMcvFd7C4 2zFZTN/I9vl9ith+WDzEkVZ701Ud1mVy6fTfw2bXqo3qvubE9mBk20ltP6wT XC0RhSC20huXnUVRByqdt9JhJYzYc+0eSmwhf7xlAZo1Q1y9trPfg9YRxSay bhPyR8bQ4ZkWW/5ZIZg2V4BdcGvrSqUpGFxK936l1P+LHGfTe7KRrZhDbiy2 XzgVt5/YmKpFdkiWraZIbLW9jsrI1rhxY7gmlTuKjcXI1mJL0qIVtWX3xtco W9vDoLjeEySj1hc3RcP89KeQXC+SF1t4RWNaJUkW//pcrNk6hTnBVR7jSEXW rbPRMj856kuuRsQ7bNaulH9KbKdOIzOGhVFdH7PITVNsr8lJ9s5iyz9LKvs/ RWA/l45I/d8yJI3GNDLEE/eBKuXK4bRd3Lx/hcJunA/9qVhtelNeIfR3LE8V 17lmMyq2XsYC+a5pVv+jiFaqaQTg0Hl4ILjeBMkmYnsW0HsmtbwcwtVU28ce M2ajhZXpU9xWveieh9KZXrR2u1lpvnTXf7XDmLEmVuO+r5BvsX30WWyJqDru w5NRm3Q1Ef4mcmCz0WxFs7u0jw90XL1z/fgZQRLZVWpCQm3y1RQXaK54tltY hWqPqW6zdVzqcvv8IQ3S4e6Kelexse2kuthoyJqt1RXPR59AL+LxQIuNqT/2 eF9nvOF2duP/14iLrUbRdZqruemuBiO2xGBbbAt0BzMBIAAOXYS4/7TPYDCc eRp/uNfFUuMtsV1XY4GOuZkOVQvk2KUQmR6JiG2tdaKe0gVd9opOulB3Uo8A Ahy6KOv1htyL/nheR+lSN3/pYjsYF9sN459HLjYn5beuXGwN1k+2oasJOHRx 4NdsQvCUpCJb5GoCDl0c/8jug6Mk4S/9WxpCribk2KXZQmwSThimkt/FGmF7 0rQewKGLM15XVw+pL/RlehGIl/pBAhfbGYwf9ib+9a6i20iNbBBqc7GdzvA5 rOLpz6X0to3ENuvGxXY6g+38nTg2L4n1Igi1udhOZ1Br1X6jIzapJp8qz1Vp rGaVQY5dmlmxtQ0KtoSU2qYfJuoEucMChy7OJiOb4ERyTm6+qX0wfGLLUyYC x5zIkFa7mZ1IbreprR0BDoxiy1L/e4ptRhhUCmnWpjrAoYsz1s602FJjwmIT Y7hMno08Hc6Rjbpvw6YYLdSuYsONXRq+bOQxYps8CLCd2LQjwIHvBImBf7zL 9rLNxXY6O4nN+j4DVWkz9kwAHLo446v94l/vCtQ/3rWl2IbTSoF+1MV2BuPt TH2fJk8/7iq2iSQJ9Ry22HBjl2ZtVam0hIRL3oIhd1jg0MXZTmxCe3usXlxs Z7Cd2OSOJPP5wRXblscWlrGh2C7fKGXD7bEutifAdMgR3yiFQ+6xyLFLs7au dFtisdxcbD8Ahy4Oyof/aADfOBYEwmZUvZomAA5dnM3F9mbREMdl1Uo1jQAc ujiHiS3wfvGHyZKVahoBOHRxzhDbF2axMRXQXDU9ADh0cQ4T2ytJm8zLzsWG HLs0O2cj74m+9TJ8kp+hhNarqcVA6NdnXWbiXQ/l+4G8jXT/bsikZVPP19/F /1mgcJ48e5nMS9LJeSMbSTbcPYiao4gw1UTAKLbPDP+7vv7oKbscokbK3H8F k938iiySYisffKXSi+y42OagxRbJrl4OhjLCVBPBuNhC1nmzy5kUC3VRYquM keSvn1e9g2ttuHOxTUKKLZZdXqj5QiJW04cZsb1IEXRPJkv3uQxIkSQWcrGR D7rYpCnF9pFlkuFMZiadxUeupmGxXTNDSgSl2PKe3iU2KtTnYsvetSg23iS7 QSpio+ejL+pivLIAZSD2dWLL3qXfTMXW9sIttmXtvL3YvqTFrOiKvLiD2AYf GRRbVQfEzXdiq3vxkc0u9+XceGQbfCT68Uhsn9oixfYKsbG22NKZZpqtgRPb C7sXPWKuoMjVNCq2qBs/FNsr/hwn3F+z+i6x5VZdbObpGNuSqWZyP3I1qYit vKvhIw+V/FUx62IzyW1R04/Q5AHkahoW2/V6mdia2UgXGzB3ZS2bKOpGuNU0 mI0Mw2KrzgIbNqi1YcUO6Ty/t6L/O9a2M3IvesxNYbcV29Aj42JLb6cHpge/ nrx5iY0eFe/wkY2NfrHll5CraVJs0WHFR2Kr9feQvJtO2GmVfq9SZmt2wt9/ LjY12rVPzD3OFVtSB5TYiHxj/ExjIpdtOMX7K3GOkmyF/NaWz4F9LRcbIy62 3kcosQ0ZfuL+wb1rGsTFxkmrvC626JF46HGxcVnH7UVDNAociW2vBMnj2Cvz vOKuPltP/K649QGejeSlXuJtxTbwSI/YFrpfal7MWmkdtxcNUi1yPI2Mc1ut ZwAYE1vjTwH3S82LWSut4/aiUWplTtdsJx/XOhYXGztdYsvewq0m4NDFGa8r Yq+jmH4j96JhKouQaNZIPLE0opUAhy7OaF29t9BjG+9d9vyu8zhMbLixSzNY V/mmP33p1JYgB3hie612PxLAoYszWFd58vpFdKEXdi+agVBbfOlz3qd2OxLA oYszNbAlj1Prf+ReNEVR8Hxv6eTU/7HMio245GJ7USXP59ebVBNw6OKwjWzF peA8YKYNVQEOXRxGsYX8LaefqUbUBDl2acbqihZbSKZHml0Xj+mG1AI4dHFY p5EhW4g4vUy1oSrIsUvDv2ZzDkL7QwqNsTr+vIiuMbSdA4Z25wVjtJLjX8Vr x3G4IM9mFVccx5knRAeRo0suNsfhh5iCDs9KHcdxHMdxHMdxHMdxHMdxHMdx HMdxHMdxHMdxHMdxHMfB5X8BBfMAbA== "], {{0, 0}, {877, 382}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{1200, 400}, PlotRange->{{0, 877}, {0, 382}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10002.}, CellChangeTimes->{3.417778563598367*^9, 3.417836888148896*^9, 3.417836921601202*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzFfX1QZOtZ55E+DYcZbm5fM9HWkNzulUQ6cg3kEh1SrCu9IQlEYiCOyeCy ioiGRcwlXFYJ4gcimhEnShAVEXeJEDMus1vsQhQD0czK1O5YsLu4PVZRBVtF mS5rdPuP+aO3arbq7PP7Pe/pPt19upm5uXHpunf645zzPu/7Pt9fb8/gqx8f Hht8dWRoMPb+Tw6+8vGRoYnY+z7xSfkq9A2WFZqzrG9oiljy/v9YNf/LetH1 /n7FdS3r6/fpl+RtTfYgu7Z64gxaVnbNPbf+b+HPTqLT6Vjadt3+R0mn71Zm 4En+91l5G9q6EZnduGaF8D4z0D3SPWIl8H6oaWdZ/n0D3k8fT2fk34OiWzMz Z3iajfdzzfjJasT7lvnMjHdrut6KTWf8t37ad/nbeUm7Feu7Y72A92enlrWz bO3nL/8kRsgMLG3jVaNQLm3LYzGsk13D11l5PJ64tF2FCzZaN67Jv2G8X9re 2ZV/8b2d2sPFWzd4kXu+tJ1a4Q+h1Iqs0LlVi/cyf0BW7bpyLy4DEPqszEBb eqjJD9wruHJhvHukLd13a2d5a1Ju53IcTVnWfparWjvak2xMOjvLfXe6RxKd nB9HjTdEL7zlmz62LBkZ31+Rq4Yta6N19aR7JLXX3dWyefakSueCPS4AEwPY h9exbdF7VfJku+8WPpyd6uwX5apz60uFENv9D+RBB+45VyV7MDpmWXE75MFt xQhHzcRty4rewwJkDw6jVpWlSOIHW57tgR2yrKG67IFlntmWxi8hH9gO3q+e WFZmhjfbWzcsK7WXPTB37D/E0GXA/gS+3tltS8vNQIIajIYfzEITAsyjCB/N QkfWBbHw6GpAxR21hprwheN9kT3AfLNrTg7kA50v5iILS9Rr2XQGzaoL2rbd l5E9IL9FMWQ6IyPx2oXe6czOLn76iHy8Wgiw656dtmwKwOFSYJ1BGa4ysJkZ 7H8hsM8VA3h0M94gS1oAYGpP8G8X2G3ZcxErFrfT9eUglOtkf4IgJAKEdRsU oK3JyLoshq2IgO8sP8qWg9P2ofKfBcAZViTrfyDszYApmIJpjfYQR/2wyjU5 WGXMEhqT74CsXJvVx86g8BB8FwLaCV6Wg/cq7z+fuCvUcBG+BGBbLwYmptvl t17XrRI8D3V3YQ85NmEGPz2aijf411eospQvZAgzsaH/Ud8dvAIJywAL3hA+ vL51QzbXSjrc6Evh7X+ktCu/fT8G2tkVUOWv787qie1BPHHbdVMriU4ZvxJG eLvvPAUmkJAzA0NN0QthQA2rJ5mBSwEmw8Nqdo+IuHPdD+FzYjh6EZm1rCrd UpJMbqmBHtmDoTqZUADgMrG7haicro9emJW5bAK8b+Ju9CJ6z7JWT9L1Ispq DHp1CB8oIT1BM4g4O9EZWc+uEdIejyHHGxZ6az0ebGQHLwQiVcldHn8DNLUC eSyyvrR4dpo9EFYy73ToDel6/ZYgy3IIoShLxg/FLCPHhuN2svFqAOcF4DYA x3Mwvu109D/qf0Bc+aDOqmVesOVqEeDOXGR0bPp4adHpGB1ru+8THYfXrSo8 CNy279bEba7z4XX5SsSODB+auAtUs0ow/DAatxfGdZbu+VBd0snM1JWBmYst tCMPh1AMJZ0kNBP5tVu3R6TQgAKdmdlZlveksHT9zjK0nrPTnWWOv5/df6gr zsdArTF4bu/s4trMTNgHp18yV3ksR/b8OQWTSlQ5dixsLrLeMl8AoywJ0Slu c9x3FA/lnjsdZigbQ1mxsyd8Vtt93kAYilQq/7h8ePReYji/NpQKh1FqHFUi 9UPRi75b+ekcRkUAv90HxxW8TzYmhs+eKBz72ei9rRtHN737+x+1zHvbuXFt dEz+fQpQiFsL46M9gjtVohwJ6sw1C+X6lSs/GNzKoaa5iAfqzu5cs7AE3Gtb Fu5NtxOGhd7IrKgaB5fD8H3Y6uzB0U28ZBW5svgs43HszMDRTfn3qi4NyBTw 2Uc35cqq1MqXy+00+K3MSzWbHw3mypQabWmynzIXJhstW9iaEEXL5upjkqT8 Dfkvc8+FJ9WD+LEB1Mr1qh/DVZvA+dTe6olwhlhqL93+u/giM4CHRy+mj1N7 hglOH5tlrUm3y48xsSkGD6/LjuvDvgMP2wDVb00Koxjbz841D9W1bKb2fhtf wqoApaf2Rscis6uPuQ2jYzQv+NDRsf5HoA1B+VjLZvFDhXh9BCVa2kar9dtF 7EaYg2iqri6v6D3gWUrAD1s2c5MG/Vh/qEhAlmH7mMEypxqbuOu6Hu+HOuTR Zk6mhFR4W4e4TrAiZsWyB+bmuWbvBmECMYH7z3IjputJBiUjrp6UjFjnW/T/ jAVM7UXWk47wj+OkA0Jb0guI7JTPG9ei95KOe550ohdCEH9aOM+AUSH1guYJ Vugt9Vwkek+W9y+Vsnh9yDfwZ4uACIGsvHthzsi/f/JaARGUSHR2d7kuHiQo QSD2s6LGPzHPOIneE+vNDwSB6+6KN3jv0/WJTtmD1wxEeHRMlMT2yKxg9X38 BknpAXAYlf05LwUgekEAeE3LJinuizkAdpYj60EAJBuDt2N0bGFc/v0vpYNb 1tHNywaPzHqDGzLig8mkMzOwZA3eHk0lhj16mT6OzMrTyQkPr5OmXq/R80Qs WpIVRMSJTg7IwUV4x16Pwcnj5MEXE3fjok1NH5PHrZ7AEF/ajqwnOq/oFZH1 ucjCuDN49uQvS8eMrAchmxnTuE4SnYKoRLbPu+TQo2Oi1Py+sHL5R55BDkKx PdfMn/g9Nli+u+dthCot2HqO8xkAl5mBDosnz0XUuI3kB/aTmrK5b1OKzfkH PJj5rLPT6IUQ1jm+o+qi3qFSstVnYZhqqOejY9Br2u4vgjDcc3zAI1QXUg3R Pa+S/wvaEFau/qrMHrtrdHJXfVIijkQhE36lyO/kvDX21iR+GB0j31zhTj2W jWsQbK3DHPD3VfyGXZT7nMGjqbPTdL1gUQxcGX9/i99/h3M/n4uIqDfcqe+O MTlEjcsMiAz/nAAnFOgx96+4FOOZAdFw5PNP5h4jW295j0m3x22PPoBCIsrf qpS90SpoWfJ+a1LeT/G9jfcbrel2+cCFMpv6ZkW3jVYZ50X5SSjDUzR/jtRw vtGadLpHIutycz1A+1flQbteChpsHMEGfW/TIHirYi92VUGDaYAnBYEGz6Jg 5YvmJ6g8BjSn/0HLvGgea6uP4V3kOo6UgU0o/hrei34FSSnWeof11ug9PtLp iN6Tr+sv+whLXTay4Ffz8c3exYP8+Bbz0QdsCOaGm1Mjko2CDU8B7z/4HgNm Hup/QJ3b77ngksMKkUd+H1U/8APe0uXxEtm571O2kFqRp48/67AbrZcOi1sM OykZNjIbWRfFstywSUeGxu7A5wLEwJ/cfxWfMQT+hL2d7OxWFUPWdr88ZKKi fhOoOLWydQN3wJ5qLgT1Ay59OnB5pusNrFSVxj069+S24WX9j7wRgOXyJ0+j j4a+S/n760JMLQdk2CMI+ft7XI9R5btXcvwFrvH9h+AwslKxhV6YoTVKWmKK xOJQ/14gP2vff+h0HN38q2cYuf9B0hHSvILroxdge9aZ/Ce04QyKyTie44Bb NxZ6oxctmxO3l7YhPhyFwHWxwC2bZ6fUwFIrAl/HxrUgEIRPlt0hmYisb1jn L6b3XeuseA/AxGVtQ2phqDFuGEyVGc0YqBHFrJztKawyMZwY7u76y1LmEVKX ktLj1g0YFMa3suj5XmVHZXtCghpiCfHGvymG7QuFwGAdhLGIYgW0E+2fjI1D r57wCX8RwMYi691doNfMgKzhYPbADwa0Azt6L7IOGwnQZAb+uhIQdE9Az4Na 883Y7Inb/Q/wkod9pXTwmuxB/4N4AzSP/gciNWp9Y8NtEJ7O6O1w8FjYy5x0 OFI44kD8Ejjo2oFLXZR4sHUYnSG6JF3YB34wfsGlsrdxTfTcnBOo/4Gitgim axvXEsPgveHurv5HeImE/CsdPHoRNDhlOZxPok6dvkUGJ6deDxr8tjegKFtQ A0Q1Tben20fHbN6SE0X3Ky16teIaXICpvbdw5lnBmlh3116Z0WR1Idzs6QwQ NHoPbEDmmlpJrWRmvlJprBqzwbPO4M4uhGcYVh/+5LlfLD/cWxXGidsTt/vu cLi+Owu9C7372S9XGi5HbWLpx13qfiTg3fIj4bKw6IwP8RKCxurbwmIaYWZ8 SQcTHvO4dLBas1UGwagmOINwJlk7ZcaTv0bXyBOgCK7pf8BrdivNq5Z7PYBP W5Mx5Ux0DpUbSCbWJOCJRAkjtoQ/Yd5C4tCbeem/rzTeFWUOEDML4w/Lj/FO l+IIO7PQaytzxp5VfvpVRXhnULTpxVT5p78sTC21EjJMzSzzF4qfLPYDRwaT d41/Cbgt9Pmi6+Z8Tf+xPCW1AZ6kA67ldHBLt26k24VsN82zYsL3y41lnz1p mYci8lYP30QlLTeY8An6vZa2wRha5nGRnRgG09i68bmAmVWBg8FfLsvGCDH8 8aIQvlWxKN4gjK7cYLKC/4yX7eH5ROwwHdLyEtvlDypt0Rt0Y+GL7n/AwYxk 3i4/WFIQLjNAYoW3PbIevbdaaQxKYqDYxN3swX8v/1xRzwQB+FxYliIxz39L n5vo9JRD/3MZGu+7xVhFucfKMor2ZE/cJbmLLSv4m65fdIuUv5LHInImf+Ue Kz9/GEbcQ6sGJjz1wPlko6z2b1RaiW/Ee8QrZKf/W/mFuJFDAIu7GYIDQL77 tUrPfiNWGfGcZGO6vZ4D9ZydKgMoN9BHXUYNwAOTjRAt+w9/pdIYFEUMvnVl D96sY9B9UmGMH5JdXRhHiETXKSRcw7MDfrHSPlxzjbhEbNwMRiZfbjC571+S n+0BeVrmSQjxBoiyxLBYtj8fhEw2Ruu7k27ncLAnoCf9Vfn5/BjX4BgGlTPI 3Rkdg2y2poNWLmy0cTi1YElsXHtO+QIU5aMpUc5skKzxDnyl/LA/4VJ+g6a7 u6qU9kDu2bWfuWxcExvSzyD4MGygRGdqT9iUrYpqkCLmHx7GtewaTHVFye6R /geikP/r4sF/XZ7hU1Cq9L7IugxJBR/uytSeCh5demElfgD5IbWifIUKOfQ1 MbdrMKxxmfx5eUjH1H9BUoA9LdC8mmPvEQUSFq+DbIHEcN+djWvg6yY2mJlp mTd5BhxXBPgVH05S90RwD+a/EHK18l0wbqQhkL53lodEJFtb5bB0mDCI1tky LwPL+tOMMBTxk8XrCVDFzBWCW/NMPQbtastA+Dzer57QTY6lDO8sL/TCxBT7 1YMQno8KEMoivqqEDstHfQZ29wjVsoejxQB+Wpct0akmOnd4Vna7HIBvchlL hykw2rPRKkqXgWrjWhBUv+5SZsNdkz34aVx3dHM/KxtpGCNNxJFgoAboN+Be Jp28lRYA1LfivVGgqq1iQvh1owAaU+9TuFjUiRx7Nl7MH7sUCtGyeougqFH3 Av1OlwKSlz/Lys36bsG1r6Zc2/2dXXnSj7pFquxTQhH26TtR/AQm4emuqsyX JbuFXmXlh9cXxmE6K5uHc8P64de4KH5wGLQzfgw+2zhJjNNqFMkCXyqPzHNw Pu2peoXgp+y5p4z/0OXQxegILoc4NHXa0mIK08pSXkt2YB1G6xQ+0u6/Kw8f RK5ol5Ao9OZViTDxcO0HgwC0s2tw/WYPTNJORYYQU4agi+fSTa0qCxxZhEJj xRUAFL2jSthpWP2h/Y8Esz6qcImhe7OATyHBp4BPVZPcl2GrK3DFsNlI+UJc zyRqCEtY31l+Gsj67pA7yKQ3WhE4kJUTgeZd1qcQxkWW+Ji+e953JzLbdn9p GxuWXYOAqc4eiA0AEVMEXlzXWn4Qw4DMVG2T/kdys6Oby1hWOQhlLRBeCLnn mRkhcOOLZRimr3hjIThFHniqwBWlp5b5s9OC7WQYA9xQtpTSBxlYgngVLF9E aMLwJUFJFZB6i4f+QtHzZRfAghZ6OcAlpq4MgMhreOMa4iRQPqEalx+gQbEd 9sD0MUnsMApTtdIAiIjYdOzNd3d9f47BnZQ+/e3mISBa1yTbmkjGF8rZ6jHG 3KoRWwN+I+m1xONaNIYmW4327Ow+r7jO4He5EWQGv6v3QNOwrMufjkweMl/8 sLM7Oia7XPN0I8E7Gjo7hUVXeaBvV+xGklXSMQE0BiAqDCRY+zzYpxGn7/CN +3t4b+JrH6w0LvKobeAXdE6yirb7DNxtl4wFMJwOoRx43/F+UP618R75C34A hEpWlCD7Hwj7NRPPG/R+AHCTjYRBERznGtRX8RYMAIPNJsORalWLN6g8i4MW hhSCZ/0OXW0sUN+tLwYNFON7DnR0s3Agb1u3biA8XXkgZIh4/P41jMPQQvRC aObc6qk0DnQ1G8wnMZxu37l0IBFXawUDwQavyR4w0dbNrk1nRAoYxhFvkNXM eUagUEDyyJgvucyhA8LivrPTuWaTanYYxRfWH10KB12GOTjkWYCjeuI2lAh5 4pP9rGGP8BAHOoMw8RqIJqwLsngEcD5cpjBfDgbNpaAHuGW+/0FiOOk0e0DI OAvctMfw56tWI2ZJq5i7N4p3oAgWLEhYyVZYRhOtORsiCUZ6Ke2CFyJ/RPNj 3HNQkSgDMSC59Z2+zRGVSXhQCA+I5R5wMwCYKuGDjIXK7mBCYfIdi1m2+C0M XejwOgyYIHho9aGmgpM+mnI6ZDGr9AdoBUvbL/mg+lmBSlMQw0Y5hbNzsBKW NucvFktzxsuCs2IC5x8XwvMRj4HJH5MQIGVh7roUWOBY05mmInCoU0E0hRCu d3P6LnSYIicDEtiNpRtvwKtRMQMZm8xtQyxjaZFP+aMA0LJrqT2ZrokSpvbM Noq2GgdLzEEmYP8UZr2f1WEEFbiiSKyGNyREsBEPCEFDc01cFI4RUXyLYO7Y miy1zjV/Ll0f0wkwG8+o8kFCgxtkci/9EkNmhVxcW1XdzAzzlI33t4q4ZDza wtw5A/BsDMEf9x9GL/ASFmSmh0/xhm9TBhYXMrC6K6EGalmG6mw3HyON+SeE H6qRjsQcvJP9h5+v6LnEPqyeIGEe2cz+aB8UTYS9+AHOP7AgapMLvUN1eInK xB+XtvFpa7JZp0APQ8Up0B3hBXiFT3ITtFzB+madC9kY5wLPFuayca3vVtFc bup9TKMP4T9UBxlW5/f69t3JZZpaloeJl8z0ewDj6glGjzcI/+26dELQlvES gWErYFQqYJTayAVwOrTyx4Hq0rIJ9JFLY6uPNwtnRRsF2TCeFYvsc/+s5Jcm 0N1gbsM0vXoxVy1iZwacQbxsugAqzj67BqBz5UOcwQFnb5gKrHYze0oezv4V 0ahkVUKATD5/u28xGKydPm7ZNAFUZujIv/SWaL0H5mXKcVo2tyatohWA9XgV Ke6ySmsoBoOn4jDasim74WesNFTT9czbNbkPyO718MmbryH+uYgQF5x2OtSU twRVwrE988Xk07Vs4kUrW+6DR5vSy2jk7ytGBSyGlQ+V+RcD0j28s9zdNReZ i8hC0kuf2ps+FqvDpEKLTfS4mKnTfp64m8vxC+kaeHUOYLeqMWElhFOqwr2c z980yV+2d42nlBeuiqjO08eCGPITgTEh5Y9za9aUcwIqzcYKnLi65Q6jCIcy oA2vShjvweoDVqMmM4PgB0i8LS2D0IGd2nM64Pq5E7AMKPcKWoajm6xToYba ltbcD+PJoycj7FsHIwwn7h5GD6P84ewUb62qw6ipWeCAn1RCPozCToLCfhj9 QOCkTQqDKXBjVaLgd1X2gLmmXvq2iJ9qZj8o4lT7luJFxV0rJuivBU0HuApR J3/S1ucDFkTL+AoWxGQw8pqEUX8gGeQjNXCQsmBa3sA5rzwX4FH10dTOsjOY 6JzOmAIK42DiwEjj8dgJraJHBbkkNAfB5naWs2vA4itnT3aWkWoIhMcYqZWd 5Y2A2SUbg7F+P8vvc1jvt93yU3MGBcCKU4Pl66Cabq4Z2Xx41NKiccktLab2 8tOTn1jDkhlYWhRpVDI9UT4tmIOcnjp9VINFJBJgBUyvBnnMoz1a4wr8w0OR muQWiq2AqVXEQOCEOtE3Whd65X2xM0u4MP0hz/lmQVP67FRN6av+WSCeAEMz MxC9CJqFcsW4HW9ghrG/YPPZZmGyqm2lOywe3U/P+dDNJLYi5SdfcSHX1Plm 0qTXs4K5RlchemFqPm1NgYve2yjVHmpQbIYyJtfdfyhsOGdMyD2XA989whoB WiWpvUSnXszKt6vFE0h0QlYrcENN+KTX+CcAvmi2yEZSI5SjjfLqWwCAeccm ATyMJjpRoYaBk43IyNiaxBqLlVMCoN+fjUQa4U1w8gtMnqFEGA+vOx3CVBmA T7cDxtGeP3wmGPOuTQMjvTeqfPU4g/EGU0TsnrNm+eJKBUhZnel0xO3qQtc7 uYTxAJpcAWDBxO3PPROo+f1m7GtpG8ad8ryW+b47Zu+JkEJEtWUA5QT6H0Rm tWw5BH0DeqXc1ka+s0YnAHFVRePW5Hop0VULfRzj10Rnul6rn8aZ85CjOFnK ipOYkMFl+71oJGGcuAutRbfdDzsyo12TrlKcpukBPtREu8lTqeRBkEv/JgB0 FMxMZ4B608dcMnjOXL8Oc1wZdCYZuuc0H83GT2fiDZkB44kjnyOAyEN0Xa+K vQRwpATBZXHf+94Yf1QSkdGFvPh/GzCF7i7VdRGkNAo1U5AvE0gdwlPzjnyE Gs6eQNbL5VZ3F0BwIEioMvDLoTqnGF4wW8/D6XQUFCah9ixgxWtUGXBduI6g nbl5BcFvzP5d8UIjMh5G7Q/+UCa5NQl+VL202D0SvRiqa7vfPQJEr57OdI9s TXaPJJ3+R7U+gJt1Q4iZEEg2gEfU/g9eRygn8YXJhKVZrT5w5tQIvVeh2YO6 6EB9/Ggi1U4xqFuTlCzUnOF/RIOGtVJQw0uL6ioRIqkyJdvTGRY75DBAdr4E Ugbxd3ZpzREnoYHDM4AaYJjKrumzYWB6L2fWylybADBCyEvb2eWjqnVlRZOI WLGcXSQaTAkQE6TuGacDdYhEnK68Chm9IAfwA5EkzbZDnFKfGfz9Qkj+BRZE 3Rrg5wVGmRkcKdYFg5NdmgYd+fqzzEzg4DWa2czU25joXquF4w8gsteUU5L9 KgdSr2pWT7YmVf9e2jbRzeqdXQ2uyH4/fm+ZBcrDaJRFwth3hxamH8aXyUVO vCpRqHBkTezroLAjeUH9GL9XOcZVu7Pbd2vrxtJ23y3hMCL04IkhxxnBU/tu rZ7sLJeDGNk0pRBDnSyC+F3Ew2UrZnpnCPJC6/EiBLlKQboqrFi6fqUE+V6A p88YSg3eJOQ7TmJpe6MVv0zcZUltzEwi3D0CIsW3VmcQbVTDy4liGghLeTpE w+F1ATJRvNwmjSrXScE1CY5IzbGso6nfDaAWaLHCi+He9QoMqvHeWP+5WRjH vlderQaZlnubWZA/WflZ5J39rypOT2eExp0ybgAzAVK7mUCuOtSGlRWZ3dn9 nUByb5kXdcmYrNMZIayXnh5o2eMCoPPBASZAHd08vC4rXo1VD3DkEGgKK8+9 Ug/NQZVz+vl6rGCYOTctdi+S85fD3Ha/EOZgj1un3siHU3HSPD0WQZYazBd5 1l8sXYSdF+DvdIb4C+OvzM4X0aB7Tu7wsg84EitukoW1laa0CVAQcJFZhpFN yhhdGrnVksGROIEeIJN4Cb0DE15QjgFd/uwUwLbMb1yDzPaAFdZbAuy4otpQ 01Bd3HbAPY2A9BPau10qMFgKta/MLLQwUBOue38rYBam0NXseaFY1FwRMOzq uL20uLTd3dV3a3QMGszzqydL2yRGcuqNaxgZnBrjiiw3s4isb0369HBVg61a i6lUnGLJJEyymCqbNnNtwr4JVRtWF0OO91LphEQVFFPEzq4ZXklXil/OsP5b w8Hq1g2jgRZsYmFlzFaUBTkvxJxEp2xgoEC2cbHrLvRWIQ3eMJC3FQbNXi6e FtF0W+t04PGSNfpsgCt56wZpg+YRpHXAREJtaYTGdZvxWFExz59TXOAN7w9E fSMwSVcLvRTkb78UZpZcRnSJsYurjxcLgf6YS8+7cEt5ybyqhM2USHr577ab M5PPnny0Em0SwK1JvkemhSyUl7j2bvPTlAeg7BnEYoQ7OrA1idYsQk6/WaoA eflz7/Rgkr38jC440/ZLQPLzL0ZrYU2KFvWb5fWD22afY/L5Y/o8+nvzSvDZ qWCzcdMONRH2d/jGYbSSVquVrv9MAHZkBphWxfuF9V6XQf0CBrnb1dm1w+t4 ngip5Y8Vz8qIP6aIVIkmWo3Q3VwEpDHX7AeF3uPVE1ovtbp3zGYY+0wA+WXX wMsm7qKDSQgOKkECIpGYHV2ADHyxZqMVchT4NReRVS+J9L6q2zF9jD41Lo04 kFm6/vB6ZNYP23cpGrTdN32ABJ1pIYZ1mxhYYe4vAufYtNsBMKfru0dkA841 vDlzeF3Dm0z9M4kfv+zSBdh2H/uYGJblXitN5vOrdiXautNRojATeJN0RoCN J65aiY9WKjUlVh41uecLgQycPFIbo83nPetsiiHrPe+xBiu2s/zDhp8Ne35k PzsoATlAx/eDTDBNzSHB77tFtwnlD6hb2H0QxJWkusfXRNJ1iGrxI8juns0F uz/hA5ns6KlBRn8VOPXxXvUFr84NqOye/1oAnCjk9FZ2OlMo4BVOYfol2QCv 6iWrjz2QLjHZWBOhnsu+O7cCwDi87pfQ9DiVglGt/IaoEEzpnimLFjptaYCk zRL81PS9LnUZPgV50zZcIvD0fjqIatqpvt8EpjEBSKgmx4FEGhLxwKNE0J56 gvYUhocI2hIYjWMAtgL9dDYghBn5HT742hT78nFDg/xGy17aFqyk1xCEBNvo VwMY5+F1hpzCGgCh/eQXq9B4BIoatLkyGk+PzM6wKHbOIsA/jURqrz8Vn/4c 0lNG/BFK4GP3iJiTYfMTDHO30JfRpvPI+bIK5mQkEuMDcBoIc/7VUqEr79EF C1pibgj/lKiK6jXoleUxLvbn4VwoLIbqnI5EJ0qqnY7iqFENPJZOhzxf2Ijs c22lCZiAGFFSmDwUME6AvfvucYHLSM0S/4fJ8oW/sDQwstDLHlGBBelFcNXp NrWlRXN8wUNslNv/cgliXwVbMR9zbEm2sAS2T+tc+255hQiIU8vN1YpkDGlU hG0uQk8ts36182h2ba4UHirLRWxSNIlgePye4JZNujnKeYKB+EhaoYZROq5V i2w9ZIuhr4RYnFE0AUPqgMHvAD9f3mdaLuu+Vhctuya8AwkxqDIx8LCWSjQ8 SK21Xwo0Txl0fXclhKmU7W9v3egeSTYONRXFHDpIaZN5OWayUYgoS9vofHE0 NVveXn7NAAnXTDb23SouP/he18hYD9GdQdp1yMOAkQKn7MovBsAz2kOEysEj xPfU8GgMZCbeIPpgtSZKMcXB+PV8DXlzHIoVgPCVRdbd818IVE3oL8zBI9w/ 2M2aXTs7lR+ds1PV1Wai92DIkHrOTknxdWWw+D0upTMXSHWoHib3qnLSwMSK ax4A8hcEZ9yGBw/D59hnAHKLOTHuU5qWFpmSQccR6433dA3L1CSEELGuwBHM PLjIb3OZTgchtrQoFPdzwcRgecM/jeOdXoSNaww8pGshLIhJw2LLAhvZC6hx tAeBAdjZDG+gAhm5aauPu0fg7XDKwMtwNOgWQcuZAGCzB5RPDuSThijywIpV UAJsLr5I9f+cSOGeo4AjMSxAVJkeR8hLUFKqQhs5QCCjntcWgim/Nbq5lMKj qZly8metDCBtaeqBlGGGRBt8Q0AGMRsQ4P7spcIt3iACvcSsfK+XyKOuHcoT VDiI5vFNSmbRe3A6TJcqNDb49PTx0jZv2llminVT6cDsIxc0sGpvxrcCB19M 1Ayk87GjFGzHTwWE1ZAGSgwUnm8avVFFzo0sjCQ4/KPlL6qAGdXJ7wVqV45A 68d4ftDVxQT9YswnJnSUN4uZmakA6ND3C5+cQRP004y0As05mBeBEgAd0hK1 L0KBXW6gQ8cXhS61x7ozQmf8P8wcBHkhYeZnKkbP0Av+6aNnxixmRVRYtx7d GldPAtaPLia1BJ8gSTrRWRmSkjgeiCaMVDYW6z8CNLTFjKT022LoJ6kSLbVS YuAYeJKNAhOWX9g7gkNzkZ9+dnhCpitSFbneV3V9wMTKOLcCzEHm/EOxkQ1k oR/QWCuLA5hs3y3Tw5oxO4SK0u3Ri5yZA1DkuWGv2Bxd1lJ758X7NqFoj16e xuk2TpYSCJeYaYBL7CsWRY1PBgCWmRkdO5pSwPYfwoe4tIirc4B5/YYXxtHk LtHJRH0xaBaFYAZOy+CVLOSA1/KQiU2JYvjOTmlGfquiFVxH08evBoQY6dpC ov1ugVMKOBtOraBudGcX2RQgtLb73V14ydgPiwF7BV7JmDy+hv8PDNHQPQXH jOt6/Xh5zbfoeybNFME4QKnwTh9k6LmC5CvYKAa/kIpnNMH/oXDRo+HBhV6K NtqLoqChSv5XE5mFNzZ60TKfRNGIwMiue8AvAROZuV69klFU4OLRjDStkDya +mQhnCxGPryuRRt0vS70YsB4A9tLDNXtZ/ezqb2jIHyzNVdYU+TCXuMv0UwS hZ5ekufOLpdPtbsYKFyXMrUyfSzExSph+uvqrCIQaRcjG9XLizWumibl0MyF irxReRX6/w7VcdPRAxIvQZD/Wgx9Uc3JP1Uizavnxv6oVaRlKRQRMruGfJ6k Mx5g9O8s08/J5zqDLfMigwkh8/kFAb5JH4As5P2saQmCevnRnootj1gosTUZ mdXWvrlyAj4OBClS7PwTgUnSViwyi6s1VRIbYFkFxMIOSqm9yCxe2qrolqap /7nH9+SqXB4zKkdMjNdPHfQPQJVyKZcIiNmisQDGgpIANzB1mY2Cc+JTrIc4 E/RFUN5S3oesWwBhRPqe57przYuLCvnW36soRrZIzxxCavBEU5hiSJw68VOB cbg8mH6Qt24UuuyEx7MWNHuw+hgvLmn0HkogRsf+NIDzqAHjNW6GoQObyVc0 UgK/33Wzsxu9J9fWKWKhfCUz8C0eLMKxg6ZiJF25BGG/btBIGy3MQFpJi6dy KbTfWQlgkNL+Q7XqtIIpblel9mgFQy7FG9LtPxlkPTUEowx6nLqFGtc70XEH skjwuqST01MDPTpGjcvwgsSwMKU36ntt6AoAzYkduRDbxG0rAPaadH3L5sJ4 YVIv0hKEffs16HdxDTJ4fPTCpiT9YwU/eiG3PTX4rMZIrTAw/yYBB40YTHqT DI3jKfzZTrSt0bVlNICB6HkxyUb0Y8CaI6leMDzHQITxwu6G24/SFoWsaKvR 9XkFPO/8CwCcbbn9gH9coyFhrTOQH0xLfFObUgQgA4HuOf3NVi7LuKewGEb0 qjZW/Wm1pRoEfxiIFOi27ZpcY7RfUFmpc/UBKEI0rMvHKkPYFzXK6pCnzVtG yptnHfqEkFHlqmic/H4gPENN/vThtvuQaxAkQu5+b7VcGxatsVZrfQSmRjBJ uYxNPu2Juz9cHhqYZWHE3PDSpoMofvUqh5cD4UL7ddlVwpXoVAMIpl28oQAu JjgaAsH3YXjlEc/Tsyhsy2vkAgHYMr8wDowrBygbh6ZWjqaOplo2TY8uvc/0 0oKNlofRRhoydFz2/I3eS3QaHod4odia2TV40X39gI0nmiRD7BTrEZ5Lv5Ff zkFFBFEs5MREjLrsHKACS9aTSR6wRzBCuHBkk8ucGcDre8qsgOAV+gPY0D/x AkPODNwu3p5xZbCIh3r8iW03cyU/8gv8tNUoXYV+MnF3o9XvhNfWC7c5xaed OvI+aMDiyeHDqHawFBHNWWtW1UYrP+iS6EkDuepELtbZE/RgYlvkkPIT/Sy4 /lJ5rOARQUNNOiIQaqP1VvGaIKlZzEav84hhPbTXMEMHcZqF8a3J1AqqIhd6 TanH6mPvEIinWY7Vx4ysfyfnJSwSxrJKuEnoAGdPbAOFrw7Uzgz03ZINuMYF 4AkgFlV/LoDWGTJpwC5s6FllPiJpwjwqrB20+h8hc0FxTz/LGteVX76PGqC0 sQt5Uf+jkk5pP+/mFU5alRut7B3gdz1eqbRQaPIp/17XObP69gbLWXGEncdw L5k/ZmBS0KrMR+QNevOHG5t3Z/RurzTRrIfIIzSh0aW21aF0dPM3fEvR7zKf Ax3P0u2onKTS9kvFa8EOu2enqRXBy5J0fqeD0VgSm+mQCavd1I9OH/v9mj+n HAG65342SX0l15PYWFKJTrx4LB2r4fWzd1aQ5mzokU22Zjf7ZiT7johxuP+R 3mXqvcRgRg85ee15fd2cDs/d/CntaBeCB1CmVDI9lLl604PTQBTyKm/bZd39 206UObpJ2md9/v7DhXHPmbS0iBabh9cJuRrCPshl3+npnGvGVfEGw+sXxvEq 6QnHzlnpevT5U4Y3VLezK0tUriaEB/8s9Gq2BQCv0S6jXgnLh9y8zGJzUJp6 jasn8kMVupEu9O7sOh3JxsPrxYSlDpMBglKDRxofq18x/ThZ25SqSkANmVuy 8dXiWRk/iUeU9EDjUSVVT2ZWrCnUonfMqTjQ80GPW4mlyBYRUITkwg/pI/KN 0g2UVwsndsPbWPljA2vDeBK+W15RBPH0q/HiGb3isqtkGNlS8CzIJL6x0mSA FkdT3mRyCpPnSIaR7XW/hxvZNc0+QBTaGjNXYkAuhQB/6cQ+ongWb0g6/Q9q lVySDuoZBVT/7Ng2DpUMSccZ1H6SOfH9EzrVeIOIi7z6ISKld6F3afFNZYiI fYUXepONmKK/D5I/NVQPFhxnzKlFmSdymybuflDnRy5s+nxTzF8p7UQRAg0d 3VTUQdtw4QS5qcngIKAwSgLxgh0NchPKu4vXj+vcovcKjA/Dhul7QJ1f9MJU 2SSG8x27dGZBU0Nxo3aRzQzA5TvURHMFAVA3l25OQRI0naMp6ujP63Ty5jGZ 3k0yNbE4oCYmHa+duCHEHylGSo0SrGkxsGXlYkYA2kFWJNpDQw9EQtcVZWNK Bb5ZIWOLJypMZ9xzpkGaaFWFmfhl8Cxxq0ub95LZnT2BJuiel+R9kS1oxw5B 1QcmbnCDtn/10nb/A6T9AJev6uqQZv2wflhXkM6Plw1IRtPvfHbIMXMR26p8 aSMjNDBH90707yzNbzRsDd4Xz6reuCY4h4IcpLIZ/UZPl7tJKGuLoYcSK8Id eaMIM6Jb1dj7ng52NHmC3mQKwEgRW5P9j9ACTqfFaCkJCrkIgsBXfdNlh7r9 LCbXPWL8ZKpi/YAXsaDzsyBiwXaF5nREJrmWc8WDxu3sGn4ZHXvKzegzbi7j tiEaCBbhQFErsm6O3jI1o8yuyR4AyRDzYGvaWm92gr7o1BNGq2m8gFuWpYnV 8ltVZN10MGK/WV+oYW2oKTNTNgTyfh+ROsqy+B6bR3de9wiaIVv//Bno39gd tj4u3iDLR6eMGDObbq4SnKWU5lgjn3jb5kb6G/5/Vtmf9tKVqXJfd3ZVSSpp 6WEQmFqeOfW1JL5CZIRx5WqGha1+hMzAexVkRufty2ZZ2syKjSFQnyOQ8/bR HmY9GBMlnwcYMEv0gQvv7EKhmrgtHJGznGtm0+j2wKobRGk6c1GanpIoDWdJ aRtRIlkYp7lMD5Yen9qWNjMuFMMyhavPMGP0TvIWzBT4XC0zSxRXCu9HH/zR HqbetWxqC2iZSEfxLCv4iN/v5vUiv/efCSawrWUJMbcavQYNu2hp1D3DvAxZ Xjov+Vv32IQnpky0qF2nVBQtasSYVEL5PrKef29YvX+qH/FNDwms7EWEjlJJ o+9GLzau4Qml+m5gEzLRL8pNr5ocaK3t/v5DHP88OiYrBiIKH0axYZz2hktb VndNdEUi6tI2tjTd/t3FW2jyY/L+GxMyfql4gmenC71en2EQjWvURZ5KekcV E7FQoH2+IZDnkLpovEzcVRUsUnmWieGFXrlodqHXMKLcOTsyS0R2xApQnYun wFhQ35U8xTJ7uXii/lAQAy0wjkVskdr0KOvE8A8EaktMY6DV07KZGYDenBje aH1DBehD6AwqKFGV2qNOjLbjwD4BfMtlvBi8UY9LCMdtZZ0C9TsD+YjxG7zL N4MuHSQns8RM4UF5puEPfQVsAIcT25DkJCP3lU6uVo810xPLYbPnW6yBKA6j nKQzyP4RxqmDkZRzo6Gidzw1c8aeWP/JpS8UIg9iUpHvaAoCUVN7CgQgdW8o MCj6d3wHtfjZJHvDoOuoPB5iii3bEJQXWvHcWv0PCOGHS2dYrS1t55o3rg3V 4UfHO/UMPc/Acp5zi0QfjuT0RB9aHwg7yU1RONefKAzqG0IlEUacuM3zFUQF awhQZEoKqrq7KIFLpmlyiDHNGqOkWvEGUanONR3D+P5WekuNMFkiHGqptu5o D2WqltDfjN4TwsEUHPTU7n90dtr/qC3d/0hb3NZgjkDsids4uqngPB2cfWLj oJuNa/0PwrSGC886KXac1uA4OLByyDIUhcJJi4o20TcRZI+sV/mM6vd5cxaM 4ol2uBuGmzn5DM3ijUJLXxfydGRte0tsa5iHBc5J9FRxVT+tlpndhY8GfmNW 1WODgd5CopP+2X6ZIByoF1mo2WZo+S2BLNOfuZLoDCrL+nF1sdleHMZ/yBnX DnYkNEMRG9WplY1WHgC7cvbkAwFMyGiAgSabQM4ymulj5SPqeQOOqgomyPOm wDlkD4glplsxTWRUbiF2geUxoRq43pXTKFzh7i7lujIfxr3RxgdBhLBitrez ASKAyQpkKVDCXKP0sdlms4UltHG468RdE52YzmCYsyffqNAXmdDGBOGSmL52 /lS/TxhviVbQeygFeeyR5ps8lLJyhXsEMAB2GzH/ZGO6niU+cFChWjLnAxA7 AHkdYRx7hpeRRzbO/Ug2bt14XidQ6N8ImUMmuR4muvI23wQ+ZVy0+RIFW49o 4KF3cOrgV9MA7L2FMP+A6/P+mihCCH0vcA3+M0uQW3/57X8anLQsk3th8PhK Me68okiYbASiwYtjCI/mke8UJbjK/HoSPS77D1nD35qPXRWFeHCuFvbEKT+7 HzT7iDN+dUJUzQy8/sj731DA3MQutKXNEVKA7mgqXDyrTyosCG2RW+G49RoP eRBZE6FVMhtjSWE2C+OBszE+P/9stANAPVWVu0XBqo8pcWQP4EReGG/2zeVU GaQ6cXFQCh4bt1XjAfFiNpgFM6jAbGgoqPczDNaClzCbRJlZQGcIZ2bMde0K v8YbS+EvCDwJKZDzePXcc8362Tsu0fjk317GDyKwnLvUwjAyj7CzwtATEObw POtfKIbaGMLvU4pg6LDaYsoQg9emKx9DSrozrdpFHz2DlV3qZ1Mhz878OMzW fg2hkcqBBNm8r/IcT5KVUffHiifFGOxhNG579IdGAvId5Q8yqsHNvh6wabJo FUR7OdiWFTYucsjH5lE9rWFJ4X1lg496wt8uPp2dagyztRwYmoQkv3+iGAYx wBH5YkE52hW+rPSgqqZM8g1lsCufnJtXPP3PpQffMFl0VA2759gDBDNp4Thw sELYdHclOmHWlQsGCr6WZAGjc7/wVK9UwajQlJ3AM/wU0DOHzbWhpcg6wA9v 41gZZCI16z5EL8xmUxRBPbx66eTzMLGCDEZT3B5qQgKkP3jNpihg3vvZvjst m323aovgQmOxGDoAEjAkDqF2m4aL8bYp5W0HhUGepoAsuCTDf6KpORfRX5LB TUR0Q/j3h7zUOc1ma3rNoOW9Ap9WGkSg2fidupiXWK0bxcr2ctUiPJMARCj2 So/uGTjb1o2XSgFrma8AmDCqy0uETGykXCEZgUnXiwC5q2ummKXmPoqpofy5 1K6STqk7xn+qy+WwmFhuOVg+rA9jX2/AYtMt1Lkwzh07e3I0JRfyRJboRWpP SLdCFP6pa6fwvmahF6dKozUwTjG3imrMzIbR+0i46FDucc+/Q5+JPESl5Mi6 GFEHTwFXnvNcAhdcEji0BUc7BsI1F6Gs5nut3leFR6xZ2yAhY0KjY5cxhRIr tRJoHv35z9qGMMJH0+XhcxyaNdr9DxLPSHRy1+Vb2JbOpxYZePydNpmQxvMK TXjuGcYXlvPU/Ig4bNqj+/tj0gpHEbGIPCYaQRK33c8MUG1Em2sc5uWqu+lu XP7/rNzR4Xn3x6snyM+GR439RJKNc81CLTdXTwoCVX63JEiNaQJI3Qc4EGrM HV/anrjdMp/auxyH8zVJFCCpvf0smkLiPFZa1UiZSwyjGUCh0PDDwY4cAF1I HmDUHE3tZ5e2k47TsZ8VVfO5MlCIJVGxJItqs9i5MfmPcknPaHTP3/MMK+x/ IIu10FIaFEaujf2LzKZW2gLS/nd2sdXZg4qPvKlj+1VoJKnONcNVTs9OovNo 6nrJ46lvGRMrXWkAFOV6hx/gcBM+V/ujZde+OwBstMiGfylXERykayPiK9ZD 9AKBLO15y4JTE7pnEDrdziOuVr77Na42zyUTy3BFORhnbPw+qCiwVSveWf6u 1/j8jxe5YqpRMGY6yzBoiEzHyOxG67u/hgEyM8JoaIGYnP13K0OEEXN4vfU1 PhlfhJcWtVm6Z6pAm4heUJcW6zYXORMGUG4YEfJvU/aEqkvPMUg3MVnb0RQX 36RdHd0UIjO6Kjt1mevzdfKpPfmkRy+wAZA2zULJuenLLZeem06Ee9RITLUw qjZSK+ZIj9xBFchKvYmnQKGqBjPjM06PblZ7EGmrXET2cWW6vqpwCmLwhnzf UEb4O9XrM00Z4AoVtn/iob2X9Opfd2Z2TR8zRd6XaJta0TRfIasXifn12oPn 5fLby3U3YsQ0jaBYNapsri9CrZ693jI/1yyrPsUE/5DhPIPTGV20Wu2Igcba SLTLHUJCz0Xcnj4W/Ren4lSj0A6gCHixK8p1+x8gwUtI3p5rTu3B4407a3BS TmR2+ri7q/+B3GkypVs2R3vQyxE6hqq5phkdVvBK9mCuGQU308fTGVR/YwnU yltGFef+Q9MZlrnXHGVpca55OgN+M9eMVnj4Hnlh3p4gcpzfk2BamC3rNLLh 0G5L7z807aUY1X1BN0hPE3vX020QJ4EtjYtp49+hXDd85Hqi2lEP7NKZ1kKL Pbyeboctd3aKXFi9qO8WjMeNVlx0BcdNHEZBZ+jQAGmcmeFjsUeuWoBXZIVj h1EqpwfI84Go5IEW2YNE58Rt4KMWG4byX4JIdaewUXb0Aq4O7bl/pe1+W/ow CppMtx9GNRRisl2j97ZuZA88KjabxemgschhFG6Uw+jCOJZCr3nWDbtltiqG FxAP4OGYeStGr4FpoU82wJX3vEphrTbA9THEEmRLw6wDrOYPb3m6zeQ8WVXY yN6YJftpjkRUqoyR4nLZmHnOyFLR3DXybFM+k1cukXfrHSDk20x5n8vHqNEI E7aV1b4kM1Qh8jutANYOSSO554a1BHFp22viCD3Ze57uF+olqFnZRXuIvYp5 c4ASIPN/6j3EgQio/zeaPSsrVk/yDbTPTlkGOsJJ5JOOXZzFQIvFmBVUc8wB BQcBfjVRJNhswKs1ZdMbU3LBA5ECd1nM0pJdhvKJDqiWVXmXDV+tuMuGrT71 LsuoMSNmqr1dRm8G7Z9yydYaqhB7ou2+bGO5rc19ZybNwTBdfIctrS7dz3zZ UFGVJkjUSe2hwFgdpDgfTJaaBzHkE8SRZTzUBI9XwNbZ6nY0Xm+fzzEnLIP9 BuP/eHuH8yfEii63d7VKMfkDnby9w3eV9q5aW7KrRRnyLhTl6/XcvHzzqqLN +w+umz+aUcPwa97xDiH0YfZvYGYGh76k659tk4LYaLIRXJox3ddrk8hK0BsF vUyrKuySiAUcWXD2JPS020SVY/8h3Pk4ZyPpaLkUQirRe8iJeR13Klj0IREi d5Ilz9vCyWjCHx3aT07lpa/W8V0XXes5ax3TdbHuoa9h0algo0MeDLpiDYTZ j21pPTzN0zw8GnEqrHUIZ+bKGlb5voeolqd8fZd5xzX5Vmi5yEOx0M7A9EcR DEAqylBdZB2HtOG7p1z0ZCMXfS7iDKJE+mtd9NoyyB3x43P/o/L4XOXjMv7v r3zd8ZgLnD3Qs0n9C4xH1qKfxcY1LNH+Q2SfaIgq2MN3y7/IUMt3dsmWQCK6 xNbXssb8fi7CTIxQBWYS6rtD84vLlFfKPNiFOI7zKlnFPRAFP2YOUERvuTvm ARX3A/aiPM/Y2fGGhd68ViYTLNLKSory/Tuzy0mcA7qk86ainfH8nUXiqZzv 07czKLr6OuwMYIDXpdLOILLnLS4WxLRzCRmVWb9/4Azmvq9MKITB6cgfnLr6 GLLQk1/sQ2u6DwSr0OZwwbwKrV1cWM/knUpOJ7MM+G1KRPk+D/6t+qLLeDM9 fHCnvNG3WyY1Y+KuiGV/H8lLhLPZLZyIrlVgYYQCMwOBu1WruwXDE3pD3r0T sFtE15bNoTr6TmItm8YN4d8pB0cKRta3biAbN97Qssmb9rMtm9CEJ+7iK1Ub 4CWGle5ZH/5tMtnBmoaexlHBnjqB52j/wrb7AkqTPkud3jvLJsJc4F7o7koM 9z9A9mzLptfRF9uEicrTbG1yk+hsqMTrkNlnawLIYbRkj0yC8jPsUdhwX4+y wxrMyG/R2en0sfEK1abbp4+huuFQRyCXDKUmEr5/YtBkbfrYHFRg497p44Xe sG9vWDyMrmJ4yYVaITXOT3t0EyG/ClEAdIDBjRutTKfm++njfGe+6WMwdXUt LfTqA82BZ4LIyHodHTPZHj4vGUJPeq2u0mTu4TZ8P5hsxQ34U49zyQK9fusf t+VSrj8OdzLr/7yPcb3Zt4Qv+hjLiz7mUJL77oebbkweYRlzz18oAtzWFJoS UyEQcsF7QG4SJBKd3EF1diWGvc6ssTIw55gnzjhyTVclgT/mMTfT7fU9Opd8 k3P/XP7MNaEinNETKZrLFcwFp4nqYaHwM+0/LDcXswtmLqM9nMt+FpplYvgl H/xv83GGmI+y31Npzb+kuM1eMwPPF8FZq8iytL3QO9oTWUd7j8u0P/QkFnNY JdH+w6VFAfslxWL4QfWanV2WnsT0XnqUKwK57yG0wFMMY1hhpEeo6uy0gkUQ nMGBk/jQmGjjmhpGBRkcOFfI6UBuRrq+tgggG4YRPJxv8EFklAYmQJYLS+Z7 guYPWWBY8uy07X7/g7nI/kPoiTu7RgqjVT6p30Ed3VATai1VpfYnuxwojuB4 lsMoYK3JruG0ZBwS4AcNEXgPvZkYVQ7vtJVqSf87E85l6WTF9JLVk5JUhS+7 JqYYR6hIYcRUUc+ah/HsCRJmPH3Ea4r4rCkLLBy3c2xo0QOQW8NnQ08SsvYD iDZTyMyxnI7smmN4wBqO/MPoptcUpXT2AKXX7LoCnbwCVVwekDddi402S4Uw r0poCjcPG7LZOvQv8N40bbuK9+h3Iv85h9dlL+T/X3NyRw4QWRFbmWViWHWg fwh6dr41cz64XenZtdqRAJmHS4um1WK4zLPzbajzIetKz7Z1AV09693keMtF f4+PpurInMYBrpeZ+TvgccVVQY6ytypnTxKdsj3yFLnsf1tWLn/6Fe9WWHl1 SSe7Rhwb7fETBx0AcvWvyr1L2xM+cgrO1jLnoKrK18XSCpd/f5tjXxO3cbIp kjDjNvMHUEzRdv/sSdJRm8x1v+qaDDocpGOST6+Yj6Ye2fdU1/v7lf8fn6xv +H96EBGb\ \>"]] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"PlotMutualActivationResponse", "[", "SignalAmplitude_", "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{"tEnd", "=", "50"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"SRule", "=", RowBox[{"S", "\[Rule]", RowBox[{"SignalAmplitude", "*", " ", RowBox[{"UnitStep", "[", RowBox[{"t", "-", "5"}], "]"}], "*", RowBox[{"(", RowBox[{"1", "-", RowBox[{"UnitStep", "[", RowBox[{"t", "-", "15"}], "]"}]}], ")"}]}]}]}], ";", "\[IndentingNewLine]", RowBox[{"AllParamRules", "=", RowBox[{"Join", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "3", "]"}], "\[Rule]", " ", RowBox[{"1", "*", "10"}]}], ",", " ", RowBox[{ RowBox[{"k", "[", "4", "]"}], "\[Rule]", " ", RowBox[{"0.2", "*", "10"}]}], ",", " ", RowBox[{ RowBox[{"J", "[", "3", "]"}], "\[Rule]", " ", "0.05"}], ",", " ", RowBox[{ RowBox[{"J", "[", "4", "]"}], "\[Rule]", " ", "0.05"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "0", "]"}], "\[Rule]", " ", "0.4"}], ",", " ", RowBox[{ RowBox[{"k", "[", "1", "]"}], "\[Rule]", " ", "0.01"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "\[Rule]", " ", "1"}]}], "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"MutualActivationTimeCourse", "=", RowBox[{ RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"Join", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"MutActReact", "//", "interpret"}], "//", "First"}], ")"}], "/.", "AllParamRules"}], "/.", "SRule"}], "/.", RowBox[{"eT", "\[Rule]", " ", "1"}]}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"R", "[", "0", "]"}], "\[Equal]", "0"}], ",", " ", RowBox[{ RowBox[{"e", "[", "0", "]"}], "\[Equal]", "1"}], ",", " ", RowBox[{ RowBox[{"eP", "[", "0", "]"}], "\[Equal]", "0"}]}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "[", "t", "]"}], ",", RowBox[{"e", "[", "t", "]"}], ",", " ", RowBox[{"eP", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}]}], "]"}], "//", "Flatten"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"MapThread", "[", RowBox[{ RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{"#", "/.", "SRule"}], "/.", " ", "MutualActivationTimeCourse"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "tEnd"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "1.1"}], "}"}]}], "}"}]}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", "#3"}], ",", RowBox[{"Filling", "\[Rule]", " ", "#2"}], ",", RowBox[{"FillingStyle", "\[Rule]", " ", "Automatic"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"700", ",", "400"}], "}"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", " ", "Bold", ",", " ", "Large", ",", " ", "Brown"}], "]"}], ")"}]}]}], "]"}], " ", "&"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"S", "/", "20"}], ",", RowBox[{"e", "[", "t", "]"}], ",", RowBox[{"R", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Axis", ",", " ", "None", ",", " ", "None"}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Green"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}], ",", RowBox[{"{", RowBox[{"Thick", ",", "Blue"}], "}"}]}], " ", "}"}]}], "}"}]}], "]"}], "]"}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.417780674222792*^9, 3.417780753402973*^9}, { 3.417780819579303*^9, 3.417780819657826*^9}, {3.417780891844676*^9, 3.417780925106131*^9}, {3.417780959575122*^9, 3.417780964192166*^9}, { 3.417781009262038*^9, 3.417781043962753*^9}, {3.417781866059335*^9, 3.417781878448578*^9}, {3.417781918738219*^9, 3.417781950451132*^9}, { 3.4177834967913*^9, 3.4177834974324*^9}, {3.417784075109493*^9, 3.417784120374139*^9}, {3.417842344666851*^9, 3.41784237398748*^9}}] }, Open ]], Cell[CellGroupData[{ Cell["Demonstration of Irreversibility in the Switching Behavior", \ "Subsubsection", CellChangeTimes->{{3.417836943108019*^9, 3.417836952220549*^9}, { 3.417837066960884*^9, 3.41783706899827*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotMutualActivationResponse", "[", "8", "]"}]], "Input", CellChangeTimes->{{3.417780745121329*^9, 3.417780756808096*^9}, { 3.417780793326412*^9, 3.417780794392677*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxdlA0wlHkcx1e3XmpTInvIee+8JHYjedvWu/XaCx0pMrTteme9HJ23REph rE5tZZWS4wx5u0qh3bvTUR23dbloztEdGe4ozBrCXTPn93vGM/PMzmd+r9/v /p+/bljcQfY6EonE/+/9+KtXvHRTqNW4l/T/49ku7zvKmWKu8jNFq/XkYJLD KjsVuz6q3qcAzDZfUKQrKgH7GLPfUd23OlwRfHxeMZteZCR3W6sB2ymbNJCz NIE5i/zyqkAd4LiuMYsGHz3ggiC57UvRBsDhj786Qed+DiySVz8QddgImL4l u2w8yQQ4dIZh6httCnxD+KOmtNAM9m0ush2UHKQBJ7Ux9pd704E7e6renzuy CzjC3aY9ItAC+No39NaoSEvgkpn2U/Ff7gYerU1O4fKsgH9w41/OydkDLLNv YKQ42xqY5PidzPU0G+Czn0p9JPm2wPFB4WLpaTvg4VOWx5lf2wNvLRUMnLvB AL6tZJL2+OpeYBFP29XwWyawUOe6JsPfAbg9fYHE7UPW9ZL/oB/gCNzSa3z+ 1QvkC13LNJ1gJ+DSxPHI0NfI6apam/UOOwPXGMv2JP2BLDcroy4KcQGupjVm CseQjcNqfZdiXIEHPe43HZpAltw8uZOZ6AY833zAXu898so9XuuZWHdgL5qb a/oc8uNg84ioRBZw/lLPzYlF5Po78dKVFeSeksGEt5wh+D7kpJr/kHdvhPjh uoYVfRNlYFJWgsU0kwrnj7Xu2PDV+B3ApO5Tt/QydgKTQ8ojfhaYQ71Gf/mz uSWc3217+v4kpxfmGzjTA75w2gDxob9fnKndtgWY9vsx7r1ZPP8HM+nfj6hg //2RLfemP2D/t7UKec2Gm4CfRxakllurAIf4ip4YK+D386dz/sjCMtb/dEHC muN0wn4WEQ8oK6z1EK8s4vTEXMT74mTR4tRkH/abbGaaxRL2kfbxbY6aKQKX UT57GNqI/nI7+OIAEfqXVagcmErYR9PHyXmsEv1Q6pFaDnSiHuualmWRB873 WFiMziD83120BI4ctwH02KaTTvg9xfuPPESL7t2PeorKQuV4DdivLVB23JSg Z/lNf+mdRjwv80dGg8UxqKfFucCCUYF6vHf9pryHoCeznPIX6xjq4WmIXtql o55cs7q4akOcT60QGdoT9Fg+8NNYmcV5mjZXD/De4LyH13Iu+Snh/Z1+yKqp g1AvSq2/ZcStAD86ZPVLlwrRD8t8VQbJHP24rFFa0iLEfXR2cN02EvzIiVl4 FJSIfhiRn5jNeOF+zWS7eCpBf73rdGsaA/VXiquqo4NQv8k7Q6MrVJyXkWCQ t42wPzvcesL8OfYXL1I3sCWof0hX5XjNMPYbMRRsFhLqHXmvZSlCjKekaAuy ZrE+8xcPsft29E/19HP/IUL9XQVj7RhuMfiX7dlSI4lF/7wH86vUtNC/a0dN +w+VoR7/i+pzi4T7yaXpfL+5P/rnEMi4RLFDfaMxk1pyBP+6BGFafFP0r42q ppTngXoyJOxclU04787ArxYUwv6Zd2v9WGLsP5+c91TUh/XUEs+OQkJ+UJdv rH4hxrsDgufmJ9Av1mTuJ72EfJfwDG7dFOZXNu61fCnF/BF1vdtThPy199Ha /LXneW3/1fja+lX+F1m4b6Y= "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{98, 145, 146, 139, 117, 136, 97, 113, 77, 90, 57, 63, 15, 56, 14, 13, 12, 11, 10, 9, 8, 7, 55, 6, 118}}, VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[{1, 120, 100, 83, 70, 60, 52, 2, 3, 4, 121, 101, 84, 71, 61, 53, 125, 105, 88, 75, 66, 5, 122, 102, 85, 72, 62, 128, 108, 92, 79, 54, 126, 106, 89, 76, 132, 112, 96, 67, 129, 109, 93, 135, 116, 80, 133, 114, 138}], LineBox[{98, 118, 6, 55, 7, 8, 9, 10, 11, 12, 13, 14, 56, 15, 63, 57, 90, 77, 113, 97, 136, 117, 139}], LineBox[{68, 130, 110, 94, 81, 16, 123, 103, 86, 73, 64, 58, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 124, 104, 87, 74, 65, 59, 127, 107, 91, 78, 69, 131, 111, 95, 82, 134, 115, 99, 137, 119, 140, 51}]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], LineBox[{142, 141}], LineBox[{144, 143}]}}, {{}, {}, {}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJxF2nk4VN//AHBbIoqQEJJ9NxiMGbpv+1baJGmTPVRCKhFSthZrkjWlRApZ Q0KylSUpu7RJlrkRQpbfuXp+n+/8MfO8nnPPPe9z7r3nvM8zd5v96b1OTAwM DIroi/gVj1q6nyZasJ1h9fMLa47pOzPi8gn7f5u/WGs57IL/55b1muwsRxjg /60fZVSdtYvtPzupLKxXXc/9nz9NdIbmbNn4nw/m5q1IyPP85wQOkUq7gv/5 vVvk+VQK73/2Eqr5SPP/n7mb/5B7X/7Pc2evvq1p/58/beN1zP78P9e33P0b PfU/P72gHHeemQ/M9hnR/qzgWIJUpbwdHx+E3zAbWId86Z1ZrYkUH0RtENl/ YAnHnAO6Dqpo8oHckSsnsL84tlPOaZLfhA/eLQ4Lz8zh2MK1sxUD1nzwtvCa QMUsjj2iX72a6cwHAT/9RH2ncYyl6KGgWigf+KgFPfyE41j59hG9na/5YMs4 zfTZMI5JW7nHhhhsAiM9UeaHnWicA8+o/8L44RAedFLiGY49/Ry8VLKLH26r /uDmysexQ4axDQHH+ME6oEp26QmOlbAXHuII5IeJ7M2NQ9k45hE/HSJdxQ8j r6pp9Rk41pN9rvOwzmZQshdUWB+LY886A842UQTgKssdr1QfFO9VR/svZgLw 7eK+/WVeOJamabHrr60A4EfavT964lhkooCcUoAArCSEOgmfxDGHw4X90TUC sCloUKTNCcf4vo0Y2JgLgkFhZkjbARxbd6uNdOaQIJygzKwRtUb9MS4RifQQ BC2Rc+WnrXBsPCvkT8VNQRjmTSsU3oNjr91FH299LwgNxvaFKeY45vt7H8+P Q0IwfrudUX076k8mdWXFQwgW51yeFergmP3+beMCl4Qg+Xm6pxYNxyxL6a/N 7wqBYCTjOlMKjslcjLjw9JsQSKS/O3hDDce6mV4OnT25BQ4Kvwh9IINjNB75 PJZAYWg9/vjcFC+OtTLaNrVECUP2A77T73lwzG4y4mvCXWFgpNKGSzbi2JX2 n5vlaoUhc37O4CoXOv5mdtDONSJgROGzxDjQ8RxyexOuiUDBMrOwFDOOTS3Y eBxLEQHH2WqSIhOqPxoeKvtEBKZ0Za9qMOJYdtNIeXmrCOw/1d5vuULHpsIe SXzaKApeJ+o+Jv+lY1dYZGdkEkWh7H69d/I0HeOfPsA1+UgUknniM+p+07FH X8Pkyp+LQvE3yTZ8io611P44sqNPFMyPfxfcMYmOD86q9xTdCouMMQzCdDqW vSSd+DxzK6T0vy3cNELHXP7Gpj6wEYOfZ5/csB6gY/GW468u2InBmQ1tv2v7 6Vh1htHoTlcxqIu8nk9CFjCd05w9JwaHuMbEufvoWGP8kXbj22Jwx+FZ2mA3 HZNTlmUe+SAGxaTLKaWddMw6OFiuckAMSl//lqMgX+7s3RX9XQxytud9ff6e jvX63UihzIhBcOTGjuoOOhbZMKURwbcNOI83W/W307Exuxeu8vu2QY1uYKdJ C2q/iD9q2XYbnKAtMva+pWOGaz2LO+y3gXzDBY2TyClPxJkuem2DU6VHHyS8 oWM7FsKS38Rsg1uFtW4zTXTsSdzeVo/2bbA+SjNrqJ6Ona7/oZ63UxwoQ/mR x2pQfyHXXdFaHLj2341fi8xd4Xk/+6g4YIEHQvOr6Vh+3jxP5mlxoNZhAmuQ pxI5phJjxGFtiW9pWRUd83VXyb/8QRzi7EeYTCvpWP333z9WBsRBaXbxylIF HdtsV7Y1YFgc9oQMvC1ELrPSizr3RxxmFo8/FEee1913ykNQAr5OdZuxl9Mx f+5zitZHJKBp+eSzuVI69jaS5vjeSQLYZ+7lPUcWWcOQsvuUBCgX6e+/iFw1 H85hESgBTOZr4xiQGb4mjWIZErDLXC2Hp4SOhRRXPZL7js7HN/tpXxEab1tW qSUPSXD+mD2BFdCx7STO2Z8+knCTzW9yE/LkGp6Gj/6S4Mklc2w8n47ZFIic yL8uCVjEkncSshSbxhOHXEmQMitw+ZuHxq/YQaN5TBK0gx3T257SMZ9rJ1hL f0vCD8HiN4+RZY6f7rr/VxIKHB/sDUe+yXnxQgCHFEReeu+hj3zIIfYFSUEK 3Y/CFeVP6Ngsd43RbTcp4OOWZ6nIpWM5w/X8V7ykYN61+WwK8pHKtz88/aQA W7tAvoRc59IdYR4pBUIcvxL1kWOq8JalbClgYen43PqYjil6iFo7/pSCdpaT 3dM5dMyh4aKzqqs01JXJlp7JpmOOOtKWs6el4XEZ++9DyM4F7RoV56SBMmXu ZIzsmiy1xihMGtwtq0e3IJ863Xbf5qE0qDEdc296RMf8Nkt8DvwmDWx3bn1Q Qva/3tJoOC4NGXtdaVuQAxjP57NPS8PfG21tbMhBY28D45hlgHUi8PK3LDoW +tJXNEtcBiYf/mZKQ451aT7UaicDlYBzCyLH9/sYxLnKgEP/iAI78q09WxVs PGWAXFFzav4hHUuk+Sx8DpSBQaUQt17kNC7ROzNpMlD/w1slDTmn9MxH4QEZ KEhhS1VErlkruMf9oCwkqi3ft39Ax4bvK5v3HJeFwEP7uK2ROcHQwMRNFmyn J9LMkG3On9aQuCgLzzPStqki4yOvBftSZMEpsPgZI7JIs9cX8yFZyDQwKnmU Scf0ncP7ykZkwZ3LRSQN2ZUprVN6UhaKXp/KiEMuojbVMzHJwVTQxPIlZIvH Wx+XS8jB8xzDtQeQL1x/6y3vIgdGpJENnMhpsl88Ek/LQQFL9jZm5Lq6P06s 5+Wg68KbHQv30fO6JG7zJVwORNpUxkaQs05e0EnKkQNxGzW9BuQPltJr1tHl IOSXmUA4surGoISfPvKgUrAwJ4BcztYl2+AvD24C0ty8yPoMyhWZV+RBvuCc 5npkK7zv07F4eRDkw/MYkX1btOQ+FsrD2M+ePWP36FhlBF5ROyUPGwUdJGuQ jYKNLe8uyIOTfaFQJXLr+dShACYF8ODcIlqK/MnFYo02jwJIe663eILMZJxl maeqAJ8OKmsnIZsyHfuc7KkAJrJ8lr7I7+aLvS+cVwDXTW+YvZBtJzlZDwQp gK6Pbd1JZPehcnmeaAXIi+50ckK+WcXvE56nAKdu1cnsR+70a2U9S1dA/WGM 00S2+62raOmhCHTpAgsG5PU8DO2dPoqwE86OL2ag8SDVeh8KUATmpNCEeWS+ U8YVrjcVwcbHgPU3cuOIpXlIviLIpTbvGUYmDR5zLZtWhGdryy+3Ig8sbuPE lhRB0VnqyRvkyC3f8l6vUQIxVstPjcjfbFz/dPArgV5Ml+0r5MT3nqETFCWo GWV8UobM0BScKR6gBH2ZQ9mZyE9+GJhmX1UCax0r03vItqys4yo3lYBc5TaR jlxkEKmum64EWcXKFsnIx+13dL3KUoIQo0LmO8gbgjdcNM9Xgt3T4bUJyK5V sbUHapTA7OuHvbHImwasnAeblKBSV1IyGrn2L/86pw4leDJ25u8N5NNCPU/G epVA0SGv+xqysHbyHq+vShA18KEiArnpwJGZuTElsEnvyQxD9vXdeidwWgmo VtlxV5Elbn3WYV1SAuVPauEhyO2F94eur1GG1pe9bH3IAR1OV3g3KMN1M6Zz d9D9JT8pI5vErwyZYa/8otDz2sU1+kZsqzLMWAq+u4TmryvKuaezZJRRfnf+ vDqaf1V3nuJVJinDl8KOtmA0vw+6k0qLKMow5/ZK3witJ5TsouUaM2WQj7Av LEbr3/cG33ume5XhXClDhjpaX2OHKcZttsrw9kKydgNan8clXtzod1cG5dtB bHNDdCwj7bXwnxvKYN9KWRO0gNbbw4pd+xOU4fVR1w/nGHAsUSgupihNGbYI LdRZsOLYzQQ7Vq88ZfhzaVQmBOVPfjf/4uPtyuA8tI4sL41jZ3fY51j0KEOu onTaH3kc81zX5JjzWRk0S7c2ZKigfDs0ocdlShnlH8cColE+t/eS6qsvvCrw 4/QPwVlTlH/rJAboCatAFpNYZMMOHDNdWNa6K6kC+rcljC7txrHtvm9zj2io APf4on86ykcVTrkkdFurAP8X0mSTI8q3FVt3ax1TgRuXB5cG0b5GfJTMkeCi Ap9EDYSG3HBMwJkpaN95Faj2WauZjfJflqOpJ1rvqEAxb42p60UcW9nCIql0 TwW+XLtqgweg/L/HbfBajgo83D0k4xKEY7/2U/aZVaiAxkL8D/mrONa/871O Xb8KkA+4cnHdxLEuDuof8e8qECM54SQbjWMdTXcLgidUICMzp1kD5eeNRqek sWUVkFYYFVJOwLHeNBa2AS4SWIoUZaemonx2ScuJk48EOnePH7VLx7EPh91r aQIkYHCjXRNE+X67UId/khgJ2E127PbMxLH6hPTJA6okOMzkuq0kB8cKb1L7 OvaSIKD7su+7YpRPJ29YU25NAvp5HiOGUhzjefRFOcOWBFderIuWK0PXpyby 8ml7EvxIvr/ZoxzHFKd75Ti9SBD+dkWyqArH+hjy9v0+S4JreT185S/RfmF9 SEDvBRLksBQ7VlTj2Ii0wrtHwSSYUFUPz6/FscyDF88bxZBA+n2Dt0s9ju1z 3nVP8RYJGjY5LZs34BiTt8Rb3jskeKRKuyvfiPLr62+2frlLgnJWX7/BJhwT frml4VI+CXbxfL0n1IJj8ZKVm8raSPBBtFJwugPHDFSjsfT3JOA2FE3JeI/y cV3HE6FdqFz8gdEOtL/afYDzhdUnEkRH9hve+YBjnJGHHSfpJCgpNrHn7cax igTSze4pEngUW998jOx2n6Xs5SwJGFuPmej1oOtTmctxc5kEW83Zbjr1ovwe X3wmv0EV9h7pS4/txzH1xfb+jTyq8GD4rovAAI59YXvAOr9JFRxTbmxMQQbx nbYNIqpw/LOxWuogji1apTI6KqnCT7uWR2FDOOZTrrs7dYcq7PyuNcDyDceK bRuYenarglOMfdpZ5NmF3cV8+1XhjnPHpW/IF2iOQtePqMLUj7vVld/R/rUy 8pvfKVXARJ6o2/zAsZeH+W6XeKmC2Th7fzkyw1Kq2ZSvKmSu3/19ywiOXdYt eHoiUBWONlIoPchhVV3nbaJVIU+356HeKOrv0eMK8fGqUMFWL5qIvG5ldKAt URW6SiRVJpCvY8v6JhmqUNpqqxY3hmPR1ZLrNZ+pQl3cinvbOI4l1Z7J4O1U BeuD5xPWo/1vn/3ffbu6VeF2wAPz3cjCzFdZr/WrApXaR49BTjNIdGf6rgpu 6S8FeX7h2P26Ko3JGVUYa1I6yzqJY98cTUcUF1SBUisirYcsvaYjyXVZFcI9 8n/6IT8y+r7yiVUNeg8llo0h59ZzNLduVoNy/MGn2ikcm3C+5b9OWA3sJduj Z5GV125VMRZTA0FFHy+53zhWYKIW/0JWDZg2tXVeRy5ptDmaq60G+LNLZ8zR fv5l84OpiENqUN8p9uL+DNpPC7SfCTiG6m96ZdKEnOm88MvTQQ2aqw6a0JEj mXbhB9zV4BC16InmLI5ZUefGpC6qAXnnwV01yKPZ5t9rktSgNu157Ms/aL74 4+NYnKYGXbUbrQeQ24zSvz66pwZnvCRyF5CLPv/+HJWjBlFbuvnJczgWKJg6 eKRcDTJVGLnvIfNF4F3zPWqwKNs55j6PY6xdggcmBtSgNeRSVAjyvKThx6HP ahAp974/CXmwOrGz4acalF609GtEzp7Te3drXg2047Z/37qA5lPX+GZVQXWw fsPpVI2sWlJlJiWiDqa2UurvkSVZfjYKbFMHixX+F9+R2e/qNqzIqkP2n+ds 6/7iWGfX8KsWijq4e0sn7kI+YaL94oSNOtwJnLBvQ6bLCr4uOKwOJcf1kz4h e62bfztvpw48NcaxOLJ/S1l/xAl1YKoabd6wiO6vfZTFbD91OPX4uoc58iYN AZapS+rAJX+3zgY5iX+OgxqiDvVcSd+cke/3lG5pvqYOr58IBl1GLjmmRRtN UYdesSzdUmSa3mYDtQx1KHXYQH+FXC3+x9zvgTrcIGmcbEdu+l5iu+6pOiSu Ne0dQe531/STf6kO5OINIZuX0Hx1XuO522d1UJd58NQDOezgpppn39Vh9HpP ii8yJ22mceGnOszOlDoFIW9aLuqOnFIHLRX58Dhk2SvkuRxmMkhd3sFbhvzE iY/h91oyhG52H6xGVjOZXkvjJMNlfuOwJmSddUWb3/CRASZHfXqRd0Wra41J kaEr4FHLAnLnGV5MXZ4MEX7bE5iWccxm32/ji8pksBBi11uHbM9faM2hRQbf N7WYILJvipqvgikZFthDBjSQUx6pFru7keGnu7eCG3Jjj0Nj+ikyqCxxynki T69L6HvvRYZfe8e4fJEtTi4w6lwkw9TetqRg5AXVV5ac18nApRvy5DaytMPM cYgmw8b3v5dSkPfGy5z1iSeDgMkm6j3knNlryf0pZFCkcp/PRT5YYTWS+4QM LyuGeauRr4yH/h0qIIOVhv3bOuR8kecbNpWQQRB/4tWEzBYkohFQRQayUGpk B3KZ4XDwzjZUXyQE/4rM33puC/0XGeL8c2uZV3BMfyVbWXyGDDGVrn5rkU+R +vWs58nQFs0jyYFcHwuuVYwaYJ6jZMmDfPYAe/FNHg3YY1DLLIbcOZRkqULW gMkFfyFtZAaeluMOFA0gh25g10FWNFjxua2jAXKHw8e3I4c8cEheMdSAI+Id sYbIam6KI237NWCNvtTxXcgxv18Ee57TgLPBEzIORDwd0ccPX9QAny2Mu52Q dxQ46JkGakDWtkBPF2TW0+yMYmEaUNkinOyO7D9qFdSWoAFNulF3vJGdP49d Ui7RgNuV5D2XkQ2rq44KlWtAbeI5jivI29JjtrNWaUCycNbLq8j9h7WWB15r gOkZUf4I5D3dlwNufNCAOKvkgChknTZB//FpDQhb0TNNRhZ8On6oe04Dvqon 56Qgz15/Satb1AAmLh62NOQCc6e/ySyaMNX6oOgusnR9vp8FnyYsbXH6+AB5 4wuTCznqmmBRrG2Wh0xPFjqYoKUJqUaqTvnIb/0mKJdpmhCyxSCgADmUEjd3 0EATqN+GMwqRFwsHz7Hv04THy2FVpcjDOWd9Xb00oSTx9e6XyNYiy4OPfDWh 29DGpBr5dVSoyU8/TZi8pUOtQc70uS3gFqIJa1+obHqFbL/9ebl7vCZgzM4Z 9cgd+XoSuYma8PXxBv8GZD2J5mvjKZqwyOe9rxFZjK3v8MkHmkBuTp1rQh58 t7h8qkQTThzrEmlBtjS86pJXrglxgdWfCL8oWd+OV2lC55U3aa3IKcmiGZ4N mhDrf4qvHdnWCQy8ujWhvGNhsAP5w1xI2NkFTZjh9pvvIq6fO+ev4mVNYHnz J6YbuWgg3maWSQtqc+Rle5Bjax/InePQghM2HTt7kXdfb3hzXlgL/LR3B/Yj Vy/vIj8X04IjTaGsA8gqZ7pT5iW1oMam8hrhDdY/T/opofrsBtGDxPhv5eD2 364F757HXx4irn9s3PlKfS3wiUhYIPyYRfjzorEWhAw1en5Gjvyp+CxglxYs U/sPfEE2LbS0CrTTgq9Xb2/8hlxnHJt4+bIWOOY2af9A/u5c0eIXqgVPLKZi CLOGfWPyjkTx7fk0Qti0QfOkQ6wWbGUWjBsh4jHp0zO8pwVB0td7fiK/N5Uc W1OrBfIZNLVx5GnXnWLLr7WAZFV0njBfhO/+2SYtKGZWqyJs3dT4cvidFjCJ mhtPIPeanYxv+KwFvcqWFnTkL+YluhGMFKho91P4hczs/skreA0F+njaHQhL XmN7dIGdAvU1R5IJO7+x5XHbSIGIPgW2SeRRi5Vh820U6PnZ3k14aodpNKce BXgmgm1+I/OePPOaxYgCH6lXrhIm30haWDSlwJjGjwLCvi3jjhO7KXA1podt GnlhZ4x2qx0Ffi3n5hFm3NX7JSqIAmzr7b7MIDdW7ZfwuYLiu3xvzSxytPI7 B5twCuAhJ2QJi21o/CYWTYH77697EIaW4uGCdBT/oaM44SCLmNH3VRRgfnR1 iPj/w7SCU6GslgIOYR8XCXMrhLun1FPgulCdwBzy3XWB446tFLAXuriLcHWT B31mgALshUFlhBlMTac2L1FAqFjcb56Ir/SV2iKDNmQ5fYkmHC2DeQ+xaEPt gb1ZhMXWak4/4tQGExuT94ShXmJWW1gbtpAyZRaI+AxX5g/RtOGQi/ArwqZF flTAtMHI1/4DYW7JWT9JA21wvXTiB+G7zBN/x821ofR4xbq/RHy1vUsBttoQ 9uGKJWEGvRLGuxe0Yerl8TeEbQ1/NHcHaIOSkGkf4SITgfiNl7XhU+jUKGFX Sz/pkEhtUHt6m30R+d2h7RbOydrQX6dtSFjx2Gm+9HRtsA202Us41P7uQNd9 bdiVqWdHmHqCydMsVxvMDXwvEr7nWx+v+EIbqCcv5RFevPDniFONNkjxslYS tg6QlUl7jdq3PNpIeN2VyOdcrdrgkRoyRNg7xnJwalAblF1KNiwR80HuR5nn DFQQ9FNxIJyWt3ZykoUKYTUcJwnPPaOUy7NTYdGq1pdw7vOkHSkbqeD/vjqC 8KaGo2cCxamgfoDvKWHP5ihqmTQVjGU6Swg3t1QzT8pT4ZC890vClzrFE+zV qcCku6ed8PDn4XIjQyo8q0z7RRi+b75yyZQKDouuc4STRkx3lu6ggtkKH8My MR/iOZ9k91PhuA4vF+HSxVMsnM5UiFUsUSAcvvnPzo4wKug/ZrIjHN/Y+LX2 GhWU4kucCKdfSLpQGEWFG3es3QmX9Ok+iL9NhcYbh30Jf0+/smidRQVc9to1 wvqyPI/76qlgO5z9bLX9nq/wtpkKLBFYKeGDkcUfK1upwOdRV0HYc9yGKe0j FRg4U+tW28tPP2g3TIXzx2I+EF6kKLF9X0ODudJX04TZRpdTP7DToNLg1Bxh 3uR29fr1NHDx4lwkLL/kfSxrEw2430kyrxDt1ZSXnJCigXXKG27CJWamTnRD GmgEjMoRrl0Q/DtoSgN7l35Fwi2Px6LbdtDA5/UrFcLf1kdV5luh9kK9NQjz dnzg9XakAUv1ISDsaetQ+yeEBr9EfawIb0gfHdIJp4GkP/MBwrlfz6wEX6fB nlsRBwn/8AjS4bxFg0SjC0cJHw1MLRF7SINxwxEXwouvJD845dAg2VHJjXAS W+7vnKc0CKw84UH4Q0w5SaOUBmvTGz0J78jsyjFrpMHyjPgFwuFKwz/et9Ng OlYsgPCrkmnJoz00+Dm2EkSY2rQx3WuUBv3iruGEZekWccmcOrCD+88two7n bNulNulAkLHQHcLpDCfW54voQNpmqRTC/LyhYXXKOqAyOJ1BeG9KfJ2llg6c DKjIJHxD6j5jD6YDShwnswizUKovTuzWgddG8bmEoaa17NxBHXBL4cgjfNF8 YIbRXgekNc4UEJ46vHCa31sHuPawlhD+HEx2xG7pwJDhgSrC0x1JHCwPdcD8 KWctYTZJxsLGEh1o2BD5mrByfQvj3m4dGLeafENYbzM5m/+nDtyI/N5K2Mo1 aXffvA4kDRS9I+y3ziXdcYsuxHS9/bga/6EWYzlFXXgZJdRD+G6uOn1CRxdk FQ37CDdYMuieO6oLv01onwjTf729xhCkCxG3O74Q5ou70xuRoQtxweuHCdff c7/5rloXTCjFI4TPP9PVFxzSBcdzvGOE5Wu5Zu1WdMG4Q3OC8MC7z9mPRLdD 1WYFnLD+5NWNlCPbQe2l/xThh9zyFxqSt4M9r/QM4aIayWPnJDAw9NSfJ1zj tdVI5jEGh5Pr/hJeGb99bIQPYEZddolwmthdYV0rgLJOnmXCTy1bbu6NBXh1 /faqX/gvMLi2A7zcx7lCGP8atPyaVw+KNY+tepvF2kWJA3rAZJexarcbia+W b+mBVVTdqova5K71dOrBx8SeVYtZ8A0uCuhD0fLnVV+vXyaJHdGH+qDhVXOL TO+sTtGHhwmdq47z/ulm168Pk9JvVx1ex6xbI2QA3Fkdq/bfJMolftAATr1q WHVseozHmxQDMNz6rzxbbk2zz5AByGcNrLr7Zshk0lZDYN7+bdWs04yCNUcN wfk1vmrr2J43KvcNIW/t31VnkQoupf0whODu5VW7Nj0ZbpE3gnIFxtX3F+Ts cyyXThrBW26mVTN9LAjKzjWC7dL/yvvMnj/bP2YEh7f9e9/h46ygp7mKMSxR /p2v476fEuZtDAto9SH8XWG4KP+ZMXCo/vNc4R4d8SljSK7/Z3/NL+etSCbQ e2xp1StlXsWhp0zArvFf+QOfwwGMz0xgeOVf/BYkYyP/GRPIsvtXzt5A7fIm m4Jt2L/6DUdUTrh7m8KBlX/OUgoIfVxqCu6kf/GFLTXfH/trClxR/yzUldoy s2QK83H//DTf88/KiilsuPPP/wcFc4rt "]]}}, {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJxF23k41N/7OH4JkX3fl+z7vjPn3LOENiola5R9yVqyVIgiJCGhQlFRKrJN olDWbEmLpaJkD6GyxW8+1/X7vl/zz1yP63nmee77nvuc55k/ZsfxgIPu9HR0 dHlb6ej+7136yr+CXIkyRPf/v6qZlSRPeF3B/88NYY8LFb3y/udmzSBPJq8n /3Nrcq/Fb8+X/3ObceyzGc/u/7n96mDQhOfX/3l33TbLMc+5/7mTXZ+FwYkO /p9JV3bW37di/p/dNVbZtdi5/ue9g/F3hST+s248P4FO4z8zfNX0697/n++k eLafyPjPX3/2XXwgyv0/25U82ZRR5vmfwZZwndXkPysyvFFf3POflx3GnBpP /OdMVvFal7L//M4nMeyWIe//XCMgxHVh13++03j3vp/9fw4WafhgcuY/c7X/ 1R14+Z+XT13oaOj5z1938LoVj/zn5s78tdSF//w4XD09bCsfoA/k6vk6LZwp V6vswscHAgnLP0T77PC5t7sazeX44LKdUUdXkCfep+T+S8CcD77r7yAPbA3F q0mnnn+24QNQjllJr4rARbMXLhR68IH3367Dj2yjMEPFPWHti3yw4rL3Jqt+ HK5BE8R9TXzwnM6613k6Gcsf8k2LJfNDosDzS9mRmbivKtJxtzU/iG+/0jnr dx3HCCfLc7vygxGZkE3vkIWHvpTU5J7nB1m/6ulMtRyc7j377VkDP5S1nsx9 +egWposK0pnHAtBFZXr5i/sOfjwS86/KSgD6FfYsQ8gd7EBJaznrLADkcaF9 5u/u4CqWcgfWKAGw3rJin3ylAPtlLMXKvxCAYcuN8PCVQtxffLrP0VQQEv/c 4i/NvI8vsiXkyuwVhCshQmXxP+5j3YAsrykHQdBU/FFkr1OEU3WfrZ+OFAS6 Iv3oLR1F2Ozlqmx6jSDE3nsbVv2rGD/tO3uqzVAITIpOx9Vyl+CiC27Hv+0S gkuCg3/wkRKcq7/Has1eCPSv06113yjBiVlCSmpnheCy3EiIrPQj7OpYPpTa IATbdvSm0cs+xnyjE2Tb3cJwwSI0KGrzCd5+rVszyEEY3N4xypeLlmI6syrx RD9hCKBQV8wMSvHM/di/z1OEQaY7KOLwiVLc5CvxUPKdMPTU/tmq+74Uhy5a 84w7iMC9tjBfgWtl2K/QeHPTTwSOEOXqHj0sw8cP75gROicCOsfb4lcayrBl 9WzT7nwRGMePB57+LMMKkZfCH4+KgGlt9Y824lP8if7l8KkTomCVXrbb8/NT 3FV+tzPlnCjYpbdmvJx7il+7JdfcvyIKk+ILHwa3lOOyZruM/jJRmGiVuekq V44TE5fMCX9EgZU14F+zdzk24VF+whAlBhBKMrs0UY67tti3dV4RA333mSGj v+XY5del75n5YrBNb0K1lrECx/VMCio1isHhXJ3ThtIVuCulOHofozjgds3L UnYV2IVV6WBmkjiwMn/erf6yAi+s2vo53xSH53ZRFvCG9vmphIuKj8Qh9FzP jOrHClzcNlFT0yUOlnQ5UlmztPHxRTJfuSVA5NDhM69EK3Ecg+JvhSwJaBpZ ft4bUIkFlo5w/iqSAE/FAdQcXomLvscr1TyTgNQQptAbsZW4s3Hcae+gBDT/ Uboyk0kbH3O/OVBCEtrWty/r1Fbi4n/yWc8KJYF+Y9uT+1uqsOlPm6fnKyXh Ppu2wTeWKtw1dLFjT7MkqPVkcDDwVOGF52N0X8YlwffCyOTGjiosQXinG8Mv BUdfWNT0QxX2XEu7dddWCg6sGja4RlThDMuZV+EuUhDx9dzphugqXH9759Q+ LykIPkzMZI+vwkIWy/p/TkvBjun+j0HpVbg1w6nH7LoUJO9/uhjwsAorqStu nXhPGz/0JdnvUxW2iYlRqv0sBfy2lvdaPlfh830DVqk/pACrnxLl+16FByIu 3zT8LQXSO/3qYn5W4cSWBb1LfDvgjcsz74ot1Xjapc5L2XoHzEYa9mYrVGOh CoErG/Y7IOd3lZO4ajWmbAus7D2+A+4v/3qcoVmNbz6Spo8M3gHJO3w1nI2q 8d7V+Btvru6AEZOyI567q/Gj9INdfj07gOH+aIGLTzUOaB7XebJPGg49/zPc fKca10OJr6qNNIyakz0p96ox1/PAguKj0nAt5tHH6uJqXPpkhacwQBrYzh2Y iS6txgtZrAtZV6XhAfW+bF5dNQ711Sg9/14aoo9/85b9UI2bfyyOb36Whot1 1gvs/dVY0IUqeXZMGiJfJ0rODVZj6iHildN/peHreFZz1kg1XiFY+/sJy8Di npilpJlqfIbrtKqNkwyEnbBcZ9xCxR2JJm7v3GWgs+9B48mtVCzOSHdzv78M SIlIZg0xUvGLlQTWPVEywNa7WH99OxXTfc+ZwrdlgDmUoPuCl4pjK18UKf2Q genzd02GZKm4TyN2+N5PGfjFa7E6Kk/Fsg/MhWT/yIBFetyvcUUqfp3bEy+x TRacOQq6hlSpmCnhmwevkixcooTzxulScaI9k9w/P1kQ0Qz2/0CiYqTJ9mfy pCzMiH33PUGh4l+MPC0fzsgC8eoRfTozKrYtE/cuTZYFmVUvF+FdVCzHrPfI tUQW3rxdxaJWVFxf6arXPi0LP90Lgz3sqfhkkjdT9aIsWF/efvClAxUrHAv4 WLAmC3e2/bzL50TFKWyR4WdZ5eCJ6tTbCmcqdnBNq9NUkYOR7i0GHW5U/Ier Yed1HzlgoW8XcPan4gdjzQJxwXIQnjQWGRtAxU61HeOBEXIwdejwSGEgLV/P T5d2J9Lu513U+SWYiq++mOv8VywHHAR2ds3TVKzqJ2HjNikHyhJJDyyjqNi1 JdJDy0seNNQjBksuU7GbqbzlnwB56IlX0IxMoWKPsh6956flwWEl/KT5FSr2 uiHHuDNeHt4J6HzrT6Vi/4DuAtt78lDxMffbWDoVRwjKjESNyoPezOLg3Wwq PpPc2UqZkYfnCfmph3Oo+OyWsFKWJXkI7dsRt/UGFUdPd0Slb1UAFzV9Y/ub VHzxZajEfWkFELv18ehiLhWnebY7dLkowEVyFnwqoOKMoZPkdC8FEM73mD5R SMXXDkiq2AYqAFeVmBD9XSrOMjm5OhKlADZH25jk71FxLqdE9u9cBZDumC10 LKLVrzrog9hnBeC4+oU5oYSKG7YJH/C1U4Q/nExfZsupeKxAfXf/MUX4tOhM daugYjagkM19FIGw68G+fpptwwL0ZCIVYVw1v/JFJRXPTTQJD95UhBNSul8i qmn93B78bfewItwuXA57XkPFJI+EQeqEInTyrqVKPKfVjz63T/6XIrwhZF+P prnCuK2Znl4JTIMHzhBrqXjPQ8mHNTJK0BgbulJVR8XhyR0hyp5KEKnjIhNS T8tH8ZtfVoAShAoKhTfT/Pr1X3emMCXoYT81KdRAxVz/pG2/JShB7oSDzHOa 758IN815oASDN0rQ70Yqfm8pz7h9VgmyCHZapCYq1uKOzpw8qQx+i48j97VR cQ3zR8WWM8pQHR4eF0cziU79eWGcMryQf7VZQ/OhucGvzhnKEGnTbC3fTsWh nQZKH8qVYWe16o0/NNdemnveuKAMMzeWe851UPHOGDPL/FWa4xiLHtHcFXZr +Cy9Cjg9mWYaovmr5x5GIx4V6OMfdTHopGJ6s/uWT7RUoPbLxeIJmi3onUdu BKpAxYZtrH43Fb9dqQwJD1MB3Zznx47SbP+LjelItAqwn/k2cIFm3+EaZZ5U FegfUcx7R3PKC4GTCU9UQEIm66JPD22/iOhiOjWrAmy/DdMuvqVil0WCqqWf KhAkVc6ee0fF7Dx0PX0nVeFLh1TbLZprNBtDHM6qQqFL0otamvn8zZ57paiC 6t78ohWaWycsd8eWqsLT7xKpAX1UrPnF2Yu6pArD3Tpn976n4s/rO9jwP1Uo LYpv9qA5UXT0SROjGiwaNDZH0zxq6/W3V0AN1ryc58ppznoXePGnoRrolYn9 FfhA2//aYgqlz6pBXhw1vofmR+Nki+ILanDBVvnGGM32TEwzGilq8Jz6O3Cd 5gpyog4hTw1I3CkeCh+p+NjxvR9f3VcDxdj38aY0c8RwRO4uVYOEk77+B2j2 epHWeKRBDUZaT6dE0Mz/+ZDHlzY1CLzr1ZZCc+OawHb3XjW4s3Sz4w7NASL9 j6YH1GD34P2sKprFjG4cCP6uBl+d3qq109x2xOn38rQaTH1PSv5Mc2ioZHbU khoIdJ6snKdZ5tqIKdM/NdC6pF689RMV95QXDCczqsNr4mRpSh5tf+h1j+Pl UIfY9ti/07T9VfmXgmKOgDoMOldIp/+uxnHqJQH3FdTBWFCjIGh/NTYsrtho 2KUOdBXHe+do54XbuU1ify+rw4i9zsfo1+X4pqPqx8OZ6lDnFe0yFFWOs0TS r1bkqsO6smQ0k2k5Tsl0YQp+og5RIgmt9VVPcUTK2txMjzqczdHYW1RZhg+e 03r1jVcDPC7PyWqUPsH7TLPOEsU0IOLQNeEg/ARbrG4Y5MtqAM9ng60yPY8x Cu0ocdLTgHEWqcdtvx9hFX/PzE82GrBFY77t9YESzHD0lndXtgaIPhD8emJX Md4UZZBVu6MB3R1fvQVni/Bqv8+XpAcaYMBp9nIlvQjPHza03vVcA+RNU+vs v9/HQ/vemb4e0oCvSh8sVFPv4YFcBubPnJrwMmN7GJtkIf70z8CdjU8T1GZG SwrfF+D3jr6NJkKa8MHbfz++XIB7RHrP5EhpQjtjPXvA5h3cnJn364iWJgzT JW13mbuNy1OMB3sPagKHTzj52e88fPwGB2ONjSY4uXY+V0/IwzxF39Rv22vC QqaZG49YHg5sSDwfcFwTrvLlu/BY5GLVpQEltmBNaHS+BRGlN3GhXWTYzqua wDa77bbhy2xs7WF1R/WaJvD7pdVe8cjG9CEyHbzZmqDNbpTGw5mNXZLfSH7L 1wT5qbP7k12zsNhL0ZZzpZpw7EtJ/YTwdZwhW8tP7daE4jeuC6rPMjBZKxXn vdMEvv7LYalBGXiB4OZ98aMmiPPHsE4oZ+D9R9jqDn3VBFOmrg6P/HTMlujo 9mtWE/RV1f7uzUzDcXPrT5U5tMDi8YU5lYepWGe9Z4ibRwu+0C9v+ASl4m/M d5lW+LXARd6LI9AwFYP0PvsWcS346WZWFnv1Cl4/dGuLm5oWXH1YrRk5ehmf rCHsv7VXC243Par805GIK+1b6Pv3a4FT5TtLYa9E/Gd1fyXfYS3w8M4KqGBI xOEmbiLJTlowpLa/CZEu4XO1iaMR/lpQ111ux90Vj+NffAyzTdWCEKsqOhvZ C7j16DGVjAwt+Gc9Wny7Lw5v35z63J2lBQZmBfOCF+NwMt4gmd/WguGUWbWQ mVicWi/Lrv9UC+zNfjoHNJ/HOY1Bt3n7tOCSvEo3U0k0Hjy+Zm31SQt2/mB2 EDwRjcW2XmBKGtKCMLHlI3wa0TiXnOVL/0ML8gPcfiX5RuGC1y/0fv3WAsFI HZvDN87ikmbW9i5BbfCS+VjovysC//S4dma7mDYsd3UPCY+FY/VtkhpmUtrw YMGcwyQuHJeZa2fUKWpDwLntmW2vw3BVq+3REiNtSEk9vS/W5jR+2X534ZKD NowmWExvo57ET4V6gs46a4O3+JG2If+TuNBjdT7QVRsKN9wsy+VP4kR6q7kj vtowtXh255HsEHzIeHlaLlIbJp8P6oomBuOp4t0/GnK04QmvpXZNZiAe+nvS rTJXG47fvfZc1DEQd+/M+150RxsM1Zvf7pEOxBUjiyNXHmjDGb+CVeHjAThK +NYXpxpt6Cpzm7j+5ATmuzT3caVfGwrK3fhvXPHBTB+Fj/z8rA1v4y8frtLy wSuylA/DI9rgeDDhlvh7b/ylPquvZVIbJBn7bj+X9MbFy8S311a0wSTF/XT1 K0+MvDLatYR1YOgHDyc32R1rVb3YJSeuAy6OEu7Df92wLMNkq9AOHWB/qXj+ 2SM3zJJPaNlU1IGd69Wfw8TccN/HsVedhjrA8TfTsYPRFXubG9V52+rApaIb ah8ZjuFZReGmMkcd6MmK1Lz3ygUHb1/pWHHRAdHljLoTsS74TCd16JK3DnxJ JPv3M7rgVGvD9eIIHcjNYZqPUzmK+fWEGBbO6cDt90Sfn9VOOEdgmdU4Vgfs 5gWVuc2ccEF/tWh7kg6QZ+Q++Hk64ipnA5Opm7T4mLJUX9fZYxOiIFn7tg5I kH/U7j1ij+ul/+6OuKsDDzSIhU4LdrjtR5X99se0/Nkn3OnU7PCQr36E8ksd OKR/8WFJ+RFMH6b3zGdEB673LjqsbTmM4+34G57+0AGxdxyksLJDmM3kd+vq pA6oub08pnT8EObfqPiUuKADDzen/QVarLFinO7yg626cFCCevtW7kH8yJ2P bnGbLgQkUbeiIwextvnSNhM2XXi+2/35PNdBbLq9QvANny6cax+WC48/gK1S dQym5XShbtGrsix6P+4L4sU6yrrw8sm34hDifmxrvWgWqa4L0Sr7FxW27sfH BcptWA10IXvb3LsHPFY49KZ2qIqFLvzzp7C9hX34ZpFWpa+PLnw/8PXkoZ+7 cGu/a2uevy7EevWK1SXtwkvbMwffBevCRlNeeYbKLrznxOoW00hd8L46sjci wAKvar2yZEvWhd0T3zfTt5lju+eHJkoe6YJo/bmdlScpOG7m4tpwmS70LlJ8 KhUouFT8GQd/lS4s9Q2UfhwkY+Zocb2zL3TBfouOuL85GVMpYzH7unXh7ddh nzMqJCzQdVp0dl4XJiipL+7IACZtFqtL/9YF//vOrq86MfbXHCLarOjCowmP g6w2GDengdeLLXoQ3LRhOuSL8KkjLJUpPHpQfNLlSM1DU9w3nGOpoasHP5o2 e41PG2E6ns5jroZ6kNL3Q8Na0AirkjdPXjfVA0vbT77vqIY49q7rjU2KHqj6 efGubhpgbR/Vie7DemCsiS+55Orjq4t1MYGn9WBryHAQs6Au9u9NPeYYqQdG Kqk9fj06eG+ZK9EiSg/8LwXMtybqYKYAli1S8XrQalXb4UCvg89MHYruztQD jhk51/R1LewxMn1OvUoPxsxKb0WLaGJK/YujIjV6sMtnt3XPKw28I+8qYnqh B1qNV8+rHtLAQ44GG5+b9CBamHcgNFwdH/h0/uzl93og7TYe3/xeFZt2C5+Z WdKDzYGm5LEeJSz8eMbh07Ie/GKUGVIKVcJ/kl+avF6n1UdR4UaJmBIu2+2+ doNBH16dVFxyPKGI5ZtLI/bw6YPuiEXVhJgC5q4zD3+gow9P2rNdHcpk8ewN EbtMA30gnBdUv+UlizsifhqeN9GHy8p2bF+kZPFFw/RlO7I+/HrZ6rc/Qwav l385zWKtD1vEarPzLkrjsQenQr2Cab5zwGf9mhS2Ed/4UhSqD05dRLkuGync dOWi+WSEPhxh/Eu5KiSFC09eF/KJ1QdnDcex5wRJfBw9q/HN0IfdJhxSyE8c 95YSZUqy9GHl6B4XxXUxTJRpT5q5qQ/ZgVu/1l0Ww1LMg44n7urDawm6n72V ovjL2/UN/yp9EI42/7ssJIItKRc8n9ToQ49azMkrlcK4roq9Z+6FPuQZ/WzL sxbGN29I3A5s0YcHrM9uCGcIYXt3IAd/0ge3f/c1vssJ4vfLsfGnVvVBa/IN u3ICH6b4ss1XbuhDZWmC/m8jPlzxOcP2D70BNDVcn5ya4cVpjXeVTrMawN7T j8UoNrx4f3LLmzAxA2D5JvxUS58H129Y6T6TMoCNmksXP8xzY42gTzdXZA0g LlNlPraEG3PYTJ6IUDOA+ku1lybkuXGHJCvXGWQA7r38jN4KXNg0LT2slmQA 6qIDic3vOPFDBrGRdTMD+Gu3mX3VnhMnTqo+PWtlALfNFIavnODAFuWWh6Jc DMCCePGrRxEbfm2WlnX+vAE0cI6kxfiy4B8ezzsjLhrAqNFmiAA3C2aKH6UP STSAbinGrp/VzNiiRf+Ea5oBfB17vO0ACzPuMB8kUu4YAP/ttn3uNUz4nYXs NGOjAQTqnvUXO8iAl7z2SW00GYC9Bu+xtywMtOdZ6OE/bQZAbtRtiG/cim3a Wl+OvaXNT8czN6m/FQ/sOpHRMmIAtY8nyOIq9Pjb7irCpS2GcCT3+Z1ARIe3 +n4NjmE0BGzzfOkuAx2WTWIuCmcxhNHzBX0Hrm8ijzf2PD7chkB3lm5KgLqB pvZsju3eYQjJdxn3zrP+Qwt7LVLZiLTrxBCrU8sriPdEUBPDTkPQGueiCN5c QbqXc1bXLQyB1JKeuYW4gkI7Z9x+7jeEh4qr8jdSltHqvqtGXS6GwLFNpPGY 4V+0xWrg25VoQ8g8z7/K82oJtb44LHMyzhASO4R0qyKWUKr6W1fbBEMYf6ak bqOzhKQ4WkelUg2h18V46sz9RQSdlWNleYbQyBptuJKzgKL3XJ1698IQ2o/d atpaMo8snrOpUBsNQaYi5/J40DziUknwvdlsCD498YevG86j/O1RM25dhvCW YfzerdQ5VN/mN/v7syEYir4USBv5iegsLBYE/xmCuEtYMLV5CrVWv9JepzMC Jr3bY4e8p1CqAg4ZZjACzdOSHwzZp5DUNv2lIjYjSAhmOtVkO4mgWeaPkZgR mKb+eHdqYxxFUzZXHEyM4N8L6R2Hon8gi4oIY8BGILrA63dY7wfikv0TIUs2 AqGgwSi76VGUv/Xn2sxuI1BN0BJ0sx9F9Y0D/87aG0FKq2GEIuU7oiNWbckP NwL2npiRLPIIsqeMt386awTVWm3nrelHUIW5UAb3eSO4teaoydA4jLwsI+Rj E42Au+iFggFlGL11QHs8bhjByObEVq77X5CqcwBfXp4RbGFKuCmr8wVdPJ7/ +WOBESw4aB36Vf8ZGXvTB+4qMYL1WcEz2SND6E5oc4ZqnRH0hXuqB+kPovXw v07uDUYw1pSE07sHkM1ZRYXcJiOgHiiUN/YZQNvjEp9xdhnBPSmF3vWCfhRy 1fLLwhdavs/OZxYrfkKUkg8Kz+iMQXrsNUUs5D3KfbLt1y8GY7iXS7ZVlH6P lp8a1iizGMNAw9wOn94+VPIsZ+9NbmMga4+nRuj3If6Wo0FR0sZwQWpxBtje ocD2K8ZUeWPYTD/b4Pe6F7V31m/9pWwMgmauL+6e7UXn+qQzj+vQ7md1ZEp5 8S0aGxmr2UkxBk3n8yJLkz0IfgjGnbMwhmobgbF/xT0oZ8JiX/VeY/hInfy+ 6dODLOcefFU8bAwb2YW87V+7UfW6PwObhzF4l7SRL7F0oQTBv/t6442h42e9 Ue3jdpTR2vq9MckY5KuYvgseaEd54Tnh5VeMwf+3g2vNUhuqGiTczbhuDCkj hew1uA39yItbt7lvDOal9dvmvrcgkiLPw8FmY5DIV79691gTsuz/Dh3txtAS 62TtLNCE7BIrP9R20fLTN21X6XiNAmds6XM/GIPoL4aZKePXKK80z85lzBhG Ve5nx8m+QuuGasw/GE2glm23n7FsA2Ke2rj1nsUEBBzW2Jgm6hHvjR6dZnYT mJPeW3OzpB4p/wtxvs9vAuksrfuFDeuRXUNNlbecCVzgi+nof/ICVe2ycJ+l mMDCYkH459DnqHFVeO2LhQls9xnIkRd4jjofTqd27zUBS3onufaqGjTKfqW2 9JAJeJFfFm5ff4Z4e9/zhriZwK4yStqna1QUaO/a+DfWBJrjqAe/balCHHlT w6YJJuBbkjzU+agSlXwP2oxJNgEGM337SftKNO4Xbcp2zQRCYu2zWqkV6GjU rSqpeyZws6U7cvF8OVp/Jfve/YEJcF6JzXE3LEc5zCWLDx6bgOYmveHy7FP0 /mqNpl61CbxwF9c74fwU7S38+GBXqwkY7+iQFNlXhqYmjraldJjA1a2TYnys ZShBbWz8XY8JbLlPkmVtL0WvqpZkj/bT5q9zu/5ldykybuPOC54ygcy1r7OE J4+R4uye9BtspvA4+UNYve5D1Kz9rmyYyxRuEy9MT3U8QG6n7Xvk+E3hcuVE bInHA5RH581eKm4KZ3cLzvbnFiMB3ovxr9VNYdSQX1pyRxGqOMJ+j0XHFIz/ +JpSmu6jgzczXlsamELlwe3s7T730WW5gi392BTM7Dyzh57dQwyG9ZE/95sC 86PCT0c976I7Z8xztA+bguxJY8k3/HcRNHRRT9uZQlrNg5JjTYUocvfn31uO m0KynpvbgkIhWnBcDRAIMYVwhhs/f6/eQSMxum74milsHIo48eJTPpIX4EgJ zDaFnARh3xM5+cjnwXj17VumsG9dZx+PUz5a6s1hZbhnCg/1I/gPtOchZtkt 5a1VpiC2fmd9dPMWUm/u3HLwkyn0M4k0llXloBD7+yqxQ6YwFNHH32edg6iz 0Ycrhk0Bq2ZfNVzIRkRB3WKBSVq99Jmyb2lno0NeOfsHV0zhxdXZr0EN11HE ds88N1ECJFz3mwfZa+hlLrRdkyRAZrezyssPGYhBR2SxWYYA5z1stkUlZqDL Dp1mSqoE+NDds+fO73SUX6Iz+9OUAPWeqcWX+9NQiyUd4fRRAnj5THaU9KQi tu/9HkXHCUBVDfztmJ6K9p8uT+33IIBuG5N7m00qGsjzGDUJIMCpo50XfF9e QbPzHUl00QTYy8lhOPbrMuJLzx64dJsA1k/wsMntRLT9Pe/b4LsE+FQVyOqx MxHRCaa0OBQTYBSiJRamLqGfOecr1MoIcHI8QpjH+BJqvuOb8raeAE1vcjXy x+NR2FMCSXiYAC+OFJB8wy8g/6VqQ/pRAoi8JdjpaF5AbvraGtPjBJhcrur4 MR6HDtTIi9XNEaD96IXxabs4pNzI+cdlkwAdPQefPTSPRZ/fjhQXSSDoTvPV 2mkWg/p4HfOvSiPQvYlae1hiUPvhD5kR8v93vT1CrysaVfW3x+5VR9D39KbD ObtolDpS7jRPQMDkoLI/dPEcIv26wG3ohECJ7+T19NpIZKhDx7zjGALP3311 2xwjkfqpiA0WdwQ9rDIu3esRSHTFf3rQD0HT47veRFIEWqKzbYo6g6CqRKx1 +1AYuselHN5yA0FEdGoQg1koUh+zW2bIR8AnHnDP99cpVP380mlSIYIH4vns ormnUKvH5Km6EgR/Jtd/wNpJNFVbFFxehyDAOPGswusQFJz26dd8A4L9LUty B8JD0Jonc5B6M4KEI49ccjVCEBuvV0BxF4JoRUaBq3nBSM1bwS/vK4IFQUNs kxyEqtCR6aHvCIr2rBmK7g5CiC/eR2QCwd5uxo9fmIOQ5csxr2vztPn8fiZY XQpEgfz33JO2YDDj/cr4UDkAVTTIOp+WwZBsvy3l3UNfZHr90JcKBQxbKh7L fSH5oia/OKcFFQx8TONGRwd90AfBUYcTuhj0L4h013H7oL8nCmxdd2LQrG0R CEr3QtHkdx/zd9HGX6Qv3DDwQszCW4982YchX7Z+u8QXTyT0+vhhOxsMWUky lRPqnshYRPqglScG4SrF0ksj7qhx7sDbZF8Mff2CpuevuqM9TTH72wMwuCnv Ij0juSPHwBHLnWEYzm+8ZX9W5IbONefvMblEi19BpG8wxhU1BEvuVHiI4YJ8 8NMrzsfQ6u+5VLEnGJ6e+35iUPoY0g2vH+Iux5DtQF5/OOaCiqKOnVyvwWBc cFCNMdAFpSYXFLxtx+C/UCFUK+2M2jlPzjV3YSj9Rvfy6bOjiCGdYlLbi8GD Xf8Xq/VRFJb9o/feAIYiK4cfd5KdkMs9BfozUxgY9JOjLws7ohyl5X1BsxgO FYmtNjY4oL6S1myPBQz8PRkf+3wdkEW5t9aBVQyuZ00e7G6yR0LDhzV5GQGK /jlKFyfZoc2Z684TfABXmZv/xR05gm6qRzN+FwC4x/TcqZD/CDIM9Hr4WQiA UprxNr3PBgUvGv7tFQP4Tfo9nHfIBo2t9KfUyQIU83vwXHc4jLqYxF6k6QJM fx90PhxqjXwtGNwu6wNYdTLcyzayRsyJMyy04y/w2XKW3l4/iEjsdYfPmgLg K61rz2IOoireoz89KQAFTWWfXeIPIOvDZunHzQCStirZ39t9AM1nqhs5WQBc zpxur+E8gJRFNuMO7gV4ymzdKZy3H+VK5YsRDgGE+du7Hr9jhTgStVrVbAA2 T538R6VYoajFxhAJWwCvMtvz1ZOWyKX5R/umA9Cebz0qO00skbSfSnijK4Df 30qhtyt7Udr7WtlydwA4YSt77fFetBVb9hR4AhQye/Zru+9Fo9xBChd8AZKL hSUzPu5B96qr3puHAKy7sOqKde1GAjssYgxPAVj07rw3mLIbxSf2qyqdBuix T4m+t3838nJaj90eCTD2IGfv3w+7kPJWknbneYCTfB+dyqct0GPLzpSDaQAS kdcQk6Q5kqAeNSZnAAwkqjt5jJqhKzvmf+hkAkheEz6mV2yGApd4CPw5tPqk 6S9TNc2Qdo7t9MfbADs3Gs/F6e5Ed7ZOZbYWAKyWSn+/tECh/d6JJD27C9Bv FTqt8YSClnBudk4xrR8qLs9xy1JQ1Y/v5k5lAIH2p5hX+MlI3urU4r5ygCnY wzL5noSuU5nyUCXt+17ZuaZ8nYTCkpT+SD4DeJVEzo4VJyFjrYDCb/UAaa/T WPMNiajuzCqdVw9Ac7hpaCoJoz9PxubP9wIsCwUMbPuMkOb33uFbfQB92/Ty joUjVLjrYf27TwCL7meqPKsJKFHAMRqPAGwIM3D5m5kim9K6TYEFACqHFef3 W0Zo7nv0RhMvEfYnbOG7mK+LFAVPzA7zE+FVQXSC5gFddHy33Zc1QSJw8vCd D6TXRR9KtV5oiRFpz+M3NfUeOqj27Lezt2SJYBnXhLgMtGnnXcq/k3pEELRx Gqta1ECNuzV/XjEgAl3AGTVfXw20dlbs8wMjIgi1umi1jqoj/9Gl2mECEfa6 SA3dGFJDh8runtlrRgRTA/aqCyMqaMeebesyR4iwe0oNyOaKSPc9uVfEjghy /160mowqIDPn6CJuByIIq6ww8sYqIJ+QlUObR4mw+fCw7OlmeVRxY/rRgAcR AjmVclrd5FCznGLcWy8iUFvOBHlzy6FPT9zsW32IEEG2ZhGrl0X/Xn1mqvIn QqrdKboeGVlkNtPtfDWUCAs1H0SlGWWQbSibfkIYEaaWk7+qNEojH7pdbFER ROhbSbSVj5ZGV/gaqX7niFA69nBtZGMH+mRawW1xkQinPudvymzbgXwuZ73a uEabL+Zuyt1oCXRG8H327+tE4PM07dwhIIFSbnMHzmQTQfFHN53sI3FUXpko NnCLCJpz8d4FX8XQ+uczpyrv0uohFqkze1gUXVE/puBXSYTRz24m5eeF0B3q rX/Hq4lgZ/P347CaEKogDbyze0YElojFRcMBQfTJxjravI4IaNvrjgP6gkg6 ame/dBMRtIQZly6s8aOKbqWk/j4iMO3YePC3ghelyjTcXf1AhFu3Tzs4+/Ai 39O29aL9RNDz4Wt/JsWLpCXjfzt9JoJUMZs/JZUH/QuW4Ir6SoRnuj+Ctu3l QZ+aK5XzR4iQUJTVbsTGg674jzp/+0EE0df0NobZ3MinMTJi6wQRHhUHhz5w 50ZmArzXZKeI0LKg0fJRjxvt8HnwZOcMEYKQIE5n4UbrdcR2j1ki+Kkwvn8y zIU+cfePxs8TIc72QxTdcy5U7h64WbRAhHI3T33bLC6U8mybSPsSERpnM+Yu hXEhH/Y83ek/RIi6ZnLHy4ELmR3Tt2JbIcLbvwY7W4AL7ajs9FZbI0JuhUd3 mCIXWmd2j7P8R4SnPoUG+3lo8zmu5wZsEqE26MYkrHOi8tL0Z6lbSCB55txa 2EdOlMKg0le2lQSq2g/TZis5kY9t42wvIwkS3w7cNL/OiXaW2LEsbSMBc1bz NuVITiRF90uGfzsJ9r5SaDA5xonWrROQPhsJNlOrq6R3caKna1UhYVwkqN5u wc4sThu/h+/LuhAJSvQDvGzecKD13IfL4qIkcNRL2GpYxYE+LpB4sTgJ1F9n W0jkc6CnZgNqLpIkeCPlJPckgQOl5ARZxOwgwWBCUnxqAAfynmV2vSNDAmXj L45ehzgQhZR/9pUcCVyCOdKH9DmQVKZB1qgCCaQC3gumC3Cgtcmup4zKJED+ M5+0FtnRB4JHp7wqCZwesb0+2sGOnl79N26uTgIJn7nml7fZ0eUfGfTemrT4 vu3rXg1mR15GquKJ2rR8rEfaKzE7olx+ZfBQlwSta8fvZ25jR5Ij9gc79EkQ JpR8kNzOhj4kXIrnMCEB771nb64jNvR0SOqOBoEWX5rmqaQ5VnRZk1q7H5NA dkqn8Fs2K/KKs/oYRCTBr6kzZmQCK6J8GvuVRiZB5o33Pxz7tyNJ1XNsFTtJ 8JNTc0oxcjtajeJXeG9OguQ+FuqK6nb04V0J8c8uEohek7tkN8uCyhQojoJ7 SXD5387rvS9YUHLkYKihJS2+Z2pic7dYkFd38FW7/STIOpl3wCiJBZFltpdE HKTlN+AUZHKRBUmcvt184xAJYq6rVEalsKDVdsORWhsSNNi8sUktYEHvJXrW PtvS+uf15pW/r1lQabCnwKY9rZ5JSTl4gTZf84amlBMJ9tlqlS4ob0cQNKYl 7kyCyFnpa2+8t6Ml0S5tkWMkSCupu95bth0VNVfqCLqSwDSEre8+PStyDLql y+dOAhkZEY9pB1bEJXZBj9uTBMM3f3kT6ljR62Y/fQ5vEig23FojyLMhNTFT Q+YTJGBNzjN8w86OvjXLGDEGkGBjcbtYVhI7ygxiNaYPIkFLQui/dE4OtNE8 YLJ+kgTGteHK2YqcqCsoHM+fIYGdv6akejsXOi92DH6eI8EtySjuNDFupN9i QZyKJsEWn5WFy4HcKFdMiDwaR4JzSRefXxbjQQEtVWafkkngsfvGtH8UL+IS X9pXf5MEwZuBbK/NBNDrlkHLulwSJE0yxqndFEBhwa+savJJMB8k/kZjXgAN t6QdqCgkwZTE1CZKF0QZwREHy+7R8pd9wDIzIogsxI9bPy4iwUICvWiwuhAq C9Y6XFRCgtfaacm76oWQh7iwzd3HJPCy7WM2YRRGIq10R+6UkqA99/XrnebC qCt44kjeUxI4h3p1GV0URufFe2xvVpDgjFWTzniDMNJvrbbLriJBUM4wvcSq MJoKzrPPpJLgasvLXY/VRVCueLxDeg0JNM29BLycRdDBVn/H1FoS3L70NVQ0 WQQxhdg4XX5BAv1N5fCsChFUI46OJtaTAIT2qzz5JIL8W+Wc4xtJwLfz0A2N ZREkHcLuEveaBFv/mH6c5BFFH8R/u8Q0k+D4Dc6fjxRFUWLr0LFzrbT+u/t2 ao+RKEIhr49HtpOgIi7hSzpFFC2Il7iGddD6q9jow+Hdouhea7rbqS4S5MdO fT1Gs31IpHtwD+37j81nSaCN55Bw9QjoJUGtyLFjWYaiqLF1t6dfH23/oGr9 Pi4vikJDtL28P5DgZofgu2p2UaQsIeLt8YkEbq1CLJ6zIuhL6xYf1wESfBA1 vgutIig9ZNLHZYgEKgYxlXw3RJCIWUSQ9RfaehRyUe/wFEF3hFjDzIZp6zdH Id9LTQQpT984Z/SNth4zcodqp4XR0zrVC6qjtHg/J1XeuCOMjFPrkiTHSPBv b9X6xwPCqOG4ZRrPBAlOfp6xU1gTQj3bAvOWp0kwcFNrjemoELIdoLs3/ZME VRf1XbcLC6HhkqslX+ZIID4xOf9/z0uvKOnyt79IcO3wZ13v24Jo7kD5s9eL JHjheudlkL8gCpWl1Ff/JgHD/fYdSkRBtPGnr/nBX9r9y8en3YUF0cU2985b K7T1JpH0eOOPAOK4+edd6hot3jNmq239AijTP34g9h8J8o49dM5tEEDiRKGR 0E1a/xzfE3DwsQAq5C0e995ChmRe6rPaPAGkOmY067iVDGEssd3l1wRQBbV9 yYqRDI2fCESOVAFkmuSwRtpGhiX+iLw7KbT14jSzRZ+FTIu/LcL8qgDao3mW WYmVDEqqda7vrgugXnoOTjF2Mhioj0+J3RFA9u9z+Tk5ybB//lP+6hMB9O2+ hhg9NxlWmGQFyLT4fCLqpX/zkKGKyX6w470AWth7QGmCjwzccWwx/j8FULjk N41BATJc5O28vrFNENEtBOt3CZHhzi61Ums5QZTweiuhQYQMDM9f2FN2CiKu 6xnkCjEySK/zKN73FETXveV235cgQ9Dt50UHkwXRPQ7zI5elycDhu5/py6Ag Uh/56BQtSwY/qjODL5MQqir3cguRJ4NGLctyjrYQarJNDLJTJsO44Ul6dEUI 7VURDdurSoapgSPGR18Kob5/D89hdTIkXhB7EDkvhEbvdCbJadPmM7sSwnxY GNH/5Lr3y4gM8ZVM50akRVDiy9sloyZkyBz4QnG1EUHcadrlHwlk2Fci25p5 SQRJGRyqryOSwbgIm52g9XcRy4/mUjIZotYMjtdJiiLNoVOdBTvJULhv9Izw flGEY64PXNpFhhzIm7d6JIqarRVHzuwhQ8T2tz4f+0WRpfyz8YB9ZAiW+yfX xCCGPizvmj1uRYYFucqnc2pi6OibgaXDB8gQk594W+2wGBq75btmYU2G+0qc sYcjxNCJwPUtpofJMHC4b5xwSwwtkS4zaxwhA/WZr0tdnRg6wy/BKW1HhveT HmcfDIqhzjIWe+xAhtKj7r+3rYghCcvfhY5OZPBZOqe5wiOO/KeG58KdybBL wmDfLiVx9PJih/H1Y2R4bMXt88pEHHHJUC9UuJLh81rqXe3d4sjlZUHPW3cy 7Mg0kjh+SByVOVwRnfMkQ+/VlAUxe3FEvxzhweZDBqPjvER1B3F0MMOjTMmP DPci9igeOyKOCjQPrpv5k8HDsqY52lIcLXUQzN0CydCy/7uxLYgjirdSWkww rV9+7yp4qiqOrjHyf849SYbyx0ESDrziaOw2nWJtKBnezn9uF1sSQ/poJrg/ jBafOk9LY5cYih/4WPcnggxbh65qCRWIoU+hr5j5zpIh33dYcSJQDCnyPrHW iqLFfyDmzT8DMRT+JCfXMoYMtzb/Gsgui6L2PRcnfWPJcHaqJVm+TBSJTATp XrpABv0LJye6j4si3zinqHvxZOggxXhPs4kitjpd/pEkMpjECKja7RFBTnZS LhuXyUB3SanPdlIYPf7N+lA0lQyzx92uWyUKIyv172CTQYaK6vOb3/qEUH57 V1JIJhnOt5ybcT4nhOY9aj6kZpHh+7t3cRnKQoi49d6OxzlkEFJImQnsF0Rp eVf93twkQz9rjfmPREFUrMTYfnKYDDrNDR478rlRrxhx7cQ32nrRfa4PF2nn ac6zqp6jZIjuIuV0+HEjyz9LKXYTZMiiS7i0asyNlhpHrdE8GUILaraRBriQ RJXUBYMFWn/V/Q52a+RC5sWOVZpLZOD6/X7v5QdcKOdKn5DMMhmWtbhrXkRw IXB8/XkbHQUIGuRwA2Ha+duKjnMLPQV0w0/bytJxoXSSKaxupUBTfjf9sU5O NKZYcWdmGwVaTblMx9w4UfLvAs+3nBQQYtSgD7rIgaomvma1c1PAe2PZ7sQe DvR1ULT9FS8Flha81vo5OJB2Y7pqlSAFiuoO/LmZyo4+pcT+ypGkQIXfeNvf M2yI/vxL6YwdFCh4G+NXqM2GVE6tWV+WocAtnnmOxR+s6JxDSFWUAgXOCDmr c+5kRbKKrpFuGhQYs2891/iNBQU0kBjVMQV8zmRzvf/GhJiWtgg3HKVAX9eA x+x9OrRcmpUy6kKB3ry7SRdN6dD0CQ0GZlcK7DOfMmEu2CT0jDvOWXpS4Nl1 5ZJ3K/8IOYPVTUMBFIi8vUGcq1wlJGdZmtAFU2CwX+nsvYkVQtThH6UyJynA eU35Jbf4CsGtm+emTxgt34K0n2FJfwnqr04EL0dTQD/BnL0mZokgFc0wIRpL AWbwziI2LRJ4CTec8AVafNdVbTxYFwnLVa0WFy9RYI/Buc21vF+Exgcyknxp FIjW1djJNfiTUOFZk2GQQQGxUzuoB9NmCPdlD2x3yKTANs258dv7pwnJued+ 386hgLnuZLHV9wmCTVr/G40CCtDDzKSF5yjBwiqQaH2XAg9lrEIPOH0nmLBt qw69T4GttXKCRo7fCFIXde/UPaRAu9JqQ8qpYQIP+Y3gyCMKXBCtffVN6iuB ke74ZYZSChjGb40z9PlMmAq/EranggKh8cWfPY0GCEP68rP+VRTgMOq7o1z/ idC9WOuaRqXl1yoA+x0/EhpLrfsra2jXzY7s2cfxgVBxYsqyv5YCAy8j7TM/ 9BHuKce8Xn9BAXmKz9b8yneE7HFBY6kGCrCNMA99edhLSC58/IT8igIldwkR Lc/eEs4d2ynn2USrd/5sSNfXHkKgxFBOYgsFNoe3OHtJ9BBcB4O5HrdRQHmi 5g7vTBfBJovl4ts3FLDq7Wqw7OokWBzOX1vqpMDcLVZz39EOgjGPQZBQDwVy PAlHD2p0ENS6O8dMeikguzW5cu+TNwSpZDdH5z5a/5ruGrus+4bAs2vt7fkP FDikQlC1ud1OYGBKM7/3idafDNpX/f+0Ef42Kta1DVDA8d8viXzdNsJU1Evt n0MUGN5j/rXcsZUwZGpTxPWVlp/8+mBwQAuhe2VGXHeEAln1AxL3TjQTGqti 0498p0DGgUdlArZNhPuaZedyxylQqHZk9t1SI8Gf/9dK9SQFKP5/NsceNxB0 VzVPvZ2meTio5JdtPaH+Vakvwzwt3ryV252bNYRPNqW2PssUmH925toZagkh 12T+XewqBepFgx7+XbhLcJPStLq1Tus3/kIW7e25hPnJJzt76HYCXcdszb6L RwgHy5VYGbfs/N//A/8/3Q2beQ== "]], LineBox[CompressedData[" 1:eJwtlHk0Ve/3x80hJCEZGiQRSfJRqa0tnOeQNKBBSYkGKjJLiGYSKmMlQxkK FaWobiW6pmu+lwz33o98VIZUGjTQ73zX+p1/znqt51n72Xu/33vPc/fZ7Ckm IiIiJSoi8r//5KarJqFjNijy/98xN0+79v+xX/tXLcFWUA+c3rf5jw0abyb3 E/dkw7bMg9M3ylN44T8Ll2SPCnhxy+mRzzQKOz/IrXsR8RT07qxxjZ9OoWlM 1403SSwYf6hS0KhCoXDpnhJz15eQUv8S18+mUP+w3xh1uBp432f52i1h7n9+ cmmGMQcs/kioei2lMMyl+N6j2Y2QK/rpyfllFK7WWO0mM7UJguReT6ldTmHF 2vd+lkeaQUXb7wZBCiOSzXzKjFvh+EJXm/1rKZS29Hwrn9EK/Yb00BlrCvmh 51JkZNvgwfLZy1/TFP6WOhHW3tsGTuvrGq03UWiV99tpSgAXnm5+GODhSOGf ruShJi4XdLZlqp9yplA3krNS1owHX92D9r3aTqFkjPBxxWceXA7RnrR0p/Db S08PF+dO+BUuf3OPB4XuiTe7/hZ0gvvJcduofRRWly440f+nE0wuNia98KJw oXul8ubrb6A159jiNf4UpoUvPitf0wVKImXl5oEUxr5Pstgn0w2OOz/bmAVT OOOCrJqcbTe0Kx/YtTiMQnZ4bdaiV92gcjRnUC+ciW9/SDZtohu2cPhBOpEU Zjg3SKJZD3Scdo7XOEmhgWrggvnZPaDWl6Ax8zSFhQ6qYs7cHthm0ZCndJZC p8oFfbeleqHr+9oXMrEUTuxEreK9vaDuGGEvGUdhtMRN403xvbDjbnmnSDyF L9/rPhYv74We/caff1yi8MyBVVeipfigWeUdPnaFQtapBVnWi/jgOjdPZjSZ QlWB4JKoPR8yjvclDaZS2Pwo2eaBNx/4nVraA+kUrtoQlLT1PB9m/7O9+N9r FD7/7/augZt8cEu8Yt6bQWHlk93hO1h8yBxpet2ZSWHC9CrOfS4fhLZTHduz KQxeKGrYP8iHubmUoOkmhb1gHTAywYc9YtHe9bkU6iSVR9coCCB717Mfr/Mp vHo4bpmvlgD6KsZPVt6mMHnKsLtAXwDzZ5oqsgopPJYjOqJoKgAPf59r5cUU pkf9Kvq7SgA3m27rPbxHoUOfWHSupQD+Mxh4cK+Ewq+SxEbERgD7+ndy8soo DEhZJvvYWgDvr7X9l1FBYd8Kbf6EuQD0fir4pT+lMOiTnul5EwEcdLabTGJR qDASkJ2/UAC375+OSXxB4RQfE8mt6gIYlH+pGldJ4auyuBXxsgJY5PUn+1wV hUkSpWr243zwfr18yanXFDakNkade8uHQm3/J5E1FNaWym1c08CH4YhiElbH 5JeU5uZdwgfD7g9tQQ1MPZFZF6Yk8+Hw8gW7/RoplLq/sVQhmA8fR6+GHGyl sGnYeZftUj4Y2XdIeLYz+QdLXPWT5YNPvlLibh6F6vZT134R9sKn3ecLtnZR eL+ldY3wdC8sfVb1j2MP4y/xYQdrp17wmyVS6cCnkDqhsHJwTi+MtQR12fRR yHOZO+1dcQ+YGpXss+yn0GPlgdJlfj0QEDPyZfUA4xcPr5wikx74vtZjqukg hUUZDh3Kd7phvHTTau0vFJaXHs6ZG9oFcivMGmd8pfCy+Ee5b7pdMPep+m7J 78x8X5UOHWp5A3TV25Pvf1K4v7jzQaP2G9hJ16h0/aawhPU9+3dTJ/g2FObV TzD1St9KCYjqhLT2wPpiUYJF1Lxoyc8dULzNxTVTnGDC49yPv4o7oLLHYjRR kuCD3QYbfvh2AG/3/KiTUwiKTcq6fTDrgMH+KTMCZQhe2JD15rlIB0weGL65 bypBT2W7YwcbeaA00my2TZ5g5tQ9f9pv8ED36MMa22kEHb5aanwO4IH5tzSX VdMJHo+jLxWu54FDaMSw4QyCVsnNmt/1eeA+4R4xW4VgMeefoKcyPAiKIoqK MwnyvrRt/zjMhRhJw2zRWQRfV0mdPNbGhYzziqZj6gQvii0q2vCMCyXy36r7 NQnS3mmXd97mwuvEN1t5swlOPrv3OT6dC90qrA/suQRfltdHd8Zx4VNadli5 NsE8LUpswSkuSMw+K39Hh2BNfpiBRzgX1LK9b1zTJWikXlN+KpQLhrobl17U I/jB+OyBwBAu4G3TV5GLCMoVKo/pHOOCk9Es56OGBAvtGpSjI7hwoGRiwN2I YEe9zPmw01w4btYX4mRM8NpHvaki8VxIqHgtS5kQVPY7vWWSye+mxZ1ry00J rlMJ0/Us4MLjyngjfTOCm1I8zeZXcKGBCnihvoKgxaNMy4UcLgjrtm2WMyeo ZXpOfHcfF746QP/EKoKSnODlT39yQWurlPS/awiu3sDvSzPigUn3YFqrJcH7 ZXIt4+t4QLk1GVRZMfqZlcw28+bBkf2pG/IIwZ/HWqql7vIgeuj4v6m2/+uf WHJwGw+Sffb4x6wjmKyiXhr1kwes4EUphzcwekwefKlp1wGtvxX03TYRjFRw 0Y8N6ICByLGKjY5MfUtu1K/P7ACFc0/5y7YSVLqRUhjzuwN2pTro/tpF0Gau 3a6/rE74+9jv4ZkjBNU6/vg+9uqCHqmS2GxfguHp5lkKeV1Q4fR5D8uP4P5e f5fit10Q8MlH4XsQwe1qXkv9XLvh/cLD+z0jCSb95/o1a2MPVAcWQlQUQQNd 39GuCz2Q/WpoxvWTBP2cMqWKanrA1c3rRftZgrb3hzZXWfRCa/L+WdYJBFNG dAectflwtz931O0S42eteTYft/HhgslAddgVhgt2OPpc5ANp9PArTSVYKTef tH3jg47mTbopneCuyJDpMcy+E/N6O3voGvP+6RtOLVsF8FTSvV47i/FL1JhC eakA0hyzsixyCNYpffBaLBBAUJYw2OUWQY9HmRKHJYTgODrHISiPqfeo8REn NSEYg5vOpQKCjnznIUsDIcjHZvwqusPEW2AVuAiEMNjZ21xbRDD40CJJcQch 3ArYGS5aQvB36l2NbYeEEF151VHrATNP9fevsEKFsFuxW39lGXOeHjT+/rQQ YJe6iPNjgmsXG2NDghDUC7fzfCsYvQsUPV3ThfDjZ2rhhacEu83sdidmC6Gd dEbnswj++K1g4FoghPtJM7dXvSDImZPIelgshItvtywRVjLxasWUE0qEQEdy u2eyGf/T4R+uPxSCuIbTuQ31BPXuTws0Ys6FBy7v8uYQ1LSYYzRcJARWWavp 2SaCU8zXnfiQJ4SrEkpTc1oIttVXe2hkCiFk86Z/WW0E3dVftgclC8E5M+FR F5dgur1P7acYIZh8bIr73kHQ9bzY6ohwISiunuah1EUw5kfhAuUjQhg572Bu 1ENwBiszMm+nEOo64hTt+Ex/xBWtFtsKIX8BZ8BTyOzLUcOD6cuEcNpf7llU H7Mv8/WH3moIwf3lusvX+wnucF5ROSkqhDXTYg+WDxDsX6na9LxeAJqudWu4 7wn62+fnj18UwM/bMqqfBwkaGseKX1ovAN44PSw3QrDTZH5r4BQBlFLnKvVG CVpmt0tdfMqHhCvsVOvPBJc0iF+pOsSHdcaUzfFvBK+cORRlyuoFES5XNOAH wRK1kIoqz14oC/Vkef8k2OeQv6lWuhe0X51avmOCYK34YouktT3wy/mVvrkk jV/Ttjhvq+qCe782DyydQuN9zeWREsy87bvRl60vQ6OXtPNkxfQuaH0vqjlL nsZ86cj5hvvfwO0wVBhXpvGPoaTmXv1O2D23uW5UlcadIXZiufwOUK12O/tO jWHplReeJXVAtEKkSIcmjYr9pGSDTAe4ZD378lCHxp+yudutJXmgSK2/W6RL 48w/xT6+Ncy+HuzxvqVHY4g8J3gVs59NTP/0XzGkkRcRcfqyBhdk2OYd/qY0 dmoaF8TbtQPLu+6ytxmNAwk73H/MaocARZeNe1fQ+EJEemfNYBsIt4fWbl7N 5Pty1orYhDZInpQ+Y2dBI5FVL/bxbAP7nNS1a5FG29Utsdmr2uDx8KMnS61p tFuXfqtzqBWOJJIQfYpG4zkksLG6FXTMOkzn0TRm1wnbfmS2QkLk9yJFe6af SYqedS6tcEDpn8xRRxpVIrs/lHS3wOxHVTvfOdMom3DA6jyrBdp3OM0SbKXR wMnhmGt2C+At/0uNO2isfbs9r/9QC3y3Fd/w2pVGo1z1pTGOLVD48dJUlhuN iTJez5VWtYDaipJTRXtp1M8aVCyRa4HGHkvLW5402jSU7X/yvRlORbVMXNtP o8kZMnjh32b4VPcp6II3jRuvDKcdLm8GtuuSg97+NO5JZz08eLQZqIZZXnGB TLx5LtMy3Jqh2lzC+24w897XcF64QzO8mvnm0FgYjZsCncO1jJrheUu0b9gp GodVZCq63zWBBR4+ev0MjQ4UdUuT0wTPirf6PT9H4yKhzx2D0iZ4EmsYIB5H o9+KoHyfqCZ4ZMMLjk2iUbq9ueqeThOYPXgRUpRC47SCLwMnFZrgofad0KY0 Ghse9ey9Nt4IpX8jw2Zk0Bjl9UN+O6cR7pbrR17NpfFeeE20dnAjGOkpn3iW z+gTWtRluacRipInTwhu05gRYcbRWtcId/zbouffpfFgvLY2W6sR8haHn7nz iMaIef2DIs84oHtt/1lOOY10tVewbg4HbsluPjf6hEawOsqPPMeBnHe6Mcte 0Pjq4VD3+Y0c0N4yPda5kkb3jC1r1ZZxIKvqd2xwFeMf2yXzk5U5cCOrOe5J DaN348yvGu0NMFvxycXeOhrHrs5+IFrSANcjbsX/baDRUjnq4qWLDXB1x7FE qxYa9YYpk6NWDZCiopNU/4bG0cStSVbp9aB6SiF5pJvGuqnPzuZ410PSl/Hk aXwarUVc2hesqofLTZxUxz4al1nqaa5vrwMli8dpgf00lkVtfNd0vQ4SC7PT UwZo/KaTUWjsWQfx54OvdQ/S+DospZqM1ILC+J7rE8M07ptv/qG7qBbi9tln zBmlUajyKVfmUC3EWs3L3DtGY/irkwkjwho4O1GXM/Sb0Te9Pmz8NhvmGhyg 5P7QOL/ypL9ILhsqtkl+MGRY4eKXOsksNgyXrjE6wrCn6fIk6RQ2bPR68PgT w6Z5JuEfo9mg3nGd822Cxpr4rFpzFzaUSqzyVZ2kMfJLlr2aMxvsTTqVljP8 8YTn3LENbIiMU9oWwnDZ2tCyTBs29Fud7fvF8HS6ILrbmA3hR3VOa/xl9sG3 1KM5BmxQvfFy4WqGrWe0FhzQZYPtr9+Hwhneztr7ZVCDDX0L06ZlMGzU2yuS r8qG485mJSyG7eL6ndyns0HlZJuTgOFjKedGZsmxofie74+/DCtWddU2SrHh /wAa0LqB "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"S (scaled), e[t], R[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 50}, {0, 1.1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.417780757030686*^9, {3.417780794866347*^9, 3.417780822204377*^9}, { 3.417780898382324*^9, 3.417780927272837*^9}, 3.417780966539117*^9, { 3.417781036055008*^9, 3.417781045076934*^9}, {3.417781923339663*^9, 3.417781952164553*^9}, 3.417783503980027*^9, {3.417784078930561*^9, 3.417784121591579*^9}, 3.417842377659981*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotMutualActivationResponse", "[", "9", "]"}]], "Input", CellChangeTimes->{{3.417780762603326*^9, 3.417780775119321*^9}, { 3.417780840472157*^9, 3.417780877407303*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxdlA0wlHkcx1e3XkpKZA85752XxG5UXtrWu/Wa1/NSXiZp1zuLTp33l5TC oFMOq0iOM95dUmj37nTEccvljuYc3amGOxVmDeGumfP7PeOZeWbnM7/X73f/ z1/tbLR7yA4SiVT03/vhV71gvZqr3HKS9P/j0C3uMstaYGzxkNSxnWR/kvkW WxbYPK49JQEcYrAqRZOSBnbWCXlLsdtvPjT44XnOaB1LTug3lgc2k9FtIqcq AbPWiipqfFSBo/teGjY5qwPn+okdXI/QBA5+8sV5GvtTYJ64glu4rzYwbV9a yet4XeCgRbqeS4Qe8B3uD0rCPH3Yty3fdFLgTgWO76K7VjjRgHsHat5dPX0E ONTOpDvUxxC4/GtaR3iYEXDhYnd6zOdHgWfrEy6wOceAv7ctupWRcRxY5NTE TEGaMTDJ4luR2xdNgK98LHQW5JgCx/gF84WZZsDT6UbnGF+eAN5fXDpx9Q4d +J607sUnZSeBeRwVG61vGMBc1dtKdE9z4O6kVRJ7BFnNUfy9hrcFcPuwzrXf xpCv921QVf0tgYvjXocFPUdOklPeq+5rBVynIzoQ/wey2JKIAi/AGriW2pLC fYmsc7beZT3SBnjS/kGr1xyyoPrSYUacLfBKm9sJ9XfIm52cjstRdsCOVFub pGXkJ/4GoeFxTOCc9YHquTXkxuYY4eYm8kDhZOwr1hR8H2JCpX/IR3dD3Leh aVNDVwaYlBpr+IZBgfPH3BE4XRZzCJjUn35XPfkwMDmgIvSnUgOoVxyvGFpe x/n9ppkP5lnDMF/Tiub9meUuiE/9PXa5/sA+YOrvgezOJTz/7im072Zksb9r WHvnm/fY/1W9RHab1h7g0bDcxApjWeAAF95THQn8fv60yplZ3cD6H68LmMus XtjPMPSh5CZzJ8Sr8lkDkTfwvriUv7YwP4L95tsY+lGEfYQjRSZn9KWASyQ/ eRTUgv6ye4r43jz0LzVPxieRsI+Ss6XVyyr0Q3pAaDTRi3qM69o3ePY43351 LSKZ8H/3UWNZYuwm0GOaRDrvMYj3H3mKGjHsinryS4LEOE3Yr8tH9LUeQc/G i/Hi5hY8LyunZ/35kain3SrXkF6JepyO/CpznKAnpULyL2Yg6uEo8p6ZJaGe LP2G6FotnE+p5GmdIOgxeuihuLmE85RMytw4L3Deo/KMmx7SeH8neR1r7SHU 8xIb72qzK8GPHlGN4vU89MMoR45OMkA/bikWF7ZzcR/VQ2zb3QQ/MiJXH/vF oR/a5Kf6i464XxvZLIZC0N9o86bjIh31V/FraiP8UL/uWy3tryg4LzlWM/sA Yf+QYOM5g1Hsz1+j7AoRoP4pNdlzddPYb0ardC+XUG/BeS4qycX4hQsqpalL WJ/ysz3f7iD6J5c56jlFqL8voaMSyS4A/9Ic2usEUeif02ROjbwy+ld+Rm/c qwT1eN5QWF4j3E/WrdfGDTzRP3Mf+k1JM9Q3GzmvLEbwr6/0rHKRHvrXRZGX zrZHPcmCkCzZPTiveeIXQ0nC/in36z2YfOy/kpA9yBvBekqhQ08eId+vzyVK Iw/j/d7+yytz6BdzPuujYUK+dXAyu2EB86taTho9E2L+jIL6vQVC/vb7aHv+ 9vO8vf9WfHv9Fv8LOn6N0w== "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{98, 145, 146, 139, 117, 136, 97, 113, 77, 90, 57, 63, 15, 56, 14, 13, 12, 11, 10, 9, 8, 7, 55, 6, 118}}, VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[{1, 120, 100, 83, 70, 60, 52, 2, 3, 4, 121, 101, 84, 71, 61, 53, 125, 105, 88, 75, 66, 5, 122, 102, 85, 72, 62, 128, 108, 92, 79, 54, 126, 106, 89, 76, 132, 112, 96, 67, 129, 109, 93, 135, 116, 80, 133, 114, 138}], LineBox[{98, 118, 6, 55, 7, 8, 9, 10, 11, 12, 13, 14, 56, 15, 63, 57, 90, 77, 113, 97, 136, 117, 139}], LineBox[{68, 130, 110, 94, 81, 16, 123, 103, 86, 73, 64, 58, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 124, 104, 87, 74, 65, 59, 127, 107, 91, 78, 69, 131, 111, 95, 82, 134, 115, 99, 137, 119, 140, 51}]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], LineBox[{142, 141}], LineBox[{144, 143}]}}, {{}, {}, {}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJxF2nk4Vc0fAHCEFJVKopB9d93rXlxb52vfIkkSWq2hsiVESiESkqSspUIp iWQpWcqWLSlRFEWK7rHvy2+O9/m9rz94Ps+dOfOdmTPfmXlckWOnLJ1YmJiY FNEv4q9o7GJmmlD+TqaVnxGs4doXr0GXb9j/bfJqtfmAC/6vm9aprGE9yAT/ t06sfkXWbo5/7aQ4t46yjvtff/vbHv5w+8Z/fSA3b1lMdtO/TuQUfHkk/z9/ cIvyT6Vv/tfe2yo/aQT9Z+6GaVrX6/88czqssbL1P38T2eyY0/ufa5oy5uPG /vOTANJ1/1U8MNpRKjq1jGOJEi9lj/DwwBlBN9rwEo6de29cZSjBAx0FY7ws izjmHNxxQFGFBwqLVmc+mMMxMxmnUV5DHthoxvtt4wyOzV05XdZtzQP76iIq YyZxLJsRFnbPmQeok+IhS2M4xlr4gF8pnAfufHtj2PQXx0p3DmqbveWBvqWe 6MM/cEzSyj3+ou4WENdMZOQ3o3EO8aKOYLzAyDJmu/AAx570Xlgs2s0Lyd7i Jevu4ZidXnxt8GFeuNy4/0zKHRwrWlNgxxnCC67j4YoVKTjmkTBxUbKcF7as 32Mmch3HOnPOtNtrbgXyu9Ds3edx7Fl78Ol6Oh9c4JdSPm+P4g1zPNZnzAeN 8i3scrY4lqZiunvelg9uKRePft6PY1FJfDIKwXwwXrdzx869OOZgX/A1rpIP 3hh2i5FMcIzn56CujQk/LPRF3n1AxzG/8b2bftltA4EisiQTH4rnnvryssc2 SJA/tGYjL44d2ycyzHduG/xl4IISPDhm/oLx1iRjG/Qy1n6y5sYxqbORAU9+ os/bJmy+c+DYZ5bX30+f2A6lfhx8UXMMTGOTbB5riACcUvq2Xfo7A2tmtq1v ihWANgsup7s9DOzIaOSPxAwBUEuoP7Ojm4Fdav29VaZKADTiPf6KdKHyMTnn zdgE4abfyGvDdlSeU8Yy8YogFPXUCvPUM7CxORuPwymCkLz7RlBJLar/53K4 9GNBsIhs8zhaw8By6gdLS5sFobv5wUJxNSofkS32baMQTNd99gsvR+VZpSel koQg1v9V0c1CBsY7sX/DaLYQiGYU5zkWMLDsHxEypSVCsMdgcRXtGQNrqvp1 cNcXIeAVHMjrzEPlL2TVeArtgKimjjx4hNpblEwqubcD8iSVJQLvMjCX+fjU +zbCwHdjpOFCPANLMB+uDjgiDFuunFDMvMbAKu7o/zFzFYY8gwGtmjgGxmc0 ozJ1BvlqkdnGWAZWl3Cw1eCmMIyeKh0qvcLAZEjSqwY/CkOyeXnFgTAGZn3h gszLbmF4EHAhOOESAwtt79od1y8M9qI8Ja0XGVhX4NUU+qQw5N9QvGsWysCi aseUI3lEoCxlYdwmhIENHXnlKrtXBGJveR8sCEDtF/LGLtmKwJ97ye2syHqr PZ+3HRMBib3Gd/f7M7CUx6IsZ71FQFDwrCrzGQa2ay4i+d01EVjNFcTu6MvA Hl+3bPZoFQEd7qNyzqcY2KmaX9Q8M1Fw2aXTs8sZ9Rdy3eWtRWGLt4FhiRMD 4y7zzMw5JApf1TxwSeSnebOb7p0SBVp4yxibI5qvJM6xpGuiEEcqDWk7ysD8 3BWfhn4Uhes8pdGZBxlYTf/4r+VuURBrCC8XRd56pHhH8IAo4L9jOTLtGVix lXbsmWlUX+Xo1wd2DGxWa+9JD34xSI1r0y07wMCCuM/IWx8UA3+nbdJbrBlY Y5SG4wcnMViM3P7x3j4GJsjGlGJxUgxMLOrOKCOXz17mNA0RgzCFhRsHrBgY 04/bf7A7YhBYPLiYa8nALj4vz5bpF4PaS7T6c7vReNuySyx6iMNS4WJApTED 20nmmvrtKw46IXJdXsijbJtqPwWJg+05wR5RZJt8weNPo8VhesCkMdyIgUlw KD92yBWHVi0DIWtDNH7PHZQbhsRBMZU7bKM+A/O9cpz9xbg4LBhWRL/TY2BS R091ZM6LQyn+SjwcOYbrbEAwpwTY2IkyL+oyMDuH+FdkOQnw+vTEdFSHgU1x V+rfdJOA0/zitHFgYA8HangveUuA7g6zl8+RD75s/OUZKAEFEFbtj/zG5XOk SZQE3D7GY8qEfK0cb1rMkQCZ6tOiWzAGJu8hZO34WwJa6sO37dNiYA61Z50p rpKQwCveKqXOwBw1Jc2nTkkC5ai19awaA3POb1UuOyMJtKZJ9XfIrskSbPoR klAvcF7AE/nkqZZMmweSoPB2VL6czsACt4r1hvyUBJe3NT/cVNH8RTfV6Q1L gqCP4bw2cjCz/9M1E5Kw9TGXMz/y+aHGkOurpMBXuVipXoWBhb/2E8oSlQJS qEqiPHK8S4Nd8xEpCBiXm2NWRuvzq6/udVcpcKNGzHbTGNiNPTvkbDylQLhQ UacUOUnDd643RAq2bpB57IOctkHo1mSaFChaQtdvKhq/F16fBLqlYOn1y80/ lBhY5Wr+Pe4HpCH39S47NgoDG8gkmXQelYYbYX1Cv8gMjAv0dA3dpKF13kWi HtnG/5Sy2FlpYJlmzFxFxgff8n9JkQbLyfKcbciCDd59Jt+l4f3hA8WYIgPT cb78pXhQGkp8uVwlkF1Z0tolR6UhXpPZkhO5UL2+hoVFBoQyb7d1kBiY6aMd j0rFZOBt+4C/D3JAdKOPrIsMcNswjRQqoP5I93kknZKBA0uMNWnIb95MO7H7 y0B91HXrCGTuRVGbvssy8C1EJdwWOetEgObthzJwZ9156irkj+aSbGsZMlD5 NdfloDwDo2w8n/jbVxYEHvkFKskxsFKODunaIFko/NZuKoqsw0Qqu3dJFg55 Pty5CdkK//LtcIIsYF55EWOyaL03qcp8KpCFamOZjELkl5F4WdWYLAhKLOXt RNa/YGCeMScLSwHLAWTkZv/U78EscvCmyfmoKPI3F1M2tU1yINTjFMGOzGKQ ZZ5HkQOWP80yrTIMzIjlcG+ypxxcOsOa6Ir8fva5T4C/HByon99mj2w7ysW+ /7wcFA40luxGdv9eKrspTg7Ci0T1VJFjynl9L+fJge3yl7DVyO2BzeynGXJQ HJ92LVca7VfjWvLmHvIQy7n6zGrkdZuYWtt95UE2z3jNohQaD3KVj12wPJxh n3o2hsxz0qDMNUYepqOfm/Yg1w2am1x8Kg+qAdSrRcjknsOuxRPyYF+wV8Id uXtBhAtblIfJvgzeY8hR23/mvWVTgC4HHYEDyD9tXKfbeBXAaX+lgyFy0gfP 8L90BXD5pN0tjsxUf+GeaLAC4Bvj7X5Iovz9S9coJ0wBmiaFg78g27KzDyvG KEBqa8TTD8iFulFUrXQFCNnguOsN8tFjuzqqsxQgSkS/8CXy+gvrz5o8VYD6 O9sUniO7lsdX7a9UAEq50Z4HyFu6rZx76hWAn9VuIQ25ap53rVObAiR39b24 iXxqW+fjoS4FiKsuuxiHLKCWvMf7hwJIulUcjkSu339wcmZIARRPNZqGIvv5 7bgVMoHiU3xleBZZ7EavJvuiAszknNzri9xakPk9mo0E9zoEJYj4g9ucLm1e T4KzJsNBH9B8yI5KSd/mJcGaa1UeFuh97djw553wDhJcdTrSsx6t10uk3FNZ UiQoi4+d70L5gmJ2cjOJTAKXvynrI1B+63Envyikk2Ct/ZnHf1C+pecULlUa k6Aobn6/Gdov+mv97hpZkmBkJDqN+xDKNwN0gxZbEvDLbBDY7MLAhsVeXf3q ToKt+qtKLqD99k7aW4HpqyRguAtYG6Wh/dZevmNfIgkeeoxkcWSh+dt2/Vph Gglie6n0NHT+iEk8wu6dR4KmNwl+KhUMLNKqtqL1BQlGXYQLlOpQ/JtIZxUr SPDKWX9iqgXlz5h5fLiVBHhF0PIHdP46vevYQ9NOEjzyzY8b7mdgnmvrHR/2 kmCzZ2hQ4zDKz+GJnS5jJEhTUL08MMvALM9Rqvs2K4JG+1b/3I3ofK2ZFKwt oAgpyyy6kltxzGhuSTVDXBEYHg8rfQRwbKdfY+5BZUVoVsSH4iRxTO6kS+Jn a0VY5ht9zKKGztPyzRaqhxXhq2f1KmMtHBP9Q+NMdFEEOdvcklPaOMbnzHJ+ r78iRJuQDzkYo/P5odTjzbcUYavN0bRVNji2vJ1VXOGuIvz+rBx7wg6d7zvd eq48VATHud0hFYdwbGQffa9xmSIUXZ9+Ku6EY1/NPmi++aoIQ7fuHJv3xLEO TvVp0X5FYHYUflTlg2Nt9Rn5F/6i+s8K7/j74Vid/klJbEkR+g7mfXx2Fse6 0lg5ujeQwZupq+xkGDrvLqo6cfGQYdFtkqU0Asc+2rtXafCRwbz6zrfpSBxr 3dYWdFuYDK/v943sisGxmsT00f0UMnxUNC9wTsSxN5Nt5hHKZNCNWr92TxKO VVqx5xapkeFJ9EI1+TaOvdx0wnmLDhmidG5FvU/FsYIY9S9tlmRYz2w0nY7u F8eS17OVWpNhzwJHsAi6f2zK7iPdsSVDvkR2fHIWjnlWRoWeOkaGJPYxscCH OCY/0SXD5Y2eZ7ojrj8Px74w5e0dP00GUwMHC3I+uj+suxjcFUCGfmO7Id9n ODYoKfc++wIZptQdYLgQx+4dOOuvf40MRfc4eG+W4Nhe59135W+QQajC2qGw FMdYfMQaN98ig6LFx9jGMhw7Ev1uR18GGdq3s878fYVjAq+31557SoaCnWMT 05U4liD+cktxCxkOxlYPaNXjmC4lDkv/QIagSzeZtzTg2JiW4/HwDjIo/Fr2 GUS22M/1yuobap93KOdSI45xRdk7jjLIEIbRTRJacKwskRzzeYwMd7+N8Vi0 4phbJmvx6yky8Hl9q+B4j+bzZS5nzBIZnacvzHq24dglfOGZ7HoK4DysEUIf cYy60Pp14yYKqFQPT1Uh93HcZ5/dQoHGk1kljp9wDETNbGsFKRAi7OKW0YFj C1apzI4KFEiKMmqa7cQx31Iti9RdFJjQuX9sZw+OPbetZem0oIDaaa+NdchT cxbPefZRYIz9vcvubzgWoOG4LfogBZzGu+n7v6P77Muon4EnKTAUtDF1Vx+O vbbnuVnkTQGtSPOyN8hMi6nGY34U+FI/8lEd3UdDtfKfHA+hQDk5VFLkJ45F lHf428RRQKzJitbRj/p76KhcQgIFzK6WqMAAjq1d/tPdkkQBj6q7QVnI0diS juEdCiyE8497/sKxuArxdSrPKBD4YvnoyCCO3a7yurO5nQJsE9svZg2h9+XY /N7dnylgmC9JmkEWWBXGfuUrBdzcsq8YDqP7qG6SO0s/Bd5liJ/uQ858U648 Oon6X/MidQ0Dx346Gg3Kz1HQqeePvwWyJFvbbdclCnBYTlASkbP1+5e/sSuB /2W9PUI4juXWcDY0b1UCFT2DBpERHPvrfCNorYAShE8obDuCTFq9Q9FAWAm0 jaROpCLnGyolvJJWAvlCksKWUXTfrrM5lKumBCd/S1+eRX7dcH8s0k4Jrpqa Mt0aR/drvlav4MNKEPs1WrwG+Z7z3IingxIUpvBkjCFHsezG97srQcFvsyzj CRyzUp8ZkjirBIKlMZojyH9yTPorb6N41n6IEZlC+WXa1/F5mhIE5L8y1Edu 0U//kX0XPT/pRpArcmHveG/sQyUo38s4+hg5hD+152CpEuybpu2hTKP7eSTe MdupBPb3/faJzeAYewf//r/dSqA/+ughhjwrrvfpe68SiDesTrJD7qlIaq/9 rQTfb+lqxyPnzGi/vzGrBNSX7tNzyDtdExoo/FTw86qUL5vFMUpRubGEIBVG /6rlvUcWZ/1dxydCBdmA799+Ia/J0KpdlqbC4uvjezbP4Vh7x0B1E50KjSmT sc7Ixw3VXh23ocLrD5e9lpEZ0vxv8+2p4PhZ6POmeRzzXjvbOHuECufkVo1L IAc1FX+NPE6FEZMlE1PkuL30hZxAKjBmpOPjkbco87GOnaOCROCp4kzk27wz nOoXqTD4liW5EDmz88X2hitU6I99kvwRueiwqsafFCqkPfF8wLOAYxraW3WV 7lAh/r5Nqxhyhei0SeB9KrqtuJcrIdf3F9mufUIF0UPiQ7uRv7qrBMq+psI6 0M2JQGbxVy5x66XCj7+cJ/4iRxzYUvmsnwrjuf4ms8hcGpN1c7+p0CadOMu6 iOJdKvwcNUaFW09EW7cjS1+izTxcRYOL01E+hsiPnXiYxlfT4Elk8vgeZCXD idUaXDQoqsVN7JE11xZufcdDg3cL+SGeyLvjqKpDEjT4qBoteBO53WszRpWl gduwiGsGss3ecYOzJBpYzT6KyUE+xltgzalKg9A3VO8yZL8UJT85Ixrwav25 042ckk157u5GAxFyNKfAElr/nQ516SdpYHjMlSKGPLE28csHbxqkKO/XlEU2 PTHHrHmWBhVVxSx05DlKtTlXNA2W6wPsLJElHSaPQhxyY3SBDbJlgtRp3wQa yLKZjh9Cfjh1JflrCg32pDnJuSMfKLMazH1Mg0rGk8hQ5EvD4fPf82kg1Fwp dxn5qWDJ+i1FNGBdw1pyFZnjvKBycDkNjq82vZ6EXKw3cMGshQZvb/hbPkbm bT6znTFCg/WiL40/IOss55BEJ2lQnudY0oF8kvxV23qWBo9OHeH7ilwTD67l zMoglcd27yfy6f1rnsdsUgY+A/+FCeSMyxp1VbzKkFRrOTyD3Fhy4svUNmXo 6bJvWkAWF2hjPiymDDWCrx1Yl9F8fL9trkhTBt8Z0q9NyEybmo460JXh7NUC J15ked1l35uaynCa9PYTP/LF+w7Jy3rKwGly+JowspKb/GDLPmVo8Hh5UgH5 2virC55nlOG+W91qfeSTbXFH7c+i9nDP24bIu/IdtI1ClCHycbmYCTL7qTXM whHK0OYUun03ctAfq/Mtiag/+qGZNsjOvUPnSEXIdnYUN2S9ivJD20qVQfHJ PHggi6Rf28lergy24Q+NTiJ/tVdd6n6rDK1c/NreyHs+hwZf/agMv4sG+gKQ NVv4g4YnlOFxhvJYBDL/k2G7zzPKMHQ6KykSeSr6tcabBWVw+7FL7QpyvonT fDKrCkSd9z8egyxZ8zTQlEcFqHpOEQnIG18ZBjykqsCOkYeN6ciM5G0HElVV IGAyWugOcmPgX3qohgqQf1q630UOp1+fOaCrAm1k36l7yAsFPWfW7EVbl51L Tw7ywMPTfq7eKqC5feHnM2RrwaWebD8VoJl0ry1Efhsbbvg7UAW81h+Vf458 z/cmn9tFFag2DTn2AvnYzpJS9wQViB9nSy1DbnuqLZabpALzFzPvvETWFmu4 MpyC+hNqf/cVsjDHF/sT91UA0ziS9Bq55/3C0skiFfDYstemGtlcL8wlr1QF DC8FYm+QXxWta8XLVSDJnyL2FjklWeiOZ60KLLV4fK9BtnUCXe/PqD/Ye2oD 8seZixGn51D8XDlGrcT8uXONPF9Sgeic00uEC7sTbKZYVKGOGpX/Hjm+6r7M GU5V2IEVbfiAbBFd+85fQBUSQ40ef0SuWNpNKxFWRfk41PwTsqLX55RZcVXw P2v3l/B6698nAhVUIcSdU/wzMf47OLmDdqoCJVvFr4uY//jr/i91VCEwRY/t C/IjVoHeBQNVaPMhxxOO+i3/LHi3Koj4Vt7/imxUYG4VckQV6HXVhT3Ibwzi k0JDVeFK1F3/PuR+57KmwHBV2GPzqpcwe8RPFp8oVVi1ytn4B1G/VuWEQ7wq GIh78fwk4jH8oq13VxVG13y/1Y/8wUh8iK1KFYoUl50GkSdczYSX3qrCuuMs pYR5Iv32TdWrgrZFF9dv4n2or3s98F4VIq225hHuMj6RUNurCtZF1IE/yH0m RVqRzHQYsk4Q/Yu8yv2b9wU2OjSwFjsRFr/CkR2whg5VfMNZhJ3f2W5y20gH 2Y54GQbyH9PlARMROrzvNBDFkcd2GcVxadNhMKt1aAR58wmvt6z6dCj0ChAZ RaZdvT23YESHQAUHa8J+TcOOfy3oEP1tTTnhObNras1H6NBZ9/3SGDLz7q6+ 2PN0uO6RODaOXFe+T8z3Eh2orx8ITCDHkd472Fymw+1DEgaEhdfX/RSOo4PR Dt+bhKHp+UB+Oh06BsOok8jnTa/9+VBOBzcV5r3E/0+Myrjkiqvo0OxQ60uY W+6ye0oNHbI5+BIJZ6wNGXZspoMxHOogXFHvwZjspsMqgftW00T+MzIa27pI h512vhozRHwvqpUWmNRgtOmaNeE4KcznO6savA+38CIsvFplIptLDSSiiu4T hhqxKTUBNfDgNlg7S8Sntzxrp6EG164GVxM2KgxUB0wN5s5qdRLmFp8KFNdV g/Cd+QzCGav+zg+bqMH1c8V8c0R8VV2LwbZqYJHhcJwwk3YRc0aAGoiSNi0R ttX71fA5WA0GTyxzzxPryZAvYWOoGjSNZYoRdjUPlLwYpQaCRVuNCL+322nq nKwGG6IarxKWP3yKJz1dDRYOJKYRDj+W0d2RqQaHdUXyCKsfZ/E0zlWD57tC Wgjf9atJkH+lBhyn/dctEPkrYPqgU6Ua/CpxFCBsHSwtlfZWDXpeb5UjvPZS VMmGZjV4V//RkLDPNfOesR41yB55d46wXu4nqRImdZhtPvWDcFre6tFRVnXg yqbhhGee0Utl16jDusnGOcK5Jbd3pWxUhxC3wI2LyFtqD3mFiKrDPejSJDzQ O1Cqr4d8QS2aMPRvvXTOSB2snM7fIHx70MjsxS51mDh+L42wOf7wm/Q+dXC/ F/aU8IuFk6xczuqw6WJJG+HLW6fN2iLUwY1718Yl5IS6uh9VV9Dzd+zgI5we cDugIFYdHDd3CREu+qJ1P+GmOpC+cMgT7k+/tGCdpQ5fzC31CetIb3r0pUYd 7Ho6fAibd/6AxgZ10JcyCyB8IOr5p5fN6nBlR945wp7DNixpn9Thp4V65Ep7 T9MPHBlQh0p+v1TCC3QFjn42DViyfFFFmOPPUurHNRow9p6nlvDm5FZqzToN MPU99o6w7KLP4awtGnBbouXDSnuVpUXHJTTgjenkj5X4jY2cGHoaMEN6zLyM XDXHP99jpAHHFeTYCDc9Gopr2aUBLAdSOQj/XBf78qmVBmxXP7yB8Oa2j5t9 HDXgscVBAcKetg5V0xc1YM9uFRrh9el/vmteRk7XVCWc+8Nr+UK0BtznV1Un /MvjvCbXDQ1IDFsDhA+FpBYJP9CAbFY5U8K77nU8NK7TAJGRxMOE/wweqo9p RPVdFo4Svqww8OtDqwY89bJxJFxdNCF+qFMDSlomXAmr129M9/6jAcZtVV6E pRmm15O5NKF7oP0CYccztq0SWzShUDUmjHA60/F1TwU1wbxZLpIw7+bwiDck TRAP5YsjbJmS8MZcVRNaPx+/TviqRCZzJ6YJNzzuJhJmpVec/WuhCVc/NqQQ hsrm4jMHNIG8VJZO+KxJ9yTzMU3oe5R4l/CY/dwpXh9N2K/FmU249wLNEbuh CffqVj0j7Pbw14s7qZrwdJVxIeGJttucrA80QTcsuIgwhzhzQV0RKq/9vJQw qaaJ2fKzJgy6e1QR1t5Ky+H9rQllWuNvCVu53rb4MovKBxrUEw5c65LuuF0L vvrYt6z0x67JQEZeCxSLBdoIZ+RSGX81tUBv/5N2woWLt248M9OCBY4tHYRr zZm0zhzSArUwq07CjJHGK0znteDdS49uwjzXb3VF3tEC9lc8vYRr7rrHvK/Q gt52pZ+E/Z9p6fB/14Kum9y/CMtWbZg6sqwFkmZRvwl3v+/NyRbaCeclnw0R 1hkN20g/uBPObnbDCT/glg2oTd4JMvpZY4QVjkt5pH/bCRHc7pMr8VaKHz4j hkFuZdn0yvuwTdRytwsGfy+mzRKu9N6hL/UIg2wy1zzh5eGbhwd5AEbEuxcI pwlnCGhZAbwM+bpI+Il5U4xlPMDgrpglwq+C5phcWwF2WnEvE8Z/nF96u1kb LGtjVixiunpBbL820D0aV+x2Nal66YY2nNbjXPk+QGGLzJXOdm34bL1xxcKm PD0LfDowyLFtxdE1S2ThgzrA3f/P59yCE2YVKToQcfmf+td9frsd+aoD5vvZ Vnz5zSqtym26cNX5n+8bBG0R2iB6QBe+SE+vtB+ffs3jXYoukLg7V5wjw9bg +10XDrvkr/hzzMXR2zv0gOfX1RWzTzDzVx7SA6uTp1dsHd/5TjFTDwqUvVec Rc4/l/ZLDyRa4lfsWv94oElWH04UvVuxzLGH5osn9OEV+68Vs3zKP5+Tqw8T r4dW/MW45Nm+IX0Q7O1f8acpfk8TRQNoh54Vt2UGKmA+BhBc/X3F/XIDhU+f GYDf5PCKZwr2aIqOGYBM79SKg1T6/K3IhuAkvbTi5WLv5+EnDWFPIPPKeNz3 tQ9mfmYIHPdZVmxKNtAPmjSEHKZVK15Tq97hQzMC56h/XHtQ8bi7jxHsaf/H WQrB4Y9eGEHdnn8csdiQOTRvBKxH/nn+to7UpslFI/hl/I+fPPVEA28Ee6n/ +H+Ajkzn "]]}}, {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJxF2nk0lU/cAHBJRVGSLdn3fd9dM99b2ZdKCNkiUcheyBoh+aGSJFmyF2Vf b0JZs5OlFAopoSL78t73nPf9/Z4/7nM+Z74zzzzfmTsz557LY+dm5EBJQUER T/743ztv3FZmKmcxovi/q5JahMvVKQ7/vxt8X2QJO6X962ZpD8e9Ti//dWtM n/Zfx9f/uk01rPqnY/e/br/70WPGcexf677aZzjtuPCvO+kUaaisKOD/fTxO oz73FPW/dpBap5Oho//X+h8js1k5/7N8JJM6hdR/phqTduk+/Z+fxjq2uyb8 57G5gYhnxw7/a/OClzt8ogz/GszUHx5Q+8/CVO8kF/X+8+r5aatG1/+ceICD ZFv8n/uvRPs+UT7yr2uYWelv6fznp43ZuS4W/9mTrWFQLeA/07evyH94/Z9X fW51NPT85zGeIxfzJ/5zc2f6Rvyf//zCT/K+725GYHLZbkj5K4cTBUiitoyM UMNT/iP5oBUO6tVp1BJgBFupXff32l7BBiIOv5m1GGFLcuSryVtfvH7Hp/aT KSMk8S4uOdEF4bz5W7eyLjFCQ6VK4WRGKKYqyzkqG8EI4r+/rQ6RInANmiEa NDGCqNnfC8En47GgsfO9sBNMUEERNJCh9wgPVNyw1D3LBNqfr7ernU/GoUdj BA/bM0FfH+GLpONjPPq5oCb1JhP883pN2cz7Cb5/ef5LdQMTGJvRVyWVpGOK YA+5X5gZqpZDWuhNs/CLidCtilPMEHVT737pmyx8/uS9lkAbZnAsK4ielsrG FTSl5w8EM4Pn9EAiA1UOdklYChOsYwaOmrYappRcPJJ/fcCSwAKhnSSGo3HP cARtVCqfPguUxvoNHZt5huXdkpx+nGeBPQl/NzfwcxwvX715/QYLNFs6qDn8 fI41X6/z369hgYDFBh4D5UJcMhDo06bMCkYlrfs70l7ivFsX7b7osELbhvvS rfmXOFVR79SGBSskDbhlsXIW4egkVhGJQFZYTTaxULxShO0tS0fjG1gh2sX0 uNdmEWacnDlhpnsU7vE6nXm4vwTvf9At7XH+KNBEvea5JFqCKTQrOKJdjoLX idmNdp0S/DM3bKU29ihMT3LxWUWW4CZnzudc/UfhrqveQudWCb62eJbh23k2 YDhhVs47UopdslR3dlzYIJpxyIZysRTbmfD8ZA1iA9PvyuGxtGXYsHK+STed DbLr3h0sRmVY6MZtvxeTbCCROLiA08rwMOXrcR/XYyDrHxx0w6gcd5Vmd8YG HQP6DZe5fMdy/PZiTE1u3DHYbNs6lBhQjoubzRNGio/B3hQs+jy7HEdHL2mp Lx8Dtxm9pYmlcqzGIPqSKpgdAkQ/EiCqAnftsmjrjGOHoK1B1QuPKrDt79tf E9PZYZ+kB8+pZxU4vOc7i0gjOzT0ijokvCPHx+aHGOzhAAl/p7NDByqx7QER o8Q7HECXQb3THlaJ/6ybudikcACfHpfWvnuVOPxHVIRwIQf0XzukyZZeifPb ZmpqujhA87JBXHMtOT4yj2/sMCeguOvDmr/J8VTCf4WSOKEKkq2NTaow89K5 Q7/zOCGt28hU+UIVzvsaKVJTzQmf3s7VrLtU4c7Gb1b6HznBxlj/Ons4OT40 t9mdkwvYh3UIY0VVOH9LMKk6iwuOuFRuVVFVY8eNe0+yzbjhzhgxUSqpGicY /nzjZ8sN+mdG91CnV+P6DI0fBk7c4DpkXN+RW41ZtVcVl69zg0ai7dKxymrc mmDVo/mQG4p9l/WHBqqxiKTw7pn33MBTIH10gbYGm4aGipA+cUN3ut7vrCM1 +ObAh1PxU9ywMeZ6XJetBn/w/ydF+S839IbOUF8UqsHRLX8UbjPywC5O4a1h qMGztq+cRM/ywKuAt+lz7jWYtYw5btuCB7Z6G/VfXqvBJ/e5l/fZ8cAcTSut fUANTinkpbzhyQNKG4u2GZE1WH898vG7uzzQzVJnHPikBhfeN+py6eGBpYrc Pz3NNdit+ZvcSwNe0KiZLm2mr8X1UOAsbsoLBxOzHRyZajF9rXtmvjUvfI3M P7d5tBYXvVxjyHIjO18ydDdfLf6TdOBP0l1eINGesI2Wr8XXnKWKbr7nBa2c wdkEk1rcPLX4becTL5zdqBKMMq/FLLZVXIHTvOT5si/Uw6oWVxkT466v8MKd eblNQYdavKZ+9qrLUT5g1fdY4PKuxQH018VNrfjgib9ZsU18Le6IVrvY78AH RTqxbfX3azHHHoqU01f5YIP7RPTRh7W4bi3qgF4wOX6xz7rkSS2m+Jr8A2fw weur0mVhz2pxWHldnsgUH4ib2ClWNtbiaIu9Alsu/IAow6an52oxkqZd/u7N D9kxBUEqv2rx7z0MLYMB/NB+QeJjxJ9abFbMcbkohh9OlaQcZlipxQLUCoX2 BfzAYN7fMbtDzl+5vUL7LD8Im0/3VtCTsPedy3srF/mBVUVMs5aBhIUuuA1l bvBDvGuYci0jCcfS3vALPCAAzPL8DYWsJHze/t4raTEBEPVci7bmJuFl+gaN h1cEwJfavHFFkoSfTTczh3sKQEjFs09V0iRsRer45u4vANTOR5iuyZLwW8fh 27rRAvDHI3pzUoGE79aRl6F8AeiQG3/2gEDC4i6cphe/k9ufpF7X0SFh+5Yb l2ScBOEZmw6toi0JXyQIGi67CcK+5547YRdI+FJxj0LtdUGovech2G1Hwk6P BfZoRApCbgK7iJUDCV916840yxEE3y2mXLMrJOzPwjcRPCkIOWsapD4vEg6I 6Ww9+VMQ1gISqpa9SThwl28RzZIgUDSmaLBeI+GQ2Y7g+7uFYO35ByFjXxKO eH2NM5dXCMro72e+DCDhe47t57tshYArunNqLZyEE0a9T9x3EoKD53it1m6R 8IMzXGJm7kIgRq1csRxBwklq3usTwUIwUPiMazaKhFMPcT76myoEPol39Gpj yPmr9Bhk/yQEkSZeC5v3Sbhh39EzzubC4IYIsrwZJDydKak7ckEYCoV4CpfJ poWTJ7SuCINPnOzxtqckbObrpsB3QxgSouY7nLJIeGGm6ejHFGHIrPT9cjeX hDnaPb/ojgtD4OHzZXGFJHz8UtTHqhlhsG1ifq/1gpw/ytQBwd/CkNMRarRN dplqWzMlpQhoyap7XSoiYb3nXM9r+EQg0WK2lK+UhP1iOrxEHUVgNAxMTKrI 7yP8xSXJTQT4tRhXl8h++3bFYa+vCLDTtUvfryZh+i1esy9RIhDgjT3e1ZBw rqsfIfmZCBy6bXhT7BUJvzcU3LN/XgQGJz5mFjSQsMzhkMTv3qKgbDbO1tJG wjXUQ8ItAaLQ926eoNRO7j+FZG1WuCgIX/3mmUO28cLHMZsEUaDKVuW9+Y6E r3UqiQyWisKG5ot6yU4SJt1eqG38IwrzzXP51j0krBGqaZi+LgozBK0f9WR3 +T4ZD6QUgybx1fO8vSQ85qi3R4VBDF6nZnz4QjalZq7hSxkxEMmY8LToJ2Ft SpuJx+5icLO1z19gkIR718q9/HzFYKOF4uENsi1+0+49FyIGptX62z1kO4/X iDLEi0H6qetlfkPk71cds3fUSzEoKR+faRwm4QH/rr0+82JgdCWiUOEjCdsu qosbuoiD0ptp6pwxEqZjoOgZ8BaHj20br+fIrpFu9DofKA7JtjoD8uMkzHhV s9YpVhy+DDxkayC7dcZQN6xIHPTFTTT7JkhY+rONU9WSOGRrresNfyXhT5s8 tHhLHAIafgUxT5Jw9LHJl017JEBQcInfmOxJM6eVPmYJsLN26O4kO6nfPWJO WQJmrJfaaqZImKItNIs3UAJ6FqhlAr6RcOG3E9r5tyTgRJuxcAnZFnv3/pSK lYBEJe2sb2SXnYiWU0+TAFN9f4kzMyR8wU5/6E2uBETbd6NbZB8MPXhDt0gC xn/Sk+cleT7W3Ws81yABd888reD8TsJMn4wvfW6TAM5XPSunyW7cYN7v0CcB yWd0Wm6S7cY2Ujj7QYK8/9AKlpHNrvL4jOdXCciP42KaIrvtnNXf1VkJeBx8 8wHTD/L8uMb1KHhJAkIOSuZpkM33YIKwd0sCVPnYDX3I7inNHI/ZIwlZLe/z Dzwnrw99DuFHDkpCvcB+xS5dEhb9LSSczCwJW23nZSl/1uJwyQK3XCFJeGEr fc5GthYr55dtN+hIAqnUvWmtoxpnpDaxr/wjCVwCn1PzpStxiqX4kEmiJCgX VzyO+FKBk9ju3y1LlYRG/r3t8g8qcGyi7V7Pl5Kwz1m7g2KrHPvHbiz87JGE R2pmJpqDZdgoSObNlyNSkJy1vkvkZQk2ICQFEtmlgM04TaHftQRrr28rpfNL gWG56H4NiRKMrnUUWClIQaE7TrjxohiLXXVMHDaVgsgahkOMNUWYyvrJ5a5H UsAtnMF583sh3jlGxS/xVApg7tefpKBCvD5y5fOdZ1KwPGJyhIGpEP8yUT6r UysFqj+2Ejg0C/CoQT/h7agU5Me6kJSrnuEPqVTUnw5Jw+9XeY2uI7l4eEvJ gZZRGj4qreXvC8vF7y2dG9VYpWEkVXvlnUQu7mHrC0jmlobZ849nmiJycHNi 2u9zMtIQcHKTg0szG5fGqn7sM5KGgmTHx9dXnmK7xwf31JhKg+SP0dnmiqeY Ie+LZIaFNIjrf3k/e+0pdm+IvulmJw3UsrOOBWsZWHzpgwitpzQoq7hqvKHO wFnmN3w17kqD+UOnUNvEVHz20qmn4g+koaN49a6rRCqm9OLrOPKIXH7d1/5D 0xNsG/OO60u6NHg77Sw3rKdg9tfHWoKKpCHi73sRI+/HOIGfxFTVLQ3vuOmq pp4m4RMy8TitXxqyRG9kbRsk4T/qFy9HDEmD7W95LqX1h/j0OdpXxmPS0KN3 U3bV5CGmjba8+HteGq79+CZ3ji0Rhy9slogelIGWKoL9P/33sdxmz+hhBhmI shEY3Im9j79QZ+9dY5KB+A+6apZ69zHwGli0cMiA+EJje3PzPbxp/GTXRQkZ oLkkFk7fehd716iffqIvA6xfSup3vsbhcosWypHT5PaHqkTFXOLw8vrpckYT GbhyKNyKcTkW+6ldZIuxkgEOeZOPew/F4iBS9KT/VRl4yHxfuN44BkfWDfma xcuAvcLz546it3Gr9QWxhAQZeFPmYp/9Lgrv3/nxqTtJBn4SVZQ1rkbhGLx9 XCtDBno/qvxNrIzE8fX8dIolMmCS7Vexah6Bkxs9Mo4MkOvHcNk8GQnDH+02 zp4algHBmqaQ+tgwzL771t47ozJQvtv23ObJMJx6IsmZckoGcuxOrBSW3cSZ b+sUfv+VgdzYUx+j00NxQfOB9i4WWdgf6GnfZRCM5y49CNjPLgvO3Cs7j4aC sOQ+LilNbllI1323ymMfhIu1ZBNeCcvC1OVWbBAciCtazawLVGThnQ73wIV3 N/Dr9uw/t8/Lwqxj2taZQl9cwtrjEWgjC0zNQUPKpr4469L6L3d7WVDqMGQw ovDF0ZSnFs45y4Kh2oWZ/WbXsbHq6qzADVm4TGNXzM90Df/I151qSJYF+uNp Co8avfDoivfF8lRZmKv0ce4K8MLdGmlf856S+z/S7rOm5IXLJhYn4p7JwoBm VxZfsScOPvrks1WNLGS849rn+sIDM95eGFobkYXoO/p+qllueO/Q0XNzn2RB J/EUz2V5N7zGf3JwfEIW6OTbWHibr+LP9UkDLd9lQSBdyoxj3hXnrxJ7H6zJ wm+F7Ms5p1wwckpolzkqB1lM312zjC9jmYo6HQEOOahPT/rCuuGE+am+t7Ly yEHDzgmDtqdOmCZdvWVHWA7oln/Gtv11xAND0286leVAhTGX6VP+JXxZS+XV ZTM5qNzd9OCz5kU8L3y0qdhSDqpqaasV1uyx5/61jjVbOXg9+ZOuosAeB3RW jd6+LAdnBZWEuFnscfxZ5c18fzlI1lvn4Fm7gJkUWKn+BMlBCM5d1Sq7gJOZ Vw+ohslBY7kD/TX3CzhzpPJY+x05KLZx1xuetcUVNkpqP1Lk4NLpD5sJozZY jchyQjaDXF6r2RFqZ4PreVd0/bPlQJjBtU7jhzVum6qw2P9CDp5TDyGZHSs8 6qzoL/paDpjSrO3L1S0xpa9C9ZUJOdgZpa/fTW2OI82ZGkqm5CBgivsIa54Z plX727r+XQ5+rIoyPtExw0zbZcPRf+SgLpRHbjz+HBYOl199tlseTHM9Mp9L meJCB0aKxX3y8OWyhWX2BxMsq7W0T41WHmKuWjtORphgwv4ylneM8jAuWTrJ 9dUYn4qXU5oVkIep7U+u1M/O4gGPI1hOVB7OaNs9fWZ9FpudXdS8ISkPTg8O KVxlPIvtmEtNDyjJA8OZgUcaYUb4WorsNTFteRBifyTc4HoGp+TJlDtfkYfa qLjUjUlD3Dpi35p2VR52dO7hEndDvLQ/8WO/pzxwXne+wLltgPVc13cRbshD uLYBaZ3DAK/LvDGkjZEH6oTXS1weeti81nimoFAeaGQOtnLbauPwnxEb48Xy 4PL9xSNrKm1cxFF9kKmC/Lx1ndG/+VqYOoRDIbBOHubdaOaOrWniqpPToQbd 8iASWG1OytHAzF3Xj83/kofJBfVeDbUT+PhOviTvX3lQ3vS+N/bnOL4qPUo0 XZOHztCtytvPj+Pme+BUt0sBAmYZaHa4jmOfczTlsQwKQPk8YJCSiYgHxpMN peQVoC6DT9PRDGEKhs4L9soKoNuSVi86rY7FT+x4PyQogJ8zPpHmo47Dsu0f 75xUgIywOZ/ARwQse0V8pttEAeZHg4Lwkiq+u/gq1P26AlzzuT229EsJX+2L v2B5QwFkSLdWe1OUsH6xPVE7WAFufBAqGNRRwnvdaHZxRypAGDHwsWauIg74 YRzSnagANce+3TvrpoAvTcwGSVYoQKmL4ss/0nL4ZH2dNVuNAshmStiFzMli nrS7aG+dAoizTsltPJPFo5ZK25+aFGBwNvfwc2FZfGb4ZuA/78n9VY2fSJaU wYTuowE/lxSAO4xZUfKtJD764uf54VUFSE4qNzlgJomXY16rvd1UAMO5B432 cxK4WNdh4zGVIngcT1z2ZpfAgs1F/nqMiuT9+MLV9Dti+PArLb9ncoqwuzdT JDxfGM8/ZjNPVFIEmW9CGYNGwrjDf075ppoivPqsUm6+JYQjlO+vmp9QhE+w 9mXcRAhvln6+TnNWEc7U6hHCGAXx9DOfa06eipDH1yNQ/JYPm3Jsf867pgjK 3F2Ujn58uCkuQuu7vyJwdq0yqknx4Szvh6xXwhRhuJ3ul0wqL7ZD1TXOCYow 8jiLbTiKB/cVEfkKkhShm1s6m16TBxP52u/8TFGEkt1tflpUPJib+qOla7Yi eBkO7KSHcePPvZvbVysUQX9Echsd48KGJ285vqxRhMhjjCytWZz4VQVdz0Kd Inn/eeLKKM2JUx5zZri3KMJ53duM43oc2MIBTngOK0KQL0O578Nj+P1qWKTP uiL8VtIYsPVjxSedaX+VbyuCrHqKsTg7Ky77lGC2TKkEb3Suy1nWs+B7jdki 1w8oAeeVAY1+WhZ8OqblnS+7EixZftOPKGfC9dun5Ku5lcBG7tiZUTsmLOUx nLLGrwQUi9SCzoeZ8EHT767+Ekqw0yYrweXJiDu4DtAHICVQsbzwxoN4BBPu 3fclHVeCrrfzrMyrDPg5FfvEpqYSlK18S+x7yYCjv4uXBJ5SAtpviynhvAxY u9TQONhWCWpVBal0GA/jt5r3km7eVIJzD95wLekdxFOXajv9I5RAfpLLQXCc Du+NnKT0ilaCNpFTa/0+dFi7RdHV/p4S8DI8uhafTYs7tD4STz5Vgvc5G2ls zAdwvzb/7J5GJUi8sUEfokSNl5wMuLeblEDieZz5mYl95P3smslymxIUzOzc N4nZh03bWl9P9yrBre5M9G1qL/6g45rQMqEEycev1tTl7MFfdCvUb+9Shles xN3R53fj3c5jnqF7lCG/mK8kj3k35r9DnedHowwXR4QEXvVR4kvvLBiuHFYG brUjOdUGlPiH3s60Lo8ydHnMXLtruAv/0deOpyUqQ4x150utP9voiKtHE5WG Miy6r8SLhW8j+X+S1ze1leFIMKXzQ5ZtdK3z58W508pQvRV7e+r4Flo3uKvS ZasMXGUTVGPPNtCuUx++xIUogzT3rebLpFXUWmfC5x2uDH5Gzlysl1ZRvGSv vVmUMjjLuhn9pl9F3AdbJ7njlSFcMLyS+coKgs7y6eI0ZThF23OvS2QZhejd /dFfpwy/Fyc2+z4uIu1aWrGqRmXgOc7CHJa4iOjFopxTmsntn7nix2+0iNL3 B/+82KUMZRUv6qQ6/qD6Npf5v5+Uobvofjbru9+IQlv7D8uWMuyRM+H++GUB tVa+kd2kUIFb8VLOcV4LKF4Ie41TqYAK+wKxdc8C4t6nuJRHqwKp9r3cZZLz CJr5llXYVWBMiTb8592fKOTkztp5NRWokJlNT330HWmX+asCVoGNrbliU/iO 6PmX/flPqMAcy9dorZkZlL57buOnrgr0tsrJNarNoPrGD1uBFipgKWpZmvFr GlEQK3al+6nA3bPrlyxiJ5HFyW/tw4Eq0PbYfScfJlGZFmvC4ZsqEOKt1sq3 9BU5GfoLhkWrwJS/43qo9VfUex7pXXqsAoNnNQyt4AsSt3FjTEtTgdNJMYOe GxMowi7901Am2WXmL6IrJ5DqZUp3nQIVEGXmtCyUnUBPrzUniL9SgSF3ISs9 +XG06bdi5dCgAvIsfGcZ58eQaaCwUGqTCtQzzyQ7+oyh/eHR1Ye6VMD3fN9z 99ufkdddw89/PqsA4TTNbqXmUXSyYFComkIVNOzEuBbvjKDUl/t+/6ZSBV5N IvGs2AhaLVGuEaVRBdXwAkWejmFUUJ2sn3JYFQwtp+n+HB5GTC3WHsG8qmCX lBo7VDiIpiemazROqgLa27QpyzuAYIolPEhbFdaOx1PSDPaj5Bltg0p9VQiy LMZb0f3IcOHZmLCJKnhVljySWe1DlZtXqWgvqcK3fRO2dmO9KIplxaAvUhWE ccudM7XdKKG19WvjHVWg3o3+HtfrRml+yX6lcargcc6Grn60C1V8VM9OeKgK 8gtXnulQdaGptPBN01zy+9wRVD/s0IGOCzM8/9isCo9X5H8LXm5DhiNfoaNd FXh2vqdEHGpD5tHlg6Qucv3Yq/58la3I/acZZeqgKlwJeSm2a38rSitKM7ed VoVCh7u0b141o01lCeqpPWrgd93wAY3FW0T9Y/vJexo1kP9by2vJ8BYdedwj 10ynBtI6xcyl794g0S0vm1wmNYj83p1mRXyDzBtqKi4LkMs1+BVllBtRhY62 w/xJNaCVs3eVPV2PGtePbnzWVoPUyUy1D8z1qPP5bHy3vhrQRJEMokiv0SRd HKnIWA0Wd1eHPf5ch470vT/idVENssx3zL7JvULuFvaNK2FqkJ089LOMvwYd TPsxTohSgxnu5UCbhmpU8NVjJzRGDbYsappjbarRN5cQAu0DNQgs4Es5n16F rIOfVHDnqMEfemqebtlKpJ819EynVQ08T0Z/40soQz9mrNtiO9Tg6oPwF+4a ZShKYvpbf48aPHpITbu4UoreVCzxW4+ogSPbTsst21Kk2nY4zfOHGtj/bWSw xCVIeF7v/mNaAqyPxbjckypCzbL9xeP0BLhwkn1l4etLdPG6RY8AEwEMAv25 Yq68RGkUl+mKOAiwKUizQB/4AjEfiYh8K0mAj/T5QqiiAJWdo8uhkSPA0q9G xTDtAmSUkvDWUIkATytEI41Hn6N/BDJ3jWACqKQEszVRP0dUyvU35k4TgK2a 2+CUdz56GqCVLGtCgGsGkef+MuQjaOiqum5OgGN2FdOHS/PQDd1Pf3fZEaDe iaIvaSUX/bFcd2P2IsBuz5P3NO7moIlQ+Yv4AQHKCuIvm1FmIUHmg7HujwjQ tJi2QajMRFeefavMeEKA2KK4OkXXTLTUl3yAKocAVGeu5dmMPkXU/LtKWysI MMD0Psm0JQNJNnfuMhomwPyBSUquR2nIyyJXLGyUAAE06ycredNQ1XyISdk4 4X9/H2qle5GKiCzy+czfCdCdtlt5qO0JMnZKPv1xjQDO3gS+fUwpyH+/Y9rF Y+rAX7HhdOdvEnqdCm0PuNQh4tDkw+GkJEQlx7bYzKcOZj8u5NSqJ6F/zndq ioirg/bs1kf+mIcovUBufo6gDhD9frtQNRFNAR0rF1EdvG2igge+P0Ci76eJ pzXU4duJ+P6zyQ9Q2dajByUG6uC1K9gN7SSgFkMK9evW6hD6evnd3NB9RPt1 5FKenTpQBrsT9ty9j05fL40fuaQOTz9ueynr3Ucf0i5NqrmpQ6+sSkl/4z00 /6vjDkWIOnS0Ha/fV3cXMd5/9OF2hjosqqg+9KiNQ/vfH+n1zFYHWUKKc/SZ OETBEttyPl8dNG3f+ryaiUVzyTfLJIrVYebKnqfAFouanzrH9targwNzWpJt VAwiTU6F17xVh92lEea/BGJQiaDtjcxWdXgu5qGu9PYOSntm7OTTow7Dbvnl d3bfQb4l6sePjpPzY8jCaPbwNrq6VKlMOakOhyyLBjLgNrqoKCs1+42cL/H2 trjZKHSmRpD91YI6FJ09LSesGYVEGw8t2+6oQ0yQmfQ6bST61DuRn8eJwBtN K6UMhqOBI5bpd3kRTC/8qbiVEI7aTQYT/QUReNg3/DY6G44qRtrD9CURRPR4 BTj1h6H4iVKrX+oIvoSOM0iN3kTHf986rGyFoJjgmJ+5JxQpy1FQ81xAMHhn xUKgIwRJ+vhv0zggeJoSfar9Xgg6tnZ19qMLglSbz3pnuUPQEoVZU3AAAsV3 h0SJkUEoh17Ur+UxgjFqXeIphxtIctp8lSqdvMwLfFE5RHEDVdbevn48C8HZ FU0ttxR/1Hrpu8+rAgTzKmXFoyN+6Acpz7P0FYJfHe/UqS/5IonLQi5pYwgi M+1XA6t8UAU6Nzv6FcFlnc3jWo4+CDFGXmGbIZcXnPs2yeyDDF9POz34hcBZ PMHwiq83cmfKcbizC0NfRt8hlRNeqKyB3+Y6H4ba6Gj6ryvuiPDQ+HOZEIZn jJoHS0rcUZNLuNUfMQwX4tvpAq66o0GWyfOu8hh65mKvbva6oRXXTDN7DQyx DqFuhv2uKORE/1C6Doa1jelYbzNXRH1097nPBhjQ6HHNW2MuiPWtnYm5KYb9 hYdabBedkSobr9EpR/LzlixZh2WuoMaFM70xzhjM0MC2aPNlpNcUerrdDUON Us5hK8vLyNJ9wlDDFwO1a8xe81gnFNScrqd2G0OGZoN8FLUjavDk0hB6jiF+ rOVTmPFFtP53IZ79JYYfY/3nGA5cRPJ+9aOHSzGMTAp9u9Noj/KCL3hv1mCI 2RPFJy9vj+JjMjN72zFEZQkOGvDaofZD3gvNXeT60b3ih8cvIKr7J9VIfRju 7NiPV6VeQL6PpvpyPmCo1sVvSjkvINscIcqAHxhonDtV9UVsUbLIqoHHPAaj Ow7XDUdt0EBB66NLfzB0qGw3NzvaIO3SyzJn1jE0/ko6uhFmjVjHTaSP7AEw eufGYNlriXZ+PrSZYQSIOxd2U++1OUqRDNnzlRmAEMdO13zRHCm7Oz3/xArQ 6BdKt3zAHHkuKq/0sQMMDxSqeNmYoem1kdhX/AAc+TFN79jOoTC1RvkqQYCQ oE6RyU5TxB347EOJMIC1lV3PnjBTZEFxQzBPHODBlPp9y0UT1LWXve6ePMCH m2Kf+X4YI2dtqov/KAJ4926Prz83RtTRP2nIx1/QjTx0xMjNGB2ne2USSACI yOJwl14/iyqOWM85ngQQprbc9OU8i1K509nVjQEC74z2JMWdQQejZVolTAFU 89NSf9meQcGLjV6cZgDpOR4QLnsG2TZPte+cB/AMc2Q+Mnga8bqI+TXaA0Q9 TMupZT+Ncior3mt5ASgHdduqShkgZh7tUGUfADGjuRePWvRRZPSIuMh1cn/E mmiYbfSRk9Vm2P4bAMS9L++REvWQ6O7jsp03ASgXQw5pC+uiZJf+T6/CART3 DDqx9OugA4MXb7+IALB6FCqrGqKDfuZFjsdFA5x0fWq3Na6NXhh2xhrdA7Bt 9tE+XK2FOKusVU8kADDOfVc84qWF4nh+TcklAvwcAwk3SS3kvsSgzpQM8PKU VWBVniaSTTabHcoAuG1R+0ooTwNVTH3Vsiomj6/qRSOZyhPoVcA6hVMPQM+l mrFHdQgtv5z+dbMPgKdJqGyYFyHpr33jTwYAPpu0pJhHqaMsnef1/cPk/HZ0 NeifI6BoZssQPAFwSPX8lsBeVfRWR9vd4ivAnFkFU6aPCtoKkLf1mSK3z5/r XjWtjNy/0sLz7wDJwTf2DHUqIdOiVzvMfwBuuOoZHC5WQPFf8xdklgD+4Shi D5JUQG3MiWP6ywB5S3RWI4XyiBB49fXNdQD6gWmtiBI5xKvLFTxPSYSqsMtO 3wZkkGXgATeaPUSwfLB44a+dDHpQtGLNv48IB7U/rGstSiNqlh5kcYAIXfoL PNNs0mjha8h20xEi7N8R6nY8KIGEWVznx5mIcC+iblP4jDiy0zX/vMFChKgT 75u4HomhwSKZOhl2InwdnjajUhFF9JMcL/Q5iaB/9Ygqx10RpMOyP9WRmwjD pXxTDfPCiBT4JfAJPxFEW41aqGqF0HJRl2uVIBE2zmYydYkIIanJGqt+YSL8 olGz9EsVRE9176vTSBABXDMpOh4JoNHAYAl+KSLkDWX7pHILIKZiZw4sQwT5 aaPD+YX85PP4yS1vBSJMONHPkj7woUZd6bk4JSIcSjaC3/58aCOQ/dMzFSLY fn/6o5SHD12dXCKNqxOh7Xyvi2oYL8pjmSjYwEQI17W0363GiyZ0O1OYjxPh Qr1OO90sD2ILqo6ROUmEDKaK6sx7PMi4ODtAX5MIe4l9doKyPCh28q6LozYR ClW6l5fbuFELS5DlTV0iNC5/yrlmwY1Ug0wJVYZECJL9jum7OJF38XHx/tNE YB8hJVa1cKAXk5Ls80ZEaH+t9rK1nB3x6O3b5DtHhJI9b16IeLIh+fcn+tjM ieDiT/8u2/Qo0rQJyTt8nggnb34Pz5RjRVe81ox3rMnjvVxm+niECZU9ni38 cImcL+FfrA3T9EjzZ7fN3WtEaBWoEBKBdXWza7SKUb5E6Ej1uBPJ9lf9CoUO bbA/ESisY/zaNhfU4xgbq1yCyOPBZOI7XTykHpJTsj0YQvz3/3L/A5/MPz4= "]], LineBox[CompressedData[" 1:eJw9mHk0VW/Ux9G9KORe8qtUQjIP915T0d127jlHI0IaSChJ0WBoNBSFMmUo Q6JMmaNEKSJDIZWhWSKKEA0qSXrPu9a73vPPs75rP+c8e3/Od++z1lFy3W/j JiIkJCQjLCT0v+vsPevFenUFKPR/l+PTFad5HFp3Bqe7Dcbw+zNaI5byaD10 6VLKumy+p59T3DwDWi98X1LFus7/bjGWJGFE603tGrNNKvkin1k5X5cL8MTM Q1bizo38s/euFPab0nEr/UvsyBY+O4534wVfgMh+2ex35ilf0diupmolvf/e QtnlF57zc2d+aCwR0HHqV6h79ys+p8uvNZMUYM3c1+nFG97yzU4mvj6zWoDO 0Zzwiw7v+Y226r3+awX45eGIhbpdP99S9fbA/vUCPLdXOHi+y0e+U8vr8Y0b BHhZVTxKuGKI7y+nIK28RYC5aYVndy/9xm8tnbnVzEGAnF2DZjER3/kKlj+y HLcJsGc/03bj1Dj/Xugjk0QXAYq3XG4W+fuLLzJxbJfkHgGGG0ecvu03zQ97 /aLq5zEBPrzdppMdJQovD9WJzwkQ4Cm7hDuZZ8VAXfaaLTdIgBMJ992PRIhD 89rQT3tDBJjQjBVk0iyQrDKQ640QYOi6N35v3syGuPRYz5ZUAf44rtSg+kcW +kwDKgbTBJi23kvpSdwcMHi5W0T0igA/+RbWZ2vJwTMWJmG2AKtVxouKnf+D ecGjdTeLBLjomkFR//N5kLZz7YLL1QLcEPtiT/SnRZCnwWz27RGgeWdjxmVN FWhfuPKP13sB+hwv03Y6ogJT0gHa7v0C9N2oRPxpUAHLn+PRWwYF6M9aP1Lj vBTG7/fbwhcBal278+J7vCqgY/1bMSECT3z0amoYUYc9VkLSwiIEHq3Tz1ph pAHx5itwcgaBmuearaggDfioXpYxIkbgud1mQ9PSmhD5I9O9TZrAvsVy7wO1 tOBldMjXlMUEUsKfIsIoHRAJvqecoERg+8eMkeFQHdDy+2MbtYTAtUeDXC40 6kCgg095kBqBDXP8NucLdEFFfcfxnXoEHuIocVcZ6IHlgvTCbVwCPc7cG7Tf pweHZ795a69PYLeXhv3pq3rQPG6Dq40JjFBJYSdKcGB/rTlT14zAjLzJSwl+ HEgqCzRSW0ngorPvCl5Ec+D+1Up3RQGBtemBbolXOTAnmtcsY0Hg5ysbiZAX HKjcqhzzy5LAzjDLiCYOF/rXO9V8sSaw6cJIWzHJBamVKV8/2RC4YM3883+3 cMFZTcauy57AvGfhv1tPcEF0XHh+rROBLcxcuV+NXJgoSYrudyawnieVyXvJ hWEvPYb4DgJFDdQLcwa50K3ZeFTLjUD7gKol1hNceDrgOGbpTqBvcOyUlhgP 7md93+ntQSCvYreGsRwPbrqcfX1+L4GuMWKX9inzIOVNRUPXfgKVfhctsTfh QWSSpamQN83fGxYKkTwI2vihZIkvgSJOuarNljzwlvFXtThEoDynxLB0Ew92 PpFJ3XOEQDtH+RXXt/PAPjKPHX2MwED7Au3mXTxYvRrDSv0JdI9Tm/zhyYMV oi+mOgPp9xlim8jz5oFunZf3xAkCz6Z9/+l/iAeKJxiDC0IIdLB/JNF+lAey /IvbzE4TOHtxxkNdfx6ITnI7XMMI3O+5XPFcAA8myh+uCj1DIHndnvmd1kM+ 26vzIuj7d1bvsaP1W85P/dYoAv1/GghKj/Pg6efIvC8xBB7oCjwpSj//fv6S xXPiCGScdZ63wY8HZe6VCcYJBAr5pE1GHeDBVZUNsxwuEKgt8Ve+cg/Nq3cg KDCJrrcRPdt30LzSAn9cSaF5zdPt7XDg0X6U29uQSuBD3zOed2x4cHBeYc9g GoGXreYKh66ieT0zt5e8QmDqwtRYDp/mFfeqRS+TwEirLtYtDg9WWR1YaZtN oIFj6sH5S3hgKilWcegqgZvLL+dsmEPzarqknZJH4IO2ooxtDJpXqEFGVQGd j3L4ZpPvXJARtMztLSKwbsF4ZX8PF5hCrlGMEgI7uOV3t7RyYehozJG1ZQQq h1h6JGZwoctIdXRfOYE/sot+b4ngwpPvd3fE3aL7s8x3/LU3F8q8hixf3aV5 7Vw3LgFcyNE8WT9VTeCazx+6bypxIXlgroliLYFs7u9pNoMLgS7kUvcGAu/f SsvvrOfAAYWulLMPCDTvv73AMJMDO954s4qb6P5Ido4yPcGBVRsv/xlvJTDR 25Wva8QBExnjg/OeErgtgHKZI80BnSetH03bCSy7H3NFvVUPZFb/aQt+TmCX uMedfGU9YIjGWeS8pP1tv6FWsUkXft1Xr2p6TSAxnjhe6qkLXSvsc1nvCIyq 3XFUqkAHrnJKA9MGaD+Nj/43PUMb9sl9/V3xifbP4YbzlQlaYDDJ8WsbJvDR TXPpQGUtqKkr2cv4QmAcp/uFiKEmvLQv2bxngsDCGzZirobqkGb6pSNkksCC nHmZZUVqsFORY3Vpip4nn7sZPcpq8OXTNfKpEIkyx6JMjs9WBfGAazyjmSS6 m+SfNWSqwGOXsSIrCRLTSm4O2p1ZAgmUnoaHFInHvl9QnpJeAoqsa4tT2SQu lAp51ayiDMsyiyVF5En80pai1LhXEabDRsMWLCSRO/ZZ6+QMRaj31J1hqECi 4p7H7zVNF4O1UfFvd2USoW2wcmfpItjdVPSxVZPERy5LpQ075UG3+LPLgDaJ PXnOByfU5GE8TuetkB6JCn/Cxdkn5sMJx6IOfX0SZ8l9NZDlz4OkscKaZFMS ffM3KMl9kgOnzhHTG3wSE+6pNZo6yYHKbe2KR2Yktp6PcNr6Yg6UBBcW/ROQ eKJ3XZP1M1l4KFeY4raOxBtHB5W6ptkQPTksF2RJouOC7dPH49hg904rNsma RCkjRlS5Bht6cgvCWuxIPMnTVGx1ZUFO1LDIB3u6HnPbzlgGCzy9tQKnN5P4 c/1P/dO20jBhWuDL3UZixwU9b58pKahWHB5bs51EjrfHqbatUnCKqbV3pwuJ x6+tPJJ/TxJYT/JdEt3ofMX21e1PlYDnN4a6StxpPoEyx3TmSEBqkubmZg8S c6V/PhWPmwUarvmWf71IvGm0QOFO+kx4eMmk5Nt+Erdemnenxmgm7HrVzB48 SKLxRqmxh+3ikGU93NnuR2JDh4TH+fniIIg8bvTwMInl6kXP9OvF4P0DiaSq o/T5Q76qZ3zEQNFM2yE3gMSg9pxayR5RuHfs7t1LQSRqhuby5C6JglP5OoX4 kyTOq/vXGe4kClNfu4LCQ0h0tZ64Y6ciChd1vHoDTpPYNf520m2UCSYef819 wkgsPDyVlXeXCS+zorJ2nyHxY3p6q2QMEw73LBJ1iiDR00A23N+NCf8tLHa3 jSJxy1TGwAczJtzcBE2rYkgsrU75Z6jABLv4x5oQS6K/OdW3RYgJ3x47RerH 07wtv2bDRwbEzhr7rH6exJT8ga1tTxjAoYKsFBJJHFnoJ/fvLgMen5QulU0m 8bHnh8GyIgZ4VaXLzLxIIuFyavDdFQZI/tbznU4l0bL2kppXMgMKDGqefU8j Ucgu4PbqBAasOWBt/OkynV/PvlLXOAYMFvQkdWeQ6KxTrZwdz4CwgQOTHVm0 /0UqFKcTGaC6RNixKYfE1KXZ1VvTGVDvFFtVnUtiu1OndG4eA3akKC0uy6d5 +Z5T6yhngMjz0hN5hbQ/dZfOb2pkwBW2+fu0YhJ32nb/OvSKAbi+XZBQQuLX PLEXTaMM6A53zT5znc7n90hTsSgTAuq/iQaVkXhL/HWfjBKT/oiG7PYtJ5GR Lr+sj8+ESlPZZo9bJK4ImXwluY0JE9f1o+zukvh0wwNbxQwmJI7Wja6uJlGj ea1N/wMmGGnaWZvVkHihMG345hgTfK74ymrWk1jQ0m1qRIrCaMzN5H8t9Dww ltmfzBSDqBaSnqd0vQ22zreWi4G22HPHoSckxvyoDV2/Xww8An8uftZB4trN tjXR3WLQ72mck/+G9s9ovIhDizi8WX37+sZhEmODX2dHtM4Cc6uszX6faX+E GF18KicB+XYx0wljJG50SMlxd5KAY9vd1nR+J9Hp7XCg1hcJkPdjv7eZIlF1 1fPSXbJSEHxsKsx7msSjCrEdSQ5SMBQ0oBMnRGH0rmWzHDOl4PbZqqNtDApX JVcbGnJnw+bLHmxrKQpjrjYJxwikoSbbrmK/NIVvNcQtck5Lg3qB2bYYNoW1 t+Zejmqk+/2mXN5jOTquEi1qpMwC5ztCVqNzKTRf7nYgGVnwsGZ4XEqewquT bzMNnFiQ2FKL6xUolC/wUnt/gQXTTws/eipSeFrHZVNXKQt2PU+MjFSm8HrI NVZ3CwuMer1etqhS+L5N7t2DKRakfdwcOKxOIW6b1ZkoywbREYGKhBaF4n0y Mmb0vHr+c/6BNXp0/oz5Gn3WbIApxn97uBTm6n/vfeDKhhzhL3fO6FPYE5KS aevDhtlib1zyDCkcgL/bjgWz4ZBko1iTMYXuxTOFOefY0M0uLRpcTqH0wmL/ 3alsoOam2oqvoDCy7WXN3KtsKF4Y9lsNaD3vSBW3hA1yyt7pFkjhLZNjrvkV bPBX20a6m1NYd7I13a+KDf3aq4ZDCQodjJ3dwmrZsI6nH5tDUaiVrZjZUceG MmMF48ZVFL6b83eVZT0bFvJnvv2whkLVp33U8H02nDIfD2aup7BAsS4y7R4b RizeqS+1olDB+swsx0p6fq9vfkxsoFAzV6Vk7g023LW56bvTlsJA7xCvhjw2 qGy+LH9qI4WNE/G8LWlsiNwWUZO5icJrp4ixRrrecddDu+q2UDi4PSRe5CQb HHe7SPY5ULioE6SF9rOh3mvddREnCqc03WxubGWDto/xZmVnCrnF/etYBBvi jyhPr3Sl8PDVgtFZWmyYDJDKctlJ4UHnXLVEaTa4hkysPrmLwirlpoHcryxo Du8bu7ybQrllUwoGbSzgRT8+X7OHQrUhvSrtYhakxN827fGkMD3Y5npoOAtE krN6/+2jea21GTV0ZkF75jEdMx8K9eMzJneIsUBGqPy2iR+FlP+Pa0Zl0mDr +JU0OkxhxvtD8YV20tA5Z7eTznEKrdNXWG4PnQ0vTm+MWRBCIcfIM37guSR0 uXO+/oqj8Hzf/N1Xzs+ED1ofy0qu034692D17IgZoBqutLKwjMLt52ZdrNKb Abv6HVuvllMoSjQUzH4mAoOpHR/SKilcECoWcUFJBIakav+Luk8h/1bYXbwv BKNjF494tFOYVHEw3pCY4k/c2LBC+Rt93qOuv+G3v/Ellxk9lh2nkNjhPJik +42veFfemfmTwqE/wdsHsr7yV9X3hQz+pnD1YFkfnv/CT+70aykWtsARc5/c VzM/801+JG81ZVtgiY/n9dv4gW95NHBEW9YCkzaJbO+z6ee7/nUNVJCzwOlB 2+xY9z7+WaZ2hvB8C8wJXP0uIKmX/0au+tMDRQs8dafMhuB28f2N3h+x41ig Z+tDH8k1j/nnKhtnUTwLLLvYkFlp0MLPgoJUYwMLXNZ4dUWyxkP+I8q3Rn6Z BZ57lawxxr3PX7RJVLzXzAIPeMY9bhrP5/PeDCW3r7TAHvd3B+sepfOp7U+0 6gUWWDMJWm9nnOK7lQe1FxEW//8/5H8AtCJk3g== "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"S (scaled), e[t], R[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 50}, {0, 1.1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.417780763021587*^9, 3.41778090110579*^9}, 3.417780979251794*^9, 3.417781046372014*^9, {3.417781930950774*^9, 3.417781953042634*^9}, 3.417783504796165*^9, {3.417784079745166*^9, 3.417784122235348*^9}, 3.4178423809090242`*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztW39MHNedf9mZ/dEF29smaWnsMrjHUSi+a7imOftceQ+3hjPFV4NKLCNs RH0uRRhdbZpGFoaVfFyEIuKTHBRZXrwreUvlxAtV7cWKo2WR6kLkRqz/wGwU Wd6tZB1UuPKocqLZ36/f73u7y+wvFtrYl+S8aJiZ977fz/v+fm923u7r+PlP j/Z0/LzrSEdZ/YmOn/2060hvWd1/noAm4SlCNBsIeWqbicB1kOj/QCTKPpso JaTgZSv8E8db+uQ+ebzlh3gzpRAypYy3aPpkIoy3ICXZC4d25Mruytb7za+N txB1XwP2Tb45cnZ0vrsno+8HCOi/Q8jSlixAzcgVIgw3jT2TwfOFlFgl9+RD 8qGt4n64EVDqkntEIx8iwlYxNbI4+nBpC/aoOxqRwXfeUJvBgGroUBz8VO1J Z2I6+iOUKh7T6QzGFZm48QhJyQRImuR1QmNh8PmxF3K0i81vG2qxR93BzDdb wt2SwcRE8r27tGXymqEjo2/tZmIiKZ4sa7CRFY9i898puZG7z3swB95e7vDW +4ba4eN5DZUWUyg/pTliyntw0DQ6f6Q4V0z5I323Rh+2vp8npspyAs5ub+hq vT/6MFdQFUwGtKA+KXjzazhAGgocV5J0KbNr1DdA4UpRJGNFk3ED/x2EbFod Se3rDarrjaprLV4Pm4k05YG4vovt/rtw3qC63riGay1eywMrmAn8YuYGOiYR YrAY2kEJiXzRZK9qN9l3BLrb+wLD7cOWPnoE+iftU4Ep6rWMWyanwT2AsSTJ 7XDWyBaiI0S24B+2FeVRZuMaFF4vzd+CuSHln2REaDJv1uSfJcnQ3jr9SPyD US1423unqyxEA77Ro58a2kfsU9QfoAFifIzmemQuaFM1VKAHFHuDhUjewxUq C31DZSFEMyj25mkTkBHzbmnY4rN/UYWyX3XdlKc939BTfiLV2PMNjQmjV6YH JdM0kUz20QAE/zOfxMhaxe6/W0KJ2buL/FA1ICaTdtJeEiBSg8Xbjgxfz8s/ EydSK+X8ii0VQdDXGkCtZs3IUJ6LX4f8/rtAZ57y/zsDsLNOAwJMUdS3j0LI QdvfrwLgPWyw1EyrAfRo10k7kQyWWQkavpGLW8+5/XeHDxNpsJTsUwHoEMDb brCYOEBlLgCBAxANMu6gBstUnDSqQDCrRN+0yb7VvGSGhqoECGBksouzpVgC fbYfqPhFPOT2rWbTtB8bvrmaEAIeo3F0GckEEXabDe3ckdWrYYjI1+sh0hEz aVBhCHgMSkQaZdPVttwYtpWyAgEh1UyTvSoMVtq8FmJuZf78h5wY8gDDYGVt K4wHtP+WiVFjL6GQAYUw9KgPTCLSbslnq8MGDkLpCITVODPGP64GYECAPjDo Vmn88B6UigPIFpN9N7rzW6txfwFNMbYLsks6IvkGyPdWAHohLn32QgBGZPDZ MIlM9j6/z1aLiIjgA/4GJv/zqwEUI8CkrQao0QizpeYkQDMYYFYqCICThX6U ZSGRdgQGd3kPk++iURT7kpmYu9uBoWY1ABO6bra0ewBciTOJWGPvPjy2yzew HVHkgd5pYmaBnURJJQYPpaeRf9LWPQA6CMCvNU03T/fFx0qhXn0b+5bANDyc /mm1sP4yKu4bGPHUwJxm4lhGg2UrVPHd5h10+PAv45MDs7t8tioExTj3WgqC bkbreIG1L/5jutu8FTIMliQSMRjaSwJwZ6myNINwrVTTbSZir6e7vcHSF9CM 2MCmoMJY6fjA5MCYNGIh4kxc8A5ACdjllbwDPpueRT8IRmlBKb6OkeIbmPKP Hx6xDZb2eo5IrdP/AmVPgMgT2PpKImVwCGNmmgDM7bMEYA1L4SnvgLd03Ayr LmFygOjGdo2VjsZHbP9FW6k4WIolQmiGJICzDq8bLA3mQVbnX1gNu0k1xxRS 7JHSJuaptdHaHxdtxrTwmEd/QrtOWlxeGdXPdcmvMjTrBEk9nbFpln/1QNYN knwUZIsG/K4Ab7WElBdIlDQJkFmLT/Uci1SuhTntSSb57J0t//Q6cvUJbRZt wUhdlTZVWz4xxM887dT/T1pVJPx1iIXmThXtGuL7Ce1jon0EkfCE9nHS4lyr XVlv8BUCfw2SY7WwOo5u5atl/x1gJGLVHkaUmPFX5077DlrgrxnwO4LUaqMA e9q30fx9AP+KYR0apFYdQsIMZTTXoukRFS4aeEJbmDZZYA78Xvql9DuyHw5B /4evHFHiSPXtnIj/8+fOP3X+ieyHQ/jW/9b/MQ8tHL/+DLfxpv9rKZ5oWrAt 6yFv9OGgafj46ENNHuL0926mi4qHBkyn81KrKynczG6f+sDQoWGlFNrHc6NW 7enuMdSOnM2LmvZENqX03Rp/efJaLupPk6k/nwH0RNPPn6ZZb/S7e4hmdJ6I vWcYHRL+JpWMaalrqPWd951nKb6GggCY8BmdL1QQTBcR1XRxbQWh98zo/Oh8 75knBeFT3vYZ1fQ/MMioh/bD3xZNPEL08Tvxk/GTsRdiH8B/hYixD4gQ+0W0 KfYy0cRaiBA9DqS5l5m40+dpaotvj16JvRx9GD0ekSMTkTOR4vBrwd+GxNCr oT0hMXgjeDrYQb4ahOeIUHlSsKz3HHUU301vQUmipsi2cFfoveC9YBnRA58x 2AEY90JHgxdD5eG94fcj2yL7NJEJIkTOhPdGIMGjTShodD76EIRvwfbocThr U8pcI5r4SSKE3w8SUIymrYP/leI7ZU9MiV6JbINha0UYszh4I3Q0XBm+H5EB +Gy0KX4wHgFLBMqZBQOho6BMIJcm30WC+MHI65Hi0FEBoPTB02FD+LVwV6wl /i4NEOQQYteCJDqf0xTb+Qixa5GekKgBAG3wYrgrIsfepFvIDiQEIW9QG1Jn vST8DrOjJ9YSfjtYGyTB2nBX9PnYm2QX0sRPBknovZx8uIo3xM9H9oGlSfBG ZF/sGvXsTgyWkDTrnSiKrou9HLzIBrofU+qY6NOhXwVrgT/HS1xs0FNP9Gyo HHhOh/fSfraNS6T9oVeDZdEmmuPV8TbmoED0CkQEyB9r2UfxBb4NwoyEfhW9 glRZ786xQRt7BsIPWRS2+0IH9x1wfzR6BYM6e+dAFWNSQBQABqYfYR/th7DY Q7gnboQN4MY7fOPD3yE/A+Z7KPkOMtxAJiY2kHHE+PlwF6h7L/YCOcj8cD5y K3iaYHAUBcsgS8pDeyLbMGRjb8a+w/ysYQJ+BSGaEYILmLU1Dx/rw5VEG9oD +B3R56mHHGImDsQPRucjt8BEFyGLijH7gmXB0yGRaOAQwCy1oaMEclQTvCGG KzXBe1rAgfaQiGc8Qv+NgUtEVTun+W2oPEkThuAO/YTTgAwXkzTg3hspes6r Y+1LQP8q+Rq7FoP34LxXhVMbrtyUpTLJ2FBXyZjfC5XHz5OfYNhCHh6Kvxsv ie6P3IIacBzLgRg1QfZWRnqEyDYUFYbqAjHfBs7vM9GET7fSCT+LCT+nli1s ExHfXUnybk/7NM04n8959G/TlLt40ydzuQWHW7zufylR/YXFc/5XaGJzkatn 8R04I6FO6bdWWCuc1a5jShvu4hLk51zHnEVEY60QVLRPF6CFcX+M427GZt+z UyY4/zNezzTNXWX1Eg7/i9aKhY/ZuALH4vv8Etdqmqfz0CTHeY7RvuK4BLWN zX6OZd+zyeinfqRdPLdxlYFSRF8qMBLurTPIO2dMjpuOtxyXHG/NmJQ2HSP0 OIbmTjA03cJtpxG6hy4vL9xmDQ/CrtetndaKyyAXCmWUdzqrrXWXl/0H5k5Y 6xxDrted1QKMY3RWK6fQb4sfuo5Z6611zsbF6wih9R+4vGytczUufkiQUO/q 4Q5euG3tVE5xVRc/RGFdx1AgnRpBo1IFt7VpF687bkJXte9Zbmi1LZIoIo8U ZxF0aFA2V6MMlvYfANYKxyUFZh+lHzpWA1TbTXBcstb7D3BR564CxpDSxrau zr0Btr/OR7dWuGUAPoUjFmO0yJtBiwpr/cwJMGvRwm1KndXQqXHLaAdh7oTS 5riZjFDjg7C1Dqg7507MveG4tBgGS15HKAEtN3eWKQLhwTKPWUXeaa2YaeJC ub1M80ZtbqSUtjq0ALL5X6R+Tab91CiwSMMbx02k0ioXmCqdSj/J9EheyDQL WiugOy2up0zMgugk5QIf3zFE/ZQ+CDNVnbDIcU8wtYsw/+Hjd09QirpBvuD2 TOwTHTex6/Jywo6iawLR/a+woeTNbi+lrtcZorwzxSVcVhkSNUVHIAPkbadj +UFYmwcqaUnujUsMJCsOkyA6Tifywfwv4Y3WfYuHP5pyVaik/di+Z+WC05jo F5U2Vr+MCV4DW6pj5p1TPBCQnWwYVyOYagjDj+0phSjCsEUlVSKlrCY4VKSY 70AqJERLmEpIdkGpMmayrMRDFstKTVINPFPDhMScyLZFDu40W9CA0pbwHQQm KoZBy+cE6mH0vAJ8iCJyf1vrWf3ntmYRQ/iekwszNY4h94TSRnLYJYOcx9sy lzlLVBwMYIxZbOs3j6uRmedBeJ3m4YX/wtxZ6xCrtQI3cNKV2mSkXF5OWKXO fUveybMAahxmAboT6GDowOK5RP7ljpYKLHlEi5HLeC/ljRjIb2MGGwv4gnpt UHUtvkMS5XAlcwvbNWkZ3MsuLHyEVYxbBpM56R6sYIkapOMlG6cLpxHHKHbL 0FCHhcn/CpR4L9oBq1m+THJPpKqJls83EO4mLrtygcueZaQK6xBW7nz8azGU jhnnGPVkdK3BOKxCL3zM2njtLWKrLJbaM03Wigdhbhwm2xANoCVQwI0wg4FP Fz7CkMVFQursUdqYdVwTadbZxOdEeSdMKFDH506gbhg9MzVY+LNrM9Y6t8wk NObiXVP86LFLuYCevLwMKfpXmEfLZznHTZjt2Q9VlFPW+rmr3CzUA8uqIb6o wgaTcsot4y1UFhlrFfXPXXVWA0QnqzWnmGoYRolSxZZZgDDkWJ67yhZNSj9A vgV/N7Nt4nvRWidvZiGdxpg5nwvUv1IAYWBvRtqorYMyonVdPVnTWSEYtZlE tvKoV/oZI05ZNPEjn4XbWBDJ11Safynd9AzTWY1+5T8zUS0yWBRC1dLmF58y D9VlOjcna1rg4woEzMz45Oes7BcanG/uDThvyZZYlxxy4WO3/OXM8WjAWVRA 1JUZtiCrWlTD4jto38VzGM0oNotE37Ps8WhztpxaPt7iOQhU/LYl8eTjanT1 KKf44KcWrydNL2929Tir0c3FrDB6VtZ/IqzVKzDlhHWgqEuv/kHYPQFRehMe GBoXPuK/P4Lleici4a+Z2LIa/cSegvwvpSJOi08r1nqnceE22uIkIu5gDG+4 J8AGnZz7rNvrLMIlI3XTtTxYkqf+AhxIDb4=\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotMutualActivationResponse", "[", "15", "]"}]], "Input", CellChangeTimes->{{3.417780745121329*^9, 3.417780756808096*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxdlA0wlHkcxx/deikpkT3kvHdeErvZ5G3bvC8iovNSyiTteo1Vjs575FIY dMppV5Ec1+T9kkK7d6ejOm653NGcS3dehjsKs4ZwdzP6/Z7zzOw885nf6/e7 /+evc/LM4dANBEEU/vv7762bv1wh0KzfT6w9bm2ynqOcadZ7fq5gsZESRBx4 z/b5To+rDskBh5otKtAVFIE9jELfUF22r/E4q6E/+VyXpSqwjZJxLSVVA5iz VMiv9NcGPtM5Zl7roQucEyizczlSHzjkyWen6dyPgYWyat4RAYbA9G1pxRNn jYGDZ5kmnpEmwLcE32tIck1h38Y86yHxYRrw2VamF/8gHbiju/LtpaN7gMNc rNrC/M2Bb3xFb44IZwAXzLalx3y6F3i05lw8l2cB/J1z4fWMjH3AUocGR/LT LIEJu2+kbiZaAX/+ocRDnG0NHBMYIpJcsAF+lc44xfrCFnh7UcngpVtM4DuK xolPSvcDC3laTgZfs4AF2jc1mL4HgNuSFgluL7KOu+w7PT874KYeo8u/9iNf 6VyhaQfZAxfFTYQHv0ROUtHcqhvgAFxtJN199ndkmTkpNeFxR+AqWn2KYAzZ 6GSN53KUE/CQ64OGI5PI4orzu1lxzsALjd62um+RV1t4zRejXYDdac5OSfPI T4LMwiLi2MDZy90Vk0vI9+piJKuryN0FQ7HjnGH4PmQkGn9T9m6GeMDd2lU9 YyVgIjXWfIZFXeNxFnvDiVelMbuAia7027rJu4Epx/lhP5aYQb36AP/5/DLO 77K+8GCK0wPz9R3ofp/Yb4L48F/9F2t2bAOm/XaC2zKH5/9wCv3bEWXs7xXe 1DLzDvuP18hlNRpsAe4Lz0ngWyoDH/cUPjWSw+/nD4fskcUVrP/hipg9z+mA /czDHsqvsjdCvDyP0x11Fe+L83lL01O92G+qkWUaTdpH0ltodcxUAbhY/qNH wfXoL7e9UOQnRP9Sc5X8E0j7aHjYO4yVox+K3RLGYAfqsaxuWhG64nzXxaXI ZNL/3UmL5chwa0GPdRJx2ucZ3n+UYVpkjxfqySsOluHVYr9Wf+kJE5KeldcD RXX1eF4Wjo4GiaJQT5NDjjmzDPUc3POL0j6SnhS+/J/sE6iHpy58YZOEejJN 756pMsD51DKhgS1JD+Ohj/rqHM7TsCr15r3GeY9uZFzzUcT7O+mIRUM7qV6Y cO+2IbcM/GiX1itazkU/GNkqTMIM/biuXlTQJMB9tHdxnTeT/MiIWnwcGId+ GFKems66436NFJsYKkn/PaeZ5kQm6i8XVVZFBqJ+4zcGhl9ScV5yrH7WDtL+ oSGWk2Z92F+0RN0UKkb9wzrKp6pfYb8Rg5KtAlK9He+ltLwA4/HxWiWpc1if 8pOryGUn+qdyoc93mFR/X85IK4qbD/6luTVVi6PRv4ND2ZWqmujfjWMmA0eK UY/vVbX5JdL95NhwecDMF/074M+8Jm+D+kajpjRlSP51lpzULDRB/1qpqopZ rqgnWRyaqbwF59UN/mwuT9o/5X6ND1uE/RfOZT0T9mI9tcCtPZeUH9jpGa2X i/Euv6D5hUn0iz2V+UEPKd8xJJl7dxrzy+v3M15IMH9ETffONCl//X20Pn/9 eV7f///x9fUE8Q82Qhde "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{98, 145, 146, 139, 117, 136, 97, 113, 77, 90, 57, 63, 15, 56, 14, 13, 12, 11, 10, 9, 8, 7, 55, 6, 118}}, VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[{1, 120, 100, 83, 70, 60, 52, 2, 3, 4, 121, 101, 84, 71, 61, 53, 125, 105, 88, 75, 66, 5, 122, 102, 85, 72, 62, 128, 108, 92, 79, 54, 126, 106, 89, 76, 132, 112, 96, 67, 129, 109, 93, 135, 116, 80, 133, 114, 138}], LineBox[{98, 118, 6, 55, 7, 8, 9, 10, 11, 12, 13, 14, 56, 15, 63, 57, 90, 77, 113, 97, 136, 117, 139}], LineBox[{68, 130, 110, 94, 81, 16, 123, 103, 86, 73, 64, 58, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 124, 104, 87, 74, 65, 59, 127, 107, 91, 78, 69, 131, 111, 95, 82, 134, 115, 99, 137, 119, 140, 51}]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], LineBox[{142, 141}], LineBox[{144, 143}]}}, {{}, {}, {}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJxF1nc8lWH7AHBkZiR7Zu+953FfZRMaEkoJSchICVmVrCShEsde54iyUhFF dpEiI9mbEJFI/J7T+/m97/njnM/3c1/3fV33es4j5OR97DwFGRlZNPZF+hW+ 9zc340CZHtm/zw/Ufn/Qd/bCCPp/m9XSWE5fWP6vOxjV6SgdyOD/feie4dtC K9r/+rzCFqMSI/N/PbLYE1nEu/+/tit+tisizfJfP6Tnf+1Y9j93u8cGpGuy /teXeep7dYL/Z+b2DdWvb/7n31dvf6jv+p9HhFhdiGP/c3NH1p+E1f/5aaB8 UsAeNuCe0rm3vLuMHoq9lnZkYwMheVNt1Z1lFPrJtMFYjA1QncYo+Z9l5BrS Z6egzgZxjyPfMm0sIwup8yscxmxg9PR8yfPVZbR152rNkA0bSATxO/gtLSPC 0u3bea5sUJ5FWGaZX0aUlQXcypFsUBMOXrxjy6hab/agRRMbPGH6uFTYuYzE rT0Sb+mzw6HWUQtlArbOYb4qPxAHqNkfW7U6sYyejt34W2XFAfQb3sQhq2V0 yiCxJeQsB1T59Bo6my2jKrqKU/RhHMCzT5bHBi0jz+S1W+J1HDAnSndvQHIZ DRCv9ZzW5YQXpi3uR7eWUHlPyNU2TS7Ym3j0Q83DJUS47eI0bsoFPv2z+oR7 SyhD3dzqjz0XRKm8DoiJXkKxKVxSciFcUHdctVgqaAk5n674llDPBUo8AX+H Ti8htslZfVszbigbsKz6LbCE9j74qOh7ihuaGGV7hLiWEJlRFX+sJzfgBL5d xjEvoe+FtzZq4rnBNPSnvznZEmryOPBEoJsbDsRaCNeOLCL/n8dZZk7xwJyq N2Nz2iLyzNPe3fXkgUlzsx9/ExeR0wmh71yhPKCkIl8oGruILF8sNZllYfGd d9xxAYtI4npM4NNJHjhBn5iedHwR9VO8Gb16iRfeWqpKRVIvIh0W6WeUYXww vo/f4YH9d9RJbt/WcY8PxBxUFQWsviPHlZiJh1l8QNy9mRar/x1FdM1xSjXw QQjDzrM9slh8PDHcgoofBJzoRDz/LCBHeqljD+/wQ8Q7qPNNWkCrW7aeZ/H8 wJBiUPrm9gKKmI+OlCzhh6xfzykmri0gYttsdXUnP9wd+zGffwqLjyKIjOw/ AIdvSKiSC2HxlJLrEikHYJF33ZonZx5xrJ3ct0LAvPIqHt2fR4SJKKnqVweg xlJ9r2T4POpomHE4PHgA7gg3C+McsPgbhc0+BwQA9/vbLSs2LN6nb1RLQQDG U37JuJLPIx1Hmj8UIADsMYOsqktzyBFdUHhwTgB4663IlpvnEPGveMqrPAH4 61h+9dmVOaS7aFN+87kAUFYXSVidnUOd3yI/mDcLgPwJtTuPTOfQas002fCM AMQeNAQe/jl0ANeteoNdEHoOq58peTOLLvxJTM+3FQSPH8wtVCszKNny+7tA R0EoWRl1ou2bQW+zDect3ASBc+UOb8brGcRl8lv91zVBKEhy/BoYOYNakx26 jB4Jwqy2WE8J2wxam6n6xZOJ9a/dOEK9MY0EdZj5lwsEAf/9r9Nw/zQKGGu4 +KhKEL6sK5hQpE0jKXnJPbNfBCGDs9XyPdc0srlxQ+r1kCD8XnvU9vnXFLrZ 89UqYUoQuO70HNTvmUJfg+7iNdcFgUX8Gdfxu1MotmVVLYZNCLpmBHD9G5No wbHWTfq4EBy0740veDKBuCo57u3YC8G5Zsap+tAJZEDj8/yzkxA44/NNWI5O IHyJMMX1y0JQFkiTavBzHB3eikp7f18I6lQflibIjaMAi7H6zMdC0EN2r3t9 cwzlZWnP+mULQbOfhvXVpjG0bbSoylcmBBRveLeq7MZQSdKxTs8uIeAuM2df 9R9FX6efrEG/EOwtNPXt0xlF1NpUvOyjQrA07Up/c3cEnRl9caF2WQh6X9bc U6IbQUxy/ORM+4ThjlVkkBPlEPJunlF5ZiEMZHwcnsuP+9FbKPaQtRGGaEIV K+9GH2Ku8cklnhGGr1Jf8wWP9aHSZ5ssed7CoJYqxURP0YtWU+hXU+4LQ3Z+ J/Plw93oEGuXFEeqMOyqJUxfTvuMku4mn0vKEYYILQW7C3OfkOpN/k93K4Rh az2bU+5WF/L3UCi9+UUYjjmwN171eo+ap37O7A4JwyIyPuDL2I44HV8KhEwL A//Fk6Kupa3opfXBe9c2hKFN4FDNHppmRPuRqmVtVxjsKEcYLGobka1p+44v rQiId0uPtQe/Q5u4416e3CIw/reR3ZG/Hpm95CyYExKBix00ZYHkb1Gq8rch V2nMmstdF+Zq0XxxFvuksghU8m4ylv+oQdoS5y3O6YiA7m250V2eahSbLXV7 WF8Eip4ll65efIkGeZdenzosAgfpm5xuDVch2Yfla/3WIsB6arxjLuA5Cma+ JmvjIAKyb/FbSZqV6EOsjkv3eRHwEKZpkOGrQPxUZPgjXiJQau53pFioHHmF NXZ3+IuAauOJrQijMlS3GU1vHiYCx12YLjZGlSKmKxb6rVEisNOluR3X+Ayd Xdp/3TBBBCLSRyrq8p+iUrfe8oYUEZBXl/y4U1yCyCZS51G2CFxw1i9L6ylG RxzOCtcSsfYCi10/zmKU3Sdir10uAqHxFl3Uvk/Q6tHZ+y+qReDFjQpz/6Ei dOhDcZvqOxFIuRlqE25XhBKNfMnL34vA3Xb6Rp9xIhp/q6al0CMCTU1Wgcz+ RHTreR1BakoElHGUWlFVBNSjcGu0YFEE4o/tjXrnSECiRcZcor9EQNiPNecU MwE1ZnRFHaARBcJhRt3PwYWIjfvBm7R9ohBcfog8W7MQnU+y2+DiEoXYhfbQ 9I0CRB097soqJQoNT0pGl0MKkA1FYUaCkiiMGN7f6jAoQIXBHr2M2qJQ8T09 d5KxAJn4rhnSmouCCFvEkEhBPoq1pxb76ykKoxlvFSoW8pCeIsOvuSuisBpG 71T7Lg+tULG09AaLAm1yIH4Hn4dsy/gvlsaJQgyrsfaPY3lIjFatxLlYFE76 zI4bvM9F/UPaoUcqRUHVS6Wg8kkuiqsAK9xrUfAnw89S3M1Fq2cOr3B8EIV5 7raH3Mdy0dvnzmrtC6IQXmF30mEqB125c5H6xU9RsK8WcVx4n4Mkznn35f4R BYfrThICFTkonuF6YAi9GLy8qpN27lYOOuWcWKsoIwZzB9rM3knnICatlHh+ FTGQrv0etsSegxqYMs7u1REDCT/80xTyHCRZTSSfNBMD/JCLmf3XbPSLud7w kbsYuMj3nJK7n42Kpps5Ii6LAWf0Q/L5sGzk8PrDjE+QGAQJ1TLt9c5GjRf6 Y8xixYCRfWzXzTIb3a9b7vhLFAN9wXU32/3ZyCB5PWO+TAxSRg1zpiiy0e+L f7z7XmH10oQyNaxloTPsNCxlbWLw51MnjeNAFpL1PGDjMicG6xTtqpv5WWj0 oKjE0RUxqHhyUqb1cRZK4pT+jdsUg8/ZsxJ9d7PQVoNaKiedOKTg/Ouf+meh Vm6L4XZJcZh+NS3PY56FnFuuuyq5iUODnxqn+59M5KIrbvnLWxxamdiV981n IteyLrWaa+JQzcybQjOQidzSxKgMo8ThWLz61/kXmcjL+2OubYE4yHcW85sF ZiKfycA7/E/FwY3sFquteybytRP1G38uDjDBUv/kVCa6oh94yLNJHKSuPzt2 AGWiIE6RsbBJcViwHeqgpctEwXEdrQbfxaE3KO4133YGCiEPKKVbE4eIy8ev eCxnoPCFD2FJeyQgbUnZo7I3A0W+8T9QKCwBbe7hZ3sKM1DihfZTnY4SsIfu E4/T8QyU/O2KfpKbBPi+HwrPMs1AD44KyNj6SIDNNZw/HWSgFJ0rW2NhElCc W/zxpFwGyth34PF6hgT0MN491UWXgbIiWsOrCyTgqX+akQV5BsrevOwW9lQC Qj/oly39Tkd5Ey0adHUSkD5x3xw/m46KXvj28g1JQOYLC9OEtnRULMtXNzYp ARRfej4eaEhHJdnN+QXfJYCSH/fuQ3U6Kr3De1VxWwLwuQbEiOJ0VHW2idWA VxLG1M1oTtxPR/U03Ec97CRBoKRsjtoxHU3nypsNnJMEOoOn4p/t0hEDGOgb u0vCw3gvllfH05FtgLeayHVJuCTXM95nnI6WZ5u4B/GSkErdZmKulI7Ybg+y mOZLggz134kpmXSkLbRC/6JEEvbOcJmliKejSDu+ncQ6SQiOg2eH+NIRf/vl cbNRSfihUMuSQ5uODrlGD76clQTjlhmB5T3pyI0io0d8RRLy6BNLjuziUaV2 WzMFhRRYFM+1Wv3CI/MnAk+qRaQgZHKGQ3UKjwLjPvhJX5ACNpegHbNmPMqQ HPdM8ZYCzoZhjRcNeNTYuHGeOkAKeioT2pXf4BHzX2Hb8WgpoJ913rV5iUeF lwJ1U4ukYKmh8p35Ezz6QHdPjbZCCtTQZx8ZAh6t5ufJ+9dIgXcJhS9XPh7p DX8UPPZBCgwtnoZxZ+LRF0txqr1LUjAXphJTloRHW/M6O9d+YePpfvJfT8Aj waijG1M7UqDxu3LZIB6PPN8Ez9Xvk4YXXnZs1DF4tEexuyNQSRoYAigS9obh kdL+8IdzV6QhJDVea90Tj6pp+yRbgqXBsz+bicwDjw6RydfkRUgDTSltFMtF PLJeHhw5mywNl37+Gbc4j0f+HRpSvRXScGRLtYz3DB7tNsbXVNRIg16IT6nj aTyKfj1lcf+dNJhNeFoX2+PR4ydJ2GuCNPgSP9qdPIlHr2OWaxpWpSEOf5h8 6wgeGd4wsszakoYiqa5dXys86gxIHw2hkAETHpbZZQs8GrlgTqXFIgM+C0Vc f83wiMKo0PKZkgy4Nr2XOGWIRyYUZ8fSfGTgnHuOPYsOHn3afO4XGCADBU80 LEa08Mh+hYH6ZLgMhLef+16qiUceo9XSLAky8GhBo+acOh7F13FciX4mA7se qh9+KeERZ9UlatcXMkDsm385rYhHWSWNKfpvZKCINqP+qwIeleEv1+50ysBL /M5Upxwe9QR1Ul9dkoH+crXcKSk8crgs9vjYLxngYJrNW5PEo+mLwTKKOzJQ 1VGOo8G8YSt9ZIFRFqjpXCbUxfGIRyPy8Tk5WXChUVd7K4xHjj9xspaessAb HjrozodHjCxkXT1XZCF68eJQOi+2X4oNfqdCZCGO7qlSDw8esXkZ1bjFy8KV L+bpZtx41DpraXarVBayrkcKO3Dg0VWa/Ut0r2TBvofPhsiOR8Li3fcT6mUh Jrnk/G82PAp2PjmQ/lkWNlVWejNY8Uhx+KzbyzVZuNrWn8mwH4+GtoUY0F9Z eBv7qdKLGY9ieSefNVHJgfVY7MnufXg0aeu28ZlDDj6nOQvlMeFRSrdP5KKm HIyzuSc7MeARWduNPOEQOWiimrI2o8Wjkhl9E+JtOciqYs3oosH2h5r6u0K8 HNRWGo3YYq7Uj1XBZcqBclKrsDc1Hp1zOtz3rlAOWn5k7P9LhUdMN5ium5XK Qb8aVXccZre6xIaT9XKwamtfW0aJR+xD1q7DbXJw1Jm23whzwx+Ovec/y4GA V0Lx0B488uYZKFn4KgdGuGQVf8x8WmlHL0/IQVny8/PMmNtOOqz/XpCD4a2i g8UU2Hn3F3gctiYHlBO05aaYRR6M6VL/lYPfCkXfZsnxqKsidzSOSh4k6ab4 w7H5hXw+H8HKJA8sjaFnOMXwSHpFQjKVQx6CRhyfc2DnuW/f/HtBAXmw+VP7 8mwQHkXIF3sXSsjDdL+iAWcRdj8tvFjlFeUh97rhxtRXPBr2UHxRqSkP/vZt DFIM6UiTWLlTbyoPEWdrxf96paPsjCa+jbvyQD4GrN/WMxD+tGzfiYfywP49 q5lPLBOl8CTdr8yQhzdHd2cUrTNR/ENH6svP5OFj9Enmj2XY/1n8n+XvXfIg XiMV5aSWhY6FKr0bZ1WAMsKlvHNzWYjyTPrFzscKMLcuO1GmnYN2eSlF5XIU QN+JTuaZZQ7aGnAfvlOkAFf1cayxTjnoxwnN46Y1ClAwybHaF5ODvll06zZ+ UwCz+JvVnb056GsGJe3QPkXQfEnzhM49F1XEaw9+PqYIqeFuinpX85BTGhNV tY0ihA35spffykMshHH5bHtF+Msqk0CdmId86mNvejspQi6l++2jT/OQ7NpX KYbLihAbPRXkO5WH8uyuBxjeV4SJni6eJYt8dNzVKkf2gSI42rQ5X7XPRxR+ Ih9YHysChNI3D7vmI8e49wLjWVj+v5N2tmH5iO8Nb0toqSKM7GcKnH+aj5JF X7O//KgIBnrWG0W0BUhfKQFldiuCxvjPJy6sBWgV53Ixsk8RKrfWuykOFKAj JxlqrUcUwTR3WmJRuQAxxJ52WVlSBNGPz9JCTxWgiOXtcmkmJah5U1NcU1iA VLa7vu1nUQJE1WHwqbQAjdPmU2+yK4F7P5lI56sCBMIW9i38SiDkwOgR+r4A bVunk7vIKcGf3LuWdYsF6Eo17kj6YSUI9jw9NilXiJ7bt1AMHFGC1iUJESn1 QvRr68hzthNK4EHt33VcrxAF6rjwxDkoAc2TSGcHy0IU+jp2MshLCeSEZGVN LhWiqLq+ANsEJZDoXaIrKyhErWfOySQnK0Gvf/y1gJJCtHd3fuhjihLcH/La L11ZiOLQziHjbCV4bmRdfri+ECW8FWVUL1eCrYqi+QdfC1Fqg282aw+W3zT0 3kU6Ahp0+nPcql8JTB1zTi8xERDfntvUd74pwc6vrW5HNgLK0E/xoJhSgoXH i/f2CRBQbmOd2sq6EnAkKMw9ViGg4mb69k5OZUjkEkuPtyOgRdcHwXv5lOEA r8ky1RkCkqcRUDASVIajcR9pvZwIqMxYOblWUhkWcfst93sQUFWr7ZliLWX4 mVCqRLxOQG/a81djTilDJN6S1jCVgMq5unxDzipDXFT5ZFY6AeW5bv3wcVaG dz5rX1eyCCiWwmr5pIcyuNkcTfErJCBr7d8LYteVYUwqdnyzgoDmiWZT9anK UGRYGiD7noC+bVxxeZ6hDAPPhh/NdhDQR8PMCUKOMryQZ6xK6yKgyrGfY/eK lGE3q/bczBcCCuNOH3aoVgbXZrwv5ygBscUs920OKEN0SyPHyioBUfdxn1wc UgbLAY0HUusEtClq0Ds6pgyP0qKf2m8Q0PDblJ6WOWWout7BXPiHgIi/D356 sKkMHrsmnAt7iEjPLbldiVsFRv04+VVYiUipqs5UjF8F3H3FK3bZiEiUcq6V S0gFfC/w4Zo5iIguC9eyK6kCsxr3gg7yEFFP3/S7Dk0V0K+url4VJKKLxlq1 F21VgIrnHsUROSJakuRuKjutAsXhwhcm5Ino8t7ND5uOKtBD0bLHV5GIgjte fou5qAIxV7a1rqsQUcJxzW1ikAq8qWL8YKFFxN4nNXTm8SrQAixf/+gTkc5B Tn3lbBXI9c3+pGNIRG+FN8yC8lXAZOyb7DUjImqbqrLf+1QFNleGj4yaENE3 D/Ug6TfYfF7XM4ZaEBFFgNor9zEV6N/fFLx2goii7Njry6dU4MZpsuUVGyJi 0Flv3ZpTAVyaQNXCSSJi36nsj11VgWr95oAeOyKSjFD9XbRHFb4mhCkGOxCR VYKKxoKYKoxkOq7Lu2Dr4cuKVKRVgZfDJnIDs+3xn0bX5VVhPu6WdO15InLi qLCh11AFZr7DHegCEfnjlf1lTFRByNijW8SdiPAEpece7qrA4zL5wNubiFoH nFszvVThR+mcDr0PEa3tfTjYfVkVVhukCvIwm1/aIte9rgpHWD7MdfkS0ZbS O0uGOFVI0nVgZL5CRHY11rPFJapQa7UxqBBARBHfI/+MlqnCw6VO3yeYS/lf MbFXqYLNCzsNsUAiog3nVwupUwU9uRQ/1iAiemkwfcPioypQBesnDF4nIo7O a7xLP1Qh0SvIVzCMiA7tEuWF11Xh4nmO0JuYvRS/HbTZVIWqKo4DE5ibE8Gt jlwNeAkiklnhRHT1JN3zeBY1qPW7zLn3JrZeo6mWCqpq4MxAUZgdQURkLB3n nDXVYG/ottUyZln93SuPdNWAYuP9kM5tIrqV75y2a6AGvecGyz5hVnaXnf14 Qg1MiuRKfkQS0f2ftTd8rqnBGn+f4040Vs/nhHOnr6vBTdzoR40YIjpc5nzQ JEwNTKNiA3wwU3vTkQtGqcGFgR/hI5iD563DPz5UA+mPhe8qY4nIdWwhVL5K DYgUrzj14ojI4G3dGZ5qNfitf9PSE7NQ5n096jo1MDqjM/kY87fTGjtDTWqg iOtT/4n5aP/NkLtf1OBEmGx9xl0i0v3IHfx9TQ08FfeKD8YTEffT76f6f2Pz xT20JrtHRL/i3ug0bquBQeBDCjHMZWbn/6RRqsM3HvcxT8zizaVB5mzqYHNw q/8X5v21xoFFKuqwX3Tr/noCdt/SeOweaqhDe0nODdb7RPQhaFHzpo467Kqa UilhjtRM+m2nrw6Kg6Xf3DFvVwxfozuuDly0ResDmKeLrvq7XVaHCDHntoJE IrLh3xkm+KuDjDP9yFvMTfcijeeCsPxCKPEr5rwrj7jcb6kDQyj6wpCEnW+9 V9UeyeqwGhW97Yl5+NP2jleVOixErsvwJxORpcHtC8+q1SE15k+zEubaKsau 5Tp1iBG0YzfCjE87kO3Tog6ilzQ+XcJsfx70L/erw0a/8ZdXmL/8vhV1dUsd HJlutRk8wPbDg+HH8x11UGn6znACc+VQsu0vCg34VHhr/3nMiQ35UtfoNWDr 4+CFCMxH4lreB/BpAGNWt/NbzG93rFRfCWpAQseTvk7MCr79+E1RDbAmarMP YWaymbsUJKcBrOjyj9+YPwjQMwfraUAVm6mW/ENsPxOTAl4f0oCokRFGHcxP KPnGto004LzFaJkx5tg52fIQKw3I8PLxcMRsUmFpHeaoAT4WTK/vYW40Sky5 eVMDdmslDk9jnnKt6QiK1IADJyeqlzFTR01S+MVqwCEZW5pNUv8W9UvOiRrg yaelQ/8Iq8d48KBBjgZw+9eck8fcbSK6QNWgAW1nlBy8Ma+5WQjuNGlA4atX 3/0xs8X4n/jVpgHs4iEXQjHbtLW+mf6kAa3kybx3MX81vZTcMqYBF2m0LYmY x82qcDHkmhDxLUZxCPMej5HLN6g0IfoYvckEZtE7tIRAOk0wPrFtOofZ9b09 i/t+TbA30N23jnnefHfaTEgT3I/F5dKnENHqYZMEhoOa0NDCoKWGmfWSbxOl oSbEz6rxaWNWvZu6tW2iCb/XGpf0MPt3fHdZPKIJdK3yziaYtyzua3U6asIC vUSYPWZyq6/j98I1QduiteU65ta6EyJXIjRBS/FPVhjmBPlPzrbRmnDcpujS LcyCTK2TggmacDb89EgsZuh4Pl2WqQmCmzaCjzGHm9+f767ThDcqZ30qMJvU MMi8bNAEyGSKqcLMLBPtgW/WBNoelUevMGftDfvu0onN7/FI0hvMb9s8l9aH NCEpsmX/e8xkJiarnH81gVgibTRKqu/FO+VtMi1gVLvTOE6qTwL5jVJqwa28 49pTpPpo1NcIDFqQpcPHME+qr1nklxafFuSs7Tf7SarPYHfzlI4WdF8JtaB8 jNVXGaQNSAtCiw5ZUGNmFv0VJKqvBTy/NIxoMWftWfzz3UwLkslBlAHz24av f0PstSCb7kIyK2ayg1XkWYFa4MpXeEgIs73BTHt/iBYM2rfuCGOuNOZK3n9T C+pOdVSIYnazDBK/FasFbuufaSUxfzqlZ+6aho33esdRHnOOf3OybK0WTK08 N9PGvB244XC+Xgse8RU26GC2CZGUyGjSgk7BLE0c5r0Rsa/2dWoBaHGzAma/ +5bDq8NacKmT1sQQc2dyWKHMhBbc7xu9ZoRZMqXUx2VGC1wsXqQZY/6WwbKn d1kLrpsJ9ZpiNijulXhFpg20YSpulpgzntGsrFBqw3mN+zesMP8u16yWptMG QXOWh0cwF79KPYzfrw37eN+VH8PM3nLGN0xYG2JTyt7YYJ4em642NNCGly+D FM5ghinOiFATbWgc3st0FnPqrInFi8PasFY2PEey5XLRiOQJbVipGEs5h/nF thclg6s2pPsZf3LBHM25YfE5ShsebWxXumNObm2daLijDdvP1+w8MGcGpgZW 3NOGGDmbbZKrBnH5yY+0QY5xXfMS5qnMiG2bQm34lNzx0BvzIUmWJ4PN2oBX EfrpR8o/MAEf2rUh6KS2/xXMdrHPe193asPIZvQGyT7fbSkyejEPj65dJeUr zbRznNYGXmnlwWuk/dKUo52i0oHZqXs21zHTzu+kf6HTgQPkvnUks6Z1qTQz 6oDUzHvRYMzSf/3OFrLrwINdwUWS7eqrqy6K6cCjnvxLoaT6TU3OLxnoAHXB kOYNzA1b3H+GTXQgi9f7LskdTxYSPh7WgWMzqaMkTzLee11qrQM5499v3iTl +/yF1c9FB5zZil7eItVv79ywcUsHKN9Sr97GzJQ5P6obrQMmYUvakaT9nPDd vRGnA/57dm+SPOMZrsvwQAe0H3xijsJ8Jiy9SrBAB+5NaAlFYz6c11dk2qoD F8xxTLGY52fPtMV/0IHP6c+NSY6Wm57p7tIBX7Vz4SS/q1oTPTOgA2JmAcsk a7ftz7w8rwPuOaVNd0jnc8k8KY1BF2abg6zuYm5W7i4bZdaFs8sKISS7XLPv EmPXBaMexSKSM8kuMpby64K3rzxFPGYO1sioRnldiDFvKiK58iRjAZ2KLvQS I7pJPoZPbrTU0IVisvo/JN8VyyUfQLpApt5mdg8zpebb64tHdAFXEDVOck6w caryCV04GLFMnUA6v/WdL6/Z6UL75ltpkq+bDa2TO+lCvlyZD8mrp7e8Ofyw 8Uy0f5E8dkPVBT3QBZ13dxbuYxbnYIr3eawLNOXrNImY3YtmXmSn6wLdsw0R ktc+p9JTFuhCaUm2Pcm0ouQVrVW64On/rYFk+eYO8mP9uvBl2+lGEum+2xfK 3PqmC4Uarx+R/HIp/ETlqC78tn9fQvJBTlUix5wuMKdyDJBs7ZZ6ZHBTFxJz DsomYw7aeyHThRcHf2XJ35H8JgPaHgjggGnndg/JlCo8P5tFcMBv1TxF8t1T HUZSslh88Q2aB6TnY7HK0qIuDoy2+ExIbrEkw107g4PdpfI3JDNMDLgSnHAQ Wj/dQfKRaxUJA644EEpeHST5a6brpI43DlqHLTZIXvrx4Q5ZOJZ/RVzmIWa2 pMdfY7JxUJM8F03y3i+sny7n46A7nSeJZDLO+JZTRBxYsUmlk7yYerNSrgwH IqsTpSQ353jEf3qLmWmzl+SActwh7lEc5FxpPPAIs9faC02KSRy43jGUINlF XVlhYQYb/0uWAslHq8X5apdx8EpjHpEs3bDvl+MuDizip86QPPRpjEg4oAea 1y8+Irn9RO/DIHE9KO9NySO5aqD91mF5PVCxDigjOWGswuEHTg9+GV5sJzn4 PMGswVAP7ty800vyxTm8RrKFHnz2DRsn+dDK7f2aDli7buomyfJXg3bozuvB TEQiZQpm3k2vhUFPPUjBye0jeY3MtiksWA++xjuKkFzALB3YkqYHco9Pm5D8 oibm2qE8Pfhg9uYoya2uc1dri/WgNnHOnuT514TLFbV6kFlU5knynwu0vvLN esA95HCVZAZWN29ipx7oRnSFkCx3UcIzc0QPKiRq7pJs+Wba7cEPrN6VK3iS fdgLzt8hR/BcQaiI5Mp60bPXRBDUwHADyb2ck6cuqSIIeKbWSfLGpVxbZ0ME xu0MAyRzNTqdsLNBwDUSOUGyNo/wMasLCCqkmhdJPu0zZmkYgOCuoc8GyaHN WeY6MQhGGA6TPcZcf1nAUOIJAhkuCmaSE+Jycz+1I/CTGOIj2bFAgiJ4HsHN MwRJkrlGTyiyUgEoeNKokrz7/dHZWTaAH8KqeiRPbw7E14oCkB+bNCK5k5qv LlEV4ORQpCXJVaxnFi8YAMwQYk+QnCGYxYezBvgkdOo0yQUvqr4Y+wFInEy5 QPJTy474Y4kADksnff71n5owdigDeDxGF0BybfAWmVsXgHYEIYTk5YnwnSbW g5DUNnybZCFzmm2RkwfBlcARR7L73ZR3Ow8OwiKF9D2SKz9K3RnoOQges1qJ JAuasw1vcx0C16C/SSTHNe8oCjocgvbBDw9IZuZfs3iLPwS9zh8ekpzkN+fu +O0Q8OG6HpEc3bgHV8+jD+ODfikkB7Mf2Cdspw+GO93/nJh53/M9Xh/MtOgf k0yUomq/MqoPxHjZf6ZeI+euP2MAUuUB/2yTOPBeIdcAzP2z/rlQsSw0Y8YA nMzq/tmtrWS6Q9oQlr+8/2cppyLLv5cMwav73T9T9JaFE4sN4UTry38eNH1V fmLBEKzt/+PeX9w+ZgpGQJda+8+fc4PkkJ8R9LE3/POUzHRlabkRDIa9+eff FUd1hVeNYNG74p+D1ccDrBWNQWCH+M+7Ly8/j/QyhhSDvH/Ov3I6hLzcGE6Z Z/+zuaKRYfC6MUgW/mc+dC3afX6qJkCl+Z/2FgeFix5+JvCNKuc/85ULiXzy wgSKJf/jqL/tuQt/TKDryn/68/Sld6z/NYE0h//4aanPxu6uCbw0/I//DzJI q1Q= "]]}}, {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJxF13c4lf//B3Bkk8re2Xvv/X7JSIpoIFllhyJKViIRSlaFCoWiVEQqRGRn RTjHPCfRsCJlZPzuu37fT+ePc67Hdd7jeb9e1/u+r1v4+KkD7lQUFBR+2Bf+ K3JtPS9bsNSA4v8/L+ild/p5XUP/c925J/lSXjn/uUkpwJPW6+l/brnSY/bT s/Y/t+pcfDXt2fWf21KGAr54jv1n89d0lpOec/+5Y6sGA7UjBfzPu66ZvHmw n/4/uyuublXeuv0/7xuKK+AW/Ge1OA59CsV/ph5T8u2y+ud7SZ5tfun/PDbz IfYh347/fKT46aaoDOt/Bjv9m0y6/yxF/U7hx95/Xj466Vjv9883mASqXUr/ ufdEwrk7Wmz/uZKTe/ulPf98r77gga/9P5/mrevXDf/n7W1LaoO1/7x85lJ7 Xfc/jwmzuRWR/7mpI/d38sI/PwlRSDu3hR2I44erN+4CuiFeLePCzg7yKl9i +zS80Pn3e+p3i7NDz6d4vZLVM8hC2n2eczc7FLg5luTlxaDVxDNVIzbsULsY oWTAFI8KZy9dyvdgBwrr7wH7XK8i6vL7PCqx7CDULko9s5CKKg2+GFo0ssNU W4AEQeAWkjjkk3rRiANO2t5/6cJVgD5UhDmYH+QAJuuZZbRagKJ4rkjscOUA J8G0NNHB+2h4tLgyOxpzXJe3dEohSvOe/fiqjgMeNislXxh5hCgiA1S/I05w VnzH+WCtBD0hR61X7OeEvPTvtAt2peiocWpzhDMnbItaFOcuL0UVDGVHmSI5 IajU8TiD5zPkm754UaKGEy7b3ird8qYMEYuCPzjoccFdtpOC+rsqUCzz5WzR fVxwliXzg0NSBVI7leH17SgXbMsVjbpDrEDJaq/WgsO4oMziG0eK3wtkWrsq llbJBZxJdKOFiS/Rsw8RZ1q1uEFQLZLvcV4lKrzkdvzjHm4QFpuMG/pSibI1 9u7/bc8NbAata8byVSghg1taPoIbNqQK3AhlVcjVoWw4uY4bIpvvPfR+WY3Y P30xsjPnAeXiq4YW92rQ2R8HWT8f5YXvZ/axP6WrQ775Opubvrxw395lTFO4 Dh0/LDzNfZ4XCu1uqyfr1CHLF7ON5rm8wGNrl1buW4ckw+JDnnziBWVz7/jZ zjpEoKolnfHjA9bFAzPKV+qRLqvMU+pIfkiSZ3fpn3+LOintWzuu8QPfhTUl WboG5DIfP34jlx/Ux1MXAvkbUEz3Vy7pen7oOVVtOGHagDqTii5Y0AiAl0TO 2vFb2Hgm6QM3EgWgeaWVq9ioEcVQS/2UzBCEuE4d1bqMJsS5aLttvlAQgqNV E9OeNKHC8TjpyleCUGtnwh3e0IQ66j877hsShO4Eid7079j4qAdN/oI74euR ncb05s2oaF0i41X+TpC21XwttqUFef5OvVNgJwTpBI/i/oxWlG45/TbERQj2 +kwyuj1rRW/umnyz8BICsUizNaX2VsRttqzxK1gIoKDIMpmiDbWkO3ab3hSC yBC6mzd925C0gtSWL31CcH+1nTng4DtkExUlXT0iBPRTDn39Ae9Q9IfB/ckT QlBmNBxzK/kdGgy9elvrJ7Yfd0GFedc7lNC8oB7PLgzj966PRVm3oymX114y B4Whg1JQOManA3GXc17bsBeG67YvWDaSO5Axnf/znuPCsJqROLZZ0YFuPxah CjstDD9PmMzdp+5E+1bjbr1LEYZYocvO/fc70TkLcl1OpjBca5tmGO/uRPm5 Ol8C7wpD5Ee28Wu/O9Ga6Ywaf6kwENOJ0/0HutDjtAOdvt3CMHH6zdlK6m40 OPloEQjCIE4d0HCSvxvR6tDwcZCEIWWrgsoFtW7kRHrh+XpOGAQN5Znr3LsR i7wAJcs2EVgxOz7wpb0bnWr6rPrUQgRmPprtUn36Hr2BYh85GxFgu64TztT9 Hm2v8s8rchIBVrX4s37z71HJ0xXW/FMisF+hJLdXvQctZDAtZKSIgGmTZqph Yw8666NYEt0nAk3MFM/Pb/Si8O3BcjaOotDBdql2f1U/ak/Qdet1F4XpAn+n 2M/9SICG4rbVSVF4+vWnfSDbAKpZucy0N1IUpmLb8tGJAUQxnvUN3RUFlbeq B2+zEtDF5zWF0hOiYHdrQMbXnIg+KF4k3Z8RBbJTQfDySSISe7ibW+yXKDQu SruupRJRQ3Z3nCCdGDwpoV4/RSQi2ssfPdikxUDvonWlvMsgSrCnFV/3FQMG MYFUZ5shZKDE/OtrkBhcyEhlVQ4YQvM0rM394WLAGUM/nJs4hOxKBbxLrojB N1vLIy61Q0icXv2xa7EYrN+rH4oSGUZvnruqt02JgYAJQ7cDYRgFJXrTvvgh BpIDgdsKZoaR5LFTA3m/xWC6KyQ5m2oEJTGHhUQwicO0RuDDItkRdNQ19bWS rDiEZq726IeOoF/b60xunhAHK+lRA2AcRQ8nmzhjTovDcbnWDi6+UeRY3f7Z P1QcNhyvni+RHUUNnoR48wRxsCtK7JHaN4pSauY61ovEYfOeeKhFwiiS8xW0 cfsqDlS8ChI710YRyVBM0npeHKqNhj39GMZQGpfMsv6KONSPW7+I5xxDq/Xq WVwMEjAqOu+gqDSGWngsRtukJGC2w8Nk17Ex5Noc5qHsJQHRtcS3vFVjyE1P wvLXKQko6E876NE4hjxKu9WrgiVAZbx8MLFrDHndEqcxiZMAN8vFJY/xMXTy VFee3X0JyDK9vqOCmoRCuUTJkZ8kgGJb7c9kSRIKv9LRYjwtAVbbLi7ny5JQ BOW5EoZFCdjYsCEVKZLQhan2yLQtkiCntF0vTpOEYmvPCj4QkYSYgL4tN0xJ KNWz7WiniyRkZll7KR0nofThIKM0L0ngq+3i9HEnoevWO2Xt/CWBbt/d1kwv EsrQDVolR0rCxq4t070nSSh7m2Dmz2xJSN9V/b42lIQevgjo5x+RBDv5F9mZ ySRULMdfQ/4kCTs3Nn9KppHQ47tNBfenJSHDu7aj+DoJlSTynVFak4RNZ4+E rCwSqnBuZDPmk4Idyte+M+STUB0dj7XPESmILPPJP/SchCbzFMyJx6Tg+Jgf Z+wLEmIGY6PdJ6SAblvF0yevSMju3Cl10TApMEobnZh4TUJzXxp5hm5LgbWB lvD3RhJivzTEuqdACtT3J6SONpOQjvA804vHUsCRd1arsRWrzxH+jdQaKfCV MsgJ6yAhgbbTH81JUuDRkiWZ/IGEdnlcHnr5RQoiXqwlG/WTkBdV9geJeSkQ CE3j/z5AQuU6rU1UVNJQdtadXn2IhPY+2vmoUlQanjwfFAggk1DIlfZAGU9p YKif2NMyjdVP6qNvxilpuEPW/MwzS0INDUvutOekQedggKLHHAltXxex+3hZ GqTDd26dmyehB34helkPpcF170Rcwy8Same4pk5fJg0JhCvvZpZIaKEgX+Fs lTTsjCc6sa6QkMFol9CBdmnopXhcafGbhPosJWgYZ6VB/M6Ovdc2SWj1m+5G 8C9p+OYvQHudgoyE4qyXJjakwSWxOucGJRn51oZ/rdsmA9dbjUuubiGjLUq9 HSHKMsDyeILego6MlHdcuPE1SAYOs4l0CbCQUSX9gFRzuAyYNJzXGsK8i0Kh Kj9GBvxYVQaubyOjQ3NDY87pMsCutWeEagcZne3QlO4vw9YvNFd8zUZG1fFz VfULMmAftLaripuMTKJMLXNXZSBdWjDLioeMOs/dIUVQycKPe06vxzGPee6l 0WaVBQaOoPgtfGREZfrA8qmyLIjvoeOTESAjMypn8i1/WdgTL/6SR5iM3q88 Dww5JwtWGwtB1zDbzzPT2l6QBcZ4njNbRMjIh1Qpw5osCzRRIfaTmJNqOIMu P5WFS99lvDLEyOhDaCftmVlZKDD/2vdMkowcT4tnHvglC9+1hgq2SZHRpHe4 rNKGLOjQ9nP4YF6yk7Ga2ioHZ+lU5gSkyYhXMzbzmLwctA/5CQbJkJHLD305 S185iA8/5TwpR0ZbWSm6PwTJQWewZp66PFZPpfrAoxFycGone95FzOwnTau8 kuRAhk5gik+BjFq+WJpfLJEDmksgbqBIRmfodswyvJIDxjtRvRcxi0j0piTX ycE9Ozm3FszhrrbEOz1ykPc2BlkqkZHSqLPXy0U5WN7Y4mChTEYja8LMaF0O KsHndgLmBL5PTxtp5EH7uzO5CfMnO6+lHk55oJXWStRTIaOMXv/YGS15cGra 0s6vSkYUrVH5IhHycEQ3TaFcjYwefzYyK7okD4c9zGPGMdvT0k4rJslDSLwv N6s6GZUbJajq58jD7UEvOj/Mx47vG3j7QB46Mzc8MzGzRLGEmZfIg9RYB2sj Zq+a1HrbOnno5ww7zKtBRhwjhzxGW+VhZshswQhz/W9ORvceeTh3L/OTL+ZT vMTHU4PyMM/5QeE6Zn7tW9anx+Whe8Kptxpzq63jz+UpeeixWeoZx3z27M7M yEV5SKmz12DUJCPR62Q92nV5mPAizCpi7i7LI12hUQCnzFFrDqx/ET3uMWws CvDujTxZnJOMZOYlpbI4FUDZS230MhUZxSgUn3ogqQA7oy/vQsMkpFVUvlG3 RwEMUqYum2L3w7vZjfxLVxXgvYpkxyMWErrtIDdw+IYCzPEME9k2x1AGb1pK ebYC3C7R6zMjj6GkGy60p58qQMblWVOOB2MoNOn33HS3AlzwUW/dojWGzuw7 /nAvUQEUHPkcrQXGkD9jq9tDsgLQZbPTMmzBnjexN4ieCwpQdZW292nXKDpw XvntRzZFsLGVCXnsN4os9DIiDPkVoTki55GAzSgyW93QzBVThMvcuoJTBqPI 4Gx7saO6Ivx6T+q/uWMUyZ70vEGwUYRowZnA7VUjiNrpjndnpiIQD7bYWgmM oE0+ajH5e4rwOLpxbZZxBK0ST4wmPlSEgrI37X3Lw+j7Ya2De6oUwWGtxi64 bxgNW/TqNQwrwkl74aNTKcNogElnSWRCEaYF79sURw2jntbc0qgZRaDQf0As DhhGLSYnJdCGInTZGoZ5HRhGg9nU9CPblKDXxF70KecwIqxrujOzK0H5vlEd a/ph1OfgU6/LrQSXVVrNZFeHUDdvT3iWkBI8WBtvvTg6hJpu5MzbKivB+Amz 4idFQ6gsSWeo54ASJF/WTtTeM4SO32KhqbRRguvRuykrDYYQa+FHhbv2SmCT tMPWRW0I+dclRJ86rgRdB+zP8AsNIbnFQWnm00rQalWZbrQyiPKPhJ0zSVEC litz34dLB9FBj/335K4rAf0V3c8RRYOIKlC0nS1TCcjvhUh6dweRy5V3Oz/m KgHxk5EwW8og4q/laz5fogRD71TUOE4PonSxao6XXUpQ1+SszKU9iIyUk1FO rxK8NDz/y1NlEC3ou3nHDiiBkoRPUrfsILKyZX59aEwJSgoLRz4LDiLmBAe3 +Vkl4Dg01iBOO4hi5taeybAow4vpEzsyCUSkutY9vINVGb7d416AXiL6SF9A u8KhDK8TXRp/dxARiFjYNwsowxm5N+pFb4lo7dAdSjd5ZdANtp4fekpEQZX6 Vnf2KQNtet6IdyIRPbdvpiJaKQPbRdepplgi+rVq9Zz9sDLwbs+qUI8mohBd N94rjspQTIoL3B1CROerEz6FnlSGWMVgDTUvIqp1YL9ZcVoZljQ/jnC5ERHF +p09C2eV4dzYQQ0mFyKK1i994h2pDMnrrYxCdkQUVzNwzi5ZGZJYLnX9NiOi FqdjsunpymCl8/KajQkRMW5+G+nKUAboCVKtNSSiK2hj1+67yvD706b1Kx0i Sn4jtlXjmTJUVwnq7pUnoqz6gLtsH5RBRDVjpJKdiIaO/z64n6AMfhpTnsM7 iIh/yyXaxGFluFi+1k+/jYiyjTJ8qCaU4ZaF0+soBiLKa6hRn/+pDF+ifunM bRDQJzezL3KrysDOVxrqukZAEjQ9WV4bypAeT3+MvEJAhSYTm2O0KuD+fOra yiIBFTcxtXVyqQCLanjizSkCmvG4Hs7IrwKdEMlx+CsBKdDtVDQVUgE04aXA 95mASnerpL+WUgGJkcG4Nx8JqKLFzqlYWwUMS/jdfQcJqLatYCH+qApok0Lz FN4R0DPu7oAIZxWYqqWcimkloHyP1e/+rioQ8KhqG7mZgBKo9s/Z+qhA9hJf 7sMGAjqkszwlHqYCOzu07l6oIaBvReYTdVkq8H3J0VmyjICGl4LcnmerQEsB tU1PKQF1meSMF95Tgcivb9ejSgionPyDfO2hClDG5fHPPSagSJ47o46VWN4H ZwY2CgmIPX5uYIWoAvKrpaOTOQREO8BjOzOiAj+zElL7sgloRcy4n0RWAfP0 nXQtdwho9E3Gh+avKnDJ/ej6i1sEVLRs+P76igr4z1x7WX+TgAy80tuUeVQh Ze7zy3PJBKRcUbNHXEAVOm5I5d+5RkBi1F9buIVV4UbpkeTGJAJiyNVv3pRS BbmI5l2CVwnow8Dk2w4tVXjqsj4zH09A3ru1X3vbqYJ4sVMfTwwBzUrxNJY6 qIJR0s+MoxcJ6DTjSvuKiyo8irdRzI0moPCOl8Px3qogJutdpBxFQMkHtdaK QlWh7rXJk6DzBMShzk29cF4Vfnc3f3wXQUBZnMtMOhdVIfGAS4Y45jziC762 RFUYlZlyJoVh/XTW1P12WxX8JZhdTocQkK4hl5HKXVXooX+fMXyOgN6ILJmH FqiCysQmwx7MrRMV9oxPVMFRij5IKhjrj49GqEytKvb+dCua4gwBUZ1Tf3WC rAqtHBMNLAEEFHeEo+7ZhCp4u+3uyfAnIGbdny2rX1VhaqM1Wwwzx0Y5IWFB FdKno44aniIgqRi15Ydb1OCaU8zTJD8CeuzOTvGDTg2qvm/bIoFZZfcinS6z GhTmBozX+BKQHmM51zt2NQjsPa/604eA9ierak6Jq4F9poZv4Ams3gFsSFVG DfKczlzixGx38IdpmIIaxO733qz0JqDjnGU2TJpqYDX2mIYe89nbKmdlzdQg iu5DWaknAd0uVH7uc0IN0lZ8DiB3AmohurbknFSDjvD1c0tuBLTIeGOo9zRm 9dGHJZj3+q1S6oWpwdIDDSEJzKvKby2Zr6iBY0jeNL8rAR2pOvSl+LEanL4/ TdA4RkAx07G/SaVq8Py71Pq6CwGVCLxi4ahQg1+6skuNmOkvCKhH1KiBeeRe JzvML40noyy61ODq/twrsc4ExNkZzDf7XQ0+Ntit0zgR0K7NIgWRn2oQUf2T kuhIQCeVhg1tVtTA2JDwuBhzUyp41VCqwzbG4vnDmM/YMjxPYlWHArUPE08d sHqRsiwV1dThFSXfvcijBETB2nHMVUsdRA/tZ3LALGe0GXRTTx0kKqqWtDBf LHC9tWmsDmse3YcX7bH+nJD70nVYHbRmTRf9Maf8eB3lH6wOq7avxC8cwfL0 JB9zCFOHdFO9IXfM+0pdDc0i1aE1+tLUXsy0pxgoheLU4bWzAA8P5vBvhy50 3VCHdY8fMS/sCMiDPHVeoUIdSlU97m7BbPymxom3Uh0WIlkuzNoSkHBOigFt jTqwWhYVEjEPO2hujDSqA/f2bz0lmK0J0RFX+9TB5grlieOY9bp4wqcX1eGY l17vexsC4nkyfZSwrA5TNc19bzD/ulKr27Cmjp0PdrYSzKXm7r9vUWuA2nK+ 7jXMEk0loXvZNYCj2kXBCvOO17tDHqpqQFaUztzQYew83+I9ckNTAyqfBZt2 Ym4PndGK1tWAG8PbO95gjtVKWz5ipAHa6WXu9zGvlY0GMxzUgNyjNmWBmCcf njnrdVoDTN7d0+XEbCOwMVp4VgPMnMmHGDE3Xovd/TVUA2rTZG5tHMLut0E3 uU9c1IBhX87HnzEfN3hV6ZOuAS9V1rqrMI++X9s4WaEBW3KOhvlgtjS+5Pm0 UgPKQuy5jmN+XbG1e64GG3/jfr8d5tu3BO/6N2tA5vSnalPM9u5gdJqA5T9L wSOGuW/5YtyZVQ2Qcs1/9Okg1g8f5u/PNzQgaiXNcARz+Ui63S8qTUiPDPjR hzm1vkA6mEkTlsSYi5oxW11pfneOXxNshMutijG372TaHm6gCe7uxRCKWS81 7Vz1Lk1QlDnvGYT5ETU/ec1UEy5H+eafxJzwVe5ZxH5N0K7mcHbFbFZmeSjS RRP6FAfbLTA3mKZmREdrwg6/7D0SmCc8qjpCYzWh6bj+ijBm2rhPVIEJmrCb b/6FAD6/WcPPNVUTlAPzjnHgeXYPGRrf04SU0L3HaDD3molN0dRrQkn11a+f D2Dn38tCaKNRE76wvA38dAB/3pw9/KtVE77uY2UkY7ZpbamdfK8Jm0/j7Acx D+7xS28ma0KqGWVsB+aP5hX68ZRaYBF65dNzzFt8xk5H0WjBATlNwTLMYon0 hSEMWrD+89mxEswe7+xZT+zQgllfVZpHmL/t3Zw0F9YCOZqM6lzMC/vMkpkN tcCtTarrKmY2v4BGahMteBDGfyMRs9rVrNU1My34MlftFo/5bMe024yVFgRv DeO+hHnVIkW70wXb39ifEI6Zcv/gx2sXtKBrdvi+H+aWmsOiQTFa8JDA/dkH c7LCe1e7y1og/fuI/AnMQiwtn4SStYD1Y+I7D8zQ8XyyNAfLW567zwXzhb0p 33prtMAr5pXVIcxmVcyyL+u14OKDqs8HMG+Xvexzu0kLptkTL1pjzmWMnHbr 1ILizpRWS8xvWn1nf45ogX/60NU9mCnMzBa41rVg5djnCYTne/FWZY1CG1TM 1N8a4PkkUSCJWhv0zP3y9fF8dBqLhcza0Hz31mldPF+T6C9tfm1QaNbS18Tz GW+uHNXF5sdkRiji+cpDdQBpQ4hAWLoCnk/sV6iYkTawPQp8Io/n2zLze9pc G6wETkzJ4vnqB9cj7LH1LlTFSeH5DCsoc0O0oaCFz1QEs73x5zZChDYQ/KhD hTGX7+ZO3xGtDUVvJ0qEMHtZhkpcTNCGLkZnyZ2Y3x812OtxCxvf9ladH/O9 s03pcq+1Yf67djcn5rWQJUf3Om2QUmxRwG0TISWZ3agNLD9KrnFgZoxJeLWt Uxs+e/vYsWMOTLEcXRjVhrzTQdSsmI2L+yVfUejAVLfGm62Ys5/Szc9T6wBv 7gXAvfxMq1KGQQe27n9Qz4y5+FXWvts7dKBcwq+dCTNHs1NApIgOdP46ssiA eZI8WWlirAOE80kptHh9J7hizpvpgN8OEzncWV/MLF7s04EFQ40WGsyWcw/H pA7rwEfOzS24X6ydpGb20IGOpsIrWzBf5lqy6InTAdMw61EKzOktLeP1iTpQ kK+RhjsnJCuk7JoOZB7cswd3xZB+QfpNHTBXFnu1aY2d95yYNZsHOhD+3LZg A/MuKdZHQ006sEGpVLSG2ZI4Du1tOiC3P9oP95GE5/3VnTpQv5Svgtt/2o4q ux/bX2F/7W/MOSU5R1wmdSDpF5m8inlNS55+gkYXEIFi3wpm+m8bd/oYdKFQ toIfN9utbtWmrbqw+6LA7DJmmfVA5wccuiCkMZWK+0hdZYW3uC6snSCPL2Gu 2GPmPmusCw3XDLN/Ya5f5fk9aqYLIrG1wbg7Hk0ld+3Thfu3SNa4P229Vl1y SBdy9i/T4Wbr6WMLdNOFR0w/Qn/i+e1d65cuYvNta4MXMbPkfCPpXdYFwZEk G9zF4wGbUVd0gcvmjTruz74X9Jiv6wLTR8WfPzA7Rd6pELqvC2ME2RDc+/IH Hu5p0QWB6JcZC5i/fXFqTWrXhatpSedxX5af/NzbrQsjY3VuuN9WLIo5EXVB YkBBBbdO646c09904SFVUfc8ZqnZvWm3mPUgls1NAHeTSm8pabsexAhfp8ft FmzfLc6hBxR63Ivf8fpTeG8tEdCDGleGdtycbLFxDQp6IM+3JxJ3ue3W+wyq esAkU+2L+8Dt9AZLTT34MXbCHvdV8TxKItIDURZ/DdzUWm/CZqz04Drf0fk5 zPfCd2epHMb3ayHhhrrOl8FH9GD3QEg37jDzkZ+Ux/VAcOVeCe4Fh9VTnIF6 MGRMCMRNjlJzQ9f1oLpXmhq3BCdLkn+mHiRa6yzNYj7x8POLu3f0IEo49Bvu xZ4sJur7erCx5+Z73PRilGUtFXqwQBa9h1uhqYPyAEEPxA967sUdaP9A9uKw HhTX6Bjifjl74XA5SQ8GPilq4jbkUivi/KoHbw1DRXEf8sqyGlrRA9noO+sz mEMZPXPc+PTh/LO1l7hrs6H1+k59WP5NVYqbWpX3R5OoPnwIkirCffVoh6m0 nD7IqHdk4s4tVp2d0dOHe2Wu4bibLSn0g530wap+wQQ38zjRo/C4PuxMDkO4 rYLLkoke+kBM49TGPZjj8Un3lD5Y2N+Twz37vT2R4oI+uPfSceBmT8scjL+r D68e232bxszYx/b+dIE+3J0qn8BNwZXUfLRIH+omhci4Z7Kiy+VL9UEhSpyA u+meT9L7N/rgbdDVhPvcM/1dPCR9CGATuo/75OILLapP+lD9C+7hdtNQUZz6 rA9S2wKzcVtXSvC/ntMHj1/0N3HL1G/75bKpD7lo9jLukffkokJBA0BNqqdw f2BzyE0RMQDlJwq+uNsO998IlTAAe0lVb9wVxLaL+xQM4MAnG1fcyeQyx+/6 BkAts2aLO1ZU4RDR0ADa9TQO4w53LzSvNzGAPpazB3B7f72tmW5hAE/oaCxw 75q/tEPLEfv/8IVduBXOhG4wuBvAsbEofdx8KyenhnwNgJHyiRbuRQq7xshw A8hoDlPEfX+7TEjzLQNoiygQxP2iKj54V74BVBU78+Ju8fh65nWxAUglqHLi /lZdeLrstQG4a/Kx4P7tSR+g0GQAxaFSjLiZ2bxOFXUagMn3/bS45b0lfXPG DEBiZfvmFGYD9rgTvF8MYDT+/m/clrWTXte/G8CRNodl3P4c990TKRHYWIsu 4C6vE3MOFkVwXoM0ibvRN8ZxQRaBH7XRJ9z9XJ+O+qkhuH6qgox7yS/PztUE gTl78zBu7objh4/YIGBjpSLg1uEVObDfE4Far20vbgd/sqXJOQRp5+c7cZ9v yt2rG4/gAvfXNtx1p3eaSD5CoM5W/xZ3YeSxoLVKBHJZb97gTr6Sl/e+DcvT 9/k1bpf7klTh3xA4HIl/+Wd/0mElNhqAYl6HMtyb0zedv7AD3LGufIJ7coWY 9FoMIL+h8SHuTlr+mlQ1AKPlvQ9wV7A5zXgaAyz78+bjzhbK5dc/BLBhSnEX 9/0XFX27AwFK/T/ewv3EsiPpQCrAPtLkzT/zJ8Z3O5YCxG33SMf9OnyVwqsb 4J3wQAruufELG41shjDDzpuEW3gv3ZqorSH4upok4j5xNePtxnVDYPwxGv+n H13SicQPhnCOI/QybqG97KNr3LtAMro4DveVpg0lIcddEJhEjMW9XWDR4s3t XbBdx/2P0wK/nnAZ3gVxs7OXcF9u2KJfx2sEdQH5fxzOIbhN5IgRrD8+98ep OSm+724bgXG88x8XSdO0BZGMIMzB6o9pFyl56pyMgbFM/o9tUonvFPOMIT2D 748fKJWez/5sDObULH/s1fp4skPGBJ4T6f5Y+vhDy3U/E1CJZPpjqv7SC0XF JqAdu/2Ph/a8enZ4ygQsXv51/y8ef3NFU7h+6O96PXmh8ijQFJjNmf94Qnay vOSZKXgHb/3j5TJrPZEFU5D/yfr3+jQ+njuktBvGDLn+ePPl6eexJ3cD0wjP HxcEOURQPtsNmZp/8+9VMjUJ/7kbjkT/NUOzzkCgmhl4wF83Oyp6+wSaQelH 3r/XKx8R++iFGRB6/jpuvS1v6rcZmGT+Hc87cKfj57oZ9OX99ZMS/6XNTTN4 /uSv/w8Hl9MF "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"S (scaled), e[t], R[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 50}, {0, 1.1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.417780757030686*^9, {3.417780802382751*^9, 3.417780828080279*^9}, 3.417780903346041*^9, 3.417781047511559*^9, {3.41778193175892*^9, 3.417781953840568*^9}, 3.417783505794044*^9, {3.417784096951275*^9, 3.417784122849323*^9}, 3.417842383378326*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXH1wU9eVv5GebGEMKN8KEGTnw8ExoTilblyyqHgWGCihxTuEjUPQECal BEga3Czt2lhbYFkPddIZ8HSZSFgdXBoSbJJN7EzIWNYfDKZMYqcZsDIMy1Nm CILBBMVyUj3Jtt6ec+578tOXpcdOd7szS0bW1b339zv3nnvuuefe+16e2viL n72wfeMvtmzaWLJ8x8af/2zLpvqSZS/vgCzjbYwZpjF22zwLg7TECr9gNpn+ zZBlxnIm6+CP0Lm2IdQQ6lz7Y/zhjTDmjXSuNTSEmLFzLdZkK+Bjan2vZm7d UO3+zrVMW7YSy7p/13rAfW7r9pSyHyGheJGxq7PTCA2t7zFjy5qjd6VgpiSa Zb0cei70XKnwE/hhxFZbLzND6DlmLBUSkgX3yNXZWKItWIUA/xvmJSkA7EYB Ngf/lS9NBlEfxVFZjvRadqcAJ9rElcdYok3AZFDTSo+NexccXZghX6h927wE S7QFpL4+Kx+WFBA1yf/R1dndH5g3ppTlryZqUqQ3TRskOdIbaRMvWk9lLht4 JgPfCj7gdUPmJS2vZFVUkk1h+2U5g00NPLPX4j63qTiTTYmjDZ+6R+o+zmJT JRkJ+55YuaVuyD2SyahyTgbUYKHa8Nr9KCCJBT7vqfUSajdof0CNrkQN1VYM KT/gbztjMyZn0o71NE16uiZtwvQmm9kpXgK7voT54iX4nqZJT88jbcJ0qGmC M4Os6Xm0579T/6/NOS2hbnWADak/8lK3O8Bs3W3/r+581L1ek1GGadHHbA1x 9ohGGY9olPGIpv5PNOk1WfIzC4l4rHKN/a8upC5gdrLlOJzBxmBDsOFm3c37 mBBsYMab9/1lXCZv8d1MWCHiae1lts7FCwA89cqFG4Ph4+HjI/PDn4RfDJul I1J7dCkzSF8yQdooMWmJ9LxFYswYXToaGr8LaSqzsPrbmK06UIFNurIz3CGd kr6USoCFsduB5UhUiO7Dv+GV4d+EP4ntj/403DEyf2j10Dsgt5wJQ+8wY/iT 4WvwbYCPMPLS8LXRx6JXDUAgSLtHi8fXyrtA3GNZxIuXLB6zYy6q+quTQ6sl WBkAWSiVAOXqG7VX1t34y82ZbDb6KhqK2aPzYvul3UQffWF03vhd8YuQXZ6J 3oT0e+LM5hVZGTKMFINq2PCfbtQGf/CgZnSN2Jb4E2MLYis4daG0O3o1tiJ2 Y/xzoA8g5QNZJfTNYbb6XvYQjap7+IzEosJXVSTRGGmjuoVYN/7R2HujT0XP KOqdIp2KnolehRF6feyV8YXja+NWZoj/ChpijY+BzgIAvFMRCjIVAyLLNJQ7 UZoxXC6xG7cz0l7EQ5KK4TMl/kbcOjYyZhktjs2FAQVzYMU0Hj8k0zhligrM CHZyKrqPmeBjlHbDGO9jBvgI0PG50mXpsik2F+znj6CJM4zSkFqK35R/FX7t 4/lgILuj15gQm2tQUX2EEhKlyQw8fSoqJNI8fwbVF6RT8P0jTfrJ2NwZmbRf wNXRAPOib84DqIShdyU29C4r1yjkbviY5V3xi/FfjUfGXx2/a7R4NGQcW8NM oJ+non+En08xYXQeM44Wo7GzgtjboJSHoi/E3ob/9jODpl//B7RB1thG2sCh h2+tNuDz+CRg8VJ1wCqXIkD0SiWxj9mjeYALVXBLE3ooVoKYK1Vgm1368P42 s6PWw/FDf5YY+MV88IlpgXXBwzr80A6aH59Iu+FbNwcs1bYGkXMMX4v+VCeH ET/VPmtA9LI5mI4+HC6/FQ43+K6WDZxDWjIyTSeHgHXLHaXYD/SgxuAimB7D rEIvRyvoo7WJc1w5ROOahSPhqNomgpZyh1UGTcwi9D0Su1KVXwtCTRMcR8Gq awOc48ZB4Ligi4MCL4sH/QSbSRy3g3Ut0s/R6WT2lU7OMfRbmF5eXRyFWLce tPmHOLsP0yPTpCXwrZdDEL2lNmvA32QlM39R+lIniZnMvInZa52MOIbPDO/T yTGFOgNTDczjXjLzpeEpOjmKsG6lx+yEJfoeMvMvw/tvgUPom2PxlNr9bXcT ye7wDZ0kU1Urq7ExzsGGVuvkKMa6e4GjLsDupDnspuVo3uRzRUHThmDrYool 7lBnK6zuWdAZW0AbBrBPHJLbKaYCLzz0Z4WjLW8OsC8YFEfnBgsZ+jCQfMZJ lIgpF8kMJBnYUArbzO62GTTjumDWHsqPRPE9Fj6w1oDF441T127UwrSdqYsE 1SB44xaI7wc2TFO7AyuLHhIcD6ETpovZM7ChODH5L+kiIZPY6oBwW+amMjRf KtHJcRfNOdgQwbybqlni9HCQecMyi06oSPEfl7Nw4J6mSHu4oZ7nGSYhF/xt 5Q6Lp28OeYhweXTpJOyJswsMwo38YI5lYycX4RXNzkoPdz/gtt6cjFw9QBHw B56w4U8TYw9pSO9VlzhwzOQXoz8dvpZPi5HUhGdkXAabqyG1KjPR7u3lXh+3 UJORJh0wqCdc2fRA7AMbLB7QQ6HG4+kxA1p/ILrACKNA8Xgv6eSgdbDSCStR L48Ugo3kbx7Ty3F0Me3xOcdM8HuPc448oxSKC6oDFh/sZilyunISOA7q56B2 iArHOol9+a0uDoqQKn0Wn6hEkl9+C15vnX6Oepiem2ycgzznh7o47odPodlT HcBfitPMgk/ZWhISF/U+iDqHvgZko27JBXwPAnhwkvN1gDHQNVX6MGAdeQw2 rbqxaM6dG8AnHtGPhU2DfZM9/CLsjfVgMbgWquVSW3hKdKluIEYLn20dflM3 EFXc/FnYrAdI+6pS+w//MbxSVxcJt9XObNdb9OMwpnr7Dv040Wues+Xfs+FS rJYj3E9YF/ynbklCcNEvLczmb9Nj5gS8cuHdKcx2dI5+4M6vb8MZoh8I26e5 8SWybiD6kLrnzE69QBM6j4M9zAbLWF6BqBaLgdbpRlhgFt8CluIri6fWp2tB Iiz6DvFSja3UphtbgL5DvIRbtIGmirzAPg14ZRRWsE5YQ9zxLOCE4Wpgw9ei +/Dwg9m2btAtkwcr4qVyJz/F1QcWwi/iLzyW1gsuhJjjEzr1Aafb3ctPJnTh S4bmqydWz8u68DbuISDWeIev1cxmlUXlqEsPR/BZOhEhjhrYUadwVMh4OuUL OUMOv8fvE2W/D+IuJzN2Oro9Aw5m8gYgdPS0BuBbwHSnvcUB35hvcvtafV4o 6fYxQ6cDL4HqPW6IGDG9R26Q4VubFjDd6qn3HLXz9B55r02t0xCgtJE+9npP i5MVUn1nvafTzuYl0g62mtdvscP3PZ2OjGeFSTq4EoVY6R+4DvC0HMZDqwOM x6dHPH5PN7S+Tq4ObLKtdFbLlR5LAPZDEOFKzJaHEH5sRELweK2lKUnIvTLe 3QbcvnJnpc8aYAXMxsxWEFJjr/XVOModW50NsrEFtLFHrgu0ONwB0KRR09O8 RgJGzICj12c7au+zMRONpLPbCd/atIBpr3zUDvWFyeoctQOnkxUk6jvZPE16 tVLfA9/3DDjzUFIVnY5RFGx21qE1ztUoCW8DhAjYR51sDYDJs8JSW5281w6d sYtyxIest8vKhsI0sWvj2yn+REWGrZWmAcomXeDTgQ4OtQ1A8ineAPhV+M/i qwu0+vweLteqyi2YuNUWL4IgJpQvJbCyPdJKg7XlSoxLq8dD/MXKVQY/qEB9 FXSDRTCb2VHp6bND5v2qmKR7ciN/FALvcRJ7O40cCmMbuBxYx3A90l6Z4F1d gd9XAwFOqd0t08WLLSEn6WqdP9xA90VZdTj0Mp0M0LGlxbfSISo3iZoLGhPs vu0WT6uHXy2VJoSpY2ZUBqxEzrQX1ggbmSZtVIXV+izOFGFFKCziwxOhcnvI gSQP5rTC8G+kUyqnuxcDnCROfCpCCMFqAzslVNXDuQn5CQAR4hF/nZxEaOZm TQdOTsgoy0mo7Ppp11pjJ69dpiHE2zZBDtTYYPeNLXwkJ6FyckmEtJw1pREa t4ISj9qQYG5OPuUUk/j4viKJrwDrg5u3wTZPznJ5mcz3PG3vCzXL1MMaPnoe QJTN4JaR4NHcfPxwk/ha+XF0Gl+pw+y4asvJR5cTQTdt+818WbaA107iw4MS dN54MAq/K+SMsRBn4pt/OtwBrdkGFtPFqspEN7UR2CGWO2ieVuRsmrLwEOHp OB3ypBIaYTW1eUl187LxeRN8eINxDz84q5Zhp+9lD2r4uJuAJayGVJfx2juJ T3G5xId7JdgRpvG14s1FvnyP080GHQ7iSQSElQ+k8pXaqjGdF59yy0F8rTDn YWiRr5DzyXIn6K6TPMv8nFzKbQcdfloh5BzYwEq1XDX2Uht3ibm5wEtdVrm8 IrODS0WuAs4lyqBJcOLyd3ITmemCjx+/w9w/yi8wFaK9sNJdtedFFN1Hx4ZI JPjbrDIeOONsM3GmUlQdfC/ITcSPCunEGw+d0dWqPAMJL5SbRzkUnKF6NZhP c1Qe2FfZQ04tj2Y2TjBwP0G3AOC1YX9CBzwCMjBwvHKW50pUkvtpSjeQc6A7 DXAAGOvP5iQQTfNRyk1CQWotnaELmyj6GLDNJJY2nL1X82TZCSyDdIourAR/ ZA24RToHDTXV2Co9k24REyR0preTTrpNnU2ldrwz6lauwK7OYfaGyfceCR4K f6KEMzX0QiQNPC12fjwPQ2zrs+fHE/4KZvyzdCZs9jfVN5k9GDBtsrlFfxtd AuHDfnxa5SYb/jeKXmZyI35ergY7MUC4Zyp3VMu1ns7F4JBpzpU7VjrkPHsK m+pfK2mTv+0P8a1NsFDZcdfGpjOY85W+Sme5fau9vm1PvGWDW2zw4WKxF6dd xoehkslX4KabnJK52+eO74lvssMGJWCBGMsMEmC/JiveLreBKJEF7oUL/U19 c7y93RuwNXzKLcyJV276K8Vcm/8EQjqCu+hsiOySlKmpB8efAeA73sf14q5c gKlTfwu4KlovdeNutNKpt24c3e49y3E5D5y0uJfI8HXjlAs4/bjy6MNZcGmX bu6RvZaWV9wjmbYCCcLhfcNnJiFMfmDYciTSKwcsuydlhCj2xckYtVsw+NH3 hPdz80ZD0h5sgos/vpJf68qXbt1uXtJ6IFvrZiUM+Wv23WyMSRdq3kjDp52v dn8wKaOyOmRizDaU/IGULloQ9OP4Qyi6cUOr6d44X1zickvZ2OmWN/wnPJ/U j4M4pvxWcNLG8Fc6cXSJGOSPWyzMjEtxvjM1Ti0LIrskZROgG6cs+bpxShCu G8dPs/XjlIfedOOU5U83TvEOenD3aRaz7xEux+MtWhzN9PMcl+fiQjh69OxD /bihd2Cmu7PhVMuUAxMIZeTykqTFDZ+huaobJ7XTiYUeHD2EQMH9u6xKLw4v 18HX6sYpM0g3TvGZunGwTD90KzjwfVNuBScxeg5PD442Hl+dlNjIb9n388G9 eX7nj3e+zO6Fj/FokcReL2ZVmF5+bPM2jlOjbtUy7WcKvyj8gt0LH+OeL6SS Gb9n38d04e8j8UnnQDw0Hhpn98LHGNsSXQrfVaFxw9UxOUMw/UNMS5djQ5xx W2q5nfq8S2Jjr2DG9ozl4xGJjUeyl4+tkZi8K3t5bEi6zOVnLo++ENuSpXwx ta9XKhkNYcZLGcvHP4f2fZ4oT3t5bOt2ZnCfY0L964ThShlbAI1uSwIlB0zm Jf43/G9Q8JUsDpXOmzuBTArbQBb8c5/jYduTNAS7R+elYlKCR5RmOaKV9neY jn8EnaO3TV5OIJPCsPrX3efc5+pfT0OOnZNY/GICuT61PLZfHZbM5fimSZZy 6lP8DbVlP89YThp+Mnt5zBx9gfOnlS9SzFIZ9lcylo8vhP49k7089rZ0ivOr 5VD8Az7JpY2j87BkRyqSysfeg579Lnt59O9Vg08rr1YMdnfsbcyoz1g+vlad UJnLYyvUkUkrf4L4Z0uMa+YXGctHQ9C+2dnLo0JsBedPK/8+te930L61mPFq xvLomajADz/SyqvIMp4Ah3IAM/5pQvNVis0dkXu1JQnk9wh5Ue3Zzozlo8XS Evm5jOULCT8KNvM6ZvwyY3nsY8A/mbH8u+psG/0UM36VsTy6Tx35tPLHSXOv Qs/fw4x/Ti2v5JZB78PA74aM5TDyLG7NWL5A1Y90GTMaM5bjWzPxUW05FH+H bPoAtGwES3alIucrzEtiWzCjKbUcD7RhvPGlNfnJbBWMo9vBaD7ADGdq+TxV NXxo/iW1HG8cBGjAxugZuoFIq/AotaAtuhRaMBsyfp1aoZw3MWaWSuJWyNid qQKOPhtfiBl7UsvpInX0BOhoAWbsxXJ8EbGAv4XP30HGV5AF5RVkzjj6GnTq KUT8K+bVwh8TZ0x7Wxt38MorRyy2H+vsS4OwlHeU59LbUIXRa3y2pgMUGYIi A3P/Q226kb/szbK+Xgufd1L18Deax7P+t1vxP9xTPsT5/e8jciZno7jgSfFp WXGlwUPiTlm5R+zaHvxQVp4OiOxylbnKOiq6tkXW4zWyMTSza1vHVGZwlRk1 de/MURfkPo9yZ2G2/26vRVYWj9Nr+t/Hb/yIVa6ywW9JrpFz8XeXlbS2zp1Z 6qhyZlLdne3HYHmhRbT9uv9u1fplEesGD02fRFCi0h05JE2FP+bQotOW9rPt b7Ufa3/rtCWynq6fI73tzf07iK1g8HxHERQ3H78+eJ4ybsa6XnNtdpUdh3Zh o4pCizoqXMuOXxfX9e9wLWtv7nqto8IIcoo6KiKNOG7BC13bXMtdyzpWBU8i hUlcd/y6a1nXquAFhhULu7bzAR4879ocaeRdDV7AxnZtwwYVaBkMmq7gZbQp eLL9LBRV+O/mitbqQmURuKV0TIUCA7ata1UINC2uA2hZ+7EIrCWRXVAwGaFW b8b2Y67l4jre1P73gaM5sp6uxvsPgu5Pcumusp4QEDeixGK0ltAs6EWZa/np HaDWqYPnZbmjAgoNPSHUg7F/R2R9+1nVQotuxlzLoPbm/h39B9uPBWOgyZNI ZUTN9R+gjoB50MwjrYQWucpOr+GN6hmgnq8yZWZK9LYANYAwsUoWDan607LA uoQ/2s9iLVPkMHVlc2QXSx2RrJRJGnSViVXJdu21kAZxkCKHufz2ZlmU5Zsx 6moHrK89J6jbU3H+wz+x54QsY99gvsgQymGZ0H4Wi45fV/QodJ1AdnEniQrN 6hmQ5a7XiDG0KIEyHtcoEnuKA4EAmLeb26/fjJmyUKma5KNxjEjS7FAlKeD1 BC5MfBp/mHo+5eaPqpyUStVfEeUd7ihSyoXIevJfRQrWTNEHzrxDkV4wyM0k pmsVqKoZzY8/ZNK1Cs0WO6lpUkJrxnZNVZzvUNWoNE1RlVEtAldVlAqZsIc0 yIRP0gg+XUmNxDmRrosM6CRdyIHIemXswDCxY2i0fE2Qe6k+9wAXsIl8vF3L yf9zXZPFMP7SzuHTle3NPSci61kGvaRU5/Z2nbc5rakoDGiK0mD61dO1itRz M6ZTPdzxH+4/4GomX2vkClaH0qRayvHrilaW9XwaWsRnAfg4nAU4nFAPRAeC h5T5l9laytDlMRNaLmGPZbUYmN9FKTAy+Jz9mqYpCn7IFHc4MXNz61XVDJ4J GAe/QS/GNYOTWR0e9GCKDyrgLhuXi44ilFHcE4KMZeiYxJ3g4gdQD+jNss2k nhMJb2Li6w2Yu4W3PXKYtz1NSWWuZpk/pJcRn4+iCkg52+TelKI8lEMeevBb yuO+dypFWTS1T69xld2MceVQ25rlAGoCGzgdVjAY08Fv0GQxSEh890bWk3a6 TiRpZwZfE0OLYEEBP96/A/uG1nO6Eh1/um9GX9cTohYWZcLmZT+FWBQ5jCN5 /DpM0VtQj4mvcu1nYbWfQnUaXcv73+dqkXshrGrmQRVmWCKNPSH8CZ4lhL5K Fvvf76gAis3kaxqpa2hGiquiMAsYmtuv979PQVNkF1C+Bf+dTdeJv8q1LDSL TDoJmLqeG2VxwgGC4IGUaaPVDrYRtdu1PW05y0WjVZNAkcfyyC4C4pIlKw8R Dp5Hh8ju1/T8jmTVE2dHBY4ruyt5hLgVgtcyZW++TCO0LHVwM0KTDB8jEFAz 4UIzcQ/AH/OEkP+gzJ96T2lxgSpy8Nue0D2p8uRAx9QcTZ1YYXNCtU01Bz9E /QYPoTVjs8kS/XfT9mhWejtNXF7wEBgqPlev7Hy6VnVtjzRy4Y3Bk6rqQ7O6 tndU4DAXk2PsnYj/BIjVy3DKGXWwaF1v4c1Yzwmw0rOwYVg1+A3dCWC4vhmZ 8GFyCqtxnGgXJD6dsDgT7lZcyzuKBs8nDrCqCXCw5wToYDNHH+gZ6JiKIaPc I+ezsWS3/Rc8PEQn\ \>"]] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Positive Feedback: Mutual Inhibition", "Section", CellChangeTimes->{{3.417779208121088*^9, 3.417779216652345*^9}}], Cell["\<\ Here, we look at positive-feedback due to the mutual inhibition of 2 species:\ \ \>", "Text", CellChangeTimes->{{3.417837088806174*^9, 3.417837102549266*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, {3.417731462091422*^9, 3.417731462178471*^9}, { 3.417731504226867*^9, 3.417731504315766*^9}, {3.417761590500195*^9, 3.417761590590663*^9}, {3.417781081732826*^9, 3.41778108180133*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnG1y4kAMRLFvslfaI+QCe8xcIAdaUoSqAJJH6tHYzbhfwg8RS/IDzweU K38+/v39WC+Xy9f18Xl9rEKI+Vnelyk19n33y5AGE9JgQhpMSIMJaTAhDSak wYQ0mJAGE0dpFHc6TqO015EadjPrq45AOT/aaNDt658rVDqn0Tiw8U3S8p12 /3Vf9MM1Cr4oY9Botfr9Q/xu5PpyjI3OGbM1U6XL+dFGg+VnmFpHBft6x91m wlCRpyQnMo5dHg40r+yoRv4v4XLJsWHMMn2XWvscQkl9Gv6wxc8ISurScKfQ njOCkjIay+M4ANe+V2/o1YD3VE+dOiwqtqN1O9xJNKqGONjaj5BqU2jEl79i yj/9TaJhNhlS9aGDNOI9hntII94i6QFoSyPcIeshDSsqAdgASsOKKkC249Qa 8dKEGreq2U+k0niNqphjMyKNRAs/qusxhcYOSGMYpBNuFmlYURUnXcWlYUVV SCOe4kdVSCOe4kdVTLI1lEa8hR+9EdIYBulMlUUaVnQUpBonXcWlYUVVSCOe 4kdVYBqpHDoN7KY3aSR6ZMoiFtIYBmAhjXFMpJFO8aPDINT4KZlcO8AucH4z 9/Z0djXra96nYWbfNfDCkfxaDSP/ts3rvVhbo75a46XA9zP9Q641Bzc0FgCz QoXGRpUBGkbJpyexqlsiIzSsBlUam/NhpYbdoEzDtNhppirT8JuXargNOgd5 wwLTcNY5M/k+xEOFNzpulyjU2DiBinUjcUaxfhXnlaTV7000WgAaNZdJLdJg Iq/RWokOAdeg8khrtDcGR3BWjbVga1GPNJiQBhOU3+HmkQYT0mDixBqTTLjS GIU0mJAGE9Jg4sSrOCHSYEIaTJx4wpXGKKTBhDSYkAYTJ9YgRBpMSIMJaTAh DSawVXyH/4yeA7otjG87AtxPFT1yT9CxIY0RYBps9+ihnzfILLCZisxhhWYq Pgl8wiUDXjfGnA7KWVfxlXJ4nHiHS4g0mJAGE9JgQhpMSIMJaTAhDSakwYQ0 mJAGE9Jg4lnjbZlQQwgxKf8B+5RAwA== "], {{0, 0}, {199, 212}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 199}, {0, 212}}]], "Output", CellChangeTimes->{3.417781082213329*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"MutInhReact", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "R"}], ",", RowBox[{ RowBox[{"k", "[", "0", "]"}], "+", " ", RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", "S"}]}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "+", RowBox[{ RowBox[{"kp", "[", "2", "]"}], "*", RowBox[{"e", "[", "t", "]"}]}]}]}], "}"}], ",", "\[IndentingNewLine]", "\t ", RowBox[{"{", RowBox[{ RowBox[{"e", "\[DoubleLongRightArrow]", "eP"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"J", "[", "3", "]"}], ",", RowBox[{ RowBox[{"k", "[", "4", "]"}], "*", RowBox[{"R", "[", "t", "]"}]}]}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"eP", "\[DoubleLongRightArrow]", "e"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"J", "[", "4", "]"}], ",", RowBox[{"k", "[", "3", "]"}]}], "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ODESys", "=", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"MutInhReact", "//", "interpret"}], "//", "First"}], " ", ")"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"eP", "[", "t", "]"}], "\[Rule]", " ", RowBox[{"eT", "-", RowBox[{"e", "[", "t", "]"}]}]}], "}"}]}]}], ";", " ", RowBox[{ RowBox[{"ODESys", "//", "ColumnForm"}], "//", "TraditionalForm"}]}]}], "Input", CellChangeTimes->{{3.417707878456383*^9, 3.417707881561127*^9}, { 3.417707947248625*^9, 3.417708043754384*^9}, {3.417708076035349*^9, 3.417708077588026*^9}, 3.417730813770281*^9, {3.417731661942531*^9, 3.417731669115235*^9}, {3.417731702811681*^9, 3.417731816324857*^9}, { 3.41776203408499*^9, 3.41776203629243*^9}, {3.417762070636538*^9, 3.417762079567813*^9}, {3.417762133507612*^9, 3.417762139267024*^9}, { 3.41776224055542*^9, 3.417762323642906*^9}, {3.417762407363379*^9, 3.417762414785096*^9}, {3.417762576822515*^9, 3.41776258463234*^9}, { 3.41776264157549*^9, 3.417762643329834*^9}, {3.417762701044019*^9, 3.417762718247538*^9}, {3.417762774878155*^9, 3.417762775921088*^9}, { 3.417762808804112*^9, 3.417762815318438*^9}, {3.417762894178477*^9, 3.417762999866468*^9}, {3.417763182130553*^9, 3.417763182204953*^9}, { 3.417763406968726*^9, 3.417763408127091*^9}, {3.417763512439434*^9, 3.4177635278644*^9}, {3.41776382141425*^9, 3.417763825093554*^9}, { 3.417763987212276*^9, 3.417764015032127*^9}, {3.417764645162184*^9, 3.417764645970064*^9}, {3.417781107175815*^9, 3.41778110858282*^9}, { 3.417781151322069*^9, 3.417781153699481*^9}, {3.417781193275481*^9, 3.417781206959887*^9}, {3.417781387146774*^9, 3.417781388832822*^9}, { 3.41778196516312*^9, 3.417781975268545*^9}, {3.417784048171229*^9, 3.417784051132373*^9}}], Cell[BoxData[ FormBox[ InterpretationBox[GridBox[{ { RowBox[{ RowBox[{ SuperscriptBox["e", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"eT", "-", RowBox[{"e", "(", "t", ")"}]}], ")"}], " ", RowBox[{"k", "(", "3", ")"}]}], RowBox[{"eT", "-", RowBox[{"e", "(", "t", ")"}], "+", RowBox[{"J", "(", "4", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"e", "(", "t", ")"}], " ", RowBox[{"k", "(", "4", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{ RowBox[{"e", "(", "t", ")"}], "+", RowBox[{"J", "(", "3", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["eP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"e", "(", "t", ")"}], " ", RowBox[{"k", "(", "4", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{ RowBox[{"e", "(", "t", ")"}], "+", RowBox[{"J", "(", "3", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"eT", "-", RowBox[{"e", "(", "t", ")"}]}], ")"}], " ", RowBox[{"k", "(", "3", ")"}]}], RowBox[{"eT", "-", RowBox[{"e", "(", "t", ")"}], "+", RowBox[{"J", "(", "4", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["R", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{"k", "(", "0", ")"}], "+", RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}]}], "-", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"k", "(", "2", ")"}], "+", RowBox[{ RowBox[{"e", "(", "t", ")"}], " ", RowBox[{"kp", "(", "2", ")"}]}]}], ")"}], " ", RowBox[{"R", "(", "t", ")"}]}]}]}]} }, BaselinePosition->{Baseline, {1, 1}}, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}], ColumnForm[{ Derivative[ 1][$CellContext`e][$CellContext`t] == ($CellContext`eT - \ $CellContext`e[$CellContext`t]) ($CellContext`eT - \ $CellContext`e[$CellContext`t] + $CellContext`J[4])^(-1) $CellContext`k[ 3] - $CellContext`e[$CellContext`t] ($CellContext`e[$CellContext`t] + \ $CellContext`J[3])^(-1) $CellContext`k[4] $CellContext`R[$CellContext`t], Derivative[ 1][$CellContext`eP][$CellContext`t] == -($CellContext`eT - \ $CellContext`e[$CellContext`t]) ($CellContext`eT - \ $CellContext`e[$CellContext`t] + $CellContext`J[4])^(-1) $CellContext`k[ 3] + $CellContext`e[$CellContext`t] ($CellContext`e[$CellContext`t] + \ $CellContext`J[3])^(-1) $CellContext`k[4] $CellContext`R[$CellContext`t], Derivative[ 1][$CellContext`R][$CellContext`t] == $CellContext`k[ 0] + $CellContext`S $CellContext`k[1] - ($CellContext`k[ 2] + $CellContext`e[$CellContext`t] $CellContext`kp[ 2]) $CellContext`R[$CellContext`t]}], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{ 3.41778111673602*^9, 3.417781207640537*^9, 3.417781389300184*^9, 3.417781626822954*^9, {3.417781969025937*^9, 3.417781975743102*^9}, 3.417783863313429*^9, 3.417783930280847*^9, 3.417784051480556*^9, 3.417837480864459*^9, 3.417841962197402*^9}] }, Open ]], Cell[CellGroupData[{ Cell["Expression for Signal-Response", "Subsubsection", CellChangeTimes->{{3.417837152617747*^9, 3.417837157675421*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"600", "*", "2"}], ",", "400"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708185938001*^9, 3.417708225066429*^9}, {3.417708938849448*^9, 3.417708938949304*^9}, {3.417729994817061*^9, 3.417729994961415*^9}, { 3.417734582520106*^9, 3.417734582629582*^9}, {3.41777856275291*^9, 3.417778562817604*^9}, {3.417782066818382*^9, 3.417782066920951*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnemB7LithS/lSJySQ3ACzsB/nLhnuksqkuJOrNL53nO3tiIggKdAkeo7 //z3f/717+PPnz//C3/+/Pcff/4cAAAAAAAAAAAAAAAA8BchBG0XAHgjP9IL ECAA8nxkB/UBIM2lujX5lT8FKQMww6L6KBsD4KUsCab6IcgPgHFW9FL/DNQH QEI6sxk98f1OeyYHv7Mxvx/KTx/Zbj5rCvkxk6YS0bZNCNnaQvL7PJyp75Je eWb028Rt3QL9gZn0m0/RETBAoar9/rxqXOGqfEa0Ut8KokOHYCaOOWJtnPuY M5NbT32FkWdeRdP2aPwGFTDMcEpTfd/B5P1srfYVjqFLMINRhlMi3YWsurVH ngMzK+gUQuBrzimRlPLxS21/uvahVzCTPq8DL4Sk9n2PHoX98q/0kkLb6BXs FEcjwDrJ6kFXfZ/lhEH1YclBjBDixAAPRPkaVV+811Rf2hfQLXjBIMMbiT5u sy7fn+lWtNdQX/49jD7BC9b7XHGTR3PFYW7WpTAEQpfgBcMMT9z0kc+nhOSq dHk95NqMP1poGz2CnUR9CLZxavpI3+T862f4/V9x1b2qvr45QEscYATbOKX5 yWvju/JXqHGNd6eL49GaPUAK1OcImgRNqI/CHKgD9TkiWQzYaCXbr7WN/sAN Zl08QbIOXpnYvLeN/sANVhxc8f1L2XN/pY3yAYq2wRTRtBiC7YL7avt0A7cj pbbRH/jBm2YAAAAAAAAAAAAAAAAAAAAAjMC4pnZfImVcweO8jcwCliEBCZ8/ uOJuOvrF1XXF1Bc474ILq/7ac0vwPY/Gn3EwNH0eojd2SKjv3GU2xwDjd+wm 9pz6SE9EfadFhqbvb6SzviYrpT6Hb9ozfsfuYs8nOY8YX11tNO1bffz2yDH8 xwEGfVJQH0PbuY27VVp7UF8Fy38e8GaXUPvWWzbYbypwfsfuYjGKUj4Jq4/1 8QOzLjVQ+yYRckpafb5XHK7dYLTXVID6ZpGZHxZXH+N9CarP6Ox9DahvHsHl PkH18SE88nQE1DePrPoY2s5tPEZ9RjtMFahvgee968JWNkJuiLVlqx2mBuY8 F4D6JmxxvRpUaNlsh6li9F0Xvu/MLQSDJfSW9XXoCDwS5Hsttvjfr2K6Cyas qo/tO3MH2WCJ/IXR9wCbTORW2/39W4dW37I2GUbOZTHwSqx2J5NuWQ0WAAAA AAAAAAAAAAAAmOO2BF76A9jisV5TE5dVPkrZ3IR3+cHRmAAwxW3lFeqD+oAM 9xdpoD6oD8hw9qDvX52AcdTSNkHJTauO2/SLLc+3v/XS7s++YMoKIaH8SueO 63x3rRbQtl3GV4YzC9r92RdcWSGj8oZ+x/P2ab6zaoZ7Z9n+XuZm30WvMoCL OOUPFvnx9qfkz7ZO75zl/MpYB+pbxkOcCun97IbKcCsc0Z2dF/38DtfG5w8a K/+nd7Z9cq3pn/+H+szhIk4F9UmMyJ8GV3agvlU8xKlU+3T7sUsE08Np7kl4 iFNz5HkkSjzO0WU02DzO3asZboctwim/y0Rk7JVBnsVDnOrquzb4v+G9wxiZ sXddwB0Pceqq77MHETbgH3pCfdN4iNOY+s5jkGARzmiE/GUIBH8MF3GaUN91 CiJM4Y1DuI9DGK09BhdxWnvXBRKMEQ0BAj6Gizgtqu+6DCLkHXkWjL040hP4 iNPtweJzdKqFd0sQtc8gXuJUcnPB8/dqULz2vSy+S3gO06rnr1SgeO17UWyX 8RymPc9fpkHUPoN4DtO+5y9SIGqfQTyHicrzSIJuY9EF6jOI5zBRev74OVGM PA3iOUz0nofnihC1zyCew8Tl+SMliNpnEM9h4vU81aDbIJ2g9hnEc5gkPH/M WFS+9nmOlhCeoyTouf86iNpnEM9hEvfccx2UV5+3CCngOUpKnvscjGLkaRDP UVL13JsEUfsM4jlKBjz3UwflxWc6HDbwHCUznnuQoKRntiNhCM9Rsua5aRGi 9hnEc5RMem5VgXjuM4jnKFn23JwEoT6DeI6Sdc9NKRArDgZxGyUv+bUiQdQ+ g7iNkqf8WlCgQu3zkh49PAfJl+fKszEKtc9VelTwHCR/nitOiMr/a7r+0iMO 1CdOUNGgeO3zmh5JoD4lpCUI9RkE6lNFToMYeRoE6tNHRIKofQaB+qzArEHU PoNAfabgUyBqn0GgPnvEEiS7RdQ+g0B9RqGughq178n5IQHqMw2dBOXV94b8 bAL1mYdGgRojz3fkZwOozwfbAkTtMwjU54ctAcrXvtflZx6ozxXr+kPtMwjU 543FjKH2GQTq88dSylD7DAL1OWQlZ1CfQaA+jyypj8GPurFf9b02QYNAfR5Z SJpC7fP5n1qTBOpzyXzWUPsMAvW5ZH7hQeW5770JGgPqc8mK+phcKdr6jDzf m6AxoD5PXHdsu/ZBfYNAffY573MrVVCfQaA+o1z3Fr7i22pPftbl2QmiAOqz SJQVqptUWXF4bIKIcKw+v55X+D7MMdwZap9B/KrPr+cJSZljvCXUPoO47cOs XVWA03059XG1XDR23pygUYd47sNOPT8Hlzf18VpVqX0+MyQG1CdL9Ggn676G +lxmSBKoj5+QjC6pGp12gsjwmDGobwSoj53A8jw32yJqn0GgPibSuRRyV02/ 5wn1DQL1McHsnOn3PKG+QaA+Sjge8KqGUPvcA/VRIhbN+dGsUu0zlyJTQH0k fP8KQWrxzon65Gx6BOqjQNqTMC8/lZGnoRSZRGHR98Z6W5SerSP+DRY+z31z 6sPI0xxQ3z4abkzfO2qfQeTVd9/ab0sTHScW1KdQ+4ykyCzi6ituLrZlIbVK PqD2PQGobxM19Xl408xGiuwC9fn0ASPPJwD1bfqgZdfLyNNAjuyiqb5dw2/O rJvatzWr/XRU1bdp+c1Z9VP7oL86qisOm6bfnFMftY9gUffRKLyn8d3YNK6e UsVOtTDnyeNIxRjUN4K8+kL8e8u6fko11Tf9AfnaR/FC06NRUN+ZmHN3oyki nxw6YF99xVcKf362t78/j/Z2KG83m+/YLvsx8nPN198tSTKrG/YNqM9T7Wuc urPpXBmor7C9FenF5MR76+1QeLPDM2pfKLDpXBmor7C9Fel9/KpPP3bjtGpf cXPL1icyIe5u4IbnwKh7ru7ABI08k6vvuKuPpt2n4TcyFjzX92AYydr3zc2T 1RffVrw1cbNuI2Mhp/oejKNS+0750bRqivPZ7dxLjk40ohOb7S9FC1nV92AY JfV5CtEMV20v7Q7fs1IfJnkc10+svgfDDI48ae7oNerLbm/2pnXU92s0HHvp 1k+saPDOiYzvzjmtPZLE1iXJQwvFHSXqU88SB0WdTX/lKKnv9nOpFf28yrlw PVDE6pvwoCW+r/qI1FKekHgQScjuR02rLyTq87veJ6q+z4+o9oVwnRj4/FDt 61w4yuNrX/nLxYn6Sr8WmtHPq1z0ssRG6hvzoHXZd3Xu82v3pt5U+6A+PaR8 uCU2LYMjDbTlFz3y7fcJqG+0Ge2Rp3f1yTiRJ/an9uXn2g20rspmbqC+DjX1 TT5MGZh1ca0+KSeK6puR35yfUF+bau2be3LWXnHYSY6JvIoVv8+PkvpG1CK8 OPJW9c0JSnW1/djLjY28CgXw/L66pkZS9XV9EA0W6TDWIp3nvvFmlIJzGnav Pj43srXv6+vqo7y5AqNY+2ykiZTo9opHh5vxGxwjnvNE8Bob1BuPBg+EtY94 vc9MmmgpP3JDffJwhLC7XB0S4VE8931X+0jX+8ykiZTv6kzh6PANQ30EsKiv 3XpyfmzOs3NRVGuhvi7ltQUfKw6RWe9znn/DG0OqF597F8Q/CVcc7KSJlM/X VLgfnciX2orDV34brRC5s871FcIrP5JG2q2kgyaor085olNdQW+1/Qnqix7O JKxwNpI+sUB9Iii+57mdaf20xq9GMhqhaaVT+6KfUJ8QmurbLX7qaY2CxxZG qgRN1T7iWRftPJkF6tsgJPLjtrDdUuf8z8/Pzr4xqG8ARfX5/xuHwFv86KR3 jK04fNk3FuK9zeYei96sS/Z1u9KKclbTnkrtDan2RtwjlB/UN4bWisPHtuv1 vlx9pP5Q52VsST6ffVk3BvUNoPquy+bXrHJW8zpBXKrISylte21bUN8Qqurb 7GPqWc2CRxlK8nuTzDPUN4iu+vZQ9zwPHukkCVVLgw0Sj5qhvhGgvi0Hbm/Z UrkUz9gTNTiy4kAE1DeGX/UZ8PzuAplP5I+TzWZCzr6xdEi+2d5TUenDt2Qv ZJx4Qn6JgguU8gtlE6vtdYxRyi+vfdqJsopb9R0GvlI51XcIr7ZnD7DbxlD7 BtCpIDTjKvWkloJn9Yt+btYF6hNBSX2V7clWtJNaDJ5R+U25pfTcZ+FpQhSo b4Ny8Gz2IFGn1tRHNOXjCJ3nvsbeTDPaeaoEz2QHGnKKqvMvqe/3Q6/SH9S3 QS14FvtP3yeqCc9jTX3XR14kP6U5z9rOejMa+FJf/4pwfP61bPLnvn6D0TXv kR/Ut0E1eAa7T9el3/Phu7lnbDbF+QqhuQByoL3isJNp9QzVg2ev94yJj+Nf FByKRnbJS+SndJs7i+xRI3QOLTpQdcFc7xlcbU9/bRibXL0vvLJnLIAcaN0l xRO+6fxY6z2Dq+1K6itEy1oAOfD8HWPbc2OBtV37KuumpiLIgOdbNO65rch2 1cf43LemPtd9cwzPd2jdc1OhHRRArMEdY3PqczR3TAqe+/gw1XfGVtt5VhxG J1y77TwNzHkyYqnvjC14/1y17/VdfUPD3qkzT0B7vW/HvP3MGJLfmCtE/lLV PlMRZEBJfZXtyVaUEpNUiPA9UvDITucRdeTWq9rWW1GyE0EGVNQXPKvv523I 8FXfjxKrHpnpO5t5vj5eHrV0XlXpGG+efrL8dNTX2JtpRkd9nx+R+kJLfUY6 z+YT9vWfZL1uO8SKDDcxztW+ju2nAvUtGy2pr3S9jc5DML0VNZEeuS1TUKrP TAQZMDDydKq+sdpnpvNsTW+dTUStRWdK4iRUn53ROzkmZ13CvTuX3LSjvqZH NuRHMbfc2Dg21Ndfj7AQQA4MrjjETxGlp4zoQk4fK9zUVzh2+4iB3rPhRGFg Pa++5rxK1wEDAeTA3mp7afK+cKiwL8PcrMvnsH7vEax9hbx2al/fA/0AcqA1 J1d/1SV5pEgOGVHfT7W7esSI+iw8uZDUvspGNuvCoj79CDKgeV+VYVq+cT9V vYKJLEjXavtHed/TNYcM9B5W9YWk/dLXasP6kGf6AeTAQL/IGFNfEPM8nGJr 9Z/Pz+o1+mHmHHneHsqnnvvGQqMeQA70u0XGYO2rDFs5/GlMEB3JrEvLI/U4 j9hvP4n3Rp5ZQ5U2Sla7jn3aHLrOE0rrfQnZuXzjuD1Y/O5Iqa+0WTzf7kjK vadnvZGT7pznrW0O9WkHkAMn6gsmVhz2DOqWv7bxJBE1+d2/iGrPuyzqe6D8 lLpE4ev0diatfY3ZUTE2DSqrr3WuNHa8fbaqPpnaB/WRWe2fKqR/vBUWtkOl 2X2az6S9o/exR3okHOHIzg6rbyImj5OfkvoGzt2f+25XiqtvvwW17tNS38Dh 0rg/LoUhK5Yz6nuv/AyqrzSaMVD7SCKlqT5RYyy1TzN+LCjNuvRPDswlSnpO tMCh9+Utarmkvpr5KcceVvzsqa84wRnyJ4t+M4QQSe/TFE1D84aHLqLxr9BM Q32TLa+5ZBKD6qs8ZKitOBBq79DrPgN2K2tAa8Ymat9k02sumURrzrO63jfV CqVPdSukZrRW/bpWL8cIPOSrfc8qflBf1wi1FS31dQccpc1lY1zqe5T8tL6K KRBSH32LSl94nfO1nTVjUN8AUJ+8ESX1dc439haM8anPdZfN8Hwr4uqjsqcR 9G7ta+ytGONT34PKH9TXNRJuWxSNSke9P+tS2V4zBvWNoKS+r9kN82JznuGg DpR82PuzLpXtRWO3Jmr2VwLxFPlpznl+tjdaIXKnb4hj5lM27gNrrOE3GY0/ 0R83VlqxrV26ZGDhQ/ZQUt/xDaAD9bEgHPiGuVBg29ho7Vsz9ZDip6K+EP3c kJ/vDAhH3q76Xiw/TfXtFj/vCRANvbTUCyPP4v2u+vUI+UF9ikjGXljqhfc8 i/pbLrR/f4zjeVwUqE8TweDr1r7akHZjoEs1StZEb9bl7BBvnXX5QS76urWv 8kQZNhZzyB5SFVFSX/jYdrDex4tY+Ft2yF0YVN+5B/VpGX+5+sTk17ATCmwb y2tcWX1955o2vMtP1/c9436jHvNU9V0N3ZqOjscfOEL282hvF3y+NZ9vN0+G ih8jP0d8LW/vRVoPv57HCGWgYSQUN7dslbtciPtsfOPrPfpuCuqTwa/nCTIZ aFgJ0UVUtopdLsR9Fuo7t3zi1/MUkRSI1777kdvha3clAKHcpivUnN+OnOuw p0jcScMGufoKuSkr5bO/dP9Q35bZvdD5DnuGwK1I1r5Srypme6sT+Befkvp+ jYZjq9+5jnsG/70M1j66oeeYBzv6gfoWrd5+LrXiOO457GloGUgm/in8GFYf gTk1+YWQbi2M51TUFxL1bRQ/GndMwJ2Hlvi+3YjIj3Kv4lGfWjdwq77Sr4Vm HqY+1tsZq32dCyeMjapv25Za8burb6EJqM8IvJloNZ5OPRJ0CVH1acmvMLE0 34T2yBPqO2FNRbPxdMS03ydk1ackP6/qw6xLEWb1dUzH1nnUV2j2Ueqbvxvt FYed+D9Nfay9aK5tptrHpD4d+RGUcqX1kuu7dsf649THmQ3RPAvXPp2uMDi4 bjehNmP0ecbfaYLKGTNwqo+p4bIxcfWpzV4MHGw04bcP+/W8Dls+DIw8GdWn Ib+yxSlHoD5jcCVkbglYSH2E92pFfVOOQH3WYFPfULM075pV1RfyA9umqm2z UzM44QjUZw+WlAy0OfeWVK+l8uHOgS2bZE1tGjT+phkRfj1vw6S+mQW/fWOV h6L2/qZNusbGDM6eKFzptw/79bwDR1Ka73lSG9RQn7j8oL6HwqI+QWsq6hOU 34+l6s1Afc5hEQRxi21jg+rzK7+7sc8BzLq4hzwt41OeJMY0ap9ojyiqL2C9 7xlQ56XfXvhCYExJfaIFvmQf77o8AnL19a/4vPu33yXq6gvZ/qahngHj6Kgv kHzP+or0LNLPRNF5NvXlLctO7dpDQ30hZ7kdUresQZuaXmPJaaY3zaC+DHn1 5RbXPXAV6AWI1dc539hbMDaqvnfLT1x9JXOLPniK8xKUyenWvsbeijGl2uer V0irr5YVwraeBF12Jh77SMRXU1827tkzNGDCNJjzNA1devqzLpXtNVt66vMk P7/qC29QH11+Rpb7joPmX/RsTKUJqM+R/Byrz63ncxDdZqOZ2xw0ifxqZ+p7 VPjpGG77MEEf8QHRfb5IfX7kJz/rQpdpLzHehSRFosFSVp8b+UF9DqDIkWie W+qjXNVvOcDUMiny6js39v9LjT4iTAFBkuZW27eNQX0jiKuvuLnYlosIk7Cf pV4LpMFs9Kr4BGPf8yE/qM8HBBMh7dYpJ11G1UdbcG8u8DVOBdTnhN08NT+v pD7WvudBflCfFzYT1R15phfvmJpQ356Zng+MrdOgqb79b9jNBlyxrb7O+cbe gjH92udBfqrq43yUeR578Zr6tNjIc9NOzwvW5glQW3EgeFnFfnRp2YqXkdV2 WfVZ7yDS6vt+rYZt4+aDS81OuIystkuqz34HkVdfiH/7+To3Ac+LQZVTW5kx oj7jPURBfeGI4rL3dU7jkiPWw9X6ZOnU5vdiQ30h2l43MeoHs4U9xNV3rS19 d9dbInLJEcvh6q73tfYXjFmofeblJ6++3CbUN8VqvrovmlGut7caiOfdtowM OsJuYwMN9eUuLH9Q23MVFhPW/Rjhqy6DI0+JrqffvVsYUN8yfj3fYi1jVlYc ZGuf8U4C9fljKWVWVhwO2dpnu/gpvusycLjTluG4srKStLfWPtPy03vXpX90 ra03sKQ+g7VPyhkROwsorff1Dg02te2NV+bT9l71GZafwnPfj8louW9jCYvM J3dMR+21I8/DsPxUZl2IlpasxlSGycC9uPZBfTe7W1Xv04bRmMowrT4uR4rG WuojeM1p3h8hS3NgxcEtc5kzU/uOSH0y3siamgHq88tU6szUPqjvC9TnmDn1 Sfb1tvrCuSHkj9mhp1/1+fWcjJkQvFt9Rr+p/fZhv57TMRED6ce+hjkd9Vns LG77cDAaUFnG02dn1kVFfTZ7i1v1HVZHE8KM5s/OrMvlsoV3HHWB+rwzmEBT tU9Hffa6C9TnnrEMGqp9H18MvGGsDdTnn6EUGqp9SuozKD+o7wGM5NCW+sKh kD57XR3qewIDSbQ08jx01GdPflDfI+hn0VLt+3VG5Y9rxE02gfqeQTePpmrf oaY+W10G6nsI/f5uqPYR/HnZGsZ6O9T3FEYetaTo9yqtfmeru0N9j2FknlGI gV4F9R1Q35MY+8sCdU90MeWZ4Th18es5E61kGht56mHJM8tx6uHXcy4a2UTt +2DJNctx6uHXcz6q6UTtOzHkm+k4dfDrOSO1fKL2nRjyzXScOvj1nJNKQlH7 Luw4ZztObfx6zko5pah9X8x4ZzxOTfx6zgvU18OKe9bj1MKv58yUcoqRZ4wR 98zHqYFfz7kpJBW1L8aIf+bj1MCv5+zc04ral/D7N05r/9VWUi+Mx6mOX8/5 KagPtS8mnGg7oWl/B7+eC5DnFbUvJViQn4M4VZn3/PxE+G4kB/Lz98Ph2i32 7utgcTc+GvJzR9x4ZC25ZuKes8Si9qUEC/JzEKcqdOo70/AVSSgeDr/nttX3 aSk+eFpNP5JfM3PPaWbF1Xd17Xz7aG9/fx7t7ZXmj9uHrhTX/Rj5uebr75ZP yNQXaTC9qnJ4X32FhvJfpaNz95ykVkl8UF/L198tlyx4/u3LmRySFjP13eS2 r77SRU25LakviZBknpN+DfXVff3dcsiS5x313cRYPEynviPczpGqL5acZJo9 9KpEe5pOqBnfYkd9R9qr9dQX8nP3xuNrFtT3/aCw/OSsLWFBfB7iVGVVfVF/ nlFfdtyD+iLRiabZQa+C+jaRVl9VIN2WVNV3toval7ApvsKYfr4xD3GqsaW+ +JlrVH1XygrWjarvkh3Ul7NX+W7qO6dSZl1YtK/Oovribj6rvsJV5YN21Pfp ERh53iFWX3Z80IFF++o8QH23c9evo3TNmohWvpX38NOrCEae2f5Mg37idGdN fUmYptSXHq+oLzR2m+YqX6Hlhqb4yTFqX5lVT6E+LfWVrF8qCfXdTErpA2T+ K7tmZWATOSebZ0+9atFVqE9YfekQrjbyDJ//RSbuFbHQ0K3AhiO5Jm53GuE0 u+pVa75CfWvq++6V1XcVikJAo3DV1HfUx5/xRfeDt9mRENvNDkyC2leHWn1z pv3EKWNJfUnvLjcx1u7IVeVrZo5SAfXVWXL29pmVL0hfcUqB+ibAyLMOifpW BhjO4pSwor7kM5Wbf6j6UPtqrHh7/0j+4DBm2FOcErjUt2R9SMfZY2bpIq50 QH0NFty9jzwrxzt2XcUpBuqbAOprMe8v5jzdeq4AnvtaQH3T+PVcAdS+JtMO Q31uPVcAta/NhMOfdyUqn4f6wA3UvjYzHhdf3PscwKwLuAP1dZhyuai+MB1l j3E68eu5Ahh59pgVTuHQ/MOjwzh98Ou5AoR5Lr3rmi+bOMyNgs9u4lT8rlHw wytkwYr/1uJR6lOQn5s4QX17UOW5MrnwBPXJy89NnKC+PaiCdbbzRPWJy89N nKC+PYjyXFvWgvoW7fmIE9S3B9nI82ovaz4z5jM3wn67iRPUtwftY19TfQFM QJIWbm7ZBrOQpgHqI4IiK+xAfZsQpwHqo4EmLdx48fPhjM26gIeB9JoA6nsl SK8NoL43gvTaoPCuSziQngeD9NqhpL4g/J+JAJIgvYYI4f4v2vuZvAMLIL2G KOUC6Xk0SC8AAAAAAAAAAAAAAAAAAAAAAET8H2aUTmM= "], {{0, 0}, {894, 387}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{1200, 400}, PlotRange->{{0, 894}, {0, 387}}]], "Output", CellChangeTimes->{3.417782067396532*^9, 3.417784052415999*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztnQe8JUWV/9t37wszDBkVI6iAjCiKIiJJUBCJCpJFBQQRFRwHEDAQBAUJ KggKiIhkGEQMKIgBMBEWWRVFVzEgCy4sCOsuG1i5e75V59f33H7dN8y8Gf+7 f+7n02+mq6urT506deqkOrXd3oe8Y78D9z7kgLftveqW8/ee944D3nbwqq99 z3wraj2pKFrHFcWTXrhqwf87RaE/ld/x/JlWPGTpsamg1fnv//7vzmOPPcaV nz6pWvOYVDDe+drXvta56qqrOh/4wAc622+/fWeFFVYoxiixVv7617+qevFY fQNTnTlz5nSe97zndX784x+n8jPPPLPzpje9ib51/uu//uuv1feOdhAPOOCA zpOe9KTOn/70J7vLZX/5y186r33tazvPfOYzizW9bIMNNuhsuumm6W4ZL9tq q606L3nJS9LdDdUPHO+VXv/613ccv8UaXnbPPfd0nvGMZ6S75bxszTXXTHUf fvjh4vphGlvdy37zm9901l9//c7+++9fLO9l1ptU7/LLL5/e2LxU0E4js/HG G+ua9Hd/8YtfpCL71ypRNtn5+7//+7LqjjvumJpxWEqs8eyTn/ykN57Lfvvb 36ZyGxWv107DGz475lWPOeaYVMTdWGjyhBNO8CHOZVdffXXq2l133VVMeJNv eMMbyiZ/+tOfTnrxf/7nf3YOO+ywzty5czv//u///t2AiFW9tVVXXTVhvpOo ML8G1X7oQx9KX3n605+e6r86PZvofPzjH0/lSy21VLrOOeccnoxxY82NjY0l 6omduPnmm9Mr9q+XTQJNqkf9k08+OX0CopicnLQ6Aam8eOCBBwakTnXuuOOO VP7d76YedRYsWJDuZ8+e3dlwww3HvDLgWXvp0Z///OfY4tve9rYenF5xxRWd iYkJhsu/vFTnP/7jP1JdmqApSIzfa17zmrLpz372s53HH3+8HO5zzz03vfNv //ZvxXDYbqXx5Z1Xv/rVRUB1q/Mv//Ivnbe85S2dTTbZxAe61TnyyCPTh3/4 wx/2wW+rs8suu6QyG8YSldddd10azqIveicb0QuHUEcvuOCCVGYdLvohlrJP fepTfpf/XnjhhWnyf+tb3yqR8L3vfa/z7Gc/u/O5z32u/MZ3vvMdONBIyOR7 2267beef/umfepFpXKXz+c9/vvOP//iPxaR3lMogSr9+iOwiqJcJjYUPA4zN vhKRqjcMIs8444yREUl/vv3tb6c7EYhYfqx34403dlZZZZWhECm4XvCCF3Re +MIXdv71X/81V94uPViqH9LS/SWXXKJZV46KEPHGN76xB2H77rsvPKpEGIAO izCb0WVbrEuOtGJWDcLm9EEOnGi77bbrrLTSSgORo+899NBD6Z1SbtjeH7B0 OIJKVicEwYT5nXfeeenepvc0BFUpqndqtuLULOsdffTRnXa7zbOyUxFJw1LV Ul72z//8z53Xve51qXP67v333w9/SmXTkTQVkZR+rKy77rpran/+/PmBgNrl VB8fH+9cdtllVTSJjmYKTer+xz72scQ9DV32Ln9baSUfFU2z/UvQjdFzenbo oYfq04hfjHQ9psYTpqampjrrrbdeul7+8pfnBc/evffee4XA/NJW/tI222yT Kj/rWc9K37vlllsc3sWHN81JYwCdm266qbyOOuqokXGWyybS8kg/Xvayl6Xn tGWkIjB32mmnEszvTMNd71RsOWoOOuigzoorrph41QMPPICom1/a3OGH8fPg /PPPT40vv/zy6QUTtxw/03EID0McqONhVRz28rD6KcpKDgxdwBduimpMEE1o j4vns2bNSn0yBJXvgcw//OEPQyFTfYTOaO8HP/hBrvwaH7if//znnbXWWis9 ZEl+85vf3HnwwQclMdctnKeffnpiS9/4xjfK/v3qV7/qrLPOOl0JRJR/8MEH l5SvBj760Y9OQ+Ree+1VGYR2QoaJ/kKmqn7lK1/puya0vGsIu8wD1wNT10xr 0Cu//vWvmaOd3XfffWghBB5AUyYpRjS2S+EZ+rK1Tt+I6BNYqHO2JCWdkB9c ed111w2y8ez0zpZbbtlZe+21E7eFxSGRivO6IJQxMivN3mWWWSY9NsabmrVB TFXf/e53JyoW9mzUhsBeuxSS99tvP3qlNWRh5GAG4oMf/GB3UZXoxhAgUXzp S18qF6npKJvqPPLIIwlu6i699NKd1VdfPZVtvfXWXazNKhkfjI3HyP6sRZRz b4y9nGhM3Ouvvz4xA5qEAVMHLqMJXzdpEVzg8l19opXeZ0RAswSSUfAkCe+4 444r50CqvFmYXTw45ZRTCs1Mm8nlxHpBH4BNn+g87WlPS0pl5EYolPfdd1/5 8TvvvJPOhwnYSlrm4YcfPk3X7jfYJoaj1ySdvWewIUgfsPKjmDKYD9ytVdMJ Eei73vWuzjve8Y4e4D784Q+nujYvyo+jzMPN7FtlZzEYvPSlL01K/7CdgMBq 2OXsJC694hWvSBOTyzCTnjNC3KM+mqKgb9t/UzG6gywkdf374x//mBQ4W4q8 f+PJNmQDnrgybey8884lZ+QeSesjH/kIy6w+h2gPI+WuqatYkkwfL5KpxpqC Z6y88srp826Q6GzpIFxzzTWpXJd9rocVUob9Q13j3hl+OZ+hBdFpmlipmj14 /vOfXz5QB8TzuItmJ3UAYoQh2WWN8bfFylC20yl/bw5vd3+LZPobXJo4rxE3 JIftCkax3HLLpRXrd7/73Wb+mEdvf/vb08iCeu6NZwkJEB+j1CmJfSKxtN12 2y0NOq+BBHtNcwuaAjfcqUxr1fe///0ejsa86TY9CRMogX3uc5+L8p7ujdSL j/h7xsVSmV3FwV7GfKaMu4Nq6rXT317ZN9vnikvTP1OJ5zA1QQYrKHhivWIt MzBe5dU+85nPJBbGI0xJ/ItiCBJsbckdWSqZ2VCZ9GMC0TJVARbOxKuQ36iI 4z1WoIg4dASYklsGS/ZtZcVxPm7ISu985zs7G220UWfZZZftnHbaaSw77/Vm xcMiDtH7XWQp9QdWF8q22mqrYn7EYStJv1gCWbjqpM1NvAzOVDVC3n333cn4 xbtiySzWSPImYZbtMYexbXK36ZCY0/oDD3nqU5+aFkK194UvfKFk5x/2QUZj wFoNlm2udG644QZsRonib7311nlDYOyss86yrmWx1KSj1JS9Koxd4tURuKh+ 8cUXl+MLbVB25ZVXFht7WZ2BCCyoLHI4DJSjYEd29t///vepzCi/OMbLHn/8 8WSDiCOKpAR2rr766qIOFe/xMrgvegp37xuu21tssQVztOz23/3d3yVBa0l3 20YvlUUJ7NRTT03EGLtY121s1RA4hschu10dbVte+4621j24yqc//emeeXTt tdcmBgUBSmYbhAot/WeffXaSs2J7e+65Z+IYNg8GogfNrgk9opSLLrooCakm xxeHLk70TCb2gdKKVRJe/ctf/jIp5vCxYZnuLG8LBsv0R0Tht/nmmycRw2B2 ttGMliqFRLSI+2KUBC0Ga3HI4kRL1kUpYynD3IakdvLJJ79mRGIBI9igsjpu jRy3CGjQQu5CebobklW+6EUv6vzsZz8r0cAihKY1aPIENBSvXYi+I+9y99EZ 6DY8gzLT6Hq73U56ECAxSn/5y1/EhHGU1i2rWKo6YfoixmC0+eY3v1kuqzB1 BAR6Lo8bn8ErrJ9jYlN/zAqI85hfQIjwYfhP2usw+JCnsQ4fh4RxwO3bnSGl nAb/aLVaSVTELgDgjz76qKSdV3k1+gyOeASb5F8EHqC0Vya9X6AHoKiCrZXW jDA28ccwQ2RRPsiyV8HKl770pfSYYnTbHqxMYM1JRQLTP6J5EolSw6WPIDgc 6OSKFoUUAnyOrBJ5EDFDjkLZakaelAEEW2gXfWeHHXZIXsZ9991XyoAe4SuF cXJv03sqIEuMA8GfpcEE3U2dUimWrdqQ9Govhkr5jiNntjdG+9A0WAAszFC3 3XbbsT5+UAlCBjYOFFrkJ8xCHnwg3CDT8s3nPOc5Mkg5bqaSwov+8olPfCLR LbiVr8fI3+fZAv4ZSy7BzGM0AbR43nLLLUn4u/TSS90s30omT8ryW/ZXzIJC E/PSncpolHL8S2oA+7ka0MejFeXDjiVMN7g2EDzQRHjnRz/60bzwObzydHue v4LRivK99947CdTvec97uM+sJiiLCmyAOplMGGDEj3CaU1aS0Fh6nP1YgnF+ tcX0WwhV9bz8hYceesjB0RcUeICjB28Yl6nYc7wYo7uKbX5JGAy1i6W9TFWR /OfEz1FZn9PgoDlSmRiRpZsqz3IgmNgCwl6QzQ1LAEXGd0o7XKhaAjaonspQ untgSv7BpfoB0S4b5xLsD2ecn+sIxuaOqxwOh5iHHmv3Erlxo8lmbVKlGsZ4 o2LTeIR58UDIUR1Ejads3rx5wnzWI5lXVcxDq1S2WS7M58pG89Mwj3FAQNj8 F6awYlD0/ve/v8Qert4qYAQHOKsq67HMqZ7KUA4pW2uttYR5uxXmWRQFxJpr rikEuZiZLpSYgPnPpX+mksJLWBPWaOMtiadIODbYRftPjMBiGoEstfD4+uuv LxdPGAWOw9xIJy0y2OOxDKs5W5cMtmWXXdZqEFqk8qUQwChuxeoGci5TVaKP 0utCLZUxyFBttld2xyAv5QbqKs9yIPiugLAX5ngbrJ89H3QZsQpYXb3YgTlN MPk49AGiXTbu43BkGFO6sdlmm5X0gPNTJDbfy26//fYkq8Yy3pNp95DeIX3x i1+MnzwMX5aHCDTLd/kva6m6d59jVlRCjfenv5MpmglR8pWvfGXipvyL6IOh X3MO+YLpiJXqyV7GWo4hnbuVvAytHKdALLvrrru07pdluH4oIyhG7WGIfutb 35r87fEbyIXxXWRzyR8qg9FUv4FdBvGU5UTtgQ+EQpadCloxXQ5G63jnxBNP TK5qDbhRUXF359hjj7W3JCg7IXwwNOORPqUUDBNQ4KYYE71H6X7ggQd6IBZx RCwrWlRl8rzGMkUB/eQnPynb22effSTLl/WQhSkzKawsQxhFXjXGUL6riIUq linDuRxhRpr7h3/4hyqWedQPy23/W1kS7vbiCsf7gLeAHIiwjZdQreJrVpjt LB87JGteRdpmLTIJvFjWp0FwnCQpwb+M0byQk9ZtYwlhRtZyHeEu4wfQeKRN w/dx3jqRFT/WkSuvvDI1CagI+k7tSfe1hSQxZrzmZ5xxRhJasFzgtjbFNom5 UD2hamgDmAWgCzQjNCSs3qIB9A2iIljP1l133bQwoRUQiUzX0QahAwSu973v fWl5Rn4iqgsNh0UD1KEMYU9GyRQt4brD34KWZqttEssIGjjppJPSTMWSevHF F6MGpQgFnL547dDWcFXASVCXUFZhcEQSmfaQWf+haXFnJFjxvv71r6eRgD/K G49DEKcDCgNiNLKcj0YyrCBlMAxMDw0HipOTdxoONF7+TzvYrZmatM93+B6k z/eBw6ZO0vJhJCg5gHvIIYck8OkGtEzbWGPicBAMjn4HlTEcyJ+jDgd9kJxR HQ5TI5MGhEFslOGA7Wg4NHVXW221cjiY4vST/tJvmPko44Fmhrshz/oCspQJ dPGyACJ45NqOLAAelmdpLmPF0qr4gK+KKAYyiS0RfgUWBwPbTm40KMOvPEna af6H4rTmmJ7DAq1iFnRcfdtuu+0YBUV2NmLOUJUVVlgh/bvhhhvCadqpWjvB pSoFUVsU5zXHi4vrvAwhhQ/htq8MMuaOJY+3GGAjUULiEFSvgR93jGHdJnQR sQcGTdRpYka8MpWI2WM00g9JiR97Ee655x71gXmh3xVXXCFKY6r5r7jOy+Ce T37yk5MXv4IxmC6EaK+VMCOGMWuxL4omFh/GGLNOkHSwoWIM0WXNZsyNJzG6 pdiHVP0noYfIw8YIe3uYYnjSCsx34IHwXnyJkJHxrAZtcEAHYbijdlBKFwza hPMkoI+lv3mjiMhE+gjiBYDaVST35y2hszhbf/nLX6qzMjpAOzBhIvdgwiwy dt9gdGjopARIVhds/p1OrxOM1eH0008vBcjYyeV9FOHsAKLLhJUi6TjJe2l/ 3cifqn8/dKzCvt2CZXJJ0RsEMtq49ZOJo3xZ1yXJlxivkI8yLPwdLwPPdNm9 lc6dO9d5vqD9Tugh0x9XrPdwwUJ0ZDLZEfG+oRuyKqNBcm+rZKk+xU6swt/x 5ATLoWw91NZOTsjs9RHIXw8gQ04mH/SCPN4DMnoflPqHerilnbJKIzR+7GMf K7XTCOdq3jQSFfV0mdJijeaFCAUG8zTX2WeffXUAlNUFo0MfQLkIi2wA9OM1 QClkGVEKkcQuw5v9bflUBT/IgVkE5292xwqXVwYQn/KUpySv2syC+CL+JgfU lMMU2eSC5gk2Q99f16uylrH7gCst711ehpPXFi27s78XBohQTOAnMwvRK8K0 Re2xy8aGv63Sa5KBS2sLDCrHRwpp5wQQmTG4KWYWxI28DNEXVYLozTGP4QzW nfyWfQ7Gi1qhCy5ydoCSiYEWP7NQbuFlLKT4sOwyKPmbZbHqukW4CCGNxx9/ fMao/WU5EF4/HiCGfxLJ3wPxxDSIXa3//fBAb+1lyF/vfe97uQxA/uY4017U TiTrLEDrQluzAT8pwMpXCT0ZACs6jskYI8D6ei/DkYA8yEfG0t9WUsyrCH7V q16VEM+Ow7H0t5VgFoI/EoCune2tCHTZLHYCNfHb4aHf3ctgvaxCdlmTE27S TCHmRwaAWKQQLBcfQG/2MnQzXHh2WZP8bZWmmDDxCfTIO6T0rfcFcCFmAn4q 4CpUbwbA3cfLsEEQJmSXNWl/tX+F2B9Mf7oeeeSR0p0PiMihpuj3gDi+aDDt n9tgs2UrBS9U+4r4iW5ml5Xxt1Xao2jgwAAf6gS7ZCooRP+fIRTKaYuah53a LmuSv+NpY1GcnpQm43fR0v6a9Pbbl+ikkYrK4nTEEUfokoSDnwQBmcuGdr8A GxP/y1/+8gzBlvnbeLL3oZFzOZzZUp9a9goRjdlvYdWLVrkBnKbeGkAlvtCe DQMqdkMUvyFAxXGPsClHA6Aek0G1IqsQpNt0bb755tmlXfT6mXcNoCKb4Cju A6pkvehGv2v4ET/Wq6J+EuPt17hPcgyxWMx04U7fOQCInE8wQw+Akz2LD5Qh O7sBWfxueOCOz/gzZa/obmjvdno82X6w4ugiKH+HCnjnnXdeP/BgF9jvFgK8 E72M0UNWIjRwLP3t7gnuUtN4kp1YjnRtscUWxXaD5veMQXs6f9tsINHgYqJF d9DF4G4e4OFjOBEWDzxnZngQs1qKaemZfFhuYZ0kGxjj76YBNnY2EI+8eGA7 xyc1azV+Bl0m9mSjTwteuHGAB7kCB8rigedChweqwmKmq9VqlXMBcxlRRrjk mM3Q4csDhDi1MQEOCSEOzxEgvNQhxMyJsVEXGBOErLh4bHThJVtndPpHJcGo RaMjQHiFVyUoD/HbL61tAMfmVq7DDjts7QAXmL7tttsGwUWXGIQR4boqMzmc v+MpBisuEnjex5D2XhjggY8Q2zEAHn6KFRsBnrTPZCylB+ldtPD2YMRYM4CC 6odjc/GAcq2XYZ2B/ef8B5k7eBh8qrF6gIhmr7322sUE0XVO5niksFFjI0AW RzpeI0CBAokXfPFAIbMdNhvKcWlHHECFJh73fn2q39dxp40gJwoA+UExwkUA 8IPYs2EAwDSMneoHP/jByAC007KrENS99tprtQADyAExQ8CghA0mko0Aw3ed FnCWhfmaNhQ/NwBCOWacCiCKM4iA4DxkdpvyPAIg13gZ8a64RPOL04HjqgKH xoTNOAInfi2o+LG+odKPANZVXsZODBwTBl7plOCeraxYPsYdVLyybGfTxQ6+ Kh6ry8MMgar9bMQY+K90yqF7IIfjXDdZXNEPrEAoccb98AdF/oy9i0xB/S3p svM7uOmuQXA/xatqKza6xee9Kt+n3K/oXmTdWn311UtvL6504qO5i5IB04/M JTMG78lebAphGQRnMH/ai9mWQ+QD1yWXXCJfHrw0kKp6ggnMvYdFlLiQoLHs zxjU0uQwpYM6PQLbSr+GPYs9a1ym8WlLNKqRqicBu7ZHUbZm3hHDPxz0aBgU obaOoNyd4FWVL5AA+fnz54uECdlQC6boqTNEibCCcG2wwQYDNZRGqMVWR4T6 KK9KhAf6vV9CqsykBJKY6qnOYEunyMN9JL85P0x3kZkwNGyH6d+TuMPCzQnF b4bviQyMhBH5PMjyS8xPRhoC7tbzMsQJuTcjxNjTLrroosULsWyMX/ziF5NE jHlCExEid4rOb23s7RKlRyNo24bvCDRtEF64WIFOG6BSvoOiFUMUSldqTIqT d35lSVuZFuoWRo9hWiKQZ4wSuVSFnPBONlhjBMqQT0xb0jF82Ax/TgC+Vgju Czx+m9///vejAP8OL2PdZmNUvmvokBwfhFB5vqnSdBWHbJXQi+G4jXpBuCmG SdPvmnrxRoqXxUldtLTvNdWcW9O9t3sb+IiI0OWZKR07eVXCX9zNXuokinil xqqhI4gPaPzDdcSz1SQXVf+O5K96ToWBHSG/BRFyXEYcuSOTycSCUxg7HdOb xwjlu+22WxFpCr50zjnnDNkJhQIO6oTDCmymP1sl/ubsc74s2VzNZR5K3djP fb0MsmPGswNSXiD2jCrA+HmhUzBV0y6H7JS2PwzRKdwIylgqBgqdY1FnY+k6 fTpAqJreHdSBWqvOTHQg5N0rlysMhsx27l5S04G3eRlyhpKI7BE6IJ4aOzDa JF9CHVhjjTXKnLuxA3UjwLz56le/OmIH1l577YXtAJsoB3UgzpVBHUA0PvHE E0fsQGTgmEkJ16bGL/p3avq8GE+iKfMCTDIhoecX13Tu+gEdYS7A24frCMHF 6ojiQdh14bEWxc/7dwQ503NQFsrrxWqNTig9jTB1bFfw/hfVdGhv/o4lBtQS AqcNGd9nf0Lsaa1fo76nirshKknN39G/awTLEFFBOJC6Rng2ziB+KAjkpOG1 HXbYoblrVsY7lBMUuGelV+SbrPZqmjOpUbvAxqTxmxi1k+0ypyrL2korraRW 5f5l4ZFCBN9WPpbNNtvshX26S2tkGDR5rKe7deRa4Xzv9kfwJ+xq2M/mpL8p qq/sl7BNX9V/iQJKeNgVSiZTCqQoLjLL+L3pTW8qBRdECFad7nsTyQdMrmS9 hxBzxhlnaM6zt943GpavIFLFT/EzbCiYhakQRi1tR7z//vtbDijBpsi6eqzN Iu12uxxgtCh+JHib9GZZ73HO6D0G3BQoAaqIzogT5RfUhfTLjxRH8taB38qm S+cTKcazzLjExQYBw6c+ycYyTxVffjLsh0yXpyBKewuFP7aExDqslyZZq1kE f9+MU76iXJ26iPQ1zqBXjj/++ER/8RXIOb7CSn3qqadqlDCsKyMsF4CnBGG5 H8QAkOxKj3FJ8cPJrSaUrCTSgfHKSQeKiC2ffuXAirdk3HfRKKrf0ake3tOL g1YKwyKSrxNkLcKd+LRRdk9yv+qEhV0z+uzlGzRhcXZgxKxM2LDPrZjjIMWd jWnCrvDEDH1ihv6fnqFJn0z5dYuWRLz0QLIr+FT+v5g0tDol2UlFJCw5ADUl 8UorSWyckoQBXHPNNXVTEhHYLvs8f1tpHyHEy13by+hnzzTN+GmnQfIGuKa8 14yvij0oPQvbhnYGLbySlCB+WFXG/HuQHMIhd7lsIvmjQZfeY603mmn5K0QA MhTVV+Kn+FnTLX/MRimck3oMn0iJOvNj3ESwHD1mu3AHQTF/kB97BHLl/Je+ 0YpeoXX7Sit0i18XxslpMNIHfjmYOA8MU8P7li4E/7YPkPdJz8bAo74HKI7u EicRhVy+zUGdhp/Ex2xlNIlbLYIP8BJbRC2Jr9R0Gk9GfIVYsWqnE//Mj+kv w6vHwGySoigIysAsqcckquOXDZvdkagOvVHipANFN9md1B28bg7MLqDtHr++ TWJNPTZd+mD2naKUsZKR1FjJ0GQ0JU9rzXSscgP2lbJCcaco/QZNLUr60tTY 1qAmv+CvAznORi6DTF9iUzFF3a/ncDdVNWpaxYsbPEKgBY+PHuERUnysXD8o OBEVlfDSGUIFBKXVQisIjkm9nvYlGSlB/exYxQnOc9IY4HMlTkEiEnm9nfcX SvsPt+E9llveY6ctbiKySz+7HklJV51I0ci96YKU1RjnHeHVddhT+rcq9op6 3Wghsacew5LZ5mRYKZKf/gLvNpuIiVF0M3Za5tlwTPhNP3QR8o69VO/BSln/ t9lmmyZ07eYNsJrpqKfxGqKe668TmEfzjjkhjl3wdYhjwJniQyIOHx+bwxoQ p6pYA1wCK7RFhiqeaat0V0hwyVHtuQzno3JMqoxtnB7zWkQfJ2yJwKNn1eNO obFEEHf9adDmRLK18Bkuglh5ZcMNN+ynrAuHIGBHH1ECCXQkEz9YNlyNLOTK CA/0yJ36YTWnDhbDtdZaK22/K1py7KWXnlKh7QMPPLA6ROypVIoGhUTg40YU 4gtoJLZCFC/tP1Q6y4CIkwu8DJsdTrpOUJBwhrNdIHc7l0E8vblwcuIUpgd3 z6wfll3CSLNrkdDBmLZQSNBIgwSC+DoNq4xonC38mnF5M8qstAEPAyh7Lll9 oUq8FQw7Fj12Q2nLbtDj0lqZg+ly28QmykT9zAAXfnmMy5XBIStB7+BMJJ8F PzIPACZkYQO0Tv/x0fkTcXwIwKiOD8ikczgLZmh8YM7gJMsTzeNDxEU/Qb06 Ppj04/gQhaof20eQaaQFNY1P9dQ7dGCc0Nw9I4wPXQtRH9rQwQTBaE8sorqB dkqZjVNpytMBFKzONlVf0n+sUA+GHSvqmWI2k2NFbp5O4Jp1Y8XyMMxYIfB4 Bv5iey9D/ITfYUkWiHXjROqMpnFi4zVKGBv14zhVYoo0TpCDb84r5RdsFL3d aqc5pTRm9skX14+T8pv6GKW78xdinDACVU9twBGx0047NS1FGicEbnjGIJ5H ipN+4yTHjbaAskAo8gYBlrJB41SdT/Ax1WdOMkkIqnt6ZZyOPPJIjZOymiNx YOK3y7rA397zQtUse6Dd1lWsvbgGaSoNEiFZhCB7msoyf7/VbRC1JC7AR7D/ mJRY5s8PY5R+CL2MI3lY6+yF+4YyUsCg1W/rZcxVFgPGR1mQOBUHMhqW74nl YKUA8SQnf1oYJyQB4uV9nN7vjxgT9tkvAfzDzFCRWTnpLb3AnmIYG4B/Row3 srgGO55IPEM/JGsgMeZQJ64J9VpnDRCfGrPTcgMgSsGA+IE4ILSz7c70O41K HeaFH1AJjeHLXTlgvi5CthnLyufL3pSFYUVaMp5Xj9KkbKVd2GI2EIb/aglX m/SUmZrwmCTHjKX/TqSQRmKOdWFdtCe5Q0snlFCswy3ALPdgHnHdj3VIrlNW 1XwOQlbV0Zn5gVq7xAu5Vd8jprXUOqYPy1AyHr0bYQesBiQxqQ4B3trqEBCd WpWAsZUOGIK6UKj9vCpNKnTUyDBnlV4qWY5wHuAdZNusDlNm8eYe7cy6mQJC l/WmlF7HyVR8C6GGpmhSqIVu6GzEJWXIeY5LZZ0nARnZuBh6TQqdyctFcha4 fYNgJBQjvQvFEowYfB0bGiPLhGKdyQF+CO3shNWRqe178ZsW3Dq0a3Os8lTb p8rc6Er/xhZkMVcdYmhsy0+DSLs0SpZA7qLuianjieZhGWCMiwQbkSlXrBTz fLgxvjAtfbqlplm54AOI9MhTrD+oiQuB6DrFm/34Om47JvlRhinV0zE+fRC9 mxejTWG24TrxxBM1a5jnbBrpNPCb/UMZAscFF1xQhm2zW0MJLOOyhFxsC2aZ eQWrnFulS4sdpgXe9SvKMFAeu916hiGr94xa7D9Lq84NUhlnGgwpw0wfjsmU aRONlDAaksix/86PufW8PZNptlIGQqiPCMw9Bu++i+dEEl6wWVFdErHphBoO NlH4r6/FFlkfIsFepJBpaFN+JJNnlFAD0zhFiPQvC2iu7Gma531jEXBNLf1Q miA7Mn6ID6CdLwSKL/Iy9n6RZ5AY3WW8DJMfZYREr1qPwl0cQixLyN7IZPwg L6x08YwlPDvKmdoPj7IZHXrooeW7Yj9HHHFEmZWE5B74pXF3RCQCIoGJPUic 0Jwsf27U1BcWEn+/6oeXXh1TkwGfKYaMTuDig3RM4QZhyz9TaPcM4oKfaYxp SmcEECut45WNG68bMIS8hZ2rgiEmeQjZrWLIDwAZBUOAuRAYghjdyT0ahqTv utmppwHGn86TgmTjQLYx+JguIimsu+66Pdt3alehiRQBQdQWmicX/tt99tmn nc4cGQlh6DFYw4dAGCOE+SieUMlSp/hwoY0dEQDVhLC9vBOcoqnPcEEct99+ u0ZdB7QyGzfyV2hWRlCWRLYHXnvttcq7pFBmPCGVBQMe6fv2C3nCaUHehQY0 SXbEok8Rd7+sR1PUSNlX1j1tfEISQWk2Zqky7l6nEe3lZQgUomQFivjhyz3U RR1sHHvvvXeRrU/jZRwHUjHi17nnnlu8MuAI+wdrd48AmWNO/PCINIH514i3 5cdFkLpkAKNaCHQxDfkQUXVCl04HYkZAFQxUA7re6mVorkKXJiOkUJVaEZJV 75UOGbMHZwnym03IDQOm/PTWmn2JrbgvsZRCh+j4m70Yyw/cmOvhhx9uDLRM RVP+ElIuo0eeE+N1IvyYE3ujAD5yCzmxKpMBfVGQrz8DXaqT37uw64ABnYuE tGPzXHuiIuzx+FbBEVdYLAvkc6v0x6Ocu/0p8gE2C0eZ2uHINgfcRd6rfcoO 6Tx3xWfB9B988EHxbXWIc1WFRJZJyBENJC6IFf4uU2qI/MqHNjtDUHT1gOnH nPKNW02djKugvpRMt8/zwSfjAejmcgwUXRQo36OO4OH1PKCzEkHzFgIxzJD9 9GSFpv+UGzOclryC9CQ9OGinYIo99tgjXfbqLP7jNDYkF9LpeQPR0E5rW0iI Ou4fUwTaiiuuaLRpZfGs3emUrlMsEEYlzxu5vsJRigqqHnGRbi0uXcRIw6or 1B3kx9KWQTDfACxIJ1e0JHd31mMhLl2k+0LuFuUiOLOFyPhv0ehwTUVKTYvA hNbHRy6//HId9NCnhzE8Xj0kSovYjBF7+EzHNTHdfrJGuhBavj6498SiRSiG UsFS0dLeOH2hBhz65ptvlnFGW8UCoR+S3yWndEuG3vSkwctY192sKs9O05ig HVUnJkQZ1ZlfjKIJJF/tNwt6RWJ9bXjxdxlvHOO9VE/DgAa5ht0JOcwXUr6R 10JLEUYWygjKHRkhk+UeBjZQYgbih1qBkitxijkonH95MGYIlODUV30WQXQ4 zCzrT3U6nn2kiGipLGvv9UHFXyBYMCsSPIkVkhAJrTumMDSYmarYwfT3NK+q 3dskxDGClUKnhrms4a8MxglFuMemQv9HwUk7yX7Y4RDATBB7T0ALyzohpxVu QeAyawmqtkynwfaTfgTusGDi+WswKVfxQ9WVvSpqGRuI0QVNmM7cYLzcKMKF vIHM+qV6JImpmKpebqyeSNlTs//bw4Ga49dT0fLeOEIwNYiK/utf/1pNdchO 7gqS4LRslOSun4EMIh5yIcEuSRG5hmWOxkpTuJImOU8KGtdJJ53UgCDFSiFn CEGKlVJU8wAEmcYrBCEYEbBFLVPpIoIqyk7dqtoPQUOYZ6JRVuOqoCCsg74V 3eXG8WSbQ/nV3noSpVxZjyVtESVvBa/YZZX427vJuQ5L7/Mm0dt0zssRRxyh sJc+yvISwo2kXPJvzXHcYArGJIrKxxJKKkhl9xpC6zjMqwIZMgjNmAL0rtDn yhqkPrNiIqVj2uzXZ1pkF/dC9hmPHOV33HFHuWDi1JK4aPrpgvruihT4mHL0 tz1Tf9xlX0cKR/BXy548VDzQPv+a/P6yASPQIBRwIWKQMNYRUyIFfU3H9Daw 235IoQxfGbjXuqBYKpq16Xt5PVLERS677LJEzJGLxOSwjUgpurmZSWf3zoAP PnXddddVV2Ui8IkS4BW4LNW09KCeA4bpLg2rckSDsn5ENEiNFRoUVs4zW/8b 0KDVBgu2K2yGhnxqgPIG29u1AvwR3iTWH8KCeWaq0AEBE4wBm62i4Oq2FDxI xEs0BJmqu1TDpIQtRYcb6Kx29iev4K/DeSjDhmyr66X13ZUEQkg+en6UQAZJ 7JliZqWgKfxNQAan0Nkm8aRjhQIDlU6ThXnrHPI//vGPRbTDYY7MRNLpES3I fh5nWsWpdUKeneSjz0EGgl/Ti2WfjUAZGaFyzCY8Hh9oRwYPGo6t0NDIIsKL GholN4pDg7inQPkTTjhhwNBQWyGOGhq4hx9T2XdoELOgRH4YlxUGMX1o8kkY MovSE9zE46FtDYlU88KVI1D62GOP9UnB/FFHHlIUDAsiwfODecPu47j7XrnS fgmgvILxgY6QT8wAa/tjjCY8Zn3DN4Xb1e4bTkzROBFEUDdOCM/w4hW9jF2U /noxxCCNqu+J1RDDQP9wcyraQAcBQZbMw6aB4v9xoBD0fbtZOVCkSRLIBmcc qMpxFso9T2xQkXXOzBusFZixoljS9LDieK4M9bPblPq9QQ2qRwgTs48aY17P D93pTrzmcYNJ1Y2bQo5X9Neph7ZKXSMYHRk/g8qXhk6hEnlLVi4bNLeqQ1Y3 t+gB0oGD22duachQKTz4qGSkBCCstdZaiaZjagya6TLcyRRlhRdWPBBmzhEg 5IVUW8SjKORnhGHSkY865caGqlyk2bCEQE808sX1YxQNSmzMQbVXT4hVZ6nB nJZl3ol0z7gRrABlcG8MXJ3Qotylyew/pBohpVxAxD1Op7qzeEYdesBQFlae YfeoG3pZvQAfyRhW9tvf/lZhfZqtSLuVoacVDb0gwaAhPhCjUBURE7ed8D5J 3mSpG3qo2+VQI8WZfCXGqVyjnM7wFK+qjMkQmskrF/UfcMRAFpcsfuXjXYhS pxqbTPLITJW+CRYsCAJep4ME7rzzTjEe9CNtjNXAy2tEOQ5k/kXMIJy538Aj EPBeZNfam11HAKx2ZFEeNPelw0AslOP5vO+++xTyXHNAUj8CwOHnZFeWYcYc lQCUfQZydA+AiKCoUgEwWM+rVMDdU71MdjFTTIsGEpAiQiwji0NURKJtV6Kh pPLu2GZ1GpMnhi31Cg/EqKeHRTkq7mVCUojjbfLZyLxepkyl3SOsMQ42RjeS ug8x2JSxQ75a1m+wJWGxJnsixWSsw+ZsIzIRqFeDUzfuCOAo8YbxFfwrRBkT UsGQrezNEC2F1ReyRK3icJIL6sdfm9kJwtNYK+SNbaRoigRmqqOMlcZQ8zaO 64T/RbNnky9xh3TSxznFSI+lXQATier9lKRkM6aerYYTuQ6nJq2U9lPxI7SX erTLv5jf+PF/7OTKGwq8wM2PfRC0iYaIzHrPPfcs5xhCWhQmiLQkUkAhQzWH LS1OcsDki3XlLW95SxpIk9VFDiSgirbbKjmo07ZyiRwUkA45PN2rasw42tbw eX49Jci+BmPH1T36qOdz/HA9mxxUeit8dqcaW/unNZOByPorxo6/DlUFLwwo weysmFg6VrbjE13vYYtHWiay0id9eboimVrVU8JZcKgpVqXmqKqD/RHCCdsR 48FR0KggiPxr5ihiPFEE9gk/3CpNXQVR9BELlFakhhIIEH6GV1XoEoE3tgpr k3qfwCnhYJbjQMyr0+k6G7WGNlGMqIN5KDk/rgmeIavkHegI7OMjYUhI1ayt LcxXVHQ8bGL1SjyFDiWK0SHe/EBlmUrCgMSGo6xxRi2yFbAVTCuECTWRTipW Rm1KQqD1vDBKo8upXuM6daHUzPC5SOGBu8DGQZiIgUZc4yt7habHiaCxHkgE KXlPQy7D6oQU2yXMacQiesUg74RSVCkFH6+2ADLOwr3RwXn9KCXbWFA4/I2M g3a69XPOENqksgxHL1lmVBNkNqGL/J8cbXUyo9KgRs70IoeQb+qcQJM73xJG lqJwGK58MAhPOAmME2TtrujdbiYejmfTz05LxgNSyti7mhzS7gFaY8giVTfW 1CPMtG6rgsaahBzKtriIY/0sL2MFosxAKhoGWuI4wwBrNIW1hBz0M1RdiIYd 4vH0HlyZ+Ugo+CGHHFJ71qnSAGLE9hWxNNjLO42aYJqMzrTTKSmcX9azc7qd 1gn0G5T+hx56SHYANHGK8HMaT88wTiWLK6MAMcCWiEkg2gSR8Stf+YqqsfaB GrBJZB6GJqpBdddcc03L+83yitbLfEef4owukwQbjGh1QynfIQ4OqIiAU2ND 2jrBd5kl6B+mWn++/4Ci64N46EE0gt0eDWQQP2fwWMEhWcnXdYOmKUAsutwL sregdpruITF0QJ4NvArcKeCehR9Iu1BNJLEaMoVzIPyCZLuf8sdgjcfwZ8Rt ZA67V3YDdGswx9dYQIztFwsxNjozB6zbQqv9FMqqxv4Ew/K5g8dGgT1S8yBE j3YsWQLqO1255JJLyjUZToWMfNlll9WOzY7+aSxWrvcxTgqylxWTrQJxbGoP KByIGUSQKmZwGBmQq3hVTLAUA28DWupMiCv55FPsok32pMpCwkh+MABb1DNW JlNgFg4QWAYrt7IbcdBR3Yqyvb/HgRY0rfPewBpGDyQ35b4gP6YwadrlmwLW fP2rBFBRkqPO/dcULyR0ht3F09CJOdzW6VW8mA0vigE97bTTPjc8Rp/s8wQW RuAO/k0sIegiNo6z/DH6GK+g9yOQISca/dQhUbsZ4aOYbpR3B8zQKsh/uQPI Ygr7BZHGyJRzVsFG7IR2JCo8j2hXP4qxJ+e5H9E4CKcwcw84c5y2SpyyKUHZ xlkb8HXbBCgGYJOphzy+2mqrmdicz32UutoJayTxpUBFqIDwBu2qbCz9bWlt TTWiG7YXv+PaDpFkXtpAyVZUMfIyzwhRuPXWW+WTVwZJbNY97vN26eXEE2HM RYIzMwFe40l6GrzF6g5GUK0ay9Vg97n+uhsfUwiOafifrUew+CJE4sda2tTP KQTRm4SkukTs23gZtMrKQH6BjfwzSrsLw7DlQSaxPkEX7L4gKy8RIFoNGXKw wha1hliCYdGSYplFzEClnp1Vj5i6iJLYYTeglR1ms5moxXhT7HAl37E6jPfA t6qVSwySy4AompE6bK8rVIuQqD333PPsReuuRoZ1VOEw6/pkYYFAjIYW8F6R x0ATuCabdb+Y5iGiiUbDw3iyDOC4xy/Esx133HFhxx6SxJIlaR1ejmCDprye f06xv1x0HLtLPFG1ksRcyIBFaDOrkDHEFi4hAwkAsxx6eR0yVvfXFauHN9og O7MeD9qbioagzX1cbLAxDiqVikgAD7WoDa5JzHQsubnyNlIdRIqzAoMlL7NO ru+4Y/Qp0xZ73HhSRHWyb8hkr/3Y+NdoDvcJCwZ8lc/wQ8rFKcai0Wc/tvCI g501c+7cuSUesaIJj4r9x0xKmU2yYgASmTGkJ8ACgz7L4xE2+G7vuKEDNKGL lV48iA2qBBJhV7GVPh4wUDm9QFobeiIo8ysHXM9KtyhUECn/RzbDd8fgoXvN nz9/ED+GkBGqIwapAh0RXvv8UMZnCBz6TD0Gtb8X9Q7zrHJEYLZhrsT9vQR/ Sb6vQ6MO+JIniJXapNAdA6oadCWA9PNYiznpbyvZlzVosoo04AOJgyY4qG0M uW2ZAB3CFZlgnu9tEGKguBvjWXKCjbi/V1xx2N2rp/pniFOFZfHMcB0PWh7u GBJJY+ztR4jNi27+C/3izKSGgmC1sZrIVJ6bGlGigl2mPMMfbAtMyw+JkQ+D Sp9YMug5LcwyCIFBu/76698Q0DPcMTMxzEBitvyDROOrXzJtEsWjSD5JMHQI mxw1xNTRpqBnxs40KWEc9Ybg/iFQxRpJdzHeC1VIchh2jNZLVBHk5GcV1KLq U/4ZYlM1wU2Ge31AFTIwPH94VHlxiSodhNwJSyXyVPe0JnhjW5lVklhifFqs OxwKVjaJ5UXYP6UeVdGQgA6Klytu7ZXIzQ9ZoWGv6uneuhJ0s6QZW1TKtprT pMSH0IkRNHGjz0l/W2WWmE4zHxImQ/bzMuU3uzH1eszXgVYZE0ko5I/ly3Cr k2DrMImvWbkfGzCZjYrjmgLpAoPWem1w6hlehjHOT8QtIr4a+PZQafsr+LIZ NE5ilKKtI7ZTmhS7dCweUiRWMSqNpb8TKfcLP+arTp0xhiIzmGJ3SEBLRDOH vaTjaYp8GAiGkNgcxhT/arr4Geds+WOCY/CS6THM1gTK/Hgy2UAQePRYqTsO P/xw/0IrDkhJC0S3+DslJKxdmGLVFozH1DQB7/uqwyuT04Cnc/zQg3Kd8WQn wKenOvng2PxJfrSrZ/ifDa/6JNAAVfwk6kj8JM4GfmQBUk/CSKYLW8kdd9yh ZkEYZvbYeexb8RWELsO9XmEtg0LjK7DR+AqKtI2wRg6PGASgxwBuIq9Gjh3Z 0LgeQ078UK/VhJNeD22YeDfpQCGwQ7i5ci5jx1vvKLUT15k2I9tJ0GLAuB59 9NG67egSSTyPQgLCgJY/seZwwjgf4VdEbY6nv9lgR/RrPokolykreneOtkqT SyRYLHie6qNIMssIJ22ofUW+xFMm/JSNUnBZssdsLOdNPHGkRnjl/+qRGif3 mWCwdYUwGWhxglUSNfXLAY682pM8XThEKAIhdmUdp8jbDph93KWn6hsqCZXJ PpYrTybVkB/KtzDLeWlk61boHWUIsDz3s9LKj2HxQgIoP+bTyoFKFz+j2JY/ JuICD5Ue4/4zxi6ICE+DveoxU4wfIW5j/tWYUUUjAjp7UTGRVE0iv9QWQR72 eQGvUIgu8Hn6ReDpHD/k51xnPImtiDqqkzXY/El+DJWesb/KkKtPAg1QxU+y oMRPsqrxMxZW4tQHtLxgZcmFmptlLqF7xGFgFYmv4J1ZsGCBXiF0B4kwvsL0 i68wo9PhzfkxLjAMHXoM4KbFa+TYCIG5Uo+hKX4veMELyhGB9VRpw1j5pANF BDh2n1w5l8mO3QW0XcYt+MrnhxtwOlTWgjSBlJ4flNO2T9GzfF5pMy7eOFkI 5dPDyrGQ5xpIZSmma0G+j6hWYZQWRNgEr+Iclsqm6GXsZv1UIM3nTrPgLts2 zNPDl8vX/XDkVEMHQ8j3rSZIHyLLKyu3+9+YFTo+GBxibDKxb4bOhpBNAvoR DsUE4QbajCSlG9IUblLOFmeWcAAEVeEwnpMpJLh9ox8OpUYiA/tGN6PNL3/5 y0a1dB5/DJc2Mh988MFzvcu4zXgUwrgKWfURhpjZaKaf/OQntwrorJyEPgid TBBcWA3ozGatfESRYu642HVo98I2FMvjddZZp9CRLnF6CYuYc4TFVE92uj7a NwGPMVNUTPUssIzZyCItKEGXnGEqo7OXX3756wK6inptkv5VT29AxCPKVKc3 4CRsOL1BcTjSeZG75niZzoMmPEIxA+gCjBDBn/J+M2t1pIFA4D28tvqxw0An gsaMKkNko0e1ZpdKvyzn8PB+pjLh1+XEdBnJbhnwW0m3LPyyojYdwIBpkJaw fhjBNHihhWLtlK1DMfvcX+plLCI4cK666qryPNbpKJ6sQ3EqQwJLk63IAYcj oHomEv9/1oHEGM7BJErOSBL01wZ800XjS3UHKuB1jQcqYKigLB6oYKJCahb6 njt3boP7ZBjcc6fZoYMXEA5vvvlmudDr0M+i7qFK6Yf2z9qHVCcDaB9UYxMl DmZRUK0YBbRLNGdwZ5SkVKDa8nDUUUdVsRxC48tFh072QtBOwrAW5ebjEIRl 5HRXiWqxrGxpaNtirnUoFrNGUMaoiitmtXqURv6L74swtTr+yw/wGqyfikZy 7S25I23ubB4wCaGhZ1Rig/Hc4xKwyz7M3/oDC5CaBziQhUZsQjjmQE8zGvOw i28bm5IUFDEpZw8RPIiA3fOcGzGJ8oLMlQUA/IgTPRt1WIshNENdHSY/761r qxJ2mHPOOec1AZOVlSweKeDpHwZhiIwqhF02YUhZ7JjODOns2bOLOvToXZg8 UgobhhSu0iBjkmnZw3izjq/JyhlfuFu464cYlBgF4xqrj4hhCQKECmIks/RB jHx3BJILCRr7iBiFYClVPQzL8C7GFHETd09SFQOqQdGQ8rguQiHvPBjvEbXZ Ms8u5U0r9EACqJh+38OGmV1caNg2e5p8vHXdFxMJ+C4T2hHvRj3SvdX1Xe0p KgEz3Qgd1+abeHSfoS72GaGGKALvc/5nMplWsbppQxCchfwlHDU6ZN+ZWeq7 dAb0rlf465iPKUOQf+SRR3au6b5iSdmew7pLGMkqo3Y/DyDAMwNZwhFJXhVw gJhK9FtPsN94CuaAV3ExofJMu/vuu4veY/6GxIctjNPwgUQrfMB2FMlu/L0Z H1k6R6RBdDHUNSRQr0OJzq7TzkqTzntQ4QnGepbpMT8vC8aEKYi87knde0V9 xzVqzG2kAe5mVTpu4JXhgkhQSqBpS+NONR1XnIS2y5DLa4ReaztqZAD2pY1D x+kYx3j1SN3j5eAheSMFkCd2g0XrthLqIibj62U9v/HGG/OKnG142Jzk3HA0 xLBcHmcP7iJh5WIv0xxnO0RESYObgm4TQM1EUHzNQqACxVeYVBn6vq1r2zsq WOIgSIgDlwD6XkAFlie8jeuvv34hRyzuH3ZpEulkC8XI2MjLojL/7b777jFR MCEEqAM9uY7ywQwIAlxXXnml3CgwLC9uigselmSUbFn+DrSHN3iT+AKR4dHU DTl5sZ1M+zQoRiUEChz43O+zzz6jrCCXepnkUeTKmPqZr86bN6+KkpiU0Xjc WErz2y4jDLkWLFjQoCtFrKA2YANuxko7+U9cUGRZl+aIjRRhl7skDaW9Rw1S lYRO3KdESqERTfK3zsV3WSjDYkakwwYBKfgUALAnCi8f9ox9gLUUjb2bmjFv r6GM7BbNkc7CjA7xI1KzDjOalsS9yOh11llnHVffdwkerHd+JEE2kYxRVLR0 YkmqtmYjPtqJL1GOuGF0FpOpV0RtBXWygBETQjSH4ivYY051Mo01LK0xbM7N vNPMk+BB3AysU7bnnnsWDUjYKVCuNlZsvfXWs+AymtHhyK6+eEBCVfyjEXDE QyVMbBEjfYfBAy4CHQnEpjXKMB4fW48HhUYyCVAD2EkobYfQZfiJjVht/xc4 oRN4jMOQZ3gv8Xgpkbl2qJxwwglVJOCLZhNPRAIBFb7DvkQCYSINSGD6ECZf Rwyb+OsweMpQDE2M+3B/PBC64gECpTTujD7dxWhN4UGpGKPLdf78+REFkBIH lFRQgFYyMMhZdpKYhz6BJjqti1qqwwR0qu2rNl4NmFCmd3QQ3vCeftEHG7GV 4Gq9QU7wmLgcKNmsFqWIlLHPmDJatt4jKgMOSRwrLgf+L5WPVcBWdnEDPz+z SgDaWGTdryUAqT06HJkU68fU91nnnutgQz3CRH6Vv4LcRhm7wWykYwb+Crdb lICrkfuXWRhEgwBikvvR9V1MBL6se5zxnQqKNbzv+GrYrMlV7Ttrq1QIUxdi 3yt7GdR3pF1EWrYNzkl/c8DeDPV9M39dOQeQV2zZOqpv3/MIxHCXus086jPr kkjH1kVZyWv2sTSEbC7nxeoL5GCiw2RNd17tZdqnbR8o+vXFQSZJJ8kj02xx qQ2rC1L8uJdFS3xdd5Xjm3raKWXdXSd0l9Xq0UcfrTIvTAmemLHU7RpQQOOa KPfee281t0MXBe1kzkIDp/ymm246sj8WaFS9i3nRCCPk7iU1PVa+d/WWIAFb sl4cmkQ4P+WUU3qt1+NJ8mSB4ypcp5lKgYTZ0ilIGpZvbQEU0bITRqggUIjU x5S9xl/HrawwZnvnQ4sPFYyPaN3mekQFzBeP0BCHcQyxPacfCuBfcobp4Eq5 QxEcv/Wtb31w5lHwNW+S6S4WZ3rg2qHJBmG2TohjC+QAIa4fCrhn3UWC2sJf 14kFxC08/vjjH1g4FFCNdC91KLjam4TL40vHbGLM40WhycrWbKFAEUURBQRC eDKbhUUBwiS+F6GAsdFBJEaqA1AAwmCuuVJGBNKFYkngw8T1vzh8UajQaRja 4gRFmKQiu7q2NpCguGIsjzspF7LbcrnJW6lIFWIuBvQZRwLBZt0+TyZpC6EX IZPqCDDgAH2kTs39hpdJuttkk02K2HGMV2eeeeaAVW/UTmLblNNpQCeJJoQ+ 8d6qk4iKiipEgyLSlNfY2tbcyWx9lYPCCGat0E+C/dl4U5Fo0PzxKZuYUWpI QESEss0YR9VAfHAudh0+tvTXUUCwsqB42RxQIuoGlBDMpkz6Yykxd6u0ulgL hQ6xIAwQVNG/u+66q25z4rVeVdtIWY1MXJkbMFNhhAeGN4hv87RKyUIxlsxE rRQlhM5x/vnnD4uho48+uhZDr/PXdbAzHOFPf/rT4fUYklmZ8FLPL1JGPLNb QOdAyKgqExYpvevQ802vLUWfED2T7NYM6AECTHUV9BCQwDqGcdvGYBabiAQJ Mbaep34QevBqMJ2tmVLLw8oHTaJebZ3RntvFbOy/8siDOjNQy7e1oOipvpYN sjD0iwIQRnhXuStsDY8YgeQYzsqywRZx7FR22Ujb3wZ7qbqOQk4QHH1T19Go EdOM8xUKltNJs9RrIIs6o+e3vCqaHVOP5eehhx5aI3QE3nn//fcP4H3KcSOL RcQm8OLOxqelAEk4NvXQnw6rh1cT3ck13ckuAWH5qdm1dolve5M6A4nF7LTT TtNuJYUWYvtctH7REqGA2/jrUB8SA+76008/vYEA1TXEW0LYYtewBfvmsdqu fcfL5K9hxGO/PD3bIvaLEG3utvMyxcp29w/3Xau8ejHmOdbwp3uIRmY7LX+A 7sD7uAfrdLTvOmRoKvoWYQg4tJ8bel0UPefJz0ivcxYY2dut54fUd3znAGM4 XYkWrRSMjZcxnFzspNxmm21qOcv13hb6LVmveAaOwNZzQn8rZ74vYn+1hU65 /xm6hs7u4o3A+lg4uNibgCqYozvbybyuZ7feemvdmnKDt44XQq3bahC7iOJD 0o/RusgOl9hFGKUtm97F7DbTYNg0O7i+lwqRYucFGiKST8v/+qGLqUZd1Im6 BobYm8MzE6xi11gcTAQb0DXlpkKqRyYqJ09l9N4QgNBRKpKHh1gDvudlOiLN pB/3m2VgUezQnyrAKiloDbC8ceONNw4EltZNVG8CVuZYDNCSzA3oH3gxSERx 5tGDDz747Ao3CNJa4zGtywegfab1BVqqP0nhBwDtgn0V6LhLar311otAVw7D Fp5xIQQ8Kxe9GEO+mw6yfIN6nSCn99aDLBMwxnSlj3Cwix/6M0Lc0R5h7Gwm Q01/ZgCecjym/Sk6Ao8XJ54bXwc8Eqz22zUAX0fRP/Kqyl7mnstnBHhxXEJ6 Q8CrbWV+ZHz5c4C17El5IKZk3vCw3uRl8igSphIBJWKHIyGHQ6yOrOeNsQAY w0PwwBv9dbggDjpiDkxKfc+o8PZ6/mz6PD2ATKNsuB0OZHlGCAwTyNpRyn6p nbtj0N1mTLV3Dw/0LV5VY4TKZjLtygHoytHIA4BmA6CvItOA5k4hTUrygh/x oOHhvdWrSjpCfP3zn//81ABv5YzIBniVdU4jhWbLz2GVPxxx2tn/6GCOJ+lO 4iiO19133708H0PRJGQ87A/rU7w1jNNIFORxI2cFQO3qr7DBB77PaNk6PAIJ 3OZVUTyYDYTOWLefHMDEwGIKw5Bgyp2oixMXdvNXZHZESTXt4F3Dg/ljryrW xXpumv5KAUx89viq+4P5VC8OB7CA0d3jbIre0wOGh/F2r8qeOsqRU03kWzHA WLcAN8MI/WDo5DJBd3cvVtIqNBr7/ztHhTDn+4p7eQm0WCGAWTmBtwHMQ/0N At4pYofWCMD8xIGB+Sg8wx0vZbSfPC82i4YCph2TViKOjDB8P/WqGF/k+Zg3 b14EBUsCuYj6g/I+f0OiN1a3EeD4mVdlnktaMs6xbIADWY3gu/5wyH6gmEeM +Ybc/YcH5edeFZOdqv7whz9cOoAyHEUf7m/I4I5WNAIcv/AyoYMg4ghE5ezS AUAwndi4z2QfGYg8LmQq9YV4ToCjck5oAxw6UFHc0HRWPwRqKDju9HmDpEFG Ep4xR/Cozw7AYLTmqJr+wGRnxVSp5ZCTSgGFrCqYXOx+r+Hh+5VXlXsGW7zB MSuAhsRMCHZ/0JIQr/31ntAp1Xzz8MA8z8swvmD04jhBRYoy0SnjevjhhyVw c1wQRbig/RRBVr/xtB1FP5LgUSqtCLbjbZXtw2XVvtFcPKXQ/RNlVbz8qnrx xRfrFCNug2iX9kpRxtbOWV4HEcZPw0w/XB7Uwaoo6JBjKCMwSmCQz4WyDEAu Y+usypRAnHsGRj9Oi7AyNUOUGFXwjcu+gBcFk3y3mVbywlDv05/+dAkC95j4 uyDkzeTCxKGHHjoRqvpZECW0jqx0px2FDJ7PbUg6Eh2yky1VoxCdx8IvLNFx qDXlBD9ppBX6wWXSstCjlJhwsVw2Ve5b4vK9hSmrHjsti6JEA4s162be0J9f papexRnEPVsomJPGLHO1WSnoR6GO7EvEMEVVbcxA8NdgxdOvRHt82g8HSD/o jDroLAJPwXY4SNUWOC1cJVA9Wb4j7XGvPBL82EFfoFmQOXE80Rhgw/0U9yeE MkxKvKmj8FxqTpFIkvG4J6uWzkLDJUOUI+0aevKnUiqzTvzx2i677BKPfiJK ijslxmeZQUzl2R577KGYpcZFs1Vum4X46lL4qMynaLpTmplh0/ooobe0d4Ys RG4otY+sQks2s486iMbBb//998+7i/8W2X4S1WiRLtMnPZHOZ5HS+ZzkpE5A eZFZpu+nrWeXeEmRqpDwbrrppjp2KabCho9eBtLNQVKOpxOXb5svy9D/0Z+5 U0A+XdOmpJJn5qmu7JIqgwcWf3N+OdnEL1NiVcEKY1PGzDpmqW+y35p30QNj 353gy3rSyDn8U/UQZxixnMav+65O6IunVIltruJPtM8EJmcTWAJAzXnQiW0q 6eATfPIJPvl/iE+mrEz2hA1woD4mtOnHL7kndYYf1Tcqv+SAEs/UPzS/jJMe w4RN/KKOWSo+qyjK4+rS7/8hwTIm+cE42wl8biZ4ZASL+ayysfBuPx4p9yMj TDnehMggid0gmqzOvwf87K0hHVfL/+KyBbXcTXiZ5y5Od2Pp72RSWvzddLFf lx+eojF/jyQkhPN338vJPpmxeg9d1lZ+fR4hAJ4aXyEaIn6K369//euWP8Yv DqHpMUK2sa+WA0qQJyuBHhM6zo+NNpP+VX6Udzs9kTggTek9PmGfEqAe096D E/oWAZWejt6d6+R0VJSrDn69dgADnHGnRQyOR71spcj11IWIJPSz+G04gWko egUM4JWLr7AYxVfwiFV6yJbefkPBUBmv0VDoTEM9JlfIY489pqFAr/b+pcvz aaT8AWqiSlf8jP40UpAmMW6RPJXcvAtou3TMcgW/LTnpZFgezDvHE0ODB6MV M1tIBKGZOYiBara6bt4zqwcxUL3ryvk0jvC/iIHqUDTy3Xhe9fRz5qneT+eb kz1CAj9GAhMm9lTxZeYCIhO682g8M+0hjou4mlRoGOlsK5YhuJnekGVIicMw i+KeoeaeXr8u4mEsRWQNNg8pURDmV98Hnn4sqLYg/63JkNzxtNc1Kv6vIUPM fotAhkruRTCjmg2H/nQyyTQag1aNRKD8Y+zAV69kqafGEJZJHzMvLiVw/L4i LwVH6lgX8kQINNJdUdbFazuxO8q4TP5ryMk0rJ2ziZD32GOPvyUhqx5Bs0TD 5yx+/H2CkIci5BxUmgMwlbKJMIxulslR/IGiZeQuoiIjLUfvu2hZ8TvEgQk6 xZB0SSNrskAIJGxwgHwINiAEtiHvQzNhT0bCTvAg7oAznBgaOTRQosP4Bape EkSdMNFOUc1PUPFQVCzmhgANR/LmIwETXsvJIf0J+IP+BhoUZifTvPKnFLw8 HMVOla4WgkZ0uDcNslYYv3zOqEQ7MY1ofRDaYYxkfVjC9Coy/F9CqkLgQpIq EOOuq5IqKuwQpLqaEwghiWTQ5Rkky0+x0jZY/clUO/9JFcZqDHHfe++92pAT iXR2gEFHIkV52g1fo2Rfq6NIHX5prFQUqUhHJPQlTJF6V0dGR/kWrcA3oTRQ 6XgdlZZW1eg05zedWtsltbKI2LgI7FFs+91DiHKOBD8UrCybCbsVya5VD4Vc R6KnMlnNmdG+aaxHORNBr+4dIdKEKEOeMY5Ym5kX5FDqT81K1YEnmyJOaDTS rRMS/j+m5qlk+CBkHFLwfdcpYAW8bbTRRmpuOkEv08h2lcObJugZcRdEnsCJ brvttvzlWSU9s1ka6ZDq0AT/EhdMNqkM+dKNBE3QBfVl+NJk2HXXXWeAqGel bRM681nZ6DHm7b333qn+fvvtVyhAgnu2JRFdgBfgwgsvTDZG4COIibmsVP6K LuBCyrniiisG0LPS7SxYsCAVEWZnU1i7DP9G9EzzxqtEz8x3UDM0PU9Gek4/ UYWtPjYKphnq5eG0tskkECF7UxfFkl1eyNy33npr0UzNS/cTIpJ1hzbZ+ctw 8c077rijHPogSKTdqdRVFlVS63XTL/aJUyGpwHiaDYCNg5BmSJugzwRKTj+i CxW9Qyo2e7eHm4qaZbTEzkubaDt8g11K+btzYorSTibEbCrDqcQ7BFTp2Kgb brhBhyjoZEKu4SL1RMj4HnV8TNguW0fIWCxwY0T9UfKv4aQYWfAd7yFk/uUk 1gl/pljLaHfQztLIarVfI1LT07wsipZ6V0wrlkVG9FrvBrmntVf0oIMO6o/O Y70hxog9Y6yv/XDJOHOuCeeXjMHfipziapNNNkkJ7xYBl6TuYGYgdguXhCkh SMIMlyQu4xEJ7FO6/fbbB9Dlcf6GIulAkPYER0Qu5a/jNydcDkjOPvvsMQKO RzYbtEvkcRmwU16sIzAdZ+oiOT1kk6tDmWIYISE/RrEMfo5ozNQwkbYBx6BR R6uIhShwDwIoJx5OFTZEkONC/JRmlBFhs4B5PjfYwKMciwi98BCmu4kicr9M p+KpxJyJvMObrnNQWHzYOWMccWQiHnYctA23DudhAemL84YFQDiP4spUAFjM fHT8fpRiSd7wc/+Vm6EXs/Bwb4AYFmVK7TAQF93tYEaHpQF5CQKL5MdGleGA ZbnwvSD+wcm0yHHWARcr1hIEHhXeSGsA8Md7MWHY8GPCph599FHtqYWl+ql5 ZcQTcR+ioCn/K8sU4Se4gukr+CAixubFCPMxdkFHpPfvwgn+hrLeE6ErRx44 9CS1wD3bh4VFkKFCoGHVYsUnR4GVjWL6jbCiISBiOqwKaKcqjIoEprLccI9S EAcciChns/5UfT8/FiBg4SGgQkEe8EEkNJL2zfHXkfYo47Llr8FXc5S3AHvR ijFniL7edNNN6usnHKtIvqz1hGZB+PzLPUatqGSxEzP2XcSD3NC37zlFMUUE rxid7dy/T7h/0fuH6RPEb7pIb59ydY+mK1dAXvfjvkrmP0QfTvRidjEoVtR0 qJ1mrg+V5KkiWRYbJjFZNIRzCIgjAruTeKg+KCRXJ1FwtNEMdqCynqkDrFkw pkg0dIDMBQvVgXaKNqEIvFxyySVvnLk+MAhkn6v0AX191D4ojZXOLYX/3udc OAYAfqgGTLUXkoMUD/i7CMR+2rGnKJlxMO/1TxEg6AnBiyP7gInsh3MPo88D /D1s5uDCiIMewmFu96a/3ci1JrjSk4MWHYbUzvwBHxCzYVx8dS2ZDcFWWDzZ Dy7PAB/wQ+Hjx9J9TkMw3mNR9u8WoUJfBudmYf9a/ks0gM40b/omDJ/n0Gbz NydT1ilmGksukgL/Uh8GNenfY0Hkm0gQsnFUv8dz9syDHyyB1e9pEWZzLWG7 JJvW9EWDoIz0VT2DxA5YrVBxkDq9v+P/FqXFk/4HtbQLjQ==\ \>"]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Reversible Switching Behavior", "Subsubsection", CellChangeTimes->{{3.417837224622846*^9, 3.417837232825582*^9}}], Cell["\<\ From the bifurcation diagram (above, right) we see that provided the signal \ decreases sufficiently, the response R can be switched off. This is in contrast to the mutual activation case, where once the response is \ turned on, it cannot be turned off even if S subsequently goes to 0. We see this in the following solutions, with different values of signals. \ \>", "Text", CellChangeTimes->{{3.417837254892128*^9, 3.417837388168031*^9}}], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"PlotMutualInhibitionResponse", "[", "SignalAmplitude_", "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{"tEnd", "=", "50"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"SRule", "=", RowBox[{"S", "\[Rule]", RowBox[{"SignalAmplitude", "*", " ", RowBox[{"UnitStep", "[", RowBox[{"t", "-", "5"}], "]"}], "*", RowBox[{"(", RowBox[{"1", "-", RowBox[{"UnitStep", "[", RowBox[{"t", "-", "15"}], "]"}]}], ")"}]}]}]}], ";", "\[IndentingNewLine]", RowBox[{"AllParamRules", "=", RowBox[{"Join", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "3", "]"}], "\[Rule]", " ", RowBox[{"0.2", "*", "1"}]}], ",", " ", RowBox[{ RowBox[{"k", "[", "4", "]"}], "\[Rule]", " ", RowBox[{"1", "*", "1"}]}], ",", " ", RowBox[{ RowBox[{"J", "[", "3", "]"}], "\[Rule]", " ", "0.05"}], ",", " ", RowBox[{ RowBox[{"J", "[", "4", "]"}], "\[Rule]", " ", "0.05"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "0", "]"}], "\[Rule]", " ", "0"}], ",", " ", RowBox[{ RowBox[{"k", "[", "1", "]"}], "\[Rule]", " ", "0.05"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "\[Rule]", " ", "0.1"}], ",", " ", RowBox[{ RowBox[{"kp", "[", "2", "]"}], "\[Rule]", "0.5"}]}], " ", "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"MutualInhibitionTimeCourse", "=", "\[IndentingNewLine]", RowBox[{ RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"Join", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"MutInhReact", "//", "interpret"}], "//", "First"}], ")"}], "/.", "AllParamRules"}], "/.", "SRule"}], "/.", RowBox[{"eT", "\[Rule]", " ", "1"}]}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"R", "[", "0", "]"}], "\[Equal]", "0"}], ",", " ", RowBox[{ RowBox[{"e", "[", "0", "]"}], "\[Equal]", "1"}], ",", " ", RowBox[{ RowBox[{"eP", "[", "0", "]"}], "\[Equal]", "0"}]}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "[", "t", "]"}], ",", RowBox[{"e", "[", "t", "]"}], ",", " ", RowBox[{"eP", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}]}], "]"}], "//", "Flatten"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"MapThread", "[", RowBox[{ RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{"#", "/.", "SRule"}], "/.", " ", "MutualInhibitionTimeCourse"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "tEnd"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "3"}], "}"}]}], "}"}]}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", "#3"}], ",", RowBox[{"Filling", "\[Rule]", " ", "#2"}], ",", RowBox[{"FillingStyle", "\[Rule]", " ", "Automatic"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"700", ",", "400"}], "}"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", " ", "Bold", ",", " ", "Large", ",", " ", "Brown"}], "]"}], ")"}]}]}], "]"}], " ", "&"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"S", "/", "3"}], ",", RowBox[{"e", "[", "t", "]"}], ",", RowBox[{"R", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Axis", ",", " ", "None", ",", " ", "None"}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Green"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}], ",", RowBox[{"{", RowBox[{"Thick", ",", "Blue"}], "}"}]}], " ", "}"}]}], "}"}]}], "]"}], "]"}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}], "\[IndentingNewLine]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417780674222792*^9, 3.417780753402973*^9}, { 3.417780819579303*^9, 3.417780819657826*^9}, {3.417780891844676*^9, 3.417780925106131*^9}, {3.417780959575122*^9, 3.417780964192166*^9}, { 3.417781009262038*^9, 3.417781043962753*^9}, {3.417781238614825*^9, 3.417781253884919*^9}, {3.41778130066476*^9, 3.417781346642832*^9}, { 3.417781644871825*^9, 3.417781754241764*^9}, {3.417781784883744*^9, 3.417781785092643*^9}, {3.417781844830846*^9, 3.417781845114703*^9}, { 3.417781981234476*^9, 3.417782043195957*^9}, {3.417783346753825*^9, 3.417783371942174*^9}, {3.417783446494269*^9, 3.417783478034526*^9}, { 3.417783845666302*^9, 3.417783850943442*^9}, {3.417783892376425*^9, 3.417783894230259*^9}, {3.41783747423081*^9, 3.417837504730578*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotMutualInhibitionResponse", "[", "1.5", "]"}]], "Input", CellChangeTimes->{{3.417780745121329*^9, 3.417780756808096*^9}, { 3.417781268448053*^9, 3.417781271355464*^9}, 3.417781608594639*^9, { 3.417781653939939*^9, 3.417781662372299*^9}, {3.417781801536299*^9, 3.417781817252821*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxdlA0wlHkcx5+ct9qUOHvIyUvdIrEbyUtr5XUVIhwpL0PbrndWOd15y0sm eblWp3PO6pRznPHuKkV2m+OojlsudzRHulTDnQqzhti7m9Hv95xnZueZz/xe v9/9P3/98PijHDmCIAT//v57GxSvXBPqNtsTa8+hTiWvKe4s6x0/VLHaKB9M OLxjx2KX7pojysAc8yUVhooqsKcx5zXV7f01nmC1DKed6bPWBLZTM2mUz9AB 5i4LKqoD9YDje55bNHoaAOcHKe5aidkJHNH72SkG7yNgkZKWT/QxI2DGtszS l6dNgEPnmKZeMabAV4U/6kgLzWDfliLbMclROnBSB9O7woMB3NVf/ebC8b3A PDebzshAC+Dy7xjt0VGWwJ/PdZ5L+GQf8LO6M8k8vhXwPVfBl1lZ+4GJI6OT xZnWwDKHHzZcPWsDnPeB1FOSZwscHxQhlmbbAU+cszzJ+uIAsHpJ2eiFb5jA 1aomZ3vL7YG7+TtcaN+zgIV6V3WYfg7AnalLBG8QWf+w0lvDgIPAbQPGF38f Ri7oWaXrBTsClyS9jAp7jJyqobvV4JgTcK2xQv/pCWTF+Q1aohBn4Bp6c7rw ObJxeJ3XSqwL8Jj7rRb/aWTJtU/3sJJcgRdbfQ4YvEGW3eS3n49zAz5Md3VJ XUDuDTaPjE5iA+et9F+bXkZuaEqQymTI/ZfGEl9wx+H7UJTq/C2/bzPEj9U3 ygxN1ICJjESLVyzqGk+w2HKhT8oTdgMTfeeuG6TtAZYLqYj8ucwc6rVHKh4u rOD8PtvsWzPcAZi/04kR8LHjJoiP/zV8vm77NmD6H6G8m/N4/n3SGfcm1bG/ d1TbzVdvsf+LOuXcVtoW4KGo/JQKa3XgEC/RfWNl/H7+dMqbXFrF+p8KJOwF 7l3YzyLyNkXG3gjxqiJuf+xlvC9SipZnZwax30wryyyOtI90UGBzwkwFuJTy 4Z2wZvSX1yUQB4jQv4xCtcAU0j46no5Oz6vQD9V+qeXoXdRjXdu2KnLH+e5L yzFppP+7h57IVeQ1gh7bVOKU7wO8/+TH6TED3qinoDRMkd+I/ToCFV6akvSs Ph0paWrG87J4fCpYHIt62pzyLZiVqMdj729q+0l60isoz9ihqIevLXpkl4p6 cszq42toOJ9aKaIdIOmxvO2rLZvHeTo25T78pzjvztdZV3xV8f5O9bdq6SLV i1IarhvxKsGPLgXDkpVC9MMyT4NJmKMfpdoll9qEuI/ebp7rZpIfWbFL3UFJ 6IeR/H2zucO4X6u8XQKVpL/B5VX7WSbqrxJX18QEoX6T1zSjr6g4Ly1xZ+52 0v6cCOtp8yHsL16mbuJIUP+4vvrJ2ifYb5JWtlVIqj/If6xAEWI8OXlHWcY8 1qf/4i5224X+aWQP+Y2T6m8oG++I5RWDf5mH2molceifx1hetaYu+ld+wnTE vxT1+F3WWlgm3U/OLRdHzP3QP4dA5hWKHeqbip3RVST511MWriswRf86qJqq ue6oJ03CyVHfgvOaRn+1oJD2T79R58sWY//FM7kPRINYT710qKuQlB/U4xVn WIjxvoDghcVp9Is9k/PeACnfOSKNVz+L+VXN9paPpJg/qWXw7Swpf/19tD5/ /Xle3///8fX1BPEPDDAXeQ== "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{98, 145, 146, 139, 117, 136, 97, 113, 77, 90, 57, 63, 15, 56, 14, 13, 12, 11, 10, 9, 8, 7, 55, 6, 118}}, VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[{1, 120, 100, 83, 70, 60, 52, 2, 3, 4, 121, 101, 84, 71, 61, 53, 125, 105, 88, 75, 66, 5, 122, 102, 85, 72, 62, 128, 108, 92, 79, 54, 126, 106, 89, 76, 132, 112, 96, 67, 129, 109, 93, 135, 116, 80, 133, 114, 138}], LineBox[{98, 118, 6, 55, 7, 8, 9, 10, 11, 12, 13, 14, 56, 15, 63, 57, 90, 77, 113, 97, 136, 117, 139}], LineBox[{68, 130, 110, 94, 81, 16, 123, 103, 86, 73, 64, 58, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 124, 104, 87, 74, 65, 59, 127, 107, 91, 78, 69, 131, 111, 95, 82, 134, 115, 99, 137, 119, 140, 51}]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], LineBox[{142, 141}], LineBox[{144, 143}]}}, {{}, {}, {}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJxF2Xk4Vd37MHAJSRpN6aFkyHw45nndZJ6aJIlShowREiKiKDySkFkRpTTI UCmSylSmyFAqswzn7Mic4V3be/2e7/nDuT7Xuq+117rX2nuv+9h9yvOgIyMD A8Nu/If8Fry+lJO5s1CLYfXzG9Xf+Hb21+mf6P9sXL7OfOg08Z8bNiqtZ7Jl gP+zznW9ynv7WP+zo8zCRurGLf/5J60t4sE/W//z0YInK0IS2/5z0gb+13aF /3Ora5R/hgrHf/be8bZdPeh/3lI/q/D1zf88d+7Kp7fN//PP3RwO+b3/c3XD 7b9xk//z4wDKTf+1nGB096fwygqBkkReS9hxcgL/32j1fuyLLUZVBiKcINB+ bms2tlNwx1EZJU6oZXJ21sI2E3ec4DbgBL6ihJayZQItRJ979d2SE4TGKy1E sO/Tr1y568QJM5tPjpxfIpDlgaR9bn6cYJklqF68SCCm4jxeuQhOiOGmDn/7 S6Bn3M/75xI5wTk3/8jvBQKdCKh59CaXE869FRybnCdQmdYvbbMPnCC5ZiCg ZpZAznfmNnB+4YRL3O2FaTME4mJa3/51gBNY13kkn5omkFeduKszExdke7ls +jRJoD0WbvHhe7kg30BxVohGoLbSCzbGh7jAdtbO5O4YgS7xxuzZas8FIywU Mf5RAnX/KCjLDOOC6gLi7MIQgW660PtevuUClkdTmZ49eB+EnJX/jbhhWCem 7fpnAj3uvbRUuo8bXu4bmPzQTKBjuvE1wSe4IfqC7935RgKVri86tiGEG+5F +npYfySQe8JU+J4KbrgtZpLM/J5AXfnn22w0eCCdZSvxTwnOR1vwuTqV7WBf GczRnEQg9W0ST5hC+GAfQzsnGw+BGtdY1zVc5wPJjp1TFC4C2U1c60+6zQcH HEs6LTgIdLl5hEe8ig8Meh6+yNmM42PzQ82Y+UH+t9qyGSuO3yB+MCmaH2xj Roa/zNPRZSaxadHknfDqY/TEq+90dPpvfEaulQCIPeFp2ZpPRwnm4+8C7AQg jcM5KO0eHVXe0Rs1cxYAm5oS1T15dLTdcE5p5rwAKPmuH9PKoaPaBNtm/VsC wNVbKBmcQUfiFLG1v74IQOhYhIJ0PB2N2ZU7SxzaDc9eNLocC6Ijz+ph+Sdm ghBZNVzx6xDuHwrcpCwFYW0re376QTra8sorJ/+4ILiw8tQfOEBHT5/Mb7vr KQiTs92P35jT0WTyhsnkG4LQFK45nW9ER35uMk/DvghC2QO2leeIjoK2nJey tBUCSa+rUyVSdPQpSt2h1VEIKq9vv39dko74mRnS958RgqdM1SGuEnRUMX91 g0mIEGzXLkkWEqMjhv7UUXRHCJT0om1zhOgovKTivvigEDA/00ru3EFHUdYs IkvuwmCnnfKRk42OtGTZZ0Z8hWHM2b5VcD0dTTBvq2kPEoYul9sfqKx0ZFXI 7/I0Rhhue9CdDrLQkQir4iP7AmFQKFGLzmTE8y+xV6wfE4YD65IaTv6loZkt b/VuuYpAJ+PTmus0GnowVM192VsE9li86385TkO2rz8NewWKQETH2JeBMRp6 f7rzmnGUCFClBlU1R2noRgXRsJQvAiy7EH12iIak3HdaOoyIQBXlz/mEHhqy r7ngRHXeA+pjDNGObTTkoLHHfMZzD5ys2N1d0EpDToXNiq/O74HtvnLDU59p yDlNhFkvcg9INL8Ui2yhoTOeTTlWeXsg2jfQsLiRhgJ5hHpDBvZApu+wr2wd DcWfrj/WaCcKxtLqNgUVNJTQ7bv3prMoZMRxv1+PnXhgl6SVlyjU2S9+Pl1O Q8nqvgu9IaKg7HqrX+Q1DWVu3pkynSkK3G7f3uS/xPN/frad77sorGNUHWgq pqG363gPuB0Vg+w32fQbD2loKIdi3HVSDNqZMtfMPqAhdtDda+AqBu4S29/b YFv5eyoKXRCDNd3VFhL5NET8+sD7LV0M/DUrbjTk0RB/vXefcY8YFERf75HP pqGAmE8+EqfFYUAjSvxCCh6PWJ97sqc4PDvC9GMqGef7/awji784qGtUS3li b1kStOq7Kg6XhVOTHG/R0D2PAI3UB+Iw8qbp2tFEGvpivoeZjS4OxWs5Ttne oCHq1tCkEV8JeHDFOLP5Gg2VsXaI1QRJwD8HKdIO2DoMlFd3L0uAVsUd6txV GrIgvv08kSABxzWPp+zG9mtQFm8vkgBlM82OgAgaen2NeFU1KQFWAg65KJyG DBlP9KZ5SYIeZ58XfzANtcyX+AT4S8JYitLniiAasp5gZzkSKglH86ZS7bDd esoktsVJwr801pO5F2gotoLb9+oTSbBx4yiWD6ShtsBGlnN0SZhiLOO1P09D J/5oSpm7S4GJqgc3mzfO9zaG5jZfKfhpalL89Cyej2yVz7FgKVCYLnl9BJvz jP4r51gpcFo8uOGeFw3V/jI3Dn8qBRdMauKNPWlI9scJ5xdTUuDzyLf/rjsN fV/czY6WpCBBqWzyAHbUPwNPPjBLgySDlOOKGw0NWDnPfuaWhjz5D2ePYSe3 ekXQVKRhf8U7/u2uNMRQd+muYLA07PpBs8s5TUOPhvca5l+RhqXMtZ6W2NYs LOMysdLwhP1k13rs4r1R8ppZ0rBlrcbbs054v1fEVx15Kw0yj7+26DnSENd3 C6cfddJgphte+teBhqr+crM5fpYG9SLRqUJsPtW0A9790lBlWue/C7vuiO30 3Jg0OL2br2i3x+vltyslZEoabsnG2MRiCyX2arAsSUNZyo4D+tjNRTk9McwU YGUvtFyHHfzZ8TLHJgq88ItgIU7RkMSEqFgqNwVUBT8IrGB3bB79KLCLAr/7 tvQp4fjLlALPe6IU2Lsz5VoiNtXsDAdFlgJxZ99Y7cDj+eEm+7xYhQKXRL4m vceOjpq0VtemwMu5xeibeH4q+cXLb40ocOu1ZmgEnv9gjV+24UEKRFGPVKTj /MQPqeg3WVNAo4Xt1hdnGkLMf0cO21Og4tzgMVmc73Gh8n+73Siwe97neAFe jxSdEKq9LwU26atMGHrQkP5J7S8jQRToa1FwZ8brfTvzA9/svxSYCh+69A3v nzQbqY7DSRQwPfWtfMSXhpJ23LxRnEkBH+EkxIn3W0ySHYv3EwosUSpevML7 M9KiprL5OQXsHUPDlC/SUNg2ygWZSgrYXS5TbgilIf/Yv8R4MwVCm9r4dPH9 4WN66oFJFwUiclvEhfH9dYatzuFBLwUq/di6/4nBz7+IpK7TkxQ4ePfw7L54 Gjpwkfquj0MGxNP8cl9l0ZCpRnKwNp8MXFp3y9coB99fC8vKt4VlYP1J639H 8fNDy+9Tga2iDNR+Vw10eIzX68zppE5LGWARyokUw887xuMZLo0pMnD0EvOh i/j5u/QPk7B0tgzYrFX2Zxykobku1x/RD2Rgpaiw9MYIDdEPqxwyeiUDbCfN Y5omaeibWavG+24ZKN7JN1PGTEdfM5lYv2+WBV39p3GD+P32LFbt2+eDsmAU sPb9wWA6Opm2ibnMUhbsnSL2Ll7C79P7fZQ71rJQFJfVnx1BR2feRoV5npKF vzVP5Ieu05HE1Fdxdm9ZYDVhv6ORTUfZRy/4692QhSXoU/v1gY4OOO3LlkqU haPO+rJQj9+PPkKfOFJkYTnkZ21cIx0dj/m4q++2LGj6Lszu6KCjHW/+qbn4 VBZ8H33p/jRMR/HCr7leNMlC4h07pcB1BNKmxqGsVlngt4sI2LuBQL81HVwi OmSh/5qrIyM+v5gfYS+3+Innp11bZ8dNILYoG4cJuiwkLypUpwsTKIxYfCax iQrCemuNGBCBqIvN3Vu3UWGr/achXh0C9bDmssxzUWFIlUlSTI9AWoJm1jX8 VGDecqBI0ASfXy0y1jhIUyHtaj1/nCWBfMo092eYUiEzrlDxsBuBiq1rGLv2 Y0Nl3m8PAs0s7C/hPEyFO2GzD0O8COSv7rAjxpYKnPf4p/3PESjoddRA4Bkc /+I5X/dFApXbcN4q9abCikdjJ88lAi0vZhhN+lHhrhGrvmE4Pn9qFj52CaFC tdru9shIAkVUdPhbxVEheFLCLOI6gWqOn5RMSKCCc/84r/sNArGujH5vSqaC qF37mMFNAkWhZR2DO1TYmRuyvw+fF69XCm9UekYF60+mLPcyCJRcdfYORxsV 2J3C1G7l4/Pmqb+H9nVS4bzOgvrkAwLtWHuFJbqbCrW6O5n0CwiUsTfZjXGQ Cpv771/rfEyg7PcVihPTVBgeb2x6VESgfgfDX1ILOH/ve0+3FhNImPlzqvMy FUrCilYm8fk1T29w5SeLHMRpEm8EXhDoYfWG+kYeORi2/umk9ppA406JQWx8 cjDrF/5VvpxAlHW7ZPQF5IDjoPQJsQoCPTWQSygXk4O+xHP/rK3E+a+1Ol6g Kgc5p7NvhL0jUEV97uS1Y3JQ/cWU5W0djt/efDb4BI4/0xnpXk+gHKeF3172 cjCQniTKhc/bVxn3EUfc5CAzl854/BOBDqnNjYlckIMMuE404fO5/lVBN94Q OQiafy3s1EQglXbTUfZwPL4p2z/z2Du97/z6EyUHLe/zb+5oIdCvfOPBt6ly 4LCp00K7lUDfZn0dSjLlYDpGs/oDdqNeVv/9bDm4+1BX0bCNQEW9f3qvP5AD u0cvVQ2+4PqKN+OHbZkcrBFrYpLpIBDHNaJjvksOblMmPj36SiCWDt4jtO9y cKna5gX3NwLNCeu29/TKQXFLqfxF7B+VyW01I3JQVR04a9iN66057ZbEeTng vsXt0vgd72/nhHoqrzx8GHttlYnrFdnSCiMRfnkIE7TU+IMtxDRSu323PPS6 PNhk0Iv3023NmhUxeQhl9Lsxht3aMfSuQQXHu4n+K9aP6y0D1XIXK3k4ocI8 c26QQDQx3g+FNvLQ4r4j6i22N9v8p3k7edjiVyfKjuulCw0vuq+5yEOFvVVc JnbsIZXF/EB5oGW5XHkxTKCSE8rqo+nyoNyVx/N+hEBq2jx75e7Iw8JBmzWM uP6qEJw1DsyVh9d+WlIIu3aw1JrtsTwEGn7f/5ysz9yUAiXe4HbR4l1ZuH5j 9Fd86dorD66n9rPtw/Vd5FGut88G5SHI7JxGGDa7+nTtwog8rI/uaS/G5lou 7oyalId12Y9Mt9MJJHZZYe7BWgUofT/o24ltHievPCaiAOM3R4+g3zgfZzmQ vIQCfGha/uOCbXXoj/4FigJ8tHblSsA+yV1kuUFZAaS5w+hD2L7pcn6ShgrA FUEXjpwgUNp9aombqwIEzSz1PMP1aHWXfW3WGQVguz/T/QV7ki3pW6u3Any/ IO8/h23ssbBG44IC8KUJ39D4g59P1Hfm7DEKUP68zL0S2+qVxa+CRwoQFVhU +nwK13vjEX97ChVASMBC/Av2U/6Xm7hKFSD9Q7/JJDZrKL9icIUCvHuWfFcS 18fPdYcumTUpwP42s/JUbO7G8//QfyvAqYhhIzdcT+us5FMEpxUg17VF6DL2 Gdlubct5BVj3eOurdOwP8eBcsUYRTJOzhBuwfY+sL4ndpgjXD3bNSuD6vLUn 1VxGQREsfferfcOO+1N+yeu8Irj8+J66DdfzHp/jTtpcUARfRxNlIWzjQntt wxBFmLalP5DHZvZcv0YgUhGYxa7wWmAHjlqENiUpQovAtl03sR17xy5SShWB bYl/N9sCHm9lxfEdZYoQU1F2Yju2QNYNLZYKRdi5+daFPdhfbZSXv39QhNcP z5rqYO/vDAv+9wseX5e9jT+2WhNv0PiUIgStyw36gb398fixzjlFGB16WTqK PR3zRv39oiKYt1NaZ7CfGjv+TWNSghQDx+JNfwkkUv000IRTCQZv3d6lib2l 3CDggbwSiMlsb0/AHnxwzs/ZWwn0nstFURcJZMG//OO+nxLQBq4eUsd+fz3C YCRQCVJPn1irh53te2u7a7gSlLdm8Vhh22m9LHNLUILT5qO8wdjdLYvLZ0qV 4NDuLeVV2Ka6V04/KVOCV0f+sH/EflW6sZmoUALLp+YGrdipaTvveNUowWNm 66B+bCtH2OvdqQR7vc7RGJcI1DYXHnluQQmezxnzamHrurH/LllWAq1HOeJ6 2EXfE6xmGJVB+sVbUVPs+Kpc8fMblMHJk5V+FHt/TM1Hfz5lMNudeM8X+9Ou DVuCtJRBMPzAdB72O/345LAwZfjZ3CfIsEygAadXDYERyuCSFf6LCZspcoDR JwrHbyvJXo+tX6PkYR+vDBJNstPbsOsNvmnrZivDuu6jXOTvS58NhceYq5Sh cqDfygD7j7OZwPIHZaDfSPIxwea85nd4pk4ZulPOXd6HbVlX+2aoRRlsYrdf O4L91cgjoaZXGQpuWgicxu4zLtW8tkYFLrK/TLmMvdbtp/clZhXgmUjYfRVb OJr1fsB6FTg9u3g7Gtvpo/U2160qMPRvY0Q89qjJypDxbhXQ04j5nYU9YWoY x66tArNZoaYvsRn2fe27HqoC8+c8c4ewaysOC/leVgE39FpxBDuO0mJvdVUF xjexVo5hC2yqHRCIU8Hn6faq39jQUDJUmKUCvNZ9YQvYoSY3RlsrVOAI7+F5 9hUCGb5il3xRpQKWRaaym7G3SF51S69WAXn9nae2Yt9mCxl3aFSBwDOBpVzY lXXu9OnvKvDTS1doJzaDoeEkz5IKcATGcFOwa5+/k1tkUIVTXrIMsthxosin h0kVrN9YD1KxBdYpTd1nVwWFEI9sRWyoFppR5VMFxcrnvzSwQ3VX5o+pq8K4 1uwjY+wVKF1zO0AVDPY1HLbHttYdru8MVoW9iUSPA3axwfaErWGq0Dtj6+yE 7WweuCc8CvcPhu4u2M3HtEyc0lSB4VODvif2Hb/qBKlyVWBitDEPxF4MmLV1 fKsKqpEjWRewLYPFRDM/qMJKviA9CJvtctTLzY2q8PFBXmgItvcN8x+TP1SB 7+XcxcvYewvaRV8yqMH6oKhf/2JnPlk3McGkBnoBMazXseeeqZRJrFeDya8l InHYBS9TTdO3qkFuS8qReGzOmuNnQwTV4Oe8V2oS9mDvUJmerhr4/nHPzsSO 5Jk1+xypBsb248MF2PG1tf1V0WrQZnD34SPyegGpAUXX1eBVV6zHY+zSb5q5 CbfUoJFz0/gT7IGsy4uW99QgnWtP2zNsbbFtD79Vq8GpPBWLF9imXf3wqV4N CprWLpG2iippf92oBnVDcPcltte4FWNmuxo07Bagl5HXe5p11G5IDWKDujzL sf+qSLMOMqtDuqgMpQqbZXQ548t6dWh9WvWG9La0ZvnqjerA/HB53ztsiSWf E/e41MGvMcj9PXm9t2WlLiLqoNs+lliNXWJk6EjXVYcNlvCoHtvT2r5qNlwd eBKV13zGZs8a7dG4ivurjvEj/aD/7MqlGHUwOvZ8lPSQe6gGe6I6ZEbfamrF Ph6SUSqQpw4rv5uiv5DzvdvxwKhWHfLUQps7sUd/Ha+L/aQOSdvPKnRhX5Ue Gm5tVgfGilO3SL8rnRI+3qUOvCqHrL9iq9VtzfIeVYctUNr2DVuMbnIzjV0D 1D2fZfzArpZrLezZogGbM35OknY4b90swqUBBhvlDX5iZzG4bHzKrwF1HRY0 0twcEZHvKbh9fblMLzaTSuUF2n4N4N02Gkv+nt5zScEBJWrAW/bE98PYItyb Yr1SNGDTHc01v7BdHww/v5OhASsbzDVJ//mcuoEpTwMozwuKSLMIrymqLdUA Gf3YlBFs6eqGNQc7NeBHqbDJGLmfre9JhndrgNXPvxdJl9JDDxf3aEARy4Fn pIFHIZ97RAPyjAJ5xrEtnFP3f5vXgA7HsW+kA9lOZzn8owkZccfN6dhvMqEu cZcmbNrwMJA0k/yOP9VCmnBQ+Foe6X+PNeiLS2mCIM/yIunbBfJ0moYmuKoM 3SXI/JkzaJ4/rgmyWtd6f2Nz3Ez5eu0O7t9nmPMPeT9+4WjxztUEr8s75Ekz 8MTWHMvXhEKWdQdIj6eGFUsXakJb+aYY0tXZbrEtlZrAHj2yTNr/maYOb48m 3NM90DmFfWbquQrjgCaUBp6aJO2gJCczNqwJSWlK7NPYB8r28JUTmrBrURyR lqjaPGO3oglvP5llk+5u6c2/v1MLmB6xHp/B/sxhc/uGoBZYF0X7kq493J4U uEcLTjd0RZEu6aoPN6VogdliZynp2N4i29+aWsAW7sk+S+Z74spWFVstYBA8 8Zh07haJgJo0LfjGYdU8h00ZOjrHdFsLotIv9pEufXXtvM5dLRhwOj9Futpp 5Fx5gRZcOdXDM4/96/V976JyLThumWRDWspF1D3rpxYY/Rr4TrpY68hYd78W jMocopHW5Ix03fFLCxaYUxZJm78Zck78rQVTHQU7Fsj7kSvPMXoNAlGPFQvS z94KnzgvhOCIZE4VabVbFj+KRRE4lZY2kX7nftl2UhJvo7J73aTbeAaOeSgg GM8VmiE945FjZa+HgFKaLPoXW3WH4MF9pxH0hpVFkK703qUn+hDBoz2c1EXs hWkiju8JgqDwRVXSCgGV3VuLcHviJx3S90NO+i6WIfhqT7EgHReTk9NSj4DF TceP9Ik8UcagUQRTumdfkE4WnzM7S0eg529bSfpzQW2K0ySCg1pStaT1i1yo BxZwfyNnOkjz9ByW5WAGkHP5NEV6ZfzWiV+cAIGLVZJL2OmUUOZ+boACiZNy pFW8nB9+3w7wznFOhbT3H5XZz3wAE7rb9UkPzXfFlgsDuO9vOkG6kYWvIl4B YEvchjjSmQK3+TQtAEKjdw2R3hRFrZW2xO0nGcZIh/yp8tlpBZDY+4UgbVc9 WL9yDEA06/g8aUF3yYAqe4AF6cENy9h5z0u/GPgAdN0bp5Dm3m14SeUcgGXO bnnSkVFdUuLnAc4bmSmTdrZdDGe7AHBY6SoiLbFWR64hDCCjP3Yf6cfmDbEH 4wHSV+gepHe+OK62NwFALOvmWdLXd/8elE8CELkvc46019Q2Ta5UgEFT8yDS cqlWYx13ALZySkaRLh3sN7AtBAja6HqXdHnQAoNzM8CGU+GtpGeeDP0O+wxg z+7fTlq2/3NPRhvAHYpTF+m7Rg8rWzsBmr5SfpKO4rYJRb14/i1nR0lbPi1f 4Z4EiFCvWCEd159PUKcAdB2MGcn/Z9ZxJ/00nQEYYWpmIq0RfOZN2ALA0KOa 9aQFjXeF0Bm14XGmMwdpoj90+QOHNgyueImQFuPxoPdwaUPL50RR0qeMj/74 y6MNNX9KxEm3P6VWUPm0oW3XL2nSr4P7gjOEtcFTgFOJ9FUe3SVfRW14+i5K j/Ruk3WLQke04VD8pB1p/ROh97ce04bhrg570q4+8xYrx7VB0rjQiXRx2tij r064Pw5t99X48aYTN/y0YcywzW81nsGIPSRQGzQ7jwWQvs5Z9cL9ojYIlXRc IN2pUbzVMEIbCo4UhK7G/5v8bjlRGwpR3TXSsXe2eo2naEOu+p9o0kUlUXxf M7Qh8NrWWNKL34POleRqw8VsqfjV/iknRd1LtOFww2DK6viaxKO72rQB5eXd W83nrshp2+/aoFDH/nA1/szAib5Bbcj4bPF49fobsxTGZrSh+0VSMWkBE84f i9t1oC+Ss3J1PKlnDS/t1gHv++VVpP+OND5jlsDtbw59WM331WuRm9R1wOWC WT1p3c6hifi9OnDJp/gT6UJRXRseUx24yLa5iXRM9bKsgK0OSJbntpKW5tNQ YfXQgWDVDx2kG88GoN9BOtDc3fuVtGdNqX5njA70x0Z3k97CP2VWma4DG2/M fV/t35t6+H6BDpidrvxJ+mDtGZu41zrgmyTWR3qSv8De/5MOjELSAOmbPiOu dt068IxIGyK9KX2mNe6vDuRNtYys7o/3azXf7tgLrHdrxkkz0rbkTajuhdJ+ d4J0ENfOzYJH94JneuUE6fisG+4f0/eCHlf9NOl8ceZ63569wGP/fm51vWPD J1J36cKGleYF0ixTa3jfHtcFb0J2kbRlfNdHmRxd+C4qukT6nmzhxcxhXVDh aV+1c92joQYJPUjPNFgmLX7qgfmShx4sep1ZNWN7YWh+gR484c9d9Tejl88O j+lBWvSPVbfP8HoZy+jDefnJVX/OCZRGPvrgwSm0Qnqu6ICG4KQ+nDvvuOog pT5/C1kDaNKNWPXKC++SiDMGUN5wZ9W5vjbBa54ZgNPH4lWbyOrrBU0bwN22 d6teX6PW4aNgCBrcrauusZVxcfMxhCWfn6u+Jx0c8fC5IZgYjaw6cqk+Z+yv IXBPEKve0ZHRML1kCFPbf6/68VOv2ZUVQ1CF/+//Bw5kQsk= "]]}}, {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJxF13c41e8fP3AJLYls2dl773PfL5xFkiLJVlY2kZVsSkJS2SOUNKSQzBNl lZI2LZKskCLb7/yu6/f7fs4/53pc9+vc9+t+3ve5zvuIHfM/5MbIwMBgtpmB 4f++i6evlRYKVyOG//d6uFVWxNczHf9/Pw67WybjWfQ/d6gEerB4Vv3PXan9 1HmP1v+5Wy/+0ZTHy/+55+Jg4JjH1//ZtHmL+ajHzP/cu1NrG5MDA/x/G6WT aDcObP2f3ZSXd6ruZP+fzQaTy/mE/7NGMjeBQfk/M31V8Xlp8Z+vpXn0+Gb9 56+/3iRV7uH4n4/ertrYK7f7fwYbwtUd+v9ZhumZ0p99/3nRbtShzfc/X9kh 1ORc/Z9fe6WEFehw/s8NPHzsiSb/+Vpb+Q0f2/8cJPD4nf7p/8ze809joPU/ L4YkPn/c95+/inG63hz6zx29xSsZc//5brjSpbDNXPBrTzFPZJkKviLZJOfM xQUh6UPq/OY2+MwrkzaKJBfsN3BnFxV1x/tl3X7zULig/9Xt4cTvwXj5fEjj Z2su2D5kf8LFMxxXTCcmlrlzgY7PLbuc4SjMVHOdXy2JCyKP3bBts4vHDWjM cP9TLlhnLPnG9Oc8lrLyzow35oYvN+qHegSu4Dd1kfamltxQ9uj1syNcV3Es f6oUx3FukNjzF+fvyMafvtxuKIzjhty1yHWXPzn40onp4UePuWFqW6tkREUB ZogOVJ/FPPDhTN+eFutr+O5Q7FrdAR5I2j/cGtt2DdsRMzujnOjjQs0vTRVL cd22B3Y7onlAlWD0YmGjFPtk/Y2XauEBP4Hh4X855fjjzdA39ga80Ov9ejT7 WgW+/yYqpFuHD7ieXC3dyX0XVyS6Hhs24YMD5Y7WAT53caHWvgMrtnxweVLs +nLbXZySzSerGMUHwjwDP9N8q/Bx+wefMh7zwTuf9OBw+3uYa2TM2MaUHzY8 D9ugy9V4++WXKoF2/HAg93n+rYZqzECuE0rx4Qc713aR5q/VeOpG/L/GNH4Y jZAo65O5j596C98Sec0Pnyc2eb2uu49P/bHc/dNOALo3NFdY2x9gnzK9jQ0f AXiSK3NR9vsDfOyw2BTfGQHosy+lLDLWYPOH009Ni+nm0DWqMqzB0pHnwu+O CID40T65nMYa/IGx9VuI7x6I3bOVc/O1Wqy/W66KKVoQMjOJYuuEh/jFJtvu 3nRBOJQ53n/o8EPs/Pvc9yvFgvBdPZ0S6PMQJ/SN88q2CcLnK4cqdubS69Nu xuxnFoJo/iNF/XP0+h2yh66cF4Li5FnaWm49nlu28XHKF4K8sVc35avqccLE 2SSZO0LwK/ucgXx7Pb7ZPdbQ8EIISvLNdUsm6PXJFXu/cghDQ9XFuWDtRziB SWZeOlsYTkRsUxHofoR5/h7Z9btCGKysuEquDDzCFd+TZRseCQOXnpz/5OQj 3Nv208FsUBh2t1+7I8LWgHlib3QECIvAY+/ogGaLBnxzTSr7UZkIoJlVT+GX DdhjJbOg3EYU3D5J9PXeb8RZ5lPt4c6i4MhSZyLa2ohpJaSJ/Z6icLMf+x59 1oj5qItaC6Gi0LRwtSjmeyPuynLoI18VhaqS+ucVu5uwrJLM5rG3opBf9s0r 3acJW8fGyjZ9FoWp8hB799AmHPdm4EDGD1G49+25hXRcEx6IuJCvMy8KIo8Y mD2vNuGUzjnNc1xiwPpHY26c1oQnnZs95SzFoHh0iwg/ezPmq+FJX7cVgwc9 qWHX+ZsxcUtAbf8xMYi4xPFQdG8zzr8jzhgZJAY75h9lftJsxmbLyXnPLooB 9rVyPWXbjO9cOvTCp08MdE3n/loVN2P/jp/qVfvFgS2Y+8hTkRZMg9veCtbi MKjixjUo3YLZGwNKbzqKw221sZ6vyi34XtXS7jJ/cZir/ddWh1vwXPaOueyL 4sCdbqpf5NiCT3kr34t7Kw4DF9jqI3NacMePPz83PouDSnXSnkvFLZjXuV4k alQcPkacfZl3owXXWxmmh/4TB+9NJg9ja1vwEsHSz4d/LzDJHZUs7WvBp9lD Fawd9gJvSrCnDVMrfp6i7/rabS8sTLVoZG1vxULMDPkWfnvB6cvogXb2Vtyy dHbHvui9cMBae3hFkP679D13ApfshaNr1XEfNVpxfG1LheyPvWC1nZ3d6Vgr TrFlkVzzkQDhtTJ+am0rRiqsC+PBEqA4Ej774lEr/s28u/PdaQm4k1N6an9L K7apFjpxL1UC9po/6lftbMWSWzXvHL8tAUsz1Cs5H1oxrfa4Zs+kBGRWvbrz Z6kVL7A/Jl31koQImy/tRXtouHK0gychSBLOWlRF+ArRsEPT858BEZKQ5Z+x qi1Cw088PpwzTZEE7pc9p9vFafhiy0zv2k1J2K1TwF8rS8MKPsLWruOSkNgd w7xVm4aPd0a6q3pKgdGaY/XlAzTsaiBlvuAvBQML9js2HaRh9+o+zcZQKRia ddo4cYiGPfMkmUnJUmCR/6FL4zAN+/m/LLW5LgWHeXs97trScATv3qHoESnQ OVVeqOlGw5kePXYvnKVBXPXK93thNJz1Kdj4kqc0HI7lfPM+nIYvHxSRtwmQ hhiWtKHVCBrO1g9eHoqWBoPWGRfDKBou3CWcM18oDT+tcxxqYun7fxj4TvCz NHjNhxuRUmj48Rb+g95HZaDzJXTL5NLwaKmS6UcXGUgQJsop5dEwKxCNKV4y oHaL2K2aT8M2Yf6aeyNl4NkF6ZfqhTQ8M/aUfzBfBn5+H7Dbe42GhXqChk2/ yQBP01zAg5s0HJ76/KSchyy8Ylpjv/OQ3o/MsE+2vyyoczf7x9TT837yz40l TBbC7W39Dj2iYfY1cZvhs7Jg7dR0eK6Bhm/4hhvkVsrC3++svOItNPzWXIp5 +7QsjMnalRo/oWFVjpgr48FyMKvvp130koYbtr6X6TwtB88G1V/jPho2YlBq LEuQg4ARhqivdFvNDH51ypKDv1tUNgn20/CpXm3Zdw/k4NMZ26Vzb2i46dxM Y9ucHPB+pXLof6RhKqPTUF6APHCwiUqsDtHwq6Xak+Fh8sDq2ncqdpiGbX+z shyJkQftZwdYWL7TsPe3BrndGfLAR7v9jXWEhtNaeILPVsnDjvGQco5RGn4T 8YIlZFoekm3/xS+O07DTH4KCuY8CBJdrtBr/pue9m6HvTbACnLLooTbR3aDS dtIuSgEeslnwaczRMJcfudEzTQH2XdyZJvaHhrvGzE3j7ynAV3nBhT9/aVjl i5Nn/V8FqMUzHaGLNPx5VYwVrynA2rsy+EF3yp6RqqfMiiBSVsR5aImGR2w8 //XzKAJX9WK37DL9/rwOSPqlowh8r5suv1qhYYbu2DLxKEWo2V6XtXmDhu/8 NKbeTFSEoQiauAfdtiwsU8ppilDNuiHQQ3eNcYo6oUgRNrL3macxPMYux8ze t99QBP1k3/MzdLPFskWa3lMEZvdGLYtNj7FnS2bbkceKcE0pe3AX42PM/dnK /Uu3IpBVOd/70d22wrPdrV8RCpPPEnvp9hf4eGdyQBGo+KeE/ObHWFA372DQ d0VYfLon/Czd3Ucc5hcnFaEjZbfRD7pPnRLJif5L9+rDGEOmx3jv5SEDljVF YLJf0Cygu+9B6bdUZiVQt5DdcWKChqP63RI42ZRgrt/lLLmNhuV+S8vk8iiB z4te43j69yNB6bb/DWkl+LkQZchjRsM6N2vWH5soQYJu/qcd9Ofw4sKngv8u KMF3uGziI9mM8+wV3h++ogSmNO5DHkNN+IrApYs1hUrgbasvulbQhFOvOLME VSkBb1H6+hxfEw5LW5mZ6lOC8GnSwGfuRnzwjGr7MKcy3C+H6pNyj7CZQXaU oaAy6DJ8Pug3U4+py+vaxRLKYPZux9VfNfUYnXp+20FTGVwv7xUMMazHcn4e Vz5YK8NF0ebIJOeHmNGx4MSLHGWwlRGUqq2txWt7mCQUrynDYSHnVb+4Wrz4 0evL+Upl2D/anpV3oBZPH9axNGlUhhdHRcRNJmvw4P7XBk8+KUPHwV/WA9I1 eKCQaevnXSrwx0zp7+ba+/h+mt5g/yEV+Fjubx/Afw+75LExN1irQDbL07rm iSrMXjGsVGKrAqxCxw+pl1Zhv8cpcf7HVEBP4mTpd+4qLPd3QJY1SAXO5+wK 1GW8i68djQwjXVSBlUz9V0/mb+GD7geuKVxWAbD8bHa97hZmOLn3OWeOCtiI /dmxK+wWdkx9JjJcrAKrdiamQauVWKB1T+eZeyowld8Ye3xHJc6UaOKuf6kC tY6NZjyGFdhQNQMXvVYBaiRz/fy2CjxLcD2R9F4FPln4LZi9voHNj7A2W31V gdxHBYedPG7g7Sn2rr+nVeCVm2PUctZ1HDezel+OTRUSHZ9ZkJnL8ckGgkWB mSrIm7Xn22tcwzW2nYwfLVSBYy56ZNuWa3hh2aKW67Aq8M3a/ZMYKMFh+q4C qQ6qoMvF87A4tgSfbkoZifBTBZO2kxpZb4txUsv7MJsMVdi99MbFQKwIdzq6 yGdlqcK2yOTyoNeFeOvGxOeX2aqQ950jwSOpEKfgdSNKiSqIs/9STZouwOk0 iZ1a91VhYUie37MzH2e3BZZwvlEFtaborwdyc/HHYyuWBz6oQvqJZImbR3Kx wOZElvOfVKE5fIXjBncuLjDO9mb8oQoOgucnUi7l4GtPWjR/z6vC6XWdpq4r 2fhWx46eF7xqUOe5j/fDoyu4pad87pydGryJTXZs9LyE7/H1BUY5qYGKbZGL kv4lXOq+PBtwXA2Wqnnjd7BdwmcZD8wc8VaD1vYeV4baTGyptzgpGakGBN0v SQ1bMvHYTdMfj3PVILm9tPZ6awYe/BfsWluoBkZvhKLMszPwC1LR94pranC4 MkL5UGAGfjD0Zyi9Ug26ZJUZvCQy8Bn+gi8ODWoQkCzDeE4oHXOem3m/9FEN WJs88ydHUzHLe/4jvz6rwfsvwWVL11LxogTx3bchNSgO9rp73SkVf6Flv+kc V4P6vo6V9wPnccWi4avLS2pwnBAZH/AhBSPPrB5VfnWICPpIpcycxZ4U3eYT NuogvzPOPS8uEf+S4X9aba8OtTJa2h37EnHQ9qXnS87qwL7jx4nT3Ik4srf+ 07kT6vCR0zc0sTIBp1nqrN6MUIdxlbsaIwPxuNZJW38iXx0ifahh9y3jsJ4h r7FaiTpMK+4PnZeIwy3i/0wjytXBXC3OtmohFnf9qLPdflcd9jil8sXnxeJP 3loRcq3q8PhjfmHKRAxmDNN85DWkDv5Sy5OGetE4+Sj34/s/1IHfg0/+6sQZ zKo/37U8rg71U3akh3lnMPd6zYeUOXXgiKXxWjCcwTIJGouVmzVgeJ9qxe3+ 09g8Q117UlIDrkXTTE7kRuC8CtVaby8N8EylHSu6eQp3fDzeVeSnAeWPyxv6 A07hue1XBl8HaYAFQ7dRls4pbOq7vMkgUgOcVbpNm7pD8LJquzlrqgbcmro8 ET4XjG0arcZu39GADV/97mT7kzhhKmnlW7UGKJ87dm9d/iS+J/SIjbtOAxzO PxKbWQnCW2OENKNaNGDNn/pCuyAIPySOxu5/qQGf5g6vUn4EYp4XoXumZzVA 7kJp7omUAGy0cVNJfF4DUryLx2edA7CfyidD6yUNSBv6wP1NOwA/zQTPlk2a MH5m0+D3Xn8cfGRbbdpuTbh2LTgx45Iffv0t11xZQxP+5C16vTLywRl/mmMD QjUha2NNPErCE/v2Z7jYR2rCmnS90eqkBzatPm5IjdaE9oJ35zYeeGBm/22b RJM1waZEv+ACyQNHTFjFvLyiCVMMJ7ff8HPHbkOTZ5TqNEE46eKJvveu2IjW 4ijQoAln6iQkt9xwxaJFFxFLiybQ/m3aeu+UKx6w117//FQTDr834LDidcUW H+KiLrzVhFJR4e+dDsex3kv+01N/NSFe8hpfwroL5rs7ZfdhURN+VOhucXvj gudTW/WfrGqCxs0Z/4pKF3zP1G0lj0kLzIsP8FnauGDJjnsR+7i0YIShak2k 3hmzN1PCK9W1oMonn1TD4YR/VIac8gzSgue1OCew3xZbCa1/qTilBTh1SeF4 mi1+kp5EGY/QgkhL5pBN+2zxteCrfF7xWjA1XalH6DiKndGjBu8sLbD9MxES +8QGf3q1uu5XpwXt6UvEd1+ssRkx0aOqQQvKTh8b7y2zxo11O/tmWrQgoWvp oo23Nc7NEy4J6NQC5iWrf6LLh7GNGxgHfdCC9/UhMTbCh/GbxfjkkGUt+GXl y68VY4mJ3qyzteta4MX9g6HB3BI/+Jxls8CoDR1NO7UbhSxxZlu5bOgObdDd daFdpfkQtkjtfBYmqA3aD0LUuzYdws9FdrCfRtpACz0jeqPYAreTM7Pj4rRB tuZ92aitGR5xb+yNSNKGhn2OgdW8ZpgpeYTxZIo2BG1cUt3zdh8md2r5Hs/U BqkxKnvHwX24hzJoSLymDe2mV5cPHTLF/VSJSeY2beiqbhDl9afiP577Rdef asO1zYq/FTSpmOvcqcML3dqw8/dUx7MVCrbu7modfaUN6fw8p4pSKHjAxDer c0gbxI82iJy5S8bDpnWEc5t0wFZk/OxuNhLe7P01KJZZB9g4dfzlPhGxxPmt FeHbdODLgYNx9ZVE7P7MdrcXhw7IkzoM1EyIeGLfxqipmA7oyZMLo88b499m 1AxWQx24cDDR47qEEWY4MDCcHqMDuZM6f+8SMe5qObw3OEEHnsc9n928inCG 0qvjNmd1YEA6RoCxBmFRtq4R0Qwd2EnTG/gjiTD01o5WF+nAEZnS/XEcBByz 7+LE6xYdGKxtVpxn1sfURlb5+jYdIHT3hEh16mF2+bPe+R06wBy42WP8rB4u 3h495fpCB0I5PrmKsOlhWrfP9PxnHagr8rojK6KLGajUOd41HZCBNe/rttq4 62G72iqDLmSMpW52ltDGGdL45DcmXRAJHmi/Oq2FRbdo/a1g1QWXrktfTido YejYu6ArqAvTWVzXV2o1cQxxY8lOXxemut9MflXSwBtQt6k4XBeWvKzmbQJV sS3xZ8+HKF1YsSfoHSOp4hoKXxZHnC74u80cHuBXxZ7mEVLxKbrQW+xxf/cT Fdxnh/a55+mC0faI5kQhFVxyqiNLoVkXFiXP+Ql1KuLV8H8Obo91oZOml7vr tCK2jpKRLnyqC7RTmnMtqop4e0LKo10vdGH3LNzfX6SAgy6af5n7ogtcfE9c F+PksfHtd9KPGPRgU2aG75KXLC6s2vL7N5MeWG+RvzMmJ4sX7+s0yG3TAx5J iRPhkzL49qNcs3wOPTh/vXUizE8Gc3U6BkaL68Gc4IlrTyKl8Y+h0QYSUQ9u yD08jO9L4mTef/v7k/XglurYBlOiOM7s6vredl4PErV8ZIKOiuPC8NzwB+l6 MHpX7DVJSRzXDRLKs67qQUXhXI3gRzE8UpSwan1DDwK7JTP81cWwoczuW4Md evDLTlC+848INvv4HZ736MFBKy7znAoRbJNS+67phR5sPnXRXdBRBAdM2TAW vtODyEbxaqVnwrjwXtFR51E9iG01EbW+I4RXdBS3/mDWh+eyd1ycM/Zglon1 grfb9CHL8Kx54oE9eHden3rHTn2YqDDcbrxrD5ZbO+l0g1sfMgJb9OMzBLDN 44a6E5L6kKgzXjadw49rTahu00R6ff6TZKNOXuxve7ztX7w+hEWVVOvHc2HW oolvBmf1wcqRT2HWnAtXfg/ciE3Vh5XHPlmye7jwqE+MAetlffjw2dRBqpYT O0YX1Ile1wf5VUkeqZnd2KzsfaVJlz5wnSqzVongwBNjjt1pz/Wh29dSsnQ/ Bz6rOPrzdZ8+JPFZ5ieLceD2ur8Sjh/1Qd1yqLq4hx3rdXMUBU3ow5Avn+hv MXYsM73vUh6rAUTwTj2V7NqJO9ReV39jNwDS33GC2umd2DXUtk+S2wC2TpTd YVDdiYsYTuy8J2QA4ceJmp/yWTEPZ1LyEyUDQMe65e2idmAmHVrkLwsDuCex cuub0zb8LVbDFV82gOuf/FsfFDJjSR62tIAcev3V0ZRsT2bsVfnzYUmBAez8 cmiKSZ0Z/+nP3cF03QA6KeV9ft1MmEVi04OuOgNYkLih4bS6GSt29G469MEA buwQFrsczoiDbG/Ix38ygNsDf/ZY72PEddMxh2u+GUBttdeW80KMGHg1bvKM G4DrTiUTs/ZN2Moz12JwyQBYsu5c38m1CUds9yhy3UOADR7hctlLG6i1ELov ixAgJXG0WZS4gZjUBf507CXAxKz950/z6+iCXS9ZVoEAaYqF5AK7dVR8W336 lwEBTplEOrKprKEOcwZCqCMBBDzG4pVWlhHnpZyBcyUECHnu72vO9g9tf8v5 KqicAAY3X/gGfVhADLxpnXY3CWA/FuzPVbqApnLjahSrCaB5Z0z9he4C6rjm nfaKRgAp5fLpZZ95FHafYMT/jQAWTKqXTcf/IL+/D3UYRwgg35z88UXDH+Sq paY8+ZMAske8uGipf9DBBinB5hkC6JhLyP9Q/YPk2nYtOG8Q4K1U6TbB2Dn0 6dXQzQphBBKF56Rt1H6jfk774oviCMihN1bVtv9GXYffXYmQQiD9wZnRZ3gW 1X7siTdTQmA+f9p+/tIsSht64DBLQOA8f3Iif2EGwe9EDh0HBOd1EnZ11vxC 5exy4Z15CK6IPDnYWTGOlEaPLjIVIzhy5IPee49xVNd4LtSoDAHbgK54svQ4 6nAfD2m+jYCzhrb5acUYGmuqCHrQjOBJtLVQ6f2fSOGEtE/RVwTzHME29cM/ UA06MvnpOwLSUkI/9dYPROBK9hIYo8/XJbXLPfgHMm8d9bw8i4ASTnEy3PoD +XNfdzu/CcPhWknSYa0RdP+xhFPoXgw8v3LCHlcOI72rVl9qpDGcV783HBE5 jNp9Ehzm5DFcfstgdstsGL3hHbHz1cCQdy7ylvfsEFrwLbU5TqKb8+ctU8IQ 0hUQP3TAA0NDYpfd4/dfES1IhCR9C0Nr5xMWX9lBtDw/kyFYhaEg48t97fEB pBFO+8TxAMPTyGmP3JsDqCLaJXi1AcPH727y4goDKCO1tPRVD4aD0j+f79b5 iJyuSzOensAgsDHBQfV6j7JlF/cHTmPQCHOSmlZ7j/pvd+W4z2GwDo3dyrv6 DpEfnFA9uIxhrobVcCr9HeL9dliFkxlAJ/C1QkLzW7QxddVpjAuA6SrLkLfy G5SvFMP8nQeANrd2pmbjNdIJ8Lz1mQ+gfnPfhG/faxT0R+dfvyCA7WPHaaWT r9Ho0se0ZgmA2k4J497mfvSCRbAlUwNgqIT8qdD9FSoULRYkWAHwPRkdMGF4 gdhSVLsUrQEG3S2N2xp6UfSftpPCNgAhtV/HBkN6kXPHj54NO7rrPLb/+vUc ifvIh7cdBzD6cSPG4cczdP1h3VvKSYCdnxT5jGe7EY8YNVYnBCA659OYZE03 Sk75qCAbCjDBWzd6KawbeTqsxm+PBIif+Kq7c3M3kttspNYbB+C4UfjloHAX umvem3YoEyBN/pnbbt8OJFzvqGecBbCv5ok3v24HSheb/aF+BWBRQu55NnMH Cvi7m8CdC/Aq+33/ctFTpJZrM/m+BMA9rSCIe+AJqvvxneJQDdDHcm3d/Hg7 aj69zODZR6+P1GXta6OhharR2bh+gDumEXX52TSk8r3/W8EbgLpzAjUdfjRU ZnKL9voDwHmb8JtqgjSUwmMfg4cAuoKcl94stCDre80bPHMAfmwsKQ+uNKGM 7zdnVP8C8NaEmP7b34S6ea58NVsAcNMrq55nbkIGUX6tccsAx8YIweJhjUjc VCR6mtEQfHqO9+i7NaCZ7zHrTzkNwXt/or7vsXokw+s7/Y3bEPIN2jbrSdaj Y6ZHv6zwGgKhKoTrwthD9O6eaouqoCHIicCujoCHqClqOKpAwhC+yh73ik+u Q2d5iWvBmobwenyoTv5FDRLbt2V17xFDeMbZVqFGq0Yab437BY4agvEaZ9uj K9WI7BRTwWFnCEftq55l+1Yjr5NLVhuOhjBy7JPbIcFqVJM3eWfA3RCIF3fV PYi6h8hTL50unjKEtZ815x2K7yKbU6xaZ8MM4Xl4ysj0kbvIi8GENTrCEBJG 705Js99F6Vxt9T5nDOGcxcj2i3F30AeDGg5qkiGUeGyKxv63kdeF7Pb1y4YQ XMJE3ulZiU7zvs2Zv2oIL4Y6L/HLVaK0Eo6AqRxDYF/7mNE7dRM9qE0RHCgw hOgIjQH54Jto9fPpkNpyQ9jCY/EqLKUCpSu5SPvUGkLE0UPOXq+vo5qXsuc/ vjGEGs1zLoSuUpSx93H58jtD+JiVl559tRR5h9rQ9nw0BMvJhLfeHqVIXCR5 3uGzIdyXM5QO2FqK0v1GnIZ/GMLCbdEj1w9cQ147izQmFwwhNCU27fRsMSK7 aB1gXTKEhvyX24Q7ipFYbe8JxRVDcD+afGVnfjH6YL9a6L9hCCFnso89pxYj 0u2j2/5uMQLSq93b1c2KkOg+ri+rfEbQxNTOkz+aj1YLby0K7TECnkUtKUpB Pno/Z8SJhYzA4AFrZ6VVPkrLDaTGihkBoYLX6dLTPLQy/uI+s5wRPCkzsqmq ykXvzp5LZtM3As+i8klCaTZK7VhXEXUwgkp7t9McS1kIAkdVhZyMYKWu8pR1 Rxb6u+eFmoCLEQQbmIozZmUh+8ACDS43I/ha2N2cpJKFFAUNdLb6GsEpGXGx i36X0IvAcDx72gh0Dt04PcaYieIEXeDXGSPgNz74bvT9RaTVSTWciDGCmOtv REPvXESFgnzGIwlGcOJj6fD60YvIv7OO/CHVCJ6Zjokw12cgdqG/+2n5RnBr aiQnY3s6etI5aN5caAQIGnU+09JQWFD7gYZiI7B0qJj8EJqGvnVmHqwpM4JP R9MfvPt5AVUHqR6uuG0EepI73jS+TEWHuvzsM5qMIDRs8+jT5hR06eS4l/Mn I8hXn9/NvS0ZCZAjAi2/GAGLa2iP7+skdI1vRxj5mxHUmGp1kAqT0P1mhUSF ESOI/Rz5yl4zCfVtCShanDSCtIIHLhInEhFb/sLrjBUjMCtveZc2Go+u+CUP xK8Z0e/bvTuK9fFIyJBv6NSGEYxu4t6tlxKPFEZ1p+03GwOfsnZ8nnI82qcS tVV2hzFsZ+CsIUTHobNPNhMeCxhDvdST6lmVWMR+Ncu4RtAYOJ9sOXp2ayy6 ekLS9IYw3R+4uuy/xaDrbJQjF8SNgT1vwLI1IwY9tUkJPCpnDGFiZ1aZxqMR 4y/26791jUGhKnoj9GIUSmktuT2ibwxttR2xW02iEEem2oP3BGNIdBUgK26K QqLaVrRmQ/r6MkmGeidPIxx7deCciTFYWz5pzHCMRKe5hXeJHzWGVq/4mHLL cNRbvc0W2xkDrZGzbBN7OBI2ny+zdzCGMca9z+R7w1Br0nO9qy7GEKNmVTFn EoYYFyPcWb2MQXc/P07aH4qSB943L0QYg3T8xpzLmRD04VT7Vq4oY3jvoMOR QwlBMpxVlqrRxjC8PalqkT0E9exLGveON4bGcZUfuCwYsTZrcA+dN4YJ4dNx lr0nUWbRRZ9n+cZQG1s690ghCH3Xj3o4VmgMV+Vu6skvByKND56MLCXGkPpl y+h6ZyB6yw7ZUG4MiyElXwddAxFf3HR77R36+k9Xb70qDUAnhAfYXlcZQ5Nc nH1jcABqaHh6dLbaGAQfMh6TIAcguz/5M3J1xqB6M7Wb+a0/KnTdt6e4xRhY dggr3T3ph2YYtN2bacZwnNM0wlDYD0GBePVAmzGcLb1nubPHFw29XSJzd9L3 E/qyyFvSF0lQKoJSXhrD59o2nZ1T3uimLHNP8DdjKOJ9KPWh8QTqFzRc8R02 huvSivtrok6g1V1RCh4jxkB8URNfjE8g84W/aUfHjCHoqcSl5nZP9LdtxBLN GoNzSYNtTq8HAvsnn7cwEOEs1SbJYsoNeR1g2LWJkQj/Kll3Xap2Q5eMDGB5 MxES9OICtEPd0KhMzbWpLUTg6Pik3LDZDaXOl3q82kWEk+/iWrXEXdGHtPjf uSJEcOJSFEwMP4YY41rFs8SIsKDIn2lKOYbkQ1YsL+wlwuz2UzfbuY+hM3Yn 66KliaD7947SjxoXJCFzPNJVmQgpz0zuB686I/M9RbcdVIkQSJ455N7njELZ Bj9bqxPh0wGHcI1yZ9Tz9xCYaBMh8k9Ld8RBZ+T/2IhZCRPhjtXI8wgvJ5Rd c0ZL2pAIpeYqF3NFnVDbjQYPUWMimBhUKFa9d0RcaWo9uylEYG6cZ7hFdUQN tuLp/8yJcLxh5UKOpgNi+buJ/7EjEQ75HZGt07FDi/ey00acicBLYdvS9s8W TfoqM209Ts/H/AZP7UNb1PfTfsbcgwg57B/zDfVsUe7gw6ef/InQHXBr/ZzJ UaTU7hu0GEPvTyj1e+KFI0g0hmlsTzwRiv0+eBCOHkGchDwHnEgEv3Pex4sk j6DFui5q0jkiPDVuvWhJs0ZtlXtFuDKJkD6QmrB77TCyzvz4TLmUCIw7DdOy M6wQ9UCAoWU5EabP+uxScbNC+qxbHp66QYQfJ4z3a+pZIdEkjWvNt4jAHmfW F/7DEk2Ep4ftqyFCtoDBnRiwRGdcSJIeT4kw4smRps58CN1QqT5T+JMIlY0q 6ToOB5Af9++lh+P09b4seEVyHUAayyohryaJoOp1vu/GM3NEa7/nzTRLhE4N yahiXXP0wfqejdciEZQak0V0ufajQv3Z1/HL9HyHI36U9ZohV1GVAwWrROC8 uulCxDkzNDteRepjIMG246Fnlbeaoa1RVWpa20hAzn/ibiW6D71wmblzYAcJ zMlc/qWTpiiLrCx7YicJ+OcOef6tN0Wi7FUi+Rx0b9un6XnUFI3+nc6t5SSB 88FB1kAFU3T7oxLPS24SpB7e+pmyyRTplN5lZRQgQf2+UT/5eyZoPXk6eY8g CXoE/DSEU0zQEx+lzZrCJBhxguVKNxNkoXV3yUOcBEdYgtIcxUwQz57p4FgJ EjwmVjh7bzJBnzYUZ3OlSGD94J3el2Eq8uy+M9orRwK5wW62tptUpHT3l8tP BRKEB7qx8qdT0d9Mxc8MyiTgnbvOfy2EimLs77xWVyeBm0+3Fw+ZisiGv8z3 a5JA2jj2/k9lKmKVUuxx1yaBXUsqx0MBKsqeuU3L0ScBsjcTEvxDQY5vpvQf EEiwYfe+9+o3CpJ4pPDwOab303C84PMLCroXd/vOhjEJxsyUSi7doaAu7tu5 bmYkyPlmGkgIoqC05UnuaHMSMEwVHyh0pSCrr/IXsy1IQOyxtHc5QkHfKm4l P7MiQeKjqK0DBApa1L8VrOpAgq/h14Zkd1JQi+jkjKkTCcTVizxVNlFQArO8 t6sLCZLVrRRV58mI/WWly1U3Enxpzwr99YmMZI9Vmq/5kuCurgrpx00y6irQ uzfnT4KZ1bbrqICM3D/2cIwFkuDXiZTDuhlkVGYx+aY/hAReW6W9x4LJyDg1 UqsrlATXhTQakt3JaLhzR3ZzOAmYyn5IFR4hI1GsYFcRRYKLz8plWXTIqDWi qakgmgShFlM3jKTJyLHOTPhSLAkmdlK4nnOTUZ6i71BUIn39pYrkvFkS4hG8 62F5gQQ62xVTmfNJqPYI6qamk+BM516luAQSsrr0Qg5dJIGsGZvTP28Surh9 5pfMZfp5nVRCJdokpEKOPiB8lQR7l/Le0PaQ0IvYXdWcOfTz2enbc3ediFiX lIPX80kQdutm2TMaEd3SoL39U0iCAd79gT+KiMg0wEJ7vJg+PtDuWxpFRMk/ A5Zfl9HPTzavY0iDiBjfVcfcvE0CFbeNSrhojEo4jIYL75KggPC47YirMYL9 /cZZ90hwe/Qzf662MYp6MscSXUOC7ZwWgxHDRkiQId4zuI4EW2NFarY3GKEG fc6eE/UkGAwok1rJNEKL99UvWDXR+7/VVvuNaoSuTrdPm7SQIOjbW+iUNEJa clYWmEaCHb6ZRr83G6GTJcGcck9I0OiykjTXboim02tzNp7R80rXFv5y0BBd eEZa+dtLz/cwnODSMUQKW97ZT7wkAU14YMRSxBCdOLMg8vY1CQQu1Ji+mgW0 tSEptuctCeyF/EsZBgFdn+f53vqeBFmJd7cJdgAa8dG+XjlIAt0HVYNLhYDi Kzq3FH+m53V8svZOKiDxkSMnLn8lgcLjogiVSEDOdmEKMd9JEGvrXpxoC2jj yta0kB8k+Bkz52+yD1Bhf/aM108S7JebZGk1ADRo8uj+4Un6/Rzk9rwmBsjo QJlNyC8ScNYxbPzjBFRplb6eNUOfz7GwaIUFUISTm+mbPyR4YfKv+uVnjIZd LWb/zJNgD0dMS2QnRqZe+lc4F0mAz8dm6d7HSCCEY/jQKgm67m6yLE7BKC5i NTlonQTnvp/jkQjDaCL6p2ImAxkGhgqO+rtj9CilOfwVExlmDp7m2k3CyKb4 BIfFTjJ0F2YfidmKEa3c6qH/LjIItTLt1llGSOYWdkjnIEPwO/F68SmEFmu5 b77gJsMQw9koch9CV589hv3CZHj3PfJn61WE1vtuj/qIkuGw3doSyzmE3N9d TU0VJ4PhP2vXqXCEtIZ8PzyTIoPqg/IFii1ChaM2ZyZlyHDRsWwp2wQhlilj iR3yZBAhpW1HOgi9W+APMFUmw+kBLVY9ToTQKhOPlyoZKrg23ntvEND1TbON 59TJ0Fj81OPGBAGdYu3Y0q1Nhv1Pnc/9biagLxzVd8Z0ySA7jhYGygmIzJtv udWADOUhSp/jUwmIWzyoiAL0/r5avew+TECnpR1IHkZkoFEu1xrqENCIAnUy iUiGFOXlZ0r8BFSjLazdQaXv/xIRC78zQIKEbZ9/mJLhWZ566Eq1AUow+hvH vJ8MHbq2lzenGiCr/T0viAfJUGnuomeqZ4CaDtUGu1rS87fYl3+czQBJ2BQL JBwmAwNDTK7DN33099gp9/ajZNCN/CR2M0of2Xu6sH63I0Nr/86kt1R99MTX 7D6jIxm6fuUbZHPoo0th4uuGx8ign/jT+kqeHlqO2lnm4koGpgu3L9+210PH 4hdNYt3JcCZvWIJ/jx5SS3txmeZFP6+pt6/Dc3RR7qVH+t98yBCtK+/DYKeL GHPKhjb86OfxzLRnh7Au8ipMTxYJJMOeROFjWcM6qL80QhGfJIMiNeNGZoUO Wnxw0EB8jgzieZr+iXKqiFVH6wXnXzKoM75MWOdURaJNAs7MC3QLjjyRW1NB 1Cff48eWyOB8+0RR4gsVlPMm5NndTRRY5DJouOajgvTmc2z1OSgAZ3NevxFX RubhZ6YUOClw9sz9/NZRJXRs7dgZYW4KlM8zZR65qYRSmBWubeKngNgvqYfO ckpokLtlvFOUAhqC6V6KQorotNZwmJUKBfq2B+48KySPMho6tpPVKHCq/IKQ 15AcKkO38rU1KKAro+8jfF0OPScH0wR0KCAu48fwV1UOCR1h2TqEKdD1Veca m6UsagmVu+p7gAIrJcmNX+qlUf8Km6zTQQpsP81e2npWGo1G/2mwsKSAL7m1 dt9RacR2tumL+hEK6E8/uGq3KoUcs82llh0p4GCzPsltKoU26oNqk/woULQN dbzaJIk+sdw/fy2Avr8J5dqN9xKoweq3S0sQBRSnA4a77kqg4Fl/toVTFOhk 2XpG1FECjUn7erhFU2BWtNj1Qvte1H/Fg5+YQQELLklq6XVxVDVyfcYpkwIl G3ffsCWKo1S10aeRWRRgq5Gq/35cHFFeuAY9yKbAS7Et25vFxVET87Fn4iUU uF5TkvCuTAyVB9tHbbpPgf7+CcWJh6Iori3PUqiGAh9U/g0F54kiZ/ZBWd06 CpxcT2fWjhZFArePvgtooIB5ZprYYYooSvturfytjQIq0ZVVRg9EUNihg0Mt rykQddVb4cwWYfr/VTLp9DwFbHccxSH3BBDD27ebgv9RYNjukN7mKAFUF+7W 4r1EgQelLWZEEwEk3p6gbbdGAaekucBn3/jR8uF2WT1mKnBmfnjttIMfVUYC 2yIXFQJ6n19OMudFzqJ9PTM8VBBJNvQk8fIinqdOyT/5qKCx253i9o0HxbFF M7wXpMKd1IsGnSd5kG1J81ytBBXOlWqF7SziRts69d6f1KDCmS+fh/22cKEW 755L3lpUqHi1JVz8HScKZre1OK5DhQRrRSf1ck707Wh49yEDKtQzIwUfIieq n3rYqEqkQnOKHlZP3o08d2sWz1hSobHmycKwEAfqdFA+4X2SCque8XpmgjsR +Tm/14UQKij+0KK0d7Oip3pM3lWhVOiLXFraHMaK2nk/+vyJpEJgZ+Ls13c7 UOuruIDIBCpwxVaF/y7Yjh6S3oWev0yF7qdTjfMWW5FWDS3szlUqiMnzdbZu 34pqxW+Fv8yhwvjooz8mT7egBxvRkZyFVHipomeRb7AFVT2Sjc67ToWxOnE/ GQ0WdEMxKunWQyrovdFZsyEzIal8j+TeR1QoGD7Q/HkHEyrffujsTCM973ii AH//ZlT6UypFnUYF933FJtXOm1FRSd+Fxi4qpBTwvLNOYkRXuSUuP/tIhZLM UrffcwyIJ4Htyq9BKsxvE7iY3c6ALs8tXtn1hZ7fgbdvprIY0KWXvdmWw1RI 5v5rnKvLgNLPheYPTlAhyz1NdZZ7g5C81lM6uUKFovVX9cG5qwSrLP75Fboj lE+1G2SvEkTlPcmsq1RwIcrzM19ZJTTYMI8r0H2mo7X8ysVVwtQDrORHt/LP I8bNZ1cJFl419bN0G3sGpfGFrhIE3hf0zq9RIfJby+EtVquEUd8pYZZ1KlSS Q1s+HFwlPGDSD+Ch2+rfWmDlgVWCmdqH3dp0R//wfWS+b5UQfWG3TRjdtncL unONVgkjxsnDy3Q/e+z1C1RXCfcG3qrv2KDCDk42Rl7lVUJUoETiHrrFjjm6 /FJYJfAUPZY2oFv9xtpGrswqwWR5xSeKboGk1aYlEfr4RdOWC3R/iemV6hda JQxL5+wqpNv7td5g5Z5VwunDWvdb/u/8CsN7HXhXCdSphM0v6e7dylevxb1K 4I5/bfWV7vHxoSvsnPTP84tfn6H7UQOBNsG+Srh7L+DfBt2Z7rIaT9lWCf8H RHlqgQ== "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"S (scaled), e[t], R[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 50}, {0, 3}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.417781802484651*^9, 3.417781846245185*^9}, { 3.417781984738215*^9, 3.417782044274277*^9}, {3.417783349433085*^9, 3.417783373511389*^9}, {3.417783448224459*^9, 3.417783485109815*^9}, { 3.41778385238839*^9, 3.417783895504283*^9}, 3.417783933665142*^9, 3.417784054932664*^9, {3.417837486566983*^9, 3.417837509122278*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotMutualInhibitionResponse", "[", "2", "]"}]], "Input", CellChangeTimes->{{3.417780745121329*^9, 3.417780756808096*^9}, { 3.417781268448053*^9, 3.417781271355464*^9}, 3.417781608594639*^9, { 3.417781653939939*^9, 3.417781662372299*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxdlAlMk2cYxysriFYUYXaAjKPgOETa2qpcpQgC5VQEBqKIAWsLchZhsFFQ DhsRRIvDMUZ1KGMwI1eZJ2hrhqPqYNXJBmYoziuwgQIpAaE7Mp7nC1/ypfnl Of//vt9rHZ+2k69DIpGk/7z//tIq5s7LLFo9Sf8/gZ1LQ18IxrgLfN9g8zJy LMlrgb0rfG81bNcH5tNnDJgGhsAhDvw3VP/3vSL/e55z2x6Ks3pcTIDdjRyb yQXmwIJZaW19tBVwWvdLVnMIDbg0Rm/dXLItcMKdzw4whR8BK5aahh3cZQ/M XH246vUhR+C4CY5TaLIT8DnZD+aacmfYt+2E26B6JwM48xpnR20wE7hLVf/2 2O6NwEJ/187EaBZwzbfMjoNJbOCTE51H0j/ZBPy8KStbKNoMfNtP+kVh4RZg 0vaB4YrDLsBar++XnMt1BZZ8oAlRS9yA02ISlJoid+AnR9j7uZ97ABtXVg8c +5oDXG/omHunxhP4lsjS1+47LrDM6pw5J8ILuDNvhiTsQ7YOWvrOJmorsLzX 4fhvD5HLuucZVrHewJWZr5P2PUbOW2OxirbLB7jRQVd16Amy3uQSU8XebcAN jNZ82Utkh/im0LkUX+DBgKttkSPI6vOfbuBm+gFPt4d50N4ia6+IOo6m+gMH Mfx886aQ78TSEw9m8oAlc6rzI7PIl1rSNVotsurUYMYrwRB8H3oa87/Im1ZA fNfFZq2NoxEwqSCDNc6lwvnj6cQ9rUlfD0zqOXKBJt4ArLO3NvGnajrUm/XX 3p+aw/k9bkVXRwW9MN/Whxn1sfdyiA/9+fBo09rVwIzf44RXJvH8h+Uzbw8b Y/8dSfIr4++w/6sm/ZJ2u5XAD5JKc2pdjIH3hiruOujj9/OHj2R4Zh7rfyxT 86YEN2E/VuJ1ipa3DOJ1JwSqlNN4X+ScmB0b7cN+o+1c51TCPpo+qeseZwPg KsqHN/a1or/CLqkySoH+FZQbRecQ9jEP8fZ5WYd+GKo07IGbqMelUT6vCMD5 ATOzyWLC/93NyBDoCZtBj1se6UD4Pbz/yEOM5N4dqKesap+eqBn7XYvWfe1E 0DP/rL+ypRXPy/TuF7HKFNQj9yllcc6inuCNvxptIejJr6U858WhHpGZ4pF7 Huopdr6Y1mCH86lnFXYeBD3s6+Fm2kmcZ+5aEyZ6hvNufFV4JtwQ7++8yM1t XYR6Rc6lC/bCs+BHl65N5Vw5+sGWrOGQ6OhHlVnlKbkM97FaL/RbQfCjMGXm Vkwm+mFPvus8EYT7tZPd06kE/Zd8xztyOai/TlnfkByD+h3f2Nl/ScV54gzb krWE/fkJLiP0B9hfOUtdzlej/iFr4/2NT7HfsF31KhmhfqvosS5FhvHsbMvq gkmsz/85QOm/Dv1bU/QgYohQf1nfwTJFWAH+HQ6UN6pT0b/gQUm9iQX6V7PH qT+yCvVEnDadmiXcT9vajvfTI9A/r2jOGYo76nuRMmqhR/CvuzreQuqE/l2j mhiWBKAesZpfbLwS57UM/MKiEPbPv9wUzlNi/+msknuKPqynngrsKifkx3SH ptqUY7wnKnZqegT94o0Wv9dLyN+WIBZeHMP8ulZP9iMN5g+b0r4ZI+Qvvo8W 5y8+z4v7L8QX1y/w3y11ScQ= "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{98, 145, 146, 139, 117, 136, 97, 113, 77, 90, 57, 63, 15, 56, 14, 13, 12, 11, 10, 9, 8, 7, 55, 6, 118}}, VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[{1, 120, 100, 83, 70, 60, 52, 2, 3, 4, 121, 101, 84, 71, 61, 53, 125, 105, 88, 75, 66, 5, 122, 102, 85, 72, 62, 128, 108, 92, 79, 54, 126, 106, 89, 76, 132, 112, 96, 67, 129, 109, 93, 135, 116, 80, 133, 114, 138}], LineBox[{98, 118, 6, 55, 7, 8, 9, 10, 11, 12, 13, 14, 56, 15, 63, 57, 90, 77, 113, 97, 136, 117, 139}], LineBox[{68, 130, 110, 94, 81, 16, 123, 103, 86, 73, 64, 58, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 124, 104, 87, 74, 65, 59, 127, 107, 91, 78, 69, 131, 111, 95, 82, 134, 115, 99, 137, 119, 140, 51}]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], LineBox[{142, 141}], LineBox[{144, 143}]}}, {{}, {}, {}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJxF2Xk4Vd33AHCJDKm3MhcaqCQud8A17nXNURpJMlQoUTKUMREikhAqkjQi TeaEUJmKRIWSEHJNJ0OZ+e3j+/ze1x88n8e+Z++z9trnrMX6I6f2OHBycHDw 42/kzw1XZu/eknquzbHw9RvVxHxz6z32A/2/jYt5THuOEf+6dpkKH5c1B/y/ da7olz7cyfuvHRSnllGXrfjXPwY/hWasWfmvD2Q+nZeWW/WvE5ZKFh16/p8b nSK8k5mC/9p9ddkXjbP/eUXNOOPrq/88cebC+7L6//xjvaB9esd/rqi9PR09 8p+f+FCuei8WgmvrP3ybmydQwsYiuUNCQnC6OP5eC/a5j9vKDTcKgekJh7Ig 7KP+TQcUVYRARTapfXaOQDu2OAyLGArBo3wlR1PsqUtnXn43FwL53sc8YbME Shu6cOHeUSGooQ0WpMwQyHx3wk5nTyGIZ3hlJU4TiCvngTgtVAhemYss9Z0i UJZI/s+JeCGourDtAZokkK1P5eNX94VA/+C6vYPjBCrU7mXteCsEk3IZhjx/ COSYOrFU6LMQxEoLBnqOEkiYi+/L1y4hiA7gymgcJpBr9RYnRy5hULnhH241 RKBN+5xjg3WFIfzcp/Y3PQT6lOdnZbxXGIJqW16UdhHovHjkppV2wiCvc2j0 eSeBWtsyC28FCUNoq8darzYCXT0+1PmiTBjWJmo5JH3GeRDgRv+NROD4qI1H WjmBnnScn83bKQJHStxTaKUEOqgXW+lvKwKLIysPFxQTKI8v++DSABHgO8fl k19AoBNxY8GbSvB4p5gnF58QqCXd65OVpiiwhs7ejL+B4/HJ/0w1UwxsxYYO TZ3E8bxgf6RzmxgY1EoP/XEi0C0Vk53TlmIw/7L/BYHzMuK62BYFfzHgG/fQ bjtMIDur7NboMjHoGw3dmmZGIKGuXl0LY3EgltQtndAkkOfo3lW/Dq6G9ODF H0v4CaSxSu4pV4AEfO6cy1G4N4SOTccm37dYB43hn1VXtQyiUxW/6E93bIAy FdmZH2sHUYTlko2zJ2QgOVmZMm4zgOwq/Y5SHTfB+aYdOauz+lEZj/hu5wOy 4NC+l3i1rB9RVwYmsE/LQUmRJcdlmz5kO6olb3pCHtImTRiWL9lIYBVH/afT 8jBL36N1tYCNCpXKPQ76y0ONyC+x97lsJORi8NIxSh6otc56Ws/YqKrX1Dj4 mTx8LU03k7zPRkptto4FY/LQ0q71sDGKjb7PrBdAs/Kw4fbTM3yRbBSxpuvp W24FWHfBmQ+Fs1GXheN4g4gCdD5w9k8PZqPrja6hg0wFuLaLGujnzUYc1efv bfBXgKQzI8qCR9jo8S9do/QLCqCzpH9Mz5aNLJcsGVCMUoDsR5+cPa3YKEc3 gq6VogD1AzLnms3ZyLEktnx/mQLI8+hJ3jBhI+Hv+462VSvAoMK+kCojNiqf FuF3aFCAedrtm+P6bCShlrTb/acC9D+O+b4P2Kh6v/WfiX4FYJeEcwVrsZGn 59obAWMKsFjUruWZOhvVZ99tj+SmQPCeHDFRZTbyb3AIEVxOgb6K115BNDaS G94smyhCAVW+eBVpJTZq+qfv3bq1FFgZebFkQoGNQiiZpx5upoC+6BV/Tnk2 ou5wEaQoUeBcsdtPJMdGbc5K+TlMCjjGTNo+k2WjSxEjlhosCojEbbLbu5mN mOk5c2XbKLDnteBh2U1s1F3pecdoDwUS7M9/pGxko9gepsEHSwrIrt8pf1SG jRD3NNvMjgI77lixa6XZaEC6+HKrMwWWmIWcd8C+oRNAtTtNAQExL3d5bIPD rM/ssxQY1tyvsQF7NGCxj+sFCti8MDhogH371luJ8csU6JZw2X0dO8lKvsks gQIxFbU/hfB8CauvxuTcokC932ROEXZM86SJ4EMKnFdfs/sKXl9kwqEl7k8p EMhhrReJ1x+2r7K0Ph/HK0B4TTa+v6BVFD/FUgq8CvW2X7wFx7c+TjmqigJK vEuyzuL4eEdNEwP1FDC8tCNeCsfPY/uRDJMWCpRea0vpxfF14a+2z+igAI/k e7uvimx0vEpxLV8fBThbDT1HqWxkH5rQcmyEAnp300/SGWxkqzd7tWKKAunO 29pvqOD84rQ33bhYEWiC/vab1Nho9znq605BReC//3PuqTYbbde87s+SUITU c9PGmSw2MpqaU70towhn9ONW1Oqxkbbn+0xrZUWgsji9fHH+qTHox4q0FMF4 G2Pnkp1sxBi5sX6NgSKcyBv6J3cPzheXYwnN5orQY7u8xseSjTbK1+1StVWE r9w/ua/YsNG6PsbShGOKkH6C9vgtPg8iRzkD93orwiJJ2dfxzmzEaZN8vO6G IhR+EazIO8dGs2u4ZBTuKEKo6AvJWny+Jlqc2i5lKIKz0NeZRfj8DZkx9257 qQgF6Mevt1fZ6NuORs03rYowHWWdkZnBRl9vcfF+/0cJ6pp3pqZ/Z6PmWVUH ASEl2JF8eVNAFxt9tnIu1xBTgpznTm9O9uPzsLrhbOI6JZA6+mY8bpKNKhJS hvdTlaA5v16cU7QPZUWpf2vYowTMd5KFy8370OGk5dyF5kogk7288pV1H1qR 1klJtVQCz485ckEOfcilLCLo1BEliPD51K92pg/JjX3dIuCuBA+khHhd4vvQ nQN+3voxSpB9uHPpk+Y+FCtTJFzwQQkWMQPdshz7kUeh1q7k7VSoN774Vjhl AOVYVnK27KKCUFBnUmX6APo7tStXyIwKEZcJwitnAHlr2K+OtKbCkT5enYbq AXS2KKLL14UKnsHQdWhsAIWWNHlbRFPBvUVmsb/RIKq0Obw1Lo4KjycKf7ft GUS8833fP1ynwvwH5TJVa/x8RnM6hqlUeP9xluO92yC6UiqzTCWLCpNP7TJc EwfR9XK3VMFPVDheem+3CnsQtRyZ3ruzmQrSOUe8qkYG0erFF5ZcaqVC5pYs xW0zgyhZ97ozZzcVJNO0QOifIXTnTYny8B+8/jd/HcvpQ+hRxdKaOlEa1PE/ rlzuM4QGjsaf5ZeggVRKc8SO80OIwrNW0WAdDSyoT1Z5hA+hZ4a0uGJZGiyb uNjoemMI5VRZ2GSq0eDVw6968gVDqKTm/kj4QRrw8O4YOfAbjxerd/O3pUGi tFP+yb9D6O7Rqd+udjRQdH546tjMELrIuZPY70yDN5xyzgK8BNqrPtG/0Y8G iy4rp6yWIpDBxQ3O4gE0iHW0MLCSJhDzy/Y+gWAazH2dSw2WJZCUe2rvaAQN 9m0NTQ6mEag33bi7LJEGq3vcFUz0CfRt/LR97i0a/EmLKS/aRqA6/ZSfaXdo 8DSoeljIlEDZHaMdVzJoIM32nvMxx/WTeHKbdSENTk1o60gexfXIsUrr3SU0 cIvMVqk5jt/PucOteuU0eFi1ptYWv9+Ndht821pDA/1rGpsMThNIMJxommyh gd/UfRrfeQItaRLfP/idBlEtOblcIQSakNH70t5BgzPHFJ70hxKorfT6p0o2 DdY8WxHuH4nrhQnWx/hJGmgeiREqSiBQksGJXeGzNMic1TSXwvVFVFzCh7OL 6PAqWFvnVBKBPJT6a+346BDjv+FlWwqBtB3jaqjidLihYJU4/5BASnkl2zZK 0iEf+UR3phNImotdJbaeDsvWpx3Pf0Qg3ttalfOydGj0OGfBfEqgxqae17VM Otx8KP8wNZdAFRtX6pZp0qFYm2IulU+gAg+N8hygQ4Q5R/sVXA/d+ie6NMmI DkvdDn3Z8xLXd4Zqxcct6EBA5NnDuJ4alBV/+9yKDnlGdU0Pygjkzj/5fvIQ HUx0NcQ6cf3lV1vQGn6cDotkt5dqvMX12dPrXR9P0oE2uanZsoJAIdHeA+Lu dHjiWctwq8T3v5c5k+5Lh6Y7DzkuVON4K4txjZyjA6vffUVwDYGui0wsVQ+m wxa/9mSfdwS605K/puYSHb6EbdLdXUugXFtVjb6bdKj5NsSdVU8gdZaoLi2V Di6bH2n6fSRQyYZxY9/7dDhx68cv7QYCVXXnWfI/oUNnZPKZvEZcXzqr+Mq9 osORTW/vOn8h0OEdIkHur+mwe+Zj77ImAvVQ/oYXVtKh0IZTJBObGM69YVxP hx/zhq9amwnE6a38wqkD78fMQQPBbwQKOyBcltVNh7E1pgXXsQU0/lRNsekw eMN67ZpWXB/P5TRHjNBhL48MS/Q7gWRDGBMZixlga+odROD69rGDEMcoDwM4 9+mcsv1BIJrhGI+GAAOMTaZW1WJr8OeIvhNiwCvZ2crUdgKZRtNV+zcyoD+N u4OG6+VGN0FEl2MAzZzmFYttsXfUwI/CAKThaPwb+7BItvlSVQaoWn1of/CT QKdv0jy3GjFAL/ul6qJunJ9p1FxnJwYsadq66PQvnC8tdlUpLgzYZb0+9iX2 CH/Ct0Z3Bnz+PL6Cs5dAxienFmn6McDpgf3IJewp6mtTgUgG9Ng9H7/KxvO/ 3Neb+ZgBshzFNT79eP8HQqfbnzMgo0hiIAv7meSL5cJ5DFix569pPzZvoKSy fwkDOvby9h4YIFC+Xs/5HR8YIBy5pZIySCCROq81Q78ZYBk2P/kC9xM68+mU DX8Y0CDg/qIX20WplWU+yQBXbqM+EYJAb2PBsWSRMjQsjUt3wz69ny83apUy RHVJt677jePVnmiqyFAGqVrZmmO4X5lbWXvYjqkMuSNc16Ow5XTnT1/TVAat kxJ/c7CD7tslzespg/jMH0eOEbw/TvK9H8yUYShScm8sdvRo8XlXL2Xgid50 6i7uh042RB+28lOGmbQ1r8qwjZ/bsYwClEG21bL0Bzb3Kb5F68KU4Tyf6dfV YwTy7dsX+CFBGTgpshcuYzt09J+j5CmDnMIfDwfcb+mUltisLlSGN233UQD2 upQY7SUlyrCzoLr6OvZXK9W572+V4eplLYl32Luag/wvf1YGH8q1Wvm/+Hx8 ED87MKYMHgH6413YYk8GDjZPKEPWnNf0FPafyFcab2aUQds3smoF7veeGTtM J3GpgML+tFca2BsrnvmaCKmASUsR9Qr2imJDnwy6CsTs3XdLfoJA3RlnPB3d VeDwD+pyfdw/7pOca0vzVAEupBVujv3mSqgh21cFzASrPx/DvnP6mphTsArk BDt0h2Mf0n5R6BynAk2vCwfeYbd+nJlzyVMB7W4zbiPcn27Xu3DsaaEK8FrJ Nphjv8xbVk+UqIDU4V4vB+zEJKlU10p8/elvO4OwLRxA171ZBcq0FbUKsT9N BIedmVKBB35t9tK4/9VzFvidO6cCqeLWvxWxs7/HWfzlVAVByWFLTezY8vtb vJaqQn5sUd0+7F2Rle+8JVThrvs99RDs92uXrjirjcfHKZ74jv3aIPZ6UJAq eNKppn643+46+rLWN1QVXG43lwRjc4V1cXpEqEKxBe+aSGyDSpWTdrGqUPah LOEmdo3hN5beHVVY/qXrdhF2g5FMP3e5KjCmpOQmsUcdd6ybe6sK8pTG4xy4 vxcK9zT7W60K8YfnrvFgm1dXver5qAprxw+VCmN/3XYyrrJDFaYU2fpU7E7j PK3wRUwoe7nbyAF7sfMP9/PcTKj4XBvkjC1ziTfNh48JN2PgiRv20XeWq5xW MkEoIqnZH7vPZL7HeD0TMoo3BMRjD283ihZgMYGe/I1Wjs2x82vnlUAmGFhN C66aw8/bEjPp0yFM2PnH65oIdjTlo53FRSbYuu5ZsQZ73fKqrnXRTODnDumU xoba3J7nKUxge0QtVcYONInpayxhgtrLbxfMsI1eCmwtKMfjlQqdDmCv2HrR +WYFExJ+uxtYY9/mDxiwr2PCSrWKTnvs0uoTQ3++M6FehvncA5vDyGhEdJYJ 0q0n8q+Q68t/TZvhUIMG+/uCV8n1bUYe7VxqENg3eyyBXB+PyliagBrc2rZv 8ia5vgrpv2oSamDQ7leaTq5Pb37yoIYahBR2EmXY85C36LaPGmSE9xsOYlvq /app9leDQdnqOQI7x1AsbmWQGly8/frJCLajqe+m4Ag1KOS3nRrHrj+obXI0 SQ3McgV0OOcJlOpZESdfrAZLjARThbFnfMatHcrUQK41ZVgU29xfdvOtt2qw drep5mps/pCIF//UqcG36Z2lUtjuMaZtI21qIL8rJWQztm7ml80vONTBbtST n4l96ynP8DCXOnwO712sjj2RxSyU41OH7y37JzSwM18kbr+5Uh28bh1pQNhC lTZuARvUQS7w8nZD7O6OnkJ9PXWImBO2N8MOEx3f0RCmDi9ejTq5YMdWVf0s v6QOaZ5Ly0+R8/kk+mRfUYcJq3FhN+y8b1r3466pg9C0Y44HdldKyIz5Q3XI 2Rf43hubJbvq0bcKdTBW6zlF/v1re8tPeF+jDrt6nlwLxraIyP1SVKcO4SOl RSHYrgMWnLe+qIPU75a5UHK+ZykHDvWoQ/nLCLtL2NNMBd5ubg1wPM3KuYq9 pG8u+TOfBqiGBWTHYa9KqqdXLNOA44OOz+Kx5WY9bB8KawBLzvzuNXK+ssK8 4xs1IM2A6ZKEnbvNyGFITwNsVLhv3sE+ZWlXPh6sATNNVz2fYguk9LVrXtSA H5Hqes+wM366zZ+P1ID9Xe//eY7dcyJQUyBeA3a3VNzOwrYJSM5b90AD7E9F Z+SS93uvKWNblQaUP752+CV2X69NddR7Ddh5VWVFEfZFhZ5fjfUasHFuVTHp 13ljMjYtGiCocGNlCbZ69coU9z4NuON24kEptuyQydUkAU1Ycbcw+C12Ba3x efsKTXD6kipWgW3vZVm/UVgTIGhNJukUjuPLnklqQtpUa10ltohgaNgbiiZ0 RShz1WBzMUv9Bndpgs7Zdkoddvt5hj2K1wRKz9boz9gbRZZHud7QBKWfF6dI O2X8yk9N1oS9Ie12X7BHGxKXcj3QhJmsAHoTuR8yi7Kr8jQhdTKiohlboaJ2 0Z5mTdDvCiv5Ruaz5cOtwa2agD8u3krmz1CgWU67JvjOW3uQBlFGughbE8Lv Z8p8x97nmLjr26Qm0DaVnm3D9uU/lmK/RgsOuXZwdWC/ugXV8Wu1wCH9wB7S XPTVoxXSWtAtsDKF9OWDtQZb5LXgAb+RSif27Uz60KCmFoi2rrf6ScbPlEPL y0YL6r6Gh3ZjC1698TU8VQsuvPxxiE2ex8+CH93va8HW/BfxpDlEoyoPpmtB 21XRGtIDiUE5Cs+14M8TO2ofeb07zlEfS7UgO9VmirR3lpaOeLsWbOLs9BzA dhnLZ3J2aYEMb9A90vYqNMX+X1pw/17eR9K7CzdJFBNa8DCnQ26QzN/yf/4e mteC+YKDzaRbP3akp0lpQ1j863UEdoOg1e2YDdowbrTZiHSV2ZcE303a0JCq eIp0bktN8HaKNnzaQC0iHdWRbf1bSxsaeQT2/CbjPXxhJdNaG7QjK04OY99f IedTmaQNaaG+TqPYlJ4DE1y3teHASssI0nkvw7107mnD5PK+dNIVR9lnijO1 wYop1Uu6tyjNPbtYG3jE+w+NYcsf33wi5Yc2fCvK1fuDnaO9v7/1pzYkeA7b ktYSCnNa3asNiRO9vqRNX/U4xv/Whg9yy5+RPiX8wOHSIgS6Mvqif7GzymRs vaQR/JqYbCGtfm1fW85mBExH1jDp1ydCrEe2ItCnmfKOY38S7Tp4koHAq+KF Mum/J+9a2OkjcDnXc5m02uoNe3YeQ2DygJMxgV3qvlZ/8yMESXOulpPYU3+I aImnCN4lbHYizfApbV2ZjaD7eJ4P6bSAw6dnChEYFFlfJx0deffuxxoEBcMt jaRtH2zmPNuHQPZune4U9vUtEzvchhBs6aDtJt2QWXXj6AiCDYVeNqQNso9T d08hyOm6701atN1MSZAbwDHrwSPS8wPXbHuFAPza6wSmsW9SArl/igDcPRMp Rprp6vjouxjAAz1lGdLuo8zxBgmAcVUTDdI9ky1RxTIAH/mSHEnXLZEoiWUA 3OtNLiHtbMRlf1kFgPtHfhVp3ogBPvy6B9Pm+w2kdZYVm/njx8txqngP6TxB m8FjegAHP79aOkM+r9fdltDaByB9XWIv6eUR1CoFcwApWuRB0gGj5R5SFgAN PQN2pA9VdNfMHwQYyAk5TXrDia0+5XYAm6fG4kg/yM/7bOgB0G/r1EBaZL3R eeYZgNrhyhbSYREt8lu8ADS5hDpIO1rPBPP7AVRmeBGk5Rbr0GqDAJ5Knlo6 i/3EtDZqTyxAkag7kJYqsFHXjcO/N6szIH1l/e9uegJAWIjEDtKuY6u0hBMB xnKjDpCmJVr0N6Xi6x+rcSOd1/3T0Po5AMunMIV08dkpDsd6AANNlRHSf5/2 /A5qANh2+8g4aaWfDe3JnwBaCs/PkL637VFpYzNAsuD1JeT/jyJErAJRB8DU 4JbVpM2fFc+LjAAsKRNHpKN/phPUMQAF/WBd0tUiCT+2/wX4vK7DkLSmv8ur oCmAJg7fXaQ3GK8NGOJkwWNLmcOkiZ+Bc28FWdAr4BNIWlb05FC7MAs8lFRC SB8xPtA2LcoCSgY7jPSXZ9QSqgQLdDcxrpAu8u/0T5ZhgXC/ZTLpi6J6s6eV WSAwKVBAer0Jz4z0fhZwdlb9Is34rNuw+gALHPda9JE2sA1MW3mQBa5POwZI O3lM7pu3YUHZ0c5h0jlJ/Y+/HmVB/+Xk6YXxAx9sYzxZ4JnIu3yefH97Cqhc 9GZB0QbtFaSdOLYJBPiyQOiqyyrSV4TKC06cY8Fe51IR0s2aOSuNQlkQn7tl 7cL4y9dfz8Wz4K7XOkXSUakrXQdu4Pkbh2mks3MjJL4ms2Cr4HMV0jPfz57J vc8CndAprYXrUw5vPpHLAn6DchPSOR+2XGr5xILLriftSTt7WZSuaWFBjXzg MdIb1ob9sf7OAqUXwU4Ln3fpsu3sZkF9to3rwnqWpTD6/7LgqZiDH+n1ubXH FaZZwIhefG5h/VYzt07Ns+DatbhA0vqZB/jGeHTgUfSVC6TXmQi1zYjpQHfF cBTpphEdQSSpAxoWCjEL95foZnR+vQ58GrK+SnqaXZfFLacDgUdTrpH+cjE8 bLmGDnhfSE8hHVkxp7TOWgdcTw4/Jm3llswQctAB88UTz0grSGgyeU/qwLWJ n9mk69x80O+zOsC7xf0F6VsSYrpdITqwyVu0iPSpyjyD5kgdOGeaVkJ6heTY jtKbOpBTEPuadHtl7O6cezpw/hDxlvRzd6pZWqYO5IapVZEOkqy3uJmjA6v/ 2NWQ3lPlYhVdpANjmx3fkx6RzLTzfq8DbKPRD6SverCdDrXqwD1fsUbS9Tyu KRP9OvBk8fRn0stv/m2MntYBB8EPzaRNlPx5tyzVhavJ976RvvhmsVbZal2w qzFvI/3WIsLtgJwuVO6pbifNObjiwbCaLpiZj3aSPiss9c+GA7rwfmVTD+mw r03Ff311wTs0ro90bErMiXc3dYGX9WlwIT72Jmtul+iC+s2436TTt3DXnG7X hXWzi0YX9jsqeDhxrR4YxF/+S3rJ2CLxMhs9oH/UmCRtHtvyTvGuHqz6tHqa 9EOl5+du/dKDh4f2z5B2rH7cUyunDxUx2rOktxzJMJ09qQ/v3uUtmPPL88D0 TH3YHjq+4G/bXmSZ9evDGNVmbiEf/oq7GisaAHH4yoIb7voqIA8DGBwvX3D3 1p6cZ1kG4CDBM096Inu35oYRA+C3kV/wWZVO731KhhBoun/B8wXuuaEuhiC5 5tyC75+28l+UZQjXCq7P/y/+Bvpn/xjCdp3HC+arVG/yYBiBzJ+yBVdaKx53 9jAC7pGGBT9U8A99lG8ECb7tCw6brbnbP20ESk/YC17dlFz7Z9YIorr/5yfP XMfn541AUqJvwf8HG2187w== "]]}}, {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJxF13c8Vu8bOHAzKZVdGSVk7z3v+8LzPJ4QQlEyKtkyooxEhLJCMlJWZYVk JUW2h4oyipTISIjM7H5+r9fv9/2cf87r/TrXue7rOve5zzhy3t3kIg0VFRU7 LRXV/93z39l8lH7oOaL6f9uLnaKH3Rzv4P/vet/ixyKOGf9zi4ynww7HZ/8z JbqLvOTw5n9uUwt9Oe3Q+T+3xw94Tjh8/5/1ahgMxx1m/+f3e5QY6ayo4P9b +w6xLtdo5/98UXptj+we5v/ZYCDiyYFD/1khgkOTSvo/032Xce00/s/ZsQ7t bon/+fvvnvACbpb/+XThs38CYqz/M1hoJu9W/88idG+lFvT/84rluFWD239O 2s372vb5f+52jvR9qML2P1dzHmAOO/afsxue5Lqe+c9eXPWf1K/9Z+b2vwpf 3vznFZ+wd/Uf/vP3I2x2+cP/ueV95nrc/H8u9pO660vLDoe//qwakFHCSUdf i9mys4PCe+nS/Qq2+PrHYw26R9lBInaqVDbYDR8XvTjHqcsOI/Z19ExfAvBa lM+rb6fYQXW9LlDnTzDOmwkLe2zPDjkNNKlO06GYrjznoFw4O0xduKJa3nkb V6MJrePN7OBwu9pwb3YCFjJzSQjV4QCbQQUWQ7+HuKcy4KyeKQf8TUvI5mhJ xzcORguxXOCA+IDC3F8MmfjrYGF1eggHfEFy94SPZ+G7TjM/XtZzQF3dt/Ld LY8wVZCn/B/MCeGuaXF3vfNw8fCNzUojTlCLz004TZePLQkJrYE2nHDpLP1Q V0I+rmQss9wdxAmOzGXm008LsGviYqhQLSe0BK0T2ToLcX/+1Z6zGvvhsEd0 8IxbCS7tCfRpUzkA1HJvNTNYynFemN35H8cOQNjqhsM+g3KcrqRvtH7mACQp xzT8CSvHkSkHRCUDD8ADlhcH9qyU4wtny77G1R+A45z3ZHt7KzD76ISOhd5B EFZRbhz0fYF33euU8bQ8CDQlBRV7nr7AVKRK3kjXg3Bx78F9TV9f4Onc0L+v Yg+C3fOave9QFW52OfT0cPdBKBDzTXfZrMJXFkxZf1pygdLpHwILF6ux62O1 f/9cuSDkTziLaHw1Pn/yyPSB61zQnhG7f/VVNTZ8MdOsl8kF0fdvN7gwv8LC Abf9ike5QE57Jaqq/BXuo3kz5OPGDWtm6TmdU6+xOqvYM7ogHthHt3fGmesN 7qA+0/b+Dg+sHvM8Kab2BtvO3R5JyuSBF2o6fo9Ov8E3P/zaL9rAA4ypUT3N ydvxsfnBx+l5oSdO/oT7zjpsu1vUJCmKF6J6u70CAurw/JqFq80DXgjuyWIx uV2Hb07eChcp4gX/nYZ9u5LrcH7bRHV1By/cZFthEyzdjo/IE/jOcggOitfU bY5vx9OJLAmnHII2lzuhMfr1mHPRfN9c3iHgTLnklm9ej/NGIkSrXx4Cntzj 1IUX6vH7hp9WBgOHoNemUMY+YDv+Rm6Lx6HDICT3zbUivx7nbwqlvHx8GPR/ fppbpG7ADusJD59Y8AHSdNeOyG7AiYbTjX62fCDXKhJ97GkDrssiTh535IPc Zfm+9bIGfIC8orR8lQ8SS3PZZZsbMCXR6gMpmQ/2udDhH+MNWFRKhHailw/K GhRErgs34inbGkcx0yPwcl5pMzy9ER8o57yzdeYIvGU83xj9pBETGDwqus4f AacTm/nhhY34QRE/TYDXEbA1YtYxr27EBmsRaW/jj0AbS0Dspd5GXHTXpMP1 wxE4lXqlK5qxCbu3/JR/dpwfZKpXMxWcm3AdFLpInOKHQruSEWePJsz8yuNR vjU/nOIZfZ10pQmXPFtlfezOD4F/6FM7Q5rwfMru+ZR4fmDvZ2yi3G/CV1yk S0J6+UFkqnx6htKErzFflThlJQAGISUF+Yea8btIdbvuiwLwd/ZWfZ1AM+al p3pgfEkA7lt1anwQaca1q7d26wcJgMPmdFGfXDOmGrk/ibMEoObGmXvxpGYc WlGbJzomANQq9kOlrs048syOo5uughBenBQhVN6MkQzT8i9vQTDSct4rUNWM 5+hZWz9dE4TclxZVXK+bscVzXqeSaEGQVRp8tN7YjI/uVCy6UCgIrPW23GHd zbiu4oJi+5QgWH16lflmrhkvM9cTk52PQnLpjbb94i34QmuAvayjEBhc5lBR vduC7TSEDJfdhSAonapHJakF2z//oPjqqhB8Z2zoUExtwY5pR+mJEUIQPX1n RTijBV9y73xkkSME5+Y+Nv4uaMH++wWGg0aFoH403oCuoQUnOLRbdtgKQ5d1 VPKNmRZcz3DwhMtpEbhGY/GiUasVy7IEJ/3yFgN5VsdvUyOtuHrnZ5HWa2Kg 7dX2T2i8FWtTSb16fFMMbJ9xnT830YrNZge+2ySKQZXJ2Ez3dCu+8l5Z9FOZ GGiqR1woWWrFr2/PvmqYF4PDQVbRZAYKJtPYDKd5iEODewkznRgFf1ytuOzn Kw7Ry1/4xSUo+Mwc0w7zYHHY2jdXdkKKgl2GqsVY48RB+J3ImYdyFBxby+l9 65k4JPM3/ZJSp+Ae/44dPjPiUFvBdF/DgIJtFjQlDF0lIJb4KnLPJQpmYqX6 0OMtAaEhM1NmHhRcLdNw2TJQAqSODsyneVEw+yXSK8dYCWj6Kr4qcpWCKROG eqElEtDy9SUXDqZgmUEbx6pFCei23jpmlUDB3zaOMOFNCXiVkjqckUjBkdyj z5rpJcF7kEHjRxIFj1o4/u3ilATkPYbt0yg4pdsj/LeKJEjKlT13eUzBVG03 HvMHbsdjpmK3Sgou+qlDzg+TBA+zDeWiqu3+d+yYlo6VhH0lTBnT1RRcrhMp r5khCZZ3+Xe7vKHgc+cNPjfmSsIxJwe2gnoK3ntjb4BeiSRMvOX6N9FIwY61 CQ3m9ZJwwX8s3J5CwRzfzOwH2yThmRCz0JN2Cm5Y59x1sUsSKlbfFo+8o2B3 rv6iqS+SYF2Rzc/fScE8qmknvEYkYaOcK9T2IwW3mVstrUxJgpFM9cf0bgq+ cuVwatCiJHDbMDB/66VggXvDGjs2JeHpuzDM3UfBH8oeDUXTS0Fma8Hs1HZ/ gV0Xb7LtlYIRw2kXnlAKFpsTFrnPKQVasi8iaowo+KZUoXuusBQ8bKo1M5hs xSr55Vv1x6SgILZzzFewFWemN/P8jZEClY9CJ2kLm3HaWYnPJ5OkwKNBcPZ6 UDNO4robX54uBbVys9InTZtxdJLtDq9nUmDHkzS2Z6MJ+8auz05/kIKqJ+0X k0404RPXZRt/sEmDcBHbSR2m7eeXRkqgFo80LDgpN/0bbcDktS3lTEFp+Hy1 zImxtgGjK+8KrRSlwZD8wYnaswGLXXJI6jslDQH7xbbcv9RjGuuHTh2p0jDP K8RTWl2HN7npBCWzpUFIc9F/dvv9sdLvPBhVIA18U3Sx7j51eOakiumxV9Kg XNjkpyhbhweOd2s0fZUGwZg++njzN/hLOt3Ob/tk4KConprY6RpcGqs20GUi A6S1h5u9pS/xubS99NWnZID/krZGRdBLzJz3QyrrjAy8VesgzRi8xJfqI0Pc z8uAe/V1eZeJKiy2+EWUyUsGHEYov4IEqnD26QBfYvy2aYq/J+ZX4gTB1xxV nTLwtbbwbdFcGdaSjcMZ3TIwYbp2s4xShv9o2jmFf5YBreJgTJNZhg3NmWrM vstAm1LNT1+jMrwr8qzd3IwM0PnPX619XopDZjdKxfbKwmQgccUg9Dm+XK1p /NBAFiYq8jItnxXj8jOtNP3GssBquXQx1rEYL68ZV7CflAX19znYiL8Y+6rb cUVbycKselnR1eQifO115Kj/JVk4ruk1onerEIfXfva1iJMF94L3JRqhBbjV +px4YqIslF7+SjtJKMA7/01+60yRBfns6Nn9DAU4Em9p62bJwlre35T56Hx8 p05wj1KpLLA9umcZk56HUxo8s9h6ZKFV+WF9UV8O7j+/bmrUJwspgyRtxuwc zEUbtiPqqywcCI4y6nfJwQ91UlxoxmTh6OMy8R6qHJzdVKs4tyQL6aZ1P/hk nuCnLbvbO/bLwYMq+UHfR49wbfuT+duWckDje37esi8Tlxz44BloIwebCXGP S55n4kf2a388LshBONW1BfOoTHyLxmjW3EUONB50GjzAmdhUbWXqaIAcLDz+ 5vzFPANP5OuN1d+XA06+2j4foYd44K+3XUW6HBgnheOlHw9wBzFjJC9bDmbi XOQYMx/gsuGF4TsFchBWr5wxyf0AXz/4cNCqWg4M3dQ+XOFKw2y3Zz+v9suB 6vPoL52yqXjH54Pmv7/JwQbNujbv3xS8Ikj4NDQsB09j98zMvE7Bg3UpPa2/ 5IDefXknt14KzlvR+nhvVQ7k35h5+zsnY+SY2C57UB5cT5cH+jXcw466qjVO FvJAZZRm10hJwL9FDjY/P7t9vP1t3t7UBOy1a/Xdqq08UKLDoj86JeCA91Vf bzvJQ5fi69cvmRJwrKnKRr6/PCwXuGsumcfjChtl9ckH8lAt5fNQjDYOq2nt 15HLkocTj7g3v5XfwbX8f/X8n8hD2HqhpYLdHUwZqzyzq1ge7Osc6LWbY/FX FyV/sTfyUPGyUOtpXAym8VV86TwsD7lfzwuw6kfhiNMc9aVj8vCJJjArnj4K M6kvUdZ+yQNT3l+5+rpIzLFV3hc5Lw+Ox7Qfi6pGYpGbCisFtApQu6BNMyd7 GxvGyStPHVUA23+Np2a0InBanmyFi7MCNJg/q2X6GIpb+i9QMi4pAMtR0VCP jFA8vytpoNtLAd4umB82vhSK9dzWqDUCFGCU0fPI9T2heE220ZApWgFK7+Rh 7xMh2OKV2URhkQL4bzTpv50Jxjenw9eHnivAH7bMsfNNwbiE9+VejkoFiFGp 87a7H4x3BvMqBtYqQOO5J2ZZusH4BWH8xvFOBRhKEjR7dzwIc3Zc5Z75owAl Q1/Nb85ew9r/8qX4lxSgr4hGe0fuNXxJ5qvWqVUFOHXykp+mzTXcnACOtdSK oK4U8qLpYwD2NmesiGVVhIuKMn/o3/jj7qH7htIKitCJc0S/V/niuIWaGx5X FaHG0j6d/bAPduuKO3c2QBGkRnaWFP72xnrPL2iRgxRhxKZLquq1N6Z3Z6Tm i1CEJ+1pBkfPemP/SbPgziRFuIffbqhlXsYXh6euS1UqwqRgC7ePhhfWrqu1 5qpWBHeK/kY7ixfmy4hHO2oVgc6SM/HmT0/85azy1rdmRQh0aTU+nOiJjftC AmN6FYGP0/BL/5wHVus8eG16URGMEqmGCYHu+EDxtGXfiiKw6I+oJ8m746Xo N+pNG4oQxDk7cHfyEi7Ru7ieRqcEXm2Xn8WcuYSPtpT467MrQfE6N7exthtm rtH1K5BXAoPhNvVGaRc8VuBzxdFLCbQoR4zzfR2wGe/WYN4VJXCp7fx6WNMB N90J1/3lrwQd93aflaRxwNneyQecQ5VA0kgZGGLtsS16We2SqAS5BFqZmMKL +OvHja1LlUogUj0MubR22IAQ5vCsWgkcVT/YDH+4gF9V7vkwW6sEyWY74UH6 BXw/7VCWR6sSnGb4IXNH/QK2uAg6Xn1KwK9y6wop4DzuWQmN8FlTgqOvJkxn mM9hggvTn4otJegcaDuYPWaLy74lWizTKENLgPDzxmpbnNDwRPTqbmUIopf9 p29vi42jW9/68ijDysV6kyc3bfC7w7uZryFl0It+YZ/HZYUbSQkpISHK8NF5 OojmowUetX/13j9cGeZ4bj+US7LAdBGjNJcjleHUr/mF35YWmNSq5HYhQRke qStcoP5ljtt1B7QI2crwtuz+gi+jOe4iC07RNyiDlfSLCynnT+IFx+N8W83K IDmWdeWX9EnMfvvKyeU2ZShzCcsq3TTDp9oob8Y/KsNkrPlM3n0z/OWYW2Lr sDKcLmCSYvhiin/oVWreplYB4y+eUffdTDCty3evG/QqIJN98thvLRMsGLUz z49RBY5eVkvM5TTB9m/PsDqzqEDcHDW9Uf0JPKn/b1zviAoo51+oNeQ+gecM yHFMWiqwPEJxvdFghKmMvvy4E7x9fveba9LW+phSe1LA++a2Iz2p7h3Sx3FS Hy9Y3FIBNeFvdrHf9TDfXsooX5wK9NVevad8QQ/D+4rx5xkqEMLatYE8j+Fg /fjJ7loVEIzsSNzM0cXkV0ziVQ0q0OL55Di9hy5mFr/l8qBFBX77/6mJVtXF mbuCpu06VOBvkvtJzg4SrmtznVn6pgLC/pOmSxtETEUmz+/fVIG0nntckx4E THnRKLdBpQptAjPHHbUIOE4YXx6iU4UWN7EWM1YC5mNQWsxjUoV284MN3hU6 GFoEllV5VOGY/un4SiodHEz4t2qprgp3JnP7LxVo4X9QSZ3ppwrm1PP7Om4h fIbws70vUBX23l0J61dHuFz3QCJLyHb+wdz2nFlN7GjoLxQaqQrkwFWR66c1 8QdLpG+fpgrubyxWphU1cNaVlkSJGlXgihE2N2RWwxt+f60u1qvC9znim4cd qvhUoIhwerMqvHw4M5QQo4p33Yx8ua9DFQL7+sIc9qhir3jDwflBVfBttnaP ZFfBOoWfhF9SqYHS0rDiOayE058xzM3RqYGclQaPIYMSXilVqRZjVAPNXHIs pVMRF768b/CARQ1K7qv42J5XxOyt1p5B/GpgwtwwvRijgMeGx6uJBDWwUbN7 GrgphyP2/z3eFaEGvgrfVksUZXAChTLSEKUGyep/IqL3yeB0v/t+ZXfUYN3U NTW0WxpXDmg+SUzejucbrHRF0ng04+bGqVw1eHOP5HyBRwpribA+HWhRA6Er +yTC/opjg/4ReNeuBnRTR3teVIhji8iKT6871GA2JPf9TW9x7DFtQZP+SQ12 KVz3mFgQw+klGadtx9WA+w6tRemqKF5Xkdw5Rq8O5OaaBmk+EbxjcuthL6M6 sH79Lu36Uxizpn2Qb9mjDrodnNpSz4Sx2OZlm1wOdbgRvS6BQBhb1FdXOh1V h4zT7M2OjkK44hj54gxBHaYpjuu/OgWx+5kLDX9D1cFE/Nug8OIRzJQxOaRx Sx0iw/5knW85ggtGPP/diFaHN52ZR1lTj+Bx12ANpnvqoKJ+bb4dH8HWQQ8r +XLUQSrjvvrNBD5s8PhzwTGKOiR3edkqpBzCkxPWbbHv1KHy8zsfRb1D+Jbk +M/uD+rQkeIosbnBixsrFwWt+9VhTN6crd+OF6u1sWR4TarDt33Fw7GaPFhk Rv9uGpMGwGWJ46YsXLhFrvv5ELMGFJF0BYY6DmK7q2c+HOXQgP7ubh/OmIM4 g8ppTwmvBlzhtOvx3X0Qc7KFRzRJaUDEjytdo/sOYDqVuoDfxhqwZ+ss17Ii Jx66oWCH72mAVre+fNE0Kz7KuTfWI1UDBkP3OerXsGLngp8vsh5qQKORyg+r WFa80HV/N12OBlxSfZnzXZYV7xCkLqNUakC2K5ep8XUWLNnyntqkTwOEaLuD c8WZsdeZXPHQrxrwzzy3W4SWGVfOBJ8sH9KAHsU/zLyV+zDsV8jn/KUBCb28 MnsP7MNmjveNB1Y1gI2/7Izh2B7sv8shw45bE1RrVYkOj3bjN+nQdu+wJgRw LQ6YWO/GdPJcCy0CmvBLxurk5MHdOMbyPUlUQhPqa9PS2O7uwpmF8jO/NTTh +U4Lib0xjLjFkErzqrUmCHkP7K9MZ8Bsd1O/3M7ShMT0FRssTYd39bJ99Hqi CTsf3i44REWHqfbHtlrma0LkyvkLrh9p8fT9kHLJ55rQNJjdY+hDi1uyXWI/ 1mnCRRZCDksDDfYt1dQ+OKQJDtR2z59cosaXFl+o0IxqQs0qxX6OSI3tlOSk p35qgim9Z9YDXmp8olqIp2ZWE3TXhHbs7aDCYg37lm3/aQJ9n5eYjjzV9vt0 OD/vEALXmAfx5jxbqIvtbGY8PwLOgUzWHZ82EeXkpyR/IQRHWib3mMdtoor+ 9lADKQRdrPURAzs2UexwmdUfTQT0sdYq+uvrCObCWFSsEBTo3GN6SrWGnjCL +bWmIfh8guCc4L2MpMZPr9BlIrDkVeMrU19Gla9uX9V+jMCl7Ubredpl1GL/ y6emEIFdbwa3c+ISmnid51VWg0BFk6T49/UiknASds34jiD9RBXDltACKkfm U19HEMgZvM4OXJ5HmuwRzlwTCMo8riz5tswjwzfjjvf+IGDWy1n45jCP3Dly LkZRYzCT0YnGJXOotF7Q5qoABrtujbuyp/4gtWSzwXJhDOdLJVM/SfxBja43 rebFMaikDvmO0v5BPftHLd0UMNTa0N51s59Fy26PLC4QMTCXtyfJS84gVS5+ EyMHDHt6C6wXB6dQnddhovBTDMeOroVsNP9Ea0uzcTzPMHzOEjhCifmJFPzq vrKUYeAzDFk4cOonygs6571RjUHale0kcWIcxUU/evSxHYOJ2vx0Dus4sskR prk2iUEPrQn4Xx9FKaIrxz1nMKw62L+jNxxFXYWUVPt5DM6GJTdpD40iUpmT 7Ik1DEm/J8+deDOC9g+dlGGjB5CqOuPPwzCC/k0n20ywAygnH7r+sGAYPZAK ph/hBBj7uKXfHzyMVDwcn347ALCgssDraz6MvBZU/nbxADwRFto9QD+Mxlf7 Y2sEAY6+ZavkdhhCHTt4ahMUAFziuHaH+QyidL5MHk0zgJ7jzd/mtL6gvZGy FMlTAI/PBTftp/+CghYaLh+yALB6LvO4ndKPbFvG2v9ZAiSNVgx/PNGP+F3F /RouAGRzW5wmOvehnBeVvbqXARg/fWLLKvuEOI+Qb6j4AJjkLh1evf4JRUT2 S4heBRAUfKjSrvcJOVpthO4KAOjkC7/zeaQXidFqy70PARjNs7xwj7sXFRu+ jzVJADgp36IkltmNDlVZq+kkAqiaOKUXenWjO0f+jMknATwUDdhMJHYjj0VW TY77AI0a7anJ011I7r7F1OcsAJlFDn073IUqx0Z0rZ4D6CtsqMPfD6jm2hqV 44ftelOGuh6ZvUfLz8b/hHQBvI5+49246z2SGekaetgD4FcUEZBZ/w49Pva0 rrsPIPhy94sE2XcokvNsMB4GkLhy2pOT6y06VVLzj3N++/r3OmSG7WpDcSP5 s7KLAFs/ciOC3lJQG2fSd4NlgFNmB/MOx1CQRuClNyFrADmnI54as1IQv97h oBkaLXjJPy2tKdiKZkeCt5rZtGDX9F6qNLtmJLLfbWaIQwtowlz7paSb0Xm9 04Pr+7XgHy3fTYO1JvSpRLZWlkcLfvKu9fMmNKHXgT8CHwpqwaXHidajrY3o 1n7CpreiFjixyt200WtAR/QZNgTMtSBUd286P7xBCr06XVynt+MVFxZmlmsR ySY4j8VSCz7QWO1yKq5FzpdXzf5Za8EjJSsPm8O1qDxtquiLvRZMfz83LsBY g0jTnTbxV7RgWHj3kxtr1cjiCpPSLV8tWL9az2D+qho5Ux1jCvLXgrd3vRlr r1WjO+wNVa7XtSBM1H1Ylboa9WmUs5DDteDZU4b8F8wvkXNMSuPWPS14VdMs QiC/QNf296YuJWttf09GFV5ieYFis1g8plO1wHUo6jf3QCUqq4jk+fJQC960 lbCtuVeijW/XfCqeaIFAd8XPxxkV6I7UOWHXCi04PkfnWM5Rjso7RaP6e7Tg 8IhvYpXZcxQnUP9k7ZMWjG4+S00TeY5crlrUcfdrQb8EF9/vjRLEfzhiyeqb Fuyg2fG1N6cE3bk0avNjTAsWX0SsK/57hpz3ZChMLWuBC03k8Re3ixDpnJIR 06oWEL8HSqagInSk4r2T5LoWmK5kZWgsFqK+sxvp7v+0oDMFwlvPFSJi4WnG RQZtOFKI3fOITxGfPvvgxgFt2PoapvNMKh9tpD9d4eXWBqJxvnDTTB76PK/N hnm1YW2C7b3fszwUe9+TfOOINoQTbubWyuWh9V8dpfRi2vD7tWqRJ+SiT7du R+xV1wbdY+oh2lefoOiWLRk+K21Y+vGNxtwoG4HnuCyvjTYs0HE9lhPMRovc HXJc57TByypK8+pqFjrr+VCB/aI25L57Jaf0JAtJ8mio7HTbHt+ak8uBOgt1 ePrhP9e0gWIRtzSRlIFCeM7B7+vaYFsSqBNpkIGUWslak8Ha0K5HMuqhyUDp PAd0Rm9qQ1hgs6mFZzpyb60k9UVrQ74x9crnkw8RM+/i8boH2vDZ5v4vb7U0 1NQ6YFiTrg0SIru43FbvI1+vRqPqTG0QYGzpHa26j4ZaE06UP9YGT73r2WTV ++i5l+zJvEJtkMT/mPkhFZlQLp2Ne60N+7tu22w5JaO7l385237VBo38QZ0v 4omIi+TvaTqoDY+Hv6kubtxF2Qd2+5KGtKH/G+eQd8ddVFojESYxqg23IpfE Crzuog8MHhkrU9pANrs6uLMuAe19sNwdt64NpR381A1u8SjpUsSX0E1teJ9m uipBjEe8WgeGr/zbno8te/8lnngkMa46c5ZWB9ZDvG6nv49D+jKBO0V360C1 flyvunwcutVEq1nPpQO+H8iUDt5YxJycqFPOowPB2itLRZ9jULLTUb3cQzqQ m87WKZ4Qg3L26prH8OvAAHeM8tbOGNRsEel5WkwHLMSihjc3oxDNb+acOVUd GBpA1nF0kegax6F9/Kd14Hy/d3yUXzh6/5zxDLbczp/2S1QCwtEhw6XHZ610 oGfEPF6CIRy9CX+nlnxOByYCq9xNksIQzYq/PZOzDnBwFn89/fImivjyuWbZ Xwcq3kfvvMsWivquNO5kD9SByYHT6f1DIUiE7ZmpbJAOyOpfj0kqDkHt+uG/ XEJ1QLzRjstPPwQx1ShwDEfpQIrFO9udUTdQQka869sHOsC9T0Q2ij8YjagH vphI1wFt8VM9dbNBSKHPkWZHlg5QnrXsCUsLQr3MkAJPdKCdiZPHfvk6OhAy 01hRpANxdysj+18GonQ7fe7MWh14Fdqz9MYtAOWL0rd7D+mAzyLilz98FXXx aK27/dCB+6W8tm9+XEEb+wIlHEZ1oDTI0udjzhVkuLwYe3pCBwpYzGuSZK6g xYZRU/RHB5geUP9k1fdBcLbpGwMVAfCdulq1jMvI2YhqHzUNAaYWBWRWXC+j u9oasEZLALG7np/81C+jcZHy7GkGApjrSJ3u/+KFopceOXzcRwDi+tCZKwJe qC82dO7+YQIUqu4TCfjogWhC3vAnHiGAwKE9yR25HkjcZ900RoAAQQsfQtSv e6Drlpcrg4QJ0Osk7+Uu7oEERS4E2EkTgFxIUEL73JF7vTa9FCaAsKPmZ9lE V5RSfl1JWIsAG5UsYmq6rqght9qBT4cAF5+/DPmx5oLYY+XaWXUJoPQg6ZaU nQuqPsN/568hARgmqV97YWe0Y5H6YL31tn2i3LIPOaKVkpTYUVsC0J3/qXC3 3wFNuUnT7bxAgBRrhuy6ew7ow8+zs4YOBPBtpD68yOKA7g+8aP7qToDvP0YC S7jskVSjm9dKMAGa3o9oMTrYIb5gugnuUAIkf+wIZFOwQ2yaaVY4jAC7JrJ/ vqO2QyuVFHL4bQIk+J011cm4gBoKBA6zJxDg/kWP2ZXh8+hUQv9b6Ufb+fYv nT1z8xwiG3lomT4hwJJ/5FFJy3NInYnhxZVcApzPPncyQu4c4gtXyK55SoB0 Z/HV1h+2aNLvjq9+OQEO7b9VoXDMFl0/Rzzq0EwARskg8iFza+Rx6Ov9yFYC 0I+xHzrLZo0uDHgxF7dtz9et7wqnP1gh8snM9cX3BNCefqMdaGCFWI+tfwz5 RIAn8Rfyhg3OolyZ59fTfxLgaf2voXqnM+gSx9zqi18EyHNTP18kcwYprMn4 fJwiwL34ucd0K6dRXWOJC90fAljtjX0wEnEa9Z0qsXBeIcALv7Sk708t0M7A Z3JKjETYYnjS8pzKHHWcmy0y2k2E64SEBsF3p1AiSVrUaQ8R4qVmlauSTyE+ 5meHH7AQYbRv7bWk9Cmk8qiYiYaLCCRBN69O65NoK2ImgpuHCJddpgIaxE6i JlcpWsVDRGBfHzxTsmyGjJWKVx34iXBDxZiqN9YMObYVjb8XI0J2B2+DZqcp kir+fe6nBBGO90u+OfDIFC0mSH6jkiYCWzvrw/O+pij4bFG3vDwRduWYHeQT NkUkrd+GxxWJQFYsJoVQmSImIcl2e2UivJrv9ZIZMEEps4V1qepEOAu3x44n miDrnmn1Mk0iJHmzvHrqZYIEX0q8eIeJwHf4XJGciQkqCSks+qdDBM3DxjtS 2U0QhaPw/kUDIpg1aVp2PzmBYtemOIIMidD4qGsiLPoEMvsuHp9iTITK20c6 ub1PoKG8pxFvzYig83y8sYN4AuXETNGMnSLCVNLpc1+kTyBXL/HrWxZEkHkb 5JPDdQKtqD/1lrUiQqnD98NW88aolm9qVs+GCGuXOYhK343RTXpxF7tzRNjg XNkqfGeMmDsLziVf3M7v9NrQON8YiZ4vMNx02+5HmVXG39EYUR6qlcy7E4Fy OGX9+BljZN/fzjLhSYRvC61llwyM0WPjqZ4un+18chap/rLGiA9LWOYFEsGq QJNhet0IcfIUO5jGEMHvY7PRXQUjVGGO2sh3iBBYsBKlyG2EzO52iKF4IsQt c3DfoTZC8btmf4vcI0JrrE+c9HtDxLQq7b31gAg0RnGuqdaG6KlCXe9COhFM jAd7nLQMkZ6HsfKvTCJYsv4wCBYwRBE/Pda6H2/nD/JoJ40dRzSfngfnFxIh KsYjrsjqOMpi0f6RXkwEX0GF3fyqxxEc79JJLNnur83XxIXtOApsmt8RVE6E a+OTj3WaDBAPVaijdyURlGT1bSrvG6BqdbZ2pyoiYNkEQrO7AVoplY8xe02E x39VZ65zGKDkmcaZY7VECI5/f27PuD5SEjMzxnVEcIoosv5Xro8uZ3mziTVt z79UlUnvcX00c6ci9d9bInz/+6bqtZMeinlL3F6vRGiLDt/jIqGHJBg+nZ3s JILHrsahe3+OIafry4d7u4nQUjDbEnb9GNpZHX6jvXf7/q/L3qNMPoZyljhH 3nwmguzGJG0h2zE06qqcUzCwff+9rbN/+YyMQvNaGTK/bY93goUBBZMR/6i5 073vRCgavVZrbUJGtpa+EsEjRDjKIf7FYF0XDRx7WXpyigi9v6NTW6x1kbbR Ywuf30TQEC1YEVDRRQVmd7YSZ4nbP0DM9Qxsusjf5qJezwIRukxC2WTek9AP O+M/C0vb6yHH29aykIT0nNWT2FaI8PCk34Mv0STE5cPyw2Rje71OhztknyCh EP+NCK8tIvwa8375UZGEJoN+SiZQkWDQGoL5uUnoZWSN30c6ElgtqM4vTRCR RaYTi/EeEsykI2baOCKqe2L2wn0fCY7EZjz/GkBEIk+x1R0WElARvLq9HIlo pYIjv4ODBLrCyoeydYgo+W09HD9EAp+mZt+nVES09aFw3JWPBPeG1VsY5gjI /lNydDQ/Cc4wVWW8GiYgpWG3vrdCJHAsjr72t5GA0sctrk+JkMBLuV3bvoKA dkzrCO4WJ0Hu3GeutRwCujQn1S4mSYKJiyL2OSkE9Gn5oIeeNAk4eKXCrSMJ qOuRvyS+TIJx/y2WzlItxEpV+VLNZ7veay/HjsRoIdOzc0SlqyRwvpb4jtFe C/WwO1pLBpCg2AZd28WhhT6HnbzDHUqChtkJHYFrgA78iOPeH0aC32qTn1gt AFmgd7msESS480Wf97MCoC/L2nWMUaTtj5Sa3ynDGH11kJn7m0ACOhbm4B8j CPE0uQQuJJJg3fNRFlceQlZ8uYyzSSSwz3q+WOmG0GAfL//4fRLMXU9LXN3Q REPHdpv2ZG/XUyVzo1xME/HlkL53PiaBB6vQIveqBjpHE+LyNocEl22NL2RT NNCP6pXQhgIS3J7OTPvlrIHGxMfLS0pJ8Ipco+r+Sh0J3TqiVVhOghttY6Zf 49WR/ejZ97mV27bbVBBwUkcTD7rH0qtJ8HT91HNuLnU0uaeeM6aBBFXy2KL5 phqamU3zdeoigcA0jnLyUUUrZSc0+Oe364sdmbCPUEZMKkodbIskuDWYfvCn ozLie81lS79MAkn3B6VSesqI3DQSOrFKggL6jZCF3cootcfnbTG1LuhMPbBz j1JCxRZnrDJpdUHtaHU6yVkJNXxFs/H0ulBNf5LpMVkJTY4ysPkw6sKKa9bP D7RKSG0p9Yw6iy7oV41e3HtZERn6XZ+WYNOFOUZMK39cEZ3fPH/9EIcu1DiY ZDwQUkSR9BLZ1Ad14cGaluqhzwpogKP2VyufLmifS3y1LKmArin98DWT0YWx YJoPUm1yKK66ZRdJThfmXxpsdafLocfo6QNlBV3Yw0JLvcdHDr0jeddxqWzX M5D1QV5ADvGa79g5jHXBVEmk7Gi4LKq9KpbsZqQLKVFnTgtclEFd63tFbU7o QpGnTpeGjgwaD1qoNjbVhb9BRqadR2TQ3luvB+XNdcHpWaDP8zppZJ1iKLRm rQuiUUteD5ql0L8qr4rwS9v9nehJTP0rgb7uKI3K9tCFKR+PV5TXEqjabO5c rZcukNHRi70hEsj7j/ve5Su6cKZX4egVFgk0IezmcDFIFyIoHnesVMRRV5LD QUKcLtAJ36DQ54uiZ6M5szYJuqB7xat5t78oipYbbw5I1IWMd9NdBfqiSLfD zqssRRcO5vbRPPojgl7Tn3/Ln6ULUnUsM7RaIuiJ99lA6lJdqB+XKm77K4RC GtJMect14XFkgIXNByFkyzwgqlqpC7wp9ZnH8oUQV+HpTx7VuvBpZ9LMrrNC KHbklPRQw/b1+z1aSWk6inxNTgzXdutCkBBUemUIbv8/kYjXlnQhMWD/iVhL fkTV20vt/VcXVDKOMUyp8KNKv4u1Lqu6UBcg48vFyY/4G28qW27qgnxsX/ZI 5xG0drJRVI2eDCrWLyg1cAQVBMDeFXYyJHr1Vu3m4EO2fB/aZznJcIGX8Ed8 8DDibLaJ+HmADBv2arwtCYdRyN4gqs88ZJA1HBeN3DyEzmTVzFcIkmFSv+eR bj8vYmxV+3xZgQzTW50tBvncqNal/a6LEhm4d818uHuRG3kznzG+oLLtHEYR S35uNHTar81EgwxDJcN2Tg+5UNX0i1eyBDK8+lNU7J96EDmyKmbOmm7nY7su fTR/P2q1knZyuUyG5pcKBliQHZHeHXSO8SHD7pBSk8gpNtSsRufy7CoZPKQt HW3K2FDj/n7XhYDtfl4X7cohsKE3H0M8Am6SwU9uQDLVjRW9IH66GnWPDIvi 3jQv+piRUnmdb1EyGWjvP0txz2NGFfxP/TpTyWC7st/uqS8zKvsXFMCWToa3 O/+MFHAxo2cvRYPScsjwb38Ie0DbXpQrGRj+9AUZKB47dj86woSEHjhEvH9J Bq0t1f3sH3ejJ7tMbs2+IsPzkLf9gTd2o0c/hSLl68jAdIWRQ2VsF8rI+hDz ikKGbskVR+kqRpTMIXjvbT8Zyri+FDtFMSDOm3uTfg+QwejNbst/xxjQvfmV pH2DZMCeGYzBjAzobuf7FNMfZHhGM0OFo3agO7evPhiYJMNfGmmrtFR6FLHZ /mhqnQxypX6Le4ZpkVniwaX1bY9Z3I4P/U6L+MQdSUwb2/Weu3Bu9Rstqrag /yWxbasUj9SxL7RougxLXdq2cnGzc10PLTJ2Lq/6s+2WoV3xQRRaxPX54ful TTLU5t8cFiihReNu04d2bJHhtMtqT0YxLSqjU/fg3Lbnw53r3EW0yECuj1V5 22Yn/wyyF9CioBhWC99tJ/O9omd8TItGdSJ+rG37buzM+7VkWlTypVd+9z8y VMWfmvRLokWBnoJh3NseYNJSXU2kRZwZ9cIa27ZwS760Ek+Ljq2tuwZu+/vI YeXVqO3j8Xq1MduuLvf86RdJi34Ip+5L33YItVr72i1adO2kUmnttknMIsKb YbSIPH2TtnPbtt16Wddv0iKO0G6z79vmYh88ThW6ff5B/pzZbdOYDkmE3KBF xSUef/9tO4/ZGNEF06L/A+ls6bY= "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"S (scaled), e[t], R[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 50}, {0, 3}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.41778127183049*^9, 3.417781358304315*^9, 3.417781391746983*^9, 3.417781609740444*^9, {3.417781650446424*^9, 3.417781755223042*^9}, 3.417781786260633*^9, 3.417781847100115*^9, {3.417781999430811*^9, 3.417782044963475*^9}, {3.417783352238054*^9, 3.417783377189036*^9}, { 3.417783448963147*^9, 3.417783485922671*^9}, 3.417783853276854*^9, 3.417783896424944*^9, 3.417784056067356*^9, {3.417837491133914*^9, 3.417837510022881*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotMutualInhibitionResponse", "[", "7", "]"}]], "Input", CellChangeTimes->{{3.417781767765467*^9, 3.417781794055885*^9}, { 3.417781829960942*^9, 3.417781835071107*^9}, {3.41778200943048*^9, 3.417782009790174*^9}, {3.41778339652356*^9, 3.417783440962846*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxdlAkwnGcYxzfqSkQi1BZRd+qIsBsirg1xrjMEdSSOIbLrZoXSuo+YiKNI paqWElVi3BqRELuZUpKULo2WTCXSEENLgllD2DYz9Tzf+Ga+2fnNc/7/+36v anDM+VAhEolU+t/7/leteLuOrdR+hvT/49gn5jrHWLbY5SeSRvuF/UmWu2xV bDvQcE4cOFR/U5IqKQXsoh36hmz/oeXtpvePkGXHRGrCsLEcsJm0TqtwuiIw Y6u0qt5HBThmcN6g1UUNON9P9Nh2pAZwyNAXl6nMT4A5YvLuEb5awNQjGeUL V3SAA1dpuq6RusA17J8U+YV6sG9Hkek07zwFOL6X5lblTAXuH6l/e+3CSWCm vUlfmI8BcOUP1O6IcEPgL1f7MmM/OwX8qikhkckyAn5oV/p1VtZpYNK5qdni DGNggeWP+2qSTYDzPuK78PJMgWP8Qrj8bDPg55mGlyy+MgeWKauYuvYdDbhe Sid5qPIM8ABL2VbztgUwW6VGkeZpCdyXsklijiGrOom9U/c+C9w1qn39jwnk gsEdioq/FXBZ/EJ40DPkFFmlw2q+1sCN2iIjV54ji67tk+cE2AA3UNrT2PPI 2sFNrttRtsDTDnc7vBaReXWfn7CItwPe6HQ3V3uLLOhhdV+Ntgd2otjZpqwj D/nrh0XE04HztkfqFreQW9pi+QIB8kjJdNxrxgx8H6J8xX+ETx2EuG9zq0Bd RxqYlB5nsGJBhvNHFwp8URl7HJg0nHlLLfUEsFBAVdgvFfpQrzBZ9WR9G+cP m2bfXWKMwnwNa6r3p1YHID7z98TVpqNHgCl/BjJ71vD8u6dRH87KYH+38K6e lXfY/3WTeG6n5iHg8fD8pCpjGeAAV84jbXH8fv6yzpvd3MH6nwt49HXGA9jP IOyehIC+H+K1RYyRqBt4XyQVbS0vjWG/pU4LvWjCPvyxUpOLepLA5RIf3w9q R3+Z/aVcbw76l14o7ZNE2EfRxcp6vhb9kBrhG049QD3GjV07HAec77C5FZlK +L8HKXEMUWYr6DFNIV32eIz3n/AMJXLUDfUUlAeJslqxX6+PyIIuQc/Oy8my tnY8LxsX5vy5UainyzrfgFaNepxP/i59mqAnrUriFT0Q9bAUOE/NUlBPjl5z TIMmzidXczTNCXoM73koCNZwnqJJpTvrJc67/23WTQ8pvL9TvIw6+gn1nKSW W1rMavCjX0S9bLsQ/TDMk6WR9NGPcoWyki427qNynGl3kOBHVtTmgF88+qEl /Ehv1Qn36xQ2iyUT9LfYrnQn01B/Lbe+IdIP9eu80dT6hozzUuM0co8S9g8N MV7UH8f+3C3ygVAe6p9RlbnU+AL7zWpWHGYT6s+ynolIsDGemKhckb6G9Wm/ OnDtj6F/stnjnjOE+jvi2spRzGLwL8Oxq5EXjf45T+fVyymhf5UXdSe9ylGP 5w359S3C/WTTcX1S3xP9s/Sh3ZQwQ31zUUtKogT/BiuClUp10b9espxUrgPq SeWF5sgcwnltU78ZSBD2T7vT5EHnYv+NhNzHnDGsJ5c49hcS8v0GXaPVCzE+ 7O2/vrGIftGXcj4YJeTbhKQym5cxv7b9jOFTPubPyqt9v0zI33sf7c3fe573 9t+N763f5X8BVQ5lmQ== "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{98, 145, 146, 139, 117, 136, 97, 113, 77, 90, 57, 63, 15, 56, 14, 13, 12, 11, 10, 9, 8, 7, 55, 6, 118}}, VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[{1, 120, 100, 83, 70, 60, 52, 2, 3, 4, 121, 101, 84, 71, 61, 53, 125, 105, 88, 75, 66, 5, 122, 102, 85, 72, 62, 128, 108, 92, 79, 54, 126, 106, 89, 76, 132, 112, 96, 67, 129, 109, 93, 135, 116, 80, 133, 114, 138}], LineBox[{98, 118, 6, 55, 7, 8, 9, 10, 11, 12, 13, 14, 56, 15, 63, 57, 90, 77, 113, 97, 136, 117, 139}], LineBox[{68, 130, 110, 94, 81, 16, 123, 103, 86, 73, 64, 58, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 124, 104, 87, 74, 65, 59, 127, 107, 91, 78, 69, 131, 111, 95, 82, 134, 115, 99, 137, 119, 140, 51}]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], LineBox[{142, 141}], LineBox[{144, 143}]}}, {{}, {}, {}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJxF1nk0VVH7B3CEiMoslLimCKUkmZ6H3EGjSiUSzYZEMg8hU4QImaeSKEnG qESUKJIMlcg8c5JCxt/pXev3vvePc9Zn7b3v/T57n/OsK3nG7vB5FiYmJnvy 8u9OubV4L0X8qQ7Tfz4/oS6y/crQxR/w/97zcuWBgYvEf12/Wo2T1YwJ/996 t6gVDw5y/Nfnt8ytVlnN81//GG8OfCjG+1+fyHmyLKXA91/f4drwwuLp//zZ OsQ1WZ3/v3YQrWzV9PyfeepmVL+9+p9nnQI+VDb+zz8k+c9ld//Pb+vT5iN+ /c+5bspRrisEUFqTxrywTMAdmRcKFgICyMp+9pUb6WufDF7TZQRQmbs7wWCJ gAtebSe2qAlg6c2Og64LBOyXPz8pRBdANo+ZcN45AuZuOj3vOCaAR+9TrY/N EJA1ERCQcUEAs8L+GCj8JuDYoTsHbZwFUNx1XD/6JwGshZki2wIFcNR0bW/C GAH5QiW9szECOM9rN7R7iABzt5rHr+4LoJOQ953oXgLKdIZ0978RwOpPPLLw lQDL9FkugRYBLHgVOZz2mQBBVs7Wb30CuMjvvLOsngD7WnlrS1ZBPOHYVyte SYCskc1tv92CeLeo/MBEBgHNxR4n9xwRROaZvqT9yQT4ioTK8p4VxNcZZ8Qc Ywj43plTlnJdEFVZT+aIBhAQZTXRU1opiNWGft09pwnAD0s5Pp8E8dGo2KtI YwImlNe60LsFEcI293IfJGDP7y1cLUxCmGl4icdKk3xuvK9s/wlCGFY7a/eS l4Dcbt/F4oNCOHzI7uZndgJM9W/XeJkL4av80KHi+Qko5iww5fIWwkIVFdP+ vgm4FP3bT7ZcCB+vU6/5UTgBX7Ndmk9qCSPviev71fdOQCD3jRSpfcI4I6xd Lao9Aap2cZYjpsLo8YmiUqs8ARGqpQsuHsI4ecQ2IJh3Amiv5qSjyoQxJmnT xZjmcchv9nKqVV+Heqa79GoMxyEr4NyZHoN1GNqgwz2oPQ4pansPzpusw3XR AbvfKYxDSNw6eSWvdZgeeq26YcU4nD1Z8D2ich0G3qzvHckfA4G+od3Ge0Rw xyzzLRO2MVgV83HrFVMRnDpWkhg2MQpMtOINIZdEUE38fZNv2yiMPfCbeR4u goS0Y8vjrFF4YyP+aONnEbQ3Wv1dgDEKzlNH+AZNRXFYPrhZ1mMELmVoLC9f EsXm/ef17C1G4MxRybF110Sxb98rew/qCBwomXizJ00Uy4o6sW3NCMh5BLvl 9oniARTny0wZhi8sr7qcbMXw7k+vzEf5Q6DJp/CE1Xs9PtsiPJyVMwANzCa1 9bfWo2nQUmVPyABYTAb33klbjwdZ+8a7LQfAv3FYWP71ejTpKjm+VZqcH57t s59tAx5eDBVfE9cPFlzyh+/c3IB+zVOZTY594M+66Y9cnDh28EZkP2LpAaHf x9dOZonjsPnijaSv3ZDVGyRfViqOevn1L47kdUP960Gzfe3iuEvD6YqgWTcI +T54ay++Ec0cuEaHCroge1E2rjRjI7IUSN5redwJF+dvJ983lkCaZWd9/+AX iD4wVuVmIYFlnZ8P3Ar/AhXp1JH9lhIYrt5u3a/6BdYxZtWmXSTQ0l+cluTT Bu+izRppsRI4ydEee0qgFeSVN60YapHAeOfH/Z3Kn2HU4qWlwhFJFL3HasUR WgfrCoVuLZlIYjUtcxvvx1rQX2lf1HRGEmVEfzx35auFpMcUFg8HSXTY//5q UUIN7JsLSnwfKYkx/qZHLxdUg+v+7srUeEks/XzeiJivgow0jaGr6ZIo0bAk n0StggXauOr6p5J4iSM/j6mjEh5HHW641CiJM6liB+2wHL4NPPqNXyRxVX0p 9dbYC2DXYBMT7JLEfX3VVVnJz+FUV8nFl4QkTgtP/3LnKYWQ7bzhkTOSqOtb uE3kcwkUB1oXnl+WRNv8sWMeScWwRmkD85q1FLRhiqf4UQtBw8dZrkeIgjN+ 618ryBbAhc8f9xeLU7D1EGdh7Np8KHe7nnBKmYILjN7zAYtPYORDe8U2NQpa rJzOmliVC0ISOwbZdShoojNtV6CUA3ZvB7c/2U9BH/aYgfPFWVCBOTaKxyhY s1zssWUhE3ie29/LPkXB1RPm0+yn7oPFjh3tshcpqBI+PqH2/R7kPfnLl2FH wfnwpvvvnO8Ck0L5HklXCgq7j6b6KKXDoYzr11N8KOhwpmCqbDkV7orTy8SC Keg0miKu+i0ZfsVx/YqLpKDWk3fu54YSQY+/UV4ogYIDBm55zXIJEBUWfTrq LgVfiDSKP42Jg76VJ+J5HlHwY35fT5dyLKhe3/AprICC1IW9a9b/jAH/hW4O rhek0+f/srRGQ4tzJt6opmBOu1r39o4okJ20dmWrpyCX5+50M5YocLbZkne9 hYKu6ZS2A3q34W3/1OByBwWLk03EWBMiQdji2UavAQq6WDB+5bBHguU3z+Nz ExQ017yoWRAQAc+MdG+5zFBwanGj4UuBCOD4yFbze5mC/jnRvCZnb4GxQd3S FQ4p3Ol5eFm7KByyqsLVCB4p9PxjUfxdLBz+ah+5fElECuXqXN21o8NgzzPh zGFJKdyiNGnVIhYGCdu+d1xQkMJy/vkCm7xQGMlJE+zbJoV1KgYbRAxDQUPu /P7TmlKYutl4ceffmxCSLh/QuVsKrwnaSZ9+eBPaxSZemO6TwtaQNW9Mz9wE Tx4XxWNmUmj1uupoZ08IfAjRPPf5vBReeSdz+0N2CGxgY0oyvCyFT6YPyBx0 DIHyvze49npLofPXLaz8fCGwxnH/7ndBUlihX0Xz7wsG8wleD2qEFFrUZ/j2 PwsGpt6EEUiXQnryBvC4EAyGZuaUl9lSOHaWy54BwZDeJmWikS+FL0ICUU0k GPQ+5NSqVkmhzY+H/n8+3gC/ovIs+X4p5N/aZn+bdgOat/h1ZY5L4ee2qPoq mRsg/ZC+TnpaCo9KiwR7st2A6pTGIPGV0ljg13/q3NsgYL/Rc4FfXhqlaA46 lvuDIMSEXWbxkjRWsJtNsNoGgs5W7ulhR2mcvCTludUoECbZ+GpaPaVxRO2v aapmIBg/3WCVFyqN2zIvsuhxBYIMx47HZ3OksZnJjM/zcQBUFJ3dUTcqjXav z2kMLPiD400r9pIpaeSW1dKpHfQHudN2bffmpfEDC6dcV5M/hHN7uHlxyeCn +OoHmdn+YHr29sutm2XQ3B2WfU/4wzRPJTXWWgbDbqhMfav0g4cDb4X8HWRQ jzdUNvuJH5i9+DBo7y6DZ4rMm9KS/aD64pfgPSEyOCEi+5XT3Q8iy4n6xWwZ /L16yq1Q1Q8UL4kfOzcsg5PfOUUX867D2RqPCyqWshg7d6phz2tfOKcle2Da Thb1nW1s7xb6woWnjTueu8hiqnpSnsADX7BMlGGjBsliYkpwOT3UFy7bfbxn nCmLl3n6F34c9wV3Yalu7z5Z3N5hty5xygduX6wzbbCQw90bE1q8NX0g+rvj 7ihLOdStNYzJ2uoDMYc2bja2l8ODpRaifTI+EKfpONftLYe/77kv3ubxgZS1 4vF/UuTwNY/mmph6b3hYcqV1fYccshlrev9S9IbKlSKHbE5swsmLcdpXV1yD gXvKe76e3oSsyYdXHPvpBdyov5tuvQkf7GhwPtHhBcaudjukPDZh60rp8IoS LyCG3oi0J23Cn8V7qCsve8GGOoeePV2bUNRCYVqtyxPcQj9cVbgoj1xiazJ3 ffWAlE09l+Ls5FHc5/j5u7UeUF09c57dVR5j0vs3SJV5AM8ixbjnhjwSNtoP bRI94IGtm1bCQ3l8Vsr0W8DcA1oOyLKtmpDH2Nbrs8kj7qDC63Nn2FEBV07z 2anyukMZR9umGk8FlP5GeSzO5g56TMrPM/wVMFG9pnPdXzcwItp/mEcrYJas 4F+tbjdwrt8p31qggCrXTrvr5rvBi2Di+etfCnjvjEGp2HE3YLCYdyfab8a1 qSZ1Rx+5wqe/RVfdXDfjMn9APGe6K5hMcrMf99mMP6njCXV3XMGmq0yBL2Iz +o+/1bx63RXCy4UcbzzZjD4c36lHTVyh2b2B3WliM2aObbhizO0K5lPaigcu KWKNVVdWrasLcPMxNTY7KqKq5q7vinYuULb19VVTL0WMFyviSDrvAgKXac8t w8nx3YLrUg67wLuhA3v88hRRuEaOoazkAls7zS2f/VbE3Enbc5f6nKFjQZIb FhVxf/qOrIB2ZwgR63vyhk0JtxuWZ2U3OUOfseVMk5ASHsy0DOStdIa4z/aB 4+pKmH/Wgn4qxRmYan0zKF5KeG3OOqrTxBkeD+5mZAco4WeJXSyJh53BhJ19 bEu4EjpmGIid3uMMhbtDtmunKmH9oW8sqzScwbL89uvjlUoYUN6d9kHEGQQ7 jC501iphMLPY4WZeZ3g9L7TqfJMSHhnl4OnndIb1uxIPOfQq4ZchztOSc05Q e9zsz+yoElrEpr3f98sJnJ03xnv/VsJxYd/jviNOIBXTrcW+qITq5VmFr3qc oLHgXlcomzJSOT3zu787gVfTeX/+NcroxXJkxr3DCRQm5TYlCCmjcLj8Dw1y ftvakfcSG5Vx//jN+IvDTuCvnGP3QE4Zj0ivecpE/p7K/sv8yluVsWPXtaor 807QabO1pFBdGfXZXFLOsDmDenbhUqWBMppnBpauEXWG/hrnu4zDyjh9L4M/ UdoZbg+o0z6aKOO9WgZobnGGMamXYd9tlDGrdknnnr4zpKW8WT8TRuZRX2T+ YucMiScV247eUcalgbCU6+7OcEc0KrIwRRlXuUWIbw9whtA7FuwOT5Rxk07S nfsJzuAaPk+MNSrjc+bito9vnOHQNZWqHv4tuHGVqfvODS7AcirZqiF+CwZ8 4+EMaHSB/HCN9qbDW1Hiz6H0WgM3uFqmbZi8TwWTPzxd4XvYE8rr7v8KNt2G PEV+y7rcPmBJ3/XSyng7Gvryj7fwX4fELJUiG2tV/EiNFB9K84eIqZe+9i47 kFw0XBwRBP0PnZwtHdRwv8gywagJAaMNS51Zzmr4RHpVnEVrCFTfCqQPu6vh TRWLL9f7Q+CuY+w6az81fJhduGdwxU2w0Ckts4lWw00hDvwqujfh+6eFpcvF alj5qkPi08ub0DzrF+Q0p4YrHKYaQl6FQhXtdtz16ztx4m5Z6InBcOi78Lze PXAnntwXoL1rNhxYg/pYrobsxJ2MldnSnLeAVqNme/b2TvTkjfouvvkW1NHb dfXv7sTYbuexdLtb0MSQHmV7vRODtredG5u7BT17irWDmdWxUl890z4sApgO fuu55aOOh3gN6L6VkfCu/KiUo786XvXzjz73PhIilD+dNb6hjn8UgzkOtkSC xJp3fRIR6hhaeNxn13AkYH3RwNNUdcTc6MvneW+Dz97Ikc/l6si5Xjhg49nb wMRg/BJeVMcJdXqiIXcULGMxc5rbLrTkM4i/4BINJvqDdV+8dqHkl9/njvhH QyF9XTTv9V1oJjzHvDcyGiwPuMv6hezCGkGZbpNH0dBoqrP3QuIuDPniEbH0 IxrSnd9GK77chcfcL76z2BsDu3Na5UqZNJBFqXLXuMIdCBKe2d8UpIF6gkb7 DvLEwe1373pf39TAmR2hDns2xkGKW4JbwS0N5Kj/q3FYOQ6K27XvR8dqoPH9 1NGgfeT/x1T/hWMPNFCQZ8k2LDgOdDfxPWp/q4GLV16sWMMeD/PqShz9bJr4 dzDs62HOBGAfWUpu4dTEeB3HhWWRBOBLbNz+drUmtkyoPH+ukAAKi1fNHwhq 4jPTV0bm+xLAuLKs2EpGE/XkFAeMIxKgyIBxfkJfE5PV7qnIiCWCncnZ1zN+ mig9ayuZqZUE3KkjXVo3NFH1MeeJdsMkeNh7Zdk3VBO7P07ekD6fBAOXfLS4 YzTx5rGRXVNhSXDKO7lYIlMTb+dTh/y7kmBfRttDg3ea2HghpywyOBk2TeyN SuTWQl9v8dgNYynwdtvnp108WvgRHmzjXJEK51xMGmUEtTDW+oEnt2gqpDJZ rc7boIWymXtSTBipIMQfGFStrIVPd/HmrstMBVb1Co9xQy0cZfcV27A9Dbp8 Vc9BjBbauN/7unIxDWSE1oTbx2vh9Udljh2c6WD9cLAkPVkLW9uHciuE0mGq KYGLNVMLnc5a78vbmg7s0swF74q18PEhLqra+XRQelvPfPiLFqoKJTATjeng vupi6jkxbVzpNdrxoOAuvErB2piN2qiSKWN94vVdYN0uOvVWShvr/NL0xD7d hTDTepq8ojZyUdx2N07chbSc7RPjWtr4Z4uuJsvme/D2AJO2yylttDKPjEjM vAf8UfHfgtO1McVs5/2TjzJgVQv/J4f72sgS69gh8zwDmITDa0yztfHhYpEy 0/sMGEu4Xqj0VBtnk1Lch0Yy4O1dm/BPFdp4XVvzQMjm++Car60n0qWNYpoL 4vJ598l+0J2dJa6DP223F4XVZEIT/8m0SIoOZme1cOV8zYR3R1vvuMvq4JqJ wy2do5lQ9LXOb5+yDhpnfNl5necBhHcXmP3U1sGlujGPKpMHgJMBvOpmOhi7 tmRhz9QDuM+j4FaTqIObeguDDu3IBuWBE7OsaTpo6Xp9iGlfNhQ/D3bRy9DB OBv5LfVnsuHthWGnlzk6aEL1U3gZkQ1DL7IcCl7qIG9pPxPTRDYoWsldSv2h g9yh+oqauQ8hv1La3EUKcMOdLvNxWg5oxBp1FsqRPiM2G386B6ou+Zv92gy4 nfvgiJVnDjQL95naqgIqNl6rc8zPgWnbe8ZnqYD71pxY1JJ4DLtEKYcPXgRk 0bO68p4lFyocNlLlHgGaqg9ZxPc/gbk/RMT6J4Art3XLBDHngapbxXfeAsCq tGdeRjx5kOV92nGhDPDPmU20Tcp5EBF6796nOrJN3f9sVGKdB+aZciyeI4Ci AjSXsME8WB6LNR8SQBToUzz1++dTSFL2YesVQoxo5GOlseSDur3lo451iBzP utxz+fPBYUp9pmk9ovzSzJlqtXwY+Ps1/KU0YtL30s8rr+VDA/v68tuqiJu2 B2hzk8FSJNLWaxshapk9UV+zpxDWhKi8UzqGWBPBl7TuVCF4T72+Km6MONHS fU7boRAs3vbXLZsiriHmXrQmFALl0ma312cRK+yP3d03XgiZJcUt9KuIHRsd VS7GFkHugfrww7cRVRlmeleZS0D82SmN3dGI0xeMCSGRErgl+bN/+x3Eq8MO At+2loD9bz5twQTEomdPnV9ZlMC2BOPRtnTEgPaVVlyvS6C4v5du9pSsL6rT oSHkGbz0nGOybCTzJais0lErg+knAz+vNyG+ihq0CjYqg629TV3JzYjCa0Vu M10tgwyDRxWfvyCOzFZtuZpXBiFCJ32gG1Ftnt/TXuk5HMt7uSz0C9HFvJTO svUFEL0+S2/4dfHUVOkfnRPlsEnYdqJLUBe/RI++8PIqhzN7TnTOC+siS2Mi /Wd6ObTmqZSrrNfFQpUNT6+MlsMLrx6vZGld7HaRWzfu8wpuCOsvOu7QRen0 lzJMphUguXflgtRxXXSO/vFnx/1KUG3Z3SR6Qhc/Xra+e6q0EmjmPlm8prq4 ZRu3a3p9JVhf/Wu0fIp0lBC383QlFCaOPv52QRdTY1tazAxeA23so3mksy5q pP0th9+vwTosrmopRhctDxWMcJpXg6dwS/yfWF202G0NOc7VEJ7Oaz8Wr4vH U+rELoVXQ0FRyPpvyWReyZ9N+uXVsNDh6VR0XxdR7udas41v4JbyablLRbqo ttjpCINvoPCj/M2vzbr4V39sn1d4DURIVd6fa9VFH+XMR0dyasDGxbhC7Ksu miRdtDOsqwHKxqA/Zh2keWVSX7K/g1uX+8x7+nWxxTNqwsr3HVivTlUdndbF 1b7H4qSu1YLEXoHOhXV6eGd7nWRHzHtYSHk0u0FMD0/PmIqWPHsPbb/0+GGD HsplPe0ua38P4QlXGL6Seni50BOR8gHmhxvy2RT08P0Ppe/6Tz9A643goDWa evj240wco60eQt8ubZUw08OuCa27/ZKNgFcGVDaY6+GP6yLhuaqN8FusYZvo aT2cKqj+EEJvhJNXklUFzuuh8oH1J71sG0FpvZY6h60elgbFm+wta4SGK27w 01MPTQ453Lx1/BPwbPi9vyJJD7ONXB98S2uCqKvD1hbf9bCZ7269iF0LiNLc rxzp1MOf9w8kmAW2wN11XK60LtI1JYGFyS2Q/1IxQLFPD20VvYoSP7RA40r7 1NlRPZy7y6JwcHMrrEma/hwxr4cJKSaWjLFWuFG9QrtSdDd6uHrss/b8Ap6C 4mspJ3aj50rd+7zN7ZAtz1bn2LUbOTTuN3kudgP7b2aRylP62B7KGO3fMQCz eXHhfRb6OMjPOlfEGIBR2y2sHGf1sW2107EbpgPQOHiSOHBRHydvU+y2+w5A QnvJm+92+nhDuUw/9cMAKFfZOsz66GMP3/Gs3LODcOz21/db7unjoTSCLSly CBgH7XWP3NdHl3qV2EsZQ6DJvbLE+YE+duquM9IoGQKJQNW7Lx/p46qnO70+ fB+CEbdbrnsL9bEqMqrqjdwwXDtNlbn4Rh9znsc0fH0xDA+2Pr2WMqiPfC8a WQu6R+Cy4OTfkmF9TPma4GI6NQKqc1udPo3qY1LnscJZ1lGoqMqzYf2pj1Pa XkI8m0bhy7E8Y+tZfbzy0M4gy3YUOLyebFPjpGLiit522elRaDhNPD7IRcUf v2sujLOPQTRti7zVaipKzApL3RUeAwmeJxuTeKn4TDzctFl9DNTv5XKziFKx zLPTcr/7GFjWPh6oVyDXC50TFfw7Bsq546cHFal4PMcv6xrHOPy+rdTBtIWK fWeMzeqFx8Hn5OPP27dT0cNsTbyw2jjEETkV8ZpUnBRYPrnvyji8E8xJOL+P im2Jj1Niu8chfG5U0PsAFQ/jUNXyxDgY/dgcGWdIxUMxRqG6C+PQlfUo6L0R Fad+bZw5IDQBs5qPHFXMqFijp9nhwZgA+TMPDyzaUpG74kiVa8YEvEvWyPtl R8XPAZI2l3In4MLXOt6hK1R0Nm4iVJ9NQIbhaHOTExUNAire672fAAlQNM3y Isc3GcrRiAl45f7iRbI3FXfn8Di2zEzAqeJ94lG+VMy6E/FdjYmARCXbbq8A Ktb+vsZjx0OA0Prci0fCyO/j5Hj8VJmAouM6tYxbVLwWObKyYQcBRlENCjqR VJznL554rkVA5CpifFMMFV92flJdvYeArTTvg+KxVDTf8XbFFUMCGnzXPuWP J+v5oar54BgB3H+3OC4lUVGbw1A/9AwBj1QrWqZSqOgp9OOXpiUBe+wNdw6n UTEjWOTBK1sCggbt5z5nUDGTpriC6koAS+tTn+wc8rwCjkQY3yQgnVevJyWX is+DD9o9u0UA7m/aHZ1Hxa/D909PRhHgVf2L3buQiqbfZFMmEwlYz+Rn6VhM 5m9P8ixLJaBMk7/O6hkVNyXEPzC/R8Bs/vYwoxdU3JcVe0rvIQGxE1UTBuVU 7D5Pz/J9TICagpEhVFCxaEr1VVoeAVfTHfkVqqmY+nNy2reYgIlbRfHL76no V/OtbbiCgLD31Pnf9VTUP/7sG1YRoLiy9eTIRyoO9L74eu0NAVbXpje2fCb3 X1nQsKCWAI6yQN+6FiqWhKe5PXpPQOYfod5XbVRMlxdlC68noO/SzsyH7VRk W80eLPiJAL+smpVpHVTMPfde7EUTAZS+41YxP6ioms6/y7CZAAtTV0WfXjIv LZVZv42A5Tsc4U79VDSskJa6/4WAlKY4wnqQivf/DD2e/kpAu0Fp/tFRKq7k Ohxs+50AvYMZxk7jVORroZzI6SDgodGtpWiCiuvez35v7yTA3fz8nuYpKlrP Kjau7Sag55zhz6k/ZP0Ll5MEe8jztNa8wz9LxThOg441vQSIOvH2HF6gokjG K+XOPgKuuy8EOSxRsUWK26Kon4AR70Gl20w0zNGaPnZ9gIDSkJdun1hpmE03 fLo8SIBERNbGSXYacgu5rHg6RMCNmKg3PJw0HM1/uMpkmADjNCtew9Xk+Mze uegRAiruG5XYraWhDx2z5EYJ2PQIzG7x0lBluexeAenZIsHsBkEaam7X+vNs jNyv50wHJ4RpyNxQML5tnIB3FaO/V4vS8FcXv+8D0rHvK3G/OA0vfLiT4TtB wFJjzsAlCRrKqM6UDpK+0BobGkqhocLzk64GBPm8dNt+eS9LQ4/MwS6mnwS0 TovY79lCQ7UAgos6SYDOAquQtQoN7UUNqOGkM5l/Pg/eTsMHO9KfNJN25n67 snYnDXt1vXNP/CKgk/fp46FdNDytHxESR5omnHSEQ4uG29kHKC2kBSkOqXSk 4Yffusv0KQI85cyoF/VoyK4+63mNdJ8iYzRQn4bWLvMyBaQLd4rvfMugYT1H +VHh3+T7vb+uQf8QDROlE4LqSb84XOR47ggN588ZFc+QljZOE/U/SsOmLO4n En8I+H3G+ULVCRr+6dy50450lCtlSfcMDb8sF/MxTRMw57U64/Q5Mn9a7QoK 6TN+swa+F2gY6VousZv0tvCGmAprGl7r/cXmR7rpnrsSXKWhV63Y2TnSfEzF pRpONPS1OlArMEPAkZOTVDUXGq6+qPBYmXSzgOUpJQ8alhWwMZ8m3RZw9JaY Hw0lpmqOV5D+fnHr5MxtGiZs7hy5NEu+/9U2XlPR5Hk6RrP5kjaTeMBJ3CHz 59Jbokl3ftlAGUgg8+RmJD4n3WXAdaT5Lg3zzJkX2P4S0L95oDAvn4a3Dau8 b5GWvSGpm1NI1rc192Uq6Qt9J+sfFJPnqVJS+4T0UNLn/pQyGo5fcjb8SHpk daVQ2GsalupkbOOeI/sFkehq1UTD6qVZ9mukZwsOaVF+kfvTfcaVNk/2S3W1 Bv7fNDzJ3Fd0iLTEC1ELtmkaCk+ubjtJmlHd6zf0l4bTxW/fOJCOb3Z6n8tM R38P71PJpDX+xJto8tLxoQhUjpM+4HZtTJGfjsxDb81nSJ9ZPHNNXJCOcbaf BpgWCAhhU7zLLELHtCcBT/hJtwuWD9dI0LHUs0NFnbSnWo+r0VY6NujobfEi HVH2dhVtGx2Zil0dAkhn6DxK2qlKR2VGa3oY6Q80xwpRdTqKvOp9k0x6w3F2 jm6g48+Gq5teki53UYi1PUhHvqHHPrOkl585FAVepuNHv0+5ZxbJ82PPv3nX no65224csSJdZjR5utyBjuHMKoN2pB1/2q2Zdqaje7zQd0/SQ3K2F89705H3 UxHTHdJNdy6K6EfQccXMD5M3pJ/0ZRLmt+m4LFPP8p506LaBNx7RdHSZgaRG 0vSGcw4FcXQsxr0Z7aRfsJ15T0mno1MG5+pJ0vcdT3ox59NR0knxtMgS2b9e Jx7ZUEhH/lNu28RJW/C0y+8qpmOdvvMMhbRozolW+zJyP/fOn1QkHd57bEvX azr+WY6I1yHtevhQd/lnOvZEbP5tQXrvVhrV8w8du94V/EomzdTSwuw4Q8eB my/U0kkXu50vt/lLx+B4jqsZpClV/jtNF+n4OLuk+SHpuaNV8hpsDAQI1Ckh /dAD18wKMHAbX3BZw798Eo11hBADLxzhvPmJtNAb86DBdQwMmf1m1PyvnjXe TG3rGXh86WnzV9Im6S9/FUkzkPPuUmAfac4ajbarqgz88oVWNUu63KYuykaN gTmKvFvnSTvymBieVWcgg104dpF01wm32sNaDNx/gMuIZZmAZ2Mlz1X0GTho wHOTi7Ql34404ggDY13S/64nXWO2xcrmKgMVJya3apGmfRCxDnNioLtdh7QO 6TcarDZPXBh48mQTP5KuEv56acqDgeJnOXt3k3716bq9hz8D94ayMPaSLqG2 utyMYSDzzWa1E6TVCitcH8eS9XjydJuQLqI8cvsYz8DaAP6gk6QLlr09+FMY yDMZ8dac9JNSee/ETAbaBx4XuED6gZJX4KMSBko9DPx1hbRs0sWg+lIyf4WK 2VXS91cdvkE8J+fLKlY7kr43KBuyvYKB850qQS6kU9Mbw56/I+vZH9PjSTpW UDrm/VcG3u7Wmw0kHbRYd290noH9w9TuONJG0SJ/5kkPcm0e/meJzZY07gUG nohaO/nPZcZsw4qkC5pameJJjxWA8mXSdIFTEv9saF347CdpxqOD5v8s2pZc /2eRgSY2r77/84DtmDj7EgPr9kf2/XMBq6a9EOn2O2fG/nnfti98O0mzma1Y +GfvMD5jV9LXy7TFEkj37Q7qmSPt/jrmxD/nfWvZzrXMQGv+U6f/2euKdIAY 6aj3Mlb/LJRaKadFuuRKges/G8zNX/Iive9OTex/xiP3lIeRXku5mfrPPXLx a1NIHxM88OCfPY+q5ZeTTtzWVPzPjDH/FR9J55yMKv9nQb/PRj9IX5w48vY/ 60UomQTptkH+hn/OzbOfWSbNbvC55Z//Dz+wagw= "]]}}, {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJxF13c0F174B3DKaFARQrKqj5GPVUZRz5PPTEah7KjsEdlCRlayZxIiklI2 RQkNIUIaiox8jSiRoqzf53fO75f7zz2v85x77vs+969H7IyLnvUaJiYmXWYm pv/dxeOWbmYJlx5i+r9VvU5KxNkuDv7fDT738yTtsv/5hfx5Wza74n9+Gd1F /2X75J+bD1x6OGn7+p9bEj6dH7Pt/2fNx+w6I7ZT/9zGqbyexZwJ/98acZT6 At11/2wt95dTgXPLP2t9isjnF171vgjeg0xyq2bpl3d6fWzVubG2Lc7Jq+7/ 1h1+ZzvXPxsXFa/slOb+ZzQ6mLZRbdWSLK2yP4+uet50xLzRedWpG3c8sixd 9RuHKJ9M1a3/XMPHvyXsyKpzG/MLnExW7SbY8E7Nf9VbWub2fXyy6nnPsFcN HavuF9tqVTi46hdtNxbiZ1Z931c2yWctD6rl/5n74qAPqbsfSVvy8KArJylU 0dQfLnYeaaTt5sHJJwUsCh2XQVvKepqPxoMNT99Nvzl1Ff5e8aztO8mDZ3cF 8UfmZcLt72FheTY86KHDFzN5LgdYKm4JKIbzYHdlysRYyi2oOTR2WPs5D5ou y0dI6JQAwcAx8RKJFzP4vg6dePUQuqv8zDT1eTHfe8zu+1QNBAtEE7jO8mLc DrGqiS2PoPdzUU1WCC/uSM6tVzxaB0n234ceNvBiguCS4eCxBmAKPL/3B/Ch /+BMau6553B/MHipSpcPJ34yJ2p9ew6m5MSmAAs+7GkOCh9yeAFV68tNNwby oV1pPfPAmSZwSp69RKjjwzsHSzwCqc3QU+jdbaa+De9JDb6S738FZd0Bns2q /LgzUaFZuqoTbodZnRk6wo+tl/WqPSc6IUv5qO6CCT/25uFaY9EuiLrKL0UM 4EdlR9+WqcguOGtW3hvfwI+6Km+3xJ14AzzDYyQjTQHUP5Zjzf25G7x+6nOP mgri6Zv08fDq96DGLV3MEiiEFg1iR3s+90I7s0lzW5wQpp8voLWw9oHl9OUv qTeEsCAwYbRUpg9CO8a3STUy6hlpDfYX+qA9tjBIm3UHBk8Q867zfgbLjVJ6 qVd2YJ+Qoz+PVj+Eskj+krgqjAbfBCLKBwaAb9Zw8/RtYVR9/Si/anYAbn+J kKp5KIy39W4UNa0bhLbGUXOtT8Ko28XUxqswCHzBBS9chUVwgll1xi1kEAqX CFcf5olgrlg4uUpyCGwXEjPzjUTR6e8zq4KIL5CsM/nU11IUr1snb16X+QXq cyhfte1Escr582RY2Rfgp88r//YWxdbltJOf+r7Ay2TzDmqaKEqkN2UuKA2D lKzk2rG3ojh+3rMyYnIYJiwf20nri+Hr3JrLp7xGgL+CL27ZRAwDXK5MnIkf ATK7a2XXGTHMXtMylnRnBK7fE1/j5yaGQeTyH/79I6D1NyKjNUEMjVVOnXA7 Ogr3kvTanTrEcEIrNWOtzBi4vBjdW6wtjo2FocPHOb9ClAnb7iWnXXik1i0r +MA0nG3ys1GwI+DUKe1h+1ez0MAucNzRWBLVw9Tppn/mQIErKHXcQxoVN2pl sm9bgJp17yWb/KXRQgeOcoovgAaTbG1eqDSKqr0p3ERcAIOpT/0WydK4cMMp gIW0AF5tKlLvyqXReO2H4kfnFuDR5anaxhlp5J+CMsvnC0BfYzGY4boHG2/s TAhxWYTOP5Xuvj57kO/zn/PMFxbBZJqDzTBoDzYtSKj4hy6C40CNNHf8Hpw9 qORpnb4IsXV8HpHFe1Ag6+wE29NF6L7Qzub5fQ9WN6QLR/AugcXPgzI6TjIY 8k0pM6J6CTi4mTq6PWTQLXqw2qxxCWrkG91NA2TQyi9kP7FtCXjOUWvtYmUQ Wq196oeW4OWYjualEhlcaHwmWsK5DPKfLewezMrg3ac6TZVnlqFvUYwDlmRQ KyRcVcN5GaK2Dxc/ZyWi2JC/XIv3Mgwb2c118RFxW9S7qlfRy3D1jWv4N1Ui 7ivtNbtetQxMzcF54gFE7OPgv227fgXujZLohWFEnORXPnFv6wqYsLFNysUS UZMQmP99xwpUkKL2HswmYsG9CBUrxRU4fUbr/dMCIi58OhxwVX0FNgVv8tMs IaKWh9C5l9QVsKtLbDRsIOJd7WKj7aYrwNtnYPO5mYiJH7NOHLJegcYFvg3W XUSUECpnMXdZARfBnnsTH4nYIPTE1tt3BYT2Zxx3+0LEmpGUoJhLK9BsaP5r foKI9qEbjmfHrICXl0h64CwRrwXPfCxKW4GdKYPqbEtEzOoREa3KWYGO8psD 0ayyWDka8Fbx+goEdFmHbt0ki+htKmwZuwLS0xKS1/hkUX2w1iYpaAVCZYtc CiRksWXRrXYjI59qYcVywxFZvBLtXKQhuwI3sp4LzcXIonj1t+wXDcuQYSbz /kSqLD67oDcdV7EMqYJJCRVZsvjr5K7npwqWITrVks2tWBbPxvqOc8Qsg0/s wtRkhyw6K7F9vWO0DMcvKjwd2iqHibUJHyZ+LMGaU5n27elyOGLGoXF+9xKU xR741KUnjykOwxs3Zy2Ae83BY5laChhaWKhkMT8PdS35M5dNFdHqgaQkt+Vv sKPtf2xvtBeNSt9fZJOfhYzbCpWODvtQ4LrM7c0cMxD/83Gwq7cSev9UjqiR +AH/3fH0snNTxjlPWVce4W/wlJp4NSREBU8/krFPXBwHJt2PQ3FBqsh55Oa1 UcNRWMEq5hu++9GRS1mUaWkYIrbNaXdFHMCttn/M2u8OgYvJ2ca5S2pYFDCs 7185AAPB+6wgRR3Pry+Lyojpg61J6R8v5xzE+Aa6ht32j5C/Rdq3KeMQlm9/ G2Eo/R7q3UQoEncB7zKlKQapdUOW6A2hgwaIFxIougLlnfDY/y+TXQei+5ve Rtv6dhA7yr640/AwanFl1Z5baYaK11JXeroPYwekVFU2P4foF8vyouYaGHpl wW3IowGS3McdLHs1sJxWmrfLsBb8eYU3ixuTUGlw8OH+pApoK11vAqYk9Fp5 On3TuwKEdX7lmZmTcErh5DNhswp4Ev7qQNppEj4mZl+i7q6ANfMXbDgcSHht 7vh5ywflEPHx/ePfF0goHHP/YPtgGSRmJzi1Xifh3/4d1VwapVAoxdriMUDC 34WdCq3eRdAldHjBeYiEB5JngzdqF8Hi5gAZ22ESfmA3fusiXgQ6v2djjcdI OK5Q3J7XdhdmG4f1D/0g4dYdnOsbdzMaZfasj52JjM4V7pE9vYXwIfbS9DUR MnbWRhz9YVMAa0KeiCeLkVHwwdTLTiyAPZ4L+jE7ySi/VlS9R7AALpq6VwVK kHFWWVHJ5PUt2CV51s9KjoxaFfqWuw/cApcGDVZZICO9K+bSKF8+sM0yCzSc IuN+cmXgkW+5MF9yNXbYkozKFluZ5JtzYcJZjmXdWTLmFF78TsrPhY5Rsykd WzI+WpLdNGueC9c+VT/vdSHjguBmXs/OHJB96uw2H0TGk5r3Rebrb8DJxJ5W uZtkHCCYrjy4lAl0XdfD+vlk5G2NNeygZoIaB3u1VwEZZZj6+nBDJoiG78t9 fJeMBmvSWYmJ1+Grb5zP0QoyFlWKV8veyoCLpym7bZ+T0V3ixUjt53QokC+9 mDVKRp+5Lf4z8alwjnf6T/U4Gav7hwO7LVJh3195z84JMiqs+VnHLpcK9U9L HFl+kHFP/bLU6fYU+HCyxMhhnow6d9L1Pm5JgXUBxYrK6ynoNNwi8zAvCdpP T93T3UjBb07Vm9N8kiCZKidlz0nByYxXI41aSSC6pVjkOhcF1yXvT177OxFU b97nWCNIwY1vza+IayWCXfO9kTZpCsZVHTTIZUsA2fvfTo/KUFCpg6mD1B8P s4nEPiY5Cl6pGLkg9yAegszuvdm7l4JCcXKnhh3i4epUUX26GgUjW6eiLxTE wUveomvWWhS8Raq+/MU6BqTO3NFZcqagcvwdQ/ajl+Fl5oGSGRcKbv4h8mCM 6zLY9LRwjZ2nYHnnwFb1nkjIOzbR3eVJwanQc6+U7SNBFGRMbwdQ0PSDZPK5 2AjgE7pvqx9DwSWVKDmvb2FQaXiomR5HQZWrLDS12jAwSGqXPpRAQa9EbjmH y2GQsGHqm2QKBfWEJtXXSoQBxx85j+XrFPyZY/6a2zYU1rwrDSosYrzPz/Cj xN8QyOHSGMq6T8E3cYk81PYQQO0uUnIJBQ3exfc/yw2BgGczbIEVFCzMFikf 1AqB+bK9MQaPKOiwjmU2PD8YvsdVpq+0UrDgfpXojG0QfDrysOzEBAXTrn19 HmPsDxq6eUae3yh4Ubn9zQSXP9wxiFtOnqKgjE1ozmKLH1ywsNbs/knBWRn7 zfLgB4KeXEN6i4z/LUu6WCp3AYxu2HMd46Tizod7ROrlfKA+36DaZTMVjzrc 3x8z4w2Sd8E8jouKexJ7tWcrvWG+krewnZeKof/pBkcd8oa01gbUFqainNL5 D/dPesG73wKumnJUpFdFKWTleMChRRY+BwUq3rAdPnba2QNuMf+ovbyXiq/s 95y4vd8DvDhesDerUNEw0evrozfuwCvulk1DKoKW34Y+Tncw0G5pJx+nooEm J9P41fPQdfMCEdypSPzzhyWY5RxwM1U9POBJxbGk/S1+j51B32yaouxNxdjM Gjthb2fo5rE7RfSj4uwvg00nJp3gfdiJuO2XqOgdU2lj/tkRem3lp+cSqRjx bKNoUr89CD1zDPiZTMXg/wbqjHPtwVy0YP1UKhUVVKwESq3t4fOHHeIj16jo tqGukeO7HQwc2ajfnUtFqbJ7ZH1WO/hvz0hFSRkVlwPqF5m1bYAQKXa4qIKK I2m2qmr8NmAzbNZWUEXFtmffSdNfrGHs+pv/smqoGHd3u8Rrf2v4ytnAF9PI yKdR8lqxwgq+T2X42Hcx8rwVo+WrnoX58uPq4jNU/HgtjZ0/wRI4VJXbt85S sXy8eCDfwRJEHwlasv6mYvXszNdosiXQn325NPaHiqOiL26/mLGA9G7P1vvM NGzT0Dqo3H4KDvxKN1HjoqF2e2Eyf54Z6PhenJTZSsPWcA6PG6fN4MzSmYvC vDQ06Y0IbhQxgyhWmVxmARp2FPIYvc40hU+8deNNojQsPZylN3rDBPyVh3wM 5GlomniIOtJgBPE1LzZQFWk4um1tvWukEeQduntdZR8Nc4Irw4J0jeAV1aNe UJWGN906B6T7DWGHIRtjyqChLo2nM4rFEOq8pdOcdWkY8Y7zoI/NCVh54FYZ fo6Gm4qldkYH6kEvW9mVXFcaniGuNV44pgc1BtOn69xoaPxV5kG/uB54/HDZ 9NuLhukpeTvXvjwOYxLOttaBNLSPMm1M3XYculJtBcjxNPz8YLj4Z4ouFA/f mrJIpGGZuS+XC1UXohVHnvsl07BTX6W2bE4HaO1WbuVXaZiIVsJXzHTgEeuZ VvEcGgZ4/co/IqcN+R5mAcxlNOTxUq4+NqcJIY0Z+jsqaHj7LF3eqVwTLLd8 ktpfRUORY8+qFV01QbDI+J1rDQ23n2I7WTNxBGK/nJQbaKSh+hrW6LCvdPDR Oz5Y94aGNo8z1mWz0uCoPJXi/4tx/7aOlvQCEjC9fcvsMUdjzKedkva+JKjy ta5z/ENDCW5p8fyjJBB/GqpiukTDXvL516emNeDviadSB1jpKK5X5vvosAbc 8cNN8zx0HK+1WdT9hWAp2tEyxUfHdfx7rTzbEPieW0SM8tNx686i4Pl8hJBN gUzvhei4kRahz2OEYJLzeKZyFx1XJkgW3MEA65sOvHffR8eFKpt2a9JBqHNs SXJUpqNVZBNr9rI6eGwxOXZWlY7hsYOCF2rUYcDYt1lPnY6JPK3/bd6nDg8m q2sVyHTczrZ/b7ysGthxK92Y0qdj36aE+muwH5rM5ewd3ekoK++h0/lSCaiv BBxiPOlYVdpgYZigBM8PsDgWe9Px2b398Q4mSvB0W4/TTz86Bnt1r9/7fR88 6Qxx9QulY9P0cICE0D6oprzzvpJCx+/N30284xVBuaLe514aHXWU3Q8onFaE SvG7vq/TGXnY+3aeVVSE8pVAv61ZdKzJniiTfqcAxQ+lAjNu0bE0vGmb9E4F KCAGhN+tpqPGtNjJ8ZtyQLhuG9H2kI6Ba5IuGOrLQf4GvcipWjqe6pEpSFwr BzdHCVF76+l44nYGs52NLGTndMTUvqTj60iZXiMlIqTx7kpp7aHjye4rRlm/ pSFiqeXmxAIdfzF1fz/ylwAGyQK/FhhmXv7CFzlPANE9dlSORTrahZicfvGb ADVGrOMyDIvdcTUn/STAZDnInmP4h8r89KFJAhxzqHjwg2FLY+ko9c8EEHyf 2fZridFPoVar440EGHGeFGZbpmND9LXupHoClLOoufIxPNfub/OujgBaih+4 VRgu13f5YVpLgMAYbiMfhiNFnl63qyDAMCli6C/DBu2fDCJvEaDk49u9G1fo KOqfNfwqjwAB53eFbWf4mphmKtdNAvBlN0ioM2zbd9wiI5sAR/4uOAUwHNrT E1FylVFP0KyLYViSPYPwO5UAQxLpm7MYdgf5UbUUAvifUC6rY7jb6FVbUwIB 6JOha18z3LXc9pMzngC8l94Y9DOco5quZhDLOC8gfmuK4Qq7PfnXoglwv8R1 boXhwOlg+cEoAvwPHg85rw== "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"S (scaled), e[t], R[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 50}, {0, 3}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.417781768389331*^9, 3.417781794591615*^9}, { 3.417781831216716*^9, 3.417781847936974*^9}, {3.417782000644605*^9, 3.417782045724475*^9}, {3.417783354801299*^9, 3.417783486652176*^9}, 3.417783854381182*^9, 3.417784058064198*^9, {3.417837495465641*^9, 3.417837510898502*^9}}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXA1wlNW5Pu5Psoa/VQEjIF9iMZLyI7FIjVi2SQVKRGvSopcU2EauUgy0 ldTxekPYaUwtpVHvxYylJGSnpLEUEmw1dNSb3Z0pQ5RRQjvIeh3H3c6ASYcw bEnq7Lc/2XPf9z3fF87+fYu9zr32zoXZ7M93zvOe7/153vf87N5f98PvPrq9 7odbN9cVrd5R94Pvbt3cULTq+zvgI/M1jJmmMHbNQjuD1yrL/zNTOP2bxjlj OV/Wwh9L77rGUGOod9038I0nzJgn3LvO1Bhi5t512JKtgYe17dXK+bUjNXt6 1zH5WhVeO/ZS296OM/XbU67dh4CBDxkbnpMGaGp7lZlbq7unp/S5dmJYhedC G0Mbiy0PwhszjrrwHDOFNjJzsWVCsqVjbHgOXpEvrMUO/v22ipQOeBt5OBz8 V7oyuRPdYyDGedhrb07peGVMQnmMTYwJkEz6a+2OzS1Lupdm+NxSc9hWgVfk C6S+gUJhlpRONCT/m8Nzjv3eVpdy7erVREMKe9O0QZLD3nBn4MPC45mvDa7P gLdGGLx2xFbR+kRWRSX5FI6f8ww+Nbi+xd5xZvPkTD4ViDWe7hirfSeLTxVl BBy4q2pr7UjHWCanyhkMqMF8feA1e1BAEgo8XtXbTajdJL+BFn0TLXRfMaW8 gb9djE0zRpJtPUV6PVV6bcXX9U7m8HeCX3+Enwc+gucp0msbvr7Yp55TGTPD A8hCZeoj8P+4ej6yUu1S6yKPXX7r8tujNmYerWK20ccZG303WhW5dfTx0XfH FuWPLWaWkQdG3738F8byRl5h1lFb9GK8OrYw+lNmjlczc+w0Y7GjzBQ7aost hLeTo4ejh5kJHjAI/XV+dD4zR22RZyPPMhM84FLEErHAawuM67jarDYzk9qc h8OkITI2VXqNQ89TK9Rm7BR5NPKsKTIMHzRHhgGexRbGtoN4VhCvjp8ZXzq+ bvyl8fcT6xNvJp7mnVejyamfso0N+GtAYXndjhZls1IOliwM5jOFXWv3FStl vkpHjbvKVexgrJEzU6uT5bW5O4Ldjl5HAzybPUGWN+gcdOF/xgaUvAAgh5zD jmGADLlQSshJn8HrsI8k5qeMULiO7qym1DdX5TrHXEz5VSKr6+Sj+4xcVsFQ Y9+72DA0a2gnY3apwVTptRVfh3ZdAc+hwUn4mgd5E/FakzkRY1PRXvR//fj7 4y/FjsZfG58eP8NY/Ex8rwk8zRJfEjsKtl6IvmWJronOjwyrdehBEF7qQfCh isngJ9PAlVhkJbjGmug70PxofEn81XhZfG9iP7+HB5No9L/jBCZKJ7zX1aLU +Mp8NqcFPKCgkKM71DtblDZ3q8PjC/Cw2/YpJZKBN0gflHDyEJtzs8KKUNPq ebViaDkQ4RUL3CZZ4Dap71J43MCb+D2JWGI/qfb340tjk2P3x07HtkMUH6ao nAcMUcHyQX0FEGbnIHDXgOpOx/dCKD3J5yDr5oHuWAevd5YHbS4z3Gt+sVLl fITX+Hqdfh9cvDfnLYTdlUqxwhQipbMqu/iicJwct7CaAMFZxsMQ30+CP1SD I0wGK78M1FHELDBsm1oRWRmdH5scrx5/KfEm73Rgp5DrmK/BZXMxiEWm2FyV Sr2rIzjoDPtEXjQarSXsbpnLFE9gLg5rtFQ9CM+3S0PcRUywMVEOgzkdez56 OPKWehzHYlXPRbfGXoktHH+fLUOkYUc38ESxwwRaszKHzVXl6lYCQVaXRe4A yK1x3YyyhnaqRWOL2BJJ7rNkjCaw5dL4kug7kUfNJLMi8nLs/vHpiQ/ZIkQJ uXrBXQo5ybQDH7U6BxS470ezyAx8ZAMHI5kXr1PZx/uSZLaSTN/4+/EzcKc2 CDuQaVGPRw/HX028ScYdcDTycggvkGexu2t8rUBvj2vCQBa2saKYehcqlc1B 9Mt/iaAPy5L+nRgkmNgfPxMdAU8Ugs5F82Mh7p0rtNkRrHHb3SjJXB5s5AMO 9r1Md0XiUJcNnWw2igh8W2WjP2NlkriXsE8iBsIOa6LqoofH1/FOrMnMfl+L o8wn7qmQb3b0OkOuJ7KKCnxU5i51ClFjf1LZyB+TRP2C/MU3vi62ENyWqRXR kcRdNyCQhze4IS7ohspApN/HnswkJU9IeSYBGvTOIre8qFYEPEliDmC6SBTG tqt1wN0r408AyU6Gz64N+465a7ndDYHgrHJ2BIcd7F8MpAxuYo7NDpISsYxi IUFSwm5q6Kak5I2PgdMztS62HRg8X0jpddb4IOQUO0jrdYHLNRpICXxU6bD7 biJXv5tUdock5SA2TOwHRyhSiyLPjj+JpHttCKKnxm1zggjfZocnCNyzK5OI fF1Eh5cpHQFWSM7dQM4tS/kVJaR7QGPsr9f8cqxqLtAFRE69C3J8cxYiI8Iy IYgd8j0830jmOKI2w3MquI0HQfW7bAg754mfn+A/zom62cEcgysEqnp+tDQF FRUzycM3K2hOu6/eeeIAeBVkwfgYa0kOuiRYCDyMhpn4+uPXgYGvY19KsarN 725wFwaRLmv5MSB2M/p34mlItiwyDPRiqBIzPsq53QdeOQNfYwUxNCtJSgdK GXa0ukrBS5ijyoVegknSEh/DLB6v/lFOEVC4KK2bhAjg5vPwLIv4hWjf7ah0 MI0n2nxQT00mdtkY3QP38jLci8tIEKXXUmcxmnc6GaJ59EiKoJ+jnw0Au6PH FyuNHGj9OryV8XVQktSNT8/omUkS2naBd3rZDWSTfWCTBrZUktCGEkBbMA60 yWYHeOUMuo17gIghUXMf22kkhFJsIS+Dd+x6MslfySSyEGRdM3pplVPTF+/G bHET3krsefSsRCxjHCdJwYTZvUJI0awiS3kBbyUQbPDZfRAJwNxQ5d5Mdl8C dj+YKPzXnBL8nXY3VFgkQX2EzCFLeA4Jo9cFVgfHqvEd8xUjfOJDmOoUxc88 bQRPdXAjxEf3XFHmara4U4LfI2zRomB8FPIWB3DoPJTAO6NrVBYL6YSaEnuE HfAUBsHjCXvkt2CC5UnYu3HoHshsyD5VzmPuUgSIQUkL06qnMo48tGuiUje3 gheBJ02jtPp25FZ4ltF/THwd7FYw5uy+BihM2UIy7mnwoT3cmzHh6BJsIhIK g36vmCMEOqgsWSZJeAYlhKDMQN2UAkUDLd9Oxt2LxME7f5hTArgOshNJOP8J 8PSMJAnIClBx12NBp1QC8X+JAm0ppAaAbzCCvxZhqqDAGVjBJlN+XqQWBTqS 4JELYGJW40PfqeV+9zItjosiL/POHTnhTyTA5dwCPrLy8q/hWYZvIvtydE27 u8E37Cgn+N8D/Fvcm7Gq0OELEKZ+E7kmvR6CQmbkBfZlCR6DM69FKXNjZLW6 wu57CP5JsO58HvxBLniL31sMHu3vpFu5+CIo/6kk/KcpspzoPjZXmy/scyDC +HTAf4fp8Lrba8CTsH8vGLXKJVQE+fEReJZx0bPzwC0hmxdDYHFfJQLEq8Ht 72ffNxo2KRqqMwVm2OQ+atdoVQo6erW114XopVAQs1UUU+Dy8SWZa0YZ3DK4 ye4G9vfkTaTLGnaXhI4uZ/VwHEOps9dFa1Dm6DsqG5/Othuhk4d3QAqr3yW4 YeQV4IO7k8DRI6yDzkqqRTq0lS8ejM4H+Pe3GaHTxBx5xOMVpHn5rchKeJbR UbN5fl8NlQ9tbh68n+C9kUfV5sSH9TnhB3fZ3eBrlMCGgAxGFrNyCR7vPm/Y AfNVmO20KGE3rVckYurByKO883Ej+Gl6Tmz0ilR/sQ+ccVkSPI4P5qOtLih/ HA3ukPOb5IxhpDJG6A+Su0qLebjgbMUFZwJgbL4k0i7YARQWEGXS6LtqHRQw QmQn9UBUK+QTJGdXIMgeIjcFaovb2VZdYvJinr6cbMpypyQWfQyCyiQ5MInV qvnvothAsAod2HnMx9brSWH8SbqWYa1RXzKGN1ZG6UkXeB2morZOJNmPn8Lk drck6THUWMjVABq1u1tdPFgrHA4m2XWJ/Vsy36K+EJx2i+FOkoh52oqa/cPv wMEbmSwQZ6LWbgVrgc2OkJNtJHn3qMcj83jTYxPykha59AXedHnuCXkYtr4l tZd/slwStpn0SOxbzgdd7DvYKbFeLYrOpzvPWhZQWdb+H0zZM5PJgI/gcFpd MGkGNtxMzjAGnPV85gm2jGYZffyrN9ohE8nKwPFY/T6YQEPuH1YIxYwzEqCS f86JePnt/3wbJnUOGXETp4l0C4Sg3dftIG8xQ8VYkdhP2siKiDrMowzzQIMX lwhlf9xIrESVe20QjLaVjLYRjLaSex/JBWu5eAfOvgIeE0x3oSCiC8sk+G9f GXRhENx9mx7XUAPp6Cm1FeLmQ8VjwXc4LYBB3yVB1grLo2ZredhNtE8pACIo 4wKMDnzdRKZ9QBBRpQPqh7kiv2jgGI6WDm4DIup1/mAiYJr5nO/khBa6ENAA i7WDDP0wjjvkRIauVMAjdpDHxtS6yDDLDS4UIvgZ5pIKpAJZzw9R8PoKgzZn q+tJUvJSojKnETIR1tBy0ohVZAFcU0tC/hYOOwwzUsy4fjfldzNM4FmikFzS GHzkj6CTD67U4lA83CmBf1OwIXpfA+QsWr+A2huXL3nTxpzokZWRx/RqHCYS vlJ3EnoN0Q1Ul3afJ9hI6n4aCGIPM0SmfIVzhZHLogxBroaSZKmE/KBw6wag uvIg2LKJazVO/AzhGoOPTVGLgDttIl3YnKDxpVJm+oZwFPhUqXeCUlyk8fkQ 6G9SPGWImWlatinVa1eoupVjnUkz2weIbx3oIt3Kj7QwPxh5ViSGrCOm6oAW d/tEreqHSgHGJkNTrdEGiabY4Xc/Q973koqbSLmRR23qQcjMVFlC8aR4Eknr IvcJRddyzNIw3/8xBftC8L71FKtZwakiG5oFVvyeKCwHVzDHIzwJnHacQy6Y fiotjp8I11PPRcx84z/lhB5bTAXeFFGa2Vz+zqTlNKwcLYFgMTBMr/OnpBEV Zk3zmCEyDTTgUZtHS4V2ekEjMAeXkb9OZoQsa/cNOH5GrgEz1fF1xC/GyBdr IBhnCmcphRo6oK3Uasi4LG/phhHDFY4Tb7NgPiIXY2QIxHm6G7bA/KB3UxIy VumWFkrVIdfzFIgfqnWQqQ2RySc+nklVul2EuM0F9Ckj3yv8A+pSSAYQK/9G gXgGArGarcscK5MEnZLbEbXWcptzcJPYCtBgv8ZpDR2ri0b+Iil5j1oEPvct owEXTDDHb8WCBpC0AqwnI1cKn4MphqNbaSOfawKfA8/7Zk5oGHTz0E5RwZS5 aRlrsQRdwWkxvRRqmGNusQ5+F9DdO8wQ+VpdyyN/FItircJ+MvJXCRnmczaX h+8jFS+hSqYmJ3LkMfU4KHq6Zj9MfzKyQ8RJIbe7B537yeeGoTyNsWojZJse geAZtPRZC6Tm38UWScgrEHkQqL8w6He3k6Ln0GzF+6ARdL4WgnVqkVisPSZC UIb+imBSu7uQB4IHKLjfp2lzbuSRF2iXjFauS2HyDc8LJWSa43vgZoodw4pb V3R8L+WEbOtQH3+gFo0+zmjNHbcSgPdlzOWIeQzIudQVcv6SfHkrYD5BCcF4 9QyM1zy0XCBDaeCsDSYh360jlwdDroOkYi9uUiSevt8I2qrlQMwotLdS5SL+ XCBB01qKB/yjzBd245K7JbFfPa6eS3y41giayiNc7Bi9KDakcAWqdVMS9F3C ekBzkFBe1qAPRuYlYvcZQWNZZ4FZVsXlXwc8tK2GRwPg+YsS9peF09lcxTAB OkTY69VmGPabVUbYJsLeB7o7P7SctiexUIfJq4xNq1d+Hx5JGFYOE/bTeNJi /Mk1mbBt+mbJ2AtqhXp8aJaiZ0EoH2XcO/UQLAwGgj3Ip4kYED8kq0SccgLF Yp44SCaO0eApGot2ioYm3mJnxjOyGLfBhmax4gCV13Y3hH6pJGupRiSQvvy+ o5y2nLCWBJoaiZ+BsEc+J1ax6kd5tCNJFu1IEpsPzJ4XewF5BRfLL826BfE7 oLZs8ybJosXEkBNJa9D1O6LD9VA5NNO2YD5Y/F71YHRPbGF0TdSGp12wrsAt V2aB19ZYKF4dez66Bkro/Hi1KfrOxF+ISXt0DUwM6bRMdA8Jm5I27pQDXvB5 CR58iTz7MVbXmC3NhcFyDs/zpUHfIRIPcviAA88e2XgwfgbPPYBJKiIW9ZwJ iMkMPoXHaBao4tyRscJ4EzPzmz+OgpgSvcyC+YkstoyCNwhlncPDT+KweZBv BHvYeJOJz8mnvzYESsT4Rng2EeicK/eOPmIWB8NY1uMrss/TUHAzF4aTOhTg c6bAFHfcKGjodEE5em3ySYMl2AaLDXgkcgK0ia1EGQAXuc0gHSbEjOcECHjs WCfIAIt18qpUQI2ZEXyEQDeubQ2WSAiLREzaYF5OarkmJ4gnQUvtMshCPQDs vmEFPjCl5hDRnWKmUqEdvlul7gvIFekkzKATPjAbjYFAaA9vVxoI8DskJTd2 shhhECkVO2hfa56E8UVs0wge0UYY1pwYjQmqYGQM2nvpphkVdsrLiYG1Joxb xqAVRr+b5mvwPt8IgxIOrpaCYb8gYdwm4rsYpmEh51WBoGHrN6WB0HrwgAM7 2YwwFmpMjNa9RcKgNjCr1ZR6bU6M7rmUSWWMW7EN+LkWKAWZ/WuRMCvVOsVS 73kiF8Cs3UmH4gqMhkAguBsJdpVBviCIC48wBTDUJuUEIcM600DMeIyl14Wd JhthLNYiVgHD0tEtbdJ+i04aDaTPLOelJAyivk0ahqC+Yt3Byulw6lQjjNv1 DOv3ivNXGkZRioPlBtFKpFQQuskB8vRpRhhLNPPibHKuhKFgG4h6pZGcw54T g+aNK5IwtONBdl+Zm4hUB0nxsCXCrrQskdqdNgn9PpR5ndEQaIpNqyZedrOE gdvZ5jafHifX58TwQ50MxCFjzCG7+vCUDna6wQjjDt2/TiREBathzBaOXgb1 37DjqkCw1IPATAUhJhWOPt0Ig9Z3oD8y2GwJYxa2Ab9QNpNvzMiJATeiwA3J GDdpTgozSvrEEGSpNkVwDu5is1JAkGIVwYIzM/sG9cZ5eENy78IJ96RYu9Fo BHdqGdINk5SbJIwbxW0U8lIXuWdWEI8OAuyFCwKpIEQ+g+QchUYYtC5bHoSS xyOmkBrGTLIJOE092fWmnBhE5iuSMGYIByt1FXL6xBCE1rVLXcVIGjemgFDt dYwiblZODCy/2jqTMNArzVD74MY9vEefperSemUGwjJu/mm4tFdQrBAhzUzF RSsOOyZwsXC26YVz1u09GRiZsiORBExH/jqA8TqI6eakAWfYwJMh8RxJmSsJ EmnGHHLS0Rh4f3MaZPZ9OgFcro8VFDwjFRijOhCcAE4r3bNvygnwuwMfmYod Mux1BAEs2UKkMNfI7rSnhZuWMLzpEoadosmHlqNoMgRZLhywkEMk3JACYoYU rJGCkhMDI+GZRBLGNKJrt14rFhlh3EMRCaQM1HB9KgY6W8h1dRjIDDDpv14q S+g4OTC10kaBUJxOcNj7K4KcYJK7Syxnar2niHjGwovUWWw0hK/oLFm/Ig2E qkQPucstRhgrJnh6hViu1TAmC1+mchrefyEnBp67qeXpGDhPEm5riOHQExfg TJMw6CsKgy69QpuXE2NwBS1XpmHgXEmY1RDjq3omB71OlTAKks16a04M2pRz JGFguQ5T9GI8/QXvS4wwKvTKpneX2K6QMci2XMZIca8KrbaCeWBSb/oOxLCD FuTh/W1GI6gMaMV7h1dsF8gYOEkSVjXE+JooMyHjaJtFGkb+hFVJm/NzYuAk FVJwGkYVsG3YnRPj3olw2yQW5TUMnFFSWdRKpFGaE8MTwAON6RiQ3nnYlxNj ZUBMMJUOn1hol7+sg3VNB1n1izkx/LvwAFg6Bm4Q8WBOjFX6OIDRbRIB4kyf Jty9pI8Fmb1rNdE4nkPsFOvjWm+z7t9lpImFRiNYrdMncFcaBlTtGncZYnwd +4E18MBQnoRhEm0Kg2LKvygnxuAmG+4npmFgnImUZIixJqAtX7SJk175AgPq ErfdJ2YPi436V2n6xHRkkftDXlYGXVfXH3UJvIX980T/kMvursFXtxt1vk8j XtyAMF/pjPMNv9w5xQfuExxn9wGXYTcrdgu5bC6xqrDESORavZZoFAe9qC/u 2oli2rDv/fCwQCQ7B2DOaILQN9uchdjoajraBubiND3wUdiNpqUFsjKjTg+g QpADaznUdWBLaHCHUYdv4O3YnHgcTnednO0tvfjNKKVSgYu4/C2+1yy+6c1M NXswsvV1WZatuntQzxciLxAOlYjiu9ks6/daZZBqciQX1/RJI6dVavwyNX2a tjw+L7W7Fj9J3fGLz/hp+iK3cWc6eaZ/PTnH+nR2lGy6/z/SNiUwPz8j7bz6 tloK+x9vy4OfVVvdCp8d4v+3/fxZ4YU/Obc5W9mD8DDfdmL11nBigmzT2j58 4bbzt51nD8LDnP/nG/+QpS08XvkMPhMffRZIf/dnGdJW26ttr+KCT1LW0Nun padMSzl6Y1pH0dNQ8tIMfNA70URPNZmWWuSBJqeVTGsn/9vq/HwY9R9uZP9Y o/0cjIx+cEX/7SDpB1cmjorAn9/p8WXFX/TBj1NLOb0RBbX2Gzupv7kixSqF oP67N9l/vUX/+Zmk2k9vwenf1f3EkvQS6cY89EYATzHeSa/3BfB4NM19+7YP vc7FQmBeuKm9pL2kZ0HftvAGWvQIzerb1jOJmdpLzFLbG3K0Bbl0Zp62cfwz PLjYiSeOzCeqT72Gz/gILGsvOfuJWIAUWGIVT3stt7khSxtdDm31BJ7qOsS9 dCDL3HXBjyv8pEMewLZD+6YaCJpodH0OSbiuZgstP2HvOtn1m65DXb85YQ9v oOWQsLdr96kdhJZ39r2eAri8+8iFs+/RB5eifc+1b2kvOQLjwkEVhJb3LGhf deRC4OFTO9pXde3ue65ngRnkFPQsCO9Euw190LetfXX7qp61Q2/Q96ADDx+5 0L6qb+3QBwwb5vdtFwY++177lvBOcatDH+Bg+7bhgPJkBJN0K7hoYh16o+sk XFrgnyEULetCR7EIT+mZBBdMOLa+tSHQdOBh6FrSdSjcBKmrCS4YAcp6M3cd al8deFgM9dRrgLE7vIGWcE69CLp/Q0hvL+kPAfBOlDgZvSU0G+6ipH31iR2g 1kln3+O8ZwFcNPWHUA/mUzvCG7pO6h5acCnavgpabzm149SLXYeGoqDJNxDK jJo7tZduBNyDApS0ElreXnKiWgyqf5DufK01M9LE3eahBrBbYBkPmFL1J6NY eBDfdJ3EVtbwAbqVLeEmlmqRrJBJGmwvCSxL9muPnTSIRgofEPK7dvMA55ei dKs9CzjvP0q3PQnjH/4F+o9yjvcG8YJHkfGapeskXjpyQdOjpe8oogeeIlGh 2f2DwEDPEWJo+UQv8xFJkXinaAgisWXtW7ouXIpas0DpmhTWOEQgaX6og+SJ dhYhLPAQvrH2nxbuj6o0hNL1R6vZ4QM9Bdp1S3gD8VeB1tdGmw8YefvCXnDI LSSmby2oaje6n1j07FuLbos3KQ1pQmvmLqkpxjs0NWtD01Rl1i8BVRWkdrni D2ldrnCSJPhEGQ0SYyJdFxl6J+mCB8MbNNuBY+KNodOKnMC91F4wwAc4RGHv 9tXE/0LX5DHUBvqfKOva3X80vIFl0EtKc+FvF8SY04aKwgCmIK3bp1dP31pS z6Xop1SPIP4Dp/a27yauNQsF66a06p5y5IKmlVX9p0PLRRQAx2EUoDmhHYgO Du3T4i+zt5Qg5TErei71PZTVYyC+C1K6kcPnvK8p0qWh15lGh1ciN7dedc3Q 9tbZvyGLCc1gMOvmQQbTOChPUDami54ClDG5PwQfrEJiCjwFFD+IekA2yxZJ /Ucn2MQq8g24u12MPXxAjD1NSSXt+FsGBdn6X42i8kg527g35dJVKIcY+uwn 9Jng3klUZVFon6huL7kUFcqhse2GSThoAgc4FTIY2PTs39BlsUiYePaGN5B2 +o4maWeayImh5ZBQgMdP7cB7Q+85UYbEn87NyHX9IRphQaa+V+U/+XgpfAAt eeQChOjfoR6ryHJdJyHb07ZeeGf76lOvCbVwL5RVu0VRhR/Ywzv7Q/gWmCWE XMUDp17rWQAQW4hrdtKtoRtpVEVlFiDs7rpw6jUqmsJNAPkb+H8yXSf+Ze2r QrPJpZM6puZzMw9cIUAQPJgSNrJ2cIyo3b7taeksF4ysJgtVHqvDTdQRUxbX NrvOvoeEKA57aXd+fbLqCbNnAdpVnCSRigzyQmAta/bhc7LQqlTjZuya5PhY gYCaqV9oFs4BxHYllPz4vaQ56SPO00We/aQ/NDNVHg/2TMox1CsZNmdXeai2 oddRv0P70Jtx2OSJ/hk0PZqdPk6rkDe0DxwVD0FpM5++tX3bwzuF8J1Db+iq D83u296zAM08mYjRe6X+s0CtXoIhZ/4UKDL15l+K9h8FLz0JE4a1Z/9Gi25Y rm9BJPrxHyyr0U40Cwo8NOFxVpyttK/uKTj7HuqCfo+Gvrpy6sX+o6CDLaL3 3v7BnklYMvJ+fjUTS3bNfwFmhj9s\ \>"]] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Negative Feedback: Homeostasis", "Section", CellChangeTimes->{{3.417782633546571*^9, 3.417782640482194*^9}}], Cell["\<\ Here, we look at a negative-feedback mechanism that maintains homeostasis:\ \>", "Text", CellChangeTimes->{{3.417837839286218*^9, 3.417837863872123*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, {3.417731462091422*^9, 3.417731462178471*^9}, { 3.417731504226867*^9, 3.417731504315766*^9}, {3.417761590500195*^9, 3.417761590590663*^9}, {3.417781081732826*^9, 3.41778108180133*^9}, { 3.417782657492786*^9, 3.417782658153671*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztm4tRIzEQRI0zuZQuBBK4QC+Oy+OgbAmMZbVm56PxuJuiCtqaaT12VytT 3l/vf36/n0+n07+P778f32eKoigqj96eWJVRoo6/tYiSUUTJKKJkFFEyiigZ RZTLyOEmrr2qmNQxqVBmrxVBmRystcb9cEvaOKBMzzth470o80tI2HgnisVb wB0owzehz4lyHq25xij3fy0vlKEvmcDDBu3H82qz7YvxYNy3w31psxFFdIu8 H3l3rWxFWW8zOII7ULQXxVebR1MIQrHR4A9yu4JFXPbzqSlW42+G5LgnQtGf qcgQN9xEkvJaOdwJGc6yAglFebzPMeofiDLsbJe3HcWxv1ug1SUxCUCGWRBR BAnIMAvyZolCMbsRziKQYZXjzhKEYrbRmmYgY1oseq/ozBKDYrj/nYUgY1oc vPeciihtLFFcRJQ2NhM3UdrYMijCJKKsByDDLoko6wHIsEsiynoAMqbFZRbj V924uIsobSxRXESUNjYTN1Ha2DIowiSirAcgwy6JKOsByLBLyoxSaAV7VRR3 EaWNJYqLiNLGZuImShtbBkWYRJT1AGTYJRFlPQAZdklEWQ9AxrS4zGL8qhsX dxGljSWKi4jSxmbiJkobWwZFmESU9QBk2CURZT0AGY9L29daRWIU6RMDRFmX 5gTzf7pGJKJch2YiIUofWwpFlJP3WS/B1BqKoLlUWhTRSN/TUbkHk6JIekuj oraTn211JPCQ+qDcN9Ev3LDeC2XYVgODtxZuKD/6/FyM3w5rB8pNp+svBigP J7iMokx9fpRvU79tbg7ij3LTdjYRJATijfKz/DDIeedifGjikxLcL2oxXq2b vCYudrpFepb1amQc6nqwTMUS999JLOXKkA5Fs1wjI051UO5vRtJ6ZISpDspg iyBtgIwojbY7wgbICNJw5ybsgIxAZbzbHxRRejUyAkWUXo2MQBGlVyMjUETp 1cgIVCEUnYiSUUTJqFQohVYwovRqZASKKL0aGYEiSq9GRqCI0quREahCKDoR JaOIklFE8VGhxZgovRoZgSJKr0ZGoIjSq5ERKKL0amQEqhCKTkTJKKJkFFEy iigZRRQXKZ9wSYTymVzj09+X4BIo6vxsKCU+/X1Nr3GC1XkUR/+0ITKipATJ hWLdYDdKicv+crfX1c+NQJXZg2lFlIwiSkYRJaOIklFEySiiZBRRMmqA8ryq i0JR1Fz/AX4nYYw= "], {{0, 0}, {203, 229}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 203}, {0, 229}}]], "Output", CellChangeTimes->{3.417782658703268*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"HomeostasisReact", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "R"}], ",", RowBox[{ RowBox[{"k", "[", "0", "]"}], "*", RowBox[{"e", "[", "t", "]"}]}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "*", "S"}]}], "}"}], ",", "\[IndentingNewLine]", "\t ", RowBox[{"{", RowBox[{ RowBox[{"e", "\[DoubleLongRightArrow]", "eP"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"J", "[", "4", "]"}], ",", RowBox[{ RowBox[{"k", "[", "4", "]"}], "*", RowBox[{"R", "[", "t", "]"}]}]}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"eP", "\[DoubleLongRightArrow]", "e"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"J", "[", "3", "]"}], ",", RowBox[{"k", "[", "3", "]"}]}], "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ODESys", "=", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"HomeostasisReact", "//", "interpret"}], "//", "First"}], " ", ")"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"eP", "[", "t", "]"}], "\[Rule]", " ", RowBox[{"eT", "-", RowBox[{"e", "[", "t", "]"}]}]}], "}"}]}]}], ";", " ", RowBox[{ RowBox[{"ODESys", "//", "ColumnForm"}], "//", "TraditionalForm"}]}]}], "Input", CellChangeTimes->{{3.417707878456383*^9, 3.417707881561127*^9}, { 3.417707947248625*^9, 3.417708043754384*^9}, {3.417708076035349*^9, 3.417708077588026*^9}, 3.417730813770281*^9, {3.417731661942531*^9, 3.417731669115235*^9}, {3.417731702811681*^9, 3.417731816324857*^9}, { 3.41776203408499*^9, 3.41776203629243*^9}, {3.417762070636538*^9, 3.417762079567813*^9}, {3.417762133507612*^9, 3.417762139267024*^9}, { 3.41776224055542*^9, 3.417762323642906*^9}, {3.417762407363379*^9, 3.417762414785096*^9}, {3.417762576822515*^9, 3.41776258463234*^9}, { 3.41776264157549*^9, 3.417762643329834*^9}, {3.417762701044019*^9, 3.417762718247538*^9}, {3.417762774878155*^9, 3.417762775921088*^9}, { 3.417762808804112*^9, 3.417762815318438*^9}, {3.417762894178477*^9, 3.417762999866468*^9}, {3.417763182130553*^9, 3.417763182204953*^9}, { 3.417763406968726*^9, 3.417763408127091*^9}, {3.417763512439434*^9, 3.4177635278644*^9}, {3.41776382141425*^9, 3.417763825093554*^9}, { 3.417763987212276*^9, 3.417764015032127*^9}, {3.417764645162184*^9, 3.417764645970064*^9}, {3.417781107175815*^9, 3.41778110858282*^9}, { 3.417781151322069*^9, 3.417781153699481*^9}, {3.417781193275481*^9, 3.417781206959887*^9}, {3.417781387146774*^9, 3.417781388832822*^9}, { 3.41778196516312*^9, 3.417781975268545*^9}, {3.417782676945988*^9, 3.417782692299988*^9}, {3.417782729840072*^9, 3.417782769988143*^9}, { 3.417782811317876*^9, 3.417782865163831*^9}}], Cell[BoxData[ FormBox[ InterpretationBox[GridBox[{ { RowBox[{ RowBox[{ SuperscriptBox["e", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"eT", "-", RowBox[{"e", "(", "t", ")"}]}], ")"}], " ", RowBox[{"k", "(", "3", ")"}]}], RowBox[{"eT", "-", RowBox[{"e", "(", "t", ")"}], "+", RowBox[{"J", "(", "3", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"e", "(", "t", ")"}], " ", RowBox[{"k", "(", "4", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{ RowBox[{"e", "(", "t", ")"}], "+", RowBox[{"J", "(", "4", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["eP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"e", "(", "t", ")"}], " ", RowBox[{"k", "(", "4", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{ RowBox[{"e", "(", "t", ")"}], "+", RowBox[{"J", "(", "4", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"eT", "-", RowBox[{"e", "(", "t", ")"}]}], ")"}], " ", RowBox[{"k", "(", "3", ")"}]}], RowBox[{"eT", "-", RowBox[{"e", "(", "t", ")"}], "+", RowBox[{"J", "(", "3", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["R", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{ RowBox[{"e", "(", "t", ")"}], " ", RowBox[{"k", "(", "0", ")"}]}], "-", RowBox[{"S", " ", RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}]}]}]} }, BaselinePosition->{Baseline, {1, 1}}, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}], ColumnForm[{ Derivative[ 1][$CellContext`e][$CellContext`t] == ($CellContext`eT - \ $CellContext`e[$CellContext`t]) ($CellContext`eT - \ $CellContext`e[$CellContext`t] + $CellContext`J[3])^(-1) $CellContext`k[ 3] - $CellContext`e[$CellContext`t] ($CellContext`e[$CellContext`t] + \ $CellContext`J[4])^(-1) $CellContext`k[4] $CellContext`R[$CellContext`t], Derivative[ 1][$CellContext`eP][$CellContext`t] == -($CellContext`eT - \ $CellContext`e[$CellContext`t]) ($CellContext`eT - \ $CellContext`e[$CellContext`t] + $CellContext`J[3])^(-1) $CellContext`k[ 3] + $CellContext`e[$CellContext`t] ($CellContext`e[$CellContext`t] + \ $CellContext`J[4])^(-1) $CellContext`k[4] $CellContext`R[$CellContext`t], Derivative[ 1][$CellContext`R][$CellContext`t] == $CellContext`e[$CellContext`t] \ $CellContext`k[0] - $CellContext`S $CellContext`k[ 2] $CellContext`R[$CellContext`t]}], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{{3.417782829900381*^9, 3.417782865632791*^9}, 3.417837568747211*^9, 3.417841982941668*^9}] }, Open ]], Cell[CellGroupData[{ Cell["Signal-Response Curve ", "Subsubsection", CellChangeTimes->{{3.417837803502969*^9, 3.417837808222047*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"600", "*", "2"}], ",", "400"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708185938001*^9, 3.417708225066429*^9}, {3.417708938849448*^9, 3.417708938949304*^9}, {3.417729994817061*^9, 3.417729994961415*^9}, { 3.417734582520106*^9, 3.417734582629582*^9}, {3.41777856275291*^9, 3.417778562817604*^9}, {3.417782066818382*^9, 3.417782066920951*^9}, { 3.417783225728059*^9, 3.417783225811332*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnQuW6yqSRS/ukdSUeghvArVqJj3k6ptpW4AAERBf6ey1XtqWZTgKOA4+ 8rv/+uff//vP68+fP/+X/vz5z//8+fMCAAAAAAAAAAAAAAAAAAAAAAAyKeXP U/9E4Bs0XgyyZkKTheWn6RIaMABHG6G54vJuOrSgf3LDWeoAG3ybbq0N259C fxBhs62AKxYNx1kYGPOJKqJ7B5Zasfsh9AkBvqN/BPcGrLRi/zPoEwL8BhV+ C0O5FpnNCH4XKouD2dfpz7P67Vf1sl7nRK/gJ32wFgImSKnaACgeP4crw33d 1l7LPIo4bS6gV/CThdtWCJigkbt+/xYTg5PhWp85FdnwGfoEP9iHC8R5MFk5 7MpwjSFla9Xs+ASPbnBQjOANdQAiQ8MVw5bJDNc4hh7BD27tCkpmtVTlsPGQ cmJhBGNKOZojCeCfzD317Kv3mpzh0CP4geFikooMdxx9NV63H8pTGmVjzCMB DBeSYon/0nDf3Z/yYONVXnbzTbAJFk3ike2bzhoufzU0XLkniy7BDrYFopFO W9P5osnxt3yWvRoYrr4FAj2CnWy4juj65+SI4bYAbdGkccMR+gQ7uLUrEqeG qpdDUnFWudOdajvmH21+5aJXgGfTs0R5t+T//02//zU3wLuGu64OgCfRWlH8 Pjl25BqZbHBLcnOg2asPgAfBYwCC4TiqAyAqxYr9RinV617ZSHDg4bBsSXeW Is9lw2/g6Rw/Jv28XimjfYCjbADuxnnjm1zA6UirbPgNAAAAAAAAAAAAAAAA tvFyV35j8deLtB88aQFhed/CbS2j0JHdbu5B2hs/SkBcBneJmutwIu2DGyEg MF5uUWvo8PJd8MGNEBAXL/fMDHS46eduhIDAODHcQIe1si9uhIC4IMPN40YI iItrw6XsrwPCGs7RSm+JP13f/32VlDLfhsO2AAPOopjjT9Wv1wTD5dtw5rIK PGmZx9tab45DUdKKfBvOV3s4kzOJ519KOxQlLsmJ4Zo6nDWHdYiW8PKN2uSJ mryMOJo6rEUd/P5/NaxVLHAYzlRGG5cRFRbl2XDmog5+p9LWKhZAhiMj7jgf i1gtHX8PeflqDvpPHcBwdORHlT6uu/XvNnjq5n6UEIDhFvCqC/gHhlvBrTDg HRhuCb/KgG+wSrmEX2XAOV6WoWucbrR4vk8ARMCt4XxutHzCZSwDxMXLvs8J TyvQX97/hCSXMI+XCKRx2+oudTF+D7j9rgPghngdzQNwSz5OS/VhfxaEJBCe 3hbo2HDjfjZ6d/2TF++uC5a6VAAawHAPMFwQmU+gneESmMai1WgkLIv5AYbb xaLVSGBZzBMw3C4WrUaivSzmVbjTiDLuwrVKtO7EkWBqCDH6y2L8VbAUxliU w0scrVIG6VE0jmv6PksTzxofeB8yuo552i3MKZy3LLbCOBuHUVW7xFBf4tc0 XPMUw3W+UhnblTUIPg3HWlT+kNfw7laBLTd0zdhw8zUI6GZlYDhAgLk9Wob7 eI21Ph0+F/WRfsSs9WyjHv+BaRhOq4/eCc4Gae3SpPQx3Le/8lUpyyGWPVat ugRLZwGG44G1Sc6l/VZxVMVdpyCVaBiuftJ4BS4Qj9a7o2Y91r/lEt9QkVil a2C4feTbOTV6r2ZPpmOiznE8vrRn6QGEO0I+WmViC2A5G2leo5EDwzGgluE+ ayrVhFu49gVsVLkMRU1qLYuFUO4GvSHl2XFOLWcjyWEgWjRkxhDuBr0h5bu1 yiZzaDkbOe7CME1Y4SZoZrim4xylOVMVTmKwQFjhNugb7jRJcmE5aw32EVgl rHATFFcp3y/qQ9+TrPu7rYLIhouq3ATVDJdvKTdOe3KHt65/nbDCTVDOcFmO a59p1nrWvQaGewa6iyavQYr7nGvUftbdBoZ7CNoZbuw4s8UL814Dwz0D9Qx3 6TiTNGff3e0VrBJWuAnqc7ijzn4X07ecfaeJbLioyk3Qz3DfFhq4Stty9n0m brcNK9wE8XZuOWfCcbqTOQd9BoZ7CBoJrnG/a/YrHdpHRXDQZWC4Z2CS4bJa x56yvv9EkbgXGla4DSaGm3bccywX9zLjKrfAYpXyfbTxtPf5B7Ro3IsMK9wE g324U8VXGoSXLH30FxjuIRhlOJLjRC3npL/AcM/ALMPRHCc4snTSX2C4Z2A1 h3uVXWymu8mkOS8d3YsOOmGF22CX4WrH2VjOS0f3ooNOXOUWGGY4eo57CYws vXQXLzqoPGMNmRHDDLeQ417sac5Lb4nab2E4GoaLJnX101KEtwlsiHpFN2wK WSyHlFU3IzTd/SwX93rCCjfBOMMtO+52lot7NWGF22BsuJPjdC3nx7VuhJCJ q9wC01XKz/vzJ5+L3tMPw+0TVrgJ1kPKWgHRAbuWg+H2CSvcBvMMV3c1VcvB cPuEFW6CfYbbddxNdgniXkJY4SbYz+HOIsj+uYPl4l5AXOUmOMhw5yaj+ye8 5+KqDyvcBA9DShbHRbdcXO1hhdvgYUjJ47jYngsrHIYj4SPDtWQsKYtruaCy XzAcER+G6zhuRVtQy4UU/UNY4Sao+G2mDj7HEdKco17uSAqRuMpNkI7WhuHW t6VnLeeorziSQiSscBPcZLh2j1vvhlP1OurljqQQCSvcBCeLJl0pG/omLOeo lzuSQiSscBt8bAt8zpw6xle1o17uSAqRsMJNcJTh2k237bjpH+PZ4kgKkbjK LXBxL2V26uRBUu39Ahz1FUdSiIQVboOnDCfhuCh74RE0tgkr3ARXQ8q+4/ZE RvCce4Fdwgq3wdOQ8iXluACWcy5vQFjhJjjLcB09HG5x7jnP2sbEVW6CM8P1 mo+jVU+W82RBP0qohBVugqtVys/5HMX0xaTihZeO7kUHnbDCTfA2pHwJOy5L cwmGYyGscBvcZbhu1+PyxttlKblynBMZC4QVboLDDNfXxCY2lfAUuocTGXTC CrfB3xzupeG4FwzHhJsARsFhhhs7TsByTCVu4UQGGS/xi4LLDDeQxde+MBwT YYXb4DLDDbofm0FgOCbCCjfB46LJ+1MLb1GrcOQ4HypWCCvcBp9DSo0c52vd xIOGNeIqt8BrhtPIcV+vebCcvYJVwgq3IaLh+EaVnwRvbznr+tcJK9wEp6uU 7w8uvbeG9cgShnsGfoeUV4NKdt22loPhHoLfDKed416mnlOuNzVYL4pV2r0R j5ZYU8ooN7NcZMOxKrs5KiPK5ToMHGe1gKJuOLZ6YTgSnjPc5aByT3v38xZp TttwzadrRcFwBDwvmvx+elz0esmXizLqYzzV6ppP14qC4Sh4XjR5XfXDvV56 VbSqByIbDo6bx3uGk3Tc1WdVLRfZcJsFPIt2uHhXjaUGfpulX39S0XKGhtus GIaj0IlWGMPtdNSZT6pZztJwu2tPm1qeRSfDNZ8uViC1mDj5/iZKlrPaFnil /bWnfTnPoZfhmk8Xa9gfs1zlONkmV7Gc9tJDZjjRdS1Q0omWK8NdfYfK+0Fh yVLdcCl/3NsrZRH0FAJkuOvuoLPWKlqLvuHSK2sc4akw+BAiw005TmVDUa4W 9YFZtRa2syrGJekJTMzh9tc89lvEheNEPWcwEyqvBYbT4cpx211Mx3BaPVbM cvZLDzCcBr0hZbWItVcDQ4vMOU5rx0ygInvDrRJXuQmdYOWG272BiqVBHDlO xHJxu21Y4Sb02jkVy8U7HYyrc3pynMDI0spw1drJUgl8ah5AL1xlQ2w0iaLh NLstt+VsDJcOVkuA4Uj0o1U1g7nhvDmO2XMmhvutdGvWoDequAfz4TI3HLvj WBZPVb9OuEmnv/Qi4DgaKvvFfEUxnUQ477oYrUUhdlJhOGwLaCDfzpzfgFMl TdbHmXh1dhrZSa0HeikwHAGdO6IYy1I+awoOy8FwD0F8JYJ1jD87qJw6a19O UeX2HXBMWih1/j688ofVUsAU42gdu3D2+3Df0pjOYu4nu5azXzTZWBVjkvMI RtF6rxqntLkrwJtLJmu9PGVfy6nOjSs13hbY+P6B3ygM25njC5DfcLpLIhS2 NpANN75fW66B4UgME1x+hhPDERxnZbmleq0GZh+9MJwOo3YuN0TtN76PAk3q nWPVcnFnQmGF2xDPcM4dt5jUIxsuqnILZqdw60MOM8MZdoWFNBe324YVbsJw SJkP7h0ZLoDj6JazGwB/nq2XwaXmEYyilXKWKxDoShTHmXUHWtjM13hgOBXG 7czhOJE+z+A4hW5CiZvZxjcMp8pltI6d0eUaLA3Xq16rf097zsJwbKtiLGoe QqhfCxSlbp2q10smLWdouM0UB79RkG9noWnUpuNU+/eM52C4h3C5LbBdgVBX Ijlu59McXFvOznD4tYAm19sCDDXYG+50rn4vubCc2aJJtf2zUAgMR6G7iFez XoFQi1DKPZ1rdtfX4E1NLZ9Kv1VjH06HbrROhnO1Svkp2V4EiUEcLQVuf6Ny irk7l/dSXp93VYFYg8RzXN9ypvq2KvcR2Chc30vZfkWpwYPh/HwRdyznRR6d sMJNmL8TYvDZbxmtviSZW0I6rm05N+rIhBVuw9bQPX1m3d8jjeUJya5EdZyP vtGaM3nRRiescBOW2/lrsuzQ6ci7BsEWiem4hudM9uGaLJQiIe6mXN9L2WmD ejTZvWNBuJfTCv+mZHvvVRoiG05C2225vP+h3QrZtO2iRHHDUR2XXqtdi5tc hYmclDXjxqIYl5wnMAxXes/KGqY5WqrxqUYhciw4bvnLnJ1Dho3hOs8pRXgI YyRG0cru+ekbzjjDbTlOShKFtxIY7hmMM1z+t7ZR/aR9okbHDu44uxEu10br vpIHMbrTJDdc3TotwzW2BWC4KWIbzk0YAzBxpwnBcOfiVPo1rQZtwx21jG4Q MDFc6r1YLgVcMGpnsuF6NYi3CKkKVcMVWT+/M6euHIZ7CMNFyuyM7hyucaw6 U6tfz5+rl+CqW3EaD4cqeTU1WaXr1cNwFMaLJscq5cmYrV4Tw3Av1QRXPhbP 7Q3H8uUDw1G43PfubAu0DGeY4RYdJ6fnW1P52Hzzo0lcTVPDdiiwaELi0nE/ JzTOSufNo79HGqlQpUF8Oi6dnhQqSknSYoQIK9yEy2idHZR9Np0OnHux3mIg yXHkj6wwniLBcE9EY81ep0Vo6yafR1FtMByoUNkk0zLcdD3fUy0N52CVkmkO xyfnAWjskSm1yHxFuREkxbUN52dbgGmVEo6b50YZbu1iROX1DNdYhzLeh9uo Hn4jcSfDLV2MpL5uhmuuLUmp6HO5iTpVCAxHQGFlXNVwvhw3HFKeVAiJ6HN9 1wK5FDBGwQ2ahlvstoKOOz15eTLc4BWhFBhuDq29X9Wu5Mxx7TtN7mY4OG5M KlGoTbiKsrbFj4mIdG64y7xLLgXktJx2swy34ThuJe9yj7/HQUUBQzCH4yfV NkvV99o4XPtZUNlwzhz3U2xd9vueU/t9OGwLMNFyWUqt2yJH0eIZemobbqID NBXJjSpPxbYiajMTGjdv7sfTocZZj6LjsbbN8s/13i2aYcNxBoa7qq99grrQ unajant+S+n4Ocj3ofG/F3uM3/oWu3RZVkgnXHzfZPr9+LLC/jXb9R3DunvR yB/yM88D5JsydNi8x+pCm0c7OWClAv2utGg4217vrd9+F1hPh25suLHFRr9V m66hY62enqUa9A13MYruvm3X7b0Z7jx9O7/1eelLOYnrJMZ9cTfbh/vWufiu We+xqLjuXeWb35POHxu9dM/VVEz2cu52p8m30tGb40/a9B9vhqNkODGBTLCs drCJuZzv7HWF3c8v12rw0R1sqj1s1X8nn8S1znVpOFceK4RN7Xvv9V/bLd2V j8YSvFPp9VuF4eptgb2+wcvIY5YWKxmG6xvMjahatUg0x9kYbvBWJ8OdtusN Hec2jY0Yry60nlIriDdGg+G6GW50pgYDh/n1WM6oncs9z50Ut/jRLbaq1dds Y/LRm42T+HZn5wmZxvoMR5SDV5QaAq776Yv2Z7jWLrdOhosxG1tklOEGrygV ONvamtKjrjqE4QSHlAOThfdYzrCdU+c5tQZfd29M6lGWbTOHKzv2WVF9tLUz vKH8GR4rmd0hjmi43jfyrOGUVwMUazsq7Ruupal1Iln4/I/HbsionX9j+/f9 xj9tSqnB0HCNqqf1qAo3jNIm08Ifa7KC7jznHJzVCgy70tz3NuXTUtzbcPDZ h0607mK4Vj8m6FGUfmPDwWcZ8u1sa7j2PITyaSXxkQ03VL71bX1DxEPhznDU j+uot4nScXk7k/SLCuC2jNtnuCiOM4lSnn1EDGfd+P6Qj4d5zHfr19FvY7jX 0QMEDGfe9B7prZowVmAddQbHyV+BRZRS9nfnVqLuG9Yt75C7r1K+FWwXoDEQ kK7iXOe75vzVQimDPrRY5J259z7cV8J2AQpTXeEaGnW+a85fLZTS7UGLBd6a TlhS8+lqDeaR35cgfhE3M5yHVvfJ1RSOo6vah35fgvRVmC2afILDumjioc19 8owMx9EBhC/DaFvgWzXrPpyHJvfKMwzn33GWUdq7GaTxURdN7pPrXYF7GI7J cXJXYhqlrcpb9855aHGfTAwp/a/wzcChQvJSfERpha2bVZ9HJzbfw1ujjU8B O5/n4iNjR47gtTiJ0gK18LhXokEvwx2G2x5weGmAvzo29xQFe5OXKNGphMe9 EBV60ckNt50UnLTA/ia+YI6zitJ2RCrlblrbK/37csqHnRtNnDQBw20zL7Ee ZRMlnu+g/itQ04102Q6bjlv8KDcshhOyhkmUfivdHMTAcCS68ak65s0M585x NoY7/V0pBCNKAvMBguGKcrg0ZWVyFzlR5+9D/mKlFMZNpPujcRu8l0bgMpyE PUwM13qgllH5zUtbe0U+QHc1HPNF3cVwm5Luz5OGlC8uvwlclfmQkuPnOY6a 2itzEdrpo/c0HHvnirxokk7PQI+JGG12UE+GY9jmLcriKEakNFKl763W9ULK 4sCQcYgYuqcrw70YDcfbv2yi9I0Gy8a3p4b2yqCdmbqmL8P94NFxVlH6NA8M p8PwRhOmGvy1g8NBpcMoTYIpHInerwXYYndjwzGHiasoZb7Kw16BJvLt7Mtw 3ymLt/TtKkoksgxnqiMIT9r4fmVTFm+OcxUlEjAchct23p7M+TQcXwdnuj5X USIBw5EYR4lhp/juhmO6QFdRInFM4aJegSbDIB1LxhvBdGo4bwserqJE4vgK MxYSgmE7F3fJbdTgqCUyNb5WYl1FiQQWKUnM+W0jnG4Nx9lDYLjAF6DKKExp 8IpUg9OWcLVv7TZKlyDDURiOKAevKDW4bQlmx+0u5nJJUQYZjsSs424yhytx 5DjHUboAiyYUxquUnee0Cjx3JT+OM4lSytgo5FMWl6xbM16l/LkN6rUTzecY bq80gyilmtViykcwohPmU1tsNIdnw/lxnHqU6nZZbidkOBLtKD3GcLz9ZONa taPUqm5NAqZwFOTb2bnhmDvKzhcTp47r6iiHL4pK2QO44GGGO2thlrc+MHMU JRLIcBTm9+HWa3DUFC0t7NO4xYGZnyjRgOEojNqZJ4TuDcfdVdau11OUaMBw JHphYlozcWe45kEHjvMUJRrfOZy1kBB02/lBhpNwHLlA9UUTrmVoZDgS03O4 e/xaoLs4Z+44GO4hPPjXAgf8Esklmm0LbNb7bV7/reyC6Xa+x5Cyh4jjSEVq G675dKWg94VGaGUXiIcphOHsHRfVcJ/UFqGRPdBp595cZ62GCG3BL5J24fEN F6GVHUC4x2d5gylCU0iopFx6fMNtFvMQunGqO8uyb4IYztpxhobbrPgzh9sr 5TH0A8W0bBzFcMaOszTc7rLJ8RdcMYwTwyZNIMPJ9PnZQu22BXarhuEoyLez J8ONlcgInSxVO0qZ4TabCIYj8aRtgSsllo5TN1zKHzeHMPDbNI/KcJdKxBx3 Xay+4VKe2zaqx743Bfk4RTKcYY5Tj1I1OV+vH4uUJJDhqKdEqviqSo7dARiO wpOGlIaJ5joI9lGC4VR40JBySoic40zqVQCLJhSeleHmzjLJcXYb3xOHx0Uh w1GQjtTerjkrxjti43LNNr6vj04U5aaN3aOS4Jw0xvxtjTLVDwNhsC3AJAGG oyAeKUeGm0UwxfUL1o/Sj5xsV2BVAaZwJB60aDKNmOJBwRZRSiXrpcBw0zxp 0WQeQcP1SjaKUtrJbe8ikOEIPOZOE5IGOcndkn1EaQUYjsRDMhxRg77jXERp CRiOwjMyHF2DnOaOFAdRWgRzOBJPyHALEgRFt4u2j9IqyHAUnrBosqRA23Hm UVoGhiNx+yHl6iqcsuNguGfwgAy3KEBSdkOSdZTWwRyOxCMMp/q5tcKto7QO MhyFO69SvuvduoVCilNUYLhncN8h5X690ikuVa/lKhPk9zqCirfgphlu+4al dyEsYmZKj2w4zOHmuW2GY6lW0XFRDYchJY0bzuFS9ne7LDXHhTZcXPH63CvD sYwkywIZC2uU/i0/bp/FiJICdzufi1My3GdFkt1wSo6LbLi42g1gDpWJ4TKb sdcmrT4TLlqPHBhSUoiZ4dKn4N+y2fNaUZdOjovbZzGkJBHEcA1zlYbbr6Jf tVzZr694GO4ZcIeKw3B16mr5rHhTFvE63lvHUTstDEdCM8NN+ufScPWQUhix SvIFk8iGi6tdH50MR0tY4w8YIFVz9U0kUoc8ob8t1OEOVV1c+vLaMpwtQhqO Un1c5hoYUpIQznArhvOHuOGsboDjAIajoJrh4iKjPy80boTit64m0nO4G5jt B5GLuIvhkOEIBNmHM0fiKm5kuKji1eEM1e9MrFHDLVpD4DJuZDhrEXFgDFVq hv4uhhOwBAz3PHjbuWUuGG5QomTpWtxklq4F5nDTsF/IXQyHDDePfKjuYzjR PZS4UYLhKMi3840Mxx2tGxkuqnh9kOEocE95pUrWBBmOAjIcDdaLuYvh4mrX B3M4IlwX87ecuxgOGY4AMhwNtqupEkPcKPEZriimE5zsJ02nE+tc+7MxXL4u Ci0Kz8or7+CQm0bIcDPD8TpOoFh1+BZNmob7DVM6XtYnl09SKoxUvTwKepvx W3p1/JW95O3CyHBU+C7nLoZj81vbcMW7XcOdnVW8f3qZ6lLKA2d78oBFEzJS P9WJGiXZIWU9mBwY7nvi78vaSkU5p4RZF9OrbRsMKckI/VQnapTEDFd2+XnD 1S/bhmv7ucqX/I2CDLeAzE91YkYptW9ZXyzr9KJYLsmdUj+pJXQNV54+znAy 36z8ZVYVBO1KfWC4g7fhpBZNymlufqAzKWuUNUycvURZupsP+Wa+oeFkGiJo lKQzXHVkYLiDV8dw+WJkrj87Ip3hMKRcgv+a4kZJdJWSYLjOefm07DSAfB3v VIlSbkjJX2RVQdyu1AeGOxBdNOEzXHvToaoOGc4r7BcVN0qchqsHhudVjcvJ V8dwVXzP4W4ZTsBxmMMtwn1VcaMkumjSMNzXEal9Yp3QmquY1YdPxZw3JRau p4l0O7ON8L0Bw70RXTQ5PWapr2mR3uvTy3E1bf8xIN7ONzYc62XFjRJfC3cM 9/dZbq9jyJmPPU9Dx9O+XflQFJ9N4Vq25WwcjSlc3K5UPzk3KF9dgaMkabhX OSvpDSw/51XrLp23K6NWx8shKG8HxqLJgMa4IxVHQzWEFPKGE6BbuoIfxCuI 3JXKJ6fxP+NII3CU2NZMUvcVN2aGwyrlgFr4eWINw4nP4WRAhvNIT7hEiosc pYCGu0SqemS4AZeGi7RcLAZfAz/DcMhwXa4Nxxe/yFEKK90CZLg+E4ZjM0rk KIWVbgAy3AAYbobADWwA5nADTsKrbYH3MYE18UgEbmALkOH6NAyXztbgub7I UQor3QAMKQecDdcMGMsFRo5SWOkWYEjZpzOkvD5vqa64UQor3QBkuAHzhtu/ wshRCivdAhiuT2P02Dtx+xKjRKk5oo4h3QVYpWxT/i7gONo9naXCAMBwe2BI 2aH4xdRxtH/2fn2bJegAw22CDNejabi//7RK63K2LzJKlGC4PZDhBrQ7V/t6 dq8ySpRguD0wh2MChgNTIMMxsXmZUaIktO//GDCkZGPvOqNE6XQjKSAi30JB utI2MByYQL6FgnSlbbYuNEqUgsh8LrbfJqGwbqopgsh8Lta9OBDWTTVFEJnP xboXx8G6pa75KzGCTgBuwd9vBRgOADViZGIAbgMMBwAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAY+S/Eeoa0 "], {{0, 0}, {881, 400}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{1200, 400}, PlotRange->{{0, 881}, {0, 400}}]], "Output", CellChangeTimes->{3.417783226362796*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzVXevTZkVxf3yf2/u+e+GuyD3IbXcBuYMgrAgLggoCCypyWxbxhllcURNR Fi+AFGLlYhmDpFKxtErBDzFWqXzLp1RFTVIJEBPjLeofIP8Ab6Zn+jfnd/r0 zDnvs0tSeareyzNnzkx3T09Pd09Pz9t3PfD+93541wMf2L3rhKv37rr//R/Y /dETrtqzNxSNXzUajT8/Gr3q9BNG8v/aaIRf5vOY/OoU/2+Unhj/HwtUazt3 7ozfpvH3ZO03v/lNLN+8efPaD37wg1j/mvhsee33v//92gsvvBB/tm7dGus8 //zz8bs8k89yTz8T/Y025NkzzzwT61+r/Tz77LOxfN++fbFcvj/88MOx7Fvf +tY6+hnHtqU89Jcqv1UfHHPMMWtPPvnk2ssvvxy+pbIvfelLa0cffXQsO0XL tmzZsrZnz574bZOW/fCHP4zlUu+fegBB24KwEjVVvlEfAFtp7GQtwyjIt4O0 bO/evbEsPBv9pKfTJS379re/jfJU+San05MIQhmSQPbRIdToTTelt37c6XSZ O40fYZlNmzYB0Fh2mfyKhJxrq/fff3+kXx6o+DT8G8Bh0IAGjwEGlsdg3LQx RcX4kQrf//73Mz0+8pGP5I6XHVLMckN4+uKLL0aEpJUuAcZ5rgTChW/pt/Kb zIlU+eJYeZa7EirLj06wJXpPiZYhvvnmmzMnoEzavuqqq+JbS0oUzCVDOR6/ ifIwIRyhu+WWWzJUAc1Y9txzz+Umw/uZi1GXCSizRmZTM5O6mGq7HqYTAlVn 9+hHPfw91jdFKgiFBMWHHnoo1n+D1pC68kzAmmqZ1JfxD1KrSmH5jnct6lJW Ju+sRN4pvWJB8KjK5Bgn2sksHud2Gzq08ZpQo0PpiXdeeumltauvvrpZr0BM mQYq4tMkCb+ljggYfJSQY2pfH+cynmtMQ8ww0FDYqYeGO3bsiBNsXTR0MfHr CQhDyQe4RLy0xO3l8cGGEqmyiAQNZHHAWNAUqvDbvMNvvE6gDr0XPzK9RWrJ OK84RNhYIQyPYR9hZk5ZrLxdH8ikVeIokrNMHBBMgZ86/Zfp4tfjeTJ23h3K TBsM+KE89yt47jd9LlNUZKUkbrckwucAkIjnx+7du+NiuhR/L0aiVe0Jc0Ix QNeyaAylEt6RaSvrXpZOb1RyQDHFAihzN0wbcL9HLYiPGrf0kWzZqTeUPLM6 6DPqDmvr0EVRmBJMCBX6YiWFzCn7XCaFqMfTArmgessc7SOXXYS8etK/FSqL kBDDW8JJ4JgTHNJ+jY4igBO/J2VUymQ2yA+E6xt02ET7hJ4rrKR10J2nU7Bx wYtMizxLkbnHqNhqoFO5QDfMONHbUCbw1gT+mPDSeozXCoHwxS9+sUPG+Hkv IQqeXa0QhHTMUCYcmNRYwjNVXcloytomVXbt2gU9Bepl1h2sZSrCLAsDn6uk xyeeeKJjCwILbzksos96D9AXK1RYMrNtXIrU4BEay8OM7zR+ZX0hVAkkCqVz bQImsfI5BL+HnCfkvbVep24/cmBiyCgyuEanVQCBcmkBqbXHFqBnhxJwq1mr sT4JlrGhcfQtypcUyzfYwAw3mJ4VqqXFu0KzbLvHz71KJTCJwACDBkZMKAcD 81TywAbPSVNt0TDNbENdjJJdMQd/5g+7A9jJET/v1wZlTCEjVbPO2vBvf/vb WMaAchmUKCjBa1kO+e2ykaJyqQtY/CzgGPueNk4+rtFupwzIyfeWBZskWNs8 u8c0IBDHJy+lTv8u/pm1RlqGUb4Hzrqr/pjnUNvxM8trIuxvXXMxjVkmMEDf jX+Ws9oJY0n+0vp1x7BqmLxS3PZrJCUDNARTwAK6pwfKvyWywg/CswNS7LaB 9TCmsvgJsayAgjTfPRAuzBx57s3a2wbW27AfMMAR1wdDX739gQG+1z4Y+upB V8aYCc9AeAfG95j6MX2FXGVRn9FZ+IeEFWTkB5UX0Axp5COoZaoQxJoPvfLI iiYrPyqG5V0P2Ud1Tskkl4VSlYn4Vyf/qIaxzL1t27a1FOeobYT6OkdeeYyn sUzAZ/l+bxHdfnfphx2UP6RlsgDCEfz5hNZ3qQlIBjTLEuSOgfVgC4g6jnpx 9Jaa1YzxesRBgX2jcIDf56CFMrC5dPC5LlpWA+eRuWNgPaCFrYWMlro+obms AzNooh5mGERoLALCZxmz5bh8wPYUcSZ/ZQXS3Z07hlWbKw6oJmub/MhECn/v 1sdgTtjqA1G0A+WhCP1YrE9FEVoJVibhq91OWZTSE3WuC9T6yZVhawn59gfW PQ6jJbOG9Kqj96OD+53x3rfeDiAVah2wROl0cIzzoidiIEHlO8wAmN7oXDCx coLdOoXO59lZKbNJuBD6nCjkH9KOWZlvdzzPRgG2TKFGirNSx+wb8gdePtZc 4++Pxn9nkd+VMdkpcJ/SnadE6B/ds1Ynb5KiiO7/Jv5ZZrEZuVdEJnFYQ5pf 8HttuQSFTYYHikq04KLD6b6EqKyEbUQ/wA94sYu/f9/uj8RF7k9ggAWr/QWQ DtOn2OkMf0eHl4h9cOnBIeVWkj7SaSUMB2SbvnAYN44d/Vx/XAJn1OywSo1W r+SZcMkkJLI7P94SAh0uOYAi1ZINpU5eGf/QcyhDzzC3pdrBpQeHrLuVQDWB GRpfeOEwri8er1b9cbGhxrEtNVq9MtU+EX8X1dNY6aNtorICXiMqxJN0+kun 64/H33Vl8ZXv3xetWHvX1hqvEe/z7zFlwpko063++O2zi4EOsSNAxz2zp3RF xUKfGXWcPIoJO93+j3XjUoBdbjhS82vrqtzqQ7cFojEyyU891voYIVNbfIE0 q6wXaBmvjRdQPVkExDhAGW/iXEB9QKEz48Ci2RuHKD6XFSfeJfgT+R03NgIq WM7kE94GhViCoYwiUxKxqV4AZn31xgmINsUDpUYeBLWRYc25PDKTPApKifO1 Ku8v2gGTTmOZt0Ccq5V50/Jz7RHixQwjxIteHKG48x+El3ANnPBY5EOlx/Q9 WofS9FxqCDhpBQ29IqMoLvOmXpAsoV4o01FMT6FbBA1mNDFv9I1in3JrR1Gp dH6iRPh2oVKGhcsF+WnzX6hCLD/6THvEsGGTbHZxUbdDzaI3OK1XG/Nkw49u 5eQtE138sAx9Or2b3J4j4zkNbUGArcH2mLDtIaDBJGkPa9dMOZ15dhFq2/1G ael32h5pkZBIX49/ZtnlLnxKTpYNDdEaL10jxSc51kjfB+Qssx5MZEn1jcyK dLvywOA8y/tHsAWkTkDkv9WDw/s6ir6q/V2GJ26JEwUrcuo5TH8eX5gFZv4n +D111pv7YerFudpLDdYNausZr12/1jKBDCFGKvG+lzHF1ifNwzw5oq6XHvMc ocdQPzg2AWjIK0DjhhJ+NX2IOcDbzgN+jtvH4jdpTf7Q8JKqOcya8sGUEMm6 lOZ312r6oBKF2xQgVJm8qY5s3bTFthstfxlRZ+myiC5zENva3Xff3eLRIBLt NhKPmNpMhGObbkG+3lzCDTp9wVq2aIlUBVpSpTh+CMtAOCaENvi1CXOYswaL ZzkS9W7tjLc9OTxAbcPRLSUEHzUYWA4sDsysaXEWQefgb93MgvsNZggwUHfi namJxIl4Lm+8ZxFoYfsI6XxoA9Wh3KqbOKoQXngGtq3h7wjvYeJ0ReC7tTJ2 zpj5eEF891C0pAtmo6KYA4FNPFZsNbB47GtD6rVtkIj5HDc3ATsmu6gXty9C fuq+C+cyMwtaZIYJLIaQBcgqpqLyU8PKxiZZCGKOG/QhDmILPjBijrxqYWtz U+o9VGVWwk4E4rjAHaLO3bEIvNUFD5KIY4JsQJIgehDVaytA47wNJzWup9FQ 3hjdORRq6WjQMmYjiUTSIKzBkScK/TyHiEOg0LIzus5ALmWDIZe1qrIupb39 SXZ96g/CIg1jABMUEx/lcaCYCHfBepvWY4NtMDbMPc5yFLGJ+tvGpsUVFm3x Y8PHpIXkxJy5a1NgoWuJ5wHcQlA7S5CBmrgnuRISzXmBx5bDoQo0L0fEOc8M BdAqL0aIgEkgOvRnoxazJhPoM6HatDodprBiAWJOD299eyisrJGANV0Bslnh MBoJwDMrzOHaJHvXAA6FTo22az32Ht+9CCNIo0UxgsnEjICzbwh0VSY4InVO 9h0dMxldRpTaL3AxVO7aAnCJR7PCQSwweo3DGgUVBEc6IJgkrHf3IoBX1Q3s RhhmmJpiBeDI1H9yijqeiNFFJQB3lR48oj1JC6BIaH/QWnOIzxAenwR2eK0W kzaSaN/dVDqPxhxh10XaP5LhMSP4S22lag0d6nCJ5RxpOu2lzlrWPFaf8A68 jhq0F78tDnHV0DlU6ciLSFggZj4nHaNwk3aShVEg61cX4eiqFXMYDTPNWYBn mOJYBc+qH6qenEncKUXqObpnKNQ960oD9eHakVFOATVxgqwVgJq3dIkZzjAk kJ+dO3cOhnrwCnOEVurauNOWHqGDPTquzgxb9xPuwavLETSsxEzLWsyMEIqP J9ahR57D5WRqGL6+gM1CGFQXnFdrJSiiEhu8rJRndQQGzfFav8+b8uRQSAcb tFjyjBayosXszgtS5A+0yT4t5PFFKCoNFuE8UiuxxrGiFGU+wZCcmCBw1A4R S19YBL6qhAB8rGKsKnysUsIceV18NreqRssF/OgiUKIjx4jiE1LhByuuWRIA tWeFYAKZrY7o2Dg6QduN3x6sFvVYsY0dclSpRXCEZ4wgK0Cfu+NIbnwhPKxN 65krDR7dZWUDFZPicWrqv+D1eM1+g22lW3EuHq3wGRXDWoci9BJs/pLSGAcH COjqooJgNLCGQAcL0SgjW5WLSA3NkqMYODQYYlY6qovIsWYsZKEAxIZjtlIx rS3RcDl0vyG2TvYiYxynlVjh2KjEZGaBM31bgoBiMBAkJD67jy/CA9VF5Dgl k+sI9aVG3FPtcYA9sAig1dXkeK3EU2mTGXqF4gyt2vFredFq9w+F1OoPZkVp ID1BoTL6wyYlKa8tsELP1HahRPDRAFYisMWEY18lZWNhf0FRVkDNYWUD7hoj FM5S/oBKyfwDmcEZR6A12RAYqVG0whd2qgMR1koOUkSM0XJ2LF6uKSQibWa0 9GDvZiG4q871ExVGo5oAdMNsCMkhrWSEACgWeHeV4GQvB/AO9Bzk5Xid4QsV HACVT5sFXgCorITM1w0qnAM4ly4P2J1R5AccIOSQswSpb5dET8tCpGQ2Ci8O Wj5O0neNXgEnGJ9qDtiBlBz5g8Am9hYVQV14GYEWbNSGg02xysxzaMgBJ2YR 6513DoVzsNfiFBoLUhZ4wPEIA362tsspbMYKsgRmOO6MwXBbNaK4ppxqRlaQ O9QpAwcg2L2Jt5uXfBhRsVhot7u6YJyqlDaKBTyghiOQRqKmUwzeuh68Fpym wJg9s4Mr3HAxcUOvblEM6cD+IOLv5dWNTgPIFefpIM5q0ZhRSIFmlgWPZS7V sj7doxh7A2QwbilgjzRYxBhzKrMalj0RSA2WW03PIgbg7DUMBp0Q55dllm1W pqspKjcOwVoXnayeIWBOdkDOrCBX2d01G3fAlIXQoRU2Pd1QRrTlgxXdmn/l HUPQhZLDWYGwU3VGBd2qk36bIm70G5x3YY7dZpCTb3oapbzR8/YDjZl0VfHv f1IfkSM+TPHkgOWw21MzBU5XChi1CcPsxSJscSiRXMUzu2sEjn7bonSA+Vcb YWftBR14rd+o3XNgdUOHMxjC7qmlSSuWIWDgEeE1SoRCKOm1ixIBQriPzY1g ZiKAn7BnxkQ4o02EruKHXRcTO3iltliIt766D10+0zHVtmS8HVsVksjzUDoK wfoxP5PegOg6XCHz3NpXEkl6dkmvKNEBkUY6h/Xb2hrOMyHFHUdCS/OWGOzm dDSP9RPj9QQYZDuI4fnQdyjQhU3XeNCvhwrL3Fl8gFNRKpSQGZStoz179mAa DrRsa7Rgud3Q4ix9ykvBEUoLzzN/ldbn88z2pJ7U216ixzsUKBuhrfoM5AIY UlZ7pCkaqMrYReLlnFJ0kpUD5bUuHViivlrpwJMAAvstikYhAvayEvo3mIml cQWIh1cFJ347tYK2o+QAbc4RMlUMpCpzr3Ds6Qb3TgATtuw4tDYUv0X76UTQ KksiMvmSEgmQaUK6gx5scbV+QTPED+ojyjHSyurQnFNNKJgd6K0Z9XOcCoFw GHkOfEEmtWvpFfIJeDtSrcNdTIJow8ycN/pY3Yw56EAegiyjKcHeCKcKzJb2 lkyHcxlSBgh75GxDhvaRl5u0/NYmF+R9kQI3UQPKzNmrgvM6DWNMbJKKim70 KWIbzGRAoIGWsQZLXNQNNDM0GbVjco70p4rqf+mIDqlGyYA9v06E1cxGQgxM U/5fFwNY1hCXhhZYYWg9eFwfcbhmoxOep+0Z6wA4mjmBNA44BS2seVbCzNlY kbpnl/C+kZryTtG0h6h9JuwUgg5EoEix6t4cwqM4R+ZrqV9oIEeXZkOSlMU4 obP6ENZOexEeugywytbBls/4QpUp8G9ro5sRPlsRLoQYvX4IwiirIcw2YQ1h xwxI2SmmrcR+8klrQpcrmwl+gRLDmANHaoM2dKmhX3sgL1AaFVyBxdOSoJG8 M2QWiBwq0agnpGFf/LPKCZwjDKz6kyYDRxdrSyM5A7vWWm3EiDiKAMb0OZIA AdUvUiIVZs7WEpFu0vf4/Jl8lECcpVaqyIpq19Ce0P9Emw1ZR6JjNnG9QCwl pRpKXURBfBExBGwJBLy4+lQ7gyIy1Bbm15Y6WVZbuhnsAZCIzqXUzAhHvXqI BlWPRWYu/NrXvpZVPJxDYTOL5TPxDuKY2c44yqkaynGupu8ky0kl4kTtaqwu Uz70sBXIDFawmBJ2PjLWHiWahfYNiqhx2wN/o5Wpg1vOA0+94wxpK/AA7OAM RY7TuoL4p2XkLqZW2lLB96LeolibAxCeq//4oYj2hKoCUSg6Uh36OsxiLuNV q0H0EsOuLb1owpwtVHon9dnaAfAMhZbC0Z3n05ZrGZMVPMfrR81+cFSjffqI XDx5m9j3p77RjHZWlwqOJKQn4tZ2EEA146GXKsiI4+U8pwsU1qtCPZz6FW2+ nVc8ApKUfH+igzrsRThGgfUOi+GKImxZydy5pundsSWKIYlJm5jxJI0f1RpA lqeffjqL7z6ju7gxfamyvBvkPyheTzcOChFZr64jOecJGj9e1uyhKqWzBQ95 Ia9DMJ6TscdtD8YlVA78a6N+veJQ25UtJvAqEUCGa6tJhjuUAD0rAwI/GwJs Z+g6YkznDG0M2MOgMsTv0LLSMUnkz2xFFXras7yMyqw9A2yUSRL6krepJ645 ehQ2KQysvTUTf7tiblj/WC02Ows406vBBPEbrhgpHLw8uEQHaIJbmxuq4sfu MiinWk2wx3D4VOo25SZBzhX5Ntcy5epYu1kq32TwVvaCKPQWil2Kf+EM5+YS /u/SNnlXToCUtcAi2xMw7elDcMwKW3TxvLwEFZZEbzsBmHonQAMnbyq1qaEa 3TwwtUXf0Ya+QMONJlYVpkKKO77Aop28fJ4zVCBXmipYkYuaDDVv1hZY/z9O ieSF7CKDK3tgaTqsloi0zrjtLysSSGni5dfj64j08sNWYnRNQxT7Z03EIt/R /4G/Fw98t514WKCje5fSLjhS8WBnRxwRmgOjw2PqoXgcfjNVquVvxsYNbz9g JWLPxUqmyhX6lA8vHa+UMkcSxhkcYyHcSm14B5qg6kx7CJYesM5oCdYTnL4v /lmNQ4zslMZFmY2GUMe7aYXzJOEgFl9JAnZuKIhdWmORgIhm9wLBgLx5e7vy sdnMaG0Wtq668Xz4QgooH0ACy5ikuIXfmsNeyW/tKGCgJiiHaSlkgHSmhaKP mu1brkrU3GFakSlygpZ1DKS7iBXUBOEETJNIZSAbiHaz1mcWmzllp2RwRuVj xGay7tPWaIrGj+4C23yd4sCCBlKimL0rD7m112j2c+YKe1donoc7tGnjCwNd +Wwz+JM3K+5SKJytdzffH7RCdlUANjZ9OGS1ED5slMCaT4y32z1PkHfRVJna jUNI8mHFnLTd8L6ZaTIT/Cptw9hmxxOoluAMKnZ3+RKU4i0qsQhn4fgSUiyB cOXx4gFi1NzZHAZGSAxxXB3YsZjmFR7OCiGIvSgqE/9qbc6YhsdR/RrxMXaI p5SfeLJURMqMBXeqn3pAZkHOEazyS16J49O3R2Pz8ukAuoPTEwns2Y7e4LBX EURfpne9wQEPTZ0+NieODNXAw7xxWxsCNumuUjLYOz8hEYSrxwRRe+NmmZ3u +T26ZKeuuKlAItMZiCI9nUyCmrrvxATtU/YwKr1dHfjSK/A3zwdP55s579ph 6NjEGAnSTtLOP4bNyxPPZeiVb0nwLgqal2h9EzWAczyIPWCjyBK6x1ZOG5Er raM4Qj272SZW6AaFsJZaETnggLtoMfBIhf+btKfXKKGNtQ1Cs+6C42CeO5aU q0x3wMzOSuaAIo13UqPQjyZqztRs1x4THTTmjQVaSFq30WxU+nGKR5wtwVRU rUmmDGad7lM01hsCfowdD/JCyqQNhGSdo03Z70DEnLwG2cfsCvllfYVV8i6c 6QeBO+CVbIcv6TTg/TL55H0LsAkvDbU7qDhVeVHsgU3gREjp/dcfF9WDb8f0 5jPPbZ7vVL1yIN4QS1i819ba4Q0Au0gLDonCvqcXEmVpMfic1tsUdnMyB45r 2vweIdsaV8VxBrhyhhIEZXv27GndjgrboZcgFB41mpiNEWnUuvkGHwC7jjBB hAcOB5qMJJcviHRYY/KlAXxVZo8i0I6NglbWt6f1KwUL67EuUEW82dI9SUec z+2Ak95E9T3kcVTHIi/fiu5MLyYKiEqDWMY9RH+utVlRtg7lAtYdUxSnLI14 367dekn22ccFkDnj9SCcUcapsEsqt2iwP5WyqfrAvMsqVAbGV/lGqtjd9Yql MQuBPOtoQWdBujzOVw/kZdriNqRlBx9KOdkf7wTkKTLeHfB/TI0Gxo4ny+Kq HYMjNEcxPuTi1fH/jLZGrJJDZFkLamKC36E0MUZc4TTuZYoHZTqNDVKolXpb 5p4Wh//7pSDvD04MUuJl82J8/l7LhCwyn5IdmZDfoln0pUdYQhJ3KCpr0tPC bx5g186b8HFLGUakjceKoVHjTdTdDdoknw3XpDJd/y4SsPLkDLUuVYLaW6sQ NCta+Yq+avS7pbiX3tYuKOW1T3u2JOGGxoXispu5qQQ/p+zG+onBA+FkCYPS xBMeMVaybMi03RJzAm7J11AILQRkBGzICibvygKJGzU4xh59OPoh4shpL2fk HSrFhbV0+iPfMh7ea/ZDcczB2H7IVzYiwxIpPLzTJreWBmantg83s54mAcw8 uKvKK7giXKqyr4rPDrBJOVZcybudD63ArWKmG675QCiqKCLLqs3qbTwRlxXF iDYHkg9eQcd+NkKuHQ33k0oAMirzXRijSWsVD1Km8SpDCHOUgjcqm3VUvLMv xTPj76TG4Zfj/SPr+uFLr6E70MmwwTcrfIXoDjG3rGIOSDV0n0RiyczTa1Sx ly2v4t73kwmcyoEz6LDAkreJT85EhxghpXuERLtwGMlA4AY5FjdFYr9PK7Nr CKKFl9MpgVbbwLOElc6f0DIEKkjZsiOCQFiBA4cXwv9zjaGSV3F1dPj/9QRR UTeHZUgHHfI9ffDBy04GjqYbxeadJbLFCbDBeQBVhBVv9j2Ceb3NJo8pP0Ht QRjMVRjIAD/xxBMN7ZYEz2UNWRUlDlIq/A/D23E56TZtYFKcczYh2+yGgaZ/ GJVhliJdqpnqxdslbqT6dIvNRP08FCnSbBG0HaYeaXGbsr3lRG0MT+TiOlao VILgvDj1x3nqcwyL8CGsDcQlFX1PzVVZqcGRn7f51DQyeQg6Zgdi7M3pumJ2 CzaGIXVAQ51XLfYcSmvOu0QR5HhMl/fxVNytLcpjYVchwJxsE9AHOX1IMKTc T0ouCKRbCULXf530OMSYhFc5+hVOXNDUxJ7fYorV1Me2tMluvbNvBNgKP4Tg 7qf2JJ9kElDCKg8fJPQOEzGAE9TsHYMIGannk5kbegLrEypEYku4VtwJhOGQ R2laLgzDkkwOaDo905KwHdanI4N6JLaY6gQqCa/8yKnCGkKZruOs/Ms3OFJZ TECGwuJiMUHckvmVtINQ1rit0e8fESyV/S+AVI8ig9rEy76XBDmIh2LmFG8z D4KetQHedQMLeBvkHhEvoXdVLqRJH20qMCGYSyb5XKc6Lf5KJtcM4Tj91i6O NouomIZ071IymdUfWxW825dO5fjHuooZWthnoZtnWaOnw2aqAMzZGOKDyNHG g5KAOim2Jl0CyPPH3o0mvBXZYdmZ+jD+hJIqHfPUl7FEqMJfECKugG07cWZO WUN13C3E0W4eyVsB/OzCvq5E78i4q84DSErE22Btl1kWvq/oY76FEw6Ol7vX ecm0PlHLWHOYym8wMt6XyjOVAVJZ9aZs7RUjSWdZuadQNCnTiCpRX0sk5gUR 7ke+SKlF4lE7I2to9/oeAr/YulFzDXrDkvMAbNuO1O5GoXpX+mFrgVNy4RJr umk8b3OwmjBzZMcz2p5jOaw/Jc6tSjrjo9jgNIQ4biM3iumPvO05WNlYzCVv ArZjeeGe0MINafwccUMl2wU2WjcqtyIqtY33exQZ48i0wXECGRLZmuySxXRH 3gE0ZBNhH738yJWFY2dphc+ymmTuthIEHrciztbLPPnW6kRR7oACHKQ4lBA+ o2A35IR7D9M5QQFxeJY9lP9AbRU3MG/XShw4DWOP1cVQXkzAhPNScGVxcpWh 56UO0TZeaN/QEle2H2l9x0KFZ5GP0pxvkOtsuZ5OfaEY2bneUkISB6CkIpXj LD3w7NtaQp5CKMLKqvHZj7V+xSmEraEtlHzQz75wh77BZ4PO0M69s2LFfFO1 Q1F256pvkwk5O4Xr4eDGiP5E6/ek4lIfa4o4GrXvUId/1qfIncTWJGXPoGKS 01ctQg+M8tAzUnBOU27ovPn1z1q/6J1tx7vBD4ewIPl2ZsYd8cTghpdzAuuO oN7Rh7hITnah4HBYMncaKGCdeIgjV7nNECCy7V+ojYpv1CLOxk8XcU5h83pF 3GzJFm8dxhkozq8lH4o8iN8FWOcMFOtWHGvwrwR4RduwtqifdGyX4mQslTOV RN4ZmDeX8MWZJ15OIYstcjLhcNUGVA/mYiBZUS08JHXcDZLFFOkQbN5Rl+Ih KnV99weNNTG5jaqiHoF/06qVxHGiFkikdRPq3NwDyVcpNRh2WXOcQC34AUed bPpFnD3NETuZLJTDUD5PQ1GQP+CqBrVZFouGEaOZGPXR3dQdWPLJJ5+Ejs7s DRcaiK5tbS9hNzjvlQwT7mEyHPuCVq0oGwKOlxQfiaaQ+sncArYlk+Aeagi6 MPBnzj+N2NrukhVTwA1NfeWFRtr9eKHki1rm5DYBQSiMK3urde9GByMRxOTq x/CavLn3mFYF9JmDKEQR+7V6qDI4F5Ynw5k48IGBOE6Wk0+n4e7uckNVFA7r euveK//BR8A8vEWZwbuLopgMb39SYXlJgOzxBlkS/p3wMQzyuD7yLcUiqvBO mqxwvViORuvPf4WjOtCbdCpgIeJoyZ9qWTUKsogUkiUbl+vFQ5BC2dAcV8Vj XhOqjNkJtBzF+9HUTprDvpvjXvlv7sCPNdlziBZv8Fxv0qpavgkZHiy4RsgD ZUcrSX/mWXxC7KknMO5cNLsU9xJskFWg+1bKT3WWqSe6cpEI60hKVUrMIsK8 eCgVE9ZRWtIm5HLehJQfkuTwLWzrEKB700KbYQpJQC+s02C/MlDBMOBB/g8t c5SaBxVCaLF6zNaL+WnMiw/pS4bBzymhdV7pwXqTStlbhSRE7z+1zFFd2I0H ceapvmdnzO5jSLkKRtIoJMUslJ7TzoY2i6cI0Fdyz7LX7YIM6fuUZzlSEOst sc+5CrfZES+OiJcEygvJBtyOCqDxE+HNMwy07axc+ZxUx35LCWT9e06LTOYp +TXInYUbwQisRGowwkOd+0gb5aWA3LgE6TlO/QBFMbOnh5k9SyRv/Yx4yT3N PLGSjfMxEYc0Ybs11LoG27k6bl6GsmIaT+/2srEpk4EHdmjU2eKEWJA9IKgy YC3ZEtzShxf4hay0nPGTryoqpuisDRXH5gKZStAAnwGAAirSp6s8AxmT/prP c4LRz9eqxjd85iL4IESJ8YGI6UkAA6PCV67uVyDNkZrzlbu84zPFfKA1BDgK DggUs1D0b+XyPULgqfCz1/QmpEGSVHMeZlsJi6gXrEjLdlVMy3SZwZxVMeGz imUpn4BGoCf+VwnYGPDAhDezLtBB8U64FPOPIlodkfZSY7kkZxE0OpQFe7K4 Y8d0KcVYSNezfOmA/KX/ATt71k8x5PCVu65s3FIiBoLjoJxJjRW+KFbPMvYS o8TOBaWILxvY6GwhFHKOPkCMBSXmQqpKmwmnlVDGUSnIa7GnN1EbklZMjXxc esfmDR8Vh231MwOWG/6K6F4+TbiBGoOXCfiYPYJT+/CBAJZvHLyMFAcWmSaL fPvQZGUhhzTl3CFNEjnYJdgwE1DhhGeHUcsI49sgTy6hWJOjI3JAVFZpTXuW zGo5xIqVfTkLthYSoL6wpj0mLav5RTpKJtRgMAqWlSwKztrcJK0rg9vscHUY KEE8bRX35p8Fc/FZK1zPxFmH7N1klrm8ETLMpSPUHAZV4zeHnKmIi7Ub/cOj AG5cNVLwIlOsQPQiz56GjU4972K2GvI9cXKYDvU4OcQr8sp+sQ6x5688YQiW MHyn1Digb24XMYlLoHKEiv+l7zkbqMhRpyLKxaajGl6sxeaCrkG4gIzeJWV8 hxgFu3NSPPjigVJPhAB0wYO0jBezkzKaf6xPOUEakhAbT/3x+4ujd/cWIwjb CAg6e6IPGn7SiOXGNc8CFcc3GkcoTjQZT43Nuqzce+yiCGMVtgjLSDHCcNwx k3oiVplUZ31Qh8LQAy6GoUGUd6mURTVxcMfOPmZRLNGuxVIkbQ1Lh28/rY/I Us5h0hzNdJpBsKNtXqJQeiZ3MdUzI4pMGfAZi+5FW0KnG1wtC1tcnXXf7BIo htAdcU+ccQHhrs9OansPH74UDYcfkvSf8x6QDe3SHZc5s2usx3rpzwnm4h0o 7y1BVjgC9EYluReLdWQdy2WrObCtxpeeIUBFuX6LwRXXT7N3ALg6qsEAXHH4 jhVNJLU2FyH24DjtpHBtrnpdbmXjk49xE5xmEOV9BKiOQLSa1eUehR3cIDpm aB83TnCIGbJXm3T1xZTbOMnLJ21D01A3eM1PXoVZCZ1f6CvVfC12511AxqU1 RkXFgDFnBqYqYoJ7x4SS7dCndty4A3J1Q9GCLKOGK0CMTnmp8oznFyrm/OZ7 jSHrYbKJQYHttZMMLoqjxcVZuZvLfxkXLNFHUV/wNG5X/NCX4n1YHYdJSzcI 4gnHlbGlo/PiZNO6YB3+X2I0SACX0eAjjkcTasD/Mh0PFkAY52LmcU7gLuog 3WyMMNcRcvKRJcRuiFOcmULSDjg6+3+Fq4w/q8VGwAA/Lw31ISX8bGp2qRFP +KTkI9McgyQ/ekNOZyIJ2IQdMKqGOt+tlcC48u14Gm6obmA+48MppkjHIViY SxyJynEfWyqjQjg4mmCDwy6thPBh+YZkp6zwFTKkH1TC4dFhsFUFFUIt2X2H NMe8PXy54THlmGIKdgtbYeyrK9gdyqleoO2JCo/Ru0BCSuMnrxeT7wwkYXV5 ul3BtIcZRD1E5iijQBVGupgm50CMNMBkK1GsLmHZltOJvdeYVibXyoYDMOxm vWkAfZdWwgIg3zhZqLwoExUbFsaBhsTqJv5wZT9p66wtDcg4rUkskP03nCQW ER+sybxZx8ULgy0mAHok/p63AqAM4KPKitFAjhzUnSTNCDQ3qweoa5Kx1wFN Pp/JQgvADanlQHbs2ur44xyfd1vxFVrVSIdiTh+PB2g7apCUv07b4BgkGRod S85vgm7PJhYB2yB/u4lDLcYFeaDLX/UCsGgwM+6bZujlW5NA9FplS9q+iR8J pcIRNZYUuEcTrC1aInBhkYPzUmVcpi3pAUmKXOfOltA3TddtROBGYbsrvDxN AQRrqh2GXmk3N34C84y8NNu8XUQqCJ1EmKAM76xn4HSFY54rDJyPL5iKHe5L yQO1polBAoCMbBjSGGu8lNsYjfkGi1auP0gXy6eqxBQvBrBjC3R5bJ31q44r zuvyWVLEMrP/FCnyyPpMTIwUzUZ1bp0aMeTpnnIFefi4yg7t14Qox9JFyeMo S3XyjDOPT02XpVmMMo5smJp6mXhD62kkkcyklEuWhkZW73Rq5RoFwMjs7Yoh ZGH6ttaaG2G2VYjaTDEzYytLu0dXHBjnbf+GMf4vKJz6CDPw3dq0UTORspFp hyyu2LTAjzDaFwy9CmuJo1DU6NU5MHHA6RV0lBGSwHLi9qkzWe9IzNjtCPf0 ecRir3WbWPUZ62g2Qym1lGZOYNknFRSj517qwNuj4Ew7M4GBdbSbGrCdiw7+ VOE0Ro1H13UpYsTQFW3m64ohecTyBky0qyIEf6YwGjP2kgMBo2ZgYhvHkBMw wm8qjzWSgGD8cyIwuGEBAJvBxrUzdrANBb+hj+gSnQ5Uhf3VBQETHcMCVtEB 4LFaay1yX1bAjKHyhv0BzJvLaNu1UpBtkI2Qi9YPQa82WN3G+Yo/RBeuH46G EpyylilRNCiRVIY3qM/TRilBAqDpS2ffQMK7bhWNqIHkq0oOs+ojpJyDFwMg PXB0R4ZPDRjqejemjBNcKSAdXkrdaJk4bXiZrWxcceNVbpxklMtBrxXeyMtc /HAWIqn71FNPZRKHZ2qfhW/wiAqcOIGcgFjNSR+EjrzzyOXhbRxEUmaML2OP j6tCLzBkWCL0pLqcHWqj117Fz9U2qqb6X2oltmfAFpxMaD1swUeOQntshYHV +Sxie0hX8qtwD2B15Rgrjz5D2YTP+COBER95hToYnqu6LhN3nuGRtnhzo4Fn 0rpkyHg6sMSksg2ZHDgwi+bRvXzHQdqldM+RkH65k/7RNJLa38SkiR8WhRg9 g272XDhKRZdl2MbDi5xFdbBgZXEGGQKZWWIWL1EbGICjpw8Eo5CIy2VQg1+I 15o0sIBq9qBiMse7REr15nwJUosLUv6z9B7KGAd2HzO8bftw3uEGPo9hcZIR 4wEtCo+nFBRjp76xNPCPKF9wkhzSLyCwuuvHnBWA2BafG7ORPTZWyfKHN57e u9hylSV1xYEN/fK4INMdo8fjKYEo3njyYb/22uAtAuO1vXv3ZvxRhvXjZUpG WI2i/lppoIqHels+bGORlJf/eUvoyIcPznEClGY9a9pC8CAPn72IqRTABd1s 6PABXghAMbXNEHamtpB26PCVpiORMQ9ddQsrDl3BeqvtkrB3z1hro/IAzkoD iMdkFTM+TJaapG25SnFsI+2mx7MdwwZPNwaSf5Mn/pJTeUIEpDgTlqGLDiRk C1uqRdX8aa3UMXHX67vA6EEYNyvnjKF6pUbPHZ8Zk5ybxqkrHhHot5w+TX6E bMW5GiUcDv+wZkQCEtEm3liFV+CVqRqUTyu7eDb/es1oXudUqdVsu3MWbrEh Ti7MF422FdfF9BvWTiFoBo3bcuexkZew+lBNoF+l3hbRWFjd5plVFJF/pcTw vCHrsW5VtLJ0tAl8mdK1EekLH+eR83LT4V1PSqEMvlHWTFkCeSdjPW0JWren iep9K8rjXVhqmgvLJ+8COL7TE0ODGeM4OZqotr+mTnsTddQcg2U91JtTy7lD BGZxHjE6Yo1BUG8HewOQFBBlbMHwDg8um/K8BrR4seutUHWJWrWzkfVeu3QK F0wIb74yFbgr3dAcq+qee8frglVaXQuySeJEIDVM8LhWQsQhzz46IgtdoXv4 yt79Uc10UvPirouLUi6LGXqEeMcB8LH2g7bgEgkk092+FVSNgMn/kp8d8hFB N7A22VMD0a3+hpZl2WxqNFdG2HryvX1z2GoEnbVFXjXJjbPEqAu8HAuqbTD/ UhPNNn6Bm+ClSYtkc6cXSMGujmFBpI9Tbzi6X1xqkxraTDtOhFc4abw/akSN wSKre5v14CryR8RPAC6lsOYLNLRS6iHSZjn/N9eGUA8/nsMksVMXmKXeNiat ozFB8Cyls9UNu7adKhPOtyLPLqSqkHkdraE2yhrc3+KzF9J9YHH5tktcFpbr SqVjxxw/dSW/WUiEYldoGevLBzv8Urk8p04SGNSaUor4qV0PQ7e+bDs+8kMZ HshDBDDy8t3qxLxWbKeyombpEeQgp8w6JLOndCjmGJKhmN/m1NtOZUUrdChG OFtmPH7n1pFqH4QIgP1Km66aXENhKvqZe9LwFKHCKjV47HGHHmdukg8l+NLh 6jhsepIgFWGsbveVYZzlfNOi8+Cu0vB9RbszkRWLkrAaJV4Gb9raDUFCZXvl gGzHLArYuuc1XxiFacaX9g3MilQdyOJiBIc5LAqs0gogCCPjCNgwQziHSDHJ EY5Qs7xYrcPLYqkIr02LYODli5IBL1/BdiDhrYZ8Q+ZyCDc4jLkOtjguJWHF Bf0bla6YiGkBHKpR4WBaPY/WYlrODBNrFA+pFBMWLQBuVZl4Rt81CkEx7dPQ /sM76L+6e/msVuI1eV2dQ5Cbq9/i6792nM8dCL6jjfKByHWRHys/XYs2+p2O MV+irrdcw5wxdx9+x9zvJZBv4+P5fWDEJw9QH79e9MVfOcCn+yGTyYvrorSR 1MDHUgNr+YPLCHhvvv4GUpuwXQGXY6dy/Dz2/7N09Kr/AVG3ezM=\ \>"]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Maintaining Constant Response w.r.t. Signal ", "Subsubsection", CellChangeTimes->{{3.417837697475824*^9, 3.41783772834608*^9}}], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"PlotHomeostasisResponse", "[", "SignalAmplitude_", "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{"tEnd", "=", "50"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"SRule", "=", RowBox[{"S", "\[Rule]", RowBox[{"SignalAmplitude", "*", " ", RowBox[{"UnitStep", "[", RowBox[{"t", "-", "5"}], "]"}], "*", RowBox[{"(", RowBox[{"1", "-", RowBox[{"UnitStep", "[", RowBox[{"t", "-", "30"}], "]"}]}], ")"}]}]}]}], ";", "\[IndentingNewLine]", RowBox[{"AllParamRules", "=", RowBox[{"Join", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "3", "]"}], "\[Rule]", " ", RowBox[{"0.5", "*", "1000"}]}], ",", " ", RowBox[{ RowBox[{"k", "[", "4", "]"}], "\[Rule]", " ", RowBox[{"1", "*", "1000"}]}], ",", " ", RowBox[{ RowBox[{"J", "[", "3", "]"}], "\[Rule]", " ", "0.01"}], ",", " ", RowBox[{ RowBox[{"J", "[", "4", "]"}], "\[Rule]", " ", "0.01"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "0", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "\[Rule]", " ", "1"}]}], "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"HomeostasisTimeCourse", "=", RowBox[{ RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"Join", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"HomeostasisReact", "//", "interpret"}], "//", "First"}], ")"}], "/.", "AllParamRules"}], "/.", "SRule"}], "/.", RowBox[{"eT", "\[Rule]", " ", "1"}]}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"R", "[", "0", "]"}], "\[Equal]", "1"}], ",", " ", RowBox[{ RowBox[{"e", "[", "0", "]"}], "\[Equal]", "0"}], ",", " ", RowBox[{ RowBox[{"eP", "[", "0", "]"}], "\[Equal]", "1"}]}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "[", "t", "]"}], ",", RowBox[{"e", "[", "t", "]"}], ",", " ", RowBox[{"eP", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}]}], "]"}], "//", "Flatten"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"MapThread", "[", RowBox[{ RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{"#", "/.", "SRule"}], "/.", " ", "HomeostasisTimeCourse"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "tEnd"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "1.1"}], "}"}]}], "}"}]}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", "#3"}], ",", RowBox[{"Filling", "\[Rule]", " ", "#2"}], ",", RowBox[{"FillingStyle", "\[Rule]", " ", "Automatic"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"700", ",", "400"}], "}"}]}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"GridLines", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "50"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.2", ",", "Dashed"}], "}"}], ",", RowBox[{"{", RowBox[{"0.4", ",", RowBox[{"{", RowBox[{"Orange", ",", "Dashed", ",", "Thick"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6", ",", RowBox[{"{", RowBox[{"Orange", ",", "Dashed", ",", " ", "Thick"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8", ",", "Dashed"}], "}"}], ",", RowBox[{"{", RowBox[{"1.0", ",", "Dashed"}], "}"}]}], "}"}]}], "}"}]}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", " ", "Bold", ",", " ", "Large", ",", " ", "Brown"}], "]"}], ")"}]}]}], "]"}], " ", "&"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"S", "/", "3"}], ",", RowBox[{"e", "[", "t", "]"}], ",", RowBox[{"R", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Axis", ",", " ", "None", ",", " ", "None"}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Green"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}], ",", RowBox[{"{", RowBox[{"Thick", ",", "Blue"}], "}"}]}], " ", "}"}]}], "}"}]}], "]"}], "]"}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}], "\[IndentingNewLine]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417780674222792*^9, 3.417780753402973*^9}, { 3.417780819579303*^9, 3.417780819657826*^9}, {3.417780891844676*^9, 3.417780925106131*^9}, {3.417780959575122*^9, 3.417780964192166*^9}, { 3.417781009262038*^9, 3.417781043962753*^9}, {3.417781238614825*^9, 3.417781253884919*^9}, {3.41778130066476*^9, 3.417781346642832*^9}, { 3.417781644871825*^9, 3.417781754241764*^9}, {3.417781784883744*^9, 3.417781785092643*^9}, {3.417781844830846*^9, 3.417781845114703*^9}, { 3.417781981234476*^9, 3.417782043195957*^9}, {3.417783250203248*^9, 3.417783293105171*^9}, {3.417783586770027*^9, 3.417783631580256*^9}, { 3.417784137210513*^9, 3.417784204140886*^9}, {3.417784243178831*^9, 3.417784245518475*^9}, {3.417784312536227*^9, 3.417784314166247*^9}, { 3.41778438398136*^9, 3.417784437014865*^9}, {3.417784550130987*^9, 3.417784962902295*^9}, {3.417837562804253*^9, 3.417837564617073*^9}, { 3.41783760015029*^9, 3.417837601283031*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotHomeostasisResponse", "[", "0.2", "]"}]], "Input", CellChangeTimes->{{3.417781767765467*^9, 3.417781794055885*^9}, { 3.417781829960942*^9, 3.417781835071107*^9}, {3.41778200943048*^9, 3.417782009790174*^9}, {3.417783320062844*^9, 3.417783321641201*^9}, { 3.417783607677207*^9, 3.417783608329365*^9}, {3.417784286601013*^9, 3.417784287221247*^9}, {3.417784979164323*^9, 3.417784983276434*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJx9lHtMk2cUxuus4FIJN+m4jUtBoIyVchkipbZDKSAXwUFWcJ1GxBYoykUG ugIKww4nMNShRikMZFxGRIo4ZRQpy4p2MwgyNsCkwCZKgIAyQkOt7JJxzhf+ 2Jc0X355n/c5zznv99bx0LF9SW+QSKSCv3//vGnl+jqZXdtO0n/PHoVh1JRw nrPGD4383iQLSNw1DioP7mnYuxk4yXPFyMvIBDiSnvSCGrKVa/rv08aRD+Vl P/C3BGaZubeSC2yBhbrzVfV8B+Bjqmc+rZE04LMJBtv0YmfgxL5Pj3iJXICV hlYxqfFuwF6mpyqnj7sDH1hke0SJPYBrZD/aLpcyMF9ZwNjgPiZwVic7uirC C7hbXf+yZL83sChkhyKZ7wN8tdGrIzXFF/jLRcXp9Jz3gJ82Z38iyvQD/oF3 /nJh4XZg0t7RyfJT/sCr3Nsbak7sAJa+tRw5KA3A+SQk9i4XsYDHT/se5nwV CGx+4cpoydds4HoT9xN9V3fC+fRk2ge7fssBljnU2LJjucAKyQpJ9AjZMdzw ldOH7wPf6qd/MTKEfE71mukgCAK+kDWdcvAJssTCzpgWvwu4ib5JfXwc2eDP DVbKj3cDNzDb8mXPkOmHmqP0acHAY2F35XEzyIN1J9/lZPGAte0xgbSXyKt3 MjvOHA0BDmfygiVLyH0Cz+TUrFBgqV5dN6NDvnEzfXl1FVldMZbxXKiB+xHf 0rrq5G4G66SCDJ8FDhXm/2RgoqnRDucvVzofyHHC+Vv/WvVwSY/+DwKK7s4K +8FfMzd0ptnGFNZz5ewgq3E8X49kV3G1Bv2jU27dWXiFfo9TzuZW+ZsDc18U m/oLUP/HLunkymvU3z83GLokvAf1a8uE6rSLeL9VtallAz1Y/3lXY2a7Av1m 2zmMo4T6lZS3uw624XzKJtoFC2zUF5Sa8XMJ9Qf49tYzOvQ3US/7jt7D/GEr OnEe4TxUzAyhgagV8pI1THF/NCHvkelsRQvW6+RvmvYg5NPunxL0pmG+jhF1 UQQD9RHev5ltJ+SL6XSxVcxjvkxr5TBLgvmo1UrXQEK+jWptP9kY/bquFV76 wAT/HyVxfvJugl6Ze+O6m6ga+vGVWrBJntjP7e9LcoKuo5/DOyLeFkI/buSf GIvh2M/9uOHKky6obyez0qmEfmp76xvECZg/L8O52IaQh8oj/+5tiPs1juaH myZQP+l6xVhG0C9EznUNU1GfPxDWG7IN+7UoehyrIei/20y3TxOVQ78RY9J6 SzvslzEVryXXoF/sRaslHeF+cvnsSxQW9jto/lFNBQ31U2mzdgaEfjuplibF YZj/5ugvPhRCHs+G8adbybhfm138s/IR4Xwr9nSXEvQrlCzVnBnqQ2c/29hP WN/yef6IDQXXdyfmiVrmCfOzon0z/z/119+H9d/Per+19fX71/gvT63vGQ== "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{88, 126, 127, 74, 84, 60, 68, 30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 54, 6, 103}}, VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[{1, 105, 90, 77, 66, 58, 52, 2, 3, 4, 5, 106, 91, 78, 67, 59, 53, 109, 94, 81, 71, 63, 112, 97, 85, 75, 115, 100, 120}], LineBox[{88, 103, 6, 54, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 68, 60, 84, 74}], LineBox[{114, 99, 119, 87, 117, 102, 55, 110, 95, 82, 72, 64, 31, 107, 92, 79, 69, 61, 56, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 108, 93, 80, 70, 62, 57, 111, 96, 83, 73, 65, 113, 98, 86, 76, 116, 101, 89, 118, 104, 121, 51}]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], LineBox[{123, 122}], LineBox[{125, 124}]}}, {{}, {}, {}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl1nc8V+8XAHBlFpW9s33sWTTwOQcpJFEqo1KpSIqMQkQfKyN7rxTJ3vsT oih9kZAGlVRGEckIxe9++v1z7+v9Os9zn3POfV73PuJnnA+dW09HR6dFXGh3 iai/2Zki5eRHShT/00EAtSxyopccokA1oE0yiiMQWjxLcmQd7gCV1CzHwh4I cZpfjm+KfAA5d8Jv3twcCO2qV+yZHEohXUoRVtgCwYdnrW4tqxKO5Dw+6MEa CImxBuQ/t2uBcfl1xfSGQHgW0Ws4b98MRpXsoV+ZAmEmkG3Ms6AFUpnYl04x BoLv41K5xazHIH8t79EQPTEfF0p+3X4Kysejj76iC4SO3QH1k/YvYOzWn6zn ywFQqM11Q6O0B/ZH8fQYLgXAz8Gzd9wLXsLZ2PvHni4GwA1BlpHZrD6QoNN0 apsLgKQkU/vp269BJuxbUtuPAHgeM3hl3P4jfO0flx4YCYBbyYkdcWrD0Dmf WGP1KQAUHcB6W+kwMPzUT3//MQBcmWOuuxZ8guJJEYfRoQBYNdjeNJP1GSJr DVj+DAQA/2Nv/anbYxCr6LZpx38BYNzIbDpqPw0S2cfOfK8MALW1M/O8M9Pw +lm4gXVFAESI2XZLas/A1ZZ3IR1lAeB+psHD4skMbPveIptfHAB7Rl2eVPf/ BCm2wx+dHgTAyNT7057zv0Dd7zAnU1oAiP2tTf+r+Rs0vdq5b1ACoGuT5gaG E3S4ImD80PdQAOhFGTx6cJAFg2q9upz/UMDfuCq/9zILCkl775JZoUATo2Tc 39ssaCm1efzDEgV2+9CdP9zJgrxuYWwHFymw7QKVdc1wA76KZnZRn6WAlL7a saN6G9F3d0kY4zgFmBaFfzBosKFyVmPSUB8F9lSEv1axYEN1udOK6b0UoFxa fmTtxobFO4bpjr+kwOrn13Fl5Wwo3sd6YaibAos9sbuOK2/CyuAj24Y7KDBe wBJUKbMZQ5JLU341U+CcyvImtU3sePSvk55REQVMBkPu84uwIz1Lm/JCAQW2 h/Do0Kmwo5qxhl12PgUYPqo6vTBjx+yOL9mruRS4F2n//FI8O84xKN6su0uB j1P9wQVCHDjzXTB2VxIF2lPOiMQqcuCGAxK/viVQoMRgptpLhwM1Hn1MTY+n wI0M1q+GthyYU7CxiS6WAsIH9PTH7nHgR9V1Zp0RFLAqKl2TlOfE1o1XQ10o FEBLnSRWLU7sKvIxJN2kgCzDf8q/9nOidbKLyZAfBX7bjJ5ovcSJ/QIlEka+ FEhk3frwVDkn7rE/xUjyJNarLThs2EqMXygff3+VqN9u53eVPk7Mc2RjT/Qg 6qUeFlyb40TL94/lmd0o0OcY5pmxkwvZbeOjJy9RoIGXnz3IiAufGqXG5ToR 9bfef+BkzYW7rfe8O3WRAq6CLQNaPlzYfUZafcCBAtbtppclb3OhXKKifow9 BXRdhxhZM7mw+pxnksl5CrA/X9z+rpkLO9TsNzyxI/L3COps6eHCTYKpJP8z RD/Fuc7mf+LCW8ddgrVPE/3sylqJnuXCQX92uSVbop9eynGe9Nx4/YF3duVZ ol7ph/KnuLkxj77o92aiPzdeGrXuk+bGHfqTXx5kUOCA3LmfvPu4sdRk4FDC awosh3tQ3x/lxkXfCPE5Yv/l/QgKyjnPjf2vqvnCNwcAQ1WugHowN1oLvh62 2xsADeRx3QNt3HjY8fdgb10AkCwuxgbo8+CNkgAD7fxA6K+5ftz4MA8yXhA9 5vQsEG4KRJA47HgwcM+PoI9jgTD0oaghk8KDeFNTIVYmCOIu/Bipb+HBndWx PFAQBHR+V7bNAC9aC/SdvNoYDCWfbv6tOciLXiV6RlqfgsFmT+xTX1telHa4 ymHOGAI1GyptWP14sYpuvaybaQg4xc8FkJp4MfAb0+XiLyHwNv9a/3FtPpSP kK36Lh4KFf2+Hh07+ZGRWTDtz1g45AWdPTNixI+XiodTxYUjIFNz/8EVa378 zdNR1m8WAWHJ/HJKvvy4pmbGMkWNALvjlUPRLfwYlCHbJ5VyG7i/jOtbGgsg 63O3irwrUbAx4YXqFRsB9PMczWgojQK6vTVbw5wE0JsxctHvRxRMPghYpEYK 4HKggAn/jmhouyhSKNongIXM/r+0qNFw9ddhzjEbQZzQqVx3byAGnHJ2r605 CeJkr6X20koMnDkiPsl/QxDv/y5TfyweC6a1P9qMswTxUcTavZrLsSBzPdSr 5IsgnhvfFG22OQ7erG8e9rgkhONnq8i85+Ohu/J+V+QNIQy3/DYWHBcPT85G NDyIEkLVGZ/q8JZ4KG+3in9bLoRVX7j22YgmQFjY3D6dBSEUTuN1txpJAC1O +VIGP2HMqT3+XflWEnSvs+7oihLGF4NW5nzNSXDqZ+jnxCxhZCw6Y1y/kASB PRN8cq3CuBpLkdR0SIbuyHz/A4xb0Wj0MtXRIgVOscodSgzfik/e2VcXWKTB 7LKlk236VqQoSjZUJqdB4LdbwbLFW1GHPWih6H0a5HeMNzR0b8WMSecDfo7p MBuSJ/mRQwTTsreac0ZnQCCD7LxMsgieF6qj38ecBbxzx7b8zBMhvidS6Y/U siDvc4hcQ70I/nxZ+qrveBZ0tY6dMBkUwfLnd4deVBHjbz5odxERxeZf+RYn nO5C/l9Scn2OKHI4X1DrWLkH2lNHKyjVoliUZdMyoZoN3UPBnfvbRbGKff/V p+ezYZY6SvdhTBRderz+a+3PBhGdvu03ecTwcldCwEx9DtivxGbctxTDTz5P v+QU5EK86eRjr1NimKcj27EylguP7hp8O+Aghs9M7kmykR4Av+FvzYVrYtiU PbnxeM4DeBZ/omdvkhj+NzUg0ZKfB3LKsvTjr8TwUNIuDt3XBfD9VKOD/GFx 1LtWmfqstBT4q3ijVq3F8Ubst4IpujLYw+xS3XtGHNde3fklL18G6cUS66+7 iuPZ+ELvbb5lYLIckvZfjDgevFO4wildDsVxh7qdesRRyXhD8THPCnBuH9tW ekACPYaTH7/YWA2PsOii4lEJtKb2u09vrwZ2qkt2/kkJbPMubUo7WQ1lpUuc Oc4SOPEZ9APLqmE2mXU2OUYCq5rdRjeY1oAeV48cb6oEnpUJz1znXgNxt+NP x92TwOP5ZoOnUmpgO2Xry9uVEnit2bl130gNXL2oUkZ5JYFuhe/c7J1qof3r r7G19xJYb81AMSLOQXyn6kR9RyVw34tZer/iWqiz0I26tiiB9+h4rg1/r4Ul ncOXnQQksWLgaIrLqTowruPLnRCXxO0VgXs+Xq+DVPWh9+flJVFAtnjxTmId 7JY5d+C0liTetKnwEnpeBz7s1xSPnpDEKdOOWjG5eugM0zrbd04SB/enH98D 9bCVkS7d7LIkRpg2ZLdb1EPT0i3W/X6SGIVh7jO+9bDZ/YD+sxBJZJMx+ZEe Uw+2PziuG0RL4uKWmPHynHqg+5z6De5KovEm7mNiHfVgdsJWojFfEne8uHPF 71093H0tab27QhKFOv2OH/peD3qdRR3bH0viwkS/ny1rAwRUN+XJfZXErbeM ZZwMGqBfJWA4d0oSGex22jYdagCpgn38UguS6MF0+Vm6bQM8yewJEWGWwjvN 0bYbPRuAWyChOW2LFO5j08y6E9AA5+KsFvn5pXD0Db1qV2QDMN0aOc8lJ4V2 K62sf7Mb4Oj6B5nRalKo5lenzljSAA98Lg5s2i2F154fI5fXNoDhlTkDlv1S SDe4iUT3vAHCrJmk/zpJ4TuXyYkn3xqArMq2MOEuhc9q7kRQfzbAT0bOpwM+ Ujj81lHS/XcDWJZvvVAWIYU9rppP1BmpwBoiuTsjXgrtGzpDtFmp0HRcjjUs nciH4VLpFg4qSLNoFNsVSaHtnFYhvzAV3rzffcOsSgq3MJ6/ZC5OhYhKPKjz UAr7HrWx2pCoMHvS5CdvpxRK5sju+6pChUfVdhrPv0th76dTQn+RCu7hF5hq f0lhgnG0z6c9VJA57fw6e0UKpwdjb941pEIk23UvX1ZpTPp58lL9QSrojvgb O3JJ4wOnoBquw1SYqw0WOiYkjU/yDzmaHqWCjV1so6qCNOpM9nhfOE6FzbuS I7duk0btveeW9ttSoXVzpu1GLWls6RSU4jpDBdmG/HVfjKWxx5pl/2F7Kiyw txgkOUpjdqDspioXKhSMtvMGukrj41YrvVeuVDjxsHPMxVsaNV5ybhpxp8IT +zehxmHS+Gox+liLJxWu6Xyw3hErjSMpGZDgTQV5ri8KUqnS+LN2c/wxHyrE NE13/c2XRuOHLUwFflTYEz+f+a1cGqeuOp/UukmF3xdWnF/XS2O3JOPtRgoV TvIwc5Z3SKMe72pDYhAVFJ1Ejp6dkMby28uFBWFUGNaVkjH/KY0hMxNnXoZT IY5P/rfOkjQW95xYNxVBheVWjVS+DSSc/ki+yhBFhZJkrYsMHCRcOMz2hy6a Cqcv62r/5Cch2ePcyC/CzwQOfHguS0IbNSuTplgq+EwfKq1VJeHZnBjnxDgq qLRZ+ufsJGEYfar1+XgqJLqclbhhSMKGlsDuHwlUsHt6/byaAwkjmj615ydT 4aw2yXTBmYSeuRpbDFKocL68R4N6jYRl2ka+7wg7pEkzGoSQUEiU8+NcKhUc 2XsmN0SRsOVjxDbvNCpcDPLu704k4UTUZNAy4cvOL7Itc0kY29E8OplOBZcv XuFbS0j4g5n+gG0GFa5YSbmNVJNw94+vJ7oIu+t76Tm1kdCKa1w+I5MK3nyS n/y+kDDqz10O9iyivoiuZ3smSfjZSNzwLGHfdZ5lG+ZImNx55Eg1Yf/vnX5x 9DLItiPSzPQuFSinrtlbssrgjIGbVyLhgFfiB7dyyaC0zfLUIOHg5qsiDyRk kDLUpGR7jwq3toszOcnLYPFQqXgG4dD8/6ZU1WVQ/Qxf0xvCEXFijQ26Miim 8UvPKJsKsfbPbbpPySCVqjnDkUOF+CF3/TgHGZQIsw4AwgnmogqWLjLolqZ/ 4iLhZC335U9+Mih0ilGgiXBqmchIbogMDtq0Cn4lnCbd0XExSgZFsfr+xvtU yNwikjKfKYN6b+XumhPOCnzm35Arg14BKjJuhO8uuTr4lcgg3+90+zjCOZ+f 7tjQRKxf67ijh3BB7ZUB4fdEXL85RzuXCkWKwk2fvsjgenUT0yOEi++238+d lMHO4gNMlwiXhQt5qP4h+kH8fFIIV9C1H5+nl8Wxpg3/lRCu9HDZ08Aqi+9Y mbkfE66xbePaIySLiR1TJycI1/U7r7BIyuLGaCvXFcL1RoKfu+RlMT0j7hXb Ayo83OZccWy3LO5fVS1SItzCLGB+0UoW1wVrgAPh0Wxl47enZdHykfP9q4TZ cI/+PkdZ9Hf+fCWQsKWns4bkdVl8ZL75dCbhG9xByjEBstjeS4osIJxTliqz Fi6Lfe/bdtcQnh5vExhMl8WiAgflTsLcQYOcRvdlMUeew2eA8G7xn6y1xbLI dsX35DDhYCvh1dgmYr3PXPOzhLc+dx0xHpZFt2vSDVx5VNA7f2uwblwWKzyj BIQIO6zP7Cf9lMVNhQwqEoSrdne0r18vh0Vm5BAVwu8GPjS7bJTDyP9edGkQ pnObq/vAKYex1B19WoT3F4oWNkjKoaPwU4l9hF32aeTIKsqhlEb4FRPCiZ+N MxK3y+HSz/xgc8IjQlejXA3k0I26xGxD2Cui003eXg6/drxovUg4U3bEKdlZ DhVICknOhJ88WTzH5CmHOLTX2I0w+18Jy5FbcphAygJvwpopO83NYuQwMZt6 2ZfwcQ1T46YUOfwRqe/jT/jBJS/t1AI5/FZTsSuYcOeGKA2WSjkMZdacukV4 9n6O8lWqHH7eWBgYTpj84YXYoU453MhlcS6a8CtTEuPGH3KoU+bBnkJ4+ZvW 6rUFOdzS3bMujbBYiPni11U51Pv+bSSdsFOzz0TLFnkMW2W9mEU41iZ2RIVf Hj3i+jfdI1y3+GAwQ0weq1Ku3c0mTK/a1+WlJo9SG3nu5BKW7RxvH9slj2OX ohnyCJs6rDYf0ZPHzKvVR/MJp2bJVagdlseWlNTuQsKPtKHwjo08lt+lLhQR Hn1jkbPprDyaO1zjLCGsxuGfOOEujwv+6jJlhBtYXss+9ZHHvoOr7OW0/UCn TM0JlMf1J/hnabaYHvxoGy+Piw940isJD42qu+qky+PLH3V2VYTPfQhlEMqR R9fgefFqwle7dsgNVMojy/BEUA3htSeR1EqqPP7V8VKqJXzr4dcDMY/lsUHK /AXNKYVxriZ98hjyJJSxnvDD0Glq66w8gn++CpWwwc29plnL8tjMrlJIc7dn xrDvegUM0ZaQeEj4o/1+xl2cCqhXuIuxkbZ/be8l8Qoq4AaHp640zxxdkpsT VyDON9pDNK/f+8C0VE0BA4Yqs5oIh+usDkfsUsAzN+L/0MytccTNUVcB66DL opmwtBR9srS5AjIB4x+aDdfbfkpzUcBWsy75FsIvl6rdvDwVUNyv+zLN1j/Z mI75K6AuH2sZzReHG+Q5oxWws1xNoZXw3GuOxukkBWw2TjlHs88Lh4NddxTQ 8fyOTJojm3jdb5Uq4B+TJyyPCfPVXGI6X6uAlg8CdtOcVfwkWb9ZAXsvbHWk uTzdtXG1WwFPxvg+prnfu5vJ44cCnjtEtntC+ISrdMqhBQX8TSd0i+bRCz4K qqsK+IHbs5DmRUt5s++bFLE80mqKZn+zmyPPeBQRkoXZ2gizGL5xz92qiOZJ CXI0C+4ITjmtpIjajaTTNN9Tfq8AGopYG+J7nWYF0vYmYR1FnI9kTqBZm2dk 5LWJIn7bRWqn2faXjqKpkyLqrVwXbifMxknX0++uiLrl+9RoblBtdbPxVUQx JXUDmrkv76U6RCpiotBHR5pbIlhspxMVsenURx+aLxc+X3/1jiKWsXpH0vxs 3NQ4oEwRVQw8S2n2YOb4saFeEW+cLGmiWYLUFxPdooiR0tJdNPvYHXub0auI gl2y4zSrfrB1qJtTxA9T/fxPCb//I84GfxVx7DiPFM1hQl9K2xiV0CKmRJnm L5YOi728Spj/eKsezTHX5NOsRJVw5yrbfprJiZPkYRkl9LoWcpjm5D6X4Kmd Smh7x8yOZoNZdXl3XSUsCKtzpHmWfb5r2UgJ55U+XKHZxNSLh8VGCQd4Evxo XnLSqo+0U0LuJAimOTf873EeJyXMNHoXQTNdx80cCV8lVJjxS6HZmolpUiVS Ccc043JortIP26ZzRwmD7C1KaN58c/N14zIl/CbBXkuzQ1Ns67EWJVzawNVM c+sK78ZzvUqY1JjfTrPwrjRz189KmPtBrJvmq1dFU/zmlDCMI+oVzT2V2cMR jMp4wEN0iOZA5SLnBzLKuF3k1yjNO/OrVluMlBHfzU3TPCnZeHvoojJKD6X8 pjkrs0148bYy3kZWumeEPSNXpid7lLFM//1Gms1vqD0e4VLBWEc2bprlL9sn vjmqglp6tYI0rz+ZcaE7RQXb9ziL0vwuk4Hl/RZVVLYmkWiuiNw92HtIFa0S y+RojpV6yFP3QhV/PSxToNmtQccsw0QN21I7pWlObr1yl6tfDb1P+P57XtPz +7OhNurYNRElRTNX6PTrpbfqaLjR7J8d9u1qvGC5Dbcujov8y8dTo97x0zbU kUiQpDktT636ouN29Hj0TZZm3u5rQj9mtuOGA/r/HP2r8abLNQ30cc/7l9/u FwI+k3MaWPW6519+Xws8rjq4aqLXZIwizf2/A0I8ljWxnEPlnx/vjU2mUHbg z5db/3nEuEYndN1OXLxO/We6g+9Govx3YlDjTaV/NjSc5fu7EzXzf/3zGtas y/Lahblbsv5Zv2hApp5uN/KcIv+bH8K3eKA3ZDdWB9/6l8/KTiWWr4xaeP+6 zz87W9u1LgZo4canD/9Z9sf+uDQ2bTS5v/7f/OGb289CgjZasU/9i3tvtL9z VkgHv51r+WeuuJR3oXd1sG2m9J/b712MfPlIB91PF/+zZ4WOnsCwDmYvFv6z eQNJuHFaB5nb/2/51i0Lp9Z0MKP8/xZjCJs0oiej/8lFvZ71RL/3MnxWZyZj ZcOzk1ViDcB268ZbIVYyKm1jtLA7XA/0z3+/YNhCRhWVxGCG5DpYZnVrn+Ik o6TWtw8Ck7Uwc2Dq4QAvGXdkTzxNO1ALQy8/5eeJkFGdcSrdR70GermOZ8VI kHHzsqXH/spqeHZkINGbRMba0/5lJtrVUP32eYCJMhmP5HnfzrKrgiIhA28N dTK2jhx8lUhXBfdONLuIaJKRoqlt8/deJUR+qjwxo0NGe3QZ016ogEBJZYu3 umS0eJacapRbAd7n8oxbDcjE/+HPOznrCrCfSN8Rf4CMtwtHE3Q6y+GkAp+y rzkZD5acM5wJLQeLSzFS54+Q0eRbG5ObcTngzyCOnSeIfEk1zDJ9ZaC5jY5F /DQZg8KpsevTykDRw3t1wzkyFh+zvbfuXBkILF3+PuhE1HuLpfK/v6XArjXx 6YkLGcVz/IpFMkqBydfuTbE7Gf3udbh1QCnM0lm2+fmQ8fUUGl2ILIFxvV6q gz8ZPxxdzGXZXQIfA00qzAPJyETh+Hp4vBg6WXTvSEaQ8a+B2eAZk2K4zy7v 9TSNjLwnUu35VIpAedTqN0MWGRcCxl6ojBVCDTX0ml4OGRN79o/Y3S2E9vMT Ho1FZMwbNpWsFSqE8Yd5rpWNZDwj+vlYpnQBuMS++TnTQkYfgUZTrsl8WLJn uaLcTrxvmU0xfyvzYSOXg3N+Nxn3lCX6ze3LB8ULMk53PpIxu5SLbvpGHlSR j30f+kxGQa1M9dCDeaDDHeIoOE7GWzKs29TF88C0edQhYYaMzC1a3qFPH4Az T+658HWAPZv7hI6IPoCKFinba5KAXib9Ml/n7sPuJIsPVTKATeWN5sW99+Gx U+CJWQXAxnxhJ67y+9DP98Xm0nbAeO2Ctlzn+7BwKdvSzgDwmSjDH9dfOXBD v+91lhFg74i5e/mrHGAWoD/24QAgtyn/zkt1OcD/5MwRq6OAg7qt5IN+ObBL UOLQQXvAt1NpOec4c6B12vxlxEXAkPlskubvbDBuu2n23BlwkRTA4/QhG6xd PpkaeAI+9RFfv1qYDT7tWfu1QgGzm11LPPdnwyNXUQOZQkDSxJGR5ZR7sDw/ HS1cCmhzpnXYN/gebPd6NMRRCVh+/E6Mjts9yPM77f6nAbC7+KDZ5QP3IDoi O/vlc8Bh5vkpd4Z7YJsrs97nGyAHkyqnss9dSJb7feDKD8DYOiPOlYt3obfo Wcr5WcAgTf2GOZu7sLfygpr5MqBgW/kPR+27wDd8RJWLETF8/c2iA2tZsDaZ ZDvOjehI3x52KCIL0pX9GT/zIroVKbyNv5EFO10cCt/zI0Y2FPMtuWSB66+d i73CiM0dDSTpo1kwuvQ2slEKsS0wt2xVPAu6mYSbYrcj/k6OOhp34w5kimUJ 61ggqvzIYukQzITNYWrPlI4i+tfrsPgyZYLfr1Y3EUtEjtBvDVazGXCq/evz NRtEepcOzfDnGSDhpODVaodY5toS2uKTAbm1Na/2uSHelE3p3TKeDiWmXZGH Yol4f9Y23ddpIFJ3crd+PJFPdrmn6tM0iBKf+botEZFlh46LVm0auMxx6vCk Inqd7jTMTkoD9VTL76/vItZ+vNhcbpUGNV8/7ztRjqhtkfgibCQVGn2W6Rx6 EJezXktcYEyFhdLRGUov4qDdcoziYgqofu4dzuhHbDi8uo15IgVyjAof9b1B fLzOLXVdVwqE8R73h0+IEr3pT9cnpsDRssY13llEPst3lxkUU2D6s/9qG5cu nvJcaUo5nwyyfJd+DPPo4qvrnGqD1slwxtjqwwqfLjqUtgYrHUyGgTK1JjVh XUz3eEJm2JkMD31HfDOkdDH093yYx8ZkuMW356+7hi6qPz41v7ciCcT3M/+R PKaL72V4OGrZkmD7K/1eQStd9F5QNfWiT4K9tv55HDa66NzzPXPvciI4ui1Z rJ3UxZ2J3KT144lQlfa9+N15XYyLcXVefpwIeydf2MZc1UX2WM2M977E+NvJ j1cTdNFqPoh+4ncC+PC9SplP0sU+QS/9sZkEiLzL4TKZoou1huzwYzwBKqvD hN9l6KLJZIEk79sE+PPex6P6vi62mr7577/6BIhSPi3jVK2L1JQBwxafBKh6 IRf+tp9Y3y6y14slAaIlW+4vD+jiRQmMGKJLgIvXLB8JvdVFUTGl0H1L8SAh GjJ/4r0u8gpeWKf5LR6iLn+xHfmqi47JeNStMx4cN93Z/n1BFzUs1TzsYuNB bD/3hz/8emgm1a/YJBkPEe2rqmIn9HBh1qpg2CoO8Mqo2lZbPRy1cfA4ahEH c0Ld6oKn9fDvbde1HtM4OH4lYzv3OT0cO7Fbs18/DpSEtXeyXNLDS5OlHpzK cdB9xQtmfPTwzDTLbQf6OGDfOnfgUboelrNKWpuVx0Kc24TjqSE9HNIOUxji jwXBvd5XDn/QQ4U5wXRH7li4x8/quXdYD+cGLpj/2RILFY2KQYpf9LB1801v OeZY6GF2ufP7ux6Wnaw2L5iPgc3pC33RK3po6f3ynl5fDNx6Qq/TIqiP95Xu BFRFx4APj8gWCSt9fC1gmvyZKwby5Rifuw/r4zEVP9vD0tHANLdOoOXkHhRt dxrQ6YqEB6rlNzLH9uDJe48dlM/fBrkzBaZ/LxmgCUdX4FW1CBg0qq848t0A RWYqGveohUNvtrcSuO3FJeMCUfGdYfC70lxbYnYvHqzJCpA5Hwprda7VwZf3 oVBdZvjhgluwX3Wvgc/8Ppz+M5P7aToEnp5QuXDRzRBvxa1LpTcLgZC/z7O/ rxjitk/iK1vLgsEiXmB+hfBaZG8WK2ExBYe9bH8MMbq9dO9SaTA0WDJOKBLm 65mO7Sc8WQnKlwm77wxWCids5lhVN0N4jcp68XdJMAi+zuia/2uIVtfdmfuK g2H00qQI06ohii5XVTwiXMmg5cJL2OO7+MkSwibqbzh3EP4lcbM6lLDfbU5L T8LveyzOI+Ev+iEjy4S5gs16iouCoezdq22sa4a4NHDsRhph3ytSQUKEByLD FUMJ895pkdEmnKDqGXqWsNHyipMvLS5z3kCIFo8xbrpNeFt6zxwL4RGZlC2Z hJuu2OcsFAaDzxHNiibCzjqCDL2EDScD6V8QllbXrGomzBPQZ/GRsGjQjbPF hEcEJHKnCd/X+MWdRrikzGVxjfCaXnzbLcL/AyzmoKA= "]]}}, {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwl13k0VV8UB3AJkQZTCBnePEgUGcLZmYeiUVJCKTKUSIbMkoQIPxkiStEs SjJGUSlRSWXKe8YiXhJp8jtXf931WXefdff+nrPOWldl7+Et+/n5+PjuzuPj I56kpD+XchXvGHZTxbF46L4wU8nbPQm1LBmzyMGuC7xVwHC/gJqdvrTqzeOh RvUjbkLut5Ht1JVH/vw89DThtcV3t1okoXFx+YgADz3Ti34w6taC1g5eiX8j wkNNZzuPDLt9RL5ilWnZkjxkVb3AZtBtHFn7mjcI03moefFaEQFHPvgqYu6a uImHjJJMHxbaCsN3Tff/so/xUITV3auvDwnDE7G9EasCeKhGkJz6J1EYusp2 uzzC1gvhO7D1hTA06DsKjgTy0JqDlaKzFiJgpfrsre5xHqIYa+ywM1oI/kH6 WW/DeUhoWmFMQGsR6J7NqxaM4yGTkvh3q7YtgtDz8V4Z2FHePx86+C2Cp7T7 4uzTPPS3711q8Z1F0Or/3nBTPA9Nt6bo7lZbDFOsSEpWIg8NXxOOKaUvAam3 W5RUU3ho/6qfizUWi4Fs7u9ui2we2tAZe1lWUQySql/eGMTWjF1mwLdKDKKj fHxOnOchgY/qXi2bxMC8aWV7bQ4PXTzj1uSdJgZS4x3ya/N46OOXtpPX5MVh 6XfjFOXLOP/MvYopquKw8JXe7WrsW6a8e0EG4jBpRq5zuMJDYTmiAxZO4nDf 6c2jtEIeUthoZDx0URye9fwwEb7GQztv3J4lsyTgCSdH58stHgJ7g3Oi6yTA NmrgctxtHmIIPFf7Zi0B63UthGnFPPRj16BjvbcERFgevLHnDg+li66ocr4j AShxr29LKf7e/WtbLeol4FPw81Oed/H8+3RGVr2RAF0D17QF9/C8lVvlZicl oF2IHY/KeOiNx+nAHB1JsJ3PmL5VzkMV0rJiMZaS4LFi7X2rB3j++suFXg6S sHgq0msQ21eurn1diCSoyXSVrajkIYdGm0PkRElonRmzfoC93rdLUDRXElCL Rfu2Kh4Sa5rW7KiVBCnPjqb4aty/f8yLulZJSNwlrUWvwXmqSLpe5UjC90f5 afXYjc15v5InJGGsO+yTYy3OM0gtNXC+FPyWyLAVx+vTqVUsZykpCJEzlErE +YS9sqw3p0qB4vm96ssu8tBG5v6v0uZS8F41abNVLA/9jPev7LaTAk/NfbEd wTxUNBYTU3BACpK+sF38D+H9vntl+eqTUrBYcGqgaTue33B4/cYGKZhpkw+b pPAQbZtnSrTxMiCnTJ8PPD2O+MKPrOEhaRC39Dw5JDeGbnEi/5TZSoMDY8nT DIExtMsk5UmokzRcWA2vHMe+oDKR0l2i4dJAp8eKkeu/IK+0yWhajTS8tq4i ZXp8QR+uBrTt1peBls3dr1i1o6ikLdT/mY4skEE5+9KxEVQU47qXaykLQffk PcRdRlDuWmvbXw6yYHr9g9J/1iPodIYsc2WoLHSSIpV6lEfQvt2lXcl1snA7 bGuY/4vPSKp/2NjeajlUiIz6l9A/o2PftkoM7ZIDTjAlfO3YMPIq0Jud9ZKD Bl6VzNbOYbR3u8qobJgcrPVLfXXi6TCyuT/WYJUnB4mOCbn0S8OIfjwu6Fa/ HATrR7p67BxG7/lre/295UFRz/1B37MhtE6CdVsgXAG+Oyq33KwYRC/nOTxr TlIACmd7dsW1QeT8Na4vPU8B0gqz5nVlDaITrZ9kmPUKkKNk9WD3cVx/5mrE RsEVUHOGcdfOANeLMrekx68AO+oLQ62GAXRCgPGdnqEIrcVZ+6f6+5H05I6l X4sUAelk+t9414+K+mKZFQ8UIU4/tzOwqR811w85buhUhAbTmdltxbg+srDR R1EJ5t24yF4R2o+u/qFlPChQgkevbQf45fuR26+UnMv2yvBn6RU04t6H0mxG HwU5K0NN6xGpTU596GG+6eeN7soQ/3Mw9Pn2PiRr8WPtVIAyRBzYECdk3Iee pjm2mp1ThntpMxuTFfsQU40xf/itMgQavLm/sIOL7CIjmVXdyrCUcefGwCsu imrrsE0eUAaZYCvO+2dc1BGceF7nuzKQUj/sF67gotNPJrTipFTgNFXd4Ew2 F404V7uztqqAUoOjpOk+LpK9K53010EFbl9TEb65m4tMFvjce71XBWQEjQzU 7Ljo/E0S/3FfFTC1NTweYslFG37GZj8/qwID2wd2W2hwUeBGTt2FTBWQZW4I CmZzUUGe3rBfvgpoRUw+baBy0W+zL5oKd1SAck6vrVCOi26mbnnp1aoCDJ3N fecEcb+D1yfhPV5/WGr8LB8XCekJyi/rVYGddSKZBb84aE/vfbfqcRUIyDho KznBQUtWrpi3ZCkJGhghwRK9HKQXcYzOlSYBqT+osrmTgw68adlYpkiCRYfN vPLecVBNUFTWHjUSCHeV7Ixv4aDDjUNrbm8kwbbUx1FHHnLQQ7jhqWpHAppk QUZ6FQeJVfpcurqHBFWGCZS35RxUfHtGouAwCVwWJlnn3OGgiQzRiYyzJPj4 UEJoUwEHGUm2MqWzSGDF0xLXzueg1MQ0l9SLJOhBjsWauRykGbXiVWIpCeoX Ssn4ZnDQMc9VxVFvScDivlv5OZGDGge+Dc12k8B/XCkmOJ6DZJzLlUIHSRBe u2iVYhwHlW9bnxQwTYJc78n6nBMcJNwi+GRylgR8s20tgVEcZG/Z9PeIMBlS /8wE7Y/goBmDrYe8lpOhwnR2+kgIB1mVy1z5pEKG7KO935ODOShrdVf3ARYZ XFYwBmoDcX70/Rtd1pHB5tv8b9b+HBQiFqBq50iGWMtHkeKHOejF6XWub/aT oUm1qrLAm4NWCPKd33SIDLR+2QoTL5zvzClR63AySMZMnrx6EO/P0Y3GT2PJ UPDybpa3Owc5jYkfN00mQ4Ly8z/6bhzE15f1GeWT4Zlfv81vVw7a5OhEqr5K hpgj85JH9nFQ/juyg14JGe7a5jX278X5vrjxTPMRGUKf+rz85sxB0fdqipgD ZFDLjnly3JGD2lZF9175QobuPQvpJbs5iHLNXJYyRQaDtFFl3i4OepzbGqu4 gAJb80U7Ih04SGr5f7XZSykgYsGRfbuTg/an7pyWlaVA2c9fPDVsoVPcA5JM CnAm6BHfd3CQHX9hbrIGBZx2xz12wS4M8WxfrEcB/ajhmjd2HGRxZNJU2JoC C/bLzXu6nYNOOwhR/3hR4NECCbvRrRxkqL5o6tNRCqjGlr2Lxf4qKPGkPYQC M4pConRs+zsrDhYnUMAwMYnfZwsHicaS9XLSKEA9qH1qOXbNbqbo6fMU2Lfk CjRu5iCqsNbNfTcoMP8W9T0D+323XtimuxQoepYU3bOJgxJKwdagigLvkfRY OvbEng1fpV9QIOg9o3Ap9sN7+7SaRihwWVdyjaItBx2NPyh0/xsF9p5+vHfI hoPoLoffXfpFAQkl5/wS7DOLjgeFilKhevfnvzbY67kRVh6SVDjRHDCjhD15 /6T8DnkqvPfoezCxkYN27UupVmdToX6m1jIHe4luxpkVa6hgUaUycxS7fkmu 08J1VFh4JEjNBptRcXVevxUV6GU5EwLYU2J1puc8qGCuw/CM2sBB1wYbpU/4 UuFbwPw3rtiOVS+GfIJxvfxXBwvsx27v46xOUyEp9PkFCewAgx4H7RQq2N5x s5ix5iCWZD+bkkWFzZ2fhnqxz9aMN/+5SgXvsRNDJdgmad9zP9+hQtqPaq0c 7B8Hfx1+94AKPZW8Haew9yxbIHHnGRV4Gbo/nLFVvRTtXD9RQW0wqUMOu3c9 hb75KxU+xtdOL8ROlWH9MJihQpSAV/EvKw76Wa+VJSNCg0l+q+4e7FsZ6zwF xGkQYEwze4Xtcmi9/ldZGhQO79J8jP10+caeJgYNPFvWJVzHDhnfcvu+Og08 OsJGL2CvarCPKNChAamzqiYNO93HlRRmQYPuRpOicOx9T44f0HCngf/fHUoO 2K76NJupwzQw2Sv+bDP2gTutWpUBNLhiqPHIEts9mypoGkuDrWH7z+the4i1 jook0YDv25j/GmzPmOC2l+k0cDq6I00V+9Dhlkv2V2hwbKDzPyVsn/6g+BW3 aGDa/NdvOfaRnRQ/7j0aoPPWiZLYR42DjLwaaNCaUOQujB0sQ+aE99NgS3Hz qUlLPF9C81OTURq0uwUL8bBD5wUWi0zS4NGaS7dHsCNGXoSnzqeD5P7p0D7s KOcAN3tROli4aeR9xI5+q2K7QpIOwz33hjqxT9YeUywk4fftwpw27FOaKkJe LDpc9nJOfoUdd/X5F/XVdGha88DpJXZCqnJ1xXo6oITknU+xU9yadr10pkN3 4o3sauy0rqPGqe50mM3vZVdi/7dZiW3vg+v78t6UY2esO/qTE06HN1KsA3ex s4oVuVdi6fD6pqttCXY29dkzzyQ6ZFu1bCjGzl2qmPk9lw70J3KRN7DzTjyN qLhCB1G1K2XXsPNnfN3Db9GhaiDiTxF2Qd8TbZEaOsgJh1Vdxr52/0i7Qjcd zqRqjl/AvqGqUMPpp4OevFVuLvbN/MbLV0bpYDKl5JCDXRwv76/+mw4KHOmp LOwSvsbd3+czYGuxzdtM7FJ/H5MKUQbYK56ozcAuc2qQNJFnQM8Famk6dnnb 4V/CZAYki+RU/of9wFKur5nFgNfMM81p2FVrDpfs0GOA9gv2olTsugXLN3vu ZIDH3nufk7AHL6lZfXBhQJn9DSrhRWBibO7BAAXrd+5nsO0DD2uRjzOg4m+H YCJ2mFSM2tloBiz7rO6UQMxfnEWfjWdAhv3B2njs8eGG5Z3nGbDI/kfKaWyp mE4Jy8sMOHb7lyBhPZWvovdvMqApuy4sjjgPOxX+ptQwIH0yMOIU9oomX65V LwM0hj7UnsQ2OnCqs3yYAZFj3Q6E3flz22hfGaBM4szEYN/Ve9bIz88E+6Mu xoQ72ntqfRYy4VTJtS8nsPn8Jst7JJjQJhmVTdj6utL1CjITuh5ZziPsY65V wFBlgpHq3fJo7PQ+q5x0TSZUG83zI8yVP5bka8qEx3uW8aKwgxJe+LHcmND8 8qYI4VwG1yvjMBMODXW9jcR+/Hh6v1AgE55H6xcQFvtDsueewv0IOpgSXpup s3nTWSY8K3mynPBuLRurmkwmHMgX4EVgF3rjH+drTAhrDckn/EIkSUu4lAma 7rEhhCcuF6gdq2SC+gmJnYQNe1qUt7xgwpJVO6QJv7WhCS4cYwJntuZCOPbP z+v+Bkwx4XgSK4awcuzm6YG/TIhOO+pJ2Ks25FPdUhaUmZLXEU7ZlcJdJcuC 9PE6CuHy6cLOHGUWPGpZtZTwfPU3zUEaLHgeYToYhs14Mdw4pMuC0XbWG8I2 7n9rtxuxgFkjW0c4K49ZorGVBbWjWy8QfqiPrl/YxQKroogkwoPvtxUsdmVB 9IxdBGEN8Yj0T0dZkPS2Zx/hCuF3jCchLLCzc95B2IhPrbLgBAtmntpbE942 3vnRKY0F9K9pmoS7Blf7Gpxnwdm6T0zC+3viBOQLWJCqXqtE+FizNrO9lAU2 EQ8WEZ59fKaytJIFs+yG+YRPVQ1sPPuIBbqLlH6FYmdeT/Xd8IYFWnzxnwlX xY1X1k+wgLJ27AVh00gzm7yfLKDu2dZI+GVgTm8oPxteSMzUEv7oZi2oK8EG pkN7KWF3p4vnpOXY8DTr103CPLsZ5qQKGyZ67YsI85sV2tzWYMNL+occwvEG f3sTdNkwqM/LICyltd3PYz0bROx00whTKfMzqJvZANWW8YQt+J042T5sKL4g f5zwq5l7fkGBbCjdEBRA2OHrIqEdEWy43P7bj7BnbwVLIpkNZ5e5exOefCde PX6ODUVSlh6EQ1rcbZsvsOF3jJEb4TM10kdP3WZDU1eyC2GZMm+hA/fZ4Gk9 vIdw3s3HGca1bHgl67ib8J3zvtV/X7KhZX/6DsJtwS+F/Mdwf5xFtoQdfamZ W6bYIJomtZHw4MEQtvpfNpQ0qlsTnrZnbRpZrArkkOvmhCM2RXKfLlOFR5eF zAgLW7w/emWFKuj4+ZkQltM+memyUhVszY+vJ8ymadYoGKjCw9R7hoT1l3G5 7zaogm7OMn3CTt8MVG28VOHlyUBtwhXq9X67QlUh66y11lzeh8wq3c+owjuK xRrCh6438R+7oAqXFrpoEH46bGMVXawKJTdzVs3ltW/Hh5zXqqBGTVclrN7j 5F4+qQo2G34zCffbu0+/ll4JXdFP6IQz3vic/KKzEvJ3zKMR3mATtEx410pI ywujEOZ7FllACl0JY0sVyIRbSy/1JgiqwdjFBKW5vHMbFKYT1eCFTv6KufOz J+fgy8xVYPPsmzzhkjN6na+3qMNsqNucUyhVy8pb1OGc0oY5+1UYbMrZoAEH 75+fc0b9kXzJNg0IFP63vqbp8kTcrtXQdunmnCXjxt/NfFgNFxbfmbO7uW71 Qfs1kDX1c878gVoPPDhrIHNh5ZyzizTueXpowlEx3zlLvwyQH+NpguH843NO /lYd6ROgBejLv/70WpaHjE5qwT53qzkPXPM/5u67Fn5Iw5zbfkTH+v9cCzuc TOf8yCwlIypKGzZZm82Za1VmEDdPBw72GMyZz7aDmxShA6vN1vyzhcWEzB8d KF+1cs6zUDYvL0gX9hdqzNn4Rjv9AZ8eTCSazDlWZnrj61g9uGtqM+dfOiuF BwTXwbHP/3zYYV/9dPQ66Au2njNjzDo1e5E+iNWaz7k3UtMV/acPtoMWcw5e 6HbBVd4Abq77Vy+ZmtkRl28AUax/+9F40fPMq4cGcHLjPweWGBgt7zWALud/ 3lxBU6gex/X7/plVv3TKedYAMl3/WVng9KjlfEPIr3r+sGYbzttMoG/1AkNY uCBZv8IF399NP1oElhpCd+WvkjD8v9n1inO1SNEQ+F5v7FEo4qDXkrvzzpIM IeIHf317CT7f29vTg2mGsPT91Zht1Rx070NT9AY1Q1hsrR1w7RW+DziljjwD Q/gkOl4h9YOD4GuMuI6jISRUq3o9N+CitWv4hFVcDGG367bqKVMuUvUP/iuy 3xAs/V/TFthw0fKZQyOdXoYQn6ym3enIRRN89g3hIYagM8onfTCEiy6LsYKe ZBvCmVcN26vucZHa4M4fAnmGcFVtfRermovKKuMCjAoMoUiXnnHyMRc1Hvjk X33DEJ77+o4teMNFw1VFvqXVhnDzVn4OGsffP0j3uvDREL7/fMzqpfShkjqK UwAZgfbz7CGx2D6kd25bz106AgFDyZnuhD70yOuE4wQbwe2O8cUXU/pQm0z/ Lm9NBJVvaYNLc/vQlPcl+32mCKasFsadvNuHdOVIW2zdENjO15j587EPPfRV MqVfR+DrdCS5W6Mf/fw+nqxwGwF/h8Ua/7X9SDPoYZd4KYKrCvaiwuv6UVG4 y9HfFQhkjW6lK5n0o+SES5deNSEgB5oXydj1I6crdP6QzwgueWmaawf1o9nR c07DUgCMu4XLYqr6Ua5ynoLBNoC9+Qe/btYdQEtOazxdaQewtV1Xe1p/AIV/ q/dTtAc48eChSBYMIOfGgabZXQAfn1xye28+gEhe7KD6fQB6LlHxOnYD6Mr9 srfmfgA0A23f074D6JZN85ktKQDtP2benr06gKpDfvK5twJIBjn+nhAfRCrW C36Td6yHJep1Zs0fB9HdFmb8h7b18LzT0iUnYQglNP5VV3Y0gjMWbYwNOsMo 1e+Th3OXEWQ0q8+INg+jkGWKS0k7jaHQWeGhmN0ndJUp2HS01xhWxV8v8+N+ QkKT85bX7TGBnIeFtP49n1Gh+p2w3CETMLVxfZX08TNi7r1m88fbFCxaReZ5 24+gTssHJdtHTGFks4Fl9+MR9PpS8ErkZwamShHvYe0o+lG6WZ80YQaBHVWL z54fRbPlvvdOHjKH1NWhWh1/RpG1uplpyHdzkDyWfnWz6xf0xHHVQU8/Czh7 n9ltVvcFxf5pujTyywKm9PVu7SGPoW1py7//wuaT+Iw8sJXZ7maLflsAPuCv /LEr7AU/qWLXeNRNJmCPliK1Q9hqvSV6ldibPO6W87C/lLc9lqGMIbl3Oc3f /1iAcb3U61bsQe9RRaG/FuBmlbm3C7tUYJ2PNPaFIKlvQ9gbVr+X0Ma+2Dwm OYsdnihhH4h93GbN9pXUMdRvHMv9iR325NfbOOzijrdrRGctIOH55/3/YYce ocTIYysEtn7Pw5a+UEfXJ/w8fFk5tuXPX16h2PK7Dm0bJN6ftapJxL5/WaL/ KzaXnrk0Fzsu86bfH+yQ7WtLarDXhj5JkaKNIYvRE/NbsPW9zUjK2Mui32z7 iP1OqOoOG5u7nHRlHFvRirFeG/tWsc/0LDZVO77VCPt/zneaGA== "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"S (scaled), e[t], R[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, GridLines->{{0, 50}, {{0.2, Dashing[{Small, Small}]}, {0.4, { RGBColor[1, 0.5, 0], Dashing[{Small, Small}], Thickness[Large]}}, {0.6, { RGBColor[1, 0.5, 0], Dashing[{Small, Small}], Thickness[Large]}}, {0.8, Dashing[{Small, Small}]}, {1., Dashing[{Small, Small}]}}}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 50}, {0, 1.1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.417784287579735*^9, 3.417784315274119*^9}, { 3.417784388555185*^9, 3.417784438383207*^9}, {3.41778462128445*^9, 3.417784647022139*^9}, 3.417784689582097*^9, 3.417784731912246*^9, { 3.417784768154583*^9, 3.417784925361487*^9}, {3.417784963988143*^9, 3.417784983597654*^9}, 3.417837572357297*^9, 3.417837602692354*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztPA14U9d1N/qzbH6iJCTRF9gebhMXlySLVkJxSfuCO2B4JKuVEr64ZBrx KCHGSYPDstRQbcxlLCV0I17GkOGtKN4I2P5SsJPAbL9tCW4JtdlGMB8fi14z ht1higqEPVmydHfOuZItWfJ7huT74m1Y39O77917/s8959z7nvzIyheeXlW9 8oU1lStnLl638jtPr6msmbnouXVwy3oTY5YpjN10r4tBO8Lyfs4kTn83c86Y abMCvmzNy2rDteHmZb+LFx06Yx168zJLbZhZm5fhSLYEDnv9gdJZFQPel5uX sfS+Muxre61+e8OJqupRfb+DCENnGOufkYXQUn+AWbeWN04bBZM/zJb7bPjJ 8JOFtm/AhRW5dp9llvCTzFpoG6Zsa7jSPwN70juWIkDvTueCUQAohgPZwb/i hZlAJGMoxrne6do0CnCEJ6E8xoZ5AkyWVDspsbXugcY5Oe7bvPucC7AnvYPU 1+UWZhkFRCz1Hu6f0faWc+WovvGriVjSO7O0QZT1Tn136Iz73dx9PU/kwLdE GLxiwLlg6/NjKirDp5B/znP4VM8Tda6GE5WTc/lUKFZ7vOFKxbExfGpmToRd 88rWVAw0XMnlVKaTATWYl2Lc+zISyMACx4HUuGG1W9IvYETr8IiUr1hGXcB3 kLGbjTHhhYOxxEvwcQ+Vx9cXxE+heePL4stYPhzW+LTYtqFyZhk6wSACDJ2g T3l0YOj5oROxX12Z8p9Xzw2GOkBXHyJc6EM4T0lrTx1HezzjrxMn10DAqWkO nd6eMsb9TzJ+yqi20H3K2pbRFzA0Ah82BY5Ue2pauwCOvEjw0ubLzww8y9iF VlD1RFLvJ1WXg3Mb38ic/MlEDD/gijvB9962JF5i9rgeP0Wf15gNXNEOLigc cDuzgUtaY+FYS6yFOeCwMxa7Fz/RY8wW3ces0TXRWdFZzA4H0BrsH9zM8uCw Dq4atA3a4GzLNNMKMRHQ7+PrcSLk4USI6zgz2GQ4rIkn4nPg7AAmJycOJ9yJ M8Dwdy/Un7vjgnfg2cv7L/195KwVzGWPLBj89uWfXajp+xa7K01l5Wntb6Sp 70EKHLuTGjiceAnEfgvExRlnhVlWHoPQACJaY9tQQGYh8ZZEZw32MwuIZBu8 GwS0RfZYIptmoetEZkY2RTYxW2STkHTV4GYYZkfpo07SigO1En05ug9QOQjd AOWFqSlNpHgroqCuEM92OByhDhD2zStTLv0istKCxAYXRp+54GV3jkPQz2Hc A0FnxPWhEyDinKEDzIK2iz0SPRZ9mWxkQY6BffT9m+GwRRagMCDcoM1C9vsJ SYBKsCVtXm0h7YSHyilOgWMMbUc3QQ1aMYTFjoNB0ZqnmD0xj2LdS4mdzAaW tPIn+UZwQAvfeO/omTuWIiahTOeWD/zw0k9YUgcDl/o2sH/A+7pC4++EY1Li DHnvtCFXbFt0H8i3KrInMpM5AcYNRtozePfgZrAI2CE2OXYvSHYMRICwGp8D Tvga+d7hRIzPAA61pyjju8y5w1mad3H6lUcHF4IWFww82tfADqVx5hJWAG+e FmsBra+KrASXxaizCWwJ3IBGw8jFkCs+LfFE4gx/iGvfHS/1W9BRzu24XAa0 91x4jL2DlMPfo3GTMHNyLb4++j5oA+3MWD5MloXRNbHq2COxarDNGa6xLebE VCJ2GxF78dJmIBb85ePsrTQxnRhp+e74suhAZJOFpuXZ6L6hB+KvJQ6zvxwv hdvhsF15FPA/dW5uG6HfnYpbzJlwxyaTr+6JTR76OLHztfGg7QAsdyDaXy6H STvzwmOtaSqyEeqHovsA6czoQMK9MwdKwJiODKeera/h0k8j7MItB9NUYEV9 x9cDhwuiS8DfG8bLnhsxhjouFyPGA2lSU/oaeiDCBv8ucWb3eNFRELycD8ha 2Y+h7RTCch7bFmHRAa4p14LJFmoY3ByZee6ONzEeCVGHXMBS/49M0Sx/X3pd eo9Nh8P2ha+ffvgXf/y1dyul9yw3f1QGtxxf+P7b/813R96N7OEbzZH98NLq C6svsBlw2L53/lc/+qj0uR88BRdWuf/LfXAuw47jg8hb4ok9RugWoVoTEBKi Tq61kOW0yJ7oGhY0glqM7fgcUOExRkDxZREGIc4Q6LexjRaEGNqM7eixCPJm CLSEBjrRWKwJ25FNsclmQLRsQkeOHuOdb6R4HXKx142gqOwmcy6Mv7UXO9BJ EmdyQgEQrsEc8VODd8OE2RSfxjc2Eq8DkbNwNqT0COm5EzjcQ1HcAfF4IWSK 52PVQ+ssmCog3UOyiK+HqWOBVOGAlL+TcjSc8YY9eQMG0YD85DXWBhC3IXqX sALMMaJaYEuoPQ9iaozdg+3BVdElZmxS+ZiYFwtHzkZWvo7ZJtZCHYbK/yYc 90Dt+xAlklNYw8enxZdBImqBwH4QqncXllGZZwj8LWl3scYvh7stUHMUUC3y AFb9bAm2Y/eBmk6wImwnDpszBIfhLP8/2i+6JyJnE7ofnb4gfYWc2hSyjANw eG2L+c8qNm7YuABTi2fMwjbcXcFLWFngjToXfgCl9cb3BPu21bmydznQhnbc jhImRctmpfTspXlqo8jMXT7rCTIB+m+Ethua///Wf0Pz153O7SPpXCRj8bxm XInZMbLvHTpjxXxcvJBGMMsQrnKtN74n6rdBlUWWF4+kcHCyzhpi+JkIrN/4 Hpc5058kWcWzPBxsXm2nAoI1GQ1mcvMy/bOOZBOg/0YOuqH5CduPj+ELuNam NsoNWq3mUSvlGsWjlqiWSpnlF/tKuFctld28zO9VPaobJrxXZVNKuJt7Fa9a KBfD/a9IcJXqz4N+a5nfzUslVoZtN/eocL4f2x0aEQ0acUQvaXRJf8pLNOZg ErM5/S7F6XP6LIUSy2eyS/UohbLTV+z3KG7u9DOLR2FTCiWnz6N4FJdC/VKy X4P+POi3FgOCQpmVYdvpA54Udh+1/WU+brKjhxujBT2ADriRPGqNUik1+0Jc V0gO0JPUq4y13SnekFGBf3+p1ONntK/awZlUKRkTxX1fW5WfSWW+fpn2cMt8 bo1r49hiBjmlGkVsMXdoTGow0TjuZltrYSCY7E1so4KBkuEW+MKUIE9x9mNs t4F6GiVjoN9CofrBhMU+XT2QJCXpKjPcvEcoqxd8IKSxgymywK8h0NdT0tfJ rI3sJDG5V2V/awpU7CPpCSjscymgFUOgUmyDjqVmP3ub2kC1XmFZ8y5rk6zh Sp1r6/MNV9KT6AJs6zCTwP0Pkdn9Th/4V9bDm6xcbnPt0Tu55tqURIdl2Set IKBcZ7aX72dSlzwBipnrLIEcnIdh7sw6fOWjz5qXay7W0mtvuOia13HKudLy aRXfzDbEYv/IpELZMgHEv75v0gxGhPJlnzUr12zdjOlbvLCq2rmgfnt6NHgY 2/Uqk7b6WDu2t0JGqOXZT4azd0Y79Nrjzevb3hqFDrJlJ96BqCYBsoBRZJNF KoYMojEEskE4hFTW48v1kDsTyqu6VIjrqoAqhAqhX/obI6ivYbsfYnSNyv4J oXoVp79QDvt2mEKBPmSA/GeE6oFEW+wP+//aCOqr2OaaWyvzs/eE+2D1EPYb vg9AUBDjpTaVHSEoDauMfvmvTKEgdWO7K0kL5OqX6o2gHqLk4ydt/BShumQX VDsh7dUcUABE4yHnYCVyVGjPrbmULmm7KZUSzYOZ6n2ECvFiH5MbZcPXLeYn LYWZ9WdkXz86U530F6ZQ6L0hzro5vVdSQWUQpNptJoAWj/ovSAgMLZXKYf8r RuO/gm0ggt79rwjVCMVgodTj22oKBQJJINi/CUeCclOuV35gCuVRSjQ4n0Ch wv4yUbJJ7M+NAEuISY2Y7EVyqBkmd8mGr9IQFEQCZPKUEM2lMrlO/jMTKFDg aWRPh5qdSSUa1EHfNwKZN6xDHztDhGSc+Fv9dbndb16acf+d9ODzKkgIRNxk SqgUVhFwDiUlgkKvXvkTI6gvc6qRaHb8HMn1y6j2Eg7k/aaAMH0lyBf/gYCC 3FY/OOFGU8AqiC0w8GySItih2A/RcYMpIC6W4HwOAdug4GVShdYvM8N3tOZi G2Yzxt5+aDt0tZbjMgKZ/SNTSHJlmf0XkgxpxKsPhH7RFLBUonAwkMGrxNYb AT5I9lCYDEX5L9N49dWoYX+NKWQzcAd6DCNkvwx1Onh1vcq1500hKyEqwvkS MttDUahQhgj9ndxe+mCaLa6QfLAOwVUPrMueNaI1JzVbwRZXkUuu1atuDVUT 0taaQmJcBs/USTNKLa5Z5Qrw1WdMIcv8hRKcBxEyDNp0QnSuhNzxtCmk01cp wzkmdArrSJnJVbCS/LYR5Jew3ShWjwmClKqAIthR6Zf/wBSyzkf5B65vQuAQ xyWX01cFa2XDlyEJOBkE4NqaBJaR50oppP2+EfBvcsrlTj/ICNcOIXANzGo0 T6/6e6bAPTASXBCuncN6hmjiVXp8K0YDY5mV8UuAqmpmaTjBbDXbaJBQPobo MGEsIIz+Wu6icNjsr8iFMbMOdC7o3dm7k6r8TEbL/MU+oSJ8lytPV+tpfhbK 9VhqLc+JOWP9AIzCX8MJy3W/JCHWmYrn0I13KzK+LXUullfRBmt2iF0lkdoD cP2pE8n52kRy5Y8u49qT7jIe8m1wZJjQcH0remKXjGkZZ1Wv8lhOf8lYQtRs azjRcKJmWxZajGj9hHYaTVYNUiNGUrlNLTeabwTsVSiowfUd6MZh/1aojofd +FFTeJdamYTHR1F5XGv2eSClu5QaFRLVUiP4B7ANxQ9uicH1jKROVIw0XqWD l5kC495OSMMbv47E+6UaWOgQ87B8ENtvhvAV3KUK5mcK5hsldBoI15iFFprC F0reJPznEb7HXyljsPKoDRyUV2oE/xvYBqvh3hRcF1EMUeoVzIEQPn1A/2FT eMzVPRTaihG+S6rgaHmP0qBBAfDVHPAATpBVfqePk+ZmC7MDZT9SrpS6ZLE8 MKRcLHZq4fp+ktwnJC+G6g1i7TwjeATAehFXznCNXuTUlQbcYoPJUOZvU7j2 oCkCXAhD7QjXGOTzetUaqgFccAaX+pIpPGUFSlJYFOa1KWWYlcH89VAlCesa wntxV5YEwHWAMwyCF9OqwaugAPeZInBrqYnzEAmg1CgkgFLlB5PONoIn5Lgg aCALPkwCqBWakwrLOhm6ZpnCN8qp+oD8lCzAmQVEsJISfOweUxzkRSQDzhVn P6xQhBLKfI2SrnzOFIFHLeECAe6wO3uVWg2TqNNXoaEWJSME9/KRdQdcY6hx dkFZ5aLwUwnewbUZuacAgYKf4yYxdGGUc3KtAyyClQEAyx38LlPaI3G3XCBo UyrwEYfkhgjcJd1piqBCcyel/yZNArXZ78WqMolgmimCkfizPInAl47gFiME 5GFgZVz0wvW3shF08KmmCHD5BlMRrrG0yx9BAHlBRguwAlMcdWBxnTxxZRIH FGaoR5dSwdsUMHGeKQ6vkqrGsDLOx2dowphO4KdRhiltM8Xh5hWawLGa489t wCGqfG6KSqWQDvtlrNDEL0LTYb+YqUhagfT4ajWI5DSbPEox1plZPw4jOHwm 0kE0n+O4UaTWycXAdW4iuIwUMWsduc/V0X5No7xqKqOvMxL5i5kOZDi2mET0 0yYTXBsuImks7gB3aOMbizsVQirzsRVaSjbzsYUyrS3NxlKkBPeT6siNXzAd O5J5zMeOhIissRgzHOJn/OJHzPgbZlvyN8zCOhXcnXTILGgvfNkFpayffl/b agLxuj8snP/pV8g3vse3gsiwJRv9S3R86F7sq/K3QT3+eZ5MeaJ0ytoGyuUV U5JewXqVrVC0YWx2+kohU0OFOVPEqlQezMJHywfxbwFY1m+vnSlCutqh1ajF fmLVpXrVBi1E1Tw9hw3lZjV9qtg5PYhuhJWQmxOWQqlSbvaF/bimwCrDz82x 5IsAWq96FafgxQOLkA5NVyGRWnBXmP+hETzeyO+S6+RSCStBVFKdDMqhLIqF 1Th4cCEPQh8eRehDKfPVQ0mKmwRU79dQpjPkBBO/Lexr9lX5CmWLeOvCzbf6 QpqTZ+RcQyyoO1tIo8JaYIEExxvBILbMsGuIZQZh4ahVl4pYHJgzKqV+SUQn briJiQ5m64HFBT43t2I2LPNTxxiKBDj0cbuuNMNCFFawpCxDEnyCv9Pzv7Rf dGf1iBk/vv9aY9qkGNF3KPQ4T+4g9+0Ioa3JP1ur+96BMw506BsDRYGiptmt a/UVNAXCd7WubZrELIEia9rY20zGAl3c+mTT8Xbv7R04W+mRwJHybnqVBY/Q 3EDRyatE1ypwkeSpdvqY28YYk6JDS4jQi8G9vFM8LQqe772dJ0MpD+HYvh1T DQgND7rVhBL+NtwZnn/EFTwafCO4N/jGEZe+wkEDO4NbutcRNsfJD5oKoHvL /vMnP6AbF6OtrwRWB4r2A1/IVEF4ftPswKL950PLu9cFFgW3tL7SNNsKdAqa Zusb0G59p1vXBhYHFjUt7TuEKOyh5fvPBxa1Lu07zXBgXmu1MPDJDwKr9Q1C 1L7TyGzrWtoOTsdgSRMFk4C971DwKHTN7r1dKDpdFyksNuEpTZOgw4K8tS4N g6ZDywG0KLhX3wgZaSN0GCFM15s1uDewOLRcsNp9EHBs0VcgsLX7VdD9IUE9 UNQeBsQbkOJk9JbwdJCiKLD4yDpQ66STH3DeNBs6Le1h1IO1e52+Ing05aEF F6OBRTB6dfe67leDe/uioMlDiMqKmuveToKAe9BEI62E5weKjpQLptp7SPKl 9tyYhqV1oAYQLDSXhyyj9ZeOxcY1vAgexVF2fReJslrfyEZbZEyUGRoMFIXm Zvp1h4s0iEbSdwn6wS08xPnFKInaBCuu9hYSexLOf/gLtbdwjrLBfOGwcMQ+ W/Aodu0/n9SjrbUFsYdeJFLh6e09nLe+QhjD84ehrPvTFImSoiEQAObt6uD5 i1H7GKhSmhTW2EtIsvwwhcQhxtkEsdDjeGFvPy7cH1VpiCqlP1oe67uaCpL9 Nn0Fxa+CJKwT/wUPzbwdeic45Goi07oUVLUF3Y/+lQJ4EbotCpnG0rDWrMG0 oTjfYag1yVpSVdZUF4SqgtEgI/6QBTISk9IIH/EQkzgnsnWRAzpDF1zTVyRt B46JgqHTipzAO2m8iACnkUVh78Biiv9C1+QxTPyAcdcRT3BLe4u+guXQy6jh wt/OC56zWEVigKYgC+za1dO6lNRzMXqN6hGBf1f39sAWirVWoeCUKe0pT9l/ PqmVRe3Hw/PFLIAYh7MAzQnjgLTWtyM5/3J7SxGGPGZHzyXYvWN6DMzvglFg 5PCmck1J6+p7hyXD4cjMNddrSjNUXJ/8GKOY0AxO5pR5MIIlY5BDhGxMF00F SGNyexhuLMLAFHoRQnwP6gGj2Vgzqb1lOJrYRb4Bd3cJ3vVdgvcsJRUF8EWS grHgx6MoBylnLe8c1TUO5VCEPnmV7onYO4mqLJraR8oDRRejQjnE2xauoSaQ wamQwcCmJz9Gl8UiYfjcqa8g7bS2ZGjnZpETw/MhoUAc716HsqH3HPFg4M+O zRjr2sPEYUEu2HH5Tx526bvQkvvPwxS9DvXYRZYLHoVsn09jNgQWdx8UauGd UFZtEUUV3nDpG9rDeAmRJYyxioe6DzbNBhSrKdZsINHQjZKhisoswLAleL77 IBVN+kZA+QZ8jmbrpHduYFF4Orl0BuDofG7loZEACIR7Rk2bdO0gj6jd1uqs dGaGJl1NNqo8FusbCRBTFheLd4hEGBDZr6VJfmum6gln02y0K61v04sM8kKI Wvax2edkoUWjjZsTNMPxsQIBNRNc+K4APWcTcN349t6MbI4dKZInr7aH7xhN j2tNk0xYHcmwpqDprDr73kH99u1Ab0a2yRN7b6fl0fRsPu2CXt8OcFR81pBc +bQuba3WNwjiG/oOpVQfnt5a3TQbzTyZAmPnSP1ng1q9CKec9RqwpIfevIvR 9hbw0qOwYFh68mP6/z5Yrq9GTLh9QmU12km8aff4sMfZcbUSWNxUcPID1MVL iLGEAF5tbwEdrBbQ29t7miZhycjb+XgWluym/wHnBB0T\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotHomeostasisResponse", "[", "1", "]"}]], "Input", CellChangeTimes->{{3.417781767765467*^9, 3.417781794055885*^9}, { 3.417781829960942*^9, 3.417781835071107*^9}, {3.41778200943048*^9, 3.417782009790174*^9}, {3.417783320062844*^9, 3.417783321641201*^9}, { 3.417783607677207*^9, 3.417783608329365*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxdlAdQk2cYx2MNQwNlaSqjbFmlbJEVg+ytCFRAqR4ICRAQiFS0LKFIUYEy iuUsgaKUUY4pDiRI6DVoqgcERwXuGJZ1QMHBhQMhHVee5zu+u1zud8/3f8b/ eb9XK/zssciPSCRS6T+/f/+1CzductRbD5H+f7y4Un7TjCX6Fj+Vtd5FDiM5 brFToWtP7RFp4EjTNVlzWXlgX8PIN1T3PY5B/z3P6W3P0pIf2+wDtlc0aiZn qAEz1osraoI1gc/yZyybfbWBr4RK7t9g6QJH9H0dZc7UA+ZJKfvHhhgAmytk ls2dMwI+9Y5m7McyBq7i/KYmyjfB/grsRoTHzIDZnbSjFT7mwN2Cmrd5JyyA me623OhgS+AbdeYdsTFWwN+9415KOH8AeKoh+StmkjXwr27FP2RlHQQmHRme LMy0ARY73tlRdcEWOPcTka8w1w79CY3oFWXbA49fsjpD/94BWKmkfDjvJxpw jbzRhb4bh2A/PUkarvq/0IE5mlVqtEBHYG7qGok5gKzlLfVB5/hh4Nv9hldf PUO+xt800wxzAi5hz8WcHkVO3asupx3iDFxvKCE4N44s+X6HMu9LF+Bas9Z0 zgyyYXiD30acK/CI5/22oHlk4c2Ln9PZbsCr7f4O2m+RxfeSOi7HuwN7m7m5 pq4g94WZRseyPYBzNwQ359eRm1oSRGIxsqBoJHGWMQbfh6RI7S/yARmIhzQ2 i3WMFIFJGYmWy3Qq7OPibkblGVXcz+jgRH2dOu6njad76rwO7kflZcXTlQ2s /9gu+/4Cox/q6zqbH//CaTfExxafXW5QVQBOaaM5KY9jPeNofVblGNY7GnP7 3vIHzD/bIJ3Trv8x8FDMlZQKGyVgxzc5CjZhqP/TOXdybRP1j64JPVYYD6E/ y+gHFLHHLohXFzAEcaV4X/CrYwsGe7C/2a66pHYu5l9op5vEE/oTDRTbnjSR BS6jfNp1uhX9LphoD1umoT4jXzE4hdCfmq+T80w1+jMYrKEyv4715QUiq+GH OK/n2jorjbB/vlkiQ5LZDPPZpZKiAp7gfUgeM2P1HyXMFzWXzG3EfjqDJeaM CfNsvn5Z0tKK52f1xHRYbxzO0/FKkO1jgnofiz8UDxLmSa+gTHmcwnn8O/XU uEs4T5IK74V9Ks5DreTpOxDmsXoQoCJ+j/V2Clb7yXJYr+vHrOsB8nifpwZZ t3UT9LyUplsGzErwo1tCp2QjH/2wyt1LI5miH3ce5J13uoX5NT9juskQ/MiK W+sJZaMfBuTfTd55Y3+Pgl6UXdRDfTvZPoFK8KPJdbnjAg39qO6tqWWF4vxp ibo5qoT+IyNs5k2HMD/VjfzaQgrzj2kpnamfQP2kfrkch6A/nDQqQeFgfNl3 sesFFfXpg5697vvRv73ZQ4FjBP1daUONOGYh+JfpdbteGI/++Yzk1uxTR/9M pkNWyVWYP7BUeWWdcF+5tF19aRqI/jkG065T7HE+odLJqiJt1E/HLahLEvzj l4erFxujf53UffI5njhfy/BzSwqh//S7DQEevZjftHZ8ag8Z868m5zzhDRDO X5FXdz5BH8r3i9fJx/gahc1fVES9x8I3O/sJ78t8m/5KlYJxl4g0ZuMSYT/K 2j8vEd7f3s/27337+d6ebyu+Xb/FfwNoA29f "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{99, 147, 148, 81, 94, 63, 73, 30, 56, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 55, 6, 119}}, VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[{1, 121, 101, 84, 70, 60, 52, 2, 3, 4, 122, 102, 85, 71, 61, 53, 126, 106, 89, 76, 66, 5, 123, 103, 86, 72, 62, 130, 110, 93, 80, 54, 127, 107, 90, 77, 133, 113, 97, 67, 131, 111, 95, 137, 117, 82, 135, 115, 141}], LineBox[{99, 119, 6, 55, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 56, 30, 73, 63, 94, 81}], LineBox[{134, 114, 140, 98, 138, 118, 57, 128, 108, 91, 78, 68, 31, 124, 104, 87, 74, 64, 58, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 125, 105, 88, 75, 65, 59, 129, 109, 92, 79, 69, 132, 112, 96, 83, 136, 116, 100, 139, 120, 142, 51}]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], LineBox[{144, 143}], LineBox[{146, 145}]}}, {{}, {}, {}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJxF13c0lf8fAPBbdijzcpGQkvIVEhL3/b5khhYNDaNky6wIcY2MSHaSkZnK Hi1EpVIJkZQyohSFZK/fo5x+fz3ndT6f9+c9znnO83zELU/ttVpOIpFClpFI i0+JS3MZKaJF1If/0f0sggAqWKXXONpcArmAJ2svcQdCzdn8zA02qXB/fbU0 K1cgxCj1HuGMzIHM1HB//5WBUCfnYs1sUwDJkjIwwxEI3vwLdxbSSsAk89Eu D/ZAiI/Wos5GVADTdFvxEFsgPLvYrDtmXQ16JVyhfcyBMBzI8fVsXg0kMXNN mTMFgs+jAumJtEew8Uzuww4GIh7H80cjnoLskaj9raRAeK4acHfQ+jV8DZlN q58OgJtqvL5bCxph5yX+Rt2pABj5cCLVPa8JTkRnHXg6EQC+Qqw9v9LegARJ yeHJ7wBISDCyHopoA6mw7wlPfgZA/eUPLv3WndDX0r/ubU8AhCTGP4+R74KX Y/Hlh7oDQMYGTLcUdAHjiGbyx84AcGW5fM41rxtuD4rafOkIgHktxarhtM8Q WaHFOvs2AAQfeWn+iPgK0TJunMovAkC/ksXoi/UQSGQcsBwoCQD5Bcsx8vAQ tD0L1zItDoCLYmYNa9WG4XTN+wvPCwPA3fKeh/HjYdgyULPhxu0A2PHF+XFZ ywhIcuzrdMgJgJ4fHy3Ojo2Cwvl9PMxXA0BsriJ5TmkSlDzr+HzpAfCKU4mN 8SgJZyj6D3z2BoDGJa2HObtYMajC89WpWTr46ZfeaHZiReF1XtukZuhQxbQ2 Zi6CFQ9Kruz/NEUHVW/SyX0vWZHsFsaxa4IOW2zvsy/osmFrFIuzwi86SGrK H9ivsQJ9VPPDmPrpwDwh8pNxKwfKplUmdLyhw47i8LbNxhyoIG0hk9xMB7rj 9ENTNw68rdxFOtJEh/nPbTGFRRwo/obdtqOBDhON0duOyHJiSbDJlq7ndOjP Yw0qkVqJFxILroxW08Fq8zSnPCcX7p9z0NC7RQeDDxeyBEW5kIH1iex4Hh0U L/CrkzZzobz+1uMZN+jA2Cnn8Ho3F2Y8782Yz6bD9UjresdYLvzNKON/J50O nT9agvOEuXF4QCh6WwId6q5YikbLcCObocTo9zg65GsNl3mqc+PWh51JybF0 8L3G3qdrxo2ZeSuqSNF0EDHU0Px6nRs75ZbtfnmRDoduFSys3ciDtStOhzrT 6YAH1RPYt/Pgq1veuuv96bCB8YXs6E4eNE10Nug4T4fJw1+O1jryYAslX0LP hw7x7KsfmBfx4A5rc6b1Z4l8FXn7dGuJ/eNF/R9PE/0fVxnY/IYHc+04uOI9 iH7v7xNa+M2DBz8+2sjiRoc3dmFnr6nwIpdZbNSgIx3ukQW5gvR48aleUky2 A9F/bVaOgykvqprueG9uTwdXoZq32715scFyncJbGzqY1hk5rY3gRel4Gc3L 1nSguXYwsafwYpnV2QSDk3Tgqp9QfF/Ni8/lrdkeHyfq9wh6WdPIi5xCSev9 LIl5ivOeuNHNiyFHnIPVLIh5vkqbifrFixtHVkhPmRHz9JSNOcvAhztEtc3q vIl+1z3YaM7Hh73SHQdDeIn3s0mvVmcdH7qGu4u7FgWAobTVCFmHD6fSTZ0e MQbBdLjH/Y/7+TD5cPOK1vwgyP0ZFJR5kg9/IMMvXotgYCzNpigE82FG8slr bl0XoJhc8Xkyjg8Nn8xnfM0PATPPp7ers/jwnfyLMbmQULhH7acZPuHDDw5d baXHwsEmfZKdr5UP0+47234+ehH4Gdnevu/lQ2XNPeJv7COg9iQlLf034YkS +ovQSHB+Lm1nw8iPg1I1Qkp3L4GojKriZj5+vBn5TrzZJwpeROrPj63lxw+P pWudpS/DemP76ABNfjzWEdrOkBkNLeXnjujv48dzngZsxz1iwJ9ycT33cX48 MpXrsWJ/LMh6Jw+3ufLjHWqxRZZOHHR8unUvhc6PBe7fNosZxEMYrTLQKpof Z2xKXxRZJYBK5isjmev8xDx3hw7GJ8IX5k+Co0X8mPfCubCh5wrE2P7suVvD j6FuNxrbDa4Cvpy/5dfEj3qux/qV25Php+yqMzrd/Hh7/kPfo4spkHx5DW3l CD/ac3ZuLFJKA/3fm9lbSWRM57RVW0lLh8n92HqVi4wTcULmlbbXIevu7lRL MTKmrum0GyvLgL0iFrbScmQ0Ky5+Ly6TBaTzLluGgYwFDMZIbcmG/G7/ufJd ZEQuwz6jO7lweEf0Ux8zMlbXKZoy9eUBa871yztOkTGSx7Y6ze42lLOVHGY/ T8Zk8HJZtbkQTjg8WtccSUYfp2c2Tj+KgPv1m6HEFDIW8n5ms1xeClXyvXfN 8sn4/EAiW2RQOTjE/g5YX0XGQ31DguNxd0FogtHoxysypvxY3Vh4uBKeHuIX LP1Ixo+Ooy+tGGvA/cG6Hq8fZFwpmBz+dOARSKxRukWbI+MOx6Jlgf5PodFf +zQrpwDyhrP0kT+8AN/e/fhaRABLV2+oVfZuBBkd6xXxMgJotK1D28P0DbTf ONNyRE0AJUJccq6ZvYVgjpCUtQYCWMX1+U3T7nZQPJVo8/2wAFo6lgee/fkB eppyFYrsBfBE8HjDIeZPEKV4d/bMOQG02In3T/p3AjXheR01XAA/PrBwE9rS BQNT7VFMVwWQcv92yn6bLkg88t30ZZ4AmgTvbKlz7QLt6mnJmHsCeDO1WZz7 RBf8FmcfOlRP1GuqfUxPvwvSA4Xvir0XwIhk7zsrN3eB0ddNAV+/CaBT5rRX p0AXzOqpGeZPCaBq/+XuZSxdkHfLQMCDTRCrg0kyG6Y64cCqo93bKYL4Mnrs KsNQJzC6Ot5cLi2Idxjix/0HO6G4xcfjuYogFo5Gtif97ITcoBOWPXqCmCDH eFh1tBNSlHbumjEVRI/pGV3lyU6I/SqvxucgiIyZzSIWs50Qligo/Z+PIJad 7ZfQWugEP70Ffu1IQXQ91E/2IHXB6em+5Wapgni1v0y/nrDDzZdDZwoFUWBN m/4rwsePlHRE1QhiXOw58SzCppxJz280C+IH7pZnToR3V/mV134WxBkOjbVq hLVPWWd8+C2I00kXS/gJq4kZRf1moqBfgUPdNJFfoUnRh1OAgm1H+bJ6CG+g C9ut30DBHY3LhDsIi25ZfgC2UfDdMfGFTsJ8vf2aB/UpuF6WFthPeEXcazmX wxQMNIwvGSFM0i5fHeZAQUq3n+kU4fHx5BUZPhTca7kia57wYE7AxP1ICpr7 32siEfX0HLTrbUmloNF3EYdlhN+x7Wn6UUhB8e/nXBfdcE+5irmWgo+Ws8ss +om96M01byi4tm/Py8X4ByJMiSq9FOQMU3JbdPGrgcA9YxRs9buxedG5vs0u dsxCOGH5jXnRKZvvHgsQEMLL24x6F4h6YrtSdyZvEMLwHTvbFh12OVilbJsQ ig6VfFi0n4bjugZ9IUyOTutZ9OnRfTxfDwuhrXHu90U7ZKouLDgIIWdq7cii LU3EBwV9hVDtxqHxRR9kZm2XvySEk/dqphZtVPHziX6aEJq/a5xZtCrlQap3 rRA+G5GeX7TUuVDP/F4htIkp+2MSSP7HIy2M30/ILCz63fLqLg9HYVwdMPFn PSzst476uDDGcqiQFvvbzrOxgPG8CBZZMPxxIOOGMalEURRkHvkTbz0TfS3r oBg20yh/1gfMK2027hPHmso1f3yq7uuWAkMJbPYi/7E31xmZ/UfXIhlY/jjM lHndnIMk6rKR/nicq0YrwW4dUlb+9fGn507K26zHOxx/HW1df7jBXAqFWP+6 hoWyx/7QBhxd/teeF1+6bbSWxtCFhT/1yXP7xX9z34gfZ/9ad7lZ91XnTeg/ 89dmo+oyRg4yyLpk0nP/TAmf/9BgyWkpT0QmImRRbCl++bFrtg1XNqPa3F8X R6p+aN4rh9bzfx0t+YD/zms5NF7K73ZPffc1A3nsX3JirUs6b4s8zi25qj7r V+hhBZxc8j7VyYF15xRwYsn9N/T7apL+b97QobapdgUcX7KNzrZK24NbcGzJ V3Ply+ztFP+dR244I/xzWBFnlhw1WunvfGbrv/xe3439XsdvxfklW3UP+MqW /9+qryneg7+34sKS+/I8Ttu4KiGJ9Hfej7SjE+l05X8m7Xrfc8lP5Z8XsHxZ muc2XLbkCwIThs0XVP/5lOnx2omA7f/c5a94AuLU/tlrhXXqCWH1f/l5Y668 D01X/zePuuv2kU0P1XF6yWeL1TUoXeo4u+Q999aLVA793xtrV42bL6gj29L5 Yoxhg3oMVGyJ5Hq/svkjkLUZPyuwUFFpYyKcq2gDjhDfdmF2Kso4X+xZsbUJ GOonXzOuoqLbBuWMIpZ6mGZ3q/vBQ8X8BhVxXZk6GDb88eAtmYrdt7OTB9Y8 hi+XrEuqhagoac6aoXm7Fjqaum/kilKxfNIrVuRCDTTzHkm7LEHFJwZXLuXG PIRnJm/jvdZTcX1Y4PTesGqoStgdcXwjFYvOPHx2a10VlLXXBxjIUnFUIzJi 948HcEtYy2urAhV1AwMVrry7D9ePVjuLKlEx7q7L7Orue5CYus2aRZWKp51J s3PL7kFkd8nRYXUq3g0si3JUvguBa2WN22lUNI2V0bf3vQNeVrn6tVpU3KbG PRreUgHOORK0m3rEPO56Rb1VrgDrb8nKsYZUpNIKXPKyy+HYJgFZnz1UlN3+ TeTWmnIwdrwsedKEitNXuUQr0ssAR4K4VY5S0abz63qZylJQ2kJiFbeg4rzS MX52k1KQ8fCaZ7Oi4sEW4eSmXyVAmXIa+OBARYsaqua8eglwbf/W/diZittf p/X6fS8GZp/j7267U1G5iMdkzdVi+EU6+OS8NxU1/W8O2rIUQ79G830bPyqq 30zOCKktgs5Ag+I9gVRUE5RizfYrgpestNS1F6m4tXHjSzamIsji2uj59CrR 7+qEA8XShSD75dAkYxoVu/SS6059LYDy+6FnNDKp6CzyPizxfAHUnfzmUXmL yDcypKp5Px+M1Chj04VUpKj1huw9lg9t3HruKmVUNGB5JHSFMR/6H+S6llRS MYLz1jKy6W1wjn43MlxDxf7ITZ+nWG/DlDWri2wdFU8dLT976t4tWMFrc+pG AxU1cjMVwiRvgYytlENqJxU55qsW9vLchFLqgYGOz1S0NfBoDGrOA3W+C3ZC /VRk6k3c7habB0bVX2zihqmY+r75vNzqPDjFn20VvgyQ4YpZqgnegMnvrb3P mAApx1Kuu3PcAL+HTCeYVwCaOX5a2dCeC1H2Vpb+PIDTUusWFs7kQnGNpNmZ tYCPY37ZytfkgGqC8adSKcDNp7F0KC4HHjkEHv21CdD5gMOnePscaBHoPeyo CPh2ZKHmPCUHxh0zDh7XAnzqofR4xDcbfDXftKXpAeo4UXSkTbOBhcJw4JMh 4Az3rWYepWwQfGxpcmg/oGd8/NovQ1mwTUhi7y5r4jy+KjuSfRbUDu1pumgP +Kb1lc+2nVmg/8R/d/0pwKa6bJv5TVlg6txtpHUW8GFSe5DwUCZ416Xt3B4K mGOUvo96LhMeuq7RkroJSHwUCq1yM2B6bChKpADwgr7NabvLGaDo+bCDuwSQ KzSHqdorA3LPW7jP3gOszAsJ2W2UAVEXMzKa6gFtGpoNv0xeB7NsqeXe3wHV Cpa9jjS9DonSk4YuPwEda3yyWnWuQ/OtZ1dO/gJ8JqZsarL1OmiX2MrvmQac HcuNnea6DgJdJnK8TIgS9hGp1fXpsDCYYNbPh+hL04ww10mHZFk/ps/EdeCQ VD+pSjkdVJxtbn4URGxpm7iotSEdXEdVJppFEM0FhYQb2dLhy1R7ZKUk4py+ d0R1Qxo0MItURSsijo/s9/U0S4MUsTQRdWPEStksd2n5VFgZJv/sv/2Iu05s SUwQSoXzo7VuogcR2cMz6UqMqWBe11e/cBjxtdP3FIZ3KSDhsMmz9jgiL2WB /bl/CmRXlLfquCEmcZ7U9Px4DfKNXkXujUa04WRJuleUDKJ3jqlqxiIyzSTr rUtLhkviw31b4hHnZ3eJFUYmg/NvHnX+JMSjyz6clXRIBoWkgwNt6YjvK+Yi fDckQ3nfZ52jRYhDy+Ke3My+CpXe0ySbRkR+5a622vIkGC/4MkxvRiyVeSR1 JCcJ5D43d11rQaxgKWHjSkyCTL2bD9+8I+ZzckiszjMJwshH/KAbEXM3PztO TYL9hZUL5F+IZwvZhDe8vAJDn/3mn/DS0JXX8LHkZCJsEHD82cVPQ9bRN2mX BhLBUv/QpxkBGkr95Hfk7EyEt4XyVfIiNFy4EyRCq0uEBz49PtckaZh6mvo2 IC4RQgR2zLlvpeGXsSaT3cqJIL6TZXbtARpaPTvnPhycAIqtms1Ch2joq8k6 IOKTANpmfrnch2loXH0qx8QtAezcpowXjtFwNtTg4oBZApReHbj9/iQNC2e2 b8neRuwffG12+TQN1VXmrTSG4sEuIvHRfBwNhTnW13hbxoO3QOuVsQQa5lUb hDKZxkNkOrfz4BXCWj97E/bEQ0lZmMj7azT03KO2sh3jYfajt0dZFg11rqio vVgTD5dkLaQcymj4X9y+SPPOOCh9LR3e3kJDM9m3vJ9OxEHU2pqs6bc0jCvl ZPlwJA7szxx8KNxOw94yS9lu4zjifnhh7OhHGtryGt9n0YqDS069Zj19RP/p Wxgq18WBHWeq4sA4De9IHQ6s7I8FsZ18n2YFNdDi2Pb5fPdYuFg3Lyd2VAMP TNPGLqbHALp8kV9tpoHmDBl2j6/GwG/hBgUhCw087h41RoqPgSMu1xT5rDQw gmdYPjQsBv4TUVNhddTA+Y5PEa1uMdDg4gnD3hr442PpkwM6McC1+rfhw2QN rDC99a15JBpi3L7ZmXdo4Po+0+P79kWDkLaXy75PGhit91az3Cgarguyn9Xu IuJFJlNE9KOhuFImSKZXA19d6i8ZxWhoZHFOnRzQwPsNxu/qZaNhZfL4m6gZ DVzIkTlOYY+GkMcM6jVCmuhgufOJcN1l8OYXXSVxSBOv/FI8ObDjMtyQZqp3 79LEZ9arxguMooD59zJKzbEdKLiheXqI7xLkyBX5pnzdgY32y9ndMiNA2jLP aM5RCxmmZ0j7bC7CB727xSYDWijcc9PE3TIcmjO8/gM3baxYV1EldyIMJkv2 qEn80sa+MMuPspGhsHDHtSzYSQevhg8aTjSEwE45bS3vMR00ojNHmHKHwNOj m23t3XRxW4bE1wGnC3Bhrj5jYEYXc17vxMSXwWAcSxmbISwhFZYWRFhsk402 x6wumkmOk9wI3zvI9E2GsBjngVpDwoMlIOtEWD5ATYeB8G670jvDhIOPxB1y ehEMQm3XXo3N6eLsVc+0HfXB8MVxUJR5XhcZqPbMCoRLGLc7kwkrOYU5rCFs oPCOR5mw/Ok926afB8P5CJ6DZwm/W7W8tYBwr+aFnmnCQ48H+YQJF75v3cK+ oIvmI+U+rIR9XCSDhAkrpuV/GXsWDOTUGik1wmT6+ruNhPWmZxx8CItqqJgH L65f1q+KIMzp6FTvRrhH6sqqFMLefM2KFoS9TZSKqwh/bhVfoUZYdzCQ4TVh q5+cHtKE+QPeGHcSdvWT6iIvxlMksocI7w532slIOL/Qmfi11UWNlZ/LR54G w/8AJ6x72Q== "]]}}, {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJxF13k0VdsfAHByE1G4rjtIJUQkUp4I9/stmaO5RKJBxK0MSQMhCRUVKg00 aKD8UEohRA/xFAlNyr3muVOZEvltL8v746yzPmufvb/D2mvts+ds37fWZZKQ kNBP8oy9lc6MJCbMesD9PFeGiIInYuqz97idgYrpPRbxxAUHU2/Nc7sGr5y6 K5cKU1C80MtV1C0NVvXfeeE7iYKXp6ss+lzzga5zk9NJo6B0aUhWl2sF6LXc OfVWnIKyc5+82lzrwVs6J/aKLAVWuVNsW1y/grW3eZGYGgWvpumJ0xyF8Ju4 +c7I1RQsP2P6/O4qMezTdTt/5QAFQVaPkqv2imGJ9PYgbT8K8iYrx4xEimFd 5pZtL4iX+gvtWlcuhkVGjpM7D1KweHeOxKiFOFppltYYHKFAxURn08blU9H3 kNHlmkAKRAcUemh/SaLBueu5kyMoWPHw1Dvt9ZIYcPUUL4742J6h5/Y+kvhS 9YnM/JMU/G58F5P+QBIrfd9zV5+iYKAy2mCL1jTs1whWuRxJQds9sdAMtenI qFk7WzOaAhftoWk606SRnTD82eIKBSs/hd1mz5LGM7mvU1qIdcPkjIW0pTHk mKfn8asU0OoX8ipWS6N52YLa/HgKbka5lu2JlUbG148z9K5TUN9dfeLeDBmU 6jOJVrxN+n9p+6xoTRmc+mZpWi5xqin1+JCxDPaaKRfY36HgaLxEs4WTDD5x evsi9i4FCjbLTVpvymDpl8EVYvco2JySNqqsQccSQbx+dyoFaGd8UcKQjquO Nd+OSKNgHu0frR/WdFxmYCGmmk7BoEOLY+EeOgZZ7k7Z+oCCCxIznzk/oCNE bveuyCDxntxbZ1FIx/bD/4R7PCL179Dv1H5LRwPjnbFTHpN6c9bJj/bSsVZ0 /inIpOCt+8mD8fqyuEpk3kDqUwqymWzpUEtZdJ+p98Qqi9RfePsuz14Wp/UH 81qIveULag39ZVGLVZc5M4cC+2LbvcqRslj5s8c6i3iZd91kiQRZhAqL2vXP KJAuG9D9mC+LDI+PZadySf6+oeUFlbIY6cD8Sy2P9HOO7M5kgSz2vbgRW0hc /Or6r7PfZfHmi6Ptjvmkn4e0Yg6KMJCmwSw6MFbv3GcazgwG2qgNSSvwSL1v LAvN5zIwf0PcvHayf23UXb4xzRn4JVUlvNL0Kwyd8s35vJGB9vEtpU/LeyCp JzT01i4GnvY5cTN0Qw/QHt3hLDrBwJm0b2kPeN2QzW1bZlPEwFf6uauvpHeC 241BCUYNA+vs87y+mnaCHE289mMTAys7wxX76jrAs1Td3Y0mh0PGj8/9luoA 1fUe0SEmcnjpA++8b0QbVGce2WK1Tg6rEs90PJ/fBsGc06oyO+Qw1TAw/HxF K9R9SclOOCaHP5NssstmtELM7p6GrAI5jBTZyZ1S3AxY/jsl6I0cXl7xqch4 fzP0aEn5mQvk8HxH7YpW5Waw6tWWqBFiouHT0JxzYU0gFOi1mAImmous9vFy boRUQfBI5iomVi722+su3wgOK6JLApyYeGt2x+HemgbIFM9wkAhk4ovazR79 axpgJ+/F3KooJor//n7nIr0BZCrefo1LYGKIC+fB7BoB8GJ7Q1TzmPjLdfu9 aGcByA/QbLtfMZH5PMJ5UF0AJZvl2I8+M9EjrL54eT8f9j+b23C4m4n6rWYV zUV8UJqtl7JshInWNf/87XmJD5XBZgfEprEwLywx6aQXH442bcQKBRbmMv66 0WjLB01z16kXNFmYdd7KgL2IDx+S/aq3GLHQx6GgP3wGH05Ihicor2ThmZ7y AR0JPujui3PrcGAhSp4rjBXiQ8ObpEUPPFjoJt6pHtpXD2d1s4b9jrBQWibg +PRv9cC9WFrMPcVCy+fuJebEnT8/nJ18hYWHH4puo/XWQ9yWDvvyeyzMN3j9 5uZAPZjlD6nEZLNQNW56DOtXPfTOkfi6uYyFvtMeH3w/Ug83js/IUvzIwssh oZA9Wg+2rfNDWttZeOlp8NFdJJ9hSyOb1J8sbHw3yL5GfC9lJctXnI01jS7J N4g3STkKDDls5IjXbTpBTPPec3+SOhtbRLIvOxE/rA7wLdVnY0q64IQBcVLo zu0Nlmz0SZPZxSZO0LNe9cuejSr73K0nEce26hgxeGw0aFhb3EXyORnHVl8Q wMbfkZ32TcRBlqNyZlFsbLtffrWZ+MBQ8ySna2z8263xWicx7375V790Nt43 ecz/TrxjS0bd2QI2ltNPrfxJbD/tcmlyFRtfPdccHiFenReUWdjIRnlz0d1C JL7ZPtfET71snG13Q0qY2EjR9mzvZA5OzSrSGvOiN7oB01gc3ODqIjzmecdm uKvO42DktmuPx+bPWjxpExhw8Mm3Y/+ux2hqM7Gz4qByVLzmmKeer1jo5cBB ss1FxixkljnzJI+DQY+M6kZJPv39V6cmBnBwlNNePuauuyEDOVEc7M/kVYy5 wc69qfoaB6suhn8c83vxNW+60zlosOhJ65hfZy/JEy3kYCvT6seYizxm3Z/9 loNTKvN/jTlBO2trCEseLUtChMfiH/ixjt7qII9B6kuExvx+Uj7fd88M9K8Z GB373pCukUYLVMDLg8L/jh+nzetTi5uF8yNG/x13/RUdf9tOER1f/XGnc66b xro5eKnqj/cVty5Os1HCo/w/9pf209zoqIwe3//4pL3o3BGeCraP/nG/dIHp Rfe5GDP2c0Hi7Sg5skvHTRVLxx3tWubw2lkNs4X/uGAKZ43H5nnoK/THh06X +2i4qqPIuHVkgi6079dAmXFbTHISXPGcj+xxO/0w1rTlaeKMcQuVBt9SCliA nHFfTyhSGIjUQrlxT9oav/v1JW2UGvfDqKWfqtYuRLFxR6s8k3tasXAivk+2 8er4lTooNO64Qq8bstU6ODpeb17Z7e8RDosm7GZukLvbbvGEryTpPPZw152Y f/ZHbrCn318Tbr7ne8DNW2/CL8yi444dWzJhoVUfG84E6U94FDOFrx8ymHAY a8CmKmzphPfZ7ygcCDGcMD9YdyecN0LhccvGXPoYccN4Ir/imx5Rb57/54MP jZdz+P95TbaqQu7X/6xRKNXvPPqfFWknuyxFuGh7y2Jw62I+MM1ojYumcJE9 bWbndDc+SIYf/TBDgot1lIn9hzN8ECkbrKBJcXHND5fPXSl8GJLwKe6mc1H9 7cpQ47/5QNl0P6tlclHRuSeu9j0fWs64ZuTLc7H9otDRok4+1L0RJCfN4mKJ CC3Me4QPVbJbrp9T4mJgo5uh/HQBvNxQe+GwKhejNyQ3tcwUwOMPZSErtbio +ZKnvMtQAFGCDEfKmKx3bEUq3VMAx5W11n9YxsVXoS7tS/wFcNglyarQlIu7 nnoFi4YLwLX96pJYGy6KX+0Nzk4QAH4LldF3JPGSlFdLlQpAb7GQ2JxtXIwL 6D3MfisATd/Dv8VduBhsvV+fqhMA5+fezk88Lma8O72ASQngu5BdUaA/F38Y rZM4wmiA29Iah0qucHF44IGf4qYG0GrZPEi7TvIrtlNPdCLnZU6E3/JbXOxL +PWPuFsDFO9q981NIf30WjA97GADtD1L8s7I5aIgpt3GIa4BNHer8a7Vc9Hz Src2vboBHhaoOPkpAx7vX5u0FRph6cX1Xx6pAc55XRJ8y7QRXvCOO36fD6i9 ZJ9IvXUjVLOaHPboAv42DKMW2TVC/55Eux2mgMeOLIvd4tkIBvJKa1e5Akpy XQIbEhrhufdsU7X7gN7+eh4VfY0w1Pf1rEIa4MlLmceThxpB99DzOpkMwEbV rsGA0UZICty2fzgbMElPicsUb4KzpxMT35QBRswVMhVVaAKnO2qT/DsATXy7 8Qc2wWjXRac2BmKU6y2aG/nfSFC8rmC8HnHl+lUPF4o3w/STOi8XbEQ0csw+ PyDZDIE/Cn1m2SHaaknk50g3g3Nxc9moA2KHV/6wIbsZlHjzDxXuQExZM/xc Qa0Z7jzJrDH3QexumDN/54pmSLV9FbU2GvHh47BMzYBmyPUfEnKrRFSyv6ge 0dYMc6ynDCtvWoYsdf8W/ZwWeFShfupD9TL8bOQqY+3RCqeLfy9UdFyO5tWe ZqmcNojxaXd3rluOxeeTb3qmt4G/3Cwppc0mqPAx5QnTsB2S1SeX7eeb4KYV Wbv6X7aDaK8wp2DrCgzrTn5xwawD7i58cDShdQU+O1fMcH7ZAerb79mO7DHF +JdVtxct74RPllkPN3Sa4nWzZ5v2pnVCVeLhBeBjRu5P9y9dnNMFgxlrjJS+ myG4a5hEhXfB6FPvxyf2mqO/b+0aXkcXWC80M/XvI85x8PZb0w0ljtq7PXws 8PMzTf3O1G4IGylL7PxlgX6p/JhgmR5YH8vp+0VM65bTjSRWnO9mJjlsgdtT llXHEWfbTW7XJO79nz8jnbgrA7T2Eg/nBcV+IV7t/ugpRbx1QUG0Ib0H5N/F v+obscDJAuXwPuKWPV2zRH9bYKKrupqwbA9k0Aw9mcTi3nOLJYlXLnpPX0Ic QRemqRAHRtLtDhL3HDcLXEvcZBLWMET822Tq/jTi9I81i8mFEFXoB+k5xAFe KqEziE+71KUXEzOvFagZEQdeDe/+TGw59IsXQBxhs2+XJIOMn7PKiyReZ3GO xiZuULsklUAsX5p8U5nYf4PewzxiUce8L0uJLbqOi1QQb/bM9jcjlgt5u76e WHzq/+TXjs3nKN35SqytceGpI3Fquic5qC2QX+m7cTfx/wEfeDs+ "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"S (scaled), e[t], R[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, GridLines->{{0, 50}, {{0.2, Dashing[{Small, Small}]}, {0.4, { RGBColor[1, 0.5, 0], Dashing[{Small, Small}], Thickness[Large]}}, {0.6, { RGBColor[1, 0.5, 0], Dashing[{Small, Small}], Thickness[Large]}}, {0.8, Dashing[{Small, Small}]}, {1., Dashing[{Small, Small}]}}}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 50}, {0, 1.1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.417783322039455*^9, {3.417783591427577*^9, 3.417783632771072*^9}, 3.417784207660827*^9, 3.417784246866184*^9, 3.417784316080832*^9, 3.41778439543141*^9, 3.417784439356607*^9, 3.417784926461903*^9, { 3.417784968625431*^9, 3.417784984638521*^9}, 3.417837574583654*^9, 3.417837658037667*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotHomeostasisResponse", "[", "2", "]"}]], "Input", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417781767765467*^9, 3.417781794055885*^9}, { 3.417781829960942*^9, 3.417781835071107*^9}, {3.41778200943048*^9, 3.417782009790174*^9}, {3.417783320062844*^9, 3.417783321641201*^9}, { 3.417783607677207*^9, 3.417783608329365*^9}, 3.417784226924707*^9, { 3.417784272555714*^9, 3.417784272839962*^9}, 3.417837668875938*^9}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxdlAdQk2cYx2MNQwOVoSmrgIAglLJFVkwE2UMUqIBSPFbClCEFLUsQUwdQ wGo5yyhIGeVYEQcSJPQaNNUDAoUK3jEs64CCIhcOxHRceZ7v+O5yud893/8Z /+f93v0h506Gf0QikW7+8/v3X6tgs6pMveUI6f/HjSvlNc1com/xC1nLXeQg EmOL7Qscu2qOSwOHG6/LmsrKAXvqh7+hOu9l+P33TNFbB9OTn1kpAdsqGDSR M9WAmRtFpdX+msDn+DPmTZ5awNcCJQ9sxugAh/Z8HWHK0gXmSSmfiA44CGwq n3Vr7rwBcPAKzdArxhC4ouxXNVGeEfaXbzMqPGkCnNRO8y71MAXuFFS/vXra DJjlbM2N9DcHvlNr2hYdZQH87Qr3UnzKIeCp+uSvWImWwL84FX2fnX0YmHR8 ZLIgywpYzLi/o+KCNTD7E5GnkG2D/gSGdotybIHHL1mE0b+zA1YsLhm5+iMN uFrO4ELPnSOwn65EDUe9n+nAZZoVajRfBjA3bZ3E6kPe7y71XvvUUeB7vfrX Xw4i3+B/MNEMsgcuTpqLOvsKOW2f+h6tAAfgOn0JwflxZMl3O5R5Xx4DrjFp ySibQdYPqffajHUEHnV91Oo3jyysuvg5PckJeI1zwk7rLbL4YWLblThnYHcT J8e0VeSeIOPI6CQXYPamoGp+A7mxOV4kFiMLCkcTZplj8H1IitT+Ih+SgXhA Q5NY20ABmJSZYL5Mp8I+Lu5mloep4n5e9U/U1arjflp5OsEp2rgfleHSF6ub WP+ZTc6jBWYv1NdxMD31hf1uiI8tDl6pV5UHTm2l2SuPYz3DSL2Y8jGs5x11 7+Hye8w/Wy+dy9H7GHgg6lpqqZUiMONNrrxVEOr/dGBPrn9A/dMbQpdV5hPo zzzyMUXssgvilflMQexNvC/4ldH5/V3Y32xHbSKHi/kXOHSjOEJ/or4i6zNG ssC3KJ92nG1Bv/MnOEHLNNRn5in4pxL6U/O0d5ipRH/6/TVU5jewvpxAZDHy BOd1Xd+ISSfsn2+SwJRkNcF8NmmkCJ/neB+Sx0xier0J80XMJXMbsJ92f4k5 Q8I8H14PFze34PlZOz0d1B2L87S9FOR4GKHew+wPhcOEeTJKKVMuwTjPiXZd Ne4SzpOowhuyTcN5qOU8PTvCPBaPfVTE77DeTsFaL3kP1uv4Ifu2jxze52l+ lq2dBD0vtfHuQVY5+NEpoV28mYd+WLD30UjG6Mf9x1dT7O9ifs3PWE4yBD+y Y9e7ApPQj4Pk34xW3LG/p35Dty7qop5Dto2nEvxodFxuu0BDPyq7q2tiAnH+ 9ASdXFVC/+GhVvPGA5if6kR+bSaF+cf2K4bVTaB+Uq9kTxlBfzTxlQSlDOPL nosdQ1TUZ/S7djsfQP/25Qz4jhH0D6T1NWJZBeBfltu9OmEc+ucxyq5WUkf/ jKYD1sgVmN/3pvLqBuG+OtZ6fdjYF/1j+NNuU2xxPqHimYpCLdRPxy6oSxL8 45eEqBcZon/tVCW5XFecr3nkd3MKof+MB/U+Lt2Y37hmfGovGfOvJec+5/UR zl+hW2ceQR/I94rTzsP4OiWJv6iAepeFyzt7Ce/LfJPxUpWC8WOh6ayGJcJ+ lLV+WiK8v72f7d/79vO9Pd9WfLt+i/8GRkRxjw== "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{99, 147, 148, 81, 94, 63, 73, 30, 56, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 55, 6, 119}}, VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[{1, 121, 101, 84, 70, 60, 52, 2, 3, 4, 122, 102, 85, 71, 61, 53, 126, 106, 89, 76, 66, 5, 123, 103, 86, 72, 62, 130, 110, 93, 80, 54, 127, 107, 90, 77, 133, 113, 97, 67, 131, 111, 95, 137, 117, 82, 135, 115, 141}], LineBox[{99, 119, 6, 55, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 56, 30, 73, 63, 94, 81}], LineBox[{134, 114, 140, 98, 138, 118, 57, 128, 108, 91, 78, 68, 31, 124, 104, 87, 74, 64, 58, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 125, 105, 88, 75, 65, 59, 129, 109, 92, 79, 69, 132, 112, 96, 83, 136, 116, 100, 139, 120, 142, 51}]}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], LineBox[{144, 143}], LineBox[{146, 145}]}}, {{}, {}, {}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl13k0Ve0XB3AVGSvjNc8iZSYZ797mITRLSkQyl5LxVXGvKZkJSVEoJBlC lLE3xVsqQ0oqUShXhkzJ8DvX75971medZ3+fZ++zzlnrSjqf2e+6noGBgYn4 oV+lEpfzboqVk5sUKWEnIgFqWOTFfdwTQYX6TDqRKwKag0rzt7nnwGPZRnkW zghI1fx2bFPCXcjPuRIevjkCWlXOum10fwDZMgrwlyMCQvlWH63mVsKh/Kd7 /NkjID3FhLwUXwNMi70VE6wR8CKu03zWrREsKjkvf98YAZMRHCNBxc2QtZHz jxNTBFx4+kB+PvcpbA8sbOrfQNTjXOnv+OegdCzJtochAtp0qLU0t9cwErOU 275IhXt6PBd3PngDuxP53pj/ocLUx5M554vfwsmUgsPP56lwUYhlcDq3C6QY NL2fzVAhI8PGbSK+F+Rif2Y8+0WF9uSPZ0fdvsD37tGt7wapEJOZ3paqOgAv Z9Orj3ylgoI72Ks/GADGKaPsT1+ocI45+Z9zxV/hPk3MfbifCismGg2TuUOQ UGPCsvSOCgJPQ4zG40cgRcFv067/qGBZz2wz7DYBUnmHnccqqaC66jxLmpyA 3hdXTOwrqBAn4dghrTcJAc190W1lVDjvXOd/8N9JUB9r3lZ0nwrGw77/VnVP gQzHgS/ed6kwOP7pRNDsb1C7dIB743UqSCzXZC9rLoBmcCvvRQoVXm3SZGV0 YMC/gpZPLuyngmGiSdPdPSwYWRP86swSBcIsHxZ1nmZB4a0h2nJ/KdDAJJ26 HM+CdjKbRz//oYBOKMOpAy9ZkOQXy7FnngLqHo/ZV81ZsSeJ2VdtmgIyRqqH bQ3Z8IJOaSzTKAU2zov8YtzJgUq59Rn9XRQwrrjSq3yQA9XkTyhkd1KA4rPY ZO/Hgfd3DTAce0uBlaHe1LJyDpTsYvfo76DA/JsU7WNKm7Ay6pD6QBsFRotZ IivlNmN05oNrvxsp4Kq8uEl1EyfaLnsbWpRQwOpjdIGAGCduYHmmNFdMAY1o Pn0GZU5UtdzpkldEAcYvKt6v93JiXtu3vJU7FLid4Nbuk8aJM4wK4Y9uUeDL eHdUsTAXTo4JpWhnUKD1mrNYigIXslpL/f55lQKlJpNVwfpcuLPpS1Z2GgUu 3mD/bu7IhfnFbA0MKRQQsTY0GrnNhV9U1u19GUeBIyUPVqW3c2MLW8BlXwoF 0E4/g12XG1+VhJrLhlNgG+N/Sr93c6N9pq9V/yUKLBwddmjx4cZuwVIpiwsU SGcXfeJUzo3Gbk5MskHEfjXFB8xbiPVz5aOfAoj+XbTGlLu4sdCTgzPdn+j3 8QGh1RlutPv0dDuzHwW6PGODbmjxIKdjWhLNhwJ1JAHOSAsefG6RlXrHm+i/ peCutz0P6tgb9zl5UeCcUPM73VAe7HDeqvbOnQL2rTanpeN5UD5dwSjZjQIG 5/qZ2G/yYJVrUIbVKQpwts9r9DXyYJuqG+u/LsT5/SNfNr/hwU1CWbJhzsQ8 JXlOFn3lwZhjvlF6J4h5vsr9mzTNg9un2OT/OBLzDFZKDdrAiz94Lo2LXif6 3fpkuxMvLzKkqKtodRPv51uLFrOtvOhjt+vKJ4VIOHWh94iyJi+m3Y1J7y6K Amt51ymSGS8uCDYtfNsbA4tX/B9/suVFkSKT1THmWCj8FRmZf4oXrZRrk19N XgHbfel7vAJ4cSaStVSVNwEYH94RVIviRQf+oJtnyElQQaoZWrjKi2NnyT5q 2cngGPz8fmMBL5IKjwaxKqQCR39vYFQVL/bk/s3e8ScN6sijBtbPeJFaFPbU mTsD3G8tsPP2EPmc+WNJV64BHyPru75vvLjr9b4wjrBsaDklmHtrhheb2AJ6 1dlzwbdN3tOdkQ9ZDTbvsDO6DWIKOhrKvHw4+88jhxvcBfBfguXKrDQfhlyo onE8LoSgKfsXT9T5cIzhAfNo4X2QPeiVQjXiw+aS8xu8dldAd/U/xywP8OG+ EeFdh71qIFwwTpbLhQ/vTixK155uBKXQ7Mnec3zoBT0qtcat0P+5pO4mhQ83 q3uxjV18A7EG9RGuKXzIVPWiLuX6e9DKf2WjcJsPu4yXB1cvfIXhjZ8Ffpfz YWf6Vu/6qGFI9fg1WNvMhx9pD/Fjwg/AlyslYW/5MLFq+Yfi9Z/wS2lLoNlX PpRuZ/zRvWEMspPFDTZP8eG7+Hj/BvMxsJxRZu9hIOGZToV28qUxWLDFnuuc JNRJq5nSKhmDgtq9Oc4SJFwc8KYKdo7BfpETHvIqJCy2M64Jmh4Dhktn1SeB hGpf93UFbKZB6dfw5eo9JBR+Z7NjRJYGR41Tnl9wJKHbz1kxDz0asNy9nWx8 hoTqNyjFgXtoUM1aeZT9Eon4nr2I9XOiwUnvp1s7E0j4Y0M1qfgMDbhed01k 3iThUNQgo/0FGjSofqt1LCXhugDH/6ov08A7bYYq20DCoDMPpcbSaCA0z2gz /oqEBR+bXgjl0OD5ET6Bh59IaKMtteBSSIPzT7YOhoyTUCM7zXugjAZS4pol Bssk/MwppX3nEQ3ehJsGsGzix5Y2Sc8XjTS4+M0WX4vwo8qQWMzhVhp8KArs PqbHjwHCIpdm3tIgiiPmprQVP+6ReC4r1EsDjTOZ7j+PEusjNN/1f6TB4NtC tXIvfoxhSN5rMkCDJI3apcB/+NEqzN716DcakDPaWslX+NGv/iun7CgNxv58 SGK6zo91WgkZ98ZoYNq4KJNax49RLfm7lqdoMCPJPnGknR/12grWdc3Q4FaE cK1EHz+mn1aQC5yngc3IDurID35UrOs7N/6HBksWetalf/gxWS/CTnuJBsUl Vvz+rAJYpBK54rBCg8NbHL7qCgrgwaovJscZxqGi+4J/m5YA/tjbz760YRwK I086D1oIYJ2B8O9GpnG4qbl7z197Acxnf2J+knkc0kZU9Xi9BZAj2vnoGMs4 xGYKyCteEMA8x9QTh9nGIcxilc80QQBjFKhHi9nHIWDx+3rHHAHkPe4oMswx Di7HKvuTmgVwd+XzOLEt42C/KautqFMAT0QVaYpxjsPehrDqliEBvLJlZy4H 1ziYnnHL+zgjgCeroxnGCOtJ2CTNMAlix+C9gDrucVB7q3FhE78gHjZt3RTK Mw7bKMKestsEUf9B8WMV3nHg/TZqZGcpiNdIw30BfOPAdvW1ytmjguiQTx1k JY0Dg2m1aKy3IE6ltKilEp6by2bLuyCIB3w++vPwjwPtLnX+cYIgZkf5Eo9t HAbtPL915whiXbuG0l/C71n3vR0vE0T/kLanLgLj8MxL7J54lyDq9h95JSE4 Dk9EmDK1vgli1WSfXADhildjEftmBdEpzGXiGeHCi51nPTcK4SaTN2GcQsS8 lWuPU/mF0PL9j122hNMGcnZnbxPC2pB7zhmEY5OjtKq0hdCRa/v+bsIBvw9w jxwVQqG5N4mGwuPgna+zuuothE171zudJ+x8SJImcFEIL2dlz94mbLeR5YNq ohAqvG6M7CBsU/PrmWWuEB4JPmI0T9jYvafCpVwIFa/LOYqKjIOO4JOc0BYh rIxbv86AsNw/l4NLvwlhzMTOyHDCYgq+p57PCmHiOpUHNwnzfrI9MLBRGO9s Sp6rJcyWoI9/+IVRu9/3ny7CDCCjyC0vjD6QYT9GeG6CTWiHjjDmz4c/WCdK zDt3aqPxbmFkenI5lUT4/frGAX8fYWTZoe6hR7ijsuBVwkVh7E1QjLAm/O/J uLq7icL49GdPpAPhOj6/u025wuiWFxPmTbi89Ujah3JhdJrmp4YQLgzE8OkW YXwi9+dmNOGb2+ROs3cLo+itpqFUwrGxM2b6c8I4YnlLsJhwmO5HDVtmEZRz HN36kHAArVnyjIAIaqc3Xakn7H2jcHOMvAimZ9XZthJ2tkn8m6sjgiXB55M7 CNut+o/W7hZBmW9/jN4Rtik71tN5jMhbrAv8RFiXe/sDxksiOPsllPqT3t86 +7ZXiSKov01lzyRhp6nLQ+m5Iji1FFs/S3h6oHbZsVwEY0XLuxYJR7z5wS/f IoI1lfEZq4RJTYJq050ieLmhfjOj2DgUPbCwejwkglw8vvoshDsSisKsmUTx A4Nd9xbCThc/ZJFIoqh3ZMiYh/C0D2vVF1lR5D6TfIFEOMJB+3XhLlE8KzsZ LkiY39rjx1lzUeSx339IhHCx3rUNukdEcbPZ9KIYYT2FNlFGT1Fsu/vXX5Ke zy6/P/2KKD4R0Z3dSs9ftPN2zBZFgeGRFTl6/s+YqG33RTEpDUblCZP6HuVO 1YtiqatXxQ76+dtG6+o6RFGsz8NRkZ5fK9BD/SJKfO/9ppTo/RSaT1hNiqJR 3RVPFXp+dKH0Fy4x5ByS5len5we+1y+UEsPL9tnWGvR8Nxa7s+pimFie77uT cKGt1jkdYzGs3CgXrklY19Q9bsMhMbQjK4btoufvzLzz0lUMr6s+Pa1F72fr i6arAWI4W+Rqo03PZ9w2K5cphuGl67/r0PNnDm+ZKhRDyuGkG7r0/KFo+bpa MSx7nGepR1inq8aI2i6GwoqpNLpftYw4WH0Uw/2Ueao+Pb+CP4iPJoa/FVO4 yPR+bpmlfF4Sw/TbMul0k8LvtvqKiWNU4pcooOf79g5oK4sjl92GGbp1nZj/ rkdx3HvK3h7p59+zi+/lXnEMq/Coo9sJ3JSvnhBH2+rrvAb0fKUMi+PnxLEj ZcWd7gix5y5yVHGcfDFVQ3fRsmxmbb44vmRSMzOkz3/ctoJSJY55+UYxdHf0 R73c3SqOjE/xGd1OL6uHeXvF8Y6i8wrd04+HGT6PiGNCw1d1I8KR90jCdxfE 8emeP650x1nnCT1ilMBz0cNpdIvpd2mE8xFu4PtJ94jGWPN3UQlkFajkNCZc prBhj6WsBGbZDGvQHSwj3F+qJIEO/zXZ0m0oou7Bs0sC9YvsA+hm5909FwgS qMU0kEp3N7sLtd9MAi2WQh/Q7fY35UaBnQTeUC79SneaDe1psJMEJoQLzdPd dMvkp7W7BP65eozdhDBt5ianlK8E6jWYiNEtYL6gORcogdMKv5TpNr6+z6H9 kgRGmJ9Hun1/FVNvRkvgscC5PXS/SHN4Y5ohgdRCd2+6Z0aq54RyJDA/8Gow 3RK6nKITdySQIUMgim6rBA+jp6USeEinLZnuoK8tHhnVEmiYXJNNd76GSJJX gwQW3p29Q/ebaP9qaJVA18tXy+iWV9q2YbRHAp0/G7bQbRseLv/kkwQ6eZxv p5vS3bcn6bsEMrHrdtJdKqcRcHJcAi2ZYz7Q3RcSn601K4Fqki4DdG/sGG7h WJbAGJXuYbrVJPHHAKMkCmwaotEd+3x652VewvF/5umuFrI65iAiiSPvOZfp HvQpoKjKSOLHHV/WmRLe3LxSyKQgiYrTJzfSrcNr9/qDuiTqrhaw0X3KrXz2 vq4kusre2Ux3Sh2bCMVIEjl0PbjpHnOqd99+QBKtQ8wE6RZ4SEpcsZdECWlP EbqNmX2rOp0lcZOTvTjdvvZtH+94SuJBkpAU3dn3pdb/c04SzYzvy9D9giF0 254QSVQf5Zeje+ZAj400RRI9GI7L0221GH39v2RJnIqKU6Q7P1dn1O8WkReM qnQvmY5riJRLYvu7vRp0HxzPCf+3SRLj2j9r0n0/dX+H9xtJbJPi0qb7+ECN W/2EJLpor+itzUNRdN3mLVLY8d9JpLshmJJ1XEkKnbe6G9J9pnVE/YG1FDot bTOmezqTfTozWQr3enaY0R3gpVxG6ZHCh+ccLOn+o3/gtLegNJLv7bSiO5Qz UMHWgTCngTXd1KqGQvnv0phg0bHmWPuNW5e9ZfCbt+aa5zibTTI8t6LtoJEN 3S7P/zml6i6LI6Fpa05xaz/a4SSHLGYma25mFtzndWQbthSdW6sPjnvpt91N HhM/s67dV+UKS/9xfjtmfchas/l6x6/XfXegSOKtNTv+1lew8VbAw2M31szQ Fp4vdUERt8+dW3PuzWci8/FKePOo/JrXH7/h0XFNGb09Pq/tV5Gg87Fzvwpy uDj+/3wyT/gevVbBEaEDa/ar0997w0oV87Y4rTmz5ewtnm5VnObOXHNDe8H0 5aNqeMzk+pp5Lk/0/vmghmEmkWt2N9Ou97BTR2612P/vH7Sz1vOrOm41paz5 eqFqlZenBm5c779mUkeg8K9JDdR1DFpz0u/6cN/AnTgmfGrNOq8FQ2kzOzFi bPuavxf7B7if08QreQNr/XQvUKP9FzVRipS95qemKZkUyi7cykpd86Bltf7l dVrYzPpgzQx7+gYTw7Qw6fbO/8/P3Hyaf1kLSxzurXkVq9flBmtjY3jnmo1K 3snVMujg0sumNUfzz1t3RuvgZ4XENf/VUmT5zqSLq5//P88z9i4t81Rd9Omx WPO2X7tTr3Po4fQHzzUPhGuchKt6yGh8Zc0hbG45J4X1se4J9f/zTL3Wd/mW Pm7VjVhz622vhLdN+iiy+v/5BVXoGwoO6GNZevia99XJitRP6GOn+P+9vWXL nNOqPmo3h61ZgjGWZrGBjLLvTjS+9qQByZRxSI2ZjAZH+CIXfv0EjpiLH4TZ ybjvW0HNhvBR2NC+8JpxCxmX77zpITV+g0V2v9ZxbjK+bB0VrfT6ApPW40/e kciYfZ/2Z+VdNwwnulU2CpFxx+GS2CHN/6D/7deiQjEynma9ffBD9TPo5DmW myxFxuuh3I3at5/Ci0Pv0kNkiXqt535/zVqgIWNvvMt2Ij97pXtWvRmqPrRT rZTISOPYapVl3QQlwiYhO9XIqKYc+3OGqxFuOzT6immSUb+wq6/8ST1k5mi7 MeuQ8b1UqO3tpCeQ8LXSYVKfjF0rVVt/Rz6GCGmlgx8MyDhfknepLb0OQlwL LVtMyLjpTYNgYUMt+N6VMrhnQcbcR4p67IuPwO1H9q40azIG5vnlyJo+guM7 +JUu7CPjavEXnZrcGjjokyxz6hAZtfD1/CBzDeBUJJeWA7H/y+Uy+bkq0FRn YJE8Qcb17GTxkZAqUPAPWWF1JWPj0pNyH+YqEPxzeuyjN1E/7n6wTeMhcOr+ +PqvLxnPbPP4x667EjZecHl//zwZWQ2vBogEV8I0g92zS6FkfP1mxDXsTQWM GnY+dg8jI5w8eNSRUgFfIqwq9kWQsf2OROD4rgp4yWKQIx1Hxn5/gcKVknJo sXx8lSOJjH18HrrM3uXwKG5n3GwqGY8OZWx9oVgOBZzbg59fJ6NQ9wRP3aMy UBo+ssCYS8ZtzM83sF0og+rHlwMN88mYt0ki+7lRGbSe+uFfX0Lslydg+O7B A7DRE5xdLCNjb8tDPR7LB9DLZXFeq4p4vjwx8hyjpTD6pPBcZT0Z51zrhPcr lYJvyvupyWYyqiZlRui8uw9/3FjOKrWSkdu5L5s3/D6w8bifKeogozXn56Sl zyWg4CHnnfOFyM/K03lTcw8ekg+P9Q+RUfNTvNkJv3ugzxvtKTRKPB8rquOQ yj2waRx2vzpJxsrIl5ccy4vhDN8d1yvrAGVk2HRYWotg4WfPtxdMgCy2ej3f E4ogrInp5EY2QAXmZ0ziR4ogycvVOZwbMMBxOdhnqhAqmmUcA6UBH1ccOyim Ugg6GQc/P5QD9FF9eStofSE89Y5wmN4BKL3ni/vbnrvQzf/tqI8GoOo6MV/7 S3dhzifPzsUE8K2xg/1w/x24aNTVm2sBeCr85LhV9R1gFtxw+LM14KcNO6zO J90BgX+dDx2xBfz7tIhh3PQOaAtJ7d/jBng6Z8r/x+MCaJnY9zbOC/CIpGBy TVYBWD4L39t+BvCb5v1u4ZACsPf9amMSBBgeK1ZyVacAQltzd+teBiwwM6/8 3JwPTefETeTuAW6x2rG7cTgPFmcnkkQeACpP5dJGOvJAI7ipn6uSqD9odcC1 Jg8KL504v1QH6Kkb9c32ch4kxeXlvW0HLGf7aDuokgeOd+TWh/4ErIv4r1cl /jZkyi9Yn/0FWA9ujz4G34bOkhfXTk0Dusr5UVtO3QbTSg/VfYuAAjd4lMHg NvAPHFLhYUL0ybV72r1wC1ZpGY6jvIhqg6eM4s/egmylMKYhEqLtcHRm4Ilb oOXrfu+TAGKI+nuehH234NxvrXni7xyaCRV76qndguE/HxLqZRDre/juXZ7N hY6NIg0pGojzqdu+21Bz4aZEroj+QcSX4z8/s5zJgc2xqi8UbRGnZ8OkJw/n wKXfLX5idogikcqMbAY54NT6vX31KKL23syKTp4ckPLeEdzigmi89Dgp//FN uFNT3WPmh1gX7Rv+mOcmlNq8Stifghi/T0r57ddsEHt0XMcoDbE3mFNs6HU2 JEpOfldPR9SUkpYlNWSD7wy3Pl8WYnSF9+bPWdmglmU31nsL8dPtqIWxQ9lQ /X3IzKEcsfpvV3vJ2+tQH7rI4P4G0fylUkDEpyyYezA8SelEXP03rbrvVRao DHUO3OhGPP/vFX6rhizIt7jX1PUe8eLi8emLOVkQSzoWBl8RR5+z/hV3yQLb svpV0jSiOIdZMNvENZgYClt5xmOAtzM9qlr4r8E2fp9fA3wGuFF9onaZ7Ro4 Wx75/JffAI3Ko1WsVjLhXZlqg6qIAfF+GZyX+p4JTy4MXrghY4BlFqOvSisz IYbfePn8TgOcXKgqljmYCZK7mZekDxvgvKgH5/FbGaDRY9QpdMQAv8xFu3hk ZICpY1gh11EDXP/fpEl4fAZ4+v05uHrcAOWY9mm9C86Ah9fH7vedMsD9Bh2d XAeI9bTXjskBBribV3v+MTOxPj7z6cpVA4xLyGbQD06HUP6ea7MZBlgSLjx7 zzcdEm5x+dKuGWBtzJkCGfd0qKyKFem7YYAiZZtZ1Q+nw9KnUP+qAgMcY5v8 1bwzHRKVTsh5VxngI/eukMyZq/DwtfyVD90GWB1xveFR0FVIkm4uWHxngCz2 wfo5vlfBK9CuSfiDAXZrWfQnuF8FKfHoWYdPBmi3WKp52e4qJJ7+5jj43QAb CoMSRrWuguemHI2xOQNMpO0uMP6bBhK7eT8vCRjidZNKZeaoNIhrXVGRcDBE c+9bC1/KUgHPDquKOhriIfXxXtZ7qTAj3KEmdMIQky9RR7QKUuHY2RsavK6G aCbtEHDnWiooiuhpsfgY4m85C+cGSip0nA2GyVBDDPrh97zvUCpwis5YN2Ub oudp7fiM1RRI9fvh6dRviL1GZWxtjikgZBpy9sBnQ2Q+uxoqdTQFbguwB5kO GKKeyemQS7YpUFGvEKnwzRD5PHgXjKxT4A2zb87CmCFmPX3lNqeTApuz57qS /hqioqPFw2VSCsT8u0G/WcgI602zTwe/TYZQPrEtUkeM8M3pR9mH9yTDq3JW ezhqhJOOna3iu5NBzGY2/5iDEVrFvWUaM02GxqiXOhknjDC2ZL4ylpwM6xdC TnF4GmFtZqjLL8VkiO7rrZ8LMcKlTLs0o03JkJKT7P1fthGaPhVQ3tyRBEXy TO3nB4wQLLuu+R9Ogo0z6wSbjxtjwJ7+zeIyiXBXpfzizRFjfHHl7MEb5fEg 71xss+xjgonaC56jfnHw0aK24tCYCYqRz9p1e1+BzrwQRfAzRQ+xfNkQn1hY qNynJzVtis8PjBVlp1+G1UfnqqJOm6HXve4j99/FwG4VU5PQWTM8M2rE6yoQ A88dlD28/MzxjNCnXV7+0RC93J439tccn2R470vrjIKDaYKzfwkbtS3eDics scPdlGPJHJWyqmdOE66zY/qhQDhCsibTgjCtEpROEy7483Fw5W0U7PV8+GiS MJtX9SUPwkK9N17NLpvjZsXHH8lvomDYhya2ccUcOz4wqCsQrmTU9SURrnQ6 HytI2ErtPfcuwrsZv2vPvI6CS/HcdkGEud/RsooIfzOKHlwkfBQyXXkJl/X1 qLOvmuMnzyeN6whfOCsTKUx4OH6z0ERHFJBymuX0CP9s1nvdRthi8a/3BcLC fM26l+j3ky0b4gmbqRzK8CY8KHdty03CJfv4fx8hHHpIs6KBcGDp1nsahM1p ERteE44bP8ssRZiP2nXwC2EVHZrLFnq9oNSdCcK66WlNS6+ioLTMd36VcOQG L9GfhP8HNQGc+A== "]]}}, {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwl12k4VG0YB3AVUirCDAZjBtkSWRJinltkX5KURISySySUfUkSikqrtJC8 UiIiylLEa0tSYuzraxuylPU9Z/o01+861/N/7vt/5suhOp45dGo9CwvLlXUs LPivWNLKkzRyHo2+YzsmBirikBH1ck1CTdsmDR5grgjMfSrt+hA12E80a6xj oOrdZ13YXV8i8/nMKv/1DPT5aovBnMsHxKP4WHCMlYFqNaKKx12akOpQZvzX TQxUd73j7IhLN/LlfnfjHi8DGZVtNBtymULGvvqfOKQYqGGr6iZWOxaY3qTv nHCQgfYnHSh/Zs4BcyquN++dZ6Bwo4LnLd4cUMPtGK4QwEDv2cRTVhI4oLPQ 9mQVZo1gltOW9RzwSdOObSyQgZTd3nGuGWwCI7nab+oXGUhCR/Hokf2bwT9I 8+63MAZiXxCeZN2zBdSvp5exxTGQ7uv47wqHt0DI/XjP25gjvRbLbfy2wGfJ ou07rzDQav/3lFd5W6DZ/wftYDwDLTQnq9vKb4V52QiJuwkMNJLNEZMvtQ34 vh0SlUtmoFMKi1sVt3KDQNoy3eAeA5l0xGYIkLkhqawxZwizSixBi0WBG6Ii fXyi7zMQa/duz6aD3KBft6vtwwMGepzoUud1gxv4pn4KqaYzUPdE66Vsoe3A NaeTTMnA+r/jSE6W2w6bv2i8LMOce4DxJkhrO8zqiVfYZDJQ6APOQQP77VBk /7XqxjMGEjbdrzP8eDvUdv3W5chmoGM5L9fEZXmgpveB2kQuA4G1VirnPh4w jxzMiHvJQNKs/8r/MuYBbXUDDslXDPT7+JBdpRcPhBu65ZzIY6BbnCKlDnk8 gBIcfZvysfuKsi0NKnlg9MK/lz0KsP2d1MYUvvKAupbzjY1vsH3fWZLWZnmg jX1nPCpkoK/uVwIfqPGC+Qbphdy3DFRCFOCOMeQFdxHVIqNibP/KjGeeNryw dT7CcwizL6mibV8wL8jzdxaKvGMgm2ozb/EEXmj+M2lcjFnbt5ONM40XUJNB 2+FSBuKuW1D5+YEX+Dx+1sWXYfP7x9RXNPNCwnHiHqn3WJ9UXufnvbwwV/Xo RiXm6ob0pWszvPC4KnTU7gPWZ5B8SuAGPghxyx1keYLtu6NU1oGPDwq5uUdM BbF9vxhW6u/gg6QAvQVN6SlkKnNqmqjPB1YnWRv8dk2gxXj/d/QjfBDRLK13 2GQcZU3GxDw9zQfchi1pO3zHEGtBpqDSJT44FVQW1fJlFL0mFvX/vskHF7Pn 3c05R5F9UM2LDxl8sNmo4daa0QgqoY1om37iA6qVybGjnUPI9dFvTr5vfGCA Yv8U7BpCBNZNbT8H+OBPxYJyfvQg8qmVcXdlJUDId2LDLp0BRJbTUFHgI8C0 V8Pm+Ox+9G+i0eqcOAEqtR84WPD3I8nDHslROgRgvad75da6PtRaeNHWyJIA Rnej5avCelGE4FXJ7U4ESLQoyGdh60XywfcZ330JYCWTULKc3IM6u3JK0iIJ kHVh238v5XrQFe2y6FPJBIh08XfjfdGN1J42mMk9JoDM/u/dzrLdaIi9S+BX HgEuybD0X2/tQiluk33FFQRQTOFwSXjUhaB+NSf8CwGW+6TOsYZ1oUl5rgD9 XgJct2bXT3TsQvevi2pvmyaA0Gmn2SDDLmQ0q8D5jYUI1l4nA9crd6HfR+Db PW4irBX05ReTu1BG8cGHjhQikGbMJs22dKFDwifdZHYTYen9NVLUEh2xhJ1V ZiAieGQWhomP01Fub8RKoTkR7lXKerF30dFx3eSaEHsixJgHcmz6Qkcczx5f 1z1DBInXPz5t/URHhZvyj3OGESHH5JbZUjEdOXtW7WhJJMKJ0d5X717S0fam r1O304igKDdRvi+TjjxvzEZJvifC14uWzuo36Yi0wGo20UAE8tl/au4m0FHN MYJAAZ0Io8mrg5GX6Ohc6Y6+CxNEiG5e3T4cRkdioqo52itEuN+R8bwsiI6a I/TOc2zlhxVBq7kVPzoKHTgCTcL8YHj8AGe6Nx21Pw9otdXkh95tqs4TznR0 acvlNHETftgk6cZ11YGOVM7cdv3vOD+kv3dX8bOlo74vWUp5HvzwqdK48oE1 HV1TKV4OuMgPyj3FXBut6IiWWltNi+eHuReLzdkWdDT2p/0a2z1+SL0oyBVj Rkd6HxYlUkr4IcJUIL3RgI5mqZxTx+rw89wee/Xo6FG0UDHlJz8IrfdPrdWh I7PhnVHDo/zgfFn9bKQ2HS0baprm/uEHkzfe/vaIjrJzTPj9NwlAYqqu2Qkt OjrKZde7T1AAbhL8m4L30dHr1hD/WjUBKItTa+NWo6OsGGfHPkMBSGZ9Guqo SkdpqsbmSzYCUPX4ZEqzCh3dGFbU5PMUgB6zMrVjynR05baAzK4QAWzenFuL inQUbrhG0EsUgDe5rSz5u+no/OLgevuHAkDIrBgLV6AjJ9v8zmsVAlBwrvb2 0V10ZLP1bu3zFgGwWSuutJOjo4Pvwwsr+wXA6rqo1rmdWB9nXJ50zAqA9weT X3dk6UiTYnZtlk0QrD8L9DfI0JHSF5WQrfyCMHv1phAXZulIIXdJaUFgVRQt tZWmI76BER1rI0F4tduChSRFR5tvNu0+e1wQgqdrZC9LYv9fvUKRK56CYM5F qlvbQUfz8/c3PwkRhPLQBRSOefxZ1MK7REGoZHP9zYG5z9p9oPWhICwme7vd kaCjH5ssvky8EoQ7B/l5FDF/8iD/I/pVEKKaknafE6ejUmG222oDgnA+dKKe jPl1w1i0xZwglH0cG28Uw/oObTnrzk4C++5ZlWjMaQrFJ6L4SXDa0dmchvlG z0Pj+9Ik2HxKcXyZivV9/ZLaG3USvJZOKP+A+fwvS57h4yRg+1m9fBCz51ON tTVPEhzh0R8iY3a0oo4LhJIg7Gf3JgaFjqzZOdoVk0hQuklE6SNms6LJT0bp JPiqobnrHmZd12+vnfJIoMkXV38Os4Zg6cPgShL09poMHMQsdTEuKHeABGs6 dzq5MJPlfE7XzJHA642G34wo1jf9iGUPuxCoix+fbMO8OVEL/vALwaWGd/Jl mFmQxC4eGSEoNF3Pn4F5fmozaaeGEHzz5ruaiHk8fZpd11gILAS0zwVh/rH+ Q4+/lxCQNpjRLDE35mc0JIYKwUYux3ltzB+dr5Y8SxICEfV1dYqYSwh+z8rT hcA+ajVTDHNe9bEb7XlCEN8mFcqHOSsAImYqheCjybTWRsxp0lLenK1CcO1t e9siGev3yqy+1rwQPPLoOTmAOXxfh8qRjcKQVP9c7Sfm8+MV1DMCwjCQFlnU jNnzQda2yzLCMJT8uaUGs6NZ0lK6hjDs3VYf9gGz9Zr/SLGxMLyIcC0swmz2 yvZbi60wXPAie73CvI9H9iVrmDCwanJrPMHcuM6mtiFJGJr3VNk+wOwwHdd/ Kx27b/E7PRXzTE/xin2eMDgdEH6bjDm6eZRfplIYXrKmDiZgJpYLKs20CMPl y2kOcZifvzQ0edcvDJNcCxIxeH7i83BTNhE4TvA5H4Lnh7bfJRJF4Gmg5FIQ nu+16U23pAjkpju+PY/n26k3Ze0VAZXquGw/zPymbqNnDUTAZ1Wr0Qdztuad DfuOiUBJhCbFG7OmXK0Iq7sIcLtZPPDA8zllDt2KFwHi02ouFzx/0drT/r4I zJdnrjnj+f9dviT9QgRS7A24nfD5f75Nny4TgbQqdziJz187UlLSKAJtN9kT 7fH8YoFvUd0i4CdBn7fD98kymDJhiECs+XSgLZ4fmyXevZ0Mr/wGqo7h+QE/ tLLEyHD5TE2cNZ7vwmF9VpkMG7sPOR3FnHVEzVdDlwwSHvbmR/D3oed6dYMV GQp4O0ys8Pw9tzPrT5EhMCvf5jC+z47P5TfPk0G3oyXAEs9nlZ6Tuk2GJTaV Tgs8f/Yo13QW5vECKu6s/liZkmIyHLCd9D2IWeNrkU5UHRnSPxo2mWNuqBy2 M+kgg1O1sCpuh9f8gYRxMkTLZmWa4fs80k/uWibDXLEcBTcx4lm1D1kUVDra d5ri+T7fe9QVRCH7mUmZCT6/w8al9SAKgZzlVrgbzfcS6g+KAnt5+qwxno9c FG6eFIWcdJ87uGfkUw1P+IpC+6+NurijyTVOUlGiIHxw26wR3v+K5O3ip6Lw JmLYEbfmxJHXkW9EYaWWlYq7sfNSvXG1KNip6vUb4vn1hUN830XhTLv3c9wz 74ZYuoZFoXe7th/umH+IQs9+i8IJWhjgvmr6hPSWlQJb26e4cZO1vqpEECgg 7vi8xADzsMpYxaAIBVoiklNwv5LbYG4kSYGBhklv3EESQp258hSQ8n5mgnu/ sLIb714KCHU8lsPNyWc8H4AoEMFTtA13K6dTVKc+BUg8JTP6mF2Wkh9kWFNg 3GHgA+4bZuNVQQ4UuPxqXzbu8kcH/jN1pUD7oeqbuMdn07jFfCiwRSsrEreA wW/V+QAK1B+r9cGte8/Cri6MAvcttjjg9pnMjkqLpcBqveVB3J9v2DXrpVIg inFBGffscOE86SEFckZFJXFT9nGLTGVSQPmnryBuk0Q3napcCnS8vrcVd2Bv pVtqIQV0W+LW436qInzN4z0Fhstlf+thbo71L0TVFEAbPSdxy8hLbxj5RoHf pTGduI9ERMiU0ilgpqXeijuy9af5tUEKSJRY1+POlVI57zxBgbSoXx9x/7yQ cF9tjgKDVeve42ZvHKrcskKB90kXi3ArUWG0h5UKk0vWebiv1MzsieOjwmkO 0UzchSQTWzthKvC1L6Tj7vPKiFSUoIJ+OOk+7m0Vq1lsclTotrmUiluDz7qp XZkKwzf2puA+7ZI392IfFdxtZJNwJ5dsFo7UocL57zbxuMccylxlLalglXUq GrdAATFp1YYK/4WoReDW3ejzpsWRCm9CaaG4fWxqOzLdqfCwwv8i7vsvxNZf 9KXCFeWfgbhnLb+ZiUdSYeIo6Rxuk8XYe/9ep8LUoa4zuJ+ma4z4PaICUZvs iXtZb0JFOI8Kdo0b3HAfnngY8bGcCnt9vE7jfpFyqNGzmQpK/crOuE/0FLmU TVGhQV7Dgbn/LpF127jEYIz+2Rb3+6DIuyfkxUD9+3sb3Geqh5VfmooB9nqt cQdzB8gdsRMHzchKc2bfNuw7VjwloFy/gel57ooDqe47oNm51Ay3U83F04qu knClyp3pZJe6440OUpCwVMJ0xUZBC49j0rCkd415PuhqvZ+siwyE7FhgPlfc Hn5r9JwsiB5yZtpgvX3vPZ+d0HjJjmn7X1pyZp5y4Kt6kmmW2oinYiG74ErR VabT0z4JLyTIQ5v2d6bXn3jg1nhHARSkxZn3vU7U6Gg5tBu8r6T/nU+ilPC2 aTfcXMxh2q9E6+ADE0V40vGQ6duVZx/xtipCN9WF6fd1GTNxx5WAe9CJad64 qe9/2pXgjtwFpl311cvcrJVhQcH/7/2Be4rde5Uhc08I0/eyFN94uKvAn6dX mCY2BghNMlSgQzOW6Wu/yiJ8AvbAP+/uMK3RJBg8PrsH6nO+MT2Y7X/e1VcV 0ocozH1af0fF+i+qgqblaaar9JJvR0buhX/zwpjuMyrUilunBtNUS6ZZzH/2 JYVjbqn725+BwQz/ihok3LZkeg0K16UHqcPWuZ1M6+S0SRWzaIB/vxbTsfwL pi2xGkDd4cP0ktoujkG2fbC85W+fZ2ycKhei9oHOiUKmpSeNU+5t0QSlyRtM 90SoOKObmnCVdI7pC5tdHjoLacGhkot/+0y58zPukRaYavx19WOPxC/lWnDi QjDTga+19gv2aIHD8N8+LUokhcumtKDCPpRp2UqueYc1Lbj+4a8prFfGDTfQ IEai0aa/A+tbj7VfaSMNXjxa/lhb0IW2XA5tF+KkgZLKeo5/QrvRhrrfTaxc NPBFvKa6Aj1okdOveoKHBobrhj067XsQw3SitI1Igxnxu62l2Pf0UJJL/gcS DSBFoPVmPvZ9/aX3eRaZBo63rr1brutBLby26dfFaDBim+dH7O5Bn63abl2Q pIFb1PnyW9M96E17XZSJPA0UOtlM9Xl7UY7QgQt7lGjQWjYd3SrWix7bffAh q9KAzdypMlexFyX25tsxtGjA/tXSLN20F0WLyx9u16ZB4Gxx4g+bXnThVJZR 5QEaOOiwFj1y6UUuo/f33jClgee68KfbwnsRTMdsV7OjwVVpsQfiL3qRqjIL B/UkDQjns9fKi3qRnP+F1U2naDAsUsorUdmLBP94j3V40iBpXZmjYVsvmmGx /hQWTAPqTE3kyeVelMEtG1RzjwYCAxG/7mv3IfmhY79Z07HziVYTbkZ9qPBd XMD+pzT4t8F+nN+yD1WfHvUvy6FBVm1Wm5BzHxopzfLNL6OBpI/M5d7oPiTn JuX5sBt7P2pXT+2o7EOvKyTsA8QRGLuHCLxU6EcaqYe7CqQQSBk0sPGo9qMq z2i7mZ0I7m8VX3bV7Eet/APHvVQQlJws2Dxr0I/mvZ5YOx1AoNN1xD7mZD9S J4kdMndBUKD5jvDxWj8q9xU9IPUPAgZPcz99pB8tzk1dE36JwPtujlnNRD9S CSrv3J6P4O7Uma7smX6UFXby3HIJAirLYpnDcj+6dvXJky912H3GTzPjuAaQ fabU+uD/ELS8zFrpVhlAa+Op9iN8AIvk3Tc4gwdQGiVdWOswQIlO3Y/p1QG0 7Yri511HANp5uPaUrx9EYb8q/cjWAEo2pJp49kHkUD1Yt3YcwFh1KoO0bRCJ ee4MqnQC2Pi1dYZfZBBlFhV+0/cDmHb+8eqmxiDKNWtIPJQMoMmaYVHhN4jK ghdZXJsB/o1Llv3UPYioxhuXxY9qQ+5YSmVE/hAqaJKJb2/VhlQrQrq+8zC6 Wr26m2K3H2Lt11kj3hGU4jfq7tC5Hz7mHw0/kz2CgglkLrFjOnBNMumo955R 9FyGre5cjw5UhiyMplWNIvbZdYIVJ3TBYMroVZj2f+jZ7rzQtGFdCLylERZT 9R+Sccw2W/E6AEauAavxWmOow7D4tdXYAbAtE86ayR5DLU8u7EJ+etB5/FDK AZFx9DvfQlNsRg/WbW0xtY8eR2tvfd9c8tYHr86ZXNuhcWS8W+9A8Jw+sHyv Gr5kOoFq7BTcPPwMICJj1IDwzwSKXal7MrZkAMcsppSrt06iwzcE55YwW+kq ff+CmbLTVW/LsgH4lHpcoGMusWYblcOcoVFZPot5PB/Je2M+eGrFRHzbJDro XvCWgXmTZI5TOGbS9wcNcysGsDo8EqfBNYmGvMbJ7KsGQPy6tFMPcz7rPh8i 5r1qbI0WmE2UfvDsxax0Zmm7G+awBB7rQMyWl/zvpGIe0IntW8T8mDM9cxbz q5/flDnXDCDfi2TAwj2JQs5KxAhh1taNH+XETHxYIaWJ2c/0oJw4ZsPFJc8Q zEHVLnkW+PPrRu8TMFdU3jxkh7lP6g5XGuby3SW/XDEHW6m+fo85ymFoTzhm g/HoDU2Yb1In2+IxE6K+Hu7GvHxoPCAVPy8oljmF+cRsj8ATzLmvfBbWMDuz 1RfnYv4f1sQlTw== "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"S (scaled), e[t], R[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, GridLines->{{0, 50}, {{0.2, Dashing[{Small, Small}]}, {0.4, { RGBColor[1, 0.5, 0], Dashing[{Small, Small}], Thickness[Large]}}, {0.6, { RGBColor[1, 0.5, 0], Dashing[{Small, Small}], Thickness[Large]}}, {0.8, Dashing[{Small, Small}]}, {1., Dashing[{Small, Small}]}}}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 50}, {0, 1.1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417784227402596*^9, 3.417784273178906*^9}, 3.417784316954727*^9, 3.417784396389387*^9, 3.41778444038244*^9, 3.417784928486783*^9, {3.417784971117799*^9, 3.417784989366884*^9}, 3.417837575579374*^9, {3.417837658850688*^9, 3.417837668876115*^9}}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXQd8FcXWH25LKCGA0qRIkaaABVBBUBCpoUnxSVAU+aSoVEGBR43wQhd4 GiGAyNPQFPwUUBQVEcGC0jsiIgghlFQgBJLzzX9mdvfeZG/J3hvl+RF+d5md nT3/M2dmzpw5s3u2Y58RA54f1GfEwL59qrQZ3mfogIF9X67SeshwnmUvxJgt grFCdaswpIkx7WD8ReLgnuMto5v4z+5+O+uMo8iymVzt5PNqRxxtyLKbXO0i jg6PPP7X2edNRWSxrp6X8D97XKRcuel50GVhuWTjUUSx5HTP06+J+8UlxZh2 sbOPm4paZrdLILUJtLLeKyQEzRy5L/rgu4t+m83k6uM+hOFLul18MNMpgJZT DJv14Fyw7re7wZp1Nuv91+uQUP3XYMPbWGwbQKVFziZ52sYTjJlwbdzzVf7u cejQq3GIsHC31lUPHiTasYPop5+Ili0jWreuCE5w45YtssjGjaywOPIb33+f aMEComHDiN55hwt01SpWRBZbtcr4aUUWLxbnl+OX1D/+0aYwduhQkmRGpPAr HuK8yD8Bw0IeZWfnCLEXN+mDZnmRAZb7q/LU+G5rcslsbHrkyR/Ioof6zXPJ vGwqVKjRb+9/JoTqvNmV/sSupHTqxYtEp08T7dzJB/6xY8xJdPiwVB3a74cf oCW4ruAN/uGHQj0w2YSrVjmhF5CcPp1o6lTjFxODMmFEr76K+154gahfP/yg sfmR3/LEE0Q9emg/yU7nzuFEjz2GW1q0IGrQAD+cyeO992o1YcVkZ+0u/lOK Lz7eUFcjRxJNmxYu2OV3fvYZqiCqUUQcnVCGsoJff0307rtEW7eCLa4ow4y8 b74RZS4vWHwtx+H43/SW7Vhtk7bsZpLX1aR9H5LsEl24QHTuHEQuf9DX27bZ NDmvXStrsWwZ5MVF7JRi/ec/IVH5e/llQ5ZPPinl+PjjQnxCGs2b24Tc+K13 301UrZrxK18eTVqyJKCcTn1U1pKjkqhECVzVSshj2bLa/YDlR5531116Gzm1 Nnr0UbAg2HBpbdm+PVHXrkI6Ee7t5tkxa8mOSampmVMvPD8om2y2Mke3HqgV hLwlSc7b2bNEBw4Q/ec/RHPmEK1YoQTL+9Ho0VKggwcT9ekjBdmqFdHDD8va 1aolaw6JFC1aUhNSWJguJCkQLtK6dXWBMGGc8Po7ZLNoXf255+yi1fhxwACt NVGUH8NlC2uDaNo0orFjiZ56Sk6/y5fbtP780Ud6f9Y7zfbt2qDFmTwePar1 MfDBjzzv+HE57i9exL38yPOuXtWboZr3qcFPqzX4bfVGFHvyj1kL9sjWiMzI uKq3RgWNFnr+6tVES5bA5CCaPJlo6FCi3r2JOnKLsGFDKfESJWCmyF5TqJAU 9+23SzE3aiT7WYcOUq7/8z/SPoFQH3mEaMwY2cJSZGFyTEFkW7dKMe3ZI0Vz /LgUwzOqchMnTsxnve2H9p/JyC5cZPbFZweY1fsWceSNm8PPjxyRrff660QD B8qedscdRC6XGIhQ7RERMgtVhDieflpqUIhp3jyilSuJ3nyTKC5Odupff5UN mpnJRluuBPj+6cpdd3+a0exRVYmSaWmZeiUitaG0bRvRM1xYzz9PdP/9RMWK oQNxqrypSpUievBBqY8wrObOlZr4rbckl1eusKlBcbgqrW2ng1er1VAcluLZ OodFVVGhXFesIPrHP4hKl7ZpFgd6T8uWREOGEM2fT/T990Tnz88Nip/XLz7T PzW7WIQZP+HiyKVy7RrRJ58QdesmtQbIlS8vu/sbb+Aae8sKF06Ni1eSRoxH 0aJHdv7GdpuwEqYd0fOKFpUslCkjR8zmzcQLsvigWOh1ekYcitb8dcN3piw4 xdEFkRN17y5ZKF5cDoLMzMV+0AV4Lsy2JxeuQIHGJ1Z8Yorp0JCxJILicHH8 116DumNLgqpukxPL16Nom5OLVppC2zUGIHHMnWjwn39eGhRqveMfb0bRbn/M e9sU1aahJibKmR3d7dCh/1hGtR04cLbasY3bUTT69My3fKDyGkdHEzkcmGXZ u5Yh7Ryywi+bd6PowMQJ0xVkmDuk/Pv2W9mLxo1j7wUFF3lk+y8oOuTsmMne 4dq1gzohunQpSDgMUxQdlTR8rIJzecLt3y9rNnVqQlBIoI2i6zMebmmONG4c H1u86ZKSQoO0Oq1VlEJyeiJh/N13H1sWNExKdkTx2Av9BnvAYGqlkyel2B59 NEQwbyZH9/GAEX/Q5bh39eoQwFy4HlkyLrnns3lhRo2SCisjwy9Mbu2oET+R Vb6iG3GHQTwqiuiee5YHzT4QFqd0i86LULUqUc+eFhG45eGOkJDaoZsnAuZU qJqxYy0icANNQ4BBkRfhxAnZygsXBo+wJ7NmnbwIsERx34YNoUFYm968tSfC Bx9IhN27Q4OwLqN5K08EWHa478yZ4BG2X6l7T16EmBiJkJUVPMKWyw0ecEOQ 05hYekREsBUFRP7ZZ6H8QkT+i0uNm3mS79KFqH59a+Tt7uSZDQAetLHAatrU L2039eOPIlYH7dqFQBifZTzUHNQ9hYGVYffuISCPZsxLvnJlNGeBkccK5aWX QkR+R+ad9TzJYzIZNSpE5KEOPMnjntjYG5/8x+kt2riTvy01MTmE5KHn3clX STt5NgTknfv3J5qRr55yIlGSnzbNF3np1vfYSsOfyHD4hnbt2+cHOi7OF3QA u1iSuT+fDTNIwZrT7TKnpf3ENXu+U8wVOXbsJNfQoVPY8OGTUYFDV6veAfbt yLDfTIU8xbs6VsypB4+hqQeui4qyBdGAf+eUkIuPDWenyRgx23f3MlRhv2tD 9d7UvYcDGapme5A2yasXhvIFHh8fhCL2Tz4h4cYnvzClx1MFSB6Lzr8P+aZp 3/0cLPnLl7O8kX84bev2EJNPzi4eWYDk4RvRhZO+7aeAyXs4KkJFtIB5Dob8 Bx+EgDx2Q83Jr1sXAvLwpd0kf2OQb5axbXsBkm+fseGrEJO/lmN3FCB5FLdE 3pumCYpoAfP8l5EP80v+q6+CIF94z54zvslv2RIC8uPPDXqlAMlju+Ym+RuD fFTGhi8LkPw/Mj74KGDybprGZUbUdXjvqV2SbnTGyjXBsW2KgP3L/yqEzMxr NxFuLIQRSa9MLFgEbOZ7Rfjxx4JG2LPHv8fB/A0GM2eHdwdIqDjy6jV16Km/ Bt/MheruLqWJTPspT1N+U8xVOHOcs/CeodXYoeGV3etgR4Zy8t1MhTAl3aU9 Vd+oRwOZLYgG/DunhFx8uEsdshDzta3ib4w+eWnVh4FrLf+7KNa1VaCcWNfQ BYRw69HvDhUsQuVjm3ZoOvXSitUFi9Dv8qJ3biIIhCIFjlBs9+7T/x0IHmsP L3SFZmfl7Pv3JxXetetcg9WrLz6walVy3bVrL/aYOze1y5tvpiKv58yZqe3i 41OQfmr6dJFusnx5MtItli5NbpaQINL4v/XixSlIo6xGoyZOmP2Rd98VxZos W5bMOpjkNZV5U7aOW0tnWDnrgizqXuF+iTEztQrjvOqXX54fPXx4xsly5bKv Op057CeIlGvwiWyCfPafl7b0QFE1d1g8E6vBvhEdfTnbZqOcQoXodOnS2Tvr 1Lk2dsiQjKVdulyZ+/TTl7kE0iYPGHBp3ODBGT3mzEmd3rfvpZdffVWkZz/7 7GWkn5k6NQ3pgRMmpD03ZYpI4/+ho0enI42yGo2aOOH9JSZGFHsmNjaNdTDJ ayrzcmyFcqgF+8q6wAub1XzozNG/ocbnS5TIvufDDy+yn2U3zgp3XqfmbBMe /LcGF54HjneX9GJFrn/dqFGWg/fmHRLp/O23ptNTeOL4xAlrSGF5kCawidm2 QnTH559fYDslzKm7Kl6k7ux96zCuPDARLO2XapUy1cg/3rDqOYpi60KE8PyB mCXo9BtbNklRCEea1kykh9nmECGMWz94NRD6LphyTCHsaVv/JDViPwaDkJWV rSHMie/9GRDarF98UCFs79boONVle0OEsHBGj6+B0GjbB3sVwtanHzpKldmJ ECEsG9vhOyA8sH/VtwphU/8WB6kUuxAQgoeOd6O7engrodTwVoCiu3FEqx3k YldDxPn6/o/spkiW4obwyaT2W8XklHn09xAgbHymyT4qz067IayZ03WTQDi7 41QIELY+fu8RqsaOuSEkvPPUpwLh0KbTIUDY3q7ur1SP7XFDiF/Xf41A2Lwq MQQIO1vWOUGN2TY3hGl7Ri8VCEtnnw8BwqH7q56BtnZDeDV9xjwqzlKpf6/0 ECAcu7tSEpSbG8LIy7PmUif2EdWsdi0ECL/VrpBMPdgqA8EhEGazYUJSv/9O liZ8D5DEirdkUDRLyA1ykNUWIPPnhwDkXPmSl2gAeys3CBCqV82mtm1DAJIR UTiLBrF5BohTBxn3SibZxBvhlJ93DzzoX4UBMIrFmtE/dTBNvNDZqpV/+v5r IgTPZ2wDyaUjUUoKleNGZpEi4iVXSy+56GAwnwXRWDbKDWzEldkGGN40Vx0h OLDI7dsl2Fw2+METKz+VYGEcbJ4Ohr/GjYmqVBFvRFh7L0kgRu7c+cdt33xz XlCOYwObnkhYqxDjr/Z/QSKeOSPuW79enr79drCIlTdtkohLWW8DMXxZVq/e EuLUKXEf3u7B27AVKhBdvkyWXi7TQe9ct+6CIJ7Aog1Q+4QrMf/SBKu/0ob3 /5EVE0PWXmnTUet9/PFFQepj1tENNSZz4ms6qnKvihdXw8PFa4vM0rt7OupD fMUlqK9jUb5RHeIdebzA+9BDRNevk6VXFXXgpnyVKAC+Yc28AStPFb33nsya No2YD9RAwvV4fzRQ5yxq/vwUAbeFNfXGmSIjXizHU/O7dxN7xztn+XKV++au U1yc5G4Pq+ebO4d4zxmvldarhzdoaYkFBo3nKUPtwXdljXdE7hxSI3pm+0GC 8cOsJip0g/i7/34p6cHXOkokn3oNDz6/xpPtPunVji/Vc6h/f7JZa9e/X8qf Oz9/Lyro47j/pElpotufZBW9jeMwSUbEAEHWokXE3vY+iL0GZvK72aB4ghNJ YrNI3zw5MAHAzBTa79tvyd/r+V6Ar18XwGOGDcsQANeZvd3J+OV5gHNyVLQE h7BqatSQb1ofPUqLrAFnZ+cAOLZfv0twTqF41Mn5CXmASQRoEMAIlQJQRN44 fZoWBg2cEVHkmi/gIgoYcSggZpio3N6xFIdBB47r2fOyP+CiChjxRCCc1q0R mYMWBA189rZbLvsCLqaAueEolhfoYNycmx8U8HsdO2Ym+gGOUMAIOIO33REG 5NIlshR1QwdO6NAh81iNSpd8AatgW5SQIIGbNSNKTqa4oIA/fOyxzCO1bs/w BRypgPEGMDoXQkBx8/3NoIDXNW9+dW/9Gmm+gEso4C++kIFsEMeHD603/AB7 rCIV3MYmTa7uaHhnSi641zOHjdThSiq4H3+UoxehNn7+mf4dVD23NGiQ9UPj esm+gEspYIRLw/ILoUz42m9eUMDf3X131uZHG17IBTz3ytAROvAtChhh29Cq ThGEjSzFsXHRF9lfDhn/66xTZeucO1y/iQg7sWhNXK+YfjGJM/maaND5ke92 Su3+woTEaSxK5n25fWhbnZlbxRHv68soX8h+6SW5GH3dGkc9s6PJdtVJrN4e KtE+QdCMTmC7CEF37TR1hF1HL63QMVmNVE2D+GNJScRmW0M/y/8d4/9uq3yN urT/Q9A8m/B6DDI5+m7+72v+7ygdZVEqL3nUAJ2jsqpxEDsOKzgsWPkaclb+ mKmjqOB14/49LkjqCQm7ZFEZGcIpVwHllAh27pTTJmIiTJmCgD7EZlhDvYX3 sIFPnDdFjZR6pbxCTU8n6tVLlsQswpeQbLo1VFAe1tsnagVVFLHQMFkigNHH H9M0a4CF+cQ/6oVUX4AVVTURjuXee2VJxBnjvZ3FWkNF1thBKb5QKynUrCwZ RAvzRvXqwgxj/8ofam1FCv4T4bd6NVlDZmbQt6vyiEwBSLu6fPUqscl+oAWy BpiSEhhgFVUe+gMBxVAUkt63j9hr1uqqQf875mJe6EGDdOhqqjzvQWLWwHCd PVuOnEnWoKGShf9sshqzS5ca0IhzpaCrq/LwuCB8A4o2bUq0dy+xidagtWgl i6Yr6Lg4U+gaqvzSpUS33irVCNqDm2FsvDVoBHYTcp533id0TVUeAcCee06a nggSs24dsXHWoLGPHwi0Vh7uPAStRFHEIOPmNvtncNBr307yCS0HvktEWIzl SgNqB3YRQuPxeSufAfs0dKwZhFtviRf0ktIwusutjbT5GeNr0yZio6xBI2wq sj9fk24OjVmLn9VT5RHHFFkoikCY3Bhkr1iD3rxZktmyIcMndH0lc96pxSKn WDFpBL/8sggOOMIaOu+nAaHfo9AxuhG2EVMyIqrOnCkU6fDg0Hd961vs96ny mLPaKkMNS9o1a4gN8wPtocIRF1w4Irf5Bmyoyn/6KdGdd8qiCMDJ5xA2xFpd E6TVRwd/TJOJWbNMoRspSSMYFAJiwhmK4ogJumsXDbKGrrmjT+xT6LGxBjoU l0J/QKHzhaQI1wrfOXQaAhsfOkQvWkOPi/OBjgB7Cr2xQuerSRo/XvZx9DQw yCeDgcGhn/811Se6FsgYkVwRQxJaDSMMMXT5MrO/NXRE5hV+qN99ozdT6Ij3 hrDSqDc4wOzO8563hg7tjOzU0xk+0R9R6Age27evrDd+iDx7/Dj1DQ5d5pqg 15JLlBYKHRM+tAsiPGISR+TiI0eojzX0ESP8oNeT6rylQse+HMJmwQyH9BGi +MABesYauhbpzh96K4WO6JbgGH0efqROnYS6edo7utW9I3cO5YTum0PpQQ4T Ng64gImF4thTmzVLGpfR3tkMZiNJY9WwPUxYxYaWYrWdYhXqC1GFK1aUxWEL w0EHm//J/LH6p0XTQTKuUaPtpyMi0o2KjhmTf1o3UwGlZDPKsJH16rG/lhfh sYfHGgp/X5kyZ9H6f0REpNGMGVx9p6qOd2NITu3QTPQZYie/YxxLZTkbkez6 o0YZY1y2kTiTn/Vx0eefy1h+KApHJaZsPn1pOnliPjabAsjTuIReRNRX8QeV 5IVL9R0m+G2FNwlTATwPWC18/TVpX0gy4dLXpGJoZYU+cqQpuiQfRn/8IaPv ayobyyQEp8/M1L4/lW8WYId6sDBwoCcLWPTzs+6KBXTphQvlPSCHB5eAyC0q +aGk/LMAFMRcFH+omhcWnlAswFOEKPlgHVMrTAtEc+erPhZljQV4ZCUKyV7r hYWeigVEyB8+XC5hQQ5Obrj8MjJI75b5ZAFuBqxNdBaee86UhV6KBcyJixYZ Tj+0HcLGHz5MrLU1FkDitttULjy10dEGC82b6yz0ViwgzD4GA+w79aic+GZC VpZmheWbBXSrjh1VLk46d5Ys2IDeRwFj2QoPMkau1gmxQ/3LL5rxaQk4Olrl op6tW7sBS4M5XHjx8WhZ586y26HW2KhDKH8+CB+2ho3W1rHho37wQUPu4AWy 52fPq+pDDaD62LcCOYwZ9EY8i9XUDwse62fhvO+vimFNWLu2J3CUHE/9VfW5 aShGnvbMkWY2Ys8yPZ0aW6u+cOYPVLlgp2xZUy5eUFyg9fExn9q1JQcwsRHA Fq4Xrhvut8KFS3R+LBfEHz5pgjVDTs5OjZH77tMZGaTaAf0fazvcCopwRyMU MF/3KJeDJS5GjVK589RTlElJOhfopooL5bgQHiT4A/jkyWxQiDwPEyny4DK9 1xoncspWuVqQ5p07zTgZrhoGX21BsHbsNWoqCfKBO443TH3rjEyYoHKxh4qM jz7yYESOHjZCMYIZAr0BvQK9I1fj1LXOSGysysVuAAyASZPMGHlV5WHzCW5s 97bBV6MwYLgRqDyv+dwBtBtbF7FuXzaAwm4m3Q47tDwsyBVLY5RssCiHHOBw Aw04JfAwJz4CwddTNYPjaPZsN47QD+x2T44MXacc6uH03XdyQxZ7ZaABJxUc FfCE85asHhxHcXFuHKEfIXP/fk+O4BvgZxMUR9rXUDC5af0HxbDVtXs3VbXG 0e+/m3AE/xCMmDFjPDmSCpHFKI64YSFcjnCQa5/Dwi4BvhTCjZHK1jjSd2QW 6Vay7Azw/p85w37W8mDnKI6mKI7gVoMrDn5Um03SwfPPcCHzSlXww5HbwxQG H7yGig+H/C4UOmelSkj/pLECpTJcapypihXIEJ4LfOoHZMAOvowFf2tiIpWz Jpx9+wym5EInTH4SCZlwKr34ouRk1y7xiarvNQ7Frq3cuZihOERd4OXXNna0 B3xgM3JBlrbGoba/s3Kl9u0au+y3Xbti+gLX/LYy0kADxzBXID8tDZc/rtlV E2NOdzhkGkLEfiPWYiiLcYB8bUeuTJlG2jfWNJL8rIOW51JfM+Jnd2p50gEi GJ2tBAMhY8rQ5nKgt2kjP+F54QKVCk4w2LaTTwtWELa5WHxD5ngSA99KgcGM T1dh+YHJX0tjFwYeO3RuGJYYdmgvpGHwQMBQWSiL3XbkQ2XVqQPzFU5/+fk0 9EJ8KYyfddDyEP8d6w1+dpeWh40JVYc5SjLoVRAW1DrqApmDDaz3Ll6kSGuS +eEHQzLiyosKDgvbV16Ru50aHPZmsNbjPbSYNThtI06HG6zg8CE4CE2bhdDu MFrw0Stu3xUODo7P/fLiMAWHbxfCpsN8qI0/tC12OLnycVmD0/f6tig4tWuH TXKx4cEtAq7pmXipG9/cg7bGBrrdGp6+u6fhSTOjsFAvsIibNDF0MSSLbr51 K9kmTJjk/6uGBv3vv1f05Vh1iZdqMGy0p215oWs2W3Y+SPIRKS+qXXThAouP p7NFi2YEwhp2aD3oTPAjQo/5RdusC/huL1xodLihGxQdPHolNtBOBEdH34gL ER04cUJBh9teQdGBmg4FHW3D6sqV4Ohg3KrsoOjAKhCPegdAR/hgBRmzD6x7 f4nI7r4R5BfFzIdqhufu6YV17I6HibBA8EK8JWPHdsyZYsXSBaEbxO1+M/X/ L5Vnq8Xs7Zg8ww52Jl8LKYPCIbx/8JbhIRhuKqtFqdjuV/sulkaj3WtehHse Hh8RXwbFw4GaAwxmFdaAsFu/+kruz1ZSFIynE6zpULsqAO0Dxxt8GHB3OByk r8hg0mMhCPs/J0d7Btju9myCNWztjSO4c/CNXjxCwk19rSXgfoYHAab5qVNU xg1Vba1YQtXegcHyFg4jeCPKltVRsWTCEhQfPE9O1pZKwjUdDGpxVQA+tN27 5fOm8PNpfhC08QMPyDbesEFueahvuLttWVnDLqUK4LFi2PJw18ABrLUx1qrY ZMB8DDc8bw/1ipLEbtzYOnYZVQBtjOUYbGds62j2NOZt7DjBNkH/Q/9yuWGr 7SNL2LeplsYXkidNknY876+ypZ3CIYYP82K1AgcsoDUHEoZAMNCVFXRSkvQY Q8tUqaJDw0OAFwSw3YDdKb42l/dOzB9MNQWDh3IwTOAE5T1JWxxJ/5tbLfw9 5yuo11BEsSsDdYQlCmIbWOBPHFfevOfmPQHcY9zioyTpf5Ghy9C8qgv6NdDx 7jHJUx8i4lniXTcHUoX1lJpLkcKvtEkRQUbuMCnt5Alwn0/QSD0VoaeMq7ea XHXHK6/nNtRTDj1V3ORuu566xQ9tzbGkskX9jaobjDp1UIeespvIzqXDO/WU LOfwKOfBpFEqTL/TEI9Tv+r05EnkuTyxzNrTjEAeGdg9WQozkaXNBN6zWkiH exYw6mbcrlarbrIwWsFrHXPT8KyjWYNIoib0wvSUw4RyAKTySM/mybrLU3q5 xoWX/mA0k81nyqycmdSMcgY7DpM8M7nYPVNe780jiFxVNYapcY/gy1GQMigS YM2LBVXfSG8oDm+9N299/4y6GVQcPu9wr5tQlk6TruzwlJYxQeSqSVGf/If7 HMFmlfDSVQKqjJiAXSZazWA31wyQS90F1m65Ui7/LeimRgOURVj+al5Eb0ZD S+VXn3utpVdCuZgs6q1cAfVdo08W86y002fKQHF44uVtfeNahF4+12zu8izn W9OY3ZGnRkYvyqVjDUlX0MsZusmgaJhZZhOVbw7N7jDn0MALN+G1vDcOc5Uz zDaXydVA5er7Xnf+zcak2XxWzoR/syleyDqXCe21V/swtYvqublsker6heJ6 SjzoFq6TkA9mBLCIYIX+D7UJ8To=\ \>"]], Cell["\<\ Conclusion: the response (blue line) remains within narrow range (between \ dotted, orange lines) even as signal S varies over an order of magnitude.\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417837583324499*^9, 3.41783766887625*^9}}] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Negative Feedback: Oscillations", "Section", CellChangeTimes->{{3.417795991720509*^9, 3.417795999620814*^9}}], Cell["\<\ As we have seen in the last lecture on MAPK signalling, negative feedback can \ give rise to oscillations.\ \>", "Text", CellChangeTimes->{{3.41783871218642*^9, 3.417838741370197*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, {3.417731462091422*^9, 3.417731462178471*^9}, { 3.417731504226867*^9, 3.417731504315766*^9}, {3.417761590500195*^9, 3.417761590590663*^9}, {3.417781081732826*^9, 3.41778108180133*^9}, { 3.417782657492786*^9, 3.417782658153671*^9}, {3.417796044167557*^9, 3.417796045530133*^9}, {3.417799344940496*^9, 3.417799345672872*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztmg2SmzAMhQM36ZV6hL1A77nTQ3WTKQkGW5ZlCT/gvZnMRkF/34JtcPLr 68/vr/nxePz9eX3/vGaKoigKQNOJdV2S486/r0iCJ5LgiSR4IgmeSIInkuCJ JHgiCZ5IgieS4IkkeCIJngaRBJQZQrLf+nRJKtsuyZPGs5u4lVhNV0eQrPtW 71QnsSAkrSDTPhaQ5MPSFItBss+oQkliAUgKTec/K8dq2MNJ9HNu6pfEvv5U 8hw0C+u8170msZlJsFisZHcps560zsLJeoJAsvpIiZI7J2J3cFfXNia9uhTF SnaXXuO0acQnJ+8Tuwz4kSRajLmwguoTAT2fdFYeTuJWcDSJ/uKrZ5LtaFWH sbqfwSS1kXwakuqcdDaScs2zkEzXIykWPQvJXG2VJBk7WpdaGd0yyXa0SJLL JNuj1fJ4I9ujRRKSxOk8JLV6JMEjsWciiVd9v0wkidLgEe/47xhJot7Tfrv5 bBN1kuzcG7bnkUnkb6q2jMAkGpBzkCj2FLOxiCRzfc868VyH5GMOJNn7Z7uS 3J5v9Key3Ips16K1/nvHV/vrQ4NJtAG7C+hppAgjSVbd1F03LK+3y0lZXBpq Z5uR7Hpw0p16Gl5fWNI5OWbEp5e5kiSts5AUf39wJIkuZHNxTSnJ4Fm4ac6x TrKHrSdqWfPikVhFEm+SI/8voSS9t1KNxWS7M/mBKJEkwjIRoEASacFrSaL2 lO2+JjyeOsaTbO+0zFnUnrLd1YMDCgJJUxsOKUji3IZDCpI4t+FSTLY7k5PE VEy2O5NfhcRBICPeQSQhSXcbDilI4tyGQwp0kpZist2ZnCRLeMNjJzJJ21YA 9HpyHZKmLTNskrlhb4YkRwliZXx/Ddk5FRsde8puYv8j9M7EUgnpUB9JGv2y fNd5Ydh4k6wrvd77DjxhWq6TTO1aJVsbnjqI5J1kXdMVZMr1WSPRa18kU7BP RY4Iku0n9nyqEqtDst1aZpssgKR4SLabyuSSO89dwiEbif4+232oiNUEWxdV cPJY49UykegGss99l1pmErB7ZhuJMBUOlJ0EDcVAUl5mh6qdpHznM1Y9JFgo 6M/xet2dBO3KeookJIkTSUgSp7uTIIokeLo7yXVGPEkiRRKSxOnuJIgiCZ7u TnKdEU+SSJGEJHEiyVVIEEUSPFm/j4/ppkem734hYZpJFoTzk3wcwVA6SNx7 6ZOR5ArjZF5+7xHTj13G3xIFddMj4ywMKAtJVC99MpPA8djX+KiOrLrzfReq rkxyXl2VhKIo6kz6B+eDONM= "], {{0, 0}, {202, 204}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->RGBColor[1., 1., 1.], ImageSize->{300, 300}, PlotRange->{{0, 202}, {0, 204}}]], "Output", CellChangeTimes->{3.41779605395605*^9, 3.417799346243795*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztWFtPE0EUPuylLW1BLioxiBRIaxfUoE+G+EBEJTHxUhSiT6YhJvBAIIAX 4rv/wSjeor/GB/+C/Avfxuk3mc109my7W7mFQNLT4TvfmTl7Zuab7Tyob6+8 XKtvry7XS/Ob9Y2V1eWt0r31TQm5XUS01/j0kWz/pewfGt0TQgLtTV6I30S5 aNMh+gV7CpwAYAP2eUJ4TQifgZ/AZoVwiQpC5IgmDMSBLfNBGTglUiXyDcRt FeQJ4QEJdJAPutc+qChEt04vQZBKo1+ILNG47iZMkguSvQ9gpAFQeoH46GCM oXuojyxqFe0CrKutxBtf1PiT/EuxhXfQQYao20BU8uopRw4i1EVQOHPmdCcY Vc2fFxk1g3a7hHO6bSUcUyZXV1J+VLV9eBu4pypslD4susv3JgefQmwR7Qxs ySa+l0230a/8vm0738E+tOEdjM/BPlKR/V2xnW+xukY6cL5B4vFOuXQv8s7X QuRbOQtEw7xTPeFox84UJft/eBeZTB0mvAN4rGPno8OEY57hPmyNd86j1IGG Hb0AI8QbsEp8q0npPRCkQlJ6ESKUmK7kPHHuAxDWKihZ7LWh/aJLeBCFHDRU ph9I1pC7hrwRzdkdXAdxUp9ujkH3DRHm4kxugLkpAnRgM4aNRE8bxACVzGvx dpqP/4hcThtEdXAo3fe0aoejnuNLds047NWhldOjuroD84Ro2Y1K9TKmqNs4 79xWk3YVqYahsj3DE1/A3jpAjXkK+8qG1TnJwTLZbRtewGrdsuEa1sRdfuAa CnSHdz7Gkoh3FrAuUjvVU80fgTNFgVPAR3AmHaMqyUkuYv9wzjm8lVRt54dU 8Ecs4MCGP+EVbDIhHFPImtYcT2tchDILe8aQqzlD4YtAhpkgH2efo19hF4Bc YIg5/eLraC2QyHmbKM+im/o3Qaj38t8lorMMdwaAB8ozIKkps5gOldoS2pGB ZjE1PehlEe0hvhK9zXkvxhYjLGwfkLAkIR4pdWA4K0bBN2xiVSt9OJERijoG KsaiWGcoMvUvNlyB+KaAZa0+23AZUx+BJ6Cmuwzcg93RDLe/Y1AvNF9PCrwf 1y7H52kO/9lPi9G8M+Wu/8bsNXUz5DH7c9x4kYw41b1EZPNO8eyAHyFGRspg f+eT/ZEclgn+5GHfEFdOgDx9v8RJHFfINjPAXHEnuBunrn8aW9w7\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"NegFeedbackOscillReact", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "X"}], ",", RowBox[{ RowBox[{"k", "[", "0", "]"}], "+", RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", "S"}]}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"X", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "+", RowBox[{ RowBox[{"kp", "[", "2", "]"}], "*", RowBox[{"RP", "[", "t", "]"}]}]}]}], "}"}], ",", "\[IndentingNewLine]", "\t ", RowBox[{"{", RowBox[{ RowBox[{"Y", "\[DoubleLongRightArrow]", "YP"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"Km", "[", "3", "]"}], ",", RowBox[{ RowBox[{"k", "[", "3", "]"}], "*", RowBox[{"X", "[", "t", "]"}]}]}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"YP", "\[DoubleLongRightArrow]", "Y"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"Km", "[", "4", "]"}], ",", RowBox[{"k", "[", "4", "]"}]}], "]"}]}], "}"}], ",", "\[IndentingNewLine]", "\t\t\t\t\t ", RowBox[{"{", RowBox[{ RowBox[{"R", "\[DoubleLongRightArrow]", "RP"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"Km", "[", "5", "]"}], ",", RowBox[{ RowBox[{"k", "[", "5", "]"}], "*", RowBox[{"YP", "[", "t", "]"}]}]}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"RP", "\[DoubleLongRightArrow]", "R"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"Km", "[", "6", "]"}], ",", RowBox[{"k", "[", "6", "]"}]}], "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ODESys", "=", RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"NegFeedbackOscillReact", "//", "interpret"}], "//", "First"}], " ", ")"}], "\\\[IndentingNewLine]"}], "\t\t", "/.", RowBox[{"{", RowBox[{ RowBox[{"R", "[", "t", "]"}], "\[Rule]", " ", RowBox[{"RT", "-", RowBox[{"RP", "[", "t", "]"}]}]}], "}"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"Y", "[", "t", "]"}], "\[Rule]", " ", RowBox[{"YT", "-", RowBox[{"YP", "[", "t", "]"}]}]}], "}"}]}]}], ";", " ", RowBox[{ RowBox[{"ODESys", "//", "ColumnForm"}], "//", "TraditionalForm"}]}]}], "Input", CellChangeTimes->{{3.417707878456383*^9, 3.417707881561127*^9}, { 3.417707947248625*^9, 3.417708043754384*^9}, {3.417708076035349*^9, 3.417708077588026*^9}, 3.417730813770281*^9, {3.417731661942531*^9, 3.417731669115235*^9}, {3.417731702811681*^9, 3.417731816324857*^9}, { 3.41776203408499*^9, 3.41776203629243*^9}, {3.417762070636538*^9, 3.417762079567813*^9}, {3.417762133507612*^9, 3.417762139267024*^9}, { 3.41776224055542*^9, 3.417762323642906*^9}, {3.417762407363379*^9, 3.417762414785096*^9}, {3.417762576822515*^9, 3.41776258463234*^9}, { 3.41776264157549*^9, 3.417762643329834*^9}, {3.417762701044019*^9, 3.417762718247538*^9}, {3.417762774878155*^9, 3.417762775921088*^9}, { 3.417762808804112*^9, 3.417762815318438*^9}, {3.417762894178477*^9, 3.417762999866468*^9}, {3.417763182130553*^9, 3.417763182204953*^9}, { 3.417763406968726*^9, 3.417763408127091*^9}, {3.417763512439434*^9, 3.4177635278644*^9}, {3.41776382141425*^9, 3.417763825093554*^9}, { 3.417763987212276*^9, 3.417764015032127*^9}, {3.417764645162184*^9, 3.417764645970064*^9}, {3.417781107175815*^9, 3.41778110858282*^9}, { 3.417781151322069*^9, 3.417781153699481*^9}, {3.417781193275481*^9, 3.417781206959887*^9}, {3.417781387146774*^9, 3.417781388832822*^9}, { 3.41778196516312*^9, 3.417781975268545*^9}, {3.417782676945988*^9, 3.417782692299988*^9}, {3.417782729840072*^9, 3.417782769988143*^9}, { 3.417782811317876*^9, 3.417782865163831*^9}, {3.417796123678781*^9, 3.417796172266632*^9}, {3.417796213710446*^9, 3.417796216415044*^9}, { 3.4177962555351*^9, 3.417796504181868*^9}, {3.417796536652543*^9, 3.417796544780864*^9}, {3.417796596353546*^9, 3.417796654875439*^9}, { 3.41779738132471*^9, 3.417797381710067*^9}, {3.417799163650943*^9, 3.417799167152655*^9}}], Cell[BoxData[ FormBox[ InterpretationBox[GridBox[{ { RowBox[{ RowBox[{ SuperscriptBox["R", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"k", "(", "6", ")"}], " ", RowBox[{"RP", "(", "t", ")"}]}], RowBox[{ RowBox[{"Km", "(", "6", ")"}], "+", RowBox[{"RP", "(", "t", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"k", "(", "5", ")"}], " ", RowBox[{"(", RowBox[{"RT", "-", RowBox[{"RP", "(", "t", ")"}]}], ")"}], " ", RowBox[{"YP", "(", "t", ")"}]}], RowBox[{"RT", "+", RowBox[{"Km", "(", "5", ")"}], "-", RowBox[{"RP", "(", "t", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["RP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"k", "(", "5", ")"}], " ", RowBox[{"(", RowBox[{"RT", "-", RowBox[{"RP", "(", "t", ")"}]}], ")"}], " ", RowBox[{"YP", "(", "t", ")"}]}], RowBox[{"RT", "+", RowBox[{"Km", "(", "5", ")"}], "-", RowBox[{"RP", "(", "t", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"k", "(", "6", ")"}], " ", RowBox[{"RP", "(", "t", ")"}]}], RowBox[{ RowBox[{"Km", "(", "6", ")"}], "+", RowBox[{"RP", "(", "t", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["X", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{"k", "(", "0", ")"}], "+", RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}]}], "-", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"k", "(", "2", ")"}], "+", RowBox[{ RowBox[{"kp", "(", "2", ")"}], " ", RowBox[{"RP", "(", "t", ")"}]}]}], ")"}], " ", RowBox[{"X", "(", "t", ")"}]}]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["Y", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"k", "(", "4", ")"}], " ", RowBox[{"YP", "(", "t", ")"}]}], RowBox[{ RowBox[{"Km", "(", "4", ")"}], "+", RowBox[{"YP", "(", "t", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"X", "(", "t", ")"}], " ", RowBox[{"(", RowBox[{"YT", "-", RowBox[{"YP", "(", "t", ")"}]}], ")"}]}], RowBox[{"YT", "+", RowBox[{"Km", "(", "3", ")"}], "-", RowBox[{"YP", "(", "t", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["YP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"X", "(", "t", ")"}], " ", RowBox[{"(", RowBox[{"YT", "-", RowBox[{"YP", "(", "t", ")"}]}], ")"}]}], RowBox[{"YT", "+", RowBox[{"Km", "(", "3", ")"}], "-", RowBox[{"YP", "(", "t", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"k", "(", "4", ")"}], " ", RowBox[{"YP", "(", "t", ")"}]}], RowBox[{ RowBox[{"Km", "(", "4", ")"}], "+", RowBox[{"YP", "(", "t", ")"}]}]]}]}]} }, BaselinePosition->{Baseline, {1, 1}}, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}], ColumnForm[{ Derivative[ 1][$CellContext`R][$CellContext`t] == $CellContext`k[ 6] $CellContext`RP[$CellContext`t]/($CellContext`Km[ 6] + $CellContext`RP[$CellContext`t]) - $CellContext`k[ 5] ($CellContext`RT - $CellContext`RP[$CellContext`t]) \ ($CellContext`RT + $CellContext`Km[ 5] - $CellContext`RP[$CellContext`t])^(-1) \ $CellContext`YP[$CellContext`t], Derivative[ 1][$CellContext`RP][$CellContext`t] == -$CellContext`k[ 6] $CellContext`RP[$CellContext`t]/($CellContext`Km[ 6] + $CellContext`RP[$CellContext`t]) + $CellContext`k[ 5] ($CellContext`RT - $CellContext`RP[$CellContext`t]) \ ($CellContext`RT + $CellContext`Km[ 5] - $CellContext`RP[$CellContext`t])^(-1) \ $CellContext`YP[$CellContext`t], Derivative[ 1][$CellContext`X][$CellContext`t] == $CellContext`k[ 0] + $CellContext`S $CellContext`k[1] - ($CellContext`k[ 2] + $CellContext`kp[ 2] $CellContext`RP[$CellContext`t]) $CellContext`X[$CellContext`t], Derivative[ 1][$CellContext`Y][$CellContext`t] == -$CellContext`k[ 3] $CellContext`X[$CellContext`t] ($CellContext`YT - \ $CellContext`YP[$CellContext`t])/($CellContext`YT + $CellContext`Km[ 3] - $CellContext`YP[$CellContext`t]) + $CellContext`k[ 4] $CellContext`YP[$CellContext`t]/($CellContext`Km[ 4] + $CellContext`YP[$CellContext`t]), Derivative[ 1][$CellContext`YP][$CellContext`t] == $CellContext`k[ 3] $CellContext`X[$CellContext`t] ($CellContext`YT - \ $CellContext`YP[$CellContext`t])/($CellContext`YT + $CellContext`Km[ 3] - $CellContext`YP[$CellContext`t]) - $CellContext`k[ 4] $CellContext`YP[$CellContext`t]/($CellContext`Km[ 4] + $CellContext`YP[$CellContext`t])}], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{3.417796506928537*^9, 3.417796546945656*^9, 3.417796599369784*^9, 3.417796655393374*^9, 3.41779738289634*^9, 3.417799167788108*^9}] }, Open ]], Cell[CellGroupData[{ Cell["Solution Behavior", "Subsubsection", CellChangeTimes->{{3.417838809305909*^9, 3.417838811889898*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{"ParamVarRules", "=", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "0", "]"}], "\[Rule]", " ", "0"}], ",", " ", RowBox[{ RowBox[{"k", "[", "1", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "\[Rule]", " ", "0.01"}], ",", " ", RowBox[{ RowBox[{"kp", "[", "2", "]"}], "\[Rule]", " ", "10"}], ",", " ", RowBox[{ RowBox[{"k", "[", "3", "]"}], "\[Rule]", " ", "0.1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "4", "]"}], "\[Rule]", " ", "0.2"}], ",", " ", RowBox[{ RowBox[{"k", "[", "5", "]"}], "\[Rule]", " ", "0.1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "6", "]"}], "\[Rule]", " ", "0.05"}], ",", " ", RowBox[{"YT", "\[Rule]", " ", "1"}], ",", " ", RowBox[{"RT", "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"Km", "[", "_", "]"}], "\[Rule]", " ", "0.01"}]}], "}"}]}], ";"}], "\n", RowBox[{ RowBox[{"PlotNegFeedbackOscill", "[", RowBox[{"SRule_", ",", "tEnd_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"HomeostasisTimeCourse", "=", RowBox[{ RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"Join", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"NegFeedbackOscillReact", "//", "interpret"}], "//", "First"}], ")"}], "/.", "ParamVarRules"}], "/.", "SRule"}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"R", "[", "0", "]"}], "\[Equal]", "1"}], ",", " ", RowBox[{ RowBox[{"RP", "[", "0", "]"}], "\[Equal]", "0"}], ",", " ", RowBox[{ RowBox[{"Y", "[", "0", "]"}], "\[Equal]", "1"}], ",", " ", RowBox[{ RowBox[{"YP", "[", "0", "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{"X", "[", "0", "]"}], "\[Equal]", "0.5"}]}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "[", "t", "]"}], ",", RowBox[{"RP", "[", "t", "]"}], ",", " ", RowBox[{"Y", "[", "t", "]"}], ",", " ", RowBox[{"YP", "[", "t", "]"}], ",", " ", RowBox[{"X", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", RowBox[{"MaxSteps", "\[Rule]", " ", RowBox[{"10", "^", "5"}]}]}], "]"}], "//", "Flatten"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"GraphicsArray", "[", RowBox[{"{", RowBox[{ RowBox[{"Show", "[", RowBox[{"MapThread", "[", RowBox[{ RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"#", "/.", " ", "HomeostasisTimeCourse"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", "All"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", "#3"}], ",", RowBox[{"Filling", "\[Rule]", " ", "#2"}], ",", RowBox[{"FillingStyle", "\[Rule]", " ", "Automatic"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"700", ",", "400"}], "}"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", " ", "Bold", ",", " ", "Large", ",", " ", "Brown"}], "]"}], ")"}]}]}], "]"}], " ", "&"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"RP", "[", "t", "]"}], ",", RowBox[{"YP", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Axis", ",", " ", "None"}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Green"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}]}], " ", "}"}]}], "}"}]}], "]"}], "]"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"MapThread", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"#1", "/.", " ", "HomeostasisTimeCourse"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", "All"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", "#3"}], ",", RowBox[{"Filling", "\[Rule]", "#2"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"700", ",", "400"}], "}"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", " ", "Bold", ",", " ", "Large", ",", " ", "Brown"}], "]"}], ")"}]}]}], "]"}], "&"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"RP", "[", "t", "]"}], ",", RowBox[{"X", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Axis", ",", " ", "None"}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Green"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"Thick", ",", "Blue"}], "}"}]}], "}"}]}], "}"}]}], "]"}], "]"}]}], "}"}], "]"}]}]}], "\[IndentingNewLine]", "]"}]}]}], "Input", CellOpen->False, CellChangeTimes->{{3.417796698989661*^9, 3.417796817470502*^9}, { 3.417796957011081*^9, 3.417796982493149*^9}, {3.417798590618824*^9, 3.417798590842624*^9}, {3.417798629451664*^9, 3.417798629881066*^9}, { 3.417798673790347*^9, 3.417798716239769*^9}, {3.417798837024899*^9, 3.417798844118359*^9}, 3.417800107692224*^9}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotNegFeedbackOscill", "[", RowBox[{ RowBox[{"S", "\[Rule]", " ", "2"}], ",", "50"}], "]"}]], "Input", CellChangeTimes->{{3.417798457996772*^9, 3.417798460870067*^9}, { 3.417798495327389*^9, 3.417798495772577*^9}, 3.417798725555893*^9, { 3.417798858998465*^9, 3.417798914197737*^9}, {3.417799175888818*^9, 3.417799176238913*^9}}], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJw1m3k0lP/7/ylEtBGVkOwkuyyD6zIYUkklSSRLCCVLdkJKlF0I2UqWJFnq HVKyyzJ3diqStFDZt5Tf/Tnn9/WPM2fm3PdrXq/rup6Px5yZvTaux8+vY2Bg uLmegeF//4Vi/t7PEHiqJZSQ4Jv3lkXT8OUGo3GH33A7NG026SoV2jcdYGOy ZECXlK9TTr8uAzVG73XeUVbMvxflmS0XB+dlVzbJb9qKyuW1DCdrCuCI5Plp Hv3t2FX9Xi5btgpKuwOvtKjuxOKUx1YX1uqAwin1hOkqH/obCU7TVFvB4U/8 vVwzQfwvqr7dbFMnuDZ+VXxyRAiVsx6UzGwlINKcRfSviwhqitjF234hwLbJ 317eUQy9r1XvlPxAQO2GXcecT0vg0oFnR9W5CZDfFpz03VMKXVwD2hbed4DV rKa0kYs0ZnbysIw4tUJWRgPfYpQMJiq926gWWg+l0epD747L4bqi7W8t5qvB o1LT+N5heZQ5KbEUe7oUalpzZyLOKKCW7ehJQ8dscNRXe3nBTBEd2P58SSiI gbR8+QpnJyXczBfI9KT7DsTOvgy57K2M8+CZZMT9CL4UXvFydD+A62dFGX+p V0IdLT4lNFQFh/ECoclYDwxHB0djglWxL1Chqb6+BdbwGWOWrxqe6Yg/PGna AeE7Fo+8C1fHgs+X+Kc/08HV3PbN4jUKvjmd67L1BQEjIUp2cEcDT1sOLdq9 IYAr4e5gRLYmUm7vL/k3SYfcrVK+TWlaaF+Qkr/W0QGv3ffoiT8CfLbtxa1X 7K2QIZjFp2mCSPcp/PkroR5eBqwwONIRhxMyUn8vvoS9hzasCp/SRr49Kr9c /EqhvFPy1kC3Ntae/0tZeZMDtxv/yQlaUnHVvUSmqzcGEjy+O517T8Ub6wee W1gmQgC3wBah0zp4c4VjrSkzDwokmVs9R3Twq4SGUdvmF8Ayx7ir9qwucs6c 1FlbeQN5ck+DMr7q4lkb95fvj7SApE2h0d+LehjJ70l5d7gDhg6+KD05oYf7 5YYOCjfT4d19v/3gQcNhYebGP88JWCo7piE0Q8OkWTs2/lYC1v5zr7hxSR/D KhJPzewm4JAcTS9gXh9/qiisUxbshCZL2QvOHga48+r+vV8GWyH8b+v9iT8G +K3cmo19awMUl1xeXFszwLBI/+yZkXpojRty++YwDOm3hm+fdxABwb/P0/8e WIJDM08snALPwM2Ol2MnTZlQ/+dvJeOCEGBZ5PvFpMyB3YkNZqWTGXC66Mma sBQn3h6ueFPAWA5esyc4v57hxTtSR/R0NZsgjEliXjxFAKuObj4m/q4NJs69 dJQ6sReVrQx6N9jSIWCrt7SppTDqx5W8epBMwMLWWr1kJ1F8WONpqb5CQLxD 65mOc+J4Z06f/14sAb632zykHCRRjMuioPQMHQzWWX1Ku7wPU2oDS/xb24Ch JeSBUOB+pG3ZUywZ0wTxItXc/3XK4WMdvaCdEc8h5Y1bNle3PBLn7mfOHS0E rojffcsDCnjtruOnX15JsM5H+YXTJ0W8yxKgMyEUAzwd3rt/TSnhqNaPzA0a 2aDeuStgck4ZTwU1llaklsGo4TPNCEZVpHwpj29cawQGA4OZHX9Vcezruclc 5TbQKeoVf8Ggjq++iMg7CtHhj+p+1i/MFNxz62H4Z3sCJH4dSkjj0MCN7twH 0gcJ8NvokGm3WxOVfdvCPrgT8J74VJAvoIVVXc/aHZEOpbUiVt7CgJnX1Kw2 pLbB2mSy1bftiPscICbsfBM4RaXU/bujjU+1FFRf4CMQPLT94+pOKk5KNQ63 +ifDVv65I6/TqXjVRGqrT2Y03Kxfr1nLq4OJ+RfNZzszID4zzuVtug5Oqdb4 Z00/BdP4gbey93Wxp03p2FmdRnBseTzeLqWHhncNy6T/vIV1vU+DC4r0MLz4 Ib/sZjr0Luy6bChLQ4r0nJqlBQFf9o2Xl5TS8HGgXOrCAAEBB0Z9TOT08THX noSQSAJyPS0CGUv1Mea5RgTPZTqwNan3eSgZYO8ugxkB0XbI2x9449FzA3St 6DtqwNkMvH332uf/GuCj6aaV4KV6aFG/9mLSoRO+HMpKG7bYBKM/P1j7zM+C Sv48j6CDMUj9Wl4oOr0OM5G7uKjUB0R05E+ZUjdibVrZnVfUZBj+2X2jcPc2 LJDdYc95qgS2j33TMTPchWefH889kdsA59gljyfd4se49fcznGPfgqSMxPpv PYIoIZFO8M13gpezbElojxA+C3LdYnWGgNcVtsqtEyKYb1jItGWBPM8dwp+u jomhxFPBvrfVBPC3uo8ajkigIGTu5npFh+qI31VvZqRQ3Ondva8f2kHuo5Xj f3PS+CqUYU2HuQVyTvv76MXJ4aULRn2KapVwo6bPxyxWHu2Cyi39LZ/AtwLD L7WpCkh9VnR7ZV06VFipUH6kKyJf/kfu9OIoMKsy+Vb0WAnhRY9H2OE0OP9p IkjmmTJOE4nT/S4l8M5AZIL5jQrqUVf2PbjRAMGH4n501aiin3gdexbLW8j2 akyUfqmGS3TuoGnzTtCW4Hw01KiO1UNnf/rsI+Dwg77Cg80U3DG1TW4bQcD+ xnbG4/0aeDdD2zcwmwCfUk3qrhFN5Pm+4a9FOh2kL4i7ZA5rYQ3tfJjZ63aw eii+LuAH4Bk1iufjV81Am+y0ivPSRuXHcdTy1SfgtClTaWJBG2VPNY4pdt6D DjdfmAqgom2nFt/t6ijYnL7QFfuHisFcv9J/D6dA+GDfywU/Hbym930o+cxj kKm76L4UrIsRMqUnE3LrgTXwicIBNj00em8pTnvSCjx8xQ4novSQ+mozeTqd YJZ1YZvxJhq+vsgmTNtF9p+D3PRiPA1LZHK0lTsJUJ+/a07Zpo/TG212qJcQ 8C7JYZdurD5WGRKDj9roUOiPm5e2GyBt/UQr2/4OeK7X633rjgHuL04ojLna AsZO5f9NrRpguOn2WBpTA+ys89P5GfUVjveNXT/qqwSWHPF9oT6rEMGS8a93 5Tx8KQ559+84C0rmZlc+770J3wpZr5eJb0auN7naQZIPoH/dq5ErF3cj9VI3 z+X6Zij4K5by4sEedGZ7LCi62g6PE453uND3otB6XttRst6uVdTkS34RRjbj 1IhHDQRIuwiY2n0XxerEHcd/TBNQ+Nytl++DOHaGneF/bkZAj5EY88ZfktgV e4mxobcTHjWyt3bsUEA9vijRH5m5oOWY2Cq/SxFnD/BTJy3jwShWUWVCVAnd CnczpX2Ng66RVCNZJWXcdC+pketZLgTrri2foagh+8a/Js+N2+HLp/FKPV11 /PGyw3o5gg4VBw3O/9Kl4CuGWKHdSQQwqb72/2msgdYKr9LKewhoNGLQ9D6r iZ1aCXdyDxCA09e3qVpq4eLtIr7K0k6IkbEWd6nQxoo9unnGxEPovRkRvplC xTzt7O1v2+LhePMli9hqKl4UclUqFI+DdT+3PpxW00EDrqUXrYL3IchaT9Sh QRd5ttzSeUQ0QTN3Uer5w3qoZz56gluuHX7FVNxde6uHLG+b+/+S88rkSGuH 7jEanrRP1jwUR8Cv32k+F97R0PbaTi/tfgJqvKWSLx7VR7vq/WkbT5P9cPzY p5oufZQq8316hYUOYzrhoyv/DJAI7jleOVkPzbffGcw7vIIl8XbttJU5Ld3x y/UV3dOQPCgUYdBlAKt/dwSbnWHEL7v07p4N8QTFC1XsawZsKK13ULiDLRFy oh1aLyZuxW8RLygm/I/B1qLsfWztTnyfKZQ91VUPHdEFwUeY+ZGqMEXf9LUV mhMt6bRkQRRJ8ZPdFNYJMynsMylxQrjcN9U/oUKAKKvyY9siEZzZrG978DcB l1w775s9FMNr2hxbvDoI+P2tYddQugS+3fZripigg1e7imRvmRSKHX/Lznau A5q/GRleK5HGhM4eZZPKFpCaG5TkcJdDHSnz4F93qiCgOnLM75I8ijE5yB1g eAon1JcmRP0VsMRhwZxLLxOiT6iuFviR9TV4s3ZULRpW5OuMOG4rYX6ArGjX mRTw+2ES3JmkjCM0n7KST4+hVX9IWzdHBTeIxd4xbagHbK8Yf5qpirinqnLJ oRXoZ7QO2aepoZRC4oAEydNjmWGrpnnqOGzEv1GFjYCzV+89E3xIQY2PTBeH GwlgEWEsa36mgXMqvf8Kysj6y3GOJl5r4rVaBffdjXT4Vp3vXvZSC0UfnKst NeyA2Nv37xOtgG6q3A7ZDi1QnjbxeNBeG5s/WaptU3sKMZfGrEa/aKN4Y7mM YW0W7OfTUGW9SMW7p5p/p9lHA33D5cylCSrmyh93NHUneWTJz57DSQc9NOV+ bbEphNSh5w3vXXUxeEvt+f+IOug3LTFzWtJFdgirEmNsBUGQPpMfqIciS3PB O1o6gPfKttHjq3pIRGgse8zQoe/6yZjd12h41GTYSZzs/7vdV94WM+rj3BUp /7waAr6JX3Q4f1Ufwx3GH6/O02HlZJ2kOrMB6oSUKOkWdMArIvSyf5gBOtZd GsyRbYXJMpC5RM6zf6+JKYmNDfBPT6lmKuszTD7e1fLiyn6oYRJVf31qBebs j6Zw+1rDs5rMM4UmzCiwLzHn3moYLNLj1SxkNuGX4a7jwWXZIO4f4Vs8xovv XBu6+Nc3A09IXuNlgT2oPLVOS86pHQ6vhKe9jduLEmNj3yfi6cDwOfUHZAuj nNhmWTdyHsfV/G7/WyCKjrNS1OxFAjK2CNydzxDHoFdzonu8CMi76KuRWiiJ j/lu2AmL0iGnvkZ5el4e13xlxcp+5EH+kjZxZ1kBH41e+5SilggSYUpLheuV sLwl3GElIhY8T7FVRHMqY9WosrWUxX3ARuEFNT41bLZWe1/d0Abbm866XRVS x0AF3dSRU3Qwq618dkGUgsuFSp0swQTwcN0Ir5fRQA+OSPwfD2UVKf76qaGJ A2Nr8u6mBER/KrOc0tRCXoPLzdokT61+CLhSkauNNtuVKbr/8uHP945SZikq epYxtplPJsJTd/mT+UVUfDLbwvN1Syw0mEW6nZbSwffLUn7N+7Lhh2+Mz6Fy XezM0H2dydEEKb+LXt+l6GHQflmdOyltsFSqGGVSrYe66kdaWbXpwC3knqmP NLwjZN+X6kPAj021PFFvaPg2s/t6Icmn/KdYWD+BPgYVd6pqeJDr/WwqO/JG Hw9Q2HtHNehwNYrTzIecZxNhMc33ZuohOdnI4XdUHxjU5L3ytOaFkHnDNXWe BagQUZs8ZnUSTn8cushoth49LzqbK6YGAjd/Xs5jCjsm/XK3mPyUCpFNM8oR 2/ei9E+xYYocHZY1T1xy2SWMemUWVwz8CThjG/9Sbp8o3umpiShfJuDGKy+B PCFx1OLeLrU/n4CgXfc+WlYqYNhzp00W2+7Ce+cDflKvFNHmYV4K51oUPNcd DznSqYQjGzS/qRVmgHuc0ceZj2oYKjg0JdvVCRklmafPjatjZkukfZkhmf8t 2zLdf1Dw2cGq87l9BJg4phoPLWug7tdPz0ZvEaBXdJptbgMVn5b8ta3wTAXX pme0/ttU/Onzvp0gokhfC2SVZNfB3NrFoc/5aZD8thaPCNCw76KG0h0N0n8P sp/ozqGhWoXmskgvAUPcNd+bBPUxef9F1b4MAqqZbd4KZeuj8/VG4Q1ZdJDH 2ubvfhMA25wSLjdQYJVrzVPv7j/o+/5uX76dM2zPtD144tgGvK705CS7QRSw 3By155IUQc4oJu7j5Pqbdx352CohhgqrHAw7vhPwzKqBS3e3BM7VtupdUCWg q2+8rl1VEblVeu79N07Wf7qC1z4DJfQQcre4U5gACk7S3zpPKuPhYnbemwfz gfNdD5eHHQWvtU60CBQQMGOx4srjoYFSc1q9/e0ETE613WII1sRfg6+5A7kI eCqua7HjMBV/NT9mPbw3Dmb4i2x92qjIvjQ/GJ0UDxCSPBhxUAfNHdbnBujn QoKP0D9tGxp+NosUcXlIwCzhNag3SkOW5M7A6nfk/E4xEls5q4+Xj5vETlEI OLjyxyWQ9N0zabWpveP10Cjn5sDi+ARKKtp35YoNaXnaVF4xqZ+CyDsKF8R8 9WCMOU9X5j0D+jQ5vvLLdQf1AAb7E22syPbvzs4ncfHANCzn0mm8FRNqy7Qr 7R9BZMpOyf2BO3G6spuNw6kewujfd0i+4cPiR98FTWJbYafB0oEFb0Hc4TcX Zn+wE0qeLHM+cBXCaN6JmmERAsye8l8ouS2CecFFQZU/CHBME2XWCxdDr67a bBny/M18XJWF/SUwuuWOwzQDWW+/h4atEqUwvMpinURmB2y/RKtyjJZGVP+1 Q46rFS7VRoa62sghK09J2Qm9avCh2PHetpTH1wmrRxcfPYWb647+PuWsgOfC 4+w5QrLAv/2/9xEXFFFnpnvgSXc0GF5cYdTwV8K9eg4K+uzJwOzKxigYrowu rp+6Oq4UAa3pwEXbeBXUAD7jTNt6ENzcPCYYq4reGt3RP3lawdHIT+xapBp+ uTQZeyq1A54NaeYmJquj5Xkp87kFOoy7BGtw3KGgQkhNpPNr8vzepbIzPdTA C38YPlypIusjNbR8/1NNfMow1f9tgA6N9t+vvCzSQrmddwfTozog/6q152ol 4HGz5/GyJE84eSybrJ3VRuNyZZbF/qcgtCd83vKDNv43lpvs+DIbLNzuKW0/ T0VTu1C5eOYYKH0pfV16jIpjRzJ6flncgVc32tSTrXWwgP+04cByPtC/Wvw2 ctDFou8q90vt6+B1XYkz05QuLqr0nhHOb4EHxhPd767o4bax5Q25tzrAz+q8 YfesHsat6ghVfaBD93bHs/v9acj759LBeTJPDeo/X/u2TMO1m5xWtfUEeE65 bl7w0sfPhXUmtiRvCNWFqZz5q49PbKQOOnzpgLodAy6z/gbI/3xf2ej1Vqg0 Y/4uTeZrCE2BhXdTA7hviPN3L/wETyxrs14USsDv4EsTZ/WXoUB7YTSXzQoy G2UEg3uYsK5y70d+nWvw73NfQslTDkz8e3bbh6gsMHr+q8EwixfneWzeVGc1 Qfubr5aHhwSQ5ZT8vkmBdkh/LLTO330v2tQya5zyp0PN8k32Q1eF8YK18a7A BwTUO/RHGEaKot8JkYxj5LxNoXiufLoqjqUpPferrhGw9a+Q2ehNSVxuNv5G IB3u6aQ4r/sij7+ELs2r8RbAx9cp3U3fFXDPvmvORofvAPe/8v7IGUX02yiO GxjJ/IpHxxpGZTwfeXVuTDcHBDccmMvnUMOomU17TgS1QdGL1MPp29RxNmvX aIwmHaT+eljlcVNwpDnuRy+ZR5kMFzaV8GvgQlNuQzWZV1Fn2mmS0ppY4PHk 5PbzBFQMtF47LKOF0oc23H4sToeyiki+wXvaePH3t48LfIUQnepmELKXiksN 8QtuYkkw0hR/rPwBFc/eqORMPBgDDzfrn4oS0sE1mSrZJp0sELyhlPPykS4e zhr0Ds5vhGCLx12KinoI9XIFaYZtEFg/w3K1XA9vbEsUWiLv58XRuKFFhYY5 Adw3fjqRvJXe9SWjkoZCDKya5eR622ier3lV9RFzaPkaVwngLTrde7lSHyWZ xILGTOlwWKGfU4XM1/QLMk4x8/UQxMs6OpPVBbFicgHtGtuh1C2xZIB5HjiV dF4cqj0O1HEnhb7+dXghvl9382Z/4JObXGV8tRHTn1bYyjPfhUG/qHTVeUFc YOQbf81Nh/9MtGO8F4UwdkeuUoMzme8c/r6B7KQfXhVr1FsiIHii7WrCenFU 0woZGSwloOzT7KeYQgU88LJb7PHVVGj+8sx8Y7Ei7mM7/+JnVRSwBvMrB9Yo 4S9d5ksRP9NhY1jkiy0daljMN2zwObkTLk+arcvoVUfFoTADb3Je1z2bEzk7 QMHPg5v/dnSTfrdDqYDnuwZOB17I5U8moN9iNcN1TRtX6ee+G/KkQwbfTp2x MNLnPjZ6PX8SBdLjar8s1utgr3e6D6GaCksV3AUd3DRcf8f72Nl9BHzs5xca T6WhQfir0a1dBEQyS+cw7tJHBfHNMl/zCNDvsHMvS9HHP682htQ9o8MDRoEb zmHfIV32Qf3IVxWQjjUQG7v5FzhEUxUDYx1h9eHMJsl3LKh/QdLX9U8k1GfQ wwU2iODawt5z06QfrbxRTt3BJobRJ/J4x34SUHJr9xW5VXF8HeqQM2lAAGuW ZtOahCIypMhcKLwTB9Y8ZabsKkr4aAN/h1l1PITm2qat6ZL5WjqTXbD0EMY2 xVSXmFAwJPu88FomAf6GH+YZbTQwsSJsWI3Mv4FM+zGKqybuCXH2ChAlQLd/ fDpeh4ov30hRzn2LAyGPTefC6qnYsrK+X6E7DgRVTF6/1NbBkzvfHpvY/wDm bLzs607T0MpU8/WRdAKmzkUUnBqkoU2Gps0o6d+bb1Z/VDylj4vdz6wHSR7i yawV1yDz9ZsR09Xm7/WQhAvFs1FNICHl5/T45HrgchLn2vFlBjhH7H2Ekw8D 18LNqtBBRryU7/23PcwLZs4enuZpE8HSj4PqW2fJ+ajjS3VpEMP6fyVP1kg/ yRl4vrv1liIKhymrqPZHQcHCrbT36Ur4vox1rrbxLvTEVcopP6dgiaroP+c2 sl+uOJhHNWmgzdLBKsZHBPxrHKSselJRunQl7cByFPw+VvaifpbkjYgej7F7 yTC4QH3NdouG7hysO+JbSd4d28B1hU0f/6uiZXU+J+BWWB+Da/IXqN6Y8WP9 JXmIvjl0c6/jH1jpT0zhz7SFjmdbk7u7mHH9g3aV9r4bQG0ralGqE8adeeEv g8k8O8u9gfNpiyjm+Oe7Ss4T4CE30W7LpogCrFyVJpAAlI3lO95uV0Jx2TPu +6Xj4MZ1xs3SyhQcOso9707yZJTofcYB0MD9L/k7DPpJPlCT5o9UIPn/cl2n bkcChPLTzdLLqZgvIz42FhsL5SoCKo0GNHRj5Bqwu07maVCxvn8rDd8oyEUP kL5Rsv3O5ITfEDCeyXsZf1cQjH0ZjdLFFuHwuc7cKpoZSFQWMI4ZiqLkhedW Z1ZIv5+uuGtIV8S2kNUVFu9oeDoksyv8DwXFP2Z5JJLXQ/eThm2JVHy1dmLx 395oGK1cuvamkIblcc433f73+UeQHbuj209gUDvnILwF4W1yRd3DgjVQcDvt ZxxwCQzc5vRYD4kgw/fBsPaPBCRdthMKMhDDnPxSrWuf/+dvsa/TDBSxVDu+ Z8+xWLgpVHrn0GkljNbjErlTmgiYxOes7ElBn/NPf/o+JeCC644fUmEaaD7d XR/XTICAd3ZjmgkVaUuMuwq9Y+FNs6GDSzcV+WQE10Yukfwa3XHntRMNO9fr Kj98QsAC1Y5d6QcNo/aVLHWS/Rtw8kBpDVnfCxYKD8c+10OtT/EDCcdMKK/9 /jJx9JXWbUGrDmGNKViTbVAYmtKB/ohfYnfTGZC3fzknpMENapiFE/5GseJj qa7/TD7GgVI4tyaD7Fb8KJ1iVhxbCBkHDh39Y74TvYaH3hJK9XBuOuJzUhYf jli63vC2a4XX2Xo/jjgK4rU/2Q6393XC1qrL9wvOCuG0Fe0I824Cppk5m3oD RDAt+BerxDcC7J/Slau8xVAnMza3jjwfDtTV0XeSwA3mc1Vy7ARQGWSqHoRJ YSOre4ZaTQdUyr3xOBMojZ2fmmRkoBW25o/KZJvL4TWrmMO696phYcW4YvtJ eeSgHfsdua4U7tuvTF22VUD701Kb02azwH3jctvyOUUUSQ9NJ1RiYGZj0lCX uxJGFf1yqHNJAsOnttoGV5VxV1YOla/+ETCFj63ziFTBR43Wx64p1EOsDGFr dlMVp/JyQlZ/tkC5/s7EbaFquIWv5U+3Twdk+Kb6lsWoY4tfS0PkTzoUfnZb C7lNQTh48dNgNQFOhV+fZ9/TwPS7Gaxsrwhg2BHddKZAEx1DJN5EfqbDs6oI b+oDLbRS2e1wtbgDlHxfv99WBggTVgM7PrcAzSo4f9sZbbxdBv4hkqXg7G32 eveANo51dcewQw7M7e5Q4LWmouKsufSwQwzk7GT3oY1QMXTcesR1MBEEjOYf WFjq4Oyo74cNh/Jh4qIsE6utLraN6Gz5JVcHSityV4gJXXwurrks7t8C9gOt 27656eHlC2xhDi4dUGgS8y/xtx6eKeljZ++iwwmLab0D3jRsmatwjyPnh2A1 7znmBRp+ULq1dqOJgEqTaesad32MqWbrb+Akfc33fI3zsj4qS375u7SuExrU mZyfeBvg9cc6grdLWkFwnyONg+RH1QDOyPjNDSDtCOaKT0agTiBiRM9XDFiB S1fm1RJkFSVPXFS1hERDr3UTd5jQ2GNN4px7KIReXHlt7sGBJIA8PM2QBTYn 907uDOLFsMziBiHXJsj/HC5Z+UIAicCY2BdLbaC74XLFO5u9SDke0E1zpQM/ M0O68SVhpJn6XN5P+qtlddvXy36iaNKaP/uR5Mc7x/bsM7ssjofSkpt1Ikm+ rF88z+IjiVUWu3ksjOjAu/46y6338viCaFc6VV4ASyK6vSOfFDDAfP5d4cc7 wEGZb175rogeXzcyC9yOgUty77VNl5XwkD2Xb2FNNsSKg8cIkxrS/eafi5j/ 7/MO1UopNnX89oxpgEeODpxpdMXGTRQc84p6cOUiAXbe5nRRbg30exRu00Ly GJMi72yjsCYynYnl3u5C+vLJ3iQ/MS0cEbc8sleJDtHZ2y5P3tXGN0umDJTi QuiboXIBPxW1Q/qU69qTwMe97mhlFhXtFvyWVn5FQ/IFUcM8AR1s5/j25nl+ JlA4Njz3ytNFnz5Xri1ejTAXv/8Dg6wedslaR3IKtwEeeaeTWKJH1mNzhtRu OjxknKqKUKThmEDmi1pbst/HLNrznpF889bR7BK53gdaj9JVlPTx69/lxIUw As5tHZJUe6aPv25uj0y2JXmXiXKZh+THHIkMJdbFepgessv0LCQgApwOfLfd Bq2yamwFgXPwV8xv09bbx+CAU+l26t11WMs//s1v0BeyXmyWKgreiPKruRMv BFMgtHvwaOwXQZzacTdCi5UOO879tydwXAgjYn97F5PrE7d27bv/RwSPB7DZ 6ywSEMjoU8I2J4abWt4t/yDztUMv83N+jgKm3Y78VquVBjVCi4Z+uYrYGNAF vsVRUML/YjP3MyWs7Qz6kbwrHUwDJcQzGtSw1il1OMO3E8wiK3qrO9SxWLzM IlaRgJv7x7920Sl494/a+k0k3z37FXyyfEQDpV/YrjiSPLO3ov3C/j/aGFrG HTH+Ox0ONBlo/wim4ok+5TvKJVHAr73zk9caFZ0DmLcGR9wFiUdgGbONhkTz /TOXhMj6Fcxj+51EQ5M7Res1CAJs/toECXDro/u+9oMSRQTcVhhv8E/Ux6NG plrvaulw1qbNTjriG0hTbjl5Cx8AXaOfQWUMfyEk8maoiJYDTEmpTyXEs2B9 ckCE6lgEiBTq7xRZEMZxKQceZ5JHEnZILWkuk7613YOHYYqAx9mNuQ8nxbG9 2pv5uzEBwkzfm3fuVcS0tkC1+wtxYHZiluYvo4QZsbfC2o3iQUpnzTNZQxk3 HGTSTTj5ENoeTcR2Hqbgz3Uej0TTyPyu7fjP+7QGCstYs28nedvYuyx2wF4T t97pHNgnQ/KH3H/VxkBFgWT/pZ+m8VDJr3U28jXJT4FNt5T942BbvEJZn6YO Wu8cnGjLvQ8iZlm8YSdpqC6iu/YtiQDXfM64c700VHot3SLVR8D41dlK4xP6 2F5a/4LtOFkPbiLXd5P56u/w10l7oh4C655ILmbVwbEjz6XuBP7VkpZocx63 mIEHlqzzjnmGwOpHv/czlRHZs/rWFgOvwO0yPKpZLYLXnObpetMEuJ0W8Rit EEPpWysJx8n9S+FZYle/poiirAlDy4zRcDxR/IpnohKyro8VWtx0F1JZi2YL iyl4YH9h1psWAmIPl7Pse6WBfxnjbN1IHkhyY1df50bFBqJkQ71kNIwUxRV9 /E1F5l0bT55gTgYzrbY8znCyHnjulsyT8/nNe63fccz6uFagZ3CCnN+6X64P y6aPgSNtYG3HRjl4SAv+NDW8ArcP5vg+uG4Db9TNfCGRGROrtYY+frkO2X3C 5uqlwtjXuxjJ/YyApQt/XPteiOLldXp6QQukjyUmdQYwKqLtOR0Z6xckv+jP baBwKGH4Ro7pyb5YcBU+O2q4n4L5VVmWPST/HU9PrDdS0UCxOicbDZIHSuP+ ftWXIfNLzM244XQi8DYznMopoeJRmtH8oyOxMCZtMHFDl4bPKk/q85H+6dyo IhvWSMODvEemzMn5ItI7XXAxbACKD+4ZWC7lB0eVhw+dMxYgipfVK6jFFN5s zrDaSBFFz3GzaUGSH8dlFiIqmxTx5JTsxxClaPA6Lvh+dYaC2Y4KfS9IPuzn u2HwLpaK+tZ2OxXnosB6Xajz24c0DFGxkLcj68VnmPOHhNck7JPRCS/4pAlj J835vPauwSYbL+bKry6QF+Dcu0ldBGPPRXlLDxEg22AW/EBVDP+wmU+dHyfg Pw/Km3Ik7z9rUVObEgtBVjPXq4yVMGm1hH5qXyJIKvmCiQsFn1gZ/7J7TIDM OOvjLH8NjDbevfH4W5K3O93jThuTvvR1cHd7cyyYe/ifd6dT8VyHr8nCWjzY XFs6GGJPw997LlWKkr7hGflzRmOchn8EpTiG6QSMit/dkkHWN79WSI7lF9KP 4vW0VqOeQ2Rj09hS+g+tGgtJ9sh0EZy2OzHDS/phWKzP5C53Rdwbafbf9uBo EFqI9k26R8G3uczn39SR+djocmDzBSqafhS70f8kGkzbP3qJXKVhhnq+vvgb 8v0+HE1/mjsK7ErBDZz/pECKa2yfSKooGsbYWMeT/i5Q6/mN948iGnb0WZ+i xsJghLehuhhZH5tP2HqR52vAb3OiOJ+KtjlDYkpPYuDCScN/d2po6FG351Az +fzc8xu7T+0WxVqVMjEeMr/f5Xs5pT5TxB4nYXpvbxT8g/U23z6R/hIXx3+q lwAW96+6H29SUR3Cx+cqo8AqLlH9Qwbp3/3iw2XkvPmR5ZpXePUHiLTfSt3Q rAbWl7Q1pneK4b4SBvukCQJ+UeIbxuUU8ZTO0wlmShw865pQuO2kgb0yOoJi 5P6uXOUW79Gn4sYbPU8kQuLAfRfDG6OPNJz1FtV3JK9/eqNZwtSQCCZVymTn zxFQlO69zzxRER18XIz8qqNg6+6Wi69eUfBPV/61IZL37fkKNRd8qKia8m9P f3cUnHnyop8hhoabTLbdWyX9suE1Z3nkgCg6lB5oyiF9tbn4qZatgQZq5d2L 2E3W60UV0XPuHTQ0/zJtK0b2W8z5ivsvzUVRInSmz5bsh6XyKwWD/Yr4t6fS PrwxGibtNE23MWmg7tp3DWVyf/ObRA43plBxMzPdhf9MNNh5uKa/KKbh9QE+ hiPk9a49GqsJNVbEc2bHjTq3xEKPAP3PBzMqLtjOKo/sjwXvP4PC+37RcMOp PMMYcr3c17pMhsn6604ayHUerYfnrJJ7LjrGQNruiAE332wt+TWbeZ6p3zDg wfPqgrIOvDvEmdIRwIAfc8/zDJu5QbBhecG7S6w4tus2T/ONODg8FJ67U2Ar PnYUO88mXgj51+1sRg/uRNEfFJowbz10MJq3tMfwYWC0Z9EFo1ZINJqs8z0n iCVqmQ2BfJ3wGoucpU2FUMpTcf16HgK05DgWvnuK4D6N3E1tZL/aaYgZLbiK YVJR87EAsp/H78sYDlhL4IhIKmhsJfmXtU+iKUAK3+rYteS0dwAHJwO921Ma F1Jln2092QrWaZuZK03lMIlFKutQSzWUmzetGzCWx80pA5/W9pdCyU66W6CV Anrv7Q1+sj8bfkrsanhqoYhZM894PlyKgcYB2+bMS0qo5xC6c3JPElx8F2tt 4a+MP5PE95i5PIIx+6p2vxsqOFzcWvJlVz0015wU9gxTRZNO90sXBlrAXPdr a3+gGnLJ9p/76dAB8c3Nn9/cUkf/77yzdd/owJH5Y0TjJgUzZrRGVisJEOXZ HH35rgaGV/t9e/magI09XIR7riYKFLP4GZKvlxk/vcSUpYVhZ1/0vyV9bWX+ dyzfE8Cs5aZuj8UWUOrRecd7WhsFP/VSJ46VQqxwbe5KrzYeM2UPrgzOAXQb l+e3oqJwX4ti3b0Y4KX5uZ34SMXtw3sd1dISof0pmzmcIf3FQEZ7fi4PlkpS osfO6eIW2Rsf/nDXwSXu6eXn33Vx4Ycb7bZdCzTfUy+ZcdXDUI8dXXkWHUA9 +sDsyk89tGdZEshoJ3ma4dkL9Ss0rNed6W17Qfqn6oEOrjkato61LvaRPv6e pfRWzmV9/Bg3NWCzg/S1nh5Gz0V9DJt/XJW9rRNobbucoq4YIG/jcM2bhlYw Sdw1/+ePAaZfO9xqtKUBbqYktSTIj0Br6LxnuIsobM84P8XtvwTe9tXbFM0s IJoj1UPQiwnTYntsxjlCQbf0Vp+sCQd+YepueHclE1weqK+tufBifJEJg4Zp E/DMndoynS+AItESFgFf2mBnOU/MP/O9WO9SJbb/Ah3aIil2XeeF8XREiOpU KgGF4408Ye6i+H5Ye5yT7OfE9546CY7i2Ks0csQrioAMiVGXFFdJ/J5Q2LPp JB0GbP6cONovj1dYjhcsMBYCS9+uUz8/KKBQ2uvd26SSIPw0d23pF0XkXv25 MnEyBqhrBTJC80oo/J8ibTwgG5qf1ymsMqih7s1a09/6bZDxZMP0NJM6sggt HqBJ0oHlx797PWwUnO91KlFwIqBRoevpyFYNXH/pCXMlOU9eZWDLnT2a2FJl k3LVlZzXXBZZcUJauCGxONlQnQ4BO3ruzidr4zDtgfuJxUJYzXi0xL+biltf zrDPCCdDfdOQ0csMKqZPrn/U0xANW5MTdcr5dDBUb6EpgZIJBkcva5/I1cWh nzo3aywaQab4p/VXaT2suFC7b9+WNsjeRh3NKNZDEw2d9NLtdNBaZeJxkqch EC4xPOcIELu5V7uonMxLk0flquR6YysbN9IU9DFc7vFMbTgBoW/STvCX62NO zp2oD+R5jF+cFGAh/WWAWyOlnvSXRxpcQcpP6CDgeOF9L9NW6I2+VRGrNgec FlwCdxeNQU6697q37zqcPfs9aa+eL9j8y8QQ643oWnQj+ldJMpiGhEhWfxDE A6m/ZV0Y6dD4Zfbr2gchzPPT64+yIvP81gWW57Mi6FESd+UJyV8Bt9ubdSfF 8L1iqbE12b9Di552FRkK+MGh35eSlQbq2jt0FLIVMcT0cWhPURSETd74M/JU CX8feAqKpWmw6rtoeb5WDT/51xmcdOqEwwOfsa1VHZOmqssjZck8/Ha2JbqN grlqnSY87whwN8/bd+29Bnbsu829QvozzfrAUY5lsr/9w+UHzt6DUD5r/BlE xQ0XCxc+l0dB0qXwwWt/qcir4ezCoHQXXueaPHfdQsP8549on/gJ4Kt3DpxN pGFm8oZhLTI/jXyDJqW59NGmfP1ulWICnow9/G0Vr4/GfNGlek10qIoX7r7N /g1ydCLbFQ4pg/Fj2JdWvQqNZsPxuan28GPS0rrFnQW/WlFv6VlEQLfstZGH P4Ux8AmrDyfZ7yPaIuLHpkWRHlLm8of0lyJpvppPY+KofOLPUI8JAXLPag6K 8iuii+e/pUDJeOhy4wJFKSXcd/r2rQu88fBvW7u1raoy5vRedjrH/BBer+z6 89GAgjqD9TcfphCQE6CfqnBSAw8ou4dPkHnP/nnAPt9GE8Nvc11yVSB5971g jqwmFft2ChvMxsYDi4epZVQNyU+Dl2pqjeMg8lV20RhFByXfMRp9s7kP1ccr PO1O0NC0glVrbyLJg4f7mM5305DvAeVUNZnv7/5slrQ6po+XLcxWYk4SUDLY o8hO5ivjx4vDf0l/mQrj+OpTWAv3FULVs0SWtVTDBXZ27JyB3Ryxl5ZeHIR1 GnObhf0Z8UyCudmFf57Q/0E9yLhcBN9uiB08Qu7P5THfW/zFYph9wBCcyPzm Ut7JNBOkiN9eKSiJ80WDmO28NcaS+XS/dt+28hRYrRPpOV9IwYjmq9pm5H4f +m/w/XKlBrbezEtIfEryZ6OwGrMrFS8cy1yXS4sGs0GGhxM/qahj0cUsXJUE O0djd++4TkP9k3EtiY0EFJuZW2at10eT37+M178kIJv7g1GswBh4vJd0m3kl A6W576L601ZgksSIpr/WUL3q/8PTkxlHRexKpS9fB2NLK6GXBcK41/q/EMMy 0n8S5zN+PBVF+yN717hJ/0+juRhH/FXArs0Nkf8tJcDj89sZZjcoofm59AHJ kliwc7992FySgiXr+pTmQgkoP7XpIZuiBlbJJdzMIvmnV9O+XUya9IWcoHsy OYlgz7/LNLeYihHF0j28MrEQIG6p50ClYfCekMJRfwKknFZzbtbTsNrmy9xN cr58PJB1UyaiH07LUDTTmfjAM2np+AnzBWj97ra6jdMUNqulRPMrimInz8Dq FMm31kd4Qt3rFHFFpKRIdGc09G+6+/L5Lwoei1IYOED6i4h7hn5PNBV3uc5c T/gUBYIPacOdD0jfpV0nWkn+7d7idDpiaQKK6SrqqZ0aMFVe1Gz54R/YyjKx sYu4gOm6vIxYedJfJkou0/73/ejfx588lxPD/6Jmiuq/kvNcdJtOrYYiGkT2 eM3UxMJyIGeQx2ElHLtp9Vn8RwIIXMsrsHWk4PSaH4MB6R+x2SHRZ7w18MfA eGY6WT+3/Ye8VI2oyKbgPyk4FwsPmxPsrnRQ8UeIfGJ8azysBG56YG1HQ6a2 m5z0fAKUZErttcdo2Lwhb7mLIIAnzrAmiqzvPeHCe3jH6yGAe+2/tawyoGWh uPDrz1rs4cLq9xJFsEu1fWmK5HWGJyljxEVFjDtRLp6QHw1hTzecOXaXgoq3 VuUFSD/ZynddeZsDFV86b6KKDEQDt9v9HxKBNHz4ou5aIsk/3H1qHJwSo6C5 Hx3X0yXBW/OjuUq8KIY+OKuxRPpL6nDiyLsFRUzOu/p4TDAWNPSm9s3v1cAt Sh/assjzTXT3O/70IRVvytmKMfnHgMTyZvfUahqeCi8Nqief1x4NNnTiEsX+ Rc0D5eT1jjQl2RwvVUTmCpeeiqYoOPfHX+f+Bwq+yPY0SO0h/blpTefTDSrK ZjwIHCmLAgHl08Wf0mm4M0Tn3rcuAvSJRh72dT9A61xksl23KhSnUJyZtokh d8iCV90kAX9+OtBmpRXxKl/K2SiHONgZY7dd356cV4GN8irk/u6RDuIo16Oi j8gH24GyOJB/Wa984j05bxb7IveR93+odPzN+m4RnE90Lh4lfUO8KlmYM1YR k7hYWdKao8C9V/uoXxXpL82Mq4Xt5Lxze6Ox7EVF+27Ea1+igPdE0GHmKBou xkkltZM+yznB8fkeIYolrx1Ousz9rz+kBAV0NZDD2dv6BTnfpIe+d3m10bCi q03+BlmP72OevKMfF8W5KpvB8yTveHbdyY7vVsTz7kVmkveiwUjwmUrbGgU7 HK9yTpKvn+PTPNSSRMVOeZbDoprRILxDaWtNEQ3/TnEFfyH7JdayEmIOk/4Z G9z4WDYWVlpVP1WbUvHFYJbu4LFYOJCZmSw7ScN9Bje7K8j3YzAZtr6TrL+M yRtiEp/rIeHAmMWm6DxI+uCs9CGIrrUw0d+tfV4RE19e0L3EFAP5jRWKO2yp WPvVc0VEOQa2xr/7zzJUFIcf8d7IIPt5XfWnX067SN+q3HiklayHPEw5ff8/ GvqlV11PJh8PHriSH7teFOs/SPW2kvNKh6nv+JsCRcyJz68PJc9fzP0iy64e CgbNHKXMk+f/w02O+jWUip8LjhkF/u/zSiYjfot+cv4w3W27TfY/RNAEpepF UIj3PE1+hgD+pT6u0HBFPMsuZWY6EQWGfLPqa+5UNIKF8vkt0fAIGLXra0Vx 3RdF7sF5AqZGdn9OoGjgy7ryjhZy/4qEPKquNpP1rHrLR5Bc75Wx+3KLVFE8 rnTNQZc8H6etvXHr2hQx9arbZWGTaNienLeivUjBlF1TVjLk+dxuuniwM56K M44F+o/ZoiHn7MvFxnwavns8sXOaPH82d7M5ay9F9ObWS5Yj/dPHzUSF3ZmK yY8ZOIsiouHjt++rW3NEUYypZZMg2T8+Hf8cr0qR+2n6KEKTXE/h0+uRca9p SOiV57z6n89G3Z7UERZFfvnmZGdy/09FmrqPViqiVfJr28PfoyA9LDJ4/zgF h62SA5jJ+1fydeoNRVLxzkrqvun6KJALOqWYk6KIm12bQwhy/3mb4rRm/aj4 YSYgU57sV/tZVcv8wxpYcchF35Xc7+KEc5MX6TQckpcTrST3i0qp8iy0EUWN bd1mJ8n9iSyo9zRl1cBq8SOzruT6LNw5jtSlUnGPWvaNMf9oeNBZKFFRQkPh 0zWs+eR+je4SevibrL+g31IiTz7Vw//9vpDh///93++p/u/x/wNpdL0C "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl1nfcjvUbxvHHllU2JXvP7LJ32XslexQy87OyGlYiZYsoRYOMUkalNDQ0 bbLJlj0K/d5n/fF5ncfnOJ+b+7mu+/reT55uA1r0T5yQkJAIk5L8Nycm+S+X lSeYr/iBTuY3ln3kCnJeeS6q8JR8uZ+9iQG6jLqD6MynYDea6C/hM30Z3gkv YBca6y/iU7vSvCMmYyca6S/gE7sH+Hu4gf66DLoDeIzfzcejCL+KSbodaKj7 Ext1pXgeeQ4q8xTe97u66+inS6/bjw48HX8ehfkVTNS9xevLmb1uO2/Az2OD riR/2exo97Wut1xezi0/IzeWZ0dvVuLJzXe85hlzMm9trrEfYLbhec1r9iPM obyW+aR9D/Me/jsetR/Pp0U219sPMTvyImZa/rT8sPycXEi+jAlxX80W+jf1 j8iZ5G36gXIVub7+HNbzEvqv5Cfkcna55Fl4iCfjb9uv5q15Hn6V9+V3831o z9PwZ1GQX8J43W94RHcW63TF+TJcQR9dOt1etOPP41c8rD+Dj/XF+FJcRm9d Wt0etOXP4RfU05/GR/qicQ9xCU/o0uh2ow1/Fj+jrv4U1sY15IXROu4TfkId u5P40L4QzynPxIM8aVxP3UU8rkut24VWPHV8DlCAX8Q43RL+sJzR637ktfkJ fKAryL+UH5fL2t8vz0BFnoQvsV/FW/Hc/AL/n1xT7qVPJe9Ey7h2uqlxH8x1 dk+Zj/HCZio+2hzJ65nj4j6b+fkFjPX6sXy83Nx8w/5Jsx7PYG61H2oO4JXN WvZdzT/MNboC9tPjGdVt1vWK51/OIY+TG8X5IleQE8e/7+dX8pY8F/+T9+R3 8R3xmeV38bHIx//EGN0PqKk7jtW6/Px1nEcPXUrd9vgd+Gh8jxr6Y1ilz8fz xvmAZhiF71Dd/ihWxnXmTfE0vkU1/RG8H++VL8Y5dNel0G1DEz4SW1BVfxgr 9Dn5ffLLKM8T+V0X6c6imy657rc4N3hKPgZ5+XmMiN+N15XTx7nMq/BDWK67 n38h94zz1P7euF5yQ3m6XC4OfPk1Y1yc9fEZNd+362+2iPdnnrEfbg7hNcyu 9t3NZPzXuHfxnPEX4xk1P7YfbHaIZ8NMwUeZI3hdc3R8ns08/ByGx2fTbKZb bFdHvifOzzjf5UpyZf1BvMdz6D+PMzC+C+yyyy+hLP8HC+1X8OZxDexP8y48 Kf8lfn+ePN4TcvOzGBZnGyrpDuBd3X18AU6hsy6J7mc04MniTEUufgZD4znF Q7r9eEd3L38VJ+N7TpdY9xPqxzOKzXhQ/zve1mePcxBD4r6hon4fltll41nj 3MNT8fujgt1eLLXPwrPJ01CG38F83Ql01CXiP8azzZPykcjJT2OwbhGvLd/t em3i5fkevKXLzDfFPZdL2WeVp6I0v4159st5s7g38czHe5Srx/miT5C3xr0X p8S5rP9IP8h8NM44M0lcT3M4rxOflTgj4rzjpzDIa8fE95fcND6z9n3jnOHp zM/impr9+ENmOfsu5m7zTV0m+5fMDvGzum5ySTlLPFNxT+PzKz8g38JcP/8e bxqfA7vjvAP/Bz/Ee4xfSx6OHPwkBuo+RVndLiyJM53PwTE8qruD7/W1+QB8 gjK6nXgjzlJeKz732IjS+h14PZ5xfk+cb+iHDXjAbjsWx72LswxPYj1K6bdh UVwjPhtH0V53G9/FPeJ9sQ4ldb/hNX1anlmeglL8b8zSHUE73S18q6vGE8nD cB8/gT66hbxm/DtxHvAS/Fcs1KWJ6xTfD3IJ+0zx3RPPhfyCXFL+CzP93ESz Zfx9pu9nNonnyjxsN8wcHO/BbBv31Pzb3KKrav9s/HtyG3OtfqDZPr6LkiT8 +wfuSHNY3Iv42yrOyTgj+R/oHa+Pc1u3wK6PWSPee3x24xrLD8rF7X7BAp46 7md87uTidhnlySjBb2KG/Tu8cTzr9od4G/4XvtFV4f/E55hn58fxBF+LYrqf 8aouFX8FB9FadxNf6yvzO3F+8Gz8GB7nH6Ko7ifM193FX8YBtNLdwFdxzvJe +ABFdD9inj4ln479aKm7ji/jOeM9sQaFdVsxV58iztc429ADq1EonhvMsU8W zyJ+RwvdNWzWV+S34+zgWflRdOerUDCeG8zWJeUZ5Ekozm9gmu5t3ijOStd2 H2/Or+ILXQV+C4N5Fn4E3eJ85tXj3nnNSl4gngvMSvzvV2PCRrmzXIyklyei GL+OqfbLeEM5q/1e3oxfwee68nHt5XZy/vhs8kE8Mz+Mrnw+rxb3NL53ef54 rjAz8b/HZsIGuZNQNP7el0fJj8gT5KLyNbzo55byBvE9YLcn/p94BuSm+svY xMvFvZXbyvns/uIDeSZ+CF34PF41PiP2K+JsiPsi54vrYG4xZ+j+Dyq5qc8= "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl13f8jfUbx/Fv9p4JGWVUZgnZDSQ0rDKyR9krM4oiO2VWVBo0qOy9R7Kz SUZ22bJD9Htej98fr67r9b7OyTn3fX+uQ56WXep0vichIWFI4oSEqOMSJSSs 1zTj+dTSagfZdLOU+if1E+XN+RH9vejKb/F85vX5XF6Sr9Rf0dfEk2Zv8N/l 9+mf138nH8mv6wthCK9m9rY+g76Qvql+iV5JGO8/G/T5MYOnMn9K9ilvwY/q s+ANfpvnN2/A5/En+Cr9VX0t7OdZzV+Qfc8/4Df0hTGUZ0Rh82Z8qV6b8JF+ o/4hzOSphU/LPuMt+TH9fejG/+WlsJpf47VxgGfznhdlU/mH/B99EQzjmZBE 9jHfpH8Ys3grHJdlRXfZHV4aa/h1XgcH+SgkxSfyzbJHMJu/hjJIhuSYYL7F rADm8NdRFj/Lb8hexiE+GikwUf6rrCDm8tYoh7Xyf2Sv4A8+Jp4RfCrfGvcP 83gbnJBlQw/ZXV4ev/CbvC4O87FxT/GZfFtcf8znbXFSlh09Zf/xCljHb/F6 OMKzu7YvyabxcfymviiG88woYt6cL9OnNv9cvz1ylDHryBfI0+if0bdXPzer oQ7k7cz+VO/H67JeZpXV3rxvPCDxbKivxplQ58dnU0fwgXF2vGS9/nY8L3FW 1KfUbrLe6lHz+9UavJP6Q9wLdSgfb3ZLfRQj5NXl/eL86YvqW+iX69N43ST9 jsixkKc1ryibxNvzv/Q54s/k98RnkG3g/+ob4Fg867gtewzvy7IgrewLvlP/ KBbxDngaG+V3ZK/ieDzDSIcv5btkj2Ex74hnkB5fme2WF8MS3gkVkQEZ8bX5 HrPHsZR3RiVkwmSzvfLiWMa7oDI2ye/KGuJEnAVkxhT5b7ISWM674pQsJ96M /YJnZZv5f/pGOMlzuHY1ZT/yCfxffTGM5M+b9Y8zH9dD31K/It6rHxX3xuu/ UffFvpSVVMuqneI5VlfENVIr8Q7qF7Er1fd4/9iX5qf1udCa94nPqL7J31IT x45QG8bOUxfw+ur7vIr3bomlicbyp+Xd9X+Kcupr6X+ST+R39I/jA5417pV5 K74y7rv5t7G3Y4diZdw788qyL3k3fkafO85A7C88J/uV34Mm/K/YCbjLi+ND WTbcJ/uO79eXwireHVVjN8euxPfmB+J3CKt5D1SLs46pZgfj7GIN74nq2CpP hKbyU7FP4lxhmuxQ3AP8zHvhrOyBuJ6ypHFPZdt4YjTjp2NPxHOAH2R/yMph Le+Nc7IH8bYsGV6QbedJ0Jyf4blcr9p8Op/E/9OXwCiePZ5/89f4Kn1O8x/1 h/Xl488y68x/iXOhf1b/lbyWflA8u/Lzah60iZ1gViWelfhMavL4HVAbxe+S ujDOuDqSvxe/Rd6/Q58UrWKPmD+j9oj/t3rWPLdah3dWZ8S+V4fxd+OZNY8f x5J8dHx//TuxI+Pc6l/Xr9bn8rKf9Ef0FbAuzrh5FdnXvA+/oM8bzz5PgZdk O3kytOTnYp/EmvW+J2RjZDmQWzadH9U/ifW8L2pglzx5fDf5+dg5eAAzZMdi 92EDfws18SBmmh2PM4ON/G3UQh7kRT7M8poTca2wifdDbeyWp8Br8guxw5Af s2UnZRWxmffHRVk+vCNLiTqyPTxl/L7wi/FZfdeX+Uw+OY4zL8XH8hf178YO iz2ob61fo2+sH61/yOvnxJmXtYg9E8+U2kXWS90Su1R9jndUJ5vXVgfHZ4r7 aP63Pj/axp8VZ1vty/upqXgBtTHvri6K/a9+wAfF5/b+vfpUsb/iu8t66v+O 66x/RT9LPiUeIV6aj4tnJfY0b8N/jh1nPlf/l74yfo2dbl5VNoW/yy/F98UA njqeUdlvPHWcC34pdjGSeF8Z2fh4buJsyObxU7FbsZUPQF0UQEHMNz8d5wrb +EDUwz55mrg28suxJ1EIC2Rn4lphO38P9fG7PC3aya/E7kNhLJSdlVXFDj4I DbBfng7t5VdjF6IIFsnOyaphJx+My7KHMVCWJu6D7ABPH78t/Fo8v757XT6b T+VJeVn+EX8AJXlbvlZf1Hyx/ry+epxZs658l/xefTX9N/HM6ofoh8ivqI/E XonvIn8rvq++oL6Jvoe6mDdUP+SD47fL+w7qM8SZib+DmVeKv1vxPur1OHNq Pd5FnWNeVx0e91qdZp5MLRfXVf049oY6IPZy/Gbp28X+1DfRj9E/6j1L1Aux 77GbZzGrLvuWD+VX9QXiOebp0Eh2iGdEJ34jfg+Q3PvKyz6R5cFjsqX8YuxC 7OHDcE1WML6zLH2cUdkfPFPsVf5P7H0Uw7I4I3G+sZcPRxM8juVml+I74jc+ Ak1RHCvMLstrYB9/H81wWJ45rp/8ZuxhpPC5K8gmyPKiFG/P1+mb6scm+v+/ CUt47f8AdS6otg== "]]}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwVl3c8V/8Xx1VmVPYWSYXs8SHrHD7SpxTfUpK0JDOyKkWSRMhe2TIyK7si MjJLREWhCGVfEiHjd39/3cfzcd/3vF9n3sfZYXnl2KWNdHR0RzfR0f3/KR62 mpGyvUhnNr57KXC7g85zZilRR9sweC9CiYvSNYBaj6eZkrapcPF52aGCg8ch ijJssSU0Gx7eYbJNkrCARgUXG0bbZ3Dhho2MU8gF8OJZf7GeVgLLUwKbZl5Y QWzkfp2VkOcQPZN/tb7ABpofdNLmbV6DTQuPOVXWEWb82H555NUCTwtT2kz7 FbhV/0zqb1o9eL80rXms4gKxuPB0LqQJAv9uvNTW6gYtGndfTtq0g3VyaU+a 8A3I1+LyVn3WASkjMS80fG7CbK9VqnveBzhQpFlcNeEJ3oLMP36ndQHKClKd +r0hLs7IhgjphqiKw3ZRKb7wjZJ2Xy6wByR/WGnsunEXJD7P5jr6fYEtb6R8 ecz9oJA7ZnLiZi8E+CRs5lHwh9aIXpdRm+/wac+Mb5ByENx/GNsSpTgAscc9 AzlpwSBjC+bKzwaA9YeN11+rB+DKFOHpmjcI1oY817pfhMLafpXqmbQh2DVv FP3vVwQ84uk3Ct8+DMGBWryUuEjQH7n3XT5pGJqFmFkeGUZBsF833ZW4ETC0 uT8U+CYa+OtvUqdCfsFR0/J8leU4qIzc+fEB6ygIc+zj8f78EM5avrOSCRyF Fc6bpssv4iFzw3Z/B78xIMp/1zNHJIIi1jaP3ZwAeZDNGQpPhY/b7E8FLk5A /ItFV+6jaeDxnXNc8tokxF1kCD3UnwbV3lasti5TYE7j0c+nS4dDVUxGP20I +BaiWvbGPRMU1y3neWcIWJ3oC6iVyoIHYufe79SagS3B3/LchrLA3bLi6vE3 M8AuoZVBuZQN+j+d35R9nAXjD8ZPuzPyQD1gO/97/t8AVrutxH3yQUbyncNP i9/QKHjqXMyFAuCy38PFN/Ibgtn/Pdit8hR+TPVf8Jifg+JavbwktiL4HBpc Fr7vD1CqXiUwhRdBq/w+ltxbfyCrWOi4Mm8xFLtEF35hmIfbCT8Pf5cugTvz h9Y1eBcgpLPXh+5aGYitPk9apSxC88FOtYDYCuBOuTTD47kIX/YpuTQdqARm 4NKXe70IW/fM56/+qwTCx2ni7IElmA2RaDBxrIJq+l0aNSeXwep7hNzYvho4 wxbZ7euxAqMJCUX37tfDf09gb+KrFZh6KlS7Y6ke9I2mvEvoVkGicaIfHN6A TDht9/D9VTiyEFy44XgDrHCtu++PXwPhI/E/Y9SaoG0LhYX+DB2esFn/E2Pw FjoNOR++96JDLflxV7bGt9ATOL07PokOW7uftL81eAfDDNn6cn10qNujHLHj cBusrPL5mJ3egN0GN9i2WbeD9PTSQsGpjZjhtOn+4vgHuP++aviEKT32nxdM TWz7DKFsCW5i1+jxi8XArjixbog+dG3jRAw9Fgd+WRV274bURjkxn0/0+Mea G+uEe6C8OvV03nEGXKCOnD7i/gVGnt7pXDvGiPKTfI+FNPtAL2x/TbYxMx7O jBLO2DIIPodKczudmFF3cf6ipvYgVDPsjFoNYcYnd2VTly4PgoYXnbXJO2b0 fLt0YOjdICjbVbKu01iQK8mfnRb6AySoiidN9Tbji+vaFlK8w8D4V3iaXpUN vzI3tnjL/wL94uBu+eNsaN/NsLzpwi/wdVyuMXdjw3kOHgPPyF+wNtQdVVjE hnRjb+zU5n/B347IfRZyW9BZi8Hw8ctRGM1jvleyZyt2eLJzSmiNw27r607f DLYif4emc4bDOFjt+HmSxXorLvboTo4ljMNAXL30ucytWD3P+L5qcRy++Hl3 bN6xDVlHEz05iybgkvzyFsUt7Cjmu/+dGPsUHO4NyOLfzo7G7ZMZltpToBLA o00nz46/IxvuzdlNAf13hcvt/7Fj4DvxhOaaKZgMqt70/AI7cumV3Z0Yn4Iu yuHEFFd2xH9jRYLc05AeatPqGM2OA6/FlODiNARpzF84kcWOnzUEGlfvT4PL T98lrXJ2PNZ1bsepJ9NgFskeIdHEjk8YX9fs7ZgG1EmRZOthRymljOJDs9Mg Ob63Zm6UHYutk9P92Qlgj315sneJHZPmP/EXyBKwqHuAqNvMgTTRySv3aAR8 n/ronyfEgbyNZgzfzhPQGG+5PVKGA5uHP1kGXCPg6f6ZshvaHOjml6F4PpCA 2NlbRy4YcWC00/bp0/EEeCezjtDOcaBJmNjpwMcEWB+M91Jw5kCbcy1N3EUE HJnfzc1/hwNZJ2oL9V8SoPKoNH89ggOlGG+8cH5NkH2iR/2VzoF0b05dXagn gH6p/ev7Eg4ccVXZJd9EwETmGdfyNxzIzXtkwLaFgM7/JlhSPnHg1QDNnqFW AipWPB7d+8mBbRrV0PmWgPQcxn2OfzlQbe8Cg/k7AoKOR3ccZ+bEccZpqTiS XenEbbUEOHF/SsVsMsmnCp6t75TmxMD99ONeJKOZdhyrJie+pp65rEOyJP1b uTlDTpQT9m0fI+2zF5o1frXgxH9BP8CP5MXTP8/UOXLizPofSw6SB5jc53O9 OfHYzb6WKFJfU8mGkIgwTvx2IBy3kBzLKvLqfBEnjvxJXRtrJuP3PM+EVseJ 7DGbXxmRfOmi+oR8F2nfbHPWE9J/lUoTwfU/nBi9QBkybySgyz7II1mdC4+d lWO6Ssargpef/d5BLkzjEGZ8Wkf6X5eVfdmcC/ftFXQdrCX9Faz9rOnFhR26 T7ar1ZD6W/+qfH3NhZs4/7EkvCL1X733rraDCzm+fH+XXknWww4uq9xBLjxY I9GTWUHm/4ZclMcmbrS3y+OIfkHmU+rSLO8Bbswxjq8WKCVgOfhqZb8pN5ba TcmtFBOQM33vXiY5W8YD3G27yfzTlz4WUPLnRhHa7ZvXn5F6dUZ1jzRwo23R tWKzPAJsHy2ycn/iRrqmBtaVHAJ46Fk+fx3mxiWO2zGx2QQ4t0jZ29LzoOWn m6aFmQTsPu4QeZfKg2c+6fM7pxDwsdzT4pAJD1IJhzuNSQTcEXiwm+MiD3om +ahwJhLQ962gIsWXB4csOmzvxxEQZTf942UtD5qVGfuNhpH5frdW4POBB1fU 4p4NhhAwLbft+oFBHuTU555tCybg0B951k90vGgQl3zfO4AAutsuyjPAi4lO 6alq3mR8Bu+slhvzIlfkUb5aTwJO60c23TrHi0s9d9U0bxBQzlJymvU2L77b ek6Ozp2Ay9F/7u6u5kVROnbRN7YECP6lN5pq48Uge65NrZfIejnFw1/az4s/ GsqZqy0JEBelFOiu8mIAjYFyxYKAL7nXP1po8eG2h0luU0YE+LPdT9l5mA9P vVx8ftqQrJcrD23HT/PhtV++T8oOEBCu8nLluicfitX13N2LBBi8XpaIquBD 12PBknwKBBR/vHW1RZ0fbb/d2F3OSubvnpXlj4P82GUaynKCkYAUiqHxP3N+ PHo2La6bjuynh/xSsrf4sXhn0Lz//DRctCjpC6/lRxE5/+eB/dNgviWhJbeT HzU3X2HX7Z6G/6p9yuuG+NE1wOvLV3JeaYkZhf9hEMCaKa6jZfXTwD08SjU7 JICnpGdO0+dMw+aYdgWX0wIYXkicaUubBjqDcpGgywJYdl36hkf8NExm3/1b GSqAZtltoleDpqHBYXu+aJcAphZRXVkcpuHanAnnr9OCOHfy6ueS3dNwOVNj ff2yIPIwL8xmi0yD5Ykdk/zegjisQhu/Tc5fo+fTDYfSBPHkmsy+vg3TsMcz 8MbTYUF8IlXGcrh3Cno2vh646iiED9QU/mgGToEmp/Qz+tvCWOEgwL2naxLe bzBvaQsTxgCzV+P7mybh/GzgUGyaMMa6L5w/WjkJfh1jfFJ1wsgYTS8rn0Ge D831OcIggr8m9qpscSXPs0odiw0WQUH35Pb7bOR5esn5PQ+34xYR+pBtlAmw +ReZnGUmhj4PM/d1XBqDK42/lJ8dEUfhRfYs+vIRCDJn3LV6WQIbK/onMr0H 4WKTp7Wi7W4si9d43LqxF2qZBI46nJLE0wZsdeePdYEih0/smLs0Clkki48N NEIFc7dkk5c0XhxoiGPPbQQ9OrnKTD9pvP7cLfG4SyMcJ3q/n4uWRpZXkS+U NzbCtTY1qc8l0nj6lo2G2a4GeBVIVNb9lkZaUUphuEs90DaeG0x03ovJbLZJ nyRq4MNSmdsNj71YH6ZoUfnjNZjPsjGe9NmLN1vddMS9XoPDQIU0Z/herPw0 47v0rBpCq3nd7z/bi0W/WOZ/C1XBx5vvGa9O70XpI0G7TBgr4NyctozRZRk0 l7F0/qBQCmycdB0f3WVQ0VAKrTpKoEKhzu30LRk8w0JkpDuXALeTQaVtqAyK HLt3TqGkGJpHjQ7dLZRBca0PnAtYBArfztm++COD6iZX8DbDE+hf2cEGqzJo ZcGy8f2ZAggSGn7WwCCLP/kDy1ee58Owme3fTl5ZzNRi4tvlmgcPu5z9p9Rl 0fTOGvvXtWyga7mTKX5LFnc/WQrT9suAJ7+otNx7slipklq0sp4O5oyMk/Kh smj+V0jGwjsdSqlBytqpsijCvO283N1HYFsdWXeyVhbFH1lK/7RIBZ7+49bf WmSx63JOOPudFKj7x7v5UqcsDvWXdajkJ4PwvsSjrkOyqLaJ8CrhSIKOkoyB BwxymJtRFC0pFQ+3Oi/5cW2VQ7GFB5VN3g9BenaPZAKvHN4Dqdaar3HgJ1dw JXuPHCq8ei9cmxULikecuOQU5JB3j61YHXcsfHNQeF6qLodzv2I1OINiQD23 dK32oBwy9z9StQ+IhpGma+m0Y3K4eij94fFt0RD5U92g3VwOpdO+LRklRwEw /Bs7cVEO3S3cW/QUo2ByZ1VIn4Mc1qQpyPG9jYR4vduKF93lMJ+rsfypfSQY XND9NOYlh7tt6yUntkVCWkqD8N8QOcy0jjr51j4CEi1kuk/EyqEs/WSux44I iBWMiihNkUNDPpFh1v5wiOhZMuTKlkOt3EGXc8nh8CD2PKPrMzmke4DXDluG Q8DxppqO53IYcv6jYv7ecPDllPOUr5FDetHV/7J/h8GtjmjV0GbyvqHiHo3Y MPAI/UdMdsihVVofS41uGLgdtswz/CKHtkwFX0f+hILT5harvEE5jFKkOZ95 Fgp2zfKiLOOkvgDO/3qcQ8HKP/aLzW/S3pzdMNO+UDinvxrVuCyHIrMbY9KY QsF8o5XRrk3yeH57vLd5XwiY1rQy+7HKo5rHx29T5SFw1Fux/geXPH5g4xXk jguBw1oPb+kKy+PfbRc/BnuFAG15TS1NQh4PvibkeGxCgPri0u81GXks3Wps 6mIaAjrX3hWcUZVHbYUFbptDIbBPRdnmlbY8mgQqsrzWCwGV3/E7hAzkUUiy tEoPQkC+kK7vhpE8ntMu4qslWdrJJrbHVB5TLs9+3qwfArtk3v+ndk4e6xb8 n88ahoDYuAprrI088qkqJRw+GQJCOYkNf67I4+LNuyx/LoUAr/VGHxMPeWzl +O1Vez0EOCTsNIp95PFpcbNo1IMQYPvR/oc9UB7n4/oTaJkhwJRGeXYlQh7p Fhvt6qpDYOPZZLv38fK4pe+87EhvCKwK0UvIpsvjXrehrth/IbD4xf5bcJ48 Grscb6oSCYXpE+omByvlMfWndDavXSiMcaVuyakn/Te5+0IsMhSGPzA0M76T x0LbccK4KhR6j3RpvemTx9yrGR0/BMLgM6vGX/EReUyzqfkjZRgGnS1pRXem 5PFmRPjOs95h0LzfaTesyeNsss4O6/Ew+JpCz9y/TQHPFdy7tu4QDj2rapfY uBXQRavlRH9wOHyycKjT5FdAKQuCKbogHDoEO70SxBSwsjG2495MODTGps6e VFRAoRa7G6d9I6A4VKO385gCflFT6PncFgkXErcyVJgq4Nj87wm6xUhgz/kh 98hcAdXfeLNOikeBU22Q7xVLBeSfPCC/xTMKpP98lWJzJe25HI8oVYmGL3TP TOauKiCn6oP9Oy5Fw/0td299vaGAl95MzJ2PjYafu/d+yLmjgIOGRX1W/6Ih /ZSnx/4I0l7cV6aP7TFw1No4XSZGAYu0EiplmWKBzm3nO654BdzjTTflBrFw 9sFb0R9pCqjVkrP7Y3EsCL4WavIuVMABhqP/mWTFQaTEK54X7QpokfbKgrEq HnQVwyG1SwFLzD9m8DMkwIy2lZ1/twKGqxjdOmuUAEYn2aqOf1dA1qOl2xOG E2BzkIXV7DRpb5OVnr1YEryMVQjt+a2As0ev9BW7JoFtBv2L1wsK6MF4ycai MQkaXxWwhq4poPFAivW4SzL4EivF0lsVsYfDbjD7awoornT0cXAqokRui2qe eioMMGcxLvEoYuBaeojuw1TQET9i3iSiiMHMJ6R2y6XB8vHkDVayithw+YiX 8UoauFVo/5d8WBH/WYxX3XxDzm/zpo1f/lPEibMUb2mmDFhY/q+M+4QiZpdd PsZlmAEemlaCD84o4rdIuz3ZnzPA61XQ8E0nRdyVUpbtsZoJVRbcceWuihim KSgWdSgL1laSD/6+pohy7UdFeOOz4I520VO724roY6vd5qTxGPyruz3MwhVR vGYsSTgsG5rOXtgbHa2ImfrJ3bKj2cC8Pt7f/lARUfx9c69eDgTBmt6BR4pY /M98m9RqDoTVSGyhFCsii0nbZkN/8v9V5/KI66MiGk99amCefQJfLP+ZGPco Iv2xCxHaNk9BcNM9xuA+RRStfCXi9/0pJFMfOmwcUcT5Y/j60udnkP6mWnV2 XhFPX3y2V5YohCEr2qjMsiJ6hK/7ryoVgQRDZ4LtmiJ+FrMvX7heBI/3j6x/ Z1TCDtPmdTeGYshvZG19z6eETL9OuW2RL4FJ6xivzcJKeNNP+UOcVwnIMYnK G4gpIeeTD9KX35ZA4QGl6CpJJTTLF324ybEUSpvNzhbsU8KYYvsHF2vKoLo1 63fgaSXspGzJTMl/AYX8HS63zpHvFdyZ2FheQob18ozzRSX8L1T1eZfNS7i/ 0Zg46aCEfL6tj29LVYCJxuLELk8l1HT76pZbVQmjuYdGahOUMDlPs0Bd5jX0 /nW3KktRwt9vPtQNpL2G9/tTh3LSlZC6UHD4AWsNlAzODYblKaHo+Zfi4n41 4C2Q/O1MhRJe4NC+N+tdC1yBRPfSFyWsHdXUcE6qB8ZugZNT/aTe2RaxpaF6 WJTQ/zwwqISWp0rvXJB5A99qHn5sGlPCkbEr7z+9fgM5i7ofYpaUcGpuB53z bAPo2Ea3Kgoo49R4mb6jTzMolFcf3CWijGO2fSpen5thJ/1YM/8OZZQz6bLw km0B5jTtpnVJZdRRkvc1+dYCXd0/69vUlXGrp+eKq+FbsD2wr8rOTBkfdFoo bjr+HqYkBRqKLJTxmNqGzSu178F189K7pfPKGPs4o0ZQsR082170BdopY5FP xOFLLB0QaqK+kntTGV0OH+Zbme2AsnNqmuNJypgpcTfm5bdO2Oih+tJ+UBnz XDarHJXohoBTPLXFI8rIRH9sx2HHbmDTnG9eHlNGEZudL9vKu4FnrbQn6Dd5 /2n/3vOGPSDpp7KYt0kFTzZm/8u5+QWMwpXVJnap4P2TlwSfzvRCYo5imYO9 Ct65o3Z6MG4AGr9cbE51UsHD7IetM+oG4Pfm2N4uVxVkWtkhFjI1AIcclzdo eaqgi+jK3i7qICwr1huxPVDBwjvB1cy/B8Gs8vhowRMVTB2ZEaU7PgS8768L Tc+ooJ3r4wcCEj9Bbz1XTnxeBa+1MakpH/0JTgp9uqZLKritNFhsv/dPaIhE 2+oNqjjmPrbhUM9PcD/JUhbKqYqjBf4LacG/oGsgwUheRRWXtGPOlUyNQvhc 1R3n66pI/fD8V2foBDh2hl+w8FTFkePanyZKJuBQ0UVd2m1VHFg0WCrvmQCG KywbxAJU8fLRNPuTOybh5vhxn/ZYVRS58oDn/NNJMGvZc74yQRWjq3K253dM gmrOMmSnqCJ31oN3Qb8nYeZS2rr3Y1U87vlty4LKFFwanPCWK1dFWD/E86tk CvRqqs8KVqgicyCtf3/nFIilRugwVqtiatA9TdaZKfhqobbW36CKn9d2COVJ TcMLzc3fWlpUca581NB1/zTECPZXlbWp4hBnyHPv8+Q+2ON7K+STKoavx/ju i54G2ecnztz4ooqOW+IzPhSQ+1+spPalflUs/nS22ucNud+ZvF/RGlHFItUt QjMz05Cu9KhPcozUk6WWGMNAgA+H+yvuKVX0ZbXnEREgQKNdwGvyjypKOzSb pGoRwP908nTPoioK5sdP3z1MwPyD15pvVlTxfK1mvOhpAjodIoUK6SjIe38p 3pHcxwsPXfqXSE/Bwfad3I7kvh4ipd4bwEzBvR/WY3fcJsCembXSjY2CYXf9 PaPuE0D71Z9wjp2CyYl6fe3hBOxqLLxpyE3BAb59MqNxBGzMumuuxk/aF+/z mk0mYOCuqcZOYQrKH/G/uSmDgCpLKcFtYhSsfn3AQC2bgATdlaXlnRQsK4g8 9jiPAA+x9i8/91DwwB3vi3ZPCDix/uhl514K7oyNa4l7RoDSN/f4ankKqhc5 fDUoIoC96sCNPGUKeizSZwUWEzCVKHgqVo2CloLvepxLCGi9OaXuq0lBr6B9 g5tLyX3/VA2/E1CwSRl6L5J8Tz1q8RSVgg7P9oj4k2zJZ92z/wAF9wukaN0k GRfUXygaUlAs2dLwAMkin1gfihhT8KKohugcaX+55Nt1FhMKtom1+fiS3BNZ dHLelII33o6YLpF6ylz81AbNKXhl8UybOcmR/53kaztLQex445FL6neWl/77 wpKCKYUcbr8KCTiydfVzpjUFn++qtuYlWXqqvTzcnoLHZK4WqJH+j+RdvWbr SsG/n58bnCDjc1xk7VvONQq6Pz08plVAwJsw/wNjNylI0QmQ588nIN09jt/+ Lvn9fXHf/BwCOH+J3skLoKCx5/RuKzL+d07ljI0HUzDLPaiQ4zEB53VeVjhE U3DiqWuhIZmvjkLdnQUPKXj9apl4zyMCYGdr8GQSBb1tXd1PpRGwnbnXwjGL ggE8D/ZpkPnu+7Cy5lRO5idTy/JKLAGH9e/ZPKugYDYhJpkSTUBl+ZYOopqC 6UZB+2oiyfwnbn/k3ETBnsCNO/tDCTC7hFTXHgpu5Q1ucfEnoLm7Ob+4j4Jr ZkS5kh8BaoeOcs8NUDBUvuXW8B0CeOUtR9zGKGg1w6QjcIuAj4t3A64uU9D8 Ck99lSsB+g5sM2VrFPJ/dLjx3xUCSvqjzRY2qmGP90LHHkcyH3VZUtdZ1fCm Hds9mg0B/z1oeushrIZ3FR+IpJsTULNmrPJSTA21pbm4DU4SIO/Sk7QkoYbD u3R3fjIhYKvpmONNWTX0i90jUEL22ztRVnYvHTU8G33qvpU2AVqRUR6v9NRw m+TtMyf3EZBPLzy4YqCGX2W1A5RUCQgakym+ZayGCmEDwWkyZH+VGB2/fV4N p0ROjBwTJKDeIPKhr68azm++3/qRnAfD1pVtN/3V8IX03uMPJqaBPmB4o1uQ GgpOqFXv/TkNBk0Ux4uRamigNVGzo3caWg/06uqnq+ER/9agX/XT0EmTmGCo U0NlKVmdt+HTMGd7RGytQQ3jbvtZ/A2cBu7AaycWWtQw8p+b3+a702Da0vz6 5wc1DIg4KvjTfRq+HnSMbhpUw0MRJXFuJ6fhx6Fy7cAN6hic2rWyyDcNmxy+ u95hUMdopuqs5G3TIBHMnHODRR0Nic/PpZmmwfqtOac9hzqWWh8qXJufgnHD 9Z+Hdqjj5Q3heyPJeTt7mBbOpquONdajnQ8CpoDO+OuPMB91fPMrg0P8xyQ0 V5/Y6e6njutnREMtuychXO7DRbP76hhVzCIY+W4SxLY2D4uFq+O5YRXx1+WT gG1lP4tS1bFZLkrXNGgSfAwjxruq1fFXz5BRutwk0NFov/lW1fH+pa8npi5P wDqWb0i7sQ9j9GZ+dDePQQDf3yOdARooaqTJt69vBK6YX6z7e1cTYwY7UWhp EAbuqFhBjBYeOpmjzmzZC1xR8V8DH2kjV5fIBZ7tXZDFLn2jKVEHW84FKqvk NIHcz1OL9Gk6+J4xhmnCoQnKKwOv62XqYOJs3Lda+SZotB67WlWgg9Z3VfU/ PG+E0Vc5riVVOmhaOVzj29IAMnZ7Lqd+18Goj6MqcXP1UFwrce76TsCgy0d9 KdY1oBF3/FvpHsCnrhxxw3I1UH/Z78zvvYDudluX7xOv4SPf8GlHFcBgFY7s fdyvYcExw+zifsCSgaT2YMsq2CcofszYBtD6c6LULe4KqHEV3b8nH/BRDFXx cl8JLM8T4cLPADVUHK4b+5WAyo2aPo4SwPlEmR0tMiWQc/uC+0oFoG3O/fig 28UQ/iAj40MrYKGjlkq8TBGce7xno9c4IKuL429H4yfwUGrxiMs04K0vvmxE aQF0FjTHW/8GbNBrlWcWLgCDEjvFo8uA/AosMzuJPOAbOKHAxYBYJja8PJmb A+uTcedGuRE3LUqPP72RCUlyPgxDvOT73d2bP65kgLqzbX4/P+L7hqdOO30z wHVO/W+nMKLJpaclNlHp8HPpS2iVBOLVVxedwj6kwV3NOpUXuxE52Wnd22zS QOxW3tdiSUS/0JGtzGupYE7nuTtHBrFz6Wdu++UUeM8oXB2pguS+X15ZF5AI DjR6qxByvHfN5HKF9iYAc9AkC1me2HLAjJapkgB6W6pO3NJCPKz7LKJl4SF8 N8r6d10HcXPH44sD5x6CV3jII1dEvCDHGvnf+zgo5zo7ZaOP6HG4xUetMhZM ThhEWRogNhWYNWTti4WZWLl9Z2iIdCrp8RZVMSAtuO537DDi7uHHH70+RkPT 6V/SR4wQTVOD6t/ZRINVcnvHgf8Qjbi3dSjRRUOKWJqw9nHEZBmvnUsQBVuD FJtlTUk9+S7CQ6ORcHuuzm27GaIO23zn+dhImLE4LrrNHFGh43z7aVoknG8c aV0/jfjCwnmuYi0COuSvX5s5g2jO4j928WUE6MYziw+eQ/Tk6dim5REB4pf3 3qi7iCgz4n+BaWMERH56JVFyCVFPnzCveRcOm8CoI8MGUf6Zm5dyYji453z3 jLZDDAmOv6LnGA7DHC577jkgvjVwmXivFw7HPTd2XXVE5PffwlUhFA4Nw1He 1lcQpwbPbXtLhAHFaJf0SRdEvrdHTlo/DYPHz8s/HXBDrNBXT2JxCwPeHbQ7 6lcRpXREs25qh0FA0BcZqeuIJ22uj3pvCYPFOfsegRuk/anit/0/QsH2zMrd zZ6Ia/ORSuerQqGnMUT+nxei5WRHREdSKBxUEO2d8EZk+zQdsewTChXxhf59 PojleGNXgV0oSG/SU2rzRTz+e4tFqWkoJFzu6q/yQ7Re1p0bPhAKrJ+tAp/6 I26X1HNl1w4FL1hQSb1P1vN3h0RWSihM5gQMhAUh3nQcv/tUKRQsOAUe+DxA LL56MvQDyW2eeWouoYjP9ikRxuR5nRHNoQvhiDc0A/gYSXtPjdpCj0UiHgxL ye40CIXtL85qUKMRj0nPVceYhELYjpkR5VjExEAhe8WLoUAXfCdC4iHZX3Wv 0gKvhoLzH05tngTEfPuNPneDQmHgTOYoQxJiA5+8K2N6KBxtUo1eSEakXz35 33JlKCglmE10P0KMeB1fMbAQCumbxmObMxCZ9wsY5POFAZejp97LLLI/jff5 xmmEwR9IiU/IRbz+N3Y5xj8MrHLl9wfnIy6cePMo8FkYfOKsnfF8gjiRz0mx +hoG5SNDB84UIS6nBu9pFwyH3cZX546UIG5VUef6oxQOcS8YU3XKyH791S/7 1zAcPIKlFkRfIvJEslf6+4SDhuKVzB81ZD+YvQ10mguHvAS6/7rqyH6o2MK8 kzMChOgj/9W/QaykFIukKEbAyufSY1nNiH2y2ouDrhFQ5bVMZ9uB6Hyi7OJ9 sv4Xnv2c8e1EZNd3u+6zOxIUhjoHkj8isoSGxloYR0Lmwfyarh7E2243Auoy IiGI18IHBsl5tEOqzOpkFLw5SHM2H0LkaGcSeugfBateKuevjpD6O06oV5RH gfMQG+aPIeo7/I3pEogG08Kqdd7fiB+l/FZyJqIhfCiXUPxDzq/LdxaTxGOg hTf2++EFxJ4nBZ5x5jGgdcvpte8yOT/UhlKetsWA+CHR29MbdbE3oKytuyYW iCGftQYuXeyIkd8g//0hSPI5Tg/w6KK046RVmmQ8WB469e0fny4q2+b7WbvF w+dCxWpFYV1k+OTAx7IlAV7d+nErWUIXWSWO5p05mggLhe8dX+wmvx85uVfy cSLID1ec6ZLUxZsipo5eK4mQfihKm0VWF+8Uj58beJIE9/n0V91VddFDZZeI g0QK1B1SmApT00Wle9s0zP1T4N8t4f68fbrIpfFElHM8BZyG/7wa0NZFfFOV tFqeCseLsrwOG+iiWb3C+LeSNNhhyLSy86Qu9mS074uOTQeVT9ROwVO6uGEw /0l4VzoYnPPJ4Titi95hr9pjOTLA3m3p+PpZXbwif3bxQ3gGlCZOPPlqrYvR YgGiAUmZ0LhL0u+DrS7+GE3QOPYjE3qeWZk32+vi8nkZvcNSWbBa389Y7qSL 9c223wYqssBgsv1cxDVdfF16jF946jGYXWOj3PfQxWQGWsakVjbY0x1ku31T F63nd/zlDs2GMO66F5e9dVHhoHicr0oO9GiVctD8dfGE3fB+x8hcsA95WL8W o4v23IUlV+IKwIvvU/x8nC6ar3aonl0vgNBHHM6T8br458duUTq7J1BSFiT8 NVkX6wQGR67pPoWVfq+rZVm6uM6c9prYVAhbbV8aFmTr4uO5P8OsUAg7fs/v yMjVxZLYwkpBz0IwYLzyPvyJLkrs4rUTWSiEMLkLey6X6eL5HW1HOReLIP1F 8qrlc9Kf4u1KoprFUKr3tevUS128PLbruzr5/+8xNfE5UKWLnXKPq1M3l4D4 7f1fxBt0cZsrxTterhRK26WCv3zUxRc7rq3KPy2H8J21WcufdfFeSPZAz+bn 4HDdrEboiy7aVVFOrto+B3HRgPkz/bpIVd9u2Cr1AsKchs/9GCH1/3Zwnqp6 CfZbUlUmFnTRMGmDCL9KFRhcoBizLenis5dXcm/lVcGOsjY72X+6+ElW4We6 eDX0WKykXFkn/Xsgk63F/xr2F5xi+cOkh3uvqlqGPagBMUPubyv8erhp5b9R /4o6WEnJXxQR0sM59QnXTPp66P6txwUierjI0hJaY1wPoQkutDs79HBff4jn v9F6+Df2vphBWg/zvo3z5e1pgM/3AwO2aurhxtWsAr3uJijuE0uX19ZDI/qP PoxKzRCi8OLVf6CH3cIqHgMhzaDf83M2kqqH3+Y0A3ppLVC0R9+C77AeFji9 Orv5XSs8aFxTEDujh5ysyTObmd8DuvxUFDmnhy6aRgcvOb6HP0LvlQQv6OG1 5aVvr7reg4VLsgr3JT1sM/ZqsspoB1lhLXVmRz0sJ+6NHcnugPcuN2DGSw+P qTVJH7XvBHaRP0dqkkj9fdOdUkaf4U1Tr1FVih7ekLf3cAv/DB6u9cYVaXq4 puf3WLnrMww0RR4tzdTDe1bL3dzm3VDkqngip0APhU6La+x37IFjzU4W4a/0 8NYBi9TEnK8Q5TZmf75PDwPTThU7O3wHQYObLibf9NAncMMa+8vvkM7P6mEw oIe1aRHPb28agOIqmXsyw3pYrH5dYODoAHQwOacuTughY6TOkaMzA7A1aaEr /J8eNrmPG8ko/4D7bzZp1wpScZfAM+fElmFgj4umlgpTkbLvcYrT3DDE2e06 lL2dijMbapcNREbg8dYDJ0PEqUj1o6/Z4DICDWZBLqekqWi3YBnvwf8TNk6x P57dR0UBrqAbO61/gRfP9m3ip6jY4uAazDQ7Bm1FLOZwmooO7VE97ULjsN1o PtPiDBU5LRO4zxqMw2v/dxpxF6gYF54ZVpMwDhsXb1qz2VNxLF+1nYYTEPC1 u2rhJslh305f8pyEnmv1zNy3qMjnhU9W0iZBkuuZieJtKhruvG6yvXESWg39 xxzuUpG/Sog2vnUK2KpUeAaDqRjlv792KX4KzpwSO78WQt7nnCSqXjkFT+dZ 84XCqVhKbaK29k6BsdwQmkZTka1USKRBcBoiUyMuv02ioncKs/pA6DQMad56 PppCRYUNVw6H5U6DSo/tRsZHVNxZ9vCsIrlPfmLHh5hFRaYiubdb5qZh95O9 Q2eyqbhtl1TKbhYCrh3kk/PMpeKXEtudMyIE8PtO15c9oaLsCwmmk1QC7LZ/ 3dr1jIr+ZjrqX8l9uqKi4dRMERXdNyfX9FoSsPlkUeaWUipeGOcwMnMm4PRc EiFdTp5f+st/zIuAgrD7GrQXVBS+rJH4wZ+Alb3u9y5VUHFK8u3SSBgBR5rP dfi+omJWLhMtM46AFCtDobRqKprS9d/fnUIAQadmXVVD6k2qtArKIACTxYu+ 1lHxVd5TGyKbgPB9W1f+vqGiaxKz1dV8AgY/LRnwNFGxr1GNTfMpAUquIxFK LVQE1SdfLAoJ8N36oc/4LRU7MoLd/xQR0JX3ao9jGxUHeOQs+EsIkDiQ4xrU TsUg/srvvSS7D0VVZX+gYt0+FiPjUgIabt9mbuiiopJTmYYPybzCDiY/PlEx aYraeYNk6xemKevdVERWQ7X9JD8/rjcm/JWKPEvaXWOkPeZZWRWNPip+YpV7 5EiyWYjA7ZPfqLi79ZTTp2ICcqUYWt0HqDgqZcOxi+ROYd1/jj+oSNP5c96R 1Luy7ZaMzTAZ//ZI4yzSH6OFP6GnRql4e4xNYpz012NMoebYOKk/zc106QkB j/ouzxpOUpH+RsTASgEBf+qGTXRmyPjVSJwZyiNge7nYPbXfVDyo82RvUy4B B3ItyhX+ULFYe5n7UQ4BCWEf+XcuUjHj6fCY2mMy/hZv+pno9JHO7PqRuTQC 7I3ptm3YqI/6q0PKQakEROlp4fImfdQryjDnI/P3U7I0fZJJHy0lDQe4Egl4 MJ9h82GbPs4brFEiogkoH/3+sJVDHxt1xPM/RRLwvVeotZ5LH7n+6v3eGkHm ry5KppxPH1sEP3KcCyGgJ/TubIKoPn43Xm92ukfARt/X4tE79PEXs5OoyV0C 9l79ZxKyUx87qowNpe8Q4H3arfz2Hn2k/75rSyFZjxKSFz2t5PVRqU7iIocb GT+h1IIzivoYMxmV4EfW7/Wtvf2myvrYF/jDatSRgNY/x/Cgmj7Gj67d87El 4EqtHoMc6KPTxbM14xYEPCz1puzRJfVprZz4eoqAuuwKGzGqPi5LW+x6YUoA d6hSK+cBfZzylTuo/R/ZP+biYX+N9HGmuTXzkh4BjH82CNSe1cd00/OvZ8UJ WCx8GDp8Xh+vP/nwxGA7AROO8vTMF/Xx6b78pjsCBHT8siCMyIWz4sBll9xt ZH56nzf0XdHHP+XCAc+Xp+HBQyNNOld9bLDl+ESZn4bbJ0YKd7rrY1XGVZcE Yhqs2jmT7D308fZ/J7q3DE+DXL2j66KPPm5XNj/z6O00iPnQjwrd1UetG787 dBqmgUs78Qzc00eh6jS/19XTsFjeTPMP1McPggFW9kXTUJe3U5Q7Uh+H5zam WMVMg2nkl7fyGfpYRFyZnTg5DTRjZ12TLH18lbwaWmk8DZpsTM+vZevj1cQf VU4HyPv8VdKr8vWRo1dS14cyDeM3wjwMS/XxGI9AhgnXNHhf2L/LpkEf1QVP sQ42TUG2QpF3yi99jDrh3LNl+xQ48cwuPR/TR5c3S1oDnFOgsqxw9cOEPi4W z2YnM01BTX2hA/2MPo7LFQd8nSHntWmhmf2iPmasf997sW4SmG89U6Kw7Ef/ 2k92Ixcmwbblyc826f04Yqo0ahA9AVKWeUarjvvxP4GkW7EfxqD34MviExP7 kaO8al5C8Sd0ZtyUBTcDbHE+d+TCxh+wWHJUS/y3AebxT1VWsvfB+gvXMn+n Azjw/ezdjLMfwVDBYL/X/AFUiilT/dvfDHSfPm1w/3sArzQ+9XTOaobyG5eq HZYOoF5CauQmx2YQr/dTO716AId+NTh6rDTB8ol6KQ0GGjq3lt3KEm6CPE/c ushNQ4nbbAsnLRuApUmj202FhrT2bTY1DHVQ7dAa5UChYTMdv9quD7Xgzm7+ 30V1GpbfZ3AuTKqFgVM3Wo5p0fDNaOxuLZVaeDH5vFJRn4aTXnv2qV+qAVtO 1TTChIZXXQ2Zg1OqoOmMvJ2DGw07d8kwcEQ8B4N3AvYhV2lYqxzCLiPzHBo0 6B2eXadh4D/mXz1N5VDP9+XynCcNY59Xl/2mK4fXH3ydPf1ouKKZ0Xn1Zik8 3//5enAMDVvm2E/dDikCSmmNx5M4Glq9uSayS7kIysTzb7TH0/AJHb9XxJdC KFm/7cmVQkMd0XrWdslCePZS6nbiYxoKR50//yz9CWTL3vLPf07DxDGGgcfJ ObA7ySag7SUNNQ2jQnYx5kDW5mP3iUoair+6V9/hnA0Zv3YHKdfQ8Og2wrT3 8GNIfdQRUtlMw8PyEd+27ciE7eyVof2tNIz+45MKSRmQ7J0Vtv6OhnZU77l/ AhmQePpmBPUDDTk2XbQ7JJIOcTwSMW+/0HDpr5f+Pf004PXbGjvVS0OjS/eT avJSIeb3Yuy2bzTs4l0XoHamQFR720OTHzT0ZLt3cUEpGTh1XsRfHaYh15tj QLucBBEF6QlxP2l4SkJnV05+IoQFXk/qHaehgjiDS61WAmxdvJC8Okm+jx2C kNB4CLE+nCJKkPdlz+oG/3wIwdQdaRfnaPiRVTJXOjcOAlZbMyb+0bDda8Uy 0yMGjkcLzP8jWYLT8HWnewyI7bU1YFuhYfr9O94bXWKgwoxhTIbksDvau6zt YmCyBOScSGYP5OHQIffV/+xLX8yQLMlyyVBBKwYEu5Pb5ldp6PR4MlJkQwz8 dJzczrhG6n0sIuCxGg0l9JrOvCQ7vH6z1rUUDYeVejjVSK73nPkV9jsabodw mnmQPFEnLMc/HA3D1IAfyyS7v6u6bN8UDYVfPymzrtMw1af269f6aLjlInFP iORIlHx8uCYaeFNr92iRvH9HwnGVl9FwcPnf5Vskt7I5sXHnk+8jDlWHkNzU PHohLDsafuyJ35ZCsvjmKi62zGjwOkEpribZzWwqmCU5GmiTfpvaSRajZzoW FB8NPHe7jn8n+ajLvBtbLPm9gPhjgmTLK3GzYZHR8LTQ+e86yU/b3rZyh0XD /wC+heic "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"RP[t], YP[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {373.3333333333333, -210.}, ImageScaled[{0.5, 0.5}], {700, 400}], InsetBox[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJw1m3k0lP/7/ylEtBGVkOwkuyyD6zIYUkklSSRLCCVLdkJKlF0I2UqWJFnq HVKyyzJ3diqStFDZt5Tf/Tnn9/WPM2fm3PdrXq/rup6Px5yZvTaux8+vY2Bg uLmegeF//4Vi/t7PEHiqJZSQ4Jv3lkXT8OUGo3GH33A7NG026SoV2jcdYGOy ZECXlK9TTr8uAzVG73XeUVbMvxflmS0XB+dlVzbJb9qKyuW1DCdrCuCI5Plp Hv3t2FX9Xi5btgpKuwOvtKjuxOKUx1YX1uqAwin1hOkqH/obCU7TVFvB4U/8 vVwzQfwvqr7dbFMnuDZ+VXxyRAiVsx6UzGwlINKcRfSviwhqitjF234hwLbJ 317eUQy9r1XvlPxAQO2GXcecT0vg0oFnR9W5CZDfFpz03VMKXVwD2hbed4DV rKa0kYs0ZnbysIw4tUJWRgPfYpQMJiq926gWWg+l0epD747L4bqi7W8t5qvB o1LT+N5heZQ5KbEUe7oUalpzZyLOKKCW7ehJQ8dscNRXe3nBTBEd2P58SSiI gbR8+QpnJyXczBfI9KT7DsTOvgy57K2M8+CZZMT9CL4UXvFydD+A62dFGX+p V0IdLT4lNFQFh/ECoclYDwxHB0djglWxL1Chqb6+BdbwGWOWrxqe6Yg/PGna AeE7Fo+8C1fHgs+X+Kc/08HV3PbN4jUKvjmd67L1BQEjIUp2cEcDT1sOLdq9 IYAr4e5gRLYmUm7vL/k3SYfcrVK+TWlaaF+Qkr/W0QGv3ffoiT8CfLbtxa1X 7K2QIZjFp2mCSPcp/PkroR5eBqwwONIRhxMyUn8vvoS9hzasCp/SRr49Kr9c /EqhvFPy1kC3Ntae/0tZeZMDtxv/yQlaUnHVvUSmqzcGEjy+O517T8Ub6wee W1gmQgC3wBah0zp4c4VjrSkzDwokmVs9R3Twq4SGUdvmF8Ayx7ir9qwucs6c 1FlbeQN5ck+DMr7q4lkb95fvj7SApE2h0d+LehjJ70l5d7gDhg6+KD05oYf7 5YYOCjfT4d19v/3gQcNhYebGP88JWCo7piE0Q8OkWTs2/lYC1v5zr7hxSR/D KhJPzewm4JAcTS9gXh9/qiisUxbshCZL2QvOHga48+r+vV8GWyH8b+v9iT8G +K3cmo19awMUl1xeXFszwLBI/+yZkXpojRty++YwDOm3hm+fdxABwb/P0/8e WIJDM08snALPwM2Ol2MnTZlQ/+dvJeOCEGBZ5PvFpMyB3YkNZqWTGXC66Mma sBQn3h6ueFPAWA5esyc4v57hxTtSR/R0NZsgjEliXjxFAKuObj4m/q4NJs69 dJQ6sReVrQx6N9jSIWCrt7SppTDqx5W8epBMwMLWWr1kJ1F8WONpqb5CQLxD 65mOc+J4Z06f/14sAb632zykHCRRjMuioPQMHQzWWX1Ku7wPU2oDS/xb24Ch JeSBUOB+pG3ZUywZ0wTxItXc/3XK4WMdvaCdEc8h5Y1bNle3PBLn7mfOHS0E rojffcsDCnjtruOnX15JsM5H+YXTJ0W8yxKgMyEUAzwd3rt/TSnhqNaPzA0a 2aDeuStgck4ZTwU1llaklsGo4TPNCEZVpHwpj29cawQGA4OZHX9Vcezruclc 5TbQKeoVf8Ggjq++iMg7CtHhj+p+1i/MFNxz62H4Z3sCJH4dSkjj0MCN7twH 0gcJ8NvokGm3WxOVfdvCPrgT8J74VJAvoIVVXc/aHZEOpbUiVt7CgJnX1Kw2 pLbB2mSy1bftiPscICbsfBM4RaXU/bujjU+1FFRf4CMQPLT94+pOKk5KNQ63 +ifDVv65I6/TqXjVRGqrT2Y03Kxfr1nLq4OJ+RfNZzszID4zzuVtug5Oqdb4 Z00/BdP4gbey93Wxp03p2FmdRnBseTzeLqWHhncNy6T/vIV1vU+DC4r0MLz4 Ib/sZjr0Luy6bChLQ4r0nJqlBQFf9o2Xl5TS8HGgXOrCAAEBB0Z9TOT08THX noSQSAJyPS0CGUv1Mea5RgTPZTqwNan3eSgZYO8ugxkB0XbI2x9449FzA3St 6DtqwNkMvH332uf/GuCj6aaV4KV6aFG/9mLSoRO+HMpKG7bYBKM/P1j7zM+C Sv48j6CDMUj9Wl4oOr0OM5G7uKjUB0R05E+ZUjdibVrZnVfUZBj+2X2jcPc2 LJDdYc95qgS2j33TMTPchWefH889kdsA59gljyfd4se49fcznGPfgqSMxPpv PYIoIZFO8M13gpezbElojxA+C3LdYnWGgNcVtsqtEyKYb1jItGWBPM8dwp+u jomhxFPBvrfVBPC3uo8ajkigIGTu5npFh+qI31VvZqRQ3Ondva8f2kHuo5Xj f3PS+CqUYU2HuQVyTvv76MXJ4aULRn2KapVwo6bPxyxWHu2Cyi39LZ/AtwLD L7WpCkh9VnR7ZV06VFipUH6kKyJf/kfu9OIoMKsy+Vb0WAnhRY9H2OE0OP9p IkjmmTJOE4nT/S4l8M5AZIL5jQrqUVf2PbjRAMGH4n501aiin3gdexbLW8j2 akyUfqmGS3TuoGnzTtCW4Hw01KiO1UNnf/rsI+Dwg77Cg80U3DG1TW4bQcD+ xnbG4/0aeDdD2zcwmwCfUk3qrhFN5Pm+4a9FOh2kL4i7ZA5rYQ3tfJjZ63aw eii+LuAH4Bk1iufjV81Am+y0ivPSRuXHcdTy1SfgtClTaWJBG2VPNY4pdt6D DjdfmAqgom2nFt/t6ijYnL7QFfuHisFcv9J/D6dA+GDfywU/Hbym930o+cxj kKm76L4UrIsRMqUnE3LrgTXwicIBNj00em8pTnvSCjx8xQ4novSQ+mozeTqd YJZ1YZvxJhq+vsgmTNtF9p+D3PRiPA1LZHK0lTsJUJ+/a07Zpo/TG212qJcQ 8C7JYZdurD5WGRKDj9roUOiPm5e2GyBt/UQr2/4OeK7X633rjgHuL04ojLna AsZO5f9NrRpguOn2WBpTA+ys89P5GfUVjveNXT/qqwSWHPF9oT6rEMGS8a93 5Tx8KQ559+84C0rmZlc+770J3wpZr5eJb0auN7naQZIPoH/dq5ErF3cj9VI3 z+X6Zij4K5by4sEedGZ7LCi62g6PE453uND3otB6XttRst6uVdTkS34RRjbj 1IhHDQRIuwiY2n0XxerEHcd/TBNQ+Nytl++DOHaGneF/bkZAj5EY88ZfktgV e4mxobcTHjWyt3bsUEA9vijRH5m5oOWY2Cq/SxFnD/BTJy3jwShWUWVCVAnd CnczpX2Ng66RVCNZJWXcdC+pketZLgTrri2foagh+8a/Js+N2+HLp/FKPV11 /PGyw3o5gg4VBw3O/9Kl4CuGWKHdSQQwqb72/2msgdYKr9LKewhoNGLQ9D6r iZ1aCXdyDxCA09e3qVpq4eLtIr7K0k6IkbEWd6nQxoo9unnGxEPovRkRvplC xTzt7O1v2+LhePMli9hqKl4UclUqFI+DdT+3PpxW00EDrqUXrYL3IchaT9Sh QRd5ttzSeUQ0QTN3Uer5w3qoZz56gluuHX7FVNxde6uHLG+b+/+S88rkSGuH 7jEanrRP1jwUR8Cv32k+F97R0PbaTi/tfgJqvKWSLx7VR7vq/WkbT5P9cPzY p5oufZQq8316hYUOYzrhoyv/DJAI7jleOVkPzbffGcw7vIIl8XbttJU5Ld3x y/UV3dOQPCgUYdBlAKt/dwSbnWHEL7v07p4N8QTFC1XsawZsKK13ULiDLRFy oh1aLyZuxW8RLygm/I/B1qLsfWztTnyfKZQ91VUPHdEFwUeY+ZGqMEXf9LUV mhMt6bRkQRRJ8ZPdFNYJMynsMylxQrjcN9U/oUKAKKvyY9siEZzZrG978DcB l1w775s9FMNr2hxbvDoI+P2tYddQugS+3fZripigg1e7imRvmRSKHX/Lznau A5q/GRleK5HGhM4eZZPKFpCaG5TkcJdDHSnz4F93qiCgOnLM75I8ijE5yB1g eAon1JcmRP0VsMRhwZxLLxOiT6iuFviR9TV4s3ZULRpW5OuMOG4rYX6ArGjX mRTw+2ES3JmkjCM0n7KST4+hVX9IWzdHBTeIxd4xbagHbK8Yf5qpirinqnLJ oRXoZ7QO2aepoZRC4oAEydNjmWGrpnnqOGzEv1GFjYCzV+89E3xIQY2PTBeH GwlgEWEsa36mgXMqvf8Kysj6y3GOJl5r4rVaBffdjXT4Vp3vXvZSC0UfnKst NeyA2Nv37xOtgG6q3A7ZDi1QnjbxeNBeG5s/WaptU3sKMZfGrEa/aKN4Y7mM YW0W7OfTUGW9SMW7p5p/p9lHA33D5cylCSrmyh93NHUneWTJz57DSQc9NOV+ bbEphNSh5w3vXXUxeEvt+f+IOug3LTFzWtJFdgirEmNsBUGQPpMfqIciS3PB O1o6gPfKttHjq3pIRGgse8zQoe/6yZjd12h41GTYSZzs/7vdV94WM+rj3BUp /7waAr6JX3Q4f1Ufwx3GH6/O02HlZJ2kOrMB6oSUKOkWdMArIvSyf5gBOtZd GsyRbYXJMpC5RM6zf6+JKYmNDfBPT6lmKuszTD7e1fLiyn6oYRJVf31qBebs j6Zw+1rDs5rMM4UmzCiwLzHn3moYLNLj1SxkNuGX4a7jwWXZIO4f4Vs8xovv XBu6+Nc3A09IXuNlgT2oPLVOS86pHQ6vhKe9jduLEmNj3yfi6cDwOfUHZAuj nNhmWTdyHsfV/G7/WyCKjrNS1OxFAjK2CNydzxDHoFdzonu8CMi76KuRWiiJ j/lu2AmL0iGnvkZ5el4e13xlxcp+5EH+kjZxZ1kBH41e+5SilggSYUpLheuV sLwl3GElIhY8T7FVRHMqY9WosrWUxX3ARuEFNT41bLZWe1/d0Abbm866XRVS x0AF3dSRU3Qwq618dkGUgsuFSp0swQTwcN0Ir5fRQA+OSPwfD2UVKf76qaGJ A2Nr8u6mBER/KrOc0tRCXoPLzdokT61+CLhSkauNNtuVKbr/8uHP945SZikq epYxtplPJsJTd/mT+UVUfDLbwvN1Syw0mEW6nZbSwffLUn7N+7Lhh2+Mz6Fy XezM0H2dydEEKb+LXt+l6GHQflmdOyltsFSqGGVSrYe66kdaWbXpwC3knqmP NLwjZN+X6kPAj021PFFvaPg2s/t6Icmn/KdYWD+BPgYVd6pqeJDr/WwqO/JG Hw9Q2HtHNehwNYrTzIecZxNhMc33ZuohOdnI4XdUHxjU5L3ytOaFkHnDNXWe BagQUZs8ZnUSTn8cushoth49LzqbK6YGAjd/Xs5jCjsm/XK3mPyUCpFNM8oR 2/ei9E+xYYocHZY1T1xy2SWMemUWVwz8CThjG/9Sbp8o3umpiShfJuDGKy+B PCFx1OLeLrU/n4CgXfc+WlYqYNhzp00W2+7Ce+cDflKvFNHmYV4K51oUPNcd DznSqYQjGzS/qRVmgHuc0ceZj2oYKjg0JdvVCRklmafPjatjZkukfZkhmf8t 2zLdf1Dw2cGq87l9BJg4phoPLWug7tdPz0ZvEaBXdJptbgMVn5b8ta3wTAXX pme0/ttU/Onzvp0gokhfC2SVZNfB3NrFoc/5aZD8thaPCNCw76KG0h0N0n8P sp/ozqGhWoXmskgvAUPcNd+bBPUxef9F1b4MAqqZbd4KZeuj8/VG4Q1ZdJDH 2ubvfhMA25wSLjdQYJVrzVPv7j/o+/5uX76dM2zPtD144tgGvK705CS7QRSw 3By155IUQc4oJu7j5Pqbdx352CohhgqrHAw7vhPwzKqBS3e3BM7VtupdUCWg q2+8rl1VEblVeu79N07Wf7qC1z4DJfQQcre4U5gACk7S3zpPKuPhYnbemwfz gfNdD5eHHQWvtU60CBQQMGOx4srjoYFSc1q9/e0ETE613WII1sRfg6+5A7kI eCqua7HjMBV/NT9mPbw3Dmb4i2x92qjIvjQ/GJ0UDxCSPBhxUAfNHdbnBujn QoKP0D9tGxp+NosUcXlIwCzhNag3SkOW5M7A6nfk/E4xEls5q4+Xj5vETlEI OLjyxyWQ9N0zabWpveP10Cjn5sDi+ARKKtp35YoNaXnaVF4xqZ+CyDsKF8R8 9WCMOU9X5j0D+jQ5vvLLdQf1AAb7E22syPbvzs4ncfHANCzn0mm8FRNqy7Qr 7R9BZMpOyf2BO3G6spuNw6kewujfd0i+4cPiR98FTWJbYafB0oEFb0Hc4TcX Zn+wE0qeLHM+cBXCaN6JmmERAsye8l8ouS2CecFFQZU/CHBME2XWCxdDr67a bBny/M18XJWF/SUwuuWOwzQDWW+/h4atEqUwvMpinURmB2y/RKtyjJZGVP+1 Q46rFS7VRoa62sghK09J2Qm9avCh2PHetpTH1wmrRxcfPYWb647+PuWsgOfC 4+w5QrLAv/2/9xEXFFFnpnvgSXc0GF5cYdTwV8K9eg4K+uzJwOzKxigYrowu rp+6Oq4UAa3pwEXbeBXUAD7jTNt6ENzcPCYYq4reGt3RP3lawdHIT+xapBp+ uTQZeyq1A54NaeYmJquj5Xkp87kFOoy7BGtw3KGgQkhNpPNr8vzepbIzPdTA C38YPlypIusjNbR8/1NNfMow1f9tgA6N9t+vvCzSQrmddwfTozog/6q152ol 4HGz5/GyJE84eSybrJ3VRuNyZZbF/qcgtCd83vKDNv43lpvs+DIbLNzuKW0/ T0VTu1C5eOYYKH0pfV16jIpjRzJ6flncgVc32tSTrXWwgP+04cByPtC/Wvw2 ctDFou8q90vt6+B1XYkz05QuLqr0nhHOb4EHxhPd767o4bax5Q25tzrAz+q8 YfesHsat6ghVfaBD93bHs/v9acj759LBeTJPDeo/X/u2TMO1m5xWtfUEeE65 bl7w0sfPhXUmtiRvCNWFqZz5q49PbKQOOnzpgLodAy6z/gbI/3xf2ej1Vqg0 Y/4uTeZrCE2BhXdTA7hviPN3L/wETyxrs14USsDv4EsTZ/WXoUB7YTSXzQoy G2UEg3uYsK5y70d+nWvw73NfQslTDkz8e3bbh6gsMHr+q8EwixfneWzeVGc1 Qfubr5aHhwSQ5ZT8vkmBdkh/LLTO330v2tQya5zyp0PN8k32Q1eF8YK18a7A BwTUO/RHGEaKot8JkYxj5LxNoXiufLoqjqUpPferrhGw9a+Q2ehNSVxuNv5G IB3u6aQ4r/sij7+ELs2r8RbAx9cp3U3fFXDPvmvORofvAPe/8v7IGUX02yiO GxjJ/IpHxxpGZTwfeXVuTDcHBDccmMvnUMOomU17TgS1QdGL1MPp29RxNmvX aIwmHaT+eljlcVNwpDnuRy+ZR5kMFzaV8GvgQlNuQzWZV1Fn2mmS0ppY4PHk 5PbzBFQMtF47LKOF0oc23H4sToeyiki+wXvaePH3t48LfIUQnepmELKXiksN 8QtuYkkw0hR/rPwBFc/eqORMPBgDDzfrn4oS0sE1mSrZJp0sELyhlPPykS4e zhr0Ds5vhGCLx12KinoI9XIFaYZtEFg/w3K1XA9vbEsUWiLv58XRuKFFhYY5 Adw3fjqRvJXe9SWjkoZCDKya5eR622ier3lV9RFzaPkaVwngLTrde7lSHyWZ xILGTOlwWKGfU4XM1/QLMk4x8/UQxMs6OpPVBbFicgHtGtuh1C2xZIB5HjiV dF4cqj0O1HEnhb7+dXghvl9382Z/4JObXGV8tRHTn1bYyjPfhUG/qHTVeUFc YOQbf81Nh/9MtGO8F4UwdkeuUoMzme8c/r6B7KQfXhVr1FsiIHii7WrCenFU 0woZGSwloOzT7KeYQgU88LJb7PHVVGj+8sx8Y7Ei7mM7/+JnVRSwBvMrB9Yo 4S9d5ksRP9NhY1jkiy0daljMN2zwObkTLk+arcvoVUfFoTADb3Je1z2bEzk7 QMHPg5v/dnSTfrdDqYDnuwZOB17I5U8moN9iNcN1TRtX6ee+G/KkQwbfTp2x MNLnPjZ6PX8SBdLjar8s1utgr3e6D6GaCksV3AUd3DRcf8f72Nl9BHzs5xca T6WhQfir0a1dBEQyS+cw7tJHBfHNMl/zCNDvsHMvS9HHP682htQ9o8MDRoEb zmHfIV32Qf3IVxWQjjUQG7v5FzhEUxUDYx1h9eHMJsl3LKh/QdLX9U8k1GfQ wwU2iODawt5z06QfrbxRTt3BJobRJ/J4x34SUHJr9xW5VXF8HeqQM2lAAGuW ZtOahCIypMhcKLwTB9Y8ZabsKkr4aAN/h1l1PITm2qat6ZL5WjqTXbD0EMY2 xVSXmFAwJPu88FomAf6GH+YZbTQwsSJsWI3Mv4FM+zGKqybuCXH2ChAlQLd/ fDpeh4ov30hRzn2LAyGPTefC6qnYsrK+X6E7DgRVTF6/1NbBkzvfHpvY/wDm bLzs607T0MpU8/WRdAKmzkUUnBqkoU2Gps0o6d+bb1Z/VDylj4vdz6wHSR7i yawV1yDz9ZsR09Xm7/WQhAvFs1FNICHl5/T45HrgchLn2vFlBjhH7H2Ekw8D 18LNqtBBRryU7/23PcwLZs4enuZpE8HSj4PqW2fJ+ajjS3VpEMP6fyVP1kg/ yRl4vrv1liIKhymrqPZHQcHCrbT36Ur4vox1rrbxLvTEVcopP6dgiaroP+c2 sl+uOJhHNWmgzdLBKsZHBPxrHKSselJRunQl7cByFPw+VvaifpbkjYgej7F7 yTC4QH3NdouG7hysO+JbSd4d28B1hU0f/6uiZXU+J+BWWB+Da/IXqN6Y8WP9 JXmIvjl0c6/jH1jpT0zhz7SFjmdbk7u7mHH9g3aV9r4bQG0ralGqE8adeeEv g8k8O8u9gfNpiyjm+Oe7Ss4T4CE30W7LpogCrFyVJpAAlI3lO95uV0Jx2TPu +6Xj4MZ1xs3SyhQcOso9707yZJTofcYB0MD9L/k7DPpJPlCT5o9UIPn/cl2n bkcChPLTzdLLqZgvIz42FhsL5SoCKo0GNHRj5Bqwu07maVCxvn8rDd8oyEUP kL5Rsv3O5ITfEDCeyXsZf1cQjH0ZjdLFFuHwuc7cKpoZSFQWMI4ZiqLkhedW Z1ZIv5+uuGtIV8S2kNUVFu9oeDoksyv8DwXFP2Z5JJLXQ/eThm2JVHy1dmLx 395oGK1cuvamkIblcc433f73+UeQHbuj209gUDvnILwF4W1yRd3DgjVQcDvt ZxxwCQzc5vRYD4kgw/fBsPaPBCRdthMKMhDDnPxSrWuf/+dvsa/TDBSxVDu+ Z8+xWLgpVHrn0GkljNbjErlTmgiYxOes7ElBn/NPf/o+JeCC644fUmEaaD7d XR/XTICAd3ZjmgkVaUuMuwq9Y+FNs6GDSzcV+WQE10Yukfwa3XHntRMNO9fr Kj98QsAC1Y5d6QcNo/aVLHWS/Rtw8kBpDVnfCxYKD8c+10OtT/EDCcdMKK/9 /jJx9JXWbUGrDmGNKViTbVAYmtKB/ohfYnfTGZC3fzknpMENapiFE/5GseJj qa7/TD7GgVI4tyaD7Fb8KJ1iVhxbCBkHDh39Y74TvYaH3hJK9XBuOuJzUhYf jli63vC2a4XX2Xo/jjgK4rU/2Q6393XC1qrL9wvOCuG0Fe0I824Cppk5m3oD RDAt+BerxDcC7J/Slau8xVAnMza3jjwfDtTV0XeSwA3mc1Vy7ARQGWSqHoRJ YSOre4ZaTQdUyr3xOBMojZ2fmmRkoBW25o/KZJvL4TWrmMO696phYcW4YvtJ eeSgHfsdua4U7tuvTF22VUD701Kb02azwH3jctvyOUUUSQ9NJ1RiYGZj0lCX uxJGFf1yqHNJAsOnttoGV5VxV1YOla/+ETCFj63ziFTBR43Wx64p1EOsDGFr dlMVp/JyQlZ/tkC5/s7EbaFquIWv5U+3Twdk+Kb6lsWoY4tfS0PkTzoUfnZb C7lNQTh48dNgNQFOhV+fZ9/TwPS7Gaxsrwhg2BHddKZAEx1DJN5EfqbDs6oI b+oDLbRS2e1wtbgDlHxfv99WBggTVgM7PrcAzSo4f9sZbbxdBv4hkqXg7G32 eveANo51dcewQw7M7e5Q4LWmouKsufSwQwzk7GT3oY1QMXTcesR1MBEEjOYf WFjq4Oyo74cNh/Jh4qIsE6utLraN6Gz5JVcHSityV4gJXXwurrks7t8C9gOt 27656eHlC2xhDi4dUGgS8y/xtx6eKeljZ++iwwmLab0D3jRsmatwjyPnh2A1 7znmBRp+ULq1dqOJgEqTaesad32MqWbrb+Akfc33fI3zsj4qS375u7SuExrU mZyfeBvg9cc6grdLWkFwnyONg+RH1QDOyPjNDSDtCOaKT0agTiBiRM9XDFiB S1fm1RJkFSVPXFS1hERDr3UTd5jQ2GNN4px7KIReXHlt7sGBJIA8PM2QBTYn 907uDOLFsMziBiHXJsj/HC5Z+UIAicCY2BdLbaC74XLFO5u9SDke0E1zpQM/ M0O68SVhpJn6XN5P+qtlddvXy36iaNKaP/uR5Mc7x/bsM7ssjofSkpt1Ikm+ rF88z+IjiVUWu3ksjOjAu/46y6338viCaFc6VV4ASyK6vSOfFDDAfP5d4cc7 wEGZb175rogeXzcyC9yOgUty77VNl5XwkD2Xb2FNNsSKg8cIkxrS/eafi5j/ 7/MO1UopNnX89oxpgEeODpxpdMXGTRQc84p6cOUiAXbe5nRRbg30exRu00Ly GJMi72yjsCYynYnl3u5C+vLJ3iQ/MS0cEbc8sleJDtHZ2y5P3tXGN0umDJTi QuiboXIBPxW1Q/qU69qTwMe97mhlFhXtFvyWVn5FQ/IFUcM8AR1s5/j25nl+ JlA4Njz3ytNFnz5Xri1ejTAXv/8Dg6wedslaR3IKtwEeeaeTWKJH1mNzhtRu OjxknKqKUKThmEDmi1pbst/HLNrznpF889bR7BK53gdaj9JVlPTx69/lxIUw As5tHZJUe6aPv25uj0y2JXmXiXKZh+THHIkMJdbFepgessv0LCQgApwOfLfd Bq2yamwFgXPwV8xv09bbx+CAU+l26t11WMs//s1v0BeyXmyWKgreiPKruRMv BFMgtHvwaOwXQZzacTdCi5UOO879tydwXAgjYn97F5PrE7d27bv/RwSPB7DZ 6ywSEMjoU8I2J4abWt4t/yDztUMv83N+jgKm3Y78VquVBjVCi4Z+uYrYGNAF vsVRUML/YjP3MyWs7Qz6kbwrHUwDJcQzGtSw1il1OMO3E8wiK3qrO9SxWLzM IlaRgJv7x7920Sl494/a+k0k3z37FXyyfEQDpV/YrjiSPLO3ov3C/j/aGFrG HTH+Ox0ONBlo/wim4ok+5TvKJVHAr73zk9caFZ0DmLcGR9wFiUdgGbONhkTz /TOXhMj6Fcxj+51EQ5M7Res1CAJs/toECXDro/u+9oMSRQTcVhhv8E/Ux6NG plrvaulw1qbNTjriG0hTbjl5Cx8AXaOfQWUMfyEk8maoiJYDTEmpTyXEs2B9 ckCE6lgEiBTq7xRZEMZxKQceZ5JHEnZILWkuk7613YOHYYqAx9mNuQ8nxbG9 2pv5uzEBwkzfm3fuVcS0tkC1+wtxYHZiluYvo4QZsbfC2o3iQUpnzTNZQxk3 HGTSTTj5ENoeTcR2Hqbgz3Uej0TTyPyu7fjP+7QGCstYs28nedvYuyx2wF4T t97pHNgnQ/KH3H/VxkBFgWT/pZ+m8VDJr3U28jXJT4FNt5T942BbvEJZn6YO Wu8cnGjLvQ8iZlm8YSdpqC6iu/YtiQDXfM64c700VHot3SLVR8D41dlK4xP6 2F5a/4LtOFkPbiLXd5P56u/w10l7oh4C655ILmbVwbEjz6XuBP7VkpZocx63 mIEHlqzzjnmGwOpHv/czlRHZs/rWFgOvwO0yPKpZLYLXnObpetMEuJ0W8Rit EEPpWysJx8n9S+FZYle/poiirAlDy4zRcDxR/IpnohKyro8VWtx0F1JZi2YL iyl4YH9h1psWAmIPl7Pse6WBfxnjbN1IHkhyY1df50bFBqJkQ71kNIwUxRV9 /E1F5l0bT55gTgYzrbY8znCyHnjulsyT8/nNe63fccz6uFagZ3CCnN+6X64P y6aPgSNtYG3HRjl4SAv+NDW8ArcP5vg+uG4Db9TNfCGRGROrtYY+frkO2X3C 5uqlwtjXuxjJ/YyApQt/XPteiOLldXp6QQukjyUmdQYwKqLtOR0Z6xckv+jP baBwKGH4Ro7pyb5YcBU+O2q4n4L5VVmWPST/HU9PrDdS0UCxOicbDZIHSuP+ ftWXIfNLzM244XQi8DYznMopoeJRmtH8oyOxMCZtMHFDl4bPKk/q85H+6dyo IhvWSMODvEemzMn5ItI7XXAxbACKD+4ZWC7lB0eVhw+dMxYgipfVK6jFFN5s zrDaSBFFz3GzaUGSH8dlFiIqmxTx5JTsxxClaPA6Lvh+dYaC2Y4KfS9IPuzn u2HwLpaK+tZ2OxXnosB6Xajz24c0DFGxkLcj68VnmPOHhNck7JPRCS/4pAlj J835vPauwSYbL+bKry6QF+Dcu0ldBGPPRXlLDxEg22AW/EBVDP+wmU+dHyfg Pw/Km3Ik7z9rUVObEgtBVjPXq4yVMGm1hH5qXyJIKvmCiQsFn1gZ/7J7TIDM OOvjLH8NjDbevfH4W5K3O93jThuTvvR1cHd7cyyYe/ifd6dT8VyHr8nCWjzY XFs6GGJPw997LlWKkr7hGflzRmOchn8EpTiG6QSMit/dkkHWN79WSI7lF9KP 4vW0VqOeQ2Rj09hS+g+tGgtJ9sh0EZy2OzHDS/phWKzP5C53Rdwbafbf9uBo EFqI9k26R8G3uczn39SR+djocmDzBSqafhS70f8kGkzbP3qJXKVhhnq+vvgb 8v0+HE1/mjsK7ErBDZz/pECKa2yfSKooGsbYWMeT/i5Q6/mN948iGnb0WZ+i xsJghLehuhhZH5tP2HqR52vAb3OiOJ+KtjlDYkpPYuDCScN/d2po6FG351Az +fzc8xu7T+0WxVqVMjEeMr/f5Xs5pT5TxB4nYXpvbxT8g/U23z6R/hIXx3+q lwAW96+6H29SUR3Cx+cqo8AqLlH9Qwbp3/3iw2XkvPmR5ZpXePUHiLTfSt3Q rAbWl7Q1pneK4b4SBvukCQJ+UeIbxuUU8ZTO0wlmShw865pQuO2kgb0yOoJi 5P6uXOUW79Gn4sYbPU8kQuLAfRfDG6OPNJz1FtV3JK9/eqNZwtSQCCZVymTn zxFQlO69zzxRER18XIz8qqNg6+6Wi69eUfBPV/61IZL37fkKNRd8qKia8m9P f3cUnHnyop8hhoabTLbdWyX9suE1Z3nkgCg6lB5oyiF9tbn4qZatgQZq5d2L 2E3W60UV0XPuHTQ0/zJtK0b2W8z5ivsvzUVRInSmz5bsh6XyKwWD/Yr4t6fS PrwxGibtNE23MWmg7tp3DWVyf/ObRA43plBxMzPdhf9MNNh5uKa/KKbh9QE+ hiPk9a49GqsJNVbEc2bHjTq3xEKPAP3PBzMqLtjOKo/sjwXvP4PC+37RcMOp PMMYcr3c17pMhsn6604ayHUerYfnrJJ7LjrGQNruiAE332wt+TWbeZ6p3zDg wfPqgrIOvDvEmdIRwIAfc8/zDJu5QbBhecG7S6w4tus2T/ONODg8FJ67U2Ar PnYUO88mXgj51+1sRg/uRNEfFJowbz10MJq3tMfwYWC0Z9EFo1ZINJqs8z0n iCVqmQ2BfJ3wGoucpU2FUMpTcf16HgK05DgWvnuK4D6N3E1tZL/aaYgZLbiK YVJR87EAsp/H78sYDlhL4IhIKmhsJfmXtU+iKUAK3+rYteS0dwAHJwO921Ma F1Jln2092QrWaZuZK03lMIlFKutQSzWUmzetGzCWx80pA5/W9pdCyU66W6CV Anrv7Q1+sj8bfkrsanhqoYhZM894PlyKgcYB2+bMS0qo5xC6c3JPElx8F2tt 4a+MP5PE95i5PIIx+6p2vxsqOFzcWvJlVz0015wU9gxTRZNO90sXBlrAXPdr a3+gGnLJ9p/76dAB8c3Nn9/cUkf/77yzdd/owJH5Y0TjJgUzZrRGVisJEOXZ HH35rgaGV/t9e/magI09XIR7riYKFLP4GZKvlxk/vcSUpYVhZ1/0vyV9bWX+ dyzfE8Cs5aZuj8UWUOrRecd7WhsFP/VSJ46VQqxwbe5KrzYeM2UPrgzOAXQb l+e3oqJwX4ti3b0Y4KX5uZ34SMXtw3sd1dISof0pmzmcIf3FQEZ7fi4PlkpS osfO6eIW2Rsf/nDXwSXu6eXn33Vx4Ycb7bZdCzTfUy+ZcdXDUI8dXXkWHUA9 +sDsyk89tGdZEshoJ3ma4dkL9Ss0rNed6W17Qfqn6oEOrjkato61LvaRPv6e pfRWzmV9/Bg3NWCzg/S1nh5Gz0V9DJt/XJW9rRNobbucoq4YIG/jcM2bhlYw Sdw1/+ePAaZfO9xqtKUBbqYktSTIj0Br6LxnuIsobM84P8XtvwTe9tXbFM0s IJoj1UPQiwnTYntsxjlCQbf0Vp+sCQd+YepueHclE1weqK+tufBifJEJg4Zp E/DMndoynS+AItESFgFf2mBnOU/MP/O9WO9SJbb/Ah3aIil2XeeF8XREiOpU KgGF4408Ye6i+H5Ye5yT7OfE9546CY7i2Ks0csQrioAMiVGXFFdJ/J5Q2LPp JB0GbP6cONovj1dYjhcsMBYCS9+uUz8/KKBQ2uvd26SSIPw0d23pF0XkXv25 MnEyBqhrBTJC80oo/J8ibTwgG5qf1ymsMqih7s1a09/6bZDxZMP0NJM6sggt HqBJ0oHlx797PWwUnO91KlFwIqBRoevpyFYNXH/pCXMlOU9eZWDLnT2a2FJl k3LVlZzXXBZZcUJauCGxONlQnQ4BO3ruzidr4zDtgfuJxUJYzXi0xL+biltf zrDPCCdDfdOQ0csMKqZPrn/U0xANW5MTdcr5dDBUb6EpgZIJBkcva5/I1cWh nzo3aywaQab4p/VXaT2suFC7b9+WNsjeRh3NKNZDEw2d9NLtdNBaZeJxkqch EC4xPOcIELu5V7uonMxLk0flquR6YysbN9IU9DFc7vFMbTgBoW/STvCX62NO zp2oD+R5jF+cFGAh/WWAWyOlnvSXRxpcQcpP6CDgeOF9L9NW6I2+VRGrNgec FlwCdxeNQU6697q37zqcPfs9aa+eL9j8y8QQ643oWnQj+ldJMpiGhEhWfxDE A6m/ZV0Y6dD4Zfbr2gchzPPT64+yIvP81gWW57Mi6FESd+UJyV8Bt9ubdSfF 8L1iqbE12b9Di552FRkK+MGh35eSlQbq2jt0FLIVMcT0cWhPURSETd74M/JU CX8feAqKpWmw6rtoeb5WDT/51xmcdOqEwwOfsa1VHZOmqssjZck8/Ha2JbqN grlqnSY87whwN8/bd+29Bnbsu829QvozzfrAUY5lsr/9w+UHzt6DUD5r/BlE xQ0XCxc+l0dB0qXwwWt/qcir4ezCoHQXXueaPHfdQsP8549on/gJ4Kt3DpxN pGFm8oZhLTI/jXyDJqW59NGmfP1ulWICnow9/G0Vr4/GfNGlek10qIoX7r7N /g1ydCLbFQ4pg/Fj2JdWvQqNZsPxuan28GPS0rrFnQW/WlFv6VlEQLfstZGH P4Ux8AmrDyfZ7yPaIuLHpkWRHlLm8of0lyJpvppPY+KofOLPUI8JAXLPag6K 8iuii+e/pUDJeOhy4wJFKSXcd/r2rQu88fBvW7u1raoy5vRedjrH/BBer+z6 89GAgjqD9TcfphCQE6CfqnBSAw8ou4dPkHnP/nnAPt9GE8Nvc11yVSB5971g jqwmFft2ChvMxsYDi4epZVQNyU+Dl2pqjeMg8lV20RhFByXfMRp9s7kP1ccr PO1O0NC0glVrbyLJg4f7mM5305DvAeVUNZnv7/5slrQ6po+XLcxWYk4SUDLY o8hO5ivjx4vDf0l/mQrj+OpTWAv3FULVs0SWtVTDBXZ27JyB3Ryxl5ZeHIR1 GnObhf0Z8UyCudmFf57Q/0E9yLhcBN9uiB08Qu7P5THfW/zFYph9wBCcyPzm Ut7JNBOkiN9eKSiJ80WDmO28NcaS+XS/dt+28hRYrRPpOV9IwYjmq9pm5H4f +m/w/XKlBrbezEtIfEryZ6OwGrMrFS8cy1yXS4sGs0GGhxM/qahj0cUsXJUE O0djd++4TkP9k3EtiY0EFJuZW2at10eT37+M178kIJv7g1GswBh4vJd0m3kl A6W576L601ZgksSIpr/WUL3q/8PTkxlHRexKpS9fB2NLK6GXBcK41/q/EMMy 0n8S5zN+PBVF+yN717hJ/0+juRhH/FXArs0Nkf8tJcDj89sZZjcoofm59AHJ kliwc7992FySgiXr+pTmQgkoP7XpIZuiBlbJJdzMIvmnV9O+XUya9IWcoHsy OYlgz7/LNLeYihHF0j28MrEQIG6p50ClYfCekMJRfwKknFZzbtbTsNrmy9xN cr58PJB1UyaiH07LUDTTmfjAM2np+AnzBWj97ra6jdMUNqulRPMrimInz8Dq FMm31kd4Qt3rFHFFpKRIdGc09G+6+/L5Lwoei1IYOED6i4h7hn5PNBV3uc5c T/gUBYIPacOdD0jfpV0nWkn+7d7idDpiaQKK6SrqqZ0aMFVe1Gz54R/YyjKx sYu4gOm6vIxYedJfJkou0/73/ejfx588lxPD/6Jmiuq/kvNcdJtOrYYiGkT2 eM3UxMJyIGeQx2ElHLtp9Vn8RwIIXMsrsHWk4PSaH4MB6R+x2SHRZ7w18MfA eGY6WT+3/Ye8VI2oyKbgPyk4FwsPmxPsrnRQ8UeIfGJ8azysBG56YG1HQ6a2 m5z0fAKUZErttcdo2Lwhb7mLIIAnzrAmiqzvPeHCe3jH6yGAe+2/tawyoGWh uPDrz1rs4cLq9xJFsEu1fWmK5HWGJyljxEVFjDtRLp6QHw1hTzecOXaXgoq3 VuUFSD/ZynddeZsDFV86b6KKDEQDt9v9HxKBNHz4ou5aIsk/3H1qHJwSo6C5 Hx3X0yXBW/OjuUq8KIY+OKuxRPpL6nDiyLsFRUzOu/p4TDAWNPSm9s3v1cAt Sh/assjzTXT3O/70IRVvytmKMfnHgMTyZvfUahqeCi8Nqief1x4NNnTiEsX+ Rc0D5eT1jjQl2RwvVUTmCpeeiqYoOPfHX+f+Bwq+yPY0SO0h/blpTefTDSrK ZjwIHCmLAgHl08Wf0mm4M0Tn3rcuAvSJRh72dT9A61xksl23KhSnUJyZtokh d8iCV90kAX9+OtBmpRXxKl/K2SiHONgZY7dd356cV4GN8irk/u6RDuIo16Oi j8gH24GyOJB/Wa984j05bxb7IveR93+odPzN+m4RnE90Lh4lfUO8KlmYM1YR k7hYWdKao8C9V/uoXxXpL82Mq4Xt5Lxze6Ox7EVF+27Ea1+igPdE0GHmKBou xkkltZM+yznB8fkeIYolrx1Ousz9rz+kBAV0NZDD2dv6BTnfpIe+d3m10bCi q03+BlmP72OevKMfF8W5KpvB8yTveHbdyY7vVsTz7kVmkveiwUjwmUrbGgU7 HK9yTpKvn+PTPNSSRMVOeZbDoprRILxDaWtNEQ3/TnEFfyH7JdayEmIOk/4Z G9z4WDYWVlpVP1WbUvHFYJbu4LFYOJCZmSw7ScN9Bje7K8j3YzAZtr6TrL+M yRtiEp/rIeHAmMWm6DxI+uCs9CGIrrUw0d+tfV4RE19e0L3EFAP5jRWKO2yp WPvVc0VEOQa2xr/7zzJUFIcf8d7IIPt5XfWnX067SN+q3HiklayHPEw5ff8/ GvqlV11PJh8PHriSH7teFOs/SPW2kvNKh6nv+JsCRcyJz68PJc9fzP0iy64e CgbNHKXMk+f/w02O+jWUip8LjhkF/u/zSiYjfot+cv4w3W27TfY/RNAEpepF UIj3PE1+hgD+pT6u0HBFPMsuZWY6EQWGfLPqa+5UNIKF8vkt0fAIGLXra0Vx 3RdF7sF5AqZGdn9OoGjgy7ryjhZy/4qEPKquNpP1rHrLR5Bc75Wx+3KLVFE8 rnTNQZc8H6etvXHr2hQx9arbZWGTaNienLeivUjBlF1TVjLk+dxuuniwM56K M44F+o/ZoiHn7MvFxnwavns8sXOaPH82d7M5ay9F9ObWS5Yj/dPHzUSF3ZmK yY8ZOIsiouHjt++rW3NEUYypZZMg2T8+Hf8cr0qR+2n6KEKTXE/h0+uRca9p SOiV57z6n89G3Z7UERZFfvnmZGdy/09FmrqPViqiVfJr28PfoyA9LDJ4/zgF h62SA5jJ+1fydeoNRVLxzkrqvun6KJALOqWYk6KIm12bQwhy/3mb4rRm/aj4 YSYgU57sV/tZVcv8wxpYcchF35Xc7+KEc5MX6TQckpcTrST3i0qp8iy0EUWN bd1mJ8n9iSyo9zRl1cBq8SOzruT6LNw5jtSlUnGPWvaNMf9oeNBZKFFRQkPh 0zWs+eR+je4SevibrL+g31IiTz7Vw//9vpDh///93++p/u/x/wNpdL0C "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl1nfcjvUbxvHHllU2JXvP7LJ32XslexQy87OyGlYiZYsoRYOMUkalNDQ0 bbLJlj0K/d5n/fF5ncfnOJ+b+7mu+/reT55uA1r0T5yQkJAIk5L8Nycm+S+X lSeYr/iBTuY3ln3kCnJeeS6q8JR8uZ+9iQG6jLqD6MynYDea6C/hM30Z3gkv YBca6y/iU7vSvCMmYyca6S/gE7sH+Hu4gf66DLoDeIzfzcejCL+KSbodaKj7 Ext1pXgeeQ4q8xTe97u66+inS6/bjw48HX8ehfkVTNS9xevLmb1uO2/Az2OD riR/2exo97Wut1xezi0/IzeWZ0dvVuLJzXe85hlzMm9trrEfYLbhec1r9iPM obyW+aR9D/Me/jsetR/Pp0U219sPMTvyImZa/rT8sPycXEi+jAlxX80W+jf1 j8iZ5G36gXIVub7+HNbzEvqv5Cfkcna55Fl4iCfjb9uv5q15Hn6V9+V3831o z9PwZ1GQX8J43W94RHcW63TF+TJcQR9dOt1etOPP41c8rD+Dj/XF+FJcRm9d Wt0etOXP4RfU05/GR/qicQ9xCU/o0uh2ow1/Fj+jrv4U1sY15IXROu4TfkId u5P40L4QzynPxIM8aVxP3UU8rkut24VWPHV8DlCAX8Q43RL+sJzR637ktfkJ fKAryL+UH5fL2t8vz0BFnoQvsV/FW/Hc/AL/n1xT7qVPJe9Ey7h2uqlxH8x1 dk+Zj/HCZio+2hzJ65nj4j6b+fkFjPX6sXy83Nx8w/5Jsx7PYG61H2oO4JXN WvZdzT/MNboC9tPjGdVt1vWK51/OIY+TG8X5IleQE8e/7+dX8pY8F/+T9+R3 8R3xmeV38bHIx//EGN0PqKk7jtW6/Px1nEcPXUrd9vgd+Gh8jxr6Y1ilz8fz xvmAZhiF71Dd/ihWxnXmTfE0vkU1/RG8H++VL8Y5dNel0G1DEz4SW1BVfxgr 9Dn5ffLLKM8T+V0X6c6imy657rc4N3hKPgZ5+XmMiN+N15XTx7nMq/BDWK67 n38h94zz1P7euF5yQ3m6XC4OfPk1Y1yc9fEZNd+362+2iPdnnrEfbg7hNcyu 9t3NZPzXuHfxnPEX4xk1P7YfbHaIZ8NMwUeZI3hdc3R8ns08/ByGx2fTbKZb bFdHvifOzzjf5UpyZf1BvMdz6D+PMzC+C+yyyy+hLP8HC+1X8OZxDexP8y48 Kf8lfn+ePN4TcvOzGBZnGyrpDuBd3X18AU6hsy6J7mc04MniTEUufgZD4znF Q7r9eEd3L38VJ+N7TpdY9xPqxzOKzXhQ/zve1mePcxBD4r6hon4fltll41nj 3MNT8fujgt1eLLXPwrPJ01CG38F83Ql01CXiP8azzZPykcjJT2OwbhGvLd/t em3i5fkevKXLzDfFPZdL2WeVp6I0v4159st5s7g38czHe5Srx/miT5C3xr0X p8S5rP9IP8h8NM44M0lcT3M4rxOflTgj4rzjpzDIa8fE95fcND6z9n3jnOHp zM/impr9+ENmOfsu5m7zTV0m+5fMDvGzum5ySTlLPFNxT+PzKz8g38JcP/8e bxqfA7vjvAP/Bz/Ee4xfSx6OHPwkBuo+RVndLiyJM53PwTE8qruD7/W1+QB8 gjK6nXgjzlJeKz732IjS+h14PZ5xfk+cb+iHDXjAbjsWx72LswxPYj1K6bdh UVwjPhtH0V53G9/FPeJ9sQ4ldb/hNX1anlmeglL8b8zSHUE73S18q6vGE8nD cB8/gT66hbxm/DtxHvAS/Fcs1KWJ6xTfD3IJ+0zx3RPPhfyCXFL+CzP93ESz Zfx9pu9nNonnyjxsN8wcHO/BbBv31Pzb3KKrav9s/HtyG3OtfqDZPr6LkiT8 +wfuSHNY3Iv42yrOyTgj+R/oHa+Pc1u3wK6PWSPee3x24xrLD8rF7X7BAp46 7md87uTidhnlySjBb2KG/Tu8cTzr9od4G/4XvtFV4f/E55hn58fxBF+LYrqf 8aouFX8FB9FadxNf6yvzO3F+8Gz8GB7nH6Ko7ifM193FX8YBtNLdwFdxzvJe +ABFdD9inj4ln479aKm7ji/jOeM9sQaFdVsxV58iztc429ADq1EonhvMsU8W zyJ+RwvdNWzWV+S34+zgWflRdOerUDCeG8zWJeUZ5Ekozm9gmu5t3ijOStd2 H2/Or+ILXQV+C4N5Fn4E3eJ85tXj3nnNSl4gngvMSvzvV2PCRrmzXIyklyei GL+OqfbLeEM5q/1e3oxfwee68nHt5XZy/vhs8kE8Mz+Mrnw+rxb3NL53ef54 rjAz8b/HZsIGuZNQNP7el0fJj8gT5KLyNbzo55byBvE9YLcn/p94BuSm+svY xMvFvZXbyvns/uIDeSZ+CF34PF41PiP2K+JsiPsi54vrYG4xZ+j+Dyq5qc8= "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl13f8jfUbx/Fv9p4JGWVUZgnZDSQ0rDKyR9krM4oiO2VWVBo0qOy9R7Kz SUZ22bJD9Htej98fr67r9b7OyTn3fX+uQ56WXep0vichIWFI4oSEqOMSJSSs 1zTj+dTSagfZdLOU+if1E+XN+RH9vejKb/F85vX5XF6Sr9Rf0dfEk2Zv8N/l 9+mf138nH8mv6wthCK9m9rY+g76Qvql+iV5JGO8/G/T5MYOnMn9K9ilvwY/q s+ANfpvnN2/A5/En+Cr9VX0t7OdZzV+Qfc8/4Df0hTGUZ0Rh82Z8qV6b8JF+ o/4hzOSphU/LPuMt+TH9fejG/+WlsJpf47VxgGfznhdlU/mH/B99EQzjmZBE 9jHfpH8Ys3grHJdlRXfZHV4aa/h1XgcH+SgkxSfyzbJHMJu/hjJIhuSYYL7F rADm8NdRFj/Lb8hexiE+GikwUf6rrCDm8tYoh7Xyf2Sv4A8+Jp4RfCrfGvcP 83gbnJBlQw/ZXV4ev/CbvC4O87FxT/GZfFtcf8znbXFSlh09Zf/xCljHb/F6 OMKzu7YvyabxcfymviiG88woYt6cL9OnNv9cvz1ylDHryBfI0+if0bdXPzer oQ7k7cz+VO/H67JeZpXV3rxvPCDxbKivxplQ58dnU0fwgXF2vGS9/nY8L3FW 1KfUbrLe6lHz+9UavJP6Q9wLdSgfb3ZLfRQj5NXl/eL86YvqW+iX69N43ST9 jsixkKc1ryibxNvzv/Q54s/k98RnkG3g/+ob4Fg867gtewzvy7IgrewLvlP/ KBbxDngaG+V3ZK/ieDzDSIcv5btkj2Ex74hnkB5fme2WF8MS3gkVkQEZ8bX5 HrPHsZR3RiVkwmSzvfLiWMa7oDI2ye/KGuJEnAVkxhT5b7ISWM674pQsJ96M /YJnZZv5f/pGOMlzuHY1ZT/yCfxffTGM5M+b9Y8zH9dD31K/It6rHxX3xuu/ UffFvpSVVMuqneI5VlfENVIr8Q7qF7Er1fd4/9iX5qf1udCa94nPqL7J31IT x45QG8bOUxfw+ur7vIr3bomlicbyp+Xd9X+Kcupr6X+ST+R39I/jA5417pV5 K74y7rv5t7G3Y4diZdw788qyL3k3fkafO85A7C88J/uV34Mm/K/YCbjLi+ND WTbcJ/uO79eXwireHVVjN8euxPfmB+J3CKt5D1SLs46pZgfj7GIN74nq2CpP hKbyU7FP4lxhmuxQ3AP8zHvhrOyBuJ6ypHFPZdt4YjTjp2NPxHOAH2R/yMph Le+Nc7IH8bYsGV6QbedJ0Jyf4blcr9p8Op/E/9OXwCiePZ5/89f4Kn1O8x/1 h/Xl488y68x/iXOhf1b/lbyWflA8u/Lzah60iZ1gViWelfhMavL4HVAbxe+S ujDOuDqSvxe/Rd6/Q58UrWKPmD+j9oj/t3rWPLdah3dWZ8S+V4fxd+OZNY8f x5J8dHx//TuxI+Pc6l/Xr9bn8rKf9Ef0FbAuzrh5FdnXvA+/oM8bzz5PgZdk O3kytOTnYp/EmvW+J2RjZDmQWzadH9U/ifW8L2pglzx5fDf5+dg5eAAzZMdi 92EDfws18SBmmh2PM4ON/G3UQh7kRT7M8poTca2wifdDbeyWp8Br8guxw5Af s2UnZRWxmffHRVk+vCNLiTqyPTxl/L7wi/FZfdeX+Uw+OY4zL8XH8hf178YO iz2ob61fo2+sH61/yOvnxJmXtYg9E8+U2kXWS90Su1R9jndUJ5vXVgfHZ4r7 aP63Pj/axp8VZ1vty/upqXgBtTHvri6K/a9+wAfF5/b+vfpUsb/iu8t66v+O 66x/RT9LPiUeIV6aj4tnJfY0b8N/jh1nPlf/l74yfo2dbl5VNoW/yy/F98UA njqeUdlvPHWcC34pdjGSeF8Z2fh4buJsyObxU7FbsZUPQF0UQEHMNz8d5wrb +EDUwz55mrg28suxJ1EIC2Rn4lphO38P9fG7PC3aya/E7kNhLJSdlVXFDj4I DbBfng7t5VdjF6IIFsnOyaphJx+My7KHMVCWJu6D7ABPH78t/Fo8v757XT6b T+VJeVn+EX8AJXlbvlZf1Hyx/ry+epxZs658l/xefTX9N/HM6ofoh8ivqI/E XonvIn8rvq++oL6Jvoe6mDdUP+SD47fL+w7qM8SZib+DmVeKv1vxPur1OHNq Pd5FnWNeVx0e91qdZp5MLRfXVf049oY6IPZy/Gbp28X+1DfRj9E/6j1L1Aux 77GbZzGrLvuWD+VX9QXiOebp0Eh2iGdEJ34jfg+Q3PvKyz6R5cFjsqX8YuxC 7OHDcE1WML6zLH2cUdkfPFPsVf5P7H0Uw7I4I3G+sZcPRxM8juVml+I74jc+ Ak1RHCvMLstrYB9/H81wWJ45rp/8ZuxhpPC5K8gmyPKiFG/P1+mb6scm+v+/ CUt47f8AdS6otg== "]]}}}], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwUmXc8le8bx5G9sg4nlL33Xof74nCSlULJiMpKdqiIzOorIamkoqFkFDKK QoSUGcqWpHPsvefv+f3l9fbc4xqf+3qu+zkiZ/2Pu9NQUVFF0VJR/f+vaPLO i8xDxQaB/pPGtFQj6D2jjJCvVzJKne189WRzBNVefpst7ZWFqogG9Aorf1Cj cqAnvVch6jjuIKww+Rc1JXaarnjWIJb1F4tvuyjom25sxbRnO+KdHj3wJHsO fb8zEDju+RsRDKP072WuIbMqBiuy5xyam+F7UJu0D1T2zq7wzs8hhaPNezd+ 7INEYZc2McI88jbSkjThoYXgs5UhtvXzKLr2xd3nD2nBmBxQX9a9gD5Jh334 84IORmeGzlxeWUJEmud0UuUMILzz/vGO5jq69/Pv3EgbC/Bkus/jwteR+sAp 67r9rMCIuI0Va9ZRQaIJXaI1K8xF+U2dPryBws33sn/+YIVqWgndzyc3kdi+ H5YKXWzgzJraE3N5G9XeuGCn17EfWtk0mWidqeDnynBEwi9O6DTnSm+7SgUu kH/m5SIn9P43K/nwMRVUduSW5LBzwRhdjrHiIBUsm41ouZK4YHuHL8rekRoq 2T4mJZdygezsxmrBKRpo01Crtr7FDcryv+IvXaEBZjxh9+5LbtD0fsdj9JAG bli/eFxSww1GZG/Vnl4aoEtLrYhb4oZTwwO+1Pb7oCTGQujEKR642VY1ZneC Fq48mrszJYiDJNaMi8KhtPA6+ZZKgjoO0sxCaabu0cJAjZXFqjkOshoVhaN+ 0kLOpWO3VcNwUF6d5ZhnSwdjYdV+gt04+Pc2unP3OD28UdkuLr7KC5PTzme+ BdHDFTm/nMwUXpiX1Z2/m0oPN88oc5CyeWH71SKbTCc9nD/qu1b9nRd4ss4d sTnGAGeZ9YfUePiAfwj1HgxkgMKLdxnaJfhAWEDQczyFATjZar4c0OIDuQfd cREdDNCuX2fzwZ4PjJJNPuccZYRLpJu/Fh7wQZRZaW6nHyOE2OGvPnjFB9V0 Ynd3bjPC5dLbdWOlfKB7lcrDpoUR+t99yAvo4IPLWv5HI6cYIe/mn6iCIT4o XxzSzmVmAtNw93MJk3ygdv4jy54pE0xvCBZJ7sNDkLjsiowXEwTkZJmPsuOh 6Hf6sO0NJqgqFTihy48H+ROhxXkNTNDpvcdbqYQHb85/GT/HmCAER03zWwcP r1ts4qhomSEkfqwxg4gHcaLKyRNGzPC89/nJH3Z4OLubBdFnmMGxVdL1yGk8 PK1gly2IYoZa4oOPxz3wMBwcwd2TxQyWp48wT/viQVB5epu6hhl4P2VtcYfg wWHKgSw/zAxsH94YfgvHQ/qrb+0nd5jh0JvrScwxePh1RrsiRpAFdFf1037d wAPuYM7zN3osYDVLppW/jQfbXlxirwML8N98mMqUiofUu3Eh+8JY4Pe70DXf +3josFo6rfiQBdyqRGnsM/DAznzW9NQHFnBivhLX+AQPFg0dKnE9LHBl29b6 w1M8JEQhgcJVFriwekdL/gUemvTe0vbjWOFVzy6LyEs80K8JztJqsELGb7Xc e6/wYPzuVo+SLSvkBNHS/5eDhxjfzc8OF1lB99j1g5sYf5Y+nxefygqVeu2T FIx3//bcLSpmhbuLy17HMCZkkSIGOljhyRblrga2XphDmQf9PCukr16NvJuN hw84cWuV/WzQ84jnuPdzPKx1pOo4KbLBXadP2hVZeNBMpBa7YckGdHnRTtce 4yH4cADrOx82OHrAd/JjOh7e0fxeGbzFBjYkSwW/NDzMV1n+ZshnA22mr1H3 kvGgeOVTk+p3Ngj8XQAqCXjwUZd75zzBBu93J5sgDg95cw8f3WRkh4dW+Otf IvAwnscYXyLFDnxceNqKUDxIelzyGyaxw6zL9x/C/nhwEyGfZPJgh373xshN LP8jD77IumSzA5VKrDQNppdDNqo8CV/Y4e/9P6+UzPHgxP5sp3SUHSz//V5s BTz0xUV2MIvsBx2O1SdOsnjsPzMVGrAf7N4jisUhPJzYcnzh6rIfhFa+/X3D iYfOQJ3Q8ifY+Ecy/9Wt8oG70iabChsHSJxLpTWo5AOLgRsv8Yc44MLtQBur 13ygfgOnT6XEAeLN4QEV9/iA9reyT7s1BxQaRlW88OOD50me333TOIDO4Vg9 Bc8HCborZ+xecoBG/JD0DDUfBJJjNgjlHGB83ODyyUleAINMadZeDhAQYBU7 W8ELv2e6r+cJcIL9O9XaBGteaHx49lCqPCcctEl/tqDOC29N5suu6HNCzXRK bzueFyKfsPwzdeEEPsPq6N1hHAhaGhEpzzmhXoOrKsYdB6cKCvfEZLlgQ8sh yvM0D4C9/gMWPS44xXbeYFqPB6RpmxWXzLnAgEPGQuwAD6w7kp3rfLE6zVRU 8L6TG+6zHPzkWswF4mrxp/8acUOXd8LlJ9rcYOBk8vcKPxdYyrgv8B7mgdTZ zWOCV/fD5q2Qj0MneECNxTRWUXM/vJ6Nj8/24AFRk7wMn3l2oC19dUD1Og/8 CTnSF+7ODpUG44aWDTxwPr/3luVxNpC0vZAaS8TBksLr4jwdFuguD3cys8EB s/xwJP86M0QfSJTkPIeD/sqEpxPlzDA4XFCZGYMDcf3IU4UazHD3/OxoRS0O 5rxHd/HaTEB1LVBtHvECU3x2gOBxBnj7J3qn/CgvXFRIbrnCxwCOxqlfI1x4 oSa5mMZ2iB7KmUocWa7xwmCAdlysNz34pC3HSlbzgmbuZv1UAh305V7qdiLw gRZxxCBxbB9cZ72ZKWbBBy5yk9sH3+0Ddf90r0lHPhAxuHRKK2ofpKhXbF8K 54MRhQv3qQ/tA1LNpvhdTFftF0Yal11o4F13RMg3bTxsJVg/Ut+hgtfxbmdH j+BBxvZI44d2KsjUND+65YAHvrApUu9zKkhIx8soYOdIT4BXhGxGBeecSgZT avGwrm3x3cJ4DzmwZXzL7cTDzl9lscHFXWRdHVVe9xcPFylDq3ef7yKCsFXK Mt0ByKZMDwTT7SKesXGivdkBSNrHl/Kxdxsx32tXDnQ8AE+Gjl2xTtlGVKTy gwk+B+C760OzLdNtNJ0Tu/Yx6QC0vHfWvlm1hRouHMoX6joAyGbhpEbJJgpd suGiOPJDkrbaYd+2deSTrbu358MPqWyG3Afur6OzdiLT+Eh+kMdtzb85vY6s 3s82mD3lhz9fpVlvLK4hqfD/rrwd44cKjcSKF+Jr6JB8gMfXFX6oNLuBN1la RTxDJ2xG6AWAh+vGj/d1q4gKiStwyQgAdX1PJJ3bKuqlqRkJ8RWAvyovOuYK V1BbycvWpEgBaNzTHPgWt4Lq3RIrc5IFoLXzy4KzwwoqbjyV1lcsAC3MPn2v GVZQQsLyYf1VATjJJ1cT5r2M9LhkC2mvCQKZRsi2wGoJtVE7fGtNFoQL1INW wYpLyHXhv7/3nwqCaGE8NLIvobiOCT6ZOkFI+ziUs9uxiNqScqMs6Q7CxNSd K9GOi8g1si+Dl/cgfBDiOHAKLaJFX6ay35IHwYnGo+K12CLiszw/EWh6EFjE Ey/lzCwgVxaZ4/dvHYQHSRGnJ68voMVNex+Xxweh7CzhuqnfAoqbvHld+s1B 6Kqpusd+YgHlfhuvrGw7CC+c7nA3S2Ljb7wW+815CCYNaew6W+ZRHK30ilT6 IWB0qajMkMFOxvLJ/QuvDwGNrs38S9559PrvDZnKikPw93r4qd1986i1juJs MXAIVuht50Vq5hBvdE5jwCEh6E9a2VRUn0OvA3pGdJSEQPJRl0Az1xzSc2XY ogEhqCAZc0wvzCJX5Kl074wQ+BGSx94Vz6LcHcn0imwh+HtjOIJTaxYRZk68 iykTAqlV27k7B2ZR2+D1FvNGIfBwa+6M255Bix/JVMMUIQhVD79Z8WUGHdLv Uo/GCUP/5rq0xMkZ5LmV+uSlvTC0nXfVdE+ZRmlW01+uuArDl6S1L+/CptHn ZyaTll7CoCfb+drMfRrhTdc1Vy8Jw0qvcqyt3jRqSnPuID0Qhg9FX58UTU4h GUXpfeM/hYH4H9WB+3ZT6ER0tMynIWFQYjTw2Gc8hWK6+4+m/BOGlM4KmTzV KdQfdvux9oowGNjqvXnKMYUSvi5q/McjAuL1X/4daJ9EU65VXrI2IiC/xMKZ ZDeJ8KW8ybsOIqB66ni56uFJZMwQUNZ5VgTKTFOqaHUm0eM3ojThQSKgR8/s qXhwElls3njUfEcEkiVg4TplAr25e7zNp0ME0iO5OX/ETqB+cv4y9IoA+vjv Ff3lCUSvSyeAGxGBvXM2s64+E+j0yHvPqjkRuHXZrTzabgKxKxykZt8vCsbV RRe8ZCaQfyNFrdBSFNgKKv8G9Iyjz1BwQf6EKKw8e3x+vmUccXwMeJF7WhRo Vs59uls3jooKN7iy/UXBa71QzfjtOFpMZ1lMvyMKMX07ToY3xlHoBaWimJ+i cPHGUXVHNI4a/y1R9oZEYUSS7u+k5jjic/0gFEEWhfsxTbXpiuPog61h8qU1 UQgfERqyPDSONvRt/HwOiEGDAudX3B4FXeW4JH/CWQz8T9nz/m2goJYEPbcu dzGYkOQY1aihoIN0VI+t/cRA6BrX4PMPFFS9cZPF/JoYnGSvSfqeT0FUfzMm 0TMxsKBjdjK/S0HWzi6iVbli8Eo7kcP7NgU96xFz0H0nBtQVf7yf3aAgo5aC b+pfxGD24m+XU1cpKLas+rXMPzGwk7CJnvCgoG6l2JFXM2JQr3PvVdMZChLP O4wXXxWDeOOj4jVOFFSf2XHjEIM4aAs+SVk4TkH0N0c9uGXE4aaPiagXUFCC A73Ejo84KMYwEa4JUZCBMuvqRLA4hB3WS6QRpKAFOq6vv66KQ/Hl7KB0PAXZ Fx88X5QoDmdbo3O2OClIglHjzbkCcaBb2Qt5QkdBvUO6kdal4lBDjlIooaGg xBI4qv9JHJ64Xurr3yOjxdMWC7wt4nBrK7fOZZOMPped0/g+JQ7GVsk0BvNk FHzrPP37JXEYPcYR8meGjKTO+Pe82BKH2o4e2/tTZJTEGn4lgkUCeIrjDqpT yMhwNMrMm1sCHkukTgr+I6Pl99cFTgpIQHbWjSnev2TkeC61SllOAuhDL9kY /CYjdp30pINqEmCql551YYiM6tgzXZj1JKC/Z2Yid4CMpCtzqcfMJGBzRoV0 qpeMBpMLOzuOS8D0qVHD77/IKNm97EWVgwSIhd5js/hJRqsctSYPvCXAmXpu IrqTjPLIjbxxQRLgwsnyT+MHGTl/aqEEhGH2cOPiN9vJiCO184NzjASUt96u aW8jo3rP3v/MEiTAfePOrbJWMrqkP+yglSoBkgltI/ktZCTLPSYnniEBY+bz 5e+ayehO9VzrTq4EbN+5X7/wjYyM01YyJ4slQPZt8JQMxuvnt/x7KrDnslOB QU1klI+oDetrJWBNZvVo81cyOo1j4Cr+JgGlEnzX1DHmmmL9++SHBBjVGG28 aSSjhs9cpQl9EtBwyfeDFsaX7+PjL/3B/Om4Vf6jgYzkfQ6dcJuQAGWz1Jlw jEcMxaWOLUiAk0fISU2M7/LJrutvSADtK5lZKoxJM0rfZKklwcR7J3+gnow2 6zQy+JgkgRFflNiI8dt0vQu0nJKQwemcWIvxGT9DwgJeEgrfCuW0YMxjfJht WFgStkncfRSMmw5YDn+XlgQNVZtD3Nj6V+eOF75XlgSOps0gK4yVGuyjsrUl wdpVoushxqMZp4/dAUnYXbHRW8H4foCbaKSpJIxHuOe6Yv4dIXkveVtLwsuM GIFBjLcFAupP2ktC22xXsicWn6KFkHvGrpKwIRhDuw+L57mv4R4qXpJQ87Xs 0luM3QiSVqv+kpBtpMThgcXfo7hD4+MlSRhskqFV+E5GnpLhB6OuScIhDqnj +7D8eT2SoDO5IQm//Lc3xjH25uiYZkqWhGP3yFtDWL4vxId1t93H5iuI2o9i evDzb39h/0oSnHyjhA90kFHA2JVbB99KwpSf4G1zTF+Bp8QvjpZJQm36tu1t TH/BxCtGPg2SsD+8Y80A02cYn9ifa2OSIOV85YMDpu+ria1NxtOSEPnyqzgj pv8I6stFTMuSEMgSu1k/TEZRUy3X7u6TghPrblM+o2R0vSb0UI6oFHafidMM nSSjm+oi9D6yUhB6+K5h1jQZ/ZfbPKOsKgUBL3g7e2bJKPGucFWloRRkH09L u7RERqme3x3bXKXgVTuTUNAOGaUNBhPveknBx5bhXj4qCrp3TEjOPkAK1q3Z jVqxepGuF7z555oU+B2M1fNkpKDM/YcermRKgXO6+FV7Hgp6GtcUVflKCpZ0 Prhf5cPq5UaQ17W3UrCmeUmziJ+Csv9+1WKqloJ8iHl7WISC8t4H/hIckgIa V9URTSUKKpAXrP4zJgUmUtTT/aoU9OZZ48tX01Igwf1OPFmTgopuCYQob0tB q7M7SdqAgspdGriNBaRBeLTa75AVBdUyHDh24ZQ0DL5ynBILpCDyC0WzvjPS 8EIq9KRmKAWxgjHxsLc0zLj65jqFY/Xysr+GWLg0fGrIgX/xFDQ33nBg4LE0 vP3bbzj+CHtffA8aNRuRhgeRD3Ibm7F673Fz4MO4NNB5Kh4X7qQgL5rMbskF aSg6+EM4uZeCSnW/NdLQyEB2rdKtgn8UZJ4vlF8pJgMsfqv4CapxdCWx5aKs pwycM3lrd01vHGVKj/qk+8vANLfxoCZxHNXXr7nTX5aBn5ae4nTm2Pt0B9PZ TRkI/qwRSHYYRzm+VwgZeTKQ+Y3DuCZ8HP20kqRjnpUBfMwG8V/tOFLhjLo/ ESwLeYrhlDXXCVTJ2CP99aosaN8Oc2a/MIGMqBQ/ZsfJQsCX3kRCyASynRv4 7ZImCxV08q9H/ptAoa1aMr9KZCHQLLzRvHQCffpv7mPdoizIC+httbFNIpNo ktXTTVmYCCx9GnRgErVdfjISQSMHj/dd9lGWmES/Pc3pdLjkYFik6dAWYRLR kHKsClXk4JBvdMEP30lkSuPy51GAHGgQvPbnd0+iHxtlF69cloNZXolVutFJ 5LDASn8ySg5eEA1HIuYm0YWRSlmuFDlgHAlNaGCeQknVvME3C+VAVE2krcJo CnWHtdGHzMrBx/e0Pm4fppDLkr68lY88oCqXA9afphErF1VHd7A8/DrkNqHQ Po0qlesuOkbIw8CQtoPm6DTi8SN99EqSB7eP6cFNjDOoadzKLLZIHu7e0t/c xPpF5WEXrw/L8nDs21Meyu4MGtoWYUU78iDAoqmZzjOLEgTGChvoFOD2bty9 K7KzaMzea62TVwEC/xUktJ2YReldAddntBXgYEN2dzPWz1J9i84WjVCA9O7z vucD59AbCtE0N14BskNvr5gnzCEHevpppSQF6PaWGXZ7MYdKiQlq+lkKMMLj e07v1xzyqk6tO1mrABbhb0SJQvOoo+TFSCKdIsybyfxaSZxHTzMbBNduK4Ja dULYqWsL6JGTfI/dfUWgbdj8Y5K8gO7z371TmqkI13zp/zuetYAS77vSBxUq Qp9Agn1rzQK6nLQ1N92hCO6qBz2taBbRsUiVL6PcSvC5hlUz//YisiCkRxgK KoG62VmvkqxFZLq5q/VUXAnkBnTFfhcvIoPQlgJnDSW4c4b24PNfi0jWz/N+ 7wklkLDNaBoUWUI0p5+cb3uoBFcuc4Q51yyhHQFacYXnShAbdq7/Y9cSWu/z Hr6Vh633c4NsOL6EZu20bY58VIKXI45ajZzLaMCyi1A/qASaVyxJHzyWUX8m LePQfmUYOxtfk4BfQe+SdAc6jyvD4K3KhIDMVXTmETtd5QllqEx5qv6mfBVx vB5VfOagDCdSfr/jbV9FfrUJMf5nleFxiH1+INUakl3ul2ENUob/ru07dNx9 DT0/FX7Z5I4y3OJ4DTjtdXTM4+hz+XvKcNXPstvSZh1RXRRr4X6oDNkG159X +K2j04nNQqNPleG5g+pr+VfriL9G4GtkkTLI1pwbSOTbQKnin3Af2pWBY2zG 7zHtJjJUSUFZXcpgrbrGhMQ20by+2/nrPcrgStV1VNBoE1mdZK2y/a0MYOzY fzNqEzEnOLktzCoDV04+kzbVFoqZ234ny64CjrOxP8+xbKOLlfrWTyxUYJnR xuSr7S4qdfhK02etAtE3Lb7gr+2i1U3rMh47FZgMnhOrz91Fl/Xc+BOdVeB3 cGuWHNUeuvopYSzMTwXef45gsCneQ9erey7bp6iA/FzT895UKvh6+oxcWpoK FDP8697NowLGvcmh9nQV+FhsIGv/hQoS0K7R4Wcq8Ct48vvLZSpI/izOpvlO BeITGF+/P0UN6XWBz7i7VSDrz9VvTIo00Hd2y+ZorwqkbZvGJR+hAf598fS3 BlWgFm9pZeVOA0+I6Rdo/qnA7uX6C5ef0MDz+mqNhRXsuXdo2w2OfZDfyPK9 jU8VOs/3df2ipoXq7y8X/3NUhUM/8/+2c9FDEb4jMMJFFapOyEg+UaOHFx6b 8wHnVEH+bdTFZ7b0cJPm6NzJC6rA7Bf62+oBPdjork9JhKtC2dzlH7pCDDCe a/avNkMV6vmjBLV0GIH7v7mejT5VuLbZ+OrhXWbwOqxTdd5eDfQ+J/bd+bgf ZqQPNBQ7qYGj6H/bHyb2QxDzRsuGqxocIrwZXWThgPDWD4P/nVeDzKTdLTFd Dkiy0d7ODVMDG7dourD7HFDmoqU3+VgNxh8Zt+1acoKuIR9R9Zka+Kz4ele5 cUK16JpZ2Es16KS6su0TzglN/8odmN+qQWuQrULGa04YvKAZJlujBnfDPS2Z abiA5rJGhfcfNQgY5daUKuKCG6dwte/+YesJE465NHABq95K0+aEGuRqitAH 93MBbre0N2FRDYiSBn0KtNwgHae+nrdPHZxt9gtU2XGDVYqa1pSEOuRu8ZG4 57mhK5AbqcmqQ5+daKE/DQ/Y2yyRwhXV4eyPTrtUHh44w1tygkVLHdomWuPF tXkg+LFqqJypOjwWmXS0ucoDj16rlF3wVoftgZfWSWs80Nh3rinLTx18z4r5 O9HhYJH5/kBXkDp8/l68NsCFAzPfTWpCuDrMiTvem5DHQWimPC7gmjo8vXSv M1gHB8/bT0tnx6oDOZqpOd8EB5sqX6xYE9VBe8mPyOeMA8lzK2cgRR2WtJkX TL1wcDxNKiQ4TR229uLeC1/EQe7qrUeDj9UhpPjNxqcbOOiWqn7L8Uwdsvti 30TewQHVqfla45fqQCLyzo9k4MD+o+14wRt1KFZXKoouwEHc9PWtkWJ1UFPf Da0qxWF9QQU7rlwdlJmZvNI+4WDQakrkSKU6GNKcVqerxwFj1EGNiGpsf0+W 2+zNOFAvPmpaXKcO772WxQp/4MB1NNrxX6M6JONty/714OC9MTnasl0dKgc2 u/b/xcFoCP5edJc6XBjoo1CN44A9x+x1WQ9mP57AGjuNA93eqx8nBtSBOayA /948DjyYCtsOjqjDDeXqGY1lHKTq/vlzbEwdGHb3ubqt4aD6AvdK/Lg6XP3x 8pjQJg4mH5swVk6rw/022nL3bRzwtl0SmJ1Xh1+0aXGauzgw2stVFF1Rh6rY xtKUPRz4KQ8anthQB8sWX4OLVLyQcYbdLmFHHbCuSnEI44ZU8Kqm1oDg2bzs VoznvwSFL9JpQNrFT9VEjAVXspMkmTXgTOfsIwNsPVPJnmcO7BqgGufnWLWD g+CTTGVJXBrQyy2mXLOFg6c39ZrqeDUgUGrBm7iBg5YK34FVfg1YARmXI6s4 WJ/MmpUV0gCHUQHXjkUciAt2UruIacA1wwO1PbM4sLakxd2V0oB7e9HDpydx cDVSU/qrnAaMG93Xd/+Hg9eFXnpbShpwdKjSb/I3DrpGMqyU1DUg56ktzWwf DnY5W8+c09aAxtNNN/27cCBL3At+QNCAz28oaX4tODgRrHKzGTTgtdzY8CSW 75iX5x7tGWuA+9wPvTFMD29/3XurdkQDZi0iox0wvfQzNNV6WmqATnp5vGU+ DlS95cfb7TQg4Jk15D7AwelHp7f2OWiA2dcBGq7bOEhoSWHXPq0Bxey7UWvR OPijuKL+1EMD/pLpxXS8cZCyVBUdcEkDFlc+tmSq48C3M+WMU7gGiDulGS1L Yuep+Jyh6TUNyDpuONiHxwGdPxO18A0NqO26GnpyiwfCJm2j2u9j9r3ERyh8 xM73NynXjxka4CWv/5Enjwc0Xm+inEwNYFJIi7uTzgPz7k/3Il9pYP0xDToa zAPuf6YiFcs1oK/s/diaJA8Yfa4+zV+pAQQ1E4scLh4QzrpjQF+tAaWES53L O9zQ76S1O9SgAZdynsf6d3GDdW9MxO2fGnCcivYISxg36LYfuDq9rAHh+914 Se+5AP922rF3XQPY9qaY7jzhgpXEGr36bQ1wvZejfi+WC4rM3Lce0WqCHy72 8w8rLpBoLAoz59EE2cOaEg6jnMBRdfhKnpom5Nf0/yvf44B/eSGhXkGaoBPc UPnGlB1sD+4Ovw7VhPBO9blIBnaoT75+eCJME/4TlXSwa2SD58EP8N6xmrBR Yh8pYcwGrgYVlRfSNOEUQ5VAD7DC4I/tXb9yTSjf31hmYcQMFsbxnoWVmrB4 nsE9YR8zfCxn65ir1gTotbfhaGCCjEeHngV81YS6AFM2miNMYO8OxKBeTSg4 N5XeZcsI3euxN0I2NSHHktolOZIejC+wzpftasJqUxnllQk9lAyl2a/SaEHQ oNagEhs9pNa9lLnEogXNMUndj5/QgXXi1+bLglrwafhUJ3s9LbQIsXBcNdDC dLHQ5ym9Dwipdy9/MtKCHfESae01GsinFfyzTdICn8fcTbcaaSBhQv5dxFEt 0FcS3av2oAHTEivba65a4KQnM+r8hhq+kFLTY2K04MKemnqKDRWMeXxsDbuu Becn6InOClRAe2OM5mKCFsgdddh9zEAFpK+avudSsfHeL0r+he2h74cHDI2f a8FzFe/gXqdd1GkqPkVXpwXMZh92tcy20ZKXpfBugxaseUmFvsX6HZ7/Qu1W v2mBRVBh51rrFjrxramG/EMLhjmUO7dtt1D/Ed+0r3+0oC19peC5zyYaNSvX /49aG2Lu62r1fV5H+y78Doqm04Y8B9z1d0nrSPwW4+srTNqQRi5JNHJeRx7N DlzenNowIvxjK3J7DU2a75HNRLTh53cbiipxDbH4SAsSJbShqXyf1y3eNSSf eOyYnow2JLfcW0uYxPrLlhcf5VS0wcX3nsOltFW0YGGawmqoDVZ0aR9a51YQ l29gA62JNhAOrR2WalpBqrczNrdNtYGKJp8b/2wFBbdOu81YawONclvEe9sV tG55R6fNVRssTJeM39ctI6qj/aPJUdrAyP5hi/XDEmqqthMLjtOGIaFAp6SH SyhF8cc5+5vaUJ5Qsx4bvoSE2ZvGhFO0oXfllk4DLCFoLSMXZ2lDjdV9COxY RIz6KlL3X2hDyLPrzB5li6ijoMAzLEcbUndidmszFpFr4otxo0JtoC0QlMr1 WERR5ncmu6q1wc6lT4RpH3Yf+Mgq96FOGyRaAwRZpxYQh9zNC48bteGEYauy d9cCesp8bdqtTRtEEkNHVF4uoM/ffGZXhrTh8RW/+a8WC4jK1HSRb0cb/gQe rybnzaOm919Ut6l04I0lqX79wTxKkUIXR2h1YPyVOsOx+HkkzKC5/JpVB36+ nb7f7jqPoFFsVUdQB5q5mU+Q+edRlPHehqOeDlCxPXkmqDGHTEvDdAHpgLnn kw16vjnEIb4aJk7UgV9t12edNmbR030zW9NmOjBfVtVsXDOLPtf170Q46EA3 4YFs99FZtAfl1E+v6MBZJ+eWmzEzyMGY8r03Qgeum7suunjNoNLD+DTOGB2Y dFnQSreaQV5WYZKxCTow20GvICE4gzocDcw9HunAnjmrV+zHafQstDFNvkoH opy05vaYptH2lTVn91od6DsTb6G4MoVOREhLZTboQIFG3slXI1OIOS6hYn+b DqQ7+T/xw+67QXeshheHdSDWvGLQ4MIUIhb8kqqg0oUxd/GPs4OTKLOQYWGB Vhfu5+Z1q7ZMovV32pWyTLpwq3d9pPDjJCqoyLB4zKkL28qz8cceTSKer6cD r4nqwiiHwrqA8yT694dcaWKsC+/ffdASm5xA8I8vLtJUFyrOdhk+HJxAGeOm lu8tdMFA8NZNQvsEsprL+y1tpwsS9DwnGMsmUPm2Hy2rhy6k+EhcyY6ZQDf4 1iw7b+hChHS17GWJCZTa1PS37pYu8EkH8OgKTKDMKxlXSpJ1gfz7jJQgJzZ/ QP9l2gNd+I+NwQ3tjKOxrLjtEzm6wOIhILrxaxwZSnPlDzTqQsOAY8NS8jiy 6PsLLd914cA4h2TqjXFkn1D261ObLgywlAyYXxtHAdP2NJm/dEHfctWcw38c ZRZlnXIl60LZ/Qc+v46Ooy1tBcZ/dHpw+d7MG3HecUQ/ufvkJ5MeVB79+Z/T /nHE9ahDrZFND8gRRzULGMeR7M5FlxycHkTVmpukblGQfW1l+XkJPRCmZhIK HqUgt6BECwcZPfjaYuHnPkhB/mKnR80U9MDk6pa07y8Kuh5PzS6voQeFR3pQ zXcKKjti6j5rjO1f0ZN6vpSCPm8e2Bo21QOpQEMyUyEFteRPpbRb6AG7ptDF mlwKGmNL/lRkqwfpAlGF57MoiKvzJ/dFNz2gTexbLL+F7edwrm4tVg/acx65 HvCiINasyRHCTT14HxG2/eocBeX9DdyLTtSD5dLsI+YuFET2iSKw3tODeEOO yz0nKOj0tSflwq/0YDSHvXCTREHbX8R/uudh/p8466VLpKAMxoKlvLd6sNI1 NpqMKOjnnUpljfd68MZYpDBcm4IssnvyjjTpAVVFY5WNHAVNjp/+ltSiB5O4 oWcG0hR0U4FM6erQgwQ2SqSBBAV9KV8WP92nBxXH+pquClGQ61Y48cWQHpBK jjB+FKSgXbTv7PgfPXCwN6Sw8VOQ7jfOrKBJPVDZXdJa4KGgXraHVe9n9aDP lyYumouCQo8LD24vYvsl84pLclBQ8YDigRtbesD5bZWngIWCpGfN7z5iJUDX 5q3W1/soqFG1q3iEgwAvJvda+qix/F1y6JDAEWBiQ+HRISoKyqI6z1Z0kAAK lvc8/m6TEcFkXm5FhAAnl7tJ57bIqP+/S2a6kgSYETxftbpBRrzc12/UKxKg l3BK336NjEpPsr1iUiOA96kMRclVMjr+OK3eSosAfw034xlWyGh+RODvXT0C /Ll5QWt7iYxuS7yg7kMEsMD5adFiLOstK3zImABF8tevCi2SUdPbYoNzpgTg Fs/dsVwgI48lbefXFgRINWspTp4nI1rtz+Ez1gQwnRtLHpsjo+dXD2eo2hHA 5sx4kgXGUNv24dIpArTONb/8OktGw3Qnej45E6D5zZNmO4zDzYZWqM8SYJlq fn11hozwyW48hz0IoG8fK5WPcXnXlGqiNwGUbgodC8LYFn/x2A8/bH33RH8L jBedNv15LxJApf7OVR2MU55FJzleIsDxK2uB/2dFMuObp+EEuPkm/sj/x7fI pjT/u0aAxeV3O4EYn/fnm5SNI4D0TlFCHsb0pZmMATcJIG62Mr2Ccfa6hFRZ IgGGXFaEbTF7jfTfmGymYPGqkxRrwHgkWt0N3SOA18runCnmrwQve1LAQwKY 3ZV7OIixdx7l/bMnBDggZGMfg8XrrUHtn85nmD2z+XK6WDyXOjNYaF8RIJHF lIsWi7e2Z7CGRh4BBK0JLCMYX92ydPF4i/l3/wmuDcsPvTh1SVM5AeqTNh1G sHyaf+gf3KjE4s8jnEaL5T/FopReroYAT7jvDOiukxF/iKfD7a8EuHXNNGNo k4xcmAzjqpsJsOsWwGOG6Sv7Cf/bufb/x/PM86YdMlJobKU+3ovp7fWZvS1M j0EOOXKxgwSw57X8UURDQeWzUXalIwR4lv6w6hItBQGfei7vBAH6CQvLeowU FJ/P1nV4hgD5R9YP6zBT0HdE2b68QIAkf50GU1YKsvXKsB7YIMCRwTNWmdh5 ebh9MYx1lwB07CZnx7DzNJxima1Pow9W4i5FBBwFeVZQrWcx64N/DS+nOHYe w5g9s9wE9EHAI/5ZmzgF1WTCt3tC+iArbaedI0VBtGr8S41i+hCd06yfKktB tx1bSTLy+pDBGleUpUxBTwvUZmcI+kAdZa3wUJ+C/gEbXshQHz6+KhKjN6Qg 2Z9kQ2sTfXgyydYRb0xBJTsP772z1IcXZ7cDqsyx82tFpX/ptD4o1dntsDtS EMvfPo/XZ7H9wsabubD6Zn2pJKXPQx/suBnzZbD615flMabnrw8/lwJaUi5Q 0PR8yy2qKH3Ydi+iJkVQEPfdh/3/PdMHQtaC9KlsCmL+yf0j6CW2392uTh2s /lLxJX11zNWHa9JDo3JvsfkZMaUKxfpQsH8gwPgDZs/zC0k/PuuDbW/BmGkr BV1+p290YEQf+sfH9wo2Kchv+b02zZg+TBlsnc6nGkdumqpKUxR9iHuIk/lE P46OVUoKVs3pgxjn+cM4bux9U7d/1XVPH2rPMA/nyI+jwR9/cl8fMgClM+OG rufGUSe309M7ogZwqOPopyTvcdRk9+t+mKQB8HF/mu8IHEdlfd9jLRQNYD1f eywlahwl/Slxntc3AJ1jHTHUWeMIFuI5tZ0N4OBdqPv4exy95JC98vWRAcTc jRuyC5zAzuupddqnBtCOkpppr2Lv54//XTLKNgD5BLJA+/UJ1OgxEVJVYAB3 yoTulT+eQOOfXgeVVBnAxsmJrz+/TSD581I+Wb8NgO2Lm12kzCQqNTg5NfjX AC76PxDY0JhE+jw3vPnHDUDL/jAx1WgSWdWQve7NG4CMtOUNYadJ5I975X6L GoGNQX/fu5RJ9K5W3OWSGIJfWyNqI3uTSPeB7XCpFAKenGYFR/Yp9MUnznlR DsGFmBDRdcEp1M035uirjmD4sO9muu4UWvV9YX/OBEGn15xvxKUppMMvevyo J4Jcfr+jrOtT6HOQkIlUPgLTRt+TBrwzaHNlLkWwEIGJkK61lvQMUr/yeZCz BAHtUOuine4Men3tTPB2JYIl3TJzOpcZlJL44sWP7wgkTNoPqOfNIJdXUjRX JxEI7mixcJnOonSZdcvAWQSidxrjbzjNos6CpodYWw1MW7kmUtgDUsl5lWOb WNulU9NGzphFfCN2ytx0ALkGkk/85rF+dPqByzgPAMujeALlxRx6rBhF95cX YHFkwV7y4xzSDvDKH8ID0G8L1qV1zqGgJe21TkGAY4TBs1TU84i80ZdUJQ4g s2plm6wyj9roBatT1QHUPgf7O2P9dqbwU0F9WwCqT519w6ELiD1BpUnhBMA/ ueQHl+MX0LWluouH7AGcAqy4FNMWkGvjv+97jgDXy44MTxcvIFEfuSt15wD+ aBboVM8uoFfvy38evggQz/ReqNt3Eb21ak06ngrgee5k577YJXTow2ldYhpA Cl82z/l7SyhZZP6f2n2A6abpvrmcJRSwzKWPywB4edbpx9nWJaSaYT/V8wyg 4Kfs8NiBZVT+7+9h52IAusjix8kVy6jq6iaVVwfm71D8uituFa0WkudjOgGE GMrv+SmuIuW/nSNPugFe/ZwSeHt4FWUfyf/c1QtwhR3/uD5sFSXwOkWhPwC+ lVMUx7+r6ERR1R7vIoBXkljPo+o1lPI3d05lGWDus+fMbv8a+sZ7/7fFKoDl ydyoR2triBDhVxOzCeC46q0Uq7KORM2Ers3SGMJM2+w9gdfraO5v1G4DtyG4 9+MTpp9uIGk+39kRnCGYr3QOS9duoLNmp4a3+Azh10nuNzl/NtCvIpVqFUFD oCl/Lewvtok+RYxGPBE3hBs+15s18zbRTT7jnWANQ4j05Hqq3bCFRMwZtsVO GsKTx9Sx9Rq7SP0nsZP/lCFELDXt+4rdr0kuUa85HQ2BYXLXnTduF3lf3LDd O20I2yFUkNm1i0ofTb3p9zAE1Zc/E86F7iHSdLvLnVBDWEO93jnuVGAfyqp5 87IhlARplJWGU4E31RHWa2GGUBiwcXbmDhUk89R98Ik0hNWW25Kj1VRYH1TK aXrdEO7HGv37w08N3rfTv+zeM8QE5+UfOUANV/l+Plx5YAhecZ3XPZapIekZ Z8D0Q0MYxUFXJBsNlJQlCPY/MQQ9C0cZLAqwPXQ1pOylIXhnvrfjeU0DyYpn pHzKDOGLvaGhUvQ+KG2XudXXbQjqLfvfVDjQQYpY7cvNX4bQrK+qU3uVDi5c sv8s0GcIJG3qdMYsOhAVurHiPGQIQ+IxVCfH6CDZb8xl9J8hSPUG5y0F0oM3 W5b61KohOLxL0eB/yADC5jzD23gjuFnU94yIY4bExl1lYWcjuFgtGU/1aD9A IFnloIsRLP0Si+tt2A/LAm2q/GeMIPVZzPvy+f3gFPhEncfdCOb4vmciMQ5Q ECRoM/oawY3hJWqmKxzQFngFzV81gonTw06DYpzAcXDZ8vNjI8idVniw588F 9V8HrKoyjcC6fA1xxHHB5aAvRyufGoGCjtkgXToXjHxNPVaabQQnnvSUP6rh guIgFbvXBUZw8O35XRs2bjje5OeU8skI1I9TPaB5zg30F0843642gu+NfMkj JdxQedDgdMJnI5gd3SHfaeAG0YtsrnH1RlBuGSDiPc4NiwcLzl1uMYJj9wzO d8jxwN2LE96ug0bgyLre4fuaB/hJYYE2w0bA7Fv27E05DzzHs1wmjRjB5W6n yKJ6HnhXJR8vP4b56/7px+ZvHuhgCMhanzKC41mXeGO4cWDfT/VqagaLb6pM ZKUQDkYK7hQMzxnBSE7PYIEcDuaOlVTULxlBRa7IaqURDtgfr3albBlB6I0C amdfHNz3u9Efu2MEAalLcSaXcHDQEP8ndM8IWJ+tUP+OwoE8WWfWaR8RTluZ XhG+i4PSD9+Xj9IRIfzHM8PGRzgg3HLcMmIggnmx2DN8Ng7MlSMYZViI4NLf 1lVdgoNOGvb9gmxEuBl1JprjIw4cfmbi9u8ngvrmWDRzHQ67NykJ0nAS4aMG c0t+Ew68wz6LrnAR4bJIzImlNhwsWhyTGechwlJmMn6kGwdXhEaVBniJwPS4 kDOwHwc36/fp1/ITofq3Z034GA44HqQRSwWJMLzP5trSOA4enJcwyzlEBOlR fArLDA4OEcqtM4SJYNbtx/BlHgev2A+fvC2K2buC38Uv40DxT49zlDgRrroO JLKu4aC8xMvtoiQRqlQqWh5v4MDg+oa3hzQ2ni9mpGkLBw32CYGnZIlQF/58 LXkHBxZyApct5ImgZn7SaGEXB907+ZFIkQg7gUPzU3s4cOogxKsqE8HVqFPt GhUvjD1vvSWhSgSR0zxWeRj7hJxOxasT4YxhWrIPxkuH59JZNDF/Ks6YNmDz w/ijsna1iHDyXmJTCbY+zQzHqwUdIrR/F3XVwvZPqHlWMKZHhNGILI+jmH2c qaolPfpEeE9bcnRrHQfpbl8qviMi5AtG3tNdxYGwlu3nKkMi8MeKvGNdwsFr pn+NRUQinF2pEgqcw4HyYEjrCxMilNx5ZO85hYMPb+m77x8mgrzfZcosGQco +kH/f0eIwNl+IpgBK0KNNtJ/rpoTgRQjkVc0iAMryQqKvyURCuy61CZ/4eDX +pHZs0exfPAd/VTSgYPTzf3LdseIcISZeZ71Ow7ITy5smdoQ4bdw9YMVTB++ AdvUBDsivKLrSvPF9HMVd2i/6CkizBgv8bHk46C1mMkBORKB5etFtQvPsPxa rWQ7ORPB0/qNAekBDmqut+g+OEOETGb5W77RmD7EPsSXniPC9f45lsoQHLjW vOj44U6EuVcfVqPPY/FcD/Ng9cbix9NsGn/0/79/eRTL+BDh1IhrcK0hDl4o H98m+RHBN/91eJgaDozPy6RGBxHhVsm2mTsOBzf6e6pWw4jweDwrUbmLB3pD vzDyRBDh9vOLHe61PCDNXWijco0IzBHw92AhD3w3vz5xIRbzn+F6F/9/PMBa pY77cwuzJ/Mz43ktHkjNuuPT/JgIBmbPAh9HcsNfvYj345lEqPl8yPu5Ozeo 93rR0D8jgsbgOTFjC274yQHp8JIIe8wasefw3ICPmf1S9oYIikxD6ccLuCDT zVzgaTURone5Hys3cEKuDN334BFMz3/NGOIy90OnoOGW7ygRtgnxSdpn98P2 /gh5zzEiiJ5pSOqT2A9Wq8tJp8aJwK3SdWSxgB2W68ZsDOaJUH7rHd9yJRvW 6NQPMVAZA3Wa2c/cPhboTYpdyBAyhn8X6kNjdRiBJqZGNE3EGH63N1e1UzOC XMiWzW0xYxji+Rvv/50BIh0vll+TMgb+uM6bxU4MIC59LtxNyRguraQfDYqn B/9aIzpFhK2f0/zceIIW6JepD9SeNoap9rmtN9Q0sF6UnjTmagyJFhejPbuo YcpXiZbxnDEw/hlqy3lJDR0UpzkrT2M47pTU8cmcGjIG3jcM+htDnU/lFa1M KlD84hu0HmUM3V8i0j0+7CLhKNpxgVhjUG2c8I732UXc+o+cUbwxXDNNIOSI 7KL18ibT6/8ZA4/oPdHZpB1UlycmxJNqDIHpSl+cQ7bRidS+ZqUXxhBye5lf OWATmR4NMLR5aQybzbEe79Q2kR4rw/vQHGOwCJBYP7C+gYSvqz+vyjeG7Ysk lpTYDTR5JfmyeakxqDWUJ/Vkr6NBTclZv3Jj+FhmhTP2X0ftS5/OpX4whqO5 Qlaxuuuo1HfSqu+TMYytAy6gaw1FnjGR8GzAnpdzpVezr6GAQ4MZCV+N4UXD b52rv1fRuYEgjrffjIHz/oeJ9aJVZGr3dGu51RhO3nxxS+LEKuI6svUj5pcx /OXDxdHnrqAc5eLITIoxEBp3FWv9lpEfbmHj/YQx/MmxD1wwW0bqm8ohP6aM Qdzc3LlUahl9/lJ0gXbeGHYNHx2eGF1CvSeK7L3XjcGa0amu02UJZerNd8Vu GsOecYGxIywhN2Hlo0+2jUHjT7Kiu8gSmp8oNOmgMoHEj6UHVsYWEWNEoaom kwnYqSXutAQuorYzc2+OsphAatsnJ+kTiyiNpCRzns0EpB34TFZ0F5EwR6HQ Y04T8PflUBqkW0TaL96y0vCbgMx969N5TxeQ17c35FZZE3h2TMT78/g8Unw7 c4YibwK/f92QPd01j5ZTFYaolEwgOH1s9lj1PIpyetOlpoaxuMhdjXvzKH2u 4PNDPRMoIB+urSfNo9Pd03ol+iYwU/jn14TaPBKvkH/fgkwgoP3Zf6dE5lFR TMGbPaIJpNuIi0htzqEmXEGGu4UJeDzhaHzkP4eSNqdw16xMILwtqPmw1Ryy /S13J93aBDpq9/OFKMyhkdf5N5ptTeB2bquu2cwsWtfLD1ZxNoGs8rrPWUGz SOZsntWOrwlkD6nvl0+dQU1PdIsW/U3ggcG+uDdXZpBH33fO8UATsLBPCY89 M4Oyrae6O0Mw++RIgVKqM0gYyTu+jjCBpJKXPnI904hX8K2nzW0T6Jf7Y8mu NI3KThp8M002gZJjVJ0gMI1s77bJGtwxgX8bdYWlDNPoDvPcjPQ9EzgVcz3F 6c8UYt1QCt59bAJHDuXfvfNgCtH8Ko7KLTCBc1P0kY3Y/fMZp9Fo5lsTiPoQ 3pa1i138LDuJaUUmwKPF6VcwO4ki6hfpr5WagBdf2C+n9v9/n1e7bfvJBISa VObo706i2eSyh3vNJqCmeHRnSnQS3W42wfRrAgf/td7Kw00ieYZfTpPtJrBb uXg4lXESnY9cFfrZZQKVvcwHB2Yn0JiP1qu8AYwPe2QZV02ggSMV7+ymTEC2 69kRtjMTyOhotn3IjAl0cdCx6dlNoDzb5N20ORNg9LiaknJkAoW5uJt1L5mA IOXtWpHqBOIP4Rw9vm0C/DlyVyvpJ5D90/Oc1mwkCLhk7ZZcNo4+v7R977+f BDo5I4G0BeNIOh85J3OSwHZVNyPj+ThaL8PltuFIQJ9d8ls6ZRw9aK4Fy0Mk 6D59qf2Lzzj6tXogwEyJBD0yxstv5caRwTYtr7cKCW5rvOvZLz6OXlHPf/xP jQSTx47y3hYcR6GsjQzftEiQFvPw2QDbOMKJBmUdBhLs3B80rVugoKtSziae RiS4n95tvTdJQWPyplPXjUng5L3Yf2KMgkq1Dmk1mpIg99XuA9seCrK1/N5m fIwEAxEUvfhqCvp0vCzYzYYEm/emi1M+UJC4/VP+ODsS+DN9w5e9o6Dls6Ee X06RoFo6ldY0h4LuXhbdNTxLAh97Qs2dOxTU+SJMAV0kwclkcvgdbwrioiqv 0A0hQUdsNr+bBwXZOC2YaF4iAdP68VNmZymom8frtEI4CTpPE22OOVBQT7xd skAsCYh51/8jmVMQfjRFgC+eBKuLGSElhynI3qAlh+sGCYbuJuirGVNQ/6rR Z6ZbJAj5VsV6QZ+CBj2VF9ZSSXD9doRbhTIFCdZfiFhKI0EtUWu8UoGCnIVz mObuk2CNR/B5mywFDfceFCVnkMC4wy1QXoKCRo6w2HQ/J4HvNYWMGn4KEn5F +t2eTYK3cSwUazwFnaGJudD8igQN25G/l3AUNFq5HluXR4JYn9EHfpwU9E+O XFr0jgQ5pfQPNZgoSPKmiGFBKbY/r07hcQYK8hhzas0px/K9VrUbRUdB44+7 /mVWkiDaVuMAJw0FSW+wB2V8IkH7N/PWICoKOm9ntnuvmgQyb1gT/+2S0SRb Le/tOhJAWM/Wztb/v49vP79ZT4IDRvT3X2yS0YVGLaW4RhLsNh9lc9ggowLR ix+vNZGA0rFwUmSdjKYj3x4O/06CXxM0vhurZCQ/MNEV2oLN93hEHF0hI18t CdegNhLspXV1DiyT0ezco8vnO0mwcjhujWqJjBQtemjdu0mQ7a0QLr9IRv6v ue64/iJBzABVmtcCGRXRWh106iXBqa1i3bJ5Mpp3/S/3ZD8JZoSKvbgwVqmq 17AZxOJV5c8XNUdGQQeo6qyGSeBm6gK7s2T0LkTPymwEi4/6wmAixks/QvtN RkkgunafLIexuuI7D8MxEtzaV3diYIaMghNmFglkEvS7cUg9wriMLH1NexzT p2Ds8QsYrxq5sahPkoCDtrbbHGPNrKwHStMkePkyMJeA8aWtfjG5WRJYJRJa 9DH+cJK3SHKeBMNG37SPYrxecowgukgCKduayQCMWbU127iXSdAsZlP5DGPh T/yudKskeMTPLDGKsTrsLayuYfF31JBWxew1rf8bO76B6Wn+fe0djJ1Mm3D9 W5j9l0PmqDD/A1oKcpp3SLCRdqzwGsZx1nd0qvZI4EhW2mPD4vWwO6T5LfVh OM62PJj//+/19g7OT/cdhpi8aNIpLN51g/9rsN6jqU7XOIBnHUwYxuHQ2EdN SS6T6eKySabncX3faTqRSEVIF7fs2RNNLLczOJkuKhW5JOMWw5RCSNNOmtQh lJIuUyJn//bebbY9xiWX9nn//Kx3rXc973q+z7PeDYpsDYL7zJ6uM2b9eBa6 /Mf0TwgeaFJdH2KWDX9ieEiL4JhWd4uI9e9jhLx8vw5BpwIdWs36azDyiL9d l+AxScauCtZ/54n8nev/TjCyNWhpx5QYNiekyG0MCaZv9OsaZ/kJmw9LWWJE cEVBs9pXLG/HNGxK1UwI1pTx1LvnxHDxqL79OI+gVVRxnwPLa53uxL1hU4IF /t/ZX1aJ4ZWRSHp/KWH/+C9LOljex/JLE2+YEbRoq6sTqnOgviRTt8acoES3 dbuFJgc2Fj5rT1oRJCF6Ua1snpL4Q/F+awg6Ch1UtWzeTre0a3vZEqzOL1j4 xJCD8g01FxztCeq0jd3RMObgoVdcK8+J4ICZi18Bm+fFAZoLB4Hg2ku3D/3b nAPbV7L8XleC+rcbU5ZZcuAV0rPyd3eCvIW9ob3WHAjC87wrCcFrbpcf7FnN gejwl+djvFl9Bu+feK5n+25WzzpkC8HWFTPb9m/gQJw63uKzlWCsqass15UD vZ9+e2MXwHzWOsyKchCct9liJpigy4OIJN1tHKiaD14/IiBYTroEkji2vzTr jpcKCRap/uJFJnDQ4qfcLTpI0CHOfe98MgdxY9/pTf5A0EjuqLc7k+0Py5jw fakEe1sC0o0LWT254SYepwn2P/30CG3noHb4kiLkDMHi5V192g85OGErvpd4 juDX56ZfDj7mgHTvPVifR1DuofLtfs32v0ZYp1kJwYT2dJ+ySQ4q4oKS1eoI Dv5wPGiLjQTS2gq3Lm4gqNAJ8o60k0Co/ivrdY0Eb5a8jjzvLAHerzueCVsI jowmpfC/kcDJd9tWv20jeL/oxML0cAnE+24ZFD0hyFX7SARVEvD/+XTTyz6C v/eRg5NXJWA72pM12c/y3Wk0nXNDAiNHNzuv+oPgLbe05MWdEgi78+3ZomGC aobvTH0VEvh2jZdn0gTBOxW/Pha6SGFBX59a3BRBwwGZ7KWnFBoT9omiPxD8 y9RhINBbCmZ3MxwD5wlmfGH3ujRMCjP+d62dNSg6aPzSQ4+x/0Ai6k3/g2KM TVqQ4RsphC591KEwprhpsi9gViIF43shmdznFPUL86LmxqWQppe6oN+U4vSF wdiN2jLYWXLrz+vmFD8WrBPynGSgdd+5P9aeYm9OdveVPBmIojvORvPZ/XOV uesrZBCnv9NnjxPF0dyZJcPXZPB2R8J/fV0ottQaWh3tlEGzvOnmWg+Kmi7a u60WvIcIA4efFVsp5i+yLhUL3sP9Xasjo2MpPo/d69m/Rw5eD02isg5RXB78 YbTkkBzuOatH1x6mGHpK5pCTKYe7i14cGE+kmNsoeDNZI4fbj9OEiRkU355a c6J2Ug5Nns8OH8+h+EFQfhnPjQC/oTX+8nmKtS6lCb9VjcB1s5qEnnyKCVyg 6/5bI1CvSk00vEixLXyC78mNQO0N69TCSxRPVe+YcP56FCq/Sj5S00Qx+Ix+ 5Y4/R8HiQnhm1w2Kp7uPtg1qKaBC2/cnxU2KIIj5X9EyBZRxFsfsWile8bfr q9+igOKSR1k3H1B8eurRkd0NCjhvZJ7T+YJixEgOfOY2BpnzHWXvZyl6FIgP zFkqwe+cycQss9pg9/PvrZSwdGWE16dz7P27eJs45pbtGlIb5sC9f9BeayXI 62GVgHldpXFh1Uol+EQ1NI8xTwzVl25brQRef1HXxDzFeC9912a+EsQx8iWa HykGWOoXrHJUQr36eqExc3BVykw58ybb5waOzAXTVY+znZSQmmWwPZ65u9fl RbSzEobdM4dmmN/FXfvXsg1KuPqyz05HRXGA3744jzn5e/P//JM5yMd7Qg+U YFx8x9KFOXvqdssc8zczsweSmblFK4qfu7Lz7I2iLOYzueJqbzclDFnmf3aR OZB+IWpnTvLn14mYPeunZhrclUDlGX/rYXZbnmdu46EEo/QnfgPM7vbX/MuY h0zMLimYG13dT/I8lXDlqnBKxaxVubk7m/n/GCNrag== "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"RP[t], X[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {1120., -210.}, ImageScaled[{0.5, 0.5}], {700, 400}]}, {}}, ContentSelectable->True, ImageSize->{1505.3333333333333`, 432.}, PlotRangePadding->{6, 5}]], "Output", CellChangeTimes->{ 3.417798461501991*^9, {3.417798497323577*^9, 3.417798501025707*^9}, 3.417798549727933*^9, 3.417798594542742*^9, 3.417798632895945*^9, { 3.417798690297055*^9, 3.417798726265628*^9}, {3.417798851963726*^9, 3.417798914631921*^9}, {3.417799173491013*^9, 3.417799176601295*^9}}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzsvQW8VUXb/71uzjmEoNjd3d3d3d2oWKgY2LcdWGCLomIHiq2IrSAqioKI RXcI0t3zn+/M/Gbm4Ga7vZ/nfZ73875/10fgrHPt2ev6zcw1V6/Dzrzi/HOa n3lFs6ZnrnlAizMvPb9Z08vX3P+SFvZW1b+KorpZUfxr3zUL/m2KQn+U+q85 f5T+3f/91f/Er052f1XlE5SRb8Yf6ZeDF/2ZwyNlnRK/PbTsbw/jzzrcqirx 2yPcn9W17tn/jij7oVv/8SMe9t//iIeX/dB2iwbTj1d34fH0t3uYot7Cmyon KY50/6rJ78XfuedyvwoPpl8eUeZDt/3z5zz8/6nnPLzMh7b/j2E9vPyv/xmz JZ8trdmieuFf/gf4/td+XckDpxX81wcuA3T62EJ7KaGwiNkrtxzKoVfJUiuF cPknLfc0/+mTVrJ5/3YN15T6+N/Im/9cyi5SKpaSsuUesLzM/s9l7CIfsIyM TY+22aJ+O/i/49Mnub8am69+b+do7grXKfY61l732+she51uL/7+wF7f2Otn e/W111QzNfu2tdxo9c1YM7bWaFfa6yB73WAv+3Mdc4I5oYp/FY3MBfY6z16P h+tVe91qr5b26myvH+z1m71G2WuWvfivu3/4oyLOn/LH5bV/3CLnsIGZPmuC R8H+P2+j9c0fP31shtprmL362esz85mdpC/Nl8XipqO9nrPXofZqaq8mpslX u5hdJixllnJj2GtG/QX139l76oFntRz9wBI/9BtYNCz69BnrkXb/4v8l/gfu Lf6/9L3/P7kXd82tYW3PM/Pc/QnhGmOvQfb601725zosqCr+VSzldsnX9hoY LruW3WeftddH9upgL9b7zfbaz16sNbs1WGsjVzYrL/iX+ZddkxgodefVMXV+ Xm/Whk8fPekkt7rfHvxFnd/6/PG/BZFf7nVX/GrAL+ff/EerN/ebejC//nLb GTuOW3LeUtXuqRtPX8wsNqfG1Py2kdnIcbilvfi33VHub3bY4eZwPtpja7P1 T5ubzUevaFacV2Wlph+jZvAqc1Zjp93TdPyFfNVWbw75zD7M//rKiPdq3J/1 qn7tM3q3F4e++8Txk06789zxF7+179SDfl139gZzqxZUh1lcWtJjdl1TF2ny 5W5mN7O/vVa1FxJyB3vZ2TdH24t725vtv7X3+mxgNphVz9Qz3ljVophTvaDm l3VnbfDV1jO2/2Sn6bvv8cKwtxv+2G9I/f9ZGRP3SC3NIByyH39szIorGlO3 rjFXXlk0DOJ4vpnvfv+MvewRMHBtszY8zay7oF6PjWdtvv6Hg7oVDf6vSP3/ 4r24XEqpvEuUuFff/dnIzLFXL3tdbq/mpnnHQ8whY5Y3y2tTjV163jIvHzL5 6DPuHP3Qyl8O6P2/dSLX9VJh9S8G9jz2wZFPIbc+2G3a3n8uNW9pqzuycZ1+ 7fb++fZqba937dXTXhPNxGIxz24OgfvPnjxOU/ncXm/Y6w57nWhO7LWF2WJG A9PAy4Tq0cvOXf61A6Yc1vz6MXcwxJL/Yyg0yO8hDTd7d3CXs28bfR8S8YdN Zm4xs96CekF01Z9bbap/2cRs4iTd1fZCEHxqnOZmZpqZfh3UMzPMDHcLxfMJ e11rrn33MHPY5CXMEmGoGgQswz942oRzDn90xPONv+83wKri/y8QgZl1++ef xiy5pDH/+pcxb7/d2P8aVfpHeyRy0APOzReNu7JBr77Ddi7xZRt5jJfu/13f y8Zce+vQuSutMnDOamv+NGuDTUbMXWGlNhNPPvPEkfc+vsqALj8VK3pahjrm oZFPd9tixjaf7jR9tx83nLkpy+OFwycfx9AX3vDHXcUxJb5rWf/56j6/jLrh z4uvbj3+zAuGzFl51a9mbL39i5MPO/aDabvtfejwx16s2/fnEfquVTsP6HXH eeMu6bHxzM077T5tn/GN5y3VxSoDfFe7YyadsubnA3uEcWt/19EVCoY13J/V ZoC9XjQvPnOGOQNNIaz6vmvOXufx4yeefnLrUY+x9zcq8U3b+n253Df9fz+g 3fBXr7/kz2vQK0BEByrncs+tzFZPnWXOcvbO2/bqb/ovtUipVOOkkn0gc645 9/nTzGmD1zRrhuGqRy03d4Xnj5h83Gl3j2rDU+1R4qlW8zIDXW6j9wd9BekD p084lyN9WoP5i4UHQ1n4CEXhCns9aa837TXbzF41iMbx9sJqud5c/8WeZs9p DU1DPsjWYPZvP3/cZXs/O+wNVgRffszfrdyFPAAjRxqzhTWolrDbsl+/YsnA utVpX7SWIst3yMpzVt3ruWFvFjuV4HFD92f9+yc0OXf2gpoavmbGgvr1+81e Y227fjeesaBe/Tn2fh1nvVX1mb3Wul1mbLvTXsOefbNYxg+30ytDO3XZbsZO UxrObxTQbTB2ObNc3/XN+jD757JmWZ0Dw1ecuzKTu8y3/fsWR5Z4HD9mvR2H vvrB+HmNl+Rb5y6oqpq1oG69MfOWWXba/AaLFf5Zqvn3e1P33L/5mOvvWKrf d/39Rxtc02Ls9Z23m77zfKuV85UgwKNMXNIsOWgts5bTX/1jVn2z5Yxtj3xk xHPMcLFUicc5yt9r3O/7AR71UaOK20ssuLUD6gvs9aP58bL7zH2IQr5TC67f GrPXfvK4Saeyilb7YsCP65X4ui38Nqj5pe/I7TsM+ZBz4qVDJx+Dmq1tAFu/ bmw2ftaq6Re0MW3M9/ay63z5Ek+1eNiX1pY+82nz9MsnmZOYmPBA/VefvRYm S5O7Rj+81qcDf9ilxAOt5B9olS4Dfjr64ZHPtD5z/AVgm0113amNTKOuu5pd 77vMXHYKm62PvawKuZ778obshN27mC633Ghu/HpnszOHi1OzaxY4Eczy3/+p 4R3QjfMVUXrt1//LyWuGDzdm6aWN2WknewzPWyqw/IX5ApTYZJdeO+a2s9zA 1SyVBVbOT5nfsNHuw158x59E1TV9fxm53ZDXPrp0zLW39Zq14aZhsX8+fYdd 9xr23JvZgVKvXu++I269YNzlYuMNzkgOwOlmenDZ1TPf2utKc2UnazWw+iYt Pn+JG5v/eVXDnn2HFE09ovsPb/fqzAX16o2cu/yKD0w4/dyGfXsOKer4FYzs 3mRwxy+PGfHg05wdg+asujpPNN/UqXPfhDPOX3HAV78Ujf3zIJd+3Gjmpk7J snNrbrFXd3vxPFXheexsmLfsdZe5q996Zj1o7Rmw5GXXjLktPE/1v/r8Pqbb zC23cT4Y88QTpRb5+mGRMxwKkV3kbx9hjhi/tFlai3zQqnNWf+aoSSei57Gm jkj61nEPjGx375kTmn291YztMm2jZsQqZpUOx5njGM55laaYKcXmtfcTvq63 jjRHOlESvgpR8uJhk48975Y/WoHC4f6rmKAdXh3yIbP+ysFTjhy60pxVtVRR xb7ZyeyEhuqcSL/Yy6pum4elar/ZvG8vq/NApjmWpL777PEXHdJ2+EuL9+g3 qDg0LNVsJZbzvgYfozEvvughfvLJYumwVqeaqTDHV93fZMJ5Z/gZOWj4E+1Z q29P3efA+v16D/MWV90th7z9+RVjr7qZhcNIn07fabeNB3Xs2sizj9j4fe3Z bo7bWw2UtRC01hrYff0Yc4y2HwpZcab/tuNGPtCO9dV39prrLNP/277eTK1X p89vf7QYc/UtnWdst7OVw07m3vTnRVcu1q/XUPkZEJ4XXzem5cz6pj4TZDig J5vJDdy31jVz7dXWtMXXwDczZ4169hscvhglBj66ml13NWbs2FILb2P//HXs wtv8J/PTxQ+aB+GD9a5V1Get2es+dcykky/995jb7Ry9WP1Ln1HFfh4TTtZd Xxr63uVXj70ZZ8jI5eeumC8JtP3W1nA55nXz+iojzAi+2E9lzb/sAtzEwtbs UfMocOL60Vdi0+BIsNvoVlZc9a9941ci4Fnw950x4XwW/Ky6VtqFzw1Zw6yB KIaNHayoqLHSOyydRnx1w2lm2n4fm49vswoDglXOBaas+2Yzt3ro1Alnn3Tv qLbsr/B1TMGm7w3+stmNf9zdf12zLgpPscOiV2OV/tx5Z2PWXNOY2bPDanRb 7oFLzCV8I5o7xkJxmp8rBM/YeUsv8+OsjTat3/en4X7N1a3Xt/cIJOvE+Us0 nregTtWH03bdC3niV2w1Bx48wDeutSXCsrfso9MBDXu4iadmsIFzVl0DZWSj Qe9/Hdb12gM/+f7lyYcczY4YMGf1NXca+kqn4ISoqf9T3+EckzzyO4ebw/H7 hbOvBn+3ucncxKnPvtiw06Cvi/BVuw198V3W/EuTDz0GbFqWQCoXREgLq3hi 22Yyr2Zyo/mLf7TLtD1vuXDcFYiHpb+zus2uHhrQ27jjoK7sj14bztrU/r8J nqHwUSeNT7XXI/bCm85S2DPgY3Vb085eVptmTsNHptef3wAFlJWFRr3OxwO7 h2+rWbZb/z64ua6+fOwNLPQRK8xdSU+phe4c/mioo83o8FU1WHI42bHgPtvb 7D1lcbO4PocKjnbXabdp+xz0xPBXnJq6axLrGDGc4SDAQSfVCsDNXvb6G8EY l+KHH3rB2LZtsWy4Zx+FwR47ceIZYQlWPTvpyBOsMljXLo2vwhlYs2z/bn2w gfj8G1P2O6RB317DrJbs5phzlzP4k33Nvnh+lwzg2n8yjwzf8rxxl57uR79z /LkXs8L2H/5UhzB69R7DXnibE3jOguqaC8fceJcfuAbv6rdbzNzaqZl32suu kEKjf24+xwBCQmz7+pCPTwtHk13abJ8/5y21dMN+Pw4BhMItOgfJNl4EuDOw mb3ON+dj7+gUggtUttf3n3LotS3+vO7QtiNeXOPzgT239iuNQMfO7Ye+jxu2 7QkTmyB1WCveq1H986ZmU/Nve71jL7snDgozb1eBec1eVnlD1qCvSzT+sczc 5T7eedoe3bacuS0raoMPBn2DjNvS60Ms7XU/HvQdC6DjntP2w586cLU5a/Cc ud7t1jf2GuvbngUHhm/GZcKtx+xlddlxy5hl9M0cuAh0zu+rrhh7IyYhEnUr zypLEFiJ73BgfrH99F3w4IQVy0GD5e7CV8/bq6/pW+y06BVYrRW4g5WY665r zPz5WoEo2Qx6+l2jHilO8Wtk+yEdPmSN3DHu3EuKpf0audwekfNMVVXXGdvs gK3g9cqaf/3eZwwqM0M4s5XtrVPf8v/k2eZsfnfTRX9eeaoffbUBX/zI+mad B4ukeol+Pwy0uuguMPDRtF329E7tasx6RBq7lWldJskN7BzEEqeeH7jm6rGX 38AAbmlzJy6+heDYIcyPPYXcUiRIaA9bplIuMobmJOq9/qyN7KF7EqYBUg5B XKzrDUpsmDU/G9hjn2eGvdHspj/u4dTC+YCGyNLIjGesYhagM9VxIs40M48K T4HyYI98JyCtIPx9Q7NheIr6HBw/bTBrYzxqbHMmCVuUnblk93791/YPwiSs 1HXAz/zqxHtHPo6YxhXZc+NZmzFEeBCeyZnmx9sLnlEErel+dHgQ4pFY8TeY G948yhwFwoJj4hLzG7Pd8KWhDJx436jHOfxX7Drgl2KdBAez0dweBBfYU5pl 8eGu0/YCDkRleAqe4LvtrfZhD3Aj687CsVsFy/eJJ7wAve++sHzdGvt0H7MP bG715uDPTvZrzNr2a02Yt0TjRv16Dg4Gd/WxIx98yh65db+cse2OHO11kmKB 78bpppeaS52U0+hWHXOr2v4Omz7sj8cmntiEkVjJ2h9W8g3/dda6G/CAzf64 6R4fIqpGfGDbTmpsGpuuputyYeBRZhQTzXGCnzI89qoDO/eaNH/xJd6ZuveB wVSqrX6Xck3t6v6saybZi+C4VTrMxeZijgNg9zPYkH8OW2nuKswi+ikxItbJ s0dNPgFVa5s3hnyy9icDv2dZBa9tQ6wA1hXRvn2fHvb68fePfJLZv+uc8c3b HTvplB4bz9xsXtWCKg6IsFLc9P6wjdkG37A7NFhRdmWd6p6yHkabm3Gk1lXm KqyrAeuYdVyw0YfcGnKmf+mdd8fivsZHwGJDRu746pAPcPSgGdb9ue+IwitP jVh8S3Xv34/7sGLP8fZsheeOmHw85jxegM92nL4bxwumWVjXoELw5/2DzcFO bcAPjMi2C7I4NQCLdwvVATFuBS57GSMgPC2SgtDoe3tO3f+RUyaexcF17q1/ tMbpcuCTw18BNKvBfOf8wt6P24gnxyO3wQeDv2l6++j7eVL+bnH1mFvYNm/s N+UQzDHUeMANT4v54bA92V5YwVabdzoU4ay9K9g/Eycaqwwas+OOhRbiODMO M5OzCJPlRL/o9h/2VAdGe3/a7vsWy/n9fdKoe9uiS2KtofsidbBHeDY8fyuk PfPc6eZ0ZvSUVqMePcmPuNbAT39gzzwy8ZSz5OGt6vPraJY6ox4z8qGnucuG QSEjtIIJXmjY4Wb48FXNqpyCdqN/GoblOOJB8W1UvGM8VC5RxDkyXrCXVaBJ M0GWsCDQ5n28s9oaJTWsck5+/Mt1XCil/m/rzF5/eoP5DfgbTyvrABI22bTF FjT0n26A/o9JRWzZrG4vDI+n7UUchewPIvrnuQdq4DJMmE80GLJVrG5krBmF Uos0ZqzCj9uQZcGTWVW7mq+dttj8xfBZsXm4x994wacuNr+hHdkdJ/ghiO4z prnGXohfDoFf7WU35vkBF5IJcPiwIUiEsdLE2u5HoqphkNb3TzDbKvlMMkoU kPCtQ1aeuyp/uxlcZu6y/N49gf9MA6QD0fgPDjQHOiOa3ANWsjU+HRoI3wMX vZJrtJKbNTNmMWv0T50aVnKV6WK6sJ2fO3Ly8UVYxizVcfOWXGq5/t1+L5b3 qtXFY65ryfBXjr3yph6bzNrcaSf2MVYK62y2mY2BgCmKshlGajfp2FNwGq88 4MveYUPU4xD5duYWW9uDZsmDP/zqJSvnV3cOqt/N74WG+9p8DQhMxWK9+g09 wQ/HuTRtwWKL/Tp73Q1iNsHfLduD3Z8NzUh7kb/xpb2IxJG3hNBnqvDVbWsv q0iY48xxVt3c2GxcNDbgTUSfv1Ecrch1+R4cwufYC+c+Kw4lhLwQxid/xIqH 4lr3vSs7RZp7rFzMK7K0WtgLVYJ5RIZifjGmMgk4Bci04G8OV3KtsFP4LrK7 eHZ4+MpejG2NlmuD2MViG2Gv7+xFygoerfvMfXVc5tYybg3vaC9UYHIX8rwO XE0oOTzFRfYCGZ7yAXuhgRHx62QvsmLsselTucKKc5jHdda1q9c42rcvgvvZ SQq7ZpDvxfF+6jYc1OlrhNht45q1KFYImrEVka9OOeiI+fOr65htfnAJJsUq YVXYL8XgHbfkvKU3eW9Q1+OTZoyMfHDCaedoGOTmlHmNGs3rukfV/Jp5dVhQ YZgqbA57p4qDsggrS8vbCcRKV5b7c3AF227+fGOWt0CcdFKAw+2X7tuZ7cYs M29ZdIfjkoo0fX79BjjaQpCu+pyH+txrRqxSTB2zdiOzYPq0VcMIn9rLAkoM B4srjNBy3HmX4o9bfeAXPQMY1dhmv97SzilZ5tP7DlktPNft9rIjYC0V4ePV fX8dNXTOSqt+MX37XWI49r+KQ13hcM45xjRubMycOXFZWBUeo44wcHFs2uX4 4Z+edPRJAYQa4mDI8YFP3b62X1onn1yIj+vsZfnAINQYeMoJCyHKNMajJ008 w526ww/byphGjYwZMaIQmvb4RfXjLEAZCsMcOeKR5/i6I0a0ef6/H4733vOs fP55OK6rHrbbDjg2f2dwZ8X7zhl9673QEfkKM1qP454QUu/NzGZOgzXbbusD fWPHCpbXjjXHorM5x1YY6/RRdz3CWPsOe/r1MFZdwmLAcidHmxk82Gf9bLTR agEZe76gb2NLo/SHkT6etvMeLBQWzKKRSYxXgsfUqf67r746qi9WsOErwa+F 4hTizt/P3HRLYpDuJ39A1SdCjJrqjpLB/vuM6dvXq25XXy12xpgx5LoxIuyE Eb+esdV2nCqIH42IF5xDiGipc/O5/3bc0U9a795afii/Fj/iCgqMrzPw4+64 ArCtQ6rZf33d1BNOe1tNbNNN3U9h3TRB0msrh9Dk5oPf6cxQF4254c7AUjWC gqQCfH7ocNHHdtppxjRokC+f0zA17JAX3TDmTg252eB3O8MWSoCGxHwksQNp hv4f4xmjR/vNfuSRxer+HoFPPE9Y/xoS2Y+DxKVA/LcjdccdPnlj3Li4ouxE ohiiehFrPjIJXhSVpfp37xc4q2p1lnfQcIwmY0Ar6sYbxRZaGdoajigFKrvP 3GxLnm6dQZ90D4pPNXLeqbqrmdXYVXHIm2/2T/nbb1GkWbUdUfT+HtP21ZBE XNhxnabtvk9IV/pvROqrr/yyfvvtYsVwzyoWeKQJTRc+XFdFPBQnJQklgol0 KbYJsivt5cMPN2Y5q2POmBF5GmKGANO7e009QOMhPQgO/DJrvQ0FE/scGsS9 6Wa6xVOUbBxrXZjmzYW800zsDGHmasi9hz37BqycMPK+J0rCFCoMzIABvkLi hx8CTEMqgGn2bL9PLrssqKpVd1tzHPZ3eXlox8KHGqsOG/HYCwx1yPC2L4kt 3GA45JwlYU//iNSXX5oQWhVbLe4198IWDlQNSdAPusNHPPp8GLIKmxm6C636 mR7x9NP94WZ1fMk8ayyhR2EX4w0OQ74w+fBjUcJRyMsiZZe8Q+OFF/4eqfp6 jN1395F3+5NfUNWLWVsJpw7JrzgeDvNfibbHUe1OEm/iVmP1Y1vjK1/ZKu5x VPJZtvH+8MBclWUOEwvLDebCqIRusGFculMYFY8jtg4CnSeOkH3/vZ+Chx/W FGzzg/kBUlwTRRgSbyvK2aMTTzojRBFK4zVtmserVat/gNdVVxlTv74LuAW8 IDoEP5CdYg7pQ9NjkCDw0IRTzw6cOX8y3g883LtRDlFr6Icf9uz99JNA4/fb fm++F4th6MX79RhEINdxGIbGmcyZSt4fM5iGrsNUrJ4GfNAavAxIpDkM2GT0 Xe67dxjy6oclIctl1mWX+Xvuz8EVQPbGG56v776zZpa7R/CXEwYVrjjEf1/T 0bffb6Tah2S2K64ae7MT7daYCkFwO9748V7AXHJJSFyrMhlLGu+0UXe3YTwX aAxOUjxTuAg5CElziUMK+l69wsqqJpeAtYqXGcU8jEp63sA5q63hFJC/Q+rE E/8hUqTCcP+BB4QU4Wx8L3jexRlKP3lc7qeQw0XUkEAT2mTRSOMde6zPD58/ P2cLjxhxTNg6OKmJka0wJLo+EvPY18xrIbU8gI/yd/nlAv8orGU7SUxWEcYj ood542Is9RcFU2m1091toO9b1Wr+p3pfZYCEsHs8TQ7yY6OWYKJe/+cl12iy V/h6wK/4psjvJ50hotKhg0e5c2excCTJNXbIK68ce5OGJFaOxnPLuAuvECQn 3DfyCehIlQoB6io0J2NWszt2wQKNRzYI69vFdsN4uM35XqucdVk0JGFlrL9+ ZSsnwnSUNfI32CCDqdZpgkpzoP9K1ExG22DQB9/Iu4+6id1ARYnpbXpHztD0 2WktWhRr+nukS1Getd5Hg74tFhrShXTDkCT0KLGMqFkc8vnnPfjdu8esU3tw YLngwEZAhlG7zNhup5/RN5yS/zd4Lb74P8Trrru8Ljd+fHQ39DA9sOlw/Ysz cnOcE4uflg6acLNxLVgDp75gXigaa7xDDjFmnXXcT2JrlBk1YYl5S+Kfh60D kku396z1fQ5tiA/imsbR+scKZgXQWEKj4tEmpfOaa4T/OeRp22/Hn14ckBwr LP7r/rz02ljXsSikAIODr2KkqDEJu8Ub4VVYoAgGzulif/99y/f/+jc2vPMR BaTIpYAOf3mIrGdRrp9/Fk/OYWyfjCQSjbfqgM69Ik9hPKLJLiuhs+mcxjvg AKzgWshb24EwBugT4AlDXj726pv5aoy+imDq188E31l9M2cO57KXHeefb8zW Wxtz2GHG7LabUzTrmGWXNfaEYrJIx0FDIBJ98MHGnHmmMccfb8zRRxvTpQtG jrnFjbq0mTfPmP79jXn/fWMuvNCTX3GF1w2RKChneAwY8txzjTnhBK+s3Xef MZ06YdwaM2WKuTUMN326MT16GPPmm8acfbYxu+xizEUX+cWJHNXfJGqddJKP l198MalsfrhhwxBi5ugKVgVWI/cfeii6ZqxRSdAP04lc0P1qC4dNBnfsqvXO pBABcUH+WWZWnMtRo7zRdvvtYW24ufx4P7MfZyAqThiVRE9GXW/QR98q75fE CSfE7zH3FEtpyPvv9w86ZEhcbv1Nf0QYeRhabt1mbLGNtQV9fkIla8NOZKjn rmE7mVvtHBx4oIfWrgfihQX5u8iYzTYzZp99PPR77WXMQQf5FXvWWcasbs/l rbby7gp+T0DTf7bGJcUy5i23+F1ojZrimvCdJI23bevH2XBDFy0gwFiwVokc sHpYhGuvbcwqVsI1bOj/bf/2ZHUd0Mss40lbtjTms8+MmTXL6BtwhnbrZsx1 13mSlVbirn8yLEb0Cr4JDwffXgfXqX12OA6lwKSDOPrqam/rsIafe86YgQPV yaHkKotqGc7Ypk3dT0H27NrVdCU4RBp/yNVzJ0WvWRtu4n7ywd1qfEaf7Dx9 d5cR8Lv5fWkNCRhLeAGr9TDIDKIagBCnhiSKTpJcPuQmHQd3xSFDVjDLMi4x a6E6jh98sPBF2lVX4463nJNXUezrhyS2EiXaYhUssVdeSUGRGTOMefppY/bb zzgw+T1Ak/6HPm5NPtOzpzuwg/ZX1x3ev/zi87LuvdeDb+0yPyfV8ePPPmvM pEmmhftUI4Seuekmb8FpKlkpaCSXXmrMo49yFOAEMWbMGONV18XN3LnGDB3q IwovveSHYN0z63Xq+GFYj/vu6x/Grt+iRdjirLSOHY054ww34/4B6zk+99gD YeCwcIuRZW+FZtCY6zmJZxeTW7s8GfiwWBs31uKrZuE6aYjonjnTHFzBumMY 5G5cd85wwnPC+UMiyj5Jz0VJJKVWckiO2rOeMk8Vy2jIQw/1eI4dq0VySfCK kARYhPHwazHereMuuFzrjqQcEnUwslf4w/wRh2TfH3xwtpSrq+eaudL5yBcI o573xy2t4Jk044qWnj1fQpyyvjsUmjf3PkJ+t9563gh++21jJk82K4RzwR5D LjV6yy39HoMUDwxH1gcfuNhKcVGg5di7+mov8LS+OEhRyn74wdMuF2gnTDDm 3XexNzzD0Fshafbc0z/WH3+Yonl4VJzinHkITuh45FNO8SLHHi3LhUlmvf38 s5efxx2XOEOJREZCbmkOqGChtGjhubQGll8oNRA1mmqmEu8ho4509mJvj/lZ o1s+wJBbDX7zM83ujq8O/QB3AMnJfDbO7o8/+qd6+umwYJwLhbR2fKJkioZR z//j5lbRsAij4ixA9TrgQ/NhrVE57nngWbO0Zvj1Vj1NT3RffIhhzXwyfefd ySV3Py1yzThY9g8Cp1cv7/PGPOT/Jk2c12yNsFe//dZrIwh1GEOitGmD69EU 5wcaxMjjjxuz1lqehmFuu82Li9UCDZ5dXLEb+ECZM1AY9/ffTdEs0Iwd66WV ZCWq+Wuvuf0fJqq+8xF+8olXICXpWNwoV3Y171fB9COSud+/vx+1jvO6VO1P fNnuJEwFzX3HaXvuRxaq+ynkveI+I3+M7IfGRGr5tHJn3QEbLN9sqkhmJx2M DLgwNOnacar80FUKirS6wlxR1Km1BNhNQaFfM3toafWu0GyvEjZww78RHMyn 3e3FvmE5sMvRvphDvg892AqTdcIUWVXDifUddvC/XmEFv6E5ws4JQ6Auc4rw e/Re6O0SWTv8GvgxfFnQzDQHSJ8+Rp9mMbVq5c8gfk1Y02rba4cHsMLLvPqq lxh8wVL2QL/zTqcDFftUMPnffWfkil/V7wX3C4on8ceTVlbsmXyBJIXeO+HM ZioaZgLZ+Dt2M938DMWZRzdfeeU082GGbqB1i11WJA5rZJJVGfme8U0vVMIz uVdk45JMVXe2mV17+mEbAXrjjfng1fWt+k42+4DV56xJfm4Y/67x5zSHzS0G v/3F364AlFsrxwN6Ne7o4AQHpf33J4Bqig3D75ha6PkdtbvvvWdPzPA7FOoL LvC7Eknwxhum2CBMKtEFNB7mnHMDrcaeEfoo5g+bnWE5G/GJbxB+x9FCvIPf oXe//LIpl1cWJxpFikexVkk20dVLjzfjyQSiyAJXWihApVCYIXce2v597Ubi fczctXeYOzx+ca4ffzyKkHw6qCkhaoyvDnf5QoM7p+YSyXuD7wR3y/p9Td/a 47O9dvVJlGtkq3QPa0Oz28lA1FoaNXe5FeYuqHalZH8710gme1gGAKvNRx95 a4JD1KqUmwbMMSwQqrCIKmCP4aJJ+B3H9eabe2w53jkIQqWQE+AcruxbDgzm 6ozwVSi76JJYIXYDbxI+gg6IKcVXoR1YvTfUR5Sc3ujRZIWd7CmcK6jaI0Qx UUxXCPC/NuWAw0CJGJ/gJ26PlUFuHQVOteG3h5IJ1WJrZvDLqU+ivwZ/ZcrB R46eu+zy2eAxdHTGM+YZL//jyNdc40XrlCl+YsNjP36uOZeRSRMtdvejkKlB KOKZyUefFFJKFz2x6HYkB+4V0MZhh7zAzrOqtuppcIigmbMPmXO7jovTwkcQ 0+hgSFSr++kjeCsk7VGHOdT1EYkJJm706NBaq65T1fBOSEVjt9tzZfdsWt1T x8nExbHZZmkyazwqBBxIsnBuy908AlSZTJ2/WEMXRQmTibaGxx/vxEqjzCgH qlLw3Il82mlpLwXIOWPZS3SI0eCUikye32jxxycef7omkxozJD61Y15RjJOJ Kgp/d92Vj1yNUkAQggxcQnFhcHK9od996AvvlJlP3zHtwQf90FZw7hHA5txE dmKMWVm7VZgfTD/8FFBzBOEmPDl8BOOLj6BsWZm6ZfgI84O+xCrgmL3jDlOc Ej6C/sVQ6Gl2KH0EK1GKfJjtokx2fJxZ1jvfPnt29A2NNqPJPCSbGg/rrsHt OLztS0bJM0vUjmWQr604gvfKre4DI+uEIWeYGWSnUOvtqg79xw8c/uQrDEl0 N2Q5VyOVUd7oSUBuz0oalQgJIq1Jk2LdcC9EBykT0QIhqkstEVnCfzuHr79u QngqLP1qZz+xLXEQWa12m4DuggVeiWGuNtnEe1pODB/BQcC2hOVffw0fqeaf zpHDM999tzkpPDN48512GottA+kzz/hpxsCzp+muFUxby5Z+mA4dZPcqCeaS f4+5PRSiVbEH2YtsG7UDOeyxES8wZ5QtRCe9eeABP97w4UJ3zy/MF9BRoKLx 2k48oQnbLx+PCkNCZE7hiuMRpd7Xq6xhPNzVGENs1yLU1JNQQQze5botXmK2 buBPB0FVNm/sGh62UyezW4AQBYXJwQdlFYvtw+1PP/XHJ1qwJTk+3MbfwS0c wPa43C7MMkvsmGNMVKtRWY8PHOHP4X6zZirbq3aSl2OOaW7f3uxSwby99ZYf 5u67Q2+Eqs57WAFi542kNuFCostbU/f1Ia5GSf2kggBHBBkUEWqF7197rVgv 3LvYXIw3b/cXhr5ThMYsaB/URneYcuDhgpoOBy4O3NK0lCfQe8xZjfPmhamr JsxH6gJbGB90GHKfYc+4ELRLDwx7jbqUDw+wRj5h+JtKIOESpFyfrV3C4Lgi QJHVb8/1HcNt7FHmh1Owa1dzbLiNeYnixW27xVSVxQZVIlHYu4U+gkXBkY4Q tsbLDuH2H394SclHrMG8cwWzhzcmnCdraymZkdQ5ISzRGEMrkR2GdnBlm2eP vu0+TaDCgSiURMkj4BhULKHLLgsTWE2RGam+gI41G0Ylhs+op46651GNKj2J 9HNik3HUl16ScIvLws5J1I7CHJJGQVaHqw0Nc0hho1sWzU3zRc9h2IsoLCBo wd81fA32IhGbb781xc6BIQIbwaGOTntMIEUX5dNW34ykTz3ltzI+D7uVjw63 7YyajTf2fsiJE81O4Tb27hFH+FEee8yUqWeMgWr0DTQeo/4kVQQdlWeibjCf Tt9pd4Zae+Cn3wsZyumgIzswZmG5RbS9lwlC+lvzLbIO2ajx8D1i9NMNKZgB zgdJyoCrW7F6kXLFou/b6re+u0RMtDr48eEva8haYiIMibbEJLvSEXt+3sjH XQ/Y6mzW+A/9/7zzgtSqcsEyfnPjjaoOq8YT7XR/9BArAI8KpNJaLrookeKk ZNKZNWtxiPSSS/zUfPKJiRueJYPByH2rBu/4N1PmvJjhEHnlBHMCXgBKCYsd PQr4aChzzlCoQvKBAt2NYjaL+fe/veUzc6ZQvS4kgTtncRiPmIdLAM/Ga3Py xDOdotPJdErjceqfc0428dWE3VxDSGvAkl+5Q5CKg9/tEsVBw5RHMWolsxLB Pfb7zX+z0fiPuTjsMKOdwtrHCmRjWbmosxAjjxlDj+nTx4Q+v06pxPuOnLX7 StTICSgJu9pBjgjMYdVzu3lz6ZFe9kpiHnWUKdNIIe41wkwr+oyuoAsuM86M o9pnRr0F9TlMtk9xHJJrrxnb4npBBIKUb5FqgvM3Aq/Up+7dw0Q6Jy5JEchi qr/DqKsP/KInpASpNZdHPTzCKUr3XGmujMEq50jZyqvsYW3QUoOCHjLLijCR ZDTzlK6iZ7Ek14mJkeax6c/m5zsWmjT8JRb3ncM3KXL68cem2CMAi5qCVcd5 N3y4OTyQKn0KK32PcA+TBvztuguxPj+z2JEAPXly0GWrnDrDQW63ZLmmF3Gu iBNwf/LkqGE/Zh6jiyulrkWAVEltzi8eIFDSqmvJ0dP0jKjii2DItm2Du6ia 5HSizl23mbED7p3t/KhK889iKdXMI3XQrvDXajxx1Ouv9/t4xowwapVrSGjn lIpqPSh7uMfMjTfPXe0S4ORGFHcuNFFhre4UhsSjh4zcb79ktaPrYzRjb9vd d2ggnTTJq5mJtMoFeBn40UcV0q4yV17p711xhQkFUuVnROv8xx91stx1tbka QUSBaLFd8nCg2jkHU2CUiluXv/6weVinnH/GILACcCe2N+2ho4ePxqNqJArU 0KyEFD9K211J8iAzaC0NSbyKR+zWLc7wArOA0liSAQju+h52VRT1xBhceErq Wlz5Haksd7mPpz7nxDqrvHpU7Bi+DtcIq5+s5b3DPVRq7tnpKzQhxJ+4Z+cr zh27BP8IqmCXLuaQcBvtCwGKZ9j+u5JpISITjC/Jfbs8ET+sbLLTtvH8YYWO n9d4KWffhFV9/s1/3APPVMsDVZwczKUQHfXe3KpHm5lm8czfJrlXSNW/f0KT 8wQjuVXudHrbvJ0mG/2Wp2zdOoxnVV7zBycTnQeXt8fPNrV39NZD3vxU8421 QWSUZmFUeS48OfKs4GzaIXwj0XREkNW/Q7Siym1V6EiePjjcI7pc5fWw4NOu djtIs/Dnn0akUmLffNMU/65gZvApBwU9HAyUGuDNoCcJi9i3BaminAhS+juJ Z2poyFF3HZlGmBHraFQlJ8+dG5G05zxp19TS0O0ljHrA8HavMqprJhHyXc65 dbRLZ7/1BnNDlKsuIIrjNk02FZJM4tCV56yqyaazT9zZ9dNOpHzHmRG/ml/v XmhmFIfq3j3NDAmrOnP2DRwQR9puO3//p5/MQYFUfi0QFynrHf5REayhdaD2 +QKfsIVWbv8d5iccSvn88F91UkFLNeOr8gZ5UMvDCXw0RZ6h+1cRICZmFtXo +ukEpiMLJzBui4iyls/PPxc+la163f6mP1mRpCvj+vOpSVXsJnaVM4PCqJQ0 UIVBYgrqRRwV3TUUIPlRXfomD+oa2G5VYu83qO0vO66D6VDcw2d9W8GqEPHy iGwfvghFbeml/b39AubYUTjomTkrrQ4IpAgx/E977GFC3LjKPPSQZ/7oo5V1 UOWc+dxr184U1/n5Oqz2nBTJ2VKiH0BNLa8weS57efEajhM6ZLnk5gdHPiUg qHamwMz9FDJOaSQBYLRfjEYTyqp7uqeeCgGLKoByuhrxlDDe77PXXs9VAfFT aGe0/Nf9fyMp2TWOslZPHJJTGFVh1iytAGQu3bDwW2/95pBPtwwW+5BXncXu CmfCU2IV8O33tjAtilYL7TOl6nG+a8a++cYEs80Umho5GVu2TPfIJOQeZu/+ 2W5CevK0/frFmSULmgknS63MjJXaWaVmMe42HO5rrJHNnTvD6ETJ9qBcxzfd dBuNBCsa0gkYWjQwzY+db87XZnUywGmx555b+OBRVZsLzAXQkeAdmnhGlZya Y00fRe7E+1ymdC/TKw6pnHKrAG0cnvJP8ye9C8mHJFsjjEqmUBQLYVTKSBmx y+5WJbYbeOEZRAKC9g03pBkkedCXD6VNg/RE/BH01OZCkWB/opwcEJ6MuCz7 laCLxWK/QIo5hmV89dWmuH7RM1hTYrZKvYElziDuLqzw2bPjqWTPOrpKUDuE 28irvlX04OBLsjIU54UFG9djyE689Gj38CGwKcTtr6kZJPN+y7cGfx5GVX4M ZeyhfsoJYvoTu3Tid827cVTt7GeeCUujmgp9NERCrBxpYdRvZmy5LVmj7qcw KgmqmIH8jwrTeqF55D/0Bjt34f00XhfBRYhSeFD4RhQi5of0Xzs/UlGoDqny oqLQKUhwjNGfe06it8rcc4/XKUmICfN4+KLmrM6iZjTOnvpd/v57FExdTBfs TU4y14rcI0LHK4oOXfwyIIKvmKok19NwrBkrFcIl7DT22fPC2f6aaDcxlRW/ 6v9LGBW30eA5q6yW4ey6/joj6lHzaNRKnNpMmmuLFsWmYcgXzYuuMviwycdi +W2aBAVb8OZxF12pB2UVkmTnzIbepve9JaaOowyVUVOnPW/PqqgyKiPIqp1R tdR8DBqUphgRROJJsIRFSvacr8aLU1dKjYyT8/XXJgQYdBCdEcqcqaIvNk0u dSLLrk9i3aRDxjpsq2tspCGlMA8dGmH83nxPM5YpDec3XPbb/n02STERYiwu fhpmhuOPb2e36om8sbCfX51+yKpr6J1EMbs9XvWUaLhGuQ01SYdk47ki08/M Z/eVmBacqltskaYFrYfMQrIID87gRgHATLZw7xNIcYZut53HVDNI3h277PLL pfRXuRAZ3/jwwyHS8zfTgjuS+w88oAPGVe3LcRsAJA0QOqr9xTAHDBaAO2C+ Nd9GDNWqo2PHYrPA1HXmOlZ3xz2n7ufaVPpRaXcIKT0RNKqOQfpR0UIhjooH fCUfuQxvs8KUiwUm4UFpD4OG6GKV1UmCvr3P1AOdOWf32f0lZoY2NlYlCOFD L+vw9118cTKAcd+xOaz9FQ1lAtHcu+uuRMdYHE4INdHJvWLhLjctsZxm2WWd I9lkR4bVsdRlHZAChvj28J5R1ZIzHI+Md8w7m2hULMIQKds8jEq/H1oGHjPp ZOROaJhPc0qaUFK+qVHpnM3idlERe37FUe+91486fnyc77lmLjXsPADpfeFZ eUEBtbl+vBBOVQsNKo4fcB+v9TJAV67Aj1ZZ2yZ8o/wjn36a3ECkxRAIwXiW u4iPcpoTt9fkjBvnXTb7758mh8qEffbxM1DJ5LAXD/Aaik6ErFkRDpgAI+n+ 0V1WlSan/SFTjnJMW/Q306jYGiFlw09OFd2QIHv4lAlNw4sfqnrO2niz6EkP Q+75/LC32IVYz2jqm2rIjz7yQHXuHOd7upnOm4RQPOgRuGFtZzppv5oZ3kKh Lh7Fg3xchtVTT/lhBw82heaE2C7JcXPmpDlR5w+cpW5O6uDkkydW4fHOnZX8 VBVjNEivGyuYCdTIUFGlE8DyTzYavQ5g0BfEueRDFrSr8qxKHlYaiLuZaG1a b65R8S5v6ZNAtgj36MAlqzkMScZp9K6HIflGZsJ1UbFaQpzcESPEWBjSKRHE KRZ6UJV+ue4VYVRZdu1oFGXFwIMltskHH/gvsObS1uFLOUlwANitUSgEgW8B Miujo/sbnzbHiN0u0r5cZJCooDVH4+RIOSBRo5LJIRDZ0Bu2kgujzWh4pmkD 5uz6nmf1xNl16Evvhd5xbnIkG8gm1UQ4fy/JNXPnFn6KqlyzSE3O+rX9b1sO futzDUnhMb4o9xayMWZMHBIFNnhJtqj9oJqcMCq1x7EiMoxKc2SnxXAa2cl5 qMTkUI7Hj9Zu1eSQ58Atq4XFySE8j4KNd0GToxrEHj0SnfQe0gZFh8qw+eZ+ BiqZHO2+ceOiaLA8u77ZobrYvzSiPmlhtMJEh+IOAQYSgiUattSIzz3nR+zT p/Axn2pNDOkuVDmFdq3odqQmOg+cvUP2DNVKLmpnHyKOSPxoaw/Yln+dF2o6 /YgNaBFPajFvqNEzEl7ky12DcbrZPVxiYrAj+fHBB+PE4A7XoXFkuKcsCKtc FYoEIXq8sZ8mhmAe8SZ2TR4xYr1iqt5UwcTIj9GzZ1yMA8wA/MZE+Kgk90zX I1JNC2p+oiyXunun4liFNcxAlYnuE6uMKXnOalW0oAcc+tm6TrqhgS0GET0u XEtge4dWPRzi39PKbpwZF4dlb3PcLligyWZqCNNyBLK3fY5/vTzFjTam9Ap3 wZGrzFVFmxJTwn8BL00J1odPBkhTwjmOU8GemCGWWuWcD5zt9iwqFCzX/unU KdFRpqFTppIpQfHzzsS4DqeYKcQmwAaMPHz1KCs3ISZNLPr7TWdu6XpqU18l blxyDsPdc0+hxLb7zf0kF+GD5nNr+eHkPztlxL2PqnWQe3sDb8OKwykte8iQ cK+G14fxdKwGO+QO7gUFfkzX0o7klK069f2MUkLXU/wh89Cji5gKsogsxpp4 Vjh+Gzv/xdHhHgnRVT6BuFC+yssv+4f697/TVMihuvvuaSoovEFX/vPP2lPh ZiJOgLbpQw/FRWwh0IssHjtxYhP3QoQ1PYu8RAL6I97r9hwpqa6w8n3zvnR7 52QKmpYm4DXzGmiMWm7uimffPvq+MBL+Ofx0nxw6fHe+iX4keL2k9LjyQh8E KJTWOMvMcgEeS95xj2n7uZfC+uFq6ITRbcTe2460D+WWxY3mxuKxRQDPordK qYD//HP/Te+8k4CnwAAjJeWMpFxIaxtGOsUfunVLdGQeex227B6IXQPY7Je7 V+vGKbBA3BP0IrJ+XbLdGp5TWodPHLZhY/aHc6j0Mr2i1evkemi5s20Y60fz I011WbG8OoPTv/AFSNW/jNlmg9k9tq/rAuFPmCfiMGQc8qht2oShq83D5mFy hPAW4I3zI9Ss0+9zVwAz/9IH67gWG71N76LtInAnzLnBBhH3G2/0ixvnpTKs 1A9p4kQl4FQ503699Txowp3IGTrx8ccnOuQWxwuu65srwJ0AHo+UrdWXzEso UNTWcRx4f1PNat/+/OO82fXrmNaXF5TU4NSNLliXhsEJZuR8qOFtypSrM328 UME1AFnFj0U+8aMXDjzTzKsq/mxz47LuzS4KfLl8UHKQsrG6mq4kF4P9HeeO u8RVEoaxyGMf3PLB1eD03Sv6HEZeTvF43OPeo+4ysK3qE88tzDG/RBLsPXv6 +aYJkjI/0HER+fgpjw33aEuArY2eKjpF/b/+ujLYWaI77FBrifYxfbCcwOvV g6YcQev3YmXPI68dmXjCuz7z//WPznUCOuJFDRDfMWxYbHj/mHmMxj44a0mf cA20Q09JKvFc4/rjO/hKv5nffB5j9Q6TUEgbXhtDIinN/dk6VHHSK1djMY+8 cgLtavb7R9Y109ZavnjSfe4v73Z39WfcmjIlmT2cqKx0MpaOC/fIVkKM46ZX Xgc1qvLtahrQZrm3665pGvClouFiJVYyDSRWhFQnv9T8K35ampZAN91K7Hf3 nnoAbIamwvQOJA2GWRrV4eKVzPzF6hOpigBmPUJ2DCOOMqPIgeMjePlPvWfU oxwnvrFTPdR/jcirWMzosw72JsO8eWleKEJY26cJ7BjmpZPphHedeSHdyTXg DGOSo0VzR1pU8/uXmsw52SxYYnH8UIucHwVe+/RJ8yPNpH37ND/yjnBSaH7a tPH38OuKjqYf+LWJgomO5SVPSCXzgyaFWJk1KyzturwBg/bWwEVtN9Icvc83 RqlHDTFooHa4FzjRd9jVYx5ySHwKq8r4x3388bBy6tIG26Vf2mHZHbwkhO6I vmrNveKS5vn0andTv5JZybVEtpqQD2Qcf3waXjJ99uxwz71flOa1mIc8Wner uN11zviL3cv6wneQk+A6olUvcC+XcknmtH52BYI87ltvLXLypCjgstLkPfKI vzd8eJoUdCTUk8MOS5NCb67VVvPIi06eHSZeixCbHV0KneuWCiZPBlv//hGG D82Hn4U34ZB2g2ZF8quDwefrLrbTK0Pft8rohcQWoSObzHWRdlDT4cBrahFt gh2ojFddFQ9BWp++a94liKhXrHXebsZOdOvnuODrfFS00TavD/nkCmuM4qch 5QRip1DQMX2qvdx/yZiO36pY0K+/hm+t7x7wenO9Xg5G1g6eNcxPXjoY8gkI 07JoaYZU1HGvQ6jnIg8WmzSfqFlgPXnyIqcc1zC3nn8+TTmag3dipyoIhuK4 ot5QU0lQ4KSTak85OKKN77tvolNQhb1eyZR/8YWWYUBlKV6yQKqY699qUXHv ErfaHOV8R7YZ8SzveqD33SpdBv60xmcDetBplXIYfk/pPpEovYeJVxC7ieGI j11baXYRlpmOAZfqcZS3C2QJvGKvHc2OQ1c3q+vNnuxEK5HXoZvSd5vN3Ip3 R7yx39RDMKuwdonLav0gml1bXQraqW3UV8lrNXJkEgAq73jnnZiHS6v9583z 2BTpLcoN8DPQbKX75jO3eseeNC8fOuVoUvZw4LJ+eB2BuHfeV3qSDzVDU3NX /BfEf+1Pi1ooxBq4RQxBCwWn5uGH114otF+CEyrXpFxQosZnrSwpTgj35MFA 2ItOGbJ4NSpZKPazYUdFhNhtZDba3QfY/lUG1Xg73RtpMY3eNm/H3qokNoU2 Y3HaUZJDls8e4ft4wSNvPaBT3kZmI0BkCegVORgFmErd6DDP250utBfNTK0a kFrDkiDvnV9pjkk1DVa2d2Au4d7qQH0bL+PaxeyiN15hWMAG34l54N4khcOD F+wOMAPi1xArYwLuvLNoVwI8rXjyNZo39/fkAKZOnDnBx3piuMdBi85gddio qCuzxa7QOJ/4jn0ZfJpPzgQ8TfxUyXxit3P/1ltDdGQx9zYV3jduN79zb9Oz H4ua92dRvs/7KCzKsaUpmfHoghdcEOW4c8Yi2+fPj1p67MR39dWJDh2uaVP3 U6SjNtp7NsuiSWng0UfXRlOd+cgJEpoS+Hi2haYKj1FxRMda8e0HEx1i9dhj /xbN2PwrlHnwk5wb0UDv2DGxnblmIttZi/ZIR0eZ3XevDQ/dYPieBQvKwkOw 2hsqCR5iMf7sS2yzAHHGp1q7qsy/mujatfOfJRtYljZ+Bu61bq2OtOXhYcxD D60Nj9z2U6cmtqUUffJJYptmCqwyq5tFOvhZ1RdhybSOL0A49dTiKe65RxEo fEAak0AhfuxNCVOocJRsUQbBlBGzRF7pwZSDok6ilolIRz8WP4+VgYI0D0Gl CIrarZnkH4iNVdu2TaAgR/1pkOiUtj1zZgJF5sBLL3lQFrFmSOBDeSHtQPDg IDjwwNrwWK0ixhnkPNPjkaIX+HWi3ncVTXR33+0fDx9JDo97oggKofJlfWm5 HLvRrdOqVXRWOTOf1WN1yMisYoVt2iQ6uR2t1hfpKOtF9I4ZUxYUmUh0aVIA laoq5t3KkcgsYhCnjl1PkdmUsJ/oZK4hj0SHjFl3Xf+9lawZ5pj71ryK8FDY zL3evaPqlDuJ4tp67DFP169fgoe+Rtx7770ED7InOOPKwaMiW+SC4JHVTy3N KeEeUh4HEcWicpOq6mD69AQP8gif4oUXJngQwz6BuzJ4VD88YECCB7HJNrdi M8JDF8PAYoSHmuSQqxnhwTfHePffn+hImfBGVfF0GXi6d/cffffdBA9dnOSK FTx68yhbSvCwszfe2I8nOpRjzFY6yMnTr+YuuA5vqwAeKqCCq0MBqpgRe8op MUDlRO5SvkVghBHHD/fOPjvR4Sy46KLadFoWXbuWhUd7mlwzwaMuCawUsY0J y+aytk+EJ6X1JzqpSeSzCR41OcIWqgQe5U+++GKCRyvaqr2RbfnFJk1KbOu7 Xnkl0SFBg2su0qEkhNfTOH9zVnZfGihwl64noBCvCu2eGu6hFbEW0GzkM5WO aaVGpMvzmASUtBLsg0qAUgGI1aQjULInhg1LAMjH2rNnAkDC988/Ex2SasMN awOFLhsMwrYlnqUUZLLwQpqq+0k5SRyYamkuKJRIRMGGINM7KmjpdFq4h5Gy 1lr+s6JTDignXBnIYp9N1jD960zKqHBrI7AdoVDnvDfeSFBgLYaod6SjhQYH kdWz4xRk598Ti1pRNZmLXTmhwoilwVK75ZbEu3R3MgrFuzIFMB1Fp1ze3r0T HQqsz3KuDCMMQa/Yx4Qhd+Ci/V14YUxsiElrVh+IvLPUg40R6bSshw5NdMqU 6Ns3WN+1s/7cQxbpLWOsQO00JR5qijp0MMXp4R6Ks59KZSZUuQQSr8okmKhn 0I4UTCwjJG6lMPFdPvEzwaQXfLz1VkzOcR5pP25acnRKDgp2hEmnwhdfJJjQ S0J3GReZyWrbS+85+lmIWQGVPG4JKLk4+/cPQNVB32ji/2XNFoEnNwatmW6v ABT2+yqr1AZFWsbEiQkUTv2DDqoNilqyzZiRQFFN7ZNPJjosDEA966zi2TJQ qGsMx5igkN2JXSEo5NN+6KG0ZlKWZ6KjhTJsWJsjeoNkM37zTWXwpDLPBA+F ReHtKREeugoFkRTZZv2HLjMRHk4llKBrr0108qG9/HJZeKSu8m4cwcOul8LT JNxDLfY2Y0x/jHanPWwinTyeVgOI8KjI2kqKiuBRTog9vJQW6txFeGGvuy6m j6q/GLpkhJEt7dsPJbrQTrLWalTX/j/+KAuPrEi7oyM8WImCQmyrGSqN5wSP pAC6pOiIHyBhzj8/wUOOhd8slcGjrhXffpvgyTpxRrYlXIcPT2xLCFgdINKx AUMRbqRjhW3hH7AcPMpmp8G04OF8aNGiNjwSdJztgidVB6gfn1e1fZgu0eE9 8Qu+NjzuiSIoKYUvgcKkYMNY8ywyKwX/yy8Ts0wAW92e3pEOUb2M73QZx+NE xpt2+eXFc2VA4VUL3Kb1sWohlF9qrb7ILMN5ozkxS5wdAFFkRCfLly0qOnR/ hHylawYPSTCdIjts8SB8I9v4sKF77rkED2vTK2uJTlt62rQ0nvZKp04enqrs lHLzoFURq3+DSw4r4cxwj+i1fF7yfZAH4xdoAkXRG/wcolPiFn6wlosGJTZw Zy7xe5lUshEnqnXrmH7unLNVTmwnZrXy27VLdPJu/PZbopNmaIEqtWYED6kp UogFjzwEw4YleAjoorFw+ohtzORTTvGfFR0K8pFH+nuyU1JUpTJ4GOP002vD I89ur16xosV9f0jXOkT3lNI0ZEiCR8r8hx8meJjWEH4pBw+rwjtgEzwpxTGx nZ8+YhubFcgsdKEtbJXLW2AL4WETnbLm0YUqgYf3LISDOMIDDMEpHOHJUlUi PBwf/sU8CR5KKfmeJ55IdMpGuv324vky8FBcIb+V4OErpCsLHk4f0jtw6oht CU5EuODRKdGrV6LTYQtklcCDrh7aZ0Z4MAV92DTBg16+wgq16TAzeM4LLkh0 qHvoOOeck+BR2dw335SFh4Sj+vVrw4NapZCC2MZX7w+9ZIXlTiLRaabQewQP /irpTJXAw5tflvevxFUBpnvFArRPPRUL/qL6arXhCI8UizffTHRAE0yESCfv xrx5ZeGRrwCZoupV0NbZ1DTck69g7NgED25kPktSkuhY2NKPRJfrTJXAo4zu OXMSPJlMiWy3b+/v/fJLYlvpI9bQiHRYaAuvRpwQR3gbqxw8WmQ//5zgSUGA xLactxiiYhv/udciEh33mBU2kujwyHp/RGXwyL63GnKEBzeUz3BMbKtrZMeO ie3M0Ih0rMbllqu9GhVifuSR4oUy8Eiqf/RRgkcVhmi+YhvZo1Q1sY07QmJd dApwMZ5UypRfbIo7KoBH6ma3brGg3ckUYLYyRdXN0e356KOJbdwZGBrXX5/o 7rzT002fnujkzvj997LwyHKljkTwKLJKcf3Z4V4ue8Q2jmDfuijBo1wmPLCi SzUElcGjXj5WV47waBrfeCOxjTPah1cS24o5demS6BRKsVBEOuytEBN08NRS BhXt5kgWKClVLYGCFFByrzRpOunwWbIszgn3cAMoHUd0OsN++y2C4m3j0i6m Um0HSt2LIKbSlASinnfChNg0wUmZ0BM80qndqJVuEUTtmY8+SnRIYQyTM84o XizxLHKLcY6cf76/pzYShFNlVApO5VZihQkmedRJVBOceRhMdKrVZHoCnIvs olK9KC96fHNAKCDhJzX9cIGu4EiL4FE1FTozRFBIDjjEqwARPPmnnnwy0Skd +cUXy4KHjuQ92wk8HmP//WuDp5cd4I4VKHnfIYGnaltOSdHpJWz89HfglWpy UlPL1MUXj8maA4VjOITBIqDQhBBavJdUl/RZJLPvCZLAU3h49Oiy4KH/qsmA wOO8kwNVoCDZBKg0sFztEJ30d8J0Ao/5R///G/AcUIt0jMaVhyYeGghEALKU jwiUmuhY3Snek4VglY14D50rTEa8B6chjaoceBgLCmSoeQ+Oc0jJNTs33GNr K7gh8FLTiwQehg7imvxSgYfGrWyJWlKw5Gn1t9Ivwpg88QlGfBfhhUARCp2S I0ake0jq0Ckg3kuTnMYjks94l15avFQGRjlzgUcw8koxSIl8C0b10yA/WzAi R3wHzERHJdvee/t7OpzyQ8e3UCx5wkZ4Mu0+ssOK8HsgsS1XnlVUIh2nLrrY aael7cgBEtLXI536Wr3/fll4lN5J+qrgkRPMHvqRbRkfdK0TPGQ5+ryFREdl iW+VneBRfi82ZCXwZNp9FOFy3N5zT2Jb43bokNhWvOf55xNdWgKJ7tprvUSc OrUsPNr7iHDBk/zPiW1VWhCoLWUknRfuySDBdBad0k9IGqwEHn3/yJEJHumM P/6Y2E6OxsT2PfdouhNdSp1JdBxxu/kMDAePexSBQmd5b2AmUG64QQIxMcuO VXKbxH9uGokutURNoLRu7e9NmFAZKAnEBApKTnDcRsUTvwGSyGTqAQ7EIJAj KMqMyMfDgVjl1mfxcpk1oy6TJPUKHs4Ab38ntuV3oJpG8Kh8GA/V+eEeej6s 5DCiIvqkj8rgUYKLtfQiOzxPSDuK8OCjOMYnrkXrLxO0kS5LwY7jpSKtsvAg wFTnIHiSIpfgkWuFlCWxjeDk3gcfJHjSC6kTXS64K4FHCmK7doltuZDbtk3G MQI69DWPdHJTv/degkdLoE2bBA/PjoU5d25JeJSmzKxottVfMRkJf900hAzE NoFDhCTvUxE8GKfcI7omOtJPpNRWAk+WfhzZVnymX78ED6pEOLojHR3Gme4p UxI8ctZZdTTCg2/iMK+5lYMHt6pX0NQ+2wta5fk1C/c4Xs8809NplTVtqred JXjUeIM2JoIHOSbveBl44jt1kDE+2pL8kcRmvU6f4GF6MJLsuRbhQT3eZZfa dGjlQWmM4yn+bO3J9mXgyf2MgkcxC8Sr4GGDeJGX4Eme6ASPXjFjFf5Ip8wV XsF3VwXwZDIlerMz0zW6azOvVWQbdwsi1xofkQ4PVUi7jXSZ7l0OHpxoSy5Z G57U2SzBoyg+ngWxndhIdCxa3dNmVXIZRkol8CD7QowjwiMXzAsvJLYzr1Vk O3O3RLosPyvSZTp1OXgUtiPTU/DIe4OjRGxLLyU5VmxjJqLtsAkvCPfYBIrX iu7VV/1nyT3K4XFPFEEJZdy1QJHpbI2FyGwW143MKq47e3aiI2ukUaPa46nB zqmnFq/EJxAUimTxanZBYdV7d48ovqBInYESi9qrtJQVFPKEo8+su9A9vOOV rBQY891vExOkpYUWSpHZlHiRQEHk+wTxRCdAJ01K48nh8+yzHpRFrBRZF6TP Cx6semUViW0sFd+bJ9HJl8ghLjr5nhhP8KTs8srgSa3GUiBaoaILL0wB6yyu G+nUutaaFzH4+Mor/t6vvyZ45JUYPrwsPCqefvHFxDbiVRE3sY0hqdYookth 4kQnbyI5A4KHeIlC4ZXAI/Fqt09kW7LvjTcSPLj2gkcy0mV5IRGezCMZ4ckC l+XgSSmpiW2qW3yMIbHNruU+sRDRpdQCU1wY7nGo+1B0ogNqleBVAo8U/h49 Etvyak6Y4OGpg6SOzKJe4M2y5kUEJSu8+8savOCC4tUST6AKLXRDb5nEl/C4 s0plHQJFKVmEB/Ktp0CSQEEyKGQgOqSHzwGvDBSFDuwcR3Y4q0I6flwznC/e JZzoMvMiwoMiiToR69iqaoUWysGDkNNRq1ctgCzzc/PNiW05AGgkLbZZljIH RKcqGjzWglsvs0LbubsCeJQOY4XlnrqX0nZSsp3q7EyWvJeZF5EOpTV0Mot0 UkXsGiwHT+5qFTz5OSS2mQFZX4KHyKePdCY6hTV5XYTgkVZiLbOK4NE2b906 saPK9w8/TGxLqI4bl+iy+pdIlxWmRTrigyEs8AJ/LtLFK6CS2zsBpWXOiXRR uMfW8fUACQBcqorDCijVIdA7Q3QyXfHylAEqvu4T6zp059lD95QZNH16AkB1 Ez/9lABgiwU3fqTLitXieLiOGe/qq4N99Zf3EdTkPh6ZbbhNBVMe6hZMwCmb SnRK+SbRSnQ4yGCTGjzBJB8PRWaVwERkw5vGiS3mPtReRvbTyxATHQaHby6W 8qazsHaky3KuS/kFS3m9tbLyEjRBwStLuUcU46KF7hECEl1yZZqiebiHkJXw F50SAPmpEshC1QA/xWoEubFuuSVBocDPk08mKOTmyytsspK2SMfKRbrNmBFW VukQaoNAn5eiiS2GWGwxTyuYpGLSc0N0HTv6e7xHTzARJ1EoU3QcFMrwrwQm pEo40yJMWW1UZD8dOIl9dSgYPTrRKZgwcGCiQ6AEs9WFff5WUuUJeWKMuLlX sBJQUg4feCDRSXzi1hdQ8v1igoguz56tBKgscz8ChUIRwtWxCgZj0weWEh3r cBOf2xGBUkeLzz5LdJgvvlFC8VoZeCxr0QEmdvAh+tdvJLYx8Zo29ffWDPfy ElrRyROEUavx8ODIi5TD454ogkIsoW7d2sxm2bMRFLIZw71Y3IhzlZV/8cWJ Lkv1i+PJGPnuu7KgIOZ8ekpiIvQArAVKbngIlPT+i0Qn85Y8WtHlL4m4p4I1 o+PdajCRbU1eq1apVhOXWwgaRjrls7z7boIHTwOb8KabEjxoTSjL8+aVhKd+ iflcI9xLaSymuDjcI4qFys7pJ7ZZVz4kkuj4ymbNao8nyCiGqQQe2VZ9+ya2 de/HHxM8ybxOdERdEOWTJye6lBaU6FK+b1l4UvQ7saMO8yRXiW0lPCGGBQ+u MCXZOLo67Eb9Vtlv779fGSipsCIxkdlbkVm5ZGbOTHRZBlukQ7iHrJBYL5xl sL1eBpTcpSpQUopUAkX2NT1CxDYaj9LaRcd6kQ9S4yXFrjJ4MrdXZJut61NW E9sqse7fP7GNkYPsu+66VEUONOH8i3RZBpuDxz2KQMkdqWJCYWOa9IlZdA1k OSV0opN6iDPjknBPYWi7eSJdMgsqAyULukQm5Kt+7LHEbLa2Il2W4xHpsu51 kY4k/JC3Vm7NyLOHk0LsJJ0gsc2+VGBHL8/V3GLAik6+FgwUjSe1i58qgQex 7V9LnNjJCiwj2ypdaN8+0WW5G5Euq1KLXS2UnHD66cUbZeBJIi+xkxfiiW3s GJ+Wm+BJDZYTXWrJm8ZDFqmjZxl4ltej89ihADOyk2UpRrbV7qllywQPp1bI 3Yh06XWAaTyJjeefLwtPXvgidthwCviKbeUwEEAWPCrZxAi5NNxDGVOJteg4 yaQpVQJPFsSJ/aA0202axK6RTkCHLgORjo3p37KReqJk8foIj+zBESPKwpN3 ZhM8CD4p/IJHkQsiDWJbkHGwCx5g2Hnn2vDkOlMl8DBGMEMj29lsR3iSFyvR yeFroYjwpIYUCR5UR38QlYVHyUjkiAkeZltJS4Inz8oR27kKKHg4r7Ty9DZu 6UwWzvAWuPLwZDGpyLbM4OHDEzzYRyGhM9JhRvhinASPskishhzpsM1wFl90 UfFmiWeR+Zm39xLbue4ieEiX88keiY7H88HaBI/KDng1jOBJJ1Fl8LBhQjVh ZIcjOUAW4Tn11JjnFelwioQ6/AhPegN9olNVyDvvlIUnlfUntkEVV3zONo8h yMR2KqRNdPL3WUU+0smwtTKgIng4iLlvtdzYHy5zqqvDYqxBMlkfOXW0tEpB pMv6f0W6rPzcwVOVuyxS2kdiQhEj5viycC+9eSTRpc7bCRSlmxCRF11KOKoN inuQCAVi3OtY6dGlHLz5ZmIxez9EpJNC16dPosMpEYpcIh0rPFSklVspyRWQ mFAHK8tMBCUvxFs13Ev1pokOmRJWWhwvP80qWSkKI371VcmZjWzLQdu7d6LL DvtIR2ZY8C7HXsHSn//97+KtMvDkCXFiR87F775LbCubb8iQBE/2wpGiRbiH 89s7DxKdHA9AWwk8ynl/442Ssx3ZVljwo48S20wP5qc97NXRMu/sFukyTboc PPnbkgWPNGQ62wievEpebCv9gH4KggctWh0VRZdnUFcCj5wS9lSJ7JDXH6yl yHYW5It0WcZGpEs+9ESXadLl4MlzQgVPsnUTPNkbUCLbKY8mwaNIJqkLossd GpXAk8pyEjtZY4HINi4t7t1+e6LL8k4j3cMPm3ByJrosC7ocPFrIZKAKHnw2 ynkX28Q7VfqySriXv0RddIpsELARPLlSUAaeFfTofHfILI2941E0kGl2ttUO 1B30IVss0mWu0QhP9qb7SMcKDVnQb5eBRxb2vfcmeHLPsdhm76t2QvAg1hXQ EZ1URaqABI/vdFA5PFlaQWQnc5JGeLD3gj4TX3+QOUkjnTxKnTql8bIs6FLw LBbocq9MvhlUayi2gULtngVPOhESXa4qii41ozNF6wrgyQpPIttZswG1sswz UCOdGnFaYyHCk2W0RniyRhYOHvcoAoX5UZsAgUIGlqqgxaxcG+STitnUD9oU l4d7eQ+vlcO9/FyrBBQ0k9BLKzKrtuc//ZRASQ1DE50qdKzSGEGRXnzLLQmU rH1FuTWT28uCB+micLDgkUDENbpKRqesC8GDeq/sDMGTOrdUBg/rMxy/kW1M BCIe9syJ8GTnUKTDQeqN3kSX6cXxLS3yBj35ZPFOGXhy6SK20zmQ2JbtTrRc bMujQvXMFeGeAoIEaESXioUqgyczByI7aDFs6ZNPjm1So5Jpz6FIp7zTm25K dGSQhDaukU5vlB8ypCw8eXxT8KQdmuAhtKFYhNjO3R2CR0c8r3AUXa5wBnj8 w/6lZbl+LrKAf2kI5ZGZMiWxnDVZjNBkvQMjnVSYL79MdBhIoZdQpMsK08tB KHcB0UtBqFRbogqChmNUydsrhXuplWaik9VE2q8gRI7IpAkQ/vNCzOhwTb2z ErNZ48UISnaSRbqsBDjSNW0a/dHxXVgqW2/WrHi3DHh55obAS3OWQOHg9dmk Cbz8daGiy1t7Cbw8ffzvwFvky8DjykumUgIFmRmSgiMo2TkX6XCbhFaekS7z VkfwssyzcuDl2UECL8mMBIp8iyiWAo/sLeho9HlluJe3jRNd3ia98pXnfiqV QhBhzOp+aq2Z0KXxZN1TYp49GSOdnGz33ZfoJINHjkx0WVl7ORiVjUbXd8GY ZxkJRmVeU4gpeNgOSg4VjHl3CNFx0sq5V0sG1n6ktAbLgiff0TPPJGZlj779 duxm685NHwWOXW9j5M2qKRG8VA+exsvM73Lg5ZmOAi9vky7w8i66AoV15Y2L BB5OVd9WxxQrhnuosXyWBsX+rfTlz1cVI7dqldhRQHrSpAQPak4IPkd4MjUl wpO9pzHSZc6W97jnHqVh+G1KMklSCEtKrjqBondJ4BEXKNCo5Fyg5DWHAkUB RCvMy4EicmcWXXFFbWazgHQEJfMsRTr4Cf2PIihyMz76aKKTi+WLLzwoCz2L 4Em5XwkegrxqtCO2OfGUFLFidk8hI9Ep+Yr4rui0HegZUQk8JAX770pvwMxa qqjZb+5ZinQqQbaKR4Qx5bskeLK+fuXgYVuoBErwlGKbuIkya7X28xSYqxZa KbRyEb8ySJFllcDD9IQiuMh2VuMT4ck0+kiXqRaRLvGT6LJKkHLw5BF+wRNC PrXgIWYqOsGTp8AIHiDz75FK/OZNXSqBJzN+IzvKPps9O7GdeZYiXVaaEOnY IeFN8PHVuJnR3bEMPDKDqRCTTJFXm0Q8sS0DAQ+24NGhTNvqq8M93B5+5hNd SkCoDB78neGdPZHtTBeKbEvz69UrsZ3FU9T+OE/IinRZh79y8CjCnx/iypSm 64LgycNDYjs5vhI8BBBlX4ouJa1UBg8hLFjM2cl0nMi20oc/+CDRZapipGPl h/ThSJeda+Xgyd8nJ3hSKmSCJw8UiW2tKFRPwSPbj0wA0RGI0oqqBJ4slSqy IxPm558T2yo8fuqpRJepgJFOr2m2YjjSZSecd7aUThVePNBLpFplKsKk+kH6 VAsmrHokvj14I/vkz3vrP8GkVYkZJDq0cbmIK4FJDciGD09sZW+tiOzL+3Hb bYku62EU6RT0GDw49pXOO/05L7hL1U8d4eXmzR0sgkeBP97ILLbzcm9581Mo OdHpa6laE52UQr7jvgweh04EJeV0Jyayd1U00b3M9632xrE30bXXxibaWSpZ Gi873xYKDSzSNGoUPpvqatJEcoT6pN0EAAJPmrIAyKMkolPHV7Rx0eWerRyo Ra2jrLQqsij/6LPPJsiyPvsRMjkKP/88QZZ1bYvjZWee2251/g4ofDMqetGT 5nFeASD9A3kjAPDhKPp/TbhHRE5OZflFlN1EqWclQCX/V2Isyx2JQOE933HH 2kBl0bYIVGrPkegyk9hbYaXlkt5ong7G9JzJtfVXecMpKJjyfADBxKPLaBFM eQFyJTBl3V4iTDxTyBiKMFFAE+qFIvtZ1C3ChGbtX2WS6LIXF3Qqs4pQyZQx pOfLV5bgyY1Vsa1UPpJDrw33chVTdHkwtAw8EouZ6hqbZLttHDKGztA99QrK 6bKm8ZEOyRYKHCKdOota47ccPKpgRXUsZW8JHs0oWY1iW85X6oQEj0Q+9USi y2uxK4GHg7lp09rsKPf+nXcS2+m7Ep1WeY8eiY6oTTBkIl1mBpeDR+lwv/+e 4Al9y9xP2jSoWRLqKjnMU5AFjzyJdLMSPKlArjJ4cP0HF0ZkJwswRbazvJJI l6WtR7qsp77adOdm8Adl4NEe/OSTpMPIHYvh4dh27+kQs3LgkmEiUJTCQPBB dKm8sjJQUslpYjYLK0VmlU3y8ceJDr9VKA6OdFk4K4KSGb8OFPcogkL+OZIf BIXiVWRPi1kWtuworZTUYyzRpVcdJ1Dy5pmVgJLSjhMTKri76abYajv3LUY6 dQ14/PFEl1n6kQ75ityyJm+5laLy2z33TPCoqM4aG5Ft5WYQ0RU8qe22Kf4d 7mGiqqJerYFyFfT+CuAhScOL8sSONo1V9iLbyReZ6GTVDxqU6GQMWXkU6Qhg BJO3FDwyLngMBbd1OEv2cGALHi1BkrYET37YCx7GUh8qwZMbMJXAk7WwiOxw yoTSJnUYz5JYY4dxZw4HZS/Ck8mjSJeZvB+WgSf3HgqePAYneKyYjkaD4EE3 UkG54FHJHRtO8ORmcCXwKFdu1KgEDx7FUPYS4cmyrNVL2q0o/yq1RKcYoJVM EZ7sBY3l4Mmd6oInNzkFD5qlfzFNgofZVD6A4JGnkFNP8ORlEpXAk0VhIztq dfnEE7FHtPNohuZ+ER45Yj74IMGTfN9pPOQb6UFWHpWDB+/hEkvUhidpnont 3GhQ72R1YUDvuS7ck8uMlGHBk3cryuFxTxRB0Rx/8kliQqbk0KEJlJTBkEBB WoV3TUVQMskU6fBtEno644ziozKgKL4weXICJc8nEigcwtJOBEr+Kh2BIqDu vDOBwrryPYIqWzPJKZfgQTsJPYUiPJngjmxnvsVIlyJwsf94dKh16FAWntRv J8GDTqIzR/ComwaSRPCoeBfF7/pwD12ClKccxtxyqwQepXE98MBfJckll8Tu z3ldfGQ7qSeJLsV5E51iZuPHl4UnvR8lwZOskASPEqQwHMW2wrakhAoe1Ddv Lye63EorA4/iAYqB1GJHOdidOiW25TQbNizRqeSvf/9El54p0WEYh5oQB09V 7iFMnb2TyqaYEMEZbZW8gE7MXn99SpgRKDinlEQqutzQqAQU6EMBbmQCi5+j wUqSyKzCwd9/n+jY+sGFH+mQm+HdHerb7Kpy/Vtrio/LrBnyibzmmeBRQS8d ywSPfCIU+Yptto7EteBRiwvaCqjheOrpY4oHKoAnS/DcOL8Xsh8j21mL0ci2 XmLfvHlsa51X30c6lX5Zk7QUPPLj5Fa3DmflutLkRmwj+NSzXGznLUtFpzwj XFuiS4p+ZfBwOIflHtnJ3qkd2da4l12W6LT1OnZMdClckOjIw8WwsSZpOXjY eT48luDJ33gntjH6fGeLxDbppMqeFl3+8nHR5d7ASuDJWl1HduRCtypbZFvH 9AEHJDo2YTjOI50qr3v1im2tnQAJdY2flIEnVwEFT+61E9vsX2/XJrbTGw5M cUO4h76k5BW9vVfaKEXDlcCTmYuRbbJbfUZ3bFedNwmIbHPkBy9ghCeLhUU6 5au99FJZeMiwbtiwNjzqOEjHQ8EjNQ6tSGxLHiGjbgz38rcuiI70KsQg6VWV wJOiI7VnOyhv6q2btwtQQ+p41FhVIMKYxcLieNhw4TgvB49EKQUwgkcL1GSb Jk8oFtt5ZxjBQ/BX2UCiy133lcAjsdm3b2JHTtr27RM8WbucCI+O899/T/Bk FSNuvDrkOn1aBhSpcVT2CJQU1U6gKCaAXS1m83xGgYKXmLMJV6vokFTK56gE FAnVr7+uPcesu3HjEihsp/CmsggK51pI2Yx0SJaQLaaGwy5zoMqNWzh4qvJo g3y+uLQESt7uTaDkycNiNt9cAkUV9DRgEl3+gsFKQFFvqLfeSqBwaoXsjMis Wh7PnZuYJd+be5tsEtsMZ69ZSXRajd9+W5RbM3KT021M8ORVrDdk9+SUaBzu cYj7lIAEjywtHBqiI5apVv4PZvC4J4qg6Hxr1y6tgMyrG5mVG2PEiMSszsHX Xkt0WY5YpKPNZTi6S4GiB0ZJUjNJmYZp4SVQ8rwKfZYFqx5jAkVuDHRq0eUV sDkoi1ozOpLvuCPBo03btWtiO0uTjGxLf546NdFlOWLq0eyEOfCcfHLxWRl4 8l7O0ndT0XRim4gObONi0Gfx8emtFzeFe7kbQ+syvVytLDzK5syqrBPbekWf 3T6R7SxNMtIhZ8LRHekwb4IqEOHRtrVHdzl48PvJKSF4pIOS0yV4NFOW1ch2 vlVuDvew4OUaFV16NV9l8KD0hdeNRrYxT4LUiGxnCZORbR3drVvHvs1ZaXGi k1i3unI5eJgVZSMLnjQrCR75VqjcENvpnXIJHrKYJaRFp/gmK68SeLJUtsiO vr9t28R2Mo4TneSRPbojXeZLjHQI+JCrXA6evE224FHGAk70hWUKrlGxnTdj FzzqNpWvsjw1rhJ4UOZCwC2yo84NgwfH3rpOTw4Jk+qz7HxGwf6O8KTKk0Sn Q9xC+3kZePKG6oInD9HdFO4ho+T6WrzEZwVPqVWWciEqgydLCojwZNUWER5W WSjYXEf3shKUSJdVZUR4VIPSrZuHxz2KQNG85/4ZdQQiO1SgkEyi96gsvhAd 602g5O1GBUrenqISULKuvZEJHBAI6ubNYwNYp1SEl6FHUHScWyEdQcmqD+N4 OFkwPubNK7tm8rfmCJ68I5DgadXK09FuVPDkW+WWcC9vLSq61Ba9MnjkzbZH cmRHDpCOHRM8WZfVCI8iJfazkS6rPlSDWHeYsCXtcf5FGXjyF4AIHmJCKmUS PFLlSbEU2/lWETycM7KbFE3NTdKHKoAna70W4VFF4rRpie3Mcxzh4Tj37XoS HQGB0KkjwqMy+GefLQmPlPv89TFyQCDL5bMRPGKRNILFs8/KMBA8ChizygSP FjyFAJXAo3jTN98keDACFmY766Qa2c5StNUD1UmloCtHOr36xh7n5eDhK9XV J3dfCTLJFDZR06b+nhJ5sXClF98a7uWvlBE8svapXa0EnvSKrbQqUB1CGlJk O+tlF9lWcejPPye6VNWf6FgCobq6HDycDXIsCJ68gl7wsJGUji14lFFqz60I T/7GDMGjt8bxU4DnP61djRCqm8fjjycIBU3v3gmaFFlL0GAbhCM/0inH2lpe 6qzqrDt0bGvddS4DoRLDqAzUPRUl0aNBGwtIgZaIhCCUImZXRHFbuJe3tRAd YRvBHyD857WrMe7FWQXFrbcm8FAIQmwigpI6TSRQ+CxGy7nnxjay0Ts0enSi U3KCtf2cF3qRBXmCTFEktCTdy9+0IRjzCkLBI6UUT5Bg5E0GcuGLjn4x8luX gbHUY1aVuKdWAVmvgAQACTqcui1axH6ZbhcEK3BN3VMi3ltvJUCzjOs4njql WWXC+wZKZ7HqhNRpSO2F4MyzywSnZBGWn2BCDuqEFJyEnlEEKeZU3aIype0O KB7+D1blouBMRnhiXzulc+cEJzpfoItwZr6ECGcqyUl0aBXIzOOO83Cm7Oma 3D2nQEwpXyT9ZASj/FSkYwnGvIZVMEpG4fIXjJJRlM4EGBdZ1/pPViU7wHe1 SDCi/JCvaFdRhDE1vkvwIAqCLRBhlJ765JOJTn6QRYQLSj2fYNSrh+lmrXsp 4ysdKRxPam8oyPI3DwlazbKdnkiXt6MP0JY6mSNkqdNkYlH5H02axPaBDkbf kCp2YYye3CeeSNBK0lqrII6HesyxMmmSh6yqxB5xP+k8xjkidUVKcXrlVQIK NcC/eDY1C1KKAxnXt4d7uOr0lhABlbuSKwEKcRD6VUfGpCVatSYClZqYJaCo HcIRY4+LSMeEhtqRSMdEBL9XlzLw5K0JBE/eH1bwSEsjTULw5H0iWoZ7nLPq ky06NCmFuyqBRwmoc+cmeFSuYCVTZDurZYxs8/0hyzbSpZy72Lcx5ua1aVN8 WQYeVAkliwse2kJJMgkeBf7o7ie28/Z1LbPxCJlzEIiOw0IJpZXAk72UNsLD Kg/vf4lsK5jRo0dim/75oUuWOi5mrwBKdLIPRo4sC49KPVn4gidvDiZ48hds i20ptkAhePI3TYsO+CWtKoEnexNMXBXKXLDCN7KdnWuRbUnQvn0THdkN4dVy kY4dE+I55eBJEfQET3qhTRK+DKUVpV61nH8KYwme/E3TotMbEQg1PFIBPNKY Pv00wSPnrl1RkW15Y9u2TWxz1oWimUiX1Uauln82vKaiaxl4Us/F5InKi1wk clkp1AZhI+htDvJiUdd4R3bPp8AkeJSiTIy4EngkF9q3T/DgHQ3Z/JHtVOae 2ObZQ0cGNSGMDoGvv050egPJb795eNyjCBSZDa1aJVCUmo5nXKDk7wAWKPn6 uDPcw/OtRuGiU3E5Gn8loKiI4sEH01rAVg2dq9Xgy4WcQguD+FlZHN27J1Dk i3v44QQKB1FIMi21ZqSZo34pUidHjI5fXncieKRukbYltpVITFxF8MhVN3p0 ostfm1wJPLjiwlqI8GQx/wgPUiMcyfGzmNMcAPaIj/AoMfnFFxMdywIJetVV xVdl4EmxjgSPPOgDBiRJwkwpw1+vHlQ3WkxswSNnPilfggfFXw3Ac3jcE8X5 zKrA4j0Ug+A3j6CkVKHknyAMHmoOI51aqtj1FkFRoOybb8qCgpPOv4IvgZLK CRIonDJY5wAgUNAl5AETKOjevjgu0cmtj+umzaLXTIQCn2Uom4rsSH5cc03s epb1mkjwKLb48ceJDuM2NJePdLxjluq1+fPLwqPmTLAteNBTpA0LHkVYyCLR u9Bw+od2l+EtQN7doobzotPWo+F8JfCwUkI8LcKj7F0rSSLbKdG9dsQGyObM SXSZChiD7jw7Rvm55xZfl4FHRidqnOChfk9vTRQ8akBKyrnYTu0nEzwpwz7R ATcrj55+lcBDiXp4qWSEB/aw9qwkiWwLdqvP1GIbeM48M3YBcv6r4O+MdOpp 06lTWXjyLEXBk5fL6XBOucqxL5eLw/t39CR4dABz1gke4m9qXFcJPHo5ar4Z 8CiF1PTIdnr2xLY6CH3wQaLL4jS1si1RTe0qKwePWnvhIRI8eeGc4JFZx6oQ PCj1UgHvCfc4IlUPHczeGObk/Hu0Anh0/FpbKsIjdaJz58R2Vl4e2UbwcwZb tiNdej9J8pLyqgVE+HnnFd9wryp3r+E+UghSfu68xZYErV4iiiNYzOpEsks2 NNf1SRTco45VdNJpSSKsBBRtlX79EigcHEzWvHmJ2SxVJzIrSdK0aez9k6W7 JjqVcViQvynxLMpGQlhp+8gdlre6vCvcIzbny2fj2xdjVlnqle+NUyQTr6QQ HToLaV/2bCseqwAeRVO6dElrgTkmRczOsdqNuOcJ74qJ9fdqd/nRRwketXSx ZkiEh2lEgtnzqhw8eWKW4MmLNz089ZyayL3Wrf0AzBySZN991c6knhN87Gyk A/+pMwtbqRJYpHF36JBgyWY5wsJhEbJmIyySIHPnJlhSVWSiQy1A9bv88qJb GVhUdE3tj2BRpBXVT7Dgd+Z4xgOH41V9GCmeESxsMlZM06YeNrQIVARSbiqB JasNirBksxthQdMOyl+t3nkI72bNEh0bLLwcOcKic/mHH8rCUirikQLLOndq nC8WFpFL/M7u/VDSUuOcjtzDNc7mwsvTdtEwRCMgBN5rzTrQcP/KK2M3gywf PMEg3dZuuEiXym0SHX6DUJFWDgb1VCHlTjCkY03nS7Xz6eFD46i2avj94Tbm LkoPR481qR+vgHmChOGVtJF5+Vd6905MZXXKkSmsJLaqXSuRLhVgpb771OoH R8O3ZZjPu4+J+bzPgfvzkwp4Sq0RE08g5Q3s9KxZnmatZw11SerTkL+NONLp 4Bo2rCRPyuPFJaXCG/mh8wa/f+HJDRM5gSxk5kTUZXe2apWeMOudE59Quop9 wkiH+9mn3KQuvxzzBA3326/4rgwnqDgLu4xZb0pbcb/5tILZIUXGGy2JJ7YW A9nVFZ81+ZhqPysr1j6r6pOzppeJTuph+/aeJ/coeT6+6sLEiQzDJ574B5xk HvBa75jguDjuuFjP6E7f8GKF+GpxPeEbbyROdAJbWRk5QWjwHZMnl50d1aXQ NUs8pcP7H/Akr9fo0YknCblPPkk8pZZciSf2PV4Si0fkKb1yPdFxniHAd9ml 6F6GJwW2iIyLJ3lJeMNKxTxlL6KIPOEkZdVb2RV5yuwrySRXIBPe1RrpVLZ8 992JJ2nrvXqV5UnubM4t8aQyThynFfOUejqntYJaEuSs6iKd8Alv5oo8cdjx hSNGJLrksYv6v9ttbJQ99yy+L/Es+t7gzHU/yaGL6au32VTMU/ba4MgTrWg5 8EeNSs+qeMaUKelZ0T3Yd0cdFctJ3AkZAryRTnvsrbfK8oTSroBs7uvXy0Yq 5kkR4BtuSGsFNRbb/vjj07OqK6A9c+OzypXy2WeJLmUFJjoeCqlo9105noid Ko9SPKFYqP7673haQ9+X5RjHNcU8QdutW3rWLNHfnznV3guLmk2AYsGCSJre LxBd7PHj9qD7oQxbEn20k5TzU2ER/HyO+rMK2AKLkDMVoVVJ0uKLx4qT/GCK zypV4rnnEp2cy8OHJzqmj6m3S9fx5B5FnGhP83YRcSKLDpOpYk7IbAiVXJET Be0eeSTmrztVIJiByk5w5zw71y6myIk8MNYMjHRkdCAYr7++6FFmdnASs/7J nxFPylunpWzFPGWCLKJJ6gE25uabxxTQbOfGYF4ML7Vrl3jXEmnTJvGEcw4H 3/jxJXnS4cHZp8ak8iyjpfvH+wc8ZYIs8qQKTyvYI08MHoKbPtjkDUj3IBiJ c+dGUhwcwcOsuFRcV3feWfQswxYJH3pxktgiv0aO9b+w5YaJzMig/uWXBChb BVSsvnaz7qkHz7hx6QkRQd7uSXT/p7yz15HiCALwemd21jacnGCEE8PFtiM/ gl+BlAiJzIiXQCLBxA4g4x0g8Z0OCUFiB+gsuGQDMkRwQiCBBHOer7qraqfd MzuzuyBkn8RdM9NVXVXdXV0/3T1Y8fFI/Y4yzYqEh0Fi5M2bPmY0fssYU2aW 978O7iO9teL+fWeLVCcR0UZZG7l6QOTgwCKIYlWyIJ87Z5uoxPqMWsbq6e0W d+9O/urhSc8YEKfWoKsarmTQpPYfA3jScOft2z5HCCYUMtacVj2me+mS08rA R1Pv73s9Qovw+fp1DBSWYTFnLjEX67qPLd120PjvxtZy3nQwW/6NAZ8mRL/Y 60BM49Uro5iBhFlx8aKFNu2Lfrdu2Y4Is0EfPYouabhuQwYmsYDFIrfiTjPP 1NfB8NRMr4aQdVs9aa5V3F5Q0vx2GO8cdnTQiXt7tmtBFDrT+EQ90FLOD4jI OUJR18atL5vmgIvuiWMlYZW/1Eg+G8NgCEeLnUHa13j4YAYhLprj1kfkDKjb mLiaQ7bv0dd1NKnLcLCA0Yekj4+tKroo3hqg1rcofVBevRqW5JWf1dBpyBWW RXzG0GNWNI5sANgbwKDfMeWDi3PR1CUmU9dGuIYInzyJplsZgrMsrTjTz59r gmv5u7thwQ2fJ5Ht36BA+bx7lzWpih6ufYugc61GK2cGB3Pt9wbEPpgFi5iT TTxnUXv/3hJ2MigZT9evR0U+C6lnJER9vOujI0vRWJ6jEZXV52AI3irPWQEa /H9aX+e41rgRUWzmObe0alCeCRXsuhFc6zLS+B2hV6pgXJLQwGeGQ9Kkda1p FRn78S6hUhlh4rKMgYqh8uKFpWHs7r/Ll70+jBMIwjViwt+8OTnsZHcurmiY XuEFFOIBNhZ7qLw/gFVCILj3165FdV6FDTsEflBOwGC1PX4corqn/D4zbHm8 ayxEYlV4CTzHLMFGaKb4DYVBhYOG/BtfEWWc4OljxiBN4FDTh4eTv3tYZvVh cUDaTBPdj8deilUs70YcMucYJkRP2FCIkicasrs7EUomMQoEnx8+WJpQxjGG eqgRfuNmclDg7VtLDUm3B9E5PjQHHu6dO5OnGdq+i6JXJ1LtDnZ20K1LrIkp K9DJwiUaPndGxfZaaxjLCCuDlsDPYaIvFr/pUGSbOaqaUc5mhocPLXIv6pq1 jL0Q8NrwftTJ00z6iZnJK1bxBw9iX4U9tNmt5TnWclo+HKEpg5FEdh03lDPZ +jM3aWnSBHI4jW1kHKxBRnLU4YcMrPxeLPVZbqnqZMxx/7QC9yY784e3kptQ /wfok8zPr5/Vq1/4U05+v/LzV1aKnU2JfxcyVQTF8WrYs12w95aan/J0x0pT K53PvPWWO8G+7QLrabSw0vdjGnWwMysalUk+M5icsAp+VwYtyriwkjMpz8Q0 nFMqDXM/rFDzdMtkzAzf1AhK8HXSEiXzo70vrVRYaW4w/tYbkL/eCU7X120E 41EJhc8+BmlVG2nZHkdDSfuX8Io22k4KvWfHS6tq0/BsK43n6pWrG9+CAL75 9Gwn+iqZFsOZTaA/BbPjmxR/t1qXxWjZqBppzZyPzOqGTZftZ4NYntv7eZdC SAQ7GwPhDI5qKJHkFgbptF3qZzGnB8ejSjp3Y6rKdeWRUxf+LF2G+V/VVoY7 1nznGjsKXyKZ7dCXq+yS6SRjM2m5gvGmTpu01HvRtk50PR2PdBORdRLpYG5y JaWtjq0qIw/vjtNtVNOtIN1EbmuS63Lrp2odvZX4NKes5D1WDIRNJLNm4wlE 0dXQsjvypcFISTyfqg2d9oThedmFwJ2LmVUO2YTPxef9r76afPEPiuSFFQ== \ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotNegFeedbackOscill", "[", RowBox[{ RowBox[{"S", "\[Rule]", " ", "10"}], ",", "500"}], "]"}]], "Input", CellChangeTimes->{{3.4177984698932*^9, 3.417798530962106*^9}, { 3.417798637865485*^9, 3.417798647050721*^9}, {3.417798734943322*^9, 3.417798757354249*^9}, {3.417798918624704*^9, 3.417798931216829*^9}, { 3.417799184042038*^9, 3.417799211545195*^9}}], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJwUmnc8Vf8fx41SokhIQhkV3yhFJPF+G9l7ZO+9x7VnUqQkmZFKtCchkiJU SiRJ1r333EtURqKMSL/z+8vjPBzncZ3P+/16PZ8PxN1DLLzYWFhYXqxhYfn/ 1/GZZSMd7y/qp+WrvD1W+aqZ9LZO/yiVxJTBWNmjtkOA51O5jkQoIo+1TY72 yChsnD1acd5DHf2dzJS3v6aB+tMY80RebbwqtI0i5dkPpZTn94ds9VGIq7Y/ rnIEaPrU7iUdE/z05WFD8hIBXoZxk+7vzVG321rldn4/aNTPr3ofbIVpTfQb bEeGgauOwbKVcRTrMy7MZPkxYPdP3eDDp+xwFXFe0XTHABx6ItykxuaIKOzU GT/CgIf6LjtehTij0oFe+yfTDHi2jndlY4Yr3nr0ueyq8CAI190YrGhxw3/p tEqN6wRIpC6F1Qt54B+GkOkwnQHO+zlz0n08cWXgYXSs8hBslDG+1nrFCy3E hi7MsBMQomYaEjjjjTdCLPh7WhigXZQue2KPL74t/7ujOocKrXxJZRwn/fCR F42W6ESH6FC5MqNP/ujm1lsifoYBVwU25bHxBGKsQOezh8E0iO57rC7pEYRZ G9l2numlQSsze7CqNBjbPCYeRpqSz/8gyba2LwRPy/mXJkTSoS64PnQ4LxQ7 LSZ/WBrTIEMoqT9ufxhmdMeMVf4hQP5D6WVdahg2LxeVFXynw/TSFem5E+F4 ydfrvK8ZDQIN6u86ilMwro5yT7WKgGc3Fc4svKXgyNSsNn0XAW+l2zyM/CLQ QiLKVMGJBj+3qrAeXxWJZYq8XH7OBEyKci5N3IvEmM1fzQNdCLiu9WuSxyAK PY5bB726TIP9Mepqvr+icCJjqiBHjoD4rvKTMbnReKTl8LPucAKoxV9y/PfG YLYLmxpjkQYCEWnL5/tisNShI23gKx04wzRdwqJi8dNJxiHpSAK6E5zE0sTj cNNrwdimw3So+WNVlvAmDm+z37ut1EAHyxKfbbu941HF2IJV3IuA10b9Cxt4 E1CfxVjcMoEOc9u92+88SED+Qzx5J9LpAD7v3aUNEnHQoGWtojkBzg2FRwdn EvEjbv+4pY0OBw/Ea+lkJ2FG21cnvgA6fG14ljl6KBlrGKnHrNQIGBgy+v0P kjEl7I72ViBATFVG92fpJnxIZ7SuNXgLPstf2J9p70HN4KwZ2q0RkNacdBoP UMEfo2+EDiWMgIdwN7/kVQ0cy1v1VlrsM4QUXvx3r1oHWxoKjo0cZ0AjzRgn 3hsi6z7TTH0Ygf9iIgJCY80w9nJMusf2AfjIprIotM0SDffr2rArEbDzyQTb 75vWaPVQ7dPrgmG42JNXe1fRFndEMOs5cQj2W+/brPbSHk9n21ZfMqJBBOuz GVYVJ2wWuSLxjG0Y8h428v5uckHbJhpXXAk5H26DgW473TDrGeXUrhdDcFn0 w40Dwe6oejOgRtGCCU32bGziTR6orvxli1g1OY9yu7feYPfCQsn8dasuk/mg 0JkhpO+N0Um7G7MqGWAfMG4ck+2DQa9k7OR9CFjVe9znZb8vqnK94//0nHz+ C+syGTl/rP3xxj5TgQHcWtsv7goPwJzQUy91iwjgnvf8xvckEM2sR4rf7KLC Zark2XHWYFx771jYYiX5PPuBKafDIch+J+XQ0z4C7u8eraNgKB7hHBN+XEWF Ui2RHQ+HQ3FdTh5dhZzHoQiew4z0MLyTLUjPHSYg27t0WGxfOBbzMJ74q9Bg j6Scv8zHcPQ2+8hjSqUD/2LUxf+iKOh+0Hz/vm4CtL8mRksIR6DJi5uhO97R wLns2P6xxxF4z23P5ftmdPghIp5UaxuJj0uFEy8+IeBNRVJE0lIkpjc4dAoE 02HCqUjg8JUoXDP5RzuNjw5HpcLcprWiceZIZrBULgH3arQzwxjRWNH90fo1 kw6xax7rrqTGIJ/7YCD/Ag3OhY/cT9kVi4WJA9/PeRIwNff++VJ7LEoLPTWw 4iegVdXONSUyDuVmpo16N9DhhCGN+Lg5HoXNw9Zt0CLgbMR2btGn8ZikMH+K awcBtMfbmI4u5H5Y5X0Q/I8Owq3ChX7LCVgvNiEntpWAzvNVQymXE/HOU1mN i8oEtMdwdmRrJGFlofspFys68MaK+BZ8ScJqsQ9DU3/pwDBarUFRS8b0xvhG VCfg+aqZ2dlSdvyda6aGQ1Vg72cd1zsjjd3VaWp17xhQ7VenKDSthPIK/1YX 7hmFuTdJc5F+iC7Fll4cmwbgqMxp6Xz3IziRmff6JzcN5GU4oj3zDPC1ueeT 319GYIvosNVUiSka3nywfeAKFURu2s2qRVuQ10Q2/fwQVKvMsLtzWWPpu4Pf G18Pg6WOquPwaRu8k8fZ1ONFhz3lDc0NO+1RrDlisOrBINhQA/qvXHLE2phC Ib4nTChL4LnoJOSCertyh1kqCOB/HFnz5LMrKlTWx4lZDcLQd1WNWSF35DFe GlSpYcDPqZUnQYEe+HCh3lRjngAu+eLeghpPPM8rXhk4NgjSD9YXBv/ywp1p vGe+rhDgaXXJOVzDB3XZfhyPV2TANeXVb6VO+GKKQubJ2DtDsO+7n4RQvx+u pZpybE4joLn/hli9ZABeyY65YLaPAUc5Gp6v8wzEhM9hxOVAKqxzmPRKfxSE IT9MNbXIefC8fODLqalg1BTVLF8k90t63fKQqmAoTlz1+ONpRwNZu3ED/YZQ PCD9daOnFh0evXq1bo9TGFYyXs248jGAuLhdQ2FNOBpff/d79wQ5f+e83/Dc C8fvief1Qv7SoOnqhfIWQwqW/BU9yk4QwNJmm3J2hoI+950ufUykQ56XVPuW 7Ah0PXSoWa6aBqEi9xtL9kTilNBMw5oyAhzGWmoP9ESiXsk+CQtuAtq6XrHe iIjChlJ2m657NNDutDGVFYlG7zXu2zKDyfev9WttZH009swueh45SMDuD8ZB 1XYxeMjzzqY93TSwoBz4xMkSixwb7K6JKRKwrMB5TulqLFJk6kqSTQkwdHRo TDWMw0Pv1SS9OeggUl6kcWs6DvUnNP6kku8rdG2rwLXseIzdsaC32ozsn5SE yRplsk82LAXnqtHhVDjuO/0pAT11VQclaHRIS3ixzToiEZ38H7b6kc/PK+7a qCSchOY5vM8LjtFB6nO79VR9EhpYr7bPv0eHkROMUdnDyXh1VrXnHdknVIpd nm+YKDJNLFWJyR6o1336yrx9H378viC+1X8USoQl0p+PqaI0f+lJtk1M6PLf odDVp4mP1VlZ22i9cGr1/d5WDj1UWLtvH/fJYTDJy+eM4DLGhkSbr/FDTGhz i77nJ2WOaVKF1VOFfXDaWejf7CtLFFKqFlRgZcKFg2Osp7SPokud466cRiYM u0/xRdBs8Yuaa/su/QFQWnMj4JmHA8q/WqP49BIBOTs2cHv2OOHeQOG20/VM 0P6prPVK0RUZdl3fA42GoIVbQ4oz0g0D5qMK5Kdp4GrmzR3T4o6HnvF0XHVh wrlXqw16NnmiYdtwbHQJFTx3N7jUmHvhB8ev10bEaWBbl5XQfMkbL5aWG7XN McD0uIpaEt0Hq/v1I1/x0MEzgmW1914/DOZ5uJjdTM57kYaEaoo/Lproenpl k/twr2hzflMAfupN/pDzig7NY+v5t24IwqJ3WmN7Kqiwz9W+2tQ8GJ3uX2Ci BLlvAskL+0+HYMOeNzftSB7Yb9yVd9c/FCWFuG4Ok/fz7zH+x88VhmETe+5+ u0UAh6RtUN6jMLy809kkM54A3Lc9bZ1DOO7tKLhlwUqDjsez67T+hOPixpM3 Mp0I8DWzzj1fSkHrHArfSBYB6WvLg2o1IrDGVHeS25MG0vShompqBBLNHKJq HAQEi+Yf7j4eiTU7BBZ+lxKgHKey77VEFH40uH++4wsNeMYDZLrfRGG7DG8A o4IOvnGnKdUB0XjSd0LYOI/sJ+l8nuC1MRi1/dPSoAMdXquJSeg9iEGWE8fk x5zp8C4sN23RJBbdDtSfuEZ+fuJJwVTTXCyeb+L8tu4mHQ5vtWFNvhKHd6+m yf81J/tqVuLYP/V4FKd4lXWSvHeHSGAr+BKP+a3+2tF0Onwfb+5lT0/AKfnj vFZH6HBP4PeynmQi/jTPVdUk81/w5vWiB22JKKn8OsWZlwA2G81T475JuOq/ 09a/jeiwLBwUp86bjGGST9xPS5F9xC9z8Yl6Mkah/uEK8uf/FqYaL5bOAscU 1wcLwVPQs+3sgWH9nUgta4os2EBA3F/R0j2PDuBK7d/T3XdHIUnrTqf6RcC0 d7fr7fSGwCCcVS3jiTaWncZZlrxB8DVxzymd00d/9y0ao2MjkKBAbPr90wSF nHNNG1vogIt+oWaSFnit58K86MgA/FmMOCH0zAqDeFKkb5UMw97krD3/Dthg wl7aDe7zBMgaHL+Q8NkOT3x8EpbSMAB6hi3vpkwdsXf7RflmZyZIeygTG1ud 0fez+8cKOwb4Es39XhWuyBLEqv+VexDizcM2WEy5YTGxPTX3IAPWqfwVyNP0 wMPRBdxLkQxQrDRXPJflibvihQ/SJgehJOD+pS1vvfBugUGiVDoB3/XmvH9s 8cFHujWKMmkMiPDVibey88W9mbejz7NSIW6F4s7z0A85lc88SxIhQGSHv2vq sj/yiw17n/NhwPJZn9tpKoGo/Ir9a1Q/FZq2WFh8Oh2EnTnfypz+n9/o4Xr5 dTCmQ8eOSAMGeC1y/NjGGoodT++fnxqiwcxwt1PBrVBUefUxbGMTDS6HSIT3 6IahDoe2+xkeBpx6TISozYSh5HYNgf/3bdMR9sXjF8JxWfCwXdAlGghG3d6V rUTBYhOZ0dou8vyVdThaaBTkVcHeZ1/osFc3anNVQgRi8XovwSSy/0Uorue2 RKJWrvg91pMEXDvubXe+KRLFNfeucyX5ROk0dd7eJQoVyj1zWotooCppqGOw Nhp/KfspEmSet3EavZ67EY39yXXzLLYkPz7ecuycdgxen2uIcCV/n+pZ6lfj iRiUjEoMcxAg4Hj3jvmPZ2KxNmF86RPpF1mBQ1MnlOJQ+mqhi4ww6Qcm82F8 1Dhkc7N6tXWWDu7d+cU+8fFosnDy62dy/43G/qMwJRMwru+FjIItHRr1LZOE mxPwP9dlU4dKOjDD9F6ouyTi4cNiKUcsCYjdrVh9iiMJP1iUY/dVkk/Syo2K r5M+4rLaPv0UHUZL3z/JUE1GUUse5fNkfyTZvJiUzRBC/zf5ZzI2fYB5CRup vih5tDaWr6yt+ALuD9Jnem4fwhB+p9X+tsNQ3LxUvnhYE7+ImIoeu9ILCSZS 43VOusixwphzLWZC2pOfUhVBRhi3+fsR3bJhWJz4zTXZaYaprG1PZzf0w4MK 6QQOiiWm6BusstnFAPqC33H1OWu8Kv1+Skh9GBovanw5l2GLTz9NmtzZOAiK DwI0Evkd8Eh4KasImcepuV7/HqU5Ye7u4Bn3aSakj7R7la5zxZJPTXwe9lQQ Us7SqzF2Q9UbjJ/33lDh3+OL/b0X3PHc1Od+/wAm3OJddePPNw+8q8d1pqCY Bln3KM/u/+eFNReif+kZUeFd5J7UIIo3vjM8PSQxzICeqJwjS7U++PMsnrea pIPidY3H+av8cNe28W3DO6lgdd/Qfb+NPyoulWjcDmJA5byjnXNRAB5f6nx8 lfQ7n5AnKwXDgUjdYnFwwpIKX8UaSy/JBKNkwv6rcT8J6Km9R9HzCEFxseON 4xdIfjg8eOOcdShay33D32S/DdQp8rnPh+LLM3aaIyS//Gyv6jl0KQxTaL9e G9UQ8NWQqObXCcdtWyLzLUm+XQnMPvR4NBztDn2ToJI+/lzKe7PzGQqysmbp uz0mwDsme2ZCLgIzJ16kf8mkQUvTnlHjtxFY+Va8y+E+OS+iDtTWIHIfzvvW ipB+f0xgqFuCJwpt/KytQyXpkHTt+Lb06ih8xeVnr+FEB5f3if7dNtGYZPg+ QJ/8/AtTEx0/fkWj5YHf3VEldCiV+K4oWRSDb9WWGqakyOfPqBarqcai7M6m Ww8p5PuxrTrqzIjFRWeJig1jdDi2u0/+2Ok4zGNjn/srQ/rhlWMVfrvjMWhn aco2KwJK7pik23XFY+nHkbXd60g+NQ9zlKck4Ga9mRLh/XQYnlhj0M+TiCwf b8pa7yEgvERW9UJVIn5pOt5uRfrK6Nj1/9Stk1BY4FZShyEdON5qh33/k4R8 zO/B7/nIPpPfHCxI9sc9P17uWLI/EtUkNALC1qPbE8O029AMxCPRxjcXd+PL k7/qz9kNw9Qnizesew4iqyXL05KwLyAbfuskqTCYs0ZmnN+kD9wJPv6rXDq4 i/pKss6QfD/sdxyk9xuiRmP1vtf3RsCBffbtrKQZal3+UvGuchAWrPSjdrdb 4N6gSNfRKBoExYak3rWzxua7edXJL4chev3XjNd0G3ytLV22/SkV5JfnJpYj 7TFEfrvzn9Eh8A7hHzUbd8TDnE4lWuR+bC0Ys74d6IKX6o64Zy6R+XlG+vz6 f65YOW3KVv1tENROcETkabnjcHHc1iv8TOi7xuKsW+CB7h4NL0QDCGA+YMZc HvLEA3Zz1whJ0oemg7JbxLzRcA9nraInub8u2kd/+/rgfvYPKPSRnGeOVqHf D3zxgeHEBVruEHz95MLczu6Psso/Un+OkOedNTw0bRCA50dFhkzHCahM4u3J ygrEA+9eurHJk/tUcipWZSAI/75IrfnqTYDi8hp/ikAIEvcvVzmsZ8B34Z9v bXaTfTFlrr8wSwXvTvaDy+9Dkb1UzepvJ8krogHl6eFhmNTye96SnQEHU1z5 ZETC0SNUdnPDSdK3+98UlTSGY5Bc/S99fzr4d6Rvm3el4IcHUZXBpH9I2AYs 23BEYMyulYJNYnRYTO1OOlZOXlPFLUaWaFAhMiZ2RysSN9JtvwyR+8FnJC44 MBaJOjdf9we8oIP95gqunxlRKCEZ1CjbSwPjWE/bDfLReLfcyo+d7BvXhBKD 2Y5olJ+2LPcj+8FiIsW+PzgGfWI7jjYM0mB6JvPFy02xKBj9/BkL6QOR+RM7 ix7HYlgiReORAgFrjQbOHXeNw4rbKRsvsdHBbF51o/oq0jekrxTFyJF5rj6T TVyPR4PzK8PXDhNgK9Lpk2GYgB02avzTcnQwvyg3svg1AUU+VewvX03Af+mH kgIyEvHfDc7SuSMEVHAGhQzLJeH6bqXt+t6kz0v/ctbsSsJzYq65N3rokBi4 za99mwJ51iY5az6MwppNps03IrTw6Ny2D4d7PkNew4Hmrod6KLguZXWiyggI hqhMKd82RpF1rWeukzxe0LtgNBprjmevGanyvO4Db+61xxnCVnh5dI49oY4J FjGeKR9yjuLMhuaLP7czYc1/F9FWwQ5/RByfEVnoh4OuRP7fRw7o7lp6ud2Q AaW1j4UEJJxRpS64ZcaDCSwr5dsnnF1xT4XCLfX0QQhmzv5zLHHDp2PzF6+Q /PjimzxsmXLHUaENk1vkmRCVsGbqvponytmcVrzWPgSH7qxiexbjhZ7/8fHs 5iV9689U5OY2bxz8e65uaZwBb88SiqxrfPH20z7rek0a5Gk1WirZ+2F47+Nd F0+QPntCmal11x/Fldq6NIpJPnLt/dQ+FoBibSHOY3ykL7q6y1w5GIQ96VF+ ZYo0iLv6+zVrbDDKPOK05dBkwG+nl8dfJ4fixbpxBe9JKpiUe028FgvD5moP X/0+ArbGLa+eeh2GY8ltqlsPEXBB0NWGJTQcxeIDZhuFaFDCYjP4fj0FuT5Q FD5kkvOZoM3zsoaCvXvd0cqZgFsXar6mWEdgYaWk4HdLGmT+PW289WcEVu1i CFiQvvtA9P1FemEk0sO3uwafIGCKVnAuQCkKzwQZ3X1aR4PSfdYKovQoTFPY m/6MnczXHYUJBcnRmO3i8iyD5MlsNzXzia0x+Pzimj9XyLyfsrXgCWqJQdH5 yuFXJI/4//weXuMei+Z8Fm3CCQTYbY1Lk+SOw5R1BbvmAumwsK73Q2J1HD48 Ihs9lkqH7XovTfMt4vFE1/rZTJKf6gTvJnb/icfaPGLT/rt0CE3jN/9cnID5 k6b7QtzpEKXOfFinlIjhGQEOmwwIEH1F+3IhIQlz97zAchs6zATkp+bsSMaC B6m32cl9Glo41OYIyajL7mM6SuZ9/PMbLKuuDgNT/V5p90Nb2Lgknev3Wwrj gifbtcnzdnrd9Ull0wEckxSoI7pGQe/iMfD9p44X+OS4F45RoVVQTZfdSxu5 bF9O7w8ZgFVuvKXPb+qjDcfk/acfR+D+c2dKTIkJ/uNp9xgm+9xCYuaB3aI5 clyRHircMwBi9o9bZ/OtcDH/s61+1DBc2lq3+SyXDQY7XgwdWiHgnqhX6tBD O3Sd3fYi0nMANNhCdARlHFE1p17dYQcTAo+2s00UOSPDWO6O6C0G5ER+G39a 4ortfN95WTkH4e0q7kjWfjdMU7WM0iT5Q9B5WeumnAeu2BxbmrnPgDdhch5c 8Z64e/3nRxHrhuCowd/tP6q9sOqSoFKcDukrLRLjchw+GPP09sKTmwwYYhmz nNDyxQCHi6qxWlS4sjaWjavYD72fTv51b6fD27eGrF+/+uM5aePxj/EM6DR/ dllbKhBrWlhcrm2jgUjsCb3lqCBcs8mc/YU06X8b/4jKVAejpZO86H5TBqxh Ck1LTobg/qMPcg/sooP1bZ2xhsuhOM41Y7Cd3Dd+7a7ru9TCsOfHXeeja8jP 04LpzWNhSG+qe+VA+mhf6Yfshqxw9BPTqdwXQQMNotJvbjcFfa+vMO+2END5 o6GN2kPB1J3dW0PWE7CsfOXZv/AIfPBIo6XLnwa8Ir0Va3ki0a14/8SrcAL0 upT/a3wciWWV+bsnyD6fGv0aXmMVhV+mN9qpkL7wuKNVw24lCp83XwroIvlP YjL6hvKlaPT0mzAQJ/ss9FYy51+VGFTuO2D57isNRhQezYQwY/DfqmDkJvP4 lbjiXYmUWKTYWGtEkPNR8askbbVsHLautS6qJXmoU2rnad2Pcej39l5j/mey b2pXHN+ExiNXxGKwnTsB64TZHi9sScDYwewt+/zI79cMXXOvS0CVU/K7vl2k Q/YEV06VVSI+/rWNf9mCIP3ca/Wj5URc4WcKRFXTocqJR2+6OAkTbtgxP8bQ YeyBjuRB0hcSjn1bCSd9wUQ/UphHQBCLKp7R7qt1wn/iBjeUivbiqIW06WGl L3Ak5pA0se4QmtclX/L4MQxJU96OG35o4F2urxMhr3thbsbl935OXRz707M1 dRMTJN5d2d8pZoTBGcF77eaGIWd/zdM918zQO/PMo2cn+6Gpv6KeR98Seb7/ SG2vIP3f7m7zlvfWOHlOaV10yDDIHQzoFHWxxZXEF0VZlwahKsVEljphjzqU vraQtXRIMNgYO+DihPbu6ypFV5hg3rB7SnjcBQtZ+U9bzVFB8121PdchN3Rq j74dhmTe+ithWqo77iw8KBlG9kn1Afae9Z88MDLMef+WHXSQDDKdkNnshbdP pSW5/BiCNKskDi1nb6zRfrFxpYMBm38+f6NyzQddeK7sEd1L8qoaM0vuhy/W j34rqxkfgthaM7Y9mv44Orp+rZslA5wvqf9pPhmANxr5lESCCDikwPPLqjMQ L2V9ZMYpU0Er6WdBq0Awut/lp3mQfDVxSmvfR9MQ3Cs5+m51PQEbqomHrIah eGz/G9pKGRXUkm5dPDUZitGJiXEdJiTvl7qtzcoJw7P6X9QEOgk4bIfvilTD 0bw95uxTMdKf25y7fwyFY++2u5wpXAR8ywq2az1GQbndOh8YLwmwll9Ts0Yq AueGWFwmbtMgu9Ims7gpAlPOzLxxTqLDBtHncuoekWgYZNNCqyVAyuN+udnq KPRnKgl66tLhAGtWMeN2FGLW2rAAJToMxM57MYyjcX0H8WawgMy/bqH78uPR aDbR3bmzkQ7cAmbPs7NikE3gxb2r3HRw3s97zWVfLB6PDXq/FEjAnZsv1t3v jcWjzlYKC2T/lFVdaGM5FocdW85J3CJ9+nLkw7bL4vFY7LppVsmIgLxztfpP X8bjpd8ntXcJESB+Qu+Kjl8CRjqd0C2XJX3G9nyoOEcifvp27Oom0g+2b57m Wn87EV+wccwySX+wrfgc72OYhGk8xDeGCR3OXK0IxGnSH0y/dfJxkr6gnvW5 VS0Zl4qPcDqR/SEmfrp4b8ZabFmqeDOp0wCiWU9EzHT/w+rhy4+2kn784crq f9znlPFbF5v03c9fYOPlTeputYh72n6JC2/vh6ETJmJba4+gF0NAWsSSDnmC tn46wwZYs4FLRaJrBL6e9/ztP2OKLvkvg65dGYJ1SR+qFa9aYIjS4nkWsn+y +yta0vZbY5OkZqnOu2H4cnsjxbrGBgtNF6r9SN97+L7/s6OJPboeHmHkaA2B 884ml5hWR/xv81fXff1McM6Ij0nVdMEHxmZBOjYEfN9uWu4x7oqP+bt/vMwf hEzlqwNae9yR02/g+revDBh58++MfYoHso6aB9s/IiAq5PlN4TeeSGmoaDj2 l+Sv9882FXF6o2dwJysoMkBiIHRAwdoH73tzeoWvZsDhK54/M4t8ceSNHuVb wRBwE57HRab88PLcfzqq5DzxK75MtFYm9yMNbTbyMuCEpvcbo9hAtKn8HT2l S4WHS/Uhrq+C0Kvm0X0N8v0bdVzetcIagksuulHnJRiQkTP38c32UFz19MfD AAkavMmNfiHxKhQp+ZKpD0/R4fCM0OcBnzAMuVGywkn6RWZWk8yDjeEoXVKU JPCYBlGKF/b11oQje0Rx/h3SL/OVs92cjlJQxObalCCTgI28zOfhyxT8k7lr T7YRHV5FLEl1FEVgupa/4BaS/7NFDEIkVSLx8BUx1YB7BDwumhldQ4vE9e1p wYMTdNgY8TTNMDkK50NKvxPPadAmSbMU3Un6ws+nmi1xBNS7tMkotkYj24DJ N5H/+zxtbFjHMwYD+IaUT/TQQFzBrX2MMxaLPvxtldIk+Wjkz8DY3ViME+uS 3U1e/9dTvIv9aBxeGNnFHk/6glKHvwzlTxxeDSyLtRYnIFrSwVLzYjwOnsh1 mSX7XcD0+p0rGgkoERDMY65IhwmO2nWa9ATMfB0U1P2L7FPWFRMiKRH5/hhJ 25P9J9F9uYlbKgkbD+svR4fT4co/F/sLL5Mw85rvDf0mknftJwuzIvej4Gfd h+y3RmFCvT7u6U4tDCwP4Fiv/Rk2uIW9M3DQw4Ft1UdTRofhUcrYkrW9MU5q 5HDMBDJhr0jd8i5TczT7mezzqLgPYg5kN32ftsS7kHz/mRsTIvuuv7gXcBTf B0xt7KeQ169aZUbX2uGOcGupFd4BqFVoOeZ0xgGH4585Tc0RUBTsnnN4yQlZ zM6wiOYyoWx+cl+/vitWX9tbeZE+CBeihfmqTrlhF/sFiQJyPngvtV9v63NH 7Q0xznuNmHD8KofIC2lPHL2sedRejgrv/Ql5FS8v3FL81He0gAaX+9UXJx55 4wGJHB3p3wzgXrv+Ccz6oOPcgqH7DRosD7rIdmr74UEBQbF6kn++ZB0+DgUk H9m5FsReYMBtjroo+Z4APGmv2E0JoMMPyToxJ8kgTLfqeMIyRYVeFunn0l7B uKrKucWZ3Ke8T2/PqESG4vY/ub8s31Kh0rc/coo/DGfK1lZvbiZ53OSOisaz MHzUJq+V7kD2h2RT8EmvcMwV1Op5v5YG1Q47KJyrKGguU2y1M4oAtVEj8913 KZhTLH8pK5r0CzPZuyWGEdjD0XX8vS0N7KeqZn3GIvCS+uZLpaIEZInun7A9 G4mDgyo2w7kE5Mj6uhbJRmFnZ89m9g4a2Ga5PojuicJtHyx/7Bmiw+R73pjr kdFoI5PWvZhF5ou2n7wcXwzuTO21HFInecWw7sJAXQwmUxbjU5PpcHFfY8Jn 21j03/Uqp4v0hRL/U4fCWeOQo/iHIUsG6ae5BX4rt+PQ2L7j+HeSdzjEfvm8 1YvHkUGZ42EeBFQubULF6XhciNPSpLXSQe7JeO5kdgL++P3lbZMFuX93AnpZ 5BKxennHlifa5PvK4lVuDid9Ny07W8qcDtFarMlfhZOR69tNXZAlgMrxaB8X 6Qu+Mel+7WTeNHRVFYeG/YXT+fc3/hW7AYXaPz87Xt6FV6qe31iZIaBQIcBf 0lwJy64Ncp+OHIWB398enN6KGPC2toFPYhDeqVafOH7EAHfpvUiemRwBg1tu 1WG6ppht7/c89T4N9nQx9ukaWyDbi1/yZyoH4XORgrbaiBUaNbfkDNUOw/2o K/dF/tnhDfM9y767B8Esb7Pl6yhHrK498E8qmwnqhiWveVpd0Sw7nnvXzkGQ vdx7s4zdHZMoMzf3xTFgZdPK2DEbD1Te5Gr+5iDp09ORqzeVkfltZLZtJ3MQ mJlOwtp0L0zZ8rRjspWAm51vmBVyPij2Xvt2rgs5313XyxqCfXHnFPOWeifp C7+Cmze1+mF9Xt5PdZIvQ5JPNYrxBuCatt9bSkwYIPN2Y3WbSSC+5zCRDLpE hYSQd2WbBoOR83284FENBrxKYR29zxWKFyavP54spIH0xQj1FIswTNSgrFPd xADF28ds65bD8FKRh4cA6QO3viu66ZeFI6vmR9PAdhqMc139IqNBQTaOF8KK AwS4HzUO806LwBe56uIPyP00E+HlFZSKxIeFrNs/5RGQLNedwOIfhWqFxeb2 paS/x3wwUOWLxrMlP7nSXMn5b6maEzeNwaB3O950kHmbWsVJ3z0Xg58unJPZ RvICpG7WOlkQiyx5VV8iyP0KHNlqs0ojDpXab5lZbaCD36Rs3+q0eHSfFbd/ RPbpuWpL+XdyCThxW/5GoT4dFOdPTL/xS8RcBY1tfOT74vBg83DhTcKFSNa7 4dl0uP1A2Vy7Igk1pdfVMovoYHsg4ze/+D5UF5K6l7F5FGoKssdHTmsiOw/7 DrebvcB25yuh/kgXxVuzW5cEhuH7Da3NOQ1GeHFqiGVJaxhcbyo53l00QwEl Hi+Wxj4oSS9V+1tiiTdcuFkXChnQcEFa00P0KD7bX+uozj4M5v82L7NW22LH fHiqw5UBOD305OSZ+07omJEm2ELywuj3FKuqba74xvpFUWr7EFSws1J2PXBH 5W2PNEX9mVAyvipmbMUDbwe7lvwUpMHieGHWPnUv1DfWusRTRQW+Qtq/wlPe aHUs1uvlNAPecV+l/t3ih+tKmRNrQqiwt1ynWSnQH8s329dsOk7m3V0Pzv6F QJzoaymMSKBCZmPmnSi1YDQRf89F52LAh9ZPl0RdQ3HoYNHLa1epED3bdEqV NQzHfjyM4TlLQML86qtjN8PwT/bZteVFJB+qH7t0ziwc1Y4dtYtno8Hoxuay hOlwrHxz0PWoFgG59U6f5vMpmPem8fxMOck3TVvku5UjcOvBW6pJkTQwEV3I NIyJRDunJUbQXQKGXq9j+y0UhQXKQVZNZN+OSK0KaXGLxtGe7U8CCwm4zPVi 6sFKNHaoxaYfiCfPX/7E3ZryGNx+PfBOGtLhb6VP9tYjsVgsmCpdGEPyNOf1 Mp6JWHwQsjjx/79HO5dvLvqXF4cts+Xrzh6mQ/cb8wuKB+Jxsjbq4AN7cj/F ircIJyZgJ7cdv/shOuilJEme35KI3qci/VuUCIjYFtHP75KEI/W3v8oY0iFl pi8yb3UyHlpzS2iVCAHXPqe4aU3LYmvmwV+FnCPAxV2aO/fuIHp+tCn0+zsC ejpqHcqWGnhrx+hE2NXP4PhzyXhdiiHuXdyzZJYwAs3PFLY+MjHD7e3uP/4b HACDLXu0uo5Zo9FTdc+8qmHgDHteqrLOFjPbqYrNv4cgqM43UIbPCata5IbF ST8rmGNNruVzw7sdHyb/MxmCqa6A9V9s3VGvaeF2nzITjKc4DCSmPVHMbY77 ud0Q/Nkotn5KwRsjkopgVxYDAoMl0anVF2WeXHhscnUIWtrtNXcI+aNcs8nz nA0MoNXX07rKyfx5kKGKO6ggsjvs3lfpEBylZyeV/SL5sXz8xZcDoZhx8k3C QCcVLPSfhSgmhmG3mO/+oN8EjFBYlsp3huNmHqvzPx1oAB7J1OwACj4culsv NEiAQukvFTXeCGyy77i+YZYGXSInOuVNIrH9+cdvR+oIKK+/ll2QF4UH2GY5 1GZo0N353fGfSjQa3LqyXpacz9HFrR8CYmPQyOzPwXtjZB49qqstF43F1jWl 5Wnk+Y62bFlgDYjD45uvybZy0MFffP3i2g3xOJvWvqblIAFpdhmdSRXxGCt2 QUh3HwEXv81JUawTcLFVP/vEf6QPc0ffn8tNxBueMu9tgAB1DVWxeuUkDFOQ tzrgSAdakvmhtW8V8Lu6QrTAl1GQGBvmzGnWwoUIYTvNM30gLPSn9ugqfWw8 8qLSLHEEVrJVLl27Zo5pvw1rc7f2g9VwslafthVSJsUEk1cNQ9HZMJu3TnbY cFKvdGWlH55k/r1zacAB4+x0jPQvMuAWC9eVST1n5Cc6PhXLkf6xyp7nH8UV u4/spEscGYRwpYI+P3YPTL3j+/EDFxP8bdY2FVt4ouyboe0ysUPwn8iVGQ2q N64coamEDzIgfVN1RbOwLxaICUfajVKhJG6/pl6TPzo8PBn3Mp8BJk9/Kfos BeA7G7A6RPK2QQm3IsM4CEcyjgjdOk6DbZotHwYygzFkw6oL/IYMODraGGt9 OhTZPZ47Om2hwQT1p/tV6TBUcMw1PDROgDYnC8bHhaOUNtuRNnkanLh+Sqtg MwVbo+2stK4S8IRQ3+njEoFKHiXW3tY06BQNNPQui0SrfSNVfeEEGJx/+VwN o/CMCIcKkn49Fyeakp4RjR6rZVZvTSJAKWlj+N0dMeikHjR1cj0dDlUK+uUG xuLBJzpyGbEECL4L6O4RjEOWmpo8b9IXD4UXKLs6xmN7hXesiDcBTfs0n4au TsC310MXiBw6VFmqbXhxLQH/0TZMiUaQPt5tmxGKibhrdXsYmpB+/fdeXkha EpacbzK0cqVDUJ7MqcPyyfjzPk9zAzlfg99bnB+Q/MO6+H6ShZyfGK5J7y1X PwIvT1+95qQ8VHydeyFrKIUfn1l4s5hSwUT2TmhjiyLe3az/rGNoFGRfj88n VKrjJ0f+/Bukj7F+szdqOqSNgXzXOf986QcL/7Ebxsf0cUuekKtj6wjorBKT rA8zwSF4ZOBeQ+arkpKJ84g5Lh5ZDbq0fpBf99nT7bgVLjQ31/51Hoaeb0bc VnNHcYvOLtsqko8D03tjuEvsMFZvv9IdjQF4TtVmvyPgiLy2fB+7VjNhg5kA f/8JZzSFoTqlDgZINy3/Gs1xxV7FiKfiPOT8OdtJ23W6YYX5k4uv2kn+nF4a kJf0wNYrZzbWvWYAv8XFOP0wT/S/cctiVuz//y94nWl3xwvXOWmvdyP5wIRF Rc542RuFPwpYJDxmAK+xMh5U8cUDMo9YUv2o8OhsfPepc344Pau/5JBHh9JL DebCdH8csT14WvQEA+oUfIvKtwTigcczKKVDg7e3LrXwBAXhcRqdVfsfDQ7G vUwIvhOMK0lGbCOmDLhhJ7aYzwxBu5z9m6eMSR7OZJHtKgrFLK42Aw5fsq/2 3IQPymFYEWKxJpuVAWlvp/lOMsOwcTvdv6eNDp6ddY79GeGYTV9XkOdGg6MC j0/f3klBX9kPa6hPCXhluCAz/p6CdQ/H7SuFCfCoqOLdGRyBVv9exOp50ICl ZI3dS85IbN2s8/izLwHC0aV8vZWR6GtxU7fbmpz3/OAKd9Mo/GGyIKJ2kQa/ ylIaXRejcDTE2ugj2U+dtPWCtheisW3R4OudQAJuXN3fWaUYg7megqkvp0l/ siyZP0aNwaN9vB9OLtLBV1919dv4WFTcwVa5ntynFwcTu1/ujEOFjBMqH0hf bz6nJujeGYeNZ9wnB97QoVdGQT0uIB5j9Cpzf5N+4FsV9JldIAH7t2/4lEL6 q3SAeF1aVQIe0fx5IPs8Hb7eDvoTZJqIUY65rbokn+3oW7n/aj4Rm/abe8k+ p0OU/ssjF/OT8NCY+JmKMPL+A2y2PKrJKCKb2OahRu6v5nt5lkF+/F791kzu yDto2yD0aXFqD6pS3iQP/hwBJeqmFq+nKji98UO+rPIIhJ4oqRNq08D28ztl eCd7Yf/LxD8/aDp4qdnA1PwdA0I/Rak4zRviWbOIZk2REXD+lJf7PssM4V47 411nPxhM/bLjV7TEsX8FO7spBPBzvnNPf2qNhQXXpfxODIMnB0vLiL4t7nB6 vV1ugpzv8Ubx9f32qPkxkxC+Q4OFHWMHgo2ccPnyestc1mGYqYn8t6bXBbvm fz0y1aPBZ8E2DyV5N9y36RuH778hmGtJnaXGuOP0R8G3iw5MONTGFlD41gNl P6la7QukQ7DxM3bf9V54shMpO18OwbDWzrb7lt7YteSreLeJAQf3fOKyK/bB v3syEsGQgK6M/fGxI76IjWrCfh+HIPOwZfddZX8c2hdoKKHNgAOhDw1+xweg du/VSq9UAiQF6qeqWgLRB4zk2PZQYfr+Or4+rmB0OPP6Bl8LmU8/N2QL6YTg d9nHX6reEEAL8aiuPxKKG29WFKy5Q4UpV3fi4tdQNH68k0OW9Lmrpw+WKZ8N Q1pAXpdWP9m3LtM2jkrh+OSn3FHe3TQo+33kMndfOCY+ZBk59IcOKy3hcdHx FOzNvelKeUfyQ6amoMC2CGxwOGjkX0+DeZlAetPTCLzueqTR3Ie8v+THpz9O kVgm6cUQe0LAHKdgpg9LFA6F7l4OsqdD9sNNfVnXotBWv+8ljxQdhEyrh7/q RaMbc9e8Xj4B/1oeiJiPRuPW7CJORhcdNDewp+pmxODFr/N2Q6zkPFr8uRUq G4v7HjIdlsj9M3rf5mn1IRZ9Zh9ZyHETUDUfw/8iLg67/YauGPDT4TzxyuqJ SDzKVBc3t+kSwMs28V9gUzxOPNq24a4YAcdEq5vMPRPwcMC36BWSH4w29KYe YU3EvOTrZnLbCYjuMY94XZ6IW6+n6joqkP6fFyqVoJOEfl35YVakP5uc9fYf /56En+QtjTasIoB4qc9dopaMtrwwaUK+7yk+9dcbBTjQurvg+s0tddAQn264 6ZIM7hdL6NtwgAnNq+hFOaCMt+5dr9y0ehRWKeoXB2QjRnD/ufo8vx+22ARK 9mUewenb85MjD2nA3LY39NNTA3zeynWmeWgEjn2WvH7vtSkuswfyN4tSITdH wEol0wJ/TyIjfQ0VyjI+ePwSs8bVwtrpwe3DIBJzw0ek1AarOqZTbBZoEKxi 2JF5yB7zGLox2+cHYYC1QIS70hGbt6qvwFsmsKS+zAiVc0GL1NHBbnIekwPc 72UxXLF/9Nit7PBBUDw/dfaipDuu2L98uKaLAf6O/yRGojzwH8uuMzKfyH42 lW20bfTEd2Htuh7Tg9D+3OsT+z8v3DFsUakozACtzekiloY+yFnE7hMgSu7/ eDW1L8sXNy3uayy/PARiXj4WxcN+GH9f7BHXFQLGOZQ60+UCMPen9jVpcQYE SW1svRsciCu2qRtrbanguLvnO6UhCE9kxf7xkCGg74B/mtZCMAplm/m37GaA rUls3/GtoajiO7dr9DAN4qL2cSi9IPtjYe+pPi86RA/9CD3hHoZ9lTtLtHgZ oJQfWhPKHY7zdqUK0V00YHNP/jtTEY5bW+xYqjbT4U5g3nFecwpqJfrOnmAQ sDZQdPuxeQomCz1KHfGkg9wkT8xsXgR61nI7XW6lwbGS+M2EQiSKxr/pzr9J wCl0eC/WH4mhpZGuLqykX0totC7ERqHb/qr7/9XQgGOx+IOUeDT+YiarjkQQ 4GPuXGTVGI0uyT3Br/YS8Otz8a2/zjGo+aNs+9NuGhyyNOxaWBWLZuOXObRV CbDnZjtw7kYsLj5cavyrR8AhoXhKi1kcVuTrSP1gp4PMweM1Z3/H4Z67zU3/ yL77lX9OcTY/HhMPDp+6QeZVxFfed3cOJ2BlFPNV4UE61DcsiXoPJOAv1r2L Cd/osLfRpbY4NhFLXAJfnzUmwOGxsp/4tiQcfz3oZhRLB/dxAVutpiQsG9n4 zuoxHcbNrPaGbt+PrE8GdG6fGQVaz4/el/80MVam61wv12cwVDj3Yc0+PfTd 9F0ho3YYWM48Z/uy3xh5zu7OvHadCcvPC3vaVMxx0E3dni+vD1gNelx+DFri WgEPvLqfCWmnXrkJ2x5FthMu328XM+Fenp3Y/VlbbKGv9VWRGYCoS4pRZ6Md 8OGDnMaOtyRfGhw07Rpzwm/nX6R9vMkEyq+celNwxcXi2PKCTUOwp1luKy3J DfPopt0HSB+tmxOy297pjsPr0wk2GyasVeSoMhDzRM9Ty2cdPKggbGiiF+3g herU4djnpD8ttY3W29zyxo6J0/3jcwzYc0RyyfmbDzJfSyhEDdBAXrpCSPiQ H/rVUBx4pqmwsAksnp3xxzaZmQsHSZ4/1i/92v1tAF748W/dqwt06FvtsaVB KAh35Hl6fe2gwgl5DZXDDsForRXxYZCcb4/zxtkzIaH4YpNCrFMDFdwNc+tZ ecMweJ9m/CDJl+0HUz5+rw3Du3W/DBoDCCj4L/SPrms46mvea1hhpwFmcMPO f+EoybbozudPgMVW83DadQoK3HtgmEDuf/Y9H+47OhGYtb5j6JoTDV54t+lk MSPwck/AGhY+ApIueeQJnIpEA6ZEVUMxAZ4fu/QqdkUhke53gNpHg+rDo+NS 76Mw60SnXwLp+/9d7/h9LzQac39Y3/t6noBCpX9XjNfHYOqXQ6LrSL7L1g5w Ol8Vg4Iu9mzzwXSoNr+d8tUyFsc69zGjEki/yzmXt2U5Fl0Dek93FNJh9+eo mufX4nB6OfrzHSc6LJ7i+jWiFY91dPnjXW4E7AnWE//yPR59qcGq/N10yLSw qVk4k4DP599FPDck/dCl4puUdCLOD7CtK9Ug4E34bXpvEMk/V3UzXpiQ/rG3 NiFXIBkHGsq4U6TJvj0b5M1UT8bsqu7BZ2TeO1Zv/aWYsQBekum3pXKLQGl/ I8f2Xzvx9eaJ/tXHyX2/oL36NqsS+mq3O3XkjELRZhD87xtgqpoE5dKjQRA+ cubMRjED1DF6fOLhxAgMT273rBIxxZvVN1OHlOlQO7Ljg+FBC0yu943dqTcI X/WtRu50WWGQz/snd+4OQyDBW240bof1DmM/1H8OwLuQSR4HD0dcFFjXFR/D hI/5D7sO1bviawtnoRHBQeiZl3T4s+CGnwVvfdllz4ATN/4mrTP2QGfV73eX bBjwvWtYxPyCJ/6R/UxhfhkESFg99KDHC8s9Ht2KuEFAGxch1SXpg5JhhUei KQxAkbmstZ6+uFE8iX/V6BD4xoblnH/ih2vDlpOylAnQsVjkMecIQLbDnWk3 HBjAd6/hwS7tQBSeZYwK11NhbV8hq92HYLyyy3M4RIcBBWonvntzhKKSy+9H lU9o4HHSsO8/4zCUrqWe/bWRAbSH8iNx82EY0+matU6HDopCInLel8KxZ+sd TqKK5HWN6xxUVQrqJG4Q/072UVunW2tmSgQuB96Xf55BznuJRl23WCTO2MvI HD5LwMCgTf19zyjsZtsgalZCgxXjrDbN9dFYcPU9Y9iW5PcG76d9+jHIQqnr WfxMg5KPs8OHf8ZgsdluJwtRsv/viF2SPR+Ltg/PcA26EpAovVzWqhqHHsAW 1rqJTvKW25PHx+IxsDGPZcGe5APjRvPP0gnocIw/N9+MDmeqR21PeCZixj46 zyDJ46h7kSuCKwnVLc5++k3uf2DxpMmPO0lov3p+dhXJ79Ky05lz7fJYdDgi oHT0C9ySfaX7w0MTK1hl1lAu9ZLnxTG6lK6L/sscp+71M+FghbCYeL4RXjuc 8cQ2YhhkDQQVjUbM8FaEnvcCow92lIwMsZ6yxAcxtKpEVwZ06ukzuziPYk6+ leQH8WE41XFvuu2yLf44OXhP6tMAcNSd09xW7ITja1U9do8y4fHYTqqMgCuy FeqlS22kgq2Tyc7kcndk2iPfRAATJJJW8YT98sDd2Wd5W2xooP1u9Y0QRS+M yXr9NzOJCiFpaS/YkrzRuObY0Oh3BrDY/Xyjz+OHz/JjjwXrU0FTWj+n2s0f F5Sr/S7HMCDp7IZVB6cCcUOPRUq9NxUO/bi+47RCMKrfOhUv/Y+A0mO2Zb32 ocj68T+1+UtUkO6N6zBZDkV7iwaGWhIBjxlDh86XhaFLpRRPB9nH6kfkZSwM SR6+t+60BQcNwuF2cNF4OIZfPavZcICAWz/c5u5kU/Af3wHu1PsEBItYn6fv j8AHytp/oo/RQP2SzIG1lEh8xbYwVvqQgAfBlO9c/FHokVn1+yYfHST+NE28 dYzGkcVJAakLBBj+Per8fjEap7+Xl5aeoYO/jHJo4OUYpHEfVrQj/U6w2zxf FmPxVln7nFMU6afy95Yfj8aiFkv79qe9dAgZmx9pPBeHa++qZQ+T979U9JMy lY/HWp6R+Fwbgjyf1ao7YhLwy/GOgNED5POUW5Rq+BPRUuhQ5q39BNxnX39c xj4JlzzZ4+XI/NOmZVGAJRkzUoRUEzcToPnSNJtDRxav6p25VVg1DMuhsXsS Eg9in2SNhpLKFzg0FC6jKauBhqeuEx9nPsOdP91WRXaGKH5lMntXwQhkuW6a tVAxw5qDD8X1tQbB8Y3JsFqQNX6L/MYx/mwYECzzWX7b4LMNU921R6nwPVdd 5tmKIwaw/ffMfoEJuzUETjHXuqHRwyPb/m4ZIvvqSdNhE3eMZe1XttjFhAud EW6uo554+oO2z4/DQ2DD+qrTVsYbTY2dk+djGVBaT5G9/cQXz2/sjjtzYQh6 zZz4ytf7owpHoa/JHzIPSrz69xYFosjbGNsFaSrcyj3MtWdbCF5+7Rjhz8qA rS7Bry7Lh+JAUIKTAkGFTIU8Tlp0GCqvD5YZXiYgK64izVs8HAv6X/1cCKGB 1YXUFS1vCma+e/pHmUbAf8t7LxpwReAzfsXczWvp0FRSEzWpF4nH+tdEUB4T sOL7X6fWuSg8Z3am6NowDXiv3RzgOBCNB7UWvR0zCBCZ7cyXiIjBoFUq7dsZ NOjrLmuoFopFlh1lf6etCJhf80er2SsOHfq05fetooNTptRJSc54VJAe8VUl fYXt3bOHe+/Go5E92xd+Mn//HHfXSTJLwMnk070Du+nw8U2fQGVWIv532JXx TpP0nR09rzr3J+ETuxexi650eBBZ9+FbhAKuin7aeI86CvyJW7xLLmqhRTXr t727+8Dm++Znmwb0cFMT65KV0wi8VdgSeeScOeq/i/QMmegD6nwLc2ivFSYE Nisw6UzocuAwOq9nh/pJd9rz5/shZi64tOOVA1orPvh0JIIBUkOEQ8oBZ6Ru tm4s02fCXtZ/hZF+rshLSRU18yD7MXv4zIsFdxRzGOP/JcaE6W9rbKT0PPGY gMtJz9IhSOfSrb7X7Y3TAQ7XL48w4JbZ2xkGry/e6s8RzdhEgwf/FPle1fhj QKf817cXGLAjy+tk0c8AVCe2hLJ8pYFCUu0e1ArCR2oyN7vsafAubMho6ngw VnQvHJbQZcDOMs2kDSdD0fq7+VULNhpcarp7s1oyDL0OfHkpxyTznKeiXS0y HL3eGmm0SZLn+TGEp4qPgruDxsqtCwn4X03nHU/l//5xKyQZTVSSpIzsbK4L kZW9s1dI9p7ZI0lIFGnYLW0jDaUiKpR9zrnPMSpRGmQ0fvfn8fh9/Xcej3PO 437f7+t6Xc/nObf7NGrGZUU4kb58bDh4zJoKDysqfohWRKKd0WeF8Xhyv1Vl am00ojDrHWe1eyMVlCxG/uanR6NpVREXH8lf48G19FciMajY83pvvQANrHqZ gqoOx+KJp/ffcJOvb/oRJp3AH4errVveDbqR/kG59jTOPh5TXngeYPclQLMq qnwHUwKm/SYB6TwN1s3WyXZXJuC0AoxzHaFBXXZFebFGIppWhAZamBIwQdfX Sk9JQvHB3ZfuH6KB3DFaxgfJZGyxFhT+7//rx0KTizIgGY3fHK/9QfKP+q+B g/Ghs8C7s/+d3qlwCPT8pX7Hcx+mnpStzn48Bffs1cpk3xihs9zK92LaBHA3 nBbLrLfB4bcl+SO54zBz+8eJq08dsbUosSHhxAg8Ey/LSdV0Ru+OtSIcegz4 IznAKKhxx63B05v3c45C0qlHJj3p3pi/1f79uuVRWJPJXc/DdxgTWkRulp0h 9/9OyeELZn4ovddZq0OEAj9+jTTe/R6Al6j/nEzD6DAZvK5qUiYQlUc35Duv UECkXubReFsQSj3IbPA4SIdhx6U1Sbqh+Pd+TQkTNx2kr1wz1JMPR5PMqeiL pD+UPMoNGI6OwBTBrJCn4VQQKa/iNN0QieXDdgp7ST4tVPXax+kUhRUfLm15 UEr62Y3u/QYQg20fJR/8IftZbFnaMj4zFk/vGt/qTvJ2ZeMDdX35OPSvNiQS dpA8ur8rXiAqHqe7V+6akTxx5VhJ8axwAqqukk31J/tTTbZBYskxEWW2BtRa WJPzQfBha/MOOXzmEjk6HjkJeQ7yTGybdHFtQuvjzGsD8Pzk+/ETzRa4QTsz tk5/GObqckWvMmxR80yxIrPDOCz4DwzbRThgroao0hmbUWAK1nhgEO6CT9S8 CXcyj2v4PuXJ5HviWbE7Nmf8GCDhM7B/yM8Xa3QaGYnDdPD7duoSfckPc36/ zynhoICvgplCo2kAbqKNm2l60MHC0ntpfigQZfg8L4ntp0CJ2dCWm9uD8MNp qQUa2T+w6HLF0CIEY3ZIe106T4FCqwIcxDC0TmfZG7uBCu8cA1T5M8Nx7566 l2kPCXB998p6eU8Evv1Xbd16lgrCFXkZKX6R+EPghgiF9J3yKvWPw1bRaLbl 6eoxsv8M1olXminHYp/mVsn8EAJOBTclYEYcYnIjbYo831e4SjXTxeNxVeS6 ZRsLAtqnxxI1ghKQOUDxD4ssDbZ3a/dbWSShp/aWsdWknxDq0t5ZVBXUnjrk HFszCcKcVLodFXFeejy/8dYQGKxN8bzPZYLh3ETB9scTkCRRsFPQwBY3H9n2 ybhrHBjG05cmBp1RbkpoO22SAbYDGmdV593xY/cXufy2UZigWO+eUfXEXfuC Mrr/kfV30qJgrM8b67c/cbnFMwb8xEYrmQ2+mJwW3TxnSgdO6w2rdKr88Puq dMKyaAzOure+nk0j59s6o0V7dQo89u5/2bQmGJvCU6ePCNChZSD8DZ94CN4Q fW+ynosKLJy6WvJHQ7FHQtG+iZMOjCy+8583haFjO8fRnRVUOMaShw2HwnHl 1IfWZjrJV+UCL3y1IzFIfdXftEaSpzr2GZ1Pj0KLN7M2U51UyDXbMbBRKhpj aqUCxY6R/jOptL3APwaDJzbtyST5mXN99PMBnlh8zMhjtBgSIFjQMqp7KA4t vcLiuVhocO+uWk6xQQJ+5AgbaZejQcr+8qld6YnYtvNgeC/5/E+zqwQW9yRh gnLdze2BNDD1ymS61qWAV9cV6ok9moLlunThmwf1UMHx2UOWrEHozbd+cSLD EDN7zJxG+CfAM3ZILMvbElNh9mzblSH4KmK6Y2qVDc45vLX3zWeA9qLsvu3C jhjJps5XyjQCW4vy3tfxuOLCV9qq6AQG9C4b1nvauOPvqAWrR42j4KeX9D1k 3BOTVH42KAADfvNwZKgoeuOS7M17t5fHQGe6RCW1zRfzH7+RTvlGh77V6ree XAjAMqFI7d1n6bCnl0dvY3AQmntWMp5q0OGZoGHWsbgQ3G2jePn2CAWYMrfL jwqG4peOwNriHpLPtvGNtweEYciZCMOHvFS48HPO6KRFBEqpKRYW2FLhfAXT /vLCSBTnDt0fmkfA44x/0anyUfiHosBs3E6FxmXr5Yq4aAxZdqhLO06AlnX/ Y+7NMSjLeTXHTZ4Gqfzvo5+7xOLbgLArN8k8W397bPTGwXg8HgGFjd4E7P8p /nRMPhGVfbbN5R4gwK4hOv9adBIK39p7bosN6ev2JilaIsl4vprb6oksATWv T72puKCMRqxuhVtspiBJgZL4I9AYnXmfd9z6PAHPP62revPLBuOVKlvUnozD uyadEsVcZxQw1TzUWM2AeqachxM97njNROJ9mfoo2PFxfnl3xRt/G1c/aGCM wlCa7b2QWD/02Hfii0vLGOBH32Z/x0A8YjO08WQaBebYmfe/nghCla+6bdLk +Z1trKgatA/Ffwqdva7r6TAwUP4syiAca6k95wopBKxQVIXJxeLMDXbroSoq uJdTDztKRKJ6zeFbHecIEEs2BevgKCz+qM9GqaaCZxeTwhGbGJR23TVE7aOC 8wWNNfsN4pAvQlyaupoGM3GLCzbH47HYPq+Zi+Q3uS0feZ4oJCCwTLeAHg0o ajuzeYMTcdWvrPefyfzJ0RZ1VYySR8EuTz5PvSloZzp0cuSmLrZHWKgqtw1A MZt9OhevJZbCUxn9miEQkk/j0Oh0wIDy13HnQkaAh3ni5a/HLthjPWel9IoB nA23H71p8kSm40WZLL4MuFurrL23yBd9HtypaP1Jh63C+783RQWg6NxIFEsu Ha50NvHEsR7F/RxK/1aKKUA9GS7rdSAIISa2tXgzHVhWW5d5+4RgIFQvLNSS /K7ylr/HNgyJPpWbb5mokORNff1MMwI3C4i6sgRSwbXi+UR+YiQe1PP1ya4h 68H8wLdW32i0GRJJFysheeNU4nEu41hUlRO45RhHAM1VnVtIPR677+w1OupC gGGGzCJPagIaFf1IywYaaGiMyjF5J6H+QpJKO+kvdo0coXvjdPDy0J9of6dB 4PkodiC+zgQ/JM5X2LpNwIKQjR6/twWazT3vYIsbAVX/tZc9i23xNXWRN6Nm HObGCm+c3uWCqxvaPp1hHgeDaGGnE16e6Jh2UGu3AQNYeMoUJpa8kbZQ3Ls7 bgwqRKNM0rR98Y69d//tC3RQFe235n/jh5zWwXSB62MwP8Q7EXo9EH9pv98w JkaBhA9+ZN2FYAXn/ftMjymw2W3qfW5qKEoVxrsuz5D8dNQimC4VhgkjI+Wt RlSQlIl/QAkJx1+Wr6gbBgkgyq3EI6wj0UbC+JB1MwHFS3tpv7SjcS2fdlpw AcmXTP7cd5NiMIbzLJfdVyq8T1a7qhMSh/c/7ttrxUUDTYvjrH5OCXio23p2 VoIGbC6XIqs1k3Cna/4IkwMNeLOnL4lvV/rvO3+a/ocpoOiP3SqTMcJlyVBn j7IJUPji2MHaYok810McRGyGoeu1RlW/ow2qO1tGaIiPg+ejMU/WcEfMn6sP MuAZgXyOu5nZSe4YJuFiTZUeha4xw13reLzwmgNLXscCHSaecUrwu3jj5vzg kR12Y9At/Utu8IMvihp82H/sLR1y52XDuroCMGNfzcC+U3QIW9dg96IkCO1v 0Y+MknymvqIinL83FK/o7z7o94OAsywWd5qSw/C4w9W314EK7emsHY7eEXiV 70NfugMVYqadB8T1ozAokjPH/TIVmqrdWY/lk/NJJ/nYjRgCcvPiWY5LxuBj YlQdWUlfPyXtnRoai38dO4tPRZP8wJF8Rd8jHkUX1o++8SGAe9uGKFP9RLyx r4+TYU5AqOCGGafjSdjYk2Ab4UODhrrw3FP7klHbyOH3Xg0CRrw4JQdJXvZP kxPlAQLCqmMV9198CslKg9fPyK+FZJqLI8/CTlROVbiw7t0YvKBu0mYpV8LR QaMTAvQpEHbZYZOVq40t38WdiyJI3uz79Pr8rv2oscf3/vqqYVj6YiV5OtAI C/5KFh9qnYB1tX+WnZzNcDOzYWHKEAEiOkMVxLAlEgW5F5eahkHV84NSaYwN msRLONtakfVvcSbz/mc7HOBxvqdnTgdTzZPhYoWOKPXSsO6KwggkvLpB/7HG GT3y5q1d5+lANW0pN49zxb4PhxjSNHJ/fDJjf59wRxYjFSvlDaNgsIaJZVWn B6oJaP+71ET2c3N8zfw2L2SnddmxvKODmq5Vpl+gN/o46y3ckxwDT/lYPd5q H5zhfWNyawMBVOH9r51/+WLcy1f77droIBnupkxV9EO2W5N3mhMpoPE2oeVA rj92tZ/mnIihATfHfKziSADm/t5452UWHa5WtW2y3hCILCZOflKkz11AyRRB v6NIcVH1754m80lGSvpUdRDu0s/5+pZcb+TGi3/MKMFYxji6v8KDBm6JLq8d z4Sg2uNjlknk6wMvF3KL7wtFt6cF5Xp/CRjteekwRQtF/lbF3OvDNJD0udp+ OIvkpfM+Wv9dT0yXVd3CKhaOytVb9tXcJ3ly6fRIaE84amtxnDfZQfrDjJZ6 85EI7OyIYOZ1p8LiIZFrOzkiMWPDnls3vAhI73qX6XEjEk2eqLjWOxEQEyhv 3mwahVbc/Eq95VQoWuueNLEQhW59InR1hf+ubxs6+PF0NHLmZ/q+Cib5QDhP jlchBkup9ytk50ne8uaPWz0ag6qmwwcUvtFAlaJ9a1tsLNbev853JZyALqej i7vE4rArcujZdRUyL/SNnL++isPYB9ukVz2lwQavnut9fvGocK8mqYyc/wLH dvrlrEvAQgG3JadoMj+eP30icDMBr5SYCR/Lo0Fx9nmZV6aJuL7icWenJXk8 xiYslvOJSCnu7tpKvp89XHg2V5iEPWU6phZBNPBbcvu+rJ6Mw/M3xZ21CGjQ /t26qLUBrSWvH/h24BWUrkoOHC2Twae/Z5u/9EzAjZPHCuqK1DAyb/TFWqcJ CDC/P1VxRwenxJXXKrANgsV17sTXnQaYbRPaSq2lg4AT40HVuAn2FoivEZOZ gGc16f+2p1vg7qeGI/kLw5C/WFJfImGNu09xVjHbErDNY0zh4U1b7OWn9H0+ MQ7HjhprGYIDFpr5H43bOAZWF2K27nrjhPJr57drxFPh3nqrDU26Ltiupz8X yjIOT28JZSe9ckMzh6BJsTAqiD6w/Ggi5YF8YaPTn2hj0BUi2ZMT7onWxl+v utszIPFUqrJzhxeu0eJg8BfQoEgrgjeL0wclLz51k705BoUay3u8zHxxdF1Z qm0zHTpNiat+pw/jsRvFV8GRgOkbTqHbaX5Y8Tn0e/XLMdiYbNMSoBCATGIs AcyadLgw/CGMJ/oImuzrpHrnk/uXyRvo9TAQ670FNydKUuCF/pk3dPYgLDlG lzvfQsDD6gjQ0AlG/2Mlagd7Sb/sqVLerBeCXxLSanOvU+CA1aPUXVMh+CI7 WPC/z0cf/tsZnJcbisqVe1yzqQRoeL2saFMMw7grH+79kaeCX54a27n3YfiT pXjqxWca5FB/cvXGhGPOqbvSR9+Q812deH5uawQ2S7/Q2vGUnH++C5w2zRGo LvlM6dshGiw4c0o6HorEL/svtkSS88/dxZjpx59I3LuWYSTrTYOHmQNRkxej kNVS44jsFhrcby68FGgQjf9G/wwZFhMw8CDWhj4ejXvU0hvfkP1KzXWevJQZ gw2oPTv4mwqpnsFSSxKx+OC2YXefL7n/Xt38da9jUfP2ZVE9PgIeCPqr74iJ Q2+FrNEwfhpwlfSdNRCKx4QZ75YIfQLMNDLPPWuLRxxLEyPI/pad9rcc9EhA bwv+8TBJGij6x5wY/JuAoZIfihq2ESB6O7VO7GIienpIHkojz9919rYY9v1J yEm/x/PCigayaTqf8GMSRu4K601nJtebU1uTpZWMk2+Lhw5ok+tZU0phGWXD IreMnQf/3IXjYV8YPw9I4JdTQblGzAzQuG9y+P1mFXw5cbHeWmgK/vz1ejmX gKhfFtQc3U/mP65U34vWxyBO5ot2rlTIqTr7Y2udMV73POzRRZ8A0zjWxIO3 zHGPv0KdgysFhsrvX25NscK9uc8LzLvH4Aqdrii10RaDxFft+t45Dqq0OXry aXts877f+lmGBmZfWF9WyTlhO9Hs6NU3CqVfmVZsa51xtLJfYO4J6U/JAes+ iLqh5LrCoMUyMn/4ZuSqxtzxSX2B9wPPUeDUPn34gLAnTq+RWxlrp8P1Xclf 6kK9MGXqU4DZFAFTMN4V3eKNDs/Vdnl+HoW4e2rKzUs+yHvju/Ndbjq821fY 5mlwGD1abr7hlyB5gp/Sn5Tjh8H9E5Q1VWNQV+un7kj1x8/D7Dl1haS/hAQt XNhzBJ9xvvc/RD7f87SvziH/QJwyP37Y0JMCik/d6xLvH8XFoyZdI8IECE+/ 2ef7IwhTryjH/5WlA15tcaIJhKCrbtCvKWMq9B/Or3v0MATrb6wZO0n6ULHl qNawWyjGbFPjjuKnw/FSw5Xe1WEo9VeKR4JKhZeLYV4p18NQaOn6vxiS1/Zl bVofYBaOOsXEJgZBAJtQ61v2+XD8oUzZaxxKA3eJsxczCyPwkM/Re3oPSL5x Lj6iLR+J2+tflUxWEfC96KRew0AkrnT6wDA7yUdLrF7m0VHI/C/DsLeRCtVe sQV1wtGIcgX/nocSoG0s0TvxIBo/KD28t0aJgAKbn1yOzjGofuPrd1PSZwy8 HlulsMTi+WGj7GYVAqQurGIwLsfiy9oVNSNTMt/Vj5TtNItDvepFJ65VNLg0 e2JF6EccWrMr7n++mQCFNxLVJkXx+Ci79QVxkICdd587y6knYIdLJ/xTp8HF zed3Lw4moMJN/pE34zQYqSj4/CsqEU8vvaJnmpHzb09625WtSSjrWac2nkAD PfrcQGlbEvpf2Hjn6E0aWHVzrBDz8lgakSabHT8Fg5Vcq0xmdDFFfzp14scA BGwVtpnaYoif1cLzm8+PQy2vZKb09oPYNL1R2oysR8+CLBSUtcQjypFXGouH wMAm6kZorzU2KTqKKwgx4CQxIG9pZodNHdyDztcY8HLlcinfJwe8sGXqjabq CNhZzYZUHz2EwiJm3u53CHincnmvENUFuW6sYgq5yYCxsMm/XOrumFhd2hkg OwYxh+9X/oj1QBkdUYGdm2iQd/mRQvdLT+ygPs8vO8QA0z8ZSbyC3uS8GjDK TaYAaKyyKbHzwa6gmYXL2lRoeNyyZe1lX4zguy2y+RcdHnrJlAdNHEbW62z/ ln5SwdhsiOexkj8e//b9DfswBVLsUD0hMwAVLp8XYy6iw2ddj6/xHUewzeri 48obNOiJaio5sv4oDrSLaLc9pIDTy54FfbsgfOboNy+3mw7GX/PXmR8NwZgU bob5PQq0as45H18bipZbuqtjbhDw8VrgBbgbitwsuup3SJ74vNcQ613C8HeX zB0vFiqwizBV3/kdhpPK2wQpJN9Q9vWzqF4OxwG/i9d1cgjIc1rVJrc/AtPo i8M17v9dP2kVsoOIQKObocqi3AREuSR8DM+IxKzojx2zFQS8Fl/VprErCq9I 3rFTpFGBsb4+N747CqMPb4xtaKVBJ+/VO3JB0bjaOcpVuoiAINmuQQpXDHIy Zzr/d39O6SfPHs00xqCK8blDVF8aPPYQZgu1jEW3Kzdfbk0ggFe8SOfoUiyq +P3VcqukgdKS76jwpTisinSffmxPgzDtzephOvG4+VtR6X/f9wbWMk5pfYzH yMrNbE+GSD/dvtYgKScBHT696400pEFHi9WPe7sSkbX9S8ESyf9TE/OKHkeS UKF6x5GXB2mwZVfhysd1pC8oT2XkiRPgavmK6bV2Mq64GfLcJ/NeuuaNyOaN C+DsXKiWM3gKVkmIn2euFMfqDt9bZYYEMJvc7Ps8vA8PFlL7hyqnIO9aRJhS O+B5l8a9tN+j8KRzgceRyxhHyrn7W6cnoLGASdOGwxyDvK4o1iTS4PeXFyKv 91rhqMmVq4EbR+HbRe879Oc2yCl9VDWtahxMT3dWeNMd8eCfgTt7B0Yg18Xh S5WjM6bqeO8mjjBAWEPN1uKuO/Id2i+kyT8KdVVdSjU/PNBxqxycMKLDi+BE 4zcHvJBH+V7KzsN04H1ydk9IkTdahvrdcvg0Cl/ChzW93/hg7cXi4skSAhwl P3fQhA+jWk1LxK8EOjjpCmdcd/XDQxdMOqx/jMG31rA4izv+uJG3/w2fJAE3 W+VVA5jJ/J5s73vkQQeObeukB7UD0Vy80j6ykwJmeX8a47uD8M9LhstpQzok nesIfMoagg4KUUd3vqLCsWXl6mTjUNxw56reBB8dFG9zSo79DMUne+UYA7Y0 WL7OW/TzbBhWT/Uxp9ZR4fih3WeU1cKxoYzvzdF+An5zzcxuT47AnUaZYY/T qKDq7MQtvzUSpbc31CmQ9c15W8iRzTMKGVzfFEbOUqG8KTDrOVc05rTceT1r Q4C/2uNtSgdiUHP2Fzv7CBXqxv18O77EIDWKufmQILk+bVHjY/mxGKAtoO9L 9k+m8cxLMbU4nH/Kdn2IzA+xshUJ3qR4rFGpmYpwJqBCKJLhLJ6AeSY/ey3I elcu2nyC7pGIqxU3SWy1JsC5+YPbX84k1OW+4O1YQYODBS979tclYeankJRm kt8Lai87HL4oh4WHr3Yad0/CxV9EZISFLoqUjz1dKh8AV5/TfiNhB9BQzuSu VwsDaEqZF/1STFEkV2Wu8vg4FG5hv1A+bIEnUjQ/qP0agoCaTOn0RGucrZf/ vHU/HQYuON7iYLLDDfqCD0BuHKqUfgVIFzvgL7uD605/H4Fn1csi/gUuuLfH f/TEZ7K+fGN3TPK64/KW5FO2+yggzTX/T/K8J6Y1+NfOk/XncyB9ZN9XL3T0 okh9i6GC/4MHN/NlfXDVaszZ7kMB4SQn0aYYX5TOFDLX+UAHoWTBx19X+2N2 tN7sUxUKvAowjgt3DsAMwRJH63DSZ/96pXz4GIgfLopu/+lMAf4shfEimSAc 9y0aCF4kIJtaJqboEIIBBpPJIhVkvr4YDB5aCsHOtCWDi1Fk/tu95JiqDEVJ 3Ujhy9cJKDLkDL5tGIaX+1o28qwm62Og/N3uT2HIrud26p0MAYpcE5ls+eF4 rjiGZ/UtAgK6vuv4ykXgpNTKwrFMKii76Ob4hkSiazlJvTcJ2Nxe63qGPwov 7LNm+iZE5pd35RUzp2gM4VXl+e9+ZaILO0rcfkUjIbzG5F8RDVbVFPS9OBeD /vabS3KlaCDKeL75rlYsjniMOmyMJH302Y16rolYNLmmd5ag0iBm9UcukRNx +HAq5bQ9yXPa0xEBY3vj8b6TZuIE6Ud301tfNUQm4NST7zCtSObHKR88sC4R ue1d72TIkTwX6Thw2z4JzR84fvE3ocGud/7fi/8k4ecNxlOSGwngf3Bv98c5 KXwSGPuTP2scIndOrTy0VUWlM7tODtlOgmLtCfsXAjqowcpbjNuHwDJZe4jQ N8FnJYMWtIsT8FOe1e2yjAVGN/CWvogdBe8dbrcjvGzR3uPtVp72cXCuqeD1 nrZHiuQ5q4xsCtSl1HNwzDtj0ck07rKfDIiaOs+9yOqBJf9aF+yZxyBg0O3s R0NPXHQVjNUSZkDbQ6mjyXRv7PtcPzlLzmv2pTJZHjFf1FNVDTgQTIcW4pyo +R0/rNmRmXDz9Bi4Fbkue3AGoKHRW+qTr6QvrG21oxUF4pdk08D10hT4cuBS i4VQMDIZlBUlcdCBpe2G4creEGQ52Xeh8xMFGuqSBxQiQ3GH9aNrmkx0GE/M 7n4hHIYCc0MJVXFUoN1adbLCKxzLL3dXhNAIEG/oMenljEBBwi1+cR0Nmpxf d5kYRKL5nbQSvEvOC5wNPJsXhXkvPdOfjlHhOk9mWa5CNEZfPULHLALuB+9Z TAyNwaoPaxSNSP6cYGwGrU2xKNX8gs5qRQCT5LS/qFccbixK3HiAlQYDOnKv GtnJeSfGJuhB7i+uchDJrotHY31z5kk1AurNBQZZzRJwpa2opue/+0/UrTbm yUvEg4Luvkf2E1B8RmSLo1wS/qZ67irwosGmb0cqnIwVcWExgc48NAU8hkrF O7L1sK/0flb230GI6q+B788MkcqkcmzcZALkVq2mn063xNOcYU0pQ0MgyuKr 4LbLBhujxZozuxkw027x/KeWI05n5L8ZIX3e4cruc5MPDuGLRYOmfe50YHSa qL+ScsXihlA2VtK3S5Mtx+S83fHK1dC/pyLI+aOZ63P0hyceM2KqerGbQeZ/ lugnXW9c736DKevuGCizbtno2eOLQ/PSNVkf6aAW/L7o2xo/7DlqGjUhSQUV XeXl9MYA9C9I8mwqo0PBr4prt2aOoNO4gK3VHyrs+cp99avWUbzCVW+TcoAK l1f7cy0mBqGNwE3LZjIPeZjSmY6khmDpu61DJb8osHCT01h7RyiyylRvt6MQ oLc+m78yLAzzRfTF2ISpMODvFanDF45TG+sf7yL95er0ZtUV+whcVPiq1GhN hXsu9w6knI3E3LXRBmrHCMg47rmFUI3C8t5SncN3SD9paWpblxqN8vtXzjhn ENDiFyboLByD2QnmnbnCNHClR85J+8Ri7w+hs5fiybzLihp+wxOHgnfmVa1I XqopbF7NaUvyfFAR84APAXEUvrVxf+LR/ezjdUtVNHjS7PrYsiIBX7YeLLhG Pv/kONSIqyWiPOtIgIYJWV82had4kpNw4I/X9nJHGvBHtbBp7UlGpd7Yb8dJ /3DeR9kbCsnYfvDunxmSf0ZGtGsh5yOwnIgwil/xhYkN3py/1PdhVbOXiU7n FLiMVW2NbjXC7KsXNARHJmAjS83PB5U2+IT9Iu3TsXHo9rua/azZEY3OioTt ixmB1A1sft0Kzsh1qFwmSIkBhm/dDtdcdMfLrSPCCxyjUJUSZT+T7I1HZ0PZ H5H5UF612Vh4zWG8/o/W9q6SDu0jD10MjPyQ5fTVjpvyFHD1WD/8ejYAdbq/ uqpE02GEOLzjtEQgbr8i8Ex5LRV8XYqD2JuD0JdxtfioGR0WXk8M9UEo7jEK 1Xyzmg73OmSHy2XCcavrcU3dFwR0rmwoDoyMQI/k9f7bgqkg4Nzm3MAfiR3t Z9uORxPwmFf8nat9FEronJ/pLKXCeynx2ouaMRjd0gwwSYX5E3J/X6fFYpeu lkZsIAF1fVfdq2Xi8PDTb72Ju2iwNcl7JiQ8HtWv2z7x8CDA6aDprvCtCWj0 cfflVm8aTKwddbGzT0TRaTsHBZIXDkmO89h+kcXQD5a/6uwmIWOnqUwOiy5a TU3oMzcPgLRHhzn1ugVavt0resJ7GJaYzn1nDNniv7D042u8x2Fdr4hNi78D +q9vqbOPGYWHzjVnC/xdsCH44LusFQbEtZ30Hcn2xBM22WlmvgwYcm6oPuHl iwdnpxmL/XRI3dxSmvXTDxV1Kpf3LY3BXIS5UPCBAFQ6HPU63okO+u3NUdX9 gdh+ifEgQIsCgVPewy1CQShwJdJBa5TMS7vKvdUHQ9DYkPIm7gIFPtj6Zapq h6El6yU3e0EquEbMvAxICyffT2PcpJ08H6n+bCniEahit9tM4hIVNrlUD9N8 IvEa1+s/8/cI0OAVrHWxiMbzcp/1gs78d7+zczsGFWOxhW/sa18Q6dun6i5d SI3DPxO8E1JkP4k9vpzKLxaPg0/YlCxInw27X8jz5EgCqtf7/GjdSwNN7eO7 KQeT8O/DkiQG6QMOs6XyXfdUMHS6qzDn0SQI9C/yjnUhlj+n1dt8HILZUzOT fxeMMcqtNSTv5QRkpVz4Ya5pi+ZX+dkuvxqHC6q2KTKvnbHdf//mXhoDLsR3 CJvNuaP/hq+fhOpHoSl3malU0ROZe5wEy3/SyfnKUb7S443lffw+pavG4PHg p1vjPL6Ytv30wWdIB9FYzZWp835ohQMbyorH4GQvn2lFUiA2DOl/bUUKsAuq xYyyB6Ob39sz5dvocEnpruXRnSGo5TATvbSRCtsT93JlBoRi98OtFNY1dFA5 /nHcdEMYKu862R5YTwWubTy9rI7hKGm4WYadQUCps/yWDo1IPLn+qf9Jkp8m yhc//EyJQr4inhL1Z1SQaP5XXLYnGl/EioykJRKw0zM/5bNvDC6zbnKgvqfC hp0zhm7csVjnwJ8Wq0/y0K0G5ssOcTgxMGcmykID39SvgkL7E/Dwl6RbYQqk D+7sEUpLScSCXkc9EWMC2N2tAlPFk7D3xqYljWAa3KGqdW+7oICrzjbHadyZ gh/hlabK6np4e1MUqngPwlw0wygwxBDZ0pd1Lv8eh5fGLwsGHS2RK0EtfObi EChJfQnxW7HG7wZsyZ4xDHByi7uRut4RZzqaul9zjMDIsV+3v7O54tUE6gf2 bAaox56b3Wbujn+fGNzPeDEKmnNi3Vupnsjh6Oo5r88AGMq0+L3XG/m1370/ s54Cc/SAUpUmXzT/KzBe8IMOzqYaZ4+dC0D21R6jqeQ8+ud3jml7QBDKfl/r tk+VDlejc1ZTokMwOWTVL5U+CjhEJ/R7bw7FstBTdV/I/Dkj8nGPmF8Yvo8K XmDlJn3lUv7yRrMI5DCv5/tjR4USF8HS5ZORmJKh9lGzgACJYcWZtbJRyHXc +XnKCyqY+Sg074iJRkVDepj5CQI2mJ5fLN8Qg11i+zg5VGmQv8N42exQLL5t +yX53/1P8vw+7tAyicfHrn9stnkTIGne2R0km4jMM6m8UgYEhG99xlCJTEKe +WcvTljRoOSgOFPRtmRUThfl5iT5WTjlbzkRo4yLq3Xm7HymYNd9Q2YNR2O8 rcR7XXd2Al7r7Ixg/2KDxWuMZiYfkH5SczUi8Zgzvh6clZY9x4Cf1ev0ll+6 4+q1rDIPZEchnunR0o8ab3xXNeRP0Efhe33i1U0RfnhswHTr26djoOT4QFnQ JhDLS/hkRQsooNzq+2OOFoSU9D/MXtp04BLPCZW2DUWg3FMJXU8H92/Ctm/1 wvFD5d9vTGMEyAg9PdCfHYG39pwdLa+ggoPzr9b74pG4oDE84knyu5UdL7U+ MArb/Hp4Z8n8+WPgVPzcMgZXKjcXXe+ngne7lHyVXhz2SWXeX1pDA8k7hYev ZcfjL6nS3GmSz4kPFZUGcgm4Xk6xyM6ABtkCNg8CAxPRWqjrZK4lAXPN7yWq TORxzqTwu4DMFDx4Fdnmdl4Xn7b7zL1tHIDl9wZzTmyWyLK2Vt/h5hAol/ak nH/ogEaKodMbs0ag+4tZrc59F7xWsq33UR8DxuycyuJve6KzzKG1jn4M8K7k qmSc8EWfuY21f77TocZdfyQ6NADl7x3Zr5lJhwvqPHkSfwMxaVaqwZ3k87u7 mWYDdYOwxerFiRF+Okz7Fm954hmCa/7WjsZW/ff5V529jHUYStzz8HRnpkLc uoRkE/UI3HPRmqkghAp2LjTV2bhI5LWy3cpfT4B+y65G8I7G7KMKF0dKyPVe /L626EAsFqq+tcuKJcBhg4FVrUo8HpnncRAkfXnRciK7ODkBrz9+doDQJPP3 2u6MXI8kTNmnf9GT9BfzeNHKW746GLFtyfxcwiDcDSzoai82wYS1PTeUgybA eUbvhoejBa7Z2j9+o34EdJ5sCy/LtUXk5Zf3ujYO17v+nKBtccFx8yme3Uzj ICTWoajm6om6WbknDwAD9vw112ad90b72Yh/Kf5jYCpkfFVVzRez29cxLp2h g5XhitH9Tj+UkZIRVKodg2kjH48d9YHI3Xnt9mUxCnjrN0COKnm+WqIvbX1B AaV3vZdoyaH4vnZsyOobASdD9tzVlQhDt/KWHeesqHDH8I+pSlA4tnktbVQc Jsh5eySuzyISd7yYMZ1sIn3Um/t8vGY0+nXuj6LlE2CS2B7ElxCD26RezLh8 pgL1okTfxaNxuMhY4gvkpMHMVp3iWfsETCpt098hSYMdb750yqonIcV15SOn Ew2iWM8HnfmpiC50Tad3U1PwW+bIvhhBI1S2iFQfPD4BpY+M5G1uWKJepIjn beVh4B2m/LA1t0HpL2cbWzaOQ5L4boqvnyNyuEVq1a0agYUMjld6se74ZHu/ q47qKJzP+fq3jdMLfwotNWUxM2B3fvbP9/beuC32pfTWw2MQL/bqVB7DF1/r 0PTkB+iwXlXeKacjADPV7py/XkQHwwblDb2ngvCeZV5uhSkdimaKH2+WCsX5 ZKVjR0mf+7pqz7JgYhhKZdIY/1So8FDhYiThEYG5on34lMxDutYp41u6UWiQ O/Brdw0V7PmgnTUvGlW+3XoUTvKze4aB+pY9MXj4dtcrA/J8yVy8OMUVHIts QzIPz8WQPPcg91ufazwuP7dOZPEl4Ef0vWSqbiIO8LkKbzEnIP+4O05mJ6Go eLjaO08a5J03W/1BIRnB+lXRX9K/nHb7PmsnefkrXTOXAwhQ2b/tTkEoBSZt yt9Jch2AgVitywmflfDA91eOPoNTcGUyfid7sRFuikguSeiegN23nhdL5tmg fUa5/HLAOOT1bUv6We2IAj0Zq/WtRoAiFB7Se8Yd7zx6ttZnDelLHhNBklHe mMQ8flF+wxjsU0qXYJ4IwM8tFxZEjtHhe4dbj8mNIJzY3Mh8w5wO8s2tYQnq oci8/0BMCRsdupcVl80lwrH3TrES7REBchESHwpDIvB8du1Dqi8Vtj68ws9t FYU6fErBXGepsGbX8BEHlRgcu9XBVzVDhTN3VRyikmLxx/CpMxYhJC/Mlfbs CIpHh5sHovd5EaD5SvM5n1UiOlMeEtdIn41uTsktGtVBsevTVd1DA7DIWr07 ucwC+X8empOuHwZ11QR7MTsXvLGi0byD7E/RzRRBhSRPnDtcFvzPjQFKplaH Fx188drch8j8FySve3Fl9H/yQy1N7nAh2hjIVHmHsnUGYuP9o872CqS/8Ysq uBqG4JPuUVaZGgqcchZYt6Iahl+4rVyrxKjAThlIKXePRGpvmNgZst9iJ96L +ZhE42LHZM1/10MF6GaIf5SJRWb7vD2rjxDQ8D77i3tiHNqe7L/pvJkGby3+ ynb7JuAnixH7ZikaRIqKvf1mmISvZK0XOSxooHHu6cyJN8b4USfHmzYwAWXy T4ra9tjinrgBvX3d47B1g5R2e4szJkpJtzCR+X3OLfK22jNvNBC6qRi0MAp2 HXkfFIrJ9eUIFOqeHYOY260Gv8MDUaxEoXTWnAJOh9mqZH1CsWa77KYuHjqI WK37fs86HHV+0YnPdNIXxzyfpihHYjPHCHVzAwHaJkm7LiVE4cCw4/rRZio4 HtIxuORB+koE2MeQ80xhIfegl3UcPuz+WrOBlQbPthzS2AUJWPs17oSLMg3S CZk0rYRE3GF44lmSKQHp7y94/TNWwJMUJe/Es1Mwufp9Ha7Xw4smTFOF4oNQ MlvrF7PfEl/5Z4WuLxmCgr28VUZ/HXCGeLEgunUEJozCkiP6PRFkZbholgww 7V3ndOmaL26xqeswWKBDUK9WwN+CAPT6wxa3hszfa6V34hXcg7AS7l9BOTok KHLzlISFYKytjAHXUwro7C69M+UZhg6KGRt3slOh+G/noZ1GEdgb8esUxyEq 5Kl/VZYIj8Yd9sHOqSQv1eko/XOzi8UrZRFvb5H8c6z/3zV7g3jkGHypcM2T 9Hkml+OmIUlobf3DhTAn+7398AurP8ugVLVud0ncReCbGlTxlVBGIf3zdrfS pyD88XbOLnljPPJ8vvwJyTvEN70NESM2mFa0zCF8axyy53aZ7nrkjvufia1Q to1CByHNr1Dhjffn1ooljI+C+EJPqae/Hzrr0KNqhsegfaeClfJAEPbVOeqv 2k8HAz73NQPmobjAESP1YB0dosR3RqVph+OXsxQP6SHyeNlOb7E/HIXnxu+1 7jpPBUVc65hoGoMnbs2aaQ5QIYKdO9FbOw5NJt0DZvloQLy/K7b7cCJORC3b ppL9ed3jimBAtC4yfkDw5wsD8DxG/OXKFwuce/P9t8qbIQj09YzyqXfAhvCu HK/mETDsEvN+f9kFP2QyN2sSDEhvrDXtr/PEFb+wGLMjDHicf8v9YJovqgby cKz/QoemyQMN874BGEPJOJaTSD4W3SwS5xKC31TMZ2IqKfBJx2F87mAY3j+S HLuDjQphQfcJh30RWPegbeFVHBUMKHz0+shIZJo7yHb+GgFpJxl7D7hFY1Kd xdkR0v+42sfWVenGYqA728Ec0s9Nk12oTxTicd5ii5S0IwF2n80bKuMSUCGp poiH5N+CU4/3VjonIR4P2iNA8oUOv8PKA9DBfu/7QrSXg2Adqr2eI9oWxfJe +G5uHgfpmn7jcE4XZG9eF5hN+nJ74roPBdae+BO0no/KMiCz2ESZ9ZEfNtVf 2n6kfAz6pficj50PRJPY4t6b4iQPMO/dr6sYgoniYXtUBykQ/LBOMycuFK9v nLY2XCKgK5E5aNovHL0qryl1kHz6cqxc9KRJJG5OPq0feZ+AULXOLWkq0Zhx /+Fp2+MEpERFKr6IikG/fj4x3QkqfJlcLezpF4d8ikfWHFpFA+N7V+8uWiWg vM+jF5vJfHK6nRW2f18SVu7Kup7hSgODZTb22EpFTPlTEMXJmAJV5hz1fV8N cUBJyOnN0Qnw9pRYPV9miSbhv9xfswzDnZ+tvXutHVGcBRdNl4fheepV65Yg d0y3sGxMsh6FayLZx90OeiN1Sl1GL28MhtaHW/8a9MXy6OlnOgQddrUpSnK0 BmA5B9uzWLKfF4bNT05kBaG/rtQjNKJDGfdQxlh0GJ6JTrLgkiT5KH9sYNY5 Ar1eRZYG2VDh9sSSQqdWFB4Iq71Rd5WshyfHP28JiMXSPbSz/12vemf3pcRZ x3h0i/B5so2c30/2rhSyaCdimFechNVBAnpyVOJGpb/Bec9C3aMeyfDjRu7R 0Nx96GoeFtl0bwp4+3s2fmQYobeoXLXMxATcyjB1jb/ijr2vneKmV4+C40VO vJ7jjb94X7CH/RiFkZ8veZ+0B+EGMZMmHpJXHkysBQn9ULwavIN/ei0dvD0u lNx0jsKiDM0nvGVUqFQIZ0zrxGBbodxJThoVLqyRW/M4Jh611q++LOJG8oVF 7Pw550TsfZCxyt6agKITm/qSJHRRzaBVdlX1ALg/nIzWemaBJie/7NoqMQy6 KW8pvxNc0PmI4/n6nwzo89K9nVrkiVSrz0EmAQyIO8oyIRrkiwoP6vbkUUkf JXgSDKiBaGq/wF1jQvrm2a0SM1YhuMqrsT+yggJa5k3LkXphKKPpAaJ8VBCn hMvvPBKJjxZ1ThXfIeCvmrOEnW00fv3BKbCL9KP1wrtn74YkYOjZT6ti5GjA 4vQ96aUVyUeaQ+IOpjSozN5ICxY2QaOsrxqUexMQ1ZtszTC3xamDCp+1X46D mEvys7N0Z1Totep1+swAjsqy9LZBb8wN+1z8SmAMvkjP8Jyr90O3Dcpv1xeN Qc1XH0vtnEDUTbtu8kyJAhOFdiFjwaE4Pp0guoedDvMfVjdauIbjJ9aSPnly /tWN/Qvj1IlE/y39Zw1vETDrN/pAKTAG71NzeeKHqcAX1HWX4RKHU0LdoYos NOD4lLbIY5SAlSeKJnRkaTDxoU9Jc14B44tvNra9JHm59mOTcrAlFoZHNIg0 DYHoqcmW1j2O2N0tfMB5ZRgKv7cPdLf74iq1H6NLZN4ZvVDtYqkJwMqfZUO+ Z+lgqZaasSYiCKtreZtXAx1mBVUrPI6G4SZnjpA/66lQZWBdxmkdgdK5Z/bl kvUexew+r+UeizduL0lHkvPp7J+3p0Ut4jFwj9UOKR8CBq+FLl85ZowJk1dT 9D5NQNsplnelzLbIl8D+fPDZOLge+qf2ps8dp3UOcD8wGAU5EUvG3UZv3N85 Fp0+MQoPXfY+7kryw5suTZ+mb47BW41bg6lOoag1XbTMSvqyyQMhpW1G4Xhd jtLzkUrAQm3Ohd+hUVjz/uZuiXoqPD9Y+4bXnsyflzJXXPuoYJNkMjluGIfq Cw1yLCRfKxz6bn0rNBHfTLlKKFsQ0LkPPWw7dLHRooDtePcAyCgeFmgRtMRG 5vZTryqG4G+n6onBfgdUrhk1/HloBJT+cE/tfOiJIidCI4S8GMDe6EmJLvXF 8aaHu//Nk34wqsu1HB+Av/NqrvqcoIPQFf7NnH4hmLqp55nQVQqcVlp8dcSB 5IEsdcVuJiqk3kNhbYjAr9EmHgOHqcAx6aeg6h+NTk+nThufJv0rhXN1qmks Vg+d3M5D+oJwZ/5YpG8S2pwxzjQk69l5cka37oQOcrte6PykPgiy/H/6pM7b 4mO9P2Er58dB4evuXhNZF3zcqJUXwTIOYV3Rx+h+nlgpylURZcoA4d8NLkfe +WGP012N5btjwOTX4tt+OxB3cbL++LiLAsU5uzXeaoVgpfzkxexmClSuX5JK Dw9Hll+u1x++I+DjmFrfRrtIfHUviLegmYD5fHORCJ1odG+Kmh49RUC3i1Em PSwOwzSD+iO5aXAi7X0YwzkBJQXWRk9L0KCOW2XwrpESfls8MxtA+p+BQ+HH ykRHHNrGuu69wAiI53jq9qS54yshFvc/oqPAdFsmd83bALwRcODDoXw6nIvb VtZ2LgjZO8r2vDajw/MBnw39vhHY3vXJr8GJCjxn9nieOxCFZr2GWdMXqLAp 5T59KTwWTarYVwKiyOOzDPdp8opHmX/PatLJ+hVvDw1sOZCIXIGGa06T9eF0 oeHkZ9Kf3iY23N1A+tP/fu+b6f///vf7xv97/H/sGFxD "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl2Xf8TuUfx/GvKCkreyaE7GSP7C1770h2ZO9RMiKbEqFQSCgZZZcWKTur QrJXS4vq9/z4/XEe53q9X5/PdR/39z7nXFfl7Ny3SZ+7EhISEjk+Svr/886k /x8XN97hfC5JQsKVexISTil8zLiM8UsKG+IliRMSVtydkLBbbWHZT45qsjqy p2WvOG45tssfkGeUP4Z/NM9l83xvjmLGpY2nqJljPN+4gfwN9cvVf6H+NXwD 38SF1N1wVMW1cRe+A86pZqBsuOxl2WC8G+/Df+NtalLjDLgYPuuzLvms79Q9 alzKeLKa2cavGteXP+Lf/7qet/R8rmcF3szv5BfwNfF1/je+oN4RuBPfjb+O 78dV+Fr8U/q/5g5zW/U251Lh9Li92uHGY40f4gboGaZnrp5B+Av8Nf4Lb1Wb CqfHj+LPHAVk1xyV5TXlnWVb9KU0ZzpztuOGGY8xziHP7LP7qx2qdk58v3g5 v5ofyJfCn/Nf8X/yfXFdvhG/xVy3nVPy6fii8fflf+Avyr/V3wUXxSXxi+pn Gc8zfoJbrO9NfZ/qm4+v4V9xfnVXHZVwDdyJb4sfVNNPNkQ2W/aHY7M8hSyt rAg+qaaIzyjhMyZx9fAifhn/Cf8ht4N7VV7DtV3lfuEeie8dP8l35a/g+3BF vjr/pN71+Cv+EL9ZfzOcAqfFbdRPxEPxaJydz4Sf1T9Y/yz9b3HvcAO4z+R7 5b/L68gbyj80R3J5Gnlh+Ql1hbni3ESuLl7IL+V38flklx2Py6rJOsa/T01y PWn0tOay4b78IH4m/ya3iusv/1T+pfymvI9rrc014D7Qd8v5fv6BuM/inuHP 8Bfkx/U+hQvhx/AE9TPxTPwKrsPnw6/pX6L/Y/0fcNu5eVx17gr3M5dXb0fu ae6ScQV5VXmH6FF7P/cA14rLivvwA/kZ/G+OTfF3kqWO+w6Px7XVLZC9Ifso nj34Mv4J5+E7mLOLOS8aJ3Mt5bkqXHu17+O9/EF+k76m+D6cGrdUPwEPwaNw Fj4jfkb/AP3T9S/Ay/i3+X58SfwJv4f/la/F1ec2xmfLU8kLyI+pLcgV417g auH5/Ov8Tv5lfAnfwA/zFxzlcGXcjm+BM6vpLesvmyZ7Fu/Cu/EvuKb5nzD/ BrV/O9/LpYz7LZ4lrvM0f15+VF9nXAA/isepn4Fn4JdxTT4vflX/Yv079C/H m/ht/Fy+Gr7IX+dz62/PPcWdN76XK8tV4trq3ag+GZ+Kb84PNh5pnEneS10/ dVPj2YM/xl/gn+N+VJsUp4j7Fz+Pa6iZJ1sk2y6bgy/gazgXf85RBlfEbfgv fdaB+E7UNXFd9+KUuJm68XgQHoEz8hlwT73P6n0pnll4Kb+Sj5dniXhf8p/z P/HP4Bp8Pf598/3lfA+fnM/Hn+LOyb7Rm9+4qPFz6qYbzzWuLn9F/UL129TP xufxVZxT3Y+O0vhx3JpvijOo6SHrK5siu+FYJ79bdn/cb/h78/9o/iPxXjMu YjxWzTTjOcbV5Hlc+8t6XtOzNZ5deCO/lZ/FV431AH+FfyjeKbgd35k/G38X XIqvwLeKa8B7+P38ev2NcVKcAjdRP9B4uHF6rru+Pvomx3eId+LP8HX8ntok +L64l/GYeP+rmStbINsiyyH7wVFSVl7WMu5rNff4jOQ+ozE3wHiYcTp5etfS Te0zal9U+ypewq/ge/PF8Q7+U/4a3xtX5+vy75rrT+fEfLK4N+N9y3/Hn5Uf 1t8J58OF8Wj1U41nG1fh5uibr2+zvpn4R3wZP6jujKMELodb8I1wWjVdZb1l k2RXHWvld8nujXsNH4r702cU8hmjuJeMZxlXls9W96q6D9VtkG+Rz5BXcY1n uUtcdj1DcVu+E38a3xPrQL4s3zz+Dng3v49fp78RvhvfjxuqfyHWFXgoTsOn w0/r76V/ov43uOVcL267/BP5FXk1eR35GnMkkieN+1Y+MtYDamfJ5sk+kGWT nXI8JisjayZrEOvLWHfIesomyF4351vm7CnfJt8lvyyvKq8tX63nD+cE7p64 t2Jd4Xq/5X+QH9T3JM6DC+IRcY/iKXgmrsg/HO8//a/o3xTvWbye38xP5yvH uoi/yGfV34Z7Mta9xsXkpeVN43tVm4S7L9adsU6Ndy3fgx/PX3K8I/9Pfnfc e3h4rAHwDHUvyzbKpuEz+ALOwrc2Z8dY4xo/Ki8lb6LuXdf1Bfd1/Jb1NMSJ cbJYo6kdh/vhITgVnxZ31t9d/wv65+HF/Jt8j9gX4K38x/xFvgpXi1tlrt+d /41/H5eDOxDfG19APize/Xi63rn8Bn4qPo3P48z8t46iuCRuzNfDKeP+knWT jZN1x1vwR/gCflvNP7LEcU/F+tDnnfF5+2UdXWtunB8Pjecfnoxn4PJ8bjzN XHP0rte7DL/Pfxj7Hr4SPsWf4zPpH4Jb8R34k/HMxUX4Enwj/Z9zX3Fr9d5l fK9xXXXPGg82ThG/M/Vd1T+vvhvejHfi83hlrLejN+5RPCTWAHiqmtmy92VT 8Pf4R5yRP+EojIvjhrFH8Fl74/5S1yD2eThprNnUPY/74kE4OZ8Gd9T7tN7n Yh2FF/HL+K6xX8Mf8jv4c3wvXJmvya8w303nW+oS8dliPcudlu2T5TJ+xHiw uheNpxuXlb9kvlnq16mfjL/DZ3EGdccdhfBjuAFfO/ZVajrIusjGxn4y1iKx vonNbNxrsdcyzukz8vmMQdwk42nGZeI64j7WP1Pte2qX4nX8B7Ff4SvGc4D/ gU8faxPckm/PH4t3ES7IF+Prx7MYf8p/Gc8V/fVxAr4H11Lfx3ig8X1ce31P 6Ruj5Gn8Ad6Oz8b7NtYLsv/UZ4n71JFOdtRRQN2j6p6IZ0HU4LtjXcY9o36A cTJ5O3lndaPVLZQvlXeJPW6s1bht3A9cT1yJr8G/aY7fnP9U968sc+wp+OPG p+RfxfeNH8J5Y48Y7zM8EU/FpeO7jvvI/DPMvzaeadym2I9xJ+Vn5Gn1tZC3 i/WPcX55UXk99TVijai2rayTbJTsTNx/8ZyW/6MvE95rnMM4T+ypuFL4RT3T 9ayJ74zbGHsn+Qn5aXkadYNcX3OubayBcGL8CF+Er6tvTazZ+T3x3NL7BP6X TxJrMvXP4d58f5yUfwC34Z/UPzL20NwS7iluo3yr/LS8ory6fGk8C7nbOGOs QY0fNH449mWxbsGT9E3Tt5p/QHbYkU9WWFYn3pPxTlbXWtZRNkLWGW/AW/Ap /Lg5q5lzidpfnW/yt2QZYm/lmo8Zfy/fE79FnB3njn1LrBnwBPwSLsE/FH9j c0819zv6l+C1/IbY//GPx2+EP8Wn1t+Ma8MdMs4rLySvHc/j+PvhxFzVeEbi VrgDP5zvhNfjzfj7WCfE71H2t/nSx54GF8cT1LykZlXs+fAx/D1OxTdV2zre 27Euivc2V5CrpXY13sXv5lfqq4dv83fFekz9WNyL74eT8Knjfufb6x8W+zC8 gH+Df5IvGu8E/kP+O74CV5V7Pb5z/i+cTr7bOJtxLq5vrFnweH1T9L3Np5Qd cDwsKyCrKascv011LWTtZENlHfE6/AH+Fpc3ZxVzLlb7C/cnTis/6vyd/It4 DrjGrDhn7FPUTcHj8RRcLO4h/II5J5tzZXzneA2/PvaifAV8lP+OTxFrddyE bxXv0VinxXuUz8/X0P8x90W8A+L3Jk9kXEldT/mzxnfJm8vbqh+ivgN+D2/C J/EitT/L/lCfJvYAsWbB49S8qGaFbBz+Bn+Lk/P7HLnwI7g6/5Hez33W8vjt yBNinaZmjGvtwfXFibhUuBnfRt9gZXPxfP51vj1fBL/Lb+RP8D1wOb4yvzC+ c+ef1P0ue4D/xvlb2efx/FKbBT8U+4hYExtPNi7KPW/OSeZcHvtWfASfxPer +9qRE+fD1eI+xglqmspaywbBdngt3oCPxzNHzQ3ZTZ+RGh9xPumzPpNlNs4R a+1Yzxm/aFwknjmu7zlzTDTHW7FOxqv592MfypfHh/kT/H2xZ8KN+ZbxHohr ivcAn5evGu8ivJP/jH9Lf138F/8fX0F9d64P959xE3kr+UB9bdWuwevxMbyA vy77TX2qeD/FGgaPVTNBzZuyZLK9jhyyPLIqseaO3z/+F5fnuul/Jtacxo3l LeUD1M2J/3bBLeba6Ckc/27+ff5orCHjv0/wlfj58Vt0vqbuV1lKflN8L8Yn 5J/K2+BM+MFYA8c6yniScSFujHnHm3eZvrH4ED6O71X3peNB/DCuzJeLtaqj kayFrH/8nmI/Kruq9xfzpsCfGGc0zu4zusf7yHiicUH5aL0v6F0afw/5OvkY eTnXeJA7xiXV0x834lvE8z/2E87Z+dx8Jb2rYs/Lfypfpr8O/oP/hy+rfjTu yvfmb8c6HDfkm/P9Yl/ALeJa631Hvk5+RF5GXlE+T88V7mecXL7LOINxNq5b rHHwKH3j9C2J21e225FNlktWMebCtxwNZM1kz8pa6VuF38OHcWlzPm7OV9T9 5HyZ/yn2qdxG13zI+Lj843iX4vQ4a6xv1U/GY/EEnJ/Pjkea+3lzv6F/MV7F v8eP5sviA/xR/m79Dbnm8Qw2zirPKX881pjxvMC3celYqzrq46a4L38o3jOy S+puxF4w1of4ETxC3XPqXpeNwvvxNzhJfA9qm8WzxziL/KG47+Kd67q2c5/E WkBPbXyTv8WXUjsq9uZ8L/4vnAI/wTfh++ifjV/hF/It9RfCb/Pv8gf5UlwF bm48g5wvqrkee0juoPMx2UeydLGWjTVoPIeNxxvnkw8311hzLVY/Eu/DR3Bi dZ85MuMccU/zJfGfjnqyxrJnZC30rMRr8YG4v/kLsmuxx4p9pvNRn7Uz1hqu PW2sa2N9FnsPPBq/gPPGOxoPM9cYcy2Kd1H8W/l3+RF8Gfw1f5i/S38/XJ9v Gs8C/K9zJv5Bvpz+bdwu2RvxPJP/LS8R61hHXdwI91bXnF+B1+D98Z3z52VX k9x5zCZ0xnnwUDWj1SyUDcdf4UM4Ef+JIyPOHvcov1Xvx7EWiWeX/C95cTUj TdiF68n9jpPjOnxDvpe+Wfhl/jW+md6CeDm/mt8X+1Jcki/Pz4pntfM5dVeS 3HnNJux3/sZgh6yl2jSxXsed4rdmPM74YW6IOUeZ8zU9w/BefBDH/3zc5ciA s+EyosdiP+moLWsg6xn7OsdM2Y96Lye5s91L2B7r8VhXx/os/q3Gzxvnlmd1 LYP1j1S4IPZEeCW/lh/Kl8Zf8gf4/2KtGfcB3ySeD/Fsdk7PZ437ll/Jb+E/ ivWX/lr4F/5Pvpj6p7ge3G/GteT15T30NVX7Fn4Hf4Vn8Gdll5Lc2SomzHf8 G2sYeTp1WeI+jd9iPC/xH/hRrrPi7ub/1bim/Al591jDyBfIm6gv4Jre5FZx e7muuARfjp+u75rzD+ouJrnzn78SNvD7jI/It8XaE6eOPQPuqH4SHoGfw7n4 LHiQxhHmf1X/Cm4NN4TbI98v/0deT9447kFzpJVnlpeMv0E8j/HvuGispxw1 cD3cjW/ML8Nv4y/xNP6M7EKSO0uihHmO244d8jTqMsX9hYvEe9tRXVZX1lXW SEN+17tUtlK2J56ruLi5yrq2qfGedT6t7rzsf8Vy4po= "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl2XfgT+X7x/FPoUmyZ/bMyiYkW/bee2YXpSgNe+9NirK3jOxERkSySqSU tlI2jd/j+n3/ON9zP1/P67rP6fN+v899H9/snfo16ntPQkLC7vsTEuL8Q+KE hG/uTUj47b6EhAmCss7FZV35T/jlSRIS3k2UkJAfN1DXTVZLVlX2p/rCjhKy 9LKUst34bzzboTzhR3N9azBRfhivUPeeuoay7rg2rob/4os4buAr+C2+JJ8B p8Ifcg3dW23z/SP/TP6J/CV1a+TL5HPkr8hflGd0vzm4N7lXuNG4vTnS4kdx M7yTP4WP4U1YW8JPxhfll+WT1D/pXELWjT/CrzT/YoWP40bq5vEz+Ge5Olx1 7qq+Z+Wd5E8Y35T/KV+gvpS6jDg13sP9i+c6lCb87H++UzNZ/ilepW6Jusay HrguroGv8T3M31l9UeNb8r/kNdzT22r3cNu55bi0vkx8Gv4f+UfqGznX4Z/j /+OP84f50vhl/Wv55fxbeB7/Kj+Qz4Rz8kP5V/kO5kpnnMJ4l1xZwi/G3xtP 4Y7ino56RE3912XFHGVkmWVpZXvjS+j4HB/Bg/TOFw3BL+FceJhrDDFvR3Xp jVMaN3cvu7nT+DPslPCr8yXZ72Cq2nLOJWXd1R7jV5tzqTkL4CZxHX4mPxX3 4uvzz/BJ8Q39Pfku/Ku4OL7NX+Xf0fsRt4Mrq+8xeTr5PjX3OE7gT/FgdW/x r+GXcW7ciTddwm96f8DT8Gd4jZplaprKeuMGuBa+Gb8vxx18DS/k97r2Tv1P qssiTy//V/axusbOdbnnXeRefJI/ypfBr+hdx6/gF+AF+l/nB/GZcR5+OP8a PwZ31p8Bp8It8If8GXwcP6D3svOPsunqjuO15lpurmayPrghro1v8SXj85Bl lWWQ7ceJHKfwMfyqnrf5N/BgnBePcK3XXaOLuozGqY33yL8w/tz4QfW/O/8k +yN+h+rKO5eSfc6tM9cKcxV0783js+BmcdNwX74RX4dPhm/r7cV35YfgUvgu f52viRfp38fv4lfg8vqz8Rn5A2qbcPW4xMan5Z/Jh+h5R92b+BWcD3flH5L9 ofZnPDO+L7ifo7G6uuruyErHcxTfwO+qq8Bnx5nwQa6p69U3RxLjM/Lj8rLu 6zW167mV3Nt4ob6h/Kv8Yzg/P5J/gx+Lu+nPhNPglvgj/kt8Am/GD+u/YvyL /Er8/dRXcC4tO8mtN/dKc7fgn8NNcD18N37njqdkOWSZZYfwfY5FsmGyIfEc jXVAltmcac25Fyfl/zT+1Xh2zMGVwafkG/St0teSWyCfHd91eVN5ffkj7vlv Pb25btxruCz+h7/JP4Pf0/sxv5tfiSvqz8k/xv8n/0R9M+cGfH/+fvwF/zn/ JH5d/wZ+Ff+u3uHca/FckY+SvxnrgZ7HjNMZ75MnU/eX8W/Gc+I7gvs7mult EM/mWGscT8tyybLIDuMHHF/iE/gNve/xI/Dr8b3Go11jqHl7qMtinN64lXv8 mDuLT+It+BF9V40vy/+Uz1Vf0bls3Ct/hn/fvKvNWwi3it8jP4efjgfwzfmG 8azR24frzpWLNUx+S75YTyV1uXFWfIR70LFYNlL2Rsytpqcsueya/t9jDY2/ L96oZo2a1rIXcAvcKD4Tvq/rPau+vPF/8tvyWu5ridr93IfcKlxZXx4+Wyzm +FP1zfmG/AD8ED7Ln+TL4Tf1v8+v5t+J+bSN4t/ks+DC/Bh+GN9Lb1bjDMb7 5V8ZnzJ+VM915z9iTYnPC28yx1pztJG9iFvixon+tymqoKaKYV5ZdtlR/LDj K3wKD1WzlB+Nh+IieKxrDXeN3uqyGWc0bu3+DnDn8GmcQs8N5yuyv2RvxffJ +cn4fqg9y2825zpzFsZt4/kU3wV+Bh7It+Kb8Mljf8j343vwr+OnYq3Gd/il 3AHjPVxVcT59OeTH1CR1nMOn8TB1y/gxeBh+ItYGPqXspt4/43cc/+14i5r1 atrJXsKtcVN8bzxbXKun+oqxxhrflS+TH4w9jbya+vzqc8rvca+fqWvBNeJe wMnwef4MXx4P17uRX8MvxMv1j+WH81lxUX4cP4IfF+uF/uw4E26DD/Ln8Rmc Su8t57/iN6OukrwcPif/wJwbzNmeexm3wc1wIvy02uqyx2W5ZMfxI44VsnGy EbJi8RnIcpgzszkP4dT8beOr8flxlbny+Lx8q7734zvjHjvwC7l53Ew8iG/L N+cfxYn55/le/Bu4krnuxX/zteNvwh/Ce/nVuIb+Avpzx2eCP1ffkm/MJzf+ mvuCG6FvpdrxeCQuHp8fn0Z2R+21uK+ox9vUbFTTUTYYt8MtcBJcOfYI5v8H r8A1+YJ8HnyCa8U1id+f8QX5l/IK7muk2k3cWm4RXqVvAj+Kz4ZL8OP5kfx4 /Lz+nPgx3Dbee/iv8Rf4A5xW/13j6/Kr8kXx+3WuILvAbTf3JnN34l/B7XFL fB+uovYZWSFZXtlJnMKxWjZRNlpWUl1/WS5zZjHnYZyO/9v4hvG7XFXuqXhX k+/Qt1lfZ26RfH7sUeUd5K3kKWLNijm53tybuKo5EuN/+Tp4Jf8J3sevwbX0 F9afL76b+JT61nxT/kWcEn/Dn+VH6d3MrYtefZPkY+Sl5APU5eayckdwev4f 45uxdnHfxt7e0VFPaz0PyKvJa8uKyPLLTuM25mgWv63okX8lH612i3y9fK36 yfKx8uzxnsNN4EZxE/AL+vLgbLhdrAP8Bfwl3ooz6P/X+Jb8mnyx+mrOFWU9 +Yv8TvNviWcW7hKfQzxTY0/BdeLacA/Gf7O8j7y6OZIY/ydfJa+j7gl1j+Mz XGrHunj/c/yn/raaJbLv8C51H6jrKnsdd8Zt8UOxFpqzr/oasX+6738vi3Xd 02rucOz74++B61JF9RXQlxh/ob4t35wfiNPgi/w5/ik8Rv8H/IbYx+D1+qfw 4/gcuAw/kR8d3wG9eY2zGx+VZ1IbL3x3Yq3ivo+9u6OLrJ3+h+P3Kq8nKyYr KPsSp43/Xnwej419FD8Vj4/9K57kGmPiftXlM85hfEz+jfFZ48zxuqj+ruy6 bFk8Q52fjvXZPV/id/NbzVc09rfxveMX8LNivee78u35lDhprM98P34ofibe z/A9uB5ewx/B+3F9vcX1FtJ7Vl26+O/GX+NxsY/gp+EJsU+MNSz2gLHky/7G y/EP+EO8TU132VDcDXeI9xA80LWec61asfczvjc+W/mnxgeMG6gvob5wPCPd 31fq2nEtuJdwenyJv8BXxOP1buXf59/DG/VP5yfyOXE5fjI/lp8Y7//68+Oc uH2so/y3+CucRW8ivf/IVqj7Ee/B2831rGwY7o47xj4c11bTUFZSVkR2Lt4n 42+Av8ET4jnNz8CTYl3Gg/jHXS+X6x3HWePrzv9rfCPea/gazpXivY/7iNsR 66R77aFmMfc2NzvWeP5ZvhOfCiePz4R/nh+G68T+FCeKzxav44/ig3hd/PuO /lL6n9B/Xm17riWXMf7b5d/KJ8azUN1MPDnWn1jHYo8WPw/Zf3gV/jn27Y4e ss6x/srrxrugORObcz1uzJfmi/Jfcx24Vlwm45/kF+VPu69JardxG7nFeIu+ WfwUPlfs0/gp/Dh+Urz36y+Ac+MOsW7zF/E5vA1nj21dkoT//wewm7EXVl/T uXK894n3cju5nvG8kr8jHynvKe8S6428np4msjKyYrIL8U7n+EA2WzY1vo/q Xo29TGzNZffI1sT6aM4q8b4n3yffJe8VzxX5QvkoeS95V3nqWItiL8X154bj +rF/xkni94E38Mfwofi74qb6y+ovHmsy/kZ9R741/zJ+LD4f/ju+Ep6sfzu/ KdYKvXO4afG3l0+Vj5cP0VPQOI/xCXlOdQ+ou1fdWu632L87esu6xfdPTYN4 r5Q9KSsh+zbe2Ry/4O/xlPhc+bl4etwLnuYaE2LNUVfIOK9xR/d4kvsOn8fb cS59D+pLpO9WrM3qazlXjXcG/jL/Mb879mO4d+zLYy/Dz4m1gO/Dd+fT4NTx W+QH8A1jT298n/H78uZqy6ktqfZivBM5tsvmyWbIKscaFvsA2UOyxLL1+He8 H3+I+8Q7De6Ln41rxu/GNV5wjUZqkxnfH9eOZxb3Gf4Eb8At9JXXV0rf/fg7 9Z34NvwgnA3/yl+Ke8FT9e/gN/NL8A798/mZfG5chZ/OT4x9sN7CxvmMT8m/ N/7aOI+eh/Uk0bNBzR+xR3f0k/WQpY3fb+yHZRVkpWXfxztDfBfwD3iamp38 W3gWropnmH9S7NHUFTHOb3xafsn4gnFe9UnV36f+djzHY6/kXI3r496v8Af4 PXyJeE+JdYZ/l58bz3/+Ob5n3CNOF3tU/kV+BG4S7xz4gfi74038cXwYt9L7 lN4yei/F79ZxGf+Ip6vbxS/As3G1WMtizZYlk90v24j/xAfxR7hf7NHw87gX Th/PA9ca6FpN1SY3ftB4s7y1uorqysYe0X39wHfm2/I547vE/cRV4WbE35Xb wi3Fu/W+zc/h8+Dq/Ex+Mj8ZD9P/BH4cd4p/++B/wN/gHTi//kf0P6D/TjwH 1Ndxrh7veNwhbi/3XOyPcH/cG2fAzWLvKnta9qTsx9jXx/cF/4xnqvmQfwfP xTXwcL6o+QuY/wv8OJ+cf5DfzNXlasT7nvwT+b54Z4j3lliHufe4ebEu8AP4 Pnw6nJEfwr8Uz2vc3FyP4odw41g3+M/xkfhdx78H6K+kv1zsa/FP6rvw7fjc xle4X7hZ+vaoXYjn4Zp4RKwxskdlD8m24GuxR3e8IOsry6SuRbz/mPPheLfC 7fjKfHn+Z64r1z5+b/Hdkf8avxP3Mju+b9wH3Ed6FnHzubyxZ+NmcVO4KfH+ p7cYLog74y/5H/G3eCcuqD+F/of13405Y5/qXJPvy1/nD/Mf8/31roz3g5hb /qK8nzyzvKW+lFzSWCdwe74KX4H/JfbLjr2yd2VvyWqpGSUrrqeQnrO4EJ+S T8pv5epzz8R7n/yIfL98QOwh5EvkU+UD5c/F7yfWLu417uVYJ3Erc6TCyXAT vI0/gT/FG+PfBPRX1f9UvFvgX9V34zvwg3E+/Bf/W/ym8Rz9u/mt/D6973EL uNry0WpLcIW5r3BhPhWfjN/G3Yz9sOMl2fOyLPG7jrVXVk1WUfZb7DcdV/Fl PFfNx/xi/Ha8q+LZrjHVNcaoK2lcxLiLezvH/YQv4l24iL7U+h7R97d8u/oG zrX4fvwt/lP+QLyrxjui/tX8Un4+ns6/zPeP3zLOGusYP4hvE+9vxo/Eeivv pLa62qfVXo49q2N/vO850siTy3fIbuOj+CB+MZ73eBAegLPhN8w52Jxt1aYx Th7PwlijuJP4aHyH9dTQUyneq7jf1XbnOnKv4ALxW+N/56vjefGM4bfxy/AB /Uv4d/h88Z7Iz+Gn8WP1ljJ+wvi8/Gfj74yL6kmr51E9O9XcwcfwITwwnqd4 MH4BZ4/fcTwrZDVllWV/xP7IcR3/geerOcgvxQtxPTzXtaa71jh1pY2LGn8t /8X4e+Ni6tOpT6F+l5q7sc+N9zfHM/Iq8iuxL3Icki2TLZLVN8d4WRnzFDPP Bfyr8aXE//v/vYur/T/lFuEH "]]}}}], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwUV3c81t8Xt5VZQlYI+VIqISucYyQje+/52DMNFYpESZJoGVHSkiJKKIqs yt6P9Qy7zIgSv+f31+d1Xueec9/3nPu57/fZ7RlqSWCgo6NrZaWj+/93ZnH9 uL7PmJZXsQif+lKu1onHZxX18mpB56fUrt8nL0Mk+08fwbxOkPlv96n/WnJB RW9XaWr4EOy4sNKkUFgC5z8W0DHlUWCblve1fpFPMDCg9QSuTkKituDpe0+/ gvrvHpPz4T8hPWzBcDK6C75fVTlHlFuAuuHDqqpxg/DvziWTtdwluPnE5ofC OBnkClrFd/KtwB+n2G9LApPgXCr8S+nqKnSovfxz4N5PSP7s22D57w+svTXk mFiag6q2N/fDwv+BaUxCS+CvOfgxvBmcMrYJmf7ylcU0O2XlsXiPHD0qEbWV 62l2wT9jtjEfBhyArQWvaPZHpsWlpVxGDH22eCecZvew3x1iIDKhiMHx25w0 e5ZHq2E7HwsK2b35dIm2H4sQ9bW4GSuOcvXLdS7OgejupPsHr25BtyYp/j8L c6AsIx+vVbsVF+o1pVbm58D0YE+wyT82HJuUuFM3Nwc+ylF2ziocuHhb+rzn 7BxEa0poB4Zz4paFN8PffsxBul7j3nMvuNBO5Rwb/cwcFBqH8F4d48aQm3zv 1yfnwFOWbfPrjW0o7FFv/HGchk9uKKJTbjsGClj261Hn4Jz868mBpu044+qb lUqi4VW65EL24UGqzL+dD4dpeI/IHlvI3YFKLO/rdvXNwXOt9cpVTV481VJ9 PLmLhl+nVZ6OyIu5/8msN7bR8BueEuLm48fBPoa3bxrnYOC4wQ3+En58MHsx wquOdh5zYSZRs534vVzlPLV6DmLsPv2UuyqAYw91q63ezgGbU7qnkrQginQo ntIonoPbrr69R2oF8U7A6sWZF3NQROD8ZPRPCCXM6m2v5s6Buv/oYcv7whhE btkWfH8O6oPePHdQEUGOYjlB+vQ5GIpwSPcL34WyWSzfRBPmwO+M3NYwLlFM JkRX34uZg1/nNqPPvBBFu8xrWU9OzwFH3GPfhDExnItR3eNImINvOhqz+tri GH5Rpf2H0xyk1T1+2nxDHCN0evxnLWj1aYzc1SG3GzekKzb4NOaAakjutTm/ G5mvP6VIy9Pq9dU4rb9pN95lzL8XJTkHYSZlx10EJJAyrD3Mzk+rX6soK8lH Ai322GAT6xysm1/55F0mgfVSHxWerc7C546F85OMkrhnx9bduZOzYNpTNz+X K4kHDdWZH3+ZhQsjLg5cK5KonmwtsfJ6Fl5PrnySM5bC0z6rVZv3Z2H7X5lb /stS+M3sAHVL4CzoMH3+m2i0BwsLa0rmzWfhBKeTd8GDPXhyfOGDx+FZ6BK7 fphiKI1JDmbHKtd+ArOsdA79A2kUnRC/nd7/E5QVqlnEf0njxqtv/X3vfsId vYVe55z/UEnNLONm6E9w9Lc517Mog+aTWbvTv/6Aaydmyb+OyaJTQfjCtZwf UHU+0XhHtiwqViSL/gj9AbtS3ouYH9uLwkOe9KucP2C0ZFd1U+Y+lO84d39K ZQa2V739b3J+Hz5Zuq/WtDENOl/MUln05XAz4HXbsbppyO+N9dCdl8Peuf5h feNp8F0fY/ygdwC1D/LtczOagrvMF4KI9w6gu9xRb33WKWjkEuhemz2Ajm8t P4rUTsLe3UYFyvcOItv+0qpPKpPwW8JOqu+0PL4qyR4U5p+AimOV9RZfD+Gp r4rtKa+pgDcvsR89qYQXfDKZv5iOQMMwvxZDlhL+rZJJfFQ+DKZyz8Oqa5Xw 3RD54R+JYXBpaOtW23EYfSOThxzWBuHcv125B0oOY1QNw3B30QCU+pcrCcwr 4/E7hH07TXrgyDtj3+6dKnhBRkxdpqEbPjON3EsDFTy69RIXWacb2h8wb3Lc UMF3452lj6ALZrstm+gPqOKPh/M278w74JTk+N+PNqoYd0dAgDDQDuthZw9E Ravil+BzFf4+7cDOkXtr5ZsqLh5jcem83AYyOj9dZgLV8LfW7KJ/03d4deNi 6tNbaph4ZDPEkPU7KA/tqCVUquGN4ek+E+NvcDRSXWaUTR0LXoxHXBpvhm9f vjtmK6jj5I2SXTu0msF6h8d1R0d1vDHe5BOf1QSeRYmLXc/UkW5m7lVtSCNM /RXak9aujjli5eUz5AYIMyyyM1tTR6NjjTLPXBtg9bZ2EsfuI3jlmccpaXI9 XKB2VTUZHMFq8SsdycH1wKLgN5cQdgTNOdfXGenrIeXC3916d4/gCo+6dEnW F+D7nmJNX3MESz5nDFbiF8gSkkj8OHEEBbNbVnR/1oGkX9n789wauEHcdjHw YR08LzP4oaqigcFlcmUW7nWgwDgouuKqgVtOqrLw/lcH781DLd4kaKBpLVmi ZaUWMIchPqxIA8dfMXLfb62FxpmMt/t7NPD7lpvKqcW1YKYmOzX9TwPH7Pof N2TVQk9ClfDTPZqYNvpX3PZmLbh2mZkSTDRxvyOzg/mNWhjbTbkocUoThzg/ iDTfroWg0NNvRrI08dzQh6SeJ7Xwq2rreFadJt7q3Kl35XMtnGfLFnD8oYnf 6Z7fXxivBQZ7eeOdvFr46u7Lt1J8dZD0uDa664gWuo58KVM0qYPtS7avb3pp oXJ+do38jToQddltnZikhWltBdV3+utArmHmd1SxFroo7+0s3P8F1A+9zTzR p4V/V3Mh9toXMMi8CH6bNFtXUlF66QvYMhtTXKQB/SbKHxR614NXKF+ilQng 1v1CnHtG6yFG93mLViYgB1MQYe9yAyS/PHlC6TOgrdb8z86URri3E/j3TgEu zrGwPFVogoHlqaIkYcRv+/dIrdxtBtLe1ovMBxGPaXT9i3L6CpNupZYXdRD9 BxoUj8l8g5WmmJVT/oiiDDqX749+h38bXo3zUYhbdKS8dnxrASYlw/uBqYjr nIJQ9KkVtufs0PJ4hxinPJQfOdYGcieeXj7OrI0N5SF6izKdoPjkul2DgDZe k2NO9v7SCeqDJ2R15LSxNcNXT82nCwz0Nb+rWGkjWoTsCyrtBi+hDl7JPG3a ezFv/im6DwLM3o1nl2rjaM+G6H7VfgiLzyoXaNRGMSF1V5vlfoiZ9XHmmtPG jcmGUx9OE+H+57+P1jR0UIVNzdT7+jDk/R49ddJcB3O0jxQb2IzAU7n6Y3Ne Onh6cKn2NdcolN1OnaEm6WBvZWObZ88otAXsUWzr00E/PvP+vW5k6H3Axmz8 Qwfz2TgZf30kw3DXXM+XTR3c88vAJGQXBX5oVZyrlNbFw85hkS3dFFiKeHBc WV0XH5XLM3ofpMKfp/GixSa6WK/R5saWSAXWHWafC07qokjuFsv1g2PAZaCU vvuKLnokRUWwxI4Bb7SgT1amLt6Yvfk+p3UMJCYoW9M+62LQ9jPfuQnjICvS ROTo0UVW0wtv378YB3mLopeJU7oYPG7PnT43DlqVkRbR2/RQ8c/XO3dCJkC8 Y6olZ48e2tcKv7pUNAH0U47Ha9T10NKe9/bo9ASQN782kcz0cMPuv72PJSeh jl/zGCNBDyPkt5z7aj8JBfuL6qTO6eHxV5cKzJNoOlJPTEf/hh6yMOZUK5VP gp9TarVvvh4WZ73NPEeeBKMT9JpX3+vh/DRv4X9bp0Du6omK5y20eBalb7py U8CZS1H5RtHDwT3OPP3GUzD71rrs5yoNn8i3jCXfKWj7/kWBm+soXl3i1si7 OAUlVOXX8pJHUf3qwbiFjCm49ffJfkvVo1i6ZZ/e8pMpOMkj+CLC5Cjm0Ssm fHw7BbaySTIZnkexkPuNtvvnKVDFv4/fnjmKYm+uHpxtngJBuyDJvuSj+GsL S2ZU2xT8CR7KXcs7igddGVXFO6dgMN5UVPjdUZzKJsz/7JiCj5nVmRrfjiJV Tb35T+sUPCiRF3QlHcW0wbBaJ1q+i015ty+sHMU93Tlv99D28xzl4c1j18eo agm94HdToPf70s3P4voYufKkRv/5FOzhWuaiHtZHEcH/pOrvTwHLHp9kZmN9 dLm1+W/jyhRMHund+p+7Pm5T7ghhOjUFzZYGiQan9NHIwURiynUKCv3fMwUk 6WPq5d7j1fpTEHonc7OwVB9Tov/EJmybAvMijuiWJn28I6OYd29xEhS+RP+Z G9bHm3MWvuSOSVhZdFtW2HoMb34wBOuUSejb2n7CWvQY6nnPrGb6T8J7cZ35 U4o0/8zjMlvdSYgylZopdzmGocIlV10XJ8CVkOE3cOIY+rfTn29omACIYhn/ m3gMr2Wx7idmTgDD88lRrZJjaH2H000FJ+AK88ueOhYDvJPVrrzn/DgEiIha jwsboMe/68EGx8bBWPFGO+shA+zt13x8lmccuDzCvxk5GeDne6HTigVjkF51 +HPbKwP8fdOOT6eOCrkRH18O2htiXsdn9UNUMqzNWu7NCDJEB9683Wefk8Ey YKLA5KIhfmh85hkXRgYmj225H58YomcBwW/tLwn8TD3TclcMcfk1tcRpOwnk ZVnOeKcboauDjeXY2WG4mn9/SeSpERJJ5R9lWYaBLHYwrLvSCF/qxLstpA1B Or+9vz7FCOP+apwxKhqEVcbnTjIKxlglVNE08XMAqodN8EerMapppx8TeNAL Ao7kqnyKMR613mSQP9ILYd2n1Vx+G2MIN1tNe18PSHx7oNAiehwFM5nnVgR6 IOH9gtTr4OMY3vDJLb+oC0aUEvL8Yo+j/NOryxP2XaD6Wkh0d8ZxFIkJ7NZk 7oLpAt2daVXH0Z3uZZu3dyeYpmdsPclugtsjlvdFaXXAE+69CXJiJvjK5db5 A3/bge7aR4YxBRN0fB3mca6iHUpiJ/7aOJrgl/CYInFtmn75dz6SK8QErSPe JWVuaQfvyG3L9bEm+Kfm5+B8Rxvwh6rNqjwzQQ+T5av+YW0QOv09YL7KBDeN j9x7odsGjQTPiadtJnhj8v45ZqE22E1a8fKgmuCTN4GP2Sda4ZzztVHBVRPU kPWknMpthc5eMZcOdlM0kmt9QnBvBTmr0v4kMVNkZ0pTWpFuhcstBra6iqb4 hP8fh86vFhg2HOr4q2+KL5K95jwbW4Dnyb8/js6muOESp/8itwX0mUQlK8JN sXY+quhwbAuc89AyFkw0xfFNiVtiAS3w8qNrRGSWKc4e6ZO+7NQCo8IXMnuL TXFvsJlVrE0L8J59UKvcYIoTrtFF++1bwKCneiZj0JSmv0+HPfRqgSjF0R3L C6Z4+M0975UzLfA6lU7DmtUMJ5VMB7UyWoDyU9z7jYgZRih8yrpR2QL8xtrJ PApm2PaM9cuf6RYweupRGn7MDBfMamtSJVshhjlusM3ZDEctu/ncCa1Q4vmQ Sf6EGXrtvXr11OtWGK/+LHcj0QxJzo/rghnaQHAXxXo2ywy3BXfamxxqg+Pn GKNNSsxQsabbc9C7DS72Sj4ubDBDdm6/DyLZbVCqpPedfcgMB4R2FHINtMHk Te/lgEUzZPvoKFEs3A4pZz5zjTGa429t6QB6z3aQKeh4mM5ljtIcT8T+FraD E+NS85KkOabH8im10fTvr0OMbo8OmGP8RPCBe886IMV9x5KlmjmG7ROvGmfp hM8fFIVLTM1RcV7OrKOlE/ZGngwMO2uOok57fYpvdkNdQfymWLw58vJIGp/k 6AHX7vRbrSnmWOz45tJ6Ug+kKZRVHsg3x8GPQiX1ab2w9mOZ/WeLOf750vDq fGM/NHqcKfSXssDTFu4bH7OGwTM1EQUPWmCR59V1LY0RWP94p6tRzQLvsFk9 nSWOwEGR8vX/zCyQ1DrL43R9FG73rB4fP2uBGVyvH0zU0/5/5q2kjHgLrP57 Y851BxmaFQVPHb1hgQ8V6guaXcmwkaqWnZ9vgYID2iarC2QgGJ/76dlqgWVS 7Q81Waggrt2XPdpvgVnttfIVR6kwqKxs6kq1QLE4ujGLS1SwlFgsclizwJdM AhYXVqnAJWDu1stoiZvSnQlzNP5v4izituGyxANHilYOEsYA1/zDzCUt0fzm rutTjWOwPtsg3rLfEht5HnAZ/x6Dd9Q97caqljg5fyzKRHIcTgxcim3SsUQq tx5OHR+HA22kQ8dMLHG3WI6HwMlxmP4C5Do7SxRiS7zQc3ccHldmp+l4WqLi fclP4pXjIPLEYUnzjCV6bhkNslkdh76sd48qY2nr8zf5tXdMwK00Pmu1ZEv0 1STpVe6bANMrEUzvblsi2VToUYP2BLDFtJcq5dHwED/+DLCZgPqIg4SSF5bY nVc8/NxnAmL9r/PJv7VE+pU+oZRTE6DhNvPlZY0lZhel7xSJm4BVa8PT+75a omitIotL8gSUGj2RftZticq78j45pE9AKDL3So/S8PYd+yB8fwL2Knsl5k9b 4kuN/+YKsydgfN8nFYllS2xxWfqw88EE5O0Wm3ywaYliyrYLPjkT4Lwz+u4u Niu8wF3/6DGNnwQ4iQaZvFao7SGsNHJ7AjoZ1NYExKzQIzpQSSx1AlJWbz+7 LWuFWsImHuGJE2A0+8uBV8kKG8yi75KiJoCZasmWpmWFHSfXms+HTUBN/+sK bkMrbBwmrhh7TkBUK1fgdSsrtJYZF3e1nACVL0HC7K5WmMTMaPyRxoeLFc1f r/hZoavw89DI/RNQ9FomiiXCChOZyDF3BSYgoCBBLj7aCsvfbbfbyzABe7Ko g/RXrPC48MhntelxyErM1fyXZYWspUd30L0dB/vojZ/nnljhL0EjvpZ747Aj wjlntdgKPQMlxo9FjUOSq8DmUr0VXj/F9y9Qcxz0rU+/Cm+3ogn2wYtyIuNA b9TlNke0QulAkvGXtTGIPJxaMz1vhdV+n+eeF4+BD8eWOJKQNX7/zVMRwjcG 2hW/mVpDrJGHySm0rowCqp4TSncjrbE8O/MCZxIF5Nl6vT3irPGgIhcjyYUC oo5v65YyrPFNS1j9USYK/Fk7GS/wwRrZ/F9c6jtOhlK1RUZPdhv0oWsJzOgc hRckkuI+Phu88mXwDV3+KDy82u71S9QGn8hWtgeeHIXU/te1CQo2yCc3tMWV bxSCz4ZeeuFgg8cWtfcvvh4G6fc/GJaf2CCLns3p8E4i7PIYVPhYbIOMDm/2 jJ8jAu/Wb56JlTZop+OYqyFJBAaHF58FW22Q6VO8bsPpARhZ9Y/TWrHBCD4m waG9/dCT61DCSmeLjzzClqYG+qDFwJDcttUWRS0N6A2T+6DqroyO1y5bTJjY mnN4qRfuqk7QX9GzxQ83yCGmnT1wY7TnkIWpLSL//qQTN2j8fqXeQ8jeFuM4 9ArsTHrgVN/jT4WBtvjf6TWpzJZuCLqYsXDqlC0Gin06yZvWDd4yl3fDBVu0 e0u4H2/XDZaR3rHtabZ45fDpHTGTXWAobl18P8sWPzJ/Ct1d2gXYqEvyKrDF mtD57LnYLjggIKm98t4WS9jryFpSXbCnhie8utYW93DXPu9b7QQRP4a8K99t cTniVnVLayewl5PohEm2qGFgN7AR3wnz5ncS3s3YItPwFe7b7p3QNXWcw3rF FkfqM2f3QieUxzGkzdPZoZcjs85X8U7IFi7feZ3dDs2Kt7nHM3dCXGlwtiy/ HdIb3zDx+tkBPiaSkvXidvil5XjYyb4OMBrve+q5zw6NK/yna+s74OCFlAOb h+1w/oyAmEt5B/AK6JVmoh2yvVaUMX7ZAauv19RUje3wYIaI/d3HHTBo+Kq6 y8YO+xnH7pjmdcAnsvfRcHc7dPQ9s/NMbgcUnBf6yhlohyuenb5CjzogibfN /PkpO5TYVhuNNP4KeXm5R/+iHcLjjuD5kg6w0j/iTEmywx4l7Vb5mg5QHZkn Xciww142ohBreweIRBb4iuTa4a9eEcfIsQ6g2+78s/y5HZ4+m2px5V8HjD3b HmFTZodVzhZH1AU7oVmnYXWh2g7vYrNgqmonFBGjYlKa7dBnIUfymlMnpJ1U YNrXbYccz7yN9sV1whnOyasNI3a4Ktb1JLSwE5wLsrm9p+3QpJ9j2magExCs MuiW7fDxMYbWAfYu2Br+MVeNzR4TTNgcC892wezWk9I9vPa4ft65YqasCzoe yhaeELNH9iNGf4qWuyCzK/3dCyV7LGs4/vD2hW64GGykaQD2+Nzg6UBeE+2+ sdDVUg3t8RnTr7sb/D2wXzWwZZebPXrq+nP5VfZAdab22I2r9viYfW76vUwf 5Cv9DpBLt8fotIkk4Wt9cOV74XxjDm3/dwsXds73gcXmznX6UnvMyJ8Idv/U DxTPWZ6Tw/Y4/JvumEc0ERr/Prq7bcoe6+Jl+VrmiVCY7iD6cskepfO3zBQS BuFUfZ3s+BYHLF5+085tNQSsezPRXtEBuWI1p2xURmDfwrEQjSsO+Iip5v3N aBIc17gRIZXmgJNv6wuG3pAgKLEnkiPLAa8OF+6LniJB4S7CpcFXDijGf/J0 sCUZ5Izi7kb1OmBMf9n+A4IUOJ7RlO1NcsA9TlLKBw0oEDS67dHxGQfUKZ/9 tXmKAi9PP3gpsumAy9spH4nfKXDgUdXnKmlHLPLPuaYSTAXTWcbGfHlH7KQf Zg66SYUQNePvyeqOWFim8F24lAqvWvt7nU0d0WJmqLPjFxXahHYP6dk7IvHR sX8tPGMwT/Ajy3k6YnaIiow8TR/Ir6/8WD/liI3nzwrxeo2B+TGtReoFR+QS 0N+8eW4MwtIu//521RGDom7IBqaOQerQt/XSW464O195Lid/DIpleBmysx1R dXXQZP+7MeiIcGK9/MQR24bHZvlp+mLx40OO4GJHNBJWYHfpHQMetuntNpWO GLdcEko/NgYKNod2an5xxPbIfWdZFsbAMjdSZE+rI774/XU95O8YnJip3s3Z 74hli9UmWkzjkKbM+t8y2RE9d/1RiGQfhzexpnJDPxzxsHJlt/j2cej6lnHo y4ojJpkq1WvwjcOvnUPKL+mckDvUZbZt5zjweklpZLA5YYn79GWywDgoFQVq R/M64ZVdO/nO0GzrtRJ9gqgTek/u9E3nH4eTen+MTWSckNVcMA53jEP6DW2L wwpOmJTf9yyWaxzKBq7Y7tJwwvAEsqnrlnHo2dPmxKzvhPtid20bohuHlbCd Hj/NnLD/kGkZ0+oY8Fe5+nQ7OKENQ6HU4M8xUGYtCPzg5YSV8eAbQB4DW8uf YY+DnXCAaVvW2+4xOJ2tdPr6GSdcv8zxp6FhDG5Pnj9/KtYJCbWfmh+X0/Sa Yu1Fl2tOaMUaQrB7OgZ9MWwJRzOcMD7eSJ56ewxWmyyu7X9Aw9cretcqfgxU 3Ucz/pXQ6rFkvmvVaQzsX/yXOVblhDGXBBQ19Gn8vBKS+73eCVvGGrsu0u7H ++R/z7MHnLD80/dy2U0qqL8XqtFkcEYRX3H/r7eoEPX1FWmJ3RnTr6+URJ6h wschPcbnfM44dCurwN+RCtoMofr8ss541cMXFESpYGBc+23WzBklhp8Xi+ZQ wG4osP9BtjMKcLt9M79MhpP0Hxbp1VxQK+3qth1io/B2hyVvuY4LSnPtbIP5 EVjdM3E45LgLXn3AxHHp4QhEGW0/O+Dmgus1se/esY7ApVuEzZIEF7zzJppP sWcI6h7/EfdPdUGCt0vWYtIQsJTf0BG774JMhpWcWjgESYPvL1976YKvT5BM nxUOQtoeLg7vLpq/5RyvVAoRulQe7RcadkEbfVJ3hgER+I1UzdomXHBasmx2 iZEI90I80zT+uuBe6kZOfvQA5L57K8An4Yo5ZzYzd8f0A7nJWP3rPlfsZYxZ Au1+kBocdYo97Io7FN4efMrcD0/p2B/8NHDF9OZdQ5fS+uCVodue+lBX/HFy +9u8D70wfLwiy+ycK47a6L3ce6UXuMz5ePvjXfFRgs6xPOteCLL9yvDjnit+ 6fi5nLzUA5kO0udO5bvihYdCtiL1PdDsHLuwUeSKQ8RQyvf7PSDjpTK6vc4V w4SLrjQZ9YCdT5pdZosrrnLf/7tPmqYf/H+2SPW7IikqUY/E2ANvgwz0iyiu eAXbe35RumEs9NEHlVlXPLDu2h5e3w28ERtKn1ZdsZjvxW/PF92gd9qh0IjR DbWZeco6aPoi4mypZBenGz72eM/7NaobHkZxZ7oIuCGzwsEyG/9uaL8QwDMh 4YZlCVrfz9t3A92lL1fD9rthAhdRRt+oGw4miNP/UXHDpPQVzg9a3eB69Xzk JR033BL9wWnycDdcT+6Z4zCh7ZcQ7dh6sBuqbhzyvW3nhtI8u3si5brhR1ry sJinG67/4mGb2dcNwrcnbJ4FueHlsK6MfQe6weiezneFM26oLn4wBRS74VxW tl5VrBs2mabb7TvSDc8erFYeTXZDjasJZYtHu6HvoZVi622aXzGn7q5VN7AW FD23z3PDkwrcLWLe3aD8bKsE+YUbxh5hu3r1TDcQCr3vBb51wzzVjtKe692Q /qp623KNG15j23KO9Uk31JYIXYn56oZtzWuLQrXdsFh2apO1xw3fPkzJ5CZ3 g8T7ttM3R91QYq9WM5nWD4uqfbNCM25o9/H7gZsyPXCxOoGQv+yGFwpeavKb 94A9KWyWn84dcX17RdC5HkikfiXksrnj5P3LHBG9PSDqc3b3GLc7cvOfYdrB 1gtvJ6SHZPnc8di4aIA39ML4dKz1GzF35DBVypor7gW9BRXdeiV3fGX3QESx rA8GT4xtsKm7o5jsm82Fv30Q8Sutwgzc0XiZ8HtGrx8e/v55qN/QHSdaPunC UD/QbTwS/+HqjnYBrE0UKSJ8YNu2sf2qO8YsXIq8vjoEJwgJZ9evu+NP8gJn jfkwyNSs/xpPc8cHXRsWrs+GIe3U1ExlljtW7bZ9HeQ0An6jn/sJr93xdeat xh63URA9omZjXuaOQhfjkriSR6Ez41WbegUt3kkxcGv5KGgZZzVw17ljBOFM Dzc3CXjfnip73+uOszu4UwffkaB52w/5/EF3ZCosXn42SoILgZ6FKSR3nNod 29iyhQzT4maPvGbc0e8H/cNZWzLknv8iajrvjvrWC3kdUWSw6TlyX3XZHcG9 l3s0jww112Rucm66487Q65ymU2Q4PZ7DscrogdaZl40z2SmwT5vvCnmLB6Zq /Tw6I0eB2yv0F97xeOC0/onzJ4Jo+sAi8k/eTg+UF2mKuU+bd+gLZ08li3hg +UQ/ueAJTS94EIM8pD2QZCRqZj1MAYkqi0njfR7470bmqenfFOjlb/RSlvdA I/0uLbNtVEgO1xoRP+yBDk7Pk2L+o4LOt1JHdnUP/KUS2HRSkwqr0vt6lrU8 cNS5Z+6AJRVexuZZjOp64NlvxgHPCVQQUEkxKDPxwItJKqVDV6jQcpOp7oGl B4b8ediddpcKl36cgyQ7DzzCoznH+IQKqscWKk46e+C1i61f5Wl6ZDbPV9nN wwMT8g8XCNZQ4dH6ULGhjwdODR3jr26mgr2d9X6lQA/c7VUnLdFFBa6S5qei YR74do5RQW+QCrUc2lJbT3mgakbmmjSFCpG+7x4snfXAPkdCyrdJKhz4vF94 OMYDF675Wqn8pAJFJP924yUPPHonaMN/ngp3zwjxvLnigZET8fG+izT91JF6 Pfu6B66spO5VXKIC437WrVfSPPDPZG1gG81fnhgdf+IODc+2vSy6CzR9RV7a dM7ywE22mz9TZqkgpRlw/lieB3IkSBqUT1Oh/87oyqECD3w+URNeO0aFlEXb EyIvPPDVfeMfpSNU0DP5/pPltQfWSFP9b/ZR4c8TXf+FUg/82Jz0waWNptcY KqjE9x4oeTWfJNpABW8Xeff6jx44FHfgR38VFYTKC4ivaz0wh8mPN72YCvrs dAzMTR54e854CfKpcMLVQcahxQN1pMxFv2ZQoZmJ4xR9vweenvE/m3mKCit2 hEybYQ+8p9C+NutFBYkXHz89o3jgM4s6Vy0LKpy3COeynPVAYAyzmpWhwtP8 ZqWCJQ/sTVCrc9lBha7fkk5/Vmn1tKjoG1+ngFxOz5OHjJ5I2NSR9abp08Hp I9pLAp64+2Js2Kg3BbZoZfgeE/XERY1Lnxdo+lbp5uz1TElPTFcSfuNAu+/J KnkDugc8cbvNGu/xBTJoxrOcTNf1ROcPbP/dPEmGnF3tBYdDPDG8nZdX35f2 f4bt/X41whNPaniJW+uRYKX20tJQpCc21n+UUdhNAtMAZUy45IlPvD78Oj8w CptvM/t77nqi2N/2z3zHR8Hd3IcjstYT4XLvZrrXMCQ/qlb41uiJnfeUMtNF h6F8RcBBvMUTU76dMNw1MATbsr8+buzzRPsuLRcG2jzwaUoeBGc9UcpQXfqR ySDMaiQRgpc88crFgrgIrkEQSqVc+7TqiUZcz4U02ohwQvl2nz+jF+o2x2z5 YUsEiUt/wysEvLBRSMHkyAna/P/+fMHyLi/kf7tdVENzALLm/w7IS3qhyx0L i5tbB4DfdV33yX4vrP3RZOZX0A+d6VGRZAUvtJyrCqc/0w+pX9cLd6l64a4l r4e7DPuBTe0fX7qOF2qn2vJyLPZBQ2i0UesxLzyZAMa/GvsgvuBfDJuJF3q5 /Iu6ltcHGzs2Ji7aeeFLlTP+83Z9UGkUI1Ll7IWXQ0v8Ow73QWTshvlvDy88 UvWu9xpfHyzMbrwPDvJCEfu43ucDvVC058Ls03AvVOjUvSxR0wsBzpsS1NNe KKQouZbxpBf+u3XBTizKC6dVfH05b/YCtWnzmmOsF4ZMKcylRvVCHt3FmowE L1zPrxCTCegFVxW65bZrXviTvVJxwKEXhEMuynLc9MI2g2bVIuNe6Muncz12 2wtvHAxLeE7jpwzixbS4TC/sS9LT6z7cC5Y89A0fcmnrh1WUlA70Ardh7N/V xzS7o9Djm0wvfLtAL6/0gpa/4UPFwz29cPVtrHfoay8snRGKqZTqBf2f9Pee l3lh0bMYOyHpXmCUivs+VkHr1yGBhs+yvVDjyMCwu8YLdW6ccX53sBeib8Yp O3+h2ZVLRn9UekG9kSHwTrMXnquYs76u0wu/N+IedLR6YaZYhXu4WS+UHmbs 4uz2whMqfSsFrr0QHnRpi+GAF7KU3K/fH9ZLm+8YNeNHvPDe9YP8zPG9MNN/ Kbya6oXsW/j09t3vhafbmAr+THnhLR8RzCnpBcKx+IHDc15o/q6H2el7L0jE MHGH//LCqohj/K7TvTBSGq9buEbLdzx+y6OtfZA1wxQ5seGFnUUB36X29YGD xOVCCSZvvFNicGXItA/4HZhJLlu98WsQ6436k31wo57ZqGuHN8p7JW9nb+iD 4/8ux3ALeuNZrc8aNkt9sEWJ5Y2RqDe+0JyXeLm7H+LyWEQ+yXhj68497o7x /XA6inX2paY37gozIBq6D4Dim0SJKR1vXJnubinIHID5KVY7KQNvnKJrNMzv G4AAuy019y29MXrm+W11OyK4KmxNS/T1xuuV/+w/eA+Cmo5lgl+QN3Ky71g4 VjAIvJaZ5wzDvfFXK4/Im8lBaArf78V+3ht3b+hpjoYOgVKxhdKNFG/UZwht ibg8DOzy93tul3mjfd+fkTqXURgHSvOZCm902z00Qrw4CjVmctX21d7o5eUn Wf1oFE6Hfnwi1OSNBA7/9ZrJUSAXkSNzBr3x9KE24TshJPjwcV/wBZI3brOa If9KIcHdlpMe7uPe2Nyutq2tiAQmsyxGEvPeeHnxpTzxBwnK9+8TLmAkYKBF EI+zBxluaZ7kTtxCQMe3d5craPohxOQDox8nAbeKx7LZ3yGDZLDZD9mdBLz/ sdNGsZkMG1F3R9lECFiaQf+RQCZDXzKpa0acgFPu94s/rpEhpTDiw8u9BJQ9 mlXQtocC/lVVxSkHCdj09dXni+oU0PvGXBCqRMDDbr8eHTWlwNrMnZRDWgS0 uM/4d/MEBbr+jsbx6BLw662eyLlLFChi33tm6RgBW4oa2iZuUcB7X5VbmQUB CdI716dfUwCOMFvftiVg1/zs48UPFBAyNjU440TAvICC3vUmCvxyvKNh705A fU3NL1u6KdAaMCqvRiBg6Eu1LfwjFHh+TnaPUAABLwQdiJCapEB80gnBvyEE jOAjqirNU8DtfiXnYAQB/7u49ukoTc+oP2di+BBJwAcnElsd/lGAr8JkJTua gGpdjHbhDFSYb7o9HRNHwG9/C7Ous1Dha//IsFsiAZW3PhF4vZUKBVMynZhM wKLLdxIH2KkQuxbesPsmAeksX/dzcVLBeWtlJcNtGj4BfzUzmq0syPSacp+A J4jKTDkcVNgua5Jf94CAPdYKjf/YqOB56Kwu92MCHlxmtji4hQqlao/JDs8J uHnL94EpExWYddpj818R8FFgRqHbJgVsjf6Jz5US8GQ39wOfNQo8tZStUasg IInJpN93kdYPRxu3+GoCegk7jftOU8DIK3ajpY4WT/81NpBEgazAl9mCzQSs u15340wvBWYj+jW8Wwl4qOqwwM1vtH5EMQ8WdRHwz00Gkw81FCAnuwjpjRBQ aPIXu1cBjX8zrr5PodLWz/1KnrhDgcvZZfb9U7R6CW7PS79CAZkizjshvwh4 fmdu9AVfCpx7q6b8fo2AP0Us/zTaUODrR0I34yYB1+ZHgix1KRDS+mHHva0+ iAfv2GuKUKB0Pji1VtQHfdOuKYjVk4Fl7d5BLikfnIgQ+L7jFRns6Otb7GV9 UNghuPcs7X7/2S7KOavog+I5sllvfMiAii1XBQx98JDPrTOpmyRIO/JHxsvU B6OXmn5/ppKAoivd+NLKB9fuZzHdbyJBgnUMi66rD96eDT9llkaCb6cOXAqO 8MFx+dDz18RJYF+eEvU52wdjvg29Hz08Cs9rKoQ5H/ng3g15JmeBUfjbOF5h 99QH4xS9btQuj0BOv9bajxIf1A3M8jS+OALUP7Ondjb6oOxI7Fzk3WEI1TQL DVr0wbrJx1ULI4MwLKrX4vzbB5tL6IS9Xw2CKZ3afpN12vpdU3M3LgyCXK3E zH4WX0wicVNVJQZh2mDFZ07QFxMrwfZ7OBEc9s58GRH1Rbueh9ZbDYjQyD4q 1Sbpi69Fi+X1xYjwpKWJ/Hq/L0Z4nNaitg2At3W26wltX+SUf5x9W3sAug6n ffDU98U4j1161eIDoLszUcTK2Bervo7VyNAPgMRA2ICiDS1++JYH8Us/3Kwk qEk5+qK7V0iBwnPaPJbteJfXzRf71W7/G7/RDyNuerbLfr542mWEPdatH0y1 1crGgn3R59t3qwiavvgocYC354Qv1q4GtBCV+mE/k2RE/RlfVO9IxBra+581 trPjbZQvEpr+7JDe1g8cDRyHnsT6Yh3/RB4PXT+cf0qfeifBF58p9g0nLfTB 9NWV2cRrvsgeffnCLWofOAbOmESm+uKo+iP+Q/190HR8tNAvwxfld15759va B6oHutkd7vvii0x/myM0PnrK3Rxg+MAXW9dU01/V9MHOhY9Navm+yFov9rCh sg8SOt7I7H1Gw8PjfCehvA9W3jxNFCryRf49Glvm3vYBISN7nO2NL7ZYsqox vuuDrtNpR/++80WnERH1L7T1evaJ+TNVvlj+b8d15ao+eKMWxTj4yRf/q0u7 aP+pDySEwz2/1fuici3r0D6avkpbJ3yq+uqL+luH5Irb+oB+2FH8ZZsvnvt0 JnxyoA/Cqs0uZHf7YqWBv0/7eB+M5uoNXx/wxXtgrRn4qw/M4tQ0Y0Z8cfOk Yl8pI63eXgeyQqi+aPFd5mYhbz8cOCr513XKF4+wC/qY/9cP2dICjmazvshW HdyRfYRW7y2c72HJF+t3vRy/adEPUVP0AvKrvpgX6qIq698PM80rp8X/+aLG zhayW1w/NF8fVaJn9cO90r7O9973g1po960Fdj+M/tdJn9bbD0/NmxdJ2/ww cKdEDt/vfkjcUfr6s5AfMu/dxp+vPgB69xLl4g/4IfvDqBTOzgHYG+GmPKzo hzlul/ME6IiwzUQFVdX8MPMD/5uCA0QYpJuw+qHrhw1Vqa/4U4lw0k//vLWD HwqbdmoXeg5Cvgpzs1S8H6r3s6XMqwxD0vahzpirfngzJe7My1PDEDZTOtSX 4ockaYX9PW+GQeOB90LyPT9Ua+K6xn9oBLpY6gSWi/xQwEYpNpp/FJh64ny/ 9PvhlHzp/jp2Eky/cgwXG/HDI7qzM/SyJGi7qnD+LNUPKzwY330/SoIsTXLK /jmaX39oz3Q0CeJ2VtxN/OWHGfmzdTL3SOC3cPMhac0Ptao5ItrfkEDpsfbb DCZ/zAk/ewQnSCB0QbBmbqs/2gX6fFqhvV90DgtNhtz+aGVmoLa6kwzfOPKG /gn6Y2ucxNOao2QoGY+csBPzR2WmrJFzTmS4W2O+UCzlj8OLJbd8wsjgfZKO 2eegP67/YN72gfZeGpn2cdUo+eOuvkJp0edkkJd5LSCk7o+WntucsyvJwM9w ReIk+GPF3axa5W9kWCe6ybXo+aPFbaW5cSIZyGUqyjJG/rj/+L13z6fJ0HiD G+PM/LHutXjEhVUypOtWWyk7+iPnl8oXlttp7/+uOy6pbv4YZ8l+14T2vrv/ DvGd9vbH7UfZzSylKaDfrh+uF+CPna5zZLeDtHnwhej5nFB/7HsW3XpKhQI8 l1fiV0/6Y9e32Z5bWhRYdW1JsTznjwIG/UIVehQYVi24W3jBHwmHRJimDClQ xxPzkOWyP/5zkTbfTdMnR9qiKo4l+aPt6Uv0dhYUKLl+vuPKDX8cXOxUzLOi 8ZXxuemmdH9MTpIn0NP46cGWswzs9/3xV/Yt87M0m7/+jNDxB/4Y9Xx0jo1m J186rXA93x+XDG+dKKfFM2qfMmp55o+BNmx68bT85zYiPLlf+SM/56mNMNr+ C5UnzpmX0uKDLp6MNaKA39nwtJvv/fEm46m88qMUGFEOe97x0R/ZNnzLBJHG 779CPu+o88d+ywjGp2oU+F4cPGDd5I9SjGncvgo0/UVjj4wWfySFtp133EuB CrlAtt5OWv/0WHcm7KbAoWl/CYF+fww61NL0cydNHzzxU3cY9kdsc32cwUkB UYKv5X2KP9LLXm2LZaAAx6h3nMisP17SREdVWj8vZXvdd1nyx25qbTr7EI1f HT1Lclb98dkcY79SKxkmu93I4owBaLU6rJhVTAa3W65/PLYE4LnlO12UPDL0 mLvwPOIMwH6W9+npN8lQ+9VRZ49AAHZ+MDxyNJQ2j3+yeSi7PwBlx7W7wqTI wHfBuiJAgeaPjb+dso0MyRpWHS9UApBrr72t1joJzr4zZzigE4Dykuvrfh0k sH5p7KlgF4ArtvEGF8+RgO2etsSR2ACc8Fl4GfJxFM6E7X94vDsA29gfeSue HgYO1uWzigMBWOFyNrfXaBhys6sshEYCkHGnagFVbBiam43pJycDcLoWPzh8 HQKRPQHul9YD8NpMm9BNmSEorjykGkAfiIvSPYIu9EOgb7nGbcESiNl06+Ht A4MQeuFKtei2QOSgu5vcfmMQPvcXiFZIBmJl8lefDYZBsA0LWcmVCcSunaco gyQizLAotyTuD8Tl4YmO7E9E4FX6Em2jEoiXChoFyJeI8Kw52UZDIxBVtE/e OuFDBC0P6/2S2oEoL186umlIBN8UyuC8EW3/1R9ZsrxEWJd6UdprFoi+RQn7 O/4MQGrlieSP1oGoY9+fdoM8ABWT9BrJroE44EHydisbANMLTTsivAIxysUh Pip3ACh8N2cc/AJRdaT5X23yAHDoimf+dyIQp5dE08b8BiC3f+IE15lAzAjh Hmi0H4DDYa+Mls/TzmM5yTllOADNLGckBi8G4mtu4b1GGgPgmq315/PlQLTb sSwwf3AAlhRZOp4lBeL79+oPhqUG4Erz92epNwLxQXD9VkHhARDxyIg9kx6I PZ3Xrz/kGYDi384OrvcCUXbVXyOGfQD0U6QOHc0JxDscuflFzAMwIPVji9yj QHz7JP+wMk2fhFa+GeV5GohmT5O1dm70A5Pl+fK1wkD8byf7Rav1frg7qZM6 WhyIDqylt378pemNC2x+DW8DsZBdZJ5C83/m64CiykAMkzO9qL7ZD7aF93Zm 1ATiO+Z69gWGAZjR8Zg7/yUQT2TOMGzZMgAX+2UaPJsD8XPf+/ALXAPAGzaf Y9gaiAwhwmDHPwDPWMpPy3cFYtsZqaYUsQHQyr5gurM/EC1eWOnt2TsAHYrH pDeGApGJIhsjqDwAvs1cG1RyIL4SEB721x2Adfee7q8TgbieGprDa0nr5+/s lyU/AnFu5B1hp+cA7EkhXL63EIi/R6+XhEbQ+iu13+XiCq2eXveuCyXQ+lv5 S8n3L63+QayZvPdp/bWo4jClC8KKR5uGjq8GIHLyElWJOQgzVDnCJr4MQB7f jnQG7iA0CAp2rl8ZgML8D/xWvEHImW7WYLmDCOWKfvceCQZhipihscEhIrRY fMjRkwpCeouRfDOa/ly/7vssQS0I/zaYHyXSDQLrLh65Xi1avhDWkOr/BoGn sKroP70gvJaiPPDJbBBkm7eXNpoGIcvYDGXxIe3/YKn6yOYdhOXwo6DAegg8 M3y0nfyDMJf1P/Pdl4YgWGp73YuQIFQvOMBkWTIE8To+TcfPBuF5wTiz+zzD UByzrSslJQgr168LC/TT/vff3lM874Pwta5GVZ/KKAgkcAd5fQzCvZsLXHwW oyDJVzH7pjYIoUd/cF/AKKgrcv+ybgnCR8wJaY2Zo+Ab+n7jNiUIsylcTaS/ o3Biwyt2YjIIY+2dpnl3kCDmOheT6mwQFtu/WKLS+D/9hdfW/tUg3GLG/ANs SfB5gpNXmCsYb/+RSNv7jATfT5ffDtwRjBHJ9HXJVSToY/YSrBKg+XcfXXNo JcGcZLmoi2Qw7vrZcmj3Egn+lHjmvZQJRr5ddZXbmWjzjw6n1Mb+YORxf2Lr yEsGEXdP2QeqwZj2g2WGokAGmTmOwjnNYLTNzcjfpU0GxZh3B1A3GOciphZy TcmgxelZnGoQjL3CnvMBNH1glMWhRDIJxjc1fquRvmSw2ffu7SGrYEwd6i9r PEEG9woPtTj7YBw79WGHfTQZzvS91ZL0ouUT39Z1IJUMubg3VtAvGCW7m2R+ 0vRE89PsWu7gYDRJlGXdzCHD0rbtLCwngvHEuHmX12Ma3rPxBuung/Egw/f/ hF+Q4Sjpd9Li+WDEfLmvUq/JEGIY+H3yYjA2LWu+vVhKhjvFw9wjl4NRzOI9 z8FyMtQIWlp2JwUj99dIJXmaPpmK/ZL+9UYw2vSV5MZ/IAPPtGrvp/Rg3N3z mWF/NRk0LAsFy+8Fo5+xr/LeGjIQKsSci3KC0e13iVo0zU6RuJWT/4hWL9lP av/R7PIkFtL9p8G4lhIQJ0uLJy2elbz5MhiPahKTL9Pyszn9JCSWBOMtn8Kf GrT9FWvdn0a/C8aL6XXeFjR8zvu6piOqgjEpOqK5joY/4dax/QGfgtEwjlP8 Hu18r/5WhLrXByPXrTtRbbTz93kdKLH9GoyqPPd3BReQgeFb3q/jbcGo/FbT KjyXDPuU+FR0u2nrg03TR+6RwTrrylm1gWBc8LbyrkgjQzTTeuXBkWBs3qcS yHSNDAVBoRt7qMF4yCbYvSaODGsatpd4ZoNx0ulP2D2a/pN43PRly1Iwltc9 DKiizcfHOTW3bP4Oxn2ft/O6ONP4eEjy+gx9CFa6yPyV1CdDw9E7rSSWEFzK /P7CXJ0M8y/ZePrYQ/Cpod8M6wEy6MYs3K7jC8Guzwo5krT7OClanZstG4IP Ndjdwokk2J6oQLl1IARr3b48sPpGAvW5x3uSFENQkq3szSDt/idXJz8/rRmC a+3SSotZJDjk7lhqZhGC1fY/pNMdSODY+H3lqG0Isu5gdeY3IEG8vLaahhMN T/HeWhdlEvTQyXyUIYSgDRPhvTEPCc7lLTfQnw1BjYcGhdsbR6GOnEp8kxuC cycTXMsOjELMgX1yNx+HYGLm+YZPwqOgeu5LVMjzEJQIDehq3zIKhdv/7JIt DcHgiAfL/PUjkI5e7jkNIWj+pH0uXX4ETJP/vT7/LQQDPy+rv2EfgS19d+gd 2kOwrEz6NM/EMESFfnu4gxiCDJEr3a9yhsE75/DYldkQrBLtkZShvU+i062H fZZC8FdUldC2+SHoOxyQoLsagtySz7tCW4bg+Pec/zboQ3FSm6P4dfIQKK2z BkTwhdL+94XEGe4hmD32sMJcKBRzeV3ljy4OwtNbGuwHxEKR6/X7JYPuQRDZ F144KROKhlscLHyyB4HJcWDWRSMUU3tbPt9WHoSPj0/CEe1QJLZdixwVHYTI Ba5UAf1Q3OvK5Ei3ZRB+XNE91GkWiuTUtMSeQSIUdA3FvrYORa8pHcfbjURw F4/suO4Qipa+dgQoI0LXu8IIA69QZPdMHna9SYQUxmN1e/xC8aQe5fLQRSIY mJF4GYNDUeLZw922NH5gyDxPGA0PxbhfHRe/eRKhapzv7YfToShzaJ+wng0R Tiu8Zsk8H4rdQm/dagyIIB9jZBd5keYvcnqip0mE6SbqE5vLofgm6MBopwIR 8vkurCokheLg+219YbJEcPUQNNx2IxQXPXbZie4mgsDLN/d+3grFFo6KxmFB InSsmkw33w3FrPZbJqU0PkvWm1R/mh2KLKOOjHlcRNBPjbt2+WEo7kqOayxg IwLdoMig5xPa+e72CjSwEqHiv3dyWBiKVVmF3owstHkzwiJ6V3Eo/gk79N2Z mQgHqme+/ykLxeqq0/910exJtgTRvopQdHghoxJAi39oKx5aVh2KjH8qrcVo +Z0fVlSn1YViIfeep0ucROCftd4W1hSKfv8qFCd4iNCmNudu0hKKn1y849cE iJB0+Wrx3s5QrJHK4dorTgS9dkmGLX2hGG4atnFGhgin+PL+mQ6Fos7Jk48q afUpcBBdyyDTzsPJw35ciwg92Zm/BidCkT+wblHamAisZIF5yZ+hyFsT9dXQ gQiq0rdnAhZDMfpx/rtiPyL4BeyYKP4dir86ArSdzhKBsMYyJ0Yfhh9zrRS8 c4gQk/klqJYxDDsndlErSohwWzN+2oclDHt2m3Pr0O5LfSz9+Ev2MNyruyb0 bYUIw5I1XhZcYbg8eUW5lnsQfn+JIf3aFob3t2zodsoOggzb+uAR/jCUib9j IOExCFhY4TgiEIZmpdV+ljGDYG96ti9OOAwvnTnxLTprEK6mrXQ2iYdhWl77 tXziIEwLLTTb7QtD4ovGSAXvIXi5b7w8AsPQtN3nrEnGMNR/z1feqUvDG9B4 PP3DMAyHepVWHA1DAvV3stz4MHCVjr6iNw5DtaeC4mKqIxCmQSy4YROGdzz0 Fp4MjYCCSVv6i4AwzJxUjGBNGwWjuRQes+Aw3GQkJ1U8HgWvmyapi6FhyL36 2vvQ+1FI726+pnYqDCsvx21YjozCssuXuIYLYejXxWXe9B8JuOji6QLjwjBv fE3rnyoJpB/qxHBdDsPgg/VlTYYksB2v/l+F1h1P5fuGNQgpo1BWQ0lFiYb9 3EUlWprqS0hRkc5ezjloSBLKKJmRzEQZkVVGUhLJPue8B1FCIpGk3/P78/q8 532ee733dV2fz2EfDSIBqd/0wdILYvTcu5jUE0GCg8ITBpopYuTMc3p/4i4J 5mgnU4tyxUgqWELvQzQJetunH4hKxeho+q7+kngSbHrdE1beLEbThV+tjR6Q gH6Qk0ETidHDmuCk9GQSpIkX78v4KkajPU1OUWkkaNu4Pj8U+63oUfoLuUwS LLTWVjCX7EYwa+nSK49J4CuuMD69AO97+RLG7yckuN16r1VCuRuFajk3X3pK gkaLuhYVjW60VX+2YV8eCfSvTGxKXtmNhGYpoY6FJFhzOk4tRbcbXbO1GWoq IgE6O9OvjvlE78Q32z0lJEjiaCyYZ9SNPnqEpJWXkWD+6rBt7tu6EYexSWrr SxJE88u0Tcwwn11rdsuqJMGr91Y1vpbd6E048+XKGhKUjpA2mGL9Q0pSWxZd S4L8TUtunbPqRktyS7nyb0nA3vB6x/yd3ai83KXjWj0JxN2dZSsx37m/n2M8 3UCCrN+HHz3BeIHgUSSlCfdLpv/JU4zzvu0Z+9JMAtOXzEI9jB2nBg86t5Ig Q8W7RAufN0cmLPtTOwlOf5VpuIHvy1A1ktvbRYIlk4s2XMLxHNJpOf9KSAIO uK36gOP9vZn92lhMgqdbY1Zm43wSrTRWP+khQUfelVxZ4260+1D55dV9JAi/ ZHuxH9dj2OU0EfOFBNoDUyq7NnajqEuSlkrfSKDUq8jWXdeNLPhpMYFDJAi9 stc/DPvp3mC73zPfSfDrcJCenxb20zHDx+ijJHjzLyv4t2o36ni+Wen0BK5f w/o1d2S6kf/r1kttv/F5ubUD+bOwnmzh1O+fxvFJfad7/RYj5lhFoNksMnxT d34R0y9Gizfs+7d4PhnmDloY2pWL0QvzEcebC8hQEJj8c2+eGJ22Cy+epUCG ib0eyb/SxCj3XDt9eDEZHsUFOOy7LUb7k88OvtYiw6lv6Z9PnhKjG0v47RxD MhCVnYOpgwTySr4jp7OFDF9dFpfv7yLQ/g2pqHEbGXKpISW1bwm02PpDyhoL MgjY30S7MggUf2klpXk3GTYNGU0QZwn0tKZGdoMTfn5+nsrFAszn9p0W7c5k yJIJXDU/QoSYXd9JV0+T4fru2vpmsgiZjy5p7fAgQ3fZI/v5G0TotaZn8nUK GcreySl+TheiLpq8ufg6jj+BemdhgQCV/dO+FBxEBsXfJhby9wXoQZBx0rZb ZOi//uF+Hl+A3BNdpUPukIF6Nd5Q2laA9qxnmJlEkoE1Y+JXaSBAegVB3r13 yZDhn3XbYokA/Xj7rNk0jgy6Nu2FAV+7UPOx2nl9CWQY+Fdx1/VjFyoQd5ne TiJDkekNhUVlXYg7IfmgP5UM5razrshHdaFTl9Wa72SQYUhvSPnslS60fcHG eZaPySBnpGf2iNyFpLQdLkY8JYP+kQjVmYNd6Mtjr0SUT4ZZbde/ae7oQm+N /T8OFJLhE0zom23uQtmVkVJRxbheV1uJE9i/he3PMNleSoZ7F/6KeepdiNpe 5jVYTgYPyAjKUMD+7czHhLuvcP5vXyj3SHUh4+/9TTuqyeC8WiN33UwnUudM Sw6/JsMvOyOlq5gPZuYqmkTXkcHr3qycH987ERG62su6ngyh1UcH6QOdqFLN NOF7Axmkbq7LVurDfJayv+l+ExmWnf705E13Jwo0cJPc9YkM2etO+MYSncjz BdP4RysZLl1YqRss6kT7dwV7xnaQwW2SFBuNsUFjYvxuAT7PdcivGv++s77W oU9Ehj5Dw5LZPZ0ooG5E6Vo3Gc5cPXPoCL5v0+sl9dqfySDr6D1RhOPpqoTr r/rJ4GrqP9topBNdrzi33XWADNZP7YvLcD6GpWF//g2SgWs9+fk/nK+g6Hl+ /Hcy3PlBSMrM60KBBcQli1EyjHxk+1bhehk9k17X9ZMMj3/qrQ3G9RQ+Mejl TJCB5hSR7oTrfSPLIX7pFBmU7DzYW3E/Nqf7OTyfxvMTW+67CPdLlJKmdPwf GY6k1Qb8wP0MSvrwbnwWBcq6pJXqXboQEbN8u9E8CrRz993zwvNw857Nn0YZ CiSteCiri+dlayQpnyRHATvS+bCG9C4UHFKxNluRAoeKcsLf43kz9ndRWqtB AdrBc+7fNglQDy/w3WstCizbnvT4vJ0AhXByAtxXUCBS3eRS8lkB6qVK/EnW ocBKYdQ8vVgBCnNP7NHaRIF77m9i8xWEyMytNq7UiAILpQsktm4Uoj7nkeOO WykQssF62mC/EJmfgHfRZvj9+D4ryi0h+mJH5C3eRQE5VXWauoIIwablAbL/ USC4n/W2eCGBvunbQLoTBZgSCQtDlxEoah1parcLBQRVleiQAYEGtSu8r52l gPIml4Db2O/fU3E5LkGigBPzz3xPzN9WiwIVEygU0DXKGtNPItCwfM5bCzoF JgteeBblEshaRgJ8OBQ8n+XHlnwg0MifBN1fVylgJC3y8JURo3Vns155XKfA wR6rel0VMTrz/rlj+w0KFAzKVF5bif19YmNYSQgFbjMte/ebipGSrHDdhtsU qPt6Mzl/pxjtpQ5UJYRTYOzhEenqg2JUsXPO78v3KKDz7sz65rPY/2fLh/+8 T4FXvQEODZfEaPMSDX33OApwyxTULrDFKG1gs+ueJAoYrPP1ZdwUo+7D2/8U P6SAbK1KUG+4GGmU7ovUS6XAh9kPxgZixCg01P2NfBYFhkLOS7zIEKPaSYqb fzbOdyxL8jLWD7NP+/4dzaGAj9fJFf///6L525t3zzyjwNTM4eO1WE8wNt/b 1JJPAa307lc7K8UoJ+7h293PKZBqMhJ9uFaMBqRyzxYVU8CZ/cXyB/Z7q0il /9aVUmBjVPgyrUYxOtX+Jjq2nAI9Pebt7ViP3NvRYrTwFQWWBDRprGoTo6bM 7nrfKgo0GD4snO4QIznl7x4/aijgkZsa7yYQo138P7Pc3lBgMNKyyQHrF7/+ ebHNbylQRF/u10WIUfHBxVt3vcfze1fweVgsRj+Lln8o/IC/hymZU2HdYrRB W//C2o8U+GMmd/YlxueCTebGfKLAhGvz5csYJ43vjJdrw98HNJ1rxu93nTpk zO/A8xksbi7E56vUnmr63kUBlx63B/r4/oObPL1cRRT4Xni+aiuOL+g+U+qj mAImow9RM46/as7VROteCuh/324yD+c34xVmWtBHgSP/JMUfcP7GLbHNa75S gF2c72+I60NB6d7R3ygQH9Pho18vRllp+dLzhylQcuGmWSWub5/iqyTuCAWC VPPtxnH9l/u8Nx8exfmUPrasLsN+ubejxXmcAplc5/LNRWJUXzAmazVFgemE 1NO/s7A+XC6RkjeN+01mrz/0SIzghhzS+UcBUWdtrX2CGOX9t5oqM5cKqfv8 OfvCxGi4atMCHykqHAnReLQvUIx0N1imDkpT4bR5nHDaV4xiJY53NizAOIBj QPbGfvy8G327AhVqXqE3pnh+FT5ekn+mRIWp5elnS/7D/j0l0CpKlQrxdyLV f+wWIy/b4kzHFVQY2F5APaMpRuKNxupzVlEhWO+4i4Ui1r/KBUHpOlTgvk5V bZ8rRtuJ3PO/1lPho6KPvvs3Aqkw0teEbaVC5E3T/7YUEKjiwb3kSjsqjGz8 qZG5k0BbrqssurCfCpf9gqVstxEowyvisoI9FQ4ODYu6dQkUuS3M1ekYFVb+ 2++oIEegC/XXl0244PO/bT7PTBGhxb8ZMesYVHA/+ONRQq0Q3RD+lG1kUWHJ ep1y+2whmqmkcJg+VOjT6NnnFiFEX0O8T1T5USGXtSC11FWIyla5q566SYWj Q3rzJ2cJkZFsb8DcEBzf3Pk7DnwToLTvrr8ywqjQsD5Nd8snAQovdvo0EUmF CuSX9CpDgM4dPBp+O5EKkgvmvaU5CZBgy8fZxslUqDROTGnC+/eQuj1FmEKF asUmuX5TAbLo22u/PpMK6ndvvrZWF6Cnb+sqGh9TYXtmtHmUnADp5toYsHKo oOY99Tx7pgspca3lq/Px8ym6lNVnzE+ur/ie2DEVC2Rqq9u70N9dMKz4ggr1 Zra6mg1diKJX5vS8lApjWh5ye6uxflA0rz9VgetjuPXI0ZIu5DRRZC5ZSYU5 9nI3zPK6UFPXtqzMaipEODIGJR53IZtX+eqHaqlwgnWvJPVRFypNNbo5WYfv 854Z2/SgC736HdlBrsf9njX9qh/7uxq7ybXfGqiwumrQxT26C9XFnWSfaaLC prDhyWzMX++/l9QKmqlgRHc5+CoC37d92ZLjrVQwsZBb9CC8C7WE+3t8aKcC J4H3xQ7jjs89BXu6qDD9ffWaSoyF23ZJVQqpEHebIpCK7ELdN9KOmoupIO+w UVX1bhfq65RNye+hgt6yN3lj+P4B/Ys/N/RR4dnR+yaxcV3ou2+DVdoXKpQ9 8tBQSOpCPxs3ha/4RgX2raj4/aldaFI7ovv+EBWsb1QVHsP5T9N/bVo8QoWk nWuOrMH1kah18L81SgX7arVF5S+60Fy1Fx+kxqnwNI/krFHVhaS9NJf7TVAh YM2SOxb1XUiuzPfS799UcEskpy9v7UKKCt1llGkqhCwRX6sUdyGV09YLB2eo kMd616M91IXU8h45nZ1Fg/XGT9eg311opYPn9HEpGlRqnePFLBIgnYx6u0Zp Ghi/XslvWSFA66Y3xtjOp0HXfzxKBdanRok/TSwUaKCqcW78zkEBsv7CY65U o8G3zuW06rsCZGNK1MRo0MBs9k4ZuUwB2hu8Q0V5GQ1cTKTiiTIBOmowL3/e KhocD+/5vewL1sOssNFBfRrQhnNrz4AQXZdOvli4nQYZspUmM7NFqE631m3v eRrcvrJiOA3zddSghWmRJw2oLawglVPYX+c8U9DxpkHcB8s9HhcINL0tofQf hQa/l2avf3SZQBt3M1SfcWkg5ZTcuhvz97Ts4NAyXxoMTn3K5pYQqPa9a1Ww P87f5Ppn3msCnT62j+weQINoiqJxJ/YXEWdXvV0aRoOG3rF7pXjfuKy9/yDg Dg1itGO3KS4UI/0hedZYBA2SVncma6mKUQ3tz6r6aByv7uNFzrpiFG5M/mMS S4ORUw8uhRjg96f7Gh/F06CF8syMhP397ytNfL9kGuTuW9pujfdfzW6bo0Mp NFB+KfF0834xujO/bP3JNBos+7BRs/EI9vcNRrNfZ9Bg+gGpcQnen3rh6W1G j2kQleL/RNZVjCaPLXuS+IQGrW/E6SnuYlStFnltwVNcT6ip+OKJ+TbJz7C/ gAY+Hxv+uNGxXnH/JX2kiAaOws8P7mP9MLHWS1Txggb2cjuvMniYr4bE+fpl NNAaZapN+IlRWO7x4PsVNGDJ3fqnflWMnOj1p+dV0kBzeWF/bwA+z8TKhFZN g2OiHaH2N8To1/RzefFrGnDjAztdsR6prNjQt6+OBhcuUMuVb+Hzrj4sKX5H g4pZ8ywvhoiRo41a+JoGGsxwUvzOhYrRWrmw8xGNNJjjq1A4D/PPrwZJmNWM 651Wu84O41fhPireLbj/5VE7jDAOPf5jsKONBlfFthcq8PuO6h6VuztpUFMW uWEMn68r6orOE9Dg+7ONG97h+38mHSKtIGjw8+J9hb3BYvTSvXZXSDfONywr gRokRiHrLDX/9OJ8FAYfW2G+Ozn8bMyjnwaZJYOapdfESOfp2rrmrzQ4SdX/ TlwWozF6QuL2QRoMfKOuzsF8WGGizMwepkGvp3vneq4YBf8N2qf+gwaPDsWj oywxcngpsSpwjAYa9TbX9GlitPoaY+rnOA1sD038zsf6rkzudOr7Kfz9KTd0 dGH+vPmhlWf2lwY3qzJW8F3w+xH7jqT9o8G22fv3fDopRj/UTWZdnkuHcoMl vpl4fib/W/5Yex4d2OsNURyeL4nYeSeqZehQzSy9hQDzsUZLjrQ8HaJuyTTG 4/k00KC6hC6lg3ZUY6YMnm9jx5NymzTokFHcYvESzz/Ebn/epEWHo0dH48z/ EOighoKCyio6fInt2Xujn0AkjcflsRvo4HV1s291KYFYjhGelpvo4G0Z7dP3 lEB+sT6qhBEdlNIi5olTCRSmYXtJ24QOLblGa71vEyhHo18rw4oOaspRYmM3 An3XWMEvdKCDukSgutpcAv1ylF534j98n0ydseOICM3Efv805USHJl7sYHib CC3ULNO3dKPDu1nadnvSRWiD5n+Cqot0GGuYxb2wV4S2Ou244U6iw4uGZfnZ W0TIMm7tFmkqHa4mPGZvXCZC+zUng+1YdDg+YKM1PSpE3pqR5k2XcfxKNiuP xgsRw4n7hXqNDj1pe3QUg4SIH+cWoRxIBwXfthFDhhCFaBoOOtyiQ0rOoXUv DghRlNPSe1OhdDjQ/uTzOgshio+TsI69QweP5G2qi9YLUbZmQ4zoLh2a2cyk U9JCVOBUsNv/Ph3+rrU+XzchQGVxcWMr4+ggczbjRXm/AL3X9LJzT6KDhtFU 47E3AtTidHhiXgodVtx9pizxQoCEcabJ6al0yFX7ob7jsQANacr8GcyiQ8dG 9+9x4QJ0ta45wPUJHbL3ypdcDRQgNWaiUksuHd535uf94QlQrrZXvG0eHe5X j2pJ0vA+/7BtXXkBHWan/diWfEGARNw5BUZFdODNjjBpcxUgxtqG7Wkv8P0z C3UenRCgBS336zXK6JC+wvbjwkMC9PCy+4nbFXT4yf62eDHWJ2YbDT9LVtJh zeu28EJrAWrq/EviVNPBqCGnaspSgM4Hvpkefk0H37hZS0QmAiSxJTLQrY4O okv5zWe3CNBdscvitnd0UJzqmheG/eeGEL3EvQ10aH2VWXRqgwBVmU6uf9lI B08q1DWtF6D/+isLtzTTQfPG9Y7BtQI0Gh5qldFChwmVwGuPdQUoEP5r0Gqn w/b1haCM8bIhnf/CO+lwr365xSqMC6JH++YJ6XA+3+thB8b7dpVRuAQddK0p PON12N+O3pgZ6aZDwNShAAs9AfJJOBp09jMd7i5Tpn3F8SjtXaHS0U8H44tf Os0MBSh9cvDB/gE6XHF7IrV5qwBBynP9ykE6uMzbZtiI9Vqr/dWibd/p0NUn 6acEAuQ9c2Bn1g88P/lJr37tFCDJTPXG5T/pEOuvVs7dK0Cxx/sdI3/R4Y9u xYrkwwL0JodP4/+hg92RDHadmwC5ONlKjP3F87b334/XXgL0S0Yl2EOCAfpt dlGnGAK0yu1x8kFJBujtWvtg/00BeiHP3lg9jwHVa7MtkqOwniyxfmEii3Hm Ze/rSQLkp9zVtFKeARdhvf8YnjfVV6mn7ioyIMmp+DAdz2O2N3Vg/mIGfMw4 2MVpFaCu17Kzx5cw4Kj5mNOccQHaxjHZ9HolA+QqlWgPtwjRex3JUrPVDNDJ CMoS7hKiMx8/2OSsYcAig7lr+Q5CdEfvnEu0HgOSO5oTOrlCNCyMCvXcyoDg 2X+2hb0RohSrn0Pytgx4bS4qv+stQiyvTQeK9jKAcRBmFV4TIdtI75zTBxjg Ietx6XusCA33faHkH2GAVOIX47C3eB8ECSZOOjNgrcrzLo/FBJJ+pnZi7mkG rPJQpP5ZRqCOzuPFj88wQOmKQM5vPYF89Zu4EhcYIO28vmr/DqwfPtTMekRj gGaXcUKKN4Hu/57jdoDJgKuZrKtn2ATyWrm9apLNAMNPPZemrhBIkfYiwM6X ARwLwamEewQ6qZoz/8cNBhwomB/MKyeQHgx53Q9mQCJv2vBhLYFmzq17bxWK 7388U3+zkUDJxQ/DoiIYkF174mJEN4EGnaKVzRNwP3Q4J/fPwnwR0ML4/IAB t8MjVJA05tcni9pCHjLgQVHUaQLv8y2zQu6L0xkQe0D9xAZ1MZJe9/ZPUBYD siZVdNqWi1HHIWmnzU8Y0DVwp0ZPR4z4Dy8vu57HgMbGO8ONG7G/rS/3Myhk gIxKMXv5ZjFa+Wta3F7EgNWygU3KWM/81DK1ulKC41HM25Vr9n89w3yoV47n i3PHYNQS+3tSnmTLSwYgr2nFtu1idCH6h7tvFQMkQ/n+p63FyPzVhlrd1wxo PhS06fYuMZL/5rm26Q0DiIS94242YtS9KD3I5x2eh+HQJx17sD817/u2qoEB f+vlvMZtxSjgrPa+940M+KWsZZVnh/kxxCWb2cwA4dEdl1T3Yn1SGCe/opUB 6zbsQcswnhZ1kOracfzXry97h3//XnpJE7WLAVsNpMO0ME7cdNRIU8SAz7sv 66vi8ykn70TUiHG8S1FaAY7H+krD+KVeBhhx/qv7i+NVyZI7vrSfAedn1lGH cD5fm/c8f/WVAW9MM+4G7BCjkr8BS70GGXDi41+rOoT1hU4VR/k7AxoyxyKL zLE+PDCrq+wHA4av/K06aiJGhixLi3M/8fezTFolcQvWkwtc+L2/8PykR0QR m/6vX/zLXX4zAIexoEtfjArqq7afmGFA/6/cd9KrxUjVre/yJwkmqKu0p5nj /rIm51XZz2HCwjl6aQa4/2badrtspZmQxCwrPaWA/ftzr+s1skwQzP6vLkZW jGb2hdTuWMAEp2XC3njM/xWsRlszJSY8bVN48HeCQNbvjx/Q02ACY5fjiB3W yylu7LA0LSZ0O7xs6m8mkNTv+42rVjDBcdsVr+P1+HvRFh7W1GHCPN+5W4uw PtjHPuOw0IAJAdUJbiWxBDq2iuw6YsWEC01p6T5HCVRYdCfJaxcT5mxx9jHf S6AlB/J6vtgw4Vyv7ccR/P11sCfOivcxIe6QsYe5AYH1Me9C03EmrDph7Bgt S6BznCBqnicTnPOOhFH8ROiNfFaegTcTtHTc5Y/ifbEupX48i4Tvk1qw2MVR hIYaFFgpdCbMZQQY/TMWIcrqu9woXyZ4743f/e6nEH0sfl6qdBnHbytIduoV os0HO2ZCrjLhWk8xZUuzEP3iaPpfv8GEXdMDZ2ryhMjnQ/I1VjgT1mVb7XjH FqKHrW37vkQyYeXc8FebvfD+Ey5QcbjHhGOko3pTp4Ro5RDz0bY4Jvybdl6Y ulOI9v7M8k5NwPVWF3SGmwgR/Y94q2oSEwJHiw590ReiWpm9r389wv016z7R pCpEowr+oe7pTNiy3yvaa4EQqS8pON6SyQRbl63TzDlYz+gs/5Kfw4SBw7Uj AyMCdE//aM7qZ0x4HeTKOYb92MvNQazIfCZIm9w0NiMEaLHVT2l6MRNW8+bH MxsFyNJ2bWNvCROa3S/Tm+oEyMP+VPSRcibwrd/IPK4SoDCHcNeql0woOffo o3S5ABU7167dXMWEI5a9av1FmC/d//5IrmGCzkWDHzb5WC94GxYveoP7ecv/ 7MZcAdpK97h85S0TzrgEXo3B+sWFG2s7Vs8EXU2bVSEZAhR0pVHJ7QMTFmza 3jsvTYCeBUl1NjUxoVE9x1XmEeab22bJOz4xQTjhszn8oQBJRZM8n7YyQcIj oSAlWYAMElOMVnYw4WWWg/p2jE+kdvy53cUEmi4/4izGl7Plq2aJmMA5e1xv EX4/K986mCxmwk7h2ud7UrDeKmEfEffgfkl6y8ikCtC/ymwN+z78/jn75oPp AqT7tqe34gsTDnFqQpZnYf5sWvLY4BvOv+zzI+YTAeK276MnDuF+dq5nHX0m QCnEZQuFESbEJi1ULyrE+q6/UNJvlAlt17dEPygRoMnhwfrvP3E9vBp+LHgl wPt2RZTzBBN+LfnUPf1agOz+HjvV8Bv3l16uePG9ANHmBuugaSZ8RMNaTp8E KH7+y+HsGSY86lYiv+0SoFqlXwVas1iQqaFrV9ArQD+WrvcNmcOCUO6bIfUh 7Od1I+W9pVmA1J+kHviH9cfGulaBLAt23M26ulRGiO5u/ZewbwELtmxc9Oro IiEasD5voK/EAsaBd/7qa4UozNXCflCdBb0KA753TghR8TnKUkctFsyBP9Mp 7kLUcylV/HY5Cx7ticxWpgnRVr4iJXM1C9ik8aTpUCES3P9858JGFtSMLJh7 460Q7dAKNpA3ZIF0IHpD7RKiRw8M3z/bzIIC9as+6UNCRErzlflrwoJ7yPuj WEGE5hYs9Qu1ZkH8ibLeXydEaH3jvot5J1iw02lWpNSoCIUd+Sl7wpEFFlnH siNnE+hn6/20v6dYsLCgvnylHIHKhP09u86w4OzH0ckVmP8PDfqfbPdmwaIr 15XOWxOIPa9g98wVFjQmnVn26QaBhEGOn5MCWOBm6PS+FfuXHQvnXNl9gwV1 q9oms6IJJKd8sCwshAX3W/U8a9IIRL73678tt1nw4PnFHKkcArWox/1uD2dB atSZi4qFBEpcObBZO5oF00OBir5VBJJ8FNb0OoYFJxasCBDWEejC2m0kr3gW zB44GjUL64HNBlcz85NZcFOnkxGM92/0s3V7Tj5iQcI7d94PMdYPWxv7ZtJY oHXkN3sx9mevLbRW2mSzwCnO6HHoCNYbL6vKB3NYIHEx/Pnnn9iPWXs63X7G Av7d3bTxSQKNv1b8s6UA11tuck7ZNNYrds/vdTxngeGP2/csJcSo/P2prb4v WJB2c9FNxhwxWnVIslm7jAUrJRebn5USoxufMsm1FSyIM4xbKSsjRsMOh+Qv VrKgzeZe25n5YnS4azJLsYYFW58HTNMWiNFz5wTbgloWjF58b2cqL0aaPTu/ nHyL5/Hsgfg8zE+X3Qev/avH8aw83NijKEb9X+9oP/zAAmphcd9rJTHae9Hk pc1HFuz3pP5wWSRGOSOiU0OfWPBu85GFTzBWpgVM325jgQzq932KsfQZRY5M Jwt2Dz+LoWA8fTh2wk/Agr3frY1H8XkjVmvokyIWSJ3Uf7EJ416jp6OXullA mt95axO+v03bgtTfy4I9MZt1RnG87xbVDp3qZ8G+FIvFNKy3KuYc9mz5ygLf QPtvhXJYr4wJvuwbZMGNTU52ZZhf03rOuVcPsyDm97HB61ivxX4c6zH/wQKN Etkbyrh+YZV817wxFlx26v3iget75ZmMaP0vFhg063/1xfVnJEc4Jk+yIFrD +fypv3g+wpd1qP1hweN/lkfmTuH5pW75JCPBBr38a7SMUQLtcqs45D+bDYlx ewqyhglketjuw+RcNvyXMhzKGSDQCiPXt/0ybAio1HjCw/MzMhr8snoRG3I7 tlRaYf7u7VZFFipsuHJ67ruq1wRqa0oqyVvChvfBBrfVXxGo4unzwmRNNtid rx06UECgUErvY/81bDgUqqn9F/P75dOX1v9ey4Yz/4ieI1EEYhyaSiPpsSFo lezxkFACnTJUeOi8iQ2N56gFWf4E2jBqdt/CjA2f07Qkq88Q6B05POD3fjaw WsbjOtbg+1y15pLt2WDyt3Bq0XIC5dmn+385zAbpu7bEniUEitlUzm11wPer fV7+VBrX58cAJf80GzKKpxJtPoqQDHmHM5nBhhvJGW7y/4mQscDyqSabDWt9 lTl0OxE6t8dMss6HDansxhFFcxGqWbE5c6U/zi+Efvevpghdblo98fEmG4Kt 7h+S+SxEuZYrbf1C2HD5wm6n4FYhIjK04vRusyH9+KJNbnVChK6oWl2LYkP0 TtmnS3OFaNpIJnTrAzZIqrxfNvuKEK1PlOzuTsbxVjFjuCwhOik3e0voIzb0 NZmYu3kL0fPeqY7+TDaQspyNfP8Tov6DE/oR2Ww427fuRNEhIVIpHfODXDZ4 X99y6bwt1guRgzrRBWywDDpZaGSG9cesr+ydRWz49fNOt/1mIWq++Pndjxds mGXa+m0I64k5HeJl8WVsEI+t9ZDRFSLDXUKK7Us2qJeOi1JWCpHr047qX5Vs iONZdVVp4n2v1bokuYYN87TFcR5Lhag86KPngTe4Xn5vjEOVsV/71VD25y2u h45BhbmSEGm6vVNMe8+G7O4AfbI81jcNtWeONLJhmuWmo4/1io9ZdaFEMxsO v69D5PlClJH6UvZxCxvudtvIWcoKUfuiMqcT7Www5CsQ4ZiPpP2KcyS72HBB qPSBgrHxYMGcp0I2tL4JG+7A2MPh2bFTYjzPFxUt3uH3o6qepMv2sqHogM6Z XXJCVGOQNV3Qx8Z60WzEZqEQjcemHXD7yoabbIWLHxWEaJVMSpL8IBtGGFs2 f8Z8d5j+YPzFMBsU1RzseVhvXRbH2Zz7wYZAx6o399Vx//fdj1n8E8/PupRo 8+W4/0VRwxW/2GBUN3nedbUQyeuEb7/4mw1aA51F89YLkeWd0Iil02xgZG2T 3rBJiC7O3OyvnmHDYIVzbtM2IYq9EGhKmcWBo2WPSsYshehty9VbWnM5YO1x cnUo9stTO/yJOikOrDr3uztpvxCdUOcEaMtx4Jhr5vhaFyEKvM5ob1jIgWHP vJ33zuP5GaPocRU54Hp09l8aFc/LO8+mZhUOdEo4yngHClET10krYAUH7ATB J6QLhaju5MXJ1as40D7aFulQKUQvjXlN1TocOLXU5OBUgxDl/IwNkNTjgH2P qtaqASEK8eoavrqVA4UvdZPTVoiQneN/5VfsOLCwd/HEr2gR2mHqGa29nwNO czbArXQRMl3iQ608yIEN2mKbzUVYjzffXzPnGM7vrNT3pDYRkt7bEXrZhQMV h1w8KucTqMrshIs/nQND/Fub3toQqGTpedMVLA7sXrBSVeUggZ5NsBa/5HDA ZCFXcfdxAiU9u1cr4ccBTvh87uGzBPJb32bgF8SBiO4tC7p9CcSS+SK7/BYH 1hS3m6wNINCl/one8lAOLI8slbEJxvsoWTX6XwQHXmsYO0phv26ufnyWbwIH 4M9IkeNjzL+/3Tu1knA95z1t3vaUQOtbGfllD3G+K0P8RXj/qYVHnZ9J58B7 9VuqYdjfK5EfWcVn4ft+3ZC4W0kgmQMFmpZPOKD/Js/ZHe/TSdmWRl4eB8bD 4i3+e4/375fPmZqFHHib623ki/m+v2b8WmkRB+ru1Dw4h/2V8KGki1MJrt/W mnGVVqwnLiub/i3jgNcxzQc32gn03mX14riXHFDc/HVrRSeBaiy3DJtXcWAw LNChWID1jsbO2q4aDrzszsxkigiUP3UkifuGAySf4V8TBM535x7H72850Kdf untNN4FehVqonH7PgaWKh7at6CGQTcemD80fOFCi9ar0M8bvV+kE7f7IgSt3 eGJaL4GOXFKzLv7EAdP86vT3GHcWLZzRa+OA0JBkMIbx6blznid0cEA70zS5 G+Mv+yfISgIO0At6DeIw9o7+tv6aiAPx+ZaLtTEe7xF9nhBzYKvN+wQavo+7 oTnhQi8HDFJrde/g+Gaza08I+jigM/JJlov5K7CyZNHBr/j3tDXFhjgf+YW5 9a++ceCZ7YOcAiGBohxSrm8Z5kCgjISnNK6HRnL09rQRXJ+iSh9dXK+koVt/ 1MY4MFpzwFcV13Ot8eX8W+McKOiWXdTSQqCcy4xLEpM4vrzln8/gfmytv7CW OsWBm6FVuVW4XyWqzj2fpzmwk3i95Rfup9Xpw3EO/3B/I9abTL0l0MEJM0XL uT6Qo6mlzavG/dtu8DZHygcs7odW/X1JIKfgVde0ZXxgz1dvzyNlmL9WLPgt vdAH2o8XP7iO5+uqnZD4qOoD14PWO61MIZBsVNP9XWo+sOpIXOSlRALdJmqO FGn4wHCW1u6YGALF05/Uxq/wAbft1fV3sF59nuCXc369DzgINySu4hJocGyl 3z9LH8goSkgcw377cKzHsvXuPnDXZ6NDVr0ILXarz2465wPHYmwCvpeLUMta I0uOJ75/7vruPU9F6GThjOMbkg+YeySO2d8VodNNkfc9fHzgc88Nm4VuIrQq +s9aeb4PXHtkKD5/TIT6nF2LCvx8AD0TOE3sEaHzQ3ptkgE+wJKIPp23SYRI 0lXKD8N8YP4b5TXz54qQYcPaFLtwHyjjMV1sfwvRz8jQzWORPvB9jtdE07AQ MbX/O7wjxgfqnnrdruvAfDBQ0f01zgd0Cj8UWDbifZmjQ7mdiOs5anNIqlaI +JajYUSKD0i4fJ8fXSBEIOmwPDDNB6TynbLOZQvR7HelTzZm+sCjx86hEY+E KODEjff8HB/INfMbkr4nRDbLvzvpPPOBnTZxhkdvC5Fs/5Gh+nwfGPytrSp5 U4hu0ZbLab7wgRgn7rIoXyHabxYQU1XqAyE0P8ThCJHC7MF1XhU+YEI7/O41 He/fWvviRZU+cGZb/rQvWYgiQgv3vKj2gbUfEv8kXxSiY8c020/X+oDfya78 zReEaInmlXOyb32gxmHeXCMPIero+TKRW+8DpedkixLOYP7I2H/9xAcfMK6z ovicFqJT5DyVWR99QEV1T04N5oflxmqP0j7hfsQZffd3FqLuGd8tB9vwfHit YT4+JUTJ1Z+rJjp8IK666eIejM8E2x1JEPiAL9tv/CjGOodze3YRPjDv3Ld/ TRh/WapKHe72AdM5O49V4PMyCO7sqM/4vDd9ZZquQuSV2n3b4osPZKZ6NQ/g eDZ426z4POADi/7qzllzVohGNmfnBA/5gD3NK68R55P7ZxFsHvEBWZNT6wdw vpRX7IbOUR/Yp6XHuoT10OYbolNXxn1gA31jqgtFiH4d2Dm8btIHJBE8LGFg vlPJ5DVN+UD998lVl32EiCNQWMD56wOrWxvbn/gJkflDRuwKCS441HIdrAOE qGLTjhckSS64nDq9MuYO5vfJVNsl0lyIQ9OSJ6OFyLp8QUe5LBdiJRhPWYlC 9Hpv++RCBS7sC/A/Vv8E98NP+9wNJS74Lfg6RsL8ee7ZxdY5ylzIGu966FKO 50NtdsHkUi54yKUyND5g/dO/jtqtzYWi39M6dT+FKE6N3u2owwXqab+M8Bms n/aV27fqcsHZqi7zrrQIheYdNninj99Xtpi7E+vPJn/uUP42Lqg+37Fk0EaE tPNrHA1MuVAQp5UMR0SI9kXhXYY5F6xnrdhd7CxCygdSMhK2c4F28O4FRaYI OWi897hhxwUVpy/fpx+JkLBgWbejMxdeovLb4XMJtHHgvH2rKxcqY5Z558li /tTMq7A/w4VuSsGnBgXsF67aJOw6z4XBnp1WIxoEOmNPdjSgcuGOaZFh9mbM J1dfvM2gc2FkrspPtimBpJ5Lmq1mcYFtlRS5GQiUqnV/qRoPx1MvGifZEWjg 26uWOde50Da5RFbsQiCzZQt28W9wYY+hBmsG83fwoeP5kze5oCSV5SnhSSD9 om/hQ2FcYL3osntMIxB/cMucc+FciCHxfx1lYz5a5kfpjuRCYIp+npBHIFLA YvvW+1yozYiwDcZ8/7LoVIV9HBfm0ZDBkyDMz0NpG98lcMGo1Mo6OwTricMW C18+5IJ9Bs/LAvuVudev88xScT1bF3x+i/39keLGwfx0LkQceLzdKI5Av5a7 v83I5oJktuunG8mYb2oqXy7J5YK/3xnP848IpOu54nnAM1zP69ZflqcTaLuC b/bPfDxfHQPvn2Rif53f9fD0cy6sNd+cqpxNIOpJ05gPxVxIf/Royj4H5//v 7m3LUi7wCjU8zmC98ejh+PWsci6IVDfe3ZtHoPI9h/lqr/B9S8q3yGJ+aBvO oQVWceGiv9pUbCGBRsMXev6q4cL1JsOcuUUEmm/i5XrmDT5/ZcPq7cUEWiV8 c7zpLRc+tPP1D70gkMWVNfvhPRdaROq520oIdEz3mnX2By4sJ6158APjS/Xd phofubByueF331LMtxTYFPSJC31HvsZ3Y/xANX7NZCsXfvRzXi3F/FVc8kfT vYML5x15Xqsx/uh6YnFzF/6eUmyLJDEelCqU3SHC81U60F6M35fMWjwrR8yF Bdzvs3ZirGVPmdDs5UL/sc3nHuL7jX81DN3s44J0splDO47XPka/9/cXLmgr Wa3uxflcgJsdHt+40JW+Qrsa53v185cPn4a4sOH14jzucwLFBe16bTXChTnm TTbzcX0KNj4szR3lAqfs8SFyPoEammflLRvnQuq3j3uePMP6hO2ccWsCn6fX /Lw6F+u7KrW756e5cDw8aSsf60Gj86xbrTNc8JIYoa3A/dy7sOXKzlk86HAW hCak4fl0uE1aIcUD7q2/khvxfNz9O+weKs2DoEuUpu2Yr3OS9jr9leXBqbnx RwzxPPUMzrNtl+eB/eyce0/w/E3fPgu7lXgwmnBrtmU4gVS2VW7NX8yDLfHF Zx5j/2zjz9e+vZQHWdMPEg0DCZSlPD5to82DK0E2n0aYBKouPjRWsJoHLZ6L XidSsX50zvm6SpcHRae+7za5RCDFDM8WCX0euF/cr6rrjv25ZfeT51t5kOn6 JkTtMIGQR8NpXVseqKhUFexZR6CIwPgNb/fyIPsYpe72Klyf9ItTFw/wgFVy bddHLQKFDc6/8+wID9xcHrrbLCJQN9nmpaUzDwQPxmP3TIpQAPflsqM0Hjy6 Rc0TxIlQR1zYtwkGD9pEebQ/d0RoY7lz4X02D3T3io+YBopQ26yZ/QSfBxMN Gat0qNgvXDfle97gwWelnsP/bEWInyZjuzCYB1XNG45f2i5CH9+0KeeG8OBk 7gvxYmMR4soxH/8K58Fa/WNvZXRE6P3tZ13+8TyQCNZVaMf6YuWzy2mrHvAg tWpeoNFfrCea7Wmvk3nQLfAIah7HfKk6Mn9BOg/u3FLl/ugXIppxeeuTTB6s sXs3RhIL0ZsTIcmHsnmgHeUosujEfBWrZ3bvGQ+epBqZ1WC/VFP6R8qsgAdX VZSirtYJkbqorknwnAcmp/VVo6qFiCRxP97vBc4/2GbqT4UQVa04f0G7jAdn yxczC0swv1gZb62p4EG0rEPEm+fYL56ZN/t8JQ+WZQ6aGOUL0atrLfXza3iQ w0YHxnOxv0tNic6u5YHq3BV5CpifLtTSztq/xf28d08+IAv79a9Wm37W88Bx r+vI0QwhWjx/0d+oDzy4ztX97JeG+Uuvu9bkI47Pq/DSvFQhKtmXG9H1iQe3 ly9s/poiRIqX/Fx823hQeImw1sXYPeyA3spOHlA8v/989VCIinO1JqsEPOh8 Mzq7GOOFH4cqPQgeHNuncGAB/r3bz5JQ2R4e1HOnH5dg/Fw5+L/Hn3G9fjj9 fI31lty2/9Yc/MIDW/9jHRtwPC4O68ZGB3jgvZHoGkkXonz277LIIR48faJM WYDzkY2pDTIe4cHqL4HyV7F+O1Vy91jnKA+eRTRJHsH12GFrN9t+nAcJk7Rk qzwhWt0287hmggdNZKcgX8zX0u5PT5hP8UBn56oZqRdCrIfPSj6d5sGh0i1r 2suEqMF/ae6afzwYq8mZPf5KiJ7K1zvGzeLD4mbzoBOvhYi9fnNeoBQfvpl5 kCcxvzsW9TvPSPMhdo4PyaAF68vdMfNp8/mwLrzAIwvPh5TbbDdnBT40VnNm LuB5irj/QXGrGh9uMOTXtc8SIZbu1dJMDT74lgXvkpYRof8Ktp1fsYwP7gms H94KeF6b4ivkVvFB76N2ZecyEcqRuXipR58PUU2NQX9BhN6yZOrDtvNhbIZ9 MCRIhLKlSllS1nwoIj7uto4QoTsRpFXcXXzoFy2olY/HeiCn1cfDjg+XD817 K8jF+rw/ZZ3lUT5kBvaqKXWI0OzjOwK/neNDor71j/+UCdTXO27k6skH188i D3s1Ar2hpItaLvIh6ED5Nstl+PsPUdj2isKH2fRi49+6BNKsEX6+x+XDErWJ +GYzAkkcuXN7oS8flnsqVpzBeqBXvNPiqj8flMb+mfdYEyjjb1bEpQA+ZJc3 qqfuw/t+i4/VrjA+qOX84G04RaDjKLFq5A4fnrcmK547jffVnuqdMZF8+Onz p+wK3l/PnORtRu7zgdO+QMPJm0BNHpvf3I/D9b1gX7WEgv01+YTtzkQ+pH++ dPEpnUAbApL33k/hw5u2dEMu9kP7wmrrrdP4IHj/8U6GL4G87g/t/57BB8+B Y2HPLhMo6KHSh+jHfDjZk+AVdY1A6dnb7K1z+LBZ9grpEN6/tc8dm4af8sEx tmKqD+uLvlf+h6Pzcb6/I70P38J82/r26HAxH3KmwvpzsR+zEo+03CvlQ7j1 xrEkvN9Pf1N2sKrgA+kIbep8JNZf46btQ6/48F2jIF7qLoES/jmfvFfNh4gK xi3WPeznZa517qjlw3HHXQHlWJ90LcpwHKrjQwszZm/nfQL90WwQ3K3ng/hF TeFb7AfVdH+e2vEBx/chLi0slkAmhkuJwSY+DGtMSa/D/ONgbul69xMfLIHe chdjxi637u1tfLglm6DUgXHkwUC3wQ4+LCU7fxjBOO/k494oAR/QSrcNXRg3 nWk6u53gg5PanEOxGP/wnuj71s2Hv6VnaZswVmBrnIv6zIdd61Z/jMH3b7yy /St84YPimV3FnTi+/bfcL3wb4MOfy/uv/MDxe929+S1yiA+6pwVBApzfzQc5 XjDCh1KP/h2JOP+MzE9DA6N8SJqbstoU16c2f8o7chzn98cnOxPXr7982Qia 5EPcq12e47i+UnXW5IEpPmi+tJpUvUOg1c3nRyP+8uFHh8boojACWQtDqEjC F8JCNvz7ivvlP9pGj5D0hceOTeZrbhAocfrvL0tpXzhSvPVrKNaTZVLarK+y vjBHoJr76Qrma7WLHEsFXzj21WLiD9af6qvv/Pmi5AtG34y2CjkEMt1YyA1X 9oUHA+YaDzA/M61m+X5R8wWdjOvZ70hYr3lGXrmz2he4jS8ora6YnxnFcy10 feGFSotGpxOBDPxE1/rX+ULo+NrXr08Q6GLE2kBzA1/Yr6H73MUe83FJaXCf qS/cH/uq+xQR6Nxv59EpjJfv0ncMxfjLltkO8ma+EHR4abAXxv3Zu7SNMXY4 /lOsg3FfYkPRDYzr5MbOxlji7/OquE/P3BcI/p8PVywIJN4ruZ1q4Qu7Zjg7 DuHv2eVG6qPrGFNGFspvxJio3iMXi3GV8+22+f/HliGtVRiv8b5wuhr7AcJA 1VvF0heEhzPsjTEWLl4bU4Tx4J09iZomBDpl/1biPcZzR+rMp4zx81sX3bsx Ppvp1NKCsUDq6ab5yBf2jJdLhGHcNWla64jxbVGe4WyMHbcI9MkY9xnPFAq3 4edk3/BrGCu7XjB9gXHnQOWpbIx3tzzbSsP45Br3qlcYX/KNzDmIcYeb9LpW jAueJK3R///zxIzQbxgbRApiZP7/vGvv+D+MR5xsFvRtJdD/ALkBy9E= "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"RP[t], YP[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {373.3333333333333, -210.}, ImageScaled[{0.5, 0.5}], {700, 400}], InsetBox[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJwUmnc8Vf8fx41SokhIQhkV3yhFJPF+G9l7ZO+9x7VnUqQkmZFKtCchkiJU SiRJ1r333EtURqKMSL/z+8vjPBzncZ3P+/16PZ8PxN1DLLzYWFhYXqxhYfn/ 1/GZZSMd7y/qp+WrvD1W+aqZ9LZO/yiVxJTBWNmjtkOA51O5jkQoIo+1TY72 yChsnD1acd5DHf2dzJS3v6aB+tMY80RebbwqtI0i5dkPpZTn94ds9VGIq7Y/ rnIEaPrU7iUdE/z05WFD8hIBXoZxk+7vzVG321rldn4/aNTPr3ofbIVpTfQb bEeGgauOwbKVcRTrMy7MZPkxYPdP3eDDp+xwFXFe0XTHABx6ItykxuaIKOzU GT/CgIf6LjtehTij0oFe+yfTDHi2jndlY4Yr3nr0ueyq8CAI190YrGhxw3/p tEqN6wRIpC6F1Qt54B+GkOkwnQHO+zlz0n08cWXgYXSs8hBslDG+1nrFCy3E hi7MsBMQomYaEjjjjTdCLPh7WhigXZQue2KPL74t/7ujOocKrXxJZRwn/fCR F42W6ESH6FC5MqNP/ujm1lsifoYBVwU25bHxBGKsQOezh8E0iO57rC7pEYRZ G9l2numlQSsze7CqNBjbPCYeRpqSz/8gyba2LwRPy/mXJkTSoS64PnQ4LxQ7 LSZ/WBrTIEMoqT9ufxhmdMeMVf4hQP5D6WVdahg2LxeVFXynw/TSFem5E+F4 ydfrvK8ZDQIN6u86ilMwro5yT7WKgGc3Fc4svKXgyNSsNn0XAW+l2zyM/CLQ QiLKVMGJBj+3qrAeXxWJZYq8XH7OBEyKci5N3IvEmM1fzQNdCLiu9WuSxyAK PY5bB726TIP9Mepqvr+icCJjqiBHjoD4rvKTMbnReKTl8LPucAKoxV9y/PfG YLYLmxpjkQYCEWnL5/tisNShI23gKx04wzRdwqJi8dNJxiHpSAK6E5zE0sTj cNNrwdimw3So+WNVlvAmDm+z37ut1EAHyxKfbbu941HF2IJV3IuA10b9Cxt4 E1CfxVjcMoEOc9u92+88SED+Qzx5J9LpAD7v3aUNEnHQoGWtojkBzg2FRwdn EvEjbv+4pY0OBw/Ea+lkJ2FG21cnvgA6fG14ljl6KBlrGKnHrNQIGBgy+v0P kjEl7I72ViBATFVG92fpJnxIZ7SuNXgLPstf2J9p70HN4KwZ2q0RkNacdBoP UMEfo2+EDiWMgIdwN7/kVQ0cy1v1VlrsM4QUXvx3r1oHWxoKjo0cZ0AjzRgn 3hsi6z7TTH0Ygf9iIgJCY80w9nJMusf2AfjIprIotM0SDffr2rArEbDzyQTb 75vWaPVQ7dPrgmG42JNXe1fRFndEMOs5cQj2W+/brPbSHk9n21ZfMqJBBOuz GVYVJ2wWuSLxjG0Y8h428v5uckHbJhpXXAk5H26DgW473TDrGeXUrhdDcFn0 w40Dwe6oejOgRtGCCU32bGziTR6orvxli1g1OY9yu7feYPfCQsn8dasuk/mg 0JkhpO+N0Um7G7MqGWAfMG4ck+2DQa9k7OR9CFjVe9znZb8vqnK94//0nHz+ C+syGTl/rP3xxj5TgQHcWtsv7goPwJzQUy91iwjgnvf8xvckEM2sR4rf7KLC Zark2XHWYFx771jYYiX5PPuBKafDIch+J+XQ0z4C7u8eraNgKB7hHBN+XEWF Ui2RHQ+HQ3FdTh5dhZzHoQiew4z0MLyTLUjPHSYg27t0WGxfOBbzMJ74q9Bg j6Scv8zHcPQ2+8hjSqUD/2LUxf+iKOh+0Hz/vm4CtL8mRksIR6DJi5uhO97R wLns2P6xxxF4z23P5ftmdPghIp5UaxuJj0uFEy8+IeBNRVJE0lIkpjc4dAoE 02HCqUjg8JUoXDP5RzuNjw5HpcLcprWiceZIZrBULgH3arQzwxjRWNH90fo1 kw6xax7rrqTGIJ/7YCD/Ag3OhY/cT9kVi4WJA9/PeRIwNff++VJ7LEoLPTWw 4iegVdXONSUyDuVmpo16N9DhhCGN+Lg5HoXNw9Zt0CLgbMR2btGn8ZikMH+K awcBtMfbmI4u5H5Y5X0Q/I8Owq3ChX7LCVgvNiEntpWAzvNVQymXE/HOU1mN i8oEtMdwdmRrJGFlofspFys68MaK+BZ8ScJqsQ9DU3/pwDBarUFRS8b0xvhG VCfg+aqZ2dlSdvyda6aGQ1Vg72cd1zsjjd3VaWp17xhQ7VenKDSthPIK/1YX 7hmFuTdJc5F+iC7Fll4cmwbgqMxp6Xz3IziRmff6JzcN5GU4oj3zDPC1ueeT 319GYIvosNVUiSka3nywfeAKFURu2s2qRVuQ10Q2/fwQVKvMsLtzWWPpu4Pf G18Pg6WOquPwaRu8k8fZ1ONFhz3lDc0NO+1RrDlisOrBINhQA/qvXHLE2phC Ib4nTChL4LnoJOSCertyh1kqCOB/HFnz5LMrKlTWx4lZDcLQd1WNWSF35DFe GlSpYcDPqZUnQYEe+HCh3lRjngAu+eLeghpPPM8rXhk4NgjSD9YXBv/ywp1p vGe+rhDgaXXJOVzDB3XZfhyPV2TANeXVb6VO+GKKQubJ2DtDsO+7n4RQvx+u pZpybE4joLn/hli9ZABeyY65YLaPAUc5Gp6v8wzEhM9hxOVAKqxzmPRKfxSE IT9MNbXIefC8fODLqalg1BTVLF8k90t63fKQqmAoTlz1+ONpRwNZu3ED/YZQ PCD9daOnFh0evXq1bo9TGFYyXs248jGAuLhdQ2FNOBpff/d79wQ5f+e83/Dc C8fvief1Qv7SoOnqhfIWQwqW/BU9yk4QwNJmm3J2hoI+950ufUykQ56XVPuW 7Ah0PXSoWa6aBqEi9xtL9kTilNBMw5oyAhzGWmoP9ESiXsk+CQtuAtq6XrHe iIjChlJ2m657NNDutDGVFYlG7zXu2zKDyfev9WttZH009swueh45SMDuD8ZB 1XYxeMjzzqY93TSwoBz4xMkSixwb7K6JKRKwrMB5TulqLFJk6kqSTQkwdHRo TDWMw0Pv1SS9OeggUl6kcWs6DvUnNP6kku8rdG2rwLXseIzdsaC32ozsn5SE yRplsk82LAXnqtHhVDjuO/0pAT11VQclaHRIS3ixzToiEZ38H7b6kc/PK+7a qCSchOY5vM8LjtFB6nO79VR9EhpYr7bPv0eHkROMUdnDyXh1VrXnHdknVIpd nm+YKDJNLFWJyR6o1336yrx9H378viC+1X8USoQl0p+PqaI0f+lJtk1M6PLf odDVp4mP1VlZ22i9cGr1/d5WDj1UWLtvH/fJYTDJy+eM4DLGhkSbr/FDTGhz i77nJ2WOaVKF1VOFfXDaWejf7CtLFFKqFlRgZcKFg2Osp7SPokud466cRiYM u0/xRdBs8Yuaa/su/QFQWnMj4JmHA8q/WqP49BIBOTs2cHv2OOHeQOG20/VM 0P6prPVK0RUZdl3fA42GoIVbQ4oz0g0D5qMK5Kdp4GrmzR3T4o6HnvF0XHVh wrlXqw16NnmiYdtwbHQJFTx3N7jUmHvhB8ev10bEaWBbl5XQfMkbL5aWG7XN McD0uIpaEt0Hq/v1I1/x0MEzgmW1914/DOZ5uJjdTM57kYaEaoo/Lproenpl k/twr2hzflMAfupN/pDzig7NY+v5t24IwqJ3WmN7Kqiwz9W+2tQ8GJ3uX2Ci BLlvAskL+0+HYMOeNzftSB7Yb9yVd9c/FCWFuG4Ok/fz7zH+x88VhmETe+5+ u0UAh6RtUN6jMLy809kkM54A3Lc9bZ1DOO7tKLhlwUqDjsez67T+hOPixpM3 Mp0I8DWzzj1fSkHrHArfSBYB6WvLg2o1IrDGVHeS25MG0vShompqBBLNHKJq HAQEi+Yf7j4eiTU7BBZ+lxKgHKey77VEFH40uH++4wsNeMYDZLrfRGG7DG8A o4IOvnGnKdUB0XjSd0LYOI/sJ+l8nuC1MRi1/dPSoAMdXquJSeg9iEGWE8fk x5zp8C4sN23RJBbdDtSfuEZ+fuJJwVTTXCyeb+L8tu4mHQ5vtWFNvhKHd6+m yf81J/tqVuLYP/V4FKd4lXWSvHeHSGAr+BKP+a3+2tF0Onwfb+5lT0/AKfnj vFZH6HBP4PeynmQi/jTPVdUk81/w5vWiB22JKKn8OsWZlwA2G81T475JuOq/ 09a/jeiwLBwUp86bjGGST9xPS5F9xC9z8Yl6Mkah/uEK8uf/FqYaL5bOAscU 1wcLwVPQs+3sgWH9nUgta4os2EBA3F/R0j2PDuBK7d/T3XdHIUnrTqf6RcC0 d7fr7fSGwCCcVS3jiTaWncZZlrxB8DVxzymd00d/9y0ao2MjkKBAbPr90wSF nHNNG1vogIt+oWaSFnit58K86MgA/FmMOCH0zAqDeFKkb5UMw97krD3/Dthg wl7aDe7zBMgaHL+Q8NkOT3x8EpbSMAB6hi3vpkwdsXf7RflmZyZIeygTG1ud 0fez+8cKOwb4Es39XhWuyBLEqv+VexDizcM2WEy5YTGxPTX3IAPWqfwVyNP0 wMPRBdxLkQxQrDRXPJflibvihQ/SJgehJOD+pS1vvfBugUGiVDoB3/XmvH9s 8cFHujWKMmkMiPDVibey88W9mbejz7NSIW6F4s7z0A85lc88SxIhQGSHv2vq sj/yiw17n/NhwPJZn9tpKoGo/Ir9a1Q/FZq2WFh8Oh2EnTnfypz+n9/o4Xr5 dTCmQ8eOSAMGeC1y/NjGGoodT++fnxqiwcxwt1PBrVBUefUxbGMTDS6HSIT3 6IahDoe2+xkeBpx6TISozYSh5HYNgf/3bdMR9sXjF8JxWfCwXdAlGghG3d6V rUTBYhOZ0dou8vyVdThaaBTkVcHeZ1/osFc3anNVQgRi8XovwSSy/0Uorue2 RKJWrvg91pMEXDvubXe+KRLFNfeucyX5ROk0dd7eJQoVyj1zWotooCppqGOw Nhp/KfspEmSet3EavZ67EY39yXXzLLYkPz7ecuycdgxen2uIcCV/n+pZ6lfj iRiUjEoMcxAg4Hj3jvmPZ2KxNmF86RPpF1mBQ1MnlOJQ+mqhi4ww6Qcm82F8 1Dhkc7N6tXWWDu7d+cU+8fFosnDy62dy/43G/qMwJRMwru+FjIItHRr1LZOE mxPwP9dlU4dKOjDD9F6ouyTi4cNiKUcsCYjdrVh9iiMJP1iUY/dVkk/Syo2K r5M+4rLaPv0UHUZL3z/JUE1GUUse5fNkfyTZvJiUzRBC/zf5ZzI2fYB5CRup vih5tDaWr6yt+ALuD9Jnem4fwhB+p9X+tsNQ3LxUvnhYE7+ImIoeu9ILCSZS 43VOusixwphzLWZC2pOfUhVBRhi3+fsR3bJhWJz4zTXZaYaprG1PZzf0w4MK 6QQOiiWm6BusstnFAPqC33H1OWu8Kv1+Skh9GBovanw5l2GLTz9NmtzZOAiK DwI0Evkd8Eh4KasImcepuV7/HqU5Ye7u4Bn3aSakj7R7la5zxZJPTXwe9lQQ Us7SqzF2Q9UbjJ/33lDh3+OL/b0X3PHc1Od+/wAm3OJddePPNw+8q8d1pqCY Bln3KM/u/+eFNReif+kZUeFd5J7UIIo3vjM8PSQxzICeqJwjS7U++PMsnrea pIPidY3H+av8cNe28W3DO6lgdd/Qfb+NPyoulWjcDmJA5byjnXNRAB5f6nx8 lfQ7n5AnKwXDgUjdYnFwwpIKX8UaSy/JBKNkwv6rcT8J6Km9R9HzCEFxseON 4xdIfjg8eOOcdShay33D32S/DdQp8rnPh+LLM3aaIyS//Gyv6jl0KQxTaL9e G9UQ8NWQqObXCcdtWyLzLUm+XQnMPvR4NBztDn2ToJI+/lzKe7PzGQqysmbp uz0mwDsme2ZCLgIzJ16kf8mkQUvTnlHjtxFY+Va8y+E+OS+iDtTWIHIfzvvW ipB+f0xgqFuCJwpt/KytQyXpkHTt+Lb06ih8xeVnr+FEB5f3if7dNtGYZPg+ QJ/8/AtTEx0/fkWj5YHf3VEldCiV+K4oWRSDb9WWGqakyOfPqBarqcai7M6m Ww8p5PuxrTrqzIjFRWeJig1jdDi2u0/+2Ok4zGNjn/srQ/rhlWMVfrvjMWhn aco2KwJK7pik23XFY+nHkbXd60g+NQ9zlKck4Ga9mRLh/XQYnlhj0M+TiCwf b8pa7yEgvERW9UJVIn5pOt5uRfrK6Nj1/9Stk1BY4FZShyEdON5qh33/k4R8 zO/B7/nIPpPfHCxI9sc9P17uWLI/EtUkNALC1qPbE8O029AMxCPRxjcXd+PL k7/qz9kNw9Qnizesew4iqyXL05KwLyAbfuskqTCYs0ZmnN+kD9wJPv6rXDq4 i/pKss6QfD/sdxyk9xuiRmP1vtf3RsCBffbtrKQZal3+UvGuchAWrPSjdrdb 4N6gSNfRKBoExYak3rWzxua7edXJL4chev3XjNd0G3ytLV22/SkV5JfnJpYj 7TFEfrvzn9Eh8A7hHzUbd8TDnE4lWuR+bC0Ys74d6IKX6o64Zy6R+XlG+vz6 f65YOW3KVv1tENROcETkabnjcHHc1iv8TOi7xuKsW+CB7h4NL0QDCGA+YMZc HvLEA3Zz1whJ0oemg7JbxLzRcA9nraInub8u2kd/+/rgfvYPKPSRnGeOVqHf D3zxgeHEBVruEHz95MLczu6Psso/Un+OkOedNTw0bRCA50dFhkzHCahM4u3J ygrEA+9eurHJk/tUcipWZSAI/75IrfnqTYDi8hp/ikAIEvcvVzmsZ8B34Z9v bXaTfTFlrr8wSwXvTvaDy+9Dkb1UzepvJ8krogHl6eFhmNTye96SnQEHU1z5 ZETC0SNUdnPDSdK3+98UlTSGY5Bc/S99fzr4d6Rvm3el4IcHUZXBpH9I2AYs 23BEYMyulYJNYnRYTO1OOlZOXlPFLUaWaFAhMiZ2RysSN9JtvwyR+8FnJC44 MBaJOjdf9we8oIP95gqunxlRKCEZ1CjbSwPjWE/bDfLReLfcyo+d7BvXhBKD 2Y5olJ+2LPcj+8FiIsW+PzgGfWI7jjYM0mB6JvPFy02xKBj9/BkL6QOR+RM7 ix7HYlgiReORAgFrjQbOHXeNw4rbKRsvsdHBbF51o/oq0jekrxTFyJF5rj6T TVyPR4PzK8PXDhNgK9Lpk2GYgB02avzTcnQwvyg3svg1AUU+VewvX03Af+mH kgIyEvHfDc7SuSMEVHAGhQzLJeH6bqXt+t6kz0v/ctbsSsJzYq65N3rokBi4 za99mwJ51iY5az6MwppNps03IrTw6Ny2D4d7PkNew4Hmrod6KLguZXWiyggI hqhMKd82RpF1rWeukzxe0LtgNBprjmevGanyvO4Db+61xxnCVnh5dI49oY4J FjGeKR9yjuLMhuaLP7czYc1/F9FWwQ5/RByfEVnoh4OuRP7fRw7o7lp6ud2Q AaW1j4UEJJxRpS64ZcaDCSwr5dsnnF1xT4XCLfX0QQhmzv5zLHHDp2PzF6+Q /PjimzxsmXLHUaENk1vkmRCVsGbqvponytmcVrzWPgSH7qxiexbjhZ7/8fHs 5iV9689U5OY2bxz8e65uaZwBb88SiqxrfPH20z7rek0a5Gk1WirZ+2F47+Nd F0+QPntCmal11x/Fldq6NIpJPnLt/dQ+FoBibSHOY3ykL7q6y1w5GIQ96VF+ ZYo0iLv6+zVrbDDKPOK05dBkwG+nl8dfJ4fixbpxBe9JKpiUe028FgvD5moP X/0+ArbGLa+eeh2GY8ltqlsPEXBB0NWGJTQcxeIDZhuFaFDCYjP4fj0FuT5Q FD5kkvOZoM3zsoaCvXvd0cqZgFsXar6mWEdgYaWk4HdLGmT+PW289WcEVu1i CFiQvvtA9P1FemEk0sO3uwafIGCKVnAuQCkKzwQZ3X1aR4PSfdYKovQoTFPY m/6MnczXHYUJBcnRmO3i8iyD5MlsNzXzia0x+Pzimj9XyLyfsrXgCWqJQdH5 yuFXJI/4//weXuMei+Z8Fm3CCQTYbY1Lk+SOw5R1BbvmAumwsK73Q2J1HD48 Ihs9lkqH7XovTfMt4vFE1/rZTJKf6gTvJnb/icfaPGLT/rt0CE3jN/9cnID5 k6b7QtzpEKXOfFinlIjhGQEOmwwIEH1F+3IhIQlz97zAchs6zATkp+bsSMaC B6m32cl9Glo41OYIyajL7mM6SuZ9/PMbLKuuDgNT/V5p90Nb2Lgknev3Wwrj gifbtcnzdnrd9Ull0wEckxSoI7pGQe/iMfD9p44X+OS4F45RoVVQTZfdSxu5 bF9O7w8ZgFVuvKXPb+qjDcfk/acfR+D+c2dKTIkJ/uNp9xgm+9xCYuaB3aI5 clyRHircMwBi9o9bZ/OtcDH/s61+1DBc2lq3+SyXDQY7XgwdWiHgnqhX6tBD O3Sd3fYi0nMANNhCdARlHFE1p17dYQcTAo+2s00UOSPDWO6O6C0G5ER+G39a 4ortfN95WTkH4e0q7kjWfjdMU7WM0iT5Q9B5WeumnAeu2BxbmrnPgDdhch5c 8Z64e/3nRxHrhuCowd/tP6q9sOqSoFKcDukrLRLjchw+GPP09sKTmwwYYhmz nNDyxQCHi6qxWlS4sjaWjavYD72fTv51b6fD27eGrF+/+uM5aePxj/EM6DR/ dllbKhBrWlhcrm2jgUjsCb3lqCBcs8mc/YU06X8b/4jKVAejpZO86H5TBqxh Ck1LTobg/qMPcg/sooP1bZ2xhsuhOM41Y7Cd3Dd+7a7ru9TCsOfHXeeja8jP 04LpzWNhSG+qe+VA+mhf6Yfshqxw9BPTqdwXQQMNotJvbjcFfa+vMO+2END5 o6GN2kPB1J3dW0PWE7CsfOXZv/AIfPBIo6XLnwa8Ir0Va3ki0a14/8SrcAL0 upT/a3wciWWV+bsnyD6fGv0aXmMVhV+mN9qpkL7wuKNVw24lCp83XwroIvlP YjL6hvKlaPT0mzAQJ/ss9FYy51+VGFTuO2D57isNRhQezYQwY/DfqmDkJvP4 lbjiXYmUWKTYWGtEkPNR8askbbVsHLautS6qJXmoU2rnad2Pcej39l5j/mey b2pXHN+ExiNXxGKwnTsB64TZHi9sScDYwewt+/zI79cMXXOvS0CVU/K7vl2k Q/YEV06VVSI+/rWNf9mCIP3ca/Wj5URc4WcKRFXTocqJR2+6OAkTbtgxP8bQ YeyBjuRB0hcSjn1bCSd9wUQ/UphHQBCLKp7R7qt1wn/iBjeUivbiqIW06WGl L3Ak5pA0se4QmtclX/L4MQxJU96OG35o4F2urxMhr3thbsbl935OXRz707M1 dRMTJN5d2d8pZoTBGcF77eaGIWd/zdM918zQO/PMo2cn+6Gpv6KeR98Seb7/ SG2vIP3f7m7zlvfWOHlOaV10yDDIHQzoFHWxxZXEF0VZlwahKsVEljphjzqU vraQtXRIMNgYO+DihPbu6ypFV5hg3rB7SnjcBQtZ+U9bzVFB8121PdchN3Rq j74dhmTe+ithWqo77iw8KBlG9kn1Afae9Z88MDLMef+WHXSQDDKdkNnshbdP pSW5/BiCNKskDi1nb6zRfrFxpYMBm38+f6NyzQddeK7sEd1L8qoaM0vuhy/W j34rqxkfgthaM7Y9mv44Orp+rZslA5wvqf9pPhmANxr5lESCCDikwPPLqjMQ L2V9ZMYpU0Er6WdBq0Awut/lp3mQfDVxSmvfR9MQ3Cs5+m51PQEbqomHrIah eGz/G9pKGRXUkm5dPDUZitGJiXEdJiTvl7qtzcoJw7P6X9QEOgk4bIfvilTD 0bw95uxTMdKf25y7fwyFY++2u5wpXAR8ywq2az1GQbndOh8YLwmwll9Ts0Yq AueGWFwmbtMgu9Ims7gpAlPOzLxxTqLDBtHncuoekWgYZNNCqyVAyuN+udnq KPRnKgl66tLhAGtWMeN2FGLW2rAAJToMxM57MYyjcX0H8WawgMy/bqH78uPR aDbR3bmzkQ7cAmbPs7NikE3gxb2r3HRw3s97zWVfLB6PDXq/FEjAnZsv1t3v jcWjzlYKC2T/lFVdaGM5FocdW85J3CJ9+nLkw7bL4vFY7LppVsmIgLxztfpP X8bjpd8ntXcJESB+Qu+Kjl8CRjqd0C2XJX3G9nyoOEcifvp27Oom0g+2b57m Wn87EV+wccwySX+wrfgc72OYhGk8xDeGCR3OXK0IxGnSH0y/dfJxkr6gnvW5 VS0Zl4qPcDqR/SEmfrp4b8ZabFmqeDOp0wCiWU9EzHT/w+rhy4+2kn784crq f9znlPFbF5v03c9fYOPlTeputYh72n6JC2/vh6ETJmJba4+gF0NAWsSSDnmC tn46wwZYs4FLRaJrBL6e9/ztP2OKLvkvg65dGYJ1SR+qFa9aYIjS4nkWsn+y +yta0vZbY5OkZqnOu2H4cnsjxbrGBgtNF6r9SN97+L7/s6OJPboeHmHkaA2B 884ml5hWR/xv81fXff1McM6Ij0nVdMEHxmZBOjYEfN9uWu4x7oqP+bt/vMwf hEzlqwNae9yR02/g+revDBh58++MfYoHso6aB9s/IiAq5PlN4TeeSGmoaDj2 l+Sv9882FXF6o2dwJysoMkBiIHRAwdoH73tzeoWvZsDhK54/M4t8ceSNHuVb wRBwE57HRab88PLcfzqq5DzxK75MtFYm9yMNbTbyMuCEpvcbo9hAtKn8HT2l S4WHS/Uhrq+C0Kvm0X0N8v0bdVzetcIagksuulHnJRiQkTP38c32UFz19MfD AAkavMmNfiHxKhQp+ZKpD0/R4fCM0OcBnzAMuVGywkn6RWZWk8yDjeEoXVKU JPCYBlGKF/b11oQje0Rx/h3SL/OVs92cjlJQxObalCCTgI28zOfhyxT8k7lr T7YRHV5FLEl1FEVgupa/4BaS/7NFDEIkVSLx8BUx1YB7BDwumhldQ4vE9e1p wYMTdNgY8TTNMDkK50NKvxPPadAmSbMU3Un6ws+nmi1xBNS7tMkotkYj24DJ N5H/+zxtbFjHMwYD+IaUT/TQQFzBrX2MMxaLPvxtldIk+Wjkz8DY3ViME+uS 3U1e/9dTvIv9aBxeGNnFHk/6glKHvwzlTxxeDSyLtRYnIFrSwVLzYjwOnsh1 mSX7XcD0+p0rGgkoERDMY65IhwmO2nWa9ATMfB0U1P2L7FPWFRMiKRH5/hhJ 25P9J9F9uYlbKgkbD+svR4fT4co/F/sLL5Mw85rvDf0mknftJwuzIvej4Gfd h+y3RmFCvT7u6U4tDCwP4Fiv/Rk2uIW9M3DQw4Ft1UdTRofhUcrYkrW9MU5q 5HDMBDJhr0jd8i5TczT7mezzqLgPYg5kN32ftsS7kHz/mRsTIvuuv7gXcBTf B0xt7KeQ169aZUbX2uGOcGupFd4BqFVoOeZ0xgGH4585Tc0RUBTsnnN4yQlZ zM6wiOYyoWx+cl+/vitWX9tbeZE+CBeihfmqTrlhF/sFiQJyPngvtV9v63NH 7Q0xznuNmHD8KofIC2lPHL2sedRejgrv/Ql5FS8v3FL81He0gAaX+9UXJx55 4wGJHB3p3wzgXrv+Ccz6oOPcgqH7DRosD7rIdmr74UEBQbF6kn++ZB0+DgUk H9m5FsReYMBtjroo+Z4APGmv2E0JoMMPyToxJ8kgTLfqeMIyRYVeFunn0l7B uKrKucWZ3Ke8T2/PqESG4vY/ub8s31Kh0rc/coo/DGfK1lZvbiZ53OSOisaz MHzUJq+V7kD2h2RT8EmvcMwV1Op5v5YG1Q47KJyrKGguU2y1M4oAtVEj8913 KZhTLH8pK5r0CzPZuyWGEdjD0XX8vS0N7KeqZn3GIvCS+uZLpaIEZInun7A9 G4mDgyo2w7kE5Mj6uhbJRmFnZ89m9g4a2Ga5PojuicJtHyx/7Bmiw+R73pjr kdFoI5PWvZhF5ou2n7wcXwzuTO21HFInecWw7sJAXQwmUxbjU5PpcHFfY8Jn 21j03/Uqp4v0hRL/U4fCWeOQo/iHIUsG6ae5BX4rt+PQ2L7j+HeSdzjEfvm8 1YvHkUGZ42EeBFQubULF6XhciNPSpLXSQe7JeO5kdgL++P3lbZMFuX93AnpZ 5BKxennHlifa5PvK4lVuDid9Ny07W8qcDtFarMlfhZOR69tNXZAlgMrxaB8X 6Qu+Mel+7WTeNHRVFYeG/YXT+fc3/hW7AYXaPz87Xt6FV6qe31iZIaBQIcBf 0lwJy64Ncp+OHIWB398enN6KGPC2toFPYhDeqVafOH7EAHfpvUiemRwBg1tu 1WG6ppht7/c89T4N9nQx9ukaWyDbi1/yZyoH4XORgrbaiBUaNbfkDNUOw/2o K/dF/tnhDfM9y767B8Esb7Pl6yhHrK498E8qmwnqhiWveVpd0Sw7nnvXzkGQ vdx7s4zdHZMoMzf3xTFgZdPK2DEbD1Te5Gr+5iDp09ORqzeVkfltZLZtJ3MQ mJlOwtp0L0zZ8rRjspWAm51vmBVyPij2Xvt2rgs5313XyxqCfXHnFPOWeifp C7+Cmze1+mF9Xt5PdZIvQ5JPNYrxBuCatt9bSkwYIPN2Y3WbSSC+5zCRDLpE hYSQd2WbBoOR83284FENBrxKYR29zxWKFyavP54spIH0xQj1FIswTNSgrFPd xADF28ds65bD8FKRh4cA6QO3viu66ZeFI6vmR9PAdhqMc139IqNBQTaOF8KK AwS4HzUO806LwBe56uIPyP00E+HlFZSKxIeFrNs/5RGQLNedwOIfhWqFxeb2 paS/x3wwUOWLxrMlP7nSXMn5b6maEzeNwaB3O950kHmbWsVJ3z0Xg58unJPZ RvICpG7WOlkQiyx5VV8iyP0KHNlqs0ojDpXab5lZbaCD36Rs3+q0eHSfFbd/ RPbpuWpL+XdyCThxW/5GoT4dFOdPTL/xS8RcBY1tfOT74vBg83DhTcKFSNa7 4dl0uP1A2Vy7Igk1pdfVMovoYHsg4ze/+D5UF5K6l7F5FGoKssdHTmsiOw/7 DrebvcB25yuh/kgXxVuzW5cEhuH7Da3NOQ1GeHFqiGVJaxhcbyo53l00QwEl Hi+Wxj4oSS9V+1tiiTdcuFkXChnQcEFa00P0KD7bX+uozj4M5v82L7NW22LH fHiqw5UBOD305OSZ+07omJEm2ELywuj3FKuqba74xvpFUWr7EFSws1J2PXBH 5W2PNEX9mVAyvipmbMUDbwe7lvwUpMHieGHWPnUv1DfWusRTRQW+Qtq/wlPe aHUs1uvlNAPecV+l/t3ih+tKmRNrQqiwt1ynWSnQH8s329dsOk7m3V0Pzv6F QJzoaymMSKBCZmPmnSi1YDQRf89F52LAh9ZPl0RdQ3HoYNHLa1epED3bdEqV NQzHfjyM4TlLQML86qtjN8PwT/bZteVFJB+qH7t0ziwc1Y4dtYtno8Hoxuay hOlwrHxz0PWoFgG59U6f5vMpmPem8fxMOck3TVvku5UjcOvBW6pJkTQwEV3I NIyJRDunJUbQXQKGXq9j+y0UhQXKQVZNZN+OSK0KaXGLxtGe7U8CCwm4zPVi 6sFKNHaoxaYfiCfPX/7E3ZryGNx+PfBOGtLhb6VP9tYjsVgsmCpdGEPyNOf1 Mp6JWHwQsjjx/79HO5dvLvqXF4cts+Xrzh6mQ/cb8wuKB+Jxsjbq4AN7cj/F ircIJyZgJ7cdv/shOuilJEme35KI3qci/VuUCIjYFtHP75KEI/W3v8oY0iFl pi8yb3UyHlpzS2iVCAHXPqe4aU3LYmvmwV+FnCPAxV2aO/fuIHp+tCn0+zsC ejpqHcqWGnhrx+hE2NXP4PhzyXhdiiHuXdyzZJYwAs3PFLY+MjHD7e3uP/4b HACDLXu0uo5Zo9FTdc+8qmHgDHteqrLOFjPbqYrNv4cgqM43UIbPCata5IbF ST8rmGNNruVzw7sdHyb/MxmCqa6A9V9s3VGvaeF2nzITjKc4DCSmPVHMbY77 ud0Q/Nkotn5KwRsjkopgVxYDAoMl0anVF2WeXHhscnUIWtrtNXcI+aNcs8nz nA0MoNXX07rKyfx5kKGKO6ggsjvs3lfpEBylZyeV/SL5sXz8xZcDoZhx8k3C QCcVLPSfhSgmhmG3mO/+oN8EjFBYlsp3huNmHqvzPx1oAB7J1OwACj4culsv NEiAQukvFTXeCGyy77i+YZYGXSInOuVNIrH9+cdvR+oIKK+/ll2QF4UH2GY5 1GZo0N353fGfSjQa3LqyXpacz9HFrR8CYmPQyOzPwXtjZB49qqstF43F1jWl 5Wnk+Y62bFlgDYjD45uvybZy0MFffP3i2g3xOJvWvqblIAFpdhmdSRXxGCt2 QUh3HwEXv81JUawTcLFVP/vEf6QPc0ffn8tNxBueMu9tgAB1DVWxeuUkDFOQ tzrgSAdakvmhtW8V8Lu6QrTAl1GQGBvmzGnWwoUIYTvNM30gLPSn9ugqfWw8 8qLSLHEEVrJVLl27Zo5pvw1rc7f2g9VwslafthVSJsUEk1cNQ9HZMJu3TnbY cFKvdGWlH55k/r1zacAB4+x0jPQvMuAWC9eVST1n5Cc6PhXLkf6xyp7nH8UV u4/spEscGYRwpYI+P3YPTL3j+/EDFxP8bdY2FVt4ouyboe0ysUPwn8iVGQ2q N64coamEDzIgfVN1RbOwLxaICUfajVKhJG6/pl6TPzo8PBn3Mp8BJk9/Kfos BeA7G7A6RPK2QQm3IsM4CEcyjgjdOk6DbZotHwYygzFkw6oL/IYMODraGGt9 OhTZPZ47Om2hwQT1p/tV6TBUcMw1PDROgDYnC8bHhaOUNtuRNnkanLh+Sqtg MwVbo+2stK4S8IRQ3+njEoFKHiXW3tY06BQNNPQui0SrfSNVfeEEGJx/+VwN o/CMCIcKkn49Fyeakp4RjR6rZVZvTSJAKWlj+N0dMeikHjR1cj0dDlUK+uUG xuLBJzpyGbEECL4L6O4RjEOWmpo8b9IXD4UXKLs6xmN7hXesiDcBTfs0n4au TsC310MXiBw6VFmqbXhxLQH/0TZMiUaQPt5tmxGKibhrdXsYmpB+/fdeXkha EpacbzK0cqVDUJ7MqcPyyfjzPk9zAzlfg99bnB+Q/MO6+H6ShZyfGK5J7y1X PwIvT1+95qQ8VHydeyFrKIUfn1l4s5hSwUT2TmhjiyLe3az/rGNoFGRfj88n VKrjJ0f+/Bukj7F+szdqOqSNgXzXOf986QcL/7Ebxsf0cUuekKtj6wjorBKT rA8zwSF4ZOBeQ+arkpKJ84g5Lh5ZDbq0fpBf99nT7bgVLjQ31/51Hoaeb0bc VnNHcYvOLtsqko8D03tjuEvsMFZvv9IdjQF4TtVmvyPgiLy2fB+7VjNhg5kA f/8JZzSFoTqlDgZINy3/Gs1xxV7FiKfiPOT8OdtJ23W6YYX5k4uv2kn+nF4a kJf0wNYrZzbWvWYAv8XFOP0wT/S/cctiVuz//y94nWl3xwvXOWmvdyP5wIRF Rc542RuFPwpYJDxmAK+xMh5U8cUDMo9YUv2o8OhsfPepc344Pau/5JBHh9JL DebCdH8csT14WvQEA+oUfIvKtwTigcczKKVDg7e3LrXwBAXhcRqdVfsfDQ7G vUwIvhOMK0lGbCOmDLhhJ7aYzwxBu5z9m6eMSR7OZJHtKgrFLK42Aw5fsq/2 3IQPymFYEWKxJpuVAWlvp/lOMsOwcTvdv6eNDp6ddY79GeGYTV9XkOdGg6MC j0/f3klBX9kPa6hPCXhluCAz/p6CdQ/H7SuFCfCoqOLdGRyBVv9exOp50ICl ZI3dS85IbN2s8/izLwHC0aV8vZWR6GtxU7fbmpz3/OAKd9Mo/GGyIKJ2kQa/ ylIaXRejcDTE2ugj2U+dtPWCtheisW3R4OudQAJuXN3fWaUYg7megqkvp0l/ siyZP0aNwaN9vB9OLtLBV1919dv4WFTcwVa5ntynFwcTu1/ujEOFjBMqH0hf bz6nJujeGYeNZ9wnB97QoVdGQT0uIB5j9Cpzf5N+4FsV9JldIAH7t2/4lEL6 q3SAeF1aVQIe0fx5IPs8Hb7eDvoTZJqIUY65rbokn+3oW7n/aj4Rm/abe8k+ p0OU/ssjF/OT8NCY+JmKMPL+A2y2PKrJKCKb2OahRu6v5nt5lkF+/F791kzu yDto2yD0aXFqD6pS3iQP/hwBJeqmFq+nKji98UO+rPIIhJ4oqRNq08D28ztl eCd7Yf/LxD8/aDp4qdnA1PwdA0I/Rak4zRviWbOIZk2REXD+lJf7PssM4V47 411nPxhM/bLjV7TEsX8FO7spBPBzvnNPf2qNhQXXpfxODIMnB0vLiL4t7nB6 vV1ugpzv8Ubx9f32qPkxkxC+Q4OFHWMHgo2ccPnyestc1mGYqYn8t6bXBbvm fz0y1aPBZ8E2DyV5N9y36RuH778hmGtJnaXGuOP0R8G3iw5MONTGFlD41gNl P6la7QukQ7DxM3bf9V54shMpO18OwbDWzrb7lt7YteSreLeJAQf3fOKyK/bB v3syEsGQgK6M/fGxI76IjWrCfh+HIPOwZfddZX8c2hdoKKHNgAOhDw1+xweg du/VSq9UAiQF6qeqWgLRB4zk2PZQYfr+Or4+rmB0OPP6Bl8LmU8/N2QL6YTg d9nHX6reEEAL8aiuPxKKG29WFKy5Q4UpV3fi4tdQNH68k0OW9Lmrpw+WKZ8N Q1pAXpdWP9m3LtM2jkrh+OSn3FHe3TQo+33kMndfOCY+ZBk59IcOKy3hcdHx FOzNvelKeUfyQ6amoMC2CGxwOGjkX0+DeZlAetPTCLzueqTR3Ie8v+THpz9O kVgm6cUQe0LAHKdgpg9LFA6F7l4OsqdD9sNNfVnXotBWv+8ljxQdhEyrh7/q RaMbc9e8Xj4B/1oeiJiPRuPW7CJORhcdNDewp+pmxODFr/N2Q6zkPFr8uRUq G4v7HjIdlsj9M3rf5mn1IRZ9Zh9ZyHETUDUfw/8iLg67/YauGPDT4TzxyuqJ SDzKVBc3t+kSwMs28V9gUzxOPNq24a4YAcdEq5vMPRPwcMC36BWSH4w29KYe YU3EvOTrZnLbCYjuMY94XZ6IW6+n6joqkP6fFyqVoJOEfl35YVakP5uc9fYf /56En+QtjTasIoB4qc9dopaMtrwwaUK+7yk+9dcbBTjQurvg+s0tddAQn264 6ZIM7hdL6NtwgAnNq+hFOaCMt+5dr9y0ehRWKeoXB2QjRnD/ufo8vx+22ARK 9mUewenb85MjD2nA3LY39NNTA3zeynWmeWgEjn2WvH7vtSkuswfyN4tSITdH wEol0wJ/TyIjfQ0VyjI+ePwSs8bVwtrpwe3DIBJzw0ek1AarOqZTbBZoEKxi 2JF5yB7zGLox2+cHYYC1QIS70hGbt6qvwFsmsKS+zAiVc0GL1NHBbnIekwPc 72UxXLF/9Nit7PBBUDw/dfaipDuu2L98uKaLAf6O/yRGojzwH8uuMzKfyH42 lW20bfTEd2Htuh7Tg9D+3OsT+z8v3DFsUakozACtzekiloY+yFnE7hMgSu7/ eDW1L8sXNy3uayy/PARiXj4WxcN+GH9f7BHXFQLGOZQ60+UCMPen9jVpcQYE SW1svRsciCu2qRtrbanguLvnO6UhCE9kxf7xkCGg74B/mtZCMAplm/m37GaA rUls3/GtoajiO7dr9DAN4qL2cSi9IPtjYe+pPi86RA/9CD3hHoZ9lTtLtHgZ oJQfWhPKHY7zdqUK0V00YHNP/jtTEY5bW+xYqjbT4U5g3nFecwpqJfrOnmAQ sDZQdPuxeQomCz1KHfGkg9wkT8xsXgR61nI7XW6lwbGS+M2EQiSKxr/pzr9J wCl0eC/WH4mhpZGuLqykX0totC7ERqHb/qr7/9XQgGOx+IOUeDT+YiarjkQQ 4GPuXGTVGI0uyT3Br/YS8Otz8a2/zjGo+aNs+9NuGhyyNOxaWBWLZuOXObRV CbDnZjtw7kYsLj5cavyrR8AhoXhKi1kcVuTrSP1gp4PMweM1Z3/H4Z67zU3/ yL77lX9OcTY/HhMPDp+6QeZVxFfed3cOJ2BlFPNV4UE61DcsiXoPJOAv1r2L Cd/osLfRpbY4NhFLXAJfnzUmwOGxsp/4tiQcfz3oZhRLB/dxAVutpiQsG9n4 zuoxHcbNrPaGbt+PrE8GdG6fGQVaz4/el/80MVam61wv12cwVDj3Yc0+PfTd 9F0ho3YYWM48Z/uy3xh5zu7OvHadCcvPC3vaVMxx0E3dni+vD1gNelx+DFri WgEPvLqfCWmnXrkJ2x5FthMu328XM+Fenp3Y/VlbbKGv9VWRGYCoS4pRZ6Md 8OGDnMaOtyRfGhw07Rpzwm/nX6R9vMkEyq+celNwxcXi2PKCTUOwp1luKy3J DfPopt0HSB+tmxOy297pjsPr0wk2GyasVeSoMhDzRM9Ty2cdPKggbGiiF+3g herU4djnpD8ttY3W29zyxo6J0/3jcwzYc0RyyfmbDzJfSyhEDdBAXrpCSPiQ H/rVUBx4pqmwsAksnp3xxzaZmQsHSZ4/1i/92v1tAF748W/dqwt06FvtsaVB KAh35Hl6fe2gwgl5DZXDDsForRXxYZCcb4/zxtkzIaH4YpNCrFMDFdwNc+tZ ecMweJ9m/CDJl+0HUz5+rw3Du3W/DBoDCCj4L/SPrms46mvea1hhpwFmcMPO f+EoybbozudPgMVW83DadQoK3HtgmEDuf/Y9H+47OhGYtb5j6JoTDV54t+lk MSPwck/AGhY+ApIueeQJnIpEA6ZEVUMxAZ4fu/QqdkUhke53gNpHg+rDo+NS 76Mw60SnXwLp+/9d7/h9LzQac39Y3/t6noBCpX9XjNfHYOqXQ6LrSL7L1g5w Ol8Vg4Iu9mzzwXSoNr+d8tUyFsc69zGjEki/yzmXt2U5Fl0Dek93FNJh9+eo mufX4nB6OfrzHSc6LJ7i+jWiFY91dPnjXW4E7AnWE//yPR59qcGq/N10yLSw qVk4k4DP599FPDck/dCl4puUdCLOD7CtK9Ug4E34bXpvEMk/V3UzXpiQ/rG3 NiFXIBkHGsq4U6TJvj0b5M1UT8bsqu7BZ2TeO1Zv/aWYsQBekum3pXKLQGl/ I8f2Xzvx9eaJ/tXHyX2/oL36NqsS+mq3O3XkjELRZhD87xtgqpoE5dKjQRA+ cubMRjED1DF6fOLhxAgMT273rBIxxZvVN1OHlOlQO7Ljg+FBC0yu943dqTcI X/WtRu50WWGQz/snd+4OQyDBW240bof1DmM/1H8OwLuQSR4HD0dcFFjXFR/D hI/5D7sO1bviawtnoRHBQeiZl3T4s+CGnwVvfdllz4ATN/4mrTP2QGfV73eX bBjwvWtYxPyCJ/6R/UxhfhkESFg99KDHC8s9Ht2KuEFAGxch1SXpg5JhhUei KQxAkbmstZ6+uFE8iX/V6BD4xoblnH/ih2vDlpOylAnQsVjkMecIQLbDnWk3 HBjAd6/hwS7tQBSeZYwK11NhbV8hq92HYLyyy3M4RIcBBWonvntzhKKSy+9H lU9o4HHSsO8/4zCUrqWe/bWRAbSH8iNx82EY0+matU6HDopCInLel8KxZ+sd TqKK5HWN6xxUVQrqJG4Q/072UVunW2tmSgQuB96Xf55BznuJRl23WCTO2MvI HD5LwMCgTf19zyjsZtsgalZCgxXjrDbN9dFYcPU9Y9iW5PcG76d9+jHIQqnr WfxMg5KPs8OHf8ZgsdluJwtRsv/viF2SPR+Ltg/PcA26EpAovVzWqhqHHsAW 1rqJTvKW25PHx+IxsDGPZcGe5APjRvPP0gnocIw/N9+MDmeqR21PeCZixj46 zyDJ46h7kSuCKwnVLc5++k3uf2DxpMmPO0lov3p+dhXJ79Ky05lz7fJYdDgi oHT0C9ySfaX7w0MTK1hl1lAu9ZLnxTG6lK6L/sscp+71M+FghbCYeL4RXjuc 8cQ2YhhkDQQVjUbM8FaEnvcCow92lIwMsZ6yxAcxtKpEVwZ06ukzuziPYk6+ leQH8WE41XFvuu2yLf44OXhP6tMAcNSd09xW7ITja1U9do8y4fHYTqqMgCuy FeqlS22kgq2Tyc7kcndk2iPfRAATJJJW8YT98sDd2Wd5W2xooP1u9Y0QRS+M yXr9NzOJCiFpaS/YkrzRuObY0Oh3BrDY/Xyjz+OHz/JjjwXrU0FTWj+n2s0f F5Sr/S7HMCDp7IZVB6cCcUOPRUq9NxUO/bi+47RCMKrfOhUv/Y+A0mO2Zb32 ocj68T+1+UtUkO6N6zBZDkV7iwaGWhIBjxlDh86XhaFLpRRPB9nH6kfkZSwM SR6+t+60BQcNwuF2cNF4OIZfPavZcICAWz/c5u5kU/Af3wHu1PsEBItYn6fv j8AHytp/oo/RQP2SzIG1lEh8xbYwVvqQgAfBlO9c/FHokVn1+yYfHST+NE28 dYzGkcVJAakLBBj+Per8fjEap7+Xl5aeoYO/jHJo4OUYpHEfVrQj/U6w2zxf FmPxVln7nFMU6afy95Yfj8aiFkv79qe9dAgZmx9pPBeHa++qZQ+T979U9JMy lY/HWp6R+Fwbgjyf1ao7YhLwy/GOgNED5POUW5Rq+BPRUuhQ5q39BNxnX39c xj4JlzzZ4+XI/NOmZVGAJRkzUoRUEzcToPnSNJtDRxav6p25VVg1DMuhsXsS Eg9in2SNhpLKFzg0FC6jKauBhqeuEx9nPsOdP91WRXaGKH5lMntXwQhkuW6a tVAxw5qDD8X1tQbB8Y3JsFqQNX6L/MYx/mwYECzzWX7b4LMNU921R6nwPVdd 5tmKIwaw/ffMfoEJuzUETjHXuqHRwyPb/m4ZIvvqSdNhE3eMZe1XttjFhAud EW6uo554+oO2z4/DQ2DD+qrTVsYbTY2dk+djGVBaT5G9/cQXz2/sjjtzYQh6 zZz4ytf7owpHoa/JHzIPSrz69xYFosjbGNsFaSrcyj3MtWdbCF5+7Rjhz8qA rS7Bry7Lh+JAUIKTAkGFTIU8Tlp0GCqvD5YZXiYgK64izVs8HAv6X/1cCKGB 1YXUFS1vCma+e/pHmUbAf8t7LxpwReAzfsXczWvp0FRSEzWpF4nH+tdEUB4T sOL7X6fWuSg8Z3am6NowDXiv3RzgOBCNB7UWvR0zCBCZ7cyXiIjBoFUq7dsZ NOjrLmuoFopFlh1lf6etCJhf80er2SsOHfq05fetooNTptRJSc54VJAe8VUl fYXt3bOHe+/Go5E92xd+Mn//HHfXSTJLwMnk070Du+nw8U2fQGVWIv532JXx TpP0nR09rzr3J+ETuxexi650eBBZ9+FbhAKuin7aeI86CvyJW7xLLmqhRTXr t727+8Dm++Znmwb0cFMT65KV0wi8VdgSeeScOeq/i/QMmegD6nwLc2ivFSYE Nisw6UzocuAwOq9nh/pJd9rz5/shZi64tOOVA1orPvh0JIIBUkOEQ8oBZ6Ru tm4s02fCXtZ/hZF+rshLSRU18yD7MXv4zIsFdxRzGOP/JcaE6W9rbKT0PPGY gMtJz9IhSOfSrb7X7Y3TAQ7XL48w4JbZ2xkGry/e6s8RzdhEgwf/FPle1fhj QKf817cXGLAjy+tk0c8AVCe2hLJ8pYFCUu0e1ArCR2oyN7vsafAubMho6ngw VnQvHJbQZcDOMs2kDSdD0fq7+VULNhpcarp7s1oyDL0OfHkpxyTznKeiXS0y HL3eGmm0SZLn+TGEp4qPgruDxsqtCwn4X03nHU/l//5xKyQZTVSSpIzsbK4L kZW9s1dI9p7ZI0lIFGnYLW0jDaUiKpR9zrnPMSpRGmQ0fvfn8fh9/Xcej3PO 437f7+t6Xc/nObf7NGrGZUU4kb58bDh4zJoKDysqfohWRKKd0WeF8Xhyv1Vl am00ojDrHWe1eyMVlCxG/uanR6NpVREXH8lf48G19FciMajY83pvvQANrHqZ gqoOx+KJp/ffcJOvb/oRJp3AH4errVveDbqR/kG59jTOPh5TXngeYPclQLMq qnwHUwKm/SYB6TwN1s3WyXZXJuC0AoxzHaFBXXZFebFGIppWhAZamBIwQdfX Sk9JQvHB3ZfuH6KB3DFaxgfJZGyxFhT+7//rx0KTizIgGY3fHK/9QfKP+q+B g/Ghs8C7s/+d3qlwCPT8pX7Hcx+mnpStzn48Bffs1cpk3xihs9zK92LaBHA3 nBbLrLfB4bcl+SO54zBz+8eJq08dsbUosSHhxAg8Ey/LSdV0Ru+OtSIcegz4 IznAKKhxx63B05v3c45C0qlHJj3p3pi/1f79uuVRWJPJXc/DdxgTWkRulp0h 9/9OyeELZn4ovddZq0OEAj9+jTTe/R6Al6j/nEzD6DAZvK5qUiYQlUc35Duv UECkXubReFsQSj3IbPA4SIdhx6U1Sbqh+Pd+TQkTNx2kr1wz1JMPR5PMqeiL pD+UPMoNGI6OwBTBrJCn4VQQKa/iNN0QieXDdgp7ST4tVPXax+kUhRUfLm15 UEr62Y3u/QYQg20fJR/8IftZbFnaMj4zFk/vGt/qTvJ2ZeMDdX35OPSvNiQS dpA8ur8rXiAqHqe7V+6akTxx5VhJ8axwAqqukk31J/tTTbZBYskxEWW2BtRa WJPzQfBha/MOOXzmEjk6HjkJeQ7yTGybdHFtQuvjzGsD8Pzk+/ETzRa4QTsz tk5/GObqckWvMmxR80yxIrPDOCz4DwzbRThgroao0hmbUWAK1nhgEO6CT9S8 CXcyj2v4PuXJ5HviWbE7Nmf8GCDhM7B/yM8Xa3QaGYnDdPD7duoSfckPc36/ zynhoICvgplCo2kAbqKNm2l60MHC0ntpfigQZfg8L4ntp0CJ2dCWm9uD8MNp qQUa2T+w6HLF0CIEY3ZIe106T4FCqwIcxDC0TmfZG7uBCu8cA1T5M8Nx7566 l2kPCXB998p6eU8Evv1Xbd16lgrCFXkZKX6R+EPghgiF9J3yKvWPw1bRaLbl 6eoxsv8M1olXminHYp/mVsn8EAJOBTclYEYcYnIjbYo831e4SjXTxeNxVeS6 ZRsLAtqnxxI1ghKQOUDxD4ssDbZ3a/dbWSShp/aWsdWknxDq0t5ZVBXUnjrk HFszCcKcVLodFXFeejy/8dYQGKxN8bzPZYLh3ETB9scTkCRRsFPQwBY3H9n2 ybhrHBjG05cmBp1RbkpoO22SAbYDGmdV593xY/cXufy2UZigWO+eUfXEXfuC Mrr/kfV30qJgrM8b67c/cbnFMwb8xEYrmQ2+mJwW3TxnSgdO6w2rdKr88Puq dMKyaAzOure+nk0j59s6o0V7dQo89u5/2bQmGJvCU6ePCNChZSD8DZ94CN4Q fW+ynosKLJy6WvJHQ7FHQtG+iZMOjCy+8583haFjO8fRnRVUOMaShw2HwnHl 1IfWZjrJV+UCL3y1IzFIfdXftEaSpzr2GZ1Pj0KLN7M2U51UyDXbMbBRKhpj aqUCxY6R/jOptL3APwaDJzbtyST5mXN99PMBnlh8zMhjtBgSIFjQMqp7KA4t vcLiuVhocO+uWk6xQQJ+5AgbaZejQcr+8qld6YnYtvNgeC/5/E+zqwQW9yRh gnLdze2BNDD1ymS61qWAV9cV6ok9moLlunThmwf1UMHx2UOWrEHozbd+cSLD EDN7zJxG+CfAM3ZILMvbElNh9mzblSH4KmK6Y2qVDc45vLX3zWeA9qLsvu3C jhjJps5XyjQCW4vy3tfxuOLCV9qq6AQG9C4b1nvauOPvqAWrR42j4KeX9D1k 3BOTVH42KAADfvNwZKgoeuOS7M17t5fHQGe6RCW1zRfzH7+RTvlGh77V6ree XAjAMqFI7d1n6bCnl0dvY3AQmntWMp5q0OGZoGHWsbgQ3G2jePn2CAWYMrfL jwqG4peOwNriHpLPtvGNtweEYciZCMOHvFS48HPO6KRFBEqpKRYW2FLhfAXT /vLCSBTnDt0fmkfA44x/0anyUfiHosBs3E6FxmXr5Yq4aAxZdqhLO06AlnX/ Y+7NMSjLeTXHTZ4Gqfzvo5+7xOLbgLArN8k8W397bPTGwXg8HgGFjd4E7P8p /nRMPhGVfbbN5R4gwK4hOv9adBIK39p7bosN6ev2JilaIsl4vprb6oksATWv T72puKCMRqxuhVtspiBJgZL4I9AYnXmfd9z6PAHPP62revPLBuOVKlvUnozD uyadEsVcZxQw1TzUWM2AeqachxM97njNROJ9mfoo2PFxfnl3xRt/G1c/aGCM wlCa7b2QWD/02Hfii0vLGOBH32Z/x0A8YjO08WQaBebYmfe/nghCla+6bdLk +Z1trKgatA/Ffwqdva7r6TAwUP4syiAca6k95wopBKxQVIXJxeLMDXbroSoq uJdTDztKRKJ6zeFbHecIEEs2BevgKCz+qM9GqaaCZxeTwhGbGJR23TVE7aOC 8wWNNfsN4pAvQlyaupoGM3GLCzbH47HYPq+Zi+Q3uS0feZ4oJCCwTLeAHg0o ajuzeYMTcdWvrPefyfzJ0RZ1VYySR8EuTz5PvSloZzp0cuSmLrZHWKgqtw1A MZt9OhevJZbCUxn9miEQkk/j0Oh0wIDy13HnQkaAh3ni5a/HLthjPWel9IoB nA23H71p8kSm40WZLL4MuFurrL23yBd9HtypaP1Jh63C+783RQWg6NxIFEsu Ha50NvHEsR7F/RxK/1aKKUA9GS7rdSAIISa2tXgzHVhWW5d5+4RgIFQvLNSS /K7ylr/HNgyJPpWbb5mokORNff1MMwI3C4i6sgRSwbXi+UR+YiQe1PP1ya4h 68H8wLdW32i0GRJJFysheeNU4nEu41hUlRO45RhHAM1VnVtIPR677+w1OupC gGGGzCJPagIaFf1IywYaaGiMyjF5J6H+QpJKO+kvdo0coXvjdPDy0J9of6dB 4PkodiC+zgQ/JM5X2LpNwIKQjR6/twWazT3vYIsbAVX/tZc9i23xNXWRN6Nm HObGCm+c3uWCqxvaPp1hHgeDaGGnE16e6Jh2UGu3AQNYeMoUJpa8kbZQ3Ls7 bgwqRKNM0rR98Y69d//tC3RQFe235n/jh5zWwXSB62MwP8Q7EXo9EH9pv98w JkaBhA9+ZN2FYAXn/ftMjymw2W3qfW5qKEoVxrsuz5D8dNQimC4VhgkjI+Wt RlSQlIl/QAkJx1+Wr6gbBgkgyq3EI6wj0UbC+JB1MwHFS3tpv7SjcS2fdlpw AcmXTP7cd5NiMIbzLJfdVyq8T1a7qhMSh/c/7ttrxUUDTYvjrH5OCXio23p2 VoIGbC6XIqs1k3Cna/4IkwMNeLOnL4lvV/rvO3+a/ocpoOiP3SqTMcJlyVBn j7IJUPji2MHaYok810McRGyGoeu1RlW/ow2qO1tGaIiPg+ejMU/WcEfMn6sP MuAZgXyOu5nZSe4YJuFiTZUeha4xw13reLzwmgNLXscCHSaecUrwu3jj5vzg kR12Y9At/Utu8IMvihp82H/sLR1y52XDuroCMGNfzcC+U3QIW9dg96IkCO1v 0Y+MknymvqIinL83FK/o7z7o94OAsywWd5qSw/C4w9W314EK7emsHY7eEXiV 70NfugMVYqadB8T1ozAokjPH/TIVmqrdWY/lk/NJJ/nYjRgCcvPiWY5LxuBj YlQdWUlfPyXtnRoai38dO4tPRZP8wJF8Rd8jHkUX1o++8SGAe9uGKFP9RLyx r4+TYU5AqOCGGafjSdjYk2Ab4UODhrrw3FP7klHbyOH3Xg0CRrw4JQdJXvZP kxPlAQLCqmMV9198CslKg9fPyK+FZJqLI8/CTlROVbiw7t0YvKBu0mYpV8LR QaMTAvQpEHbZYZOVq40t38WdiyJI3uz79Pr8rv2oscf3/vqqYVj6YiV5OtAI C/5KFh9qnYB1tX+WnZzNcDOzYWHKEAEiOkMVxLAlEgW5F5eahkHV84NSaYwN msRLONtakfVvcSbz/mc7HOBxvqdnTgdTzZPhYoWOKPXSsO6KwggkvLpB/7HG GT3y5q1d5+lANW0pN49zxb4PhxjSNHJ/fDJjf59wRxYjFSvlDaNgsIaJZVWn B6oJaP+71ET2c3N8zfw2L2SnddmxvKODmq5Vpl+gN/o46y3ckxwDT/lYPd5q H5zhfWNyawMBVOH9r51/+WLcy1f77droIBnupkxV9EO2W5N3mhMpoPE2oeVA rj92tZ/mnIihATfHfKziSADm/t5452UWHa5WtW2y3hCILCZOflKkz11AyRRB v6NIcVH1754m80lGSvpUdRDu0s/5+pZcb+TGi3/MKMFYxji6v8KDBm6JLq8d z4Sg2uNjlknk6wMvF3KL7wtFt6cF5Xp/CRjteekwRQtF/lbF3OvDNJD0udp+ OIvkpfM+Wv9dT0yXVd3CKhaOytVb9tXcJ3ly6fRIaE84amtxnDfZQfrDjJZ6 85EI7OyIYOZ1p8LiIZFrOzkiMWPDnls3vAhI73qX6XEjEk2eqLjWOxEQEyhv 3mwahVbc/Eq95VQoWuueNLEQhW59InR1hf+ubxs6+PF0NHLmZ/q+Cib5QDhP jlchBkup9ytk50ne8uaPWz0ag6qmwwcUvtFAlaJ9a1tsLNbev853JZyALqej i7vE4rArcujZdRUyL/SNnL++isPYB9ukVz2lwQavnut9fvGocK8mqYyc/wLH dvrlrEvAQgG3JadoMj+eP30icDMBr5SYCR/Lo0Fx9nmZV6aJuL7icWenJXk8 xiYslvOJSCnu7tpKvp89XHg2V5iEPWU6phZBNPBbcvu+rJ6Mw/M3xZ21CGjQ /t26qLUBrSWvH/h24BWUrkoOHC2Twae/Z5u/9EzAjZPHCuqK1DAyb/TFWqcJ CDC/P1VxRwenxJXXKrANgsV17sTXnQaYbRPaSq2lg4AT40HVuAn2FoivEZOZ gGc16f+2p1vg7qeGI/kLw5C/WFJfImGNu09xVjHbErDNY0zh4U1b7OWn9H0+ MQ7HjhprGYIDFpr5H43bOAZWF2K27nrjhPJr57drxFPh3nqrDU26Ltiupz8X yjIOT28JZSe9ckMzh6BJsTAqiD6w/Ggi5YF8YaPTn2hj0BUi2ZMT7onWxl+v utszIPFUqrJzhxeu0eJg8BfQoEgrgjeL0wclLz51k705BoUay3u8zHxxdF1Z qm0zHTpNiat+pw/jsRvFV8GRgOkbTqHbaX5Y8Tn0e/XLMdiYbNMSoBCATGIs AcyadLgw/CGMJ/oImuzrpHrnk/uXyRvo9TAQ670FNydKUuCF/pk3dPYgLDlG lzvfQsDD6gjQ0AlG/2Mlagd7Sb/sqVLerBeCXxLSanOvU+CA1aPUXVMh+CI7 WPC/z0cf/tsZnJcbisqVe1yzqQRoeL2saFMMw7grH+79kaeCX54a27n3YfiT pXjqxWca5FB/cvXGhGPOqbvSR9+Q812deH5uawQ2S7/Q2vGUnH++C5w2zRGo LvlM6dshGiw4c0o6HorEL/svtkSS88/dxZjpx59I3LuWYSTrTYOHmQNRkxej kNVS44jsFhrcby68FGgQjf9G/wwZFhMw8CDWhj4ejXvU0hvfkP1KzXWevJQZ gw2oPTv4mwqpnsFSSxKx+OC2YXefL7n/Xt38da9jUfP2ZVE9PgIeCPqr74iJ Q2+FrNEwfhpwlfSdNRCKx4QZ75YIfQLMNDLPPWuLRxxLEyPI/pad9rcc9EhA bwv+8TBJGij6x5wY/JuAoZIfihq2ESB6O7VO7GIienpIHkojz9919rYY9v1J yEm/x/PCigayaTqf8GMSRu4K601nJtebU1uTpZWMk2+Lhw5ok+tZU0phGWXD IreMnQf/3IXjYV8YPw9I4JdTQblGzAzQuG9y+P1mFXw5cbHeWmgK/vz1ejmX gKhfFtQc3U/mP65U34vWxyBO5ot2rlTIqTr7Y2udMV73POzRRZ8A0zjWxIO3 zHGPv0KdgysFhsrvX25NscK9uc8LzLvH4Aqdrii10RaDxFft+t45Dqq0OXry aXts877f+lmGBmZfWF9WyTlhO9Hs6NU3CqVfmVZsa51xtLJfYO4J6U/JAes+ iLqh5LrCoMUyMn/4ZuSqxtzxSX2B9wPPUeDUPn34gLAnTq+RWxlrp8P1Xclf 6kK9MGXqU4DZFAFTMN4V3eKNDs/Vdnl+HoW4e2rKzUs+yHvju/Ndbjq821fY 5mlwGD1abr7hlyB5gp/Sn5Tjh8H9E5Q1VWNQV+un7kj1x8/D7Dl1haS/hAQt XNhzBJ9xvvc/RD7f87SvziH/QJwyP37Y0JMCik/d6xLvH8XFoyZdI8IECE+/ 2ef7IwhTryjH/5WlA15tcaIJhKCrbtCvKWMq9B/Or3v0MATrb6wZO0n6ULHl qNawWyjGbFPjjuKnw/FSw5Xe1WEo9VeKR4JKhZeLYV4p18NQaOn6vxiS1/Zl bVofYBaOOsXEJgZBAJtQ61v2+XD8oUzZaxxKA3eJsxczCyPwkM/Re3oPSL5x Lj6iLR+J2+tflUxWEfC96KRew0AkrnT6wDA7yUdLrF7m0VHI/C/DsLeRCtVe sQV1wtGIcgX/nocSoG0s0TvxIBo/KD28t0aJgAKbn1yOzjGofuPrd1PSZwy8 HlulsMTi+WGj7GYVAqQurGIwLsfiy9oVNSNTMt/Vj5TtNItDvepFJ65VNLg0 e2JF6EccWrMr7n++mQCFNxLVJkXx+Ci79QVxkICdd587y6knYIdLJ/xTp8HF zed3Lw4moMJN/pE34zQYqSj4/CsqEU8vvaJnmpHzb09625WtSSjrWac2nkAD PfrcQGlbEvpf2Hjn6E0aWHVzrBDz8lgakSabHT8Fg5Vcq0xmdDFFfzp14scA BGwVtpnaYoif1cLzm8+PQy2vZKb09oPYNL1R2oysR8+CLBSUtcQjypFXGouH wMAm6kZorzU2KTqKKwgx4CQxIG9pZodNHdyDztcY8HLlcinfJwe8sGXqjabq CNhZzYZUHz2EwiJm3u53CHincnmvENUFuW6sYgq5yYCxsMm/XOrumFhd2hkg OwYxh+9X/oj1QBkdUYGdm2iQd/mRQvdLT+ygPs8vO8QA0z8ZSbyC3uS8GjDK TaYAaKyyKbHzwa6gmYXL2lRoeNyyZe1lX4zguy2y+RcdHnrJlAdNHEbW62z/ ln5SwdhsiOexkj8e//b9DfswBVLsUD0hMwAVLp8XYy6iw2ddj6/xHUewzeri 48obNOiJaio5sv4oDrSLaLc9pIDTy54FfbsgfOboNy+3mw7GX/PXmR8NwZgU bob5PQq0as45H18bipZbuqtjbhDw8VrgBbgbitwsuup3SJ74vNcQ613C8HeX zB0vFiqwizBV3/kdhpPK2wQpJN9Q9vWzqF4OxwG/i9d1cgjIc1rVJrc/AtPo i8M17v9dP2kVsoOIQKObocqi3AREuSR8DM+IxKzojx2zFQS8Fl/VprErCq9I 3rFTpFGBsb4+N747CqMPb4xtaKVBJ+/VO3JB0bjaOcpVuoiAINmuQQpXDHIy Zzr/d39O6SfPHs00xqCK8blDVF8aPPYQZgu1jEW3Kzdfbk0ggFe8SOfoUiyq +P3VcqukgdKS76jwpTisinSffmxPgzDtzephOvG4+VtR6X/f9wbWMk5pfYzH yMrNbE+GSD/dvtYgKScBHT696400pEFHi9WPe7sSkbX9S8ESyf9TE/OKHkeS UKF6x5GXB2mwZVfhysd1pC8oT2XkiRPgavmK6bV2Mq64GfLcJ/NeuuaNyOaN C+DsXKiWM3gKVkmIn2euFMfqDt9bZYYEMJvc7Ps8vA8PFlL7hyqnIO9aRJhS O+B5l8a9tN+j8KRzgceRyxhHyrn7W6cnoLGASdOGwxyDvK4o1iTS4PeXFyKv 91rhqMmVq4EbR+HbRe879Oc2yCl9VDWtahxMT3dWeNMd8eCfgTt7B0Yg18Xh S5WjM6bqeO8mjjBAWEPN1uKuO/Id2i+kyT8KdVVdSjU/PNBxqxycMKLDi+BE 4zcHvJBH+V7KzsN04H1ydk9IkTdahvrdcvg0Cl/ChzW93/hg7cXi4skSAhwl P3fQhA+jWk1LxK8EOjjpCmdcd/XDQxdMOqx/jMG31rA4izv+uJG3/w2fJAE3 W+VVA5jJ/J5s73vkQQeObeukB7UD0Vy80j6ykwJmeX8a47uD8M9LhstpQzok nesIfMoagg4KUUd3vqLCsWXl6mTjUNxw56reBB8dFG9zSo79DMUne+UYA7Y0 WL7OW/TzbBhWT/Uxp9ZR4fih3WeU1cKxoYzvzdF+An5zzcxuT47AnUaZYY/T qKDq7MQtvzUSpbc31CmQ9c15W8iRzTMKGVzfFEbOUqG8KTDrOVc05rTceT1r Q4C/2uNtSgdiUHP2Fzv7CBXqxv18O77EIDWKufmQILk+bVHjY/mxGKAtoO9L 9k+m8cxLMbU4nH/Kdn2IzA+xshUJ3qR4rFGpmYpwJqBCKJLhLJ6AeSY/ey3I elcu2nyC7pGIqxU3SWy1JsC5+YPbX84k1OW+4O1YQYODBS979tclYeankJRm kt8Lai87HL4oh4WHr3Yad0/CxV9EZISFLoqUjz1dKh8AV5/TfiNhB9BQzuSu VwsDaEqZF/1STFEkV2Wu8vg4FG5hv1A+bIEnUjQ/qP0agoCaTOn0RGucrZf/ vHU/HQYuON7iYLLDDfqCD0BuHKqUfgVIFzvgL7uD605/H4Fn1csi/gUuuLfH f/TEZ7K+fGN3TPK64/KW5FO2+yggzTX/T/K8J6Y1+NfOk/XncyB9ZN9XL3T0 okh9i6GC/4MHN/NlfXDVaszZ7kMB4SQn0aYYX5TOFDLX+UAHoWTBx19X+2N2 tN7sUxUKvAowjgt3DsAMwRJH63DSZ/96pXz4GIgfLopu/+lMAf4shfEimSAc 9y0aCF4kIJtaJqboEIIBBpPJIhVkvr4YDB5aCsHOtCWDi1Fk/tu95JiqDEVJ 3Ujhy9cJKDLkDL5tGIaX+1o28qwm62Og/N3uT2HIrud26p0MAYpcE5ls+eF4 rjiGZ/UtAgK6vuv4ykXgpNTKwrFMKii76Ob4hkSiazlJvTcJ2Nxe63qGPwov 7LNm+iZE5pd35RUzp2gM4VXl+e9+ZaILO0rcfkUjIbzG5F8RDVbVFPS9OBeD /vabS3KlaCDKeL75rlYsjniMOmyMJH302Y16rolYNLmmd5ag0iBm9UcukRNx +HAq5bQ9yXPa0xEBY3vj8b6TZuIE6Ud301tfNUQm4NST7zCtSObHKR88sC4R ue1d72TIkTwX6Thw2z4JzR84fvE3ocGud/7fi/8k4ecNxlOSGwngf3Bv98c5 KXwSGPuTP2scIndOrTy0VUWlM7tODtlOgmLtCfsXAjqowcpbjNuHwDJZe4jQ N8FnJYMWtIsT8FOe1e2yjAVGN/CWvogdBe8dbrcjvGzR3uPtVp72cXCuqeD1 nrZHiuQ5q4xsCtSl1HNwzDtj0ck07rKfDIiaOs+9yOqBJf9aF+yZxyBg0O3s R0NPXHQVjNUSZkDbQ6mjyXRv7PtcPzlLzmv2pTJZHjFf1FNVDTgQTIcW4pyo +R0/rNmRmXDz9Bi4Fbkue3AGoKHRW+qTr6QvrG21oxUF4pdk08D10hT4cuBS i4VQMDIZlBUlcdCBpe2G4creEGQ52Xeh8xMFGuqSBxQiQ3GH9aNrmkx0GE/M 7n4hHIYCc0MJVXFUoN1adbLCKxzLL3dXhNAIEG/oMenljEBBwi1+cR0Nmpxf d5kYRKL5nbQSvEvOC5wNPJsXhXkvPdOfjlHhOk9mWa5CNEZfPULHLALuB+9Z TAyNwaoPaxSNSP6cYGwGrU2xKNX8gs5qRQCT5LS/qFccbixK3HiAlQYDOnKv GtnJeSfGJuhB7i+uchDJrotHY31z5kk1AurNBQZZzRJwpa2opue/+0/UrTbm yUvEg4Luvkf2E1B8RmSLo1wS/qZ67irwosGmb0cqnIwVcWExgc48NAU8hkrF O7L1sK/0flb230GI6q+B788MkcqkcmzcZALkVq2mn063xNOcYU0pQ0MgyuKr 4LbLBhujxZozuxkw027x/KeWI05n5L8ZIX3e4cruc5MPDuGLRYOmfe50YHSa qL+ScsXihlA2VtK3S5Mtx+S83fHK1dC/pyLI+aOZ63P0hyceM2KqerGbQeZ/ lugnXW9c736DKevuGCizbtno2eOLQ/PSNVkf6aAW/L7o2xo/7DlqGjUhSQUV XeXl9MYA9C9I8mwqo0PBr4prt2aOoNO4gK3VHyrs+cp99avWUbzCVW+TcoAK l1f7cy0mBqGNwE3LZjIPeZjSmY6khmDpu61DJb8osHCT01h7RyiyylRvt6MQ oLc+m78yLAzzRfTF2ISpMODvFanDF45TG+sf7yL95er0ZtUV+whcVPiq1GhN hXsu9w6knI3E3LXRBmrHCMg47rmFUI3C8t5SncN3SD9paWpblxqN8vtXzjhn ENDiFyboLByD2QnmnbnCNHClR85J+8Ri7w+hs5fiybzLihp+wxOHgnfmVa1I XqopbF7NaUvyfFAR84APAXEUvrVxf+LR/ezjdUtVNHjS7PrYsiIBX7YeLLhG Pv/kONSIqyWiPOtIgIYJWV82had4kpNw4I/X9nJHGvBHtbBp7UlGpd7Yb8dJ /3DeR9kbCsnYfvDunxmSf0ZGtGsh5yOwnIgwil/xhYkN3py/1PdhVbOXiU7n FLiMVW2NbjXC7KsXNARHJmAjS83PB5U2+IT9Iu3TsXHo9rua/azZEY3OioTt ixmB1A1sft0Kzsh1qFwmSIkBhm/dDtdcdMfLrSPCCxyjUJUSZT+T7I1HZ0PZ H5H5UF612Vh4zWG8/o/W9q6SDu0jD10MjPyQ5fTVjpvyFHD1WD/8ejYAdbq/ uqpE02GEOLzjtEQgbr8i8Ex5LRV8XYqD2JuD0JdxtfioGR0WXk8M9UEo7jEK 1Xyzmg73OmSHy2XCcavrcU3dFwR0rmwoDoyMQI/k9f7bgqkg4Nzm3MAfiR3t Z9uORxPwmFf8nat9FEronJ/pLKXCeynx2ouaMRjd0gwwSYX5E3J/X6fFYpeu lkZsIAF1fVfdq2Xi8PDTb72Ju2iwNcl7JiQ8HtWv2z7x8CDA6aDprvCtCWj0 cfflVm8aTKwddbGzT0TRaTsHBZIXDkmO89h+kcXQD5a/6uwmIWOnqUwOiy5a TU3oMzcPgLRHhzn1ugVavt0resJ7GJaYzn1nDNniv7D042u8x2Fdr4hNi78D +q9vqbOPGYWHzjVnC/xdsCH44LusFQbEtZ30Hcn2xBM22WlmvgwYcm6oPuHl iwdnpxmL/XRI3dxSmvXTDxV1Kpf3LY3BXIS5UPCBAFQ6HPU63okO+u3NUdX9 gdh+ifEgQIsCgVPewy1CQShwJdJBa5TMS7vKvdUHQ9DYkPIm7gIFPtj6Zapq h6El6yU3e0EquEbMvAxICyffT2PcpJ08H6n+bCniEahit9tM4hIVNrlUD9N8 IvEa1+s/8/cI0OAVrHWxiMbzcp/1gs78d7+zczsGFWOxhW/sa18Q6dun6i5d SI3DPxO8E1JkP4k9vpzKLxaPg0/YlCxInw27X8jz5EgCqtf7/GjdSwNN7eO7 KQeT8O/DkiQG6QMOs6XyXfdUMHS6qzDn0SQI9C/yjnUhlj+n1dt8HILZUzOT fxeMMcqtNSTv5QRkpVz4Ya5pi+ZX+dkuvxqHC6q2KTKvnbHdf//mXhoDLsR3 CJvNuaP/hq+fhOpHoSl3malU0ROZe5wEy3/SyfnKUb7S443lffw+pavG4PHg p1vjPL6Ytv30wWdIB9FYzZWp835ohQMbyorH4GQvn2lFUiA2DOl/bUUKsAuq xYyyB6Ob39sz5dvocEnpruXRnSGo5TATvbSRCtsT93JlBoRi98OtFNY1dFA5 /nHcdEMYKu862R5YTwWubTy9rI7hKGm4WYadQUCps/yWDo1IPLn+qf9Jkp8m yhc//EyJQr4inhL1Z1SQaP5XXLYnGl/EioykJRKw0zM/5bNvDC6zbnKgvqfC hp0zhm7csVjnwJ8Wq0/y0K0G5ssOcTgxMGcmykID39SvgkL7E/Dwl6RbYQqk D+7sEUpLScSCXkc9EWMC2N2tAlPFk7D3xqYljWAa3KGqdW+7oICrzjbHadyZ gh/hlabK6np4e1MUqngPwlw0wygwxBDZ0pd1Lv8eh5fGLwsGHS2RK0EtfObi EChJfQnxW7HG7wZsyZ4xDHByi7uRut4RZzqaul9zjMDIsV+3v7O54tUE6gf2 bAaox56b3Wbujn+fGNzPeDEKmnNi3Vupnsjh6Oo5r88AGMq0+L3XG/m1370/ s54Cc/SAUpUmXzT/KzBe8IMOzqYaZ4+dC0D21R6jqeQ8+ud3jml7QBDKfl/r tk+VDlejc1ZTokMwOWTVL5U+CjhEJ/R7bw7FstBTdV/I/Dkj8nGPmF8Yvo8K XmDlJn3lUv7yRrMI5DCv5/tjR4USF8HS5ZORmJKh9lGzgACJYcWZtbJRyHXc +XnKCyqY+Sg074iJRkVDepj5CQI2mJ5fLN8Qg11i+zg5VGmQv8N42exQLL5t +yX53/1P8vw+7tAyicfHrn9stnkTIGne2R0km4jMM6m8UgYEhG99xlCJTEKe +WcvTljRoOSgOFPRtmRUThfl5iT5WTjlbzkRo4yLq3Xm7HymYNd9Q2YNR2O8 rcR7XXd2Al7r7Ixg/2KDxWuMZiYfkH5SczUi8Zgzvh6clZY9x4Cf1ev0ll+6 4+q1rDIPZEchnunR0o8ab3xXNeRP0Efhe33i1U0RfnhswHTr26djoOT4QFnQ JhDLS/hkRQsooNzq+2OOFoSU9D/MXtp04BLPCZW2DUWg3FMJXU8H92/Ctm/1 wvFD5d9vTGMEyAg9PdCfHYG39pwdLa+ggoPzr9b74pG4oDE84knyu5UdL7U+ MArb/Hp4Z8n8+WPgVPzcMgZXKjcXXe+ngne7lHyVXhz2SWXeX1pDA8k7hYev ZcfjL6nS3GmSz4kPFZUGcgm4Xk6xyM6ABtkCNg8CAxPRWqjrZK4lAXPN7yWq TORxzqTwu4DMFDx4Fdnmdl4Xn7b7zL1tHIDl9wZzTmyWyLK2Vt/h5hAol/ak nH/ogEaKodMbs0ag+4tZrc59F7xWsq33UR8DxuycyuJve6KzzKG1jn4M8K7k qmSc8EWfuY21f77TocZdfyQ6NADl7x3Zr5lJhwvqPHkSfwMxaVaqwZ3k87u7 mWYDdYOwxerFiRF+Okz7Fm954hmCa/7WjsZW/ff5V529jHUYStzz8HRnpkLc uoRkE/UI3HPRmqkghAp2LjTV2bhI5LWy3cpfT4B+y65G8I7G7KMKF0dKyPVe /L626EAsFqq+tcuKJcBhg4FVrUo8HpnncRAkfXnRciK7ODkBrz9+doDQJPP3 2u6MXI8kTNmnf9GT9BfzeNHKW746GLFtyfxcwiDcDSzoai82wYS1PTeUgybA eUbvhoejBa7Z2j9+o34EdJ5sCy/LtUXk5Zf3ujYO17v+nKBtccFx8yme3Uzj ICTWoajm6om6WbknDwAD9vw112ad90b72Yh/Kf5jYCpkfFVVzRez29cxLp2h g5XhitH9Tj+UkZIRVKodg2kjH48d9YHI3Xnt9mUxCnjrN0COKnm+WqIvbX1B AaV3vZdoyaH4vnZsyOobASdD9tzVlQhDt/KWHeesqHDH8I+pSlA4tnktbVQc Jsh5eySuzyISd7yYMZ1sIn3Um/t8vGY0+nXuj6LlE2CS2B7ElxCD26RezLh8 pgL1okTfxaNxuMhY4gvkpMHMVp3iWfsETCpt098hSYMdb750yqonIcV15SOn Ew2iWM8HnfmpiC50Tad3U1PwW+bIvhhBI1S2iFQfPD4BpY+M5G1uWKJepIjn beVh4B2m/LA1t0HpL2cbWzaOQ5L4boqvnyNyuEVq1a0agYUMjld6se74ZHu/ q47qKJzP+fq3jdMLfwotNWUxM2B3fvbP9/beuC32pfTWw2MQL/bqVB7DF1/r 0PTkB+iwXlXeKacjADPV7py/XkQHwwblDb2ngvCeZV5uhSkdimaKH2+WCsX5 ZKVjR0mf+7pqz7JgYhhKZdIY/1So8FDhYiThEYG5on34lMxDutYp41u6UWiQ O/Brdw0V7PmgnTUvGlW+3XoUTvKze4aB+pY9MXj4dtcrA/J8yVy8OMUVHIts QzIPz8WQPPcg91ufazwuP7dOZPEl4Ef0vWSqbiIO8LkKbzEnIP+4O05mJ6Go eLjaO08a5J03W/1BIRnB+lXRX9K/nHb7PmsnefkrXTOXAwhQ2b/tTkEoBSZt yt9Jch2AgVitywmflfDA91eOPoNTcGUyfid7sRFuikguSeiegN23nhdL5tmg fUa5/HLAOOT1bUv6We2IAj0Zq/WtRoAiFB7Se8Yd7zx6ttZnDelLHhNBklHe mMQ8flF+wxjsU0qXYJ4IwM8tFxZEjtHhe4dbj8mNIJzY3Mh8w5wO8s2tYQnq oci8/0BMCRsdupcVl80lwrH3TrES7REBchESHwpDIvB8du1Dqi8Vtj68ws9t FYU6fErBXGepsGbX8BEHlRgcu9XBVzVDhTN3VRyikmLxx/CpMxYhJC/Mlfbs CIpHh5sHovd5EaD5SvM5n1UiOlMeEtdIn41uTsktGtVBsevTVd1DA7DIWr07 ucwC+X8empOuHwZ11QR7MTsXvLGi0byD7E/RzRRBhSRPnDtcFvzPjQFKplaH Fx188drch8j8FySve3Fl9H/yQy1N7nAh2hjIVHmHsnUGYuP9o872CqS/8Ysq uBqG4JPuUVaZGgqcchZYt6Iahl+4rVyrxKjAThlIKXePRGpvmNgZst9iJ96L +ZhE42LHZM1/10MF6GaIf5SJRWb7vD2rjxDQ8D77i3tiHNqe7L/pvJkGby3+ ynb7JuAnixH7ZikaRIqKvf1mmISvZK0XOSxooHHu6cyJN8b4USfHmzYwAWXy T4ra9tjinrgBvX3d47B1g5R2e4szJkpJtzCR+X3OLfK22jNvNBC6qRi0MAp2 HXkfFIrJ9eUIFOqeHYOY260Gv8MDUaxEoXTWnAJOh9mqZH1CsWa77KYuHjqI WK37fs86HHV+0YnPdNIXxzyfpihHYjPHCHVzAwHaJkm7LiVE4cCw4/rRZio4 HtIxuORB+koE2MeQ80xhIfegl3UcPuz+WrOBlQbPthzS2AUJWPs17oSLMg3S CZk0rYRE3GF44lmSKQHp7y94/TNWwJMUJe/Es1Mwufp9Ha7Xw4smTFOF4oNQ MlvrF7PfEl/5Z4WuLxmCgr28VUZ/HXCGeLEgunUEJozCkiP6PRFkZbholgww 7V3ndOmaL26xqeswWKBDUK9WwN+CAPT6wxa3hszfa6V34hXcg7AS7l9BOTok KHLzlISFYKytjAHXUwro7C69M+UZhg6KGRt3slOh+G/noZ1GEdgb8esUxyEq 5Kl/VZYIj8Yd9sHOqSQv1eko/XOzi8UrZRFvb5H8c6z/3zV7g3jkGHypcM2T 9Hkml+OmIUlobf3DhTAn+7398AurP8ugVLVud0ncReCbGlTxlVBGIf3zdrfS pyD88XbOLnljPPJ8vvwJyTvEN70NESM2mFa0zCF8axyy53aZ7nrkjvufia1Q to1CByHNr1Dhjffn1ooljI+C+EJPqae/Hzrr0KNqhsegfaeClfJAEPbVOeqv 2k8HAz73NQPmobjAESP1YB0dosR3RqVph+OXsxQP6SHyeNlOb7E/HIXnxu+1 7jpPBUVc65hoGoMnbs2aaQ5QIYKdO9FbOw5NJt0DZvloQLy/K7b7cCJORC3b ppL9ed3jimBAtC4yfkDw5wsD8DxG/OXKFwuce/P9t8qbIQj09YzyqXfAhvCu HK/mETDsEvN+f9kFP2QyN2sSDEhvrDXtr/PEFb+wGLMjDHicf8v9YJovqgby cKz/QoemyQMN874BGEPJOJaTSD4W3SwS5xKC31TMZ2IqKfBJx2F87mAY3j+S HLuDjQphQfcJh30RWPegbeFVHBUMKHz0+shIZJo7yHb+GgFpJxl7D7hFY1Kd xdkR0v+42sfWVenGYqA728Ec0s9Nk12oTxTicd5ii5S0IwF2n80bKuMSUCGp poiH5N+CU4/3VjonIR4P2iNA8oUOv8PKA9DBfu/7QrSXg2Adqr2eI9oWxfJe +G5uHgfpmn7jcE4XZG9eF5hN+nJ74roPBdae+BO0no/KMiCz2ESZ9ZEfNtVf 2n6kfAz6pficj50PRJPY4t6b4iQPMO/dr6sYgoniYXtUBykQ/LBOMycuFK9v nLY2XCKgK5E5aNovHL0qryl1kHz6cqxc9KRJJG5OPq0feZ+AULXOLWkq0Zhx /+Fp2+MEpERFKr6IikG/fj4x3QkqfJlcLezpF4d8ikfWHFpFA+N7V+8uWiWg vM+jF5vJfHK6nRW2f18SVu7Kup7hSgODZTb22EpFTPlTEMXJmAJV5hz1fV8N cUBJyOnN0Qnw9pRYPV9miSbhv9xfswzDnZ+tvXutHVGcBRdNl4fheepV65Yg d0y3sGxMsh6FayLZx90OeiN1Sl1GL28MhtaHW/8a9MXy6OlnOgQddrUpSnK0 BmA5B9uzWLKfF4bNT05kBaG/rtQjNKJDGfdQxlh0GJ6JTrLgkiT5KH9sYNY5 Ar1eRZYG2VDh9sSSQqdWFB4Iq71Rd5WshyfHP28JiMXSPbSz/12vemf3pcRZ x3h0i/B5so2c30/2rhSyaCdimFechNVBAnpyVOJGpb/Bec9C3aMeyfDjRu7R 0Nx96GoeFtl0bwp4+3s2fmQYobeoXLXMxATcyjB1jb/ijr2vneKmV4+C40VO vJ7jjb94X7CH/RiFkZ8veZ+0B+EGMZMmHpJXHkysBQn9ULwavIN/ei0dvD0u lNx0jsKiDM0nvGVUqFQIZ0zrxGBbodxJThoVLqyRW/M4Jh611q++LOJG8oVF 7Pw550TsfZCxyt6agKITm/qSJHRRzaBVdlX1ALg/nIzWemaBJie/7NoqMQy6 KW8pvxNc0PmI4/n6nwzo89K9nVrkiVSrz0EmAQyIO8oyIRrkiwoP6vbkUUkf JXgSDKiBaGq/wF1jQvrm2a0SM1YhuMqrsT+yggJa5k3LkXphKKPpAaJ8VBCn hMvvPBKJjxZ1ThXfIeCvmrOEnW00fv3BKbCL9KP1wrtn74YkYOjZT6ti5GjA 4vQ96aUVyUeaQ+IOpjSozN5ICxY2QaOsrxqUexMQ1ZtszTC3xamDCp+1X46D mEvys7N0Z1Totep1+swAjsqy9LZBb8wN+1z8SmAMvkjP8Jyr90O3Dcpv1xeN Qc1XH0vtnEDUTbtu8kyJAhOFdiFjwaE4Pp0guoedDvMfVjdauIbjJ9aSPnly /tWN/Qvj1IlE/y39Zw1vETDrN/pAKTAG71NzeeKHqcAX1HWX4RKHU0LdoYos NOD4lLbIY5SAlSeKJnRkaTDxoU9Jc14B44tvNra9JHm59mOTcrAlFoZHNIg0 DYHoqcmW1j2O2N0tfMB5ZRgKv7cPdLf74iq1H6NLZN4ZvVDtYqkJwMqfZUO+ Z+lgqZaasSYiCKtreZtXAx1mBVUrPI6G4SZnjpA/66lQZWBdxmkdgdK5Z/bl kvUexew+r+UeizduL0lHkvPp7J+3p0Ut4jFwj9UOKR8CBq+FLl85ZowJk1dT 9D5NQNsplnelzLbIl8D+fPDZOLge+qf2ps8dp3UOcD8wGAU5EUvG3UZv3N85 Fp0+MQoPXfY+7kryw5suTZ+mb47BW41bg6lOoag1XbTMSvqyyQMhpW1G4Xhd jtLzkUrAQm3Ohd+hUVjz/uZuiXoqPD9Y+4bXnsyflzJXXPuoYJNkMjluGIfq Cw1yLCRfKxz6bn0rNBHfTLlKKFsQ0LkPPWw7dLHRooDtePcAyCgeFmgRtMRG 5vZTryqG4G+n6onBfgdUrhk1/HloBJT+cE/tfOiJIidCI4S8GMDe6EmJLvXF 8aaHu//Nk34wqsu1HB+Av/NqrvqcoIPQFf7NnH4hmLqp55nQVQqcVlp8dcSB 5IEsdcVuJiqk3kNhbYjAr9EmHgOHqcAx6aeg6h+NTk+nThufJv0rhXN1qmks Vg+d3M5D+oJwZ/5YpG8S2pwxzjQk69l5cka37oQOcrte6PykPgiy/H/6pM7b 4mO9P2Er58dB4evuXhNZF3zcqJUXwTIOYV3Rx+h+nlgpylURZcoA4d8NLkfe +WGP012N5btjwOTX4tt+OxB3cbL++LiLAsU5uzXeaoVgpfzkxexmClSuX5JK Dw9Hll+u1x++I+DjmFrfRrtIfHUviLegmYD5fHORCJ1odG+Kmh49RUC3i1Em PSwOwzSD+iO5aXAi7X0YwzkBJQXWRk9L0KCOW2XwrpESfls8MxtA+p+BQ+HH ykRHHNrGuu69wAiI53jq9qS54yshFvc/oqPAdFsmd83bALwRcODDoXw6nIvb VtZ2LgjZO8r2vDajw/MBnw39vhHY3vXJr8GJCjxn9nieOxCFZr2GWdMXqLAp 5T59KTwWTarYVwKiyOOzDPdp8opHmX/PatLJ+hVvDw1sOZCIXIGGa06T9eF0 oeHkZ9Kf3iY23N1A+tP/fu+b6f///vf7xv97/H/sGFxD "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl2Xf8TuUfx/GvKCkreyaE7GSP7C1770h2ZO9RMiKbEqFQSCgZZZcWKTur QrJXS4vq9/z4/XEe53q9X5/PdR/39z7nXFfl7Ny3SZ+7EhISEjk+Svr/886k /x8XN97hfC5JQsKVexISTil8zLiM8UsKG+IliRMSVtydkLBbbWHZT45qsjqy p2WvOG45tssfkGeUP4Z/NM9l83xvjmLGpY2nqJljPN+4gfwN9cvVf6H+NXwD 38SF1N1wVMW1cRe+A86pZqBsuOxl2WC8G+/Df+NtalLjDLgYPuuzLvms79Q9 alzKeLKa2cavGteXP+Lf/7qet/R8rmcF3szv5BfwNfF1/je+oN4RuBPfjb+O 78dV+Fr8U/q/5g5zW/U251Lh9Li92uHGY40f4gboGaZnrp5B+Av8Nf4Lb1Wb CqfHj+LPHAVk1xyV5TXlnWVb9KU0ZzpztuOGGY8xziHP7LP7qx2qdk58v3g5 v5ofyJfCn/Nf8X/yfXFdvhG/xVy3nVPy6fii8fflf+Avyr/V3wUXxSXxi+pn Gc8zfoJbrO9NfZ/qm4+v4V9xfnVXHZVwDdyJb4sfVNNPNkQ2W/aHY7M8hSyt rAg+qaaIzyjhMyZx9fAifhn/Cf8ht4N7VV7DtV3lfuEeie8dP8l35a/g+3BF vjr/pN71+Cv+EL9ZfzOcAqfFbdRPxEPxaJydz4Sf1T9Y/yz9b3HvcAO4z+R7 5b/L68gbyj80R3J5Gnlh+Ql1hbni3ESuLl7IL+V38flklx2Py6rJOsa/T01y PWn0tOay4b78IH4m/ya3iusv/1T+pfymvI9rrc014D7Qd8v5fv6BuM/inuHP 8Bfkx/U+hQvhx/AE9TPxTPwKrsPnw6/pX6L/Y/0fcNu5eVx17gr3M5dXb0fu ae6ScQV5VXmH6FF7P/cA14rLivvwA/kZ/G+OTfF3kqWO+w6Px7XVLZC9Ifso nj34Mv4J5+E7mLOLOS8aJ3Mt5bkqXHu17+O9/EF+k76m+D6cGrdUPwEPwaNw Fj4jfkb/AP3T9S/Ay/i3+X58SfwJv4f/la/F1ec2xmfLU8kLyI+pLcgV417g auH5/Ov8Tv5lfAnfwA/zFxzlcGXcjm+BM6vpLesvmyZ7Fu/Cu/EvuKb5nzD/ BrV/O9/LpYz7LZ4lrvM0f15+VF9nXAA/isepn4Fn4JdxTT4vflX/Yv079C/H m/ht/Fy+Gr7IX+dz62/PPcWdN76XK8tV4trq3ag+GZ+Kb84PNh5pnEneS10/ dVPj2YM/xl/gn+N+VJsUp4j7Fz+Pa6iZJ1sk2y6bgy/gazgXf85RBlfEbfgv fdaB+E7UNXFd9+KUuJm68XgQHoEz8hlwT73P6n0pnll4Kb+Sj5dniXhf8p/z P/HP4Bp8Pf598/3lfA+fnM/Hn+LOyb7Rm9+4qPFz6qYbzzWuLn9F/UL129TP xufxVZxT3Y+O0vhx3JpvijOo6SHrK5siu+FYJ79bdn/cb/h78/9o/iPxXjMu YjxWzTTjOcbV5Hlc+8t6XtOzNZ5deCO/lZ/FV431AH+FfyjeKbgd35k/G38X XIqvwLeKa8B7+P38ev2NcVKcAjdRP9B4uHF6rru+Pvomx3eId+LP8HX8ntok +L64l/GYeP+rmStbINsiyyH7wVFSVl7WMu5rNff4jOQ+ozE3wHiYcTp5etfS Te0zal9U+ypewq/ge/PF8Q7+U/4a3xtX5+vy75rrT+fEfLK4N+N9y3/Hn5Uf 1t8J58OF8Wj1U41nG1fh5uibr2+zvpn4R3wZP6jujKMELodb8I1wWjVdZb1l k2RXHWvld8nujXsNH4r702cU8hmjuJeMZxlXls9W96q6D9VtkG+Rz5BXcY1n uUtcdj1DcVu+E38a3xPrQL4s3zz+Dng3v49fp78RvhvfjxuqfyHWFXgoTsOn w0/r76V/ov43uOVcL267/BP5FXk1eR35GnMkkieN+1Y+MtYDamfJ5sk+kGWT nXI8JisjayZrEOvLWHfIesomyF4351vm7CnfJt8lvyyvKq8tX63nD+cE7p64 t2Jd4Xq/5X+QH9T3JM6DC+IRcY/iKXgmrsg/HO8//a/o3xTvWbye38xP5yvH uoi/yGfV34Z7Mta9xsXkpeVN43tVm4S7L9adsU6Ndy3fgx/PX3K8I/9Pfnfc e3h4rAHwDHUvyzbKpuEz+ALOwrc2Z8dY4xo/Ki8lb6LuXdf1Bfd1/Jb1NMSJ cbJYo6kdh/vhITgVnxZ31t9d/wv65+HF/Jt8j9gX4K38x/xFvgpXi1tlrt+d /41/H5eDOxDfG19APize/Xi63rn8Bn4qPo3P48z8t46iuCRuzNfDKeP+knWT jZN1x1vwR/gCflvNP7LEcU/F+tDnnfF5+2UdXWtunB8Pjecfnoxn4PJ8bjzN XHP0rte7DL/Pfxj7Hr4SPsWf4zPpH4Jb8R34k/HMxUX4Enwj/Z9zX3Fr9d5l fK9xXXXPGg82ThG/M/Vd1T+vvhvejHfi83hlrLejN+5RPCTWAHiqmtmy92VT 8Pf4R5yRP+EojIvjhrFH8Fl74/5S1yD2eThprNnUPY/74kE4OZ8Gd9T7tN7n Yh2FF/HL+K6xX8Mf8jv4c3wvXJmvya8w303nW+oS8dliPcudlu2T5TJ+xHiw uheNpxuXlb9kvlnq16mfjL/DZ3EGdccdhfBjuAFfO/ZVajrIusjGxn4y1iKx vonNbNxrsdcyzukz8vmMQdwk42nGZeI64j7WP1Pte2qX4nX8B7Ff4SvGc4D/ gU8faxPckm/PH4t3ES7IF+Prx7MYf8p/Gc8V/fVxAr4H11Lfx3ig8X1ce31P 6Ruj5Gn8Ad6Oz8b7NtYLsv/UZ4n71JFOdtRRQN2j6p6IZ0HU4LtjXcY9o36A cTJ5O3lndaPVLZQvlXeJPW6s1bht3A9cT1yJr8G/aY7fnP9U968sc+wp+OPG p+RfxfeNH8J5Y48Y7zM8EU/FpeO7jvvI/DPMvzaeadym2I9xJ+Vn5Gn1tZC3 i/WPcX55UXk99TVijai2rayTbJTsTNx/8ZyW/6MvE95rnMM4T+ypuFL4RT3T 9ayJ74zbGHsn+Qn5aXkadYNcX3OubayBcGL8CF+Er6tvTazZ+T3x3NL7BP6X TxJrMvXP4d58f5yUfwC34Z/UPzL20NwS7iluo3yr/LS8ory6fGk8C7nbOGOs QY0fNH449mWxbsGT9E3Tt5p/QHbYkU9WWFYn3pPxTlbXWtZRNkLWGW/AW/Ap /Lg5q5lzidpfnW/yt2QZYm/lmo8Zfy/fE79FnB3njn1LrBnwBPwSLsE/FH9j c0819zv6l+C1/IbY//GPx2+EP8Wn1t+Ma8MdMs4rLySvHc/j+PvhxFzVeEbi VrgDP5zvhNfjzfj7WCfE71H2t/nSx54GF8cT1LykZlXs+fAx/D1OxTdV2zre 27Euivc2V5CrpXY13sXv5lfqq4dv83fFekz9WNyL74eT8Knjfufb6x8W+zC8 gH+Df5IvGu8E/kP+O74CV5V7Pb5z/i+cTr7bOJtxLq5vrFnweH1T9L3Np5Qd cDwsKyCrKascv011LWTtZENlHfE6/AH+Fpc3ZxVzLlb7C/cnTis/6vyd/It4 DrjGrDhn7FPUTcHj8RRcLO4h/II5J5tzZXzneA2/PvaifAV8lP+OTxFrddyE bxXv0VinxXuUz8/X0P8x90W8A+L3Jk9kXEldT/mzxnfJm8vbqh+ivgN+D2/C J/EitT/L/lCfJvYAsWbB49S8qGaFbBz+Bn+Lk/P7HLnwI7g6/5Hez33W8vjt yBNinaZmjGvtwfXFibhUuBnfRt9gZXPxfP51vj1fBL/Lb+RP8D1wOb4yvzC+ c+ef1P0ue4D/xvlb2efx/FKbBT8U+4hYExtPNi7KPW/OSeZcHvtWfASfxPer +9qRE+fD1eI+xglqmspaywbBdngt3oCPxzNHzQ3ZTZ+RGh9xPumzPpNlNs4R a+1Yzxm/aFwknjmu7zlzTDTHW7FOxqv592MfypfHh/kT/H2xZ8KN+ZbxHohr ivcAn5evGu8ivJP/jH9Lf138F/8fX0F9d64P959xE3kr+UB9bdWuwevxMbyA vy77TX2qeD/FGgaPVTNBzZuyZLK9jhyyPLIqseaO3z/+F5fnuul/Jtacxo3l LeUD1M2J/3bBLeba6Ckc/27+ff5orCHjv0/wlfj58Vt0vqbuV1lKflN8L8Yn 5J/K2+BM+MFYA8c6yniScSFujHnHm3eZvrH4ED6O71X3peNB/DCuzJeLtaqj kayFrH/8nmI/Kruq9xfzpsCfGGc0zu4zusf7yHiicUH5aL0v6F0afw/5OvkY eTnXeJA7xiXV0x834lvE8z/2E87Z+dx8Jb2rYs/Lfypfpr8O/oP/hy+rfjTu yvfmb8c6HDfkm/P9Yl/ALeJa631Hvk5+RF5GXlE+T88V7mecXL7LOINxNq5b rHHwKH3j9C2J21e225FNlktWMebCtxwNZM1kz8pa6VuF38OHcWlzPm7OV9T9 5HyZ/yn2qdxG13zI+Lj843iX4vQ4a6xv1U/GY/EEnJ/Pjkea+3lzv6F/MV7F v8eP5sviA/xR/m79Dbnm8Qw2zirPKX881pjxvMC3celYqzrq46a4L38o3jOy S+puxF4w1of4ETxC3XPqXpeNwvvxNzhJfA9qm8WzxziL/KG47+Kd67q2c5/E WkBPbXyTv8WXUjsq9uZ8L/4vnAI/wTfh++ifjV/hF/It9RfCb/Pv8gf5UlwF bm48g5wvqrkee0juoPMx2UeydLGWjTVoPIeNxxvnkw8311hzLVY/Eu/DR3Bi dZ85MuMccU/zJfGfjnqyxrJnZC30rMRr8YG4v/kLsmuxx4p9pvNRn7Uz1hqu PW2sa2N9FnsPPBq/gPPGOxoPM9cYcy2Kd1H8W/l3+RF8Gfw1f5i/S38/XJ9v Gs8C/K9zJv5Bvpz+bdwu2RvxPJP/LS8R61hHXdwI91bXnF+B1+D98Z3z52VX k9x5zCZ0xnnwUDWj1SyUDcdf4UM4Ef+JIyPOHvcov1Xvx7EWiWeX/C95cTUj TdiF68n9jpPjOnxDvpe+Wfhl/jW+md6CeDm/mt8X+1Jcki/Pz4pntfM5dVeS 3HnNJux3/sZgh6yl2jSxXsed4rdmPM74YW6IOUeZ8zU9w/BefBDH/3zc5ciA s+EyosdiP+moLWsg6xn7OsdM2Y96Lye5s91L2B7r8VhXx/os/q3Gzxvnlmd1 LYP1j1S4IPZEeCW/lh/Kl8Zf8gf4/2KtGfcB3ySeD/Fsdk7PZ437ll/Jb+E/ ivWX/lr4F/5Pvpj6p7ge3G/GteT15T30NVX7Fn4Hf4Vn8Gdll5Lc2SomzHf8 G2sYeTp1WeI+jd9iPC/xH/hRrrPi7ub/1bim/Al591jDyBfIm6gv4Jre5FZx e7muuARfjp+u75rzD+ouJrnzn78SNvD7jI/It8XaE6eOPQPuqH4SHoGfw7n4 LHiQxhHmf1X/Cm4NN4TbI98v/0deT9447kFzpJVnlpeMv0E8j/HvuGispxw1 cD3cjW/ML8Nv4y/xNP6M7EKSO0uihHmO244d8jTqMsX9hYvEe9tRXVZX1lXW SEN+17tUtlK2J56ruLi5yrq2qfGedT6t7rzsf8Vy4po= "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl2XfgT+X7x/FPoUmyZ/bMyiYkW/bee2YXpSgNe+9NirK3jOxERkSySqSU tlI2jd/j+n3/ON9zP1/P67rP6fN+v899H9/snfo16ntPQkLC7vsTEuL8Q+KE hG/uTUj47b6EhAmCss7FZV35T/jlSRIS3k2UkJAfN1DXTVZLVlX2p/rCjhKy 9LKUst34bzzboTzhR3N9azBRfhivUPeeuoay7rg2rob/4os4buAr+C2+JJ8B p8Ifcg3dW23z/SP/TP6J/CV1a+TL5HPkr8hflGd0vzm4N7lXuNG4vTnS4kdx M7yTP4WP4U1YW8JPxhfll+WT1D/pXELWjT/CrzT/YoWP40bq5vEz+Ge5Olx1 7qq+Z+Wd5E8Y35T/KV+gvpS6jDg13sP9i+c6lCb87H++UzNZ/ilepW6Jusay HrguroGv8T3M31l9UeNb8r/kNdzT22r3cNu55bi0vkx8Gv4f+UfqGznX4Z/j /+OP84f50vhl/Wv55fxbeB7/Kj+Qz4Rz8kP5V/kO5kpnnMJ4l1xZwi/G3xtP 4Y7ino56RE3912XFHGVkmWVpZXvjS+j4HB/Bg/TOFw3BL+FceJhrDDFvR3Xp jVMaN3cvu7nT+DPslPCr8yXZ72Cq2nLOJWXd1R7jV5tzqTkL4CZxHX4mPxX3 4uvzz/BJ8Q39Pfku/Ku4OL7NX+Xf0fsRt4Mrq+8xeTr5PjX3OE7gT/FgdW/x r+GXcW7ciTddwm96f8DT8Gd4jZplaprKeuMGuBa+Gb8vxx18DS/k97r2Tv1P qssiTy//V/axusbOdbnnXeRefJI/ypfBr+hdx6/gF+AF+l/nB/GZcR5+OP8a PwZ31p8Bp8It8If8GXwcP6D3svOPsunqjuO15lpurmayPrghro1v8SXj85Bl lWWQ7ceJHKfwMfyqnrf5N/BgnBePcK3XXaOLuozGqY33yL8w/tz4QfW/O/8k +yN+h+rKO5eSfc6tM9cKcxV0783js+BmcdNwX74RX4dPhm/r7cV35YfgUvgu f52viRfp38fv4lfg8vqz8Rn5A2qbcPW4xMan5Z/Jh+h5R92b+BWcD3flH5L9 ofZnPDO+L7ifo7G6uuruyErHcxTfwO+qq8Bnx5nwQa6p69U3RxLjM/Lj8rLu 6zW167mV3Nt4ob6h/Kv8Yzg/P5J/gx+Lu+nPhNPglvgj/kt8Am/GD+u/YvyL /Er8/dRXcC4tO8mtN/dKc7fgn8NNcD18N37njqdkOWSZZYfwfY5FsmGyIfEc jXVAltmcac25Fyfl/zT+1Xh2zMGVwafkG/St0teSWyCfHd91eVN5ffkj7vlv Pb25btxruCz+h7/JP4Pf0/sxv5tfiSvqz8k/xv8n/0R9M+cGfH/+fvwF/zn/ JH5d/wZ+Ff+u3uHca/FckY+SvxnrgZ7HjNMZ75MnU/eX8W/Gc+I7gvs7mult EM/mWGscT8tyybLIDuMHHF/iE/gNve/xI/Dr8b3Go11jqHl7qMtinN64lXv8 mDuLT+It+BF9V40vy/+Uz1Vf0bls3Ct/hn/fvKvNWwi3it8jP4efjgfwzfmG 8azR24frzpWLNUx+S75YTyV1uXFWfIR70LFYNlL2Rsytpqcsueya/t9jDY2/ L96oZo2a1rIXcAvcKD4Tvq/rPau+vPF/8tvyWu5ridr93IfcKlxZXx4+Wyzm +FP1zfmG/AD8ED7Ln+TL4Tf1v8+v5t+J+bSN4t/ks+DC/Bh+GN9Lb1bjDMb7 5V8ZnzJ+VM915z9iTYnPC28yx1pztJG9iFvixon+tymqoKaKYV5ZdtlR/LDj K3wKD1WzlB+Nh+IieKxrDXeN3uqyGWc0bu3+DnDn8GmcQs8N5yuyv2RvxffJ +cn4fqg9y2825zpzFsZt4/kU3wV+Bh7It+Kb8Mljf8j343vwr+OnYq3Gd/il 3AHjPVxVcT59OeTH1CR1nMOn8TB1y/gxeBh+ItYGPqXspt4/43cc/+14i5r1 atrJXsKtcVN8bzxbXKun+oqxxhrflS+TH4w9jbya+vzqc8rvca+fqWvBNeJe wMnwef4MXx4P17uRX8MvxMv1j+WH81lxUX4cP4IfF+uF/uw4E26DD/Ln8Rmc Su8t57/iN6OukrwcPif/wJwbzNmeexm3wc1wIvy02uqyx2W5ZMfxI44VsnGy EbJi8RnIcpgzszkP4dT8beOr8flxlbny+Lx8q7734zvjHjvwC7l53Ew8iG/L N+cfxYn55/le/Bu4krnuxX/zteNvwh/Ce/nVuIb+Avpzx2eCP1ffkm/MJzf+ mvuCG6FvpdrxeCQuHp8fn0Z2R+21uK+ox9vUbFTTUTYYt8MtcBJcOfYI5v8H r8A1+YJ8HnyCa8U1id+f8QX5l/IK7muk2k3cWm4RXqVvAj+Kz4ZL8OP5kfx4 /Lz+nPgx3Dbee/iv8Rf4A5xW/13j6/Kr8kXx+3WuILvAbTf3JnN34l/B7XFL fB+uovYZWSFZXtlJnMKxWjZRNlpWUl1/WS5zZjHnYZyO/9v4hvG7XFXuqXhX k+/Qt1lfZ26RfH7sUeUd5K3kKWLNijm53tybuKo5EuN/+Tp4Jf8J3sevwbX0 F9afL76b+JT61nxT/kWcEn/Dn+VH6d3MrYtefZPkY+Sl5APU5eayckdwev4f 45uxdnHfxt7e0VFPaz0PyKvJa8uKyPLLTuM25mgWv63okX8lH612i3y9fK36 yfKx8uzxnsNN4EZxE/AL+vLgbLhdrAP8Bfwl3ooz6P/X+Jb8mnyx+mrOFWU9 +Yv8TvNviWcW7hKfQzxTY0/BdeLacA/Gf7O8j7y6OZIY/ydfJa+j7gl1j+Mz XGrHunj/c/yn/raaJbLv8C51H6jrKnsdd8Zt8UOxFpqzr/oasX+6738vi3Xd 02rucOz74++B61JF9RXQlxh/ob4t35wfiNPgi/w5/ik8Rv8H/IbYx+D1+qfw 4/gcuAw/kR8d3wG9eY2zGx+VZ1IbL3x3Yq3ivo+9u6OLrJ3+h+P3Kq8nKyYr KPsSp43/Xnwej419FD8Vj4/9K57kGmPiftXlM85hfEz+jfFZ48zxuqj+ruy6 bFk8Q52fjvXZPV/id/NbzVc09rfxveMX8LNivee78u35lDhprM98P34ofibe z/A9uB5ewx/B+3F9vcX1FtJ7Vl26+O/GX+NxsY/gp+EJsU+MNSz2gLHky/7G y/EP+EO8TU132VDcDXeI9xA80LWec61asfczvjc+W/mnxgeMG6gvob5wPCPd 31fq2nEtuJdwenyJv8BXxOP1buXf59/DG/VP5yfyOXE5fjI/lp8Y7//68+Oc uH2so/y3+CucRW8ivf/IVqj7Ee/B2831rGwY7o47xj4c11bTUFZSVkR2Lt4n 42+Av8ET4jnNz8CTYl3Gg/jHXS+X6x3HWePrzv9rfCPea/gazpXivY/7iNsR 66R77aFmMfc2NzvWeP5ZvhOfCiePz4R/nh+G68T+FCeKzxav44/ig3hd/PuO /lL6n9B/Xm17riWXMf7b5d/KJ8azUN1MPDnWn1jHYo8WPw/Zf3gV/jn27Y4e ss6x/srrxrugORObcz1uzJfmi/Jfcx24Vlwm45/kF+VPu69JardxG7nFeIu+ WfwUPlfs0/gp/Dh+Urz36y+Ac+MOsW7zF/E5vA1nj21dkoT//wewm7EXVl/T uXK894n3cju5nvG8kr8jHynvKe8S6428np4msjKyYrIL8U7n+EA2WzY1vo/q Xo29TGzNZffI1sT6aM4q8b4n3yffJe8VzxX5QvkoeS95V3nqWItiL8X154bj +rF/xkni94E38Mfwofi74qb6y+ovHmsy/kZ9R741/zJ+LD4f/ju+Ep6sfzu/ KdYKvXO4afG3l0+Vj5cP0VPQOI/xCXlOdQ+ou1fdWu632L87esu6xfdPTYN4 r5Q9KSsh+zbe2Ry/4O/xlPhc+bl4etwLnuYaE2LNUVfIOK9xR/d4kvsOn8fb cS59D+pLpO9WrM3qazlXjXcG/jL/Mb879mO4d+zLYy/Dz4m1gO/Dd+fT4NTx W+QH8A1jT298n/H78uZqy6ktqfZivBM5tsvmyWbIKscaFvsA2UOyxLL1+He8 H3+I+8Q7De6Ln41rxu/GNV5wjUZqkxnfH9eOZxb3Gf4Eb8At9JXXV0rf/fg7 9Z34NvwgnA3/yl+Ke8FT9e/gN/NL8A798/mZfG5chZ/OT4x9sN7CxvmMT8m/ N/7aOI+eh/Uk0bNBzR+xR3f0k/WQpY3fb+yHZRVkpWXfxztDfBfwD3iamp38 W3gWropnmH9S7NHUFTHOb3xafsn4gnFe9UnV36f+djzHY6/kXI3r496v8Af4 PXyJeE+JdYZ/l58bz3/+Ob5n3CNOF3tU/kV+BG4S7xz4gfi74038cXwYt9L7 lN4yei/F79ZxGf+Ip6vbxS/As3G1WMtizZYlk90v24j/xAfxR7hf7NHw87gX Th/PA9ca6FpN1SY3ftB4s7y1uorqysYe0X39wHfm2/I547vE/cRV4WbE35Xb wi3Fu/W+zc/h8+Dq/Ex+Mj8ZD9P/BH4cd4p/++B/wN/gHTi//kf0P6D/TjwH 1Ndxrh7veNwhbi/3XOyPcH/cG2fAzWLvKnta9qTsx9jXx/cF/4xnqvmQfwfP xTXwcL6o+QuY/wv8OJ+cf5DfzNXlasT7nvwT+b54Z4j3lliHufe4ebEu8AP4 Pnw6nJEfwr8Uz2vc3FyP4odw41g3+M/xkfhdx78H6K+kv1zsa/FP6rvw7fjc xle4X7hZ+vaoXYjn4Zp4RKwxskdlD8m24GuxR3e8IOsry6SuRbz/mPPheLfC 7fjKfHn+Z64r1z5+b/Hdkf8avxP3Mju+b9wH3Ed6FnHzubyxZ+NmcVO4KfH+ p7cYLog74y/5H/G3eCcuqD+F/of13405Y5/qXJPvy1/nD/Mf8/31roz3g5hb /qK8nzyzvKW+lFzSWCdwe74KX4H/JfbLjr2yd2VvyWqpGSUrrqeQnrO4EJ+S T8pv5epzz8R7n/yIfL98QOwh5EvkU+UD5c/F7yfWLu417uVYJ3Erc6TCyXAT vI0/gT/FG+PfBPRX1f9UvFvgX9V34zvwg3E+/Bf/W/ym8Rz9u/mt/D6973EL uNry0WpLcIW5r3BhPhWfjN/G3Yz9sOMl2fOyLPG7jrVXVk1WUfZb7DcdV/Fl PFfNx/xi/Ha8q+LZrjHVNcaoK2lcxLiLezvH/YQv4l24iL7U+h7R97d8u/oG zrX4fvwt/lP+QLyrxjui/tX8Un4+ns6/zPeP3zLOGusYP4hvE+9vxo/Eeivv pLa62qfVXo49q2N/vO850siTy3fIbuOj+CB+MZ73eBAegLPhN8w52Jxt1aYx Th7PwlijuJP4aHyH9dTQUyneq7jf1XbnOnKv4ALxW+N/56vjefGM4bfxy/AB /Uv4d/h88Z7Iz+Gn8WP1ljJ+wvi8/Gfj74yL6kmr51E9O9XcwcfwITwwnqd4 MH4BZ4/fcTwrZDVllWV/xP7IcR3/geerOcgvxQtxPTzXtaa71jh1pY2LGn8t /8X4e+Ni6tOpT6F+l5q7sc+N9zfHM/Iq8iuxL3Icki2TLZLVN8d4WRnzFDPP Bfyr8aXE//v/vYur/T/lFuEH "]]}}}], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwUl3c81f8Xx++wQigUGYkSJXuH9zGSvfeKa+8tEmWEFBUaMlJEQ5QUWZUV QpSEL2UVJTvruvf6fX5/3cd53Pf7vM/7nPfnnOfrECnYwpOAw+E2GHG4///O rVCMdL1+anDM2E19xY2jsIcxcjr3W9DryGSfWsBBNMu8F+/9L2gmTEZeLpYV YptKcXT3p9Ct/ZaFHJ4HYGREowxdnkX6ruFuBTJCoLoxaBwbOo9Cu+fudx4S gZ7LSuf+k1hG9P8xCPJuHQHq7STjraJVZJEoc2ngkRhIlH4S2s+9jvpuZuzx 5j8OTtV8/+Qvb6LxGVu+gyon4Gqz9wcLKhmdTx73PzMhCQ19L++GhFLRkEhI 1lOiNPz9vhOY+XMHkRn/fvtjIw2Z6w+FBiXw4FeSoM4TJA2lVEPmn14E2Pd3 7ECuiTQ00a2srhYRYWGP9i8bmhQMstwZI/xHB7inhcd+s0nBwl6ND3u4GSA9 YqqN98cJYDgw/VzIlBFWovn/Hb4gAYKH0u9KXWaCRsFrKtm0Y6AoJp2s0bIL InwWdxX5i4OJ1GCgMZUZFBu533V9Pgpx6sKa/qG7IUAgm+ZYcxhydDqOnXvK BmbKYZVR2iJQbhjEdfknO3y7ePaQ1swhIIkz73y8xgEj2R6r7g+FYEFiLPyL xB5oXe/I20cThHPSz2dHOvfAA6mwkLBZfmCQT3Ke9NoLutKMnRxMfJClZPP5 N5EThrO+Wv2w5wXBk+Knl4s4QTewzmZreD880aDUb6pzAY9dUsKu5H2gqPVJ GvcfZj+8aHnbkhuaTz14yBjNDcVNS39AhwtM9CMPsHPvg5zjzipT5pwwYqR3 bV/VPpDn+Cv0MnoveJnx0Qma7gcj0nKcwas9sGK5EH3k737oGH7GUk63B+Jt 389LXOaBChrdO/DgAGbHHJK8KC8Yqzi+ul/MDrdcvL+dbOGFA68/iK3dYgNh kqqRtusBSGsd0jG9txsqPHe/N6AegJa2wev0dayg6juuYHGXD/iMui79N80C 7QEvn9gr8YOX4ZOZJQEWGAu3z/EJFYDzf6QcOqp3gc9ZiV0hbIJQVCIWzcmx C/6d24k7+1QQrrjvDcmLYALWxIfeKT8Pwk7EROoxG0bo1lJb0NUUgideTHZD /QyQ1frwUdc1IRB73OzBaMUAgh3RAp8lDgFtV95zoh89TOtPfrOOPQSWn970 0ih08OSjYdZw5yGQDveT/pJDB4qfBBknvIThFOvvqN5+IpgMti4tFokAQ1N9 2WYMAS78cLZnWxeBsgdWn+hFCfB8dv29hOFhUJ57xHT7Kx72bItl+64dhn2c Sl+SNfCgRde8nWpwBHqUuCvSN3AQttvRo/TeEfjG4uzi9RIHAwczFKb0RSH2 WEkglxwO6MVFC/H3RGHKbDTQdH4HKcq+ZRD6JwrEJ1dcDsfsoNs6y9+cCo9C 85fMYeZCGnLwtT43uCIGIuMSvcP7qehK2MLkv9Pi8Cnwaq7XWwpqiE015CwQ h7bo73vN/ShIIPMNv9npY3BG4zBjS+c2MrltcSko/xikdvV/4IjfRvFFc/NX l4+BrIF1sp7CNhqvEnjbmXccvOfkuveWk9GehtdHZ5eOw+PoXLaz/mSk1WZ6 nUFXAnCHq6J9TpBRybcEN+0lCYhM5yx+ULuFvCk/iY06kpA1aJwf82cT3aG/ EPBfriSUzBTf1GnYRB1sPF+3FiSh5udeca7rm+jYIYNSxVwpYOq2mb2ivokc j02xWS9IQX5sqBDf/k3UzttU/+aQNMSeUqCcX9lAG8K2h4eipEHmpTApo2ID XS8rtvO+Lw2tIqYvjl7bQGISS1fXP0oDw24ukYDQDfTuudr7S+vSwPpfw7S5 9QayU7i8xnVIBtIsRe/1qW6gpTdfxUsMZaDZRCVs/NAGuqwh7CIXJQOyM61L McwbqO50fbv5RxnIVbnhLjm+jiy6GbfH12SAKjt1V61nHc2ZWUmFCMkCt44J ta5+HSV/LXLfMZCFjhtpR0ueriN+h/nbmZGy8EauhHs1fx1Vf1fpFiiSBQHW ZKHia+vIyD0F96xLFuijY7crk9bR9MxnebU1WbgXzVXFHbOO4gIO+n48KAdf iikP+4LX0b5l/wIHAzkwe86VMea9jioia/t/R8iBTPz9YBW3daRLpmOIuScH 3zNySycc19H3eHNVpi45GE/aPfLFdh1FEQuDbv/D9r98vLPbeh2xp/15IHpQ HtptTOwzLdfRI1alb6/05cH6TH24JWbDjSSWUxHykF5vfMTJah19+L5Pg5CP rYfjZVE268hE4knI2xZ5KF+9QPfEfh0NxqgXn5+TB6/vkatrzuvI+UPfVxVO BTgkP+ji4I7dj8uDaUNVAeJ3jDy/+a6jANKGajVJAUJLKuwCQ9fRamV6YGi6 Aox1qDfyn1tH56gCRZJVCkD5uaz3C8sP3vDF57lhBdjV2TTZlbmO0u7o0D/G K8Ka0ND9j3fXEcevb0pe4orQsr3U/btsHd2W8/cTMVcEJBo5LPp6HQkm0PLH oxWhO7bBL7ltHZX23vhUUKQIiXly5nSDWH18a+V5lhTBlyfiZDh5HZ2sMfT+ ul8Jclf13nixbaBmuh+5WUgJ1Aos4y+JbKD+e/Q7rNew/z2yskzNsfc1f0em 67USqGx9yMP5baBxVQmP1O9KoPEnzHk2aQMtfLXoxEsqA75Whc63fgNFivza brJWBj/VtNdMwxuIEhIjeT5OGdxDh2v+bmwgFtai7PVuZXD9oHz2usomEtOa d57zV4HS/X12L7s3UeW1i9cfZasAeXhOYOLfJlIc42zxrFeBTaHt8jDBLXQq WlVsnFkV+h6G3e6P3EKkitSVgceqsLUivLyoQEa/tw8cyepXhYqJDOFnvmQU ol9ha7qlCgtueTfmC8nowvRAQ6feSShrn3xFz7aN8g8IpzbNnISkqvcSP2nb SMTn1ZtYdjXw0+ezZUcU9OSV3l9lJTX4xJ660HeRgt6YBZu/TFGDh0yZBQK7 qGgwpYHv0RF14O45qf5Vgob2rNo8v+GuAa9TGEtYz+BA0PmQVWq6BhDSqB5R 6TiQ+DC3cf6FBmiYxUL8axzo5V1EPjsaEKF+nNmQAw/x2k96NfIQKFU8+jLS iYf1zvj1SF+AF3jX0Qh9IlBp7h1L5wEuxulYoBgi0Mnr3/W/DpBWcP1yzSMi 7Cnk1HCrAZhO9GrWZ6ADni+b7KNdAIuNqfMS8nQgyPR9wuY7gND7GyZmbnQg EfbokhG9JrDGPtsYq6UDubIM2w88miAllXd81xQdqI6GiWtJaMKPiL7qdRZ6 0NNV71Gy1ISoX5k8Ofb0YBorfK/KSxP4YIoDH08PNs8ZQ0+c04RoxlLC0yJ6 cD/wmUvkPvZ/d2GB7Dg9+JnW/Cqo1oTxK+TYPgo9hCTn1/J0aIKkdqKlxH4G OPsmIT37P014Y8NjJy7FAPELXk5si9j+vIIL5ToMcEnESPIyQQuWz935kG/L AFftZHB0+7SgboDt3JQ3A2Rn7PscL64F2i1KkQGRDHC3ebt4S00LGEQrPUQv MsD9jfHICDMt+PiEhUxIY4BHEu2nF921YNuNSWjjKgNUuD3l9TurBVP+UsLb mQzw6tb1uel0LXhe1tTNjNkNHyMbzxRqwcVOjqQj6QzQjHO8NvICs9MqDEyS GKBTAdys27TA12DXxysxDNDnd0Sub0gLSMejtWcDGODbPWZ6w79Y/KwVEaHO DPB9YHGwbUcLrnDuu6hsyAA/d319BJzagBOtaTBXZIC/GnXn6kW1YfV9QdKA IAOsht8zUlTVhuXvzssjdAxAfpQs+MJYGxbtWYoTZumBkdO0uTRCGzgvvmA8 8Zge2PTkcw6laUPMzFZbRAo9cMXxeuXnaYNbhc7JSTd6EJ6Z2pXVrA167eIr 7zjpQaM+2jyOQwdOi16/cN+bDoQ+/+4tPKID3eOHGjUU6QD/28HonaoO1Arl cjLT0UHrPvXTRE8d6JHXuTpQQASDMLz65Tc6UO+7O8CvlwASl8PqnvTqQODN R89e3SXA7qIppe4pHbCaXSYZeBOgr6dNlp3tFATiq9mr8ASwEU8Xu0k6BRMr 0/uequNBGbYfvj57Cn54aOxLZsMDr22AyNDVU3Bg5Lm53DgORpNNBPlqTsFi 1cqqUgoOSON7ue6z6MKbnRPP2Ot3kM5G0o1mIV0oWOvhvOO/g46wrbFNK+hC Su6DeT7BHTR78tuuo6660KHPNMN7mYaCb+ftlFfrgheT6fLHKCoyq2CN6+3U hWMBRoH7lahIti2OvPhdFyR0qGSjLQpaXzmzJrvrNMSjxh3XJAoa2tUfZiV4 Gj579BLlDbF+IaS1FCl3GmTunrMd4aKg8yaH52qdT4PnIb2S1GfbyMXzps9I 2Gk4mK/4LuH8NkLnGX5tp56G4sTQJAXjbUR4MjuuUXUarsMarXKVjNLonw22 MuhBq9jVs+pWZOTHL2j1i08P1N4OF5lLk5Gh3LV+Rhk9CJk8azO/m4zY3EK7 DRz1YM/jlZySni20dHZSPyBED57n3BN5VbmF+jMtP2Rc0oMLGW06StlbKKdB obmvUg/yuJflzrtsoagvpWilVQ+cDFRCFHS3kO2f/Y2cI3pwaGaPgLHUFlLG X1ZVWNSD2+muv5t4t9ABHnKNDZ0+WL3UeZ9Cv4Uokv4K0bz64P7jcnHRyiYa OzValSupD+f1FD4zTWyiovCmZ6N2+vDpsazx6/ebaGvB4tjNAH3QKubBD1Zv Igu/mVLji/rAgbNr2v14Ez39GSvCkKMPps971BwLNxGdG0dRU5k+lD9869iQ s4mcR0v4z9brA9GjXFDq6iZ6bauSK/VJH/SsuZ69SN5E7F96uGcn9SEsRt5C K34T+ZiQsorW9eFFcPX5H9Gb6H3nOps9swGc0jRsSo3YRAdOXbmyR9AAjpra fVQJ3UTh7w4ydckYgMtUxLl/QZuo+2R1cuIpA9jVR2h9HbiJjtTo4U/aG8Cv mer3FzA7XnYsbjXAAEY5OStMsPXfnoWSn140gLyGlSnhkE0kLc5w1iPHAN6V /B3bDttEl0vurvI/MoDbQ70Kw1GbaPKgVMjXegNQ+okrqYvdRCfzWv5mfDKA s0uTtHsJmyhnn52v7pQBXLMSV72ctonmb/z9SVs3gNZXh72iMB7V3Z1AqmE2 hI8vWCu9czfRvTTuH8GChpBPlHdyLt5Em8QnjmKyhmD+Ve2TbcUmMr+gMTR+ yhB6pHmSbOs20RPyZ6tce0P40K7K5PxhExGjvPvNAw0hMX10r+/XTeS0vG3M nGAInrdOOp6f3kSvAq53NecYggI3R+NtbH6zzR4+HfvIEMavnxJuwN7D2+/G 8PeTITguu9FEjm8hHofJhpIpQ9hkDC33RVso5GuUivOGIXR8vlvTYLWFhLvv yfYKGgHn19b5a4lbKPa0fGWKrBHolhFe7M3bQgPNHceRrhHs3LShlFVvoZQ3 y4efBxpBw2nfT+xzW+iHfMp9nwQjsAxT3PWTkYyUnx8QPHTTCI70pdt/PkJG f0q192c1GMHp+n/5ZA8yMsm5uSuCxRgCmmPDHi6RURn7sRSJg8aQ27ef7sy+ bYS70kT4KWsMbSfX96qqb6OqhJltawdj+KATedM2cxvtC1ZZUHpsDCpfe6JP alBQ8J8ev6UGY7h27CSZNZCCOjxJM4/6jCF44L8JXAEFnXO6Ms67aQxrq/bt hjgq+q4/9nlb1wTOV1swqQ1Q0d4yKtnByQR+J4xElnHQkC6doEhdqAno75XO NTehoWdNLuHR+SZw6yLTjn4PDZ2XG+dcWzaB2H1iAitDO4hXYMpqId8UWCuv gAfWP43OEeOMq0xBbMGhnFseDxe/iTws/2AKJTWvg9fs8TB7w2PNb8UUqkhE LeZSPDgSV7tWRcyAs+Cb6YQ6Af7JEM8US5rB8nvqKXd3AmS6cq5aqJgB3ieq /EYaAZob5fiqTMxgUPJc5YN+AhyLjvAPiTGD7pORykpORGgtTd45mGwGlYrd 8a3nieDyNSf7U6YZyDSySBrlEyFL9lW9ZIkZlKa31f35RgQJtzbT7xVmoFi0 Wtu/SoT2a1+nMt6YAY+82BNLNjrY+rvGMt9rBnZVp290a9BBFh9DUf6wGUwc IjrdtsL4xmCfvNG0GUzd3c3/0IcO2qNFO7YXzECpVAJNnqMD1zJFp6dbmP83 RVfUrtAB+avukgOdOeSZXDMqzqWDHDrbZGZ2c8hhWA1jLKUDSTlvnjpec5D1 lal3fE4HHW5ny30Pm0MYp+R/ORg/ka6nAq+UOXBcESx53EQHlKbbAx0q5kCw +7I3u5kObs2X+UTrmAPgdTyMWulAir+WctTUHBr5UmW+tGD+DDquf7M3B+Gv DxOOvsf8xQwdTvUwh31WvlWGDZi/stlaxWBz8F7cuaLzCvM3uGn0K8YcxO/6 y/GW04E0/a6Jm8nmcCokjv9LER10yfFGnrpmDnxnxlbjsunAgyS+ay3XHFxP Ey8dTaYD2nWVgpISc9j8OXPnRxgd3HmrL2NVaQ7tRWc+15yhA9kF+zZinTn8 9tt7qcWADjwNz82TPpnD4adHdnXxYXygOVQwPmwOUgymrkEEOhhVVDRxmTaH yhvS1c9miGAhvFJhv2UOl+ueezlVEAG2fEPMRCxg4olKk6gUESgLH4R6T1iA ptuRX/q7iVAzfaTfUNkC7pkP63X9IYBk34TMaWMLcDDeNEElBOAvs19VP2sB k9y76Rw4CTCUX1Ncn2ABdfo+yl0LeMjO4rZSuWoBTngan1oXHpjj+6vl71tA +JXym54JeNi00o86/tECtoabyY4rOPhCUNniOWgJll7q+sZ9Oyhz89bjW+KW kKx34nRh1g4yWPhnzyVvCdX5S3eP2Oygd8PP69j1LWFKrDJieZyGKp6LnWcI t4Smn5t2eAYa8itNkUiOswSTDfV71z9T0ZH86VF8miWwSqR0RhRRUX5qkTo1 3xIWncTuaQAVpbvw7Ky2W4JVxdnZL9coSNcqqjK03xLemGuu7/KmILzBwJnF /ywhUP599XVMj0QrXH/3Zwk7j9yCv/xvG8kfXwjx2bYE19EjGet922hRyOjQ L3or2D8l3lNesY28WJkSJw5YQcrXGIU/gdtImOAle+aIFWQ37r0VYLqNxjZa JkelrIChKvOopOw2spq6oD2kYwW/M8z+eWyTEfvw2Kq1qRWItzWf/DpBRl29 J0u+2FvBljh/z7lOMtKs26D7FIStZ3He55SP9VfSjPydaCtwqVVXW0wjI2nm bx5uiVbQ6/vYPjWKjI5Wteccu2oFOzWm+cKeZCTo8Lp19SYWj9cNxbcYz3AT Sv813LOCTIOjwY6nyIj1yc3DKY+tgKqYn7OmSEbkrYhknkYrWLc4pCwgQEbL 9z2qJ9qt4NnQtbKyPWQ0q281/aTPCmJZjoyLY/1+fFmbK2LECl7roOQH1C30 LVdOR33aChaKa7Q41rZQr6ZIBMOCFbidF/4ROr+F2n/vLfm0YQVX5NWPtf/a Qo03CAN38NYQ5NTHwjqxhapVVogkFmuwWwiN0hrdQk8nJuSOc1uDoFpphM/Q Fnpwud/9n6A1/G1MFIj7uoVyZd5nN4pZQ2VGfuGFL1vo+vDzlhRZzGbYLx38 eQulJhStmqpZg1bmupAhZseLXxfh1bUGAY7z3Xux9VH9FywnTa2hoGfxQdvA FgqMCU56am8Nob0yAu7ftpDHoTMvI9ytofrG+74/I1vIqdNkSj3QGny4Xzo4 /dhClqEanIxnsfUjnC4101vIgFdSu++iNZS8HMzf/rOFNN8LhOemW4PJ2qUJ sRWM53x3F5NyrOE3w0OyBnkLSe2hfj5eaA3vAoJ61IlkJPrmL2GtzBoecB7T PYLxpYDbqGzTC2sgrS/ar+0nI65d3aTUemvQcIxkqRAhI5YX9VlmbdYwyabq borxKcH+aTPvJ2tgk3wXNaxORlu4vJXJIWsY4ZpxNjIio6VH6cLlk9bA11qj /MiRjH5s+iZqrFvDfISOO18cGQ0W2Vcx4mwg01qKInuNjHr19Cf7dtmAz9bZ I/IPyKjhjpiWu4ANPHK81LzaRUZ3lGfwaTo2UAq/Lvof3UbXxgdlzE1s4Mh/ HuOfYRulpLW7HbCzAYuj8s6HHbdR5NDD9+X+NtCVY0N/KWsbWUR7JPRn2UDG Q78OOVYK0heyenE33wZuK3cenJKgIOjQnnAvtYHZ8i9V0SYUJMkjorn+xgY8 nNtVLHIoiKV2Asc3YQO+54vlbx6joiWz2yk1czZQv3Fo8oU1FQ38NmK1WrcB 1Z8Cjt0JVFTAV7s/g8UWai7+sp0bpSKpC5mSOwq2oDzE8NWokIYsdU86TaXb grOH16kBERwo/1iauHDTFqJeqv3+jnDAH13qzV9kC0X7O5+JOeHg5+M94dav bEGc9uO6000cnN09e/nDD1u4J+TfSdqFh7yBnJqn8nbgZJ1xQ2sR44FAA3U9 ZAfTFw4MzTATwIMB1zKtbwdR6GmmiCgBTij79wqcsYOHP3Z3H3EkwN5+Ias6 Xzu4WMgX9ymCAOu+g8M2EXbQnrWPfjCDAG/zNH9eu2wHtR4aZ5oaCVAiv+En kWMHktKfkxMHCJDWU77UUWgHS6RyUx+s35vv7Kfgq+2gsfdAhwsnERTv9CQU NtlBjIXLEUtRIhyQSWI82WkHs6lNpdLKRJgiLeyN+G4HTFW9euF2ROjYLr7D 8dsOJgw/kN96EaE8x17w2aodhJz/INUWToTrJ9hL9Gl2kFSQlhN9gQiR7a3i v5jsIZRrrKbvMhEczpyrTOS0h6PxdVJtWUTQ2JRSOChoD+/z4jNN7hJB+MbP unoxe5CxHorzKiIC47E8sJOzh9kguh+MD4nwt9ms/Z+6PdQE976SfESEPkcG oxt69nD61DetocdEqP5X33/C0h4CZqcPEJ8QITcj1LbL2R7MOU8xVWLr40WP jnn52IN4o5zIGOaP9HaURAy3h+d0Zj+u3SeCrl3W7L04e2Bknh7vyiPC8eXT QWpp9sCbzcOdnUMEI7Vr4Yez7GFocLD76lUiBKQORrPm28Mdo/dFJklEuPpZ IP7fQ3u4n9Ht+CMay4+AZ9JopT2Ipj2/qRtIhG6f8rTWN/ZQyzf49Kordp+X qxnlLfag3eP9ss4C4zGDxDvnv9nDt/j7Yuty2Hk3Ows8JuxB5WZeL48Idt44 R7HRnD3sOZ7xxngPEZ5F3XvGv2MPjWutLQJz2DwvbmhuEHWAjzLmUlU3CWCy QOwokXaA339yZd/GEyBIxbDnqqoDiLaHPtPyJkDlp+FvTiYOcC6ilDiuSABp yvpfSqQDJPrkaX7qx4Ostcx+9TYHOCMfJuyDw4NFUTT/kU8OsBSQ22/yCwdh c28P7R52gIyjoWDTjYOXCSYSY38dYNCq1nr6Dg7kK/w147gcoWWrSuOFPA6s tqp0PQUdISn2cK8VPw4idMiGxmKOwCx7ulyPDgevRtJsBNQcofkEG87jyQ5S ZCz1b3R3hAy+6qHRdRqysZgPeRjoCHzFXQH/PtJQVIF8VMZZR/CeGvz14z4N 1ci1XHS+4gj4qIu2WmY0pOw6fpNa5Qgxqgo9V2uoyO7p0byfDdh6kRePC7Op KHo9qKin3RF+tC0q3A2hojdXqU8KRhxhXfKWruUJKlJ9c+CdOsEJSN76H6Ze UND5j5UTqyxO8HBAvnn2JgU1jekQn3A7gRDz4cHP5yhIkxCsu0/cCeb91V5Z n6agRC46n25ZJ+gXzFibl6SgVtHcy4lqTiCTJKLht5+C9AxbuhdMnUD51MYG 69w2Sne2Wyixx/bPBOrJDm6j7uB5dkd3JzCaGXNXad5GZjn7LT9EOUFcewL6 k7+NskrLI+IuOkGW/eMrWVe20UCt5i25dCfokdtp4o3dRrZj/sP3Cpygl/iq 6b3TNrqziNu2LnOCBchbGzfZRiP4W/ysL5ygNU7t73+a24if67hGc50TXGpz //ZCYRu5iL47E93qBLbvb/91O7aNipStEyR7nUDbvshj7uA2mjT482D6mxPo xF2JNsb022HnC613J5wgu/+Dd+pujI+CuX6ZzTlBeflUyB36bfQo4TEj45oT iNWZjVygYfowW0O8keYEEuHHFtU2yUii9ItBOJMzNAo04D+tkFFgrU+A+F5n +FTJ46GwQEYVXdSMH3zOoDLNEhL8B5tno1mVN484g3VvVsr5GTKSXTzabyjl DBb/DHc7/SSjCHzjCl7FGfj2NwXvniaj15wWXLVazvDI/fjB61NktHlkRiHI yBnOnPTKmcJsVeXztodtnMHR7LM+I7b/vMGemJEzznB4XKuF/IuMmpxK7173 xfw5iqc0/iYjXPDJBt1wZ/BLUjxoOk9GWgl9Y5TzznCoxfhg5TIZJWV77lSl OEOTeyjv2DoZtT4kC/led4bfG3qPhyhkxFB7TevgXWcY/qbgfZ+4jfS6Dnt8 LXaGd4VtK4os2HsYfXPpyjNnOP5QcPEOJ/YeFkzKNGucYSwuYKOdfxux4ac7 Nt45A8PGvhfvRLH3cISN1WPAGfahE/XcmH4eUCo+ceC7M5wqrTcM0cf0s4Gy ad+MM4yb72O9abONcoNIWWrbWLyzdVEnw7H3cHHj5QqdC2SvF2g1JGLvIfvq 10dsLrBz9mw8fTZW/5rXPNzCLvDH3F5u8RVW/05D1Y/HXeBl6HZ6ZgdW/9Fx xwQFFxipGtr17z+s3jiWe/N6LlBPyi9no6egSv0zR9qDXUD+6etJP1cK+m5U l296zgWIPX9purEUxGbGzTWc7AK1M84axNsUFGDzkfA31wW4H0gOcfVTkJi7 0vieVhfgIoYMuphSka1Xlm1erws4kFLP7mDfb4rvfO/hYRewPlfvGIB93z+D ixuVFlzA3y0rKH+Eih6cZ89z5jkD7AU5ld9Daaj/gt/eGeEzcE+3Ri8gl4Zw SW2XQ06cgRMnlG8Wvachl8ux0UlaZ8B2c6/pFOcO4rs1Y/044AwI/ri3m/h2 B+VUvuVYe3cGOLWjbvRk46Cl6kBa/MczoPY48kfbExysvIrcYRw8A38YHoy/ e48D84bjCwfmzkBMPE7u/iIOUqc/ehYxu0J5cMVBCQM8CHrFHPrJ7govDDx/ O7ni4fWM6Jg4tyswkKQ0TaLw8OtPgtXLg65wfszW0Pg+HnSWlbTb5V3hj6ef S+UKHkbDftKYVV3B/qxTxxA9AcL/ZdWZIldQSucSj+QhwIONeZlhfVd4FvzK /8dJAqjG5M0LmLrC2bMZ/+UaEaCfrPeYZOUK0grDIUVOBMDRioX+urhC4nyc aOA5Aty5YD4q7eEKV7peXDiURgAp/M7tSF9XWFUqu0TLIUB7YrllXZArkBqq ZClFBHChc2DfCXeFuXTNf3vLMX65xPhRO8YVRjXKH558TYBMxlcpafGuEChh UxX8lgCil0laPUmuQHHKYX/8gQCNzBy0PZddQT8xVHuylwBhnikxlAxX8Jwe ja7G+EbsHeXfryxXsNbNZioaJsDYgfCQ/tuusCCfwf1gjABZkb/n6vOx80+c 1qkdJ4Be3xnv0vuuYLok2jo+SQDqscHJ66WuMD0c535gmgBVl4xcYp+6wkhY XJAHZvuMNw97PncF5vf0A01TBBA8qWJt9gqLP0qB6xi2/8vNyj7VOuy+afIa ZT8w3lo6YnTkrSusWE6QlUYJoGGY/4G91RXe1j5I/v6NAP8e7tUmd7iCTkne vYLPBHiMu9w03eMKd8u0C6O7sXw57qh8+uwKD859dgpvIwDX68hXb765YvPX UyEL47sujr/SJaOusOuaMW24mgAX/EnlmROuYO6/xGT2lADy7UNHY365gvJA yV4ylv8/QqbF7nOucD+FDn3HeKAotk3QZMkV6pxWuInpBLAePHlXec0VDulI RgXHEeDdFbEbu3dcoVIGuk+SCBD1q5B1k+gGKfU35p9YEuC4JnfaJJMbiH+n DVzQIcCtdfyFmr1u8GFRPjb2MAEC3P4LcBN1A5kC56vF3/Eg3GA+a3jcDY5b eq6IdePh274Od0VpN0j8wf7P5g0etLqrHVhU3aCcvmh3bxYeeJQy9V4Zu0FQ 2b0+Zm08tLBqHt4V6QaifEeV4B4Oor1r7q3GYOcLbeyaTMeBZPMJvu/xbhD5 zd+wIAoHd84e2PsyzQ3cXYb9I0xwEDS5uuOU7wbWJbTVIzgcHKgt/e95ixvE 3DQ5Wj9GQ7osOAJ9pxvYXpDMknxDQ2Eu9mL2vW5wUOXiM9ebNNRFxxqJH3aD QCPHM5wYT8Sah7JZLLgBMah3l+AnKnpU0iVfuuoGwh/5Lq09x/TGhogjedMN Klx/qJZh/UeicLDsAZEEWv+Fmd53pKLRPyc1V3lI8CJI5CvfOgUxadz0Pi1I gj9VNrdXvlOQ/I2FjDwREpRNlOlUdFDQVaX7I9qSJNjJvnFhsJCCatPJuDty JLh97Faf9hUKmh6zPPpXmQSL7zgLb0dTkHoyQ0SONgn4aY/3rVpTkN+3M3dn 9UhQwfPnPfkUBd069uadmgkJdhkzr8wqUlBz3N6Z65Yk8FVdONsoRkELff67 f9qRQHv8qUA0HwUdONwmp+JCgp9T6gU87BSke1bQIcOdBH5fn5UVEikorOvs xQkfErgb9H7ftbWNCgX6SxWCSIDv+zlhv7iNukKO9VwOJ4HGbKpu5q9ttN6S tDoWTQITY5Rf+n0bCe8f45WNx+xvSz4Pvm0jEz9FSEkiAZ3wtHRC/zY613jN aySNBIZcZpFa3duolOP3VclMEthw2FX9/LCNPrtrvUzMJsFyoIWzX+s22nmd Nzx4hwQc4V5zn95vIwnmtZ1jhSS4QN79mfvdNrJzNhG9UEwCxwMN50++3UbJ z8uMvjwiwcebGQ6A2c+J+PCjFSSQJ18YFMHWj9o45Ma+JIHyJ02rn5g/picv 336qJcHZ+YyTydh58lTWXyJNJPhXGzC3g8XjaubFGt1CgrRP429tsXivFr+V 7e4gQUQpjvsKdp/adR57oV4SuNbnnMzF7jutH3Yh4gsJHnEnJiVg+eAo+Piw Y4gE7awPlLSxfKktHe7m/06C3swrN8cWtpGPdvxKyBQJRhLGR0w3t9H739KI d4EER6s6+mt3Y/VTS/cMXCXB/tevOp/xYvW7PnXl/SbmD4gSZ0WxeineGvIl usPUG1WZJC0KKry8SGtkcoeBHJEnLeYU1DWqd2QvmzvI+tWoDbhRkHDSdmgd jzuwGR2/7ppMQT/exJauCbjDvsz92gm3KCh/aXtEWsQdJhX/k/Z8TEH7XCja ZSfcocg2LDYEm9fMKlTuHC13SFf+V0TC9PmH4DiDT6fd4XvA+1J/LSpKLqXG Mxu7g1BggKIY9n3QOGkzF23d4e1/iUYvMqloeYH2JjDAHWxlWqgVVCqqOHJh 4VGoOwxr3sSEPw35Oe0IT0e5Q4nrS+6/yjQ03blzxSHBHV7T7q+ej6KhoRKc y+lb7rD77rNR3CYNvXMgEA69c4d5qmnvM0YcxN1IVHRqcwfCpa93+3lxoNpB 8L/d5Q5Xmq4psUngoFqBOLD7qzv83vq00WSGg0ccdKXk3+5gnc+xJ/QuDjxP J48oLLrDUnPql95yHAjH07GH/nOHmwH08nxvcZA/Rxc9Q3MH90bdLO8pHFxr pzcY4PQAQ9KXZIFjeDCiXopn5/WAqfQVXjiJByZ5hpcGgh5wK7PijoARHhLv M/C/F/MARtWVt/MBeEBDKWaUEx5wVPBNyufzeKCwMV5SkvMA/uHheJureIg6 z7jwTN0DgtjZTwk9wYPcy1Th31oe4CZ8w9KuFg9LvxltD+t5wDnpH4Jc7Xjw s2V6d9fCAyaiDcMoP/BwNDPt31dbD4hvV+Pl/4uH6VYm8T3OHrBctdX2cAMP LrK7slK9PUC860TOD1YCqGhZpPgEeMBcsPK5KW5sXlnkndMP9QA/9YOd5oIE WHCbDjoW5QEayvdTREUJ0Bl6wp0l1gOSjpHXnU8QoCQhyvbvBQ94KC738J8c AeJvvDXsSfaAbtUl1xkVAtjfZ4KKyx6weWREXw5h8+2Fufy1TA84kP2k86s2 Adjf3xULyfaA8ASZB92nsXnXN8VvfscDws7kT3EbEqBtXGKPbIEHcA7voVYa Y/NvKZKe8wGWP+pQRa4pAWJxb7dWSz2A2fOJwGczAtZXmBYGnnqA1+677+zM MT0sZD756rkHFOCHok5gNov03cFbrzzgy4/lUDNs/S801XW2zgOUhvYYN5tg 89NU4q3dWw9A8RL/kjCeyjsT+VKl1QMcj5g23tLH5mlwU9mBTg8wX6IZUU4R wPwCY/52jwfop1wufa1JAIlrZtdHP2P1FNoW7VAjAOO93OTGbx4Qo9Z1Vk6J AJMVk9GFox5g6ldUuC2N8VHT8cALEx4QeHpjVuQYxme9EW6uvzzgjvT+5Uph jJe+N1przmHxvjyaV3yAAMYLDAbCSx6QqmrJSNyL8RPNVIO4htVjOTHvMxMB CGy5stNbHlApV7K6bwcPtSeO85USPeGTx4T/nj94yFaPYE9l8gSuczlN/dh8 DzJuJPrs9oRWqrws3xc8iASa/hXf7wmNlu9Cz9ThIbM8vPHZMU8Q9mAMNErG g29Dw4tMKU8ozvjzYTUS49du+tJgeU945Tq2z8IbD1tztzNlNDzhRlTnvIE+ HjyON5x5Ze4JZGLc415mPOwRNy5pvecJSSFs+g5MOCDJxGizP/SEokrnitWF HVSt8nDS/okn8C54tV7v2UE2BlShxWpPcPrPIpZwdQfl+z8r4O3yBBqVyzSe bQcthA+reXzyhMcOOBW/JRpC5+lHKwY8gRKb/e7nZxqavOp8QOeHJ/iGLe8p xPSBWMXu20H/PMF+dvBxkiQNnXutovhmyxM48wSXXbhp6GOT51fijicwvOc2 naFQUdCnRs7cXV5g//yq/a5eKnr37XfVFJsXhHd4pJfVUNGecW4LSS4vSO14 OL19n4qqlwKvtwh6wfLfYM7eaCpi2MqVYjvsBWkMv4imnpjewbf32ol7QWtN nNNVCyoi7xHcvSDnBQbeZd9BioqMDhiUK6t4wecrjLvqBKmoQDjKMEnDC6zn +ItX2agI5Hov8+h7QfZT9pknyxSUdZIs5m7iBVt5xHrxaQqa0hbteGbpBad2 qxj4f8N4xMjCe9POC3ZdJG8Ef6SgFKt4Bm0XL5CRnGJQfkdBQ05PHma4e8Hu U4UvWl5RkLjnoM6QjxfUEkYFOMsp6FwgYVo4yAuIbFVuosUU1B0pmRQY7gXi rLmXqHcpSDDeQbg22gs8u7bj72RTUHBKyntCvBckXPXX2LhKQe8yq1yNk7xg vSuhgDeVgvbe/r5zO80LzhgEhe4kUJDHPeZ7kxleoD4rnfwojoJelSlqnMj2 gocz9Flc5yiI4Tlp7OwdL6g0TjLRPktBdrWZ55sLsHjGeVzkIynoybs6vt3F XhCte8F9JpyCtjt+1dk+8oK881ZLjpht1L/X4cEzL/jK8PPaDcwuHNbY+lvl Bc/uZbSlRlDQ0oTfHaVaL1gNzmDUiKIgzT+3lBIbveDj8k7bS4zHslaaB7ub vaClWd51FtO30+SFyP0dXtCfqyT33wUKUiTycZN6vACf35VxBZuvqSynq8s/ Y/kRcHi5eRnLL2e45cY3LxC6Zzt26DoFHeO/t6I55gWJTFVyDJg+jj388cbV SaxeS5SREowPuyU2pL/NeMEnzS9TlFIsn+qmwQErXqCi2H/o6xtMbwvq9Dpt eIHwI73suy0UZIJTOWFM8YLR/ENj1B4KkmgRnjvB4A1ZxQF/crH3kF+y30CQ xRsSJfKT+5YoiCWF9TEbhzdwhx+9X0SloD96616LvN7QWRntwsRLRfbH5tp+ CGLrW+stCo5SUQfL+OE+EW8wNbMLalekorLezsnnJ7yBuYNzudeGijysClzC NL3B+bwP8+UCjJ8xlUPSxdariz25hvG09v5UfktDzP/Tr6/4WqlIeCRkRM7a G56YElvq/lLRjzM6Nms+3lAvUn2nW5uGHPznjKOve8PTQsHoKww7qNNovNzn pjf80k/IThfaQcqSX1ns73pD6Pua+8OqO2j/clOnSok3jDmspFqF7KCBqKxT 2zXeoMblEH/i+w4yTVRRj//hDdceGNwTdcVBk7tkftC0NxCk/7VbB2H645TI tstvb1h7nzsaex4HrEy736BVb7h7v9q34A4OujLG5fGMPtAmtCXV/gkHKsFf s5dZfMD2uWOq+hjGE2ZdKxMcPuCvc1v3yh8cpHJWP28+4APz4lE9d+iw/pib KpEs6QOJn4QTCYp4OBZ+RvG7nA+071doe6KFBw5jJVBW8QGlbhbRLRNM/+Nm LP9q+4AA4cfrMC88NI80Oevq+wBTDIdddigeHlXf8i4y8YH64x7EUxg/RPjo xlrZ+4B58HzB6et4cNASvFTh4gMaKb7013LxAPzrmUwePoCfCQixeoAH0fWe OyRfH4iu+HAtG+ML1r6HDxqCfGDZ18pMrwoPK4/jyvdF+MBQ+eK3IEzfDSVZ vw6J8QHXn7qZxHd4aHI+8a4r3gc+7R49SMT4o0SJvutwsg/cCn4e7/cRD+l7 xr7EX/aBFmm/ecU+PITMVY8NZfrAqZXz654DeLBpuzojm+MDLqLlF9e+4UHt nsfy1Vwf+PArqW5qBNObMWrbvwoxf00+ylJjGE9ZctFrlvjA6fmowUFsXi1I /GXLe+wD/65EfR/GeGeAoZVnrQLz92rPuNI4HurG84RNq7H7upR8X8L+L6oL l3j8xgd85/qF6DE7JcdQkfjWB1iHi9wjMf8BQSLg3IrV13GuROs/PFjobevX dPqAu9cN26AhPCgLf7Hc88kH7jXEniBj8QtSnjj7D/hA/kkDvVnsfnSDid5t wz6g7XCS8SSmj/9UOoQe/OEDqe0t0mtYfvouy8bGTPtAZo7pB973eHjtznzp y28snz03xcux+ZqvPpl5YtEHniRuLla+xHhxf92d1H9YvGKXCOLlePBZvvFg YssH0rS7L/CV4EH+oebrm3S+8KEvJDge09sHLvC+W9zlC5Tb7GqbaXjA2S93 6rP7Qj6PjDAtHg/drPfHqLy+MOv5qqfZF5vHETh6LylfaFeKtmpXxYOByRDb O3lfoPVwkBQl8SAt9pzngKovsNANKrocwvj0vzMSvTq+cJjrwtocAx5ytN9a Kjr4ggGpsb8A+x5a98Y/YLjkC7/OHqTb54SDk33n606n+0I0l9PEgDEOqjJi P6dd8wXV96M6hQgH95hiCCx3feG5pMZVVxEcnKOFk9grfaGuKG2ae2gHLdeH nTOr9oU0nHTu7sYd5BMTmnXjDXafaw83LB5gPPAvqJmz1RfcbBY/jwXuIJk/ vsI8w75gpZ/0InXXDnpU5qNq/90XRhVeyycu05Cgp7fF3SlfMBeUPboyTEOs 4x6J/Au+IK7+X6lmOQ3Nfj0zKUT0g2gpFv4dGxo6k+1CdmPyg7sGUikMWD8a NHPeW7zbD7RV9MfypWio5aOD1hEeP+gVZnt9gZmGCt9bPxA/4QeMD6yTbD5Q EfcFqzo/WT9gj/NXZq+loqtqlp+fKvnB8sbtas/HVBRTY0aQ1PID95Ov/1vK oKKlCNMDwaf9QIgn8O3RBCrykjWRfW7kBz1/szpxkVRk9cyQJGvrB2HpjZX5 LlT00c/gXLiTH/gHkddcrahIS0w/q9rND9pE/mp3GVBR7c/TT9a8/IBYZLd/ WJOKpIp1mxUD/CDk+dvpDBUqKnU9NXI21A9cYy7hfstQEb+gzkptlB8clH5e 8wfTd9n/aTGTY/1gvPqvZvZhKmLO1RQ+meAH1Yi1ZRLjkQQbUD2f4geyivdt h7F5scmJLBqv+MFNzzL8WW6Ml/rV/WjX/UCmsLGhfg8V/cxUS0S3/CC9xD+s DOMXJ6OTdy/m+UHGBo2swkpFn3epVr0v8gMuz5di4cxUpP9BuYtQ6gc+K/+9 stiF8Vay0qT2Uz/YoztqM8RERUpaiuTk534QEbleScT+r9iR39v+yg90lNOt BjD7SKPcMcZ6PyCUXfysz0JF+edktfTe+cGaQlKR+24q4lSWcbjchsWfXSl5 iIOK0tekwrq6/KD+ws2xBE4qwr2UTGfp84Nm9dDt5P1UdDbkxAOjr37wqpSz X5yfilgZ12LkRvzAxKZ+i/0QFRUVNJgf+OEHerEL5xNEqUhBPlkcP+0HiZu7 78dJUFFXlyF+dtYPvEz/3SHKUZGLG+dw7zy2n+NGzl5VKlrdGHn+asUP/hp8 fvEYqxf/ET/XJIofaFbcTg3A+PBFvYyyH94f1vgk1W5h+lrXYovdnMEfVO9d pNfBeDL4QtpbQQ5/4Pa2lDt6joro9pndpuf2h5/iRF6HS1R0p3x/8F9efzCV uMjPeoOKmodLBetE/KF9te79DPYebUKC1ovE/MGS6uDKhvHsHINib+oJf2id 32auwOY1l3xbnLUStt+N8sJ8goq8M6dGlwz8Ab8r1HvtIA1RDj+t/mbqDwNO x7SeS9PQ9fqwq01W2P5YX7EBTRqqm8WrXXXxB3Vh3VBjT+z70xbKOxrmD0f5 Kffrn9NQ0fBMGNtZfxAL/pIU2UpDCiGVBmux/jB8MFcqcYiGXAo0yM2X/IHx 7IxjCn4HvdhwsnfJ9YdfDcF7B22wflCeu//mO38g1/zwSaTHwZyW22Jsmz9o 5Jm+YtmDg4vDYh9IXf6w30HBJJ8fB48ZaqOkB/yBi4fjRYccDiiug18/zvhD 34vV2h03HNzn5swhsAfAWw79Lf16HJSXNO6z5AqAZD09od52HNTK+eQW8wYA w0Jb9aHPOOg1byzUORwA73Vn74rO4mBk3PvQTfEA4PlJef5pBQc/g/eW/JQM AJkazwYlKnZehvfjFJUAICiXJcnvwQOjwF6JbxoBUB3odOr9ATzsLW+oOKoT AD/ncLxUETym0/dUd5gEwMbfnP/CFLD+b9+gyGsVABESKjEP1bH5Puv1xtc+ ALwD2TOjT2HzlaGhidkjAJ7FXelcscQD6aaXpqNvAMw+KCvLdsBD4OE9rU+D AkCXxOfb4YqH6Jf1upTwAKA91DLKxHgjWcur0ygmABqNJJom/fFwrZ/DqCA+ ANJUU5xaQvBw17W+dz4pAMRefqKcwPRf6aKnucZlbH8u4bFQDB5exHMMZGYG gBSLUF4uxicNu+ttfmQHwAlHvN7tC3joyPcclsoNABt7D1eeRDx8Oc7hdLEw ALLpxfv4MH35va7ue19xALwsFmspuoTNU31Pt0OPA0AwKqCkNAUPa0Ps06EV AbDJNMd1IhWbdz51Xs0vAyDxmsqmHGazbnj83vsmAEzUDoXXY+t5UtgD3JsC gLTH9E8L5k+Eu27hZUsA/OHPwplg50mWeITSdQbA/M+ruQ5YPKpy7P+serH8 NAr3/8HiPdX8JurhlwAIER/b2cHuY2busbU2FACjqvfq8rD7Oo2zndf9HgC+ JvDlLZYP7+A3tFtTASC3qWsahPFaGM09YWY2AI7FNQc/DsBDfAYbnfJCAGjx 5JSEY3r5Mv+blLTVAKjZ3X7tkxs2X5+67xreDAC8oi7hnSPGL6psV8VpATBg 0E85bY2Hp521bOeIgXB8fbHYD+PF5pndXHxsgXD0gNuZDISHnqjaW/6cgSBz yetcjhLGb/TuvA08gaDLn2+gI4WHRZFaQWeRQFjSd7R9JoAHfleS+D3lQLjM oVLEtYEDsUXW8kX1QBi7Xy/Q9xcHcvE1kqAdCBwh34qsJnFgkM8qP2EcCA/3 qWd2duPg7NBrDRH3QDjrIuo9dA8HRXAsgdcnEH5c4ujhvonx86OCFvbAQOjc St5E6Tjgj0nWo0QFQuVJ4WTvCBy847Ww+JoeCHGFN1sd9HDA7DjvmVoVCErk vRXPJ3eQXIvro7iaQGhwmP6Q3rODnI4P/AlvCIR6JbT7du0OqtyuC3ZtDwRW 7T/HbK/tIKv8tBiVkUAQ4Bbl/Yl2UBwdpV7qRyCM+t3+9U5iB5UGBNOOTAfC +4M1ivO8O2hLzSZp7wKWj7g/H7XXsHk+JpIxhw+COP8JC2WsP304dfvTBEMQ sJtPv569R0NLz5j3DrEEwTtzH66dazSkHb98q5U7CCR50WGvUBoK+OUxXHcg CM6dut5YR6KhWyZDfC8OBkGTv+rxOCuMNwTfFhWIB4GcoZ2chQoN7UmVncqW DIKko7if3hI0pLr48Ei6XBBsH/17bxnrr1ffXn0SpR4ESq/um3kx0dCro7j5 AK0gKLCqempJpaLv18Kl3E8HQXUid+ebFSqScXWoNjUPgkv5mSf/facih46e 9VM2QSD+/olO11cqSpbWVFFzDIKXCio5/D1U9OxOdaysaxA8Gpr4PIf1+0Gc WJOYZxCcPRVepNxIRTs+ebiDfkFw4cjiDeJrKhLrZ9PmDg4Cg+fpAsaVVGSu kniJJSIIrmLUzY3Nk3P31z7gY4Kw/uT9xrmYiop3+TJvxmH3e3k58kghFXWH jhotJAbBp2+ukoG5VLQ+bHptOjUIKm6N8yjcpKKDWi39I1eDYL8rl1UcNq/0 nihy9d8IAuPKn5RTmVQUtveJzYdbQXBck0Pg2hUqyjsnkNuYh8Vr21hud5mK Wiev//eyKAhC/i3ef5BKRfGSxyVuPAyCz06Tr0NTqEj5XNv5oCdB4H2x/U89 Nh9X2s70GFYGwaAjbk8CZpfvIQuIVwcBukQ3+w6zvZxzghjeBMHN4gyRWGy/ 0GPJt1ONQTCfGB1Rifkf+dfB/r45CC4Wz0U6Y+fngLtr4Ycg6Jn8+CYZi8/k KvV5bHcQzOXZ9R7G4mcauo237w+CqGMnjqv/fx6LyFooDgYB+fQg6smhovPB 3Q84/wuCskiVswN3qEix3mt16Qf2HrzjD1tg+nqJAa/TO43Fz9uUfeoBFT2x yMt5+jsICN1HWCrKMD1eqPAzbSEIdARma9KfUZHgn08KXqtBMBC3827kJRUN KfilaG8Ggd+x2VMFdVRk1FN4lIYPhnKemM+RnVTEwKsS/R9DMDiv7uu73I/x l8eXjlqWYCi86HqQdYSK5CmMfuHcwfCHzplmg+n3hdMP6swOBINllwu9wDoV PcpWY5E8GAzTJTRLIxwN8R8PLZ8VC4Yv3Hu4JrhpiM5hZMFZLRj2KThr15yi oaaHEeikZjB0St9Rzregoehltus8usFwg7hfZewMDf1N05b5YhoM0cwHYvxj aWigpjxczz0YBLiqK8+/pqES7gubsulY/DuqHgaqOxhf8epzXAuGf26hHV8N dxDPs5e589nBoLQe8zjbeQdd1ZlVfVQQDOJGE0q5CTsoItw8TuBFMPxHNeXx +biDdPpFCExDwXCv6uhjaxkcRHLfp5qMBUNag+lA7kkclNoLbt2cxOLnEqz4 egoHjJM8SyLzwaD4li9SzAEHnlsMiwfxITBFkquaTsBBfF5bQAsxBNosdGnX r+DglnryHy+GECAnBxrxY/2xPQH/6xlLCHi7pxq2lGH9l5kyenJfCLhl7/9G 7sIBlP+vguuOp+r/w8eokDISJVRIVArJjPNWkiIZFbIpWXH3vteWllGUWRpK NFRIqm9E0pIoaRBRqWhKEvf+3r8/n9c593Pe6/N+nqdeVbf97RwKtOp02q3v IMDHjduVNI8Cx6cFN/i+JmDvodGO+wsoMG+sbfvdzwScNK/22K1HAd6rsxfm oP6o66Q/UTagQIz8nuMGfwn4rPnjgfdSCgjmJJzdhX5O+tYl53/GFHDYd74g V1EK5gXFNh8zoYAK03yIrop6Q8rYcc1KCjTQnFyIOVLgeupLw/tVFEjN25lq hfyxY105udeKAvcbHuzR1JUCwceIW8tsKSBaZRhw2gD5bO9i2zY7CuT/fGTx bIkUXFj6oZYOFPjzTj+8DP1m8+PTFhprKfB6kAibb4b8HxdWVbeOAnt2Vjy2 RL0zqqJrFuiM3986HPsd+WxmVe8lKRcK6I84rnBG/2qw7bhx6SYKDLkeNrVf LQXkWECFszsFDBPJi09RH/kUaBkNeVLgwyPb+dLIj5TVr89kbkV8+8LsJ4jT e/L1V/rg99a6B1kB8m2Cz8nO7RSwHWYN2SGu1dVYwAugwJmcstdv8f2nTc+L tYMp4NY4JtJB/Dk8Z15DKAWKQhvWjeP3pOW98nfspEBJTOlbOsajWaGiIRdB gfk3J5UPYLxmm9pyKqIoIG6y7Vlrhf77W4bq5t0USF7H3lGE+YZlb8r6GYfz svXUyBGsh2Cl4swjNApQ7VtkViF/5zx/sN+aSQGdH9+MOEul4Dx7r3w3mwIK P9KWhy6Wgqa5znsSeBSY7fpueAT78TvgbtK9eJwf13VDWnOxfkQKEZ1EgWH/ C0drZmH9Tq4RzUylwKIDNq+kZqJ+/HCbu3UfBTqX7bS/JoX5x9ZR+nMocKdh 0OTTewKChAGtvkcpcHE4dG93DwFTDxDL2vIp8Gla16uSFwRsPef08eYxClxa xws/1kLAz/72gCNlFNDbUh53s4yAZb5fNm64SQH7lorRpjACOnZllN3+jwLV sla9r/D+8FimUy0aKPA0eMr2QQ8C7h9mN+g24/weFaf8IgkIb5WxmnhCgR02 G72mo54vWau16FI/BarUZY/an5eQ6z1vJy36QAGZO+vZUYUS8mtwaG/hINZz 9x6Te/skpJ2orDB9mAKHhtdoLYiSkK9qzVVD/1CglhXx4NRSCZl470Vc118K LGWeDKrQkpCGnbzHbhMUmKp1+eH4DAnJ/lWfbitFhZeMAxd4P8Sk2vJNErXp VJg9J/Oj7U0xeWP1d//9M6jw4ut1o/pLYjLU5XCdlDIVnj+q6S46JSYvR7xk flWjwmR6qHr4ATHpwxZ07NCgwt7uN9VbE8UkkTbf9PVcKpwp9v1wiiUm3U7t HLqnQ4UEtpRLCOqJ0ctyG+0XUkE3MXa43UdMFtdXnK3So0K8yy25ss24L7t/ hJ4wpMJjm+RbCfZi8vBQTr3GUiqErvllnmaB+uKfpU6GMcbTFdf3c7mY3DtH 9JJnRoVeV6/nsgtRv5w6pGiwigrhhiEKhpr4/eVnyaeWVPhMl664N0tMml6/ QRPYYDzrmyIGZmD+jm2li+2o8OlNaqsI9clo60BXO0mFcemBrUdlxORL37/T RWuosCcxnb5cMkneHJhBGq3D3zeYsR3/TZLH4nRpz9ZTIWhObMnLP5NkwrhF afxGKmjLdRl9HZkkw1JdupZsosI0jydLklDfOCkHT+/cTIVrqqMVud9RjxQy 7BM9sf7vH1cafpskFQz2UpdtpcLZ5waatl8nyeHK4tMvvKlAfRdw49HwJNlm e+VF0nYqZG6rDO1GfKW5WWF5ABU0O+VvxuD7OR6v7V4GUeFR6upwHp7HfvON khJKhbzEGf+m/EA9tUv29IqdVPBJsP4589ckufrnnBevdlHh5+G1NTm/Ub8I jRXSoqjwqy/r/JGxSVJabo2d6W4qUObaz1GbmCQHDm2jvImjwowLMisUkR/v aUef2kOjQrGXx0KRrJgsL4vvNGNS4VQWfSJCHvXfyhz5HjYVAhdO3n44U0zG /Ve2ei+PCieJWeGlamLSc8OtOHMhFer0U5tGsF/mz56efBtPhZqBqpO12E+N oA/P9yVR4X0y6843QzH5hqG0um8PFRwcziy+YoX8K9GLO7AP8zt4M8EG/fqJ fVYnLQ9S4d3vuiUmG8VkeEmIXMYhKlw1/nHWP0BMbljKsrXOxfmX3TKQuUtM LqvZFztwlApPVphbGdHE5I+HV5/ZFFPBUCVIKy0d+Xpby7QPx6kAFVJb1uWI yZq+NzbZJ6lg0dihHloiJgV/ppz4eBbjdfVPK78uJqfq+ezOuUKFL1t1qpZ/ R718IaaErKbCUMIa60NiMfnQKrHj8zWs77Ete+zwPma5lVs73KLC63+igUC8 v/N4E1O+3qPCSFn88914v02elhxb300FDQupx7TvEvL14xafD2//P295i8sI AtIefFdNfUeFP5rFKfPkCXjTCHvufKRCwRn+ymmaBKTX9MbZ/aTCoelC6hXk /5VX5Za8GaGC/9lnkVMdCei5ZDLA+4P3L96I7epKgPm5BJ/aCSqofp9mUOpP QG/hAoeV02jQePu4v6OAgP15zv+eytPgi9SBxoFkAixyKdUURRq0LKi9Hob6 4EBGvdFFFRpMNvad/pVPgOX+wX5XNRoo+yx7Likh4N0e5WNf1GnwbZIl24d6 wSoxWNVIiwaPejeaza0moF+Y/uieDr7/dl1Z9A0CMniVaeELaZCUcVdnXwMB A3Ti3ykDGjSUGu7RfUxAJsWweo0RDZz0x8Pz2gmw2e0e17eUBitKhua04z7P Ci/p1zGlwf2DizP39hFgG9ZSfGslDeh+tu0yHwj4EPTd29+CBguPbxu0Qf2R 7T9H9Z8VDbYbXHE3/krAal94lG9LgwPj/zJf/iDg49aINCt7GgQ/lfe2/03A Ic8seAE06H/6Mnb7GAF2m2vHmWtpsEz449yyfwQMuvRWqTnh80vvlaomCTjs LBd31ZkG7bwVdd8kBNivMzHydKGBD0W+swf56pODT//3TTRwHXS6kyCDfGmf UJzpToN/6f2fn8miPrAt817uRQODi6mDr6Ygf1u2qTzeSoOlN52iDqEeyjUf exjtQ4P56/rW/EMMpgvSFPxokCvjFjF7mhR8MXaGcwE0cHkd/aEXnx9ZQhlf H4z57ZsYC0DssDiv6kMoDaLoUp8O4PlDevWxqTtpUHz41PJY/P7RBYOG+hE0 ULi+wFsa41ujrdx/J4oGKhc61DZi/MNzrYpDdtMg07HL0gnzy1MP9iYoNNgw sO3snwkC1s5KVzlOQ8y3YgSNE/BVqfKhHZMGmz5H3hShf89X7Ep9w6ZB/Kf5 LdtGCHDEmebzaKCWQ/06+J2Ab1MMx+cKacjn4WcthgkokHavqo2nwZkpTokO nwj4/u+44WgKDWYM1zrk9hKwZOf5O7v20OD9eofD5m8I2NFa6/9yLw2u/NVs OY7z0VXyNOtmBg1+mFXb9eI81a+T+ZuUR4Ne8Z9Jq1oCxi8qHR4poIHOmYL9 4VfwfszRMg4vpsHD93Iju88TUPbZPGTDSRpM+Y83ooLznZkZfl/pPA0U16eZ vE8loGWMFpZ4Eftz49czjXgCpEPjJ39W0iAfNv5dySGAZZ5n2llNg8vWAZUm UQQEvryfX3SbBoJN4nHaJgKW6xlHGXXQIOh867p7qgREHLCWLXyO83tj+U/O dNTLv9cdU+yigTAyasxUlgD1lsD2b29o4PCn3y7xi4QUx2TZ1HygwVezzNlj VySkVWfRs8WfaBAdWDzdqFRC0shzsflfaLA42etHwlEJ+UHlzknBdxqMxHmt qxRIyMc1vxTWjmO8tYsDvDZIyKkLiNKqCcxvumKrtJ2EhL2KpIGEBhsLKXuG TCRkld8iurwsHU5nVP9lzZWQRYT36ycz6DC9M0GxeFhMdkaGMR2U6XDp1N2t W/rFpHJHnNJVVTroNtv6bHkpJlNK09ce0aDD/ntzAs2bkc831lX4L6QDVf/L kXzUH30rrObJ6NNBfbu9lHqhmNw2u2bfOQM6HP/S3/DrkJh06L0cObqUDiky +TJdybiv7654WbScDtkPZp3vFeC+r7jgvNaUDt8yVk3bjPpEnXVucZYFHdhX 1xkER4nJ/X6Lj1pY02GEVRYvuxP1jEPp1G5bOsTtb85WCRaTLAM9VrI9HRZ2 1Hzb4ycmv0w/8d7IgQ4xV2cZRHiLyeAfOlvb1tKhveN3wRUvzLezqInlRIcX f1LP7HIXky43Nc21N9Ah69ncY3s2icn6E3mnGl3o4DNsWaPqIiZX7VGfFeVG hxufLs6U34B8GpOTpOxBh/v/FjRHrReTCzxVf9Z40UFO5lmfpZOYzLXMCgnY Rof43YddKOhHFbRnPpXxpUP/+7tfZiFOkD4A5X50iC5NzddF/PujfKV7IB0O x7UrFCGOerxn/p9gOtRVG/yMx/PeXpmSWRxGh44stbHH+L0tecniteF0mMpZ dSIV43kglIr9HEGH7rbQqDMYLxkW350Vjf34duLhCjcxWeU86WoZS4fvxzI0 F3qIySXL+Te7KXTIVXU/xt0iJo/P+rs0hU6Hmzr6RVao/9T+sgqXsOigotpv G+CPeq5nROEphw7Lwh5kfMB6ixtpPDafDhXK80o7sB+Mc98/aYvo8OfDAEcv Wkx+yoj1bUqgA4eMef+MIiYDGUMtUcl0UEu63fgB+/vMN8pKJY0Ooa6Xe7yF qBf0wzUC99Nh1styP8/9YnKlwkCabAYdSHnx7y6cn7JvIaPlWXSItRdoXS9A /VkX8PxPLh1k1RSOx1eIyQj3rYezS+iwSqY5bqRNTHav6pC2OoXz0J/Wqv4a 9cw8D1pPKR1kbM59T34vJu0+uHosraDDV628qlX/xKSqwFHpbjUdwhI1R6qM JOStsyv3jz2gw7/zZz62ZUnIO39zX1Ef0yHA9O7c1GIJ2ewyZvTlCR2SjxLa W8olZOu3my3dz+jgHHO32LJJQvZYOk1t7MF+fD6l0jQmIYkWn8SDP+mg9CJs owH6f1nNG21Tf9OhzUNkXWpJgFyM9oKEP3RQDjGYPteeABXld//RJuiw8sD8 qq6NBOj6RE94T2WA45yTN/eivzEof+zyVI4BW9O+hiVG4j6dWFG4cToDxrKz a4PjUE+UjFjbKTNg88abP57wcF8PCtm6mgwgim+vcMwiwNmmt7lQiwGpS3Qf ueYS4Hpgjfrs+QxY/7W51KQA/ZbJtOpp+gyYO396RMopArYnRcomGjAg5p3P wR+oDwKfPfQaN2SAw6m3sea4b8M5WT+HjBlANer1tagiIOrBT4dwEwb0izvH f14jIFZra/ZbMwaEXNu2JwH1Ay32Wq/PKgZ4nlo23P0f7tv6uSbtlgxY4/Zg scId9GuqgngXGwbYFRqQsncJEO3oaW1azQD1nbc3P7xHQFIN6NiTDFCcdBQF PiBgj9yp3dccML/mOfK3HqHe2T7llokjA2a5+Fl8aEW9cX6XYrkTA6Y1moW9 bCMgR3zfT28DA97uqJ/MRX2S576sosiFAQue7Eic94yAopMZ47PdGBC+0Tk1 8jn6wZHvGzLdGUBeyTob30nAaSevfDkvBkSqfz0ZgHxVllc9mLiVAd/7zUCm i4DznzWs/nkzwC+g35eCuHI1bw9jOwMMThwZOI24KuNN57A/A9KlnbpLEF/v tTfYFcSA/cHVQTsQ/2d2gtkbwoCp+x5kf8Pz76TI3PXdwYDLIXmVaxA3d+5U 6wjHfjx/PyMQ43lg2BLmGskA03UPpq7BeI8M2dlcj2aATE3shtEOAsIqryob xDIgeBEDWJivCcPo4yEKA/pmVgrvYD0mLI/fktAYYFKTeuI11uv+P7WcGCYD nOO+eN/Beh65vS/qJZsBpQ+bdrCx3ivWszSuCnDemt7f2oz9mVAYGp4fzwBx tfczBvavpTWk6UAiA3h2Kx9G3yYgdNsmangaA+7mR6R0IH8v12xc35GOvz9q xHJCffmv20oH9jNgeMONc5mXsT879R/OzWKAysTNy+fOERBsVHAi7RADuIcZ isJSAoyHlTi/chjQaO1es/QE1oPxT/9xPgPOtkqFLMgj4G9yuyjhFAM0/zYU ZqTgvJ5MMPtYwwArhTljD3zwvoSPym25zoC8I0/XSXkR8Mco5m39DQbQhxeU LUF+z7rsfaCgngGLWzY88ncgoLF++YdNDxiQnz34I8KIAMO3b/KruhkwEDTR +eSnhBw56UlZ2MuA3nNNc6Q+SsiG8BanjHcMuLfNYZ7Tawm5/evVX7s+MsC+ 77/Ns3E/HJjct2neDwbsYs28pYD8/mOetVSSLBOOOceyzB0l5Jjfggt605hg cM3buNca90fRNN+78kx4mChv82CFhFTW6qyUU2JCjdZq0xAtCTnH/5Z/uQoT 3C9796jMkpALik7LuaoxYUPwax85BfQrWvTgzLlMaND0iH08Jiat/Lcrmmox Ief0RZ3j6IegyKG2XYcJRzenvLs5KCbdtZSV1fWZsG+H1Pc+5H8f/z83rhkw oS59svFLO/JpUc8uXyMmBKg3lzo9EpMUrQu3i5Yz4fzcg12/botJjn9OtL0p E47T01Sd65DvivgavSuZ4PWfkc2PKjGZ/ia0MdGCCa+fv9H8fklMZmltjNOz ZsIy69Gd63Cf5/mbzrtry4SM/Mz7P86IyZKiOffC7fG8/nsvf59EPngjock5 MOHw0ih1z+NislLro075WiYcWHzq39QiMVnr3/rAxYkJzm9eDarlI58XVbOG nZmw622PseCImGx5U6Sb6cKEQdELdTv0j21aKa0mbkz4UL2hzRv5pss/mtfu zgTHZVWsR1lisrfI04DhxYQIeXWDwkz0j2+s22dvY0K6kP++MUNMftNaKLrm wwSpqWuLnRCP+sst8fVjwozwwJV6iMVF356PB2B92dw9voindncmFgUzoeXm 762fEM/U/s/YPowJFTqOm9vxfPWA0pdvdzLhr8BOTy1bTOoUH0hNjGBC/Hzz qIsYn0E33VQvmgkWTW3HSzD+5dp+3U27mVBcZGP/GfOzCFizN5zChFWBB+v2 Yf72xUar5OhMWA+RuxKxPk7dyn3nmEw4dE5672Osn5v22AEXDhPWvdAPi0U9 ty3grdUwjwnDKmWLws7+/+/LmwcyhEyo/XX5XTn2J1Y7d3V7EhOMZ9WkrKhG /RUgGKSnMkG/oMw7CvstKg7LmZ3OhJ2rzSb+Pw8Z2mZDPgfx/a5zct8eiskj AXPzxjOZYDMxrSsA5+lYMeFYdIgJNP3S7eo4bxe1nxS+PcoERgn9QeBH1IsB NesTC5gQd7qj8MtX1AvFxb90i5kQWCg//eaomGzVjnEJP8mESoOs8QXTJOSw tvy/ofNM4Ppx/9xbIiFTHjxLC7nEhItgpFu4UkJqsktUOy8z4eXuJ7OLVktI 5zbLJbdr8Pn6+doLNkvI00nhvtn1TMg9yrs2wZSQfh8br616xgSFnP42h/sS 8ufhzLXlnVjPYYrMlGcSMh38nui8ZMIA7fiJZz0Ssib/54dpPUzot9gSkzki IVVdF6q/+siEVH1leQ1l3K+VIoboH74/nFf3yQb3W8BG4tck1ms3LV0DCBiV Vz+wi2CBhXuFsuU6AvTDLpxyn8IClwc2ak6bCUiY/aZdV4kF5sc9G+NDCdC4 czbwqAoL/C7ammvsIuBiLP3zdDUWXIjsMjwSTcCbewrSv+ewwPLw6bZ1DPT/ PGvTe7os0KIoslxwP7YaTLllu4gFq4uOBor3oB/raHOuXMyCfYlRzZn70U8v iwjOX8aC2v5G1Y2HCDB6uXJoxgoW7uWEuVTUD/WpEnaSKQsGZr3soOH+/dpz JDPaggVR8pvVZI4RkLo/dF6vFQsqfshOzUI/pmW1/OwWWxZ8O/Fg78hJAq4O /DW7b8cCpQUhf1bgft+Yffc/O2BBRJ97mQPqjT677I1X1rCg7vKy6UbIB5zP /p0G61iw/JLMsfflBMw8ahhauJ4FU3N29LJQj5SuHRlW2siC7F+hu95cwPdj TDdfd2VBT8OP5csv4fm5sZWhm1lg/fbITZdKjOe/ChVFTxY0DI/cNEf++fph kFa9hQX0Mrnvg4jrlQyeBXqzQP3HQ8MI9JuHrMJWyW1nQarxDrcriHeElBy5 7M+C/3LP+t5DbLGv+8/2IBYoX2cHnEUsd1XTVzaUBXce0FieiF+99q67sIMF 3F0Bb1vw/POyufO8d7FgqESjWwFxvHG7gIhigQHPsXUOxue5TannXAz2U2np /F8XcR7iXUmvOBasKFngVYD5jZ7dWzJBZcGTko//ZmL+LW3NUmcYLNgv/l7v gfUp+CsTtpnNgrWpr0LCygiI0XVoGuPi+z9elzieIcDeRbTopIAFjSW2PqOo 91QYN9Jc4lkQu4/C4iK/DhSNfRxJZEExT+ZHK/az5u6qDcdSWGC2btmzP4Wo DzUqp//Yy4L3V9dZt+A8LIPhmIIDLLjsqqdGw3kRRyxpXZvJgpJYuykjGQSc qjuddSSHBUfq4nam4rwNBeTPXn0c+xW54rUsG/VPWifr/QmMf9nsl7k05ONL s7oyTrPAMGjAQyGWgFVSGQV951gANdf+nNqB+vB00vw9VSzYZbDrTbM7AUpf oo3a77OgVTDnoqUBAe9mndvHf8SCsCvjhQ0LUH+t/vBF/wkLjq3Y8sx5HgE+ GcEX2c9Y8GeoOmIr3s8S060rtd+yYPcMh1N6vyWkGcfeLmKEBZP/RZhWnpCQ h2cEiwZGWaCp8C6Tlvd//k+8HfwX50nW7sK2TLz/j5scfMUscKLsStovlJC2 ei5OG+XYYBejotrlh/67NmZPswIbplTQ3F56SUjxpoyWNTPYENT355i8q4Ss 5zzdaKvKhjnnJUaTuJ8cW703L9Nig4/w67UtCyVkaRg3q0yHDf8dWnv7lyb6 /78FT/UXsiH//oqXD9UkZItej5e2ARv6NertlspLSKPrkpx8QzY8/jorukpG Qu5zW9g5eykbnDimu3hiMbmJu8NnpgkbblZ0TK0fwf07My1/nxkbtOrKFzig PlA+ffbV1FVs0DusIiU9JCap1vfnJVuywcZzB8igXmhv/ewvscbvZ0RS1w2g f9uheIy/mg0xXBXN+71iMuev8ds/9myY+Gl8MaMb/W7G5gUMBzY0ei49duQV 8o0+NeT7WjYkdvLW970Qk9euHzoZ48SG7ItrJ2Ofi8k5m6v6B53ZcMcqQxE6 xCR34Ln+Thc2xBl8Kt/yVEy+4v7Z2beJDRZTGuQuPBGTtkpzzwa4s2FbQ7Ln hlYxWXTaZvClJxue9jQWGj1GPrb2N9q2lQ3J9nlfN6F+CXoijGr3ZoNIVXtL DfJT/Y7jFW7b2aBiE3YnFLHueP3QA382WJ3T0fFCnJz5znh9EBv53NNlD+IB fdm4xhA2+Mp36UoQr6tbVEnuYENHnkZ4HZ5/ZvP6HzfC2ZCjfrCjFr8/7X2E mVUkG55HnFw0jvFF8PbRq6LZ8OlBnliI/vW+0vkqk1ich462P2uRH5eUPv59 noLxSqjnXJ6JyQM23yyM6Gyo1lual9MpJoefKHNKmWzYv0TDWgf5022n2fWF HDZ8k3tODKL/rRz3Gi/mseGqo4fvjx4xSVt0VHAkng2P+hqm1KMf7qirvaWa xAbTo2kjyZ/EpLn7K3FGChu087flpAyjnuFpJ+7Zi/HZfMyxQr71VibvyBz4 fz83W3weR71VGiyTkMGGJYELJ55JxCS/7VQq5zAbDtHJaZ6oP0+/6No0mMuG 8ain9XeV0C/3zFD3yWNDhW1TYMxsCak7zD5jWYzz4EAf24Tz3SLvem/0DBuG 6M07HWyRb5UTM8PPsYHp5nlm6RoJOW9OjXdnBRssbWb/td8gIWMNFgxWV7Ih 93ez22tvCam2dkSOWYfnze+a28CSkPYbjZ4O3GSDWcGrwQciCbnLIzB/y202 FGlWFPxIk5B1QS1G5k1swNDEGajHgwVFG389ZsPIDumcrusS8ny14wFqH9b3 WWV2MkFA503ulr5+NqR9WtYoPYUASeNFLY8PbDjWu9UzUR73dfucCyZf2JDq Ur6Do0rA2Nehx99G2PCs1dfQVB/9/OjCI0F/2LDAf79WhiEBLpPbAp/8xfpe uajybhkBx6Y3fL0oZoN3nUFr1Cr074a5SrFyHEj0P578DvVA7IoHL7oVONAx UBn5agMBRy0kxzfN4IDDnbWzGtC/fHaMNDFW5YDjKcNb27YSoOZ6bKxIjQPH Mt0eyfgSYOfVUa+owQG2nX5DoT/u1xA7j6F5HDAKjj+RHkZAXQRtrr8OBxoz 3ze8DiegP+5s38MFHJC8Sl+qHoX8JlKhVSziQG95m9COgvol1clmniEHVLID 7xnSCdh3gC+9fwkH4iaezxtjEtBd8P5Q1AoO1E/0/CL5BKzROWCiZMaBz5kl 2l+EBJw5YdZ61ZwD05yeyNESCJi+6GW0jyUH7DpMv3QkEUApi5eftObANnO5 qcqpBDxfanD2xGoO+F/uKVuE/GFz6ZGjE8mBP8lHlqntJeC4Gf3dZwcOaE/v +/dqHwGyNXMTMh058NTVNZ17gIBI63pt8/Uc2Oqd4PPtIOqfm+E3ujZwQDiw 469tJgErYYav0BXzmZugEJRFQF7j1dGFmzngfPaZvU82AZNO23OaPbCe96Jd FiO/hT4gzKK3cCAldXT8IeLmTWefKHlz4P2BaCOnwwQsfbppd5UvB/q7L13P RZy1ZUTB158DN+H7mTrEIy8KyiYDOXBjUf/PKsS+fg5OJ0PwvFuUKymI/+v5 2O+0gwMymarTlyDWC81I/BLOAYOrbKNS/F76e/P5WZEc0LBb4zWK8Q1HvL5p HsNB/eb+TBux51Di9pexHChwVJPXwnyuxRmOCakcWLz3fNAP5GOtX625ugwO FO8xdT2G9UhkMVfeY3FAXX6Rrx7W68PfeU+juRwos83WSMR6ugjvxCoLOGDJ 5hvWphNQSUQqVos4oPr0iu39NAK402rWi5Oxn+ZtngLsX88+//cn0zjAqzn4 bT72d81MmeT1ezmgc8XtWgn2X3G2+39ZGRy4tnpLnB2HAGreqN+qbA64m7xw 9sP56ZxX/PflYQ5wC0sWbEc9UKL72VwvnwNr/KKnSFDfTjmT1X6vkANvUCOe jSAgysiSEnOMA4r7gl+a7yTA3CSlovoUB1ZNWj6QDSTgnp2OrvNFDojtDeLy 3VCvNDTdHqrE+nI9DTM2Yn8cowOyr3JAvypTkeaE+salNu9VLQfGnT7zFO1R H/p4Ku1u5IBb0EanSryvsxlpE9ld2M8L752ey6He26HCk3/NgY/t5TKnZQmY 8Cr6k9DNgXI1tRYm7o+BlVd+xr3D/FS38V2/S8iqX92Dm4Y44GfQ6Vz+REKW 9UeE3/3KgaNpZx+ev4d6oeNX/+ofHJht2j616baETL4q/3bpKAcoO+SDLCsl pCd91XN5ggtmAdPZgYckpFNYvWeiNBe2NZsMrtwvIW28XNrGZLmgtqI2ZUmK hFy4MuThR3kueC/glSfgfvz+80DD3Vlc2KV+49WIv4QceKdB2qlzQX7qi/d/ tknIrvaTN6vmcEGlX/P3Ig/UJ1dqr53S5oJ9sce2aU4SMpM2cCFxMRe29FFO /TWVkEmhcUv/GnFhhVF7R5yxhGR5jpdRlnHhv3t/rOcYSchAM+XTQaZc8FBR Y0vjvvfULVz4YiUXpHMFGeu0MX5Vg+NuFlxYeVSJfmuuhFz+07bAzpYLtWpm NZtmIV+8a9aotuPCX3bttF3KElK93SN3GXBhbEa+8rUZElLhzhvV02u4IB5v N7SfLiEnL+/KmreOC99ve5VOyGG+J37OOLyeC1qXFrz6ORXzzRbuV9iI50fS pi2cgvkmysknuXLhrV2a/x7US4+oh9P+unGh8bCenIE05h+iI0v14ELLTudV kwT2z+Nc4qAXF77NH/+tiLjMwVwStI0Lj2IsPLciHxaa3ha88OHCS5nfHp2o tzIWbhx38+OCodK0sUzESSrP2c0BXGju8jNOQsySCv5tF8wFpdvN7ecRR/34 TKsO5YJeuOZ9JTwvsI/5fdlOLoRkanwuR+z5lIg9vYsLGdfiRoX4faeG/V/m RXFhVoXLuXQp7P9l9cjDMVzI8r976wHGv/zEiQ8KcVy4INIeWCuL9cxetiOJ ygXNfKj+hfmrJ17r+0vnwoDB3Hsv0U/LU9cEUVnYL0OPS79RT1p121/R5nLh +UwHCU9RQkZssJ3ygM+F/b5BTvZIokerLX1YIi7Uv7BptVeVkM0LzSt0E7lw eV58Nx/5/vdBE3FrMhfel3YfG5kjIfXHl3nw07hgp+9lXKaF89O+6E/Hfi74 WJ1VuakvIS/b625MyOBC1ePQSE2cn95yneJl2Vz4ZaqYdwnni0zWWJt6BOft zEZVnqWEnFgpn2lxAut5NGQ0ZpOEXFoy5d27U1zgmWpbBKPe3q4ovSrzDBdm +prOTPCVkLUD468+VuB9kHkoIsMlJDN3yCC/hgvTSmRzshIl5NfRJ//9e8iF zYf9ZX/dkpDaYY9Uylq5IKpJ9Bm4KyFdn7Ts2PKUC8qDFmHvH0vI8rMNChc6 uRBI/lg8swf1hs/VbYF9XLjBbJz1nxjjv37ka/0oFw5EeDi0z0e/YnDYYfdf LpTTWD1NeujHDmXmzJ3A38uMJF1YTEBRVLoNTYoHd16LQv1XID/M46XpKfJg r+w9XxXcR+l7WC+fzORBnGqbaq4DAbW/aMsEKjz4esdu5lTUC+qPotufqfOg h77uWoULAe2CAJ20hTyo9xtd+NmbgAfbd48t0ufBgY1P3C9tJ6DBSth+14AH w7+/zfELwP0+UpQ2ZRkPGNTzbmGhBJS1nw8uXc4DG2mGw3/ov45X3rRZZ8qD WRt8nkygXsiIefM1xYIHDepUI13cz2kbh1r0rXlgtvxLzbTdBAgNJ0422fLg xvkxaiv6OcZUReEOex4INUOeMVFPxAzM85Z14MFIwtrASSr66ztLTU+v5YH9 hk2nd6C+8C+xne7oxIMLl+aTFQwCtohc3vc786BfdeHjNuQLF3+/28kuPHgY Hyf9nIV8YxOdr+fGg271rqPX0F/azOHTG915cNDI0ZWDfGM2um9TmBcPVMyG R9S5BCx5VrBYZhsPaq17og8j1r1SLnXKhweVcanZw4jnZtW9XuPHg5PWwQGL eAQoxz6ofhfAg8VF3x7aIJZzfZWZFMwDqa2Pe4wRE0s+R+qG8UC+/t9FMf7+ z7TxtXd28uDnoNDvAuKv7+V1QiN48FrpyzQbxB8a545JRWM8CSFfT2N8PSeM 2k/sxvp+19n8FeN/Hm993oHCg1+Xq2LVET8K2JDWR+PBbvA4q435Ntn6Bicy eTAtxcxXFutxc26kzUIOD2YeNvz0AOt39Q9HrYHHgz4iuY2KfFr+PP1rsBDz JVQz/mL9T17NayES8Pu3k0+HxhFQkF12siSJB6t/95y7gP3LjqsVQCoP3Ac7 rF9jfxOWdpkk7EP88GVi7y4COPKDCgsO8oAr+6T4OvJv3Mc/A7czcd5GxibZ qC8DT2nkS3J4wPo1XnYW+Xj1PG+p+OM89Ne5pz95IV//DX+tcxLnuy/6rowH 6qcXrOr/TvMgckfTP3nka83DRyLF53jwMZIS27Me9bVC51NhFdan7OSLOzYE VI9vOSm4j/3IvvfLXwfPX7fB/9tDnL/CRZu/aRJwJ9NOPbSVB/kfiGCRBuo/ fYN96zt4ENVc8zsX/f+g2x+qajcPQhJPDzdIoz46le9Q9p0Hm77MlhEiP58c PvhP8xfex0Ab/lgL+murpOqDv3nA1/y9IO2OhLR4HGVEH+fBiZ21vt3VEtL9 j62KvSwf9jVnVh8vlpCdDiYPK6fy4We7/2Qb+o2AA/qpevJ8sD3ixtdB/o5a OOOv3Ew+OCrOO6C6R0KmuPT0dmjw4dlNpdUCGvLbkfYCJ00+dByLKj+/W0Jm 9zZvua7Fh+19zzylIiXkMeallmML+WBnvfuCZjDu1/pTSSr6fPjts32k109C VijkrU4x4ENTaOXZVvRLtccTKiOX8mHenifKeu7olz4zot4Y80FLt0F7v6uE vGseqb/ZhA8ZJevNtdFvucYH9DSY8eH4nR/vXq6TkO33PfLMV/EhVndRbQP6 Mx81J8+zlnzIvXTO4jkpId8G2ihq2vAhbNvBVjU7CTn0SzdBYs8H0VeJlKaV hKTZa9jQHPgwtkIprHeVhPybPn1kYC0fzvmMBz1bKSETOiQXvJ34YPV+9fpR 1BdTdUZ2PXDmg7VBYZCTiYQ8EDG40M4Ffw9er5uWS8hZV9+8vrSJDwdnuXyi Ij8UTLbl6rrzIbEw9dqmZRJygfPdzbmefBhq/Rfms1RCnjl0XV5uKx+EVrfF 2UskpHH3hUaeNx+yjGOOjiPfVC0+KRz25cPbC/+sDiG2oR2xDPbnQ9Xu5pc+ iOtv7vvRHsiHoI3RUW6InabFV6wL4cObwbjXNMSPPOg7a8P44GFtqNqM2Kto 1/yl4XyYQk3uXY/fUwt7fLE9gg8XBrtnymM8nUYr7XnRfIjfV5pBYLx53/Me L4zlw8xV85SWYz7br4n971P4oJSyxSgb89US7Rii0LFeXYZMI6xHj+MD/hwW H7pXXN/z/3qVTDeZXs/hg7l35Zs/WM/Q9tyCXXw+zK9o6VtmgfOR/89IScQH qdl5srnYjw9BIddrEvig0JpbsQL9d+Twsq4paXzIm8M+9xck5JKqQ7supPOh 0fjunsWO2E/e2OiW/Xx45PRvJGW9hKTINc0+ncWHiYXHRx64SUizJ0alLof5 UGfaefOyp4Qcyc00/5XLB/fquXFNqC/Zen5eawr5ICNzPzwySEKK7H9m9Zby IdtQd9FhnHeY4rMgvYwPvE/TLtWxJaT0o1uXVlTwgcK1+CkrlJBpvntbRZV8 2OYn9prA+3KQsUBR+wYfIi16/9t8XEK62aYVNt3iA/dVelh4qYRUlh5aElPP h6+8DuecCgmZk3ltw427fMhkv9y/ohb1drnbHt82Pvg8mu1u0Y583iuQPvKe D651oZrSqOdjzr7Lthvkw+paTnHoNAKWxzovfP8Z55Hsf1+vQMDlf7PA/DvO w4C1Bl0F+Vi9Qtg+zodNS86a5eA+uuf6cmymsgAata3mii0ImJOgF7FXVQDJ tm3Fx6wJiLi6+4XMbAH0ZQq7TFYToKApXTM2VwCat492LEZ+377JdRFdSwBi xRCv/WsJqEg4kjOsI4DCaDWpHuR7149L6O/0BJAtmJXphn6mWJP5zt9AABeZ r1yjXZFvNt32eGEoAGJ+0s///39omVVeJo+MBeDmRx929SSg92PxcScTAaxI v7ZGcwsBJvMGZzaYCeDh/Yx97VtRPyQKhqstBdA68HOVtC/60epmfxMbATxh BN7joH5gDCo/Kl8tAOOmsItdfshH8/xsF5ECMHIuyFyIemL25tLy4w4C4PvN 0/DC/R+e9G2upiPG+ztrMiaIgJpq6705TgKYVtUyERtMwLRPyWMzNwjAf8vs dp8QAny0WnftdRGAV/W3DUtQj5zbPOeFjJsAzkoVmvcjHk8KdRK5CyCOzQ9L Rr7ZWHO+esxTAGGqmdUKqFcKP43q07cKYOW25apcxENaDjnD3gLwcB8ObkW8 2n2/TMR2AWzpvXRIAfnrYPJz2jt/AQzR00uNEffUzH/nHySArcLYPEvEKz5H erwIEcBoi3KcIeIE7ap6jx0CYGh2ryYQt7mLVzwKF4A8d+Oc23j+whTn406R Akg5Ez13J2LatUMzG6IFMNb3KPwnxnvn8xuhbawAjmiMGe9CPEtn8XA1RQB2 L+4UNWJ+Ozyo/iZ0nA/Q+DINcXXKjYflTAH0XzT1N8f6TK2dYruII4CY5qcr N2D9tn3ZXH6cJ4DVq/7WOWF9z+oUzNUUYj9VvJyNsf5jHgPpOfECiHU4YD7p T4Bz6vKxmUnYn7drXtVg/z5/udMps0cA0tfWjQz6EGA7f4aTaK8A9JaoO4Si fjzg6V09tl8ATu1vJ5pxPoyvfzk8nIX1//e9ZgvOEyVNzeNFgQDaLlBqM3Ee G64H1nsUCyAz/PQIzZkA1eGyFY+OC6C+4sHoOvTbV73sZjacFoBPxulbt3De RxeEPyy/KACDpDi3qVaol5sbG+ZcFsCJyFXMtFUEGEYvrE27KoA9uyakJszw flS/OR2KEuWE7aXh+8YE3N7gJdK8I4AfVpoFMqiv02lguu+5AMJHHzxMUSTg hMaxxWMvEG9l+VbIE1B38592+Cvs5z2fiadTcT6mXlNY81YAUQ+Xz9eVIsCj 0Hjg7yDWry8u6fYXCanZpHk0ckIAn8Yt5lytl5ArIzkHX4gF0Nkb9/ToDeTL mZ3J66SEcEjIb8yswf3mk01ZOFUIfnnvdt86LyH7h6ZtfKkkhF3z9n1YUoD+ JXsnrFcVwvHnqXVNuejHLBstqtWE8Cj5qjM3W0I6J4r0sucKob580aNVeyXk +dm/J5z1hHCY87pMhYd8Xef5q2aREJLyd549gv6+J6jyk76hEJbn0BetpktI lfLoTsJYCNlTvv/9HIP7fPP9R7ErhCDrXRf3G/WD44hB4xtTIbT8tsjX3YX+ 3f7dpVoLIei23hz7EIJ+v588Y2AthGeOdxXjcV+XpRcX5dgKIflo0WHbAAnZ YPzvkLS9EMJuWH/XQr3xqt1nLwWEMPThDVcP/dYvdk18zxohTDWI52xG/aGo rcZyXScEqoHmyhNbJaTBHWpM3Xoh3J+d+W3OFvR3u56EGm4UQt4U+4Ea5I+c 9GPLH7pifks1zEI9JOTgud3juzcLwVMn8YMN6pfVD1c3K3sKIX2KipnDZgmZ NTT90NUtQshZv9+YiXw0MON1wDZvIaSskR3qRH9ovaLc6K+vEMq7zsSHI85w 5/4u9BeCI/v1oB7id1TnBvsgIbzfNKmhhNjisMbBvhAhjMs/n1iMeH/VB5+U HULY7u2WEIu493m1/uJdQtAaX8R4h9j8T8r3+5FCGI20Lk3G76fP2XIzJkYI T/Mq3npgfN3WeulKcUIQ8CXdrhi/md9PrytUITxhZWxgYH5pgob5WxlC2NYj 9/Ae5v+qOOvLH5YQml//lVuP9VlxO+haARfnZfe3wz+wfim9y5PtBEJYoH32 WzPWt0tK7NYrEsLLazXHm7H+y/QeayYnCuHIlQG979ifRMeiD4tShJBZUDiw JhDnYY+NKHqvEBRnSheEhOG8lslvnHlACMNHX65fhv64437X7MsZQvi0e8VB bZwXgSL7wuhhIdReELRR4iRka/bVN4nHhHD94YWQRuRn3atJZfonhKAksJI+ j36a/cyDce8U9kvu/KaqVNRjGt+nzzgnhDXPGzrnZ6AeLFpmm3dVCJs0dWoc S3D+z5bmX2wRwpmFjvG3UG8H3jy67fVPIbx2NDRNRb2+ZqOLtMdvIbw1ar2o NIuARV3iC81/ML/Y+IDc2Xh/f+2ccmUC+1/t/iET9T93qXlV+lQREKdbdf7/ 5/H+1z8GieVEsI/+JjPFgABYXzidMV0EpzsM0loNcZ+GSYcFKYvg6/e4prW4 T3IK2lQsNEXQ1LI/8zTuH45hyq0KLRHMu7BnZrElAX41lpEL54ugZ7f6+z3I 57rtx+oV9UWQ6f2w0swOzwv2jEkyEMGp2hu3fqB//zQ8Zc6YoQjuVNtuOQHo t+V3x/Ubi2BUdym1Dfk95+iCeb4mIhi6en/ZZuR39qJnza1mInjbnNZ3E/el vYOtTp2lCPyrzFvDNiC/PPl6f4WNCAqe3vIvwn0rG3CSWboa4zN5nX8H/f9D jvzjLAcRUEnZKS82EXBx6i3OVEcRvCMTLzahHjiUQ9EXOIng8fMxueObCWDq 6rf9cBZB1/zH73a6I/9WvuDvchGB++cMhbnoz1bb71/cvUkEh863bqtFPP+R fYenO8anpXBuLe5/6e0/RS2eIrhF3dNfh/jDx9Il9ltFcCP+zWdt9HsPmL6d V71FUHPj3qUYxBdkZiQZbcd4vI8YnEWclV1vfNxfBOtL3RwfI2bMZ7xUCxIB rd5e7i1inwuLU/eFiGAJzOW+QWxr+9qE2CGCFUr/Fd9FrHM/4w0zXAQX/X4l FSCW9l6T/iVCBDoV/8AP8YeB3ytDokVgZLr9xzTE92nn3nbuFsHB+0svlWC8 54mA/a4UEZSujD6xCHFWhrLlHZoIpH8n/jqC+dK1mt5ZMkXwVHbB0xGsz7Zy dsYFtgh+zF8USyK2sVpqo8fD86xpU9lYT+3mnvd5AsT/WXYWYr2JLYeyZ8aL IOvWQZ2L2I+BvnV2KYkiUCiKX3IR9Vr55PmcuDQRtF2/eJuD/czYHwzv00XA P0r5uhb7TZ2rNrR9vwigcPpyMfphq1X8tU5ZIvivb4GXA86LN1nS9P0QztPp voFynCfWhrvrCnNF8LK9PFZ6DfJtgJLz9wLMz/lRvhDncXnaKdeCUhEY/GBU V6E+3ZTV8tixTAR1IeP2x8xR/xYMu30rF8G19LZcHvLtuYuWHo6VIni1Zp7v zOUE6L94uPVrHd6vJvvYarxfa/u+d+bdEsEJ2fEMZ10CQr/M9llbj/eJJFSf zSfguCRoe95dEXzcNnfxC7yfmoYjgWvaRDDDcVD+JN5vZa5WxJH3Ini2ukf+ zR/cd8kOn2AQ50Vh6uJbP1HfHwyP+vJZBKmcYwpnhnEfn6iMge8i2E9XOJDT j37xgSP187gI1Nyl++XaJOSiZ5E/cyZFEHJmcZfr//99bk8GnSTigfJ09f2T zbgPf3Yxc6bEw9VzoeZ7byEfa+7m2SvHQ7P+smVByNfzFh36N6gaD4aF6yUe ZegHV1wTHJ4dD4tOHHMLOo37ba1U/KBmPIy75Gs9LpKQRzYZEIe148Gg/ZPf inz0k94uiXYL4sFcqa/oEvL7z+jc5EOL4sGzVtNnRibyM6tO1s4wHpJ9u5yH 9ktIk4S3qR+XxIOfv5fNULqE3J1jlL7aJB7sCo2veCSj/z3mJv/RLB6O2X+J rk1Av1JG35e9Kh4WenZmrxEhP968deCDTTysSzw1v5ErISP+Bv0cR9yq8mXq VcSDq6R9lGzjoYRWMnoS8ceLTnpWiEeZ3t+SEH8oeXJ9L+K11gpOaxEPpPR9 WLY6HoJDFuy9y5GQfa5THOh28UC/NBHVhv4seO/ZM3sQa1D9QhoQ997doFiE +Ppe++Ar/8f2GS+aELdl5bBz/o9NNGLV7bGe5w8r+iLuUTMqvI6Y28xv60f9 EujxkGhFbEplbH7+fz1zcHf4O8RrayY6mxF3T71iOp2Mh429/0nOIX4zZtPi j7g5UruWgth/VbcxFfGS4jP80P8/p8YfTkV8RPHu+i2IX39uDLyI2JfS9NcS 8fbF4U13EGs9PvPWCPGrMLklLxDfsljYOu//z0vKM78gpoaY353x/+dvXH9L EMdK9TVJmBLyf0iJf/k= "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"RP[t], X[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, Method->{"AxesInFront" -> True}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {1120., -210.}, ImageScaled[{0.5, 0.5}], {700, 400}]}, {}}, ContentSelectable->True, ImageSize->{1505.3333333333333`, 432.}, PlotRangePadding->{6, 5}]], "Output", CellChangeTimes->{{3.417798470527889*^9, 3.417798551049878*^9}, 3.417798596378945*^9, {3.417798634547777*^9, 3.417798647654536*^9}, { 3.41779873586774*^9, 3.417798757970432*^9}, 3.417798853562356*^9, { 3.417798890597626*^9, 3.417798931548714*^9}, {3.417799181040075*^9, 3.41779921240397*^9}}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzsvQd4VsXT8H1LOr3bsXcRey+IFRALVkSwgYWmgoqdooIgigp2saOiIoKA FQEBCyogRSD0FkroLQSS7Lu/2Z09545BEp7/+zzv9X1PzoXCyTlzZmen7+xs k1vvv6t1+1vvv/v2Ww+8pOOt99519+2dDrz4no72VsoeiUTq3YnEHhcemODv JpHQ/5T0057/lPy7//3Vf8evbpT/pcQnKPZ43Z39dsHO376M/8qtcvLvtOKT z78TjUr1VGP+Vo6/pfzLU03kb6lJWIRXkpFrWCqA3Xd7WI3/Z4Z1aakAnuL+ VtKkuW+VL/6tnf1fyJioUNJXdvZ/R8BE1r89E54V7pBBJNJ39lBZ4HX7rw+5 0f8DQ25cBngnu7/9Bya7Udkeb/xfomupxhbJTyJzVw//B6a+jCP6byBAozIQ 4F8Y4bIAxmmrjF1TvZTcVxbOL8ts7o4UlsQBZRt5WUbzf2vku6Nyd6kDSrYT u29h/u/Y613a05LsdVkHWDrP4P+O5d7lAP/FckdP7o6zVvq3m7nfm9/GPSfP 5Jv8f7ydalaZVfLbd+y1w14xAFeF4fzAfzol/7Ne8le2P/4Qd7+8YNOliSqJ WbNWOczkb/yp/D90r9L/Q7j8f/Be4Dwn0emmwBTI/WfNs0V7mD0+u2Rjk9QZ s3Mq/s+j+r/3/ntEKrDEqckawjzzDL/OPmbtwf+rIf7/cy+ww5NOQ4R7fU1f NMTYU7aeXuX37HkV/udR/d97/z0itVMN8cor/HrLnmuzEleXAOKqEu41Lfu9 YhyZEb/3cA/Tw7pRiYX7bN+/6sTsOYnL/zPfLGkMJZMhVclg9luSKD8le9Eu oPwHKZEZvyc/HUyHbelF6X8dse3ovcbPnd7kf4AYAwbIr+ssSuw3Zu4Uwxsf +ddiiPoRJINyDnpqg1Fm1KbyhRUW7b19v7rDFoytIa9ndnh0ZY+3r17fbF3l giqF5Uy5ldV31FxVvaDGk3ev7pg+bfbSmvJY+lEj5o/v3mZ1p+/O2ly/S7vc B3rfvqZt/fcWD6ktv06rZpmk7tD5Yw75bt7EI76e/3PG1NlLE4LllSVgWXxw AwcKwgcuSBw3dMGYMg0uxcOYbCYv3dfsu7FCYcWL3l7yWVV5veKJXyz8YcqR ecfCy3mZJvO3U82p5kx7XW2u3p5m0ri/eO8d+7Z5YkWvtOmzl3mDDMu/3Gzd rVuyCstbZ451gJRph2078r6HVnav/tuc2d5wp+0xc9bKto+veObdqzZcD3Og yC1GPJ+62b474rzNF/J7psy9UjFlxqzlR42cP6HlM8v7vXTT2la/HZd3Yl5G UeaSPXfsvSWzKGtunfyDuH9jn5xX4TU/kJq/zJl5xieLRrbuvvy5Dy7fcM3M g/IP/ar+povn2MdHnLfpwifa5z54Xd9lb5z10aKvcDTda+WrTZyTfe4Hi4b2 vXntHe803dDs1RvW3fxLvbyT+ty2ps1tTy9/4fanlvdlZqu5x3nzoB/m/cHH u7bNfaDVk8ufZ2yPd8jtfPGAJZ+e/PnC7/YeN3dqdfc4FGPCW/TOefmG55e9 3rx3zisP3L+qC1QHd8CV+3vWCvd4JlJ8+icLR570+cLvmefz3l/8Ja9bimYD ynFaRq2f58zcd+zcvyyEaQeNmvc7Y7CWcS7ETvQtPTfVnZo4/73FX+yUm3zw bRYtcsmHP/+0UayHscQsmVLP1NueWpR278Mrn3SKPB1MoCDTnFvT1DSt7ZVr ch0PZkjgONKMHHuuORceyD4g/+DLX1n6viDu7HpVyNLn1jVt4FOe2VzBVDCd 7TXeXgvttdZen9nrEfPIr6eZ04RxM4oy3rhufYur+i19x4GpBtm6tV19v5Xl fXmkIMWkfH+hudA0s1dTe71sr0b2sn+ff5A5iGfAevyJW08d1HDjFXBgorwj yrFfLfiJCYbBra6AeTNAa/ox5hizv72us5eFARzu+2dS89OK0j5ssuHqhm8s +Zj5yXQygeSfPXDRVw88sKrLt1ZZoFP8K2mguSPVpM480hyJ+CGSXl7SrKnZ 79NLN17eqfOqrrDs/qPnTrZGSWDy90veWjLop5O2nj7hhK2nILKJ8vJe+oJ9 t+8/7PxNlzx95+p7mz+b80qz55a9Djppjpsq/Zk9/4QvFoyywvFm13arH5h8 5LZj11csrMTUJrIERPXlNXfUHnPKljNfabbuls6dVj1+d5cVvW+wYKByndHz JtWywgc3WsU24ejh88c1eHfx4Jssrz96b+7D71254boNFh4T6sDVgDBL9tqx 94Cr19/IJ9EAj9yb+8itPZa/eIqVIF4HJStRgxBAeIRPMqHvXrn++qV77thr rdXGKOtEpsCsubJGQU0m75NGG6+Ef9AB/Zuvu+3aF5a9xagfvH/VE41eX/JR +0dX9LjnkZVP3dJz+UvMAFQZd9LW06DSH8fk1YPK8JNTarV3pBSlzK2z/cBf 6+WdOPiijY1fu37dzc+0XtOeiXvB6gyLVq/nb1l7V7vHVvS8q+uK3q9ft65l u8dX9nzkvtxHeM5OxqmzrCrifRQglARmqoA/nRHsSC1KXV21oPov9baeNLz+ 5ossy1zDCBCkkedsvqCrHfWLLda2sp9uaTF+YvDFGxt3tQYGzPnEyzeuu3Xq 4duOwhWZWDfvBKTKTl4qBtnCrwhbMwHrKxVU5r6l3t58a+S5my+An9CSoAcs +927+WaPO1bfM+TCTY3QbRi1N69dfxOK+KPLNjSFwrwLn+m3gMk3+BZ/h4Jr qxRULQdJE5nfnbn5PD7142lbzpp01La6fAqNi6Z9u+n6ZuW+PXvz+YmTuc2X fj82r56dv2uhBImi78/ccu68/bcfYK1NFvp8c/nC8vZPheU1C2rz9elWMPmQ DRHO+PPovOMsb+0z+KJNjdEJz1pF/v4VG65Vpc7/QUUm0X51zKlbzmTSGBXW iG+NOn3LOfAD3wMurMuomEju/X1I/uE8p8P64fTN5/59cP7hb1y3rkWf29a2 +eV0c7p5zDx2WjG9O3So6t1rXlw2YJd6d+pUp3eHDzd+5SjNbDAbhlxproR7 oIwVtvGJLKd80aLYo9xqBdXRIaa9vdab9S4BnW6GmqGzjjBH8CoD6HHHmntQ RU6DpFs5GWDlsRkzh0b64CZzEz6DezvTTLXXXeaurVlGhBgf6eGOuY9iyTBN KQIlC9N02atLP0RdQjkeBdrXl5pLoYhZYVZYOwDIWmaWvbqYLtmHmcNU/fLO e1esv47Zv6r/0ndb9Mp5+boXlr2JX/HNOZsbDGuw6RJESOH+frI52Vxkr2H2 stbF26eqYmkm2qudabeytqmNHlUzMOPQ/CMQ6aENNl2qnPFCy7V3wM/II894 dTy1rqlrLrDXPfaaYS8+keqnYp29PrTXtfayU4L296o6fV3lwipYCyvW1SzP n72yekFN3J1U/+uqpqq53l7P2Gu4vb61l6WMX7HAYprp9sLs8eUbzY0zjjZH M6lqDKwKTUdDr69UWNlq68pFieBYVYWQq2qZWmYvez1kr372es1en9iLUYy1 12h78Vm+0dherUyrcWebs9dUN9UrCJhqgFlUx9TJ2dvsbeyvzJP2wmzeZy/A Mfin7TXQXi/Zq6u9jjXHYruW7WP2EXSdDarG35fsZ/bjvrFDERiMvrm9HrAX 78Jx/e3F706xl/3dD5b4MC0U87CqMz+Y2Y2VTCVzhb1a2uthe11jr5vt1cZe De0FfO5dYi8La4Q195ARLzg/3aR72wZqcLWAu9hezOfd9kLMrBdsHrcX4O63 F9Q6zl5n2cuyHYIO+66tZqp527apoqm4Yk+zJ4SUSbjcXmCIr8LfLaEN+sFy pnzmKHs1MA1G2k9MtKOG5RiteMretqk7Nc1SdwLOOeiA6uH2usFeTewFzDvs dby9zrEXw7ATy6T+ZVEGRSjHMJ1ty9qWYTIAzcTMO9gcLMKEj8T/7T3Qto6J RTxRQaiB9oDgUMU+N9t+fkt5U54JX3iAOYBP8O+EY/O9gY8TA7GBz/N/nGRO Ej+MC5T5DqgeaC/9PvcsSfg76PMOjAOs5ZanlTw2Ujk1UVzHDh+uOvaO7iv6 lEnHZnhFWWSvvqZvgTXTfMYGcw9mTZm92PlL6fjrd3Zb0QeTyTjHnGfOM9PM tAoxzfOeeW99FVOFX6+xKgAXCKcS640m63/j2tuw2uqcQqjX7jR3mrlmbkWP WI69LJ0n2+n0cp21YL/tdTA/BJ/Wh0hVJQjbmN72sk55opInxCB7PWWeGl3f 1IdubspTF+OutrDXW/Zabpbr09vshTZADO0Ml+MVpwPTUZ1QX/x563SbIfay r1aWVysJou/bCynDsT7DnMHYkTRjmUJ4FCWGhhhjr41mY0Lf3W6vX+3V1l58 GvAn2ov4AMm1sAyJFhQXBshas0QVebcifzdf2utRe6Hg4tKPY88Iv7YXVibP 5Olr+fZaYK/X7cVrKDEUD59/3l5I+M/2WmwvS5Wq8lp5s9Jev9lrkr2+sFcv e42wF6NC//1tL6u2q8vjWWa+vfjwFHt9YK/v7fWNvX60F5C3mC0JfRYiENgs tRfEmGCv2fbicwQ7rJTU9Ky52l7AXmUvfcdi+XTJQnDGz4n7H1zVtdRC8Mkn 4MO9ymCK8ocHsGJjT956Ou6Uhtf83Vq5ypIfgKksyyM4lT0KluJCG2vlVtcw NZxGSEU7fIviIgqz46gWI9cT9kKU+BUKAKtO+HiLveaZeYka3hGBJLAqc4vl YNIgq33GFNqLn0dKpEfROeP2wJktNT0GDjSJCv6etZeDbJwXs8GpqNOfYVHr F5mtZmsNP0lgAadj2eENBMZOonxjWDHMvv2WL226ZGwFXJAyYVbJ+yHILjwD 18Jj1i9x704q9q1x4xKxnzJ9S36zsER485r9eACR0X8K3vQOQ47Aud4FvFQz Y4ZJGg8/C0oE+XuX4ScTGZU607FTFH//nd+P6T38PGKB/zq8qVP5/cj+wxs6 r/Y/A+/zt4dfvSWzMOu/CC9N4X00+LNmsDyOvuObgf91oObbgTcDtOYvc2aV Huhbbynjp6OuzFVXGdOwoTGHH25M797G5Oe7F/8s+ZvjBt7NN8lblP6br7yi aiDL7NhhzJ13AtqYPfYw5rDDjElJcf8++GBj3nzTD/qPkhH4c2AnECBsKhsC 5eVeBUHgmmvcx1u2NGbJEvdSUZEx33xjTJUqDpmPPjIJVUgQ5f33jalXz5jT TzemTRtjvvvOvTesGJ4LF8on/x74GHiSH9wdPFNM164Oj2efjZKGc+Y4IlWw 1Jw1y1Tz3+zb15iaNd3j0NIOgXxYAjCtWxuzZYv7XA3//Lp1xrz3njEffGDM Z5+Bsqf5q8XGsmhRXEFc2X/pe2UbS5a/B6NB78suUycx1SxbZkytWsYcdZQx 27aZKn56hg51Y8iwz331lZsW4UfLkFdeaUw5G+OdeKIx69ebRDUPnmfs50zt 2vzLjTvdBvyPPmrMhg1Eyu6TEyca88MPxrzxhjGzZzu4j5U4ZLNq4AtMH0mu 3RvyKacYkybwjK9gSzFff+3m6JlnTELt/O+/G1PezvnJJxtIojNt3WkZwhln GLNxY6AORNtnHweFX7Vt66jUvr0x557rqIMk//GH8e5Rivn4Y6GM0EW5gueQ fDLS6hohGJbpTf/+xlx7rTCe2bzZDfWWkqm0+d2XoRLpwF1TiRlTKilFmBHG 8txzEeNffrkxlS15li/H3XTk2LrVaYoDDzRm1SqT4R8dNMi9fsIJEUGRVWQU frvllkDQsWONqVTJ3bY8pt5sXp4xF1/soAC8QQOy+8Y88IAR0alWzRH1nHOM KSgwVf2HC62b9KqVlooVge1ompXlFMukSSppGWbYMAemfn1jqtsJadLEceX4 8SZROyYIzBEY7nB1YdbzL5HeRa8IvVmK2T1633yzU3CbNkX0RqmkWtN3//1K 7xTz+OOOUj/+GHE0HKr3Kvl78B/33nknEuyffnIKaq+9jFm61KiXxbwcc4yj NGhYyodM0Nq1bnr5HSTkd5X9DK1Y4Vib3x13nDF3323M338b8/PPxnz+ufs3 KDBLVrCresrziFU38hp/6tQxpqr95f77R1LAbCxY4KimM2udLHPeeSJ8Xpek ysyiql54wZjt240TrEwR3RdfNOass4w58khjLrrIiNijXnJzjcoVvAuj9uzp tO3bbxtoXjvGSl7JJWaXPO12CklT9b157Z1lm3aVEzvdMiXW8IYpvu46R5A4 K0BrnmvWTO+livFApRx6qOhpdee//NLRFa7J8o9On+4k9+yzRVgq+NuMrnlz N0vWcmb40XH7+efdxDETlveDvH/7rZMXKP/uu0aTt8z5SSe5D6PyeEX5C3HM zHQSe9ddwiN+6TYdlhXjATjGh8G0dHevVkKjmNtucwhid9CwTz5pzH33OUVw 9dVOQvgsbDp4sAlR9OjREVvzh/ehgeUzgcc97MD11xvz229e7ziF1qGDY0v7 SprnyOOPd/rBypDnSKfzX3rJmEaNHHSrc2SgWEnY7Y47nBBYq+4tYnmcA/P6 68aceabTPQgQn2rXzrGslVc4WcNHpoLJgy7wRbduzil8zFrH7783ZuVKE8JH a41ESCZMMKZPH8fO+ELQ2Mp4LT8dWA5cK2uJRLztJxJtdsre8/fbXoeFqd1j b1AAzi+/ROxt/y73LFsE9oYKzImlTghLQZ3nevWKWN5+Q3jAmhWGpK9jHHnU skZ4vUcPd88Kd/gMrgifadVKn0sVUqj5sSyT6UmA8Hfs6EAgIlZqPJg05icw +yWXGIQzobJj9app3Nj9Dltt2cl/Ks08/bQxe+/t3Ae411LfO5DpCLAZMsQ5 XbzLJFsPpYJXmvPmGXPFFe5XqO8LLhBWFDnT3DomCuLee6/THzx7yCHG/PWX olBV9A0mpEYN93tQgfWeesqYfv2MGTPGDRsYKAsVFKyv5SslLp9Ca1owXmdX FPeX0TVt6v5glUAT0Vb5gyLoJ/u+gho50lkPq8Y9qDT5KiMAJAJl3TD/u1Rx yRD7Dz8U91mnMTvbmO6WFffcUxRJpn+atxHwAQMMNNSZsH61MA3xDjNpJZZa jwT/5ZW6dZ13gKRCUjs75f1ETZvmXNonnnAWERVj8XW+RkbQVFgqoPMo/gM6 wIGoTngvVEB3oGouvdSxIENTVuT/+IboFKh4zz3u+VGjhC+Q2kyvI2BVqwdE YLDf6F/L4eI9oYqOOMIk55LTsIIq4Kwqsl60KwFPVQHXn3Q/gXirBx1kvMY2 wSM5+minW9TDIbZB3x5wQPQcHiUTDWj1Zh56yFke64EGnWHNnrz766/Rc9ab E/a1ajE8h1pkWMSqavuwITgB6H5LPWUYq1bkUbjDsqPKPZyNolU/3hI3aB/r Cwtm2AI7h/qKVQ1Cb15BOU2erB93qoJpYzoZgBX7hK5aQhDMAwKC64fGskpN f20dFXP++Y4DsHGYTqtdMry0Y/1BCEkGKXgRiwDC+gwqHlcLFwns8IfwzOy7 fvoycOZFMe23n3uGT8G4ls/9M1kyQrQDTiUCxnP8H+aFkYHnPMbywo18t3Nn 4byQTkDMXntN4PKMPo4sAPamm5wd5HEk8MILjbn9diMBqjVsfqOJGC8Czk8/ debVYh0UEK+hp/DykIVx48TbM3Pnig40I0YYc8MNjgrWCXCvVRB1iqLBtGKv UCyYUf6ONYZRwAYdoZ9iOrmHPkPX4T2qycUX5TNoeDwD6y3pp5gn5gLMH35Y vDlRo9ARI4Pk4qtaNRo+xTtocbwklApE4V0cMxuuyrzjbDAqC9t5xuVFMvCI 8J5OO83RF2kDBJ/inmW6FI8ZvhdCi/kBEsxGrAYn8BpJDMARVukn4GeYc999 HRGYbUwf2hyiInRWpaV6Vcxj6FU+ZSWruEZav141Eiuj1K2U3uWwjlNQR8SN fMIylY9UnN0Htp2eoI7gZ+4RkKs6mjLF8aplhfAcpgLOatnShBUo3BDkhXSH lQ2Nr7DhEJBfrV5t1GVGenAToJe1r/o0YRceIFrfsqrCJtUHDj7aSo/BVgeg S5fwNO44zAiX2BGpO445gD95GoYi11LR/876ukIgfoflsRGP90LSJM2m+Sqm 0uob/16G+IpIKsNQs4prj8Ip53UW3i1mB5TUO7J62oFw3gfaEH7WlBjxO3oM 55q0F7Ydc6KpR8CRSAkuQ1UhKPE7IgGfqycPTxMQwYzYzvjvUAxIsx2FWgA0 FaYZf8caK81PQXzmxJI0OB3YDmQdRlq8OMwsWgVx9y5EhndfiDDQZahAVCFO mroPfBRnzkYq4vVCCqsh0rzzoXJI/hOTT8rHTp46S/bbkoCyusbiZt+1oovJ UTdNFTghISNG0WCfGTleqoNTTZQ+nsTLLxuxt3AtREd0oRbUQ4ThBcYNiRgo WKNa16wxibN2KsCfXWOuoRSl9AKMk64CzJQAx056EOCcHDdGq5qCYB57rLPE /EufY6z4E+CnMQh+HCbWOvrhOfS1pnD1Odxi7n39dZSygufhKPjZur+KItYe dFgH0LhR4w2E38ptqr9tMREWR0Attat4ao0f72y+j7xRF7qZUnwGJAHiI2ho rbDGm+8mAr2LhJD3hleYYEIGdDZYwIKW/TTngncML6hQMR5A2/+HnAuIE8bz hg4KbsUews32k5pQ41XYhnBNA1tIhckDC9Q8bITKhz3BCjCWGLo0jFeNKsBn 59eYwltvdTKNzNiBhlwdIRquQ6dOTgLhRtwYgl+Nai0BJXghWLZeIqo8saef LkJ6zAL/2tff0+w1/6q/U05+o7VpnVNrx567x8lWTwvF8f2r+HstWrjJsz5N eA6qq3nS5/BAYI6uXZOfg6yEr5oVg15oq9mzVYunSPoLLWDp6Z9LlQw38IjQ LD6p/lHiPj5tmd/PZKpoYO5ZRx2m91sIRGbQEUz+oEFG5x3iwlqqfsjVYno0 LYNutE6e5rzxxmEd++uwIgB3kfsguahzThLjwQedcMDMuLGYbOvM+Tl3efGZ M12uCtrAJ3Zel+5kOnv37vWgeZAqwN2bTiwRFj8SkBRBE9iWu8NzeHNMCfk7 naa4YtJpOvVU9y6Bjk4TKSXSa8i1fV93OODGwjX8yqKmtGdKYAjUIKaBH4iC RgDyjTcKQTQtigMMBH5FMk6TANDX8kxNT3rEj+ANTxXHGGOAc0swpws2iA+k 51nyS/zsH6d7ekT3nj0fpKYEn3FK9iIh/YelJL2SCj2EuoxzPijAOSxd6XOo R+yWJXdYg1JJstKYULYnt6yxo3Im2gh0zz47bJuR7xINeknUTJt6XWpqNSbC 8bDOieaXsbJ4QKhD/G4sKWqSn6Y7JZbU71hi7fPT3Km7RSxNnN1yS0SE++93 A0YVKRE0UTxyZEQEZB9jyVKJ3/ovXMQ9y5tBPAlMeZfcEQ6Jhsx4zqqSWcgj OwLfE1PgkQv2HUoce6h2sBeV9m6PUsrh87/55cB5o/6Ufwk9nv8XeuBqFacH SRxwsw5PoIcub9nfBXowBpgHGEoPdUass+GZIkUWKmEIdKZONYwCLVQL8vun n3bI9dr5VFPtYwd15seLRriNMqn7zx09eWNhhYrrCytV3nfu2L92OuL4hihi SMew0WwzYyQtdSRoFNVeOhLrWYpra/V3QqVfSwBQtkTQ2G9cIJSzroxAFTJN 1uA6nHoXG2JBQRgitV52iOwU8UN8c/21NxV5l7XTqs5dd2uIuBk6nOISTOpC h0iEwj2r38JkET/EV6DQLKQl+PnQjcT1nUgLo6DizY6i2XM5ryX8MFYXVK22 tSgzc0b+oUcM31z/ot0aBgb1xhuTh4Erw+zZGDwMg4R3vXruOdXBaHp4m/Tg 5MnuYwNLRn+FvSz6bHVLuP1eaWmzpy/bVFi+wvvrr7j2nfVX3bBiR41aO5ev ksag+gGli5uDglUSExzybewjcsDfmR5+RpeMI8VeFgFK7z2O6XUXDBP5u2HZ c6+/sLaleBlnLxr4laD53C7Q9OIX0EQd8SnrWgc0SQ3BiNhWuIDMLcH9v6Bp f7ZmFmX2arWmnaJ5/bLn3+DR4xYMHXNzTk9JLNy+/Om+pUITZyiOJvlwT7kw 0wwFw41vpTM9pgT0HpHqQOqt2Peh6D2Se98jyFv57CmL9pw7YQavtV3x+DO7 hZ6mUjAG8pvZJeDhXpp5cP5h1AYrHm+tv6b5sh2199K9r1sKM7P6rLm1zW7h QQoMg4ZTsgs82BH0DbtwPB4/bDnjnAlbTzhF8Zidf+AhgzY2vOLf8RA09Otk 0HCN+Ncuvs7+EAqq9evZ+Qcc/PHGxlfp17/fcua5P289/uTdooKuIJYCj0+u N9dT2Zdw20NTys36e8W2ovT0XmtatUuUc/feXX/l9Qu277t/ZGv7lBEhYgaI Uxyhy+V/Sd2F+JEbqf9ElpLxFTV21FJk95s7Zgpg7lzR7VlF9pk1rdszgLIj q0qVQJu4nBhLfpPtkG0Se0duJErugySIC94eTdFN9vmLlwz4VNG8b+VD3blX NXvinN1Dk5hAfZVdoZlaApp+rT1O385sILHYZP41e4nf93zdsr5vAuTo+cPH Ke435vQR84kPtnu4Ex/w2SFDdo17Wgm4l/sn7lJSb7E5ZviCcR73e1c+/CRA qs/5bbbifsHidwZz79xFHwzdPdxJhvJZFq/juF++MzzLRaNIxph9NhaH8z5Y /GWVEpjXY4z5AP7Vy156e/cwpnSQz2ZnJ2N8Yxwncrj2h3pq+xU2lnuc3l7f tNniHXvvG8dpr7njpwfBKxVOHnzAieCcz7LYvVOcWAazP+wR8L6ix2nE5vMu /D3v2OPjOKXPnrYUCI/l3vNQ6XDy4ANO5JrT0ty9XeGUbSBmgj2/HifwGbn5 3Av8R+W/eFLPr73lrkgZPVtGnFhxqV27dDixUcB+he3pHie0Nl5cHKf52/er g0bffZzw4ljFKQ1O9oedO7SO8DjhHGPf4zj9kXdMva821b9493EiC0PCsJQ4 YUXY0eF7r+AD8fT9qx7sas2R3Ptu85nnYYHlX7XcvcuWvvYh9Kw15+eZDs9O ZcST7M6ll5YaT/atsuHW43nIvO8kQr1lec+XFE98lJn5Bx8m/3INE1JrzPl1 NrzHszO2HXrEbqFKeMeKZSlR/fn4rSezP9ijetrCQaIoL13y5ieKav91zW8j PoqhmtZq+ZOiCpbs2GufHUUpqQQgjrQd/9XnUiwJzRGSUmLJnkh2Rngsr1j6 8vs8fdLCwd8rligQ7mXMnrpUsYTIKEF9/rzFH3y5Cyx3QlVSgGQwS8Q3JXIq PmxumrPZXNsD3b78qb48RyZAMUX9cm/vueOmJVxiJH2PWTNX5hZUq/7+hiuu rTZnYja/f2DVA112gWxGHFn5IY6Edk895RGd86+E7W/tL/v0PLqP5t77cCCi R1cDoqPmjxiv6F6w5F2xxy+ubdGKO4u2770ffnCZ0SWDBkYs+pYC3aceNY+i mDy6hJHkVpz4uHtwLhBOXzToa0W39fLuwq0MhTtfbrrg0mnbDjuyVOiSf9Wf RYscugMGlISu77zEKr37uf9Z8yy6veKk7AXaROq9DVdeN2/7/gfEcQbXIHUe 54dWdZT6l0rZf84X1brmtjYEWaXC2Wch5IdEMWgFx7gknKMXWr1p2Bsi3YkU ZzIiKPs4zrBDoKnDOQMlu3THnntrONRu5eM9eYZA1cndfWVAfPBghzhV66VA 3HxuL/sVOtIo4lgCLEIccUnEWTCWKZ5TxMdtPem0MVtOOVMRVyY6Z9GHw8qO ODl0cBs3rnSIj7KX/Ur99xcPUcQ3FVaoMHXb4UfFEa+c/cc849Nsijj6N7gK 9o+ampuXP9Ov7IiT/AU3yihKg/hke9mvXNVv6buKeF5RRkaIx91WZFmm7La6 7f3yL2dGUtAw5DHE7/O+YObsv5bwLDmOsiOvdaPstysN8ovsZb9C9yRFfntR atpTq++6L448+qXv2pvvjCN/5PyRslTUPOfZV9QZWltQuepLa29qFTlD95YB +bfecsizj6U0yG+yl/0KPXYSvhdpxexJCwJ7uFgkBeM3YP3VN8aRv2ppv3d5 7sSFX/ygyJP2/HzjxZftHvIaFbB+8U/kU+LIq0GlJ8RTd612lPatErGRvHbb 8qdf0AFMt27QZxsvaRIfQIeVj0oSsuacX2bpAHDhg4bybl/DJW98DCteuPjt z92gbtjpoNL/MSjWezUmnLvL8dDWh5478fHUW/DlaF5ruqzfOzoeFNK3m8+q Hx9P7zW3t0Vs4q716+uuaylJ3JjPhbu7rrByFcRma1FGZtXsiXPduK4vw7io tq9cubTjCmm/2LjwonitweJ3B+u4vtl89vnB7fbj+mhD46YkyOLjQg0UmJQU /B0dF/MNvPfWXykLT/evfKDrzsf1OP8tF6VH/jlC3AX8y+IjjDug6vbGx6Ve ogiGH9enGy+9HB6Mj+unrSef/uOW086OjyuJJ/24/tx29HGrCqrXYN7QDqKn dzquLrHRxO/z76uuMuqI4o2wUGpMqWVteGPT+Pdj846Pj5VQhNcOmvfDHzpW UgY4cvGxzsmvc9AHGy6/Jj5WEvi8e8T8r39Wb4UEZIEplzIr/6BDuUNYGDys kob7RJhG8ZvTvAvNEqM+Iv/N3uXw3m9hWtAnJz48zSHhSuvwrK/aGvGJD4+o FscqPjzURbD93syqs3P3iq69ufN4bofOhaZcuSrZv3sRvG5nrPov+bvGjaOH tdayONPq65ddFh/zix1Mh7WVC6rGx9x1dbsHUA0iWn7MGDPETf7l85rgDHhy mepaJGWr/Jg1X3jsgq9+Ktkn2umYY+n1f46UxT52I+xspO5ZHWkXGl6wpfLv WSt0pMzkmoIqPgfv7qm7nDV7ymIdKQwq4O1IdKS6ZtJmxRO9dKQ919zRgfxd 6uwZOdxRDxH3decjfXIn42NsPo1fivF1eNEQ+iRq/Dpnto5v4IbLrg6K04/v 7hVdegNKchh+fOcvfu+LoIj9+FJmzVgOZ8INfnwpwzadf0lwJstF7sor65rd Eln8a8swRorp9d+7HmML+q7Yjxz63fzfdIwYwV/z6p0YH2PLnGf6B6VUtQRl 412ylQU1ar667gZnbN0CrigelHV8jDgEIbdX5jFS6NGkSWnH2JguGvYjp366 8BsdY1J+zI8RZwBQrIbqGHVVQbSJHyPKc/DGixrHtRVJFpIt4qKmRAZKla46 PvvM/Wlq99VtOl2y5K1BbtznlGHclGKqOd31uM0vhox6gq6OOu6kXKUfN7gA 6qxFHw3XcaN50cDOXLp7rOeN33riqfFxs2LBuy1yer2s4+6x+o57cNdFZt24 UydvO/JYnkOWD5v/7a8y9LPLMHQMaxmG7usI6DCpQ8fAkJWID50hA0qmww/9 ww1NrsG2xoee5C/5oePD8u6Ziz4eoUO/dXmPF7l38Lzvf1dfQ1kIJx4W+X6L DXp3a/yabCnF+Gk2ZD9CH0kdPwYohHp+/LrwL36wH/+oLaefQ9AdH3+/tc1v D3lGP35Z2rbvsnRRooH24++/tvlt24rS0itl/7nA+jD7WtZILfv4KW4qw/hp oWU/QhNB7cGqMXrHlZ27+aanKagz7t2U0/sVHT8iG+IaP37MUDDW1SKabCis qA3I5b/qjDTLee41P/50lgyGbmpwKf/quKpzN35PoZWQ4KxdkIAKT/2hcILK 312QwK+g0nGStqLyAdffMYRxpD6VBGp1sWJKAqY6BMyeBHYIlxhNjVaLLMVv ecedGCeBxroPrrr/CbXideaNnsQ9WIY7+C1Gw8lS0UG9En4oR/Arcv8MIvzo 6b0p22ljo1dmF0/Kd70lhce9aW8+Kf0/D/t2/q+ackCn87sncts/qALTNbfd A9w7asHICUoF6ho+2djINeH2th4fiOR83A6qDRX7Ui56LthLocSZZaAEs/74 46XliLADMUYTXUmXQNxpe1dP3LWLFAjS0dKTQ5co71rR9Vklx5VL+8tSqMRl nhzEy8TNcXJM3nbUsSoDSg508ebCrPLEJ0oO4rege8pEDgoDo8qh0pAjbH+K kYPlKF47ZeFn33pypOXnVUwr7PNAOWkT52smNbGTxFKeJui+QFIvULiG3CMW VYHC/QlLrtUj3RtcL08TljsxxbiPak5rz5nwN+V9pOhkmZbbB5WSVBRelY1U dMZj4SxOKhJsvIY1V1IV5O6ZsnDE3QdIUzlLqo6dV3ZTUuEJ83z9xe8PUVKp uqQmQkkFKwWT5ElFnixUNHk2I5ZC/YqUed2j6QrxUj2pIClml/vWtF/976TS 9SKlUf/+PtgtiUjUHMeI1Nq0piQsTiS1kcyXVznptCc38w9KmL+bS10l7Yjp fubpdO2yFyThKGs6nk68HiIjT6fLl77yfmBVT6cnV9/dkbGKSFVL1vkitinJ LCpujzdTmnbAPFovvhZLXsAReh1YStaifQaUoXptZ1RzzwaqPWQeos10nGok mXkNzlaqNXl16Qdmat2EWXPVeQK6vqlPq92KJRA6PVl/s3KmVIOCRpc9PNU0 fpN7nmoXLXlbti7JsqSnGr57mAVPtUl5R9XFsSK5pPGQOJVloZouXbH3ppRU o1enL/RXqlFgFlx2R7UMuqeb8WclTMElzpGgfSwrSGPnTVG/sEuuS06IfvFO AXo5lBT4MgPc+nzrx0kSw5NOE9YnLPhilJJOSUyorvofeM+tvfXumK7LgLkI F4dZx4I7FbInLwxJn92i38CBpaYfrT11Jc3Tj7zu8h01a8fp93HjjVdtHXdR VkiLfGcvX2Gk9MNRQlhi76Ww0kYZZpx+hF0Lt++zX9yp0tVFEcRqkV2k1CBu P//adsTRxe2n5rAlheJtxditp5wRlniEhgeUkoYzZpSZhoPtZT9S78sFo5WG uEGhdMLTkNbBy3+5ci8XttsfbxykSNrTkGqAECq791LJ7c6d2ORA1sBpJu8X lrWOM05GiSgttnhYSkYqmnA74mT8YtNFjULK2JMRvaguuZIRUSJSZdUr4Rgi hVrD1iu6PxeRNr2UpJ061ZGWXUSlJC3dSBO+d54nLWn8YlmZVDJv0pd82Ql7 UlTtox9aJdEcWB7y0Q/Be/CsvPM7cf3JJ5gfLkhoa3MOdVHn9+/8Qw4Py06e zFr9IOnJf3F+IR9eoGgUT2YiqpDB9mRusvTVD1RhqrnWaJk/dsgNSkVpX6cU KM1iaSkp7ddJm/Zb9o5S+pet9U6C2nFKH/DjvEk8Z5ZefAw1bZ7SHBfBqRZx Sk/ZduQxMFqc0jOnX3KY+eOkBBPLPkdxwz2lk1Yn/UjRs+jbuP6AmqRV5H5a ssMj+QZP6bnb6xxYPN2madO46aJCh3v4odO2HX4UMyZ+Kr9O2wXFvSjL/toS KO5KN0s+r7RcfDb8/aR7xWZoib0s5TnFQ2cIFYPKiM8QJ37IDC3oditf0kyA 9crQIPEZytlRa0+859gMpa8Z3qJ63rKDZdMzDaBp3c3JOF5BaT0buWxV8pZg meQC45OkCQWJbD0RtUJWfAkvNlQpY3Qfzu34qIoNRiQYDb94g/dqJMn00XBy beSPMdhlmiS2F0FYttPFJmmn5depxdZ+ZDXPbLaXpS/toLMiOmI1Y9OQ1bP1 6g4yDWt6P+S+yuYn++PrbTg2RucBLn969Z33xt7PqD1hzt9F/drvYbZWl94u clyAfY+DW9RaqLqXpKOfDCw3Ois+GZqEl5DDE0sXHiRD4ydDE6A8r5Px9eZz GkzadnTd+GQw2dakuHv2z+gtp55F8n63JoP/l2Yy/q3w3EuKv8eBDj3vWNNB EHFuYAplSSEY91PE8TzS/L7wlf4OF9x2+8OZSFql46c4aUXKG3SO+THdH0+4 on77s9FsZLfviy3WttYpUtILSb1Bx4H5M+/oule8vPT90wct+tob9DtWdO/D o3XmjZ6ks5RUT+NnSS0DpZg6S5qmjlsaya3Z51hoVP0n29+Mr/XzBh2diVGX YGlVKWdPG5iWYvZkVsrtYs7CHqKY86h11xK3uHtZX5+zuYEcJSJdeIHj2zb+ YSgISnC+kc7ZofO/+y14Q37OOEpuR+c+fq84HeysL3uRuYickM4Z4mQ0oveG i8g7P3fvdD0ogLlXw6VmXgjoDReOayjJ8THXG+uva4GjH3cRNFFOUZROHJFn cU9MVz8lQetdhG65be/XiB7xK+3caQkVLRFic1fSNoOStneUZKP8c1pUHJ9F TflIztPPopxowNEXoTEGHov92WAvS2FOk9JZ1HJfCQ3c+5m4GvOffvMg967v 22wDaCSfcwS9XsWo8IgsuHr79v6su6412zISnD0y51BzKEdGVfste07FyDOm 0ijuhGBlQyLczyWeN0FGfC4VU9w5nUvWNYND7+cSPmERRkyGd0IQdJwaAkRc VHVSVpZxTj0d/83j83OFy/bDGVvOic+VGhThMs/5nMIi58iEb/z6q/IADkUo KcpMdmZPXvj5d6ppOU9JDoV5+9OGDgZtM0yoh+SsPzWGr6674ZY1BVWqxp2S nwY+5fqMLNn4t5xSYN9p/eSK5/yksSIVSij9pCWFR1UiwodNAmmRAxI0rJ80 KmKKb26gvjQwhreDUv1s36UqB2VFDECEWtpJo6lY2SaNvIWoqtikqf9KztaP Pp2DI8X76GsvadwIrNGj/bxx/pjsUIzNm2oi0Tp+3o4cOX+CgPn2204OBPtr 7Q+nTNj7nAuj80aoH3YYeSeGuGxD+3cru3fnzuU8B07/+uKiTY00H4r3N2Xb EcfEfVjdGcR2MYZSObJUwan080zU8PK6G2+NC6cqftlE5IUTh5VPyZYtvxyD YMZLarXq/fgFQ35U68gyDmlCHN/E5FJOLMmDMk7szeZmWp/GJ1Z9B9lR5ul6 /JAFEhFL0kEar7ioQ73868x1sukyNrFsPeEx8koeTBr7ygXMvF88qiNHJmJR c7/ma293LOBg4FH+nX/w4bFJyjxp8MLvTcORCfc+Xb7sz73mXrKYVJOXT/ac eq9p1VZ1Civ/hYWp5TZX3F4enc2JhWpNGy95baDz9D8eoZOMQIaUVLGqC9I/ OsmaW5dqEy/MTCb32A6iGpgsJcuY5Im9NU0jqlheUEvao/+ed2w9yXlMKuOE 07xtZxNOB97YhFtKsTQZn3Ct7hP+8xOOQyMzxRFsojaB9fHHOuH3m/vZHh6f cK0Vik1WGo3COWTF5P89xYH45BOdcPYrc05ffMJRqSz2xyecJGrhaRPLKc/J SH+wl0Xv0jeXfKJnfPpFTVnM8Aq8/ZLu0q5qR51lqZzDxCstn8npVzHZLY3X wlkP+biwrOznHI8KT14qKvyc1/Frqp9sbHilzjmGnwhRsuBegRNBhgojr8CB Q5oi1/LXiM3nXlho9iiHcdjptOuyiDqfoRa6pAl3zBEmvLu9aO42Y3aOTrh6 muL9+fkiHSgTTg+FkNJ9+22dcI51s7/ec8LcGTrhOJZBPPyEs/ArB77GtvOG XMAd5g5OIopPOKQODqufcI6m/LvxPN8hmJZf9meL2aIBlp/wRktel7r2MxZ9 MlIn/I0P3r9JXvv595fIXHDO5HdnbjnPTzhlXaGOwk84y8tMmqx2+AmnPImJ c2Ny96gr/i3vuBPkXz4mYhKDtfcTzuoJ8CRO8hqfGgyjuWJ7h+wHLjRMlPhz F8JO0zp+tCUBc1PKued4LDtpnOmoc68rNVIt5+ee9C5HvMm5adKXwy0i6bwN tZe6S37ucUyLOaxpHNP4N4fhSftSQPTunSjGP3T7URj4xzzXeVWnxxUGZ0dv qGwqm47rb3cwnn8+XpnMAaFx/tHoVVY7fLC1+Krf93fvDpOzUeSQKfttzrnV YCupKt5/W5fgnun5e/uPG2246uH7Vj2q5oEIN6yOeM4hoA6i7TmHWWf2ZaOG VxWYFOCyWuNVRSarOMt31KpNEksCOHsXboAr2DTthCq1/crHeuBS4s9TK/HV LnjF1z8HXqFBZil5hXOuLJE42Vx5RStHZc+b5xWqOjgq0MHVie7ZU+f5d3tZ MHJUS2akAqksiElTOupITidnVV9+aDL16KMKxmfgL3hn8WAFo24YHqNOGWcM i9b62F4C4rHHAst1Mp2wUXhzyi54AJBYEhZe3QiMfZYlVF0JNtbTJEfDmcMV ItNULOmZrobf1B+dkIDFotLhkZVPe3Wj6+uSKEuPrGSozvNMo2Uc4nt4pmH1 lKhMSua8fdFyOXFEvbphBTS/KC0tM3vqYi35InvOc1bVSRu0zzdeclmirKyj /WFKwTp+jz1JJWWdEpyBdM4Ek9PWIgQS7CbR+Yp37/FzzgrSkE0XNoyzDhwq c07trPzQM6ZdOwXDcYb21xxJrWCSdhF61uGoagHDSX3SBK5t28A6vmRV9p15 1klqG+ADBrKiOzJ3pLpUXBgJJ3xOOXLbMXFFhbLD9yN7rIqq6ddj3hEiPP7e ARz6xnF9nPtdYXL2QlVUusc05pylav05PSyIcX2cqQkhsWTeasEKQUd5q0WR OO6MeOaejdA5GlOq1bKhtER4Nl45hDtvrLuuhdF87p6RXpS/8ee1UrJY795l ZrFYywRlMcKvsPDrWUzMj2R49IeWR50767xaA8f+Kgye8gZzytzGWeyy15Z+ KLzBiXzyQwOrli19RpjDgcMCn8cmae+YZ7GXblrbSvIPcqohfaOvuy6wGEcE 209wmqjySFLywM/1nyeaE8dymqZ032vdWl9/zjxXfAW93sIvJeSQfaeexYZd uvpiU7RHwuQ/6QrVxpvxKDZpP1UhWSnG1TwVBcCa8NQHp7AWk1utoMYBo+ZN 8uYwaaHbsxqcDYcLW3lWY8kxyK9nNewYSw9SkOBZDTbFMaMBDneQFhbrhRo+ UkJjslxB27gNhRUqibYsLcv17LlzlkuJJYlFG1i63tgn51WdWnb5hH3Jnj5y OCyHooYf2tjefbfnEM6gD/WPHoz2gYozGgdXCaNxLKj80OPyiis8mKSEiQej 2QKp+/WMxinGnBPrQNCHt0EDXb7gKHXO+3TGzsEgtRjWKB0qaTiJsizR017S c65Jk8Cs0+xl0URnKrf1sFMBHhRMKbPCjaSpzfo6VYxp0cK/znHBBAayU6V8 5ECGUgWft6k0a/J8mLXokR57kCjlZHgO4ZYyG8+sWdl/LaKEmXYAalM19ycc 4W2qlgZK/B0r+QtOa7Xk58QJ9RyK18U9MquaKSUu5B7/xy5TOcpi1qtlZMDC wlLrPF9ELoYsI3I5Q1WFH5XrNmqvXqZXmDD5Lr0LTcicU0saMq+ecoi80bUO z9qsI4kLHn5o6lm/vi4I32BuCJvKMiLRJ8slTk3Mw+O0WNPRXvJD081jjvFg vrzCXCHNs2NsmdRdxrMllQEyOnZTSF3kyScnYuqc7aWczqxsyftGl5o8W1KG LmyZd6kVkVNP1dc5lFiriTxbUp5CD4Q4W3Zpl/uAWbx/wvzU4kAZyFf2su+9 3XR9M2VLVf8Sy3pCasFa3z+63fkBx9Tb+OXYrxb85HWorrdI6OLnUlO78Spv PED0ZXxTL+lBqCU7mJ0OzdQ6uu+2uE20+MtwKfUUhBt++YY8CVlr1PIB836c 9PhOGTitJAZ2z83bNfdyKLJ9/LF7ch9SNmFraLFAIIWKb/XmIu5lsyNdeSLu 5YjxkGL03JvUtckTndKOKfVMvWg0nOtwwgnKvV1NVxJSEhR4tCgADwtknnsb vb7kI0HrFeNrKV3jIgXTxXQBDKeKKxhN6csGB6+Y8RIkHcKh1XKmxd57q2Lm MGK8vbgEkKAotn8vlXVHDlF3/af33FMJssVs2ZxVWF4cEc/8yF+oUfGvI4ec 775lwoXlTeHpyvzvtTQtiY4kIC+fbFqOXjBinGZUtm2pkl404aw9RJQtQTAn B38/73cf4rAFIfiXfko19Rnf1QFm5IrE6qRFHjU9BMRfdUNO5e9EWmR+M2dP Xewzp7pKQNWtauSWOb36M1gUD3+gG27LY6Vk6IcfLh1D+35t4QC8GAOSQWCF Jj56YgbhnFFmVMTQtAcvtkfmPnMfFbRxeHXnO2MUs6nps44wR8jR6OGHM04O Plg58VN7adWA50RWE4tNSjqpdUEL5SU/7FxITVUwHHGtm/Q8mKSMqseGJdSv LjOXORAcDkVL1IICHdRrRhL8h38z/xflaSoBQ6rFY8PxvYINezxDd/Zt2zyY T62wszRPNkjBaDAtXOV5myyDgJnb5hL2KCkWC81C3Pxnb1vTRnmbhTXy+TFy Z5774eKhJrdmomhLxT0QJ/OT+WlNlYJqk47eVhex8a/i0BLLivPm6UDOBoYb M+XGM1E5062b8kzrNe29bqewweiarGcM3SUs96ol87XcS4lEhdIeWY30ut0y xAB4HNEgxcRSE5u5sAF4MF63H7Ng+DiqDH+2rjkl1LeVUhQeeqhMokDJ/MDL NlwdZ10WIdmdGxeFls/k9HfTY+ZGosAKVP36SaLQx15anOThaRmz7GPy8Di9 muPbzWMmyvJIJ76aNZPg/WUvC++aF5cNUGbGChJfxfDLID4T7Yytkp++fR0n rlkTYC2wl645ZiTPrhROelisF0buMz+aSFm+PMCydADW3V1W9Fa2pqgplCt6 6ejw6MqnlW4m1u1QwfjKXylP9WB082w8/MTZI6VgCl96wfh0oKIyqoFpkJ9W lCb9l7z1wDUm0RgXEVqLbXnuMXdOjBxsY3++sJf9PskxLyJary8dQb3lyPm5 0Z5m1hGJpfuafSW7bF9hR5y3HGQhyKhKlYT6jM5+pYLJ/qPnTibcB0O/EMte Nxa6HbO7e8QBfJntoGpE8HZ+z6t7PMkQlFiod31FwoTxW0841RuRDPLHGBEb /1IPl8bvcVMkJ+vXYjNn/7V4/3ljJkuu45IyiBTHYJdSpFgMC103vAhgL19b d/3NcZFiQU1cWetQRCLA+VuuCDdRzLele6jC0850jZe+PlDhYcqF1d4170bw aLDsGkeGe778UPIGXgyodJUwLCZSP5625ezkHJ+y75w56vjQnuHVG3z5RjHc 8EgVFrMvuI1xXaDdyZHA+uMPhYWVeOeq9TfEYcFF6GspvPP6mgIuvCAHhzNT gTNqlA5vk9lEtDnivE0XqUixuYtUvuQzPIOGAPcpe4XOqT/9pGC62cti3N4K sILh9ZD485JJCZ6M7PshbY1fx1ZKj2xoGlLgYhVKtkomLQuAgduvkklgVPRg b3ci0ppVs9hz+2Yr0wq4d3Zb8WyFaJKCi+KJsXDTQfsXbqharjClqByP56UX SVWhl8xTF34qA7tn5SNPaRhG0gZjo/WmEspXSdY90lnLi6Xl25YQT7ZR+TUP 4PEcSR2Wn/D1qPPk3hvrrr2pZqQESGVuLsoqz69m5h98KFVYF5dS8mhGWAbJ MzYQDbUtnoNQHNIwOiZ5b12zvvnyvcxeSVIhMa2Hp/f8SQBSEujh6cqS1Il7 eBcPWCKOmxlrxkbw9LjGLVuUwylcKc7hSS1HvbSsqmVqscIaUUfb21ne8rDI EbGKFoelfYdisXsGHo3gts5e8vPrrw7WyJEK64urzFXFAzKkl+dkg7OHhf4W o93MNHOw5s51sN59V2Hl1jQ1t2QWOm732gVngnYJccNIJ1jBi261UvUAnLfe im07X7T39v2G198cpFir4yRy8OJHn3KK8EzBnFkKIkyB9QH5xLdnbT5fxY9w uZgHW77qxOw5sMPMW3450sGgKZ/9KTSF31xiLmE4KFcPQvuiyTZvL8GAyO3w jjuppsvERixYZR9mDsONuKtrkGDy3OQOpd2hl2BOM8jbUjXzpzPXn741oyhz /n7bD2D7iJNg2YDI2jRRFFbLCyWeIwvuUlXobSV1Muzt5H7tuT//7Z3Qbzef fT52kQJQlV/CbbYm4oiSSvvOxn50agD/jzZc1tTnaQkXfthyxrnkIVidarm8 V//EMbsQXo7f4IceA2UR3lvNrSGG9oKle8rj3d6+qr/p4j9OMiclCy8d3N2R ruHeKnuhwB9b2UPfLakHCdMjjLjELIngsYEQHHNylLHHnGfOC5uci+EneQJ/ j7IKgfeSeSmCp0L39ddhN0Z7057yHVZ9FD8im7Aw5YVu8lHbjnVlGPozf77x FR0BVg/TA1bDc1VY1HzxHP6cwmrzxAppom6eNE86WJyEwXES3bsnYvkQntl7 3NxpKsAwYLHgOJ3qTynEkR8OKOEoigcfjO1GJXCr+cucWQpGN4jVierT06lE EJSoKpCUKscU3XOPB4PTu6paQQ0JHz0YxCDsV/Z6gPhQqpOm5E90Z1ndd1/U jt4sIzxnC6LqAa0XiqFSnpnAcdu+78o0R5VechCOyTN5BMrAv63H8hc8CN11 KUcj+HJH0Pyz45C6gF5789Bq1ks5ck11U50RsjM5dfqsHA1jtUxN+iv6/CTl ZEVF5fb4+pa/Glj1ty8pUTwAwqVEzNtmjUeKZZw6SKPsiQU0/F1cZsmJ+XzN xxsbXcl3pBGS859T8T4ot+Q+xTd+7QY/SXMw0/MPFW3I36UEwuuEOnN/nGwj uccpBZiw9cRTz1k0cJh+aqc6oUqV3dMJ8do0L1+6KUH6THte//1kczLdk5N1 Ah/j8LjYPb9o+PSdq+/Vd3Wnd/wbhP/bMkwGz0fwtERv1qwgK9ZJW1Z7x17x d5O21Ph753y4aJgw+XfmuwhedraD9/77AZ4/SOvAUfO0glZKLkKvIC/H8w42 B5NFjajNmXbAeuSRAMs3XJWeRcV6T5FziI9VYrqNZmOEG0qcHGeMdn5/H23l FZ6WQ0spjYfH/j6NniN4nAbUqFFJ8Fo9ufx5lWxCpJAz9QoCZ00KMugGKj/0 5WrQQIf5pb0sGPxwBaP7eSW/5MCkEoOyO/Nta2Z4sxzZC4XxhHkClCkfUWeD Evpiibe0EMzTPVhY9cILw8FrNqpCTReUMyn0JfBgtLVRrD1m1ivN1t1iUnck zIZaGabgBjeLZJWvs5cFL1bGKwk6a5FBirl0WeSzBrec3dhsT0ts7/tAmjna HK0lK6yxHTViwXh9n7UTVhzE2fdKhp7A4DTlsQ+OoaqOHUcfXL7hWspxVclo NuupNXff55VMxl5zxk1jUQVFs8/sn6dyEMOF7yz5nP0SvhV4Fi4o7329+dwG 1oWUgjh8FTmtxt6nmEQzYXT40lO1WIfTv5O4wMmqXAalYiOGUisVf5KIJPw9 0+rmmHgX02X7mH3Mbea2ZKXCSZ5V9CxF+S9pdFk/iikBdG2xdYgU0mxzDzGH JMP76itTLA7GmBvtSODfRdcbTcr4e2zjFG5caBZG8LTk74UXArzx9rLPNX5t yUAdW1JxrrqUv/qK/2fNs+FdmRJ3alkiFmBjCslflFh5mRYpZVfuEB8vuQ3O d05WykTJ71+xISwDq5KPL/mGiGGBWRDB49BpV1apONOZvnj+hZRh6Gbqx1tt 4pxslPzrNtKK4LEwU6tWEn4FpmDe/tsPYNG1+Mp9TJFmvNBy7R2iSO18OMak Cy2uSH6U31lv1pOWtiFJfYVF1izkODwsVvDXVTVVCT8cLE6S5RzTrVsDLKv5 aBOPglStxSIiG4Ni85COAyx0sx6ZExaObN6yRcE0sZdmRT0YhsV0Uk7iwVRA 63x2ycYmotsnXLOPKapZw8gh3/bHogK6Fp2Uy15d+mG8EQRDkxVc72WhHKce ufUoM+3YxI65R6Sac3ecaeqaupRhAHvGoduOyPore5EDkcqSKtkKzCCOn2eG K3/8/t3C7Rnltn1+Q3pCMh+JFLYNLLbCSIMTv5ibqvXRNKTHWrmYSGo2WSvk Vx+O7nINc4sMswLX+PUlH7ncf3mWgHlk8fa99pFyKnu39pyfZ7K2S6C9oyg1 FdWhncv+05oq3lvDDzypzZS/h+MakulBcsn8lQt8zX/JAIcaFP9u0hEd/h5Z P7LKyZI7ZozTLGPGhG/4zCQr4fpuUh8rfw/JkEVHG1BH8DgNFfyeeCLAsy4I LPDIfbmPlJgf8ZIb8i0/mh+j8dIN2bsY/p51zfZcsO/2eN5BQiz6ycfhkdeQ 4KGr6RrB43BNCr0ieB81M81w9yRkK7YUxLzoPaTbbTGN04+Gc0hwUVH4hj/o QWKktMilwhhK9YG/h2jKeP80f0bw+vUzuiih8NirpfPh6Ud0T/FofLz1hi4Y TcUup55H8L74whTLMYn1s/Bu6ZkTXO2bc57pVzysHHLhpoai+Wa7w9Oizb3f fhtgdTKdSLee+MXC0HeawlhKxSTz7GGxPQlYw1BLUsSuBw18/nnwtaxGxt1n FwGrnLFCVTx5qbjwyo96EtFYso3thx8cqIEDFdIIMwIbsKJGQS0at3pIdXz5 NqGWh1SRX7O/SjytfkMvcpA49dzIvm1zsb0ssX6tl3cScXhmxG84YLIpzqtS uvFvTytKK+rSzeV8nx3dWNLQjU1jkLU+ZDkCWon6fCs56F1g5YWFkygPlF7l jznzRp294eyCSSe6XTVNB8vuYq8SCdKl0FKcMwdJe0IxOLjNQcpqM6dPr4Jt WSn5Cw9Jy993pazxWM8wk+bo35yz+fw61q9Xk7XzbS3kYZI6d5dUHOWlSrWc X4MS79tzvG4IIX+t9+hnIFLQz/SLpFSLsayN1XtXmitxg+NSX1KrG6n742S2 JCnV49+++irA83XwkgX27+oaR7zg56eTt57uijsijeGWMzlmN7rHkmvY4qy+ SLwfjIcnm6VYoNhgNkTwWHLl+NTYN443x6O9ZFuQf5c9icU3F1/49uLPQxAa 4KlWisF7x172ubrDFowNXTtX39EB/KRwKaY1JUi2QXoET48uXrw43IsHeh6e NruVIN7fo5vLkv3MfiVbne8inFeb1Ui+tOT0moSVxtDWzuP30WUbmrqVGfN9 BI8Trov5xyvMCpIMrCspPArzeE4WjDy8a19YNkDgNTQNI3gE3iS+HnjAw0tl vsjb4FNgKfzwdF1VstcOZCZTRoWChBockSY/5NI4V61ZM4W4zqwjNYooEhV4 iOwToA5Cui979dm50yo5uE/2iskPZpYTv+vXDwjONDNxuGFEnH4/ZoL4sJPJ I8j2XeZFViRk/yDgKGzluPWiIlWj1lEhipx6+Laj8O/SozgcN5KKdA+xMhmy /s3XiV0hQjBj8r5xqVugbneL95RLtjFt0IVosH3Hzv3Ll4mg+mZsO+TwgqKU lOMXfvmjg1rp3A8WDaWSEaiLGmTXMQXlM0zh0UfK/FBw/oB5QLa62N8PO3/T JVIq5ZUZSRFCT7oVeywrVf4jex4aGL4wp/2aKNpafg8z/5Sa5oq8S6QPDvSw sFh3f/Pa9TfJXrqd9y1J9gJpvvyvXqBToEE/jrWXbqDx39Ctq4TJeo/uYTL1 n5vPI3l88UXH7+vXh3vtTDvK3uO6kFLY0BVNT+KxNBB4vU3vCN6sWWpCwz1/ tp+Uv6vuih+x5e+xMmTutFeSfuQkN18e6O99frW5OqxGeVyohjFav+Th4XVI RVUSPE6sT/baZEORxQ/PQt+lmJ2QIP6NPreuaSP9u7aYLRG8/qGxS7jnu67R vkfh4UGz9TMOL1Q0JXmpo0YZv16t5ZWzD8w/hH2S8Xe1daV0A/T3Dv12nqxG movMRRG8NWscvOeeU3gcm5tbraB6xtTZ4XgzLa+UGNPfI22Ts7fZm1XqUOop Bza7k/XCN7qZbkiidKfz47UieMQMbf/m4Q2vv+mirVkmiw1XEX4NGjjJjsF7 zwhd5EyiWL6EKC9+JBtRg4zX+gcRPOJzVgi2bQv3LH2xf9L8RZOaa1qLvXoi t0NnDy+10etLPua5gTeaG/EsgwrnrGrSHLNnBw35i/kFfcaeZhSWx4iyULYs xDRFKuVvpJRlc4hVrAHqhx8WcyRSQZQVH9Q4Ki22r4ekpyxKufg0Cy0Pf8v4 rX112074+fJLB7Zv3wD2U/MpyxtYCLxhD1Zbl9yU01v7yWex1K8V1JJDZruX /NDQChq0a+dNW5o0/u5j+lCYygooR1JqMhW2ZB2TlAqZSX/0BjstsBaAf/dm czPxisMY0KyvYz3szxR7WS2EFQdzjBbcmlIGBWrtzz8VqOhPVZt/G3EXpc+O p4mmbSjn/sfi/QQz4V/dGN8oVMqs/LvsawltPjyT4DYJvEFmUARP3Y5XX1VR o3Qm7DxSli/hqD+CQ4FnI5hITMmBu47mcTENdcypyT5HPDgVF6u5aZ6sNu+9 Vw9MCvd8hVvr7sufi+9kJO8hze89vF9PM6eFNF+AN2yYG+/EiYozLrm4WLGx 0SWBtcX4PdJZ4ppvN9sjeIsXO3ivvx5oYE06DMTSu75LRpml7rgaocxJIkAq FwP99t3XmFtuScLZuomMl8YW+q6Ww0gY4u+FSkgrOxE8VOaBBybBs04bzC07 GnQurfuMQyR7NPy9swcuki0IpH0jeD16OKFZtSqIuVVZJGYQc3jQCwuZLDxf KQTwIEnkM2SyzRHI775zJBw6NNwjI2g/zR65qLHnhY3WF1SqnD7LktB9I9Va ztHklyj/wzqGWaHbGcVlnTsHkF65s8ahINmPE4yZB0l9KL2eJO3ytnk7gORo Twh53nkeZKoZZ8ahNsnr4lz6gWuDcWkE7qHizZLkEqj9Tf8wdjLONWoYs25d IKfVQfMPMgeh5u/qtuLZlCgwoWRItge7e2moeHUucU6SHQQWBJipH37w99JI gwgH2+c/abTxSllJ964BmocVfv5QOOVup7ERlhpPXvntVHMqvnb0CS1lDYv0 mZzKQdUOz9OH4aUWa1tJtgBo9omnd6I169Ytvdvp9/BKhWuxPS1SvObv3dJz +UtGK4MDyrpWmp0d7n1kZBsGIYW+i8kPzYw9t0h7auDZsDuCl5fn4D3zjHIa h30V1ydJh4v4e2HtNUle2UnilzX0G76TlKyC+Xe12Eu6a+jZSlrfkaSPtdhr 82a9R4QVloU8d+m+9/gZyZh6SZ49bB6O4E3xPVY++yzcswYTfSLT7N9lZZDW HfFvYONp34CbE8HD8BLm2zBV7xHO6fZID49IsviBnJRaBv0e4HFO9EknJdHP 6ifyY7K0EWtfS/JLliP8PeJd6d7G2nqA94Iva16+PNzrZDqRHEX6dGy0miyu j1ktxY0VqQzwfvvNwfv443DP+nQ4Jrj5Cu/8xe8NCfPhdQgh++hTt5wlrqx9 J4AkNkWHtGwZNFO+yZeezDV31CY75YuTaRDFqofsf/NQ8SLpOSeayXoGKmTm iiuM2W8/Kl+Ka2W8Im03hMBRQyzNdD1IkowMXphnlBkVQGrIN3asB5mFb4MK xTlr9MaSjwCA4aAtJ/Iiq8teQ1F7RqGijH+oGRrATpvmdoh06BDArjFrfjzf nA+2bJLHLAEWt5CuWrKv1YN9ptUaKXeSUqY3zBtpyk+sIJGfIAWwdq1jpqpk eMnGs6RDrNq13eoH9v5l1jRoQKxef9H7Q4B74uCFP8BQZLPXVjPVZNOK9ZUD 0pwkiHb+8EOPdAZ6QMZmkYYeX/QY2uiXaa1ON7kzxiaeKkFvMkNl0Zus5FvY pO9Uz1Fjgt2Ph9wPdVz1mOiRrWZrpOe0LHrq1HDPVzGSvguhm+9rKefKenih OGG1WR3JATLfuXOSnDYzzUKfMA+P9GjYA64HeHfzdXGLzKIIHj7TAQckwfMH ROEX6bslnbAdtuHZ8UTwyJ97O+HvkfgP4b+X06QTLzw8tnoKvBFmRARv3TpT LBw2w8ywQL9iJ+vITmEPr0WvHGmPyzbBMJdyTtjllxfXc/DNlxdsulTfZUEp lM/7bxCKCbwBZkAE7/77jcnKShJ3y+boJTk3zr9L6rb4aUBnfrxohMCzwhPB Uz33xRcBnk9PSIc8/y7b8wgxZSuEv0c5wD/HSwEey9+33KL33mhtWhPgHjVi /vh4c3y+e9yCYWMUHnubBd475p1EusK79VZ34FR+vscvkw3oxJO0EJGqPvu2 djIiYejBPXfr2rsFHJtJAziNfgcPDuDsdLDHDH8XEeBtlp1FSnP6vFYuUpaU hkuC5zPzWYBI/pZip7PP9gPOMKPNaNQ0ub3mz+a8osezxE4HSOU0NHSOqPOx ZmyGgmOFl94106d7BCuJPjjHnFNoEcQnGP7BCxcC7s6c7n1w+27qnfMyapzB inKcbqYnAjw6rHJKU9OmHr2KFEyr61fU+0FZQJrzVauD59TZftAU7Udsfyc2 e6VZmaGKFheKbAzg3njDnysrinawGfz9ZXkXFv19lFuO+uWdO0tShGx6LI0i 9LQlcSDGNqZUko4nja0Oi7scF7JYe+Bwz7eMlLxRsbyWHMkSgyfZGBN3WGi5 cWdy7tHX2UiLltjpEGELl7/HTlFZ9EtyWHD7K1RIgmdJSb6YBsH6Lnmt0NjE 32MPuvDNJrMpgqdLk6NHh3u9TC8mUw7N9FJBNT7PyWqiKltdJ1pr1kaCTDDf oUMSftbQYE8FPw9PO39KPyuNAK3iCA59gHfVVS7nH6OpD8Cl6Djm+gBPCrY9 PNZpZJ1ovVkfwdP+d9OmBXg5Jgd4zJ/CwzEh0SStkzw8TmqWXDKGM8CjkNkV IId795n7cCAp3Vd41LyGMxa8LLMIQ5G11GZtN9uDaiCV7FlafYdck0u4xeOS B7IAaAEqOQxPUvQ4cixp1SDHuoFj5EiPXjpRL2Qec6o79IBdCfhjKcnuQf+2 pm0EhqUhVhQPOyyogx1mx1B/Fs2fx2ytOzf/gAPZbqqdyM57f9GXZIM1BApL fZ18P9Znn/WgKqD4pLK+8obE9mV10tbMPb5a6ydznqPqh02xgJh0gjkBrziR qXQhAY1bfOqpqBgHKo1m2mPvmHmu2VwhwbkYZo+ihJbpEHWbF+zF/GUpOn36 OHQ6dvT6I9MsfVValm16t21FmljA47JixM4sqyTLKwY0gjnkEPf6gw+megyk vJbVBXv71zYnmRVrZ5bo3rk+FKXWaqRfQljnOZIUYPHzaODSf65OaMv6kCyQ 5gqMDK2g8GgGxXOyd9zDo3p82rHm2GStxkpH8uqJrnZIDYiHh9ccTmnw96gD EmomwevRw+GXl6f3YPVQM+R5M6l1iYdH2KfNGiJ4ehbOp5+Ge341S4q0UiL3 mJXHeFNOKvgCvCDlNJNo2jT+Dc6e++uIbUfHJDpFm2qxaqTwgPWTNcPJ8HCN sYcFBQG/SUaOJ5FDMsolu59S8+JxZvVkxZ5mz8FNTdPIP/n7bzdeG254b4Lm DITtkqa0b6rGZQUvrjJEg1O/FWQdgTo3HnZnmOVmObD06EHlE6mS9LBI14T0 c4D15psOL+uWqPp5yUjaZswpW8+IDv7u0tsrRbISZFhk88IysyxAQs8iOq1a +VFX0Ajw67Y/y/4/OVB6lttX2K3N6k7YsA9JOFv7mAjqh5GB0cyZHqPysuCA emk8PMHvZj3x1qH9b1x720wbDABDFslt8BBUBsdh0BPsxBM9KqmyTLL0/MME dKMRSRqHWjowKF/cAp1/vscgk6pIY+rVM9trVzPtc64RTcO2At612FXQySCb QiEGrzdvrtkA062bu3Xxxa6PgsWmsh+bpEoPc4jJlnls86BBrh6WII2BDBnS I6agsrIiBWU/VloFxdmb7JGKCydnLBdv7YF/qI2mIgU1aZJDcfhwFQgK3gZc vf7GuALQvUWcxxIv9/36UnNpsgI47TSXK4p9w2+qFAXg8SNnL52UYzjLdveb 7JUE7403HH7LloV7Uv5SJHkvxS+pmYeHh7Ca2+2VBG/VKqPlIHrPmiXcENkj 4uHRNozDZ+M0YMFK8gj3mnsjBcC57ycnK9WepifCLSUCXqHoRk3Ji3l4B/0w T86foDt9BO+ttxx+8+erQqEUOZQ32z+6p026wHpY5PRCzjPAIoFFtv7hh0Oo M9VMDQWXsThM3EuNHa2xE/fNumeRQrnnHseyVnGqQvHH0tDHGRWgcPyQqbjA itNALNIC2pz4pZc8muXR0aA0+KfOl5EykWI+CwF9y2ZQ8ZyHmqFBC7Ro4bpG 2ghTFQllgzfYq1+7RFF+xh4/NFp6bpf2uQ+gOsFQtoBYcQ4g2MWKFWjXzg8w w6w78+htOQdmyDYNe0kTrVPsZQOqRPD6lRkHDQoElYbtBIBHHimW7lt70QA1 z+QlKul7+NEkpb78MqxGSByKXnCbBKup2qBNA49zm95ddHqhJIH1K+5xdnte XnWFTPhOKrpSpYSUA3KPL+EezZqV6BlTLwm/zIp0lkG9IOIsscRFK+lENK8O 2P0qk5CkXqKz8VQ8kroleJYrqYZYsnt32StJfFnX8V3R9Rtr7GVHx24BhccG FODJLniPc6U/syWalG1KwR/4/HOH319/hW+0sZdbtvhZ4a3YUaNWOK3J36NG 22h1YhA5xO3RR+M4o57DeL1sQDtOQIrDoyOIwPvKfBXBc22jkmhgRdhodZ2H x47EcO66h0d1jsCjOiPA03Mdvv46iHF30x35k6jJvslZi6wverLRFEICJYLh oA0o8EDzBdcqjY0LWI6Kk2YvQHtKc3E92nvE/PHi7lA4GFSB1ktMmaIwzDaz TdpdZRVlfZvT6HzRwN4/IXOEa6qBapBlPH6/v8SBySIBg9Yxk49PrPz79Jok Dm/uufyltZULZMMBm+4ir0ADtWHDIipZR2NHxcy8QS0z1aMQfaC1TEEf3H67 S+7l5ARqakK36LVXcaPw4CBdSE4Q0LEORfH66tVBG+CHsGXO3a7mByK3WXWB rWjYxLZ5CiRhCcTcqtEaxVVBRkayKiAJUliYqKWfojJhwAA38CVLesUk32sI +7qev7hr9WBuMbfQMTOuHibm1T2BzlFx9SAJGjkTJq4e1BwMGBDY+1pzLfUy cVbWo/qkwUjxKokXzYuROLM5iJAhEhei99CwxItL0kFmqcWyt1+aLyN4Wor+ 448BP9rKanGwh4dVZ5Hi8aj4KOWqfkvfFXjW+4kYK7bLUuHdY+4hOyrFWx4e 2eXQ1tbT4Km7Vt8nTbdJIgV4Tz7p8Nu2TRmQdWvpoeC9BcI25iK2eKabuCMw WqzSr1/g46VmKbkU7ZpGwgMwHhs6/4koUcMQJJq1Ar//ViUac5iQjgz1yZtI qs3DoNxJxIr1iwBj6VKj+fx0LwXvmfeKUgv2KFhXI+Wj3KayhS3zr9mLKaMT Cn9gPojEmc5wSMu6dWF427KnCcx7+4aUhAZf8kR4l1IEJOvyy/27aUiYvJs/ 6VepL2JtJFTN4EZg+tu2DQuEknRlZYuNPTt2BEHGS8DjwHb548fkUXz9FNFC kSCzpIGZTySSBRkFYP8dBJnnEOSxY43Jzf3wvyrIVjlTGxEXZKZMdrvH7pE9 FbLTsjTY5bVrg18XW84NfUH8lCedK+PhhX4ASYKHkOy3X1xQqAtmmTYuyBwL aTQs8fBufma5HJxA2jyCN82xAHtKFD8rSLCBNLn08HQXojRp9/DCdmm6NgWJ QSlfdlkMvwxddqIymTc5/SdspY9JH/1+k6Uv1mVJpa+j6ahn4rC+qmdA62na 1rUWDrbhaiQ5JID9xgMvfdhttpbsPXH6dNItEnHFvHyJZqyBimBo4cmqVRph E0rn11qbpiduekpd/dIySWaytzYSILJTTZrERpdhRo2TGHnjzYMq/Xl0Xl0W +uS98835kR3VZhkffODfS3emzHL9hEUfUyhBdoNNN8Gl7t7dbSabOTNiQlIV hNynnZYIDnL79k7Afv01sjpawWO1eg2Ppvn4YwcP3UHqG7n2DF1bpxlhI/n2 8svI/mhH5CTfGnFr2LDUvrU2z4uvSCSdDJoaqVuhmlWFycMFZs+e4R5ZVvtc fAWBWvzQzd/Du/75ZW8IPOtLRjLC7lVfEqjwGpqGGyoWVorLnFYqx3Nt9GQX 42SDrAheTo7D7/XXNVpCZZPXVOOkhyLILmcPixJcqYhKkpF/hNkZlNshBJS3 8qY2g5YO6n7sFJ3pSRWR86odxH74Icibz1FCF7auGr/CpMfC2GhZ5G2emRfJ Cokc3wtRrZ0/cLVvv29lF+nVy156W8nGASaiRtqb9lESXDe7DB8erJ2Vx41X flOR+9dMe38Ab9/ZbUUfZFXSt5A4CFzr1sZUqyb+XRAcGzEWpabMPG39kbK7 lsqbT82nFfUVUlm4IddcE80U9xCcs89OVNN7ublufeWMMyKO0yY5Fl0nYJku KUf9Hp6rP+rNtGrlBKxt21pKH2JYglLWhskj9O2byN6JAFmbWGoB8luXpGbI MxDKUvpTxBg+1FyyNSgMG1mn15+JPFLfnlG2DvjZJ5GOUMbhhVqOzWZzBK9r V0eeomjZ0O8RlFN8PCdQv2g0f+PhseKiLe4ieFTKAO+pp1SA6DtMPkgFSE+Y EGGM1YOJt93OtIuY/rbbgkH1TE8ZjfYU1+13dNzyYMIpYvQ4C2BirYhUdgpN 4fJaBbXR7tpck3ShBzP9GHNMSMMH2YmFtd7OkJlc0+n1qrxO9V25yEzJEj7N moLYkDtBqXfrFvI38x9rbgpSEoWVN5Vj2R/WlzXcpPwNCtxHv0GznHJKOFiv alzbwL82rgu8r6JqbVQwLhSL8NyMGcn7zXCCzzwzUdPjJklWZIlnKaYBDnGr dds3lyAEvuFwqYVghJFCEen/68nOtileixcM0VL1n1qf3D5GMiYE8f2PHh6O e/H2nWwQkEK8JKZVF2L9+kA735/4rI8WDVch0HMr8G4UHhsUPvPdkqP5Yc29 Y0fHJJ6ePU1P5pf9SvGEKLs1FF96Z4bgIHCv9sa0Aqrca0NSvFSK6LVbFXs8 PRjy4BKj4PwFMORVYb8uXUKcgMGyn+s+s4usssopcn6odE0RVN4yb0UsrPWP wdPKRNCKXm67R/6WyulCFvt2l3arH5A460HzYODiI490LkqgUrqwzOpzj6Gp nexDp1xkupkelL5m+Rs2TDbPeDxPPhkpfRWQqOqWXYnOxmzdGil9llphHJas yFgSOaFdYPAJE4LSR2ZIN7JLn+XnvLzElhL4nVipLPzuC1mlit1PlO6nleJw z+/hgI5VZlU0bGD5EFz53R/W0O7xlT3jBVnhFLlYKmz8WeasZH5Xki2Kiubi dSueCTicPpy3F/NOgg8dmAtb6jcqaMmO36hAop03KTOlkNqjxX4NATPHzInA +LgV/kpLBoNYU6eLU0jRQLnIbIQy4sCmTKrHRgs4LfVxhv4Ye2s9aj79YD6/ eONlIinkJ8LrWuRiPW1V1ItO38eMrp+YZM0FbiPcLcVAFAcEFuf0i732SiY0 fIbUPfFExK80gjnjjBixUsgcuG/Onh0pavKViM2OHZGiJgzHy+/Y0Stqn7xD QbDhjBpVt94nfCnf1F3vcKyrEvRc+48zaZRXPS/I6SspyVFmfC80i0/iHiYN meH5vXl+eHSyD5uI/MzRKTIcNu2ZQva+6mLaP7LdU6cGchWYAiJNzmZUeP6w +ePivBocqOFmeMRkGCof7ymv+sU0gWff5MwA2ot7tDhXR7bSOl7wYKITvYMn vd1spwwY/QsIaVjiUQn1/darjTgt1pnck37IlebK7RPOSf1l48kn6dDY0ij6 lMYfwYvWvUavvhqZHTRaVpYZ0ukQzRlxMpjUvvJE4FTdLhrW61Lc3jruffdd xKkar2q9ezk8j5Dy0TLHAQMi/mT1B0958eIo5UPLDgziwQfTglU4z/H4PxXq jTeWXqHSPz/hN7h6Kic1yEqLnLGwYT+MlrDMH4/gmQoHLKxIe8rTHIsGPHGm YolPlve6mC4R5XXb0rhxqrkoNY/nNKmU5fCKkgqXA1OxJuD7anum4kQmPbSW BnusYqm8LN7f7P+pb7AXwZgwwaEycqS6qWhH9vpb+agby4dSQidrpvTUCzzJ YQ9+j5jaeBZv1ldJzPimtWylzZg6ewmbCeilRLlcYEkiMpRQ+/ZRKnLyZIfN J5/Ifkqq9UIqUutQ3normhj1djZvjthQ82CvvRalQ2bOdPf69InSIVrwgJGn bgItxDNt2zqmOva/wHWevJROyikPMS4pqdkRxUgTWYpN4jqk49zkPSpNTBNW iOLwQtYrxnWcb/HPQmNNQY0YEeylnWo6EivX0dCYxTHPMRzKEapYA8eQHsKz j7iOBD8L0SxgUTMGiGAJRs37U1B51bwaBUdUjvhsvJa5fGYv+9ym/MoVaILq R0fXLOQHty/SZu5sELzUkITTVEyblxPU9f1SL+8k+axFLVHRa6Nzzgm0UJcm OztiHGrEb09euZB1LB86JYVExdrZyykPJL+tLxIs7bx5rgwmkXB/XL68RN4i 2iN18K+8Va1afCIo2gs1LJ5a2n413mJGqhuvsFcSb6HN/F4nDTnamDbh+GP7 R88Lunflw0+qCsE9E6qON+MjvtIF8E8+CXzFKRP2ORakeZPdh2zT92DYNBS6 ygS+IrHrD8pQviIjasGcPHjBd+HcIM9XYYveNDMtUkdMgU93qC9nw5p1dXKr gCJRlKcUO6jl9TfNm/8sn7J+VQg7XCptVtvvj8CqypJ9H9MnJGk5d8lPTCAu sSaazcZggbmo8KPAwUQ+uSwNEk48+2yklXSj0/jxTuOwaY5RtW4dJWkx5sQa 9Fn0B7bVLcZQ1I+ii/6VoaokSTZVC2xgiDOUbk5jOVEZSoqOdJ04jJkQyvcs VIbqZXrFmUA3Csb78IdjvSnECQylzsqbbwaG8h1RT/ls4beVs/+Yx+9pUO3B SEWfby4fMVSXLs4fKSwMDLXcLGcWu3ebITEsp7goQ33YZMM10kCfKoDAUNg2 f06d2re2f5zOu4+Peush3iSowBuQsz0LTWFgJlW3YdU9LepvZpUV7bUIuYN9 098tWRJRlVIz7/IFTiKx5NV44CQNhaw6C5xEMMEMo9agKBlRuM0+IxxxyU5Y pkWLUrMMBz+FU/I8y2g/AilyirXlEJ+U1ZwwzejaYrXoXuDltCj75skLPxdP KdZfSFqaaO/wCBbI+zVVZRm/158iknj/4pQoWf1Pu6TSl5urdmn6oduO+O22 cSdwn3aJfpTsqBRuaW6aR/oj1sFA7dKSQRKrTWw28QTMI/6nfHagGRh52Ip9 r17JZTHVnc0JSTvdGTVoUGShqJ9wai+yUOywYao7d45YhCSg3+wQlKzuaOZZ /tx8s5v5S3fCGnffXXrWsBoCLzLOGhyWZIqtjdJa2eiWsjB4Kkk9PGWNP4yU EkpPZPumtoGIH0rN9rXQozCoAXAjbR3ZFbqV0llF12biNdDh7JNoQ0BKRKhg GFLpr1x45VBZvYZN/RDDjrakFXvahHjlGOyKb/JWcVOCfsW8Q9l1sCvkV70z ErTBWWc5pzDOErqJ/MwzI5bQfjxffx1pA97FcfHdSkJA2rSptyue+8lDfv+9 m+WG/wE2eNw8TpFFnA3oaEGlaDyYDxnEr00scY0pTwu7agWqb8zUsfPKbrxJ 8yRQkINcPCzZUqAeT2ADjPQ998TZgHagBEzaEUPOsE6JlvskWcEO7MAGGrdN mBDYgEZw1ufk/p5zJ8zwQySck9dJFQU24POePIENEPO99pLj7anopu48z+QJ G4jHGiafqipi5XvuieQcJqlXT//l/qvVIRs3RpP/9tsOb5KV/LCDmGS9jbvl 37eVMNHuwODST7Rfl5W+n54KL629qRX5s/hEh1X1v8xf0UTrHo0duraaznFH v9fNO563NGvNzriUSP9K+9VOplM0P+QMGFs0x2zoouSj/dKuPRSEzjGdR4Ib GmD8+adDZcgQzeft6PVwislPT2jGmkQ6k8tWmEiH66nhm2K1SwjrWWclCyzr mbWDK2eSQtv33ovmVhstW5KEuY1tn6ihDEToQB6RkIziXfKHbjHB14UnTyuz VpZp9RY5vlOW8C5sDUotlojONbnR+GMLJX5aOah7xiH5h/NWfEf1v1pld9pz 0rR6f/Ctafc1Dyf7loucDVlPgzWCI7dkidHsgaZpf2l+iJl/kGuOYd8Mm80J bsK0fvSRe2/mzGhYsYxxmFZ/XCfeW5jWTz919yZPjqZ18GB376efouBxzpyw TBHWFdgrWs61P5Xxb9iQ+Nc5tTFHqed0tL0SvvleuZ0vfvVqtaadZHyMiXla r74aBqqT0dK01FNuaGvM6nSJNYJhQmn26UucVbtTSGqfG/fz7aexubT4BvEh Zkg0l2rzevZMKHI7zjtr+/hzU389buuJDd5b/AV7KVHvYXVIi4L/T3nXHmNF dcZv997dRcGgVWqioTa1IraLNFqqpsEitZrUYpD4SPFPamtBklqlGiSouKsC KdoIG6UqCEtF0SIEqLBRUDeLAoaXC2wV6CKowKogKIprpvM753ucMzszO7N7 tUk7m4W7c2e+8z1mzvc832l0cuOwnGD11NWpcQ2fAdfNnq1ixI5dmC2/+ELF +MknnFtXMXIAafVqVamoucG0H84KRjq/TRDfnXf64rPL86ut+PTgvwtOU7BY EVMDA9MIhUTsVbSX1OmR/v0iYrZ2pFqrEpvrICOCEk6UbZoNfQgG2gEZGaGn q4gYZapkbhJc1EW9t2bk6W6gG/1AjGOA/JXoSScfKnoynNrbbhwKUwJjGYdv e7Bd5ItMB0WXRb4cTFy0SOXb2mrPOT23zALyn9piHJlVcQ4zKptLMJ3srB1M jhEhHo+oCEe44iGRFWPOlVLEeCj8KVAbShLj+mM1P46uA0LaTioQRIxO3w0W I8yMgt12EduImxQIwdg48PMaU0gUuNoQ2orqXRluaNh/+dqlpdVHL/oZi3H/ tztOaz81sNwTMUIbk+8spePgJ7yVcLpEi+Srwp9NwSaxejntPHmyipHbaWzb pq8f2ESFgPL6sYF0yy0aguN7ly3TSDeUUoIY8X9mMVbIO1ip2bAqGBsS8g1/ kRlCCycKnrQOCAYENwQ3+JLibIrkAyp5ySbMJXQxMXvDkqRQXmmK/z1Joemx XV4ncFHps+Pcwiu7fn0JPz3YIMLkI4YFw1TJ4enHAr/AcTa4YHrWLH17UPX7 G7NNnr49WAqCmTC0U0Q8CFlEI6Tr1gXsu4p4EA0FTFRMoWgEATLMrOFxO/4x XK/wBeBAVeFxkf199+V+B11qvHfQcrYKPQ3XDqZNCcNf3vaUBGqM0D8F7mxV 1DXRK1eKQENHgmtxUXNsmrGRQE1SeXww3heos26Z4WK7oI9OKRyYP+5UFijC G2b2RR99EajjcIpAWQBLl6pAUbWANRmuQBHfR2I4cELerAI//VQFOmOGhff+ +5q8g3UDlYoZHDwIjz9bznjsdsRRTJDkAw/EKURfavoapsgPxZ2yn1X4i9YL TixadogJ/Rd1FlHLTk4AOXq7zzzeH7vdoDk1tjyMM1jFQOEiwpA1kp+wlW7H ptxXbfYWCu9GM21EDQuixZwGHCI2NhhDI1LEhvDISZFmIJqvV7HxDrDhYyhi Q4yKmgkbfab7Jt+RQVKV8m2KnUmcR3RwG9n6MNBxOYq1iPPojW9Yh164wvm3 37YoL1jAnMc2dVgNj5ABaqqivX5grgvnFy4UZSGcp3DymMdN379h8/aYUi2z l6Fwfvr0gL23TmVe7e3KeQ60HjyoXhlmMbIFxeM+etTqOdunypaa4r4hQyz3 HpJHNzK9FeJeirfesndPm9a1kc/Md7aZ4w4m4/dPuj/ayBnThjB/3z47Tn29 xDfQyalfu3FEsNSQmH/vuPbbjRpBcagwn9VYc7My3846myYuGwyPXmw3hFWE +Ujze/Zm0Wr3k613JczndWxNTcp8Z/WlqBUYb9b2DII5cwJyrc2fDzucdQ7H EOvM9fr67Fz/S2AKlVC3xzUwyHcQ18XFhJcsXHdi18x12Ebn/MtElZyYNVpD Sv8I4ToHhZcvV2uZ9j05vOHlALstoYKxOWgWM6tT/UHR634oDGeVMXasMpzX NIZWpTCcfcLGRmtLwPIjy/mxCFO5TC8PUxvCn/BuZLV5Gzw093ESAkYL0xNn 0cTw1iIQpr4d/lz0umEqdrgpOrmjm8Ifj6m8j2FDgyr1WbPsuQ8+ULefn5HQ xxBOQnlSSZNwEi4r3PlRo5ST6E+M2b6jQyPymIphxbHr/+STlkuzI2xcuzY/ G7FmO7wbq3CHtjWYZsZYVeS4ccY61VuKFhdKqBIfPhy99BTcanLMZISg2YfU f4r9z30IZs5UHk6aZOfKr75SHvL2bg85vUd5Tr3rLl00Bg1HYSDRZshqkO8m RggagyCZjpAMPYVJ7Atnh2T2kYZl9mFT54LtCch59iH/XrSS2IeqSfRt8dmH JkJon6bse/Ovcy/Arab9KrFP2i+jTZqwD74Q0KitVfah9RyVuMujZTtE8V+B 5w4//riqJPTKtW0O7YHwB64ZPNiyYFkCjxYsSOERKS3m0efhT8H2ieSGNUgd OxVIWEzr8wgZBS/FWgxemWF2dx28ZuNq5hH2GDcuJtKzYud2CuoXrSNDj4Tn uFBgWHjEWRJ3iRR3bMKji6O5WR7NWB7x91l4ZOeWSiTFsFrXDWqzH40+uEat Tg4m61yE5/5at2S8Ojg46ebgy5LtYw7rqqX1PZSpY5sEVauw8ui+ShcWFVYL cxChjmy/4/aKF+ZwQhsxLRzIYMHYD+fDWObwNpA5mINEOsrgOFOIFYbMHFkh hqImYQ7cTFqmLzbHzTd3tPcrvj74swtxpzTpXBosVeagqGf4cJ85eFvHjfOZ g4kc64Zc5ji7nknACHUYeBrHjLHMGTqUV3MFyyN8YYs+O19KwdXB1bCB69p/ /0fTVcqyBNtgdbaBIUuqWRKWXHddsOc8s5vq8Ll7/tFy9hfnGr2HAgRhCbyH qDPI63Pq6tSrcBpMFd17zz/f/CW6DKxD8QGyG9Bn995bSOXHwoUx/DDsYC5Q ndkjH904BnusERekSyfWeZ7gYkS5MTGLQoEfufQCXItGmOaeYcEwMYswC1Ex ozBg586AFbEwgNNpTiNwY2/SyyYMWLHCXof0DFI5Bw6kM2DZsuwPROhvAv9F +0eO2Hm8/1nRvo56adHO/OTRCyswEYwahVQA0mCmnie0yYUVsE2iHiYHNVat 6syK0MwSnQzFguq80GqUODgq0zFXPPGEpXBFGVhAa4Je3ffLi9FkkFiARmJo YO2zAGVaVG0vyhR/32TtPrFFpkyxwxw/rnSzT7l1q9LNdl9on3TaHeW22wqn 87mjZvGT+StW9GiXlZdu6o7S8u4lA9BhhdcE9g56mwY1Ht3ozdunj0837KpJ k3y6HdtW6GZlePiw6gA8E7YFpz24l9PmzRb9jRH6eOF3HvqOBEeQE3hvb83p CFI7GV+zISi2ChIjidcjutM4L9SfMUOncU7FtbQofaCDFgMLffCArrxS6cM1 4F9oryp9vESCCFPpxm0MSNgRxggjHfngrN5moyaiDNt4m7nIa9rCazwOOQ1G 2St56imlzFnqK5Sh2LCmxqGsZHtK9e/PdFWwigg2JUissbFriRGyK68Irvjy 0Ckl5PuZKNmZb02wRolis2LvXiWK7cwXX+ycppk/X4mCNqW2a6J1XXsN9jJm WUp+J9H12muZ6Qr+EP50FAtuUwGsoBJlI3Rxxkw6/xXV/Fm/XunCdIBzU6Yo XSi0oC6+QldTk70Ojy3nLeDTx9DFM3Aeuh47Yh6u2nfulHZwqIcyJoF7nXm6 iQahi6M1O3fqdIi/KXgg0yFWTeP8tGkaKICVBCsLmhavFswINFuNoYuf/zx0 bdhrWvg98sq0MUwXVAHa1vp0cTr4pZeULh4wnO6ELqT8yLoUujiC8fzz6nLC 6sOzh6nCJkiCzRF6uD4kDz2ftBiTu2H+365lP6jX5tZ3ZV9k8YM41bl4sdID M63axkOEHqdAUejhhTkbNig9UG9Q4TDbEGErEz3kLzXfsfgnTM/Fz7T9UzL8 Qg9bXfPm+RXGcOtdenAOvp1LD3esPHhQAtxoHxMeWxJI2LgxyfC0iPfi1t0f Xtl0stkoOURdKl7CiUDw5jDvzJmKN8xxKgISvJ1VuoI3mjrBRAoImQMJ2G7Z kpXh1WK7nLetMKJ+73zgvfznRy83myiJ3c9NNu6/X5GG5TxypI80Fyjv3+/H XwYOLDPSpCXO2FdYfPmRXyFlaRLTE4IJ2m8Q/hcFpmQmxXJ7MugEaU6ChzOY II2IA0UDYpHmIpAukT52TJG2lL4+/OhF6F7w96sOXyN1L4I0pggq5xbHAVMi pbzFCuEaNFjFOFDjhVexttbiczCC8OTJGREOjQlBGInb8B2nleuwuMwSLcRX BGGE/0i8gjCv3Qmfca/W3JbSWIR5q59nnklHeOvWrAhX2ZSArYjGPlgBOl7u CfZI/TweRWu6Ka6bN1swzz2nOggxMFrwKuZra2ssmhMn2q/b2rKiWbSGFgLg gRNFgA4ZMsTHrbGRJ1D1GBG7stfZuGHfvnbc9ghiMOtzI+b494IYFDEhK4jx KpjQvRXEUI2IWDWMLCj6YcPiEYPxlRsxlDRedpmPWMxeBK6GFsR4h3dszocn MJzEFDHXUEdiOQi6MNRdrBDOiIbK6ursdc7O3Cb2SrtNC1awaaA/IUtc/+ab 8ewaO7Yb7ML0hUCwixiv0Q3nZkEMsqX1Ff343PDh9rpBg+x4HyYgtG9fDoTg RN16q48QO8OyAWnRxsSofFUQglhQrcBBxCSEDh3qGiHxejGn4tw996gi4GDM G28oQjAn8LryY2GOqjwYOOGpom5c+/DD/loMnAvdGxkX0yoVuCWPy+t8clHO htPcuYoBO1MNDaoCOecY+siKQXUEAzxAuTFg8/iFFxQDxxUQDHhJ7tNPp2AA +y43BtzGZvVqP25hEwX24Gnj5ZdTRkclDP4P1W/20ZcskVdeRkfwbfRoHQjq B9esXdtp9FKn0XHsyjAwT9vvvKMDY/2Y7RxrDzxTlH4r38BsFx44oA4sbEcb fbWHLhq2R6/ImIhY5BmT1/Z1dOiYcKKpRtMcSA24xEfHhD7MMyZiiFS5L2M+ +GBAKsnCgX1infnyjAm+kQEmY3KLCzh9XNZeX58+JjfeTxozlJ2MiSALHhx3 TC4ygJrV7b4jY7K65W1IgqALddvWpqNiRDLfZFR2p9BJiJfmoXtqEqXAnAcn SnMXUkfxwlNL2Xyr3ktWynA0sJuOTRjY44QIPrD1I/jkqgo2U5GUNCBQREWv ggkadCLPBz1vsYzHBGo3AyYl/xyPnMwdeC5Yje/ixDYgfjEp9RCnRO5EcJKE Mu+XF+o2CWhA2yAYAj7Bm0rDySbYI09QCk9S+CQ4OXpZciLwu20/AOfRjEPI GnHJL6870IYN9tySJQ7Q7/cQKNcLNTWlAIWtmwcopz62bSsjUDaaduxIAQon yEaNsgHlhR0ff5wCFP2XBg3KDtSp1y4fUGcry2SgmC+sTskGFAFD0gfJQPFr vaBsQLGmicpV04HGSd/AFFAgmJZjRUCxQrLYB3pJikLySp/QZaFLDLkBdQrZ Modz0c306Q7Qs3sIlCeXOXPKCNQpK+wZ0O3bFSjnRNatSwBapGSCjZIlA92y RYFyBmT37gSgffvaC2wLp2xAefPrzz4rI1A8Tidat7l8QPHok5tfPqCwxChg lQ6UWsRlAoqJ5/rrMwBlXykLUAQfUK2QCBTGWhJQr4+diWLiyqlTHVA/cECB zRnxE6CO961Az5DByWzgo9TD0bgb4Zo1zmhnunfYg/zwXu45RkQGtjHybANz VjD0PqMDl6KDVAjd6csJomPU1tpzx45FWRlXSc93deKnLcjMRhZ8vn7Wikzn Z1FlaUeDX5B3NGha6vWoo7kPIGyBvECBiI13dwGU1yokAQ0nba8bAQIJEyc6 QM+JAWpzNMlA3RJ0bP2Cc7NnlxEob7r76qtlBMprn9rbE4CiABUX2MYjMZOO gMITRn1e4kHxpnwot8yKH/KNQ4eWAeiqVZpeg8xtgYUDdEAM0KlT04HqRnza +mDevASgHLHmCEcWoPBIca6lJQEoVGFeoAgEIMPgxc66CVQiwbz15DXXOEDN 6izWDtQDU2WZZLu6YLluY8WKKFjCFZELXIDClTRcn31WgaK8EXPh8eMJQDms Cc8uDeiCBX4YGJmSCRMcoAMdoJjqLHkxQHu5QO334CgcPERLsIY1DiaSFYkw q32YyCUgkom/H33UQfI8ByDmDvsOegBHiCDjVnnRomgdDtk/3kPUDVz+0BmJ 7VKE2Z2R4oIUcWNqWEnB/8gBz7b0rl3dB88KH9xFghUJYz5qnAt4ORfiNVGm dV7V6Y3gY6LgBznfrl9v3lf77e5kOrqM5aSOgpTP3Xf7o4zOfLf37f/53Xrl NPyjF3b6Xo/x3/xXv8B/pcJjv7vwBPlEzws+4fd7MZcYEIe6vvc7Sfe+6Axf gbMnyacK+XRWzLc6cuJt/ZJuSxm0KJ++m2dQve20LgY101Kl3BPHrCL+rZK7 zYRalE9KpDlnAjvV+FQSyOn3Gmx2lBmNSoFXIQhF4CXiQpypke9L8qkon6rl Hv1WBzD/qxAUrxN9APlBGQxbvw7UqnygJf85yopaJ+YVfbCJGKpk83Oryseh tSyDx11X6nrwMjCg7zdPdmS+irwW2YmN3P1NEJt/SFPMVtVdEsk44mnEe3O+ ZlJ7OHTJP5eJ5Gr5vjppQogwtjLPHUpgroEinCzDQ1rhf0onMW4ezA8qItwe Y1XqLj/ipgs9F1XD+KvKnwxPkuETdWwueBHOlAe/uIuVM4lo9IxbOsHoUH2E W+wA8VgB69P8QHvCskQk9TY1uSKfyvpsVcXwQ8XRxwdVURagPeFbN9FVvqVj 1Z15K+LT9JZPKrFixnsjnOnm4JE7ikkDue5IL7nHfDKeT5V/d1QSAqc9CYA6 F5Vy8Xo7aBBz/Bd83v/Vrwrf+g8mpijH\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417838825871288*^9, 3.417838826537169*^9}, 3.417838858132705*^9}], Cell[TextData[{ "This dependence of oscillations on the signal S can be captured in the \ following ", StyleBox["one-parameter bifurcation diagram", FontWeight->"Bold"], ": " }], "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.4177989668602*^9, 3.417799003129011*^9}, 3.417838858132858*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"600", "*", "2"}], ",", "400"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708185938001*^9, 3.417708225066429*^9}, {3.417708938849448*^9, 3.417708938949304*^9}, {3.417729994817061*^9, 3.417729994961415*^9}, { 3.417734582520106*^9, 3.417734582629582*^9}, {3.41777856275291*^9, 3.417778562817604*^9}, {3.417782066818382*^9, 3.417782066920951*^9}, { 3.417783225728059*^9, 3.417783225811332*^9}, {3.417798365021842*^9, 3.417798365482556*^9}, 3.417838858133001*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJzsvX/wJsed3/WxIgzfrdhAHaUD1eqSHKZsXaUs5JLQybotDkEsHCPHMeKP 7NlaFYtRNgmOvKqkFEDyBDAQS6S4Kq1UWCYmWEh+InnBYCDcXXIQSpQJKhdl abXrk1U8UcSqvHIulm1h3VV85vuuZz6Zz9Pfnpnunu7p7pnPH6/67j7PzDw9 3T09n09/fv2hf/PPfvzTVxHRPe8gOvH7iM6QoiiKoiiKoiiKoiiKoiiKoiiK oiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiK oiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoiiKoqyP44e8o8XleD72 UsB1+s51/f7yIScPeUUcu2k/e6iAvlQURVEU5rZDLhxymnbvq1faf+N9eV0B 7VMURVkT0C9CdJ7jAdfpO3fse7wbTovvT7S/d6n9N39+mvQ9oiiKouTnaure Tado9756gHb7dKz/HCugnYqiKGuhBjvPo+3nZ8n+jsBnbPs5XUCfKoqiKOsF fgf8Prva+E7u4W0KaGsqLlJ8ne5+2u1z5r43RVHqpHQ7z83i8yH/NRx3ukX3 zhRFUZRcsP9Bn3x+G3XvtcsFtDfV/fftb4bCtrOLBdyjoij1Ubqd5yItfz9M URRFWRfsv7A0uwXLAicTXf8kpdGnFEVZPqXbec63n10ooK8URVEUJQY30u7d 9mgBbYkF+2XA17xJ9Btv0c7Pfcz3Q1EUxaR0O4/MW/CQI7cV0K+KoiiK0ofv u7cG2HaV2gbDfafxu4qi+FC6necdAfRdX1EURVEYxH5yLmm2HcgaCHiXDO2h jb33cH34Z7O/AvK38f5d37ku79KhY25rf2Nj3M/F9jsZS2TaSaa8Q4+J84fy p07tc9CI8+4PHHtFUdZH6Xaezcg5tvPV3q0oiqL0AZn8BereGZC9IW/LGghS Hr9Adjl+6L13WXx3rr0G/Nk21Pl/2c51eZf2HSNzmOJ3HmjvR/7uCwPXH3tH D3GhPfd84j5nTrXH3RjQVkVR1knpdh7O6TmWp0XuMWneNkVRFKUPWe9tyKYh 32unRr6Xn8t8o7YcBfK8mHYeju/fkF1fQLvODlx/ip3n/Mi5sfrcPG7oGEVR FEnpdh6+7sbxPs4W0KeKoihKmcAPgOVzs3aODVlb1PW9x3Et5waue6Hn3Cl2 Hhc7zdD1p9h5+Nxt4j5nbnXoJ0VRFEkKO4/NJiN9iG31p2/rubZLHQOZx0Xz uymKoigxge5isynY3p+utXdSxPPwe9DVjmJ+F2rnca2jF6PPU/6moijLJoWd h9cpGYd4UXy3od3avO0539SH+FybrnSd8X1TQJ8qiqIoy4HtNi42mYfEZ0Ox +H3v3il2HvZt64upGbt+qJ0nhc2lr89t7d0mHHtFUZZDCjuPjN2E7rMx/g+7 DPv2bqiLRQS2WgUNdWs525EutW3ga9v0IUVRFEWZAvbV2H7iYudxfaemsPMc E229SPaYnhR2Hl85Ykqfx2ivoijrJJadx1zzbms/43yUsFMjlrMR58Bn90r7 /VnL9yawZZ+k/RjM8+3vDJ2nKIqiKL5IP4Ix/4ahz2yksPMA6D28j4h3Jfy9 H3I8N9TOE7PW0Fifx2ivoijrJPb+jKIoiqLUDPbsIMfLfNLsoyCPK83OI8Ee oVmnx/S7MM/Jaedx7fMY7VUUZZ0ssRa0oiiKovgA+wL8smUNGQb+BY3lnNLi efpo2nbBt+L0wLlz23lC+jxGexVFWSe++zMcR6N5UhRFUZTawbtMxosy7G89 FCc6lrftVs9zhz73PaZP30qdty11n9vaq/KIoigS7KWwvsLg/zI3yvEe5Nqp +yqKoihK7eC9Jt9/UubeOl6jz77B8TSnB851qc9jq2cKON7FVv9nQ52dZOhc W9tC3+/StjWkr8Toc+Z+cY2bPc9VFGXZSHu2L3IPRXUeRVEUpWZkXjCW/11q ZZr02Uyk3cNmM5E1N4fsPBzTcq/4HjoFx7zY9Bp57fsH7tvWrinxMWM2l1h9 buvj3PNJURRFURRFUUrDNS/YGENxLLJmA+wxF1rYBvRKz7nymleL43AN00bS Z1M5QZ0N5QJ1Ph58LeQ7bSznTemTzci5sfrc7KdNhGspiqIoiqIoytLY0E5e vjjxOmNxNdBJoH/IenSoz3D1wLnm5017PNdpONteY8yfS57D1+PaDra6PWfE cSF2nhvbc19I3OcMxwNdiHQ9RVEURVEURVkS6qMdv19kTM8cfa6xPIqiKIqi KIrSD+wdkJcfdTgWdoTTtA57whQ7DzjXnn85cZ9zzNKmgD5TFEVRFEVRlBKR cf5DdocLI8fBtnF85Bo1MdUWcyv16yKx+vwMdX5y2wL6TFEURVEURVFKRcbN ILYfMTKsv5yk/RwDfXYP3/p2pTPVznOm7ce+a8Toc85d0Bc3pCiKoiiKoihK B+rFQN6GH9WG9mvG4LMHqL+25xlars4zxW71FnW56Wx55ab0+TEazjunKIqi KIqiKIoyBw3t9J4p9XdsXN1e960C7lFRFEVRFEVRlHXTVHZdRVEURVEURVEU RVkS8JVEvagN7XwmYUNEDo2++lXKOmloP9awj3OWczGXMKc21OV30TmmYPzh 481+4PDtRk7TId8Inkt8DuYb1q++2uSKoiiKoihb6mRVxJGhdjDnU4d8OxTH p6wPzsO/oZ3Med7CaeOc26jTdTj3vqxPrXrPOpHzAnMJ9bxPiM9s9Rxwzllx jqx1Dm4t4L4URVEURSkLyJq8b2/WtOVc6ecLaKdSDjwvTnqc82h7zo3G5xcD rqUsh5Pt+J8wPse6tGm/M+09bNsx5xLXAoc+pPs0iqIoiqJIIDcMyZy8p/9Q AW1VyqChbp/9fsfjoTdv6Kg95zZaVr5PxZ2G+ucF4Dp20tZzc/vZB3uuyfUh 1lA3XVEURVEUd3jPtM8fhPf0zX1YZd1cps4vbeqeOus8GouhSKBPs92GP+P1 yLTxMFwLXG3TSo1onFpc+D01hvZvHHjN3hTQlppBP0Lm5nUA/Qm7hNoepsPP fJ/cuqUuBiN3W5WyYBvhhtzsPX2wzUjfO4qEa9C9Ij7juJ2+PRq1Gyq1onFq 8WG7MPepLfb0PKkvbCx0/Z3OlvbnrLkOXCygjbXC8/PswDGqtytDHKdOLt0G nM/zS9dIxYTnltxv+SCN68ccn6hyjFITGqeWhg3Z45WV+KjOMw0ZX2/GseKd x3si2wLaWiMu81PnsDIGx10MxVFsqct/Lj/nGHbdu1gnW+r2suTnWHdsa/+Y Xdr1GEUpCY1TS8cl6s8BqcRF5cVpjM1VncvTUJ1HiQXe2Syj2mK/pF819u0f oH1f1aaAe1DmR84L+JhA94UezPtZV4zjVedRlojGqaWFa29cKqAtS4Dnq4lZ u0/zsfrB+W37atOp39U0XPQZ3n/SPlbGkLZX0/ec5xFkWq6/cq79t9bmWS88 L/BuxHuUZRPoxTb5xCWPpOo8Sm1onFpaZB0wtZVNh307Nm1/PtD+Zb8N7ueh utLKUTY0vA5wjKuuA+GMyQe8D6s5DBQXbDEYgN/Z5r69sm54XriuL2P7YCob KjWicWrpkXoPZHPda5sG+2nI+ajr7zS47/rskezbpvJ4OLyvernne/UjVnyw 5dpiYAPSZ1UxwbzYOB7LuQL74r94//FUAfelKK6oz+Y8oO9Y5jmlfTkJttHL d7rqPNOQPoJmLtxj1O17qI9mOOyXaZNFZQ4JzXmiMNgjw/tia/mOcwyds3yH czYFtF8pC94vbByOlTms3rJ8z3agBwq4L0VxRXWe+YBcw76EG1J7zxReoH1f Y9V5psHyNvsIYp6aPoO6bzyNhroYDNPWw/2se6aKhO2rGzr6vuA5Y7MLss0w d/uVsuB54VrjifdpXzA+ZxsP3hsqxyg1oXFq88PriOYMDaehfTu96jzT4DmJ eJ4t7fSbs9T5yGh8VBx475R1SKwBG+rkWl1jFRPWbTa0y0Mg5wye28ZyjrQp vtBe42T7b61Hul54XmBvBfMBOpCcH+bx0i8ffzH/2L6jNmmlRjRObX7YD3uo PqEyDsfw4q/O02mwXKW6TXowVzmfFsutkEWaAtqmlAmeS+gv2KPkfYghP9Mt 2fNb6jO+brbUPy/69rUb2s/ztqHd+qX7M0qNaJxaHtjHRffcpgEZYEOaV2wq 7EOjtkdFURRFUZaIxqmlATI49kWgK5r+rteR+gvGgufvRVKdZwpsJ+uzPWKf T/MXKIqiKIpSMxqnlrZfTVmR99TVdhYHGWevOs/0fjRjonW+HgV7GjKu4lTb b7pOKoqiKEq5aJxaGmSOX86Dxf16ltSvLRa3UecrqDpPOJDXN9TJ8HId0Pna saX9PAToJ97fwPOutltFURRFKZeGNE5tjn49r/2aBJnTNXdbaqZp+xLz9Czp fDUZqqPDOZHOF9BORVEURSkVvEvxzuSaUYjNhu9E397qpj2uz5dCfS8URVHi wjlfbHldgUvu/zN0NF9S7vtS6kXnkhITnUtKaqRvDvuUcO1KrplhnsPf2XSY LanvhaIoSmx4T8q2JgO29ZwYuY7KqUosdC4pMZkyl3SvXXGB36M3Gp/LnGqm nsL1pMxrqe+FoihKGsbyLW6p22tyuc7ccmqO380lj+fu3yWPaa7f1blU7u9u xXm61670Ab0Ec+KDPd9fIXsupT5i+V4oiqIoHWP5vMH95BZXpnLqMn83928u /Xd1LpX5u7rXrrjC88G08TC3kt98ieV7oSiKonSwzjMkC4wdY8qJiqIoNTC0 Nupeu+IKx+306Sgu71kJHxvie+EzxyXw4URtn6va85485F3iOu8U/37jkO+J /8OO9SrtdLWb2n9f2/5Fntw72nvBPgKeq2sG7q1UQvpU0X7Vfi0L1XkURVkr Q2uj7rUrrsCnDXNhqPYF2wzHZP2pvhc+cxy/Bb0EOsx3D/mW5fwYvOR4HHQu rhUPXempQw4OubttL/YXoDPlqDXk2qcl4DMHclNLO7Wty2iri87Dvsobh/Yq iqLUgss6PDXOUVk+Y3PF9ZgzNH0f0nWOP2Q5tlSgk100PntK9AX0oO8c8qJD /04d47F1owR81rnc1NJObety2jq2Fl8mt3d7Tc/ZXDx8yGOHPHfIywmu/5ND ftzydgH3WxNNOy6prv3TAu6xNvCM8PPSRLwu1qNfPuR3HY+PGeeoLJ/cOk9u nURRFCUGc6zXnIfocs/3rjlncrS9VKDrfPqQ2w/5I4c82P597ZA32+9Drw3d 5vlDPnrI5w/57ZbH289z33vpNIc8I8bm6UO+Eum6zx7yvnY8/mT7768XcM+l w2PyNHXPy/fbz6Y8K8xfOuQPtGPicnwMn19lPbjEdvFciaHzmL4XueUURVGU GMyxXrNfus2OM5S7qG9Nn7PtJXI97XQbqevY/kInajyu+xbtdJoP0U52Y7na /D90H7X52LmrHRtzPFj3gT76WMB1v2SMgTk2n2nH5dkC+qA0Gup0HRvQTaH7 3El+zwuegc9StyfA4+Fyruo8ig+IPcE8uLrn+9g5DEzfi9xyiqIoSgzmWK8b 6upHm7aek+3npxyuk6PtpYG+lPoO9JrnWmBLuIWOynMuPm/wXYPcLOVp/P9L 7Xc/op3dR8p2Kl/v8xzt6zgYi/uos/dIHQjj9hHH8X5cjMtvt+PwS7STtz9K +zI32+OaAvqjBNAPUt95uh2nu8iuB2HM7nS47rO0/zyA/4Z2th6XdsWIc1TW A+f4u9jz/dXk/h4FU3wvxmSKpxyOWRvvps5Wx6CPX3QcL0VRwsmhN8h4Ruwd ybrj+OsSF6g6z06vYdm5z18KMp2U53DsNweuCdnZtBn8yHJcc8gXaV++th23 VqS+eZ/4HL5Tz5BdH71r4Ho/pH09FDL2s7Svz/yk/eyXjDF8vID+KIFnaF/f aYzv76R9fzc+9pmBa36B9vcG8Ez8efJfl/j4qXGOyvLh9yf2Dt+yfM92oAcc rzfF98L2Hs6tU9SALWfdTW0fc87tKz19rihKOLn0BrzbkXd10/429pqw9jYB 7V6jzoN+YpvB7Q799ibty9i2/WvIy3Kv+nmH6/I5kK8R7/OTAvomN3dRJzcP ycsvUyeHs4x9n+U4jIHUdxC3M+ZP+DZ1sT7gswX0S05eFn1s03fM/r7PGJen LcfJ5+Wjoo9D1qVYcY7KOuD58oLxOdt4oKdc53ithsJ9L/rew/e3bfPRA7gm D2R/1Ot5f/v/99JOH2PdC3V8NiPXusnzt0vmKY+xVBRlmFr1hrXrPJDJWB5z jYm/kzo5zvRzg4wMuY31nR96tEXGl3yUNL7n09Tpli4x8ffRUZ+q69vvsI/7 PtG/sOE0ju2Av9znxbk/LqBvciH72DWnIY6TvoimPsp+htD35ZwPWZdixTkq 6wB7hhvazQn8xf4h23dC5kmo78XYe/i9lmNM3hWpT3DP8PvjZxF/UY/0hfa7 u9v/87OE2qX83IFPtPeK9pyi/TaepfH7SMlVbdufau8H/x6qz6Qoip1a9Ya1 6zzsG+Vi45FI2Q/nskwOnxyWjb8U0J5fon3/ntz9k4uXyc3GY3In7efde7od G/ZTY/uOzZdlCPgbSj/F3P2TC/ZZu93zvIZ2Od1YF+XP36Z+38GQdQm/EyPO UVkPDe1kdrb5bGin+4TWjAnxvRh7D7vE8zxZQF/CLiV1CNwzavBwLR58dy3t 9ErWmdgGM4fO813LZ19t25a77xSlJmrVG9as8yAex9fGI3lGnP8I7fb/Y+gr U/WmJSB9CH1rJDW0H3Pyh2g/h0QT2KbnxXXWmGsC/cbz3UcPNcf0QTGmcq6b cWyh61KMOEdFmZOx9/D3LMeY1KbLQ/+Bjej+9v930L5daENu9q1Y3CH+DRvQ toA+UpRSqVVvWLPOAz2FZbAmwjWk/DbF/4n94zi2J7RtNcP2t+9PuAb7xv1h 6mJFpsRJNdTlFZuiO9WKtG265GEzkT5u+Psf0/AewZR1aWqco6LMydh7+ILl GJM3aBe3n/teYgNfOqkL3URHfeZSofYfRbFTq96wZp2H5epPT7gGx9n/TYrr k8Z53zj2JHdfzYmMk39z4tj8AzEuMWq/8rj8SVpfPoNQvzYJ299+nfbzFjSW Y9e6LinrY+w9/B3LMX3Ab2yJ8WrQfa5t/31de4/SPw580KOfXEBMEnJfX932 6x2keRAUBdT6fl6rzoMYD96zniJX83XYlmDGYU+B84XhumuKm5d+ab5+bSZ/ LvK4NIfgQfnt9u9a8kyExlf1je9/TuO52de4LinrZOw9DHn/dctxEvk9dIG1 1KmB7vO99n4b2s9BEYuX2r8cK4j8j6r7KGum1vezbPcv03p8P+Cbw7aEoXou LvyH1MlvfzRiG39K+3H3uftsDhrar/0y5VrIU8Dx8f9SxDb+Cq2vZk9MPVTa yv7tgeNqXVMVxZcxnQexLz9vOU6CHAbXDFxjTZxo+wP9AD846EScszsWBwXc p6Lkotb3M7cZ9f8gg3yhgDbNgZThmgnXwbl/m7raOj8XuZ0y39ga4uaRS4J1 0ZCYEcnzou/+wiGPRWynrCO7Bhvca9TlwZtynbeps7uBf5r685DXuqYqii9j Os/NlmNs4Fg8Y41xPmwSa8vdgX5APhPOI3e87aN3O/blGLClyXxzsP3cUcB9 K8oc1Pp+5jb/KYrvm1UyHMszVYb7r9o+g/z718i9lowrMpfvGnIky9zhU64j bWTwO4S8HpKbrw+Zo2/pth7pBzq1D1lXZD10SLetdU1VFF9i6DyfGLg+23/W HpMPve9A9Bn84O5x6Fsf1uJTqKybWt/P3ObfpU6GW7qtR8YmTJHhfiT67D+i OPFBNj4rfmfJcfOcDwLcMOE6De3y3XGf/YN2rB+J3F7O07f0fYLnKI4fqHxe foe6HG639Bxf65qqKL6M6Tzga5bjJIg5scWYvGgcd4VULpdADzJzIUwB9X5Q G+zRlqt7xkVRaqbW97Ns9+9RZ1NYsgw3pfYLg/75vOgv5EDmvFavRW5vQ12O 5L4cV0tA+rVNsZU9Tvu52jhndZ9sHYq09Sx5n+AG6p6X0HFBbNXnaV9HlPV6 vmk5p9Y1VVF8cdF5XHK39ekyyHdmyvUHpLI48wTt10BCX02J/3lJ/Bs5xJea S09ZL7W+n2W7pa1nyfmRWTeZIgPLWjxse/kKHa25GIsv0fJzJMsYq9Br/Ig6 uZrzPnyFpsvsY/NgybYeWYMq9BqfpW5/gOev9Jn7sOWcWtdURfElls7z6MBv YH26wzgetW4eKuD+S6Ghbh2/26G/fXiygPtTlFjU+n42n0uZH3lK/cZSgZw1 pZY8+Dp18pusxSN9gGz71lP5DC3b1sP2mCkxVp+hThf9SPvZXRQvR5+JjBta 6j4B7xFMqWPFNh4sMo34/BkxNs8Z59S6piqKL7F0nmscfguyvFnH5okC+qBE oCOa9rGxnOFDwK8QeQ8ebcdqbXkllOVQ6/vZfCbhr8MyXIzamqUha8mHyL8N 7TqKaym+bXzH155aw8TGs7TsuJ6pNWJl/0hfs1i1mPqQOdyaAvoxJo3ou78b eA3OPYh9gl8xvuOxgd5zn/FdrWuqovjiovPYjjO51eM34Qd3qj1v7bkNxpA2 H+SBu8lhLGyY+cbfII2tUuqk1vezba2FDMd2jKXl4YU8DfkqNC8Y1xaRPm2S GH5zQyzZ1sP7/aF6Cdt4bH5mt7TXn2Kr6ONZGq+vWSvSRhaSO/xt6vTBvryD nMvAHJta11RF8cVV53nVcqwE9htf24EZZ4KYe5XDhzmgnb1Gxu1Msf8c8/x9 RclNre9n21rLNTQgqywpP3JD3Z51SA4vnD+WS0DG4cf2owIsXy/N1iN9DkNy 6fXZeBiOSZkSK9SHzCe+tFwGU+tYybi3vv0T3of4sPG5TTbI3R+KkgLXed4c 8i7L8ZKrJrbl0fY6iD/RHAf9wPbDNX9gL7tA4fYf9Ln0N7xUwP0pyhC1vpf7 1lr4o7AMuZS9a8TYTNmzdskZLX11Uvi3AWnreauAfo2BzDMQoiuO5RK4j9Lq ohwH9/kFjQmYUsfqx2SPezPp00dV51HWgs88d8mrPKUtj4rrQA7fFtA/tSD7 zofvWj4bykehKLmp9b3ct1by3jXkuKXsXUvZqgk4n32nPj9y3Kcn/s4Y0qbx pQL6NQZTapHKui99eQRSx/TwmHxooA21gdyDrCd+LOB8mQ/lpwPHSduo/Fx1 HmUt+MxzFxl6Slsa6uJ8GNgvtgX0U+nA9sP1X2OAPkdePfgf3l/A/SkKU+t7 eWithMwy5IdfG6ibExrTwbmiIdOO+ZTBhtQXlx0Lrg30vkTXnxMpW/vqI1z3 xaWuVOpYK35ehvy4akLm+zBzqo3Bz4tLPjv+HcyB68Xnta6piuKLj87ypOV4 yclIbUJeA9iUpM8V5Hn1d/Mb04bG/RH7MG16sP3cXcC9KUqt7+ehtRb1HFlu +WEBbZ0C/JlYfvPVQyBHf5S6XG0uvktT4oZckL6HTQH9OwUZM+Jb14hzgvXl lJDEqEU7xC+Itiwh5yHmrs3+MkZzCBYTfl6akeNljnfpc1rrmqoovvjoPGaN HZNXI7ftuOU3cvdXbZhj9u2RMRwCud40x7WSm1rXg6G1TPrj1+7fBnmX5Srf upTSR8fVl4zjslPkCQMyV9izBfTvFF6jsJiRH9N4TjCJtCelsr99ipZj6wnV 23mvxCfPhu23al1TFcUXX52iz24AWRo6SmyZGL5V0t8td3/VCPrwhbb/NrSz n72zZxzHuLEdY1xT7W5KDmp9P4+ttUP5f2uC40V8/ZpkbmqfvXtpu0hxPw2N x7DUwHMU5geI+5dz01W/4LzIU+qeDsE5D9Gmmm090vbiMy6hOR9tNqVa11RF 8SXEjoJ80u+3nMs+UbH1nobsPg6aZ9mPt8XY/EzP+PlyJcF4K8oQtb6fx9Za uZdeq60H+/sh8es/bO89pB6OjMv2tSu5InOF5e7jUGQ+NZ+YEdZFwfMe503N vezCF8gtdr9kQv0AH6ewWkV3it/jvHq1rqmK4kuIznOd5TzJ+ymtDQAy9nfa 30KMkeo+/kD/kfFSU9FYH2Uuan0/u6y1Mg/wnP46WK85Z8lDFJ6/ROofPvIb 33dIvm4ZP/RYov6ReRXmzid+rGds8Ndnv6kvZ9cQDXV1kj5DfrqLzC/hG5fv iqzXk8vWc1vP+Lg+OyH5Hnh/JMTGJfPqcY73WtdURfElROcZy4uMuA+z3mhs DozfRJ1O9bXy53g7nhva1Vf66sjY9sG1mY7pOCiJqfX97LLWwt4xZ2w25DU8 /335aZ5sv3fdVwrxM5OxTJ8KuIfHxG+mih2RNe7n8m9Dje6nesZF+lVgjBC3 Obbucl5vH9la+hv6xjLJcUlRp4fh3Apgzn2CLe32DYdq4+F79ge3XaOhTg/1 qTEl9wh+IaDtT7e/+1r7/1rXVEXxJYXOA76TuN1YQ+CfJW0VWtNnOmw/8+Ul 2um6PB54D6fWe5V1Uuv72XWthTzD8nUqGQ46DHJhutRc69OFsFaYcjbL1T4x HPJ+Q+OY2J6Qoh4M81vUyf+p4q3wXnt1wrhcoX79lOOsXHM9NLS7aGgO9UaM y1cSjstHqPOLTLFPgDHBnt5Uvwjor1vj2tJG6aoXws7I8/DxwHuSdWlfNtqZ apwUpQRS6TxXz9R+vHvMmj7YV1F/t3Bs+fJ8eb39e7mA+1GWRa3vZ9e1NjQ2 eQzoJ1iXbbIb1vSbLSD3yVCNgkdpX+9hGdc1/9SPxb1OsZ/4yvMh/Aqly603 ZNO5pmdsbqZ+vRXXetEyNj5xVtLG45oTzMT0oUrF71Aan9Cre8YEsH3noGds 8B61PWtyb1bG8jSObYqR64RtcHhWbzDal3KcFCU3ITrPzZbzJGdnvoeGjton Xiygb2vmWNun3zvkgUPeOzLmfTxZwL0oy6LW97PPWiv9dabmR4bci2fZ5oOD 53NsrYRcdby9xnfaf0s9CNe9RLv9dvbTcd3Xj2HjAY9QJ8OlHMPYufXQn31y 8XFy8xNu2jE09/54bKAX/eNibG5wvObnKSynhIRjVVLqooB9QmPE9cCus6Wd vc3U73n+Y1/1WnKLp8JxL9DRscH1/gvys4s+S93z4pNPwgbrWl+hetdURfEl ROcBqD/a9w69lOleZF7r3P26NF60jHUoqo8qU6j1/eyz1ja0O4hzhTWBv4l4 alOmhl3ggKblHYEsbtp/Pkmd3vFNh2vIOJ6pMTKhOcl8kTJnqO2D+89m12Gb Tuh12fZjXvf3ibFx6R+28Xxo4n1y7aTXJlzDFak/fyTwGtjrs8k1d0Ro323G 2Pws+dveWOfGBZqJ7ZE22VrXVEXxJVTnAU9Qt3/xZPtv5CppCrgv2z1qbP00 oE++QUfnTAgx3iHKOqn1/ey71kLW5NxMXw/4vQPj96D74Lmz5f0PRfrBslwN /gmHczkOO0ZNydDaMyF8hjr7R0hfQteU/mj4N+wHMXP+N+1Ysx/67xf98886 nCttPFPmi4wbSTkmALmq2dYT4nt4jI76CR5Q/Bhh2AcRi/wbYkz+O4fzpL4d w7eSY+8+TfWuqYriyxSdh4HtFmvrBwX4/7aA+5P3yD4YudtTM3hfw8Z3mnbv aZs/hQuYI6qDKiHU+n72XWsb2smcITHkpi/bAaXdi8I74L+nnfz2IHX7YH3P uKxFFCvuPLSWvS8yrsfXBmLaEbB+pq4/y7mJMS6/n7r50Hf889TpDl+a+Ns3 iN/2yV0eyhfF2Pj0K+aptIdenKGt/7LoG9h88LwM6b2x/Sq5NuntVO+aqii+ TNV5sFZAv3m35VpY21Pnbwu5RzPuVgkHvhSh+a0fbYGPB2z+WttUcaHW93PI WhuSK/g28RvYt54rfyLvG39D/H6f3iNtPLFkfvaj8snFHArLnz7tv4727QjX zDQu91GnD/4z4vdteYY4f8aHKE7+jOeo8zlMma+aYVuPT04MjIvcu5trXDjW 6X8Vvw2ZaWs5NraNB8h6TbWuqYriy1Sd5wnLNSRjexdzATu/fN9Azn61gHYt Afi3mD7Qr9PwvOjjxgLuRymbWt/PIWttQ52s4yqDXiV+Y87YOd6z/r9oP9bn BeO4H1GaWjcyB9bDie9VyqAu92DGP81hR2BuoW4/38w/ZOrDj4v7ilF7taH9 WPk57pfjelx9JuXzcmrGceHn5S/S0Vy45nMb28YDpC78OapzTVUUX6bqPC55 q68t4D4B57WWug/+f2sBbasd6LXs84Y5MSXPm9rglCHWpPMAyNTsrzMmh0qZ 9qkZ703u50OWQgyI3Du/Io5NIb8BrnXyIM1jU3ifGJefjBwr35OPzjguL9PR mpcyHw32qriuA2wksf0Nwe1tG1LnbmN+gdxzuN1Bed49L9NRXdDMPftQ+7mv fu2KjIH7JNW5piqKL1N1ntr27hvayQXSd/dEAe1aIkP1qYfAHugBdblBc9+H UhZr03lkvZ4xGU6ua1Pysvki94w5bgP7IHINQCzls+Tve+RKI9qQsjYp4xqT 9JDoA+iBMXNIhIwLOBBterLtO65xA34YsQ3s8zhH7jYG9qqxfQIZW4V90Dmf F1kfR+bRk/WAXmnHIdUegdSH30N1rqmK4stUnceWF1PyZZp3LfHhgI76XSjx 2FKYzgNeEv8uJS5MKYO16TwA+gHL133+OnItnismgeF4aDM/l5mjjPOBTa3H 08cctUklLrnnpI0HeiBkWMiv945c+8eiv2SuhM+M/J6E86bZ6hZdFO3636iT q38nch/JNjQzjcvbNO4TeiDuf+48ojKWxsztIHMh/nPU+elNyRneh5nborY1 VVF8marz3G+5hmTud28MsNei/lVx4DxvvG+F+SD1GR9KiAtT8lOjzmObzz7n S1vP+yzfS30Hz1kz8/3Bf6lP1+C9679C6Ww8DNsU5shjwOMyZOuRNh5+F3If PDFyXZwEHeQXje/494bOZ/p0USD9D/8UpbHxgLtontpJJnKfwJb/g208c8bw MM/QcA5vzJVfpm6uTKnRNQQ/L3+L6ltTFSWEqToPwNpryrGo44J3b+o8nDGB TH1AaltIyXUU7vN2TXu+1jRdN2vUeQBkOFsON6y/bEuR8RlzIXMh98Wp302d TA05fmo9nj6eoX4ZPxVyXMz7Mm08Z2hcZ2mos+X8luX7D9G4zsTIGix9v/XH RZv+foL+4diVofmRAtzbR9t7wwBIn8KtGJccteJ4XJ4eaPufoe55iZWrzUTm /fhZqmtNVZQQYug8AHkKDg45T7t1vtaakzK+E8A/fltAu5aELc+bCyzXvbP9 N/LtPBTw+0rdrFXnwf4RxyhIf50XxDVz+BHfSZ3c1Jc7QMbx/AFK51M8Zw1M 27hIW4/NxnOGxnWeX2yPwRg3lu9d7EQM50Me8vX70+Kaf4nS6Mxz1U4y6cv1 LnO15diXRWzTUF4Hth+C36OdHNIkaAfn/ZC52+buC0WZk1g6jw2sncgXUJtP ktw3le+sOWNPlw7mBXRj1n1kHldfPWiu+iNKGdSo85jtDm07ZDiWmdm/n9eq OfOBSeRecdNzzPtEu/9LSueryjH7kCcfm7EPpB/VT9vPbDYeMGSn+aPtNXBS nyzu49vGffFMz/f3UqcT/B51a3Hs/uHaST+YcUxAQ0fr+ubKbWiOy1D+bo4T A3+lbWuK2hrSRst5DHL0h7IO4KdzgTqf2g3t4gr79lk27XEusSZ87P0jx6XQ eZCXFLLsO8V13zVwX6VyYPQN7kfzWscF+9Kcy9zUM13J9d5S8rBmnaehzl8H Pv5bcb1ctnW2JfT56cDfi+XqXxTtTRHryfmw5o4dMXPrXRb3adq0WJY1dZav U6fvDMXUhOg8Q7I1dDD4tD0l2hzbf/hjNL/9jeF9AvAlypfbkJF53e+0fP8E 7dsNZXtT7O9xLvEPUH1rqlIP2PdhGQ/+YMiXfJq6ub21nMPfNQ7Xt+0vDR0X S4a4ZLkmg2e3ttwA0NNknQlb7WolDujbN6h//gyBfOjYV4XPgtp9ls2adR7A /jqQi/4/cb1ce0pDtoSGjubalTbd2G2WNUds8mRKOK4H9/nHxT2a72CWvz91 yK8e8vwhf4c6XejrNPyOZzsRLs56FutKv9VeC3qm1P/us1znS+Lcx9uxke/q mH0zlD8uNehLtvXg5vgec9Ukl76gpi2S2ypzG6a2S3Fs0YNU79qqdITIT0PE atf59noXjM95fkMfMtdK2E9Oet733DrPBy3XlNSoMzS0y2dwglSeTg1ifUL9 3CR4N9RmV1TcqPW9HHOtZT2CYzA2me5JytU2HeNx0c7n28+2og9i58xqqNtD nzNeHpgxGLg/Wx4c1m1wAB//IXEu83doOJ4H+s2nBL/YXpO//58O+TWy50OG n/bn29/9KHV+dDL/X0y74VBu5jmQth74iqWKj/HtC7MNv0rd/JC5qeW4xJZB uD3gZ6nOtVXpKFHn4djGcz3fc27fKbU8c+g8D1muZ5IjL2RKtqSydQqwrj9A O99MPCchz6rWXlomqvPsYkbYpgD5Opdf25Asi1qQvF+NeB4ZD8nvOHApcpty 5Ahj/p4Ylz/Tc8xQPE/Tfj6Ut23Mtw2fs+7zNw75vuUYGX8kZWv8vswBGMsv Q9rf5vQ5lPfF9wseyNAG5hGy+/nJGrdmTSFpg4tt60FMz+co7vqk5ANjB5+x SyOwX9nxkeNitOkC2W08zK00XT/IofMct1zPJFecbQqg6/D7Qe0K6TigMJ0H 7+y723GpzadS6afW93JsmeLPkn1PeE7YL+Z24/OGOjsC2vcR43s8j7x2vkJx n8+hWkGp+RHt+5uZ931GfD8UjwP9kPWWrxvfucTz/Gui7/+i8Z2Mr7LVevoO dXP0IFK/sD0wl84D/kXRJ38vUxvA03Q0ZxvGm223fTWSUtp6PnnIb7R/c/WL EgfXfSSW1+doE+tX257vb6Pp78UcOg8Yi8c4mHHsUyPfDfzurtF3rwZkDiQf 3in+Pklac2kJqM6z0yl+mfZrFubIucvxz6Z+IX3a+vSxO0RfxFw3OUdYDp0H 68vv0r59yzzGNQcBx22Zth6X+jw3iN/5d8XnDdE/1KWG6iRJH/UY+fVy1eiR YP3/PdEvqWpEjcE2Hhn/JnNqP99z3t1iTGLberhN78nUJ0o82HYzdhzH3s/R pk37W0M51c7StPUml85z0nJNSW15q8d423LP8KnSujHxwd4W65mQlz5Bw3Ot D9VL60Z1ni4m5s9TJ7/a5OuUcJ5bM3ZG2jqG2iTrE8f0eWbb02sZxphrJf2f 1MWPmDof2xrGdJ4nxNjKz13sRJ/uOc4WX2VDxs0fROqbsfzMKbmuvZd/hfb9 x+auP4Fnxow3+4kYZ8RWNQPny72/mLYe1kd/M8PYKHEp0c7jIv9P1RFy6Tz4 Paz7Xzaui3fbkuP/v0Pd+5v/XimgXUvmBIXpPEvUvdeE6jz7NmbYAfrk65Rw PcMHqatF2tB+nrahnMvgoriPWL7BMiZ77jGWvs7s22fa4HisXHQerk16xjh/ SGfCGPwaHbVnmPFVY/eyoe59FqNvxmoFpUTWGv9/qJufQ3pfCmSeajwzb9F+ 7aofjZwvddGY8gW36QMZxkaJi6+dZ6yeTaw25dR5hmTBWPd4d9vv8OND/ZU1 xFPgntlfg999udu0dEJ93uAbjffgJcpTo0EJR3Wezp7A8ijkat6//8lM9wP/ Kd67f7j97HnyizE6JvrjYqR2cV3SuWv0yHuBTvosdbLsF8VxLnYa8Kn22E8Z n4/pPLjnv0mdXA+5GjrXUHyVDVl3Ika9nlsoX5zVVeJe0Bcy7+GzM7ZD1sy9 nrr85pwv3OUaMq9pLLnqA9TV6Jl7bJS4+Np55ojJ2NC4bbJ2nWfNYFxT1NtT joL3F+w9LAMCWQt3iHvav1+l3XtEdZ86qHW9irnWcrwF54TB/jDLs2aOtFRw 3AznL5A+Oj5+Q1z/LFaeMHMvfa7xlfFJ/G7/Ih3VcVx8274uzjPjTsbief6g +I1/r/3sfeJ6rrbARtxPjPiRnHFWfB+cy/OHoj/wd659gjdpNy9/jfZjeHye F2mzipWvUXWe5YA6OC65wkw/mb6cajHgHAaXe75PncNgbp0H7zHeU/8Oxc9N Wgvog1x10JZOQ/s2nBDbz5MF3Icyztp1nuvENQ7E5zJW45dmuB+ZH03mncLv j/noSK4W9xPDnsBxRnPHy8t9F/7sI3Q0foT7COMFu9hn27+ozcI1drjmqE2v YbsA1+d5nLr6PJ8Rv/fn2uO/QJ0O9EXL9YaQa+nUHBm54qy24h6kjvCsGAvE 0cyh93Af/PNiTPDbLnY3RsbBxaod+wFS37alAP3irMNxqAGC/SYZj45zU/hk ca7qEz3fX26/Pz/hN1ztRKl1HsTyX2X5nbXtq2/FvWOd0rzW6WhovDZuH0uO OVsKa9d5pE+/9EloaD/fbUqfHalX/BztxyT46ltoN/sCx9p3YN+2N2ccX74H c4+V62FCxn2cOr1E1iHlf+M76C5fp/5Y9r/fcy7X8/lvaefbBp1U+teFxOzL uTZ1v45tHGZdmtQciHsw5aHnaV77KPz7/tgh/68YM5/9AUbGwcXIl8R2nhwx cEpc2Cd1KKbHPEbafLCOxY7xuVlc26ZTsR3Ix9a0od1zwM90KTrPxvIbTMya Z6VzN3XvROaqFd3/3Eg/Ex+wz4D1AHu2V+v4FMnadZ5XxTXMfSPsVbMc3Ffn IwYyf8G/Q53cHZo7TtoTYuyFzR07ImN5TH+jhvZ9y1Lb4NiW8FdpF8PDsrWP LUHC+0evTGyXLf5rDp5q27/p+f4LYmxS6z249/+dun2JLwVeR863GH70v0l5 9FElPjw38LzafKpkHU25936Z9t9Psf2x2If5pPE5/y5sU43jtaDXbERbT1In X+fUeaDbvWT5DUkMX4ZawHi+QPu6D/69LaBtSwTPs8xv9T0anovg28b/sWer Od7KYu06D8ugfX4tvLfvGyfgA3zGEJMA/ymW36bIi7L2SAwZjmNHbplpbOU6 Y7Phwy/so6KvUuo9kFt//ZB/gbr4ql+ZcD25f7SdcB0ZZ/XYTOMCWNbqi0lq aN9OmUrvMXNL+PoZ9t0XmLo39x7q9jDmGhclHWw3YRkT/4csc1Z8/oLlvKuN Y2LllQFST9m015btDLFXbmm3Ty3fqzl1nuOW65ussUYkdEFbvrHc7Vo6b1v6 3IXXSfWekqj1mYnxvMtYz4OB4zgfFO9dN5HvBTaEP0ydfcc3JsFGLHsCmNuP itfzobbD5oaDQn0AXcA4/7oYlxi/I+fcFH00V5yVi/zGOaPZPuqaQ82H+4xx mfq8yDi4qbkM3kOdPjrXuCjpwHyWOrEJ9ISm51zs2ch9+Zjtwm9eoE5P2dDO r26qfAWZmvWnsbiRlHL3Jcv1VefpwDqVam4pdkJzW695npbGmnUeW24wGw2l 27uGHelDxrWnxreb9zY1dypkapavX55hbPtieUwg57K9J4U++n9QJ7fj7xci XTeWTYH10Llq9DSi3Tc6HCufmak6ick/Sv6588baK+tBTbkW23lU51kODe1k cNYvYL+BXuCyth4T5+W+j9ik1Hnutlxf8gZpzLi0PeRuyxpAf/8M7ec4gP+l 6dNmA7bXmylOzKgSzpp1Hq7N4WILMesdxpCvEVvPMjWu+59EuCYj89G55Fod QvpRzVGjx2dvBDFXH6X4OiNyWv9T1PnP/Y8R7y9Wbr2581U/5Nnun9J+Xr2Y bflHqNNFY4w3kLkCp+iif53UzqPsg/k0JY9aqaTUeQBs4fdYfmfM1rxmpO+K xtCn4Vjbv/C/lL74fbxu/J9rmua+jzWyVp1H6gSuPkYNdXoP2xVC5C3oTzLW G/w1il//RspwU/wdYNthO88NicdV7u252oPluKBPcfKUfBNfEmODv3+D4tqP GnGPV024zjM0rz3hWtFu1/1VOS6IuZlqH/2xuCb0nf8l4v3JWj1TbKOfJNV5 lKM0BbQhNql1HvTZRcvvfGeh/Rl7TLCvu9Z6RnMBGXDI93XITrmmfOulsFad ZyvO9dG32d7DMjFyefnUIkH8O3IhsH3nb9MuFjtF/i15j1P9SVm2Th07Im0J Pn4LDe3XVILtxze/OOTpL1Ino+Pvv05pcjfEsClgLFi2niN3242iza66Pnza 8IzIXIToZzwzrvrP2+05sjYS6zw/F/H+5D7IlD3kT5L6tinrILXOw2DPDu8D 7LuonDgM+sesL6P5w9KypX7dZoihHPhKGtaq88icML5rQUP7sjHnjYKMPSTH PU/79gPoPn+VdrLR7Yn6adPe49R6i2zneSTxuI7lbBvjl2hfZ4GM/aWRcQE/ on15GjrTX2jvO8U9x7ApzJ27Te63+pz3NnX7BAz6GrrQF6hff4Ke87hxnrS9 /TGK72vJ/q43TbjGO0jtPGsB7w68SyBTbqh7PrDvi+dl6b77c+k8ih8NHc1x gDUNNh/1d0vDAfnbeyCXqS46L7WuV1PX2lcnnMtwPjcpj/3OIfdSty/NMfYf Mv4i7hprz2uUtvaNvM9mwnWeTtxORuo8oddg3zSZG+Kj7ec/bkH/f4b29SP+ +6cP+R+ok1tT2LakTcGW59YF9jmcw/4GWB84FXAudM4vij6X+wX4+7wYm2ct Y8N2HehOf1DcdxP5Hl3zmgyhOs/ywfNr87myAX2oKaDNKcip87DtJ3cflAz6 SPoUTHnfKONgXWB7JDhH/evCt9rvZX546KRNAfexZNaq83DOwan2D8SNyFzW Utb+EB2160D2/ml7bkPp8w1Le8KUPce54uVd8lS78HY7LpzfQMrZ/FfaHDj/ Ade1vJM6uTqVDSVGvBXPn9S52xrR1ik5tuHrJvUaqdPY9E+MDfYRfkSdPYjn YgrbqIwnOwi8Bs79AGl9niVzkrp5sqFdjmjOrQxd6AHal3em5pEplRw6D/bF kFtR+m9dIbVfDAE5YJNhrNZOSG5rnctpqfUZmLrWcj35WO+ihnb2AdOHB3Ld Z1vM+BLI0ixX35mon+4VfTQ1R9gcdp7Y4wKgx3BMidRxMDa/KsZHnjNHTaKt GJtrA68xl/1NtjVmvhno/x+lfXso+xZCZ7X5vaW2jY7VKR4D5/5lUjvPUuGY Q+SrNv1STfsg/s3+RVNrBpTI3DpPX82ee2i5emVMNFfYvMgcrT4cFND2pbJW nSeVnRd2H5ahx2qSzFH3phH3OiWPwSM0j79ODFtCH58V/GjkWLYlPJ3wXuXY vDphXHgOpRwX6XOYwv/4WdrfG2h6jpujFuvBxHvFeVyjJ+WYKHm40o6xLd7Q Zk8/1n5+soC2x2Zunecmy29KvSckBnTNcN/Bb3npsWe5QLyfmVPCzF1tMiWe VBlm7TpPzvq48EeaQ4/g98STE67B+lnKtrJskHtczoh7Te0zNiVGBtxA6WJb JGx/22QeF5m3IXZud2ZL3Ty8I+B8nPc5Up1nqcBuc2Jg7G0xJjj+bAFtj82c Oo/LnrnaeqaNX+737lJpaGdj+x651fMB8G97iNTPLTZr1HlCasCkYC6/JBlr G7pHL21SqdopY4/uzTgu14t7vW/GsQlZ2+4TbU1ZLzaVXdQXqXunzM89xf7G Os+DVOfaqoyPb1+OWZudB7BPVu62p+iLuWQIF1lRdR4/GjqaiwP7cEv0wywJ nzifJ9vjtwW0ewmsUecJrQETm7lsCVtxv6E63hy1YGLlmJvKneJeU+oRQO5d PhFw/mMztFU+LyF2j5jM5WPJvgghMhT3leo8ywTj2Vfnse+dwrURcrc9RV/M JUPcZvk9tVPEAfuNMq81y9pqY0iDrHXnCvx1bi2g7bWzRp0nRj7aqUgfndS2 BHC2vd/QuGzOY5bSnhArl95U5shfwLxN097Xz80wLvJ5ye0vfwvNYxuVOfV8 z+XzPjDhGkq5ILcs1iibPNhn54Fv26aAtsdmTp0H9O2P/zxN82NQ7DV9dO1K A977LJP58G3Kv+9YO7XO7SlrbYwaMFOZQ4eQSBtKSB1rmWMuVXu5fbn9pzhH Xcr8BZIpNoU5dOcp8n9MGurm4JuJf2tKzgbVeZYN22ygx5h6j20f7f728ysF tD02c+s8eBbNuo8v0W4PPOS9phwFc5rjTHXtSgf0HrxneD5v6Giugz7U/hbO GnWeWDVgpiBtCc0MvydjmEJyoknZOkW9mlJirM7QfD6HzBSdohHtvSFR+/h5 ye0rL21aqXK7M0+IMdl6nsvnvSdzfylpaKjbo8U7BH5u94uxl3aeh8SxS8yL NbfOw/2PvW6sR4gJhw6qMmC6sc3djjXhGuej8VbhrFHnmbKvHgu2JXx/xt/k vZsQ3zEpb6bIESzjWnLGWL1M8/ocgqm+lqlzN5dif5MxZalyuzMyduBiYH/9 9cz9paQDPp6mD5DtGT7dfna6gDanIIfOo+Qf79ztWCo+cT7Yu8b+sOr7ftS6 Xk1Za/mc0JooMeC6io/M+JsH4t5D/J5TytaybTmf4bnyoEmm2rjm0nly29+4 FtHtM/0e+xz41krg/vpc5v5S0tIccoGO+uVLe87plqXKJarzrAcZewpQv+D+ GX9/DVxLR5+pMc7qOHhR63oVutaWkINqjrqKNrbi3q8NOJ99qFK0uZT6L8/Q fPkLJLxnHGJ7vJ3SxfVfR+XoPNgneDDRfdqQ9jef+uW1rqlKOLD7wL4DP7fb jM9zty0lpeg86Gf4CmCN2pLmMkhB0/avGXOCdXKpOn0ODg75Ftn1myFy+sfU RAnr1dR2+7S9hBowqKXIcnWquoo25D5NiI2L9bQU8eOl+E9xzaS58hcwHNMT Un/505ROF7hZjE1OH2LeJ0ilc9uQz8tVHufVuqYqii8l6Dzb9rfvaf++0f7t yyeuTKOh/RhUAL/5nxbQtqVwhY4+W2Ng3qvuOU7u9SpGu33aLvMxNZnaPket mz6mxDKlzBNcii1h7vwFjLQp+NrgODYsxbiUUssKewP8zMy5T3AV+a8Xta6p ih/wJ0H8/GUaljXg/7ZUe09unQf7MF+1tIPZFtBHSwXvA9Pmo/a1eEBnP0n9 c9uGjz/CWqn1/Ry61paQs41l1LniEiSy5nJou38QuU2l5GybMy+YyRQbHNt5 bknQrhLsoiDXPoG8f9d941rXVMWdE8Y4I/arT97D9331fGont87zHTraBslT BfTRkmlo3+ajMncaXHWeGwtoa+nU+n4OXWtLyNnGcQlz5i9gLok+8923/xh1 cmfMNpViS5gzL5gNnpu+efVSxiCVYBcFufYJZDzTgeM5ta6pihtyvZL05WZj /WiJvla5dR4XOVDjHPJwG6ndJxZjur3kHO38E3Te26n1/Ry61obupcfieurk 6jnzFzDSpuL7Dv4KdbJ1zL12GTOSs4YF5wWbO38BcyD6wccXRupqsdtUQv1e wHkacuwT+OaXqHVNVdyADoNcSfyMyjz7fevXhpaZr1p1HsUG5AzkUn6FwuoB KvvAD8SsxeuC1uk9Sq3v55C1toScbfCZYrl6rlzIfX3nmy9AxlTEbPsU21NM bqF584KZHBP9cOBx3g2UTlebUi81FtdT3n0C35qsta6pihvn6eh+0YV2vE/0 nIPjNwW0PTa5dZ5rLG2QfK2APlojx4yxge+C6p7TgM/Be2l4vptsaJk+tVOo 9f0cstaWYE9AzjOW35pMbWAZzjdHWKp4lxJsCQ11ekOKvHSubKh7R7ieI+08 j0Vuj6+8nwK5TxD7/nz6wPV5qXVNVdzH13x/8H7FpuccfvfkbnuKvsg5328m u6z38+3fbQF9tFZgY9gY4wKbqPq7TQN6vJk7YogrBbS5JGp9P0/VeXLtOXBc Qop4c1ekjuGz/jSUZr+9BJ3nMcqTF8zkVdEXb3u0PZXt8EnKr/O8Ke6vyfD7 vvOz1jVVcR/freXzTfudzS8Vud3OFtD2FH2Re75vLe2AH5DG0+cHNgZp74Gv G/aOcudnrR0ZZzrGl0n1TEnu9Wpqm33aLmWXXLlDc+VCljwh+sG35grbeWLG VZTgP5UqVskXWYfZ1RYp7W+x9TVuS06f7JR56VyQ64aLn0CNa6riDuJybD5s 7N920fLdCdJ4npQ0tNNxHqCdDtQU0DdKB95rGypnviwFW5/a0HxuHTXOvxg6 T452QzZlW8J9GfsvJBcVk6IWTAn+UyxX58gfLpExPa4xZw9TGvubnCc59+VS 6Nk+yBh1F/twjWuq4g7rNn3+beC4+Px4+5nmbVPWDvRSzgmj82U6N5JdHjaB bIX1R3Ma1Lle1arzQM/JGZcg4RwgT3qex7rBaxHbUoLO8xqlq+vpC89Rn9yC rBfE1HmkL6ivPTAW11P3zOTIXxDSDzWuqYo7t7Vje97y3Wmyv59eoWX6l6jO o/jS57OtOQ7C+nJD7n5uqN+b611eCjWuV6E6T24fKvizpcop7Iv0sfU5T/qA xWrLTZRX53mY0ugMoYTUkOIxiWkL2ZKffSMFnL8AY5Mrz+EZ0Q8uuQ5rXFMV P7Zk92+DbfQ87c8BxPEsVc4oWee5X7RL97fLhscJconmGfMD/dW319LHUtcj F0pdr3za7dp2tif42jZigXiEUmwJoTYv1nkgg8aq2xnqZxeLu6jTGXLmL2C+ 1vaHT+42tr/FnFvskwNy7VHLnHRNxjHxyd1W65qqxGNLO18SyBZLluFK1HnQ 3+8y2vUGab7kkpFjhTX2Ei37uYkN10PiPvwuHX02JXg+bi2g3Tkobb0Kabev zpPDntBQGbmQGanz+OyByZikWP553I5cMSNSrs6Zv4CRudtcz0mRDzCkHbEp Ic8h8Hleal1TFcWXEnWepyztkj6GKkuXB9ZUM//yB0ntcyH9KN/bQ+SMJchJ aetVSLtd2x7iMxSLVLVtQgmtVfQyxY2vkO3IFeP7SHs/MWOUpnBHwNik8Jvk PQIfe1NsSomz8pmnta6piuJLaToPx1qpX099NLR790ndh20+udtWE301q2ys Uf8vab0Kbbdr2/nYHHl3S7MlPCT6w9feHzNH2JR2xKIkn8PQPkkRZ5W7Nk+q fHSh8JiMxfTUuqYqii+l6TzSHqv723Vi1vTJKRvUCPpvQ+PPwVr7taT1KrTd vjpPDh8qtiWUkL8AyL0A3/5APudYsSPSppHr+WP7Wwk+h+DugLHhnIC4j9g+ h7lq86SsOxSCa0xPrWuq4obrHqovue8rRl/kbo+LzvNUAe1UxkFNH7b55G5L bSAW9+O03HVnCrXee206z9MUP8Y8Vh/69kfMGj2584c/Rp0umrNm0tSxkfcR I79ZCbV5pG00Vr6MKVwSfTLkZ67vlWWjOk9/X+Ruj4tv24sFtFNxo+n5XMdw HPm+GgIxbjnr781NSetVaLtd2p47boTl0WcK6DuzD0N0HsiiH47Qhtz5w79J ZeRCNuG6ba57krHjxUqozVOybXRoDVmKPKvYwdifbcf1RPv/Pk60x6Ee2vGR Y3PfVwglznO2x/bJd00BbVTCebEdy6vILxZ5jQzl85DcQ371AGumtPUqpN0u bc8ZN3I9dfvVJdkSWK729W9mO08MWTR3PdIbxL00BYyJ2S+nHI9H22PGvmwp 3/PC/IDqtI2qzrNsbiW/vTPO+R77OYIt9gJ19aXPHXLxkGM9x2/a42TcckPd e2CIcz3XLHGe456Qi/erol34N+IT7y+gfco0zPmKfdM1xuK7gH7xyWlwbQFt Tk1p61VIu13a/qI49t6Z28p1FWPmd46BT80RiazRM7UNOXPpAbZZfb+A8ZCE 1IyNWVdV+hzmqs1TUm53hvtkKMap1jVVcQO2m43nOefIXsM0FDyTbGs61V5b 1iW01d7g70z58Fz7+aa91nkLp3vaUaLOw7wt2tWnByr1YdaiYRlmS6r7DDFk /2TevYI+LHW98mm3S9ulDNfM3NZS6ioO9YlPHnxpG4k1jgeZ+qCUXMhDY9M4 nnN7xHvJHWcl60CVZBt1yWVX65qquAEdwNcXDfaYsxHbwLadG43P2Z8Bv2Xu VZw85EpP297Rfu/bjpJ1HmXZQI/l54D1HrXl9eOi84A7CmhrSmpdr3zX2pxx I+wLdnsB/SYJjdmQOtyU35fxpjli6BqKaxuJibRLuvoss80qhs4j18cc9895 6Eq1jT45cEyta6riBsb1guc5rFfE+H1et/vqZl3xbGNDnc3IV15UnUfJzQF1 8t2XSedhHy45DYfWlaVQ63rlu9bmjBtB/ZfS4hLMfvTJRyxrwUzJpyVjrLYZ 7l3mOiuhTmxf37jGAbBufUuE388dZwV/ttg1VmPg4nNY65qquAE7z4bcfUC4 Xsb5SL/P+pNp42E43sjn9y5T59/m48tak86DccDeHuRjPMdrrE2yVJpDvke7 2LncbSkVl5yGNTzHU6n1Pn3HKDRePwYlxiUwbBv20e3vau/nGzQt19kTYvxy vH9gS2C5uqScbWdo3wa3dTwnpp6QW+eJqb/FRO6V9cm8ta6pihsyF9uYfoDv Oc7G1zbUB1/PFrPDvxky/26kTu9xtffUIitt6Wjs+xu0e+8tPX5hzcBn/2od 43+Ii60n1jpVKjWsV2Ptdml7Lh+qUuMSmFdF3zQB9zRFV8gdJ/8mlZULWXKM /OestL9N/X2XuJWU8Px6pICxkFwtxqVPT691TVXcwFol5WfoPsiXdlwAuUH6 h9ria0LhvC9DcfncPt/f5BxzOH/rcHwNOg/6YChnr+o9y4X9JRDrs/Q4FVfY TmzjddrZQdFXS30mSl+vXNo91vactXm4/ktpcQmMtLVsHc+ROs+UezpwHL9U sC3h6QLGwUaIzhPLzsO//UKG+36Yyo2zkmuJ6jzrBfrGhvplB1Omjpk3zGWf aMpektTrx/Z8a9B5ZGxkH7lqkClpOTDGGXu8a8/hh3yG2KeRudz71q1tAe2N TenrlUu7x9qeszZPqfVfGOkHceB4jqx/OcV2xfugm0z3zvdQmi2BmWLneXjm 344J+06WVicWuNjfal1TFX8gK5t5ot/R/v9E+30T+TdT6zwA70m2FZk5tofk pNzjYcPFn2dNdejXBsbW9GvEZ0u1Y7hyc9sPQ/nc8F2uWhWpKH29cmn3WNvl mje3js+5tEqLS5Bs2r55yvH4hjrZeso+fM6YEbYlxKrhmQJfWwvXgcJ8m2pT zCkLxNTdcoxLrWuqUgdcT2con+NUnQfgXcn53G61XHtJOk9fPghlGdhq+sB/ e+15LFzyGiwtvqf09cql3T46z9zthK5TYv0XCesepzzOYR+qKfrCTe3vfi3D Pd8l7uGuAsbAhm9MDdvfpsZZXUd5dR7eJygttzvDz0tf3o9a11SlDnj+9flj heYwsMHxPbImaW06z3akzWAN9eeV3ThzPBzr87nblBPOWzLEx2lZtp7S1yuX do+1nd8Rr8zcxoY6GfRjBfRZHy75d01ixFvwb76a4Z6lLaEpYAxs+NrBoOd8 g6brPDnj30CpdWKZA9E/Nv+IWtdUxR/YWrAPavq24Zk9Qe61tXxgOeViz/cc j+Ozh9UH+3LKd2dtOg84GGizxravi4Z2ea196nMsFd7TGCOHjJaKGtarsXaP tT1XDioZ619a/RdJiB2M9YUpsTAl2BJK9jkM0Xli5JbIGf/WUBwbYkrGcrfV uqYq7kDXlXWuhzhNcWMH+PnEPvVblu953XjA8XonaacfbQd+61zPubXoPMeo q8vAYL8/h4+BUi7YT1iSTcOFl2h8DdsU0M5Y1LBejbV7rO18zNx6fam15E1C ckYj19nUOqs5dZ4YOltqpEzlcrz0bZuiL0g7T4p9apd7wNwq1efwbhqeu7Wu qYo752lfHoBN55LgBO3ndYthc7H9vhlTxvo47DKuetYlcR/mOSfb7/p8+mvR eZi3RVvXHsOu7CPz+8GusZb5wc//EE8W0M5Y1LRe9bV7qO05YxOeoTJryZts RR+57utznudQnUf6nM89LtdT+baEMxRuf5vqc7gl//kQC5lv++UCxqAP7h9b HoNa11TFjcvU2Vm2I8c+RF3cQMx8yFg/N7Svc8n8S77P7UnjWhfF9aFfNT3n 1abzKEofZv4y1xpVS4DXqD5y1KxIRa3rletaK/es587BX0P+ArOPXPf12Tfs wxF+c+5xkfnNSsuFLJE6j+ueUwydJ2eew0eo3Dqxkq9R5x9jflfrmqq4cYX8 ng3oJ5ApTkZuR0M7+wvbfDa001dCfXOwDsMP71zbXvx7LJ5vCTrP/bTb43/R Y0yVZYIcBxwLwawhpx/ieoZ83Jbk71freuW61uaKTWiok93eLKC/hpD6h6vN 5cM0TTbNGTPyJpWfvwCMxY3YiOHbljPP4Q9ous/kHLwq+qgxvqt1TVXc2JC/ /sK+brnbHpuadR7sI7F8C3nvnkPeoF3NhrsLaJ+Sh4aO5jdH/c6l57qw5XR/ J+1iQra0nP2AWtcr17VWjuOcsrWMSyg5f4HZn771Lx8M/L2cMSPsl/d0Af0e u49i1FnNqfPUsk8gfb/Nsal1TVXcwLj65jNkn/ncbU/RF7XOd85ZbAPfrSWe Q7GD9y/nvVhLXmvYc/D+/5lD3kXd8/AJ2j0TS4hzqnW9CtF55mzfDdTJbyXH JZj9eeB4vIy7CPm9EBtGLLjdzxTQ70NIncd1j+lpmu5PGZK7PAZyn+C+Avp/ CM7haxubWtdUxY0N+dt5EB/Tl/usZmrVeeTaagP2nqXsayvhNLSTIZdu45FA p4Gu1+frVnuO7xrXK7PdJeo8pddVNHml7SPXvMicky40JiYkV1wMZD7n0uXq M6KPXO1vPO+m6DxjNTdTcZ8Ym5LjrMbGptY1VXGD4/1dZWLWj2PH85RArTqP zY/HZO7aFkpdHND8schz8ASNPxs1x/fUuF6Z7S5R5ym9rqKJby2Yx6izY03V eea8T5k/vCa5+sDx+Kn59MBTlOedL+Oscve7z9iY+15T1lTIxzJnFvbbEKdu 8yfgnJSbnmshvxji0F8R17rUcy3FHZkPejty7EOi/5coH6nOo6wRmQ8YMWE1 6wAmLs/GlQLaGUqN65XZ7qG2+9Y4icHDFCd/1pywznOT4/FT66jk0nmeobrk al/7G+s8U2qt5rJh1xJnxWx6xiZ0Td2K86CrIO6dc3JhHpjv1Wbgd05Tpw+d MK6lsQrT4f7l/kT/HhdIvZX1zdxtTkGtOo+s09PH3D7XSj0gv5ucK5CbINMs Qfdx0Xl86n+VRo3rldnuobazLD/nOwc6AMvVpdZVNPHVQaDXTalxkytmhONd apGrfe1vj9D0mlA8LnPXTWIduvQ4K3NsnurpP5+5jfcH67emrHWh/fy85Tz4 S5l7bsdHjsd3Jwrov5q5TvSly55oU0CbU1CrzgPw/N5juQd8tlQdVYkHx72Y usC2gLZNAe+fobzVzBMFtDWEWtcrX51nTjs1fHRY7mwK6CsX7hB96ZsjLETn yRUzUptcPVQHxsbU3BIyttc3N9UUrqc4ebbnRK4tLrLv0LVubI/pi/k4R+7P JmTsDdn3qWUt4Nz9twTQxw/Qvt2H7XQ3Oo5XzdSs84AD6nx5GfiGLGG/XpkH yE7mO6BmP9aGuv23IWqtW1TreuW61uaITYjhXzQ3Uta91vEcllFD9IccuqiM QaohfziQdWBcjucc4qH6dq66SRiPmvIXAJ7DZg27EJ2H9wtv7fmebT0x7DP8 PtO8VMpUatd5APSbA9rZtXnNu679/1PtX63Xo4xh8wnL3aZQXGzYxwtoZwi1 jo/r3GJZYk7ZmmXOKTVS5kb6N7vq71PyIufQeWrLCwZ889vdSdPy6Ul735w6 Ty11YiUyVnCqzjM2xlvq7AdT2821JlTnUaayFBlPgtpbXzXuC7mr8WzWGsOg zAPemXP7hKcAOr6sz2PyOtVrC611vXJda6W9eo52oRZPTbmQbX110fH4KTnC eG98Tp2ntvwFQNrfXHQQtmXFyCE+531+uG1zTbZRl1hPlzWK/c3ODhxzf3vM ZmKb1bdNicnSdJ4t2WW9b7V/Xy2gjUpd8BzC+6ImnXloT++ggPZNHY/a1itf nWcu3Xtq3Zqc9MVk98G1YF6bMH5z5garLS8Y8LW/cT69UJ07R57DM1SnbbRP P/RdU130EB9dBcciDgzPs/mO5bgT130N5Sg+eu7SdIKxvsjdnqm42G5zt1Gp Czl3sNe7LaBNLkD2kLmmuP1akzR/u0vSeabGkOfEV979GIXbTeYelzNiXGqS q2VfucqpU3JL5Ih/m5oDMBdS52ks45VT5+FjN7SLAZK5kzdUj/9giajO098X udszBfh63uQwhprDWvEBvpLIQSTnUE15MuS8r8lONXY/ta1Xpeo8bEu4vYA+ 8kXKcC5zm+PlH/T8nRy5wWqsmcRwTJqr/W1Kbokc8W8yt/tjBfS3K325DlPo PPzMbByvycfi+WLbDnJXIxdCU0Df1Qz6lPPsvdL+35XcbY/NknQe7GtvLPdk onFwSghS7gHQr7cFtMsVyIdmvp4XC2iXL7WuVy5rrcxBNafO8yCFxbjkhuuL u+5lSZvWyx6/kyM3mMzZVkvNJMbX/jYltwT/zpz2azmPmgL625W+eRyypvLx fXt/l9vvXXMYbDx/X/GD/YDXLv8uSecB2McYqk3yftrprpAnkN90Cfveynxg vTDzWtdgNzTzudeqt52hetcrl7VW6tVzjQtiW0LlzdzI/nLJL8+xI76xSzly g0m5+uEC+toH39xtrHf/IOC35t4j4PbWaBvts1eGrKnn2+Mv93x/pf3+guP1 2LZTi/9ETRxr+7bWXK0xWZrO05C9Nsnrls9Y5ltCni5lXqQMVPqz84SlreYz kLuNPtTQ52PtdrHzzCVb1+o/Ba4T/eWyjj9HnR7h45N0I80/5x6h+nK2MVvy m8eh+emOkd/4xwL7BLXaRrm/Diyf+cxvrr9js+PguWQ5zHUdu+h5vOI/Vk0B bclNLXKbD7DfmLHb77Tcq0Tr9yi+YD8K+yZvWz7P3TYJZIE+nb8mWxVT63rl a+eZox42/Ltq1nlkv7r4NvH9+saeX6T559wUf6/c3C36yyV3W4w4q7nqx3Oc VW35C5hN218y1ipkTW2oq5tj2nq4Ptwpj+td3XMtZTqwyc0Z71YyS9R5GKyH WAevtdynSe25rJQy4PmEnAel+M2avng25pIXYvZxbeuVy1rrG58yFWn3qC1P NeNbNyck3xb7hvrIcFNhHSAkrr8EeB675G4LjbPa0rzPC7hLtLW2OCvA74NX LGPlu6ZKu/RpOpprzWf/7yFxHvziEBN2sgX/LuV9WiPcr7nbUQJL1nkY+Vz2 gXUAz9S1BbRXqRdzXpXgN2naPG24+lyXQI3rla3Pbcf5xkFM5U6qM/+UhGU4 V50nxK41d26w68W41FYn1uwzl9xtoXFWcz8vgG1SNcZZmX3G8cxT1lT0O3JL b9rzQ3OtyVxwNlzi9RQ7HHt1kcrzQ5mbNeg8Zr4tG9+mLh8x/kJOXPvcUPxp aN8PBlxFeeeS9DMZInffuVJ7m111njnaVWv+KQnrPB90PD6kluTc/gCsi9ZY J5bxyd0m7Y3f9PiNuZ8X8Ejb1tryFzA2W3KNa6riznFykwFqlgtcWfr9Mba8 BmPM6cegLAvYC2WtKPw7px7tMt9LsEn53kvutkzpf9txc8twobHjJXHg2We3 kH/8+dzPyBJ0UZ/aSQ118/AGj9/wzYkdg1uo3jgrYMt1WOOaqrjTUBdjpTrP su+PeTFwvGuKc1DKArkNbOtMjrZI2aD2ta3GNpvt7mv73DIc59x9uoD+CcVX T+R7LlnnqTUXssQ3Ni0kzsrXr3EqTWA7S8Ocz7WuqYofiN/Ac6k1Sdcx3201 GcfQXBfKVJArWuYRyNGGS9Q/x++hnW6Wu59cqXW9cllreZ48OVObas4NxoTW gilZ56ndlgB8c6rdHjAuc+s8Mu7ozgL6OJSN0W+1rqmK4suadB4GfkeIsTuw 3P8QXL9R65gqIdiesbl83Rra1eP9Mu3P6TdoPvk6dj/Wtl756DxzyXC8Z11r bjCwFX3qYk8o3c7TUOfn9WYB/RuKb62pkHGZ+3kJzS9XGmYMXK1rqqL4skad h8E6/AlLH4yhea2VGPB8mjOvNWqpsv8U5jF8Ps36QqVT63pVos4TEkNRGr72 BLbzvBYwdnPoPEuxJcjcKS79FjIucz8vS4h/O0NH/UFrXVMVPyBnIJ8BaiAN 7d1foOXmBl+zzgM2lj5wYanzQZkPOZ9ga8F7aC67z/0F3H+MfsvdltB297Wd v5tDhpO5smrNhwzuFf32osPxIXLrnDrPUmwJvv0mc0D7Xn8unedp8ve/KxEZ a2XW8sjdNiUNZj5Z5K/ukzfw/YaW6dO0dp3nWHvf94g+GKtZL209NdWvV8oC 64mtdk4t+dNyUet65aPzzDEHUE+x9to8oPHsN5atHwwYuznG5RFahi3Bt9+m jMtcvhc8LjX7ggJpG91SvWuq4j/ekr69ghPt95rDYJnAtwdzgvVglxxXL1FX zwdg32SJOrGSHsw9c86lrOmD62KPh/O3v9L+fu5+cKXW9ao0nQf+bCzDNQX0 T4y+dek3ed8prj+VkFzapcL95rK+yHFxrUk057gsxS4KZP3PG6neNVVxA7Lt Wer8ky6L8e7bt98ccrqAtsdGdZ6jYF68YekbF9uP6j1KKMjvJmv6pHgesb71 1arCmlhDHd5a16uxtbYR380hw3H8RM35kM2+ddnvl75jvtdPPS4NLSN/AXOK hveTJRzH9A0qU+fhOrG120VtfVfrmqq4gT3O48ZnD7TjfbHnHNh4NgW0PTaq 89jhtdoX9UtSpoC435R5rV+l4flbg72n1vVqbK2VfvUucSlTQax47fmQGa5B 4CJbSx8q13iZudb3u6jTx+4qoF+n4pNjQNpRStR53qTl+BzKvlM7z/Kx2XM4 rmPTcw6/j3K3PUVf6Hw/ypbCcrphbcdcwnzBHFO7jxICdJ8D4zPYYKbOp7H5 +1IB9+5zD7nbMqXvze99849N4WHq5P6aaysy7Bt6k8Ox36RyZWsZx/9wAf06 FTMn8hAyX52rHSWHXfSWAvo1BlJmqXVNVdzHemv5/Fz7nS2nEeI1zhbQ9hR9 ofPdTkM7OeSAdnVNTlr6y8SmJ10u4F6U+mG5LjSu8A5y09tz3+cYNbW1r922 tsu6salzoyzNniD3qpuRY6+nTrYuTedZkr8hkDlaxo4t3c7DuugjBfRrDFjX eYrqfA8ofmN9wvL5hXasbd/B503jedYN9tnfZekzFzS/mzIFmVtU2hN9rnEd jc/Tjxdwr2PUul6NrbXHZ7yvpdkTXhR9N2YjY3uCT1zGXLL1kvwNz9DROjAu 4+Jqe3x7xnF5mTp9rOZaVhLpd6g6z7Lh2B1zbWT/NiDjfY5bPlsKOs/9kLna fDhVQNuVuoFcB1uznFe+Np+x+VuDLbvW9WpsrX114LvYLM2eIP0Cx2KhoOf4 2HlkjquUsvXS/A3P0L7O0zgc76NXyPi3OeKsfG2DpcO6jpk3p8a1VRmG17Dz lu/6dN5achr5ovPcj7fIPke+a/nMBD5uHOeT+z6UOsEaZOa1xnx01X1eovF5 Wvr8rHW9GltrfWIfprI0e4Ls3zH51zfnsNSnUtarkPWSluBvCKQ/rUuMGt+/ i843Z/zb0uyi4IDs63/udilp2JLdh62hnS4k5wByu15dQJtToPPdn4Z2e4mQ Ub53yNcoLLc1ztUcB0oI19LRnNMuc8llXpa+1tW6XrnqPKlryi/RngD4eRjr P9/7l/aElPsBMi9YU0B/xsC370ocF7A0uygwc1TXuKYq8djSbk8H7/+mgPak Qud7HPriAMeoITewUibwZ8d7i2U9l3P67Ng1rQE1tbWv3ba2u8rsU1miPQF8 re2/Jx2OLdGesLS8YGbfudjIeFxcfNvmtPMs0S6qOo+yRnS+x+FuS1+6skSf SWU+Gjq6zwk7pG1eSTlB8ifavzXUl6p1vRpba/nzOfIhs2/XUvx0gE88VIn2 BG7TUvKCMT7zGn3wa+SmW8w1Lku1i5p5cWpcU5W6gC8KcsVx/UvkykZ+uL58 TBsa9mHBPorcxz1F43srOt/j4ZoL2ARxPvBV2g6MvaL4wOvAAR1dL2zz9J20 sznW4GtZ63o1tNbKHFQ3Jm4HZGrIcK8V0CcxkfvWY+uojwz7hLhuKnvC9eRn e6oJH5+GT5O7PWUuO89S7aJ9+1+526WkBXuhyMcGGWEjxh36AvSPVM8Sfves +C3EFp0Wv3+r5Rz+ziaXcAzS2fY6qCVzTly/T5bR+R6XhnYyJebOAe1idob0 nW/T0biMq0h1H2Uack7B12drfH8VHZ2LOK70/AVnqN71amitlXvW1yZuB3yn IO8vyU8HSBlubB6zDOvSB9/xuG4od9Ly8oIxPnFq7N9Xkp3nTersok0B/RkL 2X+1rqmKO9ABLvaMuQme1Sby77Ntx9zT43loyxMHPeaK5VqcS3tjOed0z+8w Ot/T0mc/dqGGPXelTOBraealhp6D9aFPD/952uXiyN32MWpdr4bW2rn2rBta rj3Bp16Lj2ztU2MmFOlv2BTQlzHxyUfoY+eZQxeVbVpSnBXo88fP3S4lDSfF GG9oZ2fhOtjQhVDD55w4JmZcKb/f+taAK+33Fxyvh+OhI9nyLd1Kna3Hdq7O 9/RsLP3sQmofF2XZNNSfj3SIywW0fYha1ytXO09K+Q21aVi2XpKfjtnH14wc 5yPHzqHzLFWuBgce/Reqi6aMieXnZWlxVmfIvv7nbpMSH2lLMfUE852Df7Of SKwcrhdoWKZlPcVWP8gXWU/N9r3O9/Rg/9Hcc3epk/Je6nJiQx9XfzclBKwB LvnamC8X0OYhal2vSrDzyDojLxfQJ7Fh/4mxPcpnqJNlx645h86zxLxgtv4b 001Y5yllXK4nv1xytbGh4XVJWQZsR7HJkLZ3zrH285ORfp/9zWwxO2BMT/Fh S2rnKQXINdBjsQfpmu+AdSOO/cLcVZ83JQToz/eQ27zL3dYhamnnULvNtl8S n6e082Cv2lWmrBHX2BGp+41dM7Vs/bAYk6X5G4Ituc/tksYFLDnOCtj2wnK3 SYkP7Da2eqRnqP+5xPFnI/0+7/kP7duzbWmKzRayMe979eVv0/meB9+9d8lB Ae1X6sTFvlj6OlBLO4fabbZ9Lj8d+E4t1Z4A5Jo6dNx91Mmyj0W6ZijPibYs 0d9Q2jC3I8fKuKax676QeFzAEuvESg6orrVfCQPjenzgO5tvAe/Dxfr9sXfb lPfflnb+c5v2Gqcdfkfn+/yE5rZ2iQVVFBvvJtV5Smj3kM6Tsg0sT75ZQH+k wLUfH6NOlh3bv2edp89XYipSzl+iv6H0W+mTu2RfuNp5uA54yhq+P2jb8nQB /ZgCW13S3G1S4jNm97DZeTg3WqzfT6nzyPlri0GqVdZZGg3t3qM3jYyJDYwr 8nA91TPGimLDzIveR8n+k7WuV7l1Hsj2LFvfV0B/pMC1H6Vt5c6RY31yLYfA 9ZKW6m94RozJqyPHsc7zoMM1XWO3psDj8kwBfZgCW42e3G1S4oOYCuyV297r fXYe+LZtIv3+uYHfke0I1Xkwj5F3Dr54kHFMHzrVecpC5lj1jfPhf5+yjLOi mCAvhqstcVtAe23Uul7l1nmg57DOs8TYBLMfm4HjGnKPoUmt8/yAllkvScL+ /GN9eAO5z1Ee57EcfaGsYY+AY9VrXVMVN9hmAz3G1Htsdp77289ttXFC4DW0 b38+Vg4Dzk9n5n9TnadsbPUiXUjle6EsB9s7bgisVaXZfGpdr4bW2mtmuCcZ m5C7L1Ih94zG8t+xPSG3zsNjslR/Q9mHT40cJ+1vrjrPWC2mUDjmC4zFfNWM yoDLp6EuDxbsIPBzu5+68Zdr5UPi2Fg5RG9sr3ex53uuYxlDhuW299mLdL6X R1+tMBfuj/D7yrIZm0MXjP+XZvOpdb0aWmtZJnwl4e9/mJYdmwB86hzdTm75 HNj3OIXOswZbAnDNNyD7Y0jPkHs3qXSeZ2j5ewTArKORuz1KGvDM9Pm2y7WS 80oP5QHwRdYHesvyPb//HnC83nXtsbYapnyPfX5PqvOUyRN0dH5+2zJeJifE v6HL313AvShlIfMim/A+LObNk5bvUuYUc6XW9cpF55kjNmGJtRUZnzpHrvUv +XopfKjWYktw9d18WfTHkP3NJxdcKE/T8vcIgJk/Nnd7lHQ0tNMT2BZiWytP t8T27zjf/tYLxuds43nF8zdtMUJSt+o7T3WespE2n5Dc1l+ltDUOlfpoaGdj fp26eYL1BvXHrjOOe5GO6t59+V/motb1KqfOgxowrr5cNXOv6N87Ro79dNsn tziOWwp7wpu07HpJjE+8mkuclY89L5Sl5zhkpF9tbWuqEg7sIHh28D6/zfg8 xe/hNza0m2P4i/15KdP6PsdSvzlJXT2hsX0Q1XnqITS3NfTqEvbnlfxAp0Hu JHOOQP/BPHnCck5D+74pAP4QL2a6h1rXq5w6D+q+rMGe0Ij+HdNRXOObUuo8 rnpX7UidZ0ym4jG5IdL1QpBxRUv2OTT7srY1VamLhnZ2Jrb5bGinq4TKp3j2 r7TXgd0Hus+Y7qQ6T10gxusey7gN8QaVFY+h5AN6yph+3HfutXTU5oN8G3Pn OKh1vRpaa9mPMJXOI2vAPFxAX8zRz2M6imv9y5Q6D//+kv0NwVb0o0uc1ZjP Yeo8h2vIccjInFm1ramK4ovqPHXR0G69lzZBM+7CxvvFvyHX3lrAvSjzY8ar mnx15PyGdvNP6j6I8R7zI4pJrevV0FrronNOge0JtxfQD3P185iOwrE0QznC bvO4ni9r8TcEvnFWY7klUuc5XEOOQ0mta6qi+KI6T/3Yaim7kDsuQ5kfl3nh Itv15TiYI3as1vXKRedJlYMKvlNLrwHDsD4+ZjODj9+YziPjRmLr9Xc5/P5S kP1o85+VsM4zlDuA9/w2idr7YVqHzyFT65qqKL6ozlM/tlrKrpRWe0VJi5mv xYbrtTB3IAea/m6pagQyta5XuXSehtxyYS0F19gojtkAd/Yc42Of8OUr4veX 7m8oc/GMzXH4+Y35HM5RM+lBWr7PITPlPaAoNaHzfBmE5jdAPDv8NzS32zp4 iYbnwxsB13z7kAPjOrABpaoVVet6lUvnkfaMPtl+SbjKww2N+5alzA/GubLX 4G94htznuNQF+45JWTPpYVrXHoEcm1rXVkVxRef5ckB8OucsBy57+jiGYzyu oXy5uJT0yDp+Mew8JtjLNeOFHqX4eZVqXa9y6TxShny5gH5IDes8NzkcO6bz pLTzvEZuNVGXgq/Og3FpJl4rhLvIrS7qklCdR1kLOs+XB2TPhsJ93q4q4B6U +Mg96z5emvgbDe1q/+Ba7PMG2TOmbFLretW31spxSZUPeU32BJ+cXuiTIb1j K64V087TkFsdmiXB/Tjm+3onDedMu47SPi9r8jk0x6a2NVVRfFGdZ7ng3eCS 083GtoD2K/ExY29sdr9Yv3VgXBs5DmLUiap1vepba1PaEsCYXL80fGq3sD7Y 1zep6sDI+i9r8DcEp6iz/br0TZ+dRT4vVydo59r2CM5QvWuqoviiOs+yuZa6 /Xs5zt+1jL0pn+ZuuxKfEyPjHjuHOXwlpY8lapFNrZFb63rlYueJHTNyPa3P nuDTn2N5kVPVgZG1gdbgbwhc46xk/NldE8c3hFtoXXsEZ6jeNVVRfFGdZ/lA vjwQYyxr9fTxuvH/ayjOHr2SH1nbSXIy0e+93f7ml8Vvwd8tVF6pdb3qW2tl ndh7I/8mbAhDe+ZLxMcOwHv6P+j5PpXO8wiNx+kvDV53xvbTxnIIpHxeGvHb Hyugz+ai1jVV8eehluMGt9I6clmpzrNOXPzbTBCfrrmtlwFivh6gnZ5zfKZx RR4309fyCvnr0rWuV31rrZSrm8i/+QytT7b2ifdgO09f/6TSeaBjraVeEiP3 WsaOHcotkfJ5kTambxbQZ3NR65qqjAM95gKN1yOXnGrPiZ1/qARU51knpy1j 70KqmonKejig/Tl1U/uZq95V43ple5b4u1RyNUBdx7H6jktE2qeHjpM+Zrbv DxKNDetZbxbQV3PhM8+5f56ZeB1f7hO/vRafwzNU55qqDLOlXc3eEDlPgr2K Jdl/VOdZJ/A34hoHzMfJ7Rngej5q86kP1HGCbQX7OJAHL1Een0XYmRDXY+o+ LvtKNa5XQzoP73+/Evk3G+rk+TXJ1oDtiWOxIzfQsJ3HxzbhynNiXO4roK/m QuoqY2vOUExNSp1njXbRM1TnmqrYgVx20hhT/B/vevj9Dr1j8f22PfaUcY1L BdxbDFTnWS9478CvCe/179HR58SFFwq4D8VtrK/pGcOctjvk2JA2d85rPaRP 17heueg8sesrIv6b5be15AYz+/TJkeNkLZih68Qcm/vEb9pyMS+VLXVzf2zf eCifntpF41PjmqocBe/N8+04bmh6XsOGdroO5yG6WMA9TkV1HoWB7WdD/nqP 6/68ko/jI2OYsyZTQ11NH1P3sR1f43o1pPOwzhdb55F+W2upM8JI/d61jxrL 9yl0nrXaEmRuiTtGjuU4q1ss36XSeRpar120xjVV2Qf6DttmYttkpO3oRAH3 OgXVeRRJny1A7T1141KnKXcbX7S0E/PK1KdLarMPff3N/z+I/HssN66pzgjj KhfL+A1bXrsUOg/bMNZmSzgjxmTMtvwm9cdZpdJ51mwXrXVNVfaBXSfl/vOl xNefg9LkHiUvDR2Ns3C19dxfQPsVOy5jWEp+CrOmD9uh2N+t1vXKttamrCnP MuMjBdz73FwS/TqUE13m6bL5mT1F8XWeofj8peO6R8Y+h3PqPGu2i9a6piqK L6rzKDbge8C6j68O9GR7Top6cYo/W4cx2xTQTgnij8w6Qojxf4jqXa9sa630 94npj4CcUyzLrylOnpH9OhQ7IvMJ2Ow8fI1YOs9a8xcwrjV6hvLppdJ51mwX rXVNVRRfVOdRXPC1+wDEKajekx8XnfVCAe20gflj5o+pdb2ytT1VTXnI0ywz rilOnjkm+nXIfsZ2nr5+4mscRByXNeZCZuRaNHTcUD69VDoP7xGs0S5a65qq KL7ULEMo87GlML1nLG+Skh72zxni2gLaOcRBT7tzt8sHW9vvEP+PWVN+rXHy tv4e0nmk3cUWw+FyDR8eoeF6QEtH6itDuRmlncfUDVPoPGwXXav9rdY1VRke yxjkvp/U/ZO7PUqZNLTbbzdr+rhwW4vW88mDSw7yGuxxqOlj5jjI3SYfbGvt jeL/TcTfWmvOXVt/D9UllT6AXxm4Riyd53bqrzuzBq4mtzVH5hMw7W8pdJ61 20VrXVOV4bFUnWe8f3K3RykbriV5mnb5j1+i8WcGcRgfbNE4n/nZDozNt6m8 WJ4xal2vbGvtQaJ7WXOcPLNp+3UsFof76gbj80aMTQyd52Ea1q/WgIyzGqod 8lzbV9+geXSeR8TY5O6jHNS6pir2sYR8dmmE0+2xx0eOy30/KfpH57sSSkiO tzdovD6DEhfUv5G1P8G7qbPD5W6fD7WuV7a1lv0ONxF/Z+1x8oxrnmnuK1MP kbFWMdarO6nTr+4qoH9y4JqnUM5hU+dxjQny4RZat/2t1jVVsY+li67CNfty tzdH/+h8V0KR+3Y+wPZTm6xdK5AzIL9Bxnig7X/oP1jz3i6gfb7Uul7Z1toU 9V/Gas6sBdccYX22F9fcb668KcalKaB/csF9OpSveiifHo9rrFhRtr+tsRap OSa1ramKfSyPOxzH+fxztzdH/+h8V6ZwQGF6D2IZIEtAttBYn/jY4l8+cciV 9rvc7Qul1vXKttZyfFxMnQf+bGuOk2dkrvOh4/r8AGPn1NMYq/1xGZrz7Ntm y7Ueu2bSXdQ9L2u1v9W6pir2sVQ7z3D/6HxXpoJ6pNi329DuXfQucvNxk/8v NV9yjUCHvDLQ9+8toI2h1Lpe2dZaFz8fX1i2XqufDuMa94G8Ag9a+utFcX4M nYdl+DXHWAHWeW4aOKahThc17W8udiIf1P5W75qq2MfSx86ztlryqvMoKeA9 hBDbT+62L4HLDn29LaCdIdS6Xpn97xrb4Mva/XQYV52Ha1GaOo88f6ofrqwD ZMuJvSZcx6Uvzir2M8N7BLcU0De5qHVNVexj6WPnQZzBUD6RpaE6j5KKvrow 3+r5PJZ8oRz1abMRU86ek1rXK7P/pe9UrHeO9AlS2dptTfk02e08MfODfUWM yxprkfb167GB42z59G4T58bYH2uo37dxTdS6pipHOU9ufp8njHFfi5+N6jxK KuAbYtbzeTcdnXMmkP8QbwKZUPUff4459nOtNrVa16shnSdW/nZZZ2TtsrVr LRgXO8/UtrBedXsB/ZIb13lvyy0hz41RR1nG8nyzgL7Jhe39kLtNShjIQX3W 4bhztKu5KOv34dylx1brPFdSgucHNQG/Rru9BxlX3MfHD/mq+P81tPznMCZS VhsihsyQg1rXqyGdJ0ZeMIC9at63zn2/uXHNu4baLLacDzFzIq+9FmnIuPA8 fiTgXFdkLM/DBfRNLlTnWQ4cpzMU02MeI20+8HVbcoyPznNlTkJzW8NXS/Ue N1x0nk8U0M5Qal2v5rDzIDbB5qe1Rlz7l/3OTJ2H92dOTWzH9dQfm7JG5Dvg iYHjbHNZrm0xck9qLM8O1XmWwzHqdBdbXI+MtZa+pWYM8BLrkZ4hnefK/Ji1 MV2pNf5kbngPp4/XqV4bzxmqd71KbedpSPMXSKRsPbR2yFgb+Xms2kl3iuub 9TXXiIzJGRoXm89hTH9DrcvTUeuaqtg5Lcbzlfb/WMfOis9teQ+vNo65WMC9 xEZ1HmVuIG9L3zXm5y2fSbDfinfeq7Sri75k+2so6J8DOpoHXPL+Ato5hVrX q9R2Hs4NpvkLjvb5mM5ji4HivZmpOo/6G4aNiy23hMy/P7UNd5LW5THHo7Y1 VbHzFu3kpT4ZAHkOmp5zYft5hZY7H1TnUXKAvT7sKSB+Ds8mYnZCbD93FHAv JQC/PzNfhA34CNZcj/QM1btepbbzSB+ttecvMPt8SLa+S/TbY57nuqC1SMPG xWbnYdvbkxHaoHV5jo5HbWuq0k9DO5+P8+24wn4De49LjtBj4rzc9xEb1XmU EmgoTOeBvWipfqc+DNUfBagRC/1wCXnwal2vUtt5NDdYf58fDBzzHHX7/ex7 5up/NUZDmgt5aFyG6oryfH5NfMa2t69FaAPrVKqL1rumKunAPur5AtoRG9V5 lFJwzTdmAjssnk/IkEP1HpYKxywOMdU/pyRqXa9S23lsea7WDvt3DM1/W00j GQu0nfD7Up9Sf8MOl1gpaYfhz3hMXo3QBs2ld7Rfa1tTlbQ0BbQhNqrzKKXQ 0O4d6OKjZfIJ8W/sBa4p38HHHfsodztjUes9pbTzyFie+wq411Jg2fqVgWMe pqN51baRxqYvVmjtuOg8su/w/+vEmMRY3zWXXketa6qi+LJUuUipF/iVIJ/i 92i3nxdi+wFriPVB3dd3OvTFpoC2xqLW9SqlnUdjeey45vky61/KfK5T/EHZ f0r9DfdxicuR+fQwp6XtzSUmYQibbW/N1LqmKnWBfYsL1NnfN7TLDdfnn7Np j3OtU8LHD+W3Up1HKR2XOqY2rrTnL3VuQwZwzfs9VUYoiVrXq5R2Ho3lsSPz tg/1sekXKPdapvz+a6T1kmy41Hs146xiPi930tEYrjVT65qqpJ0LrrhcF3tH nA8OcUKogypzam8H2tJ4tn1on0p1HqV0bqUwfzfeR+B/4z17ooD7mQqe53Me fQC/v6aAdsei1vXKHJet+PdUGU5jeey42gbMvMi8z/LBCb99vRiXGwroi5Jw sb+ZtpgbxTlT4zal31xTQH/kptY1VUk7F2LqPJwH7oLxOa/R0IdMXQX71icD 2q46j1I78OGStbKm8FQB9xMKnuUve9wr9J2l1TGqdb0yx0bKfW9PuK7G8vTj GgPCPmi3tP9/qj1nSu4PtSX046LzNLQfcxOzHukjpD6HklrXVCXNXLDtD12m 8PnBNtpzPd+fbL+/MULbU+k82GdpChgfZV3wngDmX2hNH3BAO/+Vq2inT7n6 i+bmvZ73ORbThLVhKF9sidT6fjbHRu5bT7muxvK49fvQPOccYQ96nDOG1n/p R+ovQzYbHhP0JeuhQ/koXHmN1C4qqXVNVdLMhcuWz6+m8Plxgew2HubW9vtT DteStvs+sEb06VehOg/aNlUnU5QpuMx9V6D7xMgXnALoY1va5XR4t+P94FgX 2wH78GwLuE9Xan0/m2PkklPMBY3lGcY1RxjrJ7Fq82gt0n62oo+H/DpvoS6f tMs4uqB20aPUuqYqaeZCbDsPx+1se76Xa+7YteSx0KEeoJ0uckF8frL9vO/+ fOc7x4XiXT3FJ0NRpgIbjRnr8zodndcucJ0f+ILFqBEZg2sD7sdVJpDx3R+k emxdtb6f+3SeqTKcxvIMI+3BfcfcJfrxnxTHh+o8jbje3y2gD0rDtf6RjLPi +Oepz4vaRY9S65qqxAcxBLY675fa70KuuaHd3Brys+fYBZc8mSfIbo96h8M1 fHUeyEWviOOvOJyjKClpaCebIEaO8xTEsv/A/21KrtpQ8JzBNvsnAtrskqPN fI5BLXbbWt/P3GaOUXiQpstwumc9jvSj6nuWZT/+1+L40L2Pb5LWIh1C1lEe 0is57uZBx+Nd+DCpXdSk1jVViQ98uE5bPsd76nzgNX10ERd5i+WXs7S/V5tC 57nKcs7dBYyTojDS9jmVl2hnA8E18a69kdLVO4VNh+2zPnkKJF92/C3bc2zL m1Iitb6fTZ3nj9B0GU73rMfZir7v8199WPTjfyaOvzfwN58hjeUZw0WHkfnV Yug8DalddGgsaltTlfhwnKm0obBfW188zhixdR7A8UUXHK4xJDMN/UZf/ETN ebCUZYLYfcjw91Ac3ceWKxtrA/YY8OzhPeyaCwHP42Vxnct01OYSAmqTuvia PjFwjRryGdT6fkZ7P0edzMV71zFiRnTPuh/53hrK6cFj8m+J45vA3+Q4FI3l 6cdlzbmPuuflc+3x2wm/eRd1OtQ3C+iDUqh1TVXiY/MBAbCpNIHX3LTXGLKb ++o84JRxTmydZ6j+4RMFjJWimEgfiil1flzBWnGh/V3kWPsydTlETpJ/3jVX cO3GsU8gY9jqvOKzn6HyY/RqfT/36TyhuTMeFtd5poD7KxmeL0P65ffb/vw3 aNr8elmMy/9dwL2XCq9BQ3umsi7pJ2lcbhpD5tJ7uIA+KIVa11QlDZBf4N92 tgX/nuIDwjkMbPngzpBfDgOznSz/nBHXiKHzwH/tOO3nV+V3CO9x5x4nRRnj gNLqPMy3Z/od2/PtiuuzXxo1tpnbDbmN5eH30DQZ7k7q5Le7Cri/kuH9uqHY Ka7R8++3x24Cf+s+0ro8LnDu6aH8tFJ/5OdliuzFdtFbJlxjidS6pir7pM5D FHp99tnvqwnPfi8h8UIX23PvJzeZKETu0edDqZW3aJfHSdo5vnrIx+nos1A6 Y7V3xlCdZ/52s51HynCh7xEZ35373mLQUOcDwe+wsXNk7sGhet0uOfKeof3Y kdDcElrv0g2WVcaeY9brf9Ph2CFkzJbaRfepdU1VOhra6QxYB1PoPrCpYH+i T28Zgv2LOTeu+T3bgULihXDfZ6mra6o6j6IcpaFdzgDeY8f79x7Kr8e48F0a lu9cUZ3HD8RtQQ7G+oq1+zS55ciT7bbZeULnL8vnS4rF5nrd7yB77iCJ9Dt/ hYZ9O11qIXE+CPTrzzr8fh9LHJcUSH11rEYP+vQDI+M3xp1ibNQuuk+N7wHl KGwvOUv9fmS+YJ29JK47VEN4CI69MWUX2eZm4n2rzqMobuC5lnU8wD0UXusn JtJP7msUL0+i6jzu8D7Uhnb7XCeos0m42gNwrIzngc4TKsPJOIel5UJ+QIzv rQPHXXA8Dsh81X3HSF/BT1JYbonnSHOHuyJzSwztHbDP4d+iaXndNZdePzW+ BxQ7nM+M31eISXGxmZtgTcUaK/eVQvUdcBt170z8xT4zv1fB1Jrw58W1VOdR FDegT0CvwPOzpXnyHoyBGLprE9yr6jxuHG9/y/Q1hp7Me1cu9h4cZ9p5QmU4 mc9qaTmq0a9cn25Ddl8I6bvtYo9x0XlkjZ7foLAYVY2R9xtnHpODgeNYV3nQ caz70Fx6/djeO7nbpITDfmjmmOL5QQ6j4z2cHjividAuXAN6FOsnG9rtH8ao kSHzVQ3pZqrzKMoweH7MPGe2vGdT+JblM+R68/Gd8qXWd9zcbUbd5Q3Z/W94 T81Fd8Fxpp0nVOeRe9a5xyMFWzHGxy3f8/4gdCOX96XUefrehzLe4z094z2G xsj7saHx50fW6PmZwN+RuRC+UsB9l4bqPMsE7ydpS/EFfmhT8iSWiOo8iuIG nn3YXFjG4hpA8nmATQj5qH194qDfSN+6OWqD1vqOK6nNnGPzrGO7TTvPQeDv /oCWv2f9AtmfB+m7fcnxWltxztA7XI6N7zP4MHWyucbIu+ESZyV9Dv/VwN+R 9rel2UVjoDrPsuE6glgvT1OXh1qO9/n2cxyzpeX6f6rOoyjhNLRbHxCD8GL7 f6wvkKveT91zcg/tdBqsJ/Bjlb6nKfzWXKj1HVdSm9me7hKXY7PzhNYjXUNd noa69zLXrcSztWk/8/FzkrEjQ37jcmx826u5w/1x8TmUMVKhOo/a34YpaU1V lJSozqMo6YB8hRihEut8qs4zHbY5uMjfOO4fo31bQkjMyJr8dG6lfV2FY6tc fdqYe8V1hnK8f6Pt2/8goK2PUGfnaQrouxqQOk9fn8k4q/804Dc0R/U4Ja2p ipKSOXQe7M3BL5D9gBAjtbVc85zl3I3xOzL3Q1/9IvMcRVGO4vvs49mTcUx4 /uSe+WbgOu+grsajjP0/3/5fxjPb2JC93XP0E+77a+29X2d8zvc8FHdl3gvL xX+ZdrK4b3tkLM8aal5eoW4O+Pq0MY04d8i2xv36Pwe0k8/VHNXuvCjGxcX+ FjIunO8Dz53a3+yozqOshdQ6D/siYF8O7ynIBuzXc6txzY3l/HPG73A81iXq f+9tPO5FUZRxIN+fbcFeO57jDe3LKuazKpHPN8uwyNcin2G+3kXqnm/mauNa c+s8Uve62Lad93CujJxvrrH/f3v382rJUQVw/CTMwqgrwehiZiuoiESSRTJM FnER3iK7rGaRQZ8QZhPCjGAWOrQ7F9mZBILbENOb+QsEV4IgBMNkSGASucQw SMgiEQRBROdw+9Dn1usfVX1vv666/V18eO/17e7X997u6jpdVac0567NN1Il Houub/W/tfTT8fPwpPZp6/oexmIe/W6+mbjv56WNZclRHc/PxxQzzuprE/6H b39b+v3mipgHazF3/xbri+Bz71guUt9O0xfz1MFxWb+Gof8ZbgNgPzZn+sYt s1jA6vy1xMU8tl6Yg9jmPRt7hr/E/dmOX4/NntncjjjW8HiVxjpaB/vzhOPw OazePcf3vzSfe6grj1vsd6juDKxj8eSPE/ft297IUR0vdo6ebzSf7S8n/I9P m21fyuD95oqYB2sxd8xj96qxvtcpMU/Xet7Q82YA6WoZv6aG1umKefr2MTbX 8xL3ZzuuffZhx/xHmZZnupK2/raWNh61aT43a+tJHctj3mq2H8qLbO0JqTEP c79M4/u0DrW/fUemxTz3pH1GcOxj3/ZBzIO1mDvmqSP3q+vEjOeJiXli/yeA OH3Xp1fLcMzzesR6WpfVuq3Wa/v69y9xf7ZnN13zY6Z8hkpzF1g9LKVN4F1p Y6W19J+qpI11LM/qWNzSx8aivT2wzpR2Hl+v/jKDz6w0MTGPtY3+I3HflktP t13D2Ld9vwPqTTh2c8c8sW0useN5iHmA86fX01Mj68SO5xkrE7SNx3IU3+/Z 13nfn61v3z7zs9kx/0Gm1cPWmBfM5uixc8ePrUrNY+Dn++lbxz7fnyXs9x1h 7pd9jPU51OcMP2o+39SYx/c5rDJ4r7ki5sFazB3z2LO1Q/Zt2+d5M4B0tZxP 3zbjc6KFddsl7s8XpD8Gi2XH7OfoeS5h+7WNS/BjPTZu+SvS9nVLaXeLmQvm 25Jet7a5X57J4DMrkdUR+tru9Dywdp43E/brc1TT53AYMQ/WYu6Yx+oKYQ4D 7aNwNzgOvYeFsVEtZ2OefZ43A0hn9Uxf59dr9dQtq5t1uvqkpcY8qurZ5xL3 Z8svpTm2Ne++5m240/x+NXIfdszfkvT5dZ5326yhX5veI55qPq8wT5vlwHko 4bNXliNDvdCzztebz/mnkft8Wdq2IeZ+mWYs5tFrz9p5UmIXn+8j5dnCGhHz YC3mjnmUzcWhMc5993dX/tkbzXp2L6vdcT3p1tH99I1z9tsA2J/VMy3nvF5/ tez297K/leZyvirtc3iLeTbSjs8YuoaNxRo+H/QS9+fLcras9GLG1Pv1U+vJ L7lt1tB/6q77rLrOER+/PBm5T99u1DdWLGWsVSXbth1r4yFf2zRjfQ51Dllr 5/l+5D79d7OmfB9TEfNgLWJiHq23aHyifdpPg/VPm+VDfT4q2daB7NlcLd1z kuryx5r16ub/+jab8Fh9nxd/D6OdBzhL645al9Rr1q5Fu+40PtG22KG6++Vm Pds2nJPUrrsPpY2PrL5q/+d12b2GrwT77/r/Yb/XUu/P/rjtuXVMPzUd8/Or hPVL5+dseWVgPXt2pudZTB83H/M82/G6nqt+rNXY/JV+rEhq29uUuXyOdf4f 3+ew6nj9E0m7Xq7LbvvbsX1ecyi1TAVSjcU8G9mdD07rOXofsrkCfQxkz4Dn Pt5wPM8tt1xjL+sTsfRnC+RA64P+Wapepxq72DXsn0dYe+w++cnG1NJ9fVod 1sc91r7i+zeVen8OYx6tk30RsZ3W89aSe6qS9vwYi2V8DJPav/CTjtfef+Ar 0sYxQ/0ObayIfidTxorY//jhzNuU4Hfue9l0vK593lKul+vNetb+VmXwHnNX apkKpBqKefw9ResjL/bsw57/+jrTnMdbdyz388Jz7QKt2PkcfX+hazMeTy3d 16eVN/r6/YbN/7n0eJ5D8McdO0ePz4P8agbvYW6+T1vM8zN/39lErG/Pw7rO b2tvsFhm6PO2HMhqrD2oC+08Ld9vtCtfdXi9VCP78/mpmZMnTqllKpBqKOax 579a76gi9vWB289YP/1YWl+r3d+XR45lI209aenPFliaxgp2PQzNc24s50hs nTNWLW1bTSX9feiekN0Y7VTO5ocu9f7sj1vHjVi9bGgcyJdCHuRD8veo8DUb S/9bGc/Dtm/ecNp5dllfkjCPgT0Hie1zqN+FzQ+bOv/VmpVapgKpxvq2pfDP aw7V1sPYHOB82TV3yLaevvbZqfsq8f7sj1vrcFZnHqrDWf0ttk8PhvmYPoyl H2+W/0aG68yVtOPjp46vsvr7XxO2OdZ2HmV9bz8Ollvbs+9zODTv60uR62FX qWUqkOqQMY/fX5hfFEAZ7Hl3rve/Uu/P/rg1X7XVYbvqZpXstvFQfzuMF9x3 8FHP8p9LG5N05Ti2+Xim9mu77rZPiV+OuZ3nWff5+36sfhziFzI8fspyStg6 VQbvqxSllqlAqkPGPH78z5xjegDMw899MueYnn2Uen8Oy1prwwnrcPdkt3/O 74V+bYdk/ajuuGWfuO/le9KfS/zvwfcy9Rho59n1Vff5P+KW2/ir12Q3T17l 1tHfX3WvkbcgXallKpDqUDGP9mu75vYT9hsAkDeNd/x4h7lzME5V6v05LGt9 /blq1tHY5hm3XGOfY8/Vdt6sHdPPbX0tWObr0G80y95p/v7BA7+Q/erVtPOc VQffge8rrzGpz01g7W96bTzjluvvPB9IV2qZCqTaN+bR5zMfBPu4MmE/AJah dQvN5+Zz0msd8F8ZHFuXUu/PYVmr/aK0jqZ1NX2GrfVfq7ulzFeKNL5NR/++ 5P5+tFn2J9mtR38ph6tXP+e+438mbOfPja6fuq+nZRsTlTh2338v2tfQj73S fNaVtHHfe817/NR9BjwfmK7UMhVINSXmsbkNn+rYPtdnwwBaWs/TXNC+v7zR /L9VBsfYp9T7c1dZ68eG+P5sxDvzCceO+D7ZG7eeH0/l7VOvrtz3bD9j2238 eXLSwR/jpwn7zYX/HjTe8XOV2jxNdr2EMR85qfdzqDK1bvZxM4P3BHSJjXm0 zNFnwXXHNrrsQ5l3HkMA+9M6np/TxOgYHm2fPVSO+TkdU8zj+7Id83iNnLzo vgOdh/Qx9/cLwbp+Hh7t7zY1Z4F5ufmeT2QbO+nvGp9UEdvGnB/PNfsu8VwK 29v892Lr3JOzMega5q2a26HKVNtH31wEwNJiYh6NZz6Ws3GOlkkl1JGAtdN7 kM/H5uOcTQbHl+KYYh6l9ThrU6Bvzvwq9x08LLttnXP+X+2LZbGIjRE6af7+ dcT2KeN5TiQtnsqFjat6S3bbefw6Yfvb0sdcqrA86jJ1n8Q8yNXYOX4xeL2U Z8EAtnwuNqV55GPmJ83VscU8RuOdKoPjXINHO76PcD7MQzuRbR39xC17Q+L7 zKW03fj2kK5827l6xH0fb0uZ13kpiHmwRkPnuM+bcls4j4ESlZCLLcWxxjw4 P9qHLey78NGM/8/3kXsjeO1E2hwEQ/tIzds2JR/20t6Xs9fJwxkc1zEi5sEa DZ3jPm8K5zBQplq21/AHGRzLIZQaNxDz5OW/so177jQ/q5n+j+7X8hU83fG6 zxE3FJ+kjtGZkg87B9repn3cHpdt+3Q4xgqHQcyDNRo6xy/2LAdQjmNq4/Hv p7RyiZgnP1Xwcw6Wt0Djj74c0u9Jm2+t71hS2nnuuf/5kww+51Saw03bfP6d wbGswaHKJWIe5G7oPrxxy2+N7EfH+Ojzmc8f+F8G7wvAlvZLjR2voDnoT5uf Sx93n1LjBmKe9dEYx88ps896Ke08T7v9VRl8DsgbMQ/WYuw+XDfLta25L+65 6dbTn1UG7wvAlu+jOtTWczdyvaWVGjcQ86zPibTzmFYj69qctF1jfq5LXDvP d6XcXNVYDjEP1mLsPqztN7fd6xr7aN3oYvPzWvAaOd2A/GgMY9epjl34TLbX sC6/KrvjuS9mcLxDSo0biHnWxectiIk9KtnGRjZ/T/i6jfn5m7TzkP5Fuuck Vf/J4DNAGYh5sBax9+GNbPNUnwbrazykdaaSc98Ca6D3IY1x9Bqupb2GbzTL XpEy7lWlxg3EPOtRyTY2GRujE/JtPWGcFMY0IYuFdLu+cUNAF2IerAX3YQAl KbW8oqwFkCNiHqwF92EAJSm1vKKsBZCjqeVSLds5EC4H+yHmQa64DwMoSanl FWUtgBxNKZc0rqnddn5cKDEPcsV9GEBJSi2vKGsB5Gifcmkju3muiHmQM+7D AEpSanlFWQsgR4col3QeWctxRf5e5Ir7MICSlFpeUdYCyBHlEs7DJdmd46aW 7Xiwvhi5bta71PO65ovWudY196z2q/z8gfsjx8B9GEBJSi2vKGsB5IhyCXPT /o423kv7QoZz32w6trHXqo7XbNvXm32pull2OnAc3IcBlKTU8oqyFkCOKJcw NxvzdTdY/kSzXOOhcByYzp1+tWNfNsf6tWB5JW0bUl97D/dhACUptbyirAWQ I8olzOmWtG0yXa9fbV5/LHJ/GgvVso2Xwtfuy3BbD/dhACUptbyirAWQI8ol zEnbdrraeMyT0t1uM8VladuNul7nPgygJKWWV5S1AHJEuYQ52dibTc/rFqcc 4vy72eznRs/r3IcBlKTU8oqyFkCOKJcwp1q259bNgXVuNOvsO7fThWY/r/W8 zn0YQElKLa8oawHkiHIJc7JzayieiVnH6Doa02j70aVged3s50LHvgGgZEuX 5VPK/RKPHcDxolzCnOzcOmTMY+vXsp3jR3NVWy7sMNfb0vUUADiEpcvyKeV+ iccO4HhRLmFOtWzPra48a8bOv9i+bQ81+70obR5s/fnhwL4BoFRLl+OpSj9+ AMeJcglzshwGfXPmTMlhoHmv+/IUAACWs3R8CAApli4zcTwsV/WVntdtTp3b Cft8rdnmUsI2AID5LV1/AYAUS5eZOB7ap03PKR1v0xWjWDtQ3/w9Xa4029zK 4P0BAFpL118AIMXSZSaOi843qudVmF/A2ni0n1qVsD/b7kLCNgAAAAAwF59H Wn9qrjVr31Gp7TXWdqSxlMZRdx74rPk9jKsAAAAA4DxUsu2/ZnnWatn2UZsy D6nPe9Bl37lNAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAzsv/ATpntnA= "], {{0, 0}, {829, 352}}, ColorFunction->(Apply[RGBColor, Part[CompressedData[" 1:eJyFmUduVkEQhA3iAOQcxEnmCmByWCGx5gocgYzBpAULFqwQYoEQEiBAgAjO OWEwxjbhCDAz/zeLapVcm1+j+d+8nu7q6p55+8+c6z67tus/1nR1rfv/s77g Qqq/5xPjroK/6eKFjNl0oGC2jXV+Z8HTtLvgWZu/0ZOxmI4XLLYx85cvZXxN V69kDIb19xZ8SvsKPrexrn+wYC5duZwx3+Y3FPR17HqYNhc8bvP1vd/S4YJv bcz87VsZK+l0wUobM99zPeNHs39LwVCbv34tY6Fjx4u0teBNm99WMNJZZ6SN md9Y8LI9z1j3PzSYEe2/djXju40f+3Hx6b2ZsZT2FHwM/q9xmemsM9n531TY H/G7dDFjLvivvmc87SqYCPzoLvjaxsxX3r3vxPV+2l7wINhf4/I6+B9/7Ch4 19bT508WLLWx8ov18YfG/2jBQhszf/dOxu80M53xu401PsSXeOr+4Ufdx1jg x6GC+fA89ty5nTEV/Eu+VN49CvlDvvX3ZcyF+DJfefM88HdTwUDjh8Yf+yuP 3ob48P9bvRkT4Xniwbzmx727GX9sfjM+VbDcWWe5zTN27yce2K/8YP3qp4Gg H+RPjdNw0Icat19pZDhjoeWTxpf11T74cKTge+AH/q9xehXyh/XQL40/8XL5 hf+cf/FHfc8Hq1+8X/mPPeif7u/mjYyf6UTBzzZWfuI/xur/6amMX23MPHwj /zQ+5AfzWr9Yz+kf/qi6MR2eRw/RR63P8BF+qn7j3+rHvrB//MX7ld/ke+XN k1A/WB/9VH4Qf+zT+OPPYwU/gn/xV7VzLPAf/7r6CF/oD3R9np+azIj6Qf6Q n8ov9H58LCPyj3zH/5pfWt+oR2qfy2/iQX6q/sAX19/Bb+Kj+cf+XP1kXO0a CvqG/9if8g9/Dw5kzAd9h0/UH11f80P7B/xNf6n+1/7W9QfET+MDH8kPra/s z/ELf8Nv9T967fof4uP6P/R4tf7P5T98dv0heoW+aX+Ev/Gf5if+nhjPWAr+ 0f5Mn6f+z85k/GljzQ/qn9qPvsAPzS/yqf6vP/iH5+m/lL/kb7VrJjwPn6lP uj/iOzqSEfVR67fWD/bv4g8/JicyYv3mfQP9GbF+EV9Xf+Ar+av6RLydfhAP 1z/DN/ihz8Mv+nfND+Ll4g//a1y+hPzHX67+Kb9VX/R8ofUDPrvzBfxy51/G 9OdqP/PwQ+sr8aR/1fjjb3e+YH/ou/IX/qB/uj7xcP0z9Yz3u/6D+Kn+41/X /zF25yPi6eoL9rvzP8+78x3+d+cP/Et/oPzW/kDrL/+nP1d94P3om+Y3/iV/ Nb/hqzsfEG/8q/UDPXT6ynqufmp/ruvjf/o3tY94ot8aH/jO/ZTWZ8b0X87/ 6Lvqg/Yv+n7+T33W+sF+3P0FeuD0DX9WO0eDf7W+Ov1w/QP6z/lb5+GPsx++ ufs7/OXqA/ntzm/o8dhoxmLgB/GkP9D44g93P8b7yB+NH/vt+5IRzzfoAfmh 8/DL3W+wf+qTq/+cz7Q+YT/2KT/Jb/ij+s7+XP2H/+SP6id8pL45/hN/1Tf2 484n8JH+Xs9P7Ad9Vv/iP9ZXfqJn7n4N+9z9md4v6ft53t3/4C/Xv6Ev7nxA /XT6Tn6TP8of1nf9CfNu//zf2Y+/6W+0PsN/+OvqN/2n1lf8T/7r8+iX2z/2 0f87/XP3g9jvzs98D6rn4h77fcjpC/vFftc/u+8X8Bn+Kb/JH3e+QB/Yv+o/ 9dedv/X7hrs/dudz4j88lBHvX+Aj/ZPyk/Vc/YQvTj/hi7tfYj+uv0afmXf3 k87/2O/qG/ylv3T3e+78ip6if6qv5L/r/7nvof9y9z+uf0cP0Q/VR/jjzu/4 E/+5/srdf6LX8EPjg/9X+37g8o/nV+u/+H6i5x/9fqb6rt+/9P5F7yeUX/r9 QPNP7+f1/Kv3505/0IfV7lc1fnp/6e4v0A/1n/bHyh+9f9H9a31R//0DTRDd OQ== "], #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{1200, 400}, PlotRange->{{0, 829}, {0, 352}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{3.417798365985401*^9, 3.417798891557695*^9, 3.417799217999261*^9, 3.417838858133162*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJy0vQ9Yk2eaL/wuCRAUa6y0zba4Q3Z11sxq13S0S0bcHZgRm+zYMdnaKXHp WcOKI1kskuIspnCdVY7uKLUMTemWSZlvFbSrRa1u9Bs04cxxxHadjbVMw1g6 4QRd4gA9r378eb2K8n73nyeIqJWz1zl62ULy/nme33P/f+77flavf/WHG0rX v7qpaH3WqvL1ZT/cVOTJyn+lHD7S/J4kaWok6fcW6SX4+aaU+j+lr6mJP7tU VZL+7//2H/AfrRIKnKxZEs9JhV80NUtalspVUhL+HGmrNQdOSlq8qO9WzZJg lxLS4Bcd2TVLwpX0RapcGC7wD9Us8Z8IdsUz8fk/xI+VpnBly1Lf8WBXtFvt wY9TJl4oFxYtkqRwAb1QkvJ00W5+YetaSXIv5hcGFfi5VK6iF9aaJcl3XMKf Z4TfKVpk2eU96jniveg8bDO9O1ftgcdvgO/Sot2O3TarZ6/3ontxnq52i9KE b06e/Ob0B74ZBvXAN+NFMyNtth+bVrYuk6uUJrkqss2x23DW34lv+FscWDzT XKzfFzgpFyrV0bGiRVlXm4cX4zPimR3ZSkiajT8rTR0GwPd//OfBSKMh1cNb e3z1OqPvOMBLF8Uza5bULJEL4ZsifEBgqy63ZSl/J1fpjPDosT+hBW9yr3Ze iOfMprtyHCWeI2rPL/7zIOkYJFWVC50XLAfDlTCCV/GGou+Zd4YLpG/gDWpP jd58IFwwB3/pMJhW1v5E7fnv/3kYJl4aHTNtcOyOtOlgsTVECiouySa82Vdv uAIPoAEEu/TbAbaeOWI0Zl1u6IlpDuArZx1plCTTAtdgqnu1pPHsBXqnAXwf 10ptj3YHFX+nV67dEjgZaYQxIjVqomNeuXmYHpomF3YY/J3Nwx3ZciGQmlSz JMF+Xrm1gl8MPNrgleOZGia0QEPNEvhybaRNCbUs9cpyId0R7PLKwJczeJHz dEagCXqF2hPP6chuWVqj33G9tSJcIBdKKcTVY3qX45DS1P5/YPFhHVbm6Voy UgINksawX7890paAIT2e6b1oOU+cKe+47l6de81m7TCoPRoeNb6HmTvSlqfL vVa0qNbu2Zuns21CNPj1FfD69AQxA9JSh4GYMmwBljd5ngeE7a5BzxHzAUkC lOkmzxFJaskgPEBm6Yxi/Olqj/9Eni5P517sveiVvRdtJhy4EqKlQa4GEO+C 5D9DmsCh8RzbJsfu6Fgyj9pwVr9PXgGYPA+/z5KrihbpXe7FkTaQJyGQKIWB BsP+rKsgUe7AspAlj7zCtEC/vSWDJE+hf0iXe4dMJiGjTyCjqsDjpaYFJKvg 2dHuGr3hrMQP9h6VJKA9QqX2JzojrBfenFy7Rb/dch7EU6GUBOIqWa7qyM5b qN/u2cs021qh3+4fkqZLK+mTgFk9hVaUJu9Rc37YQs/tMOi326wJWtF2vGT7 sXuxXEgECtJDMq0Mv5M0iVCSxMBzEwOrtU9C486r0+6gAYpJchyC/2qJ+bot 5yUBxmQSsRyUJCBa/FwbHXO/bloZ7U7hX/CrQITuBtqQHCXToI85OBbzzkCD EkJhDW8BMQFk1gTzD+EiwErjddrWtQgyQ6SVq12D+u3BLrjFiQ90XjDsFwpI xySB8CGVhytp9pNFxiRamDR7udBy0LYpOjYx+7h0NymksSIwF0tSPPMRhlSX m1hBBC9PF//r0PRmnHU1b6FX7jAETiLxuFe7Br3yuZutay1xwxVYTqbnHM8R 08od1yNt8cxIY80S00rPZrYSClg6Owd0uV75zqR1LOeBtUNfNekZkxggtOO6 acO7c4XJMnXNxazhc9NK+Hx2YtKATTLPyhIHxKYzZ3i980JrhbvUs9dmssRr 9H23wo2evZ7NeTrLeX8nqSVYj3imr96xuyjdsdtxqGiRrx7YTMw3We3pyDac NSKv4CNTE1OONJoWwOBSvmLGdwnDGdHT7tI8HSiBAjQDeM73TDmyjab8CFH2 aZsJCHEoMefzQP8PmHOwK1wJYiGJVVawK9IGlFUVHQsXoASjz5MTvws1l6q2 xzPDBcGujux4phrC+b5EH/eAQFpi3qkzujfL1ZPmvJDmvHK6c2Zc/xq1IeoU 1yAs+YL7rbJ4aDr8nCIXtmTYTHpX3sL4igdOm+QaDLcaKVAJBbtAVu9Dqbvj usKiLLFG8Rwiy6Z7yXLtvQMmUJSQXNVHVoFx/hQxNHl98Ged2hMuqDUbzurW I5H1jaVMHXBMVbVoAMZzcMwd2VqhVFuWoiGKiG9RyQAAY96uM+py9dvNxbVm IN7kuyRKyBLXGcMFU2ehRdhdg/xQmobO2JGdxEwqVwGV8esin8H9ufcIFY28 AoWKlMoM0JJhWqkz6l1ZV92rwxa1XZpgJhgqTed/Ek+O+T4BTZEE/7ReGUWd e7UWfknpyEb7jphvDGZWhjOQC2u3GLWGs+adniNoWqdO0RRa1Jbu15UmmoFS DQpb2BTJODdzcetaQYLaaLfNClzfTb9E2ixxZHLWxQpIqCP3LBVQinknykwt r1VrheW8frtpQ9GiQEM8M41VhyTZTErT5NmBcbNZmgH/UoIKTsizGaUBTOgV pE8l5D8Bi3SgJSPaPWPKZGbKVc4LeleNviM7errD4Nlr2D+xVDNxOkat45Bn b6Ah9IR7tX4f6N1C+m6GEvIdN5z1Xoy0IYMWLTKtDJ6czCX0IsduVCpEsSnh AsOVrKs1+sg2tWcmqb0C4NbFrPbYgywiji902EwbAg1AgzMnDZbt1JwafVG6 80JRuveiZ6+7NAH8DBaZHYYaveeIY7d5Z9EiJFySK/4T7tXuxTarbVNROupK 6Z5RNg/rjAm3xrNZv73WrjTNwi/8Q/rtwHRTRggrgDZuPDOd6BFsGmAdepkS iudEGiON8UylCc1j0HNJrEMA3W7kCfoehJvaIxgXP+jIDlfGc5Qoa9PJ9gP4 IOBk8edoyYG2I2Vq2mA4C3QwdWByYd5CSzzSSDyNLjiI/z+dxECEp/NC1lVh k2iKFhnOtrzAojFcWbtFoADSDe1I6b/f/XwgJPAP17tXR7uVJmHQta417Cct zEzb5h+C9TJNmsdMIv1Gw9kavdpDTBK2kFWYjSI+YRVa4oB0BRtKag9SYbR7 0tv/lim11m6J26xo8Htl54DlfN5CeLGW2YlMW9OkpaXV8Z2wxGFA+NyZgQay 0Evxbvdq9ApalgKRCdET2Go+0Dz0izvv3MBSLp4ZVFoyPEdq9C1Lw5YJb6vb exSMLRMD7T0KRJ5OK1ANHrNeqdawIOnIbl3rlT1H/EMdhngOC+5Cz97aejU0 6U1HiY4Ko20TLn0I/LpqdunvDq94Sd+s8JXn6cw7a7fEM1FigX9kuCJl6Yz4 L0nKkmbmLUSbEG3EjmwQsGB4oVyQ/g4vBmmxxTjffMArRxqTxQd200qbFUTG Cn4VhTe24RQ6XkLp7jvu78xbiFYzyhNt2GLeCTbBRW2NXkqv3YLGKIiYTnOx JwyKU29a4KtXQiUIX4fBctCxu3VZ61r3YuN8jKuw2dmRbS62Wf2dvuOmBeAb FfBrER+pkkFyHDIXyyuEEM1biBPaTN/kuNNtpngmyf/oZ7ZNgDabvxdNGzqy pU28mu5Sx6HoGFkWSpNr0GYi9gMH1mbtu8VLjtapc4CkJPzRJN6NknkBLK2W BYAu99xNiWYdPGVaUGtWQim8WoEG0HiahFoGL4bCA0BHDWELfQ7Su3nYOB/t bvBHXC0Z9ERfPQzTIL3J7BS2+DuRNpSmXNIlTS0ZNXqvjMBqwC6AiUnfFRJ+ S6RR+g7eBYLF4KtvyUDVVDsx6polulwhaYGTdet99TTqZKUJMF5ZawdmI04M KmD816s9+GVqa4XhbOtaVfXVG/bD4+lmHKuvXKrHGShNns02k3uxu9Ry3lES z/y2WJvdyGxa8LA0ec8hgDxIkOe54Djl4Z3hyryFNiveCSAfDlfuwYH+fWJt jPAQelk8U7cetFYZjTTUkgFSpzSew5oQ/RuQyxmvMJa+cvNOtMKL0tHl1bIc NlzxHlV7foLL/NrsrKugeAvlqqACemU18BIOF0xw/XYAHNRKvip8La8s5bIK y1toLkYcMWBiLnbslgt3Tx4oWFjMtRqlSe8yaqVygrBLl5uni7RpmLr8Q7X2 eA76REBnViCKEtZaJBSI2jGO4diN14CsPKs08eC7YSAw+DqBQy68jV5VuyXr Kgz426qwMt2vS/nIkj3su3ovqj30XSCidwHZCTo1LQhEpAcMXq7SrQejyaNS nAyW0hZpZKO7yl0KDlWp/wRK0yCqXBy8DskeOGsJrn4eyACyPo3zDWeBiu4d fOtbUhbIWFYc2zAkRvBqUXv6h5Sm7xBpA4Pqcg1nkwDFZHQX8b3wuL8g9XRR vz1Bf0igIL3vmkppwiICuQsEc4Sm8ojaEzxlLgb+D7Fv5rwQOImSKtIItyB5 w9c7W5aCH7W4tSLBrO5SVC08C9CCBGcd04mUlfgCVnu78wLjDHTpK0cOArrM 4/G0rgWD154E0iYZDduidHwjzwTcgH2JmQROEha7J3jUVw9uuJL4UpcLq/cq c5TzQh4wG8Hs73QOwKteYWKFVelim9bfSXTMGJ0CZDslpHsyscAmI62k3+c8 DHSfy8P2d1riGDxkjoznOAcQcVVlFqAlMuxHSaGESCAq1UXpGF29M2AMqqIo 4mkD7lmRRpLCfbdAamWzPgcbHqlHDD9w0jkAlskrLLXydP56Gr4WZFIuWgBs fIXNxSAlafwYB0loVbDhcPx5LLjQwXcNgg2VyxIg0IBoTB7/DMt51G3u1YGG 1oo8neFKzRIlNDF8rdrkXmzYHy6gUZ67aVqJa0rjj2c6L9is8Uy2yxvzdJ4j DAIIMUsc2OwV1hCOQ96LLPFh/qiS2CsGRgRTuFQJ0Qw8e3VGmPLkGXwnQSiA 3xKcTqoK9I+vnyR/0tyvG/afu+kfgrGY3KXBU3AjyUnSvPFMDNCB8bAXdXM8 h1wTkFI7HSW++ho9GD/PRds4sHQ6T+cc8MpJO66jMiKtgcpIh86V+QCaLmgy BRo0/FybybTBe9QTRqEgr6hXhX8GC8LSopC8zJUs9hy7wRklvRNpNBeDCVSQ AJ/IObKNVpHtEliyCs9msLJfkAtRUoJl0ZKB5k9rxYQk8l7MvSZp8F+NHomR 1SbKfvhMi5/XmsklQ5xT5JyWpc4Bz+bAVqXpTaZIXS7wFLPQVsP+1mXEd1oM R+O2kLDtdbnAQjjqZF99ni7QMIG5piMbVXFipoQVEQxbAY+rwgUDd5idNjCp nzMfiHb/BQsx/5DNGmkTZG/bZJyvhOg1ciFYppsmXgNXmg84D4sgejwTKPQk r+1mBgp3uDxH0KeDt+5TyW+GpT0U2Bo4WZSuM7YuI6IPV2JcO3CywwBe605/ 50oS4dlZV/FNeXyb5aBnb/BUoMG2yXIwbKGXlDLWSDpSkmcvCIlDNiuIK3jX PzMvhQ2eIzaTzQrQnlTbBYNFGr1y0aLca569GOVdqYo9FsN+/1AeX3GuC6m4 6HuevWCz9dx5F2jufbAUaM6DVLVZQZPC2qo7mW5qzcb56HuJeCRw0u6iRbxW qTAUi/eicb67NLAVhGgyg6c0wd8QjgD0Hm6NgYzvkVYRqUTReyKLY+LC13Eg fycY+7BrUC4UhplRC2sP7KvBqIi/k3ZyfoTXga8goRGzjXUC/kL2UTKGUogu ekgGpKELblrg2O3vrLUb9udeEzE6mIR+O04iiS8CXnA5L/iHvLJhf1E66DV4 U/nEqDpeQgUi4oaRNstB78Wpo5rLow924d/HWBIFu0DgP85vw4/jmY/duUrt eWzSRHSPMVZ8P7w/Y/KV+AzNuZsYb5Mem/y8xydNn6JDuCvkLnUeBj/pdRQl Qlpa4u7FwhrvyEadIKR961q03SUR3jDO9+zlL7Qo+Xyf0N7ZlgQMGO53gbEs eC9voXPgviigMMI/hALOz3BWEoyJH/s7H7tzlVx1Lwp8GYauGIXElTRZDG+A R/0YczA/7x4U0C52LwaIFPAqVr47d/MENZ1kZQiG8d68hdFu3uDWg2dUkPjC ecFxCE29SfNuWap3BbZKwpC0WYF9haWHETYpCQGwxIvS4be5GN+juDICAL9o wLOT9C7pcfzCeQE/tsQfu3OVc4B+wasQKPwlmS+TJBBIGZOvxGdoMOQIgD42 +Xn0BYUIYTT4MzoFOEJefdwBF+uKW0ymDfEc4nqvbDkv7CotboAZ9ge7CBHT AstBAJcRiaLXzgZnMsZB8S9I51Tm/khboAFdaf8JeC/KqjlF6V65ZWlReq0d HO+lHJgCCZitVKO/RKbWfFqwxUXpoArIqvcPEXr5TIf4c3Rs7yT8JQmkE+Mf QjHNPzPVSCri79k7MWOw3U0rxVaqBnfQ4F6ar21Tnk5YwGjc7YPnpvCa6oxA y1qBw5BpJZsJyWgm4x8wNFGwpaFNgwrVcAWjpvp9CDd47UAE8Ps+XOesq4az ulyjFtziK+YDSeadkh5/Me80H7ActJxvyQh2tSyt/UlgK4rEcCWi8QQOAZ6C W0hGfGukzXwA/wIfZOF3RGSS9IcqWVvmnWDR4XVaDKxhUNpIa3kUlF6czP97 QZMLQVeY+GeM7t8PNHBAjcBxwkoHU0zPoOmMNhOqBRYA6NAxaJg/AOo+OfE5 AD4VM+EiGucDzQJOj+IrMcgB/0+GfzoMPtNfIzpk7tIkuC6lKB0351orgko8 81EaABA8GMkEDVov+Afobwo0xIR4L3z8tXvQQSMbnjOBjpbM9xPC3sBdEfDS psiypaj81MLxbaOGcYuaqVJIEShefjniDz8VXh5fAZS8gsU2XjZ+S22i6F4K qLzqvlvh5XK12vPndEHhaAE8pVut4vCfZ7PuOws/YsNa7QH1Ca6wWKisqzBW Al7vQp9CAL+WYnECeIz2s6ZtXYsLYjmoMqKAFQ39hxPzxN1zz2aRuRJoMM4H n2XKPJ+hUbSPKP0DsQ+TYvmSNnZtQB45pVK4eobaEz3z/m9KOu03rGXWYzt8 gQK5ejkpzaqRrVfSY7t6Swb1o41qDqCRuOHzgMX7qvWYdY3nm62GiF/+c7ph 1DCwudcUW9VrGjg6chNuCNENyUp79EzJDcssa9kdRJB+hLw1akF8EiKOQ5Y4 rDwjsgwQYf4FMwIR4cWExfB3YogG/JIHoqKAGWs+IHwBudC92rSBgq5TYUkf 2Rr7XWzjQPrQ9YE3ekti+bFdA5vHwXLC16Yr1a2W8k5rmf2S94Wfju4I2I85 57w5GvVb4MuZavXA9dh7sYO9gzDljb17BvYOD4+O0QRngfb+rHwIbjxW3ul9 oeBj6zFX/Y63zn0JCP4Zfz/S1WuDdy0euN57OLYq9ruBzcMnRlFy4otT+m77 3y45YS3L/b71+XsRQxoCuUOIvTbbvBPcWSHhffWGs0EF7kC5NJOUnMqhNwyH YEoKKNEUxABjwvD/bNyoAXE2H8WTfp9jN8j3VDCRNRiChf8nTfpZ+4DP0/4P XZ/2v3nN/+13EQ6ocxNyBQFPizRazlsOtrwQaPBsthz0nwDSnEJXZvj3yPhY /57YqsHy8TG1CYTDtuHh3t2x4l43cF0PLuIj0c93vFVww3rM+2qwLT6PUkEM Loe1rORE361sJL7hTqCLayMZ493AVh8DteTHDg4sHqXtukeUav8p5zPWOu8L wcromfi8QIHvWZfDXuZ6JvhzorDRAqDKXQMXQSQ1jbYNn+jdg7Tdf3ikgndp O54sH7LXOefYZcNO/QbwHFScN4pTESZqM1zxHGEaAw17FmST2A4sSscYGttV a2j/mo2QHEvceYH9qQkVUbuFbSehSpHaZupyQbkitblspuApzFAic/hfp0px fLWO9jC3OC/gVlzwpNKUejfUS1geDJ+IvdcL4oq3sdSe8e6BzchUo7RbnBpf 4X0BeLGuNVtGia6hi9ojrwECZSWfyNXP0lNy+m2XNw4OiQB4qlqtZo6cGkgH 1ga5JglXyPcjEHrHfC/G501cB95P9Le1j1uPOc1hr7SMntV0ZXFs45W9aqG4 L6TmjGYPLIYxfTho59hz321XOaz28eBn7qcRDh2rWaM2scODdg2gXsrgYmKU cHgDW7Ou1trVdhIMfWOmla7BeA4nyNiNWtDSHHMQS5CEO0mtFTYr6mPE37xT 78q95tit3+74t3Uz0XaxWUH+khylnXRJ+hqavFlJrMGzroLJA9ICVktRe45P XabX7l0RrZoJ888fqUilJawauAi09ztQB6rS7n87CbSAJk77GCTskqNnXM9Y y8qHQBUietqRpbFdsV1qE4lgNRNgy4/lX9msFqo9LQb7B9ayQLbak0p6paqk HjB8E+wo1OXa8bZ+EOFqYSovwsDHsY2x/FHOP0kJVNrr1l9SfqaqYIcIvJGZ i76XkJ7uUl1utBtdCQzjFFsO1po9YTDSrXIVOR1ocOU9V2t3XtDl7rjOzuJk a4jWoOPvcfOa4cRNYJqEKj2KSaC4xSG/7HO0LAX7Z1meTrc+0OAaRNXmPAxs tYl4xVyM5CAZ4F9K7rVauydco2/+tVx4ZDrIgzr7sH+P2qQj/Z058DyQr03N DD8FwuHSuS9pzzL53Gf2G/Zjzbjf9E2aeeHALFiutTpS7jmD+t60y7sGzefe AXl0zPes2kNKPHrLNcd6zH9K3KX5IiP2Ye8eUvDgXoMu3DhwFKe3DfReMye1 JFw2ndBOWzAomgQKHmxXczGoGtobi3b7PgEbZm/gpBKaoQqfo9aep3ttNu2J ae8HMwZeJ2C2Esy/r1I2Cm+RyTlSEhiI6X23ot01a2wm00p3qeUg+pZoyOty Z5Nhj4CnYlwA1ybSKBeCNP+Xh+D8pwKyowDZMhyvbrSx90JsY/fHvsetZXtG lHbaxml9yV5XUh9eTgiPGkB+f6hWifyOkZv9po8+Kl9irdsxoobocliTuvKh 6Bm21ZoG3ojlf5HBT88GC8z0xc3mLvslpzk+bzKw9DwMIoJ5W+oatG3yHo3n 7LkfXmgmJvCyxMPvwGfobszG7dPomBKKdvuHMPzs+wRsJfQzswxn9dslPVJh ng6TVpyH/Z1y1XvTQWe8u/dwr2n8NO1mj3TFVn2wR0pymmHVltNFM9go3OGz 1705Ir9MGhPoY/AEaKyjyC3Jg0Mf/KW9rLwz+jlxT7LS5H0VSPYUyAi6eLSx /3DsvfExppcQiPuNxxe7zPZjwcrELgJNH7/HXbzK1mX+TvBQaT/uHnB6nsIZ ETha/fa8hUFFacL84ZlKCAMM3outy3Bzi7UWuOazERUj2OZ9t4BwTqs9zdNC xRB7bwDE2EwSfIWxVVs2W8v8z3ImQ3LE7yq33wi+AwQvZCgw76qRLpr+6Of/ ANe+/xulXZpF1PKl/ZKrPuIX+m9kGZqtYG3To8fHur+Pj/Y9ywkwCSz895u6 /K5nLwwap54M652F4XBg0D8BExJ4ARhXbQ9XNg87B/ydvnqj9hHSCbkY8Dbv dA06dmNG7777zJ5EmWQED4xnz6PMH3SAC0X78P/yK+uakvrIukeYFpq7rGWe uUALLMZOgdw6rObQlX23C8oKXvn3d+hK+eU3P7UTlwlGXAFrnz/SQLA0n7Ku 2XQsslz7sFljLiasJs0a98kpIYqBB+9GfheUeqh1LfqezgFMnJmFlIF795bz kW33my4+Sv8dy2LvX8VXiIGFQO1tHFmbzrqo4JK1rP7SaCOlD8CUvEtBjxUw Mk2D+tjG4WEYAF3sf9taVrn5809hPSlfL+J11VvXhNcxETXGrvUeHh+jK+Pz rGUFZe+UjHDBxldPuQn3G5nGdUa5EF1X8UU8E16NbDVDaYq0ySvkFUWLjFr2 2nXGGUjs+u22TZjz5pWDXU0Pnv/T9rLgOwkJ2Wvr3TNaOZM4tL32MXvZpqMf WYfLxbSAIN6/af/AWS5XS08LoWHq/cboNkrYO/clzOyVfykZuKhWMYU0+Z61 lu3wwUjpapAq+YN6tYoer7SDgVdXefHSDwfx8Q8let7qZGFoLqZNjiQWFJgO SolZPd9kTRQusG2ynK9Zg6ly0iPEJfuCilzY8xTYrI33QwLcK90fLvzIugYt Gh6rEstHxp/B0j/YBnZ/2fsZsWv9vxofm00LuQLpwfcizG4x3bEW7rguZhf9 3DnHWrf7g8u/6x1Uc5iAwuvQ2o94FwvWeiyWP3xCCIDUwEvWMpf5lz5YgLTx 018JB5f2GHBpgcDJUo80CjhSMREG0xCL0luWKtXkuaZg6j3ICQlznWaQ82i0 mYoW5T2H6b8gnf/pAbJAa9iQ+7S1LNhGiAzIsV0w3h5CJHqmpBNZevQWsPKu kZt6vCJYab9k/zj6ORXTDJbj9GhyOqUa/HAQFX3fAsPww/HG2Sw/9owAdbwA UmERMx+wFKhnuiN6u6Tcuqb5bYV09mD9Q/HA8FxCV9ZuIQFOeCjVLRnOAUy4 8+yFa58lOd4e7W4eqrW3LK1ZMhM5BZkG987NB1rXPgiMZOn3cgdBmz8KtM/j bQJbKm1EQTxmyNW+Z9EYkF9WQ8Mw85HH1B6eZZMH/Jg3R4BK8C7NwJHYhyMN DEvgHQzfRLxgbV+HW04RiBG//VjBpfBygcmV9F7TqAEvT/O/bT/mfAYzQ0ZO 9abFrgFdJf3vwOKVJ+KKqbizV2vPuqrLNe8EfZ3NJKmqfbeKFgGpsAO4j+0V vN+yqyXD90nLUnmF5HuA3tTuuIGWvf8UjRwsoFX976uZVOPy718W3Ci4HnmN XCFQKauAT0I02/ByIHtHxE/Y9P6q1zr6BOn/NPnlHW8Bd2HEvGe4HrzyeokK gmofQ5pRe/6E5RW6x+ONM1jkltSDKLvMG0lNA7MurxrNfihAag9FrgmgQAMB lMxg4L6dfl9rhbScxUx0DK1X4LvkGUwzhv16l95lOR+ufPMBkCT7O1uzC+oK bkRvo3YGpph9eePAx8KWqkb69/8I6J+GDN5/SW+JWkjTdC+11vkfV9vprsv5 /XtAC9Esg232GwXH4rxrNHKyN21gsdrDhPMaKOfO+DxCZtRA4ouMV63S7vuB dY17LukbJLXBNRwVZmAwu4fE4j1R4qCCe6IsZHKvYWiK3IIU2l9V5RXBU9Gx 5cRlIUywMOzXGcEOzZIQoGTwy8Zo1y8kvfEAfFL8nUo7EE1d7eNqj4nWrSr2 Yey9kZO8osvtH7vskXXs6uWw0TBHMMkHYIh4qWBsfAxIbXB8jDwe+eU9nwKq DYkUxNFKjKKo1QSR8rOCG05z8DKvhR7kWTmjGl6OvlZkHc0afNmDA3snI4T+ 5P0R4owgJh936R1DOfwORpyCaPt+i0ROD+Y27rge7LLEBfk4DqHnjmkuex8M j6qC2VhWcjz6uUks6y7wSXJo0DtG7tiLGFDpBINyFsxbz7/v+NRaBwK0ndIp tSCONw68oTal8XSdz7gcUT8DWziwGoDtImB9L1rr9kTkl3kxQqDd00a60oQy Z1dJBL9BmR+MffhQlGgnggpZBB0Zzk6glIpb+PrtpgXeo+BHNlHYXoMZjxKF PcDXIyayxJFCFbB9KKnggUipPSX1zjnBn1P66OCWWPFAKa9u9Iz9hssRXk7B efBCSmKrxtvmMBD2Y6CWbi8UAv0aCOe1PN1q1O7+H4jMZvR06jE2N4fm91uX o4DtfroTDDxg0fFbBG7Hk/C2cn5byngl0rPaJAIYuKcWPAVfvHM/mJyH78Ak Nk3INugbw8ob806j1nsxOiblkDxq6jA4DknSDtkSRx2WjLmZzsO1drjgxw9A KZU9G1hjnFi79Me8/P2DsPwnedY/88yFRf5U+RnvZKg9A7Niq4aHCCwZDB77 sfBTNGW05fptag5NudVgrSvpjPjpHrCcfgdTrhJk+D44Cd5XwUng2+aCMPtC 7dHRl6HyIaRRsIEYrFt45/iYAGuqvCaMMOskgVFLBmGUThIIrGD/CfT1zMXh AiIlLSaLK02ty5KQlnJTySZ24d1YxxbP+cevhin8FDizQ6Ac/1hIZxvIERao vq3WMuczET8FVIeHLu8aXELaCZjE/wP0+YAw/piELYisQTNnXvbdttZZL7UY OO+pCh63apSrbPtu477Duc8QIU1/Wqx4ZCnfEigAkX4icoZiY0Ccu0aWITbS fcChTSixRU2EpvsH4qnZqshgQB4MdnEWG5DObtNKRwkoNBLVUlZLhlxILsV/ ewAoOgZFri4ZspcFwIH8Os19OPbelVk82HNfosnbaqAgHTiD74F0eJRUVqW1 bodPafo6i/F+2+X88QKdOmEc7VgK1EFQDrwBQuo6Q0muRp33m0CndCMQx0dA HI0Ul4r/ubXM/nHzTXrKF3Mvr+r/FSU03geYVKYarP8QwBgxP5mkJPg4XIgM 1LMNwOJtwR7MU/EfB1JBF1JjOd/6Fny346uBQRfBfqm8s+/WE6qqRalB1YSq 2DyrwuAQR+vAA/RkwKxfBbRpMkJGVAnNVnLC/nHfbdp/5kwcdPcmKqZTWN70 mjBmSrcHKsEsfDTipV/ICTepTfSs6C2iqy9/f9KzkiY9i9l1a+w9vIPjr+3o sYEZW0hDSx7vBtVqG+3+CmixXBJhYosR0x5p1VMwhRfT+TAuQ0mcSnuNHlYB U1VBCVC8NG2Ci9ulf3gIvmBuoEXYfCqD9W6kEethMQ3LVx/sglkR0OPdKM3U TJ5NTyDbfqmkHoxWzn3OJPnSTeCA+fUphqUpHwYzlT1H6HFa9+v+ztATXNeq QWHWa2IwQP7NBXH1m8S6jXYT1pkJcv0N2CTHweeixBdM0qvRU+5Fsvt1z96a JdRPgGQYxl0H5/BDIuucZnvZuZ+nsUDEkONIxVewOJZcJuSfLrdoUTyH0ntS gMEPGPYb52P1AiXYIj6BhtotQMZkcOQtxHQQXz0mN1R/pRplaq5Mcs6ZiPmT 9RQd83farKYFQo1j9rWUBKPRgFmjiFJuIOb+PWDFEjlp4/PAx18TrJzB1gSg f3DU8ChrDPslV7nSTr/EM/1DzsPmYtzkTDbsN23AZMy+W2xnDIKIGTgiJUj9 htMhV/NqVuM2z3gjPaLvFu7MBCpxLTTxzOZhz2YeW95CKsrTkkW63lzsKPF3 gopkJ6Gq/1cghA28L4H2TZ33BZgIDRfU/cZhvXvRQxaCLD/HbrSIie51mE5T YzZcMZy1WcMFXIIA9IX7dETvqeA0bMcK8zxd61olKlU9YC0SYUjeDa/G3TBv YLbKofZt7sWYxyplgfOCyXiamiVoDJCAS8PNutdmo/gZaRAxxhTBDpUgUdGH oyDvwNOkaQi/yJny49Y1rX9PUjFc6b0Ij9+HOSHeo1IyvCDdsxf4FhSncX7N mkgbChAMlQ128jqv2FGBnh89NrYRSFgRSWcvWteUH5dfpvjHuZvG+fp9HMDX GLWmlVhBj88ObPUeRUcDTMGVNfp4DphooBwFDQW/dD5jL4t+ThH3UUss/8rT JbsfJIzgiRPCSLcec14pJy1FqQpU4Pgx5zSPpVPwVM0SzxF3qeEsSSGEEqTe w1ZDw5oOg0GR19KZDsIFyAgg0PAFxVgMh1w+S67G/OnWCnKzjZbzHU9c/TXY UuWJ5VCqPX+F8cRERd7g8dhG0KVzhYFB+14YIdV1vOQa1BlRYJpW+uq5cnIm dhegfW6jLtex+/3OTw7HVn1xioVg8B37x069vIIee2UvLMcL/Fj5z6119kut L+HAZyqhSBvWgiAqvk9grGupHpizWVag8OZJmXcefj127crqVJaa6AX4t1KQ FwzmVQOzSjY9aDXAvF9s2C+0bi4WNUoG8XkprPcqlpOkmdMowonbQuRl/v00 lgHoeU/AWlfeKThWF8+s0WNEw6h1DmBci4ImWO+COBmM/3Q1ln/1hMjWQD+6 zJvRd5smMloAVun7ag6Lktu4SR/8OYVo5Cr/kFGLG6pY8SaeKRcGtpp3Gq7o Xd92/WLB5fz/VckrijELO2ioiRVdEyse1HO6pL8B+HeuXMh+Tw74PS4swady f0phUpqah43arO00zER6/3LnHOczfZ8n0N7Vu2fT+fugrSPBUx14O0+3bmaN PlzQN6Y0oUTSYjg80qiE8og7hhwlhrNSEvyj/C12s8BsHCDQf/QQ0Lm6w2// eP2N4GcoglOjY7gTCm7JkXAlTBq5XBdpdF5wmj7YGcvfbe14ghMnQLiC2Yhb Qe28kaAWxvJ7baOVE8QO0LxMj5QLMepiOOteDcKTC/e4uHrLj69dzr+U77oQ zyG75Vyb9VhJffQMPQ/MHgx39DCVFzrN6AcmnncU5YrzMNYKstUXz/zpxZ/v iuXXH6Jh8wh/VguE7XtcEVsdamigtNe0vvg+aNMSdmQXpVsOmg/gTkSkUXoK r0GwjdqaJbCkJGTkKlTBrRU2k86IQibFcMU/FK4MV/bdUntenQbaQOIU7/pU mDcpSgi7nuRewyRinGtqX+VnFy7nZ7tEaa+GtSRmpEQ/p6S2/t2x341sJfZP jq9wmYH9LXAhPQ0TlND9RqFCT1Obhs2x/H/Op04gnAcBS1feCUv3m8TSjRYA 1IvVKqLqZgVGF5BfFoPzlaNZ0LqWFyIVI1qX85fkYoZlwo+OvAbesTn8JO39 gFOtj+36m1/eB2SuSq8uQgHCtuV2z2Z4yJP44ECDezFyOhZgglGFtQIa3Pwx FydMfCJv1M0pppWWuOU8pprLVZ6HYE6EhRs0Tse5L8kqwBQ/43za0sYJp463 xT7sdZeX6IzmYtEFAvxiV7m97v2bpOQGt4DZYBaU2HzTWuYBIZPCaPuOg/7U Ihb4LN14W+/h2Hu/fBOdVs+RRIp3tpW8TsanCpzsX42P4eXJfbdL6sVmI0kb f6fhLBIUcAk9buRk7OCVxc5DKFa8slxFj9sRsK7Z86lcPYtHMNwZy//HX+qz HoA3VibdidPQpgLhDYR8CjeUTRs8RxIFk0p1UClKdxyy/YtpAxqYGi4kpGK+ r8KYpO+eT+11GLqiUKu8wrRSl1uzRCjrWcDMqwY+7jtdtIjUZraq+n4EFP0M eIkE8chN+P4NlUg2GRzSTgRfVDkkvztXv0+/vfYnApWZag8YQRsHnldzcCmx D5jaHl8hJdkvSZrWbBoRFaWDmW8bNdA94AVNBC3omeECsNj2+8qB/PD7RwDH 4diqQYecgx1t9C4s1o34rcdcz5z7UqSa3t4aW/VPVw3GBwBNW1nCeGxdRqMg CdI3hs0m4Il2rBTCpFINdvsRgjoZDf7WtbVbgPLKpgMzDKqs5HjkDNG1V8aQ tVxIGDMp4HaOXIW1Yo6S4GXMZAtks62v5sQ2AuV1E5cH34HHdPbdpkwt7J4m STV65Wec0ANMDF40/Eni3x8RGyDL0EbE8j/zgXC2b611TcmbcjXVYQ/sjb03 8hgXC0Q/x9ST4Dsk7TAhGiOiMG2upwgNnoAnvZiEHpfvuJRluBI4VfRNjBgo 7RTYwCjUz5Oz0Je8L87nblJ2FBG05SA2o5D+QKUcIl85CLjnaEI5NiuuBuZA p5IHgs5plmN3uJLqiu5CGSuykiPb+C1gbYowBhpFFGulcCiKIjAa1gPFiTqT gdWxXSNrk1hn5l4Duv5La51zjvIzgXZT72Fws1/KYCmNtn6rIVHVDXLjE9y5 i37udKB+on4gkddc5U5zBBa9+ab94/A6Dio10Q7aKd4IrPIc1btyP7K+UlDX +hK/ZyQD0xvVHqbyHrj1mLMcBkGSGXsOGLWRNh5y1cDHsVW3E4/acV2/3VIC ctEc8XN8ebwx9t5HX1+S9yDk5SrXIJg4tI2IrUSwSvGPGIxwZeBkPOe7qqht wzQY0EP7SIjg4gPr/t19ccfOWAJ3fMfMc2NgHjkifvRXz93EHDn3akBNTACT qsapIVUK1rTaZuJeZoAjbqDd0Sw+JYAINhbcoDABFxZ3Y9pN4MW+2yA7R5Rq rs0948lw2YPc4Mr/Z9ay8JOSiOTB4n44cpMyFKPd4MfOtK5xmpUmvZBV+QMf q1RPM6Pvtncu0Mn/i5yhhJwXdMbaLU8wt+Ezxis1zGCuL3KfByL/V97YSYZv F13O/7ZL9wBTBLd8c6+ZVuYt9ByB7+YzUWPLDcehQINclc+i3XIeyJrMEPPO WruvPtCAbe42TQfpGTIGS9bsGcVOQp69uvXuUnkFjRwj32AN5AhTwf+itSz3 +ZZlvFentg+aMeqFk38EjOMK6xoQ1CrmgqP7qzShqt3zKfd1AL2741OHPUAg TEG4f7B/93gjyYjAD+zX4R1fgCwmgEEh5w/MGh/DRU8LFNgv2W/E/wCrWdGt ADR4lGO9Jb2Hx7s1Qg8/Zq3L/f6OGwl8q5BtyvYDPFPxJadTroo0BpVwZRKa RCKqZ2TODHaBbZebdbUoPbxN7REkHWhwXkCfwbQBAxqpuvVYoW04m6fDsm3K d78X8A7DBOC8f7QcbIoPwsuxMA5mouFmDkzaX6wF/XdUpVTGFI4dZ31kWqCE RMR9GITm4K8T2jT4DjDJHEx+wJdiCVJ8HiXjVAth1eTf6pzTYlBEDoZvMvI5 YO38SuCmtPt/ZD2W+319UfOw0BG9h3v3jJLASFOqMenefwpLxvUumxVenyAQ DEHkMHucKYGLlgxgZVdisKCG/p+reiPF/6i01XGoRo+uFkV/vEfJiSentCWD XPTkKWs0i3mgdot7NdbV+0/AzP6QlyfajfEvtCLQ+vsurz6W7zUPYzFaGtuK aGPcuyxT9Cm5WGrozU+tda5yEOxZIKkKyZtFB/uLpYlt9SAa352GXwLUjyV2 4jAzZPhN8PtpQcAXOgGexlZs6YfV0qpKguZTsSBgAdov+d8W879rNTKB1Fer 1FsyNXqmvNNV7v4+dq4Df2M2y3+MLI4oCHxq8Oe4s948YgZrHuwFHKr29ilK wCFLE9iv+W17meebDhuOQ65iedUQe+8XX9cb/yteEVRMG2zWGr0nrHclym5B futyseSalgRrvURUc/KSsAfVU7sFc5FELkGtHdbxj3gJ0EekRn85q/hKrGDW b6dMAynLNeg7XmvvuyVteMiakIMX9jrnFNQ5ntcZMb2XAwxYzSLyv3XyPCdY 5wELZgllXY1n8jTBPBu0q01Iuo8Gf26vs79iXqjLhef2IH/AEg41dzXfRKe9 pDPi5cWYhULJ5YCLjxXc8Mz1bY2s++I3ZIpy8yadyHf61/g8jPHVbhGLAkJw 1UgXLYoacm0B2VOrM6LBz4sC1IFKmQrldbjlba0LL++7hZ0xWitwtCnjlf27 L69CY9Jmxb4gGs9mQhpTmzRgNyc2wcDztVkTHVq0wS7DWbRMSWNhg1+VrUIN arcHLJoGWxBOGEznqUXqfJ5FawUyJT1MbB9Qe5J4JvZxkJLASL0rpgAeCO7B uR6yhCTs/G9b1+Q+bzmUINPR07idquaIjljeVwHUt+Lz4pmmDZzETcCOZnO+ 1eMsnEqOW9dYqAiSmmwhT7kc3qWejB0ZnozyIecz3hci6+6IuNrHpKTAS5Ku Ndv3LDi4H+yuu/TD4XJReRx+yn4MnNTlqtq6VJebew0MPk5/axp2sGlLwi25 40lUd470SCUPHPxZzHr6Nbenqt7hAz7/EeY5+05gIy15xWxag5zOxe/9x5Lc xHImYxDStMFcbNoAwr5Y0uLPhrN6VxJ8kIwf4z/QDOTQBxqyriZ6OslV7sUY QaJoE27wPWhZueyOlxXI6i34jHf4e1rXBk9xExegnnM3o922TWiIafX7/EOw zj3rp7OAcrX9Y3tZyf8XvSVI+gVUykzS2vcV5JrwOkGU+n2mlcEuWsHxStYN hCXIqzX2Ov/WROIG2QYjbBuAkjr3ZckJV318Hqc8CbEovIY9I/ay+qdHTnF7 NaXaM9d+zE+4qyHHIbQ9gddmCX0zzMlZvIBqu9MOnt4345k08BlgqW/G/Cw0 UtB5x81X0pJ9t8zFWPYONwoPb//eb7uWrPds9h0XLOkuBYchBfOKavR5OnCT k/Fn7oTEq4CNlRN9S7Huy6jtoMwubNzwwKXDrquJpTOtDD0hli4lss1wBTvH YcuAfObKloysq2zhoUT3lWPXsOjYf5nOCqo9ZhOarUERogXzuHjQzhZCeF0B lh78RqxMMnYSw6auChdWYhJoSf+gmsksYcge5AjGpGUE3cab9wX2D/wnpck2 NH4+47e/gVvq/9dPEXbagOyMfq5hcsm6alrQkS0WD7ORh+tVlvJa92zr951z zn0pVq43DVNXVTXit98ouBGwiL5omB+KHZHBciDvs/P6B8n/eFX6L7xoFHUg qYjBUfg/7S46L+Reg+tFSY9+e8tS6aHrhCXoiXXK01FAFdcpteepGrMlrluP QbB4DhVTp2CDN0zTdK82LUih9cpFjYFb8vHMl6exXmAoSb+HtZneb/bdfpw+ DPXbQPd3YTUH7RW9KjoiIZ1gpTgv1Vj/BcwvxaWa6Tuu+471FWsdGhvCKkQj hDuxnQGP6Jl7V2rwJ5gjK89TVeDXOvuNYKUo8MTafQoLhDjbfeQkZj6oTU+Q dA4Zms3p1jL3N+WXnyDFXQgSfnC8G2yhTjvmgFZzdBnNduzmQytFschkXil3 6aSV6ryzUvrtk8pxK3S5ojXeVwlDatPg2G3Yzx0CDlLUCjPCKHPYOaB3YTl3 oIGWirIBwpXo9UiYZgOkgR6A9NfTWCRqlWo45/qEIG4n6y9NzcRCnfFukLxg 59nL+m7zILEFgA5T73sYPyxWubxxdButFBZ7uWcXfOycgx5/QjLySvXdcs7x fPMesQgEcfkjjD7KL8fnYS567bPcHRF4yrTAtFIu5GXqIl+impYJzGCj+Yeu entdM5kruvHTl1cNPK+saO6yHrN/EOU4Eq+05witEdo2v/j6/bjJZhL9MjTU WDNRq752on1hwg7R8M/67WhCIITYsFaIzGRsYPvabNo6/1P+HTsOmXeCmrTh fdi5W+KNVS0WdwSVaPe66ayNrx4jTbyTF15Oa6MbtcQ+jB1UmyL+8hO4mSx2 TXGTDM1fsTDkLd7eilyXLq/AYQe7MOvH802l/a6QASyxwf7B+12TmYgaWo5/ /kEtXPeW/PKeQEGd/ZJSxQY+dkZCF43eM1rZaxpIVwvJbkTEi9JbCzBf+Fwb uYGpyGFXXjlX6XzUWtd8U+z8KRjAlQvJUvhcfyn/F/libY5gEyd+Dfa8wm6T cwmnEkyvu3dxBAPR4pBJKN21OGCXashjZFNwEa9F87DKG9YaLMaA/+cz//k7 0RsH+UjxNRR12JUH+LJgGkulcx6WstB1bv6R/VjJ8ehtinZjtmP/oFzte9xe 5n1Brqbpg/ViMpxNqIvQ8JtC17MjrGAdkFyIGTbWstaCvtsged6KnsGwT3wF ljQGKl3lJZ0iDEQrBhaiBjg0LXLm/bUFdZs+/vfLsKQ3nHOAYighodbMvi7J FYzn915QC9kgbQLev4Ims+/xJGsdlVEBVrQRk4pbvW1HYBh1e0bEZgzuWh1G ASCW7vLE0rVWFH1P7MsmY1MCw37bJuBU6sLgCd9lURzXbw+cvIe3PHuxxcZd y0cvwQ1g0I1UPo25YqqozVWirRWevbQ1JkRgrdm2KVBh2E+ZJBrsxQWf/+Ah a0eBI6XatEDKOndTVaOfe5Zi1pP8MqVJgKX1Rmzj1frmm5Sb+aSORcuO69hP nHTVSAZokHJuyDMXGzHaNqF98P5v7Jec9mCj/ZLL7H1hR2DHqzt83le9L/hf 7Puc5vuI/5S9zlXvmeudWz7knltir9zctvncl5jg22qgzJFII5JjuJJXDTOG 3lOpac8MwFUyLUCfnPdyS46HvUhuKQObP9q05SKNfwU9A3v/ghStmpVYrkti uToMudfCBdy1OTpmifs7sS+05TxSsJ7Wcxk6dhMG/Gqs8hdtWzCfWu15gJVB Nwe2kpXBKRTzMahKa5aC/YalLGygFz39HDMgJSaTS41UgQ1ygWHXTmPRtOEC sCOz+m4J6w/UVB1tjM6hhavqH7y86v2lzjn2G60GpT0toVOMWkZDO/I2Zuxw lFmrhGxWnbF1rWhUs+NfAdRO/9vgkoCBfK4x2BZeF70ltMMjfbfPfRZsDDbC 540dT/3q0Us/vPCnGN7yPauInJ9292LcBGE9Thnh4xyw9n0CQvqCsPni83a8 irk8ET9vfMZ+9+NSNErhd04I7sZtgcBJWrzO65e+HltFi4cF8eedF7gJ5Qxs M20423dLrsKtNpCZi6NU+aONjpkPOAdEnzuY+oYdMlW5YxjKUZK3sHZL3kKd 8T5LKE6WwXSOicodYEhSbbTLXZSObVls1tYKJYShEXAhapag+M17TmJD0Wg+ YDmfe632J3LVC9NZS2wnh3VyiTh4o7XMfiNQyaFPDZju7//z3/FuGNgo1Ym7 MJCAuoA1UXavrfdXaojWM9KG2z99t7iO+rbLjDZG9Azn/A0svrSpRA/G59Lo LdEXVb/dcCWeSb9Q8438UQPlx9XodUYQPuTB9d0C573OszT6WyIxcJB/UWIv c4EzwtVG7HEYc6+JajvN2euX8i/zkj0K0smOPqW71HfcsxcLPr0yB9hbK+C3 XDxy5hGVe46tNe90HvYP+Y4btdRzTMdshycbmA/otz94zWDWO0XtoQa9ZyEq U9E8sf1YZzRcMe8E434VU3x0LFwZOZ0yUa2s0e/DTrvSXz1kwXSCYTZhp2Wy tfxbwSlz/PuXFAb64tT22QVlIIP+SqkiGGDiLvMBNktGP+u/EMtXaWcZhogD 4qlQOgvuQv+WJAjQwCdH1r9CLvnydBa62ByptYLXqAcjHMPDtEbYBB5cH3pM JFhy3L5mx1tgx1JUczSbhuJL5Etg23HDlUijWJ+PFgBL/Q1pk3b364RlFkut okVqSOUMHm3fLSxiqzUn0toKMPfDuad5GNYhnfnRV6/LlVfcf1EaqS8/L0oF IfgMvbEaJa4kgY/0l3ideD9FewMRus4+nZWItGEjzL5blJuuVHvfwtBvx1Nq D22mR3+7AxtUHPO9yGla2uhpFCodBpZNmVh/xPunmpoluMEvGiecxiIpV33E y6nZfd5yu3VNiaPjSXama/SSlHtNoQJzzfCvYxsHzYnNUFyOoMIbu+vApC+L OCmY+UsfPLA8ckakVOBpHr7jE3wC67Ce1j0U7HKX5l7zXqRmM0jTzoHaLeT5 3EdG4b4Gyyjzgb5bKjde0iGzmVaicxs9Hc9kGZUiv1yjx/ZrwEL7OIXzSuBk 4GS0G8T696cBtKZ5GGwaK+ekgOgO2I+56sNPMu8jWXjRoV3/yv5hEX1Jxl6H eIyPSLQStfejlrmMAGq+d+fS4yLrvHOxkc+5z9R2ruHuoY/gcefeYWF+GrP2 Io0E+Kih19R/QRINAXETJ9LGyXrtWBkDIupzSaRSRD/ffslatq1Taad18w/h JjoniGlOXPwF0j+3a/0Mz9mio63u0ebnblINu9DmzUPwmYXe1oS5fs3DQMGr eL7R7o7sjmxTMWsBighJ2GhCCT3/EIQ5bS+EHgTwkkpbRjs+BUzKUXuTBIyv aC0o/8RatumND2yjBbyvFoigJcShRYB06OPYqpGtc1leYNJX4CQ9K3oGUznQ EuCsXJCIgQK0rzdtblssUsK0aNJgPJyeNd7Yuye2KqFNGo1U2EzKM+IFEVPm mdvxlFINYoaGprTH5wWysUykoO5MhSTULx+sQVAfZqinbtwRvLjV7D0qJXk2 k4EbEvACSWGHfuzphWf+SMJeokT2NBbX1H9x9XSQlVcgGkGFJt93e8+Itc7+ wZufnvtSrhY24Bnvq/Yb9rptH/yPRWhnciFak+U8NmQmLh26TuWNolclvjCy LY3XBYNh9ks7Auc+g8el0GfzdmSA6XWscu8vNg1c5H1WHLnzglzFadY5vYOA byZnbiiYzMCJGaAAw8uxvAfD4nsCgb8XcZM0+eXAO94XyofQFd6y+V9qxxsZ Pst57P3N7uCOzR8kA8zFKmc4V747Fw/1q9Fjr9Wnp2D/KONJ5Qa4B6CTC1uX 2jbp1hvney9GPlN7uONoE7bRZcA9m2lxvjcdwKNjjhJ8DU52Lm5eWtdYywpu eP81vK7vdrNS3llS7ppjL0MP7z9ejF3rH1SrGCVfOVZ+iFMywLn4EOCby09E Y4dTM+GJgWwMRNtvlJw491nf7ejnLYbyIVc5KlHnnPe7Op/GDQB+IhFiPMLl pyCDsH9OVwZLNGx1zadNxP/A63OWS9hCR1dwyeUItsFTz/hPuertH+CHyS7H T4cvvRf7R1VsafvqpSzPXu6ronGXvncVgMejGtLx3AFLPOsqWCqYr5KLRxFh lH7RlAV4nPElsf0tJvh4Ju5/YbVqh4HTXuSqSBs2uMW+uCjnU6QsxyH361iM J+fYprMSkUZL3HIwTg0f5kR/i6QP1FrG/0BX1ru2RGEIYq8txJihh2WzyoW8 Cg2x3w2EeRU6ss07TRuUJmIJZKSCGxI6zum4vvjXXoeZkJGfqoXYZGO0kQuu QnjykQ/cRAZ74I3LGwc7JaEIMBnOV8+nCWVG/L4X7ZdwZBpcCpAox3wV0c+V 9pGlsfd63eK8Q53RsbvvloC+7urlfIY+XGA5iFGg5mHUdS0ZePyDYf+7c6dC T0mCaLRjJMdwFsySHqofTsYkceyqCHqCjBLfcdotm5x/+9x0QA8XYOiEIzyz Iz/1N7jqnY+WnPC93fFkeJ2CiVgh3P8fyYAXM5HextasPU/dAXw1w4OxIueA EiLjOD7P93hJOTzJUT7Uajj3JZgjXD6LPVt2qSFR49IyF3u7i4Rr7Cb03sDe hODCveBw5Wxm+B2+8k7XMy56muhoAsZ/8eAWHlQ8J/catiETOP/XX8bypSJV BBct5wMnaTMU0zwpNJ3J5/1MNVUogMUSM5FkDvc2SFyn3ENnD6nR7nAlVrZx tnm3uVi3Hi9OkrK4KP4oYbtqOtjz0YpyFWkh5WcRf9jL6VicLpU/cupRpjuM b4ULJiwKmNxcwdiS9yjnaWjx7ohfruYirK5e3ZXNag/dH842nMWKEgJnpCt2 LbaR7w9Xmg9kXVVCvK6/xfsToUYWPjdFESIeTEPnjaYxvn+z/7LAFxOUWpeJ LiKMr+g1tM1mDZ66xxokiPHcu0T8T5fr2SwXUnvwZKyHR2YAa50MwUhj7RI8 Sw07ExK4WVdRDUwPXFRiuCnOG6krrszqTRvn/HDnYTRo2RzUjGNtSD7pGGB+ rwwTxZi5QZ3IJsGYERe1oGDH031mMCX3psU2qoWknbC6wTlAya1gqvf/CkvG BImjIUd7W1SR5S59znU533sUPqWd0A6D83Di0IPJ8IF7cBSWdyp89DJMiUn4 Kd9KJYcfCw1Tm4dYSHgv4h6eiLVFkV49R/QutPSoy3hrBZ3n9t2HgCiC1Uhj aBbyFtl4N3Bo+vgY4Ygzw30wggPMMKxn5UJBPkgteOr3mZYG7UBLW0UuPRrT rcv4nlsAYTEjlTApywnDUQv24RT0i10DHP8mFwoA9Vkf5VPwlwAMKkja9wEQ iLZmyf0BxIQxaaLUqgczZZH+UrHgA6sw+LgKlp+iZQH5ITqjUZunC2I9xnem gx4vlD9BT9rbN2lzpJCQiLSZkpGrGYmx/j3g3t2akyAz08pII6NXOLA3tmp8 21xeDtx7pMwXDl+t6P/G5Y0CQAF615PE5ltBMJcym0cawVx2RbsFfpL08wV3 8EOvTRy9dBd+mKPZuuz+/IvNCISIpFxMPH0By9JSlFCkEvMEsUMyoSdXUw06 aSVED4TpdJDDk4rByW6tIAhGKmjrL8T52XSiHibWCAgKQaHkC+Qw6822KZ75 +wLTQ72HheEaOIknpCkhAVvvN7AnIBfItuXp0C1jtHuG7dgehlVQDmYVdWRP 4PbBAt16YDHELQ0JGSN7GBqajBsGicIF98WNDsfAlBPp23hondL0XX6lfwhb 0llVkexXlI7VJYazuLeh4QOi+JiZh4EW/2ub1Ti/w0DluYNmbCcl8s978Mwe tOgTmPUCZqOn5ySUEJ7TSvMfNXD+EWHGyyzi02oP7gePGrjNARoNu+XC35/Q VatGuoQz53keA31CUUjSP14lg2cWHgJjnF+zBOvXWAuHnjDnU272VKwoQI4u 6rtzsbyFVW1qUXruNZxrPLPDcIc5+cxIRiKeA4swLaSiY8DIC3nNNf2D2HWH fXRkFWzTzFNu6n//Mljg+jusRxuSQjdQFp5d5Rx+cd6SsED6bZeLRw1smgS2 cgq6oMmBWbFd46eFPUnnEQxMYFW2n7DSqu2BCsfurKvIYCkMllfG6s+p1iEm tCVj5zLsvw6Tp7yNaDcG/BMSy3mhRo9USiriocAgAzkPx3NYaTbFDvYeHm98 7A4znLvJ88MOD13sXSghLMprXUadF9UQZehmiPIWOo4GSzH4rl/FikdekCao DrUiU11Brwk4VVAd0JZ+X3RMl0BlYS65iWnxzMDWWrP3YstSdO6CpyKN1Cdr Mh70NHkFHnaoNBHVYJAW+DsXGQ7UBB+XEsLTpoRQys3ThS3TA4c45Xm5eiKn DBOVH5uku+oFOEA0DQKcJjygsiNbKMIri7GPLLlTLS8YruTp2O4dXHJ54/An iexO1E14qhjPhqpNrnMcVitXo2fJYZdEFyJKNFXbuRiff57YQp2MDY46Jajg gXo2Kx4XhfjolKZoG44dBNvu4E2l/bss+9EOYlc6byG1RsuZDkB4hAOe1MQ5 Ww2X80GUhGi2zcOGs0XfE7OdAxL2J4wPdjnHU9+EqosV97/P+b+4p1aMCdfE HMM/AVabAAhNEvDQ2gUjhgZ/Dd92qpwQAXYfHpekhlInYbSBOfTcTRQdnDl0 kqY1VfRQlkLYIrrnZ2GLs2j3c6o4BQ7EYRa2a2UqiuLxBwnVFlSmCZJm3Uw8 qYUWVzMQju0aLOfEZqR7SeI+q5qRubDqMmOE51/ZrNExFiAWrlUijJR24PQs IWyHj1MrKMJICYHpI/neTBgeIpG3ge6KdmOMrMMwGSAUOynok+IvaJDzWZZn yQ66H0gaNP4mbHgjJo2SBkuOZxYtwrPMEwfBtCwlv5REtK+cijGWTwcmTFEM PZFIg8T2ZJzyqsV6F6xBJRE9cjO2qz+NW6PRuWuo5AgoKkfSq5TfpsWyIcdu 7hKjQXOi/3CCP1F6ti5l+svpPwz8WSBqbLDRWevaySihx6OTqzxHzMXglhzU rUdLjMsLOkGdNN4PKdLipg10/t5qlhXhSqzjJzsonlO0GFBIZU7zbIYpfOsh 6CQn+AZDlmyU34qt6jeNdz/Bj8ftHqYJ7fg2gqeQ4MHDNxPwYD7eweEhhhcP IsTqPEbn5iR0qslYX8uU14itx8fHnhCAZNX+RLoHnOiYV8bixr5b6LeJQ3Tl Qu/FwMn7kxE1pJ0gI9cgCLHn6boxQHknZW2L49zCBY5DulxiN0cJJRJnTwcp fKHNJDTa6BOAVIlKPiHuGOaCTksTEO6K/Y4bMWLzbQkPDRK0hw07RrMNDC5a 0v4TOkF7mFXcNJuFi+NQwvaiXkaYSUwzrN2Cmu4eqDQd2e7XxSm9msBWMo0J LTy99T6eHz3r3E36lfsPgflzk+aJZJWKh1IatYYdNiuWZxNoaNtfMG1g6sJD yoBqpo+ZVZQjDH8CougIK6Ogot9n2K80cS/nJuwdNk4RGuraAsRCVymZl1dh 9yr6BZSV0bFb4Ublo90AmVtdISDLew67ENNlg8cpE5OPSWl9C+Og90IWVLC5 vMgDzTQfwNhHUgIzUJv3xUxtR8ON4zkYXABw1jBgYKoXo7/gXhx+hwGLr+ig wxAk2qaietU/mwoYlddQhFOi8hqO5LxFuzVkGmj692DPV8ai7xbWFXP8XRN7 7/J7I7zpoEENmwAMk+b6B9UQ/QJihM7FTk2wdm+Jmsn7FN3YZ5OVJTLw78DK ILLEvEDzTlFCMRkwPG09epoBw0gYNu0X3p2vHOTBVMCEZds3Ftga7FIKJcwI SOm75dnMfWC9F0locS2UOHTDWGt/IEqTqr5oLen458NCpmfiiRmjlcLtQrco 8CKhNLiERBOh5H7dcAXuYo+Gex1SfEBeQb03TnPBaNPl/P5vMCFq8eQ+54V4 ZoJ583tLRgvoF6yyNBfHc6ai9Ag6zhiExGwgVFdFiyLbADl93sLo2FSE6HTO 8DvoaNXaJxcv/DnDClAZSdmBt+nvRMN72bSgoS0XAQ2YwxRZIke+1ozHpEpC xWN/dUbGOUDIiGn2l8QOjlRgIIMa6YAZT8IcZp82ms27XMFT7Ick4jjY4vCW gRkRt+bCBVOBwYTDZUWLOC9Fg4pdFGBqjFo8nPYe8pnHdNZagfGnvyImI1sU rHXFfwJE+V/wUzssjhK9i7gs91rrMuDIpfcFiRh3EkivzQYaPMoJ5eB9vQd6 iqaMhjmYLmwRYLH3LLXnEcbCiMwhQoCxD7FXLN3hvEDoEUj9u8G2aJAmRD9u lfA6YM/L51XyUTTmDjDbTkiTMfpbEj1N1OVEVGu+Nts54BzA5mdTzW98LWZk dWGtjeWgfwi+exGvQV5yHm6tSARBw5VgVWaR9cm9iXcCK4a43f5DBLfGE9Zv f3cu25PUjr948BN8Me2+mncqIe4Pto3EDfVU1uDGcFiUm4xXxg7GPlILCSLv dXTcGKIBOfbhSAYTHuozMJoIlOEtYL/amSUxYaooXZjXAiE3C+d4Dkxu6q4e vkQXVEiU4N7TftyFwHSylNYKtEON2qL0cKXooEYdnQYSkOjWOy/Ak6YFifMC nQDGkFQNPB3LH81+ShVKDpNsWJflxFBldc9i1QKgbIg0Mp1VYEtYiZqfNA+j zObULA32cxq4LsRU6R2bvvcw9cd5MiFybKaepyZjMnVn+UnGCKt3E124qKPj C0wwfd21W8zFuBEBOuYvWOBQ9Q1Z1HoXJqpQmspDkdAZ9fvADOMqyu5ejFFX TSABFirFeTSgukvGuQhSQCTsgEE7UFMZA4GmJMYlCIiRrcAmCal02DgfaI0Z rupyPsbcOSjeg+/oyH4oEpgkk1AuRX9Hoyc2iTRSoiKW4P4Fi6OJKIcGhZHK Z+5MAwXDlY6X2DTgExl4SvEcEoKVBEJvCbYpFW32byK/ylUJppqF3n1mQtVg 8JmU0IgSW3Xl+QmmoiBgQtTm935DzRQwFH0Pz7+g/COGIdIYHUuEsgkJPU2p nIb8R/eDKNpN/U8JIs8Ruu4HrH189QCehlonLGey8ndmXWV7Jtglv6tymtlD m/LgUXmGK+GCJwQHfAjrO48nZpwP0yaQBo5MgKRpeYEsNiFo+9+P5Y9XMqyZ mNDMRwVpx0+TQOVKAXZhot0cLDgJhmGJGiJ6pB2TI1xuMrkV7HoGHbnBtDIF M5DNB+DHDRL9LA5DvC9imMIzkSLpogINTMjQse7G3L5AAx5AxKA11ej125my sq7W6EEcTAu06BhGuKPdwn3Eyr3BE4BaEqyABqslVVV0pTwCyjqDgavdAuq9 VOj97n5sLVxIwIF1rDMfCBewhYOVuulqJgGH8QAsCGKuBLsZrPPMBKUWpcf/ +n64JWNFbN5CzKJC5wpFEx43E2nEXzR0DGyiF3NOsKtGj0cIKyFq0OEfallK KPX46lNA8oNJQhlIU88BJIEeqcRjVqj3+U4wz6uw+CgFz2kxbVg3E8+JIPc2 Ola7BSwgcQgZiNRqSll9eLOoRoQ4Po8hxu4Uq0ZOEWGum4kJQRNmUv5gOeOL x/n4PhEmg9Jr6rUlrJSidP321gqGNwRW9qCQ/qgq8TAZLlujM3GkO+x+iE84 F/AGGoDLiSzlFRiY5MQYDebdgtlNW9fhSudhxyH3akwl9R4VXXTAt9yfSC7W YjFOns5m1YDjrsEOC/fBFgeQgvkVqE86suVCTFVNxSQM3J0ybag1g/z6FrP8 uZuOQ0I7bCcz7enpQBtUANr5HK7DAzX2Ags3ElRgUEjgmJPtoPkCK+YEtthY JsAuiGa4k7buGdsQBlWah0Q3F/CfraNUQqFhN0mIiULcMBzNzmTesZzHk1on n2AhPBjqQKxj+YZHjlLG3iNylePfuB8idlQznKXiUhUbULWu5ZrcerLwkjED l3ss4Nb9XUULT7Fo6LsF1gnWFeuUUKQR0z/0+/CQeiVEgOLpTwlpy+X1FHZ+ GKDwM/Z0Euq2rf9w7Hdq5jxVOHj4IA63ZGALP0kkzmZdRekkNM3gHKDutfNU 3nzYIrZhWYKU9trAridMPf8L80iErsE+rquUTKHR8KzpSOM9mAYVlMgJTN2l tWau3zh38+4j3iZ0m1Jo3omRI90UqvxD0jQkXjCDBY8RA8+DUBNtlcWuPRkp 00INzyeFuRIEowWYXKIWCqKiJAgLh17wFJk54tSkvluG/frt0e6EiYeZmwYB G8bSJ8HGZyUI2PT7gLKFYMBOoky8ciFnI05FDQS7axBrLsQx89gtO6gQbrV2 886Jopn22i3gf2WLfrEtS807sRsavX8ydF8jZdATHWtZ6i71vhFUgH8xvRns mta18Zy7ip6eZa1EMYdkVmEI2fQARasJFCqBM9LA7Rrm8RRAAu5ryeDWswaK WFG2qTbyUwRULmRA6ey18W4BKJrAlLCTsIHzh4cFoEfuAApa6eDAZgHou54j uOM/FdAUrIEEmSh3GCJtSaBkUzBTAQ+CR7ojYJ0DudfA0xe1ZNT/KNEf6Xju NezsKXKg78ZVF+12DlDUOcuoxSIL2lTDJCoM/xOawS5qCk/HTOiMeTr84mFw ipOjMcM8qDxOcLQP/1qcuYJdoLS+N7F/uhJiY8cyCVIMnOm3c3gLuLT/cK9N baJ7MCbiLuUmnBrMtErgad5p2D/huGBx06rhYVoEJQQMyzvgk08xwUmC84jn 0pk2gEGUBII2xWZFazpPh8eLE6S475mobw006F3A76Ibv3/ItMFxCMvMp0D6 B6qwJEFjiyITXzmwVBHx/VLcW8O9Vz63D64bNh/Qu+iEEzQibaYaPTxs0XTA jeeg6RA9zeCG0IIaWQvTJKACp1ANJeJiCO4bfIwWbjGsd9hEpwDsUFuqhviW k3ew1RK2J7i0ToO5jmBuJ0TG4sv549sEhfvKcZtXCd0LLrqhzcOevdidVaJz BDybffXRRpGWrMEDpKbUpfLBHKHgKTwaOmwR56usxuD4XaooU8ji1xMsjjvy Kre7SI12u1cb9mPNF/UNpFMO5eqwxVe/bqZYkNdmw6L+yXQwDleiHJFXJLpy re5NG7V8jQWceWfitHQKEIGpToU2mN3k8sqiw0EPq6wEzSPGjn+L57ATVIFt 7NRQAuMrHdkJfxM7I6uFdAvGuorS7z6XrDgh73AXk/oiNYHs45RDDe5XTqkp pRzM6GkcMapky8Hk+6BZOoHmYtp/QYrF3oMNGF/Qb6/Rg3BZxteSONBOcqm/ MQ0wNR3ZdIyp6LnVW9J/eLyNsMQMQwwgswmUQ24PY+leLWXVmAWWTXeTeKTR ctC2SWCJvXWGHULHAVllIZrskKEda+Lzr8Ed6sAzxCdjuVGlE1TwOFk66GIC R3cp9iueOAl+SGcMbKXSVtw6QLsTcLkHR9xLTJRu6HJrzTAUXKzkeI73qG59 7jXnAGPYkU2JUuIIUcLbNB0MW5Ya9uctnGjuhG1Xc2hqrIn5rHrGcPE4dyah WrKEaCwE0bhrnEk48tm3UicAHDl1uXgCQDC3crOuRhoZwAwQEjID2HeL078n Ayi2i1vXemXbjynLCXvK+Ye42Y+mJcO0ACxxoQ88R3Kv0UIngZ06M2Fqhgv0 +3zHVRV7SIFjPJnXUc7o4pmuQVZR2LVBLuRd/B48B5dhAfbHmAZ5ntFuSnMR p1yjNzY9aHGH67XZQvefInVUzdBSElXgJENbSKfJNU5AC7ZbIkhkwi5nQjrk 6UwbhHSgvk9z+GgyQJCcskzh93KzRvEazEgLNEyVpOnxTLAWtpsWoK63bWKP 0XkhQud4AReYVro3i+5Q4QLzATzZnNSj7zieNSjIJsM4H2TP1ONXhV0VLvBe 1Lt0uf5hUGibeSzeo+BKdFOQiNIbJpre1+inAajw27BHu3+I4KEtK4fa8zWS 8U1s5STaQatVV9J7d4+LTvU9mFAQaGCr1jCJxuOZmLIZrmSZi51wj7JSo82e O6gWUjrwza/x07gzxmRUyaDCvBbTAvfqYFe0WxhUHYYavWkB5hhTVrYS8h0H PPcGT7VW4A42eK90SCzWuTt2B7YGFX+n+cCdXr2TgDUmCBSEL53YGojgHgbt qDWR8x7PIQtVgIrEPz1QlWrKnKLdfc2VWbFrIyelLPWOoTN0B9OBRb17xOlc chVuHQtniTIEHWoTY5qDiyQiJ9TOL4FphwGbectUUI+pWOlY7ZtFWmUZVu9I UyGl9QGvfYU4gL61wrE7XEB+PXaAd7+OflGNHnPUqMAm0lhrd5c6D3v2+o6L I+wnY7iAn0KnzK5wq1zdtNVRAnbSWe9FAP1Pmcppc4ibFLuox+i0cOQMNLae MKSxsb9k9B0CEpwSs+ilkgASs7sbGMhCDKRy2Aq0O+bq0jGUCUGxGCn3Hiwx WJllWiActbbe3XgsYRZxrAV1KfdqusvtjDS6F4crhdtZuOM6WL7c1RG1fogM M2zMih0Re1T1HjN0PgOcp8Nz7y27apaAV+Umsq+ifaKs3A8DW59mKsXsF05P BferPNKoVE8LQW7UKSJ446cxKKTmIOFTSNILlj3DFxp2gGt+L3zYBnQRtv3N 4oXGtHnOIMGn7eodFPor2IURTCGXu+j0uqosJjeM7II7NBU7jOkkwiCYswIz nrr59kesNeh4PpFZj7lYhFEyd5bEpp5EYzMwu9JXDw6gC8ugi9LP3VR7/nj6 EKk93DhyWWwjHgdBEIEnmYubI/9/e98fFHWa3tknvxqHmenZZTN9WXKBjW7s Kdm1d/FCbzAJXMTYteyN1JAayLK7wokrHU2U0z1k8BI1mlWGuWEZkmGZ3ovK 6OmitXiNtViNtTGiu8w1s8NWE4YEqhtjI+C1d9K0Vbj9vefzPO+3aZrmR2oq 91eS2hoV+sf7+b7v8+t9ns9HQSSRjZqOR7wVNWUjoKC+yevVbqFS1Nqiipz+ AQqgRiWmzzRkU4ysNiVItljVU4B1wpy6h5fusN7qDPKfjNLYvCM3QdPJb6i9 a4iilFNaS8iyxv2DeW6cV/3jEADl10PvrgU6dPwCtN3QP37+n4tWEjh7Z1qY ShKzMhtLfyZgqfXN/kK7ZYihkwhLKS6Sz4F4Jdtf7v62KgmggqkZ/4CCq+lt QzZBqSdOuxSpHL9IRUuxaDHlE3iIRBE52Cj5YA93R/BVZrCyP78zs2lXvzlY +R90q4p+51TZ9A2DhEN7QnRRLzREueFcPfRvB3nNw1UzcBYcWQe2sbYUhzSY tqJ/27gWRD312EtC4gEjd4/cRZghRaRguxtsVJByiQiZebrYHr5nFL89Czpw bZzB6RgyVREoC4jWqkAIfrljSOf+nT7geziXj89JAnPAyVcXwSkK3JWOEttF x/7qzaVnHLnCGsizw+CIUTzA5Bum665WZ0BQmEyZxn3OnXmWPRi9vfN0HQjf +s0d10trs++jqT4hvv22BXxtF7kTCg45Tdxl9v26AzzfweJfapiJYaYcqnGt MPe9bNkDlgeGOfLMV+NPj8x/TrY0+Df0ELuN40CnkL3ngxpUbtaYwzST9zpZ O8v2P3pOh5g8z17RH2UaIDqiAnGB7yKYYfkVrR8Zd1OIFguxUo9v2oX+S04Q 0UpPMRcztID9DP0b6M2zBcDuBAEm6MlTmKCp8gYoN8wTrBeVYp7ABBL5kMol fbJiR50g9BILATVsOkvgoU8LFJx8FewGlo11VwNfF002ZjAu1NthPF9ZI8ZJ wJhw4eWHekb2Ttm1vs+JF8BLpUGTO/JRs0uXE5qzgWwfQwyxojmzQNxvRkdi VBrsMUSIlHeCM5ZyFeJLzun5JcjpHW/iG3M3WU70KlHJvNruQrtKjI6pSokU 0Vera0bDhtrcoID3tivezq6tIjOFlXdm0ivib/w38O8VNB2Eahd+r+kgkwRB uSKVIvYgRGkqrgS3sW3VxlsP6tdwFAPiq21YC6wgmVWwQrSRkh5+pHzjg5kk QTWfmSIro6hW/7E8CO5QOysYIR+/C2OjyNBnX8JI3nrBQVhLfkU/BU8ea87P ifUz7qaMkq9c65oXEO06nH3fdUQQ7Tebb3dcVzenmeD7MhzVloaK65HHuIcf PAs7+/MbBqWzEg1IKV2Hc5KhnkDJDWPFrcnKJBiyuX6xpi3YVWa+Xb1Z8UGM Y5AmVKZI1R0Hoo450us/O50h0oxJXe/kJOtgsWbjFe2YGIZ5eOVAlthf4cra qk/pUE63ESPR8lR2QfhZDlrXOzwKuAQuXMGSNWS4xubJqF0VuFq7cUOyBK5N chBbu+ljeGtBmIF+zu1aD55hxIuiS7AkKf5MNv5oGzRV6eS0PDO7Jtjghsk+ CWxZmFSLtG9Q3+44fVNVQfMPoHWPUYPoAv2Al4/O5Olr+qbEfNSdpwKalJNn 9TlLd5gTKj7tUw5/OuVFzHfcn286h6z15BbbXV4s/kh7SJHENQyiaT1ZEMlJ JivLyfPYqHs42jxZUDUDmudCgbchSKtZD9ouXI1rkm8sgbfrMFchZNYVNTX+ Vey1FAojd9cd6M8nt8NM2Z6jIj1qPl9kdB1R2o5rQbXpoKAaaceEltbHqLq8 tNuTlXXDdcTpyE0GCCl3a4ug6p/x1cw8ERNRMbPQmYkpHYSOsnkPm2/bv6s8 jpM1Vtt1SI+jPq+UQtN0JLF6RhLXL8bdbATXgxgtZ6Nk0Y4S66nOTI3H3/S4 kknNFI1yPJLsMSTjFY8BlisFY6p0+mD6MMBpB9p/nqETqquMm3rXEqHHwpgU 6vFN+tMl70TjBKJKMWbbcKEQualY0pDkdWaqmGrKMnI6FF6yn8nKIWwSR9SZ ab7t6FImkxKlqUda5W+IGcfdEUqyywAZ3MaZNn5gbG2x1rS2nDRBS93dE3ay qw4UdAxh5Lf1I4OR0q4k9BosD+RCFJmzgWuOAJJCoUAWgiFcrJONVPbJ2w69 wXVkIpLQ2qtJs8iKGpHCTdl0UNAsY46HjfJuSLTGRgXNSr4uZ6VSVfTqN+vW IZ2267zs4zZO7MUBlft3Tm/W3mM08QJ6bMqZjKBYzNoWqYEsXBtF0TSKZcRM olhGT735NuW6aeLFLCn07zwX1/cyE45uTXSM7zyNlmlSHLlg4WadVoUbRVV/ ge5DCivHOdsiI8lKgJL7BDj3WQNskvp+Rjf3M1sEtmAjsuV+c2wePSwKrFIJ K2fYKOhhleMNsnFByySBPbO9+K+IbC7j1vmanP9pD1MbsVhFsBJs17BlC7Bh VJBsBcP23qdNxwkeho2i1vfdNxTTFmXWDVfDzoS4aSyVpbzLBMuN8p8RqRNW R+Q1pbWW7baLtN8Zuzt/z7+nEs3qDMVYv4Yt5zqi5uemr40Uh45slL8gm+wq WwCvOPSHDB6Ccvhe2aZ5vktTZwRvuVHzHhXsuOKlbZNDfwx4u3qU7/dbfBdD bXhNiu2ucXdXVBdYfzhnijapnAZ/Ad+reJWbRUbK1XnUBx3CXWV8XR2LHrNL P3jWMVR6hl64R43y9+dH3Qf6Lo6iU9hT33EdxJF879D0NtnbqFY8n+3PrQG7 AwvYOZnOz8zOB31AZBXV5T3fBQ4JKVe7LYDVMHQspNqi1+lgL3W01S24nHAu tHllLpISl9MPJyO9DB1kmOo8OnScFrp6zLcrrriH3Tcc+20X5bo9He/gyHWH 6Z/DoNSmfcEOxFNu30nRTTyCr8i3DjaOzVu2p4p3gYC5oZ4/NIisDwSs0tES W9ym/PBmIuC4vVqpO8NVSs+HDJCHM5VNAyvKTUav9SNT1RsvyoGZheikCBXp 5CGNOt7P03Hu0fHOaXo7Wm68Rs6mXLbqPHg9ZKuiwwPzSY0MXudrGG/QZZfT ZWO4h+uaK64UTjredLWpuZNwX8W0+bxlexIMOfSBNZmP5nAdU57xx3ez+J3o HUqK9ZSjBAJuY/OsUZiGZn+w9QF8ehTcxqsEVNSVIA85JEYxppNfXWJz+bk+ U46cH/LBjYwJUq6qGYUigsBBQbEzz5BdvVlE3FCE+ABEb/KK68YcSpZU/iGU IOrAwxSE+9SBp+TxA84EUjw2adkVEJFmp4T7kA5Dg1rmL4ONgYJAATKxRePl /PiNhaZz6ZBzbG1J6HWlR+IyWzWGkomDdvNo+XfEg5BBrUHMUtdMrzPLB/LL Y5VtcxJCyU9oCZTeowzMXPvUWd9pFUu6h6GgJlCGbjDVgUCZKXVaAZ/yFt9e rY/lvtHfZtku7eky5r/j0VZ+DYiCjIUKS1iA2R8JlugDt9aMKbHq/6QOqIUS lnRQS2NPLAeRt505lYQisId/7zvsmb4B9UjAFyhQitxMq5okmRtKtqt7CHr4 m0zHve0CS/7UzonNAksyJZbnEcbylAK6mxPhQlGh3+g/IzL0qqNShmJmDtHi 1dHuNyONVqSrWp//CmoK/BKoQvfns2dlQZWwc+xm/+uQlcWeSogJVwL6zQ1B 6ynLdqEiMaTYv9tv7jdzoMHOU7vVb2bbUKA3vYAYwVgojJfHK65QPrgqNt7e r6ShJYC/NoWs90Acy9hQrMRdTStjMztLwYpJsFEXm4JNaCveKwE20IIi6zbP LyHLdBsdXQkEKJluHB1f/ebSM7QDkPImY/y8a2vYyWen6zBuOmWWjV7I1E/B gtZDpWfAs0Uh8vCyFZBF68cNuDxoZjzWFyOBeXT5/iuLly+UBH1c5Cj7TTl+ 0KmVkm9SyOtPnxpIsP45G3oOtT5+CRR6GoLRvYHLrpsYguLWe089l3vii5p8 I6vdIhNcJQcGc5T0b/V8YBoRxTtyob+Lb5iKeZvWbk89qvOrogG6WKChrw1i KrOytl9DOVCVsykYh6EYT1uKh1ACl/+mbEhc1PW/znhE6qccvhrBo2PIWKjj Ie3yJRwzYqbTUDFdNaPMR+rYaPVmy3ZKej6S3uokRAQJBqm+xDb+Zk4yWirW GQvZ51OYeYvOBqSMFa2Bqcqy0fo+Bf1Kwp7P3nIVjCgoeleULFDUhG7IAvsA iorO0bIzsiMRKJFebubJ4rAYW4ROvmDSCxYbwQRtVHXNCpOZlziuYkx4SvtK xcA6dWkT7gN1r1614eYGrgChXZ0cdDw0X2bLvM17FM2DtoDwV4LbBcoNMCZ8 lKA3jTQHbxgWpjjIybYUbcKckTu8qh1ZDFIlBTDFkXpecPZ9425K9GXjiHtP gBGdsHSo2vJLTMdN5ygwlpeMCl+NNDQc4sRPbGzj9J+AVYNBguux76RkVc1V Q+EazQX9r2OZwW2MEOSwEwxxSrtoX5MVjoqDwLsc1mDjpDz4pX0flKIpP+Ne FlTMMUrM6J+/MKtfGq2EDXN3XJXzCCd7xm+JzG+S7WzcTdGM2j+MTd8ibD6l LVzOgMKPX+XYzyNaKpWeejRSkwgejsDn+HOENmIBHnK3DUG9afbCrGU7oSKz 1M7WFvroeIR4WtUdBgOfKD1A5QkNZ9+RN0d3aeuh2OlOvq9AoGCIKrLwxXz2 KlhxAzIu3gUrs+8Sqs68ajTnUC4vWD2bekSbYj4BVgstYvwqTPi1di9glXAr zdWTPZvU+qJY2QKFk+ui3d9VM/RvnMp5ey17wGEQHaJOMHj+W2zHna7DjhIu nvCBswUartVdbRgEVxsfOAops8TitrbQk1ivTvYWQ7RlmWdGVsFLtHXQsK1v lDJp7BDTgenM0lolO0Ln5Wu0+ptLMMNx3e+7OGfmO39QP1CItTJgZLMvTpdo 45tkrbaA9ZT1FFukimkO/bk12/Nu3VWySNJsgf74y2o0NtjYdDDBXbOi3h0b vfMU0wgMRJpwbaI02tpNlomd3INnGGSq3ozbZ2M8csbCFZFL05ED1diFWeGn J1fXQlY9U+0aJsm03Q1WxgA3lwC4yDO/ZepMpJeBwymvuBJzKotDYZU+n7QC OsVIRrn0jpnv6Z+E5AzgsUGx7+TD80363wuBAkeuJGt0KK6bjjdZEQx05tn3 eXvjgWMeFdzKGBQJDTrs6N/Y9YX7OjOh75yzAW8nxR3XEe49VFfOXKNaDS+u FNDqlRec/qrvYmiYNcxQcrW+PzYfBWuEdpm6Ve64LnAJHyA3bDVrBfwyHm4/ o2LviS/4ih/9vc5lhmKY4CX+tjj0VxYdLPN58/l4sADxFlgYkfDrRVMIJIRN VZhNToiWNt5ZhstNvsuTcCHobaff4g02Nso1PEP1V11emcTfytcuvMFcR/iD f31lwIKNpZd5sFx5RN/k1JVIO9/lo5lFKVSAk/8AvJjivxPOLB0vZm61ak5e PKbVQDLBeGFHhm5E8QInS5nuet/y7Y3YLLJIrm0kqWQs2Mg3GtyvcCdctAm3 BI6Ssfn4G11wBjOfWNPbTW/XXctJVqTMdACdkpaFnR3XIfcLamMlDbqgp00R 2prwKdpku0spilj6dm75LWB8ijaxwp7KPDGfEjoSgw938jMvIcTrZ2el3MOs PxaVfMTBg9rq4U8rJwvvO6rgYauRJHPXlM973kXsHU+SxZWmQBbf0Ei8ncw3 ht+R7+ftBSMt7bx14T51F8wkLXK4NqzlcAUKIFCgWO/4ehQXB4wFxFxp0bIq 1DOOGBJC4a/1vxJ6KlCIB/N+rEOx41Hmop2ioMjHzIlWqaDAwBSgYBnYQIE7 3LSrqwyNEcnyfHnJokPb56nvGDrx2NUmZ34JVqDtI1vEMoZ1zYEsxAoAKwMl OazXUw7+NQ4VbmFMQogRd2MuIty3XDilsPLelCFiYVacOUg7QHxwMkKH6s1q oH76w5FYrPQBkJfUYSzGYeT+f5R/9HicnMDpmVcXnyrdsR5RjlXBxWTlSYbE hNwssOM9WjFQccWR63gT9e2FQcbb+iBjOlutTaVn6Pem7RbWNozvIi0SwO+E m6zVmx0ltgD7REy3l9baLaW10Ddik/UC+jWsNRgs4euEQWGotgXAvrkKpG6e gyXLwJBOZDBRCkPK9HYDwrHL229mi0DKemwxkM7V0579glYpIxWXOaKUNDhv EaR8EgXSBeY73uiIVQwGvXC0LNU2eklfCL5XMWDf6bGhTkf7Z0IfZqy72pkH BNNdbeYJDCKjdAceRDVtFovs74tDwVuceCw60TnyQ/Ptuqsq/E+nlKHEWGg6 brvrHnZ5WYNEyitV6CRaNvRXwPKA8ebge2LNMTU7dTbC3jt57B+EpIyR5RQ4 KCDJGIb7hnIAI3un39LGGVZw5ndtjcJ6UYc18HXuGj/yKd0zo8+FX6GGCnVM l+PQ5mGc5YYZKSCsmtEZd903mJE+Hku+DPKUW2sAoe5PMRqjSQzCMqdMiYMf gEp4df+gUyYIdnM30QUp+4u+Hh6It12we8d3z38lFjtXD1vE6au082almI3z 3xDUoRs5Pe2Jhc4dFugKyCz8UJkFj40dmkoCVqbFXjLUSAbnoGVP/+vcgYGK IVoFEmCWCktpT4cUgu2iJOYbTm6pu9r6EYbrJbmqrPNAQoAhtRZz8X4V5DgV jyKHjABSsNKY6Sw9Y32//3VGDim3b8fiXacajH2TvsmQdzNbVSEX6NPBvui7 F4udp3whsjugbWPsxkZ1uts1UV4vN7qotCLRo+IejoePufPCx3AdC0FeJctR hX51FIWD24CeNKwcl24ZJRz/71YGD8t1lKgATO63rLyH6KGW/gyE8hyWRNqn UMRrFHK5SpTddfC2Qfw6cpNfgwOIHl8GLwJ1Qx08dXu78IgeyyNKkp/o4K3G d73cjCI3rAYbve2dmdZTqMvE48dSD2QcN+tBTfZ9HqRn2FS0m7oG2FIFttaP sEvYf/jtlBn06Jih5UToO8DzbfftiLCcDw9bg0iHMYvYRnb47RpzAHHuVTEt uRcwu6RjhjI+8gx+MhODzAkhV1WVvIyFhH1FhmtFOJJ49BC9dtl/Ryl5lrwG FGBx0n122ZauwxAngkFLAeGU+0bHE287X8+Crv2cDp9iilgDfA2DuhWiXTJX v1k+Bt0LOn7bpmpHdsz1RvErMno/5jk1TBhOneWbFI6DS88oxxK75dCiCK5n hs932v/KnFngU/To0drQygTXDF/RpiUDhutlg12YLbzHWp38mgTClRBfSNHG AlkIkum04WymwruTTb/YZKXAAi9Er6cOIdzPGiDsjkI4Vz5y6eE9bRvnNQpC 8Dqofi9cP4TCS1FkVtluQTGQZbsIZRH+rbmKkUtQjlHqraIkLht3lOl/RhlH yDQu4Lga4TXjyAOG8wsDhoZs15EMMaHG3RSR8wuKjMbdcdKs/1E+L6owmGTc jQtI7rlNksbNhetGFMDow39tZfwoYsw58Zg3B2aC1XZS7LE8CsM7auqDkb0U HTIU458tMgI9k3x90T/OFYuIzgVPeYra0Q+j8LFFJHvE8DGP3wfaMX7NhVkp 9KzGfs3AXZiFU9BHChuu4VmlCSi4upXda32ftYnjTV+p2FXLRvo8Ua2QwI87 fKAd2W+mIHqcm8RZOkzfwaZzHUO2gGEdGp0d+/tfJ0w+uzKo1V9FUCW5Kkr6 u3RQkT4sgEqR9d7ZtwVU3ISCboJBjcwz6V+7gNoIM6ccELmZSd+lCPeIqfdD iVnmVnEvOX2NbxGVIq1hFaLs6CBhXXSQsN7arw8SpoedJz5Eboa03TwBXviE qFI8c+cpdLUpqepnj4zZI5wX3NlBjevFQBZ4ZIBXzgYQbIadHd1Q57bsYeKg X10NTwwxqiAFlyqhwzqgn2FpD6cACuI/SlVSZCFMcFhgEtMANQ/NmSsbh2cQ FaB92KWRfAUo16G3qKsQcJRdelQmgIKcB2tejmPbpMngYIv1/bqr7uGud8hr nVKDg0ZUZCjNfXLnKa7vug7HT7y9ppzLkdbuprfXR/3yOM9kvgSeBgaPyaeZ t3rc294waJ4ALSdY9KSBYG0AQgiA3InskjYhtdfTkb1TVxbQA0cSX36oWJtv pwU8vgDhF1EseWnOJiN8Uo5l2QWxDZXs08q/IG5c2KKX4+HGK4zhRnTHW09V TDcEUeUVOa6sjuuOEkdu3dWuMuW8Y7FjTi/4FTqfbBQhEUr/9sfsvSrrDojw DEswnMPMJrYwxtt7aAPmIC+nxb68Mn4VA5jQEdsPAQ8KAdUpi8XvKYYTEuCH WzGyAV9QGL2qtC7EsP5w5PTsE/FRoqvS8UQ+p36EYm6NVb7oJ2zbuUoDafQ+ nCClyimDgU7pWI0F5nX5O3ISHAXpJoDin+l49WYKt7BOTJ1sVEYwCU0c/IYo H1e+9+mc3zfmWDbCAEib7PL4gB3RHX5JbZZJv52v8VnWCcon4k7rfXv9r2jb knXggI/o1PVNf21kR+jGFxY8D7m1WwIQl3p0gJyOXGNOZ6Z80LDv4lS6TH4v w5T3dfwMeZHuL4Whiyf/mXjIoI9WSRsPPjDN245GAigCsIDCp1dbOeV/rImF XiU0cPLKPe9athf9gTAagpZsrz9dY0YsITIpUWJGWgGYsyLPYlbOzAH6yvfO mPSVS1lZPuiQr2Z6UESjZeXuYdpw7YlWHyjgiIqv74yF0I7UxplEogu60tEx ZL474WZjlFboYBQasmGZtfGX1rJ+k3qMqFS2MQDoX1sAoBIAiNdiAGCyX5Rd 7j9LQUIfv0b3ZnKa8hAkyOoxxGx931OvIg5mG8uLWT7Tt8UvH52QKZ5y+z6s U7GoUczeMNja0plH0RfXxmHx9aEkTFJomm6wx242XKPotApDOuJF1ohCAd+3 HY2iYK3x9qqatm+v72GknJcEuQsdBURek1Mz/ECT9VtjpU9FWeUHQp5OUSsk hfW4qxLMlHNH14QC2mm6yjq6L8zqasbm26ZzOcl2S2detLlAPwsKhvVsBfrc beBds2yvzugXgtxlUYAqXxQFfq73tMovyhevmDbm9OdzHYY7aN+R54riXxSE mesUDbUsgODIFbtKhgM82Rrnsqz9Z983/ln5lN4pB5gAY0Dw1NPi40H4ljxq lEFk6sB8my0daGN4ssiw+FIsQ9yOqw0HIScZbSgyVrPs2keZa5DNvehwl6g9 LUmq64g0jr3InKe8duGHFRk4DE2hvaSNF48JTajGSMUBpPVntUohpbFJEiJe ucef7rdIW9Ay9o/X5z2KMqoKeXdHQ96kN17knSvqRu0LdxdC8czxdhrIvMht Hq+76upRoq/LYoAMFA3ILK+r3cJgE3iEpKFLXBuY/5Rte5F2wWtqcO4gT2Lo BhGnp5yBQM9xFIhwllB8Jy24j/AxBmJ2lvAeXAREDc/IJ3O8Kp0J8bc7zMoU KDjxOGdDxYCan0vl/N0g7a24YExzD9vuotcn+37p5bGbIsQe/kFTNzQFTefE QKavBAoq6UXpwWOyuMYZEy6otmjRYImJB3VEMPa8BJFIr3/AN6llRRGxvh8o 0EPXHX57pD1p4cQoq0qW+DH6NmMh4QWz+ORwx3VyNPScDaknt7S2dB32tqNL LP6+lJ2kUvjgAq5lOx+Ob/K3d3psrraxm0rAhg5LQxB3y/adriMUzxvjMUHf ajpaCXibDiE1ZnMltixrasY3GWnH1xWxvkHVCsftv28ZFOXdAihzNt/k9AGt kUGRrn6ZMUlCFW6uXBJBkZTTY1FcuM7ZYiERws9KCjlLioxK6SbZFqiaQcvz KwngSHU/lTZmuEcuUiAnouQUrhYtd+3kiG3oU/8V3inOzrzSy6YqxJgUzd9K TYjKQmO0pjW9jfEH+cYUL92Dcg6jgpmYKGs0c9S8pZcPsJimg0qfOfSHrAHm FDMqYkSeejG8tSjuLkUmMgqZIvkcHZlvig/sN9v3Zd8H806TteN6Cu2xtI7r Tbvqmi17TOcKJykTj+9gZZS0cbRolp5Blye3b4K9piH44Fm5JrPBW2wXczZY T0GDQaRkhLkaCZa1puO67O+VkXrjRVNVa7esQL8vZ6TQfVR6RkeqLRapP3oO rMuCFHd+MJcAIyVJtntY7k6vMrnKEqTmytEOKp+jIwXi1nTK3HpQdejaOjaq iKRSZFmIzB/Mu9pKz2A6bVMcWt8WtMChEMhi9QB2wFWoRkheI00g+mRM4SQ5 YaR6THiN2QFMDnYqO7oEL272UHhBzPG9T4v2uTbOhIQgjLEqq0LI6yEHBqsO KM5VYAZ9GXFSzBkZusGvkcaQjicCmIersrGAqQ/iDrYtWp8hHjMUKPZgYFwp VXdch7DBb8YBxDmc6wg7aA7gHbl8iQT+8ySRcFH8zjITa5Z/73yNFgSHl3bi cXAbfpLAPqcAFrTHkzNRVpMOwr3QDekqVeLEEoGYWcSqMQEmlf4B/9m5dmYW RwylhmeSZp4Qwi8lgASNaju4US0eEkpWucub60Zgm9CEPiMekGTmQthoPr/O VMVBLUjJvO2BgvAxA9QEMLEQ9fLGwqoZ+jsKVuuDlSe3oFnIdK7pYKBAIIlD JOw07jafV6Ge3Jh/EOn9kqaKpjAmEpaMLkLEFogiwi0duZFnjAjGkGmFcgFX lhARmQrcGzF/KQaO+ECGqam8RzuGULZiM20stO888XhslKt6oNVeCOHQqMOc bOnhPlePfR8mUisGMG2xdAcEsqDpQ58kvjafr7MqvyQ7HMbT1ZNoveh88pS/ IOdFRGz466PqpgZRkmCKE603cpPittrIzZXWCyKQpK4yPsBiE87VXSU/gx47 Huc1LCa24CJ5sLFrq86XaCzk8/DtxaulUHB39v3Ar8kXwRZ98lgb/5KsiacE 8xZW+7y2LbraIqO3lwuwTHt0iLuLWRYXY/9iNujpPvlQ0RktWq5Z2JBil/tN /qWh0trSWsML9D+dlDzemzAMuIO1bJQM1nze247CBxfC0ahhWDz59utiUD31 Uo1csr3vPAW9HZkjzjgmmsls5YmoBsx/0y6DXrkuBslGdPlfSVO3vWT/jeRD vywWAv1mD55FLcSTt7RjscvXXXImIKPPXIKA+vMLhuXnoFHZ58ACXaTgIeID X2SsznDs7zpMB76Et90w/76qVlP0JENYqBrUxqOQ3DHk6kEZlmNnCpdwIZQn D8R83vGmQYVRUx/MjSrisUZsgDGh/dYa6SVXIje/LF4TRrLfLJvmqG/HxDUd gqEoBEjYr/r2hrZ+OX79dQcqpl09oEjDv+Oe3ZCCP4uA9BIsjohdZOYmORSU lwQr5U4TdTXbRWHosGzMoQB12SEQQoAih+y6A7I/1V0OQwD2iSgEMH0KAuai tgSEWH4un1nmK78si8Mn6OfmKGv5HVN3iJjxUBA4/fap2rnyJRA49jNpSqp+ IDSRZ1iy7LCTmfnVIegqQ70PI8zpGH13hzueNO0qra0YcIfDP1h2soHWjRGC k6/yuiEAM/VDzRldN2WAat1gOVxYN2VgjbxuUfLQxvPECDFnov7k2Wwq1lb0 ycmymR31+ch8gicfs+wnCZfNDYdjo3UHbBctGy17zOd551dceePFJmtnHj32 Yg3dVkruAu3+aAdajkEhGeAaDKrpBRclMybh4+x7mftnZemXmC+cl477aH3p iJ3vhQ7LCzrzTOdKLxv07BxuQdqbcXVF21f3CpAw7ltl5fad4b4lK+cBBEqw ytHjQMuT1PQ4xs1NxymgqRTxyUr08SxqN1z2wbd2I8Bz9fDip2p9p0My9J7k qRdhWPx5erPfEgrL4lGjQ2oj9WWu3s21bxUPh3xY2clGuIkIt9+ioa7GUy/X dLiln+kWq7LMbk/ueJJ9v7U7yClc7OoRuXKjnXlCQj7TcaY2ZEktVw9Xq6Xf 9DW2Esue8pMmWAqPTQ7gtocPRy7N9W4Vx4VV6+1tzdFl8502ucHnlUVHubqS X9H/OuTJRO4xXXNiV889Q8OdlLzkFZSPn4ZE7pJld+bxHR3X56FTZapiZ/7F uJW/wTt+XghP0aLF+lh1zWPzY6Nh5++JlUNj6JrIftT6Hzzj9VMyibvsRl7N 2Kiw8ujrhzzJOvmi6MGQUtdsN9myXJ6SSQ5k5SQbskXSAcsvnqCnrmnej1Hx oehSAGsfKZ5yRJ5h+bEVyUp5cPad9ItcYCeTeblhkL5yNm5qltAfNYrb7Co7 aX3ji/RbqsXHdpHSo90XZsNOlhALZNm/q+8EQ7bHttL2FySUCw8d9l2aqpV1 BbehU2FsVAowWyghvC5ANASNheS+1PUKJmpmn6hXQBR0bF5H4h4F//WERLvU vgSJR5nSe5UICYD/PsbSEReuDzY27YKk5NgofLtlO4a349uy/0wORMeQcbcc CPN5EEJxu7ZOXCahfg4dWeeyjHs6DPMSyJnIBHarx1vAJ6VeSi7g2FMw1F3F YJiCYZvfgcqcwFBJ5zDbUyEw9E1s9tfOva6KOhYyaQvA1cwMbV2AwbG/4zrD 8CnIIeckO/a72vrzXT3wJvbvcnNdQd0BFKebdgUr4ytSuP1K8raX1uqTWOoG P0liInfY2xvIIgRs8umecpC8q6QAwjKrQyPn2InxlzkzrzTcJ6aT83nGhln4 KgYImdd4mXPlzMHj/PfyqQDGHQYwRq1vukSAAdeffae8ewGoTubqt8ZYCdSn 07037fvABG89lcNc+9535bI9WAlbCAmCJZMzf64pFt8ma8WVIqPdQoCkiLew 3cXfHSWBrN/SpP56rcho2YjwiPfQ7ZMm2q7LMeVEj8zz4sZZcIffKQnEJAjU sEB4OfDaIY/OIY/JPSygf/HPiIKmZTskfw06GvsFDRBln3isx1KTYDCJRQNl uTQImtgC5vP2fWAj1ocCuspsd09uiYfhhDyoQMHYvKtsvfgMbivgEb/3Ph1t 5UjGrR50IzatZjTZBIaGKVNLl5Vg2Wo4wfjLp8jsNNxgsxbWc2q345r3kFo3 NzlFd4HvUqiNNs20cXfHrLx1nu/SxFX5gmrZVXLOQfJKp29ctbX0mxNMTJ3S OADgO2EOCTGkEcgKZHG4EdzGunhrIRhe9JyTQDMzs0XWiwllFd8ZI2amNGrE xI9leyBL1ivEF+X82yf/lGksZL3gxt0RoieKSWr3ML81Wl1m/nTRev+Ea/Tx Szut8a1d9WbLRmioSp9Y9n3c4dkt5PLHvyi48H2F4hK0W9awxHmxSeDYKA4N 87fG9Aq9j6xRUarj4t5aExQi5Eiv/4rvtFag1sjVHbXG2RZ0sYePgXjIU75g 73aEwrGL5LEKzLa5hz3luC0QPiJb9L41yXuUdQvjuxr+Urygt73ztS5MLGFb p2Tf95R7e8lJiNg0JO7CtDFT5Ul3XF/Lk87Q9Jrvpcg8FsZ0z9n3RUfMqCLa z+LWHFqpjAMdBKP/ijYuO+NtCEzoOHB2+70HoyikqTfXttGb74j0xuLAvLEn tzRZT27hSn4S/kT/XYc/K3YNfg5j88hzS2sduaWXISOzTreqGJ9Ik5Novk3R UzxgZzWOj8BnzmciFZUnANFV5j2qBtagmqKmxK013CSyLFzo14EhyJD1++5B CTJfHLiUjLhNAmoGlC71og2RIqfn5KnN/gJNXxS0MmAIpqEYgN//JZhAS/9X mOC6TedUPQywRmiNcXg9h6+piCLwWS9wM3qgM2/spre94ZplIxqE0ApUMdDa zRcuEL9QDcGxyDSJ2+QGLIUMCqqW7YX3XF72AKo7SzS4t6+o60AuGw0FwW/o SwXl8EGtj5dKRljKh4JN5XSG3zJXj4YXOjhiNWSu7whcNJctdGC4xPqh+zBu S1RjS9Jcvt/ieyhjyLH7iJ8pZaj0Pz7D+C/+p676+Hq1Pz8nGRMHOhVTLWaX paG1ku8301ZATNnecCN9kxPig/vNiM4cuQY8lhTbXdeRC7N3ntJreUTe0cVN jAygUlkUFrdK5vVdbow+yZHL+VcGY3lsFjpt6PoidNah6q9SnHX8dRunB9Fo CZfaMaTQBO3Cjkg5BzysblwjHMWpkXrfjonm1hdRJhXbjkvSYCIsPeXqI5I8 5SY4IR5Kbm2xniJbqM817LJdVNdIYPuARiAiCZhPNTyyBL6xeRa0Oa0/aHFV /LKGa9GiJQ/SvfFi9n0l7e4BY2WqfEnbXXLhy0JX9AfZ9yk0E4uTRSfo4dxR ltTCzZDyRWl8r178qEyCMgENDVz+D7QsBg2X1gTaNgFt1F87NXD2TQi6yvse k46WJagZCxdQ6883n9dRw6iWIrSH3E6OYjNYH3aab1s2dpW5b7jaTMdNVRdm x74fj5oanW0IQo6OLPwpdh19CHnIkZ6znsLOS7UFPDb3DU85bmyV1rqnHLmU XNH+BfjC5K2QzJlPsKpXIkIweA1zzqvH6yc3nXe8qSJZOoMlWhZg5GYc+05p PUkTys37hygLzvGUS9M32X6Uvge1Rgm4WQ52u/djhhJXun77rlPGnNZuMXLz 08+DkHIJlPadXe/oUEI3QIfSegpEzAKle9h8nr6PEse2nnKrfH2Z48vLF50V dA2xL6Wv13W4q8zV8yJwEt06A9Qf9EmHFxlu54NnXWWtLYjAjRJcQEuJ3zEV wj/4BNtdT/lyiOZX+Yp9xflVTbvEcWyV61hGtO9lVixvFET5amz0WvZtYw7F VYJoX1RVgBHV40tBlC+w84sQfct7P/U9JKdcGY9oWtMuyL8jlSo9o+xuosEH 7vYKO6s3o0MPwRqwlOLtdXDTLOo8F5qIY4X3DIrOD9Pd9G/flS0Iyj/j7gwJ vS0bm6yGdRBXrDuATgrUL/SG4j5vL8QJKeNrBruP+bb049ju3nmqSQSQJE1+ +rwdmoUTztsB7W+fF7Q78/QQvNl3OpQJeVIW5bXdlUw9FTt1KCP7vCE7fEyk Ro75Z3yToae/LeBk31e8sKlMC1387ePY58rFzczyDGjfEuOZBp45aLNQZrX9 wbxBsXUv7FuFNJxzWn8+bCUULXnPLjcnwUArQW/FoeiFTcS5SA1kuW8AhobB nGRYg1/hzMYAE2bfVzhpu1sx0JkXKGj9v2BB7njy3qdLLyPow5iFMYefTtUM U/eniuGq3qz3wudsYGK8xEAbs//stm+Hb0d+VX++iv19p/2OufLf1qK3YaKf mEIuO/3j2mxMb6oI2nd6IjfyjHHGJKO6rE5llqEdf0a7f2xUcGY+bnZ/sTjj 5i/FPVwxYDtdMdCfL4EBmdm7EGdlM5uJcEAwRnkMPd+rYKzmWjBkoIi4L7d2 95sNb2pc2hibh8MDOz8a5c5ba8hiF5mq2COrigNf2XQd5itatkroAqEchd+N NckS88PQOxr+8rav+Ecpmwq9Rxkhvk3Ijc5jc/pn5KnyaEDDe8JuQQuy2Doo 4/38XnZRxYCgDF2XJ4Oak1Gua2aRbUF5HB00l/7JlBMUESJ4Sv8rc+35MRB/ Q/9k+u+n5ATyx3JjExQdCHZ94iIIg4ofpKJlrDMPcaxSII4zwGy90ODUwk/m B60H7fuMhYWT2IoGVNyTMHusCWdMMveiGuqal7j7A+IFAwXeXrIilUL8ITuS UZRMDS0bmNizyInFQI5lI30h/iL9+SBT69rK1qX6q3w9ITDOT+T6ircU1f1v ObpkYC+FMpkoIlkCesnX0GBy+kcp5irxZKI0kRUPYbInv67Z1aM6e0HJCJUN tjae8uz7Jx6rZAaN8AhG0+UBdQyRuStcFcVW/DBc+eAZRQTvSHfDOpTB1IY0 y25F4p+TXDHtbX9+RVRhvYxkKLqhtFA1U9cMgpo02Z+CbD59IbGULE8+l8/9 UFBxQW1FT1iF0796s97EhropHSoZpgAlRfG3jlMsJm/k9BX77XPlDC8a+Epr paAOEijLTz9fuo/h1a1tPLxpwcaTW6w1cCmBgrDoVZAXDRT0m09uyUkGvPw5 6ZQmeWx3O6572z31oBFz90haBncIj7NMwBBF+q/kjV1t9n2WGuQN5KR+1cB0 mPib6wZ9+AsroosmDQr5UMDCdCDKc9b+rjLhzIgiXLUv3MfAoPQw5dC+zqO6 3nbMzvSbk2Qng8He+v7YTbHYMi+o4HXCUf0XyDOu19QNNEalGV7EYriyZXgj 9VNnR4obrrLpnC7x3QuVCeeOoFvXTOlEJSN3rGMIrgw6zB1D7mHKqRAgG93D na/VHSBfcopwbQk7M3j3ZDVZq2aKNlVvrvoAUgf88PrNyN8kB1kW4HfZlW2D nmlwG5rN2Wpa9rAze4Fp03lew1RVWutqUyN3K4KdPDbv2E9BszNKvPtHzwkR skL7xykNGQpthAJTV7RxHrRs2oU6v5A0pGCeF3Nb+g0VD7ceEHYPNIxRbPbX /0SL4fCU0ti9My9xEZ48IKh8JOulbB7t6Sfe1B3lJdymxsDNNwHfkD3m/bhp F6gczecpQaH9ZUizbETUmrPhpIn8tOwzlI/m3WE0+GjjUkIev/MUgdWKKL/H H3HL297a3driKe+4TpmmBBTnizapu7U09HXjpsnVw+S6n1oVae6iVmNgGPNt tuwR7pWoY/v+Y21cEDqI2Fefq0TRvquMn0/HE2NhxbSSRuHBwFwxfsnoGf4b Mirpyl48xE2lgrhiGuxnMsvJofD3NjPEj8q4cOeMh/hbAnGw0VMOgULHm5Y9 vP7Ur6Q59ndm3gkHC5ZyBC1C8AcitPUZ1FiCWa62C7OUdhVwtmUwVVVc6Rhq 2lX6M9gx3M8FCihP+MyKAB5SoB1AEVVAy0Fk9eOUHx5UoE3ZR/aGjogU+Z1h 8PWJzCcFdxdBHop3UPQSIkYEWqm/SVEmoNd3yfcw8owvyEQJWw2/Hpu+NrLj +xns5SZKfJdmfiHy08u0Hy2CQZEJBxsR1SiyNw5wkhClOHUVqEbxCfQvyAmS 4KzDtyTH1wFJW3gnkUbh12maklJq5LhjHP+lH6bqiuTxfisJ/M5cI+eDb9+H 8VCuRnrb0W79rfM47+5M6cxGc7HFVxPhITQjM6Ts7ngCHmNUh4Sm89+CwStQ wHjOXPcVd6cLnuCFgan4HTYVbxOeJjWKISTD3QPi2AooOH44Z1szosBhvfdo 3QFw8zXtQiHS2wsZdqaZgApidQbmKUprMTMIUO07L+MNSs/YAkXG1m68W7q3 t85jrbHdbRiErp6jxLhbarKmc47nw30dT2wXq7+KyjPi1nSwaVr22O6CpGmJ q6IgZLZoE7mqo9CDtF2Eq+LyCWwTctqR4p9+/h9vKFCGyKRZtEbU4VPReg36 D8DHaFMWxDQ9+t4s7h0wqNPMc5tlv4u/6HMf8ltW+q2z8uahHm7yb1wVSm28 7kDdAREEeS6QBRS8vf1mwAkwmUhqEZoNg6Bo5XSQ0LzOAUFWxYCjxNvuPWpY V53BHRX7FYjPmc87ngd5dN1VVOqDjRUD9n2Q1KTPT0FH6ZJgCuoMDcGGwSJj xfSF2fAxvrAS/LZUrft5sSFprpyj6qiElm/HzKxVdhYILFyik8eMlhapojCA AyUC4BzPHUbmGUBMD9U1h4/Jlt3lq/nbneKWkENNDxp+ewX8uO8LvCxj0tyU 6il3h3XQ+B90zOyWIiPHHfZ9YF0z4CYpyX2D1evZY3p7QUMf3XopQA0SYhRQ 8M8Rv5TWQjRvaYcyJ9CdeYWTnvqxedyNKNXFNHqO+QRa0U9SwSUqiwdTDu0L 5xY2FJUVAzkbjDmgJ+GfBittd8EptoBZs3oZX0Vq44wZbANSDv6tf7COFP8s Xd+a/lrf3lDPqqChe0qPdOXAGhbhVbSptDY1ur+SQCpBWSr/Onp1lKFLoQOa q1BStDsnt5SekfBhCURJ7rC1xlMuJWKDYVPRjzfSLjAroa9G3KuFMreIr0MD H4X0b9KDfEeWBja6WGR2EDLyyj6+kRtiRnM1rCoG8B9MPy/+6Iq8PDLvf2Vk r8reV0IGmlSapiMTPX0xO2kRMhgAoI0uyOw3VenImG9H94/M/VWij9MdTkqI DPpPKXxQyGQX/vf7zJPG65Obu8gokDFidBvEFYECFjrpVWoukE3uzIxa/aHN 6qUcwEVGFTTGQrtlbFRNEAw9Hin+aED2Vhtrb/Stig3CHUWMkYpxADb2tyUW Wm7ruNpy8FTUr+A1vIHG9f2jowQE01H1oODqMKoFS5O8LLsFN+gowsFtcpKH yu9/+zuh4VIa0L5L081i1FkCGPVWBD/J4Glr2hV2Kt8tA8qM2f2WkeKPa9me SS34of+s5hSOfJ1gQ+3vgeaR4olcfcvm4saoYBXYXkJtjXxjAe4R0Ork7QWt I0y4YIYIABQtSgA6Kc5OZUKwGj0OGCxpbYGSM2G09cEzBBzm8xhntGxvPSRz IpjPH5TZv5iueOCXEnzPvg+TKvZ9Bno4UeWnFIHRmPOn55mid1yq904MeM0O UeTOSIKiCPUoPVTZiSlpAeyWzHgp7rfkXxz66ed9pzWZ4WYBktNcB9bR/G7O Bk+5Up+4/TVCs4TRDD0lpzCpFayEprqI8rb3vWxYRxEh2X5PubJLJtdh+766 ZigtooUKGNt31jUj6wHGriPrKB0x1h3AfQ36rukkE8Tva9x4GqBYuOtw08HW QyBAQLhG//6yq616c0OwenN1BsIIyLjDy+Ku0ny+YqBh0HS8cBI/ARerEhFN C1ZivyUI9dD/0JnJlxF6VzB9CGeHrx8fAanomBADH/VN+i1z+dxSFyiwnpLb Ud0LdeZRJF2r6vj09wuzTE/q1H/+P1/6yUbwCouYLhfNTmOGQQzCXO/0tVCP YmjWsugvR7Q+xbjIw51tMpk62jtDD6ZLfs3JCeKubSs8GHx4RtjZVQYb7XiT ApqrDYPgHaLzOo+3NONyzNUGwkXghYolhbj58KfucH++p96yx/p+VxkuNJt2 ndzibacd2qlxtw8UnOw7Hbk8LZBs31da23VYMtlsMHy6b3SVeXsRXdMj3Iru BDzhrrJ+M/jAqzMQ9ISdJ7cgGcaDQkVx0dl4Qz2FV0/8vNh/RfZtMm1+7hNR 0+wYaKKd5FS2fBu6sVoPLWR9JXre3Xj2wI9SoHCk8C8gr50ewsCp2uQy3pWm njR/Bpejws4T/0fREQp5Sfm5nSPF/hmRjmpH127kaPwjyFx4BEg3LsyabxdO dn4GrIEYxPKUQ3PdvtPbi2x4PTwX9h12Im5r8SNgnNF00HzeFnAPU973HrI/ HhWdOGniCmpMEJQht6c4dKhTxdkYHcffq/rpRjSRqfmDEVTKzGJDelDSk8vX ZPcwyqfe9lRZLW4fhFs5BaN+f31/BDwTCyNLSrkRCMJICYJzR2Vg5RV5Skyg FFT5VEpr97dO/HwjdArUs+hDARnCmoZ4HJ+LxRE+A5rfeu0Ew5pI658XD1Z3 Fc0pZHqdSuGgYpqM6QU5NijSjd0Urq+buA/ve5lHpRy5oBIJN+pauzgq0EVq GBTG3/jiugLyJ58f0dnGZoZEeFmUeRX3Gq8TNDd/XowOX4FrOujbS9H4uA7X 0g2HUsFzwN++Dy4ETpceGn3W3FHVC15PtvhS6K9+Z4UjnyErRoiveq4wd9Mw aED7NkdRamyGEn4e40g0dc7r3FT4P1LQyCT5fYH/rO/io0wht3TiwzvzOHjA 7NzRfSOXfDVqhHyuni2lyJ7yvrDG7QteqLcXRSIYBbSZmXN+XINoUS+bT02T fXysVRpWX+s8OGk97/5M4/jZkE0u+9eXW5Mx++0aUGiosGfOhsGw6YzIKNaV Aa5a426gImwF3wt+nO6rmTPz84SKpA+cmU7Dwsp2LTzC6Moygo2I+yDcNTZa OJmz4XYJJfkzUtlIibxLsd9e/6NIr+F3V1ia0gvCqHLp5UCB4afyWIXaLNHy +PbpTC23EyKsSg0NT52lD3LMkY3fTr/0EkvW7gPcpWfME+4eBBLTX9OOkb9p ppedjfSqq54lC1N781N0lA+ZjlfNYOjcdLz08j+2+S4hNtCcoa3QUphyRMp/ b4VFcUEdEqoguzFP8Kz+XY3zrc48kEAUbQpsW25x6783OP38SHGoLJRJYTEG vgq0cUxomBB8I3T1tht3F20auxnp9RVTsPkhnq1/vahIq0vWiQzaUhweYWG+ S/5XpuyGdX67IXkid2YoNCwCWCa04hgLoX9ISfBb4W30gRdDw6E20Fr6r0TK C1dYJF96j422dhcZMSBmOt71TrjvjsYhoKe8aRf46NCX/mB+BQp+DML4TkML hTZcJcZwMh48w6S8t919Qxybpj3Ko1/asc63F3R8HLmsl8Pjd/hf8T2cmTVE zYvfPj2YNGMypEzN+E4TKjsf/T239acHK7Gl7jxVTAHaRBCTWdA0nkWaUBSz UHXabBcbrpHD0RKEgBiGLK3lCSlMT1oQEGDlSXi+OcnyA8rgSygSXJE6GLz4 Dyk+tdLTQrhtDB4rPYu2BFxbIynnoxQKT52dfjxXrmgjKD2dOeS3h4an3/Kn awVK5EMdTLnQKAjl0fvemzNz0896bRzU2xTY0FlHEyu41Nf5ig1JAJ1+gZN6 zPqRN7mC6zC0K4m6gkCLpvyGIJkNbWnclY4Qyr7TWGieKJxsbfG209dU28DV ZrtrqspJrpoBlcFy4xVC/NIYGp49pDntssATQTB0QXSKnCp4g4wR6Cd/qDnJ G0/SmXAujEvRqWUIQmVitljHsjOT4m8Ly7V2c0ATCtNB+TBSz1s6Vh9MzTuv us5Uj8120TxRegbCQPfwDxhlyb5/0oSi4XL98Cm6hAmZU0zXpQq3PjpChbs0 nVnEHnJJy4mTrHMD6qZWinR9PEc5rxRPTecgLQZisx1rXc6iGEO4z7khBO4k 2VGCMYGwc7lmbl3u9WviTmA2Si87NoeZhBAmZ4i93y2JHaH6TdbjWXLsxuS7 faYHHhVNYfTL2HeiWyJYueZVrF+0CiZQcx0ZwKvRFUbbdrkuVH0Fr/InZYG0 WikqjPodFKQVqFvCmUPgDtFzST1iUZIUIzumPhBl1WQeKgsHttGp5dYneEL6 P/6zYiyNfvkTjxM+AiEmVVUwCupPvtqZFzz2E3zBigEuPHHF0FMPYpFlCfD1 hQk7IQQo9878Qp8pg1uUXFd/DCnRZTI1ActVLzJ8Kx2BFDBCFG3iLmv2veG+ sVFwvjRRvIcvnuIehj1EPsS/kIKWOjgtylJWW0C1fLPQDfLRVzSZ8UK1EoOS Miwuw5Fz7UlaFjoMf/l0+kPIEEZG/3OiReioL1mEdss9DOpciOzRM0ipa7a+ D1Xg8DHD3+IpIckFd2ldM1nMV9EgQ6nh1mWZymO/P3LaA77ToZ40DiOypj7w W8jZUuLHbnhyamDqg6lHUzNTZ/32qZnpD+e+f3it+Kvag8eGgqCjBDVRVw/9 vF/j/oO+lzsz6w44Slq7aVcWLCdbuvi7VobaKP/mk0kmN1If2hpp5z4Zyu5D W1GXm8uPzGt9R9b6HZ+t8rGhmDfiGKmrrDMPI9nytAyf5P2Yawx2DbMOJx7j CuGTfUHEGKljo9A2x4zNJ3sziSluopVMGz+oqavoO0+9R3EVLZMM9aw4kyQm NlCAbgd0+6V8go/FwJsRZT8ytfuqN1cMdGbGzQGomx3IijtyqzMcJSgMxt+G /3M+8r9q0l9/FTdkaBwB5UBMf30Lywtg9hwXQmM37wwXToKseknr8z/3Q6VP vSXap863mcy7kBQo4LtRESs/WJ2h04F3DEWFuz7JJ8d3eFvR4Z0mvFkal/HR h/zJP2ZRS3Qmt0RzUktJyjkKkz7x+8f2W8b2CaPVVGmdGZEaWbb3vQxphq7D Hdf5DVtbXEfILGE8Iwl/ch3huWf+M8xVoj8v9zv072v5nU/y/v/63f7lvhv/ GXOea910y7RT4yY64Chxh6GUg141nGDbRYMW1Sjjt/v2Wj4itv89tmM7WAl1 5JOmok2llzHkGNvkqqk+V0zwrPVzEvTSsm8NO3FxBEoibrdj0zM27+2lM6p5 e8k8QDxJpvUVL9cv8TFKnqtBLIxlu8e2uHdU3SNVTKNpkH7zO6u9S7KnHGVV vXly3r4TV5VSZB+H9g6aSGPexrEfujqGdRUDYALmPydH/zywhn9fy+98stf+ 63f7//zdKG+EK00XD98xRLu43VFCHr6HIzDm/S7aRIENhsp6o1UE+h+iHvx3 XpOWRxMK147ciisUk0jzgeuI+bztri3Al5FQcl38wmda3AAo86oGK3GtQ//f 42qjE0K/V6d+X/7v9L/U3wz/5v8BmmPrhg==\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417838876529591*^9, 3.417838883254503*^9}}], Cell["\<\ What does the right plot mean? It shows the maximum and minimum values of the \ oscillatory profile in Rp: \ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417799724771567*^9, 3.417799771842202*^9}, { 3.417838858133312*^9, 3.417838883254667*^9}}], Cell["the system shows oscillations for some range of signal, S", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417799993218086*^9, 3.417800014037437*^9}, { 3.417838858133994*^9, 3.417838883255364*^9}}], Cell["\<\ for S within the oscillatory range, the circles show the maximum and minimum \ values attained by Rp\ \>", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.41780002322335*^9, 3.417800087279349*^9}, { 3.417838858134262*^9, 3.417838883255616*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"PlotRpNegFeedbackOscill", "[", RowBox[{"SRule_", ",", "tEnd_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"HomeostasisTimeCourse", "=", RowBox[{ RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"Join", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"NegFeedbackOscillReact", "//", "interpret"}], "//", "First"}], ")"}], "/.", "ParamVarRules"}], "/.", "SRule"}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"R", "[", "0", "]"}], "\[Equal]", "1"}], ",", " ", RowBox[{ RowBox[{"RP", "[", "0", "]"}], "\[Equal]", "0"}], ",", " ", RowBox[{ RowBox[{"Y", "[", "0", "]"}], "\[Equal]", "1"}], ",", " ", RowBox[{ RowBox[{"YP", "[", "0", "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{"X", "[", "0", "]"}], "\[Equal]", "0.5"}]}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "[", "t", "]"}], ",", RowBox[{"RP", "[", "t", "]"}], ",", " ", RowBox[{"Y", "[", "t", "]"}], ",", " ", RowBox[{"YP", "[", "t", "]"}], ",", " ", RowBox[{"X", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", RowBox[{"MaxSteps", "\[Rule]", " ", RowBox[{"10", "^", "5"}]}]}], "]"}], "//", "Flatten"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"MapThread", "[", RowBox[{ RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"#", "/.", " ", "HomeostasisTimeCourse"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", RowBox[{"tEnd", "*", RowBox[{"9", "/", "10"}]}], ",", "tEnd"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"tEnd", "*", RowBox[{"9", "/", "10"}]}], ",", "tEnd"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", "#3"}], ",", RowBox[{"Filling", "\[Rule]", " ", "#2"}], ",", RowBox[{"FillingStyle", "\[Rule]", " ", "Automatic"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"350", ",", "300"}], "}"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", " ", "Bold", ",", " ", "Large", ",", " ", "Brown"}], "]"}], ")"}]}], ",", " ", RowBox[{"PlotLabel", "\[Rule]", " ", RowBox[{"Style", "[", RowBox[{ RowBox[{"ToString", "[", "SRule", "]"}], ",", "Bold", ",", "Large", ",", "Blue"}], "]"}]}]}], "]"}], " ", "&"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"RP", "[", "t", "]"}], "}"}], ",", " ", RowBox[{"{", "Axis", "}"}], ",", " ", RowBox[{"{", RowBox[{"{", RowBox[{"Thick", ",", "Green"}], "}"}], "}"}]}], "}"}]}], "]"}], "]"}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}], "\n"}], "\[IndentingNewLine]", RowBox[{"GraphicsArray", "[", RowBox[{ RowBox[{ RowBox[{"PlotRpNegFeedbackOscill", "[", RowBox[{"#", ",", "2000"}], "]"}], "&"}], "/@", RowBox[{"{", RowBox[{ RowBox[{"S", "\[Rule]", " ", "0.5"}], ",", " ", RowBox[{"S", "\[Rule]", " ", "2"}], ",", RowBox[{"S", "\[Rule]", " ", "5"}], ",", " ", RowBox[{"S", "\[Rule]", " ", "8"}]}], "}"}]}], "]"}]}], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417799394279737*^9, 3.417799396566479*^9}, { 3.417799435631772*^9, 3.417799482313653*^9}, {3.41779951700774*^9, 3.417799556817571*^9}, {3.41779959619528*^9, 3.417799629077882*^9}, { 3.417799665515617*^9, 3.417799699018945*^9}, {3.417799781381797*^9, 3.417799938477026*^9}, {3.417838858134445*^9, 3.417838883255813*^9}}], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJwUm3c8VY8bx1VIkpSZlJaQktFUeZ6QleyMSEayJSsS2SIre5xzbtl73ouQ SmWUtI3Iqi/RUJEK1e/8/vK6r3vPOe65n8/zvN/Xy2bb84b2S9nY2Hy52Nj+ /3Nqcs0Stk0EaoUcyZ5ZVwVDyyRnancTmFDRcube/uOw3nUtVyMSaPDH5Y4C ZxJsvBasx9An8FR74d8lMUy4/WH/gz3WBNbbKplyduZCfspDC7ELBAYkoRN7 nQ0Y/nwt8S6YQOHKUv8zUhRoFjWvXbxOYKbwbNmBVyx4k/5p58McArkUOcRV PtiBgjLD362GQJ3xr9+vmvnASwWpSYf7BH44+8EmtLoMlIYUrx19SWDUrNw/ oyW1cKTj6qnHYwRe7MTSaW0VuMrG1CmcIZD3nYSAT1kUZE7bXLBdRqJ45P3O tl01MLNzvOG8AIk1Mhq+h9uLYLKodtcuCRLfB5osjzp5CvIHlr3u3EOiRcjS E9+/pUOJ5Q5GwzESm+o0Un93scAn5WV25EkS95yZHLY0SICrokZNBedIHGBb vyGU5QH7h9dzXbxIYvSrgc+rlhZD2SmHqO1RJIa3l8pFBjPBeVu0tFQGia8H 03R01qjAl7xdf7mKSLyy+tS6Itsw4D27ni2rnsSGiWXhyU1V4HtheFtgB4ms SCfy94dyyNu7/TL0kVj84PhLnNeD9Zqqc0aT9PuR+h60Pz4FZDOLSZF5EjP/ JM1IebNg+c2ki80rKAxYuPKg+l4mSP808K4RpVDpY8w3zh1OsIY9JTdqB4XP 9pC7l2/IhVQ9cbZVShSGjQ5WLHnAApvJ4CvvtSn0a+IdjmywhJmD9vLZpyjs erjverv4RejuE+fMc6Gw0v5my92Jcjgve3pVbACFxADbYUu7GihrfXd02zUK TxV+eCqSpAoK+ZjJS1B44wnJ2+YSA4HKm7b2lVLYvZn3PTVaA2u29zydaaaw fquGVefHfDiq87r4zhMKuacWYe+aM7Bf2rTO+S2Fy4Ijl9ZJZIOvceV/Dl8o /Fp15XHiexYE7IvRUPtL4aR32BOB2lAQM63oebaKgQKnvv75Ie8OHG1FVys3 MvBTy+dZ7+5CYH6UcHOTZeANsQ1j0M2EsjP+3oHAwEPeXAkTG1RASOjL33/0 48C8Ut5caRV47ys23y9J4Jz87fqZVWGwWE/82XeAwO7FZyP/zl4AIqCztEyT wEaJY/UPq4vgy8HBFc5mBB6MM8lIiGdCdcvfhCJHAvvVBR/sFlKFxYdP7v7z I9Br/nmX2J5QeKKnRZyPJjBJWnf5TbVqWHPjFcM6i8DBtKVSW6TLgPPjMaPM EgJ9m3tXskUbQWiDXfVUI4EnPS7+TTVIhUgu2UbjxwRSg/8tv+LEgsNGQ56c AwR6jEepTUhkge1ZyujgRwKPc3X+uE7aA98v7uHwBQJTJbcojpvkgDrvNsHJ lSTm9wfu677Bgi9TOl7dYiSmfuFLjgozBI1Wi5CFnSS+MeS8GlwRAFJiwkpH j9D5ftX3hj+2AhJ/BZGMEyQeHOcffxlcDUGmyaVCViSOXmxyS3iuBSOX60d5 z5M4/24htWPbdfhO3GvXvUKiPu+71/r0/bkGfmaFCSRyvH9UktpxA8rODiSL 3CBRad45elm/LQSFb7vyvJLE5W79WQ2HGdDqHJi08i6JDwcE7Y+/Y0Hcy1B9 q2ckrl1hZjXwxBdGWvbc6hwhMYOxVf+psjfkecxp1X0j8d7j5Y8t+0tBdAMV M7WEwms3PNV20fNEROe7z/61FCZp5rPvn1MF8s/3leQWChVqVk0MvrkKL4v7 DbQVKLS7Hunj7VIDAWLP7vipUDiV8XMfz5cSKFnj1XfHkMJf+k8a0lROgnV0 a7a4HYUeUZnpq9+mARXWsiLDi857qEUUXzYL4v1uSJqFURj9NM1NvSQVphWT 3DKTKfzPy90tzMUR+i7IWc3kUhh8bGfZ3GQuaCgE/LZnUhjRoqgUfJIF0rde N5s/pPBIoiJRLKABzUpCcqmvKdRY8WbWSSAYepSX6U7+RyFzQUiczawK/B4S QiZzFK6evV8qKlMFXepiCdycDDRbSFt5e0EbEuNLd6MQA0s2JdquTUuAQbOJ S/HbGbjpp3b92UNMqMp/6vFjHwNfvAtz1bbNgdHG2lstdD+U591+xbGrgINc +p9PWwnUiHdd0HudA5/f2vj9UCTw26GUOg6PMzA489m8Vo3AQqEm+7tXGRBp W1EWbkzvj6dqth50f+uN1pe4n6Xz/sLrX0J4KOiXa/Hy+tB5N7xzb7utJyTm rraRjiBQYItR2cm0ItiZp2kum0ag1erXq4JiasHj6DqsLCAwbShb+wmfKpwK CBEsqyPwYzrZd+FfBJRtKDWwaicwq9Ly15HyGmgSWfFvay+9b+Tl9rTYl4J+ Gr/p0gkCn2lLV9avMQKdy8OCaT8J5JdLVBC7mwpf/6rcz19Oz+OuV8uNDFnw 9do6IYYIiR0D6yTjjyZBBivKVECaxECOf4yTBS4wHhAXxXGQxPqoEMf60Dwg S4w3lmnR+0Fz8MToOhbM+9TmdpuTuB1jf7R6Hwfm8YjuN8503l9ZiH63CwGB li8TtgEktjTn3ZnlrwaxJ9PT567R811uqnN1eiVcU6ux2kTQfXSbNiozNYA6 gWLlz6UkioWE7FPkSQJHB53OF00k+jkGBWZfY0LolupGty4SL0jzrdlTywCV S+VZ4YMkuql9d//kbQvWg2KbIj6T6J+xUc6SLwe2DWxNWfKXxDzdRimzXBYk +rbO/V5F9+F7tuS3Ejuwu7TlbuFGCl8Nh8XXpvnD9566eUdZej6z3zMXhDLg qvs5rKJM4X33iIQv8rUQ+ee3zAtdCjuXlOp37lKDktHkc2+tKBS+m+PEfTcK 9slOL6fOU3hpy5uPLyVrIehlkKjnFQqNfzAN/ZyLQXehsdcqgcJEa3jinXsS Iq41LLDdoPDMu82HmjkzwLbhBK94FYX7P1pW1GaxgJw+2bb9HoWyA8dXHMmO hqD7P1xLnlMYs/31QZasB3Du2bW0ZJTCWSsxS9f8AvjJs/2v1XcKE1KPd28O YEKespGL5FIGNqf9V6o2pAY933eGca1l4J9vUp7N9VfAY3XHEsYWBh5XbTg8 ElMFNR3z7tUKDPwcpziY7lwF6nFCwhTdj+BFhfxwLhWwuX1zrk2GwPuS1tH3 X6oBT1JvqN9hArd+foHf94XC6WX5f/J1CCwZt32Lf6vAZA23g54lzUs5aauT 6fOVSo/5jLkSuNZm57HVk7pQOGTg9e0ygXZOSXUmu64D92JoLyuOQEFTGVH1 USbMZVuPJ1EEMsRXreGJzgQixfNcWAWBFZPOPprjZ6Hkx7ET0ncIzDWZm25o yAHrmaotx58SCMryr70KWdAcVzv+YYhA0R6ZC7UOLuCjIK3vMU3gCvZfzbUH LsIrr31FXv8IzPjXsoTtaikQGzgcdvKRuKNATrsovQY+aQU/+7OJxF2Roi/T D2rAXPfu0jE5EjWLFVMtQmLAqfnGp8tHSWzOK97lkl0LoerFYskGJH62zZGN ySqAZQe9aq1sSewL9xio/HEaeComZ1W86P6tSnstuZUBTwNSCpXC6H5JBZzK pOfHfDXbvYlk+vqGbt3STB94Es7eyZdHonmZ71qbJC9Qn2XcYdWSGBu9daWS YRGIuVdYqD2g+UtMfE6PhwkZ4cbjuq9I/KRY+C9nvQoELWvu5f2PRKN3Lw5a LI+ASfZnXhM/SHz2ahlDOaEG+M6IhLzkoPCPmW3RNb1SuLF5yw9vITpPjrL6 Dtom0Bt83zRpO4X+e+fZrLvSgHl5sUhmH4V7vc5zFKrQ+zW0iFGhTvclKdHV KScNuiU+hZebUGjI7TW6wDwHwvLfntk4UKifd2zNw1e5wNkftzLpIoXhMeHb FnzofG9o3aMcReHB4S1/v+RbA32WZa/SKVwvsjKxif8S7DAruvtfIc1PzVs3 HztaDjvLit6XNVD4I0/7X2F5NbBCT9bGdtL7IknDqUf+OH3/9s1c6aeQJcWv tCkyHgq0+jOlpih8UVNZkGXEhPlA/t0n5ikcbCvWMB/MgVnd/2o+r2Bgxbpz Lp+WnQbtHTsGL4oy8CjnjxO860nQzOGcDdxB9+eJAf/rIRZUhOZ5HjxE9+W+ 7aadzMtw+YO+5TDdDy632aub+VRAKs74ytxmAgfCbwo4LhTDuMcD1it5Aq+5 WKv/qjOGxd1s1XUqNN/4eCl9Fc+AF77Cf68bEqi7J/7kQCQLlCjpegNbAo8+ RJ4qj3SYv7F8r6AXQfNuhHJluRNceOKpyhlGYLuojcijzFxQKli6TzCFwFH7 4k9L6Hmc/yl0X2MegRxJv12O5B2DNsvE9lgmgbsNE+/97g0CLHLaYPeQwP26 gfVrcqvgUsDGhwqv6fO5CVT9KaL7vru7b/w9zXdKv255HtAC5xatauoHgXvK h0ZDZRNB7aKhaDgHzT9C5ODHlUzwHLziECVEIvOwXvx59puAlWTrJkkSy47t udUlbwdtpZoVE/tI7Nz4xNSgjwF5YXesajRIlHn6h2nylAUHIu4zSkxJnJ3d wHfd4wJsVPz04K4jvR8OxTzOVvGDAl2OX67+JK55ltHwr6Yc3ieXNqlHk6hq eUI7JbYGLjE3qG3LIpFN7d+SCxka8MLSZeNCMYmyTUr5A7kx0PRf7dm6WyQK NHq/yB+pgUWtjvM+j0jMds+5mH20EGZ6nVbaviGRytpVUm5vBspr5a65fiTx fNpv7br8bJBuHBdZtUjiii/ffrWPsaDr2o79AyspbOgx32fwKQLaDiiJlotR KNMQv7OfxxNC3ST0/HZSOPxF5u2zjELoDl35VfIwhW/Pffc58h8TvL1unxzQ ofnKRtlA44QqdMctHm+2pHBdU+sh7YpgCA1bvvymG4Uid86zMhSrYY7tC/+V QLp/a/XZt1dVwh+rp7FH4yicE/3XHnBZBywzLj9aTtF95ZhNclq4Dh4LdRkL 5TRvjYSPjCUyoZdb6PiqOxTGmoffG3ufDSNR9itZTykUvTqxJCvhHFCyKpYx wxT2ppxN4nl9E+qqpi7YfaVwWumn4IM4el82uvfvZWMgm+XWSksOW/id97ns 02qar5b5pp3m9IVG5wPHCjcx0LpoV0p7RBkonuJzT5Bj4LXNNjwaHLXgP9f+ MI7uh6mJ7uUJuh9bRM/4PZMmcDP/jsJV+22BXULprqkSzT8CPl3LTPzhMtQb F2vTPMXs3FPlVQ45El4NlqcItN3etCr5ZQ3Ien8NfehMoNgK5baQXjUwfLE6 69cl2qf9bblKZKPhk8T4raRrBJ62+lE9bFIL7JTofX+CwOCkz3dWPsyD5zBo GV9G4Msj6g0n6y1BqNf434rbBK6JI3bzVRIwE3j+i94TAvdqG13PHGXB5a8d ZT8HCdSyrX74mnUVXB+/e278mcBVF61VwibOw3fWDdXLf+jfh4/9bPXLAviW KtDCzUtizn8fQm5fZYJb1vjm8Y0kHn9Tx29C8yXVcUxoWpbEqi3vf75VDQPN Txb8Z4DECQGZv1tvVEO0uMDpTD0Snb1T/smcLgfUDKtUsiZxs+POIftSI/BN 1f8odYHmK/6TT0Yd0sGap7ReLYREy8MvzPRjWNDq1xzbfp3E6vH8ndfTrkPz 7PkKgRwST2QRm51PuoDtYVvG/WoSf37m1Z5pz4XznwR/SraSKNjEwZZsy4K1 ZS7ZJi9ItH8g9UHNxgh22/hpfhoj8b3Eto52q0BoU3o31D1D4mDOXMXSM1Ug qDzAMbyMQq0n8wP6eVUwuC9mr4kAhX1bP+Q9P3EClGCgOn0bheI2YRZFC/T8 4Hf5o7SHwtOeQ3E2Qkxg6jVXJqtR+CguftTePBeasysr6owpLJf7mpN85Awc fmteh/YUzuhffkbvBTCULeBO9aGwSuPa7BDtS0LH5WWPR1AoKHzEU6QhBPBZ YENdKoUrr3yo2/bzAiyxd034lE/35+Nhrq1RRaA0veZ8dB19fPOaT2mfa2Ga FDzg1U5f7816exF2VbDwLbge00uhg8yD6qvHI0FZ7csM1wcKzQ5z/uBIrIFb m/tyDH5R+LPqwdtN/CUw8oht8+JyBib2/r1V8dgI3AanOCxFGFiYDRz3mKmQ 9Md3f6QUA6UNvjvLWbJgt0DjBeGDDByLNcoLjU2BCoOlK5/S/bh1ac/5EJqv Cl72B7yToOexbeYfx4o0mNX+pyS0j8Am5SJ/rXgHaK4fWFqlTvtAgvlXD+48 UNI9ZnHRhMAuqRXd61NYsGfFKvLaOQJn/LOcWr5ZQcGtaxOcFwmUM7PnzFp2 CSr8y4J0omieKi/QDqwth4058Zc1Mgj89Htt+pdd1XAorVIrr4jAiTQ+Wavr 2vAl09PucQOBDtU8H79NxcO65E8R5p0Euq3nP9+kx4RF1swBwX66n0s/OU9f zgPzP2avN0wSmHx1bvXREUuQVfK5FPebwDuc7Rt3kgRkRyq6tq8gsavpBeE8 woLzh2of1InS+fSt8vr28CJ8bbrwabkMiQtvEiMulXnBcp0X1lsPkbjSbEZ2 TXAxpD2ffJt/nEQdS4GZZcW10Hwut/C7BYnr854eY7qogPbZjX2zriRejoZy MeIqhO3q6zULJHH3gVmm4fJaMObcsy0qjsRX9Vo5WhVFQLxS9xejaF4Lry0V LzeHrK5xq+Fy2kdctSSSl2WA4OT7XdO3SbwZJH6nJ5UFXAuZHOe6SWwV/hIj OJ8I18W+SRcO0f5vH+fsF+0CoQUrWOQ0iXEvJtiDXheA+KL16rl/JD5xCuds K2eCsc2pOhE+CuWfyLafcVMDtmbuczmbKLxdfCT7wXQI2KJmgbkchabd5Jpp mypQmXz39DTS87zRPFa+ugoyovYt7dSn0EJErVrolQ5E7JUJ+WtN9+nwOR3t /ESY6uvhyr5AYUu+6DHBEiZwFqzebB9C4dNT6dMrVHOASi/Ycvk6hWwf9iQs tbSGiqDZnfM3KVS/Ld06askAY5/3YSo1tJ+wr4uXoPed3avUo3ifwhr/9tsP k5xgw7+IbsZLCq3OhSb5fPUF94MiRZ3vKHxSKfzn4q1SOOBkE3NqlsI3HMeq 28pqoKF1/x8RdgZWn/dyDNBWhVp0Nd8mwMCXgcPPd8VGwnamaUvaNgb6Okuw W6XWgPz+/86/3MNAUB0q/S1VAgLb7B0r6H70uy/4XKbn5w3r9963dxHY4qGV NnhKFQT+eR/LVCawVMk83qEnGpTbkwpydAm8+KvG5MRCDXD/uSGoYkXnc2f8 upnOEpAafun4z53ALSdWXOwJMIXFqWSdqSB6/tNpKmVPB+kX4j/6EmifDvhj er6FBR8yC1aU3SBw0nfeNLwnAhwmuTz8qmifn5f5tmOVOygL7M/WvEf7hqRb y0x2ITxx/G6i/pxAz2f+tnY1dD92UJvejBC4rP5gi9R7LQjKdO++9o1Aa4ya 7KwMhjr5Lh6XJSRefeUdqcRfBZr5P1brrqX9gHPVpc30vnf+ve6K4FZ6Hvvx OYQ5G4Du63XYo0Di22kB1t/f1yEm9r+HWaok3v6rFKu9kt5XbsqDsUYkOna/ qtJUp6BN2q4+9CyJlWXzywVizkFOW+hfSx8S75gUnunmzwPlj4HpchF0vhWE ZpziWaDwUe3H8jQSvbcI7SxO0Ychgcx3PAW0X7+0rblUGwA7yt4OF7JIjHp2 Zs/sQhl0TqvftW4jce25Km22d9Ww8fQReY0eEufMJzQ85o9BV/6/c/IT9P54 73TCpDwOeJ42c7H9oq9/SOSFsC4TeIJPLrYvp3BTsATxyDQPzvI0MpNFKFT6 fKsuZ8AavFtL/8RKUdjqlua2/hMJ28bjjMUO0L5cUGsd3csCqbqUhE5NCm9l 3j6d7xkCI5VSFnlmFLabq+6a1PGA7+FXP4Y60bzjznbo4LMiaAzz4Unwp3Df S/Wgdm0mbPtqeEg+mt5fLG5YoqwGo1wndb9l0jzlVeVeUhkKxsfffxsqpvBB b7WJ0bsq2OgEp541Unjc26xKQ7scAhxSZQseU2iex59ApBhDxuc2Y58BCoXP lbueSEwBXr0H9I6nfd5PJXbAn+b7N7pNmosUtlnpdAakpQHXy0614ZUMXK1+ kxHOaw9Sfk41yWIMvK+C4mrTOfBXPa3KZ+f/feNg7tUaFuz6Fu9lcYSBP4dE DVqXm4DWFUb5NN0Pi5tNWw/Tvhd9SBEXNhEY+pNTbNuhcrBt9DF+IEeg8Fin nVKbPvDoRls2HCVwoVxwXcCHFPjF1lWQYUA/Znz4J76ezs/9qiOqNgSGbOR7 /yuYAc+yznWIeBJYVmYuwWlpD7a2eczZEHo/yZt8f6p6E44WnsnjSqb9wip3 Yi6RBdhaX30nl8C3j89U9bsbwuUn6ZsCawnUtrFv21HrDzGfNcPsHxA4MjA3 eJ2zEt7slJZSekUgS7TNSHqqGloDStf1vyNQiG/XxrAxNfAf/vs3Z5bAZ1cG zDc0XQN3xTfHvNjp/C/99dFsVy3UsCsmBgiS2PhgeKvKQh4IlEn92r6dxIRr h9yGes5AnWrBvb69JCZvMvU0q88Gya+zQSx1Or+vb8VStG/3xD4mM0xITJ0U jty4KRReFojfrXUgkaZXQ8YOb/iSxsfm6UfiSKB7yUvLUtC8GH1z31US93vf urP1Zi14ur7ctz2TxJqnejbxM6owEqzDu5T2jxMvY/xbWiPhfZ6DQlEDiYvd hx6nvqmGW2+NtP07SfTV4inkYpVAF2fHff1+EvfKXTr1+p4R7Cy/hdZTJB5q Nrk4NJUOZdKaA2sXSBQOd8k/f5cFzmlWvY+5KUyKI2/e+3gdfgmrt1eup3BX So7A8G53eNRg+fuKDIVHDSabdQ3yQcFJ0E/0EIVelISP0nn6eFnG1PBxuk/T Oi90nXVg5F1VS6kFhc9emx148jwApCqSI3NcKewZzv0cJ1oFNen5iRGXKcwd eCKtpFANrxLNJxRiKfS+kPx0QFsD2qkh+ZUknWeNykXXd/EwR3x8O1lG4Rrx JrOKx7XgLeIbx9ZC4dLXGmLXf98EPmfyVGM33V+T8qrSO7YwVaoTfWmI9nNL ZpH/EQakLX1Saj9N9zf5yIdTz1gQ6XeZ78g/mv9cf40fj/cC7r9P7g3xMvDG upVZfGqeYJ3x9VypOAPFzG+d6ZEugdkt2W5Bu2kfn2wRfMDOhLWlm8gIuh/V bxeYT4VUIKzjyMHXUgTWXMYQy3deEOz+0UrjIIFXnY6937DcB2JPI1upFu3j A31nfQVKoaNS0sbOnEB5ucEzl9prwSPz4op6JwJvLkt69/KYCkh2ue9a9Cfw q9rG/PQLETDYKCwTEkPzj7uq0bwFvX8YF+Xdsgn8U3KoJTytCFwF1/QllxLo XvHK5A3TFLo0LM3mmwjka8m0PvcsAw7f1zU27CLQjl1h3WIjCwZvvlz9b4BA p9Wn72h8SoIJ4XtrNT7R/Zq50NOr6wxLek9eD14kUGHN6ZlVMXkgZkhM/uYh cWvlwRZRORZUtGZqv9lAYvjg6r7Vu4+B58Nnx3/sIlGrL3r/X/NgOBB+a7u+ Ms1TLr/c+wOqgCdWK5DQpf05Y9q8UqYKhvWulUudIVGuTHxHwHM9kFkRPr7e g0RuiW8pw0IpUGxcd0crmMRV4SU3dMRZsN0yy7M+kUQ1/+0fKlwygVkmcVPo JonzXFz3xprOgYe1asKjKhKlDmyWu517EzJKOx+su0f39ez4MvvbLHgGP31O PSdRdIOXBVPBHrgSe9gGRmk+O1U0l+bqB6zXrimt30k03C8iP3myAjLKD3e8 X0rP/9jsbewfquHS0ZbX6vz0/HYjgz0+aIDrxgmrrK00H91eW3xPLA5irXIK VRQpDBVK6p3QrQWRfW37I1UpzF9oGluGhVBrcl21yYj2+ZcBJs+6zEFXkVda 7izNO9l3x/Zcy4JfZgoxad4UvrJuTEx7zYIXox9KDMIpdC8KztoeHgciS7n4 i1Jov/iRzhNf5gauLt1z03kUWrs+at0rVwB3E9WZF1kUlvE8K2G7zYTYUp9L 59oofNjycUPCNhWINRsaSeih0DPKlVo3Fwox935t+j1O4biOkmrelWrI8Goc NPpJ4Yrqog3c5uXQc5XXbBntHwuRxEd3I30I2vtYVFeY9o3eJ5/uJSbBfpnd 5jGSDDzIfoFDYYgJXwfVLnAeYGCy8Srv7DQCNDktxtrofrgpHn7My6kCnKEN hz9so+f7CZfbnRIUeKRU9XPsJTD6/M/KSXU76Hp9tqL6GO27gl9yGb03wbrv 97KgkwRqLn80lPOCBb6yKVsD7QkU93BpsdzoCQG1U5e4fQkMcF/trjjuAwze oWmlSNoflnXZr5csBYncj1NK6QRel/fYesCnBnpc3j8oLqR9Ozb8RtR2dcjj vtTcVE+g4ayMAPeWGLDte/zRooNA/dM3ZavjasHS4W+2WB+BO4Vxt+zKInil tU+I7wOB9jL/1Z0NNIUjFjs6rv8i0HlgenciRya0qTSl13HR+yDDRnQJvU+r 7M59LllH4gajUD+7gkh40LC4mXfH/79PleNTDPeAuXe7vQWUSDx9zqoz+ncB iCqL/y3SJjGJdHLr9mOChXtp/sgpEsXqezJ2PlKBf70GLydcSHzs6Cojdysc unzeDZ++TOKRxQdliyI0D0+u4b4YS6Le85+audplkBK76LKRJPFpbv7e/RtO QtHXdt3xMhLjn0/5rhxOAeWijIWRZhKbO/TDXmxnwcN4iRGnJ7S/TC0EvpTJ AOfjemOpb0ksWHYwlSvtHFw4mux8/QvNbwnFh9/Z50GOS+vzhb90/6eNu2KB Bd9d4k1WrKb5fP2P4FBlA1DIFuLPF6fwwK75qu8mQVBy7Yq+zW4KjbYE61bH VED+08+m+kDh7yi/X+bcNZCgIpL+RI/CiWOMy7vGNCDj2vDM5zMUrmrn/6Mn GwuJy+yuEh4ULveIMjH/XQuth9tJl2AKR2WK3498zAffTrlAt0TaR+yGup/k nQLRCJOUPzco3FZQ8mAgOhsGhNZ1ylVT+N/ZuXOCfSxgG/sRpthK4cKVseMa 3wJAd/T2hvwXtD8Fvjx29rgXNNZteX1rjO7DoHdE9c5iEGlSfWA5Q6HPm5/6 60troSL42J5Nyxh48tajwMscKvAgU8ddiJ+BMlaPF+e/hsLj0dUjWVsZeGLm /UuLrGr4/u/8+VZFBn7taoDS4nIo77sNBXQ/4l16bH7Tx7Otvr+3dSeB/U+2 Gt+hfSRRc/v7q0cI/M6Zl3unKQJ0/1tvmHeC9vUDCfzHuGpALupki+ZpArtF MwQvz5SDM7vF9Fc3Amc53xdWrzKCF++/D38OpP2Fq6ZMeToZRB0MzrXH03n2 evvE0YEF01nL/BgMAge+Cqx5/eg6LL1z5GNgJYFer+YU8tc5wWy48uyBuwTy cr0/7b4xH4QqnjdrPqP9IqO0IUqNBZaDRWGjwwSqpMg/Shg1g/n/jq8O+krz 3OY66vFoADw0DDl1no1Ey4UJBenhcvC0CTx0ZA2Jidm1fqH61VC6+Unhii0k bllyVcfERAe2vMjzGZQn8f5ccLb/l3i4tE21/5oKibNv93zf48CEf/1eiwmG JH4v7S+N+5gDZ+VdWB52JPpdGd7i7GgLpkp1v/W8SXzU1SA1fvcmRCpGM/aG k6i4SfOoHL3v07q3DPxMIdHFTVnjXqct9HTp9vDmk3i3cMRNweAiHHjW8rSC SWIe27Ir/YUl8L1iPs7wIYlnWo8G+a+phYGvHSuPv6Z9v53hZzejAvmvTotv GidRaV2SigxXNMw7qbfMzJGoInr4e+SVWoifrmt5wklhiPEBr+zPhbBU+Itx uDCFG/WWFyx4WUDBzfqSBEkKC7gvCO9TzAJX+Yd/t+6n8OqT0TsqN1lwjaCE mzVof1br39S5Px56nbm/FplS2Oi/sHEFugD7wGErT0cKHV8bwVKtArCuWBKb 6EfvH4OeDqlfTBiJ5G7Yf5XmpaM/ygo+6EGD0nDRWAaFL2OaJUPUrsAdA3Xz sSKa32qneEcSKiGf25vRcovCoeKm2x+wCkR8fnhkPqIw/rzWqvN1+tD59G/u pTd0//hOd3rduw6nurpdD3ykMGz/zQ/XFpkgulP+h/YChS7TZ0eSN1HwN7E3 YJybgZev6WqOBdvAweda7RHrGbgEdyq/KbkBud66L/xlGMih/yNde5gFX26t 89I+zMBrj2Z7lvI7w5jir/AJuh81UmGXVQRVwFmSX/g/BQIjkgMbpOPM4dOa ixwsVQIf9xwv+1aaDWWfbE9eMyLQ4+CCdMEjFvzyy5GztiPw6ICkeAYjASQK i26u8SZQo45viKvNHRTz89s3pxK4VoEb+F2ZwC2s28TMp/1cZs+UJZ8K8H26 6k6wCFwhGf+BzysU5mxj6q3b6P1QUyb3oKYaRB/x28r0EJjemOV3IrgCHo99 TZ/9j+a5jR2Df2Z0wYJMscuaI3CohbdKoTsJRJsefUnhJNHDpbbb7gET5Jld ysnCJJ4zDIqtWEp//jVr40SlSDRSzPa6vdYBNgnHKFdq0nkM3qa4eI0FmYFN N5vNSOTPLxc5Z3ManO40dD5xItFraoXAe+FAOM05P+1wicQDrFxx2flKCK56 8tokhvbnhKcfwtWqIXTRwWBLNokbO3arJ4TrwIMDMbKzJSSyXRRcfXhtAiRt Z0t/0EhiZOHqPO6OWhAtXmnkNUDin7LDW3J4rUDvYsFrv08kKhQcSvVvZECB doTJ8j8k5tptyA/qZ4FsyFzaFA+FpzYVrjS65gsp5rJuJRsoTD8kpJYb4QMu xBLHvUfofL2zNp2TYEJgw8DdnhMU3vMfFy7frALN+zX7u05TeONPq4TR1zAY NAuIYrhTOLyB177mYA0oOe9L9wui0DnOmxlZWQbbdx1T0I+ncLD3sv+aWAP4 el3Ujp1B+7Hfqw1re1Ng0jzUaFUl3S99x71xO2k//sPiEr1L0T47/Xvn0hSo zN/VXPmMQjGeu690+Vygx4rrgM03CtnKH99fJ8aCrEXrHNklDLyzccJxjssA PhxflTHPx8ACi7SMQb9LIHgkeGvuZgYmep+I/tZbAZ7XI9xvyDMw96H/Lsnn 1TBy9PyXVDq/24KvJm3nUYFWl+D6xzsINO+y2LuU3wCuDlzd7HiInqf/MnyH 3ILAdbNsceFxOt/7ghpKHlTC5eyW1SYWBIrEsFexM6vhk67T4ksXAh0ebOBy 2KkFl/uqOH8EEJj45mett18cLCQyNfNiCXy6fWhvwW4m/CFuG0eS9PWcBWTe dt6Afc6Fo1fLCbRoeyy90dwGSg4kXj3RTeDH0TLtqAEWiEGL1te3BC51a9y/ wH8ZvgZxXrf9QiAHo8hUT8ML2vpjk9avpvOz7qDvbEkt7PRU/P1NnMQ3uaWX a+NV4dHjxpEPu0n8AscFZm5Ggpnx339uSOeD0uFmlNUAZ+3Q4TR9EsuFc3tq RUsgBwOqdWxonne0gbITZnBv84avez1JnDpzMnhMOBtEHjAqIZTE/wJvXmrr YoFV6lBBbxKJtjvEM/hMIuDB4camtbkkHstSrdaw8QD1XbbS++7TvsD9u2L/ CyacFBm5a/iSpO/3EQtDaXUwURBN/POOPt8h3d87s0Kgj2EuPTBLov/jhJeX Q6shqdtftZ+dwrfM0YnPHhWgvNMk1V6Q5nNe8Dm5xhC4rJ+yp0pQuFXr3HaO xmRYbFc0UtxLYV/VP1/+FiYYONVI3jxGoYfePoHL+RQ8HHmyruYkha7uj+/l D9pC2TLRa8m+9PzdMK9q8YAFp5j+1WqRFP7MDO+pOOgJjtTM6YdpFMrtiZ37 W+4DtSfeSmfXU7hj8dmyPxM1YJjI+nGlg8ImQY5ZaTN12JHirhLRR/NL6QFp Nppfv7e9axOZpH141LFLKqwWpnhmJme5GGirXMrH+ccULMO4vzmtY+DeOIrV cSATPj9tEQyVZmC22e794TSvuh/f7SmlxMCrfZ8Sxk7GgCBZrNhL57fy/inF 4ZUqcExioXFoO4GUX0bFOrUE8FuiS2zfT+ChaNVzFeWuIPAgscbDlED+Utsl MlI0D76LEMpyINC2aYn3e6YOPL+z03iZH4EhRj9z4HkQiNyU5zXOpPPnedXK xL0Sbty91E0VE5jKjg9XCuvDAWkX7oFbBA7/2/acbU8SPDuxapPpI5pnQiME faeZMFQVkCIzRb9eAVMP1NiAx6NS7OMm8cce4+DDdJ5l+dmI1vU0b9RsuXlI 0h7E7ozXLdlJ++WzZc9MrC4Cvz3zdo4OifXjY+ZHS2tgw5nsYvbTNK8o8mds O3oMUr9ODS5xp3nhyp1LD2m/U/qv66lREIkcK9bQDFgLeWLXI0UZJOrv696X JHkGYos4zvdVkFirzcVQ8c+GT9Ly1n9aSORJn/cNon1O24FXxvYpic++WyyW K0VAw+ekCw3DJE6D/eGCWx5AxP7T+cpGYe/E0nrxL7VQZ7JdSGoNvZ8v7JPZ s0IFugf/NjA20/ORlFpaIBEBoj/4Fg3kKeSMMHdW9aiGoaVvNFyOUrjo/uZZ s2EF3OwydntgQCEzLOJkwhUD8Bz25V1tS+HdXvYteYnJoFahHZ3pSfN1YkXk 6X0saLMX64hJonADsfTfDMdZ6H5ZqWxcS6Emp90Gznr6+ba9/3QeUCipYFx7 7MNJ+CSmeyXrFYXFL/Ty0xUCwEz4ir7ZDwpf36y77RVSDa3sO9rWcDBwctfv jsggdciZuKamIMjAnnOqgewtMRASySCSJBhYEn6iQepiLVw6z3O9js5byuDD Qg6af6GGg9kgS+/3BFHFkhx1yGDdLygGAkVzPVwPp8eDbPGKhRt6BPYZKbTm vKiF8Vs6Y6s86PlYa2TvPWYJkt/23Bq/QuA/pY7cSbcsOHDkS9hUIoHhP4ru XXjHgtEMreyGmwS6r3ku2pvlC138r2Y9q+l8QUya0/QFCN/K/031BYGEhuy8 +LdaIPyTb78YJdDKhpwUua8Cy05cj8v8TuBPTYe7Tz6EQRGf8J1zS0mMeNjh USZdDRsn3d5b8dPzLDxwcsXZMtjx/JzJ5m30/BlyUtBwPwmX+uK5nymSWLEx TnK8KwWyZqNqitVIlPq8ZqowjOYXthXN0cYkLtpaj/TdSwPJLRa3UuxJLLr0 jOwNcoEfOZ4JMpEk9o1b/8rcyILu5Q6rRdJpXh05PVEkoAbjlu++chfS+1pS 72C9YzDckEv+7t5OollKLC6EVoFNZ7WJai+JAvvFmuzPaMOs780KlQ8krls8 4N0Teh027FE04vlN4t8NMy4n5pjQtiRSIHcdnYfrS4zUcs7CYJZJicBBCu1b nL6n0/fzwdOY5b1aFO6Z68kceu0BU7PqbQxzCs1mb7EbXfACAfPJ2LhLFM4U yg3tc68FR/Pslh0xFI69P3HkGO0/3L2PZv5l0fn3md2WpRIJH9RCYwZKKHxs 1HI2/nM1ZLRzC441UdgimLLHvKUYhsz3fqrpovBDo3bGagNzcFyZwOExSKH/ hPeXp9Xp0Pr81lqzz7Sv6fr8XN9Bz9urriHqfyhMrC2vOzIXD2sFm1f18TCw 2MNQgvOoE5ivG4q/sIuB/MKJgSWmLHCVYvd2VWYgfYbO2D/qUPVIvecnnc9F u6Auri0q0JiUcyNwE4Fd1MaGT3crYNOZ7q2H5Qj8pnBdLFZRFwTenlA4eJRA 5ZFNwfddk2Gl+vaF9Qb0/PsuFre6lwliJrNszdYEyoarhOq234RGYaGkrAu0 78lElon62MGbnUc+u4QQ+EtF/XTH9hvwQDLeIjSJQEbH0RXbbrFg1S7D8yq5 BF6cufXmNesU9EasP/GjhsAfZ93Hnd0vgmzigbrx+/TxzfkPeYbKISaiov/2 SwLbzVoviQXUANsWUSXDdwT6Ln/CdDJQBTaPfgmJWQIFdK3SxHKiIXwNNTC1 jMQhk2+5ptU18CIjNu+HAInuu5QfrflQAEE7vqwtkaD3f169r/RPS6hYffK4 wV4SX0psynjRkQmOBatX71cncdi2MMNwiAUFiU+J1SYkRr39uMrB9CpUWN86 ssuBxHZ1lQuHTnvC2kNC4bMXSWzWIB5Y7y6BeUe/lIoo2uf2ON2OE2aCu6as XGEGzbdCwevrb6nAxNojkRFFJC67dtzKelkE+IcfXbe5gURDKZXQFyfovBRm 7l/ooPlCvpSVY1oGBzb+FO/oI9FXT1Oz6KEB5F0KWv9mksRGFS27Irk0cBv1 a06dJ3FO0k/VmcGChmw/STVuChu2SA3YP0yFxOVdG+TXU/jltK5CcJILuFv5 dS+TofDQt3TQ3JMHZy1Fm5OVaH/THE45coMF4yv59toep1DV4r+ldnlGMMW7 0m+rBd2Xj3cVcs74Q8B9c/WtrhRySbr7SK+pBD67JU+5LlMY+enLN75n1XC3 mEopvUbPZ/bGCk2lY7B4M+G/WIJC66V3Dz5MiYXGzxFsNmUU7hrRFf16qhZU xAtkL92mMPrYjw6dn7kgZXFw6ZFueh4f/3r77FobSJx6zvj+lkKFMsWK09tJ iJRp6Rj/QvfrHlNGYYQFwabLyu7+pfnnSt9+vtQASN6h3GXKy8DV/YKDq0gP UKjsurhLnIGn+0y4vRaKwDjK+vMPWQbmB0dm63sw4QzHk6shdD94nldI7RVV AaZ4eaapFIG36115jwpfBmV+Ndk7BwgUzt4VJbzFC1I+sffIaNF+NaXx8d1Y MQzMhrDGzQg83Pb9bpkcE/h2NnXtdiKQfTvPU1teFVirtfFnoD+d3/ikzLv3 w8A4osruVzSBUSK53QEvqyFevODDeBaBpsr+2+sdS+BgcGmqUCmBmU16jhyR J0GSbSTcs4lAu3rRqNfs6TBqrxz18jGB95QXXS6msyB23uxe6ACBVyUnO2YC 0mBby27Fux8JfPQjiOPKgANcdZBrWLpIoEvPlyJ5t1yQl7O+coGHnvem8+s0 ztPz12TGyngDiQyTnOWf87VhUDXtnN8uEo8/2LV09bogkNN3rOo4QqJqP2u/ z8NK0FU5u2qjLokrOZbv8hyoggqjhDKGFZ33pNzK87k6wHl/w9nU87T/lSeT 65KSoPtXk2rXFRLblNs0zgwwoe9EtP3uRBIr7fbwNwaQUHU1OCv9BokvJj8c VmOdhYvfFZfrVpEYuuLP7wHiBuy6lluadJdEUXu2rv96WFCx4ojd4DMSdY+Z t2ZGnAfvQo7ThqMkut3693NO2Rd25sqfP/yd3h9Cad/s1pWDub1bscNSCusz N8dxXaqBTvU+iTtrKbyi5zbDd/sYsPO6sdZvpZA19cbBfTIG5NhbLrcpUDi/ RkfQdaQGtKUfB/xTodBW9d7V4+LFILtnafwRI3qeLy9zmXM1BVMrx7FCOwr1 QkqZHEUZcNz9l5awN4WH2e643r7NArlytclXYRSuv7jv5hnxJGBff+LuphQK DS4d0Xf84gw57ldKLuRROB172OQidz6Ej470fGHS+U9Zl7aFj57/NfnrRx5S yMi1uXwxUBXytC5dXdtD7yutoUOMiyEgxxa0/8I4hWlVZ7abfKmCq0Tp71dz FJ7f5+x2dLQCnjukzkRyMvBCDm57XHICltsekmgXYuDHJQ1RpluuA7fKSmce SQZyauSoKVxngv5R7m+B+xloEx9qVmF6A1Ksl3e30v3YKHCjeTe97/b1S5LO 22i+OXtZKPTHDZA9uKI4cA+BhoejROScbeDVWelwhWME+vP2f62g/c1rg7HZ kpME7cdLzdeMskDoXu/4j7ME1pTdMjsWegnOyWWpxfoQKLHQcM90rTeI9PtK 1UQQWMz/Kd9zqBiKtormMNMI/JrhNqnEWQu5PUGhOwsJ/FJoxKxxVoN/rX8+ KNbTvulAln1ajILlAU0b37YT6Ligo7lkcy3w3A07caOXwEnN0JOP7xTD2q95 +6InCNTfyB/OJXMSHnxkn+b/ReD1wc/RTmbpMLDpyi5ZLhKvPuUp236VBc9+ 3lkisY7EaitKnlM7DmT3tx6+Lk2ijnHegeJD7vClcuhP7EESH158dda/KR8s Zw/G79AmseCZXufep0zY4VmZZ3qKxLCFApOAoGPw5vpHfRsXEpVm9x179ycU vq6btBsJIHG+ZT3PssxqcB5g+/PlGs1DzjmWqQvlkOhoas8gSNzOPhj6bYsR VIY2tDmVkdj5vJYjwCUZXkZ5jpk3kzjilD0ZNsSEPDOXJx+7aD6fWcYv+DEb emyDlFe9pf3zU22okttZ+MBrdmzlF/r97S6o0NmfC3ZbZ2qC/pK4pL969+6L LDh6oagghJfCb7MV8CveHB7FEE7bxSlkjx+QcxgOAF35bIn/ZCnMTCmMij9X Dj2t37M7lennffRtAvJqgHtT9KieHoWdBhfW6L49BjfrDpbbn6HQr1nQ1nQs Gt6JSGtu8KDwc8Hcr/MptbCJa+vglysUuo/qbYipLgTbMZ8d4wkUtoV8y4pl NwP9q8s1r9ygeSm3XnVZSyZQDrUfC6so5M8w21Jyh55fHyQkyu/R/eHOJWzN wuDcC/OHki/o1ycu+aZQfgGsfxR+lB+j8LlYzr+siULger9n9O13CgtjDvn+ FGFC8Zmup7lLGXhpIatZskIFTrQ1+yWspR+vjBZmmoQA9evjV7GtDJTc7jT2 VqAaDM/unT6oyMC/Ynv7b2lXwryCs0wO3Q/HlW61YstVQO6cQpraTppn2Jfv qihQAd3PQbVsRwi8M6y/UD4RBibeI5ISJwh0qhcUehlRDapdlWu7LGk/fWec 3uFWCdzpVI2TG4EnVZtGzkkZQLNNTvH5QALLK+51/ApLgiT5KUo5nsCzOWpq HDtY4LleYfc6Bu2T6zveJmSkwlPpviK2SgJXDYTkFE6eA70jrZuq7xA4WHXy zMJELjTp35vufErgUTaNa6MBLODZK7vXfpjA35Year/O28KB2MbdP6fp598G y1zz9geddxYh3/4R+CQmhXeCWQZRcPQ5k4/EV8tn77rNV0MXa3tz2GYSn+yv Ti4ltCBW3znxjDzN5015ZQH5seD59Zstuwrdn4wIr38cTMDE+Ng1hiT+yyha ca89D/bsPc+csCXx1L8tAsOENSjM6l3s/P//Axxdv2iRdwNKeuO3NoSRyH6j e9sSet9r3l3TfT6F9gG/m7UFM67woqj4aUIeid/if2u1WfkA2FZqKDBJvOKR K0ZeLoao+Ffejx/QfHV8+qhnai00NvL+7npF74+LPKO1kvR+/hQbkP4f7cev c+MOz0aC5/6VmW5zJI7fCFHSWlkLeoUTDH1OCpO0HrJm8ovBQIwrf1GIzjO3 f3VdixkoXz+yZI0khRFKaSw9nwzg6x15WbiPwtn3OnmDvixoTsi12KtBoYlg jse5tiQw1AxQkjGleb43wi1szBF4OdOFpxwovHd72+XelflQe7/9+Bo/CqnJ H4vsR1igbHhurjGKQpeTt98mJphAntE2E4sMCm95nZUZTLwMs8Y/ec4WUdi9 ojVuzLkCHC14W/feonBiR/rTc3+qYDxAYi3/Iwq9r4s4CWzRhbG7Wcf/9FNY Udrj4+KXCGwrjcOqpijcvty8WKucCdwnt6ztmqcwVfxjaOvPG/D7vJWwMzcD HUJqq2tGz0Drn1vP/4oyUGEhRWNoFwN8r+14t7CDgQ12tx7nvmeB7sbh7/cO MdCjcduwXYsX7I7P83hH9+Mmf3xc2loVkOpyGbf8//fhxlZ265aZwuyNQwN7 VQns3zibETWQCXfkbxfzGtG8ZT1cO1bOgsyV4zN9tvT8t6qWd4hOBr5tZi7J XrSPZLu82inuCnUSr4KyUwj0vrxpn1QnzRchH/z25xMovoQt78FfFXDJ48kW YNH5F29v/zgcDNkcl6ZGHxL4Z142+uiuani0JZO/8jWBoxzOeszvlcAVfabB 7T8CW6Xvf5qaPA5ju87HiM3R+yhrbiV9E2F3Znw4DyeJMcZix/e5MenPc7vR KmESL3Qt/+/LMgp65PoKSUkSU4eS5iNW2YPtk7xuOU0SQ4TTzfxrWeAYcueG ohmJZb8ZBq/bz4Gav6GGhhOJ/TySNs+SL0FoyT+vKX8SjX1FIjb2V4BCTnNH dzSJ+a2m7v1fqiGor1U7N4vEtFLZDxkTWvD40aWCiyUkDv5tvF/eEQvbOd8E HmkkMV3W4VWYWS1E3lWqnHpDIqFrmDwoZAFtai5V3z/S8z5n4JFGPgmOS+v2 xyySeFT490Q57cOBkXwTtjwU/hwSUAwVCYZdWsz7MhsolEwmWDH1XkAkcJZV HKaQXDjnohzLhF+pOivNT1CokfFCPnqzCjy0zUlSO02h0ZWO1lLlUNjtflRj kzuFRNjj3Sa3aL/Zm/R6IZBCC68lNV8PVMBa9ZjhjjgK5WJEOZWz9WB76mOh SIr2gaMNwc+skqGsRMw3vILu24l09V3vmcDFPl6cfIfCF88ztWUn0qEjrdNO 4RnN/6F1PgcbHKEt6rfx2FcK860udfeeYkHqwMSRGjYGpipvfkiZmIGHX2CO Fx8Dex0vGY5L+sEHI8s9EpsZOD8mr9dSVQ4vfmh/EZZnYJzibWb5hRrYSax/ c53Or+FHVs7/ef5767Sw7g4Cgy4tz+sPMgP14NGvw0p0fkZeVU23BYB31fcg qeMEmqMDRx5VAQkjImf7T9G8f8vHSEqrBuJGy+7ouBDYtMYgd/NLdXA4af3M N4DAbTbax+WPXgNvixMh62MJ9FuepzPQXgvBGz6tZCNp/s9xVl7yOAfYXx9l rCyn/WCLgolr8hnQHbjS1P2EQOfjvp7KdP+60lUXvN4SaKH031pfmi9kJXyq Bz4TGD+//LX2tQswWK8vlcxLYtItK0FiExN0OONWuYqTKOjlqLvNXQX2aAcv uOwmUTbGXiH+XTjobyqPHgcSE/L7zjRL14Cm0+8uYX16fl65Hm73oBQuqF2p um/9/78vJoTaDJ0EYqDOrfICiZtZjY8k9mTCYcd8xdYQEi//FTx/r4oFfFFP MvWSaF5Z1vwjbPoa3BURZCXn0H5LOefHT7vBG57DfJWtJNb3NKuKbmbBnjGJ ilcvSFQJLXzNJqwDrVpan7zf0fskV7QjVjAY9Nw2sp+cpXlprt9m30wVGEeW bLNkp7AD0n57jVdCnLzHf28FKPQ82SDJp6YPN/VOWghJ0PN2PLPATz8Jbrjp SdXvof1S0/CpizsTQi3rXUSPUXhK9IWiuNlNwBbls3tO0nzCLmP/SMYG/omM aAv40j4hGnlhqp/27Suvp9sjKAzQchbPmPIH4/oDK5XTaD/muV9lSs8/X+qi ztp6CutWbXQKvEDzTvp/ab/bKZxpy01b5qsGKhHcU8v7aH4R1ht8IXEVMjic 3iZ+oPBi4875zFW18N9H/wg/LgaGjWdYxj8+Ce8rLy2MiTCQW3ClUqdzOtwd z9rOLs2g74+Xrl8szUOVs98YB2m+X/Ppq0BzItj+PCn+8v9+e8PAjJ9bBXwv O6+32U4gb603tzd/MuwrKHCh9hHYPWtw5imbM0iu+Mg5a0Kg63rQ6LVjQbJv Z/9aBwJfr69X0vE0hubDgxsiLhJ4kJy2HDa8DNmbrR8+ySBwsfhGvpZfFbjL CMZuLiZQx89j4POBE5A8+mWf0S16/jr8j6LzjqfqjeO4CikZCckKSWU1lKL4 Pl0jMrJlRoqKkMzIJjuZ0TnnEiF73JuRipKk0EIykmQn0lLS7/n9eV73dsd5 Ps/3837r3nOP3Rd9mgzec0smb58SSNY8e4VoPgNELacY+ZMECq3I89H5cwKi izx6jq3FfNFBHz31f58UWlUeEiHRM599k4ainhCtVvoyUg4fC8z//uXlA2Yi XQbS+pg/nv3TfrGzBmZO0osCbTEvc22IaU3RAM/iSOvA8yR6d0eP5fGTOLCP fWXac5lEBtU/XJK8ayDn13TIDQr7rljnxIujtpCq+mPMppxExrvWbjzHyILQ NZxHfO+TaMRVbsvDu0zYsdtMaLQTz1/JhwmzhvEgzfawY+d7ErFw+g0K27mD veYuxYss2L8EZkOLTBnAZoucc3gpZCs3GfDsLA1cnkfySEpSiNPfu7QgMALu Z8u/7N5FoY4Oi4Vd05XA+2MofhRhvp68yvfkUwWIFj+u1TbG/rdlpvlj0zEI WvvySbQjhQ7PtfWv4EmBzEe8usJeFKoJWVD5+40B1cGOPqtScN676PLmIifh mvRRx2fVeD+wfxE2fc2EtI7TOa2PKKSzZ3ko4qYD9t8pGbE3FDqz0BYctuQP OsjzfN83CiUW6Ky6KVoN9z5WOqaz0pGdbVUQyx1NkOVfMizhp6MCNlrJ4Wsx YEYGlvFvpaPIxNfW1Wtq4MnTuqBqnDd31U1PJFhp4LnGh/+gIoE4Gn3eDXVp goW1qK8k4Hyd9N0sJJkAygc6X0geI1AqozGCea4Grugn34r2INB8zLJhBpc1 8LmPhp8JIdCG+Z6r4+XXoXL1lUbHZAL1PNKhH+9lwqlN/iZ7cgnEJ9OdysUf CtnB7tXfK/F8XD6TudHNE7a3rpR+/JJA1kpi+nRLPO9eCXlYfCBQY1nRqjZe LUAL/8r4vmLe5ZLvX3EI91Xu/KeJFSSKrOz1OJ9TCUpPdl/q4cN5WmmRPsVf DkdPN527sYVEJXscIjeamMKohdlWUyUS0cU/JyCrVEhpUj4kpUmiU3E25A4D JqjWbtHnNCPRLwURlqDL2fBj64k6ztMk0qwSG/wyfgaEj/hvKI8iUarWbKiu LRNCF81XJmeQSHqCc99xbx0YOaA+FV9AopcJPy6f3hEMe3nP9423kujcxdw7 rCpVgFJ/ajzuIVFaYKLeSzYdcEh6sbZhnERnHL/ck5FMhrQVvxSif+F5Gcg1 driQAQKrc06JbKLQ2NuXHSVFJyEUeYVcP0Ch7AuVB+dHmPDj4VU9I10Kber8 VMfa7g+nX9XySllRaG/RhfwNXRfAxb1Cn/sShfpDKhetRmqgVfrnUlkshWYv y9494UGDH194cv2zMT983RFzyiUSxHWU1O2KKWQur94+fq4KbIRu7be6i/PY xWYknlQCpQ6nE+WfU0jUNVjh/RsLCF2SLfvaj3mheGVxmWAGnOGFHS9mKLSx cX0WVyETjlbZUU+WKMTNukVAfyEFuL7Rbtuso6MdW9+HFax3AfldDfQFeTrS uKb2ciwO92HC04WPanS0XSkAHTplCEvSC80LOJ9um++4x4jTIF9ALEp/N4E8 azpjBPJN4NPdCyYCJgQaZrnystucCZ/EapczvAh0o71UtuO8C9yX2f05KRXz oMtKZrYN9i9LsW+H8rF/VW6tDOHSA0kB/m+sDAK9FG6ln5UNgsjuQ4snRrHv XTs2sOK9Nnw1lH4r8Z1APmc8aT9+JYKVuWDlH1bs83/uzW3MrYFiBafBPBkS eUyL2JYEOcKYyrtZpSMk+trZaln2ngmrY59QkpYkiuq/MPL8XgD8momiqZ4h 0eeqC4tlEr6QEZVdfj8G5+WbU4arWA34Jvur3cr6//oc4YzYLC3om7XJCL6N +7YmVNrxZgwYPU7U21mP+5ZXrkHYsRocvlx36esjkVpbutbt7+YwdWHj76t/ 8OPXsRf97GGCyDXNK6acFFKiET03UhLgxPYmT0VRCvH5dJ8TiPAEFl/evbkH KaSWty5mfBcTvhgp5tjpU2hJ8XxT4XFt6K2zYNtrSyEBAdNUsUvBMOHHr9qQ QKGE3UqrLtXqgpK+8V2vMgoZL/oKKylhvvRfUbO/i0Lrpo+JiaWegoK+/qTR LxTKv1eaNMlgQnzWd+/6fxSS5l3fNNp5DsJf2tWe5qGjx/P5um94vSHtfvdn 9l101O19xZkRj/Nq5F0Vi9c/pSxnx50NNDC50PnWZAeB/Ni//hzd7QoPn6Zc 7VIh0K87x6t0NvoB81zHumErPG92cZWvN62BLva92urnCKT952v/SR0NOHTs gdOlSwR6/kvbxQLb8am54K9r4gm073PaXavBaqCKfYXXlxKopvD4jOYma7gu cULy5XMC5bB/rGvF81he19A+cIBAtDMuJazrrkLxBZOvHTM4j/F+nQt/3IDd +61pOBfuH8cnJw9/ZECSIlJ2ECdRWfaOxb0MGnAc4dztpUiirKA1g6rNYcCr f6W86gSJVn5d+XJXpTFEVlYefBKK+25V8Yd6KyZ4nysJgWsk4vV/k/7RPR3q XrQXpueSqGD9J22RuTPA+vzLYE4ziW476a4qzGDCvE9VzNuX+N8zvN3bTW2B 8C/MdxohUfRvQVPNZ5dA7lB+VOcGCq3doTLPcD8KrxUdOTZJU+hcV+q0ju9V mKiLfnVfiUJOJYfLnO7UwIEAicUDZhQ6ePgSqeJsC7c03NoFfChUeP3FaXs8 f7wFE906IynU9FL7+RvdKyA/+fD0znQKsRb1NjmZe8JfKL3GcodC8WMnYiVt GXA/X6tvphXPg4ZPep9laODtQlPh6qXQS7esgxHXImE0/OLasHEKfeqL3iDB WQ39t680hqymI6PmWvXlRWM4xW+qw7GdjtbY7Xv3B/Nmsn/IfNIBOpL0jnki FH0d/pSU/2jHeRHtkTKUXU2D6i+Wa5P2YV+99R0qjE+DQSq94rc57quru/az 1jOh+4aRA6szgX5aFqgKDrpAsvLBqhhfAild+xZpM+wHN6XuKTVnEmiiXet+ ZW8VcKw4unpbEYG+hNqqhe3TAV2TH1c16gik6F2q2eKZAPf3DdS9ayPQq2Ne oy1fayAj78n3jAkC0df/Wb6A+7Hy1M8VsIZE96TVaq504dffta5vlzCJXv0u qWBvDwVr1f2r42VJlLfK8pklhxe8vcLqvk2PRCqyn+RrBRmQcK6w4KwNiSYL fDR+476WFq8zd3cj0Sqbi38mM6Oh6OWgTX8Qie5w1rjopFbD9cpcL5Ik0aL3 N/6/upZQ3Haf/8w93F+RjRXrTzFhrOX91/EOEtW48q0wDUuDZSWJaPEhEjmd 3P7UYuEMDNdcm/P/R6LQrRINZ5cYkOfszX6NB/NGWEV+moIuZJUkN26RoNDA dtE87dBQ8B6Y2NAL2DfDn851OVUB/+lCfT0jCn035Wlds+8oJDlEqfo6UOgk FB18cysJ1GaJNpELFKq3Y9PktmBAXOV017dkCi3Gp55yi7UDodbggvoqChnc dYy6jX13T//jkfqHuA+tP6NBrYugPCfpK/WaQqdqb9vlc/rA9hSTwv4FCj1E 7wJv766Bmtz714lVdMRcdlAwN6fBofMDTuQGOhp3VrzVWhoJDsHrzYpxXmp2 SRRsYqPBi1rTblDA60Wckum0pcGrvA7+9eoEasms7DjKvALaFpZBWwwJlGhw 8MaPyGp4emGjvL877o9N+SabtpvDTaJOwegqgbK56XYrs5jgJtzdtDWHQKop 3TdeuSTAXrM8hT8VBNL7xf2TCHAFL86R2CcvCDR9tmjIbgUTSiO2vLIbxrx9 4f7sdztjaITBWdZ5AsnRG7MUIoMhLvFi6lUpEnUJ2JU/cDkG4cfTjm3QIJHs ltqiS/cZkK7gcmfx/8+ryiodmnQ4BSevRojURJLoBV+uMjuTCaMDShMh6STK L1DcUulxHN7NLQwk3iKR5YZKKy+3ALDvkijse0yi1X5mQ2mh1bAkEyH+tJtE drray4c0NeHAPcVHRWMkep987dABrXiIIMI+BvzE/vjCzdJsGp/v9W9Y1wlR aNvTpO/XPOyhLf72jpz9FPqosfH2tWYmWN/Oek3TodCzVzKiyRevgG1i1i2Z 47g/WGqeyL88D1xZB5/zBGD/evN23hnzT/jd8gBGDIW0KuPH23V04Llk9p+z WRSyjGi4a7QpDI66P+7a/IxCw37RBzviTYCRqGvRNE2hXfM2syOICauqjYZP ctJRU5TThsS9TvDCzqv5pxwd2bzVqMjtZEKSudnCq0N09OjuePrtPgfI6NPL msZ5UOxYzpQWokFpeMOR80r/f39MxFHX2hayCjlWcJgRaFB4f974ABOOj9mf H3ci0BvODp4SRgxUSvvxFqUTyHJ8g/KrFQxQK635u7sA980764OCyjRIOhTu FzhGIJnhiwIaCsbANshuJbYaz/PXT0xmeJkw5OBRrqCL/Tt1h3THcSa0B9Te 1LIi0WnVzfulzplCtATX8dwbJLowBqsIz2PwV1umUu8uiS7y9n3KUmRA+bWB H3/6SfTd68Zft9sO8CnFzCfyL4kO3+WjCbYw4X3ggLYXF4UenGb/VHTAHVRv L21pVKNQXuMv/8DqGljZf87XzBDP+yiZbutRGqjys0T1JlEoSsLyQWOQKcis mdiVUYF9upQDYs/ifP+IcslpwusZS6U8O5IMY/s2igzPU+jiw/sB0S8ZQBd7 x16ygo48y5Ju9YXrQur4w5XZ+Pyyyvod3oP9NoV/vaWuHIHyAticdwXrgn7j VhUbNwKt5Ty1Y9+QHoS3ivAqJGLflBl4mJ+I/Swjx/x5Jz4+85Tb8Al+/rED 192GsL92qE6qfLsIVX/alvJ4SLSBe+nPxLYaWDfUN+onQaI/Rf8qBnZpwatD ftXdjiRa4i4fPbpsDd82Z8vdCyfR2lu9dRJDeP/lfak5kUqi6XUXbYVlQ6DK IIZ27xGJZidcXb74MMDXMPv1i9ck4rK9XxqrrAFfZA5pfRagUPqie5konxkc lxIKrtiH+47lYMw8KxOsZk2f8flRaHzG/TdfHhOWJsQuNkdTyL5I4XbR6zMw t0RbLV1HobodQmeOGldDZGyUGftTPO9oR26xZumAfox9Zc4k3j/uGU845mrg i4Kb4YU1OJ+GU4xOJ2sQrh9hZZGlo2avN/5cOM/c42e/VqrSkYD3DW7+TxHQ Rvt7pB+fb1n+ePlRLhrwd8Zb224jkIJb1sqJtzHQYPv9efl+nOcXv6Uqszxg RYiy/WdLAl0eSUN8HxhgYkwzlTyDeXlEdeaJvDa8Nh/mFS0m0L8G5WO2DcYg VyL2ubudQAve3RWOu5mQs5bLu3qKQIuuWyS4rjmBzcx4sQMnifgLiYRmnD/u kIIrOqIketLzMDMozQYMbTKLE+1IxB5VlKRpfQQEDz/RexlMovqnV8/HHGBA EVJOzKLj+VNvmCou7QiWRy0DIh+QqK/9fVwz5g83sk1tuItEXsbCgXsehkD/ m07X8yso5FwjOH34cg24GK9rrViP895v4vuomAYyXz5K0UwodG+7qM5nXVOY vx75VOgihYLv/LPuOc+Ed/q9wnypuF8grMtlszOsjRAQHazBPt9VPi+ayIRf D9jsX7dQKNxuJq3zjCE82Zonm8RGR2xc1Y/8MnWg3ONRPK8MHQWbVSSoDNaA ooDDrQZ8/ne5PDaTxX3NbZNhqrwT+/PfHueRVh2QEdbaKmFEoK7UnIvJexig vW3N5nRPAtUZGCYs/DsBTV7mehevEch97iEtAL9feyGRUfWbBNrv0bZm1wV3 eB+65f7DV3g+3f1qvRRcAzMS3OuOjRDohGX6umuYf9aqcdEKpUlU4aKkpfLI Em5u79u+W4tEng5K2Q7leH6JWzaIOZPo9bXDKMzUHV4su3Hejsb3V4wlLLsZ ICroL5qTiX05c31LpD4Nwv+5nm3uJdGm4b5pOpsBFDi7+6cs4v3hoPT4gSoT /JdcW2SFKaTRRb++/rkzHPiu2p2sQqE1gi0M0z4mpAxEPbI7in2zJEBWUdgZ Hmps6VgXSKHcSNkVIbPVsDYJQgvjKNRqHKT7LZgGvKZseiodFHIMSfi0gdsW RFP3Lr3/TCHoPt/GwPP33InAU4//Yl504zW+FxYD0StXBn9RwL5wZmHXUyEm rGtR//ZNnY64Qv9sUD2nAU6e2VN/8Ho4HMlNbtyKfUL93Qt1CQKJtGk0vgqq gJCqS5y/8PoE7vXT0C3Wh+vSu8hFRKD1W+Vb3t1JgbQzprcG8XodyhTZc7OK AW6bM076/3/91YTa97xPb8Kuns++NhcIlFvuKfIo+SQIpsTGbgsj0DuT4wpa B+jAfmbrfkgh0E4N19hjbZifT27uXJVHoKR41vdrdRyA9aSdU1U1gcIa1U16 7Hwh1LHyWOEjArUPz6fu0SmDkd0XqkNeE+hBz/JCyoNqEPcxbuf+SKDfOzpq 5uppoFmnrTK2QKApLpesH9gXk1hCCwpWkWjm/o1UH89qGDlZX17NT6KAq8Ex 4X2FwJg0ynHdSqKzLDkOg5QNFPvIJ3Ptw/up4ZHC6XfXIXaFWO9PnBe/aVlP 1l7clynGos/MSRQp+BjcHsTDDbXopUmcnwdFfDq9kRdAmmtTK9OPRCH+fG70 67fh9YcvieeukEhG6eibegN8vu70l7pcJ5HzL8bE32M0mLLZRztSRCKW5m3F ujsjQdO7PGGwlkS7T5oKWrBVwZWEQ4qNbSTSOLl9Y5xUGcze5u6MeItvr9H3 39FvBA4fhjky/7/+6iXtv7626WCotl7B8jeJwv4ZJa2LZ4IDFXWMZS2FXPs7 Ja2bMsH2H/fTeZzPqYnoso+W5wDtZq9/LEuh69bnPg8X5sFSt6i9kSqF9nyk sbfWMCH/ko71Fj0KBX5x21Vx0xLcpevM3ltTyLPPXaZAxR+kOw8VfHSl0OZm 5kruy+XQpLPTvR3n+TVHrPA6kWpQVj487RJPIVprDOcHS03I3HLmgQFBITvz pxsKA+Px/np9TbQU7w8eM95jm2ugWEr9n/I9/PyfdixMfM0Hhulqi2Wc/4iX 4xwqug4wGstfUj5IoT8tV5PlthCw/EDZsnCWQnqmmUKdmI+XW1sDwpcx/4Ra 1TG2hMJb5GvMz01H7rtV5m6WeQDRoBo6K05HfRPlH2pOFUGkikZZlSIdTZXk 7fibw4DoPXnBIXh/+A1+KGUVpYH+s9GnQtsJNKQtbup8IRTI03MCgQcI9DG2 tfG+uhcI7R1HMzoEUu+SrNt99Dac2lhxoug45uMd+w+vcWSAw3dbxRncH8u3 K7aKO9Dgyuof/eoBBBpjTOdr/AqH5KmlfzWxBNqlcvRCR0IVvDih1pKXjW93 3yhG0yuBHKb/t17cN1xSwpbhYWZgNiB5Q/EugYQLpy/t2J4Be/ffkUh7RqDz nlacj8Mw3xaIZGv24/0lwSgJMrwOGutdHgVNE6gxTNVD7I4zPK8gnz36Q6Bb GeyLch9uwqHNtKMK60g0sOdCzP1YzF8SEmfXi5Hoesb4Ttv1x4Bv1eKCigKJ 5j505HweDAL5O/A9Ug3Px9Xs95J2VIAHeaF7yIBEt5ovn/PeWQUZ5uvlbexJ pD/9sEx2px4s0KekTDz+v35XgVfs22sw3H4/KjHk/+tTUN++MxlQ3cpyYvoq 3i9DAosR0XQo/6Gw8XgOifO5PWvNQye4dFD+EU8lib68vHQgWjQHfl3i3Xys iUSn0sPP1GNeoWbfW5EvSMSYZntktPYiyCqJcXJ/IJG2u6SKq4oPTKxJs12c J9FV2ZZ1tQGloNrMJrxjJfYxoVGR3/erwVP3k0EgH4UEyz1zOZ9rwgu2SocB KQq9yTbrvDUYCyt79Vxi9mC/v8S7rbYAz4+bHWKNNMz3usvJAxzFMHNTtWYZ 9ymr4RzT3NgCBi4KPHByohBbjeDi5QeZ8M2//3Yv7levrNnt98owf6Z4xWRE UKh8U/u6ncOpcKnwi+Ag7tsg5z3OvbfOgtqcZeSefAqVaoBiSEA+jK1RPFPM wDzKIfsjdi8THjLVZojH+Pi3/7PHnzVhF01n4HU3fvwmS+c7D0Mhgt5EUxij kLLcPe0HeZXAsls6Jv0HhWL7JFmVqAow7D3erMNOR+Ll2/a/0dUHff+LxRGC dGT4hN+n52IyXDQI8OrA/e2r9iDI3oUBoQszlSr76ajwzhu2aLtcaEgcfNSE 94d1Z++WXtznnZEnOuSkcd6ouIHlT7mQFM9MVtmLj436N/+Nd4DjpZxfvmoS KMcgTXJSKweWIGzlI+wPjEXjaIlRJjjHBehUn8J5nps0WojE/DJ7YYeBD4Eu 1CQ9+LrvIpipP2o5H0Wgic78vwdUb8OUU9XlCxkEsrHxfv5TtwbWrtP/8Bn7 hViFWqFopQbI0+HflzsEIvoXS20Wo8FaX6mOfIL3a440bXG8Gk65acuc7MV8 l7LxYlVaMezWGGjVGifQYRu/o5EbzYBjr9fK7p8EKjq8jboVmwFjPI6/JrGf FAvJ3We6M2G4eYZzRIhEd6Yerr3omgxOP6TbTXaQKFYKho2n3GBK4A5NV4VE 5pZXp6zEb0HQsSMW09hnutWrA1f9YACf927pDdYk6r3ilVj17Qg8ca/jEXcl kfIqXeNh+XBYOTN9KzeQROE/flbwW1aBhpn/j+J4nOeiLzECz8shqYd15ARB ovZ2Tce8/SZQ/awyXK4U++f71Zwm9SlA+b03F2wkEV/cZSGbOwxIVeNuKX1O IiWrZ4tlnSQkzKbPtA2QqI390SdwdYJ8n4Y9bZ9J9Ns9WqXr5k3QDInfgpZJ ZPFor0x1EhMmLjI71bhxPj8HyZ3OPwEZ4e/5x8Xx/BfNY55iXgIJ1h28hYoU umzxxnn761LwOPRdLVqdQi9263t1zlRDW1Iz+/pjFLLYO6os+lsTZJ6PxUqe oBBz9aonws9jIGHLuqJBDwqNJKx8zXOiBro+GwVWhlBop1DHIebVInjrLhR2 8yqF9k8+Tj733AKm1gxLohwKVatpXGl9fx1YklkuO1VSSD9FdfNdzHPKM/e+ n22mkIA63z4Ph2j42r5t0+RLCnVcF/klOeUJNWlTPz5/oNATt6OsPNqFEOpf 5kF9pZCQ1Dn9SD0GyHRdJU+vpKOLMxIJW2M1MK99+6vHR0ctPg8/B6aHwmpW 68VBKTqSqPd8f+pFJYQLClV830NH9q3y3W5rKkHCAUnm4P0hKHdrdRvmz7b1 51rZ/v981ZzRiF+IBpSB3I3GQwTaJ/elfjVnBLy7+zDlkz6BuF3c6vNoVfB8 dqAx0ZZAZhfZJObXV4K1A+KXOU+gDsmGs8E6RrBH4lLSrssEepIbMybUcw06 M5QP/sZ++OBe4cSa1Uxg2Dxd20NhfrO4JZGcmAnKJ26tflhOIKP2z2TmyGkI 2sS6//wDAn1w+1PleCwPuKVUYuO6CGR/hPFJKpUJpz7McW17j/evFd8n7nBn sHg//6DmC4GyjI63lRj5Q7Lc07TqfwRSstERqxEvhRTFLYQnL4mumXGtLTha DQMhpq1IkkQ1RfzdBxx0oJmnQ0xyN4kay77FfUqKB3eLp4VNh0mkd7m2uPdl DThO3zB7ZUyipI73/Zeqb4Ho/nmlvJMkylo8/PJ+4gnY/FJUOfoiiVYINvTX bMqBxtvXTgdEkKjuevq6atz3kiqxT+TSSPS5qPfblq4L8ELQUt8on0Tp87GC yxe9gVZSuOpbDYkEKZPdauNFYBJ8eOJKC4lWpTr9jH5VA7fpVV8S35BILf++ RwaeZ21++TtMP+H+6twstm4xChSp89GyP0jUbPzm357Oati1KpSXj51C71eW t1QGFcMvcYGOOkEKHRbLX/0wyBLWxoaWvpSh0PCCUN9eKhNGbrvfP6tMocfj CT9/2DHBfE3B33ltCnGrfD4dXpEGvLU1J2Ys8Lye3Jby87ELpIhofrvlgnnK peqPr0c+2HYWl7zE/kzlZ4QvWTNhdn9aetAVCslIssjVG9uA8HBr6cb/v2/M InG0Xi8QrvZ0jUkXUehAYbFzSk8ZtEfYmM5jvx7MrjojgOeJYci9kS7s17Mq qHeM0gf3+jP0+30UCgm4opl75yqYFmckuU1RaHdJkG1tGAPCJ7NzEn5TyIlH o7hgKhd830t+kltLRycG+9VfnbMHdv6vFneF6UgrOTKsWZKC9xnXpxuxj58c CM8Xx+sT/KK5+vJBOqri8FnKnfcDi7uXnD/g/dETKSRlvh7zkLhQp9AeAo38 3JF3vdsc/CfEtH/QCJShKtAr/Oc66JhNmb4wIZBG2S+tvBtMmHpzxTz9JIHM rxjXZfqnQ9TITiOziwSy6JeLYRk+B79Ou1ofTyPQBhdblntfGaBey+z9lY99 JPJizat1mnA91LDqBYNAwJI3oygVCrM98xE3HxOI7t/0lTFRCVJdNjOe3QSS XqhdcDKphG0DGTqynwgk72klrxZ9FGR8B8jB7wSyenZCfqQzGVRjPI+1sZEo OV689JkaA07ymdq1C2IfuOXRb7QqBzjnVPed2EYi8ZG3R24Ln4KI7dUZ80dI 1Hm/OfHdQyYYRRyW+GKJfYD99aN5HTfYbbGZnfUsib7FFfMJnA6AtKCVd0oC 8O07H7ET2uXAKbL3YVwsiT4+rpsyhGoI0vZ84pRNIhGXAlxKOtC54eJJlWIS 7bOHqIdV8TD3XXt+sZ5EG09b66SL1cAhfRO7gnck+krbkPmMaQXhJR1kxTSJ DtX+vNxwkwAde8MivSUSTd5MFrqB+1k6Voxn8zoKFfIfODg9Gg6/0U/3GVEK mQuufPN50Av2rVlj6HqIQqMhHksuDQy4wxq1S9gA74fSQMl3MTQ46n/Mg8WO QjXRuT7eXmHw1l+6cPg8nufHIn03+VXBEZEm73uXKZS2P+DAhx/lEPNKXjkq kUK/G9Y2ubEYQrNg/pw2hflG8fJCVHEKcL8+uxqV4/0SxGU1eJcBnquDLxk9 oNDdFW4vZz5mgdnVzNqFLnysmWe5m3IBdVGvjzfnKGQfX5T1xIcJfHolnN4s mGeospx38XbASGJu28VLR7EsJ93c1vuB8Yn2Q2MSdCTjLbqjQKQMVhYplL/e RUdW1netRe9Vg8nT+a6r//PPq4pPN3hoEOe+TYdHlkAtB9RcDTrs4NarxLc3 VP//vJOUy88rl+DXzzeTE0cJlPYubbRqTTkIrdLmvmGN8/rk2sm6q9UwVGwo ucaVQK/5ZZ7/btOCgQ0HmPsDCZRenzd7XikOKpuyxHrjCcR375hDQHINPLSL GG8kCHS7k3331qd5cG4tz/LzUgL1JT7nsRSzh5zSn2ZXOwjErmxx1+z/9dNk f7NvkECObPI2px9FgYF/6eHrnwn09zVn45a7njBWsGfBkJtEtQUHHE5YMMD2 Rf3GHZvxvD30/HqmGA3OrvkYo7CTRD971ScXeSJBPzqy8yaQyFrjLfvdT1Vw poU9/e0xEi24zW34nVIKx7VX7ApxwD6dfGv9rXtmEFsXIe92gURWH3p+cOld B0PVIp+IMBLRDn3e+4piwuQ/zVTOFNwHxbt7WC9fhfvRD3eb3SRRyrmT32/e cIP8paII14ckersoPBChwYQtT9ry01+RqH/S3e7ZcSPw73bI3vWRRKMW9iXp 94Jh7ZvQ+fX/f76qMbyn7HYl7B2hpYuxUijqKzNohQE+3nuZK5ufQpcOWo0Y vjcE9yPX2XulKVSWa8gSkncNvNAgX8BeCt3y/WPupsEAkZ56rl5NCnG2zGol WN2EZXm/2O9mFHo2JGzwy8EBirY8Kn7jQ6GVtvfHzYeZ4HJ61dXYKDxfiZYb fj7B0K7R7/g7nUKqkccNP3R7wdvWlsGOO7gfprTaVapqICb7ssudJ9hHct2b jMs0oPPyW7WnvRQ6YtHzOm7vFZjOL5nQn6DQuiyu3Mdd1XDSRs1UlYOOnrqq cOc/NoPtrdWhdCE68g86HvMoIQN2fOXY+Xg7HX29mbs6E+d92bG3ykaFjlhi ts71kykQIy0v8BLn1zN9i5DGGhpwb7+pJyVDIEHijH3LQBqk/zIxtVYmkF/z F464pjNQKSdUxbQgkOyLsyudL2O/BNeDXc4Eejxv9LJqtRXs/lOzUtuPQHvf PdeK3xoIA44/c+KuEyhg6tL6lDeV8MZhZGqkiEDDM6MMer8eNN3bZcBTj/2Y J43lvGgytDZ7z1x/SqBXfe8b2AIZoFosqeU4SSDenVLVjqfsITnTOJdzLYlS pT5Uc+A821+IblgUJtEx3k8T4iUX4e4S9wltOeynGQ3iR+K9wcd3QOCTHolC B91Z3p6vgTenJLfvtyXR3rWHx3OnaWB3xXjTgfMkYtXmV/xYGgueNt3pmZdJ 9Gh8efyVeg1QzllLNhSJjG0SHB2+WUNGxOxNsXISCWs2t/n1XYeji34Ne+6T qBR49xkUM0FI8Cf3rU7M80ntgytTkuBdcl/g9BCJ/k36rtWbdgP1nDZqLwuF CFPv8q3hDCi1N0iy5cV8/PmE5ZYdGrC35UnDBwk8D12dcriqwyH5fMPdzF0U 8guWFV9XWAm3PT4o5CIKcUXs0w8wrYR3QssDq42xb5rN2KchQ2CRCM6nOVJo g9Btjt2W1wB1LhS9u0Chj8DsrXnBgO2crM8fXMP8MWS111/ZEb7qZ36NrqZQ bQuSOjvAhKUXfz0j/r8+6JAAJZB/CpLZ6y4NvaaQwqbpVWdwXze9mfiT9Y1C XyOPmm9yrgZVU++dlqx0FD5/deXZBQ1wl937xoWfjmg3m6I/xF6Be0WTzG5p Otq6oKBq86IaZn8keVXivJXPs4doY77iYJZqLing+fdGKdibQxOYpW12g+oE CuOPiXb/EQcNIZUHRwwJ1J7xcuuEUg28FdizWsODQBWda/8WNB6HK/KNLjtC CDT27th2+d5MmHF7fVwsmUDrBFwTA54zocCKR/FLDoFWFTpvtXobDiyMg+tr Kwm0TepD92VXD7iUeele1EsCNT29/jIgmgH5wf1HhD7g+fqjU5EQOAIntPer d80TKGZBPPXbhTDwmrRfvL2CRK4Up5iOdSWo39mglcKH/Y6ZvWz4qRysd372 Pr6FRDGq97b/sjSBTYK11fxKOI/Nz45uLEyBJBnusCENEm0/qxVKV2CCDd9u /uemJHK8TkXOOxAwtO3D/ienSLQm5iNsr3YB+U2B5h5RJNIN4ZF45ssEK6+O P3oZJCrSSTzqu1kfhgumnfVx1cdXvatwmAiC5X99+vmtJJJPOrcy7moV7PTP Vo3uITHf3bmx4Yc2CApP1PmMk+iApKeZ6NckMDpjLaLxi0RX/0HJBN5vjWvK EnqFKLSpgWdtR6MjmGxgOWd9APuaoEpQyhATrh5K+bxOl0Lx7+3mqtIvg9Th uX0fj1NIdHNigsTaC8AbkFLa+f//Vy4yRdYIMcBn7VbCI5ZCvtFWpPRmDXAL qv65N5tCJ6q/NapciYD6p5xC4sXYz1TzNaq2VUEj+trGf5dCRaxdvk3upcB/ 6q/d5DMK0XosG+LKzGHd918sjH4KSdnEok9G6XC3ImxvwgyF1ITfnlm4xoSH Wj3yMUsUWrazvJPRlAZxTux+Yuvo6B7v+cymtc6QfnB7EUOejppMSXnZHJx3 9dIauhodndde/WCthAlImTytncf5nPy2sbFflAarzjx149iN+9LJ5ktLuTG4 D1FLPcYEsp5T6ClRYYL1QNJHSy8CDUle1bA54QwsLm1tev9fP3PsWP8XPyb0 JUyZLOcRqERg2860I8fAcN58bXMNfjyTl2LqE5cgb7t3rOgozvOWgILoN1qg nHlt+sM3Aq1Yv7z6eHcCnNL8damWFft60NcUvTM18H7m8bnTMiQKGzk6Xl/h AOzp43e+aWPUG/92Ihnz9WycrvigBYk8pyKk394NhrGnJit+upDo7nFWiRMS PuCxvL7oUgyJch4rfpp1qAHv5a0Np7NIlP02/G18gyYM7DczQbdJ1NPp1nq+ /AoIM3/fn64j0Z+GgK8l4tUgGFgpkN5HokGR9rjIN2bwrKPinPEfEi1fL1RZ 3YHPf6pxBQ8nhSz1q3r38CWDvMQq0S8iFAr0igrPT/WArC98PXYHKeQh96v2 rjETSh84PxbXp9C1Q6/qIiZ0sN+sGvliQ6Fpfocr8+KXwZ61Ntk3AefxysU/ a311IM2b0lcso9BMXsRQLgsDIi90sS92Uuj4ZIeFV74TiLubid36gp/P6Lv9 xhYmcKyppwX+o9BGvVnWcPCE1vH0Q1I8dBSnJGATv/UitHjWlT3cSUdDPKtC pp7WwMzlo4VX8PoPHJwIVxGgwZQo+xr+HdjPRwtYvMM8QVIU/OJVCOTpl5eV tcYX1BN/38m1IhAhPLy6JKkGJF50F/4+S6DmmFW7E6tpUM2VqXPwEoEWvb3Z T5hFQ475s6THcQT6xjr5IousBrZhjYBXJQQykZ0pFRs+DlPzPQ3XnhOoc3dy Y2MbEyK/8+5X+/969ZtZnk3tuQZtLbHhcTOY71KmN46SrrDeqUFcnQv3DYdC hRMnE6hfbkhMHM+P3ZeHR4o0QI3d/b6SIomOpifP6a4Ng18GaxTPn8B+XbV1 tUqrEWSE11yOCSVRpMS3N3VqTDD4KBXwJ5lEcSf/rRg5mwl31P2lLXJJ9GJN 0B2BFy7QedfW2K6ZRFE8Z9wrSpgwbG0WkvWSREE6Z0uGjuF5wfrAZPMIibY4 zF9LTg+AV+pVZXEbKASLf0T8JXQhRya/pm8LhTJGQ+C2ZhI0xPPfC1WiUMVc TEtiRA38GD8u/tuUQrYuKh+4+WzA0PCYbI83zsvNe0ccBjHvLTVwJkdSyF9S u8nfLA5u+pxunE6jUOzn1wMWWzzA/syiVCMTzw/z5PEjSQzYWjR4+3YrhRhO US/EcN+wOPAmdvbgeaLvWCfQFAH7pe4IqI1T6IKNXPf21io4vkkv7vBqOhK8 /04yRNIYOjc3Gz3dRkcK4hMdGiuY0CR7suroATpa0WOTGpiQDVJ9kTNtOC9X 5WM409lpsJ7G+lV3H4F+s3cIGmmfgh7mc6tGcwJxm33QOPiECTKnvzY3nSZQ N7vnyLmI88D+nS9D15dAa/f2bzYZ8oXRk2Y8wZmYd8bWUyzbq8FDeaPzRCGB kmY2HZaTPgK+igcK/tXi/B1o3i6gGQ+8q81MbrQRKH7460Pl5hpg/liOMp0g 0L/9OVec7x2Hu6Z9z39zkGjAvk/eDPtlTpbKx8+bsH/2ZjTuISLg6mJWmr4s 7oPa8OGztAuwOLJeeeIoic5HC3Xv12WAt9sOma02JLrYu9Yo9AAN+P5E8su5 kWiT7IGw5bwoaMgbJokgElXyMco+WFRDhvixL3YkfjzfVQ3cChbgXScXI32P ROp8dt/eaTOh53b4ZFEHiV5a+56WMs0AxoP9e98Nkqj84OjbgXsu0Mwj66j6 j0SCYx5JrpuZcPRsmKIBD+admwfK94sZgHPea5fRzThPQaZXdW+FwDqLaWYq UGibnoEWWVcFr16/v7DOiEKue0GFb6UubPDds3GPA4X2/NkYG3kqEcZ+hWwf 8KRQ8GKa3MPtDGBRS5KpSqbQe/HpNarctnBp9tl+nyrsB4dNbge/Z0LWkF2N 70MKbVZjKesz94OHE1+efnxFoYNWSERkmzfO87N9xAKFxvknp1951MCu9eHO 9qvoyNBQ/wvFT4PQCP5Jqw10dHkr75Ok9giILhnXLfrfF3eNSoax0eCMUzzb Csw/OmGOz99vpMHuHwFLz/+//iBfwR5GTTS0kyrjHw0IdO+9wd0TR6pB+GB9 4l53Ajnf+KG4gt8MhlawtXNeJdAt6NzGDGNCubUbMUIn0LtpFIVmr8KNWM+E xgoCWcXzvDircQ5aBqy2xLwgUEfT7y9u0kxg3TVWvHmYQIbSpTnsRWbQn8If 0jyH/VSrXkNE/jJkW+aQ+lIkelgex/H+tQEE33dN66JhXg7beEI8jQFBOyf3 MZ3wvMkKuvDS3gm8HaPtvCNJZC90Q4ADz9975iUfDqbjeUA7XCyhYg9v7XOt DG+RCIT5L8Va+cP2B4nCGY9J5DXMaZbbXg0znDICcd0kco9hVNETNWBWR/vC qTESuUjrfzkvGQfqq0ZfKP8kEdvzMt+oOzVgzf9Bvm0jhYb2L07enLCFbPv9 /Cf3U0g/tsWoqpoJX6UIn39HKNRQsFAZ0BQHwksv28ctKZSged93KswN7uSJ y7/wp9CZtTJWmi8ZsDt3QMg3hkLN4Z8NNOP0gFZ+yEQmi0I9ljJxLNahUHXB LmegnULlRrUB09nGsFohwTFomkIpNa1mohJMCJXkL5fmpKPAv8RaYYuToHp2 +GmdHB2Nb1RUP/mWCfdX769JOkRHi3xcbH9/n4JGdqmrkzgPG/wSX5QK0oCz 23nnDiUCmR5hhRXT1iDVvq/kqSmB5m+MNQl3M6GogqUrz4lAbw9YFbILJsDX U9wzp9IJ1Pup8X3GAcyvH0JtF24R6LmcyL/h1TQovVq/+sAYgS78O4kqDIyA 9/nElj52Eu0zf9HBOsOAf3eDfGd1SFQciMr7LzKhOlBFaoUVif5+0ilc+cAS IpMa3jjeIBFvY8r+yDkDaFNO3cJxl0RDij/GLi3VwCmxb/m1/Xj9trOf7ig4 Aa2zM5+0/pLoFb3EX+n/6z0HT7orclHo57x7g0SCF7yS+vfYX41CBQeqEgc/ 10CTbt4NAUMKob26bOoeNKjMudmfmoR9d3hCZeyyCcTs3vfQuIJCkz6b3gTr M+H1otgBuyYKGTes/3BKPAXs26/ezpmn0Adhm3tHfzFANJF847aCjjQWqhn7 dhpAA3/Wr0x8ftkON4dv4aSBbJPOlbVyBBoJ0O4vVTIAIupJ9kY3Aik029Qb XDoK9+XOlE4kEMjnaI3pxAkGHHcR+pLQSaA589ENg6+Y0JLyx1NxCPPe22nq epsfNE4VPznBQ6KKpzPhQq41IFrE/mWvBInkCr+J1hlrQoP64u5rjiQSu2Wl F0RaAftX4nxwOPbVQo6o5z1MiBJ1KRNJJdGMdDKvhWU4BKl9ZwY8IpG2q9Pl B7cY4Kyk1n7tNb5/cVzX79OakLFD9/xtATx/ZHyWOTlNQfb7rTMX9lFoRQ5b e+4IA1YuKsu99qXQje41D3cymVDSqccXEU2hk1npM90K7mCyNfn6+1oKFSbz qGtT1TCdILb1Udv/36cRirQ9fwTo23Lv2k5SaFHrQ19dQw24kTtFldbQUQNR mxy2wwoiW4y4mnfQ0be3Kk5kMxPUs/Sr3VTpyDfr7dnvq67ArMdrtT58vmGp 7Pq7dTh/AY/ixLYR6PGRL5Ub/sbDpopcxrn9BDKPc1gXKOIOcblOHBWWBBql Je9Yx86Em8KjjEEXAjXA6otjozqgGl/mMXibQO7EaJDvRyMIDkqPzmgn0Js9 Yx309Ux4YKfJ6jFFoEdbDZy2EifBuf+pjygn9rNDeWMlL5kgrvv6Gpsonlfs 3XO7eBxB2W6TrK4d7i/nGnfXw9qwfUN7YkowiTo0ts2FrmVAQfnHNdZ0Ep0+ 7sVMsHQAKdWWGfSARFMWH8NqMH/YhLvuze3Cj7/hviqHdzg07nIZUFyBeeP4 Qvum2hrgNts067oe95N4PEcIosGonajOKhOcb7e/sP2ECWTnuezo86LQkl57 vK0pE4z6Ai50pmDf39DwO3PdaXArOVl2vYZC+xqhqTWPCScekYrJLdjn12+D WwImoJnu/OsYGx2duO3ceDrsCAgF7k57uZWORn7FfN9aUgNmNOUbdfj834nh 5uPFvFPA3hnxU5FAJ5k1xOqSI1DsuC15+BiBBim7jNxVDMiYKw419sR9cet0 8CMXe1jqzR1XvEYgRf2dtv//vTfnePWDP7kECpC7x++X5wV7TG5YRrwi0P6M d7xh9TWg2fFilHeEQLNGHl+41WkgvFpV/5Q0iXbONfY4XLMAKqny/GdN7KND j++FZzMBSfSp9J3Gx5ubErZ+cIORFx4G56JJFCF1V8T1DwO+J30RsM0kEWPg 9YfqeRp4jXI7hPdiv/0WpPuhSA9Odrw4fWyRRBqOXJPDm5iw+Z//zNgmzIvA cWm88jSsbWt7YKJCIdmA8uxu3N9yFjGnhY9S6I1ik5SunSu4GrIrdFzC8/9Z IPeznTVQf/H85rNxFNqtwX+EJkcDPwtS5Mdz7B/7FFi3FlqDxx6/1cRn7JP7 H/b8ec2EkYWFr1F/8bw3Pd42fzse5rg8oysV6MgkdPFxOfbBQ76SjEp1OiqQ Dk4Y7dGEONJzeBGvRwIjXn9gCw3CtywaWWN/VDec91P7zYDw8R8hj1MIpFU7 KlFdwISCn5G8YdgXlXdszrPntYAPnSO30z8SKPeaoaMQpybo6K084ot9b2H3 LoPBEdwnSQZiZtj3Zqxa3bklosDzXWjN2HUSCaM79mZHNCAhaljvzW+c99ea NQeqmPBsZKNwryrmKfVx2dOxTNhO9vLk6lHoxw0Tn21JRnBUbEntSzyFvkmN OiQpawN3ppaqDPapT0cEh2r7mLBqAoaWlynEdLnrPI15SNTb52zGdvx+lrh3 Rjb5QdPJTa4Xsf9c85Oc58PzNimt9TMf9pmjZ242JBRj/j0czGCuw33SddnE Gfvf/YRWs0wxEnWWdw3SLhyBRpn6FZzYR37uHVAIXWbAyRvKB3qaMH9oNxx+ 9gzvd+lsNxHsG7OpLXKbJ8+ClOazvyuxX9AV79SyPtGGm04CUxbYFzQiD4Zx 4PtL1adqKWEf2NM4MKI7wYCFci69LdgHjB8/TTLOpkGOMumoh/l+o4dT2Ks6 Brgr7X7bgtdLuX9lUSbms6nfMuWA+f298Z2j6v1MaP25L0oF87tNywqaGva/ Q7lVW1wxn//4NtiRoKYFL3aTJ70wbzsKyK3LorAvKKT+dMG8/dNLLPHCSCwc zJJvPYv5+ri++6w/nu80T4WthDWJUKBl2NluDeC4zuZBNpLo/rzxMhsrE8Kf WNPuLZNoMiPrToctE7LdbwQ/5sa+JLKttr7HDPSrjBqTjlHIVHdnUHW3NhwC Z+uZ/39vVJdzoy/2cZdPiWZzzRQq7Z0f0YwNBfk5jpUjK+moorxt6poSDd6w pe3Lx+/39wN0JRz7y/WG36cj5AlUdXGAuXMnDSyekysjkjBfzrSU7zjKhDMh uhZrMD9yRTGOljsygRHjapv3HvOH1qOvDpjvrrMlfPgRQaL3K1bMheG8eBzJ flOTRqKnR/I4ftm5QHu368p1mO9g+EH12ks0UGc1nfykTCGpkLCDholMWFs/ Om2EeeyjbGj9BlEmXHU7YLl4hUJdcgz/mTcmUOa63v/bFIUyJez8UM//vzfT +E4V81XLd9NZ+4943rst7WHHfOXwaadttqgnKPMk/9PH/FSXlrPu2j0meH86 lDeUhvslzPyKJsGAC/oiwr6Yl3J42eTe2tJAuri03gjzkWXG7KlN2Qw47JXJ 7on56FLWoMyuXMx3IWqS/sdJVOP+1++Xzkm4UiD2pG0J768QhvMfPG96IlY9 KFiH/ePs90GDTYGguo1/LNOAwr6GorjwPD4a3jXaVk6h1AkD04drmGC4ENoq ifml5e4h74VDTBByk/acY8HzoupwbaiqGbB7aI2m4vU51yKYcpCLBtYb68YT ZAnkZDy1+ZGRGRwS4rRPdsV8zzLqlfDtCCyt4ZDixrzCar1n0egDfr/ToVLV gwTadTlzevhMKBw65LCqYjOJZHzU+KumMQ9l3JxnwTyiZeQYJdDEhP3cFjmp KST6FTjHtxwXA7xiXcTXhyTiqWZRsMDzWfNveO0GzCOrNg219hfpQGd2s9r3 vRSK2GcaZZLJAAvuv1OmmD/aXZ8bXMf8tya70Igd80dwrc5warcP1KcatB7C vNHytXlvoLUWWPTLi2tgnihPErVsz2ECNXbPdg/mAZ9Grij3I0yglW3zt8A8 cKrvMeup70YgtTmqfiPuf/O+19RcOwMC6xM509aS6MtIsa0/fr/qg/IFISIk +i1Wu+qOwjlgdRTb0WRLoqUuvt9GNppwZxP1uv4+5lOPyj+y7UxQ1a+S3IL7 XH5f1TbeXTFgb6WkPvr/73llVndZrafBbJ3CpBXu6y1PJf1GBZmwa2mpi+f/ fjbw3z3UygSF9o6uNbifjVyOv1z+aA3I+3Pqa1Y6ckopTb51VQtyiJFoBl4/ FtOKXZx4/d/aqY0G4D7+WxpZH1euBd43VSUKkgnE/nPeexXOj1TfsK8P7tsz XZ/5OcQD4dtWi4y0DwTSC3mns6tEAzKsT/w8jftUuSTYt/8sEzh8fF7ORJHI aMDq20d1JhSGDnG8ySDRM05p/TvvtOBtdjp6+otEh4hymw0vGFB+fjSt5wDu v0+Zl+m43+10E2+n6lIo2301q0isN2yEp3YzsRRinQ3Nd8Y+KnBhSYwf999J Nf4k8XomPJTWz9yD+05if9fDRi8mEO/GlLbjvpvnQgUuAkfBNkuzyNQEr5/8 99xUDyYEjWWtf5VKIEG1YpMfB5mwTsooPTCfQCf0zrWpTh2Bx0PPZS4eIdFN GZfZOexHEle0Njtbkug8p6Yaj6EP+Es9axrNItEngniXlaQNawVDYjv/kEhg rIFTdQjPtyWulNGDFGrNtgu5t44Je0a+XyL0cf9v3m7UfUUTFLWcWKTnKLQm cLiw8yYTuGX3FP78RyHu7UELOiucoeFxRtG1HdiXupQvf9FxhmC1lNGwc9iv zEWWx1g0QfvY+BXeDgKFpYU+4BtgQvCpDfJ54pgX6+X3HduF+WSobJEtjETG 7pqiWtifVAfCz402k8im5+cLnWAmrLzGnbLxFYnqpFcm3T1mCUsHYs+Z+1DI 0GQoPg6ff4vcMo5dTygkb/TmUWIIDf5wfIIj23FeOF7GGSImvAl+y9KB8yOG dPw7sc+1eHqxqVgQaGZUOf53IRMiX5UvH3Em0HnJ5mKH/U5Q4COwP2INieJW uQum4PkbyjbceVEY82rXwQOj54Ig/8zWbeU2JFphX8wtIkKD4bfGuSX3SHTj PXvHWfx6l5xcht7wUEhwgxj/kJ023CF3CyxXUcg/YYVOEn697b0KfH8fUojj yn6WmCgPUN7zp/3dKjrqmUsVenWfBqrGB+1L8eu1vYo6HuK8H1gneitYgUAs dydoZe00cN7vdi3tKoGuLh5T1Cxjglmvw+KNYQItLEoMsVYZgNG90L75SBLl Nw5Wb8P8y3mqcfZROolqZQ+sevLTFLhow9s4ekjEcsV4w7cNWvCjTgSGsO/n FncqDuC+e90d+u4r9nePkws3Rya1wHGWXY91Buf7/fuRl/Y4Lyas9crydMS7 5DHE+pAJ9nkXlDaq0ZHc/Q32bVtsgDeq30LbjECTiWwy7JivenzHKM8CAiWU bU+YSqbB78/SSY6rse8aKFlxKmF+YTs55qZLopJLfnu6VDEf+u3bEof9eead SX3AViNg3d/I+gj7sFGgoucW7GMHArrE72Af3nTMReS8xxnQdNtjnIr9dzcP z7X7lzSgZTib/g77Llx9K0ePwPOgXFBlEvts9wan/Tad2vD7TJ9MDPZX1dmh WLnH2lDdsr2Rs4tAwkcsbvTUMYFf1fdBMfZTw6gt+YnXPWFpQ9m7Buyj36Tu Nbvt0IYRg8zJP3jef2zIO9eI399rWf+GPOyf5w+Y1artuARXzv4c4HlDIv2Q MwUGgdjHP3q6mvhRSNhMXmFlEhP0V829/ofnufHgoT3mlqegqsx7SV2Wjool 3bg6epkwtPfKnu/YB4vb7/M8/xcKK2Ny5k+dIZDHQR+nCgNNeNt3y1TgGYGU +sKbKwyx//xlG87HvqbpNdHpz2DCMiPgcjz2tcGl5K633haQYD3F1ob965hS tUouzl9Q3dYjm///fG9OzJuodYHQZPiPXMC+FZ1exTKsrgE6Sblnj1+k0Ppv 332bophQZN0WJ8nA/Dc4o8iO92dy4/lEwccUWs3SL3h821HgmIitaMR57boi Y26G8xrJtaaiFvuPVg23ENt/A/b3ZG40czQtmuPAfyknp3dNhv2UEm/jXmB/ R2iVcvxdfmD/6hDjkxLXuQ6cG1Y7m+3fau88l0H5CbD/YuD+2uQcB7D9+J+7 +yqwv1Ly7L/CnYit9mlKa1+dA/ZP9l9JDuQD1o+/kpoVFwL7JzMy3p2qPZto H71C8OFTYH/ENTpAr/WHk/3Jzx8/KL+b56Dob1JtB4yvO4IxJpZA92oyTLc9 0eNkb+N85MtfIH/ODoPmlepA+14KMjIoAPMbFIiJvfv3H1T/QAEArDhV5w== "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl2Xf8jfUfxvGv8bXKlr03yd57R1ZWZJMZ2ZFZVFaJqBQKZVNG2S1FQyoK iUoLSTTs/Xu+/f44j8/7uq7XdZ/jfM+57899FOg1pM3gpAkJCUk8RqX6//po qv/PFcwjrR0TExLeSpmQkDRZQsKI5AkJn6dISHgeeNV8P/9BB9gjy8//XKcY fgJ/A78g5jH+PfjyjrWZvlN2gf7c2lfvXXwfvf7yOuYX+Yd109FN8Yv0u+Nr 0d/TZeTF5IetL+uf1Zmnn8Hal/e07D/rRVlz3WuyuXqnzB87TkX+DGx5/gjH 7GB+E5+En5sejv0MOxvbhL5Ct5J3dNzj1s9x+eSf6XeVF9Ufz18vL4AdLSul u8l8B/+8uY/ODlxvnW50Uew83hneS7yn6At0M92r9BzdP8wfYSvwp+PK8R+w rnXMBF4uzz0M9yluFu5e+jLdUt7B8X63fobLK/9UpYu8iP44/rr4o9P58aPk d+uXo9+h08jP0Z9Ze+tv13kIXtv6Au873Sa41/S64orQL+H+ir8d7kn6PH2f /Aq9M/729DR5Wfo5+gHMp7w8mE94b9H5HPNRuqT8P4+H5Nt0eskPye+Vvyrv IjtsLu21FOa/iDsdrw03mT5HN8Vdpp/HnTR/GP8+/lRcGf4t3FDZJ7KZskvm Fo7Xnv9JfA74u3GF8WP5b/LzYkbyS+DfNqfm/2vuhd+K64mvZZ3LP4hP6/1s jFuo0xlXk/6OvkdeSP6d9QXdP6Oj20aePr4L/Enyf63/yZvoX4rvlXy2/gn6 A8fbIS8rn6JTWt7euoZ3U3cIbjfuWVw7end8XuhduOK8fzx68rbo9OAdwDTS WYDpJDtkLuVYBflzcadwc3Dp4jPMf4L/T/z7ZffqXJQV9fpm6R2n33eM7fIy 8qd17pEPl7czr+bf0M9JD8bvwj+Db0xfpJvL28p/s+7SzxnfW/1CumN4a2V5 cCP4xfQ2mlPx/zb3wG/Gdcc/SBfAzuH9wXued8HjPX5p3lO8UvR1zCOO8bHj zZC1oT+W54jvn3wNnVs+nC4q32BO6fnOmrvjNjlON9y3uIay+biOsoPmu3H5 +c/jTuJm4x6P945ujDsf3wfc7+Z3de7hP4m7m9/Wukr/Gn4Q5iPMdMwFczN+ a/5H+Oz8nfiC+Mf4q/m3rLlww2RFdMp6b9fTKfhn6E+t3XTf0emq209eM/7G /G/076Qb4F/R74CvQR+gS8rzyQ9ZZ+uf0JmlnzbOEbyJsr/5jfTO8XfolqIn y0vSV+UDHWenfJrsfnqnPFt8R+UFcKMdZ1V8PnBD+YVx68yJ/L/Mn1i76ryN 7aLT12urEX9f/n69O+j6+Jd1H8BXp7+lS8jzyg9aZ+kf13lOv7X8zjjP8CfE 64+/rbyh/n/ymbq/mbc71t38SdgS/CvYh2UfyqbKWtEfyrPG9zM+r7zTHl14 G3U6x3eUzoN7jvc7byZvPH2GbqD3L70NU5J+Ql6cviwf4Hk+kE+RnTff5zW2 5H+Auyu+b7iVdA7ZELog7i1zctyf5s64DY7XCVc9Pof8ffh6mHn4dphvzMX5 ufkz8b/hnsXfEec2/jj+X/z6+H/4z+J/NW/V3SYvIXscW0w2zHvaxrySfyle F90f/z7+aXwj+hzdVN5C/qv1ff0s8vf0O8e1SX8Uf4X8pjU7frC8gP6b5mS8 U+ZOeuuxD8Z3hs6Ff5b3K+8Z3lj6NF1P9296C6Y4PVFeNP7+1hWxX8D1c9z3 cE/FNcjchN+c/4v1PZ3M8T3V6eT15dN7lL9cfsOaDf+IPL9uGflaOin/D3p3 7JP01+l01O8jrxbfHf7X+mnouviX9Nvg95uLyXLKntH7BTtDbwz9J10Xd5be jC1GT5AXiWsv3QzzLi8TZgcvH++kR0feW7gOvK8wdTzHi5jWsn3mop4vB38G 7mfcdNxj9Cm6Du4M/QzuF/Om2MPwx+MKx3kV11f2rmyy7F/zvY53H38HLmN8 f3DL6KyyQXRe3BpzEtwJcwfcm473AK5qfDf5X+JrY17A34/52lwkPgv8A9bp Osew03Tu9x6miesZf7T8bLz38tq6f8mLyGfo/0y/41hb5UXk43QKyYfK7zcv jz2bfna6D34HflJcM82NZU1l2/Uy8LfpLaXvkg2k8+COx/5Gvtax2sv3ymvJ 58pbyb4yF47PC38a7ifcVFzquG7xR/FP8mvhT8cexOuYrnOMflt/S+x75GPx BeVD5K3My2LfppuN7o3fjn8C35D+m24kbyL/2bpNP318d/Xz6o7kvSG7bs2C fViWW3e1OYH3u7m9zhpsO9YX2JqyObiWsqz0VPmP8inyPz028gvxxvAKxHUv 9qi4rbx0elt4r9OZHWcAnUu+ynzL/FvsW3Crddvi9uBqyJ6XtZB9aS7kdd3F n4L7Afd03LvQJ+iauFP0NNxP5g06BfmP4fLzW1qXxv4K/xBmG2Yi5qy5Ib8x fws+LX8zPg9+BH8JPxOmPz8nfqX5pvlX867Yt+iswrbR6e19rxLn+Lhn0EtN V8fPxjfHV6P30gXjPZd/G/cu+kd1ntJvJU8Vewv+yLhGWI/La+j/IZ+q+6N5 fexz+KOx+fgT4vyK38y7M76rvMV0Rnw/Oof8l9jnyFfqtJZXjnN93C/gquFm 4ZphvjAX4Gfmf2N9SucI9sl4D72+lLF/4I+Ia0N8TuTVdU/G9U8+Rf8Hep1j bY69kHyUTl75YHkL8xuxj4zzAt0LvxU/Hn/G3EDWULZJ74743uotojPI+tLZ cT97tJavcKz75ffRmTBP8r7nTY69Z+wn6Wo6J+J+A5OPflSeh/5H3tMxt8jH yf4y1/fcDfjv4NLEdw/3Gp1e1ofOhlthvmE+FnsZ3HLHa4X7FFdV9pysqWyP Ob/jZeRPxh3GTcKliD0Mf1hcA/lV8cf5T+OPmt/UzcsficvNb259Pfa6+B6Y zZixmAbeu9N0PVl92THr23qp5RtjLyzPrTuc/6r8mjUdvrc8a+yH5cvp6/RP 9MfyVvrLdFrqPySvFNdT/if6qeKzjZ+JbxL38uZ8sgyySXrfYZ/Q+91jbex5 4rcDXi76LKY7fpPuGNmf5rq69fgbcani+4rLhR/GX8i/ak2Le0h2V+yTPf8y +hr9I/1R7Id0l+q00O0lrxjXTP5u/ZR0Zfyz+HvxVenP6Lzy9PL9cU+jf0jn cf3E2K/xhsa1n18lzklxn65zxLzGMXLzh+NyxnWSrovdwEsZ30leFt4PHi14 b+Ca83ZhKjnGM5jGsnT04/KD8olxLo/zM105zilxPcd+b14d+xr+MFwO/hlc N9k7stGyU+Y6Xm8d/npcivjO4RbEXl7Wi86MW2q+aj5qbo573fGa4SrE9V7/ Y3xFzAxMo7hPMOeJ954/EX8ANwGfPPaS/Pjx6Bi/Ev6XuAfxvk7WOUyv0t8U exj5UHx2+SPyZuYlsZeP6ybdFf82fhS+Pv0HXVteW/6TdZ1+ovwt/Y7ynPpD +fPlV6x34HvKM+m/Yb5iPhL7IL0l2Pv0GtJ34ifwvuWNj9cSx6cr4n+mJ+l+ Z16JzcEfgssW5xPrYs9zGp/F83fBbcQ9iqtHn6RryWvJf7S+pZs8vru6HeQ5 9IfwX5FftqbB95BnjHsj+ev0Zfp7emfsmfQX6zTVLx97G95HuhVw03EN4h7I nDv+7fzx+G9w4/CD4jXQFeKcRK/AZqcHy7PSI+N3CMybvGSYtbyX49rkeN3p DPLDHk3li3SayHfKy8unyevHXtacK/4d/HG4/fEbCW4g/QNdPs4h9BO4Q+bl Otn4j+Du4je1Lor7EnxnzAbMCMwJc01+Df5afNL4nuGz4wfz58V5B9ONnx6/ xHzJ/J25Cf413L34crGfwn+IT+H9LYebiquHq0LvonPKU8v3Wcfq7ovfFnRb yJPFvQT/4bhvsB6Vl4vzTNyfyh/XP0gvc7x35Fnlg3SyyE/pdJKvlw+Pe096 jTxJfIflL8W5SN6VTic/FHsi+av6jeUfyMvKp8jrxnnYnMNzpOJ/bR2D/Tru 8+Na4LUkjfsJ/oC4L7AekZfV/UGeXz5R/wC91LHejv2SfKBO5visyJuYX4t9 cuzD6Afx6/DDYh9rriGrJludLC5WvtOWF+N9lXWh08bvHB6N5Qsdq5G8Dp0S 8xjvq7if5x31eIOfhfcwLxN9EtPRcd5ynKFxTqZXyW/FfaP8BTpR3ll+p3yx +aL5QOxvcAtwDXHv48rInpbVjmuBObvXnYI/Gvdl3Efi+tPf02Xi/BD7JNy3 5td1MvMH4DLy77W+Gvck+A6YNzFDML+bq/Or8Ffib8Z9I/4B71s28yOyubJL 1uTYTnp3xG8G8kX0Bfpb+sPY0+jP12mg31NeNvbNcY8Z/2a6NP4pfC18ZXon nU2eKP8q7hH098b9p34/3mG6dJxD6CWx/6H7yzPQx+UP6K+VD47j0SvkN+Je R57VOsgx5/CT4R7EpcG9Zj5v/sb8QeyFdF7B1tfp4TWViT03/1295PQ9+Cfx NfGV6A/prPFeyL+0Pqr/Rdxr6DeL/2uIe1F+37jHtH4nv0f/sHy87jfmxY6V kd8Pmz72E9j2sjWyR+J56OXy63H/E/dQce8c1xHey7x6vBp0MtxI3p7Yx8f9 N32ILhXnD3qcY+43L8Jm4PfFpeP/hmsnWy0bJPvNXM1rrchfhrsW9xG45+mk so64VLhXzefM++IagZuHq4srHXt7/R34UpjJmOrx/prv4iflj8B/Hnu1hNiI +Nvxe/MP8u/GH2KPxe8zv6a7MfYwsj7YtHEejt+dzQv5v8b9Ct0Wvwo/MPYp 9K90VXmFOGdbl+pfjb24fnv5XeaB/Nnyi9Yk+A76KfUXmv8zfx3H0nsJW0ev Gp0EP5z3WezdYt9IH6BL4g/Sr8aeh+4tv5NuZF3g+L/g2jjuStzDcX9irsIv zz8a96Y6V2Lvq9PO68tifpg/S34hZWxIvE+6KXRLyhfQ/9Jf0e/Hvkj/RZ3a 0O7xWY17GP72+MzTd+Mn4asGb84Sx5QN0/s09huxp4x7NLpEnIPohdi09EPy O+gBdDnM67zLsceJP1/cq3rU5r3Aq8XbhinpOZ5wnCqy98yZPd8t81DcJ7Ff iPNC3HPRxeO8QY/BfW1eEHsZfi9cGv7PuNayFbL+cT9krux4ZflLcJdi/4J7 jr5Ft8clx83H/WPea67Fn4uriSsV90z6W/ElMI9jKmPeNWfi3zTvtQ7R2R3X 5tgjeQ9vydvze+j9Yd0vLxbnD3k++WPyr+j5+hti7yLvqZ9a/rC8oXk+/1jc q8ZvMfjl+H74Y+ZKsjKyxXoXYw+hN5O+SbfDJYv71djf0HPkNeRb5MV1J8or yXaYMzrODfNg3K44b+Nu8tvxu+NPWvfJiursl+X1WkbLv6Rf0Vsfex95j8Tb /4WWMCB+Kze/wv8p7k3j9xj8MnxffB36J7qivLT8iHWR/oW49upntg7gPSu7 wW+rl1TvFZ2/zXvMNfjP46rjK9LXPR7hfRznbt6+2MfxUvO6J97+ySbhR8dr 6RhLHaNP3DPRr8nPx/VN/gx9nW4jTyJ/GXvW/HnsW/izcdVwm3HFZBNkFWTb zRk8wTXzINxHca7AdYs9Cl0kzg30KNxe8zxcKn63xNtbiIT61pf1f8C3wLzB 7I350VyBX4r/Kv5cnMPwmaz9+TP45+N5Za3jQDolvLfz9M7Qn8V3KfYr8lk6 VeM1xXc77rX5m+IcHf9fix+PL4+vSG+j08uvxufHOlB/Z5xf9G/I2vK6xnWX XzjOKbGPiz0O3TXx9ik64aG4zmMW8v6Lcxpvety30vfr3IqOY/1l/jT2Ovzn cFX4JeNe2XO8g08S/0eLG4crh6tAb6XTya/Qe2JfqvthfGZiLy2/Lm/D76J/ wvqlvJD+l/I88kflX9Av6q+LfZG8S+LtU2ZCPeu82OPqNme8jusV963m8vyS /AX4f+O7iZ8W91x0K9xN+pPYU9Mz5ZXpsvRljwG8D+Lvxuuss5cuGOea2NfJ E+nOibf/GzvhiLyZ51si7yk7ai7nuUvw5wP+ie8WbmrcP9EtcTdiH4o7bd4d exr+s7hK/BJxDx+/f+ALY8ZiymC2mNPyL5n749/H9cNf47fmd8J/wS+A/yLu lfh7zHPxyfmdEm9fEhLqWl/Cf0+k9/7eh1uM6xHnefoIXVZePPabcd+n+3d8 5nXbyjPG8/KnyM/F65G30L8uLy5/Qf9Pelecc+WV5M/oVIzcOpG3UbcQbgyu NO6iRz/ce/K+uD0ec2Lfw3uQ9z9kXTmV "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl2nfAjnX/xvHb3jtCkb1lC9mSkE3Ze89EyQhZKckeZe+tsklGhSSplFHa hTQkK0V+r8/z++N6vp/jON7HeY37us7ze+rJ23VQ84GJEhIShqZMSIi1TbKE hCRJEhJmEh/SPT3e4fXi3eA96DE8eUJC/qQJCVsSJySMTpGQUEReHjfFWgG3 l/c+7hJuNq6IY9+WN6Jvyq/KJ+n2smbSaSGfL79sfk1+No4pL239Ur+6vLPj LdVvQGegz8rnymvqGBPaWpPqzorXjRuKO8bPaz7Gbwtqhv+X34u/D9+bfxOf jr+TX8o8Al/AvBU/hl803hP+FWtF/CHMr5g5mDv8xua/+S/iX6P/xL1OF6XL 6H+F66KzDNfQ/CVfnNAOl8wwW/YRnU/+Ed1O3pveL+9D/y0v7VGRN5X3EO8w /R/dROcWPVnndfqKfAFdjC7ruc95vq7Y5bjHzV/x5/FrxWeFb29Njn+DNwd3 DPeMIJfP97g8P31cfl7eXre59ba8vryP/IB+X/mH/Fv66a275OXkZeiR+gXp RPQ2/bHyYvEedF+1VtI9gvsNNxd3l9/U/A//JfwC+i/cQro43Q1LJnTwPyl4 c+mP6QI6H9MdMC08xx3H6ss/iOvHP8b7B5vBultW3uspS4/SK0QnprfrviAv rtORrqQ/zVxZ/x3+B/jf8fPwReXxY2lG/yu/Jn85/m7WzPF6xVeti2Ql+OX4 X+t111mh08h8jj+fXzv+BviO1pT4efF9YDyLOcEvaD7B74jvR7+L60//i8uo vyc+b/PzuMLmHbjKuOm4Krijsj9k8+PvYG5uvs2fgluEu4ZbTJeke8hXyhtj v6YdPqGTPJV8vuwTur/He7wBvNu88h5VeDN4D8d3gb7sGK/F52puYb7Df8Xx +jhglng+/HXrEv6XvAdl5a3f6NTw2fbUW6XXhM5IfxO/LXmd+E3Q8fF3NqfW f5P/Gv44fhg+t/BTeSH6E/kFeSf9ltb/5ANk7+sOlN3Ry8R/m1/BPFqniHkn /mHcTFzV+P7Ikni0lP9HT5Uvkd+QL6VL0RUc59s4t+BW45qaM3kt38ZvU/ZI /FboVHpdzGn03uK/Ht9h/HP4B+SfyQvTn8ovyjvrt7LelTeQD5Qf0h8k/yje k35m6155RfMY3aLmXXrj+CXiPejMslaLDuZPzOuYpOZW5rv8V/FLcTdxy+jS dEX973C9cWtwzczf8VPjuuLS4hbITsiGy07yi5g/43fBDaIP456i7+KyON47 uIfMY3HFzLtx1XCzcdVxx+M3HudL3t+85bwy8d3hpeF146XjLaQ/p4s6zkm6 K+Yp+oh8cJxg6Xs83z7PUQn7Aq64OYnPcI9svKwkthNdHT7HXENvH/9j/BX8 AnwxeXL6ifiR0tfl0/T7Wu/RaSlfLrplXqH/Fb+s/CHr93Ee0l2r29z8fZzT +HXjs9Ppbk2vswjzBV0M9zndDTeY/kD+NJ0oftOYGry5vJq8E/Rf+IWOm8L8 pDmR+YbjT49zhTUrtpXXt0LvH/NKvXP8cvJK1h/wNeX99Nfpt6Az0z/IF8of jfMnnU6/hzmD/hb+4jgX4EfgT8mKm7+Qddd7Ik4a8botR61D+In5Wfn78VV0 x+FLmN/mT4jff7wn/DxrLfwnmKuYRZiU5tbmxOYZ+JW4f3GrcOXjc9H/UdYf tx7X0vwjP33sXXAZcUtkn8pGyk7zS5hP8XvghtAf4obSSeJ3j63Fm8+rzfuU ThXnI95t3mpeBdwA3gbHaeWYP9EZ5L3kmeRLZZ/JRsnO8EuaT/N/8Vp7Yp+0 JsI29NkOlR8zPxPffX5SeTbrgTgnyas61nj9kvF7pffKJ8pL6XSma+u/Zq6j v5//Gf4afjE+tbmNOYl5pl5/ebZ4Dzp3rGt0KvJjA7gR9wTuZzqjvLc8s3yZ 7Cz9oPwM3Uv+DP2R/Fn6Y8dMxrvXejDOQV5TNZ0J+AfpZPQ78kny0jpd6Dr6 r5sf0T/AP4m/jl+CLy5PQ7elk9I35bPi87beq/OEfI3+f+a1+g/Jqsh+wg7S 26T3pPl8XN/49eJvgu9jzYJfjjmJeT72YvxS5rP83vhn6eO4YXRyOrv+u7H/ 1JmIK2Xex38EtwBXF/e57IZsqSytuZ05mXk2bi3uLm4drlKcn+Sb5a3lF+jM 8r7ye+QrZF/Rwzw+5j3HS4Gpwa/LW8h7lPdF7Fc92jtOcseZg1knj03Eennl +A573T/LBuPe4LcxZ/G5XZQtlj0Wewg6i1o/c1a9rfyVcU7Fj8bnkZ+Tl6a/ lF+S99FvbU2s87j8OfkJ8/A4H/FTynNY34vzimNN0i1t3s9/FLsIWw97KvaK Hh3kKeRz5etjS0VvkFehn5a/SbeV/xLn8th76GeTb/Mcq+KcKR8jz+u1fC0v Q38l/1XeV6eNNYlOI/lw+SfmEXF+4aeS54z7lLgeyWs53ov6Zejk9AH5i/Iy 8Zp1F1sf0z2Nu4lbFvch5o7mlOZ58TvCZ8dtiMsPfyP+YX5V/nnMEPxb/Hbm S7GH4NePzx8/wHovfjXmFGYs5ht+WfM5fj/8CPpT3Eg6NX2f/iFcbZ3JuLLm g/zHcEtw9XFnYp/o0UmeSj5fvlGehN4kr0oPlWfjDdTJzltDf0uXw3xN98eM pD+Tj6LT0Pd77sOOVwf7Eq6c+V3+5Lj+xXPjl1ob4A/yzuL+xi3HlfD5ZqI7 06npv2MPF/sFaw6dJ+Wb4nIr36z/Nb9a7BOsF/C15M/ob5G3p++hf439i7xB fI66g6w5dNfiTuNeiL0Lv7z5G/4A/Cj6JO55Om38rrENeMvi3Bx7U/oWfkVc F81dzGnMt2LfFr9na05sa8+/OS578jf0vuFXl1e3Xoy/j/xZ/a3yDnRW+jf5 MnnD2EvT2fWfMufU385fhz+DH4fPJ/9eXoH+Vj5Qt21cK+K18z+3juan4+fi H9Gpq/8yvrz5Pf5Lcd2P94VfHr/f2Ktg/sGsjPODuas5rXkB/o04pdBv4mrE eUj/F9kw3DZ+R/Pv8XvHDXa8+3Dr41ohGy/7gV/R/B1/UPw7Af0FbgydPs4H 2CnyCtj36cflK+K3GnsU2T3x++elwLzFq4l5jpeT9zTuft4G+kv5hLjm8x8y f89/CtsurkvxfPxT1rFxLedlkOWO+7nYF/pc6znGK3oVYx9FH5K/LC+v05Vu pL/S3Fj/3biPw/+LX4UvKc9Kd6PT0f/IF8bezXqfzlu6KWVbdGvxa/Iv4Ybr bOd3Mv8Rv2PcEHwu3EbZT/RYj9O8F3gZMQ/oHsU/Jp+q+1DsjTz/YdkUWQVs N7qx3ipzE7334p4Kfxu/Gv+gPBvdnU5P/ytfFOda6/06beRb9FPJt+p/G/en 8lrWX+O3Lh+hv0Pemb4sWy57PP4eekOtufU2xbUMMzH2E/xK5h/4g/Ht8cnj ffHPWMfxM/Hz8D+Mf1vQfRVfyXyE3wS3Gtc0Xo/sjmyN7F5zD3MG82LcVlxq ehuuDl3b8X6TjcTt5Hcx/xm/D9wzjvcAbrPsPF1Z/iP9dNwz0Wfl4+nMdANM U94aXjPed3R2j546GR1zCWabPA29Xf4IXcdz/y4bhdvF72rO5rO7IlshaxT3 n3RuvWfNefR28N/An8NPwueXX5BXoX+S/yYfot/BmiK+j/Lx8i/NE+Sfxb21 PK/1mH5Dx5qmW9n8Af8VfsV4Dzprrc11vsfk8OiFy4RbitsuT0vvkNeln5c/ EPsSnbxxv01/LX8Rf5H/sPln/u+OPxTfMfYB8f3z+ibIvzJPlJ+M+yV5PutH upXljzvWdP0qdCr6qHyq/CGd7nRz/XXmFvrvx/0K/j/8WnxOc29zZvOy2MfL c2F36KTj79R5NM7p/D8wo/G7+d3Mf8V9BL9xfPb456z54n4c8w1mcuw5+FXN 5/nPxJ6bPoebRGel8+sfxzXSmYF72PwhvwVufdwX4n6U3ZWtk91n7mPOYl6O 24lLT+/C1aPHyPPyhuvmj/ss+hI9yeNr3ou8bLjG/Jl6VR3nGN1SviHu8+Q/ JUr43z/arJfdb+6Lu8d8m7cirvPW3NhdsAyy3fF9jv2grK71MvYRn/tY3T3y 7vE7o6/KV8mb6A6i8+mPMBfQ38nfGvsF/Ev4AnEtllejL8if1e0U+614D/xv rJP59/ILxL22ThP9Wfhq5o/4rXAbY6+P+1mWy6OfPKt8pXy3PCO9R14/riWO 86fsBdzb/B7m7F7HNdlqWVPHeorOrzfSXFBvF38b/jv8y/iCcU2WV6cvyv+Q D9PvbE0d5x/5ZPm35pdi3x97PXlB6wn9po41W7e6+Tj/VX6leA86m2JPo3Me k4i/AZPb3B+fzbwKvweXiX4b14Cuh7siG4fby+9pvh6fGW6U4xWKfYLse9mU uBbza5h/4T8X13v6O9zLdA66kON9gmumMwdXw/xx3IviNsceBnchfuvxGfIy Y/byGmLG8wrynscVjnMV/QddE3OJHh7XTPp7+RQ6J13Y833qOZpj5+Jqxv2o z/CEbJqsMrYH3Vrvjbj26B2K/RI+sXUjvpQ8Dz1A/176Dn913H9aH9BpG/fD +lnk78T5LK5Fsf+1/oWfoPuOrJf5Bn8Nv1l8djqjrUXi+4u5TNfC/UqPiOsp /YP8Ffq++E3HfTTvzXjOuI+nkzjWprj3MA/UzW7+j7cm7iOtebDt4t5X7x75 Pr0f4twvr2+9Gns0+UT9ffLedA76Ztw3ypvrD6YL648xF9Xfzd+F/wH/SlzP ZLXNv8lG6nWRp4nXzf/ROpV/P79I/LsAvqXuPHwt8yf86fwq8Z7wb8Xrjfs8 TFL+5th3mgfhc5jX4vfhstL7cY3j2oi7JpuE28/vE3v5eL7YvzhesXjNsit0 Hfnv9Kg4x9M/yV+lc8XvPe6beVt47eP+jc4fx+Rl0zvAaxL3Y7wDdN/Yg9NF 5S/oFJfvkf0omxrnd/4j5j/4l73G57FdrWnj+uczfVX+s3la3E/HOTGOFf8O oVtF/oRjzdevTaeJf0+Wz5A/rNOTbq+/1dxB/3DsM/DJ4vod5z/zU7o5zev0 hvHzYg/o3Ms/qNM07pNwB+l+sW+ki8nH4UrI35ZdpevKL9Oj5d0cJ128Zv55 6/S4j47fQXStnzvOw17bk7qv6dWh08a/J8tnyqvq9KI76G8zd9Q/EvsUfHLr m/jS8oL0YP376LtxLYl9tzWfzkHd7LJ3dZvxG/Kv417SeZffP/aU/HX8FvF3 wY+3lsTvjX0t5lXMNf6j5j/5Y+J7SF/AzaDz0MX1v8C11nkd94j5ZOwtcNtx neL8LEuBe0tWyPw07n7zBty7uBz0e7jmcW6Sv0cPiGshXUI+wXEelL8ju07P 8LjIm8nLi2kT98y8HbzO8T2iU3q+LY5R2DzE8XKZN2KH8/Pj3sPn5L8f1/74 DOK+xnoD96jPdore+/KBsX+h78jXy1vqPk2X1J9oLhXfZ/4+/M/4afEe5Tfk 9egr8j/lY/W7W9PH65b9Yp0lyxfvkX9Kr61jLNCpa/48rme4nbgucQxZkXhN vPswh3gtY6/IO0QPinMavcGxWsXnFfsRa+n4jvL2x/4ZNz0+kzh3yR+j/5Jf kb+g2yPuuWK/KZ8lv2SeLT8dn5m8pPW0flV5O8dbqP8onY7+Qj5LXi1er+6u uCeLY+NSxb4DV9Q8VCe3eRN+BL8A7hD+fv5hfCt+I/5NzFT8Yf5T8f3ml8K9 iC+DOyC7IJsR5zF+ffNV/jjcbPpX3By6AP2g453BtddZhKtnPhXnGdzuuBfD /SUr5vGM/AH5ZvlheS76iPyJ2CfIS/Mm65TlHaRv0Q0w1+jxmDn0b/K5dMG4 B8Aslj/mmKfjtXkt1eM5cXti74z7IK4xuNSxz8GV8XkWp5/Vy5M04X//Ee0N 3ZHygnHepY+wc8s/iL0k/8nYb1r/xteTT9M/Ih8c+9n4j3Bxvyp/Ij4/8iVr ubhPxl3EzYxzG7+h+Tp/guPNpX/HzaMLxW867kd5b8d+gHeNTuOY23VLmIfp 5jW/iR3FLxTnXc/9gc4DsqOxR+S3jntF6624R5ZP1/1A/nTsheP/2xD3pfGe 9IfEf//Vf9lcPu6Tsb9gZ8X5i/+4+Ub8/fATHbenNWO8Ztkf1vmyM7zC8f2x ntWr5pidHGeJbn06PX0m/nbyGjq96R76e+Maon80zp34tNYd+LLx+6ef089H vxX3XvEc+KN6efgf6rXhN+X/g5mBP8ofYk4c97PxOST7//8vRzmd/wMsSDiW "]]}}}], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"RP[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{1800., 0}, ImageSize->{350, 300}, Method->{"AxesInFront" -> True}, PlotLabel->FormBox[ StyleBox["\"S -> 0.5\"", Bold, Large, RGBColor[0, 0, 1], StripOnInput -> False], TraditionalForm], PlotRange->{{1800, 2000}, {0, 1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {189., -157.5}, ImageScaled[{0.5, 0.5}], {350, 300}], InsetBox[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJwUmnc8Vu8bx31VEkJCJSRSSDLSULmuJBGpJCUNDSlCQxJFiZTsPc45j713 dpK9x/M0ZFSUUqQUkkr87t9fXl63c55z7vv6jPfzsvK0g4kVNxcX1ywPF9f/ fw4PLfqPS4bCvqaLEobJHfB2zprxR+spdHSe6jFoZMPyiyK8ZUjhdJPTlEFt KUg/vL2PtZ/C2bKmoyWSUfDk86baDZYU5tNdsqaJTZAUWmcheZnCaPYl3ecF HDD59VJ+4DaFq/8kGHXG1YJ+arnIdBCFH3M/t+t99YOeiBHlungK+TXhxnXT OlDXZt2wy6fws3Vn+4J6DjxXVxiyrqFQwCBhtn64EbTeajzc8ZxCZ8W5BXk8 sbC98f7RlvdkXaDG6Vd1CdznKjBKGaewwHF4vH6YDVGjpy6fnkPjiVCbND/d DhhXHixxEKVxuaymiVZTHgylPlq3Tp7GSwZ3bX6XZEJS75yXTRtozHWNOv9k QzukH1NileyiMf+Mq5xyHxuuhT6PuXeIxu0f2N8cp5/AfYmDj5PP0egZd2sp T24EbOpbznv9Oo0JC3clBL5vhsyj1t6rvWnsdVcp9SrngM2qB4oKkTQWcS/c PqRVA98S183wptKofjJu375D/iB4djlXdDF53ugPricX1oDT5b5VtxpplL8Q sGllJQcSNVffhC4a/+NO4tnd2gzL9XdOHhyi8bnZAw/unlhQiUqjl/6hMWax wN/Vy8thflzw9fIFDIqn92qe62aD4q8DjvkSDP429J0rZtwOi+aGJngrMbij J7Qj2CQfwvat4FqoxeDBC9W+/PuS4NTQbfcPexiUuP+u7SxXO4xvsVKLOcrg 4qlgt3QdDrR3reBJtGUwaIlY9U/PCnBQOb7Q15XBoy8Ur59fHAyZ1QM7Vj1k 0MD333rnAw2gnoRRghSDLjV2IpxODtzSlpHrymDQ6sbTdXHT9bBodWfHeDmD qS3HXavFg2GH0cu0p20MakpM/bnZXg2bFA8X2bxh8KFK2OT5QA44meZ8tP7G YGD+ZSmeP83gutFnt+4MgxvSt7+10k8GycPZneyFLOT3qX2kbv0I5tWn3s+R ZuG0YfSjs6fYUPBF3s5OhYV351l/O7mHDZknbzjeAhZeEH64OLi3EMTFv83M kt8LLJuajrsXwAcnyT/daygcELIYkeVwYLqY+rdxM4U6n/MXH5lqBMq1KSNT n8Kwr6Evl2hT8G3L6wU2Ryhc76p4knPkMeRVzASknqcQflaqVU+yYbqurXLW mcJy53OTBQ/boW2fAeXwgMIGVff6/nN5sCj2Bcsymlwf6Pj0THM28HzZdTAq ncLa+/19qfId4FFyJm+4jMLs44InZWrYcI9Xpcy0hcJtGSd1LPY8hm0H317h 6aXwrpuRpr5LGJw+yxzc8oXCMfl23wdOTSA8xdfn+ZfC3n+cCLNGDugJrhIb 4qfxprwVCzm18G3Y6Gq7JJnXceX91u7+sLva4s5fZRp3fbu49MP7GlCQXKK1 YzuNt/IMFUefcCBwyo1m7aVRcXilVJZsM7gdDskQP0Fjh/rN1GLlOOi/WfxO 0IFG+7X2i264lsMYVdVg7E5jQ9Z/n3SEOfAQnI+kBNDo7Z60zV69HTLP9oYs jaWRiX7TcOZ2Lrh5rnLn5NCYrMYW/vIhDaptbgXzV9L4S2zBGY397eD33GP/ CTaNVsNspyPzONBfsaG0qZ/GZ7vf4mzGE0i8NGlQ9IPGqvnSVqztESAhxfgM /8fgZNfDGd2/TbDUaOzaJhEGV+tkWL+o4AD9b4yflmXw5sB7/m/bauF5WveB PeoMhuf9ez7+KBBcJdlPnXUYVAxak+weUw3pi652PTUhenuuemY0gQOWD6pj VpxhcDefk7a0XAswdysWRF5lcMT2a+vh3Yng7xy75shdBn2q659IPyqEUY1g u6gQBgem4w6mW7Oh67LqifEEBvveidVunseG3equv60KGNzvGxMbm18IiqUv y83rGORx1OZ/y5UM5VriqmEvGRTdlfr58N026NSeYzz0kcFTy1b2LNzCAec6 StxsksFlp9grkzlPoVVPMoCPh4Wsh81ui60DIdA/Yz2Ks9DlX+fOrh0N8PrI Jxf/1SzkO1U1ltrDgdykjks/N7LwtfLEp54FDfCu7FFpBdFHzofSui7lQrBW jfg3IkfhvUZLPSV1Dnx9c8r5pwaF3hGZu3u42+H1+FfzR7oUTq78UinFZMO9 09mZnqbE79XCb7tJZ0HxweXp9mcpnP+xpn91aDvszzIQFLxGoZTlQNGJHjYE JgidUvSicMhjs37Ez3JQTtQ3VwmncFfqewnzeVFwaccyzEkm+fPYRhs4zXDU 9Y5YZhGFaSUnw3YWciBTKuPAiQYKxbtuVlQdqIHHSxfMyr2ikMeoluVb5A/7 wxcf5v5E9FufNBa9swaMbvaJhf+icOY+a+T4Yw58n9GpSZpP5unGpszZhGb4 /nCZOGspjW8dT/rM1sdCZKH3YVFFGo2HN7MlVz2GQVc/73lbaHSz2n76LHl+ Ot1UOtOA6Ke0b4toVDv8ufYood2cxsdvVO893pcPBYZe7T02NOKHJ/Oa92eB aMW3T6ddaVRKupYqvqEDJNtGR889pNHM8Ygnu5MND3XzT8hQNBa+ilyzd9lj KBJN0/6aQWPL3isrvDEczlsbNT17TGPGniI79z1N4CGbV2bXSuO2+5eZ9bUc 0HHJivZ8TWMciHy3/lcLlq8lZby+0riqfW3TOm9/WNUrF/rfDI2db+sflB2p hUCn6snfCxl0Sl25ppno/YyLbGWKNINeX+ten6logrHOoj/nVRh0jNqu2FAU D7xFv/p0tBlcl+KoInqyGO79+732mTGDHSv2vbyWy4b0dyHn3pxg0LVGNs6J 1QEbVUbnMw4MWvzdmrYp4hG4PXeTuOLO4EJXTbeGm4lg/Lfs1YkABq/eYSeP t7eC18OSv1yxDO5sntdvt5cDp0v2Cq7IZfBk5f3OB88rgR49VL+6isHRk03O lGIwuNX8vJjOYbB54+I62bRG4Nmwjjv9HYPnhpQ+uJE8+iWweubEGIPD3ELf J+PrIFH7oO0abhau25Dh+/x8CHSOKd/lFWGhyM6Bf+XllXBJqPE/liwLn4TY DNm4cyC/8Y99njoLb/wW2v/HvRX0/MSXMEQffw7veCboWQinnsRN1q8lfcXp uedUJgcEgl95OG+jsMmXy+3+eDUcn5P0L8mIwqMV3akdJX5gtojPet8xCqUr 5kZnTtVAhuL7a+8vUvhkbll5A+lHKW8PXP1xk8KIJfdUHRY3A9+0x6tCPwqf TkhEpr5iwWSM5WAwQ+ZfznnrLoMnQIVeOXc3m+SDQN2zC/wcSP+5a6/iUwrD f11tc/zZBpbjubKGHRSKFvwebMvNhXK/R4Of31KY/mSfnvpoKlxTV9x/aZRC GSj7iA7t8OLqxtSrsxRWXdpZMiTCAUpqnrWyMI1dccf3eB59AiMGt9n/ZGhU PWx1NGBXBEy2r894r0pj4PRA+9zQJrhQHjtycweNC4MXfOkjfuuhlyYZcoDG L9ZRie65tTBny9VHJ07TGDUevOL6PX8QyB6a0LlK+hu2FGdM1UKHa2iK1l0a X71+6lvUwIE/eVxVn0Jo9FpepSS0uQnaPOc2CSfSuO9pof6bGyzQm2A9LXxE 47J5YYOeVqUgaZ9toVtLY6nbx20D79gQ6Wk6aPyCRva4keh+8Q5wm1P+SvAj jYfTmz8bCObD0Fz21U8/aawOb2+aKM0E4ZNL7zyfR/zY/5jGiGc7xK6U/eko zmCG+AvZm2/Z8Op2zeHg1QzGzFMXOSz2BApuTqeu3cjglfH1p4wfBcM3j1RW th6DB5rdbS0+NEK7/IhnlhmD7ksTkqNfcGCJ2g/2KWuiB9mjc/da1wFPtx9/ 8HUGb/ir/DV3CwJaqnqDtjeDa3gGuxRMqiDw4oU5LyIY7JbzEewK4IDSkdTK jylkvi8YPbu9pBWUM1M/ZJYQ/Tkk6yWZJ0Ohx6FHvk1ET6bXvva+LCb7t3Hc vZtB7bpTJjr32JBs0B2lMMxg3fdtlw+5d8CfW4vX7/3DoP0BD77GZwUwYfwx /+sCFh758IWxzY6DPUpKr69LsHAxW8Xp+NNW0I/nmbilxELPukxh8SscyPZI vLJlKwuL405vNPpYCTc/7z/WR/QR4nrRYOxlASj4mbpPrqTQZNnYf5ui2TB4 qbbwhRqFtHmS5Nl/HTC9niuvSIfCs78Pf99rWQDPnJbMBJlQuNe+9MPafQmg xSgWHzhNIQ5wJx00bIU/sfM1xa5S+PPCHvuAkxy43HZlJ89dohf/8sQf96tA K5l7o1go+bxDfCXCnwIhacRjY1kihUY7jO8tU2+E+mOBDb4FFC6K4K5TIPmH qRekztSRPHP5LnF9XT24uErXqb+kiL/khcp1h4Le+vauwQ8UPnt+xjCz+inY VBjkMT9J35NPEj5tywHd6yYSnvNI3/99uDVFtg2uvHa39hanceiGtuRlmzTA HLpaZg2N/L3BFt5+BVCfoZ/9aSONX5MV7iuJsSHx7tMT+buJX4fq65xSZsNm rxpW+mEaH9W4BL/nLgFpjZHayvM0gs+qjdvb4yHZeN7UxRs0bu4+Lm2v2QYf QjIe6z0gfW6h3gsfKw64FEjproqm0WK8PrPhWCU8O2Yr/TeNxjkOJ8+Z8wfC 44+PzhaV0phiueOf0p56mDZodLjWTONe+ZWaFWQ/xl9d4D/dQ+OxL+ZNx/5r BG0R1YcXv9A47NLeG6QaBoplg0sXTtN4JFAu0GFHFbQ+VNrUy8/g9ktTJq+s OVC/WUsiS5LBzidB6juUW8HDTn6fszLpW6EruPXFMqDdg//7mm0M/mLXD3Sd zgXHq08O9Rox+GdHyy6Xtx3Q7jdtWH6MzGtet6JoIhs87s6fH2fHYFX7I3+B sRKY5Pq22P0WgzPL3GA9Kxr+nejw3eHHoMzfUnU3rWY4FnmzeT7DoPw+cXnX dA5c+lsU+TeLweUvtPT+G6mBV3zihgufMhgnWy7SmOMH/d5W/IUdDCaoNskG vKgDRkXnmE8fg8d5a8YF2Bwoyh2+fOY7g0/tdg9MnW+EwDL7bk0uFuqf3rjh WQYNvxO/Zo4IsTBUM00B75VBmc3mXSkyLPwdWbv0Gi8HNI4K2weosnAFe7Pp 4vJ2uDHZUOdH9CF9QPx7fU4hyEqcdGYrEv8VLbt04RUH5sprVR7WIjwQOens xFMPN6HYNG0PhTYyLXLgGAzx8ldLjh2lUOWv2Uv1/kpQcfzuUWdD4bKrLZoD LoTPnwlFT7lQKNm1KeL7tVYYkR8sDX5I8iY+Tm/v/VSYy0jU3KAodFjmLTEH ioADr4/5Z1LoJfpT7eg5Noi/Mp1d8ITcfwas1/0gfH3L4du+Ngq/cMtVOnUX ws3vjZm/XlOof/GTjYhZLFxsGeCYfqXQUNPH7MzKVhgrjN158x+Faz4qOcZ5 ceBHmGgFnyDx67OFYw5lVWAXPbhyUJrww1eZW5+UA4Fp3CU+qkLjhiX35V50 1oP+iMXik0DjDuWvko1kHh+sED0etY9GkYqES/nuDYD6d3O0LIm/6wvn/Tod Bk5h+78oXKax+7vGe6/MKrAUyCjWvUOjfm3Uu82eHKh2LvdtCCL50hj/y7C/ BconHLJF42k0rP2v9geTAqe3nWbV5NGY98ZYPvl5PjiMiP1aU01jVtXxvJwV bBDJtI0xe0Zjts0KqaETbFh/yll/5D3pX5c+7tIrLYZ6rYG37eM0WlotFBg9 Hw9i2r3z+uYw+Nhwo3vs+VZ4vdFH00yUwdJA59LzNhzQgt68iFUMvj1Sq1F1 ogp0F9v+09rA4MZzpwLsP/lBwb7ynBBdBvVdG9ezXtdBeUxOdpEpg5zMXSXl JD+2vTEvQisGb993HvQ90wgmKsl8YdfI5yXomH85HQ3ihmoqhl4MfsvanXpN pxyQfaukKIzBY9+284Qu4cB/VhcDRpIYvPynZW+JVjtojS5yeFDEoND+43ra CrkwSottvtrA4NSFyiWrXuaChVNykM8rBvMbvx+fe60DtHW/jfN+JrxxUd9l XgQbSld2xR+YYrCyYFek2JYy6G/mWjk9n4UO+1+tT1waAXavh+cdW8pCxQMy R9yVmiH4n9Omewos3KVjqJ1P+sF60bLLS7awMN7uxouWvzWQfYCbv4PoI46q t7f4rxCSn3e7DshTqPDw+rt/URyY2DOrJb6RwlM90lflUsl5Fvdy5+pR+OnW Na993kmgZbzL4roZhcpnD90SrC+ADQsW0g/PUbhbq9PbcCvJv9KHn3iuE35W ndC+t5oN2Tcy3Yy8yXq8/E9Z3mKQjve/uTuSwh1Sy7mE3yfA1vAcg8RUCsuC za4ay7fBt6grZ1pKKPxt4Ppr8DAHpgvHN4t1U/j3OvdIgXsAmP878lJqiELt 4smAF671oKJ1zcXvN1lPrQyxIPMcc0/jYsMCGmnrPU/lOxvAYeuj2iIJGtv7 zgYoSIXB98eXR+avpXG6ZT5LqLES5hs9s5TbSqNT+arjB85zIJwz9CbJkMaE Z4tLbnu2Qvm5hJQxCxoV7j59LS6bDnvOSndNXCQ87Ke6/Mf5Qri7ruvVkVs0 SvQYeN26yAZTng2rvP1ofCD0cevIIjZQL/RuSDJEH+0f3/1NKYTo1sETfVlk fc5heaXZWBAb+rBu9AmNSf+4Y7L/tgDv36h559ppPH4g2oN9k/S75AWF9Ci5 /nav0zyFQFgxbSk0OUujnR39JFuvAUxPHS1aKkzmJ0SC+/965irnOxcvw+Am 7UcWaYsa4DTqJ5urMvjKcrmBg10k6AwNdBxHBq/JqVaaWFdApPdG7qb9DB66 BKKHdTjgpbn2zowlg86FazLuBrbBcFcnb8xlBnsFtylmK2UBT7LQSqs7DFqz FW9wl2QDE5EsezOIwZCuIxYCczog221C+U8cg5fCy6f9K8l+XPtwVyefwc2S K44FBT+GMy/CdmANg5C1JGVZbgxIzXq1s54THnnWZVKwrQXstyxNbRpg8L+K vVw/EjhQUr3p39K5LJQbyzE5MtcfHuFF81WiLOwYXLCfEq+F1QWHK8JXsfDg 6syQsDoOqG366PB8Awv3nnurPzvUBLGWHxyfrCN+veFgurEJB7QbgpPjjSk8 Pv6Alb85CPj+xYrpnKDw9dDq7r9D9aDQ9/z8rD2F+d9Z84XJfk4PhxgNu1E4 bNiQdvJSAyg+W/GzK4DCOVODyQqfQsB6iPeScy6Fh5/W0G9uk/uLborRryL9 6XPKHP3oFmg7P2amx6FwU/dRrutTKTCtxMj09BNe32urz9mUD25R9u0Pf1D4 9krj3Ddr2VCk1ipg+x+ND3tH7uteZoN+0k8hYxEag19tktpiVww2v5e5i8kR PigL3/7JNh6MXy7DTnUaT33h414h0Ao+vh/ronfSeIhyOppD/LBe8Uyxx1ka jTo+Oc1qB0J8vcfMsWs0ylc4RW5ZRPrHl1sRql40aq5fvPoaeV/1L7o/54fT uP3IYfN8w3p4Kxo1IJBMI3eqjwvv/lBoGtWrtKwn/H7v3BceOw5IH9+utruT xnxq6frXS9ugNWn2nNonGi821ogPP0oDgY5yXq4pGkuKZSUc+QtB4Pah6Yb5 pH+kzJ/Ts4oNZwXKCkKWMrhW6dWtKEk2rBr0M5XcTPqLQZUNVMWAQlFoQJM+ g5Krvx3NZLVAf46CReIRBgOOS6Q9JvNRdveaQMANBstN2Ld4i/zgHe8h4x9R DA44/92d3cEBU8MPP96mMVi8jlPBl9YE0hfgKLuMwQ+Zt+yz71AQ+bXe9Fov g0Hxexq05TgguK+WZCSDvy3Uzh62bQOtHuPH+tMM7p4X9A+v5wDv8ybdPn4W 3n2eq5HelQ4KzhfyQyRZuAqkbrAm2mFGLzz3mjLx50+a8uE/2WDgzsoaJX4r +n1bAp1eAA+2auBfGQotd6tG3tzGhtNl10xrVSls7njCJ2PDBgHjB8dKdhC/ vfFjzya+Ypjiak2OPEBhn6f1P0qSBTdrcrfvPEX6Qvd/kiPcLcCOPte49Arp M4ZLErUDCc+fTiyYuEOhIt5PVBCrgR0pJxN5QyhcP3hl57c9/oDVxXlPEyj0 47Xplm8m/actQubWI+Knfh++bif9yOer/l2rWgo/eFff6Q9qgB5lRQWtF2T+ GyTeGbdHQbVrxrLuAQrf/clq9DQohxt9MzPxExQ2RN5Kl1bjgL1Gz66rc2n8 O8+8gbRNyJ+rEegqRuMfuWr94+bZIJqpMLV6NY3nR49rfTiYB0U7k6u6NEl/ nvWYSNjWAWu+T7gV6tGofKZJ48FDNnT6ttCRZqS/PFUr6J4qg+fJKyofWRN/ dNFNam2g4Vu4MNcVZ+LvHhgjIk746fqDuI33aVywe9G+xZEcuHLx+cbVUTQG WNVZlzRXQf9tI0Fu0td/DK8I9X3hBx8SrdVTS2j0r77juyC/FkrfHNxzo4nG rfG2FyOec6CVp7FmfzeNd234q586NIFyVilaDpN53/la601RNGQq6veK/KXx pIk6W+YQ4ZfwE69a+AiPqu2cjFvDgakleg05ywnPJjJvdu5ug+aSY7/d1zI4 XJhk6vk0B9QviDlLbGWwoqqlQIxJBxsV1nCfIYORB3YmJf5ph/6B3IoMCwZd 23LdN/9hg0J2yL34iwxaDnTp/ix8DPkRSYFeNwk/P/vjlJAWBi8CzT+p+xL/ d7Fvi+pohAbmrRo/zaDT7I8L///+Y5L68mYok8F5nYtkA6/XgeNSJz+uCgbV RRZ971MJAGEb+mhZO4O1H0UDssxqYTjD6IHLWwYlfK9Vniwm+cjdlmE1yqCG EXfu5dImuOd8U3j7LNHHsp8aUibxwDfTVvVWkIWaGQZWiVNFYBn5/VzGCha+ bvcu6i9jw4RsjJ3behZKcH9k9hR2gEiGDO1F9KGr5CmfXkfytHH7lpcKFHrK zg88Rfzotv2XE7u3kN97GrSnvBrA9zhyZRhQ+Phg0GI1Jhwac9acOmNO/Fc8 f9Y3uAIuRV1fUHyBwuQ/7/Z1kPa9ptV+3fQNChPhutyUTxu8Lluy9o4PhUWV z66keGQBH+u6ml0MhVOlLY/5ivLhotiirpAMCv997f24l5sNrbuPHfnzmELH 1Ffnr5xlw7YaY1OTVgpvfn3zme1TAq/jngvN9lJ4dbPcnLdHo+HTkiqR3SMU strDez50NsN/rw4F3Z6m0KyXsV+QxQFJE2rotwCNrmtu7ufsIn2sOmpPjxSN NgtHgyKf+8GVOrbhz3U0CvPSybmn62CzZ+nq/dqkj68pqHAi8yjga3CLMqbR 41ZPoVFXI/Tte5ilcJLG+7FTye2SMbB2gefg8kvk/lt3ZLn+eApppkVPDW7T 6Cjl9FZ3PwdWH4u+UhxIY4Oq9JFPom1QkCkfJx5H4417LbtDlTLhkuXOgOZc GhNHvoStcMqByIym2mVVND5VrnDsMe0ANvy6dpRDY1j4i97PxWzgDezk6n1H Y3/xQa7cjDIofHkxtHqMxp/KVbr31tIQmbWt8QM3gy+KLksGbG0Blx0VL/UW k/nmO4FxMRy4KP3pRLQcg20/7tNWbdXgeyI+RUeDwQfLPx8LVvOHpRvrN93b yeDJs9npEztq4ZFZ0M7HBxkMDNCtv1rNAWMNQUXVswy61LMLAlubYOqIuk+4 I9HDVWrjxWux8Ozd5/QDngw+eWQwf2q2BJZy8y5ODWUwUXIo+E49Gy7atk+O JjKoZfSj5sK6DqgM1Cu4XsigypTdlcG+fPDNuOZyrp7Bhr5ByLXNAN8jb/sD Ohn0EL08vM67HXyqpmR+DzLY17zv8stvbIi8Wvb64C8GpVe1LD3L9QQ67wse mUP6+krpq2sDxEPATbNFwngJC7cKZB/Oe9oIm9auN/dZw0L2k/VJzc848P21 7mWezSzMm4mXWnOvDvR5LN7XE33kqw5GLllSCDweJds+r6LQ1OKZudxFwt+h ud3zNCnUlZYc+9HfCq0vz2bn7aLQqc+6KPVzGlh2/Z7jdoj08SMijp0+eeCk Eip3y4rCF8/mPX0Y3AGuj4Zd+JwoTIqpmqdyjw0swbejWvcofLR+8Zzbv0pB PuHLsFYEhZe8xrIdPFnQafuhNi2F8G75SS2Dea2QyOdS/riY+L9vb1i4HweO Wc/ESHZRmGfSZdZM8viFwUZx4c8UZv/4+23FYC1st1BqDJqisOZM36sZwv/1 Oo8jinhplNI182rf1QS5Z859TV9G8qFM121jdDTUlkyvFFSiMd27tGShZQVM Dqx3FNWi8Zubvv4RBQ5IaK+YSd1D+nt1nNVsZBtY2Gck9R+lkV2hG524NQdm Xx14/smW9JmFPksODuZB67WBvuM3aTSwFBPiXsCGkqFFfNd9aTzTvM5yjisb Qn2nbaVpGp8fzRs7b14Cqd8bjAczCc961UZ5nI0B7dTIv/3lNC764XD7Z1Yz 1PnL919oIzyhnDoamMyByztCbIK+kf5lm2I2yPaDeNtqzt8ZGkdaM3n7X9bB mK2/2QIhBtcLTm+1IXpWjxFfnLSC+DNX+eRT+0ZIf+i+/9R6BsW2VglsO8ZA UsfXw/uBQR5m6G7jUBkE6CyNaNvH4H17Huszs2TeHvaNfz3J4DMstLJIbIfA OWfuU5cYvDWoZmfBmwfV2xpo29sMZpduU1u7NQ2cmlRv2QUS/jzSVxnxsw0k vMxC/8UyqLA4gmdQgAO94suaVPMYXM7mevY0ogK43v+8q1HN4LpPww4vVoSD 8bsnUknPGFyj0in/4W8TlBXJvix9T/q+f7Ty/loOZN/etUFmDuFL6SdtpVcC oTbKyF58MQu5d2fyH7WvhpZ3Qv3RcqQvaT4Oik3lwNisg0O1BgvXmgo2XIIW 4BKq0axWpjDFcO4WlhfR98flJol7SR9KsSqPyvEHVe9DFfrHKfxcaFyoRvLL Zq7F6Hc7wq9pn9Nvk/7y7MNY39dbFPIu95UabWwECesD5xr8KVx3b4vb78VR wP10+5dbOSRPti2xX2VEeNdTe2JzJYVB8o6LtJ63gng2p1yfTaGRkZRL2P1M OPY69e67Pgo36JkYix7Lhj8fDYXcvlNYqmjT4nupA+pM7hx14KKxNmbX+7cN bLhy6tbW7YtofL/tZ2/dsTLIWNmWskCWxiMdaV/kNWiQfZZ47bUajXt355y4 2t0MLqt2dj/UIf1bo96ulvjhWTXbwktnaJTxy9d26vSDw1pFv/c50phn2HM2 3bce7mk8YGl60qi+ziNDhbxveLts769QGldtMapsaWyAzlbjTsEkGsdqtBW5 N0bBWPYfP5M60l/Ktm+1USHn+72R3/AljZ0PFq//tbIdkl4cXyEz+P9+f2LZ xWryfhf0KsYnacz8MUftcUAe+I8WVbTxMPgSGpT8r3QA95Jvpp5LGGwJG1ql 5En8U61uRm4Tg/FxNSYmPuHwkGKWlO9mcFWDSU+YUTO8suH7nnqYwU+ua7dt I35tmf2fb6Azg+mpwX36zf5QotWX+j6SwZUHF4l1FXHg6QE98/epDG5/PruN e6gZkvgcWRWlDIaO5yj9xx0PTR0zCS49DPLHhszL6mHD0db2i5u/MOgo8Cop 5E47SCir/dzzl0HfL3cre7XyYSbwlesgHwvXTXR2+b1Lgi0cgwav5Sx89TA3 x22wDRIcjZ/dWMvCt2dG3au3cOC9xpTnJ+K3m4zDT+2qLIDGt9cqfshSuE/u qfeaETbYrFm85KM6mTe6uzBVoANGFl2fV7iTwgfCefFVzXmQOXL60MODFObE xYXMvEyBKed4VcszpJ831W2QutkG8impcYscyXwJ2e8akOWARlJSw8ow4oew Q9tCJRT4lhg/Lkii0CdWdPyETxMIj9y3pwop5Lw68YTdTvyuefHptZ0U/hD8 t+3K4SCwoEPPRE8S/30TJ3gzivBvQat2yBIaTdQVukx6E6Fz8ZfoyU00es2c ux7txgaZJT7aOfo08lQ/uzp4twMuPC1partA8luYxZ/ApMBxnj+j1i40nt7c fz2X9PfbuW0vzXxo3FnrqiIsz4HazT4qE+k0CrnPC916KxiCV3NF1JbReHSD ca3C8waAom1hl1uIHq6LVES+5MC+68kvnUdo/OzyON6dPK/KncnwYQHSF5nd Y8PkebVkvyVeWscgTETknS9KBlvqv/Oa2xlcdKDl7mjbI7hV0lvZuZfBBe61 q3MPsaF8k35363EGS+fd++yKbNCy2Rjh7EbOv1n6jp9nLKxet0t9vz+Ducqi f1YHtsD3IIkzc1kM7qXv3Zu9Qz7vXyGvRCWDjULfat85BYBJ3qb10f0MlilB iy3pm9HTlvEq/5HzX8c6lvE6AsS235ZLWMnCHz8URrj2EJ4I8rKPVWPhhmqp RxNpbVBte7u4RYnC7zHHlus0kj6zUiUtxZDCcxbfDz4qD4AR4wvTz21JPz16 ZPhjCgf+BhboJ/pSyBOfvbNiMgE22qS8u59F4Y7rm63qK9hgeW5v8rIKCi+8 smuumW0HSagw+P6GQq9GTy4t0mK/u/EEnf5GEb+/Eh5g2gYDoV9+Xp+h8M3m mq2bTDigfEXj948VNN6LeeGk8DMYjpjOzNohjVwLNp75RPImHl3zjE6R/AoZ 6Rw4FwRLa1k54EFjTcNZ44WZ5Hy3lT0WSaBRUqY7VvVKAuitO624sYbGlBot 3zBvNhxa2l9p8pzGXp0tdqt+dkAXy1yxd4LwHV/G/jiZFAhuv7Gzey6DC2uS TC3vtIG2slmYlRjhbTrx0d61HJhu0Dioocng3/O/Bo4rB0Jdf9uy/ENEr5XP nP///VXmHImHIU6EdzqeC51aHwbnmfHjdeEMrv3kEFJ2lPjdCT6FoWQGdY6/ EJfSaINHe98oxhST/OHLZ59fkwEmgYU/3RsZtFc8ruCrVwBKofY6Xl0MKo+L GqxazYax+oH6pUMMPvwnHvFGjQ3DAuNDE7wslIoZsDjtRsGxu3w/Lixj4W3W Ls7O2y3wtaNCzEORhV/eu/M6MBzYJf+37O1qCkWYKuOMx+R5o0wOZ++m0Gra 3DsyMA7GBrzEo60p3NycN/8Niw2cp8qmc5wJ31f0bdp7vQOWxqkJmkZRyJU2 PHPrUyrEVrq0M2nk/JZG3Tyq2g6bFW35ekspbDt7wP2oKAeouUMvF/ZQGPLA cDTlZxCsWFap/OAP6X8Pvxg7Ef9XWcxFVS+n0WqpRUWwETnPAse96tto5Jta 774hmgNSJ2PS5h6ncVz3ubLohSTQ+tjacdCN9Kd+QS3DWjZ8lzXTjvCncSov ZWvppg7wTZ3n0JVNo/7OPI/rQkkwoqhm+a+Cxpevq84oqrfBHmvBtac7aIx8 YreJdzcHQvhvz6Z9J33tpO2k3LdgKDJbLa6wiMF2ow1R/583iZ/C0wfUiF5D Bmzan4dAXKupXe0BBs/z3WBvvMEB3ew9D6KuMLjsq/SrkoepsEfoSOIJDwZ3 SZmEb7bLh3oryUafYAZ5NaPG70x2wE7n4LrJeAYVH1hyIs6zob5ec9aolkGb jR0HTrjEgWz5QtfuDwyqbrp3zeUaB6rnKtUvmkf481WXRaOAP9y5x6KC5Vno WBx9amcnByB/XkGJCoUnPu2NlV9M9jNtwd/YfRRWrS99MuIUCoOlRu8XXiJ9 pODqwZvEfzdv/3Z3OJBCpfm/P4TcDYTWxS8mruRR+CtcwupuGgc85Rb/2PmM wgUntgZI1SXAnL1BflFjhCf7/kgsD2ZDqvCSp+e4CZ+1Mg4HhNigxDlntnIV jWqhogf+k00Bly5/PrYGjbz/bM+/UWqD6Anv/DRdGqMvsI/VEP2skbUoDbWi cYmfB+elYgj8jL8SsPYejYIK7CZ/DgcGjw1850uh8Vet+8zgj0CIVQ0Zs2+g UUtFYzWLJn3HKS5b5zONOdLyG5PnJ4GP8MSWal7in53ayydIntf/d080YRmD MjHG2zX2d8DraLN00S0MhgezfvpsjIPhCb16ljmDr2tjFqwj5ydqPuTr58Ig fWjKidcvAPheNY/PRhO+M7FpP0T0HNnAJ/b+MYN3Lra8/3ElHM7zB8y79Jr0 z93OKj0nOXD0/sU7ev8YFLddnVlQnA4iYuULuwRYeKEjyGJwZy6Ir3hAx0mx 8LGl/t7Rzx1gvuyt/+V1RK+H5VaXJbEht1mv8xfJ69+BIkv/hhZAWXB87C0Z CvVcnpzfQfq9zMl2uW2qhG/WbF79PpoNom/2qm/ZQaFiM1ve0aoE+PVW/11+ gMLd8hUY8DUGJM0muMotKdQOODttaNYMZUvEg6MvUximtaZ/YSIHepS3f7W9 Q+F8w38fUnproHaNv4VHMIUCUmM+/AV+sHCdiYNOAoWPR2rmfRSuh1dey/f+ zKew3VdC3o7wjkrg5qLBGgqpNdcPTEEj+Hhldz95TmH0uVVijQ0UcMlKaJkM UDiyocr+o3cZcF3qlpefoHDUPKjmqhCZr0VM7/AcGt3T2oWN6trhWaRv4k9R whvX35346JQLbkrfRNLlaXwi+aFXksqBbKFDhgc0aay2F14x8rgdzicLCW3S o/Fh9UV2exEbkgM7KCEzGhW65/evulEO2Zal29dZ0/hC8Nyyl17RILJV3HPi Oo1ZfINSdW4t8Oe8c2i2N+E1H3uVRSQv7PVVVFMiiV9s/x2c4FENn0S23/NK pdEx0aHIqdQPbnjuWLayhMayfzlzpd7VQGRK1Ka/jTQOh63edq6F6En614rG Lho3RV9pviDTDIkubst7hggvaVBL0vgYsHvnXB72h0ZqvzhPdOkTKIlxXqPL x+CMvGOHDjcHAue3SqktZ3B6Y4iCTlsb2J9wbp+zlkE/yT1v34nlwdljEuUh WgwWNC4wV+5JgUF+Yc3ThmTdt+iG/u12GBbkd5azIP315omta2U44Fpjrid3 kfhJsnPaZsknIHzmvw7emwxmFfnKVD8Kgco0JjTjIYPdYwK8bSKNMB0X8NGX InyW9/7hIXK+ZV+9uE5lEp7KKO7R3loPOiuSVVyeMNh84BnrLx0IChZbuLe3 MzhhPd/taUgNBA5zWGNvGAxUz5nMTOLAvbUVjYPfSN92na7osmiG24fnZFbO MKSvg0QEJEKIknbrYUEWcv05GmKpUgjqOa3X161gISM5uIsOYIOpt+XXnyos XBTzoHGVKBtOzmu7f4fow/3Cf/dodiEUrMiKOqxAYYU711EDkh/ai3VVnm6m 0NZ+h+/CHY0QOjK3c60BhZPOIiM7daKgd+JO4eARCgfecS5K/yoHYeXHresv UBi1O1OIR4oDIgbSv27doPAmerp/W9gOpl65Z6YeUGjh81srXygX/Fckfx6M pnBt1J1hszl5sOV2Rph4BoWdpmZHJiM6YA1Xv+eVxxRe96hvvRrGhndW2t7P Wyjc43SfzTVUCr5/jlR59BI+O//zVNeTCFhVsV6j8guFK//NET+i2Az3rVVL uKfJ8yb+SNtQTvqvqqX7ZQEaF19+8LyKvxbazcZPmEqRfpMVaGb11A9e7ww/ 57yOxn3tC2ylE2tBdf/53MbtNDYezy640Ux4U+fsQmljMo9qXDK27k2QfTAg k3WCxqR8U0/5AAZ4aqTOhjnQGFYZtm795gpon3q8s9WdxqX+0rtr1TjQtfeB 1fpAwl+KrsZxyW2Qe/92dEQsycf7NT7X/LLh+pjGfONcGteMCoRtjsiEdQ8T MoIraZy0P7On8mU7ZC/YfuY1m8bXa3+8Futng2PKvOMm70ieB9yv3qtUDsoJ ag7bxmjssi04JD4bBeZWdmnW3KTfmOeoPaGboUmvS/6pCOGnq2fM/2VzYK6g XeFyOcLvIkcDNnjVgOrcipv16gz+O4Z1ly8GwB7FFtdZHQa3xHzwFLhUAyob uP23HyR6GLfNLSngwOET59+nnGHw5PTUg70uzWBoP2WwxJHBRCfpQVvjeFDN 0h16cZdBt+KjxUFHi2Hu8r2VMqEMVmfuzWqJZEO8vXv65UTSB6TOemcxHeD5 rr/zWwGDas1cyUaknx3NT1reX8fg/daN/AbRqZBo4HJfpJPBoAjTU1Pz20GV y23T5UGiv9fCy1PFOHCfyvj9YpLBJt4+zpB1BXCsw8bv8bAwwTNiz8qwIJh/ eqt8gzgLx9WusrjnNAKfDr+NwBoWWuyQaN3RxYH9O/h+3NrEQlnbp6lrDeoh 1HJ+ezXRh2pGaMCvlYWwsXsNbbOKzPshLde0/cSvtyxIu7WB8Jy7Td4rxzZ4 cVbRU30XhdMGLt3LtTLhqpTpkf8OET9f6r9i5RySV1WvBn+eJevmuhuixTvg nGq0ru810h9eqjSX5LFhabeTQr4XWS8XMR52fAypchLxBeEUNn2riFgnSEFC p5uHcgqFcbeXWT+ya4HZ6n+fNYopTNAUt1+fwAGByrt7Y19RKPuR3n+qxw9E vidufPCJwv6L1xONxWuh9svc0cVT5H59W1/+///7emXc16nwEt57BWd0fjUB +9fT/+SX0Sg6Lr9g3xANKpuqtwUp0ri1ccusZ005fMt5+893C+E/6Suxy+dw 4NjEFn+lPTQeWKMdkrS8HZSu5CQePkrm0/yPe+lYLvQEfdl/ypbG+pWfskS2 5cL3ZUNn+l1pjC3dPv0hqQNsern+fXtI46nt84sj0tkQeP6wFYsi+msZXVhR XAo5HiX1FzLJ3/tzeFYmRcJz7yvvzctp7Kyrf9g50wSJR2zbvrSSPLg1r+9j EQc+Cx7Zxf+NxqLOc00uVX5wRm48322Gxg0n56UXLa2DHZdTk+8IkjxoKnM8 TfTc7ENdWL2CQcOhtXtslzaBsVqM/EcVBmV9lkn9ehcLndVjMU3aDA4t99iy YHUp8Mk8eLdvH/H3iqHRC91siCvakmV1ksGUI/svCcl3wMBSRX2pSwy2fClT LTbKBxleudff3Blc8er+j1M1yXD6/TWlwQAGT3s2px6zaoP99+fru8eSeXea ckpW4QBj/ehLSi6DVornytYIVUL7Z3n5rCrSb/9rcpkYC4Fzz8zr1jwjfm9a q51m2gSWP1O+qL1nUGLDaLdKBwfSTrZ2JHCz8F+WRcW78iDYW1/uHCDCwvy1 Zwciw6uAmfryXVKOhX2Vw6p+YRwwOas5ukWDhT3rbt5xeN8CqufUw3WVKRwa abjSSvjAzLF/jfxewpv7Cg8d6PKDna05Iq3HKDxkXui3q7QW+CKY/At2FCaW Xb83RPKt/FR8msMtCt8vGzm19FITBKsNM9r+FKp4GiwS3U1Bh2JXKlcOhfsW r/i2ax3h/+3VMnlPKVRX8NTcad0Gj/dXjTZ1kD5l+6hQ8Gs2CGiqaFr1Ubim InL/a/8M2Oxbtv7XKOGjyQppmfF2MBqwuPNjlvj9mrNG3d/Y4A07OAXCNPYY ZWeL9DyG1sLV5XdX0qi+cu7l+fOjwXe/TeBJNRqdinQOzG5uhivff5yeq0Pj cvsWzcU5HNig6VDw6TSNbpma5TYkD9Qn9l1vukqjwKvQ5w61dZD+yl+u5C6N P+5f+TxF3le/clG7QyiNwd6YYeXRCM9S0zoCEmkcii5r91xPgbf/C8eWWhp3 m7jxvl9A8r9M8HfrCxpnbe99bGTaQWTE1zXiI8mfEwO/mEe5cGUTf5TdJI3n wteohrzMgX0pn1j7eRgc37bS2HOmHQ5I8iZNizN4O8bOcjafDcKv+p+nbGRQ rvGQ30LHUCgPSLDQ3M2g0G/vtVwxTWCi76q19jDx6wMFFd9bOfCopsFwkTOD IoFyPlnagZB4cJWZRSSDuz+EFkiSfjFh+kvgbCqZ59DThg88WuC8hWC1Zinh dW8fizVSifC+MtrwXzeDn9tdkr4Tv+LiN72bO8xg6h7BmeA5HcB3SFak9Q+D B98JWy3xfAS/HU4sseFjobH070W7chKg+l8pZ0aChUvfdInNHmoDp4dKA3+V WHg8VT31wmEOrPdPvDRA/Pbm1xHV5S0FMKX5UdpRlsL8KbHxdMKjCq22g8fU KRSSX3Fr4/0OmIjd2qu5k0IX5ZsSWSKP4KnakzTBgxTyuyjKdN5Igij+wfGu 0xQ+WJUw8HSwFYRXHbENuUrmbXayp0iHA0XyL9xiQil8dndO0WvzYOi689l5 UxLhs/92Ce7rbwTbRIEY0UIKl628Z6dLeLBZNmpxzkvCBw53+IU+B8P7dQ4+ kpOE362KjH7eJXrSX31w4RIaRRY1JhwRS4H2vqhVDptoVF2kWx1iyIbTbYnt qvo0MsplO6R+dIDuDZPduy/QOPrkdWHksiTwSJ+9OnyDxor6U7HwpA3U48sb 2x/Q2H2wQ2UB4emWZpfk6+k03jQLCg2WCILVPD23tpeRvmGz5E2xcANI3/bw GG+mUe9eVWRBNwfqdW1zx74QHtjjUjXNHwK37gl/Oi1A/GhhclGyBwfeNixw mVBm0P1E/6hebypQATyZ2dsYbDikcbBMKB+mwoz4zfcyaGJQtn1Ijg11p+OD dY8zuCBySnbsKhsiNYNf/r3F4MdbK7fsTqRBRM+nr9GP8FoSoyb+uRlWh7WI 32MYzNU05VRFcIB37mBayFNyvzm/O+xU/GFqtHyXSD+DP/p51vGQvhnW+2l7 PhcL+WeG3atjouHzwWMb5FeycINQ/vMnShx49nPPtyVqLCzmGrizaGM7jFWP LjFWInl82WzmKOFbx9wxNwVDCu8c0HATnQwEv3eZT41sKXSMetO/JoSsW+y9 s9yX+FNkfn+uajLMfbmDxZ9FYRfvnUXzQ9nwWJrzLOgJhSwTv5l41w5ojdj5 9+obMg8P5iUGqseDivy1vN6vhNdOLhr+9aQVbOTrJf/8o3DR+IEuGzsOGPH4 Lby4gkbTfdnsCssg2C+T9WAQaAw4InhDipzHZV333BpLGu+YS98OUQqBbeeT NKrv0Gimr/4pJYoDlUvFCkPiaVx7TKlnp2sS9AhsE86pppHt148mh9iw4b18 9otnJH9D10auUmHDPjvpuYcmSF4mz4wIpSaC6b30VcfmEv6ezxmK+tUKfmqX Pr4RZbDojCNXmBEHYu32KRRvYHDDsZ2LTVv8ASu0z244RPKwomfVHvJ8s0v7 94g6kf52qkHdKCYCTIs382uHEz0vmXw+qMWB1lOPe22SGRxs++roUkr0y1w3 Eilm0GdvXsifvCyQifgY/ruBQZ2ZmfMr7uWDjhff8PwukncfvUpuD3RA5LwL bwI/M9h/+93CpefY8PHLDS9nXhYqs9f5FNFR8CHH5e/7pSysnLfzl3RXM1QO Rq+eq8jCK3Lz2aK5HHC6abP81Gqi34aCz0cJXxYoLFm3fjeFl665feW/lQAh Tk3dItYUnt7rGqfnwIbyba+lvK5TuHPmMs/Yhw6IWWlZ1xZJYV7/x8Xq+slg v1bMd2Ua4Y+LNp9uZ7VByLtvGw+Wkr4Wq8bq3kTO87i9d1A3hYV9ObLKeYGQ nBZ9kP8Pud/yF12XeggPpJjnbltOY7gh7+TP6WAQvi33Kn0rjbl+s/PmEz8Y Oc1KdT1GY+XFDOHB4hQ48eDZwc5bNPa+FXzxOor0X9FdakL+NG5j63n/ze2A EK3JQYtsGjefeTgR/C0ebi/g3+1UQXjcIIL5HNUKimqmSz+007gyfbWr7RkO 8HXr9sh9J34ytPpT/NEgmHcMz8UKM3gsjHvBCnKeFdHKnJeqDEYf67RTGw8D yfS6Yr0DDGbqtDbvOcmBiBphA4krDEYantqmwUmH1J5H79/dIX0n5KyPb28u 5LudujYnmPjB6y/KIrc7wNl15w3neAZbVQJk54azIbTNKra+hsFf81JhnwQL Gv8EBx34wOCyykV1Tv4ceDKQeypsLgs/D29VDMj2A1PaNUtUnoUmWwyDr5G+ cmnBNdGtKqS/7sifq7GBAxs3t7NX7iN6fLDmzLuMYPA2Cky650ChadCXvgXE f3Pne5efCqRwoTyMWv4Jgmg3+/yfuRTWbGexH4VzQKGee1Udh0JNvxShRk4S 4PhslsgYhT/DGaEMSzasj/vx8fN/NCZcttbN38GGPVaVNjFyRD+FG+pN0xPh g5mp/EENGvXXX1YQYFohuHLjNlldGqf5B4p+EP1Myp8s4beiUShd1aHnThBI 7HZenO1F4zf2W2Fv4l/vN2sPP0ymUfesfehe+2DYIGzX/amexnejM+9FvTlg 6c/mK/tEY3Zi6P43+1LAsHHV8l28hF8idlmYm7FBbH7s2eXLGFyamd0w0NAB t/GKe+RmBkv45E/t/8SA1bNiYVlzBk9I72UmAjhgbZ9jJOjC4DfNBfxHd/vD 5KhQnHM0g7uO7PjYQPbLYmnSJvPHDEbxz5zw2h0Ft6eVssZ6GYxrankmsJMD e/KOMw3TDP5WWLggTjALFk7opFkIsNDmnPpVKjoLWIa/UySkWBhnb1EkcKUD lFXLWOPKLJTzYm1e3sGG6VXjVeMkr1c/TS5qYRXAkQ81fc4rKbSVD7vCvkj0 /fiyiZgJ0ZP+bplVZnHwUap4JvwKhZmue9LO3yDzuVrtq38IhVohM/pR6QGw Ukx0Ym4B4Xsr/903ib6UXiQ4Fb0g/DISYXRjTQSMGa/qkvlJodsG+VO1+8j1 139tstxI4321tKa2og6YGvHS0TpPo4L0tTlh5bEQ7hWdXXGfRrvjMs0BtznQ /c0i3C2NRs/Jx6PCsf7Qs1jw+K8mcn3/WEYB4b/CvgmrwWEan1z1LZ6ojIDl QbreB/nJvKPtcXcDDrwqMZu34RjhaQWf/7rZbDBtNTDhJvkXErvWeuuvCAiO Wef2gGZw2E3IR6GMA8mL9EbuVTCYPOCBbtz+oGvXcIW7j0Gvhyt5btdx4GHU T8fSWQZLVd72SN2NBb87omaKMixcFZe/XGmADSaX27tMFMn8blrAdZHsh2e7 q5LSHpJPRWuHRw+HQgfPBj1tGwo/htlLSRA9M+lOEosyKSw76yRXp8kGZQPj E66vKZx5XvFtmSkNLnquNjPTFIrnn7N+Rfq9vwputJSm0eLIu6nPj0gelPDR r7TJvLr/kxok+yFs5J2dd5LGdd91bE35I8EzN3drw20a5223eltly4G5raNv YqvI9Tjnum1bB2jzppbqj9No5ToYIXkmFtZuS/RqX8yg0fGo7BpPwmcl955V aBD+P8QVJpzvB5tvyPzebEr66eTHoRVtHEjaebFZ7BrZb7EZ/WZ3GpSHqq3W hzF4VNVrSf13NnzwuMp35xODrpdriyjSB3vTvMvd57OwaCDyj+1IKJwVPajP q8DC9a3D73QJ33UqGby2kqdwWHHPzTDy+S9j9lvOPUdhfGvXmvE5xH9ln2hU RVC4WyHk8v3CODAwmQzYWUL8Q6J1/KYjBzIFbwxHdpF+aPryP+Vd/lDUvC9O 6DeFuo8WlmoSvQd2CHSrStCYyHIK/50aATNL7gzHaNFoU3RGTHwPB1I5byx6 b9JYbB5Fq28jvHjiVefpLBp38LlK2t5hYLC2b+xTG+kD21ydNUg/+XO1PWDJ KI1l3R7he7L8IeGcI0+QEIOmZhdN3pHz4Bk84/pmPelrxvw167fHgKhVipHh fgarhnT1Tshy4MOdpH7XOAYnOP+lq31mg3pv3fvSauLPv3maxR5FgqgzXbFj gFwvZbzzYyHhgbiKSGoOC5kqB6Uq0QCYatboWLqKhcmb+PITSjjALj74EtZR mO6jI+ZI+o2e2eGbcsYUNpg1aPhIBkLT5SXKzvYUzh01N/Yj8xlPlazbH0Dy 1/Cf99v/1XTm4VS93/vXJDIUqSiUIUooJSJZ640mJBmikqKkMiaKBmMalHnW 3vuQikpmisiYzM6JaJBKVGYqQuj79Lt+H/+dy2Xv/Txrrft+3Wc7++yIAVWz ZKU/JO9pxr3ynH2S5EP4MDh3hMK28lDVM99Iv5Tf3zTARXh29P5ZLoYNQcFn I0OlaTQfKKiKPZEI/pZRexfr0jhrMnjlb1K/aCX7/IljNLqZ/D3zqzwEbEMD VuRcoXHayXDYgpz/3fDP9uB7NM7UnL2xLioGrJtWpbx9QaO2xfvc80Qvqm8+ WJuoTvjUcoPrpfE4sAqOvydnyeCmuneiPrkcEIjfWr/Qi0Gt3L4l+z4GQ71U wp9T8QxqRCV38pB57Sx4e2lnIYOxB2yPO/AnQmaH7dTvdwzWihfznOXiwJxs 40+2fCRPm/COzNmeCuzDbmW/17Hwp/j4/NViHIi7xm3tIkPhe91XQamLOKCp MNEW6k6hb3b9eTHy95my5xelRlN48HZtSdCJGMjbNE9HNp/06/pFKU0VHDh9 JiQzpZXChvUfMh6vCYMW/kIt0d8USn4Uzvr1iAONzzs6O4LI/uXkVNz7y4bi +/H5ro9oXPZnwe5ZqlFwtH8sZaiORrlXel8cGjnw5sHnyZl+Gr0UnwYPiITB x4vtO9wEGDR/c/Vn0mMOtDPvLEe9Sf58+vTEZ/s7UBhyKsOfRV67lLDUT3HA cSzQPrGUQc2XQpNDZWGQ5pYtKv2ZQQxKsdIm9WBJvON+NIuFvK/mZN13jwYd ubvCUtIsdKhZ5r71BAciRIQsdq+j8JJBXfiqIg4cjzjVLGdI4YFXry9MWYSA YdFqjUOOxE8686kVBRzwr1qxSCmYwkWFP7qOdiSB49ctcY4dFNLstU3gcx+s 5go1jc5QOOJmlbmA8AR/x9uu86tIP8j6UXv7yPqv7z03iiR/C1j4yteRPKF1 Pvu1DY3BVcgzIxYGv1YmrCv2p9HXOrDZ/hkHhuS0tg8sYVBfiHU7jpsDltKi 3hmbGXw/uE38wI5w0J9zuGn9fgbZfgUmWwhvHRg0rRM+T/plfIWCt2wkXApM zzSMJX5gfrqP7zw5npKj0RleFkpq5ZuZFbNgeUHnXC6Sf2cFmz+tuMEBkcab B63kKWzvr1QYfMmBuwtC/JR2kfVGaSo1BLHgg+u3D7aFxA9u8te5DLCh/9Ex 2aB3FAY8+KMZExwJcde7583/Q+ELwyfCTiQPCfrcv7ZLnCb6KnewSCAMVn1/ UVGgReOH912FbaS+jnT1tk9NNKYN5k48lOeAuPYz2Q0jNMpPM3syvkSB/T7+ qgwhBl3eJR2QIft1bu+oXKMKg9UbGSv9xREgN/RFWseEQQWXZT9FwzgwXjLP urmSwatL92F1YjJcunz9uE03gwuPrPTmOsCBl6uTFULmsTBFhhJ6JxoK6S4V NxfJsfCVqSL/X7J/csu3r15lTGGBZ49/xu0Y2CHPuzLalUJTr1yTU6T/S93M Dc6GU7i+4GmCOHco/E3VUB/OorDUr5zPgPTHnTVv16hsp3Hj1UQ+hfmkXpIW hRInaFx08UqMxZZoYM848j24SuPE766S4GoO9Ppe/30jheh1Y7O/05NQ4NtX wDf2kkadzdMlySRvbBnVfB2mwWBbENOkrJAMzstaL0ocJP0vIH70JPHbcl2Z Bv6LDAbrvDpwnPS/5PPAHdduMyhcZRxkSfq/5Zzrj9NFDPJ12s87xxcFxst/ Hh5oZ/D77Xe77hL+Oeaa0PuH8JN3Zn71uqBcMNF+x9b+d39yk62W5AfS0lkX +MbXU8hR7W6dlU3ytuwGegJJf0hc13YTKYCok6b3PpD9slbKpa55JYDjyhhb z6MUHvno5/x7ugY2tA6cO3SG9MOXxkkOyUtLI27ckPejMK5x33uOdiVwn1yt DhEUrnrt/X5VfjC4265snJNM4ZJ6JmlhzguYa3v4WFY2hY8mt9Q8JvX3tcnc m1JB5tX4QkBjdDV0qpzJ9mmm8BgrdeFlGwYkPfbVCn6hcP77sDtt9wpA7+kO ja8/iZ86cB+9PM2GEC7f+/fnkHzrnrogf14TdNoWpGeL0Oh/1sdVfGUW5PYY JzqsJn45sjtTcXU6PPRQDBPYTON5qytC0l6NcGOWRNtvUt8Xbh69B+vI8SL2 ideZE/7O954+o1kMt7ddneoh9Q79Zb42USAeZAXEqvLOEx50KbberlIHzZ+H gk9fI7//fqCliOi9Y/77NPs4GpOaJQ1KOsqh99BmnZ2phP/WluiKDQeDnnv6 rQ9PSL4TPRMeeb4Crt3SUi6qphH8uNbLVXFg8IFgY8AbwkN336aNnauFo58/ 8cT20Pjpw4NlSq9ZYLRNSMlikkb+a2ZNRb1FcJQJ3Mu1gMFr7Lhu3UE2WP0V rBlZTvSltbHORLARUIW74IUCgxfi4JR7ThZMvRa3NtZk0GNbQoFD8H24e2HX QRkDBv8UbdDj/q8RnGWfmn0k/bhxwZKstyockG3Uuv/FgcEHIcWnDNnFULpr vXMt6c8rdSrWXG8jQE3tvz77mwyaHI1tT89+CbEyJ0v2UAyGWf8oGm0m87+0 OVw8jUGvxs+CelQVPJTW/qtWzOC+xtiKhYbhkGs6f/9MA4O3r2YvtlOpgK4b Io/SPzDYfujenMu3OTBTomaRMsigRLXBxguPamGmqsrLf4bBFr1NrpV4D97g uX0igiw8yIQ7d+3OBapQ03dQkoXckuaGHz3ZcEVD93GWMgv3y16Je7SeDVc3 Jnv7kPk4baiWsqw1DwzrumpE11AofV1gMLaFA7Td8JKLW4h/OgtobKKrQVT1 G/YTvVy564JhYl4CHF+WcSTVksLztc1DJmvI/o9aKfefpHDWUhkV0wUcuDZ/ 7L22F4UxFa02XnsaIax36m/ODQrtPA9n/leYCewj2yqTEyhEy7uiziqZkJjn +avtIYUirp+ogCNNYNYudVv5GYWR7d6aeWlsUFXPXxVVR/zHZZmyUXwhdN1f kaD3nsLbB6PnC4THgK6QfcWlPgo9+Kpto9k1UJ9B11UQvb5zUn7ofjkHtFbq 6CvxE39Oi7oU51wJHatWnRKSoPErn9SBg3NDQHjOxE8NJcLba0I1XulWgmI+ jF7ZRmNF+cdl9ys54EKfed2xh8bIyanBm5waiDEXUjxkTWPRsVuxg6qJ8JPV K23iQvqz5IwjHCyGT7XPA4N9aEypE/M5JsWB7CquI32hNDHDkdSdAw2QPqa0 zDKRRoWtL3vXv8iAC1sVKxZm0nij1Kdyz5ZHMH5h0cq9pTQ+2KD9uCqyEZjB jwdoNo1mLmYtIj/ZoLBJgk/wM40GZbfqa0j/f+eNspog/sJXrG62KTwONMvm LV87m8EXZrFrF++pBdfd3XsuChOe9RfLP/CE8Oe8zKPt0sRP9ZJlln+ugNlt BvbXNzJ4y6nMdZDwT+edBokiHQZP5Q3ILuWugP47mjkzxI+knQPK8ojetZ9d UnLsGINn37KzLZpq4Zfn+wdtZxnk6mh/sGJnMnyMcLseE8Cgkq5m2N+r+XAh ZWjph0gGbwqe5En1ZcO2YYsrG+8yqLOopghfN8FXXuWTD3MZjDCqyqv8kwvl edv6qRcM3pgxe3J+Rwps0NnV3vyawVK20WKzqgYIYJXqKH1l8Mge/5lq4q9c KrLXo8cYXCL5xCJQvASM2izLdnGzUDrq8WDuzzAw9Dz7MGApC522XJEfv/MS zu7xcmsg/tg97eXWRvzR92d/poY6C338b+9+86AKCoM/VJT+m4/XdbNPyudB 45UjDetkKbRoPGpT+x/JdzfzwjRUKRwE66LYogawTOMb+qFH4eXIgHeDpx7D FPjNrjCjsGxNXJZYcDqcCPLalX2cwozDgRbrWxvh/eCZtXs8KLz4tLriZBXJ u9oVlU6BFEolZ1zpUC2C3mNZl8/EEP81l8nXv5QAC/gNPw/cp7DHhe+Z8Ko6 UGTB3yHCr18yxo0fknocd9whZ9tGoZXkvbI/G0JARbe9avs3Cmv0r6sZPq4A HlW32a8Jz2pFhZ7rL+PA14U24z3zaWzUOf5Qy6gWPpX183WKEp7TnnfmYhYL jo3J1pqspTF34rGC4q9n0LskX2e3Bo29YRm864fYcGnvzv19u2nc1FrsM+9Q Iwi7q8guPkjy7R6Flp2JWfDS+elCSQcaW0S6KLuOdJjd33cv6SKNj42nCrOd mkDXzHPs4U0yL5qvF68qI37TOrfzCEX6+ZPqsMzJQsiuy/Rfl0Zj56UFt1Ps Y4E5/9F8aRGNZefatYzu1UDkNsHKtHoaJTeZG/QXE57zKNxYPUDjre7vNQq8 IaDnc1MGZ2jMCbtWK1hQCd/P5jVuE2SQVbHP4jqZ5xj/jyLfJBncNZ9DdTrU wKq5axelKDM4U9gb7FGdBC5ao9uuahPeen80ZVjnKVSHlHEL7WVQJMn/h9EL NsjVf70hdYTB2SNbLAWPNcEtGf7UDy4MRispntUeyYamAeOLmT5kvj4KreuM J/rsLOp3J5T4k9aW5r7lDdDL+0kK//3///z8uFPapH/DuC4fy2QwpKlJccuZ UlDrLx49Vfbv/aNB16lZkfCjVl6sh8Og22ZTBce/1ZAT1Ts2QPKAcHdPyy7i L3JNobTdbJLXOQYxuVcjIKL917SBMAvt/bll+taWwfy5Byc+kHygbPyA/SGI 8P5S0YzRjSy8dTuX+apSD9VCp6vmKVKYwKXC0fn3/1bPyiO6SV6YPrnaVymL 5LXB9qJgKwpzykvv6B+ohINHUUTOicLaOVq/dtdzYOOqCyEbLlP41O3lMZ3y GmiMUds6SfIE+2OI6ba5DKgduTe/PJ3CiAwR2yfiHLgkNlfdqYTCB00Oe8Uy GkBQWuNGUBPh0VdynU+FM+H452EB+Y/ET840+ChqPIT9H0dKcoYolLvdfXg6 i/jJupqo7L8k/8avlYBZJO8oy1Cui2gMcsei/vgiaPcxrUIpGg2Lx74oxcdB 2cIGCSkVGpukfs8s/FYDzvtrUkr/I/zimsl9muihuPrIpmRbGhMq5UxY3CGw kiOudvUs0eP9f55PWL+Aogfhdl4BNKae32RYQNYrpXHj5booGqP3qkqWfKgG 9lILQ+O7NDY4ilny1NFg4v3f92uVNBaeqlDaN8aGB6ysoeAWGq9v6TJQf98I 1efvrjXtJv0ry9k4fSQLlBmnqwpjNEpvNToT9186bJjju0iYm8F4ubOfT5Y3 wrjkkoanSxnMVd5usraGDZ0PnJ+fUmNwdz6nQOJGJJjz3p8e2cFgz5K0IgOs gUVPco70k/xksXZISp7kFavGh484JD8dKsrRT+eEwfJPVWnL4hhsXJPr2pfA gdDWpq+yqQyq+VmWxjfUQW3AIdORp4SPtC3XXVK/B84FJ1nP3zIIN2Wcz1Ns MH0YE+LYS/jKISdkm04T+PckJN6aZLCct3xnnUIunPso1b1uAQur0tvT01Lv ALfIj/3PlrOwJrjJ1ZWvAT7GxPUVkXzmIxB4bqUdB/Y/u3DiM9HbnInlUVfZ uRD2WXzvZmkKp3KT6aYMNlyTFG0U3Uih8F3droSKJvD8LrFjTIfCtGUKtzhP c2CXWa8p24TCu+tFlhpY34Xelmvm0bYUChWXW9bE10Ng53pjs7MUmkVeb/Df R/KUncNByygKh47mTJtGhYP2k7y28bsUvjr3KzDvRjXE+RplsXMpVF7bwqS+ 4YB006F+19cU1jkkWeW0RILcuXb6wyiFa5KnVwp4csBW2PRw7VIa247iyBOt VKjdfubUOnWib9veTtRuYEPAmuyYkZ00qqfo0RxhNqjsX8k99xThg7HEtoz+ ZIi6NDv/kRfhCZmtDrMuNADfCtXyoBukH4qvby/Yz4HGxWdtNR4S/Xt/lbp2 PQyGR3eMTBQQPskOfTX0uAoE7FZ75dbSmF3CVXKb5CP/Rw10Rh+NiwWft15Y FAWyNyQWruRncHRZvW6mBwcyE2KP5ysSfVlptKx29AFs5uU1cvh3f3JQr71U LQvy5wZuWL6HwV9ZzOkhXjboe+514TrMoM2DcXS+xYadK0rdiy8z+FCtXrpv CQXXXymqBQYz+NSRv+l3eC2ULb07vINh0NDmT51PEgdc53tfMC5h8HT9FX23 18FgEPrXuPEj4WEJKZ4pol/CBo/43LlYuM12edTi5RTsO1Kr9XUVCz0Pu/6e EOPA7FSl9OYNLLQK9XvTRvJKkLP8roUKhB8Fp5gKwqvjv1t6vutTOO/l177D qeHQ8dBIiteBwrOSFnDuGllvabxE200KswMZpXkHUuD0goUz9WkUimWzuUIu s+H7pHDPnmIKN5Y9tVZ90gSyetwtmz9QqP6IKVbVToI9nmn/xQ1Q+MZhUfdp 13pId9q04dk0hYouH+Z8JXnTil2wbO1KGu++5tn5opDwxtUrjXeARtH3knuP k3pY7pi1wecojasn5Pgct0SBkWaqR4AfjSrG1r77Qjnw/Gq5itkdGrdu3nRv /AbJI1OpAQ7lNKY1hJ3q12SDzMvqu9GvaDT9pLTi8w42LGjxHRH6RWN4e32N kV8yqHbqREvMZbCE3VxXllkPqqqXBRJEGOzlKb43cIgDbvhB2EuVwRpd9uU+ 3RCYUTx/Y9SM5JP5/JZ2bRxIlal42OJB+G9mUHv+rzio1X1vMxnNYNG1B4sf r+XAiS+ReevuE30QTFlRMtkAb6oqPzTkk3xyUSLv60w6XE+4bJ//ksGVbg6z dj/KgsbLb7bVtDG4vcZcaTytCfruPvpu+J30w77T0+PebLA9tM1Uk4eFRz1C Hn7dGwdrqrJ9WaIs/HHpieofv1pY+4Nn/Ys1LIysLHtWSfRZcM0dA2k5kp8/ qnwLTubAFteJ2KEdFP71dg1O9b4LXeCwtekEed0aopFnTubrT87sHecpbN7z 8e0bfja02/xODIqj8PBYx7YhgXvQcrSztzOVQvuTm7SETjdAafGGPQsLKMya Xv7ZaBfhCV6Vo6ZvSX43tZ67TDkMekfm29dPUBjSkqn97/MS1meuFk4sJ3xx LjBJ/28k8H+dXGG/leRXuwohiXMcaDkutUbdisbjIhk1NT2p4HrodXTsZRpZ Q6rjQQFsuBhcpFAXTKP8wuvrt/Q1QUzA4B2JdJK3PZ8k5g4ngf7E+cKNz2n8 YuVy6LpBPYgu/S14r5HGU3Yvub1dOVAFKS8//Xs+SaVxwda8MEiz3hNitYjB 1unFp+3I9YU5FT6L3cCgg/yFLt3VsfBOdKZ9/j4GPVX2PVch+oeNP1PfnSH5 QJufL/bPI7Ao/eyX7Efyr7EvGollwhq+ufUl4QwG5/o8O0r0ffH0ClONOwwW /upRuv+IDVPsadeACvL3cvSCgxY0rEh4TQl0MZgxduLE3X+fLzJ1X28xl4UW 3U4HrpcHQ3FqT95rWRb6B1q2fqvlAE9emt6UEoX1nXoHWLocKPTJ3NppROq1 4nuu7bdweLNk43xdFwo77QsnLxP97XdstpQIo/C0U3v/6s4I4MrdKvQkk8I/ Holua29x4ELsheJADuGVZ5EfBTvvw5Ed6tpNIxQGGmqbZ5B5ceuxnngwi/Bu +benrw+w4eD6AXdLGRrfrApz+RmQDGJLn2SLbKIxWefBuifm9RAiJ+jXoUuj h8ybUW0rDnTIf1Z/eZzGDT37fjU1h4Gi2EVzl0Aau7PPeRwh+eHT/b4Thvdp NDdXc0k2iYSZv28N71aR4z2O0PC+wIGly78/9fhG47Wx3ROJ3qmgKFt8k5uH wd+Bwl9Gt7GhiPfxrTZRBn88z/NP42KDyWKu0we3MLj6SMCM+y4apP8b3vzF ksG/i9j2W4hfL/KKSGv0YtD1wb1Xtd+CwfFS9m/VBJLHvpqEpxE9LcIf1SLP GMz24dZ1fJMA/KPjXLnvGazb/ikvcBMHyre3Kl6fIjyxvXt3O6ZD0DHu8xL8 LNx+/M+D2app0GWjotQmzsKyg7dWyqk2QfTWNam5iizUuTzndV4nG6RNap6M EL9mpvQCVO/lwnDon4WaUhTyqO5unkPmz7mDmWr99/yMRYvHJB0T4WB7yBcL Nwp/bK/YpRpIeNe+utogksLJM+3TCzpDwGjEfEFZDtHjRiPbvWQ//X1P7PVs obC1gOuBomscqMWG933+ReGifGGrV0j65UPjJXE1GueOtIzdvEDyY43JrN/2 NA49cTp6NIIFLjNCqReu06iWlz6rnPRHu7qZCT6gUW+WvmiibAjUjmeaPq2h ceD42evXW4k/7bAwTe4l+eGP/c9H6+OhPHJfxkI+BlsG7FfN0vjHT3M6hw4x +MR809fRbjbMyT4/UnGJQfYafjHjFzGgKMFtqU8zuOqL3fDbUg4ILOko0n3O YIDIx8HJSyEQy7/A+3kHgx9nFuh1Pif9z1ugc/Evg05BBe3xJ5Jg7Ja/de9K Fgbyev483sSGXnFuXpG1FHYX3Tr3T294llpH9+4mehTg28XlEg2r2K9TJk9R 6DFLt6hrLwfmfdL1evWI6NtF62N24my4MrpIfVs7heOiK6tq6m7D85Dvl0um KKwQbRfdR/ieGXdECUka93q4OuYohICWZOfnSG0agz9kSCWS/Rjfw6vsdITG lxF2CQ7X4kleyrl83ZfGH7vGJo5ZEx55ZrXvcBmN2O1sPxreBJPOC1Lm/aTR ha3s+62XgVfaWY+DFhN/iXp18k4YqddNkWLfTQzOC1Wzq30XDGPfLCUnTRlU 2Oz5fF01B4yM9iq0upN8FaV76u86FtzxsCvqi2LQ/QDfAeF2NqhL5y/Z9o3B 52cMbFe/Y4OlmEHQf/NZqJo1ofN6LBIaV5YZ18izMKIo4XJPIwecW3355VdT OKdQJLCY8Jmc3Y+yUjsK46J/rRJobIIuW7OF3rEUfvW75VmVmwjnlLfc//uE QtdKdryXHwfmPttacfANhbOpd6elvgfDpHBxLnucwl3v5ztdIryRGK/xZUCM xud/jpgcXhIPk5ct11tq0mjUor4rhfRLYfInmrpE45kO73tj0my4m9IUIfuY xqU2TS0rvlHQ+sC/J7WBRp9kl6W6NAfy32243DJIo0aez+fh1SGgf8pPec9C BkvF1ryPJfV483TEjrWewS02B102V1DwqvnjGX5jwlt7Sr6gEAd85ngXaiUx 6DLL9G/PJBviOw7nnCtncLDw8V13q1iwX/apZrqTwSaBpSK3SF7eIOR/wnoO C18Ef9hQ2xUKtq1JbW9lWChnLqM1N4sDJ4/dnDeL6POT6TjFHsI3tbTGty97 KLzxfku0uXUoLN9aEKzqTOGRPYt3eJJ57Zg1r5YvlMJnwd01iomxcPuG662i DApLthY/OnuQA+8jRHzKhim8cn3jbg7hAf8FIjvTuWg8rL6myiCHDQkWibSh NI3fWg6yt/1gwPu5Q1STDo0WtUsONpD+ubS+Z3PeMRrdz1J1VzaGgLvN1cPu V0j++tnzRpac/4110gGjezTOn+XvU/g2FtaUBC+PeUGjft6qm0eBAwnW6iK2 6gxe5FPzxfxYWD7Fqf1mQfT11Y7bz5+R/U+WVGR7Et4Ve+MprxUCOulaJnLx DJ5XCeywIfOq1yknOKeQwbup/Cras5NAq22DccE7BncobBMZGmCDr5RIuiwf 2c/PxUrKAimgeepTzdN1LByKHdN5RfhpwybtkA0yFAbw/Cp4OcOGzO/sImN3 8tqar6Wd1O/HccH+49EU9ibxGL7aFg2dC3dafsoj/Or2o7Cshui1xL4bp1op jJkTNcrJCQNRc3njt2MUGr5z0VxOeChFfX97QhCNGW37S6uFOVA6FO628RGN /jH9D+cZRYIxJ57JrCP5VV7hwPFXHIhapPf9WT+NXc7RU6MpYXDVu8dZWYBB RUtDtS1EH25e4RnP92bQin9wiN81CcwX6dzQZTFoz71PYIrkh+YJiS2HSwnP y1K8ARvD4K/QqEzHJwaTDH/avyR6JR5MtzjOYmGxtayvEx0DaSrCKzqlWOhx OtPRx5IDCqW7ri1YR2FfwRWDiHIOfH9roP3NgOT5wdh0vZEQoAJfJixzpHC5 lFr3SCbh43Un077fonBtZceSFV/vQGXEH1flDpIP3/XyRB24B4mG3p35MxT2 G5c1+BCeEE/lHlJdRfL4U72ori+RYDUo9ywLafRsKbs13kTmU3tCJdyGxn0L OPsjssKA+wfl5O1Po1CLzMyKXA7ErN3t9GAJg+c+J14+SvKHwui9k2c2k3q7 ql+aSQ8DHrfoX8PmDFZrxMvbkvXOnlBb13yOwT7Tmw3XJKLgh9C++byxDI78 p1xk+u9+Lr1efBMvC5+NZ+f3CjFwpdJYoGwtCzdOlXzyiuJAmldFkIQ8hebj 672UyX6sMXHtH9hJYfSe86nM/URYsGftL8lCsj7bHGWTWaQfLeWmDd5RqO/n aCT1JALa2SZi1ZMUXli9wK2Z6JPk7ubweeI0Ws3979FPJgzEjWiec1o0ijy5 73ue1PeQv4NqUhONJ8/LhT5VJ/NzV0J4YJhGakVt8fX2SBA0Ext0ECL53uTw rzGyX7ukA4TCVEj/85le8f0WAV2HxXfNMSE8OKS/jZf4+ZEKWjmsksFdMcr8 NlfvQJN4nYtEN4OmhZOf0+zJ9UafGN87j4XOEjebHC6HgOhFlSjOahba8LHO BxC+e2gjH/ZpL4WMkrD7yOVoiBl+6LvPlcLnO8sPHyP9P9WW9E05nMyDpsqf rT2hcKKDOyYri8KZjLc7q4leMSGZTgN6xP+9mzO/kHrhqrcab+0IT8tQyVKy UdDJdtlz+t/9yQ5hXZcG0m+Dm931U4ie1Hr7Ch4Mg1aU88l+SSNfXLhORAoH FlRXl5hoMBg7WaynqXAHFK8KJnUcYDCh6pz4Q0cOOBhxKzVcILw8vtaKVyMM ovTX0Lq3GVx0wzDwn1+rsYoD5IqInnhsebNGJRrahcuy0tsZ9Gl5VL3SiQNB tOunCcJPaSqnd0SG5sL2A9qP356hMLf78J5rhO/8v435vIgg803535zoDoaH D96qaRA+2jN7a/tOUt+Nb/u4ppop3M0puyb+320oDej3diX88+OdmOwSMQqk hrlu/7hG4+6KDpWAOxzoqtGrrUilUbDbvjU0MxhSy8dQk/CPy2tXk8+kvt8X iytLEP4pcDjhdMOcApvLzet3Er4RiN7+sDM5CmxXPeGrpxhcEZCaPVxH9HyF oHVxMYOPtn/97sMfBtsMQqPUCN/MXqyeMJ5O5s/d41TMGgp1DXjV1Yk+L7on 7eBA+EXbamjqXVcsqBrFfC99T/LzYR0PrlnxoLey4u5/hE/Yf9ct4soj836r yixWgkaTrJzT3hnBoNob5sBP+GRNE8/QKXK9VfsElLqsSb/OLft4upYCV60m P58fNConG2g8vXYbpPXqpmcT/lhT6f+05B7JayobIuYS/qjbfLFP7UkIuL6o OXmJ8Ieq18DCcaL/ZuOc1S+4Wfhb47qujUEEJKrRNgaEJ0SupMp+f036S2nY 8YEshUaO27VfEv559fXZq/OEF+LM9lo1x3Egd3GZe0cbhaut2UKDWcHgmxz7 3oTwglb+komieqLHSpG/7QkvOC3N2H9DjYI0jdIFqWk0OszfpmQ4EQ+5Z6tb FQgPbPrddFc8gwOKqaMWRoQHUqVqnBeT9Sc43/Z+IUiu/6GZsyVZv313sNlw GVnfimK/2qkoENhv98mD+Luq1rtNKiRfKQ7zzO6czcJfqVn8N/jCQXXg8vdD xN8PXVvS6sniQFzhpF2AIoVrbMproom/vlKcKTpO/N2s9a2+jVIIFDZMGT92 otCu5rvTfdJv++vp2QEhFDaZyN/QT0qAor6JrCopGk/YNcPN0NtwLmi55C7i 18ekIjrek/023DSgqkj8mpuaPauYXH/cvFufxwJovCuTcNiDHK9Fc8qk6S6N yysLuLekJoD2XNOebjUGLR42b7Byj4aotzpLThN/vsfNl/P7JZnHgq4+Y+LP dXu///AKCgXll35/mTiSf/r233Mg/eberZXcEUXhpavy9+vVI0G7uvaKJfHP /25wH58ifud2rlVz4DWFJ2UyFcMWRwDTPev8IeKfe/JiDywP5UC1n39v3kMa I1M6Kt3LwkH59sebG4lf7oyQ+8xD9GlBB0/FZuKXVwaLb4bIREBrwJyS+/wM 7sOKw4UhxC8X/9R6wTC4QXVe3H/BHEjiMnrbWsLgkjRpy+aCELhnfEFzP/HH 93W7T60j8yDqKOs6zMXC6UzR7CyVeDi47Om3WwokH7WFlq4n+jR8cpHISeKH HYuMZVwOh4GWKJ91mAOF29dtf/Ob8KKW1tE5GStpTLmV+6FVMgLMCl/rKRB/ 0/z2t/In4cUgnekNPMTfhtRW9f/QiACFmDsjXMTfOhSlu7cSXmhMKNs2+u/9 INfZGSKXQ8F/LzecJX52IZ699t/zOPYLTveaEj+bMV9h438gBjoUYnL9Ysj8 9+xsRAPCh5fyn+TzsNDhbPsSp9m3Yf97RUld4mfKF3rq7xD97GBv7GPJUehW GVt6nPjpr8xH6U1vKUzb5TRv/u5wsLVRQn3iV3Xmot7mZD+0Pyje91lB+Fjf XJ61NAJElhtGDG6lUXwqpl+Q1MfIrbP/BPGnW0Hjn7VEI8D6wCbtrkUMhmxW 4hkl6+1/yXxdTPwp/tEmnvdtUWC9NTgicB/xa1jak0T02uOQ8dXoLgYfT3fd PulP/MF9ILJ5LgtjkuTjo14GQ2+4wD1T4kem03Zl2iQ/Zw/32dkQP1r/WGOB 6dVIUAsY1K11Ifo0p6knh/ST+x3NVffDKKx0UWWv3hAOm3YnmaoSP3K4PB54 KZEDgrIfthgT/8n9j+0ltzsCeDw8OP2BNFaFv5HsJ/3fVRvmVHefxsUxYdLm yeFwehXXiXXEf4pV/ejaCA6kHvPpO0r8Jm7r/MzhK0QPj9X37yF+s+vs22Pj zSHge8xJv4jk/QzuVn0usn+TQxb3aZL3l1oZy/OwY+HS13ihVyRfBzcx3Lwm YfBry6sPu3IpzGbJ51aS+rbeO/auiORh+TPibNwRCn3KDifUamnUyRL7tIL8 ftIzwnNtH41BPH52yQ4x8FvM/G41ybeT2xf55WSTegmmr6j9l29D51478zwY Rhqu2O/4yODeupjhLcQfCl/EpIaT/PruRsEuQ3J9XNfiS07pE56pTNgedCAS vI8vVkwm+TOkzYjl6RwKeiabLFcAjQvPHivdRc6/Rn/e+jGSP2337RMOehAD S7+Of5si+i32TG86OD8YLiz43nzejEHH3XbaxhwO/OHphp1rWGiVJSrwoZLo uW2+UBvJb7Ihwss0GkLAzb8z2GiC1K9Xu1zh3/3eeZ8azy6nUSpgluaYeQxo CzjeOThE4/qRgr/rT4TC1DH7jhaSvzZ05z/eQa6n7M3BnMAvZH2PR8SsHhN/ 3/in9h3JT5P+brwt7iEQWvKiykKWhX911Nq8SwivC3oIHTOiMEruq2QJKww8 Uz1qn5G8xD/H6l0JOd4JdcfwKJKX5Nat4B/hiYb0dd1q2seJv72yuTN5NRSM i33fjpB8syV6+v89X7jdf8fRBpJvtvBfqxM8EQ2MpI2vnSWDPNZus7z/3f8N sXTc60X65aaqYk92MOyP/n33Mckvwgb6fA3ED65bVKw7mU+hRsEoZ7KIA8Iv 6tq6SZ6I4xXUanQIhbBKw7UWv0l/vA4y5CPzWng4aTKd5Af30bg1p9dHw5n5 ZlnK9YQP7BeEZxAeE9f1EdAZoMn5h2Y8tUJhi1eTZD7JD3/2GP2Rzyf5+edA zBeSD0pG+OqSToXDgWYXgROfGZTRS69n/7ufkr5Uo+ff834CRxf/sI2CyZNv 5a6TPCBeoqo2QM7/Sf/ayROGhPfmKPtJDAfD1I+ANobkAa52nUHbUsKDix+/ KyR8//hheUYxXwwcl/ZU0fiPxs3OvYHuLzjQqzm6cbkt0YslVwN/Qyh07ont +UP0b7/OZO5wGQeu7g2KHCA8L73b46nTj3C4FSX70Hk/gyZVScsN2jiQ+cXV weQ8g12ZnxXS9CLgkrSZwm3C5yJpCWa9xM+j/iYaVBP+/tg89HOLVxSYoeeP 7X8o3MYOt9Ul+j2T63X5JuFvk5s7r/iphIKs/6D3NOHvTz/Yf83I/hxts1Q/ O0L2d+OZT31zYqDU6C/9k/C2kOCtRU7k+u9estfi38jgkFAm2luEg37+R6t6 ws8L9UtXhnSEwvbj5gF75Vjo5PxMOZ/0x9hh++I3hJcZhX6/EFLfKwK8GU8I L3tsblMRPRwCcWcd3yhnUygt9i2aj+yfq/hrTdsTNFbe+xL1+kQMPFc8XfON 8PElXp9LvSR/9Au/v1BD+HiZEiw7NBACaGMYp1FNo5dKjlvzU+JfGuhkeJFB 0copqYAj4ZCq8mWolvCvkOo7Lm4yX25GMjYZhH+7w3UNfGZHgpZu5a9pwrsX myVZlVdy4X/f58f1/3/+9/1l/3v9f6Ft9C0= "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl2HfAluMXB/BXvS0lZJamlZUGirZIRkY7Iu1EA2koRbZKyqzsLdlkE0ki lC1NSpraUiq/z9fvj+s95zvO0/0893Vf59xV6zagdf8iBQUFe1j/Fv9/3F38 //kJ8l3izYUFBeeJ7zJuKCoWwzE2gQfBTeDPeWvgVlqVcSvV9MQ9YP1jvYlf y/8mvg482zoO94dVif8PfA9cJ/hAvpa4A33u/biu8ANwV3gHPI1nDW6amtrw O/L19HfoN9Ga4cu43sb4a/CN8Z/x9cAfj78B/6D4Ju0G2rFqPoHL05fBK+DL 4Ir0FbjuajfB18gbiw+rf1b8jv4w/0X8c+Aa9G3wAfld4HPoB8D3qW9Dq4Tr Qrsf3wW/HV8MP1f+hs9YTXsDroV/W/4n39u0G2mN4IFwI3gW/fp8f/h6+Bj6 79Yh8O/qu9EvhPfnORu3P8+9uL+t1/Gr8K/z1YTfkq/jeYtnFO1UfGnX2RB/ Nb4h/lO+7vga+JH4yeIbtJG0o9UcTPtNvlzem1aBthzXVd1GeKC8kfiQ2mfE b+kP8Xfk/wI+jv4XvF/uF3wWfT/4HvWL4db0iuKl9HHiffRL6dvohbSv5a9l 79Ffyz3OfpOv5XuTdgOtAXwV3ACeST8Kt8wqj1umpgvubusv69XsS/5X853z W8P14St566v/BDcivyE8Aq5OP4j3V/lv+T3wv8GX8l0tNnTND/I/LX5De5Cv A9/n8LH0rXC53F/4THo5eILaRXAr+iFiZ/qd4r30zvSt9PfgovSv4Fd8Xid4 Bd8ruOPoN4nn4qbh1qibxjeSryl+T/wp+AH4U/Az+K/L7wdfBx/J92u+F/wr f2d6e3hfnha4fXnG47ZYL2f/4V/mOxb+2Bqe349vON8R9KV5ruGlPJfQrxIb uIbJfPPwk/na8RyD3yLfJ/uPfgZtH/guNQvhC+gVxEvoY8V76JfQN9PfhYvQ v4Rf8lkXwcv5XsIdQ98J3yhvmf2b+yeuVv8G/4icZ7RSuJNp/fEn4z9SNyy/ KTwMPpxviXUAvIT/YnpbeG+e5ri9ecblvLBezB7Dv8h3dH5fuB7cj68e33Tc tfnd4Gvhw+iL89zCi9V0ok+iz4Un0dvQjsZvlpfFn44vK7+T73x8edd+MX6M eDftYtrGnI851+lz4Bd8xoXwb3wv4I7K+QyPkp8jvp49IK5S/zr/cP7vc5bS S4p16TeKfel16R+q75b9hhtKmyS+RBtKOzT3nLZUvki+H34RfJGaibxfwxNp rWl7wafBe8Fj0wfgCXAneAM8NfsRN1V9dfgDqxpuoVWObyH+wvQbnq/gB9S1 opWBm8Fl4DH08/gOdo0X4cfjL8KvL8hB4iySP6+mI30p/XnckaQd6Rnys8XX sq/FlWpf4x/G/x3ciF5CPIk+SryCfhL9ffUr4a55NsQh9Inii/Qh9KrZS7Ql 8gV5vvAL4I7q7uf9Er6fdgGtNHwqXBoeTf/TmpL9iJ+i5oicCVYV3C/WPry/ 4Dtkf8B78jXF7an+jvQI+C74Qnhd+r/8c/lz2Ye059QenvNPPMs1v5rnQPyD 71W+a/m+Ta+gFxdPpN8gXk4/kf6u2j/S8/L8iYPTx8UX6IPpldXPgPenL4bn w73gvenzce3VXynWz5mv9ilxDu0+3vN4j6JtkpeiNcGXkt+upmP6BNwRXgs/ y7soPZv/MHgofALch+cEnndwlXA/W2VxP/O1w50Ll+RrjCvJdxuuQ85huAO8 Bn4mezB9Tc2h8EjxTNf5Cm4F3yt8Q9J/8MXwdfDXi5fR6tDeVrMivS1nhDgo 84E4lT6IXlHtx/B+9EXwT3BPeC/6T7i26jfAA+SnpD+of1L8gn4vf0v+6rSN 8hK0RvgS8ltznucMhdvDq+GneRekT/FXy2xgHYL7Mc8R34/4Nrhz4OJ8DXHF 1d6CW2U9lX2X+8RXNX1B/jvPyzyDabXh3nBt+E1655w/mavyrOGvwVfI84xf KP9B3oNemvYDrrWa9XB/+ck5+9U9IX5Ov4f/bP7Z8JH0DXCx9Hy4Ab1YZlb1 C+Bz6QeJ7eijxTH0dvSVmX3ls+VP+qz5+S15q+Bfki+nvUQbRKsF94JrwdPo A/MMwgPh8jkz87zB36tvRT8LLuSpjyvMnJpnw3oi+y7fg68yfA1cE+7JVzNz YWaIPIvw1fDBOSN4F8i/k3d3/aVo3+EuyJkA95PXSw9Q97g4m343/5n8n8FH 0NfDRTPTZA6gF82cqf4XuCX9QLEt/Q5xNL1t5uLMpfAu+DP4cZ/XAf4p/07m 2/Q8+TL6i/SB9OPhHvDx8Ov0g3Jm5LnCfavmfNwo63frsew1/scy7+V7wzXg 7rw1MuNlbshzDF8FH0j/xioBf5N3FHpfsa5rmsD3GX4CXwuew/F/yotk5kmP pxXJbKhmfmZ1+gFiG/rt4h30Nplp8xzAO+FZ8KM+qz38A9+jmc3o2+ER8hY5 29LP01/5X+C/KrMjrTBzLq0b/jj8qznbcm7AV+adIec13y/yeXm+8PMyv/GN 55sFj6edQdsDrgfvAV9Pb51rhlvDy+BHsv9wj2RWgl+x9sfNtYrxzc0MhLuL 51P4LnXNaYfh18kLMv+k1xfNC4ozTfgZPpu+f2ZS+m3ibfRWmXkzb8P/wJ/C D/usdnk/4ns4c0nePeDr5GfkbMtMJv7KP5X/ytzH7EN60czE9JHpmfRj6S+r H5BzCR6Q9wT+r/M8wV9nbqGfDv9rnYT7FzcC96v1UPab2ofS9/M5mTHhLnzH ZE7ElcN9ZRXFfZU+jxvHMxMex3Mabbd1Irybfl2eZ3G/zKN8t+Iv4FuaWUE+ U/4gf9vM+/QHc97QtsHD5c3F5zMXZs7gf56/P/+87Et6EfFo+oj0BfrR9Bfz jGTuzfyTM5B+n/gUvT9938ygtPnyL+VF8F+mb6u7k/cT+E5aM9qh+LXyXemD +F3w8MwIfLfA59OWwJNzTbjJOQ/gfum5cGeeozJL4vbBzcmexM1J78OdCu+0 6uB24oZl7lJ3M3yeusV5ZuSfyCfxtfE95mZ2zDNI+wseJj9dnJI5VVzCP4W/ b/YxXI++h1idfl1+F3p1+lT1yzMHZ3bLWUi/V3yS3o++t/qP4LL0n+Ev4G5w Af2LPMPSsWpmwGPpTen/pHfB/9CvzXtZ5tfswcxyeSbg562yeafLPsR/nr2O awLvSL9QvwM3NHMF/Sb4XJ+/MDNr9l9mo+ypvBOIp7mm53CL+Z7ju4KnLr4g /Q0/PN+RdiRtCnoZ3CkzYGZz+j3iE/S+9L3UTs/MQP8Jng13hXfzzc5+VL8u M6v8pPTDnMHix+rH8Dfmr0ZbI9+e/oTfDg9R1zLvA3DLzK95zuUz5PfzfZlZ hq9cZjD5ItqztMtpR8Cd4CMyb9LLpDdZu3Ju597jGsF/p4fw/Y0bnP5k3Zc9 l/2P2zczmHwhzzM+q0/OAPy/8sPxwzLr0w6Hn+X9LThzbb4v/W7xcfoV9NJq P4TL0H+EZ8Fdcvbn/M09Ub828638xPTF9ADxI/Wj+Rvyz4Kr0lfD2+B+cA36 NtygzE55P4DPybwL38vzRfYofR/4spzD8IU8h/E8g9sT92n2Yc5rvma4BvBf 1nF8f+GuyRlt3ZM9mPuP2zsznXwBz9M+q3fOMPzuvJvhO+IPlT+dd4HMxvlu uff4yzNX550D/4N8pvxS+o6ci7hT1ayB+8hPSL9MvxGnq72Dv36uGa5CXwVv hfvmbKdvxQ1U/xN8ZvZHekvOUfEG+tmZc3Neyj+W3525LveKt2zmTPkvtKdo vXKG4XfJq+E74KvJn+Lrk/sD94FL8n1ibc9ZyN+Ufgq8Jf2AZwvuatyP1oTs Rb4JuL3gnnBVuD1f1cyGecfIvJ85Pt8bf1nm68x8+O/lM+Sd6X/nLME1UbM6 fnkd8fb0RvFDtbfzn8w/E65MXwlvhq9IH6Bvxl2Va4NbZM+LZ+WsFq+nn5VZ Oeem/CP5eLWtabN4xvOXoT0pn09/kt6DXgVuB1eBn8ixkvcMaxv+YzWNM59Y 32dOyL3E34UvDXeHK8Nt1VfOHIjrne8D987cnTM2+xP3kZpG0cXamRlwH/Dd xlePpxL+D/km+eX0o2ibcAPU/ACfkeci+yT9QxxJPzOzL30avBWeDo9T3wqe yTdOzZ70rfDQPC85C/FTxZ/5n+Dvlv5E2ymvRGuDryR/TF2vzAtwL7iQrxTf d/Lp8q206XBDvlvl7/PdSqtL22hVhzfS+9NbpIfDLejfpg9nD+LupJeCH03b yZmTfYj/EN8Ad4v8PXW3qDuJVhG/Qr5BfiR+A9yPr3me8fxG6SeZr2hn8H1D ewPeAn8Ij1V3ATyDb6yakvQt8JA8xzn/8v6VOZ7/cf6u6W1wbfo/cEX6tXBr ekX4EfUdaNVwPTPf4Htmtlb3gbU595hen+9EeH3Oe571uL64edaY7De+MbgS cBf4ELgV3yGZIXF74N63NuV35jsFd7P8XZ6beU6g/ZnZHv6TfkXmwJwRrqt5 eiS+Od9c/Gb5B/LR/OfnzKaPLvyvnRZs9mdwzgTxMfwU8Uf+x/gvTW+Ga9F3 wBXoQzP30SvAD2XOhNvTq4o9cm6Ik+k9MkurL0n7Vv5e9kjuLXwy6Sb5O3w3 0erk++N/l69LD8Cvgy/Pd0ofg0+nfQ3fkX6ed7PC/8bzgs5wefh8nvKZPXH/ Wu/iN+T34qsH14bXZv7jW4vrgzst9xY+Td1X8Cb5+/Lbsy/zXlH433+NFQzK GeZ7PYp7Lu8/fI/yXZI+D9ekb4cPpg+Bz6MfDE9WuxRuR68ids+ZJE6id6fv pn8Al6B/A7/j8y6B1+e3wdXN8yjWwt2Ie1vdjXy1+NZkLoHX0C/ja5Z7AzfL DAzflv2Yd5XC/8a7gknWLuvt7Jt8VuYduCa8Omc802pc78yw+R7wqT5rTp71 7MX0qML/Xo8KHvHne/oj9Iszo+D/lh+EH+xaz6UdBE/kXQK3pVcWu+UcFSfS u9F30t+Hi9PnwW/5rIvhdXxvZc6gr8pzJq8pjsrZJL6lfhT/8fwVaMvlq+R9 0nNpq3C9cn/Tw3BNc134ppl58Rvl78lvUfNeegnf/wAKgJRo "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl2Qf81XP7x/Ff2jsNlfbeKm3tJZSmhkTahaKthYr23lJpqCShqUVL0RAh 2Q1Ce0qa/+f1vx+PPvd1vd7v93Xuc37nnO/3Ovedr+OLzXslSkhIuJ0sISHq G0kSErbco4ItSRMSLiVOSNhHr6UfoK/FSytbV64r/ZSah96DdsrMH3L30x7Q D9d/zJvHG26utNqFd0otb/Zj/Tl6O/yx/NfyyWhb8S1+RzzH/GTcUS63+gT/ qDqHn5X/OH8Azsq/jh/gt/NYC/Tf8RbQ/UsYFY+rGcXbj2vzB/Jr07rh0/y8 +DS/tFOBtpF2nr8R38ZvOiIJo+mf0EfTD+A6HutlRh1ad3yGnw+f4ZdxRvA3 4hH8Mp5rV35FuU3qBdrTtE1yh+SSx2PjO/xO+E1zU3AnuTxqS/4xdS4/G78x fyDOxv8Pl+YfwE97vLfxYf67+G1+TbU/37+EMf7jU9oYua1yl+W+pNfVD9LX 5fXAZ+Xy47NyZZ1KtM20i/zN+C5+y8lurolcdvozdJgwVm4bHosP4nrEwTL1 aM/hc/wC+Bz/JC8HflA/Ur+JPlKustwW+iX9Ft43vBTxAvSd9XPlpnpdnfl5 1Va84+o8kfv5Tfkv4/v5N3AZ/pe4vfmF+Hv+CryQX0sdwL+i+pcwTr+d3gSM k/9E/or8V7z6+iH6+vx0/Hqyz9PPqwXp5+XLOa/Lbcavy1Xhb+Vf1m/lJXLm 03LINJPJQX+Wlpw2Xm4HHh/fC/yCc4FWSO4CrbzzEO2TeL5yn+B7nC4e6y2Z LrR8nldr/gK5nPTm9EG0nLybuCzvIO5gbhE+wn8PL+LXVgfyr6opzE/Q76Q3 xRPkP5W/Kr8OH+I/jIfGe4Yflkuv1jfTk3dRLcy7aO5PuZy4gv4N/Rb6G/JV 5T6N/z79p7zE8fmlpXQm0nfRJ8b7jxuYG2auAa0XvsQvgi/xKzqj+FvxKH41 /jb+P/ptvG95KeM7oO+qnyfXlbdQLhdugXPhW/oH5TrKLdb/QF/pNS3m1VFf jsdUU5mbpP+M3gxPkt8m/4/8evwt/xH8SnwG8CNyGeJvZOaw+iL/sr4o/zl8 2fxf8rlolfSj9Z/wRpsry+9Gr25mu3qNtj2+a043ufly3WiL+LnxEzg37sRP TZtsZjeejL/DLzk1nB30f+k76Mni9dLymG9pPg+9M20J/hEvwWn4U8zs0Tf3 nKbwt/Ov8Q/zHtW/Gu8r71GZe9UG8t+rvflX9MX4z+MrZv+Wzx1/Q1wZj8Gf 8ufjMeYfVLvzT6s1ze/UX4/rDN4Zr0U+FS25vrt+gdnu/Pz8NvQlZvLSW9Hz 0rvIpaVN5X2Op+LvcR/nKq243FVaFacWbRftP7ldOIXTw2O9Hfc82jv8fLg1 zodv68vFvVHuHf1P9HfiGiE3jf6FfhpvB+9f3hH6Y/rX4vPq+T7GzxifE9kj al/+P/oS/BfwP2ZPyeeJ9xI/hMfibXGvw2PNl1N78M+otc1/pr9Bb48/kz8s n5qWUv+cfmF89vgF+E/Sl5rJT29Dz0+/oy9P7ya/VP8zfWl8x+Wm0/fqp/N+ wP2ca7SSMtdoVZ06tN20m3K7cSpnGa2Ax3pSrkDcN2kZaDPk9uEZ+EfcUGa4 TENaf/wvvxTu6bn+K3Oanzc+i7gaHoe389+Oa7aZ8upz/LOxs5jfo78V11m8 J953+TRxL8Sp8fN4kflp+Hm5gmpb/gl1ufmC/Lb8wbgg/y6uwO8Rr0n/C29Z fOZlZ9L362fyfsIDnOuxG8lcp1V36tE+p92W+xyncd6lFfJYT8kVinslbTn+ FS+Pzwd/Vtzn9bN4O3nXeT/TG+lH6BvxBuL/5Erj/+TO8PLhGvrx+h30hV7H eNkK8XpjH4vrtrkv9HfoHfAX8kfk08b9HKfFL+DF5qfjF+QKqU/xf1dXmC/M b8cfggvHAqZWjHtkvD7eb7GX0OvSB9EzicyOezNttswv+HG5kXKP017GN/hl 8A1+Tedh2l7aXf5enM55j5bZmRP3Nvoc2q94kHOTVtb8zfheOxM8/k48Qa4B f1+S/y14HT2nffF55qeLHQCnxz3xEv4M3NNMYbUd/w91pdEi/Kf5Q3ERfiK1 Ev+r+BuZX8E/yn8//kb8eurguI6rWWK/jCy9BX5Tfpf8f/K/8RrrX9c35g/G t2JXwrfkajuP0PbTEtH2x3fJeZ9W1NwztKLmetLuo82V+xrPxUdxE5k3ZJrQ hsRvAX45fJt/lpcf19FP1O+iT5R7VO4A/R58IL6rvPT4Xn0v/Tv0mV5HL9ki sY/yTqqrzBXjt+cPw8ViP4/rfjynyMd7yD/GX4Xf49dXh8Q9Kvb82Df1h+hP 4LfkP5O/IX+M11Q/St+UnynuP7JD6XfU8vQ78nWdSXKf4Ulyj/G/5CeOHZiX 0fmAVlzmWVpxmRdp2Wjz5L7B8/BxPMy5G/uM3N34PjsNaQdjx6AdxJmcFz3W Uvyi2Q/5JXAH/IrnWIKWWK0Sr0t9SX4l/zj/g/hs8R9Wh8Z9T81ufr7+W3pL PF9+t/xN+Q34BL8ZHh17A24mlznuLWZ+UF/hx4Jekd8rFl3+OVyAX99jTdbv jt9d9Ebsr+hJY+/lZXY+it3aWUD/TmYB7Xfc3NwYuea0V2NFx5Vwonj+MlPw nvg9gx/nf20+Gf46ro+8DDiL/iX9MvpLcqvlSuKOuCROEvc8ud7x+aafoH9I ez++w+qwuFerOcy9HTsWvVX8/pHfI39L/mP8B78FHovH4BZyWdSGZn5UX4s/ C79yvGf4Hv55XJDfwGNN1X8evz3oFeP7TW9s5lDsIfRD8V1zesstx73l1vBL 4U64FO7Dz0lbGLtR7KD4JB4e30nnG3oK2W/oWZ21tAfMd6Y9IN+Xtgr/Ht8V nIu/KPYGfevY4/mf82/zN+I/+U/gcXgsfkLuPrWRmZ/UEXH541eJvz1OzL+A C8WeFDuJx5uGv+AvwtP4leJayD+vNjX/bewV/E6x+8r/LH8vLZu+j/5dXh9z 62RL4y64NO7Hz01bHJ9RvDj2YDzSSSL3kFySuO7Qm9G+k0tF+w5nd/rKrMB9 Zdbzy+CuuEzsDfF9xn/E9wnn4S+J91m/hPcF7w7vb3pL/Xj9OM+/JT+r+rjs z+rr8bXhV433EyflX8SFY6+L75fHmo738hfj6fzKcU3jX1Cbmz+sT83vjA/H fU4+I+1+fT/9e7x+5oryn6FvMFOW3o1elj5A7kN8Mj73OC//nXj/YheN3RC/ EbdbmWoyyegN6S1o38uloX2Pczgfx+7qLI3XJ7c09incyuwEuVa0UTg5ro6T 40v6IvKNZGfo98VvAs91Bq9K/J7hXYzPlrkj+rT8LvhI3IflM9F24Jy4P17J n4X7my+mtuf/qW40/yC/O/9V/CA/qVqVPzCuQbw/eR/RH4lrGj2/mWXqL7Rl se/g1nIT5VrTRuMUuAZOEdcgmZa0H8yko/2AczmbaOXketDKxe5BK0BbLvcr Xh73RdxGZpJMG9oYnBLXxCnxZX3RuCbIztTvj98BnudM3kNxjee1MvOjmp7X lfaj7G+ymWk7cW48AL/Pn40HmC2uPsv/S91svjz/Of5ruDw/WezBcY+Kvcr8 av5f8XfCq+P7o77KL2j2XfU32rtye+Xuyp2jP6mfrH+SNxanwrVwKtxEtjXt J7MZaD/hPM6W2FmdFfSjcito5/E4J7X52rKp6U3ps/CBeN9xG/7PsTfE/hr7 CC8LzqsfqF9Fn+M5D5QtoXbg/a1uNVeB/zx/OK7AT65Wj/ti7FXm1/D/5q/G a+I+H9f1+C0UO6n59/TH4jnEniG/L2nC//+PYxeUtvopZtvys/Eb08fT09Dr 0NPQm5mZjb+M9wc/yf9FLiP+hZfP+ST2Qmcl/bjMStpF/JS5qXJP0SbgtLgu Touby8zBB+O147b8X2NHxr/yjvHui8+7/mX9B/Q3PceXZUuqHeP3jJmKvBd4 I2L35qVQa8Q9O/apuJ/wT/HX4LVxnVCHx+80taj59+N3T7yuuL/K75dPRNuE L/Hb4Wnmx8ceLJddbcKfyEvHq8dLR7+iL0Zv4THe1H8Vz5f+lNxv9Myx48Z3 zBnE/xAP4m/jV8I9cSU8lF+Mtip+Z+BV+DKe5KSXqy+XPvZCejva0dgnaEdx QWewzEd4sMx2fmXcC1fGKT33mvLD5NbRT9PX0tbFDhT3xvjdqBY390Hs/PG+ 4A/kD8jfQ9uMr/CfxtPjd0XsvXL3x70xrkvqZH4G/sNxH8QZ+FdxcX5LjzVX /zVvLr0qvzf9aTPH1Ptix5Up5AyRW42HyO2IfdL5MHbs2C/5V/EU5165BnL3 xh5Ef4Z2XC4r7Tgu7AyVWYOHyuzkV8Ev4io4ledQS/4VufX0M/T1ce2kj6SX lP8ortnxftI+kvtSLjFtC/6H/wyeEb8b4p4mlyN20riWqlP5GfmPxL0bZ+T/ g0vw9+LWHu8tfIi/NPZ9fjW1D7+92ROxW/BOxD4ulxUX0Q/Tr43fGPK75B7C L+GHYjfll6Ktjuto7Jj4Gp7mPOv8Ts8u+zu9aPy+oFU135tWVf412gZ8NvZt /AB/TVyXYsfjHeQlid8r9Pb6mfE7I+5t/JyxB8R1N/YDfib+o3HPx5n413BJ /j7cxmPNw9/wl+F5/OpqX/6luBaa/yN2B3632GnlT8hnoxXTv6JfF5+luD+a LaV24u02V43Xh1eNnppemz48dgL6udiR6aXl1tJP6dfyruMZTmaZx2Qyx7WB 3pF2Ui4H7SQu7rwqsz7u3TJ7+NVxX1wdj+BvxOdjL8Vl+OvMn469kPcVL2ns 8fF+6GfJPRv7bezp9Jn0LPSG9P60LLx/cSneftzWY8zH3/KXx+8jfg21H/9y /A3M/6nPye8ee3H8fpHPTtuFS+DX8Ab+W3HPiPdY7Rx7sNkavH68GvQ09Dr0 kbE30C/QN9HLyq2nn4l9lHcDd+DP5negzcL34Ub4vvjuyHSm/WUmF+0vXDJ2 09iDnA30s3IbaDfxbKeL8zc9d+yu8ZmO+zitpsftT6sp/zptM76IN+PGsccm +d//31dO9v8AeuWSWw== "]]}}}], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"RP[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{1800., 0}, ImageSize->{350, 300}, Method->{"AxesInFront" -> True}, PlotLabel->FormBox[ StyleBox["\"S -> 2\"", Bold, Large, RGBColor[0, 0, 1], StripOnInput -> False], TraditionalForm], PlotRange->{{1800, 2000}, {0, 1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {567., -157.5}, ImageScaled[{0.5, 0.5}], {350, 300}], InsetBox[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJwUm3k4VO8bxhUiJKQSElnSZkkK33ieUoiSkBYlIbKkkIhSKVGWVFpwzpkW a9aUJVSMfd/NDBVFSmmzlEr6vb+/5jrXNTPnPe/73Pf9ua9rRsnpmPXhmXx8 fDNm8fH9//XjsOQMPkUKc7bwZV28yYHX/MvGHmtSOJoYv+3opRaQ85ISLkYK hVIX5+78VA4Kked2sKwo7Gv68D1RtBGefVhfudaRwhqlQQW/J92QHFdlL+9D 4X/ZHef9Z/eA9c8u1YFzFG6/Zh7woq0LzNJKpaauUfhYZ8T8mGsd9NweWVV1 n8Kq50GfypPZsMaIdepoHoUzN+7ezGi2Qcca9WG3Cgrd6k8FsCa5YPBaJ3Jj B/m+07X1UlY8MKyN2NfwlkLP+vXv6JUdEMH3ZFvqGIVHwuNw+kMlxH895OPE T6Nyn/o2baiCsVVDRcekaVQzqk8M39oJw2mPV69WpVFqptJGgSEeJPfyd9Wt pXEJL4sze5wDD/evYBVtodFvNC68f2cL+Md1JF7aRWNUa7KQxDI2RMjalKS4 0liYdUpmyKQR1vfJCQcE0FhTOem0x5wDmfvcwtXCaRyYmT+QPasHPFQuL1e/ Q6PY4aj9Gqpd8CVp9bRwGo2b7CultDTrQNxFji+hkKxv5KFe1SY2nPTpUzlT S2NJ7J/iS9ZtkKSrdhq4NLLN5n3c/YQLcmbGP2yGaQxRKfNXN+aBRnw6LfOb xsvK878WHmwHoXvXA0pnM4gKu1aWFFfC8p87T+TJMvjky/aZ0zeqQVIg7kH4 Cgb365/vyPbqhJs7lvDNMWDwvHfD8FgtDw4Nnzs7aM5g6rf7271fcmBM/7B2 4j4GS3/8dK/QboVm7pJZSZ4MVpx+JSAnzYZjGgfmRAUzOHsg5cfG5Q2QyR7Y qBLJoMCM33cXOnXDmmSMF6cYtKxflvNCogfOGCkqczMYlG/TDeBT6QZJte6W sVIG15Vc2yauUA8bt3Wlv2hicESzUuGwAxvWL99d4PGKwRsbHcuzq1rhpG3O O7cvDE5q3ttn1sCF4HVXTDdPMzj2POsAvy8P5Hdnd7fOYWGabsjiVRc7QLA6 LSJHgYWO8w69Dj9cBU8+qR49qsHC2ELNHqfSSsg8eOrEGWBhzkR2vOZ4ByxY 8GX6H7luvJbV0GLQCYMn5X/zllF4reTmAr15nTBVSP1dp0ehRddrF5P8aqCC 6zIyzSh8e6EiJFKmEr7ov5ztsYdC5z9sLYHidnj0fPpq2hEKyxynfu45zIOp qqayf4EUdruu+P7zGReadmyljl2msNei4+qjQ20gebeT5ZhAYUanuq14Pxtm fdpiE/+QQuXhvG9PZ9RBaJHzo4/FFKq78Z34w+2CS8IaxbYNFC504Dy3kuqB DTavfWf1UrjaTrTo9EA3OLkwNvqfKGxrfJI4/rMRJCZF+i7+ofBZR13Nhbpy MBFXmT8sSmPxtqWwI6oZvnzc5tcsT2P/HFyUOpMLpmz7839W0WjJxwqUbOKB uvxCg42GNG7Ofrn3g0UnxE6G0KztNI5EX00LWFADIbtvZCxwoPFgwerCiuYK 6D9d+Eb8GI0Xr4SK39TqgFGqvMbyLI3c4/KLS6N4EAmBe1Kv0jj7XeQt3VAu ZLr03pC5S+PiJ+Hyep9aIeSiytm2HBqHm0xSVSUrgO1x5rpoGY2mjhf+k7hZ C9EdoVYOrTRaZB7PUHnYBf3P1z6t66cx8oCkYcHcHkg6/mNrwXcavaZMC0Yi ukF2MXPl4wwGWT4Nwz+FG0Fm26j/eikGZbLypsc6y4H+OypKL2Uw5oKw4GWq BTrSeTvN1zAo27Nk4f4BDgTLt74I3MTgWu+A32McHjyU9OO+sCb6kluyViWw ExwvsxOXOBP96Et1xbnUAHPh+ew7fgwen7wUqnKnAmIC7y7bc4FB11FxvRMW 7fBV5/rR+BsMHnaZTm835AHXR8th7AGDbhsbD+V8Ifu/JvjX4ScMzpMsdv9Z 3QbLn3aV7q1isDVml7S1fgWUGizQutnF4IWdCtGbjGuh24jfcvgdg7clJJh3 YV0QWEUtsPvB4Pov33HGnB5oNJG/KjKLhe92DMo7q3EgNiZDExewULJ++7vG rCZ4ued9UIwaC/kOniqsbi6H3OSW4xPrWLi1d2fR9bomeFP8+Olzog+tZ8UV SQs7wU3r9t8RZQq1Xbc/sf/dBZ9fHQqc0KEwOZP9vK23Hl6Ofd77eDOFG9pj 424vYcMlp+zMi7YUms3zWeV3uBUKbeQeertQ+GH/IpVKcy5YZW0VF/encMzH 9MtxigexD+YeWh5GYcCi1NdY0AGrksz2atyicLdRUbbX9So4vnER5qRQqOHY 8dFiVRXsCz4/P7OAwjiBzS960jogc3HGTocaCg22HG2vLuNBiczsf8ocCue7 bDBh//9+t+btnvmewu8lh1Zc4rTCttN982/9pDAmLuJ0E8WGb9ObKpKFaGxN +qX36UwdfItctIAlQ/zXKyXqxd5uuJMfvlt6OY32ntcjoub1wFBwdLigPo1h exo09S27gX5oq5C5lUaTuQ8cKqfq4bf/4wfNe2lM+47qqWPl8MQirLnHg8Z0 GbXIysetIP38y3unYBqfZ/c3it/ngnzT16+ukTQe8Tb4yg0jetmc56BI0Vit UThVIN8BBdLpRp8zaJSU3K/allQFR9y21bWX0Gil13VYha6E0KWPio820ujz JjzrLt0Bm4KyEi6+JOt/X9AZnsIDx5fyimGfaXx/6Ir+fAUuqPQqx82YpvFQ yd1tklqtEHuS/ePXHAa7g9+GL3Nlg3PQ0rJUBQZ33L50+2BXPYx2F/w+osHg r/kpSo623SBc8LNvkxGDcqaLB0Wle+DS318r2y0Z1G24+M3Quhsevrnh+sqB +PXv9O0LMhtgncZXIeYYg76eMyvcRsshpCNE1vcsg7+p9KfP37SA5Z9ijsNV BneN8+p6xbgQFln0h+8ug/dDAljiT3ngVLRdfEkug7l2Ct6fpDuB/rqrWq2c walzNt/2q1ZDSMWE18M2or/BV5HnmEqYtXb1zIdvGHS4EXzkhmkH/BRTm3YY ZTB5lHoJqTxIMrLxXDaThcyExbhmCBe6R1ddEJZiYQabpR27tg2Oz62dwVrK QqPS6dNlg2zIq/3t/WgNC/eN+Xt3NdaCSfSChQzRR8iTiN1jgp1w6Nm9H9Ur KXxp9iNj0c82ELvOCQ3cQKGOVYaQV0wFHOBP/pu8jcJDgjDVHlcDdpIibjv2 UzhLd09M38tOyFj+1v+tF4XCukljgX94kPp6p9/30xQ+udk8pHuSAyJToZz8 aArr1p4/9/tHE/xIdBy6zlDYkYgWPfXlQMX5ul7IpnBvy+fxzltN8HBiy/bl Lygcv3aobEcSBxzHcpdatFCopjhDbvoTD0qjHw99eE3h/qjYdGn1LvBfs9zq +FcKLzgqaCfF1kKn37o0v38U1l6y/vg4iw3UYkG3VRKEf468Vxt41QYjW8+1 /lWkceuHR2fi1/LgR7Nmxlst4ue+1FjOfB64l94dOb2RRtej5e/qhNsh1CRd /sZOGuXGFSzlZ1QCv77fYwcnGjc80DPlC6gBsezh8U1+5HqNLh3u1QUtwXGp Bhdo1A8+ccZFoAd+P+Irf3+DzPf7h0YDszjQdFGgTiKJxhM18yMSnJvAZJz1 Iv8xjRLW83V/cMpB3jvbfnMljUNOgmedzjTBnYu2Q5adNGYR6YYc4kAIfylH /B2NO03+y3r6mQfDAq1+7ydI/vy7cUPzVidIHJQ53yHIoPcfmztxwrVwV2np xIkFDB76U9ytbFoBnHMVu6+rMZh+umennk47PDk9lbZyHXm/4tjDL2I8+BKa xso2ITw08cdXVIYHzaojF7PsGFy9Y8v0hHM7LNT+3nrIjejjY/acp4JkXnnR otcDGBTyUTha3VkN9GL2WqNwBmeM+Mw9EkTy18udv/M2yYdvDjHm5PxW7Ekr e5fKYOPWhJb5TzmwKjNtMLOI6M+85ox/WTPkh+56HFXHoMJHo2AO2Y/fj9aN neUxeD0+6eAJdiOkbOXFq39k8EPnTL/fThz4fWae5vbf5PuXrFz7+DcPxi3f 5X2ezUL+N+/XpwV0gfmKFS8DZFmY/nhHfPuaOjC7P2v8zAoWLpNqWD3owYbT H6z29xE9PFysk2q8vBPUo23P/lAiPBPHb3W/vRuGjlfmd2pTeGogoJte1gRT mnyPCjaR+fLa7+PQWA7tJxdOX7MmfUBtVkyDWzMYMMsLdzqRPvDKNHhHDFnf XSHd+X5kvudx5c684YFPk6/xrAtk/mM+rDZu6gSDlJnr5sdRaF2nXGjoWAPJ I6HripMo/DrldP5hYQVU74+tiXpCYU/h2LSaXztgmvti5yoK+dXJkXjyIChY oWpNF8mbfPOHu3u4YKLZzB0apNAy6obDcsF28Hi+9REzQeFrSariZnwFbA6w lr0oSGOc6YogO70a8H151i18AY2ahfLfzA90AebQbMVlNC5TurB7r2gPVGeY Zb9fR/ilXM5VToMDSRdeOOSZ0nhLM//OnCVNoBdWwXq4m8afumITQPZDQWek suwIyYO6XLekzmZIsRSc9DpF482K/4y383Nh8EZGicllcq0esGAR4ZOgJ4s3 qyTQeCU6dcb7ZZ3Qvt9T4U86jS8Twl1jd9ZAybvHLgVPSf7c8tB6qVMBU1tr j/nX07j+OP8uhZB2GOO4izr10Fjnebh6gxEPjKS0Ir0+EZ5j3TgU8YILy4uH ZOZM0Ri4dlCM3toGjZEr1veKMujyXH//Rweyv3oGslnyDHIPRpYfSKiF0KOq OwJXEf56PvaP8uiC5lDRb8s2EL/31P7j/Y8HJ/ye7erdxqDh5BP3E0s50Bw9 ZVG6n0HTqZoUmq8ZQi8ICd07yuA3zzzVAeJvP/i+zDt7hsFzkvqZK882wV+H lqiN0QwaWRdMv9rCgf13TtcLMQx+WimVHD3Gg+N/Cu78yWJwYfaHhfvVuoAj ssBizgsGNyzyy5Ukeu4PPyya38LgMa1radIWFcBobNp/pY9B5s1AYY5YOxTk fvRx/sZgl03tvDpTwifF3jxdPhb+XPpGZYMgD34lfc4cmUv0YfIgrNCxHYo9 9LakKrLwr49S7Nu/FaCzT8L7qhYLn7sOjzYmVMOpHzVV0UQfh9x3v5j3twOW yh4MbF1O4e2pnsuLRDpAQNWgbLcBhQtctg5G/6qE01Bom25OYf6F0OqsrCq4 r+pXtH8fhSLU8+NnOjpA48S30CoPCvv3CTRZlvPAun1uwmQQhSvy0i7fUOPC iOrQ0+uRFDaYv1bn12gFAUa24hRFocrq0FVz5NjQBi/3x2RS6GG70pNt2AAL OLb/Zj8jPLdim/W1xm4YO3Psy44mcj/07Jsn3gOnv9Vm/nxJ+tBL8zLDud3g 1TDQZvuZ5FWR4bPKx4QP8u8an/5LYezWK90m/Gz4flP6uYg44fe46KvOca1w NGFIaUiBRt5KzwC9DC4wtVsWfNWgceFQKbP8LA/MRuznHQQay7+8DXcm/eHy EukD8TvI/C8x3jzHswrQ7EKOgSPp27tT2z/7VMHJm1af1H1o5Jf+Xli9h/C4 WEbh5vM03qD5NVYSPbADS6NqrtG4r/25+q12DpSOH8uWvk+j9LqlWw4ntIDT BidWxSMa57hsrKGMSb8dmf9zGZvG82mepWI/60Eq0zPRrp30o4VR3rHXukHz UKDZyFsaJ82snCRIv602GHjdPEb6fuhM//b4Lphv1CvYx8/goOG7mRcn6+Dl uiu6dtIMXv2r/cBhOxsMoPfRbRUG7SyUXDr522DzPM+/BmtJf4+fbXw0jAtP dpTm3NjMYOE9/8n5ESSfE3OyC2wZfCD6R+CJXwdseLW3AA8zeML8nwf3ahVY a6SI3PRn8FSPMFtJpAoWWGhrWIQxaFySsNnBowOw9UxRwU0Gn3upJjgn82DG Ya+rI8lEn/GC79IduWDwVfLY5QIG7UPf/5m60Qpf6fl6fjUMJhVed5xrxQb7 kynXrnAYzF8hsGWRTz0Ybf4yJvyBQZ/qgIgZod3wVIl7f+ckgxmN5w90kz7a X8+nNCXEwpQNO76/2dMNR19+FNwvw8Imra72V4ca4Prfk+svqbMwd1BT8fBg OWTvnCnaQvRw7ezE5ZOKnTBu/s9gwToKzyfsfFqcWwulhb0zc00olFQoD/R7 x4a1s+fQka4U+ueeFVrzgQspTyPfzwqg8CT31PVJAx4o3I85bXqHwsO8m5sn xCrhv1s5W5PSSJ7wB227OFENX+J9nRuKKPyTv2VqTmMnLLoxEra3jsJP/p03 IiZJX88f05vPo7BryOUXfZ8DGgb+QdG/KMwra5psni6HxEs6XjWzaVz3zt5R 7WcDHPvvcWWBLI0PtGpu4AYOfCvxGRFaSWNioXPlo2keCG1rd1T+j0Y/1erz C3d3wa224VfJFqSvRltZjU+Q53N9kDpqT/g/ynLLnbtsMHdR4I57kfmP+bzq C+HHC6u5nD1naIxojPU6o8oD21lrVcKjaax6GFLSOo8HCY1DDn1ZpE//5sx6 pFsJ84cHV399RqOZQsC3VceqQfhPvKBrM42+QwlB1lmdcE3++/LU1zS+keW7 HTLCg9CU2fn0VxrnjsRrX3TkgO2hfQUyEqTfugjIL+krByc0S9mrxWBtz5XE 18s4sGl4oOUAMnhg6Miihlk9cCd83cw6K9KXL2zmThztgjDdleenHRmMf+IW aOhXBx+53cKJPgy++rU0eW00G5jbKUtPXyPzuJ11eXs+F7JDxlf9vsfg66MW G7sO8cC58+ZGrGAw6JwU/6OwSlj8L6yZ1cGgJGtZ1KJt1eCtL5NWN0B4PyXq hI1PJ+i5H7qyb5z0kT6tnbLDPChir/8rI8BCi1PXDKRfc0Dtye7nt1RYWO/m Ilyrxgbt9e+OdaxlYaP74RV9+g0g/e/Elngj0h/5v4smXmSDUc31lPuWpD8e WT/BKa4Dkb93529yoFD992tnq44uUO/rOPLPm/D8Y755EaT/TX28se1jCIVG 4ddX3sruhg/xKbMz7xL/W696WH2yHIyk1yealVPoWffyvzUOXGg6Mmpn0kah 8z+DIr9MHoTEezdHfqdw+Zq2aTW6Ggq0G8U8ZxB/Crb5+aqyAjx+LTo7X5n4 ZUfXQCXNA8uuRdi9hsY89zrjm9e4cPqo0csoGxrNk5bYrx5iQ/Vy58JQFxp3 j9/bfqC6Du5Xh07v9yd++bBIOOFINxh9OnNbK4zGBqXhd3qkr635tHlC6BaN rz6ve3tKqRtWZL7qS82nUZbOX2HZTfjjgKG2aTeZj6XG1noyXGhM/ueq/Z7G rvWmu1ak80Ds3K6pGiEGH+cG18/fUg0uYsVPbsgwaBZRGOrwtBJUhqJt5fUY tNnwueVvIA/UC+Ku1pmRfD4ZvH06ggujFyM+hbozKHjv17Qahw3FF/zFrp4i vCqaYNz1rhZUvln/p32ZQUUzreKQwC54I7zL8ns8g/2t67wV5vaArcXg99fp DH49Z+4V86sbgt1uaqQ0MBhpDbzfPeUgvqOSZAqDZQdCmWSShwY9liVmUwxe 7vtiOlxJ1hPonndDnoXRStrHP2jUwLTJrVz/VSxcoGOzfbljBWw9y8r6Svzp wLksabE1nXD5Px38o0jyMvuM3Zt1HHAq9ret1CL9ac6zxBO7mkHM8vL+oo0U Ltq6qbS1qRwm+RpT7uwk+RzMRA+vb4LTFbmGxocIz3Imrb6pcKA1wbVWxpfk ++qyv8q/SL91Snoyfp740aizm7h1F2xMPZgkfIPCE5Hb1206UAvILnz04gGF 6z7Pfv1QqQJON91WPPOYwnlsKr2mvQ2ufDa7cLiSwuISY4U4XR70rFqubtBJ 4VTwj7uhpH+wgzMW8QYoTKWX/r0d3w6n+qan749TaPf6/c7q9ZXgrdOzxU+A 9KNdFXZ5WtWQJ6ATGzyfxt6kgc3K3Z0gnak+qaZGo9a+fxusp3hQYJxSztWl cftb+9KAOA4s+zYekm9C/E/acoXY+mbojmqg79jReGdzQGjPcDl0pCwpe+xG o9uNM558UU3w5ZYEn28gjavPU2cEHnLALODyvXURNDbF7LVTIfzm69WxTi2e 8HCJxvHTaZ3Qf26b+EzCs07GD21F/quFwSS3NWlFxE/rwztvZ7Dh6Ssb81N1 NK76xjlxbZjw6azaCise6au+6hnef7mwKuspOn6kcfOC5sgVhN8yl5v1Sv2h USb+5VL7rjbwuOXAaRAh/Km5QMKX9NPJhSY1OXIMnjT2Vd17tQbqi/b/OruS zPfzBJbgl05Y4z4/UPY/BlXPSQR6fOCBhwbrY58Fyfv9Qqv3hHKgfyD3eYY9 yW9/48y52i2gnn3j0n0vBlv5eFcr3pRD3u3k2LDTDC6qsi19sLMROmP3vl8T RXhUOSjQj9MNNcxrbVGawS8Lg/Q4gj3wg/r0ajiTwc31fyzfpHbBCZmT0XzP if+9VmTFz6kDCQ96X3EzgyFvomMta9jwMWPb5aDXDIqnnY6w82iDWzObMg5/ Jc9Tl3ZEYQ4PLgWeljD8x+CqPW1avwjvi0w3lb8WZ+H3DxHunWPt4Hjnm2vG EhYKWvLtfppWCeNLE4+GaLLwktwhl0xWFUhlKNJhRB/wim14f7IDLtQa6nep Uyh30pGtENsB57w/OZjqk/xuy73g1lwFUQeQL2MrhT8e9utUcCqhNmfZIee9 FC4RPOIWa9YBx+MDZhe6Uzhz063TYbd5sKzRe/XUKcKfprXGZ/y58LJ44crz Vyhc6f12+7zaVhBhBWgfTaQwffRfUfYxNnjNl+TeyKBQbImq8KRsPTSa7t/z u4RCY98YH3m7bthQYWlr3Uh4dY7E6e/Ev1/e65j7r5foQ52vvi+4G94vLJcy HaHwzs6/H263N8AMzq5r56YodJr7z9icWw7y1tTwLzEaJWPEmip7WiCbHW/e s5hG0Jz4j72PC75VrRYTq2mMlnoSSBF/1Lv4VM3KiMYZLzc0f33RAWJRW89Q lmTe6uJCvPSroW9HZJb6QRppq2fc6uuVsHL2xSG54zQeuGq3eUZNB6TbFrzY eo7Gg1scLG7m80Btf4JvYSyNNlVYNVuD8GKm6r0F92jcb9icrbG/FY47Gl+t zyV+XrpVtpphw52MuspF5YQvOs6Ezy2rg1b46b+vjcbsu94aGYrdIBzbzdf7 hsZnio4/DEke5Hd5xbFHaZxXtU1TWbob7mRtqB2cyWBO4m9T57/1ELTxeZfJ PAZdT+cvfcZH9lvhvUOCMoOaZsPnAtxbIcrhfuomHQYPtssJpazngsy66vWX jBlcwfyZWvSEB4/trhmX2DBoMLrEJPpnB1jqiC/XcmFwf9rDLaM+1TC5Z82V WydIX2y87ym6pRLa33x4uPMigx5boS/6ZTvIzBSelxZH/PvnilfV/jzw8mz+ 8TWJ6OUeaE885EJZrMmTgHzy+dhrdV9Wt0FUhn+QazWDUjOSJR0K2RC153X/ 1W7CL78XjsTY1sGV8knFX0MM/pxR4aclRJ7Xr/ilzU/C5/HNz7PIfHRHiO/h JzzrdmdI0pDdDSG6DbKWC1kY/i0rWSKsEdav1Nx7ZRkLF1XSs2MbysFslv3b aqKHR8NX/hOX74Tjcbk8QV0KHRZS28zK66CxyyX70RYK/118fcn5BBtOasQp nzlMeOHUQjFfmgvBjz8GiZykcPJs1WndYzxQffDpo8FtCqe5Gfz3qiqh23Ow Mj2VQmWxw84HhaohSSSotKSQwmWLT54QNOwEJ27DJ/taChU5YjNc+nmw3206 UZ5L4atVF+48/MUBQ/sVtdcmKdwWOjJjy0bCC5tKbhcI05ghdTGKzq+HXGfX zw8X0fjlgm66c3M3VBZNKYmvoPHU6NrEZ2LEfwY0T0gb0DhoSq937OoCWaMl 02nmNP5SNNHSnagDe++M5P59NOaceLrmgj4b/nF2drz3JH47lsP5Ykf82H+g 78BpGpMqqmvhPReKhiVFAqJonBgYDH9pxYO0bzWWQ5k0XnNI2PJssBKM0u78 6S+lUa8sTHdLUBVUxaj2uzfRqPHf2aVpyzrBw2LH25uvaBQUnWvU3cQDn403 PK59oVFp5MDhR2wOjHrG2M2eS/K/woTLzGPDw8izVoc0CX9oarwQLO+G5JbP u62A9JedBe5Jkj1wdZPM7aYdhF/flPD833bBnci+sc8HGVxSfS7cJrIeYvmd I6jjxC9n77rjp03Or07rzNFYBkU3DTlPu3BBNswu7u9dBvkbjRv+xvKA7+3E BR026Wfp2o5Lt1WB5Ztni5PbGfxt0/Dkr0cVFBcs7Xr6lsHZc2c9ePW6A2RK jCv3jxG9ldofe9/Ag+xzW9Yq8rNQnT0sraHNhYY3c/sTlFmYsGDNngen2DD6 79gxtg4LWUc77l3+WwexZmqDEYbEv/iGvu+eYoPlOznrpO0UXlm1duGGe7Wg Fb7rudkBCguf/Yxj9nWBh4D9129HKfzYMD1dJdoD7YOjfZ/PUFjkaJquOZ8D XxP4A1ksCj9oZKSebiuH8YtG43plFB73uHpURpALC7LbSs1aKVx8adf06xYe /H5nMTfkG4U+NdliUyQvq6zP7zvGR+PhVwoFy1dVQIZSU+rspTTq3nw+z/go D5a2J/m/1KbxQyPX+F03F/7x/KauWpPzlv6m+u1IBbhoe+Yfd6bR4tbzqp+3 amG3QcGvHSeIf96rXvvkcxdc0rnM0r1IY2HfGrUpwoO3mpf2/oyjceySmdB/ t7tBr/V5S/YTGj/ftRcIqyuH3m+1ohZdNB6Sv+ogW8aB5M4DSxSHaJR/dOZa Nll/zNeC502zSH6aT746q1gDMxd+sb24kEGlyYBdYqMV4KVdNa28nvTrRbkW x014EEkxC0tNGbSdcNq5o5MLAr0bHHyPMGiR+vPM+KEKcMyeERUbyKDWRTHJ Z1010H9JpGh9BPGzlb+2v/rTCUUGfWlv7zAYfXZ1dNCMHnix02Tv2zQG553T LtHZzwEZ/4nj8fUM5t3tzLtM1r+vsdlL7xPpQ6ku/bdrOSC7SnvC/A+Zrxe1 NcEDPNBv21oTJsfCgbnyxy6vqIUHJyzbT61kYQ//SZHZXDa81Zm8+J74U6mx 7Ym01Z0wIhkgmG9MofjOpyui3hNeDbyv5ehMocqJvRI23zigmpp2T/IE8Y+g O86xbB7oJCfXKN2ksHQ9J2o78WuRhZYlT5IpFIo4YOXlWgk/nK4UOlYTfjWf 3lQSzwPZ+nlOK7spXO+Rpph/kwv2dJxzwg8Kx+a675GUIPuZJxUtq06j+ID9 soXEb+PPlNwr3UNjjNrFnG0t5XBg1u+vbkE0DleazBG248K53KYuuys0fl2y evb9PB5U6l3RGH9IY+53oQaLE9VwXY3vdmUxjZveHPy7tacCZNNFbfx6CV/+ 6V/04CQPdgSkdAWO0Jj5G+cc9+WCxvkftz6KMehZvGh4VRcbPKkZR3QNGVx/ bynn9xzCB3uCw1neDN4K7ZXf0loOaqu3rLGKYfBPcdF96SzS96/JOguwGJx/ xeL7Vx4PDP7mC8uWMZjSfsZr99wayEleXZrTyuBwnbQO60MFdDsI6x36zqDv XmkzrWDS36cc72vMYKGf86fXI5VcmG94TvmBEgs1Hb7b5rhWQERvhNKR/yhk 3ZNY3aNXCV5KGumpFhQ+fSDzVPVONYxYuk91eJL99c0STHrLg7/UM9tLNIWN Xrfm5g6Ug6Pr9pRFzynUCsj0Et/AgYd6sRHbmyl8XG28/AVfDwzEfZoImKaw Kfeby0VzNqzy1fn1fQmNvm7WW96McaG+obj/gyaN1QN1Lm3beTDr8esNt6xI HzQfeyKaVQn3MfjRtkM0Mg5yjvfcq0GmkpUDoYSH/FSqfL/zwFbmfE5pHjk/ L9N5Pwkv7JLpL7PuoLHqd++buKlusFsjG/t3gMYovkp3Xf4eMFpld/PwfKKP zWukThazYapGx0ZHlyHQ+PHK1UYu7HTPW3ZvC4N78z/cFLTlwYrwZOOdriSv H7ZedymrhEx+2cgbJxmMnfqS6POuCo4wYweqbjFY/b4zOa6RB7ccRNSHUxg8 ay7W8GsuF6xj8yfO1jL41ovTJSlI/LR6oFpmmPByUgdX6Ec39LRMHNnxi8G7 cxtEz4n0wOeW5/NDl7PQa5BfPmIRGzLjrXdnm1LodRIWfvSpgNGBsAUJbsQ/ NYc/v17Bg7YXq2z5Ayk8nyt5k/uP8NA9bXHbeNL3KxJGj3tUQOv2OYq76ym0 Tdz8ZvXsHliyqGzV5d8UlhkeEYsj/Vv+xVDBjFU0lm8LK/Ab5sHig4npAgdI H9pzfpe8egUYvGtssQmh8frKaMXs/Tz4ttTO6HYMOQ+rqKbXzVyIShM8xs2m MVSv67tFfAUUfb7uU9T3fz3FT/rP7IECO7UF6pIMOnS7RYwQf3k9s8fUcyOD a0Z2SkeS/rU52/xyvC/pQ5eTkxcIVkD1YfnaK9cZjNropHyX9CnjwOtVP+4z WGTjkpi7kgfV1br/tlUyWPzF5rR0ZwXsWXjWas8Egy1T0sdapnlw/hKLuq7K wnvNvTIBn8vhTn5FSjoQ/vZfu3rOcjYMPd32ds5xkjfjmFgm1QNv7mxNLLpH oZL3/k5+YEPEA81Ne9gUbghqh6M5XLioPO+7cTuFZt4rX7Wd5wH/9mvR8aMU 6gaFC6sUV0GaxMIXrjNprPTyf3z8ZCWsaHO1U1Kh8ew73SiRah4EcWNEWnVo 7H4lxfdhC5f09dmll20J32x9t9c1iA0T932vrrxEo0fqinWLCR/IR0x9vVtA 3l+opvd4uhwO1T2yM+aQebdbnpHtzoXxk/eyN30gfnQgV9MsiAdXJMb12cIM 0rmmA6MBVVA945L0g0UM7hi0mexLqIKXCXYPpfUZlB/eoXMxifhZyxUhzlYG N6xVlrNYx4V+jc7AGx4M8izMj29xY4MIp37sXwLxm+4r4WsJr7/eqzuS18jg Z+PH1vFibGC3PZXa85nwcW1k4dfTXNgX4XXe5C+D08vm9oizeLB30esYn9Us fJySpSU/sxJy6026f5I8yFQ/Eu69rhOKr9+/e0aR+Hvf6n0fXTmgeLBZeYMW 4cUs57zkz80g/Wr7Gv2NFK5aNn1GjlcOoiZqf+R2UmiTIaSjda8R5O3G+Uod yecf7d137XM3FC9ccD3Bh8L6uB0b9ci89awy/Ox5nvQ527GN1653QeWyGPvQ 6xS6qz0s9emvhTmrrY9tekD4Fo/Sh/rZwAmT2z6RR6HsC033c+fbQCNWr2Co gsIDe/ad/7eQ7G9YNu9ZB4X3jn9YrKhLeGuprIH1AIVhyj2e39+2A99xnqrq OFmv2AFJ+ZhKuCjJ9H7kp3FtX7XxvydV0H4nKmlCmsbRYgvPM7GdELLii9RD VaIvscbOeaOEv+bustipS2NTp3K4QhUHjqTMnbvehEbto6JPNCubISW2hZpr R/LIMcHwlgAbsh2fGq52I/zcs7ei50MjSP234OJ4AI0KYhUzJoM48PtIYFx2 OI1/Ps1q/f2XB95mGlqpd2h0Grsrvud9J7yXMrwUlkajZ8Ldjr7HtXDq4sZF SkU0GnYERGj5kT6XGr/+Ty2NyXNzIq2ZNtBT+Lmklkv802Dr+o88LiQFhcj1 DJP8S+/PU1TlwdE3gaU3f9N4wWNj/jPZdihKDFy2WYTBWT4leQftKyFWqHGx thzhCzflpzEkr7wdApv5V5J5lDWc8zmrE1z2y5beMGDQ3vt3bynJtyFRCV0n CwatDR1jFHM58FFcNFDZnsHNw57DS+tbILhir4myF4Nipv96rv4sBwnnGS3C pxm80y4qmVnaAGXpTFxGJIN7DH02s+humLp39V0URXgn766xHukXxZ/D+A5l MthW522fNNQFm5akaAQ9I/PeNph3I64O1O31Zxo2M5i8IMDw+FU2xH5sY42+ YlAtvTQPZNrg0srntUNfGFymwlVZ+Jnwwm7+zLJpBrv+loXZ7eXBjRVGjbvF WZg1bMrvtKED1uQ0BqxewsKbxhtvTQlUgW244+cJDRaaxgT39a+ogoOCTRHn iT6kv/ye6/6jA54syYrfrU7hzvIT9XPbO8Bo3maNF3oUBjxcplIE1RA3ItC9 ciuFCzL652r7V0Lv+Pn8oT0U7hEsW184owMkVpU0arpTmPK4zSnoLA+ktir8 PHOKwiUNEZsjE7hgG5brPHmZ+N/Wp9N/pNsgZknKh6EE4mfZJw6fT2KD/rmM mwsyKLTYWOUwI7oOlvH1X/QtofDn/t8e+2W64c1ho/COBjLvFir6ksQfon7v KQ/tpXCj/VEjm9xuUHmuqVP2icLEgU0ZV10aIcJNq2jmFIVJGaetXZrKQVvL 8ayPGPHH359OndRpgWa7MQfbxTQu6VoVkaLJhZfGt1wDV9MYXBK3SK+UB1pW R3JrDWn8kcw35TqrEyw3ucxRsKTRxyLFZ31KNWTbXM1kOdDIV3eCZ7C6EmZV LHa5eYxGK6XYqd2nO6B5ssS48SyNe/w55hL3ecDdfvmwZiyNUzO1T4rt5UJu xLmE23dpLFK9IVnyoBUCRnWELHMJL850d1IlvLY68kHG9TIaZ/XXf+5Tr4Ps 2YbOL1tpFB079nohmZ8TqYIHrN/QODt+n7Qk4ctVD7SPbRilUc52rMRoRzfs PXw03W0mg/oblfq8QhugzoSr+kKKwWZbvdWlQ+UgIH40X06Z8EF5vO2IXCto CTw/Xb2GQe0w1sId4lwwX94Q/G8TgwdsB9/NqeGBxtqZMYY2hEf6m2lTvU7Y 7XDkbaozgx38le9thqvBwnty68IThF/oi6H+nypAK2vzcOcFkgc2UalOce0g ILe9TDGO6Ce4z7B7Hw/ue5996JPEYKT5acHUJpJ3b/q7vzxhsGDrTJPEoDbY l5cs11/FoMiCR/+WTLAhaWtQhFQ3g88kZDX31ZO+xxey3meIwRcXLHtta7og gsr41fmDQcHHA2pmJM/a3G6OXZrFQvdr3v2/x7tByOk/1ZoFLNR9qxTNkWkC kU2iHmLLWFjSoL7pEeGDOEehZjbRw/mP5Um8RZ2goT87/cxaCssdthh5bq+H TpflF9dsoZBvkw+fpwkbFpRzhiZcKNQufrhtgT8XXLUSNkf5UxhZq7M0/xLp +8qy95/colC6MyjmwfIqeNAdEroqlfRR5csrrG5XwT/23w86hRRyzJfURI11 gFBwicKrGgqrUoO/XGjjgVjZhe13ORTuHT6zYnIpFyo/CXydN0mhlamQ1x9P NvQqnl2tIUzj80/8B/bK1EPrzxczVBeReTV6oD4U1w0a69kbri0n/VOXrTeH 7MeXnNd/o/RpdL136885qW7YP64fs8KcxnfrVeJEAuthhW9O0u59NCaKVF1w lWJDz7VPVoc8aVS8wQ29LtgG3xYNO/cH0yg0umf8QhUXPHr5/n6JpPFY1C7h g148yAktqnbPpHHkVv6esk1V0BHu+3ZvKVmfSLTMdeEqSNrj2fSpkcbU5Uff Lh/ogG6nEKM5r2jkbDk/sqmEBx/E92wR/UKjndySO/idAxt90lLOizO4/ctn W3190ve1E1XfaTComF0k5B7ZDd3s0cQ6Iwavh3h8GCLzL6J4+c2OHeT9M98O Tsh2w70C/azDBxkcjb6yslS2AQZklpstPs6grkt91E5xNji99V8xdJVBk2d+ JYP6XLCKEDI7e5fBbVbdzz4m86D5g6pqVjnx39D//gsvqALX9r1Vy9oZlL65 TEpkZhU4TqR+0n5L9PS98Gv9jQ4QHlz75tUog6cNTl46X8yD9IONLQ9msvB7 +/qPJ/ZwgZn89E1emYXH5lwahEw2WLvoftXXYeFHCc+Ry851YPk55DGfIYXb Q2rXrttUAXYn+pepbqdwpXlCgN6iWjBuzJFq3E+h8S7/CXv5LhC5zeS5H6VQ vRXZuQI9UHrofvqxMxSmGSeuczfhgK/cGs1FLArrNi39p1VfDjsM2YqPXhB+ UGTyU7o4UGJV/rWuhUJrge2mvNc80Isq1vz5lcLdBpPz8sVrYduA/fnv/yjc 9XPEKW6YDY35aqUXlGjcUlvQ8H0nD6KsPGIPatO4LnMjs/gnFzA2JkrSmsYO uWfz/fIqYK3usSfvnQiPr91k3ytQC2vGdwTU+dGY5BHu8SarCx5yYpSLLtDo kHs2X060B8zKJJuPxdEYlryjndPSDeCUY7rmCY29UWoHDxL/Li4W/9XYSeMT hZ5z8dc4IDUSFXz7HY3eQU+rKvtI/019z7KaxeDIzMfm4jdqYKe8cPLUAgb7 3a1XfbpTARKc/o7UdQweF9v+MIr0l9KrD+x1TRk8ZeY9upSsX3zW7YUf3RiU MXL04OZWwOOKGgvJQAZv/J6eq2tTA0bWrj+Kw4m/6b6aXVTSCUk2Knb2dxg0 6+up9fvJg3Hbn2IuaQxuGlebdIzkwFCwqtS8ega/FyzNqGgsBz5R2wu5HxnU 6d7DKrzFAZFdS6Uaf5N5tFj0lf8bD9h/n7ZNy7LQ2u9yyfqsWjgZuWLgzwoW DpwcWS7MsEEzJun4APGn7cY7dE6u7ITxu//16hpTuCJkt4s96VPxokNjXCfi V6FnLbGMAxIqezxv+FHo/GK+w5d2HhSodoYkxlHYMn2zaGCoGrjnPwSuT6Zw 5oG+JFGxSkgUDPr4popCV4skk+MXeFC/NH5eThfpf0qC0+1FXHi7+tgV+R8U 2jkEm6hYk76vxU2ll9HouLb8qJJEDxw5/+Kuzh4aM3rF/ZOIn4Y+/Of38RSN k776AyGrubDmfmlt82UaJw6FXhmu4kFDfVBKwEMaX+2IOmj5phrUZvWcMSwm /uEWPN/tQgVcKjPI+dhD8nVKKjnEnvSvzZ65o59ojB/Ue/s+ngtnLkm8dxJj sPDt07z2BRVAXZ2Vmb2BwaGzyw0qhXpA03ujqaI3g7mKZwRnkvmXMrnSVxvN oGvk0xxnwqtqNxsWXGLIeS46uy/tPQ+EBYbSb7xgcLWowMKpyzVQe6vOeU0r g1tqurYV3CL9MPyX7dtvDP6ebDjp6sSDm73vDfP4WCg03nVz8B0XPtjsX6uq xMK7TnGLinMqwOTcm299BhS+ddbTjL5VCSdyR0PULShMFSq/fVqxGqLfZL7Y 5knhSCinXriDB+cWj4jy0cTfBeQU7/4phxKFtvZrzyj0u5myWUeQA5a9Z0ua myhc/yy2dbdwD3ioVsv//kvh46nVpo7KbNg2K3qO1xIaOwV8X0W0cmGt+bk/ npo05v+Lu7DHjQdm7r8aF1rRKK2jcPbd7Crw2Xw2t8KRRsGwbclvP1bBhiPJ OuzzNL522WSl/44H9g99lmEejVsLlI3UlrBh7VvV7M52ovdbEiHtNd3A3rp1 5MQAjQJb/wwUivRAtPbxd6+kGTxX7pI0dJYNd4/uUC9cy+A/2+98XelcCN1f 6Cm7hUH2HqWtc47xQCfv31TtYQbThDTvpqqSPJTpN5c+yaDLAdMzKv6EVwv1 RI1uEX93U0wXIX7aeKik1yOF7P+jP+fkiF8r3n5361cNg7MjJZs/q5H+IOj+ KvYDud+G6uq3pd1QPzkU1jrJIF+LxP2EuT1QNpSgJrCchWNdtfO8yP4+UV+4 WtOUQu8bdJiNegXcOFnHk3KjUGae5a8oEeIPG14uDgugcMf35+82KfAgUcmx qukOyePMCZnmogo48W3KmltH4dnEv54NM3ogJT3BRvQ3hZeO1efsfV8Olwwz 2y6upDFa7bX+5DgPRpxYacH7Sb+uD1nuQPqfw+V2m+4zNJ5y/487uZHwkPQW 7bkxNMYmPX+2c5QLNwx+DNln02j6zZYz910FqAiymzT7SF6fCxuMneSB4H50 vSvB4PhK32WRraSP/HgdOYgM/jrdILZ+mge3KyS2yvoSnuoTup1dxYa8kEP+ /NcZFPCcXR7Yw4XAYONTgfcZbHDnxd415UFc0+G71RVkv5eyo5atqAQzPH6U N85gyKaTs96R9dvSwVnSqiyclpK70TuLDXb75E8qAYXzxq8lrrFhQ/i22ORL xyg8drF8sy7hc5dFgdZr7lHYLTOodX0hGwbsH3u3lpO+a/9hb3M4F9SrZ6pU tZF+m3NNUfgOD3DsX5bUKIXF7VG1V5ZXg+a97+8+zKDx2UntuiTZSjA/XOaR qEz63rNB2295PBi0s1W10aGxKvYpK9yLCwaFyttEbWkUgxebrLPYIGsaOC87 jFyzBDpvEj5Qlv3splJA4zbb/NUi5Hzwxk/jqm7CL/ey39Vv5IJjTKtI8Xsa XyTrylVc54FFrYrcFmEGpU6ttL73sgrmC911kVvE4K1dVWl8y6rgHPqevaPH oHt81Nj9qzz4wb5qYbWVwR+nUq5HO3JheK/GGlEPBi+V0a+LE9nw4+vce4EJ hGedli0tkeqBTMfD0asayf5KDBSXfy2HIxKwvHWE8OzLXYrV1oS/Hx1gaqYI b6StLRwgz7tKq5g1toqFivnjHtNZFTClMlY+RvLgmGSjn+HaThB4UXlp/SbC mzk7Wq4Q/323uHD6li+FwlJ2uwy+8MB39+LxDUkU2ir3Lg92r4B35nutBisp PN92Zcs+kuejlipcxQkKPd4oX1kzVAEPVzu/eqBG43yV8f7nhC+ELtcwSruJ fzRq9M/ilMOtsITs5xE01k6Gxa8e4oFVVbSF5lMaRT5nBr/6xAbHr3fceDwa Dyya1d9P9CN3bXO4jSiD645IzNAl6+c7KbH23n+E1wJenP1D5qvrTlO10lEG 9Q4smtfdXg7XE1eHXKZJn+fd76L/8mAycMbj9S0Mbo1LD3wnWAEpvN6Ywa8M prPmV+xbyYPo89J2yxVZGCxvOX/cqhJaZq01MfIgfL3RvyAgiwfhCluDxhIp tJ9V7NS4kfiF4kGltkYKf5WWyIwSPg4yCfaYJn2xs+jrHPhYDsKmotq+GjQm JCzevfEmDy7m5v5Xc47k15Voz62kD7k3Wy80/f/vK/c3fljrzQYqMDXJ+S2N C9LS/AzJvK3ckBTWPI/42c7C+T+WsmFoU/mY2GYGj/Q3hcixyHkOsw9r3mTw 29Z7kfdiePA8aQtvpJrBytYBZZNzbEgzr3vR/pPBBxJ8Vmv+rydpGzNhdRaK FHXN9Ossh0qTu1wtk//3jbDr3uls6Eq0chRwpfBun6tBewUXYtf99yjiJOG3 ZHnXiV3EX5Y+0ym/TaHQodqzKa6V8Fz3ZVFPLYWxt0ZeHf5M+KB+x725vyiM uVTwuUOeDfsM1gtFrqDx8uaOAmYW6dseqSnu//8934Ztq74dIetre2Xfe5pG fgebAiMhHtxz4HQ7ZdHIBu8lU1cqYVpH8ZLCaxqPhlpPAuHLB64nZl2by+B7 x8yi8IlyOPHywzwOMCjuvuDwljk9YPiFqpXzYXDBtl8nKu3ZMHg+uT/4HoPl eRd55kE8WNNb9fYpm/jbvOCaY0OVoH7dOrV3jPBdqvfi471kPup1WmRUWGiu Zdi3cDsb2h80SUsaUah57eJciWdsqPNZuCrQm8LfLVKeRYRXvGS7ylTvEv8y 9dvV2F8OvqJvL9e0Umh20oYl+YIHRuwUnc98xI+H2mZb+VfAlWi/G1eX0ihr /t3uCul3z5X3eonb0Jg+N7m3RqUCnK5ekHt8kcZzdlSrIDl/baPm3SvzybzI RLgEEf7Te6ZRkTZEo8KDdQJBz3hQG5m+/O56Bs+uEObccuTBn5y3Sb+PMPhX OLfcclEFNCol/HGPZ9A8auM6h9k9YO5d1bLk/7//mhEotLG5HFbwI7fuD4Mz 8jyb5bt40HrAt/znShbqR19aUy9TAYOheZprN1OYoNNdN/GvHAxW/OJcPUHh eFle+uFcHuwsS7jYV01hfe2DuRrZPOgUK94g85Pwh5zyeEwHG2au3e57W53o +f2WAgMyf/WnCu9v2Uujx4sAVfNX5dD8/PXb11doLDmz6/sWmgfZ117++NNL Y3h5oHQq8cO+4JcmvnMYLDV1qtVNYINB+pRyqSGDciGmWVLE/y4b59coHGNw 7k4sekq+rzjGPSeUxaCD54kY13oeDOkulOv/zmDOexFlFeLHm9SSpJSWsrBu 5t0fE0srYFupqr69F4Vbj16XW0L4OUj+Ki3GUOi55pqCc0c5CN66u6uxmcJg pacOFoTP9wtItkxMU5h7OuVESiAbxpckrHwWSuNePpfH3X94sP1S7Hr9x6Q/ W175qT1cDh9lP+lcGqRxxsRQ+pVfPPiqtmHL5/kMngyOF/o8xYbTYdm5224z 6LZ2Sc2/l8QfLofZzqpjcKzIrzGV+MfHFIFtzb8YFFskUhvO3wOyT98K8BGe V5q1kPfYiA1xivy7e+KJ31ySp+TJ86zMWPy5q57Cwrt7s3PEe+BOxDtBoT8U Lm3WVEog85OHSlTIKhpnrjFarEbuZ2l/+2H0AeJPcgvMkwPIfnQ7z9/YT+PS jdNaqwmPue0Uq86RJH1mOGuGQ0M5ZM7t4h/dyKDS5nqsI379/c7FOhk/4p9B CsoWFhVw5Eu0DmeCwfnLlH5wid6zj1VESqixsFb8dkFJTzn0SHhytJHCTzKH 3Q+Q/DdZNnvJzeMUPov3mVxB+MpBRm7Q6D6Fp+WGZh4nfihiOGdTqgrhz3Kx J5Ic4i/mX1YK76JxoehCw9tEn63TXqLpl2jUinzztkWsB+b/EA1cXEjjnrP/ cc0Ws0FvwqArVp/4w4e1xaxCHnD4g17IeTK4ZNnSnGl9Nig8DzMJTyT68ZZT jCR6k7ARtNBvIn2LdpMJ0WaD8/GEj39IPhZ8dd3B0usEa6OeViNFCpPn7W09 HMKBs4+CRCc1KTRoUGH/0m+BOypa9C/yfKVy8HHfm3KIO2KT/MqK8KCjpbmh XSN4LbnlFOhIYQA7J0G/rRu0uj+ftPeh0MjZuEeS7NeC65cvLztP8jV5foNN XhfMOqK6Hq5TyJoM85dVroMTTkua+R9Q2F5mes+AzQYBpwPOj/IopJ+fVr23 pw3OHcrdkVpBoUl+YUGEMA/eavvkne2gcHOepVjLJh4o+O+sFx+g0Dd83MNB qAM2F5noD41ReGO73M/p4kqI4TuXksJPo/uDk9J2p6rgrdPT7DxpGvddW5O2 8mgnPBm2uuupSng+ZrOKyQgPHvqvip2jS/wsSmFZ40sOXJ6xmPNzC7ku9h6Z FGmBmOs75RvIeXl1iax9Lc2GRMNLU8OuNBoPGq7Jv90IKnMWVecH0HjX9fe6 HicOdLz5Gu0RTuPuPdqm8TOJvxb0ZrrdIX6QHHbfZVYXfLTX3WSaRuPXF0LX //teC5tPZEe9IuctcMC/89dewo9RGzRKa2kcjeCffSawDb6kizdf4NLIjbQ6 71RD+OxNv/Dt4f///1r/sdNaMv+Gkqt3/6Zxcc4U18ywHRyZsB18IgxqFjoP OZP82f9PvO67LIPtB3YbG7RVA2rPelq1gsF5Ky/+8YnuhKkueQcrAwYHhS0L Ett4kBRktk/ZgvBFeb9OQDUHvFWKbPv2Mfhp5tYBV9FWUGnekDLg+f//U+8s +SfAhjIzTe/6YAZVlHy+lfk2wLp1Gz+5RTK4s7jLQvJcN9xWPvJiO8WghAIP C4me5Rd0XJPPZPBKm/D8c4Ld8HCp0b91zxi8tqg0QoBXB09shOymyfx2tQZ0 iZ8k+XdZOiP7FYO3bU62CHxthekX63anfmGQnyUYeOQlF6arq0+FTjNY9KLj v4HDPODiyZ3S4ixcdXpxoqNjB1DFBue+KLCw9f6G+NK1VXBR3zjrkQYLj6zy Hm0frYRLax6EnCX68C0YOLBtogO2NQzWyaiTeR7f/+rZ6P9qOPNwqN73j0tS CkkUSrZSElGyhecpUURJEiJlibInkaTF2iIpWzrn8JEKRVpIZWlm7DtZ5thT yS57lup3d12/b/+5dI0z57nv9/v1YmY+I9Lxp/BldQLf0Jcqmr9UgkRUfuCh AwTecL9nYr1+EXJY+9I21YLA1h8Xcf/qgPs/Za045EzgXh3/gy/OA28tnW7T uUTgqfVvxC6+AB4ZWPj75iaBuV95R57cXY/qbLWLHicQWH7v1OoLDPDFbL/J lnTIDyb/COf+cmTWLvVI8SOB3WaWO3b9akIqajmS0ZUEts8ZXe4G+/7t6bqE fW0EDlnhXLiqohnprnJiBQwSuIvxnLE2swpVvSQrWZCf3eGd8tHg/1oSew0V eEncVrIymO6qQZ2SkmdXiZO4nT9swE6UjQQXz05oKJA4NYlDs6MI+CwHTQVr w774BLjtl2tEHqRXU6cxiZ+XaaoPdZSg2GOrtp04SeKF9G49kd8sNJE4IG3q QeL3e+5lxJt/Rt0VBSERV0lcbvt1PjGORq9LOGwHI4EX+Usz293YKHNaYa1F EonJI4OpAaV1yH/3NtbKLBJ7KccZXhhnol/+AhKHP5H4xW7pRaGdZYga6bIk 60icMXH6rUFZE9q6U3wF/xfgc1N/1zTg1z6eaOvZMRJ/yPwisc+1GWkylojJ cVK41WyoN7i4EnkafDe+LEjhm+dmd9e3M1DdkqxT7dLAY/m8BSoDtYiz5aBT +A4Ku1Y8rVo224J6kqvF8/aCfxRItzFrwV+TNd/8MaXwo/9CXU0tGlG7t3Ch vT2FkwvvxQXIlqJJv7a0FugT70XhoosYLNR1/3x4bBCF34avbuX0bED+z0bX dDygoB/8E2ONaKT983jwjhQKnzfyyzrVyUa9PIrO6W+BZ4ZN8huT6hEzW3uI KKZwj1jgB/c1LKS090D75ybwMRHOVsfQMhSU+GmvQi+Fxy/y/a552oQ4lDeG x0xTeN5RvfsU9NGhFgvGAe5EfCYoWrmVrwUZ+XmnB61JxN9HPBK221cjb+NL 56uh30LOWaf868cPER2sT7AP847B2oUijeju7ex7GioE3ul9JMsyugJZvFgx Og48NTl3+v26HUx05talA68dCHw0KypTHnyvbcRLztgH/FdZ4n1lFI0G7F9d 8YolsLt/lJ23TTFazmv0Zfgp8PaA8Nktp4vRtkT0dzSHwJvsRX5a1nxGVkY7 c8lSAsuMHR4+VU4jB1d9WbsWAl8KWMvNr8ZGy1TOczYBn5m+Dst+HAQ+sfL0 r/6lJA64+9mBUVGOuhlDK3pESHz66bxrmG8zsp/eWGEqB34rpf4rFHhrQDhn r4EGiWtZWUO3lJpRwOH95oMGJNa0P9Sg8KECCV5Q3rjaisSiog0Zc4uYqNQ9 d+UGFxK3bHASym2vQ5xDg0/+u0ziaidpE463bKRr5jedfpvEapF/zGwuwXxX Zt2Qf0Hio0nXDA29ixHl23VsTR6J88YN4/kaitADbf6iF1WwP9PT7JBPn9Gd kZihsnYSl5bc1tj6CvLX58OOsmESH65i5fYsZaM+7+wabX4KOxZ4iZUfYiJJ LjmBZ4oUTirkerrKsxl5aE1ph+pAnh5kSv97fW/ZXQb3qsP/3s9oFcZQbUay Vb03pWwpbNf0I1bRvhLdkeFN7QDe3Dn5Wt8HeJjtLnI9ORL4zTewipRhowGe bimcBH5fH/E3+yWNVIfyp84yKPz6bjWf83AxGq/YLNpfT+GtmYrC0bVF6E30 wPTwFwrXNHLlNLh9Rtf8MjyocQovlVgvsB6ej2xtJOnImYgFubfoBruw0VIu q9kO4Ndn0cMxJaVMdGONyMupHYl42vIc16e15SgDyT/K0yJwe8QbhVtOLNT6 kXn/+7/30+8U6L7TXIqqRtrzIqwJ/CtBz7pooRFZncJCsm4EDtZevdmSoxXt kPS/q3SFwMf9elOvnGxBb0+UL28GHr4tF6kaXs5AAaJcam6FBJbKD7iolt+C +KU1bt6qJbDKx0U3nn6nkXnXWOGbUQJfkfjxweBwGbonXx79+i+BrXRjQior mKj96tESLEVigWKjo6G6NGKsrBaXUiZxoaVv/SNuGp0efGTWcITEmZG/1WVp FlqvNrbzsR30taKAsW1+KZKoX68a6k1iEa64Vw4RTSgvLcrxUhCJ93tHj84t bUVSGjdL5aNJrFxTd/reYDPa+/zZ4kng8epk0UeN9QyUlvhqNKIR/JKI5iu8 1ILKfFPkjn4nMQeRHrH4B42UFl8TEOSmsPKb0Vif6lL0a4Nwde4aCnPs7s4S 8WChnjT3grOqFG4r2lQ+uY5Gx3ie/h7Th3kSrvrZCP56f92+ySdOFOYZbTWM aGUh65r05/W+FH5VXnHPZ3UpGlGLjgkIo7Cb49dclUeNSKy75MXaeArbD1i4 Px6jUWRzbe/GVPj5Mce/nUtuQYeu5vfUgg/MuT/hNYPrP5oee9d1AObpcKKy 0JUWdKM/IenOHPiss3B17BSNuIXGzT+KJeJkJqft89Ey1BUbP5gHvqDA8+lv POy7+Uf/M18gnwSdk6ettzYivz5x/em9BI6ya529WAe+0Rh2LMaOwMt7JdWD nrWgkJ7tJmbewLfVUZUereDHji5WFtEEvsbJ2rFephTpvMtu+ZVC4MCozV/W fmGhkeaxoORiAu8KDrZM8KWRdO2JIc8mAls0PisrK2cj2YvtZMcUgelkz1Mq 4MMrfmrust0M/DVtmzUD/m4StEdy9DiJr97btX7w399TAzhznl+C81lS3pgg wkYr1qkwb92EvNoldb2ohkY1q73tNNJhXsgWcrloKfo5pT82+57EslhB5Y0V C2kZmdo8bQX+ywlUlDKm0Y3n1eTLQRLTbCHvCeCJjTfFV0rwUjiaV0ZRSJOF dvHwHHLRorD2jtJzHeBbbL+Nz7rdKPy3oFc4Eq4nvGGbakgEhd31nk1bnWpB jDUpP/UpCl+T8Q1uGqaR59JAf5NCCu+Kan9GlJUis8i4dxO1FHYIMP0k6slC OuvPf03+SeECW2F+02M0Ejz4fMUFjkTcsGzxi6IpNjpiW6HVKwn9sZH3m0Iz Cz1piGA/0iRw0/tIYefSIvRrprG/z5DAD51vq/r0FqPO9ENSPC7gU/4Vtz3A d5k2QT/yCAJz5VnGn13ORH1zgv3G+QR+Ru0ixPqbUdKLGbPIagLb9J6/6rUC /Mxtp9LH38BbKVxPvQSZyLru/Vo5CRJf8z9hL1HARmd5voYrbCfx7a3GPH7e NHIu4o5hHyYxb0wC74RGMbLQX6R09RTw+UCSTlpGMTqkmeoTdB14xbmv2LWT Ricnzn5d9JrEWVN8XxKUmEimtCwlpgHOr0j1V/eLZuTXdCpB6SuJZyuLL6fB +auoXOFLEKLw6LeCZUmOTHQedwheUqHwQ7++W81xbLSu+T1fyz4Kn3gXUVR/ mUa5pS/oYEcKh27ueSBrVYxSZVjpjT4U9iKr3KZ0ilGFbtvpuRgKPz7WkTIH eXzm64Ns+acU/iD3JEDYmI3CE6445ZRCPzRnNMZrMtFgyvM+oz44r8f7xNIS IT8ibIWifsH+FlWcuwB8JDe+bHvxlkRsHhPbumSUgdQ9Z+NG9Qn8X9ObPcu5 Wegbctlde4bALV17bJNm2Uh5/g2nvi/si1x8TOM2GrWfnkm6FU9g9uE+p209 LFTCuDAUX07gmwljXGd+Q9+PLXWqmiWw64GF/XicgT4u8Nvqy5P4oMA3P/45 GjU6SG1RsyaxRE/8k0uFTOR5oikm7gqJL/IEfJjYSaPLEXlbKyOgj/nkRE0W 0yg2aCRZPJPED/DLmVLeItR6j7482Enic4YTFtXjNHpx0viutQCFU28MnGQ3 Qz56fFH4D1O4jtypVAT+hWsmUlu9IK+0fs5HpTLRlhVcVYVRFLa+RRyXKWOj 1b/XHdVIBn5zt4gcN6PRQt1vzyAW7NOOWzf3HC9Cnxr75h9OUviGqFX67lEa 5af2ZzdtTMRsPQuuxWuYKPtFmU2HDvTH1ZPFi1yYiC28Y6muB4HnmF/HpKGP n1quVBxN+vd+I66Sf38vEFCfCr7DIPBHZ5pE3mzkH+efH1JP4C9TCt6+yTSy 1VfTqR0jsJEt98FmuxJ0vv/kbNoiEqu7Gtr/HmEhq+3DFyxkgA+WLU4hUmkk uubda6GdJL68KWv5nqtsdEJQWajqKPDFDiWaq5yJtolePuYRQmIzzlzRf9cj a/9dpjcb5j1p6/uaDgba7pegGdoMPF02IKemwEZrxPpyfX6QGKU7uWtQwP8b 829zLwN/NOdac0agBOXxZNxpEaFwiHZynd1oETJdzXHOSp3CfUEfC8KDIf+1 7g/zGlBYRE8mgcOHjdw92vhLz1LY6uXR9zG5TOQa8HpGJQG+76quqgzzKOTw 26a/Eh6vcnaP9TeYl5fXVe4MUZjT1+L0pBYbMfWat4UvUHj5hrQ4yTwaxeze kvp2WyJeinTq94eykLRp+bsx6IP4c8+rN+5sROHcz8Zm9hA4Qu89qxJ8x6r9 7tfj5wksnHX2Y/8Ejeg7A6Z/HhPY4MGbG0X7WEh9fX1/ShGBxwyMtr+CPleN ixr8MklgvTiJ1lP8RahrqPicoyyJ31by1TGBL0ZuGWzoMCdxt33DHq8uBvL4 syrVP5zEpkaN9NAQjcSy5woGc0k89GTfYgbwwprLWcIxNMyr+YLJOX7ItwdH Xq5cQeGO2v2mDyEfH44KNtvspvDMZYmk6REaBT7Oku1xpXD9lnxpD5qBtolz WxiSFJ549N1/alErCvaq5Z6toTBb1a+p6DsTbXA3E38yCj7M3SZ7cT2Npu/c ODkgkYgTNyrF6wYUIcm6pmdzZwkcZmDVxoD5KjvZfSzrEYH1C1z3tB9nwr42 f4iqIjDD1fGNAvhkwd2+K4ULBFaSPnDWrpuBtLndC3YqkthzrDL9aSLs4403 V8KvQf4ddLiXVkAj17UHPy97ReKTW2Q4GSFMZMpVaCrRQ+JeryrzxTBvDTqv Mm6tprCwzePxBgEmuprHiinXpXChly27LY1GyT6OeYPRFF5YLi/he4NGm1I7 0tL+vZ/rvKj5bALwbteeQw9moI/kkyS3wePVSDBMyjcnYu+0tSqStQx04O4N 3TE9Ai9+US297C4TyTqOMz45Eri1yuj7lyw24p4SjDW4CPwoZqJfbUejb3Zm KwPjCLzo4e/0wJgiJLDUzPRRGeTX5LISSeCnOcH8t3W/CFzeumC0R5GJImcf RhttJbF3ZMefHzyt6IKrnOymEyRunbUqVjJhog+Pu0kigMS/4xwEfWfYKOVZ 7f2NGdAfhpt2HHlXhN4Wqqm0dgDvPS52MmmmkeHZ64rGKym8v1J6ZdJiJuI1 H8x+gCis+ij7TC74Wu+vq1vaPSlc7m7K8U4P7tfiwA9a/1E4W3p/R3sIjR52 2ry5yKTwkvHlbzJFilGSbOUuYgLmY/bqjR+faWTX/F8LLZOIA88kMOLtmEh5 +tJClTaB+9VW2XS0MZHY7vcRKu4EvioceC+IH/rTypXoSSSw9xtOExk2AxW1 W8qE18H94fa8+boUeGO50P5MDhLjAs1dw4dZKOF4EmkkTeLdLzdJb/GnUWfg GZVaUxK7qUp4Keiz0IXToTYXgknssqSr/iPst0pYyerhtyTe6yWbuxH2ceSA vpdDL8zT9pKvLSU0SjipJmSnRuE7OxOtPx6l0bXiyOs5zhS+2HWyvkmLhfZm apnKPgS+HPpRmbWkFb3ysklqr6Bwo1/P7Hd4vOS43DO35uF+Dj5YHNZOI82z 3eW58olYVVYo/sEMEzlXRCdM6hL454bAYhr6KKuvLs/kAoFnObb4vH0PvhUl uCGpBHyWNK3ZnkIjkWObTehpAq6Xb8m6MSZSm3j512ILiVe1n1H8Cvvx+rKG 9CJLyF83jp+oiYGeqZm3J9yC56O3wlwV8thBfDLlXRuJn+yzNTsbRKPQwH53 RT4K79HdWNeSw0QN0n+L/bQp/Icr9KGhAPjKofjNXe4U1i0/8FAE+uuYwN6b uokU3kaIazg2AH9URKYljUF/BbWJfA+FvlMWXNcjlYjXqLoe2AT5RYSUJqx1 JXDX9aFnT/pplGcte6mcJLDs0XSuB60MZOEkMnqnhsBVFjvu4gUaJRkF9uT8 IXCIo15Ozikm4h4n3AJvwLx29vp2TdPIpDZ8Yg54x/iwlLreJAMlPeXs2fON xIyL9eMpf2D/5Qzc0oQpfCiqqi+nlYnGVx1ZyhMHefWBS56/iUaDd8Q3scoo vJekfg1OM5Dd7iutd2cpnHjC+TYCvwkuMuFjyCXiytLse1ryTNR8KmFH3EPI J+NLNdf1WCgwICY0toLAupu5u7fytqL2OlPRsjng+RQ3njzg+x9/g+TwNhJL zbYNLfkKeW0jutXABr6+l0wOHGIhTrvLrIUuEqucPm8ex92K+M1ER1xWUfjM QZ7G/4B/9W62PMncQ2FCvO6TK/BuwmMnOfo8heWU2p5bbmah7hvczLgpCk+O BpkLAD+LXFaOrt+UiFN7Qsz3fmUgDfu1hcOIwI8dj8SwoP9jf6ZfO+IJfXNz uEUD5j3J4nXh/H8ExoOOuR+Pwb4t1TRy2Ehi5wviRB3wfsuT+YkyMxKTvthL 3Z6Jeuo8jM+FkngxzychZdh/EcSl0pUDeepY9lKSj4mWl5UVmmpQmHsgtNww k0bWopuJlnPA85nn23IPM1G04RZS9xGF1xtqyGyEfPQ1J9dNV1FYXo0/evkG JrpFenbPQj9++to+GarWiO7FuJT6QT8WfDr1O7YB7oelTgbtReC1VZ69fcBv Bi63Q/o2kVjV4LW62wwNfWAsbgZ9pxvwt10bzlPqJ8ej8TAS+3QfLPz8i0aZ 0Y1PHKDvLvr8tjoD+VvZs1asRRPm/W721uNfaNSQe7HXDvpMixQvqh2EeZB8 t6KKoPDK9zqdeyFPjbr4+bZCH63y3memfZOJ7kaXDAtCH11L17f89/uMfRKs lD3QR1aFH39MgT8WrBvJjP0CvlUQrjUM+yi9r/I3J/TLy6Z512zY74lMvoMy 0B/azCxztybgrWU7XYSgP6azZkXfCcL5qJKnD0J/dPJmczJgHkzE94ueh/7I 1x17EmTNRG/TdEPWQx+YLpHM2E5DHj2OazOFPkjyClvTCuc562v7slaOxCkr 7Bwl4Lz2eipsIqxILHAvra5/I/RVy5l7RyDvrcPuZ9QXwXy5Pwos5qfwZ1WP 24GbmEjH4Ocs77+8P/fHkAeuX5Nfv88a8j6H6/zfeTgvleErfScgv3fJC6Md 96FfqhdMMtwIvMEy+d3VZa1IqS3hqDXkdWy2/LqWKgaKX3Lny3QQ+OPKvLIS 8A8t0Xe3PSFv2SX42EPIR+tTPtVt30lstKEy9XcLjRRLr/+lwNf3MfaHfIQ8 uOoXsccc8jTK5C8tB////qe0oBWQp1veb22ZgzzxtLT09IH8NBATbOPtZKD/ vHzE2sF3+XPqHzTDvF+7qi3lZ0Fi7bDAFvdKBuJaw7V8HPyzOmPslAz4Waj9 yR+2kG/dz9tX68D13l49oVUMvsnW73TmhvnQEllx8h74n7RYv4VYG410OsyU dCG/7D/4zGaPMNACzzJpfsivsMdL5ku4gF87LHg0IL+SXpSkrVJloq2xyWMc kF+yawcy7w3SyOL0JZdAyK+HegJXdFdCvxYo67wHP3Orl6neDfnTq2ifLwX5 1bDWX2s7wUSdW2PfXo+FfGq/7/yARaP3D4xLtCC/yMfhSEj43+tT3WdWQn7d 7C6TNID7a962bYMu5NfmcxypcTxMJC0R8n4t5FUFx4ncXOgnu9MK2BDy6kKY poAE3K8jgQb7WOA/LipZmh7gD+6X0iUuQD7Fn/CUKod9O2m5U+cb+Euc6lmr 3XB/fAPa+zdDPqkrWoz8+7yQuucznSJT//xO59Aa8KeBKL4nRyGPsp6vVTSf ZaCZpZ53HSGP8s7H7lXRZiLVoBHdCvCPXzy9EoX/9oPuvugDeSRQ5JZhuJWJ NB89ONUJ/jBhYJ5TCDwtar0m2BDyKGkXx/V1D5homY9P/RD4wmeDMrlo2BfJ +snndpBHO382znDAfjnsu37sMORPlPXjfPIaE12zdzPMA55PXXFfPQ9+np5N dZ4H5M8tVd5A+d8MdM23Z53vXgLnPnx+TADmy8edw6QHePqUVqyjPsyzZJie xJnj0Jd6QsWJkO9OC3z3vwEPbznTPecHz3fb3YEzp91gXsMvf5ivhucreiyl DHj4zoHRgDrIH/3OV5QqQeCUJ/2WIQpMpH/4R5hANYEfyoSW6UC/qv7hO679 m8DTq0SDu6cYqHcocvoZ8Kn2bIrLEMxvsEacjSD4emGhp/YmNSZSyjFRFgRf NpF/bfMJns/8su9oP/gy/3z8m5ttDOTq4CAhBr7rFC0uv/Pf55fc6Ik4BL77 0aMgaRHk9abLjZfKgRdtG2r6v4B/Ltg7dTYC77mcdhQ90c9AbXa9XmLgp4cn ou4dXN6KIguLS47/88my/PFNGkzkl+pT8RH47FpmSLQD3P+trdrfncEfI18w 7/tBfprkX6PHgK/yh/W2tML1KU41PToLPlc5rcEIg/tnHjOTkgG8xD22uugG 9GfPOYW/duBX66waq4jPDHRqd12R9z7wdy6foS5+Jqq+MPCtCfjGZv9EjTjk bY/vLplbwDfGVqdPuP6Afd8+d/0v8ModcxeRo/DzutUbnE56UNimRslADr6/ MB7UQgF/7J1M0xYAflBvn2EcpgjM6ua12FjDQK+LtuStqCWwh151bdcYjXqM 4/rnYV/zlXIcLcCnDLXjL/u+AT/t4RVjgE+pRH4OqQDeaB1Sq++F+7s+dDjI oJzCVcUDEob/Xp8ieCefb47CrpKfRyz+0ohNPzkqXEngP9OmRnlw3mbYb1xv nsCvOKd2KMO8xRoaOYV0w+OV0FfVYH8/HfpLTgAPSJkZusmAP/y0FH6yZhoe TyhIXw7OQ8/hWNBh2URsZNSf1wv3y7+gYNQHE3iZyCXT7hkGmrZxymdD3w+J JkpFw/2NHe22338M9uWmgUA4nF/BtnPlP6DPM1zCimeh3wQzVuedeEdiS6kT zK3bIU9GqnpsXSjszJY4Li7LRKnKX0croL9Vl7yLPwvnnXrYzT+gmsLti82N x/WZSEu3aPI39LfnOGfcO41G9L/P++f4/3//+3zz/339f/qbaNg= "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl2Hf8zuUXx/EbX5tEipQiFNkrkUrZiuxdVkZlZo/IyN4UqeyQvalUMkMZ paiMMkuDNFDG73n8/rge57xf73Pd30/3/bmuc5K7dZe6nZMnEolksVL9PyZS /T8vKb2RMpFIkZRIDBWHKpyUIpHILO+p8D66GL2S/5nagthh6wzeDmuLTbP+ tRbi6/DSeAn6easudsPK6DPG4W9gV6wF2Fq1pbDi9BD5RDW3+rs9eF/K68pz 40XlK9TtVPervCPeEN8oPk+f4j1ozyF6JV1MPERPFU+ra8tvY+8/9CV+b/FF fLPYh77Mr6P+KL2FflK8Ts8UM9Bj+a/b/4O8JVbe3hry3fhlfK78Pvxde9bw SuLF8O50LroIfzm2AyuAfWOdwp/HWmNTrUvWfHw1XgIvSm+38mNfWyfxNngr rDZ9zUrvc8dgU7BH+NXpXfQ/9Dz+Kqw4XYQeLJ/Az+Q5X+YdkNeR34svEAvT y9RuU3uB/oV+SWzA3yC2oU/yH4jnp1fQRcWD9BTxhLrW/Jb2/03/w+8lvoB/ IvamL/GfUf+p/AnsqjydfDQ+2b7j8hZ4OXuqyT/D/8bnyHPjc9WvjPcRL4y/ Kh/Pu4XXjXcPXYheyt/Krx/PRJ+g7+d/Zf2ItaJb8GvR/1lp1YzCJmF/xd/D VsR7hxWit1j54p20fsBb4s9hNel/rTT2j8QmYmX5Vemd9J/0bHkuzzdb3fJ4 F/CC+HUsuXyIOAjfLY5Tm1HsGr+3uJ+uLebkvysWpJfY86n95+lz9ItiPf56 sRX9Iz9v/C15EeyAfLJ4XE0L3rP2dpD34v9DP83fLK+g5oo8tXwEPkHdw+qq 0Dvoi/Qs/jKscJw3erOVB9tvHcOfw5tj460/rJn40vhN8AJ0F/pu+kGfuRj7 JO6H+D7pH+j7+PviHGLP0s347eU9+X/TT/E+kT/uWS/LU8mH4+PUHZM/h5dR v1SsTG/nXeDtp2fR94rv2DdWXKKuID8//xqdTD5YHIjvEseqzyB2Vn9C3Ec/ I97Fny8WoN+z52P7f5a/gNXhrRNb0Md5ueP7khfG9sqP8JvjTe1pJ+/B+4uu wbtkpaRfo8fyH+JXorfR5+m3+Yvju4szSHeic9D51SzCPsJyYV9Y3+PNsCbY GOt36y38PbxAnAW6I30n/YD9C7FNca/Eb0gfo+/lf259hzWlG8e55vX039IW 6y7/E6+u5mP5Y3Hm5e+ISfQw3mh7fqKP0s+Kpe1bIlakt/J/4++jZ9L3iDPs HyMuiv8ufj7+VTohf1V8Bf9MHKM+vfiS+r3yWvLsvPvlC9R+aMsz8Q7RR+l7 1O2xvsWa0I341ei/rRRqhmKjordYb2IL43uJc0R/YOXEdkffwxvjDbGq9F9W cvuHYCOxX6zp2IJ4FiwPPUA+Wk266Dm8bHQ++l3++3EHxTtBH6HvjvMiL6R2 V/QzXiO8QdxLeI/od9jHcYfTF3lV4r2iP6IfFf+k3473mR7MH2HvWfoI3Vws Zf9i8Ul6C/8cf2+cCzqnOM3+0dHL4jnjTMZ8wBuE9cdGydPGvR7vmrym/A48 r3y++o1xL8b7R39P36Xus+gZWEO6Pr8yfTGGEDWvYsPjDFlvYPPjs+Ls0Bus HNjO6IF4A7we9lq8V9br+Dw8D56L7icf6TPTeKYOvNvDo+fx18ceeQfe0/ha sSn9He/O+Py4E+iC4g56UvQ2dfX5deP7j++W3z16If5R9Bz6D36lOHP0Jrq8 +Af9lnhD3SD+MPu/5zXDSmJPyD/Fz8a5lt+NT7VnLu++OHt4X/kIXmpee17W 8Oi5/HX87Nj26Gl4vZhfsKHWGWsKPgfPHe8+vdbKhm2LHobXxWtjFekL1nVs YPQirIS8gr+zmT5NT+bPxnLROek+8uH8VJ6rXdwR8qflt+HzYl6j56hdE/cO fZZuLz7FXyM2ob/l32HvQXox/aC4lZ4Y/UpdnZgT7P+Tvsh/WWyNb4reSF/g P6n+Q/kj2Hn5DPGamlfiHrf3O15TrDj2uPwT/FTcg/K78En2zOLdG+cO7y1/ jZcy7jdelvhvpmfzV/NrxNmnD9O387dE38Nq07X4T9C/W1exAXFfYSetiTFH YvfEWaBXWVljBopehz+D18Qq0L/FPIL1xwZhxeSP+Zsf0yfoGfIcnm+CulFx Zvk5eTl4/8XMyh8o9sJ3isPopLgzYu4R99BPiZn5c2P2o2fZv9L+3+gzdDux On+12Ig+xL8teoe8ALY57lx+rZgd7Gsl78I7Tz/O+0BeTt2vMRvx+uED1RWV P8r7iP4xZoS4p7C74/zRK6ws0d/jXsFrRr/HXom52xoXZwq/C89Ot6Fvje/V Z87ElmOZoxfFO4k/HX0VaynvrOZ3+jHeL9YVrC89gP8tr4nnLYKVl2/Cj0cf kN8Zc4D6kdGb+Dl42Xj/xrvGf0Xsie8Qh9Ip4j2NGVHcTdcQM/HnxAxHv2P/ sugz9Gm6rViNv0psSH/Dv9X+RfL8cadH3+I/FX3WvhbyTrzf6Ed578vLxhwo v8zrg/dXV1j+CO9D+ljMAPw3sTvj3MVvRt8S372at7GlWCZsU/Q5vAZWDStP /xyzCdYb64cdtUZj07HscRbiO6Yzxm/j897ClkR/jPua/pq+Jc6qtQurTleN +ZDXzbM/h3WU/4o/omaj/GH8p3jmmCliVuX1jbuNPsxvLBbC3xPL0R/wj/C/ oKfT2cVR9o+IfqYuGz8r/wp9lT9A7IFvF4fQyWNmi+eTV5dniN9aPsO+xfZV iT5AH6QzxjsePQ2rFv2XX44+G/NEzKpYn7jvrZHYG9gdcYbo96wM8btFT8Or 4pWxsvSZmCdiJsR6x/1ljcBex27HstDd5YM9R7L43njp4zel3+Qvir4avYD+ ik4fc4z8AbUb5Tt4VaJXqbuAd8WfxT6MOYr+hfdwzHv0BrpMvKPxO0ffi3mP 38ve0/QhfiOxIL5ILEu/z/+W/3l853Q2cbj9w6O3qcvKzxz3FK9/zC/YNvFV OhHPEt+pvJo8Xbxb8un2LGRXip5Ff0mnU7cheh9Wma7IL0OfipkCexnriR2O OQGbgt0W54peYKXF1kcvjPk6+kjM2vRJ6w+sG9YDO2QNwyZjWbBMdLfo557j Bt08fkN5Vc+bNt4x+TT8XXWn5M/HnIuvFOvQB3hpol/TC+j7xXX0hOh96iry n7D3YvQzfhexOf5BzI30OX7pmGHp9fRD4gl6mnhBXVd+d/u/4TXEHsQelm/E v4nZSn5H3FMx2/Ayx7nEu0bv512nm/HSxPtKv0HP56fG1ka/w5/EKmAvW19b Q6Jn47fGuaDnWamwNdHfYs6JnoCViv5jnY9egXXDCsjL+Dsb6IP04PgusEx0 BrpL9HL+NbppvL/yKp4/dZwH+ev43Ji5sZN0m5hpeSvE2vR+fsqYd2KWpfOJ q+nx0cNixol+EPcQ/Tu/s9gMfz9mW/pnfkn1h+N3okuLP8R5jvroKfyu8T3w GmD5sYfk6/GvYjaV3x7vd/xN3i1xJvH4h7gBvKt0E16qOBv0VHpOzBExE9D7 6CT+quiJMcPEnR/zGX08ZoXoBVgX7EtrEDYOyxhnhJ4d4zW2MnpizBF4eaw4 fcz6Ne5drDP2gLy0v7mOPkBPlWf17APVjeVlwNNG38P74Z2wrWJ/+j9e43gm ejtdWUzJnx0zIT2FP8vec/G+0q3FCvzlYi16Lz+5/Qfo+XRecUX8t0T/i5kh +kLMJ7xOWFOsg/wnvFi8m/JS+NHo7byX8E7q75eX4q2l98ccwR+DpY9zSM+0 kmHLo+9F78fLYR2tfdYAfDSeDk9NN6KT4i7wmZOxdxKJm/+Quix6W/RbrCzU RN5ezVm6aJwFeUnPd0R+jvci/pK6g3h9PB9WUr4G3xuzu/y2+G7VvxZ9jJ82 6eY/1yYu01f4fcWO+BaxH/0vv2H8rvQ2upKYgj8rZj16Ev9t+3+mf6RbiY/z l4k16S/4N+L8yvNgS6PH8ctFT8Aby9vxztBFeKvlJdR9H/MB7wX8RXV55SV4 q+kv6H4xO2Fpkm5e8YkGdPK4L9RMxN7CrltLoifiZbEy9AvRR6y+0cPx1Ek3 /wkgUZ9OFneE/ROAGdhjMevRn9PX6MUxQ8TdRz8Uv5u8Lf80XTjOk7y4h/ku emvMGfE+8TrEvU1/xa8n5sEXisXpVfw9/D30ZDqL2Mf+YdHj1KVKuvm/solL 9GVJn+ip+KdiX/oKv576rfKK8UXEfSAfj79JPhozHr2HvhpzQvS4uB/jzqcL xb0fM0a8W1h7bLfVO94RLGXSzY9MTI/+ai2KHhf3EV6KbmftsnrFM+NJ+P8A nPoN9w== "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl2Hf8j9Ubx/EvSYoIRUSSmVUyIiF7j+zKTjIykow0iHaIjJK9yd57750t O3tWGiLl97wevz8u1/V+va/z+dyfc9/3Oecra8tOdTomSkhIuHtvQkLkJEkS EvolTkjoRmylW4vCoii+CJ+K/0N/K8iEe/GPFd3xbfQbEdgF7AiWTxTBnsMW Y9PoO/R2uto9CQklse/oAXTKe/7/oeVcy3p1Xb238J7qtVh7Xg/5b/qmHO1J +Z/g/ege+tPIgxnb5e38ufyC9BQ6m7668j76rNyG34Z/ER9K/2R8QXkuP7/6 HO91dUN+Ub3F6CXq6bx/6R10dX4pbAQ9kE5FJ6Lr6SET7vPPp3RPegfdNuZC FMeX4j/g/9Hfi6+xh4xPjNfHXUpCMuwz+l16Jz2PflZPdqxdfB59SX2U/6wB 83gF1Ofx1upGvGL6nqeXqWfwsumbwLuL78RrqGdipfkt5NP0JXkkfxA/NT0m 5ptfXt5An5Ab+Kzb/HfpdfSb8TvlW/TfclLj7+d/jn9M99KfVv6Gv4s3n1dI nSPmC9+vbo+3wy9jx/QXwufjT6sv4G+oX+YV11eCXq6eGQ+uGCUNxtLoSYI3 xO7DHsC+oN+jd9NvxnyIF/AV+Cw8kRgd8y2S41/i72N76AV0YZ+ZE+tAt6ev qI/zC7u+Bbxn1BfxNupXog+/pi6hvyS+EuuPzdaXXZ7I+1FOTO/i16Rn0S/q ayn/TF+Wxxj/DT8tPZa+l19B3kiflBvF+8jvRa+nO8SzIt+m7zc2Be8r7AN9 D+ND4nvxhXgRdS5ex5gT+qr6RLwD4gWsFLYKm0PfI8bGXIoH8f74h9heupPo gF3DTsZzKEpipbHV2Nx4F2Lu6Vq+sww2jj+EfphOSr8c6wL9Ht2RTs5PSQ9Q 9+Y94tqH8vbhi/Ci6tzxnuAH1J3xjvh1bBh2KtYdeSHvsFyIvsRvSy+lX43f LV+nf5NLGf8ifw0+IN4j/TnkSfy9Me/xLPBr07Ppsvpek8/QV+Txxg/lP0Lf x6uIbYpnIdYK/H11JzyFvlT0QHUf3n56Mf0c/ynsrZhP+hf16Xi+RGmsDLYW m08nFRPiPoiH8K/xj7ADdJf4HaIsvg5fEO+AmIgNw9L5nmT4q7Hu0B/E3NEp +anpQeq+vHSufxjvIL4EL6bOw2uAH1S/jXfGf8WGx/NqTFF5Ee+IXIS+zG9H L6Mb6+sk/0LfkMsYX46/Hh8Y90l/Tnly3GM5Gf0j/yV6Dl1OXyv5LD3J2OG8 9PGM45XwzerGxtzFP1S/hafSl4YeHPsD7xDdVbyF/YadiWsWZbHy2AZsEX2/ mBxzK9Li38T6hR2m34k5xm5gZ7HnRDmsArYRW0w/EO8FXcd1lMemxH5JP0o/ QFd2vVvUTWLdUvdWb5C78HrJ/9CpWQ8bMwT7BPtEb3p5OG+HfIS/lF+cnkrn jfVOPkSfk7vx3+b/jn9Ln4trlRfzf5KL0Vf47enldBN9neVf45qNrcjbhC3R lwufgidX78PrqivEWUDfd3SG8OimsY7q7RPPB52G/wh/qPpT3k9097gH2B/Y eay4qIBVwjZjS+kUYlrMvUiHD8M/w47SPeIeYH9iF7DnRUWsMrYFW0Y/GO8V Xc91VIz9mj+CzkinoKu4xq3qZvoSqz9Sb5S7xh4h36FvyQ8bl9644XH99Of6 H5W/5e+Uj/GX8Z+np9H59DWSD9Pn5Z78bvy/4oxDXzS+mLwk9gX1Vd6b6qbx 3uO/qSsZUwXfii3XkzLea7p+eHFeiLMC/Rj9IN081kbsUexb+gv6OP1uzDV2 E7sU67mojFXFtmEr6FRiBjYSy+TzUsb+H+8+lgH7jv6SPkEvp0vEuSie0bgP 9N/qy3EPXfvSOMupr+EdYm5jnvVVo7erV/Jy65vKe0h9EG+gnotV5r8ezyh9 VZ5p3Ch+ZnocnYpfVd5Gn5Jbxn4k96U3ye/EXi3/S9+W0xuf0fgR8dzQX+nP IH8XeyZvBe+FOCfFvhPvkvo9vCd+C7uiv5S4TnfkNY/v51end6hX8VKLWdho 7PH4TbEfxPOBPYZ9H/s9fYp+P+ZB1MB34qvjnCpmxzyLTPjI2Hew0/RKumSc eWLfjntJ31Zfjefd9S7jlVb/gndSt+BV11eT3qVew3tK3zRe2lj38IbqeVgV fmv5PH1NnmPcGH4Wejydml8tzs70ablV7N1yP3pzrCtxTfJ/9D9yRuMzGz8K /5weqD+jPIL/M28Vr1Scj+K8QPei/1Ff0/eiqIHVwnZja+OMIubGHIrH8dH4 19gZurd4D7uDXcfKiJpYbWwPti7ehVin6Ua+syo2jz+WfoJOE89ZnKtd38d0 dzoTPwt/jHoQ7zHe9/H3Ab4aL60uyHsl/j5Q94n7if+LjYj9zJgS8nJeWfWv vM7qFfGc6uki36B/l2sZ+xL/x/hN9Hr9eeTp/P1yOvoI/2V6Pl1N3xvyBfp6 nIONH8fPSk+g08Z9l3fQreNcEPuEugeeWe8TeseqB/PO0WvoF/nPxnmB/oD+ T/1r7GGiNlYH24ttiP1GLIj7ILLi4/BvsPN03/gtoi6+D98Yz75YiI3HnvQ9 D8f1x/nDdX1K96Sz8J/kj1cP4WXijeRdwNfiZdSF4nyCH1X3wz/E72LfxxoZ a5m8gndULk//xn+LXkm/pu9t+Xf6D7mO8fX4++P+xplMf175B/4BOUPsS/xX 6AV0dX1tYq2mFxk7gZdN/Uhwvcl4n9Hv0k/ws/EnqIfyLtIfx5yI+vgBfHO8 D2JxzKHIjk+MM2qcR+lP4rnG4o/ZG7EXinpkA+ygvi3xTMbeR7+qp0bsyfyJ dHY6HV3DNe1Ut42zS+xT6l7xvqnvqp/Un0P/pNgf4gyhL7M8irdLvsxfxy9L T6cL62sc+1vcl7h3/D78RPTImFvjS8or6WNyRfoGvwu9KtYM47vKf9D1jW3I O4Rt1ZcPn4FnUh/DG6trxr6vbxKdg05Pt4tzlN4vYm2ms/Fz8ifHeSbOLvRn 4iMscdxrrJJogDXCDuvbFr9TLIt5F7nwKbEXx95Lfx7PMXaP8X/G/igaYi9j R/Rtpx+P/ZRuoqdW7Mn8yXRO+lG6pmvcpW6vL7n6S/UW+X1ebzn+E+COnEOZ Wz019tRYH+Oz5dH6d8vX+Ov55egf6CL6msjH6YsxD/x+/CT0KPqv2KPkVXQV 9e+8t9WvG/cO/qe6kTGv4D9hO/Rkib2cbsqrHWcA/hQ6F52BfpOfE3sKmxbv W+yB9JcxJ+JV/Ci+E39CrMSmYrmNz4h3iLMilgebTo+MPYreQJfXUxT7Kt4R +l76Jr+q+IPuGmtYrLP8xvQx9S5e/jgP8LKqT+LN1Auxl/ht5UvxzBkzjfeU eiL2GK+WvDv2IDn+gytFnAPorfIH/D5yoljH5dzG51X/ENcX70XMlTxG/544 E/M38ivQM+jn4qwrn6D7xzvMS6r+27jS+Gp1NfWf+DvqN2I909eEPq7ezXsy zgZ0c36dOBPwp9N54t2gO8UejuXDZtCjY52jB8T8iKb4CXwPnk2siXkX+fGZ +Jh4J+lNdEWfWQwbSH9K3xfn29h/XesadXX1X3g3dZt47vQ1o0/G3qHnR34B eRY/e5xReC1ifcTqxrsaawj9i7zW2B/4eelJdGZ+bXkPfUbubPyDcn96m/xh 7EVy4tiL5LzGF1DPwsfGc4aNjf0T34xXUheP/TPefzpZnPniHCGaYs2xU/y9 dA6xLuZQPI3PxsfF80YPivcfuz/OMXGOEM2wFthpffviXRA/0y311MPW82fQ +ejH48zOT+n6BtC96fz8Z/hz1ON5WXnjYm3Bt+CV1c/zmuEn1YPxL/AH1Hfi PBPzF+uM+ibeXb0aa2tMt3jn47Pk5sa15P8c+zG9X//T8mz+QTlXnJf4r9GL 6fr62stX6F/lDcbP5OenJ9NZ+C/Ffaa7GJsqznFx1sEL6C2od656Qjwn9Fa6 Cr9EfH+sD3Ry+t84Q4gW2GvYGf4BOrfYGPdAPIvPwyfGb6SHxG8RrfCz+MF4 7sUmbBZWwOc+EXs69gxWCJtPT4p3yHWOj/cO34ZXVb/Aa46fUg/Fv8JTqEfH mdWYsvI6+nisIfTf/B70Grqdsd3lm/RfcZYw/nX+uTir0IfiGuQ5/ENyHvos vxW9hG4Qa6h8ld5s7Gze07F24XXwvequxjyk/lr9EV5QX2F9C9STebfoYaI/ 9qCeu1gd0SrmThTBF+qdgt2mh8c1itb4efxwnG/EFmwO9kzs/7EnYKl97yC6 L91XfU+S//+/fyG9/wPXCg7l "]]}}}], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"RP[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{1800., 0}, ImageSize->{350, 300}, Method->{"AxesInFront" -> True}, PlotLabel->FormBox[ StyleBox["\"S -> 5\"", Bold, Large, RGBColor[0, 0, 1], StripOnInput -> False], TraditionalForm], PlotRange->{{1800, 2000}, {0, 1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {945., -157.5}, ImageScaled[{0.5, 0.5}], {350, 300}], InsetBox[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJwcXHk4Vt8Tl2RLkpBQFEIhIqQwUaJsoSiSUlTSQiSEZMmWhNZ776uslSxZ IspWlkSiLCFRyRZS+BbxO/P7yzPPOXfOfc+dM/OZz8yx6vBpy6PsbGxs6QvY 2PDv4MCSeWxSFNxUNXtuG9Wu92m+3K/c9RTYKDF9/hHteuInBbmfAQUXr3VY aoe3662MDDRnWVDQEme//yaRn/drvlR3pOB8cLGeVGS7Xkr8KzuJsxRcPvDG /yPRZzn1QfZLIAW76e4g2+h2PaP0EsGZWAp2SXndNyHjH28OK766T4H0fF7O cLLeBl3WBbcnFFRb/Qz3JvqbN8gPuFRSsEluw6saImt/Uovc2kyB5se/qapk PZ2aK/vreilQ/PI66R7Rd4UtzyTtFwWcIdY9q8h6t0cPnT08n4YDBQksXO+X Yl/haSEaHiYv0cgl6w2k5yopydJwwXeI8wHRn9Ix/0OtOg2H+14q9RD5of1a VuF2Gob6QtQ2kPU845vvhu6hIXjZRbZLuJ6YVXGqMw0Rbcc4xois2S3Off48 DcfmqRsJEzljv0vYmjAaVtv9dSgn652QCVeQv0UDf46VczPRP5KsNMudToOZ nN/3xWSc/4g4252nNETHbMhbQ9bzOtstc7GGjN8wrnIm+pI3rvHTa6Ohgluu rZrI4kYGk1YDNJRGX/u6iMjKtx/Qon9p+KX1UeQ10cd17/r5Eh4G+pQi588j ssLU7nNPxBjomZa/toHISzjik8LWMqDUMluD+5lgLsm2SJsBy6C5G1uIvkMD gQFfdzLw9LHAi0Tcv01HVe/uZyBpZs8tfiI3tElyJrsysI76VTRA9J1WPrAo ypeBT0u9GuSJnFHxZatMJAOORt7/tuD3TYHb/BQDVRMse2my3kVdKem2Rwwc CIg+K0b0LVnT8vZXCQP3bMwb/Ym81eTDg9J6Bo7ZHDv7i8zXVLApONHFgEfY 60XzcH+ss765jDBQWzJOGRL9vhoRO7bNMiAEEZsdiCxhk9nSuIgFAd+Wfxcn 8xdUpV/JWsmC3z8fuXIT/XlDsm5uyizokYmPcMTvdfDCuYt6LPikODQ3TOaL iIzMzhG5PvJcSx+Rv3pJ/G2Xo8BuTtz8JJFnnlL/NLQo+PI3USuTfE/Kt/ZR hhEFny8cT9TA77upk+eELQVq5tO/t5H3yXkxG5N+jIJnRRGnl5L1Zl7Vl815 U/Dvr4aoEbHXenNj6nQ4BcIBfY/mcD8S37Mc71Dw9u7hEFeyHufQdqvbDykQ /Hr7YxfRH1TolDP4jAK2J7e2uBE5lFv5mXUdBT8jK6qOkfW2WH1y5+ygoMqw q/8Pef7wEcZq0xAFR6zO8C0h6wn8x9sdPE3B/of6OnheDfllhAcW0iBWwnH0 Mpk/Mmji0SBBQ7bucoGFRN+OCrtL04o01NkmN9FkPXmJZdpbdWgQfbNynwcZ v/afP80ypaHRa3lmP3ne3ybukYgDDUcf5xz4SvR/9nvaw3+aBg+uK+wpRB6n yqvNAmj4+tzeAvczUs/bNi2GhkKxbFoB7edIR5xoIg0fRL0u1ZP1/INlAt5l 0TB67pN5BBmvOHHx+sIyoj+5ruoDeT66OcjCoZGcb33xwEJc74V6Ue1nGjSy Jooj8fycmTQu+EnDuvq3h93IfLEVTMTgPAYMxSV5TIk+UZNxT01BBpZK85X+ JuvR/8YX0qsZ0Bh+UXmfjDc/aN+9cwMD5kYCAhXkeV+JxlJvfQbKm28aXCP6 Hy7xaCu1ZMDZKEbnLJEdwyvuSjox0LI7Nz+AzGcuv+C55cGARd3v67hfV70T 5WwvM/BvZ9hpESKPql13ux3HgJ5p+jhN5LazKg6/khiwv1ZIp5Hnd2zw/XM0 j4HmWMMdrkS/QtGHkn2vGFA5cVLLisgl2iIqCR8YeHhYa9VFMr9Fd77ZwDcG +Nj0F14l+rxfUSJ7JxkQbu+U0SLyG0OJGF5OFrRk7RPMwu939dF6EGFB8doe 6g55vtP2u8/VNSw4Vp4Wv4voz055e2ZCgwX615Oz9Ijc8yy36AU5H9+/vhwZ IPNdVG7+G5amIGq3vsc3Iv/oOuQ9oUZBsE7zzkVEf+evH/tyt1FgnV51bB3a 6+HMjGBrCmRsvij2EfmplfjDU0coGF52wpgiz1s8Nubn96RguVmtjASx12tJ iw8phFBQ8fGryiYiKyYb7VO+QYFLn4RFN5l/ZutyyEql4OnJHbaKZL39vpeE MwpI/Hi3IfIo0Z+x4tFuh2oKJrr/XlpCxotFeeakWymI8d+cexPXu7HUhv07 BQ3cAdporyZ+3cI3psj7Pq/n4Sbrjc3qV6Zw0fDD9tXzITJ/LHK5CEuU2Jtk hIYt0XcrP8xGSIGGpp9bLG6T9fp8o8MWbKJhR9K442oyTj+0XplhTMNy6f/W x5Dn/3rmJjXso6HyK1tDCfqjXSENH08Qe7Zyi3pPZKEXI98P+9IANgsXVZL5 EvWjo86RNHgJlrGdJvoitz1xkKJoSNTaIlJN1isQeqD74xENHBFCW3eQ8WMu JrVNxTTsFjesQfsLWp3zzO0NWe/SZ8ubRL++z+M7wZ002J3L35aL9topIRXy g4bxlptKZWS+TId0/LxZGnT36CaFon14VUz+WcTAh6nFJEK36zn5rC5LW8mA 4odDO4+S8fGWgr/HlBlIeSu/zJc8z10w1a2vy0D2vpvLTxH9of/+rGsyYyDT 5/6m/5+XnjjnLgcGhmr5hF+T+RrKo1zMaWKv9/hPPiT6/Jv9xdwDGAg4L39C lMhm089aHWJIvOibtXUhckhk4TRbIgON2YuUndG/FZryS2YzoCa+q8qY6KdH 91StKWcgwVjy3Bki+1dOnHz4joHQSzGnnqE/VVdif9jDQEGYrlsl0TfFt2bW YZyBum8uOXg+knWtXOXYWdDa/kEgiMgt44qXuQVZwEqUf26H9ra4Zh5rNQvS Zv211xP9T2r+nsrZwIIDpr0rbdCfRossY8j5SM7W80Z7OfT83mTVOnI+DtmM jBN9fNdbg7y3EHt7fCrDmezngfkp/1JMKLBS9NSzI/LeJbwu5vYUNHl6GOH5 fKTQ69l7koLFcgJHAoj+tE+7PX76UbB0hPeCPbFP3pmg1vxoCmJzj5lkkfHJ u4591xli/1YCR6bI81S8u/PlTBJf3s7nuYf4ZmK7qUIpBZO7amauEtnxV/bq XW8pOHxN0hHxQ0l0bl//J3I+tn7vRf/iuUHB4swoBZ58i7/LkvXee2ike8xR kOAlV3qHjFMrFrgoCtBgycFnspz83mHjwMZ/UjTwZGzNfEv0Tzasf9SrQsNd 3/gNBUQ+XpI47LeV+Pugg/fekvWCDB9IxO0m/t7VJVyb6Ju/ySPX4TANqs1T 2RNE5ssc+K3vQcOeJZuXHCHyW9/4NO3LNFzyfiUsjOcph638exwNa3ot29B/ 1wdz1Aok03DZeqsG+hfD36zS/FwazncP/f6A+OBUpt22lwQ/2arLyBB9t4Kt +8ze0/Dd26O3Bu1lfkkr/zcarpZnR+LvH+Bo9Pg+QcOLogPf8PcJHBS91LyA gdLJiy2SRF/iqtUT50QYKDmZM8ZL5NbASpvra0h8OOLM1U/kPL+Z9HUaDIQF XQ6bT/SNBKWzMg0ZuDD/jjPi1wbZ4eDHexk4HTBmuZ3Iy1R/Nh5yIeejfjpS De21PXrh9fMEP60dyMPzTa+oUNcNY6Arpq8d/cu1k8fnv7/JgNdl9+ouIq+1 TS/7lsaAQMv5pK/kecWM9K8ZhQxsdPqtc5Hozw/akxtVy8D9eXteyUfh/mn8 CmhnoLN+raMumZ9q3H5bfpCBx+zN+U5E39+LS9eb/mXglezPL4hnfpt9e/KD hwWLNUvXfCHyzrVrO8+LscBnOnoDxmOj+5y/L65lwbnHX3Xtif7MoGT3TZtZ 8FUlhSVOZL9+C/tucj564gOcEC/IR1sHTK6iwHzfckUpMt535mX+e1UK8ji5 pHG9mfVsOQX6FEg+en5nPfmeTV7LZmMtKWh79yW4BPMDRuHp7sMUhFau8XZA e0jk2ijsQfKJ77Pd/4i+s/XuBpyXSXxY5mNkQuxXO5VdQziegvWvJOWXkfGU 4SCNZ8kU3Klpl9tH1quyv1YdlUfwXIFioSvRD+nHVzi9oiCQpSU8RGQf35Wv NnygYHBv6acjZD3D9Q1tfV8pmB7pP/+K6DvxwjiHmaCgIF4qZhlZb9t5S7Hg BTR8uSXitYKMu3cGuISJ0GBlwqEfTNaDLLpCSo6G1uZb6QzRX/XIKPO7Bg1j NqJX54icfLnU4ckOkg/Msnc5kvW0QipZD21oeHTHWx/tZ6Xa8MuyYzQ8WWo0 iPEr1WzBfycvEP/dxvcX8ezXuEfFhuE05GoLNd0g6/nkrdgmc4e8D49a/2vc T3vXldMPaFCjV/5E/FX8LfdIQREN3He27rFCvGtcc9rzNQ15HxZ1BGI+0Hp8 4eGPJF6E7eIqI7KuoErkySFy3r8Ej34n8xWe9YkumqEh9qupRRrijci1mh0L GbB796xuEn+flrbYYwmCr17Kn9iJ599N1txbkQGfg9tD95LnG4IWjsltYaDi s5wU+tNzHs/3dJgwcPzU2wPobxqiZ3aV2DPgEJRq8QPj22UurntuDER156nW En2TbCNLAy6SfGJA+sNKIv9zeBu1NZrYf4bQBQsi29/ye83FMBBj+6d0G/rz 6YJb048ZsB4790SN6G/lFdm1qJQB44+LYy8gngw7ujD/LYlfvC9SWhHPKevb R3STfMg30qWH6CvIHjzrNMaAlFcrmy6ex2en2jeysUA6vaH3FJH/JP/IGF7M gnXvTjzbTJ5/dkJre5oUC9ZP/eZGe1DbL3AqRoWcJ3mHpANEvjBZ/SqanI+j KeZb8PutFjvo3ahAgZKtmsl6InPIapfZaFPw12uDXhjZTz+9p9YPdlLww1Oq YzuR78t6FNrvJ/GAyv/jTdZXPjcW9OoEBQZltesRz1k2Lb7znw8FQzsTzPYQ +xyW7Su6HknBjSVPhDAf4GDEKi9QBJ91JkhgfvhOr9P+agYFh7xmFj4n+kVa red4nlOQqR8+7kPkXxdPj5jXk/M5LR17i6znN1aTMdVJAcvly3r0Lyfrvryz /kHOU5Hb1ZVkvfH8RAO/fxQc3XImDPHPzwShF7z8BK/z0WpmZD23O32r+lbS UPtK7Ocg0c/UbBcZVaah72N/fBqRjYbtlh7Uo8F+oMoxkawXLil04LY5DYHf /zUIEn1gdDlL25GG/5rje0aJ7JVgMSR/loakmh1BoYh3+B493XaJhnitLUFA 1qvwLomqjqUhRmTtBB/Gv9+nM4Xu0/Dx3/qkVrLe4S2HWZU5NGglHNiO8fj0 sPCUXAUN2zbNKM+S5wUzXO/ubaLB5vTD9gqif/0hb6PhXpLv/6kLx3ygSvvL p4ZfNDj15nsYkPnCuh0Luucz8JLHqlQd8bFGxMa9Qgy4tIxF/0N/pteRc1OG 2Perd6yXZHzbUtd/2uoMXM9ZmvGFPJ9nXpIVt40B0dok7ruI/+9mZRZYM9Bw 074a/e2Wrn0FcJQBq/sRN/eR+ZbKqbwJniQeTJSssif6RHapKu8KIflKisIn MfQ/jRcLCxJIfLqxY6iEyPOOnowZTmEAStZ1VpHntUeXnA4vYCB6Q4ShF9E/ SgtreVQz0HTrZDDmA3ZeqbERrQzEsr8tO0Dm624b+cXdz4B2cafNeaKvaFXb /d3/MbBuRPUL8gGfX7OtmuFiwdkduQ41RHbrHFxgL8qCzqLzyYXk+ev/vDRD 5VkQkR7itgf3U+jZ2WWbWMCxdO1KxFuZu9kXviXn4xnYKWD+8XvnnLaIBgXG uspiHWT/Sp52sGcbUqDVz/9KCffTbLvd+b0ET7UEfVhK1lPnWURHOhP/bbOg pw3jXVHkd87zJJ/+0PpHndhn5oUMf5MwCgKqZcMkibz5RpZxcjoF+kkpIvPJ 8yO33Z3qCgl+u3ydH/Hb8rjhkH21FEQkSsVtJuP7/tl+WDFAgXorXyjGH2Vt T5/oP+S8HSgM+kXk05tzXxaI0VCsqJK8nswfKz47zLWOhoWrgBfzBy6TJkfp zTQ4dE2vMUZ7dE5KG7ejYeOqVINm8vzOIyvbfp+kweCpnkwpka051WXComno dRk9jf6Uem94QYIh+buV5yTmB3fe9Dl0P6bh2/tdlxA/c0/fXuDcQIPMfPOf D8jzsRI/FdI+kfOwfWUpxhPJGcfFk3MELxmvPY18gvWh/QWiAgwEX2lMGiP6 2Ep4ne9LMcAWJ9iJ+Fh/4MvbA8DAaMkJbeTHboVpsNdaEDz0ZItXEJEH21q4 754l9poiWxVN5nOmLl519BIDB6U23xUmMnMzdbVfLAMmWrM7L+F6nl8v6z9h YDxC8xDas9P7hK1QSeznDVBORD61STS99gsDsj8kgjG+aB0/FLH/NwPyB+yf axC5sELznygHC64cUoi8SeQ1eTYvbsiwYNSz8Y0ueV5V89vpZnUW1Ps7CJti vjV3bvttXQraLxX+MCG/T7f6eup9MwreTOaHeSHf0d18bO4U8VfJ3AcRX88M xpkM+lPgJrMz4gCxD4UmyYm2GArc97wdRnzuMsB9xjubgn6/MysiUJ+Q5l2j cgr2fN+1CPnGmbWM1MfPBC8EFwb7Id68faoh8icFPEen2OSIvgLVN3yu82hw DN60yxPxxJ/lAcLSNCy24GAVkefNPiyHlg00bHI7612L/t9NtzPKiuSjvl9c DqK/UXB6GnSEhnln5YsQP9+vCpq19yT4+/zvNfj7Nwxtm+C6QUN9uVIc8p2f hG5/4Usl+eLExkV/iFw7aljmWEWDt++o/A7EFwd0VHe00PD7tmPUayK/SZlz Vv1Ow9lT99ZtQHweuGemmouBRwPWYfxkv4/wPcuLEyX5oAFfjgSRZfqirSW0 GIjP+Ge4isyXL4iPqTViYNs6T/MkjK9Z8nbJtsQfflOQX0fkZ5c9+WIuMFDM bAjH7ykzZrlZNZwBdl757cpoH7u+/vz0gIGQjuQ7bPh+x/X2Nz5j4EfNMlHE J74uCcqpdcRe+L1NFhOZ3/wliRkM3GX7c9SKPK/90azYaIYBQ/09/IgH5L2P P4mTYIGdtHv/KPEHs4Y3sj0VWRD8l2sC91Pp51UPOx0WBBb89VlAZOMA1uNR 4n9e+WygEe+Eb1aDaSkKLr+68RL508PPPK1fqlCw5e2BpYcw3zMLty/cSkFl 0Uk5dbK//7G9Sb21mwK9wzW2aA9+ldk6BocoWHn1nJ0e0dd4x7lG1J3E7/sC 9cOo73By3u9LFAjsOrjditjH1rSDydxxBL9OV2zB/YeKpzmlSRRszqp8fgbj b/1NqYu5FPhvyTc7S/RH/DC6fPQlBbL1Ww+3E/mjooK89nuST+6Yb7gL45/v o+XtXyh4MuCtkIf4o3t29v5v8nvSBQ+tIOudUvu43YODhiijnS4bMd/lULvm K0xD5NN9x+6S9YQy5P9bs4aG+ZvfaiYhH2GQWt62kcTziU81o0SWG/vtn29I /FXJnghj5Kei6uhbe2molvyZE0v0NadKluW60LBi/07pIcyPbgiwuXvTULbv s/08IhudD7+ncYUGERmx14/Ieu4nmzXW3KZhbkYhroHo/xxows9O8KvKgdX+ aG9fk102pBfSMOq1ZJ4OWa+oy2rnhVriPz1ZeufQfjlrKi3aaciPNb/2ksiK j4vAcZCGxAVLFKfJ/AwFow7BaRq84o55FSJ/f8OhtY6XgZqky7un8fstM6zO EmdghcvbZYj3Xhfa/wlYR/Kn++fXIJ7ccFzYW2wzA1cO3DbaiedXmTXYvYsB rfE6Lgbt/Uv2i0d2DJjXR2kjfpDPjAu9f5KB4cpLBu1E35ObKddC/Bjg7OE/ JE3k99f2fd8QRfBq4L6dyHdXM59UF9IMPOFJ4lQnz09SQ10DGQxc3dHoLod4 WdQrmu0FOU+yAZnoXwRO0PufNTCgVrL7BfJzg49Mwn0+MaCsMrnwJ9F3g73+ 0dFRBpy2J/VtJXKot5+AzhzJXy0ztZ2JzDtbX/6JnwWXVgi8XEeed7w15vxI kgWlj/g4kM/+vfqum/96FgguEYjC8yL4SIoOIefjEJsig/j1co3Opg/yJH4a ab40JXLgqSGHHZtIvJYIm8R4F3UA2B4ZU5BjvMJTh8g1WXKHnPZREG/qmIx8 /pnb53meHqfA6UZ4PsZ/uTenlGYuUBDpaOthTuyz89mydZciSL638kvMDzLO yzqv6naXAtV/ljsQT54UXtIW94jYf9jd7jdE/5sd9rZ/i8l5a5Yw9iDylkoz a8s3FBhx9R4KRDx2r3nxXAcF/9783buE6Pu+rFxwxzDx555Pr4mS9ea17okN nCH++tDtwToyLmFJDfzho8EvJLXhGFkvs+L2zo8raHj6p+bEX6Lf/VXjrgkl GipsK4TvE1kruGiNhS4Nq/8IR2H9iy/K+CJlRoPswZvz0R66zSMfyx8keFKm 9P0g0b+OJ7hP/AwNQRwzO24Q+YF1QalxIA1HRxYcxXxpjf0d96fXiL8eGn2O eC4vQ/aeyD0aSq2r5zWR9c44GsS8zqbhnZFyFIV85aPal8vLabjf+QcG0d/o TXnuf0fwgvj2jS+Ifu5rLWwdPQTvLi9ZjfEs/8PJ+IpxGrhCBY/Zkvm3Hm+p +cpO/GlEmy9gPrn1xQfDpQTvRbXF/kfWO7nyu8MdaQZme+ouYL0tyuF+mr4a AwPPjwk0k+dFNao0Qw0Y+PXJUhV/T+7eWINiKwY+flZydiGymRq/gsoRBn7n 5WZgfeA/2w0RN84xUKp4/yLil6ae/oe7g0k+lrBJHflBUXbupenxDKR9frLu MZFPujZMjiYzsENFzvkpeb7smmHe+XwGgqovGCIej3rk6eNcxcCqiMKXyBdG 2X76HNPCQMTiKi+sD0SU/yf1p4+BDG0xa8Q3tzyedVpNMfAmRFdMG/nAK/y2 8wl+PcRlE1yMfOXGOjGzZSxQ/xdS+wDrVevW74uQY8Hcr+jPFkT/WOe2s5xa LAh37a3RRH/GaddbRc6H/YGVUYhfz8Rnty/YSMGC1ODrv9A+PxzJzNlOwTrf /14hX+7Y9me+/x4KXmjkhc8Q2Us5XvriUQquXPOvRT7TN3fQh9eLgtm9+/UV iH2y+D+NaodSwP7VUEGJyC2uX18+SCP2/XW17jLkN3l9SoqfUnByfunkEcxv 2uqG7Goo6Np3d8Ua9DfGGiIC/RS0ciTG/yTvq2O3tib2PwoeXbI/PIv1ACfn Hw+Xk/wsd7enAZn/snBmFf9aku9/Mo+4hXzfl/XnhLRp8Dw3bbqRjNudepTy eT8NW7cbZiO/Nte6u/m7K4kfJUqeiCcKB5bwno+i4fapTUaYn8RHzbiupEm+ l3xlrIroSx+rNuvLoEE5/Bu3DRl/dVX28/F6GtbpFUohXj2xy7w3oYuGRZ4S Io8Q77hWvJuepUFz0kEd849x16t7eRYz4Gbz4xDi1w13RZamSJL4f6q2Ausx KW9/2FjoMTC2JEHBmzwfoy96s96cATpStzacyNfmO12hzjAQGfjuLca7ii3V tGsgA7x3LK9i/carVuWi2zUGWnODJ1Bfh8jyWpUcBv7sWBuG/CFb78RltQoG FoSZXjyB+KZg9YeiXgY2X7yqko/2W2zw0v4XwdcDH3dpEjkzcLu61HwWnPrK dyWKyHU9iz/fkWbBv7WG+9F+xudOn65QY8ERh/tXLPH9jNZ8vaJD7GVm2w9b xIffxC2TTUl+851WPEbkExx2o2NuxN8WG/1C/r/p63j3j4sU8PmGvEL8Kuay 27n6KgUdWxRlb5Fx9lKdoYtZBD9wrh6OJ8//Dtb9rVVGwaoze43vEtm+M/1y TzcFK7740seQP/y2a7H/GAXvzN5sRvz6yvLS/tNsNEywnfO4QsYfrapP41lN g7O72nQleX51U7JnpyoNPB2VBqVEnmv3mImxpEF/e9N+xONHVF3zzzjR4Pbg g9skkW20C/6YnyP6Ki5f3k3kGw2rO6biaRjefP8G8gMtb8xa+FNo6PgruwLx xnjm32jLVzRsXu7Ip0Hmd4zVLNz1gQa9m3oGaG8p7w9ISvXRkPTaCQyIfHW0 4EU9JwPHR9cW4vdkXzZiHbyMAT9ONmPMF0+qvpqV1mTgbPq+bOQXIilmWckO BmTSjg7eR77oBO9Yug3xT1sNYrSQX8icF3XNmwGx/U65iA8+h/IWal4h/ky3 UBrr46W7Dff1ppN8n9L6NI79E7znWC+KGDiqlbMe/a2o58SZ268ZyPstYidB 5P1vGk5qDTHw+aKJlB15XkxRdWLnNAPqLuwimO9temdcHSJO/M/SLQ29RF/S ObOmC+tYsGqm66ID4qmi5R47t7BgQnpPlwCRe9X+C/5O/M8CRRc25F+Hl5xf kG9A8hfeW1mKZP9k09LvLTlHgUeYyaNF5HsGam1tWhZMwVRSXZwB1o+Hr5yi 8ingPVJU50Lm1/WO3fz9jeTDUyOXPiAfQMc73ZmkIE705BkBMv/kE8FoMXka DCV796P93L5YfK/Elpz/ZOcUzKeOlxbW1h8n+a+DjWMXkYNmXHavvkvDj/zw Y9j/oVewJeFsHYlPRVlXo8i42IOFVh4dNBzhH9j6DPPrS5M3BvkY2MIb4YX+ 05Wad2yjDgP72byXYr54sbCjrMWUgRx1rYoEImuf0Ljp7c9A3Lz/FMXJ/g3s C7JalMXAAaZ5DfIZ2v/yucXKGOijZfww/2px4NY69JMBT3HlEfT/wjqB0kmr WPDsQpv7GuRzY0NOJaqygLdmf/N+Il/puLLq2GYKmqngVZg/nlyl/CBtFwWO CTF15oj327I5J3wpSHu9I3Uf2R+NE2k9Vx4TfMRW7or9BI7OpqnLX1Dg61yj GkzkMX/O2MMjFAQoNc2Txvqnu9qfn5I0WJUlZHaS8dd1zz73r6fhXITLLnz+ PvjmmBwi+eE/k0vINzgkfEptvU4DW+KYORv66y3PigWTaGiW7HL8RObvEf1c ZtlMw0nXN8eryPzrDRcM2jkYmHdyYwfywbqKexOOCjMQMF2ThfzH7uNP5O5t Z6CqMOYV4tmM+WKRcV4MPGsfC92N9de8CznbQsl+c0y6Iv+aa9qlcPcpif/6 9DYf9F9VX6pEBxjI9+CSciPjH99OHDP/w0B0aakf4okfb18IBymwoJ+6r7UP 8/1d693ltVnQOKZcKIvr3ba0ydxBQRnXkJMqef93pYrW870pUIhfbqBH9ufF V59FDldI/OP3tUX701Jw5e0oInguhKsJ/eGnbN/4dYMUtHxbz4n1XcnlZYrh f8n+egV5fEc8V9pXME+Rhr30YP0dMn/FwbsPOA7QwNGwOrCTjCeMDXbOO0WD gNJo8hMiJ0vEhoqxaDiju1gO+fSdLvzrDr+lQW6Mfp6D8e3H9bOF3SRehtYZ of8t2LtGRH4JA4ss5JeP4/uwf9zhupXky3Wd2zDe3Htj7fZyN9mfPVe3437t XGyb7BBE7LHJJRb5kobmLF3rXIKXknjMsB5WVbVxzuQlAz4s8TY7ItsuC7Cw nWDA4F7xAownl0JZ1HVZFuTvLYvC+tKZU/vPfN3IgoJli+oMka/Jr0x9oEfB e51VT/XJ+yg/4JlONKfgr/KZ7aGYv/1UL+oLoGBHuV2NHdmvN0vf/3bPoeBW pElKIBm/krRe37aCghMB/psLiTzfNDb69jgF3StfamK9cO07572rZGj4wvkw MRvrJ21XeRvVaDiRWFz7HvWvtiuKP0rD5FNIQHtt4HJZLHqThsPNR1swX+2z /zLGm0bmFwvOov0dqs3Za9BKQ6g154taMj9C4PemCm4GNlx5Z8yF9Zt5oUJJ yxloqTu7Sg7t/W0EV6sxA6/HNyegvxbaNxAV7UP8+wOjzci/Hdt398XaCAYO ha/TRrxyq5pXuLeYgQaL/6bQH1e8KxK0/cHAkNPBaBO07ysnLxn+Y+DRHvvq vcj3Lf909awSC7hO8yVjP1H2a8OWKeJfzeJ7NiE/8Oz6/cSLUhTMtau0YD4o dbBBeosKBcvzFHuxni/UZbph01Zy3qu8eTTJ711ouGZafDcFS9WmNiQSWWLv b7YSRwpC22vrkP9/tkzk+p2zJB+RvvDmSxTm8zo/XC8RPNhlIrGX7PdLuat2 QdcpeHv8Vyj6s0VKlqf1kyhgy8l/44f1yRBx04knFHhlCxWew+99Taugr5IC bi31sUbkC0Iy2583U/ApZbUX1gPZVotpW36hYKwvgw/xFduZdlnZ3xTQPoV1 yI8GL2E6BufTIPX9s/hWxBe3opInhEh8d43ajPyc/9oRwYeyNKwt9ZtKIfoz F+/ZtXsjDQ8/6ezpJ/Kx1MWLNQ1peLx37yfM11OvvaUW76VhWXe4H56HTMci HSUXGj67bC/F/E5ws0jw7/M01Ge7HV6I+OOYd3xmGA3fosWDCsh6p4yUVdJu 0bDj8/dW/D3fBXVCQ9JJ/n/qlgjG9wvBW5evKiTvlx3WhvWNW2m3NadrMN9Z wrgRfVorpyRr2mgoL39sj/4w2cdf/OMADcmT3bc5iOzW412S8JfgzYXLtLC/ r/Cut9w2XpL/mFosmCXrXeN6s0JVnIFXhUu1sZ/glIN3w/x1DIQX357UJusd sRcridNmoM7dJALxR99CgY2HdzFgwgq5xEK+lH+ht7QdmW/Q78uJfFblPkPp kwzcFu9zx3qTgNO8t9x+DGy3bZuWJXLZAyb+USQDKotXhWH+PnMv5lsUxcBp tuFMzNef/QhhO5TBwFqRKh7k3/QlU5V9njNg95ynG+vB8nab2HUaGAi0XZOC +fq1wXes8S4G+CL42f8gH7DuRU3fCAPt3l/lsB4baDM/o2yWAZErV2UPEzlu re4bG34WsLdFvsP+vg1Zb84rSZL8Z7KpFvsTrcMcf0wos+Dy3VfyeD4OLqi/ comcj/s6i9/ienmSj2/byFPguiab+//1g6XblEu1SH5/UeE78knxwxwt64wp kBNZ17aJyB2/L+X32VIg3/W0AOONgGLxm/XHSX6zJuAh/j5B45VTFy9Q4Jd+ ZGIXsU/rkGyn/8IJfgkZe4148qpkan/fHQp6z/p/syfrbQp8lCDyiILXfSNa H9AfsX0Odi+mQHNqhP8MkXuO6oY11xF/OPg48Bzms39ty4M6KLhTG5uDfKDM i/VqZUMU2P1UmBMi611xUSlkn6GghCnRQL5eVcUx4CwfwZ/yveJeWN/c+8vB egUNum7vb7Ej32Bww9lbiYaegNg3LLKeisWx7Bodgndy5A9gP66Z/pFFK81o kHm4+jj2Q2ZaxWSwHGhoXbC7CuMVZ+WKIwmnadC+kFBNo//8r9jgTQANBRz3 9h8i89tMw4+uv0bD3PmihdgvkH0l8M7NRBq6byvT2J9xflyNyyyb4LP31w/E kXGlyKRH18toeDm3S+gzrsej49TZSIN4VqxfMfJLaQsOWPbQoKImcS0E+bMk 1dNbxmn4KVTx7TCZv++o2wMXdgbW9U2nI19Va9gmWyrIwCa/xZex/svB75Yv Ls3AJbtfi5HPU+F44Ve1gYF38mIU9gPtVKjzndNnwL5/wD4O8Z06+1UdKyIX 7nI9ifmAw7HeNCcGDqtWqeF+7jr1n/GycwxoPLx1FvGEyuNtA+8vM6AqLLMR 810OcdMyqXiCT2QDL6YQ+f6pgIdnkxngWhsWmUWeD+753DKSx8CDlVedsV9p /5MU8c+viL5o+pYZnn9jnyuCLQxUm64z8yTzVdj8Nc/2MXDNu1/0CtF3hXr0 5/0kA03swxybiPzOJeFXKCcL4kXLdTC/4zq8WbZahAUtrXe23CfP8+ovPMEn xwKrPmNL1G+xlffnRU0WuOmafthM5HhHroYKcj6m1D2fIz+gvInnwUV1CvYJ De9A/Pb+iELwhu0UaPDNc0J+wGOFte28PSQez+3dgv1ZIuWtfRNHyPiLL8Qv tOs5q9zZFuVJwbX/srtXE/sUbfeSfxJCQU3e8kNqRE5q8Q9SRH6gpenxKqJ/ ruJfv9pTCqJUzy3E/jku3+KVXdUUbFCLy0W8LDiWrBH+nYJlIhJCyNe+HOIY XfofOT9XUw7MJ/oap0rnyS6noWgzRxH2VyprVmyJVaBBMfDqS+QHRrI+/Yva RPDU0GDhOjK+1j0r2WY/DQMnAvuxfvoxdsjikCsNDkKF6W8xv+9g+zcSScOL fq9w7De7dszmKIuigf3Npy7kB7KCCquOZxA86y/Gb478hq1r/dAbsj4b5z4K 8fthf91FXTRUJ3NaYb7hJP3rif8sDdFfdFrxfG09m556iZ+BqMcKecgPvI6g jq+RJPn6rfKzJ5HvqRi/W6vLQOL5AfBAflEqvMfcnAGh7ctWRhP5i6iC0Yoz xB7z9PiSyHwpbunOkQAGdvhvO4j2d7jXc21fDPHvEcdj0D4Zl9yhtGwG/t5Q qMTv39AvK/u4nOC1E7tvYPxxnEgbUu1lgNOT1sF6LPdX9Z6ucQZyY0q+IJ57 cPDN2yR2Fqw4Hqwdhvr+GxqTkGaBu23eQexfsDyycXSTGgvCtCtGrZFP++Gf y6ZD8HCmb8JB7C8791lO1pQC1uEbYYeIzHuTeXLcjYKb+TUN2C9bcuj+g9MX CV7oWGOB/MB11UFG9yoFKe/3dGK95q1CWzpbFgUWKpbvEB+b61RI5ZRScPRF 4C/kC/g2Km882k2B6aPSfZh/akU9Wz81SoGMikflGqLP5IvdpZ9zFOTV1uQj //8mf03J5VU0xD62f4j1rCiLE9cOqpLvfWfvjWfYf3PtatQSSxqGDFt4tpH5 6htP530/TMMChec66M83/DY/X+tB/Nf13d8w/zIqW9JwOp7gg7+a15APaEp/ 8DYmmcRva+4ryBeEXX1/ru4lwQNnX6koIR/zjP/Pm/c0lPW/y0c8KTgc5Xvz G/HPw+qB2C9hnvadZcHJANs80bVo/7sluFNmREj+c8P5L9a7BFo/N6dpMLD5 TLgS4pGSmCS7jTsYsPDRMUG8aWnkq73OhgFF5XWciMdyK6t3LfFmQEIwYTny Z7qWzpPPwhg44XHTCeP5b+spviPpDAjM42rE/sFjdvwVG4uIv6yYscH++D5f WcGlrxl4KuyQshrx2ELry9mDDCzMWWJxEPn6PasF3/xlQO15mxP2i1X8K3o3 K0bis13X4k7sn49c+2V6LQs2d+w5j/0mZiu7x8s3s2CJ5WorESKvv5p85gvx P7mDk6rID/xO3Nyx0YCCDMH6MaynC8jYusZ5UOAuozu6gHzP/9g/8sZcpsBz OkgG+9ldk/nuCuVTkNByPuo4mc8dfrDQ7RsFD8aNU+uRf1A6HSExSfK3qsUK GC9bVNrSaDkafh09104hHrxUmqhmS/KBu2530sn8bRcsd+w4TuKb6qxZD5H9 2yp2Jt2hwVGlMAjtZWVgUNCv1zTon3Rowv6O0DLtrMGP5HmN9l3PMf8PFfh+ mI8B3qSJv9gfSMVwZmRuIf5+uk8Df/9/CSYL95kysDN1Ugn5r1sbr3+Yvkjw m67fV6wnZTyU8ArOZGCZWFroJjLOzdH3IK6U5GuUQcp5zL/C/lj3jjFwJvq3 PfY39FvZq8uuYoHxVPk7xCNNEztHliE/0CNqi/Vsw8CesW5tCpxuavn5k/c5 lz3uL7+LApOR8/d3Etllj2Ojly8FOb2TD23I/nB82Mpa+JgCgQNP4/PJePHK d02xzylYH7/IMQDxu6xnTscPClq3pP6RwvPFGb3opCQNQvf007+QcfWdgdOu 62nY/jit9iGRz24LyK50pGHPhH438rsCYfW3za/TcCTn4EVOxJOiwvlx92mY t77u00d8vlc2830TDe5LA19ivcw69KGMPQfBk/urVTF/ilY9861LiIGNOoE+ GJ+C7J+6im1n4JRsIC/ikTnRzzuFvEi+yl9UjPlSYcCH0eoQYt+S1Vdwf72Y 8yaCTxlwMZ87ivzrrQXHu671M+DJ82a1O9bX/usLafyPgW+zQjeQTyvru7OG Q4EFPbr+rtgf1pD1+ydrEwscb/EErSVynvwypfU7KNBfkeqI/YIlWzpXhJwn +/eKZaKNfEvWUsMPYRR8v3deCus5cT0jGlZFFDgOi2xGPkvCZjAveYDguXeN v9nJeOqDO1YL/1Jw5FpIIuYfoToZ74LX0ZBYXVOJ9avhw6x0X3uS3xTCojbM rx8G7/d1o2E9RxZPEZET/xsKuMvQ0Fh6YQD5LAVVa9GvDSR/MPX47zHixwUV 9eu7aVh4yiwN49UCe3BOFGDgcq6KFsZzgclPkV+BgULhKkfEWxIPXz013E3y B3XTC+gP0j/m9vZcYqB8lc4F5AdiZXYeqnvCQAH12BPxdnz90cSqSgZ8Doi2 YH3OCM64tf9mYKV5bhXW161p38dCsiyQiTproE/GG5skx+w2soAlXMiL+ere /RJeq/QoWFFUeGsHeR8NrYbGVeYULIr6qY32K3jqa9CxAAr03KbasR/5jv+p JxPZFEjILdIIIeNf7HJPNZZTsNOCxxvzf/g191hwnIJgCxEzjAc7j5aduCtN A+/q7F95ZPzrXmtZKzUagpvFZrG+Oyl7sHDhURqyOibf/ybvE/hnD/u1GzT0 t5+JxPswvVq6g5GpNJxNE3DG/AvipgxetRB9XySNkO/dVSMjvp2bAYW5/lrs zxXmSjwivpyB7xvLaxDvTFbE7LIwZuCuu5QIxjeXU1km/D4MlJa7VOF9qSqZ qZnH4QxIvT6Xoor1DNEUzX3FDFxYwKOA/QbHBPQUGocZsP63sAvxx86cA0z1 DAPzxcWtsN9AUeUZ65ciC+4axx/F7zEj86v8F/Gvs1HRrsgPcJS+DNXUJ/bJ EniMfNbgzYV+F4NI/t3kP4v1zVXCQr858igYzwgyO4X8tplMm9QEBTdq2O6L kfGHSk5dSWtoOKy8ogb5gv+GQ/S1j9Fgv3+vaj9Zz+uat07KbRp+13rfwvqn 4+gtl/Z2Gma2pHog3hKP3RZmtZCB2MbyfqzfjVooJx4wIfngDrndaI/Wb4wt 2Yk/tLItnpUivyd1ieFw6AsG8sT/6fqS8dT2jqtfRxmYnA5q18P6zYsPPzhV WGC95G0exv/gBt+1a3dSsNfayWsr1lvNS518fCi4u9Ys1pK8/9mYtnVBJRTY VFwaRL704VnL8fphCpoqEsvEyTj3joWq7so0VEazZSbjeTAJy8w5SPDfbtYV PI+Fja/TEu7RMDyYkol80k/PnCtt72j44Vz9APtT121JDmlYyoDb1/FBrMf2 6Zf/4ttG8NW2NWXo78+JRJ9sCGZAuOHuyeXk/f/pZcSyFZD8oDShD/Fe+s7a 0qYpBnLOex7B/q4jQlZG3PIsUDgsoof1nZeGiW0qhhRkChyPRf78msbmnCte BB8X+e1aT97f2HIyxqCQ5K9coqaIp28kVU/c6KdA8uTksynMN7Q1uSLXEvzL nXoP8XHUibTU43Y0eL2wlGlAf5h9z52maTh5VcwM+7n6XnaPf68n8U5P7AHe p0pyPscZu5jY56LT9ohfz3X2L23VI/j0s0cT1v+PnHU92B/IgGR99BT6B/nr lmkdvwg+6S4ZwPN//e7D0Z3qLBAL3TpojvEqqV5oiS7Jr29N5Fkif+JiIHLS n4Ith0faEA+qWycpTRP8d3L44v4Y9K96XSMcP0n87wULrP9ERHvExaym4WBe /b0XZDxByaXgjxMN65wjtyJe+9qp1h+QQIPglbvD38j4zJrLK2s/0NDiXxGB 57VeM7RrJxcD3hfuXBJEvu3B7WZ9IwYq2/oAz2dQceaFvCsM+MaWLcf8obeo 3W/HMwa0eBe8Qr4uL9p4b9kQA7f4rOWwXth4wL18ah0LJozcLdH/fQ16sl59 G/Ff6tGtmD9xn0q/nRhM/JVm6E1d8v75agv0ZQrI71896Yn9fezqpu435Qne 0BZSQrwbKrXI9t5dGpIky27j98iM7Zyc7qAh8y3nYAHR3+3baei+iAF6ZZQu 8rvsHSe8rM1IPiGtLY75bCfz0XbCn4HPHa8z0d5OToa4JJaRfHm5ngjaW9/G ZeKffzJQPNebh/mkoFLZiPwGkj8eCxBGPvy63TwdDz8KwjvsAfnYJ203zwyM UFB//EKqDJGbtpx/8uEQDeVqe6vRX3qZ3WlubCb42HRlLd4flfJ6/EXOkKzf m7oJ73fO9K/wKA8l+GdCKQzP99iMPpdMIYnH2ny9eL4HUzlMGv4wUL+9+YY+ 1p+KejnYCH600054j3g7mffqJSUjChZszG9Q+//5uhhxyZsCJdOITqwXdZ35 3nX4GfFva0ubTpDxRN5F554MUjDEWlbEh+8Pqyh/RfL99S3kEf+Z2d18GH2A BrfHJnc/4/kjmfhtFg1KKlpZdYiPdvNVZS1hwGtU3xDrPcMGM0c7ggje2Bjz Be372Ei0WusEwXd6p30wX/oo4NqqCiTfvaewUxf9z7mQ0SOBFIildO7ZT9af S9+kOZZDgRlbmasfGa9KXe0m9YuCVbJiL7DewquzSD9NhuSvHa9TM8i47Uqb Zyucabi1zOIv4icJEW+JxJs0bLsXca6FjAfNuR4vbyV4wJR9BOvdNbaVtno8 xN9YhXNx4HnrDKk8sJOB5lGxeqxfv/c6M36ihIHuzQtC0H5D2dn9R5VYkJB0 NBvjhdOZO4PTJF5IxClzY7yw1P3YqCtFwbwjmm+xHhqQ47Pwv/UUzE/tO4D1 7lsyKvQf8nslv2+7p4X82TGrlC4LCmac+0qw/nZS8sZhb0cKKrcuXyCPfEbL Dy+7sxQ0hims7yb6RK6Hh8tdwvsWDw4g/uQ8Jqupd52C3TeLxLBecO6wZMP8 JAryOzW+Yn8Ex+EDTjlPSDy3mY1D/x14KNs8rZICce7idxhvelXPPglopmB0 3Ipfi6y30nP3a/4vFCRdpg6lIr4vNNzUR/b7aLxqD+LXq2yBqanzyf5ysH/F 9XoPF2U+EaIhatcidezvyBuwSHSVpaFCXN8T+8EfeipeW7SRhv26vU+/Ejl8 3orWqe00uFQlc+N6V6/vlqjbQ4NTk+4OxE93dUJnBvD+9mzp8Ajir0XLq/LP 02B18PA+rI8294xGnwij4fhHoWHs7zhZ0JHhcosGuakfwthPM2i3UX9HOg3O S79PoX/adi4zquspDeJdWdsVyXphUVuUS2pomO/9WQvr/SMP+Bsut9GQzlyT wfPn2POZ++YA8R9lzw14MP/SWaJk85eGR+IjSa+IPkcmxJyNl/ivMgVfvP9h P8df+1OMgff/xTpgfQJUOYterWVAh+/4QQ28n/FBwsFCm4G/JUrLAM+jj9F+ 6V3k/Kp7yuH5PiVTaN29n+A9vY6rvPh7G7akfnEl8a0wJu4b4mmj9ade+xJ8 tFPDAeslGhpbh1wiCR6S5tmM8fym9LFSU4oBY625YDm8jyjSHCuRwcCG1guV eH/h4WrdOY3nDERoxx1EPJpnxbV3tp7kTw2P+cfw/km40KPMLgbuBVot+Ef0 zZZq2KSNMGCnMWW3HeWqqgtBswzkpkqtcyRyG3jtFuJngdS8jR2S5HnqmXbg yEoWNCxRlsT8OniTweMcZZKvXlh8CM9H6IYk/wByPuQk/b8jn2xS97VWVJ6C 9PL3j/B+Dn10TNhXi4I2u/752G8pqv4dhom/Ej1+Yz2ejyPLsg6m21LwR2Kj xS7c/wl75eFjFIy1vLuO99PDuCY7dC9QsPzQA8GdeB91cGYuN5yCw5F1htOI lw/qvEy6Q0GzsutGXC8x3/t360Pi7zzfBWL9yrpz1V3lYgrsY17cQvymrlkg FV9HgRdPJoP3Q76mit/Z1kEBv7P/uznyvMESl0q/IZIvSw8tWYr1tiy6rnKa gksr6ypayHpbJPV3KvHRMHtettyPzP8kJXV8yQqCdwbc6jB/E5z/59cmJWKv Uo9f4X0ixQK9iWAdcp7mJ37A+yCn6bMfPpnS8DAidvEIef7GniWKdg40OORv XdFH9P9iDa62PE2DZEiZG/qnz69fhEQH0FBM3/2A9y2fVLEdHIqh4a6u0Rvk KzInlZbZJtKgkaEYinjdZ7Ni5eJsGvjrQ5rw/vF/PgKS5mU02CYE/fyI92dG uvfRjTRUTVZzYv1+rdqKhfw95HxYW2Viv0g/T7z9n580dNUFymA/nXb5AjEF dgZeQnkT9sOfMf5m6itI4te7xzcnyHqNC7IdO1eT+G/A25eK/Rutu1yubCD2 zzdhi/cXeu/XryjRZ6D3dHMb8k3D97VzZy0Z0M9s+4h8b6eHcKmTEwMcKy5P +CDf4d3xoNWDgT9BD/ywn7b7uvuVG5cZONYuXYf1I5+0UZGuOIKXbaJz7xFZ Z8wmeEMyA6FjIzeQb+3jUT72MI/kb+PVn5CvrsjXGaZeMdBRLDyK/WAq+kad zR8Y2GJqrXUB+yNZZfpKfQzcrvbiiyT62FRlriRMMrBGSOMq1o/MWm3LjThZ 8NcvQeYJkU28PR5eFmHBkZF/pxjyvIfpBff6NSzY+sLhD/6/i8Bfw9mbNFkg ef5NjQ7yW9FdlWXkfCwcX9GCfPLVyPxrm9Qp4BpsL0V7sc1YODpO8NCdv9W2 iIdm9C6xV1pTwNg8z8D7bs4RF4yeHKFgoV/DzyTyfMfIWQVTTwr4nqpEY/3P WrfypVsIBZTDkr0aGC/5THp+pFJQ2900jf1kiiy9uVGCpzRY4zqIf/ebqBXS 1RQcCKLicD9VDTqrtn8n/r/R4QnWM7jV3dk/TFGwliPrOfJLn8uHF/aK0lCd lj1mSeY7Tcq8tlSg4YKPDhvm34PCBfrGm2iQEl67AP2X4DlVmaX7aZjuCfuG 9yOqTxUuXulKQ8NIkkwTkQ2svScfRtIgreeje4LMv9rC0XuQosEy9eH/+82e 1GUHrcug4f3Qy1XoD+J0+F9mvCH5ZXtu123yfNRIwnBNJw1tt232YH1/W0Ck NMzScO3MhkKMh/0e+Q06/AykfuD+i3j8RlC30PeVDEgXvWrD+xSnt0zohOoS +7SZn4/3k2uulnMuMWfg15hA7lXUL82X3nWazDd9+xTt+e0PC9/sAAZ63H27 kE9uOyV66X4MGR9Zcwrfn+0a20WnbAZsJit34ffXGH4+cbycAVXbFL7TyDfG D07+6CH2Fqf2rhTrd96PTzPjxD6T2gzQvta8jaGPsrOg6630PbyPyMWx/0/X ahY4HXKyVEW8LSKaNUHw54iCA/9eIj/WW3e3ZAvBx9YqS53I7/tYXHH9mwkF k3uabBzw+zqC0Bo3Cvx1ee5jvN0g5XNV5SIFOR31Y8gPNNzQ2Pw3mgL2Badp vH+icTCFqyKTgnKfoV78/xJ+yzk03Uop0PVWHI5F/9wztkium4KDu2/KIP7d 2/2zNHeUgqi+l4eQP7i2rjb+yRwFBgp5W7GftDPAqgpW0XB+49t7iD/KF9ev WKVKw6G3G+ywP+HQ0F3rpt00aM24myMfK6H5Uy3pMA1fi36zY34i+U5CI9SD Bp7dq4IwX1i1Kbx6XTwNcS4haxHPN4rYmFgk01Cq/2Av1q8t/bf2h72k4XKF Xzbed3vAyhmNfk9DqnyPNfLJNeeTFay+0cCao6Iwv1KZHyggyMnAtw6eCyvQ P64Uri8UIf5N5vMw3j/rfXDqxXENBsx/fnDgIvP38KT++0nw+qpTtr3ojwWe 5h4c3svAyaQ+VeRr7BsePnp3noF98zMcMZ6OaMYn+IUxEO/fv0yGyDEtb/tk 0hlwSj6vg3zu68t2Vj8Jvjfw1m7G+q9ZwPPet7UMfBx8+gz7a6we3rh6cpCB bZ/1/PD+QtDAncSov8Re42NXYD2PU2h8b7EYCwIHZ5Lx/lT3jVtDJSQfCCza 14P8pn9j+ZOLm1lQaHxvVhS/V7GPcw/xP4GrS3bi+t79Kwwn9cn5DswtVCb7 F9K73sLag4IrrmM/52F+eWxN2s7LFNjlKmzDeHsr0CynMY/g3apf8Zg/yHXe MFr7jYKMtr23cX/XeHXSXRMUOB491ydM5i8c0954UI6GNN+pArQni8tbpUZt aEiEP1PJZL7qXklOjuM06D2SkMP+CT/DM9VOd2hoXiKiiP07i47KXshDPlmb +9NljLcmlgdSP9KQUeCai/3RMuErFkvyMTBj1NCO8WcjD4+Z6xYGdpgXb8B8 qIAjREXMlOTbUidM0V/sEC879/wiA+I9mR/we/M3H+eCTJLfnp++j/2JZ7j8 fSxKGTBp7byP/KeuhPuX+2MET2XvkNfBesPB11v6pFig6aPvLknG2dOVMptV WHDFZowD+euUpui2u9rkfEW/bgxC/mfq/UD/TgoMc0M3GBG5c6lWvqYvBdY+ 365gf8gJ3sWzbzIoeN2WZIj3ifr/Cg6YPqfAXCNb4iKRTb0ztt76QUHFwiON 6N/tG4uWKUjS4Lm/W/87GT/O8+WK0noahOvuyCKesjWcpxLgSOI79XEI/x/S wNy2uIXXaUj4xZvNQ97/RWiFqvV9GmJEZbUQD0lX1yQnNNHA2fi8tTIK+WX9 hBUcDFhNFv9Efk1d/eKiO0IM3OQVnEY+T7ylaFHrNgYOthwTRD4qXbry4XtP Btx77x/D+9ouR+fHhIcwkJF5IAPrM21VL7vqCwgelt/vgPz8UPKjfpN+BnKM Vz7F+r1+9EGhWOSTY2UKcH8VxrnXv5Jnweb7N9zRv80eas2x28SC9Mu9HxSJ rHXmz81RQwr2JHwOQXtVnc5lNzxPwYeeokxNsj/uQo6918JIPKwQ/ox8Vdlz FdPFRcQ/dfvdRP5A++Gq7YcG8H4DrzEbGR/8yeXy5g/Jx/R57+J+Fc/wHzRc R4Pff0P2GM/eH1klr2lPg/8l7VzspzwQtnu5lhsNiz5aSeF9Wcb59owdQ8MG o2Rn5JNFRab4UxpIfnxw6T/sz/l4rd136BMN3F0rt2A/SYaD6VV7AQa+H3P+ ivHowekepXvAQIVryx6074+is51cuxlo1Xzsj3ymTVnPpaRLBN/v+h2E+fS4 yc3x0CcEj6wacEc+b6bx35nLlQzEbNYoO0Tksvf907d/M/DJaHcx8knP0wfy P8iwwC2mLBrzEbYQ9uxlG1mQWPv0BtbT8jNqDnTpEvsz+KSO9Y5nAdmbe80o YIvesxfvE4cplrgoBFBQpGehi3wTW97mJU+zKTgxOMHgfWcBrYngqHIK+tZ6 PcV8/KChpu7bnxTwOk/lYjzYv/7HOVtpGnw4HHSfkvHlIk+fCKnRcLLIfQPG g09yPZrVR2jY2h5siffj9rnXT++6QcOdwfkh3WT8c+qQs0kqse+Uxzl432e9 9x3t0BYalhdNuyM/pSjzPJKTm4EuwZnE/98X5nkc1SrKQP77bHX8fxAxW67/ 4DNmQGimfDPyVQIXrmc0XGCg3bYnEe/7evLKUqfDif8uyB/B+kkJjNcIFTNw nGmSx/0vzrqkHjXMwMNclzvY31KxvUXxygwDKWnPH6KcsFk+PU+RBU1/Y9Qw /1ltWfv0J94X/+YYjPzAFc60n1NbKegSM+jaQN5/zT8b0U1BFGxI7MvaTfbH 7Oce3vJcCj7au5afRj7/ZuxQz2+Sbzgs4sP/t9M9/OrE0TXk997/NYH/L6Sv 1nLelAsNddHz8gcw/5+VfXb0Ng2GPeFR+P+ZRHyzhRPaCX7P+huJ57kibnfW 4oUMeCY8XYp8a0ap86uVyCdXCKpjPWj+k/M/K/0Y4H3fKI/9KIuEP5UYvCDx a1f8LPJNK09Zr0gZZaDpVXg79oO+PFP4uGI9C1btKJbDeMwt4pAwaEyBdKLB cT3Ea4tuGm32oeDy/MP8+PsYVzF93RIKgv+N8XmS8ZqX4UERwxRslO1XR75c h/PUCzVlkt/HzNlgf9F/pjzKbgdpOPqSUxvv2xXoesvsvUfDnghNc/x/bZ/3 WwfcfkdD7I6l3ognm3RzHkcsJflGy+p8vC8ZUFKZUGvAwAFh30vY3yk982zh tWAGXn80qMX7KQ7H/qwuySf4XiOMcUf+rXurWdwU878arjycqvULd5NIpkw3 RAglU8ZQ6QslQlJCRYYmVwllqJuTKUQqQyh770NFv9NAkwwloTKnGy7imlIR IWOnm9y1en75z7Ofh2/vb633fddIYvZWFGI/8aulZfbVy9nkbHCDJPbzbz4f Yf5lI0W8urLlMZ88f1Is1SoI8JjSddBIwPkPo5zZArD3Y2clUE/nT/04s72f IvmiSg8w33eBeznFZiXEXwr18ZhPPn5YTVVlN7wPp/E4ziulym8dcaVp8i5u ShLzl39zIgb+V0+Tbqmew2iv1t7hWrYiDHHQvuSIeCG4czA/eT1DSrli0diP Ku50+QcnDOw/5foa1O+ZqrUG1DhD1N6IS2C+rdw2IW++PpuMKdsRzE/pTJ34 XreOIv53hSocMZ+hKvuvBosiq3adbkf/zjjrd+5JHkX+qq9fnATP25MkTpeN QjxQHuaA+eQrTpm0jRJNJi4Vm5ehPtQeMMj3oonKeiMv1Gsljrd61lwCfvKk VqMeG1qoKhnXDP497+lR9NfcZHk7QT6GvLt58JIE4pkSFThryZDCLloe31cn q2NxUCzEdzN86djvbNGrKsxTzJCytdkRmI/j0zzncWqQIdVXB5Yg35h4d1cX qrNJuNXBYcTDQzUpVybMKaKx8IAh3pdF44TBniiKtCbwLdsA5+8VsXTuzqfI rGiIONYXV4/nzTqvoMmXU11FmE+OOl/c5JEB9rWheBrvY5/cxPWCdpoE1d5j 4z6zaNaAr5YQ6AO5769Rfz6zupYhaQd6o1QqKAWex0fxf33EYojGtgcHcP6r kStn5PqMIan9ZfY47+hWc4GT+QX4c89ra7Q3s66ruX06bHKSP/5f1NN8Mm2K +qcocjTs1GnMh/6l3jAnZxj85z3djfnPYlOuTqIHTVRZLdpoXwf01tUkNkI8 5mCghPmswpG8M30bGTIrERqLfHPr1RaxyGiG5HlcDkA8dFC5mN5VwJAdsmGy 6N+ea0LfnucyhO3sGYn9ilHP7YXK1NigxysFUT+tcPAb+mxJkSMi+88hfu35 zfGoWQhFSstZGfg9BWzVJuSLKaJYrf8C+wtKXS3mHf1EkRPNkT4C8PzjbKQa 0aCJmI2MP+Y7DV2lV1q50qSj9Gl6J/z9nNx3C3axaRIb0NKDek94h/SwzyKG 2Ecb5eD3zVBbyUtHgL3cMX2A/NcdMb88bZIhmofcjdG+jb1+L/28HuLb+9/8 CeKPrmuTShhFhjfrymI+/kDn/NR79yjCszwtFOujfVyXmY4xiiTV7Y7B/LwM n4nNPmWa2PPGpmO/PlFoM27bTxMipd44BuebPD8iuSeNJsNfBWRb4XlAn7B7 RAtNdn9+4YZ6l/Nwd/WcBQw53TqYyQvnUd8Zu1/GmiHH6oVMsN/EkF0SqfoE 3ke66CXa76iQX/RdTYjvkkN/5pPjaL9uLvAFe4JfEfni4iWfyhDgi5WOEfEG 8P+YylH7u+EU2bi77ekOrC9y2gyNgS9MHa2nArDes/yw2D7gi/7h75m4z8PK J/5MvwpNGu5xErA+5/c27MGHdJpUWdjexv7CiKQuf0Hgh9SbiWG4H2fRZZ/Z GAGGcA6KXcV5thV0i0jWFsBDT+s6nCdolxV2KylhSOKy23YYnyg3h2qaAP7f mynrQfy/EaXX9kgT9FDdpo9Y73y5TUizzw30O1+TM/KTkkXtzFzAZ6sUpfBp eB5eKWUtDnicwIq4g/GzKL+ejwTO81WOxWJ9xV7OUjoA8DbV3TsG8x9vPjx+ Ewz4ukmhcBzn47jBe/Ma1Giya9SIRjxN+sbp76TAviqafvafXfHNYL2AeD90 bmA44qW/0uRaTcDHIeG4EcTHi1ufOMgBPv7zUSwR7cfyWs3zXIiHpWJE0xD/ pI0j2SaAd38Wygsi3tnofdbXAHyr8dzlgfhW0+wzVxDwLCpkEy/imbJUVlEI 4NePB+bX8b7n65WtOlnEkHkLVeow/yoY9uStCeBTSVHLHMQnPxcXv0DAp7Vn Jc2xf8e0qibKGfBofWQRg/MQWf6BMh0QLwm+lRTF+kvYH5KveiEe2u6lO4T6 8u9IntIciHdCPPW0sX9mYOs+QxPAm7bgpN+wf8NuPOylIuALT2w/g/XRq+aH tPYAvggZvqNwHmEsNXYwH+IPmaXPH+I+WJE36xSXAr64WKkIYD9inNnMKn7A lwnL8sdo/xYzEQXigC8fWnrZaC+feh9WuwK+mJr1jaJ+kAha+Xgn4Anrlq8r 7udZ1aNf7gt44cvj5LgK81W8dxTSQH8H89pwEW+3sawsKkBfJ/TWmiLeXo0z 5WkH/TzU+IWF/UNuLnqmfaCPw98qsLHfgjtxxlwB/H+DsigL/f/1renOxeD/ 3nfCu1DfUnmCzA3Qp8muNq6Yz1DKrJLbCf79aNy5AecdhJX/MbIHf44qjiGI l/a5O2zngf9KtNQvxPtztUrgJIM+dJq+0on3923EKYcG/bdm9OnP/QXlyjZp uuCv3ATxePTXsOBe2WCIlycOd6fi+4Uo1T7rA/3lfmFuAdbD9gmOa26BeFC1 Z6ce3jeZLTniB/HKySRjebzvJUEPT8QUUuRr6OFM1AsqfzadqAZ9YPi5oRbt +YrZxGQH6IG+qtF05J/vXgc7m4D/tTJDg9Ce8+PXPVOFeEBS8fdy/B53Z9oW y4LeP2HXXIffI4Djo3ML+Lzmj9YStGd6KNttM+hxM9YiA7TnXPX3hqagtwvc W/nRnoXMupfzg562fWmbgt+jTDtNJ3oz4EGa9jbk47DEc4PxwL8fk5qmfu7T cJhXZAh693LWDAf9333N6+fHLCgymcibjP4a61ShfugRRRK09cfx/eqPf+pr Bn59z0Q/xHgq9v7e9m7g1xjvtJ/1c6MTDfKPgE+XJa4txfvWLLpdpHeaIf1S G3mxHuubxZxbOsaQBdI+GogPS2g15/vAj0LB7/oR31POuHdrjFAk843Ndrzv TyaTujKe4D8xJZYYT8R4T3eINNFktUysG9b/Yr7f3OCziSHuuXxtWI853zQZ eKiQIQ3ZhulYn7+bkl2ZA3w2xZP0DfeNnQp/KlwC/FXQHD6O/vjMbpYeB37i zBhxsd65zu3VS+lIhjwe2K6E+DLqIpktNQXn1xqqQnypzL8jcB34yD36YAjO l93YPtjhNQ7xVZZIB/qb35JmE88DcL4fhQJYv0yWqQ6Y00qTr7ZVPnjeb56R ilnAJ97lR+ww3xRgt8wjD/gk42a3Lt6H3HRyoJYWm1htrLiG9rnW/PnEDPCJ mJ/DCO7L/bVfes7/f37t0/31+3+tuPQM "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl2Af8V2Mbx/F/W9k0pa1SNCXtRNGOtq1o79K0ilIooZBKohSSvbP3lhVK VmRkZCSiPO+v5/Vyu6/P53sdv3Puzjn3SbWBY3qOLlxQUFDIuL3Y/+fVxf5f H6VeZf6kSEFBO/NkjVPVnxYtKJiosRqugefgV/XW4z42NvHHcoO4G4y/89/k 7+D34xvj83BVXN3xs7lXuK64O34AHyn/yNjItcXnygeoz5G/gk+W3aou4bx2 q/+Vnctfr+8JvhrflBtiboZvku2SXYRn4x/wKsd1zbXq2xc3kt+GN8mPNU/i zzdPwZvlE/TPxffiMuYq8rPM1fBl8pcd/6K6LtdF1k19P3+E465T71J/mDWS tVGfo/9s9UDZy/gk2T/Gnlwnvk5+tPoY+VL8V85PvprbBzfE43FlXFXPLO4l ri63IevHt+YGcguNP42V/Cp+b75Bzteow31gfMi34gdwPfDfxu6cH7eA22ms 4G7jSnH18UT1ZL/9CR4nq4Sr4Jn4BfkL6jrWozPfVX0ff7i+heq/1O+rT5Zv kLfEZztmGX5b3sR8Fn+eeQB+Sd5d/yx8Cy5u3oX7m//RN0B+reMX4HXyquYm /ODcC3iJ/A/5Zept6lsdu1JeUl0v96R6kmwTHiu7R13asYfyldWX8s/r64S7 4HtxbX3vZf24FvgseTf8V9aPO5u7htth3MKt4PbK/Y2fM2px7xrv8835M7mr jd+N5bnH+RK5h/AYXBFX8tuXcM9yNbl3cg58M+4M7sz8rp4XcVfZn8au3Kt4 vvxxWZU839zR6sX8b/ws9ffqm/V3yRrLi+O6uW/wRnlb8wR+mnki3igfrf9K fDc+2HyI/MysG54hf8bxN+Ln8eHmjvJRuSfwPfLDHL9A/ad6fdYj97z6dMed kfOWvYC7yHZmbfPfx1fJG6ubyG/Ev+bekS/niuE6eBSugCvqmc49zdXg3s66 8U2507h5xi/GTfzNfNHcp/gpozr3lrE+68WfynXGf2RtuTO4udx2Yym3jCuS eyPPZ+5fv/0xHilbqz7ItZfnD1FfzD+Ze0Fdmz+R76S+m6+m/1r1TvWb6pPy XOR68Sk5V/yW/Cjz6fwE85n4eXkn/TPxclzMvAP3M+/Ud7r8Ssdfix+TVzY3 4gflnsCL5D/LZ6q/Uy9x7E3ywupa/Lj8luwjPEJWDlfAF+En5Cfgjngtrip/ I+vHHYX7yzvi37N+3GncFdxPxmJuKVeIq4nXGVW41403+cZ8P+5y48fcU/yS bF65h0zDcVlc3m9fyD3OVeZeyznwjbi+3Gn5M9PzHD5R9puxgzsVz5E/Kqtk LRrmN9U38D/wl6q/VS/S31m+WP4vVyPvRfyxuo15bPZJ83j8of5h+q/Ad+ED zWXy++Zy+AL5Y45fhJ/Ftcwd5CNzL+C75JUcf436j+yzWQ95Q3Ufx52aP0/Z s/iE3Lvqoo79NWssO4Wfra9Brl92Pd6WfVl+I7eHq46H4tK4LD5fz6Pcodwr WT++Adc7707je+N6fhG/O3stfsSoyL1svMrX19+L64B/yRpz/blZ3HfGddwN 3D95T+fdph6n3qBniOxgXAZPww/L2+MT8Bp8iPxq9Y7sd+oervcVeT3cM88g flPe2HwKP958Gn5G3l7/pXgZLmLejvtmvfT1k890/DX4Efmh5vr5rsi9gK+T fyu/RP2NeqFjO8mu1/N33qmyj8ytuXxUjVV/oG+wvjXqA/iD+NLqqfxD+o/H HfCduIK+F7OG3JH5xkmOf84acn25S7lvssflm4LblecXP2iU514wXuKPyPdE ztXYmmc9ey7/V+5tPAgfiA/GU/Q+wJXjns858HW5Hlz/PBd6nsbHyX4ytnN9 8Az5w7KKrqte7hH1Qv5rfoZ6a/Y+/R3lC+R/Zk1lt+IP1a3Mo/gp5jH4/Xzn 6b8c34n3Nx+Q+zvrhifL78+9i5/BNc3HyUeY2+M75GUdP1/9u/q5rIe8Tr4b HNcvz4PsKdwu7zR1Ycf+mDWW9ean6zsy969sAf4q+3Hew9zOXCs+B++PD8ST 9NzHleGezfrxh3PduIuNLcb8PL/8H/oPwfcapblnjOf42tmnuWPxD1ljrhd3 EfelcVXud26H4yvgkerR6vfybSfbDx+AJ+J75O3w8fh2fLD8KvVv2ftyjrJa 2Uv1vcE3cv198+yZ++MnZW31XYKX4kLmbbhP1klfT/mFWRP8UK7HfES+V3MP 4GvlX8gvxNPx13ie40/E8/X9zpWXbzC35EbkW0D9br479d2h3o/fl99ffR5/ d9YGH4dX44P0PZX142rizvI2+PusH3cydwH3uTE318/95thyeK1xIPek8TR/ WPZK7nzjM+NKfh7/q/6y+Gy8D94PT9B7F3cA90TOga/BdeT65P2h5wncWvad sY07CU+T180zLb8Gf5p7Q/1V9j59c2W/4DL5RnTtH6hbmIfzk80j8Tv5ttQ7 J39fwfua987+mbXC4+Vr8l7GT+PDzG3lw83t8Cr5/rk29a/qderusif1VM8+ 6NjXZQ253nnXqNfxrbLHqgv4b7PGsh78VKpO3jOyq/Hm7Mv5DuS2c6XzHYpL 4X3wOD13cvtxj2f9+GrZs7gpxifGnOyT/M/5jsR3GPtyjxnr+Kr6O3At8TdZ Y647N5nbZMzOu4P7Kd9YeFjeDer1+S6WlcR747H49twz+Fh8G94nfw7qX7L3 qbu53sflVbJn6F2CX5M3MPfKu93cBz8ub6F/Rr4H8L94K+6d9dLXDU/KOwA/ mOfXfDg/0FwXz5dvlF+k3qK+zLEnyObo+THfC7L3zc25ofnzVL+db2N9q9X7 8HvxpdRj+NX6W+O2eCXeW98jWUOuMj5e3hx/nTXkunITuY+NWdxs7ofsVXiV UYp72HiUr5Q9gDsv+1y+D/nL+G15V+e7CpfAJfFovbdxJbmHcg78oXnvcj3z rtXzGG4m+8rYynXBE+S1886WX4U/zLtE/WX2Pn0dXO8s+fd5T8iW4/fUzcxD +EnmYfgt/afmevAqvLe5ePayrBceJV+Z7xD8VL7hzK3kw8xt8Ar5Xrmf1dvV D2Yd5BXVxzruVb6+3pPzrlY/yh+Tbyr1HvWWrLGss3q8/lrZF2Tz8Ibsy/KZ 3Hd5lvEpuBgugUfqWcGV4B7I+vGH5L3MjTM+yP6a7xj+29wD2VON4tz9xoN8 Bf1tuKb4y6wx14kbm/vJmJ53PPdN1gYPVg9Vv6mnv6woLo5H4FvyzOHW+FZc LM+p+ufsfTlHWfm89/QtzreYrJ75JH6MuSd+RH603ul4Ed6dfQL3wlv0dcRj stfhB7JHmGvyA8y18Vz5e/IL1F+oL3Zse9kMPVu5UrJ3zcdwg7gh6jf09dN3 W3K+CF9MPZxfrr8FboVvwUX13Zv148rlvSdvgj/P+nEncqPzG3lWcx3c144t iW82inD3GPfxZfW25EYZ7+T+5S/mv9K/F+6LC+OieJjeZVxh7u6cA18m7xSu R/YyPQ/jo2SfGV9wJ+CR8vuzp7muw7Knq6/k12cvU3+ePVD/8fKL5Fu4EjlX /I66qflcfqJ5MH5df588z3hlrstcKN9LWTc8VH6T4xdmz8DVzc1zz5hb4uXy Qnn/qn9Sr816yEurmzvuZf5Ivd2zJ6of4hvruUH9T/bErLWsg3qE/hrZ22VX 4LdzTfILuS+54rh3oSyaf/AQPUth/uflXVnHfNfm3UI1wpuzdlx7bjj3ljGN u4D7osh/W1vBEuNfYw2/lj8ozzNuiD8xPs03FTeMe9OYyp3PfV7kv79+Fpyj HqR+DfSS/WsUwoPxYnkzeQt8M96TvU79Y/bEnHO+JdVN+Zf4I5xQt3zjmXvg B2UNcg/l7xr4b7wJ98Sb812Ehzp2Hr4v3y3m6vzZuTfw5fI38uzgafgzPMXx x4X1fcZli1/vX0dzA7lz1a/q66lvRe5bfk/WXD2Iv1F5jL7meBnenf1avibf onnWcX28MevHteOG5BvDmMxN5T4t8t8fYcEi4x/jdv7OfPfpbZJ3kvGaMYmf wm/W/z9UnMTC "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl2GXYlkUXheGXEKRDuru7u7tbQFoQBOkGKaVTAZVuRAFFBWxQEEVMFBVp g1JSUQyM79yfPzaz1rX2HE/NPTMv+fsN7zAsUUJCwtN3JSTEeCZJQsKExAkJ 45gP+AdUJZUuaULCdvwZ/C9+hWITzuqfSIzHP+QHqvp6T2MnsTKqMpYe24E9 y//Nr+Orm1sVW8kP4BP4f+R3ey+b6Q70Ebw/3U9fZfxokv+3JZzzzySsATZB 3zl9k7CH+Y/k8/hCfB++gL4sxhf5RcZB8gbyM3gH/pT5d/gn5dP4svwevi0/ jG+tr6TxPb6KuRlkO7Ht+q7Rc+N94+vpGnQ12ar47vhE/L/6Osb3yQ/g75fH x/2GnkxPlH3MP6gaCs5ip7FyqiqWEXsO28H/y69W3k7Ct/F58Un4J/xg1Ujv OewMVl5Vw+7Bnsd2xg+s1sTvhCVO8t+P2AlLRn7HT+En85/y8/UUxgpiQ/jG /Df02VgD9FOyCvReuh3dRlbKGztMV9efCd+FPafnOj0PT0RvoGvSg/RWlxcw 7uOXG9eaN0iehO8Wa1KewriFn23sHOtM/gA/lu8vr2L8jF9vTG7+9/RUvCH/ sP5v9E/GjsoW0EXoQvKs8pfoh/Am+LfYOf0V1ct8e1lbrIY8M/8C/bwssVoX vxeWVE9ivEusW+x8rCF+Cv8ZP1TVVFn0vojvwpOo9VgKdUH/dHwq9jk/TDXV +x32DVZJ1cKyYi9hL/BJ1Ua+lrk1sA3x2/N3xbPBp/S5ttL36vsIH0gPwKvi n9Mp9V80zsAaYdP0favvYeyYbCFdlO4rK6wnm3E3v9g4XN5M/j3ekf82nmd+ RXwOvjL/Ct+BH86301fa+D6/yljb/Gzy3fiLem/Q82V30Zvo2nRN2UZ9Q/hk fFK+azwj/CD+AT6V/BL9CD1d9gU/QjXXcx77Dqui6mDZsT3YS7HO43Ww1Oqy +Y/iM7Av+ZGqrsqhfy++G0+uNmMPYcnjfeLdsDTYD/xM/hH+K36RnmJYEWwU 34K/QH8v/4deGfsd/SrdkW4vK+M7OULX058Tfxnbo+cmvQC/O16frkM/qLeW vKBxP/9EPBexxuR38935ZPHdGJ/m5xi7x94gf5Afxw+UVzMe4zcY05r/Iz0L b8w/qv87/VOw47LFdHG6qHw035K/SJ+PvUW9xneKvRqrL8/Fv0LvlaVQW2NN Yyn0JMfvw9JhV+J55mfyX/NjYk9WufW+ir+Mp1RPx9mhrsbnwWdhJ/ixqpXe S9gFrLpqiOXBXsNe4VOpLXxdc2tj2+TD+ZTxvfKpfd5tdI/Y7/DBsSfh1fEv 6Az6rxnnYk2w2fq+1zcVOylbQpeIs0lWTE924x5+iXGcvLX8cuyv/MXYu/lV 8dzxNfjX+c78CL6jvrLGD/jVxkbm55W/jrfmX9X/E79Qnjq+V7oeXSfO5Fj7 fCo+Bd9TfpQfEmuGzyi/Ts+j58hO8eNVGz0/YJewmqoxlg97A3st1rh6Ns4P dcP8+fhc7DQ/IfZMlV//m/jreFq1PZ4jLHXsM3gvLBN2k1/Az+PP8I/pKYkV j/OPb8v/SF9O9N/htlpWi34D70J3kpXDP6SbaimA78PaYG/o+5lfJEsXa4au Tw+W1dVTyPgW/6Rxh7mj5Gn4+/hU8jTGZ+J3NvaOfVv+ED+eHxz7v/FLfqMx s/k/0Qvx+XrP653Gn8Ufp0vRJeJM5tvxV+gf9NVWb/L3yjtjzeQF+f30m7L0 aic2GksbvzHeB8uC/Rz3Fn5B3HP4ybHPqUJ638L34RnUc3FOqFuxV+ML4+zj H1bt9V7Ffow9UbXACmNvY/v5jGob3yD2ojjn4pnk0/Fp+LQ++7NxJsQ5hQ+l h+A18a/obPp/ibWPNcUW6bugb3rcKeKckC/lS8f9hy+pL4dxL/+YcYq8g/wa 3pm/Yn4i45rY4+N35PfJu/Ij+S76ysddj29pbhHZAewtfbfoxfg99DN0Q7p+ nL2xb/Dp+bR8P/kxfljcAeL5lf8a74deHPsgP1V11HMdu4rVU62wothB7O1Y 3+qFODfUbfMfx5fEXsFPi31AFdP/Dn4Az6xexMZhGWLN4vdjObHf+KX8Y7G2 +GV6ymCl4pzjO/E36GtxD4n7Unw2ej/eLc78eCb0FecP0Qdlv9BLZFnieaYb xW9nbgN5YePb/FNxF4p9QZ4x9kQ+vTydcXvsHXHXinNWPpyfwA+V1zIe5zcZ c5n/O70s1jf/uP6L+mdgF2TL6bJ0aXlO+cuxF+Kd8ZvYdf0N1Ft8d1lXrK28 BP8u/Y4sq9od+w92T+zR+AAsN/ZH3CH5pfG6/CPxDKqSet/DD+HZ1J44J9Sf cYbiy7BL/KOqi96fsBtxnqj2WCnsMPYunz32OL6xuQ3jnJNP5DPxGfn0scfE HSXuFPgIehheG/+azqv/TuxFWHNseby2vkewy7In6HJ0f1kZPbmMr8SaMs6U 3yv/Oe6b/M24SxrXxT0mzgz+bfl9/Ci+m74Kxo/5NcYO5peWvx/fa/w9o/9X /jF5DnoH3YRuFOev3kl85niO+IFxx+FHxr2Ozyf/K9YN/YTsB36W6qrnFvZT nCeqI1YGO4IdjjUe98M4N9Tf5q/An8R+5GfH+lZl9X+Av4/nivtS7HlYFv2Z 8EFYAewffiX/FH+Ff1JPeaxsnHN8N/4X+md5Up93vawJfQDvEfel2Gv0leM/ pI/IbtOPy3LHfkw3jb3B3MbyIsYD8Z6Nr8W+Ks/K94xzQZ7BuDPOSeOD5h+X j+In8iPkdYwn+M3Ggub/S6/CW/Ar9F/W/yh2VfYUXYEuJ88d53+cT3h3/Ffs lv6m6iDfM86yWBPy8vxH9AeyPHHHwKZg2eL5xwdjhbD4A3Q1v5K/xs6LtaUq 4B/jH+J54/yNc0Ilwtfgq7Dr/Hx1H3Yb+wVrprpiFbFPsI/4fHEm8c3ie49z LvZTPjuflR8Sdz9+dOzp8f3KE/Nr6dWxpuiZshv4CroiPcB3UV6eJ36D2CuN C+Q95L/h9/K/mnuXcYN8prE5/468Fz+a76GvovETfm08J+ZXkn+Kt4vnRf9v /FJ5fvp5unncO+RF5QfpfbG34zni7Is7Fv5crJW4n+Jj4hmMfn1J+HX0GtlN fqHqif2O3Y6zWHXHKmNHsU9ifceeHudG/FT4enxt3AH5RfHdqyr4Z/ineMHY N7HpWE6vnR0fihWP6xS2gV8X9yR+JV9JT4U45/he/B/0b/KW6hDfO9Y11kNe lf+cPir7nV4mK0TvolvQQ332ZvJixnfimYwzxbwZ8lx8Lz6H/B7j83EPNMZ/ Op2Uj+Un8aPldY0n+S3GEuYnk2/EW8azG3sEP0t+S7aKrkxXlOeVvx53D7w3 /if2e5zT6l2+T7wHrKe8Gn+M/kxWOPaCOCew3Hpy4sOxklhybBO/Ic7PuK/G 96Sq41/gn+NF4vmL80HdjW/GN8aeGndB1Qe7g/2BtVa9sRrYl9gxvmjcG/iW Xrt5nG9xBvF5+Fx8Jp9rFz1C3yl8HD0GL60vBb+F3hR7Hz1bdhtfTVeJ88fc SrFPx/04zmTjUnlf+V94V/5Pc5MZN8pnGdvw78n7xuvEXVhfJeOn/DpjH/Nr yr/C28ffSPr/4JfLi8Wdhm5Ft5AXlx+iD5kzE88beyo+Ut9pfjw/li8jT8lv pTfHcxd3HtUP+xu7g7VVfbFa2HHsy1jX8dvGWaFS4U/jW2J9xj0j5qva+Nf4 V3iJ+GxxRmH5vHYefBRWDkuNbeO3xufh1/BV9VSOs42/n/+H/kveTh3m+8n7 xL1NXoc/QR+X/Uk/IStJv0S3jvuprITv4136cJxzeH66N5ZXltn4Ar8wngPz zsgn8JPj70h5PeMpfmvsfeankT+Dt4q/8/Vf5efIp8ZvKl/LV+MH8lX05Te+ GXcOWX/Zv9jf5iXHN+Ht6ffx++m+sv766vIn6a9lpeLOxbeRt4pzWT6HL8Dn 48fIK2BpsWf5bfydOMPUAFUPP4WfwEurI9hcrGDsr/hY7Cw/kR/P1/e+Tif5 7/+kK+r9Hwccw2U= "]]}}}], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"RP[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{1800., 0}, ImageSize->{350, 300}, Method->{"AxesInFront" -> True}, PlotLabel->FormBox[ StyleBox["\"S -> 8\"", Bold, Large, RGBColor[0, 0, 1], StripOnInput -> False], TraditionalForm], PlotRange->{{1800, 2000}, {0, 1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {1323., -157.5}, ImageScaled[{0.5, 0.5}], {350, 300}]}, {}}, ContentSelectable->True, ImageSize->{1524., 327.}, PlotRangePadding->{6, 5}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10001.}, CellChangeTimes->{{3.417799484165118*^9, 3.417799600467698*^9}, { 3.417799631027896*^9, 3.417799700481542*^9}, {3.417799783196345*^9, 3.417799864048886*^9}, {3.417799915821015*^9, 3.417799940125135*^9}, { 3.417838858134599*^9, 3.417838883255964*^9}}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztfXtsXFWa55163So/Ug6vcgJMkd1uTOiVPCxJisBIpWZm2hJi5SaBtiaa VgmhlacFwYHMbnaVbpU0QgqEgLWjaL3qZLYkEHHCEFlqhc7MqqEkktjbf6z9 BzOOVqNU+RU7LyiSQBfgmLvf69z7Vd2yXc47bIgcfL97znfO+b7f9zivm//w /N/89X/c/Pzf/OKF5x/oePX5LX/9ixe2PvCTnleBFPwjywptsyzrqxYLfv/a ssespKP+2+44lnWbcFMQ7oe/Qh+VLeuj8oubA3s/tUJb3z743PbS9lLg4HOB 7SUrePA5LGytri4Y2fr27t/s/s2uZ967y18yyiU3vA+8Rj46TgVqMLQri1mB 3b+xgszR0mXb4Ce8+zdPPrTp7Iad/C5Qi+cPvlej+WG9o3noRo7moautm1ti NM1oPH8MfwXRqKI/tgKjv7Yi0edbJ0s/L/18Vah1MlD6uRVcFaLSD/sLFmYd p/xxy9/6C9pYsPw/HWfmT1f9oHXSwvdh5MicrX8HZRp1GY+VpXmRHPdenLnP cbiRiMekstUffk/G8WC941h9I8ax+urr4yYfR6WRgCUHICsIwf8pDsFDwLzT 2JJykb2fjv6vmfs+/G30eX/BMP7+4uYXmt5bYzGfGtwaVSHL41VRjiT42p9g CY9LFa8f3vIjeLDOEay+ISN4+Crq4OYdQaUxtLzDBtvyziKe1iv44X/fdDb6 412vzFPQesAKlD+ug6NXsDZHEmH54+iPxe4Xd1Pfh8E8WO9gVt+4wTx81TVz KwyGDIfmKWh5jrP17UUze10QssfBx576xaazey/WyB655K5Xdv/da38iBWow bKosVpsfpfXDf/lay95PX2haLBH+fgzlh/UO5aEbNpSHrrZWbv6hkME46r86 1wJa4S+bx3zwuQ07HadqbgQ/y69XEe6N6xEC+gFe33ltXgbchiVoUwTXD6cs BsA1fJ9YePT40GRZx++3x+yx9ExyMj5uj8XH+9cVTliWDX+F0/vtsfaTqWlM RuwxK9j1ZmEO6BH4gTnA6CWsmJpum0pM8PsBqsp1t/XYY21T6RlTt32Q6oa5 buEE1k5MpKbbT1pBfN+30aubGkK+lpWc5Lrdm926TVg3v8IeS06mZxIT2OXk kRykS1Es0D7IFdum3IondKNYMTGBFfl9fDzfakndtqOVjfa8THVD8NOMdQsn hlZwl9umsFl7PL/e1O3cCTWs9pOGb6rfrRvlugMp7DIOlwpAIxa+hJ8gNmyJ NudVVJDZWDGsIb9H1e/Xgn4926pBd7Op/3+lUqPMDZbKTSppksrdrr8zISHg e7Cs3Fp7rO9CEENg/5ftJ+2x3o3idxrappKT7EBLc5mzaLCFOXR2UKvvUXts 4Cuq1XchOWmP9a+VWrG2qY5TplZq2h7r3EkeMow97N1gj418Y0lr6F7J4VC9 +Di2hn0vzmJr7ce8eug9B76ieqHcRXQ37GmgUtuUrtR21KuU3eI2FtrxBXZS xjV6KT7eedpU6zwNjq4ffWKEhdgDjc1comrZUnw88QlXC2G1ns8ktBRn26bs sZ4eVQ+9bXGW6uHYLGt4luodv4896UMLqqJKm8D75Qotk+BBDuPp/ZbVoF4E 8af3VYhZ/fy7goL0LPccyOlopOplCFtpP1aY083geMKHH8NQMrLSqmwpgJWG Z0EkE8OzNZsaWgkvJwdSuimSQWEOGzv8WKyqqVDHAXtsxzOW1VjVThCD7Y4N FSPyOcJ6hXmzmee1dYQ3RCo3qaQ9R/gDFkBmV3zcCqNkZi6h/xm9RFgd/BYc 33l6Eew6Y49t20K4DXbtTExgYa6Ajuf4/VQBU6e+C+QLItzMji/sse63qFbH fnJlUivxSdsxdpzBw63gKb/kZtIzwGGjJRXIjVGFfBl6aEmFgYRXAZ1pbi1X SPWnpqVCMF+GPGyS6f3rwMr+wOXRmfevo6zLtaz0DL06/i04hGNcZdsWrwq6 0IF7kB5oP0mUga/i4x0H2IjR6efLlrVGYYnyPRRGfByFacXJf7RiKmyPDX7L zyP34ltgnWDblrroW8LoHfFP7jmrBRtpP4Yld7yCD+HEBL7a1gOOCBmFMm/i c2YXlczswofkEXoAb2nFx1P99NC92XsTHliHnUtMgAtapkDx79UgUqpT+vd1 fvoV19VgbJvqOmNF8PfDfyCHTzrHIHn8W6Z3nEpMgFSJnpzMnMXAifTe8yQW omd/ivGKy6PsoDy61mBhDqccHv/sM1x+W49XHnN3U350juJbhNVObtktX/6O 6e0n246CILk8GNC2z5nedwHA/CiX73mZylM/y98lj0ggp/LZEpdHoJn+p/rt MTMuKj/IdAifYzu+4PJoXJBiEL3rTbLJtdUoTA0iPEmOhDoENgZiaIeeERXY Twig9Jx7DvknJiBBiWuTBqzia+xu5+mOU5BS4HOkCBPDrjNohMX7qUBysvM0 +orhWSwA1VgtMA2i16l93DyYID3jvAafuzcjDnXvp3yPrQok1CmbHZOnrM6d 5GJIOCPf0CDDysNQ+c7TiU9MefEwrnKzP2X6wD3k+GwGW/yT4/cxPb2//aQp j0IFMISVg7HZgyWPGDCIQ3LB1ruB6Zhegs+wq8HTfhKzRK8/AB6i962xx4a+ 5vIIncIJf3mUYlbG27eRkryIAU9qnzGWrjN+kARgogkJGs5bWSk8zPZBqEbP ne/Hxx2HckVSevfm+Hj5u57P4uOFOfQekc730XhQ7aOXiIBOcehrxFV+BRHQ fLd9ni2hsyYC4ip3EZXU9ygRENjd55DQcYAIBbK88neI3Tj7PewW5qVLxUpx lmWH3I2OExPkOAwm0BOGlCMg+tDXpGOiI9I7TllRxgTpmOg97Ahso4OunUwX RxDlIAU6PiHlX/bKIyYg2rnlwRFQ+bZj7YOmPMZmUx4xAcEupBwBlz/qle/k 4Oz2x5QfWkmYpvKoalNeHIdtHNbAz5guhr9OydU2euo97zhdZxITy4hIenIc VC4YFumOgYb+afBbIqSmEanY/8MJLnEUMYUCzq0hAvfjOKQcPW8RAQVVmivN oRkTgV2648THM7sYZQRzJKT3E2GA7NBxUvtS/YyyVkQZdjZ5pG7MAElrmZLt w5xyRI3lgyWTlJJHyINoLVP5vmc9bWotp9kjED0x0XbMlM+tIY8QdbW8hsuz 3Jgeh+mHy589AtFzF72Upm2K5nDM/5OO/aZ8L3sEX3kMhqZ88kjaLb/jGbIa oqNiDye4vLYaNM3kEaZLuF1H0kOc2DnqoeNga/kVVjPS0E8OfOU4KBHIqIjG jsBAgWmjcyg9x0F7zexiSCUmus85DrYpcMA8AZMHnK4RgWXrOG1HOxgOHW/g 4Byn41Rq3zLjuJCQOUtwsGyMhqU5x8HpbvF+bhxdVXHWcTBsQRRrJpzAqKbU L9q9bPvcCBAVB3E2aMy8NGfF2DxT+woyg0Mzh3lvTJknle9+iczcVx7NDYAU U4qj8hk22xgDKXnUlJecPeYmriku36XK46KCKX84heJnOtrr4VYu376PykdZ 0ZQPEB1zb9MfLA+qDXJo9IBU/i4+7pa/hxYpYmxQlP0GOTRSKK12LzbHFlZ9 n8CBcy3HwckJuONmE+IgHwywO8N1WKuJ2uNQLHQCdJNKAQIs344Dhs7ujOkd p8iNIv8I+zSESuITwg6qDQkY9gg7HHw1TiybEwrH2fY5SZ5oLHnHQbcB2mte SuhCAyLZ2eCyj2CJwhwuJVkNBg/giEiPiFpwCEi3wZD7uSxmY1yWXLvMNNC4 QXYxo9uO/UyHFG7clEddwQgCHILIGVD50hzplugj92Iy6JUHLAQKkruCM5Dy tP7klm8/yeVJQuuYjjmosRUsDyavsU/lez4j7ARUSKTyiAlIHl3sQ/lUNaZS /ekZ1ADlEj2Mn86dhFfBCem9yfA2dI0TxCD0EU9apPqJww7yE1wSHYopyY6P 6ZQj1UAgYgZiJdFxx6D7HNNRo0MrmV4gJ8h0cpgJxhM7QrGQR5nWfhLdPlsI JDhLwhhNwAhjiJH+tbxGCKlFg9EH7liQXveRzRLGcAQ7NhRO4GjB3hrE7idg XkNlcUvIlGW/Anx7NF+YQr/BZbEFUxZxkW/lxU1IP4jGmEM8YwpoNSINpxz5 FYUTiGVp3y4CXjCkYjmYQ1K57nMYvAonut8izLvlul8qnMAZOOCXyuE0Yni2 cAJX2AC7GkMR1kZ8HNK5YDUu2k9SSk1aSk56KJDAHeD0kgI90TsOkAwDbAMe OjTuUF4GHZJe+tAhATpgEhLwLC76INAHTPq6bYv4xQT54YCxGfCjTcZmQM5B toNtPUBrNHEKdBXk+JLZxf28HFThBCQxObQS5w9gQSjtCGp5xysYffsuEAG7 BIUeh5xoqgkJtN7Ug56n9zyVKM0lPkkeHflTyI1PUgmUUnYLymHHF1ICF3RH nmibSk1TCUxc+jYikg7/QVqJj6eGRu7FTTa3ldxzXW9i8uX14wjmyokJKoEx tHcDluj/kkowyNCVJSYeq0YJJjNg4yS1rjOkdZ80xSc0Ghs3qEKZGDS0TVGa FTCeGzyfD1WUTLf6UUWJ1FqDKrIsomPHIVq43sygCi0cIgDRs88Q+oOcJZDW qZ84n5Ndg2DyKNoi02XiS3RMuj069efRpcEFjTOMIMc/IEY8WhBCQ8e1Knyg 7RH8A34RtRMuf4cbDuSh6D16JfwDfZL3tAuLGRe9R0TgH0i1a7439WGs9L40 h6ilFSN6j2iQztF7nK7gH/Ai9B6jIP4BT+PDRi9nLFrXjSpjCSpdN5p4Ids7 bPkrmC4ZS9BYPkRRF0sgF6Jjv3o3sk5lhczVNcQHjSWxfMqgGhlLFBnZ8o90 vWnokkESvf0YTS0aTaZr6ID5o4a+Q2Gp+xxNOBsN9paOjUZ2jO0nez6zliEu jn+LQe/4t/gAU5S2KZAJvSjNYWZWmpMXqWmvRseptqmZS+4LkBa9GPkmPdN+ UmpkzqamwSTlBU4y5EX3ueQk6INeFGdT06np8nfCKjkJgFhfrXCebSgFrmQB SLrjKrBfFKgBIkbMxsSrRUHluhkg7NJDSoENBiDg0kPsukmBDSqEhSSEvWEU whMp5o9TJUPXANGKTQ2ScQcdmRvCHNkHEEmKl65w1vdK+oWkmN5PiYRPKsmj HuxIKhs86Ro6Lx4wHWeoIPUQuzY89MFS4emekUrnG4YuiQXR0zPk2hpUGhdS UmlQLj6k4N6gXHxIBfbGgjfzpn6iW8uv8Etd0r5G5eIfXXAuag40razGYnIS k0ZPKlnBkKwg+jDEKTPTk0c8DKW9TRzjBBqU1Iku6Q7ROw94UtdSEayHFIYa VEAJGWcIGHKlbrAugc/FupEuJsS5NX6sS+BrVIF1ic6nSqJhZWVhFSpjyg2H lZVRjzht9+NJkl8fntJqM4skJHS1+WaszKcBwVODCunuphh4mwZjDwb3Mtlu UN6G6Dhhym6pwH1Y2U/M4B5c75orlyhO6aHlsJJQTOk+rCREdEldwwpbbo/A 54eVxTUoGwgpf8xYn6Y1s5BrcfcYDXg2IKtTrIE3PRsQf8x89nka4HUqT9Jg A2Hlj2MFmVbDRDGsbClmbADkcBUk2rGfdEwt9HzmSUh8XlhZH9FxX8L0SKyP 6DJ5CCvri6lUJKyw5doAWF9Y+WafDWgJ8fTVj630EPnIsHihnYYuGjBI2Wfo eMTO0GFK7iJFNHAVJNp5gKzP3W4EbMVUrA+71icSym7xdK8ltENpAJM1mMjH lPV5knvGswGwvoiSUFTZQERJKGpswGwrtg962NLbpbLcFavWgEZKB+94iY3R IqnWgJaobGfm1oJMWhkduefg//T74dRAyvw+kMKJu5Uw5YEn0YdW5tcbemGu fx14sBWEyudGLxn60Mq+jbxbdjna06OU2BpTlu7TRtdOD2daGzJZDxsc9/RU aDuiYkJU2VtEWXpU2ZtsahOOo8rjRRSOo8reIqwlmkZGVcyJqJjg0zYuoBn0 4fy3Snt0xAlPKuFyHUj4ngKebXiWJjc7UfShLjpm0L+OHtqO4cPwLBXDyTBu BdAbRDYuvNIDpn7Q5Vfoof0YnW1bQXWGZ/EYQ2po6ZoMVY8Y4zt4mJjyMESX fCaqfLxPM5LnsP3wxDbKnsTsJAdS/TEVX41OjpiS+iCA1oksULsb9WAVUeXd IyoK+XQu2PTpXKKQq3OYtq6t1iEuYOGcGSRyd0G2UTHXRK9NBHQZePQDYDWH hDB6RzwW07GftB7G02fIAXImesa6OA0Ge8TywfwKPGCIh5jpNW5FYfX2Y1wc 1YzHeHgjtI40P6SGbysHZ5vhm61+Sc9tBQDeQn+PHFmUAYDr9iwuSUSjyvQj KlnwAQDVBNAXAHhHA2RWHq2GAarpsKhJQoynprV+05dE1AcDCYVE5x1La60r mQieLcQJGp4cJwXiEl/vecziU0NEwD6NfINg6t5MhNQ+7DwuMgx+e5fhga4A tyiZx1qMJ+jTMruIgOc0Zy6h8+hbQ4S2o8gDFzyGZ+8yuMFgkJhoOxpawvwj pMTAJxgmKYezlQe0VW5nM8a8ExuIPw0HczJDNpxtFe9so0bAarTaH/Dus4ED zXm9kx9bmC6zzYgbCTYyXeKdT10S923lV2wFB1vFZVt5hbVV8rGztCWDu0vU Jgrc7jjAJ41p/HNEi+DCNtLi46l9VAjtBrfjsbNdb3JFTu15Rx7cQAUz3LYH ZncWZJLUfpJXhhITZFtIt7GTiBbkCRPFCp50poP2CC/HbWtxabVK4HTVCj1k cT1K4iI6whkCmw82kpASXZZEbBMIs6/4vYhYoQ82SM/sqoCNrcIInzDkyblP rQIboqf20a6jrWAjh0zo4A7RZc2sCgaB1LS7UtvzMutIJjMBk1j2r2U6Jopm PR/DDhjCnYYz71PR1PII61Rz7n6LS2LUNvtOKENIDoguOzo+zuhlYCLJO2PH cIeR0cI7PY6DDol3vy8HGTLddTVnNC0pmHucBQybD4ceIAkSnRLrtR6SzHEZ SeXsagcku2Tu2VBz8ELiTkQhSQ5GUGIQUUiKqlQuYuKROe4Dmh40mpYUzFZx x1YJiQ/xknBrEQZNu2YHARJ3RNIdJv0wu424mg0IvpPlQ3uk7v5QTnCDV6Ic WQ0WB3qHib9m9VhW8pn/yxSPAsbxpfqZj96v0vzlAErAWKzhL+cSiL9M2QKX hxRtmzKlslWEdw96Gc0nJj2fI+vfPtvkU2ZMFx/FR2h46cs9UQqW5dO8IEuO DJHmI8ZCDbIkYdTHnaMsIUoYXWSZA1piAS6yzFEibQGynOFDit6rwVAIfEgD ySPewqhGECZ3RmOIoO7NTEfL6DztLVODhu9guXnL0RpBnTvNcncgMSFY8/ZG UcKGMx/58XOWM76a8zwYwb8a9J1O8xEd/Q0E+Fm2SDlPajKRjrr+4ZmK87kx 9qeefxDpy0EuDyX6wJbsE+tlbOMfjhm6+Deid52hqV5E2ZcPJZgoGBRqlIjs okbruWeZLpHSPbgG1uKi0Pg3sRbt3x6uW3B61R8T3741rExIKE4busBweUES XLNOLjAkuhxKCVbDUM4z+sAijtXlD2BZrsDl46/XO8XRE73zDVKAt7+wBkG3 up7xazS6l+uIEX+wxqqBxoXKKRvmMyQxhS4+mJyg2BxTPojoQ3xYU05ZkXd1 T7tDVIpV+yDxoe7xPog+EeVDo0qoPvSKD4oUvGmyD13ahyJ925aKU/M+K5O0 OKaU4x6UBjk8XLfgBBWiZcrHW6pRIdMzFxVmdVyjSDZBDYr2GbRA59wVTHEH Pv6SjrioNqhDQR+/ryb/wRr8Q5x4MhYXHX0FFs0Vb2KDX4rBR6Y2L/SeTuPI AeWYGjrpQpYsBUuJTwy9j0+cxByJ+OYwuywax8zQATNMX0d5p3sCEnJ39+aE 8bRi6BGOT55HlSmZYJWiC9ElrgM9kJ5pUMrhRVs6B8qcJZcLF064c3miQ9be b+iC0ocXEhXmInhXovd8WAmqpRpTEvZ8OpcBLlfG6GIEMNiiEgUff40pSVx8 /HGalu1ZhL93jSrEKZlgbb4xT9byd1gojF9W4TpYtWWh92HlT2JudBPM6FOt suoSNpg0dI0ZOWPglu+RCxC9z3h+ks5CbPCwZ+iIGZgxh435AiY1ctxD+ebE WpJXn8JsprTKJH447fph2UonuixnhD1MSv7PWzO8nfvwQqIKmXQLzCtszGt0 jrUnoNZ7IC2qa2EeCk1d41Xa5vXFdYJWFqG7F2T4C5p4d2qQjCPOIQV9FNPl sKYPrYhuMFPmv8XlH2L0VXm06lFPa5RVXNs0XyOpFVYXKuiFB603nPMOJCo2 BmIqPMgGGmmJ6LJuEC54c4eYMUFz0UjiHmlbTs25x+MhaxN8eZdBxHc2KCUS XWalDY4Xt0NKyHIilrJC9zIIzB0aVBgLGWVB/G8wdpMXu5Ew+XBdkguoNCys JNeiOIXdHs1598YgIMoGFFlIvBpucjyjRWUSemumRTmvsBqxC2ezXK75i3N0 +af7Bc7eRlaI+QsMFx1+HfNSklBe6UZyG32xp8FgBQwmrEYmWKEcL6R8CNHb 2LeEyIc0Ol6yEFIuoIG9jYcSjUKZO7hXmyCuEV3mDnpx1kUJeNeQyr4ajEn3 y1UiiewNyircK0aQhaaqJaMxIjr3YUTa1TqMVOtcxst3NHluFa/FHzIB7fJ8 /AWDshcQn3D5q+uDchkmzhmIuz0Y4m3AJa9cBJScG5k/HQ3hbJ8PPgA9EB/X dt6o4oi7CgR23qgkE1QYa3SduNi/SMa9ATC0wlwrohE1KGuW60wkgQbjB41m ZZLnatxcisNVOIMoxHbHgYrrQNQfScP12gQixGbJFE4ICvQOzzIjLbOBJm3G VV9creZFq3I1STboKNIuUyjjNVs+kLNM9dHHX+/8aP4iS72DRHzwqz09nzF/ sePLAYcMq1GBUi7KkIgFCqTaYLWI0ZjNxRoRcaML+gTT5WRVowpxfLPtMRIP 0SVV0guOja7RbmG67Ds2GpW3HatwWwbcB7j/AOgmBgG5p6ByxVRStuj4ShMv eVSAQ0Ag+0O0PLJMSUsLfZnqhd5u84FAdl01yGwVaJcpEPj4a5DNx58MTfhL gmqrsdYPDryPYDyoJ1zxZChcPitvJhNyD8sTLq7r9G5kusTvRhOdjDpxDgTw alKWGjCWDb6qiQVAcyb2YRvd09FgrZQWBgy8ICYQPTXt3UcTwTQpq9F3e5oc x10nDpiMBazJpQ8IfGVdGcERMeBAEOiFMJK4XgYWidN1HVmAjqqBNpsBGQTI QtgyhUa7mr9e0BfX3GxctuEvqV+zcvo+/npjQ1K2OvbK0dY4rDUZTXa+z5LD NSDoQJMxTHOLCr/QAzkgTvxtvCDBN8PcM+8wf/FuG8pxUNEixReitx0j9IgW KcvTWWETxyOCvXujy6CKrv/LzTBZhGtSzsmNjAZVNHl4lOlyUZ7omLWZm164 tg6oeoxlAgChj0a4y01gDM0qXOrlrGblI/VibLPSudyRpmlgczWmxHc2G5FD N3z88bKRWeKXNchm5bV8/MVr6c2sRbfXwUXyLT/8wgPMLZopeyDpyBV20jjv 9xZO4F0byOWIhqc1cBqWe5ZcPNGw+0OPA7haKYcjGm7+45f+0HRMOdQC3hGT 7z4Rja69v+neN2w2yOx5WdAzRbP9JhNK0vvN14zIyWL5CO8/4/ei4uM4obPb jvIH8vBUJUDmMc/wWatRg/NtcqMvp65EUy/X+ZWqlaTXOmWC21QNGlle0Y5i Qf6Se2ml8tVw3lGryR/6X2dIiOC3DPLrMdlLTqKQImhbqCH8iCIR6JMmPy2c wDM/JEaEaxby1Y79iQmwSNIXBi7sD6YWjBy8pRUfRx3iSguIm5jxPWE8pjry DRHaphDLOGkd+IoIHacSnxTm8DtbmbNEwHNCI/dhTpEtEYHu863AMbdNuV0+ 3IrwSU2v95TK2tML200FmcqYBWNK7bcY5XmLgnIN1hUuQDXmOJWXL8Xiffy1 8mRq4gOHnAluMuGsJn+1YI/8Haf6tOmCSo2Pp4dcKeOV3MQkHqMa+CoOhDAq s+t9Wsmn545T+MUD6gg940kK1BJ4dHpGT4zxu+OUKc/v4+P8jALr+N/8vQ9s EGcA7ScTR+PjfDkmgj4ovR+b5bsvdOktPoGmKH3ka6H4Dc6hr5UW2e/HVLBv 8pa/kjxl0xfi3AW6zJsVl2djJnD0r63QUxVnd7tNrs17/DUO9KUnhLfZKJFE ysWZ5l+//sKWhQdj0QIsWvhEuCDa6YFvs6Wm8SGM4R+1AIAmPfC3s5KTYG/0 XJrj22jmufwdemqKgMSM77rt+EI9HP4DPZge0APOEnBKQg+IBUTC49xV8qj9 6RnvArm5d6KXKSQTblQhmJcpPvGug4llusv13W/5NTIff30dTC8yJI90vuHx 97YhZHom/Gnq6vIHYdWvKbyF33se2OJHgWHm2/8l/H85N0HfcaDfh74e+Ar8 ovy+7XOIpcs5puUumt9Lc9s+B4ci9N7zEBnugAicu7ic/XrveZhs3cHC6bvg ccazWpanDLU+h2aw45WKe5XevH2ld9fOzLdlOsSXhvZ583l95UsLXe4E+pS6 AH8XBKLUBfmjkiAZqlMZft0UTsjuJs1R+CY3t6LXrWQHqFHNdfR6lr78YyaY 7pUaPQXWV8D0qOXMEI+635Oq5q9XW/RlJznx0chSotW9R2tLQ6f0Xm4f5I+R cIMwiTpSqLwLJB3v2mXospztLteYOzyyOCp3Jr2OiyD1QmKDgo9erolVC1Lz z6mBSsrDglT8Ia+uuK9WJxBCKCzcHmoynTdXLPTMMMGfwtGXU5ocL6l2D+Ob BRJ9fUf2noiO2Qlg3702BINtUsLx8deXUwQ1jcYBwqSA+c94/NH7zo+COkRB Y9aTfO7SPV6XZE0oZvQLjovo+l6MGIoeQrRapLJ95t5AkivURr8+/p6IIL67 k05Ill1h6un9lQiBFeBrQndG9OsbrHReD7ZZdT5aPVg5w+jq1/CXfD+mjNHH f5TPWvCcmvN995KHmcOOfFPrXnz9ouAxUxOpfd4Q5DtzzcoE7OohC36ovGyD NlcPQfyD8PeGgNcFzJBFBe4tIzNknhhWiLTZaN/wl5zhycsaPjziOGlqYhyD O0q5sW0Uqz/7uUyhno9e7vNGSVJZYw790oqMKxVzBJW/ech8xKps5e6bWSp0 YimqgOPyN1KRIHrZoydZL3Phrg68Qi9cqZhei3syUpGjx4HkZFzJwz3iBlMF lzN4eVvl4ssUSvQBSeHc5h5qlsys2aAE5EF0WT74syWEwriKRNTHNr7tvYyN yDvciQfYDZ0/N2dFVJtxx0sB+KARfZjQ8PeO7cn8gvjgdMj0XZYdlxlnnm+t +AxnnGVAn9PSx/D+bIlRDx7JwuLs0Sk7lmOGhJk4Bz3v6ArOsGHCQXRZtafy snVGdMm+5aCW5u8dBJOF5Th7Du8gg3z9j+jyuVA9PqLT58XWVRwEm0fHi4+e kiW3NbMtj3Gu/0ua/JhlR/eADoR2ostGnf4+J/GhRe4ec7SI/GCLj3+iHv7e Mbt0Py1YxQ0KwQ9q/n9+uaPHbxYyV71BLJ+5ajF+BOxSDiuQnbUoP+UeAoCY SxON1DRZPG/vbiTMtyi7rMk/t8ZsTFM0aTHe2/CXz2sB/0D7YNigASZBlz1u emxhG6K7pbKZibssPHmKT3ibn6gtmGAsN5iHOb272QiYXG5stO9ZuVLAy4vL GfPxcY8/XoZi/mJT7qFLoC832jX88QQO2BTRaTG7tWKztNbo8a+wd3yUT+oV /tWyZu6rdSj0KhdtMd4QRsBfc9xAMeIOjmDeR/vQKwACiN5+0lvux4/MpWeY jtO6zve5vKx+3WH4d7/k8Qcc3GEQY/Yi8Ug4REJpt83dFOJ/14XpcoaINfwY RaL1i4/TJ+2I9w/rFP6VNkpW/wUfKJIDaVdQAP8VH5s2teZw4RtvzxINZON9 DA89MsTnO40MwPfwx+repCzkToPOoRVmg41kQ7zpRtwcfpAMbc/wphuZzDvh 8Ub/1SO88SADWMSd7L+8D+qJ3NcvOKoQfp9l5N6hFSP34t9Dj488gb/jjxWA d+GRlUMrhmeHZ2V2Fxq9NDw7tHLk3iBOJ/ElPlDFe/kFcgziLwWZd+Dv6D3w h3ivHHk8AAII0q/3osuqaIbSpOP3URewUgP+BrwrOod9QwZQifoZxK2Mgnvg GUdDlZulsttJ7g0+WW5P5YBzBMeGf9zx4S9S8XFsyowvwlywU4W5oOmv6YoM 2P0dRQnNhT0Z6a7hyLGN4/dzPfj7G/UPMpljmAT5QUI6HlOvcY73ckog5G10 +ylImHmx2brLkUN623pGL9G3u/Gzm0BES42kphMT/etwgyg+jiVtXL9MHh25 D9eWu89RbdofgoA8l+4naBINnXv2pyP3osMEd4O0CN7+PvxY37Px8Y5TVAjx npgYeQLzVvAxjy/c+yko7Aqq4t+1KX88/JdcbN6j91daDqURRj/KS6v09Xr6 kKY9xv+0Ey4lAg3tMmI+ERYfH/kGC9J36+i+PMjibs0JMoi72SPSp7aJEy5Q CqcgLywzHb+DLHT3o2btJ60nFul+73n81in8gJY7T2dL2VIIr/jgA/gXfAE+ qvO0FILMueczvCIIZUIdp7rPdZ/rOhPEF93nvEJYgQsFus5ghMSXVgg/x5U5 23Wm9zxyz5ztOIXFsFEugQUadnyBTXSdwU/KYxfwKVjdi64z2C41AOE5xAyz JSzXiAy2fY5/d50xLPCjmVgPfwck0e9cxYLRBvCWG3eDJcF96D0PzGUM4e5z veeltgwXx2FBiSCKS4/evMLRYKexoY5TOKLe89jxEDG2Yr3nsR2siYLsOgPK DtKroBkifgcQBYf8pKbVzF1Dxtgfwzhztm1KOQoTKoMSJx9wal89uVrlJJa1 TcEgsBeh0hx+WW3gK3rIl/FfMMuX6aHvAs6gwDY4LNLn2+hF+bv0THqm7wI9 DH2NH7Ud+poechdx57Q4+0Q9XbnkLCnXrHq89WvXnD27v9wMPbxd+7Zev0+1 b2tm3tq+W7l7L77WsuuVvRcXu5V7Pcq5Paz8NxFb3il/7BRb/nahq5rXsaDX S537wsPgYx8djz4fmDe5vyZFZmvLbPVfvLg5+uPdf7foCK9PQU9mFXc5Pipv Hzn4nz787aK3ha5PwRtunbf95u3atzVzS9W+rZl5a/v++fgXN1uBvZ9aoa1v UyEs2nK9ynzn1IyT0R+P/nr01xRMF45q16fgPLkFDAT+2/vpAlnBtSgyT27R 8g52vOWdOrKn61Fwntxi69t7P9376da3F80Erk/BG26Nt3Tt2172Zq19WzM3 a+3bmpm39gr4K/JR2bI+KmOuAG57ewl9OJXAcsuvcQHKRrBbYe6W47ROWoHS z60Q7gILizuu5Xt/DyyrYtmeE4P4tS8xO58sgtJX+LnzWr5mPAQ//G30eYe3 LtxwDm/vugbvAqIh97/tV4vwIMKu/Ks9D+558IMfHXqp/Fd8bWrloZc+aLQC e+C107B4kcYr53La9CbIheTMIf8u9ed51bj0WjegNSJM/48PGoEA47Vih54u AYoLXe/+fs+D7+4vdB162goCPXhocwH/Cc2wYoC/h6f/CUr+5IMfjd4tX9Tj d19cI77nb7H+kpApt3aKSHj392g1dvnv93TAY3f5V6CgIrUYfPf3ZMqRKs4R 7MGeB489A+0WAlWiuPpcL9xCfSXhgl/GyqF/oM9VF35GD78bYW9CbPlNNVtu cT+9ClYK4Kryu3iT96+GEI89Qg//8s/1MZVX83fyyvldvMn7V0OIh56mh8+/ vUqdvHJ+F2/y/mkh0vvpf2S/cOhpKgumHyYQH/hdqfRERdXFe3n1GF686Xto BBkhTi85H/N7LG6DByiUf3XoLSjY8bn8s9Z1dfHqMbt40/ZMI9DG9+W//11p z4P/cKb8V4azoL38S3o4tJkefgUPiyv4KnK8eAv00SdM+K+AQf/QZldNQnbe PYCKqlATsXIK776+50HJDl7/3bDjWIF5On31uV+8hfteS/gO5VE/8Tfxe18T lN4eewZBUJHqXrjqHC/eAn2sKcw93ZDLvl7N9uM9P4Gp5NN+tk7xg8ZFOnrl HKuFeTP2Uc2IPvbmA5B84cP/eTXge3OsBR+m/xEfZK5+6OlDm8u/ZGfzy+l/ Mtgv3Xto8wc/Qps4f435X7jF++/N/Qs/c/1I+N0D7+7f0/FBw7/8s9yEqXz3 +ruvH3pr+v/imoJ9+VWjN6TVa7RQ5SP8N+zGR/SML/9N5ePK+R93YO1tSBjN v5BclbQCrUUr2Oq8kCzwPYBQa3F15r2kU6SvWO11Hsm1Flvyj+T2FknPW3NW eneOxGAPZ57KtORanZbcU9nhjDVVD1daQHotaeGfMPwEoxmnCLRT9VRuqtHq 2XorBgvFF5KtANGWPBcazVuvutJoLUYz76V57fG1tJVsyRWKtCq9CxqzoN6u bDlHS1xb81ZyPbApA5v1RSu5laXRbEGt1VnHgT7Bb7vgt70ODDA9mLQm624h xqoi8URQPMNZUtvMkjjEavThzJI4NAxnoxkr+UISGgexWcloZjj7CkrrP7O/ tZJ7OQ0LgRySWBIFbpfzu3OgCGC83Sll6ANwodEcFvgwh63ecTCLDziq1cB/ Qw7xDA0XEQROEdtc70wspQmy801FK/1hzgoNpuF3Z3fOSGwp/Yz5O2KdXvJg N9BgZ5Ik4gIpckPOE9xMenXGEV6FIr5dnaXbQk7xvfTqLMr5xUxBPs27Ne/x apohm9mad5wZ6E0pi/9/KitWuYo0ZE0spYkIj+dJGGc5xz48P5M0kltKR4Pc E0t35fSSR4t4sMBWOfJw6YwnuXK+UJQAEy5l1tN7+JvajxKoLBsY4uu9bD8g Of7i/5NJxZk1+GSSHBG4A1dul9eASHFDflXyw/y5y+fToLpz+grH+xRJcjRP 4x2l8T7FkvyvrJXt4DytILqXXRlyL6S5R/Kr0qvSlr0qjYOKjOY3OehF1hcP ZqlVVhA2EcCqq7lqiDvIsQmsgN49maR3k5fZXIzQn0M1FYqfXSaTyAIdO3MF ckAnA49PpgMzacBWmv0rife/YPXdOXQezHZDnoIb3TYcBCNhVQwm7YXlGW3J b82VMqUMeZP0YHqqXsZNxgdFs8PZs/XWitZqc0m1g4PJlrwp2JLDZMMikVBw 3U0YZA08kjuYNVw+zDGuNxVHKeqIpZbzFZaKWrBb8rsymyAZWZ3d5AxnOdeo h+0yzw+vL56pt1ZDjSbPLmkkIA+Q44Z8AJAXgvAEChGQoETCrdSjVUkI9XhF MoSB+cVsgfbXKvx+iP3+9iItbq5Kv5d2OFlamEUZEqIn0+zyIOpTp88sVKtJ sS8typ4HW8pQD0sZlq47upBFRjGTJHNazRlMC8MJDZK+uxMaJgAdzPJ2b5Zd VoQNcFMRjIyieTlHtcfrZ0u9+cgJGIcKoz9TT+3meZo+VXfTLJVyjtGbq5IK 4AUzLPYxOHj4/yo0PHR0j+TLuXIeGWwvknN4SpwDAu21tCuDWkweQAA6xUfI XzoAQELna0m39/O1XKuR+cpjI6EPaUxbeYDbabQHM+4Aox8R5UNMUSi6/1tH ZhAt+dbiI/n32FNscrxGVyXdkflq45zGLkNqtToD2MuuzsK04+x8BWtxPTVv 4eHMpiLOBHi6sCEP6fGrxn/bg+kN0OFV4M/WF3dlcf70x7XJ99RP3utct5nh bcJSCdYf/T+QOB7G\ \>"]] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Positive and Negative Feedback: Oscillators", "Section", CellChangeTimes->{{3.4177954930622*^9, 3.417795500661136*^9}, { 3.417795933423083*^9, 3.417795941803454*^9}}], Cell[CellGroupData[{ Cell["\<\ Oscillations often arise in systems containing both positive and negative \ feedback:\ \>", "Item", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417795555366807*^9, 3.417795600210084*^9}, 3.417838922672539*^9}], Cell["Positive feedback creates a bistable system", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417795608145477*^9, 3.417795636801006*^9}, 3.417838922672819*^9}], Cell["\<\ Negative feedback drives the system back and forth between the steady states \ \ \>", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417795640274346*^9, 3.417795670074649*^9}, 3.417838922673035*^9}] }, Open ]], Cell[CellGroupData[{ Cell["There are 2 varieties:", "Item", CellChangeTimes->{{3.417795701573481*^9, 3.4177957228734*^9}}], Cell[CellGroupData[{ Cell["Activator-inhibitor oscillators", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 15001.}, CellChangeTimes->{{3.417795741547547*^9, 3.417795775118902*^9}, 3.417838946090855*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 15001.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, {3.417731462091422*^9, 3.417731462178471*^9}, { 3.417731504226867*^9, 3.417731504315766*^9}, {3.417761590500195*^9, 3.417761590590663*^9}, {3.417781081732826*^9, 3.41778108180133*^9}, { 3.417782657492786*^9, 3.417782658153671*^9}, {3.417796044167557*^9, 3.417796045530133*^9}, {3.417799344940496*^9, 3.417799345672872*^9}, { 3.417801392453714*^9, 3.417801393731691*^9}, 3.417838946090991*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnelRwzAQhWN3QkuUQAP0yV8aAkIOx7r2lFfyewwziSLt28+SLClmhreP z/eP9XK5fP/+fv3+rhAEnVDLuJqYpFfvGwsk8QSSeAJJPIEknkASTyCJJ5DE E0jiCSTxBJJ4Akk8gSSeQBJPIImnACRGhhFIbCxjkFh4BiExcBWQbJ8hWXDn nkiVnlNVw7QKck2WzetSZqqna1sPV5JqbQMQSV87kPBTSIfRuCQ1D3IYdoxX Eua8pKRAyqLdhHzverzOXFRWHrnKgiskI3m4P4F2FZTaepCbtAqqTe6vN2X6 4UbKot1ERPLM3WLikLJoNxGSPN4rdADJ61B6zngVh3aqqfddrzlkkhIpR9ds 0ioQ5aCLITRuFQhCzkJidQhku7YKRFENYrA9jz8zGgkk8dSbxC88SMR2bvFB IrabhMRzUyYlkeUzDYnVnr8QvFVAbEdrNAlJ9nRopr7zJOLKCJJ5SPwEkngC STzhpGXm5xcZ64nUz0wgAQlIBJFPt+8CiZ+w74on7LvM/Pwin44EKyNIBJFB IvUzk4RE85X7PCR+Eo2u6UhcEhJLNuMnI/FIRyHhXXgqEodkVMLpNxxIZ5Jb cJex6XbSysZ5kNh41A3tSDKB/suUXVJo7UmShrqWaMdWob0vyS7Y9b16khSW 5SLJYqUWnoyk0N8dSW6hVwsTIolWNbcBSdJCA5MshzNJpvD+mTIyZ8bTimt+ 5ULteqK6C9t01V8ShUvKCUIrLtazQCkMcRMRSdz87cQg6YMitqGROA6K1Mqq YYWkB4rc5mQkhf2BgxQ2NJJu36V4k5SL9X67TycjEXmBRKpqnOU2I8cnURm5 nU+ofuwK5IYgsRJI4pGI1fve5SeQxFO4ldEu8tEk7vcukLDjDEPS3OcOszIe 3ydmmoZkoj5pCSTYrQQUSMz8zAQSMz8zI5BIBRJBZOy7aGbtpwpjkbASoge3 ikRzAwkltlUkop3bU+TzkVhl4Pdgn0byz2GRxfEk5c+UfmZizROTTmknI7Pp TlJPZmmlUGvcKtj6eB+BrwbOfyPhdP/cRbzdWPgNVzKJ0zqQRF0W4thK0yGT kLNjKblC1CuW1iOvJ5z86Eo2YlSndAPHWk+Yf+Sz0PXSZt983fw3n31sLsl9 KrqRPLNfUxLaRWDdu1gcJKVdUt75bX/Szux+jk/c0mxIl2zPEYEkfUcm2ZUk VZTJsZS9rJROSescTCKWeI0fQCCJJ5DEE0jiCSTxBJJ4Akk8gSSeQBJPGZJh NS0JBEEQdIR+ADKwQ8E= "], {{0, 0}, {202, 211}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 202}, {0, 211}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 15001.}, CellChangeTimes->{3.417801394409988*^9, 3.41783894609107*^9}], Cell[TextData[{ "\nR is created in an ", StyleBox["autocatalytic", FontWeight->"Bold"], " process, which promotes the production of (the inhibitor) X, which speeds \ up the removal of R. \n\nThus, first R builds up, which increases X, which \ forces R back down, and the process repeats. " }], "Text", CellGroupingRules->{GroupTogetherGrouping, 15001.}, CellChangeTimes->{{3.417801454333184*^9, 3.417801600238696*^9}, { 3.417838968801122*^9, 3.417838971520094*^9}}] }, Open ]], Cell[CellGroupData[{ Cell["Substrate-depletion oscillators", "Subitem", CellGroupingRules->{GroupTogetherGrouping, 15002.}, CellChangeTimes->{{3.417795752142833*^9, 3.41779577091793*^9}, 3.417838979649636*^9}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 15002.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, {3.417731462091422*^9, 3.417731462178471*^9}, { 3.417731504226867*^9, 3.417731504315766*^9}, {3.417761590500195*^9, 3.417761590590663*^9}, {3.417781081732826*^9, 3.41778108180133*^9}, { 3.417782657492786*^9, 3.417782658153671*^9}, {3.417796044167557*^9, 3.417796045530133*^9}, {3.417799344940496*^9, 3.417799345672872*^9}, { 3.417801392453714*^9, 3.417801410028458*^9}, 3.417838979649874*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztmoFt4zAMRWNvcit1hC5we3aEm6ZFe2ksS2L4JVr5tv4DApSJTPLZsmSg /vP+9+19vd1u/74+H1+fVQgxIcuJua7JuOsfi0z4kAkfMuFDJnzIhA+Z8CET PmTCh0z4kAkfMuFDJnzIhA+Z8CETPmTCh0z4kAkfMuFDJnzIZBT+dthN/A2x mxReramOtOOXs39NqPbqEL1J3netwyNNktNXSNz2+tYrTNZ0VhR+ntLkaYev NPGlSD1ObpJ9sRSvsB13kcyJcn0kx+OLUp4Ra9c9ALa5R45C1lo137gmtqfv V8jbmZXU8/3R90le77wm6Tp0ZpPtV20m5cMGmuzueGhfdAgfbPJoImvnVCZP a1/FpH27LCez44O5jsl+We5KZMcDWIp/4mlebxJUncqka6YxmfTd/Wwm7eXp TJrrDzHx9de5T8oELOLI6n2+qh9vxyHMZeJ/6K0msOMQvN3x7ycyAYvYcQjX MRmCTPiQCR9Ua1dnETsOKnKVVVgmYBE7DkEmYBE7DkEmYBE7DkEmYBE7Pg8y 4UMmfGjtAovIBCpixyHIBCxixyHIBCxixyHIBCxix90g/6viNlkBk846dhxR YYjIiPvkcibhebMydhxT41Im8WmzKnYcVOQ0Jv+PqjXsfQMHGFw9vBp7syzm wZhJSwdhs+v7sPrZdCW9nw13B+nANpNs0Hd97CwUcqzY3ErHNppkw5YFFcmW gZ+TASRJUzSb5AeCEzPLAe+g6fgOk6wPfw/FHPfZteyHPMM2gZLcD0BbSHLc /2pJE2Cy6aOphW2O/OQONdke19DCPsUKTNPKiWg0SQ5z97CtkJUG9pPSichM sC6WJ3t8Nceu9AItgcUTUY09OdoembLB2UV6nqEe2SbZNegi+vEYMnnMydgm QgBMIi7EgWAmzCozmoALy3BAE2IVt8l+V6fDa5I9n9ABm9CqTGfy+3BHKzLn Hk+OTPiQCR9Trl0yGYRM+JAJHzLhY8o9nhyZ8CETPqZchWUyCJnwIRM+ZMLH lHs8OTLhY753JH40mF38JubPBKD3Ca8KaEI8vSAT6nseXLt4RcB3iQ5vpwPA 5PBe+gD2k+Ob6QLdTw5upwPkPuG+MvM9d/EjEz5kwodM+JAJHzLhQyZ8yISP 3OS8XNVECCHOxCfoNU72 "], {{0, 0}, {202, 218}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 202}, {0, 218}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 15002.}, CellChangeTimes->{3.417801410391057*^9, 3.417838979650042*^9}], Cell["\<\ X is converted to R in an autocatalytic process. Suppose first that X is abundant, the level of R is low. As R builds up, the production of R accelerates until there is an explosive \ conversion of entire X into R. Then the autocatalysis shuts off for lack of substrate, X. Hence, X must build up before another burst of R is produced.\ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 15002.}, CellChangeTimes->{{3.417801622561259*^9, 3.417801622897489*^9}, { 3.417801665522385*^9, 3.41780167766974*^9}, {3.417801712266431*^9, 3.417801854616189*^9}, 3.417838979650171*^9}] }, Open ]] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Activator-Inhibitor Oscillator", "Section", CellChangeTimes->{{3.417801902414346*^9, 3.417801910893453*^9}}], Cell["\<\ Here, we look at the case where the response R leads to both an increases in \ its activation as well as its inhibition:\ \>", "Text", CellChangeTimes->{{3.417839141853488*^9, 3.41783922992539*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, {3.417731462091422*^9, 3.417731462178471*^9}, { 3.417731504226867*^9, 3.417731504315766*^9}, {3.417761590500195*^9, 3.417761590590663*^9}, {3.417781081732826*^9, 3.41778108180133*^9}, { 3.417782657492786*^9, 3.417782658153671*^9}, {3.417796044167557*^9, 3.417796045530133*^9}, {3.417799344940496*^9, 3.417799345672872*^9}, { 3.417801392453714*^9, 3.417801393731691*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnelRwzAQhWN3QkuUQAP0yV8aAkIOx7r2lFfyewwziSLt28+SLClmhreP z/eP9XK5fP/+fv3+rhAEnVDLuJqYpFfvGwsk8QSSeAJJPIEknkASTyCJJ5DE E0jiCSTxBJJ4Akk8gSSeQBJPIImnACRGhhFIbCxjkFh4BiExcBWQbJ8hWXDn nkiVnlNVw7QKck2WzetSZqqna1sPV5JqbQMQSV87kPBTSIfRuCQ1D3IYdoxX Eua8pKRAyqLdhHzverzOXFRWHrnKgiskI3m4P4F2FZTaepCbtAqqTe6vN2X6 4UbKot1ERPLM3WLikLJoNxGSPN4rdADJ61B6zngVh3aqqfddrzlkkhIpR9ds 0ioQ5aCLITRuFQhCzkJidQhku7YKRFENYrA9jz8zGgkk8dSbxC88SMR2bvFB IrabhMRzUyYlkeUzDYnVnr8QvFVAbEdrNAlJ9nRopr7zJOLKCJJ5SPwEkngC STzhpGXm5xcZ64nUz0wgAQlIBJFPt+8CiZ+w74on7LvM/Pwin44EKyNIBJFB IvUzk4RE85X7PCR+Eo2u6UhcEhJLNuMnI/FIRyHhXXgqEodkVMLpNxxIZ5Jb cJex6XbSysZ5kNh41A3tSDKB/suUXVJo7UmShrqWaMdWob0vyS7Y9b16khSW 5SLJYqUWnoyk0N8dSW6hVwsTIolWNbcBSdJCA5MshzNJpvD+mTIyZ8bTimt+ 5ULteqK6C9t01V8ShUvKCUIrLtazQCkMcRMRSdz87cQg6YMitqGROA6K1Mqq YYWkB4rc5mQkhf2BgxQ2NJJu36V4k5SL9X67TycjEXmBRKpqnOU2I8cnURm5 nU+ofuwK5IYgsRJI4pGI1fve5SeQxFO4ldEu8tEk7vcukLDjDEPS3OcOszIe 3ydmmoZkoj5pCSTYrQQUSMz8zAQSMz8zI5BIBRJBZOy7aGbtpwpjkbASoge3 ikRzAwkltlUkop3bU+TzkVhl4Pdgn0byz2GRxfEk5c+UfmZizROTTmknI7Pp TlJPZmmlUGvcKtj6eB+BrwbOfyPhdP/cRbzdWPgNVzKJ0zqQRF0W4thK0yGT kLNjKblC1CuW1iOvJ5z86Eo2YlSndAPHWk+Yf+Sz0PXSZt983fw3n31sLsl9 KrqRPLNfUxLaRWDdu1gcJKVdUt75bX/Szux+jk/c0mxIl2zPEYEkfUcm2ZUk VZTJsZS9rJROSescTCKWeI0fQCCJJ5DEE0jiCSTxBJJ4Akk8gSSeQBJPGZJh NS0JBEEQdIR+ADKwQ8E= "], {{0, 0}, {202, 211}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 202}, {0, 211}}]], "Output", CellChangeTimes->{3.417825780132712*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztWNlOVEEQLe6dlWETGMaoCIbNmABKVBRM2HQcgvoqKhqHAQMGo8F50PgB foLLJ+iLH+GDnyF/4Vtbczo9NrfrDrMAimESOsWpU7dr6e7qe+/mixvrL/LF zUK+//Z2/tXGZuF1f/blNkN+ExHtlP46iOVfFP9JfTtKMSAMrUr9IGpxRY/o O8Zj4BiA+IZFn0jxjxYFJetqgCNEOQGOEWWD8IBSSSIfj2JlnKhNqWaiUYHI Y4lZcpPisOhS6gZYtmpCNm02FtMGv1KJmIW/7VUROd4TexATRHOQu0KJHHtU qaiJhH8eHCgXZtSSO/HIceExvpWKGP6NYmzBeNMi8O9SpchiRo7Cbq9E6GkS CKQ6OstcxzlTQYnOxKSTFDZdMAFdDl1RCZgm4UzIiqqOuICl8C4I30LhHTgL txw4ZxXv7T7s2DWMT6qEC/D1cWPwKvKwEoTPY7xWSXkV6X2030peMCmih7Jy Ss5Eo8rPVcIHXtIDjfJvKKvNbN0Jry2//0XaB7F9JispPwThIZyIEswH+8cg PIx9L8F8aH8KwiM4WSTYr2kBlI9S51G2Uset+9JykLiEMW0oPD4QKGzZDTkC eRZyRiBytJ2Q9V1mDmOPQExA5ix4oMzDtLtuIjfQe5DjoCTMVUSilMPgJj1v LjfOpO1WSsKJ5Xj1LWFGnnoJAXRZdZiRw9ApnXBqMivnUdMXd19mwuuTATGH JDm9pAc+fhFgdnQL8nRQmcaqD1fyPM/x2KmalN3YkRt4+HVBqVe2vgRtNcLK WFvgLDzai5JAi2+I0stwRLu2+5o6WcnqnJzktbqV72uCnS6iffu6H7AO0DmX q4j+kCl3rEO1r46UrzdoX1vJDrdCR6B89W+kp3gj6g1VJrHxJeUqTpV6lAUc vM6bRAicwUmqO4HzxpK2+mc2lOKZZpOVC3rG2JfX8Glj5JN7eGn6GsYIEOdU PAW/nkHW94V6KCeRkfuWX60getAOWbjTl3VzW8YcbUDKXXQYYIdg4SH9UXMt 0Vc8526Qhg8rqHAK8gjkVjnzMcvNMaXG8HkggksLr7xSAnXHSFi8GBZeSnDR N9W+qNQ4jOzQ+JkX8K7v5DGCZMQxuWcyqEMuzWOa1q6/lOBCETlJWVUblIMv Wt9k9CIZRKduE4iekfWCG5AL9K1Svf+V74xHBJA/mxsx9IP7n4GafgMJkAwa \ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"ActivatorInhibitorReact", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "X"}], ",", " ", RowBox[{ RowBox[{"k", "[", "5", "]"}], "*", RowBox[{"R", "[", "t", "]"}]}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"X", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{"k", "[", "6", "]"}]}], "}"}], ",", "\[IndentingNewLine]", "\t\t\t\t\t ", RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "R"}], ",", " ", RowBox[{ RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", "S"}], "+", RowBox[{ RowBox[{"k", "[", "0", "]"}], "*", RowBox[{"eP", "[", "t", "]"}]}]}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "+", RowBox[{ RowBox[{"kp", "[", "2", "]"}], "*", RowBox[{"X", "[", "t", "]"}]}]}]}], "}"}], ",", "\[IndentingNewLine]", "\t ", RowBox[{"{", RowBox[{ RowBox[{"e", "\[DoubleLongRightArrow]", "eP"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"J", "[", "3", "]"}], ",", RowBox[{ RowBox[{"k", "[", "3", "]"}], "*", RowBox[{"R", "[", "t", "]"}]}]}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"eP", "\[DoubleLongRightArrow]", "e"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"J", "[", "4", "]"}], ",", RowBox[{"k", "[", "4", "]"}]}], "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ODESys", "=", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"ActivatorInhibitorReact", "//", "interpret"}], "//", "First"}], " ", ")"}], "\\\[IndentingNewLine]"}], "\t\t", "/.", RowBox[{"{", RowBox[{ RowBox[{"e", "[", "t", "]"}], "\[Rule]", " ", RowBox[{"eT", "-", RowBox[{"eP", "[", "t", "]"}]}]}], "}"}]}]}], ";", " ", RowBox[{ RowBox[{"ODESys", "//", "ColumnForm"}], "//", "TraditionalForm"}]}]}], "Input", CellChangeTimes->{{3.417707878456383*^9, 3.417707881561127*^9}, { 3.417707947248625*^9, 3.417708043754384*^9}, {3.417708076035349*^9, 3.417708077588026*^9}, 3.417730813770281*^9, {3.417731661942531*^9, 3.417731669115235*^9}, {3.417731702811681*^9, 3.417731816324857*^9}, { 3.41776203408499*^9, 3.41776203629243*^9}, {3.417762070636538*^9, 3.417762079567813*^9}, {3.417762133507612*^9, 3.417762139267024*^9}, { 3.41776224055542*^9, 3.417762323642906*^9}, {3.417762407363379*^9, 3.417762414785096*^9}, {3.417762576822515*^9, 3.41776258463234*^9}, { 3.41776264157549*^9, 3.417762643329834*^9}, {3.417762701044019*^9, 3.417762718247538*^9}, {3.417762774878155*^9, 3.417762775921088*^9}, { 3.417762808804112*^9, 3.417762815318438*^9}, {3.417762894178477*^9, 3.417762999866468*^9}, {3.417763182130553*^9, 3.417763182204953*^9}, { 3.417763406968726*^9, 3.417763408127091*^9}, {3.417763512439434*^9, 3.4177635278644*^9}, {3.41776382141425*^9, 3.417763825093554*^9}, { 3.417763987212276*^9, 3.417764015032127*^9}, {3.417764645162184*^9, 3.417764645970064*^9}, {3.417781107175815*^9, 3.41778110858282*^9}, { 3.417781151322069*^9, 3.417781153699481*^9}, {3.417781193275481*^9, 3.417781206959887*^9}, {3.417781387146774*^9, 3.417781388832822*^9}, { 3.41778196516312*^9, 3.417781975268545*^9}, {3.417782676945988*^9, 3.417782692299988*^9}, {3.417782729840072*^9, 3.417782769988143*^9}, { 3.417782811317876*^9, 3.417782865163831*^9}, {3.417796123678781*^9, 3.417796172266632*^9}, {3.417796213710446*^9, 3.417796216415044*^9}, { 3.4177962555351*^9, 3.417796504181868*^9}, {3.417796536652543*^9, 3.417796544780864*^9}, {3.417796596353546*^9, 3.417796654875439*^9}, { 3.41779738132471*^9, 3.417797381710067*^9}, {3.417799163650943*^9, 3.417799167152655*^9}, {3.417825790705244*^9, 3.417825809252481*^9}, { 3.417825864642665*^9, 3.417826130468104*^9}, {3.417826291257907*^9, 3.417826291918863*^9}, {3.417826339511215*^9, 3.417826348439999*^9}}], Cell[BoxData[ FormBox[ InterpretationBox[GridBox[{ { RowBox[{ RowBox[{ SuperscriptBox["e", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"eP", "(", "t", ")"}], " ", RowBox[{"k", "(", "4", ")"}]}], RowBox[{ RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "4", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}]}], ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "3", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["eP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}]}], ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "3", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"eP", "(", "t", ")"}], " ", RowBox[{"k", "(", "4", ")"}]}], RowBox[{ RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "4", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["R", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{ RowBox[{"eP", "(", "t", ")"}], " ", RowBox[{"k", "(", "0", ")"}]}], "+", RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}]}], "-", RowBox[{ RowBox[{"R", "(", "t", ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"k", "(", "2", ")"}], "+", RowBox[{ RowBox[{"kp", "(", "2", ")"}], " ", RowBox[{"X", "(", "t", ")"}]}]}], ")"}]}]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["X", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{ RowBox[{"k", "(", "5", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "6", ")"}], " ", RowBox[{"X", "(", "t", ")"}]}]}]}]} }, BaselinePosition->{Baseline, {1, 1}}, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}], ColumnForm[{ Derivative[ 1][$CellContext`e][$CellContext`t] == $CellContext`eP[$CellContext`t] \ ($CellContext`eP[$CellContext`t] + $CellContext`J[4])^(-1) $CellContext`k[ 4] - ($CellContext`eT - $CellContext`eP[$CellContext`t]) \ ($CellContext`eT - $CellContext`eP[$CellContext`t] + $CellContext`J[ 3])^(-1) $CellContext`k[3] $CellContext`R[$CellContext`t], Derivative[ 1][$CellContext`eP][$CellContext`t] == -$CellContext`eP[$CellContext`t] \ ($CellContext`eP[$CellContext`t] + $CellContext`J[4])^(-1) $CellContext`k[ 4] + ($CellContext`eT - $CellContext`eP[$CellContext`t]) \ ($CellContext`eT - $CellContext`eP[$CellContext`t] + $CellContext`J[ 3])^(-1) $CellContext`k[3] $CellContext`R[$CellContext`t], Derivative[ 1][$CellContext`R][$CellContext`t] == $CellContext`eP[$CellContext`t] \ $CellContext`k[0] + $CellContext`S $CellContext`k[ 1] - $CellContext`R[$CellContext`t] ($CellContext`k[ 2] + $CellContext`kp[2] $CellContext`X[$CellContext`t]), Derivative[ 1][$CellContext`X][$CellContext`t] == $CellContext`k[ 5] $CellContext`R[$CellContext`t] - $CellContext`k[ 6] $CellContext`X[$CellContext`t]}], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{3.417826117334399*^9, 3.417826299754536*^9, 3.417826349077487*^9}] }, Open ]], Cell[CellGroupData[{ Cell["Solution Behavior", "Subsubsection", CellChangeTimes->{{3.417839264050059*^9, 3.417839266583195*^9}}], Cell["\<\ This gives rise to oscillations for some range of signal strengths:\ \>", "Text", CellChangeTimes->{{3.417839272648655*^9, 3.417839296546346*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"ParamVarRules", "=", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "0", "]"}], "\[Rule]", " ", "4"}], ",", " ", RowBox[{ RowBox[{"k", "[", "1", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"kp", "[", "2", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "3", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "4", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "5", "]"}], "\[Rule]", " ", "0.1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "6", "]"}], "\[Rule]", " ", "0.075"}], ",", " ", RowBox[{"eT", "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"J", "[", "_", "]"}], "\[Rule]", " ", "0.3"}]}], "}"}]}], ";"}], "\n"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"PlotActInhOscill", "[", RowBox[{"SRule_", ",", "tEnd_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"ActInhTimeCourse", "=", RowBox[{ RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"Join", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"ActivatorInhibitorReact", "//", "interpret"}], "//", "First"}], ")"}], "/.", "ParamVarRules"}], "/.", "SRule"}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"e", "[", "0", "]"}], "\[Equal]", "1"}], ",", " ", RowBox[{ RowBox[{"eP", "[", "0", "]"}], "\[Equal]", "0"}], ",", " ", RowBox[{ RowBox[{"R", "[", "0", "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{"X", "[", "0", "]"}], "\[Equal]", "0.5"}]}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"e", "[", "t", "]"}], ",", RowBox[{"eP", "[", "t", "]"}], ",", " ", RowBox[{"R", "[", "t", "]"}], ",", " ", RowBox[{"X", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", RowBox[{"MaxSteps", "\[Rule]", " ", RowBox[{"10", "^", "5"}]}]}], "]"}], "//", "Flatten"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"MapThread", "[", RowBox[{ RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"#", "/.", " ", "ActInhTimeCourse"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", "All"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", "#3"}], ",", RowBox[{"Filling", "\[Rule]", " ", "#2"}], ",", RowBox[{"FillingStyle", "\[Rule]", " ", "Automatic"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"700", ",", "400"}], "}"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", " ", "Bold", ",", " ", "Large", ",", " ", "Brown"}], "]"}], ")"}]}]}], "]"}], "&"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"eP", "[", "t", "]"}], ",", RowBox[{"R", "[", "t", "]"}], ",", " ", RowBox[{"X", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", " ", RowBox[{"None", ",", " ", "Axis", ",", " ", "None"}], "}"}], ",", " ", RowBox[{"{", " ", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}], " ", ",", " ", RowBox[{"{", RowBox[{"Thick", ",", "Green"}], "}"}], ",", RowBox[{"{", RowBox[{"Thick", ",", "Blue"}], "}"}]}], " ", "}"}]}], "}"}]}], "]"}], "]"}]}]}], "\[IndentingNewLine]", "]"}]}]}], "Input", CellOpen->False, CellChangeTimes->{{3.417826416666401*^9, 3.417826621569513*^9}, { 3.417826762991371*^9, 3.417826800330319*^9}, {3.417826849837419*^9, 3.417826852742733*^9}, {3.417827011728998*^9, 3.417827011976705*^9}, { 3.41782704760384*^9, 3.417827139391508*^9}, {3.417827256566443*^9, 3.41782729992985*^9}, {3.417827335093282*^9, 3.417827359029579*^9}, { 3.417827410672656*^9, 3.41782742164655*^9}, {3.417827586453656*^9, 3.417827590102948*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotActInhOscill", "[", RowBox[{ RowBox[{"S", "\[Rule]", " ", "0.05"}], ",", "200"}], "]"}]], "Input", CellChangeTimes->{{3.417827204654479*^9, 3.417827226455691*^9}}], Cell[BoxData[ GraphicsBox[{{{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwd2nk4lN8XAHApUkkoS4okFbJk97XdY81OlrEvMwxjTahEsiRKESrZo1TS MjPWErJlSxSFohIisiUiS353fn95Ps+88973nnvuueedx37SCUsyMxMT0+BG JibGX5Fra3dzhd5pzttqHUv2OK1RwSa+z59CRe6sAkdmlLlQXejTAjHKS9TC vJk84iSDriuNOG1PakapIpe3yAgDajp60ouV0omQ5B+OKGMjdI5n/dl6Xjdq jWngzRuzRGmpepqrib1IfplPLGO/PWq52mWw4PUVlfI+VfBSdEezsexjoUXf kC85fEX7rieKaKCKL+YNIzZXrhvpfD4oDf48/Z04hm6LcAmeOh+IWlUvPJ/0 mkETE6TdFUfPoEfqO88rUmdRQA13/s83oehXv8ftkKJf6Fj4ZLGRRxg6L8A2 NJf3G22n3rOQOReBbt0y85pJXEQNA1cEuh5Ho7aU/pM/vNbRvtiK0Zz5OHQp Pa31uiwTROnuqxRNiUeSFOQgT2UCXiuW5SNHLqGgzSnhQUUboGqVI4nN7jL6 p6dQM5u3EcTuHNFaSLuC+BvCdKYSN8MppVNeZRXX0IvUA++vbmODJf5thF0C yciF1O4heZkNmvaUlV+2TUYFG4TifGO3wN1sFSPNt8lIFupaxsO2wZ1hynXy 8xRkVL3ZbNRrBwhmpXn2BVxHsuukBd7ZHRA3Hrvn4oPr6Kqwa8cBdU44lrP1 af7X6yiEVHnKupETro7LLKmZ3UC6o4GNZe+5YL43+qrXwZtoaOozMXRhJ0ws 5Aa21aQh4bWK7DUlfrjhyD3AXpyB3mxX2rLJWRhEhWRc1jbdRtrX9GofmIuB y5F/o4siBYgss7xddvtR2KI91aFQUIhMxcm/eI8pQPYZRHgf8QQtXzn14jNB Adx1WK2uXnuCCqcvXizwVACbnK+PUP4TtKn0/m65OAXwUpDYnd74BFVq/tAy faUAsU6+vtu3PUWHrH1TL+gowt3tFQMLaU8RU+RJ+VmkBO/T6k7wFFFR8fuI U60qKmDzpChssZ+GCi96kIYMVUDOSjouboSGcpWMzVccVOClZtyWHVM0lJDO Ly4VoQIt5VHS7P9oyN2pZCC5TgXab1iMl+6jo10jP3TsjP6DL3WzH6lEOjr9 24p7zFEVDpww2trylY78ClTX1/1UYfstvh7iGB2RbPZP8p9XBbGtr1/OTdOR WcX0K6M8VbDj/533d42ODodfPvt0RBXy6x7FZewpRn3MLwdP+avBxea7jlw2 xUiNW4K6KVIdhu1TZF1qi1HHBofWN9fUYbFepjOjqRi5/bo8nJanDt9YUvLa 2otR7NtxPvF6dRgqp2Rt+4ivT3oYZcqiAVo8LHu2/MLXbxO3TLuiAY06t98P C5WguWU7P9dsDaD8NzLpI1qCYicuxYk90QB711H5UfES9LD1R2VlhwZkXRrc 8VwBXx9feOArlyYYeza4dhji6zeJLRxO14Q5+gi56GQJ4p233fGrUBOWb/3z 8z9dggqH48Urn2tCU0/G8wPhJehN/ZizSb8meDg+nPKOxddHP2gKFEIw5B1p 6JiGx1s7lP68AIFJxpWHTRUlSH2KUBxThqC7kutfxYsS1DEQ127chEAhaMe7 rJf4eV6MMn0ZQ3CC5XmDanMJEtLoVojmAZD+tFT2/kMJ8lpJzblnB3BUqP9E 4GwJumE22XDWDWBpzwMXi98lqDZfb8KUArBvXZ9N9E8J4jdYUvpzBuC5yKZT 91dKUMsN57f6twBssyJ38rGWovmx8j8CtwEIUX+Ub7CVImE1TsGZ+wA77umO b9pWikK/1XvfKgegWFzsr91RisSlxTb++ADAVux34Q5/KSJER4tXfQY4e6/p yguBUhTz/pN58nc8/oUb6817S9GnsMRslQUANRGHPS+ESxFrx2g9+xqA0R+V qnyRUiS3H8YHN2nBy4/2leGipSiheU7x8i7smf9qt4iVonIBEyfnvVrQflGy vlq8FA3534uRFdWCAakhXvKRUqS6y67zo7wW6MuLlCZKl6KfbtUUCSst+JH4 KldfoRTxl/Je++egBTXS+Xw3FUuR7ubAsi6SFuwcJHzqUSpF2U9EmMODtICj /IOKwn+lqIXpnJh5mBaMtPB3m6vi+Fh9MDsQowXXJX6WuaiVIpPl+KzXKVrg 8NzSkaCB42P6re52hhZ8tpkTRpqlqCBP9UdwvhbsElZS3INK0dvf1zkMHmpB ufndjAnsVf0phb10LQjd+9L8CZQisUx9x9lnWsBVw2HvrlWKrKduRzfWaoGK H18Fu3YpioK/D9JbtOCui4vvQ+wn1y07/N5qwTsrjzP/6eD4jj6ahz58v7K+ gSpsVlWWPTyDWpD0M+K2vC6Ob6KL1viYFkzzZDfkYLsMVnhVz2hBiHW46Qp2 gjxXUsqiFvxtctcy0cPxjvMpJa9rgV1izt1k7KGPDZ/+26wN/s2BoS3YHFKC Gzh2aAP3zYONv7FVo04fHuLVBhHeTVe49UuRZ3enabmQNpzxsX4nip16SDwk 4ZA2TNFdsiSwa87GZLpIa4MLu+/UAeyJ9v5aOSVtUOx89JoTm1dYcYxVUxvS RaXVf+H7awcnbe/X04YMUU79V9gnmsbkqaba0DB7YvYqdi089pUk4PESvo9q YXO+CLz70EUbxqpsSD/w/NwUFfsPeWkDZ3u3bxQ2jfqXu+CENkyuBLFvxWaS qDHaH6oNocn6phdx/I4XxMTkRmkD/Q1ReQ7H+47Qsco9l7UhZbG32wJ7Ln3b XHqKNjRrFx7Jx+ulvfOtOG+mNnzfZ2cwjNfzeuIN4vU72rBT4T8lPmyFGMF3 iSXasOgb/Mwa50fs6je2bVXa0NOo6emC8+fD6ftwqVEbBF7u43dQL0WnfWVo MR+04SDz5heHcf41ff89tv5ZG3ijIl/9VSlFfG7P9kWMakPtljnWGuVS9Mxa 69qZRW34diiYKIjzm62TpXl+XRtGZ43SnsmXIjvDtn8n2XTA98qEqr5cKfqr YRXgt1sHWmee7/pPphQZPeO7P75fB67xx/nkSpWiTLmBz54SOvC40/LkH8b+ Okw2JarpQP39Q93n8X48x3lGkuCsA3HNT2hzeD+3J6h5dJN1gI9d3mlGqBQJ sjBlWwTowKQms85XvP9r/l7aZhypA3PyrlwZuF4wDWdOoHwdUHqh8vE0ricW zq4i1Q91oOadXPyO7aUov/eAg2qxDvAMMnNkb8XxbX/cqtCgA+3kzqVkllJ0 oaymUPy7DtSSQ+oml0vQe5kLg/endMBr+3zeoaUSJFp0jF/0jw685xfcbrNQ ghpz38YLbdYFBe+vo9dmShDrpSHPneK6sG+p+lDUcAlKcGA9uOanC1aLw2/d WkuQ5lH2P+MhutDCf7tJvKkE/WLhbu45pwujGxL3TNSXIDu6oDftqi6IbOLX PF5Vgg6yKT5xf6wLJRUJwy+e4vpb5q7Y9hPfvzAlnze1BP3hrNO75aMHW624 1+KtSlDRaBNvbJAe3J1bkfQxL0HOVe1jgWF60MsfWKlvjJ/Xq++yUYIezLVu t5rRLkEpNTNv1h7qgfv1c5ob5EqQpJ8QwWNcD85OXg3X3FGC3JvDPWUp+mAb pLazG5+fdZt3H/e1N4Cir4kLhXl0NHpX2ugj0QC4x7mX+7LoiB10dY75YO+s 92S/RUd2oScUD4QbwHDNcntEIh3N/Hi1uz/bAD66++9JDKMjwbagIaNBA2Am EWoCbOjo7NX2YAkvQ+iyFGSp5KCjXLEhv/QThnBFU+VI+FY6amxcJLOGGsKt 32ODWqx0xLkmYjd0yRCYuHKkB9do6IH/WfXMIkNg2RdXRcT9yQezQyxbpw3h tJCw7IU3NCTLFZU2HmIEFWEF8hdTaaiSrVes+ZwReHez3je4RkPaTNIvCmKN IFLBcJXrKg1Zz/R/db1hBJoaOeTyizR0+o2yeE+JEYg8aL+rf5aGqi7PvKif M4Ibip7+l4g0pBetb5a3bASLlHnWxy401BGaMxjBbAwyopdrPjjS0FcvY5b/ uI3hs0ZfihqBhpj1H5hRZY3B/GjgjuPGNGTA7PotK9AY7MbffC1QoqF3f8uC z4YaA7PaTq0jCjTk8Iud1TYKf27f2FchS0O+g5US3MnGYH3i19NhSRpKquEN uUQ1BjXWvwsXD9DQ+7AO1lPTxmDo3RIxz0VDzkEHMyz/GMO7L6zyX3bQ0Kj3 uSNH/xmDZJUeX8d2Glq0k7D4ud0EHimXkWu30JCAclwGUcoENv2e/jG9gYZc f2tImvmZQNjkr+7hUSpi52Z6+z7EBIZ+cBfIDVNR5dH6YMcIE7j8+HHRta9U tCtA/wUlyQQiB+w0Q/qoqOWHmdEFmglEUQ+XjrZR0anNXNNbnpvAAbEb3veb qUjkUHdKcp0JmF9T4A1ppKJz7rYfc7pMQPxAj/R/NVR09Isr5dm8CRgqrR/3 Lqaiz6v72dGaCaQs+ZfdolJRwp4R6isWU5DPyWzofkxFI3aUxS5eU6C9SS0P eUBF6d2BcVMqpmCyqFFml0NFenNyEiFapsAtvFn5dyYVzXEuvFk2NIVPWru2 ZKVTkYnZWR42R1NIom0M5L5BRUyt0QUiEaagynZtPfcKFT0Z0zF4eNEUDET4 K+5cpiIHVtZJmSRTeMVk41QST0WlOgnyGrdNcb24o7ZygYqIJJPehgd4fPsk R7kYKuKI5gg3opnCqu+owukoKqLUpNbb1plCB0/q1wMRVMTz2drzS6sp7Pr7 MC0xnIrqV3i3krtM4WjI5Xcbw6ho739Zx4OGTYF35ns6zxkqeltyd/AqixnE e7cNtJ+koogucuxODjOIfjG2LyOQiiR+HRbL5DWDEPWNISdPUFGs9OMTDw6b gRPbZx59fyqSNQ3YKX3UDHIJrPraflT0xfdoRamKGVhylxob+VKRysPSf3WG Zrh/csmM8Kai782n7xhYmoGJcHVjIX6vTR1V0e90MIPFfmL8Vy8qQiwr4zbu ZiBRtNa1H3vyQHXigK8ZmHNrpZ/wpKIM7UhZ9xAzeJc10NxCpiJ9otaH8XNm INARZSmFnZf7au9iohm0texU4/egoiwnyV6bNHz9C46MPHcqShO4nlKaawb9 iRmP5LFT+v4a73xgBhfbLrq/I1HR1TQ31iCqGfitFdDPYsdbN9e+rTADqeKW OEnsGG7pcJlaM/AMqe8eJ+J4vb2hmNRiBiWd7pfp2KFJKzOTb82g2Px8+gXs YBNSkfFHM9gQNfzLFTtga6tH0TczUJ/0iNPH9m6R2bdlwgyuCxXrK2N7xKV9 9Jozg/9KqSJy2K66a9ebls1gal/6VsbnDsweZgc3mkNIVfW0Hjahto0tdps5 ZIwEvXTBPn5etmFopzmI/N7iH41top4eobXXHPq0P4w9wTZY/qecJ2oOMdKH hUewdZ6R5/5JmsM4pyWrKJ6f5un2x86K5vBetzDBH/s/BXmvKg1z2HbwXE4t tsJcxv49+ubwwHyfjCCOnwyNaeCsmTlQHG1lLmBLBHil9RHM4dPsh8Q57IOS HRbKruZw+Fu2qi9eD+EJhW1pXuYQuvbk4BQ2rydzlFWoOXT9KzvNjteXS9Rb tTjKHGTjaFUPsdmHOuc5L5uD5vlVJgucD8wuOd4dGebAwZKsW4HzZ23PJlGp O+ZwSKn/QCjOr6WPPl+uFJnDZ3PLOi0fKpq2UbEyfIHvP3l+fhrn4/jO29sL G8zh7rNu7y6cryPvWFpY282BS0XAqQbnc79pt3rjgDnMn3x/morzvWeb6qLI d3OIVJ8/X4r3Q1drHj16Csfnk3NDHd4vLXoBh9A/c9ha4lk7H0xFn3I3sX3e YQG7vzXXV4ZSUd+aMpl9lwVc07/zff0sFX1w8q1X48cWS6g3wfvzrUDXuUxh CyAt3/dew/u3Ke32L1tZCxj+t+vBM7z/i5NU+7ssLcBGfGP+pWRcD7I4WCoJ FhDHNN1zIJWKOAuHpPMdLIB6N2Kk8TrOr7qEmBMkC3jiIGTJfwuvx/wncfYg CzCs3sC6MZeK7tiHh+qlWMBEsJbvAK53qaJVPM86LcCpIC5Wt4OKtGST0e1u CzA+mh0Z/ZaKZjU8vON6LWDb+May+i4qMrNlr7b+agF8LE3Zx3upaGuCk8ev aQvoHf67IW8Q74+Z1WIJjuOA33Nl53/j/K/UsMgxOQ5Rx3unUzhoqNShmfmj xXFwaS3fxcJJQ3+WLcp22RwHiWDet2fxeROq5iFw1fk42HWrjHvtoqFzVQkj YQHH4Q2LWpeNAA3F1fSG2iUfh4oqq78nD9FQev3J/J3vj0On/JPeUERDNW33 5i47WsKRlz22GsE0RON/ezLC1RIii45p1ofQ0F3P5dlAd0tobBPZcuw0DV1i Np+x9bWEmtntKhb4fLZSXfp5MNwSbtpNnXKLpKEfD42+12VawpvN6fYhV2ho 5+WZ3r8fLWH/IXqo4V0aYu3dbTv12RK25JuO1xXQ0JKobs/gN0voDj/w5L/7 NPSlNv1987gl8N42ETz8kIYKl7Te3fxrCXV9k+J/n9KQJuVGm+xuK7BwW79w upKGKMf+q/a2s4L3eXKWL97S0JTY7ld0JytQHC+Jk++ioaCtf9v/ulkBhWmM WNRNQ+Fvng1c9raCI8xty9d78HlupbL6MMwKunUs1AgDNFTmqqw2kW0FC1+Y Aq6P4f4hVPG5zzcrQKlbDHpWaSjenqeu+LsVSG+ffbrnHw2xqy20LI9bwQOT Rj3XdRri+VfalzBnBa1nf/0Z3EBHYrEKS0UbreHV0fNcHbifMkuWV/550Bqi HwZHm3DSUVahbJmvjzVMxBREteyno6aP7i23A6zBYsOud60idDS3Na2/O8ga 2i31drUeoCMj/+UN6uHWkP9xwK/uIB0tyzaYsV+1hk1EX/UMcdwPvrD+8fiJ NXQXkjeMHKWj2Mm4lUG6NXztYWppkKUjmuBzDp5yayiI2uqdL0dHbFGCihE1 1pAZxqdEUKCjCt3RaNNOayBO7/5+T5mOeDvO7JmetQaVgIEvAxp0pL3+UFpk wRqU7B+PZGjSUcDRAS3CX2vgu3uiwhrR0atUoNRssAHuJ/G1DUBHIbZbypK4 bSD+6CmzeB06yruk1lLPawOPVpSK5HTpqP25f/8fARtQz/Lq7McW3du1wfWA DVw7H3/qsD4ddQ9mmsko2AAaHZQsMKCjf1xviO4qNiBIVnmrYUhHEjrrIbfU bUCRdVjtA3bMPfesdV0bWP1w13fNiI7kfCR/dNrYQEVfp5i8KR0l/66ODjxj A2dUexQVjtORf1cy0SncBqzOdV++g21Ed9cyiLSBm5Qtvzks6YjlxJYNwvE2 4BPXzjqEHTZhHdWZZgMK9X7opDWOd+thtxeZNiCgPWnwFluxcBk9yLWBe0v/ fKRwvz1Lzls/f98GwnaGLX/DJn/7eV663AZKigcdFGxxPGtrXAQqbeADj5pa LLbw7RRN1hob4LxgodqF/clJ+d/nVzbgLGWTTrGjI4u+mIjEDzbAm02aOm9P R1IVNs5nP9pAi4Tc55fYW9PENMifbaDwEMfvf9ivrDpW1b/j+fLduHHGgY5U O3efm5y3gf9UDVssHemI/+mkY9+SDTyObtxwEXvh6ku1xlUb0GwapZRh04zI K1mbCHDu+s1XnE50lCiu0h/PRoDL9QPVatg+bNteBLMTIEQNxj2wDzbRwox3 EeCh7bsvdGzmexcclPkJYJn//NEH7MELBNUDewmQGS1PX8SuJokL7BAmQIlx 9iyfMx1laq3+XT5AgNeWx32VsEOFOz+OHibAzgmqiBW2zXr+864jBHjhwcMf gM1ZfexskTwBpix86nOxp7IE7NOUCdBL2RVWit0WNqUSo0aAIZrqqRbsQvta /gBEAM1zqmWfsC+qXF+y1yGAuUio2k9sEp9nn94xAnQlZWxZxoY/Ks9kjQlw c8Zu/2YX/D71YVu6oDkBXGwDYrmxl0u+nNliRYC5vhSFvdh9qXTbBQIB+OPD 5UWxy07GKn9zIEBayHCMBHaqhS3fGxcCHC2NFpXBDpSRWHxGIgDVjkNADtuU Y62nwJMAPSFaZHlsianO8mQfAvjv6d7MMFv7nbRzAQRQcQ3fKIv9vejUaUoQ AdYt5+ylsK0F/30pPE2AU3mp8YexG6/FHRsPI8B4rXHbPmx55h008UgCKF43 E+XFvhNyi9/nAgEKnjfc2orNPbYvuiieADkc9w6t4flH2xeOT1whANmC1D2F Pfv6qOWRZAI0DcflDWC7aT6v9L1BgHip3ORW7Lc0rQOP0wlwMlX+PiP+6EDb lclsApic6RrOwX5603JeMp8A34DV5CK2EFu/k/89Avy1cvjmg50U5v7qyUMC OPI43DfDXpv8KTX9hADvxpNzjmIPvFv9F1BOAD7Xd5IzOH9MdC96USsJcLb1 V+tr7Bfl29/O1BCA89Ppu/exM7OE8gObCSDT1Mtji72V48EW+msCBF38WyKJ fTZKJuhXJwEuaQllMGHbkUEnqI8Af9Qf6NzF+d/S2/KoeIAAFfX3OYKwlY2O 7/o9iMfv+noEYfPKkL4HjxMgVkCR8h7vr/dLF+JPLROg7MiE0k+8/3R92WfL /hFgV5/80GPsks837P4w24KolOgfP+zU+nviZ7bZwmt5CY8fjP19tfl16F5b iBcRoLbj/V/7z1zhubAtGLV5LkRjy5zsy/4ragsL+95XKWJzEMb9w6RsweqT bn86AdfTfds4z2nawnXaxCNTXG/UU6+HVmnbwthkocUirk+PNu39tqpvC27f R5NuYyeMSxZHmNvCXFHgyE8rOjIoMbOOdLMFpNRgFoLrXYN+anpMjC3QrtYv 6ZvT0YjnizdhcbZwp1l8cMiMjjbFjzAHJ9iC9593LyKw9ZuV/N1TbeGA1FMH Gq63bcf6tXTv2AJnzKWYLSZ01GUg+pOl3hYefbX7lIjr+ZBRucblDXbgPx/X +QufFxt9vwZFs9jBRpW5iyexRa+wFZ7dYgc84hyXZvH54vnagduHyw4iz18I m8Tnz4Tx+qjRfjtQXNxIHlCno18mBsnsWnZw8pBTWa4KHTGZfxq6FmUHZbn2 hrUyeD1rbA6ExNpB9mumLFnsZOl37naX7CCv/VHqHWlcfzlaRoST7SDIdtf5 C1J4/78pG6XftoMLGzdf1jpCR1HGKRPdNXbgsZKVSDuE729gMMe3ZgcVik5C voJ0tA7lG/LO2sPjwt8a77bSkYPuWFtfhD3sekcdkcUuPcZ/gyvGHlqvCrSm bqEjilnYoQsJ9rDe8sPahg3vH0dNY88se9Alr1Z/ZqGj/NNNNySr7cHsYF73 GhMd6TzuOfycyQFu/v2qmbBIQ7nUzb9+bXKAB4uzf/78wf1UsUqlxBYH2CQr LeuB/fh5pkk2lwPQV8vlYYGGdjW7nIwUcQBlr/l7/+Zo6Pu30Uo9XQeQSSlu TZvG/Q3fomlXvAMUfnbcgkZpKLWlZbj+igOYET80N3/H453NPFtyzQFsmQdF jmOX92vcu3HLAZLqq4rJIzQ0cjt2lfDAAXz09hPShmhIS4z7UX+TA8wn3Yjn /UpDJh+Hob3NAQbtZWMffqEhu4SynqoOByhL/H5EAztw0o45t8cBOJ3vRHp+ xuPRbtu7jTrA8Q9vTev6aWhFRYrtO4sj9Km6SKX34X5y4l/Ohy2OcHQuSEEJ mzvrrXzTdke4dCTl1/teGpJYC3Z9wOMI5V2r13Zh29VVlnsfdISIZzv9sj/g fs/QgDyt6wiv2gx5OnG/eMLBvX7xgiO0T2ZN1b/B/d3tiUH1S47waM3SKQi7 aPjkevRVR8j40f1UBHvUL0qd/aYj/HqWuH6xnYZcInPKhe/j5/vPwdL2NZ5v QW+RYYsjeEYIvRNtpaGJHy6tSe2OsNjKGz/UgvtpqdGx7rd4vGExkXzshvJ5 UZePjmB9+RfrfmzVVq7bQROOYDJ0Ku5IMw2JTRtfz2J3Apt1axXfVzTUJNdN H+R0AjkLQUllbI8zDm8P8mDLGTJvwr7N5L2dJugElNxj1nmNNMS7My6+UdoJ eEwWLww34PcL2+33t8g7gVTs9qhybMvsG41myk7QqOHvmICdePDuho/ICSKI YU8VsDep1IZPWThB9O3hyuv1NHTn3LFMORsnWOBzue+PDXUdz87YO4F/FVuA AXa40eeFDSQngE8bk5mw55yWT/AGO0F4HR9HeB0NJedHJzmecYKQtuzXjtjS o2xP8sKdQKGo1k0D2/sE34RErBN8Xbi0YyP2YLSCB7rpBA/mbwWk19LQQV6O pMAMJxAuTTWMwvYpGqvIz3ECzbIPMxTs312Z2zbdx9cLN2SpY6t4hSgqFjmB ccuGvMPY51ZMXT2fOsH89Bu/ndisohtKWsqdIN7ysPPUSxoyfvZp4G+lE2wZ gMh+7GSTUtYjL52gPoLJqw1b4JSXQ2KzE7DeTYgtwnbdohVb89oJv599e5aF XZAj8HSm0wnK5/9QE7Glmt5ssOzD63Pv9HAwdpDDgyMXBpzghbC/EAW7fDrK pnTQCT6Pqu52xl6JcYj8PuIEQ4KHui2xgU/hIe+4E/BPhhgbYl98tL372JQT tJ3xjwbsNjS2GvrLCZTf24WoYO94X3uoaMEJSGe8D8hiW1MyLfr/OsHlUy8T JbAzVoPD2P/h6z+EFYtif0k2LdBgdob57BfJ+7BFDh7uCGB1BqPu/MN7sL2e My3d3uoMDedNT/NhPzb9tP8dhzP8uPclfBf27LcSY+adzqBtfkqZG1vxdOIp eT5ncIyWLeTEDtvqddtjjzNUacu/2YH9Mhdab+5zhpmMzHsMb5IX+N10wBnO J8YfZVxv0Px779JhZ5g9IODPhZ3o+EZfXNIZ3rkHOezE7pq5H+hw1BkeWtEW ebB5Y6Myryg4A/Pyb53d2I78Do1VKs5AdnbWFMTOeyw/PaXuDE6x7KP7sb/D dv59Ws4ge2an6mFsiQ+jWhZ6zlDJQ/lPCjvAu9Y32tAZSiO3D8tjl6xl3Cw2 dYb3ppuV1LCXUoJfDh93hk5+e1kdbPVDpuO7CM5gf5b1vTF2kxmTxhkXZ5h2 jtnmir1t+KNnIckZ3Hfa5XpjW5wpSf7o6Qyqdbfeh2B/vO05onbCGUYo7ocZ +SKkABz+wc6w78YfrUxsUstuldwzzpAiwLz6AHtytv0KU5QzjGclG73Clr14 v0w21hlUWgQ+v8c+vTvqK+kSvr74yLbv2Eza8vKvkp2BqD2tuBnn+87rGZ8u 5ztDGHd7oSX21g873wXdc4a7WnvSydhMfEnNjg+dobE2bPNZ7MnMmFIpOl6P 5WlSPnbTHd+kd7XOIBlsNL+IXTXyPbay0Rk0lSpfc+D9WnzILfxuizMQvmnv PYR9u8iacuqtM2SpHThIwA4t1tDePegMowpV1S+wA+YrVJhHnCHzQbReD7aH kpzMzzFn+NZjgX5hH688tLd6xhmE9HwviuF6IlG/44/bujMs2ohpZ2MPvPv2 sFDIBU79iSm+hetV106nvBQRF/hZtWH6GXaLTU9a2CEXaHzAkvgJu+xj2wUT aRfgvLLySwjXx6RvJc6zGi5w9MB39cfY8Osil4qzC6xurmfpw/X0HqfE2eYs F1jsTRz1b2HUK/ulTXkuENKufy4Hu/zF5TPaBS6wKXDM/Q12k+f4qerHLjB9 T0xUGtf/H1WFQSXVLvBisfDYb2xJ78N+t7+6gKemLfcVfF4U14m6njngCnFf 2C/+6KCh2qB9eocfuQLq7CHt6cHnoXDeXg1rNyAIHPMtGqYhjgTZFimCGyi2 dn0YwI78XR8sZOcG+/pSBXfg89it6XvbuqMbaJvkawdji/gdOVvv7gZTbMnv /8Pn9/2K8g/Hgt1A4UlowUt83j81e5NkmeoGWpxpUUXjOP+euajq3HCDuDNL Wb3Y1/bPfpdPc4P8kxcvbprA5/U8twZPpht8NzhV54wtl2n3szffDd70s77b /hPH4/vwMWe6G2yr3LHoPklD1eeWmShv3aD12laBUdxv/KGOzsZ0ucHfoKHY HTM0dHS4azDnvRvQ0w0LVbALDB/Vdve5wfS2Ir4E7ARepyj0zQ3k5OeSxWdp iECrXuedcwOXlBtUh1+4Pg8/nJGdd4Pi4QMxkditvGlfTf64wcm/3WwF2OoR AS9jlt3gEU+Y7CS2iNG+yGlmIrwXaPsRivuhmeGof692EuH5GXrbhd/4vOXz nx7kIcJfiWdNd7FJRvZfVviIoNy5ENyA3UOTrZHdSwRp1zPfNszj/I8YisgR JcKpdo1N4diX+HTXQhSJsOSNDF1w/1VvdHTqmjIR5i0cDM5ir0Ts/Vz0HxHk C9b+XMcOGJmvGtQgQgq5nNSCbU2/d85Enwj+0l+CpHA/t9948+oBWyKIx5L8 f2ArfNDpErAnwm6NhxOr2PquUYVcjkRYF0jez4X7Q5/gv9brLkTY0BZepYJd mvXzySdPIqheP1sYi910UCz2HYUIstyB82nYfVQPhxYfIrTWRC8XYq81fGYt DyCC4kEFxXZs/clO15TTRDj+6oLnjiXcT51mV7oUSgSqOfPFfdg+TIbskWFE cODkc5HBvrar/pnfeSLMPAMww+5TL+UyiMPfb5VtuoQ90TQ7pnmJCKZ8o5Vp 2KsWUjWKCUTIzy/0KcDeT77vcyAJxy9geqWGcf/E9IZ/N4nQy3JrfBb7HN+H jIVbRNhp0Vu5ip2UzxU4mUGE6c/HDdj+4npdlrD3Uw6OV8uVdCHs1c/nTpXd I4LYrCS3ATYH5bnx4wdE+BJo33oce//cwv67D4kQrj6p4Yitz3qiI/kJETif fXL1x74mTTzsV0aEPQ4LCUnYd57lrJEqiNARe1I2DbtU+1O3/XMiFKVkpOVg 9xGsoo5VE2FCtCvnEfbE4DWC5ksi+OpaQTH2mk+7pGIdEX4+Id15hi0SqfdR 5BV+vpTt9xuxFbbEUHc3E2FjwW6DNsbzXK+5yNmK11v+ZlEntu8DZbl/7URQ WnpB/4h9XjaEbaGDCE7NvYQv2MkvaF9+vsX5q6tbPcR4vk7xKx/fE+FTxGzH BOPzA3X3lnvweIuvm6YZ9ztjV7vnIxGixbednmOM93rmk3o/EebeLAwsMJ5v X/yC82ciXM7pXlliPH+QEGfkVyJYHZ/sWmHMt6lMIu8bEVzuxJP+McYTMNWr GyZCheFUEdMyjl/AiOvQd5zPTOTHzNg+9eFhG38Q4UqkktcmbH3enTdFJ4jw 2+FsPwv2fp8iqt4kEdL2G27ZjL1ardXmOU0Ectf6LMN9XB9H4meJANGLqWzY JeTA9cI5IrBpJ8wwnPR8s0DbPBEyxbg3b2GMt/22ws8/ROgzGP/I+FyfqGTO /pcIt8u9KQzvL3vjLbVChHcXp4r/Px4bOdZsjQjGbR3PWRnjOa3mnljH+XXL K4LxfCW068+TN5Agk5n730bGeJuOvKdvJIGUkJj6/+dnVz/dxUKCS/82qjDm r/fYfsv8ZhJcrlj/tYbjI8z06wDPVhJ+3znlw4jfqtUlTSV2Eqwxv8xnxLf3 wT57Ww4SyFQrpTPiX7xSHhzKSYK420pmjPVJMjdLyuAmwbdq/kbG+nnf/V5Y uYsE+ySVlxnrK2y868sqPwmajqUUMtZ/NffRkuAeEnjdubKfkR+9c9o7kSAJ FlZ9nRj5k5R50iB6PwleKV3Yzcgv72k29zsHSBD5MSa7FVtXOy+i4SAJ6myZ hhuwV8Y7ilkkSNDsz1pVgd2j4fnmkCQJWFptzemM501ZGzsmTYLncc8eFGFT /pMUTJAjwSnafw+zGddfuhzPoUaCdn/F5QjG9QPCd2Q0SGCauFp7Cjvx6LMq C0SCQ4J/zBn7T7dv9FeqDgnY93G3MPYn/bCuE58JCSzynkgqYV9t+ndU2JkE CT1Okt9wPYCTo7KCriS4+eNrQA/2/J4OOQEiCc5xfo17je10MkdhF5kErb1t KmXYUnvVVdj8SWDFl/00Drvj5Fk0e44EE6tMIiLYMbjWT50nQd7Mg+Fd2ErN BloTUTieTfujNmPn7uXXGYklweKRTcaTuF6eaC7X77uK4yNeI1eKzSk4b1qb jeOb/DlbA7uxud+sOpcE51dZVKSxQ4MazCvzSKDv+q1ECHuwOfV4aQEJEsdZ zNdxfacHydoUPiZBlJTd3pfYli0BTslVJLhvW+z8H/b14HEftwESOFWIHt+D zw8B/bCTVl9IMCDnx7cF+w7/tlD9QRIopbG//oPPp+JqyYuSIySoUvu78g77 7ebA20s/SdDvQboWj82R/ac7eQXP//StdzP4vLvUuFGjTsAdXj0c/lCOz8tz PEI7ROzdYZtmLO9RfB6/oW9xQI7uoKCuu00AW8hsocDJ2R18cjiYN2G/jGtX vUV0h5dDjou9+DxnXgrzZPdxB/I4nSUKO/5Tb/WfMHewfaW/9Bb3B6m3U/xe Z7vDTduiotApGhpWi6j4kesOPfK+ke7YCn0UZtZ8d9i7rczNjPH/KJyQDvfc YTBlzlAUmz9muqHsiTt47fZ+8Rb3H7kexnvyatwh+SjVVRL7oThLW8igOwQk CDrM4v6la6/Wiv+QO1geFo7+gr26I0LSawRfX1z9vB3b7M98kv0Pdxj1tXV7 iD1fP2KlOesO7CrCl9yxwanx82YmDxg81Bvcj/ulvqQLvzL3eYDjhem6Tz/w fGNeitzY7wGF860nXmMfObVilXjAA5xIxgpV2Ocdg8sjD3tAcJz1hlxsUTH3 cA8ZD2gJ3/SUhH2iTptFGnlAX1q89+wYfl+d37C7zsUDTKs7+ISwl2jpSSNu HrCxWaOWE/unv8wmNncP6M2Jj9uI/XbMacbMywPQ1TG/cdzvZfZXvBo44QGd zuF3yrGlG/yDlqI84Btxaw0BWzhq0489FzxAt0Lc2Bh7p0aWM7roAao1/IuM 34eWylsM4i57AO+Fe4/EseuLDuzbleoBNZq/4//h/pKQ+vG1zF0PKDnEw/UU 28A8UMvqngfsLuJPKsBWY99ccfqBB9iGI4ksbOE4hTvVjzzg3urm2kvYE2ev hRqX4u/rHiSRsQeUDk0HlHuAkvDTPifszt9V7qnPPMBy2jnAGrvUf8LsY5UH rNvzL+pgnyfqHfR65QEDCtoRotiBQgOZCc0e0OVjMrkX270/iPNpqwdUxBiG 8TCezyZvZf6NB/w1Z/7Nis1tuPIupscDhuVfEH7i/vnBUfr53DEcD7+koefY ATy//laMe0DdQphtKbbC8tFT7356QMP32+NPsWsbaL6bZj1gqMCaXDDC6Ado dj5LHuBtUfYsmfH/3mqz3ReWPWCshsZzFdtD+Kh5zqoHbPrpdS0ee3acqveW iQwZgkN957HZIqhySlvIUL1q1RCA3UGceWK+jQw+w0wsvtg39GXEvbeT4dnw T5IXtjAndV82FxmOBAkFu2GPzk9nlu0kQ5uw8kFn7McfpXk7eciwLn70tz22 yt2n7MwCZNidSB6ywv4XPx2/Zy8ZwjYHbzyO3egnvVFRiAwkwY1ghm2h9PSv lwgZap1Mtxli8+6ZDokWJQP1fl+GPvbAutRs5iEyCLy5pKOLTWl9MvpGggy2 Bod+IGzpp1PEMUkyWNlvHNbAnk+V+swkQ4YYxVdLatiVZ/ztBGTJUPDCTFwV O8rpSbe8PBlOt8WEqGDra02ZmSri+YLuJyVs9kNSbZ7KZDi0dspBETt95nFt hhoZLjaUPZTDdnk/qVaiQYa5hMuhstiizyUr2hEZ4nfaE49iT+T4yY1qkWGD +mYPGWxazOMn6zpk2Dd8Okoa+7TXpNhufTLcHksol8JWN5EskDMgA4gdYmWY WdZvn4kRjseFIycksVt4HmeSTcjwpS/i1xHspOWfPJFmZLBjZUpk2PrrkZR0 CzJMTdzQYlig0Ze92JIMDuR9OxgeLHwU/9qaDK7WMQsS2PcTfzJ/J5Ah/Wb+ PMN+QUfO/7MjwwA3hZ1xvZyt718+RzIwWVeoM7yk9ihE1pkMh10CLjJcI/xz xsiVDCFKfqMMx7Ic8fUgkmHr0DVXxvMaTfiMRriTgd3z2SzDnJ1FxFtkMuQ2 N2Yw5tdTMjFA8yLDt203HBjxyE6XsGvzJsOyMos8I16kCJ/uYV98v+OLIox4 ipOKzNb8yaDkZCjBiHdLjipt7gTON+1vCoz18PzYxvXjJBk83qRbyWMXWPx8 33WKDDcrVtoZ66dzNVyp5QwZHl09eVgZe6h5W3r1Wbx+M1k3GesvjCQdCyPI cNf47mNGvrwMq6rKicTxfW5kw8gnl3IToevRZOi6rcbFyLcsKf9vERfJcEf/ ar02I1/3PvWySiQDZa/eZmPsMlvNVoNrZLgn91nflLE+1zskNFPIMPP8dbo5 dsrWmSmxm2QQilAOtmbk21+ZkH/ZZNgftXvdBfuRQu2H37k4Hi0KHURGPAMt lMfzyPBar/qpB3b8WOBydwG2ev5dH0a+9NCjHj4mw5m2WPsz2Plc2kO5T8lg 4PyRFoYNpl06N2hkWB2l8zP2f0TjHGtkKRlW1gN3X2Ssb7F8onUVGbKaVz5d x56+Vpax/hqv10+kzahHia/1cD0jQ1/JwdRn2JKbe5wmOsngZnhxtgrb+/yf fR+6yZBGle97xfj93k/5flE/zmeZT+Z92P2Gz4ttfpLhTdZawzq2tnmB3akp Mlyx0HJiwfWxyPravxszZHgoIbhxG3aYK9no/W8y/DaZD+f9zvh9lGvIchXP Ry2aRxrbLs+by2K7J4gZCza4Yvf82R1oJOMJM+yyg6+xu+6GSaFgT+idU5+q ZpwvJcfVReY8oUbn0Z07+PxjV1Hq2DnvCevX+n4+xBauEnBj+eMJn9/0ytKx DRqHL/z46wnaf3+XvMTOeH/q9dMNXuC+VTVpAFt1IcNBjcsL7GW94nnw+XxO aSjU+qgXbLt16dcF7OTKpq36cl4g80XjUQJ2geajbGUFLygf0XNNwW7XD6kV UPECitu28lxsQVtWtm/ICwrJ6XufY9eckbjlb+4FLNqCLyex158FlcUFeMEr px1DZrg/GGAtvnIn0AsqLjLp22BXWv8i1gR5gaDitnxH7JDZExx/TuPx5BXU Kdg/Dvt7kSO9YM9mfZZoRn+S5rVbN9kLOmt+f6BhU0fuz7imesFCw9uCcuyr cqOvwm94gUH0sHcV9rEOj6CSdC8YqvXqacauYiG9Fsn3Aps9KUqM/uZeiFPE hmI8X2tp9i0/cX9bn2UlWOoFZgnWKhzYbpz94v+Ve4Gm/1aHndgCj+17Aiu9 wNaX7bwgdtIwQWaw3gu6Ci4ck8UOtTz+raYbjz8r/omAbXxUX+/cghdsDg1q y8Bm+vBhQ8gifl4xYYccxu9DZ8k1vn+9YP8lwcE8bJGGWGXHNS9QVmTpfIC9 bNMgrspCgaS4sypl2EXhwLG0iwL2Y5H/dTCeT/ht2wwvBUYVxqXeYfO+co0f 46fA69oM/veM+XBEMvXupcDdMx1vP2I75FfPlYlSINPatn0Ee0uzam+wAgXG wyunl7BrfNuu+ypRYGqf/bEV7BBOBwt3FQocC7dIW8MetD/baqlOgXuZ9nzM uH98NlnxQlaXAjfNjt3fih2QcixUXJ8CfZGCxezYokq9CvsNKFAz5VfKgZ0c +ecJpwkF+Orjs7mxKdyKeTNWFIjft29lN7ZQRaPTmA0FKGyyL/Zgv3e03v3V lgJKJQMnBbHhXnBqhyMFdFO4GoSx+VWKY5+4U+ChlvvCIeyOAS2te2QKxLKX +Yhhx0a/W8v2okCKYnWPOPZs2+zpq74UyC76lsrof5udZbx9gymQu8coWxZb v323T+IpCty39x+Uw36lusmXeoYC/2V93q2A3cD30e93OAVsvdr9lLC14xr8 ec5TgCPFJU4Zu27+SYByFAUerHrcVMF++S4mMDyWAv29C9dVsTXB/2ROHAXy Rq9fUGP8HvjUNujlJexTbyjq2C+uSIZsTMTft1TdpYmtusx76uA1/H0U/Ynh 55QNp4+lUCD/Z0Iawq7Q6zlz5SYF1Ku3zwK2Umlt6JNbFNCIyUzUwi4TeXS2 M4MCYrpc+7WxFVJuhv3KosCNrvAihkvWI8N35lKAd21YXAdbLsDnnGIeju91 q9sM0wesI2zvUKDM4/1WXeyjxuj82QIKrEGgH8PU5+KRWfcpULp4tJFhabFd UdWFFDhhJ8yth/0k7V/U1yIKNMoZEBiWZBmP3vCEAgVM9GSGHwV3xxygUmDD S1IdwxJD1Rf06BSwTPP+wfBDi8JYrxIKDH54x6KPLfYy9eLlMgr8an+wm+EH UhFxjyoo8KZt8QDDh7K94t88p0CVUIcow/e2Wl6aeUGBTfzKexkWPat+masG 5zcL2srw3bFDCfK1FHipPDfNGE+EwHXFpp4CtatObQznN65cOdNIAZWCK9kM C8uPXs1ookBARAKZ4dv5bxNftFDgUS/5IMNCnC+SPrdRQIFZYoARj5zz966t t+P5mAxfZnjv1LXk/Z0UMGbJlWY4yzEsRecdzvdznm2MeAu0eaSSuykwzWTo zHCGivn1+A8UODx0fIyxXrd4RG++/kiBFqnt3xjryxvLkTbVTwG/8/0WDN+c W0rb8YUCS99ZnzHy4XonbiyGKOA9VuTHyBduzWcZp0YosDdUs5KRTymP72Te GqWAzXbyugb2tctnsvsnKLAslx/IyEeOJWLO2iSeT+W7bEa+Jnqa5O6bocB1 +de1jHy+orM/z/03BZwnzGYZ+R6/1nb35woFgse4Zxj7xfrG7oUV7NbpmVGG hY9Q9NlXKTAj8foLw5V2LOOS2Bza5zoYnixB0gHY4tMtTxi28Cl9NosdYsnu x7BAb86bhTUKnJ1VG5PHHvWfFGL9R4HCl1+/MFyySS2QFzurKbqHYRO5Pm5l 7CPnal8xHJnIbReKfemSWAHDIzrxQ8vYH1XvujFM+/RBfts6jkeKhB3DESdF L+7B3rGfZs4w7+26w+rY6ZNlmgwbLq/4RWDfUnq89/+fpxjVJGKn2h/cxfDQ 4Ywdudjx5dnbGD5no1Rcg10tFLfMqC8Gk7EbO7GlJJZ+Mcxzodv6K/bCCco4 w0O7Re7PYEvP9vy/Hj2lBS6uY08X6fQx/D+/u9fA "]]}}, GraphicsComplexBox[CompressedData[" 1:eJw1e3k4lN/7vyRt8tZCJUqISLIl2c5tzb4b21gGYyYiibLvUcpaSRTShsi+ hmizNGZMJYkKiSK0WLL/znyu37d/uu5reM557vO6X8szj/2upy3I7GxsbGNr 2dhY/wsnL9/N3stUzz63VnqP+2V1g8b1JiOU/+BuodjbDYuVqHOL4kYORyFY 2/NyT0/cU6SZrNP80PQgnIRr2+o+PEfkIwtbZLfIQAyn9y/3h63IWIL8m++E Aqg07mKKJL5G5e/CAtqVlEDw6knvqJd0pLJNsoQjQhWcGg8mPXjahSiLabfv 2wIUOQ1Hm19motOvRuVLjDXhwDfxs6PVTJRgz3lg+ZQ2UNYlPk0xYSK31hAP Waou6BB7Nuy60oVa1u8297LTA7rLzPp4CgPJbo1M/+FvANvMmuajPnci579q UianjGCpU2yUuUhDudkvBeYSTSCEzSZx8QENlScp972xMAM0dv+5yzsaOluv ZnbbyBy+SEbM2Ol2oqaO+38uOVgAZbfg/W1DnYh64njjSVtLcON/YK7rQ0dZ +bJVXp5WwHOo6bDIMB2l/G2M8j1vDXIDwun9BxjoW2HAOaofAR6wH73jqcBA z3XTMqKjbeBMcAOHKD8DsZl+HEqOtIUFnndsk9/paBWq1+QG2YHG4pKldBkd xe+cM34Tbw98Aa/2ohA6Om3v9mwuxgE2N0wnC9jS0UCUgju6ToTTQ/vHbXXp aPvVmx8v3XEE63NOVaUn6Og+j2RQa5YTqNyVy19nTUfNfvt0xB85A+d78hlJ TzrKFsoVULNyAR67HI/ocDpqDF1go3a5wJrr1379TaKj/Ybrl0RsSPBt9ecF 3Uw6qmRIXO59R4LdNlEWe7Lp6MqrFRkhR1e45r2/+lcWHV09+8PTpd8VGBsd d/y8TkehvHv/E7ZzAxH1jcpUfL0CiXUd/gNu8C8nOC8jjo44p9fsbnFyB8se sXTuKDp6KFMWnj3qDs+36y40htGRhGuhybI3GQ4lRBTL4bpPv67cepwMjPea tjfwft/cDT6MznpATWj0FzP8+/8qzFWF/3jAYc0tYodjcT9r/arifCgQ0jr7 5B5ez1BGVyd0hgJBu0LSwi/SUavjkZNeZ6kwYsnHY3AJ93u54+74IhX2GFx8 eQzXj0t951ZXqXCF8XiTAq47UvvOfKesoid2g/edTR8hoeWaW8uKu2Dq5Iv3 4lX16CK9cdiaIAox+393l/a0ILaIM/K/kCL0vtB+a6Xcic79tdw26qAM5FMn DlwX6kKxHAdnxDPUYaGOqfJeiYnGXRqpkpYa0LvvD/ehCiYK5TkvRXDUgvw7 r4J0rjHRLE+Lzg1PHTCVS3aYm+5CaZQOB7rLCbCOYqas3deFgq7QzkpS9OFf A/qamUZHeuzOg1m+hjAXKpNw074TsbVH3RMOMwbD14JSbE00xO50+yT9pink k9HaJ6U0lCbawFvLMIPCFo3dLus7UcazM3e2vzOHAyFy+yvSOtH2S1M9870W wB0YI58jSUfsgUfrPActQfnmDd1fj+mIj35+z+QvKzDoLn9ydzMDKTN2h/6c tganwLRroXIM9O5fTHzAAgG+fjtr/v4QAw0ZVKtdWmMLdt9y755fy0BaRe/F 69jsYembOueNa3S0qHR4w7d1DjDTyvsjikJHBycNr2ZxEcEs5GdcuhEdBW+i 5LjvcQS1Y62P/mnTUT9zsCB/rxP8oWlEImM6Km8RdT4v4gyPuCsZIs4YDz9v OH/f4QJG9p+j0vzx+Zp0JlmkuQBfWzHdNp6Opr5GrrzcTgK/3KDqKxi/nokZ z1euk+DZz1bphVt0JGS44/PSLleI2VLlW3+bjngEp42bb7mCvNREjs5NOrr4 Yq1aC78b8Ngn/1DF/U/LST31+pYbjHPQVWwS6OhDUszvzH3ukDJ+cCUxho4I ab2vj9x1h52mrjc2RNARtb14pFOSDAZjRhoSGO/s78siC4rIcIEZfLMK1+9n d/saHPGAcp/LNR/xz4cqDgVayVDg4rZjhJALeN79iWFryinQMPU5rwzfz8ZW 5Z6zClQ4Fm8uvgbj9+HhsLhHNVSIMxyJJOKav+d258wyFba8VZk4iut25Zi6 n5Qp5PTw7yOjglw0NPGJFDizHWpcogM71tYiycn52SI7YejZsqw21NWMxKy8 0mK0jsIbAXeeAAoN7Rj+rmVrcBx2F3vIWCUwkMtmCYv0y2owsxi3uZ+NiSSk D6793g3gVf52oO0uE53zOlIa3a0JjQxDf+dCJmqucjvaMa4NMle2hx4TZaLg nSKDEcO6MHtw/1indRcS7PAbMhjQA/6X54dz5+mo4dLUk2d/DODDPfOIuRud SOazM7V22ghcwykXX/TQkHm47POh7aYguhj1+Xg+DeXZhQTqpJpBah3HzNaf NBTX1BNom2IOslvMY5heneh7gcG3lkwLuPtrkesFJx1VOR9TGbtlCaEvEztG kunI9onV96JiK+AWXlmKw+uTB8fDpautoXvqV27qYQbG39KKTzUBZPSfIoos A73REx1f98wGVkTE93r+x0B3zr26JtVoB9emqidT8uhI4+C2R32vMN7juU36 fenI6F5PoX6bA0QedeIsNqejw68611h8IIJ0Q88Xfh06CixX09w94AirRrWL BwzoSOqk+KmcL06gGvaJe8yOjpwfiLOHjjnDvcWsDeTTdPSgprr7xFkXOGCn YsbDwltp4yrfHxfwmvS+GozxqfuT4Zx6jgQX/eQc32H+9tySozA+SwLxzsKL Apjf6WeC0K9QV+Bw4z9Thfmf+9bs25RFV1DqebFLEM9n/MeextlgN/gdeeCT 7RU6AuKLT+vZ3KFPVN90Lcaj9HNvv3+R7vAzUF5xGuN1Q1iJnOJGMqg7Lt5z wnjmE3hMsUwkw6fP9C4PXNvmntxqtsUDkvc/rpTBP688c9NeZSsFor//2PIB 8/mbdMpu7RQKKGxcaZPD+C4MAe5/O6jgMjgm14r5vEbn/fnL16lgkLi9wR7j 2cyzsvbXEhWOn3j0URHXu54Ha00kroeD2r5ap8rLUG/B+XdE1WMwPScwUcWB 55P96UCAtwoIDK0fNPbvQgXLYhl19xD4H9IVFKQwUfFVC/qpLg2AL8vZYXVM FFPVlC/xTQtUKm1X7QOYqNtEbN2mSX2I1Es8+UWejt4F0zkDJg1B6tCXu8li nair4u7AlXUmcN/0xebZYhr6mM2x4dN/ZqARwptU/ZSGoqeWyiW5zWHhRNyj Rwc6kTr1WofsbkvgvP4uVB3zmUmK/LHxA1bwftBddddrOno7kGlyRMEa9sX4 qHhhP8HTeCKoUJ6A8fJmRx32G7R9m3lC1W2gz4F5fUkE+5HBkXodbXvY97C0 2Qf3r0pfjzyp7QCflbhfqWN+5FBqDpkwI0I80/PUWz06emXCpnbeyRH+fqPv /YTxB78vbFVydIK6u1MTI2Z0VP3t6wnHMhd4MPlmm8VlzH87tZf9j5Kg0S0l VSyDjpKlSeKnqkhwLe6EwBPMl+8vXornVnGFfPG7v5Yxn1q0+RBTGlzhmPbc scIb2I+4G+7JbXIDa0EhG098nqdbNNdJI3dQFEjOV4mmo3CSzgHKS3f4r+8p uxHW/zbeokyyERlehvtd2IPxM5lcdXP1NRk2H58XEsCfN52XvOFtSoEPjUru vFj/Ay3MB5veUsDPR8xLCF+fuu1o7pQlFXZsiM2Vwvi4wSt6/XUvFcKT1/qa 4XpYK35oYYUKL1RUl1n633bljd4M5QuS2D90bcbhKtIe8X1R9W4raGbf27Mt sRotLe+MtHXYD4SC7O9ihs2oXv27hvFLBdggHmYsufgauREr+lNalMC83Czv qgQD0ZMKIo3XqcF2yQuuLoNdqO2aY5fuDYA161/NPc5goj8Zm/9kpGpCgHT9 0JcyJjqw4WixW5E2JE/7R25VZiKf04y7tg90QbTiLdp+pgtNfX+5u++WHnxf e+If8wgDnes8JvG+wgAYw6NFe+o7Udt3E4OYUiPI0DEJCf5OQ4FJi1M/u0yg WSXqvwfYD0tOf5Tg8jODv/Ght598oaHQhoThYB9z6Ilxd/1k24kslf+NHwix gLVtha4R050oyVJpqSDYEkzYiGrueF4XZJ+bcF2xgtjg70GqU1ifx6wiGenW oNgt3b5VEuuBel291zUCHE7bWaQuz0AdJ/o0tPNs4EKh/bE/Oxioy0Hd0CPL Dnycq63pBbj/ObFLhIf2EMam8GoigI6cIm5XCz1wAIlyuFxnhf2j6JqKtmoi lNexH72O8fkqzyuJ2ewI6+ucz3Rj/H5vyPeraHQCoQ/7TnnZYH9+5e5dZocz dC3HH287RUfCpw4FPXNzAVd+ZQIzko4S+IiRaNAF/FvnQ16mYL+bNV780YME qd3R1/kxPyb7DDsPfSOBaobd14OYHw8LqCpt8HaF9YS7ivb48671vjn/xl3h pF2G5nrsH9j/BXtwebrBsamnRs6JdDT9bNhS/ZcbPPVJk+7A/JjZV/Oy/7Q7 DLq23QrB638glNp6/nMH6fPv/lzEeBZCUg75YWQ46X9ZVR/X/AFbhyyWyHC1 raRsEOP75ruA14/XUOD1X16fGMyP38W9KeQICiSYWlyfwHhfsH4uobyOCrdN Htbew3h/yoz2DYmlwnVxdksrjOefFUjaB/NjtcopM5bfXdFRaPqVuxZq37Us nrxRgk5dm44Ra1IE7/m15x7kdiLxkEtBj4eVofzy349+hl2IL+rhK9+9CLJ0 U8sVzZnIaCE+63WqBiym8eb71zAR29fMMXRHC6Y0/5r2X2Cih95BqpmF+hCz 1HNZyJWOkpr4/C+WGMIut+WUkwjnq6a0ZzYtxnDvP82Jzkoa6jN+q/qi3xQY LovS52poaFMC0f33pBnk5EwuH+HrRPn/NJjX5y3gnuwOYwFV7A9jFf4VrrWC h/5fL7k30pG/zcaqpG3WECyTetFvOwMdeFUabLiDAE0vDK9MYvyZXWl9HShg AwtSZzZKH2SgHa1OZyKE7WGusXzLCD4v25b66pMHHGBOta9W1Q3r1fa4+BfS RLDnPbTvMtbf3CL5yQlVR/Ca4gwyxPhLGqxw/KXmBMrbuL6ym9KRXKbteM8d F1AzjPnhjPvbEDYUdluUBK+fjr3/nk5HS59CA6rukyC/6dIaCubHxR/08nWS rvD9KuW7B67L/GSt84tcYWLjbEco5tNd0ZPPq4rdQCB+9pUjvp7oQbcQ9yM4 P5V2GQxgfhwLSg40rHSHM3dtvO9hfGRMFTXfVCFDicLcDUGMn3/l8olWDWRY Il3jG8G1oA3nhkFEAVnzlax2jMekr4QjA88ooGIqvG0c60Ptz5onstpUEM90 LNqF18u505X4pI0Kbb/2C9niOiJxm20g5scfI4kBLP9444YJZSpxDo26SISH Uh6gP/H5Il+2qoPr7Pz1DXtxnm/9c/TSDg0I607YfLuIiebVLH1O7daCZ8o5 zUG5TMSu+9CkRNYQ0ngPa+wLxPnjrW/chJIxZL3spd5px/zkQ0n/QDAFPVpm ePYjGqrRHokyZljBIFygrrLj8/wQHZbYbQ1j8v86nGQYyJYMWn4fCHBp40bz n9IMlF2aY+cyYg8jegS2LXj+ldu35viNOUAQb+bXWRM6sqJmmvXNE8FpaPjy KM4Tks/+m3VZdQSt5N6bOYaYLwz2RUyykyDIMTRqG/Y/H1Qrt+rFkcCkPkfI H+uZTpHdxun1rvBO2spuDp/fs0KRfTvS3CEpyfpCIOZHpbuPudj5yRDIGfVB Hfefa/6I/8otMig57+G+jOuGda6vhe9QIExmSNof99/+TuOfKlEqPL6bzD6C 57ekTiIi6wEVWrodvFjnLwstbT+CN8Pb31ssA05WoL1qbxWieAFuDSSeCQ9m Iu7Dgmu4/9MEmjGl0xD7Fc6LQx7bJbTh1wfrPYOuTMR/LO4m6bAR/K665L2R pxMpFVSutOibgFZek4trAQ29Ss/5bSNrBrIqfemuuP9ynlLfGdbWcPjgRoMk IQZaqPh8fqMlAe7eePpsAPsNvQoTqwgXGzjnNEU03MdA2950bz/r7gD1jYck LjnQ0R/iwmm+s0TYpB8w530C888v2mW2SEdon/FMK9TF/S+7H2qki/s5m0Zj 5SnhCJ1e4ZckUFOVXcPqZ5m4NnGnkSt4rQ9sj8T93qa/yIx+7w7rxjaprLLw rfLIX9aRDHNW24qEcT186tiDwj4yaOw6bWOD58G1xfDq7WEKtPwmZZnjfu5S Ko8tdsN8uHRtmxruZ/Kl87f6xqig9Yfvpg6u9RcWT4Xh/O+250QsS/9fyZyh cFIZ6G4Y13POtAvI37U+wOoFDyibR0QOt1ah4XUPtaX7hUBlRLwqeX0z4qh8 sFsuTgESaINxxBevUULGLonDYUqwN3TL0O85Oort+rFT4pkq/Fy3INzR1YV2 6f1TnD0PUM4s99dLY6LSkvlt905rwmNGfW9FJRPZlgmeLL2iDSmLqYHh2kxE zTqwTideF25X6HTkhHch28DTR0VC9GBYX+FyhCEDWU31fXG+ZgCiTnk262md aIeP7hNqkhFwxd+WY/6moSvpLpx+JSYgV3hbNA3rv09LQvRpVzMYqHIInujF /kDFnf+Kozlsbi4Qv2LaiS6ym07ZeFmAS1aFpPF4JwrprO2/dNISlul3V0bP 0ZGB98Ia1RAruJ+3K6D9Bx2tO71xjVC8Naz6rV/cgvk1z//GLs8YApxRO3V1 DPOvbquit1uaDVw92n0yfScDUU2CxWIS7CBQjeEVXIz9ZZ/a/Ws37EFxknEn KZCORk5FqnJddwBx9XA1FwId/X2TuZnjARGEplHTBObfn5nRlYfLHOFiYJ6P Gsu/evwIaCxyggvCpKNH8c/nR5D8l+qdYVz9gEmQFx25vPrWsergAiLJzJeP 8Hze03/U/PaDC7yyPXl8AOc9z7PzVqtOJMg0mvpYgfOP8L74GcdPJOBTkKMe wPpPPHNbYQfZFQqGPC0eYv0vb5S6IDXsClK/Q8nBWP+fxtGUb5Dc4Fn9bOxX rCcms9NJdt/dYHdGXYgM1ueuUeKUCcUdyr+4FjzH+t/8vNSL45c75PfLCuRh /N4zG3/3JoAMD/l+c6vhOtiZbPDuLxkaLr8cfYLxrPfia8z3eQ9w8t0eYov1 3//Xae7ZcxSwavid2Y6vL/w89pjDMgV2MA7sScN4f76z99TfECpczG17bIrx XG+77ocU1n+9Ye7LLP33W58a4le4Bt6tUeV+HluMqjdWOGyOUISy/RaNz707 kUnN5EuDXGWQ+8Yxp6nYhTqfjToa9anDWC3PHysdJrpVLMwe4qcB3+W/oIwq Jmqav7jZMEILXljINFsnMhHPsrDt0EV9sLjtQN8VTEdeA/WS21IMwUq1rKba qBNVaiXIq+UYg3Qujy9/HQ1NWitZ6j8xhcebwh1GKmjIxIar0eqLGdyhrCeW cXeiz80Z71p/WMDkSDqVivMW70rlh4Q/lpBCT1rQqKajl2lAbVpjDSsaU6P3 cf4uNSAvZnEQwG6NeasBxl/as/sS5zfbwOspve/bsT8tqss0urXVHvNL871j qZj/l886P+R1gLIh/3ACGesf28ktpYJESOT4qBOH9SDRoVNXQsoRLqcRN7Ly eVVvR4yRtBPUZkpPCWA98Z3epsab6QJ6mnnfnXD/35fKNskKkCBPvy1JHet/ RVWCwMfbJHAMda6Rx/yWlHlGL2q/K2wuPO9zFdcDrWnmlfdcoarnX8QQ1v9u HsiA+26QRVvX2YvPK9zhbHWEuDtcYu/nVMT5XihOIa/xkTvQVi5u7Mb4iCQW v5WXJ4Ph5lF5Fh+GvfjDGVFJhiqXPUKduKbp+jfzK1Fgrqj/ZR7Wf/4iu/e+ 9RQIlZDpp2P9GbALardQpcJGvUHiFrze3VGxBPlmKtQVDPwvXxvJfdh2DOv/ ebugMpb+h/NvGPqT+xdFI3JE+cO7qKD9e309XQ0ythsqN/7HRB+DE28pzQB8 3lndFJLPRLVWGsnn5zRhsHXbn5r7TPSFYrju+DZDmDrW49ES34mGbalzb/iM IcnLLZvURUPq52hFjkdNobM1IacC69OGSMGjYU1WkF7gne24QkcficdWPr20 hqij+224cf7JzNp7x7eVAL6/9arVsB/w/WnLnv3eHi7tGYNTPngeqqdFnXod MF40ZE7gPAs7FQr4fhCB10oglPU80bxeTKBxyhFejG7r/oT9nmqYz9PoBRf4 uXNA2eAq1osdz2pPhZOg4LdSiDjWow/EpezTqyQ4JPBpngvzw7/qNr24S+4Q 1nf6WyXmFyGekn23tpJhTEPzrDHuf+qmqYmD18mwq3aTUCCuT9Dd/SoyKLBP JOOfJe5/NHcEW48AFbi3bubpwfipWI0I2Z5NBeHmqYus53f31uyN84rdCIbm 8Ef2ajn682SE7fMogv17o7fsO8NETgM1lMYpDbhWQrn+COv/i+yu+L3rteEv 9/WtDqeYaM5W0mx8ixE0bXhuy76nE8VKF51+KG4CEhvXCpCxv+rifxOaKWQG 1xRIVS4vaCj6vlvWqrY1uGv/87khyEAXlK7+s9MiQIrqiSWW/if8kCoPM7UB kt42u4r9DDS8Jbmh1MoBLkwTBu0d6SjE4NPMGlcicAccuMCH+bk3x2NY5bQj PD51PUUV67/P8HTDgBoJ7FaEVusyWHnIMvJEIwnisq5z9eN50P4w8jtNyxVq 9IboLbjfeta5i9Od7qD8MFxKFON9IP9R/GsrMiRw28+x/O7J8Nl93W/JoKPa IHAcfz5xyURZup8CrVPvLx3H/YT7Z9PoDtjPSg/psfB7ldGZYTmE85LOCw9D XPPltIirYv3P5n3fzNL/dJh9/DdxFN34x+sY0JCJAgefnbxRDTB1/1RqbDYT KUQLMhMrNKFEdzDL+zEThbrZ9N5+YwSvKMHyNJyn3ePSeyl/TGBQbMJc4SEN /SLnroY/sAb/g2Lq3w8x0N4NfUTv+wQQUDIcocgxUHdqvczRGgewjJsLPGjJ yn8U+8RWIhybkOIwxXyz/PwTZ7UPCRy6BJqCsf4sNWp0eEyS4KCY1RBLn379 KNHpYiODT4LbeT/cj6zD3oNhF8jwa7jmkA2un1yW8l+bSAWR7S/ZWH7eBVGO XCchWGm5NhREZKIl3QkFgTIN+PV3+3BzLRMJHM8y9/tqDLdgjmtXGQ216fiI oRWcz/6Om1Ke0JCowJs1ziLWYIV6szdiPc/UWJpfECHAyJ+gACrGR+KBu2t6 ERG0NJ9+u6eP8bx883q5sSPwnA/LvYLvR5fzND2lmAT+K+WC1/B5U49LCSbI ucIRmUDOo7iu9B4z6W1wBxlSbcs5fJ6l0UXFq1pkWL39hMR6/pMSMVvMY0QF jpjcnSL4frIcglO1mFQof55Qwsq7yjtsGb3yGsDpdapJqpSJlMXJxiQVLdjQ /t/ow0ycX02CeDc4GMOfE++Lo57TEJ8He6RlINaf2v02c8U09NKSvqT6DfPL gRqPGFkG4jvi+u3sDwI8vXdI3P8wA1Hq2P7lbMJ8oXCpjpUf9pMfeIokkWDt S4JNPcZr+WL12UAeV2gQCurow/djpvh4niKMzyOQ7TXr+61HZ99Gi5RQ4ai8 BYXl75uCojOdpDUh5W6LszPu/0+RxsR+LxNwtBfoH8P48T0iOVfrSgC3cuH/ Pe87eXrnmGQsEcL8Z2J68TyxacrLv0xxBLHYz81i2G97PTwmt0IjQcmjYR4W P/WrEvJ5vrhDwc9tUp/w+jyMQtINMhlqnTpusL5/+NXx69wVLyqsB4lVLbyf y1r7c93+UuGwgAYXwnWotWJ5E54PA0LyCdZ8tAQ+vneQ+hQdYU8tFxQ8j64I OdNFVHlgxqK/NsS1Cn24NCl285YQXDD/bSz0+inKn7xw4Z6HAjzgjDbszH+N shUNTRftlWC7GlP47WeMx9+XvqbnqsJqwrfP+m1dqPmOzpgxFUBj3eyaL0nY TzzxvVvgpAmNxyOYg9hv/F63rfV9qDZQc0TkruozkUdZ19En53WhI3BTtdOF LsQF2lonPPVAeeHVhUA7BtJkk35yL9YAFpjpX+W6O1G9zLOzDmFGcFh1ULFh lobS+a+mVmabABu1e6Ua+2Oe/CHpO/ZmcGJQtG1vDw3NLphV7bA2h1ciFquT Bp3orsfCL183C7ipFNddOtKJ/DbN0+ZdLGHJwbkxyw/nn03pfW/9rODwtpby pRHsl8vcNPQirKH2jP7qghgDvUiOO/EjmAAnuWJFZfB5csQPs59NsIEY1Tj+ gV0MVHli17Wt0XZgaDB31rKEjrKDMoMqku2B3PPs93AQHRV+PbMadcUBWngf l6vYYP9aOFpz5zYR7EMbF4VYeNiZ1OpQ4Aiex87encF4qH5y6bzmPSfwdgpN u2VNRwpBzf1bK5zhZrFoL9MT5/u/z87utXWBnZ/FE3di/ZL5+mbg9jsXKGQn Tntif6zrHJm/1YEEPBZaHOHYH3udt23e00uCDp5Quf0YX9N76HL8JFfYkm0f RsP8lLdrc6DugCt8NFH1rsD+eK/JzD2ioxvQP3m8OZCE+eu/MCnKsBvcLB23 csf+ddz7CMcGN3d4oLzhxXfsjxUWZAKY4+4wT1SsLMH49Ojt2Pr9DBm2r9t0 7xiuC62SV65NkcFjS835AswPQg38LutmPYDMa9Gvif1xvdVvUpMfBZb860/U 4OtXB5GbvOYpkHhZyf8i1oOXyhxeJeepcLlqZcUI41noEFWXC/tjwWazfJY/ lqIie/kSNqA9un6rwqcIOWintYY5K8LnOcNLgladyNV6/89d4cqQ8a4rJ+RQ F8r/Gi9RX6cOPr7aeyQQE2mv961646oB5fdlWs/iPCe4ju2WmY8W2E9d2vIl BevzizkyZ6A+3M53HdPD+7P/zcVpE2kICsOap65bdiJ7Ts6fR5KMofur+EoQ 5tt/vZ6fLxeawsbXf39qlWM9UXM/GddjBtcX/o6yb+5E/0S13w8MWkASs9eZ 8wgdcanMtC38sITXTvPT2eVYb2X6NQjzVpCjtjvq0RYGmrnyVOXFkjVcy2/n +IH1p+LTNdtZdhvYtfvr7Xnsj/+VK9VLbrQHBbXpB9/ScP7O6pJ/tcUBYiiv 13h60JH7efuuA7xEaDDTa95sREcc8vx/X4k4gvq+JxbrMb+3Wb9PDxZzgvsG rvuLjbF/2v/rm3y6C3jpB4f2Y7/jamD3eXEnCdq/z1wdwfhIurPV9+dNEowK f3+yE/Nlzx/N7UjQFXT+JuY9xHWg33PT+lxXEM2ccN9xE+PjA5Wd844b8C0Y 2+1KoKNDAYuWiSLu0BDa8oSE/bEK1/qacw/d4eh9R79JjI/ptMOf2I6Q4Zhg idcBjB8wfqN1rZQM166OHW5h5S/1R7eOKVAgz7NfKBn7YxeePonj1RRwcOty bsb79eexN3NTogI9YN5pPcbH/U0WF6eeUKHioV69A64rOFR8+bA/nq5yZrD8 xe8+9xz/wt+ItpiczS2bh2LHLsYdLFYD4v5N6s4bmCj63UfTlG8AYqKTEQoP mGinS+2+sBFNOHjzYPVe7JfpgbcHwtgNoadobm1HcidK2DNc8nKdMawPqL25 8paG9BZWjuWKmsKulWcnv+fTUKlgHTdvtRVoaqZ++7eI8ZyTqs7ZZA3Kpv8S rKUZ6En1lq6pJgKsYw+J72E9L0uoet9AtwfvWxvk8k7T0cXDI6NvuxwgPiSP Osf6vmcy0rpygAiHVO8Hs87TXVHuyPioI/w863o/Evvjdr70L0azLnDmy4D5 V4wPTzZ9rohgEuzX6nqygud/f1XnycOLJJicKLvAi/lhu1qWI7rgDi80Xh55 h/nlmu4RiZNbyBDocq/WGvff6ipdUj0V51+ZT1qncX1FbuRlyDUKXOSMitDC /ed76Rw/uosKXy69Vmfg+a0SfhTEuEmFVdp/zaz+O7nS3KUubYC0uI8bFETL Eb0/jmb4CsFaQQ4rOex/OZXX7eEd0AB94hW3B9gfixae2CU6qwUTa4ovj/ky 0cjJ0EMyK4YgRomnVAt1Isnf4gcz+UwgPDQ5O6uIhrqJXs9UduF5W3fpPNsz GpLUWvW/oWoNCc4GazYIMFBH8IRStAoB+O1P8b3BfP6IQ2BwSdcGWhveDfUJ MxDt0XgKw8gBpt55JBs4Yfy10GvP2xHh5J/8k37YH5udr0jp9XCE4tGg1U2Y vxfDBD4VHsd5g2Snegb740rNj2/t6kiQpGtqTcPzkChT22CGXMEmoTl8APsN tz4/nsft7hBo3Fp/DOPd6suh1AwzMpgaEwMEcD+l1r8njjHIsBiock4Sfy43 yUic7aHAt69f9hzG/XznYLX7iw0VhsQe8Mjifl7/8y/9v89UOMihy2GC67Az ohf2YP1v1eL+wtL/sOclEnO5X1Fi9fv1myVvICEVHsGpBwDGF6g/HmUx0dXE a6SreZqwJNrmpoz9l7DY29SUFiPQVlH04B6mIZ9N7e6FgyZQrN/D+xnr7dH8 BfQw2xrsmzY9Ysf+GIl0XP55iwDOvaLXP2B+ytxQ9LfwsQNY9e43mcT+OMWo kvPQUyJ8sdB/fxrj80OJu32bJwncyuJDDDH+dPm2XxcdI8FmO0kZ1vc37kIy preX3GEosdk5DPfDqdpo79UoMnxZvLlkiuvGxzZ+Ty9SQdLET4+A70/FZf0i OyDY1TYm/5PARPdylb+fvaMBD0/9aJbC/uzZIt8m8htjUDltZzWA+fhNe25Z 1IQpKBlntrnW0RCtzrtvlt8a3qybfa7Ny0ADMQRlEQEC+C+qVrD03uLWtRcm x4gwGpND4cXzJNk9omGm4wjayaV7PPH97P8zs/9uAQlk6m2swvF5l6cuj56Q dgU52VO5Jrhm/G1wS6t1hyMKlccT8XmK1knV0BAZBpc/y7DOW1SxR2G/HhUo WdQVQXw/t8PvJ6/SqJDmtDaadX9D3vejZUU1gO/SWd7zOL9kyvV/8pDUgn6r Wzvv3maiPzwznQv6xuCk25wT9oqGhMYUNqdTTOHkF36nRjwPm9IPqpE/WUNB pmLiLOaTYwbmO/4OEODqu/1rj2K++ZxifE+N3RH4S5Njv2F/vGR2uOloAgkq m8c2ZGC8LlleVFfkcgUx+2DjMXw/L05Jrz26lwx8gpWRSnj/xekrkV8KqfAs +vsFlj/2eMswrt6rCcJvG3aP4v6njSjpMuxNoEInh3Id81/Vmdhjg/YEKL2w nsHE/ZUe2VCcG0IE0esU9f3Y/5zbHfnF9aIjxPkbjo3g+dK92nSBp50Ehl+V tdkxPuaeHWxs/+gOCmH+PRN4/dh1h7zcSWR4ofu5j6UXsVHM5VsUKnQ0hN4D vJ9ED6PsfVNUEH2q6qnJ6qf4zf+yWfnR/Bf5f/kxTUd9KbEH+RsHzzfGJSHz e9HR2ZGa8EHtWodjBeb/bdIhR5pNwF7MOOcKxn+UXf6PscsE0HM+tTlTnoFC F42dPR4TYe1St8RTFr5fVUnmDpLg8LzOnDje71Dr5ozGIDIkEod+auL9tUwX +xyLpIKQ/fQ+C7z+tGW3iUi0BrTVycdmVDMRdxR3iEGpMUit1ZcZrKYhzw2b n5zlIkAdlTJ5B6/HFxuZeVnBEdR0Y17IsNZrX9veeocEEdEqIiy8cYkd7vA4 hvk6JDRjH17vzovFy+dfUGGGbHDJDq8ntx9+DHBogOVx5ZvZhTgf/7m5f4+u KZy4rimYVUhD1/k/NVZ1WsNce8W2hiOYL9HoUuBvIpznK/s4gfGRxHHoXdla VzAPufmDdR5FvdJ8DF4yWO3JfquD1yvrtwqzyaPC3CP5nSw8VMd5VpJXNcDu XL5NIubzz14yNZVKJnAtLk7cAq8Hs0q1soYEiLKT6/2G8VD9dlzuiicR6Nv+ q3mK8bDsSZM62kKCTxcntFn4O+V3KHzFlgxclPWbhPB6RZNpm5ucqRDgclb/ OF7Pnt3d5MBaU9CfdXTJx3ls+ef44cliAuSVaTz9ifPhvdv8j6cYRDj1WKZK Dvevguy7mv+HBC7p9issf1xHXXPuRCrG85PgUFa/rCZyol40a8B897yYLN7/ uXP7bkZMG8OQEqHRv4SGrFfv1L05RID9qRrfruP9q4oZ/9hBcIQjkmsWy/H1 VY2k7snpkWGhb4cEKw/fVDK9Gt9NhTgFqwLW+afVbxKI1tKAdis6d1MZE0Vu 9W/YMWENzYst7uswn/4arDBk3+4IfgcK9k3i/p+8+y2/focrbHrQ+O417kf/ 6uFfmWJkeCV/pPowvn6BWX4spYIKzEhBHlb/+YSOjnKqa0KNdfnzyhom0iVp dP8INYGn7RJOrrg/khOM6hRPApwvkshPx/tPeVL6ebyLBNueb/DcgftxK0PS tuMkGXY/PfqZdX3emLdWX1jvX0qKSrDmp2aDxD5vagn6YVxkzOCiItlV1xm+ X/9BqbBq8rojVeiN4bYMeqgQzKfXya4reIoWLgc8+URQAGcfKn0x8zXKv+Du OqSvBNbqXlkyb+iIvsa+vTNZFfZlpV5det6Frpn8fB7kAjBymP25QCITNUOR lxRBEypz2ctO4nlRl+Ga/eGvDVwEh5EdRkzkripmMntaF4K+TvE3XOxCI3el DXpJelB7kf9AmAsD1W/oOdgaagBLsdls73s7Edc2tq53/kZwP7e+WmOehrKI Uj3W6SbwiZ6u343nnZTFva6eYAY3Ijc/auymoUr7VvZeM3Pw2vjG965eJyrd 1XUmzNkCpJbXzJCGO9HEwd0vy4iW4LbyVMLPl45e9bq15fhYgfO1qvjUb3Tk /SaFRAyxBsT4rOSN86WV4Mrn/HMEKPeQajXB/R/2eNIZHGcD2sIhHdG7Gche e7TjQ5gdXOtrK4RSjJe2tq/PLttDxyQhMTUYz3vO2IDqRQf4uc7E/xHOlwf4 uJN8bxJBwfgJkfX8blP3dqbffUfoeb676w2eJ+kRu38cuU7AXuryzQzny4WZ qRSBEmewDF0rEo7zJXeCbNthggvkq2ru7MR6NVsy8iv6jQuM7xUuPILzpUK3 1ht+OxLYO+0NdsX5MkWk5f7CexJoeK4J3IvxAmdGZAWdXUFQWaf2M9Z3ft3g M5afXWGvN28nA+eHzrKN9sjBDdS3yq09gfPlGwGNRe8hNzC3MPYOx/nqX2lG 0rCLO1z3k01fxPnSh/f3fM0Pd/CZ92mpxvhru61c+uc0Ge5yi/IfxbWm6T3b gAkytOa1O+bi/XIpKdK3T3tAoRYPhxLOl/2c5ZfzfCnwKX5gw2N8fbbu7jX+ cxTYqliZEIP9lC5tt2diAPZTNueSWc8Xra7tnllcpIInY6KalS8vZqS3X5Vl g1sfhFVVBx6hx4NRy9WmivBBaShA7UQnOnVPeXX1lDLkffPX4BLrQnzTNv/9 zlcHbjPLSxyqTLSrki95xV4D3oVd/PsW6wktQcX9LVkLvHavfZiexkTZB4dO ZZzWB4ug8krvK3TEnK86GxRoCLefN9K32XSi4lEtvYILxqC1nVu1tgHz2R4O 0cN5puBsvwqhZTSkIZuCct6awR1J3vUyGzsRZ89um4lPFtB2fKPXWyk6irfj bSn/Zgn9Gv087Rg/mqsF0sIzVuCm2qdfwMVAux7/dPjwzxra5uNFKjHfaHtx /apaIYB09Tb+k9jfZZes//2bwx5mXE1+Nl6lI86xldvdGx0gcVH35AzOl6/k 3pYN8BBBOKUxyAzny6fZ0H59nyMcmMkIXcV89WY7MTdV2AlMei5tOofz5d5a J2Wtay5QmBnemYnzwsGd3pMDvCQ4PnVusI71fvrO7pszN0iwulgsvhHz21L2 o3+Ce1xBlq1YsYzlP1r7TBqzXcFWeG7nYZwvv6qE1XzPdoOzbWuaj+F8yR79 VPjafnfg/O72+jzOl3qmvhqW993Bbt7OexHjQ/rxBGlUigyv2x5pirP0cavm UPZjMgwdHrJ5wnpeWf9qk64cBZh5cnAB58voZ1mWgpUUeB5G3liH99vk1XHV S5EKuxVJBhwYH2K3KPGdddh/xwWLsp7/j3j/3MuJ82Ukl+lnVr58pLo9/GjJ LyTYzivqffoO+rNge8r5lhrQuT1O5HEwESEqSqLhE8DLA1Kqa+8z0atvf0dX P2nCTXP2Pq0CJtKJ0jXJXTAAPbeX4v1XO9Gnpf1caNkI9pQ+9OnHfGSkmhGm IWAK5pB/MRH7q9ifcYsDZVawh6cuvWUBn3dzkxN/vTUI/Y5dmD7MQEbaFygl 9QRQ/12XL4T10Kj3K9A67OGWr9wTdcxXY9+d2pNoDtCx636CuTkd+dk/PBTT T4SEEGYOD9Yzn+kaJfZhR1Ad2r1qgf1wyteCKdlpF2g8dvBwCc6Xtue4FC8G kiD6R2DzD5a/Jymacs2TYPvjFKXdmB+EIjm+74lxh9arUXuGcb6kk6aKTTeT ofTdp932uP9VNurteslkGI/cs+yJ65LhB1POaRRoujt4SAX330Woq2OKjwoj NUfgNZ5fxcrmwOIbVNisEqbDypdP0kTeXdm8ATI+c/IWjZch1QlCeXQVgv/k 774sOslEH0ceTcMHDWBwdQakYz1/dyRm4MGEFrxPiHksdpaJHP0O3LSYNQR7 2YdO2SKdKOwNOXY7twl0ux230C6moQ/Lx8hcO8yghf9b2YdmGlrZ2klyU7KG nvAYfZU9DDSRxW+XfowAlCTlj69YfiDtamCDpg14L9847i3CQM0Luxc/6zmA v0nX7hc4X+aFnsiUsybCH1W6bh7Ol5u/9nrku2J/l2Ca8Rf3+5mBzETyMRK4 F06LGOF8mVd7e9m1hgS/46R/PGfljX6hvCNqrpCk0+I8hf26797+zIRWd4it vdCqgfGetDDOG2FCBhH3LeMs/5H4WmdxupMML53tNUTw59a5KTUfu3G+3NHz Wgz3c2/NC+KoNRXckq5/kWb5h1ju9Ik+Kuj1UYD1/XTpx275zVj/b8eJTbL0 /1cs12hg4SAy/C22U83wOpoerZ7lzwFoUO39J5vJRJrbuyT4MjXBfd+prduw vwlYv3VyY50R/Jt/LoNGaOiskWuhYa8JlB3+rNOE9da2XdzlSaY1rKNT712W ZKCuUg2RogwCbIxJn+HC/nfpuWg3udABBg+VI0srOjKs/dg/X0+E8Izgv1Gs 9w0PHIxlUkkQeYBDTZ71/vSzkOC130nAs9mjkZUvs1V+vY1ZcIdcjrHtMbgf T4MbGm5HkIEgk5VkhGt18D5zOw7nsXGytTW+v3zfnoHjRxB4Jf7w5LNiokDj wZacmxrwazpBoRv7Kd5PVh6f242h+caC75sKGnq/WXlO+JspeH+uO3+yloZy L6q0PeOzBlnBAAvHHQzEfj/G/tguAri+D5/gwfiotNnyYKM8EeQvW98yxfP0 Dbbs2qfhCP73zIzt8f1wU+sMix6SYGwc9fux3tdV8+gUk3KF/B//Ju1Z/k9R bNKn2h38d29syMDn6fTup0qFGhl6F6yYrHzpk3oiUEKXCpxyUcQ9+H728jxJ +tRBhY2FD21sWP6c34joKKABO2uEbycVM5FB7c4HP/ZrQTNTce32HMw/f+Qk /TWMwXRmKnZTGw0dkKKbHXM2hcrxL7GSOF8errF2DOq1BpX7azcV4XzZ1tP2 qLyfACXvNnxOxfny5tLZYK4VIpROLK+y8uXYq1+j6hexf5jdrxfH+vsNtt8i vJtcwWjtVfbf+H5W4ifj9wiQoWFBK0MF71/64I7Ixnzsl290RrD8rHLkOfEh Pk0YLU18L4jn91vruTw9CxPwuhecMof570Namc0MgQDNJZIxH1l+9k5UksN5 IsRNZy3oYv8je+FBlWysI4zXNRi3YX+ksDG6ZHcrCfwflzCX8PocnGknHnxw h8Fzkn6zeP0mofEpA2cyqKnYy4nimt6voXGfTIXWcz5D6ng/3P9It5d/UuFJ asZ6bda8pBo0JeL5eLkkEMCaj1De1drV3LfoGNvyUuHBBMQm2WSwP1ATTOQO MrdUMlG8VWtzV40JbH9kEnYZ43/b6L6owngCnCZaFD3HeFei+B89WkiECsvI L92s7xf99vJEfCHBN3XCsBjGs9aVEMW282RQvHl7CrH8UNxzb95wKkghySnW +9JtbKEHTYM1AHb6jApgv0xyNep5/tAYHtFCNs/X0FCihFJf/AYCdLuLFZ/H 672ZeuBrL+MInO1bR0VZ84Ra/3TlkEBrq9A+DdwfXY0JE+OjZChJb3zDyl/C hK2XrZ9RwSCZKcF6/4CTPvKMaxngQO3T2lSsX8cV5CkNaqbwVSetTwTnvVqV TZ/b260hqvVgugfOlxcebXl7YoIIHf4uuX8wPipKr9alrHEFT0t24Q34/kam JzOrtpOB4/PrJNb7tnI+nqFHc6mQJ+fYw9LbBPmtSalzGlD5UX8oF+NB1thn u7SMCTz226LYg9dz3enxQecEAej/JRQOYzzsSnbfccKDCFX5r0PGMB7GBpIJ 6k9JYNhwxvYrvr8HiePs3whkeJ9eNLkXrzerv9b0lSMVHHwE/vc+rrP28tVX CyZw5sW6+544PyUFu70sLiCAxRpmziHsn5w3asQ2vSZCVvqQEbDy+dbe4fhf JCiceycsiu9HeYEv4EAyFQrjDr1ifb97MFPX4VetBnRIH49crmWidhvHmX/j xnCytv21RikNBQoxekfECdARfvFcJN7/v9SzT7+aO4KLFsMyB1//HOXnwd26 ZHgjVSrH4nf+Dvc08lsqOAd9KrdkPY+hlM0Uq2iAdZnk7/lSJsqTu9N/8Ic1 PH1BaH6J9b/I+ON+Jrcj6A+LUcZY+d7UJOnmNlew7n20/Bb3g2/PpH+UKBkG /iVJyeDrSw41xuiUUeHBeIsmax7HaH3NcoqaMBxG9OLG+7+pGSHr5m8CQm1n SHm4P8bcy+/veWB8SY1uK8D7D5f13zBDJ8GDjjovHtyP9xVj/aUUMtTIdxQc wtfX+xm7loHnx4PTQYk1Py5Hj/aJUTRB4Kt/v2kVE6V+mDfc/tAEGOfF7uTi eZFn/69UIoIA2XtaGrjx9XVfT31U7SNBfSo5WgRf39e+ve+BpwbcKZ9J2IR/ /41X2p5SNgLEknKU92C867X+Ffgn7ggSRW1SLH9Tf97bll+WDN4D4g0irOdz QaqXtjZRoUrOXZPlL7RqyX9WpEwhxTsiwKCAhhaj7SO+DROhzVXkNMvvLm0g x5osk0Bc9pbvVry+Qur14N9ZVKAb9h1i4VUu0Unjx6gGWA5mnyrGeO35b+y1 0D4TSLVN+bb4iIby7Zp3+SACcC6VvGbxF/8LL65yCzKIy8uI/u/9ibYj+zaO mUDMsMfZdbi/3QOJMsTn2J8Zo34n1vNIz8ISnZ8k8A4zUGU9f1IV1Dw7mID5 0/aYFIvvu/5e5dYr0ICXyZ9MQ/B5NbpK8P8nRIAqHvoXY7ze2O1TciMaOF8p elSz8CR8QJzuw+kIIHR01wi+vwRzn3ATITI0pxSmsvKX1LofUWuKqfDnXX0Y Cw9pYhL+CWKaINJmk/UQXx+tW/xh7WYC+msPfVTB/JxmZrOz04kA+od2F7D8 ka3gosP61yQIFJK2W4/3azDmORLmRoZuB898lj8P67p2NKnNBH63FoVfx+dd yW+s0/KVBH8KAu6w9FzooXTA3CUNOFDWv2sz1uM3m7x1Io+TIaZ8OpY1v/+9 axYrnCFC1I0CCRa+ZQxReNA9KrQrxOix9jvU+/zj8fWaIJE+Mu+Lz0Owe3OG oCkBIg+tvcziCzkbr/mdDmQoLFHW34+vR2ju2BC72RTCZ/LOT+D+f5ed7hF6 RwSXm6MqYqz3zevW83dMk+DJA7+AfXh/Sj3j505epQLvk2ciLH6MhPmHGW0a IBzB3ueA15P77H+z6QgBijgnnufj9dhlT+0zMiCDzb16bVb/j55LDJDf6Qhf JwsHWfx48GnahUtVVNAMCGSw8KR5NmlLn44mZLr98LHA9/83Ym2Q7wWsh/2a ryTx/jbQ8tJDfQggpFX8PgpfP09nonLoDZ6/j1Jcu1jPJ3cLP5jC8zb0bGw3 a97+7+/P2f7/v//7e9v/q/8fynLvLg== "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl1nf8T2UYxvGfGaKQnZGQyiozVDZZWckmsnclCWWTXfbeVPYMka0SFQ2U pr0rKpTS+84f1+u+Ptf9/M75Ouc59yN3mx71uydOSEhIROeT3K7nktz2xfiz 6n4L1qinNKfyr0WPX0ftcE28ztpkeBiVkuWQtZaNp5+ptfwe+Q0qik/iKXx/ 64rya6ktroHX6m/nF/OfywfxHfik/BJ+DD+Uf18tibOrz/mbE+pevEz9Vv+A Oga/qGbHR9QVeKI6C29Tn8bF1XH+/gd1M56r7tT/UH0JN1F/0p/LD4t76aXn r9OjcV88me+n9yi/np/Br+Gf56uHt+4zPBC3x0n4IVQC34tb6d+LZ1JtWTHZ WNmP1EqWTnaNHsGP4NXUBj9l3WpZYjyYisuyyVrKsuEZVCueeTyL+DdSS1la 2Z9UBK+K9x/PmYrJslrbQjaavqcW8rvlf1BhXIia0yj6Lrz+XXq/U0FcBK+i 1riaa61MuL3BBlJRWRZZM1FWPJ1qxnOUjZTtwC/ixvgYnsMPjfXyNPxVKiD/ RF0tPy4/pE7CfdXC+NvYj3h63BvvineGq8b7j/2obsOL1E/196kDcDv1lv7X 6mI8OnL9zfFecWa1qf4efin/jd5+dTR+Qc2Cl/MT+Gl8jXhf/Buxn/ELuFHs TdwUp8ZX6OH4TXgi/6p+IX4FtcJV8HL9A/h13Bb/i1/Hj+BMuAnOHN8mVY93 Khsh+4aayO6U/UYP4WX0D70mLyLLaG1jPJyOUmN5Kvmv9CBeSjepv7ywLIP1 jfAwOkKN5Cnlv1B+/CwNpcPh9VLIL9MD+F36m/rJC8nuca2GeEg8c2oov0N+ ifLhgvE8qSWubO07sv34Nfw8/gv3xQVxevwM3s2/yx+Vj+J78pn4Zfxb/BT+ A/Wp2Mvq4Njj6iY8J/aF/l61J35W/Ur/S3U2HhL30N+gJscXKa/+GbyPXxVz Qv+gOgH3UQvEbOOn8cv4Fnwl/u3Yw7g/boNv4EX8KP5VeQE+Hd8gnjMeiXvg jDFrqBouhAfpf4B74Ib4S9wAJ8MXKA9+GC+l5riiNUtk16mP7GFZWll9nAFP oqrxHcsGyr6g+rKksvN0P15M1+gV+UOyu62thwfQIaonTyI/R7lx3divdDC8 XmL5WboP14m9SJ+H10skP0O54nnQn9Rb/qDsrpjX+J74VqhKzAJZ/5it9HQc XrLTlDNmJ36Lf8Wah/h3qRmugBfGc+MXxruT9+Nb83/IF/Ij+Zflm9T8OI1a W++4ugu/ox7W/yS+b9xdTY8Pq0vxm7EH8Fa1cnzjar+Yl+pGPFvdqr9HjQP4 mZhF+rP4wXEvvVt0CueIuc2/yffWe5Bfw0+Nb4JvypfnF1j3Me6Ln8O/4174 AZwa18Lp4plQpZgHsr6yLbgbboAP4Fr4Xzopy47z829TE1zOmvmyq/SSLJ/s TllNnDZ+I1WM2RH7OL5Xqin7h07EWYfn0RV6UZZXlsraGrEf45ugGvKbdDzO sjgnqHrsN9oXXu9v+jnOEvwAv4Qa4ydda67sN3pBlkeWMr73mDF4BO6G7+bH U4WYW7i3/nv8LP59eVe+Pv+xfCY/KK4hXx9zR/0pzgO907GGX6l+L/9cHY9f VvPhb+J8xlPiTME7Y37iJ9Q5/v6n2Ad4gfqR/sfx3HAr9Vf9BfwbMY/0Nqr3 4xRqNb2d/Nsxo/SG8135u2Kf8+P5cXz5mL2xl63fjLvgenEvXA3foB/jHMF5 +UX0LH48Zp7sQ9wHt8S/4B44N74DV8Vp8FgqFzNb1iv+hqrKrtMPccbEvqbL 1F12nyy5tVViD9FeqiK/Rt/HGRPPnC5RN1kuWbL4jmLP0B6qLP+TvotzBFeK 9x3zP7z8DzoW5wKeQRepqyynLKlrVcQ9aRdVlP9O38bMxXn4hdQQl7V2evxG /ApugS/gLjgHToIrxBmBh+EuODX/Dj+OH8NvUZ+Ms0LtYe0xdQOeGeeO/m61 M66r7oyZq87AA+Pa+uvUq7GXYlbrn4r3x69Qv5N/Fu8a94r9gVfxk2Me8Dvi zMJl1GnxrfPz+T16vfnm/Hn5fH5E/A55dj4xXz5+Cx6KO+M7+dH0RJwrMbf0 N+JOuA7egcvjK3Q0zgWcm59PDXBpa6bKzlEn2b2yRLJyOBUeRY/HGSPrJttO 5WS/0ZGY/3gKnaWOsmyyhHi28W5pGz0p/zXmcMxs/ES8q5j14eW/0NcxD/Hj 1Jm2hpdfpq9inuH7+HlUHz/mHpNlZ6iDLKvsVuyNOO/wEL6TNSn5kVQ2zj3c KWYK7oifxlvwdH4AX1a+Vr2kfhkzUO8k/pBfrh6Tf6qOxS+pueKZqivxpJhx eHucu7iUOinOu5hdeJ66W/+j+O5xM/W0/lfqPDxcba//npoF/xv7Q3+HukR2 UG8w35FPEbOfHxvnHF8mzm2+o/UbcAdcO+6Ly+CL9EXMXJyTn0N1cUlrJsb3 hnvhpvgUbocz439if+A7YkZTaZzLmg4xt6i07AIdivmHJ8TzorayTLKb8Z5w e9pEj8nP08GYVfgtOkHPyzLK/o7nFvePPUyl5OdifsdswskoKZWMe8R7DK9/ Nr63xP9vu4QScb14DuHlZ+KdJf7/vyAJOfjZVAeUsPhN2XFqI8sg+4uK4+Qx u+kxnNO6NrL1uD2uhdfjafzrfHH5aTqA/wNIW/Ja "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl13fAjuUbxvGXUkYihDKiYaaSZJQUlVJGZnZWNhlZ2TtbyF6RPbM1CKns vUm2jCJFoX6f89cfh+P4Huf1vO/z3M99X9cre71WFVomSkhIOH9XQkL41sQJ CWeF56ibbixepn9bfj+yvh7OigvjfvieWK/7G6ejevgkHk4FrSunm6TLQmLC Nv+ckwvSclw/1pGlCdvNzuufpxW4AT1Pd1MSuod2WHPBvBCtxA2pEN3SP0j1 9afwCLqXdup+0RWmVfh9Kky39empgf40/oSS0i7dRV0RWo0b0SPeXBF9f929 MdPdwRmoIT6Dq1vTDq/HI+N94/J4Ms5KyXS78SW5KK3BZaxppFuOG+NsuCge gIfIs+SkMZN7yTvlmfI6uaj1//CMtCK+H7N+fCrey8+a1+Af4u/5BvOpfA3+ iY+K68bfwWv5FPNRfCE+yB/BbfkQvI0fwfP5JnyaJ/f6PfJl/Rf4Bd6dj9N9 aVZWbhzvTd8EZ481+OO4FtHh3niX/IL5v/JD1Aifw6Pje7Kmgm6qLhul0O3F V+QX6SvclF6k+2if2a/6YvQ1bkbFKCXtN/tN/xJ9g5vTSwn/3XgPmzXWn4ef 0v10QHdVV5zW4hb0qLUv6gfqksdMl0iXSdcEX8BjqIiuom6aLjul0h3E1+SX aR0uZ00T3UrcEj+Gi+FB8TmpKe6Dd8drzBPjzLgp7i9Pi/taX1NuL2/UT5O/ lMfqi8qV5HX8M7PRfBF+VG4nD5W386N4Af8en+GpvfaQ/Lt+KX6F9+Dj473w b83L86Z4A19lPoEvx0d4K/PH+UtxH/DB5kP5bHyf3EzuK++RX4nLj7PgZvgi roU74O/wOPwCroyn48foAd1hfF0uQevxB1Qi9glrs5o111/C4ykNHdH9oStJ G3BrKklp6ajZn/pXaSNuQ6/GfhPPgFkL/WU8gdLRMd0N3Wv0HW5Lr8XeZH02 s9hQr+CJ9CAd193UvU6bcDt6wtri+iG6lDGLvUqXXdcK/4pr4454E54U9ziu gmfgxym97if8l1yKvsfvWNNMtxp/iHPgl/FQPEyeI98vN5f7xT4hz4rvVC4V +5/8aNyT/AOzAXHvxHNjVkfuJP8Q94rZZ/wrfIJPjueMV8Xf8s/NP+WL8SH+ RLwfPgzv4MfwQv5DnDc8g9efkP/WL8Nv8J58Qvw+swpyc3mNfqK8Qm6vzxn3 pzwsnjFqgfvjffIb5snwY7g1voqnxDOve1c3U5eDMup+xrfkN+lH3IHepIfo YTppftusNG3GHak0JfezHjdro7+Gp1ImOqW7o3uLtuBOlMvaEvrhutQx06WI a6Nri3/H06i4rppuli4nZdadxv/Ib9NWXNGaFvF84c44Ny6JR8TzEetiP9Tl 0LXD1/F7uHNcz/ju8Mu4Op6Nx8hL5Fxye3m4fFzOYt0Z+V+5DPUymxjngb6S 3DL2nbgP4h7lK/FR/pF5Hv4q/op/Yj6cz8X7eZrY8/gAvJnvx7P5enySl4k9 m+fEq+IMM/+YT4/n2Kxu/A75R/10+evYH/SvyDXkOfrc1AGPiPNOzmp+NnHC //8IKYu3i10orzWv6Ubq0lLZ2P91ueIew3/iGfE3AJ3TJaJy+h24a+zjcW7T eX1iKm+2E3eLfTLOPbqgv4veMduFu8ezSqn8ntz6Dvob+PM4Y+gX3d1UQb8b 96AnrX1dN0qXjiroUuvy6Drim3hm7IO6mrq5ujyxZ+ou4iRUEe/BlWOfxl/H c4bz4VJ4NH6QWuGP8QG5ovkDOC/uhAfKM2Lf0deTu8R3GPtI7Km4Fp6Hx8pf yHnljnEPyDv5CbyI/4jPxfPjdZfke2h5nFnmvfmkOCP4XvMqsR/FmcC/MZ8c 5w4+xnuZPxV7Rnwe/qn5CD4Pp5c/kAfKB+U58ga5UpwL8pNyZ/3fuD7uirfE vRhnAK6N5+Mn6QndZXwvVcb7cO+4lnGOWJtP/5H+Fp4Tey9d0SWlKvr9uE98 lti36Fd9MqpqdgD3papxxvhZT+m76G/jubF30G+65PSu/iDuR+/GGWP90/qu +jt4XuwHdFWXgqrpD+H+9LS1b+rG6DJQNV163TO6bvgf3AB3w1vx/DjbcB28 AOejTngk/jnuL/Nr8n1UHR+Oz2DeGq+N8wM/g0vjsfgTeb6cUW4tD4rrzQ/h uXxj/ByvySDnj3OMdzcbFGdK7Ov8X/OG0cfzz7eZz4j7It4TX2D+On8Pr+cL zcfxpfhwXNvYM/kovIufxIv55rhXvfZ3npJq6PvE2SYfiWstt5HXxV6E8+O3 8Dj8ENXQZdQ9q+uB4z9UC1kpXV3dIvx03Eu66/h+qomP4oFUM57DuJfpD7NU VMv8GB5EteI88rMK6HvqE8VzFN8p/alLTbV1x/Fgetbat3XjdQ9T7TjLdM/p euHE8bl1b+jq6RbjZ0K6G/gBqoN/wkOoQOzLugm6TFQnzjpdQV1vfBe9j3vg 7fKSOENxfbwEj5eXyfnlj+TR8ik5v3U35TT0Hu5rNkU+oa8mt5U38W/NpvDV cTbxoebP8bL4mziXzEfG9x/7Fs+M2/DBcS/zw3ge/y5+b9wfXp+ZP4/X8D7m g/nM2HvlRnJPeYf8ubxW/sJrSssNIuufpS6x5+DTweZ/yWmpLv4ZD4vzirJY V0jfV5+Elure0jXULcUFqCseg8/E9ZO3JP7v/+YFrP0fmiXwfQ== "]]}}}], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwd2Xk8lF8XAHAJEYUsUUhICNmShOfY930b62AYQnZF2bJVki0/SmVLQiqE okjIlmSZQZZCiJC9kHjvvH/1+X7Mcu+555x7num4i6+ZGzUVFdV+Gioqyr8C yf8eZfP1qLDNF9rt7n7DXtGLHrvo8QKLq06YuTX0DXsf8rxAxOMd9qdi4UNi 1TesRcrfnc7jM6ZWwX2C7P0Na0vs1Vl3/4Yd8DjmzTL2FWtXjKmZd1/EbP3r pnf6R7GnSmwRZ14sYa6CG02ar0ax5WHXnKCSZUxsulZtMHMUizhCP7GSu4od Xr3pOGwzimVmGrkv3v6DGXt30p8fH8E6Uof9Z9x3sVf7/lnEbg9jN+5mtN+R poK92s5mDOPDmLgHZiv7ggr+y5R72/FhGAvYl3o1oGQPsPzcO7WbPIztaMrV L+XuhaK287vHTg5jXE1X1Bdu74OJ914mRfghTK9un9G0OzOMMUjaMv8exKR3 XdY5l5iBLsdWTuHbIJbIj+8SVGKB5eSsI+ltg1iQS22wRTMLsNnRin6/P4hp TPs1V5FYof2IdWaPxiA2sTDqHLLOBip7jzWk5Axg/Um3qlLOsUNUORyrvjWA dZw+x1Aczg6zEoM/9oUMYBX+6WVfaDkA/woMT5sOYNfW9XYVOTnh5MHXDTG0 Axj/v1cP/slzwT381OWt4H6MPdttieMqF/iQ6rLqXfsxeoxNQ/IdF7yzTzxQ Yt6PLUb5zDlqc8PgcULTunQ/Vk9zQrHB+ghshpB6cUtkzIEpbSA6hAdMD2VK sgWRsU8H5BloHPhBJJR79fl/JKxX/9DdrjB+mLd17ai5ScIGb/4SvveAH9r3 bRDGwknYJO0TDckRfmCNeqgURSRh2/8OR+HsjkOeiJQk3TkSJvZr83epjQDU iH24wfC9D5MS74+7HCoAv6cyzesH+zB5zwp2tXsCMD/+Njqxqw9Tm/aUGRgU ANdonmtBtX2Yzdfhi3twglC4X/yM750+7EZX3aSllRC4Bweyrej2YUlMWYH8 l4TglVb4GQnVPixd7xL13H9C8HvvlSeRCn1YToskfxRZCPRp2nYunOzDqutz 7EosTsBkwx1+U7o+bOr5td4dM2GIvP5o1aitF/s57+DcHiAMdOPds0sNvdiS mOLSnTRhyLm0aVFU04ttF64cEO0VBv5Yem7rp70Yew5B19z0JKgfc8WVJ/di asmaDU+MReCPfNsfsO/FovQqi3t9kEvXm/WterF6WsE7/26LwI0bVekXTHox xTAqonmnCNwZ5hsZ1ejFZC+8YdzVEYVrYc+DCyV7MSF1aWsrNTGgLxHVf0Tb i7ns5MA1ZzFg2fmk3EfVi+XWHBQrjRKD1keJ79i3ezAeqfntPe/EQELuBlfn Sg/Gwfsk/9n5U7BX5Ggtw3gPRveH5xfNGXF4r/mu6VlDD6ZRcWvgtIU4XL12 OWT+bQ8WfXGrwTZQHHxnM13P1/RgO98H7pSViwP38kwyQ0UP9qc77Zy9pARU /QpecS3oweQT9wheN5SA423NxwXzerAgbT+mCm8J+Kb8cXLpYQ+2VGf4bd9T CWgbO0uuzezBZkro416elIQ2lm05usQeTJh42eerliRwvxUlqdzswVyPT1sz ECXBZ9PKIz6+BxvLbBLDF0gCyBwTULvWg32Jjejef/w0fGOwf3/hcg/GBQs1 Z+A0oFqdPxzcg1n9tXvkhD8NLZvugaSAHqzX/9yl6oen4dlPZ60Qnx7M7fTW AekDUrBoz7nhQezBDIavP+bik4KW5kOdeNceTO46hzLVaSlIwgf2El16MJpv Ut6fTaTA3OIn12PHHmw+oX7vK2cpuPXFR2zEvgfrkze4nx0gBdm/D7MK2vVg +UnuHRfTpQBKXlKNWfdgCYrrzpaPpUC27fCwpVUP5j8dvalULQWsqWSJYYse DFSyRZgGpSDMIXCczawHE/l5qmF1RgpCjIbYW016MJaMGuvhTSnAFJ+63TTu wb4tkOJLjkrDwdG7NOcNe7CWey58aeLScFPf/oSYQQ/2XHOpKlRZGnrpZRhE 9HuwjOVwQ2cjaVjO/HZPTq8Hi3jIOKWDl4YQV7H3xro9GFH3XpiUnzRsfRnw CNXpwQzXhdm5rkkDg+uzK+XaKJ8M1dR/5EsDzfO5GAMtFI/Nz0NdL6VBYFPK +IVmDzZX4BBQ3SwNd2jDxPmRe03mGLLJ0nBscx9djkYPVrsdkhc3LQ23Nplb TiHnF9Gdu/hHGrLFP1u1qKP4WKR3W9DLwLHXUfk+yAFUAh5K3DIg04m/I4Rs U/piV1BMBkKDWtlm1FC8cMqZjOdloGnB6mANsgjNR8lVfRkYzHl5MROZpQzX MmQvA1Er0TwxyBt20w6NF2Ug1tCTNgx5bF/QenGEDDzlYmaLRm59ued2arIM 1L/hlPoP+Tk+WSg0VwakdyS0q5AzGHnfOpXLgPwmpj6BHPGqxFynUQbo7MyY edD63AgKc6f7ZCAoxDPDBdmAuSX68KQMWBXebqpClntjfmR3Da3n3PtrHGj/ PO7j5dO0stAcv//tNWQaNl/dLk5Z2HX0ddhCnq/fHqs6KQtJm9ymkSiefZ4J IQ8VZKGf1S2aBcW/lpOLJU5XFsa+lY48Q85vfPzE21YWKu4b6luj8wo48r7/ fJgstLzdz9aFztO2xchH8LYsHE77pnYfnbdqwAgtY7YstLkmyAWhfGDp+CM3 9E4WrniuMuqi/NkIjut83y0LbB8Y2jVQfn07zuZaPC4LfCP3f+sbofiESt4J 2SsHDh8mTMNQfhqKui1zasvBuPRcj4tlD7Z1K/jNqJUcUBupNuWifC/6FRdX QJQDsfofx2ZQPdBUFnLLxMsBldXWlzRbtB+VGVXDD3JQEjuTYOXUg3nkbTCy k+XgD3Mky1dn1L9oGPqHJuWgyYA5yofQg/m1i3p60JwBNY/WkWJUv8IWXmkx 6mfgYv7qxxsXezBS9VV7PfMzUFn9YczStwe7xp0ozEo4AwPiJPwp/x5s5Gtp bXb0Gfjrwe2wGNSD3bnwa6Lm/RkwjfG/+yWsB6OK9JddwuTBa3nVRDQJ7Xf8 2r9qY3mIsiovCE7pwew00lrD8fLAccrOvT2tB6tmeGnHGCkPHY3Wf+NRf/NO X4sRrpcH/2TtpzjUD78UXybZK52FsIdnnupU92AVpPDgdgUFENMSYFqaRPGJ c3WZ0FWAv6sKbsYzPVi2vL7xX1sFENK4eq5qDtXHXS5RiXAFyE823JeO+jnB /uVIynsFaCs5KvgA9X/2yRl1nN45uExDfvWBtxe7tGp+6IedIlwo+mm0ZdeL nT8k9oImUgkYBR7FDn7vxdz/pj18jAPAH+WQWttG96XRfFOoE0BATmLOChUJ a8jT/GnoAWC3cfXkIg0J49LZkP99GeCgzE/TCSYS1pbu0K2VCRBDx9v+goeE iUqK7J0hAxQ+rzkwep6EzTnVeYiZq8LlKgZtmRD0/krO5B1bVRCJf142epWE aezzq+p1UYVmEUJXXCQJe/BMgPpqgCpMdn37+zGehBlsXb//MVUVjuoJ7D2N 5o9nd8y6vLtV4dG+Fye1y0mYb8sP2ReGapBza0c7fBqtF0q9xK3U4HH/l52l WRLG8sbvUbGjGnSsC17CL5Cwshebhwp81cBfwS9MfI2ErdxlXLmbqgaX7Yeb 4/aQsUtep8uiyWrwjhmfL36UjLVMrf7YHVWDzyshZdp8ZOyw0+tj4dNqMHGa Y9L+OBl7baGafPmPGtyxscsMPknGNpXNfby51cHula02XpaMhbFcFrdyUAc2 kv88kx4Z60w479rnpg5ignHXWgzIGC8t1QMTH3W4Qbr9LtSYjNVv3mDUj1QH kyPPeD5ZkDGq71k/sTx1KLAmFArjyVhMVX2R6JQ6eN+LTc0JIGOk0zFjhQvq MOmq27uE5jWhEm0uod/qIGmYgz9/mYw1Z3df59unAWb9hwzeXiVjdDcmiGyi GiBpNv/DO5aMJdjSnfjnrQEszwp+x6WTMRUppt+zQRow2drMq5dBxpZpD7X2 h2mAIueTc/R3yRiunPdCWaIGGAan6AbcJ2Mn6M88I5RqAJMFQ86/PDI2OKoY YVKpAf+OG6mmPiJjiS/BWPmtBogFsnbyPSZjK44Gy5ydGsDWupx+soiMNVQR znTMaYCCgXDf4jMyFnTrAt2rVQ0QinS4Z/aCjJ109h149FcDGIXfqb4oI6P5 7mpoOKMmLM3tUbB6ScbsCGl1Uqc0QZo3/qXtazJ28NzdJF5ZTWiSZIpNrCFj jQez8fvPa8IlL+KZ17VkTKS2eM+kniYIHC9R+feWjP1mea+Z6akJVzdY6FXe k7GS6RbO2ABN4LzQ/VelEc3Dbzt/+F3RhJKVlMFzTSie7oM39RI0YShe3JT3 Axm7rPzV9myaJkwvMizStpAxMbbJU0JZmtD1LO7KDHJq/eKnf8WacKTKlnC/ jYxppK9n/yzXhCLq8x+82snYxoW/vgM1mnDvSxOvfAcZc+TYd6i8XRP+nBp9 8/ojGRP35rNyndWEnQcpc8FdZGxMVeik6bImhDEcUOP8TMbuHBbbUN7UhKPB L/PKkLcaz2QdZtCCoqtnE/q6ydjzu+e9aFi1ILl4m9u+h4w5+6gqLXNpgdTT lw1fkdu4Db92iGhBpnGLU28vytdFsxevpLTAMo7BWb2PjJ3+gIsqUNCChsoD 8c+RJ7IcTVNBCyyeaPWxkchYhp+rQISOFtwWFjEIRNbV8lz1NNECTSOetU7k 7aN+zdY4Lej5ONvFTyZjhNarRGkPLZB7IHv6FbKrkrDRb18tuHnhY9gGMrG8 +8yby1rAnBGvI9dPxtyFr/JGRWpByu+KDE9kj/snaDWvawEZn+11H9mTpXue IVkLSgozPrYge8VdIXVlaMGXnNnaeWTvLaG3d7K1QJx/SvnAABnz8f38CFeo BT7b/TgRZL/J0Fu8z7XgWhU9iwqyv41Q4ESVFsxEjrkbIQd0ddk+qdOCGL8Y NxvkIPVQNe8PWmCeK38Qj3zptaCY9CctsBXB3Cm+LNHF+puE4nl8ItgWOSQ/ ZLN2RAsOPHbFTJCvHBYcj5zUgtqPjO2AHJb4qU1jXgvyn/NwiSOH7wkpY1jT gmbiiPQh5IhLAne7/mrB8QMpR1fRfqLmOiPv7NWG2tqwoS7kaKfL7jhGbSiM /BH4GDmGfNyYl00bppOYFy4hx+p1yk8c0Yb+sE59deT4d5f4nghog8QUZOxH viF3nM5bTBvyCMm9nSj+N4s/LkjJaMPsnSG6BOQEvkvk9XPo+1g1z6khJ97h r6tV1YbOkGXfdXS+SfQfCyJ1tYHsSl3+CDk5PDhRw1QbbvlnURsip7l32HU5 acOg3c/FFJQ/6SNB6nc8tGHU70fmKeT/TI+dwvlpg3/Qosd7lH93zwdtjUdq Q/4e7VxKfmaV8U0UXtcGHK8NOxH5/on2dq9kbbjPd7NzBuV3NjPfvfVsbZAa /Cw0hvI/N7YtqrZQG16xPeu1QM7bDPCIfK4NcufPjDWj+in43nqWoV4brlr0 ncn8hOr9lX8/z6g2eF1dT6RF9VYqzlM/PqkNr0+w/LVE9fgsr+Vx4bw20OJH 9uSjei27dTRYahvFK/HBH3FUz9X4D2waR3Xg3xlVK2bUD97v4zb1stEBL9Hb sUz1ZGz6kaTeF2cd0KXC1GnryBgTaKhre+pA4Gtdt803qJ+G+J4RvKoDxDbi dh/qV4szH7iHH+jAvL57hnkVuh86Aib0xnSAfHarLu4pGVMj3hh+PaMDz2O6 ss6VoHqgziYJL+vA49cGsbOon1YqtrdQU+tCW5tOsXIhGdN/euxpraAucFYQ /F7nkrHQxM5AMXdd+Lcjnb3nPxQ/kQnvu766YPP1VuDVO6i/Nf9xowvRhSJO qn0rqWSM5Z8AbuKGLux3pf6PnETGnlwMVcoq0YWu3q34yzfIGNlImHb/L11g nB3OkEL3izRrVMZskB5Mctt1fXAkY7X0AyKtYXpQNMzdweSA1k8l+aYgVg9W Pm2fMLMjYxaLw9/w6XpgcdT++KA1qqdPZ0X7X+oBj1ItT68JGXt7c/FN44oe xB3pJ8WpkTEdavz4fT99cI6KPitygozhV5XFjbwNgPd6hQMfuu+ZDlF1k4IM wIbT6AHnDxJWK9UYaBduADNnT+gwT5Ewdh+tNx5JBkA9dI+BehzNLzNGejFl BvBM5qzAr0ESJvUV7/F6zQAM6X3JP9pIGFX7tQKBcEP0/Nf5L6MYzR8/1HWK 4wxBfN0FSp+QMFs6uvnTSYagUck+0fiYhFWqJ8gq5xiCcdhZ+7U8EuZRn9Zo /d4QqnqujHpkkbDul4/GEmmNIIrpQujDWyQsN/sDz5/bRjDUVMpl70vC7tuL D1hmGMHy2u3wsoskLOPIndTKbCOwdIgfpfMmYYkZTnQBL4wgIyIhu8aDhIUk /V2c7zaCwdLIO2ddSJhphHTTBJsxMEvNPbtrScKoHR9e6LpnDA/eusjvUyFh /47SCEnkG8Pr6OAfeUokbOOL59dbJcZwVTdiWwXNa78sFcx13xjD+eV0uygF EjZs2KfUPGIMNMGhJ/llSdhQNg39KLMJmHLVviOLkLCKJMXhXjMTIGiOFghx kjDn+wdpa61MYOmI09pxDjR/FU1I5tmaQMVlz5jj7CTM531CtK+LCewU8BNO HiJhYmtDokwBJqB14cc5o4MkLN/maohmqgmwJ25n0O9D+yEa54v/ZwLUN0e4 xejQeQQKdrLdM4EPWcMThrQkzDHx47GJXBP4fHFd68FeEnbk3dHWiDIT+CH0 xtICza9pQm85Xn82gWgjmwjprT5MVToFy+kzAc4MddvLm33YkrLrhfgBE0g9 d/LKu40+zMiaqc7imwlMNq3FWP3pw/Yn2Lsu/zKB57JOFTlrfVhNhlTS4IoJ CBR15v5Z7cM8HtG8fvfbBHoHiJ9NkVveljIm7ZhA2l2VOaaVPix6cbtC7KAp nHINP5C92IdJb3ePsB4yheP39y/sQx6jf0y3yWEKRrKG+4J+9WEqAoa2rbym oC+SNmO20IdtWTzc4yphCq9uhWidmuvDAmuVTR4amMKYUGex5o8+rNK2lfqL iSkoOa2KtU/3Yb+3TKrYLU0hx21VwRg55LzrkUQHU7i8ELbuMtWHhb1NmLzi YwpCHS9air73YXX27JnVAaaglnY9FpB3th/qrlwyBVwPqXFoog+7plz+/EKk KYTZ6ddwIsfXD4TgUkyhQ4zJpnSsD2t1dD6Vno6+//bKlDUy/e7P0c93TUFC QmuSFjkB21HTzjOFUfZyiQvf+rCP366vRz82BXULumA+ZKYo1qL6YlPweH9W uP9rH5bcIHRAvsIU+mqu1hkgdzs9f+dfbQpxp47nMCIf2qMQ8KzWFEhPyOOd o+h5RVV/QKjJFATWU69ZIZPHSTedWk0heUx8iA+ZM9pR6cFHUwhi/JcwO9KH 3W30z2MjmUKUBWE+DvmLy19z40FT4LideNca+cjeOLpbI6bw7xxr+ilk+0cH a1rGTOHE25qRPcgP1e96UU+h8yQJ+A0N92Ffvx/nU5k1hVqhD/pVyPyxT7tD F1C88rkupiHnN9efWV43hfMbFZfMkb+76syIb5lCQs2szVlkIdreLI8dUyi/ Uh7Ci+z22M6wgNoMrKWiu2mRCzWndr/RmcGJz32OS0N92I8pn4qjjGbQos93 fBRZJH7D1ZrZDCayvrB3InsKRx++w2YGx8vDz9YhP21h7Og6bAaSMdHxZcjz xP/C9vOYQRmt0+5jZMl9x05r8ZuBmURSzkNk3ydF49eEzIBPIMg1E7lMWya9 TsQMrEQx/TvIyz/eaG2Km8Egnsc0FVnmhuamnLQZ8PqcC6Q4UOTzU78zZvBw u+k55fWVbTjH0nNm0Ptyluou8rrHBMuMshnIKQ0Ss5HlGbybBNXMQEmlbrQQ OaR4PRivZQauLi0u5cg1upEi9/XMQND0+CplP1uz9MP9RmawWvH3FmW/Sglp tw+Zm4GhVIwYJR7hYjxgZG0Gxf5THxeR6zser9y0M4Nrx0wu0qB4lnF1+4fj zaDgmOMVbuRHxK0lPwL6u+c7kELOqBTyc3U3AzU5vnod5BvUxovWXmagy7q5 6IJ81STUR98XxU+nry8C2Sf70YJKoBlkBkq7P0A2V9yYO3HVDPzpE9NGkLVu CHhxR5pBUUHqiV1khX6Dn0wxZjB9V8JREOUTX0DezGqCGdD9Uqz2Q54p1pt6 n2UGkfvF31Lyd/hPkGtVthm8EHaTN0Lu0sz5XpRvBn8INmqRyC/HV8eTS8yg wSWCdho5gvvhV4daM0iYq1/8gOrFz73VwbQemfjpxR5Ub4Sq5RGNRjMQZ/48 r4KsY6o1fKrDDN5LSfTVIbPdXBzY/GIGwsWj+z6h+qUb4LZeGDUD0biDRPbx PmxDSKN/bNwMCnnPiDsgf224S2qdNYPQj5NTK8hFG6o9/22i/Pwz0iSJ+omK R3qHNLc5TGKlrVOo/0hV1+ue4DWHqvkeZzXUnwRpZtu4jpuDwsg9hVxk+lzl 1l0Rcwhbk0jFo/7WNzDd9EnBHGRHa/LmZ1C/1T5XdwFnDinhCj3K833Yggj3 h3J7c/R8m4dVIwfs3+zcdDIH29ybC6dR/7z66fXIzQvmoBL7clMY9dckc4Xt 4ivmYP1e2U9wqQ+rwp89//OBObgyGlabof5OHXKmxnPcHFKliG3+//qw+0XS VV6eFnChvnhonpWEpazWXfO7bAkPmJu/nVcmYRd7U5ztr1qCk3GD6BCyXjlB VSfSEqzm5cRC0H1L68uwh/+6JQjGz2u9xEjYlZ8WUZ8zLMFU1rb2hBoJcxuf i5CstoTIN0wTm1okTPEzd9j8miUk3qgUMzchYVzP5+0GNyxBzdqqYxJ5PfHd +eZtS8i/KjwbbErCyvTc/t6nsYKDUR+yM8xI2ImWsiv67FaglSbS1GOB7t86 7dASWSsYKu+rkbAhYVMlwZc8AqxAX9TwT4AzCbPg3fladMkKQM3n5jZyc3K8 9uwVK3DyrTWPQ/NEflAml2eMFexnoL6VTiBhTio1tV7pVsAwpOdY7EbCRnq2 d3yqrYD5QGLS0wskzEAjzv1FrRUoxpXsF/EkYW+qD3Qv1luB3CGbp4+Qs+7z 5fm1WsFMyBvLu14kDOcG6gGDVnBsQlL2Mpp3SBsx14O3rMC7+afefn8SpuHF tFS1YwXJQ24PQ5BfjqbjflNbw7uC17TTyGmNj0UvM1qD9teb7PUBJMwksfVj CI81RIZ6cROCSFjnMUaWMBVrEI1eUIy6TMKU0u6EvFWzhtua9Q+/IT+l4Rnf 1rKGPOtQJpUQEpYwK14RbmwN+adWGDeQdV4aWUQ6WYOpNnWC0xUS1qSVdjc6 2hpahqzO76X8fxfxzacr8dYAUdMLhsg01yepAxPQ+nJPtWYia7XKXySkWYMq IW9BJIKEdWgPq2rkW8P3xnV61UgS1qsjNEfbaA0yqVy+OtdI2KqHIf/OB2tw HfK+HofMfvOS5e92a5i//+7De2Sr9rZ30z3WIKTzq/JsNJrHdC+mt45bQzD7 J2fuGBI2oVetfHMPDm7/vsRVGUvC9np9C7hGiwMZKqZH35GFbtEXhTLgYFGO y+pQHAkjfrQ95MmKg7xDPfIXkX/q707rHcfB4UqHea54EsboLcKjfgIHx+mW m1SRxRNNTc+L4mA15lnLBWSfzkdvTknj4DftHuNXyMsGOilMqjjIUXgapHOd hB266P+BRhMH7Dv8LzyRZW5nbW3r4CAmI+xwInLQp3nXBRMcNJEqAzuR/1vg yJqywIHqk0yPOeTqA9jnURwOIAJ3m+EGmlcNU891OeHg5liUhzoyt0+tT4sr Ds69+3UMj6yY9P1RvQcOZHW1Ga4gh3WdOfjCDwefaD8EPkOmMh6aSI7CAU+5 fvX+m2j+r7cUDIrFwf3ko/nHkFMkewi4GzioGGr5KIvMf7Btkj8FB+tN40M2 yDPh6ido03HgeTn5vRdy2UK922wmDh6zhM+EIcOnqunyHBwwi2RuPkCmV5Y+ mfEIB6ywd+opcndpqfuVJziI9Jdkq0W+yyNS5PgU7ffm69hWZKfERzNqL5At VBVJyCLbfKInX+LAI8dDbgx5ySvrAuMrdF5nuwLnkKP0U3/21eNgLrqveRdZ 5w3TqdeNOOj+XDFAn4Dq/9QNrwctOLjw0FiGFXkwa29pVAcO+tL0yFzIufsj 5127cLCgZvP+GLLHlS1x3V4ctLcq/jmBLPUz+KJEPw5Czz+/fAp5w2b5GesQ Dg6+DlCXQm5o9/61PoqDe9badnLIN87NSA6N4+CU3Ny7s8gmxQTf+ikc9Lvz Bigic3F/e5E/i4OnTA8DlJDHbtguxS/g4I2SaKMyctEGWcprGeXfoWvOKsh+ Hqb+xus46CkkmFKsMNhZLruJgy32lDTK66l0dFYO/8NBwaUPJyif1/aqSWab yga+TTUyUr4v5SQWOEZjA3Vh2pqU9eAya18209vA5JlDfbLI/Pvk14qYbKB9 dbbqNPLMpXK52yw2oG9Z+EsMuWxaPNif3QZ+l/JHUOIRYlVUZcllA7aGMm6U eEGL4O9zPDbo+aSygBJPevkceT5+GwiviFKmxLv78ZHL1EI2YM3jJ8WAfJcj 49X0SRvg47aPoEJ2imPd6DhlA/i/vCJ/KOe9nqjw4rQNPOFIllygnLcrfegd WRuIqb2RNkE5b43dTbvzNnD615VLHynnXXlFETAb4BIQ3qhHZhH6fUVI3QY6 xd4NlSPn7l34O69nAzMRx1r+Q/YI9FDqMbKBr5YF3fHIUt+/h1WZ2cAQ80Ps MnJD49C/cFsbuOb6xMgK+YaMlYqLow3sZGUuaSCb5PdEaLnYwLH511syyGPX 2nYPetrAGoeB/gHkXajekxtqA+oHxv/Uonqz1fjRMRhuAy4321geIVdqc6Wz RttANf9cZAKyh9EV4ZgEG3jw4YmbNXK3nYo+8b4NOAz0+82i+hfD+7Ln5NjA Yk2KA6U/xLrkjg48soFf8l4lz5EVLlD76ZbawNOm7Av+yHmXWtLF62xALKo9 bxH1o+3QPw5u721AI8n05Sdkq3CRk9kfbOBZnezpp8j7YxNqmLtsYFRd0MsV OSDV6OvKVxtoOZh9uBv1Q/XS/pM1VLbwWOen523UP7Nf7FteprGFMzyN9S7I GxUKtWIMtuB4mi7tLHJpTZbBA1b0+kjht99QP2ZvdfSPFLAFnoKjGmLIU+PT tZoatqBDtWRajPr59cN/DHuv28IHn0uTOHQ/pLW1fW+8ZQvkNft4IeTs0KzQ l8m2YFn9a3QR3SfVw8qP0zNtgeliSEUc5f7Jid22emILorKTzM/DSJiqyKGn wy22wLDnTdoKuq/+KkjQT9HagYrWjp4Zuu98bQmNf2LsIGV/o/8TXxLGlPNz TOmGHVx88L2AgFzy3X/3WqIdKIdsdR1DnvaOUmL6zw5GtgqZ7vqg5+3Ih9X8 hXbw84m50Q10XxsUDJTottkB2613Cx7oPhf5pX/nPpM9uKcGXZVxJ2EtMn3l Yyz2QCrgrV8kkjDXy7bdJzjsQegLz9FnyDlUFw6U8drDlP7qSRFkTrb4682S 9hCiYvDkGJovaBQari6Y2IN+2AFmDgIl3+Rcsf/soYy7afwYHs07nAeT/O7Z Q/ecluV3RxLmWfLjVd5Dexh19PlXiLzam8VIU2gPHy/P/JJEphPa87Kt2h6u 5vteUHUgYRItn/aYDdpDaPeAob8dms/2u+e4HnWA7ZIFrT04EvYuG9r/O+YA s5XeqZ3WaD2yR1ZbBB0gPpVV6C7ybbtPWqLiDpDiOiAohZxbKvtrQckBRL4+ vE+wQvs3olK+7OgABbhjg4NoHmO7c2/oZp4DfGbhUd5F89t+MltPwGMHOKJ7 RX0AmepwUqtdsQMsp0TeeYE8nxVdKVHuAA4XDVidkVvyvZJ6GhyAVvzWzVY0 D4ZUKKtxjznANfuIe/nG6D5ee6VAPekAoiJ4s0hkV3mZ03M/HGBBnAFnj2xa K8xTt4jWv3ZM7zCyWCPzb6ddBxDeFe1MMaLMc+PFRXyOEH9UyTHNEM0nbPa5 qQKOcPhp82Igcptlf8YVYUeora/4bIlc9aUjxkDSEZzyhK8eQU4af+mwpOwI 0r/fRT8xQP1xOY5VwcER1hIVcd36JExelor+uLMjbEgWkquRxYOv7DC4OYJO w3zeQ2TuTZ+5YW9HiHA7dNIbeYUK9yEyzBFkn65/Z0J+zCIW2nrfEZzLt084 6JEwyWmbDZpcR9hVMu/XQq5+c/OyWoEjrHDWTUghtxBng+tKHWFPEZ6ZDnnm bVHAyzpHGBhdqazURfdL2uDy0ntHkL/6Wy0PedOd3l+yxREU9c+KJyHvZ/Pw Le5yBKtgWpYLyOIXTnrnfHME7e0pbkHkShXruZHvKB4+ryMOISuzX/c8MuMI SiMvlKmRjd5Ne/y35Ag+mHz7hA6qP45Ct1t78PBUu46lCHnjJ3myjRYPz172 QRZyVAOtK91+PLToOLUnIqd4ublcO4QHlTia7wHIFe+F8JcF8eDp8Z+MOrJi psXXypN4UFYJ5VdAbvKOdVg5hQdJLyE3CWTS4Um7i3J48Lm4u8yFbL/ANlyi gIf4n6/OMSNPNarbzijhYfCaygAt8u+Lj3AETTw8+RlzaE2bhEWo9w3k6uJh vLz4xRzyPu691l8N8dAd4ZX3HZmr2cXSxgoP2hyp10jIuffSSBm2eLhFsvP9 hCzi22hOcsTDbmxKWQvyuSMCZsbueJgvoBWvRW5cNO1J9MKD4P5nbpXIeh+u mXT44mGvQeLyc+TerPLP+4LQfqesPhcj2/qNG2mG4EHetGGnAHlCk7UrOgx9 //6wyFxkr6Oqhg1ReLh6S9n0AfLakl/nv1g8vDB+HXgXOawlV//8TTzoy+ZO pyPTPOjuCLmNB7WEJ8WpyLf9qfSqU/EwwxHwNgmZU1uqffU/PPw4kMeXiJzN 46QjnYWH6WLy55vIwivJrT7ZeEg6Xv75OvKL1ndapfkovqUk3nhkhYeLH2YL 8RAaPV4Ti9wQcEzz5FM8HBgOeRSDvLW+mMLzAg+fj5yfikaWC20YYX2JBzaz xQsU+2yniOx7hQd7dx1piosinYO2a/FwSnVTkeIJapmG5Xo8ULVUxlPME0/N 9KMRDw4jEuyUz7di6LMeacFDs+fh7xSnJD561NOBh2proVXKejqYgxZbuvBQ eXOfBmW9NHc0zr/txQP2I5BM2Y8KJ8f18n48fLHieULZb8i9qd7CIXQ+716+ voVcwVPN9+Aryk+6BQZKvOZz4j1TJ9D6vl/JSqHER9C6On4aD+9L9nveQcYX nqQO+4kHArVGSAbyXdENQ/9feGgy6mq+Rznv0rZ7xBU8pK2ZGD9E1np5Qdp0 Cw/q30Z4HiNHySuGa+3g4fqCHJ6SD6P2cZO8e5xg94fA12fIh8cspdhoncBI zjHlFXLlcZX+A/uc4LrxVuNbZFOCcBg9gxPUzLZLNSLfmv7d+o/JCTok8t5S 8nV3PhM/w+4EezYibv1AfiAZRfud0wkcDtIl/aKcp5/H01EuJ1Bs/9u2jhyw qvCnl8cJtsu6p2lQ/UxvfkmqE3ICUvfKqxPIMecb5V4LO8HUaH+gJDJ/eMlQ hYgTxD8/63YW2ZbqqnCRuBMcezU/rYvcRcdTnybnBKKSKXb+yF46NK635Z1A hb/l9VVk+oR5hhsKTiDBHKgTj6x2oM4yXMkJlKhe/LuPXM3muOCu4QR5f45U tSNn8+fyKFs4QWLLcWpJ1I8OJki3SVg5wRVdFY7zyJGrjYF8OCfwL/lhpoPs 1DLVsWvnBKyxLgYEZAHvU6GNBCfgo42RuI9c+KqarB3oBLXVjRaHUD99bvQp ySzNCU5rh6cdRf2Z77Wjonq6E8TSlyhJICcfX5qSzXCCOVojWgzZb+2QMkeW E9QxXV5yQZbJws0N5DnBrF2pYCly9dR3bYdyJ7CkiXmiju6PurAtKo9uJxjy WbsWi+6X3y+ml6J7naDvZc7e+4aU+bV37CHJCdg9JrLKkQt0nzb0DTrBapsl /TfkBE77KGzcCfZz7u9VRPebVVndLueKE5iLW9WsIy9+j9r5wOYMxqaKucHo Pj2uv29b0NoZ3HbsfOLMUT2S1XuP2DjD0gUj2QfIWvioIlY7ZwiRFF+tQPYM 3LTYdXSG/ew3XMaQK+/PPRsiOgN1IvmPIrrvteY/41MvOcMr2gt1v5A9b99t 2vnPGSR+rtYaofkg7DD53nqmM0je4DFzRU7KY/Wbv+cMgtyRw6HIL6sSeIYe OkPe8m5TAfL2aFhw1WO0nkTTqU3kZEnnk95VzrA2rySXh+aPys+it76QnCGq Z8l7As0vKYLvH2/1O8PFxIarf5C9LuMajn5xBseLegFMNuh8j11fdxh1ht+M dznkkZN9JvETU85QX+gpeQPZ80CO3NxvZ5jO6A08aYvyV5/96zaXC+SfIm6b oHlpO/vpBu9RFxjrdstyQR5YUWPDeF0gkzzEHYSclOWvc+24C0h5Fr7NQP47 21VBK+YCDtkXk4aQ+2/cvH7wvAvQnGDUsbcnYYktO1L8Di4wvMGrq43mM/Cf lubFu0BG5YMNc+S1o10yR5xdYCHmaYITsr3/Qzl2NxeYzFexCqXMczxKCvQX XeDzqZybxchd/qHYUpgL5LadsaZB8180jzMsRLhAotthMWZk+VYd1Z9RLuDj tPqV25HS37nUJ2NdoFL2+v/nRd/Waq3BRBeILc4ssEZm4V0zbHjgAqK2uh6P kJtbh43qsl2g3rwVV4ocEtBkXJvrAntIh09VIY+1pplWFrjA1k/V4Bbk8gBp y6JSF3i690zuD2QiL7fV4+cucL/pfc4i8pE2Kuv8MhdgZta49oeyXt5u3INK F/jVofiTDs27Zm0+9ilvXSDY3ctCCJku0Mrhdr0LTLAdcz2FXMur4pjQ4AI6 FvOWMsgCgQecYptdYHZo9xuGvMJbSgjpRJ8n65Rsg3wncNbTacQFWF+/cLuO fETrir/5VxcYtaiJTkTO52IM0RpzgXfy72JSkSvqxOPEJ13ggd6I9H3k7n1+ ORtz6O95wvAMGTdEVTi34AJBGUkR5chjpamlXxddYNXUN68KedH0ZU3zqgvc 3BhPr0M++OB3X8pfF3hFHSbXiZzhc30o5p8L2Iln3f2MzKvKNX5p1wWwvvrx XmTx6XO/7PcSgPmbjeAX5MrXHWvGtASQG5w6OoKsdMvur9o+AtwWq978iqwv FU4vykiAdL4It0nkXuqDzDwHCHBsIn91GtmWnM3BzEyADDWi+yyy55UGgfVD BKDhE6T6RYmXganoDDsBBmp1Tywhhx6bOD3MSQAjhQtSK8g3mvcqvz9CgGmu hY11ZJbMdPVKHgJ8fxhR/Qc588IJvSd8BPhh5GS7icynVG2SxU+A7u6CyS3k woPa1rcFCHDVzc1yG1lyfMAhSogAkf5vSv8hV7/0cA0UJkCgTcPPHWSV+E1P oggB5q/dZqZyImEfcAn+NmIEiDZWOroH2eDU0RADcQJ8FJ4+QI1M+vc0ApMk gIN3wQ+K7buV4mSk0PfHphTtRZ7M/3TrhAwBXpOaTGiQvYMd07jkCMCgaT1G 8ar24l1GeQJMieKtaZGvHInK2TlLgEeV61UUUy+wFC6fI8Bf2rPbFCe8yyud PE+AIhVMjA6ZNU3m5YAyAZwjxYDiu65NNR0YAcZn2FUo5j9r0VCnSoCx+0eE KC5imGopUycAV431CuXzpEaCPz3SJICq80wRxa+f05EytAnAWTWjTTF2LXPo pi46D3LQZ8p6W8xFxsP0CVB88zFGsZFwzQ9fQwJYFaXdpey3f0P3l4sxAXRT bIco8XD8OLRmaUqA7JqjtBRPP/T6q2NOAL8Ha1yUeF70296jZEmAobK9nJR4 h3HwMQvYEGDSSKWTcj6fyhlsMTsUv/DfHpTz4zNaL7B3QPuX95+jnO+7+E7F TGcCNEZr51PygUXwdVwlgQBHR3/0U/LF6d2j7h43AsTu/7a8iky9cYXI5EkA Eufl4UVKvacTy0W9CTCT6lmygPxIymxby4cAeC5bpzlkjQuiadcCCPApsvca JZ+vDw3U/b5CgH99D3OGkQcvNdGzhxOgcGa6ZBBZhO2FuXQkAc6dDsomI3fo x896xRAg6ws9Rqk3pjo5jvFbBDQffvF8j+xgw++0c5sAn6v31FHq9fk649Oj KQQwLmzcqEE2lvwOVukEeFX4TqICOS0n1fvjA5R/T7LS8pC/nw9/NZNNAKqz gfIPkeUGPajp8gjQF2X44S4ymQXuwmMC5P59VZCMzBX9q6nqGQGYGuh8w5Cz XfWP5tYToOc+q60ZpX9QnSXWNaB4VtM0GSDDQ4HyoUYCrIx0cmsjj5M3tTha CSBFn5V6HllIuygg4TOKBy3uhSBysShtR9AYAW6WTH9cQv21l0f178UJAmgN /7v3E3mbOVzcfZIA+dmfbSeRjX6vJdnMEOD9T5WqAeS1xklzlSUCzGUG9dQh g33z6D4qV/jvDHfbdeTBpJjlrGOukLKlX8dG+b1hbQ/3e0dX4PLwZWFH99ET qfKI7B+uwDl0XrMN3ac+HMubr2Zd4ZB2W+w7ZLktqeCeOVfYsrNsr0ZuaCrz ollyhYf4JefHyINWZTjPDVcI3c4jRSPTh7+QkWdwg8aTQkMqyB7tz6Y/ibmB 2trg0bfo/pZ8vuD8Q9wNEs5oylQir6VJjFKddoOREgbTUuQo+2d9srJucPTO rycPkO8uljbcO+8G3jR+deHIbRylWW4GbpBel3RPFVnUpcTo30X0+cn9+d1o nmh7qFi24usGVhsqjh3IxC8drDP+bvDm4rxAM3KByRypN9gNHj7XbHuFzI+J 2xWFu8HnsfOxOcicPM/dzW+7QdL1Lx/9kKusVdp1kt1AASd63AvZ4k6XmEqq G2wM+Ea5IafuX1wQ+c8N+P3/2dsiM22eDtp54AbvxiaSNJCp+8ujikvd4Lsn x8gR5DxWtYns526QnCtC4kAGw1719DI3GK0u6GdBDm9eoYusdIP9bza36HCU 3/Nkb1u8dYPYQcHGVTRP/Uquurf70Q3ag0sMP1N+7/mo+XftkxvcYeVa7EAW 39dv//OzG0ikK95vQb4Q8fsYuc8NXvk/ZatHnvQ+W1gy7AaqN+/GPUMe1q2p sJxD8R5L90tCVjMuwAUvuAF7aapvAnKJRfJO+qIbiDuZXY1HvoJ30yOtukF+ GV9NBPKRYNYJs203OKs2+skXOfrK9vWAHTd4nL0q4438M/KHRBoVEQ6qdxZ4 INck1IX20BCh7k7Tc2dkXO4FVpMDRDhS0Gxngdzw2OKVLzMRJpJ/CJsiizzF HJJZiXDf++OOIfJGFUdxFwcRghTbSdrImR/fgyEfEcJO8HMrIff/5vbTO02E IWHzXWFklW0aTk9pInSuxqcLIRfuWXpzU5YI/H/OyAsgX2Jq2dd+lghiH1az eZE5BAJytIEIwQYhtBzIYScdNN3ViMDkz7FziBI/cZ25eA0ilCgz7mWlzLdn +c626BBhb+yw9AFkC8OOLg1TIoS/ZhCgQ35rVhXkak6E/1jcw2iQhXC5R2It idBxpXeCGnnN5RKxyYYIGYrP+3bR/Gzv4cz03Y4IFT8ZHXeQmy8aVFA7EuGP s9naNvKdEIEdVRf0fXZBGlvIW+EHCpxdiWB6VnlnA9klZkP3GpEIfcntTX+Q ZZK6/mvwRPHx3Bewjpx1p+b8mDcRRLQLbdeQqe8VjO/6EIHd8rvRKnLvoysS WCARXtYcsl1GPkRVXaMYTARDnUNRS8jm9sua8peJkH76UNkiMondw1HiKhFS X6xJ/ELm8H/0UyScCP+Otl1dQLb69PWSUCQRIm+E980jD8RZJh+NIcIxXr/c OWSuiZSjh+OIcGMqn4NinErnk0PXiRCvnZ3+E/le1j65gzfR+raseCke+q3W wHCLCJKV71/MIh8xjzCgvU2EXvE+fYrtXtQMUiUTYetI1PIM8gPGddftFCIU nKnLpXjEXWr5TxoRPspG2lDM0+wVvppOBO/O2qMUO/A/YVjMIEJ0teuPH8jZ YRP//bxLBMZi/7cUfx3kFZjOIsIeu/4sivnO2Dwff0AEl5jr0RTjU9MVR7OJ IPolNJDi3IXPLYO5RDBny79I8ZguozkpnwgjM2t+FPMXan37XECEBhb3cIqd qaO9Phai9asupFGc71j3p6WICDdlw8opnqjdiGksIQLxAf0XigUPy7HUlxIh RfY6A2X9roG+D2qeo/WVzatRXPC5RKSqjAjVbRJxFE+dmq4sqyBCqRzWTbHw jeOqpZVE+FrCIUSJH3HS/tOTaiLoTDyOovgJ3LV59JoIP1InpyieedA3lV1L hNd+LeaU8xDZPBiQ9ZYIVWegg+ILlno7/9Wj/WVq6VLO8+eB95y3G1H+M3c6 Uc5fzHM7/0YzEY7fkduk2Kvl7OnYFiK0JG/fo+TLfMRz7asdaL0N8WuUfBIf nu271EmE0SLF55R8u3j2hFNAFxE4I076UfLx1+L9kAu9RDh1+BLTCrKkwQCN G4kIb3+9nabYt+hQqlM/EdqH6Nop+b3kdLPYeogIzYd9HlPqYbXn0pDmBFrP Oda3lOdXOckKouokqt+2PyRKfQUlLKwoTaPPfxO8/hf5t5oro9xPIkwu7zGk 1OfGS1MlgRUiPH89YbEX1TOTgnwX2xrqX126+ZR65397xIn2NxEWnP77TYus 0/w9ZmaTCPuUn7ykR75HCv74fI87TFWaRRxEVly/Z3ue1R2i2Wv0jiIbhUbM i7O5A69OJBWlP7n8c4ng43CHc0LOb/mQE2jF8/dwu8M1bjUtSj8b5qifbeV3 B5YeqjxRSv+SnwixkHIHdsUy4jnklNqW/Voy7jD6bfLyeeQClacPzsq5g6GS Y5IycqdWUMMRBXd4Yj/boYrMa01HP465Aw37bJQecv1lscyLxu5gJfiJZI+8 +zqgKt7HHX4X33gbizxCV3Er388dBAtM/7uOXGux7Fwf4A6Hn5oEUO6ToCXf g78vuYOpyDOFFOSZkxfd3SLd4cg32vX7yL0Z7twaKe6gI0/krUR+HGQfvqfC HS69U66ctqY8P2lphq27w3/Cih6m6H6kIpP3BP1xB4kT91MtkKtD3eq9NtH7 CSfeWCMLNMWetfvnDlSRNw46Im9ZNokq0nrAOTvDKk/kkqtwcIPdA5pHVjZi kBlaFQcC5Tzg7OM6+mrkeq+OO17yHpAd5Hi8BjmIxdaEoOABhw53KLxFHrMJ bTdT8oCHvKOERuTX86/eSGt4QIT4cnEXssehM7mL5h5Qeqp9YRq51eH0Ba9A DzjOp8bGieYXrU5uz9vBHrD36KYUN/IHRRqvF5c9YGZhSZ8HuenwF+/Vqx6Q mBcVKoD8rifa72qsB9Cxna6QRH6l2X/51n8eQFWlkqaF/EQiPP7pKw8YLv3Q HYh8/V/Ho7m/aH1JT0oakS3Sudf/Iotnh76hmP+UhxbTtgewFet1UlyLo50V R24rm12geP4lJumDPBl/VLoJ2cSz8vUSso+W0SuKjww8/LT+zwO8BxYbm5Gn L87z0e14wD3VvD6KX9Kc9+NEPlhoOkmxgczgobPI5Q4vaD8gR94+hAtB/hXv qEPxpPr1iS3kzzW3PlFcNkSWZdz1gORm8a8Uh/sLxR1FZm3v/EUxZ877k0rI 8u8YWFqQdbf+eocjH8ZfNqOYM1Wv/jbyqjwLgeKJk/eYs5EN6IsCKQ6zlK+o R7bIJKVTrDMfu/cz8orFhccUc8T0WXxDnmP8V/X/93MLFC4in32b3ELx8zK/ P7vIn9yOD1D8P+WP9F4= "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"eP[t], R[t], X[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.417827205134406*^9, 3.417827226836055*^9}, 3.417827261630587*^9, 3.417827361636454*^9, 3.417827423054529*^9, 3.417827591619657*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzdfQeYVEWzdjthM0vOGQElSxCQrIBkRAVRVGDJoKBiApWggkRFFBFFEVAR FTOggggGFBEBEeGQc06SM/XXW3XOzOwys3N2Pr//PvdOPzN7psPb1dWVOgy0 SXusT8/+aY/17Z5WotnAtIf79O3+aIlbHxrIWd5rjPFkM+aaiiUMnskY5yP4 yo6P0JxIGa3ljze0uemGTw+yvGFKu+JTsjzy3Z+hayElpJYN4rzCQXZ2BZkv MsU90jcL/aujMUnp6oep5/ztGgbekwl8F3lKDkdxpL8mb+SRdA/w3vgytotp JL6MlEUA75o18EyGoGTGZ8YRkxagxJO+dmQeh6sdGdskZoboZiZkGCFCmb5U OwkvqOFEvEuYvIjgnQPj9WbSTSb6IJ+L/53yVlpO05f2CrBOypdoeeMARQvx kSO0lY86Xb5biLXK1jbWyu25jGUd1M7kCe9/Oy/3/5E+/ov9BiY6f/rZepge 1iapJYzVe/D/ohH9j/fx/322/DSGxqA4cXXP/sbKUcpYn/1geoaB6p31vPBd xtEMmoHiMt+u+c5YpWsa67qbjLVia4//Zq/xtJDEtDR4d8cXxvqIe855rbGq NzXW3/s48uHmM22MUBOZDiOB1tE6YNzz4t4p2vX9DxkrpZixbmlvrPUHBGZG NBgvnaATgHnisYNDjUeq+4x1zwMK1e0xY63bL1DTI0OFGNxJ9x7rJhUDUH2f Vqi2XY21eqdAveMK6qtGJ2+1K9pQwyaqHt9wi7EW/iFQ06JACZLPAXiHuV2w grHylzPWK+8JwNuuaDmdcDnxmvXWAXZcqM6fS9YYq24bHVo7HvLS9TpxU13h scMxJb/bssLESfU4mXjryTHGyl3GWIUqGuuFKQHOv+EasvWU3e+ZBIfEBSuM dfOdSmLN5saa872SOMU13uOPHxzGEZSNN/FdY5WsrlNw3wBjLduoeJNd4e3L czHf1A7/3MeRpT3klduN1e8ZlX3MyjMvGWvNboGc5AryhwbU4KfqZ2qZbA7k 178Z69a7dchQ5pdnBrj4irtR96Jeh3JeymWyO6N+/2tj1bhVIaGh787TUU+M hqdx6sucuEHeXzatz+5Quf6AMrNMLYUFxfN+FdQJ7lC/48Sot0zf+UlOB/Wv PcpCSA+mqNODxvpxraC+6EZLjPexJw4OD1ixAO7vW4zV5ylj5Sqt0jlgOPIE d5w7avm1peiF4h+2OHFbXgcV+tOht1JapLLq9l97BHWMa9SPOlCHzcUulMjv oH7xk7Ga3KVcLVdXuWybwlHRUIMx6VhOzN1cv23aYAo4cgDbgfl3tInlQnBf cI9rz1rTabs+NgUdktftN9ZL01Vcgd3sHmPN/UWgR7iHPkbHrlxD1wwaePAZ U9iB/nNXeono2Bd8F+jn3EPza2Px86Xm3HqitSkaKhQPDFGBgGD0Hgx7INDD swQ96x66Z3uhC0VMcQf6x7XGupf9f/aSahaeGB1wHEOjQceFQtMrnJjfRZZs Xl3CQZ+/zFitOyurS1Qz1rOvBqT5mayhr+DE6J1H751UyhESuPJ6bRU973XG ev1DFZKn3SkgXaJLl7xXvOtLnS9jSjug4C3sLkDrtDbW9C9NWylLUelZvtlY nyyWYMn69ndjzfoG5kS/z15grO9Xax17mMWzNkx+/VmZKh/MdQlzHZTZsW8F DRiomvb5LVKcpJaIibSef81Yw19Ri4GIouHtGl5BFnOVziZtU4MuD0WwtFDg u/sZq+eTxhrIOjD0ZXhrY82ca6w356iS234iR7SxXLWwptc58aSU+XbrMlNW mscrxfC4WNNhQLVaGGvqJ2Kp6ziD/nUDBqkk3clRafl6iFG90iBOw1Xwo/5t OoLKjYzV+WEOgwaPQ+jbvpc6Owzmrj7GenyUfoekj5gstcT/g5V39NDIC/Va 3mesm1opZQUrxEtvyWoyq9ysPUGtAfX0i2pJYKk+XWKsn/6WmWonA+Co4Bcr KAv4i3L24fK8cvucrLNyIydmZe9n948z1zusXLvXWGOm6myClZhRuGEOcKo7 Eg0HiFnEQBvdYaxrb0S8yLUTVDjAxzZdVHAeed5Y495Ws7BufyGBYAb8vE51 GQKOGQEDHntB+Qb9Bh/Bs3zXo0OGzqbQxW5QeGgnZhk87jVIu4EETJplrBlf qRIxPpO1aBUi0MV/aozGvau3SYVVUmbijWAL3ua9+doWwsraL3gvvqPYz03C HHvEcrKapD0KCVFZxzRDB6o10fgdHubGZuCeR1gZp1TnYYnNVlztolr1vDI4 rw4IWfz2y6dXDRzmgd8Kk6Q+DMjOG4xCb2iLgBa9t7zPJ1EtA93eXYnEGwLH AaVPvnk1wqjYQHiog0pRzYC8wjkg5AcknpGHOBnP4Dm+9xqkzVhqejwR7AZv SEalhsa6LQ0yod0hDxD89uDTAyWLl+/MnqYdlXbnXbwqQgCffOHGDdoFGOyR PKa1Qn1jFa2i1eF+IS+gC/XwF/nBdrkcKAwLHOPqidK7V+cNBoG/xTt5dp0A vRDbUjWMVbuljgNleEYXyAcuawMVKUI0d64pEKp84bZvvTsKXijyUfMT6gzK OQoIKR0/TWcGCgiyIHl/bDOVnYUQlGnk68rSIpVV9/y6LsIEwkgh7uUIvaLj aVbtUCGHwk2erc2heF0HqsI5Fun6OlC6JIHMoxIL/sGBFSiv32EaIXpgAL5D JPEXohqahzpqZVVvS1TzOpKN4ACDU8Xmz0StVrhSQOKFGkBhuYip5DBb5yFB 3ZEja6Ae040gF+I5cIRa7RRVTRTDOuMNlUW0jucW96r1fvg5zev3jDZjPj46 UrMg1ajKdixOsLmsyyPpJZ1XUj5HbhD7OfIbqpNMnV/Y4ddROSPEyonr+OSb V4UYRo5tgUdKUoImA1iI1FCOZ+Q5ntepU6C8NovX6XS6wRsCCgazSUlwugMp thnx4NODZvHyPU6t639VIbOFQtl0eJ1P0Mu2H98SnDyYQzTlb/Fh6skYoKRg B7skwUQZnsEDRy5ZJikpiWPXWS6UdFoapR3OcSmn929rn6ngKCk8IGIZ6D/k GN1Ak75ZbntSn7qXtz9T91S5kSqpT6mB+MKrzPm+vtQurjEZ1BqRH8JQBGBw PnA8jrj2H6YSjj0ZyB4YBzlzLCt8gWOJ8BfloXmog7+wzPBYwGDH6xXUVJV7 9AX7gX5BOf7CGToRKpbo7FKFVjjOldtXuluZZ+ArfcHJWU1VdviKuAduCZIO iYbuY5m5dL0p6YSn4NTnP2q4hf0RaBHmANMLLzJkAuZB4stGsZF2hs6cSbiS MPH+oz3NDaHhF5gDCUR3IBHGFsHRiq2FHeqYUol3MCfQBVTFSCB4CHLASzv6 bZw16uxTnLmtqBUWzdK4mnwmKixiJ6dLMAXMQUyFeIjJyuWEb4iWIWLwMtgI Yn0ISCd0DFZzwgyMWMhsFhOZPabSVMxv1U+3LTI1nK4xd+ganIDPZc4EIkd4 HoQWkMLRb2oU+tVSlbJ1+z3OSBGgIuzFiDEC6BGicTSFOgYgfTpXEHSE1l/+ LKNpFdNo6DAdvuC74h/V68gAU9sZDVbRoBRrhuadRM9SnfUEdM4xndBXtgzO VlZbV5ue2vH8FtQCmy+ye1nPURNsvWH8AH5qfNBh8VLTI6LnDzgu4Q0ibQ4A pPf2WWOATUfaNJqG6az+yfaFxtXWbXgcMBK6JRvNseD4NQ/7Dtjo86/dsMdk YSc4I07LeTQP47rttd0z/xMcukgXd+e/WPDLm082iwknTvNGDaJBF71XfAV+ 3rxWcd6KCafsBtqAHaWnHz40OCpOI52hjAtEX4gcpusjXvO+vZVuRQzr+3vD 3qi75w3T45hI2OHOqu3+bvucPsdctZu0e8a/259sadkz6b1ElzCq7246XT+m XgTRE4IYZiw+ZAwaRaMwR+XmbVXb9Ga0KYrOqsjsky7zHKJD5+KuxEH9onUZ TroSNe/NntQTWoxtcZOVQ44MOGU20sbLHvI83/fwwP8AR4b2cXtqfyz1cvaU lRu3ZeWcJAxUjd/pdwgaNtRjhvIYKfiuMTXek+9igbi/NuzWIb4eO1jTBbQA hHUfsW9C7GBeBVtRnapbJc+X9qyz9rs7CRKsUIgOH9FHoOeOV/e8k5XDpLD0 eC7T5U3Fzpf8rfLZarGD+RTMCT8kvBSw17IGlk3z6Dydx/TJOVUsOKma13cy TQY9Dw8+8LzJwhlZBhwfnaWzF31XfMeyXU5FTCBQr2YNSm/aeZ8eQSNAUtvJ juuLCccH14cThj/Kn60cIMnlcZ1TpJd0vJ1n0Iz0JMWE4/OFIynaiZ8g2QCo 5BBz+6u7p7s7MkxPS06bPexP/i59/jq8sYgUqJezBpVL827/lD4FRV1H7XvF xI7ju+YKXVlWi2rh4CZ+zYbd7o4uw0Ih45ZFtMiR7ZihbAu3oCk1RVyXumLj Fh3iS7GDwY7DwT77wOHHYgezzdPsjtTxRPLllHxLN60zro5lMwGD40OYJ0vM WMD0rp339T7U57z/Sty1C7YsV5zxMeEU2Ef7TiVeTvqg1Ynb3eEIjLYWIXh2 KA0Fr2vM2b7A3eFyOEIEKtsJOnEg96U8i2qfrh8zlC0CD0yiSZDNFm/u+kAH NjZmMJ//Al2Ah/rzunPl4TXdHXeHwcvgPruM3veq+Q/BRKl/q0k1Ebsm/Llh l+CNjgHP9qCNFtNiJwgyMYP5FQybFkdTL+XIuXyTfesk6nl+ZLCKf9Ffl7zk HdftSL/YweIUDPt7Z+OvxBdbvGWluxsBQcm3IYrupJ2Ihme0O36Xy0sFYeiJ V7DRT9KTCImrfL5tsYKNjB0sxzE6diT7pZzf1j3VKCawYprnXINpNWXX+8bd 3YZwOD5iBVp/PV2PA3Ks3AXq+axBFdc8Z+H+0FMHRpjYcUTYv2lGzbB0yL1s 0wZ31ysiQpVbR+tg2AMLrFigbNv1Sn/qD6wKc7f9pEN89t9bw4d2lPswHU4v Jpl01DA9WHDJG27DRxbWRfFkm7wBE2li4KpbtPsm4bpyu2dQPNiphIMQO6x2 AmI3LGv9hlvLh7sqX1y5LgUt5tP89EF/Jp02itRBxK2E4sphKfi6OTWHCOf5 dZNl3F22iQx2/XpaD8F7rdOxtNjBbOs4cQANAFjFr7b9qGBDYgeDpOI0ZkGd Uw1jB4tPL4ttXt/9rnF3hSgimMjY3+WpPOKDgPuNdm8oA951msfR9CKEUrLZ 7P7+0fXa+u1u1A1b1dfP37pUWz+VNSoUx0cH6SAkamGd0w0Ca6jBWYMqZw/I XvxKnNNSIOITV2/YWe/9HV/Bfn/Y4kQ7RAebil0oyXYoB3eOH5AlIG9nwQuF TydeTvyjwtnKL3U92qfvsP1jm72160NskApJRWIhyUccLf1Uj+rB7CGi16vK vlILt/zObO9/hGWMmejzCCHZjuWgHGcSKZG4BfXmdAungZy6c2rN6QlO93LK T/l3FKNip5IpmYeNtn6I6/wGpxp/ccvJ5kz8mORVG7frvOTPGuXlbWaycmIL b3bLE+2MHiElYhHXbeS+l3+scaY2JAc9n4uneLqDE3ZNd9Nue0fDT3s4YR8J kXEP6rGmElUyOk4/5OaXG87UAKOxBpcrlEJr7qzRWkHznhpJI4HcfOqu2UYP 4+LhZIc9eOhxRPgoW1uBKmAnlLbRNnsVkAx66QP6YORT9BRmScbCdRH1gb4h Aw49edPsHfPlUFboyx4LfT46R+fQ/86CFwtn/33jZj2NjeNhb/yx+plakDuw 84u21Ba3P8WRmSTswdDPnIbQkF9rU21QBeogS5gVLM8L/7D5TyEsJWuEVbQn mVeuMJrT2/3T0T728befuOdtBPfoamtJKklraa251h7IETrScTbNfqcrdd1X gArofPrg8LDEbPnGrlkYlFCUkDWKKtkUDeNk74aYm5QiaIsu0sisrEpV6Rv6 xjYfyVAwWslpLI2d15Jank6iJNQDP/fmvZgfIlB31o65si96s+AlwzdDr3G5 764Je6Y++uTB4Xe+smfa/WP2vtbruf3jBzx9YOTslsfbfYhLM57RPY/0Nwms Vs2W3Hi6zvhuR/v9WuVs9Zm3He+Ae+p4fv3uY121mhc3az9rcrIlZ3UxHoCZ RFz97PDynrdg/xvN3PkZzrau+3rrLxgWyJDFShaPcSrZ88GB7vIb6UZcuwRU LWUYjBdswz/ZKbvcZLxMl+0mySJVX3Nied9Yhso4UoWVBXYfMQ6cUsnJUFXB S8HJS9HFm1eBkWAYrvKBsYg+V5Y/V2l/7kt5se+EHUxsE2RXscBcYB7wF2uN 3JKdghqwLBA8nDliB21FhbNVfq52pia8AO4qgb1v3HWsM3qwZwDK+OSjB4eA qcP6H3783bbH2983du9rYC3CPG+TaTvnGG/tD3d83fGlPW+2mcze1iPniCk3 z9j56d0v7X0DXC+9YMtvDWfu/LzyF9uWVJ+zfWGD93Z+iZkoN2/rUuSjfZw0 8w4cdPDZzuxLBNij8JhE9Ii38clnQtoL+yaCKrAFFL7Q6/BD8+ufajy2+5EH waYEGYBv8j3Hun7W5ETLdaXOl53e7nhHHwZovJDsv8qeKyffPPKZDFZgUxGs wCH8qnLnKn5f63S9XQUuFsL9eNRaVuVMddQzSdLGh1jFweGeH8ihEukI7KzW x+8wfs2bdsc/dyNvQuejvXgpiLzUCV2O9kIe9BiDeK/N8fYfNzvRZmj/Q09g MC92PdIH+VCMT2490XppHapDn9FnoVdbREYrB/0HZGpZ5TPVzY0ql5B0XBCH HGAxJP6iuu0v2LSID2F/h01D2GLbX8Rh2LB4gwceehqGofSCrb9hY0TvaiTD PBf6cfOamh9t/wai2/+ZAy9gDiBE4C6WgRBNiDp3BMicB/NS3v3sRo/kolx0 J6c+nAZxGs0JKvMOpzc4vcQJd7j/5LSF01FOvBCnA3TApNhDZfNO2zXxN65l cuF3V4StjYWcmE2EPZiZnIA5jhNcFq/BCTa/Pie2qNSB0+10+8Im1AQsWF2F qni2lKJSxns4N+U+mUIpQvxN8umFWh3NSTnxNl79RL0LfvJvL07FjU/bouR8 HMXJN8VLPpGNsqE9uoCV2FuQCsIaIA9GH7VgQVDPJCnO8VRKhRpLT8naH/LI aOLVt9BFj3FyDFUmP9atYnOvJyduOAUm0777i1+8wQeBbOEWW3lTW+rHCbd/ 4TSBU0fqCHJhZVRWxJHCJkFNxqcd6QfjDjXtNG7PFNb1L5JWb9yB6xOwa3jG SqbsN1t/xY9kxqcd7ftcv8OPwtS8eu/R7p83Ptl8WZWz1XDiDuHReDEZVG0r QSV+rkt1QYGEavBbOAzCWmw1J8gIW2dTx6YaZveondZwWsKJZcQD4eJi/Ohj oZ2+4gRRZBHxQG5YzhDZPsDpVU6vcbqP03BOj3PqwsmRKuRznThp5qXnOOF4 AT8k9Minl37ltEKT0d4TaTOnLSFpHycQyrE5beUEYW8rA0nBMUxgILs47eDE yyWpt5+ToyAoY79TMJoA+FALh4TYHqv05bYf9CqUHwqOawVg/IayVFZIbShN 4ukkp+WcHuXUkBrC868rR+UQPNsanoogE34Rm+knky4nw8Ug0kIQhsjgn2yX U5EH+4oYHN9BQrzK0aE8lOevilQRK15K4zSUEwwDZgcBB4/VHIk8uBvswTEL YXtgg3BkrFfQ/Dh3mNvoVFP0NfN+uh8DMs2kSSHh/ipO6PEZTuM5cQxI/TlB 5DiSFlNRhBObCbqB07WckNeeEzNC/g7mBHMGRZnFaS4nXIfjgA6ieSYy8VVt 4llIwX74AazN9JavD+YX7h6GRha3eHWKjFZN8wa+SC9ivLDi9hVHH85NYYLB bdkJxuveaFCy7/F+J+oE4hD0661mPxZ5F33kwy9RSrI8ypLZHaRsSSSdptNi EVkUYBPsX374se55+85/OoH6T3itk4LZ8gQgMgGvYTOSFQKyiFU7LjPYP9rh APQ32BbYrOEwIDBz0rBzZMgbbchltAy/N4UIY02hPy7yQYGcJY/4GLy6Rkar aaNxRIi4DBEgrKJe+/MhsjmbQAl7ClEhER+80kLQBKyWYtw5h+ZgQnCjBaKu vwLzY5cCkTIowrEbNEL77xaZrFrBSbmfvSZ0GaRhoPYP1/wlFm35A4MH855n NcGFGgXoHhn3JiW1/cf0MYa7rfCFYghq9Wd2Ptz4wToa6/BWznB7RkarYzNP 1OSKF1YE0phPCcQKHDEfBo4gnWyJJOoVGbKEfCbQ3r1Ezz9PNGIEUePGRC1b Eg0bRvQYu9ZVqyi38gcL7N2FqTC6wGJaFqq6hvZjE31rkQvF4LLHwk/AG0kn vSN3X9Qe0ZUrRPPmEbVqRXTNNcS+1cBVezw85V6Sb05eJV5YjGQ5O3zYOYv2 w9lhf0jW3aXPXQffavRHWP5qn27/bnHN03VRBpNNP9FP2n/fyGQVkc94mstT Ury49C+/f+jTh2j8eKKDB51d0gQ6wkb5rbeIhg4latBA6/p8RHffTfTrr+SQ yKHmZhhNhKL1Tt0MSbd/cxwPU4clFBYj4B6Mk3jd83ReaeoXmdTCNv6UKUR+ v3BPJvHCBefuTxytW0fUv7+ShaaY6PPnKYc9glOc2FZKaMrkwX3g5hIEFSsY /Z16AoJp7FDheIrluGhgMwYu4x9OeD0YmdCCNqGY6scfV0KasQuyLArs4Sxb RlSrlpZdzytu/h64b4B4nT0XAtVg+OXDoTrC/v15LuXlRV68nY2QSSJ+BC2H OOE1IDJxBUKI69lTCejHXL90ybl84af581UYwMXBg4kuX3auCyRJIDKFEyLr HpzgKrFgQbTNEbZsTCFQweuREDKECu3cS0OGaMfPPEPGUbjjx9m+dNf8+vWJ DhywPcz4yIPJb+PNnq3iwO2dc2iaOZMoOVkHsmaNNhgXGcpp9tlnRAkJKuAs Ofnt7D/+UL1ITSX69lttMzYyWl672cWLRDmYrVDvnTupoJ29ezfRDTcog99+ W9uMiYbmpRdeUPawYtra4KOTJ4maN9fhT5igDUZHhspjQ61dq8Ps0CFomni4 1L69dvHss9pgVHQocCpfPjUVxezJZGmirl0V6tFHCdKmDUdGxstt4331lbZ7 7TXHaKu0Qq+R36uXSqS0GhEZL1fIHJQvT3TddYTnUnb2008rXOfOIvzyel7R IhzFeSOd49i3e2jGDIX89FMype1uYKGQ16lTsJvntJuG6aEyP6WSgzjnwhZm qmRJourVhbVl7OwxY7QvnlRYRXk9G7kvtydxOe2S995TeDYP9kmHj156SUXv jjtEXeQ1PIbhZcizb3HJvFesSOIK+dk52Zg0SXtt0ybY67DQucvKKZx9dU2s HrJ5mPZWvU98DTqChp09qw2GakeZ3IITugoWFHEL7FRDz+HhmzYlOn1aGwyJ DGXf8aNdu9RMPPVUcG8Spg1QN99MdOoUtZDsVDrD647PPyfhzssvEw0apKa9 Ki86ihZVqwpFzZlTmYqfUPFfDzVpghAA+gHdeo7F89VXSfRwxQqiQ4dsXSsS nVp4FNi6bdvI3q7y0axZSi26Z2sl/7oXu2pEE19/rS76rruISpeWpl4JflIp kV16/vxKcC5WMKZRpKBsWY2dYIzr1lUelCmjEQEbZ780T5DmyEZxbw7LXnxR 5JY2bw6qYZ7I47EvfYrtAPfz5AmuOz/+WHsDNWzIG9jZkMMfftDoiD27xyYE 3Lj2WlWQ4cNlHunLL8W9QaI1HkgU4dq3j+i334g++UTnD4bznnuI6tRRApQ1 8RQXpzFD27bqwu+7T+edRUVHkBp9YOA8stlkBNak06ZpXt68Ysw1Bk8SsQLF aWk6E07YV7OmzsBEXqbyZKoXiUe0Sr/8QoIGCbzzTqLKLAtMdWAE8Mvwf4gc wRRYluXL1ec3FJwEOsoxxNatRBs2qBiifOFCJeXJJ5m/H32EaujmjTc0dHjk EX2Gn2zRQoIvD3XsiH7hzyA23Bt/40r8OYDDpL4cGwPIK59xtGCB9oI3RoGe V65kqdyyBSxiXRDC2JdjzG9GZzSGDxlm8XDW2DSaHTQEFLLMmlLTlgF2arRo kTrOlBRldPbs6qEwvydOOHY3QepyzC30vv460cCBGmOWKiUGSxmdSNlYvipU 0KE/+KC6dcwjViDr14shMuoQc4sI7t+vDGcPJqH+nDlE77yjcwxFfeIJtRGY uNtvJ6pXT50QlBdmBbaSdZ11hfv3IYtZANsDuvjNppircx7GVbiwqDUzRD8R e8B11aghKuOV4CRFNAfaDsN5771E5cppmAIBQuwBemBwQQPX9aGZBx5fAbwC APOBXrz2J4wRCAc18fLpE3th04m3B2IaJ1R7ZWCYMh0RPnOI/UQ+xoLBg9n4 jr/x8Wr0nDzMJ+ogfrS/J9hgUAZYCQ5UeXngdOy3OwbzYG04jjBXnQg4d9wh krAKbDECGyOQXqgr/BBLcXVbcPbsUQuP8AECBoLAQQg8xwxV7WqwZrxeEbmD LXroIZ1w8IxR1czmExaU4CDtxhuV/7CJQGMFFeWHpEMzEbtBMxENQe0++EC1 FUtMRC0wYa+8oqLMbTxQGx4XYFAdcb1HZtMvMwkJwWxBsbCtmCjkJAkrCxTQ MlB6yy1qeCFVt91GVLu2jMSDPnja4eXgnVj1RSPAA8T/MA8eMI3ZuGkTQffp p5/EBHnEEMSLZYIJhyHAG1YPVbHGU2PhlTXe0qWy+uBvCofvjn3hrtTsxNOb byp/nPf99xMMFywZN2I28CdMFXiLN+uBx5ZuOBeEt0Hp9otZtqVbtIwllMsg 5SkSDUCSYeUd4YKMYDUASYb0g6/IZxXzoZkH/ifOVl1smjjq5Le7hSsCk5Uk /ezSJUAvc5NdYpw8Ch1SGcOSOWZdwoAxOw8/rMKD/Qd8x1+AN2wYzOvRQ+vA oNnfE2wwTDbsA/fNysHdScd+u2PHevCcZ/bDcUerpk5VFeG1X2Bv8O+/dUUJ DrJxrGKrC+JU2Ei4ZSgi9Bk8ev99idDqSbUUOneOZK2KOAFmFeoALw8LD4eF gCd3bp0zthy5RKxziRGBlmFqqlVTZqA6ggMwBcyApkF7IM/wf/CLq1er7MI8 sHVfE33IiHNLl9Y8dUt+hAIiUBgTkLGWq2A7e/gM+An4GMDBtHXrJr3a/WSn f/4h2XTDoEHN778HHf6772pYBmO1ZAnRxo1aB36W1crsjUyyc0QIeLCcnb19 kOUXsrDgQnWoEbtq+1pDvGgtYg7IOMrB0OnTCWGOgjeJ3ifIRjZHa4GtSkwA LD4EjCVG12RxYkShBVAvcBDC/P33itcsek+O8wPT69qjW7xYzTaqI5zE1k1J u7sff9Qu0BW6RNcgAa8WkbtLtrvDwgQ2ne21qW93h0Ad6orqWDaw2TJOsAeB xlxCpVHOZkIC4MDmTavofSLcRTYPyw7+/PThh2qAnN0prEEK2n0ihIdvgaKg HAyHzUQsI8htovcJSwADCNY1slkH2cM40S94AMXkkFxXCeo44caworDDHAnu EIFB/fG6LXLPSXbPWHzALcNCNbZHBMcBA4hJQ++IZmAajh934sgEWRxA7EAh xN3ZqB01ioQ0vO6I3v3PP2tTuJ2mdgkYit1vMARliF1at1YSsACGYrJG2f9S toSekIkdO9TiPPCA6jyvH+2ta584YSxN0Bz18WofQp0Q59CE3UAMmzXZPqnz iWDB2MCJsDf32VviYDycPGJMzfOLzIFj48ZJqB7cG+oYnR1Q/gYNNE9FNUU4 jaHDqkKW4WIQM8Oew+JieQ3jjS1zZ+IzOaiyfykroTXI5wnTwq+it4FdQvaq Ve7bwN4VKhSy5eaiDep36qR50dok2G1gVZDNoYsWzo3eBmEOshEluW0DukBf gDYXba4aT2gbaWL/Il1UDwAI+aTmvMjoThtnnbxunfs2WNNBUAOz4qINXD7U PTCKTNrY/2qASBmyJ0yw28yP3gYramRziOu6DfwONgECRtdFGyzgqlcPGU8m bZx/lQHGA1EpGxkt/Dp6G+xtI3vGjDBtQjdxAzMZkEcX6Ai4sKUfmEkXbRAe NW4cMvJM2jj/zgZCIPssRAu/id4GkYGzde62DUw0stmcu24DHuTMGTIeF21g RuE73bRx/tEWOEuYe14VaOG32kZddvj/xCDcdnK4PKcPx46xrU3XR8P0bQRb 2vgCT0KADlDCetREzO0Gxf1evDgi+GQcdEbDFhxPNESE+VWrhsxFOr6GnT/X /ITrT0u7GjvcPDv/XhNcLrInTrTbLIjextnB5OjEdRvE6PDBiDTctkGoiBVf YDwu2iCsaNEiUpur/yFPWDmEnAMH2vUXZl5/2zYd+9SpYep7Q6QSuxqoiLDP BS62Y5DFC8YwdFz179JK2FeggD5/l3lV7BbbJjCzqgiosNzFflOUqtu3k+O6 o1VFjI6vWB1FqYroDl8hkldVTW9xsP+QmmpzalHkerhhwhJxdT2vbQ6wD9xR olW7UoROcRqBQHnw4Mw7xeYUHqdNy7weDrJttmRab/Jkrbd7d7h6wXNSbEIn Jemgvw9fBeuKypUzrYJzqPbtI1ZxmIDz2whVsIMNMJyTZazi8BwbcfYrDM8V xxm3s74K0xU2xGGbnYVAuipqHHC4hbWRlC++uhya0axZ5HKEjb17Ry4HhTjG yayc19OZli9fnnk5riBdVR60fWFaVaoUwtsw5W3aZF7er9/V5c5/mYGtGtTB 7qiUL0lfzvMv5bxeDlv+3XdaHnAdGcoRCqCcF8Zhy7EXj3JepKYrV/cZ/t5A SOgUcNihbRuGjF0yjBOmXhXmQIlCchdFBghGA453RiTltvuIPwrOkBc6ReEi CE9GJkRsHc6n/m8qp8DL9X+XFz1DfiHmM2/0qp4YeLLnBk94541eJV+YKtLL qJBePMjNFnjyBJ7yZFqaN0xpNGxv4Cl3pqXheg7FllWIP0CPPMUFaooGeQNP Qbq9gXr+QH/h2JY5gD995/EuAULpzxEo94TpID6Q5wvkBTuQv95Izbzpm3li g4pLD+VLPzsuoEIHmz0MheGGGBeGkGALb/ont20z1PNl2vY/ozoly7RmUKsM AvPfpDDYX+YckY3ouBjoSog+F+Hosp2Fo0dR+5W+fOnz3PPNk/4pPvqMpQTq uaDLxchD6cqRXhqCJjEcrf/2HPuyRmvOQJtgzSCtGayhNyBEQUIyV5ZwLbJF go/LtFko1QWj0xqcVreK7aJFhnrhWmSRTHt3NdCSnCjNBcFu22aQGhdtww8i g+RmCEciymuGesmB0qBz9YapF0qDbFKIJSoeeCqBp6D79wfa2Ne6KPCKFJqZ a/4f3zPfOg==\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotActInhOscill", "[", RowBox[{ RowBox[{"S", "\[Rule]", " ", "0.3"}], ",", "200"}], "]"}]], "Input", CellChangeTimes->{{3.417826740556896*^9, 3.417826748544703*^9}, { 3.417827268420118*^9, 3.417827268573491*^9}}], Cell[BoxData[ GraphicsBox[{{{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwVl3k8lG8XxlG2H0oRIiVLslSUItQ5diGUfYsZoxl79iUipFKklEqifZGS spSQqJmx70sk6wxKiqKS5X3ev+ZzfZ77Oct17vuZ+7uZHHjYi4uDg6NvBQfH /39lLyzezdnYuj9Pxz989OWtfaV8Spv8aQWw0fQPl237XngX+ezeVtpbKC8b cLif7AAZe0ZdhdIYMFuwIo+iQQO6WhCVh9YMcanl29OqQiBm3fKr5VvtwNN3 +k/5sRjIvGS0fyG1G0SGVnwy+JEAzPNtprPUARge4J3vk0iFH0mCY5F5Q8Db 4iS9c9dFiK0pUPp9awQeibtpi7MyIBPnnv1MHQPHh1snfF2uQ6124utJ6ncY 3u85xbPtDjzRFTmxu+AH0M4XaveduwvTfZTc0LxpUHo5fnxs4h6ckOQbnrn1 E569neNNu/sQrl61pH5P/Q2DyQefPl71FOou9gWNU5eh8eFB/cnvL+HMtcza DHUOrN5Vc3pvThGo0sB5VwEHnnbLFhI+WAzBvBePB+dx4rnxnmt5+SWwZKRR +ePWCqwVOvatPew1SNREG3xL5cUac415Vf238OaSXMd5AT4MKdHzpXBWwRFy A0X1LB9azXTJ3CJXwT3Ojcm+SfyYbpBYvmrrO1DHd8yJaAFcq791SqSqGswq eC3Z1NV4IC6hq3EHHdSXybNiP1bjWFAVFD6jw3kZ9yY5XWFcM/xf1t0dDAgl l4XZvhdGq8+5miu1mGDIPva+uGMNVo0ZTv2h1IHW6Y0STRJr0cboh9HluTpQ 3drgy3Zdi/sLyH/HU+pBxEdRRJy1FgV46Hekyhtg+Fs/KXJWBA3qQ05ZGTRD V9q54vS9orjSLf+907dmqNuxl/9xrCi2Jl5ODDrYAi+CLj//yL0OX5lVMf05 WuHkrNmytpgYvniknn8ntg1kFkuzF/dIYNO7M/prBztBNMfrx7rjEhgYZT+3 YN8FfCBiuP2tBIYZ/7AhtXTB9/iAr0dM1qOi3YE7+XXdULlSQbvKQRJthffN p/d/BDfBS90JkRtwWZlk+TP8M1g/BZUb5RtQ52OswxWRATC0/HbiJYc0RrwU GWcXDoBquumW0TPSqCLnXRYUNQgLIsuhRtc34tkaWsvqqiFoFNrDv9JNBtUk lS8GGoxCm/naa00xMsgtuZKRmTIKPWentlzPlkFe/auyXi2jMMr90HD7Jxk0 mC7f7eXAgi8Gie1//smgnMuavEPXWPDjpDu5Rmoz/g3ZW+7SzYKFRfF4R5fN iPImlg5WbODS/bVK7vhmHOeX6RY/wwa+6Jab37I2482Rz46XK9kgMnfmTULv ZtydUmV3Sn4MJDS8zA7Ob8Z/ta/WsWzGYGOw3kdxSVl8ND4J3fFjoDz1dy7f SRaPduR9DGofAzXVrlMRUbJ4yn/z0ua/Y7DH54Wo/nVZzI358SVkwzjoPkq7 K/haFn+Tu58E7xsHfbbPzu4eWbR3+yOi6joOpvIm727/kcWO81fqCiLHwZIs Z+0nIYeVdmrmqzPGwfbW8uc9WnJ4yAvj3Z6Mg9PnPn9ORzncbhRq/ezdOBzZ 8GqhPkIOy3OKT4t1jQPF+fK5zKty+Gta2OXJ+Dj4XDsmSSqVQ75rz8wT/o7D sS6Lxyrdcug+6vnxOd8EhIsqac3NyeG5O8VuFmITEHOYm1ElJo/8FVebvWUn ICF9yO7cHnl896ewUnrbBJxpqhi1s5fHbhc/gZg9E5AmmBUiEy6PAh5SK6/t n4DLZuFcX6/I44s3ExJJRhOQdebwxeJieRzZoiN12HwCcunbZeI75THVgtW/ 1noC7q0UKDCblUft85XpXTYTkKc/tm/dOgXcK1vinm8/Ac/jaxoGNBRQZ9mr 647jBJRU5rrk2SqgqvB8IsNpAsoXjn8JDVXAUwmn3BWdJ6Ba2zEKLisgFg4G NRHPmZEafP8VKWB3+HYtJvF+U4nw1Y52BQzP3WS3yWECOn5NKuT+VMBBrR+T /bYT0LuztshbZAvSJ7SOCB2egMFj9w00dm1BuU7/yyWWE8B6drJt6fAWbJSt 6B4ym4Avk26k2uAtOFUy+z3TeAJ+KGv/yLi0BYUfN6n1603AwoMZIaW2LZg4 3S6kpTkBXKym7J/TW/CeYLeUk/oE8Mk9Ualco4jhfUO75VUmQDTX84DNIUVU 65zybZSeAMl+6JEOUsQPNsGyxcR8ZKQ2UMfTFVF2j6uq8+oJULnakRTboogp hXwuk8vE/rpgVPXQaiu+O1f/+/LncYg3K3rcFrAV074GJf/tHIdKbrmMxdSt uCieH6/ZOA7aMRxHbRq24pkuYc4Db8Zhl/cbgWVTJezjDK35d2Uc5A3UHez1 lfHiWFqqiMk48PzeMLVytyoub+re+Tp3DLx2zAupC6kR3+tb63VN2HBQyWta zEQDWXOnUyf9RuBFR2xYrZYWJg9+3s/RMQg6a5ULVsbp4mAn7TPXYB9Q/126 ed8Rsbq7SO8+sxMuW07WRHkg+hQm7jQt7ISq20ZfDtIQQ9P2bfhyvRMkTP/s mYtADJyRnlHx7QTmZbcW46uIWo3XLxYIdYLS9q0rxjsRw7/N/Jk/3AFfPSpo yjZ6aO7Ke3DrUBtIFIldWHLWw7onU3PWdW1gyHusuI2sh5cvhF5OetkG2U9l uY4H6+Fr8fKsVcltYDF/+kb9RT2Mf7KG/kalDZ5mHG7ya9HDj5NqFlNRrRBI H9tVcFAfbSKBJ0mhBaow31fVXh+FJgtZjqtbQPjNsbuPj+gjh9fRXTkzzfC8 4O/ae4H6uJyj/tzwRjPMXBOYuXZRH2Fa9Ob3700Q7rvjeUKnPv4NvLlv6mEj 0Fk/x5b79fG220U/anwjiHu82hTL1kd+P89bWk6N8MpW70LEb31sbMptHBNo hL/7bAL81htgT/yhhOthDRAjHKFq72aAxkpp33e71ENDig6l3csAD2/c6Fm4 tx6kuTmyrQMMsDkMua5I1EPl3zMC5nEGGDL/t/Vqdx1wjGR9gdsGqDS8Xi3X uQ6s3dxlKx4bYOj0QFOgbh3c7pZz1n5hgAvJm0aebqwD/Yb8Wo0aA9TbqXI1 dLQWEosrHymxDHCMe/dVrbBa6NiROPjgmwHeF/T4cdK5FuTzTCTk5wwwJlVq tS7WwvucltMbeQ0x21e6eoVQLfCcGT4qomSIp3VrlthPmJDizKOw6GeI+pL7 nESXGbBfTXBuItQQb90JyPwwyYBp7rWMrhhD/BpdIdnbywDHQmnv5+cNMa8n 5KTqKwYo8O1+6plviPw6AxnBEQzo6dc+YV1kiAsLsXN7aQw4/xKt9pUbYnXa /gOeTgyYOWIxLdZgiHNx7R29ugyoKvbcXffVEFuZCRvt+Yj7wDlvntKfhugB Kn0KC3RQJAV23/1niIJp3S52P+jE9/F4VKyAET736vBp+0gHveF4Mx8RI1zD plhuaqbDr9JkKQcpI3y8KvFB3Xs6uHheqlBTMcLZz6UOOoV0WLX3Wpr0LiNs fag1v/yQDtWrctz/0zFC1Tz/h5tz6bC17DHnqJkRyhZ1P41Oo8OnCwVtLYeN 8PTq9aaFyXS44FV8t8LZCE+OHTlmEEeHOeF3Rld9iPe9941FBtEhj00XSwo2 wjf6okFSvnRwK28YOxZthHcvti2Le9FB+FLbK7cEI7ThMFcLcKfDe2rPWbMU I7yZvu2WtDMdIvZ9dta8ZITrZwu+KtjRQVlkVEU+ywhdL488S7amw+fxiQXh O0Z4/xQmgwUdLlZ+b1x8bITjF1cJW5vSwfDybM6XQiOUO/xtotSQDn+8/wV2 vybet3EpDNejwxPg1Hv/zghVZlVWnt9PhyPreNcW1hLrjd0SfuvQYe1XwZGb rUbYv02i4dVeOnyoWluU8tEIuWQDTzZr0iEyU+JUxJARikdk6+vsoYOq30Z7 yoQRhnAFvPinQYdBPXnFQ9NGeCiyOUyY0Bniyn/2/SX6yy5Xj9pFB+NvO2qV OY0Rdqmf203o+erdWeL8xsiT56hoROhn13R8V64xRnOkFTwkNClAT3dawhg9 Nhc2uxLxRA1NhD7LGKPjv0salN10YK4/+LluqzGaxvinVBD1xHw/XFCqZow3 WpZiaVp02PHBMf6eljGed9/6jqJNh+GsI4cuojEO/+fF90KXDpnHKLInTI2x 4I8anzXQ4YCxz08fa2O0z+QN269PhwWpY+8dHI2x8urflbFGdHg+HXbF0MMY W+0dQwUO0MGTcfyoOs0YW8rG4ieIeVB0t1jOBRqja7SlFOchOhwtbNn9JsIY PUP7yijEPGk3FLiNThP9yWyQW03M30e4ZZL/gjH+FXJLtKPQwfdUdEdTpjGS A0zXjHnTISCw+a7jA2N8J6nx9UsYHY6NRp2TfmaMEhoKA64xdAhykg8ZLjbG rLXqB9cn0iHUIErf74MxXpYX/nvsIh2ixeWG4kaNUczNufYqsf9jzjcyDSeN cU1rymunMjrEckY+5/9ljPWx71S9augQ/7UhLmOFCX73uG7r2EWH5LfhGx/K miAFVQ8/W6bDGY3NPH7KJth5T/J72X8MOPu4/pvaThOc4A5mCosR5z1DpqJM zwTj1iWaXtvGgEvUOpcmDxNs0HctFvdgwOVPoQYZNBP8Y0wjB/oz4MqhTSqO x0yQa/JcjfBxBlzTCZ0fijNBpxb97epXGZCzeuP12RwTFP2gVzjZxoBbScz4 sgcmKJ80Lpc5zIDbf4Npcc9M8GXEk6yUGQbcG2Fo8leaoPC8X5SdCBPySoO6 NvSb4Ivm1abRjkzIV91QOTRqgvfKc6YTfJjw9Db9/oNJor+yLd09MUx4fk4q TG3BBD2pTwr87zChxP2DiKGUKa7YCbuNp5nwjnf9IV8nU1xYT6oUzakF9t3t Zh9Jpshaa12zobQWBNHQwMTHFLl1FE6faakFx8jA3XLHTbH098KptJV18H38 w/q+bFM8kpom6hdUB9J1wcNmg6a4NWBTqoF7PegfPdP3atwUqfYav2ZP1AON K6djy7QpetJ1tmzIrYci7Vo6F9cBzOZWF6gdrAfzJ5uelMkdQPbRfOc67waI Ot8Qokw9gN/s3o0UZzRCztZhv2uBxPrRmVLrN43w/v1vL57IA8hQP/U9YqQR hBdlHYfPHECh9+l8Ibub4KF/lG5W3gF8mWPGZTPYBJ2WW7j/mzqAI2Hh8g1K LTD/RWcpYu4AXuPaA1H6LSBz+tBv1tIB/NFyQuOESwv4vY2ZeLfaDHfVe01c TmuBFWrtjVHqZvic5V4p9bcF1NfEZ06EmuEZsQ1inYOtUMbXvZURY4YzhmHj mYutoM+x/c29JDMs31k//lqyDWy/9w24XzbDzQbMia32bRDeqKnU9dIMbwYv 17W1tkH52e9vqmfMUDp+8eHN/nYwOmlseWveDKtWD6Rs4uyApsibg7Fc5uhZ 8nenpEIHDFDNufeuNUf/iFju+IAO4DJ+aFmgbo7L19NeafF2gimX+9CNY+bo ccLN++mhLmj9WxwSFWmOZpnZIsdiu8B5WpDHId4c+RpNS6ofd4HvYJny2nRz DHneWrxhZTekVYqFnikwx083IeHd227oiG7iCZsyx5mmyPQ4G4L/ghWuH54z x0bzn1l5Zz4C2ztGRW3JHN9mNdkFVn6E347K1l+FLPCttcl0jUovSGomXydt s8DS77cHkoT6wP3nPlVLPwtMCP24dvXkJxBcy9HSEWqB27Y9sInc0Q9latUh LrEWWCEgnRIU0g+iAcZvaGkWONwe+nRxoR+Y45Zmic8t8Pu/Q4ymdQOg9tmd 9uqXBebkvUx9+mQQ+hc2C8KiBTbfoZZuaRmEFKnRgg/cB3G7pX3GnV+DMOpI +90mdhBJBZ8Vz+4bgmvtx5K/aR3EaPOn6U5NQ8BRe/KebOxB3KTwtWmANQxP xwxMH586iMFr/sod4h0BZx6eyR1pB7EkbDzIbusIFBmk7NqXexDJnpn5/2gj QKu8VO3w7iAaLDZt/290BNb12x79XHsQzTO4JI9wjkL1P7H/vNoOosNTWxHR jaOwYe+NQ8EjB/GE1ZJKht0otLy8O3ie2xK9gr2HfMtHIbbNK0lklSWeL+bW du0YBeVpxa1ZYpY4y1yeuPh1FJK25wc+VLTEsX97g+niLFA/GCCyXc0Sq63N nlSrsuCzr1ppkZYlpiVlaywjC7QeFy29O0A8f7JNSYvKAhYj/I7pYUsU64vm 2h3FgktsLeNmZ0s8Jxk7E5zCgkm5itRPvpa4+m1SSEkeC67rx6l7hlpiw5Uy 7revWWBM0uuciLHEuwviKauYLLiV82HD71RLLM/Y4nBumAU3XFW77TItMbCe myt5igWZkhkXi3IssTg8r7P7Lwsu9vw1F3loiWf7JU4nrmTD+UwPnuACS8yU 2CF8fhUbTtsyqlpKLZF3hUDcL3E2JKzdfnxHlSXaxjr/fCvDhsi0f98nWyzR yMRVOFWNDSEW5Dzzj5ao2VcWfEWTDQH/1VLyhixxyj7ffNV+Nngzd2zi/0LE FyoS/2fABkpy5kfqjCXqH+Fzcj/ABnfDxQz6PLFeiHJlvyUbnLkolgorrJCD 1GyTfZgN9lV1fEkCVrg9dp1kjD0bDp1QrxkWscLDr1S9h5zYYKF7LVZvgxWK /XOuaHZlg+n8kuYteSuU99h41sydDQavvGaWVK0QLbI07Uhs2B/ekO+2m3iu /HDLTzIb9mrsopbvs8L1orWPFSls0Ji5vlnK2AqVPp/gniP0juccn6IsrXDL eG4QyYsNygHUzB57K9zH17vKn9AKqk3Wmu5WSBnq+CtFaJkvGgKZVCu8tXhp dxDxvtSjGx9+BVrhJf66wkBPNogd5Yq3ibTC6w1+jpJE/jXy3tov4q2Q6cOY CfFgg+Bw8y/hs1YY9ntoX9wRNvDe2lMQeNEKIxZ2fd1P9Md15KZ303Ur/Lby VEox0f+i1Er5bXessL1B5T6L8OfPR5/P5/KscPNbqcJWGzb8vNp67csLK6w4 d4Y3xpoNU3ZaNgfeWGEXO2uRbcGGCZFcoUc1Vvj05GKjKDGP0VZuJk+DFUr+ uZLDa8SGvoPtuu8/WWGf35ZHhrps6BLQ/i3LskJZemrnJWLebbW3Ck9+s8KQ 9HD+ZzvZwDQK2AJLhJ+UksrDW9nQm7OSr3+1NR5dNl5xag0behY1vQRFrfGW T6WzrwAbOl19q3UkrFGqN6JChZsNLZJtMVky1mgCIzvwDwvombnTDurWGKRb ktj3iQUv0rT72g5bI0km/3nnLRaQbqziLrO3xv7mjYkh11kg/Gh4+21na1xm Xd+0fJEFAe9SEgLJ1qi4xXHzcAILlH/1KgkGW+PW7aujxjxZcMfpeKTRRWuc 8pDT95AjzqN8+bpXzdYoO2Et+CFrFELK9lnftDiEQp3M208iR6Cy7v7MWZfD WHzXgRTIGgSayd4Kb0cb7E89H86o+QQ3HqkX+/rYImv3K02Bb11A/+jJzA2w RYprkadNZxfM/JfZ1x5si+lnTb5eregCM/95Tt3jtniLceWjWFoXzKvXWAqe t8U1H8ZPzGzvAsc3tuP5T21xLz/PlOOxThBripCa+mGLFoMG+QK/2kF/+fF2 2Vlb3CCWJej7qR0C1D7p2f+1xY+dvzVa37fDh0tIq+S0Q7W/h0peXmmHUAf+ 4rS1driqhdH8WbMd2gezLHdo2KHf5yyj/SfaIP1nxcljEXa4KaghZlmsFfzb 0kmux+1QTtzM8wVXK5gVeuqZxtnhGwnFJ9FTLcAdyM8pc9oONfZneh2kt0D0 F9v45kw79MpdcZs/ogW8hr6e2F5ih38nN1zKLmsG/arKI5JldvjH8Hic4pVm kMm9uJ+n0g6T1TU0vgU2Q6+r5lL/BzuMTnDuVN3SDNY9CbGpnXYoLbkp+eqV JtBuXh8z+csO1984c2mM4HGJZ5MuPX/skGbpJ53m3giz59/qvF+ww5iTAh9i 9zfCczOvfzdW2qPLJr9kncUGUKA/jzYXJXTJKV3jEw0gXGESlbfLHplnXK5r XKiHbzcknTI17VFhp7RkTXA91EV/00rQsUc3rs8B9+3r4ZRWxh8nA3vs9MjP o26qh/mXnyP4bezxjFJo4feiOmDlhYXTgu3xqJGmnfePWrCVXvr8KNweeXSX dsV2E3x9IdlkItoe6x7uqJqvrIU7oVclfBLtMdzJaXrXhVrw2P+6zPeyPU7X Nvff06iFlud6cvnX7PGakUiY4KZaALm6c5PZ9nha30dngL8WNvL1ufrft0ez EMFn9EEmfGpdWAooscfBqI+cORlMsDA8RS0oI/LPZml7nGTCmxKhlu+V9jg+ EFmcGsiErBsbbx9j2OP6dQpSygeZ4OiFBsE99viCbHbAS4gJzG7mkxef7PHN nlaHE0sM0DQ7JPpz0B73SLLOcv5ggNgOMitkwh71GUWxRh0M6PiTeDps3h45 hi2+ld9mgKGv4I/iJXtUHv0cK5PJgJf9lx3nuBxQ/FWdymQKcd+vvq8UIeCA ZvE3HpSFMYBr9/ZLpasdcOPbho5yXwYEPSyZ/y3igKvt+z8rkBlgfZ5RH7nB AYtv3NypYs2AqiUrjdcyDlh/QreJbsKAHUE92X/lHbBgrGGCAQxYZT/hH73N AY8qjuz5q8aAE8ygrjJ1Bzynvv/5VmUGfNOe3/9vtwPqvmrRLpdjQMMmAeGY /Q54bUxVcJUEA3QvZUSW6zvg/Mi2q/VrGfBk5YahBWMHzK9e/earEAMkI+4d 2GfugK3V59cH8DMgZUL1RayVA+Yq+tke5mbAvEuxZKWNA/51BKFrnAzwbtqX uORA1KP0h71/iQ49SCe+6w64wb4oyfgfHUxfWtrGeTjg9/MHzj77Q4dXCt3l bykOWHg89Wr4HB0Ur7krcHg74Pu0aJucXwSP/jeeiv4OuK16gaLwkw48scfm 4oOI+qISQgRm6BD2/c+Rd2EOuG/L0S3W03QYJZ1kcEY74PLAOoWfP+hg28Gv pn/CAY0tH0j+InSN8aVrCQkO+DLYqfjw/9cffdMYnUzojakHlgm98vQoV0iK A751vja7QMRXeCik5ZtG5DPaGWFO1GPM2OPveckBrfLepn+ZpQN1zP2OS6YD nvJL5+n9TfAg79lumyxiPv292evn6fBY8YWgRY4Dqll1ij9eoEOdSZ+e4R3C f4Vs3TMEP36lrozQfeCAbu/Uu0q4GCB4Zlu+Rp4Drg8hFWrwMGDbI/sh1WcO +GzdRBYnwZeWzDgxhRcOuJiY7C69igGB44/MpUscUNQ1teE0Mb90vrb4dWUO +Ev+UAmKM6DNVP4rdzWhzSNJNzcz4CftoMzSBweMWp3djooMED0bbjdX64Az 52bldhJ8al/LfMtudcC9vMy6xb0MiJiY/vW50wH/6UpMdCPBo/xSyt0fHfB1 pZn/MrEfew/4X2YMOaCjkpnBHgcG/PPOrH3LIuaVY+Np5M6ADSlvl0onHDD7 HiX1NpUBR+rWeD+aJvLXJfRgFAOGzUr2neV0RHnfdFPJWwxY4TsQfJLbEU/l qrak5zFA/hzfoyh+RzSnaOjbFjPgaL3zWp81jth6vJunup4BX8yX2WabHbFT ce6E9gIDBPy2bjBQcMSURnLven4mqJ4/dEhHyRFf+/57ZSzGhICGu29U1B3x vM2H8LPqTJi2ME0X1HNEVtCqB6W+TFjrH/RhpZEjSvqsC+A9zoSdqVnzC6aO +C2/VfFBChNCGycp36wdkfe70rHWPCb8OXhxb5OHI773u9vLnmICh1Xv8IV4 R8zVUjjrmFwLzEo7udAkR7So86q2y6qF9O2tno5nHHF8LOnovWe1ILOKOSqT 7ojuRREtmj21gI3F7MJcR3zqIk4y2lEH8eYXv7RXOqKNbdi22G91YPpGUOVV tSMuJHZHt/PUg7DKGd9suiMe38MzlSRTD7f+i5ukNDliYkazxYJtPVTV+k3N 9jviLbvIEZvqeuAwNZ0RXyTyfYGwYwUNwCyt2bnA4YTF17yvDjU1QLoihAyu dELr0Orh8qkGkOHd8+uRoBPWuQwFluxoBKTLze3d4ISpodLHu0saId5w+a+L jhN2X7p5a7a3CUyLorURnDDO4/bd25zNICw/Fy1v4IQq+RYRjVub4daKb/8m zZxw2aqzNy+yGaqqexdjnZ3wiASlz251CyxjCeetKCc8bJeYn1/dAs6GY3U9 sU64I/bl46BPLVBkInF5TYITKh5N88mYawGaZfSWxBQn1JneXjKj0gotLvvN j95wwvLC20KmN1rhdjj9smqFE15V0vp4K7UNFqJ+u3m9c0Ldfg/fkadtYB+7 VTHngxNqHYrxudHUBv8lpbxe3eSE+Tu8HgWvaYfgi5afZz47YRr/G9L37HYw yO9SfM3hjA/dW88UNXRATgHv9PRKZ1Sf31kkN9sBf15olSnzO+P9rzRuhY2d kP86yyJ7jTM6OMzvZgV1gijjSFCcrDMOtw6In5fpAtYQu8zI0BkHNuf+7rrR DcgSTzph6oz5VyV6lZu6IWvc9GCphTNWhXg5b+XsAcvveQNb7ZyRqWlhLefd AyULASsFjzpjTGp90Va9j3Ba/PfBttPOOO4mleu1pg8uMZkj1eeccajwX5yZ WR/kRGVFvbzgjCdlVEkViX1Q0rfv/uWrztgqKpRl9KcPRnOTFuwfOiPV73ve jbFPoLd17ZM+ujNu/23pQfn0Gf5pbeNjcbug4p9znN7Hh4Dny9LNTn4XtDTT Ld6bPQRrb7Tsogu54FXTjpnJ8iFQXgxxf7jOBfe+Jt1kLQ6B47uyEm8FF7SI GDuRHDsMlODzFs5KLuguQVnfnj0MgXJHhs22uWDwFAZ1vRmG5FOcq1R3u2CO YU761z/DUHzA1GvK0AW7BwZT3gSMQNX8+n+fTV1wXVdEo9K5EWh48jW92cIF m29R3io8HIFRoQvlz21dcJ+Tx+ei/hFY29YpEkJxwQjqgESl4ShsTHz42JNG xC+aGtriNgpKGlFg6+eCN02F9yyHjgJmbvDdHeqCbS9lhn/eGYVAZ8/q34ku mOG/pfvF71EQzP0yqHuG8EN2Jee8IAvyRoKWT54n4me8G07ezAK2X7yu4BUX HDrU9yzQlAVJhbwuh6674Irlert6ZxbIzqVFZd50wZWm6qp+fiw4EnezROaB CxZWt16JT2XBQo18p1eeCwZM/wuYy2ZBFl/+z7xnLnh77RrOkics6LxYpra7 1AUj1TZ+Ws9gQXCXnlX0GxesvLMirLqd4AWpWv+3b11QTbiCVDHAAot73XkH mC7Is4u1oniWBV/Gj9SmNbjg2Z94snSZBWe2scfaW1zwjYBQnzg/G7YE+/Os 73TBLoqj6UeCb2pKfskf+eiCU7VmYsvr2eDx77jB3X4XNJLa+Pj8ZjYswQry +JALBnKqhZ4i+Cg7KSV+G5vwS2Lt/OR2NmjXrskN/uKCB+X1PtA1CF4Sul5R OuWCOoF23mLabAg/LPNpYcYFi+SaowcIvha9+nBe77cLDudSLikQfF3Yt339 6X8u6NUfaTBpzAZLmRLNhmUXXB96YbOmGRsmKfvs16x0xbiSxGL+g2xIefw+ 1J7PFUc8uE9Rrdiwdco844agKz6yvcpje4gN9J3thYPCrhj8bcWTNoLHKRHO LQrrXHFKQbeFTfAlV/nQlM96VzQuCmvIsGVDLoe30HNpVxzwOjT4idC6Rj9U Zje7og6V2+ADoXvPRphpb3HFTnuaqDWhI5uWaHHKrni7IsA7nognJpJ8+v12 V3T89Gq/E5GvyEHoAf8uV4yvqU7qJ/j1cPbl95aarrja1kdEmKj3x6DUSIaO Ky48div+SfBsqsJdzo/giuHTUxvOEf0q+yjLbDR0RR55j6keE4JPnxXu9zR1 RVrcoZIBQzas1Ko6/s3aFfU/+f8nS/h5J8Yka6edK+7eW2pHJvzGd02vIpxc cXOWpLjXHjYcN+uf5SS74voA35dl29ggcYEianLUFQ8+UClfo8SGkvavO8/7 uKKQus21XfJsmHGdDxQLccWlQ9W+A8R+SL99Ms0lwhVd3h3j8xdlw3Y239Nb x13RqKe8tmEVG7wDxb8oJ7li29VhG/4VbBg8qUGBK674Rfdc9+0JFiiIrUo7 dt0VO9z1JwRGWOCTN1Z6+6YrHm9oVbIj+PhnW5bAygeu+PTpxpmzTSzgked8 ySxxRdZx0503Clmwjd7IebiHiL+txHBnCAui/6PmUqTccGm35T3LiVEQybje e/a2G4onZVunvh6B+8LKUYwbR7Cs8Tld0n0IqoI3GSk+cccrHA+LZWj9kCNz a8M+Ww8sj7LuObKuB1alqDO32XvgsTC312+XuyHuZ3XIRkcPXO3E2Sj1pRs8 6Ky6ZRcPPFB06uuHym6Q9VOJqvb0wPbhkxOj1G54UFrSaRLigS6/Huv4vO6C Z5aNaYcveeBKQR7eF86dUBEzz0Fr8cDLCW4cbXfbYK6A/SOhzQOp0q13mefb QG2kbfBmhwemRAd4N4a1wb0DT6raezxQ5uHmjBWmbZAi5hoPQx64u2I4ZOe3 VrB/XrEsNuOBF8PPxm7UaYXvI/FLH0RI2HDlXP90WzNsFfefGlxHwlindeGv 8pqBbOb0+Z84CVHDQaQ6oRm6nqtXqm8g4Rkr6c13dzVDeexw7E15EhpyBIVV XGuCM+KGi6G7SegjuZPXKqgRqs3Uvl3QJOGyfEB308FG+Be7oT9vLwnpw1S9 u8qNEDD6q3xwHwkF6cuVB1kNYFt4P8bCmIRsbUvzmiMNsNmcd0HOgYTOra/2 fiXXg0anQZukEwndVjQ/kjCpB2P3+EdrXEjIZTXQlqVSDz4hf22Xj5AwiFFp nDtbB0U3vj7tPUrCk3xiwcWpdUBX2JrUSiPhQvG0z5XQOugpoDgzfUj4qPtF cqNLHSzW9POUBJCQaqHna6JSB8aTze4Xw0loIFC82qepFhzDBfeciSTh5VN8 1iKvasGH44BgXDQJr3XR2sXu1MIF0epXfidI+Gv95qBtEbXQo1u0xjSZhOb1 +X+zFYj1qddqlq6QMEJczfAawasx4p3XZ6+SUPu0Vd1MAhPSbq85NnmdhMoK btcfBTPhZXHKht6bJGx9PV+pYMOEhf6YsOL7JHyfde2kpwQTVtFem+c/JKGL 4tj9K/8xYfPM7Oa7j0m41a1hu+wiA4x5ApvSn5JQiMey/cAIAy5sJyn6FZNQ lLMQml4y4M6rm4vkUhLK7biQ3fSIAUX6ve1Or0n471ZJt2IOA3rsbeJNKoj+ G52XRs4S9+vBC/b735LwrlheiHE8AxZ9GlR3vyNhxZFDXRwRDJCNM/oo+4GE H08FusV4MUCDP6FgPYOEki+YS7puRD0ZlaeEa0nIrVxwytaOAb4PNXcuNZAw 1KNR5bQxwavqoXyzTSTMe5ZceZvg2fQ3zz9/bSFhjd2s9FqCP4qalc597CDh xZO8sj9Viedy7+7Pd5Fwi94pj+9biHgRjlVSH0m40+2TmBXBN8b133t1+0hY OGs8vmYDUd+m07Nu/SRM5zgVrknw0GLwRuG4ARJ2yrV7viV4qYderHxriIQP RJxsHhM8VSR50OjdCAnVkvaP/yJ460LAqPswi4R/Ux98uM3LAJ/q49ErxknI LxqdWrCSyCcmckX+CwkzLxuNShP8ttknr8BokoQah/cdmyT4bqFCr+7oFAnD L1zplvw/D6/5OHr6BwljeOKqHhE8+NLr2PKjGRI6HHdsuULwcdprXsm6X4R/ vdPPhwh+9BHK1fg6R0IFLZtV5wltTNpjJfiXhG15SZcvE3pzcaP3tn8kfDZz 7vs8oRf4vJIsF0m4JlC8vpKI1+O6kBO4TMLh4OGegf/ne57xOp2TjMKijo1u RD1pK1U6CleQ8SxtxFWLg+jPsXqqjZuMv7WndAKJfozynfh/8ZIxVXXVJi6C 92U4puXW/UdGm75D1T8IPxZszuzfI0hGs4LuUW0BBnQ/3OTksIqMx4QrjQYJ P1/8KwmJFCbjn1bZe4OE32lWlmnX15JRvrfmrQ4xD++7rEdlomS0m5YhTUsR 8c1FPy9IkJFMKaP4EvNdyHnyR1qKjPdkG47sIObfPaMvAtJk4r5ovfrgTiJe VpDpyc1krKsanLlM7B/vKT7PO3JkDOSV6ask9peh/q3YGgUysv9FD+pZEnw6 0fSCW5mMa+0fVxw+woCufUcbt6iS8b+f8dTBo0S9FxfHTLaT0XgpmUEPZABt r6p0yk4yPtq17HAzgVh/5uzpVTpkZDGEyo/lE+s/ydzZsY/o/6JRW3UpA1LV XpVbAxlPeH0P8q8h8vewpy8ZkHFPnkl6Qx8DChUNXcUtyDhOMw4qEmbC+eN9 4VqWhN+JT2QaNzKB1hx80cmajOcLnNVhGxM2Rtym37AlI0cEXU7NnFhPX1KT cSPjxbenJ8zPMQGD2OrS7mT8RhPdLHqDCb+kmnZKksiYMCz9W+UJE1yDbmqI epHxRd7SQ/MGJmzboKvF50/GnLtXnWzW1sIwXW4vdyAZBVtlpm7J10JmkIA2 VxAZXe1ty1GzFpbovToLoWRcLKVdjnSrhaagKPgRQ8ayt59+dzythQTiv+Hb CTJKB/Zvq6quhT0MU70v8WSM7n+qzUnwbM4GCYPRJKK/PZdHklfUQSCjxLjn PBlVB06vLTxSB8LSvw5WZZMxiL7Heu2WenjP6LOsyCHjvFB1z32sh8jgGquy W2RUyBlWzXKph0HGpUNF94j+BLa+fXSpHgqD1e0e5ZMxxHuqPJy7AQ4zA1zT y8nouKje+3qpAXhC7N1SK8loPnjpRvOmRiiT3n8kpYqMh4D1116vEWRDhDyS 3pOxh5H89O2pRpiRzveMbCBj8KLS3U2iTZARMuHj8YmMXYd8eUmmzSBpHB1k 85mMq9pMZ/2PNcMdCYFI40Ey8gXtj12+1gwvKlRPqY6S8cDjdoXSr83Qwnss 989XMpbP1bzpMG+BVdlz7en/iPU+e2fucLdCZsDp3sRFMn7++mDtvo2tIK0n MRS+TMYO2e7VSpqtoMreO+W6whMDt0rK//NuBXO1WD4lAU/0PP0z/FF7K5x5 v2LfO0lPXGhKsdv7qg2Er142KNrgiQdS80+d7GqDq94KZg83eqJGtmjCjtk2 eLDKxCFV1hMtn/mSqne1wwfHlCAnZU8s/h2V+qW4Hbi+CT+Y3uuJt+VUziY0 d0DK29v5ozqeuMvVU7LlVwesubTzZfc+T1yl+npdlmQnyGjaVlXoeWJ1+2/W I2onwMmrvWcPeKJx2arlbt4uiFm3cbWskyfGalqEXCV1Q2MhvzO4eCLfof3p KhndsNFy9p6rmyeWxr0Oo33ohrfJDdpXSZ4YpzjrNqjSA1x/oo8K+nhi99y+ o584CL7t7a6Yi/bEMPPdsKW+Fy7lXvSrz/bE+h9Wtoldn2FEJ7Z0PMcT3/xp Z0VJDYBGD42L57YnpsbeftTgMQCdwngN73uil2mcztHJAZBImKopfuqJDzsL pbUSByGHYi51q9IT6RYOme45Q/CdQ/NoRZUnni4QdfJ7NwR4U7awt9oTY45v 3Go9OgRDnX+N1zE80SjGWjBBaRjkTR4FpzQT/vg9fdDyfBgeK3HXhQ4SmjKg CU9HoG2D3j//YU/0sRFpzWeOwMLqWFXqqCc2jXTy5YyMgOXcrzSncU8M/nRb +J/4KPyqHrXZ/8MTHS/Ux+tEE7xaInNKc8YTXTzajT0ujoLJY9cStV+e+Mhh 44Wph6OQdaFDQu6PJzo1HsiEdoJfXd/383JQMHTuae1ZWeI+bcWxmpOLgtxd VLVmDRZk6Ovi/AoKaomMfg41Jnh1a9GdSV4K8ltFxAxRCX7c8KOdxU/B4dp7 2x9HsGDvalXuAQEKlghuftqWzILzs3epraspuPPkDyGruywoGR+4VreGghmx IdR7z1kw0CdVVyNCwSEOdqRHBQt2VmeolohTkLrb9aFIJwtci5vdCtZTMM/i 66VVgyw49UjgwiMpCnbf6GiO+MKCnrTE6axNFDTbz6Gfs8gCroS3spc3U/Dv c2ttDx42qIT9s0mVo2D7mVLuLIIvbGmap5IVKPhxncteSzE2nHAJKYlTpOBY RnlMnDQbHlkWjEUqUfCp3KEENYJfWvW+SgSrEPWsSf2PosyGeQ1FM99tFHTu Fu/boMYG+a2exyk7KPi9Q7LabTfBm1K5+W7qFNwvN5yuRPBTxKq+fvtdFNTZ /Xp9IsFXtzjFV1vvpmDdnZ5d/vpsqPt1GA9oUrDWT/vZFyM2/BxLC9LfS8GO bAHXJVM2bOiru6OjQ0GL1So8T8zZYNzE06Gxj4IVS0HBPwl+DXynz70dKCiR +oPUS/DgtaITexT1KCh4JfQ0meDX6odlVBkDCsZdiLuSRvDk16y5a+uNKJg2 vk6VRPCmaNrOurUmFAxR4mJ/IvT+kwH/BA5QUHO+9vBKgk+poXmq3OYU3P22 7sdH4nk6le22ZEHB1f3SOh6ELnOWvfDbkoJWyfszrxPxRw8eqfphTUFJKXuP M0R+Ib2s6YnDFCzXmRnfTvDrHo0u2RFbCka8zfO/YMkGD8W1tp/sKfjYbGlL PsGvKZKWpzodifzPK3afJvj1pVBKSZMzMe95xSJZwo9PHPQxhisFkzj88uMJ v3h+ca5/d4SIr39W/C7h55/n19JGPYj8SyZKJkD0679jJZ8nBVfk2vx8rMOG ljHX75ZUCv5+lDBetIvw595PSrA3BdU01Y+TdrChmJTSe8WXgvIUuNlJzDur r/TDp0AKnrzAyNqwmQ3nr1nqcARTkHwz2uanFBvi7FjP5UIpyEtRdbxO7CdK 89psn0gKmv8Hxs4CBN/W+Af/iacgSbjrbv8MC2TiV45LJVIQfifyu02yQGTf DTc4RUGewFMHXrFY8KeEaZp8loK5J2zv8PawoDpPbpPoJWI+BcJcqm9YYH/p Y/2OuxRUScu9GR3DAlOrY3o29yl4YsekEISyQEeQtzT8IQV1xaOefPcl8iVr 3Kl4QkGDdDVDCRcWfIm6EGleREG5xKMvr2ux4ATJSIH6gThfntJWAz9G4aFa 4YmcMQpO2/1VPes0CgHrpv+WThD7rcmVtmw1ChrzamGtXylo7XrjcaDxKFTV PPdd+YOCl/OProRdowQfPHf0+UP0a3XdMEdwFPhiC3bu4fdCg+MN5xIqR4BW +5TdqOyF/0mVuL/aNAJK5DzLRX8vVK7X4T7XNwR9B16/sPvqhZ3+1jb/9XyG trvR2yDkKJ6U+5FiqPMR/rw8pCs7cxT7vZJ7BPLbQVBrT5PIr6M4vLZT2j6z HWTKJT24546i0S5J94fx7WD6fiRx/O9RzP3w+YiHXTtc7wirf8ZJxcsNKoGa y22gPXvdWWcNFVmJ6QGdtm0Qs2c40laNirtVRvZ8/a8V0svo/xnvpOJpifOl 43MtcG//k2xNDSoO38g+8W+4BRqMQ6sktai4psynnfymBaQdePiGgIraPHWH jf1boDJC+aq/FRWZewwWbzxphuVXwcXJAVQE1u9TztGN8Innxbk7x6gY9mzz z1J74v5hO02qDKZikIUOn8+uRgj9EbhqLpyKPdvbhFu+NcC4oj/VK46ob+8N /YqjDdCWSV1vmE7FhQaZrI/e9VAw+uC7+yWiv2dekl/M6+H8TvaH45epGNc5 sMt1ez2YNFGCX16jYvuN+5HUX3VQzk2ul71NxSIdqw6lU3VwP9Q1lvMFFaWf uJyteU3c36pv2EgXEf2u46IrEjzrIdyntLeEisoBe/b/SqkFyXynrmNlVHz2 /l0Bnbj/pY3Y7xispuLd/Mf77PlqwVc9k3vhPRULR6x/c/xigmlcZ584g4pm TmHLooNMWCFle8aqnoo/jc8tR75mQuThQ0OV7VTMrQ9yVwtigt2t9NLeTip+ 4Nm3WcGDCTunmlPnuqm4g+9Df4IVE76dtdTe/omKK/6G9EfuYEJdd6qw2Wcq ul+u7RKWYcIjhUa21yAV06576axZwwTyO/OMm6NUfCXXm2H2iwGw+pz3azYV Vdf8VUxkM2CDWx10jlNRa/7HEbmPxH3+j+mk4Dcqdnv1Vl9/yyDuV8ZGMbNU 3G71lOxwkQEcnZ2cob+puJR5tzriNANKorwqff9SUe1G+LkfsQRf1iRpuixS Mbg6xfaLL8GTVNFfh5epePXinmYfT4JPBO89N+OkoUbA3jx9FwbM29UoaXPT 8OGX7uDf5gx4Pn+Yrc5Lw/KNUe3thgw4mjt8R4mfhrvLxGJ59jOgbZxzw3oh GvbbXUz1V2fAmdSLPcKrachW/u15W4UB+3duvsK3hoZJs29IygQv5R3HVX9E aUiJbn6qTfCvh0xL3XcxGq4vt/V+R/CW2Af302MSNGS2BClkizCgwfu7wYAk DdWT2q7WrWZAwqo4ju4NNLw0+j7CQpABWi9XVTRtpOGRyKsxm/kZMOWQE0WX oeEK+jW3AzwMuLewbU+lLA2nbcTbalYwwPl2xUyxPA11T4elp3MyQNj4YMHT LTQ0C5uwKiB4mP7lk+/9rTSMeB9Wv4ngz5gLfltvKtPwkZp25RDBpzs1FkYv q9KQHmY/8ovg1/Gec7fPb6dhidWXWUdC58RKHUlSo+FiQuBzIULbyj6RjNlJ w2f7BhrXEpqfod0dokHDyceOq2mErvSty/DdQ0MrrcQ9QkT8UGFna08tGgY7 8XBzLdJBuXhC0EWbWB97VteYqGfQKar2sC4Nr5RScz4S9WYu8SWb7achv5Dm 5BuiH4u71/T1kYZTwVrfJ4l+uUy3Lu/Vp+ELl79BfoQfryZL36gb0vDdXl7Q JvwKuGgSqWRMwzNx32XsCT/l93RrbDal4dscleG3hN+9vUenJcyI+ZrhwQhi Hulxc0+FLWiYnW69O4aYl7F8sg+fJQ3DeFccayL4eIG5TpHDmoaDxktt/jIE n67dfeu7DQ0djnvTMpQZsLH0veuYHQ2Lw3WM16sxoMPFdv2AAw27fD4++bqb AXg/5FKTC9FPmdv1MH0GzB1YYUV3o6GfTQlb9QAD8qcuCVS601CL/NZYzZoB Elovkp560vBcOaVN0p0BTZ/09O570fB0+8VeTioDkk62LmZTacjb4/NAg+Dl H3U/ws/70vBPbZJVbDwDGG47vH1DaHhQ3a36+gOin4b1PqlhxP4v1WNWFDLg g/ZK34IIGmbKi9zSrmBAjfhHv5/HifqPSPTv72TA29aEY8eTiP241W8phJ8J +9E/6GYyDW0DBRI8xJlQ8cwh+O0ZGjao7L72QIEJb86phq5IpWHM3VgTNGBC qVFXxLkrhD9f8gMLEpiwp6gq8ulVYv67dkUFZDChWPZJVPN1GvIkWHCdvceE l8txx0VyiP5XSze0MphQ8Fop7sYDYn7uC3HlBC8/3Bab/KSUhmnOcXecy2ph Szb1dONrGlqbep1c0VoL9/87fOb7Gxq635+IWT1eC3fHtqTsqqJhOLn4jY14 HeTebkl9wyTOo0QFx53oOtgo/Catv46GWQVtSZGX6+DmifsXlhtoWPaO1+7V szq44RJ90aCVOC8JVfERo3VwdZ38lfqPNGx/4y+2yq4exJJWZX7ro2H1ZALp QHA9XJn5k7n6Mw1vfExhzV6oh4zmxms2wzQ8bmL460FDPVw4G5Hd94U4P6rP 2CnmDXB6se7u13801D6l9yrBoxFsL6+f/UfoS8qKm2+QGkFGhWYsuEBDNM9+ 9JJM/H85ck+oEtrhGYqwKI0w+RK2BxD6OL3G4YB3I1j7FL36QejGbL1b4sGN INl9s3F2kYaizWkG9YmNwPaf3MizRHwfOgWTxpIa4eVKnWNihP7VGjGyIrkR LHb2rNUktMYRmWXdM40Ql7rWMZLQK9OE8p6fb4RRg9PD84Te/ojdcvNKIzzv 7dwlsEzDL3cvcZZnNkJskPwpKULX2Dgf6r3aCGK57xR1Cf31hKmleFYjHJj/ 5xdLaMnm6YpLOcTzi2aVqYSe39M4VpjbCMOK11fnEDq7sE+t9VYjxNjteVFJ 6N60mzLCdxvBdDJpRTOheWrtGTvuNcK6xHbbAUJHfrBMtbpPvL9e9sF3Qv8O PBMc+KARnj0/9nuZ0BZFPBEXHjbC/wB9rUwr "]]}}, GraphicsComplexBox[CompressedData[" 1:eJw1m3k0lP/7/xEiihJJyJolSYVKcl32NUu2sRuGmSxlq2yVtJBQlpBC2pN3 KlubLZUWqaRQZGaMNbLOkCW/+3PO7+sfZ87cmPt6Pa/n8/F0zi3vd2h/AA8X F9ezZVxc//uucGHxRqHsF4PkLx2xa89XGFjVLLftp4rgQYFRzDjGhI8rdQV5 veTwQHCtA7l9BowumNbfsVNFvxKjVxfD5yBg69zKbSu18Gz/7tq6c2zYpxYw IWGujVWOn2n3bCbhcduxw+927UK+2AYRsuQ47FmjXsZ7Qh+bxLojeKZ+A3U+ s+AWCZHvccPS47sDcOjNwI6yfUY4nriRVHexF1Lc+ZUXQ0xwK6/VWmokHfyb 4gK30cyQ03fVSFGGDg3L1zsEu1ngTSv6ejsZJmxbnZAzFGWFRXa1F9MVB8Bn aq+GbYgNzszJlQpSx+Fa4WvpmTRb7FhM+1FN4cDjdL2frfvtcXXAw9Ec5jRE PttrX2DjgC943Ib0qZNQ+/7W5DmP/dh6r55bR3McaOa7aw6QHPE57z3T49dH 4MrdbZXBQU54oj7/WtCZQbg4VXMy7Kgz5jVvede9nwV9JYeP0CJccNs4/3ct YECjWWZeYqIrni8R+pDvTgcuux/MCwkknLP8veMbFxOWsIr7WowbWuVmfmlc 0Q9J62b2tSa54xuF4YvjmmNwyN3/5cwpD1Q496LjRSUb6Ce1KXDJEz9TGq7e dGaDWNblH+eKvdBtrd6NrXcn4ZaoekzTFW90k7J9vuPCONRHbDRVue+Dsn+f 734qOQqFctek9zr5ovoBvY23XYagJn6Oi/bZF8sj66MWDveBvPXyBUVXMhaP Nvxxes+Aik9q5zvbyCh7eG8E04kOqW/+acl5+WEF52PFzggGZEUOBfl2+eH9 1IHuCTYL4sVlRRTc/HH5GumVVnwjcE+N730U3R+PlR/DEw+ngX+ae32DNwWT qlsuXOXhwB2tR8cLByi4pXS8d8ZuCtT8SmwXQwOwt+y9NrDH4afl08fOvwOQ ejwzhqz4B1pvxG6ByEBU9emrElAehtlyB32FyUAUrlvsktPph6UnEZVnD1KR 8fLWUmwWE6y1zEzj2VR8fV2q0z2UDk1eWw8ER9LwppfspvIBOiQtvr/xe56G Nxav6GvysuDBw7CZpSUaltknLX5RYcH7jJ/hg9QlWMqyCTis8g3kFquvLupK 4sZTv7UT2kchuaWG5eyihCcOzNCEbi4A/4z0H14dDfRyJDs6P5gBt9KyJUX1 7ai2PWjTj9op4DoRvmMcdPFDRtUZB6UJ+O1bQ1N3NETuoyePUrL6IF70qIaL lzF2/xS+1FLBAI5og2lukCmadeYEiw/3QCb1vUeLrzna5gmTvrTTISa1OVKd aolqbZscstVZYMHjw7gSZo3Bj6KcuZV/A9e7kzcVju1DK53pTdyS08DjXXCg 5bIdFh65mim8mQOZSi/En3yyR6eMZOcTuVOQ9zK8WKzNAflJdYe2GEyARMvR DX/GnTBweEhkG60f9D6tjx+ZdsZe4Y4+iUtMaJs9lXR4zgVNoyR3mobRgWlV tfccNwl5unbJbe4j9G5hMblukYTZMevu2t3vBePS7ypPudxx286oN0X1QzC/ a4tAH58H6vceMR7snQTVP9ZZV4Q9UVl/74QWmQOxK6hFlA1eOG2YlbmRPQVj vQn/XouRsSWE5LoxqheC0vIa/10iY8Ptat+xBjrIWa/9tSDph4f4Olwt0+kg KjO9r/6qH5oKNQuE9DAh+dWyvQ1S/mg1Y6B84dcAZBZlhHy46o8b18LuKo0J 6Eg/NZG/kYINOzbOkYi/75LZ+WHrDQqKcEKPtz+ehnhdZrSTFhWbBdYpPLNi wa0oz2Pcj6moe+X8SikNBgg26bVHatOw2O3TmkAfOtzZcuzs/Woarv2w6do5 aSZItRd8ZC/ScNvGm3v7xVnwTu/U0xHqGKjrVWXqS7wD5mg3OZothm6izRcq Tg2A+p+/nFI3BSw3avoTengelIy3uboYqWO5q97+pMVZ6BltO1uyYRse+stn 65gzDZucgjNPGetgnhuLOlE+AWqaqssGvyEeOs3uVivshyPBWx8mfjPCzKuh v88S+1Ff6a/z/rcJrrF+pvJUlg6x6xQZJ1hmeCshOobvAB1k3kcwregWOCN1 bpeZUC+8ODf2/OWkFSb9u9g4zh4ErV8+tCfTNui+7c52YZwEh+PbGplidnjZ kLfG+TQHrrvFRZtm2KP2/C7jb3rTcLa2PZp00QEnj2jl9rVMAOm502Dpf07o m9x1ZuToAAQwfh/XrHLGZmHhbuugXuj6svDvYJULBu2YM3pcT4dWC6XffC9d 0X37zePRaXRIsM4Y/lpLwoYVMxbOL5lQfORNtkaNG8K60FjuJwNgqLrm/s83 7pj8LfHjha0TYHOzvcTyrQea6O6k5HtzYMubj9z7OzzR5ujroMFb0+DysGZJ YtIXU5KVp3YcZIHZyCefjCNkPHdFKv72DgYErSzS/s0h45um68xjHnRoCY+B 8Xg/VP3UF10tzoRVVzlfL8774bVPlp3PLAk//9Few4n1x47GiOQ7k38APV91 L+eioBj3gonYNzZoNoZGzCZQ8KPutNreADbosS+771lNRTNcL5iu3wetOdT1 JhepGMpOc5xrZkBJHK6aXUvDpic95cz9dKg2/X70/CUaFv1KS1MNZYB9UMWT 8QUaWvbkf1y2kgWSjbHGo2nL0f3MvfwDY13gJZzZnhgtjWpSY6SHy6eg78HJ 1n/7N+EpnlhpBnMeBksEzpSraOLDt7OPTpzjwNeglOiCXTuw8McP5d2Lk/Bf 1v6WkM+GWGs5rdqbyoJTlbV31fqMMabAYbfDIh00QmRdKEOm+JO6+QKJ8KuS 6vDv0t3mWBMUzrPsAAO+2W7iW/HHEr1d7/u1nuqDttgW/sN/rFFK6rVGRv0o fC6/QU/ls0Wex6WqPVls+FHIK9AtYo+XWq8WvMtkw1d6vu1WbWecEf1owHHr A9Ea85iSHS44s1D3QeQHA5o3ConGG7hi+8wJpxxbOkzYWFwUNiTheZXNU0xf BiSYLP312OOGzl/ivIfribxm9D8zNXHHv2+upJ3YNQKVlhYBf0w8MH6VoL3F 8Wng3VUfN2rviRUbBAz2cNiQvM5kMUqHjD2H4ptXXGTCBU2ySkglGaX213Kf OEqH78nnklbt8UM3+mf1s7/psP/tQc+LL/zQZWHDAqu1F3hGRW9P7PbH7d5O XSdfDkEhxXrDtVp/TEv9Iu3NNQWHGoz4NIGCIe9uPjEh/Kf2qHpuqB0Vm2Sb 3E8G9EL0fgdG7VcqqtMzq5dV0YG2RufamCMNXQ6e+hmVQYdccaVLHzppKLtH fX7ZLBNYxknMuX80FFOkFHyTZcHb1FYLNrUH7l5WpnAL1YBJf9iryrbV6JZz llXMYMHC4roEkoc8+nFNFnuy/sKOA8+FlizUUOuuyZx5xV+4nk59H5qthenV zTPrhdnwzGDQcN9rbdRWWJ7GtzQBb7O9PpvlImbFLtvxH8Fjk3lCk3kZRlhX EVc+uqoXlAV0/vMvNUG7lG+NJcZ0OHjo0w3SbTOcqN3bddOADmODr9f/vGqB dn43f5xNZ8KRjzvVvpdb4Rpx3+m9PIPwdtDW6tRDGzTZ8cbLzG4CotPnx0Y+ 2+KUY+aDlCQOqE//UBOOsMewmc2bY9MJv36Rwoo96IAh667vEJSahLltjbbC qU64uP5Dv/TSAMQOOyV8ynHGDi2+pLyuXvA1ePosONsFpzjX1jnM0eG9+U9D k+uumDhIynY/RAf8WNn/qIiEepGNA0xPJnz2MLAOvOKGjF+yhsrt/cAqOr3g cscdNdYpve/wGgfvEwVVcrc98E5c4q7d8hzgV+Iuf1vliUeYal9u/5uGFAnP BGD4onega0P3OAsqrvz+70cgGZPI40q5sQy4cJDlw+wjo6O8RP55Yt+3SOvv Egj1Q4Z0xnOXOgZ8Xh5WNPvbD4XO1/PH5PUBz2xsoHCQP9ay36ZWBo/C9EuW o8G4P5arpZKcnNiQ/7P6ddchCqp2NP3xfsKGy22HPzzgpuKKcK/d+5/0waBK KDXgBBVvCKl+Hd/MhDnnRjU9Phr2ce/O30z4Xd2XxLC40zQMqFRZA8oMGCkH zYOE34gMmQTlCrDgn6l27fi1Zbhy8dfcldWdUMurrFfvKoUXLsdkaXWOQ1Vt kUeJkzJuXl0uJhS8ADOfM3d7am5B48XTsl0SM5AjJPPC99F2vPflk8B1jymw mUu68iHDEJfz7s42EukDrt78YSg2RnJsVPojRwZk1I59XLxnij2zh88v9vRA oYjsZXahOT5LVveRkmbAndAY/fwSS3zAzbAy+8SC9FqJqOQyayw59MnoKGUE aLWZL10b9uHaSNdbmQPT8HPfV/1XXXYYZOi243svG6JcBSvT1zhj/H65umx6 Hyi/eRhrvdYF31xQCOnfwQT71KYP0dKuOH+BI1vkRodh66V+K3kSXpd85JIi ywB8o8jZLe2G/IKnfDdqsWBtk3f4CQV37NvINRwxOgykhmdVB5Q90MdV6M/3 J1MgIXY26ZWmJ04oymyJ1+HAi2PMYwVKZCx1OTX44R8TFrrjD1feIqOzP8q/ yKXD/FDLYz51P7zTI9lVVk2HRxHbnO+W+uFtZt5EsWMvvCalhLup++PuPXMd Ja8HQTLxT2Plf/5IfzB//r34JCip+sdRtlIw45LpMvswDsi48gswgIpWpFdu it97Ib3XZSv9JRX/8P+xiSf87MlI9fNtJjQUEN3P+Er0s6Liz2nP39KwINU4 LuU0E06krSFFE35jnpho6ynFgtxcW+pY2gzsvedwbLvwFzjJtlrSk5DAz/xi bRPRw+D262coN0kRx/dzL/7xXgBxmTvX/9uzGevPqL9Nsp+Fv3sdD4asN0Z3 k2yzVxuZ4OGfWaO12RQtK9Tep/HS4WzdEdk7Cub4yT/mh/RVOljf33j/maIl hk3IhdhmE35rdse2bJs1brXSMfzENQx5X8POju7ahzcKPtmabZsC9YPUnA4X O7w+qf+3248D9h2Jx9K+OeOeqt/4fYEJpAA0juhwwZ/Ola3FmXT4YRma3cRw xZ7DGirvKuhQ/y7kD7ubhI6dItqF23ohIsP21+QvN7xjufDkXtkgFD4scvPt d0ehZVI9PwQmQe/d6qKIYQ8clB+9dyWcAx36FastzpLxht6bxHk2HUxL3QSn l/vhSOqAcDzhN4eaqsw6Uv0w5mkCFB7+X585JqAm5I+KQv/o24UGIJV9g/pF hIKPxo4X1mkSeuHz+6BQTMUcJ5/6qKMMcC+umaxUoqGuuVitO9Hfyp6qnbhy m4aKB5XPnCH8Y0FsKcr0sizeoQSPqwWxYW2Rv6WjgwoyQnQ2Dm2bB/5kZqCY mgk25syE+j2mw9v1+369VzXDoOsfTeyI+Vf5vBYz2WCBEnP1O0trGbBM6+vH mG1EH19h+f03wT+77lX8a7C0xV13ZyLWreXAXPmvo4KOLqizbPCxZTIDLMpt nU74uqKeyPMji0Rez+7L2N3iS8JDd7NKTEoZUP/yx+IxdzfsSgx2ferdB1UL B3mFA91Rr0guJPHGKKxp/SYWSfHAgs+F5tfU2TDpOXdIItITM578Ch+/xwan R7fibczIqBT2Y3W/KhMUTph2KrwmY11ELZ8+mdgXFRPPdTZ+SG430KpQY8Ck TKl/dLMfdrq5/+X2ZgGczP1xztIfNbWXBaxrHwYl87sRKZ+IvtB0uPwkcwqe uStcmLGloOKaBf5behzwa7DOKmBRMby55PXYeTpI7np8+j9/Gr5lrfLY+IQO F84dvfpzmIYKzbdIBUd7wXJuPuQY0Tdt07019iuy4I1WOJWf9gkaqNuGDm55 CFF+zw47vRJFcnFGxbp7vcDiu2Oi2SWHb7XzyrSHZkEvnivQsVkVbzp2RR1a Mwe8PVohn+y10GTrYTLDkg28FbfXbz+rjbJf/51JUJ4ESYtZXc5RxNhcNz3T wAF4WPZ3zc1DRih27K6AjF0vkB7JHHiYaoK9P2NjtNwJvriizGeaRPSBP45q rzXoQIo+pKMYZ4E6Cv5w2okJTmM/e3yyrfBWyWZv6sUBWHvQ7Dkt3QZbt+2N qyD8PjXHlz+izBbjG/fcd4jjwMGGlMRDfvZ4uV3ELPnJNETvoUilejngum52 jTfRH6xC57j145xw80TJd3+jQeA7JMgtl+SMA3Stt5brWHA9Klcy6JQLbhgU 8PLZwACzJt1Q/0xXHK7dMfrBn+h/q96y5C6S8JIUd1jlFibQbGM3nUpxQ9mE /vakg/1Q9XPvrexcgvdC1b1UJ8egPyRBX/iSBw4rj0vZTLBhqjVfiPe2Jy5E FUidIPR00/J+/dcOXxTLuf5OY0cfBEX+dVryJmOq1zKFgGIGKGxMYnt1k9GS 1bjbishnz/AC7bUBfnixc1jvei4DHtdonNFg+eEHua9/Ik37oO5ss14u2R+F fxZ8DqsYAVvOdLrboD8OjT/9GsjPhs8DnmO2VAqmrk4u6//FBotXvacG/wbi hy0C1GJOH0SNH1rFOULFOFJE9GNvQs+Np3d6LFKxS0v8Ii9x/43rOkOm4mi4 rCP+yRY+Bjwj8Q1pEPncot4V4sfPgojlGXERJdz4PGV/sZJcO4wlHPztbb4e ba20JtMqxqDojaZcwjclbJGf7bbJXoB/ve1ZDx9p4IZ9d0iW5BmY9ej3ehm6 HQ+/WHYxP3UKrv6nwBMXYYjLfHJtVRz6oPZvspD1CWOUCFz7iJ3IgFfUjnNW KaaoY5LAiWD2QN6eqDnGCXOsPVS2rneW6OeLCiRmsiU+7SiKXRHHgmD6M/U1 F61xz64363c3/IYK45Qde4v2odPVH0fjT03DH+ddjpbP7fDLd3/zBQEOvM5E Wi23MzK8vuy1VeqHh1YB81d4XXC0/XR1kT8TMl/eUjsq5IqbReme8cR8Aj+4 rwlaTcI+N9n651wMkFuuO31X2A2vpUezzEZ6ofRpvs3V1e6Yb9zxNMBxGNQX I33uiHtgn6KWY7ndFBRxHVj5UIbI53VTWwxsOfD94bbabdJkfLJdMaRiVy+U V6ZI/ygg4+bgnC159+mQnh9ucVLeD3/rtfmXFtOB3pTpUHHTD4f1tqVrSfbC 7VXmrmkK/njruQ39jN0gfBPFPLzljzkCpUHnr03AcY/IqhMqFHztpXJhJoQD zWZR9VK7qDi/6+OhRREWSJW6fQ97RsX9/soiISsYQHeLebdfn4aS7HXVkTQ6 3BjYlLKjnoZnfkleVrRjgs32jjU7iXxuNoz6JSfJguNSAszJa1Pw8fSnqgtP P8Lj8OyHnXziOFHB65YyOQhG/UHb2zsU8NPms2oruBZAWmtkgbtOHT0LB49U 3pqFJ06GF47OGKG4pNJ8AYkJ6cJxMceETPFj4IiAjSjRz383n8haZo7aQQlW 8SfpUKH37g0PjyWmxAVo7bDthR6qNd/uNdb4vtrlrGv0ELBItJlWiX3YRv1Y ofd0EgyONJd66djh9j+nzehHOPDDc+e/7tfOmELnUh3c3gv5V2SLw5qIfP5D 49W5SweXd2/r+r+4YoJofOdCER2urTgxQmkh4d7PBZeriD604nTKU5EWN7xt vLW1TWsQwkZIPIXf3XHMw+Zf5pUJaKyaVvLu9EC9neU1vKEcuLD25ZOQ42Tk I12fLRZjQIfnQuGhJTLe/0Ly3kihQ6G0pDHrtB/2jM40RJkwQaN/9x/PZf7I 5+9LcrnbD/2qFddHllMw8Xq3fS8/B8xbKBHleVQULFAdXLjGgMRVJ7japWko 77/Z6QDhH+VLJ+LECmn4OaZNnv8SAzQuWmxiJctg1rJLtbra07Bwe3KlWusm fPDy0NqCtHl4Vfg5SXa5Ce6Z9rD1+06HuZc6+esEzTC2I+gb/0wPPDy/4bDW gjnmHbfPfZHJgJC6+KEGESs8HHol+AKrD05rlh66o2KLrY0uip2dbDizK2vW zdgFw9Fkt9xDBqQMaTw+ZueK5mx1e599dIj6OEIZtSdh8evaH2FnGHBt2ej8 iJUbrjpaLLRxVR/YjpX0qDq743/lHQ3jQyPAWnnhxUMnD6Q3lTBUOqYhzqqb ze3niXpJgdVeX9hwkDX9gr6XjNYr/vsV5cGEDhfHBPMaMqqLBnfLBtPBpKN/ ItPYD5cN3RzaL0j4beRK39Ov/LCP9O7FkAQL5HY61dcY+qNaf71XpeUwML79 NRNv8sfgfUytHZFTsDZ9+/s15hSssrdrTLDnwOg5Wz3NLiqSC7+UpxD6wFuR mS0eNDxeYLL1/g06ZH36mOfIpGHZoFMI6vaCRFGDij6Rz1n9L+LF5FmQg5wH U2kDMPRl5kmK2CsQC1IRW9e3Bp99PsG5odYPYpzk54k/5JFnz8NNMvVzMOlt MyHRbILy87J7OrYS8zOOMQp5bYZc9xbkXhDnTTmb00mdtMWA8VfWeikckBX4 6Rl6ywVtAs1fiHXRwfbtCQnlx67IZXq9FI/R4VvGMy2dag+0hVPC5005sNjY zV91kIzVnfZDC84Ez9UYvg/8Q0aHNrZnkTMd8i+0SSrO+uO6H27CBy+zoXWQ W3r9Shry2X8Iaybef35eI2pZGg2HtpygDJgzoKVKNLftqzLWdo95qmougFFz 6TvtRmMUjzzgIqPCAG/x5WsevTNFYahZcYvwc+ndVxwievehcJTP0jsjNqxy GQqN3eKKOmrHT98j7u9g843nm7eR8OfFvpkcAwacPcO9SkPHA9+pi4VLy05D mvIN7k7wxL2M095d6zhgxn+o5eJ/ZFwUCeTxPkvwx24NmZTtfrg0ncRt95no 49P70XInBQfhyk8lwg+XbXBKtvtAxaDHcTEun+hw8QTnP1EbGq447lKfQPhN 2Hebe5vbFfF21OmxTUSeqT67x82yMsVNijrfpzg9IBHIk+AYbYe0N7kHLS05 ILHVry9yyAVpfnYKCyfo4P1+9YG7E664+tK9i50fCF78qbk+ad4Do4YMVBwJ f5APuB2kmE7GRKIr1/ygw+P5qshoUT+8yzNFTSXOa/vLLI2qdRTkOyEr8M6G A9u1F1jZGjRU/81e/ohEB4vwaVMBaxNU69bc7ZtBh5wwisJxCzN8e+LyviQR Oowo1qR1BduijfLTuyQjDvAfC+MkhLviaR1v/QOOhH5zpIN1ojxQZ8tpoZoo NgTf2bn9XzMZL6TpvflK9FFflTVOXS4U/PRBuC5CjsirWYsR4VEqXvJMldSJ o8P4+/EjqcE0HAnOvPOxhQ7xzrqPawm9f/1wvjRDmQUN0Q9uqtLqoGdMVLDV uRhS5XxaFPVF8cCbu387V/dCx7k/my5flcODPrVVqX6zUMunmLWYpopVvlsN xgznQDtJfC/XVi38Ep109/wBNtz9c+bMzUBtPJLwNOvfrkmoLzYd3kdDtKn+ yZWYNACiz8Nu3PM2QhlKm83LQ70wwbem6Xu8CVqdfdN7OJDI70efdZ4fNcOA 8lyxUiU6CKOJsXmQBW4UdJLJ2MUEIy7N5zdPW+HCRIWjj9sAPNN6GelxzAYF o6iJs0XjkCOVlVFRaIuxJ6qqPYn+JXqXqVnsbo/2vx/VZHycBs6cfeVaZwds tYiJe+E4CZMrcn5+jXBC1+u6N8b8B8Hqkb+hxQlnjHMQlfurzYJXF86aD8W6 YK6Nc8m4BgN4k1g8kSmuuMjisRjwJvSo+cWflEzCI6vzbBckmFBhLpm9OtEN RUYPP1ul3w+FMfkx5RfccbdHU/WzC2NQ0hu+dDLVAytLj1ez29gQVDJQXVzg icgZ2LAF2aDV20ovaPPFaNkEOOvUB2Y+CXdXe5BxgFG3LL+SAcFHSfUbOsmo 7zVQoUfoY3pDy3Ypsh/uE2gUuHmaAdclhaLN6H5YrWnLZyrTB7K27JueXv5o 9Ts6+qfHCCyIHNOgsvwxg7W1xq9rGn6HbuUV8Keggopr+SaCj+VeSPnycQKR /2aOVpd4PzxzmiDXRlBx+ZmetvZoJlTFBNQG/yX6T+CZzh4qHV7r8QaXHaUh aXVCmgyH4PPNNDNhgkfVt2zYY8HHAg0auO8o48LpdTk8i0rfQQDETDTrJHEi f8ttrpd/INvqCM/vS0rYxWPeVFu0AImhc/XukRqYxy0NsUkzoMr7QXPKejvG FaXsuHhrCkyWh1W2+hki38YuI/2IPpDh47pqf9AYd1trkjKuMMDrRfNAWKwp Uh9a5xX09cAlh42bSWHmOMfjf1l8kA6vXs0E8EdbomvHqtNu+1ngPiHM75pg jfSFUk+I+A3u/PwjW9P3Ia7/7ZppOw2znUG/zpfYYdxL3agIKaLfaHUZuvx1 wvwdAq/2mPUDO7Vuz6sFZ9ShP9BQjmdCeXc2icPjioq5LcqnDtBB6bzA3RhB Eq6Vy75xf5LQiwpE0nnd8PjZH21hH3ph9vGuZ+qC7jje0fBIVnAY1lz5vOPN Sg88b8L5LiI1BZSj7p+VxT3R78VWw5Mkon9auf2aX0dGp6Ora/a49EJ68eqw kctk/CkoXxhVRYf2SSMxkPFDV2nNuNu5dIiOaLR7do3w18SK0Zh5JuQeULa6 I+uPTzN1H9MkBkG7g8bDX+yPmeOO4QGBE7D58LxjmiLhZwdMg/VpHLhpcP/q Tm0qcnwfSBpuYYGv6E+13VVUfPxok9yIFAOiRN3t/XfRsD7w4I7rBH/fWrE/ eew5Dc2vpnGO6RDz4N0TJkHwaHeuatQyot9N/KQURZVMQO3tnLXM8A/wfutu wXvH1iIPzy93912DoBv0eK3RZQV8uHlLlm79PFx7ukq9NEEd51MLJqy/zMI6 3ycbj/Ub4fnablbrYSaokA+135g3wZzVLQka6+hwjDv6oeC0Gdb8toiajyLy haewbdOEBX7yEPlI0uiFlugC+jEea/zhNBAQqDsEKRtYZa/59qG/nB334/hJ sJj7t/Oakh3u8cypiz/OAbmiDAP+Wme8wFI5F07w7POqlZ/Hal1QPGDyoUQF HdaeO+LMeeeKDoNtQeE5RN/ZnBx89Q0J/SPnzHW7meByTFWl8LUbcnGuLpRN DQAppfL7ixZ3POl3/ohXwAQkb+kf+PrZA5e/ldogSeVAEJel8IlYMuavH9ri psgA+cqPB7bMk1HilXTdER866DZZGA4n+OFngaukdxpMkDGUZBxZIvpnSEDb qeh+yDLSx7llFExfz0/ZPcaG1O39r+OyqVisKRn2oIoBEq99kgYkadjI52dL IvK7UuF+zKfLNPy7q/V4YwIDTGxHj5dzySDZ/fLFmKtTMK6uN56VuQmzyyeY +HQelErMJZU4xlgT6z8SP0Tw1Dr12b1/TZG/K+nQ6vEe+K/4za3bI+bopi8S c/kY0b+SHGb6/lni6v1vfl8r7wP1CRXVfAlbbHSg1lk/YcP72NFdiXtcsGig Wvb7Kwbc55VmLJi5Yu7ClqdFBI9uT8ufW7AgoUTz/jBGBANElTixSsZu+GDb Q5rUAAvyBy32Vdu4Y0OW7CGdiyPQfP/3xU82HrgTHYXXlk4DNrQ8OermiVu+ 8peqstgwf0y6u2Q3GX+JPOtPIPRTYfTjq9tTMq5luKgshdEhTevJC3vwQyE2 eWz9HB2eyRh4p9T7YZysGvPsdC+sztxe3r7XH7+/1ypy4xsGLFB49OOlP84L ODXI603ByzvPqHLGFBxaFm+a6UbwwJ9PaZx2Kr4SibsXXEKHNg+n9T2uNAxt /LrcIp8OlyZnc0R+0VD6xJ/mOoleOBaudGYDkc+BWUKR0xtZcKyxTG3mWi+E NL3UaCM3gIZqc3C/5xoUsX5FOn+qDwRiPxeM5stj8Y8ok7suc5BajnZ7X5jg 5QLD5cG76RDuphTJrDRDzdvuQwcsCF5b8Y5SwrDFAtX77bwEj4Li+/MjV11w xtQ8tX2YyNvkLaXaJa4YY/RJZNkRgi8FSqdKHnggeeWVt1+0OdBRRnF/G0RG w2ueJ3loDDCTELukNExGRef6O8+JPDK/51mlNe2PcmsbVZZHsyGwiHldTZCG ewd9Vm0heKjmgWtEXTINTT5cNENdBrzUI8VAtjJeT1Pwq7RdgOJ2RXe9x8a4 xBvZLbKXAbMH5g+1PzXFw1lCTx/Qe+DlvMSKgNZ9+HiPwrCPBBu2hndc/avk inLmI/eaCN7VSHVw2KNGQl2fbV0Wmgw4pOjNtNrigbhMTEdwZAr2X81+ZbvT E9VvJ5btViH4bpItf+MeGbmffdOtSSf4LmNxwFzTDw+XT+mVNtLh6Kqf3S47 KKh7SEdR9hAHLE58+7muiYpWCZcTRboJf9dt15a3oKHq325xcizB++7Z53Ny FfFp3H2us8cX4OWqQp8Ve0yRITj+2mupB+SGtYVyqHbI4nk1VOXCgZ1WDmun 6C5403Wj2kQyHaRT6v5VD7lih+WYsGA9HY7sl+tamPTAizIFuqfCOLBgv6VW J4WM14OXf1pF5NmCY7KBrrAf1pve3aVJnFfPzw3vG8UoyHZvcpgz4MCb4a7g W6o0vM2ffne3Cx3uxAd/X6lngtfuqLUlFNNh62tSws1dZhgTFWtZKEiHzP5d Zp/cbTGksXHjEw0OqOT5KHMdcEUhC1v5H/Z0UNOOAacQD5QPqT3bZM8Gs6za M6LvyCj4jf/tLi86rDTMnxjaT8F3KhXqQpockPZ6D98GqfjsTIqH7ik6nD75 ZfEqlYZNN5Yd2krMl6lyWaSQ0PvuCz6t4UpE/8o0NVhIa4flWUbBwn1VMH7S x69xgzxeexa4UyvoL9R6qgmlXDVBk6ct9rm2dEhcoxm3td4WJ57mVP+XyIHk 5efaHfNdib5TOmVO5K8CJz0mp8ADmxS8zz9ZQej3TaX6NQbB85OVKqKE/xV3 hUxYj/jjg0790mBNNqQL33xoxU18vrq7V98SfFdiNLBXXFwZ7Tc9MohLXAB1 MdZmpXxTlF4kXcki9Bh+p2puRswV1yn3nNQirv9x7qiV3iZPFAxxTE0ieL7j 3bJ3TcVk3P1eKMWdmPcXw9+SEZspeHWn7MdrhJ5sbuQZGSENi2X7OztDiT7o p2gfIqmIuUnZB3q1F2C6+uwG1w2m6JZfZLNuBR20Jy/LbzCzw118qnXXiH4S k7A1YuKTC17Q38daWUCHf7DMb5DhgbG3mufjCL2k825ue7TMD/9cLn53hJjH bhENvh4hCq7y97EVkebAH9fCmDdyNEzIzBYWJ/aXfNBQf0LSDA1XpmTrEnr9 FaxVXbHLFj/3aosemWXDgZa9p/65uuKOzH872gh/Xgxq1tBpIKNvyKvR7gA6 UKNKNPisCX5IdYxTM+PAXeWP/QF0KorN19mQL9FBNsKwc52UAnau0awb3jgP 7jwUW+Vldpj7svK4VTLB6xvehdbVeSAvi68gwpED5QFhS3cnyVj+Z7RRh/CP 0cM2ceIL/qgt0fDpCJEfBtvlLwmspuG8wb/tgk7E/Le/qzggtgkDWefz+VYs wOv6NRUpnabY5tDp84vgwVG9OYN5HVfcaPx50ZjQc5DUYOzxR2Ss0PqZX3ic 2L+f76/v2UPBKfHLNseJPI7fz9dUL6GEIianH4ReW4ALAZU3atxNMag3ybBr rAfYYpFV0xMuSMmJbHt5lOhzlL0uq3k90fg+u1CD4Kczd4Uu3N1AwbOaK27t Ivit8NgG79NaNByYNZOs9yD2d0PYK1eSGbKK3KwEJehgRjb8NhRvi5qcQ15L ThxgkU82cce64g+fbe/uEft78fnDX78/k9H6j8xJYVfidXZTnskEFceopvO/ I+kgfuqrUw+xT3vyfz97tIkF1QJqG0NpZWC4JBlRJJgJ25b82BLjItjdbnnN o4kJrdZr8lri5bD5ZvpglMwsJFhV3Gs9qIon74oya9zmwOZn0i1JWS1MyRjQ zY5hw9z5w8+7XbRxb6+zfYvRJGTbjjTG+CKKJbYJSecNQD2WBmu4GOGUToOq bkIvGGgJc4aiTPAZT6hwZwjhj/qbbDmHzNAy6kH2Nzk69N/QtOokW+BKqy/r f6gz4ZlAu2pTvBXuyaAm2RsMgPAars9tUTaYNiXvEXhqHK54arQ759gi96PD qeRgDpCvrOJ75mKPr2JN1cQ7pqHCvYmn094BHW/xOkV7TcKbTv+3RQed0F35 h2lZ1CCEtl4ke8Y5o+NnuSWWMQucZP79unvEBeelEvnmdRjACnz+MfasK5Ym Ns7850mHt7XOilGnCf64bJ31XYgJ7iYD7zuOueGFrxH/jBX7IfPt296X590x 16wkXM5nDISLhun6yR546en+3xWv2aAssSo97LInbpB/6jpuxQZOWf94Yqsv zhlt4OwN6APtb8atUm5kxOapnv46BlxUbLg1951M8Oz1wpn/9f/w/m0yPoS/ b+8t9YhjgJRZbLjjLz88iG/MEwT74OMjQXfw8McPP80y92uNQKu04Xwo0x/v 8fN8KXlD9JeHeeksXwremfUnLfxlg/Au3Rax6UA8/dMi5JhyP3TxPz5/PYyK R6qrx9efZQLXt2/cUTNULFUM9ToXROixeX1Q2mEa9pT8V/D1Dx2cstez5+dp KMSI1HnOy4LkvJx3Wdu4kEZK7k2//Q3WFgaMi8dJ4n35t3MN1n8IP82PlDui hB9Or1X6fn0BTB6fb9/qpIEi76/7tubPAJL25grt2Y7xuy/HqD+eAskKiQv/ 3A2RO35WriWxD5pT9lC+BhijvgoPl/RdBpT0v5E4HWGKq26n1ZYN9EB2V5Rx Fs0cr5KW9jN76FCoygzJO2SJxp45b90MWPDlb2VkTLQ1ZlhY2hyw/g3/DRhb 3DuzDw/x8dPidkzD4gZepS3XCf9x4CR0KXDAaOmepgLbCZX+PMjTce0HyQcj Hh2zznjlpn/FxWQmmAQLj1f+c8Hb2Sfrmwk9LwvuiTjJR0KZDQ4hnb8JvVQ3 bl/gckOpJ9zfLJ/3QmHZ8okJXnesf3mn4zZrCPiH/xV8E/TAgJT1ZiuWCH1u //qILuqJ1WmGqSu9OKC6LvQPXZyMJp6WZgoBvRC/7ttldi4ZD+mm7JV9QfhF 4f1ZmQ1+aCL37DUzk+izTT9tawr9sO3spxXeo0wQzc02rpD2x9f5X9mOcwPQ u+dY9WChPwpaensds5wAnsQ6hWx5CupFZaxeHcCBi8/erDDbTsUVdXFKM3tY kPjyiqNMBRXpQpbRoUT/qA1+nxWsS8Ml6fNB4WQ6bLpKTfr4lIZvxq7Wj6oy oT90RJaf6He1c6GtURIsuK8vdlynbBwOrxQuazR7D9/Tz1de3L0WN+f7tHh0 D4CWxvczR2MU0N97ebDm1Xnw+1eEJ8nqeMl4xMV5YBbe9E0NLHUb4Y2+ZPuC 00yIOn+Av3rKBO8KtFl0S9EhPvXjW5MRMxxz6REbO0gHo8Dkn08GLXAopPRl 1YZeMD1pZnttzgobZVUfL4gPQfeCvDAs2mB+pIKir/ck2OjnHTOUtkOpfV1P bpwkzru+1lvqmTNSCljNTp69YGNyhlr2zAWn/ppY7ntGhynaPrl/r13xduWd fGYGHSyeC29+8pKEKxQklx59YsJCzIxXQIMbBrzlzyj5NgA2nb3Y/N4dOUbB zjSrCRge9H6X3uyBpAZx3i3+HCAdEdZNjiajcHbY5tDNBD+Tde2E/5LxYO5L CwrBT4nSZBw97odpW7fabJFnQs7BpB+nFv3QznMi7Z9vPwTZcYlw81BwLdfB vMNMNpSxbo/5ZFLxpK+1WUMDA3zlPr8fk6Bh9EaSQArBN7oV9dH/5dKwij9v PeMIA+z/g81XXkij86vXPx44TMHwiBf5XcQm7A6+VUhqmYe2rafot0eNMaRH ncd+ig50QyUVhwlTjLUesl452gOlGtK1DJY5FoVdqNCPZMDc8J5/RzmWqJRe Jp9zpQ+OtQacFltli79441aH3WbD6BUpt5ydLnh9R/8tv08M0M/Min5h5Iqv Uu5u5yX4bU1o+GteUxKiqY/05wMMsKiI1UNwwwO7JdcPfmUB9q07fdzCHfU7 rq6UooxA/dz6+V8WHjgScmbM79I0XI83z9/u7Ikiad+8rEbZ8NJKa/TCTjJO FP7zqkpkwvUnBYt+1WS89yZg4+Yogu+75K5v3fu//4+UU55P0oE/0sUrrdYP zaZ6VxT29kJKXXEpa48/1j2/8KKmdwjGuHYG1tT7o0XpKXtHmSnIqziuq2JI wQvCW+fyiH11vnax+sc3Kpb9vdou95Dgm+pXngPONDRN+nOgmeAdidOrckZ/ 0hDfHI+1XN4LD3982yFE5DMqVXMHEP1u/LTwQHQJA44fSW4wnaqDXUmyki2S axAc9LrEt/cBj/70KsU4eawI0C9Pl52Djm694/YVJmh56ZjFYQM6hLFizss8 MEOLXyseHzamQ6SNX4l1py1+90fTNec48PmhoWJpngsWRrk9Okbc728q71H9 267oy2uncDWC8JNGpW8BJURefXuzzm8z0ReUVU9/oRF9bqvx6j3hDAh6GRe7 bJCMFlO3pVcSeSRbJXdm56Q/3hJamD4cyIaHc/v7ty2noaXSfFqeGx0MMDS8 4CwN66ceTJVsYcCLhbjhqChlpJY/eBPutQD2Xj4KNfeMcUfnYx5rCwaYZLML hx+Z4qtWHc8tBE+LdzsF/nq3DzOe1UobL01D/T877adyrni6TFPrKsE7QiGq 0sbKJNzBR77ruokBlIhUG3c1DxSvfH80o3UKKlxX3hbc4Ym142N8CUT/WEV7 al16h7ifhvwnqll0+L438OMmDT8c+Zmoe7mG4O0NRaVe2yj4gq1fNEHwePC2 HL6FV1SMbHufsJVF9OUM82g1MxqeCD0oL0Dwnbf0k4UPRxXxgczGBe6wBVi1 Oy9dZocpkX8NKwV56KCs0WK/08cO8ySvi7M9OfC2/e39x10uWCynLvw4jQ7z B3Le1fW54r3bU1yuhL90rLxcU/3HA1lWUuFO4RwYfjM+YJBMxll41jZB5K0c 14Si+Ao/5PURz64jzqtqsCfv/WoKNjg4qmzeSfCy2b6y/zbR0O7pYcmdRP91 4blTeHGbCdYzMvM67xF+Oba/rFrLDJXFXx7p5adDX9OR6xb7bVFte99MkxwH nii3v6ijuGJURtDBb3bE+Z66c8+f5oF/V+RfmN3LBm3BxLL1TWSk77iXu8mH Dqx93vXj9hS8m3jTIUabAyBy/sDTfirmdtOF4pPo0NJlaHgrgIZZ0aH5l4j5 SmRY1aYReq/W+DHLUPzf8yNLT5aufQVDA2ODwMJyGDY+9XV2Xg412wMOxqr/ BaEkRb2CbBOMUjF1sSV4Psmpqf5ztS16sdeYOZzgAHXA57pHjiv+O/dc9Ggg 0ScfLfdwuOyB+wIk23z+sWExQlb0RA8ZC5Pp4RKE/0UPadXvHybyUOWn8H0p NnRQ107vX6JieEXro1ZfOtzkFSqzYivhV271FsXUBTi695f7zkxT3KVRs+TG 6AEeHc3MahFXfHiyWrKOuF7fdHwzW94T2+3EPC9YEPsCTZOfi8jYyH0jNuA2 He7alg1Eq1HwcZ/8dOpBDuT8EzhrZUDDFZxIXBtM5IeSeUPxrAKe86EHt21Y AENmglWQmCkO1KnskV5J9DPtHdQXe+3QXWZtb0QEB1asuiP46IMLfnkqK5Vy nQ6+83HGN7o9MOud4M6VhF7LH2Y9vcjth0Xc1ZaVxDxEpce/9glS8P6fBp53 qzmwq3xVTYssDcXnCvvuE/N4kLcnmHe1GVoZKKbOzPXAtn0HxTS1bFFLZm3M 2SGC7z0qpWodXdF/vn/TKaLfDdMvuBjUkZH7vx/Hg2jEfp88OC9kScHyIBfr eGsOvG9PE7X6RUUZUUdBn3w6SGoHWO2bk8cjR033mEzMgY/JYtabOVu8F68h fIbwo4jvhnaxzz1wImYnf4cN0Y9Xd7KSxsnIuPLaso3oN68SRa2k5/yxaNcW LbjHhuS0jA5RERpaUxu3thN6aJseUS6aUsZLo/IqCdILsOa3cG/BF1NMocUc Xc/qgeNvw78/2+aKuVdmnvg40IF08f7NpDIyejf2OgUlEnk+kB5utJuCX/u/ 5fEFceDIWrVdHI4iykfeYQVdWYCuC2Wtn/ebopOP1I+9Uz1wtnh4X8WoCz7V zlv2No7wC7mqnc1LHig4q1+wQPy8Z+Unr7L1FFSZiPv4YT8HBjvOF6dq0pDi bX9b2Z0OlmZBU0H2ZjjAv31v5Ro6XDY6sc0/yhZ3rHK5s4K4/8Njs94Nh12x fGU6ZYq4v+PbogTYLWR8vkw8ypPou+VmyS9Vx6iY73vqbAzhPxYjp5d9IvaJ 8lz7P3mi32V0/LUWu2OLkYNTLfePcMDsw9gP/Z9kfLRq8cr/zjtElh3rP09F amGHsTfRz/OT92dUVirhYc8+8V/5CyCa2frEK9EU02bZtb96e0DBXqZBd7kr GunpetEIPfG8YPwJWu+JRo5L8heJPu5E23nmrDIFf61/eq+buH/9u+k3hJ8q IF1T8mQCYx6MnwRM/tOww7eDgkOsWA5sigjlX//NA5MwhOlNXL8gEHDadpGM fp8XlSsJnmw+MGbcI0XD/+p9Du0jPq/Z6NZ36txmqOVVXEEh5i919KblXmtX TOXKbqYRevydz8lbb0pBbknZlh3OHDjwdutGwWFbTGI/2hmYQuh934414489 sGvNr9xzezkgH1RSZjpCxu/nXkjnEvOVNonwkRei4fSE84ohQm/3gdvwVYMp ZokPeJ8k9r2w15dPT80VCyaFouWJ669xrxOx16GgZVVwc0coB4LywqTI1Yro 17BvbWrKAhxm3dCaMTLF9TbSB/4R+7Q2986c4YwHrqt5vEaD2E+BT67zL8Qp 2KtSGK5pxoH4CyGqBeo0NCpgOPsReQZ880PO/rYoJKq2fpDw85wVg2kY6oqZ qwrChIh5kGTmPZZ/IKN87/mkCA86HPucrZP+1hZ13s15BZ3hQIXUPtOGXjK+ krxjsJO43uTRjlCjZTRkdKmb9BP99WFCY3OPtjIWiN7WDj66AL8GhxZEr5ui +i+ZlI1E3s5pq1gFb6Ggde4DOd0w4nyvLf3S3aWIyoNXPQ2sF+Dq6ZSELf0e SDF4/+1/+XRzYYturQINXXf3P7pJ8EAHvvlt4OmKsWp/SPsJnnOpfy9wWsgO JUvWP04/y4EHPvapvK880PLiBm0vNw6kP10u9X6ajOvDp+83Erww/f2hA5cY DclPWQF+xO+LzpE8c5RhisdHy49PEf3O87/EO3v0XPFG7Ao9FyKfzFr427T3 UjDE4YtBJoUDiRcZzud1lTAga2bW9MYCGO15HlXiZ4qnApw6W0Z6IOXeqygX AU+UbRkkDRDXP7hiXl8sQ8Eus6vXVhP85qRwXyp+Ow29DC+bJBD8PXViWUzY GVsMcyCd3PW/99sEtYyOu+LGl1rWqcQ+XjcdrWC2kvHbT+uuXiJvmesVbo8R +yge+eiboQoL/u/5W67///V/zxv+3+v/B6K6e0Q= "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl13f8j2UYxXGhKJUVKntEishMlJERoiIVyoqMBhWSHZpISqWUQtKiqbSH 1S7tvTTskmhK71N/nNd1Puf6rud57vu6f7+qA4Z3u7BggQIF9qKnC/1fnyr0 v2/Ir1AXeMEkdaXm+Xwn/lB+Dh2Hy+O7vPZH6i/bT7aBeuJJtIZayTfSWnkD fAh/I7XAh3r/nbIfqJ9sX9mPdGZ+Fx5HNXBBr5soW4g749p4NW6JN9Aa2dH4 Zf48vqP+wfwN1BwfgufrP4TPxE3w93g834vvKy/K/0BnyB+XzeMvU5/Sm6cO wK0K/X/DlqjT8AB1LJ6hVsd7qRO85EH1enxh7mGuV+2ED1dX6S9QR+Hu6vH6 U9Qf1dWy+vp3qRNlL8mG8Sfy5fhr+SH8bP5Y/mD+Dq9fhs/AjfF3uA8ugr+n 0/EeukxWLQ/ca8YrK+k42Q+0Sl4P307r6WzZPrLvqAcel3tLLeTf00r5Ubgu 1aEj6Qg6jcbSS9Tc676jl/O88Iv8UL6D7y/LX8MPzn3iZ6nNcLnc9zwn9SZ8 ibpU/2b1dNxI/Vb/bnVc1pl6lv5V6t54fe6p/mP4Nn6MukL/NrU/bqn+oz+V 78+P0avK78mzls9SL8ialnfka/Evykfy3fhj5evppTxLeZn8djoGl813yr6h 3rLCsm/zPjyGXqBm8m/pxXw2Poi/jpriMt5/q+xr6iUrJPuGTsW76VJZFfwP XYqfp2Nk39ALspq4ND+TmuCDfN5c2VfUU1ZQ9jWdgv+m0bLKeDeNxs9RU9nX 9LzsMFwqa5sa49I+75asbdwDN8Rf4jPxXvgrOhk/ifvxx+v/hafw/bLe5dPV SvhvGqX3AL6OPz9zIPtVPTHXoj6bfaBeknugNtG/XP1KfU5WI9+V9/ET1Bfk 89UhuL1aEl/Nn8tP5xvxpfibvW8OfzH/gPy0zCX+i6zdzB7+jAxD/kvqyj6B +/LH6f2Z9YAr4r9oJJ6PO+Se6T+DG+Mv6VlZdVwie5ca4pJZ27LP6XTZHvpC 3gVfkllMjZLRM/JquCpVocpUiU6iizOvqaHXfU5Pe21FXDx7ixrgEr5rjux+ 3D0zEn+WWZA5x/eQX5k9kc+QddZ7NOswa0xdLr9V7YNbqH/o36Nejvvm2eS6 1Ar4T7oo34Vn8udlNunPVtvneWUv5ndnDfIN9D6jp3CFrGd+MN9O78A8Ozoa F8c36t+Hu2U+4k8za/DufEbOJfx7PhuXx3/QiKwPOlr2Ka3IeYUPyLyg+vhA n3WD7BPqLvs7r835gX+ji/Ch+HcannVA9WWf0JM5v/D+uYdUDx+Q2Sz7mLrJ /sprM7/xLhqBD8G/5WzAy6me7GN6IucULsZfQUfh/TMfZffiUzOj8Uf4VPxn 3pd5mvOKP5tvrr8TD8cH412ZZ5nruF3Wov7jua7sVf4o+Ue0PGdJri/nJD9e fU5+h3oubqvuh+9Vr8KDcv5ldql1cTF1Vs6hPKusA3WJ/k3qKTkr1A8zB3Me Jcs1Zj3l+7Nf9eZmDskek53FH8v/Kp/M9+EvlJfjd2ZeyOfhttkfeU/OIvwh PZ5zBO/LT6U6eL/MGdkHdLLs97w2aw3voAtwWfxr1m32QM412Qf0WGY7nknv U1fZb+nlvuBh9EjOQNn79GhmeWZ75jGdQEPp4ZyR+u/RI5lFuA0NyXlHteXv 0sOZEXgGvUddZLvy2fLW+W18b76Za/oFT+LP5s/PvlfL4B00OHsGz+CH5WzS v149AVdVl+nfqY7IjFMP15+srlMfyuzI+swe5sdlHstvVwfhE9SiWff8QH4K fyS/b2ZtZgQ+GdfF72Ze4Z25dlkrvJ3OwwfhXzKj8VKqJXuHlmXf42tpHXWW /Zr7I2+Jf859x6Xx9qzHnEtUU/Y2Lc3exkVyZtARuKjfco3sHeok20Hrck7h n/KMcCn8c64pZxMdJnuLHszexvvkHlFtXMTnXS17mzrKfslvzxmBt+W54pL4 JzoH34rb8FW8735cA79JD2SfZ4+qY3N+yAbybfI3TfZJ3s9P4mfmOeF9sg9z zzK/MuvUxfpz1K64jvqW/iL1Utwj56r+NHV77lHmedZtznR+lPqIfK7aCx+j btWfyJ/FD9YrwW+jAdmruDVfWe++zJucX3x1+Rt0f2ZCzjL+nKxbvcL8RKqF 98ZX6t+Nu+Aj8Zu4A/459zyzDG+hc3FxvJX6ZxZSNdnrdF/2Nr6C3qD2sp9y XzM/cD9aQlVlr2V+ZY3iolkb1Iz6Zr1SFf1XaUnuL55Gr1M72bZcV+4L7kOL qbLsFbon14On0mvUVrY1v0/eFG+mQfhAvCV7NddNlWRrabGsMC7ET6Ca4ewp 2eycO/wi+Un8Efyr8oXqaHxa9nPmnLol1yhrklmTv3P4kerD8lvUnvk96qb8 fnUC7q0O1L9aPQBvzvPWn64OzdrQa8VXym+Q5x/Gk/iK8jV0d8H//p0oUJAf T4eF8/eB7JXMN9nm3Fd5Y7yRzsH74035fnwzbslX9L6FuAJeTYsK/vcnWIHJ tJZayzblngsb4Q00ABfDG6kXvgkfz1fwWQsy1/nOfHn5KlqI/wXRRcoi "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl13fgTfUfx/GvkVEZiWwZ2TOjkNFAEYXsPSIjW8iWkZ1CZY+Mskd2klHZ sgqVBqFIpJCoHu/f74+X1+v5ep9z77n3nvP5fOVq061u10QJCQkbkyQkhM9P nJCwS8hKz+q64Hn6bHIleaq+Cf5Zvofa4Au4NO3Gv+An6HM8lFQJ7/nnU102 mo+ze63KurdxU/yLfC+1xT/jMrQHX8RP0m48jJI4L69+oC4xwYQF+DM5O9VU dMXv6XPIj8vv6DvK4+Rm+os8FY3WvRjvzwfhhfwX80d54ziPrzLvzd/Gq/gj 5nvlS/rh+Clej/fRzed7zAvxmnENZt3kN+XX9EnlfPKguG5KqluIP5dz0ALc nC7pUlM73cW4HtqHf8VVaC8eTnfRIv1u3YO0ELegsrRff1lXlfbhEZSMFuv3 6HLSItySylFySkEp6X3H7DXPRYtxKypPB/S/6arRfjyS7qYP9Pt0uel93Jp+ 1aWh9rpL+DE6iK/gp+kALuz7qKVbgEfF58H58eD4buIewm3xZvke8yXyfjkP 1TLrhj/QPyg/Ib+rb4Mvy2npJdzMbHB8d/G9yE3iOL7a7BX+Dl7NK5gfkq/q R+BneH3eN35HftC8CH8OT+ELzbvzt/By/np8v7wAnsCHmLflI/FdcQ/HvSZv kfvLM+N+d85SfkD3EC3BOc2e1E2L8/Fv8n3UAV/GFekL/DuuTofw6Pj9nFdQ P1SXjFLpluGDcl5ail+kK7p01FH3G65Eh/E1XIO+wGPiXvB6hfTDdMkptW45 PiTno2W4HV3V3U+ddFdwZTqC/4i1gw7jsZSGVui/0OWn5bg9/a5LT511V/Hj dBT/Gc8yHcFFXcvzukV4XNyjuHA8U/hFeZScQn5KbifP5B/hAXwWXsfTOm+l fFg/NH4n/hzvrpvDV5jniucZT+LTzTvx8XGP8ZfMr8kZaAx+2bx5/M7xW8Qz JDeV18R9i4/J1+M+paN4PN1Hq/RHdAVpJe5AT1I6Wm12VF+IVuGO9BTdT+kp A61xzDHzwrQad6IqdFx/Iz4THcMT6AFaqz+uK0JrcGf6Q/cAddFdw1XpS3wT P0/H8cR4tn2mIvrhupSUUfch/lIuSmtxbsdU0c3AL+M/5YwUG0oLs6FxL8T6 ITeT1+r7yO/K1fRf8b90I3W1eQPeL97DrFh0sd/wxWY9+GS8gr9hfg8viify Eebt4jnE7/O7Y63k7fEsvhUP5LPxep7J+evkr/TF4nPreuAP9XnkqnEf6bvg 63Im6ob/jLXMvHkcG2sZPiHfkuvQV7i4eZ24DjwJ34uL4ZGxjlFm3Xp8Qi5O 63BXuqHLTN111/EzdBL/jevSCfwmpfJ6xfWjdPdSFt0GfFIuQetxN7qpy0I9 dDdwdTqFb+MX6CR+i1J7vRL612PdoKy6jfiU/DBtwN3pL11W6qm7iWvQ1/gO rkencAmvVTeeGTw5nnv8cOy1sYbEfhTPEv5Yzma+Sf5aLkm1zXrijfqH5Gry m/EMm3XmE/CS+J3Mb8nZaCzuZd6SD4s1gv9lXoG3iHWUrzPvy6fF88mfNf9G /if2HVyfN+SvxrWYPSy/EO+ln4LT4pLx3OM0lF23GX8jl6JNuCfVpByxH8U6 HutJPB+0xbHfOq40bca9qBZ9q/837nn6Bk+NNcJ7lYrPpUsbe53uI3xaLkNb cF7HPK2bjXvjv+Xs1Bvfij3CvGXc57Ee4NNy/BHWEDcy6x/Xoyop15OX6nvK U+S3Yy2SS8vj9O3l0bEHydXkDvG+fBsexOfgDfwh522Vv9MPi7+T4nmI30Y3 N9Zj83yxr+K34rxYL/jEeH/+ivltOUe8b7B5K/5a3P+xT8mt4r3iWcXfyYmo ET6NS8XviJfhd2LNxGXweJwu9kDdx/h7+VHaivvQHd2D1Ed3G9em73Fiaqz7 Dr8b6298Jt0E3f2xB+q24R/ksvQx7kv/6HJSX90dXId+wEmoie57PC3Wcq/3 aKxduvSxJ+o+wT/K5Wgb7kd16Ud9Umqq/wFPj7Xd+WV1b+gyUAHddnxGLh/r hXlv/Ik+v1w9fodYz2LtlF/V/8tzUT99a/3weCb0leXW8nS+0axf7Iexdsdz YX5GvivWi1jTzRvzAXgB/9G8NG8Q9xJfbt6LT8Ur+QzzjLxcXDufZP4SHxN7 Uqyncse47tgjHbtDPis/Rttxf6pHhagwFaGisVfQTsf+5LgKtAMPoPp0Vp+M muvP4JmxRtMu3TldRdqJB1L8hyJ3fD+6f2ED+gknpxa6s7iMYxrGPoRn4Uy4 fKxVuIM8NvZA+Rm5k7xdHizPlUs4/lN+XvearlKsxXG/6+bxXeYFeA08mc8z 7xrfU9zbfJB5Ip4n7u14ls3bxP6HFydJ+N9/4B7nbfAMvgm/Gt977Fdx3Q45 J6eglmZNdAPje9M/IjeK30k/G2fGj8XzijNRddwZ74h9wfwz+YJcmT7FBWNt 1c2PzxtLTqwLeABOFGuP7jxOSa3wOTyHsjiuQnze2BtjL9B9jn+Oz0Kf4SHU mC7o76bW+vN4LmV1fkXdlNgLqUb8fYZ3ykPiO0z8///blnLsfxocyKU= "]]}}}], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwUmnk4VV8Xx2UoRf1CyVSZKiSRIZrWSpnnIfN4uQhlTIhSISRJksqUEFKp UBRNQgOVJA3mSNxrvPegxLvfvzyfZ+97ztprfdc653seUrQASzonBwdHGjcH x///Sp//dyNn3cc9AxtuOi4sdMNDXvn1h3zuwuedIwpG37vhefidAjmfp5DD ujwf8qgbGpSDvBf7vIf33MPN3452Q9TqhUcLeZ/ApUjUZMC+GzLSdPbMnfsC u2LFznjs7oam5FZ9tnc3bIsTcIng7YbxWP5f4aW9IHJ6ly57rAuiX96Vn87r h4UPQo/KOrogA6k7U+d+wZVDRSpFt7tA5sSViaDY3+B+3D2t/UoXlNfuUhuP HIFk+/KBdWe64PWO09UM7zEQWPO04rtnF9zaJXRc/e44aMiz8/cd6IKJ7565 oaUTcOggGpbqdoHmsapnDwon4Y/57sPLtLrguBhv32TeFIigvIKrYhfUV9tz bctiQdzj7qEbkl2wzP6WbNBlNkgoK7q0re4C85k5nfI0Cr49XH6SwdcFly+b eo+dmwZglcYPcXZBl0ZeglLiDBxYOtJZ/6cTZNsnSg7FzoJmLpfi8alO8D2y 723ZiT/QseGkvgCzE8pXXWKMRP4Fv+7CHcd+dQL1YHD55rA5GPv7QKO6rxN2 W2lu9Q36B2fZd641dXVC7GSieYn/PJzXEZoo+t4Jby58DxryXgCxnpyfFl87 ISEz4/VFFQ4MtCw1aPzSCYo+4KB6lwNdvApX8RB+v31ouFVxEVYqGrssJRy8 5MKx4NJFaDK0wqWV8OovWvyCcpzo27TC14Vc71FRX9a9Qk78tNhx5ha5n2PY 2S0WMlxot8v2ajWJZ15HrW48jwtDpyL+xZF4r6/uNE1dx43vnD+N/EfOs38g rntrFjdmKyjr2zA6YahCKfC9KA86K/5caTfZCWdjv3AEXObBJCkvx1WznaBk HXNhxerF2CKxwTaJowtaZeSl76QtxqEfc4bVvF0g8jJyH/PcElRpMr0F4l3w OE2mLZmPF3U+LhfN2NAFLrR3noqJvPhZRPfUDeUuKFi0Lt4vdil2eQ3u7NPv Ar2PDcJ8nMvQ7/Ci3UI2XTCcF3Cz9MQydN6zNfePRxeo4POm35F8OBO97gPj ZBe0/edrnzjDh4ckBf5NX+iC8G7BYbkwfpRcVry3Jr8L6o578vkELUeNnUvv 0Ru6wLB2iemg938YPpEp7SPcDSoLNLbw+H/Y8/TygqhSNyRLurbI7FqJnPvt o0p0uyGUVnPEun4lGm8ofe8V2Q0+XD6v/XkFUMz1w53Ll7rBqWD12jhjAbzz 1XR/2b1u2D8YWF/ZJoCCvIu5EhjdoHlmnUiLiCBqvSw+X8LTA4py7/wGnQQx f5q2ELu6B4R8NwmtGRDEjZq1YvkaPdDH7HQPZwthQPbfF1eO90B7ytnKVK1V eHh5sGzrhR54s1VraUn0Kmx4L0U/W9gD94PSy7/yrMZeTiH6mZYeOMk2XNgh LIyn+8W3dWzshdCMGUsrB2GUjvpsYrinF3y2FxX55Qhjm2hDvLFNL5hHLDLN 2rgGzS59UVqW0AuS/x5m/dMQwdA0aeNbk72wKoc+vvqYCFrttpnqWtEHvCC0 X+mpCC5s6W+q3NwHYzGHR1z0RNFiTwjd1rsP6rg37HhmK4aFnFoyFYN9cL+w 9VzHNTFMr516asjbD0W6Mb3j3WIYeetO+hWFfkhJ+J4g5SOO8kdjxH2D+sGZ P+3LqXAJdPMpXCXG+xPMb8Pma08kkCtPdVnV1p+w35R5/AHHWkwRjFGXsPsJ iqn6G38mrMVm3axwk1s/YU5oIVTnyjrct/qIk7vjADQv11jK7SyJ0OR6Xrpv EFqNBDNboiTxfv6VwhnBX9CROLrxSpYkrulu9wza/wt+8tzcr/RDEqvSLOe0 Sn7B3L81MXaOUnhH7TL/lYghUBidpcrspbEwZ+ji663DkNBS+/OAjSzGTxdF KzxiQgr/1RDJMFl0CFDTuDnGhHTDMM6RS7IYrPefxPeNo5DboCQZ81kWuyTM 6y3TR6GqLtex1HoDopffyJzvGAzcOdk6b7kRw+LP+iw/NQ7DDGf318Eb8eaF G0vTr47DuMKO8YtpG3Fds1Pkj/vjMFc0uVy+lexXl7tb3jcOq3I9DKwsNqHE zRX6TjAB2ud1nt00k0PDPm6JEsYExBhWlLQelkPeZu1NzRyTUMcjc/HfOTk0 +aR+p2LVJOyI4vCyeieH51E77P3OSVA9+JhvQV8elfZNi+45Mwmy+1RsbbQV 0CParc9ZaApo87l40l0BY3QM/vstMwV51SsUymIU8B1LI2WP2hSZy4y5RU8V sDtRN8rQegpWr72Zf3vnZhwsS5idujAFi6clRrnVFVG0YVpsjosF+++f/bLV WhEVUhdf8xZgwalDf545hCjicaLtwnUsmO//crH8niIy0i61Z2qyYPpDmpaT 0hY8eOed0GFfFgyV8sY92KSEx1p0pdUaWLDR6+jhLl0lfBop1jz9gQWeUoO2 S72UsP/Mo8z07yzoufxSwbVACSetr8k7jrPga+zxD8uktqJe51/BTSJsoG/9 s1xluTIydI/bLndng/H3M4Ui65TxDs+JDD1fNqidWb2bY6syurjyczmGsIG7 W9n/vbkyxt+4LfhfHBvyU7zfHEpXxsf7A8IeFrEhaQfb/UChMvLfbr3acIcN QYOnZndVKeMP1+vS96vYgHty5Pg7yLpsdO/6BjZ0M9viS8VVcOFmk6dbPxsa rtDWpSmqYNLGe/+chtlwR2e8MmK3ChqrFnZpTrDheDbfgL4rWZe5//n8PHku mmjv+5WvgnHfVbtfrqHAvuzugozCNow1UZpO2k8B2u2+zLdzG1YUKefkG1Ag x/1WacpoG9JbuE/lmFIw4zjo/OLQNpSKvS26346CDL61T9zubcPnHHtFTH0p OP6w1Er/xTYcOctUP3+YArqH5sjWT9vwd5XU3apgCtQeW4ktsLbhhGNbRXUk BZ98k8KzNVXReFFyZ0YiBTXCIivjDFQxddG2coFzFOS/KLzp76CKBj+yX4em UhAs9rx9Z5QqipYse8TKoMChwfSwzDlVFNP5PS9wlYK9wT94+HJU8TebFSCS TcHKN9Nq356q4u77Mnd680n8R+LePf+giva58r8KCinolhLyLOlVxbvnxGQs iym4E6F0MZxLDTd9/HPE7zYFJvL0CWE9Nfz92n5tbhUFf84eedxpo4Y6Fa0d 6Y8oKB6NiyvwUiP6rXkdXkMBd0WR6LZ4NXTbkzjAV0fBfeGH/TOX1HBFTqfT 46cUuEY03n5aqIYxn3uv2z8n590ztNfklRoGVefIedRT4HN9hm/VZzUc2qT8 oOUVBau5l7Z/+6mGWb682fKNFAS+lvf14VZHLhEd8TuvKVinuENt6yp1DObO YX95Q8HbFMN5tow6UqLaNRNvKdho7Zd2ep86noauRHYzBW1Vx5wMrdRxe4TY l+4WCk6KJm8U8FDHhh7GxZr3FChFZY1/CVZH+bM+PXEfKPjRVVaTc0odjbMO /dj7kYKkvbWx9DR1XDq9qniUsGZBs6liPlmPDqAlt1IwuLhLZOqeOl4J/Scv /omCiwdH+6qfqyP9yZ611wjju/mymI/qyHO0xoG/jYJRpf+O6vWqo/1XJY4A wlkX1u9dMaGOe8U/KbwkbMjayveZQwMZJd3TvJ9J/Wzw87WVGpiq5B2LhAur zXNpkhpYw65iHCRsKeF+UF5ZA8ulWcZxhDlOBKmSt0tcwF3P0wjf6T35r8pM Ayn3NfT/s+P+tMZoVw1UYsVZxRLmvZl/YX+ABvqeO33Th3DV0geOfCc08MAp 5jEg7On/ckNriga6Zg0O/z8egfefxjJzNPCamtGKVyTeOpWf1a53NPBnN2sh hLB/Ouv0xjoN1Go2+rqasNg0tymzWQP5ToQ/KCX5aLRfLVLRqYEOq/RubiMc +mRDXyRTAzd2mzXfJvmUXq9RtvefBhpv+bFbgvCHk7phvMu3o5xU98rjJP/H f9rge4ntmDe03uUTqdfXkqNtTru245bgono7Us94/oQcGePtWNrYx5dI6q0W kOkz7LgdN43kyN8mekhVq547emw7qj+U2vuR6GXP5dcNe85ux+1ZK7w/Ej2N zH5N5bm2HcW1RR+/InrTffpH9mLNdgx8t3PfWaJHlhTfmP2b7fi+Rfy6UwMF 12PFqyW/bcfB139jpIl+5wx2mdyZ3Y7utx8JJ78g/dAWfeS1piauPdz7tuMJ 6Z84T1qfgSYe2OGyfOtjCnI0jMz+Omhin/LlxPBqordMEfkt0ZqYnmyRPFBJ gYfTgx+pzzXx9W8BULhD+n/51dclreR6pqs+SpRRYF4XU/WiXxMHOj6Zc5VS sEvSNJXFo4WStl98y0i/r/o5tM/OUAt3dccbBWVRsOzSe+UgRy38lK0bz0Pm B4du1dokfy30HpE0S7lMAePm6enHKVqolDfYFk18xCu/dbfWf9LCvm9+le1n KAibshL85bgD3ybzjBwPJPUu2LGw4L8Ds6UzjT0PUUA7IMUQOb4DO7omjIDM R9OHo68M83Zg3uYjzu0eFGw6lhhx5+cOlJrhcUmyoaCD82nPkUM70UDqRM3q HRTsFFS4y31iFz5JVdda8YcNLYscXjef34XLvJZrtrHZ4DaR2J+Rtwv9Pn3N vkDmfeyH32vkX+zCocKwp5NDZH9KSYwJz240Onluh9kXsp9P3jLj7G68XH8u 7+h9sp9bjr0pcw9e1Ki9W0FjgzDL9r+J4j2oJV+ie8SZDcX9Z+Rrqvdgjvil 1Up2bGh+8cvZ+PseTJpbGphgQvafvNkQuA4wXNu/qGc7G0r+bcysLgDcon/1 iAwfG7z/pmUX2iEGbN2Us7qMBemmjJcRbohSf2cuWxSx4Nl1nWETH0SOpyed zuSxQER/RoM6iji7eaNDTzoLmtKdP+heRkx1OPtQP5oF8kpyXEOfybqUxLtp YxaMuNX6KFjtxcnUYxNzv6YgoOGX6l0TbfxwZWpD2YopSHJYvOGf/350XLvw T2/1BOxR5qd+h+7HkBb3KO4VEzDBI9jYHrUfnRytI+sXT4DdvbUHy5PJ/sBZ P7OZcdjAq37bo2w/bpXypKV/H4dnlR7qb0b2Y7FVrhQrfxyolc91LvvqYGSC zN336uNQOtggHBusgzvPR/qrbh0H5yfvfgVG6uD6jPvrcuTGod67I9EwSQdT ehe9ShAfhwt1Y83/SnTwPettXeWicVD0X2fj+VsH93z61seTOwYejce8VHx0 cWtBgdaS/lHw3LXRlArQxY+qk2niHaPgde+D+uOjupgTJBOm3TwKPtc28Oic 0cXANR0eTQ9H4XDA+xt2RboorsiV+OjcKESukek98VMXLWPFz+juHoWo5Oam /QxdNDWYotJURyF6UXj5UpYu6hVwsabkRyFm5N2Ji1x6+Ih1aDlLeBTin4at uymth64ZR6ixCSakeb9xbHHTQ8k1DxrGbpH32x+h+y766OG1UpGCtBtMuGSx frNdoB5u7t7zxegaEzJ3hv7pPaGHpycbSxedZULOf+uusHP08M6+odloPyaU Pgxql+jUQ7fERVkflJlQpihR1/tTDy34Ir0G5Jlw+3pDYRFDD7MMX6sIyjCh /Kz4EeU5PWxZ1aFWsZoJVa6vhPaL6+Ojodl2iTkGPF8iauFnr4+J9K+Cmc0M GLyhZPjVXR+fdcZ8etXIAH7cv0/PVx8vfoz9IvCCAXbhAeoyx/RRydJyB89D BowNvRL9nqWPx25IHHbOZ8CquO+CBoX6mMr93uhkNgN2SE3wPbytj0U4e6k+ kwHx9hLzaXX6eC9VZFnpeQasfRPcZ9ijj1tpvU2s4wzQ9kr4/mhIH4V2aTuJ HGOAD2dO28YJfeQ2yc52OsqAih2vGzg5DXBrzO82vUAGfGvvehq4zAAzFddL jfkzgCOE9ahL0AAVbiY3PTzIAKNb62/VyBigoWnb99seDAjUUy+QUzTApnHD G9/dGJDRb5idoWaAb4Mcoja7MODJCbcM7t0G6HPuQka2IwP6xMPOB+sY4D+R NdLb7BnA++hsQo+JAaoq2Jn9tmEQf3/9pKmNAdK4t5q/tGZARPK7EAVvA7Sy McnoMWdAjlyff2aAAfYrFmnLmjGgvn6avjjcAGc/Z6aeNWHAsNty19AYAwyu j6wUNmbAyn/Sdn0JBui4X2volSEDNK5oWphfMEBJ63+uVwwY4KRualh3xQDL lcasL+gz4NRHj32K+QaYc7Ge444eA24eith1tdQAY4+5Z4/pMuDd0vPqvA8M UIxngW5DeLKwQCnssQG6letc7tNhgIh2zaafLw3w/peFQ+mE93S9l7R8Z4B0 p3w5f8KekQOiz9oM8Kym7RJfwknCfwWVOsnveR0NUwiX31/JnzVAzvfx2Lav hD+bbuRZNmqA89f9uIzI/f4M75w/Shng9oN1i34SljxjMT0wb4B/tywNLiDx 6sp4j1stMcTSR9uvJpPz+D+N+v38P0P8HrfpZRY5b5pjWt9WEUOEQmGNzyQf j6Zvfs+WNMRHdMddGiRfXRdr2/jkDbFL4ZbUM5JPLuVPzREqhvjmmJxaCMm3 3Luhhl9ahjicvPKFmQUDTH3mnx7QNsSEs7xiNlYMCOVeVf3S0BCHVJakxB9g wNU8+fsqVoZYNX0lqNeWAc92wa1cR0PMsTEX8XYg/dFhXbDc0xCX+R9qX+PM ABWBmIzfoYZY1HFj7i+NATW8X+QaowwxSizy8zSd6JlD6XFBrCGmm7bQxYge rce+d7umG2JvYOu3tgAG/BjcFrw7yxBXv290PhTCAHpXIrd4gSHa54V92EL0 Hta8Xb79gSH2Xfn3ctMJBizUpzx+8JisGxX+dj/NgIQnAyYXXhpifbm8wasz DLhy62Kw8SdD/IOv+ZdeIHpOHHv8YtIQJ62abVIKGaBzUtc0748hPtb6Ny5+ iwEt4dk90ZxGOMJtcflzOQO6vY14tASNcLO1Y3LLEwZw6t40vatihJGfMvt6 2xlwdvd8T7KWEapseV7yrZP0u/qBEN+9RvhXlXWdc4ABG2S5MjdYGOFYCtXc O8UAfU7X3muBRljx1X98SIgJH2crQyLCjTBntkLQW4IJDhP8i21jjHC18/lP azYwwa+nRkEw1QhvfP0xLbidCSl1wqEJd40w9J+If5QzE9ZUHVrs9dAI11ed Fs3yZkLe7frMfU+N0DOwkHsyiAn3soJr51tIvHK5vtpnmNAW2bL4yKgRWn5/ qH+qggnOwRuuWFJGqNq3+aHbMyYMHozarDxvhAOj33kj3jFh2k7BfGS5MdbE aYrZDzBBbHv8FfctxrhM849Qv+gouE7tVjT1N8YHeHNXeMoo8AtyfGgLNcb6 kv7BiNxRqFF+EeIYbYzMTR8eNZSPwqrDuo99Uoxxb5bVsn1to9A0ZGp4utwY h1l3gpvXjYFyl6vPI5YxbvZe/ARejEHnnBQ//DPG2QVlA56OMUgS/3n3FY8J 6m78vEt4dAx+2vlMtwqb4AbGj53Jy8ch81NgPFPTBP+KPu3X3TUOHK9PFkhH m2CdVKjnrrxxuP1rn35JnAlqb2p+aXR7HBwWL2ZsTTHBp1tu9YfXjEPFviTV 3bkm6OFzY4n853HwqUt7YfvcBIPKmvY38k3Ahwc3epJ5TLGbChYQjJ6AvJxX EtPnTPHA/vkQT+9JuOak+OVAhimuz72Y8OLIJGSIXbxQkWOKZVJDW0RjJyE5 w21x8F1TPK5m+OZW3iSEp/wdY3wwRRvdfaoGXyfB4rjKyz4hM/TbfRjT9KbA eFdm9F4JM5yyjT/FfWAK9P/Mb8+TNcM/TBM+d9oU7Al7V+asbob/cXF5tkdN gcJh74wOGzPkXaHKn18+BZwu2Qdbrpjh2vsCp6yEWPBPnFt2S74ZJvbf/a64 ngUzX327zpaa4T+2ZsxvBRaMHtC0Mnhshtob1N/wabPgu8mnXfU/zLBrlYXG 2GEWfMvh5u38zxxZtxNF17xkQce/7XT+VeZYYLaIa1UzCz47+b3YKWKOK4Rl CyfbWfBBrDXqqqQ5Hnsst+nAMAsaMnInbFXM8Zf8f4bl/7HhfsqO762W5ujU J6D73poN7tdW8NTYmOPrzUlFHk5sWFncp3TdwRzjrEffdXmw4fDzpFMBNHPk 1/b8nhjMBgXWN3n+YHO0FVstV5XChq8cd62mjpijv4Bg7+lLbEhYfjr6W4Q5 Xqv/YaqVxYbBjZs/Fp80R/0ojbeOJWzItz8WrnPBHN+7vmecesEGCy+zfMVL 5qjMe27sQhObPD9l3gldMcduLK1MbGGDS/Lb9X155njYJF9E7RsbxJ6KNx4v N8dk56D14eNsSJN9svrRe3N05otp+CFCwV6VVMj9ZI6xhtotCWspGN/teTD+ izlmzcV9Wy9N3u9t+Wutu81xq2XDhf82E3+R5OQ5MWqODCr28OxOCqozlFM6 Js0xytYiZRESv3+D+9FTiuSL614rex8FDU/K+FLmzTH4PoftDSMKTo3N3VdY YYEuZW82CTtQoDL34YeAoAXGV1fonnamoIe3cPHsagvsd9XO73Qj/k3axKFx rQU+XLQ508Gbgj/W2Ys8t1hgtKmtWkQIBSXuQZuNVCzwcNX2UaswCuwO6xzY pm6BP8VKJiQiiN89wyzm2G2B768l2UUepyCkZrd5trEFfuJvUfJKoKDCoZHz q7kFPhK+uXYoiQLqj3nlqgMWqMK33NvmHAXhOz3Fkp0tULq+vWjmAjnvd+a7 RneyfqNrRDGdxHPs6AkuLwtsLBGVM82gIOpJ0s/Iwxa4Eo3W2RH/Veu06nJV sAUq/NOT3Uv82fxctsFkmAU+tVSoXpNDwcnd9+4cPEHiP35TOuU6BS86d7gX nrZAvW1XUekGBdzH64V6z1ggrJGOeVJA/G/dl3C7VAssURedvHGT+G0X983p 6RYYxJr3/VdM/P7CcOf7TAscu/4+TYf4RYPc0FS+bAv8NZiYHHWL+E+Y19a7 boFMxqbIfOIv33afYZ8qtMD7lc7RD29TwB8jUFxXYoH52t0PHxM/ev6Z7HKN +xY472Non1ZO/LrbnadBVRa4LYuHk36PAsFFmsG3aywwprqevuk+BVbXn8v+ rrPAVyY1BV8Jp+81+iL70gLZj0S6jz2g4HNvW6JbowVeuVGhtqKCAuFTLruy 3lpgtZR/fSphW+mh0S/vLVBfl13GRfxx5oug60Jt5Pyyi5d7E/5K+2tl1mGB s5LWXI8Ji3HFLT77wwIXzmy4s0DY6caK6oYeC9zQ26GgXkVB9r5MP84BC8z7 cDfDkXBXv9S6Pb/J+f6MrAghLBl760ME0wKtZd6VHyPsLqt+unLCAqfXLL5y hHB+fZ36BJvUQ/98vxvhfk/9IcU/FhjWa1q2m7AsT+tVn3mSv5WK//ETphc6 mhRwWiKHOGvTOxJPkc7AQvdiS7weWyxwnPCvgcP3xfkssbpneFCKsFz8jKft f5Zot93pxUNyft+Np9ZcFLLE2YdZdUD4VgPfm5Y1lsjH84tdTfLH8LoUtUzC Ej107p/cSFhpyfqtupLk9ydcj8WRfAfcLO49KWuJ+6rN5tpJfcr1tqXXylni TM3HteKEJ3491p1VtETzK1EzFqSe2xJ0ZtVULDFI8HjBsbukH5rsXMq0LHFz g8bHm0QPbJ++lUO7LTFMcfpkKdGLxlL/lzLalhhnQ/PII3qqNjghd83QEmtd 9q/yKqGg7k3hZKKjJd6/3FLsSPRaLvIhKNrVEl+qj+wTJHq+4fVnPNDDEuuv ypjXEb0ncJqN2fpZ4rvtxRzTpB+sdsyMbDhmiXoHj2cyMinQTZD2Ez1hiWbd aenmlynQbDce5j9tiVRxanzpJQrWBV8fmkqyRKExdhKmUTBUYjjw/KolCjBs 6inSz9+nQz0rc0i+WJXr+BMpaNHJ7S/Ot8QVjRFDa85Q8KB3qvd8qSWOqr7g FjpNwXHR7C7nGpIPp6f9mZEUCCWOfZn9aomvu97yjJH5s/iLqC2z0xK15h7W BdEpmJHd397Ta4lXjzrXjNCIvp5ltjX+tkTXl8tKXpF5Vjyz9+OlWVLPnMEy QSsyz3zS36iIWuGRQWSL7SLzUk+r9qCdFfIv+lCtwEsBU0701T0nK/yu1Dzi wk1B8LLZd7NuVsjbvNY4iYOCY82PfiQetELjyIS6hhk2pFhpzpVEWqHlt8bQ L0NsqHTdvnM4ywpT1fz+uTaygTNcvdq31wrfKenY6Rxnwxn71c/vD1ihDffA w4AINvDvZDf9+W2F30TdIS2UDavnKzqSJq0wUvFs11NfNsjFqs2UclmjgSpr UZ0NG0xTVbePbLBGZaqw2XALG64Vq1T6+Vpjpn/fwNs28vz86tGUe9gaH9na T0u+Z8Hksozvn4Kt0fuHuGTAaxYYHvqzaNcxa3x7gvGWqmXBH5WXpvzJ1lgU t1ayoogFdo+th8puW+PPgzVJI2EsEG45Kj46bo0nojWEIgRZkDpVezLw6AFU cYmIZ2+fgoHSI2E+wTbISTu8fHXkBFivne8qDrPBYCmZqiPBE1B/Pl7vd6QN nty60rrDdwLyQy+L+J62wZbwC7M3HCfAbU91jV+6De61XfLAbvcE/Pg4N3+4 ygaNlo9vsFk0AW0zp88c+WODz9pZranJ47Dfj3+8ct4GH7dPXQmOG4cHnel2 FKctqtwuuOBwfBzSXhTKH+WzxcfcNmm7A8fBPLnxbbiELaZ/5jawsh6Hd+v5 VkbtscXeX1IOHWvH4aVuWuapU7Yoeg2SNx0m74tej5sj422RvtPtVjVtDLjP /OQMSbJFIyGDBifbMdBt1DjkkWaLdUtkLrTjGLzR+753f74t/hi89Cpr1Ri0 6suO8LywxeQ6BYFLT0dhysdEcv6VLUatXsxrUEnebxPDDlCvbTHvwXqblbdG weZ109PBj7a4PS8m7mvGKHwzOJTe2GuLHxoqx+wDRqHPsGp34iI7zDavtlGW HQUuv+7gkzx2uFm9vEhefBRkz/IWRyy1Q+/DKe6agqPg9dZB0FfADp0mai9l cIzCsNHCoKGUHeZPr3S372LChLF+Kv9eOyzqjFYTymGC4KGgV9w6duje9C43 KIMJ285d/TOnb4e1bT1Ov1KYENrM8GSa22G1yzVt0RgmzJhc0Gpxs8PbbP+Z Kx5M4DD71nc+xg5X3n04IreVCU11B2RCY+1wf5H4Fzl5JqQqffSwS7DDqCX1 UyjDBMkVTT8lU+3wn6HFtpo1TMDmysF7uXZY/FFr8NMiJvDuVtmUccMOO3nf R2XOMeBDWZl35E077HDi3Bw2zQC35BtD2nftcPHvZJ1oJgNijC4Mf6qzQ421 XdW134h/esy/+dELOwwZ8D9gSvzXys0JflkNdjgXofJ35iMD8padYHi22OEv rc7erNcM8In8o2jQaocJbfy0jFcMUB4+cmhLux3+tvH2K31O/Oxr/1F2px1O 9Y9ck64h/lFrSOlbrx0ObjbjPlPFAPMSj4C6ATt8F2cQsfgBA3oSHMbjmXa4 dd5N0LaMARz6+pNr/tnhl58xTdp5DGh6+HLbHIc9ZmdwuJ/OZkDqJgjp4bZH 3wIzyZ6rxO8v0WAV89sj7ebOotFLDBgKu6d2bqU9HihcVZ13kQHlg4pHglbZ o4OaV1IA8avYIENpSdijjq8at+c5BvBq5Gqsk7THiisqfxPPkvwVih3llLXH Zv6bZs2JDMhcnfFwcJM9nls4uVkpgeQzTmDmzWZ7HL9991FZPPH/7GTNu1vt ccJqrZRBHAPGPXkjLqra4xRnUwpXLAMetZ2uPrrdHrt3WG/5cYrkf//CrONO e6x8p6zw6STJf0XkDgR7nLXtvz8UQ/IvS0XK7rPHrVETLAnCHReDHvPq2WNH R8/aQOLP87iYfxmG9ujTGOPYd5zUI8Rn10dTe6y6KtsVQli5vz+q0tIef2X7 fpElPGPpWnvFxh4DHk+Fs6NJfV58+xftYI/PO91YA4QTttnsobnYo8WY5TGK sHn+x+O6NHus37ANN5HfiwiaPFXwssdLW6LCwwn3nGxaWOFrj+l/ghyGCRdP 7MOpQ/Z4KsZaIprEF+j+NOZLkD2uf+DJUibxa37c8fzxEXtkzA+KLCbnXcCq RXkR9tir+PT5HGGH/b/edETbo+mO+Fil0wyo0BNJFzhlj+2tHw0TSP5WGBk4 G8bbY2x+iNsykm8f08iNp5Ps0fPAboHKMwx4YXFr7HGKPYYuSJUmkHpJHPjx iJVG4pc6ERX3/3o67jHyukb0suS68Nx5Bii4BqzKzbXHcMtNp8PSGBBLy+v8 csMeN+uLhYkT/Wge5Aw0KLPHiA055oNEX2n+qlqnykl+Hf4N8ecwgBHgyfm4 wh7XivD4u15nwPWwhnTFWpKP7IqyxGIGzEVMO9OfE73ZLpWjET3bRMttynll j/2qfct8yhmwLDap+r8We7wW7nft3yMGeJ55fEq/1R4bJbVWpdQyoC6JYXSy 3R5jVnqfNXnBgOALpl2TXfb4sdpKyvEdA96ln7i5uZ+wZPGaUtKfGzPLAz1/ 2eNQ8aNa+S8M4icFudrH7NHexLrzSR8D9pW1b6rmcMCBuz0rgcyHnLtLJia4 HTDm84FNklxkPt3XrFFY6oAJS5dlqy9jQln1VeMsAQcMzjLPXBBhwqpGl6AT 0g7I5yr0Za0WEw6/Ob/j0UYHlDLt/X53L5lfzc+4JhQcMDJuzjjSkAlRbdIZ NFUHvLpCMb3GiQkDvYM1OvsdsEFS/un0aTK/BtbEHtd3QHHt/zY7kXl5dUjf 5KGxAy6L32bzL5MJpmOl3XIHHFCpi3ftzB0mVM0d5ub3ckAHU/HWrk4mnFkz bdJ6xgH3bVj88bfeKKQ1NfW/OEvWFXey3Q+MQk7E1YgH5x3QDg6ZCnuMQtX3 3YXplx3QS75EXP3EKPzMjZ2zuemAJV9WVVvXjMJeOcFb3xtIfLuS9zruGgPj r/347o0Djh9SfFVjMgZ2SZXtT1ockFeQz9vBdQwCGXacOe0OONiUvtbh9Bjk lOfauw06oNhmYReHljH4q7mFd4DHEWkX7paJaY7D4uH57M9LHZFj+9ldL7XH QfDaB9WG5Y54dfR5c6LJOCj8C3G9udoRzfc75AV4jIPd85qqgxsc0fXgFbmL qeNQaaBPH93viPJ3Hye9HRuHAAePF9OnHZHzr9dlxdoJ4M8d7tmV4Ig/XCRO JL+dgNL+oIWTyY74cen966yvEzDoH7OL/5IjWn6kx3dQE+ByIrtKssgRd4Un Or5VngTjgi+lBk2OaL8hqVWvYBKGh1xep7xzxPC1D+kZ9ychYcvgr08fHDG5 b2Dk67NJeFnFknX56ogyZWZFOzsnYcdrgdzgYUdkNulomK6eArlRo4vX+J1w SV26DOPkFDRs+3SvZ6UT+hW7BUucnwLPow4fNqx2wt2Fd2LUsqYgl+Pg8vK1 TmgmWporWjUFwkLxZ+qVnFDH5clsydAUcGs+O8Y0d0JhCbWIJH0W5EfpXd12 wAlHm89e57RmAT5veXTU3gkvr7zxxMmVBccMO9mLaOR+U7Ybqo6Q9zmnPwHC IU64tNxb+08ei8wvNU+45IR9gh85qydYsEF4RUrgFSe8veWVrehfFviW/np4 PdsJlce92I7cbJhqvcrHXeSEextmMUGYDYtlFz1oqnLCaBkZoRNabNjS0LzI ssMJzyXuZv0h76fBDjc3n/7hhOXeM0uSTrKhajTmQEWPE26fuMP1L4ENuEat RPi3E0rqrtx//jIbrH2umn+fdcKWinsrDj5gQ+Qy71xPcWeMXLyGtWqQDU9z 8PWl9c4ofNXgF2uEDdyqYlMNMs74IWTC8PEEG845NuvKKzpjxN8PK+fm2JBX pjrK3OWMvFMLbpaCFAzgcpH1e53xjE5Dtu8aChQ+D+4113FGz78zxb4SxE/8 u3LpvokzKkwYfJPeSEGDKcfuoy7OpF/Xh4RrUsDX/9WrmOaMJ7qqmZ/I+7/5 0QepX72cUTtn9qLIXuJvc71+7gxwxrt8SStdDIjfG393liPGGb+vqTraZUeB SlxRpUqsM4rfEOFIcKIgTDSmm5bgjN0Xungl3Cjg0FZVfZXqjPplp7S5iV8R unjlW+J1Z5TbdK79awgFyz4LfQwudMasCc3q4jCyf01Ko2OJMwadsOf0iiD3 u3qqYss9Z3Q4/lK/7DiJP98v5eMzZ1TdzpLyS6Dgyc+B2Jp6Z7xVOFJRTvzV /Y1ux240OWOb+tZbA8kU5JZa+xz5QM5/q3PnugsUhN/frS3a44xc96p2NBM/ d5j1UJPzpzMezl+vceEqBZ4a27aO/HLG9nm1WJ0sCixqNkrUjjlj1YGWsydy KdCfyxMsmnLGm7EHjvMQv7hnj/jS89PO+EWLSyMqn+T/xX+U24Izjv/o9NxV SPw8dxLDgMsF9x2SFoovokBYl7t/2xIX9HxrxX52kwKuNzPvuf9zwSXmbS+W lVLwhy+kgSnogvmHTvWLEj87bsJ80i7sgstGA26IEb/742NvSfE6F4xf9t53 gvjhViGnvAvSLvhD3rSo8Q4FTQfaMyI3umDbMo7f54l/rrtsfs5DwQVNnSyN DYm/rvz65rSxkgve7Lj/myJcJq4Tqb7NBeW9bL9dIn483/lp4DoNFyz52Kjx /+8nmbla3kt2uGDXer81twin9D5wHt/tgtEHitOliN+PlVGy/rrXBQMWfjYk EY6kFxu+0HHBK7RNDYOEA29K771l4IIrL/WUqFdQ4P07a3u6iQumfQtNPErY ZfMapWgLF+wM048qI2x96IKs1wEX1JV8dKWNsOFdPnEzexd8fS1rZowwTsQJ aDq7YA2/6915whqqHLxS7i6YLE5v46ikQPFI5PxSugtWBa46TpF16Ycs1qSP C07vbn7RTVh09vDId38XfDtu8egJ4ZU7f/fWB7qgU9lkyDnCi6M9Om6HuuBn tfllloTn6jpbMsJdkGb6Mm0Z4UkOu1cnolxQqTZV8iE535B262OfGBeM5Et/ bUu4O9b4vkWsCz5c0MhnkHy1NzQU70hwwQt2WXVHCL/j3Zsrk+yCk7WD26ZI vl8YPr7En+qC9V80hf7//epRsnoy+yJZN6kMeUvqU7hSIaLxmgu2CBpwh5F6 Kg3az3DnuaDNx+Z/JaTeVY8Tj2oXuOCtoZHmD0QPDV6/j9SWuaDyfJ/lNNGP 6S5R9p9yoqfg3O3TRF9fBAxCNStdsOjvH4vhEhL/k+LgB7UuWODAPFVK9BiY 1jEx/twFd2uqNh4lep315g1SanDB3mqdLE2i52VCPgElLS7ooZxudonoXfHg Jv/cbhf06R9UrSX9UrHHduRHvwtupJ2zlb9Gwe5VZ3zFhlzQr2CyIvEKiefp oM+lcRfcrP340KYMCgJWF9HPLnLFi41tCx0pFMwMf/7ZxOOKK5afFv1N+jfm GY/n4mWu+L7zzJJR0t+pfnTaSUFX5GM63GqPJ/3+XNb1qIwr5u85v2gDmQ87 Llt3VWxyxRernj3oPEbBS/9Y58nNrqh6kdFwlsyTtjU/HQ+pketRhVZNoRRQ h27Yeei44tHcnOf1vhRoiUlbmnm7YsqclWeHNanPmMXHZD9XjH+wPXzUgujx 1UnzNwGuKDR6qeuPKQUOgb2mOuGuuDgip53SpyCqIc9oZ6IrzmBqZxSZp8+C 1+tsuuWKxxR5ZN5Jkf5mj6VK3HXF9hpYlriOArWIZz8EHrjiumQxhT3iFBSf cA+dq3HFhIIW9QuryHmTb9z4+MYV5c3K/L4vpsC1aBNn1LArmjYUWS4ZZsMC 47Lr0Co3vHLSyHaslA1ZSjE8/cJuuLMqivtFERs0A31udYq4YWc519tz+eT5 NaU53Srhhr1FrOqVV9kwOPs1pVbWDZ8ucXtYT55fLYsl6tLU3FDbf0f2b082 5EjmSey2dsOlvh/K9ETYsCJJpWmLjRuq7dXTcRNiw4mpFyHr7NyQy8T8TfAK Nrg1DLxZcHRDqVtBJXHk+SrtvznihYcbauyOlvMYZ0HRw6rPeiFkvWdnCkcj C+6YNqdYprnhxM0z3r0BLKiN+sPh88EN88QycqzvTQF1d3D8VKsbBhnE+cWW ThH/09qT3eaGkxMOz+7cmIICg1vPPnW4oXo1p9rUpSlIEnaKgV43PC/6vm5X 5BTYlNcuCE+64fzRnDXde6dgrD9m/pWQO/rsCT33pXkSpIyWzMnYuiNd416t d+cEqH3e1ypm746zr9Zus26fAF3XmGIBR3e0qHvUge8nwDdk1nrBxR25YnVl xZ9PQMW1kdvfvNzR6+XU+fYCsp/x3vVCmDt28AZMn/An+89lvpy/5I7n5Vf+ tf83DlFrPl9hX3Yn/vtsQAw1DinXBQIZV9zx+tJNwaXk/e9BZZLEt2x3PKpX nry0bxzmOqOOVBa6Y4/cvkXTDeNwXsl9k3+lOw68TRwvvDAOFe/lz35tc0fR lt8KizePQ6rM88I/7e54bReHgJHsOPgdtXsm/tUdC8ba2i+vHQfp9WfYzp3u uKF9W5jBSnK9wz9d+wbc0fK5/05Jxhj4Ls9VG6Hc8eCr/0zi48dA113DjH/W HReFXlTeGDkGUpXNB7f8dUffX9FaXw+NQYfTXE7AgjsO71gaH3FgDHTK7Jey ltAw7PpOn+INYyBptKprToSGG9w9Vv1+PQpzObdm1orTUElfefJj3Sh8mdQW grU0LOZ3+PXhwSikXA3SPylF9q/yqxfIGYW/v1vu8yjQ0DKfTd0IGYX2hMQz K3bS0G7jf9lKMqNw/4dk/tbdNKy2mr2WLDoK55QfPTEHcr3+vfu5Vo7C/o7B ibR9NPTy6VXY+Y8J9zbtd1pjTDgw89TXDiYkN8wrSzrTcG/4ab2JdOJfggZV 1rrS8K679pvgc0xgibdsE3OnoVVyUztfPBOcgrLVVtFpKLJ5MXfcUSZskdil yXuIhplNBWMZjkzoa5DR4gmgYZLgzkUd1kzICOLbwRlEQ9+oyiQVUybMN3zb ORdKQ9mTZ6KUiL9qCYqA8SgavnTPk7aSY8IpCXdkHifrB012OEozQaNRf+9w DA0fvLtUEyXBhBwJkX0/Y2nocOPsYX4BJgQ0Vul2JNOQUV7LS/vLANngHL3P KTSU9Oyo16QY0CERr9+aSsO49h+98hMMwOADhu/SyfkWaz1z/MWAlWtZJs+y aLgxvu3aos8MqG/8blqbQ8NX7i+Ydz4wIDz4pVlNHg0XP3118yjxpz2NaRYV BTS8FS3S6VjPgPTgSMt7RTQsz2FmHX3GAP21NKs7xTT8zsFlevcJA+4Fqxwo LqPhibeFQiGVDPBaK2pTeIeG2w/rBy3cY4BYE4dtfjkNQ63jLYrvMODU2g92 WRU0VCnnVzQnfluj6aH9lSoavgl4EmhWyIDh4FyHjEckn9/3tfjlM8Cy6bBT 6hMaCu6zDJrLYsDiEBvnc3U01I+7xBNE/H3N2j0uSc9oqHFL3pwrkwHSIcvd YutpOG58/tbJiwxoX8t2O9lAQ1XeDIHDFxiQ1PTD/XgTDV9zbGkPP8+AybVl HuHvSL3Prdo4fJYBRU0XPY+00JA7PGCJRRIDHEKO0YM/0DBXbTXVnsCAFes8 vAJaafi4rUEy6v/fL5oMvf3baOjpoVOF8QwIC9nmc7CdhiUjFgOycQxQWCd2 0KuDhpfDb/+Qi2VAV9MiX49vNOyotXprfJoBF0N++7r9oGHPiZG+1FMkX7qR QVZdNDS/HS40c5IB+SJ84bo9NNR6tOH8ccIKI9eOa/XR0P25a7ws4fu1inGK P2l48fdF+eEYBuxIrT27fpCGPy9sLnlP+DnNNE1wiOg/8rvGZ8L66t2ZPMM0 fG86s+Qv4Q9LAnNnRmh49Lur5V5yPbtvHEUjTBpKM8aMign3lF0o6xqj4RPj eAVlEp/PCekHHydouOU1h+xXwmMWD6rrp2joumX34RvkPGGy+589ZNNwpjII z5PzzlNtDaXTNNTMFWjPIvmIf01vzp4l+RW96/uO5GtFFvUp9S+pB7tdax3J b8bhM99O/6PhxBLhE2mJDFi7V6Q3bIGGfx3FwuRJfQqESn4dXOSBocpbnfuT GaA4qDXqxOWBKXlLjzxLYUDFozcsMx4P3NVwZP5ZKgN2nXX8q73EAwMfw46B NAYYKUfzyvN54EAFtly5zIBWzhX/SSz3wPYVi+4qED05fM5Z/d9/HvjXmGbR Q/TmG/lMmi3ogctd+KZqiB4njS3kh1Z5IMwIn+oheo1Y37f1u7AH1m5VmNpc woCEeq7dz8U80H8gtEi9nPTf5fR9FRIe6LQsJYb1gAGXD24wvLnOA3sk2Ie/ PSR6W6Fne07aA5+tbW2UIP2l1PvFOUbWA4OEv7ZGkP6reuDjGbLRA5vE32os NDHglV1SkL2CB75R93GObWWA8WbxcGNFD9S/G/wm9gsD2v7dOg5KHqgwLTJ0 5wcDfuY3n92wzQO33W69dpLMA07myqIJLQ8MHm//qbBA+uHp9bKfOz2wWzSm 7RQPEwTStj34stsDz1bnOi/hZ4LkdutntXs98JfVq5eXRZkAJy9/SzTwQAPb 0909GkxosJLrjTLywKsiA8nFe5hgurH6V4AJuX/AbY48XSa4vP3GOmDhgXy3 R/rW2zIhavW6/6TtPfC412K7gEgmNN9b6gCOJN8KbxzPxTJhnSm7wMnZA9Vq aq7+/3v80/h3Oy67e6CM/44FywImcM5EevH7kut/CGlb1coEy3Sve/L+Hijg d09atosJN5Qt53QPe+CS5zcEQ4eZsP+gfNrJYA+8MblxUQfXKJz59qWWivTA PLnX/XVao9AR9pJ3VTTJj6OwYJ/eKMgJ3bVSOeGBynlveQxtRuGNUfxvv9Me yCNzaP0weT7x16qt7j3rgdE9Cz5H749CWu4F/7dZHsgsW1m0ZvcY9O+MfjiU 44FmI0/dKs3GQK3Dh3PxdQ9USQscyKKNweeVmImFHhhjOn/QIHEMRE6Nvqy8 7YEl/Ud+CX8bgxxPI/G8Og8M25UzVbh/HMY4tnvVPvNAyUjtoe3m44DZ0ve+ vfDATXnP2COO49D7eVZ3daMHtn0KTHoUMg6yesXBSe898P7b67/bCsahRJ7n TWiPB96NXzUUxz8BrRJ7/x7qI/evJT5KdALm/otW9P7pgbfKOH5c3zABphQr xX7IA9+eDCxaChPAevHTas+4BxYX/DK+HjwB6FTfuYTDE8WuXK6X+jEBHSmn J66u98Skz5Vm5+5NAuepp9LpUp5YpvdF93HdJGw+8tfqnIwnNg5UiXS/nYTj jiFVJzZ54u81PEI8g5MgK+dxzHOrJ4Zd/O9vhegUBDzX5lECT7zpeX+W7/gU LGYtEn3u4okzXnrD8xosmCnPTPnp5omhX62e3tRmwcihrdy8Hp4YtNjzxTZT Fnz45TRm6u2JowuPk0Y9WXD1+8NXPwI88eGS+a8zqSxQenkoeCbGE1eDlPH+ fhZIxnAPiZ/2xKObI7ZxMlkgtPuaM8R54jfFAMnrFLlfVZN+fKInXjobvufU Uja8KJVZvyrNE4tVuODTFjbYpH19u/WGJ+7p135UH8gGfbPAvVaFnrgzY9e1 rHA27ORf8jDspidWmliL2MawQTJeLb/2lid2avSHh55nw3DE+XCjCk/8N9m1 7kAZG35obBw9XOWJWxYkJHQfsOH91BOPtEck/j0/2GI1bKg4NGz69Yknfv6l NBLYyIbj7jobvF+R/C+oVLb2sCFw3Y+rSY2e+Jw97vVrkA0e34NX3nntiVeK n9v3Mkh8B/L+spo9sebbSE3cDBsEDf5+PNXuiU6iDyMuraDgpvK94zm/PDHu t/TVWXUKDq+emH342xP9u9DGYwfxM3+Uj3wc8cT+O79WVe0h/udluR/3OMlH q5beGj0KOmzK7XxnPHF+ubBGsw0FOTvHP53+44lv5E1qTztQ4CmpbJY954ny To+zZV0oGP99V+cDBx3ZZfyCG+kU8Ebf3aaxlI7i07OWisEUtLiP3Tbjo+NH +UtbdxyhIF13q/zB5XR0nuq+oxpOgeTKu+uzBOhotUFZYziagkHW6NVKITqq p544dzOGgrKvSsLvV9ORWnpgo8VpCjRv3OHnFKNjDpu7+mACBfNnRs+IS9Bx 5F3nQgfxn/X+Slzq6+iY2tgirX6OAnONO7Pe0nR89OFJesUFCnxe3x5sVqDj /ukXO9uI31W6w3T/pUjH1uazEXeIH2albenk2ErHM7VjNWHZxN863f6kqkrH y9kiXz7mUaC7l2lqok7HhKy3057EX/Nv3PLGazsd0/wbiwdvUJA5Vvbsyk46 Fpzp1Kki/tyljbHzwW5yPu2LR7iLKZCtVnz4Duh4su5a7V7i74ez/bcN7qWj RsFFOEz8f/mpstsL++io1O4tkXSLgjBvhpyoLon3ZnzopTIKdhkrFmzTp+PX YUef1NsUNK0uu0o3puPhWYuCA3cpSPkzsvqEKR0VNLI2S5ZTYN29+UKmOR03 LHdr/kZYrN6P/74lHXW7m4vj7lHQU3zrzFtrOn7qe/9D8j4FRedGOAds6MjR eepMGWH/4M3H5+3oGJ7X1SD3gIJttn6zaxzpOLzw7dElwjM7b4WqONPx5133 Y1OE6yRHxgxd6dhWnbJZu4KCWJ7Nfp7udFxnzzt48v/fi4Z9B6M96LhEOrTx /v+/77wvdb9Mp+Pn4qOM/39Pan8w/KPcm5zP9kbQEOGsTAW7NwfJ+b6VBzMJ 06J9P/X70TFMt2vZT8LytFLTf4fouFTf58A7wk3ZO8onA+iYqZ3jW0LY6+sb gaEgOq4uPLAzkjDPaseQzhA6Svuu69xDuMB8pK31CB3nt857TpP49yUf02g6 SsfT7qxfNwj3NfJl1kaQeh/kOLaf8EmurNn7x+iY+EBK9f//ryQJio7F0XTs W7ZpA43w08gnT7JP0LF7YSO9m+TXpcp43cWTdLSr5l9iQXhu4seJhNN03Ojy ct1DUo9rWw71RsfRUWq1xjMBwjsO/tMOOUNH5UL9BTdSz46CcwU+iXR8t8Vm rOAOBcISd7ytzhF9XxnawkfqX2m757X+eTqKxinkbyH6sL7YorDnAh0PZgwI 6hD9XFg2xpS7RPR28pmqFdGbsu4Js3WX6bjyQ9USQ6LHlpP/3RO6QkenwROS GjeJnme3hs5nkfrsYHmPFlBwS+3Z56kcOlZJM6priL4NA823/86jo/6xvIz/ f0898yvwz6cCOv6bllbtzaWAs/1eTEkZHc+Wi7/bepWC6wLafTl36Jif9ECn NJMCNGndl15O9Nn0/J3YZQqi6ycXn6ig4/k3Onu7LhI93Vc9Z/2Ejqfu7QoZ T6bg8ujLUYM6OpZUXuJZe5YCDQVrc3hGRzONw2sxkYKQ66FCCvV09Az9I+wb R8Ho+corC29JfeOpx6Zknpx7q0PmJR0HVSO4VI5RoLik3Wn4PR073B32LIug 4OBxav3nT3S8yy398nooBT/9txeVfqejzKYdh7z8KPhuUH3/wAjRe1l8h7kt BdpmBXZHmKQetTouh60pKLU+P58+RvL/wkn6lAUFka50w7YpOj69tJCVbET6 7YhAn+UcHVu01OuVgAK7vIMC5su98H5jRv99WTJ/C60fBvznhb+V0g13SFEg dwuczwt4oXOWecWjtSQflatLWlZ7ofHmmSdXhUk+3j5Hk3VeWGii1sRaQvqF Eg003OqF788K+Cz9zYY9c9zCvipe+Plv5FOeATYULRp/nKjqhd+q/P9Xcb0H U52GcQDXSluIUirZRdhkulnqsLo8T7nVrrZCpXS3zu/dJDqI0yFtSHVWkltS VLps6TbIPZFUJAqFpCKp+J17xxFO9u3Pzzwzz7zzzjPzne+drzRf9uk+/LHG noudTvFZj1uVYGjOy3JD+h5Do1Waj5Xgtaq23nktF82Ueq3yi0pozN4/F4K5 uOYntOrzpnmjUVDsGMrFCp5p+1IvJXhulrlwwrg4W+X+TbhaCc2Tyda5AjoP EGcbuCqhJXZdgnE0F0cOtHx4bkvzkbGRqU5ycdDi87CxjhI+zO7Jv53LRX7Q P+FDBTSv89YuNpdzcUBmtPXDsAJ0HTj1k75wscjhfExLvwLMyqZv1+rn4uRA QcoDqQJWPHgf/ekrF8eq7VITuhWQ3hz65OYoBm+6aQ1+fqIAR2X6pkUTGSya tUlRmK6ACE5XuJcNgw99zOs1bBUwUsS7c3gPgx9N4v3dvOXwekyu8EIQgwGv I16UrpFDiZdsRzmPwYa+bSfmrZRDiDRQr38fgzn1Nrv0HeXwySqA8Yti8PWp jo5KYzk0pjJGzicYdLMTKDXfyuBSyObIUbkMZvDkYW1+Mjh0P8Pz53wGybZ6 nudWGWyf0G79WwGDnW/+zG1YL4Pp1ze+DCphsPJeZWyDmwyOv18//919Bj0X CudIrWUQ7rG2s7yJwZS0vZ2NYintQ64uEUoGDwUmNWpFSEHjxYtRISoG93Wf XnowVAoFfL9y/68M2rsIbTUCpWBeFWPvo2awYJ674cSdUhhcV2XtqEXwC0fF 46+QwjUB6g1MJtggWh7DnyKFcY8cW4IXEAzZWtacEyiBcv/aJH8OQdWSnqrN f0kgZMKmNb4OBCvTxnubbJTAu438Go/FBP9LytZtXi6BIraw9Fdngp1bVr0Z P1UCxGDhOYknwUeZdefa74vh0Zb5f/sHE9TOt6xpniUG1zqjXfGhBC/axYrN TMVQ7Tja/1YYQcdWSUmsoRiqprbtVggIGl7e0ZP+gxjuPT8UJIghaH/Qq0za IYJCl5dhwhSC47Y9PMlPFwEnvyL8RhpBr0w7g52JIrhjnsNvSCeo09Wf7HdU BHkjUYJJmQSn/XLdvpwvglvF1lEZlwleFTaqin1EcGVu5OGcQoLDHSR5yFIE M88wcU+LCaqbPP69ZCKCS9oeRySlBG2sdVp2T6P95ePMY3YVBPv6etWetH9l nX8WX/qYoN+8tRVHlCyYTCg93lFLsEpffGCGlIWzBy4ljNQRzNsQVt3ay0KG z/5Ep+cE0w4HHst+R/umoWXKkzaCViWhPjefsjAlRi9V1E7wwDSohhoWUuQD qfpvCJ7Z6TYipX0zqeHpKc8ugjydzfF5ZSwYLC1KD+0muL13qkN1EQuJ1y+c TushWNCiv0OVz0LC0bAz7b0Ek73fdt69Qfv8wI6zapZgxtW6JI9rLMRz3TNN JQTbckbCx15hQeg045yvguB99uuZ1nMsaOfqnI9VEnTmP1ukOMvCUbP+81dU BKHApH5+Bgtx6trsviH6H5x1KfqpLHglGymHqG0kTaPVKSyYzSauusME9zU5 RPRSl3hrfZ5D3SYsOFRNzebBvD3U2reEYgH1ml35RVJq0w3sst5kFqa3nH2q VBOME2u+qktioSeANRnzjaCF34BrKXXe6EVBU6hPc9+UXqV2t201sKceDj14 9zB1VLyBdzj1seKZZsuou53iugapO/3/8C08ycLtVy/sdEboPS2IXn2ZOnKv ZawxtYCT65RCPSWr0moxtdl6lVMw9crBod2R1L4Kq4vzv88Tfy+Pp/580OKZ CXWXVbp+JjXPzGi0HnXEOk5uOTUZ9SWaTWRhBRuj2UD9YKCtoZ3aMLrJ6y21 OqDU4gl1l5H5ZQm1btmpqBLqm7eDVCPf9y/hvb9K/T8/1uoO "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"eP[t], R[t], X[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.417826752390754*^9, 3.417826805127662*^9, 3.417826857140152*^9, 3.417827015289076*^9, 3.417827062193639*^9, {3.417827126162206*^9, 3.417827140956193*^9}, {3.417827262491923*^9, 3.417827268894943*^9}, 3.417827599387275*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzdvQe4FEXQLjyeSM6CiOQMiqCiICooCIgBc1ZEFEHFgIioKCoqJsyoGEAM JCOKiSCggkqWuOScc86nb73VVTWz6+Hs4v99z33+yz7AObM9NdXV1dWV59L2 3Trd2aV9t84d2ldq1bX9A506d3ioUsv7u9Kl9OOCIK1wEBx3cqUAP7sg0H/C P0XxT/TK0S5cwv+lR28Pbse/abiUnsu3t+FfvpTGv2cmPJpRiYwSIPonN5C3 pgSy9NExviP+tuj/fjZBgbjxuYzT/2/LBXxaHuDb8U8Fc8P4aP8Hxx99Jh2M 9kFG4n3/aSYZiZgdBfhtxwY8jyl4NLPzokjQ3jBJix99dBrnNvrosIP8eUFM ZSV4GhGmjP/WPyR3Rs2Nxdvlcu2owG+1+abn8Zg89gP/O+5/5vuL/ffus987 Gen4+/H+++aG0Wj8Uyz+rrb7WjGysS69gpJBLLbRP4l/wt8S/8PX/l95xv/i c22Vy0SXKsPd5G7yt9RoFMTmb/j/0Yz+rz/j/8JqdXad/S2FKgSxIb90zAXK Xcd+7WhP6+F6+FuOrxnE2j/0v/q0TPe8ex5fZ8+6pl0Qq9ggiM1bTxoO3faZ 3BsVhQn39nP9cG/piR++62kzdFTK937mPsO91X+ZO87P9NYHUrw3y33vvse9 Db9Y/ksQu65zECtbN4jNXsO3f5r89j/cH7i9xYCVXwaxj77xqH/0Taq3z3Fz cPs1r6/5EE/1T7/x3tRuz3Zr3Brcfucz6/r6dbr+bk+A6cs9AT5JDmOv2wsY 3bttfNLD6PqsnwX9nwyGP4OycP9LHbbc4++nZ8dK1wpiV96R0u2eyzL8vbd1 9fj/s4rvHZTs0axRfH3hrjbGprGPv/Pof/BVcAwwxjfcc3YIY87aIHZCnSB2 830pwuBJzKt6oAYPTJPhRIIgVqF+uA8+TgnOhpKHS8XD6TfEz+mTkccC53C6 S0+bF1sfwvlnVRArWT2I3fnIscAhvSEoM3HxXEDwcFpeH8ROacq/MZyBKcM5 /avlo0M4T77u5zV+1rHCufi9VZ+HcH78y8N54f1jhdPh2XWvCfMRnGpnBrG2 7cN5DUgZzuMPbHo0hEN8wzuZ1r0tX8vP/Bjr+WoQO+/yIFb9rCB2wdVBrHaT IHZTlyD27rAgNm2Zf2bLlJ65rciRoq/furVj+Mw3P/M0+Pa34BK9Rs+Pvfox PyeNvy0QxEpU89uzXrMgVqxKECtSyd9XtHIQq3RaEBvwLbSIWxgEDf91ZhC7 hmR/w1ZB7LQWQax41SB24slBrO65XuGAtBg9rR0PL+if2JfIf9FNQaz1jX4o KIGnVT49iLV7EKcej2unj/hjXhB7/r0gdvEtftcBLDCs2pAleez2bkFs5KR8 KdFlQaUDVYe22Xl5SJcJs/38iNcu5mtZQWzE70GsQXN/vf4FQeySW4PYNxP8 LdlBbNZqjySWCuTCsLMv4dtuVKS/GOtZRcmHcW1uDmKnnu/vO/1CfOepTlic c1kQe7B3EJu7TkCke3n/2CtBrNbZ4ergdvo9dmZrDwa7VR8BSXLjveD2mxhE Bi82D/dD0pje+fz+xGX8LVPb340hWJVB32elRElIxF/P2nMOWTGCb51z/BrR b62VklhvrA84CesLLpy/Ib9+jSnSpmRlAAh07IFr1yqhad8zIxWu6Dnl3if9 lOZvCGwx6Gdmwu4vBLEqZ/i5YF407np9DHgWewnfNbsyiD3zdhAbOyNTQdDW ir31uV8fZfVHXmQxf52CmLzYb1t8B6I3Jmb5apyBwDwxN5KchkXza4LYqKnG aUcjJ1PTiIgFPKkeT6sVX8v0/IYNAqDAkXAprN9NWeJPRZAI9333R3C1fkcq EpMN911Nut2MFWAhPx9iNF4Y/b79Q5jv1dFHntHSf4VH06lZUL8b9L2nIr7D mJ8nB9fod8NG+/ljvTs9xugViC42JDr2O0jY4WHQLS0lbnP3ufu2FjlcLCTU yx95DOjpLZXdZ670chPXL7+9uF7GJlIWGjnpSr380odeXIEzPv2hiE5h6lK/ CgACYH8tDK7U7/5eFMTObeuhYeqkyxRRcO8ND2LlT/Wiqf8XV+llSChsfuyO byYUUYaBUFNUcVRCK8KxQhMuG5299/M8Rx8S//n+WbDKBNcPf/q7X/8kuFAf BhIDKvZS34El9fKXv/pVAQFG/H65XsaWwUwuvA6zNnLhRADGkLO/zrTRE+cH sZPP81+9+ZmN/m2O3wx45JOvX6GXH3jGYwfiTl5cXAmIowJbCDxFu/Yo0x1A H5pupbFLptl0scNAWmLaFvoQ7H3oUJjESx8er5chDoC8X+/L9LJqE9d2Avsb cb4e70fijgmzL0ucLp45dJSNxsa47DYPqOX1bfXys+94LCCTZ6yw0aSQKWy3 alUuM/2ZPjTTRsNW/GScDblxhufp5npNlW5i5TLRaWJVcQ7+ueASvYyjEqjg 9Jm33oiCMw1zwd+fJ9tobBmc236aNhriAQTBM59/79Ioa2ChIYXmrkuE7Y4/ 3rkJE0749zT/oQ9N86o31wywaUKYY/sRz16g197/0uNO+6+sAieJxuICz5y/ oY1e/vQHf3urGwDCiPLcux4C9JF56200uAcAgPyAb200FHkAwOVPRl6slwf/ 7GFjK81aXUaxe+rNgH3tTzwR5DLHLfSh7x94dENvm+M7Qz0JicfOV+B0JLAa gyN81uoTdSjOJAx99OXgoqhIAR7YLVOXltWhEFwY2qVX0Eav4eDFNWLEstG1 xa04XSfOvyjKNxBU4O6pS09QCEQLN2OGc7t25TY7+rOrwJGCr962tZPNbsx0 /0zCp5kCx1kK4OVOwW46SYde0cHPhBazlQ6FyINOAOJ/+1s5HQqBiRWkQ7t1 lFf8jgvK6e2Qf+ALqE7z1reKTho6G7bd6GlK3qOeLjY7WGdftNp5qc0OLANZ R7u9mV6D6AAedLSV1wdCMwCFsYvmrlP1nIUEZkZG/0lR4QHcsGunL28Z5fBS NfxXs1YbzbDZ8DDijFZ67fLbPVQ6g8ulPLVfWrqWf5267zRV7Hiz4xSm387T a5/96CGTvVExkX2J8S/Ua8+J/+WJ14IKeg0iFPfS0tlRhGMUZx7mOilmQ6F6 QuUktftfIEm4nZTypD64w92x9vhDZWxS0HAAmX47N7o2EI9g9ZkrK0WRAH/Q 1811KGxEsBO+m7/BSAAlBtxIU2yh13DkQMEhZcfGYS/AM0FCxo4nUk14XT3I pFMLwwG9XK8jaS4tc86CNaHCgyMGVKID91y9BuMQx+k3E4LKem3kJL8Y9NQL onoB+BMmwqSY0QE7EKxLp5adNCpcSA4ZSPpZfW65gpw4v3zqk/uAPiQnK4xb Mj2cHCQunkCb/hy9hsMTpKfNX1WvQZ3ANWKf8/Xa3T39NbKgqyQSi+CZ4B07 w3M+pPq89TY5OD0ghkiltXPorkcNZIXUZ/YTfWhmjYeu+DGcGVRGsS+bRPcG 2BLCedZqmxytIvMVqTjNokTAapKOb+NwasHEoTPO5C6kFZQPv7dsKO1cfvrA ESFI6O+YHD2mYuqTm00fmhy7Im3PQcrDZKffztZr+B0YfzUuqB6V6dhcpEuf F92boDuIMHNlNR364gce4w+/DprqNZI1etBUiy4bJksr2lRBTop5kLCS/1mV bHIaxqZZPdhjwzOqonrwTUjnOd8r8Y31GowbEK7z40ENvQaxgWsku0yUwk0s h51RAAoV3EdNrwjH/TLFU+WSW0N4t9xvrjwbB6YHRUnNqpT6gtGf3fmPFMCJ HS7YDfd4iUy/NYqeSlgE6HszVtTUoTDxcIk465wo6wC7B3sHNk7VasLunCg3 wiMCITtxfo3omsFIpbPRRFj/L8wur3xMk4MrZ9hFO9uGk4PNDlAk1holKs60 AWolHmv0v21J6C1YH5wUs1bb5GBeQ2YQ3YwIj/f1t5O9byDvf9oL4vGzQpDY +aoYzFl7bJMb09w1/+O0vWeGk1MfLzHVWVFRD0YjtaR2VG3BspEV0USvwZyV LVk7yqTAmLRB27o4sETlsXEwVDHunidCeDgA8Vx6fpVjmtbH7Vy75ScePCmc 1vcTjZhnKuFg1oF7cLRMXlwnupSYBR2AtiVJSvDt9z0V2Lg3PvXXSL41jjLk WRd57psUs6EwCbAd6GsD+fZgfztxU9Vkk8uKTs71dD0PpedkpM+NrTM5AnUU SJOtfaZeg4WGJ7wyIKir16CUQ47QU21jkrQ0Bpq9xobCNjytRWQP07UeL3mQ b30eglQ2p01rICEhQQPQYt76Y5xff/qQsCw3YfE/tn6gHtiLfjtDHwKXAEQz Dtr5G07WoTieJCpgHAx9FhxHnGTj9OyOcjqUfYyj8TYOcgtaLHG/0QGeWohU 4uRqxza5H+kjh7dNDkx4wdWRyYnuCIlAC3ZK4oLSLGyRab/wtW7Ph+OwoDjg yXAzZsdhDmMVzP7XQhsKzQ6PIf4xkHCci+pd/dgmJ4f3ta+t+cAmd9WdXlDQ b6frNeJINTnq6TU4QsDBDz0XNFSkIRSg2YLUs9fYUDiSanlp0lCv0VwZJNmy Nk61Pdr0DaNMg+MC7rV5649xfjvpQ/NDkNLmB3c6BBcR+DR9COaCh3ib8VQd il/F43J6VAhhrTHNH/+yoaoekz1gLDF8jKfQzfcFNg4CB3uDGPaMRJCwE8ZM r3FsU6Q/+7JzsuPsOGWI0dNkinTt0nZ+WUZNDepHTywIF6KxLXXvfv5e+t/G QSXDREjSGh0gwDSYM325DYWWJ/xpIOHJF5A1j3lyW4odLr64wsFKWYlMQuKr QaJsJm3LruHQEs+HrTN8LKHlxUPTsJ0NVbjMMVOyeg0QVG2JDBsgiGW1GeZv OPZZDbneXb+w4oEqNqtx//iHkJpbPyrnsf29ULaVxE5q7aNBNhRqJBxHULwn zrehJGR4OiTebTrINsCiky1j4yAywRwde8g44UroepDY42fVSjbFfyXpvfCI e+RAZk7WcfNjG0L9GYhi95FiZDwDiQMhTjqzLcQd3T1GpBraOOxc0c9sHMI+ uEYsb8T4c4E/HxGqm7XahmLRTz4vQreIkkrbt3aSGUrCAX/Rjz4kV074Y/Ec W0EEZ6E80W8m0OC3BHiSkSYVEHQSzdOkAhzxWCdSJ20c6I9ZXN0xRBd6CShF x56N6/WGBcMNHjxHGHfxLab+pL5w7jv60Ow4t8WmB/nbzAc8TlFCq6nmNVnD CKIBTydZUE+Hzljh7RWIi2nL7BSA40wyHYxoemrSxGycbmb6zkCqGxMY/L3o P8xzBn3E+xzEHX91zonMU/RkMC0xmx26wLpEtfhxMGexjCSibNxrgzzmZMQb 3SCGIOxbXItlPjPKQVBUoiBVIJEQqnvsM4z4nsMZwi8imJvOhOwXCAXSl8+K zgaYT5gdjkM2AsYRDBsH3REokop6clR7UXn0xzwbCisW5ywtt4HUPUIgT042 w9zytNPNmsXNJmjUw0FCtK5iBb8WjDnvXzGssFskYmZDVYZ4Hdv0SLhim/uo punTRDO+/d1hob5JoNT4NZBQjkAPaHWz1/y3uc6vcqA6vNHxc1WNniZSN5EX SQkxrKB8QDOmjWnjwHAiUszUgY4KfZToZSYRgsbiB7Zx0M3Eh1UnemzgVAR/ j5p6yn+apTqm42dJVqqew3USmefeJ0NrFYGbet6rZdaqeo8IUxun5zoJ5NqK Pcx9iCiIqunLbSh+lRQGA6nmPmk39f7TLD/s4DrAUx0/S6Xpc++GWGGHQd4g OWT2GsMKxh02I4nhWjoUviMoJvBRzd9gQyErxcKwCUD2QqrR4WMWPFIZZIOa DwNHLKx6sv5P/U8TdU+7p+G3zpq9YHU4UTAjHk/bx1DC+YZTnzQBQ0n1PTIU auos4TBSJ/Pvc80DA7vsHB+pNU+NWv10BNs4jaDQfjGQOKCgHcD/Onlx0onm s4k+/rhzp5ziXMGCzuUvctAFIy6rMnrJFBO3ACiWsCEVOeIMKYhM6Kakg9k4 aNMS8zLHGDYnloNoUCNx1b39ck4iL5EsNJAQwdjHn/9kakWSSfbr5zi8WaCA c02aOJeVfcQFx+W8fWOvWblZxIYUWR+MlD/lDH+Y+419SNW8oJqERtvYvJvq wiFEqyeuOyKJv82xoTUbe/smClJlInF8g2Tz9MUjmZnOnXeecxs3+jGzdi0l 5eDLnOOOc+369NkZci4i6OKwMMyg1zZq4zdPBDMNZpOCXU2HIiQEpRqu5Lnr bCic/2JPV48uFtafdEVzesMDgGOEBK2BRLIangxLYc7aPOarCd5HjvjCmEqV nNu+3UnFkzvgDuQcdyhzden6q47QtC/4+ONtYUYc8nLKnRJPZUKWqUwGmCGo Mpk2blVFEFEhWNK4f/wsCzlgLeU4rZq4OUku2Dj1P9AhFQcSJAQpR0877ehz bubnnKgcpZs6TxLq2289PYYOdXItA6L5mxbjnziUnu4mNmhw0OgAowrIEAIW dcDZBGFGMtU7dDMLTl+wvNknK79BgvNDj2x8quqoJZMDi+rDtJPwgE0caVe4 RvQ7P3oNSQEkLKvoxKEL43TFRpq33mikm51kioFE3hyu9RtiFlMuBGoaL7rZ zsn0HPEvjbJFC7kaZOFXnNKjzt7d9MEePXZBSJw/aNC2dH26+kTItrVVg5iF eg1dd+pSCcWUH7d4BnIGc45zxxH5kU2Rfig9J73PnVvu4xGWjACPg+x0C9Qh CxZ06/RYGKhTJho5ScaJvYAIEA6NP+bZUHhjru0UDxLCAyDvfMTsrBTpxswT LaZ0P/wQ1qBlyD671l0bq3ygWv6ZMzetOuGEI3+cdtrBwMimmejDRocLqcEz 2lOeZoVQOrC52OHiOFiXV3QV3fv0GUyf4fS52929N7/LD0pOOXlffZxHlq2C UE9FLyIqKWngzoBiCPkxe43ntOzGQ1b8+N5129t9etmOq+GBmdhgb8N7nlj/ QtXRSycHlnQCKS+WWeXoI8RoEVhwAlz51uqBo5rsaTao7Y5rAWtomx2Xn/rt snHhroBgFdejoaZpMThhDLWiUxYuHnjF9usnNNzTGLGev+vta3Bn7/V9C85Y uFwSElNesdzK9zJyuebHZblurtvefDmcVtylZ0/m+jOHD99qyfKaVE5nmoWd I2aTX76Mh7pveApLN7eOq+Pmurmy39wR+vRz/ZBTs7rMobINvl42NiidqDbQ clWMikEcPFi+X2f6Jcgu+deiBe9fu/0WbCgwwcryrvz2oq7orkKuEGllvMF+ O31vo1J/LorxHcYd2Bw3+IoMy2HQlMoHe8uMshDtBUu4wH/Wl3FlDma6TAE9 pvGec9mqjgOt0dqJ80PsNc0MsYfxszz2WbS6Sz64ZvvNIDMAgk54gkBHvufn l+68ihc7fzK5n4tGGpX8uS7xm/ShRx0/adH8wtOmbdqTL19O/2uv3WdLjKNa rAmTLvEGo88OyHit3da7AOnPRq6R2+P25BPumuVmLavkKm0perj4mcOX/3K8 AlZL9LVBIfWRaSLmpRwtZw1b/tOqEw6deCjDcRmfG+vGaumo+9X9Oq+2q32Y aIYxNPbncAkgOut6TayCIg5+hd7p0x/8viuC+o+vLtx5MZBfd4I7wb1FnwX0 OUwf/FlJn1fdq1uLu+IYQzbpZYhvGavCoyVY20w03EjarJ9J4Ro/L/1ze6Ej RQBiGAlF1EXxFsCfffShmY1r5prh+7WlD5XB+CC1jP6ERc1239JHK0kIwIdX X71vV4ECOQVnzNgUVrrA+Oj8eIT9xaINHW9Ct3M/W/HdgSyXxaJ3t9tdQFZ2 mVsGVj1Mp9eFA1Z9USpq7YDJiQaW84QQtyRcCBvd9fT6V7BnAcJNcVOyBepU N3VpZVcZjv6L3l81xKisGczEfJZ3hhMW2imYUXN6MrGeH121/UZQYH4tV8tt cpv8CU4ss9FtnHaaOw3ffdly5yXIJg6MJSFfMPMr7wgR14P9gWcUcYTHwM1b SrgS7mX3siL+vHt+4/HueHzVZPCKkdn/bemm04eQu+Kt1Vx5dPaQIdsgdm9+ 6aWd4dLBRr+6Y7zk0uTJp99Sfi89cdG8DaVd6QU1XA233W0vJIj+4H6As3pR xQOVC01fuMzWDaGr031GmqXrRTM1Z6+Rk+q0r5ePgXjFX+S15hfAW9yWqae7 0w9m5GRe8fbqgUZXNWtJ29MkKVZDJPogUHFu6roh/UvZ7HX3OqTiyGa7L4RV bVCBVula8ehqGmF0g2ec8t2yCTuKuCJMh8VusaK71C2N1XQ1dxY8UgiiI7Wa j38tWNTvSACOmz9/45rSpY98deGF+8MFg7EqqTQmjJC5AG5Dxcn8DcJw352/ q9X+bJcNsRkUkQdNcBNQqDbgyu03BLZacMWJuWX5oPFHTKWQDVad5E5aUcFV cOvcuoIy/Z1u58xT3anYg7c/t+51AwzDE4DpAZaHqafxw31U8+nRdWNPzPvZ x93jQSFB9AP3AcANunzHteGuwhELf0wU0fjMSEEUZ9DKsofKAVm33C1XRAnn RdVctY0lDpes+dPSSZnHtk7+8Cugmbt8M/199bbb9h4gM7jolCmb/DVoZHXP teUBGaBCo+DrzwWyPLe8uJajIe4N94b0A0h3T9CHrl3fd01/K42OWoblEnme tF6ZMs6RcWfuabKngCuAnVRYUJ7j5uzL5/LRqVYW+p+tDZRW4aMTFVFknmK9 EPNRnk+/rc+6NyGzv7rSXWl89DR9CNGOz6x/JeQjRXT4mBBRkAJLNnRUFFEo sozoDDdDEV3kFkEzR+ZwgZkLV2T8p7WZW+1ATUhjXZtzPv+chd41r7++w19D TdEJdUwoo1IHZ8Gg73U7lfh70QJI30mNXWOcqsUEPp3huAQcoQBq9TmrMGKU mkquSRdk9AqT9+68uSsv9yfuk6CoUPFP9yckHJfQGRWBIIQRnX2We45nwCMG NX/yYiFk2d8Xz8ZmZtm5zW0rEiL6QxvXBoIZ8qpkIqI9XgoR1Uhez1cTdyPX eSuipFDgSZPq7z0j+E8LU/Cn1q715FP2NdCFSZ87dyM0xMmnnHLIX8OpDFRo t5wU5SjJEZTT6Z0btt3GGhykWglBb56bBzpC5IfbBhobFJCYGsIZXr8CgyMQ PH+DMDh0G8zuo9vd7UFxAfkCfYgK7Z9f90YIUh1uQ34JQUJFwRmBs2LE70JE WFeMJZmVgTLQZrd5XalDpafW3Xdq9qwFqw0qAq4tr49HFOcctg3y3g3RuiOX /Q6JPvQ6d50iOvFsdzYQxS41Y/iYlibd3eXuSqiCzlpVpsyRPfnz5/il0cyI UVNN7MaHZSqECIKSqC8LSgn0R9wjkOSsUtumgVILdyRpiWUSmRx+ySlLhMmh gsEYX13OlYPmUVwwz3E5v57vzt9R6EjhE39bPMsAqx1JK2/uD4TuJENM1ufK t9YMZCbv4/oYF5GqC0RxboZLDr+hVBAaovAZweLzJR+CaMac2Nr5VQ5U21TK lYJuqIjucrtmneJOwcoXmbpwSYoFeolLFClZ0yW6o3fvnRBtdUeO3BqGZQb/ fGIiZ0KYjJoq++f7ZrtabivmikHZsCUiHNeXPHT8hIZ7G4dLpMGfX6aIKS0g 4XmMY/b7Ht/AyLnP3edBSQFJyhH0bj6/jZhY8fN8CZwp48jEjFfnsTmWVHFV oFK4Q+6QgITSAe0NdWwhlhEfp2EJ5RuOD/g4f/pbsIRpzFgSPxqWZCwA5Cvt t9wd/MeVGeiYk+As0pWpNHbsFqzMPU88sSvkyLc+N6mrFQBkEciy3NtzQx/G juSO9CxKd+/Rh67BdgmK670IWkjKi9FQY6kET2YLVwaszJ9buVbSvyndPeoe BYOf8eXyUSEBI45xq0D76W/PNd57JCAffnhjL0ZxlBtlnENSeE++nPzDW++8 LAQJv5jkEBmKGpN5Z6iiiN2Acxa7Q1DMRBnK/qycLHb7YhSulk2+CFL4d/aQ FT+IEMxcetJJh79s2XK/z7cQv4P531TTuaKDJoHDcc2yi05SWYEMd9AdXFL+ YEWIbNgUxfR2GLdg5us6h8qpnlW33K8erLdu2tqBT4G5bq7MkHVlqJ/QgACy eCIjE7uU0nVAXBVCBsLmtzlCN6TPwAb5tq1ra6zyDH2IAGcOjwpZBO1RKka/ mXahRui9TyqWfTpuuQ+bwE1z03QdoCjDmBlxwa7Wua5DXBggWswg1B988cX7 4aP15wdsEzrC7XRDRgEMT7izpyyRLYAmE8xfL7oXpWYu3Q2iD11r03/V4HAL wF6t7D3zVhuK8FBYByikwm08tY6uo+zldC2HvfTd1Z+GIFHNIvFjA4lFxvmL CMXgn6uEYoStqoVuoVGf5CfWFC79kPrIapKTI646FsRAcM+KZir+umQ6VHSk cwuW7AIAljD/QfwU9gDxLe7o+siGp3UVOvfqxZ7WKqNHb/EZcGQ32LGo/mZT zdPBlJC84HtbggPuAPbAn6fuPT2kl1pxP0+WCUdMRkiTcf8Ivf6pub8O+1Nj LmZLQEIdflAGafSCAYdU+FjY2ckEJW3dKqGKwUvazXUzFPvSh6YO71KIoiot ZBwbilAx8Bzo0X8tFJCDL95xJRsjq9wqo/8et2dN6UMncE+GvOnvfdDp0ES4 R0ioRWXiaDaXC1vudB6bW1FrEB7srfRHdIK3wNvu7eBEmRwiFCrbTACpiH3m 7aB4lF9BQKzpwBEyOahdTP+erqfs4HT3Ln0IJAJtIb2gkknQzK6hQgXgCKwE VWCr7CzsCkObNfrvdXuh3/zSZHez8F60mxAvkqGIaD0UAOgP3/0hKOI8YhTJ +jUUX6cPSrnJRMrrABDix5l9QnxYGHBVvnXTTXvVJA91hN/n+tgvggBz1wn9 xzbacy4rmsTzRn+aHBxxXBxjk8NeEuPC1gQNACSdVogFjz47JXe73TYzggdh 8eN5u5uH8DQVl0znYooiYkTYS8iemrlSiFVvxLLx4P/eWE9BsdvL7mVz0hpI CNhEFJEXJ1GWCIrw7OFcMhRJnm0qfrjE11e4K1Ig/ugWrgVvZXkIsB/bqNHB v0499aDa28dHmRTSzyc6Cd1xbDHf00YOThIkaIMfTsth7ggngEwbaCZz1wVF 9RrCRGBSOhZkUhAE5lspJ/Budqz/tX1n9SchPM3Rfug5gSf5mTAeccCPnSEg v22+qzW77aEeKGsQzeAMYiW3eJTG0DyJ1w1FtCKSU1fgnffpihH/QpG0H1Ok T0hKd3ebu21F2YMnReie2bd9+717yaxOn/uoJFqRVLbDX5New6jjNy12XbS5 pCuJJTfK054DGtgNIaU0oNK7X9ikA3qiHrozV8rMwNjQ67jXmc5sqVsKC/3z S3ZcFVIKe6+JT8orHNXdwfRYlCG/CEjk1LKEeNY9a1h2cV3g4oAXJMRSm8IN +DbEErY0wEEVmr9BQP507u4L1pYluR7F8gf6gP5orZcC/R9zj2FSnKot9L/l xRfFKOv+rdrMof2jVdG0LYX+dUYu9cdZL9crqODhTm/gGiyqcKAywzUWgsEt 5axGLPg+sc29fhghlpkS5T1IuDagz8FJHxILaSiS5144qqcDbTILqiWsJySE En+RWwS0e96/qUcID/nw4HzSgA1FCDFsJLhoZ6zIDcWzkhOajkMMh/tZCV3z p5/Yxmr3QseZlvFUIspFYYW20BqhXY7vI4ojtFYFM/50hdiUiHrBKEj4S2E1 DB8jtIE1bdtHaO0m0odAwhMegtTKPLKJCuk19RLe3VNpbYIQOrCgOPYCdwG0 JWYHg4eEa2n6aChCuwE7gN6jp+WGYgq0/po+hAGH0IXWafPmbdydP3/Oa+2u WO8xfuPTUEeLFIwLoYtNXrgIhH7/TndnUFHg0hGIlOP+1267NZyF1rgQdQpE Twg0tgHM1wbJLHC0sQTA1hSQc6rtrwmNNf6Iw7I38o08DCRMM220Mm+9gPyh 6e4WzNcgjLLDp/Sh2UM6hyAjDQENJEwYPAaazJe/CkgQjbF8zj0XNEpO60n0 oae1/GjVcHGrZvxJh+bYRg33qVvWhKVKsVsfUFX4yS6buvPTYF5W8iA/ucXd Am2Fk0ZNdqB2FmbHHd1lAhGnWI+XNC8NZwEfcTvcDls2US0QLQkJogFUkmf5 lSBwQGFvgChWgF7/m2W/Ji4bVGtTqOJkB5Ix6BDPn7jlIPbe/zI3LFOgMUkq TKDdC+veUhojK2FL0aI5XpXo2MM0LshT2KReWAk3I2ECHjPWhioLVHE4cGzV 5gDlG3Mg3tBou5WSktiuHmpwTBOy2XXZ3Aa3AYfZC3du6RLCw7KBpGdfIvAy fEI5eA5O4ylLBCRIyUo5lBMFebe7e0++I/k538NAokAIK0d6ZnaUlRE59BtO QCJywFg+5Z4KGicnM21vEAROIiWz5vmc8EedK5FEYUhoCvVX45SV731C3F+0 I4zGh91huKWRUBFOQDMkHu8bTkAL8iA15m+QCUDVgJuEaSIgERZZetLBCvGi FB4W3D5mulR7iM4A5sB3fy6oHh7WTJMn3ZOG5e/0Icxv6Lv2vRAk7HxgSbaO gQSHw2vhsZd6xSEX77zCsMyDzD7pIB2NKN+4ZeudUVW7+cCB230SYeMXkMNg u16jFXTMC5nhTEf8E4k1QVUP8vX73f1wucWrBtrThWjiVzPTC2b1NILVSQcX wsBdB0fXi91d96CKEOZj+mg9lO0wZGGCrj5SnaGXkW4OAYUCBOtw8EnbHddw bAuuaiV3jstBhhczhclGJPyCob4YGxhIHIawuCEzr+0kIKuNWvo39JbnH3WP BmcnJffs6vtr8ZMi5C77+++bvXO3Wn/wjamZWnILp+m89ULxtv1Wf8KMPcwN U4q7cfShawhChJRBegRwhQCZImGCTJ+GoK3DUJxC573M5b3rtrVjdWatW2tE JzYyOVJcD0FV+6EzwLihq1yeoP2XQKa/FwlYuNfZadnVdTWMSddGWllElhTw 3RygbsDJhQUEWFyDJxOqCTTdNz+rmaB8rXfrU6D8qAvdhX/X22eVo/h3a5Ei Oe/cUGuSR/q3OYWiGoMGOkZPEx0TsXDOUzjkDtk8SKTA9v7s0h1XC3nyhTIR ex1RcZinOHLwlPufFvzhUDedppoH9/0l7hIwY0QBye+x0cMVTAlXAX4GSGwf sgsF5ts3bbsdkXXuLK0o/kofYo5e925+OERRc2cAByEyoIufkRz+/UQBB/XY UGwSIXG6JR4T/Hau3bJyB8tHCfv76acfHN+wxkYP86txpqA+/ZYV61QNNRzm Z9ILguohSBzoCOwLylnedQRdDPdjYcC8w8dIecxjD256zFQXoab7iD4EGuej aJeZviANawv/DWxF2uICA02SMV3EDAwGLTCaRnCBUAlFBc4yOHLRHgF5GNgP 89YLmOc7br6fLTA4dJskZUz3sHsYga0o/aBPbCxR9KD6VjSV1gqnW9+oCj5c BRqvN/oh95gmfs7nK77XQo78MxeshHI68mJ3sY0jJQGYPnHfpke0bsCwJzVH xw261d0KtwTiaAoPKjmUGA4dn5N8lq/Sh1DCbTrLBx59lI/zUn8WagBnl6nC WsThq6iFUU4av3gmeBvHS1BDoG5322EwI+KgiFnwEL3dZRxi2lbIdm4uE1B4 v7hfLEB2XgJnzXQzU5no5+5z029lom369+cDtcngEzvAS24qs5YwvD1YlxNl CiwsV7gVQU0PEmFpeL15hBQVofcYhNGE89x5Ou4xMhKwdGzVyiyRfMHYT3fT bZb73X4ocuxcPjcX9jg3+SzH0Idm2fTTld/qLKuNGiUGdK03sbU0JZhPBsgq 0sSrhU9DWHv4Ne6aoJaA7OP6AFNEo3SWyEHgtfzR/aizRFTJ9O9zQnhwi/54 kbtI4eFneHGjVLv/sQ3PGm+kMMs59NE4lGgtGXPnbjyYkeGe7VR/jKXV2OZF YhZUDoQEJi+W2SKniZ9Kx7TNVnIpb3p57TvakgjKFPIAOQmU1BKdMP2IyAGH RGUidz+5/kUG+Zv7zUDKFsNG0bI9WG1IOh/f1DUNzks+YTpLAQLlBVJnlbGg UqXDw1ufukyj4po7yokaODbITqsWrw3+dZY7K6gtII+4I1C6+YQUrKDaMvZf ua90HGJVOElZk5Z6yYy5C9YiP/uPJq6JwZtFH+38LvDgGGF4tH1TmSUd4P5E 3PSwzvL7Zs0O/FOz8h7tYmAVdWg8jUt0jotuii4thn0dD/LTm93NCFjwCOlq hJnMqrG/9uyT3cmggk5AHESwh3Silro30o20idKyI0zG2SNnhwReWN1Vn3KG O0OKKHKdqE/7TYfLHSHj6NHyUocOe+DPTZtXpi5cy5n6JaIrULyQZTt9ucwV cWrkoQJ/navGj6r/svQvrUHu1n3DUzyBgW6gjSNmwobmV1NEaDKnrqv7Tz1X DxPUoaRgoJyAX3cgIK97dc37Rubkc40L2MhcOz7zDPtOK/56XhfsS1PltVgD GtCoqTJXi5V96D4M6gpi8+ijWVuCmMX197l9Og5Ph/uHRzRK0NQHu8EGT04H uDG06xNoMrPW/rooFwCdk88V3cfMTyVyqemnn3JeYvOBt3xlYUpN3+L6NWnZ IVo5QsvsrkZkSrGjFQHPcNpbowSqwIF4sozr7DojOsn6mYzD8bq4qqvK2rHC Q3UC3dul54bndZwF5ZG22CzpVBFkga8yOtXy48axwXTX093XexOHRK6lM2tH ubse1akiJdxUzFM8XOQ6oPSLR0gHgt9P33sWhCWTRKc6hD50L2DouPMHrWSP JtJpFB6cAMZ+Mg4N4iC+mCQpTPVB9yC0rMhUCyBje192dg52rY+KSGyJtymm iSDrvPUyU7htOBcLnnXBDAuHbcg1RmcmzACv7dFxq+hD16A/6QyMScDqp4SC GgKdBbXAgxpg8M5PPlPJReDkMxFAc6pVO/Q18tLZ4mtyqb16Ab0+kSUWs3JX 2NzYgGxz1xOQ4vnko/rM0GDj4CuwrxeuEx+kGCFtTcxHDv5QeGI71P5h6R8K D9Foi/BEZ8mT1LmR9MCNqKWUuWWNuOACOlxqSloqzDnUqX73R60Eu3udW2fP J56BZjvq7D1NFc+4IOSpMu4Wd4sdPDIuzg+t8MRryfnVMg6BUNvaFyRftW/o o0FhSXRHdHC3ZnVKNwjEzzCd9+5ydwX1/b0oeiPJ4uNWUso5+uw953FNE8ip 05E0cNQ86jhdnh5IrRR4mPLHl2+/LgoPfhX244L5U5iOBCXZV56patWTbJGc +Ntvm3U6MIhY3MMgkse7B9wD0KChoGhFLxJrmJqkhtk4EnK49hRsb0ETtSKc 0onVkXHfXeouNWkk8CyQB99g8+TTIWsTj7r1hbVv63Raffgh2x3IWdfmDkiS g4hAmVfQQO4dSh8N0cjjEc7kTIM9bo9NhwQjJBQ7DE9PYCKsjsJ71j0L1FEe oOPgl7Q0jxSmI8lH3PlVplP9l1/YwEBIVKfTrftGr3gg10wfv4Q+yutSkI6s FR73knspOM2Pg11lLqHTwtWx4JbCG+V4ihd8vFJbj1nW0HOPuceCFkefjq80 TMdWRsJ+RLaTbj5745E0Wt8uXXarCwL6OkQMvFXB6f5enMgfXr3dvzSmQYim bXGZjuvuusORwJGaBuHqQPjz3tFxUhXEnvXTwoODvcbwjCafDnJ7IbX8eexB rChb9sigyy/fx7+JA+mO3uvYJGkx2o3W6cAuM2u2fi5oyjj3BX3oXk7XkOn8 fM7u87E6hbHFZRy0A5PoAg+6teW0XJh0OtpbPpxO2oSGDQ/WDJVu6MAoHwvO EORoU0IowPDUhyK1kevuIsgpK/Ir3mTczS+tfQfXuDpA4MEQNjWnfijP+DDf 6ramMInfztjbiBMsImsy8Ior9lnSpOgImql+LRzIOh2J0TKtpeeKhh4fR4pE Qz8OOrqtu4wb3Xh3U85fhNdY4dGJAnjFJy9aqOM0cvckifigZdLpuMvd5TNq 7z85Op0n7rtvN3YMdo5OB3onbE62UPTxctixjXhqAjW3u+06HejRVkJSL1QW LeIq4xyxL7MxXhMo8Cx9B/BSmE4H1wFGfHQ6SOKDPEPmgeo2yKBj2dXf9bfH k1qOXAv21wiaGvPrhWjamX7cy91cNwgAPpXqJTAlgpsKjxgKz2DDLGHaPXu7 3kGr5NOJOi0z9QAczBbIRe+/v12nYypTqEBmuk2bnPvoI+fefNO5KVOc27HD ck5RD2RMLE2rsLmhP7CHU6aqajn3LTglnmF5Cj4vgdU9nDxReDCojSQpTJVO DDwKJWQ6VegHmCrSYdX5AbWIqQptyhtAGW7/fucefNC5okWdO+44UiLwurl0 /OgupC29YIE1Z+rf0XWE/4OBnRx/yLAYqyfU27DBoU2K++IL51580bnJk8OM 3fn0oQfAnaCzNT7FbBXG0qXO/fmnc++/79y4cc4dPmwwoIrAaxHFQ8UzHIxB 6+QU+7cKnA5DBm6Hl2+/fY9SDPaSWSveE1DMff21c+XLO+50lD+/cw884Nwr r3hmwf/VqjmXjx6UQfg++yyjzkXxgW8DKRgjA5e1DZxnasphpldfzbeju0kA ZQMdo+6/H29V8XMQtRtKn87eUg7AVwprzx567FvOVa6ssNJdsWLOnUaH7MyZ Ycst6TnNls7JCSoGpn2yMMo//zjXipiRpJt74QUXzRVjGitpRQdnc1R8VHOr VZO6BPpNooS1flw6EZzzDDJga8uqHzzo3N13e9Ji3mPGqEssm5stXXut/w7k H7ntDzwHtfPaow6mEGD2wVtp68pyLV/uXLly/r7SpT1927Vz7rvv/PI89ph/ ln4/bx6TGf4S5F0ISSwFA8LUc0Jxl5Pj9w4aeuH22jSP5s0906LZ16OPOnfm mf479Izq29cvoZxlHCaum2DhQb/wqGcxKiee6KynVtWqDtyXR5qeLsJv9NHj IEsXtdmB6XXqHIouAgyU3QVdQU4PqyWLMGeOc/Xr+6c+8ggx3CEX5Jfvbr/d X2983kEXHE7nxPu6uajPdWT8sGHOFSni9wOYZ+9eTZ/IZuo98YQneuHCzo0e 7VBvy1ZG3VxOZIW5ZYtfROAByo8dGzLJrFnOXXGF/+6GG5ybcygGOkChUZgw Gzj7FwnKChN7GhIQzH3ppc5to3PixORkFt8b/K1KZqRebytSxNubkWoHhExe fdA9KGTOYH4GaSBpP/7YaXuB115j7Hfn7/YWKtbr5KLM15GhvXr5iZ5zjoO8 zC9cs2aNc6ee6ml+67gBqgQKJLzL1rQM3XeQtnXqeCbFnqB9KHPM4mWi/c54 Vq6SczDjcPZzd21+QMAhiRAkQD52HGIY3pCO88WL3UnJCSlefQQNlJBdH3mE Ld3ikydvUkJa9Hi1Wy3RlgyslTvrLC+L+/VzWq5NciTnuLScWOXv71ZDOc6G qC23Q3wDI7A2sXrBCJdhPxcsfsAFi6qxS6F2LlypYObPd65sWeeKF3du/Hhb zjZtGPrmYg99AP2uTui1MtNVIdxzj0ekQwfnDhxw5ZNTTaIEHBwVqt3wyius sV04YMB2LbGIixor1egJrmlT57LJnB0xwhWVyzg1Sp2yNue4E9cW/3vKhlq5 WCvq/YdsAFJEwEDrsMFIRYrRWV1udfvnV/WrnYsmqvy/ZIlzJ53kiTZ3ri3b bbc59AxcWfbnW5XeCBJjnl2RKq9P79HDP71rVydZdrmSym+K9O2FjxSxShU5 8FEfDxCvtG+/V0mFGJC5UjS6ddddnp0HD3ZWK91zKp1yaUfev+YO638J+4y1 QFhDGvG65BKPJnGjdTy4484cXJvY4KGf9d44zVApBJYqWdLxS/FIsOkSkQx1 pWpvJO1lZdGpM9cKBOik5qtSCH362NOxj5PTCWkS5rXKVPaZyKrk4/ffv1tr N8uNX/wP8EXllNHp3Xf90+jYkwLjDH8Q3fXekbT0nFo//rilRrxt8DQ8R4ps //7+9pNPZmSF0rsKXDDpUEbhPeUmTNisRnucxhhl6CpVPIihQ/V2d9ekj8FP w1vfM1dv1zqE+193r9vTobBikW+6iZ9eKSmpYPpBK2CYsvvWlyx55INrrvEe BikQt+j8CDdC4tsZfE5h5118MeuHSq0N9Ak2ldqfVfDAJ23b7quRILJhXuh0 oY5BJzjjDFYNpaD7+0uW3JdzXP597OaIBBdMO1S+7NzZT5eUVlsr1txu/+hI WsaRir/+qmuFahnzKevTJ0zw8vb0053bt89VTkotvOwX3u4otcadeeZBbmiH 36S1TVyUX6lFT2AV7QTSfDZvdr4QNwOJgTNq3/sz2i42Gjp0W7VcpLPiC7EG aQ5FkA7eknKZTNOc4x7tg8adp3777dbquZhfytyDBnnW6t7dBXr7frf/cPra kw6nZx1Ck6jqamV6N+uDcLMqAjCzoMqB5mTXVElKMIR/ptfZf0qUYEi6AYtF CabJJE0iySQQivykn0mnlCJcVCv9cdrMmzCJ+VWqHK4Wv5WKQjTrXNu395oQ 1G8htk/Y2V50Z8Eih75o1Wp/tXjeYrtL5wq5BdY8/3xmboGAty0trNjpeyxX hXHjNlcLHWY4CvOH7JXuOnXy+A8c6CRJLC9SoSjIctKEVD26dt2NqRaaPn2T 9taA29EyUpRUMDIxVxLyUtuaiYRydNIZ07jxAYQOikEDqZKLF0LRhfYItEib tWpiKRD+psX90+AQYg9K1Vz4S3kcDAKtG9rwunVOVs0HARc3Q6+d12+9da9A UF/xw/AVKxZffmk6u+SG5Um0M+hDIKJEu/a11/hEPOW777Yq0RBXZsPkJ/eT ZFtlsJ0GMQ07jISP0A0OKdCm0bAR6wDmXvQCqJLHnOEowOEGGUYglXQH3AFY pK/cvuBJGOTvE9cHCXWTEX6js7inn/jIkbaE6HgA788nbS/n3m3FI0sY55mO olKqlDfXCJUU6NeJPhohzFLm+JprX9v267dD2wGpbxYpM8Z0zz0XYlxGMBZn MsQXGsRwNK5yHrO+/nqv4pORqDBQQYViVe1Yh5aECsNqYmDTKx7Tp3udn+xh w0NcI60+/GE+5OKTXbrsScSDneCKx5VX+qOMjjThD58LwVRLiycg/tf0+VyJ KokbaG+iRC0ydeomEKt7t267lahXv7GGY59XE9EsVZAsDSbItdc6qWTL0tcG I1NDUy0afvHF1kq5+DmUJiQzeW1691YwmTiM4HFC9058dyeBUo1RafIoyj2U m+DyadDAHzd0YJURbMQqRzwPTc6wqVFnVCkX77xiAy8FsHnxRSfXjt6tMoHO ufWtVDpL+iXMSkkNS19XqtQRMA7/Jm07ptXZV8+Sa5TO557rDVeyM43O+9w+ TdOExN1euHDOgCuv3FcxF+dG9FCHQ6MWqSQk/ITU7nH3ONxbkNUIuKOfcpDX cr36qicQST/DZh196HGosOjbvv0efN/sk0+2VczFW6bYwLtWoYJz9erx/v8v pM6MxtglIMe9DJjAab+dccZBIWurD1cNY3oMcAOMrE8/7dT8E9dDFl50x1lp dBf0wU3Fix/JnDNno2iWcVF0pQfcWTg6yQaVOuYstLXC4xCv7da9+2716AsY q0wMVyfdrV3rnStkvwg2mcinQa4W+mDuLFgwh5mlYi6xC4XRrZs/WidOdCIt vGRIy4U7k3LsZPoQkpe8t/oz5VggAK7l36TNCUL2nAKPDJlqsrg4W2EalKGN SJqgUBd9YjS2ctk773AcuvUHH2wvn0AWeMt1SgsWeGF36622SO5v+ghmMJWg 3zzfseOeCiHTWjBdwcCPCVFFNrCCQR4bXFO4CxMDhUHp8qEFzkyLolkFM3u2 9zJDd6l1dI7NrW9xbteU1BKbYqeZkPrhhx9mtoEw1m4auebFv/665+JRxP7l hED3unvBO7gLcTF4xyAcyoesw2IvSqCWLR07q0lXNzpLUJh9jnTnD02bHkDD m/LxMqZHlIv1hQTPPGPYDL7B3YCYC+4697PPOB50fd++O8qHLiIz4hUMev1D TyFRrnTOSzPYRB8RP0o/5S8cPkq/uLx4TebfscPrIRde6KTwOFtLgTntWCTB 5mLFjiDPVw9E5HKbNz3x7HjjDYWVhZoFtJPDXR2efZYPxAaktYiyp3XPhbAW quzhMIO8B6eRmBQ6Pi3xZQhqHGLLypU7DBezQNLcEG5wqQiphvo+HfK1k9NR 3FtccJ2tYEdygsVNL7+8Q7uKIJvH0u6VD+F+hxgkDcfoKG9X5poDuvOKt97a 4fMRB25XOiKLweqllQA4qbDpYX7S2SCkRCCQu9/QjSX+/nsTTnO4ksrFi4/u UfGhHpK+fUOsJN8SBMOdr7Vrtxf5dKy7CSzU9ZlrXbGCUKtc2RvGtER50NO3 gk1HXgx3/Ypo/DhNILCevueePUrPuAR/5UucB7DpbrzRSdF3tuZOdu61/iXc iR71MJfevf76vapAQJHD2rzZxXUxKiAMouZSedncN7mb+LWuuIv+ftu8+X6k a5QLd6UJUV3i7dv9riQz01CaSh9C6TI0vIiF/X9voA2uKGGrgHE5SKQovfSS RwkWb52klES7bM5ABUDhTIgidIDi36RBFuoLLZNJ0YbnJSuLPfZSgp0NSwVU 19l/etllXKzLO1wOtpdv33I3r8oyt8xgQVrAYAQJBJa+QocrYehObZnHNp3A wpvTAYvduYmnNXaMkpOMNcvDiYXdeYe3br1fyYmKRQ4hbXQbDS/ENhBOufRS J8GsvMgZV3Io5Pzp3HMPTK1b91CUnEjSBTrcIEcZE25kmDD33qt+4GxEkLjS Wsh5+dtv80bHKydU+KK2BsL3M2I8I4EKjalTQ3LiRQmR7YkTHvZ8TzhDI0sD Ji+L/BIlwapV/oi//XbDCymBqAlUvLBRYKZlz5plh6qWlSJTwvBCZADSd/78 VMiJJGE47aLkhO8AexOSWnujIAkD/lt2hyjaN9/sHXvr1hnaSIeCdqJoY59D QrHfXNB+/IFN3GcPBpfBWrnSy4ybblJYpsbxBuWE6DS0zDkhfr/ELQrCIdgv K1YIlDTkEUkyNfQ1y+gQKHFll4pLLOZJCDY5OSkJUTRtaTdCQj0uUUSkJLRC i2/dt8aRM2Z4LiJN3ArT73H3wF3JdwnqvzRpcgCOOP6tdOj9RGwSzzcCwBsH TjIChLmHvDEFnqYelSYOVVGuOwaZpEaKuXPJOE/3kZNKwuUdXAfL0aW/4Ego oO/ccMNehYUewSAr0kAMN8RaoRtAT0tOVuhecANGyao2NU5jJSsqByxjSsl6 2WU+uEZi38j6Gn1oekBNyXDf449z2LDymDFblKxai3TeBDfByAAXPOQdyT2p tM5Gdsu710vyGP1Vf067F17YqbDi6slrRHCDurplS4ibdNMtPG3hUsXtmxYt +FSLLrmmh54828023CZN8sfRc885yUnKi6xwRSHfMUpWmA6WulkyQWFHdraS dfJkz614lBacf+843sbtawV1zWzlfKLj8yAFIhpYpq1bjaxwPaum9K9jRMgQ VzSuZPj9d0+GPn1C3MRzwRWzglvcERfBDcIN74Qw3Jo18+FGsgFTIWt3113f 36LNLRZVqHAY7m/+TdrBIEz/Lz3+oou8crJzZ4i61Opx2wSpe1lM8KA182/C /daoF2VFSorffvOkeIGYSgvfb3Q3ovwqKlQQfILzBXqdkiKuKlzhNW7svVNI yEjAjwv+BF7ccXe82jKyVFHn208/efzeJlOlXnLSSm9fTgQW0qK0Ila5speH 0uYAFSGQOf3udncbaSdO9I8inc1IsdftZQfpg5seU9K+efPN4ekqpAUnmmBR 1JE+gdAMSKHwyGqBC5rzFNPiTTjWIkrF76huURP4hx9CK0fh7Xf7OWoAU0bw w7ln0S+Bh2AI1/dgqdR7ceiQc3XremcZmR9R6jJxlaZiJuI9AEpTqPWHSdbj yFaaar1tnWgdOrKWxDuiVfnIBTUlV2hwyXvvMQ34dW8iVRoNW8FmVZc33ZtG g5EjPQ369zd42oS08pglUxUe8IKLn1WJUvFmcbFwO2VwEgoS10ADokcERTQn jaLYu3PnPbBo+M0EgiJeBmNBm6germx0anKOlS5JqOxR6l79xhusV9b/5put 2kYENUd4AQsaBBp1x4/3j3r9dY3MsJJm8dA0VX+msxXZp2PHPYo69Fjzjig1 jhzxZl/16lFqaI+N5gNXfqVMNq9q1cPW07xEvL3MNplSQ03zQYMMRRSHJaKo HhOOcJTUjbb1Dk7K2eA2GIqIxiM6BJuZ0E2BwCPcCMsbzKem2k9hOYUQWNOP uWGgEhgOGkgzstT1GjoCJHQK5ICzpcAVz8UWUmp88omnxvDhBg/WsOXJC7wh ZO9hXKWxYzcrdVFDYd0JolsYaaHwLtPPAhJxRkMxLTTITfMqEa8WY0qGIrJN 1dFWPzl1x9OHsEdZnVIXzUIt4VWoC28zZ1YgG1r5avToULbr459yT6n3R6mB kCsiRqyAFk+wWle6lXHuWLxOEmE/2tiRPhbo48KJrQISKSOmdRQPdWT4ArgX tKKjuSMIqOm1Z9wzZginhwrYkvLl484YK1SPWpXIscGZAMO6QXLqyvvBL397 9SB9zxiM11Fnn+1Pdt8wxxqqwBywR+EkRuSBdkzIf74oi19iJaif/tVXW83z VSwkBYRDnH8h6oEVxWdhxQNV+IUbkb0AzQNVf/ybwANvMynQBiBKCuwtOiZN kYr6rASe9l3Gkik8KGHgJtQNG36S4IgUklRIK+UpXDQmpIV73NIgiiRYOlCj lXF//DE8iRV1vDeMxrX+YNVQRR1G8cYSJXxtkKBuYW+YDEoKUubY3QLnrIQ/ 8Y4PM44FXr8bb2TNg4tAiobnAt7gh0aXRgr1OpGeG+Yj+Jo/jnOkq4jy1cTo RqL4Xfea1J7DGkvEj05zKaXKk7Sb6RNI7XP+eOsJHZ+UtCjl54YPuKuK7GEc yNi/CKtYvMzyONHFQovIPr/kkv1rjz/+CLR+pQYSW1Bkz3cp9k8+6S2RKVOM unF2s1Dj0nffDfUw+cYCaoPcIIMH/2CJEpxjZfDENc8VxIIfooywxfm3oion dl3E/kbkCCu8p57y+KGcIQXqRr3XQt3zpAKevRXSfhQ564w62bLGuEhGA8iP P9aAQzrewaOeeyXFbX36hIaPrJaVEaI8R1FHdgNSrK+5xuChQBTjquIlDumh AoLOIayAFA1VUqvCV3hwlMF2Rh2BwEOGpXVyEHhQ6/ZnZfk35xWJP2/RSdbg aS70VVc5qUvLlbQ+Nzcdda3mLpXDDO5yHD6PP/DAbiUtThJ+FBSTKOMiO7pG DT6KBXtsYe5OHcE+btsVUftq+81s64XqWLq77z7vW1q4MKQunY9s672y5j1l tDjtQ1DU9nqsmSq89et97BW+dkl3xYax7g2CH5Rw4HcxKeWKn0056rtH9Qjw i8VSoS6aR3DHUgAUxoVdBpc8/1YwFO6wVdARzBiXFCZm3M8/N9SR04+2pXyX kGJ29eqHkF3FvxUKtRwEObjoUFFHPjGcfx07GjxNumczNSNe9Th+0qTNSlo4 ciyUo/Duvdd7ixcvNng4POdXOVA9SlrYjJDgrIUJPCT6QCZwT8yo9xn4IQJ7 RlLS4jF2DgtpUQBpQWwhLTR4c4Yo40LphxmIv/SzUuNB9yAq76LUhUIHB22+ f/7ZpNS1BjQT3UTD/pZbvIN27dqQurTNoTWh0arCayBuME57EXioNUOclF/g kEgNMq2sxUoP1wNaHTfiEHjgJKgf0dXH+f4v1QMVHNgIwC85dVFnqRF0pa5q JXg9jVIXBibnKkDHVQOdGNY0fkVdira4WZWgrn2yOGYoqMNO4pfz4i7dCCQZ WUL26KEu+3TEtxAtiS4VvIHmTxL8tPo2TvVAxoCSIqHLDapLFB5S7oBfVTip BT+8Sorxy3E5ht+0af4w69nTSdFlXqRFsbe1c8kfr5Dya+akXxiaJUI8so9Y GRfGD6QtpC5JX8V+pOMsWbwPVLGHOwDnBcfRCiacj6+4V4wacDLiaIeTUaiL UnmsRJS6UBQRR4Olo/CQJ89dYKLUgEsJ1KAj3jrDiDXNFpPA0/5haMKg8NT9 4d5x7xh+LVp47x/qRpNT113trraCRqFuhrwrDu0rlLoWbQBjKON++KFnXLyX PqElEEtISeJHwgB8C/xbAT2efdyKQ3dKCnU0wi2ipYR3uDusMlhIocUT3LhB 4MGzY4XJVWX1cd6iOgcmxJ49TlFcRh9CEeX3iiIMM7NIBCT2C+9VnLeKIlk2 5k45M0JdJq7SlOSS2dYCDBXznE8WoTPijmtOdCeyR1AdocgWB75nnx3SYL/b b93fBWG0vLHNJvBgECOC8+VV7qo4GsDMQ7kLmVMKUpygXLYrZIXXyjQwQfvp ezZ3Y48C3tWiNBgyxNMAGdIKjwxotBvn93QKim/ccgvH/dgBKChCnvGy4411 iiJOF6QfQ58nSzRK1qMwLanmyCaJEvjFO+7gg4ddrqaYLVyKN/04ZGco02r+ 6x9/qCM+HQnX/FKJCJNVlf12/2OP7VLs8bZw3gRouKfUUOkNfVmbBUn99cnf L/tNqfHrWWcdnFWjxqGo4gg1Bq9mhiFn1EDGR8WKvryBKCMgoYRxr7MIii0/ +mi7KWGC4qNdNz3O+wDtNRVF3afDyFDJoyW9UleOzSh11Ta76+mndyn2N76y 9l071pV9VZu+4gr1xacjDGLSUaiBDGPopFFqQMdkBzS2gwpw5EZiO8DeC6mh XQ65H7iAxELZcSsgUaBryoxSQxkAWYqCIvw5JgUjDUgQzuAUcKEu+g/ym75x l6IIyxeuRvjyabelQGBp8IQulUrgGuJuZK3PohK72vAbdXFcKIFV4YdCrd2L 7nR3WgRVqAFXNDYzsoM0LofWh7yZkail1NCczT//DOGRwAN+4CWFp8cPv2Mv n1rXO67inFiST7a9UAFaqJBnAG1b1NV1hd3EPbEE3rCLLtoP1ZOTArITjjOk pip+qGNWyzyP9vNK2jfcGxaVLRga2Ujp4N+yQoWfbanOrrORFkncUCE7dQpR l0gqd+sW1DVqzG+Zyk7YdsiQUVLAgEDwHBnu0iMI2TsDr9h+fXSpgJ/tBcEP rUEgudhPrqRAtjKC58jeUfzk1VLRZgJ6PKLnneLX78Zt7fmdW0hfVvzIZuTc MuCXRy90Ja00GOcYipAWqR3QFFjoZunj13ASP9y+RlqokOAKpHYo6pGig2gf BHRk4VdwC+pQH5EmEtlz6e7yyz085IELafHeDn5h7tF2QZaq5eu5YwX3fFV4 GiUhbcHaOY11HF/jt3Zlqo45Y9NeOmRYbc4KT104QjlxRJcK9eYIymO+KZBW +hYwKYS0Gu7iVZRHoTqSAzJ02lqs/++//Qbp1StEXXzCKFXQe3Eaw+PORUmZ qkb7phzsr1FSqIaDwLe2eOrkOln3jdx2gTwDngw4GfmuyiIeUa8DuxH5gqTc KIqSwMddqOT21WXKHDlMhksGAsiZCUfuz+5nQ1Et/bfIRsqjt7lSV1p8czfe gqoZTGNd57m77tqjj8JpDPXp8xvdjUJdrz41auQFPJ1Fir1IyEce2viEYq8O NhQyKcjX2m29i7v/hC9F8DYJCpgQQdu/3ymNpZEKt4CObIeVZKWx+0OuQadg giDkqQRBpxNM/PvvwzWjQwNCt2/7rZ0VRZSxYBx60Sg8VH5wG8BQCfWnLqIk MJsOH3Yp0FgOZM6tEtsPbc7tddNyqJqHEBE05eDPPgs1KOnCBbdC4mbGUYEj A05dhYcgOSr4viAzxqjx8sse3ogRBk8jfFxKL9ToKx5CjtZmqFq95R7WT+G4 UeG1YoUXNiR0tHNVnE8sU8+U6ZybhixahYeA+MFMlxn3pgZU/WttQh4d0JW0 i+kTSNsaIS3yrRBbZ7kmj3rm7s0P4VHMaxUjCwn1Cd0QiJWFGnAlmf4s1ICa A3WH5YO4otDom1cL5cPRUxKOmwg10Fbeskuy4uUD5y8JPDhiYPBw+Eyp0bat py5SzBReJE9e4SF8hqOBXfkCzwIvc9wcww9FlTglkW2XR0NypS7ZnwDB3R8K xaN+4yuv7FDq4uXIMPP5ropyb/fuoe6kqJNpAnd0FHWVDOytSE/QneDajgob mO9IX6WTTUHSEMQ72S2WFUoG2KyjEeUTkBaIQO6OUkPz8GFSa/8vydKNVg/e SquEcY2GDdum8OC7sdiLoojYOoQXooak+KZA4H30QW1E1409lcDYyRtKljzC vhbzeC+Zbr4WJTA8WVB277wzxL6f42bQ5SYs/kexV3hD27TZr8Fs2H7QeDh9 R6mBvlqaGiLtvsBn/Jq8yIL1uvdeTmfkdEuBh+g0n73RBYPqDzkJitA5pyhK w0jOE8sKDxxLUBeQqICznDhFEZEeoPjDDy6vHuy+x0e6dWMCwELhTt5RqJB3 waYlKD3z3XxJL/Z2N1wDCNtt3WrYi/OJ+/d4HSwbjWUg2lje0BX1mDbG+4OU GMg6BueiswdxstAX9YvmgvfEyNbU+O/OP5+9j7muFTpfYB9PmmRrpSWV3PNG UPvs0kv3w8/GAU+68uIdW+5lMQjHkp4wSDuFpots4Dw6oAtRIRotnCREbTFg AKtjyOcOUyp3XYR8G75L32j29tt+/ehQM7QlMsnBTkG73ogRLGO4TjmGiqLd LRgWbD2V3pAHrVt78UhiV7u7RapfBFwWKmAWkzyAXLDXAvzp/lQC/PKLl1To IKBgpG6SxYqAuVBmiZoFqENQDEZc5i7TJUY5DjgGVUKbNrkoKZmSQkB4m62T hydgNpyKqCHEeuEKzgL2rsFdq8RD0iXOlpYt1VHBTRUtL1Y66kGrmFmr1iGk 6PFpjdNVp6rJKe+8YzDUH8NN5QVGO5F4KM5ExjpS84yV0YAHGUTQW/ftE5M+ HQmP1i7Ps3IWRA8EMV7Aat4GsmwUG3U2ICjVNCnnwQdh1Qg+9pMV3c5WF0gT Kh/ZxVgPLC8xieAKh8uEhnsbR8mmVcgvdRgxxCwg5TWUY8P4hXvbvBj2PoHr +67pr2Dgz4NL97vz22xjdwKaXURZFic6QE2b5hqFQgBN3KPYaNzsqwun38+M AC+CCn4c4hD8CEM2S0o2TNaSfIVsumGvevPNHfaaD5IJ+tZITQV5+GH1K7Cv 2fwo8tIKWHwoGtxY4qoxsER1nrt3++phuFWJWxTCQToGSCQ/22nzg/oOOQSi D6dnHc45bv0JSMzSKWp9IDzJjeUa8THeDcapn4IAes8gp/BAVrc30ERJEUCG AY4emFU7drjkRHKtXWt7bbAnEr9pElYXCeIDICBePGDv1USXF7gvaDkNQXk9 IbtXxAs04Mo7yQjPOOR6rHjH1o8ObBbe48aphcaVNvZ+e7Hta/z88xZ0yFlR off7xkJTp/rnCifqoyUJkvN+5NF/1r90CVlM29xPu363Uw0ciNIAcOBff7k8 +q0rYa5x19gJJa8Xg+MAGsDe/Ctqwnt8kgDXXi7I5CYBqLhFO6AKbpPqL7jC BVkHXLv7t5l809w+dCnymn86XrBjuq6sOfwALmj1sytadg+c9rrV4VyF4oV1 p6cLYTV3mmtm86nt9fvd/KQXX8qxpxOrG8fl0QFcyXK7u92iGEIWvFvgcFpG jgsefd59577T19PqWY12eIpVtI2qbHk4AJHPsavQrV9xpQ+yFpS0yOKOdG4R 8uh7b9CYW8mD9xkdTp9wPk/mjTecQsDpBPUZUEj2KAQybLGpJtXfd4YigjAE pypUbrmQTXvkX+tkBgzwZKpf3+XVilvJRNxhCr/krWwtehmtX5n1bt3e7fay Y117CByvNsc3Z/YHSqY1Sn9k9Ggej9y3cjJDeBRBZ0RjiRkEjL6XiTtwy7kE 3zJacuH0ZpJKlrligy49GsPxamY67OgNJQ8fH8UGDcYZm09/X8bjSWwaNosW +UgjNsPy5S4FWvV0PXFiRGm1uMKYdpbheaJApn3L/HHBBZwoo/OMtoGWeSJb hB25eCEmaiyQarR5sysbEZOIpEAafPGFk6nCRrZXewkk7evBb6VGjylxgunL x9HPFJfuu091SH4jNSIlEUsqC++zmdTYSwaOWkDvpNMiihAkCAhHBMyjm7gS TbpF88sAPZtxhwrOLzmxyTJu00Z2vnSg8Ho4jiUk/ZKUODceDDed9h6LbIBE T8IB7V17fiaafuLYRcc4BQeLD+sACtIeberBwQGS0E87G/0P+I0etOMYHLy0 WA8kDii4r77yLAwlgTasUlI8oNyzQsAhOs8LgpdN4I9GyiE9FRwEMpYd2I0f 7/JoBK7kfMdxhgNXtAs5zSt1y4uzeY3bt9eeNP4J8IPBtJk1yxAWK4lzJcUB ZHmbv7vfrcUterTC2QMzprSAhAcQXUQxGbITmsnQVq7VERJ10Zgs3iJkYW0F iVQXHJDIWFMsUfQAGjRpwtwmq4Q0S/A516ZY1/Pt13NBN8LaChLZLtp1S7FE IBLWB1ZryBCXRxdvJa2k5vKrj8QDgo4JTBP0RcFGRKUH7QHpMcX52Oj1jIeQ kaJ4ky6IwmQuGRe8oeTNryVJc2lyOwxw8DoWiBhVG4bhJFACk8Q6X6D2og/h cuWbqwcqgXGW8EmAgk1pTMEtRzG9b76xFmbcmgdbGU2aCH8BCYXd6hTEkwHO ssKhdLldCzOxKUljV0SxudDzFbSncyePfttKYzp1nZYqCI1hMXBlEf5Ae8KD evSwh+hC4jI9RFBHTAU9dqKow0Di1UL7OG2brS4k9NosGQF5zTVOj4QLZOhe OmLy5eTjLAABCX822I3zxDMiG0B7FK1caS3xPv7YMzaqbbZtM6i9XW8wMe9Y gQoF2yodFFG0Pmad58UQUejpOvd333V5tOdWAsvG5miBJ3A2t0ttRx/9g7JY pPL9/XfYwVCpjKX86CND/hXHb7eDe0uRj3vRrr7QGXIC2NBOk0af3gxFxyOA 7NtXzgoOVqPlHL8OLM3ciVeynCB7TUB6kw7SHPF4wk6havERmu7SE5oLAuLD ZSdFWsjJqK/nl0Dq6+Gw7Nit8K4rSHRowObGdZr7RcmpLM0SWHxKkiPKmywa pRscDXah7mLfELLFIvsedWOyb3QOMcctl4e13tlW54Be37zBH3IPyRz8tkPd DjTFYcOsuyl62tSs6Xlw+HA5TLLhTwVUfnkSwaxNEEFr1DVKz6UM16WLJyo6 khF3+46ymcx+HTr4r5CHhqY7Ahap7XPIJuKoeAwV+dvaMaKL3WJDFIcPMpiA KDGbIoqTEGIPjiE6k9skp/cC+tAckLOh9MYrIs17nh6BDDGHGlKbRwaHilH1 Bab/9FOlDMx2dPaAOoJp4H0G3MAG0ROlDIwWhEKxA4nWhYQyENGku/PMoIGj DqGlEPywO4wMfQTL0a8MYUVu8zDFTZH+w75XNUCC4EQlBQueR6UTGAOZ4iRr BWyWdpeD2oJMWJ57V9c1XwRRpCDFdVHOZFZDBJB7UJOxTWZxcHGE4FHHF97y AbDclkTIDA2VHccIsKkARM0QAEL20xGoHZs1Wxr5hXQUK+ISvProqu03wVXF iL/r3tXG6BD5IKFYF9xBW7+DxxuSFt+hHzQC0q3lu4mOdkZOBsCxx5R0MKkg yDAvGriMbCkFh2R+ZKCAD2BRoMlna8GSVg1vX2Ts6KN9zvVW9MKH4ov5gZ6o l4v2+UYVoPbQxQqSSntJcr6G2q9WphAcrIMmBvJcP5933vEEx+ISvRSpZcu8 lgrIEJM0VZlPBlpH6VyQd11QcAU/6LsAUBKKs4AkU4Z8jbYoMPUgXjAEZszg we5iwRe92ciw5vSsQnILVAuYA5CeoBCSEYhv02U3QFihrhfuJtBdum5xAmob wRUaN7jkW/rsc/sKRpCBQFPxA7ZbvdpwhVcYXfBBbgxBGIOszsuOTvbC/hr3 49YXNllIfeFScwdmC33B0NiKEFSIbKBXQ4bMC45LvHSiY0c/L1AKVUno+d9G yIX31kGrDJ9dmDueImQBtKDywiMCxkHOBWDgefgOSXTIuV+/3gU38735uLwB Dmwdg/uhkUK20c/6BhKESyHycJPeSpYyKya4DX/hc4XaCdlGuyRNbsVmQ79e zKJtUkLG9QYXQsKMZ7YjXpEdUpijrqTvMw/jL2xuOMiQN4k+3yCgshsISqsc 3ML3FuAzFFmKDz3kJRgsGdwHGGh5/scfzG+38fD8LAd1sqArNF7YmHfcwaci Jxa3F6Jg/eBdQO4biAHBheag4E86J65MSgB4mKzSWwhgXasRyS4gWOFshtgA G+MpWEHsCCwVWozjrQkM+dWkz4Szz9wuBcNYDnebxAgePSgpHHhTLelf4MC9 9bGoiqnCQYa7JUhKPiD65jMToE84j/4kKRxUu1gWY4GEoDCysVKEA/ytIZbA sQQ3NFlMEQ4kaGKaLg5eToE3+qQA51H3KLzqUTiwBCGVjwlOH/oE0jZXMjrh AuGm+3hTFI/+1MNpiv/CPrL8U27dYxW2hKW5A4LAtnxGdOiJwm6WC5zc+k/y kzOjmeXydmTOwZOndHpqPfvk3XK3POlT+EzJrQdm3FzkHTEcv5an4L1mrMUY vaN0OirEvJ4iTnNuiSdPwauxkcf3r6fkNpdwXfJ6yl/0oae06b9qcDTtGvpk X1L+/A2f+afkxTtiHqGbr8KpMnrJFHVQpQxH3iPLpfwC59J3V3+qAduU4dA+ xD3ckVLgIMzFcNDnOhkcfedFIO/fjERlYJ9y0xZbheRw0GSTU80icJA8gtT2 Y4EDw9baaliyS2wD28sPuAf8DZ8nhYOXFlq5m8CpNHYJJ6mheClVOEhCg18z Csde0oy29ynCgayy9zoKHHTQYjgmU5PDQQgwsd88PHqcwmd0jsJhMLraZATb S5Tl7skNXUOcQLnffRSuecZxWIAr6zLjV4lbYfLowcnhRNO1BQ5SmdXCSRlO NDdZ4Fg03k6+FOCIG5pf9Spw7nli/QvqwUwZjjiRornDyCjhFwAZnVOAI4m8 0ToHaBx42eYxwZGSJ35Ru8BB4QlaXx4TnJ30UaljhXMLVrLejzJiHj3k6HC8 AyMd/Y3MfhCvGF5WyHQe7oanCgdJyXgvUxQO8iQZDlxhKcJBY7jEJhXjz9x7 NsNBHX6KcP6qt/e0X8/ac04Uzq+N9pwTf3Imh+PKuDJ78h/JH4WD2DzqnY8J TnPXHC/IZQhp4ekH9zR3eeTRQyNwGIze/Zh7DHoXe6jSEpx0duYNTY6F6EbQ aRUOOJrh/O3+ThmO6CWcxCtwkL3E3GerlAIc0QmQ3qpwYA+oDz1lOLKrUN+s cOB8+OZyd/kxwMlGSiHgcDSSoCB2yw4Z9C/mkcOODsN7RLPwznl996ztpKH+ 4SncjoaTasrYBkIpZ2q3w0GMF0DgdpizXGpymD4p3Z6pLc8wcSTa4s2zftDw 5PdKsiUchcwIiJSleu9GtxH3fNVy18U8Y7wmO9m94vOGcoN7WVHKoU9Kt/kT BtLAdJAvIveEt4w7OqT/l7539qfo/9wFNi4zgv4dT89vP4mDGz/h7/HJh5TO ZQg/pU/kKWm4Wth+SrOfSuX57fG5fJsMdrr9VDLPb3N7chQ2M2Km4cM/ZdlI NnHT7acQ73Qbl2nPy41seQPIjH94dooAovgXs+/TcnlAtl3LsGvhA/j/9KPd lh5/W9p/A5UVDyojfnVSABWdbNFcMMxtilm5IBLekR7/U6r3JozLyPPe/29Y FzpmXBO2VQLD/G9iGD4vb4qwzpz1H/DKl3wtcsNL3CC6j5I+l5+VEX8tdbql xf+UnXzFCtm4FPBKYeZRvIrFc0MoEnPD9X96jTOODdfidk84MsQ1QRqmGxOF iOS9WXK7o/DRwGfleVsU67LJcQ2XNdWNncIdCeNyu+MY0ZREBrsTv6VK3FTv TeCaFO7NfRIJnJugjhyVXxPGFbRvw8M1PZdxURw4wY4lUUX7qRJ+Co//TLvn fX+Psz9HU82C4/4PCEw6lA==\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotActInhOscill", "[", RowBox[{ RowBox[{"S", "\[Rule]", " ", "0.5"}], ",", "200"}], "]"}]], "Input", CellChangeTimes->{{3.417827204654479*^9, 3.417827247230474*^9}}], Cell[BoxData[ GraphicsBox[{{{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwd2Hc8lV8YAHAkKSpbCYmyk52I97E3197jumbIiIwykqIlpEiFikKyqYiM spKkYfykXJuMSkLK7xx/9fl+7uu85zznOc9z3va5BZh70NHQ0JjR09DgfwWv /r2fxf9ObTH8sLFQwyPVJ4xie/29Swi6O5wtQee0icbw4lxR7xeETowJXL5F Ia4pjjpuT2olUhZbhW2lQogW6SAvBu+3xLZ9Qxq/ImOJ05zrT9dz3hOUOlLS 7sYE4kaqttralV6i3z/T7XDxVaLtco/eL68vBGv9TO6MfwaxEM88EV44THhJ cj1k+HmbiGouEfudM0L003wV02/PIW7AUvHPKxMElHxTv3Uuj2hXPvvsm9c8 sfdlSqirQQnx6Ch7tELJAiErvHNgeaSU+P6fe3ZI4XdCn607kOdAORHNw0j9 kfOT4C0Q8y0uriTS00285q/8JgwpyoeXqc+IjpT/gia91gnOw0s0u2KaiMSM G+3XZGgg6zO7yyWVZkLSm7CXK6EBP+XguferzUTwlpRTwYW0sGhzsyIk7hXx T1u+fiFnE0yrMUpuqmkj7nJ+Nknmp4fbjx0XxVLaCa2xc18O3aYHssnvd+Z+ HcSl+F6agPTNUCN6h0vvUCexqzlSc/bKFnhTb3yL5dtbojZV6MNlJkYIen7+ WMeJbsLZrdNd8gIjCO197Sa22E3k0vKf943fChxnDjUz/H1HyEBj21QkE8SL 8WWyyHwgDOq2mIx77YSztQGDtpL9hMy62y+uhZ3wUOSQ/7nJfuKygEuX0FEW 6Kd7LamSP0CEuNWEWr5kgVcHAqO6ZAYJrfHAl1UfWEE+fTyj3PsLoZTAv6tr FxvIc8keVeT/SkiKdvqOO7LBviUvwZ+JXwn2YyLs3GNsENB0WOCI6zBBnf1M Dv/FDq2XTkqu7xghPiVdqko+wgGsd6JSdkaMEB2HjmwtiOKAx4eO9X8cHiHK g9JK+zdzguD9dlaJ4lHiAZsG/Q99Ttgfd7CZmXWMyKyYt9mWxAlLohZdRkFj xJlfBuvKXFwQEvDzfoHoOBFyY9ncwp4L7oifrlKIGSe8Dz944JvFBSw3Ik/S 9owTjn0Wq2epXGA9zt7TJzBBkCJoTW4LcwOLe3NQqu8EocVTcrfyGDcwVQ66 7yyfIJRqHX91FnND5Yufh44uThACf5/c/qu4C/YqSHFf9Z0kOLI8FjhP7YIt QbQ5L3MmCUaCXUvqxS64XEiv3/puklj70pCus2k3lFBPWlb9myTmY4/POOvu BoFnxj8qRKYI6j5eIuzSbpg+JtUwazRFfGpqT736djcYe4VEpRyfIjooYeMP 2XmAoMh3dl+eIurpDyg32PBA7XLH8tDDKaI8r+dK3y0e8LoZ2T//Yop4oBM7 vPCFB9x+vZtT/DhFZE4cVNi6fw8YKbMWjk9MEUmJ/yXu894DWX1t7YeWp4g4 sQuDR4r2wMlYkWlgmCZOdihKmy/sgf06/So6bNPEMd/Rs8fkeSFU3trSh3ea cGJO7Y0L54WVszPs7/ZPE6THhMSt57yQV7d+867ENKFlMhtdQcMHjS9Urdak pwml+cye11p8MO/fw0+jME1IJusJjybyQeTonG374WlCQGYpYq2TD76fdmYN PjJNcPTcf8PByg9H+X4KsilPE4wnzPYdtOIHL59vbi/Q72vs6yHaN/nhUERU 5xWlaWKhsqjN6TM/qO7mz7uqOE2MWtnznty3F34GF+R9lJsm+pa2BCZ57IV3 hzu3B6D5vE6van5QsBck5D0HfCSniXolCveL2b0Q9L3vc4/INNHvl1g1s0sA jtT1vqkSnCYsVF2+/FYWgPZK42N8fNPEm+2KW+mdBOBAZ+ENdu5poseQLaPr tAA4SNd1sbKi912YE755WwDs+y0+1m5D89n8UEtqUADUkszYJf9OEWt/uWNt HfaB7fSTKLYvUwTd0cUdQqf2waa0BAHG3imCMbL7zmzmPoi+YzDe3TVFsC8l 1sYN7AOXtrYLU3VThPjcylKRnSD0OaXfupg5RUhLfjoXFiEIk+G3bx9PmSIU j5VzaNwUBOXSni6VxClCY/yYbG+fIITTbb13M3SKsBv6z5/WVggiwoUXU02n iMSuulEr6/0waqGcnk+Lnr+q3fDQVBSc+RYtzTomiFiDyoKe46JA5yfxhK1x gqjfLHTt7xVRaDI+rzbwZIJQPk3jadEpCscPs9Cdzpsg5Hxqmdb1xOBRp/MO 5jMTxH5NGRtrDXHYedr/jveRCYLhN+8cvYIk5Fv57tYpGSe0yi/1HrKUhBqH 35QvD8aJOP/VBvsTkvD35ObnMVnjxL+R3mulZZLwQzb/1scr48Tv7tQjjlIH YV+diMYnv3FispDxXIWIFBi29UpISo4THodWt8tslwZ3Jl0O6dIxwui/hLxd /NIQJkTy2ZY/RsgncKrSHJIGXsNWidnsMYL+i7TfW5I03MoOWnt9dYy4l+TV 4Z8mDZs+jY/NBYwRX2Y/nC/cIwNeslurOmTGCLuiknUhcVmImuLxotaOEmCr ms6kIgtD5yCus3KUEKV/LfXTUBayuYtkXjweJZYdxp2a/GVhIrfVoj57lLjB xPfctUwWpAT+9gjFjxLvj10Mv6MkB+8FuFSumIwSxmIe37l05aE2UFt9fGqE WL0UWvvZWh7SJVxjjUZHiPy5c+dyPeWB1p3/WM3QCEFf+WC37Hl56HdJ0Hz8 foSoUZtUN34lD1HXWw7P140Qwpa+qWc1FcBF29d/7NoIQRMTJLdAKELo9N3H udojRPHwmb/VpoowWKT1h059hHDQSm2NclGEuu0s/D5HR4jqrRUOTDGKsLem ftxIboTwS1s8K1yvCHcnrbOD96G+XBD2wfHoYXi1VO1zeJ1KlH+ICm1XUgLY J3i2sIFK5J9zd6PqK4FJcO1q9XMqkaVoaPrHXglmVx4+6XxKJS5m7BI7GKUE r4eK1tnLqATFsWIwuVEJ9GKD61jvUQmO0UlNW4MjUOEkZt5+jkpsu/5WOsjh CDg+6HrvE0claHSq+S76HYFs8StX2GOoxLeHZ3/XJh2BpL0q9+LCqcQrX/5H e98fAXvpu4JvfanEyZ8WbBMOyrBdxrtyryWV8MtVXl/3Uwb1COM35mZUws1q 37dd0crw9aXanyQTKmHyZO6VQY4yPPvSkSioTyVETl2IKB5VBiOFo6zValSC XzLQs/WXMngn14XKHEXz/Wxt8ZVBBdL8xT9UHUHzI/YfZBNTgWTfJ/798lSi j+7F11B/FdgUZnX/kgSV6KrIe5MUrQK2bVZuJmJU4qX75ZqHV1VggqNhebcI lShrsUvrL1OBBruum68FUbwuLuqqLqlA/II+TwYPlVBhEy+hjzkKl4wn9d8x ofFo7dvfXD0Kfn/Z+4S3UQnX7xdGbuQchSidvrR4RioR3z3FLdZ0FB4yl8TY bkbPJxXEGm9WhV2KD5zJ68OEa3R/JheXKuhaFOX9/jtM/PDfWvVFWBVa7DVG r68NE9zGPlNBeqowSxqWmF5BzzOJmd+4pApPhy+yfV9Ez6/a+rncVoW+2QGt lp/DRPx04nnRx6qQsvhR+v6PYaKgfbKmpksVzAhbzpCFYeLos10fz35RBdm+ 9DWv+WGiK19v3mhBFd51XjxFmUPjJeQLfWFVA8sdhXxB39B4YX2q+YJqsDVA 8NDZmWGCy4vRNkhODUS5kitvTw8TKjrelzdZqUGE6+qvsUn0PL3oL5EMNcjn WdHvHkPPL9rs/J6vBkofVhd4kfNHEsRqnqnB0nWD+sDRYeJN04ST0X9q8IJF 9v7BEbS+cu5wzm9qYBh4O+8GFc3nrm7q0Joa8MWZ5TIgc5152BLIT0CyzSXf P1/ReIG9X48cIoChyps/FlnFdcsfOiDg/ROWe0zIXaaHOTtJBAgK+s3c+YLG J7wOXScTEJHGMa+I/EMqXd85mICHttV3Pw2h+fO3UkTOEvCz5f7v08hcO35H LVwjwPK73JgYcsFf4YxnuQQM/Ulz/vwZxXPWujyuioAnYv026chdg+c7DVsI aGXY8soG2bWzepyjl4BxnrGb/Mg/asdphtB12qffumNmcJg494hrz8NlAqT/ Tuq/QL5sfJ/nKT3Al9/CzDeRrbRrH/JuB9hVmEwfgcyv+l7+DCdAdL61sAvy hPxM4xgfgAVDp7shcqnkJlMDYYDWtpVyVeSI/XsGi6UAZu2HNikia/DK+bAf BohHGyCPzMRhuBRGoPEc/0UoIX9gopwd1AWwzj0Xr4GctekUizoJja913dEc 2etP6p08W4D68huLXshpJt+aI1wBRh/8VjmD3HBXe9rYG0C2XMU/G/nbYhaL YCDAkWsOUU3Iu/SWFZfCAALVSORpZK1bZk4dMQB/Wbbt4EbxCZwrPJuVAFDx aDVMD/m2On1h8FUAPxXva9HIbWlO3TrpADSzGZbPkBcnqpd4sgEMZ3tKlpEF VFj45h8ACPs43jyK9it8uMknvRrg9/mTk++Qc+V5k33rAbpfpCkKof3vTgit JloALhQcGQ1HFpMS3TT5EcV74tVBGZQ/1mfOiD3/DKCaRJRdQ477MGCaPAYQ FZxKWUUeiLxyW+kXwHTGpNCH4WHiYusPhQsc6sDlVPz8Ccrnah4jRydedbh1 dLOrMsp3qn9enMx+dWjpCXnbgKzMYfu2Xw75yc8vfeh8zLjWeYtbqMPIbIaH PDpPuyq5rv6zV4dJrx1bPiBrbQms6nFThyfbv+4Im0LxeSxIdypYHeQ4eflb 0Xk0Wk249TpFHe52C727MjtMPL5m3uXXrQ5Cl6KEC1F9GBh/tAh96nBk9M6u SFQ/GJQ37+H8qg7q5x7nGP0aJpy/PvGqm1eHY96iaitLw8SOg3y0O3ZqwKDZ lFrA6jAR0DIhV2KsAd1GxYNNtFSiAYp8Ja014H5fRU4HHZVgqQ28X+CsAZrs 4WEfNlGJ0pIVttwADZCRD94zh+rfjwymHxkpGnBGgBRyGNXLk76HSuM+aoDK FVk5DnYqcZolTNLaSRNEFEybEg5Qic6LKu7vPTSB3OfEWCFMJfg209wmHdcE rm2hQUOoXtevJDIZxmjCn5bxEAVxVP9HMqeJu5rgvVTSQJWiEmer6vPFxjTB qqTmk5QSquf2DAf++mlBvmzaycMGVEJNmnlpKkQLRLTadhw1pBLfN7O1fjqt BQ8bP0YSRlTCtozPp/SyFpy8YFyqgfrTAUaFx5QiLWhy5q0/Yo7WX0VR6JjR Aptiiu2oHZUIueTD8OSnFsjMcg/02KP+RQ7ovf9HCyYdXje/cKASScynIqKY tGEtOvRZmhOVcKCk1klLaIME+pISJ1OJJZZG7fRj2uCXd62D1ptKFI63cMUH a0PMFv7jH5CdnndOBEZqo/tqsFSeD+pfXn0XDC5qA6X6+hKgfptSP//mb4E2 JCXd1CEfpxKSfvzW7lPawNn+y0wjhEp8Vd8vYvZdG8ju+ka/kK9xiy+rrmhD otGK4oNQKrHapJDJvVUHLgTy9tKGUYm23cZDHaI68G+nO1dOBLovtJ7ylPHW AfOCjkth0VTC/aiwyVKADnje7tjDgO4DnmXdCrVhOiBZ8+huKrL3rQObtRN0 QLFRPykvlkocD3h73/aBDpCXpGbK0X0icDTiEl+xDtRoXBWXOUslguz2n6BW 6cDEugb5MXKIZoSG3ysdIPkkVmfHU4lIbqHhmFEdSOCk4fI7j/Ll8ps2rW86 0Ce7Q2gAOYo2vHTrog5cF2KV0kmgErEznTHXNunCHfftGrsSqcT5Fyf5Hwrq wrXcZ/G5F6hEovw+Bj9xXVBkeXaf7iKVuFDwelZaVhdMPAxfOyNfviZQV6Ou C7YSrkdZL1GJVK8Ohy5XXQj4sbvf+TKVSBsM0bzmrQtipPjgx8jXzfZK2Abq wsEa1f2ryBkqIavDMbpQ22Hdf+UKuo/t5L/5K0sXVniK27OSqEROfFtszQNd uNuyz2MI+e5KsHdMsS58vFstwXuVSuSOtB7eWq8LJ2dmtVKRC58EfeL9rAtT k9PfvZOpRJEkb/3wqC7sjE+RyUR+fLcl78E3XZCXVS9vRy69tCdUek0XBDIV 44RS0H2RpsXx1yY9uLVa1GuMXBEaqFXDpAc27kKRJ5GrXV6xa+3Rg/R85vIm 5KcfAv4wCulBre2I8TjyM32ekTfievCoV02TMZVKPJcLKLdR1gPWpzt1dZHr 8ndn8mrogfszQUd35Hq+l2eG9dF4f7/2xiA3btlt5munB3tt/VjKkcfvSxn0 k/Wg9ENbaQcyM2hp6h7Tg4HxxehhZNlBu6NVwXogoi4Us4RsGx6gIHRKD7x9 +au3XqMS0RznpFLO6kEUbbToHuTc0kyR9UvIpgUD4sgdRqUC/ml6EHt3yzsl 5PnJV7v/u60HWZo0LNrIHOf+Y9PP04PZM6u3TJGV931nevJYD5ib4yJskV3r GDYfqNaD/GPnH7sgn7fj/ZdarwdT6TlHPZCLfsn8pmnVg2lHDwkf5J4U3YXj b/Wg87V3tC/y8kGnqcFeFK8lNWU/ZL6OYKrBVz3I9D9Nwb9reCb+93RSDyxJ f/55I3vTZX0Q/q4HSYcyWPH4SVkVb9JW9OBe2ZYc/P5K5fYWOjp9mDz9rxjP b+DT0IvAbfpQc1hGk4RMc2Lx6RCbPgQnWpJ1kIV3bis32oP8gW+HCrLho72P aoT04WCLpYkUcqCuQq6opD5Ujb0XFkC+MWJw54a8PpRknLzNgvw8xvUGvao+ 1GvtqlxH8afuOXk1WFsfEkzTgmeRGZ9eSvxqrA/F/C2D/chSlnfPmFjrQx/3 hd8vkSMud54Q99KHhrh3ZunIWaJUv4wAfbjzuTUzGvnly98eDOH60Ozv+RDn C8tfQVtqIvo9/jf/QWTFm0pmpBR9KKhOv7YT2VHBxKD+pj6Uhqh8WUD5+NA/ 4mhmoT5E2d3YUYrcufWqAmOFPozuKf5zBflHXq7UyVp9YL5b1XMMWW3orYB5 pz5kj6SY7UP+aCK8educPkQwqnLHofOyOq3yL2xJH5x9LPtskAUSzH6P/dOH kY8r+ZLIfi9OTzXuNIBCwTOX3qPzuEn6/ZsIGQNI+jPXy4Uswxp7YyrEAFTi cm+EofNew9gr2nraAE5+8ZXSQtagkarNjTcAKXKLHAuy5fx/X1zSDECNX/f6 A1QvTr45LPapwgCWfYs536B68/zCfG3TDwOoGk/fSo/qkR6dy/CtQEOQkCUn S6N65/JTVdLEzwhCi722iaB6zMxG0/0hxAge79z2ezgKvV+66YRDlBFINr1m uoPMcVyn1jvJCOI373nKjtw2aWJwttQIfrRluW46TSWkh1y8ny4awR+XhD+z qN7TtJ/JFYwyBgjvTPuH+sPjCU29gnPGwDon/aIJ2Z6B4duhJGNo7tc1S0Cu 1Lwop5ptDN0jbmWsyN71qU02jcaw2tiaKIH6TXfF/a+XN5uAofng/ZBgVK97 POLZd5gAt+zvIQJZ/LuIaCaXCdC6iqcxIcdLFQU8FDGBsnmNwNwgKqFUUPmv Ud8Efnzl2zIYiOpn1ive31dM4FuNlz0lgErccpTstbphAtNEPuUw8g2eaymV WSawtWX2GxPy5RuuDMElJpCs73amGvXH8KQ/89+6TaCgY+8LVuQTRm6Fhv0m oEtq/DDlj/rVtnb3wmETuEiM+zUhu5+/0e/1wwQ+z9QfCEU2i5ZpprKbgr7i wIuvflTC6GhGlDqvKRzkoF94jqy3+u9wzn5TyDVnzb2JrHays8hJwRREKx+n WyKLH/e60WdtCm228o+7Uf+mc77j03XTFGzP6scMH6MSf/fQ7z94zxTiI3nH XyEv9x8bulRoCsw7ZroKkeeslCz0a03hvITbgZPI/xm/P/py0BSCgu59ZkP+ xKT8W3DMFG7e7Db8g+4LPe05ZWdm0d9bqBwZRW7TPi5M/DOFimnT5CfIA1n0 jJ93kuCj/kchd+S+v4c9mDlI0GeyNZaE/NHRt0llFwnol5ttVJG7eXpOZwqQ QKSYGrYLuSti80D7fhIcEDd5wYD8uk/p8IooCYwSt8X+QveXlhvZ321kSFBV 9+UYvs+8/NVjkqBAgvcTb6+9RG60ZCiqPkKC1/n5clXIz9n8PTk1SHD9VNPH dOTyJOX/esxJMMwomuKGTL61Y3ONNQlcBumlbJBZ8qlSd+1JsG/hwkEj5OON F+MC3NB6SHvNDyPzdTkXWXuSYKV/OfQgcueA7CfVYyR4uWf7qhCy+OKAGHMw CcTFowXYkPtpSix+hpJg21B941bkxO1nowYiSBB+8mMDvp+NC0u8yz9DggnR 2o8/vFD/l1tfvXqOBANFB6ZnkLXg/f6wCyTQmrptN4Z8z+5UuHYKmq/LpE4/ spmn6T3J6yTYvMm2+b0Xrt9Cnew3SbBFjimjC7kk5vev1dskIOeavmxHdr78 ei81hwQFgRG6r5C338zWb88lQRx5UqAR+XneiROl+SQ4/PeLaR2yb7nunfQi Erjq3H3/DJnnxZ7W6FIUT8L/UTVy++v5BY9KEhyfif9UgRze18xj/JQEZ43E LMuQRcbSteSfk8DP45ZQCfKn777H9zSQoFGJV+sx8rl/RAbdSxLsaf9W+QhZ nomjaaqVBCy7TUILkUe4J2e6X5NAWeJMfAFy6v7nnE/fkkCo+/VwPrK6TDKR /R7tZ1LyZewFVXef870kYF8+Eo+dbaB0zf8/EnyP29WGbWLDXGf5hQSOUXw2 eLy/lK/jKiMkELioJY3fVxRYySI0gfIJcszxfByiEpW3zaB8EIiqK0LedtHR /fscCV7lsgUWIz+7IZ3U94MEKs63fUqRve/TP32xRAKv4oCCcmTu0r7hB6sk eHFiXKoKueV5EVPSPxIE6OqtPEEObY9VCKUzA+m8R1tqkfd/snRxZDCDchNZ u3rkuPm1cvEdZmDUbNqE90tmrXuQlc0Mhv+o9eH9/MqYx7DCaQZfKzml8H6r CRrbt/Kh8V4F3OhFnpXaF1+8zwye0tk8HES+rfLr8fUDZqC59mdxGHnV8g6t +0EzCN50SHMWuYAcJGEoYwbntDLUfyLbHte2klUwg1xWSsQKcnXCbD6Nqhn4 3byXyoDy90SNKumOkRkAc6AFzv9K+1a6fpIZJIJJmQTy0iqpisPKDCR+3jOU Rw5Xcee57GQGTfdpZHSQTz+/OBp53AwER5vu+CGfr+8Nt002g7PifBzNyK3O ZIm0NDPYEvmquguZcX3689sMM2gW3X9uAPki8U9D964ZvF9XvvsD+WrD/u2K 5WYwlxFeux/Vj4ymoLvsH8yAMvr8zlXkfrc/FqZ9KJ653xLuIPNsOsdwadAM Kk2jkx4h39HM8KUbM4N+i9Vvrcj3XtYrfP9lBl6RZZ9oUT181MLU0cVtDjVF POkRyPUdeT8uOJiD2KD/RDCqv6W7uoOiXMzhisFY3hnk+56rC4EUc1AT3uGZ jJxIZzpv42sOGSI2U4+RLZSXZw6cMocIm4Fvk8iTBQZjjZnmcOOsl78zqu/s F+Z7V/rNwb1RolcT9QuG3t02s5/N4fdoxRsz5OX9Wp++DptDlKZOtQvyUEPG h9YpcxD6GOt4Cjl/Wf3d9RVzWGpx/VmGrOad1iGz2wJ8pUpoeFG/8tY9Uudj awFrzXcchpFnRXe/KnO0gMzM7fOzyMHbVjpXXC2AwiHvtYp86s3TwQs+FvDU bfNmdtQPkyyU1goiLaD2d9W8BnKVy2GV6dsWwHviKukOsrI6t6bsXQtI3KPI lY9cL/jbIDLPAn5eCKsrR24bq7bfVmwBZ+MOlLYiD/oqRoq/sIDL1s8EF5Dp whWeHRtG853rEVNB/TrBjrOxfMwCZoXz1zSRmVV+ta1OWcBqbV2JETLnv8q+ iz8s4Hjbw2onZNF4+eXCTZZg+kNLJxr5sQcHzc8tlpDNGMxzHllWd3GLCrMl OPQ3dl1BVtlWyf2awxIklkd6byObJMsdnjlgCfs8z/g9Q34fxE7IiVsCE7eD RgOyrcVPnVNSlig/c5ZbkMlcFdZMhy2BHJ/N8AE55LbsSQk9SxiM2VL4DXkl ii36hJElLLyZjf+BHO3y41wtyRKOHO6GZeREwfLrhnaWQET3OmxC95Vb+TJV vscswXlTy75dyC39lLbs45bAsyd/gRf5x7Yb/70PtgR47n1vH7KB/yrt0VOW YDXHWSKOvCrTbMJ82RLOzn0MVEEWpvwiQ7IltAyetieQzdNEQkPSLCGDVlBU E7lg6dKtwduWYGEbH2CAbFtrOVn02BIehA9U2iDHfzv/52uZJbDa7GyyRy7l e7aDs9oSHp6nVDohM8byKUTVW0IsE+hTkOXLTPXKmizhvwi5bx7IrtQzDmMt lpDkyxvqjfxEa/yM8VtL2KR/5Yg/MjV01/Uz7y0h/5JDaADyjocG+VW9lnBi V1t6ELLn1pIuvq+WkPNGNiUUOVV5eNhs1BLSLC97hyHX+7L/OjdpCUvMKiIR yFxdYXvmFixhtDHI4TSyxnqBlOAvS3A87/ouCvm49KC69YolrJqcOBSDnEne YXXxryV88vkvNBb5VSp419NawfYDHblnkBeag0/92GwFA4OBz+OQeX/lJglv s4JZM6a6s8h6wr137XdYwat3Hx/EI4fYbK1KYrOCFjOGyHPIOYkqbU1cVkBq 7VE8j9z5zP+/JR70vEjQZ+zl6ew58b1WcN6b+3gC8n7eHloXIStQjPkziU0y pue8JmIFZtkJJonIp6MVRVslrKBhC202dn6Jt8qfQ1ZwRz52APv910yTQ/JW cMHsMO0F5H+sb8gUJSuI7z3Kji2uuR6SftQKnnBNsGBbh8gkvgYr2LpJfxX/ fVwe5da6lhX8i3/+Frv40/ViOX1kJp8U7IEtbY1exlZwijGHwGY4svrhlpkV tN5PHMDzlT0mOfnWygqq/vm7YTvfcv6zyd4K4rS8evF6L3Ym71BytoKJsidH sKv/Nu3zc7OCR1o5F3C8hqV+yed4WoFKL7kVx5PZVUTvwzErYNBS/YnjrZRi 58AYYAXhHie2Yyf/rDsTGGYFTNI/t+P98u9JJjuesoIzVYKMeD8NyijqejFW 0Gn9/mc08uaArbQCCVbAqWKWg/ODajz4lemSFVyaO0U+hdwgWdLwO8kK1P/2 c0QiR05bxr69gfan9oc5zjfbdhHX2kwruF++Ywjno0L+KvEwywp40gQcQ3C+ eOSsRz+wgtz7kzI4fz2GZ6Klqq2gkcte/xjOx4Z6Z54aKxiXORmEz4NAdooa Q70ViNNvT/LE8XU8/O/zKyu4reqf54b3vy8u6spHtH4bEXN8/pTf7j79bdEK 7v591aGLvKv4m0PfshVk1bmTtJF/XX6h8nLNCtILU95o4PNq4PHnFr011K1p lqgiH2gpjTTksIYrPJ0ccsgsdboRhXLW4KOQcBnXl7HC0JPewdZw7l6y6wyq T5Z8/4byT1pDIfnS2ATyy6vndacirWFnxxfPUeR7Iem7jp21hpN76Vw+I7uq PavxTbOGD7r8Em+RB9+t/TtebQ19n5udypE/LJ9NCF21hvaAr07hyFq+zAtV /6zhkk70yxDkis9ptkt0NhB2461kEHJqU55YGJMNjBww3nQMmXS59XU4rw0w CGm8dkDu3MvEclrNBiw3S38hkJt1UjPi4mygs6ZgdhvyqGftm8jzNnAp7+2f Lcj0CaN0Jy7aQMpa7I7NyDqtiv6UVBv44PRMfR31nw7d/9S17tlA//fJrz+R e/T2z2xusoE12fqdQ8g/vY0F/r2ygTFxVf//kDkunLRaarcBESp/dx+ydXvb i/F3NhDCJfvgPfKAvn9a67ANlNq8TGtHphpUq16gtYXtrt3x1cibfL8En9ls C7HPxFUrkfdfYsyP2GoL9e/D/pQhe762ZzvGagvRwUwXHyNPG66PG+yzBcL4 83wu8ncjvWRmdVvw2LJjOA2ZzT/oFb22LYjXLK2mIsteyVxd07MFLXHOPSnI IW++uc+SbKEolfb4FeRl45QjXa628LKLweU8Mo3pAPVqrC1QnGr8InC/rrcS Com3hRPV89/DkJOl3lFsE22hmH931ElkgR1towLJtjC4op53AhneVI2XZdtC T5ac6nFkRlUZkRv30fuv7Pjhh9xdVOQV+dAWvnq/K/JFdr18f1KjxBYuXFyR 80GONUyZfl9vC47fVBPdkfVqmSWeNqHxnjb54u91FolE39st6Pen9FZuyDnb Yr65d9nCg5+FSq7IDe1+c78+2wLnASctR+TEI5NSA8O2MGMca+WATCqgBNSP 2cJnL00/e+SvifYL52dtgbspsdAWr19P7wf3X1tYtJTwscLrf9Isu0ZjB88M fR5Y4vWLECe+0ttBdv/mKQu8/i2Ki/nMdtC1XTnaHHnyZJn8FRY7yHBq7DZD Lh2XDA3isIMj4Ymi2NAitHSE1w5y5r5PmOL4KGYr8gvYQeWxc6bY3Xk8YXT7 7WDumsFzExyfc6zLHRJ2EHtCPc8Yx0drfcVBxQ5GdrRUGOL4VEYqA2EHE7de a2Kz7F+K3K9pB37DZX0GOD6bZv98M7CDoj3LLNjeJ7yPvjOxA9X3mpX6yNIj I6erzO3gX5uuI3ZD08DfKHs0XqVvjR6On6y1mpuzHQRqXQzEJt17F63jZgeJ CiYS2LvYjF+Ie9pBc2HRtC6O55m29R3H7KCmJbMYO/+7Jvz0twPaou1h2IHk F7G9QXYgFbWqia30TrmxNtQO+hytObHXoZo2J8IO0vy5ZnSQ7bUmOvqi0Pz9 JZqwK3V3pbHGofl9JGVh7zDUdzI4bwc7W8NjsL1NIoXPXrSDGfJ1D+wms0fz tUl2oN2aQcLmtRp8uphqB6PcoYB90nZ73MF0O0gN4VXA7nZQM/S8ZQfc/2Kl sMVdAjiys+1A5WOaJHa8W87n3vt20MpjcAh7yOPdA5Z8O7D/c10RW8mHLlC/ yA4+KgZoYKf6yR2JK7WDHXFt5tjfAtzpaivtwOFimhe2zonrr38+tYPtf1/F Yt892ZImWWcHkQmmG+tbi/jt5NFoBz8/CTVgW0eJimS9soPODIVx7NJYu4VP 7XZgFxnGguO3Lf7is51dKH9EB9Ww3RNq4/R67OCzmXUQdv3Fb4ZnPqHx7/U9 xA5OMRn6MYTeH9gggPezMy3mocSIHRToMlGwhTNKA90n7EB9TbQAeyCLbdOn eTsoL3sIOF/k72l27li0g/PMcynYSXkh13WX7SC3rW0cW7Pok8gzGntQSZvP xPmXVbLl+3d6exATElrFXi5XqhHfag+nBcsccf4WPcs0us1qD0eCHkkY4fra 6hwUI2gP4bpN8zj/j3dcVX4qbA/fzYK98floe9Ow6bu4Pdzr4BnFPv1B8Iab nD3c2Lx/FJ+nseHxGm0te0jxatiMzyeMccdH69nDrn+dadiZk3rGT4zsgfyf tTA+zybzhV9ErezB8kM5CZ/36rXj9Mye9pDwQK3RGjmB+7dxT4I9yNCpbsH1 JbWtbaTpkj1oyeUWYWdFZEZUXLWHZKMUCyf89/+p5qWl20PO8ts8Z+TR7Pg1 64f2cCnO256MrC7K9ui/FntYHyj544n8R+kg49hmByA5kz8HIzNM/7vzcasD JNQx5OD6ynarW65luwMYXqWjhOD8/HvC5SGnAzQ2DE6FIts21lT7HEDP9yqs huPvM309jzktB4ir/M0XgxxgT2n6fdYBvpeVql1CZs6e/no00QFEvjptv4xc OBK0fuayAyj5+P2HPe4Xe5T5ugPwBiWHJiE7x9ypFniA3n9b9C7uJ0a5vYX6 bQ4wsm+1Kx33p0nn9qROB9CYO5icgevHwfGJ990OsFpoRLqJ3Fy9uN+53wGu Rhx9k4m/F9tZs4OnHYCTMfYZ/n4UnTO8dovZEXK7fW3vI7fIvi/7yuIIPXy3 GXC/cw+z7z7A6QhtvlEV2Nk0PttL+RxBNElr6wNkLvbzCS+lHIEUCrn4+5Ne qeHULMkR6E7FX8P9895p3UxZK0fIaykUL8b50Nj1NMzOEbqyDRuwTxl8/kXr 5gi0jL/HS5B/OK4GcJ1wBI7tr/eVb9Q3eXfiuiM8E9pkhPv3Aa4dSYE3HeHn ztpW7GOFE0/u3nEE06JB9SfIP3symegfoPGLnWSe4v3cT1vRVu0I9745/H2G bPh0YHClxhGyfD39anB/MapkkHjhCGe3D/Zj84R62V9pdQSvE1tLa5EPtryh Ne9D6+sP0q/D59f+ocTZQUfQODPwCLt6Ltaq8qsjjNSXMNfj9XHLF3BNOUJq ZU47tqV3Jum/FUcIcsuWbkCO3OaV7b7HCYaG2CuakF9kQfv1vU7wpM99DZte judni5ATyLAe1GpGvuLwRkdM0gnSRMXeYucUyc3NHnWCGfuVnpf4vMH2XXvV nSC74iDLK5yfH8fVSdpOwCwwZohd8ffm9XJjJ8jkH6nHbjGhUQ1zdgI7Xu1r LchMI/2e+W5O4Bxa8xKbFFaR3O/pBIrfny9i92d7jqoEOEGM9AkS/v8DfnnY 4X/CCczHJU5ju7XtVsoKc4KBu6ceYH9b6LxEE+sEbTuml7Blzj2okol3gqvl 2/nacP3fHfvFLdEJ3kCPOjaNhpzcq2QnOE6rl4Ct/YnZaSkNrV/430Psi8fG z4vcdAJJHpdWbPZrNwcu3HWCK5YSdPh+t+0j+7vgPCc46fFmDzYNd1KrQ4ET +O82lcf+lhlXebDMCUqCVsgb98HBtUKuKidI2S0cht3PH3Z3/akTFPsqX8Ju ueeb9K7BCVo5BUuxn4+Oxde8RPEKWmnALhd2PXW/zQlqQhu6sfO9B4IudzrB B3L4F+zsQkvv0G4niFcQmsW+8a3L2fmDEzg5Nq9gX5bSt9Ltc4If6g6bO5Dj ApsNpQed4L3Z7E7s8HJVjd1f0X7/PrUb+/jiEyW6URTPrK2C2O6KsodmJpyA piJDDNs+vOjAhxkneJstIY1tViPMWzePnu9+qYCtt5bD9uCnE5wu81TGVlPb s/Xqb7Sfj9nVsOVjr6+H/XECinQXYIs37VxyXXeCZ3kZGthcOvQjslucYRuX lyb2po7lt/Q7nWGTQ+rG86tMJ1pm2ZxBaqBbFXvBePb5Jy5nUH53cON941e9 Kl7wOEPNo0cb8xl8N1yQz+8M8NFoY7497I45KYLO4PKMXRy7zerTjUhhZyhs phPCrk8nXaGIO0O5C+8e7Kr+jrNGUmg+K25s2EV7tCMVZJ1hfms/I/Y9pxeB /IrOcDntzD8c76ThCqcFVWeIdgmZwI4XkrLsV3eG9UvNA9iRHvkGTdrOsHLI 9A2219Ttw2nG6H3VBzb231mCWyrKzBnunAvNwbb0T9nvaeUMDrlMydjw/Ryr kpMzPCzg8MdWlKNh3Ed2BrfTl+2xJUMj/231cAb9MEtd7N0rx2f+83OGpboh fuwfNLavYk6jeEXsa8H5PanRU+sd6wztYS7F2F/ijcrN4p1ByZT2BnYno3q2 0GVn2E6OpGDnsYhHtN5yBsY/53/j8yY1brdMn+MMO1jq+rCray+EaeQ6Q+iE +TPsFs+p0LoiZ6jzLQzHnnyeH1xRh+L5yWcBn3dJHxG/7C/OIPbMqhXXi0o1 m5nBERSvd3tysFU5Eo7xTDpD4+iJcGyTF+Pe1xfQeqpGRbADOB94XKJ1gSwl jjhcn8ob97uECblAsgG9MK5fyumWQ5UiLjCkKbmC612zX7zTDwkXaJdi7cT+ wD3q4C/vAh7pvEHYS/73bSnaLjAafP9pI/IRHkFzUy8X+DTvALieNgTv1RZ5 5AJqK2yA6/Hqr/lk3hIXaCzjZseWj2gYZK1A433ZN/4cn9cYcshajQssvDW6 jJ18+f79dx0uYCBr14/rvcsDEbrT0y5wPNQ8HPeD9W/pLpMcrsAmua8b95fb UrGbR7hcIYWL7iG2UqD3o8+7XEHwMFs0dvBPpd89vK5Al98siT2+0p9Ut98V ckpSLuN+1cXAW58q7woHtw3bVCFnCeTwqlq6gsJ6rUAF8o6LMm0HrV0hn1mD BjvmZ9MJfltXkNbe/hX3Q9eWsY51B1fYmxiSgy3oJxHRRHGFqQtX92M/eFL9 UfeEK6gOsKjg71mufXpnlEJd4eZpzb3YCRf7JcXCXEHu2ctN2N5Oa2e3nXIF wzflb0rx+d+kIfsmzhU2L6l4YBebvEkyT3WF5u9L93B/5n/qrKyZ5gqe+7df xr66b2FM7oYrDO4LCsUOXGRT5cx0BS99QX1s2Uzbmd67rrD8RWQR9/t7m6Zv tN13hcP/Cr9gs/uf0niW5wrXYk69xl4ksm5mFrjCBw2mXOzqsRFdpzJXCKNd ssUWNg39aVzhCnV7V3Sw058yZKtVuYLoC0MF7PBLYkt7n7kCITHEhq0sE5BL bXCF7U7F7/B9pDCThvS+yRX2i+1vwt5Dn/qn+aUrrLWPl2Ovfao0z2tzhRdy Ztex606v0nh3u4KsUZkT9lLJ+EJcjyuItXqbYkuP9Hy98wHN/2KYOnau/qOG 932ucEnhpjD2RS7HWGLYFW6LDC8WIb/U1wu0H3GF2u86U9h/T8u7ho65wuhN miHswBFmeDSF9l/veBu2dWndOtcPV/izRe0udvJIwbzMoiu0a2lkYLdz3fhi tOQKNmcyrmIfjTr+Im7VFeStlGKwT5bal9xZcwWdzNgw7JIRneyn/1zhjvKu QGxBg70xc3RkyJyUdcN2jGIK2LqZDPS5lQ7Y10t/O+/fQgYFrrNW2Izc3Wr2 TGQIi9xkgK1h8FwqdDsZ9HkqtbBPR+XzJ+8kg09nMYE9PxL77xU7GdibYxSx Rbn9575ykoFcZSmL7WZgN/SHmwyxnEFS2LejtLu4eMhgrvxBHPtTqUy9DC8Z nkZGiWCzjPIVG/GT4dpBv/3Y+tzbsrwEyPCyIHsfdpzB0pU4QTJI6nDvxX4e RY26s58Mj+16eLGXSrv8nwqTQVSlmwf70GiN03tRMkSps+zG9uZ+aDwnTobV lync2PcMrqluPUiGNxOWXNicZb58hAwZDg5lcWAncmv9DVEgw72BSXbsP1G8 nwuPkGFiTXLj9+Oji8+/qpKh0t2DE3vY4M1tLg00X5nLG+NbluWdNtIhw7uz tzbmkzSa4uelR4acxPCN+bZyRzvGGZAhLfIKPzaN4TGjO0ZkyLvTL4CtHG19 9KkJGdoVHIWwQ8o0JN+TyPD7PIcwdvGoFO+cOVrvR1ox7H2GW9aEbMjgFx5+ CFv+o2YPjx0Zzh1u2tgPHZfYfFYH9Pu1wxv7dezEiuW6Mxnq6++pbuzvXwWJ JVcyPHFMV8e+mhBMO+uG8ke+Shu78tbM4wFPMigdOmaC3XJANP6dNxnOCNBY YPeVuNu3HSPD28nnNhv53/yZofo4Ge7H5JM33v/trUvKSTK0+Sls5KvtSWbF xHAyMFQunN6YD40+c0wkir9IV9zG+zmanvpFk4ErYjZpY/yjlax658lgJ1iS v/H8lYzmf9fJsKLRPrwxf+6PN3+lo/0I8d44f0l3WQO/3UT7G7TvO3ZF1UXe gTtk+Fk1RLNRDz6fDq3KIwNvXdg+7KtSZBG/KjIoxhR7Yle+FbvU/4EMTJd/ rWEnCzXmrX5C+TaZsAXXH98w24Y9/WR4pLJ/ox4J7k345fSZDC20ESLYV4+P ulDHyNDx7Lw59rHt2fIzS2RIlesuwBYw5Bha2+UGPxq67XA9Xct6tMy3xw2y DEvdsXt/aLATfG7gwJsYgJ2UGaR3Zp8bXH299xz2n6mu8s3ibhBHO12C/Snx QsIOFTco767fhOv75ZZ/0gJObqBxgO0+NgSNy/C5uMEc4+oj7MU9XbI8ZDeA cx8qsR2D7shzeLiBUrV1C/ZB3qNKjP5uwL2YNIndFRRBLJx2g/BX78Rwf4lD Z3c22g3UdxXLYCu26qlPx7rBcHLEEews3l2ao/FuMEkzpIcd0Fqt03fZDV4r ffbEZuFbNG647QYts0+ysV+2/mdSl+UGYRKJD7DDg5tNa3Lc4F+z7mPsr62p ZpW5btDJdr0GuyxYxiq/yA0E470/YJu3HXdMfu4GXoKP6HG/ZDhh7XSl3g1E P9tuw67hU3O+2OAGq3d+7Nzorye2u8a/RPF4MM2D/YOviBLe6QYrWxcOYV87 MXXMddANXlX4WGPz6EQGWQyh9Sm8tce+t4spXOerG9jrCLlgl9dJnpMcdYOG 2HQv7O4tgdnLM26w5lIRhm07QPNgZtYNMuyST218/xalFA3NuwGp3jEGe96s 4tnLn24QfPjleewdt5feJ/9xA77Z7jTsG8cTBs7+dQM5LckMbD71XcMn191A aCTsFrbk+JE5x00U+DMzdBfbUDqKUYyJAj+MPj3G7qHbsZN3OwX0Ch6WYtt/ zOLcuZMCn854VWAfi2wQ/MVGAS/FiqfYiS83qTbyUKA9LboJmyU9TbOSlwKO Na0vsdN9Dhg85KfAkwia1o37yQ5dmyuCFLhgqf4aW2q41yl2PwU8nui/wa6u 8HY/IUyBbg2Nt9ivbC8G2YlTgNuN/j22kcSecCNJCtiqdn3A/vD3UTQhRYH5 t4mfsEfvvbl0QJYCowXd/dh0sywPvh+hgPOuki/YrKmyFb2qFKCZ1KViCxy2 bKhTp8DyzfxRbOnB0Df3tSnw3rBnHJs4kz5wQZ8CAntaJrGdXw8sWpmh+CSy fMM+zcm/U9COAt8ULs5tvG850pP5GAVYV/d+x04Y6K1biqSA53axBewOw/NT vmfRetODN55nrpPnHL5EgRdDv2ewi38xPdqTTIGmfSHT2KZSI2CdRgETmeaN 9y941nxKzqAAv834xvxSs1P8Xt+mwNzg0Mb85fu86RjuUiCcuXhjfR9ZIAPy KJBKttq4P+6Km2uuekyBg8/l/9vI95pXdgtlFGhgDujDdvh5e168mgLXpRM+ Yme5G+7JqaeA1gGrjf2YpznsWddAgajpyo39gjuCZQNNFHi+c3sn9vDHFR3O VgpU0Dxsw96vmx988S0F7MTONWIXiG3uCPlKAZm1LeUb+car/sefitZ7XmAj 39Z2Rkl6jVLAhZAvxjZZWkyym6QAY75xIfZi06iF2gIFZiwM72283/Hl5y00 7jCnnJGC3Zd09nvmXnc4qnns+MZ+xL0QTNvnDhM/RP2wJUL/WFwRcgcpn3Ef 7GiHE9UxIu5wY9XJY2O+opRT7ofc4deEuiN2QKPGZinCHeQezOlv1ItF2t2N zu6QVVR3AHu5NCNp1NUdbGdshbBn/A/RM1LcIcJ4SWDjfE84zpt4uUNv7mFe 7Mz/nrwaDHAH3fqPbBv53+wfvBzrDjxJiTQb+RhLP7nnrDuIdRn8w/WKXfWW E3HOHeQ/7lzDXq5u0zt/wR0OkO/9xm4qFNrLkeoOT5Km57CtU/tfH7rvDnWy LEPYeqaB6hZ57hD0eNMgtgrzlicnH7pDdepqP7bAefl7dY/cYeDVj4/Y0xFX ww0r3WHp3O4u7Giy9gGvV+6w7bjvC+xA/sHMi63uwOrwuA6b8l8wS3E7+t1n sXbjfVY5fxbfuINOfcpTbDb9P+/iPqH5SjCWYz+ULovOmnAH6+WBPGz5VenQ dzPucG5k233shuZSX/oFd8iYNczB7rMutT227A6LQjS3sN0FpE3vrLkDbUVw BvbCVIl2N40HnBL+dR2bMapEVnGrBxyNFU3BTtM5JOaz3QP02vuSNtbLUrL3 NqsH6D9Pv4ytdL+YmY7HA55n6CZu9Bc/qU0K/B7wQkTjPDZJsXjFS9ADMrQt 4ze+l9ofj78R94D6d89jsRdTD36mOeQB/1jZYrBjHR+/l5PzAJpzp6OwM+aL Gm6qeIDcw6RI7NK4osfrmh5wMHYuDLuNsyjTw8gDGm3SQzf6V/6jhNeWHtAc Gn9iY79VHoXIOHkAo2BZ0EY/fFtITvfwAPfcXYHYYm6FJn/9PeCxVvXxje89 3mIviyse8KDd2Beb7lNZbEGRBxwf3LLh5XK5K5bPPcB+z/CG565W3Vx/7QFG foQ/9qjf4QeF/3nA5jjGAOz/9J+VW814gE/pgY3384SyUs3XPEBQ5evG/Gxz fFhJ2z3h+bMtG+tZruIs6OL0hNO19eHY6a8bwZjfEzI1Lm6s/9PS7kCDQ55w 4JtVNPZJ5pYt7Yc9QTzNbCOenILB2brgCY2dtnHYlsYdXVpmnvD3XczGfvTc jzxInPCEMq5bG/v5gcPb+eApT9gV4J+M3XvO6uqes54QbqyUij3oJf39d6on CDtUb+THmMR4ZWm5J3j9NLi9ke/bG7muNHlCm7f9xv1ibv5WuE+PJzSrEfc2 1lNhdlTwhyeoHbn7EPvmh9DXxbRecESAvxBb+ddNexVWL9gbc6FoI16c9VOt Al6gfWCqGPu0IjXcUtoL1oc1yrD5bBgYhwkvUD95vAK7Pkw83d/UCwIm5Kuw nTNMhFedveCW5v1q7PWnwVXnj3uBwa7WJ9h5IY5RtOVeEN+Qu3G/MZTW0T79 ywsYFk9unL+trcq9J+S9IePo743fW50O+fie8AZrjYvPNs7fwajzj554g1Sa 3sZ4CX877s/88QbfmYLKjf3tvfPm119v6HVK3XBxaeDv9XVv0EmM3PD/4chf FA== "]]}}, GraphicsComplexBox[CompressedData[" 1:eJw1fHk4ld/3tqRSaEQlJEpIISLjs8xDhiPzcDhmZSYzmQpJCFEqRGVIKEMZ olSSSpIy1ofMUZxjzPju7fd++6frvs4z7LXXvdda99r7ccjW46wDPR0dnSED HR3+nzdxJTeT+4tCqw4X53XuVwpaL7boDjvtAKc9N1KoeVTiE4vkVgYyD2yh ozP4LrlKKCWqvszTEwD1u60aDOwLhIPIIosYiyg089M7HZ2eIXQEHajs6hLw QlZ6lI1lmnjaHur7/vRp+HqMkdjLQiNkdwuVMITJQfCOvKrgq1TCaSn57gNT gFbVW1lHg6iER+OIeImOErw4ZuB66wGViDPffGTFVQU2XLKc+DdIJezeBTuK OavBorXNzy/MNOLVlv36LmYa0L3g8kl6H40Q2xWeNnZBC35oNUUG7qAR1tPy wrqu2pCnyjkutIFGZGe+5Zy/pgtK/x5t0J+lEk8TZHrazpLgsZ/c+9dTVMKn Wp50V1sfXj/KC7tJpRJ1zQ9oVyzOwobCpqTBGSrhrC794pypASTEWTe+nKcS t/PFKlzOG8KIzoyYwT8qkTT9IsLT3wh+LhW8tkV4qNDXz9nbGBZWvd/VL1CJ 12rJNyMjTcBrKihpBd1Pp9f9KzHcFI67ZnUlIbwGlRuyA83gh1HVBn+EY/bO 67TFmMOZ1YS3qQh7mNs1zEdZwL3d7v31CPdFSNgTNyzBX1jgZz/Ce1JudV+5 RwZdKaHAPwg/2CkU+O62FfA1HUkfQ/il90HVo4+sYbH4mNx/CGfyZHPKG1Lg 2rn9f78j/CJkkc65lQKcr7xH2xA+dGbLMp+JDTBnazRiXP5Z8GpXuw2MaUpW tSMc37gqykO2he2R/vQdCKf4jJ2n9NrCNl5j9U6EQ9i4d/Ca2UGlYMENjAsE NzVf6LODV8/zFTDePLNh/ysre8jt4anD9+eJPrmYOWIPe0bmTTEWtC3UXXFz gJadHyQx7tGsemo07gAdz98rYtyWG3Sc8HGE3NqTZIwXyvTleGmOcLnyvS/G a8+9K6LdncBGczYE4zOiaqohs05grLIWhvE7ssg5Fx9nmDKaXv89ZqU5d3zJ GfaeKvHHuLjUc35tzRluycas4+brPV6jTmuEttpfzYHdvwielWd3ViT3wefr /c5bnq0QsS0vBo2MDwP/8W7xz08Xic3znH8ZTglD6eb0R4/U5wizopI1PqGT wPvltVTTj2mCLsxLfIqQBBdXxrZ9QTTCb9pg94iFDNArpwWU11CJSwwCs0dv KgALfflimT+VGKe8cBYyUISN43fbLdD6CdnpL2xMVoZ9Bcyf9zdSibmdr1TT z6vCgs/OPp9lKpHs1GzRQlGHt33cOx+x0YjA+I8+Qk6acDT7b/lthDXorftv e54Bj1SeGmNGGkH3PuI+b6gOiN7cfsNxkUrQW90913JLD/iYagSO09DzDtey Pf9MgpJU17s1aL3cbPC6t6ddH4w/Z1Ydmkb8uzLZ8a/rLNxnUxK9MIfuDzhV db7fANiuRik1IP6zt/gf+DtlCAMt1SzhaH3IfN4fMjFjBGfqPzQcQLh9ISrG d9EY9kW4ppqi639pVcpf2WAKSYw7j9fi9aKhQdu7YgoafN5CwQgrF30/WkVn Dr8tdSUiEF46fZxxaJMFCHRmxBUiLPD3TMptZktgnmaL/4pw0DanLPsDZLAY u0z8Rrj3S39BPrcV3LasfjOB8NNXh639+ayBV8A1cxDzZyLdepSVAtnLe3O7 MR90PyWcTaaAUduMNeb/5ED46ts9NnA3tMUJr4/z126+Xr1hA6efvcjG7+M5 w/pzeZ8t9PMA9RvCO7lmdF7esYUDI6NvMZ9i32yUf8VhB0vjabF4PSRnXXf9 cMcODrhqBmDcmRBFzThoD/Mmf1fw9cbJXR9Ecu1h6MWlKIyd3z8e/iTkAHm/ xgiM6b8/CS8ocgCGn1dPY/x9br+nlogjHH5C6GE8dGy4vPSpI6QtDJ/HOETy V4ChqBMkNt4NwvjBBcvQDU+dIDTw+vr62PpOpsNHwhmc46Iurq/P46HRj545 g++82vr1HB13P82uOMMBuL2+Pt7LRFVNOE0SoRvj94/NtRO//vywCZjdAwG3 jDzuLM8TQn//zRWZ8cLkXtHwXLtl4rCymImxkhB4H3DuPcA5T/z3pz268IAY FG7X3BlpNUPwG7okRymfAvbxd+budTSCdXBU2VRLGhQnHl6l/UclKEyCZ9Ou yoMDH59z8EUUL04IbBz9BvDnhPRdrQgq4eciUhr5TQlCHxktlleg+Fdhd6p5 XAX2GJdfiUbxPWgvX3/YoBqIO6Xbc+ymEVzN3r+0+jTgd4vHh9C9NKL2ymRN A00LNpZfLFtiohGiP62dn89og8Et6/SMFSqhf1Hs9a89ehBHbb90CfE/xyw4 QPU6CRTnlCh30fqIrusIME3Sh6a2utd6aP2MFmgNvco4CxKMOUFPUf6psJaS /X3HAB41yVTqIb6b1hiOFj02hAdysf4X0Hpw6B+/eKLSCGzayriU/2G+Lq+6 VxrDlZvm0VfR9W0ah8c3NZhAh7ipBOZn+Jnrv7/WmYJynNuNKITv+TWmCr8w g67mIwlBCCsK7H7U02gO/vu8wrMQ1r7fUajZZAGHL2zWa0b4eOOnDWc7LeHR j6/1wwgHPJVX2t9Hhpzeo+E4nwifO+qa9Z8V2AYES48gbP3wKH3Ib2vQ1zvX 2Yvww2eV39R9UP6oPRqF+W5c+mKNnUaBzAbbGLw+1CY+W1/3swHGQUkBvD7O s2RJjM/ZQK3GdhN8fYtXIDEVYgs7tONdMZ+235n7mrRkCyYZy+54PcR0d7yY C7IDhmcFVzEGyzc/ttDZwz6JF9wYn3jt5r0Qbg/bW0Wz8P2MoSUnJbei/JGb pIUxO2exk8E1Bzi02389n5hmn9tFYnGEhS5tDYx7nUSp88mOoOg7ZIexzOwt c9ldTqAQUR+A8TPV7/5XbziDpmdpMMb7Xgcp/7m2BZLpq3fy9Y8RZObkjsgA Tti2KnQpJ3CNGCqOaFs9yw/3i/gFX6j+I0YLGS+XHT0BCrKJFqeuzxJfz8cF 3D0tDrEWT0KZ3KeJrgL/dks5KejPyNU8TdCITvr6Pl83WQgLs3pWn4Xy5wr/ zar7BJwQ7K266EclHqecbXFtVYRiOammknQqEVVRly84pAxZQWl1O74jf7ly G9uPqQL/A5U3KZtoROEzr++cP9Thl+Cl5IeI3990+Tdt+6sJJ0ezdLsQ/9uD Wjb7/j0DLno6u58w0IjWsty++E26IObzgjkb2dudycD4YwcJak4oKqii9RM5 ufxUaLs+1DdJHNmDsIJzarPYfgO4OHnm62F0vW6SuNT4EUNIa/Gw3If4+7Uv Q1dEwgguvHq8OxDhnS/UAwvFjaHr0DeJScTnjweZdoYomECY/kyTAMJUbY0k ZkVTEKN/8TwX81tl7Z+FrBkEGRnz4/poqH+4WlXFHBpFzonEIVyhqeHwV8UC zszp+lYgzHD6ZfAfkiWcJVg9ehBu1KWT97ciQ/QgzRvHe6Be3nWabAXNx7lc xhGW5uA9q+dkDUHOOWO4nmrZzFmXLEGBbRE5DzG/KocG1MlPKGB7zj0S8zd2 r8rKhVM2cLB6Tzjmd+IJm6OuFag+WuwUwPnhe+yVmO2ytvDf2cJwXF+dbXK3 TKq1BZFW0R34efR/dj6kSttBtM7nVIwz7c8cyK6zg4kHP8kYe7xS2nSCsIcO 6bM/MN8u2qgecXprDxfvfHLBuImtKMNB2wFa43KkMf6bWHFr7YMDcOy7IreO J28HnGtzBF4udS+M6/yF0t30nCAlrX+dv03xbRqzTv8RSUdvcwZKNBEqw55v Ktp3wU263yNpT2eI5ZW94aYWh8A+zgQ+664Q4udqmNY0BMFLh1WhLWWeyElw anZLFUX5jIFy8OEMUa0wqqjzVgIaBSX4nQdphJ1lWW/Sq9PgYSP5mYziXUtC QbjOJnkort0fI3QJvT+V3KqWDlBdpvyJFEolaDeZaDevK8HapFjB9cdU4gjj qcd2RSqwk6FczHOcSrh7fM41fagGDqU+TcWovp8cfbu/544GbM++MsuA6n+/ T1KC38u0gMVw9nAD0htNo7paUaXa0GbHlGq6huJZwtLkRKsutB+hTFigel5o pluQ2ZsE9xpaSXkoXofUxg0GuevD+4y5uUnEZwOZhfEjwWfBv+1ZsTYaf4LB 6eWCIAOQ/numngnxc1HstS5zvCGUsd2ucER8DvptGP45zQjoZFR2GyJMUaiq dkk1Bj2pr5kP0PXN6j2KKjkm0DLtpoD5Bp8qhp9kmUJHaceNKwi3Wiiccbxt Bt1SFaYBCA9mXVo2zjOHQzdyd2UgbBV2t5LnoQVsj5uXfovr58MbypoqLWG/ r3QIrlcac1wSvrwkQ1enYDqO16O1+d5lL6zgIZ+G9yjCSfG5uV+arSGOTXLT T4R5XY8FNthRgD76rQjmZxy7ZTjRT4GVc0ol6/X+7fHH3Y420Nw3NL3Ob/dB 619DNnBGUZkRx+vjnHKnGd1sgfXWg3X+tW7xzFoYtwUWlWnLdX4vBDkyn7eD wNX56xjPNAwaKEzZwTDvnxMYZ/Q8e9vrYQ/hpSrF+P5O41LT8wuI71a6+uv1 he+uX2eXHaCpY04F447LRokHohzBkvcSBeNb7b4fijc4wYCo23r9saoqUTeV vRF67WdZp7qGiDqGIzIvTTjgT0HJhPGRNaKyLsui0PAI7BKx3DYw/Y+Yb02W tjxxHFIK3+ixjs0SaUxctZQnJ0G4KuU0NXeacE2dieKvk4SepyPboi1oxNHg K4HFgzJwvKs6qLoI5ZOIvEZPbgJil+xXvVA81l6Muf3huiJ8tmPS1riO6tWB jN/EPWU4n9zMf7yFSlyvm/y0UqAKAzZlZgTSo5k7uG/NZqpDmJhCVyc7jchz C5TLKNSEoEs1ymdZaURCHfuF2JIzUGQi2x6xmUY41yU3mLzSgTOzAl0ziE89 Ol/l3vTqwVJpx5tHiK/b4iztqX9JEHLIbKIP8Tl/QfHLjX9n4Zor21ALqscF LkksFG40hIk05tYpdP8Fk60VCbuNgPPK8ZKLiK9HGkuDzrAaA7Pol+VNCJPi 330I4DSBJg4mMUDX/z6zNqx1yBR+juwiSjB/G/nmpDnNYDT6VC7mK+s7K68w XnNI8aj1vozz66vqynNHLCAz7My2Upx/90THvDlhCVI33R9hf2UXif/9I0cG ad3pcLweEvrLyFPyVsAmaiGI4/OcW66pnao1yAaWqgwgPPyvK+HFYQpoR7y5 04XwyQzT8Y57FNhw4c4ojse1ob9C7x62gReH0t0wX5d/hPhWPLCBK2TlAfz7 0ljL001CtpC1eF0G8/2Jt5hRfpEtcL9Km8DjeWsa52UmZAdPrxBJmJ/7Iv++ rnhsB+fl37tgfFjALthexB7uGF39g6//HZgYcKbcHoJvMq7z7+Zk0ctbsg7A tVt9Pf4uPBW/ZljrAMuvTGTWr2d5xX6twREu3jBxxzg9Xddp8to88b1PSVix qpeImNVak2Fnh7L8bXGzx5cIs589bhtM+YCURXeEP2qJYOPKy3ksewycvgx9 qno8R3DqKCmP5IjBt1H6/J4DM0TKub+/ql6dgrt/26QZb9OIty7cjw5+lYYN rDHPX35E8TUmn++/XQowOsReYR6E1vs72qkrrIpwtEqNlS6aSljYJb8QPaYK 8zk+ORJofNH1ftx5vOoQHG3Zuhfx8cyjg4+q+TThv1v/OB8jvt786hn957QO 6N6/1zK9hOKpu1Nap7EeNDWF+Tejepej/sC7i6Uk+Fzgcfs+4mOvi2SQUL0B +IwkJMUjPj1TGY7Q+WwIldpWTSGYb52Rode+GYFBD4+sKMLdmm6p7/pN4FPo s3Bcn7587/p39ocp6Nj/ar6IsPd13Z+0n2bQkXcgLhTXa+93ZXn/toBjzzPZ PyNs6JxB6vlnCbJV44U4/gk17JijrJFBSCfyNI6PQhuVTn6KpECl9eNRnK95 tQ6G/aW3gc9tix6YP51y5bs0olG9epzLFvPH412lWmc8ind7VG7/Xz8hlFGQ yQ7uxKaEYn4wv5Bg679qBxHSG6MwbijkO8iabA8Lf/4k4etP5xYz03M4IL4/ Xo9nfZpMBu05jtAeZO603t9gqxt7x+MExNSHQIzF4FXTWBATLC5+TnM8+5dY 3rN2QfUWN2Saxcc2bVsjWLPsNA30j8KAEMfcv4cLhFr94uGUainozpCa33+E RsTFzajLz8kCv7XxiSepVIJb/qtEBBtAq0jyydf+KP/u1/nZLKAGep3GZI+t NKLS+u0elQMa8Ld/Iw8HyqcbRb9+ChTTgsssqdzSu2jE6YLy1VeauuA93SJ1 DsWTxrQsqokYCZ62d1otIP8uGt7dYH9cH3bSebeRUDy6cOek3zENQyh+fohV Gvnz5Hnh0c9GRpAdkZflgfCCznXpFoopPDund/MW9m9D90qouRnUXJ7L9kOY Zrnowe5jCX7xgd9wvpqY+niVLpwMgUxu+7H/aHSmb8NCrCBvv24C1vMyYh73 f71E9VnAmePYX4ZPHoRoqyF9vm9XJvYnjavILuCjLch9JB/H/iEi0ruvaNqB DF9sGsa7NZe+RH63BwPxVpv19Sv76IIY2QH+LXZJYTzoKvWwsMcBZiSZ1vX2 9Be/btVfaD2H1flg3Cjq5bTZ+TPBk8T7SHWumrhgW+1r+GYneAZ0KyfwThOD m/JUTvTywMDH4Q3Jb1YImRA6R4OPArA3xfNNzNd5guE/UdfPJFHobRni/Pth hmAof7j/ZLQEgJ+nleMC8ufNfYLHQ0/DJ78P5yfpaMSl1rG9gg1ycJ31V+Hd GBSvNBYk5/wBbn3u/JYdTCVKS/7tvu+hBKZOpKsJBSgeP+E6VxqvApv0R/1g lEo43z6ySTVGDUiOH+7rbqcRpgEep/iCNcD8XZ6UEPK/4WTPf9apWsCQzrAz G/3O6q5W45ygDQvSG5wI9P74NMpm7xJdsEvsftmG6in3V3GRHrYkaDbSOlqG +BAga88RT9aHOzTvPa8RH2Lp9SZNXM7C57rbvftQPRX86XnvlXMG8HcvEw/W k1puixvkgg1BdVtOKRnxY5PH1g08MUZgX/z0uQXCORfS952PMoawvfKVT1H8 UHsn6WaXbAL9QrHEDLqfZ3vTIE+SKfSfL9x+DWFn3SD+qDgzKB//koj1QmWP /IPUdHOot1RyTMf5xDVcjvmGBVR4Bd1owP5sy2BieGgJ3huyTuN8M5ERWX78 CRmePWJOxHxrdBzzfVFkBf0Cd7bgfmp+mM2F5WpreCRdkIX5SWkcal6zoMDr XZ/jcX65r/no5ddOCny2yHm/3h/y+We4ZmUDPxpP9GLMezBmlvzDBgLJNX04 /lh63ZVgdbAFnbF0bsynpy+ELwsP2sKVnoyzmJ/10R9l0m3sYEO0wLpe0J2b STAbtYOF6R+SGLeOWE7qOtnDnDpHJb7/5etSF4Ype5iWZDDCOMjaQat92gHi Lc2VMW5ndbY6HuwIJ4u7rDD23nI92LtwA9RuryoTow4Qk+Hu41bq+0GHt4vN K3WVyGo8wRP+7TDUPPq9T0R/kVgd6EgpfSIMCpflKkP3zhELFsPkBreTsMX+ 6gHzl9NE5dYyC6YwSdjJqmpz+TyN0H32961WtgzQWqNt58qoxKeGEbJ2jwKY ronXj6D66c5jXvpgb0V4LGVvqJiA9Mq/WKYzYcrQ+cXBUKCZSrxx6ryiFacK NtoBBqOrKN/KXljsD0P5aWYrSRflo50rvKa/YjWB58fuCysoX7n0VQvtTjoD Q3IZDK5baES5cpy4fJYOdFiznChEfPprdNpAs0YPdrCZbB1D/NQ1YX5h+B8J Lob+TPqI+Pvz5c32d2NnYVffY84cFO/YVss742gGsDIx6dKN+Pc2GZzrNhgB 34czE2HoeaVaDku3GYyh7lTxpl0IJzc8EPRnMoFbpVmq2uh6xw/mu8/vMoV/ esxXsD7l2SI5k89sBoyPq98EIlxUlaF9Z5c5FEu7KeH+jdCKj3UemwU88D+t /RjhLLpzLKVclsBf+u0hrr+vWXxSExQmg5Oq428c/yq6mqO0T1jBqZUnwbh+ at87aOEmYQ3xdGw0zGfv6dPzbZwUkCYOcON+kefMbnm2DApoPuPlXderpWJ1 Ypw2kJ7BeA7zs6wijrP7rg0cl77+CsfThAwvjYhDtrBso8OO+d33Llm//L4t 0jO1XZg/D7erm1zjtYPPF9riMR+/7YSb8MAOjgjKemN80cKnMuyoPTi7Vc3i 63miJXJePLKHhvDDoRiHWz7+Ki7uANzxc/IYj975OpRZ7Qipm0rW+0EXORh/ 0bKniW/t9uZ8E53EU6/U0q5NbGAET8tzs/8RSsPnT3Z08sIXtuePU6lLBKfo xPKGeiGIs3oo/mVgjrh4l2lIw1oM6uiCbqTJzRC9P4uqMyNPgW9YXeX5Ihox kRc1X5MgDcdJFRV7vlOJgvej1dUt8sDyySlKJgTVI0HX7pyeBVjpr5FKjELz wRwcGMqkCvt9Hu92QfEvfPxjWMpGdcivc7jPvwfxTeZ9Iz29JnxefLCXey+N GDR1nm9j14GfQzv43yxTCQW/j0XkU3rQfcOnm28a6bv4Dwd/ZZPA3ZL8NxPx r2mo0nxbsQFUJ//e4oH4wxjOdSq0zhDm5h6p4/5Jt6XU6o+3RrD7xudBnF+N 3zfVD38xgfFCERHsv+xtYRP2LaZwdeHYNtwf33YprmpHixmkBX+ewf3z15Uz h626LOAZQ3ftR1zP75UoYB+zhFNH9F/ieKxfzc/5YpIMe4MO2eL450xejtoW TIGtMkXimH9yoe71kYsU0P3zNHBdH7I2PHe9aAO73C+rYL5kcu5THrxkC+E6 rpew/4SHpf9abrQDHvEaP8yH5jPRYy5RdnBP9G4MxguVTRrRV+xhpWwmfZ0f O0sO3tnlAD7zkeoY/+zk4h3OcASy6l0HjO9v4I52ubQVGDk38nJsmyCEkzT4 B2O54HHg110nDdeI5Yc0FsE2fojbYUuJnVkgkiSqlv2DpaDf/kDgoBiNeNJo ltr1RBZilrZwLt9C9UHNMN3PEQJI4/x+SygeLTacyti7VQ3ujpk+S0Lxo/Tq AV/RZXUQXN4iN4786VofMvZqhxbce//9DstulI9PFHnkHdUFefHUDjocjzna QjJ4SBDFmlx8APfHeHXM33Hpw3aesvuiCNuwlxkzSRlCZm9ZoiDyX+QDu9tr KkZwk7HkI+7/Xvg0Yf+HZAocrd+DM7E/N/5ZmtAyg1zO+be4PgrW+jG7wdYS puRnj/9AuCvLcVDWg4z0helnvP73/3Mf73G1giINFTqsrwKuCs4drKJAwsF3 Rtg/7oMztX3yNnDuTuW19Xzkw0K59MYWqj58We+nahhlL818soc/tfmOeL7P XZw7+O2rA2w2e7W+PqcoVwpMuh3BfM91b4zTYK54+toIcX9qjOV1XSuxV+fc mJeGPFwLdP99MAK9v7/hXHolwIHv6n8lwpB9yoFKrm/VwOvbh1TaThoRbca5 mlynASVp27k/oPm1j07rcqLpguSM26UJtD6G+Y99yY8gwd7Wv5zZaH0UzF29 3XvHEDo9BjXdcb8lPndUqcQUhFy3uUfjevscvadmkRkEvzpoFrjeT3Ayv/bO EmpFJQuGcDwtNHT2bSVDkdKmZMxvzwFmeDRGgWF+8Vt4Pib1y6reTNtCTpWj I54PlXOCyRHedjAgwpOI8dRYiWornQNsCfqqg+1PiO2JPeR8AMbTSuK13dcI OuLw8d2CsuDtUGyz+gCNj3ASuWFDADtr8pQe4pcV25bdT96rQsQT+xsBG2nE /YF3Ulvr1CGu0tvyDLK/SdWdn1jVAxW6P1K+iC+NtUVMCaskeNS0/xKut2W3 le/9wGoIf1X6fbBeP8zZtsGazwjWjuyzw3rK/WNuzTExU5Bn26FXgOuTy7sW mo+ZwaJH4htcD5Wt3LrxVIcMjgP3N2K+OI3dkUrVsQLvFv0WzJcZIvNWRgEF 9p83L8N8ydFKkd963AbcI/R98fxEcrWa3im3BUFGn9X1+jjn09UjJ+2A03k4 Gc9PaWTR4zVlB3AR6ljXvxMXi9WDmx3hJtd/HhiTAjfo3uHfC+xb7xV/SFom ZNWc4zcaKUAB1cq5K4BKxKfwvKhWVIdTp7d4/EX5/NcBv0RvVU1QbGKdOYby PbsjfbhBgB4cf+GiEoD05neqi/uBlySkZxxkitH8OG4taeHqM4R+NmIzzs99 seZT0X9MIf6Pw/eQedzP3r3x+6QZvObbeiYM219Ft5C1jQxh5t1huL7b2Lzw mWGHFczHdG/E/GDc26pgzmQD85m7zq/Xc0EveWd320Htk0vrek/vxAAYp9qB s/vguh4kSRb/c+J1gGnrI0rY3g/pFa8fFhyEUtHNYrn5q4StbuJStowcxHbM xvQmUgklTvFze6QALhvKT7Yh+2vFPZ6ayGiA6+iDbRKoHq/d7ebIpkSC79Z3 D/Ug+2J5n944Y2YIrCzDVDVkX/+JWYlsRyMQFdp08xy2N6Jpbft5pKd6Cytw vKBTEhd/m0SGW0pt+tie5e/lZx80UeCB9S9G7F+Zi8Zyz3VtgOXgYim2b07J nknityN86mu9gMf/KqD4voBzPfEx8li38WAREc9j3cIntxPOcvSoutjSiM4r f/lv3eGByowHVPLqClG3iS9l5ZoADHb0RpyfmSckYtjk6UREoSxzg43lfzNE /t/Ll+87SsCnVKI0j36ayJQ8o7dkfhpuL321mdpMIyjUKwNp2XJI//8+EXYF 1bP3VH/rOAN8TP4o/SOISuys8cwtsFICfuH2Lcl5VIK6afe77yEqoCKxeT5r GPn/SeupGn81EDSp7EphoRHMoKKsfl4DviSXvcfzqUR3oub+JS1IO95tx7KD RlSLNvhYhGpD/kzYrXKkb9I4Uq6XZ+pCR/AcbSfSKzvzf524Z06CbbpEbzWa /7lFUgWrkT4Ix0UHP0brM9dxccrT7ixYNyq8WUX1gPe2fx//UQyAlLFJCNdX tG1pPV+90Xo9LHHPFPlH64mdokaYEfyXQJy1RvhNYrT6WJAxqPKehiqU7xli Bul94kzgmyf3zwV0f9KJL3amsah+TPw5loBwufq+1F2RZsDjJKWI13NmYEZg WaI5hFs4saYhXDjgtRYRbwH5G8/Kv8J8LRx5du+uJZSzKCf8wnzYm/DOogDl C/3ey5gPlTVX/JXuW8F2V34S5r9E4MveXWXWMBn39A/WN2HTDT7cphQYi5uo xfWf6EBb3912CpiHBXWu7+9Zh+fvsrAB/7C1Voxd/E1fHuiygSGV+Y/Y/pkD LSc5bGxBZiZ/J+ZTzj6mALU+W2i+yK6D18vyjlBhp0E7cHVvksF43E2EgdHO Hh5H7a3G10ssivp+GbeHZ0fmjNfrCWfCXLyEDnYK3Mjn2DBAMBJ7VE7U74Pb McPV6iKrRKqWH/34jcPwvilT0SdikYh0W3xp7iMMsUXNWeYic4QAw4cT02dO glwe6/hkyzRhoZL8LtRaEu6UNzrKedMIW6NDE/suyoBFdeOGt8+Q3huIEayu UgAzanu/kj/KB1s8K9psFUGyiEWmOZ5KcG2iu0NyV4ZTbjncvE1Uglz7ccQz SBU82ypfPlmhEjf0Dx4z9VSH585VX9bYaMSbN/MOmwM04XFwirIuwuZU5s0m 4WeApe6aST+qN8w3b54QSdCBVG67yC2LqD7qOv/zaqEeUGtiZLeheDclb38u uoME4mUp+fj80sJhle99/WdhcvdWratIrzDLzjYtjhlAOaGb1IL45C7aq2j8 zxAM3DUP4fMXs/H1sm+WjUClO8adHeGyH6mmc/SIb1cOOp5F1x++ypgfuNUU Eo93fn6O+XeU8OljMAOR3Gl3vJ+88PR0tdBWc9hU+UcyEvdPbreKN7JYADA3 jD9C2N7fvPUImyWEvRe+g/3PIM4x3chHhoa1mHSsV5qMvqcF8VuBuuj5ezj/ vHa9RKYds4a0encNvJ9x2tP50Y99FBC2F6BgvZJ4aGpIPI0CadERgJ9nq2X2 c2mvDSR7ra6fv0i4t8tz4pYN3Pm39QmOZx00pT0Ely2sBf23EfM1wPu1XnW2 LRi40T6v91/PHdHK47aDavrPcZhvEp3O9Jvv2QFsIflifMx3yeAanz28Vfr6 D18vy7zlmV+ePdQH6YRjTO2xz7pQiHTXo/BDK/PfiWYR6a0FoawgX3qcUG9d ICTPP2VVusUL+vwjn08KLRPZVduFisKF4OhdLs7itTmiWHWqIlBeDLaEHQtw 0JkhIvbH8++yOwV9Fe8ETStoBJ1aJVecqzT0Br8LpXZTiUu/Y6MFHsvD5eaD hbqhKP+2d+slDQFoPb0q5RRJJY7aeHTkLqnAp5wfB5cRP0I3BJRunVGDjRUf /+ai+tSZPrOdn6oBghObhUmovog7MFjydpMOVDOPZ51A/NRYXJXKPqwHizRf VQNUb9H58H3cc4sEqsO12fg8Qx3vvFbQAwNoVNp30xrxo5SrajtbpSFoerpt 80f84cm6rrC5zghGvjImKSDMesXPaO69CcyV0x3F87/zWKzLnUakR/IV1DBf jEMFjma+NYOtin6yWI/EHh8e+dpqAfUR52M/4Hj0N9yovM8SYnPblLAesZc8 KTI+QoYP77K9cbyKiesSFvSnQE9OlznWI+/Z0/7TnqOAmcHW9f3Y83SazGFB NnDEVFwS80HynYbi73BbOBV/d30/n0txX7/fmi0ovpxb16cCe0oMxMLs4Nmj iisY75G/TSYu20ORQPx6vzdVTUTwHIsDlBpv1MTYyvajvfAVRqgOiDdZpv4m VHT/XCyj44JPm/M5RF3XiCkhmamUZH7QKfraUMj5j5DwuOn820IKJuqLd4Se RuvfPr46L1EW9qa3PG65QyVaeqM/nmkk4OCD8NgyVB+m7BVakP+nChwyxZvT UD58fK/xwcMJpD86bhfh+pgnRn9+aFUTPPmksy4g/wpRjwpksOtC+HBvuB7W 35YuDbL7SOC7p/KRCMpPfYwPNv9j04f+eJX4QwibGkyrBZ8whBhLY+FDyF9C ymsX0uWM4A+rJQv258lrGYvLGqZQxMWz4x723+G5oMPKZhBdnPoX1xPwquW5 v5klbLvqoY/Pf5D8y5K6HMnAzBCUi9ezsG/Q6lYHKzjUfkcS15PpzzdnKVRQ 4L+6FJf1/ZhQzh+F0jbAnHc1GvurmkvBKu6lLbieP7wXz79dj/fO4vf2wOQl dg7Pd+jrEsH57AGCMrQwL7L0kaC5ba34j18eIjc4695E/OeR3ck1+RDg5FXd SLmLVMLL7LDPrwo12KfiKGGI9IXMISrTs8caMDzaHvcbzZ/7tvf2hf26YOyl psWH8nUsS1RodyAJnF+IHclFfD+betT3QqohSC04PT6P5qO1qMgpKM8UVkv/ zMeg8Vyyzf7RkWsGsz5CbXj/K0m7fPOxekswzophw/riKT8lOLeJDCYxUmmY ryshEhTfIQow3Hqai+3tK7pe9HPSFoyOvrfB9uaKnl1Wc7cDZb/s9f0nex5R vbvL9qBfe2X9/NZDtfD+qf844BhrL1n57BrB+sPYoG+zLEjVmWVoF6D4RNmy RA8E/Dj4stgY8Wfh3JJHR5UqNPBcqbCmpxH3/nk7hxWrw5H9EjvZkP1t77Of RPzRg7zE/IJExAfnXIbn9XMk2JFvZDiB7D+pPrNFltkQrhlXmy3h8xlVbj1z HEYgoy1RGIrmQzheX19WEOmLf99ki7DefcDhT3/YDKQKHx3D8yH0bViRpEqG M1tfvsH+D3LI12pQtYIW48FljPe4BStVPaAA47TXJ8wHkcFq8lcBG/iqtcsL zw9HE51JTqktbBx+uN4val95dJE4YQc/ZR+t7yc7Sz186JLJDmb5J8+PDS0R 7E6Mpl7iCuBEjXFOCKQSVwo+/BE9qQ77V1Oco5F+SBvQupsmoQkMKZ9C3JF+ 4PktwZTmpAfVtecDs1G8DOh8zaHznAQGXnGT+cj+7Xla+RUdhvArb3Q73h8l Fdh51A2Zwjcd93d4v4n/Zqmn/YgZpOnqOuD9qJ9JOvfl6cnA93v3Plw/sasx DJzcYgX+QdEHsf9vlM5bHd5iA/pjCa7YPvNvmWw7dthB38X8cGxP8SzTowNJ dpA3GLWO37ie2HiK2wEMLlmv92sHjcw5/Q4dBPfIhcQTvauE38SrQx775KBO 45D06WQUj4U36mnxA7xqtFJUQvqhSpNj4JOQBiTWXs8TRPXuK8PNRZXSJLjV VUo3huy7aE27XEMyhPO/jKQA2Rf3MWn7aSsjcM0yrXTF9uZ8uahmawZTdHL3 8Xr32x/+n20sGbg9Pkhhew4wJC+9fkOBwGNpHNh/7/ZetIzUsoFYC8k8bF9a sqrC8rUOQlNPpFuE9TVRUKKpXTMgBx3aUf3fL1OJ+6UZR9euakDEhjIZvN/0 sfvkd/nzJKg5d/JBERpfzmcrgftRhuBaPW+Dz1NzGvU+n0k2gx6ug39wvdvF 7X9v7TkZDpZ/SMXj2Vsalb31BwX4jIZr8Pu/N7xPTvy8H4zjLFVMhlcJ2j31 5J/LCuAz6yibg9bH7SPv37skqkNq893sNMSHwS+bmjZ/1APPoMFr79F6KPIs 38k3QoLi5JcG39F4OGfvJ/BvMwJOE2fP9X7vsLCvF6sZOJ8LO4b7C+yXwjOu SpBBoVLkNOa35t5tmU48NnD058i6Xqwsc7b34beDEc2chPXzD2WTJtsS2OCG UYW3pcsi0ZKvMak9JQ/sQvY5CsFUIurbIT2uPepgGhSVmrMH1QM+M89/7taE hfHrT0bQeGsf+PiU5pMgufuT8j00PsqvCIuhRkPQ+7lHLBiNT/S3r9vx76aw oZapH+tbBYUDWxPnUf78V6OL56tkQC3r+SoF5n3NL+DxyV21WFLaYgeK71SC 8PhY23I/se7iBi/3W2Fy4mtEvE4ux3MGFF93bDlsjOrfMl9PlWomDdiswm2+ CfnvQ+dpqX8CJHicfUdxK5q/7i1Nr5x0jMByl/xZbzyegYGQirNmECh3rAjz ybZp/+lMf8Snzpw5nC/6tT7dYVeyAQhIvIHH03Zdfcr9swbslIprw+fVVODr Yf8rJJh2DjyJ+6N0ZlOvVB4YwmMLxmte6PkTHvb0NeVmEKGg8Af7I/6EppF6 JxnMnt6Pw/YOaA4d7P9DgWyjN4n4+cP36ARq/exgSiHgGrbXr1lS9OzUAdhF L7B/MGiNuMT9zu5oFAH8mtLOZMSXvE+cW1I+qUNmi+W3YDSekIuSAu+OGYFH QVt3EHr/lD1jYIq4GXRdSHDD/JTj1xljNUb6qrNUHtvH9sSFixCzgZvzBkH4 /dPqkzeZJO1gPzstBb//dI3l7MfivSDzlKXPXXiFoBxpennDTwGs+QUosmg9 SzCxNoy9IwHtsqZfOa7HXPbMXh41hOWDsyWYj57O+l56s6Zg+zxsHtdTUzp/ ar+zW8FEcNIQfn9IaD530g4bkO8KdcbvDzz4S6SHHcUfAcFo/P52JruoXnWA ZAP/7gsoftZxvYno19QA68JKO/x9xbPWrzwXtEhQ+XGgpgW939OmPrzDywy2 K061Y3/GnR+OPnqLDEFvbzjh+X7GKHjQzbmEePfkGePWnZmE2JrtLPvUDkjX yKvyY0D558zumy0hPKA0c/XPR45VIlyrvKDNXQCG114d59m0QGj3xDzYxy0K 0ZuGBCTHZojFq741P4wlwG1EmL9ryzSRf9ne9pfmaXhsdmr72lYa0bLB/P2n RDl4xF+xPSgO1Wu6E68DKQDBm87lhQdRiZdQ5CJsrATv3gRI3niI1oMo89zY BRXotPDN/jSE8q0cv+6chxqMNIY1iLPQiOHcE1pdNhogOxe2JoXsr2bsEHgX ogVKX87dVt5BI5h307W2X9CG90eMsvB+7G1L4Q6jNF3YNfymTnSWStjc3r6p 2pgEzELnj9Wj+So3f0ffRdKHO94pYzlofZTua/UKtT4LVj+ePKai+uOPwP63 TywNILb4v8v4vENjl11TlrshPNfMnzVC/nVrS7KxDDYCwbeMO20QNuRa/Znv ZwyOEfyXalF+HnSs+RQUbQIso98llrC+qjPiu3DJFPbxHvsvEecblZHmzlAz qBJPOIj5mdzUNNBw1RxC+NJcbyDMnPW7Ty7WAm7NtSfi71uOsG9P8LxlCfsW /kjifsG2b3u+eD8gg3rUTBj274lhswWGbCtQ+9zpg/Pd4uxkEmeJNTiU9LPi 70u2x4k1HTemgD2HzTdc/8+VDE9FtlHA2vJsH+afxDflNg4zG9j+MvUDxkl8 rx4sfrcBTnn211jfgdewGJc1qs+d07eunwdTC/Iy+GkL/P/Ja2G+tnEqLrn9 sgOXwSq59f2D0psJgxR70CnmqF0/X38z7X2KGB2cG4kT+nzlF8Ga6TDFFrwP wjui/0XMrhAJzBk+PH6H4cmXnwKrtxYJladXO0QMhWH+4G2PC7JzBJjKpzPJ ngRatWOxwfdporg/YqVSTxJ+dfaMHfGjEa73ZdbWXGVA+mTk3edVKP7PmOyg 5iuA+C22wgAUH/eVsyeumiuCJe3M+K54VD/Fydp/dVCGEZ6PEtzvqEThcCP7 JW9V0F87WrUH6a/U3gvKKc7q0P7wqcx3NhqRKfDL9aaHJlDzhM77IvzlX4VP YMAZYBjRZ+RkRHpgRFmj4LIOdEUrtEsuovryAMPh4zl6UP8mJOgAqmcUxZKI rK8k0LjKEIP5t7ljv8mfH2ehVmrqbdgc0k9mbK+eDhmAY+gz/ybEH6W1ghO8 s4bwwqCYB/cH9hVPWHQuGEH9L+MD+xFWcWGeqlg1hjm6rGAjdP1Gl/+8IzaZ AotsfnA15tuz1yeX6cxA+9blZtwfyCzZQqUymEN/Q0g53n/a/Hv17retFuDv piiL+wONJ78+6dtpCb6CLazY3/WZ8P7GQTI4Wgm74v5A2x7L7Ou8VvDYiVKG 45dMuuHP8qPW4M0U5IP7A3dOhG8aYKfAM/5LEbg/wP3cSkY5lQLhl/aR8PNC 9n67NZtuA8HKvfm4PlnOfLTAdcAWhqZuLGK9+OZdj+6LTFs4fn22GfNlQDb0 2WimHairtq7vT9FH1vOmHrKHJ0V9S/h3DT1PRYMH9mBmNBKB8SO5PRdPlUwR bleFRNT+fSO+J1ytSJJmhd68bI/njguEqPD3y/6BvOB65Gd0m9oyYbuaBRE2 QqD9cWNWG8s80XjLljtZWAzOp6VMjxnNEO2VwZZaBqdgyJeF72cVjdh247Oo l4U0ZJruTnf7QSVoi6au1nfkwalBjNqP9L9xRIRg7Q8A2T9GAR0RVOLC1XOb n02rAP+BiKNKyP8h8Z+aVCbUgJYjtomC9KGSY2zP81EN8ChOiHdC+evH8iFm YkUb1DZQXO0R/7TlboYqcuoB7evVQhek//Ud9XKEb5CA8UOkFdb/Mop7lU/e MwBBe8cKE+T/SxPRS31PDGGq6OMHX8QPpZd1VhzVSP/bP+jG9eS0sw7P6lsT oEtZEVrfT6phPva8wRSYxtzHsf5fDpwnO7xC+WNcbQDz5feo1fuEjxYQst94 Asc/b/O8Y1G9luDduJEe63/3mWen6QfJUBn4Zv37NvZDGhGnfSmwKaLXHfsz aaBgUmyGAsKmN6JwPDH1Y5aMDbCBFAkhEez/SE4b+HPRFpaV7v7ffpV7THfU ii2okei88Ph4whlGD0TZg3in5V38e00yX3s8EyNEuWc8L3X+TZAeE8du13LC dfLqV8MLa8TvCbLNe29+GKlRT2QT+0dEM8dm8mlLwdZaa4PvsigflT34lHBR Fnzu/bBSzkT1wB/jp5EVBBxadHiWhuqJPsXDR/WpqlDNfLODDen7ImHOuv5B dbDZ7N5Whfyz+Ft21X9OE2ybSMp5yH+hbQ6X9mzXBTaVh3E4fneuSDkws5Ig 5sKqogzKJ2LLrb27duuD5EFBJQ6Ev3rtIcSFDKHdma6NE/ljddcnG7vTRvAt JnxvAMK73bzeMqiagk4Ln00O9k95kAwQZiDYdZURPz8nRD3jpJElsIUt9+Hz 80wDXY75tmQYef/xKl6PkuJ0jIdsrOAw2359XO/y6/lO65RRIJnnPz883w1a on8SpWzAeeX0uj82+xiTr9XZwo4L4nvwfHty92bEvbOH2l2h698jTV1iHgko 7CcWrDZB9L1mgnKxK4OdXR72k8jHrKKoxMxI5RxHFoDa1zKmt4j/noOBV7mK 1YBFL5pCj/Q96+We3ZoPNOBuzBPbBTR/Ptq2hWe6dKFZ76k1gfJrF12JwbQv Cca/yrE/QHzmt5u1gSRD8HafrHVG88EoL3Y0LdcUHESs3sRi/WrtwZqVZQZr 16pTsJ4987y791+1JTxYTH2P40/t4NCl6jdkgOf7189bv9HU8DQfoABJwbRg nX/ddA/H/9hCvK6DNbb36YO2a523OeBN5n7nVfk1glvY0/HdrAxIkNqS1gqp RL5nR5+0CAF51wrrbBA/VFJnM38/UYVAwQK/Vvz96qWm8OqH6hAjFVs2j+r/ 70wy87xDeiB4/EPEXeTvqjTRhE4aCZj6+6KHkX2PHVjpprcYwptffbxzaL1m x8o2NbAbwXG6HaewnmVyFeBUPmIKCa/uV+PzJYySWZLcPGbAXEd2wPYOAcu+ g4pkyE73z8X+vcR3wrBL0Qo01e33YP/nbPyd1pRLgRbdoW7s77nSFrfn/Kh+ Pya7fn7SkWu/8YNiW/CK4qdi/15IWzhrYM4OZSnyv12uLhGX/Dvl83kV4Hn4 UhYV1ZuxEoc2uwqpg/a9gUk9pNc91U/dFxDWRPrviHYCsveIcAtJyloPHg6d IipQfHv/YXLKoZwEbBc0Hz5E9v7y3Xcj4qshOJ7I9cX9iVjp0RPd/aaQofld Devzj6lheccGzGDXNHkO6/dbyz5BzKuWEC4t/AufD+VhiJvQ3GgFIrEWwtif lqFMHls32UDUc373dT1Cv30HJ4sdPBQ+Eob9STbjoaxes4Og++8i1veDy4ua yD+4oWEu5LDwDKpnZXskjLfIgX40ZbNXCpUYkRh/NcQF8CuHLpwO1fPP2z2W GPk04FTt7BVeVF++mW3TjTlFghNfroRNIXv+he6+6KNtCJ3CfU/lkD1Wt62W NpobQdXuOjG83x170ljB1soMGsZa1s9Lil1+WCF2iQyaPgKCePyFGXSkrw0U yPVo5Vs/vzN43dVJwwb60hNzsD0hbGvP17K/EoMBPWlKZi8J9pf7T9La5MCJ nDZdGU0lLrJePnE9SgPoc8iDeHxcLVZFxo4kCPc89bIEjc8vU5jNM8wQ7t3a xkZB42nQfzRZk2AGnh/ya3H8+NW7XMheQQZlA7P1/fWfIemlf7spMM16rwG/ /9chTsL/6n74IR3b9r5+laA83RvANqEAge7Tug2I/xml3L8exqhD9MtiOR/k /7E9WSz5r/VgQW8bWxfi+4pd37DsAAne7zxu8gWNZ+q1dzBtkxG8reZ6hvXQ qN8TiWs7zUBWa4Mf1oNtkw89zUXJ8Dh/Yhfm885BrmJtbhuo/P1j/bzTw91K DDRNNvA52/G0Z/MiIVe171vUf/JwaUk3sQrp8UiKv5MpkzpoDbNecEB6vPv7 z3rPbZqwgTHTdSOKNyy3sjTf3ydB67jPQhYaj8QTPY0nDYZQ9uKFGtaHzkGL wpptptBoIesTjuPtcvbuh9Nk6LNuNsXz41dqXnJ3mQK+qiN+699fPG+e0dtk BwzOMevfg/KIzQUuf+SCJs+Pky9U1ojLj9gP5C0QENPDEMyP6s2ndI2Wsxs1 wIzl0TyOfy2Bm7rfHybBc2kftd1ovoq/3ygW1zSCGrmkNB88Hh9nuS+6ZnCN U+4Z5g+3BGx38yFDyXLCAF7f+Xv7i5YIG3iQde06Hk/RrNg83TsN4C6gXsf5 6Yb42mLiZRL0GBowYHvbj9YV77xnCHzaV+fw+d5kV3HpyFIzqO1JvIfnP22i xcqqnQwpuVUJ6/xk/yfSOE6Br2/MUtfPEwhe6ZUuOgA+qzN33fzWCNqJdE0r bwKypRyPGSI+PDT1PtjyVh24pvv07dH7SToMbClHjUAmhSsP9zsEZuNPl4iY QU3pznTMv4XrPvUD+mRo36Z6CNvTGxp2/LCIDXS+rPbH71PhKLlXfn4vqNSW JtzvWyZaTt18+NFBAXLG4uNi0Pq8vErcpH9Dgq5jyTJPkH3JMv39+oOGID5Y bo/5lb/wTdSFagoq/GX2+DzBIpNP45/dVlB/mHEWv4+mrS84ymoHWu0/LmH/ MbGemfMnAG5vsH19CMW7F/n7MziVNKAztc54XV96Zb9WUSOBg8VCfTv+foOq DNNuZmA0nv4a+0f1OzN5LpUMh4VkyXj+TvaayVV4a4AWl4KoKLq/vrzSNNaK BIcusvdU4v7lGU2yVrQZWD7Lc8TzMWfKWKfymAzPSgbW+yHL/71MV9u4H8xC J51U7VcJma/PlKOaFWBsSTB9N+JThs12o7gVQ1AKeLUD64GSsPnZxTskaPAl +HH/pVd3/JBmtSHYx94Xx/WEeUDRkfZxMuRvqT+Pn0+vFfnZaYEC33bWheD5 Pj2Z0fZBhQtKbvTXO9usEZSPlcOsHQRkppkc+ob8W8zudc1lRh1ekVkP9yL/ dqZ41TCqm4HAFcdObD/lxeZNRyo1YIguxLsH/S7FYZL3KpQEP4tWQnD/K9+5 2yv+Ixl6dC+v9wMzRo6f2nr4ALyIORSka7tGtOhJsX0kEUDwSbwm4f7476y/ QgeNYP5H63acL26ypT0bPory/SrrHJ4v5715On+FbODmj30+ePz5xqe9ZVQU QOO/4wxiyH9Hh9JVJGpJ4JEW7PcI18edITVjPYawh98mFefXloEBXWKrDYy+ Oumyvr9R96Y5+aQGKK1uDxFB/tq3W6deyNEMVDzFH2H7ah6bbU2NJ8NotKkq Hn+zdimPW6oGcMgsKexE1wePbKY74k6Cud7b3wrQ+1op1PTRWjLs6HVY319o tvMfztvDAT/PNIoJMq4Rl677F+WxEOAK1wJjkL0a/B33zLcbwVk/y32Yv5Fa c9cieW0g48uR9X60y1P1u+lFJMjgKv+cg54fv6fcff8HQ5i4MbIZnycaZRdP /EpnA9E9TN74ekYf/UPHjbjh56DBYs/BNcJItSaPkwWgCOQd4hB/yn9zCIft 0YDRs5GOePwLZ61f3DI2gx8iL9b7ydPaebpW10hwVKbkIdYXkZ6vz4j2kuFt SdP6eYTzLoNR5yU4ITLNf/tg8BrBvn0+dCqFALvFlNsufjh/RlX5S5nBiMeq OvYXjXWh2ypGAT6X+P+cQe//fUeVsXrCEISjpUexvS+T3c891NeALQMdEjJo PKe/yLyq8UX3RxaM4fG0rNaXmt4lw7U7g574/f/7+yh0///f//4exP/w/wNb lFy2 "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl13e8j2UYx/GTI6slRUqyR7LK3tl7l7237B2y94yMIhpSNJQoOyoju7JH UZHSQlmh9L70x/d1XZ/P9fyO33me+7nvI0u7Xg16JklISLhNnkr6f22Y9P++ kL6jPCEdZLY8Lu2loLSTAvKptJWSPjxL/V3ySzY/+GnuR9mEU+D0+nelDS6h 7pYX9L/JKH0+tbXMlF9lJJc3vpt6WjbqH1BbqTPksfi++BM1uZ+fTv+OtIzr 8HEpjnfJbP3z/CX9ev0v+hH6Wvo8+gb6U/H98NuJCQkbuLT4benP9edacMXw zvhduRe46dxZGc7V5Opwj+L1cj+3VPrx/fjm3DT5WYbxNfjafG68Tu7jlkhf vi/fjEunPyYHcVGzHXHP8FSze7mLeB3+CT+nz6XWV9eqD5onM9stabir6ltq H7WpeRbzBzzrtPioHMBFzJOo12W7fiY/Uz/F9X/Fz8Wr8Rk8FFfHtXBOXA// EM+AW8qt4W7X75Iv8L1mb0pv3Ac3MS+Mv5AZ3AxuMvejDOGqcTW5HHi1pOYW Sy++N9+YmySnZTBfla/BZ8er5B7uDYlF3otvxBXC2+T5WA/cRO6UPMtV4apz 2XBW/Rn5Dtc1S6Umulffx5rgl+CPXZdeTc0n5QqpO9Vt3N2uK4+v4At4Ee4R 74TPZMb364uZH1H34yfMK8U7qL8mW+NZ4unm0/GE+P3VlNyfZmv4VfgH/g/9 z/pBfGV9NX3WeL76H+UkrmP2XazHWAP4I/NE/Q7Ziu8ye1264574qXjf8RaZ xk3jxnPfy8D4rlxVLgteKXdyr0k3vgffkBsn38kAviJfhc+MV8gd3KvyDN+d b8CNlZPSn6/AV+Yz4dr4ZLwb3Jvch1wS/XbZglOZvSJdcTdc3zyTms69uo87 LPtwwdjg1L9lsz6n+dR4l/AYoxr4Hn0K9YJ5fnW1+cfcCfMy+Pd413A/88y4 PK6EH4k9BOfUP6xm5kuqp9UTXC3Xp1STcCf0b/GL8fLYq9R74tnHeyKb4zm7 5rL+vH6hvov+GX0916fRH5KvcQGzz2UKnoJHm5/Hq/BH+FvcFz+JK+KMuCb+ Nt5F7g3ug9if8QLpzHWNNR/7OP5MJnOTuVHcN9KHK8dViN8Vvx/7L/eydOK7 xHqL/VuOS2++LF+ez4CXSTJuvnTkO/O1Yz+LfU6+wvnMPpVJeBIeYX63mtx9 Osd/zK/Ex+L8iHdV34vPZF4GP4kfir0Q54h/V83El1BPqd9yNWKPwSn0t6nf 4MfUxeaLuPdi7eF08T4njUXnPVW3qZ9zt7v+kv6cfp6+g75TPGuXPqKmdW3q 2FflS5zXNTf1V/Wb9BP1E/XD4x3GH+EV+CjuiUvjcvhBXB0fj/2Me517l7uJ t+LPcFL9S9Ied8Q143yMM1MmcBO4YdwR6cGV4spy6fE78VpwL0o7vkPcmzhP 5LB050vyZeK8wG/HreDmSlu+PV+dyxNnsYznxnNDuUPSjSvBlY53Mu6N/gf5 BlczS64muFfH9Iv41/DSOH9jX+L/5R9Xt5h9Gs8q1jO+iP/Ac3A23Aa3i5/p s3Vxxthn453mi6r71b1xPsd+FD8XX4mzHufA4/A4PMTn74qzM953s5X8h/hg /F0Se6r+Gb64vlQ8Zz6j/ns5jquaHY39FL+Kl5j/gzfjTfG76mdLa9w2rqdy 4/UylhvLDeYOSFeuWOwl8bvgt+K5yyy+Fd+GrxLnl+yXLnzRWOf8fbiyDJJ9 0tmsiFlxszS4Cj4S+zb3CvcmdyP2E7wR/xtnvv53/Qt8S31rfSX+4fj57s/d XBF1n7qHyxV7N/4HX8brcHY8Bo/BA2Mt4zvj/VF/M8+nrjBfzn1tXhr/gk/j TuaP4MJxXuJ7zbPHu809HOezHMOVXZdMvSmH42zhF+oXu/567GP4E/wP/lP/ m34m30LfSl8xnnnsqbIb5zRbK6PxaDwgnj3+EH+Av8IdcaFYWzg1roQPxVnE LeDeiPspM7jmXEuuAs4R57eM4kZx/bkvpQP3RNzPOA/wovju8jzfjG/Bl8f9 ZK+0j/eCLxz7E66ID8pC7mXude6aTOeacs25J+Osjj1WduHsZjf0l/Sr9SP1 I/V944yOfSWeBZ9XXW72PrfHrBQ+i0/hduYZcUFcKN5Z83o4W+xdaoZYc+pJ 9WjcA9dXxbfHGpMDOA9eYD4fv+bz96t3ctfiHOA3xLnNX9D/qp/GN9E305eL 7xp7rOzE2cyu6y/qV+lH6Efo+7juLP4AL8O7cVtcIPb1+Pdwebw/zjJuHvcq 9zfehNfjq3gqboyb4rI4a5xHMpwbzvXmdkmb+BuCe5y7A78iV2QK34hvwpfB vWSntI53gS/Ip8IL5bJM5p/mG/OlcZY4K2QYN4zryf2M38fv4R24VTwzXACn jO8Ye737+RB3Qo7EWnBNlfjbNd4L2YcfxfPNX8ILfK5W/A0V31+9al5Q3Wi+ jrtkXg6fx7/gSeZZ4/+PuBEuZV4nnn/sN2qqWKvqXnUHl9n11/R/6Vfqn9M/ p+/hcz/hZfhdvD1+vzgz9C3jjNbn16fgH4yzXA7HOjD7WubhF/HLcb/jTMJr 8UU8ETfET+OSOBNeIUO5oVx37gtpEWuSy8clx2XxV3HGcnO5+bE3ygSuAfcU VyLOttgjZAg3hOvGbZPmcW+5vHGu4HmxD8l4vj7fkC8e5wheLoO5wXHOcFul GZebeyz2TfxSvAsyjq/HN+CLxb4c61ue5Z7lunJbpCmXi8uTeOuoTSiDv4wz n5vDvcidl7FcXa4+VxRniHUlg7hBXBduszThcnKPJt76kzohfZzncijWqFll /0ii/obsje+O55rPxnNdXxOniXWuXo53UN1gvoY7F/c7/s7DZ/EY8yy4Dq6H i5g/FGcBlzLOHdkeZ4Lr/tb/qV+mH6gfqO/s+s+lcZzzXO7EW3/KJZTCe2QO mMXN4f6Q0Vxtri5XONYYfk8GcAPiTOLOhMPv4M9ivcb5r28U550+l/4/uNUV cg== "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl13fcl2Mbx/E7DSqkIaW999570ZA0aO+hvRdCSFOl0tCUKGlrqLR3iRAN UZEyWioUFfW8j9fzx/c5js/nuH7PfXWN87zk6NSvSd9ECQkJTZIkJETNlzgh Ifc9CQnNwBn9r/qd/FL9cv0vfFc8BA/By3FGKc015BpwI/DveLpM5aZzh7hK ok3Iz+XRNMe7cDcZyg3lVnB/6G/qH9Uf0B/SJ5fUzvFRXMbxjdSnuBzc6447 j6/gqviK+Ua8BRfDN8xTqGm4+uoM82n6Geb58Rfm/+LE8jiujI/pT5pnEG1C Af+TV9/CbDfuLs9xz3EruUxSlmvMNeRG4qv47bgO3Nvcl1wV8ScSCnL5uJZ4 D+4hz3PPc6u4zFIu7gvXiBuFr+GZklQK8fn5Vvxe3FNe4F7gPuKySHnuaa4x NzquK54lyaQwX4Bvze/DvWQYN4xbzWWVCtwzXBNuDP4Tz5YZ3EzuK66q3MsV 4QpybfB+3Fte5F7k1nDZpCLXlHuaG4v/wp/grfhvPCeuF56FD+Nqchyfwhnl PvOiuJC+rdlP+t/0B/hl+hX6X/k++CX8El4b562/pc+u/1T/hb60m5BCTaNm imdJreR3zfTP8DnxOMdfwFdxNXzdfBPehovjf8xTqmm5J9W5cX/0s80L4K/N /8NJpDaujr/Vn45nO54tLidO7nfF1MJcuzhHvByvxL/hvvhl/DJeh3NIZa45 15R7A9/A8ySFFOeL8O35g7ifVJEWfDN+PP83fkdSSgm+KN+B/wz3l+HccO5j LmfcZ64l15ybgP/Bm/F2fBPPj2cLz8Hf4BpyP1eSK8Z1xJ/jFXgVPo8H4Ffw K3h9PA/62/pccd76L/Up49o7rhVuoZ9odlF/Lf4uv0W/Q38r/p7rmQ6/G8+p OpcvyB0xu4OTSh1cE5/Q/2BePu5/PF9qrnjX1Af8vpS+OJ8Fd3L8WXweV8KH zFfij3BhfCHeaTUlN9DsVfVVsw38df2/+txxbfVf6e+X6o5rjVvq3zS7hRfI HG4ed5SrJQ9ypbkSXGf8BR4kNaQN34qfxN/G70kqKcOX5LvwX+LB8hr3GreR yyM1ubZca25yrH/4fZnLvcMd4x6Th7iyXCnuWfwVXoVX44t4CB6BR+BPcN64 z/gwfkBqmbfDbfRTzC7p/9D/x2/V79Tf5hfG84vn4+P4rj5ZrMf679Qf+czx 3rjOuXFqx5dTS3NZua6OO4cv4Mr4sPlHeA0ugi+ZJ1Xv5+qpQ81f178e9wZv incI/4dr4nz4EP4al8EPqmnVzNxjfttebcu95bjL+j/1d/ht+l36f/lF8Y7F 84i/xbUlDVc+9jCuG/469hF5XNJKBbOyZt3Nvok9QWpLB74dPzWuDf5A0klF vhzfgz8Se4CM5EZym7n8UofryLXnpsUmL9vx7rgP+sXUfLwAn4jj5Xt8Jp5/ edi8Ei6v72n2s/5iPKP8av1a/WU+Wbw7sYfwo9RRfB5uS6w3+E48D7hAPMf4 G1wWp1LTqVli71Tr+n0nfYdYC/D0+J7Af8V7E98peAfeg0vgO/gB9WHuQ799 V33P7Lv4t/L34rr6k+pP8bxIeqPKuIK+V+z3sV/JaG40t5UrKPW4zlxHbkZ8 v8gS7pFYU/mKfO/Yp2LPkSekC9+Jf5tPLEu5DFKVr8T3iX0g1nQZw43htnGF pD73LNeZmxnriuzEe/Fd/bJYJ/D7+Ps4P8nIVeMqc/ExdwKvwevw73g4HovH 4u2xduvvxtoV64P+iP6huM+uVdbYyxzfVe3CzXLMFf11fVL9Lv0+fcn4iFEf VNNzDdTlsQbpF/KF8EnHJ1Lvi+uvPoFP6c+aV8DZ1ExqHq5xfNv5fXV9FT4b 7uf4X/CluJdma/Uf66/EN0e8k7F38OPUcfwOvkisUfgoTi0NzLvhZ/Wz4xmV FVymWEP5qnz/eN5j3ZanpDvflZ8Tf0dWcpmlJl+NHxDPUqyp8gb3BreTKyoN uR5cN24uvk9WxdrKLeJOxT2WLFwtrjo3MK4LXofX46t4BB6Px+NduJgcxsdw Gmlk3hN3188zu6q/oU+u363fr08kqVynR2KvcvxC9QPudDzHfPK41/rT6jm+ Ipc91lk1b+L//zdBVr97TF+Dz44HOf5XfBlXwafNP8YbcFF8Lf7N8U5zT8S3 ufkE/QTzvHi3+U0cH9XFY/1Tj8faGu9kPBPxLBj3Untw7zgmhezBB/A9stp8 EV6s/8GsgWSLNZSryQ3GP8Q6KE2kN9+Tn8+nlDVc9lhX+Vr8EO7HWLPkaenD 9+LfjW8KWcvlkDqx9vNDuTOxVshEbiK3hyshz3B9ud7cgliXZC/+FCeWdbF2 xzql/9HsqThX/DPOITnN68a+p3/O7Df97/qf+PX6jfo/+OSu1UOxdvBvqm/y +bi98S2BE8W54pKxj+i/NS8X30dxH3HT+Hfq3zO/hv/W14h3Cu/DB3EpnCTW BjVDvHt+s1hdwp2JtS2+oWPNjuun/hLnH2u24+rh2vrnzc7G+iOTuEncPq6U NOP6cX2593EqWc/ljnWUr8O/EPt6vOPSXPrz/fiF8W0iG7g8Uj/WGH5Y7E/x XspkbjK3nystLbgBXH9uEU4t+/FnsbbJRvMP8dK43maNJC/3JFePezHWI7wB f4L/xOPxFDwFH8C39ffE/h77sXoi1lV5xLXKgVvGOeAPYh2Od1n9XE0mGeP/ 17wxly/2k3jX1E1mf8X5xnuE38Kf4rJylPsu3h1pZTYQD9QvNksrm7j80iDe R/7leKbiuZXWMogfxH/Ip5PNXIFYB/n6/HDufDxj8Xe5qdxBrpy04QZzg7kl +GHZwi3hlnFncZPYR+Ma4lf0F/Sb9df1k/TT9J/py8caHNdJ2vJLcfpYf2Mv jvcy9se4p9Iu9l+8TT0X75wUjvVbvRj3Q9pLkVijuUtx7vK5voJ00C9TM8Ra FXsi/lnfVHLFOoYvy1SpyHVUd0gx6STFpbOUiPOP/V5Kxr4tpeR/eDgUvw== "]]}}}], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwd13c8lV0cAHBEkZGRVZJQSbL36PnZW/a69i6ylRlJS5Jo2KJCpZKkVBSK EuW1JTOESgj3GvGec//y+X7u4zxn/MZ59ngEWXrT0dDQWNLT0OC/wlf+3c4X /O9wr1UJaWNjiHjOeGD3cb/HxOYwzUNj/UNEXeSjO2J+bwhV2j3pjS+HiAzF MSfW1CbCIdx+e2DuENEoHeK72e8LUV9Zx1OWMETEcm+82LjVQSyV3Sh18B0i bqTrHl673EO8f3R72MZ8iHi8LaWBEt1PFOltyUxSGyI+pLQbLKLnSK/uJ7SK DRGzSSw/Iu+PECr+jD47+YaIuIbHB8i3vhPm6R+KSExDxFY6q4CIm+MEf2tX ZdzaIHEDlh79vfyDKPu7ZSx0bpAQic+aC0maIrx+PKCRnBwkymvU5WejfxLT S88P3R4eJNTXhk4EhvwmWh8tPmv6Okh8VD1T/cv3D7Gq82Dyavcg8UCd65TC 41nC8lTjGqVjkJjr9yoIvz9H8MjqLC+0DxLKMVVvn96dJzIC7QpPod9P7WAc nb/1l0gqueF1pWuQeFftsEk2d4G4uonGfE/fILHV4YFoyM1FgvWLJ53U4CBh TlnTLU9fItxzdhQ9HRskbt408/1zmUyo3mDrvP9rkBhUvHVB8iKFMDYtecq+ NEiIds/dO560TOQ9LWkdoRkijkVofyqLXyFqyJO8O1mHiPLt13/9jF4l7k/J /67eMUQsPZ1gPXhijZg4McT4+sAQoWGlLHUs5B9Ba+l6ZrfqENF8tT9k0neD uHX73iN61yHiQuaNjxkyNMB0qeVwUtgQIeFHOMo9poFWA4VJt4tDROiWqzGh 92nhm/GFp9LVQwR3jwoLpxgdyARuFxPtGCJeFI/mPrlLB/7kcZuImSFiXVe+ dvbWJrjJ8uJI9vZhopB7wCxNkB5cJ78VWYoOEzrjZ4ekculhU4O462v5YeJS Ug9N0E0G8NC5zVZqN0zwNURr/768BfYyeqpvKh4mXqWLdKYwM8LgRaGvfq+G CRePFi+Ji4zg4U/Lfum/YeIOreA5/yQmSLp2l4GVZoSQgboPU9HM8D3/4AVt nxGic9sxh4sUZtiVlOH18fQIETnEOS12ggUyTM6u7MofIWpPeTH7hbDCmu8v ikbfCGFUs8VswncbvNtzwbfYYZSQ2fBY5JndBmYHDun0nxolUoRcP4uos4Ot WPrRXXdHiXCPlxHW79jBYOxmVM/CKKEzEfzuWScHaEfH7Ikr/E4onxfk+8zH CcokkcoTX74TEmIt/hNOnNDs+Gvi2vp3guvYfi7ecU5oPRomqus2Roz+HnCP XOSCli/uI6dlxonu1EvP0lS2A4i/z37sN040S6kw3YvbDvf2Cqet3xonKkKu lfcxcEMqa5Lk7PYJ4vSi0YYqDw80356WiWX6QQj9e577T5EPhm3tk14JTBHb 871nuWP4YKFl8DePxxTBSHDpSL7hg76T4moTJVPEn4TAny76/LBXY1tWnvw0 UUu/V/Wt3Q7YIG6k5pj/JJxZ0nsSIwUgVaA81/wsyiNWRSZ6ZyG4bGn66Nqn WaLdmDPzc6wQXHOuWgv8MUv0XpzZl5UrBMLvItxX6eaIMYYSHclvQnAn3u/B AZU5Yu0fb4I9aQ9sGtii9a1wjhCfWV4qcxCGcNYqni6veUJaovvsyShhuHz/ HP33mHlC8VjFdq0sYZhcD1spSZ8ntCaOyfb0CkPDpyOFDm/mCYfB/uO09iIg HBm/N4j7L3Hhc82Yja0orLE0HqJ/9pdIZckOEzohCuN7v9L0NP0lrhmdoPt5 XRTyxkdMAr7+JQoaJYUSukSBIeG09Mj6X6KqtoB033ovLLnoLG/RXSDGH51u X7fcB4GvQgdHGxeI6V/O7h9D90GqQ6KZdPcCMSuuOpuRvg/OGwuuGI0vEGvF 86wH2vdBR2NO6DTdIrG9wNPQymI/bGFwSRhVWyS0rui+LTkiBiQNRzeFu4tE glHlvfZAMThWtOeG85NFopZBJOPfZTEo2Loe71yzSKjG0vhYtYgBlzat/kTn IiF39BXzhsEBqDR/fViMbokQ1Zaxs9UShxjWV2WtNkuEx3oBnHYXh8D5wIC7 rkvErWo28bIEcVgtMc4kHV0iBKR/rdG+EYedu4aeeMUuEdy7Sooeqh2EJBUF gYVbS8RmssAMvYIE3KyPirAZWyJ0Ki71SFlLABF28sjhX0tE4vGVt45hEmDL lc/IvLBErH/vySh/IgHHDM9YWGwiE+S2dBUnyUOQJK1xJUuITCim0IqcNz0E Jf7Pa+/tJxPh+sEsFQGHoFH4zN5bkmRitsZ0aMuDQ3B0+WMlqJOJyfuMZ5/u lwT5jqmj9rZkYp/PycBBPUlg7NT+WehEJrz2TNgx+UiCv278+w4PMjF8ExWW O5LwWMbx3FwgmehLOtW2dY8U/KmqExQ4Rya8pVZYZViloUbSK9mjnEyY9J+/ yycoDe1F02ovnpEJ+fPcGjRS0hCYI3dq6SWZoB+SDvhiLg07Y32aDr0nE0Wp vs3Hr0mDd75KU2ovmUhWXXS3uSsNLRH9TtIDZCJkInFZvUoa6isdrr8eIRNw OF+MpVcaRleYpq5Pk4mh353n7u+UAfdi6XbLVTLRmOUhmC4hAy8O/lMy3yAT j3Rnn0VpyMC4brao6iYKcSqPedzAVQY0pOZPdm6lEAKmWto/imRAQsXk4AF+ CuFQ9nhDRFwWTN7Qr5+WpRBgr3GTWU0WXgp2xrkrUAgx+k+Sf41lISLJu0da mUJQSBPO9cdlIUdho7dAg0LcYN712u2JLGTo/TZ4p4/e9/y+lUG9LIhc7m/e b0QhvD2Vf0p1yELb0MW8WBMKIf/KasfGgiwIaBCTK+YUouNYcmSeshzs82/7 ZuZAIV7y8LGfNZQDCBB/qkmiEEX1d0sCHOVA4eVN+f3OFCJ0R123Wqwc1Of2 DzS7UQjHRrNAkctysIMtxu6iB4XQDP3GwJwvB97OdrvVvCgEezNZ/usbOfj9 1VUlyhfNP+JsS12bHKzOTfcxHKUQQ3u4vO6NyEHw8KL3uWMU4lGUZEbkJnng /fuiz/M4hTA94D3Hoy8PaXs/GV0LpRArlyJeDdjKQ8va5ZDyMApROnP27B0f eZi2C+RqCKcQ9JXF/LLn5IH1W79aywkKUcHz/DvlOnq+u321/iSFcI1qevjm Lhrvk/S98ki03sOTmqbv5WHPOFktJJpC+BVSmLd3ycO2gnf2OjEUgpueqfvr mDyI6ET9xxZLIYI/HjjmR68ARofWtJLjKISghKq81HYF+P1cOkTtFIX4lGq0 viiiAI8dpHzGkPdZ+6ef0VaArvwgVsEECtFZFeNkZKUAz4wU/j5CPs2fso/D UwGaCKktyqcphGRs7mxPqAJ8Ev3Poxr522DZy/xEBZgLYt8tl0ghkjVrkrzT FWBgssH6LrLynVYziSIFiIp+I8B+hkJkHJ0Zra5TAKch5fdfkKFlvSzhPzS/ n2tdokkUYkZy20n9EQXYwfu4LxQ59+puTbY5BRBV/+9HNbLRghRzF40i8G9m 5ltBpthCVw67Ioia0SfKnaUQd6vNCzyEFOGywSd1H2RLAfejB6QVoTO71SUd mSY+RG6WUAS9II6N58iPRk7/qzqiCN+08uV7kEk66U1xroowz9jFPYvMWFJ0 VSdIES6N6r6gO0chqpiekpjjFaGDXkV2G7JXQMPe9lRF8L20nMWNzPGl409m viK8byYYeJBrZcaqXR8pQr/G9AV25IBrC2f21SpCH/slVQbkHWR6s9+tilA1 9kJqAb2vyYGbr3JAEX7sPx83gBz+eu9o9G9FWBjYp1yHLLxbsUzznyI4ZsaE FyC3ndY7wciqBMn6QfqRyKfGbOGLgBJw9qS+N0aW0PfdekNCCWQ3O9LtQO67 d7LTSV0J5gfWOb6j/TvHciFfxEQJLj1/xViCLB+U6TdNUgL3pfQVb+TR/0pl n/grweG1Yyu7kdPkq9dOxijBxMSbnV3o/A7f/Nh4+JIS6CgcDD2L/HO5L40h RwnymEU4ZJD13qyIZrxUglyR7NBoFA8Le5j/ODQrgS/NqCMfcmHSzmqhr0pg qviu+wmKpzVDddNHy0oQJC/yXw+Kv4rOuIiPyspQ2dXSMofitfSsl8eooTJo NQfv8ETOVzQ+suqoDMmcHMNfULwnZ/IdOBSHnm8yPJCL8sHT6em3tDplOOtX yUmH8seRNfvjvXZlaNxJH2MRRSHMaxOq6r8rg7tWL0Meyjd1IbO0BQYVeHRF qFMM5eP2sUlteyMVqHtUlMKN8nfr9S/SISQV2LXx+bABym8avapdyQEqUGWQ +PQkyv9fJWfIr1JVgO2Gq1RrMIV47y/4YHeHCrjY7D9rjerFib9WnD9IqvAj Y+XWmDeKhzuqGxsBqkBvm7P7F6pHHjZ7fvGdUoWy1KOn5zwphNnzmfdGt1Sh xPqM1JI7hdgfczHq0ZgqxHynoZ9C9a6X7s1wxHE1kKO7FJhoQyHUOMUf08er w4khE85f2hTiM63jx9Yr6qDxsbi9XYtCuM1d/H7jljpwaHcZVWtSiKS2Kd4D 9epQmhWfdpZAz6feSzBl0IAjGVKPBdTQ88wHLG9c0oDkZ9JDZqj+J9GLLe7P PAyis0n9THsoBM+C3ba50sOQem5mfnU3Op/v5w+8rD4M464312cEKURr/Q9n k/7DIMCuzNUrgJ4/XdIYLEjAG30bpud8FOLev32Z1XcISAiIz3vETiF8V9Pz 7toD0BrMaFfQUohrZr8aotwAUl0TI4ZoKMTbQt1pUz8A+fbmg2zIfAYUxaWT AHGlvIrB62TiwzXnNr2bAO3j+/fro/53QFJs02QXwC2/QkJ7kUzYnj594PUA QKx1p0XyAplI7Px6JG0coFugbkfHXzLxNfpyrvIiwMDYi69H51H/bZpXuLhd E7Zf+WRb9odM/HSr8RO30oT+9jC686jf8lXyXFl31ISznjmJ01NkQmdL8LN2 D03QXTPpPYKc+1CYLiZUE2b7PZiEJtF9YOV8zqermpBG31nYPU4mIk1H6gqy NOHWZtMZA+Q7t1Qnwwo14ZD8Zb6aMTKxpvdbXuCJJiQVkJgefCcTDzMsPwe0 aUJ5f4V/Hur/XyceLECvJlhq/qoSRN6syrCTe1gTaGTefi8cJhMuw899a/5o QvUAfH84RCbYDu2iZdumBUdmbCO/oftEUOMPucemWiA3ydWa8ZVMvIUyfwlb LYiMKWI/iMz+Kvj2PRct4CmOTXrXRybKHy9z3gnSAvkU++V/6H4yn8k8n3lV C3rmi+eSe8iEFlfbAZ5sLWh5u+m6HHLG5WvuGUVaEF1M4zLYje4/ibv+u/xU C45n/nBQRT7hL1We2KUFS/6n6pi70H1l/O+PjQEt2F5p6fS+k0zwur3YHTeh BYzaLKynkV9Ya145SUbzU/YsXu8gE4xfGJoWNrRgx3PyxbfI9obN6yGM2iDw 90RUEvKyhlVgAL82XO4QCeVENnrBWzy1Rxv6OaVPfGsnE9my3wZ8xLXBxLs4 phRZdb+3qbuaNui/uByvh5xceODsoLY2RKbvi+RD7t8585pkog0VOed8fv1H JmLZT0rYOmsDR681XzZyS7KaV4e3NjgqR3WFIe9ioMk1D9SGtYr/Yo4gB8a/ 62g9oQ1vzbYzHkKuXb7AbByvDWe1/5xgQWYLN9X+cF4bZLpW3v1uIxOuMxwx umnaMBbRMtOGTPM9e5oo1IZjnyubcpHNnV2Fa+5pg/2LB0FnkQt7RBxVK7Th uZ3KeBDyvMXk1ecvtaGJ/EDUCVmrpeyjfIM2FDfIiBshp+uF0FZ80oaOj5Q5 FeTRtwoqUp3a8JlPKvIgsqzaSnDZN23gfkNXLYh85llt6YFxbRD7VFjOhdwp dWa4+Lc2xO9WJ21FFr2vzye6pA0W4YOVdMjhoizmhevaEKDpW732hUy8y287 L7hFB+Qdn3pRkLfzX3+Ts00HWNILKhaRvTMcyHx8OmD/mrFgAbmKVVDqhpAO RJd92ot/33xh1IfrgA4Ms37UIiPb0pXkp8nowPes8bkV5JJY/25WVR3I8P9P kga9n7IkxXZJC423VWFxM7JByIIuo7EO5Px7AduQM3++iDtrpQPvWxhY+ZGn vOOe0TnpgMZGg40osuqw5u94Lx3wqMrlkUFOdty891+ADszVqRkTyIelWZam wnXgTcmXPlPkOQbOpu5YHdhzrPOOM/Kdft7MhiQdEGHLLw1Etn+y62h5ig60 ZyaMJCAznxdRzbumAyrb2oyvIdc6HWBOztUBnxPD30uR9zIqPPQs04HamoLU LuTeAdVT5pU64OT6PQvHR8pTOKLxWgfK4re924ziZ97FZI6nRQd4U9h91JHf PvNUaP6pA7R7NE5WIodfOrr5+V8dEHiow96FvN89qOf2qg4U6G65v4ScyhIT FcesC7ND8W3qKN5Jnuk10gd1gffXzVOdyGwqmam75HThzXxDxRpyPVu+61Y1 XYiiEf+4F+WX2Mt7tGNGuiBX5Ho5GnmJvU735jFdKLldxiiJ8vf+RCNPUqgu RF6f+O6E7Py65UdwNBqPZjwxBfmdb+9Fo2RdeBzB8O838tXaP63/7unCk+8y kdWoPkgECNp6TelCkIuGThCqL55NMT4yfnpwkrG6UL0ffa+p7zNbCtIDt4zi lBhknydtCq9O6sHdrrZ3L5H9cvYy6J7Xg9xjcuyq31A+Bn25bV+sB/NWBq/V UD2M5hUZiR/TgzgDjQ8GqF6m+zaTPrvpw6GIkvoIVH+vfQvXzvDTh5SDQg9e IF+32H3QPlgfPsieOr+KnKkWvjISrw876WM5T6P6nb9NMGsxXx/WS42lL6H6 fv95SLfAgD4E6q1nZ/0gE3Vb+C38HQyA9fEo99WfZGLitqRRn7sBDJawZXUg s4COtv4xA2Dj/dPA/QvFT2SQgkiMAWTt3c6Uhfxn8j1/f64BtHX/3ZPzG9Wb 5tBRo2EDyLmox5yC+pWWz4X+F5MGsDyjpfYB2Y8uv3PfnAEo6coub5olE5Wq Hxvp6AzhyGl3/mhk4we7H7wUMYQWusp3bnNkIiqlJUzc1xA0T39q40H9MV9s NCAzyBBuzeubGyO/e0f23hxpCFNuQSbxyOz/hO1HLxjCN8P+5+PIJcej1LPv G4JYyYReGeq3XWb7GLbOGELZn8za3UtkYmVabf3kkiGMvgl8bYwsdN6CPL5u CBcu75U8iRzwJnaqbpsRbPXZGdCCvEm6ozVKxgj6Td8bBZPJhAxHwo2pcCMQ lc8Py6OQiZeMPWJNsUYwu53QqUXWopF8dSfJCArN/bIGka3/9A+5XjOCFI/i /3Yto/7TqnSg+6kRVA06xN1A3niX+urpKyOwKT8X8RT5wutx06sNRiBl4fX3 C3LWg4xQkw4jeB3McnrLCpl4ffHPq/p5I5DQVv8ZjKx7Ws/s1ooRfD4wwJuM /DkybziOzhg0ap1bipCHfI0ZVDiNYcjP/HM7Mp1eidljGWPIRT3lELqvXNJY H05RMQby/PozLeTtCjZhxzSN4VHViyo75L2imzL3WhhDGh/ZMQHZgM51JCfY GB6/tFRrQf5v+VlYVKQx9L/5xD2I7DjHstkuwRiW2HfG/0H2H34pzplmDL/a ztFwrJGJhR6Omj83jeGt0wf+PcixX/yOtBYYw4lA8XfSyKm1POEXHhtDvmP2 ZzNk3qrjm32eG8PzB41Szsi3Hr7L1H5jDHy2rqL+yE9yQ2vWPxsD192Q5rPI ndGfN0fMGENxubNAFbJz6N4syyVjeGIufbAOeeJo7EHpdWNIvHy3/RMy2V7c /CerCSRdV58ZQk4wPz36gdsE2GfbPKeQGQ16w4t3mQCt+Wj4PPIOpXNZ7odM QOqMe8Cmf2SiSHLgIKFgAitbtKyZkQ/uk68V0DABvcWkr5zI6tyjoz0mJnA0 gPu9EPJ7FpWIZ9Ym8MlgXHw/shl92pYMJxO4k8MvewjZ9a+GhFmACRSEf96v jMzCSdPWGW4Cxbc64zSQX0rXh5HiTGBXSZCfFrLvkSTe0bMmYDCSN6mHvD1Q 75VfqgkkyLttGCHXpTC6/rlhAnXKtQ/NkAMfNNOdKDCB1cVXCxbIO5tTitdK TKDPx6PLGvnDpJnRmXITcGd9ZW6HHLGFY4ap2gRKz37xdUAW3tdxNa3OBCbW ynaSkL/oXFfgbTaBJ2Kux52QYz3t+vLaTWDjyKKzM/KBRP440X4T8Bo/NYPd fatf6MF3E3jr4yfkgnzmTd47mV8mkKi5uIB/lx509XuxYAK9dHIB2ANre1iI f2i/14bO4/GTd449fs9gCqFj/Ib4/UqqxVYmbKaQcka8HM9vzN6P3M5jCuUv 1N/g+V89KZ7jsNsUvubUn7BBPnzj1+Hh/abwjGlbjyXyz8pHoz7SplDJf3Xk CHJmR/C538qmYHvg9k0TZN15WfFwTVOoOZKzYoA8z77YumJoClvvfGHWRS6Q eh5y2tIUXDVutACyiVkUNyPJFA6Z/9NQR14OUKtO9TSF87G1bkrIxZf+OXEH mML2l3MKssg0H0/fEY4zBd1g7rV9yA9/aBvcO2sKxQEqf3C8OG7e/Esq1RRK fyll7UCu1E6W0ygwBYcCOR5WZHcPk56GElMIM/L5yYDMdpotxqjcFL61DcWs o3j1q02vt6szBdPlbR0zyNwD1j6DH00hKXspZwK5fpVnq3e7KRQeuiA6iCyg kmMR+t0UHLM5olqQ257eHk5hMIOqnXZmxchx7d5JXGxmcCBZQi4XWXxuv1g2 jxksvnQdvoqcJFkWVLLfDJKiZTJjkZXvVa7XGZpBM0ddzhGcv/nvBciXzSCA +cvQL1QfcpwkemxumAEqk1uGkW/syLhamW8Gx6Uub+1ATrnhtjn0sRnsMLh3 +wVyZOrqn19tZiDCd4RIRLY4JdMwynUEZvWlf25DpnPJO/o56wjwjpmZ70T1 7t9OetFDRUcgZnY9hRmZ0nds8NL9IxD+k/xmFdXXGRtlK8NXR8D4iR/LN+R+ 0w71d9+OQJfCsl0u8td8esaBbebQ4KdpI4Bckara325pDnsyHa8LovrunsPG 8NLWHB78PMXMjsxeOipZ6GgOfJq3L9EiB9YlJwZ5mINacNGDMdQ/xBe+HmAJ NYe00agTD5CLHGIida+ag8XfzqtqyOmir7lffDFH+Sxn7of6j6ZMGlHQgd7P vf8tCXlWw+vouR5zeBW+TfcIspkdS431kDkcZ61JVUTemuzkNTdjDpPtrfs3 Iyf+WasQZ7OAiGjyrXvoe1Rmre0bB6cFnFi+Ep2PPMx4d/MytwWMe3kHZCAf FjZ1bNplAf/RBWfFIa9Y59F6HbKA+1Xyu6yQw15qmOeZWEBZtcEUHXKlYxNd nzkyWfgiBfXbpRXzZ9ttLMCd54X+DHKkmteOFGcLCFDK3vMVOfZ18lh0oAU8 ap81fopc47T9ZlWoBaQ9tR6/h7y+lmc4f8ICppfN8m8hn9Z48uhovAXcHfwW mIp8rrYn0j7NAlZubk7xR25ycT947Rr6f+YeYU9kxo3pgS+ZFvB16lqfI3Iy sa6lX2gBZt1JxUbIV96KsipWWMCC6oOag8iZ9SGFXJ0W4KC9a+gvuj/0eaxa Hem1gJQnYiG/kXdsOrv50je0f67XhH8g52ln+tONW0DmNa/vX5GL3tUqzC1a wJWkpb4G5O9eBpMSKxawp+WZVy2yKEN7tt+6BUgLCrNVIxfrjm8MbbaE83Wl rx8hP2hkbv7Mawndt3OTcpB/+VyP3SpgCdsrEmhvIktu2S2lJ2QJHBx7ctOR y/Vlr9WIWULMq+3iychzP17pLUtYgqUAy65zyLIXdJflZSwhd034UCJy5Qd7 lzIVS/iPffedaORFv1H2SQ1LcJF6vfUksiJTQIOIliXcLZq8HIZcbRgvlmNk CWys2lMByLXNd+cvkiyheGvrjBt+P19bSJyrJTy9k+/hgnzbZ2U22NMSGKr3 zJCQL9Ad+WPnbwmJgdeM7ZBjzKMCjYMsQfGqxC4b5MD8278Ph6H5qLQxWCFb qVJ+7o2xhKxTBTuPIOtdEPbnj7eEZ5/iDEyRlbtNplnOWMK7xZZL+P4nGFo4 +TfZEo6N0NoY4Pvf20++P1It4b1D6lc95E1sSxNf0y2h2asvQhd58p7ReF22 JTSM0/3WQu4nh3s9y7cEKYXLHzSRP+sWfC8tsgSPeYlqQH6b8dEjt9gS5rQe 1RLIT0f+jly5bwneEyO9h/H5SQm6n3lkCa0N2VuwM+MMhk9UWIJC/QMjDeRL n0Jdj1VZwr0PPwrVkU/x5w06v0Trr93Dih3s2+RsUWsJ0xclUtSQPZ/NfdOp t4Satl5BbNtNAk7KjZawVXPmnSqygYVe/8FmS2BmVT2FrVYQ7Lj7syWUBWYY YUv+zu7jbLeEWq7WA9hCau/tN3dbgnHfs53YXBf/9Cz3WcK/nbuEsDf38Nv9 HkDnT25TxKaI6nQPj1hCxL/zrtg/QwNtOsctIeXr9mzswbeZnU1TaD554RPY bWwNVq9+W4L4fRMdPN8Gp9/tj+Ys4fNKyFPsqvu8lkWL6Pmqbjm83lKK5n/X ly1htpvrPXaOXoD5xX+WYOi+3RfvV+q1G19iaa1gILOFH+9nwuhbs2AGKwgy +vcNO0z6Z6snkxXQiB4rx+fhc4rb1I7VCv4d7s3A52XfQrQYcVhBTyXLeXye h/2uNcvwW0E/z0CONrJ0Va3h3l1WMKawqUYHWYR+6gPfHiuYYWL5jeOD8ZZG 04aYFfxyU47C8bT621fvr4QVpL8hdxoiz6ilv5+QtgJjgbHDOP46eiYaWpWt YMIzUt0MuXEvh3aduhXUZr78guP3RZhafSVYwV5Vl2AL/P2yLe1tjoEV6F1d 67VG9tNXqTlqbwUgQqvlhPxbjP/9EycrKFUP8sb5FLp1uWXZzQoqLB7fwPkW 0/ri28WjVuh7t3SPN94vK+W1e9FWwEEJbQ9EfuaqpDadawXkwSe+Sciqmrza soVov/h8jc7j/BUmG0XftQI35VVFXC8+jFc5bn1kBTL2TRJpyN/8FaPF31jB VVadpFxkukiF6mMjVrDl+cNHVcjnHbjrKsatQKGHh+slMova4oeVKSsIUEuL q0HmXq/sTZ63Aq/XXF7vkMWS5Cn3N1mDuoFfSDuyWZqc0s+91uCtyeD2B59/ qcwz/2PWoGZdvwvX38Y+zw8FgdYgriHZJok8v/VGf0eoNVCuJyTKIhsdX6FV j7EG/4bNEyrIKzINZiwp1lDDe/2OAbL9K+vJsofWUOzoO+KNzPP55M6ZWWtY PvAwKB9Za+OepPCiNYxWMHwtRA6U/qZpu2wNGR9F4C7y+3Twq6W1AYMB7Y0H yOF2TM9SOW3gloaXXjVyx3C2mZS8DbxryRprR077W3M6+KQNrI1m9tOi/ne8 Pc3dKcYGtDcl+NIjGz3x1DSIt4HPSmW/NyMzBDHRCp23AZnFr5PMyNHT1glf bthAYlBFFjey98jPU5JVNsBavDqwH1nrba3Ljpc2cLXAmlkcWajg6uHNtTZg eC1NVgL5q5PS+sB7G7jclRkojWzemxh3ucsGIpI8c5WRVb/wx/5asIFqaZ5W fWS+R79IvRQb4HRduWGIvJjyRu3dmg38eXLP0Ri53Mh7NYfeFmw1bb6YIe9t LI823m4L7f7mx22Q6e6ecVTiswXpN4wMdvi+cMZWVUTAFrYqXLlhj5ytuba8 ImILJSPrxSRk9hr9qPtytpDxYVOcO/LvnB0ON5RsQTOpb9QDuTn6t3Kimi2Y ZJ/T8kI+q5xBcdC2BbbXSX988H3j6eBJJitbOCzzbcMfuTf9id2irS30+F+R P478LCRJacTRFrzmxDwDkYOlxMkvPGzh8ZjHo2Dk8fsRJ/xCbcHJc2UtHNl6 1/pg6Qlb2KVny3sC+d2Vc/pT0baw6e0T8ZPIReE3+Y6dsYXjrRPqUcicP3af vn/eFhQzmtWikU87lE5NX7KFh2ujcjHIboerX/pfs4Vz+2u24ftRW7mmSFmm LdgVJP3FJkSaL/3KtYXn+1PaTiELMvY7Hb9rCwErj04kIH/7b209sMoWpvX/ hJ9BNtE56/v4JdrPSpJoEvKrKta2P7W2IKft3IqdnSNYGNxkC4FC2iznkLey lTA9+YTOq9i1CDsqQSp07ostmE/ZyJ5HtvcG7dBeW3j7bZq4gPyh58ODim+2 4CB2swZbychi+99hWzD0VVa4iMwj5TEeNmULoYvhnMnI5wqnTSt/24L4O6lI 7EWusKqFOVvIKxDpxe6knDkfsWILHFV95y4h6/izzD5bt4U70Q+7sJ8OXLNf orND8TMgmIIsbL6rTnGLHXibhXpgp9ffPXCS2Q5EfoTfwqZTkEx/vs0OvjLN 9GKHlFStkLnswI9hgfkyjjd+wlOZzw6UO3JVsM1Tmj5FCtiBhe2iO/bb9SPy 1UJ2UBuy9Sy2VEhv7rKoHVxgnCrCzv/uxqB6wA6q/+W9wmaznToefcgO7OUV v2Cf+hDS/VLGDoKv1A5g/1ZdObyqYAfM89o/sJ0eJpaoqdqBNNHxE7tlNzN7 7GE7mHaIolo9PSPytZYd+HNpT2A/oBcYWdOzA64ClW/YO07eMdQwtoM+4lgr dvKUREXcETsoMhqvxl4hPdtRa2UH1ttfFWIf/axxZt3ODjrnVpOwe6Hx52En O2BQfuGJbfDUzDrezQ5a1WgOY7/Y2/P6jZcdcFiOcWHvz3TdS3PUDqq+hI/j /byxdfIyHLeDQqb6CuzNccFLCSHod+tvMdgRfygudRF2wB7WAdhj7qebaKPt 4LxIMS12g156ZmKiHTRzMp3E5zvm86o1+pwdGIb2SWPTnx+jC0u2g8h0+IHj Q69J8bhnOjq/h1uNsH1/uBaRbiCHX1zC8XZhy8Ueq2w7yLrWXYDdrN+vqVNk B6xRXFM4Pn/60p9UL7aDK0y7L2KzXDhUJn/fDlTHDu7DNvsQz7O3wg66Iszs cLy3G4j+ZKi3g9ygHTfPIv/1MxVaf28HjlsOCmFvv3jCZukjirema8U4n2w/ fngz8Z8dlK6UPMD599Xw+LWmEbS+LpHM08ijRlUaF2ntQZApchPO503+Q6Gn GeyBn5TgG4sseomxNIrJHm4PZH/E9cDnkyPnMQ578GSQvYDrxbTxxoTRHntw FZj6g+vLnIlBGoumPSSUiYWFItMc+Tp6JcEenEK0M3C9+1BrIxKeZA8Fqy/+ 80ZOk/zP0/6CPRzMT9+GLcT2YUwozR6uSmdd9ESG1mcTTwrsQUXlzkk35ATj q9MdtfYwtl6s5YjHNzCY5/1nD9dzxFtN8fjPG2TXaBxg+rHeFuy0/UTYML0D 3GSq1jTB429RXChlcYA+w5rnRnj8RpElFQEHeMq8XIr7R4LOxjJJzQFu36y6 o4m8AVW0t6IcIH6T/35FZEedH829cQ7Ayyvip4C/B/X5rnEkOsDMA5r78sh+ ZtH7ziQ7wM4zICOH6yXpsLFPjgPcY3Yzw/2r8ETjNYkaB7A+eawJ97u1KLKz d50D8Cy8FMC2jRPbn//eATj6wsMO4PqXlFy97bMDDLFI7xVDDr1qNjg/iN4f zpm9F1m7rHt/NY0jkP9wtAjh/H+8ZW6O3hGUVWxVsCkVyi/FmRzBxV26dDdy WXW2SS6HI6gJ3E8WxPHS5BISL+wIugOtHgK4n4xMvNTVcYTKwgdufHh/xnmT Thk4gl9pww9eXJ8nDUyfmzjC7NOzwdhmf+4Pidk4wu+Ized5kKvWAulZfND/ /5pt2o58npds2n7eESwGd2Zx4Hr44cP3+kuOcPDKL8DOj8qOenrFEb4EHpxm x//fr3H32k1H2N34F7DHCpLWbEscwYfm4QYb8qy5bbr+A0couzVZgb1KKyam /NgRVr9c9sXm9Ppkxf/cEdTPsnexImuKcT7ob3SEwV+9b1lw/+n7Di3NjsBa qhWPbZ/8rPv1Z0cw02UlsIN/2dPldzvChS9v6/H9Jb+8wMFtwhGM6hO/bkW+ 7x7yx3zaEbg+dN7GfsapfVZzxhEM/8YFYreET5QLLzmCcNXnLdiryocYxxlI ENqubMSE69H0el4XEwmyJjkFsTlz2uQaWdHvAop/GZHF/4W5lnCTwLnPvBBb 8ZHu4k1+EiQM60Rja7ryXrqwiwQnaWOsse3rXlYd3UsChsvFLNheoSkmjgdI 8DAic3oLcpCIy6jRIRKYhL//iH3uLC2bhAIJ4uo+XsJOV+y4LaCCxn+ZF4id /+OOCqsGCY563LXEfmZo4D2jQ4IOOT1B7Lcr/KuDBiR4f/MrA3bLg59pX0xI cGZ31gy+/42xXnldbk0CnW2XGrBna90sC+1J8OpJ9WPs1SDZyatOJBj5xZiH zdnexRXmRQKRoo1obMEzJfc8/UjwxLbIH/uAfBRhHUCCTj4nZ2z5caMunWAS NJ4VN8eGGwL+CuEkeKPKrINtoj9Dsy+SBMudq8rY9pQ3N3hi0X7MLUtie927 KrElgQTckpv2YQc5etaTz6D17ucWxGYpmB5Wv0ACOvG7PNj3v4dsnE4hgdER H3ZsA7HlXU1pJCi7bMOMPRGQoM5ynQTX+oO2YAsvpUbdyCNBfjz/JmyX+Lwq oWIS1MwYUb3WINrlfZ8Ep1bYGLCzGcv+3n9EAt1vP6n/r2wqxzlbQYKY5EHq +F1XX0orPCdByup36vtDuzWPRL8iQY7wMnV+7Ds/Hn/zhgT8zDuo83/kap5C /44EQd+1qOszudNz3/ADCQ5aB0thT0+6fExtIUEfQ4EK9oVDEz862kiwufAT df/2hR7fzN9FAuLzPHV/G6oWRF36SMChyOGC7bYao317gASMp0UCsNeJTR6T IyR4arcvBlv1I0dB6DQJrIxmc7B7WbNqns+QwPN5+UPsE5ZC39bmSeBoaf0W +0m/JP/5VRIcqlSaxBabMc7IYXGC7hscWji+GmU7ngyzO0Hi6GVHbK+Tjm17 uZ0g5lZ7GHYBzVHW8l1OkMxdWorNw3Xu/DtJJ8jZtXsnzodKO9ZiJjkn+I8r VgXbMvfaOzMlJyiKOGuPfXnvbdo+wgmUN1/NxKZXfhvz29wJDgrLC+H8LIrV z5a1cQIZ9TxtbKj7/OKkgxPwdWf5YscYDSzSejhBOZfmE+x5p5UgnjAn2Iid NcL5P3xa3ou47gT8Tzmv43qyl4ctNTjLCUrG/d9gH7v/43lhnhOsCOyZxv7b ns1MX+wELx5eB1yPNovSPv1Q5QQLI+5z2IcaW2kte53g7qSjG6530Vt9C7x2 OoPNyY/uuJ6+yYeP13c7Q6J9VTo2vdyOv40izqCU8rgB+zKpVe+AhDMoK7/Z y4l8q0xu5re6M+TX7JrGbjSj0Tjp4gyCtmKhuH5zZWR9vVjoDEYnsqn1fmsX 13+hd52hNXR3LjYNb2oT6Z4zeDnGNmH/yk6sPPTEGWaPVO/C/aOxyD/1v7fO 4Ji5+wN2ZIWGFv+wM7TvjuDagRy48FyZbswZuLaOq2F7KcpK/fzhDBUVO7yw LV7uE6j54wzH3DqfYovXb1ty23CGeN7j5jsX8ffFyL1SQRfYrpURh/tXO5fT ravCLtC9yliE/cGm+0b0Phc4u6zciP2sr/mMiaQLMI2+Y92FnDry1HlWwwW2 8vlmYcPcWQ5lZxfYr6tXhPujohwN4x53F6Bbpq/HloiIXmfydgGnkxEj2PzL gT/7A1yAn89/N+6v8zT27+NjXeDEx9s3se+yi0c15bjA9NSeKNyPJSccKPS3 XGDObd8N7KpXF09q3XGB476fKrAbfaYiaspcoFxuaRp78nVp6NMaF8jNrrHd g/tTeu/cbJ0LPIt+Goy97MsYItnoAje5dZKxt3L5Bd377AKGPEqvsSWO7g8o GHIB27igncI4Hw7b/fz2HY1/XE8WW2P7+WM7Jl1g0fSVAbbZmwm/67Mu8F9k Qjh2EHex9yVaV3j/5EwTdkWdqOtJEVcwSmgiieB8v2k9WLnfFYxTHgZgNwQk Oc8fdIXoeaU47E7eMdJxeVf466uWh710/La9p64rOFnN92Kf0u7ouWXoCkqr fyewt/Bvshs0dYXr3JkL2HzvPGwcbF1hKrSZTRRZZYew5RFfV/A///Mwdv0f i/9S/F2hPXq7EbbR+9PmzUGuMJA4bo3tGDxiphuJ3l+YeBR7VJfjc2KsK5zb Yx6G7b9T0/Rtgit8PvchFju28Zax2kVXuNrxOhWbPretOfKyK1wTUb2JfTmE xqjqqis4i3sXYOcLuBnIZLuCzaGmR9j75q80Bea7AnP6xjPsx01v9MqKXCHr 1ORr7Lehu3X3P3AFs7efP2KvLP5JE3jsCjotR79gy0e9/cbxFO0vXX0ndmm8 e/jaS1fgUiobpM6fTvbtXK0rfLIlvmMLnKNj+VHvCtuM035gp6Xcvv1fsyvQ TR37g928LfxP42dXsPuwOE9dT4aO2ut2V7DvJpawD/Nwn3/S7Qp9Dw2XsSOz xtuLv7rCwymuNewKgSrB3EFXKBEtWMf+VXDu2NVRV8hd/kmD75/7ROyqzk24 gsumVTps1+L9dLHTrlD3rYUeO/MAxTRkxhUyhTw2Y7eXfcjymXeF50dfbcFm kc4aJy25wrxlHyO23tOjMhYrrrDz5Gsm7AGns2O7aN3gXH/nVmzeYRtpLgY3 uH6ciRnbwnNfLCOTG4xtcqX+fmliqekfixuwRnyljicmNnScwuYG70abqO97 f7SJ6y+7G5TdTKDOx+PB4+rfnG6QKcnAgL3x66br5HY3cNKy3YSdK5nA8J3H DVqOh9NiKwf7PRjgc4OXxm4beD+6nphb9O5wg5UTO/5hh/5VJrcLuIFb8u0V 7G0Ke/JaBd3gjdAaGbvsBJP2ByE3mEaniz2x3JdaI+oGxc+nZrDPqNXLv9iH 5hN3/ie2UNz9rxVibnBJjUI9X0eamH2lEm6wq8N6GPvzZoHadHk3uPKViRo/ /gb0XpcV3UCs2awZmzH5F9MFZTfg4vd/j63FWmMTp+4GKYwSr7CruFx+++q4 wZ2bg3ewrWz0Mjz03CD05+987NkbkirOBm4wwdCXiS2+YyPJ0sQNvOt1Uqjx L3RLQMMarbfhdAg2W7LMh0O2bsDhWnQMO/5vfZigvRvUed7xxHZrHG/eILmB wCszG2zhgINR9Z5u0L3PWAm7+HlVl36YG4gfSl/C+f/IrDXVMt0N2I/R+WAL vnBR1b7mBh5px52wr+yZHZe74QYuv5otsYMXODW4s92Ak8WFwJbNtv/ZU+gG xxzmebGrxr/rOz9xgyU9W2o9q4ldofFrc4OZexeEsZceT8wmtrvBJI8RL7b0 9/bhvE43yH7DzIJ9x/DB245eN3iaeHUR19dkHqcEYsQNTjA8/YBtW16zwTOP 1nOpIQj7z/eE9fdc7hCtffwdrudivMdnhrndYf0P90tsDyOHwVVed9DR/fQY u7tcplZGwB3Glp1ysF/HjcblibrDlhWRMOwLvDr/whXcYU9Hxl7sPcZb1kTs 3KFNd43ab+S7tNt3OLgDMXYkDVvPNaGUg+QO5cGVF7CPhS1bb7i4g0dBeRR2 Zc7Ph1993CHO56QT9flfX1yvnnCHFbOje7HtT7AoXoh0h6K2IUHq/9MYssRH u4MS/zE+7Cvb618EnHIHhnfVzNi96pUcBufcQXFU+y/uj8cuZzasX3cHVoul 99ixvF1Zizfdwcqq6C12aiFH8K8sdyBLub/CfvosWeBrnjvIavA+wV4biI14 dhfNj8kzD5vNr9q4rMQdKuBOJvae+cU9t++5w79+cga23uagz2kP3eHRpm7q 9+0VSff9Ac/cISkqIAq76EXeP4/n7uAnR0RgV2p97XCodgf+fpEQ7F5bqwT9 Gnd480L4KLZwvG6f8Ht3UM5kcMSWZ0p8zN/kDuwbQbbU92XUnmX/6A49K78t sf1LlGTXW9xhP7eoCXX8Lwcu9XW6Q0paOIGdJlJ3d6UbneeQkjr1+ZP2b3f2 uQNdLbsK9X27zy86D6D5+9DJYf8LFWSPH3KH1ZYd0tT5NT4TvzWC4mdN/xB1 fYFjrqPj7uD2d2g/db/rY6I3TbqDg63RXur8eLiui067A7z+IEzdzxrNZp8Z d9jWTCNIfZ61QP7nkjuIn7Lnpj7vrniEZRmt76IzF3V/n7UePbTqDpZMERzU 9zut5QdtuIPg7a+s1PMqz6hOo/UAXQcxFup50h/sfLLJA/7VnN+KrVvmwLSw xQNILdFbsIVo5kS4t3pAHifbZup8rC4cVmTxgBKooMfuKdntYMfmAR9FfTdh V6xWhUWye0Ck3iE67KO3x0tfbveAOLq5DXxfEzLePrjG5wH6gf/+YffMa3ER uzwgq998jXq/yw4xOL3HA2Ryp1awdbRuxTXs9YB22sZl7NWpzxUM4h6g7jJG wfZTkdiVLOsBQVrDZOzuCxfPs6mh57u/UK3TOzGXru0BAffuUp9/sl/HidfE A3QMrKnj+30Jvepg7gEPyiNXsQVPFjbmWHuAp+Zn6ny6BNtWB+w9QMrEah07 pXFdWsjZA74Ib6bB61vY+Vl2h7sH5Mi+o8V2CsmT3+7tAUaW96j78a4xQJHt qAfsm6hkwD4koK7MeNwDLg2PU/f3RgizKl2IB3TKqVH3f73xq9pauAe4tD+l ns/nkChiNtYDCl9u5cRORLXm9ykPODYYTj1vxSYDzekED+CamtiOnS/Apz2W 5AFyEqO82EFNVXq9KR4wXy1DjR/2XQumb3M9IDCCV4I6v6Z+s5p8dL6qs9T4 jAxtOPLyFlr/p89S2MNN6RaVdzzgx4dcanw/CZWxKS3zAIakSDVsyw+BTmmv PSBWlIGaPxlhU8fcvnnAcmlMEPYOvegQq0EUb8dfU/O1iI85Um/YA8J5N8Ko 8VIjcVZizAP2fLkYid22JbiA8tMDXEsqTlPrR+5SR9oqOr9euIZ94d0mjbod nvCJJbyaup6b17QrBTyBq+sNtR7dPLrXqETQE1xjt9ZiF7Pp210W9oQRrVzq 98B7++QQB3FPKH1Q/gmb7jd78ZyKJ8y0XBug1jtuwW3CDp5wqZuWBtfH1idM jgTJEySCCDpsQbPFO07OnvCYNYoe+825FtWb7p4QbjvMiE1HifZhOeYJN36f 4sA+/7WnZinaEwx+rOyh1tsTDYzb4zyhToIigi3G9dhKJt4TIt3mqPW72fjc lP8ZT3iR0nMAm6VGnnvkkicIfwmVwU4vuBrwKdcTbpd/J7C/q8U9n8z3hEqx Ak1qP+n1o9tciNZ/0lYbu4sdMuGuJ2QyvdDD5kucaXj20BP6ZjRMsfO9jHfe qvWElxesHbD/0Cj51Lz1hKpnbx2xIU/4ydd6T1ic3E/tNyNdy3rcTZ4wFfbD BVtUvzQ0+YsnFN086IV97wBDc/iwJ3QsfjqOvbYtTsJ3zBOMFIaCsM2WFlId JtHvwqMh2Av1Y1aHZz1BL+Z5BLb+Pacq6QVP+CeYfBI7+0onnwjFE3i6jan9 D5zeDWyh8YLgl9mx2Bla6rCyyQuc7cROYU+IVRb92uIFUwx347FTFm/7/rfN C+ROBiRiy9ZnSFTxegFt63wS9TxSz8xl7/YChkaV89inSGFV8fu94K+Q9kXq +sQ8Y7ykvCAml/0S9XwWLMFQyQssyLdTsIPqtBgkCS8Qm12/jP3SUfgK2cwL jjxko/bzzQu0/HUuXvCyTPMqtmTD8VBKghdcuK5KtW163yep216QV6qcii10 Tr6o5oEXOEbxUsebjroSaVzpBcZHOqjvrzw+bdb32gvotvknU+frrrvX970X cFiOUO8LBja3VhdavSClXpm6Hk7D1f8Su73g3Nbws9gl0k9O5f/wAoOPt05j v20o96ef9QKVw4XU/eq1Lbc/RvGCtg9pcdiMcY9lFZm8oV5en7r/fh8fTrSK e8OhP47B2AlODzvk5Lwhbt+OQOzMP2Vvs9S8odi7zx/7A3dZtreJN+xgcvLF PuBx3+zfcW9I1E6lxs8d85+d7RHe8PRBKjW+hAgJUmmcNxTtvEGNPx6BR75W l70h/3GzLfbVrX9+i133ho8FK9bU/FiWCl/P9YZLecpW1PzrfpJwr8wbdPMH jmDHvZvfHF/pDRHbdMywKRVyl61fe8P9Y89NsGeuPMva+OQNma8aDLGPnlra 3dXhDRd2OxlgjwUoFd/v94ZfhjT62P2G1RU2P71htOC4DvaOCI5RyzVvkGhe ouaf/a2jHOasPkC72EXNz5uf6sBU0AfMD9Eexu5e4g82kvIBxoRAdWxr0+bP OhY+wPl4UgW7/Xb0ISLMB24zkZSxxw9OVJZX+ED7pnIl6vyfWqgLz/vA0ZBp 6u+qi1mOahy+8LuNTRU7VnE00lraF2Tk3NWwN16EPjsX6AvfDu2nvr/9hi+/ TpovvJV7RJ3f3XCnONoKX/DVVqLOP9LSYqS2wxf21l3XwjaW1tONXfRF9aee Wk+YmlR7wuT9wDikVRe7yVnqqH+YH4TFO1D3p+RQ3LkHz/1g08BF6v6d/9d8 ++eqHyRkSlP3d0dPXuviPz9IX5Cl+lF5MHljww/K9ylQ/T96RE5t "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"eP[t], R[t], X[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.417827244169533*^9, 3.417827263692507*^9}, 3.417827600345508*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzdXXecFEXTHjbdHXdkyTkLIiBZQHKSHCQoChxIEOFFkiAooKIESaIElYyA oAQJIjkoKhmJS845pwMu1VdPh9m5Y4+dPd73n+/6t6mn66nq6u7q6uqeuUaR /bp17hnZ771OkXnq9on8oNt7nfrmqdOrD2c5UxiGI5VhpCiWx8B3Mgz95vtL gzdrTlIZDcWH00pudMS7A1lOP1c74F1kOcRvdyLWQhRLKQWi//xBtrMFmSlp id9NSGb9lLUxUiYo76ec/uzgB97xDPj24lu4P4mT+jQyJl2TTqbuDVdiumTV xJVYsiTAOwQH/owqSDFDnqURI9KUxJGwdNI69lc6aWwj7FmIdlpCVMPSKRNe lUz8d1R/Xby9n7wkwduZ9XU+g80zxoN43/Tfud5AXqcf/+hmqk5c3yyv1zQl Woe3tAmpGtyqKIT1TlpgZDC83muSk/iGV/r/ct7/Fx7/Q75mK2dO2FTN45tJ ko79/t+o8f9pU71Fb0mSsnWNrn4gkpHnn5WLOlNnSZImr+Hdc6bL/5Zbd+ou SSJyGd4ZywgU8xSZ1f4lIhtIAyVZ6jyGt9+XdsmG0BBJVqyK4W3wjl2yETQC VOF733nX8OYrY4/MTZNoEsjSbx/xpazfX15D0P4YmHYaTQNtrk3LZkvamb/a pp1H80BbZNXh9VJBfb+wTbuCVoC25NLTGw1v8WqG9/W2tmnX0lrD+ufN/YpN Wg/9QX+ApO608wsN79CvZZ3/PirI5wYm30/7Qd702wusrrmrJPncVXbJj9Nx kL815tIUcJXkQ7+2S36RLoL8vaFXRsu+zxX3tu1pl/wO3QF53wHXhknyGm8Y 3vKvByKX87gHpEN6Xv9QknYZaHgzFja8h68I8jm2yEd3uvm+JP/oK1n3pVuC IJ/85u0OkvyLKZJcjUh75D82uvuGJP/nmCQfNCYI8mU179czLQ6PTsPb+r0g yNe/+vA1H3nt1jCx9siFU/pPiUelfOTQ/guFDO+Rq7Ljzw6AIc2lSxJ/OVXW fssBW7SS/9ms0Tl8/HXPn7faHn+JcSdVXGofxqZ/JcaI74LBiHOw/2piHL5i eNPlN7w9h9rEkHMEpzQ7j50wHKq4t0glw9v8XfFL4MyyjZN3/cldPhw0a/nX k4NTasmZ9T6c9r0Nb84SycGpOfPcYh/OwNFSx3vOBIvzxtcXp/twflgscX7e ECxOp+GXx/twVm+XOF/PDRanz4Crn/pw9p6VOGxGgsQZ1uNGfyBInGzFDG9k X5+eZ9rCQT8e3/5WVx9OqVqGt/7b9nEEjEnNU5+3TJ1gpdhf6HGRxbXvNfDh oNfkKB4szh+lo8oL42TifDhSanf/hWBwVjagBjuLPSrpw/lqusRZvycYHPig x3I/yefDmbNS4ixYExQOu3zX0sdm8OHo3jfxx6BwBtGgJ+54jw9n1ymJ88l4 mzgyVDKKExOk3HfsrAmV6UVpzHWTzbAH9R0nJsi29cR+E6poZcPbrFPQUAs5 MUHRlaf+MKGqtzC8lRsHDbWGExNUXHB2lQnVqpvhLVQhaKjtnJig/nfn55tQ 739ieNMXCBrqGCcmeGfUpUkmlHb82BGwBSXnz5Beg64O900+eHFXEkC/7whK pniKx0T26fs3+j3Vy+f/HhQU/11PF5v+m7a3OplQK/+SUJN/ChbqaJ4n+X+q f6+pCaWd1GETg4X6u0RU6bUVH1R1aShM1D2G+Npvum2oFQ2p4a6XHpUwoQqU M7xvvp8cqFntqf3JnNG5Tahy7NTVaZMcKOpFvW6njktjQtV7S8LZhvKF34Zx YiLHYe8Vn515q4fhzV82WXgTODFRhn+OH/Xhdf844QCyiVeqFA8AdxwZkTOK rjy8y4fH9k/0jd2nA+JVS6Q69SfGlYwYh9C9ezKEGhFBlDnvQ9ZG3Jayta+l OHLkmm/mHzdL8ly7KyDPquLDjAqIIewW354KqtPnn0veW7cSlohkTOiFTY3p LVo88vHmpXECLyhI3qKe1t0PqlbNsn0h3j2xDgel2779ujQvSzZLjt//khyG /sLFMi+C4uN9Ozu8rERnmdD+p19Q6d4DB96X7DfslezHzLDXvn42Nywt7NN6 FCdm+GG/a0P+LFUq+ki+fLGildGTBMMhE2z20AQt+SgkPmTUuzd7vD16NLoS 1Zg167asCHo99/5kYF5+ISbTd61utwv999/r91OmjJ/Spk2UxMSs1qZ7cjAP 539SaFG9e2KCXVSv3uOLmTLFyfpj7VCzZXIwt70SVXZdxYdVQNR+5EhR/5JL l95C+El4l8nAND06Jsry55834lOkoA/79XsgLROvgMUVI5P0x3/8zfB26i89 2UbtDW/FhoY3S1HDmzaf/EyVW0YM0BaYCuAzV2lqeBu2M7ydBxjeph1FgFjM g5v3Y20rRG5t3+jx35x36J0TuaLzqEHr2l+oUMy6ihWfGN6WXRGjKiay3YZ3 xwnD+/E46f1D4jR5QcJ9L7WUFIE7rOYqNRKxUOGkvdpA1rzumzJk1SRShlDw PXMRlyAPlZVD56jVyvB26CMXYd/ON7yLN8HhEJVqGlSlqCf1vJkmNp2qlHtM ZGTUo5CQ+NB/60WaAb8XxbWUck08bYnUJ0KruA43E5L2/lxe27hPLsRZ2n3n pJlht0OEVf4zzPC+0UVWOkdxWalMUidYW6BVsVKG3vqPkMGEdh/IT0As3eKD Y6m824+Dm/y+9aBc9UP3+L5mp0PYGI/hXbdbkuK1aL3sBLOWO4TiuLVGfi/n e2gcoaMBo6ALdgj5WrdBUgK8MPtyazpF7cNlP4TU6Gu6pbCuRr/D2g8t/9Jr Is8lSjhlKyO6w06BR+CEiHFu8sALa72Xq4re4BI5TokJPvxLyhYqeaK3wHXF ddChB4FHl4GymEsWQVEU69AnTCPCLQEX/uXyk+cU7+HyNzobJNNSoLsjHxpD e+E7f3pQivlWqB+iMdDDoTcrlxLVTUSHeI9IUD+TBnoBMsYw8vGJ3226ezQU qossrnqozrMI5NSMK9SXsFLFQkRDymjWGVAWjqGJWXA5s1YWnUgWIQlqKl7Q Dcqxrty6pD98X62eLsfVMvOwbFIaSqPzLD0lmx+Np1J51KUL0fbtgQzBEBoS n4JSaEPQePLkOzD0FRe8v8JcahfSI3vnSWl74CzjGoLFrd+Ty/v9F7KJYmHS dq/YZninLjK8g8fKhkBEArWBFeRxkkcAhMggP8YNXjBxhV+VcUj+7RQmg3tj 6drS3gcz5lAGOKwpt8BxyjLA55dDvHNerpJyPmHeLp0HXphT8pZGOeYQKu0e zDD4QWZcx9wDK5alqCzmlkVQVFeJh32ohoXZACv+5fKT5xTv4fI3aCGqFgVO O/LzlJKmBN/504NSDkgSojFgmFFxKxctuFnxCB8yuGiaguUlMtoV+fjE74Ll PRoKbYQs1ptZMYtATs0YugGs1LcQ0ZAymnUGlIVjaGIWXM6slUUnkkVIgpqK F3SDcqwrty7pD99Xq6fLcbXMPPBTGkrjp7tk86PxVCqP8uUj+vXXpwdfRILB N54Tu1Hpdhw/hrGTads25RG1PCQH2C8b5eKKa/vnYbncylxEdjoMhEkLDO+h y2p8phPhNTENzl4hlxazlhveb+YZ3l6fyrAJJrq+X0jz1/UjaXJgipCP7806 oX/wxMs6GD1N+hjf/yLnTnbGHJhN5QTrlPMuvCodCS4WyAPxJKj7LE5MmG/d yZ3Ks/LmzRu7rGa563qBkk9ke8TKzNu4g2wMDC44E8v/FEz72QqzOGkZp4Qx cdfspk0fXcyUIVqy+2p6Hs2ONer9fJJkh0twEzbsFew+DK6OWzipCLpi+p/B g+/Dvmb9I7wMlru5tff42z/SgoMhPCJWu+A4MDiO+zkxYYuJF2coji0mTrwL jh/2CxuFbY2cmiO8OhhuVBPdmhtbcBwUHMcLnJjw3c8vj1Mcc27adAMcZzWN WIFpKofmuOWAtNmoI2ZKvak8ODiOaq03oO+1T1Tg4ESuXLGL6qXfKnp2dimF 4Z2y0PBmf1mOz3GzBKdPguMEZqHxoV91vNldcfqlTp3H3rzhl8SUklVX7OAl 6TSiYmhE9j0FuyFBs7sXHhfxV8moMordp++//zDGmSIuZH/uCkYW60oDwx/s sL5h9oLd0KDZ3Q+PC0fsSrFrNX686CsllqVuaGTWelyzU4aC0VGUHj8NmtPG 6lR9c9mHFSUnV7EVK26B05tjQ3si/J1RM/v1D9kb8Vq0XjD7LGhmv7SgFocK PCmsmGGlDbv6cS/PV7AmL2hm7PSLWsH6r90lmH0eNLPvO1NnrOlV0O5s1gxR c5q4FguLmUFzwnYX3AbME5v3C07Dg+ZEA2gAIhKK06qq5e7sLeI4JEJY6TWn yT/J+R79cOM+wemLQJyeOqRIX3LiThX679HzOjo3NvKdew9DjagURwaNwWQj 2SF6hoohuL/7tGD3pS2bLCI4NJkT88m87cQhxabbsGHCQubc9NYII61mg5kO bOCA7z0r2IwIvlbzOTG3wqtP/aVrhYgO2FWbU3UMpnlfc0GJqNW+c4LdyODZ /caJ2ZVbdOZ3zU7bxi6f5f/WSK3ZIdCBnoFgza5Tgt2o4Nlt48Ts6kw/v0iz cxw+fO2xxxkz6t3UM+GcSHYI5sP9K1nDDB+MDp7dIU7MrtX4iz+ocwDOI/nS 31hUz8XewoGL8GQlO6zE4XPBTdx6ULD7Knh2ap7p/NnlsYY5AF48t7uo44CI B6TU7GAdsfuOFcLvOwS7McGze8CJ2fXvz1ZVsfu2be0zt1OnuCvaK0yz45qK hQ26izJYYwOx83dk2xnjjHcN73ajt44N4733wB6X0V3S7Rg0DQ6sZHnkqlyN ww0cP1uwHJcsltjm+bbt7Y5Wlk0mTRJzQOnFjScolnylz3A53fDqT/Abnyx+ iKPNbazOzCh+Ly9fLmaCVuOLjYOfK6+Mny2rx76X4DchWfyww7Oi2v06Fn6u iD17roPfwD4R4+AEubVW562WjYjGPHDxObhuqEE1tpaJqqCBAXEtfeiDKW3c c3FSUOWpkQGWvNDktbVg+XWyWC5uTs2xe29lubtonrsrq7k2CC/Pqa/wcl6M fSzC1u0WLCfasdeK0fSO1PFc1pjsVkZLa9V6fKBg6Cnh3DmswxBeA1px2ETB 6Jtk1W1cb+p9NyIulYUle2QdHz4MdUenOJIqj1zmrPpbru8xnU/+SbD7Nlns 9MZZiiPeq7qGek7KvqXIGyqoq9buC9eJEs/DTy0C028/flTx89SdNk1EYSrP m3pOrtza9kTgU7CZnDw2P3JiNoV+P/W3rlbh1atvgg12N2QVvkse9jpODFBp /tmVGjtk/34xzAb17v3gubB3cmKABlPPzzPkWHVefuGFuO9btXrkU/3U5GEf 5cQA4vCkwv67RInotSK8/5zYlzkxgDhZqbAXNGjw+DgvVZ4b27IC0tgjunR5 +MTtJsz4ycJWW3vRrnj3F11vfGAd4F0//VTs/uTYvPnG82BjxwGnCqzYvq4+ 7/bzYJ/OHp1zdtO7razYT/fvQNhOyyYn7OmS2vfrWxGf7tXJk9Y8IeWVKzr/ vXpKsrBX1af624urs51J9urkYf/UmlofyfekoBV7Pvfqkzlzxj4vNtZRFzLH ZLViD+/Wjde/TnIdOvRc2GP6Ul8sra3YkV9+KXp1vnXrbj4P9lA1YVixq8yd K1YVdaZPv/M82DSWkz5bqrCzb9kilhCYlJ4L+wdODJBz04m9Ght7xlGhofGj O3V6+FzYP3FSZ8AQUgPEwQIFYhbXrv3Y10+CnMk09ipODFB+IS+rFPby6tWf /Fu4cIwt7Kr48HdDm1iXup/BWZzjIKPWjHO/aM7j27ePwi6+Lc5JnmlIJIPr GTL8y4kZNfvmwiwtQ49PPhHuSeZt2278d2VwW5bqpzgxeruRl75VfOt/953a LFpw257WHX5qF7DG1zkxfI9Pro7QNX7asgdZ46QPsviX4QknZvRRn+uDtQye AweuxbJtGtqjx4Nk9WdV58eeeM+ILjf/I10/CXEmW7bYOU2aWOaCScnCxgJv 0lu3I63YG8uXj8YZmefFPpUjOtecJndbWrExf13JkCHuebH/Lfy46NJa91+3 Yg/s0+cB2hwLuOfBxty7oYKaexX2G19/rQKfy249DzbOt+x4+dErVmxgAhs8 ngd7QRtqY869ClsvZj9i3TwPdoK5Vy3Cz2fJEjezWTNLHwxygaOwx/ahPub6 TWGvqVTpyc5ixaS9ludMUmOOqzzv7Iof3rjTltu+PgITh/M9KbS8+v06qys/ qLGj2KOSOIuFI7MNp1748ZUlZza4DnovCdHaJUu0YUNpqDl1K9HGRkZGPQgL ixeOtFS2iw3+zxvLP6y0u+ij4jhl6xRE7lvpKF20m9xXM1EmfI918rTiEtc8 +I7ww8S3b72L9cWLv53ahiWlkPZNO26okpHGcGLI1LuOndQydho+XLgu+deu vWnIbTKn69DRS2+PvjR5b5HHxdigCwEPvkQvEeq4hNNeTjfppsINpUec4jmd 47SZ09ucWlCLdbWo1oNwClcQOO/OLVB38AfXP6o259zSiD3H1NnMlslSuY74 4qC5rk65RYvECMHhA0Nuw4Xg3Grkl5e/Pp7rSV6UP1CMiokzqMfomLpxO4Ji OWE+ZE8GgYnDRagIDjOgPPS/78XHL8FCTW19u32ZX86sFWI3S57Y8zgxbP61 J3dosVPt3i22FcZ07PjQkBt5HtzGt6vYoxIou7MMlaFfObGWJQc33eYE/2Uw DV5Th+pEhVGYaqwQjBGccJ7S5nb7Dz66+jlDzWo0+fzc9NuPH8N5KYZPiXg8 TuBi17T04jPrsLPYZNKFOZiUP+t+ow8OWn/+3o0+jpGdb/Y0xBFuHDX8vfKD 6uezxGT7tcb9ejgmuKbSg2po2EP5nxTCEb+zWWOyn80anR0KwyKN+3rlP0tF lcN3mDOHOAfoXFntQW2Qi5OGTvm+8PV7TcACL8Mh3kW/x1UhhEe8R2DvB/eW 4BdeYzre6v53iUel5ze823x8+1td8H1G8ztvsoh1xT4RCjnWsOBhAsCJTFy0 gDoX177fAPnil6xzuAZGwyMH9QBjDYw8LL3w23BLnG/a3u4Emh9a3nnbUPxW VX1Qaz1PE+KXS7ynBY3Owws8QDem483u8xvea47vVqzEZUIlNFoYWfzZwVB5 VvFUVcKserGKje/QDERUZZ1cpg3Kjm93q4vGtOrYCJF5+G22jaT1WGmRo2Vx +4FOKfN0bcUvVQ6aNqFVHrSgtWJkkHlWjRiZ/Gg7lcwbOYAGCKtlc4jCyPFI enn56S06cB3jctHp7NmlPyL3oT2wLF92udELZWHoRGSMh2hOAeOhGE44LvA9 p57Uc0sVqnIzPaWXdj3TjbSx6eCdrK30oCoPqayrqjyoZdWZtW11Rdn+tJvG sxqUg3A07rzEHV9X08e+cDFTTJYHYXEpUwr4CEwnmErwOpmP8l3JTJkfpqSU /xan4rtKU+mtr9FrlJFTUU5sqR2Ui3KxMS/BiYWk6pwqccL3spy4yPqaVNMF Wl6C8XwAVLwMp3y/nIWywGgKU+QEX8Mp1GLIZAjzqy48CqVQWFbxyyHew2+n pbQAgJjIwQSJco9DKESXjXGRC7/lnGk476am1KC5H0ERRpjMe+IhD8qJX/Ld DRqdhxd4cG0hlhPYwAB/I1Ri3EtFqZCHT51nlUPJHHYnDaVBOVTUKp+e0SGL KiuUgbKg0ZjWOhshMk8r0cLHY6VFjpbF7Qc6pcwDJPKkAmQeVGpCqzyoDuWg SiNDQlqhkkx+1Jpa5tHPnPTwecazWfTIWs1Jx3fVyNpevHi0GcuU2wFuhLAx U6Ds9nJUDvFVo6DACBfxUAyr9zh9xKkHp8bUeAf3UmjlRgbKoFtC+VAZ8V2r Ap0V3Vfg8sxJ+Tlhgu3CqT+nzzl9w2kOJ0y6iEnv4nSSE3yEI5yiKEpWrlbg OlvX+qrOiLFGs0UR0Sh52tFVcM2pf+CVo8dHzqAZxRV5HCd4V/glgNsFZglb xywbT74wR7N8a8wYsTApunLlTXXexAVX8lLGmMxwOytDTPxNCAx/nBPDt/3q 0mQNj/P8gG89btxddb7E9cqS0xsAfSkrZRVaw9/XgeGtAW8Fj3ApwncI4+nz JJD+GluwM7kpd0HcSYe/iYHh1YYs7vBQm6/OQwUKxC6rWVNGlDL64DFUUANR Y/x9kzS8CvdghMFxEiChvsAmTx6yi6szI54DRy9gFSDcTPiE+Ps2IDys/QRM nxZ43PcA3afdseO6gndilhDQM2mmBJkUEBv30U9vcectKzbijqTvV1EPeEG7 C5M+iAZJkMkWbKcl9oWjM/AkrYjpt2+/bt6tkd7X92FpMUUKXzwxqH+BcQMI XEkBopoSpgRnq8QvderDffDoRegapiHHeTovQKYEgHdsKRv1qjwL4JzXsOHj c1mzxllBP+51fSC00IRtkUkaCFQu7PWNK1rmXoMGibAbbmRRR0ec6H4wZ1is S5DvAmJTa2oNlVuxK82ff9tcEqlzIlg+wjOHPugqJ5vwkRRpPmtBwafct+86 LBksmoJ3YpUq+sdUmipBvg+M/T69fyt1rNSt0vrWMmWi/ylRQsaXZMTdhXXL WfZU4IYI02gTfiANRHjMCv9F165iowuHuhS8c1Dv64MgepUttEWC/BAY+wtO 8GwOeS9r7EZTpohhA+2r8yvOtDuOHccciy12CTItMLba0xVhe4Wd4Z9/bsQ5 HHLrSGHD4ojhvo/22cZWd2rn2Hxin8bZW6RIzIYKFaKtTQze8AMWtqJWEmR6 YGy1yhWbxOG+eAi2BIS+FTY2HiH3K3toj23s5ZwYWzyfR2E3mDr1jjx8Nee2 z9AcO4YJf3U9qidBZliwrWZKbzsjaKQRsSZHx0Yv0YgLGtxrJjo2a+5pxCSk /ZMT09T74fxPupchaMpuT4w1AIcxibDD0UJUSILMDIytDumKEL7C/rhXrwfo HSKEr7ARbhFyz6JZtrFPcNJb2gpbn7Dp/Nln9zQ2lu3CjpgukQ1sdVenmOFT +ez26tdekxuLapM06x8nDsDrxKabBJkVGPsOJ0M9lENhYxMKIz3Nzp3XNTbM N+bqAnjukV1sGBzGRghLY1dYuPC2uYGgDsdgYQivBIEZE+QZ8B6ZlyB+H6G7 xZFrN9Omjd/34osxCt5Ze8b5n0VzLqSFEmR2QGzcDG7umCvRDxQsGBPHMzG6 ur6TeF7Duy2wSKXH9NguNuYE+BsW7BC9G//m2LF3kRO+99gZLComs9cuAeYE xIU3DHmsuAimwpVa/+qroqu0GXtRGDHx8CybuHuKPn7ZdBvknOVB3BteScE1 a25idS18Vj2/BIZMsBUgId2YzdHrJrTvdFesg/GcN0E114In4BTKb6/T6ziz LejVEdKf69Z9fDci/SMyeCRs5JQYwL9ACc5xKSgYR7TJvVQ/9Da9rMBQP7al ttiisULBe411lt57J03BqxQTQzahsGbDCWcrFE6ZkvFrY0hGs2fbhmKbYD60 SUK5x0beei8qLD4llSwVRwV5vciS2e0U9DEnHcFXeAgV/16X6tLy5STEmzbN Pt4ITowXtu/oOdUjQrJvOSG2XEUkHn8VKxJlzUp05w7ZHWy8RvjWPOWlcDt+ cVk8UkHMB/jbvZuI5y6qXt0+7nROjJFr08k92pGDbb+QnbKLEvrIUOXKUhdz 5lBAu6mx1XFpsYmvjA9sJAwNwu1qc9RFN28S5clDlC0b0YULEmRmYPiVnBge cWwNj7WnUAkeBOhS8AcPEqVOTVSuHFFUFBVXIPG8uL51i+jUKaJLl4guX5af +OsuuVfFh2+n3+o8+JUIA1U7FEqi3gOvfiYkwpPy3EqipUt5ocGQjRqJzppf ZIfRVXbJN24U/Y0++YSX/Lzmz55d6iV3bqK0abHvwnyNdBQWRpQuHVGGDEQh IUTlyxO9/jpRq1ZE3boRDRhANHIkL1157Tp/PtFvvxFt20Z04ADRrl1EV66o dmwjq+pvk9vfprq/Z/jq6v/NSR+1U9XHTsHxAlTAUs5FU3i9xEaXmjYlevSI ZODUTSdPSlH79iWqUkUUYVBUN7MoDhVkyUJiiHfsKMu1YfHfeENWFdXHTavd u8vvyBs4kKh/f6I6dYhy5CCqVYuobFmil14iypRJqI4VDx5pKE0aOSxx7x2e MIIy6dMTVaokebRsKfMwfMEHeUWKELVtC7VwA3AdkF+mjJQf3995B3VgSr5W uzbRyy9LTB6iKMO5pUtDJcWLS74vvEDEk4cTPzgbLY9WxqhmUR34YYSIBnc6 5SV84ndoqOhThizjFD0eWouIgOKR5xGdBVzwQsdiTvj0CG5OoVxk5cwJGOSF U8qURKlS+chwHRVQgopxC8UhAK1xwsNNGu6vMg84KCfrhfeUQnyPx4et+aOh LdccAHQoHPBDGebPDSfzWF6Rx/SsUJmn5ZS/8B4h8FSe+NS8rXJofO4cIYoY /URV1ayOpZiC9ySAxAstwlV2KRJcAif8cpv1CvOjH10H6BC6lC3hQ9H1SuUH Oa/KU8zFr3QqT95QKsdspqSHvTDLvpM2butmslp6iGfxqSEOd5pe5IQSIWqI T5woLVyFCkSnT5Pevoxjz2rPHqJx44iaNZMt5hDDL0TUAkOzRAmiDz6QFgsm AbO5lDYtzDedP0/k9cp709esYadhrrSUPXsSDR0qLR8sYIcOcsjCMkJj/OnA aHNAr7IPiuGuerxoDdmWujHUIAgT1oApzRdGvR7FsChsXbhyGOVOMephfbiM /MWsunaVYtWsSdS4MbPiH1xj/kpVq8pL+MTv5s2FwTFkGSf16CGV+O676GLI 89B//iONC14wgBCHPz2Cm1OYVZ9dQl64sEmwY5oM12ETlaTCnsJmcTlD40Bx iob7vcyz2DauF95TUo0aRMWK+bA1//btyXrNIVtA4oAfyjB/1q/MY3lFHtNL S8p5Wk75C+8RAk/liU/N2yqHxucZNkQRY7JVVTWrYymm4D0JIPEqWVJU2aVI cAmc8Mtt1ivMj350HaBD6FK2hA9F1yuVH+S8Kk8xF7/SqTz5UIYEw7hqwiFr Yx7Xc7Y6lWdd7xddeVpsXWCbhRtHjtwlS4T/IUYpRlZ0NATyjeoNG4jq15f9 WA4djGo35c8vOwLm/H37iGJjld/xcdIGKPFjmvxLrm7oEtEEJbnpER+hI9wx ZemjR6XkgChcmGjCBILHGa6Ev3ePaP16ouHDiRo0kE6WFN4lJhaYknnziC5e lPw/lXI/yzFVsQjxbD4lGQLs2LXAno4hWWeBLoRe0WkAg6kc03bnztJx6dWL aNEi6ejAYo4aJW3Ba69JJwjlQQdDq3ssrOGhQ6J9xN/wwOKqs4kD+1z7WIuL cNSyJtRElEitOhGWFy1aSBHZQoaoFsas3bo1K4Y1s3q18Kklj1FJs5bThNjy NG8WUHHOjH8dPyLunBtNo430olyoWGuCPWq3bh2vDmYSbdkiVwvx8RJ0XEB2 WDjiXmwru0ZTLswVXWYbbZMEPwXEwVoW+/RWHJwsQ9AKx6Ls4uBskhnpUDg4 o4E9TVHCJg6O3eBojhUHoVtEXYLBSXBXgQrV4mnCCYOfCwPiIKCBk0hWnObf XJwpcHbQDrs4i1pSywMFH79oxUHIG/u6Pj1bcQSMosZzFRPvWyD+g6MQPq0E lgLRC/HUVgsO4kTADwqnP/U3zzGq0DLuWxamYgJNkASLAuNYQxahCWODVTfT Zts41lBFqN6SujpctNI1umYbB7vmTIONDo3zfas77whzZ+rHBg4OzOhQhMLB ETicPwkKR4Udiqw69ac+aoetQDE6B9AASfBzYBwVXyj785k1Ggfbc0I/c2mu bZytnJimxqxzizWOORp2027bOHs46e39EN/GldgAekAPbONY9/EVDh5Ej9C1 T882cKwb9gpndykqhdHvH8c6OukuJ6Ye0eVmL+tmCEKmuGNTUv+StBShCocx NpV7WEmG7iRO7o0nhabQo+zi4LkI6LVWHGzeJIwyB8aBpTD/K4DCwZ0HAucq XbWLcyZbdA7zfjSFg0g+thJ92g2Mg2jwz3XvNbLi4LAcWioYHASoEcyx4hwr SAWx+RwMDgKr5tygNmWwhYpTU8LhFKUXB8TBtiSeWmnFMeeq6TTdLg7+6QvO 0FlxZGyak7kdbAOnL/W9nzIu3IrTbdiVrwQOu6q2cT4jES8Uz9116S3UW+9h F0U4j3ZxxnHSW8gKBz5CwtnPiiNgNLX13i5FfagoFcX+gn/qJKRYwEmHgM1n SnivJLTFSwLjKFtsfRSGOcpZVts46hkXmC+f2lcz504bOIc5GerhFQoHdjBh a9vAuUKIwxrdh1wZpXFwzgeH83x6toETzYlxsL2pcTDK97xCr9jCkcs8J3rw uA63ugkEtTeI8O38N+nNIHBCcIs/Th0LBH6F7j92TsxT5iGIpQExcErWvH+W X6UWn1kv9NuDetjFwIlac3bgF/7JjsDgOdkuBjWjZgcLPC6sMdBWAoPnP5sY HsiMvViNYbXktMxCLqg1kXLQxEN0mAjmVxxfTEyUBM9pNM0cw0yO8zN4GK1d chyCZHLc+IB7R0Tz4bE+NsnZzwc51ldV5p4VUOKBNjbJcT5JraFNhWPFH4Bc LvpdOGWNFRpeWAmJi78GJMMkhwOoMHU4sWWTjDpSx1upY8WJYOJlq10y1b6C DE/DsUXmFDfewIoPpsHy4vKkacT7Jnm9Kj58u1m+kvj0u6/1FLW/SHEiHH8h GytOkgEffzi+Z41ukBeqi49n/1PMQBKImjiSqrO/uzit1IG0HOi6T2jb/7g2 cIbYQXQZ33UpHWZ+UzXBN7wyBi6SyU8RwWWEhYsDuanMbw7z2wvPvJrRz9VA 2E7zW4ZnXvXH2Yot4pRuUx7xzWOWFJ3AaX7zye00y7lNfv7U9mwAd0LmITYB rPKnNa87/DAIMfNcZp6Pgfh0JkXmTEjmSB6UJyGUK2Hr2ICyVjaNHwn9VdHj RxAfhTPhN7u0icq5nkn7fFJHBC1romGVqMP8LyX08Xu2RoQ/40mGXKGB28Kf XMrU63EUkK/g5UqYZ19vjoTfQgK3WIRZzoZcNmpulSttwt7gM4n+ZP1vt7Er OFnTmTS+kj5ZE1lDp9mJfII8e7D4o0iVFLznmWRWqbMGltXXrHYHtg2KROX8 UQQpptrpMSmJyLCrXLu0iXqNDVr/lUjUcxO5I0n210Tlws2rvsnV6aecVYYs +BCWKLf5LQ+++aZ/t0mjbj4g8y8p18xI8X+6aFJ6\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417839323853293*^9, 3.417839351208372*^9}}], Cell["This is captured by the foloowing bifurcation diagram:", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417839326787789*^9, 3.417839341263929*^9}}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"600", "*", "2"}], ",", "400"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708185938001*^9, 3.417708225066429*^9}, {3.417708938849448*^9, 3.417708938949304*^9}, {3.417729994817061*^9, 3.417729994961415*^9}, { 3.417734582520106*^9, 3.417734582629582*^9}, {3.41777856275291*^9, 3.417778562817604*^9}, {3.417782066818382*^9, 3.417782066920951*^9}, { 3.417783225728059*^9, 3.417783225811332*^9}, {3.417798365021842*^9, 3.417798365482556*^9}, {3.417827648969482*^9, 3.41782764905791*^9}, 3.417839341264119*^9}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztnY2XG8l20N81FmBNHBgPNggkMll4Pn5eUMzK3qEnKNo54MihpyMlwWH8 8NB50omdDOM3WR84WXueB8xH1nCM8Y5iEgfCGVtjS7E061mfMHnL/nN0fXSr W2pJ1aVudVV3/c57O5KslqpLdetW3bofP9/Y+fXGqe9973v/E773vd2/9L3v 6QqFQqFQKBQKhUKhUCgUCoVCoVAoFApF4tDadei+L+TibodCkS6OAGqd1Tw0 snG3RKFIEyWAI+uPWYc83wdkD/1eLStBVigmUoYy/qsBZHiuz3Zb5uiruVpX yZ5CwUQdfNXXFHIN8JWxLHTV5lGhYKENdY6r6tDx/4cC18cpFOmjAxD8otJY 5WY2YHO2BikUCWG7Xe8CtIoFjTwvUFnbLlehVt6kT8FWY/TBUQUA6hn9EGux wpB87sIqeZDLHNbRGw+dDWMbipHejkIhB7kiQKPY6ZQbAG2sqaiay1jiuNpe h64tegVyAXlQBrAuKkK1hZ8OqcYcwAp+0LOurq52Opb4dano9gDUbk+h0CuO OrM0V5X+tf67CcTEaT3z0Xrb9GmuTB4Mab0V+tT6kFoJP9IsCW/bH9CL8H4U Cjko1QZnBxlwabA6tMirq35ab6DlwE/rdYgQ6+VGzdFwlpBu4wc1+5MUoVGE gVnLmhb9znUUItOCmk41mAbwGXnRd69XcImej9ar+JgxrU8k+7+6snGGjtkd 2LWsxb0yZMlGHQsQ1mAlAGp16fhpvay9mfPXer6KDaBCP7AaSetTzYqznl+x pziFPOS6A603UGP+Fs4yNDZdT4e0Hvic6m3aQ2LYGqoIgzpdz+da0FBmLMmw TSZYgw3UmK/Wwy/Xj7QxWg9GtZ5WtddBXAeFiiloDbKOLygrlmxoBXQOgLbn TFrPklR0YtCosGm97UOgFlOl9SKig/3drR31btwtUQQgd1S0RAOKg3O9KXs9 SrZU8NV6DY/Wy7Zb6NNtaexAN5q7SDl1aOX0XWgo66Y8bO4iyWjY8Ty2hbPn euqj9TT30xELp6P1cp08+vRWxxkRyoszGqwlZ2HTMX8pxEerY7nrOS8QDVaj 9ki9bYteF2/jNRLHl6G7eo3s4Ia0Xt1xFut0kdytuqMYtpToRYP1I7RgK+5W KFjJdbErpgvHm4X4ajreLNbS0lqQWps2LEctIl0FssAZ0nqOYkO+MMPRsZVx QQ2KGUHuesq6KQ3lEZOIy4ez3a4NfDjb1i9bsXZtRKFlG1AvdIpEBw5rvQx9 aunEqjb8jfQSRehYE51aUMhDyzY8OthilC3XYb2Y6Qz2ellLEmv2pk2znkCj SFw0h7RejqrGI8dYM2BbuU9HhLXZ66qTBXnwOYLjYPisru4c/vm8Vc3M0VCx 1iHQVQZOWagOJKFd4fZAGj6rOyLO1z2AEn0lW6mTPV+LL9eLYhodtMRoqWM9 acg4aq9NH5UKwc0gI+qtRjZ0LagSF5ZsC5064e9THpyRkOsiRz3XZKcQnQLa sRU6xa5tb+HxNhm5Jks8CbPWfrDWLrSr1h+s9KwBolKSRUKR9Hgd8morLQta p75uiV991eu+EojRazLUEtoro3PDWpGuMrfsWCRFuKzQmTPrhDAo0kqm6rPh /1BVG71IyDXshfyqCtdLPb6mNmV/i4ais8ezhFAFqSsUc6IHgzxvHbXkVCgU CoVCoUgI2cMWVNvym/Lz6rxHIRXW/qperkF3xEtVNnwcbRUKccl1sU2xjVNJ SY0SPYVUrFKb4rr0x2hK9BRSUaWpGNojUVeyoURvlFy7CuuHtsN/bvilsbj2 /zk7fzvrbnrkWhSmTph6uc/3atZLrTLDT+tzr8yt9uunThUalShdZ+wB25M+ CEqJ3ghaA6rIAxLPriTA1PPSONz7f3PgXMnUw6PXlgCqNcy0y32+t9SF1lYd pldx9rlX5lb79ZM1B6yWW3Z+mQjQoEEebA8mN0lRojdCFadr3oQG6pni1shL Y/Du/4tOnhyWHva7tsUYhuJ/LWpvYbopwudemVvtc20RrwJzEcYGavacpkmf VlSJ3jAlyOO/WwO/IJ+XRhm3/2fpYb9rO4y6w+darYYDWXJTc0KMv7Hprfa5 1qzZwYGRqT0legmmTWsUrAx0hs9Lo4zb/7P0sO+1NbYUYhPsDlO/2ufGNu0t ZmM98LU22/aqMHwciSupBWfiqNOh7JpWfV4aZdz+n6WHfa+1Nk4s/rjj7Q7T tZ7PjVkP26vtVYDilC+f0CnZCBNd27d7pMwsicOx7XWdrvF5aYSx+38Wg4X/ tZbsFaf6S02wO7Snjk6/GzvEG7XprZ7QKVEmuqYpMCYv/qVAid4wTo8Musbn pRHGbkKYRM//Wq3mk0+T9dpCBVrTLva7MbOB8rlOb7Xftb0qWvRq3Qhj4ul8 Qo1LstI61JTojSCQ6Om5Os1qFPxalJd1qsr0vbEjpE/4RO8IoHZYbESZBt1s YLVXlDrNk4ZSGk9YQqUUx1I4GFI+L40wdv8fRPRGbQc1OOS71uzVoTpN9vxv rAYsU7LftSVrh1iDeqQZ5jetOQU5DMg9bntVUFpvmAo9lHJpEZ+XRhm3/w9i Zhm1HWSnGgvHX3s4dTvkf2NZS2tNb7Xftdo8bB9auQW1tvTJGEp1FTQ0xCrV M67MlT4vjTJu/88iehNsB41pP9D4a6fb38fcWBm2p7fa99qG7BZ/RYxsQuMD +lsZlKX3eWkUv/0/627a59psrUqPxaeezY1+bwG7b04/XhtzY7lucXqrfa+t gvTaSBEfNZzEO+Mu3OTz0gg++3/m3bSf7aBGK6xPMyf4XVvEGml1+vJvzI1l WDYiftdukfJ/CgUPGnL6r3gyefu8NIrf/p91N+1zbbYL9XYFGlM3BD7Xamg3 VJnocuq80ffGqizGIZ9r21Atbu0Wi2Mv4gFFSLSmhY0okoDZrg1H3Pi8NIrv /p9xN+1zLfrOGkvgj/+1DaZrx9xYliFWye/aHvVCC9N2p3WtbqiDqqOVZJKS cCdZ1LD9qOTKxgLSu07rCbmJsEhMwp1EsQnEj7s4MOckYtQm4iZCYjjhzix9 k8JroxpIbXposjKwIzF+GfvbQv44lreFfxNM3yomw4FvkopAXNdG9dPX6SZP sytcK5iJ6CcJneHAt1mansJro/qdW/Z5RQMbb+ig+sG/jmcwy0VEP0noeAPf 4u41+Yj4Z6EP6Jf94blzv/t/Yr1dKYjoNwmZocC3uDtNPiL6XfxF76fn3px7 89M/jPWGJSCi3yRkhqJv4u406YgqI62THsodxAXffnL5zblzby5/cjGir00A oEQvHUQVuVqn7uGuCAnAD29+edsSvnMffXUS0TfLDkgnerbDv9XyCEM+k0Up Oq1nW72OBumX7DH14auP36CF5xc3P0T05VIjjeiNBL6hqVz9pGxsRqf1StQ/ uz4IinKNqYu30MLz9uVP/jyir5cYeURvOPANiV4/zgZJRIRaT6/i89YjaDhe qt4x9c2Xb5Du++hHauHpRR7RGw58Q6KXnx5+BvLcYXREqPVwhMRh3S3bwz1u 3vz4Nlp4fqwWnm7kGZjDgW/YeHB/2lXUyFA/SrXXdZRabzRCwmdMndz66BwS v0++iawZ0iGP6A0HviGlNzVUxWvkk+deQyZKrTeK/5j65hOy8LylFp4EiURv KPCNyNLyZG3mEb3rIHWKuhmIVOuNMG5MmTe/QJrvtlp4YmQSPS+o5X2YXLlj 9HirqAGsamlbfYqg9TAnP/rIEr5zyuKpyy56KFPCpKySPkfLKCXEa0hZkkUx tB7BXnim3uIpuehp3YmpEl5PcO/Yn19TY0cYrYexLZ7pPmp/+Wd/WWrR0/cA 8uOXj9UJondGQx4yUpcGYEYkrYehFs/0+Hg+s3j6xOKBxTXDaFr/+zm5RU9f BJz0zp/FCaIHldI79Oe8vIqfGbG0HsFaeJ57E5ePZ7TpSE0kaHctObuEBO15 E0ua9f+m62+zacgueqal2cbWJ54kedDdcx4+ml+zY0E4rYf58NXHaN157sub ETdohNzBRogfhgQNKbQdJGjHBpUwR8YMW9TIq9cefPfdY/T2X5V8wYkT48He +PcQ3vqI3nJj8Pid+xOTh4haD4N9PG+fu/zJt1E2aJjcwXRfjHG8tOTshiNo RIs5QjYqaN9ZgraD3o7k847nk+Qdbk7LkfIao/c24GskdF+fya2twD0kY62B uH3qEsOHRyiHOzDUqpQSMbUe4Zsv0VmftfCcm83FkjxaaJ7p3aVt/RkWtGse XeYWMipox0jQLllydhcJ2rRFbQJED+dB99d7WVvp4Wd9gCWtYkvb645n46ev 4b/50mmgSWAShLBaD2N+9RGWvi/n42WGJG+8XTy3Wdrsr/YX9yv7eED8/m/h P7/5/e9//yc/95Nf/N9E+hCf/8Z33z1ACu0pi6CNkgTRG6/3TCpYF7zXEdEz 627RK9EHp9F/ZC9GPIzIWg+Do9pvv7l8K/qFJ5E8WBj5h2yvv7U/si35/s/h Pz9rP/+XP/zb/+ivPQujIYkQvfF6D3uPWStOz4t4aVnP6ruuBWffowPP4PdN rNcnFWJrPcLNL8+ds1TfxxEvPKnkeVac2qal5YZE7hf+xz/9s9/+s9/+/k9+ /mf+zn/4rX9Rq1RcpoGD+yGUmEiG6I3Ve/aZuv9HPHL68ute0dPxa9a/nkI/ UDKqeAiv9TAn1sLzXMThDbbkkRVnttO/X3ELXWW3/9m//cf/5bm9pXv++K5b w2lL/WKeiu7WrJNZQkRvnN7Lo3DaPlz3X4kj9bewbv3n+ir+gAHndX31a/oL teT3OpNB62GyaOEZYXjDQPJg637F/YtXD/ub2rO7O9cGNpMn/hs4s3dIjHVb s9nkkiJ6Y/TewT14b+m0CxMqnq8QJXfScP8Q+/oGVZiHXes/u5LLnhxaD/OB hDdEE1frkjyHlqXpehv6y6eXHlD7iWF8d+nGnYkflO0jR6lub5bGJEb0/PXe ITlDuMdQUW6JrDzxf69uO/WwyIngC/s7QzyKnSPSaD3MyY8+QtIXfnjDkOTl F9dwr9y58eTBMRG7pnHt0tOXTB9WQqrv1AyKLzmih/XeSEXn38GnefCK4QNX rfe1iddn1/q0C+5f6S3Obr5oCfGpUBo/ZyTSeoQ/R+ENt0MObxiSPJTPznz2 5PFz+2Du+c7dQKbLvvUhy+O8OaaTINHDem9x6LXTpJsbLNoKaBgSvP2MrENd IJl+jx/t4neGcgtzQy6thzFvhp1JUMt7f9Ifuzd2j8ds7CaygQbLWC/GaSRJ 9PQla1924F0C2BPdpKg+Lwtb5HMfeX4ntBtcJw+XjvbJC/IgndbDnNz66DZO YR3GwjO7BcP8It3YPZmysZvAGoz3YpyGtKIHfi3fsCa2vEfBbV/Fh+RngmfL JWqvchX/ObON8t3RhQp+6apMlhcJtR7hG5rCetaFZ49YM694bGk/aTJv7MaC djmc/qDJEj0cx7DsnuDNK9b7LHX1afBvOLE0Zk3DgUX4ANZji4arbacdPM2f L3JqPYydwnoWi2cGLzWre0h+tdJa//f/Pf4JfyGM9u0tj+5y2JBi5PjhL3p6 bnFoCWD1+g+RoZN31j9C5pa3yKszSw0v18mf8/ifkRPMFeHNntJqPczFWzih yxvOo/YeFrzFQQc8tVaZ//WP+guVUGw4G13OCgTSit7YlhfA0xVlgEN0cMAd JbJdhwNs39zwrFaQFdSaQ0+R7R96n8ArUIm1HuEbYvHk8PHEv1B3YSBl5k7T MHZCbFt22c8jdDrJEz1s6Nx1jC05gDaSjpFjh+AQn8/8MhG9V7QRVAwfATza nv07okFurYcxb35BFp7BfDz76NdadM2Kd64ZxvHTUJuG9B7HzJZA0cNdMXC+ zANeKL4L4Suxituixw4HtBGIe3t4IyhspiXptR6GZBK8HSSqHZk1K+79wI3j pvF8RtPKCCWmEgTDJFH0sIHEOevcpQ4pR+F854muYe334xP6AobmXyqH8B1R kACtR7hIfDxZo9qtjf+y5xToidE0HoefmGWBZ0OTSNHTzUNwvFvNrwH6/TDv c7sBnsIPgFPQO/s/iyPrHSLFuydD6xFu0qh2hvMGS+d13SrPRAkdnkTQJjPP MbclU/TIWeeBRt9IwkJC/W76u9N4h1ddj+hh/09uu04EJEbrYUx03mDJ3zRH F2u+XXYHfb18bm3zbkTSpNLEnJT+JFX08On6co+88X3YoudwQrxlWtTRpYFf XCNPFqc3cl4kSethvr2FPazPTXJ0yQ7pPP2xYVzj9luZwv3gVk5BxgYH01pu oi3Zgj7wCIukFTi4va6XH+KvIAUgqBy+QDUBqTkmZpKl9QjovOH2BEcXc7gO 1Z3nxrXI8m+ibws4uyVX9MgJ30EO7YEx0Zy7oU+2lhrElINPF+xcTLCJzZ6n BUiylDithzFvfoy3fV/c9JOorRE99Nx4Hl1jgi85kyx6esnagnU3e9QAGan5 ETl4fkqEzE6wBKvvIlS3gUii1sOc3BpXuSg3avC/ZDRDyWfkz0JQl3ohRgYX LC1HLp1AEo+943HjDNaewSPM1fNDK934+jqZWo8wpnJRZjSk4E64XixD5LoB knsiki16eC6Ct9CNXOu5yZBQ91cVj+jlzqLH/JGVs5BYrYchoX1DR+27Psc7 14zjCIstLASc35IuejiGj9hA3kfdIpsTnDXnbNYren3yJJYUZ0nWepiLty4j L7PBUXvOrwrOU8MI14XMg4a8hQOQeNHTUb7pd6XCPG/05BB/2zYReZIXxo6R Rq6fh1fW5+vumWytR0ChfYPKRSW/8HHTMK5F2ILqtPLiXpIveuidlXhu9AUW NuLB5hhfiBt2a66yl3ithyGVi0gC+Y5vBqudphHVwZ6Ow2aD7CfSIXpnY7rR vH3KjhUPFT0SZ7Q8z3bMU+vFatS1fTxv/YVvG25EuuI0u4EOcdMgetep1osh oG7wpQOtRyocvZ1nOdt5ar24z1Nufonq1f6u4+vn4a4R5VcvBkoWmQbRu0cH /WwZS2flPmnEPj19p1Hu+lzSm6VG62FQAvlfAzj35bxrtZcCee7G3U38sLcc n2zjAR9nIDlRe2cy9rEfcTrTN8vW46iTe6Zjr+ci+6cA+Kh9PnXDbPJO7AoD AnQTJ8wtX6Nj/XTMt4rdPVd0nUQ5vKWuD6/mceSQBgunlz7A33vzBlk8fXJK PIvK1rIWJC2nCN3EB3PLMwCL/bVX0EI6b60So+YjLSZ2z6vkJbuee7RKKXVa D8VtlZCP521cN8y77btzHFHoEDraGz1NHIcI3cQHc8u1t/BC37uHs+Bml2Pe 8Vlsn3loLTxpFQj72B1bpSP7LdKn9UokbAHnlLB0n2fbd8kwmpei+Vo/H5px iNBNfDC3fIMM7uuoT06QQ2c97gDyBryz01XYordIU+zWIvnC9Gk9DVV3w3z7 yWVL83m2fU+aUUXu+XiOjkWEbuKDueXrpHxQizyzNgGnBSpYSe2eKKMSsXxG EmKUPq2nu21X33xJQvucbd+z42Y08epmgHy4QnQTF8wtfw01NKbtwIWN2lzH 4RSWqOgV7IO/R1F8S/q0nrWcqLqekW3fG2fbZ6JaelEsOg/YbZxCdBMXzC1H Sw/3WVNusWD9V5SEtUTg3p84GZai+JIUar3F4Uagbd9tvO3DT1Fuss/DX3T2 2a3VQnQTD+yjFKdqGD5ZKMH9uHd8BLwTfdHXIxW9FGq9vo9nCdr24fiGizpa dFrCF/rXZtlztAjRTTywj1LiuDVk9c0DHAiy47PaZurDoleEMCvYplDrlYYy s1Bc8Q3md1FE77GfqgvRTTywi14PF+V67R17JRTDw150bw5oRPJIgvqzqEDS ldAWxSnUegMT5xAkvgEvPKMwcloL3fNs6ykhuokL1paTkIEzw3kzcMIy9vPP OYCqqTwkTr8l4nbKkU3cnxRqPb1ru+qNcvHWZVfxlJ3HYYogspsdMMmeGN3E A2vL9wH5cPqsAva6Yt37ySsAGkJrn/b1QvroFGo9qw8npUqhOaw//urDM8Mw dsITvhyeM5nrh0sJa8sPrDXcHuR9Tjo1ZOnMiGFt8VKnoue/ZApOGrXewhTH EhTfgKTvn/1dw2gePwlt24eKGHuzXo9BjG7igbXlaACXxo7iNcjPUR+w4hSw Denz0qj1MtOnm28/uYyymf3HXzKaxnFYtRhe4x+OwV1RjG7igbHlWZSsZmWs yRdlC1wQTvGVqeQFS+w4njRqvRKTGe3mF6hY+x/8DcOp/aV1dvcrix1uE5c9 a04NYRCjm3hgbHnB2kBN8DEwUbZA4RTf5hX8670I6/gjjVpPZzxhQ0ft527/ yf9rGuiUj5YJnmFCtq+fulsQpJs4YGw5Xbu1xr4BHzOEUlU7RApo2dItkCed mT0706j1rAUNa6nRrLXwvP0nf/DRj06yuGRwBWcrZ7NTDqM5ojetwrog3cQB Y8vPA049O8HahRRfWI0KjaWBfXMNtb8406elUuvtBmiGefML7OP5fwF+uIRe 2MuDxwmUmc2B6LnKivsRdzd1CiMwHnQztrwK73rlK5OTk5ZMa+YTxalzmDWc zbM7k95LpdbrB0sIgso3/BrAX6FPUc0A9ojzASWX6E1WnHF3E/jAfCXDu8xP ccTQ62m7plyXFOMTj+HKDTykUuv1As8337yDf+UcMgSKOB+Q8Qzl6gThj7ub ohY9ov8vvJ42/yFri5iV0LshiF4qtd5YV7LxeBb2lfHuMBPoe4by7oQpP+5u goL9qBOwIWwtvw8XFphGbgHgUUW4Uwad+JcprcdDcLXlqZrwYlbR6y5MtN7F 3U2Ds5dCJKKHD1aZRm7ptFN9XShqSutxUg9YdctbNeHvA/wph+F7wVlrTssU EXc3Ra31TvKwv/2aaf46qQbIaTM/jq7jGXQmM0s6td59Eo0VgMzAMvJHPwD4 qbduGBP0MOtw+lQXdzdFrfVIV/wbptA3czG8CLkQWUN3sIXEh/sj0qn19oJP ONbsu9y3LtpctG7ib517899/eVA3jA0ieixJqOPuJrfWO5r0xtEr2Syc63i3 y/6xJfEWnWvIowzvIXiblk6tx2FnyR0MtmqH+jdf/p7xe7987uOvAijPA6hm JsQruYi7m2hoqI7tHIFMjGwtxymfA/hCnnRhWZykSQOwpfZhkEI2Q1enUOvp XWZ/lgEFWgcxj07WXxpNw/hPv34O1w1jA600J8cr2cTdTTVnftiymhLExMjW cjqDMX+uiRYMq9PfN2fMszMZW9Kp9SwRCFACwWFjbbWwR7cezx40Len7d7ff nCMJXdjosw5NjtaFR71hS0W3WAZosTsMM4reuz1dewdL7C1CK7vJHkAxMKjO x3t5GrVeQH8WX559ZxjNP/4TlFLiox8xWjzXmGa6uLupA4XBg0wQSx5Ty3dx UddgN4mqrwsydhxKs4leSrVeD4LMueO48blh8TESvjcf32TZ9m0y5aCOu5s0 GlVVwBMUyn3OmquIqeV9ZGxahWAWnGy1KsjYccgtK60XnJOQ4vzvHj839Iu3 UFT7mzcM2z6T6Xtj76a6penqlQb1I8g2YLKn8wDWBSfAp0HP60y0sBDL2FIk ksdpZ0mp1tPzXA4po5gkivabTy6fQ+mUpm77mGzqsXfThyoZVDWiybPMuYrY Wv72a3IqFpgMZ7xWRGjrAU21HlKq9QLFDTFwY+fiypfnkO6bsu2rsMyR8XeT 2alBo+7EZ5isiz3GBScOuRkfKDuWFm+sZETgnBFcEWR6erWeXwrqGXjeNHbu aF99jLIpTdz2jWSd90OcbrLJMda5Ymp5Gx51+LZIHw4Ek70OKtbIeW1atV6J L+ZuDHeQvaX5xNS/Jdu+8ad9TKZVcbrJgXF8MbX8EEXq8d0jipUUqBrYTKRV 6+XYKyAw8fS5nTjQ2va9Gb/tYwoVFKebAsKmy9rvIKPl+awT5oFv5lwZSavW C5CfhZGnSPM9R6X5TJxF13/bx5QNTZRu0goVa3dVPWSenNlEj2RXeMdpGDwU pHNmJq1aL2w7C+Lp82ODVig6+WrcaR8MfJPHIkY35Q4dp1XWastsoud4wvIR woFsiGh8tlo9xVrP2nRth/6hl74bFAe76L/tY4ldEKObigCtcgcOV2vMVrwA onc2cMikm70QN+qzgW+GawGVWq23GYo/y2T8tn0sB4pCdNMRdNGkjGbmUovV JsXUcpTQtHQwiz90kML00dL+mtufJWqtl/VMbkKMKQKbX8nM3zKy7WPJ6yJE N201sCURz8xao852EasjGcwWirAHoRqoZ4BkpObyz4ha62me30KIMUVhC53j wnzqejK07WOJmRCim7okUI/MzOUG20VMLccxw/dm6n6U3U0IvfeWiN6nHJdG rfXEFb0KLEf10Y+NBx7rinvbxxI2JEQ3UXMQmZlZc7QwtbwGeeTDyesFghFF 71GTEc+9pFfrrYYQN+TPnWPDOL7hfc3Z9v2FNKJHFoRkZmbN0cLU8gV4V9p+ PeNWG+k9AWydJCHnW55soenVekvR3fmda0bTuDR0rEC3fb/GUMZDiG4qNrAF mMzMNXYTJ9ObXj3iP1ygWHrvw2yfEAZruCb8dZ5L56f1ZoptigCO/CzsPDEM 49pIQVq07ftdAGvbN3nQCNFNPeiiFR2en9qsNhFG0XsNsAwvZmmdRS+0mqOz gApTw3meK+en9UQTPY48uAF49rnxT675vH7xVwCQ8vvkzydcLEY3lQG6xQKa mcvQZVybs7Q8a73pVCUfij+YFr8/J/ePlV6tx5iiiBfzc6P5zOf1PgAqHHZu UlIJQbqJJA7DyZxYLRosLUc15XXtShi9nzvoCpmlk4n07vWmllSfkTuG8cDn ZWThNG9+/AZbPMek0RWlm8xOsY6GxyrzEGFq+RaZhDkjTN0UrIWraMVnmUmv hZOlpPpM7BiGz6v0cOHk1mVUL/ryLb80ukJ1UyCYWl56dAbg6uswvm9RhPM9 zkOOFGu9DfZsP1zcGTGzIAbL3G++RMJ3zsfmIlQ3IZhXB2wt33gEsB7OiqMQ +/ke8p/mstelWOvpM9u3eThweXF8+IoctQ/bXMTopuwutGjSsDpr8jDGlvfC O1ON269lryGiD2e21cmJLHpV3lxSswCw6H568ZPLb0YyugjRTTk8pqhLSyNE C6cleV2A/bD22XshBz0H5BHet7Y47iZKrWf1cGNXYNFjypMSMqOniXax9i8G NhchuqkAxU4VGng1fBTquR6xnIYWa763ENYncdADbst9pHs9s9MCgUVvba6x igTrp+qNvIiKtVvS55QuEqKb6nXrB2zRPLX1MCMX9uGFvnImfvNIGKzxi17U e71Ma931TIgx5VCKfpfw9PGO94WFMX5k3yAvs9vnPv4K/asQ3dRCNqgjGoHd Yczcx3SkvmztsXNnvQvvGcnmYzrfKwiq9UYQYkwNYKt2NwvPj/+q94Xx2YBM ZHN5gxaeH4ToJjwlm3RduBmi+3QJr7n56tGPAVUBi8evZUNcredFiDE1IKwU 1OP5jeax57k20Sbw7SeX8bbvp/9AgG4iNvsqmZkzIWo9/TScyu0dBCyaORlr 2x6TXwsp9MVjr0u11osgNdIQ3w15tOz5bfXcfPOJpfhu/3MBuqmOA2E65AAm 1L0eMQpeCPVQ9RBi0nu9e9TbLjCp1nohp6D24UHzO8/zA+hO87dHwUV/KEA3 tQGV9sqi84VcgdX5gOUHJkbBezNHLnhBei8O2atxm2tTrfWYkmLOxJDWOwEm 48IPfiBAN2mAk73XydAK8VxvBeA9QJ4rqcIEDuMZXCQtEo/+SrXWizZuCPHc q/U6bJHVYnRTD684c2hab4QZufAZNUwwpnthZjGOAnxL9GY4wjBSrfWizM9C MIzH7qeMQWpidVOvkwnVh3PjCsklFPqsZ+rMtSFCo0JFj8MZPN1aL/LNntF8 4nqWYfR5Eq2b2GFqOalKF8mUn8vPueI6TWwIZ4Nfmm6tF/lm74nhDpfNTzey YETrJmbYDrjWeE/CprNgLf3mG8BHRY/jdCHdWi/qzZ5X0Pqs0SVCdFOn4MOU iYpRovrvAKqRpIPLonK4c0htPADnZoGvOa5Mt9aLerN36drLwROzC8tsqyEh ugl8mX4Nw0drLyKLNjAXYM7VL9Ep5XWebUvKtd5qpJu9Z03j88GzLZYiQxgh uolH9BhbjjVFmC6cbnrMhd9DosM5jaRc60UaqW5+bri2eiV2C7QQ3ZRrOWtC rcGaXZmp5cUzSPTeRqWazF0hsgROJeVaT1+2N3sRKL9LTePS4NkB+yQnRDcV YOAckg2z0lDuHlSRSwtfVTpGOgcRpRYPj5RrPb2INnu53mI35BqzOl5uPh88 6wdYYgnRTVtF15Mao585S8szuMhQBV7xtYsJazWz3Ivw88Mg7VqvA9DeR+uf 0NO0mM/dy01rvLEdLCCE6KaWeyUeZs2FFRSrlavD+tR38mOio+5dsRVfyrVe b8u2H4S+5btkuJab1gw3JWTBjRDdBO4SHuUwy53gEiFvZ6mvx0ABrK+JPzf1 BFKs9XKZ3eWB6S7sCehl0/jcUXPZ5UAB8UJ0U7UxsIPkQi1tef+19bZ3Vzjb xcpSBbdFXM2XXq1XAQ9h29uuGYZT5yuXD3aOJUQ3rULVnpS1KrTZLmJquXka dXgIyaenUEK1qGFLVOFLr9bLdt2SxxiFzcyO23F6P+BWUohu0qz+qR4WCoV2 FcJNBkj8HkPJPj0VNMEuiil86dV6eP/lEHKmiB2jeewsNxcADgIdNYnRTdmW 0zt51k0TU8tPwyPtcB5qz6KEFzcRupbl9niVV3q1HikKbBPuj3PJMI4dF7Ie QHdqNUsPonRTpowCZevlTKi22Y23kNHNXWDcPs4KEr4IE8+hqg+vubRXirWe K4liEPMjA08tnedI3kY3cBcL1k0BYGl5n57rnZlDezClQ7R8Xo3EeyaLR889 HlNqmrUembIIYTqzPP1jl85Dxs2gSyvRuokdlpYfAbzQl+7Bozm0xwGlbrkf gfBV4VUuu87lkJpqrUcSemBC/MynTcN4aj/ZW+ZwFBalmzbbaMFZKbNPziwt N69CHnV5VP7TvhS6cCWKr3yLTNcVeMdxabq1nv7hIHQryw3DJXmoDs5C4I8Q o5tyu86aoM6qL5havv7QetuFqJPBDWH2f4gb1wl33wdoy7rPtXhOudbTzSqE OwNb+zyXzgOu6m9idFMNoFXudDrlFkCokQsbV1CXl6e/MWT2qnuomvTyVi+8 zzwD1ZwlQzz+qCnXeuT4KkRDt2e1yVv7TYhuOoJGjz7cbIQZuaDr71GXr3C2 azayIe8vTpPP48l1kHatZ83BKHAzrOnn6R8bM+s8Qbppy+UBqTWKE97pgqnl Jey/F2XgwgTMtSpuZLYTitFl8+0FgIdcTnGp13rkaD2k4Mqn7n3eFqfOE6Sb Wm5pK4dZc2EffryxAOux+Zic9EvY5HlqLwTpe3EdmLMPeFFaD29qwvmgS+59 nvXbLnNu6YXoJk8sRyfEyIXt89BGp51zzV40AnbVCaNMQ583QEJpPRyzF4bZ y3zQ9Oo87to3QnSTR+sdTgquyw/GHkvLN5HvUO7UfBzJxrOHDbi61u/Novs0 zo2ePpPW67i6GRkKGUxWQoypEcwuT97uYV4+d3mP5SqzTKlCdFPRkyBi0l4P QBs8ZDjX24XVOa+2xjRkz1K8pa618uxwL37RwfBrvgwHM2i9gqubd9mMxUKM qVEWQ3Ake3psGNfsLWPuYKZ6b0J0Uwa6PfpwszvRXBRQ9GjkQtglFzjJ2CbP LI/4da4CtOB3uEoFhqP1OownP0KMqVFOAGZNzXLJMJo7tuRtWJJ3EMxj2oMY 3VQHyJcLhcLhtHO9oKLXxoP99OwtDAUTrzxxStbd1aBqaNcaOBpfja9wtN4K QE3qjOaLMy5/zAdG07hrP0Num9VZbKZidFOu6HizbE28m4Cil6MeRLEvOAeg 8k+29tN6AS7EV3D+XGFovWyXtf6aGGNqlI3Z/FleXrO2eU4KJJSDdXEms7Uo 3VRaxUFD03RBQNGzZvu2rrUizs0SmKV+HWeGXAuy95tF9ELQerkqNBgtCqKM qREqAPwLxBtom3fHfmbNSLOmNxO2m/xxRI/NUWQpD1u6lg8/B9zsbJxgswX7 gSyqpK5x1RkKResVWaU3XBeeUCnNkJH1ibXYdLZ5OA5pVrO5sN3kT0DRswb3 KW2VPfJ9zpysIeHT9D3Y708d11VSKvA+zxfNrvWsP5+xXSCw6Ol53sRI5uOm MdjmlU6H4Z0oRDd1mEsMBRW9JRwzxGWamBNLazSWc33B2k+Nf18Wb1u/5hO9 2bQeoVFk84cTWfT2OHNE4G0eTT3WW/gU3eHsAUhCdBN4mfjOYBZOHUeLcBnk 58hecRnoVm7/fs9/87dBs0lyGQpm03qFDmKrC122DLJCjCl/8tDlUHv4NA+f o/e27KSes3vGCNFNEYoemrUFXW56yPZPbSDlRE2fPk1ehwN0M/POzTI41zPL wJaoUYgx5U+fJ8rAPs3rLboyC87ukytGN/VYDSGBRQ/5+sTrwRkAs7/bwre1 C8uV1Z73H1tn+H/ykLxZiq7un4AYY8qXXHBvMnqaN9B3mBAMd0J004dui+Fs snWoBRa9LNrr5SPMEhY6uaUTbA7A6i9bWS1RWVt6hV86zSVCIflwZtkCJ4QY U2NYCKr2sNPmM/2k4V2Z9WZvihDd1GO5E81SCMVuQNE7i3KzvBPgFoNR6lt3 uk/z2OXxWLEU1330jEv0QtJ6OptxXogxNQYtoIEExebh07ysR+mFYbgTopsO 2Zwse8hmEkj0sqetsbIilDcLMycbur6HNxdW63d3t9B0nYlzr6ejPmcZt0KM qXEsBpqFdtBpHnm44U4hH0aWFyG6qcWaorZUDxY0VMIbvd17C5wNi5+TvYWK 6TJErXPZjELSetvA5BckxJgahxYg8sq85o7Naz8ciN5SCC0Ropu4QgtYWn6E jqCX7kVbVXYOaO6COQf7/UxAHRaS1mP0aBFiTI2lwmYrsnh23HTF5u26foLl MBoiRDfVYDf4ZM6o9Q6sjoIaT6vEYuO0d5+ftwSQWZOFovVyh4y53YQYU2Mp sS4Xn1gq7zvb/Neztnrdtr3mDMUxUYhuKnhHFdtFTHu91/cAlbacY3aEqMhW rVVOD160FyquTUe+srq2Of28YTath32McIpitvprQoyp8VSZ1N6da8agYCxW eQcbTtmiXhjtEKKbzGJEomd3lUynC2OwbwXNImZpzSOAy5X7ndIkAZxB6zmO ZPUia5CFEGNqPHuWFE2drZ6ixaZdtXITHfbgYxUS7RyOY6Ig3ZTNdAawXcIm eiiJ11URIxeCUgLiPj3QXrnSWr+e9wjg2qa/dKiMZG4qU2UPe0vbi00Nqbwq 3RHhkmHhZLEWvZvGw9Lykzwqc35BCleyaeBkvj4VF0p7hf1BeUKA/a3+5vD9 qoxkblAJhomy9+y5MYhT6KMDvQXH5QPpvTDsm+J303iYWl6Bd+xLWLF5BY/Q nDtGe5UyhUrVbYWp3HdJoNJ6HlBmtQmyh+wr16hls4SWFVV35+2FY98UsJuY fRSZWm4iq3xexhP1YbJYsM50Fya9aWOpXzxwb5uXK1v93qbSekNM0nvEvkK0 nHYK7eyGYmL3Qtq+iNFN2V1o0cieOmuED1vLzd1EGFnoKLD2ewzdky31F9yb QEBFx5TWczNe7904Npq2fQWvNWdLwDIBIboph31TiWcuNJJhRwudF3jpHKCO 2wYywzg6UGk9D2P0nok8x4h9JdcZWWuGixDdVIBipwqND+jxEWsOIyFaPkfe QzWbg3usNdAcNEsCD5TWG8ZX77107CvaatdnrRkqQnRTvW51RYuupeqMDp1C tHyOXEEZSq21I8+1aq83CtJ7Va/s3W0axnNkX9G28PFdP6TSRP4I0U0tdJR3 RD0tO2FWGkoQXRQ1wHmcqyycPmC9t+16/phGo5f2sY14LVLBE6SbiIsGHVWb IXqzJImyNU54FpwIpfX8+ICNxvu0CM3L503jl/5zr7+PDVTV6G1zQnQTCRyu kpk5o7SeL9t4SFxnTMnnRWk9X8xdagfOn+r8t5/5Xz/5h7ZNqjKP3hKim+rY Ib5D/L3UXm8MP0SHC59yXaq03hhKa0XPKQza4VUKM9QwCYAQ3dTG+URx5o9c AUL04dRxaOQMLRMK645ZY4qHUFpvAidL93+fSF11t1CaXwFiIbpJIwF1dTLr hHquhxyBZi3tJAo54JUgpfUmctcwfvGv/815+zyJ0U09vOLM1azWNFgTRjG1 vIeFORxP89jZfQtwIXgaSV1pvYngEs2XIjZn+iBWN/U6GVa3HWBq+acoSv1d CPlKBYAGFPOsiJTWG8+z40FS97kiVze5YBK9TRRbtXQm7lrq4XAPS969FxyX Kq03FhymcGf6+8JHlG7SChVUUfaQeXJmEj2akWyZq0aIaABUNFS+heNSpfXG YD5wpYGYM2J0E8q4Q6kHWHFOfc9JxdJ6e2HFNsYMzsbT4vq9lNbz55k7DcS8 EaObigCtcgcOV2tTaqm7YGr5e8izbQol4AJyLK/4xKlPR2k9Xy4ZcS02EUJ0 0xF00aSMZuZSizUnPlPLSc2FRCg9/SyczW3muaIPldbz4c41oxnXYhMhRDdt kSrdeGbWGqF6s5gyVRqazB459uRxtVBabxRUG/34WYwNEKKbuiSzKpmZy4yp qNlajo6hE3G0oNMynVzziNJ6I6CieQ/mf5jnQohusgPU8czcCTVyAQ/XRGSI QOk3+U71lNYb4SVabD6Jtw1CdBMNTCczcyFM0esJX0t9Liit5wVVaP48zsUm QohuKjZwxCKZmWuMJk6mli/CeWRnSUIezllQWs8NTsDyONbFJkKIbupBF5k1 8czcDjM3i/Weh8iRLAE1F2ZCaT0XONvf3envixoxuqlsLQqLBSQh5VAjF8gp /duQMnXLi9J6A24cN0kClrgRpJtIUY0SOjIONXKB+D0mw5tlBpTWc3gixGIT IUo3mZ1iHQ2PVeYhwtLyJYBPkdZLyMkeN0rrUXAdk5gtmzYCd9MUWFpuV6g6 P4f2iEyEWi/jeN8GKrUdDy+vxRQg5Ie43TQNlpavAKl/nYAiXwTOHytCrWdJ dbWGcfbowo4pdKZwTYRtHkbYbpoKS8tztPI8Y7oX0UGF3tZ59ilR7vXWR6Ra 1DF1iebZFARRu2k6LC1fS9SCk0RWrXNcGeVerzCSq0nMMWU+MJoinCk4iNlN LLC0/D4VvUdzaE/0UBW+EvzKSC2cNeoH6CDkmELlFGL1lh5ByG5iIojWS8Re r0dvhiMVZ6QWTq0FbecJbWNkX8bL01hD83wRsZvYCHKutz39neKzT4f16+CX RnuuZ8le0Y4OEVT0kOvYTtyNGELAbmKEqeXniTtL9K2ZA/bqmTGoyk3E53on VahS+6aQoofT/T2NuxXDCNdNzLC1HBkFkxK4QIc1h1dc1N4sZh1ag6hI0cYU 3uYJc6bgIFo3scPW8t4ZgIPI2zIflrHkfc1xZfTeLFUoO48FG1MoHP2aOGcK DoJ1UwCYWr6KR2sl+tbMgz6+GR6nuOh9OLOutYVYYwol2hToNG+AEN2UOypU 6qiAbrVeWAkzGSAt48AZ2y0YJ6+4N1Jz8OHsiulIhp02RTrNGyBANx1VwEOR bZSwtHyTfmQiIheOgFv0ItR62RquipxzzW8CjCmbOyI5bQ4RezdlcfaU+lYH U6/hZyyaj6XlJX7LhHis8YtelFqvit30CqRYFCb2MeXwTCinzSHi7iZrKm91 PPkbeqtd6E7P6MA0BjVat3CDv4HiIKbW07MNqLTr0Bj8ZHGPKYe7wsTm+RFz N2VIaggvZodB9tjG4HsRj5k4McXUerrZrkGt7NpOi9LhO83Y6imwEG83fahu +U5K2VbZ72U3bGMwexqdqHN4PYoI3hNfX+C4Mo1R6iba5gl3ju4i5m4atxpg WCUwtXwBqwmeMgUCYtZ5NXgKo9TROboQKVjGIkQ3ccHS8tzrBO31SCptrgvT p/VEPUd3IUI38cHS8pUkWTjxinOX68LUab27ArpLDxN3N3UKIzCGlLO03DZM 7M/YSiHQDqw7ucC1b02b1tsRI9PmZOLuJvCB+UrmT59qtJGBA35rbbq0ninw ObqLuLspWtHT8Qk9XOApjCUcb/mnkVRpPfENLITYRc9JLsBaYci5kqXlG2fQ aH0VtFVCQicmHl/wNGk9CQwshNhFz9nZsVYYcq5kannRelstGSUXqOjxpEVK kda7iwIV4vv6AMQuetFqPV3XElPa8jW/tTY9Wk8KAwshdtGLWOuh9wX7XGEB fveA1Gi9HaMpgYGFELvoubTeUbArmVpeyAOUk6D2TBzhAV3GEmheUqL1sGlT AgMLIXbRc4ZSIaDxjqnle9yWCdGgMRh8udXSofWQ5Mlg2qTELXo1Ryy2kIwE 0E9MLV8nA1Z+tUeSQ7CW/RwmFVoPSZ4Upk1K3KJXb9hi0S2WAVrspZdZWm6H yvK5X4nEeqAzz2HSoPXQcZ5Mkhe76HXszR56kLH2MsyOUiwtP0UH7AXu9onA GoBdrUy8SkM+xDKmLspynOcQt+hptAxQAef2QIHYrFWBWFpepQNW6hy4K28D e/oMk3yt9/JYluM8h7hFD+UM69YrDVoXIdtgLpDA0vIaHbAcudKFgeSF+Fpp vUmgAumSSV78oveBaqYaWSxku2H6cK7RAftilhbGzCOXzrvHuaJKutZDxUxk k7z4RU83OzVo1J0MLWY1RNE7uUqG7Gj+F+GxWt3DDxoDybvCWxM+4VrvqdEU r6TCVOIXvWFytenvQTC1PD/LMi1GyHnkHnrYpXJnvcQdgJFsrYd0nnySJ6Do seRlQTC13DyLRq10yac1khU4jxp+fqZdHiHRWu+JlDovdtE7GnOON+51F4wt XwT4LFCTYsRxVrFXmOikZQVbWF7PlFUtyVpvR06dF7fomSPFgDG5IoNPmYD6 ejaQKfM1ce6xRQ/v7XDJlq2ZPjrBWg85TMvjPOYm5gH8oQqtYa/pXKfL4s2Z ONF76yg6r+gh2Vub7aOTq/V2ZHKY9hL3ADZRLOtuZ5OutDZXCuiwwU8VDhN3 y8Oi9hrglO6I2yN98JjYWUIgsVpPXp0nwgDutWCIOtMMHX/LQ+EQb+XWco64 oRdLpIplPizHqKRqPYl1nhgDuLTqkr5am82DmtHoZ/YEuMEJ2A7eWY/o0Scs yp/1WxKo9eQKzxtBBNFDlEqoxlePfW5mFD18uCDYiXppl27pdGyApbs6+oCk XkF5pvmP8UZIpNbDQULySp4wohcYNtFbQuVOYDn65gRgG4sYjWOyvUzB1nTV KL4yiVpPtvC8EaQVPbaWb5HxLIbaO0+avIubREuP2xV194jH2MMQVZ2LBGo9 6SUv4aJn76REyD5tkmlA06+TNpEAjTXawiVSK73ClwBiGsnTevJLXsJFz66l zut2HCb3SVPee1PZ5siTU9Hmx06c1kuA5CVc9Ggar3mOOy8D/9Fc3d7U0b+0 BMvGjyH6AoBJ03pJkLyEi57exqO8FX1rfNHOALyljii2OQXsBae9CN7IRP8T JEzrJULyki56JJ1QDJELuHFY8B8u0hds0SNmlk/n2Zpkab1kSF7SRY+kE7oX fWs87F3BMkYLa57Gr2kHtuiRw4W5VttMlNZLiOQlXPRyB3Hs9TLkSzdppB3N yUQOz+8t6PpKcWZ/6IAkSeslRfISLnr2Io81y1k4nCVf+ql9Zkde3cCHCwdz bYnNPLWe65ajIDGSlxLRm8PhwpoTZ5Czs6lUPaJHDvbiyYM9T60XreglR/IS Lnr6lXmJHk6m8h4/tM/xIUMy+PEUxAuZxGi9BElewkUvS0UvQpvGClZla/hr SBaHE5q+r6HhU/Qz0TioBCIpe70kSV7CRc9WQNGVGiI+KtuekghU3h+Rfy1G 9t3sJMTCmSjJS7jo2Znfg1XuCwCNad3qukVvDxdwJ6eJ87VkjiMhWm8nSZKX dNEj53rvwv69nK/epSL32mNRWYrYyheYZGi9HaOZIMlLuuiR4+uQLfr33zmK 1D4/+NRrzDwRrFsTofV2msbxnSg+OCYEGyMBCKL1QvMkQ9+p4WzyZ/FzW/T6 xDFzpmSZEZIErSd1HhY/ki16tjdLSKGy2I7Zo9E/ON7ODjIvnRVtjekhAVpP 5txj/gg8XqYQxMJZD+UbSVHlrWXXZzpBeLiKZijfEgXya73E6byki94JtXCG 4kiW82YtxDX7TLLJiy0ekBHptd7TxOm8pIueXWlolgXndgO6eK+4RGWOFnn9 MfnnQ+uh8GY32bXeDcMwkiZ5SRe9MpaShzOMuxVkzmwh+8mCXdnVtdeTBMm1 3stjOWsJTSbhokePuvM8X4D8wAoaziaIjydoLBBU8CIzkqR9USG31jOPDeNJ qJ8oBAkXPbo4fMvx+Vm8WO2SurSvrZG7TZxUYA2X/hHAM5MdqbUech+Trloz AwkXva/5Rc8+sqPotutKXnd5s0iC1FrvsWFcC/PzRCHhohdc6yH/F2RVWXo7 Inp6ESs9zvbGicxab6eZJMdNF9KKHjC1/FXQvR45CdzV9R4VOeKm8qlmfylv e2NFYq33NHkHehRZBxOj6NFVY43lE5HUHRL3l9bwUcKLWZsbL/JqvRtGM3nH CoSEi17p4WC5OAUN5XWwzw/W9CwxbcJ7FPhajDY5dORIq/WSeaxAkFb02Fre h+mil8P/nHNq/iAqdGMHsLLy4rRUBwl+yKr1EnqsQFCih33NNvSlr4dEjyTO PBVae+NEUq2X1GMFQsJFz86Tsu/7r5r1LyS1w5btCE1BAxUF3S2F2+a4kFTr 7ST0WIGQcNHT96ks+XlxZs87ovZwZcF+hP7z47AbGzNyar1LicoHMULSRU97 ZUvXnnMdPkCo9bDns837nuvJQ6lcVRiQUuslMVrBTdJFT3dJFHKEztnZVODq Rtf1b6CTY4U6uiCyLEpxIaPWe9ZMYLSCmzSJnpe3q+5nbX0bbwtl9FWZjoRa 7+WxkdhjBULiRW/IFdNlx3znevmCNTI35O2Lacin9cznhnEphLYIjLzDjbHl 5vVxam+5MXjcjrq18SKf1kv0sQIh8aKnr4+RPOi+Hzy+GHFjY0Y6rZesZLf+ JF/09KtjRO/QfIH+HEkXAhQc2bTe06bxedIlLw2ip//KWz/JO6PjisuJ/4UR kmm9l0lMxTJCGkSP5qAe4n2UjRMMubQeMrEk27iJSb7ooek+u0bl7W1Jo4+i bZxgyKX1HjQTb2JByDsIWVuep24s2InlfoQNipS1mcrRSqX1nqTAxIJIvOj1 +dKRCYbWnakwrkxa74bRTFRVk7EkXfRy3dAqLsTJIizPovYk0nooOPZZeG0R mKSLHvIWk1/toQ3qLGpPHq2HQvQSGxzrJeGid4JNKtKrPeTzPYvak0fr7RjG 4xCbIjIJF70tLHqyq71NfBczqD1ptN7dpvE8DSYWRLJFL0tPEiRXe8QFfAa1 J4vWe5nYzH8+SCN6phNdt05eYGm5HbbQirhx0WJH8fKrPUm0npng/GOjSCN6 +jq0qjUErVPJ2HJ5bnAsh3WU5qJSKXJ/QqRaTztsQavsqpnN3eUPkh+u4EKe kdkG79BLj+jpM99FlFqv1IXWVh26WecV3sY+SXQWpBHkGZlmw1vdR4keO1Fq vRasWv8tuDJ8czY2NWfpFIlG5hG0XKsaJXoBiFDrabUGMv/kABwrEF9j76Tm LJ0i08hchZaj9/xiERQTiNrMQuoz2b9N8OtTdJZO4eqmuChAt0cfxj2SZaOy Ee1PM7PW2zGaD8JskPhwdVNsZJwsKnEPZdmI+pdpQ32m3+U3DePnfzbMG5aC qH+VMCl1oRzsCslucAxi34VWqNj7cO5R+KvN3wxtREtDzL9bMLINWAl0gWw3 6I/Yd1EAqNPlZtyDWSri/dUCU6ArG1bku0M/xL4Ls1eH6kyxvAoJyEI30PvF HrSsCH8Xh0lPZZpmitUe+rNp+3AyIvygZUL4uyhJ7iermEAHWmhNUww4vQo/ aJkQ+C4K2H1zGxpxN0QRGUVolQ9bUEtLPJcbgUWvCIc6cncItgVXSEWmvt6o d+JuhcKLZs2G7Qo0tOlvVSgUIWK2a41aWUmeQqFQxEWu2AVsDyXW0Ja1T8pV oWraTxQKRRTkWo1Opoa8XojFex1QfqQy2SXKI3pa3Z5AnLtA+6qcpL4QihRQ gIIlf42aPWiRtLVsx3ppRE/rWhNIFXruu6hDp2M9KHcQMbdPoRih7oSOuUWP vrQui+iVkdo2vRMI9uTpoJlFoRCQgWIb7PWc16TRen53QR5VITvuIoUiTgaK bbBLWpdO9AaeWYO7II+0RmOOWTUVCmYqkxac0opeyxE9/aQLaqenEJAMNrPU 22hvhIRQzr3esO52iZ5uVlWggEJErIF5VEXZ3gEa7SIatL0uHJENkjRar41u gEwgDXsCcaI2zKrsyewViSCXOawDQP3wiDw3yw1o9XSkJVYbrZylP9atfy7r +qZEWs9sNTpHNfgMTSBdawKxGr4C3c+ohUWDarzNUyh0pNKgttrpWOLXGLcH wspuE9aP8sKKnjOBUH2mFV0TyHrOugN0kN7RNbyTFfc+FKmhBFAlFj+tCOP2 QGSdmWmJ6wWCJpAqmUC64yYQvNerIStSToWmKmKn3BiE8B2Cz5lX3RqlJjV6 9mqCit6mpblJmtoJEwiWN6S7j9ReTyEWmt+olWJ7Z00gTmKhMnjLS2DQBKLh OaZkKcZab35NUygYgCRES1sTyOrIi9KYZhWppDR2rSYVAJW4m6BQBEGrzrV8 alRs+mk9hUJYsofk9E520ASinDQVspBt58mxl+xsJ2QCUaSCXAEd2EGrI3v2 8Wy7lYwJRJEOOl0kd6uyR7HlOnkygaQx06hCRgpohSa73CVmAlGkBw2gloAs kAmZQBQpIuMq4y0v1gRSTcBtKNJEQViP6CAcJWICUaSK3uAULFt5P+r8KAed REwginTRsoOGtlvQktU62Bv44WQrdbXnU8hAtmbtk9qFdtX6I++YdSaQbItU ElQoxKdXRvHdtaLMMWxoAqmRCaQm7wSiUEhIEiYQhUKhUCgUCoVCoVAoFAqF QqFQKBQKhUIRCf8fDZjjOg== "], {{0, 0}, {891, 406}}, ColorFunction->(Apply[RGBColor, Part[CompressedData[" 1:eJztmMduHUQUhg3iAei9iBdhXgFCLysk1uQRsswyPU73ggULhCIILBBEEERX wL3b1yUucWyHFYEgQTIz9xvL/7m//ADwb+4dH9+ZU/5TZp5/9/19793bdxf3 9PXdd/fj/oJDqX4eSKz7Cn5Phw9lLKQXCxbaWuVPFnyRni74ssmfLfg1PVfw W1sjP9WfsZ7eKFhva+QPFAx19/0oPVxwKZx/8kTGeHqsYKLJz5/L2EpDgxlR /wcLrnTP+aatkZ87m7GZ3inYbGvkx49lXEuvFFxra+RVr9W2/6MF3zc5+vaf zJgI+qPP4wX93c8Pg35vFlxPp09lXG/yuu+a9c/RIxlLaV/BUlur/x8p+C74 78zpjI30VsFGW6v8qYJf2n7I699n0tkzGTNtjZx4Vz98EuIPX8bHMlaav5FX Xv7c9K+fY01+4XzGdurMZ2y3NfJjRzOW00sFi+nI4YzFIK9+G04PFYw0Oev6 fyNBjr6vFawG/atfbnT9OJ2eKZgL59e8uhz4i/1PFPzU1hof/KP8JB7wk/OQ 4w/qg/Kf/V1+V72mbHyJx9xsxmbLZ+T4o+472fbT/B8bzYj5ST7Vcz8I9Yt8 qXYOhfjXutZp/NX9iUf16+eW/y4+nOf4p/rp/sTTxZf68GrBSjpxPGMl1LeX C5bb/ys/3y640dbI8afrD9Qv/Kf8xh5nH/XO1T/WI8MZS4G/8GN+LmMr8At/ OP/A55rX3wb/Yl/142ioP+iDf1U//Fnr7mCoH/ir6j0X/Id+kxMZayF+rF8v iHL0qTz7IdRn1q5/wp+BCxmdPfNP+xv5xflqH/le4zwV8p/64foT+8E/zkPO vEJ81f5q18200Mm42dbIiXflzViIP/wgPzX/0Y/6ofmDPvQH1Q97qh/mg32c R//Q+QB/4n/9Pfni9meecPMX+Tk1mbEe6gf6uP6A/sTHzW/0D53fyGf6g+tP bj4j3/Gf5j/xxn9ufpqZzoj8JN7Yr/yAb25+wT7XP3T+0PoJ/ysPr4b5nXg5 /mKPq8/wFX5rfLHP1WfsdfWN/bg/aP5o/DQ/8dfwUEb0H/YSX+ef2ZkM3x85 X/Wj3rv+hz9c/4DPxEf7B/ng5if2Gx3JiPvze9efiL/rL/AT/TS/tP5qfaE+ uvpHvOg/2r/xH3Ldn/sw9y93P3b1jfOZf7Q+EU/8p/ElftRHdz92+UO/df7B fsdv1tzf1T/UD/iv8YPv7n5DPWB+cf3DzR/I0V/3pz7sdb7jP3J3vyf/3fzC +cRP6x/8df2V+ufma/zh6jP56e7/Oh+6+ajuMxvmL+qlm2+pr/Bf6wP6OP3w N/ml/MQf01MZsb8g5/1B/YN/3XzA+cRH+YHc3b/Rx90PdH7T+Gv/0t9rfLT+ oK/jN/Fw7xfY4+Yr7Hf3a/KT+5d7X3LzEfa7+kY+T4xnxPwmP4m/zif4w+2P v9FP/U98Hf/oN7xPaf+hH7r5hXpC/N39yPUv+Mz84Poz9yOtL/o+pvcbfZ/Q +Or7gOaXvg8ov/R+7t7nmH+Ufzo/aP3S+4HOlzrfav3Q+UH529dFnRsG2lrl f9/O2LBy7pdOXvNo0cp7g/q90vXPcvh9zYfR7vw3EuS8i/Op8j9vZay1T5VT /3bzZkde/fa1PZ+5zJ2P3935fKu8i+fzzZ3PN3c+39z5Na6drp4XjX0H07// ZGwb+WR6oSDKmVdv/ZGxauQLhic78Xfy3nbvyHvbrefvT87/te7Mt8/e9h9M l7/K2LL+312Xo9z5h2+7606UE8fe9h1oedZbftHym3pd+/ePQc67QO84Uv8+ bv2l9/kDlh81L69I34z20/+dnPfB3ufv7/af6T3qV1z39uuOnL6+V/xu/5UR +VH7Du+rV+3vHf/IT8e/av+g1e/SpxnLyfGr2v/ZnvWtN/6X/9fldwDIEpet "], #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{1200, 400}, PlotRange->{{0, 891}, {0, 406}}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{3.417827649657582*^9, 3.417839341264286*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzNvQ980+d1N/qbLcsymEQpbqImTiu10KIONrRCX6s12+wVUuuNW6yFtFbq dJYHDGvQgAudo9hbjQcdOCR1VfrGVdS9AeMUImhhhvd1avHZ62LSkYmm3kQb 98rXhosodid6sfnxqYl/93zP8/xkWZZFd+/93M9NPm1k6ffnnPOc/88556mu /+pfbd5e/9VtDfXWJ3bVP/dX2xqarBu+sou+yv89RclvV5TfW2lW6PNdpfB/ Vz6k6f/s1zRF+X/21y76aEyUBk7bDO4D3SVqiL57cPbn5+hjkTYSHDJVNDw5 aOk97G60L4/WKh+j7/O1kUQ5/fcBfE7W4XLlZ3NvNcSHbQb/ZTWUx39Mm9vc B9TWj+KG/iu+7dqIsgSf1VBTNPa8MjR789fwdftq+/pYn7JcPN++vHePAtDy Oxz29Wok/V18ee8ey0C/qizDq9SIa1tDsRrC9YZkXcWNhpVq5J3ZG/6CPpqS df3n2je6D7iPB4cGy9SIAU8ZtLiqYl2EHF0Qn+4ucR8I3o42955VlO6SPAGV a1t8WuGLXVUdOwkSfL8k1tW+0VXlquo9rIbCu33bE1/StER5Q7GvmijICJsq +s+J+9TQoKV7jZLnqlLyg7f7r6itSgG+PzppOULUTQP0y0CgX7Vesxxp2pFH YBiadpjb7OujzYAwP7xbUQhnAFAwaDHZnD3da4JDSp5jn1IIiPEI9wFTBWGE F79PUbwTakTT+lWz17EvvIlWYRURwOWqSrZoWnzatsyxxYRXaiOuKrM3UYq3 LI7W2jebvb5VvYf7r7RvNLfZloU30doxBPFhRWk6mQ7ys7g/Uf6pwkpTfBhv NcT6nBft6+PDANMkQKaXDduWVdxIlOaJy90HUhROA7hQAKyGPCcUZeQxsSz0 myIBJvYSABODOBOOY3wBMZqzp9IUrcUTChKlvmqTLdCpA2xf7xlXQ8pPJcCP 8ZqanRcHy3gNCrSRQKfzYvA0XU8/f5KXKxLrStYpRsEfloGmKFO8MLxJoBLo VKz9h8XSCk5RdERsEhGjQCTZQkvO7ymci4PCSMT67Ov9SQEnvbQvUcovJfKY bJXEr/yDrxof5yBguHDXMuA4poYM4mrnRcuRRCn9+Ke8RG/S8rVJkAX1R/yn FIWoYBCcOQfkDNprI007TDbiSsMcqJlVBNSDZdZrxNnFgm9MNvvm2LsMafC2 fTOhkA5pgRppOkTLsYvImydu2HvL7O09LIE1sLKp79iJH40CWjXSsFIQbSFQ U3x9/V5DseNYd0l8WhvBW+exCUmdosParxJVV0iqBm8rCj1Nh7VUENKxz3Es Ps2ARmvNXs8lVpB/DNi0kVhfQ7G5zXEsWS6A3SSBLc4OrM4K+QJYoTXUUL/a vtpmcF6kdc/CEQzvFWURc3L53luWAZMtvFY8JwPkxyEbJNht/qSmJVsc+2wE M30PHW1SI/Hh7hLPJVOF9RopuL78OcxwWVGIo3Ixgw402LEouY7YIQsj9KuW I0Rco3hhojS8u6HYZCPO3DxoKRAQ20g4UxB/EGRrN9uXx7qCt83eIBkA7dPC 4gyWeSdsBus1z4mOndFaerEhDWCtu8RUT5+FwB1OAWwAlUnpjeCPIrpJIRtA XJGs23sr0ClJbiLOU8gMhRh2nS+ir9iX01MAJSmOpkP2zaYKV5X/Mi3oqyz3 HTXORJrUMejxaftm6zXnxYZicBuDTlxgGTC3dexMlKqRQqyariQS5Uqefb1S SKyp4dWWqym4H4TyM3sBoqaFv00K9RA/cMRziS0ggx1tNtn23sL3aeycKHX2 tK8WxBksIyFX/JdjXYTbiFiRhieBaQrqD4FIAMhmiHVJiMlWuhuJVZoXZRiU ovgw1GjTyY4a1zahnsX3YIvuNe4Djn2ecZuh0qSby2Sd54RnvMNB2jSha/b8 NP4wJFsqTWavWB6DGrKvtwwMWhYLqRdrlU5e1sSkTdYTPBJW0vKWI4TvYvHk 4BARlV+ttsaeD96+cDc+nCgNDklL038lOJRsgR4Nf7v/SqIci2tMtkSbg0Pd JWTwQ/kSQEhbkbADpnriT+mt2Az2zdoIvyvWZaogcXsnffWjzbZl/ssNxXQR LZv2KWHYnT2krIhj8oJDdmEfZx8fbVas9BRp8ezLbcuSLQaxBK8ubTcnWxgg CDkBob/rccGzYAVyG8rI+gjmcEoS7TJ721eT95RHtKBV9F82twU6+UHRWn+S HvSRNCx5jds3YnUYjMXBM/b1TYeitYnSRDl5MGb7ZvCYEP9Yl20ZORM/SweE 2PsqGX8NapyE/YpE3ACfp+mkb1Ve5QrF4BlvOkRuUCTdRZkHRbKFZLtGEEON RB5pOtl0Ms95UTE0PNmwEndL89B0yEe+mw4E62X4HFDcfAUJpVWIs/Y8iwRp SS0iHMtkK/lnoZRj+ZhgQs+4ydZ/xSCAM3s7duI3v8YeLXuxS9I+/yz93u4S uEHaiEE8yFUFd23Wo8zwsM+wvQtFa49O9qtE8JfEG3GHvBKqWTkN4U3WVZqc F4mC1eyJHMKlpEYccy/9oSCJP2k5klzHa+S/XLmC1utFoaLbV8+/ngjiTNAy 5oslJXG6ol/Oj/8JoEy2XLjbbu4/J+WJnI+UbBEGkUc6HL1nCYOHxd+DZcGh 8G5aBYPQjINlDBdze0cNEfwDuoEMbwqcJnxH+EEX7obXAjTwHgkxaf721fSv uXePNvIIQ7GO/MvV/SotqYAiFDgtPxOE/Vc6anoPE1Ty6STHt7vXkB7jp5Md 6F7DP7DVBGcqFtwYn+49G+gctBBYggR9HTXSFySL2nu2Yyc9tFTZm6IXKdoK Urr5Qt9UmgjUdHq9heVSQy67a1u72X2cNKlQ0KSLTRVkF/Pk7xQK7L3luQRN q5TwErcgePJf9m23rycdnCeYDE6FcBeCZ0y2ZAtjVxgcsl5rOuk/5diHwEU8 c+9l0p0wHW8qCuSE7ssPnGY/5/34PT5sX+5u3HvLfZz8wxbx/GSdqYLYie9P lLuqiMUONRQ7E9fvKY8IveK/bF9Oohe1Xms3C82cbxlwNxKFmJJmb9NJ+oyL Cy/cdezzVfuTjn3OHlgzXnyHyaYDGG1GnNWx01dNsVpMaUtRtP+KZYAgkpxV ucLdOIdhL9L/HiENN15pQkCphtzHnRfhW6iho5P4rzbiW+W8CIdWjXjGHfuI J5bi/sBp6zUdkECnY1D/3F0Cgys4knxzOLoWpsY62zLdt4k6LQNSF9OKH52k //JnMvrkPimPauycVZpcVVAtyTp3o+snwigTTOsEwv5TFNVMw9lyN5KBfESw oc0waBHP6r9CwXLzHJiMAm8iqsbSRBzgTLSb9RWyXqO301tizx+dFJatYSXp e03QwGVP1n09jarsteWLpyBcm0dVkkdTPbmQfM1gmamCopMC8b1lQL6BzAS5 lN9W3idWx7WtwyG+RxhB1CrKpCJ5Qhd1PdF00n2AVpaxCn/beZF4HZTLv3DX 3HbhrpIyAESFAgHnYBnBIOMYemaEeZe+920nv1nIXIv7AEVY7EX2qzAL9O8h aPzuEiZZv8pekXTbnQkCRj68/wrZO4kUC152akF6KaBMl2qmVu9ZUwVJl4RC sdJbpSNvbpNODt1rspGFf5+4hkN6ydewevOpZX7N3UhYChV1linHIZ0aaTfD ekDc4XfYdAEhDBRSD4szSURLU6WrcZCLlptJFDitKIHTgdPBM0QiU+BnTKL2 1RwjSoVHeqlZ+ky07qSjZslCyq4++kpqwXvIIs9jIjKQVoKOxcm2rGEl6QOD VFgVethgX+8+Tt8/JDAwv6aTSxtpWEnKKp0sjwhsTBVELoOAwXqNjAl7y2pk 7y1nDyyCuK7ppG0ZP4eVGUFl5meR8R0sq7jR8c2HxZrYDL2HdWtECikk1o28 44sULOVlyhxLdURfZ3JjVMHByRboGKnYdkLjpFEKZpSoI0TJYrkadSoHAPHR yfgwLiIz8VZqzUJ60DRLraaT6d+nU0tRSEWn1lVRslPLfVzcS5wPcYJDXYBg 2XEseIae9bD+Dp1aCH/IRPB1iVLPCccxMs0RcR2tJqLKdLhAAApebMsENk0n +cUUBG3TEycgv6SUKTjk7Hl1af+VQKflSMdOLc5kOi3ob/bS4jMNvRMu+MD/ gEfDIprqydqs73AwnSjMtxGB59EJPpaeXyMMTmSl03lShlXZ6USCLbjKaV9O 97CvGTht9pJSnkcjUuRKYJdOy2gtmaAVRBvJVI59pDr5WTJbwhz6zGJfNcIV eg6/03PJZdd9izQSFSJ12F1CkdPx8Lfp+jYt5eq1eC5VmnzVnnF3I1HqoHh5 /xVEYToT9cbYl0g91J+UmojCe50I+L5ph66JzK+RnpUc7dpGEf08TWRfP8v1 Um0uEoia2+j6h3VR13U7YnySKuGs11WuINF7WNNtRE2KYVdZrwkCxqcrV4A5 dcKk24loM3OFUWhB5ql9mu4iw1HsPRttJoQOiRdEa+lBb4lVN9XrLwt/m5wZ iy7algE9U0Zqm/x53YCR8TikpyZty8jYMGfDFVUjghwWwRKOfXqoR9ZzG1I7 BYJ8wdvSpaMfzG3eCW2EFTDia1LM+ZJOCqksXuhY36AFNpssAK0r04jDFuL9 EemEsRMpuayjhgxsikjRWsvVQad4qFTaTKRYl+OYFhJEEg49fEgKxsn0dSGZ 4LwIx5+F0Z8UmR6OIRLaCHwjU3gtcYqF/YbtzoQaYir0nrVeM3sbis1eSQUt Yl+/95b0UNaYvcRDYPJCEBE4DX4RoT7jhBj0hGML/J34MBxBvvDopPWaeLfL ruME7djxTfHQ4JDNQFLOOjtRTrEfYY43F4LiwtMxVRA1C6W+7iHSM9Kv65wR 3jRoITYiTLbgPjXiv+w+4J3wXCLPo05AS0Yj6T7QUOwZd20jkWZvWw35L8Md xXfRMqkGvxQcqjSR0ZJedu9ZksPtEPrgEHEkPyva7D5OYdh2kqGkVCuFiS+5 D3hOeCfol0NSDRTCfruPU/y/sqGYnsfXaSPhtZUm74SvuuIG2R3ObMD7AS35 glgXMiQNxZUrfKv0B4Fynyr0nHAf95wgW856oke8oWElXbjdV+3YR+wtY0zo qeaOGs8lhBDIi8Wnyet5Uw0V8Y8R/Bnro4c/LC5OlA6WcfZ6sWBF8Cr7aBQ4 x54fLEuUcm4x2QI2RtqUSVOAfCE9d5jeIB48Ep+O1tLfIXFzojxaSxK7rljT Ha83xY1pDzKJ36LNBD38r3zOOWnK3+komqCXOYAe2XvLvj5Zl0qb0j8cLduX k4LuVH4sFKrZ678cPOO8yBEAKeY8dnFEnP4xocqSdQShXbw4WUe/f3zhy/Sf OMQQZko5pgusrlxifTYDecrpkD0qtEGgk5aAiUFRbmegM1lHf+QFOh8VrIyv FN5dsC1jJMSvqa0yC/95QCg52zJy30ReqNSxBfxCL8+jd+UjttbhRhqc4gy7 Jt0A+ufj+mWWjMsa+TJOlVC42HMwhVysz75ZNyGwceSd8Ytjfc4ebNPQ4/Kc PYrReZH+7sH/O45xXsZxjP64mOWPIv0Py4CimOpxEz+iKP0R4v+VeTcb9T+c F81eoFLo2EJ/9PBX/6kn0R/ANfOxdBceYdAfkUJOf5K8174ed+eAL9uD8tOB MVUgsZqLQBlozaUxvd1g37wAjefB1JMOE9GHlzkXfV4QdstmoNhf+ABnHPvE 5/mMVpzioPsxmmvbQoyGnTLp4BV4LtmXI7lNPkUB8LT8vfkvTR822X6MR5ps /IYH8Flkx5VmeptjH3L4wvghFRmlL8kWBdJuceGzsydDfJHglvFKgbPHtizt xQXOJVUbnatW/MSyWRlIe9CDivK8cB/IS7KLWxPlZm/v2ezv7KjJeCeQJWLO eSfyIqQWF2OfhvzCVxpPVz1XtbHi854H37hDztBlhJqI3pS0lxPSBqFGFQX5 rGwv55299JdDpKFfUyKdmKOvOGkfeyHwycZdNe9UPefZ1euM/4j039vsPB2m K6wCAG2EZG+LzOS9ab0m1AQvO8UreOfPpXOzg9yf6dRS8w478qJ62thAKKdD gCcWJZ+98G7gYY+j6rna3+zdHbbEf6n8SwoCcnHx2TMOMyAw6V5j30xcRZ/z AYE0HldmIbh+7+CsJemkUFyFJWk65NgiXTn5drg+i7QRtbX/f/ISvFzzju+p 6Ke1kYuZrw/vxo6E7vtVrqg0qa36++H1a0hUafmWgX5xBaK1RGkKClrBveR0 KHkUA+Y7jg1y/jENkCIBSPx/Czzd+K2a31Q95931xt3YC2rrjzMAIV/LfcC1 LdYVnw50Wq+Fdxt4GfLMbfCCmQ4lvEjD0DmIk5TCyhUdO/uv9KvJFmxCKr3z Vkr3qLrCmy7cJY+qMA0ymPFFyWcHHwt+0ksLVPOOf83Ru/FfaiP/nAYZNEhh fNp/Cg5Mw8r+wyJkY8VFTiQJf6KUPWWEwACJGadRUciBnw/OP6W9nss6tFD0 Mf9SJa/qOcVQ83LTJ2IvaCPn017fKlgUO9K8wYLXDlrg0jesLBEySIysKIuw 5Cbb0cmmQ+AJNfSDeYuV/u6HxKLEfhT4zq6hmh9UPdc4dPTnsaAa+lHau/eL 9xmxa+Q+LsoJ3ifeyZK5mP5nMnttBvpPhakeVmjQEs6JcwnLRN2//jb4NZDc /VBTSdhy/T2lD9dc2FTmnfNaaDDLVcvAhbvv070S+uF9oDL2hbSRdjPcRyJN T863wg0tUs/3v+IdqnkOsrA38B+0zBBjoi3xR8vMm/Tv81OHlbypPYphwjye HE9ePWQY3aDk/7CAQ+d9AqpCYTHCa3gzpkVE6Ui50G9LsfRNUWzlK7xQru/j 7bG+oznX4gNyLb4beHjX7Zqf0lrcFmvx50zrR1gC14pHaCH8m6+VKqaZvpnm meY7ZVOHp/ZMbZr8t7zJM8qiyZrxW+O3rp66OX5z4mrx6K9GN4xuzSMsDKNP 0McNo0/gj6Ix+5hrzHXz4M2JsYl3G1++Nkt0k0BP7I77qinCljzGCo11coWQ HWGEPJdgX/A/2zJhJJGODt4O5VyPUqEZo48FnmZ8a5qWhi3JVmUjM98e7MsK +6rVaaVa6cybeTNOpeCOZeqpqaVTS8dfUvLGVymGq0tuvo1/88YOKkU3D459 fKxorGj0xujWXzCmClAt0PEefYtuqlYKxndMOCZ3Te6aKqGlfloxTZ2bcdK/ ZTPDM9Mzw1ppnkaKuH+NxTZLkyJJE0KtcoWieMZp2WWJVeUKMD4uKsD2N0Uo J6CtQBuyaYqkTT42gMHRoKHzIrnCI86edL/iuzmp9SHm3lBvbe1van4I/t07 Fe9XzytP4q7+K5CJjp3vY1am2CiPbNwDyRaEAfD3r9+L1ibL/48r1zqvHrp6 crj6Fx8FUxt/wWTh/9+SN7qf+GPr6OujPaP784hQRfTxrV/RvzcXjZ+a2DhR 82sQ6wqtwCMz9/CvJjNqc/WE7kxxXVaiFK6lbzspZS6V0857J6TSzhdGS1wX vI3qifgwCRCTyjKAxIbQopaByCP0CtxjtAx0l8DV7XCokf+WU5xsQpyinyZ7 M1TzctVG0upXyN6c/6yGZEAM0RUcPbUV+r9AbaUYrzm8G7uyxPRGhLZIaVSu sF5jaBtN227AnwDTr64oqyir/6x3Y9sX9z535JUtfa6hJVdfmnwob7JGMUxO Tp2dujIVy59B9Ugp8W6d1rJsYTqJzbjSSpOQNEEnH3mXhD9fZ7LN7p70Hm46 RFEQqxVzW0OxFnEfYCLZKNg2v8ayWYBQhK3pKT1RdXSSfKnOed5DOr0+In6F OHY8zHbI+9Cu273N6vfWixfzUxkg+/JYnwSInNSRx3pjwSEEpvb1NgKK+Tu/ Yl/Nho1HlPyNbUrR3/34h8u/vr/t+N5q77hn3FVFuoMX0+y1DtiXu0xHbyfX rU7zxzIIxD5hfBoEYqHjHWoopjQCXWHHAcUQIYrNa7kMRKOguc0ohDC8iQAz QbPBL8eulW+VqQJc9s2cQvcxoaLCFi+7j1Ubj55j97GCr1HZEOF/puBtNZQo jzqDQx07G550/QMQXExvOGIZsBnsyztWv3H7Xzf925lLh8YaWSMVju4ffWus 6OaJiZ13ykjZAPjFidJ+NbCr0sRktCJRHl5LCK9amHm4au/6PQhZ0yESMvBy IYXTVsexaC0qSCgeeFD4PuReLvdOEE8w81iuDlqQRwRNCkwV4d2aho0YXpiC QQt2LUmsvqR05BQyaOdFRPLHgl8gIROuE9ksbWQdg3yWhYwF2nHMtY2ohccv sS93JtwHfKv8l48OXdj9709dOz3x0PiOsYNSWRfefHv8pUn31KaZZhKdEYa/ KFE+aOlweC4hn+CqotBkRPn9hcliFDJF0YzCGSrkfwp7D5tfsxnYTaknfJAp LEzWtZvbzbHnYeuQnyAON9nymUAD0eZEqbkNq2t0bSPZUvAwURVKkUa7mfzz v88pUr8vVFCyNfppfy+poJdrf9O09MK76vlPpUkUpPcBU4VnPHhGlPAkv/Qf fb8+N2EmU1Y0+hbs9hNK4diJidNTV8gytWgRueFRqIbiwyjvNL/mP0VL//GF JahQSJDzosnmOUEhxiK+PWI5ajkCD85kI79dFhYI99WfFFrPULkC8afZy1SQ cZiCbVWuNYX/6djXXdKeU4b+kNfv8aPnGjthuDxu0sNBtZV9GU6f0ZoW0XXm jtWEXulM7dTa8eSYi831fhIR33jxxOSdWq3FCjR6z9LlVmcPxWf2hRnAJOTC scVU4T5AgTgn8ilcV3Qdhlo8TVRJFEdrHccc5ASGd0PwHMdizahRM9UDKIP/ FB4YOM1xhrmtdw+Z4MPYQSKSt+YUDgcLR+vgo8EveE+zcDx19OfxH1GgKbzY ppPWa+yw5zuWXV1CeiGfmX9iwjx5hvyRPiLGCFd009IhxLCvJ5xXpOGMXLEh OISPg2VgcWOyrumQ2evsQWEjZyDDu031xGaMsrkNNdHK4+LtXNOCVTRClbIw r7ccYfFnFx8b+weEr+c54asmDcMPQf0I3fRCTsb/hPhVDV34bdNSEdO80/SJ wUfV81BlhfHhppPm18BNliPOHqGWzbYfGscmJm7POEnmicU/LpRWdwnxRVvv WZFzAd50G+ON2Ap4C+sd6VhtstkMdKGJ+T1kvWaymWyOY8Txl5iIRjUS/Ddz m+VIeJMzkS/MJPyuaDNpBOnSMoMzmpUmZg+O6UlQBoiGX8vJ5P8FTB7/ZfBr jWcouN3oqTn6P6JfIl8WcJdgU4cktd5U4dj3woPxYVFLkayLNv/T6eZ9ZRXO 5Y59js1HbzuEDHaXULRzJLxWG1meudoolAXWS+SVa1BJGbydbOF0OvzSpkPx accWs/f6PeaVoliXM2GqR0UNTCJFcI0SW1tKGIxkDKS/313C1sGxRZR25Wkj O3PyOArxKHaOfjr4tNdNsfMP/SXBp2EAPiIW2ldtvWZu85wIThK3wVgVaSNT d0nVbxjf8R9didL4cHxa+SOx1r17rNcsVwnbdKwz5HqJUAGWq9hBl8UXhVBD wSHPOFmz+mitCBmSdb2HBy2ikC4fG0/6ypoq7OulnTPKIj4tsMuxheXbcYz0 b0vTDs+lo5Mk31+ZxT0Ll5fzoyOk3J8SgXvVy423L/xWG4GeMoZ325eTbvb2 nlUjRoHgr0vI6H9j4t+YagZkzUy2+HTKNSSoMrB9gM1YOWkxm8ueXCfyKVEn GiJ0zwfJOAXOkxFlIiRRA+FNQncXIIeFx0gxJuXVvabhSaw7Z7e+kpOf/1iT 6ZrguecnKeJ4zvNQ4AvRTyeffYxlKYR9PJuhfaPgPKNWN/EQKWv71G4KajS5 1wfZU1tE9WP25YRpNybWNaw0VTh7eg+LajZTorSCWJZ0w0WkdROlQG8x1JH7 gHpeG2FfTrFcRbGzXqvND2c/PV3Ju+xIRYq+CFJGd8O7k3VbcvJzhdDZMf/R /9F4hvj5B7uGOp5GMobTWR0OtJ/wLhKb1JnmsbeJk5fM9DEzENOhEik4lANj M6vplsAuLFX7RlEninI2pXKF82L6laxESWmdUZTe74iCzU2zqFkGnAkdZes1 7OKIQEoN+bYTdyDtlBvTz4hfY35/oOplsG9+Y2d/n/o9LrgxhDeh+DhRynZ0 xkmeyNbxQ1oLs4Xh+j3SrFuS6z68MOciUVMQrYWoeU7opWmeS8TH/yBglteh sNmkfs+3hP0KeipRwsoX2JdDXymy0HMWcS6U18RnlGvQ52dzcvIT0DrX3wuX 7X3K81DVxtp3Ag9f+G1iHadsDNFaU4Vt2WCZ3J8erx59a2KI4to/FabV7PW+ rYZsCy8nO5GxLjCgM3HhrqaROWZ/V4b0YItCFBPAjMW6UF4pVI9nXKT31ZB9 OetjdyOyi5JvubtAx2sB9VPFrBqKB3s/gMxuzQ93nQl8EqqXdSSxIgnC0Um5 FUmPGTs4VqW1VDCftsB6BodyICYydC3tZjKZA2hDgNbQPQm5A0BOfl6/Ck2G P/2XJezYqxDrRjYoJZeWIygwl2qrvmHlXPyyMOiTQgNFnyHf+Z2ql6ue2/Uz 4s+QNgJfDpae62PYsZvoHH1i5gNKJa9os7kNyVjrwsz5sOBwiImrygBjYBmo uEFfQiYIOcuAJnPXIgyTUe/6WYlzJlKhO9L9itmbbHk6Jxd+nrnw3ht3936b uPA5txtcmPxjsU8Mqx7rEnvmM12jb41/Thup0Ilj9obXWhdeKCQ1jdFaRNWm erPXVME/+rbzj/8V7Bec5LQTqeuOGgqiDWkIcO9OrA9BFfmrW2Jdm2aRyMJy sDVF6vfiP3rjbu1vkCn37gp+Mv4e04pUlfm1SpMaET0NreOfG90y80ssST6Z fqVhpZIDCQur/fJ2M0jZ4WhfDdewWuOCIahKVAVCszHwxsAukYhTI94Jtmzu A/iz/4r3bdgQpvXCfAUUlww+6i+hdfhB1XM+isiSz4rWEnSQiPTC5K7RrRM7 lT9j63IcCpbzbwvEV7wRTg705ti7yRb6ARlb44W7IiOODp9UwZUi0gXkEFD4 R/xnX9579vPzGAeVQbRYnCpTwFfFsMS9Fv9TnKM/HfjkhXfDT6P0EcAa7vSN vn7zba2ViR1eY6oPnE6Ddh6xBbRW1JEytPBw+Qcsr6H/HGfFuJsunzS3DnJ+ soX3mGX0xMq5eh63MORADP/UMruErr939FzNOxQA/bDiRYL5W0xhum3q8PgS bYSFFkU1pno19MH7QG3+X6SuKYTnHzzjqCZQ3BpvBrHGZKC1EfCP7g1gJ1Pm G22B/1O/pvcwl1ZumMcpjIDLLjbEv8Qq9nsXfut/CqCvvrm3t78r8bh6/vOC 4bFAvYdngZ7HGFzgqkZYvtixhogiMfcMM3wpvHco1t49KKCXUL66VKqWAtTF gYUoClqfU7s8K3QlYsGKS9jZ8HYSqK8k9BIVDav1Jym9Sbbn8YUpDaCL0Wdq M3jGG1aSp3Gxw4HfYl2xPqxp4aAFgTWSMMk6opTU77wasujLXjCrNrnn489y KpYv45XRZpS4JteFLfA3a16u/WHH+xEuczHf1M9vHrzzpsBBDSHtEB++Dw6F asj0dRSh98bMrxFLyI4Z5CkHLbXCeop6FJTgYEPD3NZ0SLbGcHjEllo4HJpm ORLo/JOcmuXLurIjLZLHzz8/+Om9/+7thNQ2LQ1/IB4UtWgFE0Ojr49unSrR QuxR8U549xrlPghxOYJMei6SxUOaeh4GC5RLlNcJveFuDN4WfTrpiBh81byR NiAC3BUsweU52erLmmxPQ7lavuCx6+9d6As8jGSo1+FfEy6Lv8ctvlpkas/o W6Ovj5/Syjn5lyzlQr/7oQTTZ9+cysm8KVkI4eBh1zbLAMV2mxn1rllE/Kew YNJPDJ5JOZILI/IXrMf/5VOF0nM3aKH+Pu+umufY8fV/NfqM3hWjtdwcH90w 2nOnWWE0Km7YIXqludFgB37wiy57ZmKfeDX4LaQSKJJuAE/qOTTHsVgXQmJe C1M6CgswF6OAGI9MESTCTL57MLBHbhV2Hv1O7Bm1lR5TN2ke/cbojcmhcp28 sefngD8ne4JortC3SlF8q8Kb7MstR0juuV7Rf6pyRdSpjdRrbIQRipnrw2vV UAbQsnwqvAklpmvvvwhQUSTo0EtLOG/wHS8XRey6HTx3/T0tNHVu7ODkpIit ew9ji+M+wA9aEA1CizYUq62iYI/itNfE7AWlXshkeDcpPpHN4XZ6KdpnhGj3 n5Mr17SDs1ufuD8e3Hm7hgNYOKmP7rpNLurGqueIlz5N2nZEbrwwjdBHXxB/ 07FFsZJuFxWIORwhtGhU6erTsYVr0tnnpaCsArK4FQIXXoutdsVqqlC/pyM2 rt+lWLnn/xP35ygUrJBvhmDoQXIyfhTc07S09odwMo6eiz5DOiI0/rlJx50u ehpWlyJ/JJksA8EhNfKB3HhQXIQdB+Rl0Egk+s6REvJO0MVq5C81meLzrSLl VaqXHJI2kMZbdDZyeij3aqDrP2E5Iqp/JVvBy/Y8tGvon/Yg2zRmn6jRygUK 3GYAXb9DFgLnQKH/Cpqtky0VN7ilhtNuKMJAesNXnSj3ZcJMEvT87waz2ooI LVGKaKRYjfS/0tgJrVrz3PcnfoG967dgHqRnrYbo3whyooWoOxP8zgmwR+6D AOStY2dynbPH3EZy96Am2xHgYCOHvU3IBxcuMAKeE1AjOgI5WMeALSWIId7z fmQSjn6taWnND7bt+P7Bdz47+sTNiRmE5yPorEVbXuUKzyXuyeUUtpBh+cpL I49popEvBypGbE049lFA1OY+AH41Jsv9l23kbaI66a9YBCKB0xj2IIwJxwKy Ar+jhl68Ssvlg7CmCJw22UisAc7iZGvMH3i69ta2r3z/r1/51zdUNdS7R6bB ja5tLKIK9iE+KkSdv2DViFYwTVYpZfcLme1c22Ydas94KjuEpEwtNjsbBbP1 7sGL9JbiAggs4gby01fmZDLGB11dRGq4qIvU1t5a765a4rGKz5sazPUdZtFF XJAo95/CSJRknUi9ovVPEXUKOi5L09YGXnF+95rgmeAZ9FCnUjKPZlmzyhWW gfBu74TZ272mhPFphS96/R5JycgOPCj+Jm+iytwBZ90/npP36oXFwYgCNfIh fuZ5EvivOVaYKgLmAnEv0pOB02J6DgmvIguyHFuwMyK6JdKxYRC4mqV0fnRd mCwnB8sK14sCwTq9EdhXbRnYe4v+3q5xbo6DbOGSCHrY78tu5B2Y6tEoYhOX Yn8gPswb/Riv4HtRrAdaA+gOrAkxKOvEh9J4S2CwLLwJnUPoARws4/aOgvh0 FmwM3U+ZbKhxzUPiw7GPf4DoFcCSWo5wlf9f8xKX5EIpC8d58Rmd/aQpOTdo GWBARFNHs81AKyoRYs7nzXPza45jgV3JZ0vmr8lsazVaPui/tiyLE33e7G03 qxHsg5JpsgiGxpgG1zY1orCCjjwyW7yAPpb78hhjEug01RNAwMSAdj90pxqE 3nF9XFGqfh38Wiz4EWkA1it6hFfhq+49nKx7+P8ePsTMlSsQeFmOdNSIVoV1 /stoT/YJ0USORLypfXWyrumkGLWwMJ8xKoNlXIUPVB5SI84ElAJ2R7SR/nPY prAOVny+5uXmy42n+/vU8yJTE30lFbbmI56QAOo5Ncl1XOeZwonekw0nLcIi yEEb7x8Ixyi5DjULsEBFYocGffcYY8J9Nyvuz2skPkRtscEQex4TCZinirHj FJ9OPP6jkl888ZOqr2/ftfPoudgzyVYEI8Zos7sxcDo4hFkxH8hcJOdFTOOR NdAQOys5OiFkU+YhxVtKymwkSq6M/xaSksT9fz33gv4rH8vJbogMyKGGMDIy mM51pcPRtAPzR8hK8wixxTPT46dQrPU/t329uvadppLg1+JB6U0aRSRLfLjc cWweUu0bsYnNSBkHy9zHvW8T7qfU1g9mwYr0UQIdtebXukvknBcA7diCaF84 C+UsTDJZwXcun8UuCwcydk0nucv3DxmRN8eXjD7xiyf++UDtVzhZMdT/W+I6 njKBFhDLQLIu5ZjprIbGZ9EaifqsAtQ6m2yuKvIbH5+f3S2A3cPMGuwQmWwf EssD58Bko6CU8UhPTs/FYwGWYzwQqROXY0tqCWLem5cQyR+9wunEjR5H8AsX 3k2sYzVE2t150fxafNiSsSAPqhGboXJF79lY12AZmd427EJi29HcRiL0xUwb xMUe8WlsXAY6hWFjCTVq53t3d3wTm/pqBDEB+ulTfpx9+e+6NOjwbt/IHt8D Wt3U3am79MDWWPDouV1D5I++vOvMt6ZQMc4areIGN2Gmo4Ssgwmt/+Y2iiAH kP6QQ+9QeGZ+zb48ixkyYlIQeeGvIT36YbE+qLpwN0adCiODYUK6/hHD3NKR WUiKYu8iNaVA0y6+Y5m6Eqs9OIXSG5T+h2uR6JXjE35m9oY3KelshiQauVcY B+HbPmgRZguFUPTfx7IsCTZzRM2A9Rq51jx7b+8tkw0KYYswQy47qhDc2+6j zBpYz9dVmky2RDmiRQrFxk5gZ3Fqz/U3e5v37ubN9XcO/nu/M36PUDDrYBMz py/FNsEFrMOygGzAGISGlR01/IPY+2ajQAq5YyeKMbC3uZnlsNy3HfNjVtyX f+hXd6PJFnV+Urz8zvPjpxQUkxYT+HfV1vh7vV/0r8EKNLr3PnXhXS2CbW1E Uwoc9/QARpQ48GafCCsKB8vsy112mBam8XJmlEhgJ8rNCYZv5mQIBJjcav3q Ut5yf+hO13g1xHX8lLYOoUn8l8Fztb9Bds79UPBc/D1SQosF8tDjaijd3sFf K8I8pY6d7uNwwP2XMTeRsxOpjASvRbSWI3NZR8KlkhwioMEieJuZm0K6RHmi XI18NCdfAAFOyCP/JrbVz0/dHT910z4lOv4Xoa/kW3ewVV31A/9Tb5yLBdXz nC9Fs1xGeIigbXGyBfR17HMfUKwYiUJuDdIkj2ViUSj7GBT7eseW+JvMwAUi Wwq4GbQCZL2gUOlFaaozC58wImhix84CD7NCpZcW0ttTgMbBf6eF2OilkL23 TAtxg4azhzu15yEROG1bhsE1mEERH06Uh9c6tpAwP6a/JYUEuRFWpNsbinmg AZfIoZ2KfCGwrhFzKXE5SpHnK5fjuBxTZCjIKczEhrz1+oobiXKuBNXEBopY ksfDZV53De+PdTwceyHZKrNBDU86js3Bxqon9Xr3aHIvzlSPKTAoXfVVZzMD 6ElmgG14NyNEKguKkrd6OeaTJeeidYl3xvTi3jQ2Y9yQSCcNko4bJ1sx2Sf6 Cm+C5890jf90po+veUANRZ9BkF/FnSLBT0Y/jWCk3Wz2xvoyFym9hMpoqhBo oc8yG1qISazXwJc83QSFkxSOwKnmuQ38PFnVzPdit3YuWpLpcqJ1dJKb+v9E WJvxW6NPjBVNXeEt2GJUq8X8wU8im1r/jtd99Dsdf4RN2XlooW9wFq0k9IiG 6UNZV8uiWL0ThMhy7OiLeD3qhNUIDuFhRtG6yEK0YwH+k8iIUWmhwTL03uYp elKcfOYzvE7kY0/sRKPHRKe2DtnCReqz/a80nvH8UdXLq/+F2ONO4nHt/GyK RfIehRar1dYM3lvTdCgbNtAIlgFnj9mLuZCiKjnW5TzW/3N+ljFaKzb+MG5i vieViUy+qIqAptqs/0S4Yzuw4L27N98e3T9+SxOVu4vU8/Ef9VpcKxXFucrb efDshXeTrUszFmbxoAVaLTiEkg4g0nvWcax3T6YzBQqYtBEEwPDBKk2Wq9Ha P8BLVe6E5vGB7Akg145k0Fzl9jtio41UfpYWV+x6hcbeHt3y3l2YvSL4j3tP iw0uDxmd5LNpsbzICixCtEZ+Q71gL992mKKF0XA3JuscG2AeVwugPOP9KqOA NvAWAn9+8LGQmMBt4Q42uov3vmfujf7k5jgXoi1BKjHWhZ0T/1Pkj5BBPzgF Z1efZCxR8ArQ+lWMSUQuEX1jWXx0su3WH0OboUSXYFkthN76Y+u17hISesZA tqfnXoB5GCDyIiL+maDB1JWpPaKrwp+0DMSHxd4ckt29Zf6v1lAA0jgUeBhb QIvT0JCuFL8+iyvFiTmUt2PWLhcwonzRVMH66hlNTnB0VVGQ/up/FnzoKXIU nmJV/C+psUn5iQ+2v7/qOa41zK95uf8VcleKMqSgQI1gaqr/8uy4Jw5gS7Pk HzHHg9YZg+MMsefxhOBthpxiY652J5jmKyW02BmT6zD9GXzadHIe+Bg/Re7F n2ty8xC6Dzq2SGvtLdv7VQ+5sh5H4GkufzFmwG8Mb3JsIaEcwOQRuZfs7Ok9 my0mMiZbxNana1u0eY14c6WJ0PcIzoFB0fegOecz3wr2iJXsv4I5E9mQQTy6 z3JEDaHKwDDymNg8h34tUkOog2mkEKn2HTKGT8d+pJcWzGLjT4Y3Jesw0E7W gHSveeHB7AxViJC1oTg4ZBnAOBZeFoxLQN4Fm9V6953cZUi57ln4KtblnQiv ncdXIh5ti09zQw8FryUTnWJjiSOJU9oIhGRR9Bn/GoqYnqt5jku2Qwgn8iQ+ TTugWZN1FYmOGjmwq6F4Pj6sndQIJgchbUDeV8/1eyI8OB/opADvCwzauYUQ WsCf57AQuWTSbwKH8rGD46tEcT9/f0V0tF5/jwLyNbxH7Q58cu8Z82YBf6Ez IRQK6tnl5L584mX7AigI0vZfSbb4tsOBFBt595Ch4Cldm4SEzTKazcCDtuYz 2jw0EJa0myUadTcPjlfL2V51GCURn17KC9YaD75x17uLJb5iFUf9XwYeKPIG mP1qauwiMX9TdAHWCuxCNaezxzLg2kaK4ZNCPaGOFm1jXGFU0G4WniXpztxp EI5fIPqYWfsZAT8tw0sCfsTL5HSOyAkssRf2/tPqcSkOhf6k/zIn/lpM9ZUm JQ+D0jwnkFvOzkEh1FUCrA/kY/uN06dItKMVGLQ3fupjwn+yEbjL7ss7XDiC 2amfkczTOH5SaFAk7ogdZebM9GHd2Ys283rKedy8S2B12efl1dOghRrBbN9o LeK1/PAmNN0IVY5hrTq/B29nCnCWqIn3tDyXSHn0idLEmWnyipKioFONOC8S 2udns31W4f7zNFi5Mc/jftckSh+fD2++GkHCSSaLNvMuc5kmx+bwvIERUVoF M6GDLcsG5+udeWDDCpH3pYPdM7U2NdPb2uGYswW+T+hZfJQRtAjb5M7YCa7h lsURe2/5qhOl3CBMSiAFlyx3zK0+GC5Z5PcZqQKvaKWiICRRajMgcZMOGLGA OdbHiZP00NiYrMPsc9Smh3ejSKSA9EM1CoDpPoBmlBUJChoTl91/iUkvJ4hv GKZfr5k6K+ePIqF82WQjkUkrGSBmAlhk9nTfaGk6fFyMQkHpDSTTEegYVS6g NLdhtPHn8FRReGiykSeaW9D/SlKzGr9ymd5M7eiGmye0FqNQATYD3KnH5lIM m2yWIzyDJcFDXhJADjW5PJSl4gaGsqihh+erKVQY7tOXXUzLFdVR4W87jlUk RFt4fLjiBjkrH8250uy7YaSsPsNOygRPaya5vzT6+tRhNo9woMlUlmbiELzt v0wGQg5F81XTg7OFRIFOc5vnErZkyMmpE4GYaO+JT4d3ayO7cy4+wCTvEYPe kcIdLPNVN52UjD6xC2mqQqmQsGGXqqQSLAAvlyut5Vy5bMpf6KVW6CXs0/i2 I0rgCEuNuOxi30z5ak4mAIzYc16GUhy9frtjJz+e21juNI/+asyu1cnzI7Bb jYlscwq/GFzPOA+YFLubb9oMC4HLZwi0r+49jHkosT448cbeszyTfhu8iV05 l36LJucl+09V3CDTwRvyMtMptt9CYwdH35q6yxIWdSLH0L2GJGwevK6qtLbr PUikZLWt4d1s/hXbMt8qoiaEmBvcLEfsy8VkPOW5WYjncgGSwyJexPYIfTZh T1aOAWJoJzqJDX6qRQp0lY8Z/x/SuULnBP9l5BnldNtp58X21cyteFi6fKFG AeWD+F5OlIH/YUyUIqVx/R52KFNdQWhNmkddhhXzDhR9Q/1Y8lUd1qnD6Gie 6WJYk3Xu46b6drM1g6yLMSgZQSs2t5oOkd6CQR3OKl0YAWBfj1qEhpXaeW54 MHavgRX2XArvViOVgij9anhtKpO6QKJaBCbNvKPJdQ3u42xW/gsDfmX0xuhb 790tEJJB5sHqPpFcN6dgndO/8emOGp75qNiX+6oDndeHMzefdLfxELuN5Z5L zp74NAOOHkAMZUEOkEWwowY9kBwv5t7XYH8RowIVWV+CqdSaKCsz3Oka3Tr6 1oyFVXLvWcsRsze5LtXXMb/3gQHE2D2pEl5EtgatFoXX72HgU7LOcwljxUX1 Izp9zF45e2ftAqnEefYMe0GKrBrHJF1NzC0puOMcc41undokp50WqKHuEsuA bRlpiw+nkRoJhEKM0guvDQ6FN8W6KEj9YFZN4R3HHgJ3ZS2PdaEo23h0Ek5t QzH6BfhMCvcBqCNsrriqciep2WpgZoBugyxHQBEB+8z0WNHohqm1WkTCHvEn zW3Wa3RvercXswkyUbZlnNqoty1zJshZzpb/wMk5qLAw1SMrLjpEki29h6H/ uLp3JNpMzAHZMqLvDDsJrirrj3Nzi8xbYCaUHpNwBQ+H+Xc8xC37p96fOuwH ZWCkOdJ7EIWU1sKJ3Xur92y/2nvYf8oygELErFG4GhKb+ybboOXPGf0vIuUA R8u+vH012ShZOujYh2lOALPiRm7PQ1Y+kfdTD286Ub6G2aeW2OeJyTOpJQih K9qxT+4LzVHeTSc9J2THKWlEzyVyYrPAni+MjaBT/zn+nl31RCmGrosyC9KN OOtrBEkeY0cNkdWKoKRjZ25u8gkQ8XznPgL5E4zCd0nTbJh6OiUBEd8qZL4J hY9motBQHHXq9ifq9K1awP6Qkqz3FSM3x+cKIZZbBID7f44sGo4lsa8Pr03W rRY0JaysoqsyNxuhgsHQr6I6RzSsE7tMnR3dP7p/UgyEZKcXfanEPqnmbD2t jDM2dNjR26HJCrL4NDcJFMyXZrRw7wQLYXo/qfx8HCGmidQH6V2XHYkeiBtS tCQVKwVI/Sq4Sm1V5m+k8QzNwTLe3mLteH0ax7MkSi2ZaCbreHuxlkmkhcjm vkUeAom6nDzinTDZeIpAevO9XCPeuhHnLpSgwF7gab3GfblZ8CTj0LFasQ6W JVsq3sL0GRQELMZE773JhuL21ZjT21Ac6Ix1EZLISxSIvI/7ePSVdCQlxzGS cPDlHHie8yGrf9PxRI2aAXNBEE1wulsrR4fWWOPMsLhRDaEcFacQzJmrIDxN B3rDZPsxaQZ6EJdrIVswH03WCsjCY/iJouy9xRpFnEUEY26yUXywD3/RyoAL C2N9cPwd+zDAejbdnsaZAs1ORlMeGtO+GlM8Hs3EUf2e9ZpjX6J8FSvtrrET o09cXaXjGG1Gf27TdvV7c6ZlMHyJUsRQ7sZ2c4dj7y3saPOMXR3PndnxzEcG RtcgIrnBNuABUt6v+C87ezA7sClKvqsdyhRRtShaLOwukcliBbOKs4Ri6Usr WhNwOpjNc4mgSkebqygh/0cneeMMrRhnb9pJUB3SKychOYbzk+jG9Jkp0qVp N6NCG8LlnWhfTS97/8IoCw4+7z+F6uNAp2Ofy55sgVP4gIiwAqcbimkZbcia xLo8l4JD8CV4i1wMZpWPkw75fF8iE2ky3TgpL7nusQyMDSOPUYxpVb9nZ5RH Js6Mvk6WjXwLgTJv7LIYrExDuUHQkcupQ/qYfcnFTGNZxondAz4jRNTbhb+t htwudJXCui7GGsaHk62axrkRMuKubcS23I6AJVKsGFvBBeO5WVl2JFWa0GrN u9d669wOSZmTirWjZgWjWD5+i6Jv3x2LqEIsSJSjw95yhN71B3MFdnGyLp1t GTHkYyRiorDCYr3WdAgbJagt5Pc9oH5v0OLbXmmCjghvshl8LwZvx98Uwyq4 0RnVPMLU83Z6Dp7FjCqc7YKRZ/5T0Vf0ucs6fl8Ra4u0QLLuoyyrzeNLRjeM Q1Z5CAD5y80dNRzDMYiZOFaa5uFIMffaNBzzxdl5QjZZ9jSEYnlkLYwY9oJp 2Gg5z0NZmedE8DYp5ToxjfE8z0ISvco2rHsuXGkBcPJhQfdTrn/A+RgZ8ono j7PT4U2ifmXqLtmXDeNJLSTPzilHPYNw7WVH+6oMZJVc+pZxRaMPgfk3Gpdp dD+F/DROicN1YHXitiU6fwY60WrnPpA18kiXQIMQFwyX47H1H8hAi5utsVMD 932R1jJxenTDWNGv1ybLB8s6droPyPFbzh6OVzJWkJC9RzH2WTE6G7TH60mi jFnMCYDguW81aghDQs04OzBw2nPCfRAHVGLyGLoLcDQnTo6U55nihDC9Zx0r QygstI5CINmQw6uMOucgyyyGpB8RDsFVkdYyfgjDiWYsasg7gWEzojxbKrZ5 qHaXYK61qInHmXPOixge37EzG64YVI+0hLOn3YxWjAdJ35xHtWzHzoZizH3A eW6uKmePy+6/LLczSVx8S8gb2wbhxP5RbnvCeGKbMXB6Pp4Et5UYgqctUXi5 YXTr1WKtZfZYNEXG/uigpe/+MBNX/2UOm+Qo9eBtywAsXeay6ntESahXVDdi ExgHUS1FV6k4PtbsxSY4XMmOGv9lrH/UiY3234F1GUNxPMw8DA3iJNJo8+OC taY2IbabcGstcgOPtRSzbtOO7DhW3OBibrZKJG4l9PSs+IVQK4bzt9ABkyj9 BqulUKyLu9FGkGTiZ/LwGXgcgV0X7mLuGHlGtpycKvscEF5Em9MR5PQYpBwH M4pi69bxUxjl+N454dFyQpPUKiMItaSJCTJzPHgc0pFch8AwC1LooMOmnmOL fXOsD2fmGBKlF+42rDTZoMWKMPPOsQVjQTt2DlpgQkSZXHZ+RMsCcq0UM077 k6YKkr9HMxFK1nEE3PWoJmLxCTKFB2eeZw1VqI0MWijetlWagreJPVnn4cjd OXjprmwN+2umeZ0es3si/0sqjK9zWYI8laPjmzAI5KgVkXdzKLypfbXzImbS mtvkRA8TjkTD0YooS4PGLVmAPztRW0jWcVwxeicait3HyU06o4bSUW4Sa8jH 9oyICvrQ1Nox8unGT81M80DpRDnyDyAWYlPOWug9c5FseCfrOnZ6JxST51J2 vDGbRR/OwUGAxNtzgmJwntonzxnU1Nb48KAleLvpJIBHXxnfV0S2POE54dve bg5vijZfv0e0e1DLGq8gt4MzrPA/8qPqRH3CHOwLcFSa2cvnMb6fCVBHCvcb FJZt0rgPihYd4wVNFZUmNDLoJ8rhxIk5JcPpjF0vrkE7HZrDs5fUtDswSAxe ObIyLwnlPevjw7PVNP2YV8x8jA/3nyNqHBItpIvIHWyzXLUZUDfZsRMnBSZb Fs1j/vRQGwn4glgXasE6HATa+4RWmnGONY7uv2mf6ZP4xqd91Wav+TXvRFKe o4VzTlDs9Edpq51l1okRm7LifAL/5Zc1Tj2ZbDjSWpbe8IRFqKV+tX0jvFHb MstVOTbhAfvyZxYTZ6/B0RrE23UIvxdMG2DDowDz9Pj8RlGobCTHoJMU0OsT nRqfN1xIrquDBLbe3chj9ArFugRv+6o5TTKnoAVZsKaTmKKlH+2kl91mlpQX XFARRgY6CaOXxCN55UQu72oqnCtCE3O0tndPu9l/CkekOLYwpkWmCvvmSpP7 eEMxNg/As8o8BBHuFyRLUTjLjvMDjGDpzROj+0d/dUee9mjsV3EBXEM1tEhy nd7Kmp5nwwbEcvCafsxPohxaLmu5Dh/QNcIlz+SIc8epXgYK/V8kGDtZR9JZ Fl7L00PyZZcX2I4uOZCJzNcYhOexq8CcxzMEKXw8jPHJ44c0Ptu5ELspSCqg 0ZJczIqMFTL6k02HBssaiu3LRT9hPg7plFsQaUi8oXFBLvkC38Q5cmQ5ujgA NOIslt4YMgNZGOpvdBBBI0If2/UPUixEFm2sCB2yyCN07KS4vs38WkMx81Nl JoRNJ2EM4n2OLd0losu4C4Y9M5/GEMLzx+48x+Vl96lrbk5xA8LrFlElO9N3 8+DoE2MHZ/qgLDt2khdjg72MUyj8mQwGMOK4SsRX7m2VK+TJVo4tC4B24S4c KZyO4LxIujN3DhVdyA+jIAohW+UKf/Lo5GBZfDpZ/utNP7nxzxte2R8w+5Ou bbyZsd63Pdr8RAbVCt2N4rAFrJl0M0ldL0g4cgsuMU9WeMdlYmfh9CJ8eEN8 GjkzMfXMiF7Biot/6l1dscLL4+vs6xuKA2difbTon80EzX9ZFFCgh6fpkIJh 1/ntZg6OHssiOoMW7LDyAOQCUajpuUQEzL1l9LdiNXrPNr2oYEiUAcV8g5Zk XXXGGuZTKIkQnatEmqI84cGKstJs3Zc4Vxp2/VusvzdhDy+5LncXwN+y+icH gFRMz9CteC0FsDUZFOFzw3QY4FXjiFby7M5zVkGUSsjqhUELBh8j3RY8A2Vi TJRSlM3DMmN9uduFWjVhiT832jP6q6lzmhhNL8HYIkSfDEQrb6amahJEIiWC KROBzu4Se4Frm9oKM2SUc/uIZXyrcvMLhvsUzDSP/mp069jbWrmovErvzIB5 DHSCA+3rX3gQmyfC5RQ8mQKClKIVy9EU9VxKlDMQZi8Gq+LMMeU+IuVn9EOT kxQuvD5h1uqezliFxckW3pLYQm69tdLkOIam0fnVl3LfGDoD4Q/x5nmFQUFe FJoaWZPcigfSbZyZHv8Dood96ooW+UImKMEh+3K0BHOPxJuJ0qOTji3kHWXb wcHwcaS9ENQwR3hOYM8sPu3s8Z/KvS5/owlfpXms8Rdbbx68w/OBMrobOMDI E6ResLuBhUOLVH5WUXpjEFQjjs3DKzCpOve6fI2BaJlECvDG5C6t1ZMpHXN7 EUTRfqzPeTGbF4EJSTyIqEUojODPEFug7/o+xkDsBJSPV/Me211t5JlMMP4T vQPkCfCckvR6i2/y96WpjqKFl+WrmjDkd4lT94/v0ErrMpfFf5kPq55b+P9U 047slW0UT1Z8qhDbkiiLeTPnajSJd/MuyobJIa3l2UzW7Fcx57G7BA10eHP/ FWfPfNbkV8uiVytX65uSdW/mXIFdYgVuvg2pmCFz++W0V4vSegu0DbxmvbQ+ 2ZItIJKHkYqQqpF9t76cFOdk+Z3mm5hs+7mZaTl9QRA8VREfvO2q4op4y7yK +LQSQuEROhOJ0vmE5iOP1BDKEJQC+l8+z/wR+U8dlK/Ixd9EAePrE26tzptG hSzlAPk8DtKqn1fBkgLOx6k/uGa+8B3TxBQRjFdf2fDkM/81r+HJVD1aOig7 hMaccIxuGb0xdVjMQMoFCo7M1emOSk36DpqxID4M9Uy+cfMCJekcpJFNX5T2 9u1sNKbHd4xuGDtxp1ZUr+SiA5dFiJdjiIF8uVEmaRT7ZrV12Txi8JkzyZbK Fb5qcRBh+t5iwdRdYomt4y9ppcJA/o6vl2N/OIyJT8/WjeJ8bi1bAebr4gnO Hnl6dFpDCu9ET+3BSR8TO7WIqCdZOFqcM21Vlsm8lPa9KATtSYcjbS2+r3Fi HydBxoczOmO4lkz70oSZvOOPTx0WpQo5wtbBL/LcCwV7HKz70kvgsSGelRIo gSc3y33cVXX9npzB1X8F/fR5oj6lQCuFjr55cKaLKw1yDNY0oDca3iLcNaN+ rgZSkvP54IQQTWeCHFJjGhtsZc3QRZp4y9XtmpxIkaaTTDJww1ktLQitP5hl TXBOuTI3s8GsKYY+w6FMtswvgIZfTsbDek0vZUwr40Leczf5U/spKm/56zSY oK4fwIZ0u9m3CkOJEchaBnDq1d5bOGIrS9WemLBtTU0QSvFMfJir4xZoWpAq nI9RUyPhTWTnRuQB1DwtIB3mv5RmpYY35w9rke1pGhZ6wogxvHibM+HbbsA+ Ag4yZdBN0dpHF8h66cDJigUG+sLdWTZbsNOCjyml0Kge8xnIWF8ixZW+7GKr EZvsT4wdmGlmrayT+BlB//Bus9dVhfYClEYbMfShcoVtWf85kfSb40Dni2od ncK8ocLARr+4ELAZGrJQjQRPe8Y9474Xfdv1qSxp0zRgvSbIelXPDIs9qzRg DYNOd2N4jRriGV5apLvEVRWtnQMkxxaywk4x1Qdvc6JCGxGTNBVrxVvEIfOL ob8vtGd8OvElNZLesVLPWuswc6hbC6W2JrDc7FipLWweeMMOCXMpKnMqyeFE ci02Cu3Ym7ugMoTW3j33cfa/rEkrCn6bnNQiu+6jvkXV3xyX4WXB2LAfvu25 PbZn+XV1pBv33/SRQz/SlPa6LwlR4qxpcawvm8OC0R8p47EvZTyMKJTA1AuK QyK53VdRmNPCqhFVIbt1APQJHGiEshxRii1HsgGQrpuxO6wD4L/MhXC2tBbr BSgupWKmb+wEOa2f08r3ZJIAB4xigjHqg5wJcxv9t6DSlM17xtw2XV/KoX4s LWLgqvheWpCP5FwXj1SV3xlzESPu0lq+Nh+o+831kTuYCICRihm0sDET0Y0+ +CoTlCwLBFAMpLO3jm6dWtucuTqZo3jmgyFCrBFs+6mhTrGiC1FjgSX6IvNI aGLX6Iabrqm74uTMXMRI1mWFArULeIGMaJgUslOPa9pz9/J8QUAxfnl0/5iL jLh/PhRcum0Qr8Jp4bE+a7bAt5wC3zakQgYtLwlQRIW0oohjt+5bm8utU1rk KgnN2Amtjs9FmbMsLzwYOC1BKYj14SQHx75YV+ZAIeZZLh3Ru174fHAFW2v5 PPFpbltEbkFCvF0wc2/8EE7Z0Mo5eTKHPq8u5YpT3jzDznT/Oftm9EgSutk6 hcR2qfSLRTUpUsmG+JtHJ+PT9vXyPJF0yBZgYRRXFqjPkp3ZenUVucStGZAZ wAvtq4UXUBR12gxoDsMQEHMbN2Rk0zwUQafGL8oz5XA8rOH6PcQMji0F2cHL spqiZbWU4qatEw/9XdpS8ogblDs6tvheBDEQnaWqd0w23/asgE3jzHcBGJLJ 9N03BMCpkXdGeY4iiuIGPpZzVdGMVXCn9uYJcuMf0lqUv0ujHeArTKxrOoka Ovtm9/HBMimDpQ3F9Iqse34hz9sphd3DUV+bxqd0G+VUZByg5jUK6lWSm6qk AbjAdPiCO9+VddIh5etpAHJHvRpJlEab49OyIJPCFfRtZatq1ZvO0mXh71hi S/WDrhO8OZEfvJ06BdbgncDQp0Rp2syaLIuMNiLDnVpRyro3BSN7FXny9ATR 982nrVqy6nJsviInoUb8YkXZFxEJ/Jb2janVtYnzkjCATrCBFwcb69PncpwV UDB19ubHRzdM/htFDHvTCMmuD6ZGkZvzgGAyJO8zwbSIW9rN16dZSRckW+A+ YuiUgFI+jjPtmBSDslryX0SQeZkd+DQgs6w295JRVPk6ug+ITu0ZQBYkWxue xIYL/bZI0DS827EPxxBlAvtt0FQupNX09fh0XgaEReJADKwIeooDu+gZK3Mu 8pPijeQ/7kemmnsM0+clFmJEJAUL1qaTry5FnRRFqYW9h3FuLvoHWNd8YC6U 2BAvlGd9VmDaipyEXCAsJ47zEeTjScSR+wwRZgCnDuOIN27426fNlWbse9b6 k6ih4kKNAsy79F/mjgBu8tPP/eLaD1RA0Oo1CbkmEKUNsy2LOnUwxcBmLhnR VeU5bc6s4yyr7BKgTHQSHV+fqRX6S4L5ZfEbisyjTro+r3uNUhDejUoulpw5 M4W4GqjpJCw9z2DgQFxtDd42v8YNjgbx0tSQ7/yOGnbk+UBLUViLnT7xGw5n ngV9ARaoYvAiE0PkJTTesbBNmDtoSp6lZRESPDuMVTqMvNOEkSvY+QblcLI1 fkfLuyZH3b+6NAWyCZPC0WrNXKaE167LyQGflaQ9M/oWwdfMJjV3fIGZ56lo FROysQIoWVgNZYSN48SX5GmlliOzp7DIY5oZROJbLfZmZREux/51bhCfSK3+ 1rGqmWneDc8FIspF9PVDEYkEEdXJVp24z/x+al2NgZ+JdcX0Ttbg5Bt9F18Q sn+Sc3E3SMiGRnuIeE4+pjJXTqt396xvRfJ6nr7j81oQtXguXb9nEGoV1Vqi fihROsuKslk7T+hR3yrzazgw8z5HMqyXEJ7m5e0SrlyOZFeyhYfuEuvE+uCH LFIj7uPgO+FFoOR2sIxVtzgWJHUoR6pl1r45Icb5sxJA345+vsUCIH4mtbxP 0PIOi5KfHESMvpJWB3OIv4epmrNVgQoqSTejyB9jeRtW8jkt5IRxSzOwJK82 9zktf5Za4td5iV+6D/OhYFCXDxl/M3RykBlfHxyaPcMHe7ZyVYtxHAgusgzA PKut/WrDSqj4BY5mcR8QkVNlioAE4kwfx/u5QEyPkUk+YIh4hdRIhwNjBWTR 6qzXaL0278wh3rHBTA7ugzyhhjZlh1GvtK6QavAMLbLrTp/YRMqxyNjA1Mkl ZRiPMCLJxX7hSOC0qKjh4xNlWcAvZ1PU1mtoD5BK3MEPrpu30Azi3lssb9w2 ra+0i1a6875qhkPp9P0K7ryONiOBjjEg3SVyrCdmRMu5/+dnEyRo5iEpEqG3 nVkl7QyxLGbwT+Ys9LDyrRSE80Z7MxExRjyNiFhoPEJP8cuYn7e/WREK70bT /KfEKTBGBFnJlkELptz9RU4h/mMt5ekQ8ZqVwH3WF5OzdRD2it0ENMEWqCHU zkWdep1V91OzvCrHY+eng4pyD1lZxQ/5y5zCzOfGCXfnTtm37wMiqoF1EOVR YzD1RnJ7k2yHt5tfw48FOLUY/7y6VFTPU6yTInvFDV7XfAEWTvlNlG7Jucjr BIzs0ToP32eFURSjv8rdyIcPcYMgWnDRRtWvWq6yc+28KPq59YPhwptmWUAc ZCUalxZc4E+nFvj10Rvkyn7nPyMdx1g60L9XKG9RzG2c4+DF1I+IjJaZ6vkL 7LEmWxpWOi82FD+Xc0UZrDvO0V+RA3uOHLgcYMnsxqwPgK4hTQYYsS7/5VTe X9RL6/5pShEtxhGwwnsNb4KfBhmnd34153rytIc700S2J2bKXtHBy34c3Jw+ LvdxZh10FhXFupCzMVV0OAAye4mZx6fmi9Zcfd4WCMi1AAsvKY/ynJmmUH7r 5BnC45X70C49A4TRMprIkJEsYow1Ga2SShMzG2ol4CZj0gbrnhXMCyJ1tIkf +ELOVS3TRBJ4BzIgFMN33Qcyuf8kEmYi98KQdeyUefd6s6jmIv8F9osEURa7 V3TUXL8HYxM4Pfck5SwrCajyJ8yjW68uUYL3WcgsEHE1EuZ4mip6D8syNm5k IjeYG4fEzqb1ml7lJse+teZcRDFF6TxyoeNLtPJZwJSMY2osmexvM/AZIRwS Xb+Ho3N4KAJz/d5bfBAdVIVRZojJK+lXZWrBfZwE5O9zLiGPBZjaNPr6r96a 6Xo1J1BkC1JZcswB0LRUhwpXZuFQNvbL0YOdKLUtY2PlPs6neyloKDyYExQ+ D2imD6eY33k+dJ+F47MxpezLNhoM8ypEIIxDjMA9TSe5zaYAx+rixEkZ5xZg 0A5mdBAcL+ZcNNEF30UQ3Zg6/L372iE2fAwRTsTWxIm8ht6zwdvhTZ5L/EO0 OT5MkT/AKjLVD34RnSsgMhdAi7quhRmbm8K10psTo1smoAhyQMSbgOLoGn06 AWsdzlcNlsF/5dZ0Bgq7isQ9vFzMd/SPyy6UrCE+feEuCuRyD0+WhzKPHyJN gELnf1x4+R4RvMk+MRPMtQ0JMSWPW8h4KXhmqWKwGXCSgOdSodBk3U9ZrwlD hPQn3mpuS5T+t5wrKHrRIxMPkdi9RBrqvy9MMuJl5hbhCuOsGGGCkYsl+QcQ BnNbeHf3GnEoWgGcyaZDTSf7VVbJC5uW1YI4k98a3XDzDa1UeS0nEPAB+SeT MmvXBGdZU6NUDM4edHIIQuWLIULKd3Mu0WqW9HPEzL+603wkBUL202b6D/OL YUny0bmjyA6nCypf899zEv0PWWyax4rGiu44j94H2UQ5I8Vv8lV3rMYAEVDX tQ262bedpOJITur+Af9aiqEsU2e7F34bp76SdQ1LSIs9QN8vsuxFcwJaXb3j agtKQrWRozlJyG3iOOOKuOmnWkTpXpiK3OvVXcKUky6AYx9xLX/mLJYohF6Y inz+0OTPRnvGV2ktx3JT0YQmG6i8RHmgEy0JwjM5gMBeMQQ6cS9f/Ld4DsoK tftlbDljescyunXsgFbec59F9Cd5C5HNI7J5GCRLdnq/xj4OTmziXvKFKcu/ 3nmeqzXuvp5brxnESZjdJbLOiCdu/35OWvLka61ufBXXGI4oOd4gU/aiistm SJTDRGBq9hEU0quh+2TjeVLAhAMdu2K8Zg6LQbdYdf0sLQan9dLnjCDDQN/l 3qRYIRXM7dGt5Fy0zHkx7zgMlsFvQAk5zLieGche2qcnEMSuPAOUfrgLSDIL 0AJU4F+nVNY1z5/IgKYApxRjwI5rm5JHdE4d0p01POHMFH/fexjFM5xWLAyc xpk9PJr+eO/ZLCcNYYWNiVL/KQwqQI1MegGL2JlqwebY1J43MonVe9b6Y7Tu zeNz+pNzNigbIg9tPkdz4cygxWZAt1T3GmdP4PScwhlR1BEafwnFAeGM9xow jMNzict7fqcXZ5RYGmAOHPuSLeyU7r1lGSBGT6+JEschjEy4f/HE+OeIS2YB sAo/Pz7sqmrakZRjIK4IM0QhzKOVJkCAOgrQ3L5eWYnPgCZRqqTVjtWgVmDe Ow1TZ0d7xopmhk+mYdwiXmhf7j4gK//kzIFOZTZe4n1kX5jDP25HOiExP+TY It0T1AZ01DSsJACX0fsNP+q82fiLDZ0H/hE9Uh078aNSjM8sUqIpgRSI+0DF jahTHvfmP+U/pRCrAEn6xLUWxJer8Flsboq3f1+THWbtq3FKjzwtThQsYrSo wVLx/YJv/Nhk+8c0HB5ggbLyUxjpZF3TDus18o/nrWtf6iXo2MbxD3p6BT3r OPeUSG/A5jv+mvdHvvhDKcx51f8/7y/+/+ieotyXObbcBzf6zBvVyIvRii2w hlxUmmzpPVtp4qTTlwWjsPqSY6rNXn9yodtZYYLLSRvrd/er1mtQhPiMzq7e 2EJ3SyXkP8Vl+vQUCu/pA+9PdeysXNFuxgDAF/6QtAPyquQl4BirtHsxX8dX HXkECix4W78X43n7KG46HOvDV00pJavWtW90bfO9iKZLkWD7OX4TH+GcFfWr vlUodIVCG7Q4jskka6HnBPbGos0owcTRSxpHUfblFAj45RvfRYO7pNri/ivy SJFSjvhIEFEarxj7z52cfSPcpkWoncGxat1rPONqCBPW1AinwsUrG4oxXjI/ 7X2IsHEk9m338Xazb7tnHDrH3CYSAItQawPQbQbkBXHsRNOh/KaTGW8lO4Yt frGlMmhx7pd4FngO4qUYYih+QxWM/s74sGMLH80cqTTBR9PfWSDe6bmEwWJC PSJxqPww453+pE2UP/E7U7QtEIjOeaeOZz5OcWP6aujDFp6heB3ay8WcGTXi GUfPxw8y3texE9OTU+/b97u8r7sEJ3As8L4TIukav+c+4D6eKD81930Pxbqs 13D6I07SUSNYArjpRBhJU7K+mTQlw2m9pqVOhsaj6K17lDlkpfdywZdGvhYq GtLW8sNC/FB9ouSRVJEt46mCuP6R4GnPpaZD3glEpoMWyxF0/0abgX3/FctV xz5gBzlIw39pss59INCZKB0sQyMhhZkVvupYX3yYYRlxN2LMtn74qNriPtC+ WkkDB5MdFpHROGTf7PoHtC2+8KB9ORQLrn+EwpbhwTIRAKqt0eZkHWDF09Go 5z4OanXUoCXatozgQV2xie55M7zJV40O/O41seeB2APxPjSluw90rwH4pnpf tedSRw3G4l64i4mOhoZiTCoQcpQfvI1EPrsQEkweAIJsstkb6CRq5Qsd6FsF Rclph+SrSJQSwZJK6iBRTPsgsND5sVgN+U+ZX7NvDg7B50OPrvsAKRs0hS/C guEtvu3eCQDhP+U+cHLuy1ETvhtjdAuEX4BZA/FpPtLeV83xVp485jw+zF3f PDWpe419eeC02ipnZoGlnRcJfNxXEB/GcgZvd5foyqlhpW+VktewEuqcTfob s0Cw6++ym+rJIaXb8xKlfyN0PXdiG4WG4DNliiUJj0ipMKghVOsmW9K43y58 BedFszfazJEOdlxeeFC5OHvNx1j/Roivxs1ezyU1ckjQAS7poCXtQp6bllwX POM4hlQmn9r5oiZPM7AZMElNG0m7HiJgSr7afwXD7DAibe+t2Lsd/GXdoKXd 7NiHPkjfymTdW3MZtTBRTrC0YRgNml8VeU+gs3IFRnL4tneXxKf/JYNrkKkz 2V54kMjOZTO8J2GFveOxW29nrjO3DqsREIVHy/tPqZHL85gBFwlfltyn7qcI mP1CGfGR4j+dCzfxgdkLCIQymnb2kMqK8A3o8Os/J7zaRGlT9MJdJQPpRWqk +ymX3XPJV910CGdD+FbF+r7BLN3quVRxI3AasxDiwxjvXrki1pV+/0d4ZVri 0/3nes8OfpHL3eBsLkqUB2837SDj3FNpaljZ4YAgp91H/+z/f+8v5ff+L4YU 3jY=\ \>"]] }, Open ]], Cell[TextData[{ ButtonBox["\[FilledLeftTriangle]\[ThickSpace]\[ThickSpace]\[ThickSpace]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPagePrevious"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowPrevSlideText"], ButtonFrame->"None"], "\[ThickSpace]\[ThickSpace]|\[ThickSpace]\[ThickSpace]", ButtonBox["\[ThickSpace]\[ThickSpace]\[ThickSpace]\[FilledRightTriangle]", BaseStyle->"SlidePreviousNextLink", ButtonFunction:>FrontEndExecute[{ FrontEndToken[ FrontEnd`ButtonNotebook[], "ScrollPageNext"]}], ButtonNote->FEPrivate`FrontEndResource[ "FEStrings", "SlideshowNextSlideText"], ButtonFrame->"None"] }], "PreviousNext"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["", "SlideShowNavigationBar", CellTags->"SlideShowHeader"], Cell[CellGroupData[{ Cell["Substrate-Depletion Oscillator", "Section", CellChangeTimes->{{3.41780192702907*^9, 3.417801934114915*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Import", "[", "\"\\"", "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"300", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellOpen->False, CellChangeTimes->{{3.417707560370545*^9, 3.417707589856974*^9}, { 3.417708301550525*^9, 3.41770831678538*^9}, {3.417729456931825*^9, 3.417729457013752*^9}, {3.417731462091422*^9, 3.417731462178471*^9}, { 3.417731504226867*^9, 3.417731504315766*^9}, {3.417761590500195*^9, 3.417761590590663*^9}, {3.417781081732826*^9, 3.41778108180133*^9}, { 3.417782657492786*^9, 3.417782658153671*^9}, {3.417796044167557*^9, 3.417796045530133*^9}, {3.417799344940496*^9, 3.417799345672872*^9}, { 3.417801392453714*^9, 3.417801393731691*^9}, {3.4178276993093*^9, 3.417827699407728*^9}}], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJztmoFt4zAMRWNvcit1hC5we3aEm6ZFe2ksS2L4JVr5tv4DApSJTPLZsmSg /vP+9+19vd1u/74+H1+fVQgxIcuJua7JuOsfi0z4kAkfMuFDJnzIhA+Z8CET PmTCh0z4kAkfMuFDJnzIhA+Z8CETPmTCh0z4kAkfMuFDJnzIZBT+dthN/A2x mxReramOtOOXs39NqPbqEL1J3netwyNNktNXSNz2+tYrTNZ0VhR+ntLkaYev NPGlSD1ObpJ9sRSvsB13kcyJcn0kx+OLUp4Ra9c9ALa5R45C1lo137gmtqfv V8jbmZXU8/3R90le77wm6Tp0ZpPtV20m5cMGmuzueGhfdAgfbPJoImvnVCZP a1/FpH27LCez44O5jsl+We5KZMcDWIp/4mlebxJUncqka6YxmfTd/Wwm7eXp TJrrDzHx9de5T8oELOLI6n2+qh9vxyHMZeJ/6K0msOMQvN3x7ycyAYvYcQjX MRmCTPiQCR9Ua1dnETsOKnKVVVgmYBE7DkEmYBE7DkEmYBE7DkEmYBE7Pg8y 4UMmfGjtAovIBCpixyHIBCxixyHIBCxixyHIBCxix90g/6viNlkBk846dhxR YYjIiPvkcibhebMydhxT41Im8WmzKnYcVOQ0Jv+PqjXsfQMHGFw9vBp7syzm wZhJSwdhs+v7sPrZdCW9nw13B+nANpNs0Hd97CwUcqzY3ErHNppkw5YFFcmW gZ+TASRJUzSb5AeCEzPLAe+g6fgOk6wPfw/FHPfZteyHPMM2gZLcD0BbSHLc /2pJE2Cy6aOphW2O/OQONdke19DCPsUKTNPKiWg0SQ5z97CtkJUG9pPSichM sC6WJ3t8Nceu9AItgcUTUY09OdoembLB2UV6nqEe2SbZNegi+vEYMnnMydgm QgBMIi7EgWAmzCozmoALy3BAE2IVt8l+V6fDa5I9n9ABm9CqTGfy+3BHKzLn Hk+OTPiQCR9Trl0yGYRM+JAJHzLhY8o9nhyZ8CETPqZchWUyCJnwIRM+ZMLH lHs8OTLhY753JH40mF38JubPBKD3Ca8KaEI8vSAT6nseXLt4RcB3iQ5vpwPA 5PBe+gD2k+Ob6QLdTw5upwPkPuG+MvM9d/EjEz5kwodM+JAJHzLhQyZ8yISP 3OS8XNVECCHOxCfoNU72 "], {{0, 0}, {202, 218}}, ColorFunction->(Apply[RGBColor, Part[{{0., 0., 0., 1.}, {1., 1., 1., 1.}}, #]]& ), ColorFunctionScaling->False], Background->None, ImageSize->{300, 300}, PlotRange->{{0, 202}, {0, 218}}]], "Output", CellChangeTimes->{3.417827699885178*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztWM1uEzEQnq53k91NKAGpCQWJVhRok5Q2AlH+jkjAoZX4fYAQKrWHQhVy reAZQNz4ERKvwaVPQt+Cm3E+yyvXni0pELSIRspo9M3nsWdszzhZ6w421re6 g81ed/Zuv7u9sdl7OXvnRV9BYoKI9obfGin9O5W/0cyelApgxAkpd4kmfTUg +iqlOAKOgP8BeKNUhUj1oQXX+BbSg9WYiOgiwy4RVaRMiY4zYxKiFHrdNa5i jIB+UsoOUcwT1yDTQxOXcqe2idekLBNVRyKqBByTMoaVIyYwXoFegwysTHuD VkGPAAfwvmzRawctyfYbASlZs3Z+Ho2mK2M4Kl1gm0uH8J4ivg4OgXc2MnoW vNrVy0SzDDHBOYlB5yhbOBUe/Bxbe8+FtzGbB/cBePDAynRi6Tdd4mvIWy78 CoAH72ARHKwy7PneQSQ3XPgJgPNIzR83zuF+Xv8F4zkpq7gvnHGez8eYjGMp n3rG9SLEVzjjGBNeoCgLZ3wgZQW3kjM+xGXtMrAqrE9d+BGKAgerEtRz4cco WBysytszJoaQga9CRjBOmcokTGtcYegKCCEbQDJ6wNSdFUgB7w2rgs9ZbpoW XnEdXLCMk6ZhKXnJwwVkC5JzI9AIlT5k0vCzZF4Vmdc2kIQZHZmGvQy9io1q YwNihq6fNQIduGxarU6D8r5gmro1qAQ4BSXFA6oMPTKvm5bJ1/5BLRDtsFJ0 ZD2BfgzEuaOb5kGn448xcWwdgHkc1JzVxtbuLlqB6jU3D8pOYh2ARZNSYaJQ 3xAOQuNyv4PQvBr1uW0bit6TwDizBp22zote0m3g9xmizndGf+dSpgF8ZmAV xqffg08haRyskvbRhRvYnQ8uXEfR4WBVqN6PCE/pTdDbEVk74zFz8jGWdpSf +38S/ju/OYsTb9FzmXMr6ygzASR3rQJTaT3jDKR3Zc4C8OAzmN5zMo2iwN3+ iMmDbstfmGUKHtarz+qdt6qG6ZBc9DkZK8rfLYUAdn01939SCJr4AbMdSM8= \ \>"]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"SubstrateDepletionReact", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "X"}], ",", " ", RowBox[{ RowBox[{"k", "[", "1", "]"}], "*", "S"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"X", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{ RowBox[{"kp", "[", "0", "]"}], "+", RowBox[{ RowBox[{"k", "[", "0", "]"}], "*", RowBox[{"eP", "[", "t", "]"}]}]}]}], "}"}], ",", "\[IndentingNewLine]", "\t\t\t\t\t ", RowBox[{"{", RowBox[{ RowBox[{"\[EmptySet]", "\[ShortRightArrow]", "R"}], ",", RowBox[{ RowBox[{"(", " ", RowBox[{ RowBox[{"kp", "[", "0", "]"}], "+", RowBox[{ RowBox[{"k", "[", "0", "]"}], "*", RowBox[{"eP", "[", "t", "]"}]}]}], ")"}], "*", RowBox[{"X", "[", "t", "]"}]}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"R", "\[ShortRightArrow]", "\[EmptySet]"}], ",", " ", RowBox[{"k", "[", "2", "]"}]}], "}"}], ",", "\[IndentingNewLine]", "\t ", RowBox[{"{", RowBox[{ RowBox[{"e", "\[DoubleLongRightArrow]", "eP"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"J", "[", "3", "]"}], ",", RowBox[{ RowBox[{"k", "[", "3", "]"}], "*", RowBox[{"R", "[", "t", "]"}]}]}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"eP", "\[DoubleLongRightArrow]", "e"}], ",", " ", RowBox[{"MM", "[", RowBox[{ RowBox[{"J", "[", "4", "]"}], ",", RowBox[{"k", "[", "4", "]"}]}], "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ODESys", "=", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SubstrateDepletionReact", "//", "interpret"}], "//", "First"}], " ", ")"}], "\\\[IndentingNewLine]"}], "\t\t", "/.", RowBox[{"{", RowBox[{ RowBox[{"e", "[", "t", "]"}], "\[Rule]", " ", RowBox[{"eT", "-", RowBox[{"eP", "[", "t", "]"}]}]}], "}"}]}]}], ";", " ", RowBox[{ RowBox[{"ODESys", "//", "ColumnForm"}], "//", "TraditionalForm"}]}]}], "Input", CellChangeTimes->{{3.417707878456383*^9, 3.417707881561127*^9}, { 3.417707947248625*^9, 3.417708043754384*^9}, {3.417708076035349*^9, 3.417708077588026*^9}, 3.417730813770281*^9, {3.417731661942531*^9, 3.417731669115235*^9}, {3.417731702811681*^9, 3.417731816324857*^9}, { 3.41776203408499*^9, 3.41776203629243*^9}, {3.417762070636538*^9, 3.417762079567813*^9}, {3.417762133507612*^9, 3.417762139267024*^9}, { 3.41776224055542*^9, 3.417762323642906*^9}, {3.417762407363379*^9, 3.417762414785096*^9}, {3.417762576822515*^9, 3.41776258463234*^9}, { 3.41776264157549*^9, 3.417762643329834*^9}, {3.417762701044019*^9, 3.417762718247538*^9}, {3.417762774878155*^9, 3.417762775921088*^9}, { 3.417762808804112*^9, 3.417762815318438*^9}, {3.417762894178477*^9, 3.417762999866468*^9}, {3.417763182130553*^9, 3.417763182204953*^9}, { 3.417763406968726*^9, 3.417763408127091*^9}, {3.417763512439434*^9, 3.4177635278644*^9}, {3.41776382141425*^9, 3.417763825093554*^9}, { 3.417763987212276*^9, 3.417764015032127*^9}, {3.417764645162184*^9, 3.417764645970064*^9}, {3.417781107175815*^9, 3.41778110858282*^9}, { 3.417781151322069*^9, 3.417781153699481*^9}, {3.417781193275481*^9, 3.417781206959887*^9}, {3.417781387146774*^9, 3.417781388832822*^9}, { 3.41778196516312*^9, 3.417781975268545*^9}, {3.417782676945988*^9, 3.417782692299988*^9}, {3.417782729840072*^9, 3.417782769988143*^9}, { 3.417782811317876*^9, 3.417782865163831*^9}, {3.417796123678781*^9, 3.417796172266632*^9}, {3.417796213710446*^9, 3.417796216415044*^9}, { 3.4177962555351*^9, 3.417796504181868*^9}, {3.417796536652543*^9, 3.417796544780864*^9}, {3.417796596353546*^9, 3.417796654875439*^9}, { 3.41779738132471*^9, 3.417797381710067*^9}, {3.417799163650943*^9, 3.417799167152655*^9}, {3.417825790705244*^9, 3.417825809252481*^9}, { 3.417825864642665*^9, 3.417826130468104*^9}, {3.417826291257907*^9, 3.417826291918863*^9}, {3.417826339511215*^9, 3.417826348439999*^9}, { 3.417827823219033*^9, 3.417827889358757*^9}, {3.417827965253083*^9, 3.417827990598968*^9}, {3.417828031202668*^9, 3.417828033035868*^9}, { 3.417828349134507*^9, 3.417828349549522*^9}}], Cell[BoxData[ FormBox[ InterpretationBox[GridBox[{ { RowBox[{ RowBox[{ SuperscriptBox["e", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"eP", "(", "t", ")"}], " ", RowBox[{"k", "(", "4", ")"}]}], RowBox[{ RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "4", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}]}], ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "3", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["eP", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}]}], ")"}], " ", RowBox[{"k", "(", "3", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}], RowBox[{"eT", "-", RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "3", ")"}]}]], "-", FractionBox[ RowBox[{ RowBox[{"eP", "(", "t", ")"}], " ", RowBox[{"k", "(", "4", ")"}]}], RowBox[{ RowBox[{"eP", "(", "t", ")"}], "+", RowBox[{"J", "(", "4", ")"}]}]]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["R", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"eP", "(", "t", ")"}], " ", RowBox[{"k", "(", "0", ")"}]}], "+", RowBox[{"kp", "(", "0", ")"}]}], ")"}], " ", RowBox[{"X", "(", "t", ")"}]}], "-", RowBox[{ RowBox[{"k", "(", "2", ")"}], " ", RowBox[{"R", "(", "t", ")"}]}]}]}]}, { RowBox[{ RowBox[{ SuperscriptBox["X", "\[Prime]", MultilineFunction->None], "(", "t", ")"}], "\[LongEqual]", RowBox[{ RowBox[{"S", " ", RowBox[{"k", "(", "1", ")"}]}], "-", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"eP", "(", "t", ")"}], " ", RowBox[{"k", "(", "0", ")"}]}], "+", RowBox[{"kp", "(", "0", ")"}]}], ")"}], " ", RowBox[{"X", "(", "t", ")"}]}]}]}]} }, BaselinePosition->{Baseline, {1, 1}}, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}], ColumnForm[{ Derivative[ 1][$CellContext`e][$CellContext`t] == $CellContext`eP[$CellContext`t] \ ($CellContext`eP[$CellContext`t] + $CellContext`J[4])^(-1) $CellContext`k[ 4] - ($CellContext`eT - $CellContext`eP[$CellContext`t]) \ ($CellContext`eT - $CellContext`eP[$CellContext`t] + $CellContext`J[ 3])^(-1) $CellContext`k[3] $CellContext`R[$CellContext`t], Derivative[ 1][$CellContext`eP][$CellContext`t] == -$CellContext`eP[$CellContext`t] \ ($CellContext`eP[$CellContext`t] + $CellContext`J[4])^(-1) $CellContext`k[ 4] + ($CellContext`eT - $CellContext`eP[$CellContext`t]) \ ($CellContext`eT - $CellContext`eP[$CellContext`t] + $CellContext`J[ 3])^(-1) $CellContext`k[3] $CellContext`R[$CellContext`t], Derivative[ 1][$CellContext`R][$CellContext`t] == -$CellContext`k[ 2] $CellContext`R[$CellContext`t] + ($CellContext`eP[$CellContext`t] \ $CellContext`k[0] + $CellContext`kp[0]) $CellContext`X[$CellContext`t], Derivative[ 1][$CellContext`X][$CellContext`t] == $CellContext`S $CellContext`k[ 1] - ($CellContext`eP[$CellContext`t] $CellContext`k[ 0] + $CellContext`kp[0]) $CellContext`X[$CellContext`t]}], Editable->False], TraditionalForm]], "Output", CellChangeTimes->{3.417828033898986*^9, 3.417828350938498*^9}] }, Open ]], Cell[CellGroupData[{ Cell["Solution Behavior", "Subsubsection", CellChangeTimes->{{3.417839415637098*^9, 3.417839417974509*^9}}], Cell["This again leads to oscillations for some range of signal S:", "Text", CellChangeTimes->{{3.417839422914262*^9, 3.417839474893666*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"ParamVarRules", "=", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"k", "[", "0", "]"}], "\[Rule]", " ", "0.4"}], ",", " ", RowBox[{ RowBox[{"kp", "[", "0", "]"}], "\[Rule]", " ", "0.01"}], ",", " ", RowBox[{ RowBox[{"k", "[", "1", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "2", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"kp", "[", "2", "]"}], "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"k", "[", "3", "]"}], "\[Rule]", " ", RowBox[{"1", "*", "1"}]}], ",", " ", RowBox[{ RowBox[{"k", "[", "4", "]"}], "\[Rule]", " ", RowBox[{"0.3", "*", "1"}]}], ",", " ", RowBox[{"eT", "\[Rule]", " ", "1"}], ",", " ", RowBox[{ RowBox[{"J", "[", "_", "]"}], "\[Rule]", " ", "0.05"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\n", RowBox[{ RowBox[{"PlotSubDepOscill", "[", RowBox[{"SRule_", ",", "tEnd_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"SubDepTimeCourse", "=", RowBox[{ RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"Join", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SubstrateDepletionReact", "//", "interpret"}], "//", "First"}], ")"}], "/.", "ParamVarRules"}], "/.", "SRule"}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"e", "[", "0", "]"}], "\[Equal]", "1"}], ",", " ", RowBox[{ RowBox[{"eP", "[", "0", "]"}], "\[Equal]", "0"}], ",", " ", RowBox[{ RowBox[{"R", "[", "0", "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{"X", "[", "0", "]"}], "\[Equal]", "0.5"}]}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"e", "[", "t", "]"}], ",", RowBox[{"eP", "[", "t", "]"}], ",", " ", RowBox[{"R", "[", "t", "]"}], ",", " ", RowBox[{"X", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", RowBox[{"MaxSteps", "\[Rule]", " ", RowBox[{"10", "^", "5"}]}]}], "]"}], "//", "Flatten"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"MapThread", "[", RowBox[{ RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"#", "/.", " ", "SubDepTimeCourse"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tEnd"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", "All"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", "#3"}], ",", RowBox[{"Filling", "\[Rule]", " ", "#2"}], ",", RowBox[{"FillingStyle", "\[Rule]", " ", "Automatic"}], ",", "\[IndentingNewLine]", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"700", ",", "400"}], "}"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", " ", "Bold", ",", " ", "Large", ",", " ", "Brown"}], "]"}], ")"}]}]}], "]"}], "&"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"eP", "[", "t", "]"}], ",", RowBox[{"R", "[", "t", "]"}], ",", " ", RowBox[{"X", "[", "t", "]"}]}], "}"}], ",", " ", RowBox[{"{", " ", RowBox[{"None", ",", " ", "Axis", ",", " ", "None"}], "}"}], ",", " ", RowBox[{"{", " ", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}], " ", ",", " ", RowBox[{"{", RowBox[{"Thick", ",", "Green"}], "}"}], ",", RowBox[{"{", RowBox[{"Thick", ",", "Blue"}], "}"}]}], " ", "}"}]}], "}"}]}], "]"}], "]"}]}]}], "\[IndentingNewLine]", "]"}]}]}], "Input", CellOpen->False, CellChangeTimes->{{3.417826416666401*^9, 3.417826621569513*^9}, { 3.417826762991371*^9, 3.417826800330319*^9}, {3.417826849837419*^9, 3.417826852742733*^9}, {3.417827011728998*^9, 3.417827011976705*^9}, { 3.41782704760384*^9, 3.417827139391508*^9}, {3.417827256566443*^9, 3.41782729992985*^9}, {3.417827335093282*^9, 3.417827359029579*^9}, { 3.417827410672656*^9, 3.41782742164655*^9}, {3.417827586453656*^9, 3.417827590102948*^9}, {3.417828075619409*^9, 3.417828162484432*^9}, { 3.4178282058398*^9, 3.417828208381521*^9}, {3.417828274316541*^9, 3.417828295761142*^9}, {3.41782835898357*^9, 3.417828361843051*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotSubDepOscill", "[", RowBox[{ RowBox[{"S", "\[Rule]", " ", "0.1"}], ",", "250"}], "]"}]], "Input", CellChangeTimes->{{3.417827204654479*^9, 3.417827247230474*^9}, { 3.417828247882063*^9, 3.417828259010274*^9}, {3.417828370149326*^9, 3.417828393545408*^9}}], Cell[BoxData[ GraphicsBox[{{{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwd1Xk4Ft0bB3CJiKKEJNlTaLXv5xapbBGV3ePZF7uSpRQVUULxTBJZShLx RlIkRUhvRCUJSVl6pUUikn5nfn/N9bmumfuc85177lGhBu1hCAoICGQtEBAg r2MTc/Y2zFcWTq6/2l8ZO5uHXo3Utc6rQIRDbtS6zlGLCPFx5qq8BtSiV+Z3 UksYGVqvqUwNeYbuuDjMFh2XRtF1hQJCeS/QixKVcOptJdTTY3ENJXajKaVm Qqx6LTKZ7nKIDulD40IRCZ152ugPcdxhJvcDuk2vNpI9p4s2FLYrr5QZRpQL G/8TdDJAXpWrJ/USRxHfzG/twIQRqn1ecTE4ZBw99uHlNA+ZozqhiR8/cn+g rMvHO8zsrVCX+IU+wbeTSDzqzxuOjTX6ImXRvFxmCr1rHtpSbbAdKaokXdyc +AuZKfUvd56zQQbrt5ywaJhBjIiFyR2dO5Dj5q4Ahz+zKODmL/67vJ3oiLmq JS/kD/IQLBUu17ZF6dYtWlE35pHgkyVB1BFbVGIXKJ049Bd5btt4LjbbDn3Z 0Bf2YsMCcGiek+LP2iNFU80d33MXwoEb9aOhsbtRscVczS9zIfi9wJsqs9QJ GWxr3yLwVgj0zW6EDe13Qo67DspLyiyCVpNvD1w+OaGY/Q/HNySKgoHHheNC 886oL8w9nR2yFII1/j7smHdBjl2N377mrgD/a1vsjUr3o6PvvN0lplZArtfp O1Jj+1H56NTDDXbSwK269LNlvRta/nv9ec5PaQh10wrrKnBDL5WS9T/skoXb pqr8JxfckQdnb1TXhBxcWuasLHDME7Hmhhbet1YEDW0Ry2l7XwRpx8W3H1CH ctVTxtwYGlr+Y195Gm0TFFzIfHJiiIssaiKcjyzTgwhl5ZivxiEoN6yutNfN GJLLs9d3HTmI+nf1df62sYD+cbcvxrmRiGEXNU5tt4REXhMdWccgy3vTQu2B 1lC0UDsw5HAsEq9+L7D6vQ2cR5lzJvePI+3vOwLNTu0C8YqK2iLTeGRyV77e XNAehP1a9NqJU6hsl+/apiBHaMwWnPj3vyR0X2zZ/PJEJ9BctFy92j8ZyVcX vi1vcIbwvPSh5uoUpHr8d8g9OReQevJqB21ZGvLRWXwugeUK9UfFFCo2nUPL NR2uNF7eC+vvK9Xd0TiPgsx3B/lP7IM/Luo79smnI+vMhA0nNrnBzeNV+yMG 05FWmK9Bv64bvEy6qpEzlI6WORiCkbEbiE9U9j0cTUe9AiMun63c4Pb+cMGF X9PRAbZNtKu7G2g9dJD3/52OrhgKt6qfcANhW7n1b1ZkIKGuONbjN26wcajk m4JVBmqUislfdNIdGs5tFNmWlYFMnx++tyPJHU5W+HS/yM5At5KjO0+luMNS 16BLtNwMdFk0UlD8ojto3xr7c/hqBoqaD6NKlrnDW51IbaIsA239j6Mq98Yd 7jRrenAaMlDOw735mhs94BY/7Wz8pwx0KHhjvv0rDzjxbi67ejMfLRH5Ganb 4wEeRZ8kCrfyUW52rbP8Ow/IjCh/mqbLR62tdgtGRz2AJ1SgRTfkI4W1XMrx OQ8I8FU9PWnBR4/eFCreU/OEfROvnBsdcD0r5ax1oZ5Qc1xATp2L670ZCZU4 5AlHr8vL9vL4SD+4zPZntCfAeeHQcwF85JNtMfvopCc02F/dPhvMR/9Me7n7 ZHrC9snvQVWH+GhfSebKjHpPWDPzOej9CT7Kk1mRLijpBX8r3OVEcvio5Mp9 WRdpL1hTHNlfcpmPqnXZmQWrvODmWcOXTnl81OZ8P8da3Qu8n2XtOX+Fj+aS Wdfjjb1gV4v/HcEbuP6i2joxOvZXhtCZO3j/0/RPUne9gL1xqm93Ox/JxUv6 0+q84JO3E//+cz5Sk7n3paLBC9ZFyOZqdvKRia7kpGubFxyKY5fMveQjVtDd ef4HL8i/eKv5bA/OZ2Sp9GoJb/i9I0OIPsRHh7qrLNRo3nCwBZ3tmcH5gFbs KrY3LChu7/87i/Muym6QDPCGcX2jbrU5nHfkiZ1z4d7w9L8DT1jzfFS/as+e V0ne4LCipf6dIIHEPMcZCbe84e75uP5UcQLl9Kkljy3wgaEl/Y/nVxOoeTvR /n6RD5xbGrPqtwKBvpWKSXWL+0DgdIb+1BoCWcV85zfK+MDPAwVPR5UINKr4 IDdb0weWKMecfqBGoK0Uj8rdzj6QesTIVE+bQI2DqW8rcn1g5SCVZmlMoJhN 2hvSrvrANOvUSWkTAhlFPT4cWOwDb2X2ZQ1jlyyfXaNZ6QPq2uVXE8wIlA40 Sk6zD0wIP919HxGInqM/dOqLD+xpm/l3ejuBhDx6vnib+UKZ1dOF5c4Eqrt6 AJla+sLV1dMBtD0EivgukSpn4wuuQrWfZFwI9PmU1dYXu33Bv/jeqghXAr28 UxK2k+YLqGbTwa37CXRF5ugvnSRfSDuydCTCi0DWHWqCot2+YGLwco0fk0AH ZfL+OPb5goKYjqMwi0CF7oozGYO+sCtl8akibJFBuW9q476QWn5J4TObQIyZ RV+VFlBgEz19lMUj0HqxuV5TWQo89xYT0Q0mUKn2cHUYUGDc+a+oUiSBmp5d MVhpRQFv5fmkQuz+IFrlve0U2Kqta7wxikASlQNlC+woIPAgStEomkDBZm8L U/ZSQLLpmJb1EQLpODxPv8GlAO1ft40GsQSqDrwX/CGdAuKfvj85dYpAvke8 29wJCvB+ezO+YS86I7DheSYFNJ+Z0fcnEmjvdZuR2hwKbH4LKWpJBJr40OnN L6LA0e6hm5WnCbTBfcx2Vy0FFiy/X33vLIFyrRTWln2gQHOqkZxnOoF27HkQ t3aYAitFHiWXY3+hUAeyRikgdEQ5RjiDQOYxRVmnxilACZntKMXuqdaTok5T YPjBAbdffAJJb3L4Ky3uBzulZMIOZhIoUS7mTZSOH9S+/HRAOodA/gXnlmjo +wHdv5ROwXbcdA11GPrBF5mk5zewpa2fX11n7gfKrFgly8u4v4NUQ1/u8IP9 R8TLGLkEutXUJLbJ2w/qXa4bE/kE6j0gafY+wQ9Gs3o18gpx//xVCzqT5Ad2 NdcW9WPnJRnlGyb7wcMnhZHy1wjEzPUTPXvOD06zu1afw/7+tOKlSbYfmOas oB0uwnmquQWk3/KD2cDHyebFBNrSkZuzo88PTknNdYSXEujtsxa34Xd+8KTA I6wQO771m9TJQT/Y/nam7hV2bwMkPBrxg4Oxcvt1bxLoVNVAkPmEHzCSijP/ wx7IUrbUFaHC/On6/l3lBEpl5n5Q3EqFa206Yu23CGRKa8m+r0sF1eIrk5PY w77f9nsZUCHbZXemfAWBzNzh30xTKhzdrrSCgT1qN1ApbUMF25Wer6awYaty vJgnFR73tc8svY2//9+X10+doMLVWouWpXcIpMUoecRKoMKb04ltmtj0tmqv N4lU+FhdXbAduzu3I7X2LBUMWgRqD2PXb184E3eBCjV/3pWMYqekMJ9IllCh +4XCqzvVBNqktpGr+YIKcRq79+vfIxD7jLFQ1isqeFy51WaHnf9ze86Sbiq4 nlFUpGLLtvh0fu2lwl9ZGZuz2PP+qSZVw/g8RwoefsR+VvVDzGqWCpEPI3KT anC/2N674aVCA+3Bvbdqagn0frPR6oXqNMjTUVzXjr1PpirpugYNtrpXHhzE thz4hzOlTQPF4x55ovfxeuHX16Ua0CCpQcDEBbs+70JBgx0NGh/uLHmPrZ8g u4LrSAOWxJu+Cexi//S4Zc40kMmKGF9YR6AMw1Q/7300WNz+89pabO6zBKVp Cl6/aCqNhS09E56lFU4DLy3D4CHsxP5JsY4IGvzR086bxJ5vCI06FE2DV05/ KhY+INCns4Hujcdo8NpD7pgKdp06c6XPaRqMSehUe2KznfaeT8ulQXipQXcr 9v1ruqd/tdKg9+lem4x6Aj2ayegJeUaDQsPXTrnYTXa/NMfaaXC/46zNDey2 r7UtfS9pYBBlMFmP3W9os6ihnwYS88e8xrAFWtxikydosPHds1izh3j+ytc8 X/STBlGJVs422KL+a5SPTdPgisgOCSfs5csG60LnaPCVnexMw1Z1483tX0SH wRmBBYnY1qNHDqnK06FsT97qDuydJgNNWQp0uLn+bucbbPsz22RllOiAf3mR g9h7t4jcFlGnw1TYsowf2MyI1InPG+nw0m5ATOYRgRJECwLuWNJhr3u86F7s 1vUtNHsOHeoXdUm3YvM/m5vc5dHhZOvttufYtPKKZRqBeP3Lk9GvsecML9// G0oH5WXD5R+xN+8IX1lxmA7Ti6bi57HTGepPV6XSwcPo3tTmBgL55B/TGami w+V9zOgkbC3mlKjrXToYlaa1pmBPa/q/q6+hg1BusWQGduo/+89crKcD+j4W fRm7oX7TsEMrHSppF/srsNe/682s7KPD8PmVvT3Y31cbL4gTYkDzhWkd1UYC /fJULlUTYYBcSUqtBrbAJRH3x4sZ4KRfb6aNvUyhq1xUkgGbQreq6GFvUQij pKxiwAkp68PbsYMVSh9c2sSAuZdXk5jYEV7pPIutDPjwdFk8F/vYpeiVA7oM OO65OTIQO1XBNkjNmAHZS9tswrHLFUYUi60YoG0SG3sS+6uCSswdNwasfqd1 Ih97yktUy92TAdIj04KF2POXvr6a9WaACDU66jq2xJq6jRY0Bihd63Upx960 xrOvMYABUlqJ/9zHDlyTYdYZx4CzEynqr7HH1yz+/bmEAfMfI3cJPybQidaX 8X5lDDC5XvZUBFv+UK5U1z8M2H5gdqcY9s7nhloPqvD9DhN6kthX4pjuafUM CPPweyGH7TnScEf/JQM2an/dqo09cT7FqriLAYUf0zkbsU+BZ7viGwY89uu9 tBm7KnNiWKQfn7crbEoXW8peRbZnhAFLJ+6Fm2E/KY85EPObAT92eVXYY1O8 bQV+/GHAqibz647YU4tlz7AEmOBSYpvlhK1OKy1wEmbCsNx/Ya7Yx2R6O1Ul mWC74ve0J7ZhlPHWZlUmzD2jOXOxr1pNjkvaMuEWdVvkCewI/62779oz4cTQ RZV4bNuMwHLqbiYIRPOaErC/DI+G3nZlQlsBX/g0tkFS37SHLxM8D5/1SMNu ed60oPAAEy5Ix9KzsS/OLKTtPsQED2vL1znY/qqWjb8imRCi8s4mF3v5gZp4 u6NMeBzRplCA7bGyXPx7IhN+lelfKcL+7J0pY3aZCf4DUxoV2HXxXeFDeUyo 8S3jVmKnlq3oPnuFCV8Hym7cxtZfcPbi++tM0IwpWFuNHXMlTimhkgkjhpKz tdiSYzzNzidMEFviqNmErRNhYc6eZEKa7asHXdjnl1JiPk4xoatoc+Fr7Mn8 2AeUGSY0/qhK6ibf17NGS/d5Jgz1eDn2YJuq2dnYirJgz/3I+j5s67b9uzco sOCIHd/lI5kvLTK1SJEFbYVlikPYi2YudqirsIBYsHmUdItav8saDRYkRHuF j2A7RNLdJLawwM/1ydH/sPeph/h9s2IB0yBv1zfsO3fP5fvbsED6KMyRlttd +WF0JwsGNoWWfsfuiZxmvHdgga52pvgPbN/2I9zO/Syw59rf+YnNjkoKq+Sx oDBnvm0WO/p5wcmI8ywo1lGTFmrC/fy622E0gwWiPd+zSLf1L5V1u8CCedmb qsLYquOHCg2zWdD8cHrDIuyWxfbNU4UsMBkT0xfFlraaFD14jwWs5YtllmBb 2Gp2fKxlgaPezTOkWc4+ma4PWCBVSl24FPueb4umXiMLti0T/EKacviS7Y9n LKgq3VstiV1y2/pMyHsWlLWsV1uB3VUb6fr+AwtovPozpP823FRwHmaBoXri T9J7OuVKt4yxYMypslEa+9eXz8++TuLnXQLcZbGt12dIBoqyYdvPHO9V2H0X h85xN7Ohr+XiW0XsbYpntkjqsGF6T4WeEnZhnk5bhR4bfgcuSSYdXHR08R9j NqyWO2WqjC1UtepYijUbpBzfpqhga3c4BFS6s2E41WKlOnaq66SYuxcbVkUs Y5CefH2x6I8PGxwD9W6Rrusf+WBDZ0Po0gjbteT+P8d6vAlkQ2KddJgGdqRI 1Y7542ygaL+5uh67P8lrKD+eDU9KQz6R3iax8PiORDYs3Be6QRN7iYxTXepZ NuRn/1NOOlf1Pz21TDYc+MfxlhZ2s7mi6s6bbGjVMsragC1zIH4urRvnoS4s sQVblL48avFbNlx3/GxOes7l0vSxPjY0CYUFkP6oe2siaJAN7UrUp6Qrf/SN OnxmgzitN24ruf8w/VeLBTgQWDo2oINtQ6vfEyvIAbUJDXFdbBMXu+e/hDjg +X2pPmkVXb+nI4s5sFB7MIH0t4kzDx+v4IBKX7WmHnZK6MfS2HUcePP0iY8+ dhw1SHtGkwNVKxVOkA7fM1sUvIEDH+w1rpP20Vl2xXcrB97FMCZIb5owvWhu yoFF1fmxBtj/hpyPn3HkwALepnOG2ItDtvmGhHOA93dDjDG2UZ/FrTWRHIgy Vc8mzd5lKtwazYG4qhc1pJtU9G6oxnKg/JXPL9JxnWunX5zmwFypeaAJmZfu 4hSDPA6Mh/Q5mJL9kCs8OFjAgQd2D9ikPZYI6qcUcsBbhnWcdPXH2Z6RGxzQ +yheTfpgxmeNzCoOPGY8UjTD/jLVXvf7KQfuLt49SHoN7d/lRW0ceK757wxp +/YWumsHB5acXLHcHLv42kOx0i4O1P0RRKRZbhX7fN5zICEg7ALpgbv8L/VT HOieWLrNArvzsLdivAoXOD+bwhB2q0fAr7XqXOCJGZ8k/dDoSOdjDS58NUjg ky6fvBQvvIELH1rvVpM+69/75YQBF3Yln/xN2s7L88FxOy7k06SigexPE16m miMXUpb6J5E2kYsOa3DiwtoPeZmktV5eXLdwHxdyYgvukBa170mJo3BhLFt0 gnSjqTsl9iAXbIeKKZbYtas4JioRXFgdNhFAumI6QvphFBc6x1dHk86vuNAi cIwLVvKyGaSPaXdvOZbEBS+/f5pJm63ev+DoZS7UGb9ctw379qxr/uEnXBjO 3t1F+lGKuSy1jQtGaQ6fSLepayTteMGFqFNzv0mPOk6HSPVxocMzUNkKW6Eg 07LoGxeytRoZpDWN4m4n/+RCyXZaOGmDZ1zNsFl8/2hNPGmnadPlFkI8kKjO KSR9wq5/4MVKHqhLOnwgnTbQ5HpXgQeVf3u+k845WNaSo8KDGvcNAtZkv1w+ Vs7R5sFbE0UF0p9/qB77a8EDXRs/Z9Iul1hK2kwe9Ce73CLdpalrEcXjQaxj Qh1pjzvzXk+CeSCic6KVNLUz4yIrmgffffrekw4WbZS5ksqDe2aaEtvJeZWR ovcjgwdfBB7JkT6k5umyLYsHIYPaaqRjLCZSB67yIHM23JB08gHlJWtqeDDO W+RDOj3lzq6ax7j+XY9g0peKHRPcn/NAhr4yjnTxwGFB/hAPXobUFpButn/z S2KZP8T+kHtHWkxesOrXKn8Qc7owRtp+RCtsUM0frn7KnybdGXt4/LahP5yc PyhhQ87HKqVBL19/kO3uNiRNdw7x2hLmD3ybN7ak/xt71LUwwR+C1wl5kw6O l3Z+fdEfzrSnBZKeUmY+Lb7pD792rTtK+sEulxj5R/5wdqwjmfSpUNia9Mof dGZXZZF2ztr4cWbUH/R36lwjLd8oT3Dm/GH8msMt0iUyP+d2qgVAw5BbE2nE aqeutw2APTad3aTjDz9U2nsAmx76mXRbWkVvbE4AVCwX+kNa9trVzJstAdBe dk1sBznfaol9bycC4HFXsCzppxGLn6VaBkJixnMt0kb60VY2qYGwzv6nKell kQps/lAgaHBqbEmP1t4/M2wSBOtN/+wl/d5e2DLMPAgud1juI93Ta//zLwoC eauT//f/AMKwEAY= "]]}}, GraphicsComplexBox[CompressedData[" 1:eJw1mXc81f/7/4VKGigUIaveSANFEc9LRIgGmQfH2cMmm4RoEBWVkjTQIIo4 R9IgobeMypuMRCKbRCL9nq/v7ffxj9v9r3Oe1+O67s9xlCg+R+iCAgICxYsE BIj/Q5PzB8wYH40Gy68ZKtNcjGxaqsbHstaAThV7wvBEDILzscv3BarCt/FF M7WPkpDED/vC89StME87Z6AqmYqMnoYcjhTfAT9mPx7VNUxHWQEV+R2Ou0Gg /LPhi/ZM1GXR2TxnZgQFDIfTj1feQnSrsBFKgzE8K4jIye+9g4zLZoQbvE3h QfumP/K5uWg574vA+i9mILTO2HlO+z7aPGHuveeUBXi8fmU6OZCH9PmyLwwF D4DYru06LHIBKrBw31jtYwM/33Sm17UXomei4gsSpw/BI6uiSKE1j5EsL6e9 sPIwqGypTXi6sQgpx875la2zhUrW5GVHg2Lkpr3sQgLTDuIf3EuL3PEESahb 36m6cRR2klrLMheXIB/Dgz6ek/YwbGt8RLO+BJmmJ2jGbXWE4q4S1TbPUlS1 OurWkpNOMOOeefr7fCkK9t1y68BHZ5iJe6122JuHbkqtSRUUI0HFrv+qdr7k oeDWEiMVqius82mdt17MR1U9Ke1FWW6ge+VeWpMOH5k2qQiKtLqDzaBE4107 PuJ5l/n2ppKhWmKtIcmLj06vi2oL0/aAic7Z0s4IPtrelJVp3ukB81lfXvUl 8NH43A216TgKSPfcVH15jo88LcsekJSoYCIucuXdBT56lqtz9lcdFfga+3oS 0/ioTq2GeoBNg8LUx20Kl/loYv3uRTHCdMiciTyz5gofjcgvmxvOo4PRmq7+ YszZJlMjYpYM8L/RZCCWzkfaIUaGrCkGuHscuW2BObzx9smQi0zYxrnyjo25 82rfBc42Foz62DVEYJYKjJ8/38qCfnWFJacxL/Pb6+4XxIbD7oqPkjE3R7gq xCtxQKlp78hFzE9+292KqOXAYe4B20uYbTOYGzYzuKDdm3/nMuY3B9p+rRL3 hOGTC6FXME8rMt7ef+gJGTI6QwQjZgNFzdILtHzfa6Rjdiu/bN8+6QVe/Sx7 gnftDDcxS/GGVEsTP4IHyp8lftP3Ad/6e7EEf+o48PMv8oH+N4JxBCsYqJtP ZAmBgc3lBzvJoYg53yf0zFQBlq1BXysVTiFn7pB1SIoDdHsLmRgpliLhlhjm 6zZHYB9b7XqFV4oyXx69pb7FGWh/gr1/7uKhFSaK1/7xd4Ha+gMhrlcxz9C+ r+aTQCj5UFlHHw9ldqokDS1yA8Glvy8yFfhI2PnTqOsedyiMcOvM2sdH+Zu/ 8QKADD5m3WoGFD7KMpHbWNBLBgl/f43uY3zUESi250uCB4RdJ1sIxPJRCiOr V0GLAlJyw1d5Z/loq8oWjvp7CpRPJWUvOs9HkrNB1zSCqLBriflRp1TcjwOR wcqyNDD4d77I6xKu361o7f4SGnxZxnmYi/tlTE4pqtSRDgL2J5964/6oLYwK jJqjw+2122/2Yx52TZfac4MBGfnS7ttx/exV/TzGTZhgP3G50gVz3hPTRL8v TKBL50YFYg5dWmK+EMuCphGB57GYk/2/5p/4hw1mzadqEjGPTjdUzL1lg8S+ bNkLmKsMnMgnjnFA8B9ryzTMcVZd3e/XciG21k+C6I+kQMUV8k+5UDlor0D0 Q1fJhh6SuyeoSSjzCZatkr3MnvcExeojYkS+784XdZzI9IKkOJYpwW9DltWn GHuDh9EvGsHioXKsS33e4KzYGU7wlwOLjQMMfcD2Tcv/9UuF8OSPH1k/kOKU XiepzBc5s4+GtUyuAzdSRaez3UlEs7vu5m/sAFX6J8XiZkrQHb3FdapxjrBy 3OjP3YulSGuQrbyuzQmGnWKt69bz0Ku2HIUyFReg8P0MhE7ykP2S8gpRGgk0 vcW/6X3gIVGXEXrCY1foSxUgOazmI1rmzr5To25gXbr491pDPlITne8wkCZD QeT5c9UufKTpNGRpUU4GJ56W7ns/PnpcXS261dUD9su/LZKN5qPua4rGOksp UJwjoT10Gtc/mVErlkeBpLufXSaS+ejFzSu3K62osGnX/Oasi3wkUON4ImmS CiPlrRNCuD9S6apvZVJoUKT87yEm7g9fufznGVvpoKgRIGeK+8Glv7J05wc6 rBNifWzAXNNYvSgnkAGHpIaGFXH9TN85HNSUY4LZbhMzW8ySJlMix8qYkJ+c FOGDeXOTtVexEwtoc69iozEfCdj5cZkAG8Jljy05i3leZ1my7k027Bc1+J2C 2Yrk8jzWigMDb0JzUzHL3U43vjvOAQ1WKo/wia9IldSdFC7saX/fR/RL84mI kSd6nqBlVHaN6I9T/qB15qMnjNxuWyA4PuLlhqOBXtBuVLKLyDv1aqOErqw3 7GGWuxLcGeCUyvJbCU/zU4Rizh9HounGygYnnOH3kVd6gXY4v7z0tWkvXEAn fC6F8xDn279Scv0qV9A9abhixzQPaZGdiw8edoO9HP3Rs+p8dEfq+C/tM+4g tkj7b7A19q11Y+oDDhkyho5fWcPC9dlq/VdyuQdYRyo+PhvKR0tUHL1SH3vA ekPW60sn+Qi0FONFXSgQt0/zlG0SH9WX/BA1+U2BixOa0j/xvLMOHb14PosK ElXyz+fxvCeI3PYqNabBB/7aC29xnmqfO9KLO2lwsOX2h26cp7d82p7mGDrw 58c2pOL89MJ2a71RZkBiuMG9ecxiQ1z15loGiGfbdRrierDCzgQUc5lwS7hH n0rkq5Ym5i3CAvEFn8EQwt+GCsr7H7IgNqkgJR7zv34X42dt2EDp8T96DnM3 /9Loi2k2/LF+I0nsB3vWOyw6foMD/ZHP/yPmffiHcvRfIy58Tr/pTuR3vztC 8FIfF64sqTxI5DU49KpFKMETWsad3xOcJ/Vzfr+KF5T+c0eeyEs6Nzv9YY0X pNWusCFY0GHvqSGWN0irhXIJ/nM51no2qxflilZXvJehoQ8bknb2WkhDS/ZL m7fDsWhw/zRjTMYBRA/drz/bU4ICWWbhdk6OILOlkhwZXYrCFgIoYgVOUGy8 ZeP5FTwkt5FDjp13BqXIF80fQ3loPol5L343CZJqCoJ763johcyRIx/PuALF GOVMLsf9BVRy5hs3qJoM1EvaxUf02SVjGxaR4b/Bi/etHflosrfZ9dJdMrTL 1MVn+/BRpo+y/wdzD2jmPs1PiML9W9LtYzjpAewX/e1jp/D87hOajblCgUzH vEBXPM/SQff+SdGlQu0xgRv6eJ679MyWVHZRoXFAf0sdPh9sMw9aWxRBg3Et UTVTnP92uQBysgwdOvN8MzVx3ndiGE7nX9ChfWJt7SvMumc6Z5zdGXD24SR5 Ha6fgYqVmaUIE/Qib16zwVyz7MCb6Rwm2DomlntiFi6RiU42ZcGhzkv8KMzF PzoHrIdZ8EG3aNUZzDHNG2fen2XDvNAhF2Kez3l2jMbpcqB6FbIm5nnAZsZv dScHnpHTE4h5pjSnXWWGc+GCom810Q8H+jUCelQ8oW1L6Fki/+cWtlGyrzwB GBE/Ce7x2//SyN0LNrd2ahF5Rzm8HNE8LQJq2pUj5VkRyC7fiqLt4AwxX70q vpvx0KMZkpNbugvQ1zdPJ97hIaYPf+FSLwnuXQxerTXKQwMKz7Ouq7uBQ/M4 S1qVjz6U5gXsp7pDy7GM0ZsW2Dd72nOSj5Lhyv1pGX06Pl/wdqymzJBhu7HE tZfB+Pz1tuiD/nUP6FtxfswuDq/PqrtY0owCyftiVyQm8tGCZ4p+yTcK3Dnf XRuF57dClbHW7SwVtNk/0vPx/DJCUiaHt9Cg7d5p0Uw8v5Uvtn6zrqOBc+TP 9a9xflvlXTqrvOjADdBdHoPzipbqaFYWY8Atoachk5ij7sRsSChmgHAzyVEP 18O9IZLT7MAEZ+rb6+6Yf40O149NMaHql091EOYs5cEdKuksqCpfuuMk5q2T BlcNDdjQ5uuWloSZ6Vhk7/aFDWEi9hnEfh29uXV79BkOpPDDLhLzy7sRXcje zAXVM5W7ibwy7tskODVy4V3jFz0iH9phP9L2AE/YL36hmuDe4aWWbWJekCBZ KE3kFWmobMz1+4M+W+U/SU4+hjj1CRtmyFS4El6R9Rf3s7Ijd95hCQ10Hak0 fVyP2djmqOjbmJ/ZB5zC9SiU61e4b0KH2qwX8s54/asPKEl/6qdDzHVzmQ7M zmsLl0+cZoDWZYXvavjzrENpjqu2MyH5Q3euA2ZyRIblj3omHP18WcKf2I+G Tzi3ebNgm+WlbTGYxycTX75ew4axbTmjxP50LG14U3oJG14flkg+j1nkwKfk GDIHmEfezBH9fGjGQMJImAt37gR+I/o5ymgypTubC1Xtq4SI9R++tuXr7IAn XEjgLiXWr5GgH8U97QUexzuNCA6vyBEQvvkefQ2+y9rpaI8k5tQusn9KwlHH VnqRXizSrFQe2rLEAbLlbaYG/itBHQL9tsMmjhDZsJJUFlSKboiECi6/6gQd Shq6b4V5qK7OatHAgDOcyo8IUQjkoXeHn2WaqpIgr3Kob2019llo3P75IFfQ oNdx7opgv0r8llcvdoPvyZyrO3X5aGnPunGVEXdo29b0X7Q9Hx29Z9ZfnonP I9O1jDhvvH+ZNmb/Y+gBjX06t55E4vNqJSS86veAE4obij2xr1qzmlLKz1HA 1GeELI59Zdz9iD29mQpjFf2+i3G+78bKazo/UCG3u3HuAfbVvN6NZ3/9aWC6 EP9GC+crLtdSKCJGB9sVtfsVcZ77G/U0npfQ4WbT5x9PMY9+G/B/YofvLwUS PWtw/Urqq4ydFhhwJPic+gHMyiPBOXrXmbDiWLQVlzgv3D2+7M9uFiR23aiJ xPxV5/GkTw8LdhlcTiTuM9VKOx4on2ADt7JoKeGrwqmM+MWaHJDdI6xA5PtO ddMZ8/cc6GJ1exH5OpcukGp98fl0a9cTov9FZQVLfsl4At++L4bI28bimKyY 1BJY5VPZfXllOAotPSS4da8zxBq69s0jHnK7bvT71UkXcM98d+b4DR7S1xGb sntHAjE5V22JQR4yiZq4VCXlBh+239hrpoT3y1MmWu8PukNK99+OHHM+WlXc XbDIigy3r+eznlP5yDDq7rVTI2R48DKm830Q9kmWh8i5Cx6QfPP+4nx8f9jj BP+mG1DApUeoUwX7SLrGrXmsgwKHP15bZ4x99P2ct1NVNBUeyV5UjMM+Orp9 6ZOlqjSwmqg0iMfzl/LIIfHqCxo8FHC8XoLzWSVfscWISoehqN9nQ3AeqtT8 24cW4/r/9FEewbxz0bmrX+4xIIxROqhD3MdCZ+hfrJkg/vgaz5WYt+Z1+duH mGDoIp97DPMKqUMVKedYEBpTGBFH3Pe0xe+4a7HhWeCJ7YSP7ue+FM1vYYPF 1GMS4aNbRVdqBKI5YL3olA/ho8xjBTWZSlzYdG14I5FHanKpxdPXXHDLObSZ yEMpbv8NM7YneBtNPCdYQenM1W2nfyFBpdTeDwcDUJpeioerPRWefvG+3Yj7 U0K8p8J/ngo+YyoXNuD1VwfOqdan08DxWI9iCF5/ipylj8puOmi/l7M6iNdb kj75bWkXHZ5bZIq1YJYIfBpvdZwBZu20eVVi/1TpspXfxASBV2uij2Iuc69R 31HFhPj/jP/1Je4fXf29ZjQWXF7s7HqC+L46Hm/7l7HBMp0bQfiH9/X3p/4H bHyf/biP8I/Gh6v/CNnj+3Y4uZnoT916jnrAb+xn2tcGoj+DVVxs917jgoF0 0RRRj/LGoqu+fiOI3lXyuZfCRaOanQHvNReBgrC1fFpyMApZPsKQuVmJxsvK izpyzVHhwPRLTStJYHxdqpjXEYNsBHZvsZ63h94MwY6k5hIkbq0Hu3Y7gs4f y4R6v1L0OCm8+VSyE2yaz2rrFOChrOvlh2U/O4OJdup5fT8e4umw0m/LkKCg dOuDe5XYT3evV4p5ucL38ADDP0vwfT7sdYT3fTe4Qf/7z+KdfJTjpDCb1uMO 9AJho0tH8fk4UUCzMZ0M/Z8cd0544fnamoua9Dyg5oIM1xL7J75ufPXJHsxt +iXq2D+0dzxS22kK1N2vEPl+Dt9fpUrO3NtEhTiTNP3BCzhPq1/qQw1UuD4d nJiB/UMtLBLf5E2Dr3knKWo4X4GMpU6vl9HhC2NwWgbnKRuctbrlER161jUF 8jBbpnkXUg4yIO/e4EUJXN+pWyeek2cZ0MFe9N2S8EXXSmnHK0zYNpx0joM5 56b2u6IdLDiuJmpN+GfeNmMmupMF820DFoR/WBYGi+vC2ZB89G0H8Z7ycldk 8+tNHGCPflxM5Psq2VCa8o4D0sKPyUS+Leo6RmFcvL8g53wiX929DdsF2oWh zz3zZ75+GErcY9v8QM8ZLnQpR0fs4aGdvgWWP8Nd4IOIrsxEBg+pSJWNFlWS IOCuc9JsPw+N54uubl3uBrUXbj9v3cBHIROrUtaZuUN2QL1hthk+X/pQi8v2 kWGM/ylygYL9S6Z0Xxsgw6XHGVXO2Dc3z+y6pZfkAZr9JSYO2Dff3McdSLoU OPs+48boWTyvP/dlrmilwOcY0StK2DcLlf5hweFU8Dd82+eNfXMgca+01AYa 9OXaiYXheZtR9/z84ikNKnPldhTgPBYyxj7+dqXD7OtVDwNw/aeXSScyBRgQ LArMQcwpBWtaz91hwN14vpo2rse6g8W9A/vx/q4k/4KE+W/lQ7nD35hwSWOx JOGbvauEYs1Ps0C+PleB8E3Qkd93fTXZkPh3cJ54rzjQUEOza2LDm/VzBoRv imZCJF+GceBQsKQr4Zvz3dV2fDkuiCtUrSfqLy44rOH5ggvmZl9UCb+MrjZ6 IyE1jZZ9ysgJkvBH9z1TY8QPU8FhUcFlHvaLiKe8YvQMFUK8NnZI4PVuGREL +ZFKg+WWdTU+eL3RGeFru3XoEL49/LkFXt8pcGlQaKPDsdL8X82YPZWNq36F MuD4ijWzyvjzlsxebVJVYsIrvQC6HXF+O+yWbvecCbsD+BsJv0z9d/XuHzcW dPVEThD3b31bq8ZfwmzIdBk0JvzivEJwZ3IOGw4W2CsSftFfFx5QeYgDQ3Py z4j+U98V8yTpJwds6u2qiP6bSkve8SONC3NH7EaI9ZOK10/tOD2ANlV+j7ca YqI8K2/J031/0Y+NxzcxLwUh/ZkW63C/TjQb0jr66Lk7OjedrdiiOYHC7813 b0jyRv7ZoTqmN4vQmwWzmmC3Xej4Z1enVdNrQIHXNSNYEIO6FEzfkWbsIdVq X19nQwnSCHDX7dJxhInsenM7n1Jk0BhRZn7GCZ4dPpTydaEUrVj6M1TnkzPA z+Kkah8eyrvzTNpWEp9/Hkx6+b7CfgKNEzIsV5C6+2vDJuyfqK2bNc9nu8GW 21qV3B34vCd1849NpzucS1j4sgH7xz3S9Z3TZTI0WjlO5mD/eN6+sGLTTg/I Gz9oLIn9015f4/jtsweYO3i3L8X+0aDnvWImUCCv2FLtI/bPl2271gupUiEi ZTSoA/vn1WzaJ796Klh/ra5Ixf65NGyoz+fSQF8r85YKzv+Xi2K+ylI6mOmt qJLGecfVfYj3KKCDoNHawhLMIZ5aB/kHGJDsvoEtjut/cSU56us0A7yzGswI /9z5r9V6II0J5hZTWwn/7FVI3C6mzYLx3wGrCP+I0CTClrWzgEr6R43wz65O o8fyoWwIDF71hvBPnbPXr42quN8102f/7/6+z4I09pYDgtOLnYn87xvNP/1l KAzanWhl0LtQJHXcroyj7QyCOzbX8/Vxfdv6/VcFu8DH2yJjudd4aF28mCe1 ggSRe9fWDX3joTf7Ljd8WeIGQceO3FDEvqnIDkQGxu7QbCTDUMG+qa6/o7vW hAzc6GVK17FvzI88j9n4jQyOdqO58tg3FX9VfBLPeEDDww8jm7FvDKg115/p UKC3z6HkPfYNK3G38LWPFPDWVsqXwL453TUl2hRChYxKOzUa9s1+/e7qa3I0 eHswpT8Az58GY1rEjk+D1oDWwAe4/tMkEQ0nFzpEPKXo+eF6k10tBX78ocOj ptTF3zFXxLcE9d3Evln/2VQL16OUf+GWpxkTpoJIewnftJSH2n3pZYI8+UYt 8T7adYbUdyueBUO4HsT7aAzFZ/OsOhtiCt/3EL6Rp/4rcfcdG+5tpG0mfFMu w9ZXCuFAI/WpLeEb0UvNV81kuZC9J0uamLeW5Vc6Bdun0F8Bw+WGbD+0M0F6 DceGCsGnh73ysF+EZZ82LvlJBe5k2ogoXh9Z/erN+As0CKpvSOHi9YWQUrlG WnQ4t39w3AyvZ/Jissn9Fjp8vnGF1YT56qwQ9WAwA2x3yU0p4c/Lpoam3FVg ArPCs4V43zOyVG/6Ws4Em8KQJuJ9L8VuStSJxIKxmo4ywi9m1BdHTgiyYXWi jSrhl81Zi3t6brPhcBlpJeGXvfrcdBUbDpB3OD4m/HJrJGlO9gcH6K/CKoj+ 0sxpUFwr9Q2Zbrr1IXcVA6Wa1miEPVhAlifCPzZJBqFPn4xy0elWJO18SbJO 0wUNd/31Otc3hvz8fedmBLzQ/34fE/j/f//7PeB//P8A/GEDjg== "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl1WV4FmQYBeBvqCjdnQPpLqU7REIZ3TBQUGGju7u7u7vBFixCMcEAMUFC 6Q4DuF/4cV/vOc+ua/uxs2/RsfExcQkikUgUe6Iev7ujHudSclNK0oQSzKIx fSnOTGL4lT7spBgz+JJG/EJvdlCU6XxBWj/jZW8vtvMPRZjGYdL4eitekn8m t/waPeVt3KOaXtg7lc9JrbdkBQ31E+SSu7KNHvpW7lJVn0AheQqfkUpvwXIa 6D8RLXdhK/H6Fu5QRR9PQXkyh0ipN2cZ9fXj5JRfZQtx+mZuU1kfRwF5EgdJ oTdjKfX0Y+SQX2Ez3fVN3KKSPpb88kQOkFxvyhJe1H8ku9yZTXTTN3KTivoY 8skT2E8yvQmLqav/QDa5Ext5Q9/ADSroo8krj+dTkuqNWcQL+vdklWPZwOv6 eq5TXh9FHnkcn5BEj2EhdfTvyCJ3ZH34/evruEY5fSTPymP5mMR6IxZQWz9K ZrkD68IO9LVcpaw+gtzyGD4iUdgk86mlHyGT3J61YQf6Gq7wvD6cXPJoPuSZ sFfmUVP/loxyO9aEHeirucxz+jCi5VHs4+mwW+ZSQ/+GDHJbVocd6Ku4RBl9 KDnlkewlYdgtc6iuf016uQ2rwg70lVyktD6EHPIIPuCpsFtmU03vxAouUMpt MNnl4bzPk2GnzKKqHstyzlPSbRDZ5GG8xxNhl8ykit6RZfxNCbeBZJWH8i4J wg6ZQWW9A0v5i+JuA8giD+EdosLumE4lvT1LOEcxt/5klgfzdiTy6AOvDtOo qLZjMWcp6taPTPIg3uIBtd2mUkFuyyLOUMStLxnlgbzJfWq5TaG83IaFnKaw Wx8yyAPYw//UdJtMObk1C/iTQm69SS/3Zzf/UcNtEmXlVsznFAXdepEubJWW zOMkBdx7kjbskBbM5Q/yu/cgjZyaVKQkBclJRlKSkJhEYfdhu2F/YUNhF+F3 HTZKc+bwO/l833jC/5x+7OJfqrtNpLScJ3zOsIOv9HTe1qykmd7duyv83YfP E7aHvbp38+7kNzmvN46HkVXCQg== "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl02WUkEUYBeClu7tZulM6lu5cumHpXNJABUFR6ZIOA2wpJQ3STkoFBTsI O7DR5z3+eJh7X3bgzOx8iSmpyVPSJCQkPO2PWKNU4CN5j3USq+Vd1gmUS/P/ z06mr/mD1kEU4C19t3Ui5blBX2htxV/xf3AjaUk1q8jH8n30ox7pSE8GMpKJ zGQhK9nITg5ykovc5CEv+Zjq363EJ/Ia+lOf/Ewzr8yn8loG0IACTDevwmfy OgbSkEVmrflbfoabKMgMs6p8Lq9nEI1YbNaGf+S93EwhZppV4wt5A4NpzBKz tlyX93ELhZllVp0v5Y0MoQlLzdrxr7yf2RSJuzWrwVfyJobSlGVm7eOXywHL rRSNc+g1+VrezDCasdysQ7wHDuq3USzOodfikryF4TRnhVlH0nJIv53icQ69 NpflrYwgiZVmnUjHs/ocSsQ59Dpcke8nhRasMutMep7T51IyzqHX5ar8ACNp yWqzLmTgef0OSsU54k3yTbxbRvGQPpiCvK23ivcodyUjL+jzKB3n0uvxbexj NNv0IRTiHb11vDm5G5k4rM8nMc6p1+e72McYtutDKcxJvU28S7k7mTmi30mZ OLfegO9jH2N5WB9GEU7pbePtyj3IwlH9LsrGPegN+SH2MY5H9OEU5bTeLt6y 3JOsHNMXUC7uQW/Ej7GP8Tyqj6AYZ/T28bblZLJxXL+b8nEPemN+in1M4DE9 heKc1TvEW5d7kZ0T+j1UiHvQm/Bz7GMij+sjKcG7esd4+3JvcvCifi8V4x70 pvwS+5jEE/ooSvKe3im+BbkPOXlJX0iluAe9Gb/GPibzpD6aUryvd45vQ+5L Ll7WF1E57kFvzrXYxxSe0sdQmnN6l/hW5H7k5hV9MVXiHvQkfot9pLJDH0si 5/Wu8e3I/cnDq/oSqsY96C34PfYxlZ36OMrwgd4tviV5AHl5TV9Ktfi29D9i D9Pi96+X5UO5OwPlfLwuL6M6f7KL6fQgv79/w7qcGuxmBhfoyZusoCZ7mMlF kllJLWbRi1XUpjd16ENd/gOjQsDV "]]}}}], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwd13c81d8fB3ArGZW4VzKTFYqs7PE2IivJ3tzrLvcio6zyk4ySVaEQSdKU BpKEaKDMpGQkLd8ySkak/M7x1308H+fcc9/n9Xmfz/18tpJC91M42NjYutjZ 2PDn95llO0vqa+OVLh0udrZRk/DLMZoWF++ZSLLXd5cbjJpE809SRS+2mKxU 5OtB1KhJXEM5G9fFVyZbHLrs7aZGTf6ePWa/WPLRRH7heebTwQ8mDVwzv36V /DKhhDB3GlZ9NJEyULL6WcIJPnrshaFeX0329j/5MV1CgMFvevI9x6ZM4NQx /t2RclDRU/JsuWLeRPCX6+1TZFXYKalg3ar218T4YbTjkY1asE/kXmlzHjuU RDRUDLnrwTOT9knhIi4YsR7u/WNpDP6Pz9Zt1V8LFNvYSVKXKVzKtd812McL pnULXF0hFkC8PGvxSHEd8Nd+YBP/YAlZomqCD6Q3wPafViGGx61BZ4Zf+uWa jaD/QKzJiMMOjodyZlF7NkKltZ/8s9C9UFbtV/jyqCA84tv4T/DEPvA808tt qCgEYrXlg7dbHIEtVI+4u0IILPnZONa0OUJ+pkK4e6UQhPt6KHp0OoLUaWuX oDtC0M617iD7gCMcb1i6eaJaCOIcwzbsn3IEJbb0WzWPhGDom4Hpr837IfXp mF97hxAUS/aU7wrZD8MmFQ2DE0Igc+xPWN1mJxjc1mz6WIEA7x/Elc9JOkHh mamzYYoEOP/jzzs1WSdwNG0pllYmwCbfZfMrKk5wKsS6KVaFAHx6f4VzzJwg L/qM/xYtAvyc+vcgmOUEMkeKkpVNCdDkycGxtckJdrt8HbH1JICvBu/pVJoz MJO2HXpznAB6ZvtT6CxnMDUAPek0AhD3F8ZahznD2lzDOdpJArSFqZD545wh Wb/QYzaDAFp3HLWyMp2h57r9KNsZAvCrFfTnVTvDjonFPf+dJ0Ctynbxck4X 8Ml0vbRUSQBBJfuyJxdcIOPXnkbdVwQgqceYC1x2AcGqzhaPPgJU6V0e87ju AhYWM1UxrwngavNXerrKBb7YR/jVvEH7Z1YUiba7AM2H7YvMEAEUb60/GzLr Ar2mYcZtnwgAmp0nNlu7glRsm6PDHAFOGywpkve6wjD9pZDDPAE+miu0Vji5 gt2lslf2CwRIcY7nNvd1hRBpQ7c9iwR4eVD1WHCEKwT6SEep/yWAe23m4eYi V0j+nFPax0WEUCOHUNaMK/xgG5siEYgwImXR6b3gCv1bAz9pEYmwl01PxX7Z FW7+e8DPLUyEHS0y31W43aDs4ujPy5uI8G3PPHVa1A38j4koD4kSIdC5yDfc 1A0uBonXyUgTwZP53T462w0ODBS+Ed9BhDa70Zv0XDdwn/Nd6UPWVX3N71Hg BvtyftIzVIgg8rOhTa/MDcrfJnEuqxKh79Dp3X/uo/GvfoHd6kRwSNQzin/v Bv9JvLBw1SGCRX7qjiRVd/Cl6iwPmBJBOcJPe0TTHWSCT46cMCPCRnsd0NVz hxSK/ayuORGG2L46TZi7wx/ji/U5FkSIpFvGOXu4g84WzV4zKyKU6axpl0ty h88724ti7IjA1Z9IezrgDnxXioRcXdF+Kz3Dtrx3hymKZP4kcvcJjbiYT+7A ycFFS3IjwnmjsUyVaTQ+Gz9Y6U4ErcumNblcHtB0TF/3nyfKJ5JtDXWnB8R8 F7WO8SPCE6H4Uu5kD8j7dpVvkkYEg+7DdVZpHpAwbu/IohPhbkZc7/EsD9Cx rfz9DfkCTwwHf4EHuGt8Yn5hECH2XwRJoNIDjqg+/vWaSQT1bwyZzQMe8HlT Efe5UCIUP3YpVVLxhL++nyRvHiKC8P+c64I0POHUJ4HszVFESDd06r2h4wkJ EkWRScgx9/dxqJp5wpjkmrOe0URwrrAlabh5Qmujwj62WCLw5ZvKGBz1BJGd h9ZpHCFC1AGVUrvXaD03mqfGMSKsWzsXo/nOE36Hnf6TilxSVO8o9t4TWMFE tWHk9nZb9vFxT4jUandOSSKChHyQ/7FlTxg/X3/uVTIRmgfKpepkvUDq9RzF 8zhaz1y6cFu4F9zkM3gvnoHWG/gaviHKC6IW1KoCkXcdqLSZi/OCQVkvpQpk 3yLjpeZkL4jt750zzCTCnQVvD998Lzgh0bXVPYsIrjfzRXKbvOB/C/OiR04R 4aIwIYdDwBuuZT5XTsolws2yR5uciN7w337hiWfItZr0/Eui3nDXvsOGN48I nY6Pii3kvMHYZPdYOvJyBu1aip43LB7uT846i9bnrm/gC/SGR7UnOI/lo/oX Av8TeuAN5HVffskXEWFzigCL3OANegUKxj7IssJ1U/davKFCslEzB1lfU2DW udMbWveWyLAXE4EW+uBf3kc03+uR2Bvk5q/rieIbfKD0uFZPRAnK/22NsSzZ B1YOxEhHXEL5gPJRUboP1OqXFxYht18tahEI9oHzITxvnyNLxCTtWT7kA6l/ rueKlxGhSXT//tdpPjATLqHShMznNUlJvesD0eNvBf5dRv0zLJvxnd0XTI40 lu69SoTnu892feD2hV2iEf1hyD8q+ITe8vvCfPKFvhxk8/ifeU+EfeHR5kT1 d8jjUo0lRUq+8JJ8NZJ0DfWnv2eVg6MvBJyU9GRcR/0/lj14r8QXXry6FbL/ JhHiVbfvOHXZF+7SM0ZDkHVjnx4Oue4LVHK3wknkm4JLkkpVvpApT1ZvQc4B sn/xc18IkRiwUK9A56t41+fjU75Q0/0jd80tdH493035GPrB7ys81OxKIjRc jjQxMPWDzKCPXVeQo39uyN5s6QedI+PERuSJ4+bqrxz84FqPgfokct/9mxF7 yH7glhdTa3Ub3R+E//dbI80P2qyEVOaRLXpkOXje+kFTtSuX/l0iHBS++Hfv sB98E0zr2Ytc7iG1mDvmB3kvKLFk5LVjm3/ITvpBhOyiXzoyZZF7egu7P2xY bE4YQlbkWx4y2OQPwiRPm0P3iFCx/UttBPijx44A1qkqIjzrKNMWMfeHiack kVLkkVByVd1uf9jbWFh2F3lD1Wglu60/lG44Qn2FfMBwsDzLxR8e9tEyCNVE 0LDvzrkR5A+p7VFZmci1IXUHPub4g2Uz57kDNUTwO+LT6XHWHw43VK4cRuZO Z9vRne8P/UYm+08gu1yz/Fpf7A+ZI8dqLyLPfOz1ybvqDwLO7Bk9yDs8vttY 1/tDUWjdAZX7qB/NJeQrP/qDyu4jS/3IVvsbE+W/4PqklkaRp/xJo4Xj/vDv Nn38G7JR/NXC45P+UHCHfOof8rtaLSHSgj+cWWoTka8lAlHVfoXIHwD6wTLr Q5FPbI4fiNUIgHf22/ctILMunV6nsCsAch5Oc7A9QP9fqldMenQCoOMq4TIP MtGi+/I2owCoLv7vvihycahMeJ9VAKiaD4oZIN999oxP1ScAfJ6aTMUi5zgO Gg34BYBp9sayROSooekDSaQASNu7YpOGbDiz+c07WgBYmJWz8pGfSzIvpYYH wHbHbRz3kYciBQw/pAbAs95tGdPIDSuyoelpAfBI3jtgHvlimm6pTkYAyHlb Kv5FppYE8GSeDoClgfxMvjoi/Hxxr0+/KAD+jrc3yiFzy7oH59wNgM6OllZX ZLWekmKr4QDg+TNOvIs82NHq/uV9AGxJ2e50Hzml/YdQ8lgAjFEhtR55qAVS m78GwI1ryj3PkI/XjIYazQSAfA3n1Dvk0UJpU821JPjf4qAX+0MinDy3508P LwlUvo6urEHWzj1QfWAdCXK2jxTwIadnNindEiSBHceaGgKy7lF/ISUJEnyL vJAoj5xNLfkopU6CTPW9iVbIBuTWokeaJHieu7bIFvmL3w83b20SqFpWVDog G3rAy3wDEvyzXqp3Qx63Ha0iWqL5QhYxNGRQl07h8yKBktBocjLyjz8XFOeT SKCnNuJQj6xMudlMSyWBc3GPXSNyYGet98AJEvD9p23RjPy2pCe7PpMEXpr/ k2lFbtrNuZh4jgSSB7cUv0LOyqK2Cdwkwb4YSsF/yKqyKkFKr0hQoDj+RbCe CPR0Pa7C1yQQK3S0ICKXzu0uXveWBDXnrIs2IW9q9e2dHiLBUdoaM3Hkf6xs /ZovJBC4l+Emh9xR84vPfIkEMSvfH+xCZtnU3fDeSoaCkaZsF+QPO3XFOeXI MMDPedYN2VW4Ju2aAhkupInneyCbjt5hzG8nw7jBj2wf/HuHrm3L1iZD5JX1 +yjITRfPXWqxJcOrcDNCJPKu1E2EoL1kWJFqencQ+TorJ3GjIxnsRM8WRyHn 6mQH+LiSgXk/TDwOOagjdcuCPxlO8uZ9O4pMXDxUqHyIDJ3n3n7MRD4xMsvX E02GyXTuyGy8v5bw2Kg4Mmium2c7jfxfZojHkwQy+F3QFMxFbpCjivieJEN2 wwh/Ic5vn8uZUyVk6BMqDS1HfnRF8+TvdjI0VF8Uf4jcvJj7LqyDDCf+JRnU Iz+z/a30vYsMyw93eTxC7pyubx3uI0Oi3sbMRuQRHUvulhEy3G2UHGlBZmt1 P5oxQ4aDf43FXyJziT3s5p4jQ9LQhGgHMg9LUjphgQwjzdc3dSILbhxrCF8m g5gNja8bWcaduezGHQg3yfsGXyFbjB+JkhELhNstNPlB5D36o88KJQLBfXsl 9xCyXbrZJuEtgcDmavAF20VtbfVauUDIZd9ZMoJMjc6emVAJhPcb3q98QE7l uRR83zQQCN8Mw8aR2xVbyXaMQEjboq4xi5w3YaT/gBkITKv6EWzy7XsbFUIC 4XvO7xNzyMs6Fx6thAeCq1nm0DzyTqtDIvcOB8IHx7DwReQcitwL0exAaCxU J/9D9lcquJhyOhDK1/34g60yKRD9KycQDiqlnFnB+Ub+kevIDwQPHvNGtkdE WDzWG59wKRBMnpnxciL7liZofK0JhJcfbRhrkZWp8zzODwJBlDPzB/aCEut9 08NAmLRsO8SDnH3HLb2gKRCGW3Ym8CK3NKl+sW8PhK49P1P4kRXfD+VXDQdC quoERQD5p7geeyIXBXjSvh3ahPzbS7pCdi0FsiPa/8NmO7/W4ykvBaLMa7xE kDdK9N/mEaBAl+ADw83IahIR/lmiFKC1XvglinxAoqLxvCoFUgtztCWRo71z mMbqFOALIBRiJ5yPExnVRONLD/9hZ0vYhMrqUaBT7nSLFPJtia9S180pQKlJ MZdGnpbYGn/fnQLmKupSssjz3jzKHl4UUFuveAj73/np10s+FNgoQu7A3iDZ oGJMpsCZ8Bsxcsiqkl7DT4IpIN5Z0SaPHCKZa9ibSIEWs0d7FJEnJXn/TNyk gD3fto4dyEntfSkBlRQQYP/Br4IsFlUi1H+HAq3WBjbYe7p1lBtrKBAZ7v0U uyyR6nGqiQILJ8aqVZG9vrbc39VHgVnxtgQ15JkzWebX+ynwU1SuFvs4eHVJ DVBAa1pgGrsmf+bL2hEKDDcVeakjC9lt3fTuKwU4g27s1EBuux0fGf+HAp8l PZ9oIvv72LD9+kuBlaidc9jzvJvSaWxUuNJ1SV4LWY5ccWnfGirouDGSsROE h3plBKjw8VMs7ELWidVTfy5DBdEJ58vayJfNZycFbKjA0nmpqoevF0vd4YEd FaIsv7lh2+SG3CY5UGFTRmUC9tSX8fBqZyrMbNPswdZOG17w9KOCUY5CiD5y a/cz9vJIKgyctj5ngFywyEl2iKJC9jvpemyWjOmT3zFU4N997T22YOTDFNv/ UWFZv1veENlT5Db/zxNUyLh/4hb2hE++sOEFKpR4mN81Qm5I6T/0+SIV1oXH 92BnVxLeZpZRYT7r4A/sXeyZBR+uUeFXToGKMXJ8WeKW1CoquHf3lmELfGcq 9bZRQf9UYKoJska0sRF9lgrOjnNbTJHPrPeP/zRPBS07UW3s2dKjjf6LVDAc ErDDrul4YurxjwoHgw5FYRvI2lra8NDAnHvXS2yLTjeHHRI0YIb1B5vhfMkx 2VelaLBN0/UoNvdiQY/cVhqIytzKwW6VHXGSVKCBUtfnOmz7mED3DWo0mBE7 ssYc2VUuLOCHOQ04tp46g33/welSliUNvb9VlmFvdqj6OL6HBqrPr1Vjv4tZ oHywp8H3q7veYPt1HQnqdaNBgtCdzRbI9Ni0iComDablD+dix3VfSo4+QwM6 ITx6N+7nN2/tx3Np8HOClYzdObJ+k/s5GuTb2p/GlpmMKtcpokF1cOMN7FZe u+fz5TSQEA8dxiaaz/IcrKPB+3ZlQ0tkYxulnk/1NLBezLPCpjn65js30iCd Y2I/dp1fq5LWExqsi3NkYPsfPm/zq4MGvwcEcrFvVlukh32gwe2V4+PY/fUx zh8+0uDCSOEM9krLLQnHLzTYOlWwjL2/d3OF2ncanFP13WiF72dTEx3Ts6je 8/Pa2BaKuQIhPHT4wJ6egD1c8Pl00E46RLc6cu9BNpNKVxPQoEMfpW0DdvlF jc57WnSoOqoqgn3g6v94/+rRQWn+8TZsrhrRhCwLOoyKEvZgb++xD67yoEO2 SmIydrbzLJ+HNx3Cqj6lY8++Kbj615cOF15p52A3jHz9aBlIBzn69VLs/RNH PQdC6HDqWW8DdszaGqt/x+iw3sRqFnskzftzaQod7N/eW1qtdwPnMasTdBg2 FmK3Rl4nvK8hO5MOiuyX12OXyHzTks2ng6aOggL2cyMpmT236KDlUOOMLRyZ snzqLR1SxquvYvMECsbyDtLBqhcqsJedzi8kDNPhkWrzHexPmndnQsfo8Cb3 ah121a/hcfsJOmhHcb/E3h+x6zUvGwPkPEUnsS3JTfuPcjBAOFn4J7a+k233 by4G/InlncPeqhnw4isvA6olB5axf8ykP35KYIBHvug6G+Ss8E8VR7cxYNBQ Qwk7kRS6fVGJASs7qndgH9q/dPXADga4g7oatq/GxjI/dQY8VBDWwVadMSgw MmCAzrZMC+yXYWdSFvcyoHtM3RebN8zML+wQA3yvJadj6w4b35WMYUDquwNZ 2HRrgzXtcQyYo7icxn62VeuGzFEGPB3lO7daT6/8wquTDFCrU7qEvazJm6V9 kQFG561rsbeXrBkbu4TqZfbVYXuu49iVVc6As988HmHXflp69/UGAyKsXZqx D+ZOKOTXMODNB4GX2FPzXQ1/XjDAPrFgBFuS/FLwaicDuOdejWLbdbUGOvcw QEuU5yP29SuP+Sr6GSBf6f8Vm+Z+z9X3AwM4SvumsUcf5E01zTMgRbFvBbv3 sI9UytYgGH+fK2GL3O4Z/FteLgiGo/SksB/rHul9qhAE1BsDW7Bvz55PWbMj CLzEN8piZ7KGppK0g2A631UJ29bbq/GYbRCkbnXehW2mz8yX3Yu+3/FUG1t/ c1xEy74giFXU0sVW7ivYxukaBPH8aw2weezeZSX6B0GyXwpgPzHw8D96MAiM iDM22PWiDP2t0UFg7K1hh31vIZr4ODYIvLtD7bFL751rZUsIAmXvMQfshO1v 1RLSgqBkqNwZ21Dcjf1/F4Kg1KXKB7t6ybn0cFsQ2HaIhKyO77b2nn6B5jst r7o5y2gTqTMI2gTeh2J3yimkWb0KAt3Z4jDs8b0LYULDQRD3mucgtsSlfNOr P4Lgs+7xuNV6JjP+iP0KgudJ+w5jK+kmVmfMBYHMdpEj2NodQUoRS0Egnnch HnvfgoGgMRcT1toXHcVOsh0ZfSXCBIl4h1RsvrzeAksxJkyorqz61Ogz5wcS TMg7WHEcu/hgZWvxViY4v1qThl17IeE2YzsT/HTL07EnfskkrBgzgW/86ils p/O0LdupTHApbyvA7lfSNI5lMuH5tulCbM/7/7zbDjCB6iRQhE3qzS2gxTFh UhQuYB/geSJcls0EyxjqJezZ3CytX7lMcA0ILMOOkvVyMitkwobXPpex441n skcvM0G32/wKdkak9DrJh0w4p/z+OvZGjgllVhMTJJPrb2DnZN23fviUCc/s 8m5in7++N9WjmwmQY3IL+/roYY68z0yI0aXdwX5uN/B7w0YWtBUv1GDT7wW/ 4RRmQe1w5v3V/MQ4an6LsoBsIVuLbfdVOWJMlgXKQ+YPsHuPHp6s1mGB6GHq Q+yRmi1j3n4sYN01b8TemrTngiWDBQFSSk3YgY5h3moRLNC+zfMY+9v35n7O VBa4v69txlZ58P3MZDYLzrSltazmlUJ0fFPAgtQIjyfY89LUF9dvsSDx6tjT 1byrh8pItSzoU8h9ht1o7RQv1swCwWXj59jHw0E97TULiH9jW7EdC1U+LY6z QMyhsA1b7InYWcYyC+7klrVjf5xYazMgEAxBkYUvsG8Kzy3vkQ2GV5lJL7FN aF0kRZtgmOGCTuyxsD2Pjf2C4X2Uahd2yuHHW1wig6F9t0j36nlN1Y9nngiG 22Hjq+48dW/oaHEw5DeU9WCHn99hcO5eMDRFO/Rib7pyOf9WazD4THxftW/9 WdfBmWD4pLa2b/X6FnQLaouFwMSOlVW/iObtyDYNgQNcs6+xOdzMjn+nh6D3 w+5+bN1dceaW2SEwqJDzBlvuzQuXqboQGI/Y93a1f2Ik6HmfQ+Dc0u9VL4sF xxpvDAXBHScHVs9r/aP0L/qhIG3D/g77g90a0wijUBh1Wbvqd0N2cysmoUAy W7/q/wPqOaIV "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"eP[t], R[t], X[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{3.417828393971643*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotSubDepOscill", "[", RowBox[{ RowBox[{"S", "\[Rule]", " ", "0.3"}], ",", "250"}], "]"}]], "Input", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417827204654479*^9, 3.417827247230474*^9}, { 3.417828247882063*^9, 3.417828259010274*^9}, {3.417828370149326*^9, 3.417828377688912*^9}, 3.41783953458499*^9}], Cell[BoxData[ GraphicsBox[{{{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwUWnk4lG8XtiWpKKUkUUgUfrITzhFl3/d9MKaSSBTV2PclW5Zk3yWiiJIt hLQoSYiyhLLMlCJbfPP9Ndd9neecc5/7nOeZ532v94iTh7ELAx0dXesWOrr/ /84urOueJX1UybwHBrp6RspXiq5LqedVg/ZL30VZjh8qvtvnSQfy2mC8XO7Z 6bwtIKd+qCbB8w1YH/B6mCHLCTebiumY8j7ALiGX4hd3DsPQkEoJRA2AztDO D4nMx0Dxb7/eTc8RyNidRPGuEIN/aSF6K7kTsO8px5HMVBkQLe45vJ9zCj69 rPoh91sebGsO/pGO+g7JH6rmLmkqQcO76ruXPedBwyLkfcxFVWhiWvj9O/c3 YGn8n8TnGsB7SkTjVy4jzvdd2O9WYQFlKuvPlpWZsP3zoThJF0uQPd0jQfeZ CX0Z9/qO8FiBvtZVbnZOZhyLEfLiibUGf4vn86JRLJhQPn269KIdjHhZJZ/3 3Im9Bvk5vRmOoN/f/pOauwfLFc5tbE8/BwFf7azYlvYgaSNOjYHpPFR9X3ou qrMXz4o+eXne4zzsXhO+fWFxL0pXl2jGaVyAPr5bMhNa+7DOzvA/t3+uYH3B 7Eb/AhdWC/oFUQPd4dz6JGOjOi8+UzhAP7F8Be5sCXD7nM6LPlOt4X9lvaCL jevjCoUXh9+8aLW76gXHj2gXy6bzobdtSh3/by/4y28hOHDtMHa+O2JYtOAN 9RrPOoxeHcEfNnvlNBh8ABNDtp/xFsSDuwZsHrrehM4v+1QYMgVx7weRrg+V N0FftOxyc5sgqmucarVcvAl2ne8+Kuw5ioeYlyXigshw49+hXPFHR1GelXOo LdsPai48keb6KYT6w1v9LecDQPj0vN3sRRE8c37q4bhnMFTGByaU3hbBY58d WJ9nBIPsyJ42l2ci6O3CaTD5IhjO+CoKj7IexzG9lhmGgyHg9CBioe/ecawV KH59vysEMrn5I5qmT6B8V9aLIMkw2P3bvCrRWRwfq97IaNaIBF67I6YR0eLI ymW0onkzEkQ7Z/+SH4pjrtEVc/nKSNDMCITzm+KY0xTXpc8VBf5qZW9VMv5D z51ZlFBqFCy99F+6ekECY/Nq5cOqY+DfhnPXT7IErnSEc4tTYoBJWuvuxQQJ jOzhk7cUiYXd2XtUHOsk0Oghv798XiyIXikN091yEjsnqLdc0m6BM3fvXoG8 k9iyUq0SlBMPrgZ1U1k1J5Gybi5tNBEPl0Mzn3B1nUSOUxYT3/YkgD+FZMtG PYlB9XyXCFYJcLd1rWBFSRK7ZCfn478nwDvXo1LvBiQxi/ij1epAEnzKYd2i MyeJlp+KT5ioJsGXPmr/i01JXFUydmi6kARzKvU3nglJoW7EY//fz5Jg6x6D 1mJvKSyZSuTjJd0GlWe+Rn67pFEphPnC6IdkONz74232UWnU1LK4Y8GSAvQ/ rHVbFKXx67w1d6xyCrTvU9ZgdJHGXTypjliWAtpX6JWjnkrj7CnRYddbqSAa daW+7K00yryWfGnflQo7cyfkXk9IIwjYb5xiSoN3b15IsrPJoEQScfi1fxqY i0QLpzjJoGOZV8XOwDsgj2tFtT4y6Km06bm77Q4csHATGIiVwboHsTWKW9Nh OFSf92CdDCYkJKgduZ0OTqMce/O2y+KWJ2+2G9bfBY+0jM3yGlk00VXNcTLM AsMHO/zevpTF4bRvoTNlWSD5wm+V+kUWtVe/n3bamg1LCw6LktvkcJE3rNGt IxvI+oKzT+zkcH/PabG0/3LB3iXl/NAVOVSvOHzpqUsuAJl5ai1CDiveNqNo Vi4wlH0fVXkkh7LjgmJKu/IgcktFfzuzPCKlobWJJR9ceXhNpw7K41/f7HVu nXzQkYp/v/WkPF7UMk42jM8HNkfP19o28njm5pminEMF8NNnXMvtsjzGlWU8 +XGuAN7HmXTeCpNHAs7fd6spgOQGmdZ3lfK403dNKdG0EK59KIaFdnmMdlQN 8ygtBIuZ/Y17huSx/2neScbNQuDmWq0zZ1LAZY99fz/XFEGuV1PFsKUCvuTb e+2PRgmsUIyPp7gpYMvX2+0JD0rA2HW6WC9QAelNd956yVUKTI67cptKFJAz hllxZLkU7IYLeXyeKSD16fHbIh73oNZCIf2/HgWUZ+I2/v3jHpzXd0rKXVLA D3c+6O+hlMHzl0tsVqyKyFK0WbLhcx+4z8TE7OZVxHaeVaPkreXw+lRNaPAZ RczkvWN1QqECjtZp0p+yUsTfaqb6i58rwF9yxO+3myIaCtlo/At7ABIizD7E ZEXcyO9crP5VCVGFd3/zlCqiSzm9uaJ1FYzz/Xf54zNFHLzz5IpOSxUk77O8 cHaCFn9b62JfxkOYT5yb3FhSxKSrrPtYOR7B2Z1BTnWsp3C7OnXtfNwjWGYs sxGWPIU5WiUlgRnVYBSgMjB65hQKHBtxBrEaKFvtNU23OoW1j02Jsp01wHjt 3HujS6ewUKYii8X1Mdj+WtNjDTqFwV4H6En7auGxW0J3a/Ip5CnQmN/5phbY vgtq3Cw9hdteHSt9H1cHzV/0cK7nFF5k0jlhLPcUuKzHGwonTqFOYP+p/Yfr 4fLHawp2f0+hHWyIs3I9g5eG22s5tyvhGUGdY5cPNwD/6xzJt7xK2BYnPlGk 2Ag3NaQrwyWV0INNTU/0fBP0tXadgLNKqBLjdrOgrBnCn/4SrLqkhAbDPZu9 is/hq3R43vkgJVTveffkIH0ryFdx8x5JUUL3n5Kz3z+2QuKJyruDpUqYt3ok 27u+DWaK1fYnNSihb8rTCa6qdlDjH7it/U4J+bZ7xJ198gIys9x2MX5TQsMv Hr8S+jpAPzllm/d2ZbzYtC3XzvAllLAfDxflU8Z+V5684upuoItpYpiUVMZj Vz2l7kq+Bitmk4Css8r4w3Oz1bvnDTwKml4zs1ZGM+sGyTuxPbD9301fNndl 1PU68E+99h0QfXctdgQpo6yZ0tbVJ+9hn4cCRe6eMhq5bY9TXf8AHjNvXH82 KOM+2ZOTb+AjdLk4TZe+U0aexVUKU2Y/HBlbcnb8pox/soVdb3IMwA3bmNED y7T1Fk/udxQOwodPfHa921Xw2LlidW/TzyBqUjMYzaeCHWnFxpv8I/BFa6R3 7awK2uZ/+0ZJGAWOkn+r1rYqaGJ4LITYOgZnmXgF6j1VUECnhIObZQIqmuy9 fDNVcOfWBsYTbydh9GBAxqeHKuiiujHMqDMNe6/ntMl2quCyosCdgQ/fQbO/ eTZlWAU5KjLEXhFmgCw1umfxlwryhStt3/9tFqoS6JRMtwIuRdjqSpydh4n5 w8RqHkCN5880lZ0psE9HNZZDEtDqvSRjGxcVtEsdazw1AO14trXKulHBf0vw 8DtbwG3djT9qo6jwyCmfSeIKIHPXqt6T21SYam4VjY8ALA9O+dGfRoUDhyZM KZmAZ/oe3N51lwq6Nxj99B4BxpNuRvhmUCHwk0BReSdg5ZRSh30mFWqk1d9s HwG8yL4jYoyGvycSF10XAFnj/X/tyqJCnE8r2yQj4qu3wX/+0uzCxb35yWyI Wufc27JpuLVvXFb9AOKD5xKt22nYhvF3928BxGuPVzfVaPn+nGR0KBBHDBMs jdCh8Ykj7PltrIBIuqqbdjSdFi9eIIJBHfHXwkhLH41/a6PUwUf6iP771I7a pFLBdk6t0tEKcQfHr3P1yVRY4jZV201EZJnqGPqdRIXjvt4XL19HvOF6SWIl jgrtxaGbfKGII+NmlztiqWD/Mfl2Txyid5vP/cvRVEiSfPxMvBCRtap6zTaM CqKOLwy+PEBk0j1zLCeYCh3xHyduPUV8b5uV2BRAhZW5xe3zbxFvjUxeTr5O 8z/InJs5iBiapq2pfY3mr71PWvcborZOvcTwFSoQSmRt768gtrbY2SddpEKX o0/5BUFV7Ft2c5G3oYJTQgQe+E8VhQRC/JvNqbDelNbXpaCKhpJd7w4ZU+E/ nifrxwxUcVIvcdlWk+av3ZXwyUoV9RLiFZXUaP7XBwQjiKqY0L0WTFWmQmr/ su7UdVWMfubV+laSChJbto2lhKpiFR/bv2VRKnRLHbh6Jl4Vg5UudP4WosJG gkJWYaEqMs6o+lpwU8FF58a8U48qOvreYm3aoMBh1YGs0UFV9Ch/+fDaXwoM y8rq239TRbfoM49XqRQw5l94YLWiiveemwc5jlIAVy5cNhQ4jU+GU4tvN1Fg ndJ5+K3YaTyg/DMv4TEF6r4dfa8jfxoHty/XG5dTQPzd2EkNvdP4Ytv2aIF0 CvCUWP1W9jmNdn8IvFMeFBjIrCt4FnQau6/9tFklUuB2EqepQuxp1PFp3Nlj RQFW//c10nmnsX1FUejJaQosm2pdO/HqNJa2XO8N2E2BDwwKK1x8ahjT5djb lD8Pccup91JF1DAtuZa7+fY8aFP+WO2VVsM3/P7S/qHz0DJYVc+upYZup3vp FV3m4UGVMJnZSw0/m/6WeSQwD9H2XJu/O9TwGNeNUM6UOThreq3S870acgwf /ygfPAf02n0O1M9qCI70eQIec+Ark9Ay81MNpenOtRlrzgFpB0vwGLc6rq7v XBFbngXV+r9MPe7qqPR0tD5Vfxbknaal7/iqo33FXfJuxVmQYP1EdAxWx9fq vv2ko7PAa13b/jtFHbccyeUvXJuB1RXvUK5GddSbE7xMLp6BGoUFRqftZ7BI 4GWc/NIPEHo6x7BYcgbT15e4V4O+w/YnY3QHx85i6MhxgyjCJPw0TAuvmz2L V37t9DijPgl9P3R3mC6dxZxbP42pxyYh6+CT/be2a+Bo27Zv26nf4L+AOPFN GQ2sOr3+xpn8DUzOnrKdiNbAyHhDK7vbE5DRl1x3X1oTN2+TPJYrxyDwkray JmjitUf+94YSxoDITNf2TUsTRfI9Z7I8x0BM/uLbQw6auCYdV9IuOQbNGaqT 8VGaqGBbqu9XPQoTThQO7y+aaPe7ZKnG5iuc+KXhrhSphe/IHmOt/4ZAVyne SzBJC81/xYQuPBkCt4h+3x2ZWlhlOvqlwmsIyg+5hAxXamHrTxb/xulB2v4M vkP+pIWXVSdMFl8OgHhBQ2uDkDYqB+ur6Xv3g6TZyf3KL7SRL2G185TuezDO 9eU52qONnv0pSjd+v4Mrs81Hdg5q48THc89+pb+D6iB90ZE5bSw+Iq/E+bIH pB9cVPXbq4NS0aUf50Zfg+zW4ouNzjp4p5FPrfJ1B5gbz18uuqSDT6I0XdeY OuBalvS1Wz46qFuw8ueG0guok2oLtIvRwfKricF199pAnjCa8u+RDgrPVPfO BLeA5f1jGZMNOshkriG+5N0MvkvuuW86dPB7AkXj4lQjPI39V5Y1pIN1dctM /h/qQfEpd4sygy6uR+oXcP+qAfKryrHf23VxVTfBcvp2NTSNqDOWceoiq8yP 1Cl8BKoMHmf3iejijqPDReHkSgjey3T+taQuJrgov/xxpALahdKjgpV08dd/ s55fvpWBpk7ba4qBLvZ8nCup6i6GaDtLSqGVLtIVjV1R+1kIrz3m2W2cddHH bCtWyhcAW3Dwyd2XdPFOSlgYb2EeGCbvN+m8pot1c4f3yUrmQlJxubdfoC7+ 4c1UEWnPgr4nqqlS0TS+AqtdLcQM2Peqv+7HbV3M/kh68/B0OliMXBzMydJF MzOy8YhVGtyh0q2ZlehiXMSr/CdFKTBEn8qz46EumqYICoYdSQaevSdUWut1 0eTXzut+XUlgL9Ti4Nuui2GaLiXrKYmQK28WJP5WF8Un59uywhJgXHsm/9sn XXzxomWzUCgeBO0C2u+O6WJQ/8aOoWu3gOSxd8pwVhe3UYzotBZjoDTo3tat i7pYLfJdXTgzGmZuq4g0buhigcvLBTdSFIgWf9D2YtFD/LEQVW8QCZeenHcT 4dDD9U8fog1NI+BB979bXw/q4fJnDuWly+HwczipMuWoHprdPywwkx8GktRj 73X+00MFPZuenulQ8KZvXKBX0MM99IL6ecqhULvHeO+T03q48a6MLy8/BJaP Tsu46+ohx8hsvT5nCCjKky0EzfVweus+OrvkYCBr774+5KCHvy50PbjHGwxN tsV3Ey7o4Wvu5BTZ6iCg8zjVcNZLDxeup/0TMAqC00HvRtbJenjCdJN6/28g hNx22XwUrof8h11MeIsDob1o9fCFBD2sIe/qGLEJBOYn8af57urhZpD4ii1X IGh2CxI/FuihxvF6qnxtAEQPPw2LqdDDNLeLzsYaAfCaol+iWqeHd7gLh6Un /IGN/lvX3xY9NJY3cDoS5Q+Ge67PVHTr4YjagfAL8v6QdJRtB7FPD93zTD5e +ukHfXIFYty0Ozr/W52+jCo/2Kctb/BuWg+vkKiNbr5+YGn75nL4Lz0k1Lwk EjX8IN3dKUlpTQ9bWAXEdh3yg6HAv9ULTPrYavFDlHmFDDy3Yz+WsunjSQUP k29DZLAvOvLXnksfGSzIzIatZMitq+Xi5NfHj+GfR/48IMP4Sx3FVyf00Ui5 Jzc0lwyCw6M2QTL6eIGppK42lQwkylU/OdDHtColD41EMpTSbc+Z19RHn5f5 X/7Gk2GGI7elwFgftQNeXrmVRAbRozLjVrb6+Lxuwuj9HTK4y3Uz7iLpo2mX l1ZiPhkqtRyOdnjo4ydR3x1ZlWT4olufaXBDHxlrHzjrPicDmyHn3sFQfZyb qDnk3U8GZZPLMU7x+uiXmt84QSGDm/krhrl0fZQ/c5TjEqsfZFgJ3bhaqI8C opYXpoT9oNs26NfGA32sKpn5dUzbD4Sd5UZ3t+sjh9JymneyH1iQkiwy3urj 4OXqb8qNfhB+Yf6t4KA+Ls1Qbul894NJj4JGOYo+vm9pUOtU94d8MnuGHZcB umfb/bu/NwDeB7hyTPMboKhA0K0l3QCgC3kRdVnMAM22XFEaCA8A+6ibviGn DbC3+sjGkc0AOJg6bXbPzQA1zvjNCAcGQnJl867FFgN8JzaWKZcdBG2PuCP9 Xxmg97kXN5zbg2Dh8dXNrf0G2JmwfIp9NgiMGk5QuGcNMJvNvWJEIRgivr1y yWU1xF3Swt6CI8Gg/ktOrUPaEKvSD+brKYRCI+uujd1RhpgjFjg3fyYCrriE X1+/ZYgPnfr4mHwiQLhl/c9UkiFOHx7MCi6NgKSrP2afZRqihu3wUOOOSDg/ 2jroUmWIaxcXTbSHImFv7dXHTz8Z4tFkA3J3dDR075qTKBw2xPl9WdJ/W6Mh 4KJTedyYIVrd/w/y1mjnx2GDAudZQwxXl+P1do+BlhjhxJ2bhmgv9uS8hnUs uDl+dnMUMkJ2ovs6UTcO+BuMvuucMEID+zFBg1tx8Glfl7OshBH+YzPaN/A2 Dk6/rrHermiE4dxnW96bxAOXXJzmYz0jPJxF7RiQTIC2HaqC264a4cA3vawZ s0TwPVeX8/u6Ee6138u+nZwI4q1iB7/4GyFv696l5PxEuOPDzVEdaYRiTHsd 538mgvv4703bTCNMj/p7bz4pCbifFH+uajNCRq1bR/Qot+HsdjqGLS+NMO9K Q9cGXzJcsbcStnprhKctTXfZGSdDN9OOq/SDRnjgQkuLxNNkuGnkyWZMMcL9 NuUbj+JToLSwW7r4txGylvvya3amQN9fAZvVZRrf2o9HqzZTQDS7vySf0Rj/ HWfbu8srFYZnTqn+5jLGtxY6vk+IacCiknJOg9cYC8/Mfo8rSAPpRMqtDAFj DF+bHr04kQaxcnlDauLGqKTWoGBJugPKoczeyWrG+EMq8dO36+mQfeh9sYy7 MXIJZXzwHM2A7svH30R5GaPANbY+LulMWGoL+T3ia4z/rSw894zKBH1XWQwP McavjAl1PgpZsFmbMdh/xxhFsy/q1lRlgyjr4ubxbGMcrkq+37EnByzt9IUC CowxrNS9+ND1HKhipPc69sAYm06Onb95NBcIhqQdvm3GyPHlltqerXkQW9As +brLGOdJe5g41fLgyRKX1eG3xpjPOsBcGpgHu7JeFXUNGOPa3mdN3XT5oPRT 8DXPF2Ncv9EcH6iWD+fV/BcuTxjjkxOagZyR+fD8hwQcoBijzqXbLrL7C4Ci FO1y6bcxptRrd/92LADuhImY58vG2J78imHhQQFckU0duMBogi5814aOGhYC f8iaZz2XCTYV0weyVhfB16c3ixcPmSDjwq0Dd3cXQ+bPtSEJAROcXjtmcsmr GPbZr6uViJlgxVaZwTuqJfAhmew7LmmCEjGEFIsHJZDwar38kLwJ7n9d3X6U rxRYFf5xJp+m4fyZ6Zmd96DTw0+7R8MEc6gfHS/E3oPQ4n/+rHom2DUbvrJ1 Vxls7NmYDrQwwazOg8Q/x+7DM21/ngZbE/xuT5e50nAffIM2DP86miDrizju eMty+EXZeHrJzQRVGBKpkkUV8OBoAKXU0wSFdu8LVLJ4AK62m/zfrtHikVx4 enZXwreXmzHWQSbYeXAoItioCvLoAltSwk2wiMz4LLixCuzl6BbfxZjguSuF F4T+ewgDhXT2Gqkm6D15oWHX0UeQ8jkwKTjDBK8xqh/TK3sExhz0nY25Jugb a5N1UK4a2LWC1paLTHAwRfLhntfV8DqAXkL6vglWQfiTLxdqIKo2iOhRZYKZ qkK3Tu5+DGfn6dPLHpvgkPNFx0+tj6HFmoHhSIsJ7iK3hdzRrAO/xGBZ2xcm yDDYv6eC9wkodjFcTOs2wdBzgSXMjE/h70ZwTm+PCTbUDCROLD2FGhnGvp0f TdD6lbRp5lo9eLqFsGgNmeCE7sn6So4G2v2ZUTn0qwkKGinsaFRuhNJdTMWr P0xQ6/gcmfNTM7hohA7JUE1wuIXh5LPCFuD3Z2L3/GOCI4efSm9xew5fa0LV yldM8LVD1HLF6VbInGXynd4wQfECC6+Dx9vAij+snJ/JFOdE9mz0CrTDPqst Y3bbTNHiw/C1GydfQHzHFu2+PabIyCPPsBTfCbr/wvzZD5iiUPoNkcFvXcAi zVytzWuKOhm8Sz1m3fDCNXw6TMAU7xseXdebfAXBecw8z4VNMYOh/+piyhuA gXDDdTFT/BXgKpvm2gPrbFvD5KRMMWGVYY2r+h1cI2+lVCibYgD9uXt3qL0g VR3B/+O0Kb4faQqrO9kHP39stRDUNMXZ0axNobiPUHE4MsZBzxQ1Ddl+tjN/ AlcLlpa7xqb4uv9o+dWsATgWF/nno4UpRmQbEw6aDsG3dhaR3XammMjIxhEt Ogz2ktuSIs6Z4ssZu74qwVFQOG0cft7NFMuCxEf+So3BXuOMG1qepkis9yjj Nh2Hl55izttvmuLSeirpQsc3KAy6ZjEXYIqyd8S9GfZPgX9is86bUFO8xTI2 1uo9DdIPjaTj40xx5bLUu8SzM8D+/K7w5dumOJF6veJE2SzMvJvgMbpjisu3 CLNzi3PwYlR0t2SWKW5Mn4ni30WB3J9Xt+zJN0X/44llQp8pcJOueeV3sSmm MzT6yehSwXwXC6XvvinmcWcediBTQeKw0fjjKlPcecj/zpE4KmyXuNuf+tgU OwK56jeTqTAFE90+9ab4R2R+Du9QocVAtNmy2RSnZxf0RO9SIcPharVCuyne ea4d45lBhWseTSXcL02RoydKSzuTCkYBWzPX3phiMbOT9lsaFo03TBjuNUWj fy2VrFlU2JqTHtr4yRQNYhO9WGh4/MG4b/awKba/tHP6//rGphOXAsZMkVf+ 45AjDd956+1ImDLF2Ew28U5avitfGs1UZ01xT5LHZ3oa1qMwa/P/NKWdj46t e2n8hDcMVBgXTfFpSJIcQzoVGNjSJb+t0Pp36duh12lUGDk0LvRig1ZPhgSb dyoVnoidOFjMaIY8+SLGa7T6byt7s0ewmOGvR/8mnW5TwV2vkfH8TjNMJg1m 30+kgsAlgzmR/WZYt6Pi5/gtKmyQ74yy8pih7Dg7qTeGCgOxY32zh81wfc6/ vTCKCnHlXo0Vx81QX6O7YSGUChcaGh7G/WeGHM2Xz7sHU0H99ZZiD2kzzLBd 437z//dbs2lxJ1XM0KhPfEbyBhWIJxocHhuZYSdXnH76JSrAqS2mqeZmGGKy 11fIlQrcOvqaPjZm6EJlUUomUaHHdVRCwcUMu066P2B3oELZDZGj3K5mGHV5 xobHhgqh0VcOrLmbYQ1HYs5WCyooljExNPqaYYzpQImPPhU46/WWsvzMsCjm itqaFhV+vkyd8Q82Q27ePF6bM1Qo/iH8AWPNcG0jebP8FBV2i+gVtueYYdN6 q2uEEBWcTl5XYy8yw7tfLu2xP0yFGoWicasyM2QyinFh4qbNo/a/w9QaM3yb 8DekYQcVMi9WZB3oNsMjSxx8rVQKULwGlYg9Zhi8mpP8b5oCQN4y/KDPDHfv 026lH6XAeKwdt/pXM7xswbNE6KGA8IOdae5/zDCB8KGAeJ8CN2oVZJ+umOEF 24GcnjwKvGpy+ci4aYZhYSbK/9Io4N7TuCd9mzmKCVm9ywqhQM3PSwltvObI ffap/jcLCjCvpP/HJmiOM2v7BU11KWBB3/HWUsQcCXtuXgxGCqzu5t1JkTLH XP1Hy1zCFECpt1FcWubYNpIrfuzPPCSdWhV21jfHt/dcnUOm5mFCTairwsQc YwZcozMH5iHc1J9Zzd4cp83LX25pmIfXV8VDLnmZ4/md0fF1AfNg+SSO3Jpl jnZ7FxQHV+egrKX+4M4Cc/zWcXaO78ccrHVN1VuUmqNvzwdOkU9zkD2osjL3 iJbv9kdy2KM5+LZKubq/yxwn1B69vUGaAw9lAw+3BXO8/vtUMWv7LHzhVX9r +9ccibyje7BqFvTpFMT01s0xbmu2kE7mLIi28c+KMVtgxjmS8KQX7fzRXCJR D1gg+U/zfuUjs0A0zbK/omqBpzg1Xx26OgPWF2f1fBMssPW0weAZ5h+gnh4h GipuiU7sRNeV75Nw3MtB9ouUJXpO2R3veT0Ju/TkUF7BEtt2+BYnVU3CMN20 yZyaJVov0LWM+0yC9/mzN02tLFGk0dS8aMskFMpt6RYMtcTqAI8fyYe+AVN/ 8LkXg5bInir38oTyOMxUWnvyfbVEvzBuAwPecXgXJXnz+jdLrOSsuWi+OQaZ yuNxYlRLzJ+aaN/xfAyki1RrU5is8JFf9ltmtTEgetNtIf1nhb3jqW7BOArt HP75zGFWeDS8MblKZhhOvSPXa0RbodxDluZ2ymd4dOtmb2S8FY7nOJc7lXyG HJbrDNvvWmGA4Ncwif2f4caGlxN7pRX+EP3M8/znIJycucDPNWiFa9flwuYj P0FpyXlFqy80/yfX4o8rfAJel3PGdyesUK3ELbXxez/sGCUG81CscAdngNan M/3w/aPD+GFGa6w1YD909W8fZD83yxcRs8bDUa0TVjK9wBlgWu8qaY0vTvIl WQ++h1glk977ctZYZjv8yJ/8Hq7XGTKIn7ZG7nsKEida3oFphY6TpIU1/vT4 4sJy4y2wpqvynwqyxlt+5zbVDnVBkDkqksOt0W7jnI2ATics7wHjxhhrJB0e uzTq0wGTcUrBkGqNcZ2DzQlv26ElVG5c7b41yjn8dyTw2nOQOy27GlpljcLD Jvo/clvgwaY0R8dja1QMmGe3vNMMmTckT2u2WKOKftPzn3oN4HNZLF/3ozWu uDwSbll+DDu2Ll6XGrLGdu+FZq/EGsjNajDi/mqNEfXKwmVS1dDdrUP//bs1 Sj8PCglLp93vHPcMvp23xh32By7INj+A33+Hqh4vWGNTywQj6/ly4DnqSghZ t0Ypjgc7h/aXwsNnJ+Vd6W3Q1F4hRZC/GM4ar7AbMdvgtrozOdEGhTD0vWVa brsNXihiLEjKzQePgMhm3l02qJg80CbLmQdM+wzTtnDa4NZnIdhtlQN3yvd7 zB2wwVERZ37WN5kgpvb17AdeG1werDzNFnQXWgeLeesFbNDmY0b/H887YH7Z fSlX2Ab3saru1stIhVlm2bcRYjb4hCU8T385GQKz/hW5S9pgqe5sJVvobdgr /cLPTM4G+S3rOCoVkuBed6yZkhIND3E1hOxNBBVHUzEBVRsU3hJ+THxXAvT+ PbiF9awNznNPl9kZxcG5uInhn9o2eF6dee1zTSysC96v+WRggxSFSvsb6jGQ 8OxKbJOpDX4pORFVshoFR40ViUVWND7xx/vjeyOh/ju9Uqy9DTKvPXjF2hUB +gEv93g52+DGawHnyE/hMMGZOGt13gZz17Ja1v6FgW+5ZRtessEM4VdqL+XD YIfa4YxjV2j5Iv1bHoeFQu7g9BU2HxtkOVL6+NN4CMhcrtRevGmDRSVfJKP1 Q6Cb2Yd/ONAGM58GnHfsDAb7LJXV1jAbrMwacz2iGwy/pZh770XT9P7mH1j7 OQgiu9/cS4in6XVTrEX8ahDwOKYE+STbYC2P16+a/UHw8K+tlX26Df7H/p0l tjUQzsYJnjyTbYNkzvlr268GwpDgHItogQ0eP/nodKZ4IHg8qx7lKLXBiPlD cGkkAJiMbz5ZKbdBw7m6puYLAXDn++mE0Yc22B+wW82YPgDEAljPd9ba4Phc X411gT+0cvbCg2c2ODc/mX3YwB/My9P3p7TYYE+Lkssaoz/Mnnak3nxhgw0c UfmGz/0gcFC406mbNk/7C8KTwv1g7+Wf2Vo9NqgaEBeqYuIH95ifXJPos8Fj oVJnhoX8QCUrQH//oA3aazeWrdP5Qa+UhtDGiA2Kp1UuyY+R4Vw328a3cRvU DRX9d7KTDOuE/o+vpmn9Ybv/Lf4RGRL+ZlU8mrNBwWqpQboCMhyNcwlL/2WD I3+cP8jfIUO9oJhd4JINSt2S8PyVSAb9Z3+kz63ZoM/D/AM/4skwYdSwQ5/O Fulu3qsYp9l9v4d8k95iiz6f3hkUpZFhR4BOw0FWW3SdPMOxnkuGPM49yQzs tljhmrD6uIIM5YWN+0z22mLH5+9LfM1keCJ1Pr3ggC1+yXl+nauPDG2tHDx/ eG1xa4/wMbc5Mrw1asxWF7TFOi0BvbmtfjA0eu5IiogtDixGlbsJ/f/9Fkfh pLgtOktdFnuh4Qfrt87dC1ewRaejukoXkvxg6yEO0U8qtji9/9X3y8/8gKO8 4cExdVu88p9AV9eUH4h0767p0rfFsaUiumU1Wr+YG5pYibbowuRi8IAzAJxS SKo2F2zxm//hoAD9ALgkuLv9vrst9ut25FMiAyD0NOml7nVavWqNl6ToA+Gh /66+uDhbHPmx7cbBkEDY8Zf4g+OpLb4mHXkmUxgEXOHsbs5NtjhfeXbtVXcQ CHDWU6rbbFHrgxzdt19BoCjF/sf0La1+2QfkBNVgOOfxdCN1wha/Sjf2l04F Q+v0zr0H2eywg5Hy8dXZUPAZqFURcLbDP/ITr8ZsIyAXjwcdOG+Hegz/Xc2J i4Du0qw29kt2GP/PhtTVEgE810M116/ZYd5szxd7oUhoOWBs/DHaDqdYBqOf L0UCq828S8QjOyzRZmz3rYgGqTZCqV+dHT6+JF91YyoabE/0zXg12OHRSTr7 f3wxULlW70HosMNPh3sPxCbHgGlm5HWFITu8LFXExBQaC9kjArdm6e2RVU19 Sco/DjrPpPWMMdvj1vS58zItcfCzgpVjYLs9Lqx8aRtiiAc1/1+p7Zz2+Ki8 OJEnOh6+8zbnZonYo9CkMet5wwQ4SbCuMTCyx8R6xQuTvolg3fVm6Yy5PZp1 i5m25SRCqISqgpKNPW7q22ezdSZCP51wk7CLPbp93txY3JcEN/IWO+mv2+P3 lwzemg1J0D6e8Lk61x5PqFgHKvMlg7/4CdHEInskm7ty/aeXDPI3XpDdy+yx yoq9pvpmMpTvXj0kUmOPPaxx5JChZEhGZ0J2pz2OV4un5eSkgH7sv6qbr+1x lPf1eExvCrAMpNFbvbfHdQP2cmHmVCB7vM7f89ke2XPvzYd5pAIxW2YykmKP z6Ekw1AnDXhnemRIv+3x3KDpDbXQNBiQcQ1XW7ZHE9bfKzub0kD3TfaxDXoH NBaNF1CVvgPS61tdvTgdMPuM3YPXJ9KByXqIYqfkgK3/fSxs0suApiJvOKXq gHJTD7Sc0zLA9xdbAtdZB/zExvXPejwD5iLVTn4wcECvfq1Md3Im9NWVe2k6 O+BTGRvPy61ZEMeo0X70vAP6X6AN5v5s0DQY28t4yQFviuQ9EffIhoYpztrG aw4YNHbmMrNADhRyBixLRjvg75YA/x1GubT/5wNau+Id0IdtqTA5JBe4KqrT 5287YKg2Uy7W5UKs+nfF0iwHpI4cSJPgzwNvLyO/Qw8dsCZGovPd1nwQb559 s/rYARMuBE6+V8+H76zhvAP1DujaWq/mFJIPtvn1zUntDrh1YeXqtS0FoP5e gIFlwAE179qUh/MVwlXOvH/6Iw7YcKc4KdOzEIqteFdSxh3whcc2ZYOOQtg6 zvVTYN4BuUJvfuXyLQJ5odRZ1wUHtJ9s203+WATnXfdMP/zrgJYVHtGcssXg ssJM5aMnoADFU6qAvgT8M164tTESkDf7AGHNrQRSlUNnSMwEvGx5M9dkuAQ6 guinKrYTsFBwfXGxsxSEWdeHT+0j4GrI2SvtQ2WA5fXWX7kIeDrloH3Lpftg qX99IPggAS2Yl7NObi2HqKSlDy8PE7A4eo4gZ1AB+dKPjS4JEJCVJ/F120YF 1Pd79ewSIuBJdvbztbUPYIb7V7fFCQJeHHv+ie9IFTA0VmquiRGQcuKSfVpM FRx0cO/IliDgPoKcZeZaFegWzD6flCFgtPje94yUh0A8UwZR8gSs6GmiWno+ AvL0+UbRUwRMPnv0peD6I6g4MfXECwnYxbApEX28BjreFMruVyPg0ULCI/+e Gvji4VxTf4aAB5QnOAv8H8PSbn5Je00CVqfutH4nXwtsNaOV9DoEfAsef/5s 1IKQeY5YkR4BwzqSY/b31gEs293XNCSgYoWniFn1E7is9Lk43oyAgkrhYhJF 9RD5JV1QypKA90p+uOQ9eQa5gZb5/dYE9NzTKDHytQGe8O8/fMOOQLvP7Npy n6cJ3rd/zDpEIKDvIYbLdJ7NMENKPvjciaZHdmOov0cLMGwzSSe6EHDi0hdz f+nnIKn3Lvm+K81uVSpQP98K2tQ4DoNLBFS5+OfjxLc2cE7US1jwIGAnb+DV WWo7kKV2sKVeIWCOW9NM3q4OSP7YHaNwlYDhP+NOrGl2QrlP1LYRHwJaX6ng 4MnogvYDmhGBNwi4WL6lRH9bNyzavQjuDCCgRMuU9lb1N8BGF0p3MZiA8Dqg jmNfDwjln/ZnCyMgUXWhIiviHaio068/jCCgxq9qdfv092A+1XzdLJqANUez BDaf94J7pP/f5VjafDTI+2sx9kHEceWrmfEELKn5nM3l8BGeuNdfnkgm4P4w P8NflwbAwc/urVUaAa8sf6z0Yx4C5lg60XfpBNz+yrfsccNneHC3IOpsJgEt X49+3JE0Amb3zk43ZBMQRTJPvI/4Cut1P9Sl8gg40jqQGt0zCoUdsfn3CghI 0n4urzk3BgsTvXappQSU7h3cwWH1DdIXrj7bcZ+ADRcjJaglk4D0Bw6EVND6 zXs2ZtuWaYjndejzeETjO8nPvu3zD5AVY5CcqqHZhTi0Pc/Qnl9PFcXb1hGw t7v7gWXWHIRpa873PqX1Q3mEPNs9D6JWs9paDQT83LvT0KqSAh/OxZU2NxFQ hPpVK1COCjeunWSWfU7Ap2MnDCu8qcAf1udc3kbAjtI7454xVHh52+c5fwcB 9YWU383fpsLlfG6+9C4CxgYNbalLowLXw0Yy+yva+nRhkcF0KjQ3E4bC3hBw B3FFUimDCqS3jPLrPbR5G17TEsmkws6R4pQrvQSMSauta/j/912zWr+/9xFw cIRBZUsWFWxX5wwdPtHmmTkzewcNM25LePBxkIDqRhn8Q7T1ZfuldugO0/Jn HgnyomFjof4LrV9o9Wvq6o/Q8q1IX++UHyPg8Ue2ygdpOFeN52jlBAE/EENM JO5SQcO4OfjoFAELIjmZ+Wh8KQSn0YzvBIwXyzP8Qasn1WOLCscsAbVFxccS Uqmg7F+aETlPwA0lS+b9KVT4FquzskElIPWleB+ZpkdsBsX86gIBH9ZHC7Ul UmHoiTSH01/avA16T/y+RYWgzk8eAysE9FazlfxK01O4/8Yb/XXafj91/nN5 FBV8frdEnqJ3RB6PR93UUCrwMhCnHjI64t/3Opwu///ea9dWdWFmR+Qys/7U EECFveJ6m3u3O+LTx5wye25Q4ZnST9uYnY5YtLLParcPFZx0btfT73LExwfE t/3yosLD84NXKXsdcXSbwEOTS1Sw9CF/IO53xIFYm88fL1CBLpzv5OcDjnjc e2ldjkQF/QKXuU5eR5Q6gVJ37amw9JBFW+WII6q94j2Vbk2FrJb7JTUCtPih Y0LXzKkwN/LLKU/YEXXUrph26lEhist/8IakI3YoVic8VqSCW0HSDiEZR7wh PxHKL0OLL14C7+Vo+Y7W2jv+R6tH/V3RMWVHzP+bpGIkQIVsD/4rfRqO+OLN 2bJRFioErsoWBWg7ovvi+Jc2eio4h+kMHNdzxEtHb773XKWAcIa3SpCxI6rG HHI6PkuBRx0drOJ2jhjnYLe2+JICyUaflQcdaPF4WT7te04Bn2Hq5VAnRwzK qapcq6OA0gLXp6FzjrhwUMuErYgCnYcuFkRcccQ9dV5jamQKlJUG9EtedcTy VvuVy54UiJVK3vbFxxG71cs+2JIoYKzV6CHtR+tXzoOv7gYUGPZmVxqLcER7 rtbjnrwUaNoU8IiNdkRBzV2TkbspkBctny93yxE/ErmKbZkoQMp1ZIlLckT9 6a/Ncj/m4der6j7FLEcUSb6V86xyHpgFLC8lP3LEqmM7I3kk5uF7hVsuPHbE D3c8LTZ55+GVfNCHmTpHjC+vuJ+3cx4S9MsUVBsdkY0kJHVsZg4O3ljfQul0 xMBpfQHN3DmQeJ+brTHiiF5hz0ui6efg85suy6mvtHnq8NxyaH4Wwrt/coSN O2L1d9MTfgOzMNyGEa3TtHpKHmuUPZiFyNpRD+UFR8wT4xd+ZzkLoxmHVaW2 OuH7KxvHdhbNQAIpd4L3pBNmxzYPrvP/gJ9rOcJLoU5I3nzb/PbjJBx3KW89 F+GEg5ciz2xvmATi2ye2g1FO6Pz+UqJ8/iQM5L5PaIhzwo2vT4xc3Ceh5Qzj SvAdJ/R60fx8C/MkxMeTXrKXO+Fk4vUEbclvIC4g5irywQm5c3Tyff3G4Xys AlPGRycsuPNwR4DjOOQvnsneMeCEi6wdX93PjMO+Lvte6rATpmv9+MGycxw2 3BIUa6ec8M+Dn9NcGWPwpvY3q9qqE07sQNb/Ho2Cm3b9fdsjzqg1VKLAFj8C Y//JH2QUdEbjDeLyPa0RMOesjb4n5IxpfPUjQ4wjoDr68MLSCWesKefp+XVt GPZdu3csQdYZ3Yd+WRdbfIaWvDsFbTrOeKL95704ukGQidi3x1XfGdXD6AWO VA9AmVty8C4jZ/TyfvNiv8sApMglONqZ0/x3N+gJdH4C1zcRfH8JzrhL9GW4 fkg/7F25lnH8mjNmMF1kahv4AFFf/rC+93XGsPv8JVMBH2Cj7coNn5vOeHTn swcyQh/gR5y7VXugM7YFs+zWvtwLTYKk/fYxzrhjVU6IZfUdnDc0u52Y64xs IVfkDne8ghGZDwzyBbR8Qmp6pcvdYHzQ6MqXIme8Nl+Ymy7SDcpTukYn7jvj mSlDC8aILuAgq7O/eOyMVNL05UnJF9BYIhWz3O2M9391LFxabIDWlZQhzzfO OMlYtVTr9gw6dJZFZnuc8duLqrXQ70/hLbWha6SPZh+87lD2qxZ6Vfm4LD45 4yPbbh6poMfQfzvo3LtBZxT/0kPMOEC7X8mdZW774oxq1VRPJteHMB5VaqY0 5oyN1xlvxghWwdRn1qLHE86I9i6hXwcrYEbs0h/xKWecGqCPexh5H6gBPWql 352RLoK7K9fiHvx5f/L2kVlnLB0WWL2kWQLLAsnjd+edsaBtS7WHbRGsX106 ufenM2ZOpFECkwuArssy6NaCM7IsPM6c/5kHTNzP3jEvOmN8q1WFl2cusLgd Ohz41xlzhYZSyMezYUdTgMfKijP+JT/m/P44A3bvGm+6su6M5V/HUpOC0mGf kzrb3IYzbg08tEsqKg24a4rtXOiJaK5FiNrSlQK8zNsqvjASMVTxmgaLQjLw W15ct2Amogwj0Vj8UxIIlb3Rec9CxN3X63ljshLh+Pp/GdrbiXjs0vWfVyMS QFw/aaZtJxHLbSb1zxyJB6ncPwrKu4h4fK+EiLXrLZBfMI+q5SAiXx5unpqI ASX1pwP/cRLxdBz7xoewaMDUg8L39hORiWMk+ZNuFKh/9/Ph5yYi63XP+7VS kaCpONqRwUPE1chU8UjZCNCNPb2Pk4+IdYmj8NsoHAy/FLrEHSFisDTPC56Q MDCT2Pp4qyARsyfN7JM7Q8E6+AJTkBARpSYqlNQPhYJ93yuTVWEiso9lg1Nw CDgJiRd4nSCioEp0i/NiMJB8ExbmxIho+37G5bd3MLh2L6iSJIhIvvFc8vtm ELjzmCV+lSQi/fFiJ5WUILjiXjdqKUPEo6Guibulg+BaywGJXjki6ujytaV9 DoQbHOQAHUUiOqusuB6KCQR/4pe37UpENFj0F2Q4HQjBtcirAkRUZHl4wm0z ACJYCi7VqRJx0zfwq3tEAMRab2mUUCei/RhhK//BAEgoP7ej7CwR0VG0quqp PyRvvLQR0CLibGHNC0snf7hjKHo/U4eIXboJ8hf2+kNmftwqpz4RM08kLUGP H+T++akVb0jE9g4dTc0kPyg8a5LOYkLEv3xGoSu2flB65/H3IDManxMrox/F /aB8Zr/8mgURH1gcM76w1Q+qlG5EeFsTcfl1XLbmFBlq4ob7521p2PZnya5X ZHg6qiJ0zoGIPatuxS6PydAkmXd11JGIAnZ1JQuFZGgNZXxhRaThAYn759PJ 0NHvsvcDiYj+myZG/klk6Bbucta9QMSc3WwPqPFkSJ1TVnx6kabn+OHei4lk cK6q3iXkTptXOG1QkEoGCW+R6aTLRPx0z0TVOYcM63I5jZtXiHhgaFvBjftk eLm2N9ntKhH1LvJ/aKinxWuOdh30IWLnaSuzzddkcAqhUz17g6bvhng/9zgZ /tO4tr+aTMSdDBxRMyu0eKxz83wBRCyWVPmqs9cPut46tscGEfHk0sBBvpN+ 4GSu50kKJyLkM6kUevqBOHebxodIIkZr3cnnS/GDtRF5XowhYrqn0+ucej9I dhF8dSCBiHY/Xrsbb/cHgsjdvPAkmn5BozttZP1BbJ7d93cyEZtzYtP3OPtD h/ea4Jv0//Op1DR47g8rIb3+gQVEFH/vq6EdHwAdGppm80VEpHQsZx/uCICk 7U0nrEuJuPBIjyq9EQCit+8NSFUQ8Tth3/yifCDY5wdKTtcScey/Z/NG1YFw nLTEYvqUth9Hoq5KfwiEvyJuX1ueEXGx1ykk+XcgJDy0iL3bQsRtK/tPtsoE QVuL+JReNxHDz/jwRjcHgfDX4fSaESKuDKmL8E4Hw6+DCvTBTC64SL+56RgQ Bss2hysEtrqgfciXzpHKMKDL3Gr1YpsLfpfIhe7RMNjF01/Fwu6CN3Yw3v+r Fg4SPF6E+AMuWHHr4modewRc5qlozhR3waldcQsljZHga5t8UeWkCxpwCZ5L W4yEwMyb+0elXLCrnc+GRTwKEni0PQQUXJB/uuL41dwoqOKZ5i1Tc8EPB4qY ymKigcpzxL/O0gXPXnppLOMXC0u2LMetbFzwlXJUA09TLGxkUj+u2rngi4uP yMWbscB2qElMxdkFSz++bb0fegvED9mMtF9yQQLR9uer1DhwP5Si1Bvsgu6x X6z2eiTANTvyd68wF2zvvVhnlJIA/lnOyZyRLuj8cKVr9VkCxB2SnLO85YLs Bjx377AmwoNDPRlf01zQ2JNvUbUiEeYPbVubK6fZl6r5gllvQ2h3X7hjpQsm Wj00CJW5Ddw+uRz9D12QO1tZbJvjbdB8J3e8udYFN66EVhU/vQ2FwSSrxBYX VGvycA7zTAab6bY6mT4XTC0Zy+rcSIGF2/FqZf0ueO4Z86i/VCpEok0P76AL rsX25CycT4Xa9IWprV9ccO501lH+/lTg0D2yb2jaBfPL1VP+q0+Dl1X+3v5r Lvg88+jXEw/SgWCnTff7nwvypT2y1v2VDkvb9sWeoyOhscXzkVsyd0HQuaLA cAsJHc5fy0h9fhcCOYd7+dlJqLZC3tL5PQP2t5bYp+0m4d/Pf88tymTCA3ev me17SSj4u+5WcmgmDHeyMixykdCne/mDmVAWyN1QONnJT8JX7y74Wvplw1uh LY2njtLyebTu8/+UDcQP7zSrjpHw8aFa9zCpHEgSPU9IFyXh58e4J/BXDlC+ pMZflCWh6K5Z/ty2XAiLcTo4Kk/C8SJzibMrucAjL15ieoqEkWEj9BISeaCd +KJJGUm4EJQlypCfB0Vqf+bZtUnoHC3WK5+WD75uJw2e6pIwiBryhe9LPmin uFc5GZBQjN2KjetYAVCmvl95bErCKwxNjIXNBdDCLtRnb0FCzlT1FA/2QkiS d5ZhsSahe9efxAbHQpCNHvlr7UDC//5daSCwFQFLNbcVkxMJY0jnZekuFMHQ Z4v6CiJNv+e4+KijCALEesl0riTsTJmV2Iwphq53HfTF3jQ9F54dqVYrhbsr jM4GPiSUnmqwsWwoBTd+1fbl6ySMms28/FrhHuz2fhauE0DCXc12KVbqZfAt c3n6TxAJsyWDvQ/1lkHtCxmt7FASVnJSi5hJ98F6f9X2X1EktGBNKVvIKwdR nHe7G0vjI/LD96t2BWycP/5WLZ6Ekv7/ijvWKqCgvjAhNZnGv1Ao4r1PJVyb GPsFaSQUDv+sfoi/CjR38Jn8SCdh+rbth1JuVcGcXTqnUg5N7zmLlrmrD6Ep vP/aZB4Jh44d+vnw90NIqNwzEFdIQgGKb0y47yNwGjBUkC8hYYD5bMEaUzXI 0MfdHbtHQoXfwgL306uB5firtehyEua4H3h5Wq4GhoxZ7KQrSejl6SJ+80sN +BcG80XUkHD3prA1r14tGL5pDpSoI+EZ9f39hH11wL+0Pjb4lKZfl9rx1bk6 +MOrqBbSQMKOPdupe3uf0M5fn0LRZhImP9/nsdzxFO5crtnS/5ym50b8+rY3 9eCa/osU0E5CT5Xdiv2Tz4B99qJI70sSzjDR+YSZN8H4nnvRN1/T9N0R8L8K zjyeiveL40m0o8VaZE0pLVoocU5SSaS0KynK3Dv3zkUpZF+TypZ9q+xfFbIU JVokEYVIhOyy3GmxROg3vz/frzPPPOd8Puc8r+c1f8x345wSyNvRM6D8wRrN I0diD4S9AL8LSsbVNdboV/fdaNj8JZwIPJvp8Inpf9X/9Liar0DtSbyowmdr zNl0XnSd4muYbGuyrfhijQtdEtRqV5TC3Y1HN8m2WePOmtm7v5qVwUWz0LCy dqb+weK5W+Legr73hxGbLmsclsx6d+pPOUg8WHBcutcaU6fz/z6xq4Dvn/YV vPpujYuLPk60z3sPRVN+0txBa/zAt/uaVFYFgStLr4rT1ugboqw0kfYBNBx1 dVjD1iifHT+lMlwDtxeedesatUZRcrf3v0V1MJzoWXJ23BrZKcPjyns+wVGt pBktf63xjVZK0srQenhcVbrz5LQ1/ojSr0sYawBJqx6v+hkEdp1vk1B3bATH P7NLDwkSuG5Z5x0b8SbQVtq/x3AOgakJDqx9D1ogroB7rWwegdd99Txz0ttg 2jiwXG8hgfF+xUEpnd/ghWONofZiJl543Dt1aycoiPy+8WQpgWaik5FLrnaB V9LSqk2SBPocecbKquoG/erjJmuXE+h9jSyVjeuDFCun4HQ5AmNc1DSvLewH 4fGYGmUFAn9GpuS9cBoAIrBo8T0lAjek//RX+TgI5Uqth2VXElhxdOxk8egQ rC78Fxa9isD+0R37flbxIeCAQoP4GgKPNGu1m++lYbBTTzJUncDR9Z8cxJ1p MHY6f0JkA4EPBPVdvt6iIVPELzpAg8Dhzc9+j4XRIJac1iS8hcDpEisjgyga 7La9W+atydS7LtRSK4aG2ur+0/+2Eag0cuKOWywNm84vSHDeQaBE+rLWo3E0 hI2rt43pEii3abZBA8MjgSby9jsJjNvrZbgwnoZjynbnfuxi3j9fSG4Ww08K QxO5ewi8GvCv5CXzvJRJXmefAYG3TJpz9zPs1FWvfGE/gQ50yPlUZr8mp7EL 7cYEnpt37EI9k4+2qHSa+UECM6SkkpqjaYhL3t73xZRADSvC8RmT//S206uP HSXQeklA9ZVIGiw+uJK1xwkMHr24RzSChhfn79w/YEZgNlEu58fUrzjxYrDi NIEJftInv4bS4B3Uob7XgsBnGy3LFofQ0KU8y+b1OQLpw8pz1IJo2P1UJRvO M3qXC0UpMnqmmuz9+cyawKjGL1WTATSwrgZcyuMQ6GLiOnLMj4Z3og/yNvAI XCqbJ/bZmwa1lKqRB7YE9hj+Wr3Nk4ahD2KOKZcJPK9xrjCR8evABY1CBUcC 5Rf4ffzPkYbsicMT8VcJTOxwFAu9TMNFlUiXCHcCZ290z5tlQ0Pd04Lni70I lBIPNQzk0LD5YNN0oA+BOLnPcYygYfSqrOe16wRzHxNIsz5Lg/PHJF/H2wSq Dacr/WdCQ/LnRuO+cAIjv6jf1dxPQ3XrQokTUYy/h4vjEvcw+gw5pGrGE3jz vYHvfB0ayucavR1NJZBT1acuuYqGX2KeQdb/EXhW4VqsgyINy6QeH2+4T+Dr o5b7spbTwFsp35efTaAHtyr9nhgNS3cNz7n8lEDlWzd2u4/yQddwdU1XEYG/ /c7d9KP5QBw6E32khMCZ4+/vWfTx4alF+erNpcx+2TsjfL7w4axLnOHvKmbe /stqu1bI9L93zWKrjwQWlE2UzX/Eh9wA4ebaWgJXiBkFnk7ng3C0LSfnM4Gq ShujLSP48CBf/6ZdO4H6T/Le/7LhQ0OR05H2TgKdXhm++XCBD/9eZy4/1EPg h5y6wcun+GBaK/VwwwCBb5+Y8pbv4cMf/mAVPUygYOiYc4UUnznfFSIsxpj+ yFzxp28BH/ZPHTvzYZzA9dnJxdUz+JAw/yU/c5rAVt1jjXTvEOivChflzWHh qwCzmmu5Q8BbX/G5ZR4L5+W3/21LGYLIrf/uGC9kYffgQNq/yCHo12dvUF/M wp93RXZFOA9B8DmdQ4PLWJh0td9aFYegJaY7lFzPwvVbVLtXlQyCntzNDaIa LMzY3jr7/oNBSL2nUZ27mYVXfpGiv6IHwTbdfe7UNhZ+OPP4Xc2lQZj1WNoj SJ+FFU+XKfGVB2FNjTGVd5KFT0YOGJ1wHQCn2Y/3TnuzUNesvWIFc161Bpzu TvRjoWZ9kX7H8HfQExH03nudheKqL/x8vn6HBeIHi4MDWfhWep4B5/53uKvY v1kpmoUO0p+6P+39Dm915BQNMll4w+XdsUTnPhC395sMaWRhoJwp16G2B+ac X3R1bjMLxWbja9HCHpg8HDfm0cLCCXE31ag7PdC1KeeXTQcLD5kHBjhxeyDv d0uf8SALO6MqQz2EesD00pb6uTPYqPSJsk3e3A1BF7seeqqy0c5kQV2eXyd4 WdqsGV/NxsDdTb91OZ1wxXQi3XYtG4uGbJ/nm3TCGQ2xZIuNbBy/uk+AJdUJ 635px+hoszEzZvmu+vQOeG9322/8ABvZQbWKV960w1w7PQu7K2x8LrKmb8en NtBq0c2RdWLjrjDRk44hbcDapy1U4cxGt8me8FMH2qBMYfN9RU82On7w+iL2 thW8alXG6m6wseuDr/pIbgtMbpobtPUeG2/XhrO5Ts2w5q5QR0cSG5/+Z5Q6 tb4ZzBbM3BKUysae/o+JC3qaoKBroqn3PhsXXVbvjTjYBJfDB1dGP2bjWpHE lBkrvgB/9EPx30o2Ejo+62QSGkDW6v2i9Go2cjqc4gYNG8DoQ/n5IzVsXN2m oTBrrB4y0l7Oe9jAxtiSylO/jeqBOJF77Ew7G+Xqa7dy6Dr4VhjBfzHK6Gnj bNU4vwZqXczl/BRIZHOSG3R13kCFGfVHRZlEZcfyt0tYpfBSy7X2zUoSF7AM j54PfQ3Zw3F+QmtJrBJOqbrc8xICuV/5PltJ1L0p6pWk9hz8DAfLlbeRuHKx 6sLI68/AddVkYqk2iXtPvle+MVQI3K5lx2ftJLFYtTll27vHsP/0qRLv/SQG JIXe7hvJBr3tnGilAyQKiHe3aulnwXYp50uvD5Lo7Bwswi96ABqjAcZWh0n8 MnJlTcSJDFD7FKMqeIzE9rwv5S7S6aCYkyGQdILES/Lz0+wFUkE6+Gmz3ikS FzWkhj9blAxivIr8DnMSH7cn2XYZJsIco6Ygr7Mk7jhytKriwV2YodbPVrQi 0WxGv58SlQBjsyd2vbpA4mRZvs65qljgd8+Vs2SRKMpWtZe8Eg09r6X/CHBI NG41jlGzjITWe6tr71Ekxtq0/eu5EQ717tse7LQlcY2gfqHx0G14b77Pr/0i iZa/59ebeYRCqfbJs56XSZRyr4vShRAokmZvV3Ak0aHnkpC/cjDkjjkufXmV xNIFDVoexwIho96ff9aVxEZ+szAdfxMSc6PKZ3iQKN0i6RUqeQNiQtIT73ox +zsabLtfdB1CbApc0JfEM/96P9pc8wd/4/Jj366R6F0eM+/3xWvgsaZxg0cA iWrB+upznP3AcW7fPPlbJB5ZU+SiGucLNr1jXSVBjJ93vr8/UucD1m9ml1iE kpj6asWXOXI+cCZJMvpfGImmhkL+sle94Zin6qU7kSS6hX8+8LzbC4wtNI0h hvHnq/rRoxZeoK+zV7UtjkQ5XMu/3u0JO5YdF3C/w/gl+36duoMnbB63bpZL JHFqodApzSWesObzlfziZBJvmd4If1HgAYr5fkFn0pj9v+yq+2vtATK3I9jT /5FoF/3nnYasByy2S92V8IDEifvW2r757jDX5LGsbhaJ5//q79DQdYcZ6mVj LY9I7E3/RFyoc4M/8xpqXPMYvRvcLm6wd4Mffd33ZZ+Q+KRSWPrZCjfoLRvx fV7I9J/7/nKsd4XWZKGz5kXM+qnKZSJhrtDgJb59qpjEA+qBs91PuUL1WZWl 8S9JdKma3D2l5gplulv4O0pJ3JpcTU8LuELx8t3lX8tI3F50REfomwvkTxxJ dHlHIutlpGVsqQvs2L3vNF1Jopayd3BYtgu8CtKRsKwmcYMWsS38ngsYNG38 +OkjiccfO642jXSBauWVAXvrSDTP9y/1DXGBIzYy+k/rSXyzcY/2/7+fNReK TK9tJLHn29mlpqEuYDlLsOBOE4l5X29MXo5ygb4DY3aLW0hcEvqzbGWiC/Ci B9b4tpFobaNetinLBUY627rH2klsDYkUsilxAZd1n+6QXSSmuLKIzFoXmOlU frKlh8SctOCgd30u4P+6aMnB70w/Wbh2xDL1ioo8qno1QCIEtkrPlHWF5UnR O9N/kPgw47nsAkavxKFbf2V+k7glSEz7sqsrrNbyyr81wug1W37J1D1X2FpF rr40wZxHNe8fzv7pCkWSFp3dkyTedtZWNF/mBrssD8ef+Mf0a8tWfYe9bnBw THuR7iwOzpD/bvww2Q0adm6ozBbmoGzzr++p9W5gflPZV2kuB/0yw03k57gD qbBwfI4IB0tPFlWdsHMHn/2t3+okOSi9Zqfci9UeMC+iNmaPDAcHDp7M9tvr ASHfyo4ULueg5J630y0XPCDhclZ5ggIHW5JDlq5P9oCCOx7Z7DUc3MSa7zy6 0hMGfyt6/NPl4LmPoyaxel5wUVdy+8WdHISXKZrjhBeM+88f7trFwZn2i58V 3/ICYblhosKAg7Y7xX87N3mBvMEbk3BTDnooDBunOHrD4ThixRprDtrYbB/a +tYHllpVZdayOPg88lE5e9QHGlZv0r3K4eDuA/rDC1f6gtmT6dPvbDmY592F 9/18wbI2PIZw5uD+RKB3G/uB7ZxS8eRgRh9F0ir+xzXQ+LA6Zf9tDg7adIet U/WH4fCgzb/DORiTvmql7hl/cFA6dVgvloMZz5KzWqr8wU33V/C3FA5u7Jhq 2Zd7HW7Zyy+QfcZBxzHvzeeibsABbb/Y0uccPJWguuHe5xsgNnNQjfuCg0fP 7TV1lbwJYUFP9j17w0FNCbprSfRNiMs4cO3kRw5OmTS4CybfgoxvLjMjujko k/Vbwrk5CLhpHSE6fRzsvRm8pG9xMKzjGSh093MwtIfY7qQVDI/+LsHNP5j8 Jf66f/YJhgKJ+661ExwszjH591wxBN4affkjIsbFZ5aaing5FKQ8lFjXF3Nx 2Rdx8+8JocDKpT4LinNxjvP2UyLvQmGezMzHf6S56C6H6g1yt8GoV+1ShxIX 6+TDL2R8vA21ni5D+ZpcXJglt1z5YDgo5Zed3rCdi2vjssJ/e4WDfZ/Y+4wd XFzc11Zw6XE4iJukZNzZycVbcb6CkSsi4MTyauL6fi6u2tYQTE9EQOvjFR2n LbjYESHwL6QpCtb3sw99PsdF/paPrz7JRIOHbN6LQ+e5uPf57VKl09Gg4GNw Zw+bi1v0ZTSFO6Lh/CG70xsucXH+6v3mFX9jIN/nWWXGZS4WeG2OObU7FoQL hLRVHLm4RjxsGoNjIU0uRlrGlYsCPYrtm9TioH/gVYPgNS4KHrv2U9g2HrRX LNzjdp2LpSkOad5v4uGm6fH8PzeYeuaNeBQuTwD1woHbQ8FctPz7ZmPQxwSw 9Vt66HMMF/1N60XaVe/Cy8IzLw7Fc/FgSEutndldWDyUvv79HS4qm4VdWBV4 F3IP64i8TOai3c8iyS3jd2FU3royI5OLbz1mbt3Ydg9Ey16/lHrERSkNlTqZ ZYmwiqNQ4JfLxbPN/nHXTiSCWf7XZMsCLlYdU5Re15gIJfsOu8m84mLxqta+ nMEkaORn2/uXctFJQuBOwdZk+HVbhDNaxvg1Q6i23SsZlFvfHa+t5OIJu8Ec YcUU8L+IGwPquTg7N3prvVsq3JNMUP3zmYvT39SyVFtS4WnRX1nrJi5eMdLz S9BNg0HhJ/P02rhY+6p2Sdr8dBB6sFQgu52LN3P3R4U7pIPcoYtjsl2Mn2kb f57vTYdDsepd431c1FgpZ+1T9x+QeKOJGOBihJF4icnBDPDp7vtYP8TF6smH n37UZMDj9cnPH/3iItXm+q6t6z7IlMpEsie5yBXQftVmmgmb2I63Pk9z0YT1 RCPzXyYYiTR47xagsD5KsMQ0LwvcToTYKghTKDGsIBgbmw2RU3zroDkUJg3o VJoIPoLsRCPzqXkUvn/KK5WxfQSdg7MNv4hSuGXp0RsXzHJgMuQC7l1MoUCY UHVuYw5IaL7emr+UwlusH9M55rlg4OmmFCJN4U1hp7gq1zw4t/Kr9L9lFOrv NKsRksmHq5XbxCg5CtOluJfUS/LhgfjIpIEShazdHa9kVZ/Am6emvx+rUKhg QC5zGHgCrRbZ35VXUWjQmvCt41kB/Jkl8i1UjcKi1t4jp6ILYVEGp2GGOoVS jX9G+32egprJu/e89RTG8bYceOr+DPSHV77+upHCtSNCXUI3iuCKbkdWwVYK 53D3rU5tLIagTkhduY3CujtxjnNEX0C6f3xcmDaFgqKWt8Sfv4CX6n9DZ+pS aLrRbT7P4SU01Z64bov/Xx8vIQOv4LfDY/dWPQp9voVnaYq/hgWyS68Y7Wby WxO+e3riNQDxwXKVIYXVI+bnWifeQJh/wrpKIwrB+m6x1Ma30PcfNUGZUJgb I+fT6VEOOyp3lImZUvg0Xtjbe/AdBA/OD809QmGfiKCNzZVK6FrYbH7sOIVa O6wPGSlUwbb1GavHT1K4I/W6PZ+uhg47g5e6FhTWijVvs/Sqga23JW+1n6Pw XKJH5Nv0WriR13PC5zyFOkrcw0m9zP2/Pl9ZlaCwRG1/bxXWw+Yxnx/v2BSa GW39q/64AfyljhRxuRTK9/rb5+xrhJZtSv6iNhRm8Q6vN5z6An4uL1cctadw 78pAJaX3LdAUHzwwdoXxs/BhWkl/G6wvsXgS40ThjNE58WOS7dAoMH3gmxuF msvHVRSiOmGtUpWMtyeFxawpC4mRLvDUj+tR8aEw6ubPq2FWPaB2bbsb5zqF NZsGT/+w/g5u6XMNRW5SeGqXj7jSUD/UvWsUfxRI4fG3K7ukrAZh1UBa++EQ Cu9GfTw2K3MIXBY4PBy9TeFzVSfNrnQ+fFTf4xQdQaFRSmFc8XYaVEzEd++I pjBxs9PkEUcartp2ibXFUrgu7cm5kFs0VIfkfvVMoFAjWLRZLpwGxVyvdOV7 FCquHn/gGUWDw6dD9m+TGP3vnWy7FEPD+xF5JFMpXNDjY5IfS4O85I/5C/9j 5qHg8GHPOBrstUo+Z92nMD/6t/MPht+dDEwyzaTw0Jn3Pf//35ics7nNSDaF oSGSDoNM/GLcWu2oXApVBiVzAhgue/5XWPsxhSlh79x+Mu9f1lZR21LAzPPx L4EqDNvOiEnweMbkJyuSpsbkU6rAJpWKmf6xGq8SjKZBapfW1rIXFH61lKdy I2mgzs+eyX5NoXCWgK92BA2vfBuq5pdR6GIvfTc+jAaJtJTozHJmngaSpppC aSDL7S8cqqTwTMWniOFgGkq+79o4XEVhi0aX2kAgDay1HeXb6igc3zLX0C6A hiLjR2Ff6xk/Fi90FPCnYZGNx1n3RgpX0SsHbXxpePpI7k9pC+MnUePe606D SN3Qa+IbhVVqjpwfLjRYDRcFzeuk0GpWr/RnJxoWaJ5SPdjHzNf0T/sdl2g4 UxR5rPkXE/c7Fm52ngY9w/0zD41QGHG3o/TmWcbfxumHZWPMPIQ8fhZ/mmbu XxeEciYpXHns4aeTR2j44Cn9SPUfwxXUR8GDNOSIVp2OF+DhviL5XQH7aXBa sznPX5iHM9dNSKjp0XC6sNdieg4PU33vaejp0IB7Y+fbz+eh9qoarc1aNAhb zbSyEONhsJXKwSR1GsJiPi7aKsPDkaPTx2MkaHBc5fP8/nIe7hKu8OOJ0XDq sSZbYQUP15dVLpKcx/RXbcKLBco8bL15kdMxyYfsuZRNpzoPuzdJZRz4xoew SPllJzfwcAd9WyenkQ8OKp/KqjV4WHU5MbvrIx90d2rLPdXk4auaG2m5L/hQ 6Ti3KngnDzO7y9v74vmQKfzcUVifh29/L7HMCeNDaJitssseHs4zPbNszw0+ nMj+7Ezs5+GjrGfGFQ586OlNUdM9ysOnxg4vth3gQ8Xlkw25x3nomPJ1yGAX Hx4KLvRabcZDr7RszRVafLBfYf9lqQUPt0j6qsgr8GHmcT3/ARYP02MfOvB+ DEFP18imcxwelp2wOv6ocwjeXfyvrYHiodCWU3pPG4YgOFBM89VFHmrljR6X KxoC2bLW7igXHvbrqR/V8BkCrS3Ou/YE8/DwmvHvz+YOwXG4W/ojlIf3B87V Lv0zCFf2vdkdG85Dw5ip/HU9g5BrLmrwI4aHicG7FqS/HIR1fklGMSk8fLLi itiby4Og/LnyKP8pDz1U2Dqn6wZAzGk5K6Kbh/EqSmNaZD+s9975Hft4+EPx wk9D0344cMuaHOjn4YTbZeVt2/vhxr1sLv7gocmVX7YP5/aDcIW+Xf8ED6/O /DU1L+07TMpQV3XFbNDDxkBI82sf9BU9v9mz3QYl6o3kdDb3Amvc4tcEwx7n 5U5Qm3qhb8vME6LaNqjp4HYrXqMXejP3KGkxvCZ5oH9qQy/03P1QeJ3hnwE+ tsXqvdDl096zdocNDgvOStNV7YV2I6Gdl3Rs8KZl/WttmV44ez0t9RrDsG6D LUe6F7692bcgjuFXbBWpWCmGdQM/lzLc9/Cb2YQEwxskeRK6Npj/Jfl+wZJe aF26OraQYU3NJ1c3L+yFM4cqZ1QzHPGk+5vVAiZ+i7LuYFgiIU/v9vxeaBHO 2TgfbHDpsi3jP+f2wtc/28tPM1yzq3JjlnAvnN7Som7H8Mbzsy+3CjFxO/fb vgw3dPfkLmS4uf/1mUyG/QJClLmCvWCmal36iuFTXPNjsTN7oclqjtpnhv+u rfauEGDidzOCBhiuX9P1YHwGE/9qNPKPYePyOzWrGP4f2jh3zw== "]]}}, GraphicsComplexBox[CompressedData[" 1:eJwUmWc8lv8Xx41SIaSUJJUVUqnsdY7I3nu77T0qZfykjCKVZJVQysgmm7Jl z9sWskJ2iEj6+z+6Xtej6zvOOZ/3+3Wds3DVtCYjISHp2k9C8v/n/OqOsqxN rySh5U0ot5WRpGpf3cpywlGkIQ9OMBELB3wRQHXDnR13PcgWex4kwpE13dwX lpdQh8OVl+dtDkh+8tS4R8ePYaF5SRf+FkPC7YqsYX0RpIoU9254WQejCiPE P7KSuDuSFyY7NwvWSt6LFh1SSD+m8Lqvfhqkyjb3dbjIoKlNu8F0YC9QlYyT nBqXRSXJJQMG3y648FPORTxYAS8+Vbvxqr4NREuZqiTIlFFw8PGsGXUl5CiY cdS7quJAf4jkm/lEKKek2z3yWB2tvgdbqD3OBqaSlK+5tRp47L1jabJIMbAG /LlZxqiF/wSsY6IKasH06qHwIFtt/E/SeDfh1iwc4VZJqnurgwohQ4xRD36A q4Saq9OqLu7HYNZ66T6QiQniDbykj/IMmhqvcrqgjt73PcVDAwxf4ptjkmwH D7eL75V7DdHjvn/b4beV8I7haCQZrTHqfiofrPyRCB4DRZJsliZYMOmzsfUu G+omwr7mJ5hiJ/dN60TLYpDpYiM7OGCGbn8FROyaaqDEpcxtMpKAvmK6pPZ/ J+Exo++g91VzZD5UTHVKZR74uhLeyI2YI3zK2sgu6YOVP2+5NgItsDF61eB2 ahc4KZZlGJ+zxGc0nGv8n9uh/MO1J7+bLXG/5DUPhphqaOZqtFS2t0K5qeV9 ihWJ8POUCKn/PmsceVTn8jYmExZPH/qzkGmNlTdtTyXcLoJk6fVFWkUbzI/k buX4Wg1XPSUl7NZtME8k57+3p8fgv87Eh54RtmgR97mR7/UijLz+Hu5w2Q5t aWKXeEIGgMH90c6LATu06PoM/dREOHTzutnNu/Z4+Y1fRW1ABxB9TFgenXPA T1G9tSLBdVC4rf3ep8kBX7UHG5wvSQStONszF2wc8fnmzY95rRnQoDz4m4bO CV8NBxQHLhfCxlmblvRsJySlvt32ybYawLbDgkvRGYO9b4gVSfeD6eeXul9X ndH+yzmWGokVEBb4T1o2zAVfPjMo+uo7CLOfy59Oi7oi7+zka1phIgwNK//6 B664kLyvL/ssEVjEuOV+JpBjg5nOmqZhANjufCcvl2FBiWYan0ssccB1fdFk 3pEb73OwuDdcTANLJuIxtndXcGdlxJzxfj64voz9l1kgiD6KkexbARVQOaqC Cx1i+Jv+Y3rJnU7g8XR3dPNCTGLtfVs+tQ7dZCJbjGekMfft1aAJnmHgLF0g +/XhBgbJfS6LnSZCbE9kcQa/PLYrdtroaXbCVZ0rJyS+KCJPhljIYcYmcCct XyUVUUG+p0Xw0DUVInMq6X5VqeGo+nifAlcqOJl/dTLn1MBgi//YjL/mwZvT XSkCLpp402ZO96NPOVQZkpGdq9JCC7vkO+dMO6Dk4oVTKeQ6qO6lUiE/8gvw WvtjRgVdlO+lCTrIPwqGjvMqnmF6WHxf7nu6WDfs6/O3/TKoj+o81+wL7nXC m2qd99wXDXE3XYEk+00TUEufjT1/ywjnbvntv/IhFag3rX7QlxpjbfWLYMfL qfBmhO3ZPKkpvohsDQ5ay4N9hkNLJuJmSKl4RqviSDlkXZguuY0E7JJ5NPak thUSpJk5ciYJSLffzjGYuAHD7rTi40Hm+F2KN4r30TcIs0mYZLligd2C0p9z 1brhEttFB+5uC0yTTBA1e9EJx7buxvLctUSDQ5XneQKbQWb2ngcrkxUy2ckm FaplgOn7B1dniqxQ2YRXTf3wB1hmPudbrG+NveE0jt6bH6Ep19fd9481urDe ojg//AkWTGIYxN/a4KPYb2cWzZpBl/2m+Yq0LR75zXLM030TMgtlnt4ct0WG rXz1YYdx8DpQJLcbYIfVy6U5Tod74PmtqSy/8/b4mFhLnJ3ohKWNjoo/Lfa4 5X0wv/p7C9SJGRD87jjgUdH3V7Je5EKg0uhY9wlHpKp/TDNumQLP3M9Sn/7k iA/qmFtrAj/CaNGZCWMzJ3xz3GfuuegnYKpjemm/44Rmyj1KC0KN0P4if9jv jTPKRj/JDY7fgBbPQ21hUi4oFZf3KiVrAui8mO2iv7tgivv2dW37HhhX3i91 W8IV49kOn5bnJULFvtW1tYQ1IF39kW3DeAcM7XW8+1YZce1Zz48LR15CgX0J P+MKJ7Jw3Q0zvJ4CG02+G3fs+fC4w9n4yxEfQZc7hCvKQgCPXnz3pni9DPi4 KTysIkWx662ko99uI5w8Pam9FAeoNPf6jtq5TWD+YLAm4XEdnbPx8rO98ysQ WSW3oLqBDbOrJ27/7gYtWTHjyRA5rLOMXRuY7oRLiZ9rPnMqIsw8iTlMbAG9 EcfBt/HK6OkQ1nyCMh/e+9DGmjCqodp+nWulr5PhWNGdwtJ+dSzg6swo+5ML w3NiUmuMmjiTv9+U5XgZ/FzaLXV20kKSB2bMZpMNQMX3ui+6UBu/5Ac6s8Ru AFf24Zcu6zqoxGQf8Yh5Eqy0401vSemhiHjuVr97DyQJ7W9mD9THhJjj903o u+DKnD0r46ABalgFS/3WaIWawRSWMjYjvJOj11Fvnw+6FJ8rKK2MMWnf4zrT 2GSgNFq0DsozwXenyoS8Dn8EqzcC34OXTFHubHPnLGkZcFHuDIsdJ+D41ER+ 9L164DWYV1T4TEAONfUTyTbrkFdfT3nJxBz5sufV50WnYCz2rNS1AxbYSy8p HJe2V3/PbZpoMy1wh8KXboexC6revUqsVbLEyz07hOSNViBp1Pd7tmqJC82v 3bjfFEGkNXvLyTAr5Dmp4/VzIQncmLMq4y5Zo0TotXQX6lwwmqktFuixRtUS roNyv0qgsbOeNMXdBp3bP93ZPPsFZNr11HiZbfHvz5K5N5UrcEx6/eCdMlsM 7Rv7xKk+DRe6VJwLDOywU4lWx7i1FzRvC/QeIrHHK+9zRqtdumDn2qHngu/s 0V/X8U/yRhsoGRtVBig54KHLwhc3sz4Dc2KMVOqKA6YV/DE/fXtvfQfrGJLC HPHVnMz+BcgBop/PYqGQE5YPuRXtty6B4Ft4JaTXCQ0f0M78PF8Hj3yqz+i4 O2PQDanDkrQzEPm684gg015+BOtV/1OeBfb+Fp2lMhekO/+sOsOsD6YCx6d5 xV2xyOLpJsdVIsQxsQZVzFxA3Z2J5B6FTOh04LjWOXAVCwlh7ffiCyF4f1Zf HYUwfswzoqDxrwbVyKhD7lQSWHT+RBr9/UFoNPfItGeXQhLS8H7BM8sQYsr4 b61eGl8ydV/ePTIAr4RnSINlZDGjlSy28DQRJi2W6N1H5fEHa9N4kFEHCB5I cSy3VEK/iuGDnmxfIJyDhtqqRwVTZrzqnViSQOankHQ9vzpq3YqSY7iYAbXU UuyH7mjg0Zr+iYL5AiCo21B71moiZSy78cpwFTyv36/Yc1Qbb+7+q6LRGQCr C5/NCjV0cGbxlL70vp+gXxLqUxOvi0xPdyeMFQdBzV9EwvebHn5huzc5akQE K3eS/TaXDbDRrfzJo88dQBkjxSrmZ4j59PJHZ999Ad3MmBNRVUbopvWLjpkz CWpmDh87RWOCJafURbXEM+AKwbBATcMUK3fLUz9RFUISw/3fV0PMcCvl8BSz dRVcVemMzHAgYB5bXaHy+V44dknl3zEqc7wa+/jVPvFVoGDTd47MM8fggJsB 32mHAK+cfURpZIEiG2JVFaZEaCtao5TetsCGQwdqx8g6wU5dJ+JFgiVm3E9m jFyqh6CDic7FUlYo6j7pnVWXBFzfhmMKRqzQRb00VS49DVxOR4kT/a3xGWga 3mcoACFvkSsNrDaYuP/PuQO6lUC7BwvEJhtkuJxfXuBMBDvvkNsFjrbYeXJr kSZ7DWS4omhdDtohCxPZ+kjIMDRIsLDKZ+/lQ/OhD60TRGi9GfFoS9UeG+pF /Tf1O2GsNHqpasMead9xtqz8bATxU3qk99864NNFm31SV1NgYY31wT9JR+S4 sY8iZC4V0sd8yKK/O2K+nZWBZGw+zM3X9JEHOeF6Q1zMxdcVkMnwa0eezRkH 1lO9Bq53wPEPyTHZjc4olvVrps7vF5DpXQ+et3PB9/djUtsYR2GHydlbks4V E2ff09uc6YbRY9yxpZKuKHZXqvMOJxH+vgxQ2UqYhLHgFr7WNBvoOfNMYFLh OFLbHa3feRsJ3n9PJ1zK48D4owf1i4eTwFc6vV0y9jK6ah+YHcrMBcVbpBKP S/mxL+E4eZx9KdipWoQnbIigUC3/m+CgevC5Nnb0109J3Ok7bJYauAq4Ze+m znYdW3QqI0maJ2F7yz2QsVwGE6j9X0lm9MDl+6GX/gnIocPhzZklvi7gVfR/ 5dOvgKd/SGhof2sFeaXa1iU1ZbypUjHZWVECXJZCY0fqVFH8tcbxvNgksBur GbTOVceXacrs3qdy4T+NmzSaSxqof8EHG2NKgFLkL0PkdS0Eo/XCC8++AP9H Df7nodp4nXv0Sv27nxDnmBV/slkHj+2nEnZa/w5z8hs2yyf1UCL+wL5wmV5w t5P9T9tAHzn/6L1LMO0C793bFrQ5Bni/pTSg27ANmDkcCAE7hpjck3Lpy/VS 2Hlmm/ZIxBjDib/HZV4nQdVJTc3eEBPMmo+LsOPJhUi0JLxpMMXl6ceG6ykl YL1FsXyGlIB/8s58+eZWB6uTRJPoVAImhzq/MCJdhDeurLd65MxR4uqZY3cs ZyC4aMxVYtUcBXi/B9FG9kLVDfIt/1cW2B6u4Vq9t77jd9POhwlaYjHljkj8 jzYYFZKlqB21RP0t1ayijc9wWe7uiXwfK/x6MOFzK08S8DHfJjw/aY0bBy7r z6tmQ5K/jcGLKmsUaD/5oz2tGARDRjYNzWxQmrXcsEKnFsTYlGQVD9rit1CZ P7p/p6HxkHLDRoot/rZ1oed59wP2FZ188FzGDqO+ifw1JuuHgrWRWZUFO1xS bNo2LOsCfyLHZvcTewzpuzOh2dQOoU7DS4GCDqg/05bRnlwNs6qbN+lHHPAw Hvrv40giWBCjXtv+54jSM9rbY/9lgfIMz+0JNidUHW/fPnO2GCoVtHyZapyw /3Rg6MmMGpi4KV8taeaM4weds6uyv4HXBf6CYAoX5Bcpth6hXYBLjxKVXye7 oCzNu/Hoyn6YTugofSzmioZdDsonBYhgkR202pPGg9EGZ0CiMB1e1/xJ3BK/ ipln8m5fCSoAH1X2+RITIcwd5D/Uo1oFj0p/suc6iyPT8e/5Ij+7YWvhF9Vi O+KWl4zso0urkJ3L5UNxWxpbQlbnjb8Nwrff9v6SGzeQc/Kpns5/RKiMlfr+ /LE8SslsqyuRdwJ/tqPUvWNKGL2+5dml0gABEdb/8h6pICvZlhhpQDIETbVY J1CqI39ng1bpmzRgFAqVL1TRQLbOoid1w/nwryh2sO+VJsba/H5626sSUun2 pWz/0MIROLYcvEOE0Mzb5Vk8Otg+Up8u9WANWu9cCnC+rYtvL+k76d76Cj13 w2/8KdbDtRxZRaNaIvAnSxVF7TNA6pXY20/4OkE7S8niqp4hkrxTpnvT3QAf N40NTGOM0HPBZ2Bhj9dsXUt3oyeN8Wf0+7bKtDSYZalMiOc2Res3Mwc+/M6H nuLM2/KWZpjAc5aJsqcC3MS/pjzXIWBJ/Ak29f1dMFTCT2+xScCol+EytuXr 8LMlv0c03hxbG1IMct2HYVZprOCYrAUqUQgy+rURYdcpTLRo2gK3nr86+V2p EyrYbU6YPrHEH/KddFozjWDjGba6cNEKPYz9+QrJP0Bt1aVplWYrfC/H2TGl lgqXThuN1Dlb46dthka3f3nwgGGYyEprgyw0jz0++ZeDb5L/maACG9y+QO1O fN4OZh33HIh6tmjHY9JocngDfi8ttC2v2yI56Xh4ts43SGCd42eLscP8FB8G ZYc9v1kVey0hZo89TR097950gq1+vq7puD3eEjVZZQ5rhgcXBvgehDjg2Yok ghJzOpS8fZBrf8ER72/bDT2I+QBx6apBBp2OaF96YpT3cR5Yadw05rvthGGz O71evZ9hcuGA4iCtM4pHJ6nkXmyBW3G8Yq/ynXEowimdWmsTpmeSeSR1XLDM 9Nm3zNQxoGiWuTm37YLUT5z11Aq6YYzvhMvxvXzY5UgMNuEmwj0JVinHm3+B 7b+80aJjvmAxRn/sHZUgPrhDb8KT/Bl+k6cbcV0Vw8IPEfRs8q1gRL7WvMaG +JpchjyHchN+ayvcvdByHWm4x38UMH4DZy/XgAyDG3g9+kLGgGU3eByefdzw TQ41vto9cojvBL6djYWdO4qoWffV/GhkM9i4HptWn1fG6pCXSiw5WXAqekYn zUkNt5PWT2W3p4BEIIV7pLQmfqMuvOtT8AkGkkhM5aK1UIHF4Mmh3WaYyJ7w fDOsjSGuneaXrDahYMU5rJZFFynXP5/BkTH4Ziaj+8tOD3vsjoT/aeqG2V6z ibPkhshjmr/NyNgCtqGTwyuKRihkabM/miUbPvrS9YSGGiPNcpyDMjEF+HcO ONxmMEOfBy335z0/wRzTz2a9CwRkMaPv8mRvApt2cuGdDgLeGOq462+3CQ2n HRODbpnjLEfOVbKycRD2I9BzM1tgOqO4bcZ8Nzi0BZ3ZJFhiVNzsH7bBFmDV d9zRo7DCDS8R+SDFj7AVQPR9kGiFlMk3DvfNJgO98rnjQzPWqMmWrtRoUAaG J3Kpfj62QQPfelUPywZQ8bLSp+GzRQMGU95owQ0g+MQprrXZYpNtNb/L60nQ XPAzHHSxQzfz93PbPT1wJ2qBM6bIHqO5OUmfk7fBQeWh5/4EB7wf+qRk/G8h qG+KHZHc54jZRPJwdc1k0Gdut32s5IQ93N+Hs6tLQSP24tTWrBOmjrFflvn1 BXiCRH0dHztjIGf4gQyen5B7yNl18qILtsXc4zx79Tswca2bXu90wZOfDJhz 5Hsh8rNATWeOMN4o/Vo4O1sDx11FloTSJFCzf/H8jOE4RPf9Vp72ksKPrjUF tKFzYEN90H+cSQaHKTZ0yVP6QNPTyq8rXBZZs3yI0NwFB3hiUf+aAp4IFa9v jW8HYcJY1N88JZzUu+ytGVIDCcVFjAysqnjZizXwc0EiVP/gg5NLmhhvfjmV hKcG7vocWMqS0MbH8+Kn64rHQDR9H1m5pw4mDrZcnnNfhKntpTsnGnWRJXRU XDumH5qfjfGTHtBHMfrZkiOkRIiUrtQSNDTYm2+WA8oHO6AqUGhCOsMQRezP bt7YqIEdQl9vy4wRPnvhQclRmAjutzXunf5ohpty7jpOftXwy+SLf8N9Ar7+ NGjCQTcMqonWCw0s5nhQNsQpMnYZTnnv7F9q2OOB2sLWEb493zhO0CNxs0AB B5EN690uiCPR+9px2BLTS0NaC+w6gN5HhvZLoSWOFfSSnQ2sg9RXhbN+Olb4 4Ff6gU99ibA0Gv3cUdAGI7oLLg7nVkHCFZ1rp7/Z4PoYZ8doYD/c4njpE33f Fr8rpJwg4fgJYeYSGgun7LAuJaeSTmMIlvQ1aZ1r7bDbainqpBsRHH7O3Sq0 sEfXvNXD1HSdYHDK+xEbtQPKijPV1W3Uw2/Kvq57BQ64/9E7SUqtPf97dEyj /7UTLoaX9b9RqIK7khM5JYLOSHOJ7vL1N0Qo+8jyu27EGR+b/ZnunViF0/Wj 31/5uKDDv2fWfcFfYdUxKiCcwxVtHa/X570nwvBv0UZjcMXyewELYWxE+K8i hWTfu25YOPC5waFCD4784Yqw/3UM3357a3/VKQJMGjp7RY5y4Lv7JJ6vLiaB fOwDsPt3CYXazCTZJXKh7riEHLk1PxpYKVnO5JTAPnO6hIoPIvjvc4/aQf8v kFVhetszThKlWrM3Q54ugSbrarbBlhTG5+g6kVz7DiyGRXVrUTJ4J79LLpq+ F+JPlZx4RiWHko5ahpu6XZB52jpgOEcB6+NVq1n12kCKzFX2OLcyoiWRj+H7 J3DSbSFbiFFFCulcr3ChJAi/82P+U5w6Uv73kaPPJAea91HfIR3UQKbukHzf 6WI4broj/eGiFv6No1wXjayDppsXLan+08YrM3YMgXcWQVfx79nlAh30T2bL 8X4/A7y1rPMXKfTwbfGtXo/yXhgmmdFakNbHLl/ZYf1HXfD2oBcZ1WsDjC0P b3za2QbNzUqks7OGaFZe0qB0+zO0a5S/kWE3xpvnaP+mCCQBs1eg/M5dE6Sj +8dx2CsHMo9sn+YuMMVwz6U3EWQlcGCCcYVt0QzvzrA+bw+vBZ002ZnPbwgY qjzSIHpgFo7JdCaflzDH5pyTq2TwA4ZrMahmxhxv6buTM7H0wUBCV9jnUAs8 5H43Ytu/C6TGPtpvXLDEuvgwfXvddmhf/tw40mOJfh4ElQtHq2BH6G35v1tW SOv8auLhTCLQMfflHqS1Rg7nZsHim1kg3ynEU1lkje4pZ1OlqIthaXr2VqG2 Db48zfuDMawGitrqpAx2bTCAkeTZWdZJYF30SBGKt0XV42RiQcHz4JZ6/9Bf ETt0XOIqSSzrh6lreauuE3a4HjNuGj7RBfXn+DNY/exxud4x5Sx3B+Suxz3a z+uAVWcMJeY5a6GdnTNErtsBH3hrZNSVJoJh8a5xk5sjJqYrcmW/ywRKJrKi 3yedsGY4JMXzYREYFg4nWZQ44eZxIWY18hoIW6AKz9d2RjY7668fp4f2/NJ6 f96OM3omJeoXX1mCfBNa+ZXXLhgU7a+X8WIAZrJl2YT3eFe74u/RSEEi3PAU 5Rqj5MF2O76jy8tp4LtkY0yzfAWpFi9+8SYtgI1Vs19XDwlhw8M6Jt/gSmBt fXu1nUUcw5czU3bJiBB+tfDTpSTEawJ50a3P1qBqMLeMVkEabbzeLsmtDQGZ QUbNyY4bKMP5zXRfDhEuCju2nzaTx2ve9496XOiEfD9V3pEFRexaUS/ukmgE H8UjXkNmKniKzjl493MKaHy+sMQ0r4YKIf3ZcmOpcL21wJBKVAN90nXJPQ3z QdVBEB8FaOJ4sa1ozu0KKBAg7zncq4XdP569+8bZBWzOagvcJ3RQ+BVb11jZ OjzS9qWQNtVFG6nEbe/yYTjxs6JJJEkPxfOblpj/EiFOYiL04rI+2ntIRcbq dYJXsTrZpeuGWKEWofq2rhFM4yW3ax4aITNTpInWRAqIXqNd1243RmCtWVX/ kQrSvj+j6xhMkW/9euQt93xYCJa+0q1mhmpvyeVZF8uBpmAsh1SJgGXCZmZU rB0g4ZsaG7xIQGovNQuaiV9gk2B+MDR8b74XRt6k/z4C4gbYGiNmgT8Ee4ra qbrheKMpcXnYAiPyjJJ/uXTCj1AXg7oHlvjsmZzPdGUT6PAdKDzAboVnT18j eTeYCmEf9Z6+rrLCmySJL9QyPgDN6YqLkpbW+E2sMabFKw/YLbMS1ffb4MXi MyM30z+DAGno6/E0Gzw9ln/BR7YVhrw2rcdVbFE9jYy0a20DNImMWXzzthjQ f1tX1ncMqBnUK8JC7dCpNGtrtrgbTK/SJZldsUfjl3HWPVWdkP6hmjKrzx6L DZXYR6+3wPv8V40kDxxQwm0pUJcnC97cyWl8c84R1SbYJru3UyDyebHCpy+O GDJgR2G4Pw/OBcq/lbV3Qo0Y8bs65J/BV/+F2zkKZyxz05k7+bIJzp5YoTqc 5oz5z1WdzG9vgn5u/3+2Si54/sPu+9y4cXjyLtcJV1ywP2+7QJSyB8YkQ/vr JFwxo2vsLpGHCCznQl5ffvwbtv3l2uQ/eMFwoCrLqWIBzGq+HFvf8Akij+vb y06K4m3vvI+O/s0w+8Lql8Mq4OVs7RLGe5tA6dtVwP/uOt6gC8r55zQGYYO5 tY+u3kChyacf+tK74Xvakds6hXIob17XdqWmE3I6BvuNVRVxPohZfV6kBUw5 q8w865SR8mf3OZeyXDB9/J9nwHU1zJTo+yN6OQWeCr0bkr6kif7u8jnxY2Uw 1fTviaGfFgqM9kQtaTTBXdeKD0xN2tiX9tI3x2kTXDrKj8Yc0sWBJ/vVE+fH gXXIbeiajh5+/culYnaqB6jHrPyZlwyQJ+oC9d9PLXCM/8s9HSEjLG3+MMG1 /yMEXrdpUvYyRiXbHSe5Kymg3Pbm/C6pGU7r5tdGlZbB4/CN7qazBDSZDxa9 VNoATREe1az1BLSYP/JWJGgDxFcZ+4dszTGzeC7YeGYCnoZWcWcfsUD+0WeB rTd6IEoozNxE1xLphCqnfzq3whG6iYpbO5ZY3MU9XV+TD/Xuf9jbYqxwqJDX esUqGYpiVqcPjFqjgPtW7dmkUjji/umR0n0b1Opr5NzHVw+NbKNapzltkWr+ AF93+xqUmTVy89fZov/6Pk7mySmoGJ2ZlLWyw+j9uhFfFXqhZGp7aCbDHm8y /Kot92sDnp7X58l1HfDfa+VtW+lSEGxz4L697YAeu/x5wl+TgEEtOf2tlBOa hw26nqMrhQWKYsrr35yQ/2f5mzSyLzBAuqs65uuMqn2eb32vLQAr8U0VNbsL MoVdCr6ZMQ1v/5kZvvrigmOXq4KhtRdozG+2KhoJY+qroZTNizWQ5zfzR8dQ AvVlSTy7A0bgMnPJznk1KSSJD1FvKV8AT4GwqrkVaVQL0bI01eiHOwPJ1ZmO stiu0PBkerUL7tTXcU8fVEDzJP56q3/tUHyt9oHJEyUUjsm/Iv69FmJcLMLF /6igrQbhbl/nXv7FtyQ3DmgiSSTno78+1eD/joK5mksb6TKSFkNlhqHDYYxP xFoHTwirT3/NXIY3g5JbC3m6WD40zjhkNQDUBw+XwpoehjLe4GC+SISdr2a8 7TIGKGuQKVBu1QHfQ8X9IdoQ3185/ZzLuA7SKEru8vUYYQGDNAldTyI8lZkV TY03Q/YUjpFnS1UQ2dv8ROQOAV0rr3y8yzEAH+0G7ywdM0fvAb1Qut0VCFNN F5Eq3+PfbcUndUcGYYGtyuWhtQVKhp/9j3Lv+wVGHLcP7bPEf8f+Wxot2Zun 08oaFzL2+Df5BM1A4xd4pc6bEadkhdOF7l9f8+7xE68dIYbXBnV7FmU2uatA P5SQ7dFjg4WU04KCKT2w2EHnmXzHFvWfSBEEbFdhTsae7yK9HT6QMEsdNvkK hkolr4ZK7LA4iuqb4AcixF6p9OnXt8cx3ZWCgwKdEOcQLHqL1AHbcjxFLUgb gSki2n43zQEPNXdwfKJNhoul8xGLYU54I6DqjPHzSjiS7thHctEZ06av8lX+ 7gQ73olGkW7nPT5f8skVW4ewUDqhmlsu+GT6nANtxTB4SJPen2VyxV9aX6hv jhJhhCLvCtUe795TltlHzkGEVrGCQP8bohh65QETIbsBFFPNC27KATq/Ertu /vAXXOocvyKnch2bOqxrCMET0B9zTUZiSgbvSbN4RKr0QNbdt1nM/xRQwvNV 82HTVlCPPKHVcFcZ+a0Pk5ZUFMJ318RyoSVVjCD8ElE4mgy7R3dnHuhpoeqT ff/ok+shYeXO/qPvtfGXV5CEZ8Q6TDw1YZL5poPF2odbw29PwYf2ponci3oo cfcV/f3+HtBdd6k5WmeA0wXXNiq+toLr/eBKFjoj9PobFB9ytQi4m48UNKoa o0E0VWElfTLU+5FOZ1ERcMvJA5dtv8BzFrMe1zwCLpSQnVe3+wlcse6Sfprm WFb795JryXfgT3ugX7JjjgbszkwPGHthnurdd24pSxxoMTOudm+D5fsd0qmz lviuyWaVqrwULHRVbto8ssKtIj46kYAkuH+R6EPiYINRfyPea16ugyrPLkUx els0pGSlJW+ZBxfOs7OFubYY8VhRmHVqBl7V5m+cU7PDe9vUAbdN+wACTkg/ jLZHCY5xBh/LdiDzajQYmXbAOMWkPNHTScA+2qRHbHFC2XslLWzmtcC/GbjS ZO+MG3nkFx//mQAKSzJLM7q9+79kJtDCOAdp2UIaMrkuKBT2Rxz29wNZ+uyY ZJ4QKlkUH/s5UQVzKdInwj+Lo2mrQxOa9wHhg6BxxhaiG4ubcWzfCsQFJUj8 jZPGJgMKitG5ASgcCtY9La6Evym9k6pv1EPIcOnDJ1kquLxQeetnWhLkkpPe Pp+ticHvbBbI5asgbn6f58yuFvJ7nSpv1OgF+pej/14G66LFxWdWvipDEL5j Xf25RQ/vuq9pNT8jwuVE2RpBJ0NMXpT3+9lYD/s0/yvZyjTCv6npVxRKkuDz NENR+V0zfGd2s3OooRK66nrjTxMIWGm02dvRRwSPtapgMVJz/CGXRTN+fw18 Nve/m/lgji+yJP/qXv4KkZIP4p+rW+BCDNvNQ5FEiCgz6d2MssTykORXHZsN cLfqJB9RyAqdL7/z+pOTDMMNlGS/GG3w6/k/tzhtKqBeziOJt9IGI1PPlVhk d8IU+z7XWnNbvGzw7delhXV4Q1W9lL1ri7KsZTcODI8AP19gRmGiHdq9Kcx5 ztYN7IeS39Mu2GNtOuWaQksTmCaeiPkX6YADKb2TlH0fQN7Pl+3FSWecY1ai 7aBsg7pz9g5sFc64tLg9RfZqA9zPuA8eM3PB03zmD1/GfwO/1YE7kftd8dPB i6nmNt1g/POPCqWfGFJ9dKN7YdEONeXXTuWpIsYIdPg2M23A9IVqIdZf1/f8 nlN2OWQEPnIdI4uPV8Tgmya2daNN4Fxi58RNr4JLIeUNUkXp0HqflI8/Qwt7 Hlo2Nm21gsoShSLrijZmcDzlpmvbgO0jLIeXrumi6wsLueSv3yDu+wlikY8e Nplbl+Tf74baFsPrHIyGaPXGpYRg1Qxls6TiT02NsGrxjbcRRQYoJ85Xfxcg 4O+WyZa41mYgPxSW3TtIQH4d8TxL203QVCh35b9njvYV1SdYcsZg6jbJn0RO C9Sxu2+6G9MNYHl/JMzREk8sLf57KNgC1xLWRSTorFCBceir38NsSCxLCouO tEHrygHj13s8TmyfM/4nYot3fsQ1k2huAkWMm2Ne/15/fny5pnJ7Aqa3TnU5 etlhvAW5K6lTD1yVHb2lWG2PogEnBsq9W2G69uRvUkcHvClTSfhLnQ8O5w5v HaRxxC+EBY3h3j3+uJxU/nHVCRuP73fq3dcAPtQeWRsRziixeDPhDmEdJKXE WMqEXJD69pdk79FJiFIPtlwYcsF1qTHBTWIPMDFuF+vuE0GH0B8XMgprwdv4 ydjJ3xL44JhfUfXHKdgNE4lPSpLCLpfcIdsXs6A9eV96QEYGw85svVI63Aep JFRvF+VV8YvmaYPrVYlwSzB6wJ5cC+0y/5zE6Rpw0DtY9VpTG5POP/pJf3IK Un5wdeNTHfzDZLv10HoeeJjfrkqN6GIcW0dz5FQfqH5a57f9Y4QVO1RHj1Ym gu50pZdOCAE/9X23Xogdg5RkVeJrojnGiTXvD7fvh9kj4m2mVZZYYao+3cpS C6Vjkpy2ZlbI7PP+xMPCRPjRo1BS88MGr32mgTrZryDoe+RWBocdvhpMXZ0h DMLxVkdiz3EH7JS4aSPe8QX6/BlE/1Y44EvcOHd9OhGGiPqP3dAZr2+RfszM 6IH0v5mRro9c0DZ61ZD8zhB8nas1zd7LNy4P+uAzrETwpFq0OfmuFuL1fF+9 s5SH3NmNal6lY8inOvPUqTscVHnT3Spr2bGD+9qjhb5E4G2Y3/T5eAnJRIfM T1LkAukPQ+UqUX4c+NNyvUCnBDQdZlJUHogg/fd7r4iHvoDsPha2spuSqLHz zYkhZh6GBQVVTaekMCIijcF48zvwUfZbmfvL4KypK62CYi/0/FCm1t6QRaOl JA1Thy5wCurzpI5TQC4p+o3+521QMSJDns6gjBaGIJDgved/6gzHBgNVUe1M SL4oTRJwVe2sT4er48Dojj7pWjbcMjXgMmjXQOEAjnrl58UQt/JniI9tz2fX +oOfnKuDY5qx3go3tXE2X3mmp28OCkSSJwzSdTCbNL7C/MksqJKIXFTZ0cVG 0/HEvt1eoFMRQmERfYz8ZlFY/boL8p79Rwx+boBVoevv5A62Q0L8Zw2mb4bI 5fgo6hNVBZRcs4tJPGmM3GtcXlLUSdCcGl9L62yCw6+GqJepc0DY+4uPS7rp nr+2crjnFUOKActW1IQZCk7O7au+UAsUT0l4O2MI2Ot/VHxz6juoXvoAXULm aLW5XyYT5uBR8wr9wwlzZHQ64nLZvg+s2kuMBx9bYOXHfN+QqC7QZSgKSeO0 RMk2e6UzIe1Qr/Sbe77DElU9BASXB6rAMjefjtPFCpX57s4rdSQCSdwBgy+H rDGF93v/gf1ZwOSRQN/3cc8X7N2vGVQWgWKUS66Fmg2KKdI9K7xWA+vv/SoJ WzYYWmHA7Ro0Du2jh4/rv7JF4UThMvanC5Dy7mp7Pr8dFuxka6ucGYAdrbjN ByN2yPaEy915swvsFMT2N/9njzF0LHaUeh1QLXyP+IXTAemP5pPFf62FmucS xy3aHbD539zu5YJE6OO+Junt6Ihk6syvggUzwS7fuZ+cwQkth0feLYoUAZfj uZJH+U4oXUd38FRBNcymOW87qzmj/k87t6JfA8AxsJtVv7n3fl716rzGMtxV +HIjNsoFtYJCupP3DcKsAJk+rZgr3nnvUakhRATBkaO11p+4kf7NE3PP0DRw C4wrYWy8ggXVPfITlflw9cu97eVRQaQzOi6nsK8S3HrviphsiuHNPCaehStd YNobGdERiqhZZBoXs8efikvrBsf4pXGrT4pXN+QrHDvUahH06QYaSXWrKDYT wYqCpHZKQR6DBR8XUUEn3JqvPHd4UBFPnI97HZDVCL85ZgRclFUw7wXL1JOH H2C18M6/A31qePpFvZNbQCr0H2+0FOTTwB23xs5HTPmwURuwNuKpiS8KPj10 3ygH0UYyx5fNe3mVoftxhdAJLirl5HaHdZCslEwvSP0XTEpzNmZp6eKJKAnf v7dGQPhSL5XBaz08yXTnUNWpbuh8fPU/ryl9/FtHdaTGoROeimsRM4QM8eU/ Jg9D/iYQcMtR/PWfEZKa18UY5X8ANoaypfxaY9yVljoW8CQVVrIo6QeoTDFZ Va47+lo+eP6kCWOUNUPaq2lbR33LYdTVsqDsBgF/sNupb0y2wRLBYix2loDp B1qN1iw24F2I8HuhZ+bYdlns1/mcUZg2W9EzFrTACM4TDiQXu+H9rxtvqAcs UKCkIUvsQSfs1t7y9vhvz2dUZ80d2JtB+en14wxnrNDYeN9Y6m4abHI7fav6 ZIUqtdxP3Iw+wG7ccu+2iTVm2k5piQnnwcah409tSWxQ3pT36OnrnyEs5+hA aJIN8jAlPfWXbwFGtYLJWXlbzNdjZeGX2YR/tdnMGtO2+Chh5MD1n2NwnYY8 QO6xHdY+1jsfN94NdzW3U9147bGRi7NgtKsTlDsarbS77PGjOmsnT3QL5G96 Hqv2dsAI4rZB7oEceDFWr13K7IhZIRF1GtkpQEe2wONU5Yh26u9D0uo+woPT BVUaVk4Y+efjt974T6BM0xdwg9QZvT6aW5iON4JHj4Z7Q6Izug2pOylc2oTw SDd2H1kX3JpYpjU7NwGqz2wc5udcMFLNneOZcA+MfVGgjpNwxVzjuavPLhBh iV6y4QjDBjwziS0esvKAk3pObANPBTCGKEBKYfIJJs5cduv9JIolVT29AqVN 8KCfLTmzATC1WipD2nUTIsIZtEWeXkerkPnC9ZkxeP+4y3Kd5QbK6afZ1nZ2 A7Nnii1zghxe0XboDuzZq0cRpbanooqoPtE7+CqoBYZIo5mpPypjxebcdnnP RyAJ+PLY7aIa/jFxNro3mQz8L5aexbJpotT5SmEp7zJwMP7HOnVXC9eEjmyN RzRClRpvpX6lNia/+742wb4JLRXWveT/dJCmq6E25P4ESJ8IYtZS0kOBe9Zn D8r1AIu1rebrSQMs85qTjD3YCvMUgu1BF42QsMZ2ZpA7D5zZj9RluBijS5yB audUMgwIODyS/m2KTo8VrXqNy0Bf1WvA/xQBn74tlTh5vAG8716hEKwm4OGD zFlm73+Bx/CyW6CFOX5+JzF69ukkCEa5FbpRWyC1m8gN+7t7ee0U6U+nYYlH jesiCvNb4aDT6bMPNi3R9yt+yuEohIuLtJ5rkVYopSGTpnE+GYLRqINl0Bq/ clukTyqVghOrVN1vLxs0Norwdkr6AhRbr7vYz9mikreSwQGFVbDVMI3RrrTF 46r6b+Yiv8N6/+vUv6Z2eL/izhnFx71gSE0m8DzFHknoXkTIlreBKON/t2vV HbC8SXaLebMMuIX9C5/9ckC6Dg8H5uQkcJ+la00Xd8K5y9VH2ktLoOzzn9M2 Q07YybaQFB1eB5crzYpfezmjlHho9EvfH2BUJGR/7owLWlPee0ftMQMW8wz6 0lUumNS6otF/tA+Urj3vOnBFGLfNSMPk+6qB5EkF2ferEnjcR9vUi/AVdipe 9jSKSGH8W+Y0v9lFIFXsMVv+Ko23z/ZID2T3w6PgenMmfVncdhVB8oNEyIw0 YMlak8fz23eLT1zqgLvx/HefeSjhtXutVxaC6uC4orBa54wKyr/SOf15JRFK NhgNzrZromkYVYvHhWo4yE+Rr8iijUDULCjmGQImJVV5DyMd7KG3Ttd1XIE/ jdNleqm6SHOHQZ+9ZwAu3WD7Y/pDDw3fS2aekSECH1cuI5OoAT7ium3F86ID fh8FzfInhlhEGvXlL9kXeDDI1WDRbIT/3nZurP1KBMas/JjFCDPUJ31S/Sl1 L59fqIStuhKQTA26zj/rAwuliDJSOnM8kXawvyz2J7QI+3XPFZtjjBev3vLT QYjmcduWI1gg8dZ2oPcNIuBjauD8Z4G9DY/scr91gOYpjVujyZb4onlj2c2s HsIybanTZa1wLWNEyco1Cay6O+Vzz9sgNdMFHpbuSigQn55n77DBfeweb3U9 u4Enue1XppstJgzxM1VTrsFLwX9vVQ7bIfm6acXJla8QJuNo8iLfDrmPO0/Z 1hGhQGPvmrTsMX+GMHtarhMkw59HntyxxwT/s6fLfRrhQv/dwoqkvXpyCwzN CU+Gp5p6hb+fOCF3dtQW5dFKGDXL/cHO5YwVHb7TCTKdUPlD+sp6mzM+LKo6 Hj+xDk230r71Obtgg+ylOQ+bERC9XOwTweCKK1mGksK7RBh95mwzIemKbU8z tT5zEIHpxpMnR1hEkekthaTeXn9OLp61ymcGzGn3FW1nXYfiKY4uJeHrmP5l o+Me+yTMKmhPpXfKIM/zzb+y//WA0xhdovK8Ar7zOKO59rYVWl0XaY0slfG8 m33SQ6FieGS/2M4+qIqSwbRKqr1JEJjy15dSRQtpiOdXeo/Vw1znJLPGK228 cI/LS5RjDcBn/3B2j84eH1w58+zSd2ikGmPvZNPDC6U+8cnUvWDndTP8RakB BqiPwGPmNpDV3KLVoDDCpr/RmkcLioE+83P2eRlj5PAtPynfkwTREoFzNhQE 7I7y2dmYrQMkPXkyIIuAE4trco+7l8HyodIAj4o5jtmInzwcPA2jOXxT3pvm eNV2uT9auxdIpJIpRsQscdJMK0U6tw2mv1ImF05aIp8V/Tdqg0/Q2G5e99Rv z/8nSUzfaSfB0Fe9siwrGyyLnC5ur6yFXZXQxuuHbbHff7/B1Rs/4BRjkV5f hi2WpIoT7ctnof2zzacBBTs8QkEjeCC7D8bSWeJ5X9ijmYtMgNDLdvg1+e37 5rgDRsWv6pluJ8JqBI3jRr0TntOp+HRlXy08KZjWD7Ryxo5YI0Nr1XFAuVgq dyoXNLQcYp2lmQen14uqy+kuqBs9I5Js1r93vhTTf4KEsHLxYEfsyyoQzmVi ORcljlaLhzaeHe8FXsXj/MpTiDSCBmpLD34CR9zUMGmwNMrMmnm6mg+Cu8y2 kgqXEnbkxiQut9YDRcnz62deq+CoWPmFdKpk0DdR5byfqIn21suRQFoFrL77 aG+ua2GHaLR88rEecH30qJrMVxffWFTqO38dgnwRH/Lhaj18oqn/hSGVCNe5 FMILzA2R+eIsb5pGAwyxLxzkTdzzydCQfwSWZJBXGz9G7myGN+FMtrhyJSQ8 0H/fZ0jALF5i3/OxLuDq825T3SFgtX+CquPZdSgaHxZ98d4cpy1iFjZbv4Lk DT5uTSULbPFpfCSQS4TUZfON9DBLFGl8LxJ7qxFcmHVefLtqhd33hR0UlVIg 2+X2HNUxG9S7cbf592o5sG7sjA+W2mDtM9ds7ckOYN2uWmg2tkUyQ3/qXb9f oPRX17RjyxadfKe/+0WMggO3kJvTGzuUGL3df1a2G+r5MneKpu3xgeQZn1N8 zeA6szlV+dwBWej3n4uaSIXjQrWChcecscExSUKFvhVOfWsmjpQ4YxHrRr7+ vk3IIj/sz23ogrIfXt5JFB4DmdHQ20Diip7nb113eNoN6dtE7RgDMdyoBy09 hTYIJRxd0xRB7Eyjt/F4s7Fnuvv7OceuY4Nej2a10ii4hT/cbH2siEqNL2o9 xZphLkKSu3xXGU9FPe6JYMoETXrShvIELWQjpzSMXmmBV+3u5oRpbXx3kpoy mXMT9Ejr2/W5ddH0jo3XuPkYVLBeOtZ3Sw9FxQYfkiV1Q5+6CX3iYUO8+26Q oF/VDGGfbj2t0DbCo3+eHPTyyoRTZi71b/gI+Ngh2GN1uQkK5hXWZnsIGJjD K1/muwlPr0UeGvUwR+HipbM+fOMQ6p37yOacBQ5uKr8ZqO4G7VcBu9I2lvjd mcY983EL8OxcjlWkssIpgzyhe8K5sGvH0y793AYVX/Q+ene4EeiSPgxRCNhi pujwqYkfG5AfQvGVSLTFexWdGkNkk8C81h7F6m6HQhQaH5je9kCP8/fWn5/s 0ebAhd0XVa2weWBbusbaAY8+3XS84VkAJk/ZH7IdckQ4cCQ5fW9eB36f7exd dEJ1zRvytF710N00wPAx1Bl1PG3O+7WtggdHT337VRf8dzjQry5gCvTFJc1f 9rog5zIhTWBvvunNnSg/OiSMfZ4lRsPKtdBobTGT2imBM6QRKWwLE9B87eSd G8+lkNfJn9b08Q8Y2aydGL4sgwpxch1een3APjxm5CegiutXuc4dLUoEprDJ J9W/NXHY1lCQ9lENrPw4oMcur400PFVnfytNwEpT9Jyvvw7ukvtkbtkuQBCV XEEmURf50pOElcT7gSPU+mHMTyPcJ0a4GFqYCJzvr/vSPCTgX0du1Y93R2Hs OYeTTJs5bsqxnBBt7oe/srh05NOeT5suykf11kKuuHeQu6EVRjUJ096oSgSZ gI5frlM2SL/dvzwhMwiTrh/GW87aobP/oHd87yCUrN3i9TnigByCKYeabeph pv7Xw/JSB7ya1cnfdzQJUoPj4yLFnNGnp3WDKrobpsZvSAT6ueAfskKW3e0h GL55P+LhXpW/al5mG2AlQpGeSMzlDhE8MPrv3kHSejjm9bZWsEESCyPTnQ6M rECzsd/P3WxV7JlpDlq2SYKwlp3M08Ja+Lmr66zw4S/w3ZU+6fslY3zRY2zF b50ESfVP36clEjDOzn8RbOYgujLEYdDDCi0V/2hIUCSB5+8DdRrktviumF80 dXUKvpbS7PIOOODK1uzh6YZEELmczr1l4IxllxQEc86OwMpNA8UbCS5YtU/4 7P//T/XUNF4AWXEs73ydfWGBCEJfnE5RmUqj01z9Gzbrob1WF/sse1sFj2iW BfrTp8ClRHKJwG9aqDB51ubMPiJwW/fJDNjpouWO0bNO+mEIbm5LC3tuhEN3 Twe85EsB+G2SIa++54/JL+KFpPZ8NXZJ984qASXmTp1S1f4FvEUhLlMvzbGv xriE6/wImPa0aG1zWSGfYW/J6+EPMKR50IQ/xwYPzqz8JDNpg7gk0dlBTVt8 njLEIR2yAS9cS3zwoQNeGOwL/h2UAbnvlU3+Ujrjpo9LYoJhMzQZhCZqZjtj 7G6quv9/myB72M+imFIMe0TgIalxC3ClEN9H0iBeOw24oLcJfvbPGPiKrqPo xs2coNVvMKE4936qXxlBzuf7cY8cMBUi+dX5RAvj7oSeVDrTDLzP1cOGidr4 Yqbhr/Xe/DgyxqB56ZguNjI6EIwI4yBprn2RTcoIVZ8K9RB/50BZ3+0OOk4C Tr89nMxq1wiMH8t9aFsIqPfKsp6NaRPIDl6XuOJsjtfumIlxKE8AU0GKiTXp 3nnE76GxZx4UfRFQeBNog4P24JhZVw8hquf6GC7YYh/PQNHDC7/gZFjZ1+tG DqjKXnpp+lUx+MnETXMEOiOVtoFHF/cyWHnS/ar3k8C/kc3/6e7tjzniaW8q jSqqh5FE3ChPhB2aAw+FrmmjdpS7JlXWKBCvyXHujhhhuoaq74+KRKg7KR/0 wJuAK8mif+J/D4KuVffblzXm6Oh8zGc6fgAS1lcUnqtboTvZwDn1PX7Y+Tbk 1jxog346z96b/u2FQ2pFpyVzHNCp63cxR0oSyKxz1g5fccbi/aUGqlVdkGfx fh/fLcDEtfH9aQEboEt3cKknQxuZjPsdlWt+wahY8nPjYgI2j3ZfbVxehT8j wiz4xArjxCOczxYlAS3Nx7aaeQfUP+I7n3ojCUZE2IJpXZ2RJ0PNqGpqCuLi nejIp8Tx1Dyxia+/H2hIpxo3q1TwbDur5VOjJDhusH/c5JA2KiVn/bxY1gcX 71PaNRQZ4cko5uOw169kh7RirKwJKK/W8yx2oRt8rUbb68StkFVfvKbgUjI4 xPy0uV9ngyH6bwm8fl2gYiakAq8d8FWXYAzVagp4t4jQObM4Y2TvE8elk+3g bHWAzL7WGZ3iH4Ze3vN8mll2uf9SxZCD7nGy1MsO2GDSlj5ihei+4pg39PAX rAyH50RxqODLsk19P980kF0kjUkv3OMdy6f1O8ztQEYTc3VqSxv3N5mRhZls wCTDi3kDOyPMtpmYe16dBj4zduW8YgQMUAnY/+1zC2hy9tnXjBKwi2GxzuPC JojLlA5cZrBCurtvO2o6MyFy6+K3TUlb5M13adb12YTe+yKZUm4OWDJ8nNm/ 8iNwqDHcEI9xRvswb9LPuXv9rFUwGHJGEjdLUfhY7jTwcghMGBir4rX9x9wI xESYqjvIfcREG3PfG488Zp8Gz9mAKf79xlgQ+l9xVWciBPFI3Il7TkCaOl+2 2csTUBNI/sXAam+es99uEd3Lg1DOOm+GZRs8+UB1hSJqBOolBZbE6xzwzE6M xP9qOPNoqr/v/0tCFEUTCpkTUTIPewsNpkyR+eK6uLkoTSpEJcmUUJLQvcZE oWSOzPM8z0Qh7xCSht/9rvX7nP/OOut1hrX2fuznc531Orp1VNh2YNdVfR0K HmWWXKqd7IYBJ1bJXjqfORab97kc7IBLKT5y2sl5oLG3ubypTAn8R20tOVa5 8RpPZrbh/SioHdmjwfhcBF3YQ81bXlGB3/ag2f2QI2jj/UMxrDsHBDu+trwQ PY4JeiW1qoc+wPqCiWSMuzLyS1b07mirAq60P7+sbOi8F1tWq1WaBUHNvoSx fk3kW5vXzbGdBiXHmeNPr2vj1ujkC4ou3fDd6ElQwdxJ5D46JSJzuR301SK8 RaLO4HWPuobLr5rhVmPO+DK7PpqoDxTLapfBiH7R87M3DDEtsquF9TcVLjkH +fwOM8JSMaIYU1k2nGRnYNxSb4zCV+bmThMLYLTwZurKAVP0DlaYcZj9BMon TIJc3c1wwI1xx4mEr+B41EeLM+UcBm71Nfdg+goj/NotNmvmqEpJSO8T7AFJ b3uFEbnzyNzccJs/pR1U224VnQqxxIECAQl34RbYxrLiIzdghVGXHCfVesog i1a6x3SXDTprLdnvped/EkoG8Lja4vMLrXFne7PB78hhqUcpdsj6xKh0IqQA ruxO/mM4bI+2/bm5TL8qwd7XtsXyCQHPNbNLbJ+dAndq1DYxeQckhKhdb6ia hcHmuvPTow5Yd0jjjG0kfX/OWZUu9x1x01YvleUX7TAuo8S3WcQJmbqJpjbU Fqhcjxm42OyEgaxqpp+UKyB2Xl2l8AIR2ziE/HurqfDTWvC1MIszVjtsrZBs zYK7DV1BDjnOyBf42dMi7j1cdz96tlCfhFbX9pz8yVwJj7cT/KZWSWj3k9u+ tGkMaL19Bl9iXND10uX94zu/wQn+UFnOY64oxhDwb8G0D1iJO29sHXTF1Mt7 KjgZO0BpWCP3gI8b/h5bjH1IaYUGK8pPUREydg9wVHw7VgVqOmds/mskozzL 2tqXfCrscmrO7nC9gMundPy8N2XBvtvCrg+43PHzUGhEzK73wFnzqWLfW3f0 2V3IHx1WAdHBL4406lPQuhVpF3b3wQldPUbjFQq6liu1P/n8H1hAUtX3KA8U t32Q2I794Lpuv/RLxRPXE6XT3ih2QE7E7cj0x4dwxKvak8UuA8hnC6YT8o/i j8QT006JeWCUvc23pV4Bq1SN4tM/lcE+q4kS2qQq7rjIEubc3gZVqXf/CdxF bDzJYLgU+QPCf8ZmxB7SQq95WWan/kE44DB0rOytDqZ5P/cx6uuA2xRd9dNw Gm+pb+MuOt0GJknX94u26uL9kLjtbpN18J7bZNeHEwb4ksn5i9BqGnzK5Q32 azyLR/FxSsq5dBAqMf6id9gY5z7ObPT9yoUGL8nmB94meP7tNyvxwlLwfRSo YFNtitaqhbWvt7TBY/XLnPdZz+EdW00WlacrEKX6S8LJkB7vFQkhzB3DUK8/ luUaY4GhaqEHHh7uhNkcq4sCo+dR8s1OCc3LbbDb36yIfMwK59NkGKXI9ZDU P3OJ45o1zh19uT9XIh32BXG6O5XZYFSR4z6wTYdanSet48x26HHtxcoV7jwo S7kMqpr2+NZh2jX6VCnUNNMU9moRsMpD/ryhUTOcMikPFJ0mYHNW5n3FhFUo +yfsGRrigB9Ut3T/2zcKqk51CaVyjhjaKbZZXKMTXEOVmeK7HXFE8YlRe3Ab PBj5wdZ+3QmrX7dsGTFrgNMqYzXx+4nY5ezN65GcCZKkVVazQiLek3BpEjue Bqs2rJKW1s749Tu3bsXeXCDY6jIs/3HGITlxoT6OEigL6rn6OZmEnaWdwoXt DVBQGPXS/aQLflEL7uomrEFPiY/Z+CQ9/lVPf5GXHoeREJvPL4Nc8b6MMUFj rRMCHT0Prx9yw20BO02dBtrggFPTzvQWN9xXpszvVtYIJTxuKgevk9GWGC7U wPwG2GI7np3kvYCuXxoqu4JTwVA1KL6q9ALmPavSTKC9BZlZN+NeB3d8wH/j yrcLxSDndj2s9687OrYV/jr6sA6E8gLTRZIpmHilmtvh+ypkM5deZ9b2wLbD xh0PSBMgc0fzK37xwAD1SONEoy4gPEhLva/uiUHlCi9nD3dAD/vTYcbBHyC6 5/Dzf3AVlHAj5f01eezU4H0SJVEMD2jPlvenq2CY8v0SMat60L+x2dcgF9DP RMhD0XgN+p4XUIsDTuB7aZmPOhLj8Gp8XO7wbh3s0BPf4jDVCUqj38f9Y07h toE4qezhNjBc2FxHk9VFp+EMRcXXdL/7H8PGuTR99H7vGs7rngvt/mSuGaGz +OiKbUtBWQqwasS4nOI3QdcMTrvZU0WQLeq/kH7RFEc+RPJsVamDaZhsuFZk hmzuEQKcdL95472yQuH6OUxWr6waaZqALvmoUseTFlgmn/dfum0XpKe5qliO WCItY19otnQTmHt5rCZJWGP0FBuff00uOMaQNK3dbNB970e73PIU4J9tlSct 2+GT1Rs/RGWKALOKrEb3EVBzmaHyaR3df7qEp5eXETAnv7bxCccKRBsPqvfb O6D9wN169YlJePj09Eb7VkekMI4qvY7oAvn7e7jJhk7Io9w1c7e7CZh4i9uY V5yQT2Be0G/0HRAOPUsOiiJiDcO3tfytKbD0OEIrs8cZ5RcUHB0FC+HZ+man s9dIeEHP1rzYoRpSnHwi0/ldUF9ri5vGnUXQ0D3UPlXigmzfElrOLX6GSLMf bJY2rjhdFtFkldkNh5O2TExQ3fCTNcNfpYFmOKFyIU7YkIxRAjaetzuK4eW3 sA3eZTqPQzQqoh7SQPhdjY2sijvKu8/eVY74AMl7X4j/7HXHQ1LtZi9sqmAg IXJu7SoFg6x3CxzR+ALXJe6WvtrvgdsfV0oVjM2A1vj3nqelHmg2LmUqr9wD 5P38ZtN8Sui1O5+14lUFpHFKBkkJqOMDfBLL7ToAjpH3kUdGE00vqlWTAhfg pNnVnIvtWuhcM5ORM9oLEWM9R40NTyLZ7O5KHVcH1G1Qn+74ehrP3mMLWdVu BXOTb14pFD2Mz9IcjO6pgi5FqjTviAF++pG4VLGFBqHU8mNNdSZIDAhf7N1c Afp/7vlx8phhNPsZn1+K/QCqW8xizc/hQ4P54nMF3yHzYxHfdqo5Nk999bPm 6IcypyPPPaYsUD53z/L02Q7QNezj+HjcEqcFvLnXU1shwBxVbgVZobqfMB/F tBrmTjj8d7PaGocdBLVEt9HAzoHnzI4Ie9yChrLpQR9B979wrrMUAsrIHpsj dXVDsdp3m4fbHTC3qcI3fm4Rvrx2T4J3DhicmfTetbkf5qRPY4atI74T/8Cx yaQDmAUZUvJ/O6J0v91a61IrDMt3MipRnVA7qZF3Pq0GQq22lMpq03lopXY/ 9gkNWsS2lKqKktBi4660QHQ5THBnhNxsIuHAp9rAlYUOqOfMypf1oMcP447a EJtl8JBp6B1mc0XhND8WJ7UhkKqoKp9/44qy37ZRLnV2wEcHfqaLxm7Y8rPk 1U6jNuAUe6xJWXfDBPYysT0f6uD4OmmQ/yUZPdV+iLweSQFVge0n/R64I+vH MMGjdP1UXWSy/F6UgixnKwj7J1qBXHfZ2biRghtv+E8R5VZgempFzuGCB27T OrPZpmwY+ESjNr5weWL9+Y95SRydYGfcyNDyf//HPz67jUesAyrqVzks2VRw qk5yb19zDbyJZFAzYwH0NSKV37BYht8LtYIt0nReBQnpsV+dhMVkYv54jTYq cn2bXovqAv2Y+gTi+BnU22MxsFjeBCG25xdolvroyeA/n7FeABakKIv4FkOU EDFh+1ZAg1pPX93WU6ZYrh/y53drNXBWPJPwemyGunccnRmJS7Dg3a9GbD2H pTYD6jyRn8FScq56lN8CiTpteijRDYvFl24Y5VtixpmDmRuqzfC2+KgSeZM1 kmdj+HhufACWA1xSvRo2aDP8yeIN3e/5xVe7f9pMwOVK1x28WVUQt3SleNsr Apb5qkrvJy7A7V8KKf66Dij+e7lO88c0yOWxSg79cMDi6+w46d0ND63Fnygo O+E/gXJxueZmmHiQfk5t3AnJngXJq+Il8Jtt/puAPxG1LrQP7gEasObxWjI5 kjA1mZFHMOQTPP/gfr+GzQXPSx2ND+D5Aks7AiJIGS44SUsx/in9FdyUPx44 fsoVM5CzPrq3B95qCOneDnfDMS8vvWtvWsAjbu7wvVEysh8WIynOUaFv4c3l 4Cp3vGpvZSrTWwkKj/eGjTtQsNFcyiUgdAxsCmfs/7J6YHKffi1r+BwYRNY1 a6d74MUjUSnT4b1g5xzjOnBJEaUT4wW+XvoIo8eDkl0D1FCCWJYR5t8FUXzM Sc/7Ea1HuzeIvYtATg2SuuurhVkBLXu8E/vBbD33pDO/Hn39kVRRjlqoSvkl 6BZpgNYBH8tuaKeAFNvKP8kXJni7MSLWo7QcnE/dHZD/zxSfTrPrGd3tBH4/ K6EP183xsEHu+ULRQdA+f582V2KBmbkJ4k/fdUAjWfeGt40VBlEZfa8+roWT 4SJHdV7QeZCX45RjmQLhm09Vibrao192oXQhZzkEj8SJyJ0noHqYiUe7ZzsE 1PZ69q0TUHxy3e+25w/oMq9jmU50QGJcWH+QwBA8Ps3qmXfaEVXC7Jjfl3WA HNtUEFO4E95ai9ie/7oOyA1LmiRZIloyWwilU1Nhb2Wa3ZOdJAwIv1TgV1QK Rs3lt2ULSPgiI5hBRr4VPhITXxlauaCZmCaDUv0KCK0ejLVfc0GDz61+Sssj sCU1sqM23hU7RBdcNp3vhNiqnAy2KTdcn79k+ZbQANe3fmETDCNjQftQoJ9P Bvx+5IynuCjYfoZFNjOhEWpKN5hV31PwYFG84IzMGjRcsezJs/BA3szmF0Oe YyDa5bYU/ccDh66b8QkkdYKxv0bfmI4qwi2ptIXqJvhxdLM99QiiyU5KxGLv KuTrpolldJ9ABibGk6/ejIDRKY2lKX9dXNJSoui4NkB6QAYLy4o+RjN0f382 kgUxg7ejAuNNkaukSvbV5UYoLTtM8R83w+Itknznz6wB83qcDIeIOVYPxvAm vRgDQ03ld58pFqg7kr+r7n0n2D+2++XAaoX7Vt6eLp5vgN8ir/J7z1pjwHVN rkc6r4GxNOf0hjQBWVZ+Eo8F18P24dSYSx0EHJoZP/2fzxpkpvv3HLvigKNU vtljl8dh0je4qZbfEd+y+1be7umE0dwtEQlOTugnfO/MwNtGEMts1mtnJaLy PsY9i6VvQAq/uT8LJSGHqvUGW0EtZHMExYUcc0HPrqpT956tQsiddi6nNhcM ZdwWnmAwCQWeEj99L7qi7RZiV3ZhF9A2ffXRKXRDbdtQoutEEzBIzroJOZGR tfm30A6ld9CjKdv4hvkC+rTnxPNfSgEyPhxwmXNHHt1YBUWFGvBL36rLEUrB 8nPvd1dsLEL0E0E+S1kPnODf7dDQPwXKx3jG5js8kDtw4AqLZDdc7UyFpSol TL3wYsmA9xN4zjaTv5eoo/+ua/Y6ByZAdsvW8Zi7mtgmVn77ANssCDGSjtmL auPhuDdBR/x6YKJeT6XxsCFG7ihjUqf7wwW1EGfKsgkuvgzTfGBRSefbfaGv J8ywmmEnj8DNcdhdZLCa4HsOHWKkFMS+zYPCZr7djs3mOD2vUSlA7oXItYTX ufPW6JYr1SZKn4+D4S7DhUACvpZbtOtRGoa/TDuV4xocMH08lrHmdy8EO1T6 XfjghFq5bkcmpKsga3av0oYFEY3XZIqX66lwySoqumachKyZxvmatn1Q5HqJ x4bfFb8eOcfowzUAwfev9rdykHFlVu5afk4NfP/y+dWBAjJyTC948BylQcQk pIopU3Didd73nD2dwGAW9YjD3wN1+/13zOAg2MgPS18ET+T8lxR4XLgDbIdo +68VK6Pgn81utI/VMMbnH9/7VgMP38nlfMTxHeItxW5coRkijF4ZDTGkQWf0 resTx0zRNLZ76nMrXa+NuRyMOWSDFU+Erubp0+B3wVdtuWR6PTlkEson8xXq N3ZFu18h4k21nZX7V6mw12k6sJvBBUUvyLPab54CM09e7aJuMkp8+RTTUU6F qe2DtuYWFAwo8lyfWh+EDpfj9c8S6Pm8V+R4uVUf3Dx1PCfomBrmq5Wunb/c AbdaOS6EmdL9ccsk+eCrASizSX0W6WaAGro+bkeJqXDR/Q7rmQFTPDpLLLeO aoc+m8yUMCdzzKoK9usmDcGyHHNHRog1XlVw0a24lwpi5onSKQYExDA5z+Tm VpgK1Vv/+x8BnRZtFUOer8CZw1dVlWMc8K/HvyXq3WGwCnRjChAjotG1j+M2 5unAKtm4EZJFwrazVjZXW5pAlZMnzdbIBR+bhf5orFiFZ4/SXyYFkrFSiruC 1SQLnvxZIEWwUnDm59XLW9fq4bJSeW/OKwrucuJ+rO63Bt8ezX/+u6qCK5tX xNm+NUD4tUqOz5sROWjnYsW91qDGW8Y599UJtKnXFNA8NgZJSucCjrToI2MJ DkYpvoFkhtsfY4Lo/v3VibjH7+vp/GN5vtFshoy+/LuSb67Bx96vuZMc5njv uzZ1iTYOGQ2h59TUrNH1HcdbXd838PL4O2OKMAEj4sRmdnPWgddLXoG4OgK6 qJlO7x1YBQFfabYgsgOyt3F0xj6dgD2O2hzzf53QKj75cgRvHkw9/znzI4CE 2frDvGI+NXCo8F90nIQLyptXaNre+wFCuZmbqOfJGEs8WB3v/gGkhJt57wRQ 8HTif1wMad+A/c/N6xwe6jgoPzG4++0IDNxey1tiMsTi4VTxuGoqQF+Q0W9p M+w8/db9lMcwaCT4G+7tt6bz3qB0o5YKWdcebB2+RsBSx5SxAyz94N1f5j5f 7oCJnI1Jyz198Pxl+K/dhkRMqJT3ubOTBpIFCZwHe0l44GZwoYJ+N3BdTNV6 kUVGffWlyR+99PGz9U0eMhTUXNezmrdsB78tgUNtNoAXareWP9i5CjcZyteX U81wP5b9Oyq/AgrSjMem8wlYlH1w136pJTjC++lUZzARXUfNnA49p0HwpxJu o69kbN8x8alOlt7fZ1bi7k5Bnsw599NfJkFLqO+xbpsaLkfKdJH39ELTgmGa ZoEBfnHOfHf1Ng0she5lCTGZ4cp6ArMYQw88/XIicuytNf6NuqQzHUqDWVI0 X4UjAU8ral71tu2EG1y3/PVUiNjQN2Gr454CT73yt/RUkNDJRp+nZVc7mAeI eyc+IeMNFk0dTfs0cBAb4vnHR9fT52VMrCOaYZ+WkkLNRwr++ZqVv9lyFd65 RzZURqviWrpFt/p6C9jMa+U4WCJmzxbcEe5YgeyGP2GjfAYoGcPxh313Jjx4 H0D0fGOKzN173s7cbwaJv2c1Nq+YYaDypeZ3T1bB0L+e29vJGucy1HXc7DKB qEP/RomAf4/sNRA80QiZe+W26Q8RcMfWWzf9DdZAacn8wXsuIh5f8jG4SnsN csRtL26queCADdFK0GMNRpIPdSRTyLi+cmfCzjEX2qRP+sTFUjCMQT38+K4V 6OwVsO1g18CrA2+in2Z8hlmupI9UE0O8J5nH61BHBfHw4B/dFma4at4+kL/n M0wal2wzZLDBQoL4+FINFTyC/dZ+hhJQv03Mktd+HMqOJV8ZcyCigkRdgzC9 HpT8CeJxnyfhmIzQZIrTELQQRHclVNDrY1WLt1c3FZavvfcfOUFB5/yIah6t brASJ1VV/t996PKI7qeDHaBu6vXQMcIQzfwpUnxCNPhUybX/B78N2m96yCQi SAPZy4dmoryIuL4nWzx8gArnlKgMwxsk9DHS5LYynIDTA0fbutrIWHxHzr// HRXUGtVqdphQMEPKZ2vx535QUbplIWJugJzekbOGB9Kggfma0NBta0yLbPUs OJkGRiM05/CDRJyOdl+cImWAz1S3iLOeC4afuTAWIUDXH93BCwRf+nlMBplc dmZD04ogklPp8w8c/2xkuQb5x7Wb2YcBXSN+HzLxXYN4+yt5ylVmGKsb7AFG ayB0r8sp6xMBfbLaspsFVsElvIQrWdgFjTbYLBQ5lsGS2dQ/4aQ6hmbltp13 G4LzNs1eQYsGaLJrp4nEKBWqyUEz94TNUJp1t8CtI4Owy+v7izOt9PwP8V02 maTCLbltHLGXCLjy1LwowKQXov/WWwufIeKinjt7ux4NgpyFDVraSfho8R3L XbYuEHoXFGGXRsaPR6Yreg1SYI+eZijXMcBiD+MTcqM/oHpMauexBDMcXBFJ 9RtfhltHuhLJU2TM55Va3sFOg7HudyLiLhQMamVNaqfrkUeHc571p6th8+sm sYn33XC6QYTYTTXAs53mEthHg9H8u1pZ66a4aL9jn1J2F3gW541xpVtj0ueF h9lfaPBBaK/gDVsCThPcSOznO+CSR8HYeXkiRoRVXzv2KwVI1Szl9lFkdGC6 xb5Krz9eDM9e3C6m4HD9gzSX9lWQiBC+z6iN2Ks5f1zUfhWkUjt1vVkNcHP7 y+Dnjq/g0kjpOc05M9zXcy99+fcqiJqoEFMsrfE6UYJhsvAV2PyaN7LvJaA7 N/dhietrcMQwavbTdiLOyIda4eUcuKhcz3dH0QVLb7wbviq2BhJzaeOmjyj4 XnHOqix+GUgLV3wVwRDP2TF/4y+iwmvB4If2BmZYmOyfs+3wJBSJSNveXrXG n03CTOqFVNDQ3vT77X0CJsaEJ8s2jkJ++FDPNxsixj7YpHWHPr4na5sFzwwJ xXkbElfVBmCEtoVgW0LGHtvbX9d/UaFCeiOKUYOC/UkAg/u7wJFp84fEATJe YzWIm2ynwomAtuHftwwwx/Xi8Ue1KbDfISbgWrQ1CnJbTXhNpAD/TVvPlTcU TLrZ8SDDfQ0quyYUtHkQM33z+PLl14AlMe5uaa8ZvnE4Hi5/dQ3KywkD95oJ SFSp0+Wm6/35yRN7o6RdcLiCRf5myQrYpRxcs9tniFpbA1zyCqjg0sDxd2rC Gk8VBB7M+UAF2knTOFZTIjqtt7nUT1OBQbpmbfgtGa1FAsqWfWgwXV4pFXEf 8OCVBZm7w6sgK2g88e6NGT4UTCTbK6+CEbfP7OsGA5Tr0w1bUqFB5e4OyC62 Rp+Of5U7tGkQ+B75NYCI8rxfp5dWaaCtfkp89DkZhx+GZY6HpcL6cZ9apXEC HrCe+SfHuAYr4WcFL2u6IH/AoggLXX/c8JraMRpPwe83hE++kFsFD8WGzTtI hiiTs+YjPkKFbf56JXxsNlgKIfcch6hQ0+O8q5NExPzVR6lp9POV7depG6oh oxSzzsWnZVSwSsqMmKPzTat0cJGNzrf/vXfO8P/b/953/l///wG72gvw "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl2HW8lVUThuEDHAQEQUBaaVEUUBCwaOkuBUmlpLtLpLu7uzsUBVFRKUkT sAMBuyglvmv4/pjfzP08s/bZ+41ZC/K06la/a9KEhIQk4lTy/+eTyf9fP6Y+ Id+ZmJDwijxD49ZkCQkPqPtqvB9XwK/zD+otSDstLtE709rS5ohrYi39fXop ejHcB+fH5a3fTTtAa4Vfxpfxg/zPxD+0TrgNf6h6AT+Dv1+Xd0vci2fwZ/Mr 8l/Ep/FVvEddTO8afe/xnqYXpU9Xb+EV4PXm5cPl8Gv89/kv4qH4En6A/6n4 m9YRt+YPUc/np7e+Du+myIGn82fxn+G/gD/DV/Bq/ru0p/CjuBfOi8vqeZX2 Hu0fdSef9wJ9lTwE/8MroPd1fASXlz/Bk+S/9HXgt7L2CE5Q95MH0zfJ8/Tf LdfWf1ZdT31DnV09Te9MS35Sv0ivYM0iuSX+lHeZ94a6KG2VNWPk/Xqe5D3C SyUPo02j7ZI3671f7qn3B3VTdR5eGfUuve9a87e6Y/wN+mD13/T79R9Wl6N/ rP6T157+ov5B6rm8dLxavOsiG57Kn8Evz2+BP8GX8Er+O7QncBHcA+fGpfXs pO2n5ad9JP6gv0R7gVYT/yey6ptCmx73Qqygva3vcVph/I7IR/tQ/E5vR29J mxa/TSynv0UvSS+E3xZ5aafEb/S29Ba0geo5/lZav6sG71+RBU/mT+VfVL/A K6dvodwcf8z7i/cqfh0/Ki+zbrS8T18J/sP84zil+mV5Kn2nvEl/frl7XB/5 e9xEzsWfJ5fCO6x5y/qD8VzhDnIL/kp5EP6Ln8f6Q+qytJPqifKvetrwmlt7 i9eXNoA2W32Xurq+M+q66mvqzOpJ+qfo/1Mspb2pvzjtITxFvVFPPv3deDnj ncXb+fv4zfFA/CfOzT8hfqG1xs34/dWz+Gmsr8a7KjLhifzJ/LL8Zvgj/Ade wt9LewwXxF3xffGe6tlGe5OWi3Zc/ExvRWtKmyR+F4vpe+jFYl7hLjGP4j2x fittL60ZHoD/wDn5x8RPMadwE34/9Ux+at+5Ku+KuAdP4E/kl+E3xR/i3/Ai /hu0ojGb8GT1Bn5e6zvHHIp3AG/h7+E3xf3x7/g+/lFxMeYTfp7fVz2Df6f1 VXiXRUY8nj+BX5rfBJ/Cv+KFMY9oj8Zswp1ipsR7omcz7Q1aE9wP/4bv5R9U l/H5H6gnyBf4LXmN9R7GN/l95D5x/+XpOJVcOZ4P+TSuI1/C0+QMeJz1460v Zc3z+CT+Be9WP6Jngd5R8m7+IzFreCnkobRJtB3yer155I56v1M/r84Wc0cu iTfpfz2eVXV72vO8vupf6TmsOaAuHbNZfT7mEb2R/t7qabyUvEqxj6lrq/9R p1eP1TdO39P6GuMT+Gc8n/8arQjOjzvEXIr3W89G2m5aY9wH/4Kzx/wUP9Ka 4+diD4y9StytZwxtbMx5MY/2qr7CtHz4NZEt3mlxLt4L+rO0MTGDxFz6Lnoh et6YPSJr3MuY8fFM0hvGXof/Eun8vdG00bQL6pZ+71P6GqmP0y/E31QXoc/R P1LeyX84ZgvvGL5DPUSeSN8ur9OfW24fs1j+FjeWs8QMlYvjDdbssv4A/gO/ JDfir4i9Hf/MzxJnD3Up2gH1+JiD8VzzGlh7g9eb1ivepZidOEXsi7H3q2up /1SnVY+yZpQ1T+p9Dh/D5/Fs/g7aQzGb8AT1Wn4ua1+K2RdzBq/n7+Q/h3vh n3Dm+H7xDMazjOvze6qn8O+wvnzsWeIuPJI/kv8E/1l8FP+IZ/G30wriXLhd zL6YTXrW0XbQMsU5SHwbzx2tHm2EOCdm0rfRH4w5hdvGHIo5Y/1a2nbas7gn vojviTON+CbuMa4be656Mj957F+xT4o0eAR/OP9xfkP8Af4Bz+BvpT0QswmP V6/h57S+TXy2upE6Y8wb9Rp92/Q1xD3wBZwxfpP66TijqL+O+0Kvo6+7ehIv kVeW94m6pvo3dWr18DjX6iuprwE+gr+P8yF/C61AzC/cGmeIOaJnNW0rrQHu js/jDHEt1E/57HfUX8W9odfWd4h2ndcr9jT6+ni+cTK5TOw/cfbBNWI/xVPj vI1fiTOW9efVLWglrK2vPkz/Lt5HdeE4g1mzmXd/zCR6cnkwfRxtm7xa331y q7g26ufU6WOPlovgVfq3xH6mbkerz1se3xX/yEtv3X71k7S31V/GPaTXsuY/ ek96/ANigjqpunScsdTV1b+oU6mHxZlEf3F99fAh/C2eyt9Eyx+zLM7dMbdi RulZSdtMq4e74nP47jhjiS/ifuGaMf9jbxYp9bwc8532TZwlaBv15aNlw5tE Oto+8XlcS3qNOMuLr2MfpW+g56VnxRtF2th/xNn43vTqMbNj/xYp/L2hca1p j/Hr4oP4K7xLXSj2GX0jYp/h54k5xDuKE9WD5LH0rXHG1n9vnP3j98lf4Wfl dHGekQvhFdZssP79eH5xW7kuf5ncBf/Av8v63fEM4ifkvXicfCa+H7+a9f/y esQa2jp5PE4SszrOtupq6ovqO9RD4ntaU0xvHXwAf4kn8tfRcsfswi1jNsYs 17Octp5WB3fG3+M0cU4Sp+NzcFV+Z/W4ZPHAerZ4F0RyPJg/kFyUXxu/j7+I ecpfS8uFM+EWMQ9j3upZRltHSx1no9hvYy2tCm2A+DxmC30NPWfMrjhLxmyK eWn9UtpaWm3cCX+H74xzTsx/Wi1cOc466rH8W/iJ2PNFIh6E+/MfjV78Hj6L x/FX0+6LORV7a5yp+Tn85mYxg2Le4iX8NfxauCP+FqeKPU/9eJxhYnbxatIr 6euoHsO7iR/nnVJX1fejOpl6IL2fvkdiDX4Xn8Fj+ato98bMwqNjn+Rnt7Yp 786YxXgxfzU/ZZxHxMf0GrSKtGv87vo7xP4mj8Y3eCXjHse/DXAV+RyeIifF A/h9rX03viNuHrPH+gVyDbyffzqujzUr6Tli7uBk8SzoGUXbIi/Xm01uEnNI 3VCdKs7PcgG8SP8q635Vt6HV5C2N74q/4aWI90tdkvZqzCl+dfoz1lyld4uz Bm2U+jq9hJ4T6sr0H9RJ1P3pffQXjrX4HfwZ3ql+OK6HvhW87DGv6CPjHeVl jfNjzKmY1XghfyW/Bm6Pv8Z3xJkr3kNaNVwhZib+PklcDPeU1lv5qRhFW64v Gy0dXhGvEm1nPA/0qvTytF7ik/ge9GX0rPS0eLlIjDOLOEmvQi8XsyzOIeJW nHVpPWmF4vv4+2/jj/EO9UN+zwh9w+Wl/Cwxf3gfxD1XDwifvjl8/VnkxjF/ 5S9wAzkFf4acHy+wZpn178W+gVvL1flL4vyEv+Ini+cR78Ml5O14rHxCX2V+ Weuv8LrGmjhLyCPxf7xieo+rK8U5Un0zztH0HtY8HNeL9xb+CA/nL6FljtmF G8U8jL1Ez3zaUlo13A5/iZPG2Sk+n1YJl4nzl3oE/19cNM4y4gatN+7Ofyiu OX8f/hC/wl9My4RTx/kw5mHsR3rm0ZbQksR5SRyjV6SVjpkT+7q4HudJWjfa KTGMtoh2T8yyOLvFrIp9yOfNpS1OSLj9n31bxFH6M7RSMTPi/CL+i7MerSut YFxf697EJ/HL/IW0jDGn4nrFfeJndm0bxgyKvQHP4S/iV8Vt8Rf4Fn5TXVzv Zr0f8CrQn44zp3o47xouEr9TXVHfl+p/48xH76LvwbjOvL34BB7KX0DLgFPG tVQv5meytgEvaewbeDZ/Ib8KboM/xzfjbKDnCK08fgpf5nWJMyhttfwKvsor HPsLPoqfiecYT5avxVmQ39na/TH7+M3kB+jz5Yp4D/84f7u6IG2ItfP56WMu xa2IPYQ+jLZIzz1xFouzirq+Ogl9upwTz9K7wJqf1a1oleP3yq3xWd4N3l71 Y7SNPuMwvxz9SfoleufopQ1TX6EXivugrkD/XH2V143eSX+BeDZ4b+BjeJv6 QX2D9c3j3R1zK54J9UJeRl69mFex7+GZ/PmwEm6Fz+DreIOeQ7SysZfGOxjn LHElznu0jnFWEoNoc2npEm8fFRLmxblTrKcfpJeJPRB3iNkjBtLn0NMm3v4v 0YS5ceYR6+gH6KVjr8LtxZE4H9Bn0+9KvD1iE0qIl8Rh0Z83i5cm8fbPSSge 7y3tjLhM6EJvRzsk+tFm0lLT/ge2a+P9 "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl2Hf8lmMUx/GflqJokZCW9pb21FZpaYeGtJdRWaVCJbT33nvvvffU0FaE rGSrkLzPyx/HOZ/v91y/+3nu577PdSlrm+4Nut2VkJBwLGlCQuR7kyQkjE6U kNAb7MftRFfan7RztLziSRpMSEkfo3iddgC3F8VEYpGKN5b3Bu8g7iCKi3L0 vfQF9L/weEFKuM9/xtHfpB/CHUUJUZ6+j76Q/jeeIHzUhPvp4+lv0Q/jTqIb 7QbtPC2fKEmrQNtPW4T/wedwGx+wKm0iHo0zJf7/C9XXk84fn4zfwcnIqfkT 1G/zcvNW8I7QN9Irq3PyOuPu+Kb6gr5K+g7x8qtv0PupX+R1of+hLqW/Iv0A bbGeovTN9Nv08/QX1VNp1fht5B/wJN4Y3mPqkfFb8RrIF3ADfyO9eoq6X/we 4eu925o08kRaHz156Cv1HKVvoldRT6Tl4j8nf413yl34Pfi36EPxRWsry4f5 G+UC+Ca/P56L2+rrKv+JS1v7FO8gbYm+f/EF3JZXnTYZj8WZcSL8rJ4HrJ2K ++Pk/LT8Seq+vGN4M67Kzx3XwS/jv9Sf8atYe4RXUH2LPkD9Eq+Mvkr4kHpp PLP6tvDu0C/SX1LX4E3B43AWnBg31Pug3ml4AE7BT8efrH6H9wnegqvx89C6 4Vfw3+pL/EKiLK0y7TBtWbxUYmo867Ss1iWhN6LdQ0tPm4L74ePxHIlXaf/Q LtMKi3K0KrQjtOX4LjEt3gVaNn8vKb0x7V7aA7SpuD8+gbfi6nry0nrg1/Bt 9ef8IvEO4nf57Wjl+VXxUfUKXiLxGW7Hf5o2nT8RZ8fJcBN+StqDtGl4AD6J t+EaevLRXsY98b/qL/hV3dujvCfifaa/p55Hax/3Ur6BK1hTjXeMNjieWb3F 5K28dXJifInfHk/DNfW9KF/Du+UZ1k/iP45H4bvjOYvnGG+Vm1qfQZ6Ol8rv xpySE8XzIqeyPoN6enyn8GPuyav0n+Jt5z0d7zf/FdwL31FfiXdZVKRVp31C W4WTiJkx48RD9Bn092ifxm8d74uoQT9OX01PKmbFjBMZ6TPp79NOx+8neif5 f8h+Gc91zBv4NO2EvjU4mbiMO+ipRZvNn4xz4OS4Gf+huE/4PZya/zB/lnpg zE7eat4Z+g56TXUBXk/8Or4Lf6Wvmr5j6mIxW+nvqzvo606/qa6svyb9JG2t nuL0bfS71Z/TO6qn02rz28o/4jnWTOHlVI+mpYh3Uv4MN7cuo3qmepn8fuwX 8TzoT2PdI/Js2iB9Z/FOXCtmp56C9Oflq3iX3Iv/Bj8RHhazz5rq8id4k1wc 3+YPxPNxx3h/5Fu4irW1eKdo6/QlF3NpU2m5+PfQW9Ae1j8LD8Rp+Y/y58Qz zTuHd+Ha/EKx3+I3cWJ8lV/D2uPqEjFD6YPUnfRV1Vcbf6pezyuhbzsvhfoL eif1M7x5+qbh3PjemO/8R/TOxoNwOn4m/lz1B7zzeDd+hl849hD8Fk6Cv4m9 VNzBg3FnfjX+M/i0ekPMMnEFd+bXoc3nT8d5cMq497FH0R6jzcND8IX4DeJd EXXoZ+gbY46JBbQZtLzWp6K/EPsELTNtPv4QX8R7cB09ReJZwG/jpPhbfqm7 /j8sfIC78GvAuvyz6k0xu8SXuAu/bpwx+DNxPnwfbhl7AS0LbQH+KOYh3ovr xgyL8wfug5Ph7/hPu96J2AdjTquHqBfIXWMWyn/FLLWmnjXn4t7H3h/3V97B Wx/zB3/F74pn4Hr6XpKv4z3yIutn8fPjMfj+2E/kS3ib3Mr6R+U5eLk8OD6n nCT2JDmD9VnVC+nv4o/155fX6L/E28erpy4a5x7cN84S+Ht9ZURNWn3aef4W fJ9YHLNNZKMvinNDzKC4N/GuiAb0C/St9PvFkphtIjt9MX1YzIS4lniHltz1 foi9VNSmPUu7qG8bTi2+xt301I/9nT8bF8Cpcet492iP05bg4fFu4P24vp4n Yy/H/XAKfC2+k+9/Ul0u9j31h+puMd/Vf8c7pb+h/s9o2+PZou+kp1FfpXdX z6Q14LeTf4oZZc0cXkH1WFqa2Kfly7iNdZnUc9Ur4hmNey0n1f+IdTnkpbQR +grQ1+q7Qj9AbxAzN94J+jdx5qP3p9+jHh5z1Jpa8im8WS6PE8sf4YVyd2tf lf/B++U61jey/hJ9h97StF28tOpv6D3Uz8bZQ99cXCi82HPjOaPlpC3DI+N9 wgfxs3qKxzkED8D34uvxW/rbn8YeH/tiPHvqHvrq6mus77J6ZzxnvN28dOpv 6S+rG8a5RN88XDi8OIPo+1zdVt9j6nnqIfRM+nLpW64eFe8TPoQbxkyNfR2/ i1Pin2LPjn3X+qH4ZX49fhP+5+pdMbvEd/gVfiPaSv58XASnj/czrk/LTVuB R8czGteId0U0pX9B3x1zTKyiLaA9Yf0D8czQMtPy0FbiMfFc4cO4kZ6ScWbA 7+FU+Gf+U7HX+8zD8Cv8Bvxm/CvqPTG7xPf4VX7jOFvwF+Ki+EHcPq5p/Xz8 Ic7Cz8tfpR4bvz0+ghvzS8UZBL+P78O/8J+x9rS6kvpu9XD1IvlVva/Jt+O5 saa5NV/GzKftjXda3sPLoP6B95p6Fq1JfCb5Z7w35pG1i/hP4nExt/hN5S/w drmD9VnkBXhlPN/8PnKyOCvLWa3Pp14d9w6P019QXhf7A+8or0nM6pj19G9j r6YPpN+v/lV/ZdGQ1oL2lb59cXYSa2PWifz0NfTx8XzgQfEuiefoX9P3x5lF rItZJwrQ19InxG+DB8caWmrX+41WRTSmPU+7qu9AzDJxDffU0zT2ff5iXAw/ hDvyH6cVpK3DE+O+4mO4qZ4ysc/EteKchH/n1/F9z6irxvlFPUL9WrxP+l7Q 9436IK9c/Ga8R9Q/0nupm/E60H9Rb9C/hF5cPZ6WMc6X8pU4r1iTVb1QvSre dV7fOI/HWdS6QvL6eK5ok/QWktfHPOZ9wmumLhvPDf4Ap8Uj9Pyht658Fm+R q+EU8ki8WO4ZZ1X5X3wgzvvWt7T+2zg34EP6y8v7+I+qr/N6x/kyzh96l+IS +GHcmZ+TVpi2AU+O+4CP4+axX8TfxENwOvxnnCPjPOTvj8K94n7wW/G/Ux+O uS9+wq/zW8RZhL8Ml4z7jLvws8U+j4fiXPwi/I3qKfF58Qncgl8+ziX4Q5we 34izY5yhrB+Ne/Ob81vzv1cfiTklfsZv8J+jbeYvx6XifuCu/Ny0J2ib8NT4 vPjjeA9EG/oP9KMxP8QW2gpaaesz0eMflPLQitI242lxPXwSPxezP84H+CP8 AL4Z56Y4j/nMY/DrcV7lv8i/pj4W77n4Bb/Jfz7OEfyVuAx+DHfnZ7d+MR6G 8/Kf5G9RT4+1eFh8B9qDem7R6uk/p66pTqUeq35Dfy/1nbiO/rb6f4x7HP9v oK+CvJ+XVf0r7y31bNoL8R7Kv+J98f851q7il8UTcOb4HeQv8Q65R7yz8hK8 OmZnnEnk5NYclfNZX0y9lT4Qz9BfWN6gf21ch3+K/zyejCvqayV/F2cA3lBe BvVfcRaIM1rMP/xmnBv4L/Gvq4/Hsya2xywTxenb6DNpv+ER8e6IdvSf6Cfi PosdMctECfp2+iza73hk3GfaQ671d+z3ohWtPe1nfSfje4udtNW0cvqyxNk4 ZjOtJG0Hno3/wJ/iF/Q8Ffs4Ho4z4n9i/4mzpO81Hr8V5z5+B/4v6lOxp/MO 8HLEd6G/rW7J60T/Tb1L/xp6+fg96S3oX8Veqj+Heql6TcxGXj85RZx9rCkl 76QNijO23iLyxnj3ead5LdVTaJXiM8nf49FxL3kPq29bU59+Xl0nzrPqCeol 8tvW9JbjH0UPym2UHdW/0j+Os1Ps+/LBmL1yzrjv/D54Tpz9Y2bJv+Pd1q7l VVBnizNfPEO00rRdeC6+gc/gVnoqx7kjfsM4g+J/Y86KNP7eRNwnznz8Tvzf 1Kd5ueJ3wn35rePcwV+HK+LscQ6I+Wn9MjwSF+GX4e9Wz+M9wdsUM4B+lt5a XSXOH3gUfhTfiXdVpI19Avflt+V35v+uPhPzSvyJ3+G3oe3lr8dP4cdjP4hr 0crS9uD5+BYeF++C6EL/g342ZpfYR9tAqxTPT8yE+K6uvxyPinOt+p4k//+7 eVG9/wHCR+JO "]]}}}], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwUm3k4lG8Xx+3Zsi8zQypaUPxs2XUf+77vsswMxqSyVpYQki17VIpSoYW0 EKUsIbQhWUMRSZkZ+7698/4117nu+z7POd/zfeZ5PnOxnxho58vEwMBwlJWB 4f+f0/ObFkak3uPDRVzSzAyjKKQkQtngbiVi/2yiqP16FIVzUUnYu83I7QD5 oE3IGLpQX8rAcvcbSm5p/8k28QttXb9kuVY0jrw/FvM+fP8b1bPMLywULSDN n94lt+KmkYSWjPFcETPEPxpt6T+zgKz6WmZnigSBOqUn2JuyjSD7Epfh2QMw J3WcfeMFJ/AvOD3L9paHY94yH7q1BEDCY79DUqo8kC9ViM5bCsDRtumVqOfy ECGkkseOFwCTW7GIvCMP/xXl0HAJAhCj/7jj+K3/QEu8//23TwKw/CFm+dxJ BQj6FT+e6ioI3rhuIam7iqDFmPKp7IwQ+FvXTBZWKcLOF6n6azFCEJRQ8ArT rgg6DPIcYZlCEEMjufPMKEKL+nkP0edCcLNp4/6athLYCX370bMgBF3+B5W7 BpTgYsSzQ4phwnD8TbhtNJ8K/Hr/Rrv9rAjs6/7bcfugCkjcMoyKvSwCjH/d LBo1VWDpb3OU9DURaBHRMWb2VYGzscH8xjUiYBbCqJPyWgVYEwtOv14VASeZ VOk84jHgqlAXNgoXBXXYKKkOOwZ2jZvY8SRRwDqflhpIOwZCg4MJp6+LwnCC lYRYzTGQnnwRrV8tCsRRAaG7XKrQ5JQvuT4vCoHXb+2UV6kC17+l6/pkDNhU cEd3fFCFm6W3IuPPY0DpffT6zA9VOPnIx/9hAgaW572WlDjUYNbH99GDIgxE WR2YfuWhBlEzmc6kfgwksz7pa2FTh+I71P0nERb8xSUcJsXUYakuPnnQHAvm yplfdymqw2LKWuRhFyzwEII/m51QB4Na+0qXICzkvj3W1PVUHQ5eMS1Zvo2F otD6J8MuGuCARdoyi1hYo9nJ5p3WgJixHhbrLSzY+f8ptYzVgFDXU78N2XDA QuArqn+gAQ91cylFojjwGC4WD3ujAQ1zD74y7sNBtbNG/n+dGlD8a8ZZThoH ZCtiTtGyBpj3CD4dVsPBuw/LPK6cmhDH2xTmjnCAM7xyhV9CE7TYvjXdNsLB Z62qhHhDTVgVP3WK4ICDgzUmjFqumpAo+K9i2A0HMUoj0QunNQHTGnyMj4AD BRm2MJ9cTXCAXNbc0zhIKb65IP5QE17ZxTWNBOPg197/gnrfaMJt5v1Pus/j QOtWMyW9UxMYnlZOBVzAQa6Iy0mjcU1oJPP5VVzEATWb8nt7WRMWTcZr0i7h wGh3HLGGUwvW9gQfZ03CwZ1k4Z+BElpQTGX/JZCKg1XmxyeklbTggrCvy7M0 HNhePD4waqgF/VLmn/ozcPB4vdsh31ULVkMaxS9l4YD5vN9X2zNaoFzBU1SW jQP3uQ1Lzjgt6Oo9oWqWg4OXp7M+NuVqQXllgZYzPeaZOmB84aEW8HW8C/5I 30/yft2s/FYLOCX/Ldyk52v4YQmUTi34xqlu0EC/Hsbt19vicS2IPfqdXY5e T1DveQ2PFS2gXNtjOJiMgw82XNXCXNowo/l5viYBB5Kf7yh1SGhDj8sDs7f0 /i8YqzxNVNKGA87yXgMROOhpaj+CjLThDabceCsEB3LHPR6uuGpDheOzf7hT OEh8PXfg2RltKC//NbaXiIOfKol3yXHa0FYnl7fmjAP1ZziJ/XnaYMNV2XLV AgfZR57eHHyoDWuZ4csD9Pn/K9UXzXmrDVPVkm+fK+JAX3LgqlmXNqiFbhiy SuKgoPA0H/OENlg6JVW84sPBEoYx/c2KNvxiGXd9SvenVW4ex1kuHViO7b/9 cQoLD3hlE4/u1YFApZIPf79igeFKPdNvJR34oyuK/fcKC65s9hcLjXSA6ClV WFqIhRdxfzYc3XTg1+QN1dWLWODauhDOE6ADqmVy1S+9sOATzrfUGqcDTzvn v1ZqY0EkUIOm9kgHqqQDZ2qpGAj898V/9q0ORGXfkvF5h4F2X+Kfh106UOaU s5KRjYH9Y8vehAkdaBoPvMDuiYFI9yuj2FUd2JaMCik8hIFv/Xs9urmOw0vX 9BHctCgcta8aTN17HIoypdqsykThh+lI94bRcdB/FZa4R0IUBB5srbu5H4fS QzeePfwgAkYsElK1wcdB7LV5pU+gCDyp9wwNLzgOy/vuEnY9EoZRsYu3+p8f h2hMZ9pfbWEQirjTrNp2HLi/LdQzfhKCKOVRwaW545DZEG+O7xeEZ1kM2g67 EMiPFK/KOgvCOHWfT6U4Atv/hLljewTA7CGhKtgYQcVOjpphFz9g94w70AoQ qKdWceNGecEikjna8gWCqgzi4DFmXojtlyopb0NgxxDWUCTHA1PZPkv+8wgc 6z69uHCdGzLCmnh+MwPcuxBxNrKPC6RLu+/l8gCwRH8/MCnGBSeYFz4uSAGE DYjZKr7mgEVFZq/78gC/pk12lfFxQAZecMFOAyCNv3Vv6xl2aKpTFnthBbBQ ZCR/UH0XyIafPRUUAVAXImlcw84KLaUJO3sTAH7IMm0TklnAszf3amcGAANb ZvQJbhbIUXr5Rr4Y4Ctr/ZHH+5jhKOG99Y8KAE5TY9rrZ0zQmtk7nv4aIDNu +Wq6AROsUZa4qB0AyjcMRhjDGCFHjK2oYBDAKn5Xi68wIxw1E1GxmABwSF5g FKphAPwDVfeyNYA+5NY6yswA7YSw8pMHdOHYYZGvn2O3EDErCbD/6UKxGLtT PGUTbdZf72nX0AW+vS6Jxz020X/irzYPW+tCg2srt6TlBmo3a8/qd9UFEdYL Qauf1hExYuBAko8ujCySMpWt19G1vlWLyQhdIJV6PjYgriEFVo6xvAT6eZ0u vp65VfRRGXvOMFMXXt/Rm9e8vIq2szQKi4t1Ya9V+FOemhXkax5JJXbqwqys wPZl/WW0T3egcHRQFzDUpiO7ZpfQsKqqleeELjRdunfN884SspOcr3Bd04Xb wXteKrMtIR6MjVc/sx502c7vvVy3iD7sruB15NGDAIvkgw5hiwjWTgbZSOnB ffVuZ9z8Atqkte3rkNMDpgzLvn8vFlDNxMGv5up6oOwRnz19bgHJd40pGlvq wc9nopZqTAtI/IHrgk6YHuyG8r1HlObRQEHN/TdxenB5Tdu+nGkeXc0RdtBI 04Pt4kWLnz1ziDPma5XKXT34952f42DMHGoN/c/3RZkeeIR14iQc51DcyXRh hWo9yLlhn50nN4dWHUzPH/mkByKT+v+6fs2iKrMHhx716gHXNwo5pmEWBQJr /6FRPbD/GBsRXTiLJo+8U5Nc0oN80cxEY49Z9I1JYw2zVx+mPDKVGftmUMbq tUfXZPRh8Mnu5273ZpAZbdFVSEUfCqbO/GoJmkGNg89qeU31wVZI50K64AyK 6uQ5lW6vDy/bS4Q7/tCQ2vvTYlye+jCLLeSfqKOhimfSUWyh+tD4Ti3cNZCG /EsTjyZE64M7+4DUHTMaOlgwMcyYrA+Vl7oFEg/TUEFSkc5WgT7wALaLfZKK XKK3qZEP9MH4keq/9DYqEgx1v736XB/i64UEkh5TUaonZmehVR/M0txJ5Wep yMjh/NPgr/r057hdQ8sJKmI06/GaGdKH9/O+T2UMqOgtUuI7M6kP+/nDNr7K UVH4sazGf7P6oPjo7UYVhopUjtCCyBv6YBA+rPORhYpm9lnsn2Q1gAm16JMc 8xRE4maPH8MZgI5vasxkJwVJMpGUvA4aQM6Ctva5RgoaWWn+NfyfAbB7C/Tx vqCgG9T9V900DcAqdTDiaTEFOYxf1B8wMICkqfOuljcoiHdwZMHR2gAk3TY3 fqVR0McOreJvrgZgIuGr6x9PQYkt+Q62PgYgbi/PMxJOQbq1KyydAQbAIcUZ eSyIgtSJf1RuhBuAP62FRiFTkAJnvw8h3gCCfrTNEokUdPhFa65smgG89cWK X3WnIAm36paFPAOoUjJzi3CmIGGm0sW3dwzgFd7oOb89BXE/zjuQ+MgArqMD 0i7WFMRsd9nButIAKpPj500sKGh97WwCps4AAmevR4+aUtDcXZ+qsVYDqN1H 0BQzoaApU4eJx10GUC2hVrRkREGjc/pCZ78bQCH78OnT9Lg/X9lAZ8IAnEXD 46LocYeu1Fk2mgG8YLJpkDSmoNa/AsWdKwZwVPnPLnd6vrpspp4bjIbAaiCJ P2hGQVUa88xELkP4+OC9YBS9nrKxMeUjwoZwiIl23oNe772Ur96LEobQtFwz 0mpHQfmK767WSRtCcvT92y+dKChr8FlzopIhKFbY6B4+QUFJcUUL1tqG8Ilo dwGLp6AYmSwprJEhXBDbZE71paAzEYGXylwNoXxH4M9wMAX57PeqPOttCGWr Bmu19Hm4f7Aa1zljCG8qP/fzxFKQGVZevyvWEF6dDlXhy6LP692e0PxUQ1i2 H/j1mj5v9ZO77xNzDUGdRX72610KOvSawrT0wBCy4n9dM3pJQXsIw0r1zw1B lLF36k4DBQlxfCYmvTGEnfdyMoSPFMTkWtaE7TQEN+aoWeExCvq5ejL++LIh uBDlliQFqaivyPXFLgYjSAxzjLy2j4o6TEx/dXEYQcyN39/85On+vyGt573H CO4Zs37Ya05FN9T/MCYbGIGOyY3+j8lUlDnap2hrRV8v9DwmkE9FicmtBJyL EaTrBFg/e0RF5wZK3pWfMgKGSq1+6icqsgv3ifuaYwRlD9kW3YVoiOvVGIPY mBE89vh6taiKhmZtrifWTNPjE9l1k59oqOevBbfDshH8d9C8JXWchgrFXomm cxmDuhzT6DT9++S/ixnyO8eM4VxNYQ5fxAyyN9JyH081Bl5M/0yU7CxS/zk7 djHPGFoP+uXya8wi8fBSP/EiY/Do3hvbZzyLfj/iD3V8aQxHBXmPzfvOorDd UyltP43B+d/VY5HFs+hWT25NmYoJFPB/M5Y+Modiz5jpmCATyN5kLKFpzyEf NobmCVMTkB0/GUaxmkNy6qc69niZgG9YDy47dA413NL9nZliAqb31DivNsyh cSJN4OwPE8hjLOZQ955H7Rv3b/D9NYGN3L5PfeHzqDzXVeLJgglIe328/CZj Hp1rbZGZZDeFiZ60byfezKNdsrfARdkUnnJoi4tjFtCROeMA7WRTmKSO8E+P LiAL7czQAzmmUNPu2f15bQGdTuoL5y4whT2bSVcZBRdR+R7fS8NPTSEm6+8z f6NFdNQs/kZUvymMU5oZAp4vIou8D4U+Y6YgjCaLsF8W0elRvvsW06ZQf7hH 9fDfRfTk/J0n4jv09Yq/IsGSS0j+/tumt4fMYC44ho3h5hKyojG3FyuYwbM2 zdqNV0soQMP8S5qmGRyQ47l7emAJPe0c7He3MgMlVLXzCrOMFDaXKZvnzIBH 9pGV1Z1lpOSoKKrz3gzO0ma1TNpWkF1RuPjBTjPIaZHq4Z9ZQSHTDft3D5rB 392fQ5NEV1FlnNXREYoZHN3YzZ7sv4pUKk7pRguZQ7GDooo7dg05rL0w8pUw h9InIUeYjdfQWYN1c0tpc7i5cH8r8twaevk92WmPtjk8Oex0eK5nDanuKj1V 520OtpUWwZdvryMnO2pQyRlzeGqXlgzf1tH5QpXz6WHmsHs5998i+waqUW6O 9bhiDhLxV3fcwzaQOn40b+uFObRE3R95iN9Emq9xjTpMFrDQohZC89tGUZ+e ji1wWcAJ49Gus+XbqH7EgPmxsAXwF85Ks85vI12mQCMRGQvY6hswl4vdQSbm zZ9p1hZgtuvjmSF7BnAeOTV4p9ACOHsetd5IY4SzjHXzjBqWMByzLm6JY4Gn pl4HWwOtgJ+V9FRGlQPqOPm2+VNs4Pf7NYxZHz+E+CZGbKbbgPLK/sCWKX6Q btxcnMyxAdtwURHVDX7IOfd3+k2BDVDVYw7v7BUA8mjToO8zG1jF/mQ7fFIA hKrPvXzdbwMNF4xqm9YE4DRh6DThkC3w/Thy8YOgEEi+tZ0yP2ILg3OPtYUO CkG/SLu3qoItdCdKxzuoCoHe5yo3Lk1bOHlJw/OlixBg1DJMXlragjmJzX65 QAiauXUPcJyzBfuuPFYfKWHAvSodetZsC5JNsRTbw3Q+4GJgYv1gC+Q6Yc5w dREI8XSVdu2wBR+BekKGqQh8ZOE+xzhoC2Zt4bgrp0Tggm0wjx3NFjIPfdrV WCECw/+0dBcwdhBy1aiMpigKt/d8LT0WYAe+F5yUPstg4GOQ7JeUUDt4Oy0v l6OOgeXmSwsj4XbQdJn5MhhjwMpfFRIv2cFWBap18MHATvWtwb4bdqA8Zxpl XYgBvA2JO7zZDjbG04MkObGQdr9B6XO7HbyhPXyrKoqFV8sY130ddsCh/Wff kQNY4Cv8VNI+YAcLBgsmz3Ww8O6vAsLS7GCi95LynkAsSF7aCK7F2MPHm6rq 9z5i4efrC6VLe+zhDHtkh1gvFgpmN74rSNlDQaPxd9JPOs95buo/kLMHwxiF uFMLWODU2BLO1bMH/ctNoYxYHLQFRpt1GtsDfq/S3cH9OEgo3YrhtLSHaLkK 9XOyONgW3P4T62wP86Gp4VRNHLwxixF/624PKByj/F4PB+Fx2zYrBHsoGvI8 52SGgzna9uszp+3hx9z17/kuOKg4eJH2MNgePHzHHhl64cDffUdy4rw9aCsM Wt32xcHhqxed90bZg/+hYd4iOm9PfNi54hZnD+mrxFmjYBzcZYhtzEu0p3O4 49OM8zjwVGNY6rpiD/84WF+FXMCBWECsDHc2/XolyrI0Ot8PFDN4Gl+zh7B9 /nUbl3CQNxSbE3/LHhp+TvXmJeHAToCxra7IHoyOBzlVp+KA1zRuY7XEHtS+ N713SsfB54uMCipl9hB37SJnUCYOUqrjfAKf2QO/rkrJehYOjKiM+Y9f2oPX JbItLRsHzAfiv/yutYexpwEOejk4aHRjYtrfaA+EkRQslb4enR2v6v6eHod9 dJ6gn9dsZzp1/aM9bCnhFsXp+Ve24+90d9rD87WjvalpOKg6xtyzu9ceHJza du1PwUHw6Uvspt/tYXHinfvXBBzI32fWSfhpD83xKrfS6P1OD14KbpiwBwnP NnW9CBw85GMpXf9L7/faOzRK18/XOOH7sRl7+JYuRbY/iQPJGBbe4EV70NAf yUukz+NnVYJ++Zo9KBrZKHs74KBgmiX8z7Y9WEzMl3QZ48BV8nK5JIsD0NTW /Ko0cCDiyjrmweEAVYpHV+dkcNCdeVk4n8cBku3xrv4YHGS2spr1CDpAY39n xiYLDiy2LsfwYh1gNWLlU8IMFthV2CrNJBxA5k/y8nA/Ft77J/65LOUA4el8 OsN1WIi/yyb+TtoBmj3teJ3vYgENJNpsyjlAQvTzA3vjsbDJs+uymrIDtN/p SGXGY+F81C7aEx0HUB0OOmEjgAXlyiTJv3oO0H/ZRNtsEgOzf3c5HzBxAOLy vd+XqjHwZF/yFS9LB6hlvOHzLh4D/s7sjTftHIDp0VrbezMMHM5IXux1doA9 6rJD9jwYmGhhl+H3cAB+hYP8/30RBU8ljpwkPwdIZ3l18LeWKGjo2SWST9Pr b+Osm5kVASG7W5GmwQ7wtd/UW/GuCHwIlvPmuuAAL4MZ4hfmhaE47rwz5aID zI7cOOGeKwwx2Q3mXxLo+p4UVe9REAaV57YqmRkOcObzn4r8E0LA++6mdNBV B4jb1E279k8Q/nWNi9vecADbLLW1/ecFoWj2HKvgPQdgi4x7HJUkAFwKN/uu vXQAa5pARu0bPphE4x/Dah3AXzWzMd+GDxqtjza4NND7k/2ZQ/jKC+cD6x/g PjiAweEqGsGAB2wv7irY+ELXr32EOJS4G45m2mQNdzvAVvzaB+FObvhV8Sv8 9rAD5NR/+ykZxAV19UfOXBxzgOIqvTf32jnhRsdZAn7SAcQ5nBZ0DnGCJY3N THLWAYqIO4ePzrLDK7kjYqXMjiB2nLg1VcsGV3XO8iaxO8I0RbdYR50NAizr mMm7HaHTt9v16mtWkDpjTZERdYThoaf/tbWxwHbUjVFOcUcYlB094u/AAgNp Yz3T+xxBJ8X99/UJZsgoD617IusI4cdJjw/xMsPJt2+fZ/znCMFfuk3tHzGB wWfW0kAVR5C6E/TurhETrE1fz1A87gh/Vj9/0E9lBJ8jb71e2jpCtsi/XfuV GQBpsTpcc6Kfdx7OrWnbQThzK5OwE44Q/6awT0B+B3X6jypo+DpC3Rv7unH2 bfQ4UuYgzt8RnlXoDfFFb6GE1BDsRoAj9DJ2ZeUs0Z//j1mY6sId4W/Q9USe hQ0kXGu5XBjtCJQ/Lxra6e8Lsx+u/YuJd4Ra7B1XZ4YNVPpX+hukOULZCb5D UeLriF/GsrjljiNUv3v634/oVURUjNDnLXGEpsdeezVFVul8U/LL9bEjRMVd CMC9WEFOZlv7Zqoc4YWczq+FhWX00E6mUaPWEbzN2M1f5i+jNTdHr4QGR8C9 5c24oreMCk49KcR+dISkWXSQv3AJ0UIHtX06HWFic3ss02oJoSjW4YoeR9AI 4JRuYlpCv9I8cAY/HeHEE+tfUyGLSLpi9/WARUfYSujfvRm4gCKrNVRfrzlC d+3R5g6VBfSp3reXeccR8uTq5Ko35lFAZ51gPocTpNY7zV3MnEeN/X9fjPM4 gfH1Vzx67vOIf1TYTl7ICcbX088MyM6jqtkzWc0STjDPdcnU+MscYlvL/4/n gBOwnYuuYr47h5wZWztcZJzgX+93Rffzc2idX2I3TdkJzsRfN604OIdAuSMF Y+oEGqoHdFPyZlGO1rq0t5UTGL50x/SenUXj+ofan9g7gcPSozCC4yxKdIhh 0/d0gvdaoT+EcLNowP1xSbq3E2QdfPnBbnMGyfj2GQyQneBhL9upF60z6PM5 +UtnQp0gZeazUzdhBknEuEm+CneCjNtkpRClGRSYmPiOKcYJpEy0BNlZZ5DA 9R8715OdoL/tYMP3pzTkc4fzzq90JwgzskrfSKKhlw9Uj8tddQLvvfzvBwk0 5PIqI6qp0Ak8JL7+voWjoceNtWK77zuBngiJxW+NijbaJ2udHzqBSAZ7Uf0g Fd0ePL5GeeEER/OGzk7epqLZMf8baq+c4E/eO627l6hI9981tfg6JwiI7y2v O0lFE+u0c6LtTvB5p/TAogYVqTKLCRO/OIHizJEXG1JUlMRlXFXeTd/fZE1E vFQ0IBhqv9LvBDMXCuuqNyhIVvzOvO6IE7yqJmS6/qWgCwc+Zaf9oq8z057t HaCgz0dXFPr/OEHInqVwxnYKCtSxDjw97wRlur4B648p6IeEQYf7ihPc29KM GLhNQVYMGnKWm/R+XY7Z5V2l8/yYXJoOozNcq/4v80gKBR1tlpyWY3OG0rJI gWsXKaigWNRMgssZasIbZjvPUxBXIvcjHj5nkM9b1u0JoKBIP0b2HSFn+Bm6 5nzbj4L+mSyTZrDOoETd2yBDoCBX2en3PyWcwXN9gy2EzvftXKMHuqScgb13 7E8Inf/VqT2XGqWdAYshuErbUdCDjg+/nsk5w7N9CS4ZVhQk8qxe966SM7zr ebpZZE5BidmVRdlqznDB0bzQ3ZSClkIe7sRpO8OcwLFbdcYU5ONQ6Bmi6wyR f009Go0oqOdYTh3RyBk++KZeJdBjfdEkcXtzZ2iI4OW5TY9frF64oG/jDFcC FwpC6Oclvwd9V3Z0htWSKb5hEwrKfuOrccDNGfCLB337zSiIodDthpAXfX+h 4HeCJQUFxVivsPg4w/cHJ6rDbej872XgtER2hifYh4B1oOutq/Hy9xl6fzSV ZnChoHpJeaG+EGeYWMQ0UNwpSI5FKrQ1zBm6CNqjOCJd79+i3dVRzrBX6sG3 drqe3G3cig/inEHwMMFo8Qx9/g8Zs64nOsO2ieHszbMU5HZq2jI8i379c3Ef bC9R0AeL0XJynjNscbeweV6h6yvfy+V60xnWaDKXRujzFp2r/6BR7AzKGl9G 5UvpenZXSss+otcTtuq39ZSClisfJuEq6PvJY8bqtXT9zucYbtQ4g9ttsxxK JwUZuCQVT791BpsKLX7vIQqq1IhiHn7nDOv3lubQHwrK2fR99/aTM3A5qNse ZqAi63gNnZifzlC2eZIjVZWK6r3lCwImnME7q0Sbz5CK5A2lNjz/OoPZzgHi gj0VcbPvfo0WnEHEu7jvcwgVfUwfVWHc5QLmam7zlVVUZJCfdDRB3gUkXqf8 qzahIdlQL9Ufyi7gd9X9Bd6Thvgs1UBdwwXYFNwSTp2loWGGP/YUfRcoeSaZ fe8uDZ0lG11wcHWBfQH/UjMYZlCxGuvHAwkusKj05JV+1wxK5R/5FpPiAi3M l2WnpmdQ0HTVyECGC3y4TghYZp5F2nd85tLyXcD9dItK2r5Z1MPWglmqoO8X DsExuc8ilr54v/eDLqC/fCnffXgW/XvqFrz3pwtc9jnIb0edRV0pShciJlxA J2i3fPT2LCrQ+ZUhN+MCrcTM8vP755BKiW51HosrFD6h/NnlP4d8zjKwkv6j x4pHBY3Z5pGZ1QBPo4orlDGcVP+Hm0cK0s8wOE1XaCxbudj53zzaHPI62mHg CgZakTQft3mUq99gr+rmClwZnDFDL+ZRi0DMPbbLruCyKvJvb8gC0uqKqjVO dYU10ytUtisL6EX6he7kTFfoWqX66hcvoDvsEUxcN10hOjX6TnM//fmzHUrk feoKAsu5f4X1F9Hcm5BImypX8K4Suz7suYjIEcE52a9dQTPyGpH9wiJyWgxo EmxxhcCHovU3qhaR4r+TkphBV+CbeW80enQJPXxA1nT94Qp/4qMkhCyWkISv n93NcVeYKSxJeXdqCXGP+sSL01yhzX7pZ275Eprq9fq1j9kN/k5/Ujivsoxu v3O8JyPnBt9ndl/Sxa8g4YsOtf5KbrCFm696lLyC0rTtu8vU3KDEf+/Ftucr KKLGhklezw2iS37KqLGtIocn5kQlZzfwxUoNnH21ij75m0WGurvBi05YFfmz ivSkTXOqCG5w6Fhx4g2RNfTffaMm1dNukPjHf9smfA1x5utKasW5gUoq/6iO 8TqKcwLNqEQ3yFr7MxobvY5WBZFd3RU3iAw5IPOtah39ztCOR9fcwGThQXzd oQ3UmKD2S7/MDU466P41wWyisCC5exa9btC5fIrKorqNuHctRSh/dwN1gfTR k5HbqKjwrS3upxt8PqjFPNawjT5+NGecmnIDsavSPvOWO0j8oD/+0qYbYJtX xKc0GaBpsFSiVuoEHCzzZhM7xwjc+vtuHQ45ATfl3ZR82FngrrBgLhOvOwzF mBP7FTggbKD6uJS3B5jtXxRb/MEPRSAbhyV7wK1nW9nX5vjh48PCZt4zHsAR GSajwCIA4hEJJpvnPcCKkn7FREYAGrF2dr2pHuC76tfIHSoAnCeovkkvPIA2 bpnezyIIt0ek0qcZPeHslHadwH4haDO83jnG5gnzeZiGGCUhmH3CKTDA5Qn8 sebso/pCoB8zd61F2BNU0s4cjicJwZREQ1GhjCesxQ5d0CsTAkW8W5W1rSfM zvdeu6skDC2/soYqizyhMtB/5Ji6CMTIHzmaXeIJBSOj253GIqAe+T4q4LEn XOKYGnZ3FoFy/vU9MlWekDjy1MrqvAjkgjf+dpsnkAP+BKZVioDP7WO/k2me UJspjXM6Igosbt9pHtpecEUyaXiGzjP1JWeRlq4XmP3jc7wqjoHwOZ4sjJEX 5Gm+fyoliwFKsr7iN2svCAz9ROMwxEBPTXmoibcXfJje0p+IwECx8MVVpVQv wHUGaF/+iQFPAtaUL9MLdm9GiHdNYwDzpDKfetULCoZqZZlWMZBmMKX5sNAL NBWyZrF8WDgbahu957kXcKzxv+JAWDD4KsXEPuAFv7UOlvhcx8I54btbViNe kFjzhdJwDwulrhJreb+8YPxbUtvcEyzs+oWZlaJ6QW3GnbM9zVjwXWOb2cuI hwPMWQLBVCzE3Hp/upkZD26mZbfcV7BwTSfhH4kND/771kMEGXHQGsc4+YQL D5zXWX8PCeJAmnNzWEsEDw7PqNg7qjiA8lq3nxg8VFRIYJ4cx4GLVcRAvBge Pla3Dp41wkFKzvK3D/vwsI+Hce2gIw7uqby0PSOFh/7aTC4OdxzU9oV28h3C w+TkF6N8Ig7+4eY+Oh/Bg/4hAZ4XAThgqntqsiGHB+PHbCeVzuJAzCug9bYC HnSi9cOt6fyuwihnoKeMh+cnzV1ZYuj8fH/63e9jeAim+nw1j8eBj+FjlKJO 728ryHhfIg6i/pDrjmrR6/85WHohBQe5KYe1unTwEPro0EXnNBw8OTL5KhTw MLZ9+nV5Br3/L8Wqovp4EGfcOxqahYMfgd5VtYZ4CD8fXl+cjYNlfkklTxM8 MM4PZKj+/+8zqkafMprj4XqU4te99PiQ0x25Eks8DOi/U3Wi70erHmUmNniw jHN50ZFJ1+umuAzFDg+qRfsOR6fjIEh7qDTTEQ9a6q4lDqk4SP6Rf0DZBQ88 hfzbRvT6i2Jd7vW54WF/0rl5gzgcvJIU3RfpgYebKGBR5wIOvrb0Fu7B48G1 oZBxH12vf6RcsXdEPCjwnnrff4quJ4d9vo8vHmz9gdOGrjeujF+UnYyH40PX ZUKccaBk2ZVb5o8HezEep4PmODCbyRCwPoMHln3R81Y6OPDOtsyaD8RDdain YrccXU9lbp5rIXhQG9D6lSlO17P34xWNc3gQtBmqJnHgoDwshWMkDA+iCTkh SotYaMGaJMVG0ud9y+3u52EsDL9hYz0QjYcJ0BziovtzyeN9fNtFPDBz2Mw3 l2KBhyGB4VQ8Hr767597n4SFQ/f0Yngu4yH70A521BcLxw0YN58n4eFznsfQ CGDBabIhwjEVDxstr/mTMVgISI5ZWU3DQ+O2nGwJBQNJsjrnCjLxELiXELb2 FgOvAmqDxnPpfk33OmhriwGvaI8O1+v0fPJ6b9iwGGBLYzjalY+HXX8F/G4N i0LFzfspRgV0f14Yqhu5JQqOj4z+vL2NhyZ5jhu3nURhs+avgfJdPDA9pJi8 4BaF4ta0e4/u4+G2Wa70fJ0IzI93e1x7iAfNBcGkWH4RyJ8/94a7DA+XbU5v PakUBmDEYi89ofsv6ti5zzbCkCnh1RP4gu6Hv/cZSVFCcNR12sz0LR7KP9jV pJYKwDe/jIcN9XjAvi8MF5IXgMjzimyq7/Dwg2kXtbCGHz5cDXsn2YqHnmYG 1b/f+CDoHm5vfjse/gm9WOPx4wPM87oo3k94WCjLyWfY4AVSB7P6ZiceChnv ev3044HdI6V5Id10P/z3XCf2wW6omjZdmOrBw2bqj6esVG76nLIqegfxcMe5 QZMnhQuK9MUPPh3Hw1TpKt9FBg4wtmuIPziJhz/2ZTOl/uxAwxNHb03hIcug Pz5gcBfoxDy8lUzFg+yMcphVCxtMpJmvbc/gQbpnWEsS2CDtFs3p3Dyezm+f g7kbWeH7KxUB4goeBPbx1ZZ8YoG4tv7AgTU8RFyv/C3qzALSfZFfrDbx0PUk 7MGhSWYIW2hM1mIkgHdA6vgjHmYQkrfcEeIiQJ5xBLtvIiO80Z51v7KbANpx O7HfjjAC0fxqLSMfAfL1knUEexjgOXnwHE2IAFpyGvMVRxnAJSzqm48oAUIn E3Lfvd5BDIl7FYewBLhs16C9d+8OsrrvS2mTIED39a0BudUttPyc3ez4fgIs tRsE5J7aQoWNZQ+qpAiwJ+qcCn58E1FG5oh3pQkQ88Z0/PbPDZSCiRmMVCJA 2LceG7Vd6+j0/RzuQ8cIUM9wXtsgew1ZyT9AX9UIcMawnN9p7xoSMugqOaxD gONrqrxMxqtouWNioBsR4OGMyLcToyto0HWNK0aPAD5tkcUa0SvodqBkSI8x AULEi3W43y2j2HXVkotmBPp9kPC73W8ZeV82H5C1JAD5nKN5Pv8ykr519nic HQFcvXowvAFL6EVrK6e8BwFARcGo0ngR5doO6Qx6EeBtbHD+KZZFFDY8E5RA JMDuD/sTYpsXkPY8pv+7HwGSR7fuh5gsoL3RcpyJ/gTgytdulOVZQEzsejqK ZwjQP8quvtQ7j9r2nLqfFEKApq+tTdGn5tHjhxf7lM4R4GPQiwwxjXmUppzL 8SOMAGnm74WvsM8jO9O6QJVoAhwbMi4pLp9Dw2d5tceSCLDF14/02OdQ/Y5U YFoqAUSefC3+92sW3U1Vv6eWToAPNq9vbNTPIlIRgT0jhwA1OkVNshdmkemR 81oaeXS9M2LKlE/MoqPVqQET1wlAO5V0PVJ7Fs19quzRLCSARLHL81tMdD5w at81eYcAbz5UVbd2zKDqsWHN7HsEYFER3Uy6OYOiVljv/nlAAEGHA5/c1WeQ ZzyuJ+cxAVS+au6x4ZxBurv/23X8CQHSU8/0qfygITYplzO5LwigOvSJ/cYV Gpp6croIvSTA14O5+HUfGvqkHvftXw0BpLnLMSJAQ1lWjzV06wgQLhKlZrRB RaGD9acpDQSYu/bdR2+Iipx8vt253kQA/fLSida3VCQWuclKayPA5K64Te0E Ktpm4dfI/0iAEgkBGaw/FY1mHjxt8IUAF5ytbextqagZp3lnppMA+1/JFY1p UFFpiVX3zW4CpMpb3aqVoqJkBW9Wo14CiC3EW/fyUNGpN2Hqc/10P7wvG5Te oCCFr0W3jUcIoGBb+cWln4KGvrS7TP4kwEw3u3NAG51PP84KXP5Fz/800j3n FQUptmG+SP0mwHZQJEv9Ywoaboakpj90P36qvPSvkIKSGsm6hH8EyORJk+PP oSCluqyNHQpdL2aTjiNJFDTy+tXL2zMESMm6Ya0STUHJ1aOBOvMEsGZ1e3CA ztPKleyyw4t0/4jjFFZOUdCPpwoTkSsECPSsP1fqQ0Ep5S63sev0+yuUhV3O k4JUHsW6vNokwJCLTMNlOt//LHko4LxDALUHM9Vl9hSUeq/r8xIjEXY69vPc tKagY3dWE3NZiBA+Is1nYUFBo7f26SrvIgJr5KhTnSkFXblhsvGVgwjs/LsS /hpTkGpe0MsgbiIwN34x+mxEQWPZNwJ5eYlg1jX4+P+/Z6RlNMpU8BNBl7Vt qIQeq12ZGrcQIoK1pCJrHv38ryS+29MiRBjriHM9Qs+fnqDukoolQsBD2glf cwpSj8MLyIgTQURAqQVZUdB4dPLnNgkinFv9ZVZjS0EZkc8SSfvp+QIWHrY7 UpBG2ACwHiDC5NKd+iA3CpoIZdi4f4gI8Sekqsu9KCgzSPqlngwRgo6Pvovw pSDNMzaBY0eIsK6jIdRL1zOLVDQuoUgExprwL0ciKUjLu72wTpkIfFdrnCTj KWjSa9bZXZUIEav7DxamUpC2K3zO1yLCF+FWbRH6fP84khPVjxNhl/9+S74H FJRjlwX9QASL5Ousic8paMp8tErIiAixZUdCh+n+uWrCHlhpQoQfLyDm9TcK Om6oIGNnToQU6UM9nKMUlHs8tjDThggT8y2lzOsUBIr7EjlPECHrfnStlDIV TcuZwCMPIuTd5d0VrkdF12SD1o3xRLju8kb2mB0VUaQaAy77EkGyP/Hc7xAq uiGCd2YIIgLufgAT42sqmt24I72cQIRNY8+hU840JOtb3uSXRIRmNetDZ07R kE/HK/fBFCKkC41JNFykoYGir1lvM4gwx9Ui6PCIhhoNmdfibxDhlwGy12aY QZmZpA+85fRYTdZz/u0Mal8N8Y6rIMKszoDOTO8MYiJe3Jp/RoTVYAUl7ZkZ dF7lhmLfSyLc+a+i1Jt/FnkOfsgvaKDrs5qh0ms0i+Sl5PxlvhHhkLlefNzr WURO02C51UuEkyeEtK+3z6J7S4a3uQeIQOwwah7on0Ui7Z7dM8NEuBcR1T66 PIu2T2dpVk8S4Y1Sbzaf2hz6Ur3Aqb9OBGFCVo9H4xxi28dQUrVJhKRP1tPk 7jkEKdzo0A4RtPKsTB5OzKGqEwdDOVi8IeAb/51WjnlUwOA81LnbG2rXahKu O82j02a1Ze77veGB9RFJy415NPafuhjzAW9Qc0s7NCiwgJyEq1MfHfKGjstU bJXsAtIdfX5y+Yg3NK5LNLifWEAi5x8dzlL1BoSYmh40LqArJw5fV9XwBp0J 88qB7wuIQbeEbUTLG7gXrjiSlhbQNNfd3zK63vBS6GjTnSOLqPHujfvN5t6w jzvbv7VgER1LEhH0t/KGS+ZEd0ztInp8Ojeez9YbDhmKfRnoX0R5alkEDydv YFSP7XwqtIT8vyTtXcF7w5sCeSOW3CUktHb+lux5bzjbcz6CvXwZpfxY5Pwa 7g24geP1FV+X0XZzSGTYBW/wJHX2ra4so78ZAa4tsd4gKMH+OsVoBdUfIIl6 XvGGPd3zExKUFaTMOZHIkkHvj5+m7i26ih7OEJYfZ3nDGVefkGD9VXS11qN3 Jc8b7v/a2c14exWRbRyvZhd5g+l4HtsVjzU0cuwbk/p9bzA6MejwJnMN2YnZ hvwo8QZh1+6K8aY1pDNpYXukzBtM/Jjcjh1dRwJRBrzvX3pD+ndQv8K1geoe KF9Z/UjXp0Q+fS/TFmpay/se/MUbxrKfJC3pbqFW81WZ6U5vCMlJCvwbv4U6 Zt62j/R4Q89Ta8aj7Nvoh5oRW/MPb+j9XaE7RX8/Ymh3iUuf9wbDEW0ZowYG MJiKDpPE+YAO01/BbRtm+Cjd7m1x0geOlIc1dyWzw5yYBmM8iy8UKDobvN7P D6sn9j2R2uULo2m3eweO8QNDwS7X9xy+QLSVptFM+YFPvO8ZO68vTN5Jvbgd zA8K4qH4TKwvJMdGPH70jh+CxJ80FMj7wmDH4pCUlwDMiO+PqXHxhRKOzDbt HEFYdmeXdT3hCzKJOg/5SgRhu2Cmd93DF06eoQoP1ggCz556uePevmAbqGdq PCII8ntOjLSc8YUTm1P91w4LQcCePO3ueF8QerCnZua1EFD3cGxQyn3hjJbc ruEeYUj42JNIeOoLdZtNgdQJYcCFFQn0PfeFW/FBfPOLwmDSpSbbUO0L8r+1 L/cIiUBxPMk1u9EXEvlKV9ftReDEn+aaYz2+cH4orvZ5pwh8eBZzNmbDF4K2 zqu/fiMKeA8zhoUter8Jnt3TH0RhmUMkzY+BBDmHUsK4B0ThgPeT+zasJKDK I6rIoijECg93S/KSwHJr0sv0CAbUIjUU2yRJ0GphgibyMNBxiLVO6yAJJIKv ePfdw4DPty6TZ4dJECqaVPv8KQZyjpLx+UdJsOykQJL8gAHaj2uZp1RJsN7A 2vpzHQMl+otUXjMSBDeWxLm7YiH8tKL1awsSPHscu3STzm9meQHPiNYkOMxa U1AVjAXa5FTISwcSaN96VnsuBQuqqSMrbl4k8KwvOCJQgwX2SpwrC5EE16XX fXc3YeH7kHPtEx8S3EqWnPn+GQsX5bqjGPxJUNGU4PFnDAvtXa2MpWfp+ez4 Z/PpPHpzjdnbOowEbb22gZsCODgtqduyGkGCNAuJT1J0fuU/+ybR/CIJYt8s Wb6i8+1EweqfxTgShFiH1e9TxUH1+2OmtxNIcJ/iedPgOA7cRJ9xzaWQQOTT T49KSxwcBerpm2kk2Oy4p7nqgINtsmyHfiYJGndpkikncNCV7fcfNZsEgytM 1ml0/r5fW5x1LZcEJeIe8j1kHJwfH5tD10lQVfrpb0MADky499r/zSfBvPVd FXM6z+OOuVflFJBAetd3x+AIHFA88oW175Bgq+bcCbkYHNQn9p3/fZc+z4dR 3yLicZD1VHAgo5gEV6y12G0TcUAcsNFQf0CCvv1V5eUpODjGmHFz7BEJ/sSw SCWm4YBd9tNGajkJ/A+74PoycPDdjt1D5SkJ7gkPjOZm0Xn+gmH9yHMShEex zr3OxkFMcfzepCoSlJdUW2jn4MDmS0OsQg0JHvf84Bagx5LLm2ODr0nQnS53 S4G+f1FCU//SWxJcGso6nZaJg1bjsOKjDSSQe0xgxabj4EZQFWvfOxLsDfCf aafX558/R7rYQoLx7B+B6ZdxoN0k3y7dRoIjildfO8XigHf6lEz3BxIUkgmJ gpE4+CX4KPXCZxKMTjw//DwEB1Xak9MHOkkQGP8pSMwfB4m+UpYdX0lw4eiK rTYeBy4Z+IqwHro+KejgJn1esjWFvPv7SfDvsbWorgkONn9+D/o4SIKItSrb GQ0cdLBjukOHSfCOB9c7JYODIkVH5T0/SVAwOMC4G4ODELec3NYxEsQ/m+TQ YMGBwaXOpcAJEkDN/cPGNCyIlHM7Y/+QICltnYe3Dwt/e0xfNf0lwT7WyQzf N1h4u5WIPU0hAc90eor4bSxkHGqJFJ4hwbe23zNMMVjAWzMO18+RYExwpXfC DQtK4cd1yIsk+M1ieemKChau7sbHTCyTgGXrXP/t3VhYvBfXgF8jQfa3R8ox 4xhwVL/PMLJBgt4bx91XXmKg+kuLrus23V9tAv19CRgQ9Z6M72Xwg7w9su5T 1hgIX93VYsvsB38b631WRDCgJWVuZMbuB5oC6TzohigUvDqd1MrpB2eUJW4K 2YnCtmVGu95uP3hbmz8ktUsUGsO/mmkJ+MF5vpVYV6II7OdZuFIj5Ac3f2rl mLKLQPx9oS/KovTrfeUjcj8SBoMOZ+uj4n6Q5dtfCENCUOIdkfVQwg8exnBa 8J4RAra1m18P7PeDpSfJU7HrgtAu9cN+zyE/YP/yZsSdSxAsI3xceBT8oO1W 8xEWOX6o4EnMT1XyAw5zfGn4Wz7gK37wne2YH0xlsHU5WPNBd8c/9x0NP3hQ dMN2ZYsHnA4EE2b1/eA2pthsnY0bal7n3Dtt5Acs0VeoT525AGNdNT5l4gcG Ov0CfU844XvEiu+YpR/gfipufD7JAVq82AceNn7wacxQyLKTHQqKNacG7fxA gjzkWqDBDl6d0f7dzn4QXJekLSi+Cxp97pRZuflBPG8aZf4qG0iuN1I+uvtB 04u+P/x8bDBxgCWwmeAHUmY0rRQhViBHpoZWnfKDaPn5sQUzZqC/LFYpBPjB 1VJTBY8xJpAt+bJUHuQHJjJtcsIXmIDayRdecs4PPm6FJHK8YgQrX6XX+8P9 gD8tmUXoBCM8W7dfL4z0A0kpjlMcjIwQcvB61LWLfsBUH3Ha1ZEBvtW+qhOI 94NBlUy2ZGYGULH5vp2R4AedrPjNHPIOWo7cE5eU4gf/jXzPJ2tuowtd9y+H X/WDiby/oXLCm6i4f8ByKs8PtN9KOmzc2EAdP3aLuNzwg/dKw/n3920gSWpY qVqhH5Q1HTHYrbWOLBbLAx7c8YMUe+GWvC9r6NzGmKroPT/wtj1BS/ReQ+0c Fm3LpX5Qv3xpUjN/Fc3zxWWSHvkBbUEn8ZP6KhLDVDv3lflBJfmdH35oBQUc 2jf18pkfxMQHD2rKrCAh/UX2c7V0/UT39jr8XkLHzWS+Trz1A48PponFN5eQ n61nvkODH5wa8v5ga7eEar3aZVRa/CCZJcY0un0RTZC25u630u+HrECxwcRF tDtAqVbwgx+sVD6+Zmm8iPBRBWYLX/yg9a8cUbdjAaVe+irg3eUHHzRiPe/l LqDKVLah7m4/WP/ZZ/jTfQGx5QedetHvBxcF/jN/OT+Pyl8apAWP+cHeklMk H6V51Pc2wmFsnN7v2vqiMts82mmuELed9APLW3d6I4fmkF035onCtB88Ksqw 10+dQ1GDlueKqH4w2XpZ8Zn3HCoZjdfhm/WD3WY6I/7H59AqjfJlZtEPrmx+ Sr+/Moskl/df81rxA7J5gQVv3ywy33Ly7FzzgxN5hQbFL2fRba53tIptPxBb lA2RDp9FBtJ5vAHsZChNab5SxzGLAv772D/CSYaNqQ+KsmMz6Lrqzh3L3WQ4 jPtS9OLZDPpncFJBToAMZMXM+2KOM0jI4vZqgRAZIhUOaY7LzCAd+2+N3KJk sOU6p25H558sgo4tRYwMXjUNsavPaaiWHIJ1lyDD+7O4DWw6DY0HPhj7tI8M 6jnpL6pP0pBqDH9I2UEyiEkdP6R5mIbwl400xaTJ0MBx33s3Ow2lpl1guiJL hhMZf5SO/aOikZu/c/z/I4ONh6yr1wsq0pNIU+BVIkNH3LerMteoqPSuUkel Chne+riWnbhARUEPL3JsaZCB47exU6cpFfUeOfTgrjYZ7pCO/t1SoiLNp58N jBAZZBt8ZAP2UBFLNTY204AMu25/bZ1doqCTGo17VIzJ8Fg15PH8OAV1vCW9 GTAlg0WX65AQnVeVYbdrtAUZqnyIQ9bNFHSjuXJ5vzUZVPrmTAuqKGjLyC23 1ZYM+3aOT8+XUhDxI4PSKQf6etunDYubFNRq+aCT15kMxLK4rvsZFHTkq+WZ KlcyXLKmjc9eovO4wyKnqzsZxgL1xOXpPL7Yf/Phlidd746WEMdgCnI9oWt0 j0CGkcRfbISTFFT/48+4kQ8ZJK6POZsTKUiKmBE3TSIDn9DMAo87BSX/Vtmb dZIM2ov3M0udKIhKHnqrcpoMOL5bKrvtKMiOEuc2GEDvV4N3VceKgmoCpVej g8lwO7dcWMWcgsQXOvIkz5Lhypa60LQJBcWdP6fcdp4+n5qr8Z7GFDS5Jvb1 VAQZdlvzcKYaUZB5dFMAXxQZgkr3vThJj58xnOR+GUOG6H/ZOWv0WCiB97Fr HBnkTWSaj9HzReyqNt6+RAa12I9ncGYU9CPV/fe9RDL4WBiLF1tQkB4P8yXj FDIwJ9eHdVpT0IPsR/soV8jQlmojk////8cRtqnPyiDDzGjF8JYzBQXfWD5x LJsM8w+SItbp/feJFa4NXiVDauqAVBpdH607+tdjrpHheSYwPSNTUJHkPxWp fDIwDntreQdSEGtpVnfbLbof1H/z3D9PQf4yakGnb9P1WKxlORNDQSoKCWUv 75Nhsm70cV4mBeVXypq6lZKB9O1n6swNCtpW/Tq5/ZAMemPdhz7eo6A2HQlJ kwoyGLmd9V+roaCj71oaKM/IsDLKu2NK90+WwSmP7EoyhHq6mgh2UpCb+asb 31+RIezKxh6OKQqiudjxnmkmwzSjT7j9XiqyH14t528lw0+c4lsteSp65XXH rLqdDNb7xg2zdKgonkS5vPOFDOcvy+lHeFCR8NnEzewBMjzYeV155B4Vsfvw R3IMkcH83pr6nkoq2rQvWIkdIcOxnrBO3xYqmlB+MR/4iwxvzjwOWftDRVUL I1OWFDKstzcIiinTkF3osV4OhpPA2ePK+WeAhoy8G+3imE7CdFLydd4ZGtK0 N+9aZTkJaVJR2BTWGbRfmfDpfxWYeTyU3xfHowjJlm2mkOwKLUoh9xAttlAJ iZBlxjzPkL187UkUWStKWonIEtokJdnayJIQkiUzDI198Ht+f75f977Ouedz znPv6/MM81OgVUCyDd81gVhTV2o+bKDAzB6uV2tSJ1DSucHCSBUKXFx2Vn65 nYWiXOlb59UoYPwv4raDAQsF2izk+WyjwLfNWiOK5izktFPkgfMOChy0rm7T 8WIhzSm9zP16FJivCjztdI+Fmn1TY+ctKbDk6xw7KzuJ3rrIrvG1psA9YMTZ a02iZ9aPI0eOUeCVmY/AGJpEWTuqQzvsKGCi/qQy22USUSf/nit3pUC77J8g u9xJxO9r5OwbSIG1T0lVufpTaG+PQalMCAXqXz/YyraeQl5H9HgaL1Dgo1ld 7EXPKVQnr12wJZICwQLGKRdSp1BUi9JsawIFuFgCdZ3jU4iziz9pz10KOMc+ omY++4e25vAMDNyngLxPndFP4v1xEOTenfSIAk+LF7xCRv+h54MLXcMFFDgq W7m2XY6NAtIZyjcrKISv2DtjnsxG4zNf3iw2USBWjcKxuzyNZNyaRfM+U+B3 wsFrCfnTyPxL/dnj3yiQU9plYNI8jfJzawQK2ynw46R3/CnRGeRpV2br1E+B ++Addv7eDMqoffpYYJAC/mn+vmb1M6hu+xNOxRBRT/zycs34DFLkf3hPmEGB Zs3Q2JL9s6jvRcb42xlCn8uVx2UGZ5GwcqohNk8h3puVbbeF55BBSlIaiUOB sK/Y+VG9OXSLGqd7josKMo4BnksZc8h+4/lYBUEqnC0WgGcn51FL6GnZWHkq ZHxMEHvLt4gaHbA5JUUqcLXTsquMFlHN3v9aPihTwWJdolHvf4uomH0rlmcb FbrtHplnzy6iRFr3eMweKpxgebpmzXOQmeOp6mgzKkzQ9zTa71tBRrreNxUs qSAkydlQF7uCdKUv+L23okL8vydbrdtWkPr3TJXVtlSwupRzpUF3FfCZdyVF naHCd3abdVLfKqjVsz8TGUAF7e8j+rm63FC+cPxeaAMVznuIq+t8WAvHbnnK bfXwhrdVGzV1WkVA3O1TUYuXN7zrtXfMGxaBdrVdBue9vaHNOZAswhEBh8pl xwYfb1CmXxR9rygKri3pmZ4XvOE5s+dceYAo+PDVSjy45g0qhd291RJicNV/ s6DMK29QtBs14LbcAB/Nf8wJidDAOlVIUztLAqQjFLwui9Eg6wJV/WaBBHiV YR2rJWhg+Ds9evKVBAiQuSvmSDTou32850K3BJgPq/sNKNBALFdRmL1JEloi Q5nlOjRwdnNzOpklCb0VcgOOzjSgFaifHr0iBVp/KdYdLjR49pQvNChLCiJk nr21PksDN9ODwuzHUiAfc/jOQQoNOprV8ivrpOCsta/jdj8aTMjtW3ZZkYK/ Y+/aV1+iwc8TUVprMWmY2ezRlF9Eg/Q3dBNNHRII172vkS6hwTXBB/HPjEig 6i3/PLaMBl/3SmyVtSSBQ3n3A9fnNNhfSWPdOEuC6iPHwsjvaOCqus+XdI0E nePF/nG1NJi24orMzSTBVKqQ90wdDZortGQ2PCSBYm/DyZYmGoRc5vYNf0GC uHOwI76NBkMfLSC5jwR3pbJV5jpoUEHfWcIaJcHL14syHl00GHvKcVH6RwIG b6WA0S8aZKe+MeHnIYN1lsbg/AgN4i6KVaYoE/4XEro8xwg9YgLX+2uSIebP yNc2Jg3Ob3mtI/v//xFaD6pKpmgQzMnk/mBMhi/fuZ7JTdNgcMDdvsqMDCMh zvlXZ2kw+lVmPMCGDORa8nUKhwbSG3eWyjiTYRcl+GrHMqEvHhiy1p0M5kLt 0SZcGBTb6KU9Ivyye9mu82WrMaCcezw0Syf8vl2yjzwvBua1Yqvn/MlwfWnc I4kPg6l1Fs73Q8hQfM/89JIABgLOd2Rn/iND46H8Y97rMfDcPaHOiCTDb8Za 0x/CGKRFu2hGEn6ek+wOh8QwGOgIoRXHkUFS5/2ecnEMfOfEl/0TyKDVvVlD QQqDm8di6Q1XyXA4MkwhmYRBdNcsKS+JDC7K3aSVjRhwjQl/Ekgmw/mmfSKY LAYvL04s/CU41ec678/NGOBXfKMMU8jwRGKac1gBgwIHpy5egj+8tPlXoUTU a+lau5PY3+tcPKqoioF8/9DV10T8uTVCfSnqGOx9pVSYSeQXzfduX6WBQV/8 vMj7eDKoH21oxrUw0OKEPVW/RPh9tvL77h0YvFp50vUhigynb8a8MNXGoHYN p/kSoUegwcDT53sw+GKJ2K5BZEj6jR4p78NgvJP7ymEfMuTF3b6VpoeBn6La Z1UvMtRoLKZwG2Cgne30ZMqJDF0tdpd9AAOf3OC21ONk+BdUEd5rRMRv9boz d5gMgjLigeYmGOwMWteyTp8Myu98aS8PYRDvlvG1QoMMyPOLq6opBpEeV+X6 ZciQFpet2WSOgVFNwOd+AWJeHmML2FEM/nBU9vycJoF+k36diA0GH2880c7t JcE1xrqUsuNEvq6x0k0fSDC4/udp25MYCN3P7hV+TIJ9Wvlq8/YY2HbkydvE kyDRKmQ6yxEDJT/nTaVeJBjwPVxj4IxB6erozMUDJNiTKnW13wUDXa/mrtmN JEh4NmQXcxaD6YdSuRhLGvrayhVVPDEo1Gl5LF8jDdqzMawGCgafyD/a269K Q5z08dc0GgZZ5XFzlrbS0LNPIU6YTvTz7KK7GVkaYkNr5E74Y/B5aNParlQp 6Lp9bWw2EIM3wllbZg4T90+1c2VmCAYxHRPxhXOSENOnGb0/FAPFm6kpLfck oZNr2bIvDIOmaRETw0OSsE3hEzk6EoMJzzecgT8SEGl8a0gpBoNmu43s0jAJ UL+kG+Z9mZjPO50Z5nfEISyP31ToCgaugxPzRSri0NrQKVGSiIGG0FG79IIN ECoYVDiTSujftGBTly8Gn5PLuiOziXluKol8/lwEtpRF5SnexWDrhNHvnSYi EPTd2v/jfQwOLKdY/sgXhs1SrHXrH2NwCUZU3LiEwH9vdcfTAqJ+2bOR/Drr ocE+8b5NEQat6z1FbPwE4dytbXo3yoh4xZ+X2csCUFe1yKtXQczLny6XEQsB 2PirsaXnOQaLfBmixff4oVaeQlV4g8HxxsSBJUc+kMx9eLOoHoOuipSOAmFe oNb7u1s3YbCcPss5GscD1aMHdrA/EXp4VgzhPDzgtW2gfl8rBuFVAy/iBNfA a4uStO42DNrn+jH9jNUgSo84E96JgaZYEaVbYTW8LJGdq+3B4D/Xl2udTblB qJX53rMPg7hf4jtW/+YCN/brJIHfGLAYxXckw7lAUOeUitUIBiKNm3RINavA 6fV1259TGLg/bdx8oHUZGZmacVtPY0AXFx9fQMtIqXO5sG4WA8yJa8i0ZAkx /rnzlHIwqNN82aR4l4O+RJJKVFaI+8zy4g6qHAeVCn9yvM2Fw6Xcuntv7i6i kK3az+J4cdjxPbxbsnQBOb4Ydl7mw0FjKkK7Fy0gOJS1zn8dDrzqVjl63+YR rxu3m7MIDsMDbq1HludQWuZX0T1kHBZF3zzsCptFwaoxVQWbcDi38EvDT3kW narQocjL4eCwgaT84+sM2tKS/VZQEQf3SiuXSo0ZxHvGhhaljMOVLcF6vH3T aJTJIz2nSsTblVfzJW0aFfNj9N8aOLhY/RyK5ZlGadc3b7TfjkN20ryUVQ0b BSl9r/u8E4cFnds8ZuFsZGCoJ/tSBwe7nUtWqVxs1BTM/+maIQ7Ca6p7KmT+ oSLeqmBeYxx+vNl06NjoFEpJ81EMPYjDvpsVFXkVU8iuuOOCpxkOIdpG06a2 U0jfIEGlxwIH6e/JI2GqU0iu2aDVxgqH4ykftXQ5k2ho+KG6wQkc6ow8FUl5 k6gxwL697CQO5dpyM8oRk6hw9fooNQcchLZUnbpmP4n85fx/iDvjYFZo1mQh Mom4TxrFjXnh4L8hxY12hYWGBqd3uXjjYBp12MMCZ6GGc49/tWM4bNODfENr FrqWKKLz7hwOurrMIWMyC/ltqh3QCcAhaIHNY7KKhWzzgxILg4j69A8qBnye QDJ1vX9uhOLwZS45v40+gVYdT0kWCsfBijXRt/3ABBrsN9kfE4kD33e3bCPp CZS/9CSNHkvMA77ywv7jOEpMOAN/4nDor3kvd/juOPIliTMcEoh8Wrzdb0LH 0d7dFw4cvIbDH5/Qoo17x9FJlFPLSsHh9JLDNlOJcRR45INJVjoO24+c3C/B ZqKy08KHWZk4KFKPFFtXMFGLp3ZD5m1if3xI9pObTMTytTc1ycFBm+3+NzCM iTRj75tnPsThnkvI/e3mTGRxrf6TcR4xLx3sAMHdTETLZFpO5BN6cys5bCf8 X/wDsa83C3EwUfDGUgWY6HGRjrVxMQ77Ldx/bJtloPrnji3jpTjUh3GAPUj4 83eRx26WE+vRRx/0tzKQYkfTifGXODiyf3YKlTPQgX5W+40qHGLJoYMol4Fc xyTsDrzFociStiYkk4EipnV/MN8R5xk+Y12WyEB3VpwdbnzAwWvD2ImRaAZ6 w3/xp1E9Dp9aSHmi5xmoe0O+I7MRh1XmomvUfBloUeZLz/VPONiuT85QpTAQ WZXtZPSVyH+7N0eA8OP7dpL6GC1E/mSx4IZTDGSnb+ByvQ0H+sC6DmdbBgo8 6DZg2InDtzuzN+qtGSjdKs6N0YVDErfcvWULBnrmUDiY0YNDZec79SVTBmo5 2+Ju2EfkR2o3qg8z0CQ+OzQ2gINr3yUrw0MMJBKyySvjDw5Rzdbs/w4ykFa0 4SiM4BCcYxXgS7DlVQ/q2F8cLFUDG6WI/bTrCWPpTByWGfxjNCJewt1iGrBw uH4F59CIfPkFbcy/UzhIPggJFyfOU1++gKdPE3oo5K84WzHQcLUcC83hsJ4T xmd+nIF4G419/y7g0Fk/sbvNjoGUvlOm0pZwSIirCJ47zUDGvYl+aBUdPB4/ 7C51I/oxUsYe5abDe54UjIvKQJFTnQFpPHQA34d6/T4MlMNZmjHgowNV9VPa 0WCiH7wKwaMCdHALr2YfiWAgDhk7byBCh9CI5NedyQy0USllcUSMDn8WFwy9 shhIV6syNFWCDi4HLh84/5CBgg5whY+Q6dDF47tf5hUDZVgor0qVoUMExYUn v47Q+6RZ5P7NdNiw+FmhpIWBprzTo1OU6LBXX+iICoOBRANfrtmvSgez8IC6 lHkG2h7x6+KwOh0yYlLKfdcyEZamFqe/nQ6BAm/5YxSZaOR11ZUhXTp0D7QZ t7oxkde889QCwTkL+R02Z4n13dx2wnp0IKfVRLUQPFx0UGEvwdbVBfIt7kw0 lPPlxWWChWQIq+3JRIMx/UPb9OlQrvyqucObifrNeQz99tPh98K3ELYfE525 nPvoEsFWolqiQf5M1PfhiOAtgt8ZJb+d/z8bJHbUEvyFctpzJYDg7VK4pAEd 8sd/fV8XzES94mpZLwh2WjOsoRbKRE7WTas+E5xzpMy4kODeq5jHAMGXAj38 dvzHRD28pTvWITq4L4RI6xLfe/ecbr0jwQ+/bo40j2Aix909Gr4EbwuZsP1G cLdveOpFggsm0o1tI5no59/3TkUEl7xw9TwTxUQOKh617whuPnjx1h+Cu9z4 1DsIFpYIHqVGE+s5+UljBOsb7rNkEdzVbT69QrDMSF1jQAwT/Q/wcA6d "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"eP[t], R[t], X[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417828255612352*^9, 3.417828259318187*^9}, 3.417828297144826*^9, {3.41782835333008*^9, 3.417828378218367*^9}, 3.417839534585176*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJy1fQt8ldWV72dOkhOeiYjkhNdHeIWAGiOQgCBHohBFLCWOZYp1TmmmzfQi xke91IveM1WmWIllfpafdCT1WBCDFoaxhdI64tEiYbwdYTpWyPOcAJIgCJGi PSGv767X3t9OvpOqc+fqL3qys/ba/73Wf6299v4e585V3/u7b69Z9b3vlq+a UPrQqgf+7rvlD09YXPkQNPmusKyUYZZ1xTVZFnzusPwtlu3QP5mOY1mf+3Gb 46Rs/qXlq1q+Y+Tuu62Ude2Wb/fd+GfrNvhJPZCwrAOJ3XfDH1Lov/rPi+HH x3+2BlJxK/ykbf5lybSV58qe5r/107IIB1ESA6kZiUjvwvEYu7UU9ca6HCfx ZtYTgVNWSvu9li83lf52u5KT9rTc1MCp9nvb781Npb/58W8D9CU01ZfaxmLv /p3RHhn8R7e72VvBhNEJ4LHX28bu+3XGKgt8ZIDXALk9pe9fSxXEAXqT2ddf v2PWwL3xrwP0Tm7Jfc+tPJexsOrB/4olB+hLMBNvZiwcqC/+bYC+yUHWzlny 3ZXnqi8lYynO1HEGYmkG/9lV4KHoka+vz6p+v3zogBQdpCQGQOGBDD+/+X9t K4P/DH35Wsvakb/vjveGfbin+8HuZ7uzOs91/6r7UmrP3Za/59c9x3uO987p fbQn0fOIldLbleI8jlP29z7fs7/nue7l9HO35et91ErrbeztcuY7Y535lpI5 3vNrkRlJMj6WAc6MtXxOnODcQrLdPb/uDaAugPCfKAuDWam9AVD3uBNfRDKv AwpXXwroS0VcvV2EC71oLUGN1muWdZWa9VDLincd7ti/L/Lahj1r3ws9veK2 YK19MPNEKuSyqyzIaNk/zytffOhraffn/8Pvf3bn3h+//0nja43D6/+uYXBD VcMdllVfYfnryi1fw+DGP8RGW6mxZjRlrBn+P9z4PMz4nAE//oaquvJtH+aV 2KtgJMvy4Xj2EwW3lqYXTFpc+8wvqjP+deP7F2GsZY3DG85bVt2h+nfrK+rT 69ZbqTBeat1LdYcaH4iNTvkCAw6GnzQc8CflX0uDwdJwsMyWzLeDaV+rgYn9 onrar57GiVkWDtYwAwZ7SgZLo8HWNy5rbrCsrAEGGIoDNBaAqHXdKXshDTDU 3lbwt6XpMMDtX0l9JuON+0E5zSalfieguaP+IxhDjeCra7Ws5t/2mUH/2aRb VsP5uvJX/2HBkwUp5B//W9nb7Ccyf75gO3rHst748R+zGv/QsLr+32AS4J36 nfUVdYd4CuCpp2ASxUO9IxDRcvoHwiD4GZzoJXr82bKWfVR5fsXZ4lb7FE7O n30y71DeO5X3R2ZFc9B9oCk1dk9zfdNnOMGKFBgyrf6jWDWNM7Dh/Pi56Ya6 J7/jt1JA76Di1mUfWdbaC8s+CrdXfLzso+JWK53G+13xy6GNayst6/DoWA+N lw7jjWr6oGlEwx11L+GAvvqnYvf8hcEG0WAz68r/Jp0GG2xZwbZw+7KP1l4I txe35n0YbNOzs6zSV4prwsujAT3aN5qLmouabgB28GjgsIa/QLoh8JPZtK+u /JFSjKOC08s+WnGWR6v4mC1poRczLCv7ZEHtsqcr798ycz8M5yPGjm6uh9Fm 1u9EZtSV17U2fz+J68xR68rXT+F5BdtKz1R8XHkejYj/zTxhn5IJ+1v8LZkn 9HDFR8fw5KqbO5tXND4AFBucwnxs7lQm+yJswRyc3tZ9uKPm000XKz4uOI12 TC2uCVVtKjvSlYbx0fx9YGM5kOKANdFQm04/o9+dWPSEv6XyfHvPEExnrGrD JxUfl54Bb6ChUjNPLHt1U1k0h7U1gNvL60tjj1kT+uWW9Nhjf0hbPMnfUnom 3mVoQ2DBNqWt4BBiE22xGxuXgZF3AH/G90scQLP6tCLIUivOtnWTtsMd0QRq Q9Pmfaiwle7csHx/gLXd07ALtJ2GfDi2X5ZIjx2of+obJ/0twbbDHRrbns9Q W+kZpc0+uGIjcC9HaVtdt77uEKSH0X/JBWPQBYneo5drPl17IdiWeQJzqq9i DXCqmSjsa/peXXnDLo/1U//Pj7K/6W/Z8qeRSkPkUuhc9snME0gaX947FWs2 PMiZHaOnocpj8dTf3180wd+y6eLVuKAf76z5NNxeeibzBKV137Kna4oMCOsb BnuMnPqfu677e39LxcekAKdQ8bF9ClyFCFKzfxeq2vAQR0Zq81/XvVS/M3Zg TD/LpjY9vOhFZJCo2PKn0jPEHZpE9skVGysraRKpzZ316fXg1py/ZM1c9M3x ztA5+1TmCQjfl8Nf5Rk0DK4rb9pn5aOm3ctty//W2gtoet/xzk0XS8/IcAc3 lUHioMWp8bW68uYV3OG5zKktmW/VfIodMo53htvRyv4W++CG5bGeFEmG5U0f sPSbz6FRKs+T+nhX5NKKs6w+80T4q8e6WT2mmKaZ3KH2t5nQYcMnukPonOqw tlJ3uAt8uNSC2Y/tP+nJmPPbe7b8Ke9DWPlPHgaZ2DxwWFUeEvFIV6gKsE44 +n3c5uDigIEOtqndUwyC1XWnG1aTYG3nslchzbxY+6kS3PNZsA01bngQBA/U 59W/S4LHx66tzHwr+5v77yLB9PYeZC7ao6aIsELGOA3/n4rCx7rDD2S+COa+ w5qALsZFAnVumcnzqn+qrhX+H3DnBdPKQ0NXns88kXliz6hYMyygL8UOTELx Yz2R2fZBNs99L356EQQnonDNp9kQnmsfAGHwdHPDJFqmemruXrERXbWopenH 1iQU3P9nTKab7oo1N/4jCP7TZAynPUWlO7H57m+e+3eSOtyBtix9hcYG4pDU huWlOzNhlDtfbDxLUkcvF7dCTqiJNaM7m0cFkjhnGjIy3lVwOvNENKfpMxAr smw0zP7AhgfXVgZ3QrzRbIKt9acu/9CawgzG2ewPCEtsYklnZDbIH0bhtMwT oXP/eevlyU6cvO9v70EH1BQ1j6JcYbPjI3eX7gzuVPFon/rXQx1POI/jCOn2 KUgddzV31pU3vkbS0ZwtZeGvLvuRkl5x9vffAel7SRqNsaEsdgAqquHJJpnP 6wj6K/YGqHwgwOYHpbPWVq7YWPCyZBV/wenK8/v/7Dhd7R1WT8KayvyxT9nv HOupe4m0c8fKyhVVKzYWv5x5EjumFJy20jZ84jjdz0K/57hforfgtH3wWHd9 ekMVZoX0aE5kVviroarimuyTPq4IQudqPm3v6ZnVYXX/UvUqbs08caSrfmfD YOpV21kzu0+vvA9D57b86XhnzyPQ61kiYxqSNprTMLj+KSuZAaajTOV5tFL9 U5ApR6LHjnVvmVWxJvskLg5g8NIzlecrz0cuJXp92LP3+Y6FneeIH2nRBHKX tFPPo2M23VWxpriGemafxJ5b/hRNSE9nbMeqztu559HLQMCdDVX1edwzBvFR eX/2QekZbKv4eNPFaCLexT3v7Xji8mHuGe/yt4SqGofXvUQ902I9W/6q+OXi GvGUdMaB27qxc6rzQsepy9924nnK2aU/wiQZu+cq7B4ft2F55f32QeDPmP7W mYHd894pOATBdHoELh6Rvyp9hYsarN9qPj16OdGbQYPEL/+wY5tzLzIqrfSM fZCGqLauxODfU7TsaYBGEVDcuvZC5NL+P8e7qOb1dU7rWAXbK+qH5P5jFkLj fpvKCmolzOBvBacjl45ebu+Rfuc6JvQ2cj904L9j3m/gftGcUJXql/chmuJw h+6X0WH1zuF+4XZ/y+5/ofVC+lWsUWGN44HM6GQ2SYtcgo7DCWgmUnF/Nq0r p9ZeONwxHIUpTJ5jeqHw/f8DRvkpCfv3B4I7MZMu+2jTxUSvNQzlu98Hyr7P 8kiq55ZhXmL5wzls84qP9/9Zyffc3WF1tbM8EuJ/P0PLJMlHc+yD6KHQuT2f tXWL/OwO63KtK1/8Q5C/geWPdK3YiPqxfgUrjUs640Svv+U7r5CpsDJNCz+A Q1SeB0CZFBUBADTUuga5AMz+DsIhQVybsFbRgo9C+GSwoP1OaQXiIMEtszAN EQQUTO3tAs6/7MSZhB/aBzHlkWRkNmbZ0jNKEqLj1OVUJ0qSBafz3oF0V0CS m8r84Je1F8AME/pPixBASfkSpmos6lMr1mDZ2d6TpZVOdl4gsRVneXgSW1uJ 3ot3sdgLlyd3HHTuJTFc+SAZFpAYGjXY1tadJeExGXjXRWKlZ/wtb7/U8B6J bZkF3miNd10pwbCw91GGtumiv+V36Q13kFTNbLRiNDHRXWu10LspjQ/QZgXr hbUXrCtlwMOo61r8BRn4emrDeZLaUAb545w1gsa7HYJojkVCez7zt7x6qOEO qu623IV0TvQSqq6hQOZHWAqX4a019U+RVE0RTlFJ/TNQ+BJLHe/0t1TV1OeR 1P5A5oni1vaeSUk9cLjD3/L8tvo83MD50BiwYozQo86yrkMhpGzVlPqPSGh/ AJ3PQpfbYNAsFmrv8bc81lr/1BBedWHfdbq9h836KkULSSGR17xcd4ikjnRh mMsEui+B1J1WAX7OPvk3U2FjNoSXA/sd+1R7z+Sk+FHffYB/MGfxvHeyT8qo 3dcTtuvxc+aJb++oTyd9voJa1GbpMS+/zDL2wa9MqTvEMlheAGlJBhfBjoMk k1rw8oIPIe08hqPBVsHfcryThXrndEzonMZCpWcKfJgMSQhJfbiDyhM6ZfNt jtCBLBoD1gt7FaxAJBj+KlQuf3aH7Py9VYifYch3wBQsA9Tf85nIJGDE20kG wqhgEqZ72sBGZuPuhmlIQhnO44Sr4uPsbYhrkPJicStLwZK6CmKNpdZe8LfU Pdn0PdZ1N+Y9KgAY/eqwix429d8CZCR4rBuXW1YHRsVB44Uy6M8xUWfQnqgH Q1cG/ToM+m3nhUIeNPMtDa345bwPoTFLQ1NSGG3/8bvmokHsouyTkNRYqrFj W8cpZyxJ1Xzqb/nttqYPSApTMTjbncDmqGW1BZmLMFUYNTaasG1YTo4ifZje YTV94Qb8ZcufMMabf0pSGJibLmpsT4DZxt6gR32ieQVJYWBGLvXFdoMK39dO Nm0mqf3Zri6oTU51bOttJCksTp7f1jSTpA7nkAvy9AwOxC2r1uYZYGZ5u6T5 +yRZcLq4FRo5ewc6VnUc7G2cqUZ9NaXpM5IK1pB1WerRjic6TvV2zTRG3ce6 DpF1ZSW4nIrYZqrU8pOUxoskhZsEJeXMhxT7RO/zM1UuWPfzxtdIqvJ+fwsE k55Baptt0T+Uq3C53VbS9IFfmQQMp6dweZEzf5Y7bNNdfq4TyHB6CpcB4iw1 7JM/aBpBUkfHEMMzxQmnANyjs1TK+F5K4zI/EzfzBJg3U6LlZkjaX5/NKeNv f9dwnjb8UIws+wja8owM9HAU/n+tSo4bcwUaFj5gkeGk7njHQpzAbDXourcb /+A3LDLcnEARJ4RF32z8Rz4oDAMhj14Wodc7DoILni/i5HjvxIb3WAj5CKwd Liv2Kay8SSjvnUUnG+5gIaQjpI1pBvyyiJuD7stt/AML2qdWnIW2YRr9D517 i8UYbzcWsFDB6dIzSgiCmMAXSzazwGJ+ZhmVb8MkTg4CF18noeKaom81zGCh 0lfsU1oISQYeIqEVZ6eeqN9pmRY1weeHFXgwxRWNy+hcx7fpLuLOMAngCQD+ 8TmUQQ+BKXaxUG0nUYeFngOCwcAkVHoGcA1moSPg0XC7O0MIkddJqOJjeyHg SlfEqTwvQo/CDAE8CUEue7G+tI9BTfBWUIEvqHVxBWsoTw2l/Al7tcttzuNz lSnAXukqRcGCM1QlWSjP5pNQ6JydC3sgEtoykxhBQj2/Bh9O7u0iIai234I1 kISwnokmWAjiDH3YSEKYYv+QykIYjDWfkpCvO7PrTqdvOQ675ThPZNlH172t bAdbIUxCeNiX2nUUlrGnnTdvRKHK89l/r2wnjieh7uUgNM154Ua2HWTkVhZa sTH7pBbi2d5LQpyQWQg3DMCOIeJPiLfeLhKifPwtFsJwA+MOkWXT6rD67LUs e1+EJwKL1SqwYxr7l0gwmHJbHKuhrmvmo9CGT/wtyo7ZJys+hjYS6voxLtpO fJ6y47s+Fsr7kEhAQliU4GxRiEq+134XO5BmhNVgma51+bDz+DyVvZ//eewe kiquIfMO1iRP7Znddy5VIZ4Lbq4AZpoqCYATg2gu92LR1tV+EwrR+jGRhfaw u1noTarZfnyTu7TFqlNVAEF1gVJpYJZrYDrnnLiFlqFactu3YveQ4OHReJgn pkEi3O68OV+p+9tVzQ2pXBFknoCamWedxbw3DrSu0yCfZJDoSvB3hkTdqY6F PXcvcGSVfv7t2IFUVUuBw3lnPBZ2xlb3gwvcxUbGxoQBCTZDVi8wUNfRBW5G b65nXQ/ShDNowvfCDgF4ABO+SQmue7t5RaqyHxRwLEj2I8uY+7kSey6HDAF5 NUXgBtvIqX5x6kLIN48GlanW/Tx2YyoHDS3cJNX9S2DxhJ7jQbU2PgtFRSqn S4oavySSbR2reh4JuguQYBUzkhSUrmDG7ks3q9UANrKmFVno+cvfBisut43Z rA5lcdxI6RC7x2e4NB3+kO6M7Zz2yRWvDa+yj4SDHtPap0LnyFqI983LNZ9c 8ZuPNzYfCYHVyA+ynH9GwsWtFB9ppJbi8a3vbjxwIK5gr1KwgxwiND6E24R/ +cXGatQZpAXjd9840TSCBUt/RAZlwV92LPyPnRvn7Q4louPVHFMtC6p1uz10 rQndp5wNS2oapZS7z0ycNhqkbcuXES6MQnkz37B4ke4A4cAdfv3JadXBChZG oMNNPIvv5TZttnyqVIb0Q/K9cy4uvjlb5EO59gGmH0zm7iua7uLJ4GJERJal ++bsjAU+HiA3eCTEHQp2LHqx8TXukH2SslIqz6Djw78eKTOAAaqj1ljDCPui ll1rX6tcgizyqfUIyhg85Rrek7h8uC41MN+y80PV8arg5kiubdkZoXWOZEQM enCR7giphjr2BjqntfgmUMfNEegYxY5WcHU4EZ0nLnsbXGaaHTsO7n2+8+kz KdNutOyAUx2tClaFS4IpOIOVTnsIBG6UGf8AZuxTZSMUCNg5vff1znOfXHFz DnZOgZSZXu3kh62gZZdF20M0LBQECxuHuz2XfUQ9/b2Nnec6rNtGWXYWoLWw c9rKuIWTDQNxaYX8CipQNyyxDWOOZVc7quJaCG5DzUOwunGcnke6s/CAou47 gReyouAtdHtam41688PHIjwXcjcbYggHMMwiA8om65Mnpx3ICMOmgPuB7Sw7 F1wmNjgEXn+A+7HLeru6hmC/jlVzujNC4F7q1x5aF7eCgfgBsR1YIFcsMASr iuOdMN7/wNWjY+HCMVawOs79EpH14OisyO4w96OSpYr7YaGx57Pe17s+wYO/ joXL51r2Zh7P50TnOrlBXoqXwX8y1O1itMUMPhxFaw3CiK3/t6YRja81DFlw cMETHausFFjA0y4f7hkZAPscCXMG3xcNxDPC+yJYxgyCKf+8YXBjZuPFxgcW p1x3omMbd+rY3v1+fgjZzJ1qwUxWcIdNnaCM+UH9u9DptcZldz9pf7PjlHRa 2P1gIeSBHUHudCwCVLE380hUqm5oLGj8Q0PVtydnvqU7Hey+/uEQ+pw7xeKF EEUPx6kT1ELfrE9vXNY0s6HqkXR/y8VymROsgd+COa3jyxNklVRllTTeMIE7 F99CF61h653592tKuoZ0XdP7qOPAnJAwtJS2BXG08qAqbberDrZ176rOc93v 93Y5DvAM1yPqkIiUAPlLuAOUkyWqw3Uv3vl25++7n+193nGOgU4wBHeIlkUQ qNTF2T9QHW5qKfoBdujZzx3AwFJDfctBNs9RxYnqcOeqPKgSu57pecRxEpGM cFaUT0s8lCiL5IeQEhmlZ4pfbtrXXNzcULsCQ5py2Nx4wElEuRJMRIFX9vog biYyVpzNe6f5+02bm3975FEs/kl6SSgrmoiwtBPPAdNVhUkaXHOyuR6kv3/s f2EGJumV8YxQe4gr4dUhMjMJ4zSafwrC/xS7B0tBEgbnYYYm4bmOFqbTiw/+ Z9PmlOYGrPYo+9LVhSpgE/hiis4cfBOZyhyO83DUCl7Hjsl7B6IqRZ3VQfVC GtD1EFW0F2kPg0+hoi0Sx5xUHXAXCDU/dUDHQOKis3L0IyxzJI+1rZLf7+Za X1sQ4jHC8uUw2JKwK398LMtjZSjp1ZeIZEXKoiy/PkiEJnks5Wo7WV5WOL7A As4rsfmYBhedNJw2hI4d40027h70RKR4oY4rnaxIggcCrxdGM0JHQrMVw1SH sLtOgfvAlWHu4MRhHsEDceqABeSRLu6wqczfEu/iDgg/xuclPgwqyHKz2bRg nmKWjxi+2AHmqQ2yPHIFsiTJY7G/P+A17e4Q0aXv1EGBDWn52v4zKd1J2+oU tnFGCAag46P2UG4wAMsenm/Q3kNd/pZykEYKxMvw0CKT470QXBRzqAOWmdEc 7oAbKtUhH6ikOjjxuZBej0VnKTequeNxvPIG5nOHT+4gwqwgTIPkcWNQM9tr 2yXhAMZ237lDoCEfr+0/Fby8qOYOTrBhmaKD0GNgB/CjBsb8Sgm26dCAxE2S MSALuJAkcVe1J5s1B3dSxUiaY3Ea/UrOolnRfChDZuo5FHGHZU9T5UgdoHiD TMMd2sO5UE+0h6kD1oubyvpYVfxGsZTXZ9IOQANn4qT9PIlYM+5AN3zClioP UnVBh+6bOWBn9meVlIA0CKYMGGiEYhgEO8ljpR4RT0j5naJyEMyE5IGN9sOi H/cWW2axPN7UpeQh29iQREgeVuAgBDvJY30Y/qqYtcY1KzoMXNF/0oVRWHZo 0jiRaCDWbFR4irBXMZ0yQuAbPB/1sytizbIXJdnCSImtZMsirix54a6+xpzr FEaU7GquBm4gV6KMeAwv5SjwZVDLKnkwJPIJJwsLd+X9eEcOpn6VXNBLapa4 H4cMFVAXK/y469sDwCUGNOEgR4zkNJsRBioTcLZ8rFn27imShtGTIpsFFQjL ktWXs/FgC8o0g1wIXhzJ0Z4LKy+fyPtxW7K2MtaMRa0U4b6sSDkG7khOcoE4 UAcVp2eerLgv1oznYZsusmCUUoL2Yzr7EZNkIopzTFe4kfLUBSaHJ0VXK+sB vQgHWRtAyzYzRVEV6HS16geWvkEsDYhXPI1pNkXFAGRaEsTtyWYF+ETFmlgz r40pQk7UQoKYVSEtkaD9zoqNYLBRaDASbHXoj9P6zYwR0cyUlUshXdDMsHaE /5NuJ56LtRHqTmP7rthon5I1J5yBJ5ajOKdmRSDDoQXSssm6y36E17sdKjNw s8lyJUEtl443yMWaOdHq6INoHSUg8DMJFtSW7ow1c41v5sn+kzpG1ey1jBU5 jAwWJkTzNVZcgFcLVjYsbsIVYyjVj1JwlFzeO8uejjVjRlUpPj+k5I6FqeAk uYJDeJcQJlLLtKWSCyp9WOvFmnEZYzncosCC339GDlbNzrVs1VAVcnvtBZ1v MUEH8DNsUzCj4IWuNGAAIKWzCtJs4S7AsbIdLibjMArJFb8cBKPap5SFAvFy W8nlQ1YC/de7SLGwU3I082zJMkFwEslxEYd3rbJcSZCykWdGTi6UjjQj+1Rw J1423nSRZwQexSgKKA/Dj0YqUU1yWOVBkARUn80yoxVnCw5hTEPu1EsYBFBA xQtEqUYqx6CSUsCSoq+Ntugsh5cM0ZKV5xWHKJt4Z7QklB8WH+FNfW7cY16A qiyHmBCkFFPASPMO4THd8U6Wg0i2gbw5nKfIviSH5aGZKPnEguVKYEsL9Chg pJknZIXh7BCiw1+SK4cNPPiS5LAY3FPsWlIslO8YiR3qclhn+BrQso/sg3g+ x2u1HcAJ5Kg8dYyV0u0JeKhNQtgXUJEQlYw2j4wVtRS4emFWljnAGZHksEio +LFrQSmWc9SsqmXGWOegPrXcSIZVM+Ena/AfTLcwTbqojiWnXtTmxmllJc3t Yao5aTpoI7y+wWEeIhLnME2yIit5eDrBLDgttdjKOC2FozlyKNro+BDX84La gtOuYUSoMEIuJiFcV4I1Yj1gIaw3SWaB5R6YiWbBtyxGLlGPjPDqsFK7Mk6b Bj02RgInoSAVHKMZhxVsD5lCGz6RSmOJBoi8jTnu/Q94P4YKaq0J3XuEjebD u3ZUgiiLUgr1TkIqYLm/Ifsk3gni0jBKJyYU0EIGH979pBwMpApCkiSZWBz3 teqWCrfuNo1B9SuTz0c3Q0pJEHBWxpUMbTVED966CTWGbBCWhM0ZqDszCAgW tA4VPilyGx3lLYeOFiHfL1GuhUo5mlC9cGkCjo5lS1MmIJn2nniXkhH7kEyJ nRt0ZY53KhnKVUGWAX9H3bG2/InMRKvBw5EB4QvtC43gImVSWc9UwXRMgGAJ BLakdtm+jVV9j0j1bU6OluY4t2NdB36dnhSIpBMCss6BVTLOCjDKd8iAyMOE AMGTRrU9MIHTvkPKdMh5CGosEyYjXB4U4Bw+yYHIIASkjJf/ccQULtOphC4P kqnHMTsoxKkdl23VXhKkvtQu6W2c4aYbDOAKiE+eLRTchQb5xvGwkLuj3FVC b5zKE+1cUIN6quKpHdNyTIbCyxiqHdeXIyIvtk5uC4ysHVx1IdE1EEzR+wRI bpAiaJxixG5RPNcp0UDEWdS+JFyogUilz8B5B5EciIT79eJh7DRe+B9cKTNE CaUYvV0mA0KIo57xDJasaVp2PH8uCXJ7ylxnRn8InAVCdDdBgWI4GpHtYmGI X28w3OZhraAaSqCNZ6KTI0ybjueIgyIryu1QEyW1BSfUiK4IKLywliHFXF1c r6IGWeRwirelKiOAuAQ6krCPRfrY1FbOrY72AZ4cCLGdV0AfX0FiBRhe+0Sx CRALtWqxlOQOW7ODizaS2S16YDJ2obRTMoxayV2DM4kJEAlBW7FDsUYATiCz R6m2LVCxAINOYJdRiBcoK8BEJkiIq1pNWVYB8VlyNhmk5gL2MDGZuhZGKTsU OJJTVbtsGKidt5XcLtmB2ik7xLld2EHtlB7CA9iinStbEoRyJaoGlEqsgEON cgS1U42hgHNao3Y8MTiQBCAOXisLMm3Qgl4gdEAMGwi9ZEExEVaKpTQjBSW8 GZmgDK4GlByh2zcLwNXhLN1OsRbRTscJJQMC8VwgcPScpc6ldimGJvS3XWGU Vm58ZEgVEtcZ0ZfLOleq6s6XGxwQAiVfvTQDJR2tgKsPapdckCugIqo94BDw XHcqsmbnCo80tMIo8S45BFqCuI5XwTSR50PLFLXj9hJ8PZGJSBxRkONqQNnl y5xX6nZYR2ypNpXtCAjeT+O+j6A/KokyGp3KhjCPToyT01H0VjU/yKN2UNcq b4EXJxqhch17i+qdXIOtpiEJFV2A4FcPWB5QUn9eqwGKSWS7Re1HON4nGszV k4B0RO2Y93aLySXBTjSYK6alW+wIFF0Hw3cNIJQ0q08Re42epWMoEZBoezUo +rZKLIQ5r0osiivow1HD0iF64kmtjtdo/ofpM4FJw3cKkF0suj9CMe8a5Qpw +CTmLsU6ta/n+J5kBJ0GD9aj9sJIiZYXClC77K+oPRanNfYaTSL1xgDTX3SF VUpH6gVpDs1F2vA+lGRozVEwhbWLKWBljqr2l5hQ1C7rHLUbO68+MZZmsJME ZdszyYgZBhiljd8kRy0IohjzsCMDot/agqIn4gKRQpzacWGVz14gxFRRkGVY xNj9qlWK2uXA4RrHzbGT1GxBF8tzgqN2OXLRFhSwXiB0P4DMMODku4qDrmJJ 9q5iAQ4ZSFvQYKZKppMUq9cpCwbJgh4g6RRGvAnCOIPqqlzPRI7NSAEe07uK oYcALOGjmslkTT70mWG4mNqlmJwhHAyJu6VESDdIP8Nxc9Rkx10EGBpn1Mks r7OoWkAnG7SeYXye7LgZewY7N9c2IPS1hVFpc8q36aqsiosZzJrVekCRF9tR upjMjsgIJwMoxxYMkLcpyYFIlicgstudYsQIKUB4WjHLeyxo1CHKuZNVjEih BA4qiwwIRDZcBCTGex4CIsuKB6DIewDKkaUHoMTLDHZ3+cCuwcGrxTVUafJd AvQZZuMCDHK7KW8ClM8eF0u8zDBCwgPEL39Ev+UbZpxixIsJcGp/eQE41YiX fA1K5I0zFQXw2qRAQDCkBCl9iWI8NlbtmO4AzNT+8i5AKJ2m94cm8eJCiwwA wRSUdWSqES/Ujhk0FvcqNqHJFrwfNF1eu7ZzbeGThdc4CVQ7nKlGpOSrKGgP eVWa0GRloXYpbaZqF4cMaAPZQrhAgrJSTDUiJV8N7sS9ik2AckimAR4TW8j8 85VM7UC8kJAiQdnPTDUiJd+wjkexCVCKMZNfeTQWF2bT1CSODWQRCSlSIEvZ VCNSqL08SBXK1P7yApAGlBpqmsGyPIPQ07SVHS+QDBIMUUiRoGys8oxIofYy vpqgFGt5AZhHkWKyLM8g9DTFIKnAvRBkRZzGcCjh5hmRwtCC+tpqH8UmNImU afI5qtplAaB2LHqdgWxBf4yzoKSgPMPg1C67lDwjvjwAZWWZJmC1HlkAphlh kByIlGzTmFLrtGKJF2qXRT/PiC9qh2pbDyh15zSDZXmK1tUyIQkDI3cQBDms ynMcvcObZkQKfZbNulYJkaKcqI0vOwuGxod79FlSv3J0dEBbEPMNZZvF4BIp HmWyZTEBehwqyzo7NOI6VGznATKIDV6mwzTmuHlBIkWFKS5K+Y4bgqRYlnUV ZdpxUhiJIwJOP4DJgchhAieuMKXdfCNeqF22uflGvHCC4rpDKEiVmOSR1Tqs JV6oXTZ6yYHIFmeqppqTJIM6fTOoWgYTvMvUKb7NVhl0nc47sg9XAEMDAjHX AjnnyjfiZaoitErxsr5wKrcpFvLVJNT6ihdJqmQN4huU+wBMDkQ271MVqFjc XR1hUI+lJGoYYJT65iv3VYm8kH66EB1drKoyDIDr3MAdpHCvF5WSiPKNeGEb Rd3KVWKHVMoGa7rEjq3aY1wATed4oRiZYkC7rr8tBhtxQYKyNE3v3y6Om24E IrXL9p7aZTMwxaD7dCNephgsSw5ETrumaMpK6SvxwjV7nCjIiuOuYlnEpxvx 4gEo136mGCxLDkSOcqc4bv6fbsQLWyrs7m4kENlStr7oo8AywJBrQdnAT9Es iw8ARI6+pxhmnG7EC1uKV8rpOqb4LlxVj003+KLb24QjsoGfYnAtORCpGkmw jO+u0ZuE3bJ5kMMZXYlXi6Ukm0xX5K4K9bGguVuZbFiKgNDR0L7nNj9b/f7q NSn9UUmoyPaWsvX0/u1Q+6C8GiWqRjEOldVJr97eqnY5Mphs+JJQ0enZsef1 6Rm9HkM2+iQsC6jaU+t2qYLUnjqk2oVkak+tTQGECzt60x/QesR0BIYOO8te zVi4YxYedqZJepGg8Zw1mO2yns8w6CVHAu5Zgxx3yJEAQZihIED2M23meizx ZuKFWGPgoOmxIf21SWE0w4gsNl7cPUmRyPKglVLZczIi4W4az0UV61p3tPrS yt97UJnaYAMf7DNKXB0BlWkXSZgpV2t5uUzEro7ka9fJLkRsqC8W9AmzIVpB lAXlaHiGEWYKoJ6urHeeMyoJAD5QCtJmQU4LaXGeZDg5ORCJU1IgC6lHsZQi 1zhu/E4yCH8Nf6YKc5Lh12toF2LayAOBHjuQdY264qCuSlI/yYB2jUFyOZlW t23oa3GTDCfKQaN7cirJIzkQWdcmarvI+TveCKbaZY2ndgnUSexEfQqjqjCP jaSqmuS4icOoFfh5DV7RvJcGWKWGpm45l+AU27k2kqtzHhtJPTXJsGNyWwjW iYp8O2TOshFigDYtKu4FFttrI9nfe2wkvGNnhVYO7BRZNkmxrOWuYrmiI5+v NUKQL6KEXUvJLkRZCvVfy1FGS8JEI+KSA5EKcKIBSiteF3cvFe2Tq2eyvck1 LKUuooZUu9z3c53j5uuJ3Hd1UtcM669YCgyPYilpqb3EJlrnGpaidlkIcg1L UbsURQREFtLkQGTflGvwwqPYBAjk1gClbqR2KddcSwlwKYpyDU4VJAUiUUOC mMpl+VYXchhg2AUo6d5jKbky6LGUbCLYUlxhJwdCd48LECrLwl7FtAuRASXd eywloe+xFPJlneiXClsB8Ul1IgUciUhB5qqMuNDktTJqd2LaiK5OywoywaC7 utAeUe1yATK5LYTb+qqy4yjFRF9SIOWN5wq+2KiAVhDSIPmFJOV4aoKebhJ3 DO+vcl2cyMdX3h0i7gRlI9VuKhYbFRj80jdOKBvJcZNrI2cAIHJ1Xu7IoBLQ o1g2Qh7Fpo2kNnVtFO9z/9AEg0fJgZiKpWB271FRABmUR7Ect1K71C8TDFDU HuPtwIR+bPICkQ2/3CyTq2cu9BVL0frqUSwVPbVLnaJdpu6cksRl97OUF4ip WMqUAoO+CiAqUoojSrFshKhdFnrbiDtql6xs97OUhGwmq6T6ikSkQLneoK9t QGOVUaodbMNG1C7bals5WrVDPtbQxEYeWxAQuS/A5hgp0QqEvh6AcqXddtyk f72mMjtJxR21Sz52bZSEHZlMTVexGJAVO2RYm/IC3dkmV0LYRlHXRrIe2Qah r9fRYfexUXIIpmIpULRidSecHD1Tu1wzFBvRiqvvhFP3GErEee4xxAcuBgQi JRsJSoFyvUFcBsjlrr7FrkoAyvUDapc6xTYIrW5exEnI/ZN/wSLmzYWyJSg0 ImK8EQXULnX9eGYTWarQcOh4g9Z8w6ZA0+mxD4Qsnj+pp66yJSiUiAiq9oCz Wg8lNZXMzb1nVMg63iB0oePm5vGGTHIgsiVgILxnKeSICGiAsq+jdtn2ys2r ro2k9BlP86fbXGXdGW8Q2sgXWUZ4jVNOWc/Pnal7I3nwkGsdqaPGGwwqNGKB HRR3HSSMG29QObkVJMgICFWQci+xXBVU1tEDSh1F7VLiFhqxMN6gcqHSybcI g3WuTwpB9hd8G7LtQpArwRraark9WS5eiINojbjBiIJxhoP4rmM+MRrnuOGe 3Bayv9D3SctjlyoK6Ob19iC+soPb5TLfOLYRKb6B5qncFFQQhMRyl3pZUndc aQQWDSWlGQ0lB01jlY2q5UZ+KHdsF0KZnrPky3GGXW4wSDxOIlFHBx1MxRot q21sn7vwrjQiYqzy/z6ZvxwQ6YcAlL1kXVAPAehngWXtHNffcVLLjzM4RaD4 q5Aa+d19+Yu8wOROyrGK8erxBlHosaJc+xir2RXt8/iEWHGdtiKRPawB66R2 J3XCx9Lo1sA0KQLk7sOxKn5q5WEJiRn9EIWyn5zouk51uF0SgjwsQZ+5PUp1 PsPk1OnCSbx55OuW3Klo2sh8dkWOjWcaUeTazuHn1CXljdGRKY/US94eo50q T8BLhTPWcRNFH0Zh9WU6boQRUaRMasxZHFGUOcYoawKwWRRR2pX7RFKy9xjD ldQudY6GCbbzZJ0RRkSRoFSXsySitAKyl8xT1pUxBl+oXTL5GMOJ3M51jgay OTIAEImiMUaEzNJRFHUBKhvJ6jJGOa5W5EVGP4e1Q9ql2mGAQX1/vxeIrDFj 1CDtMnM5QdVAFEBZY7SlFBC5ys3t4NyHxVICSltqhz0AEIkXEpTVdZYRLxqg AiJ+HqPAKkuZT6YhQOUayfMmxZMDMRXIJnO2ESP0qBqu2ABgthEjo7U7otwu V61HGy6jdvPJPiG3AuLjr5FSa8xo5rwLYW6cysLRmikCQeJCPwfYJkOZj0KK s7jdcduF1h5bXMUKaKUhwRIudkkB1PkRE4hql7gYbVB2tgFWAzkmwGljEepj o+RATAUSlLONQUbL4BqIxIXHWWKF0YbMbIPWpqWSAzEVyLbAo0Cua8w2qOZx mdQ8GohymZxWmpZKDkSierThptkqLqpCXksJrRmITZYqMmidY8RXkdDaUe1i KQ8QepODVBokKNsCjwKxVJHB/xzNF2k3nwBGIAl5W5DsjvUzzG1JXENA5HQo hyOCyt8i+RxR7WKpIiMKcgyXUbvsjnMMl1G7PKpnWsoIXIIgFRg/Ec57uCIj LthGUddGkuhyDGcVKcqCg3P6O0vSun7oOzGQU8wHteUCWJHhSWUjPaD5KLvp LLlg5nFWLE6Z1bRRciDms+/ieVIg64U8O+9aSo47Pc6SdM/O4uMbeomvbGID hqWSA5E6ihRINV6k4gLWBWUpWymW486A4TJql9InIC6LqnY53AkYlvIAubq/ Atl2swK+HSTAsUCWKhYexVW7uKyYQeVqeXmYoNigb8CwVHIgpgLZXoqCgB5Q Nt/Foiyk2sVlxcrsCXmxw0p+HUWxQWLTUsmByOEmA+GLXloBrA4MJORaSmqW ABWJ9KY3qfHZRmHXWbK4mTZKDkGONfn1HZwRSYH5EgxJaNQu1YrHWZLWxVlz NWTzpRZybGrkDoIghY5AWKe7ymbaYx1J6Kab5hjEzSbrzGXbUYFN7wgxziP7 WGGU46ZyEpQt0RyDptmGdebIsFpeHDSHKUvZN9uwzhyeObkg23H6nLV5gQjn BQgd08wR9HpAOSmZY3A+W9yk22nnGxeAho1kD5ntOH3O2rxAhPP0WVLQXIOy ylKOUiz1iABZrWcueddjKeEXW4rzdHIg9LRw1AUCsTFXMf9IyGspSdzKZRqI nLsoS2ngyLL1Atw4HvUCkcQ9SrEdKDvXoK8GCJSdq5i/TnOHXDbX4BHzjvf/ c5lrlB7lNUb6eNQLhB4RivDnWJxA3Wjw/2o1K3DJjWz2JXpAIfdcJuhcrVP2 +9QupyyjDJcZISuGopx/tbKLejepbDOvNmxE7XKgP8pwFg1lvrpJaM0sC9KG bJThLI8tCIjU4/r9U/tkzlJ36PyibCSp+WqD1tQuZyjKRo4CIoccowxaJwci F1KvVtxWb4c1X7klDKJ2KZs1EOUsya/y0isXoBySjzJonRyIXKHVr+6qFQVC Uw1EWYqsYLsuU0CkPNAAYfB5Bk2vFtYkTWXZwn88crlaBSsMOs+g6UjDCvMc N1mPVEDAUtQu5cFIZYXNIi9nH1cbtPYACbACimpSIOmIFEiy1kDgZ56Q1VHt 4rJ5zDUiqwYI1pxnkFWA0JkQAbmTv5E9Db8HndBYsnvinK3xtMm48lTmSO05 aZecrfHsE/zC2ZEGx+cZnHWLvyAdTqs7zfgLz81DKrKSJPCRiswKlRBYo1LW kwQ+0oi8eYrAO4IuWuhP7bKajzT45KJSX3LOdwmO0jr5BXvqfGaemum6JN6U aPZ4U7LlSIUNcM43eHyVQSsXj/o+c4+VJKmTNtnDzGe/0/p8leFTas+x3fcm ik+pXXLvVUYQULvk3qs0xxwDlfrKchMVl/Wc4fWBgXxjAKRp902MsnGj9oBj 9UF1TGYh6fgq5V+FVi6DUnuMV5zC/qGW47h5ngTlFor5TG0qRzQQZbaHmdra bAoIPgUNBHDNFuR2Id1V2pmRAYBUGYrlgu58g83m0YpHsdzLQe14orda9EgS m2+wTfvvgDMAEHEuCcqmZL4yY7Vyme1aSsqRq4wwpHYnSi/tcy0V5XfOy90t IwxLJQcieZ4UyKaEFEjpO4ItRdu3m4z4GGHE303MKWK0PkNVb9eXEpdfiRom SykgPkl8Aa7/SUQ2JdRVErE6Hw6rdtkGjzCcdRPDJxkNDdLWTYbTR2gnxr22 GM1GszQQ2ZTcZNB0RH8bSdWggah2ycAj1OAKoDh9hJKRF0h6gZBieS+s7LVv MmjqsZS850g5SwOR4tYFKF9hIE53nRgaAAhVDWI62WvfZNBULEU5jhXzG25M l+F3Sqji9kojAVC7ZCh9HSuRJHAJiKRruWhBSXIB05SqBlIgG90FBh2vNFy2 wOAUA4m7ACVDXWlYygNkDO4g4wRBtiYL2C75eg6yxV1g0FFdPNSQZT2/0pBZ YLDJtFEyCPrVOSQoO4IFqlOCXqIMG92gQcQrDUIvUIEIrmVoQReaLK7KOqEB IRARRYE8aUYKMNWoN0TLrmmBQUSPm6SyVAA1L2Q9ZRvx6mNkDX3xZLNglf0S dZWCwrRO0KBgluEmapcL41lGrAV5WsSULHaTfhlcH1uM7a9AKl9WwCk4iz+v 1APKsWyW8MhW7UvC5CABWGjoIS5kCU2dAYFI5UuCUvkGDW7LjScUL0GDR9Qu 70sIKv4Dj7I4XijWdHtMAYmr+12SAJG6gC4Hy2blZsfRtYZYilwW1GwKi6WY TdROFWtcWWqJlpfNkLJUZEAguHwDJd27fsIMxFQg+0tSLJuhLINTQdUXJpHF nHItJVmJLcVZKTkQSbgERC5U3NxfgewRbubB6fgx0wBI7ZIvMw1OUbvUjZmO m5s8QOS+CzLjcBVBEJQLDQXDtaVC3C7JLbM/QDkTzTQ4dbPBqUzhlJlBAAe/ NZBfOEdDydWghUZXapfKm9olrXmgIZvUVwRItUIQJLllsr30LUpeW0h2HK4Y sU8GlMNTj40kuXkAyjuWPM6itwmGlY1WJmXHODX4DhlQ7uBYqAapCoulIq6l 0ArrDCfCRErYCuSI4YazFnJMUc023KC1B4jcSEQKhqngAzAljpvK3Puyo9wu b5MbZriyRFgTUu3iMmqXTDScLUWpMjkQod0w5Q6YvalgmLaUzFy4M8xwJbXL HnyY4TJql2OZYY6jn6y+ISkQOcsnQXlQssQg3zDFiyMyQyGfB6C8g5Da5Yb3 EoM7LsDIAECEfCQo7zwoMbhD7XIbW4lBPg9ArNAejorLIpQGbzG4M9QAmByI pLJhyjqOzBBT2WoZUIrbW4R8EaVYAFK7ZBx+NiZILrvF4M5QDTCsgQAOmxNL icYq93KxSodWTf3cD9joFmZNlm43oUldT+2yr73FYI0JzWMLAkIPgsTVN9TQ IKQAr4yCnYYqZQmZm7yU3wOQvqchyO3ylPktmjXRPgCTA5F6bCjPluqoW1Qn 9a04sjG4RQVrteMChEncoihYJXpkq3SLYs26eB+AyYHI5UoSlEsrHgVS0N1K tItSXhwiAIOqXTLOEGUp0HurwZohBkAPELrVPeC4CmRpvpXqd4Ig9fitDJPs NYSh0dp0K8uQQ6ldznRuNVgzRDm0LTgABDmEJkEphm9V85TvTFKbJ2qnbwMJ SrvjAhTWDBFm2apd1qkhqm9CcgcdClVfWp9V9WDfQ6EJKgCUNnmdBmmTYksM VqjbZQs4xPDorQaF1EOyuh0ptF5QSX5wUWVtS7zpxOmYMc3ifAJYtB656kp6 8MXJ6/pabxF+lsJxsDg2rtqFSYMN91K7VDyDDZwuHsuqnXPgOB0waiupV2nG VS+5CLLI4J96DYEepSRIlhncH60c3A3mz/m6XTZ+jJZfduOiyl+0ek3Gws3P elCtjAc0KlngFzEliVHULne0U7skMkbL5SK1y/kC25ArfGqXNGKidVEdSKw7 uvuRfb/2oEJGARvoIW55/m6x5qet0K7To8tpBaPlZwAXaUbxN6MpZi5SjKoS VLJh8gScfuYOBicg8qDxYgUKTDFIaIXKqB3fyrxaFMv7lRYzDWnwQQyQ6LaY QZFjBxkAPUAmMjMo+dBbZuQ8spSYwV+XQ+3y6mNqlzWP2uXtIKXMY8oggxgg WZCAUAaNc7u8iSY5EPlqHFIsC0ip4+jX92Yos++WASUFeQAKMTwA0cUHNECa dHIgssK57yCKsgJ5c7cGeEAGlLrIA1CyS4ZyN7i4VNyKZQ2/1yeK36lHN/hK 1aAfolVdJW9z1ygVLvyepjhVU7c5bkLxK/nNYW4XJ/qVc3dLe4lNO1G/gin3 VfexhTyvPFcrltds3mawgNqruFK6jaOecgUDiRKbbjOi3m849zYV9TA5v2G7 5EBwMQGr+JlSRDVSsJmLWL9iREIGxHcw7xDFsijfZjiR2uW6/G3KOvA7tRt3 pnuBHDEUy104WvFKmbnceUDtsThtgPwyCS0vAc16IrTO3S6uxNhJV0wEYB4g /OaAEA0OgikQ7BxeJUHVVaCRykL+SiZqlwR+Ow9LSw+3h2j5o3apQdMN9iWH gF9uowQtPpu7XXs7wu1ya+DtikFANwYYIQpS+7ooOcUDkF62L/JScSUHIt9i RIKwOwgpBZi+QQm1yxJ4uwrZapGX55huVyyA+KJ2eVXY7UbIpjPFcwcGIgGa 5rjp+w52DaXgNMdN30sYFB2SULtUFNCeUhgVaJTESRJW7ZCSlJXFyBr8lhb+ srxUFUww8zvYpJRZqV02bneISTGmUpmOVMLcoeIoxl/dqk4rlqg4OiZfzSq3 FXmsoF9oBEFEiqXyu8MIvlQVR/sECJq9WoDLYkjtmDXBgi7wqLSD/hJbWXPd wEDAHfjNFaRA7ki7g2ebhd9OSu2SBZbSrLj69ingAHIpk5iM776uXuQD/OCc TwPnZxL6AJkqIYVfKCPf1EedSIF8h4z5vTbUTnnRlm//5IJ+qXZBpM+r+6kd 16l9ol+yRnIg8qUw5vf2LFV8qQr1+b6ppeICZD5/Ow8X+tSO3/NTHjSACxAH yr4lYcv8Dh4PEHyDmJ+/xAn+4WPFrzCvKbT4y2H4WJEelSmLQEKKc7t8DQW1 4xcyAYGpXZa6O4XYwZjokZUqOQj6tjmHvxRoH4Pwoyl3gCohJbXRd2OBTeTr FqgNcwgGMhX/cW4DYgaxxHGilNxnuwFKwyWiWVFEjF/dBobBNx2l5wetUDuU I8CDMDXMhUUiFl0ZRedSA36naK2N7wavDVIDJJjgvvjDVILO7j8vfGdcGs4r n4Pkq/g7lr34e8Dh35HbeAU9K8q/Hwli+sYvrObf0bv4Rc8Z/C2ufQbA96il Vsfxy8vaQ8vxlx0gWRg9FqFfdofxa+6OhOmXWjs/lBXdF2WxUCCeC3PwaISf 3/x/auOmL9WLSOlk/vd8RG+kJx7fOnXr1F0z9t6X+AaVbu2j9963a4iVsnUq xcneNa048lVfQnbE58jC+I+p8X0sJ0ec/JkzVtHWqR98xtfTP0dmxAAyX2Sc VCeGn1t/OpCSPkJXfs5IeN/KoNb6vfdtLd26eNfS1t86Tutv9i61fKho75oY sivN6Ief01p/u/1dkJ5x7Gr59mFj4NZ6/Lz3PloMWn+6awj8ASxoDd67tH00 hPwK6Dp1+87E4xDqj8MfvpTCjL1rAOfUvc8cA1xvtG+tQM2pWxfvXfMFtKkp o4MGX+jcuhhaK9576L2fbN/Z2omZE5X5tr/r6CrOmHM6wt469dBysEgspT/G N44QxqVpZPo4/rL9XZRKS/wMAW+tSDxupfyXVfpaf7t1ceIx/gO4Cv4QK/rC 6sx5p+79Z+q9FgVS28e8cQRnSxP/xdlkE2eb7HT0Om5iBDZXbD97oTOd5VJZ Rexr+EvaG0c5cHHm5JgvqspKO1T4RjuKtf6UqJO2a8YXVGVO1bf9KWgrxS3B 581P/mRqGtZnSocKCccHf0yGI3lvUP7m9leAWPHtZ3kWFzq/YG9jFiYl0/4b JrJ36ZeDwu8XWbtr8Hu/okn42Kv9ufwFZiL+wHB1fZdGn195o719Xp9+nz8f +lPrbxjU3qVfBhSuJGl7n8HPW0shqlL/C3N5458xwnlETmj4Gbv6YWqxxOOk v/RC5xcFBdNKp6nc57zZ70+fM5XUQ4X4+b1n0778PDLax2B6ap8HaQrS4XsP pfRhS+Ix+gWzq5tfP8cxfvxT4meQnKf+4mziG190Jki0tPZ5lJSnJn7Wf835 vMngMpZ+oXPvM9ufgn/Pvvcrn4EG/9n+CiWD/mnW58SQlkyj7U9hOuwjM6yv mhitPms86evz1Ax3KbdrxnsP9ZndF+mvpjmu/6ze9cyKVB9ajtbvM8ywZF0X 93fPQF0tf+tPaT1ak/jZ9qfav9E/aJL2GwD1m+jkXUu9qJ34riGfg3prBcTa U17USbri1Z4MyL60KraPcZz3Htq7xgM7SUcFeywt5m+6i3nqoSwqqn6Dv0i5 uHcpmOQxxvMYVk/yjZlj9q7ZNQP9OdSj5YM/Urw+5PuyWt77Ccq+cZQNBxEr Bc4XVaImxo/If00zLm37Kxg2e59prZf3svX9286tpbsGf/BHOkvN2DWDEid4 4djVWIOlSNbCyISfTc6XLOmtK/4vgzQfAQ==\ \>"]], Cell["\<\ In particular, here we note that the drop in X is preceded by a sharp \ increase in the response, R \ \>", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417839482476605*^9, 3.417839534585404*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"PlotSubDepOscill", "[", RowBox[{ RowBox[{"S", "\[Rule]", " ", "0.5"}], ",", "250"}], "]"}]], "Input", CellChangeTimes->{{3.417827204654479*^9, 3.417827247230474*^9}, { 3.417828247882063*^9, 3.417828259010274*^9}, {3.417828370149326*^9, 3.417828399242978*^9}}], Cell[BoxData[ GraphicsBox[{{{}, {}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[CompressedData[" 1:eJxF13c4lV8cAHBkJBqisjNS9rjXzDhfXNcWQpKRlZGyG8oqu0GoiIwUkhWV bKKiYZRVUWSkuPcqO43f+5an31/v83m+5/s953zPed/neYVdfC3dGejo6Dro 6ejw59S3HybkQ71a7DfPGmzVs9AMuHWSSMqtREztA4EW1p+1TrBRDvHktqCn 5fmDJ7iZkQpJ4F6S/0tEv2HHxpLPW9Cphnw6xtzXaOaQFmnSRhi9fatVgOIH kNbn7/NK1uJo92Kf6Sn/IXQx/3efa7Uc+nn1rOlyzig6s3WetzNDBUnndwpt 2zKB2EtSHxdeVUf29/jmFOMnUbC0dvSmHITquiqv+flT0KXqKpF7E7qogfHb 7GzOLHpbNJkgByaojy1tiOHdHHrtuI/znaMZom7WesqxZQGputUVeIA5EhRO uCYXv4RsX3j12npYolBNEe3D/j9R44fmyo52GySoLqH/NWcN+FpGGXB9ckJF Wj9qlzQZ4WF/IH17/EGkrNMpT/eOERLs3x3aKOyMzAyDeTduYYZ2lhczzZYu KGxfM0U6fi1M87lLSbS4oaHA/ame/uuBSWNW5tQ7L2TW1zpDy+GEi+9+7e2K CkDhHxz2b1jghJWV70uF0wGofHKhWdqYC+w4GCqCrQMRx4p4itc8F7RvT4xY kQhCPdsvKI0aboWzFv66ch+CkZ2XdUjfN26olxEwJ4edROcCqB/n9Hlglrro ELp4EtWdijXmvM4D3nqiaQv+IUjgYjW/uT4v1JDgbav3KTRcIdDYnsEHnL8n 9aJ8QpHHj/E19SRBeFR38OGBdxEojSnc5126IHhqZ5pkiEaitg3cvctUQTh8 YS73gU8kkhQ2yldO3w5diyakFPozaFFk346BY0JwZv1Mma/yWVSjX/vE4rkw WI671t3qjkaWL1hWhueFIWJlQ7+UZAyaMreS8xMSAcbKiuzpszGI345y9WKw CBz7OEfQUo9FoT7bvZ5vF4W6rsMiG2viEFw6y6YXtANS1tQ9GaM7j56+36rF kLkD+i4m/ZrxOo/MpIv8Glt2AHF+80R2z3nk8LSrV41TDEY+6JVzll1AIT8F cmQrxEDH4YZd5clERG9899XUGzE4OcfAqPA1EcWlkZhu0+8EWiRzloNSErpK POwtarETXp+Q2sNbkYTueT1U5J7ZCbvD7RbNqi8h9Spjj95tu6BHt+q23K9L 6BHjh/RktAt4X/dTnUjJqDub6Td74i5o4sy+P9iTjKi9lu30suIwYXdbNIsl FQWLTqw0WIsDwfFIhIVtKvrhd1L2dKg4XG4piK4vSkVs7DkpCy/E4b6p1Sc6 68tIXIfiMHVYAoYMFIMVmq+gssSIpMIUCWBiD8jJEb6KlIc4W9xrJaCtmfLB Neoq0juxW3x4nSTE+6+VNLJIQy6lsd96bkuCzC3N99fZrqHPK7xiyd2SwKCh 31IaeQ35GZbu27MsCRPF/XlrVq6h8LGeunYDKajQT0JblzJQJq9IbMMnKVhZ UiU8FMpCop73q09tlAZbH85f9+9noaL7BtOqKtIgPR7QFrInG1Wb+1pUxkiD aOARIXnDHARZDFF+pdJQxtNZxZyVg9qmLj+Q6ZMGgbb4ks75HNQXU8dXKCYD g1QB+o+lucixZ4+Zu6kMPI3s35yw6QYaFx6NEAmWAa2NRi4fgm+guTrWicxW GTh1fF1LiEke4pi1Kb/kKgvOhDyfZvlbSNBB2Co2QRY2e+/OcLt3C0k/nVo8 fVcWWIHhwkvNfGSQEYE8f8vCQGjtowTXAmTDZDzqsFMOXvbsONlIV4hcfbfE 7jWVg9h1O3eG3ipEYbpFHVoZcvBWVTTzBUsROl8SFKD4CBuf0fs67UkRSt+G tkp+lgOV+1LNnol30Nv5z6UJfPIgZED/g6hTgkYkOyOY5OTB7tKjQZpMKZp0 umcZoSMPlyOKQW1XGVpoD1sI9pKHmzcko4/nlaOfv1zbZk7Lw9t5VuY5lbuI UdHw2uEkeRBbd5rS2nsXrfOS9ZnIkwfJsEyeh6EViCOLU8u5Sh4W8hPyyuUr EffrpY2Dz+ThAfmGbBGtEgmufT9i814eXlzu735Qew9JBxRGmzApwLs0XsWZ 8AeIWHBh31NuBYgz8bD+EFKFdg8GSOhIK8Ct18H0vnEPkTaH7UodUoBwLalS l6JqZEDWfKmyVwEYOsbvlX6sQXtOiWRXHFKA8x+yloKIdcimnMVfJkQBeEl5 X7mz65Er7ysu0VwFYNp0uqbLswl576mauH5PAd5Ls6gb7mlGflGZD7nbFGDZ JV9By/AROl4dmZDyTgGUdacF02xbUBj1kP0GmgIQeF0IvuGtKFrURDaegQAz Ci962Joeo/O2CnSMWwnwnaWGg8L/FF17tJK3rIHFT20KylZ+hnIXh4ODzAlg HjPln7b8HBVKP9GnuRIgwPIKt+z4S1TqfIfH+zgBEpxunuD52YnuX0maGksg QEPr+bQ7It2o7nlwvVMWAdT8KnQ5nV+hR3QHEt/eJUD0lWiDNXWvUZe3GLFr gAAxPV+UWbr7UH/2OibjaQK8cle/uyVpAL3vofU9/k0ALd+ZHYnBb9E4a28h cBKhtWuEYe7sIJrWqgmp3UkE/nU8Lbn179FsYLaJ8m4ifDmbELkveRh9L4wS vGtKhMV9YRp2QyOIhXPPo/wgInRf60p5WDOGNhgopgrHEWHybOsRL+MJxBXK cygzgwg+h1zPr6d9QnwVv1S2lRGBXshYjSf7MxL5NMqa/IgIAi+q63+ZTSEJ /vZ37H1E+PpLyXTdp2kkb1FaEvuZCBnntq5x1aQilZiUcIafRGD7buJ4TYCG tGpPWIRuUoQqPutC/QgaEnr1uSNLTBFUDLg4NubQEP1nO5Om3YoQYjjcPFBI Qx9/P28f2aMIX+wSbOOKaah1q6b+GndFGMxP3va2lIbyZUpbd4Qowiue2vKE chqKJW3XIScqQii58+LzuzTkeSCp0eOmIggYPZCorKAhowB6zfhqLP6Y09i8 koak4wNqijoUYYJB8HsJ5vU5oyovRhUh49X9yh7M1AdW9ylLimDQliPzHHPX y8eEjRuUwPn7WOMVzBVjyuXyokqAlGOr1DGnrBTIWKoqAZ9Oa3o9Nl/QZp47 gaZKEBqPrQyzjUSC+GUXJfhgEbPNFVufKqzcenBcCUZEX60/h62fZ5+P6MB5 JXCS7+lIK6Oh70eGcpZzlWC3QfqDC9h+B6PMBPmqlOBrQtK8dwkNNWQ0Zmi8 UIJ3QsLRClh/sivkeRxHlIAi5Kb1sYiGXIY3c+WyKUOTx623jFg/SYtnLz0S UgZP+5wPx/NpSGzD/IYxJWVwcy83779JQ5Pq/ay7DiqD1W5zin0uDflezfhd fE8ZUCR3R0I6DZmXsod2tCuDc0/jIa+rNER4HPqd9l4ZxNpvHVS+TEML35zm Cawq0JRxnTkziYZOm+2YeuigAnIG93PTY2jI0f2y59sAFWApVRmnnqUhdJp5 YiVWBVC0bjwxkoYYiiaHtSpU4Klt/blzp2gojqmkr5VZFY5RDxSH+NKQN7+g 1QSfKtQuPzfY40NDxsTEbhYFVaDtX87h8qKhDc7+L4wOqII3c69zgAsNpdYp PeoqUwV+uS63SCsayglsKBm0VYOoZqVFojINLVMtJS/7qIF54GbKKQINWXp/ yjeNUIOud9JGtbI0xOi8KaehQA2G9C42CO/C7pOZS3LOghqQmhor0rbRkLwE 83G31N1gb9Kol7hIRY3vTWG6Ux2SByncvQ+oiNvuY93NUXVwUCq2+VhBRX69 x9QcFtWhezaSY76UikReZBM6BDXAN7M8SbqAimKqv+4oP6IB4nV1HNSrVGSW epk1iE0TDpQrX2U8RUUFGyVjpLdrwkrX/rbk41REd66BYZygCf5FEoelgqio IvLTirWdJgjcpPWePkJFW33VqCq3NeG6caz6rYNU9N5w6NUKWQsKu7c1SBhS 0eaCn9/t7LUgVCyKXYVMRWRGQdEafy0Q5yI9ttSlopIGx8ATmVqwd/bnufvY +3yaOMw5/1ULNiB1DnEiFZUn0WlYsSAo668+UyhPRaPYxavkR3B9dlFcRZaK jAqd7/nrI7hfr1UXJkFFPAKjVtRMBPXE47L3hKjIJGRNqGkFgqAGvpA8QSqK 6Be9VfwUwRt7t005/FQ0eclt3vsbgpoXbGebuKnowJrZZ7OiAEQbg5F0Diqa U1jjlCcLsL9aaY66kYouHuSctVQDqB9s/7ZnAxU9qifyVZgB3PQYmlJkoyLJ E0GH/U4CKDDOy0czUVFrftTv7VEA4qmDbIqMVOTYm5rSeRFg7eR6IoWBipIJ 92tlbwI86wm7GEpHRdLOj/e8LwXYy3rUxuo3BT1J7B29UA2Q/nzskuIvClqe nmejdADofis/t+kHBSXzMedkvgG4/pT3PdsKBUkbbVU0GQMwPpz2YuN3CjpY oGx/ZxkgYsfybfklCmpzPl7stUMbWNttC7vmKMglKRZ45LQhtLFJkA3zj4ar PW1q2rBQppViMktBcvwPf+zaow3F4q/LR79i+UZtSf37tWH/j/FlVcwuJwd2 xLppw9pvpeGpMxR0pW/JZOKkNngHnItzoFGQPBPryOUobVgvpHT3GZWCnhF5 gvUStcHlk7izJuZfSWrXb97UhmZm3mIChYLcjUMoLp3akBIa6Wo7RUFC2gPX h99oAzWlTYz2hYIGlZXNHMe0QVDoMHMCZkuRb6X7l7XB4Mrc1eefKWgDt7lT /xodEOs7zxyAuX196UbrDTqgnSC7gR8zLHv5mYvqgKnVWu+QSWy/1KdCHTI6 wNjy4Iws5qoxsW5jVR2w5v9YO/6JgmS7RhT0TXUgMocq4ICZv2D/rOZxHTgX 69PkM0FBA5lVebWROrD70qYZZcwpyVus1M7rADF3T+AazOvCuu8p5urAbEcz b944dp6Bcu4Vd3Qgc5lryzHMkV4Xtsg/0AFv9vD1xpiXrAyPST3XgV7507e/ j1HQPaOCnbd7sXqqJ8V7MfsCU//OYR3grMi0u4t5QqpZRWReB4ZtdicfxZwr vH0y+7cO1HpUHt+D2X5baJrAOl3g2VXdoYD5NYPaMvd2XXgiuZDyfZSCLi5d uX1FQhemCoUnhjEbUef2cynqwkLcQ782zE1vyms2GuqCVs/75WuYT3duOHxh ry6g/e8+RGNWeezDx+aoC95szS/8MZeWi59mDtSFQZa4CyaYvfNjpKNCdYE+ dNFYHbNY5tggfZwujGcXTEhizozN0fyZqQvOS93x7JhtQ39RQgp0gYv1bPiv jxTEGWiftXRXF8wKhqW/Yk5w5P49+0QXorWiLg5gJlsdK/Pv1oX0pFrCS8z0 Rj1OtHe64N40dvQR5hNKSU1fZnRBQmw5tRSzohTVz3NFF8ZYNgfcwkwTMhGe YCKBwa69LzMxH2Jfe2aElwQxLAfHz2MWYThEcBIjQWyA+9VozEOLLR8H5UjQ bnLwbhhmq9Fw3QESCYT4eVkDMG98MzRrvYcEoY8GNHwwP+tQv/l6PwkGoomP D2HWrllk7DxKgrX1iy32mFVdPimmnSABm/9omC1m+XX9bs5nSECpowZbYRa0 e9A6e5kES+on2U0xb2HIn6vLJsGs5tYCQ8zsRZd3xNwmATnwZCAZ8/floCju ehJkuSqmAeavuW73Rp6QQCL7w5Qm5klDq7GiLhJw6Sh7qmMe/qrLFfSWBLrB zmxqmPvTiSTNMRI807vwWhlzh7ZoEDOVBI1N4w2KmJ983nyzc5EEirNXnhMw 31P7tsaFTQ/Osudpy2G+MzJClNqiB7d9eQtkMN+I73adE9QDd+fCndKY0xWa U+rF9UCQObRREnPSm/KWGIIe6Mtm+Elgjo3Mmd2joQd+Aemq4pjDJJJEech6 wDxB2LoL85GTvmfv7NeD6S9268Uwuwk7VQa56kFG09UdOzDbt5uNah7Rg/x5 OlNRzHv9tThZjmPzPSuNFsFsxCOr2xWhB4wW914K4+fRLBCYnqAH0cGEHbhV vdbnuaTqwQ/HvXFCmOU4fr6SytKDdZxmy9sx76yeZpgv0IOdHpbHcAs4DxIa 7uoBw3TZL0HMXKwvXGJr9SBMuOkSbra7tcnmj/VA1eS1LG6G/Xce8XTqgflX 214BzMt0Gd8+DuhBBV1tFO6ZwgSR4o96QOXQ1MA9aR5iGTytB3qVO1f4MX9Y 8jqjtaAH2duPNuPuy9lfwUJHhk+FYxdxdxgYfuxiJUNl9AkX3I9nVDdf4yTD JP9Pddx1aeI6rgJkkH7vzIe7ErgDpHeR4fZ4228+zEWTLDfm5cnY//j0JO7c pMXuht1kOJ/3og93muon+jgSGYYPKrfjThzuU7AwI8NL85pG3DFxT5x5bcnw Y/BLNe4w+QeXRp3JsM3Xrgp38MCt5uLDZGjzy/hjn4jLX4ODybC8xqQGt5t4 tDAKJ8PRpsg/9Q50BVmsjSdDZBT/U9yWJ9wiu5PJsHbfxy7chkJWd69lkuGN VvogbmjTHXHNJ0O7DssX3Cp+RA6ZcjIsffy5hFuWW1R7oZoMaa7HWPH9izVt 9m9sIUOWremffvB7MuTGvSSDd+UBWdxsD0fo+EbI8NbpzD7cM+ZXY6qmyHCR ebcv7p7PJuxWC2QQu/46Fvd1vofbLrDpQ70Ufy1uufCLsr+V9GHwZuVO/Dz3 ktXtRxP0wTevhA6/D6ofZkbCL+tD/zEOPtz8J/I9+HP0gW9IVAn3+G2OQOv7 +nBHUdQT9/H1k/FPP+hDyUlCO277/Osb3b7ow1p5l2HcgPZeppvXh6JL3Iu4 Wf0bctTWGcCVVCZR/L5m9KRW3VE0gDPXGYNxRxwx0jRABoDYDeJwuzHTtYwZ GkBxGWsGbhnVwx0CTgZQqbmuEffmbiGrGi/MG6y6cC949b2xCTKAz4liI7gb M7THE+MN4PsNJ3r8/bmpuOgtnWoAPYptm3DHvSyeacsyAAuPmu24LX5v+0F/ zwD2f7DQwD3qQt0c9N4ATM5a+uFuW8lL2/TZACSa9E7jLk7dL1gyawBrD/TH 4g5+0ioxsdYQ2op6r+O2cwopO8NpCEVOOoW4tZbklLYLGsLFANMK3CySGWBL NIQfYXqPcU8/Mn8yp2kIXY67O3B3HWA2uWRgCOd6B/pwp1/w3/fMwRCWBAU+ 4Zb6qn9UI84QAknrGfHvhYlGYuCOZEOwrpRah9sntu8Ee6YhNAlzbMJdLOB+ drDMELZnqPHhfuFZHNdabQh2FuFCuKcrZy8UtxhC8nKiGG5pozNpp/ux8Ybc cn/qX26/7jZiCDacKcQ/9Yc35ZlMGcITtg8quEuOZZfw/zYEzpczCLdsXt2j up1G8PTkLjPcZtQ1bTfljUAsa58F7qNqxi/P7zYCvdPuVrjLOt/025sZQers djvcXbzCQyRbI7Dk6rTHPePu+VHaxQhifJ2dcMv/WJj+EWwEHe1KbrjN9bW+ jYVj9VtCDuH2S45efBFvBMFThZ6474pzMVy/bgTh9U98cBOsFbZpPjaCt1sJ QbgDphqF178xAta85OO4KyPNpIemjeCZfEUI7rltQ8oldMaQ+TQlFLdi6WHt UC5jELPWiMAdRPpubCpuDGuflp/Bff9tnI2AhjFMr1uIwq3Mkn+43tUYOJuY 4nFXEVsiHM4Zw0vikfN/vvcHhy//rDAGwyrRRNzV538WXX9rDJ5bpS/h3l3N 26TJYAKW4Q3Jf+ajr/9Gr2YKp2z2pv/pn6GT2BNfM9Dm176GO7WscdN80x5w EfrxJ16/btMvjnhz4OZq/WMf53c+zjstgP5O+R/zPsx/V95iAXWlVX+cJdCd r3TUEn6GN/6xyNkV/xruveAhVfPHTXYMDMJNe+HgZPUfOxJYk2M9rGB/WO0f P5SR4stfYw1r4/6aQ8L0Zmu2NTz+/TcfiB3x3IY2QC77a1/NPb4+32zA9epf 2x2eMj2RtA/oC/+alB4rHSVrC3Wv/pqx74zH4ze2cIbjb/3WzWE3mKP3Q8ze v85qtr4hIWMHVfF/fdxP5oZJrx10Fvw1u65Qxq6AA6B4+69zt3CmMmy0h72F q/FFt8+bq+1BftXHBx5oibo6QPWqs4ZEL0zRO0Lxan7rx6R3lTmO8KXorxnt 3lIdNJxAr/ivSd2iDGsHnCC35K9LpCYeBsJBmCtd7dfRGr/R1IMwW/bXObr8 YmWjB+FM+V/Hc4e9CSE4w8iqB4M2aozEOoPA3b+W787J0h9yBqVVJx3KGRVU cAHiqmdWssUXolxAZNWyojLeEq9dgH3VPkY1d+yFXWFxtT7X8rEMyWOuML3q +gLiuaVnrjC/atJk6HERXjdgXs1/Jt7mauLlBhyrdrwRQfj0wA22rfornxr9 GUZ34F41jV84rMrW/V+cIsC6Ml3sDpyrbi8PCwpbcYcNq76lO0fZaHQI1q1a OWFo0c7pELCuuq3rCX1+0P+edkjfopF9CNaumnBCS9Nz7n/b7PB3ntH1+Ffv VFde9IkUD2BbdfF90nn/kf89dG082VvO85+3BMX8uDTwv1n9dZz8j3n9q/fq tINgjLD3P9//bnXjdPv/3pvpsV3q0OF/+U9N3ixt2OTzzwtCh54Xlf5v5NHp Im505J8d667avPv2v1WVTumSk47+82Rd/fmJ3b7/PGLCpB2o+b/fDprM/0b/ +z9JPc70 "]]}}, GraphicsComplexBox[CompressedData[" 1:eJxVmXc81e/7+G2JKCNbZiGyZ7gvex1bQvYKDUSRCpWsloxKdgpJksgMWaVh ZVZ0zIxIZJPv6xW/9+fxO/+cx/Nxv859X9d1X/N1+Fx8zN3JSEhIRklJSPDv qbl1go5Hl9rX+f29km7H1Iy7G2Z/ZTAB2/Rp+STqFAR3rtJqBwjCcPGjxQsU RWjPvFXhHddD8FJxnTafpgGpVQaZXdotC7t4PC1iyFZQhn/1s2/WShC+K6RP m30KDej3d6zpqAFVrSgbj90gcjcMnnZpVQfvGhq9YhYiUq9Yomg9rQV3lOS0 7UmIiLZskIRzUAciOvSODm5+Rwd/655WidKHKNL9OhsYK5dz1KqSEYCz+cbM JsbP9R2FmnyMQcbVFtOIiF7v3P13T7QpHI2iJcGZoyz7a2G9GfAtTmziz/Nf XfOrYLMA3+NL/9hBmiYu8rglFHRt/OM9IkaPGtKPgADnFvuomvicnLOCT3Tr /1grKVIs/JA1cI1vcQNjyEOqazZQfu/vPw70FX9I6LKFx7Wb/ziThSmBjMEO Yoe2OLD3lZqAqz3c/bXFDUOxX19mOEDN/BZrtQuQ7eh1BLOFLS47XeE7nOAE H1a2OJotpC9Y2hlYSEj+6SfZnpGm2+8MAqRbPLuWLrwY7gJl2+snDSqe2vG5 wu/Nrd+/zpG5vvzeFeK3+b3wO1eClxuwbz//m1OJ9AqFO4hv8zQ3zdrPfHfg 2ubHmn+mGQw8gGKbpYPUVD3/eMDK9n4X2rKuBcUfB/Lt9f4Ho3HeEp7/Pc8S ELF+p9cTyLaZxk/D0e+cF5Bsc8dFe54IPm/Y3N6vZNXy4cVm7//WLVKO7zvo ceI/fkvoW6bfffI/XuT1+JBX8D9Gx1tdhA1O/ccOVfesvs79jxXlLmjqxJ7+ j8erXt8YU/b5j798Iyxsov8xz2ER3d8Z5BD+MhDVSsSg4+uj5K+1eMCp2em+ 9IscJKwxbT91QgT+nJSuN2GvQK4cHcwCmVIgCfIzUSmdyOde8mZ+sTwEnK9l bUtcRDUDRvCz9TCIMNnd0aMeQaJBASd8zwMM+B2gVHQkos9kSits+zSBX+ry OJGciPaX/yRbyNGGLD7O0K+YfZI7E0qfyuqBwF0J0QWMpY9Isao2GsCHSRJn 3H4BpK/nSJWM4AY71b/4SHhes3uh1gSOOMRs+Yfz15PO+81g1P/jP3uncbdn y502BzF3yn/rtbZkZHy1FlDIsxUvZeIHObPJj8BExpa/g0xLNJu+FXxW24oH 2xNTRkGxR0HCYospuq8cb+yzBprKrXhKe3PkoYi4LfiYbt0vnSZv8oEzx2C8 Z5uX3CYYy+3g1uQWp/UL3JwidQCjuS2msP0yY6/iCDF/tvjZwbEyf3CC7sUt ztDkEno+7ATxG1v8LYBBZTDSGQa27y/WI2OYR8oFaLfj5ZCAuLfIZxc4sr3O vHIuWfScKwRu+5/W+KVAfg43WNhmh4dh0j9euYHI9vO/uPhCSq3d4cA2NxeG BISsuQPDNv+0T2JRSfeApe3fWwn6Oc9qHgfS7fX8Eq0bfoPH/4uPQQKlur/q //ytmmJufj5jHh2oc/oqd+k8svU6Etw9xwaqA48+Wj94iIq9ymTZZveDYwNP DEVuCVpsDlk86yUJo8/jMqPr3iMrkRjhRBc58BMfLmvSWEeSIlSBbgnKMLZD YEK9egyxcw9bzmBpntRGbvlaORFx5djMqwZqAI2s5+cEGiIqVpojd6HVBh1h xyIqPP50DtsNx+jCg5eEtz8xfQ5lVdVV7TeAao2y/L8YH+0/0ZeeSgAvVrt/ +vb72yR4+u2CHTdWWG/pJqAK3comsw98wKr5Y/ThqWcohYM/svrHQeDoUhCy /FqD2ryFZNp6peGL4Xnn+zMjKIryWXcDlSJwVsjU2Cr/RsYJiTQBtKqwU82S +5L9EHrnHJjvJagOy5GMt0oOEVGMA9vmfJMmtHkcYHAkJaL7ij9Io7R0YCO9 o6QHk2fYZYYxYEAPWORonVcxlqfOPvHa1RAeOfbV4vLGCdHTuXUagW2p8794 2bh31WglYxhxvx/kvanshTr33ZQb1t8LMzsqWPogAwVvcGccKhKCg9VZdIVv XqIQzbwWtWQJeDM5v5Y70oQMzpCqRpfLArEq6SWBbgN5GrvEZSwqQQbXjvzC p+PoogyRaeG3Goye2nVCYZOIYMXL11RAA2Y9WaJu0hPR6kpAONtrLfCoog7Z j8kjEXrr0KacLjT7mFn8wOQVM7hy/2KPPgg4hbHi9tczrP84Y0KAzOalZVyf kKNvpsWid4CFlzUpIT0WLfEfFew9xwt8r8PUagLzkEtB5FznE1F4RkXRXFpf hR7UrWWtqEhDD/N3K0aJb+iiseBUmb0CDIgJWFmVzKOI8t+ChadUwN9NjH8P 2zBa+blAO90CsJbOocahSUQFhcIXqfw1gTNHJ+EYGRF9X/a6oraoDTv25MR2 Y/LUJKuP3o7Wg758E55ljGULTqhfYjYEwsGI+7i8xCLumuZkTvD2++pRw/QY zXSZN5MeEgZRl08sY7WlSOxM7jUCpRQ4kW7qDEq0IRciI3MmrTxQCofbuGWt oGXyvGPC0odBu/mx7YbiKDpGPv9+XgDgbfEx+6RrRLRsqX/u4AcNmLDw7haj IqJT532uPrXRhr3MAwZTeH3eNR799rsu6Nnxev7GWHJ98ef6WQOI8FllweXz 8GEeM50iAMVn2n/+0R1RxZkrJA7HTow+3Wx4g6iZTOqyA2SAx/CcQ0n4LEqo kqtre64IgoxXhsFxBu31UZpReKIKr+TZhP0/DqK73cuEsfPqYJNG+ZuJl4g8 6HZcGeTQggtm0kY12P7mQW6X2+N04JPMn3k831OLJoO1jD4kJ2nsXsdY0YmY uFFkCDFquv3/6m91NglF5mckZeZ076mgDdqzJhzvtcAMQUEbjVOqacj+bVuX EpMQ1DOZCp0eKEJ6yWHIc/MQ/MmJo7BxaEQNe1V1yd1lIfeCiHjSxBqicN6d UZ2jBAEkPKe/tE2gZ9UO/kEpahBvQ5brIDqIzPnnCmxW1MFvwfJU6x6sPtq+ aphP1ILLrn7H1DD5UznLWG/S6oLo2QMOI5h8+dzuV78914do692leD+nTuaj s1eEAA2bYX9w+Y31z3IwsFCBq0OjhPXzm0iUzyBbPmkfzJEU0qzSP0HaQcrC xJ2ikHutJKLDpRKFzHjY0f+SgrdKMQ8tvvWgxTnHBWkaBeg/ISs6yrGA+D+m S7fwqIDrg+l3hKhhFCddUnnoEYDsSTu1XaZYfesrrGDQ1wQHF9k6Gqy+ktk8 rWNv1QbDSSJ1LyaPuOKJFm5HPVCkWqhcxPjlZWOx/p8GYCbPGIrLy32rnMtU lwMi5Vzi2juyUHs65Sbd7QOQtOf091PPXqE9aUxqzqWSYJMf8aFC9xP6Fm7M w1kqB/Z/09Tf715DCXutvXSGlWE5/HPiyq9RNH7HbcF7DkHeCza6zFQi2hnS XiybqQHN52b6X1Fj9auvsD5CWhsu99mcW8HOH32yx/9IiS4QumdlfuH9cGtf j52xAVyN2BzF80G5qY/ZywgxmNP0ZxBrqUU/1SqCK/fLwGQl+pUnOYnonf0+ GhxTBNr+vNTDB2ZR0eUfa0dsVcFAWtzDafcQkuAqWz9gog5BLWf7mvYTUZBc bO3krCZ0j5q9o8Ty69nex2/yT+hAp+7l5D7svLNNDSJjO/ThTEmg/hrGpTL1 YfbXDYHYkdyG2+vLwkRBDKckPJcrPuqa9w61fWqUZqCXA7vBbDVryg308XBx +BVtZdjBPdQYkf0DGeQ6F/vpIki7+cGgpw+r122DUrpGGnAp9OmRbloi6kmS 0VId0YJi86smzJi/vRly0/Zz0gWl85NCk3h/cC79GdemPrhcyfDE7WGawGrx 9hwBeHOvruPyhI50VjXrHYQPQ6QsRagaldyNnRqJkYYdhgpRUSSDiCxvnKhW pABC6YxzbV5zaDJbkzWuSgU6QgKN5ouHkFOOvN3TFQBnVl8FJkUiSonMUN1I 0YQmy3qLVsw+VfeFNVy5dYDCK+o+nv/MNlnXSYv1oD31iwV+fyVfoqy4VQxB ukGsAJdHT0f1k4KFFExTifz25u1Adr/XjHZePgzZL8vLuu+OoLrXMpxFxgAn pUpqZn2JaOzgGwX+BQ3YO2B4dIKCiAzYD2m2hWkD8XXqI3x+ovGrzlDaqQfV I8Fu8xi/EGYmS001gNWf9mr4eX+qaMZSGsSh2urqx5buOsT/Y5gmrk4GTCdD FNJK/yAOttVSKwolMM+mz2F99BMF210nsi+rQvXGk56nsYPob6xS6qNH6hBm e4HNl4OILIdDNXu1tIAqJ4w9Cu+v2ATUF8t14IlgffwAdl7STb+j7+31ob9H qwzPX+U3NvJSvxgCy9L4GC5PEO20B3tmPVqPUByy2qePCscX34gZMsNeP/LL +/hSkbFYnm9NvSBwGxg1WvsWIbG3U0sXXxyCw609mVcKGhDphC2hVlkW3i/X qs6XryJz7x/ZRmFK8ONNfd0Z30mkQ8EjUOGnBh4/nDTtNQbRN3l5Y4cRdWgq Xe58yoTNUzt73JyvaAFrpG4PAZO/c4JAZ7moAw0dhl+HMPlORnYH0aXoQ59d WRiev+Q1WiVJvlLAJZJk9azp6+gdPVvXygwPiHVLdtY55CL5fqZ690oRONBY m2ddWYF8w1PK2N5JgY0HGni4rxtJN15a/TUgD70SjU1c3QvIt+uckv3SYaiK 4X/V3TiMHLoS4ltvAez3K422Oord78wfG2ZZTZhOLy/3wfIVM81Hl8hKbRDc JX8ejz83KpL6EX09kA90WsHngTNTNXy7+gzAITLHF7dv1YVIQ6ZUdigVfl5y Sy4L1VF8T4pDByAlNsBnt8grRCGr/+BErCTcPEvlFbDwAbEfPSnQe0MOoHQo a/3lGhraJ+HbVakMYYYHb++0HENhPQKP898iINYtWjA8JaL4OBZLpRsasNDu 5PtgBxE9jG53/cOjDeav2UxIMXtyBWUf58rQhbDuXIoZTJ7TSoafbihj80rA vfd4fOaV6P1UVBCDhVM8ok7HatFA56/uxk1pGFOL1VRz+oEMZW63U0spgoi2 u5ves1lEcr2abFRaFUzMDpOUyg2h9ep7ne+U1EHxbfCLeFEiIjXodPz1VRN8 yWo/S2DxGBHV5MxhrQPh3aOJeH7PT7DheTavB1epg/vwfvBcquy5m4GGIBvM 3YzbK4kV7RWdkIBoMjnOW9Vv0a6MYYWPw7JwIoDKT2n/BuLQvn59D48yJHLq hxoLjaPhaV63l1wIckm8rnyZIqLSEaF2Q0UN4FJWXOfbhc2X+pYjeW1a8Ell rp4Ls8dy4YqSoqEuXL3JXTeO+xdxdxZhSh9S17rUcXv46hccNVkRBcZ8MU6G kNcoV6xJ95erNFA1ezQIEwcQukg1thapAL3+tWZCdPNIsZCDhy9RBRh6HnQt jgxh/eFeWcIIgEDmx/v2qkQklDLyjTRKE6pqKZP3YP1Zi57+UBuNDiyk0Z/E 81PUp/zZd2l6sMGuWY33ZwFaq4ZGwoagndSYhdtD+dsZEQ0xKQgpflR2nr0d 5a12WCbZHIacXJULAaMj6JYT07y5EkCcV7s/MZiITc6UPfuJGkDqmkpzlZKI 7JqNh1VPacOYb+byKD4/IotEkgVdWL1qe2oO1zfu2tLHaAOYzyc9iJ83yjcc xn9WHGr7RQMkDeoQ8yV2j5RkGZB5dpidMXoOHZ1kfc30RRGO3FOidL0wjd65 u/zIbVMFxUESyQfPBtF7Gfaz2rfVgezHfBE/NxH1L9UPfZPQgvzA6dVMzP7w TnPQNVsHhMs7VPux89qOURHu6OmDqmz7cTw/BS2ezvjUZAjRZgFDuDyuPiyR FkYSUHTjynQ0RxOK1NqnoXNbFoYfFH8pyF1HzOfT6+XfqgEPicIrSuZB1Lyr gOEIvQYMnKsq4dxNRHR5iYIRT7Rg96+VTCl8Pnw5fzO/Xh8qXlpN4PnkhrUU CcVeaWA11jc37O9DnXXvDiIdFRjzyBQ9YzyMmm53Dd8sB8ia2Fljpk9ECo0n OWkdNOEL83PyAuw+Z3Nj+POHtCFY6u5efN5Z9OruswrQA+62sTNLeL5n7Zd/ RmIIRh4WN3B9eHYMDFoNSMLA6WCzc9UtKL1Ikt1hUA4afJmZSR1Xkc6uyy6l Ow+DiWpVWcWdUSSc3fEwgR6AsdKvVeQOEV32uski+UoDWNdmYRzrp0NEYgXY dbTh4o4nr/H+edbdc0jMxQDkju7axP15NTec54WRDMg+1H9SeXwauQXtXmi6 rArTsg3CR6YHkcv5XsFIN3WIYrDp1xPA5mteAt8YpRaYT0n6EDF7uQlf40Oh OpAy8rTyC7af2rKE3D4efRhWo3iB9xvLzWbXxdMNIcfLsgfXb9yx2DxMQxLK za8UleQ1o/i1HHFzRTl443D5JsurdfS4MjVOw0UDlk4oMebuJKKmCcZHrUta kFUvuEmHnTdDd6jsJ6MBPJ8VvoHLX0dy7PaXF9LQRyd7i6ljCDH526Utv8Di qSaUMgHLL3nj1A8XJHVgpXJ1B25/q0JqP/FgKTD9df3Nhv5nZMd66T73Tk34 FpTn5oDVa0WvXVkuCdrQn/ZLAq+PkmYFzyInZKBrinw2dmERSc/YNJJXqEMG 2ZzXEisRvW85/OizjRYUDCkT/DD5VvlvlJyaMQSlsOlJXN8zj8/LaGW+RI/J HhWv8yih0O/2NvSLTHBxInjzT3wKejuwV40sRRAYTUKGBZWLEI89n2VkzCGg 4GDQ+WDbgHg7JlrShGRBZcfO2tDZFbQyYy6aeFIJ6I4maBbUTyLGnI1VWzs1 UHlMEU5uMoh41XtTiX3qEPjjt0UeM6aPyw/Z+0FakDsZ+dESfx9pei+idEoH yq9LsuP1k6By218wTh/ez2644v6ep7ZeuaxKAUaBd8iU6K+j+5ShJ78m8YB4 uykhhzoXPb8dFpsbLwJ7rWVp8r0qkLdJ6VhqsRTcrWuhunS0C5kW0F1qacbm PwOH00Fyi4jNdqjq0fBhIP/L/4d+bBg1ZIdv7gsHWHz3LV7mGBHdWr775K6I JiiujfdmY/WT2/mbdPULbTBmkfHE/SnslIGqHtIDpRj3eLx+mmcEcQm1GgCt 6Konbt/rZ2aG/uiyw/h+Vp6XPx6iw6WGx7tYD4BgraWCwHgJ2vjr+m72oiQ4 fe5TsrP+gBRh7fGrQDlIL50rPPp3DUU/ejDPlasMS2pJ1HZRY4gQTH7JqAhB ZlB6sHAREfWmlGZVXtaAZx2NOcw0RPR0cFDmIIs2eKQKjZLj7yu/zw6GJuoC q0TB8Wl8Xpohf/dI0gBITVcqcf8U8Cwpv8AgBg5u569PCNSinvSdlIY/pSEr MKxsP9cY8ubisRzjVATpqzMqv+ZmUQ6DaITYPlVomYlt0tcfQi6xkcAuoQ4v BzvvJokRkY7lued+7ZqwkBRTr4P5921it5SZsQ7sVTLlxevnu7Ws+7sn9OBb nWkaXj+tzKd9H58yBBEh5kbcXjeeBZyRrZMANHmZ/4rJWyQWfaYir0UW6kkr qS/wbaA3zYv0NjuV4VI5E03E8XFUGEuiYkmN4EeUgoXdAhGtz7zlbRHXgFs3 JB98xurn70y34sEmLbAtkTjHh7+vY9MqTgZdKLf8RYvXT0Jic6rboD4o8/KJ 4/aYWOMQimsXBc+nw4tkvK9R5hLxbICpNFyTnjcuDe5HDu6Jnl/OKMD+063H xhzn0XfZiEzPyyqg/IVamufvEIrjpMpI6QPoMn/DIw5E5J0dIRZ+SRNuUckn ymH5tjvDpoiaRAe+f5jyx+vnI9klb7EEPdCtK/TB66flSpGOO48hTCRrpOH2 kMm5efQtmxSsvkfFRpltyCxUrZeofRhE+rip79GPoj9S5I5ZhwCUr/kO8YcR UbFBzv4nXRpwDMY7u7D66cbn+DLAVRviQyZDcX3tslMZ3CZ1IWEo5Ceeb011 1eZGQg3gDWcp77/3lZ0mxu5G4hCS9cP+FVUdoteTTeCLkgHGmtMfmsN+o3Of s9FcgyKwsPJJl01NI5/JT96zVapw8X7YhbdVg0iSkmYwMVwdWHpAMp6HiPjJ PKQdhbRAkZlSshCzvz6v5YsHKTrAMrbv3jfsvJ91pk1/VPVh0ndRBa+fVpSG w/b7JWAoGEW2VDSibPGCBsFgWTgmVHi99cg6InKGJve8UIMoKmGlTZ5BRM9m 6thDrgFjqkcKZrF6yUKW/acqXQseEhSaFbDzPnrmRzWU64NtVGUbnj+uCRAO RZNJw3fP1U/Rn3vRBV3Z5xHSKpCnS0cx7T2MxJwbTQYKAIR9Zd3TCER0sZX+ xE0LTahxD8n7gt3fCkny3FCvNny+UBiG52vGdl7LCi89aNvxnQ2vl50fE6Ua Fw1ghtB9Dbcn2+dlhm/vJcHxU7+SxN9PqDq5JlnloxzMsHJEeGDzxvSdn6N/ F5VBgeoEuVDtKLoVWEc/Sg7gTTF0V/ceVl/8JdyLnmpAvFbmLiNsno+8nDFv oqINZbFNp/F808bB169lbQC1Mi1zuP/O+6cT5JVlQI1i/OZm9RSi3bgQRH9a FeKrqWPi/w6idwbvYnts1OFLPY3jX0Eikj044+u5pglxoSY35/D3+2GJv8+e 1QFZPoIwnt9sHYOfX2HC+g0eQgheL3tDdkZoJxpi/fjuTly/QdHWMEoJSeDQ PSjReqAZFY3IF0oKyMFVMybVjqF1NNmIhhqOasD0NeqCw9j83aIuEEA1owVa 8VPhu7HzWt6MFVHQGEDnyXfBuPxVH86+dkyThp6Wu+qxxEFkfenvdHCOJhxw qOspxPLJS2A7I3ZAB0rnOZvx+DG5wJ9e5CEFS/In9l8u7ECZfPvG0zc14Hn6 e46HWL1Uf8PtnxSjDV62Um3fsedFuJq/0nXLQLPis2cJPQvofo2+lOVzdaCK jf4gxk5EDH3980dMtKCB9s6Ri5h8Q5sfmgdNZMHO4284wXkNHShqShC9oQVR KZoO2th6YPnlmPivUuCkZFZwYLEb0b6ojDNt1Ib96crP8XyXJPUm/rWwNtge ftqH+98oTVcuMMnA634yFfqqcTTzyrJkelkWPEQYpYy5NhDxtyZzwBctGBPe 58qG7V/g/JTdO1Aa7urSJdZLElHjrCLjAyYsfvhtgnD91fdYr1UhKWjoNETL 99uRhZ8aE3WgNpTTthYOY+v3p/nibZW1wLuf9mECtp/nsdia449kQUc3P+X1 yDoaNw02P/tTG64rZTTh+51rD7UYMtEG/lPj9vi8FcDI/tTfSA5Kpa4N2oWt o8zYpfZqZSx/kQhY4/4vsWej42CaNsx6ldTi8awQER9KtiEDa5wVP/Ool9H/ +7+YZPvz//8/RkLyf4P1f+c= "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[CompressedData[" 1:eJwl1XfcTmUABuDvszLaKGWUQsosslVU0iSJyB7ZK7RD04qW0USpzLTQlLQU JakoRSXtvfe47vxx/e77Oe/3e79znnHeqn1GdBhepKCgoJCPC3flzsJdvYHe laM4kvrUoy51qE0tjuBwanIYXajBOVSnM9XoxKGczSF0pCpncTAdOIgzqUJ7 KtOOSpxBRU7nQE7jAE6lAqewPyezH20pz0mUow1lOZF9OYF9OJ69ac1etGJP jmMPzudYZnAeGxnHInanu7n6XDaQd+Y+5RrW5v/Iaxmlv5Pn12czOd8vH2G5 /i+j9WPkB5lTfQ435/7lEzytl5KX0z/zJl/ktcyHnJ7P9KZyKQv1nxiol5Gf ZS31+7gj8yifyXdkHuQ1jNTfzvros5iUZ5cP5171fzIfekv5ftY9z8xN+ipK 6pfRT9+Q9dGn5Zq+gB8ZYFxafpp9pd/L7VlPuZoXsh7yakboH8pOvMyWzKOs ykwmGm/PvPFQ7tP4Dfm3HCVbyB2yC6+w3fhdWTNzwI15DtmGx3nK+E25G5fS N/sy98Sr+hZZgevyuXETuSRzqr8uf8gekaVkt6wNn+jvyfrcw23Zs1lPns+e k1cxPGdDvsTmnAk5I/tHbykfzDPqfzFSb54zJtezLWcv88gN2ePyMZ7US8hL 6JOzlf+ZuchZkVPzmd5YLs5a6N/TXy8pz5Ub8j7Q68n53JqzJlfxXM6KvJJh +ls5w9m32U96C/lA7l3/kxF6s8wHNTIXXJ+zKB/NPteLy4vpra/PWdan5Jre SC7KPOrf0S9rJXdSV7+bW/IOyFrybM6wvIKhWVuqZL9mf+nN5bLco/4Hw/Wm 2SNUz7MyPe8IuTJ7RC8mL6KXvo7y+uRc0+fzLX2NS8iPqKPfxWx9Td4Z+gSG ZK9SOfswe0Bfxu8MM24ip9FaX5H11IvKC+mZ94RsnzXI2TDeLMsxKX9jvE0e zcLMi/FG+Y3sI4vn3mTX7Gt2GNeW85ilt83e4ZmsqSzDeAYbd5Rr2ZR3hayU PZc9YNxM3h/6JvmbHCoby85yHVv1rbJa1ipnybiVXJ49oBeRF9BDb5c1zJnQ y8qJ+UxvKBdkXvWv6a0Xy7uCWvpcZuqrKa2PY1DOKBWz57In9KX8yhDjRnIq Kyk0Hkt3fSzz+IperhWVA5nAEn5hcOZaTmFFQcH/P6Rj6KaOYS5f0tO1/N4O YDyL+ZlBrjfMeWM0c/iCHq7/B45K6eE= "], VertexColors->None]]}, {}, {}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwl1He4jnUcx/FjhOy917H3CqHsvTn2riMjlVMJISqZ2ZRNpUJFQ/bee2to 0x5o0J6v79Ufr/P+/J7Lxe2+7+ckJqckDU+VkJDwmR/R/n58qysZQR9qcrfP f9aXeZQhpGaAz7/TZ3iIvtH4i9gkT1KLYc6/6Cs8xlDScIfPr+izjKRfNK6F zfYManOP86+6jseZ41yIc3FtTLAzssd+Oq7HrshlOy132lf1OdbYNRllT9Vc HLX3a0f626M0NVvsjdqYmfZiLcX7wfm49uBW+179Tc/rel2v9Zhoz9XCXOS8 8xHtyrC4n5qJt9nrvENbsTDui1biU/uU9k71/7O6yTlZr+lZXaVrtRYfMdp5 mubmHY45H9BOXGKA82hNw1Z7kzZhll2H++zf9VWeYJ5zES7Es4hnaGdmn70o 7qtdOa7NTsdA+3t9noeZ7pyH4/HM4zM7LdvszdqU2fYSLc0Hdl3i5fxDX4tr sW9jkj1fi/JW3Pd4J+ws7Ld3amsW26u0Cp/b6bnL/kFf4CW7NmPiPdW8nIh3 hTFxj9lub9FmzLGXahk+tOuRYv+pr8c12rcz2V6gxeKZxr1kop2VA/YubcOS uD9alS/s09qHDPYg/VFfjO9cvF+Mje+D5uOkfVA7k2yP1XTssLdqc+bay7Rs vBP2Ce0Z99C+X//SN+La7fpMsZ/S4vHO2Ee1G8PjHdBsHLR3a1uWxn3UanE/ +NL5jPblZnuw/qTndHV897UO4+yZmp93OeV8SJMYaI/T9PFs2em8TVvwCfOc l2u5eEf42Pmk9orvSNx/5wf0b72gG+L/qA3izzI1fj9oIu/Fv+98TLtzmRTn SZqdQ/YebceyeBZana/sjAyxr8fvEx5hlnMBTsd7Fp/Fs2RXvK+ssMvH/8Ou z4P2P/omG+yGTLMXagkuxnNisp2Dw/Zebc9ye7XW4Gs7E0PtG/F7gHV2Xcbb s7UgZ+zD2oVB9vh4Tuy2t2tLFtgrtQKX7AaMsP/VjXGtdiOmx/deS8Z9jHvO FDsnR+x92oEV9i36jfbTzPG9Y0L83op3JN45Gsb9IAuNyEpjstGE7DQlB83I SXNy0YLctCQPrchLa/LRhvy0pQDtKEh7CtGBwnSkCJ0oSmeKkURxupBIV0rQ jZJ0pxQ9KE1PytCLspSjPBWoSCUqU4WqVKM6Negd94v/AMwU6BI= "]]}}}], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJxF1Hk4VO8XAHB7tuzZTYSiJMbYl3vMWGbGEqWk7FuWyh6VkiWSSKLlS6KE yhJRkSxlLSkqW5QlpJBlxlr87i1Pv7/u83nec973nHPfe2Vc/fZ4MDEwMDxi ZGDAnj9mf5mbeH40qA74YsbKMIAE3j2hZpT9COnQZ73crjGIhHFNeoplv0T6 vRj5nI8OIaeqcxlYst8jy4sbDtf1fEV+X4u2WMoaRgS6SYXxxeNINcvs3FzW HOLl4oQLyZtBcLqKpjNZzNDw4rto0M4VxLKzfvpnliBwGowX2I6wAVyO5jIO loM3pXUfS8eFoOmzsAFThhxwb5YRWuLcBJZK9/1rXsqBZyjFS0lpEzg0vfuo LSgPks+i/e2ObYKTv6WylEvlYWsYPahxZhOUeT8liE5vhZRsBe9SmjAoECcd fvgqwo2FK68Sv4lC8aWzyflXFGFj58y7ITYx0OgXfOnxTBGKxQh+YvJiYBym ozDAuR3KhAXYFV3EwLUobvbDve3g9zL7UE2XGGSIb4mrHtsB0n4nj0tWi4Os V3nFKV4lcN7QvIzvFYf75eQJLU0lMHnN81RqXhwqrPysH8UqgQtH8U+fnRLQ GVslkS+/E+SXXNyqb0gA/9z+h5fdlCG0QOZCx2FJwDnI2MRdUIaPPXwrcxGS oNT0YyG8RBncJXJj2q5JAjn9LOK1pgzZy4vInUZJOEO632aQvgvkWXxN/aSl 4GJhcCDhxS7QfhO1a1VdCm6IIMLbx3eBcARZRdFMCnrp40UXJFTg2/PfWUiw FMy3nJkP8VaBFWvupde1UvB71a15OlwFcG52V9I7pICFQPnPN1kFbAX5098P SwF/pqCByxMVuEuoFjnAggPR94u8fa9UwN3egDdZEAc49s+D+z+rAGU6NWDD FhwoBeafM2dVhbzbZ9+c1cOBWl6ibZOoKliPExU8yTjQ6QtUJCqpQmke3tN6 Lw4M+Q+sVCGq0P47s0XFAQdkE/03mntVYaey0Mi0Bw52n9pyq9RTFS7rESrD j+Jg/8MNATtPqsKBigru50E4sB+ZIOYnqsKjz+z918Nw4CbeISSbrQprjf13 aKdw4LP7yejNMlUId55xKT2NA/+YjKeizapw7erOsyWoQysiL1z5pApSeozu bWj8mSlPe56f6DpVyWAoFAfnZM2V45nwMHbiNtPLABxcPKDKwCKMB4p/xArR GwdXEoU7ziji4c7TxxEqjjj478XKnSU9PNSOKLPut8JB9sJASLAVHlrGF6pO IDjIV2o0/emGh6IBOy+HHTgocnkg5hOKh2sCnyyq0XmWX03+8fUCHnxmuhT3 LUpB1euQ506ZeKBfMlfv7JaCFwyHLvWW4OFp9GaTmTIpaFEHl30NeDCx6ti4 56IUvPORV3vXjYfW7W8TshyloOsWJ6vZBB7cmUYKI3dIwecPPzsb1vBQPNKs en1WEkY4PuaDoBpImAr2nnskCRMGlSefbVUDxxAtlsmjkjAXdMtcQ0cNpq9a 1QTKSMJyfgyuxEINIlu/pda9kYANgrtf5AarwQX/0tGrvBLAQyakypxXA/5Y Tc3yHHEQOi3mmZGuBiddf73pUxWHLWPDHCkv1KA38X2tiLoYKEq2fOLuVIOh IQ12vwJRULEuKowbV4N2qihrK04UDJ6FWZ/mIwCfnsiRlDVhkO4Yb8uUJ4Aq z3RY2WFhYBw/aF6rQ4Djbv+x+n3YBPXC+qbMHgRQukXjWn4mBLk7i+rlThLA 7lNI42UNIYgz2kw0uUQAde6i0rhyQaAGMurHVxBgdNuVQpZaAVCKD6y830YA t6rOR2QzAdiYNazZOkyAb/L2nB69/PDuTQOel0cdMqaSrt1j5of9ihcU0lzV gfqgPd9ylQe0YOXu41B1oDFn3+sx4wEx2yOy3RfVQTtkS7PFrY3QF2OJk3ii DtUDHvidttxQnV6TrteqDo8a7xjqPOOCW6UqYo6D6hBQc3IoSI4LXAcEhLK5 NMAtf8+JWlZOMFqIvvxCWgMEapRLz57mAHkeOs9XdQ1IPfZ9smmJHb7pdnFs c9aAAwrLFJu1DeB3LX2toEwDrC5eLDunwwZWRdyn21o0wCmqlvlqByvgG04v //ysAR0c5VuljrHC/KwTHc+hCTljxRski1mgm6M90AanCYpeX/D2NixQIU2c DlHThKvLbmt3fjFDuKXcj6cOmqAbyScxso8ZHD3SvHoDNcE6pOhNIRszIOFs oytxmuCp8qhXspIJmO5/GzAo1QRbetehNAUmOM9a2FnPpgVsHh7UBzKM4COJ sxmV0II3u0Lz7EcYwEztUvsGVS3w1Lz3XegBA/C4BLRSD2nBJfaYffv1GGA6 dIhyxF8LOLVlf1VvYID2pL1Niee0YI5SudB7bw1JrVJ/8a5YC07fLI6u+7aK HH+fi8zWa4FRToemQOIqYvtd5LlgrxZ8cP7VF05YRcRFl5/sZ9GG2t4YS62L v5GsoOrCvgPaIJW+UpNl/wtZmtqzPe2INuypscjIkfiF7PEZy7U4qw3QhKuo 7FtBWFz4sqrztMFZ4edsn/sK4tCXIxn6TBvYaiR+tuxYQR7bat/Y9VYbjG0f fLlAW0a8LF1Tsua14Zvv44DdCctIXcs8jx2nDmxd/nFV024ZETdOSODH6QDL D+WiKoVlpFW3LCbKWAeIBXYE39YlREWRLdQ9VQeuRK3ab5RfQuJz/puTzNcB 3PzRocTVRWRo8y7/j890QCB104fdPYtIqvABb5NhHRjMzEn2T1lEJi9PjKzO 60Dczp9uVf6LiMnGSNcnnLpQPlP1UNZqEVlkvn9IAa8L3iIjfTICi4h1hEH3 gLEuRF37Sc+jLSD3lztsbtjpwn1Zj8Vt3QuI/cyKBWekLkSLuH2fz15Aaj5b wMRbXbDcVx/JCguI6MGhqpxhXUjeNbMlSXEB8f94XNthQRc+9o80dwsuIFta b+HbcHrgzd5Un/59HjllSiiOxesBYeXHZfaueeTDi+YdiIkenLpkvVG6fh6J rZiRe3hUD95cDf2snTWPfCHEZntF6kG6ptpn1UvziNZDcZxMmh5UVhWw1Z6Z R77nkkRSqvSAPvJpKMFpHrFMTeMI5tKHkvnKX+7b5pE83u2xSpv1QTr3QVCy +DzCkFDNNILXh4d0+uNdPPNIaeTYyr6D+rAkW9JaOU9HuH6fCuM5pg8RA2vh t37QEfcwPnpjpD5wC1uWjA/QEWE/7SnNe/rA2pB/PruVjvh9f+MzXaUPugkJ vewv6Uizh+tY/jt9iFFN5GmpoCMn7RMGxBb1odD2xklyPh35TOnvWDExgLv8 7/gWztMRgbzfywftDYBYKdtPjKQjJiw42coAA0i75iD5+QQdKax2DArLMIDH 6W02C750ZEAiIr2rxABahV9+8fOgI0Inbr3UaDKA1+UzrUpOdCRcbUCQPmMA XIS9fd576cjDZAY9mw0IuKpMq4xY0JHhSWn3R5IIZIp5kNPJdISa71IWYIpA pfN92WIDOiImNWwzlYHA7ZEZbr2ddMT8JPNpi1IEajyp3/cq0pGzXbJ3C5oQ qPXUG7gqT0e+XXan+8wiwHrPMOwajo4khb7gGWEGgL2/p6wl6IhCbsftVB6A HqHmraqidOQQ89yrOVmAnWO/JQ4I0BGaKrPTHWWAsdhVsZu8aL6z4Nwe9PNb svOxY9xIR148V5MotQRwfPksZws7HbGfIBW72AEY2npa9bPSkXlxGxK/O0B8 0NtTpcx0ZHtYsK//CQC3uzwc+Ws0pD43Zm1zDEB41ZpD428a4vgx9crbJAA7 uXTRlRUakoIvf6acA2AVHcqVs0hDlFwadn8uAhiQcIoSXqAhjZc+DidWAHBH jHan02nI0gSda7IN4ANn/PSnWTRfgi0rowfA980wPm0GzacKE8y/AjCWbKQ6 TtMQ5zwN+wdLAFIPsqlSUzRk+aPJ9EEWQyhdGBrhn6QhqSy2MZy8hrD29mud 4AQNaXYJLfCWMwRWS78Jve80xDU5DsR2GYLuHB7nNk5DflVf+9CsbQjNHvsc Ur/RkF2ST39t220IfFsjmYTH0Hxqc3KXnSFEVhFOeYyi+Se65eLcDSHOI2pz 9QgNudq5aD56whA8yUl68V9piAorx2BajCEQU/MmlodpyCs1sRDjS4YgsCap Eox6NVn7Zk6OIWQwsvGGD9GQ6zUUVZtiQ5h0tfnNgRo/ZdfAXGkIZffKFTMH aYiH2clJ17eGwJKUytM9QEOkDbtvDvQYwgRvePsZ1H0aGpaOXw2BlqZ8bjvq PVtmi+yWDKHSrKX50hcawiNq5dTFTIS55p+jZNQtG4t49/EQ4dhXIj8baljy 9reSJYK12v7KhM/oPKaapNt2EuH2uYzevaiffJVvN9MiQnScoelm1IG90ZEt RCLEvfvyfrKfhii/G1Q1tSBCkkqVbQ3q7w3IUL0tEYgMRwqvoL777GYK0ZUI F83Si31QS+bZzemHEsFfgFVRGnV3xpM7zyKJcPlatdNqHw25krLJRvsiESaU Nao/o7Y8H8Ty5CoR5A5Vydeh5jzTXkbIJoKQAOHUXdSNQbs8Sh8QgXAwNycB daR34iaVx0QYHBE6H4R60YZyfMdrIjg7Z4iTUZdR87be+0iEs9f/yySg9gPW rq0DRJg91he1BfV2Dbe4nO9EMDxlUcqPenRHneYWOhHc+XzFmVBny2z+dmsN re+27P25TzTEXuT0dSlOErR5e1qNon7PpL0kupkEVq+v32xDnbR49d5VRRJ8 UJTeVo+aOkWzEyKQgNDDlVCJmvXrHs4UAxKY7n74rAR1bc/DSl4KCV7dHXtw D3X4Wx7fxL0kwDHFWd1GrdlwRILLkQT5ouWZ6ahnK1+9Pu9Fgufp1xPSUBc9 VAhnCyJBSfkR7mTUPrmxSjGnSdBjTxdJQC2f8bWP8TwJ1N9k341FPXCZmBiR QoKXxMGCKNQZcVn6vzNIwLSHXz4C9YHTq5Mn89D9K7zYwlELBtlnLpaQQOiK FfUE6javSsvjVSSIzNL7fhz1BUfRtblGEoTnZH0JRm1ic7w4oJ0Ep12mZYNQ M1I/OP38hNb3Xq0kAHUVguc7OkoCvc6UKH/UYerJtd+nSfD+/rYrfqgJO6b8 vVZIcDSB+/Mx1D+lzWVGWY3gV8khR8z3he+3u/EZwaNcTV7MntzsUYPiRiDo 3jFxFPUWJk+8k7wRRD1YmcPcv/ByqG+XEag+d5PB4q9Pylw5qGMEu3sqAzDb DEeQuo2MgAdKBjHz9vTP7dttBO/52Y9h9bxq0815b2cEi6vKQli9sfU3bKzd jWBky0A7ZsPKBZa3x4xg1rwjB+tPy3WMcD3MCMa3VJ0MRK3C2eXuEmUEYkLm Ttg8cAcf18+lGYE+e4lFCOrlpeAY0edG4LrXNgObb5n2LLMrlzE8PfiQLxr1 g8FBtR2bjKGJ5RopBvXt+HY3Gs4YWDbtDzmHOrnn4ctYvDGYPG58H4f66Am/ 6Ad2xuAsFxtwEfXWigkmep4xfA5Snk1FLeXSh68uMYYWZ/Ikdn+EOFpd454Z Q/JH5+GrqJnsHrwQe2sMmQRq7XXUXxa9owzmjWHbWXO9DNSdWXalGxhMgCxy mOcmdh/IlKF3HCbga+nxCXPVdQWim5QJBOYIet7C5q01xnjeyAT0eo4i2H2+ NNCpam2J5jvFjWOOPd/oIn7ABFaJX5LuoA7pvltX4GsC+qFJr3NQHzmbNhMS YgL58exud1G7K5yTQSJMIPgC9zzmPWHuke0pJqC1kZU3DzVF2qbkvwwTuDYn nYYZmkmDbrno+oCwSD5qZVFZw/kKEyj+OcWDfW9cTwcZJAZNgAHP1X4f9bTV tdgnP0zA4aGS4QPUH8bNuW3mTSCxn1yI+abEU5FELlOIW/lyogB1VNnRm4rC puCxL6UXs6eFrGyjtCmo+xRqFqLeFZGkvKZuCr1MEWOYhUSNytLBFNrEfHSK UC8+XNLWMjOF/eVyFzDXDbkbBzibQnpgoHQx6r0muvbDF0xhSkR0x0Psfn2Z HoxIMwUBW9XDmCXDcg9LZpnCdc3eLMwj9/iD9pWbQlmTzkbs//KK2LQ4U2MK MjclAXPRp/AzSa9MwSu7zx9z6MZv8U1fTEHBx7QVs33uTV7376ZwPEh8ATMg e9MY6Kbwn6ikdClqjoDqLG1OMoRkLR3BPMURvLVTiAxldVPJmDtuKxYEbiZD SZzlI8zpH1KfPCCQYakxaQ7z2aNUfTJChvbbl/gfYe+TjeHlVwoZwr/pKmPe qeXbJuVEBoMzY26YBdqlbSq9yaBSx3ca87x3Z8/+YDJkbJROw1yTbjhyKZ4M Qy+m6zDnEBZ8lFLJ8HxHaSfm828KppszydDAd/g7Zus1kV+MZWTQ0zDmLUOt cf1NZGY1GXRwQdKYxVWjN+i2kKFy/JUK5mHXKYHgz2TYZ71oibl55c51vnG0 nycT9pgLUu1whXNksBgEH8whjfWKo+wUYA5nj8Z80OlkcZQgBdwnTyVhNljc pb4ZR4Fgmd03MG/Yng4H1ChA75IsxDzxwqqRpk8BgxNbH2N+d4jN/DKZAppy +dWYbyQG2L5yoIASi0Yb5jNbt/V7elEg22/vR8yuNX2uzEEUeGrN1Yd5x4zp Mb3zFKgbPfINs7nepSC5FApMxzRPYj4S1xnGnUGBw1vHZ//0I+UR3VdMgYiQ tF+YW70KztdXUKBMQo6xHKvv0VxiwUsK3LcLZsWsRI26Ht5FARsRj42YzdNa broPUiCzjIsf85EBvjvmPyiQ/jVCCHPh8VuFkmsU6NLsF8fcVjdaysJBhcKw VinMU9zKTycEqOASlyaNWflO1YuqrVRIodTJY7acYm7OUaHCXfHtCpiPaZu9 uahDhRe0sO2Yk2JSOoKNqBAnXayEufhtT5e9JRVwDQ3KmN+Jy/QbHaACZbVK BfO0h9eQkisV/JWu4jGr/Jqf+BVChUPjc+qYrUwNZr9GUGFW65QmZv+Ucwut 8VTYvjauhTm5v/VX2RUqHMsw1MFcoiDEdPMmFbYGROtinq2+zX20hAr/EV/r Y8bvUxXRb6BC+/FWBHPgjxqZjT1UsMm7ZIj5UaSlUv8EFZ6fEyJhpon0axQy mMGzTBcjzIQiX8PTQmZgEXTGGHN57/n9UnpmoLXX2BSzxoZc3+duZtDz7Q4Z s5bzQNrvUjMQktSlYtapEK/VZzKHiTLXPw5mfD7LqG0BDK+3/YkvpjjJN/pZ ggNXignm1OIaPnrtbhjw/PTnvOecfKv88Vbw1PTxHx9x+XTEZas16B548sfi T3M/PXxpDRn+VX+cKdWeq35sD/Sv1v3xluiVgErRvVAdUv/HtQeZmGRqUXs3 /LEjniMl7rANbB/766c7d0jkMu+Dy+WNf8yvaJFTf2sflIc0/TGotcWLUvZD 4+xf++nv9jsyux+qFZv/+KDvD4uwZFvoVfproxtxSjHKB+A271+zdEYdbug5 AKmf/ubXC5y5zXbODiLu/HVm3b7bijsPwo0Tfx3qv/O2+ceDcOHoX3OTpNO3 BR6Cxci/zt4kmMrEaw8RKevrC+7jAhX24JOxnt/92EDWzQEe3Vrfv1828Qej I1hnrp8/lPzpUZYjCP/31ywHe6cc9JzgYupfG7XLMrF3O8Fi0l8X7hh9GgTO cPTCXz89Vuk/nOoMUvF/nUWSlC8edob36+vxomd6TuJdgO/iX/cF8+oNxrlA w7pV2rMyTftdYG7dyZ5ZwzhVV6hb9/TKLYX5GFewWbey7E4fxfeu0JXw10eo lQ/sZdzAdd1CS8fTtx93A851P89TS1h85QYM6zb6djp0i7g7bF73K4VmN3Nv d8Cv2/H2WfzYY3fQXfeMhDZjFIsH6K/7p6TMmScHPEB73ZNSHCsTBR6gsu6W h2eCz6x4wLZ13yXRJnmpnv/Om3C4sUnvlieIrRsfZqDvRfME0XXvlwtwmSYd BvF1n3p351zYlcMgse6CcqOLAYOHQXLd/f+NpPjs8vrnTcGxvy53e/2L5wgg OgUc9/63X0e4Ay5Wxuefy5dtboe3/N97Mw5v3uHp+89N5j2LPHxH/nle2vP1 /aL/Gzn81lWBevSfHauu7f80+39rqZ8imSQf+9fvt6rnF0d1/P550JzVMEj/ /+7tM6evIf/3/wBnnidJ "]]}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->FormBox[ StyleBox["\"eP[t], R[t], X[t]\"", Bold, Large, RGBColor[0.6, 0.4, 0.2], StripOnInput -> False], TraditionalForm], AxesOrigin->{0, 0}, ImageSize->{700, 400}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}]], "Output", CellChangeTimes->{3.417828399580563*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztnAm4VdP7x3fn3KHbvbf5druaQ0JUGlB+HqQ0lyEqkaSSByn8zCEpY0mF BlOohEKhuYgGSkQ5zaU0Ks03t+H9v9+19ruHe/Y5Z534PZ7f//8/++ncs9+z 12etvfZa77TWqU23+27vcVe3+3p371b1qn7d7rm9d/d7qzbr049F4SKWFcq2 rCK1qlr4TJYlb+6rBN68kliC1upP2FvcaoP3EEThgG9b4V2JQuo8tVDVqime q2yIvIKQzf9+ZNnYt9fOX4f3r751q5jv+oDr5G+rAHwoDr6F+pQZdHux/lot A+oIx6kjJ/adt8W7erBWSuFyp3TnKYXvJAa85X8SHueG9U2lx+tvXS7kDr70 eC3TdxJ0dSBb30hGPKK/HW77lSwcIEt0u5555P9WlwieW0FTKHDgxYI3d/ql 0Nj0VdPK33sxaXFmr3qf9/d8rx9POr36ZSd1zYTxbWnWO11pzQu96HD7ZkQD B6J5o0bhpt58k2jSJKIPPoBs1iwrlWj+fKLPPiP6+WeiLVuIDh3S/I81v4lz 57PwVtLbKj0oInx8efAzevvACBqwty/ddrjzzKZHLvmlZsHphzJPZHC9UO1Z BSknwqur7smd1Hxpzf53zb4KZSvOf66/Fek30Ip06GVFqte3Ig2bW5GajaxI yeohK5JVmW88Uqm2Fen1kBWZNJunUySyS3eG+oR/xf9f9pdk2f98W5yBnRt7 zKep9xzayccQPl7g4yF6aFIH6rD2DDrjREjPSYy1nWWOl11Q70jDN6/e17HK 3PXLdJW/7LQir75vRZ4cbkXa3mJFsqtYkeJVrci4aRhk/3QX/K+T/ZcMqyyt 6ekgH9/wMZSGvn4r3Xowi7JYRUJxhX+oefTcvg/uHFDiuzXrrJDCsx4aO1kr rNNqWZGvfm4Q0JJrDGVXx7/O5C5KqfdMmsPHc/Tc4gvpQrT9j+InSoy9bt+N uV+vW6nRM5dakXI11QT4h5uszWMGLaWlH7ejdmjukfSTRWt/vHGeRsIqYI5O W8hfseQZm0/uKx6/nG0XR9CI3WWp7O5Sx0uf9+nGL63I54uVYYk063hK3Fxb G62m1VsrUIWNFQsql1m8drUVqVbPitRreirI8jZyPh/cpm/Py6+rLV7pM6zI z9sUcnByyDw9rH+qRbXy00+ml/x29Bh9158ssP4Cj77ngwF9H1x3v+Y9NfKU eKep95SFF9PFy87JP19Po1v6/QUUDabBMAI5C1s2syJXXPdXUIv54Nu6Zvjz Ta3IWRefOiqV/qQ/j6adTHv2tlmN4dRYkVU7dIcNSo5XQTdt6bn5tWc22nC2 7vyvVyVC2VEI9enjhpr8smnUlbpuKX+ojKZNnl9GgcqX/HbN2lajtoxvP2Lr W/0e2PnkyE57uy2qnV/vvdb7rx3TYV+XdZULqi4/+2itSc0PtP2uVn7tjRUK KuHzkvOO1N1T4nipRXWO1I9U+/P0XaWPl/n6giMNIcOg3px3rMLmvIIKoVmN Dl9qheWrZefyANCyjO1lj5VbW7mgGs4W1cmvJzicb809lreBp5uVost7v7ea atncCw83hgw622qtZWCiOeqspZahaStP/7OGOuuqZbOupCuVBo3qvzC1auUG OhXtznuCD36W5RZWrWBFRn9YUluGsovWRu58bOfgzy891CQ/7WS69n5LY2ie LEJFduVQzvrqVH1/cSq+LY/yltajetAjB7IpG5+X16E6VJqPi/g4iw++nhrz AVkDahCiylQ5xA29klsl8gvoAkvLMqg8H+wP4UwxhIVzroeqUTVuuy7v+d5q assu5wOy2lSbB6KWgYm24KylLUO7zuEDZ7fYMrvzVP+U83dg9+7RHXg/H9w5 NwzpygPvmdHachcrvWTt6vkNjjRCb+HrNWfSmXQDHzxYOeiZR1v4KOADr2f8 tfTvr2s5ftytZQEfjOk+8I7SVuT+wdovSW04adP09ZUKqhwPU3hTFapCs2m2 nkBD/MhXXtHI7dtdJNeO5/n4nc/nWJEeD2TpJ3/Je5un4jH+Wokq0UI+8HrJ T5s8WdO+ZzVaScswrF+/9qNcK3JdTytTo9q8uvVdtAwjhbbzgdcwP2rJEo3i 2E1QS87Pv2BG4yXcqCYdrGIalfbT6q2YsMdSKIV+5AOvl/2ozZs1auxYB0VX 09UramzkQV2/mY0KP3Hn7+qB0VSaqvtquJ/z55+a8+STLqc39d5ZZn+GFalx EceLipP7zbqVhzIpc3wn6qQ5I6IVX+/e5BksYXqcHj9Z5KQVXplXUzjP37rn DnVb62hdTM7VV3s5KTSSD76H3G+qV4BxTdcoqDxMyfc6U2eNGhmNatDAj/qA D0bVmtowz4p8scRG3fXozkGql5bT8pioChX8qLl8cJnL325Zzoq894WN+q4+ 1V/Gk1tdFAuVkkK+8Y5nzKhrX76xrBWZMCNNo+p9tGmWahXHThr1SjQK8/O3 31zUb3ywtMeAO0sjdrJR8xoebqxQ6PZi6lIOzk6eJDpxgmjvXqLffyf66iui 5ctDROvXI2mALMOyZfrfp58STZxItHSplr/zDtE33xBNm0Y0fjzRokVaNneu zlZMmRLGxajl88/1JSiKf/o8pL4OayrofJYjMlB1bRinWubW6spQmy1rLbJv v9WyGTOQ9tSyPXvIfomOK9yFXMrpwiN8sPSBex/jqfToEN2F2b/UpJpqbjuv 3bt1H9xxB1G3bkR33kl0ww1E//oX0VlnEWVnW6que/GGZrz3XqJmQNfoWZgN H/DZ20aW1ZFv/5esyIARVmTEeOW/RVp2yVnYu8cJ2KeBb51JVKsWUYkSSFLq qspxBTVrEl1xBbJGnTvjQTRuTPTII6yAWQM//TRRp05Ejz6qE038uLt0IXro IaL339dfP/igfpSjRhH17Uv01ltEzz5LdP/9uoMhY02rkAMGhHExannhBX0J iuKfPg+pr8OaCjqf5YgMVF0bHq2WubW6MtRmy1qLbMIELRs6FI9by1g3BvWz 6mZbx8HBGHX99BrKjUpV7xmdX+iRqybJd1245665hujuu9kavKSH7Lx5RPv3 63k4LPrppaWp3rP5aavYUZnUfE8LTGf99J4ba0WmfBlS8Vz4tRv2dNkDk32C Tmjkq9HIqlWJbr7ZUcsL2Wea0fjQZdoY6nmNAflpG2rjapsATqNGRE2aOJwv mlNzWB2JisGpOH/dD+rWh9EwzXktmtOhgxpTjpnoSB3ZRzvDy7lu2G+vKw6H iDE599xDVLy4y+lJPbflHMv1coZ23dvrcDEqRsfoWABHp+ife47UpDl4kMTi sHtyKONEMS/qywZHLv6mETVyuygA9e67GrV6tYN6ig++k/DKyHZJNsEuo1VD +lJfjRoVjYJOAmrOHAfFnQpUqW/XrhFU3ckb56iOep/ej4ni1igUt05Qb/DB xarMXf+9oLoN2q7wtIbWxEQdOqRR3GeC+pAPLqYibBv1cpe9t8EdUsMyU11X CoaKdu4k+vhjontZl9WtS9SzJ5QK0emna9Vz5ZWk7OMZZxBdfjlR6dJEtWtr NZiTg9r4CjY8MMf4DqoIZfAX5xdcoM9Rhs9DgFhFHYzgq1XTn1ENn9dTVPaJ L9IU/svKwi/jGh0ZigODswdtmbSIdbMd1Pv6DS8eqxiz0m8z+eB+g+so/fbl pXTp1/DscUWGLq6sar9+pDRDkSIURv9bWVS2rNbMJUoQVamSsOv+q3sO93nd dU7PLeKD+6DF6C0TpOeQ56FefOCKdLv/Cgq0MQUF/9BVvXppFcy+DnpW858N rpaVHZSeVIvFDq6204vbXrNzgeFqs9cvVXPmFXrFrjaVjh4lqlhRV9muHdGK FeQLLwpXw7oZHSPV7OaDkX0e3jlQqmn7ytZxqprFtNjOhqcor6t9e11NG6W5 nZCjcA0PPECUnu7UcJLLcoQ14I7f75UaHrln90Mq6jpAB+wawvTii5o+ZAgF 2Ct3iWzYMH3drl3i/KTtyz5R/KWb9/aUFOHElgfab+D4U9Br1hAVLar6RzNe 9qBlkRzMH35QX9tpi7TNeQUV37hmXyfhruQ49JO21Fa48EWys0mFbFFcT5Ph Z+IjW2Rp8ooaR8/+qOmBVsCmr1i9VYUXj9AjqTJfZxKFQsrD8EVAhdHwGvDx 9dcd9Ff1j1w056LD/wK6zpSNyt+niTRR0JijPLVp69b4aA6y1HUIsmw02+w2 Oo0W2XXTs9tUgEMraWWKjT5yRHdI06YUECf5lznh7PH8cNDtqb0Y1ME999xd kEqpMKSChleG0nPnJkZD2fMgtdGpVJfqYrgBDV8Ej9GS3ujYkah8eRVSJOS2 YqeuXj2Xew8f3AOwsAiiN+iUh+bCdhUrpvzsgIjKz+3Rgyg31+WO4YO5jcdv nqZ6uA/1cbjw6lB01qwgbpqP+8QTehCxaqpgo+3U77Cb9vZQ6AW0wEH/+99q 4uIpJkTzeFPN2LTJQSN9wMgDmSeylDnOp3wHDW8OEQZRYvT06RrNUYqtQ5BT BxpOo4PMz9dWilsdEGf6kT/9pJE8iGzkQJ5rSK3QNJrmIBcs0JdxZJcQCUNp qytxCXfwYb9kj4CKEjCJdu9OjMQLQ4bt7+l2cfjzmK9OvyUoXqOGiuak+Jkc ZMEBLly8Kf4oxZcSA3TFFUSXXKIDRwaxt6pG0oABfo+9qf7el0GOhbzpJmV5 BPn117oDp03zI5sFIFVvptqKOs1OAuCLqvbXcO1w/dKlfthVAbAYe1Fo+HDN YLfRqmZz2Q9Qjw8Jp6j7VuvAqTFoU6Zo2rJlLg1xNp6Q8zh8cU80A1kBGY/C OPdcxwAbMbZt04xXX3V7C85xKjf84YeDgotoBtItuJ6DZochhmf06CBGUI+H qVIlnXPAWRVbhgwJLp0925xz8cXaL/RysOMEl65fb8659lrt7Xk5jz5KKtPF OtOYY8eGPg5Ge9WqnudkwEHWAeL9+10O3MLGjZPjIHEF8S+/uByMu+uvT46D 1JrYmsq2DGMHM5C9vIC4LZizbp3mvPGGy2Hvwz9+DDjwdSEeONDlfPedln3y SWKOKGW4HrffrmWivJG9k5yaKadOHaK2bf0cMYxIdUdxwlqD6Stbt9aBkLf0 44/zRWHP6DNoBYKMcuX8nFtuITXbiMw5rNsdXSecFi2I6tdPjsNPWfXAhg0u B2FXixbJcWbM0By2yg6nOluPrl2T46xcqTkTJ7qczEwd5ibD2bdPczhQcRYL YBftDIUuMDo2R7yMrCyd/MNZBVvGM1VxJkww58AvEOMunChtasCxA08fZ/Jk zcHykSkHzwW5AS9n7FjN2bLFnMNWSVkbtvEOB9lfXOq4pgackSN1GURnwrnv PqKMDH2dKWfqVFczCAdWzDe/DDjLl2vORx+5HETsogNMOVj0gHjoUJfjtYhR nLDrp4SVg4mEGM5Os2W212jUilRPGbEnwoEWkuU0Uw5ajdZ7OXZaOimO94nk 2TKEo7iUR48uMCYx57HHtAY+dszl8AhyfChTzpgxusyvv7ocmeVsn405X3yh y7C77HCWLNEyrMiacrxaUDiiYRctMuewb6LKPP+8y8EiC2Rr1ybmSO4E6TGs VOCsvC2TFJCTKjPgIJGLKMnLweKOfakxp3lz19IJh2N9ZRGT4SASyc31c1q2 1OnAZDheaywc5CrEXzXlyLNhH8zhII8ha8ymHLYoisMWxuFwgKgCxWQ4sjww bpzLgR/Vrl0MjsJIaQT9KD1okFvaG1UkakW6XQb5bNFUubbMqxlNOcg0tW6t ZeVsGWsO1cann7Y5YxNz4EWiF7wc8Tdeesmcg1VdpLe9HInUxowx54i9PXzY 5axaVUh7GXBkiQqRiHDEY3cCfwOONxIRjvg6GJGmHPZJnUhEOFGevwEHuVHk Q554wuVgUReXsqZNyClql8ljFXrbbVqWY8vEZ4LlMOVgNl91lZ8j0eSBA+Yc RMTnnOPnSERMZM7xRsTCweJIyZLJccQi/PGHy0F/Va4czYmd6wlmS0b5p59c NpYHffk2m63yPSme6C2QuHAhOXZZiMjVnH9+DKLLwV/t4aV69Z1EyaNGucRm zVRqLoqoEmchhxOjjYjf8TT5qTpE0Jo2PfUezbA5eCoSnZW1ZVjPEw3pZQc9 deEg39GkiZ8Du4enkwwHPi1SoF4O2ti9e3Ic7AwpWtTPKVVK76FJhiNLV0gG CwdWB9tIkuF4c4vCwfmTTybH8eZOytgy1hZ+n/n1xJwdO3SZ4cNdDhbfIcO2 xkScYnYZLD5g9RBnpW3Zxo2a8/bb5hws8MtYEc6KFZrzwQfmnMsuc1cthCNz HGt5phw78+3jiD+F7IYpRyJjrFUJh5+d4nB0aczhOEaV2bbN5WCbF2Tsnxlz JDJevNjlYAsUZE7+y8tRGCn944/6yg8/dEtLzA59b9oK7JOTeFg4gwdr2cGD iTmZdhnkhCQvU8qWwQv3RRIGHGgqycsIBzM8LS05DiJjbGvwcmBXfZGEAefW W8nZBioc+L7lyyfHkdwkImPhYDeBzxYbcMS/2bTJ5UBTI5JLhiPRKyJj4dgr tElxJDKGXysc7Gnx2VgDjjcXKBzk1Xx5zzicLLsMfKS77tKykrbsvPP09otk ON4ywvFqRlMOoleJjIWDHSe9eiXH8eaphePNAphyBg7U/Xz0qMuJsqJRWkdK e3MVUhrnyPsk0wrZMYf9CCVsGbYAQcbaRxd4IzEHe1MkHhaORH7swRtzJDLG 2ohwJFPo2OA4nGy7jHdtpLgti1rrM+Agq9mqlZ+zfr3mYPOVKQd5AfGfhSO2 HLksUw6iD4mMhfP99+SPRA04WNAXyyIc2Tcwc6Y5R9boEC0Kh6Nbv09gwJFl dNaGDkciWviHphxvlkA42M0OmbOnzICD7AfiC55PDkeyAND4iThSBisJ8Ju8 bGylxqXOziUDDnw40eTCwe5oXMrzzJiDDJNYUeGIl8Fzz5jz1FM6rwftJRzo Hp+X4eUojJTGFnZcGYm4paH30tNjlI7RChmx06e7HKyH+XwLAw7+HweIX3vN 5cC3kJlmysEOA/hH2O4mHNgLn28RhyMaDztFkSUlj2aEvUuWg2hYfC8vx+ej GHCws0v8LOFAo8E2J8PBjw/E5gkH2rVhw+Q43vEjHNyrz9cx4HjHj3DAwGxL huMdP8LBapBYDlOOd/x4/R9f5iEORzwB7/jJ9HB8PpMBxzt+hAONlizHO36E g7Hs870MODJ+sH4qnDJlCq3W2ZyYG7BisCVyXLXKZUOP+HLpNjt+1ku0AX6f JDG2EKHhfB6el+jZiRXcRmzAFk9IiDjv3z9hG9VZUEZN2NiLhtZhI6LEpPLL BccTfNPTtzFzdBI1IAMpa6uSY4ny5Wxi0FMXDjLCoiGEI3YeGXBTDkZbTo6f 442aTDliL7l3HA5+pwfZlCnmHMm0//yzyxGfx/EJDTiyLxv+n3BGjNCykSPN ObI+zGUdjmSXHZ8wDkeyFtgZgggfZ5Kvlfv68UdzDqI1WQ0Qjvibji9nwIG2 ql7dz5HZ7vhyBhysxyJvhcyBcMSXc/JEBhzJHGzc6HIkY+T4cgacOXN0mXnz XI6MTey9M+VwHzg+s3AGDSK/L+flKIyUlp10sFlSGhrOt+IcpxWSaUW+Ces2 OJP1KWzl9vlyBhzE9LI3RjhRvpwBByvp4o8KJ2rNxoAjMxH7d4SDESkZfVOO dweFcPBjbZ8PZsBZu1ZzkIkWDvwUsfOmHGQJkEdDhKQ4IUky01uxS0ueH3tK b7xRy2SVCC3weUxxWiEcr4ciHPSI7KUw5WANRFb1hAOd4fN0DDgvv6x7d8cO l3PaaYU8FAMOfjgDMVaFvXtNJLNryvn1V83Bnh/h4Kn59iXF4cjaGn4O06eP lskOrqg8UZznLhyvThdO1A4BAw7GjuzSE47cq5Pf8XIURkrDj4R+ggWX0rKr ycnqGLTiww91GewvFE7UvgADDv4vQalbOPjBnYwAUw7W8yVrUXjfn/Obgjgc 2QPg/cGF7BsVi7lmjTkHMaLEmsIRi4kZYsqRdQdYXuFE7aU04IwbR46PH/aw fXkHA47sgcQqnHf/suyYMuVgZx9mI/4fFuHAY/btjorDkT0/8LRF48kuc++O RFMOnjliRy8HGVDZHW7KgfeA+bVnj8uBXcYaTjIcyU4jghJOVASVkJOO/T9q XthxkrOqO2yYzXg7NkP+tzHsa2reXAtlHw9scuHiqrQUQgoaahtOEhtcVQgG 2LBOrJRCjMyjrFthjhsVT1XBDR4DnHE8xrw8+3bHxS6rN0OmqM0LMKRweO0f gJgUE9/W9idNi6F/YNqw7RCp1wTF1Pu8/xvfk/My/g++EwvUL+tSrFE962U4 n2wNhE/4l5P4knIBl6haBntqCUGa7XwKOZ/Kxv02J+DbROyw86lM3G+Davay VUCc6rRHfUpzrlQJmrDzyW132Lku1akvqNviA1L9lacbArztL+l8HwqoIN2R pTgytwL1NxyrWNhfLHRqqDQ/KsX/dAxQ3pstEdDCoFtMC2iIWyLs/2RattB1 KXHL/rVWZyXd1kLTqtCA+U+20K0vfo+oTGnaKbSraOJnEdQu2ymWeZSwXlVX il9m3m8h/6f0xE8sy7nOoF0Gd+5tV0n/aHBVYlBb/+5nnJJcW0s5Zdwr3bYW 0oZhZxC5DYk/WYJKZMfCp8Ut5m11XuK2uo/VdGIblCh0XVCJJJtpZwqckkR2 PGnQYNOyhUaNQdngmyg0cgu5IzHHa6HrMp1vXeMaDrjO2wblZitNVMX5pDxl 1/ynOmXs336R84rlmllF/gdYiPeP\ \>"]] }, Open ]], Cell[CellGroupData[{ Cell["", "Text", CellGroupingRules->{GroupTogetherGrouping, 10000.}, CellChangeTimes->{{3.417839559675331*^9, 3.417839560635457*^9}, 3