(* 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[ 2013717, 33529] NotebookOptionsPosition[ 2010549, 33423] NotebookOutlinePosition[ 2011156, 33445] CellTagsIndexPosition[ 2011113, 33442] WindowFrame->Normal ContainsDynamic->False*) (* Beginning of Notebook Content *) Notebook[{ Cell[BoxData[{ RowBox[{ RowBox[{"xRange", "=", RowBox[{"{", RowBox[{"x", ",", "0", ",", "1000"}], "}"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"tRange", "=", RowBox[{"{", RowBox[{"t", ",", "0", ",", "200"}], "}"}]}], ";"}]}], "Input", CellChangeTimes->{{3.405075396121993*^9, 3.405075396284467*^9}, { 3.40513870534182*^9, 3.40513871140376*^9}, {3.406292480635222*^9, 3.406292695602671*^9}, {3.40629315163052*^9, 3.406293154001243*^9}, { 3.406293301763631*^9, 3.406293350521651*^9}, {3.406293451589776*^9, 3.406293453636269*^9}, {3.40629351459724*^9, 3.406293516723909*^9}, { 3.406294045198205*^9, 3.406294049541683*^9}, {3.406303746573281*^9, 3.406303747566328*^9}, {3.406304564844494*^9, 3.406304659903086*^9}, { 3.40630473543684*^9, 3.406304735875066*^9}, 3.406361844790127*^9}], Cell[CellGroupData[{ Cell["Vector Field for Gating Variable, w", "Section", CellChangeTimes->{{3.406361911712035*^9, 3.406361931587932*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{"Q2", "=", RowBox[{"d2", "*", RowBox[{ RowBox[{"(", RowBox[{"IP3", "+", "d1"}], ")"}], "/", RowBox[{"(", RowBox[{"IP3", "+", "d3"}], ")"}]}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"wInf", "[", "c_", "]"}], ":=", " ", RowBox[{"Q2", "/", RowBox[{"(", RowBox[{"Q2", "+", "c"}], ")"}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Tau", "[", "c_", "]"}], ":=", " ", RowBox[{"1", "/", RowBox[{"(", RowBox[{"a2", "*", RowBox[{"(", RowBox[{"Q2", "+", "c"}], ")"}]}], ")"}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"g", "[", RowBox[{"c_", ",", "w_"}], "]"}], ":=", " ", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"wInf", "[", "c", "]"}], "-", "w"}], ")"}], "/", RowBox[{"Tau", "[", "c", "]"}]}]}], " ", ";"}]}], "Input", CellChangeTimes->{{3.405075396121993*^9, 3.405075396284467*^9}, { 3.40513870534182*^9, 3.40513871140376*^9}, {3.406292480635222*^9, 3.406292695602671*^9}, {3.40629315163052*^9, 3.406293154001243*^9}, { 3.406293301763631*^9, 3.406293350521651*^9}, {3.406293451589776*^9, 3.406293453636269*^9}, {3.40629351459724*^9, 3.406293516723909*^9}, { 3.406294045198205*^9, 3.406294049541683*^9}, {3.406303746573281*^9, 3.406303747566328*^9}, {3.406304564844494*^9, 3.406304659903086*^9}, { 3.40630473543684*^9, 3.406304735875066*^9}, 3.406361844790127*^9, { 3.406361883470083*^9, 3.406361896707515*^9}, {3.40636425172565*^9, 3.406364278311951*^9}, 3.406364322022406*^9, 3.406368866548649*^9}] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Vector Field for cytosol Calcium, ", Cell[BoxData[ FormBox[ SubscriptBox[ RowBox[{"[", SuperscriptBox["Ca", RowBox[{"2", "+"}]], "]"}], "i"], TraditionalForm]]] }], "Section", CellChangeTimes->{{3.406361911712035*^9, 3.406361966470074*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"mInf", "[", "c_", "]"}], ":=", " ", RowBox[{"(", RowBox[{ RowBox[{"IP3", "/", RowBox[{"(", RowBox[{"IP3", "+", "d1"}], ")"}]}], "*", RowBox[{"c", "/", RowBox[{"(", RowBox[{"c", "+", "d5"}], ")"}]}]}], ")"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"VIP3R", "[", RowBox[{"c_", ",", "w_"}], "]"}], ":=", " ", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"mInf", "[", "c", "]"}], "*", "w"}], ")"}], "^", "3"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"c_", ",", "w_"}], "]"}], ":=", RowBox[{ RowBox[{ RowBox[{"(", " ", RowBox[{"fiVLeak", "+", RowBox[{"fiVIP3R", "*", RowBox[{"VIP3R", "[", RowBox[{"c", ",", "w"}], "]"}]}]}], ")"}], "*", RowBox[{"(", RowBox[{"cER", "-", "c"}], ")"}]}], "-", RowBox[{"fiVSERCA", "*", RowBox[{ RowBox[{"c", "^", "2"}], "/", RowBox[{"(", RowBox[{ RowBox[{"c", "^", "2"}], "+", RowBox[{"KSerca", "^", "2"}]}], ")"}]}]}]}]}], ";"}]}], "Input", CellChangeTimes->{{3.405075396121993*^9, 3.405075396284467*^9}, { 3.40513870534182*^9, 3.40513871140376*^9}, {3.406292480635222*^9, 3.406292695602671*^9}, {3.40629315163052*^9, 3.406293154001243*^9}, { 3.406293301763631*^9, 3.406293350521651*^9}, {3.406293451589776*^9, 3.406293453636269*^9}, {3.40629351459724*^9, 3.406293516723909*^9}, { 3.406294045198205*^9, 3.406294049541683*^9}, {3.406303746573281*^9, 3.406303747566328*^9}, {3.406304564844494*^9, 3.406304659903086*^9}, { 3.40630473543684*^9, 3.406304735875066*^9}, 3.406361844790127*^9, { 3.406361883470083*^9, 3.406361893699224*^9}}] }, Open ]], Cell[CellGroupData[{ Cell["Parameter Values for Travelling Front", "Section", CellChangeTimes->{{3.406361911712035*^9, 3.406361989219633*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"ParamRules", "=", RowBox[{"{", RowBox[{ RowBox[{"fiVLeak", "\[Rule]", " ", "0.004"}], ",", " ", RowBox[{"fiVIP3R", "\[Rule]", " ", "20"}], ",", RowBox[{"fiVSERCA", "\[Rule]", " ", "1.2"}], ",", " ", RowBox[{"cER", "\[Rule]", " ", "1"}], ",", " ", RowBox[{"KSerca", "\[Rule]", " ", "0.15"}], ",", " ", RowBox[{"IP3", "\[Rule]", " ", "0.7"}], ",", " ", RowBox[{"a2", "\[Rule]", " ", "0.2"}], ",", " ", RowBox[{"d1", "\[Rule]", " ", "0.1"}], ",", " ", StyleBox[ RowBox[{"d2", "\[Rule]", " ", "2"}], FontColor->RGBColor[1, 0, 1]], ",", " ", RowBox[{"d3", "\[Rule]", " ", "0.2"}], ",", " ", StyleBox[ RowBox[{"d5", "\[Rule]", " ", "0.2"}], FontColor->RGBColor[1, 0, 1]]}], "}"}]}], ";"}]], "Input", CellChangeTimes->{{3.406293082091298*^9, 3.406293085577598*^9}, { 3.406293158914969*^9, 3.40629328813798*^9}, {3.406293984699964*^9, 3.40629398480679*^9}, {3.406294494794796*^9, 3.406294494904505*^9}, { 3.40630370539178*^9, 3.406303705516459*^9}, {3.406304741981075*^9, 3.406304745544726*^9}, {3.406304835270276*^9, 3.406304836168222*^9}, { 3.406309560205159*^9, 3.406309560610274*^9}, {3.406310863805341*^9, 3.40631086422119*^9}, {3.406363512455491*^9, 3.406363512622975*^9}, { 3.406363666537862*^9, 3.406363669609024*^9}, 3.406364282125201*^9, { 3.406364449034795*^9, 3.40636446685048*^9}, {3.406364610043831*^9, 3.406364610188146*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[TextData[Cell[BoxData[ FormBox[ RowBox[{ SubscriptBox[ RowBox[{"[", "Ca", "]"}], "i"], "-", "nullcline"}], TraditionalForm]]]], "Section", CellChangeTimes->{{3.406361911712035*^9, 3.406361989219633*^9}, { 3.406362033712138*^9, 3.406362051380162*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CNullCline", "=", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"f", "[", RowBox[{"c", ",", "w"}], "]"}], "/.", "ParamRules"}], ")"}], "\[Equal]", "0"}], ",", " ", RowBox[{"{", RowBox[{"c", ",", "0", ",", "1"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"w", ",", "0", ",", "1.2"}], "}"}], " ", ",", " ", RowBox[{"ContourStyle", "\[Rule]", " ", RowBox[{"{", RowBox[{"Thick", ",", " ", "Red"}], "}"}]}], ",", " ", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"Style", "[", " ", RowBox[{ "\"\<[\!\(\*SuperscriptBox[\(Ca\), \(\(2\)\(+\)\)]\)\!\(\*SubscriptBox[\ \(]\), \(i\)]\)-nullcline\>\"", ",", "Large"}], "]"}]}], ",", " ", RowBox[{"FrameLabel", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"Style", "[", RowBox[{ "\"\<[\!\(\*SuperscriptBox[\(Ca\), \ \(\(2\)\(+\)\)]\)\!\(\*SubscriptBox[\(]\), \(i\)]\)\>\"", ",", "Large"}], "]"}], ",", RowBox[{"Style", "[", " ", RowBox[{"\"\\"", ",", "Large"}], "]"}]}], "}"}]}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"500", ",", "500"}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.406304943268762*^9, 3.406305064656923*^9}, { 3.406305167471319*^9, 3.40630516938322*^9}, {3.406305248446835*^9, 3.40630525749837*^9}, {3.4063053851533*^9, 3.406305462779263*^9}, { 3.406305535208642*^9, 3.406305558046408*^9}, {3.406305945291151*^9, 3.406305961931927*^9}}], Cell[BoxData[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJxFWAk41F8XpkULFVKoKFt7pJ3kTcqu1VJUpEWFipJEycxYQ1kSRSkmW0Ih 2WVNyNZCK1lmYxZ8CvGNaZr/feZ5PK87v7lnee97zvkp2J3ff3KSkJBQsLCQ 0MRf2iXnyDR5bwjxVylUdpz39kbgfruptQPbkPO/FVcn8Ozl479yhX2wu6qS h+fbsOfZsH2g5nDBcwIPxC9fO7XdF/RXoVOcubiLvmggyP0OfkbUT3MWfP8O HCRVZk3gNbFx69TPREJShbDRlYsv+zl6L9aIA+3U2rgcrj17p7lyP3FwNLlj MLE/GFEuy8yIg322+bFrXKyk7Jrnnk3Gx62sSWXy/36fjLHiBcSJ/S/zTex3 rnkC/6VXvgRy8adYg5vv1VOhMRx47iP3+59znLifVKQGLZa4yd2fNla5MCo5 FYlbL4484GJb5elpspYZ8NG61DUosCcDPY0r9R9y94m2vpSBsAyMLBuXzOfi nBfelYbzXiDogPXZJYu9sZ63XuDUe5b7xP5V8sXbi/a9gFnU/Cs/uLg1ctMu j+ZsrNHYJXRo8T/7s7F+e2rKIy5+maQcQCPkCrCGk+bpVV9yYeLzwGl08T/7 82GwlGXqsMQbtUxSsO14oQCnv2/qO3GwCJp6R/exlvyzvwQN3RXXgxW84bRr ZS+7sFSApQevRRrQSnEGcu6DJ5359pdhmuFXdxklb+itCzy/1bNcgCfZ3mu1 SCpHVtPaFcvOOPPtr0Bwz6yGHU7OCOtkr02NqhRgG3WnkrOVNTijurTzlIsz 3/63SFWXcX9+xRm5W34VX5hXK8B2lWpHVyo0QPSQyaldN5z59jdgp8trl+0B ztDRm/Rq/Zv/8I4Bco3I9ya4L7jlWxH+z/5mnPjwpGPooTO2+LWSa/3+wxKi xvEVMe9x4WGuzWjaP/vfY+2eKdm/C7n2b7cI9df7IMDXko2uHbP6hHw5k2qZ Bmf8Dkz/FZj+CYoa26b7dDqDfG2bm9PUVgFeW/79cIv0Z0i+GmhyHHHGF56/ n/G16wFNeJ4LKjqbpQnl/+EPWRXe0u+/YtrXe8Pu6i4o7lhV1LHqGyylJNbO 2ecCs/pdmvXE/7CfxOkwCcMfcAgPoQpdcsE+Xnx+QMpOmBBxzwXxM9O80x79 h1myMeJuie0YSjivNb/CBTvkWnTkWtpByBKybOt3gZWPdla0cIcAL3pbXZIz 9SdEbbxNtZddxAZePH9C7kFZ/pg8AUcl9tuqBv6HJ/0oG3t98yc6VgaZp9hc xJqiCQd+IttQq61Ui4AyyaoNBpqdAhw6kLawmIs7Ds9WCI+9iKWGYcqGYZ3Y aN1efnwv9/c2DH2kUztR6i67ypeLz5UNz15H68TnJ+pDHu0XIT9hvk4Xsh7P rzQ6QsCMIM2OLdFdqDl44tZzLj62R0V3lIuptgF1XicIkObltwvy+rTx6w4E 5OdOS/My6Eaw6vdubUcCygdSxesMu7HDt2N71EUCxGlxs2lx3VCiUXaqeBCg bfTQr3ioG+FjstJmntzz7n3ZSv7dja0ee9x0SQRMnwj/3h6EPujaeDqIgJbM 4+ShJz14UqdfoxBCQEadd7JPcg881M/MH9VwhTBPbSnQo/244v6QgFHGFJll FhRMnn2L/v0RAbsMppw6f4iCM0IZGnKpBAzz+EbB+QX228OzCGjrX1FtMpWK xo6SOUtzCLjMuyBUsL7Pu9nwkgBbq+vPjs+g4nNE4JbqUgL6500EgAq3zT+1 ht8S4Bkq52ifRUUX3JVn1xNwgXchqdAnupvsaCAgtsx+9PgrKkTuFupM/kwA YyIcs2louSC2UKibgDWs9x6ux2mIKTa8HU4nQG5TmZTLGRpus8+e1V7vhs4J +hbRcLohpERkMhFWMxwUXCXpoJs8id00kwhFI9lFt2XpaFRt3F40n4ivvPtB h5FlXBBJiQj7i2nKJ0rpOPS6eM7QMu7znhWWnhV0rFjPUHu5mgiRm0syS97Q UebUl7Vdk4gPE3SQY6Dy04jQTAMilPVH3uECA4evDmo+NyViP+9+MBDlHTJS eoCIlLwW8WlXGTD123nspB0R9bUTiwGdd2U5okQi7sum+6c3MbD8c98PozAi vl2WOHpKvhfVvaNT3K4QYTRBV+VeVFlP3nn8HhG9X57O6VrZC9Uq17eSKUT0 9ZzJeuXaC614h9hpt4mospxwoBdTT+gS5V4QsUprwzYFIhf7XfmkXUbEQ5G9 R0TqevGZE9KwNZmInbz72Yvon2ZrLOuIECtQvH/icy8WF9R60b8SQd0s32Cs 3IeOeh2VbeVElPD0og/ZUbUb11KJyDv04XX6+j645evZbRnm+vdismuARx8S tqm3abYToZVE1Ewi9kEnIn5HrQgJeSUONpOD+qB7TLPQQIaEkQVtj4ua+mBa 94Z2VoiEXJ589WGG2BaNA0tJSF54fK1tZx9unbTk6G4hQc08Ooa2ggmVJuHd oookvl4w4XdZr4utT0JhUKlYlRYTFc7qyy2sSBCdYh4i5s0EZ//w6x47EjJ/ TRCciZr+mOI2BxKOsWu6t9xhwmXg4/TM6yQYpCQHKH1iIlZ60LbSiQRVnr4w cSev9rNeGAkn3l1uyOllItluFzmITMKs6wXb70qzQCgcfxwRRcJ7Hj9Y0LKQ EnHLJ+HF4VNCCkosKH7Z6rv8HQk6EqcU5+uyEJws/gpVJIRPpNeQhcxZB+Sy e0i4dX5tr9MeFpSyCIO1IyTYZBwoCD7HQr5jc6rpMImvvyxU6+nmmkv7YNvv mN+vPViYvzcquHaVDxIrdhn8iWbBnr1/5Mg6H76+sNB+omFFnpEPdlZjjkIS C1nC8xV9bXyg2P6k43gFCz3mh3+pXfDh85OFTTm3x/YTfLBacrNWQAsLBTse yNjf9cFXTyqphMXCEYNUudQsHwRNyMUvFiQKuubFF/lg1cC9vFEhNt5sqN3X 1+yDQOWgMYlFbERMXr3ClerD5zMbJRtGSLpCvvh4ofG35xo2ZohL1abP80Wz lQ3DQp8N8fpkXSMLX77esZFXqU2g6PtiYPmRFFErNlZvl9I4dMQXpHiftGAX Npxfyjh45fiiksd/Ng4uVEi3j/TFtfKB2hRfNmYFHWp6meoLzvdL5lmxbPzU 9wvLVPIDSXOCoGw0jO7ZXMLwRZG0cOXhF2yMk9o/Fgv7obTjd3R1NRvHZFh5 5Dg/fj1jw4yxx0nFxA/mw1Juyj/YePhkvmmkrR9GdrXmV/Vz9/tFFIfX+vP7 XQ5OR6W1iOX4wdPyoe3UWRx8qveuin3jB06w5Oln8hyENlOsb7T6g0e3VRy8 cbUe2r7aHwtc5d9N1uTgvOeiG37a/tCtoYZcMeRguaTigeq4APDkypIDkbch YiMZ/iA7Zsio2HMwyeWw/dlSf7zQI61WuMTBkYtpGmO3AsFzl8gBwyDLW0Q/ AKFfrDnnIzjY8+3u5w6zADyyrx199IADk+E7/tZZN8G7LukcOO2pUe5nB6Ai 2JXCKOXgeFm6CEYDoLFzSLy/mgM/28g1GWaB+Nt+cM9LLvQ4khOIUrq2WCKT A8fi/euK8gNhr+G3eWY/B80qDaqyKjdxiVdP+vl92k1s9dTNXzGvHwb3xzwK a28iw2tj+ZFF/RAK51SvWB6E66aWu4UX92NIwoR9OzmY33/1o/TjyGObW+EC 7B0o8yJZJAIZe9SyPq3sR5f9oo8jLRHIdZc3Dpjbj8tKAREirHDB+eb5bfes RyNhMXhW5Q+bAzfTVwurRO/iWszFSW4sDuwzk162Rd0V+Lfv9xWi/9QoDH6o 1577loPkAjV/u9QofFkAqzcFHKxUIC93k4wWxI+82Cww7Wg0Ai4fWZdM5sYz UzFsq+x9mIlfK9zmw8EH0+vav5bdF+SHFpN4GOvuQ7mo4E0ggcOPz31QYuJY o9c5qHj5rITMvM//Pzfeqif71c/HIO9dzYnowxzcGqL2VifFCPjRlxCj7z4p Fo7StHjVvVx8PWPh7vexMFZaE+G0mQM97+LcmORYAf90Cq4UHPN4CG0pK5aT DAdrMiw9fyY8hPubszO0pDggyWzbyzr4UMBvudUyl21vxsGzzJJswGSja19a xM2eOAyWWry1aWcjITXvfW99nOD+MOcUiMw7+AgdTWOSc9+ywZMFw8d48uh/ XltT2RjK5SwLNX+M9tGdbzK59zNF6sGuXRaPBff1BTmnROfoYzz1oTWeT2Tj 0Yi+6jX5eHz0YnZakthouhqutmJNvEAPmApOGbfq4/H0RKlVoRMb94UjZ+bK JIBu0Wz98Rgb30LTdMqRINCba1HbNxyUJONDa+zUfeDiQbNibT8yxs+IiJmp s2GQ0fSnJYUs0LO/vHiCPRZXq2dPZyPm27OT/WqJGNmUN9A2woJsks7vRO1E gV4ObNUvzvNPRMPHxDY1Dlc/L2nPstJNgqjcTHGTNhZMJZN27GtMEuixAe+c ZIzeycutK2fhx+St5Tvck5HpZeYyPY/7vPg6XWZHMnKXKrFfprNwYta+r8ZI Eei/XgJNXz45BeXjxgWB3Prwby7Njc+nZPizcOvoopfy/akQjjCeNP0qC91P DP8slH0qqDdmjMicbcVPkeMRP9vmNAt5rGgVC8M0cKLdbg5bseA5QL4m25km qGeX9pU8OpjwDOcGDsks1GLxeZKB9GeShukK3HqWskvllHSGoF6GkVbrMNdl wEjeqeO8LAvNb4QX5dZkQHO3tnG4EAsquQdUVi7JFNTjVpd5ZQa3M7H4z73o yVVMPn+e46ukbi8hkomnkTfMTO2e4/TPp7VFIUzoZb23lDz3XFD/jw7fU9+W 9BxTvUTHsjyZoCp9rBngztELX3hMd7Rggtt+eIhlvBD0FyscG602imUhKbXg 0fzFTPCOC8vC9BttD8WFmdBPpnoQ+7JQaD6oq0vtwwHH/sp7StmCfmZtrNuG 1a3ZSNCRzcjI6gOlvHvehis5CCmd7R4Yxu2HGnVUa3NzBP3S6ILFnxZV50Bz krfX6xt9fH7lQH71XNL8a33wtKiz2P7qJSRW3y5YbsrFWkzpS2a5gv7sL19e Yb+UY1TF1D6s0P5Vvy/zFcTcTEc1qL1Y4rTS1WJhnqD/+zfnO/puf94Z1Yun 7Y4ulaX5qNtckN3v34uAK8ajf6YWCPrLc7wHChHVTAhz3NAL40sKItY9hXA4 LBz3aVUvhEwHZ1RLFAn617/5L4HugbTY8Q8MpPasUtsoXgLviqUhyY0MjJC/ h99YXCLoj3nhVS7FK5d4hWdeDJR/ylNbtqkUbose3zHl9tONR6LVJAxKBf32 3/y/RlJ1QFXDGgZUdNISSSdf47RR/qwKFQYoOCRZSXot6N//+lsGqc7t8awf dEytJ4ZXxZThRs7JwXvNdH5+y7GR7PVTLYoOyqRZLUPfyqHuLymeS6KjUzXC bNGOCsE88b1vhpzvqkqcSfGwZW+h8/NViRSR3SmbpOi4NXe9+1xiFUR3kje5 sWgQSRZ6kO9TLZhfzm7eZ7u3uxqPbxsTr6fS+Pl7gw3mdFpNHA2cm8ZF66Vr EHV1XesxVxrf3xp8m0cVX+xIg/uw+2CzWQ2GxQYberjzkeQZifoZZ2tw+tTE ogneg1xvsNxjpUlD6eaFifo1b6HePth/ciUNY3vFUh4SagXz11//a+Ek4di4 QYyGX0yFS0dN6+AZPOIw0kfl578OG/dlzwz+QUVEwpScDU31qJIuz3vIned2 TclofPatHqffrzj8/iWVn/8GLNjS/Sc0lIpZ+91CZ35uEMyLI6qt5dZzGrEq ceyR9X4qP/+N6E9QDLHcTYWE9vO7ESaNMJg385aUPpXvfxNaA3rTneZSESzu yH5d1YQjXSujiCMUXH469rH2agtGKS2HHhdS+P60IK9Mb2nOKwo6nSKzCXEt mPbImDo3l4K5kUVPX/2vRTD/LpS0C3MP/YDY3uj0VUQKP58f0OosW3/9GgWF Y280/7f5I14L5X2ZeoWCZ9+OJ+x+/Aln9z+2sztG4eevFTuHOOeY3Pm6/W5j jGZWKxzM2lcf4mKTc+Uz+1raIPrb0OD7AQra+O9tPj5z/nWbi2vWLckcnvQF Z2d9+zZiTsH3Rc4qlau/gizDOJV5mAJHXvy/IjhdcsoyGwqi3fudqlW/4UoY +2ikPQVVrYVHTTK+Q+ySwttcLwrGxifWd1iqD7nq+FCw5ME50lv5H9CoW1kS GUiBR0Vzf3HzD4H/snWSdomy7Rj/Wt6WUPDPn3YM+loZixdTEH/4f/ZSG9tR f+3bXqsyCmwPnr25Y2YHNr7wuyfEjX8oL+AdqJ7a1vVElAqiZ/hu0ssOUK0e t/1ZT4XJVQ/WLWYHyM0O3xl6VL7/P2FlWrJuxUUqXim9MaO9/YkfL50ORsZS YVQXfX7crRMUsvTOeUwqlPjvcer3KM55PUwFm3pnY3psJ6z1Zmr1C9GQ8csh 3Si7U8BnmX69X7fsuyAvX61b7UTjx68L44Fe1ufv07DiheKe+cu6EW7KqJ3R Q8MX0X3Vd99348mlCKWcU3Rk89LTjXfbHvj0nKXj6mm9uq9fulFo0bv0jwMd PSEt6Q3fugV64K06RBoK7MGlLonzy4bpuAwjckB6j0B//uajB9bJ4qoNp7h6 V9HecESNgkt6yk2D4QyIGeakN3F59E8P92w7ccqghoJfJ29cVtHohT4vH1Qs 94xarRTfC/FQp4hP1lTEGLUcD+Hq+580qptjAFVQDy4XFBkt6KTiqc0WfUVy H27z8kPDKoPHkjo6TGjI3muecpwGE5EjEXQHJnq0FN/JXqQJ6uW0mYXmY29p 0NTQFhqfy0KR9pbxzE80TDr6PKlLngVhQ58KM1W6oF8IaUpzs9Knw/j27iDR IBZa+XFh9Dll/slm4bfJrsS+p3Q8eDBjUsIYC1dCUlfLVdMF/dT/ekUnL53B wAk119ttl9k4MHPVgytSDIQP2SnH+bOxbjjWgWTAEPSTB++bdybYMGC+v6Le i8OGIo8fDOhvHsyQ2MVBiQdZKTSNgSSL1BbDixxYuU3Km5XNEPTbUc2Kh26X M7h5S+xvesTBk1PnRN0GGZifb7Ajc4iDbEb7d1WJXsF88X8RFkWM "], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], TagBox[ TooltipBox[ LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 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, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198}], RowBox[{ RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"1.2`", " ", SuperscriptBox["c", "2"]}], RowBox[{ RowBox[{"0.0225`", "\[InvisibleSpace]"}], "+", SuperscriptBox["c", "2"]}]]}], "+", RowBox[{ RowBox[{"(", RowBox[{"1", "-", "c"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"0.004`", "\[InvisibleSpace]"}], "+", FractionBox[ RowBox[{"13.3984375`", " ", SuperscriptBox["c", "3"], " ", SuperscriptBox["w", "3"]}], SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"0.2`", "\[InvisibleSpace]"}], "+", "c"}], ")"}], "3"]]}], ")"}]}]}], "\[Equal]", "0"}]], Annotation[#, (-1.2) $CellContext`c^2/( 0.0225 + $CellContext`c^2) + (1 - $CellContext`c) (0.004 + 13.3984375 $CellContext`c^3 ( 0.2 + $CellContext`c)^(-3) $CellContext`w^3) == 0, "Tooltip"]& ], TagBox[ TooltipBox[ LineBox[{199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397}], RowBox[{ RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"1.2`", " ", SuperscriptBox["c", "2"]}], RowBox[{ RowBox[{"0.0225`", "\[InvisibleSpace]"}], "+", SuperscriptBox["c", "2"]}]]}], "+", RowBox[{ RowBox[{"(", RowBox[{"1", "-", "c"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"0.004`", "\[InvisibleSpace]"}], "+", FractionBox[ RowBox[{"13.3984375`", " ", SuperscriptBox["c", "3"], " ", SuperscriptBox["w", "3"]}], SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"0.2`", "\[InvisibleSpace]"}], "+", "c"}], ")"}], "3"]]}], ")"}]}]}], "\[Equal]", "0"}]], Annotation[#, (-1.2) $CellContext`c^2/( 0.0225 + $CellContext`c^2) + (1 - $CellContext`c) (0.004 + 13.3984375 $CellContext`c^3 ( 0.2 + $CellContext`c)^(-3) $CellContext`w^3) == 0, "Tooltip"]& ]}}], AspectRatio->1, Frame->True, FrameLabel->{ FormBox[ StyleBox[ "\"[\\!\\(\\*SuperscriptBox[\\(Ca\\), \ \\(\\(2\\)\\(+\\)\\)]\\)\\!\\(\\*SubscriptBox[\\(]\\), \\(i\\)]\\)\"", Large, StripOnInput -> False], TraditionalForm], FormBox[ StyleBox["\"w\"", Large, StripOnInput -> False], TraditionalForm]}, ImageSize->{500, 500}, PlotLabel->FormBox[ StyleBox[ "\"[\\!\\(\\*SuperscriptBox[\\(Ca\\), \ \\(\\(2\\)\\(+\\)\\)]\\)\\!\\(\\*SubscriptBox[\\(]\\), \ \\(i\\)]\\)-nullcline\"", Large, StripOnInput -> False], TraditionalForm], PlotRange->{{0, 1}, {0, 1.2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.406368953129779*^9, 3.406373275675406*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXQm8zdX2P91z7oAbSiFjRBmSyiuVqZRuSEJIXmQMDQqZUpHSQJpo1kCU eirNT564elH6PxmKvJ6oZColczn799/ftfb6nX2Oc8/w+516t5ff53Mv97d/ e62119p7rbXX3nvtdr2GDeh3Xa9hA/v0Or5gSK8bBgzsM/T4CwcP0a+CRwQC R+zGz/EB/N8JBOQXPXvwy/yRyv/PpP9nqzvvvNPJyclxbrzxRvX9998r/QTm 8Xc/4Z8sp2zZsoGQU65cOad69erO8ccfrwoLC8+gT3LUnDlz8IqKjjrqKHzs 1KxZM8TQnaFDhzpHHHGE+vzzz9XYsWPVwYMHo6BrwLoYBKh///vfQH4OvQ6q Tz75hIqOOeaYgIGmXnnlFYI2bdo09emnn6qlS5dGQwtKFfqriQGlnxhQQTTV ycrKcnr37h2Ynx6IbPPdaaed5px44on013tFg8il3/kAof71r385o0aNcpo3 b+5UqlTJOfbYY+m70qVLOw0aNHCuuuoqNWPGDPXzzz9nmWrhcFg9+OCDYKoT DAadevXqOf369VPLly93hg8fTrLLy8sDSDV58uRKRRIcgoiJfd999x3KE3CO a+QSzdu2bXM6dOhA5ZUrV1ZTp05VmzdvDmRRV8lTP/74o3rqqaecihUr0je6 B6iffiKoasqUKVl4GQipmTNnUls0ctDKr4NO7dq11f79+wlWAtrVa6+9RrS/ /PLLKdGeo3744QdiFsoaN24snZs7QElq2oYNG9AkAqy7H40LTRBVadq0KT7J MvilO+KnZ8+eVRKQCsToWjfccENKpIac7t2703s9gNSmTZvy6HWe2+aPPvqI SIP48VmfPn1s0g4cOOCSNmDAgESk6eHnnHDCCc5f/vKXJKTJkFu5cqVjFI26 4447WOaGPi1Op27duurtt98m+tCjAaNNmzY2fUJIAvoEmx7UTseOHZ1atWo5 ubm5aufOnYkGuGiZkSNHukR+++23FpElCM1tt92GYUVd8rHHHiMYWkJq+vTp aAR3ZemRmkTHPHF7ZK55t3fvXvXLL7/QX39PRmPQOfvss+m9ZligtDW8MI4H Dx5Mw+ess85Ss2fPVr/++msgXXL0MFV79uxJlRyoc7zX3A6UNdzHo1uk3nnn HadTp05Ow4YN0yWDNJqWf6pkSJfWGi1gStSyZcuS9RfB1qxZM+fSSy9NFVt2 dja979u3r5FBCH3DKVWqlDNo0CC702KkJCFicXKERrlAf7oINVfp3ZFHHql2 7NghCDdu3OgiHD16tEeEYD3en3TSSQZhSbV48WJX3FqsMC5QuVAj9E5zBYbJ E8Zs9fDDD7tj7+uvv6axl28w49m6dasaN24cVLBTvnx5NJtgQEksWrQowvMg mQaggFOTTb+DsIwYDoYA/m79+vXkZ+CvEt6o1owndwXq9fbbbyeqK1qgGjVq 5JQpU0Z/X6dOHQ0Ddl73VbVq1SrXhfBBhuhjUUYaFZiXZ6BAOvLpkeZTPHPn ziWDuW/fPiEC9lC7Q975ww5YKBSCJoI2ZMg5pN2vvfZaKtauDmw+oOQYgJpr VIS/yhj0/fv3d66//voIMVmkXqkKqHJ/tAMJyYbwh9bRELz1UFvhKyxYsCAu 0SHqHGVJevPmzTuknnZRSLq6v8Enwtii96LgoGG045flEBTHtaLt27d3br75 ZnxLEgqS70udUFybQND4w/hW8Go7EjL91YiNgC5iktlEsAOoDZp68sknnc6d O1OfqlChgjsqqlat6rRs2RKjH55tWSMHPOgQ3bp1c7p06QLfypaDLezljJCw H2fahcFzxRVXUL9ZvXp1atUYq7ZwTv369dEm8c7j9X27emWDVXt7xDEQnEY1 3ceomrYidjW87tq16yHVjrXGxr333uucfPLJtg6HdQY06BD9fB6/JnoC9STt 6sQq4zPPPDN+TdZtelaDoesUFBRgTBK0MWPGEDT4uzFVKxjerlmzBowhS3D6 6afD81fPPvvsWuvTdGdzGf7/xfRPHjVy7dq1pLzxc+GFF5IfrZU6TAyzKzve J4EWVFYqGQjCqq0/ZKedjXPPPVcPIq1zZQoRaE6/cxPBEMVHvIdf99xzzxn8 KTcBMzPtFcPtJzdMe6IGROlk5BOKWbNmoQlUH971kiVLuHouNAr1iAkTJqin n36aqgjliThY4RBZOOeffz4MLv1/4MCBNGnX8y/4QAZSvE9sWSQCQZStW7cO 7830Lqi2b98O02TLIhEM1whhbGBeir9apNcE8O/1118nvmJmqeUhskhKPrqN Rqs+/vhjqg9lq8dXC0PVZ599RsVoG6MrYVenJx4Ho2SRo3bt2kXugJlskMes O20wcXGLxMWi7dB0bbXor3MTV8kyxbDVTZo0wfCBzqLpp/5/EoRCLias6KAw jXgwC9MGqXlqtb/88ksqFgOL2kcffbRw3PQD4nh2YogxTMaMHGRpV5y+WrFi hZOfnx9MXNwicTEzmU3Giy++6AwZMgQmMkmtoKl13333YYIujTo3NUq/+OIL Kn733XdJUphy6IHePLXaMOAIur366qtUjDCadr4S8bcIiDH8FbLsr7TYY6mO KW6RuJj8iyxEppJ8KCzdvXu3mjRpUixLkxD31VdfUTFEeNFFFznnnXce7Hfz 1GrjQXAFfl3NmjWhZPAqEUuLgBjDUj21IgNkd+x69eoFExe3SFwsLhtCUOI8 NU8FIffyF154gRxpi7lJyITfhNmpHtlUjPic1hEp4cwhr7FGjRoIrhGTTzjh hGTMLQJiDHOhjyFn0c0ISQwbNkyCQHGKAi0SV2WSs9UzzzyDuQvhfuuttzBt N5o3PlibvRieCOla7E1CKP7ELAPPQw89hMiQITQRthxySsElLQq1cOFCzOlt xtqmLScBuEO5SjI544wzYGhpXq5nxzJRjlNkczVeuXAVZgV2FZEveHR6rApX 44I1cXWaHEZ7Dkmp1NMqmuTABmJAa10pLI2LylIEzogRIyj2rmc68BYsllLA vGTJkjZL44IzLMVvZ4VphZmm0V81rPIknndbh/8NBKbgV3nrbSAYWe0B9XHe lfXx7qj/Ut3iREum25Ed5x2HdQ6L9A9Q97BIiyUtxVCkbX6Hd2mSSb8fKLoO L7T7ivFk+UPrNZwRD62EzrU/ppQJV1DJnclI8Tqbj0cFr0uFQIWjHRJHOxVK meB2CoR4m/ESIdmAK8sKCuuA9es7+mulpw2Ea5z7VflopN6mgQlk4DgXX8yo 33gjZRl4mzllmgoPU4yUSCgsTIeEdP3xTHEhnhb5zeD84x+ZgfPuu8WjXa1b M5wlSzzBcTUHwt4VKzKsFSuKFas9sshtGjZL1K4dpZW8knThhQLm921aCCWy +8Bp2TKaivH4FbR0bEJ2HDzoOFhByKCk/Q0GpS66SCkfcGSOrLAMq62mk52N T8Ph55/3Rxd22QHOO+/4g9O2bWYGu3Q/j4Pd4lPsqCheStEvHG2oCM7atf7g nHIKw1mzJjNwVqzIDJzVq39fONHqJ7Y1KamfYs+LTNFT3Np1mD9/jHY1aOBL 10Tp9jVrsGvXcXJzlZ7Y+oDHO1WcHj1Am6NnwlQ4wSMobHWGaS5fXqn161MC RZrHnV+++CLTgT3SvAXWuQO/kikflwJUEt/n2We9N8bwGSBAz0knAXRmbHLV qkzexo3+4X32WaQfbNvmvx90787tHTTIO+tCmGcyWSeeKDETz6BACd6fcoqs evgG1aCBP1Da33v+eeZT9+5ceNefDw7HFbzsw8q292ExMP3k+aMhzf1H2fb+ owzQkNbmm1BGRZDulhQKfVHALlQUzvHuJ6nF9CKbM4IZbloaWxfiRav8oC4i ZpdobT+l1vfvnw4J6S6EZ4qE31XdFDd6DsM5DCdFpzVObXLAUvNYf4MxUNzG UnGj5zCcw3D+SP05vq4RKrzpmj8qLw7DOQznz9Sfb7zRHxwJp/Xu7UXXvPEG 1+7b14uukdoXX+yvDYfhHIaTCTiXX/6/SU8KcJrSP+kfdUwYUUmDHwZ/2sf7 MoWfk+14PewW2QYXKgr3IfEywZjesa+EsRsP7U3vhFSmsad3hChT2LmvpXW8 JsOoUz6Dkqnu/edTxyHs/OEdRW3b+l4XuvVWh9aFqlXzDWrSJAaF7bk+QUUY fhhU/MXiOADSWyz+n+HL7wjq8ssPU/XHpuowqN8E1J9KN/XtW5yoWrSIQXXt 6huUds8IVLNmGQPFSQuLG1WHQf2JQEXrpjgA0tNNxbtnH6aKQB3PRc4FF1wg nwfqZBp8iDIsI9Hh2rVrUe2kDGOgVHoaApKmIQ3WLbfcgk0/khTohMzzC1Gf KlWqEN4g/Q5REurrrruOEu3s27evRqax5iDuRG1avXq1uueeexC+QP7MLEOA yeuJrKrq8ccfr55pAkpS9kT53DG5x5CB+aWXXkL2aMq/qqkggjKI/kSuTOgQ pvrggw8o/mbknUFMteifPAQBKd83spQijWozXX3ixInYHwgwpc1neDymdys6 ruNROkwNkk1OmTKFUrEiCeUll1xCCYa2bNlydOQzr3nQUiI6NQdL+jTymBs5 UjpR5IfVzzFG5N6Sh8VGYzV1H3/M1PXo4VJ3u/tVeYsmW5kgt/ywYcOQT0+U ydEGs7esWwkZuG2b45Qs6TjIrPPll6kxkMLDlIkYKknGnm52tWrVSKqFhYWg sWwMXelltkpINrjZvz9z9+qrk5Fd01RDGngkoC0oKIjVYccddxyiseBdaUOX t5xRRZMdszMeWXZS2Blfy6DDg2GO3Z3t2rVDsnCX9aUj36SbhinhSeqGDcFh ZOxOSmYdw2JkT2/RooXYBYuydLMZJWXk//0fy1/LQMNKSiH33Xwo8Sh7gsUG iBapj5A9H9ni0Ynnz58PmVZP1g27dWMyhg1L1g2NRYMRV++99x6yy0MpUtgd +YaR506PDRn1CY25HjN0oAVpY7/5JiXM0t212Mmu/Oc//wGa2onQ7NjhaJXO vQD8TqWBlBKdpI2/Enp24N/o0cy/Dh1SBY9xmtxxNL1k82ZWcFqfqw0bkvaS hAeldMclTnzwgSc4UXQtW8bNRqbeFHpv0gMyl13G8EaMSMbGpAeloJ2OOYZZ 5xlUOLxzp1LlyuGzcHjqVF+gMCC030krGHqIpgLKmllmh+lZt06/1RpHq3Rt krhWegdItdtA8p81y7/8//lPlhcG8K5d/uWPwySAd8stPjittLFj+R99tFKb NvkChdP+deowx15+2RcoPI8/zg3UPq1nUIb3SBZToQJT5vcAOnshSk9H/MHB GTDAmTq1eMF56qniRU9xgzNjRmpwog+yx1KRnh7KVBsGD2Y406b5gzNqFMOZ MKF4wLn5ZobzyCN+4IAOVjmjRv0vwkFi5eJEj184jp7wcruefNK/fYb1kiQl Cxb4h/fqq9zG2rUB27+9hzvEOoAK0wu047S3uPUIUjjpBtpBwU03SewlJQoS MWfDBp7NZGeTk35/BA2MtVKIgC1apF/Mm4fJ5DvvKDV7Nv8gkfVjj2FCqzvS XXeh1oQJ+B+/fuyxLHwHRPPmwevmn+XLEe7AkdsffkAP5PvYCO3q9Nrhdj6w Afx85ZUAy5XvP1EHDqBNcPiUmjNHqQcf5DlPz56O06oVZ61jWVQBDtgIcPXo ozlfwLnncoRj+HCl7r8/kAVfOhAMhwHS3CK3zBPFUWrgNi5haj/9FGaNpxId Ozp6wug4lSvDL8wjCoNMYYkS6M3oVK1a4d1FFzlOly74wdz96qu1hEeOxG0+ 11zDTbj8cv4ArdbTXvLkTj3V0TNuR8+Juck5OQAeoCxKAT2xB93yA6RIFIY6 gDN4MMsYAsVlLRxeMvfm+NJCo4QdeHB34N//rtQ99zjOlVcy+lySUoioLBkR GFoCbsEZv/ZapcaN40769ttKrVxZze4Wu3cjWYZS772HZA5K3ak7zfXXK9Wo ESIamBcIM3IISx5PY8EzhBPRv9GhN25E5ikA/If/Zt/EIxOzAKWee46zbkDR lC8faW4eTxAaN3aczp1ZAH/7GwsBl2H98supwjzQBeahCD1/4kRwxXEKCpBr gpulf+fnM9OuvBI8Zmbt3ft3T80Jh0eNwva7cHjEiMCNokbA5yefdJyrroKI 3Gag1Rh5LVo4znXXYYaB/FaYjoGfkvxd/fgjZvw8AbnxRu6+lSu75NeqhcSX GJxcm2/FecOjNMCbQACz3cA1QgAeJPkEH3FQv1MnjIOQEFCmDGb/Sj3xBNJX IRyECm2k9g8/KPXhh3DyMB55mJYu7dbGls9mzRwHVzdCjvhcWyuP5IM0kK81 wkDh/rZtSuESGAR4LMTHHYdRDH2oFCJRaKFSHe2Rh1crVjDn+/ThRDVB0j5Z AgUyhJq85BKlcKvZRx+h87zsayzAmAT6Mf8kdKDUo4+y1kIIQQgIIZMITrGg hVDzPYTryIWO8Tl+PGiTERRFdqlSjtO+PcuN7yd9wf8Q7iPvtm8HZHQU6Gam FVoLCe+A8aef+tv9C0HsmTO5gyOHGSL7hlZwHItCY8ciBiiCmuGf1p42ATt2 sC+DAcB6z7BYKSCHiuSRda1da9Mm7h1gMfhpCQadBeMS+3G///65oslNMy1w nHuPEufntVp8pYwJqMaFCzm9UcmSLs1oeOvW4fDEicgmOEy+hq14800oKVjc qE6E3ti6Nfs8cAn0OE/W0jLk6ni8ViiVppJH0V3e4RK9u+5CKAh12bbDVhYU wFdi/05b7dHSWIw1aDlkHMzNdVmDxp5xBoYmxPlkskZ6vcQnVUl2k3cffsiO TU6OaV6QnZlbb8WoDow1vYYeLDMiEta3LxbcIuyADoYq/Owz14l5NHkDvd2i E1mmzInTrM4iBVG/s2fDOLtSQDwXW+zefBPFE+RrjEx8iWyToZD7tcZOLhBL 4EEXc2q5W2QZNebemniHIlwJPfQQd8CHHw50spuydy9rl1q1XOJwbSGcBb7B 8177a9ALf8z6GuMMPsLcuWj4w8mlk3D1MDvenTFxM6S4LQP1ENKgQYEONq3Q 82PHIp7p0tqwoVJYRIfa0GPJ7oHgMK6PxGQlLy/SY+Heo8d+9VXgweRtU4kT 0MS5tiXltrW326bVEc3py5Rx23bWWQi1yjCZIhC2bGH3sm7dyKiCBdMqXL3x hrjIgftSalvRK5Wh2LtTUmrWsGGBdnaz4BvccQdcfG5WkP23LVvoo8flU7ER mCjS9gLmQOPGsNRiDScW3aKEZthieVubNuxpePhhaGiXtr/+Fde400fT7E/h Jj/wALSdS1uNGhAYKzrtzGeKthxMCnimLHPBVq2Q5Xm6TQ9mw9OnY4rk0gPF 2qsXT/e1FfJPT2uhZ/VqToAt9MCRe+ONF6UK5AZfOBSKjDFtcDXJkGvAb4D0 xRcDBVyCC1YdZ+hQjp/wjAZDgSWpx4p8hs0dcO4wWwAI/Bx3nFIjR4bDBw6M T48gN6Pz/v2R3N2LF7diZOEwLMeQIbgfXbwUKFSeCmirL1zCQLjvPtARcHsb 7s7iERsY54WoIPuxwHrqqYELpPl4sLYJP1xiCdj5yHurXueqvGaJVINHHRWR Gw5yYQKl9cdtnijiIA4nfgy0tCmCjBBWwF4QDqkoNXo0Gv+2fIZPMHcVVkKr 9ekjzt4tHgnq14+hjR5tCMrhQCBiGxzMUKpfv3B4/fp5Qoi2Z86YMRyFwCeg Gf2M/bebPXYg2cSBXrtnTwuhBR1o3LhIp0avePfdBVKMeCEum8jK4uJatdBp 0qTBHVUIPpjIXTNbOkgUiqkxMGD7QKS1C4WQxYt5l4yoAcwEN2wY5YkQjAUm 5IEHDCE5PHPmMQsXWqn580FAYWwvgscsn5UqxaNt//4RSQixF6Wi9JwclSWp //WvkQbCTd2160OpggfLxN26RcZL3boc1dLjZSi+S3FZKwr/2YIfz8qVAMpl SNz5t799bOOfP9+y+0F3Pxi+GOpREELJrbdGKJkzh0NVMhH5/HMg/0SKYX3g SMsnZcsq9cwzfgnQrGgsGMJh9oak0w8ZAhfvUynGmMDcjSXFgblNm270T8AZ tiyQGxOTbdHqU6aslmLYXkzsUITthLNmocJgjwRA5/GBnggBSC6M7R94jzOx ixcDw2q7M2AvVOvWkc6A/spWJ3CdR0ok58mYMYFGNiugLzmsw+GnTZvW2sVo gIzIChXQa/0S0L17hICXXpKAB2QkHtc6Kcb2MASrZNgOHYo50DX+CTjNbiKc WOmNCHcfPPglV+RiOLBY7bBHDYKpSg30SUj//oGGNiEYGsOHR3rl009vsIuh QBCmRTHmpPPmeSUAa14YXNq1cAnAzUcIlMtuHvh4elopxd9/zzFXoQ2RmnD4 ao8ESKpgrfAa2E08cIAtouj/hQu/tUWB1UzMEoNm7QZn2xBx01beIyGPPca2 6vLLI4Ts3i23wvD4XLkSGL6z6Xz3XZ554xM9n9f23ysBViqi+jYGEMGLo7Ds iJpvk2KoSKxbiKvFO837+CRAjwqXABt5lSrS3bfZ9O3bF+ku2Ir2yCMZIKAu Y+BoNfSd2Eu4DF98scMmAPNkjFr4eDNm4E2vJAREuwkvvOC6Sy5auAnQ/QCA WcXWrWQsBC06S8gE8bDIxSFkioam7B1Y+RlOspsDwwsXHWXZ2eHwwoU/28XI NJVnFnuuugrOS0+P7LYSTbgEYOxjnof35cuHw598AgHslmKc/0TIDMWYtyMW atrtgwBtEpmAUCQ//jnnYBVlr91yWEssSMpQ+/xzv4g162vbGCRwiAA0j/X9 Uoxghgw1qFwsHOiplX/WMwEh9lDQjaFTly37xaYLo1CcFPTy5cszgPgEG8Nr r0mHZkdLa1gpxpS4c+eIE1hYiOJuPgm44QZDQIi3DrPtx6qesulCf5RU+fn5 sEV+EeuW17AxIDG5XBRw9914QxWPkG9AQa9eXLdePRgifNM1g1RAurwTG7qW tyzEUiFOgcxzIYhVq/xRAX/HUBHiSZHs54GJ10+2zQMxxrhxAuvPSnX2iB2x JGPoqtvtQ5hOdpBzNCCaClaOcrURK6CtW71SETkeZqgIYVVcdkJgxkcVSsST EvYJ8F6VTh6xy0F6rfqq2u3DTZOIXYOCKVNcHpSI/YZ7LG8ZCYe9UgHnBZie fz5CBXpZmzYM/dJLxbRRxVLCJ1z9JgP2kUe8YrckUFUg83oHb9ffvp0qHGm3 3dZTU6fiTYck2G1bHw5jRwDq1qsXqGzDRfgTgSBoV+zGMi0uI3Rh+5Ao5+ef p6B+ioY+HJ4yxSE/olo1gzPEI0qu1nrqKapwlE2PWCJcN8IRkvaeuBwOYxkL Hn79+hHst9/O0LFkuZ9MnFOOy/jYj2iY1au9YY2S7XF2u5Ys4RgYwk/Yg2L4 XM7ufaLv4erxFeztfFLRtauhIhQOo1dxyI+ntPo51qYQ45zPRfAqRjjsFTuf lsQKqWBXSkLs1auHw3vJu3EqSBnCubhhAXUmTvSKFfcQgvZTTjGX2pt2YS2W w7Lh8IwZ8Oos7Nbokl7Odi4eKk9UmPMTcuLoXlqfdEyPjByagq+9aZNfrG3a RLBidDElLFsXq7FrF1zA5XC5Wde19om9adNAVI/C6QzxMLASYPp8lP7ZujWi 9ydPzgQVmvNRVIhGQTt59ZAqupoXEU7IPisrHJ47N2M8CLGHhR2AaBuvuznV I5SxHgQseB7s+xT4xK79eoOd9yYAMzbsmTZb2MNhOPayhoTdev6xa86Xi2BQ aulSjlMgaMZHFKliDeEPfAHYNGwWXro0AXYOYufizKuD/QUTJkxQTyOe7jhu dtF0L/t2qcfigFlkKieUQUc0aSKhY6pgzRoiO6bhF/NCQqtk1Ae1IvqMNuLo x1BUwt6oQ0/ad4bjEDIk+M47EerZu4E2d684i5rzQP+efLL4oilSb1J4EvXi mSbKdhq9MwUBG2MWXYPLB914t6bpGu6cEI4W9lAhrrJgwXkuwPLJiUp01XhR XBTyqlcPRHkj8I6gG2A/OMpmkWm+QTQOdWvUkODt+d64mf515VF8PUp4ByJ5 4sbRZf1ExVnQJcQFGz/eB8Hp32wen2DEuDH7gO8Lm6GfulL26afsN8Eyr1yZ AqH2KDNHE9K9/Jw1N6isWlWoFH2KTfBuP6gbYWvEf0Soku3MeUmppbPqJdG7 ItSmeU+69uxgQ/EenqukFzGyXrWK2QcTwyvksYTzShA2urFLnoTwpoZFP7GD Sn/lJyIOSh5uOPb7CHGmk8rpN+ONNpAyCYdixv3DDwmIKdoqacQ48S7RWxcx tkhwZ8NhZnOTdwObKL4YG8R5Q8ybnWQiYbUYWyfxeZUq2FZhIbZ0DVQeh8Hw poVPAk49NYqAli15Cnj33a4TzEsfociaC8Iwv/6aGcT5dutwBB22Hr5A5IyO EMDL09Wrix/olQD4ubKlQQgwm4qwxMWtpzpRy19iMDHxYl3WzCMBaBYgAZNF ABiDcyDW9fGNhPUSYsR2q4wjxiZVnna4LG8kZcjrAN2Qk4MpWEYR89o9XvFs Khox/hZt2r9/ZhCXtOUJC8drU9gIHkOA+WbjRj74FAzy0QSlmiQhxAqoxKAP h0tGXmM1SqLpBKSx8ASbu2TNTinaj5BaLMWgE299166S9msOkHMvjqDjjECl S3NZYWGy1iVCLJPzH390EWPxC5EwOGjYuGYjRhU+wQk7nwnEP/3kIn7rLXu4 WIgtayZDDQeQDKN9EvDzzyVFiji/EgFOdc6WKkjODeKwidAfYum+27bl2a1D 0EoSHuDIRCwBcJ+k9UuW+CFAlPHXX1uvsflB5npUp4ldBRkrOOqUCcTffhv1 Glvz8fr11y3E7uERtul8KTTeNM50y3nTKl+qTHWaSX/AWTS0esQIf4iVgm1E lGrdOteJwRZvfI59cSZg2Uyq2PmnNm3y0+JsOqUZDn/8cZ60Codu4LZhRdB0 smZ2FVkrHTHCD2LJKrNokfu6USNmghUwcrfQ4ZFUbJxuB2/OSI8AXlKIvnXd 3UEoY0vyeZ0r/MBpJhTgFIR/lF98EZ0SBWdP0KiOdGrOOU/K3n+f32M3yr59 XrHy1kfMn6LPfWNjL29CjsaKMl7yxTEJv1g//DAaq3ASEfForFj54fb26JEM KxnjvFhchYXRuESLmjHLuNxzaryhibMI4Q35hMksstu+du3c7uPixN5s0N+h g9t5z5ceJCuY2MGlu7lHrrK3SJmrXKzPPHNIIOV8KZPsVNjHt2ePV6y88ogo rmCV1Qo+xxWL1e5BzzzjFSvOmZoeFLIlBxPP+xPl0E8sdt5tyz6YV+y8tQdu VSQPZMS743NF+mllUwbzK5SxU3maR+y8HQTYorFjVYvPRVGFApEGopRob7t2 frCKTN96y8Ya6XVwviJY2cWUMbRunVesvAaCs/kRrNj+CeOGKZlJX1ZgUyTz i0mT/GJ94YUIVmQWAxetzIIFtnxl9Rp74jhK19AjdjkAMnlyBPsXX/A7HH+O hx2Tdt4HJHsTvWHnWITJeSTnodyYNk4HG+ytpUx6F47geMeKfcUmE5WLVQKR SFURjTUiDZj63bu9YuUN0LQX38WKmQv8Dmsl1sWKv885R9ZOvGLl7Z3Y0BaQ y79Iggg/4Xtgx1m3Q7FHtmx36eIVO4IdHHQz2A1k7O2CczWYNnM7bSOU8d4X ONFYjeFT7A2SYLdtsBzWUcqNrUZpYt7hoJ92IgPR7rzqRxsvU7S9EiEkmVq4 +FgL7+SycUkYRPpvsnYVhXXBAobSqVM0VkkYU1gYjRXrLNixiODr7t1esWJy w3tSorFWq8ZYzZ6ldnYZEmGg7M03vWIVTTdyZASreDfwRk0AMeo4pMx+r7jC K1bExgBhwIAIVvZuoPHd0cJY3YQHEZ3Mq6j1vWAvwev04jEipo6HtaLM9rmS OdrKOVwiS6xe0SJoKTF6s1BPEwFAXrr0ELS8h4BXez2jtVZiBg0SXkf6FGdC jsaK77EWht2Iu3Z5bSxWnYEVc13x5fB3pUru2d5otCCjaVMma9YsT2hzI2hw ohoPlpV4ty1/HHUSG0cdeDaWJjqKEbnZLvA88ghTzovVBo21nQ0uDhareDWl rgd0cMh5S1o4DAdC3E8cptJPJxGtpBnjA11eMUlsRBa7ePnYxsTb0mWTdkJM TQzsBMv69H0/PXU6+eST6arMQDZWmCmphUDDky8E8rlHTnoUs5fQJRCnSGTP TTiclMB4K/fZUSk21mlPZeDAgchChuVRtX37dj0x+To+hRKu5TOCUXNFK9NB hNWffJIChfbyrCy6I//+5MmTpQOYFfQ8oUNyKzZvLt53fDokL+rkybVdIAmW 4e24BhLBDxkyBBks4p2vd2P22GQItXLmmXycA9mXDiUFBxX4TMz996fJEmp0 ljN8+PCEdMB8mCwitJTPJ68PpQMLWEhEkULvjkOHfveJNnRly3Ja/XhLu/T7 geSw7Y5pUiRTXvn+/fsToW/pCVvlypXjJm3IifOuze/wLjtps6JWxaVZuKwB 4+3ss88mDaD71h+lWamumccjvayPd0f9l+oWJ1oy3Y4EYo5nOA+LtHjV9SJS st9T8MuYPXq5J7P/DzMp6s4778SFV5TFCznLoAL5GFyAlnezYDe0OS9Xrhzd GYXEUIWFhXKyes6cOXTvDIpwgw+MTM2aNeXikKFDh5KnpW0SpZE6ePBgFHRz hwpu3Po3EnEqxdl02GKh6JhjjgnIZR+44wjQpk2bhqxberKyNBpaUKrQX2K0 oAKjQQXRVMpU17t378Du9EAY8dFdQCeeyLc97SoaBC/gc+5OXK2EG7qbax+o UqVKdAMVvkOSKuQGukq7sDNmzMBGtyxTDVnGHtQTBM1UbH2ki0a0f6qWL18O 94Jkh2tANEg4X5WKJDhEVg7s+46jLWbjIUkWXRE/qBIKhZzy5cuzbxnEf3Hl DYoCfBFIPtKdoTK1ac+ePbhITE+wKjhyC1GXLl2oHQcOHNCzzNpyfwiaiwcY rct/0CyriF8zE02RMbx5uPyE7rABhPz8fPLYe/ToITddMdPyBIHbrLgYctzW xqUrRxghY1Q4wcWlqbZhhMsM3SOdbt260W1rkAr+bdSokXrggQfk1qfbi+4q LKhcgrRt2zbtqXegcu1RqalTp6rNmzcblz+PLjLDRVcVK1akb/TAk0kKrtSi 25W0+zhz5kzqQlrm6CL8Ogih0LVDgJWgy1CCMXQZ3HWl5DqpkNOpUyf6FEUb N26UgDKmIOY1aJc9xwB8zTXXiDTUpEmT4KETQ5599llMtQJMWLbTvXt3m6HO ZZddZnpdtlw748qDy1DvSJRFCQL3TIlm0VM8wgU+LFmyhAQC1WHFSQHLpc/g kSBF165d3cZ+8803di3wQWrhLjO3Fs+4wQ/pgh142sXFJdUTTzwhd2BBBdMV biL2QYMGOW3btgXNSTsLXyoGpYCyxo0bixIPGUR4NmzYQPfCARl2K+PRPYCq NG3a1Gqsq3bx07NnzyoJ+gYQowk3IAFspG9cffXVLrtcOkJ0rZgAHjBggB1Z xLjCa61Q5Wuwp4ivAd8wNRQfpXwNFWnxWJb01qxZo2ftp8IWud1MQ8hKAWJc /Kza0T6RtXXNEM2YjPp0brrpphhoVA1aX/fXpLIO0ejAe21p1aZNm/KMVpRR +tFHH5Fsoe7wWR+ke4rggza2mJpItuANrrNCmlJLttjLHEe2AiGOtOR1r169 5OsdO3YU9TXgx8g2BqUMShFQbm4uVKG9XPvoo4/STnGRLeFICjEWPznSrHny bIGSJkN1bEQ3llScii1btiBRJv01rmhpijuDG89Ee9xxxx2s2I1I0S/q1q2r 3n6b8nmRtwAYbfjS1XgsLkKkgg1pSjt27OjUqlWLuLZz586Af7nq1ymM8NTl CoOO17hqTD95XoAkEGVOlCg1g6l6w4YN700qLmfkyJGuuMwJBCMuNnG33XYb nB7qd7grUDrJ9OnTwRu23GKAQZ554hpg2fa5d+9eui/QPPkIsmlhLsJyifUM oAUMAm2byEARIksiyQRfpy5JuD94rXXWby/JEiVKUHVtxpNKMkghHbzX8jc3 ILLPBYMxePBg8qlw8+ns2bPhqATSFZo24uQWi9DYf6FLVYuz0MTxNsE8ZkyG xRZ9B58wFgF3af3dyeUn7r1WZ2aCzUlq4eThTBDcMj2m05UbzQNwFa3IDQ6c Br3Z7AcprnLTr8uUKUOve/CFsb/tYMNsFdX1oAthrAR4moT5GH60b5XAlREZ io+iRW+CHyG1bNmyZNZM8lDiDlmzGuKemCrCiiWwS7+VOETBtEKy2QyJw3bo i3A26QSX6QZ26zG5Mc5SCpIRb7Vv375GO4boQuBSpUphamKTCDcxicAqx2mk njkIeZiyCgTtWf0OwlHjxo1znWitMWxvHG4jJkR33XWXF9g5sV9TImsVmfXh QYtFdtdEzvap8ePHizNiN7dLly70OrVRZWZ5mG26stMA6R2uHNa+tzQMubaF l6NHj04kO3s2NHbsWCEPvqm8vueeewTw/v3748ku5rU32WF6bLQ/FmRs2U2d OlW0UhLYuCa9CNlZkzuKV7rFPMlDi6X4Hj7DTrLbvn07ieIInoTZFO/bt09i NKiSggxhgfAeh8xLm46zePFi1+pp60b3joOh0hQ9ZhFcjCdENnhlSRHA/8d7 DOVzzjnHQRPNIhFNi8Uh1mqc+gfapqdT0GNs8HJsW0rVUHzhhRdK/Cam2NjK ZILlkYHgHijDJcDawaV3iJgazkL5FCFZkz+exCdsMgiMVS7tpf02ge+//z4Z Pj0rhp2iYBKGsp7YUhXEX7WznlS+2TgY7Hair3k7sVmdYzZs3bqVdBQSCsCu 6nFLMDD1M2wxS7gU1QMK9i/Zv9JE0g0OTAB/t379enf5192Pc0gfKYdzynQH d40aNRBmpUbCoUJIEzeXwGiDHNi1pbxViCStZ7Lqueeeo40V2tigo9vRtXjl 6Y1/fp1H0SsIGQSCJ/A34Kk//vjjMEaJuwddkY0tArBmuklW98hPt+m2Nf7q q68oKoCACQLCcMZOP/100hD7ONl+Ct0CYRGsoKDFt/OO3EBFS1aNGjUCZP19 nTp1NAwsPSAXwqpVq9xVjWRybpwW00vH/3pW0W2R8JFMfzW96OKyCwEaSz49 0lLdc+fOpYi0Zpa0BAHnadOmpdWLM986Xp0KhSiWiC4hcSYok2uvvZaKcQH7 Zs7PKDthEARCEf4qY9qgZ1XO9ddfH2lRFkUFqAqa5v4UFhZiEIfwR6AEjXHr IYahcy5YsCCzLRdDPW/ePOrpZi7xtMWQEOmYsgQIn8XSBBuMPqzVFhajSIfK NTmYnMHB7927NxmEsgYdopLt27eHbsC31IWCtOgYdGca/BcvROJbwTt9+vSQ UXumXxHQM6wGJg8Xl078NWSGr7GSEGEHp1Fnr2Dnzp10yVHnzp1pVGIlTBR3 1apVnZYtW8LDgtooa/oPHowGaBcslhkjJP3H7ulyymT37t1OQUFBrE6T17bJ Kx2/igh4/vz5xNneyDnvtmiDKYXtuOKKK2hArl69OgFJTpMmTUjZxVhheR2H pNgqs2zczBbcb1O/fn0IVNaE46k3+/ANuhgsqXYgrGmPvIqRsV1k0H9tSmfO nElEQyJFoKUOlhddDfEBVIPfYlXD6658xWlUtS8tWu69915Yl4hND1G0D9Bg x419Ndnx7JoQHjFXm9ZYj/7MM8+MX5PNFfaHQQS6Z4h5csaMGUPQsFwYU3W9 kQ38I0xGMJ3Q1g3r1bR6h4dn4FH7CwJH/D8Aw03S\ \>"]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[Cell[BoxData[ FormBox[ RowBox[{"w", "-", "nullcline"}], TraditionalForm]]]], "Section", CellChangeTimes->{{3.406361911712035*^9, 3.406361989219633*^9}, { 3.406362033712138*^9, 3.406362068862952*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"WNullCline", "=", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"g", "[", RowBox[{"c", ",", "w"}], "]"}], "/.", "ParamRules"}], ")"}], "\[Equal]", "0"}], ",", " ", RowBox[{"{", RowBox[{"c", ",", "0", ",", "1"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"w", ",", "0", ",", "1.2"}], "}"}], " ", ",", " ", RowBox[{"ContourStyle", "\[Rule]", " ", RowBox[{"{", RowBox[{"Thick", ",", " ", "Blue"}], "}"}]}], " ", ",", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"Style", "[", " ", RowBox[{"\"\\"", ",", "Large"}], "]"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"{", RowBox[{ "\"\<[\!\(\*SuperscriptBox[\(Ca\), \(\(2\)\(+\)\)]\)\!\(\*SubscriptBox[\ \(]\), \(i\)]\)\>\"", ",", " ", "\"\\""}], "}"}]}], ",", " ", RowBox[{"FrameLabel", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"Style", "[", RowBox[{ "\"\<[\!\(\*SuperscriptBox[\(Ca\), \ \(\(2\)\(+\)\)]\)\!\(\*SubscriptBox[\(]\), \(i\)]\)\>\"", ",", "Large"}], "]"}], ",", RowBox[{"Style", "[", " ", RowBox[{"\"\\"", ",", "Large"}], "]"}]}], "}"}]}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"500", ",", "500"}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.406305265644019*^9, 3.406305278076926*^9}, { 3.406305477782125*^9, 3.406305484499924*^9}, 3.406305582572573*^9, { 3.406305970083753*^9, 3.406305972320195*^9}}], Cell[BoxData[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJw1lXk01GsYx5UbSjuhmxRRdjmluqFvqa5oQUrLsRwcylbcUl3cIg5ztDAS N6a0SUdRKUrCCM0UKUTWbPP7zcxvtrRoSOY209znPO95/3nP+3yfz3O+72sY cHhn0GQVFRX/n0u+/4qPiNUudh6I4cCxShaQJpHAfozedP4kBztvTnfozZFg qUuGsUsGB9ZU7m9nx8RI/DC39OpjDsoiun+mGNtn9+SYV3PAWmHmTr8rRm/N pNakVxx8bnu9I0hNjIBZA0EVwxyEyY+XiaA2b5f7hikEXjmxykPWiRC/Qi+r 2YiArYeWnYeWCGvKX1xZZEXASFFXCB12CbV6O4FVV+j+Y4uFYPtWSoNDCNT3 /PWF3yhAwMTjOsNTBDoVggSwiz4pMswmoKZlaJphIwCpYpPfeItAwybWVOe9 FBhhzHK7PgLpxvICFKjM12KtIQKu0oainaBQO7IsNIsgYHmtMmlkLgVdv+F5 fsMEwhX6+ciOOVfUPpVEbMWDEJYbH7t9VkauMSHhLJdrzMdjjQOFS2xJrLDU a6P38TAOlUOWm0hENUeGefnz8I55YrlVMIkJmTy40D2YoHMwgQS/5Vy91lEu aB1WNWdvk2g8si7CNZCLlLVHLMOLSJQqeJO4MWlrzGgriV1ebQa0FBLf98ZR LAEJNcbKC1aDBBKXeXad0Ocq9RKQaYYkD5tyUez9/f02BgHj2VOfZi3nokqa HHrDloBGtLt6tDsXS5Rz9py4djgsnouD1V5PDnhz4PZ7g9FCOhd30FjQxx6C Kllj01nJRZeC9xDUnUSaSV1cLIjrrp4xMAjtD43TmGo8nEz92JvbPIjNheRl tiYPdAXvQRxLNPu0bzUPZf6RQ+pjA2CuPcHMdechjWmUQ1s/gOkizo/xczxs UfAcAGvkOWNGNg9i3aMaCdoDOO8bPWcjg4eMP9NuL+7ux1jqPWnqPR4U12f0 w6LrkNsUNg9vMjieH236wXxXUzuHz1Py7sOYHiOtZpQHkyraRL1HH+4TtZba eny8MOiOiL/0Admkb0bKar6SXy8KRi8m5PjxcTzX7+mZth6cjZmhF5XCx31Z Q+M3rR6siXbY11/IV/LoRvFSw9RqNh/60q8OOtrd6M+8YNzVwYdxXk2c2udO CK/OpH4mWqYIcXh3J6Y/FLp+sqCU/XYCpjs899tRaDC4mZda34HL276eznem YFjguMHk0ntYprtERsdTSv+1gxXMcc/Op2BakXXzvU87OBZVgxZVFFBpbi/u awN7fmjd23YK8+0DY78EtsG12quAL6GUvN7hj2K9H/nzBRiS/eugbfYOZXs0 F2ZbC6BoP6IVOoFjxRa7BQiykRuiBb1Kn7WFza6KjG5Bi3bJV1eaAAr5Li3Q L6cvKKcL4L9XhbtI2Ax/2+Do5HwB0u+mObnVvcXrJB/V+CEBfr0/bzHATFBV nynEF0ubWLZlE4jP+89cXy/EZOPTtbRHjTg210q9JlSo1NMA9dwnwy/PCyF8 qLMkvf0VRFu3BRzNE6KD3z5+f8tLNDXKQ4gm760dx5NZoGVeu6GvIlLyegG+ ycPA9doibChMtvL3rEeU+gqzUCcRQk3DSaFDHbwfOc5/FiCCxf7Ds0IP1IK1 J65+T5xI2d9zjNNb44quiFBv5bJqUMqEW4lUYzJLBFWZnoXBxQowB+UDEOPO NJ3BtX9XYNEz308MK7FSfwVOxS04vs9aDNPSf7zneVRg0tAbc+vlYuiyR+kz p5UixtozKu+iWFmvBHT9kcUZtWL4ZDK+fdtVBNqwr0wqEyPL3COxLeIWHKUb Q8PsJcrz15F8ui/kjq8EERocouXeVXwfZzzfHC5BVppbt35ADh5I5YaR4P8f QGELmQT/AbvwJMo= "], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], TagBox[ TooltipBox[ LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 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, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97}], RowBox[{ RowBox[{"0.2`", " ", RowBox[{"(", RowBox[{ RowBox[{"1.7777777777777777`", "\[InvisibleSpace]"}], "+", "c"}], ")"}], " ", RowBox[{"(", RowBox[{ FractionBox["1.7777777777777777`", RowBox[{ RowBox[{"1.7777777777777777`", "\[InvisibleSpace]"}], "+", "c"}]], "-", "w"}], ")"}]}], "\[Equal]", "0"}]], Annotation[#, 0.2 (1.7777777777777777` + $CellContext`c) ( 1.7777777777777777`/( 1.7777777777777777` + $CellContext`c) - $CellContext`w) == 0, "Tooltip"]& ]}}], AspectRatio->1, AxesLabel->{ FormBox[ "\"[\\!\\(\\*SuperscriptBox[\\(Ca\\), \ \\(\\(2\\)\\(+\\)\\)]\\)\\!\\(\\*SubscriptBox[\\(]\\), \\(i\\)]\\)\"", TraditionalForm], FormBox["\"w\"", TraditionalForm]}, Frame->True, FrameLabel->{ FormBox[ StyleBox[ "\"[\\!\\(\\*SuperscriptBox[\\(Ca\\), \ \\(\\(2\\)\\(+\\)\\)]\\)\\!\\(\\*SubscriptBox[\\(]\\), \\(i\\)]\\)\"", Large, StripOnInput -> False], TraditionalForm], FormBox[ StyleBox["\"w\"", Large, StripOnInput -> False], TraditionalForm]}, ImageSize->{500, 500}, PlotLabel->FormBox[ StyleBox["\"w-nullcline\"", Large, StripOnInput -> False], TraditionalForm], PlotRange->{{0, 1}, {0, 1.2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.406373278539408*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXQucTtUW/5rvm4eZabwGg7wfRUkeqeRVySgUeZSUVxFCLrok3ehBopLo nUiJXlI3lahEIZW8kpJyK8KlW3mk7ux913/tvc/s73O+xzmj7tz7+87vZ8yc c/Zea6/3WvucdTr1Gz1owLB+owdf0696/sh+IwYNvmZU9XY3jKRTwRMCgRMO 4l/1AH6XgYD5wcch/NB/JPJ7M/49Vdx5550yLS1N/uUvfxH//Oc/BR2Bpeq+ f+G/FFmqVKlASJYtW1ZWq1ZNVq9eXbz33ntn8i1p4sUXX8QpvlS6dGncLGvW rBlSs8tRo0bJE044QXz22WdiwoQJ4t///nfY7DQxXQYC4ssvvwTw5nw6KD76 6CO+lJubG9CziZdeeolne+KJJ8Snn34q1qxZEz5b0Azhv87VU9ERMVUQS5Up KSmyf//+gWXepkjV9zVq1EjWrVuX/3or+hTp/DMbU4hPPvlE3nTTTbJVq1ay UqVKsly5cnxfTk6ObNCggezbt6+YN2+e+Pnnn1P0sIKCAnH//feDqDIYDMr6 9evLAQMGiPXr18u//vWvzLuMjAxMKe69995KUREOgcVMvl27duF6DMqpEemM 8969e2WXLl34euXKlcWsWbPE7t27AyksKhnixx9/FI8//rjMy8vje0gCxL/+ xbOKmTNnpuBkICSeeeYZXgsBB67qdFDWqVNH/PrrrzxXDNzFyy+/zLg///zz CeGeJvbv38/EwrWzzjrLCLcSgExe2jfffIMl8cQkfqwXhBAPadGiBW5J0fCN OOJfnz59ToqBKgBDtEaMGJEQqiHZq1cvPk8KJL7//vsMPp3hrHnt2rWMGtiP 26655hobtaNHjzqoDRo0KBZqpH6yVq1asmnTpnFQMyq3ceNGqQ2NuOOOOxTP NX7ETlmvXj2xZMkSxg8SjTkuvvhiGz+DSAz8DDRSannZZZfJ2rVry/T0dPHT Tz/FUnBjZcaOHesg+d1331lIlmAwt956K9SKRfLhhx/mOYhD4qmnnsIilCgb iSQUpT5cJTJdnzt8+LD47bff+K834+EYlOeccw6fJ4IFciz1gh7fcMMNrD5n n322WLhwofj9998DXtEhNRWHDh1KFB2Yc5wnagdKaerjoBWJ119/XXbt2lU2 bNjQKxps0Yj/iaJhRJosWkBfEevWrYsnLwZay5YtZefOnROFlpqayuevvfZa zYMQZENmZWXJIUOG2EILTYmDxMr4ALVxgf10ABJV+dyJJ54oDhw4YADu3LnT AThu3DifAEF6nD/55JM1wEyxcuVKh93EVjgXmFyYET5HVIFj8gUxVTzwwAOO 7v3jH/9g3cvWkHHs2bNHTJw4ESZYli9fHsvmOWAkVqxYUUjzILsGgEBQk8o/ g/CMUAeNgLpvx44dHGfgrxL+sCbCc7gC83rbbbcx1nnWVE2aNJElS5ak+085 5RSaA36eZFVs2rTJCSGKgIaxx8YYESgQL0PPAu6YW0/Ut+JYvHgxO8wjR44Y JOAPKRzyTx8VgIVCIVgiWEM1cxpb96FDh/JlCnXg8zFLmp6QqMaX8FdJDX7g wIFy+PDhhciksHnlIcDK+UcBJDgbwh9ko8F46+C1IlZ4++23XZEOsXCUYu4t Xbr0mHEUojB3Sd4QE0G3+LwxcLAwFPilSJ5FOl700ksvlTfffDPuZQ4FOfZl ITShTSCo42Hca+CSHwlpedVs40lXKJSVi1ABIDk08dhjj8nu3buzTFWoUMHR iipVqsjzzz8f2o/ItpTmAw4IRM+ePWWPHj0QW9l8sJm9XgFk6BX1uqA8V155 JcvN5s2bExumoJKHk6eeeirWZKJzN9m3h1fWUCnaY4oBYQ/DSMZ4GHkRexhO X3755ccMK2fpxt133y1PO+0024bDO2M22BA6PnMfCUlgSaJQJ9IYN2vWzH2k sm2U1UB1ZX5+PnSSZxs/fjzPhng3YmgFTdutW7eCMOwJGjdujMhfzJkz53Pr Vq/Z3HH+vaNe5Oeff86GG//atWvHMTQZdLgX3MFEoHtScAMJv76FB7dObAp4 fvAtRbZp04amIHNrsgc9RXqsKYzNY7IjpJs7d64el2GwizZWMZt9HwJiRPwc gVEQ6nWK+fPnYxE8BWLr1atXB9oo7GFQWCAmTZokZs+ezXQz2JvxLiAC5WxW 5MgLLrgAvpZlbPDgwZyvU+plwh8+73KPwiIz7vAvvvgC540r3rdvHxySzYZY UziuBxqBbLRwXEY0zMxYTQOm2yuvvMIkRz5JrNBTlIw3Ba8AUkOgxYcffshz wMySZmk+BMWWLVv4Oly9glnCHs+HCwzDhw78X5r45ZdfOBLQeQYHyyS0wdiX WycyWhky0ABOi47zYo9K0Zfhqc8991xoECwWJ5/0e0IwVZ4M+YRjxIEcjNxR gqO3b9/Ol417xegyZcoYomt5YKKnxp4xgs7Ix4EWBeJ814YNG2R2dnYw9uXW sS+buGvBggVy5MiRcI64GmeU4c4999yD9Nwsqk1imG7bto0vv/HGG8wpJByk 5wnBTGP3jZLbokWL+DKKaBR6xaJvlBkj6GvQsu8itkdiHXG5dezLhr7QHxSn 6J9N35gwQ+LgwYNi2rRpkfSNg+nXX3/Nl8HT9u3by/POOw+uPA7MkIaJGgvC u5o1a8LqnBeDrlFmiqArZVfsiGzprl+/fjD25daxL1t05UoUamwWXWPCVKOe ffZZDqctusbBFNETclTScL6MKh3ZioRgpnLsWKNGDZTYmMa1atUKxCJulOnC nGAq89bYZ1QkRo8eHTD44pzL9TYJDH3yySeRuzDg1157jcucdMQfqmgLHUVV 16JtFGRMwQp/ItHAMWPGDBSHAq1jDzWERWgKQhErxLvvvovM3iGs7eLSYiAf TlXmx5lnngmPy2k5Jcc2Vd2ut0lgKBwLnCsqXwjrSEEtqroO1aV1zg/Dw4io mJiMnjIrznPgCKHMZDATGxqSY8aM4eo75TqIGjQ1uVyemZlpU9MVaU1N/JSb 9AJ0ksZ/VbOux4m7L5Lq/0DgYfzItc4GgoV7PViUy7lSLudKF/P7ihMux/u+ VJdzZfhnkqX/o/clWfpfx6UYsrRDgucuLsJYj2jyz5nRx5zN/yVc4HArUKQU DWwiNQG3fNw/WL/Je1Eg+ktjGWKqM++9zp+54bP7S+KKsh5/6U1RIMYJpd3i 2yKCixVmugWAfsD50dnkmOQYZ0zIuXI/fgQt61DscU+OSY75M8ckdSU5Jjkm qSvJMf/3Y1QYnxUvr+Ux+tGDgHr2INV+9kBNZuZ/MCF4ie6x6yenU+1Ndo/w oqaq5okZvYnMf4V8kzFqfmp2z3BYe6mcBfpPW7m0koJNw2ARUI6SgpoHn/T2 Gf/1B6SlZpvGZUspUJRVRUlLDTiXvRZf4IqzaifH/A+MSYYPyTHJMUldSY5J jknqSnJMcgyPUW81e3+U3U+GomF5fl7bD6xz+D+/TygXBaK3Z3XjZaZmVm9P qPrJsAwkb89s+oGk5MDT44tFAJPw83zJ3dLkmD99TDJ8SI5JjknqSnJMckxS V4r1mKrqkmzbtq3zCsUpvucJcW8ptHig1Avznex3Ku4WEEjj98Lxru8tt9yC zSTz5mOtIiwV6dBJJ53EAIL8M8QNtYYNG8avDR45cqSG7+nTkHkxlps3bxZT pkxBQoCmHykakm5GglYw4pFHHqnmG1Im93bQPMPB6QX6Qz333HPobcXdYQgc Q/YDp7ZaEc+LFG3VqlWcU2qe+JmyJv+XgQyW+4uhKwratrRs2VJMnToVm7aA lqNvS/B5abd3yv0kPlUtsOhiMXPmTO7xgu4Wl1xyCV5ZFD/88EOZwtv8vmrt H7s07oSmWcANSdBhho5czS1/LyDHewb6GKVEGzrKbfHyvVHKMhqEv1d0/ZOE 6w/cnQiqbSSedK1q1arMEEqIgUypCAS8veLqB7/qGj/0gEP3mfz8/EhbULFi RdQJQI0cjYC/V0X94FdTT4kDeoV99E6dOqEbmEPHnMJ7vL5k6QeluppkaIXW unVrYy8tLLy+l+hfsLJh7sJMLEpSYAfeVkS7O7R3g4QtW7YMfKjmG1QmXJJ4 66230PcNVoUrOOgEhHfQSUKNkvl2TUboiDFsar/66ivMV8c3ytx+jJkhixQ0 cLuzIgUfxzVYmqousKSB5AcOCNfXkOLNM5l/TRews59+KsQTTwg5dKgk+kuy hpIW7f56U7x5J/KvyknB8q9aJchRCTlwoCStkLJECSnRY4rmAG3JXzvj3Z5N igfuFv41TeAV23feQecfIdEcCE91BYMaTJosU0ZBv+IK9KHEe/NCHD0q0n1A HGMtEF0kly4V4q67FNQ6JK5k47HAFIacgV/JXknZpImkcEKK++9X9FbvBIus OBgU5hQj9UoB8/XXBSmikN26SbIjFkHTmL5dukh5/fVSPPssWgrySrkrV0IZ yTBrfWROmIFkU2WfPpIctev6IC9k0eSYMVLMni3Igwmh/Xc5HxQerFdKQZhA U7h77hHy6qulPPVUokfIWWlmppQdOkgycGi6JSiiRflaVPYB8Rprzeg/unat ELNmCXnttVI2bEihRuoxa04j5aBIh3n64INCoCWWXnM1Hxj00WtGD5KNG5U6 UrxG0RmLj1kzEGncmJg0TIp584RAe5sjR1ytZDyIvTTEb78VFKcJeeONkrWR gv/ItZIiMfFJBCAK4v33GSqOej4gd9eQVUIgyDsJMXmykuYqVZy1AnKNGkpn H31UCSJZlIY+IHbREIE0BYRQQpYoLc8GIgGXF10kxbRpCqm9exnHJj4gdtIQ v/kGWzcCQiqbN5cS+x4R1IXGwuqCpy+9JMSWLcqy03GWD8j5FnWhv9Ag2KfL LkNTVmet4ClEu39/Jb8QOrITLX1AvEBDhOzCtD32mJDXXafUgwTWQAS0jh2l QDsj3AbWC9PXyBvE1hoijCjsb+fOQpYtK0VWliikrpIgozEk3mLhQuRrIt8H RLVTl6GTTUUuEkqov2zQQKlIIWRB8bk8/XQpe/aUIIdALEzmzO1d3niQTXNt HIcOKX5CWy65RMKtGepCsCjFEH36sGso2LaNRehSHxAbWRDRHZrIxvJL8SzM noEIF0uxrLjvPiE2bXIsQlcfEBtoiKAsHBYCBugnha+R/CQHIM84Q/HzueeQ CIuecSAW+tBTNBx4Fig4xa5QeIlHgCPg4BQsD93CVpZIzxYzIR9aR8PZs0dA peWoUYp6YX5EwcESaamsg1g6KVE/HxRUcXcI4g0XzHJJCYDtNxD/3HSTFGge 9cMPzKsBPiBVtqSDDAbbUzKYbF/y8hyIZGooT5CUPktWUVUFEIN9QKxgQfzp J45+MC2lexx62PJILoTtC+o02hsP8wGxrAURZuqVV9DCSsqzzmIe2vxDOITY bsAASfkpQx7lA2JJC+K+fQJMkiNHqqlJ5CMtGigLDXj5ZfZSY3xAzLIgopsr KRNcEFszWpQNUdsWOWGCFCtXsiW72QfEdAsiagcUwCDNkPXqHaMViO3wogSk Z/ly1r5bfUC0GxdB5BcsUFEVRCUCIsKe/HyJBIL1kMLA271BFBEshOLfcIMr QUuW5CBdTJkixAcfsKhO9gbsNwvY/v1CvPiikGi2C6cTASwrS62MAlpWVgI2 1RuwwxYwmM4lSwRifQ5OI4QTjOvUSYnKe+8xGe/zBuxnCxhcyttvK22HAFIk HCmXZATYRmsP9IA3YAcUsAIcR44UiDVrhJg0ScgLL+SlRDoe2HCY0Hff5djq IW/AVC/UbE5UEIFq7yYCJDq4zZgTcm+8pMWLWfAfiwOF3dtuPhFif03JkOzb 14r2QqJSJVY18cYbbC+4RXQ8T/adZgSCSHAcTkyLV6HyoIqpHBjFmAVbtxbM 80aTbzQQGGsE+BMnCs5CkDJbQJBhUq6HVBCZ1rPegGy3RAplJfK1nCNHuH0U CWDhx4+XkDoThC/0BuxzCxicHplotquoDUTYHHLQqLlAeVHHwfGiN2CbLWAI nmCdQUK4xghlofiYA5o5c4RQrdnFYm/ANmoZw+jHHxeYTZYvf4ySkG8CDpwl 0vGaNyCfaCCQur//XcgRI6xAJiRbtZI4BY8Mz/ymt8k/tMi1YYOqFpFpNEUp I20wz6ZSRP58uTcgH1hAzCqGDJGyWrUwIMgY2rZVLo4s5QpvQFZpMiHQmTFD cCGEVmHzAk6uXz9VBVKfOxErvQF5VwM5fFjAcrA3IzG2gWAVzZope48wmXRm tTcgyyxyoRbx0EOCPQjclkUulLmM+NJq1nkD8oYFBHqydq1yKgivLHcJ0wbr 87e/SRZf1RFWfBwdmMfWSW69od02AJZoyiPBRXGGsnRZseIxAQvF3Jxe6uB6 Qzw8i9Y82Q3RVyzCQhZRq4NUR9hv1HFQ34BZJWnaEg9Rv62GC/cJX7AQg3NB GIESF0o+FmIwWHAs5L2Q029xxueGo+OvM68bxV7QrIXBnz9fyF692DbbrIVL pdPitdcczf0yPsW8Nbd1e7p3gUUzVCxgHqEOYWlrCOZY3H674CiINOTr+Kj5 6A/rht98tZSCRYsKgJeoW1fYeJEvkt27qyCBZPHb+HgJ7+1V3fB6SpMY5oI8 MKeKtWvLIOOVKkuXVux84QWn6BX4PiHkPDQqdcNrtjUTEmcUclDGL1fumAiO YBRMn16AeH1PdNTcTOvjljzPnavqUi6eaOxY5SC0cO7zBuRhzREcCHHhJNq3 ZzPDXyUCmaHK7dqppGrrVkXmH72BeVCvBZaMpuFNDfJwtrFAJoVaDTHyF2+T z9CT4/joIwEng3g6Mnu69FJVBkYKScchb0DutVgOUlNkwSFU9ephLIdIDhwo 4VuQ0R31BmSaXglsL6WvXKioUiVsJZUrqzjtzTedQszv3oDcZa3EAEIKEhFG kWfhZAmZLd0mvQGZZK2EHL4BYK8E8BCjaQBsJ3C42fYYkG6LYMyKFYox2HOw lgNoN98suSpgluNxG3aCXhOs0bJlaleX2GGvCdIAKDpic9aU4Q3S+AgWQdgA rUKFY0I3MomslGZN2XEgcVJ7k14JjnXrlF11uBNyUqhbbpHYNOFJ+EGMeJnt WD3vJ58I2KXwMnOIqYMIkC47lCnjjTKjLcy3bRMIj1HmsnmAAikyTaRsNg9y vUEaqSGhvIVEACUKay3khtj0wlcbCHneIKhPOCnbC/f15JPK9pI1dGzvSSep TBb1BR00qwkqeYM1VK8GGx2Ie7t2tZxJiKPKHj0k6ni4hcdU9QZhkLUaYLp0 qSqWUM7nrAZJzfnnh2VOaoLq3mANtKRg/XpBoYWliSFTb+CCNQVGPKa2NwjX KggF779fUDB2bAHXGi3uI9hFZrZzZyH363qD0NdaA7iPzT2a1tZBqA+Ce6go jvreIPTWEGAVwY2rrmJHqKInfARIZftHj2omnOZt+qvUOZSN2OWSAQljNORp 9mxRsGsXVwHVwNO9wbiCfyqhgsAgPMFuL+WTGlYQmshlEYpx1cDG3mD00GRC TRSqgf2WjAyHEUgH4aZQuzZGtqk3CN00pTZsUC6d4mmHUpBVUnp+6ABFDUcl mnmD0VmvwlAKJqtp0zBxat1aiunThfj+e7WK5nEgsKvopOeNECIzL4pfWkQd ReB547mKjpomX32ljHik9CDfQPlOb36qga280aS9JT2Y5+mnVdoVKT3YaHWk 53xvMNpZdP/sMxXo5OY69EHgiSeGsFNHJOQxbb1BaKshoBaBHUhiY2FpJYRK C9tTnQDxmHbeIOglc5jRrx9XQBz6QPxpTYho1AC39tox5m5l0QeR99SpotBh h7gwBLmkBAf1Cx7T0RuEFhaEVauE7N07zLVRjsRFCPVpPQXhEm8QzNeyUTTC DnrDhuGyijoHnhwLc9CdvcE4W8NA6IRH+mwe5OWpusCOHXrubt7mbmpRCHqA bJKsqM0DeGU4f3IGPKaHNwiNLQjbt6uAkpJhKyviXALPrxkeXOENwhkaAuzQ 4sXq6QIrgyRTxwU7bUJ5zJXeIGjXxOYRFokSIIcDpMZsOtes0Rzo7W1u7VpZ Pnv25Kc9nLnr1pXQClhtNaCvt7lPsWiPgjKecCOjYCiD5+mQkSLxMRaofxwI bPnrWPOSdcT+nM1TEkpOEFBaNhTneeNZ/trWvEij4G+dzc4Q73LgqUNt+HnM QG8UqampjWAXzxKdfnohtbG1iV01h5NDvM2tI1Xs1RiKOHNT5sHb3Lt367mH eptbR9zsjxo0ECgPOnODLOS/UEdSA4Z7m7tShJQg3KSgVlNdpKZywVSo17cU 1Ud4g5BnQcDzOXgGiBJWK44S+fm8lelAGOkNQnkLAuW8/CycZektEjkQRnuD oMRW7TosXy5QMzJPoPH/qCGRJ+Sbx3qbWie6jB0yvUaNCpmLbbLhwzmRVwPG eZtbf3GDS4V4hI1yIWfuihVVePzLL3ru8d7mztFzU6rDD6vl5BTOTYrFJTXS VTXgb97mztbk3rRJ1U9hq8xmPYJiFLkMJyd4mzpTT42yMSqnenOdS+4Uw4a5 otuiT60eT/T/fVG3YpYqO4Wc6g7cWYsWjhhjfw4htXrLT2F4RzwM/X950w1D u/MoHkWbM0fI004LC/qREkHLDYaT4mPo4TOVhdtNKZqPu3YJruFhevyrWlVt IwO9MCod23DG0wcco5ND7WrggeLGjdUjaTbsu/2t38PHQ2ymgPJ2bWuaP+jH 8UMibmIY6+t4RYCR8Dfj/Pd1Cv+2nFtNNd48xfnl7+SYZAOD5JjkmGI5Jqkr yTHJMUldSY75vx+j4vnMWMk1368/IVKUL4hEz5JTj/vXQ9wyLvNhjGM+GRK3 XarbPO7fBPGZsdnT83Mqvj8OEnXG4/BFEDcGpmoGJvoZkGL4VVm3lNYsK9HP jRTDZSWaRSc/3Vz870t+jfu/jsufzVL2cw/jh3ZFfPJQ8fld9R4KyRtvvJE7 RXXp0gV2xpRIFy5cyKdzcnLQ1k/1SknDY+ZYGf/D5VAIz7aXV74+iF/RpQuX AqprUjZefcBgdi2HDh1Cs0BZoUIFpxVajx49xLx588TRo0dlnTp1TLMltODD AYhWY7JgMGhfUqeDPJm+pA18BlpCcUsuzJCdnc2xUO/evU2nPF0WNwCcZblC SHNW64pXmiGEkQVDCXU5h0drQjjEWLNmjezZsyd3VETLKvzfpEkTMX36dNNj bnY4rxo2bMgzZWVlgZTmcXuiIJ9GAEjOW+/xya5duzqnd+7caTiLWEyfBtPN Rgd8zPXXX2/IwO3jKSxiTObMmaM/QAfGpspevXrZK5HdunXT7E41zbEcQqhr GHciroVRAM3ngAZaX1LUyrDw1szq1auZEkShgGnNr+E4+Gk4KXqxl19+ubPY b7/91h4FOphRO9XjhtZlpofhvVYCdTlTPProo6Yxnrjzzju59yKOvXv3yiFD hsgOHToAZ80l+4XH3bt3OxKDfpWvvvqqDRN6AJHELd27d5fXXXed4Rr96izE 0ke0+zNcGzRokF42rw+ihtONGjUydwPxKHdjfr3ckDtIc/f69evt1ZstnK1b t8ozzjgD+y2OANAMKQnM6Ao/mymC9RkuWE3NOFjVFgWmKmI2Hta3b19IkgsX 5s6dywNbtWrFr7cxmso44Fi0aBFfJk7wXlalSpXMLlKuXgj2Wly4Aeyi0Nec 7tevn7n7wIED0e7G/BHciACZEkHS9PR0pFvWhpp46KGHeB/KcINhxJ0xEr7+ qiG0OMNmAVsFDMc2F9oxOnQIoqUn3iXjv56w6Z/Oo6+++moGira20Bk06iMC 69QwHTTimUlD+f769etzV0xcLToH6HQC2pM4B+A/cBptAOnI8DNJDKKnhRG9 Xr16PJxM/nybsKVY7/Ly8nhiTSx+X3MtOoMJwU0utXNCWsfXR4wYIceNG+cQ MBtZNBnrFStWSPsgDLSxDtpGPBCFvHGoHuPuxKkOz4jT5HP+eKqXKFGCh5Oj iaD6xx9/7MRD2jmDotxdGQe+f2KUZI/e1Sejz61mHaorF8kNd4sz1U1QpQsC SqGPM93DW1fq1XOZyqz+aZsBQVS2GELHjh21/UgTy5cvh4I4Iq61U0ejbBMR Wmzfvj2gxZ6cPYk9vHNxZgC/51+STyNg/cPFHu/eYjiJP55KzAuoWBYRCv6R tw9zrkHTyxpBojHmyBI4MN2xYwfH9cbwC6dOGERbWnHffarrSll33BMw2X8U zVElwukLL7zwuNFc3c1VqWgxDj9woXltrx7Rrvb4mvwb+T/z0uxPJjDi9u4O CmkIS2X//v2doDfsclBMnDgRTeujMmH//v0GDdSIDVkpDPgTmMDY4XTp0qVh aO1gD/rcokULMXnyZD9zp0XezS9Pi8JwHwdWbHhEKzY8Erfffrvxx/ZyTepV qCI2j0yAibX8rh5tN6hACwytKBs2cadZFxwzcRehI06X0euy4+oJEyYYTJYs WeKcnjJlipnk119/dWNTxGl/bEI4Z6KMBQsW2GyaNWuWsSZx5kYP+yhsstIE 7ljgXFbpAlZsLk/BW9WaTfv27ZO5ubk8ow6IDA6wTyZuoiFh7ApxVGUUjtIF QyukH4ZWlnrqHBodp6GqqmhUirWWsj2+m0yhbN68uQTyuobLqZMJ7JB04CV+ YE0BPIyOckFsmqU+eBgut2vXzmTfEZe194rHMiXeqIkAM/SfXoF2jXTgGwCa Zshqo/BMNx5gxpiSiQagzXuOn/XbCL7zzjvsimrVqiXWrVvHpQDoo0kTkMYd Pnw4XNEc52W0Fkuz2A6cqlSpwrjOmzfPljFUoexiVml8rUBZxdGjR3MP9Ro1 aqCGxKjg0T7Ua9AkBUUifIsCrmINOnNp+du4cSNnndiPI3GCoNkVDLfr3vRP nc7gfBWsAIJgHvw0PuDwyCOPQJZjM5G7omPvCx8QoCVZTMz2unTbwaH/P7JF 9HZHtQtBTOPGjVlDj6i3ETTzWHrLeVp5jvvd7xX7CY3RWLp0KRNOh3RLo8CJ X6DJiX338OHD+W6EvlHgHDx4kL+oECEW5rSt2znuQ8yili1bxhpI8UYUYPxF AUhChCExp12ARQ6JwhIWTTLFsGpW4GRORZDKvmRPGKdOHjjhP9hcbn4=\ \>"]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[Cell[BoxData[ FormBox[ RowBox[{"Superposition", " ", "of", " ", "NullClines"}], TraditionalForm]]]], "Section", CellChangeTimes->{{3.406361911712035*^9, 3.406361989219633*^9}, { 3.406362033712138*^9, 3.406362089949944*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CWNullClinesCombined", "=", RowBox[{"Show", "[", RowBox[{ RowBox[{"{", RowBox[{"CNullCline", ",", " ", "WNullCline"}], "}"}], ",", RowBox[{"PlotLabel", "\[Rule]", " ", RowBox[{"(", RowBox[{"Style", "[", RowBox[{ RowBox[{ "\"\<[\!\(\*SuperscriptBox[\(Ca\), \ \(\(2\)\(+\)\)]\)\!\(\*SubscriptBox[\(]\), \(i\)]\)\>\"", "<>", "\"\<- and \>\"", "<>", "\"\\"", "<>", "\"\<-nullclines\>\""}], ",", "Large"}], "]"}], ")"}]}], ",", " ", RowBox[{"FrameLabel", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"Style", "[", RowBox[{ "\"\<[\!\(\*SuperscriptBox[\(Ca\), \ \(\(2\)\(+\)\)]\)\!\(\*SubscriptBox[\(]\), \(i\)]\)\>\"", ",", "Large"}], "]"}], ",", RowBox[{"Style", "[", " ", RowBox[{"\"\\"", ",", "Large"}], "]"}]}], "}"}]}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"500", ",", "500"}], "}"}]}]}], "]"}]}]], "Input", CellChangeTimes->{{3.406305282526741*^9, 3.406305296566756*^9}, { 3.406305499380537*^9, 3.406305526575931*^9}, {3.406305588313107*^9, 3.406305774782459*^9}, {3.406305887199783*^9, 3.40630592871472*^9}, { 3.406305975809954*^9, 3.406305976020852*^9}, {3.406306053626823*^9, 3.406306061883269*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxFWAk41F8XpkULFVKoKFt7pJ3kTcqu1VJUpEWFipJEycxYQ1kSRSkmW0Ih 2WVNyNZCK1lmYxZ8CvGNaZr/feZ5PK87v7lnee97zvkp2J3ff3KSkJBQsLCQ 0MRf2iXnyDR5bwjxVylUdpz39kbgfruptQPbkPO/FVcn8Ozl479yhX2wu6qS h+fbsOfZsH2g5nDBcwIPxC9fO7XdF/RXoVOcubiLvmggyP0OfkbUT3MWfP8O HCRVZk3gNbFx69TPREJShbDRlYsv+zl6L9aIA+3U2rgcrj17p7lyP3FwNLlj MLE/GFEuy8yIg322+bFrXKyk7Jrnnk3Gx62sSWXy/36fjLHiBcSJ/S/zTex3 rnkC/6VXvgRy8adYg5vv1VOhMRx47iP3+59znLifVKQGLZa4yd2fNla5MCo5 FYlbL4484GJb5elpspYZ8NG61DUosCcDPY0r9R9y94m2vpSBsAyMLBuXzOfi nBfelYbzXiDogPXZJYu9sZ63XuDUe5b7xP5V8sXbi/a9gFnU/Cs/uLg1ctMu j+ZsrNHYJXRo8T/7s7F+e2rKIy5+maQcQCPkCrCGk+bpVV9yYeLzwGl08T/7 82GwlGXqsMQbtUxSsO14oQCnv2/qO3GwCJp6R/exlvyzvwQN3RXXgxW84bRr ZS+7sFSApQevRRrQSnEGcu6DJ5359pdhmuFXdxklb+itCzy/1bNcgCfZ3mu1 SCpHVtPaFcvOOPPtr0Bwz6yGHU7OCOtkr02NqhRgG3WnkrOVNTijurTzlIsz 3/63SFWXcX9+xRm5W34VX5hXK8B2lWpHVyo0QPSQyaldN5z59jdgp8trl+0B ztDRm/Rq/Zv/8I4Bco3I9ya4L7jlWxH+z/5mnPjwpGPooTO2+LWSa/3+wxKi xvEVMe9x4WGuzWjaP/vfY+2eKdm/C7n2b7cI9df7IMDXko2uHbP6hHw5k2qZ Bmf8Dkz/FZj+CYoa26b7dDqDfG2bm9PUVgFeW/79cIv0Z0i+GmhyHHHGF56/ n/G16wFNeJ4LKjqbpQnl/+EPWRXe0u+/YtrXe8Pu6i4o7lhV1LHqGyylJNbO 2ecCs/pdmvXE/7CfxOkwCcMfcAgPoQpdcsE+Xnx+QMpOmBBxzwXxM9O80x79 h1myMeJuie0YSjivNb/CBTvkWnTkWtpByBKybOt3gZWPdla0cIcAL3pbXZIz 9SdEbbxNtZddxAZePH9C7kFZ/pg8AUcl9tuqBv6HJ/0oG3t98yc6VgaZp9hc xJqiCQd+IttQq61Ui4AyyaoNBpqdAhw6kLawmIs7Ds9WCI+9iKWGYcqGYZ3Y aN1efnwv9/c2DH2kUztR6i67ypeLz5UNz15H68TnJ+pDHu0XIT9hvk4Xsh7P rzQ6QsCMIM2OLdFdqDl44tZzLj62R0V3lIuptgF1XicIkObltwvy+rTx6w4E 5OdOS/My6Eaw6vdubUcCygdSxesMu7HDt2N71EUCxGlxs2lx3VCiUXaqeBCg bfTQr3ioG+FjstJmntzz7n3ZSv7dja0ee9x0SQRMnwj/3h6EPujaeDqIgJbM 4+ShJz14UqdfoxBCQEadd7JPcg881M/MH9VwhTBPbSnQo/244v6QgFHGFJll FhRMnn2L/v0RAbsMppw6f4iCM0IZGnKpBAzz+EbB+QX228OzCGjrX1FtMpWK xo6SOUtzCLjMuyBUsL7Pu9nwkgBbq+vPjs+g4nNE4JbqUgL6500EgAq3zT+1 ht8S4Bkq52ifRUUX3JVn1xNwgXchqdAnupvsaCAgtsx+9PgrKkTuFupM/kwA YyIcs2louSC2UKibgDWs9x6ux2mIKTa8HU4nQG5TmZTLGRpus8+e1V7vhs4J +hbRcLohpERkMhFWMxwUXCXpoJs8id00kwhFI9lFt2XpaFRt3F40n4ivvPtB h5FlXBBJiQj7i2nKJ0rpOPS6eM7QMu7znhWWnhV0rFjPUHu5mgiRm0syS97Q UebUl7Vdk4gPE3SQY6Dy04jQTAMilPVH3uECA4evDmo+NyViP+9+MBDlHTJS eoCIlLwW8WlXGTD123nspB0R9bUTiwGdd2U5okQi7sum+6c3MbD8c98PozAi vl2WOHpKvhfVvaNT3K4QYTRBV+VeVFlP3nn8HhG9X57O6VrZC9Uq17eSKUT0 9ZzJeuXaC614h9hpt4mospxwoBdTT+gS5V4QsUprwzYFIhf7XfmkXUbEQ5G9 R0TqevGZE9KwNZmInbz72Yvon2ZrLOuIECtQvH/icy8WF9R60b8SQd0s32Cs 3IeOeh2VbeVElPD0og/ZUbUb11KJyDv04XX6+j645evZbRnm+vdismuARx8S tqm3abYToZVE1Ewi9kEnIn5HrQgJeSUONpOD+qB7TLPQQIaEkQVtj4ua+mBa 94Z2VoiEXJ589WGG2BaNA0tJSF54fK1tZx9unbTk6G4hQc08Ooa2ggmVJuHd oookvl4w4XdZr4utT0JhUKlYlRYTFc7qyy2sSBCdYh4i5s0EZ//w6x47EjJ/ TRCciZr+mOI2BxKOsWu6t9xhwmXg4/TM6yQYpCQHKH1iIlZ60LbSiQRVnr4w cSev9rNeGAkn3l1uyOllItluFzmITMKs6wXb70qzQCgcfxwRRcJ7Hj9Y0LKQ EnHLJ+HF4VNCCkosKH7Z6rv8HQk6EqcU5+uyEJws/gpVJIRPpNeQhcxZB+Sy e0i4dX5tr9MeFpSyCIO1IyTYZBwoCD7HQr5jc6rpMImvvyxU6+nmmkv7YNvv mN+vPViYvzcquHaVDxIrdhn8iWbBnr1/5Mg6H76+sNB+omFFnpEPdlZjjkIS C1nC8xV9bXyg2P6k43gFCz3mh3+pXfDh85OFTTm3x/YTfLBacrNWQAsLBTse yNjf9cFXTyqphMXCEYNUudQsHwRNyMUvFiQKuubFF/lg1cC9vFEhNt5sqN3X 1+yDQOWgMYlFbERMXr3ClerD5zMbJRtGSLpCvvh4ofG35xo2ZohL1abP80Wz lQ3DQp8N8fpkXSMLX77esZFXqU2g6PtiYPmRFFErNlZvl9I4dMQXpHiftGAX Npxfyjh45fiiksd/Ng4uVEi3j/TFtfKB2hRfNmYFHWp6meoLzvdL5lmxbPzU 9wvLVPIDSXOCoGw0jO7ZXMLwRZG0cOXhF2yMk9o/Fgv7obTjd3R1NRvHZFh5 5Dg/fj1jw4yxx0nFxA/mw1Juyj/YePhkvmmkrR9GdrXmV/Vz9/tFFIfX+vP7 XQ5OR6W1iOX4wdPyoe3UWRx8qveuin3jB06w5Oln8hyENlOsb7T6g0e3VRy8 cbUe2r7aHwtc5d9N1uTgvOeiG37a/tCtoYZcMeRguaTigeq4APDkypIDkbch YiMZ/iA7Zsio2HMwyeWw/dlSf7zQI61WuMTBkYtpGmO3AsFzl8gBwyDLW0Q/ AKFfrDnnIzjY8+3u5w6zADyyrx199IADk+E7/tZZN8G7LukcOO2pUe5nB6Ai 2JXCKOXgeFm6CEYDoLFzSLy/mgM/28g1GWaB+Nt+cM9LLvQ4khOIUrq2WCKT A8fi/euK8gNhr+G3eWY/B80qDaqyKjdxiVdP+vl92k1s9dTNXzGvHwb3xzwK a28iw2tj+ZFF/RAK51SvWB6E66aWu4UX92NIwoR9OzmY33/1o/TjyGObW+EC 7B0o8yJZJAIZe9SyPq3sR5f9oo8jLRHIdZc3Dpjbj8tKAREirHDB+eb5bfes RyNhMXhW5Q+bAzfTVwurRO/iWszFSW4sDuwzk162Rd0V+Lfv9xWi/9QoDH6o 1577loPkAjV/u9QofFkAqzcFHKxUIC93k4wWxI+82Cww7Wg0Ai4fWZdM5sYz UzFsq+x9mIlfK9zmw8EH0+vav5bdF+SHFpN4GOvuQ7mo4E0ggcOPz31QYuJY o9c5qHj5rITMvM//Pzfeqif71c/HIO9dzYnowxzcGqL2VifFCPjRlxCj7z4p Fo7StHjVvVx8PWPh7vexMFZaE+G0mQM97+LcmORYAf90Cq4UHPN4CG0pK5aT DAdrMiw9fyY8hPubszO0pDggyWzbyzr4UMBvudUyl21vxsGzzJJswGSja19a xM2eOAyWWry1aWcjITXvfW99nOD+MOcUiMw7+AgdTWOSc9+ywZMFw8d48uh/ XltT2RjK5SwLNX+M9tGdbzK59zNF6sGuXRaPBff1BTmnROfoYzz1oTWeT2Tj 0Yi+6jX5eHz0YnZakthouhqutmJNvEAPmApOGbfq4/H0RKlVoRMb94UjZ+bK JIBu0Wz98Rgb30LTdMqRINCba1HbNxyUJONDa+zUfeDiQbNibT8yxs+IiJmp s2GQ0fSnJYUs0LO/vHiCPRZXq2dPZyPm27OT/WqJGNmUN9A2woJsks7vRO1E gV4ObNUvzvNPRMPHxDY1Dlc/L2nPstJNgqjcTHGTNhZMJZN27GtMEuixAe+c ZIzeycutK2fhx+St5Tvck5HpZeYyPY/7vPg6XWZHMnKXKrFfprNwYta+r8ZI Eei/XgJNXz45BeXjxgWB3Prwby7Njc+nZPizcOvoopfy/akQjjCeNP0qC91P DP8slH0qqDdmjMicbcVPkeMRP9vmNAt5rGgVC8M0cKLdbg5bseA5QL4m25km qGeX9pU8OpjwDOcGDsks1GLxeZKB9GeShukK3HqWskvllHSGoF6GkVbrMNdl wEjeqeO8LAvNb4QX5dZkQHO3tnG4EAsquQdUVi7JFNTjVpd5ZQa3M7H4z73o yVVMPn+e46ukbi8hkomnkTfMTO2e4/TPp7VFIUzoZb23lDz3XFD/jw7fU9+W 9BxTvUTHsjyZoCp9rBngztELX3hMd7Rggtt+eIhlvBD0FyscG602imUhKbXg 0fzFTPCOC8vC9BttD8WFmdBPpnoQ+7JQaD6oq0vtwwHH/sp7StmCfmZtrNuG 1a3ZSNCRzcjI6gOlvHvehis5CCmd7R4Yxu2HGnVUa3NzBP3S6ILFnxZV50Bz krfX6xt9fH7lQH71XNL8a33wtKiz2P7qJSRW3y5YbsrFWkzpS2a5gv7sL19e Yb+UY1TF1D6s0P5Vvy/zFcTcTEc1qL1Y4rTS1WJhnqD/+zfnO/puf94Z1Yun 7Y4ulaX5qNtckN3v34uAK8ajf6YWCPrLc7wHChHVTAhz3NAL40sKItY9hXA4 LBz3aVUvhEwHZ1RLFAn617/5L4HugbTY8Q8MpPasUtsoXgLviqUhyY0MjJC/ h99YXCLoj3nhVS7FK5d4hWdeDJR/ylNbtqkUbose3zHl9tONR6LVJAxKBf32 3/y/RlJ1QFXDGgZUdNISSSdf47RR/qwKFQYoOCRZSXot6N//+lsGqc7t8awf dEytJ4ZXxZThRs7JwXvNdH5+y7GR7PVTLYoOyqRZLUPfyqHuLymeS6KjUzXC bNGOCsE88b1vhpzvqkqcSfGwZW+h8/NViRSR3SmbpOi4NXe9+1xiFUR3kje5 sWgQSRZ6kO9TLZhfzm7eZ7u3uxqPbxsTr6fS+Pl7gw3mdFpNHA2cm8ZF66Vr EHV1XesxVxrf3xp8m0cVX+xIg/uw+2CzWQ2GxQYberjzkeQZifoZZ2tw+tTE ogneg1xvsNxjpUlD6eaFifo1b6HePth/ciUNY3vFUh4SagXz11//a+Ek4di4 QYyGX0yFS0dN6+AZPOIw0kfl578OG/dlzwz+QUVEwpScDU31qJIuz3vIned2 TclofPatHqffrzj8/iWVn/8GLNjS/Sc0lIpZ+91CZ35uEMyLI6qt5dZzGrEq ceyR9X4qP/+N6E9QDLHcTYWE9vO7ESaNMJg385aUPpXvfxNaA3rTneZSESzu yH5d1YQjXSujiCMUXH469rH2agtGKS2HHhdS+P60IK9Mb2nOKwo6nSKzCXEt mPbImDo3l4K5kUVPX/2vRTD/LpS0C3MP/YDY3uj0VUQKP58f0OosW3/9GgWF Y280/7f5I14L5X2ZeoWCZ9+OJ+x+/Aln9z+2sztG4eevFTuHOOeY3Pm6/W5j jGZWKxzM2lcf4mKTc+Uz+1raIPrb0OD7AQra+O9tPj5z/nWbi2vWLckcnvQF Z2d9+zZiTsH3Rc4qlau/gizDOJV5mAJHXvy/IjhdcsoyGwqi3fudqlW/4UoY +2ikPQVVrYVHTTK+Q+ySwttcLwrGxifWd1iqD7nq+FCw5ME50lv5H9CoW1kS GUiBR0Vzf3HzD4H/snWSdomy7Rj/Wt6WUPDPn3YM+loZixdTEH/4f/ZSG9tR f+3bXqsyCmwPnr25Y2YHNr7wuyfEjX8oL+AdqJ7a1vVElAqiZ/hu0ssOUK0e t/1ZT4XJVQ/WLWYHyM0O3xl6VL7/P2FlWrJuxUUqXim9MaO9/YkfL50ORsZS YVQXfX7crRMUsvTOeUwqlPjvcer3KM55PUwFm3pnY3psJ6z1Zmr1C9GQ8csh 3Si7U8BnmX69X7fsuyAvX61b7UTjx68L44Fe1ufv07DiheKe+cu6EW7KqJ3R Q8MX0X3Vd99348mlCKWcU3Rk89LTjXfbHvj0nKXj6mm9uq9fulFo0bv0jwMd PSEt6Q3fugV64K06RBoK7MGlLonzy4bpuAwjckB6j0B//uajB9bJ4qoNp7h6 V9HecESNgkt6yk2D4QyIGeakN3F59E8P92w7ccqghoJfJ29cVtHohT4vH1Qs 94xarRTfC/FQp4hP1lTEGLUcD+Hq+580qptjAFVQDy4XFBkt6KTiqc0WfUVy H27z8kPDKoPHkjo6TGjI3muecpwGE5EjEXQHJnq0FN/JXqQJ6uW0mYXmY29p 0NTQFhqfy0KR9pbxzE80TDr6PKlLngVhQ58KM1W6oF8IaUpzs9Knw/j27iDR IBZa+XFh9Dll/slm4bfJrsS+p3Q8eDBjUsIYC1dCUlfLVdMF/dT/ekUnL53B wAk119ttl9k4MHPVgytSDIQP2SnH+bOxbjjWgWTAEPSTB++bdybYMGC+v6Le i8OGIo8fDOhvHsyQ2MVBiQdZKTSNgSSL1BbDixxYuU3Km5XNEPTbUc2Kh26X M7h5S+xvesTBk1PnRN0GGZifb7Ajc4iDbEb7d1WJXsF88X8RFkWM "], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], TagBox[ TooltipBox[ LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 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, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198}], RowBox[{ RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"1.2`", " ", SuperscriptBox["c", "2"]}], RowBox[{ RowBox[{"0.0225`", "\[InvisibleSpace]"}], "+", SuperscriptBox["c", "2"]}]]}], "+", RowBox[{ RowBox[{"(", RowBox[{"1", "-", "c"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"0.004`", "\[InvisibleSpace]"}], "+", FractionBox[ RowBox[{"13.3984375`", " ", SuperscriptBox["c", "3"], " ", SuperscriptBox["w", "3"]}], SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"0.2`", "\[InvisibleSpace]"}], "+", "c"}], ")"}], "3"]]}], ")"}]}]}], "\[Equal]", "0"}]], Annotation[#, (-1.2) $CellContext`c^2/( 0.0225 + $CellContext`c^2) + (1 - $CellContext`c) (0.004 + 13.3984375 $CellContext`c^3 ( 0.2 + $CellContext`c)^(-3) $CellContext`w^3) == 0, "Tooltip"]& ], TagBox[ TooltipBox[ LineBox[{199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397}], RowBox[{ RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"1.2`", " ", SuperscriptBox["c", "2"]}], RowBox[{ RowBox[{"0.0225`", "\[InvisibleSpace]"}], "+", SuperscriptBox["c", "2"]}]]}], "+", RowBox[{ RowBox[{"(", RowBox[{"1", "-", "c"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"0.004`", "\[InvisibleSpace]"}], "+", FractionBox[ RowBox[{"13.3984375`", " ", SuperscriptBox["c", "3"], " ", SuperscriptBox["w", "3"]}], SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"0.2`", "\[InvisibleSpace]"}], "+", "c"}], ")"}], "3"]]}], ")"}]}]}], "\[Equal]", "0"}]], Annotation[#, (-1.2) $CellContext`c^2/( 0.0225 + $CellContext`c^2) + (1 - $CellContext`c) (0.004 + 13.3984375 $CellContext`c^3 ( 0.2 + $CellContext`c)^(-3) $CellContext`w^3) == 0, "Tooltip"]& ]}}], GraphicsComplexBox[CompressedData[" 1:eJw1lXk01GsYx5UbSjuhmxRRdjmluqFvqa5oQUrLsRwcylbcUl3cIg5ztDAS N6a0SUdRKUrCCM0UKUTWbPP7zcxvtrRoSOY209znPO95/3nP+3yfz3O+72sY cHhn0GQVFRX/n0u+/4qPiNUudh6I4cCxShaQJpHAfozedP4kBztvTnfozZFg qUuGsUsGB9ZU7m9nx8RI/DC39OpjDsoiun+mGNtn9+SYV3PAWmHmTr8rRm/N pNakVxx8bnu9I0hNjIBZA0EVwxyEyY+XiaA2b5f7hikEXjmxykPWiRC/Qi+r 2YiArYeWnYeWCGvKX1xZZEXASFFXCB12CbV6O4FVV+j+Y4uFYPtWSoNDCNT3 /PWF3yhAwMTjOsNTBDoVggSwiz4pMswmoKZlaJphIwCpYpPfeItAwybWVOe9 FBhhzHK7PgLpxvICFKjM12KtIQKu0oainaBQO7IsNIsgYHmtMmlkLgVdv+F5 fsMEwhX6+ciOOVfUPpVEbMWDEJYbH7t9VkauMSHhLJdrzMdjjQOFS2xJrLDU a6P38TAOlUOWm0hENUeGefnz8I55YrlVMIkJmTy40D2YoHMwgQS/5Vy91lEu aB1WNWdvk2g8si7CNZCLlLVHLMOLSJQqeJO4MWlrzGgriV1ebQa0FBLf98ZR LAEJNcbKC1aDBBKXeXad0Ocq9RKQaYYkD5tyUez9/f02BgHj2VOfZi3nokqa HHrDloBGtLt6tDsXS5Rz9py4djgsnouD1V5PDnhz4PZ7g9FCOhd30FjQxx6C Kllj01nJRZeC9xDUnUSaSV1cLIjrrp4xMAjtD43TmGo8nEz92JvbPIjNheRl tiYPdAXvQRxLNPu0bzUPZf6RQ+pjA2CuPcHMdechjWmUQ1s/gOkizo/xczxs UfAcAGvkOWNGNg9i3aMaCdoDOO8bPWcjg4eMP9NuL+7ux1jqPWnqPR4U12f0 w6LrkNsUNg9vMjieH236wXxXUzuHz1Py7sOYHiOtZpQHkyraRL1HH+4TtZba eny8MOiOiL/0Admkb0bKar6SXy8KRi8m5PjxcTzX7+mZth6cjZmhF5XCx31Z Q+M3rR6siXbY11/IV/LoRvFSw9RqNh/60q8OOtrd6M+8YNzVwYdxXk2c2udO CK/OpH4mWqYIcXh3J6Y/FLp+sqCU/XYCpjs899tRaDC4mZda34HL276eznem YFjguMHk0ntYprtERsdTSv+1gxXMcc/Op2BakXXzvU87OBZVgxZVFFBpbi/u awN7fmjd23YK8+0DY78EtsG12quAL6GUvN7hj2K9H/nzBRiS/eugbfYOZXs0 F2ZbC6BoP6IVOoFjxRa7BQiykRuiBb1Kn7WFza6KjG5Bi3bJV1eaAAr5Li3Q L6cvKKcL4L9XhbtI2Ax/2+Do5HwB0u+mObnVvcXrJB/V+CEBfr0/bzHATFBV nynEF0ubWLZlE4jP+89cXy/EZOPTtbRHjTg210q9JlSo1NMA9dwnwy/PCyF8 qLMkvf0VRFu3BRzNE6KD3z5+f8tLNDXKQ4gm760dx5NZoGVeu6GvIlLyegG+ ycPA9doibChMtvL3rEeU+gqzUCcRQk3DSaFDHbwfOc5/FiCCxf7Ds0IP1IK1 J65+T5xI2d9zjNNb44quiFBv5bJqUMqEW4lUYzJLBFWZnoXBxQowB+UDEOPO NJ3BtX9XYNEz308MK7FSfwVOxS04vs9aDNPSf7zneVRg0tAbc+vlYuiyR+kz p5UixtozKu+iWFmvBHT9kcUZtWL4ZDK+fdtVBNqwr0wqEyPL3COxLeIWHKUb Q8PsJcrz15F8ui/kjq8EERocouXeVXwfZzzfHC5BVppbt35ADh5I5YaR4P8f QGELmQT/AbvwJMo= "], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], TagBox[ TooltipBox[ LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 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, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97}], RowBox[{ RowBox[{"0.2`", " ", RowBox[{"(", RowBox[{ RowBox[{"1.7777777777777777`", "\[InvisibleSpace]"}], "+", "c"}], ")"}], " ", RowBox[{"(", RowBox[{ FractionBox["1.7777777777777777`", RowBox[{ RowBox[{"1.7777777777777777`", "\[InvisibleSpace]"}], "+", "c"}]], "-", "w"}], ")"}]}], "\[Equal]", "0"}]], Annotation[#, 0.2 (1.7777777777777777` + $CellContext`c) ( 1.7777777777777777`/( 1.7777777777777777` + $CellContext`c) - $CellContext`w) == 0, "Tooltip"]& ]}}]}, AspectRatio->1, Frame->True, FrameLabel->{ FormBox[ StyleBox[ "\"[\\!\\(\\*SuperscriptBox[\\(Ca\\), \ \\(\\(2\\)\\(+\\)\\)]\\)\\!\\(\\*SubscriptBox[\\(]\\), \\(i\\)]\\)\"", Large, StripOnInput -> False], TraditionalForm], FormBox[ StyleBox["\"w\"", Large, StripOnInput -> False], TraditionalForm]}, ImageSize->{500, 500}, PlotLabel->FormBox[ StyleBox[ "\"[\\!\\(\\*SuperscriptBox[\\(Ca\\), \ \\(\\(2\\)\\(+\\)\\)]\\)\\!\\(\\*SubscriptBox[\\(]\\), \\(i\\)]\\)- and \ w-nullclines\"", Large, StripOnInput -> False], TraditionalForm], PlotRange->{{0, 1}, {0, 1.2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.406373281517148*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXQncldPWP73nvENpQirRXDRICIUGEpmnkMpcQnKjaDC7ZlKGykwkRZe4 GZKEco3daCC6PpXK0EQqhZ79fOu/1l7P2ed03jM85/Dluz2/3/vW+wx7rb32 2mvaa699/HlXXHTBpeddcXHv8xp0HXjeZRdd3HtQgyMHDKRb0QqRSIUN+GkQ wf/9SER/8bURv+wf2fz/QP5/sbnlllv8kpIS//LLLzerV682dEWmyXs/4Z8i v3r16pGYv/POO/v169f3GzRoYGbOnHkAv1Jinn/+edziRzvuuCNe9hs1ahST 1v1Bgwb5FSpUMJ9//rm54YYbzJYtWxJap4bpMRAw//nPfwD8YL4dNbNnz+ZH NWrUiNjWzAsvvMCtPfbYY+bTTz81H3zwQWJrUf2E/zrENkVXUlNRdNUvKiry zz///Mj03Jootu/tu+++/h577MF/vVF+E6X8uzKaMHPmzPGHDRvmd+zY0a9T p46/yy678HtVq1b1W7Vq5Z977rlm3Lhx5ueffy6yn3meZ+69914Q1Y9Go36L Fi38Cy64wHzyySf+4MGDeezKysrQpBkxYkSdchGOYYiZfN9++y2ep6GcfFHK OK9cudI/+eST+fluu+1mRo8ebb777rtIEbNKmfnxxx/No48+6teuXZvfIQ4w P/3ErZpRo0YV4WYkZsaPH899IeDAVW5H/aZNm5rNmzdzW2lwNy+++CLjPmnS pKxwLzFr1qxhYuFZ27ZtlbmFASpx15YsWYIuccPEfjwvCCH+pH379nilyMJX dsTPOeecs3saVAEYrHXZZZdlhWrM79WrF9+nCWRWrFhRxrfLgj5/+OGHjBqG H6/17t3bRe3XX38NULvooovSoUbTz2/cuLG///77Z0BNp9y8efN8K2jMzTff LGNu8aPh9Js3b25effVVxg8cjTaOOeYYFz9FJA1+Co0mtX/KKaf4TZo08UtL S826devSTXCVMkOHDg2QXL58uYNkRQZz/fXXY1oxSz744IPcBo2Qeeqpp9AJ YWXlSELRt1dKjiy193755Rfz22+/8V+vZ8Ix6h900EF8nwgWqepML8zjAQMG 8PRp166defbZZ83vv/8eyRUdmqZm48aN2aIDcY77RO1IdUt9XNQj89prr/nd unXzW7dunSsaLNFo/LNFQ1maJFrEPjEff/xxJn5RaB06dPBPOumkbKEVFxfz /T59+tgxiIE3/B122MHv16+fy7SYKRmQmJUZoBUukJ8BQKIq36tSpYpZu3at Aly6dGkA8KqrrgoJEKTH/T333NMCrGRmzZoVDDcNK5QLRC7ECN8jqkAxhYJY bO6///5g7n3zzTc89ypbyLh++OEHc+ONN0IE+zVr1kS3uQ0IiXfeeSdO8yir BoCAUVPMv6PQjJgOFgF57+uvv2Y7A39VDIc1EZ7NFYjXv//974x1baepNm3a +NWqVaP3mzVrRm1AzxOvmvnz5wcmRB5oqDxWYUSgQLwy2wpGR1+tYl/F9dJL L7HC3LRpkyIBfUjmUHj6iAEWi8UgiSANpeUSlu79+/fnx2TqQOejlRLbIFGN H+GvahZ83759/b/97W9xZIpYvPInwCr4IQMSIxvDHySjMfDOxX2FrTBjxoyU SMeYOarz6E2bNm2r78hE4dElfoNNhLnF91XAQcKQ4Vfkcyt+oEVPPPFE/+qr r8a7PEJRtn2ZCdW0iUStPYx3FS7pkZjlVzts3Og7grKoCDEASaGZRx55xD/t tNOYp2rVqhXMirp16/qdO3fG7IdlW92OAy4wRI8ePfzTTz8dtpU7Du5gfyIA Gfqutl+YPD179mS+WbBgQXafCVTScH7Lli3RJ7XOU/G++/luFipZe0wxIJzD Z8Rj/BlpEfcz3O7evftWn+3izI0777zT32uvvVwZDu2M1iBD6Po89ZfgBOYk MnWShfGBBx6Y+kuRbeTVYOr6Xbt2xZzk1q655hpuDfZu0qe1LG0XLlwIwrAm 2G+//WD5m7Fjx37hvJqrN1fg/x/H/5RxJ7/44gsW3vg58sgj2Y4moQ4VI+Qq TvVKpBM/2yFTEwyVtD/GjoyNQw89lCYRyVx1ISId+XdpujZU8DHtYdc9+eST Fn7WXYBnRlYxzH42w8gStU1UzYQ+g3jmmWfQBf4e1vX7778vn5dCojBH3Hrr rebxxx/nTxTzdBSstdVY+IcffjgULv//4osvZqed/C/YQLalVK+4Y5GuCcZs 0aJFuG/du6hZtWoVVJM7FunaCJQQ5gb8UvzVKbcugH7//Oc/ma7wLGk8dCwy og+2IbDmo48+4u8hbGl+dbJYffbZZ/wYfRNwFd3P+UpFwYSxKDHr169nc8A6 G2wxE9NG0z/ulP6xSjt0nbQW/3Vo+k+K7GPo6kMOOQTTBzKL3U/6fwaAii4c VjAoVCMueGGkkDpm9/VXX33Fj1XB4uuddtpJKW75gClenL7FJCLDIwdaZIrz W3PnzvUrV64cTf+4U/rHQmRRGRMnTvQHDhwIFZnhq6j96u6774aDrp06NDtM v/zyS348depUHim4HDTRO2b3NRQ4gm6TJ0/mxwijkfGVjr7ltJhEX0XLfYuG PRnrpMed0j9m+6IIkakMLypJN2zYYIYPH55M0gzILV68mB9jCI866ij/sMMO g/7umN3XuBBcgV3XqFEjCBncSkfSclpMIim5VqyAXMZu0aJFNP3jTukfq8mG EJQaTx2zAShcPmHCBDakHeJmQBN2E7xTmtn8GPE5khFZwSxhq7Fhw4YIrjGR GzdunIm45bSYRFzIY4yzymaEJK644goNAqV4FOmU/lNBudg88cQT8F0Y9iuv vAK33Ure1M265MX0REjXIW8GRPEnvAxc9913HyJDFtF00ErYKAWVaCjM22+/ DZ/eJayr2krSNLc1VXlMDjjgACha9svJO1ZHOcUjl6qpnitVoVagVxH5gkVH c1WpmrJZG1dn5zDRcsiIJblV7ORAB2JCk6xUkqYE5QgCf8iQIRx7J08H1oJD Ug6YV6pUySVpyuYsSfHbn2t7Yd00/quh8zyD5X2sL/9GIqPwq6ZzNxKNr/YA +xT3qudxb8f/o2+3JVwK3Y/iFPckrLN9SP8C324f0m0Sl21wSI/5E+7liCb/ vqf8b2ShPa8YT1F+YMOGM1KB1dA52WPG2HAFP7klEyphvflUWMi6VAxY+GSQ +GRUGGOD21kgEs7jZUSK0a4uKxisA7Zs6dPbhtwGhnVj8FbNRKDh3MA0Y+D7 xx0noKdMyXoMwnlOhcYihIuRFQozZ+aCQq72eKGokEqK/GHtvPlmYdqZOnXb 6NfRR0s7778fqp1AciDsXbu2tDV37jZF6pAkCrqGZImmTROkUliUjjxSm/lz uxbDE80+8Dt3TsTiJvyKOjI2LTm2bPF9rCAUcKTzmwzGHHWUMXm0oz6ywTIs aU2/uBivet7TT+eHF7Ls0M5rr+XXzrHHFmayK/uFnOwOnZJnxbYlFPNthxQV t/PFF/m1s/fe0s7ChYVpZ+7cwrSzYMGf206i+EnuTVbiZ5unRaHw2db6tZ0+ f41+tWqVl6xJkO0LFyJr1/dLSw05tnm0J5kq/tlnAzefPGF+eGvIppDqDNVc s6YxX3+dVVMseQL/cuJEwQM50pIC69+MX5mET4ABPlLbZ+zY8J2xdEYTwGfP PdF0YXRy3bqC3tKl+bf32WdxPli5Mn8+6NVL+tuvX3jSxeBnClp77KExk9BN ARPc33tvXfXIu6lWrfJriuy9p58WOvXqJQ9v++9rR+IKYfKwit08LGmMrrL8 cMgx/6jYzT8qAA45Jd/ECjoEuaakcOiLA3ax8mDeFLySXUwvnpwRLXDXckhd SBWtygd0OTG7dGv7WfW+b99cUMh1IbxQKPyp4mZbw2d7O9vbydJoTfE1G2DZ Wax/wBzY1ubStobP9na2t/NX4ufUskaxCCdr/qq02N7O9nb+m/j58svza0fD aeefH0bWTJkiX/fpE0bW6NfHHZdfH7a3s72dQrRzxhn/P/HJop32/E/uWx3T RlRyoIeFn/P2vkLBl2I7YTe7xdPgYuXB3ipephBz2/aVNnYTor+57ZAqNPTc thAVCrrwWk7bawoMOus9KIVi7/8+cRxD5o9kFB17bN7rQtdd5/O6UL16eTc1 fLg0hfTcPJuKE3x7U6kXi1M0kNti8f8buvyJTZ1xxnas/tpYbW/qD2nqv0o2 9emzLWH1zjvSVPfueTdF5hk31aFDwZqSooXbGlbbm/ovaipRNqVoIDfZtG1z 9nasuKkG8sjv0qWLvh5pVujmY1xhGYUOv/jiC3y2Z4EhcCk9agFF01AG69pr r0XSjxYFalx4eiHqs/vuuzPcKP+OcRHqSy+9lAvtbNq0qWGhoZYg7sR9WrBg gbnjjjsQvkD9zCKLgK3riaqq5qGHHqpfaAQqcfVEfd23tcdQgfm5555D9Wiu v0pYMEIFBL+HfMzgEKZ69913Of5mx7uAkJrwP2UIAnK9b1QpRRnVDvT5XXfd hfxANFPVvoYrZHm38uM6IUdHsEGxyVGjRnEpVhShPOGEE7jA0Pfff79T/LWw ddCyQjo7A0t5GnXM7ThyOVHUh6Wrhh3ycMXDkqOxhN1HHwl2Z58dYPf34K2a Dk6uMEFt+SuuuAL19FSY7GQhh6u6lZaAK1f6fqVKvo/KOl99lR0BOTzMlYgh knTuUbfr1avHozpz5kzgWD0Jr9wqW6VFG9Ts21eoe+GFmdBuZD9DGXgUoO3a tWuyDNt1110RjQXtqlq8wtWMKh/tpMx4VNnJIjO+iQWHC9Mc2Z3HH388ioUH pK8afyfXMkxpd1K3bg0Ko2J3RjSbWRKjenqnTp1ULziY5VrNKCMh//1vGX8a A2orI4bCu5UhxBP0CRYbMLQofYTq+agWDyaePn06xrR+Jjbs0UPQuOKKTGxo NRqUuHnjjTdQXR5CkcPuqDeMOnc0N3TWp1XmNGd4QwvKxi5blhVkZXcadtYr //M//wMwTdOBWbvWJ5EuXAB6Z9NBLonOo42/0lp2oN9VVwn9Tj452+YxTzMb jpZLvvtOBBzJc7NkSUYuSbtRihiXKfHuu6HaScDr44+l26jUq9x7TZwuJEqw Q4X/G6pai6XuqacKmCFD+OEw6RAZC8gNN2QgGx/bEMis5Ndo/uUDEdusINtq 1BDC0zVI3jDgaVRUfu45VAyWDbcEFVWkpSS3IEEWlvn115AIeN66dcbsvDNe 87zRo/nhAIsAxPSzzxr/yit9klC+X60ad1kQKOE/ybTFY/PSS4aUFtO+NCQi 6C6awzMSKrgutojAbJg3z5innjIsNEgCYI4pIqAEWX9MICIUCAbCVcmAiONJ F3t8LVpEd0nCkgqj3shX59vxx4W6MZ9+akgjGtal2LpcsWICUUgpAg9z440w tVDYhb/k6ueZnPJg1pCxxbPmmWfk4dlJHDFxovGHDhU6VK0awCbTwm9C2u+0 03xz003CrmSn1QozIHbO/etfwuUQmuvXy0s9LTaLFwtvgj3siLiUaN6c96CZ e+815u23UbSCW9wtFHvI1MS8AzbXXssPT7OIiNAyZAfjGA/fxw7+WrUS2KNO HZ9sAB+PzbRp/HoqZZENIsuXy4zdaSdjVqzghydbRGAUv/WWIa/PsBgh486l CHmewI1sQYRMDVn7pjx1kg0iqA3RrJlwyqRJ/PBYh1lRa/yDDwz5GShfLntf wdyEUJFDGcxi1KgYPNg3L7+MvZ6mZeghMuTRyhCRH4Wrq6UMZg7pafPII4Y3 prZp4/slJQFl6L/+gQf6/iWX+GSuwcpD90zrPDgX5Y2ICXy3ZEJniw0m5fPP yxwi8UkegUOWMsYflNprL59cS58sP6hyY2zx4ja5YRXMarG+MWfkYXuHfUmA k/tizD33GK4JRR6Ny75kYMFqMsOHy1z65RdzUEgssHMSWIweLQ/bOVhAe2JG Q8aSXoNsUyygaUiu+Ndd5zPvbtzIX3QoEBb7Cxbe8uWeN326Z265xfjduolY T2JYzD3oB2qCuA2Hh5jD88Ti0Ufl4T6WFoh/kTfOI0byFcCRoFCUNCIo53PD Db55801DNrHpWiBatHBGZP16LIng5ALj4zCJmjX9Ysai2DRrhrqkvnnySWNW reK3U8IJg4IbylmyxJjx442PMzswbcmGVqZoRG7i6afzBPGmTPF0gpxYICwa WSzAa+++a8gEF7FqTS93OGDY77ef7192GU7agGNuTssTi3Hj5GE9iwUMJRKQ bBcedBCLr2QswBRQ/lC+EBgkgntkwCKxWkcyBepY2MuWiSVGDhfLySQ5jj/3 2Yf9esg18iRYWPXC11kbHcmwNbajhs/s2Qa6nMUTaTLlgZ12EhlKTglLMCsY zgtJ/QEDBIvHHpOH7gknmAzkYpLXZ/yjjkowfbBvlKYjHpn33hOE6bogJBbD hgkWt94qDys7WEBr/+Mf8bFw5gPsQSgMVAiGvWqjNxcXCIsyBwuIapr5/gXU RVhaKeYDsCEkDU7DI403ICQWV18tWIwZIw9jDhaQDWPHin0B5k/CAnr1iCPE 4MHA0QAOCoUFaCB2xbBh8tAigEj3448b/zzit4YNt0IA9RlOOEH0BGwhciSG 5I/A7w4C8JGAwLnnpkQAs4PkNlNg4ULmy6vzR2CTgwBC3Q8/bLjsh5Sj2Eok kdkMl8V88gmz5PV5IYDpF1mfPQK77OL7p5ziw7IxCJ8QAjflT4Efs0cA2oK0 hsHRCJiUJBhzTFRMhcCq7BGAFQoEYEbOn88I3BUKAXZfeAgeeSTynYMA6ArL uhwEwJfwxIAAmJAQGJkbAgmWNfwOLUY2Y0ZkmYMI7HboKQSY4YkmIYKvkihx fx6ITJ7s22aBVGRxHBFv9WrP4CTK444zbLSQ0egiAneQJKeLyANhELF+KcIW ojq/coiBqAXMFkSM8EZpqeIAY5IDB/AGb70Vyx4sGh7JgEPi2j8K0Gik8aOP FtnbYMbRow0HB0krur2GmYCjx8i09yZP9uBF8KFwWScLoK/w9mX96HN7G673 hAky6GQRanwKWol0Bxska9aYcXkM9JIlotGKizkiOTKOj9gb6PM779CNadNA +9deYy7kH5zaAdl33300f2+7DV+B4LfdJrcffLAI7wEQwgIffyw/kJRffYX6 ImvWYOLL4bMMtqEdYfj6MAdhFsNRRPAlYPcYi70zzhDrfOlSMyG33gcTHgea YXxfeCEioVM5Io79RSjff/2LPVkyzCQsfM45rHG5sK/wxu6AAQtT1RHquMBg w3ANHmzMyJGRIoT+IlHPQ5P2oF01/2DTgxyIaSDKU1qaMK2h4rt2lZkELrYm z7Oh+pugY66XJ9JXRN1wOCuMb9ImbIDDN4xGy7h/Uekf5lTTppgiRxyBe7AS yUGhHyyOXHghcdXQoTgu8ZJLhAA0RPwCaIbeIWwBSxpqE4oDBBNDP8JlKiNV iDQR39cfAEUlVnyDdgYMEL4CEyFSJ+SIuJYbZCSmC0wWRAuT7HjEk0eONGbW LOk5Xc/nRUxWVxrF5gvhj9dfx5D6/llnCfIyrDHuY6U4s4AOoDUib/37Gw5r Ylq9+iqUaT2XJckDZu3yxhtsE5IL79PkMAbit0oVMQSElCUMpbKsMoDiWO3F jMQUXLrU87Zs8TZt8uBXM1MDASJNsmEHAY5uyJnN5qX8qXSlDhPWL598Umqo QXST2x1Qp0xCEG3bIiAio03uAI84jPLffttHaY2pA1rjESbpXXeBiDxfqAPS Wsx8HmlmRkYG+MfGpvpVohvdXoKd4dWQ42skpcG8EqqXnjdsGPZYeN6QIZHL VXxitB4hnQPbtXHjoHeADNmBkP+llxo2nuHZwf0yRk74iXlrl/xoJt280PRp /7lft8qPgnZlv0LE+EURz987Mte/MnKn+TBygNkE8QNzoGdPw7yN1uQoxCkh Bw0kjESwYBC5xJlb7PeB3KjOhPhR7drSrRIJdJ56KltqZupUwz61MYc6X4Me t99uuONQN05IEBP1zDN9M/7h9d6a1z+Ef+pz+FD80AAItgN16IA4hHAF1qTI UAnZS/QAvSRhdrEOGsQHDgiEfncAA0Gco4loO8xBcYDd3kGu0wTzBw5EMbcE ZYXOUqcRdQMRSlxhoZFbBHbJt+XSh1EWt0UKGwwDrXLCCWzsmA8/RIRyUl7z ERo7Iu57iS7OGPPAAyKmJf4hCMSkO+efz44YacUullSYjTDLQUUSQO7EghVE qpJl1Y8/cj+DdXesU0AQ3XQT+4527id0docd4NUJK8kCTzj9niB8eus9BPMe fhi8CxUmPYR4RuFlQPzpJ+0hLMwZMwxi9wjvq+UFeY6FDqgQumq6EwT+6vjx HBjgAAHyUWzPMKpIZUIMBdErYaEc7bZUPTvHRWDtWtinIgRFHdhhNAbAoTlE NHR2vsLiK6IdUNd2mUl5F6qFRpgpQ1O6ngtrxQrhWwwjxsxhGbAxxBH2nq1e /WT5nczxCIwUZ3ymP4vCodNZOsehON5+W0p5VqoU4AxyHX205911Fypnu/TB Bxiym24y/sEHb+XuIFyOQDUMNDHvTBOFBbX98suQ9DCdEtgcs+zoo8VghmVo zGOZ6FSN7eSQB3BmQyg2DXvpPbget92GZbBIkRppMFu6doXJrMHISGfbWfT1 xRfFUyELIlnVIkwBO1ayPMxeSiJIHigUVPQuLQ2GA58dcIDhT1avTuO7ZXmG SDmHZGbLPT303nvviV1bUmKJEhVb9rrrIK0iLt9ABz7wgOGl0UqVEuYVLCzE kxE2IUmwn+VvvuD7YMWxTx+kwcVJD+0HJfTZZ4Hlm8atzvJEk3LOtownD5ak IMZpOnaqwp59FnZkMHbIeMDGF6x4/v67qyZB/NmzDeYL26YkH5VPonKEA4f3 YdzbcWqnsCC3AAfrz7FYAItwZ7tZRv3eAO/s6jFqamTSWZSpNjoHXHHffTJV 7r8/0s0lBDn8LHubNAmQgyaEbSiJM4cmTZSLLtpqosAjINuDY9xy2ruahAID vYTp78CAHIEhiSSR339PE/HJ6qCX4lSnR6aslRjQA30G7v36RU52cYWmxTjX qhXg2ro15xEwBbRnYoAsXOh5t9/umZNOMlaZBHMFATYSc5xwQTTu4s4VjCaO n4cnX1YWn5HwXjEjFy+O3JuZIiZ9AcsUxz5mTZETXYqQkOYgY7VqAUXateNF YTuhO9oWICPvvtvA1ogIGUrJMTY8Rzp29NkOxDt2juhhVbJ8AkeoefO43IAN QuqUF5blg8jdWdGk/AzJWPKZjVmR44orIse75IAtePPN8F2FHFFxIb7/nl/q YF8Fyh98IElarVsnzBYAa9DA90aP9uz8NycpANXyiNlwMrTQu21bXm+1VlC4 SHHCAB/r9ggm4/33Q0sGPTrzTGPmzOGXtN4DLgQf4C/AMEhYho+xNsHy+4QJ xvvhB+90FwC8xHvugcYJeoTpcf31ojaMuaNQPSpBGEJCXRqOOeIInGTT3uID VJDOgErYZDW640Jjgsgdx2etRdTT7QXuPfUUNEDQCyi3886TYJgJvYTg9OJo 7cWCBZJLoL2AazFlisvmCHE88YQkHibpaeJwNtBsTvX5CgicBc8nFovLHDLL OFnB8yJhEzp1TXLixIjkO5BlvG6d7w8aFPjMRGteqzeS7a/qEeyPXCSE2uhN xR8CAzEvegRf6iJtFKn1cFIk6VAKROy6qzFDh3rer7/muIQUnKezeXP85KRZ s44QYJ4HCwF+MdYFxPI17AzD2TbmQH5N5DnIjFCotbIjyOZHpji8RLIPzZgx 4nZAhvXXsYAYwQrgrrtGglmHE49F3kVuDNOZqPhxwHaffSJdlGy4kFMKfDRA if1qEj460NIBqXtIKZGzV4KxQBABuh0RPtIkAwWQ5IjKJIrzEop1YKWd+nl9 KPwlCi3F/a1RWhaXUYhNIt9fbHNjrroKpNpfx9FIUILMKizvuDMbSXbkN/Gq tyhxM1gbR8MIeOkwQ+/07q3OzbUhu4EleLR21VVx2xr7WOCGSxzVmAsu8Lyv v1b0YTzCVcO6gUN+pAsiyIRYIZkR1yjaZA2xbrEzn+mC+SXeTY7rycFU0M0A mK0bN3ZSzDEVbrwxPpnBp1On7ucQHmGym282yLdxCY8gDJQCTGrRXeYGbRQL OMgbsYskZByC+cOthEs82C6KdHD5BsdUIPgmWWIujfax6GMWYDlOtmkEhEf2 CPI2ENUmtXeroj1rluzoUMGMGNOSJcNCoQ0JIGjfc49Fu0QieTatmlxByZIw Zm+H2kuXohSNQbw5ObHg3HN9jmRaat+ePIfgs2rjO+wgEm3z5kwJEG5GUoK+ CowD8CPxaUAWuHzr1yvS8CmRxti+veM8xXheIuSGiD3ReIQCwIU02h494rKl eXNZRiDZwvkiWeYwJWB7kGKLa968IEuGD7L4xz/EuS+24CWziezWBJkOK5+4 llG2aU2R+1y8p0937NhosK8Kb4TNc9EeXHddvAfPPx+kqHLAAeldxrSw9Eb8 EhkoiE4EqyQxFhZY9CcbDYbQg9oYLBs4ytpg9eowLfJFlwjeViF4nvgQOtkH DoQkbuYQHMSEYQb7hPAMCA5nFKs6ECFiLJrIo9osZAjsH+E6WXhZseLy/BE/ wOUUnGSBcKFaAaNG6T4tzChy8DgoR364a78cf7z4w2vXmqe0MViPmKRoCFsF n3kGzYdLwhKthZb69Imji4ODENnDfdS7knCvu/sNHgbd5UUnCWMHaMNHw1KM zRx92mVr7I46+ug4W2N+iyUUuTQk/loF9ZprIm1cckNPWsx4+WDFiiAwaZjR eQGQHAjFGy+SxU+yjW2x59zGQCSVd7VqYZbni26vXnF0n3tOg8jgGmVQ3SgJ txYyJMmigtRDZr04DeYFbQyb0bCQoSJ00CCo/EvyR3dflyBwXXUWYvV2y5YG /Fi2u6xa5Xljxngc/Cspic9CaENE/uJRPBN5UQCagK2QcODKJFlFCZfpmFC0 t7XbAYgSLG7obHz88QaW3hJWwQKgcemNuB4S/mBCkaR71W0MSsAmJXFMbtq0 sOgiBwYiiAzvAF2c5ozl4gp2twz8LGOXI6LMyVguJEc6oDNarlVLQs5Y4ACd p2lzq1fL2qL2HC6e510YEmE9LomUVSuXJL/+KnaZWghvv727pS8ueJ2EHLJc 3enXrp1vrrvOeG+95c1w2QJ5YYimRW0yBqoBYbUnbBouRLxYTGecEUd7wwY9 R1ekHlL6jKlj0UbQYvJkSRMnh9018MDSSJeha6ZLg6lTJQqKBhs1gl0cFl2n 1HNLFwJQlhQx2K5YoK5jPyEHiuMrxAYBWyBaqpadWh3vaXNQgsg8ULdIdv73 zhNhkhsBwi6yu++uE7umwxbgVYT+9t47gS3oT3jG8PM/cnu/aVN8YmBj3Zgx BUC3uUCQlWHoJrXuYER/+aWiC2cGSVpIzXHYARmZWCCVOhlmjosuYpOQmfDa xo3DnUyp7IkG84QJgXMSIAmDGbYAGkAMQ2Z7DftJKtkAJsBOAqx52CygyDxF E9PC7gDgDBtZqOXVw6wtZad2555u92EewrXHs2LSE2+/vZMz9AhkYPPjwQcn DD0R3zz2GA/9525jqFleZjNKzj0Xdug5IYfeKVkaoAuJCwsS92vW9LzZs8EM 1R10Mb2QsxCs/oskwK4ZKwkWaWOoOwblgcYQgZWljbPyRJfMNUE3Fj+X8eCD ERmvbl/F9IKMJTczGHywH01BjrqrBHATS9nys+n2LLI+/zxfRIkNmroQdCkN y78iYWULRLGV9BIahhMYt9+jPK9A3CVLTOQbbQ7BchVZULtYpzamV/6M0FRH GrY8aAY9+fHHlR0GIOeZXREyw1x7HYE6EJdm1nK315B9avxj/n/ySQHQbOxC ePFFnbriwBhTyaKLSYwNrLDGHDeOTF/22+0+4u+1MQQysR9PXTjsNTYZdxtl Qveyyyy6MdluL/Yusp0q2VfhKyN01aBBnF8xxeFqAgdd71np9hozVY+jrFwZ tlG+iBJdG7oQcPifHsZ5++244yYQg1/huiFzNG7pRhGy4oAtKZDIT9ockEVu piROyH5LY7oXEGGwmRRGwDxXAe8e8adUdvgWyR8gMuIiROSf3d7DTNYoJJhh /vz80IXnYNGNSagHLSPNfvVqRRMDPX26YSYk3BRNMrDZVrX8+otLVbU0caQs gogm5B49WdywllZ9lxBY2cJ9lIiQoK7NnuBEPBgtzZrF+RYkxXYEjLDy7Wa3 OUwyOeZclMIPP4RFOF4qyiIcw94ATbtFtEsRxUIi2M+Vq8TZmkEQMam4CImo sozVLSSCWneTNFZdeSIk+PZbXf3zvPvv9375xeMqDEHQXQRq9+4SJSMhxu1W cKmIJuyuFM6P9rywSMJUB7WeftoiaaNNWOCg+9907W2uvsrDAo8ih9gC/G+7 OsbtBRsoZs+OS7gxY8Ii5QytIBXzvHvvNW9W6OyfWvpPd6lr3319TmS38Vpu p9SllKsdRo/GnZMzIOXanp6HjFN826JFRMoslHnr1nlm9DUr/L2KPuPcXGAK vsducoSGcFVRgiDDXhXp009zYkCWBqXnjRrls31br15kV0uaL76Q7RFkc4GV I4ZYuU71jSofpJFqLgHU7MAZyBIKD7eX2POQhwMXvWXLyC58L64JpkyR7aPU 02CGdYy8Yya2vsXb/PMmaWxnoYkUKVK5umBBOHQSmGRnpbYJFgYhNTW4Twxp Ljjxe/NZrJUxWMXAErVllp1dpleFCo9Hamscnydy3btHdowj582c6THL0mAo ci1acD2PLasWrSLLpZJw6iOc+ubv4g4khJNUMZGMCc8Li5xUhEO+WaSaQzns DUA0OFhhKEMoiKMuNmZljK6p16/vkeDidmtpE1gjhS+Apu+6Kyxyc+f61veN 2GozHCZ+5hmD3LGAuypW9M3++xvvxRe9iJ5QwhdCbLLK6XnjxsF9cbB0hIJO SrFFwu3yT8B2B3sPK7sjRrjmHFvxbEORlxovzIfgjhZzuvNOblhETCxejwqu 7YoV+WJ3zDGRivbe4sVSi8IKEMaOFDhbzqRq4hvTHn1UeyasF2BnLY8uXeQ5 PFvxlo/OE8v27QOX/623xAoiyR1giV3PyAYjXrRY2tFEWRI1VLH8b2f2bu47 P/ygOpcHpwDY0oi7B6bA2HnhBWdNMcaGCJbNscufLnfDUiCVQT2xkxhMXW0R Jik4tKjI8156KRSuZS5lccfaX7K01bJlgCdMdtDEbvpR74kdAKSCg2aSzOTX j/dBct0BFUas2NuhynWUKJ4ISrLYRTIIDZbi17SpBHRt6oF1RiVVFl8hMG3p 5+DnefCSNdUFUbSQ+JHtQRbG8gq7+Vfu8gQaVLwQnUNhDGvnugUNyOSUoC3W TCT3mZtsqLSFbQizBNsvP/ggDV6yQlyKkok+UllvJU3/OJa4aTz1cCpNlE+R S5++cKmB/jXmnG4/+6WRzdqvww/3eb+n7VdVfRuSFCVsZC2Vm3Ic8fg2Vnh4 EmM5IlO/oiSuP+O8dbosrhXdvHa+UuS+p+yXSFaxskmss5+hazWxyO/mzM7L sZMpiL6J7QutKjt/EzuE1SNf80kIZpYdssdFcYeKbWvpTtbivGXpTSmSKQKM YbVceu46swz7TeNGjpbskk1klq+CuA3sb9iiiArPmHFYAKBmZiTLyRkvn9Cl DB5JHrA+eTUTsfQKnDFkzR5LSaTjoV9QzLJ+4aBt38E6B75t2FAXAtPUIErX kXKyvtMm/SviRGfHXtOohaxU0pUQ1wXLyNokRxbCI1xObnbOCGMFFEoHhQ+h FOlqrs8+/VTyj2DyzJuXBaLuxLSBn5SnhqXFEioEWNatq1iq2MZ+4YAPmsfJ GvcOsKwjIuiwjNhy3dRK4K44tikPGisfWxLzMBJwH36Js3sN1/z5Qj7oOsn7 S0Zc8hykjpLskU+LeHtLop/Ez+C/KqdDDhoD3hdyxx2hjE+1zJD1GlrpM13c QXBozZo0yKRVfqi+qitXAWAkjAqzocglpI4LGEihAJ6s64cDLInz6iY6Pcbm JLy+++5IMnUAO7IGIlBC17jTKU8E9tknAYHOnSUkcPvtgXchS9ax+Mo6HKff fy8M4ATDAgVNYTjAsIiXUFAEJJEMGRJi6IZFAAY/EJAZ5Yb/OQFCes/fJCRH qEKF/yyyLFQxO8tBaAmQHARAGGx6lwqE/E0bJb2G7pEWX3DA2JolflpA8jb6 DDWGIRtKSuADFxSw5L/hlripiYDxt0rTvn0LA7iSO57QcLKOb4wcYOEgYN9Z ulR2+kWjkj9szCEZEHECbEngPa9S/DbWbnTFjBtpqzRBYrxmQxip2phdTM2C U6dg/fpK7m1ZphIujoOT6vQoWYhnM2dm6l06wBod+fHHADCW8hEwhcGGpH8X MD6R8kTQ84UA/NNPAeBXXnGniwPY0WY61ZDEa8KVx0xC4OefK+koYhU53jh/ c5B+goMigRy2beQHWNl35coE/xvLEFrKVPYWJCIA80l7//77+SCgwvibb5zb SKTTMAJ/c4j7CWrxSvCwEICXL0+4jW2suI3JFQAONneLTofBIIkcbQvdc9lc hNsQHHR1UH5AyQz0esiQ/AAbA92I8N+iRYERg+2CeB1Z8ps3u4ATz0JYsSKf HhdzQRvP++ijMu0VNsXDbMOqv2WyDu4nmm0xZEg+gLXa+DvvBLfbtBEiOBGx IEUelx4LIqXfceeA3BCwEUVhYQzo3Lnx/QQ6t/RsiUOVHqhRgAdYe8sf5Jdf JpZKxj5tdAqr0nQdps/eekvuI4tw06awUGUjBPynxPpd2OYkG7gSoeKZpGlg o26+UN97LxGqUvL995OhIsVa+nv22ZmgsjIuS4Y1c2YiLJWids4KrKD6hKSt SoV33GGbMJNGDvqH7AzLPgFM7FQD/iefHDDv4cpBuiqP/N6cK0cHUMVa5FMU AqhPPLFVYOVwfaYnJSDvfOPGsFBl5RthaoWqi05S8yAZqstBTzwRFirq2lgO ciuNsoqXfHrdrJ4MXXbTiA0WFrokKsKsirj5GNa6k53tdB3hYgb1q5iJUblv SOiSIgZoidCxmCn7+fmDrjoaCGyiv8cfnw9UHdNXXnGhxrnulVdcqGJi6hxa tCgsVFk0QiGyOFRsPIByg0tmD8Po6mKk/sXw4flCnTAhDhWnPoCKzik3Wrae L02NQLaxROlyrEsfQNfNsyNGxKF/+aXcw4b5VNDhtEuun+aUh4MusQhb2Fr3 yAdhcNT8sdCP1mfKXdj0HB4q9sHYGusBVA1EIhkiEWp8NKDqN2wIC1W29/Be uwAqPBfYHc6CegAVf2NLryzRhIUqafZIoHWXeSX8hPcBXQ59SIYe35B0+ulh oSPYIUE3C922jPxNGFcDePORf2wcM9lmACMaSzuSstUqA3RXB+sWZGOC2GqC JJZKJHQdr2Og0l2WNTnpPEvdqxFCHlMHlmyNlXxKF5aGQZR/M/WrPKgzZkgr 3bolQtXKnDNnJkLFOgwSIhF83bAhLFQ4N4B60kmJUOVEERk3FyqeoWwdnr38 clioKumGDo1DVesG1qgNICaUyFDvt2fPsFARG0MLF10UhyrWDSR+MFsEalDG LC6TZTm3ZRjoFSWxQS1GxNRxiVRUb18+smVSpChQfCU3LFgELTVGbzMW2BFA y6hUngRWki4kUzs0WGclpl8/pXWcpyRHLhEq3sdaGLJ2168P21ksbgMqfF21 5fB3nTpBvZdEsEADeQBA65lnQoEtjYNBTR9cWFaSDHx5OaEWEDa0iTeWIziO EQU17HCNGSOYy8p3cDoQX0iGhImDxSpZTWkeAhwMcslc9DwYEGp+YkMyXd10 aLUwtWymDgtJYyO62CXLyy4k2TaDZ9jmkRbSIbbtNDkC/P4F5DrttddeRTh9 MFKMFWguG6et4aqsCEqlBSnZin9RSyQZQez+0yQlz8uIYKrF/uKEInaLyFK5 +OKLUSQay6Nm1apV5Jh8kxpDDddKDYAEX9Gp0BUn9ezZWWDoLs9qETScBTti xAhlALuiXqZ46GEO2Oou1ndqPPSsohEjmgaNpFmWd+MaOJR04MCBqNuWquZS ELNHsinECs7QwFY2FIXdGhUkKsnexJEjcyQJd7rIHzx4cFo8oD5s9ggv5UvV mq3xwAIWCqhlwd0p8KB7s0nRVa8uG39SLe3y73syt+0ypj2+js847du3LyP6 Cjlsu+22W8oCYCUp7h3zJ9xLczphqlVx7RYODsZ8O+igg1gCEG/9VbqV7Zp5 KtSr53Fvx/+jb7clXArdj1Bna/71ybgt4fJnDynr71H4ZdUe39xY2P/LPumY ueWWW/ySkhKuk7vaunaSvSV12oqgN7i6wc5kIdTncqgzZ87USiDPP/88n4GO RzhNHkqmUaNGeoj1oEGD2NIincTFU7ds2SJY7OGAILGKA6gJC+TW2RqLovmg t/CsRo0aevr0C6SU0eRjjz2GMrXksXxQbpM1kOFFMr194j37l4BBp1GJ+nxU WLLKd89wTeFznFa/B+r8ZG5KlPOuZs6cOf6wYcP8jmQZ1alTBwcyc9MouYoq kueSYTtu3Dg9+B5fcaHee8lvIFojY5LPwiaz1XzyySewOnhIcVI1tQmbzO7J KR9taEBQ9dtvv63Nt6vmCoJ7S1wiB1cLpFgM26BqWjs1iv/jKHc8i8h71VFm 2HcucnxfRf4c2V07MDftT04vgQNm3B7axXhRW6hwrcvkV5LjjEcni3mrMc5n n32WbxMtzaZNm+xGEeZmTD/8OIiWj2dlxZPZcuPGjf6ll15KTmUt/hwz4PTT T+dR+vXXX8mzbqrnd2MwLWV8PQGed65F3Ucu0ewjOzxlOHycz5BHC5UrV2Yv 5eyzz4YTAFzEnCtTAEG3UkIoCXqbEq8SJUQwHJYS8rgqf+0MGBODJqDfo0cP HJTO/IB/27RpY+655x4yaH9zcDRff/21f9lll/nNmzcPpAVohzPC6dlJ5c8V 3ciwcuVKDDE/I0PTjB492nz33XcKgJwkVCj2a9euza8QAHXdyDMbZalvxo8f z+wNniL2VerTsOEQeW4rw4Th4r+YMJMmTZIJUwoA/DpuJ0HgzRkV4iAczy7m d+vWLfhu6dKlyrpw6OxtdFmTvnGNHDmSb1ck5wWQyN9haDNmzICtqtB4+tor ohOldevW/C3NL/CxhqiJfQMkyIqvGRY3/5JLLlEeNMOHD2fcwAZjx46FU21x K/Z79erlspF/6qmn2rlWrIfdB1woz/BdFTxLYL+7ya9V9UHOPMMCLUg2MBtC PzgRcbQV4Gfh6EB079496OyyZcvcr0AH/Wop6uLpVxJbAT104lkJJI8rmYcf fpjlFRolZYscd/4EnNyvXz//2GOPBc6WhDzDS0tLwcUQJZyc/dRTT3ET4GZS FrZscsp54q5bwoOB0Mbztm3bQtPp8RpLlizB9GGkkM+Oi1iTX23fvr3bNahg 7do555yDW7tnmBsADHxpqte2pHUadyge6Hf8UOPKjBdeeGEwEI4wRxapvk0i QxuZP3++agYoIn0bpok2QhR0E/ZIYgSC8JRTTjFTpkxxuwzxjnHAK6eddhrQ qRkKM3AOJChuk2Ggb4Mlynkb7Vtql0MMfRtq2OErHfiFCxf6++yzD/gmmFrU QlEWLaaELycsoX/KBBDWaoYgHmAVJTRwUmv8GawXmqNFcZ6BZnB4Joqkc26B 1H6WvM3SA89Ii5gVkpjmHh2j0vnDDz9k3oYyxOu9e/d2Bxq6OqlbmXgbdG3c uDHMEuVtp3GXAGjcGWUlPvYDpOAgdGprnmAJodJ6w4YN+jY4tBzefvLJJ/kR zDKcCMKDH6fM5MmT+THxN898Mjh1A0iNMBgm3D7vvPP07bVr15b3NtpP4vEk kNp7ZVQIRFLtrnB74IEHeD+I8jjDyNhiMnzmGdE6ZS5jsxazliZ0eJwOJeb7 77/HIRC+XmQEQqXHLKuceeaZinNmZo6ZefPmBXjefPPNwZZEO3vIUmKLGBd8 A7xK0yUWxzvq4p3GbCnmQz1I2vlNmjRhiq5bty5iNyW7bSeTK28eJouEbx0q WQ4pZGach2Wv1FlnncW3icysJ8mkZNdR7PNS8Bl/SlqZ3yctB33PT/Pn4nhH 08n17LkYBjtuH4SdOrq/NcdG0jBuSQLjwrTG52TmCUUrJni2drpgxYBdALwK ZyMzp/pDhw4NEFu+fLm0XuZff/318Hu45QcffDCYNTSkIF9RLpxqIyOM4S+/ /AK7SGy3ylhcoAfvYJlYrmD7Ugqgwihqc4Ns+pGOSW4cDLcGt86VJaYUb8c5 uDqrCOuAKFfyeUwf4nAygyj/b+p2IXjOz+EVXYVC47Z16XCx22G+LuKVarHu nTGNlMPHGdg7zdvZs7cSh1TyH8/e5PHw52TFu7ttyLXnwBBxv/Ia2FWpc3xm 7kaYH/chcE18UxusrAEDBvB4tmvXDvEEeDRhGJoEGfR2xLGEtLs0jeL+PwIe eEN2frBALA+NSOFY3JqSHOHJzOL//ve/+TbCKtbHB/v61157LeMLR1Tn5A+2 wCgZ2XAA4ywuzp72d5tlcR1ru8bljE3hmDyRk3RUsQ6tvXcT97HCBxXJu47l cwxf//79YXRmI8s1WATnhy4tXIihxKZaeLukQEJwOSsVMiJUbJNjTA++sxmV 8Y4UqyR04RWQnYEabp0hOStp2TmKRAC+fdxxx1kbo8S8+eabwCmQzlaD2xAh 254IOXz11VeRWLyvxW5ft0l2ptvVqlXj24gi/uESG1FsfE6SOwb5FZEAI/xr /JCvqu7J66+/zspEPTLYjUOGDOHFA6OHF6Vla/XErBCTAgbiL3z88cfZuHou K3fo0AErwFpai5vI3hhObTr6Xbp04VsITaV+22FMmMx8a/jw4Wr8QtexO4hg KoKnaiibIKQY9Tt16sRBQvy1cxg8/1D+U117BM5MKhD/ydu8hF9etII3uFu+ d3uPiGAF8dhscCAIm7Vq1cq89957ei7iKZlZUKMhfXDEnzG2NBOsZF7R6Bdk vwlbwlbMgi3r29adZlxaoJUMnLlmzRrtMwLi+jb5udoIedR8CwU4SGfr2wiI O5zp7g4kB1L7i0heHKMSRDXhdwQx04THUXPjjTfyTCiPPzNj+wfyJ2OH2wgu BaFZUb0Q+4hh3nbbbWHaLkl+m4/NM/FoMS70WHniknj1B3PTTTdxi6SV3O5q 5D6QpDFemgPchCWiKC9GtJcaR9kYCTZArAFtW6ovWECoUqUKojyag4ZzABVr 68lE0rFycjO2R2hGB5CaSRWyvOGGG7T/CI3o7TvuuEMbwSmN6nWTBtG3oWDK YWUNi2HIf5cyXTpiutiCH8R6bLRMYcFDo0mAPsR1Tq4IO5PM5eak2+G4GQEU dTcnTpzocvPo0aNVN2dou3fv3uVxsxMy5jX+4LGEjtFjfXyHlJdibkYEwlpp 6hkrDtBw6kDHicRnG+PWainApVyNRa4cuFqDzcQfca7ewcyaNSuwihFWwmI7 yK8dxxDPmTMnA1tXyrYdiclVYf2DmBweQbAffPDBPohoU7c4nK8hHYRsaXoE 5Z/0OYwAOFq33347YsSsrLAoW79+/cDyxBKSvYKMSWgN1X0dO3ZUpkNMX5nO 0ZR2yQ9BSkCQpJjqYTrAww9tQ/pf8CtxLX7+DI+PPPJIXSxMemyN6ky8L+IU 6+fAjDwTTFa+h5QLdRFIl5bD/DZwyhyuY2oB2EGoGqb/LoJvvfUWW8iNGzeG fcljB/mvEU5E8UmaqYmMGAeMXHrMnIXXMcFg0dMcyGwioyxR0A8a0qq2YTjp UHsoiQbznKQyEwjxYCKaXalhDaIxi5gTs0AcAPEId6UE9ml1qUlTKRGhhAmD KwN0vGInDEopwbrFIbzIimAKwIVEBgIEBKiDz2FbfmB3M0jfS3lMiH1hezPF MKb16tVLcNG2niglgQuj6g2c5IgrsEDdunWZpOPGjXNlIxJE9CurXmTi7Bym I8z+8+bN4zUeJLHT7IWATLAoUzzPTW/ELEtgdQicDwQxGPDWEHt66KGHIDrS zxkUE+N0bFis1CVnzlTOteuuab948WJem8ESHBJRMIz77bcfa5ZNUtzYXe2C cj7xxBPZlAHp8UnXrl3N1KlTs5grWMPCV9bDsienBOyDTIuo/b3HHnuw4Tx/ /vxcJoG7gdmxTI7JacCqpn77ukwdFH7R8Dn1CAIBt9yUeugu+5nCeemllziP JYHeEuOcNGkSEvO2SRKIXxaL8dK5enQJUwcTuX///vzevvvui1COSwos+qWA 17dvX/9vOAtlq7VvY8teRUEDotDMmTNZUspf8hsSVeWNI1CCCCqRqcsfSCFl 9WnTpvGUsyGhwVvzjop9ifFU4y+ci5GGPYkJg9y8ESNGsLKzhOZYHyIo5BWm jIe51buwdI5pSzJMv2dEo5yMGg0EsvyF38X8vuICIV4hyN1LzW9JEReXmpmT MKqmf5vYgd9GgDBOTUl6qAy3GaeCc2oJ5AaUhGo96JHOnTuzB2WlvgZnMRMh IZFoSJrM5Uxnip3gzEbiX2RCpNRtR9nPyWCEREwW33rbNXmqpv5EWWj69Ok8 MHa50Xb6H86wkoXg9+zZk4XHAhRUTTx5YqteyFdwexG5sVFLZ7D8Qw45hG8n 2Wt6OwXyyZ9YCfGCRQOOY8uWLVnikf4rB7uTnNtgz2XLlkFXHJN0G9KUjE8n 1KS3kljIfZSEEK7x48dzV2jgy0GIh/SQrb/UPCcyWGJJt7t37578pRxoWGbu vPNOVsM6m+zsVUOPbx7ufhLlUA8oTcaHJvsGnvyBBx4Y2fqbMl7FwEhAH1tV 4l9zzTXcDrqc4hNcMKgR8kD8gDQ/h+jGjh0bdMZ+wv+3ue6RCv8L6aWUfQ== \ \>"]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["ODE Solution", "Section", CellChangeTimes->{{3.406361911712035*^9, 3.406361989219633*^9}, { 3.406362033712138*^9, 3.406362089949944*^9}, {3.406362133547482*^9, 3.406362155486127*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"ODESoln", "=", RowBox[{"NDSolve", "[", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{"c", "'"}], "[", "t", "]"}], "\[Equal]", " ", RowBox[{"f", "[", RowBox[{ RowBox[{"c", "[", "t", "]"}], ",", RowBox[{"w", "[", "t", "]"}]}], "]"}]}], ",", " ", "\[IndentingNewLine]", "\t\t\t ", RowBox[{ RowBox[{ RowBox[{"w", "'"}], "[", "t", "]"}], "\[Equal]", RowBox[{"g", "[", RowBox[{ RowBox[{"c", "[", "t", "]"}], ",", RowBox[{"w", "[", "t", "]"}]}], "]"}]}], ",", "\[IndentingNewLine]", " ", RowBox[{ RowBox[{"w", "[", "0", "]"}], "\[Equal]", "1.1"}], ",", " ", RowBox[{ RowBox[{"c", "[", "0", "]"}], "\[Equal]", "0.16"}]}], "}"}], "/.", "ParamRules"}], ",", " ", RowBox[{"{", RowBox[{"c", ",", "w"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "100"}], "}"}]}], "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.406306096511683*^9, 3.406306158904936*^9}, { 3.406306209192074*^9, 3.40630631857651*^9}, {3.406306363334903*^9, 3.406306363480737*^9}, {3.406307316856121*^9, 3.406307338596922*^9}, { 3.406309463895229*^9, 3.406309485677686*^9}, {3.406362112047407*^9, 3.40636212286679*^9}, {3.406362811155771*^9, 3.406362857078014*^9}}] }, Open ]], Cell[CellGroupData[{ Cell["Time-Series Plot", "Section", CellChangeTimes->{{3.406361911712035*^9, 3.406361989219633*^9}, { 3.406362033712138*^9, 3.406362089949944*^9}, {3.406362133547482*^9, 3.40636216736589*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"c", "[", "t", "]"}], ",", " ", RowBox[{"w", "[", "t", "]"}]}], "}"}], "/.", RowBox[{"Flatten", "[", "ODESoln", "]"}]}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "100"}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Brown"}], "}"}], ",", RowBox[{"{", RowBox[{"Thick", ",", " ", "Blue"}], "}"}]}], "}"}]}], ",", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"Style", "[", " ", RowBox[{"\"\\"", ",", "Large"}], "]"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"(", " ", RowBox[{ RowBox[{ RowBox[{"Style", "[", RowBox[{"#", ",", "Large"}], "]"}], "&"}], " ", "/@", " ", RowBox[{"{", RowBox[{ "\"\\"", ",", " ", "\"\<[\!\(\*SuperscriptBox[\(Ca\), \ \(\(2\)\(+\)\)]\)\!\(\*SubscriptBox[\(]\), \(i\)]\),w\>\""}], "}"}]}], ")"}]}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"500", ",", "300"}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.406362685668005*^9, 3.406362700505463*^9}, { 3.406362737679102*^9, 3.40636275910904*^9}, {3.406362867851425*^9, 3.40636299703362*^9}}], Cell[BoxData[ GraphicsBox[{{}, {}, {RGBColor[0.6, 0.4, 0.2], Thickness[Large], LineBox[CompressedData[" 1:eJxF1Xc81d8bAHB7pGFkZe99cY3M73nMjKxIRtJQRrJSVgkpKlEUkkTLSCmV jBQRkRDKKq5rlYhE0/h9zuX1+v3D6/36fD7nec55nudcib2B2/Yz0NHRsRN/ 8H/JlMWbOaK1/+VcFfo6GVmPnrIpiB3yuY4ky29ZMsc1otrw+7fkfUrQ2O7R OMU9b1Ca9sjOdclPUYLw+ndcku2oQS3Ym8XnBTJO/xPzUqwTHeNdLl/OrUMC /Tcavmd/QOmpZv8tnG9E7suf7oQF96HXSR0W895t6M/ZyuRqwSE0E792PLzo HXJwFfrV0EdFx+tKFH7ldiLuI2LzEQdG0BoGR/8jGe+RU+vwm76noygdft7/ cb4b0XlkHTJuH0NSJ658D47vRYF+wSfKH4+jB9UGmjOR/ej2nhm+8YOfkcHC 4NGA4E+oM5Ih8/XCZ9Skd7Ji0nsQFQ6tn5g49AXdNeCJ1iqhoK3vFN7zv/qC vvd7XQ8tGkIZ7L2/9FknkE5UWc2j21RUIdnY6a8zgaI3sVFnc4eRwudjsXQ7 J1B9hSsjOXsE1QaoxBeETqA1rnelgzNG0Yz0kU3J8RPI/veC2YPUMXSiDqIO np9AGRm23tPnx9GbqMnB3AsTaEA7N5F05jNal8c1YZ4ygaQ/fC88FP8FWSYo WxienUB+R0zeFJ+YQMtjIb7acRPowcbLk18jv6JK/ajqmrAJ9PPR2Dqlo5Oo fPfbcNuDE8jQUUfVL3gK7bULNNf3mEDxs2fsC/2/Ide8gr/tNhOo+WJ/8Gfv aSTJkm9obTiBEjPTm9LUZ1DclEtgn9IEUvZBbholM2i9t8/0bcEJFMJ6MSqk 6Du6Gn+n2f/HF7Rkpvl8JvcHYo6wDFl74wsSqIs0mTr/C7GSuX4XzX9GVtWs tmPey6j8UU9f6OVxpL68d55vZhkxt7Hz9h0fR0ninq1SBnRAGlD6an9gHIXu rTziVE8HDI/ii8M3jyPTsaD6J130UFWUxNTZN4aoU5/2hM8zAkdSDU+R7Bj6 kHzuyQVdJugjHwx/xDmGmlV12QuPM0FZzeZTg39HUWnwpQe9zMwguOj1/kbb KIqdt1rW42OB7VzSxLmNIvHFp9mL2mxQetp4o0TvCNqYs3+GN4oNeAoznha9 GkFsiMeU9IINPlQkBewpHUHTMQFfd21hB5ftbUs7kkbQcyYZvZodayBuMPDw EeMR5LE2tTsufC1ccA5hrH06jOzvIaWrz9aC0Yv4S5b5w8jUdir6Ed060Paw i2TKGEbKFyxkRxLXgclNq3musGG0wLMcanZlPcQfP3MrRXcYvV2nzc7kwQk+ YfPD8q+pqMOaO7P1GCdonzBYeFlFRT1nvsleyeaEi2c29J8poaIR5nxT0kdO eBe0tfpaBhUtLPLHuLhzQVHYbs2PvlTEYDC3XiqKCzJMLZ727aIitsj2a1NZ XDCX3u/J7ERFPD8Tq+L6uMD/2LPbA/9RkeK3Pz+LXblh8Vwf5zU+KlJT/nAq LIIb3tzXHf69loq0/Uo3Gl/hhh0PjW6fYKQi4zE/cncPNxgaKWuu+z6EXAf6 D9G78IBH3UyBZOsQSmytHtnuvBEadfLq6C8MoeS1WYfFj24ETe7Pu74nDqFL VkcZvl7eCJyRJ2ZZ44bQ9QaSeMz7jbDzm1R9QegQKnt+3b3IiRdmuDXpHrgP oWcLUROhobyQlT/j0rp9CL3Uc4lAl3hBpqqdgct+CLWWcWZ0dfKCSAd7P73Z EBq9H9uxtI0PrhyQ2JygNoQmJj32NIXwQcm97LpqJeL+UdSbSUvlgw8Jj7J5 5YbQwp3ZdQodfCDYsi5LTnQIMYy2Zv/4TnwvYzZNIe4rNqm7Ss+5+CH+9fxM Be8Q2nh9n6WjAz+IezjaNa0bQps+oR6RYH7wNDPsWmIfQuJCwt6fLxDvi/pt 38YyhJQyuuKPt/PDpPfWSw7LFGScYlaTbycASTff192apaAYq8eFHQECYLB/ xqxlmoKeM0ulLZ4XgJ0N3brrpihI7xjdAccWATCuKWvoHaeg8M2BdtFfBQCV 3Yn3GqWgstlPOoVrBIGJv2yZZZiCNHyrOJYtBKH12c6jFwcoKERacV7BRxCq ts6lh3+koAeDmQNOCYJwL0y/+kgfBSk7H31Y9EoQ/jx9vPvBBwry4xrNej8i CLnrB+mnuiiooMUxno5pEwQ13pkx7KQgaRP1Hc7Gm6B8mGN5UzsF7V26DrF7 NgHf5WLjO60UlFuxXrE4ZhOc0bIVMX1LQcJqkwv0LzZBkkXB+JNmCnL76jam PLAJqB6DS4lNFJR5p6ltx+Im4M0KW/B/TUG8Ivk37ukLwQ8JMYYDDRTk1MOb 1OMmBOfDGzZHvqKg1LT4I4yRQsDPmXzvWj0Ftdv+2EW6IgSzPUp/2+ooaP2a vRau5UKQO7S9jJPw1lft6vHdQvBmy8djni8p6GwMEir5KQRrX4Z+rqqloNf6 95n6eIVhkeV9mgxhll/C35i0hEFmoEowu4aCTEvPdas6CQNiJPGLEY479LfG 7bAwlPygKt1/QUE18r5Fp1KF4ciay78sCC8Nd6c9eCgMKTeWBKefU5DBdfPj /e3CUHthhJxLONLtyQGWGWGQEE0acSdczittr75BBAbygrskCP9qT9XdSRKB Yn5SwfdqCtJOopdKsBGB/6LcmN8QDt0StLbUXwSMDl+9eI9wKcPg/MdzInBq yGQ+k/BMtc0g610RsL1u9TGJMCni2WtyswikdfTMJhL211Qq9fhCPM/jH8XP i6avXE1kE4WwSgNP/P3nIrZTj+REgb7ImvMuYdkDYQED5qLgEYPu1hP2khjb wX5AFIQnnYdHCN/46GSkeUoU2q62H+Qg8qdk1Cl63hKFfMPfvzYTFnUkbzxb Jwo7gn8b+hHeuT5v8TFVFJIfKP/OI5zVtGF8kF4M6H7A0ADh3vjo9jUSYrBX beiROHGeAjBVoQVi4GfVpuhN2Pmf+83dnmKgVcvKVEq4I1j3aNk1MeAynxx2 JOqzX/XvOvV14mDbYV1YS9Rza3/CbQFRcQinf8+hQtRfM4HXkE5VHDIcfh64 SphpUM2/zV4cogf9mWOIfrmR7N186JI4HJEvE91L9NvgVNfpIiEJ6CKN2bkR /dpwZa9oqrIE6L8QzesjfN9s5kmEoQTU3/j92I3o7+hrHKMWnhJwP0oj3fUN 0f82xibjNyTg+Jv6GltiHlyLS5alFCVhqlGsYZmYH3AxzODQl4S+sH0zAe8o SJ7pDemHtSSEVd1z/Uj4t/uYx8tDknBy7WLZww4KSucQebb7oSTQJcN+M2I+ o58WOVq8lIS8seTttwnv36fzVbVTEpI42fUY3xP7rXLctDwnCVXnjZrLCXf6 nQ2/piMFgxXudWu6KaiST4DzlKUUyD8m/XElfOPl7Xx/NykoeefHnU84ZFPt B/1jUpCV821Or4eY3wbbAKnzUrBmr2htLGGjkI/MHDlSoN4pEtZAmLP5l2bf CynQtjn3wLKXyP/IqZbadinQsQ0xSCQ8KMHjVTgkBef5ml/WE74fQUoLZ5SG nQk7320m7iMbhf3f+bZIg6Xt2xyWfgr6e+5I1SdnaWi5OZZAJlzw7dSpWwek Ic7oTc9OwkyP7wiST0vDdjjbXEy4lO/p8O/L0hCtlh7WQdgzovHei9vS0DSl dvsn4cr/PhvZvJIGk267a3rEfeiT95tj43tpMN1w+IgbYV4m9g99I9KgE2vy Bd+XQU0Kfj5MMnAxtv7FQ8KiynqaqhtlQEu2Xa2F8Jtkq6V5KRn4sW/edZSw rNPB1JMmMmAy1zjD84mCusqidlo5yoCMzid/BcKxgkmyXPtkILCwpdqQMOlY 9kx3iAx8mh6esCf8caC4MidOBi5tcP+3l/BZo+r4/akyIPjJ7udhwjq33toq 35ABOqEJ6knCab7fqBW1MvB6/t69XMLQslQc8474XlAu6x7hb6QNYVuGZCCz auRSBeHsi2JG67/LwJkMsdv1hK3mVDne08lCgMPyu1bCv53h/VVOWaB0yEr2 EL5dYX99r7gsbPiqmk0hvE14j6+Cmiwo+j42/0yY7kSwxgyShb3CtvLThO8P xS6W2cnCWGf6lnnC7qapjcc9ZSHmi8rdv4TZ8m9cNA2UhewX067LhMvYH7lz nJCFLE9JN0bi98rLv06mI1kWNMx6H7IQ5mrrnM7MkQWJSTlvdsLP1UcqPO/L gmi7RAwHYf9LcydlnxP5+vcxrCO86ReT7dRbWZD6b/88dqMrr8DjT7JAetTp sZ5w6DMZauSULDgcqjXClhTTLjZalIXdO07ewe+3x5ofZVsnB6WKARfXEo4e cYY2YTnIy/3AiuMpb/Fek64sB/EhXBtwPr2FYV07DeTgievhYpzv6bWJOVJb 5cDnhf0o3o9mYKbPhLscjHgVPqcjTH1XQH54UA7sdnEYLhL7v6BZsRAWJQf9 /ktefwj/l9HU8N85OahwWKOPz+/rn94LzFflQKi1rG6GsPmLv9JplXLwuIZz eYzwnATHtGuzHBwuyascIpwXL1Qh3icHmn5ceh8JL1ga2Nz/Iwd35sLT2gmX dh0/0qQjD0ff/hF4SrjglNdeqqU8sJ/+11RCOEfb2u6fmzxwv/B0LsD9lymg oHJcHjK3Jm+4QnjfzkcfL9TKwwKHnncE4Y0jn01crBTg1KVt8TqE11xuUwt2 V4BrN+dC1XB/mJeJnPVXgPuGPkHyhCfzT/6qSlaA+vuvLwgQfnVQ9K5YpwJs Ht+Y94eYn6M/HLnH3RWB9FiPVEPY/5be8rK/ItycVjtRQXjvdolJgWhFcPlU /a2UsO3Tb6+schVh+bWg8h3CclFnIu6PKMLzXHb1ZNq8Bh1onFeE1MG9pxMJ b/zk7EhhUQK2/ZcW4wjTIWkVbgUlcG7rd8Dz3sPwgnLkkBJIkz9e8iLc+uj2 2+RoJbB2jfvnSbjeK6kyP0UJyCNS8e6EHza4Xup9qASP/Iz/biNcEAaxsy+V gJ1dc9yWcI68XABHlxJctl8zb0X47Nm5LYY/lcC31DnEhHCMfr+mM6sy3OQ+ NoTw/idrJQIFlGHI6XSQAd6vbcq/XD1lSEjxmNQirM+tWMJ0QhkO2t60UcT5 0bs1vU1RBuZ/4ZVyhHd/PzOcnqsMnPnHjWUIx7d/4Vd4qQy8kR43xAnz1QiS ZzuU4dsbiQhRwoUlllurhpUhXXGDrzBeL7kwxoZZBfi9NqcK4PWie7P4+FSg 3de9mY/w7CH2J4OyKiDYESnIS5jfxvdLsIUKuM2k/uUiXGRwhVHfVQXKfJLO cRI2UG4SYfJTgfw/Ieob8HocCtvSz6lA8JnvFWvxen9d/D2zVcAzK/oqB853 IvG0/D0V4PhMTVmD8+0rz/1erQLR/zLT2XG+TZ8rK1tVoN5DqIQNr18h8P7k oAqMZYz0sOL8Cyymt86oQG/pPh7s3Znh7Hz0JBAJmPRgwfESCqQGuUiQQsdc zozjhfUYFkiSoI6iI4HN583mEqxBAttTPFeYcD2ddUL0TElQ7yUuhq1v7pPE uJ0ElfMTpYw4nlbmnZb9xPf3lxyxd8u8rrl8lARHWMbpsWc3/u7blUCCfYdV nzHgeEzy83KZJJDw3xeHzTe3Y8P3AhIUMi45YhcMJyhUVpDgcZOfGrZe51OT k80kYJsFfuy3L8c9tvaTICtCkA17dyl/OO8kCXZ7nGfAns3bkjqwQOSfpcVC i3cxrDh/nSq4qdzlpsWLzW8IElWFCJ4EOVq8oG6Krqoq3LDca4qtv5v1HwOo wuuW9z7YrXabeVvsVYF6JfISLR7yVr28RxXOa4w20OKRMix3hagCp1XZMi2e aOM+uZOqUPfy2n94/3zrfx2fSVOFL5etT2IXLspmVtxShfqqwLfYBlPOpXFP VCFduVIYn2/rx9Mt1g1EPpS+IOzZqjG6gXFVCPqxSxbXR9SwUzOWVw26Q6uq cT3HNb/WjoqoQTOvrBKu9wNlRjsrWTUILhO7im0srOHLs1kNQsK6Y3G/eP9L vXbbRQ28jy3uw/11yXayLmK3GqTkq3Vj1+SZTdj4qEF56wZr3I8CFr+1f4ap QWWmkybu19eXPNrNM9SgJ6GafT1hBZI84+f3agAf/O7g/neOjVV49kkNEsVL +LgJx3X12V0YVQOmyV+nsPsiz2frzKtBcrjTHh58HzTOap3ZqA5P9L3Z8Tx9 3V3to+ioDs8XNvHg+RN4zJey5KYO6ulCh7BNWYOedOxVB9K7g6+ws+9JMkSF qMPY9k9BgoS3/k24+uaiOhwtSSndRDjcZqj2+hV12C6VuoR9K1fv8+E8dehS eWchRHjBfEpT+KE6XLBj6cG+l7at1b9dHequbx3C90Hf2N056FEH6XItMRHC LHrMQrwUdWD8sMcdexflqXf1tDo08V1uxT6rwZV88Zc6/NC4zYzvl7LTfo/3 L6uDrPUafez1KiL06zeQgbRzNBdbL+aoHJWPDBb2Xu+wD3S22ZSJkkF5nSWd GOHnEXFZu0hkuG6x1RU7sGFco8SGDOSSyd/YNVB8UNmZDHdUpcTx/cZZFXSz cBcZfkvdN8N+UPKH+1YgGU7XUc9h0yk+t5IIJ8OroqvF2A634uJyYsgwd+HV G+zZTI7ZzItkaD+fwiyB+4enXYEviwz5p43EsdPOX9qTdoMMZ7gTdbFHWF2v cN4lw3lJfwdszTiRd+cfkaEh/6c3dvzCEBvHMzJYp6kdx35/9A4k1pNB9YPk ReyjB1UfxL0ng5+s0xPshtEf48ufyFA1cOsVNv/ucrHjY2TwFGvrwvbpO7bj 7zcyfO3oo2KXOxmlhP0iQ3RQ+zQ2Wxtz49wyGbQCy/9hu1g2LwWzaQDJ/CqL JJ73umTtaU4NSPSP5cT+Y+gY4C+oAXtcDwtiW5Xz3/kioQHvT0ZIYGeRP346 oKgBTPuy5bEninN5R8gasDZghIStJ7ffZo++BqwRdtPEPpuncGrARAP0hpl1 sfuFvj1z36oBli1jBtjK6aVzPU4aIDy8gLCPcYYpO3towGU+B2NsEWa6bPsA DWBO6TbFfv4nkcP6hAbcK66leX2ojcnrBMIBHSbYnt+4oswuaMDNMWfa9w98 PpS+zNSAYEYXwKYbzppAeRrw79GAIba9h6dkdaEGSIz/0MPO65Zy0yvVgNfn cjdjzzp8vvi0UgM6LkxpYBu3FDdp1mmA+OiwKnaqeTB96RsNyAhLUsKm1mjp qnZpwOmL32SxTz55XqAwqgETS4HC2F2qJyl3pjTgE6TwYUsXbRGQ/qkBhaft aOdfn9OeIMqqCW+5exmwWRKpB3gUNMGXIjiK63fWjUVm0V8T+PaY3cH+T23t zy+hmmB7uiEH+zszd+OHY5pg9U4xg1bvhyK+D5I0IVqnIgFbhk3r3r5iTXD/ +sgHu+bJPq3mr5oQxq+rih16zpfl6Q9NqJywk8eW2xPYffOfJnRqB0pgJ6+N ijjOoQVzXP082O77UqvVlLSA7cXsHzwv63Uzk0U0tIDVtOcH9sv1OZ5r9LWg cnZqClu+spB+xEoLHn96RsX+yVlrluGnBVqUuLfYRWMNfPEhWtDds+s1tsez lvGgSC1oRNvqsOu9e85YndWCi/pJFdhhhgNum1O1YMKo9zG2Is+IknQW8fyK 1QPsi8+n3y4WakGTWH4+tuml+ZyJh1rQ/yLzJvZv33+B3RVaoHep6jr2Ll5W 7odNWvDnY2gmtrK/qLPXFy3w03t1FptiJC3n8F0L9GeTE7DT+BV/G/7RAt2D wfHYf19qZfGza8MOg4Ro7PuZ+geZuLTBmFodhb0nwMjgu4A2zI7wRGC/FrQZ aJbXBt1s6VDsY9PbSp6qacPVHGowtuorl5hbOtrwjv9ZIHZ6kJdktIU2yFjH H8Te1xh1QN1HG5o7Y/dhexnI2v4M1IbgyPw92AcetmtVhWnDFoM+T2yfqzLM ZgnakMx+cCe2H2f7JHuKNrByvXHDPngqsqs1XRueKRm4YgcEtt10uaMNk6nb nbGDXaUPU59og57qC0fsUJMIY/9X2lA/E+NAq4dKK9fPLm241XjDDjuSX2ro xIg2/LqpbIsd87XlRBrjZvBXXr8V+/SLo6L5kpvhQzWjFXZSmnh1pdFmyPHU t8BO9W52b91NPH87Z46ds0H0ynzOZphZ/kpz0dPgD8KfNsMsk6oldpnnKx5T IR3IvCVnjV3LKuhw0FUHulOiaPFdwgO1pKJ0ALLItHynP78S7M/WgaevWZxo +bgKL6U+14F/Dwdp+xVpDqFaUXRg890i2nk81mtqYGDQhcvs22nnZ31X7G6l lC4YSbbswqYKHU0JMdMFL6vF3dgRSS2HFb11odu3dy/t92hR0oWaqAulL5u9 sPMPRRhkFenCzbTJA9j/DbSJb2vRBcMdfL7Y721lmdd804UNiWK0ejOqdb6N UNeDAiFSALY6V0z6l1A9OLFrLa0/LBg8h64G6UOvgW0QtucPQ2VbfwNIPODr j6024OlTPmcAN7IN/Gi/f02xtySPG8LQ+0s+2O2PblKSmP+DH7qa3ti5Oa+E f53/D5LoL9DyY9h1zbf1CoLHU0E0lybr9XdsA7B8LkJ7P1X6GW95G8CkYhDN hysN7a9tNYJe5zM0Z74MzuPpMgLuUAVavOfNt2fPuBsDj3QazTxnprv/9BqD 21gyzT5bdKt9XUxgj+k5mhnCtSr8hkxAIWnl/asF6k8O+plCAXMCzXytYULf ZkzBycqH5gs/qmODwszgTps1zXptgscm58xA8IY+zaNFR476hJgD9ZYGzV2/ TyYc+WsO+2XINNeZp2bGxW2BlAEtmqlWZYZn6C3Akt2AZjq7PmpKjAWEjBiv 2MJiln/RApajLGhehjL63AhLOKS2Et+k+INcBZ0V1MpZ0pzA/8umI8EKFI+a 0/xPR4VtlNkaOtea0Rzotu/lr5PWEBVjSrP8N+u0q2u3wrX8FVNiNb3Q5a3g sWPl/cg13te9hGzgt9XKejxpV/rO5NkAv8UWmj++GyosELWFQ6wr+d3mVIxo vGoLlr4rLq2V9gyTsgNRhxXXhIiZyd21A0et1f1MZnh+3mgPjxRWnCOeK2zo ZA9Sq75v+zZ5W6o9VKituPrYXzqfdntoMVzx9HDM0iseBzCwW7GENeuC1A4H GN69Yr/zmXVLlx2gJGDFj9sUzvV2OQA5bMXi1hsHFgS2QVrEipMaltTEPbbB x8gVc4rM2dRkb4Py1fNPO/zFb/fHbbDt2IoT6xkNazc5Qvmqj/GKbpB0dYSl Vadev+j/JtsRdI+vuFCBuTmU4gihq+5JPvk9S8wJXqyaZY5esHaXE6hEr9g5 tfeN6k0nKF91vtrD6JxxJ+A+sWKfpntjbxW3g9GqFfYW2S4e2g7bVs3w4WFM YfF2sF91v2VF6fav28F01R9+CgZZqTqD9qo7bkaqoMPOQF71qNLY4welzoBW /fuRg4HkrDM4rfqYNjXcSW0HeKx6uTzkyemA//t26M7j9KU7YPuqrdXMzY7N 7wCLVbM36nUf1nQB3VU3eqj6HjzsAgqrzlc5fvruUxcQWnXCYvPNr/9cgGvV m7qvvZ1f/L/vPwj6tbz8f/8PzL+L5w== "]], LineBox[CompressedData[" 1:eJxF1nc81e/7OHCJrIZsZe+DcDhUSq+rjGTLzE6K7CSbUCFZUaSUkTIqoSgq hSIqvEsSKck49sgq5Hvf+P0+f53H83Hv676u+7yEHb0OH6eloaEZWkdDg39F Epdu3xKo3mcU3uaTnj5JPGEkCXq4ZBKX9prknE6aJKoDinKlXB4Sim/TLzyI miRSVHptNiU8IX7mzHRyhUwSdQqnnDe4vCSUHn0mB3pPEiGcy0+Xs2qJsrjm y5nHJonUZM19i/H1RMPOA5VHzSaJh1viaueD3hGHIwTFizQnibdxH7VnnJuJ uSKP7njKJDFxfuNAQOF/xK8H4xzCIpNEaO1D0lzWJ8L8r6FI2mY0H8wW/Y7/ QoDfSw26vgmiQfVcxYjzD8KAFPVge/wEcW8ve5jyw26itLzabspvgpjsdMr0 LfxJ/HVv4e1zmCDCtjH2TGX9Itp07dUslSeItDQD5/H4AeKSi9dYW8040Xi5 8xTVeZwY3epvapo8RsRcS21IIU8Qx3NEo7S9xghZF8JK6eEEwdMq29mrN0b4 MFwO9imcJLQ2q1lvZh4j/mlSqiayfhPZdgHmg5dGiWzOLoMkgWnCMlPrRq/H KKHRd+GHfMY0UctSn+tnNEpcOv+Fxitthohl6ss34x4leGqD1Efj5wjdx1zG VfdGiGfJoq1xLPPE88Sv2XLJI4Sd43sn2YvzhA6Tjp5o4AiRu04gyu38H8Lt UkNHkvYIQYbqt4NBC8SHlMBMGB0mWre4Hrk4v0A8jks3SvsyTAT8YBuS8lsk hEc7PY7WDBNVYU4sLqeWiKHU6fXa6cOEzgsGg37nZcLPoe+9lN4wQV52nOGa WCZosuSlHHYNE3FC9k2ie2lAPPj9/k3iw4SvY+UZ09c0cM/l8ZuXy0OERr/3 67LWddD4aqL0UOUQsStagKeJhxbU6oztpgqGCFmp9279NrSwRfVV93L6EMHu KsnO3UcLXNS8O/uDh4ie0a6jATPr4UGtxUmZA0NEW8KlsqTddOBTwvDjDWWI aJTfzVQQSgdpA5ST5ZJDROmpK8Vf6enBfGfwXPLmISJiRmdZlWsD2H6ljLJ0 DxK+qfOHTaw2QCv5bZfU50HCZefdu263NsCDb7qMiY2DhFHgOoMMCQYQpi3m IJcPEkJLTzKWVBgh8pj08O2kQYLj1vEJzmBGqLu4R6cnepBgJNg15F4yQqKm XoHd2UFiPNxz2O4gE1iENcpt9BokeoT5CP9LTPA21fk/VedBoq2mITmxmQkC +M8cy7EfJKroxFVfWTDDGbn7QdzGg0TpnY/x7TeYQYNmZ66IziBxVyv858QP ZrDcqknrqD5IJMR0xgi7sICiXeTXAJVBwnZj8pfIgI2gsr4lmCqA9v+AkLnx fCNcmfcq9OMdJDQMRsMe0WyCoQcOUQocg4RskrZEb8wmOLCj1UqUGZ2PPBu4 +H4TsPxadLaiR+f7ePsDx9bNEBeholtBM0gssi/7aqZvBtrd7SNDc1Ri4vH9 t7Zdm2E765vuZ7+pRK+ZFZ+f8BboY5HlKhmnEu/SymrvFmyBKNqn3+ioVOLD JhUmOltW0DAMqlftoBIfddmuNYWwwh0Ym9f5QiXaL45JpGewQtDzOMUzrWg+ +jwNuW+s8NQj5TBnM5UYUj/3aX6BFZ4XxjLHvkfrR9g71m7fCuYcUu5cjVRi cYk73NJ6KxxreTN8+g2VoN07vVk0eCt0j6uOqddSCcaglpuj17eCGqXBiVRN JdhnY55FdmyFTYEySYovqIT02J/Z+0fY4F4i+w35ciqhINt2wT+QDQJj7v7K eEwlVFxLOQ6ks8H2DLfs7Y+oxIF+V8Uv7WzA0dl0R7eYSmiLHazOnmeDgwVH NywWUQkDR1Ejdx52OL6Rk/X5Aypx5HunxzpLdjgoXeNy8h6VsON7uvjOnx0k r1T+NCukEk5WVy6lprGDc5CfhVEBlfBu0yuQ+cIO7rlSOR55VMKPg7RrdpYd kq5uKU68SyVCDtPXv+LiAM8jv2Wr7lCJmKYXvWbmHGCeEfNnXy6VSNh4/bSQ HwfI/XmflHSbSlzR8aMdvsoBdXM14qM5VOJ6zOHLZWUcwOlm5mCKnFknJxT+ mQP6A2aG3mRTiVw6loc6MxwQynrMez9y4YEBNU5OTlAVab9Zl0UlyqsyrQtN OWFLq3LRSCaVeL4YPOTrywnZO+h/xyHXqFoGElc4oSz9Z64y8tsACiPzY04o KBMI6L9FJZrKWdNaP3FCn9OgaCZy6/SIeOZvThDkiXOwR+5QbHh8kp0L+sj/ +iWQu73vqFOUuIClZsvpmZtUoq8o4uO/w1yQzmBY3Yg8NGJ7tMGHC07u/pdw F3lCWnUiJZkLFJzTMmKQZ124ztqVckFWh8U9b+TFu1ObSB+5oDQoNcQOmbav KeP3JBd4lzC3GiMzit6TqdrKDdJGzf46yJuPRlfGkLmhwJtXThuZI/PYIRNj blATLH6B27d1Ee38p7hByzl0Ao8X2s7nTE3ihub4oMu2yBJH5mdKi7nBKPWO mweyTFrr+dAWbnjzKV43AlnhczG79gQ3LHoE0KQjq7DH57Cx8sBS2tiRx8h7 jU+Su+R5oOVrmeQn5AOJmq/yDHlA3V5kL45HuM7jgo+ePHCDspzPi+JVRS+a shTPAz3W0wOArBpCc8LkPQ/0WoqrpiEH7PQyDBvmAd333rR1yOVTXbsKmHlh v2/B+jlkpZPPWJa1eYGvQkjAHt2fj5j0DMmFF7Rmbk9dRS7+ce27aTQvcCpF +DUhy5r7lRS+4QWmzosbNVB+iKmTLcwPbINfHd4S+1D+OP7LhIij2+CIlZ/k WeSsis3S98O3QUhm5MQrZD6FkcV1L7fBsfxvIVooHzn583Ie7NkOyw30NBYo fzfM8Y3RKfPBJ/f9h0NQvmuUXvoib8oH/Lfvcb1CjvT4+8rqNB/49Xn6r0f1 8e/Xl5TiEj4437CrKwZ5riV5t40cP/h/jJmKQ/WkErdONFqfH4yVuS3eI/se 9N5Y6s4PLE8saVnyUf680P/BcI8f1n98yhKFTC1kvPBIUgCSBzNkfVB9Spzw 9/yuJQDfjPj/FSI7CfdbMJ0QgGI9sV89yN1ptdL2uQLAWcHUZojq++v5sBZm YUEoHaD/w4/qnwdGK5RBEOIEuJYNkM0XrG872AuCZVfKchjyx1O7/cpvCkLW rYvDncjH5f9uIm8SguIsO8uL96mEXmf0HR4BIVBqyjxfhkyJ5lSjkRcCwRG1 wG5kuh8K7s1GQhD0I+WVInp/RmKr1j85KgQXe5y4rJA/qejduOUjBPKzPqrh yDkJzo0eV4SAr7tv9i1yrOrMUbM7QkDnH3ZlGPlUf+SfveVCoK4Sx7wJvW+w 75bUxnYh2JiuF6+H/GO0NapwuzDst3hjVIVcl+4okCwrDLGbt3G2IxdpTpQF qgmD+QO6lgnksJssfdr2wlDRs3OP4EMqceJQeoiCNxoflzdNQdafkeDgiRCG ss6u8kPIfPoH1AdyhOFfdp+LNzLdn+aOpkfC8IIh0DESeTjX1qf8tTCopDoE pCBXLgZkX+gXhnEJwU2PkHPyN+z2mBOGvFD51GrkWNMrLaaMIhDV+9OwGfnI /YfLotIi0PC+8iQVGSzV0lj2iEB5mHLrb2Qpundyv3VFQDm149w/ZNZiy7oO GxG40/s8lBG9//PW/bY1HiJwfM943VbkbgbfmYIwEdgqHOO0Dbn+0br4y4ki MHWizFoEucg+USwwSwScE/xKSMipLPzPHUpEwKXipasCctiTQhPtGhEYYroQ p4J8/NiuYflPItCbXbl9L7LelrpI7l4RYFEx59+PTHlmsm15WgQWNUVTNZH5 nH+W9NOLQtLt5thDyHTsXoeauEThPh0TjT7ySNVid5mkKFAEQ/8aIn9yjQ24 uUsUUkkdYYeRK7l4WC8cEgX1vJLLpsg5NXfy3K1EQSHxyE5z5FhPJcLUTRQ4 mUV8LZB9tlW37QkRhXyw1rNEtqoz8BSNF4Vsa7PX2Pt9vtGz3BIFBnGLbmwp AdebU0Wi8C3CIRebtXGO0vES9T9hxoE9f+bC++oWUah9zUvB8/8QZncq+CkK xfGXGfD6dR+yFpKmRCFw3a1kvL+iQLmUgPViEJo21I73nyr+XNqBQwx0Jye7 jHA8/ztUc1BcDD4vyt4xQD4R+uWIvIoYsOZzKOoh65OOT3IdFIMcRd4YHK+/ l8486zIXA87QsW9ayPljFy7knhADQXuCQQPH8/FdXsUoMRi8bN2vhuO1j7pf /40YHMwK3orvzyV7noXjsxhMMxNmssicdExtHb1ikCs2ES6F7N1AcnWhEwe2 wpY0IWQJU7fkc+riUEV+O7cFubU82EbHRBz4vcQfsiBH8MZJbD0mDknr79sw IH/7fr/yVqQ4RHsmZeF8TDk51lNRLQ4t7n1TI8g0Z08pTRAS0Ozxp7kBuehn xFK5oQRcaxw4/wbZWiO5PtReAuqcAg/geihnemTNclYCop39O54iu1+ZPidR JQE698oS8pG3zdEZjH6QgGXHluu5yPVHOHked0mA63jI4yxkEUGV+/uXJMBL aSNbOvLXAv9Wm72SEDz6+mwsctTGmFuiepJgfNCTNhqZ4nXNZchaElSPWV49 h5xEqVj0D5aELqmokRBkrZd/xVIqJWEk46QTrvdpYZbxI42SYP9KxsMDOfv8 9gqhDtS/VCraFXnx0F79oj+S8DLhvzEn5NLW0DMNu6SA17E1zgo5/4KTY88h KWA4zTxigXxLRddwwUoKThqq2Jvh9+AaD2lHqBSkstaEGyGHH1rm1EqQghPa 7+QMkP3+9tHaZ0pB2STfhC7yMZtH35KqpaBj38i9g8hWm643FHxE81tx3NVE NqoKL6/5JQW0d9tL1ZH3ChkkTdOT4LUE63pA5uilqlvqkIBk2nxmNzLz1WaF U9YkEH6TsLgT359WOX+sOwlGDKJTVJBH8s7NPUsgwaE6xUkl5B5L197WTBJc UtB9oojczmT832gxCYICvOLIyG/cBO4JfiLB/q5AR3nk53z013b1koCR56Gj HI7Ph+HzxjMksHFP8N6B4xP28ZTrBmlQPvnykiyOj3yF3TluaYDM8UcyyFe6 M3UzpKSh4853qjSO1+WoXWW7pUGoT0Ua2++3CduAtTRofatpkcL5k6u6vOwu DWeCtZSxHc2ER3jCpGFQ+FOuJLLlBsav5ERp0K5lFcQ2eDL2RidLGnab5N2W QNZw+Vx6rEQaZM0IRWxV3ueZITXScKQ6uVEcWaExJ+7qJ2kYM7d0x5YMvhhY 1CsNcceAG1tA1vtE/Yw0fKIsNIrheHeZm3RvkIETPLujsZkT1OAPtwz0Whfq YtMQYjvYSDIwrrfMjT07zrxNRlUGpHZTh0Vx/LMmN2joyoC8J2c9do9x+28b Gxlwad9bgN1O+7L7jIcMvKAVSsZuenTnQ0KYDJTqBUdgv3aKq8xLlAG/XmZ/ 7ErO03mvsmRg13ysD3ZJ3ZErX0tkQKL8yWnsfH+ImKqRAS89/SDsW1KSniyt MqA+yBCFfeXrJmuxPhloqbydih0bO31QbVYGmBq67mGH7+mkmDPIQkxJ6Bts v5FqYS8eWej5q/8L2/1m/uYYkiy89uKhx+d1NEhcyFKVhW8dd6WxLZfPUCt0 ZaFtQ60JtkGxzeePNrJwtEolHHsPm/RDurOy0P5Xtwe7aZ1Vw4dEWZhuiOTC 8XeYvPgrNUsWbC+L62OfbxnkJtXIwuJmtmrspoSCcH36HXDE1Oglvl8HFtLh 1Es7YFN79TTOl6m/lu72GTvAX8B+HwmPH4qJknqwA17H6MRgFzRQKyubdsC+ 9zl8OP+movNFf2yVA/mnKRo4X8/TSc1IXpODooTWCJzfXNMWWybz5aC2L6lu Jd9/RZMqK+Tg9oEAZlwPH2oGbPU65SBeNS8Rmysir85bQB6uWGUn4PrJ9/7S vVteHr7XtLzD3uPAsEAL8kBbP8iggPdPOMtfPYr6/6oIwS5YkrhWkSsPwqSz lrge946al0aWyYP7/nMr9dn0Leq9bp08JG2zfIk99ayf5vuAPMxNugvjehZQ +0SJ4FSAlhO8X7AHKMPVffwK8EQxYh2u/2LZ9YY6EgogKPVUGvsAn9JJ9p2o //EbgdjOC8k371gqwCkmTyb8PXXFYKQ20EEBMsvMpLBfZWsO6bsowAyHuhY2 j/a8yqy/Ahg27T2LrXHD2LbxrAJohRtex/YeKzx3K1oBNi/4PsZ+e8W2RStN Af78pevHnh4on92WqYDu78wSttAeVv7xuwrwZccGDmXkgJ81J9PKFcD79+V9 2LkUviS3KrT+Usph7JboM+VEnQLcF3t9HJskJ7We+lkBSFNVF7HNIyJIz7sU oNTl8nXsyNYOw6Q+BbjekF2I3REUn7FrBq0/dOkt9oam/pqNSwpgE+jRhq0o DIPddGRISs74hR1bP6V8kYMMATS/F7DLt+nZ2PKRgZFLhAG/tz0edyLJYmQw cyvair25+l8+vSwZdm7P2I6tymHZ/FWJDDEwLoZ9wrlk5sEeMgjN3tuBnVzJ zBepToYO8zZl7GGHFy7SJmTgunBeA5vnMVfiPysy6MSw6mJrMHiXfXQkA13O NmNsb6uGzruuZHAduWuOnfFAhDbYB7n2qTX2W5oQKcMgMowfN3HAnjb5bCAa SYY9MUFO2EJ5cmfmLpIh5TvZBVvvb/SNd5fJsJs/1A07QP9ndWY6GU7N23ti 52apUk9nkyFM7Ls3dsvvlM3aBWTINVvwwV7UGqXwlZBBHJ75YpuOZka8fkUG bTZFf+wHKYeb3FtQ/BZsA7Dtup84vxgnA03PavvmHfzrNm9RBG6Xv6dW4hfu J9nDpQgTXUIr65341KxfLqAIqhGcK/tJliD5xkoowmR2x8p+qwIjr9vJKQJ/ lM9J7KH3na8UVRThcuCPE9hcQsoDG/YpguBb0ZXze9UNKD3UV0T/V3vssF/B fTdZc0UY2NFkhc36zPt2gZ0iJE/tscAufviHLddLEcoHHhtiT11jmbp2Ge2n 3YbA9nOTL478rAgq18+s3H9d3++B5S5F2PS8nQub2+GpYGi/IhQF7GLDfmq6 P9F/ThHS7CYZsf+omXi68yqB5CvfWZxvIaz+sua2SsDF1vcR+33sHqdPx5Ug xDalCZufnibDyFMJ3K11GrGr/sSw6J5VAi2Ojmpsml/Xh4hsJUhcLivBNrK1 F3lRoAS/nH48wM7+ImqlWqoE4fVCK/Vx4P39BkqtEiyQfudgnyuryif1KUHb t9dXsVvlz3XfHUXjg68mY4sVHuQRm1UCuOGdiP36Vku0AAMFfX/or9QjB+/V lze2UOButEkU9vGUI3M8PBQopbidW6m/mJ4T7CQK7HrxJXSlfmnzbiWRKeBo oBCMnRfi1rZJlQIZKjkB2NqnpjUZdZH9v57Gvjb8NPSCCQXYonJOYQ8eDy2j taHAnHmc10r9Wm0QX3KnwIEdRW7Yk/Rs9W0hFGDSVHPBtizhP1kcR4HGqL9O K/GzIbHEZlDgZsXoUWxxRuUHx+5TIDNXwB477hEYqj2nAHXzVRvsKTu9Sa73 FLjy0tIK+wizZcpEJwWa1d0tsV+VHVNuHKaAYF6hOXbCxuDAUBZlqGa5aoJt fSz5hYKMMtAUCRpjS1UWrOvVUYbM49aG2LOs1Zpprsrw2kDeAFvWXcDcaVAZ yEOG+tjH6oNPoMoFyvOFlf6eXs23Le+qAH9h6cp8QdyiP8/2qsCs5u2V9aJe +gnkiewE/ZokM+xk50brJoedQGpTs8AufHKqja9rJ5iMnl45TzUDr7HbkV3Q wVm1ct7AuPenpZ13w4kq45V4kLeGpw76qsL4x167lfuhtf95w3sP/Ln/wRbb /rearIH7XkiyWVoZT9MQkSsSqgbqNytXnHXrDd9c/D44UT+/Ylq7myeb0glg qzdYGV+aoNr58TCAn3T0ipPFnnM+bQZ4+z1vxacr1Yxu6u0HqUMPV3yt5lQ2 e+t+sE8qXHFV452pi9YHwN13tT/7xfEvf74egOX2nBW7HNz94qSlOmSWXF0x bYByhetPdTjeFLviG/nkMjdXDbAdXF2fq8l/+9iEBmRuPL/ipN8vIrz9NSE4 5eyKVZt5Q0amNWFGI3TFfYVn/Fx8tGDBM2TFrfPnos/81QLnllXXaiVfi4w8 CEPCYSvu0SlXu7hOG2raV+ejMezoSQzXBr2HEavW1p7iXtKGfO1zK16G8nVZ gYdgv+3qftTvt0lW0OhATM6qo7nn9D9G64Bz5qoXdu1g7KPXhU9r7V5Wx2rm zunCznurlhrTTbmxUQ9uPF11dwTFibiqB1sbVh3E7JzptF0fPnWsmj0lveNi tj68G1n1t/9+FuQLGED84qrvsEoH1t8wAGXmC6v3WS1m7y9qCD6cq37lI6gp ec8QfvKtenkkzZ7KYQSzQqu+JZTFp2ZqBG0iqy4y+JBwONkINomu+kXIXxqX FiOQXWsf/xX+7w27MSSvjRfWZVgUtTCGEYFVu8Zfq/131RiG+Vf9uJl06Wur McyvWUiX4/siz2HYL7jquLp/CkK2h0F6bT5W/mn9VxmH4caaU04Pujp8OwzP 1xzzer1a9TYTyF5zCKfAFpEjJnB0zcmZl93fZZjAhjUXkOgbfbtN4P7aeu0J 5yavC5qC15o3TK/jrbYzBds1myd/fSd/2xROrzlPoSTs1oApRKzZpeFB/wdp M4heM8mx0GDJ43+mbSsJL7hvBufX3HmootRs2AzOrrltltdbR94cgtb88XbQ DuK0OfituU+m/3Fx6f88/8h4r8iUOfivefmpT1mUp8X/b7/jaxO6rtQCfNes q6ClGTJjAafWzFSv+uU0xRI811xvK3/S7bQluP2/8+0Ijbr3xBJc1hy91Hh7 eMESjq9525ebH2aW/ueiYu+55eX/+f8AKzxyDQ== "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->{ FormBox[ StyleBox["\"time, t\"", Large, StripOnInput -> False], TraditionalForm], FormBox[ StyleBox[ "\"[\\!\\(\\*SuperscriptBox[\\(Ca\\), \ \\(\\(2\\)\\(+\\)\\)]\\)\\!\\(\\*SubscriptBox[\\(]\\), \\(i\\)]\\),w\"", Large, StripOnInput -> False], TraditionalForm]}, AxesOrigin->{0, 0.2}, ImageSize->{500, 300}, PlotLabel->FormBox[ StyleBox["\"Time-series\"", Large, StripOnInput -> False], TraditionalForm], PlotRange->{{0, 100}, {0.16000138740420494`, 1.0999998555999078`}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.406373286908524*^9}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Super-Position on Null-clines", "Section", CellChangeTimes->{{3.406361911712035*^9, 3.406361989219633*^9}, { 3.406362033712138*^9, 3.406362089949944*^9}, {3.406362133547482*^9, 3.406362192396729*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"TimeSeriesPlot", "=", RowBox[{"ParametricPlot", "[", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"c", "[", "t", "]"}], ",", " ", RowBox[{"w", "[", "t", "]"}]}], "}"}], "/.", RowBox[{"Flatten", "[", "ODESoln", "]"}]}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "100"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", "All"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", " ", RowBox[{"{", RowBox[{"Dashed", ",", " ", "Brown", ",", " ", "Thick"}], "}"}]}]}], "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.40630652880532*^9, 3.406306560117387*^9}, { 3.406306592667151*^9, 3.40630659684063*^9}, {3.406306817370745*^9, 3.406306849339702*^9}, {3.406307362197498*^9, 3.406307394039895*^9}, { 3.406309158566449*^9, 3.406309217477562*^9}, {3.40630938318798*^9, 3.406309416380416*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", RowBox[{"CWNullClinesCombined", ",", " ", "TimeSeriesPlot"}], "}"}], "]"}]], "Input", CellChangeTimes->{{3.406309235427411*^9, 3.406309245264739*^9}}], Cell[BoxData[ GraphicsBox[{{GraphicsComplexBox[CompressedData[" 1:eJxFWAk41F8XpkULFVKoKFt7pJ3kTcqu1VJUpEWFipJEycxYQ1kSRSkmW0Ih 2WVNyNZCK1lmYxZ8CvGNaZr/feZ5PK87v7lnee97zvkp2J3ff3KSkJBQsLCQ 0MRf2iXnyDR5bwjxVylUdpz39kbgfruptQPbkPO/FVcn8Ozl479yhX2wu6qS h+fbsOfZsH2g5nDBcwIPxC9fO7XdF/RXoVOcubiLvmggyP0OfkbUT3MWfP8O HCRVZk3gNbFx69TPREJShbDRlYsv+zl6L9aIA+3U2rgcrj17p7lyP3FwNLlj MLE/GFEuy8yIg322+bFrXKyk7Jrnnk3Gx62sSWXy/36fjLHiBcSJ/S/zTex3 rnkC/6VXvgRy8adYg5vv1VOhMRx47iP3+59znLifVKQGLZa4yd2fNla5MCo5 FYlbL4484GJb5elpspYZ8NG61DUosCcDPY0r9R9y94m2vpSBsAyMLBuXzOfi nBfelYbzXiDogPXZJYu9sZ63XuDUe5b7xP5V8sXbi/a9gFnU/Cs/uLg1ctMu j+ZsrNHYJXRo8T/7s7F+e2rKIy5+maQcQCPkCrCGk+bpVV9yYeLzwGl08T/7 82GwlGXqsMQbtUxSsO14oQCnv2/qO3GwCJp6R/exlvyzvwQN3RXXgxW84bRr ZS+7sFSApQevRRrQSnEGcu6DJ5359pdhmuFXdxklb+itCzy/1bNcgCfZ3mu1 SCpHVtPaFcvOOPPtr0Bwz6yGHU7OCOtkr02NqhRgG3WnkrOVNTijurTzlIsz 3/63SFWXcX9+xRm5W34VX5hXK8B2lWpHVyo0QPSQyaldN5z59jdgp8trl+0B ztDRm/Rq/Zv/8I4Bco3I9ya4L7jlWxH+z/5mnPjwpGPooTO2+LWSa/3+wxKi xvEVMe9x4WGuzWjaP/vfY+2eKdm/C7n2b7cI9df7IMDXko2uHbP6hHw5k2qZ Bmf8Dkz/FZj+CYoa26b7dDqDfG2bm9PUVgFeW/79cIv0Z0i+GmhyHHHGF56/ n/G16wFNeJ4LKjqbpQnl/+EPWRXe0u+/YtrXe8Pu6i4o7lhV1LHqGyylJNbO 2ecCs/pdmvXE/7CfxOkwCcMfcAgPoQpdcsE+Xnx+QMpOmBBxzwXxM9O80x79 h1myMeJuie0YSjivNb/CBTvkWnTkWtpByBKybOt3gZWPdla0cIcAL3pbXZIz 9SdEbbxNtZddxAZePH9C7kFZ/pg8AUcl9tuqBv6HJ/0oG3t98yc6VgaZp9hc xJqiCQd+IttQq61Ui4AyyaoNBpqdAhw6kLawmIs7Ds9WCI+9iKWGYcqGYZ3Y aN1efnwv9/c2DH2kUztR6i67ypeLz5UNz15H68TnJ+pDHu0XIT9hvk4Xsh7P rzQ6QsCMIM2OLdFdqDl44tZzLj62R0V3lIuptgF1XicIkObltwvy+rTx6w4E 5OdOS/My6Eaw6vdubUcCygdSxesMu7HDt2N71EUCxGlxs2lx3VCiUXaqeBCg bfTQr3ioG+FjstJmntzz7n3ZSv7dja0ee9x0SQRMnwj/3h6EPujaeDqIgJbM 4+ShJz14UqdfoxBCQEadd7JPcg881M/MH9VwhTBPbSnQo/244v6QgFHGFJll FhRMnn2L/v0RAbsMppw6f4iCM0IZGnKpBAzz+EbB+QX228OzCGjrX1FtMpWK xo6SOUtzCLjMuyBUsL7Pu9nwkgBbq+vPjs+g4nNE4JbqUgL6500EgAq3zT+1 ht8S4Bkq52ifRUUX3JVn1xNwgXchqdAnupvsaCAgtsx+9PgrKkTuFupM/kwA YyIcs2louSC2UKibgDWs9x6ux2mIKTa8HU4nQG5TmZTLGRpus8+e1V7vhs4J +hbRcLohpERkMhFWMxwUXCXpoJs8id00kwhFI9lFt2XpaFRt3F40n4ivvPtB h5FlXBBJiQj7i2nKJ0rpOPS6eM7QMu7znhWWnhV0rFjPUHu5mgiRm0syS97Q UebUl7Vdk4gPE3SQY6Dy04jQTAMilPVH3uECA4evDmo+NyViP+9+MBDlHTJS eoCIlLwW8WlXGTD123nspB0R9bUTiwGdd2U5okQi7sum+6c3MbD8c98PozAi vl2WOHpKvhfVvaNT3K4QYTRBV+VeVFlP3nn8HhG9X57O6VrZC9Uq17eSKUT0 9ZzJeuXaC614h9hpt4mospxwoBdTT+gS5V4QsUprwzYFIhf7XfmkXUbEQ5G9 R0TqevGZE9KwNZmInbz72Yvon2ZrLOuIECtQvH/icy8WF9R60b8SQd0s32Cs 3IeOeh2VbeVElPD0og/ZUbUb11KJyDv04XX6+j645evZbRnm+vdismuARx8S tqm3abYToZVE1Ewi9kEnIn5HrQgJeSUONpOD+qB7TLPQQIaEkQVtj4ua+mBa 94Z2VoiEXJ589WGG2BaNA0tJSF54fK1tZx9unbTk6G4hQc08Ooa2ggmVJuHd oookvl4w4XdZr4utT0JhUKlYlRYTFc7qyy2sSBCdYh4i5s0EZ//w6x47EjJ/ TRCciZr+mOI2BxKOsWu6t9xhwmXg4/TM6yQYpCQHKH1iIlZ60LbSiQRVnr4w cSev9rNeGAkn3l1uyOllItluFzmITMKs6wXb70qzQCgcfxwRRcJ7Hj9Y0LKQ EnHLJ+HF4VNCCkosKH7Z6rv8HQk6EqcU5+uyEJws/gpVJIRPpNeQhcxZB+Sy e0i4dX5tr9MeFpSyCIO1IyTYZBwoCD7HQr5jc6rpMImvvyxU6+nmmkv7YNvv mN+vPViYvzcquHaVDxIrdhn8iWbBnr1/5Mg6H76+sNB+omFFnpEPdlZjjkIS C1nC8xV9bXyg2P6k43gFCz3mh3+pXfDh85OFTTm3x/YTfLBacrNWQAsLBTse yNjf9cFXTyqphMXCEYNUudQsHwRNyMUvFiQKuubFF/lg1cC9vFEhNt5sqN3X 1+yDQOWgMYlFbERMXr3ClerD5zMbJRtGSLpCvvh4ofG35xo2ZohL1abP80Wz lQ3DQp8N8fpkXSMLX77esZFXqU2g6PtiYPmRFFErNlZvl9I4dMQXpHiftGAX Npxfyjh45fiiksd/Ng4uVEi3j/TFtfKB2hRfNmYFHWp6meoLzvdL5lmxbPzU 9wvLVPIDSXOCoGw0jO7ZXMLwRZG0cOXhF2yMk9o/Fgv7obTjd3R1NRvHZFh5 5Dg/fj1jw4yxx0nFxA/mw1Juyj/YePhkvmmkrR9GdrXmV/Vz9/tFFIfX+vP7 XQ5OR6W1iOX4wdPyoe3UWRx8qveuin3jB06w5Oln8hyENlOsb7T6g0e3VRy8 cbUe2r7aHwtc5d9N1uTgvOeiG37a/tCtoYZcMeRguaTigeq4APDkypIDkbch YiMZ/iA7Zsio2HMwyeWw/dlSf7zQI61WuMTBkYtpGmO3AsFzl8gBwyDLW0Q/ AKFfrDnnIzjY8+3u5w6zADyyrx199IADk+E7/tZZN8G7LukcOO2pUe5nB6Ai 2JXCKOXgeFm6CEYDoLFzSLy/mgM/28g1GWaB+Nt+cM9LLvQ4khOIUrq2WCKT A8fi/euK8gNhr+G3eWY/B80qDaqyKjdxiVdP+vl92k1s9dTNXzGvHwb3xzwK a28iw2tj+ZFF/RAK51SvWB6E66aWu4UX92NIwoR9OzmY33/1o/TjyGObW+EC 7B0o8yJZJAIZe9SyPq3sR5f9oo8jLRHIdZc3Dpjbj8tKAREirHDB+eb5bfes RyNhMXhW5Q+bAzfTVwurRO/iWszFSW4sDuwzk162Rd0V+Lfv9xWi/9QoDH6o 1577loPkAjV/u9QofFkAqzcFHKxUIC93k4wWxI+82Cww7Wg0Ai4fWZdM5sYz UzFsq+x9mIlfK9zmw8EH0+vav5bdF+SHFpN4GOvuQ7mo4E0ggcOPz31QYuJY o9c5qHj5rITMvM//Pzfeqif71c/HIO9dzYnowxzcGqL2VifFCPjRlxCj7z4p Fo7StHjVvVx8PWPh7vexMFZaE+G0mQM97+LcmORYAf90Cq4UHPN4CG0pK5aT DAdrMiw9fyY8hPubszO0pDggyWzbyzr4UMBvudUyl21vxsGzzJJswGSja19a xM2eOAyWWry1aWcjITXvfW99nOD+MOcUiMw7+AgdTWOSc9+ywZMFw8d48uh/ XltT2RjK5SwLNX+M9tGdbzK59zNF6sGuXRaPBff1BTmnROfoYzz1oTWeT2Tj 0Yi+6jX5eHz0YnZakthouhqutmJNvEAPmApOGbfq4/H0RKlVoRMb94UjZ+bK JIBu0Wz98Rgb30LTdMqRINCba1HbNxyUJONDa+zUfeDiQbNibT8yxs+IiJmp s2GQ0fSnJYUs0LO/vHiCPRZXq2dPZyPm27OT/WqJGNmUN9A2woJsks7vRO1E gV4ObNUvzvNPRMPHxDY1Dlc/L2nPstJNgqjcTHGTNhZMJZN27GtMEuixAe+c ZIzeycutK2fhx+St5Tvck5HpZeYyPY/7vPg6XWZHMnKXKrFfprNwYta+r8ZI Eei/XgJNXz45BeXjxgWB3Prwby7Njc+nZPizcOvoopfy/akQjjCeNP0qC91P DP8slH0qqDdmjMicbcVPkeMRP9vmNAt5rGgVC8M0cKLdbg5bseA5QL4m25km qGeX9pU8OpjwDOcGDsks1GLxeZKB9GeShukK3HqWskvllHSGoF6GkVbrMNdl wEjeqeO8LAvNb4QX5dZkQHO3tnG4EAsquQdUVi7JFNTjVpd5ZQa3M7H4z73o yVVMPn+e46ukbi8hkomnkTfMTO2e4/TPp7VFIUzoZb23lDz3XFD/jw7fU9+W 9BxTvUTHsjyZoCp9rBngztELX3hMd7Rggtt+eIhlvBD0FyscG602imUhKbXg 0fzFTPCOC8vC9BttD8WFmdBPpnoQ+7JQaD6oq0vtwwHH/sp7StmCfmZtrNuG 1a3ZSNCRzcjI6gOlvHvehis5CCmd7R4Yxu2HGnVUa3NzBP3S6ILFnxZV50Bz krfX6xt9fH7lQH71XNL8a33wtKiz2P7qJSRW3y5YbsrFWkzpS2a5gv7sL19e Yb+UY1TF1D6s0P5Vvy/zFcTcTEc1qL1Y4rTS1WJhnqD/+zfnO/puf94Z1Yun 7Y4ulaX5qNtckN3v34uAK8ajf6YWCPrLc7wHChHVTAhz3NAL40sKItY9hXA4 LBz3aVUvhEwHZ1RLFAn617/5L4HugbTY8Q8MpPasUtsoXgLviqUhyY0MjJC/ h99YXCLoj3nhVS7FK5d4hWdeDJR/ylNbtqkUbose3zHl9tONR6LVJAxKBf32 3/y/RlJ1QFXDGgZUdNISSSdf47RR/qwKFQYoOCRZSXot6N//+lsGqc7t8awf dEytJ4ZXxZThRs7JwXvNdH5+y7GR7PVTLYoOyqRZLUPfyqHuLymeS6KjUzXC bNGOCsE88b1vhpzvqkqcSfGwZW+h8/NViRSR3SmbpOi4NXe9+1xiFUR3kje5 sWgQSRZ6kO9TLZhfzm7eZ7u3uxqPbxsTr6fS+Pl7gw3mdFpNHA2cm8ZF66Vr EHV1XesxVxrf3xp8m0cVX+xIg/uw+2CzWQ2GxQYberjzkeQZifoZZ2tw+tTE ogneg1xvsNxjpUlD6eaFifo1b6HePth/ciUNY3vFUh4SagXz11//a+Ek4di4 QYyGX0yFS0dN6+AZPOIw0kfl578OG/dlzwz+QUVEwpScDU31qJIuz3vIned2 TclofPatHqffrzj8/iWVn/8GLNjS/Sc0lIpZ+91CZ35uEMyLI6qt5dZzGrEq ceyR9X4qP/+N6E9QDLHcTYWE9vO7ESaNMJg385aUPpXvfxNaA3rTneZSESzu yH5d1YQjXSujiCMUXH469rH2agtGKS2HHhdS+P60IK9Mb2nOKwo6nSKzCXEt mPbImDo3l4K5kUVPX/2vRTD/LpS0C3MP/YDY3uj0VUQKP58f0OosW3/9GgWF Y280/7f5I14L5X2ZeoWCZ9+OJ+x+/Aln9z+2sztG4eevFTuHOOeY3Pm6/W5j jGZWKxzM2lcf4mKTc+Uz+1raIPrb0OD7AQra+O9tPj5z/nWbi2vWLckcnvQF Z2d9+zZiTsH3Rc4qlau/gizDOJV5mAJHXvy/IjhdcsoyGwqi3fudqlW/4UoY +2ikPQVVrYVHTTK+Q+ySwttcLwrGxifWd1iqD7nq+FCw5ME50lv5H9CoW1kS GUiBR0Vzf3HzD4H/snWSdomy7Rj/Wt6WUPDPn3YM+loZixdTEH/4f/ZSG9tR f+3bXqsyCmwPnr25Y2YHNr7wuyfEjX8oL+AdqJ7a1vVElAqiZ/hu0ssOUK0e t/1ZT4XJVQ/WLWYHyM0O3xl6VL7/P2FlWrJuxUUqXim9MaO9/YkfL50ORsZS YVQXfX7crRMUsvTOeUwqlPjvcer3KM55PUwFm3pnY3psJ6z1Zmr1C9GQ8csh 3Si7U8BnmX69X7fsuyAvX61b7UTjx68L44Fe1ufv07DiheKe+cu6EW7KqJ3R Q8MX0X3Vd99348mlCKWcU3Rk89LTjXfbHvj0nKXj6mm9uq9fulFo0bv0jwMd PSEt6Q3fugV64K06RBoK7MGlLonzy4bpuAwjckB6j0B//uajB9bJ4qoNp7h6 V9HecESNgkt6yk2D4QyIGeakN3F59E8P92w7ccqghoJfJ29cVtHohT4vH1Qs 94xarRTfC/FQp4hP1lTEGLUcD+Hq+580qptjAFVQDy4XFBkt6KTiqc0WfUVy H27z8kPDKoPHkjo6TGjI3muecpwGE5EjEXQHJnq0FN/JXqQJ6uW0mYXmY29p 0NTQFhqfy0KR9pbxzE80TDr6PKlLngVhQ58KM1W6oF8IaUpzs9Knw/j27iDR IBZa+XFh9Dll/slm4bfJrsS+p3Q8eDBjUsIYC1dCUlfLVdMF/dT/ekUnL53B wAk119ttl9k4MHPVgytSDIQP2SnH+bOxbjjWgWTAEPSTB++bdybYMGC+v6Le i8OGIo8fDOhvHsyQ2MVBiQdZKTSNgSSL1BbDixxYuU3Km5XNEPTbUc2Kh26X M7h5S+xvesTBk1PnRN0GGZifb7Ajc4iDbEb7d1WJXsF88X8RFkWM "], {{}, {}, {RGBColor[1, 0, 0], Thickness[Large], TagBox[ TooltipBox[ LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 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, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198}], RowBox[{ RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"1.2`", " ", SuperscriptBox["c", "2"]}], RowBox[{ RowBox[{"0.0225`", "\[InvisibleSpace]"}], "+", SuperscriptBox["c", "2"]}]]}], "+", RowBox[{ RowBox[{"(", RowBox[{"1", "-", "c"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"0.004`", "\[InvisibleSpace]"}], "+", FractionBox[ RowBox[{"13.3984375`", " ", SuperscriptBox["c", "3"], " ", SuperscriptBox["w", "3"]}], SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"0.2`", "\[InvisibleSpace]"}], "+", "c"}], ")"}], "3"]]}], ")"}]}]}], "\[Equal]", "0"}]], Annotation[#, (-1.2) $CellContext`c^2/( 0.0225 + $CellContext`c^2) + (1 - $CellContext`c) (0.004 + 13.3984375 $CellContext`c^3 ( 0.2 + $CellContext`c)^(-3) $CellContext`w^3) == 0, "Tooltip"]& ], TagBox[ TooltipBox[ LineBox[{199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397}], RowBox[{ RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"1.2`", " ", SuperscriptBox["c", "2"]}], RowBox[{ RowBox[{"0.0225`", "\[InvisibleSpace]"}], "+", SuperscriptBox["c", "2"]}]]}], "+", RowBox[{ RowBox[{"(", RowBox[{"1", "-", "c"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"0.004`", "\[InvisibleSpace]"}], "+", FractionBox[ RowBox[{"13.3984375`", " ", SuperscriptBox["c", "3"], " ", SuperscriptBox["w", "3"]}], SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"0.2`", "\[InvisibleSpace]"}], "+", "c"}], ")"}], "3"]]}], ")"}]}]}], "\[Equal]", "0"}]], Annotation[#, (-1.2) $CellContext`c^2/( 0.0225 + $CellContext`c^2) + (1 - $CellContext`c) (0.004 + 13.3984375 $CellContext`c^3 ( 0.2 + $CellContext`c)^(-3) $CellContext`w^3) == 0, "Tooltip"]& ]}}], GraphicsComplexBox[CompressedData[" 1:eJw1lXk01GsYx5UbSjuhmxRRdjmluqFvqa5oQUrLsRwcylbcUl3cIg5ztDAS N6a0SUdRKUrCCM0UKUTWbPP7zcxvtrRoSOY209znPO95/3nP+3yfz3O+72sY cHhn0GQVFRX/n0u+/4qPiNUudh6I4cCxShaQJpHAfozedP4kBztvTnfozZFg qUuGsUsGB9ZU7m9nx8RI/DC39OpjDsoiun+mGNtn9+SYV3PAWmHmTr8rRm/N pNakVxx8bnu9I0hNjIBZA0EVwxyEyY+XiaA2b5f7hikEXjmxykPWiRC/Qi+r 2YiArYeWnYeWCGvKX1xZZEXASFFXCB12CbV6O4FVV+j+Y4uFYPtWSoNDCNT3 /PWF3yhAwMTjOsNTBDoVggSwiz4pMswmoKZlaJphIwCpYpPfeItAwybWVOe9 FBhhzHK7PgLpxvICFKjM12KtIQKu0oainaBQO7IsNIsgYHmtMmlkLgVdv+F5 fsMEwhX6+ciOOVfUPpVEbMWDEJYbH7t9VkauMSHhLJdrzMdjjQOFS2xJrLDU a6P38TAOlUOWm0hENUeGefnz8I55YrlVMIkJmTy40D2YoHMwgQS/5Vy91lEu aB1WNWdvk2g8si7CNZCLlLVHLMOLSJQqeJO4MWlrzGgriV1ebQa0FBLf98ZR LAEJNcbKC1aDBBKXeXad0Ocq9RKQaYYkD5tyUez9/f02BgHj2VOfZi3nokqa HHrDloBGtLt6tDsXS5Rz9py4djgsnouD1V5PDnhz4PZ7g9FCOhd30FjQxx6C Kllj01nJRZeC9xDUnUSaSV1cLIjrrp4xMAjtD43TmGo8nEz92JvbPIjNheRl tiYPdAXvQRxLNPu0bzUPZf6RQ+pjA2CuPcHMdechjWmUQ1s/gOkizo/xczxs UfAcAGvkOWNGNg9i3aMaCdoDOO8bPWcjg4eMP9NuL+7ux1jqPWnqPR4U12f0 w6LrkNsUNg9vMjieH236wXxXUzuHz1Py7sOYHiOtZpQHkyraRL1HH+4TtZba eny8MOiOiL/0Admkb0bKar6SXy8KRi8m5PjxcTzX7+mZth6cjZmhF5XCx31Z Q+M3rR6siXbY11/IV/LoRvFSw9RqNh/60q8OOtrd6M+8YNzVwYdxXk2c2udO CK/OpH4mWqYIcXh3J6Y/FLp+sqCU/XYCpjs899tRaDC4mZda34HL276eznem YFjguMHk0ntYprtERsdTSv+1gxXMcc/Op2BakXXzvU87OBZVgxZVFFBpbi/u awN7fmjd23YK8+0DY78EtsG12quAL6GUvN7hj2K9H/nzBRiS/eugbfYOZXs0 F2ZbC6BoP6IVOoFjxRa7BQiykRuiBb1Kn7WFza6KjG5Bi3bJV1eaAAr5Li3Q L6cvKKcL4L9XhbtI2Ax/2+Do5HwB0u+mObnVvcXrJB/V+CEBfr0/bzHATFBV nynEF0ubWLZlE4jP+89cXy/EZOPTtbRHjTg210q9JlSo1NMA9dwnwy/PCyF8 qLMkvf0VRFu3BRzNE6KD3z5+f8tLNDXKQ4gm760dx5NZoGVeu6GvIlLyegG+ ycPA9doibChMtvL3rEeU+gqzUCcRQk3DSaFDHbwfOc5/FiCCxf7Ds0IP1IK1 J65+T5xI2d9zjNNb44quiFBv5bJqUMqEW4lUYzJLBFWZnoXBxQowB+UDEOPO NJ3BtX9XYNEz308MK7FSfwVOxS04vs9aDNPSf7zneVRg0tAbc+vlYuiyR+kz p5UixtozKu+iWFmvBHT9kcUZtWL4ZDK+fdtVBNqwr0wqEyPL3COxLeIWHKUb Q8PsJcrz15F8ui/kjq8EERocouXeVXwfZzzfHC5BVppbt35ADh5I5YaR4P8f QGELmQT/AbvwJMo= "], {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], TagBox[ TooltipBox[ LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 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, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97}], RowBox[{ RowBox[{"0.2`", " ", RowBox[{"(", RowBox[{ RowBox[{"1.7777777777777777`", "\[InvisibleSpace]"}], "+", "c"}], ")"}], " ", RowBox[{"(", RowBox[{ FractionBox["1.7777777777777777`", RowBox[{ RowBox[{"1.7777777777777777`", "\[InvisibleSpace]"}], "+", "c"}]], "-", "w"}], ")"}]}], "\[Equal]", "0"}]], Annotation[#, 0.2 (1.7777777777777777` + $CellContext`c) ( 1.7777777777777777`/( 1.7777777777777777` + $CellContext`c) - $CellContext`w) == 0, "Tooltip"]& ]}}]}, {{}, {}, {RGBColor[0.6, 0.4, 0.2], Thickness[Large], Dashing[{Small, Small}], LineBox[CompressedData[" 1:eJwU2nc8V98fB3CllAYZadNQklGySa+0iBYqfVUqiiKbSEbDx95bQogoIcpq oqRhRFZI+OylrCT0O7/+6fF83Ps599wz3uf9rrvOysn04mwBAYGEuQIC///7 umShQb/3W9xJ+f+fX8jOsH04of4JszsoAdZxv7B6/dMaHYUWHF09POUX9gse +S3q84s6sNVQR9zj5i9oiJYlNQT14vjP8cDZHr9w4b/Zs98G9ePmrYgHyja/ sPxGhuNH/iDWy0s67Tj+Cxt4c66+pNOQWGk5ELb7FziNy/oL3RioejzEuqH8 CydtDVjC95k45izn5LHiF05nx6lMBrMwHH5Y5angL9y3Egy9v50N81ft17x4 PzHsqbKlvJANduvnqaH2n1ie8vaS/HwONs28MdV78xMaA+cP+BlwsHLn5XPe +T+hs8hvcpsbB2Hf/ayrYn/i1mBg0fpoDrb0pCUt9PmJ2xPBFX8yOegJs/P2 uvgTWlV9VY6POMg2+1k9/8hPjCm7/gou5MDAz3lpjdZP7Ltk1faxgIMQe724 vPU/UcZMPXj8AQcbtN9rvV70E4M6Rz0FMjioK5plvoQ/hJkMVWfHeA4WRpf0 CdcO4c7hIrUVwRyIHZKTdUgeQilFZOy0Nwcv950O0XUcguvK5cH+9hzURHO4 HnuHsFDziY68MQfhESG7tw3zwdztM39Cm4M+x9dHiz/wMSVs46izmYMmOUrZ 3Uw+1H8nvDoryEFhf/B0hSkfMqGCq07/ZMN6QXcfQ4EPxatnCgR62fBwfrXp 5lw+lBr27jj9jI2u8pojPyt5+BE0/16zFRsN7bsKHsvxEF3ZtCnqEBulfxzu rp7Dw8HZQoliWmyY1teb/PzBxR/dqyE2i9goX5G/rDaVi3PO6kMXS1jYmhrg NkuKCxMJ0VcWqSxkCNcN3xzj4MmcNy+WB7AQaPPh9Pk2DmZZCIT9Okau25Us 1UnkoPnz74k1o0xUGMdYYzUHj26FfE/czERP7+E1Atps/HXWfy64iInz6bqy vavYsDgs3ag2xIBk+6rh1f9YaN6n+I36lAENN92i6joWTm0ULaHoMdAdLloQ YsGC+y5LyzUyDOgaKffY7CL9NB3iXBdgoEK6PfXeJhYaLQuXR9XQkXNsXesm 0o8/1mHsZXvpUJO78OpyHBMOiUs+/NxAx/4wyxkpHyZ83e95xAnS8XfTwsWr LjIh83V3mWYNDWpa37pltZhozWLLCOnRIBtXaq84wMArgQp9YXkqUvYt+eO9 j4Hh6fSY/LlU6HxQLd6vysDJDffmrxgYxA+JexJn1zHQOfu6o82dQVy4vznO bYYOJ/OhWdXzB+FhK09b9YKOY4Vxd38MDiD7H9Ncr4CObfa+X5tfDWD5S8ay B3fpmB1o4LbBfQDzDrBdTPzoKO4ubY7p6Uedr1b5CHmv9sRvczTL+qHYqfjg gCYdk7fvJBZE9WNR7sO5VHk6VjycKzZ/dz98Ag7vpYrSUVjRIeJ1/wfOLbzY KdRHQ+nrMtNknx9w+7Zd3b2VBpXw/RKBx36AN6ZXuL6ehkleg8V7wR9webfn ln4JDWdEWyuTX39HzLOZNp8QGpZMeQUtdP2ONvngLyE3aHj73Pb6StnvqM4/ iQZPGj4UypTPIfGmxmxeyLgNDZ+95h3v1uxFj/3DyW5LGjrWRMrtY/ZATvO+ 4O8TNHwsGSqtN+hBlMbTxQ0GNIi6tmX2jHcjePmZ8qBdNFx8ftLFK6cbQQJd ez21aWhSsv+nM6sb/vu3OY4q0PDAXm1vYEkX+s9a+ltL0JDttVbX40wXHryP flK9mIY9W9/LNczrwg4bcabZfBp6YPo926IT0t/26UvOUPFgx5G7ywU7YXrN 9NjuP1Tc/b2Z3v+wA9I7zM3uj1LRm92TeGqiHdmxplvmcKlQvI84gfR26FpK is9mUuFbpCk6uLsd9gFui9SoVEweGp0zTW/DOY8qhTs/SHuvw+0NQ9vQ15EU qNZLhVDwe53Xim1YqOikI/iNiq5NW1xPNX7FyMDURaEOKk5LrzBa5vQV22mm yju/UrF15MoKnshXMAXdnz/8QgXX8HVqx+NWzLOa0TrYREV+hPqqFuNW2De/ 6VjfQMWptsfbO5ktEDqx9qPyJyo65OKy6QEtGHZYauD8gYqAtSItkzItOMkx C2K8p+JWkMkTiaovYLXZ1cXXUfH6XKOuitkX5Oxj7/J6R4VLxeDL45xmzCwx UYt9S65fvDcTcKsZ3Jt9vQO1VDw9bChQt7wZy1qXXrMj/m2QWrjndBNsgq0h T1w/lfjVmNKIqTNfLsgQP5u81/S2oAGu5o3LDxEHlKkJfWv5jBc/sm+UEEdG evx7+fsT1FTSKo+Q5yn853uveNUn1GrN/yJL+jNjN3VxcudH5HL736uQ/pqj f2b4/AdI7TQJvkrex/vG5l9/A+pxwryIPVxPhfbhzJqAvPfoUG94lPuRio02 50yFG+ogcqTBPuYzFeIbU4WWjLyDq2r245JGKgx7gy7Lr3oH5w2NzcJkvJ8l Stjw9r2FaYCoWGIruT/AzW/CrRaHx/0CTrRTUbu92ZqZU4O/v5+tNOqiQkpu g/DJnmoYJfPvOvVQIaK65WX3smoYBDoVvesjcWOVzqupk29w4qdgq9EgFeUL Xjra73oNG3Opy9N0KkZyNtz/F/ACN+hevEE+FarbSoeSdz9HR5L0m5lhKurW fRdbI1IFiT9umjt/U3FcZd3mEkYFGpojrt/7S0Xf2qI7J5vK8TdOoXSDAA1j i1P/8d6WgfLEZX7dHBoqjaTPbq9/ht/agwUUYRrSdTsijo6X4pb14I/jZP8E xsx337W2FE2XDSWsl9OQWb2YLnmiBO0brL8HrqHhxvHri5H0BPG7FF+/Xk9D cUSol+JgMXpTbfct2kzDyVknyw9oF0OkRmWpvRINljqPtwpvL8KSozLUb9tp OC5ycKM2vQDbOvUqmSTOLlal42vnI/DYy4ID9tDAqsnhOX97CM/fYwzFAzRc pVxYI83Ox9dFo/Qfh2n4pr7ZYEIoH9Yr07MyjtGQ+vrgsPy2PDzNLDG4ZEFD w+CWbNaFB5CHiqjOORq2SG88v42fA98z6Qrj9jS8Z9zaaK2fgxaGx9Y+FxoU vK+v80m7jwc6b0sbSfwyvb/7gbJjNrzCjgm/vk3D11vOfvX9WXg127fjFYl/ 0/POD+4/nYVV/9WsqY2iQUD028ZDFzKh5K11tiOVhiz2Zr2lv+4hLMgyhp5J w/adgnG7bt9DitK/BxMPaHisNO20yCEDqbO+bJV9SuLTFvPhtYXpCJafEdSr omFqk29Jxe80XB7Uv2n+hoZfa+/IxmfdxbdNkfbRn2kQqnkdPjX7LuJajU4X tpDx4eYNb7NLhcsV/enPnTRsXFZjGm18B6w3m64vpNGwy37+wgsmyYj3OKIa PE1D/clPCRp9SegxcbHIJeegrbFdsb9LEpYcP/a5VpiOBmGZhSlZichrDhKa WkpHrr64wBz9RLi8aY+UWk2HsCydvXwwAfLHPv/Yup4OyQu64QkqCeAb73Sz VKbjQUB+9uPeeORY9/m7qdHRbW+CxvB4hLZq8gJ16DjosPri/ZE4uI5zYvL2 03F4rs8J/R+xWHLL7PVXSzreP3dx+psaS/IzpXVnLtJB+/TkgIZFLPZ8SB4Y sKdDKr9S5GVvDHQk9DXoXnQMrDD+3poVgwuXW7Ot/el4Ej9Xc7ZdDPL5Rpu/ U+g4orCQYzgTDbdlEeofY+k4vdUnQvNTNI7d2ZOpm0LOR4FCL2ZKNDwd/Jj5 GXRwp0NdDHZEY0WwZLsPOZ81xSptT26KgsMMuJPv6Dga+na8oDMS3B3OXJPP dNTN6xoMjYjEtwVc55wWOqa/61+7PROB9oNn6Pp9dCyM0NgxOhmOQr2HRUcm 6PCoE2yWfh0OHQP9mRCSHyQYrTgrTwnHY7G05DdzGFiz2KjrjlQ4bp5TT10v xsBWusWE3qEwzPTtM62UZ+BjhdqjYukwNFo1XG3bykDCwll/w3+FQnPBjlqe OgNvj3Q5maSGYmatZp34bgZ+bMgVaJ8OwSya4EZlCwY+tc7eY9EVgt7IFnWF cwwc/O1iMvIsBI/pKv/J2jDgnLHPE64hOP+htGmBKwMZz21trcaD0VASbpYX wsDD4mnl3K5gGNmYfqZEMaDd5uP05mUwFovnHDybwEBb4KqQs8HB+Pjm6nmh TAZYjimP724KxuUFKZ9kKxgw+6UmyBENxpWdhS4DLxl4mhQ22v8nCMaOO1bf rWXg9ebTHs+aglCbEOcn2MTA+/HQ8263gvAxd9w3i8ZAicC2yhKXIBR/0PP6 wWbA1NL3mM35IEg42E6t/MlAQc/mZOndQWhjZN2nTDKwK7F/NWV+EF5QggJV RJmYVeliuuxvILKWbuk3k2TiqFrdrPn8QDi6iH1yXcFEhEf1zb9fA3FXSONo 7gYmTPg6/ezcQPRPC2tTNZlQcJrvo3I3EKZL7eQ4O5gY+8g3eBcTCMGApgK+ PhNDvd8efvYNxPXOmRscYyZ4QdpP5P4LhHLWJqcXZ5lQLrzFun80EPZ6VPW8 C0yk71oWfd4wEJoNe9KiLzORajrRGasViOdnBc3M3ZjY2hvEerSK/F7omf+L QCbEds869FcyEOnZtc4RYUyccu5Z4C8SCMkxz8Wnokk+60tPkp4diK1nUo9w U5hIpigyNacosDYc+l2UzoRqe0jmjXEKxuIrTZyzmVhodl3nLocC1Re/ZBgF 5HqM6BoHOgXPLSlJaU+YSFpbdvFyPwWLdDvqjpaRuk9OZ+uPDgqSt80ye/ya iS9pI3sf1VEwr73qEFqY0BqVP/2ihoIGs+dF3e1MPJo6G/vrFQVRFdbt7t1M eBsUKbwrp+DA4xNeaVQmnqdWjZ9/SsF5r/FxRRZp711+scwTCiruMXdV8pho 2WLKmHxIwS2zG3r140w8mP1cdFkeBZcTkkeM/jLxat2FiyY5FMgF9V7/+I+J oBBJIel7FNgVfxN+M5+F9T7seUVppP+3hSU0FrPQKpx+/1QqBbW6pmN5Yiws u5ArOzeJgoiT6w9SVrJwXs6/pT2eXL+UufWQDKlrv5XK18VSwJ1DtRWTZWFB oIXS30gKVky96otUYmGj5vlARFBwh9qzwXA7CwXGvP70MAoWu394N63Bgvea 5bMKgimoPL9a0ZLULwGib+JPBlHQniUxNn8fC/M2r3+/JpAC7wV/ZIsPsDDW JC3yN4D83nH5K7PDLOg7J/YN3SbzlfWyZsSUhV6Xy0/+3iLP81NTjzZn4bme 1581xNbt9cvkT7NQ9C9Z6cRNCrT96668Okfqp4N3a7JvUBAk5K1x9CILEV+o u4WIN91X9fx+mYW/z+ft9vWn4EXUXpXLjiy80LpjNp+YJzBj89OV1GfuKgsf +FFwbuuTle6eLGikWU2dJK4yLTo8ep2Foe81VWuI72UdmOtyg4UJG0bXqC+Z vxNfdrFJ3WhmdZHXS/wgN0nwXAgL09NfgjuJJT/yjrREsHDJqQ5UYqe/spv1 Y1koLq4vECDtXX4SFVmQyILtI7q3EvEVnRsUSVKXlop7m9sR2240FL2WwUJ5 Ss9QGfGBWdrK37JZSByx/SVO+i945j5VM48Fj1YPYT/i2++71WILWPDknqX9 Jq5q2raOVcxC9S//7TfIeCTOGXu04xm5P3FruhQZv/lj1zrCK1moiKhvqyL+ t1Ust+slC0em8wOvkPE+YrBo5YYaFvYv+G6tQOanrvqF+mVSvyroZGU2kfmL rL3qwGlkod896fZTCgUaCqsi5VpZGFHYHpdD5ntvzaOz5zpYeLlz/c5HZH3s xHvp+j4W9Ep6LF6HUHBjLm/J70EWHn4RyvseSkHbc7WX65kszHfybtcj683+ +dlDzj9JvbzthZ4vWY+S5T3qsaMsdOISuy6KgvDp/P7iCRb8RrRNvMj6pdQe CqcKsPH4mOWsw8kUPMu44LBRjI1Q5Yhd31IoELAUKVZaygb7YSqcyP44sFy7 fvsKNsq2mbwqSaeAXip3S3UdG4PChWdSyX7zeXPglKgKG2EzvNvnHpD+pFFV uGps+GwcoCrmU6AyErWoTouN5l369d8KyPqWiGx33sXGOuV7O4LIfk89aTaR dYSNhQ7uTfPfUeDVtn7/dQc2EoyFnm1/T+533/2fvAsbD9bdGDv/gdwv2RLz 1Z0NeoaucnMDBYapF66TvY0tutEbWO0UXEqXuHw3lA3f/P1WkywKZsmquS94 wIatVNKYE5eC/37v/hL2kA0lT9FMFp+CpWkjbgsK2VjV6/2POULBHvHVsf+e srGh4oiE1AwFaynPLn2oYWO/7Bh7lUQghGucNHp72fA63rDVDyR+O66rFBfn gLKpx3HL7kBE0rw5wks56OEG0jr3BoKlvGlkZhkHbZe8Tu8wCoSuol3wwBoO ak7G5aw+HgiDxQ6jUfIc2MhHX9SzD0RZzbKVlF0cqH7l0b4lB4JWm5o7cIUD 76/MHzWpgdj8oM00yYkD7a/HHQrSye+vys42cuXAa8xjS8D9QHT8DnXK9+Tg 4TzThn3FgaivWlBw9BYHje1fRUTrA2G8RqlTP4kDXevfFTkT5LrYgr0VrzkQ uq4QMUXOQ3v7mjUXazjQmq5oOfYvEOZmlS2i7zjwE1r1QFgoCLPke79afuRg Z3yifIBEEBwvHbcd/MpBxkWp3CrlIAjEG24JZnFgqjH76TqbIGyXKGIbiXHh cRLvsy4HgWr1Qr1MgouLGqkSGx2C8JRxJEJGiou1dglmSu5B+HOz2Za7kosV 0X1mB8l5bxSbN+woS9wk71ybHgQXjlb2ck0ufuf8vRLdGYTDaVfM55/iQsRZ qmmiOwhhYgOt4me4kAkaUbTqC8ICw0VvV53lwk5v4zdNehAyV/MF5a25sHnw epg/EoSBKue1KvZczB6bmQ4j+YjCn/LyCW8uxDQ83W4YBAMZ/Y+vpHBhxD4x Ns84GK68IwUG///3ssMGTtGHgzFw5CHWpXGxaG668f3jwWDul5RvvscFa+/M gw7rYHiWmq1fk8eFgPmtmSs3giF2Xi/MvYwL8T3ZR82qgtHt8R9fpoWL0U2R xQySP51VWvuzrpWLr/kBc3yrg0HVVyy50sbF9FBiyMP6YCxcHe79tJOLAfXz omIdwYj/VKSm3sdF7Y5fRotGSX62jy4yxeGCp0GLe6UcArVfJYty5vCg2zpv i+v2EISf3fVsoxAPX8t2V2/SCEGEiLlWzjwe/D73jsbqhQDPj325t4CHfSal vp4HQ+Cyf/pC6BIeqOmfElzsQmBXYv5KbjUPlQzJc8oPQvA6w9suejsPtb6x +ScehaB8TwBloRoP5ZlUrRtFIZCN97SmqPNgdfiDYkd5CMyzOuw9tHg4//tY UHx9CESZa97v38lDEP/W+CF2CLYzK+yLDvCw6XOMbq1yKM6brApPP8tDgf7T I1KqoXglfLxi5BwPboLHGuw0QyEfqlFrYMXD8Ef7Bct3heKgoKIX9wIPM4IZ T26bhKKt3M9jsx0P4T83999zD4XP9hJXe3cerjz/6Dr1PBTi8qqSG4J5aP7z Umz7m1DM1zaQ0w/hoTHXXvLy21Csvbr7mGUoDwe6Aoy6P4eCsffETEI4D5LX 4u8194ZC6cuH7MloHn7amSsICIQhMCihKiWFh7La9R999oVhq8ggVB/yIJNp 96j/QBj8qbpl6o94qNhctM7wcBgq9Bb8p1nAQ6qI5dcV5mFQ36mxSauQh1XS WQHNl8KQ3iPO31rCw704nezw8DCsqlxROFHJw4fIujcH28Kwb/nFsuF6Hpqs 3/KNvoVB1Cj4yNAHHgzXLNlj3BeGOV4/BTkfyfimWdqZssJw7u+S6r7PPCxx 8xC6Ph0Gvzmr0l818/DL2VNYa1M4Nu1LdDLt5EEoa0f+1WvhuHbtSU07nYd/ 4RVxr/3CUb03dLycwcPu6/mLFwaEw1+ecTKZycNNb6PX+ZHhuN9y5dEJNg+9 T+QpQvfDkfzwQtIHHg88N6uJXU3h2J3Pnx8yysPam7fE2+UicJJXscV1Fh9L h7StLJUioBhinKIxm499fK9i1vYIZB3yPDxJPPao5pTwzghwjfwj/efwMeAx 4eZwLAInfsa53pzHR2Jj0PfPNyNg9ISuZr2Yj5cH6McW90Vg/HRjW+ZyPuRu 067+o0Zg2GTm75EVfHT07jYaY0cg6cgiz2niIVmmNHc8AtSuKw4nVvFhqBup Nk80Es/PsGwEpMnzY1vKJhCJ1ucr2Gob+GjSGhGfuh+JHymW4+uV+Li15IbX 7EeR+OXlqVBC7GnKYy16Eokvf1zbdynzsSBScbHyy0gIlOpGnd7Kx5LtidJZ bZH4r1orPkKFD7OMznLzeVFIxTyldnU+/K9yLm13jIJjUMQtwZ187HpbUvHB PQrKpVnTN4nTJxMUbK5HwWWVxO9/xLMkjbMLg6PAdZy6OAk+BNIKxv2yo1D0 uliHpc9Hv+x20U3foiA1cXescB8fjfdSKUMbozGv2Ve/5yAfLdIGDxjy0XCQ 22ty7BAf1cM7ygeVojF7Q0bzJ2KtieY6hjqpl9MXyFQe5iNjalXu2v3RmPro MyviKJ/k66MpZ2yjoeG6SXzlMT42nzKRSrGPBm/aWzOEuOkKdVOXUzQKBuhN v4mLSi9o2XpFo6P0qUXrcTL/iZ8DX4REY/r0RM9tcz5u/ti6zvxxNHQXZlR9 tOAj68npn/1PovH3zfxNKqf4SKi8s961jNTnNQfmJRFHrZ5FzXodDaHsWYrn T/PR6x97waAlGqnlybOHzvAR0HBy6NFENOT/S5j8eY6Pt2lp3vHT0SgpuNhy +Dwf0j5XvG/PjsGLrqZ1BcRvWN1rPRbF4Ehss9xFKz6gaSecv5ZYd1VrszWf nNO08xeMYjB3v1BFpA0Zjxj/0fNHYvApbdrmO/HgdNdRm2MxaNrZnaFkS9bj i8DK25YxOE4zLvpI7KNZFSHhFoPYm5L7/l0i7xO+5lRKWgz0Bj8dNLXnY+Vn NYPF2TFY2Gty5w5xhn+uRUheDP6cincZINZ5dNH+TmkMRrf9fuF8hayHnyzL DR9j4KbU+DbIgQ9XieoB1kQM1q6LoWQ48VHf6tbOm4nBq69JF34Qx2R7Vv+d E4tS+clPa535eNbQJq4hFotwBTnVe8TrKmRmNm+JhYx865kUF7L+Dtn/vLEt FnL3073biQ/ctFxK1YiF2fYD0hKufBwMjk78vCcWV42v/Qklzjrv/mWLZSyu 1Y/9cXfjI1zv8NMfF2KhoWZnWEjcvOPa/Gz7WLRqa69mEI8uTM0/dC0WDVXL zczd+RgvlYralRCLCKvAMRUPMh4C3qoNTbGoXXzjXdNVcv3CrKS5nbH4a5Rj PdeTD7eIxrCjP2IxvvafvQ7x7KkL12R+xcK+Xb8yi7hy39z2RxJx0L4so37F i49Pqcqfb62Og9fedsk04mzlG/pOG+PQsXSBRQOx1OGKzaGacaiP9BFXvMZH fvqQfcvpOCR9Cd4yQFzyPnz+OZs4VMm3y4p48+FQMuks5ByHrkEdf21ieaXJ kozbcXgf2ns0kvjVyfOnxAviEDQVfmTbdT6ubrMscy+LQ9HLO9vNiVVCIydG 3sTh4CTN0Zd4jVO7lXF7HHxEI4feExeq7C12nh2PlPHUX8d8+DA/My75eXE8 vJd23LhKvFB605MDK+Kx4ZXTuSRiyZEb5oXb4rFSeOmiDuI8E4d3iTviEf5f U9sYsfX8MfX7hvEQnKfHkfDlQ7O0okDlfDxM3M6MHCLukb6YVOoQj0r3iYHL xD+X+mtbesfj1wqN5RRi3dVF9irx8Xhz3/5QJbEVPb3vVGY8mp4eNGohbnxS 1FJSGI+0l1mBbGKxeVKS7A/xuGF9rny5H1l/M+EPPnfEg124MU+Z+M9vOY0f tHj0B2/9soe4Qcv+ZMbsBLBchN7aE9vKUj0OiSWgbF9jiB+xpsX6LJW1CQhQ afaPJh7kRulk7kzAnW+eo0+Ii2ZGsfVwAjxnzXWqJr7nvKxz4kwCPrtsFWsm 3taYWfvPIQE1lUc7e4mFj+yu3eeXgPnna6rZxG1bHiR9jkzA0aHej+PESPGb lZiRACPu1M9Z/nxwv1ytzi5OQH6fl8oi4shFO5N/VydgtcmjkKXE0Vnfwne1 JoCj9vbLGmJXCtWzmZqAvTOtahuJC6xnfPPHE3Db8U2RAnEe+yyjYX4iTuXt hQqxTajdJFYl4ssG6R/qxAMl/tOzlBPBOrkgSpt45VcBTSn9ROS/rjPcQbzY 8gjP71giljUvWbDz/8/f4GK781IiRA/nNP3f34yslMx9EmEk8Tvh//7yp0vn c3Qi6s6NntQj7r++O+leTiJkJ3wldYn9VwsZdVQlYn6q+1tNYhm5KAu35kRI LKy8oEqsxDBo9qQngims+EuJePvHpyWMqUSSZxdelCOO6pg8XieRhFzlppcy xEVTXc+WKSSh5IjDqBTxhqiy7327kxCddHzOYuKb1NGe9aeSgOljzP+P7xnT Py+obkmo8dRKHSPjf8dyY5h8RBJkZzUsYxJT1nz+c6g6CY7MS+YfiHe1Jolr 9SSh8GPB4griU0VPt1X+TkJRxIh7DnF60PiHhG3JeOicu8OH2FLpygerh8mY PNjP+P96LJ5d2PD4YzJ2FDIsp8h69R1cMVDLSca7Yhej78SvZa98dN2WAubE eos0YlSpL2K9TcFqmyHdecR2tp3HvWVT0c+NifIn+zWt+9bFTsMMlB/U7qKQ eHWH0Tg1mJaBL1YaaWuJ25wMm+PGM+BYcyWznMS34NspXuP/3UPCRvXnXST+ xa7br0ZRzQTVkdvBJPE037fats85E490R/XPEdtpn93m8SQTJpJrNVpIPC7L japx1ctCVviC2/dJ/LYZqwu4FJqNlj3b0iYc/v+9wImZnZxsbIGShQ7x9TK5 zZmm9+HRSTN3I+fHPpfISLZmDh6PakXU25H4/lhM7XZ5DlLuVh8fvMxHqJXn t+X6ufDSzvUaJudVz4jh0E7PB7hbLctmkfMu3Dg7/fumPGw2/DLSdJGPnMW2 IwX0PFSdP/4u5wIfEqouTjb3HsJE0PHoSnKeZj5Vh9G9R/jzNED9GTmPG788 vR30ogB/cGKd1lkSn2RXLpC0LIJg4PcANjnf3XW7jDZ6FaMu7A1XnOQDPo/c YvJOP4F77d0pyZN85L6OKBe3KsHcsaC9HJJPFDu9EDOOKsWBef3qUWZ8/N0e JraY9xR7I/Q7J0i+MnQpb5VHYBlCPn+zlSb5jI//jvbevCoYHF2mY2fAxxWr qbEFp17C8aRIj+MePsIushcmHX4DmrCqFZvkW3M+V5TsKXmL05Gudz6qkvh9 OfXvsoz3wF9+cp8iH3FGp5qo6z+h/dntx59kSTzu+JO0cG4Lbm0fmzZYQuJ1 gNU79byveHRz5t0VQbJ/IxPV3Lw6EHcn4UYGyY8vD22ROnzqG1bY6yxrGOSh 5mOeMV29F0vlbL+Pk3w97+473dW/+lD3dlhA5QUPZ+etn83X68cVr2b/9Bwe ritdLHh3cQBTe4p3XIngQfC6YWmWwyBOUj7s/+xG3MP12nuciiU9srOGT/Ig YaGnyF9Dg0W4xFlRPVIfmC1c++UDDWpLfVaZreVhmcKRopRTdCxfOlnBmM2D iO5fRel2OmybRmVGqFxU7Ph4bMsOBmS2HU1OrONisezMnbPRDHy/cEVw6AEX Z8cyD8m2MWBq56GxNIQLZ+sH814uYSLuzzeFW7ZcnJdp05cCE4dSln8a3MfF 0z10AT0rJr7OnSt9iNT/3B8jVUPXmTj7MH+kYTap319alT6IYOJe6Vxrt34O HqbGB2clM5FrPn+n4RsOpk/16LLTmEhMpdgdz+DgmEBXwZl0Jlb07dLJ8uPg putapfI7TLx1GXykZsnBWat6z9g4Jl75HL0vtpODI6qqL1xCmGAsEpbWk+bA bl5QX7UPE6zonKNVM2ykHAxd/N2BiRmD4C9hfWy8jHxeJH6Gieb0vsLSN2yc 7lYZyjBiYvV9u0DVLDZi/kupfa7BxH4r2eRFAWzM9bfNjVvHRP3HJ22wIb8/ Ovj30EImXqzRGGowZEN7994/9G4GKpbfdJgSYUMq/kL8RA0Dt1oe704bZsEy 1WXELJ+Br/oV/SntLDx74Jou785A7r5Hi3IzWAhQShB4fZIBwXtSCs8CWDgW lzqrjcyPCq9/p4wdC9MU5xe5ggwID5XVztZgYam4isC9cDp8TyFl8gsTC9vs vgk60jHDqF7ZVsnE9ohhw+VH6HDf+/alUBYTyV0Ru84uoWP776p1Dm5M5GX8 LnwYRcM18WeiGiuZ+K9+ya5uRxp+s4fOVc4h4xQ3tbbxEA3OWkayUUMMvA4R FxJYSIPN53+ZW+sY6FVIOF16i4ou7dRJVU8GGL7LlaTOUUnd9v2MzgUGZk10 W+zRo+Ki0J7ASBMGpFy0rvwbH0SSTvbgGiUG9meYS4tcGoTY4N19Hxh0eOWd pbXuGUSiYDmUO+gQd1WSuCQzCNvf7LSeOjo8TKX7p9oG0KF0y1XiAR2eM1dd vu8awDm8PNttR0dKV3vCvTUDkFn0Zb3TGTr6Qqafak32g2Ir5YqjdNgHTXWw S/qhdLFSLV6DjrjQRrVj6/vBkHPZPEeIjq0UuTlvp3/ApKhwteskDQ5ssbr5 XT8g8nZ93YohGjhIey8a9QO39wr9kuyi4U5kyZ0lw31YtV9AoKSIhtZYv6zN uX1YL/ZghJpDw772J/8G/uvDicX7NI/cpUGlsD1O68133M1rfFAfQoPmRouH za7f0XPc3LTjBg07b3t+mrPxOxQKeIarvWjQz3/lqBXci9EQDgxtabieIueu qt2Lqog5bcpnaZittTO9mtWDA8NHvhuZ0zD6ky4WeaAHQY8rfNYb0iBx3S03 VrAbswyeuxor0sA7sdiko/gbVPlqPZ0baQge2nYp8cw3+LfxvO/I0HBl1+4m 12ddmEXD3CoJ0p9Rw9igc13Y0PP1/TIRGpDjnDt3YRdepFc65M+nwXxzyZ4t lp0wNlXacWmGitJ1DdZ1Qp1Y0uRxJuEPFToFvi7lhR0Qd/I2Hh+lYsGvjOUT xzuQdHLb3LCfVMze+Cf61lQ73mS1x5txqcjcbzPXJKsdhu8U5x1lUrH774OM MwbtuLt27uUbVCoU5m49vCKqDSOzXx707aXiqA3nwAuVNpTF0wWNvlGxbI20 OaX1KzQWlosad1AhMzHz3NH9KzbQNybe+EpFippmr6vkV/zOqH7F/kJFwugx q/DSVix28H4a0kSFtqZVfplJK1a/3p13poH0T/G1Jo/fAsfYmU82//8eh3us SDGsBe3Wk8dzPlDhVrO43nVTC3I7s/1X1FOxPW9J9ss3X1D0Xf12bR0Vjbo1 vxZbfMHfstC07HdULFIac7o43IxF6r8XVr2lQhoM7/chzciYU7hwHrFWb26s 7tpmoOteR2gtFQ0j7nPi7Zsg47js4T5iONtK/otvRKNGerkmsf+dcxfWVDfA zlrv61niNT773fo4n9H4faPFS+II7aBOz6WfofPV5PxR0v6BnuhLa3d+grfz +j/LSX/so5/orLT5iKmbo5uWkf6Wdwdal0V8QIbT7E6j91QYL5p4fehZPX5N jXNKyfuNV3sPGvS+xxTnzSbTj1R8WLZFeanQe6glD2lu/ExF2kOLBpVtdQjy WFSs2EiFoP9s0w2n32Gh3BeBS81k/MojLa+GvkV5zm3f9hYq2qprFr18XotY 1p9jnm1UxP48ahb2swZ9yqOxBzqp2GlRVTHXthoS24rrfL9T8YlhK/Au/w06 H1Zt6u2nQry4ZP1J6mt87cr9cIlGRZ1K4YIDN19hq/GfFTIsKu5U/JslovAS DuYxV2bI+voRmhy5feA5DvNaBef+oiLAs/2n1IMq3FrSLKEyRsXtFf+O9VtU YM/u08bD0+Q6029h/YFysr8XvLs9m4apmOnT1/aXIWGy+ILqPBIHA22y844+ g/lPMat/JC6a83SXDds+xbrB3Fn0JTRULf5xoT+sFLo+ngm0pTT8e8ZQHn1e AhgV35haSeLuSIm66c4nWC+ruNeO7MfiN9Ia3lHFyDp1bOerLTQs/N5TKNxW hL5L+m0bttFw0qDCpzatEJdkF35IUafB8Naf48Jej5ET8IYnrUvDSj/N+M9W BTj9/O3mkl00WN5c9Z/wmUdgzBlwMt1Pww+FshOyPvnQeuZrUmZCQ/3epGc7 MvIQfX5CzovEDxP2xd17Gh/g3Q7Lm3vO0PDXZ4XnukO5qOpf0TByiQYlwbCG lNQcxCu1WXeQcyIu+U2j/sh9yO6YflftTkOOTqZK7/NsmK00yssj8YzdP+Ly XiEbUm8+r74fSMPxJWkhjVlZYAzR9t4Pp+HrdUdhv/uZCM8f5xYnk/4cxbHz yplYtUAl40U6DVlHtJjNL+/BTzHD+tN9GlYz5QS3dGZg7x7/Tz+LSd4zqDWY LZmB0L+TH4XKabjrtTZ58L90RDtuuiP9kni6YPXLqbuQlvkdZUryInP9j+NX /7uLFa0rtBybaHAVWLNW8WUqwmK/Pw5tI/Hb12OWVPIdjNQpKLzrJ/N90f20 muAdWF+Iy7Fl0lC3+MFqrnsKZDYJyywg54Ge6JDmU7tkVK5/t/XwFA17IpPk 1vCTsHiQfm5oNh2HO6iHPl1NwsiZFTVRwnSkOqfNG0wk9ZlInm2DFB3OAxpO H5USkfiv+z+7NXRMMBf0j9Un4I99UtdcWTqGj5qF6C1MgKWw8qimCjn/VgRq /1cVh0Llri0UYzoMQmz3CTnGoUJRYoGEKR2Wu51ux8jG4dVmbmj6STpkA83f PU+JhXbf6NLCi3TYrLyTveZkLP6IHRlXuULHk62DST+Wx0L55Pf1pa50dD6v lVqfGQPJf9Tlj/3psNBZEuZ4KQYH+3Nebwykw/qydEilSgze+x9yTCV5x9jm 7NKxD9EoMap54JtCR0BEZRdbJBrF5YXiq0vpUJ10jRKtj8L3kjzv65V03Lj8 OXyDRxQ23pCndLymY7XE8fl2HZGoHFp+ivKZXD8mNGwTHgktQ0nJjhY6Dq5d 7Nu6JxJnmoaNNnbR0XCFHZ1eGQG78G/i5TQ6rpdcl2r2jMCn5NL4SQ4dT+V/ hKzQikC//cRVnWE6dilOsHJfhSM87Myeohk6YtSNLZ70h8F4gcDJK8sYKLUv 2ZZXGAat33nasWsYMJK/9E3ZNwy71l4/+nQDA21dfUHl0mFg38gS4W1loFhb V/WEayiKDXIvbzNkYLI7VdnBKBTbi4RjNQ8z4LNm/pZnG0Kh8Le6TecYA5G9 rsZFXSFo3b0tR/0cAw/ntqiYmoaALmSiPEXypSR9X4N/aiF4vatkub8vA5/d Sr5dWx6ClBfpsTO3SL50jTP5uj8YRWx3lZEIBgzt/viN+AQjcvzc3NJsBgR2 lZo6XwwGvmScWEnyyqetuUv+//9b/Uf3bvcrZCAtMPtw7vpg7J7zOUi3koEj wg0XXnwJwjVh80fhjQxcfPVdvPtVEJbMGB7qbGUgeiLooE9BEESSKdfWdjEQ 0k231A4JwoS9g2vuIAPH3mLuHsMgCB/j/QyeYEDaMCRzlXYQ1oy7/6yYZmCd XMuvM1uCwIkT9KPNJvnnTvrapSJBmHds0X61xUyYHhRJnPMtEPUZIul5JI+u 6qxPHGgIxL5LYetfbmKiNLTvsVRNICJtA3UbFZhg7j7g7/UoEHOEWpTp6kxS t+gHM28GoiuQq8E7wIRgECtRzysQIqafrtMPM/G8NmRNl2Mgfl19fqbHjIks NZHrPacD8Xi29/RLkudTuDd2MnQDoXvZpemkCxMfSk+t360WiG0l12U0rzKh VDP6u10xEP86PkmJk7rFZGz4XZ50ILb8yRZ4FcCEhMgz1oc5gYjj32DxkphY PiFNa5qhQDvWIPXJXSZEmhWezv1DQXB+/T+XTCYe3DF1mOJRUJAlwmA+ZKK3 K+TDZBcFDOoTi6KXZHxMJlfObqPg641dRS9qmDjReXCVVjMFQZU1KnXvmbht c3ufwnvS3vPS+gaS329VkjtEr6HA45pJ/6d28nyOcN6nV6T9n6rb6rqZsPG8 7CRWTkHiA+NrRTTyPt1fGU6lFKSq13qms5n4fe70p9EiCkJXzHkWMsTEmw97 uA75FChQbUaP/SHPl5s+dC6XAtMn7ZNqM0xk8z77eWRTsPz9M0MxQRb+Befo zE2n4Jpjeu2rRSycNpTf4ZdKgZiJ1FiUGAuL91X+kUqhYK/0t6tnpFgQ+jSS cD+eAqeV6915Mix8bBjmJMVSsG7R0tEiWRb8ohIE8qIpWHJYu8FRnoV7WaWj qyIoqLu3Jb5/OwtfV72/6xdGwcZ1twITNFm4f58X9zeEvF+zTPe+HSz8Ouq2 MzaYAhrdMH54F/m92n2B3UEU9Kbufpq6j4VY6887FwRScFDOVE/fiAXd7/qW 7AAK3m1/qTJ4mIUyQYu2/tsUCLs0xt00Y2E4+pPcz1sUbGe0XFx9koWO9rQu SWLhm8selp5mwXhTp+ORmxSc2MKyMjjPgkbzTfuMGxRQG+NjOy6S99mYZTaH +LqFre4FUq8t8Nz16P/f59AqHp/lObJQvfTC+IL/f5/T9nSWmxsL3r5Hqh75 kfUg/HHDmCcL4Z4NoWeJfc/p1bv5sCBuWD5nE/HAlOUvsuRQ/Pjf2xlfCpQG /TJtKKR925RLLGLPZbxv30JYeLvdM5xG3JH2J8M4koWbTWENw8SXvEeHK2JZ oP/9UL+EtLfniVL7+iQWEq/KrgKx//4x45BUFhyEBqx8iYtupJ7gknq0RfGk 0SfisWHnCeP7LKjozrq1mfT/utg71bw8Fja4WlbFE8vvYCyY9ZiF/eK/skXJ +9NaNt048YQF9dM6Q8nESeqtCXnPyPtFPz+4jYyf3Fvdw78rWSQPGLvSRnz9 e9Gj3a9YGKiyEwgm4+1N9SsOrSHz761RbkDmp7tqwrKpjoVb2nkHJMn8rZhz pXLJJxZC9LPnt1LIenS+cj2klaw3B+nKt2S+I+SjGW86WNAfHTxYQ9ZDd9q3 +WPdLKh+U9n0g6yf+dQl7mZUFmbZeCZMhlIQ11Roasdk4aHXQJhMOAU7fF4v 9uOyoCV8fUNwJAVHxxjr7o6yUG4qYtIYR8GVuHczJXPY8Fkbu10zgQKJb87T xfPZ0PgiuyQ/kYKZpXWsR4vY2JhjuOgB2Q86+BeXLMkGS/3f+nn3yP76nGl3 SJaNDZcuzSvNpEAxNFxcdTMbrQv+xtmQ/fYkUrVyqSIbW3wur6aS/Vi2Yu3C FlU2aubP3aJeSIHanxNTm/awUVmmxBQj+3/fUkf2nvNsWDOjKje/oUDEqfXa 5AU2RgZndu4j8cLf31y+8BIbcxAyFVlH3qf9989FzmxMZ/tYWzVRMKitdTrP jw1bOaGlY/0U7JbZcflkKht/8mXn7llA4l0X5+SjFjb27qffrlwUCBbrVX9T Gxt/TeM520UD8TI3a91wJxupmaxDypLkfsuPn7f2sbH6CNVgP4mfr82+/43i sFFgGZE4vD0Qd3uWSdEEObgqTgmeaxmIgnPX33C3c6Dyrv5M/blAXDpTtPqT Ogdxqs4bIqwDQVEcOPtAi4PzlBC71ZcD4XHy373/dnLw7NMuUxP3QKymqGvk HODANydrTDQsECP3WrldZzlYUy6jW1tJ+lt6cH9tKAffkmad/fsiEHu+dFSm RHBgesdUWf1NIG7OWc92iOZgZL5e9eO6QBzLzQsSTeQgomDJiZLWQEw9dKFp ZnLw4YK4hhA/EPrCktnS5Rz8HlRweLchCLqxopFH+jnY9feHlJJcEKa0lT7+ GOQg8WXI0kRyHi5c0T/uROegk1K54IpKEI6KKG8O5nAwMJaXLYcg2DQeXnpv jIOqMnGJHosgrHNpd3YS5mLVPDnWtjhyfbNpROJWLkYlaYW3E4Nw7rXW4WoV Ll5yPK91pARh5Ev9FbYqF51/Katu3SPnebvFe00tLgwfhlAGHweh7Yi72Otd XIScO3u7vT4Iw2Xc4RsmXGywujZ27V8QpCVuPO5y4eJV7Fxv7uxg9OVWG7a4 cZFV6//7rFAwMmXuXfjgwcWvmYCeA4uDcWfFhfWl10j79TUH5FcF40KmRav7 TS40PiuFSWkGI3v5nrEn0VzwEnzSHjoFo4rhuX9lIRc/8qJWbHELRov3HU53 ERcTehsCHl4NRtnzfbj7hAuu/9KNhb7BcN7JHlv+jItBj8G7b8JIPqNsXjn7 BRd/p/beEc8Lhkua8OnkD1zYNq/2v0Lyo8fdMptbBrkIVb2IBbRgUMLYR+1p XAyPd4/nMYOhQ+veI8jggqrGPcgaCsZ/aV5hW9mk/fwX9zxmgqFtGlBx7ScX t0/v3/VyVQi4pzX026a4UHNZHrXQPASUxZ4PCyV5UCvrT1p5KgS3pf1275bi YVHxZNuWsyFQOR0d9nUZDyZ/pkYP24Zguf5ztbGVPDyxtm/J8QzBKdaVmU3r eOjN+FUcmRwC6yZfw0NKPMRW/Gdj1h2C7qOrNz/ay8PkiFpFaF8I/CavPJXa z4Ph9Pip2sEQnFxyUvSmAQ/ReyXTtLgh+NQTr2ZqxIOPU+E61ekQPPN6c5x+ hIf+qrt6l2VCYSZ2/0m7BQ/xG47bDVwIRZbZk7u9TjwEz9rEnrwUSvLAnBoR Fx48Uv89kXQIhWL4ovGdrjwsvNYifdAjFIalT4LuuvOQKbEm+iMlFMGpRbYH r/GgEOrJFnoQinNepjn+t3jIemx/OJAdCg+LKAeteB7qa9p3f+SHgpc15X4w gQcrRYt80ZFQ1Gz2TDubyEPZA2pL+t9QRDC6zW4n87CWnVXbuCgMTJHTNm/u 8uA0keJ1dWsYBvljmWI5PNzf76bx0yMMPYucnCSf8fC8Ruz2O+8wRL/2vLu+ jIfunYPVd/3DoH8woHNrOQ+5AuZrTULCYM0zvmFQyYOi4vy8L3fDsGrDgkz7 lzycU3knrfY2DH3/mFVB73j4O/AzL1oyHB1MZbZEGw+lzn278lcQGzN2zG3n 4VJkw/q30uFwXaJaOkYspm7TIiAfDvclfYu+dvIgcbhyV6JeOAzlZ1ECe3iY lWN7Ss02HB6Pti6qHeThqdim7OMvwrFZoiU2/RcPVYF5l6yqw1F0wnqf7TAP P5KkYl3qwnG+7Z3B1hEyv9vqZZKaw5HsWKj3cpSsj3zB6H/UcCR49f5p/s1D wJYh0QMiEfijqCzeOU36n3eQ32kVgS/XXMpshfkYGrjqr30pAtycQ2qrFvBx dGPO0F2HCAxKnBFtJP4k0XPzilcE3r2P+K6yiI+Gj+b/lCMjILjEn/NLhI+5 OnmcfVURyJWjiR2T5INNqxzuk4wEJa1vfbY0H3b7/7mFrIyEr15UD2T4EJHN NtdYGwm+uMjcHuIChXf/3VGIhF1qV7b4Oj62RWwYD9sdiWSvo+uubeDDZrVe 2iqXSGy5XXVGYTMfa38937nmSySur5jmbFLhwy3gyChIPXi/47FkCbHr0Xaa TW8kpvRLn+3Yzkfj9tvJ1axInA9inT+qyod3evXMw9lRCK3Vt3dR54NSE/fv mHoU3H2P+d3R5kP5ctFf43RSb6YUnAjV52POvKFHKTlRWP7j3WXR3XxU31r5 klcQBau4cnoc8eIdKzTyn0dh1bIzMql7+BhuHOY5dkVBzGdnfNY+PgYitJ6s XRiNH7q9jQkH+Hj2uqNxmtS7Rgvas8SM+PiQtjD5u3g0Do8voYUTc55ImT1a GQ180nt205gP0xv/3F23RMOKNi/swiE+Zhj7Sl4bRYP1epa+qAkfvmmik92H o1GbdWTpLeJJY0HKlGk0klSzTo0Sr2EcCjU6FY09gvvRYcrHVquwS6uuRGOp X8elxGN8bMxq8EmNjEZeZfSVSXM+FPe4W7h2RJP6evSUhSUfmW3cyd7uaJxy PnzkGXF26tjbwz+i8elO/CfRs3zckjwlsYsVDbkphbO1xKZ/uIbWf6OhY2E3 KnueD34YPbZybQykmnbRv1jzMf6HMtd/Ywwcin2cN17gw5m6O9loSwyaPCsD vIgFblacGlWNQd17b+M1F/nod43QjjeIwXZ3K7PzNnxIUa2TlznHQPjt3YOt l/hgCXX/NfCIwdkPQddkLpP1tUys2t87BvtlUrbZE2dIra2bS4mBOGWz3iw7 sh7U45c43olBS0ljk5w9H7rm61m1dTGwcolts3TgQ1x2i77H5xhEPh7IzCbu bTSK2doSg9l5Mb8ZxG/stWNe98bgnMHDnU6OZL3d9DM7OhaDk3qrtL2c+LhW tz3pyKZYBEuq1Lu58PE2JShpk1IsKmVGtMuIJbQlUheoxeKAO3fNBPFnzyif Sf1YdJ/w1/V25SNC55ylv2UsVkXNvPN046OwpEjp7cVYpLia1TwjFtlanrnM IRbrLL4qjxCnNxcacq7HIif2mPkVdz521K9UPXgnFkp3FHrNPfhY/SG/bFFW LO4M0UxiiMuC2hi9+bFImj2o+pH4mmeXW2klaU9kVE/nKh8XSx2Xq36LxUOP ZEsJTz6CdCKE66Xj0DRdYJfvxUfa/Bv3yuXicCJghU8XcbDX5s0vt8Vhdlvw 8PxrfODa9biFe+JQIDO00IY4KCk4/82lOORL7elb7s2HQY5GrZ1rHDQGeoT2 EvPuZaoq+8QhnkaNcCQ2vNWlJhgdh63ulWXVxMbNM76jFXEYaf1gce46Hyu3 1Yh71cZB9OaWi4HEj14la6xojMO3Tbz3j4idKSc9ygbj0OhYFztKLBE+PFTK j8MSg9iJZT58aL/6fefLnzhYeZ0u0SG2mC1zxnlJPH46b17jRzy/trB/eFU8 wn3rP6UTpy2iuCTLxWPcIfvDK+JPST8ijiAeYwH7C6f+7/982245x4N6ffuE ky+JL0dOFP72iYfWQOiNUOJ627r38SHx+DKv0+w+8Z3LTy4ZZ8dj5bhZWxtx zbwjdTbF8bjiEnCDR9yu8mFJ4ct4GIo9dp7jx0fgJ0mdt53x6MqpWrGN+L5a +6kEejwULwg17SXecDD9a+JoPKY2oeYk8Tq3lMqtYgmo+15k8f/vZ0T+/L77 QSYBq+mCU1HE2iufvktWTkCOlG/rPWLWortt3QcTsHn5sjVviNuv3jMwPZ2A 3sO6YY3Eou5vLwheSUCV/Hq5HmLDmfs/fl5PQCNHl///7zM0RfscV4cnYFPn RO8ocfQ90dqguwloUvkw8o94fkFrtNrjBHTorlFa4M/HcYX6MNlXCTDWvhgk QaywPNT2v6YEaDmICawm3nWlrOPrjwQUrIyN30AsUT2ZnjycgD7hfbu3EI8b Gv3KnZOI+g0zc7f9//ua/1Vw59FUbXEcwBXyREmDNCAkFSI0iPqWioREaVIp pahMhSLJ0DVPmYVMlXkuGtSTWYpkKlLinnvPNZeeKfG2Pz/rnrPPPnvv89u/ 31p73d+xMnOXR4KTd/mrKvGKbZL3szZEQmXLprLtxJKeAr5pGpGIU50unD3v kqobYDZuEIllKvdyZs/D3Oduuf7wQiTCnl7LmT0vo5dutSj+ZiTsys3yZl2w M6Fz1D8S9JtXebPX6w859eckRuJYtX7mbHszYm3Ha55FYnEvM3b2eWkbQnZo 1ZH7VfVdZ/sjf901V+5HJOoKjQ4pEl85frvx9lgkHBze8m2YvT7YvkRtYRRC L1x8IknsPFP/00ImCpMlsTIriIf/ygUt2BmFiW9r3YSIK7LuFMsZR2HqRmEe D3GeQlFYtVUUbqz7kz9Oxts6ufoA5RWFusRc1z7ikzlyf30So6DFf0949vzT i39PnXRoiYKZEs/1klnHPmioGY5C6+pY5YzZ9aC7TrhYMBqL9MYSIolZ9JJ3 TlrRsPVPuDR7PkvrTO0fnbJoHHMVbeYmXm/KcJXqiUZzrOwmFlm//ziY+dXx xODNucnRKuKkXYfXFB6MgeUT3hxP4s6prNaBHzGQqpX0p8n3860p5Ecc3wMs /P1MsZQ4UMFyre6mB7A8obMxkjjRofZcg+sDiGmajGkQl+4QaWtXiMXn3a5x 9uT7ltRuucxqjIOleLHNXRJvmKVP/dwXxqMt+bnAVuJrb/cdg348jia+mOaQ eOVpQYcnNcZjpP6Atw7x6oycjeMTD7FU+oosk8S/11edguInE+E/zOq1IPG1 MWOmdVI1Ce+Ua/0oEp+d+Rc0HbueBPGg4cnTxJpl/B3zxpJgnVOupE7iuYRv n8qUUgqU9XlzMsn+0KPn5t3pnwKli+y8/8j+wbq9XDmvPwURvx96biPO/W7X m1r2CBn6KsaJZD96LKE3s7jtCaYszMZ+XR5E6LVfM2dupeKDT+cCmux/Nkey 83tk02CVo25QT/bHBzZnBHJepOPJPJNCC7K/bua6bPQzMQOhIfEeK8wGIapt UBqVmIlD4rrlT8+R/CF8VYfrRDZcVym8STxD8oftC01wJhfuv8+49JmQfO7S 6mW2N/NQ+97Nc+mpQTTbNFeHm+TD2itEb/kJst4SqSavcwUYMVGwGjQehOPX 3HSZwEL4BHSdCTtC8qOKZ8GSvU/hHdejOH14EMuud5fZX3wOvrNHjKdIfpMp kLREuu0llmSIv5HWHkSE4EUhoabXEA9Z31ZO8il52cFNctzl4IsJ7+vbNoh9 St1SHR8rQZVGvVhN8juhcGXvSc1a3NJ4GbFsA/n+G11CAzY2ImnbxryDJP9s 7G5yHvjZhMNpuusn55H2/ryxv/hfK6QV5upfJflw9uoYWeul7TAgccCNIvWJ s2HqK/lOLJV77butcQAPzk6EH17UhUWx6UvTXw6gIOXWTmOrH4h+llA3J3kA fIXfNcRSu6Hwdt2D294D0DWwDlj7qgdzy+ZlH7s6gD2nFzYXpDOhvWsNX7M+ ydfbd/F32VOIWelTv1lxAIsqyjWqJVjYdOXh8nShATiW3in7lc2ClKpJ67Wh fkyeyD06KcWG5YfY2PT6fqwXO3LqgAcbV1zdyhnZpD4eiZH6U8/GQJjFH8mA fpw2TDzdJkCDa+eqlpgr/dB4+b5ES51G0kzgdR6dfqyVGuI/bUqjfa27uINs P/ST7B06nGgMNyYz//D2I+hcssHeABrc/IJCT5h92BlI67RE0RDjTY1yLe/D 15sBLgnxNCo3TfoHJfdhy4KhTs+HNEoW8Jt0uvdBZt81F8TS0PHRE7M734cp ofvnbMNp3Eg3+nBoTx9Uav7LfOBHYz339E1nyT7UBq6n5V1p7DZ2ujg2pw/f zl9+5GlD43HtpS013b0YXR7i0X+WxqXIXJ6h8l6Y/JgOStOjoX+m8pbV416s UTEoGdxOY8My5Y593r349OKSxIA0jQu2ldKOlr0kXu158m4BjT/ccv/M1esF t0HVkbRRNj4WKfFxNvUiZli0oaGSjQ9X261q/+PAQCT8zZgJG6qneHc0e3PQ EPzTUno3Gx6CBSk7rDhw5BdV/yzNhqfOWfc/RhzU237JneKwoCJXNuQnwQF/ S6znFzsWgmbKdjaV0PCXNquZMWJhscgtDa7HNDScb0Z/UWFhcuWLPM9AGt6G gr8KflNY9ssk25/MC8/QUS71GxSuSHWHBfPRuDpuomV3lELLKl7fyhE2eBOn W65voTCx8/c7zS42DojUlHeMMtHJf1tH+CUbPxuOxp6+ycTBxxpfhm3ZyNK6 5cJ7nAnXnfkdR0zZkGrV+np3KxOxBZlmk/psCPz9qd73uwe5zbfXL5JnY6jZ hjvdpgfGm65MGfaxEFM/9qlXvwfuslkeFR0syN2yujZHvgfzFynMOL5n4ebU o7Fsdjc+qZ2Rf5DDgjEjfv78M92IKeqs/eBAxiG1pH5MrRuG89qvq1qw0Bjp HvdKpBtdadotbadYOBJlZVPZ8APvpJR2N+1mwZN95EAXfmDjyr22oUIs8LWJ idxZ9QO/L7SGNXOzkH7y0Iah0S5IbkoIOTxOQTTwSKdhdhd23Air+/2DwmNp wU18ol2YqO11poop2MsaenozvyPcXTdhIJuCe5at3KPo75hZVa2o8IiCQRE/ V/nMNwR5djob3qeQGfU62aK2E8fDNWtlrSmYGz22/OTciWZjRwWmOYWS+988 G+U6IftpbHHrGQrx0+HiXgFf8a+RS+TJQxSe2flkbtX4Cr3mwMZeLQraKfIS 1/s6MOl/7WMeKFxOCZhz50AHvgXzurdvprAxUHCx1mg7lGyiWTvlKPwzcmok IKUdY28u3WlZS+Hp1rRJz6kvON57+FuiKAXBfWZ/5NK+wFJNzKl5MYVdL5Pc 9hz5gm91OSz1BeR9vkXJJKd+Rr2kxPwncymM+JpeiTH6DPYLx0Nv/5J1ERm7 8udUG3i+GZBckImTQ1W12QZtWJhxQmrnMBPHDxQs/2e8FdHdttIS/Uxsz9T+ kZ3QCtGyFKYyzYSb+9Gsyv4WWHCP9Qx1MbFCCsbyoS3oNoF+TCcTWVX3Bqu3 tmBIka/Kvp0J9RvR7ND2Zoy42Vh5tJHneQl+8r7TjF1Or8zLmpkkXsnrJUk0 I4U6/kn1ExOTr/Y6tZc2gcv+SOeXBtLf4aCyTeebkJqzoDD/AxP6v2RbY7ia 4BIS715Sx8R5W2SLJnyCxn8xLpO1TMhZJcanaXxCde6zz1drmFivZvBB+0sj 2h1PvV9UzYTO+7zcUftGGK9PC+FUMnHiaqZEkVAj3tvOMR2tYEI5R33CJ/0j EnV/2G4jdvp+K8BB8yMa6H3TWeVMhFqn7+F91oDAs627jhPLHlwv5thTDys+ D/Ots+dpJjbj9KJ6aN8qfHiQuFhyNL9N/QN0RxKWhc+er0lbYyFy6T3Ot6ix F5P2AyLteA8H12Eo5bxMNXExJzi+tPgdqc9Mv+aR/j2yZHIKv9fi0j9FXB+r yHdcY5R3l68WK+q+3lxL3k9xdc0uhmINsvNdhXPI+zttnLt984lq5PjsZlwj 4yOZvc//j3sV2pmd1qZk/Hrep/iZZ1eCzzHukBcZ3xRPxsR4ewUiI1d7djUy 0fT6fs1+gQpoKiw6aEXmRytdZP73XeXwDFZ8I0fmb/HHVP4TjmVI3PundSWZ 334UPNpd8BYXfvFYqpH5t90QlCk5Ugq30X2yXmR9nOVqlHNSK8VROaHHMz1k /G9WZVoL/IssLteTj9hM7HeRZDvmvYZx6ZKU631MbPHcFPPIrARfV/C/txhi wn7dVbWFwy/wWaskrnKMiTrlGaNndc8RV5mVsH6KicHjYcKnnhXjZaWRZhYX BdMwl7rPWUXYelev4BAvBZsXQiJD+c/g43BZZuF8CqURKz9qVjxFeEpJB72Q wq+kQ4XmPYVYOCYn3bmEwlVxYaNVWgWI4OEdEBCnMGSoui7aJx82R51N90pT UBY3//FvSx5c7Fr2Ba2ncNekXopLIQ/Txtr7+hQoLDF9tThkVS4Kj40vP6lC YRtn860lQ9nwcOALaN1O4bnOtQKnpizsZbW7m+2icFGln7v9XQbadhv+m6RD IbKB2aNekw5/BfVLDQYUXJq8BXub09AdUOzKf4zCpa0ZzJahVCind04dOk0h g1OjwieaCjmbpL6HZhQon3nbwvSewGLd/AvjFsQFu5akBDxG3V4EnbKh0N78 fnSb/CMcZxX1b3Gh4CeiaX3cLwV5JdPPsz0oMHn2mMn/TIaVG+eynC+F+QtM G5+2JuHTzOXVWyMp/HFS1TY7mgRhkU7hsjgK91YsrC/6nAjfwxHVhikUFNrO vTvNTkDsZs085zwK4o0pF6SWJMCHEl+yhMTjw5rTL5R1HmKMd2VE9msKD932 cr0h+brSmY9R7Hfk91w1/dXScejkFN30aiT9c8886+MSi/FiC5V1nylM33E3 Kd7/AIZZ3zddpkh8jVod/OhpDKpFqof5+inUagyl/doQg5gR4dC0XxTGpYqM DddFY552SDw9Q6H+++1LqWdI/SdQkXJ2JQsTSUEJf0cjwC16bNnEGhZe6M29 4RgeAb3XW+eEyrJgoXYsbE5HOA729bx9o8rCFkEdu0LPcKjsCDhupM7C/liW d5ViOEZ/TtA9e1gwoJ/Nt7sfBsouP5zLgIXOw1nbXmmFIStK5ba/MQvlw7Jy H6dDsbfwyviS0yzodwpJfnYMhbqQ8VkxSxbiecx4dnjeR2zu1RwhTxZED0fO JOveh9xLExGGLwup71NL/y67jzkrH9wdC2ZBvHwptuaFwHo4enVTHAvjL/qc Bu6G4HeH8xaNFBZuW619esAwBAOKliuS01kwMh1kGf0MRr7sk6UXi1jgee9T IBYfjKrP0ctKS8h+P0+gvUA3GEzu3mei5SzIr5+w+pAXhEa9izn/NrBwUGGc nhcdiN1dfME9NAu7J8qr4k0C8TbtZ+HzQRb2BGnvml4TiPoGqTy/3yy0/IyQ 78oLgLrD4EoZLjZCJ8UlQ3v84bDGYJvKcjZ41m1OZRb64+CCkIjB1Wxs0jri Gc7wx73k72lPSN5bWhSv9U3eH/8ZDHYJbmLjod21IS4/P7RuXXMgfx8bbG3v qhUX/WDScvSP4UGSH1W6W+6BH87z9OkPGbCR90fPLm7cFwnDxrUSJK9Tkp9f kOboi4MjK9jH7diwvm3wzPSELzjbEi90OrIhYR5X17vDF+Lfn183dSH9qzqw 0nyuL2ICs/ad9GYjZ4BfV++BD5QFRJKk49mQYab3cHv4YHR++oPAZHL/1Fqh i1d8IMK7QfJ3KhszrZ9XCOz0gXeDXVNRARv6L139b3G8YV9yq3pxDRvLBffk jLd4Y80cD6nzH9h4+86udKbMG+Ke2fxZn9jgbtA5H/bQGxJSVS7bOtmYe8D8 P3sTb4QVWXDJ/GJDukW35r2uN6QVWyuOj7FhqLrV/L6GN84EWoh6T5HxfFRx zljCGxE6O2065tG4u7J8gQfHCwX8yj9PraKxd0PEpdGvXvCNcNO8voa4Ynhp +UcvpAr2r/eSobFoamP/6RdeMP078TxFkUbkmn+OngrywtiS0blFe2k40GKG 9zy9ULSzlEdMh4bt2wphbicvGMb7CrodoqFe2eo5etELw3POqu44SWNLQn6f 824v7AnkE75rTaNDoGCO8HZyvzjTuuoGjWA7ZmefoheYjqnf+UldciH50jLL NV7QFPvFxfCkYb+5V96IxwuLinfb60XTUKicl//9LwO92Vqx9qQuEeTt3fN4 jAGvwbqe6GQaJxeVcT71MXBVketHSxbJp9PENm9nMRBpyYgZzKcR6+Ez09DF QLfS3tvcxTQGf17zCG1l4K+eX5nkW9KejHn3y0YGlrXLyMtVkTrI8py48AcG hALEqpXqaITe0HDXrGBAeHh/jFILjYEsa7vYpwwcsRqk53JIHfXCqmRpPgOH 3zxePjhA41uGdUVhNgN8dUE+Lb9oND4x1DJNZWCNqodazBSN0+ukeywfkfYP tNxxmMNBYvjk48gkBnYGTQoemsfBqmnjJ0fiGGiUj136W4gD++ray90xDBhM M+6/XcqB/p3zx0OiGOCSkjLzX8FB+cGvNVphDMgZ6fMtlebAUym3Xv8+A/+2 6XZ9kuXAOu6jkF0wAy4jX5cFyXNgdGqwmT+AAcvcqoSJLaTeGTeXd/VjIHF+ +nj6Dg4kfrw5K+jLQKacUvExcBCVld1S6M3AQTqxc2YvBxtHWJM3vBjQENlt /fgAB2v0JbbrMRjY7W90VVufgyojgTH1ewyIiIm1UYYc8PhlZGh6MqBmwC50 O8aBRUPTF1MPBl7d+8stasKB7ls2X5g7A5tDMmozTTkQebv5eYcbAxd2qvFp XORARemvlRrxyhO/39RYcCBgG5GVeZeB1VnrRgxJvWZkUzW5mfhZ/6onbXYc rF+2sW/2PErmK8n2k46kvhsoXuxELFHBuP/ZmYPv7pfnqRGr5EfUH7nLwTXz Q+bbiNfNfTTfkXjjHYuaLcQR+9n7o4nlTqvEKhNPFAq+/Er86rTQDXniqoSm aHM3Dn77a/StIZbfYax0052DG73TARLERpFPTWOIv9TQyuKz/28joxP0ilhH VMl/FXFcvzBnhljV65aVCHFtsFSEjwcZ/zK9cUHieXl7q2M8OWAeU/wqQCws Mc55Rby/WKFiPnHAnG6Bb8TvBpwT/yH+pXRMX+oeB6ZFmn48xPoZpVUZxAz5 oSBu4hwZyZ73xNLh+VFziUtUi6cHiQsOOjyb/T+eOeL3VFQYHMR86ZH8e4eB mcCksFfEY6Zy2lPEKctz0zuJn/z1sP1DvMX415sZYvq+acMEscrUCvZeLw4c kl+8HiX2vjKo8J74+2Ur7lmb8GTsHJz9/Yqc/n/EJ67H6i0i9ffSHeX9I8QD 7RIWR4nDQmI1Zx3aWWDvSKyw7Xbc7Pkkt4rbbtHEsdfPT/4kLglz9n9J/MBb //SsDxnkRnwl/h+10eid "]]}}}, AspectRatio->1, Frame->True, FrameLabel->{ FormBox[ StyleBox[ "\"[\\!\\(\\*SuperscriptBox[\\(Ca\\), \ \\(\\(2\\)\\(+\\)\\)]\\)\\!\\(\\*SubscriptBox[\\(]\\), \\(i\\)]\\)\"", Large, StripOnInput -> False], TraditionalForm], FormBox[ StyleBox["\"w\"", Large, StripOnInput -> False], TraditionalForm]}, ImageSize->{500, 500}, PlotLabel->FormBox[ StyleBox[ "\"[\\!\\(\\*SuperscriptBox[\\(Ca\\), \ \\(\\(2\\)\\(+\\)\\)]\\)\\!\\(\\*SubscriptBox[\\(]\\), \\(i\\)]\\)- and \ w-nullclines\"", Large, StripOnInput -> False], TraditionalForm], PlotRange->{{0, 1}, {0, 1.2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.40637328961401*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztfQd8VcXy/zX3JgEExAaKDUV9KHYQUKoNbCiiAjZQ6U0QkCYgHemogPRe Qu8QOgSkSw29JUAgBEKHALlnz3++s7vn7g2pN3nvx/s/z+dDSE7ZnZ2Znbaz sxW/a1GvduPvWtSv+V2BCs2+a1qvfs3mBco3aUa33He4XHdcwb8CLvxuu1z6 B19X8UP9kZ7fi/HvwaJbt252SEiI/eOPP4qzZ88KulxL5HsX8F+QnSdPHpfH vvfee+3HHnvMLlCggIiIiHiVXwkRM2bMwC1+dPfdd+Nl+4knnvDI1u3mzZvb d9xxh9izZ4/o2LGj8Hq9fq1Tw/QYAIiDBw+i89f5tlts2bKFH913330u1ZqY OXMmtzZy5Eixfft2sWHDBv/W3PoT/qukaoquJE25MVQ7KCjI/v77713LMtZE sHrv5Zdftp9++mn+a2nKTYTyz5xoQmzdutVu06aNXaZMGTt//vz2/fffz+/l zp3bfv755+1vv/1WjB8/Xly6dClIfWZZlvjtt9+AVNvtdtvPPvusXbt2bbFt 2za7ZcuWTLts2bKhSdGvX7/8KQLsAYkZfSdPnsTzVDAnvwhlmOPi4uxPPvmE nz/00ENi0KBB4tSpU64gZpVs4vz582LEiBH2Aw88wO8QB4gLF7hVMXDgwCDc dHnExIkTeSzUOWCVt932U089Ja5fv85tpQK7mD17NsM+bdq0dMEeIuLj4xlZ eFa8eHHN3JIBcvDQoqKiMCRumNiP5wUBxJ+UKlUKrwSp/jU74l+NGjUeTgVU dAzWatq0abpA9dhfffUV36cJJGJiYrLx7WzOmDdu3Miggfx4rWbNmiZoN27c cECrV69eaqDR9LMLFixoFy1aNA3Q9JTbuXOnrQSN6Nq1q6S5go/IaT/zzDNi 4cKFDB84Gm28//77JnwakFTg073RpLYrV65sP/nkk3ZoaKi4ePFiahNcS5nW rVs7QJ44ccIAMjt388svv2BaMUsOGTKE2yAKiXHjxmEQkpU1RxKItrqS5chQ de/atWvi5s2b/NfitGB026+99hrfJ4S5chvTC/O4SZMmPH1KlCghpkyZIhIT E10ZBYemqbh69Wp6wYE4x33CtiuPwj4uGpFYtGiR/emnn9ovvvhiRsFgiUb0 Ty8YmqVJornUE7F58+a0+EX3Vrp0abtSpUrp7S04OJjv16pVS9HAA96w77zz TrtBgwYm02KmpAHEmrQ7VMIF8tPpkLDK93LlyiXOnTunO4yOjnY6bNu2bYAd AvW4/69//Ut1mEOsWbPGITeRFcoFIhdihO8RVqCYAuoxWPzxxx/O3Dt27BjP vZyqZ1ynT58WnTp1ggi28+bNi2FzGxASq1ev9uHczaoBXcCoCeafbmhGTAcF gHzvyJEjbGfgr+yBQU2IZ3MF4rVz584M9QNGU0WKFLHvuusuer9QoULUBvQ8 8arYtWuXY0JkAgwtj7Uwoq6AvGyqFVBHv5pLvYprzpw5rDATEhI0ENCHZA4F jh9pgHk8HkgiSEPZcghL90aNGvFjMnWg89FKiGqQsMaP8Nddqvs6derYP/zw gw+YIBav/Amgcv6RAQnKevAHyWgQ3rh4rLAVVqxYkSzQHmaOPEy9JUuW3PId mShMXeI32ESYW3xfCzhIGDL8gmxuxXa06Mcff2z//PPPeJcp5Gbbl5lQmzYu t7KH8a7ul/SIR/GrIhs3ulqCLFWENABJoYnhw4fbn3/+OfNUvnz5nFnxyCOP 2G+++SZmPyzbPIoOuMAQX3zxhV2lShXYViYdTGJvkx1y7w+qcWHyfPnll8w3 kZGR6ftM9koazi5cuDDGpK3z5Hjf/Pwh1StZe4wxAJyBz4jH+DPSIuZnuF21 atVbPrvfmBu9evWyn3vuOVOGQzujNcgQuvYk/yU4gTmJTJ2kwrhYsWLJfyll G3k1mLp2hQoVMCe5tXbt2nFrsHeTfJpP4Xbv3r1ADGuCV155BZa/GDNmzD7j 1Yx6c1n8+4f8XzYe5L59+1h441/58uXZjiahDhUj0RWc3CuusvzszrSa4F5J +4N2ZGyUK1eOJhHJXO1CuMrwz9DU2tCCj3EPu27s2LGq/3QPAZ4ZWcUw+9kM I0tUNZE7LfC5i0mTJmEI/D2s6/Xr18vPQyFRmCO6d+8uRo0axZ9oyFPDYL5b aGG/9dZbULj8e/369dlpJ/8LNpBqKblXTFqk1gRDduDAAdxX7p1bnDlzBqrJ pEVqbThKCHMDfin+KpuxIQB/c+fOZbzCsyR6aFqkCT7YhroVmzZt4u8hbGl+ lVVQ7d69mx9jbLK77ObnfCWHQT9ahIjLly+zOaCcDbaYiWndqT8um/pjLe0w dNJa/Fe51D8JUo+hq0uWLInpA5nF7if9nkaHGlw4rGBQqEZc8MJIIZVJ39eH Dh3ix1rB4ut77rlHY1zxAWM8OPUWkyAZHjnAIlOc39qxY4edM2dOd+qPy6b+ WCJZqoywsDC7WbNmUJFpfOVWX/Xt2xcOuh5UufRBun//fn4cHh7OlILLQRO9 TPq+hgJH0G3WrFn8GGE0Mr5Sw28KLSbBrwbLfIvInhTqJI/Lpv6Y7YsgRKbS eFGj9MqVK6JPnz5JUZoGcEePHuXHIOG7775rv/HGG9DfZdL3NS4EV2DXPfHE ExAyuJUaSlNoMQlKybViBWQy9rPPPutO/XHZ1B9rkw0hKG08lUlPh5LLJ0+e zIa0gdw0wITdBO+UZjY/RnyOZES6+gxhq/Hxxx9HcI2RXLBgwbSQm0KLSZAL eQw6a9mMkESLFi10ECiZR66yqX8qQQ4Wo0ePhu/CfS9YsABuu5K8yTdrohfT EyFdA71pAIo/4WXg+v333xEZUoCm1lsIG6XAEpFCrFq1Cj69iVhTtYWk0tyt WGWavPrqq1C07JeTd6wd5WQemVhN7rnGKtQK9CoiX7DoaK5qrCbbrIqrs3Po bzmkCSW5VezkQAdiQpOs1ChNtitDENitWrXi2Dt5OrAWDJRywDxHjhwmSpNt TqEUP+0dahTKTeO/Hjeep2F5f2DL/12ugfiR17jrcvtWewB9MvfyZOLe3f9H 395OsGT1OIKTuSfDOv+Q9L/g239IelvCchuS9P3/wL0Mgsk/B6T8jVxoz1SM Jyhz3QYazkiuWx06J3tMCBWu4Cfd0gIlUG8+OSjkupQHUNhkkNhkVAihgtvp ACQwj5cBCUa7ellBYB2wcGGb3hbkNnBfnZy38vp3GpgbmAoNbPvDD2XX8+al mwaBeU5ZDUUALka6QIiIyAgIGbXHswoLyUmRf1s7y5dnTTvh4bfHuN57T7az fn1A7TiSA2HvBx6Qbe3YcVuhOkAUOUNDssRTT/lJpUBBKl9eN/OfHZoHT3T2 gf3mm/5QdMEPtyFjU0WH12vbWEHIQkpnbjII8e67QmSiHe0jCyzDkta0g4Px qmVNmJA5uJBlh3YWLcpcOx98kDWTXbNfgJPdwFPSWXF7CcXMtkOKitvZty9z 7bzwgmxn796saWfHjqxpJzLyP9uOv/hJOpp0iZ/bHhdZBc/tNq5/8PPfMa7n n8+UrPGT7Xv3ImvXtkNDBTm2mWhPZqrY1asDNps8YX7YPcCmkOoM1Zw3rxBH jqSrKZY8jn8ZFibhQI60TIG1u+JHWsLHgQAfadtnzJjAB6PwjCYAz7/+haaz Ric/8ogELzo68+3t3u3jg7i4zPPBV1/J8TZoEDjqPPAzJVhPP61jJgE3BUhw /4UX9KpHppt6/vnMNUX23oQJEk9ffSUf9vjfa0fGFQLJwwo287BkY3RlyxwM Gcw/Cjbzj7IAhgwl33iylAQZTUnh0BcH7Dwp9dnFeSV9MT1fcoY7i4eWgdSF 5KJVmek6hZhdamv76Rp9nToZASGjC+FZBcJ/VNzcbvD8084/7aTTaE3mazbA 0mex/hvmwO02l243eP5p5592/pv4OXlZo6EITNb8t+Lin3b+aed/iZ9//DFz 7ehw2vffByJr5s2TX9eqFYis0V9/+GHmxvBPO/+0kxXtVKv2/yc86WinFP+X 8a2OqUZUMoAP1X+Gt/dlVf+y2E6gm918aXCelPq+JV6me8zYtq9UYzcBjDdj O6SyuveMbSHKqt4lr2Voe00Wd53uPShZxd7/e+LYg8wfmVH0wQeZXhfq0MHm daFHH810U336yKaQnpvJpnwI/6ep5BeLk2kgY4vF/9/g5T/YVLVq/0D13w3V P039W5r6n5JNtWrdTlCtXi2bqlo1002RecZNlS6dZU3JooW3G1T/NPU/1JS/ bEqmgYzJptubs/+BipsqIB/Zb7/9tn7dVSirm/dwhWUUOty3bx8++1cW98Cl 9KgFFE1DGaz27dsj6UcXBSqY9fhC1Ofhhx/mft3808NFqBs3bsyFdhISEh7P 6l5DEHfiMUVGRoqePXsifIH6mUEKAFXXE1VVxdChQx/LagBycPVE/bqtao+h AvPUqVNRPZrrrxIUDFAWdv+0/Ji7Q5hq7dq1HH9T9M7Cnp7k/7IhCMj1vlGl FGVUS9PnvXv3Rn4gmsmtXsMVYHm3lOM6AVJHQoNikwMHDuRSrChC+dFHH3GB odjY2Ht8rwVaBy1dQKfPwNI8jTrmio5cThT1Yem6T5E8sOJhSaOxBN2mTRK6 6tUd6Do7b+U1YDKFCWrLt2jRAvX0tDC5R/UcWNWtVBEYF2fbOXLYNirrHDqU PgRyeJgrEUMk6blHw3700UeZqhEREYAxTxK4MlbZKlWwgc06dSR269ZNC+wn 1GcoA48CtBUqVEgqwx588EFEY4G73AquwGpGpQx2ksx4VNlJR2b8k6o7XJjm yO6sWLEiioU7qM/teyejZZhS3Un94ovAMCp2pwlmIYViVE8vW7as1gsGZBmt ZpQmIv/+W9KfaEBtpQmh5N2cEOJ++gSLDSAtSh+hej6qxYOJly1bBpo+lhYb fvGFBKNFi7TYUGk0KHGxdOlSVJeHUOSwO+oNo84dzQ0961NV5jRneEMLysYe P56unjW7E9lZrxw+fBjdPJVaN+fO2STSJRcA3+kZIJdEZ2rjr1QtO+CvbVuJ v08+SW/zmKdpG46KS06dkgKO5LmIikqTS1LdKEWMy5hYuzagdvzg2rxZDhuV ejX3tvPhhUQJdqjwrwFVa1HY/ewz2U2rVvywjRwQGQvIDRdkIAsb2xDIrOTX aP5lpkdss4Jsu+8+iXi6mss3BHgaFZWnTkXFYLnhlnpFFWlZklsCQRaWuHEj QAAs6+JFIe69F69Z1qBBb/Lth6UNl3gz8dK5uMSYw9u9Jw9u9Z46sktciDtu nT1x0IqN2m0d2rLM2rViqrU2rK+1enw3sWXuMOvI1pXi8JZl3n3rF4i/54+w 1k7uI+b1q29N6/yFNeWXz6zZvWqJhb83sbYvHieuXDhjHdy42PprSl+PWDW2 iyvE2hMxSyRcvmCdPLjdu23xeO/WxeO8+zYsDPIe3r6KgL1ykY/nsBKuXbag rnHdobAFnTJlirB/+skmcWrbd93F9JHYCuE/yQ7HYzFnjiANy2MMDRBroA2a w7Nnn32Ob+fxJibe9J4nDJ06vNM6c2yfdSxyvdi7Zo61cmwXMatHDTGlw2di YuuKYkbXr8TiP1uIZcPaigX9G4ixzd+2h9cvFmQPq/sqaZ1h9YvZY5q+YU9o +a496ofSYkidIq5Qeyj9dON3/MZ/Bad8zx5at4g4sGEhdfdBmvcObV5K9z5U 9/LYw+sVF5PbVbYntHpPjG5azh7ZqKQIa/+JPevXb8XknyuJxUNaEOGniE2z B1trJve2Ns0d6j26a21i7NHIm+djj51UFIGxt3OnEOPGCRb1JLchGTVFwL9k szNbE3uDzcHuudKgiBH/CLb4OnCA7pJeJMODyKo8mju9uE4d3E5sulT8vXCU FT7kJ2K9H8Cq9pQOn9ojG5eyh9UrRmMu6mBjzI9vEEaKMsb1vRENStxyb7hx z8P38qEde2TD1+3xLd8VY398k7BWir59nbBZjN4vTn/Ts58qECNUtya2+dAe 36K8GNfiHUHfiGH1XhXD6hYFEzC2p3b8XJw8sFUsG95WjGxcmvqgFkhcTP75 I3F8z0Yxp08tepfsVAKCgSrKDECgiuida4l4lQjBijlqJ8Mwt9y7k++he2I6 seC3RmJtWG8xu+f3YnqXr8T8AY3E8hHtvVuXjLPOHD/gilQyERdqKW3fLshK FGxfYjt/9ux+c48MRVBZdOoE9wPFjvhLPhEgrUCVo0nIAWFNMmmSKqWYjSkc F73P2jJ/OAuZKYS1iW0/sqZ1+cIeUb+EwoA1pM4rSUZ7HxN+bLO3bJoK9Gk9 TAkbrD6OiIImMOKIiT3A4mLPmlkWZNmaSb3A6tbW8HHeqF1raYYfsC6dPWVd vRhfWLKpuHkjwXv5whmCaj9ElnfbsolW5KppVuyRSGt3xAwSBF1Z/C0f2V6E D2omJraRwmD5iHZ2WLtK9gjikWF1iyn+KhIkYTYnuABbgepydDnEkLpFMAp7 BLEePhvdpKyY1LaSNad3HbF14Wgr5uA262bCtXVJlEpYmLBbt5aTMnduh1Tk ndhPkgH9+ee26NJFajxy9fIFIiaV2v7rL6koYXddvqwKs0n71rK83qjIv6x9 6+YTvLUheCSB7saQLWPYzOIY4jgSlWObvW3P7P6Nd+3EXtAb1srRna2/pg1I 3BUxIzEqci15TYlo3fUZd5U78erF84kn9m+1jmxfKY5sW2WBeNvCx4p5fevZ EL2jGpfiqTOiwWv2mCbliCJfA8UawyAI/WkPIzBIQPNkHvPjm4LYTIQPbuHd umhM4vlTx5aogR09KlU2FJESeeZkeOYZ3porfvtNiFWrUMuHUfFQQIpIWiww R4Dh9u2l/xiaGLlqBqnbKmLcT+UJ9FdpdK+BUayhtYu4JFNllxitX4I1zIRW 71trJvTwHty01Dq2e711/SorWFcjbi8Hn5hx8exJ6+CmxWLZiHZiZo9vxSTi XRI0Ymb36sTLzYnxymmMDTUIJ2XKe/RaDSt8YHNqIty6kXAVzU83WAEHh8yd i2OYbBsVWPLl81MU+fPb5MPZeCyWLOHXkzP204OxEyekxXXPPULExMhjaEJY kRz+ezmrYkwzEhrgQYmsEGK914jWzb0bZg60Iib29JJmJy5L7KAk0cW4E9b2 pRMJN20hMC0o+nHNywtwKrGOxx8vPGeluH+VVcCiP36EFeWNObTDSrxxY5zC C2IsK1cK0bOnYKv00Uf9OOmxxxhVom9frMAJERsrUvJO0oMXlBoqVEgK2WnT cshXvYk3rpO+bwmtBGtB6juyGTBPSDtZF+OO95FM5407usfatXKaIDkpppNQ I6ayYTaMaFhCyd1srGWg7Ca3/UhMImVGJoW1bdFYIBDSfLChWHBWxoYNQgwc iOM3ZO0GqHnCQJDBGTDsUGOpZUtbzJ+PWgWicMBzSYihQ+VcKlpUaR7mDJLd gqSPmjvB9vC6r1phHT7zLh3x883LF+MTcRjXQAk7XveS7iZ18auFeUGSSoxq XFoMrfcqiB6smiBpIiCrV43tbEWunu6NPbzL1U8RHjqVvFoxfLjgMg5Fith2 SIhDePrVLlbMths2tMXo0YiJgHrixUCGrYQ0igHSlLNVgSHlTLCGvRgfS6T6 2BXE1g4ZD2T3LPyjiffSudOuUcYMvnHtCtvvpHhIPJaFvSPRlcMa6ifIi7Dp BAm6aOCP1sbZg70XzrJF0FW1Bvtgxgypn8i7sXPmNKiejckDRniOzO6aNW3x ++/wtIVQZwsUyRgaHANDBscgu3XNcS8pC56ngHn0D+Usmv3eKxfiJ0nMeSEl N5Ptu3pcN2L6X2lIbyhGDxHD6he3p3WqKmZ2+0aQ0+PdHTELyGxrIuwGikMJ MWCA4DqQBQr4ibyCBTlSIvr0kYri2jXxWoBDQ7UEDG3QIF3VGhybuD18PEQR mxekeq1Dm5dIkSxNK5r6bLwQh9rTyaQim0mwwVy3qNth4qIk594hm/Y7L7l9 gvS5q5kxRLjj0IUw/8lRhmGohwjXlawMu0MHm6XX1av8RemsG+KxfZuJesxx FrlU3muXz2NYcxXfJ968bp3cv5V0WQ1IN/YD3Ip6xONsSIFJp3aqam2ZN8x7 40ZCA9mydeKEZS1bZolu3YT96afSjUkilqBhnn2W4SKZgiPOxFuBDC2Hb2gj RuCO9HlIQowh8xXKhIZ28+ShHeEKNlzwP0E1qB+o6SE+imHqkWAWM7pXJwOW nWDX94piWPYbMUKa8WQTYjTIywxKwpSoYtixoy2WLxfiyhVRIZPDGjQId8CP NFmqM7XI8Uw8vncj7i1T1IK1eP7kUTH/t0bkG5eDEtHU4jHBEqHPrFXjunov xZ8GFqoZjHj5MlJLcAKUsHEoV968djAPK1gUKoT67rYYO1aIM2f47WQBT3NM wbeM6fK5OKUy3OTv/+S8v8qg1cmDW62FA38U41tUsMltxIR0Ky+TTANr4R9N vcd2b3BVNgYTFSXExInCxilqUA3Bwc6seuIJ265ShWWiNW+epWXix4GMJ1vS 8VjLRrRnWUjIT0y8fl36FB7Meu/eNbPJIvwQBrLb8FpIBBIndvFunjecPriq ahaH8Gxfu1aI3r2laaOiaSarIVb7yiu23bQpDk/DWov4PJPDGD+etcTUjlUw JazNNKvp2iSHYV2IjYbtQhP/DUGelDTaPIiAWKvJNr529RLeflONAHEzsjc4 TPjaa6yfk44AkwV+LxwpKCiyaL5IYwRG8bYQDbdlDRzo3bksjMzHol6y7Lcq tHOM7uYNcXzPBhHWrrLHsc6KWuT4aQerlIL3+HEZH/vxR2k8JDGl8OdLL/HS EHSv2LOHUfUVvk6fj+7A6/X+8Qch8DWeypPaV97Jj3MmJt68aUUQfuGtDpMR Cy+5YfChOUhCisRaO6WPlyQtEP2KwfEwiLZsEXCaWFWS6as5/p57pJHQtq3N 2lTpke8CYRWS2U2ayCEMH65nrnft5N7OezLy4fYe3RnhvXblorVx1kAVAHLD IfIe3c6nVbqeM4CH7Fm2DIfyCPvdd/3cbZQ7IXGKR2LdOjlOumoHAjzhv00b AJ8Y17G1mqbFEsl626f4G9ffC0bCGwOTBCn+pmmKsK6XtIE37vhBcxUfHsX0 6T6eMQQNwjwwvnAYBoJ8aqGyfqYgF0ubVmKdRizCkT3JOQy5N/GmtX7abwiM itm/fsu90UTmgY76oYxYOa6L5SUOo+tRYwiwQEiy27UJp3C9kxEyGAqNUODU aDI9mwQ4hJ9/5iFMalSWORuxF7qOyk8wE8V4eON1tAfuZr01rVM179mYQy7z TEXI9zFjpNcDGZIEZpjD77wj/T7wFfFX84BgFqJ7d259dN3iPFlXj+8OmKMk w7ARSCYwMfZHsI4Uw1gIAGA8+9fNQ8T7HgNyJJ6MGiXs72j6Pf74LZCjXNpH H0mDCK7dzZuiVaYgF2H1S3Ng48xxzviQNd1zMOQ3Eq6JpcPaCsRjEYw/snWl DEiQ+zmj2zdwOnIaoGP9AKB/+22yoEPMkOHASN+7l2fqz4GAHgzQhdcdZI8C 0okDrl+56IrlZ6HkTQxzgrkq6kVc827isQNblL8mgUV+y7Bhgmv9yRp0tyie SpVwjjVWonly/hIIsB4Am3ioQB4tTuLkqyT6Loj5AxqyFebEk4gM2xePRww0 JRhdJpD332/blSvbcH8E1lUJyC4BA2n9/dIDzMJkrZ+VD8ED1lLiVfZbahex hvaKsPvXriz61HjP+/bz401YYH6QGSJwfBqkGWm+DG5mMmDxriz9KIuAWT1r SYRlS4oQ65FHLCtvnmjrofv2icG1iqmpZf9Zp4Q18OchYtcuhqF3QDAgSiYm VXueJem4FuX1egwuIBpRhVsYJ5jxQIwvvvpKJP7RfbMY1bS8S1uioxqXEgc2 LuKGemUMKJNtOcb01FNi3NcvMHCT231yzHiMOAZMFKSnIAidhKtRABlEgr+v EKQyHni+nzy0057Y6gMnRjOjy5dW9K513siVU1n6Qi0HtENNwT5rFkuc8TVe ZkYLH9ziiO+xdfasJbp2FeLDDwXb5OT/mbAjfkkqyIRdOUIM+9kTh6yIiT2s 6Mj1Yjx5Z2oxB0FBHdcIaOVcJrjwwifZkYuaV2K7l2bpAWNkWKeDLY6VbbwZ GqpBh/fHizkIM5LYEjgwkySfOstZ3Lx+zVo2vJ2p1BBET9y2aCy/0TUNmI21 vBBZUFNlTszuUIXFenzMYWW98OwZNEhw0gOZTSZyYbviSOWSJW1r1iwLkZL7 DMY4dyqKOO1jzcykEN6z4o7v5zc64mf6kqUVLhHWJwhH1GYpbf01tV+kghAh 7MmTJfuSH6bX6WF1kG3AVnV8vMgvpyoHWBB+wOKDDDgXsQDZzmWTER/vlAlO jYpiw2Z4bV738u5YMlHVKtSxPimLVq+mG0uW4KtFi3jm8T+ccwjF8fvvbiF6 9JAyDb/J20OGBOE9KDIE4jdvlv+gZg4dQkXG+HjsDb1+XaKLun1cwYZwNjwm uK2I3WGtyZniHtYH1apJPzw6WhTw4QnTwlo+qr0Y9UNZqBlerJnfv6E34eql XzKGJ0dEVq1qD6/F+EmMjJghGVUev81xOZhgf/3FYUhyOmTKTY0abHfxoSmS Tx9GN3DXtIWAGplwRsACLVsK0b+/KwhpFQgjo0mJFZdOm8TMBuIQ4MdSUWio n9CDoVehghQamHnKxn5SzT6InaM71mBxxzEpSdd5N88ZirUJV/uAUMOm1TBp f3gPbAxXSxwSLVjoHT9e5saQ7mbHF8Evtzsbo8ItUQGR8dRTmNnvvIN78Hqq VME/5KjVrUvc2ro1Tq1v2FDiiujOLwC9QETRotIbhSED3QzcSgfbxacFuHIR Fl22rf+hUxyIgW/QTpMmklnBmVjtlJjzWY9K2WC2wlTFAnUSXxhpPf37C7Fm jRw5Xc8qmXL92hWB1UoEDLXUm9qxqnUu5gj3EpBdKPGu7D4sL7fWeMeFiPji xWAU2/7mGzlOySweRkcOHwsCZSALFgUbNRK86I5pvXAhTJtHTUa/ckXaskuX sr8hupGO+eEHIaC/cuWSFprEegj3klPmhYE4yM+FRIAIiI7GOq6VkGAhJMhT BQAQFpPa/tCAGMZZTuMRL0lyeOOPHxLjW7zL1i6syEntKnlPHdoROB7FUCX6 Th7c2ULTHDmpY8fKuthQc3nz+vCXTQZsixdHTFqyDvm9zD5wIG/efElTA1MW 1MAjCIfevYFmnqc0RNmaR+xxFRL9XU3sDzzhdi73VRMPmBtw+Xv3llKYrmIS RLJW/rKWDG0tRnA0ugjhpLz34JZlbQLCg2WRT63mceKxXeuaavSA4sOH2+zo FCzojB+wQaohd6pxY8E+GuIpiF4IUUY1ei7qvJjWda+oVWqP/Uiu83JgOe07 XMIOcln2C64d9k+uXmKj61WRAMEIM+7LLwVPJbSWwL7Bq0qCkZiySFpBppsz yZtw5RK/0TJADiBi6Jl09vj+Bsas5wgLaIfyvQjdP/CAxECIXEn87DO20UV4 uOCImRDljK+Bul9/FYwjRA6MRSmIkK+/tsXEYZet+MUbhRg50uYFLBnxcTpB vYjSpRHVlCyGpEUhZKyL1xq9J/aR7d24pIOQYfWKW7tXT2fR8lOACKGRKoQk njm2v56+DRmIw+ZhUxkwYixVqnC0jR0GGZUyEQE9RlPfbtYMhcH91DjwQvjB 2gjwFWKKMb2uiUXWmjVlGX0364wg3TfYEFr0o4/YIBUbN2LlS0sKL9mqC/9o 4iTDwH/+K6xPoGgxJO7F2OO11DRUSWVC/Pmn1EYyVCpB9MgBf/89RwvITnhb NQY5Ae8OTEXC05zysE3JeGA5e/48Y8LJ8kb6B4Roly4cGlFSyQ8dd96J0IPk S5k69YJCx5no/WJW9+rW6B/fsEc2LCkW/9ncG3/icEDRID90JF6IPf69mqS8 KDJsGKYKdLnEAZQPDgICTBcuaBzAk1ixQmAtHsv12gKGtkLiBnQpXXnN+Yiw y8SJHIDjQBz2R6ixgzOwtQbBUYTPJRvqyOrO5WEC2TgcmSCnJnxwM0Rkf8z0 2G8e3/93dRPEc+fkAghEvFSHihWEAHjQnFKsvWl8hXRhxB1h2agMID1DoFqJ Sxh3JGPMaKWIiZGzA6wAuhtsh8kCUYpqKWfPPqupQypp3/r5yBnVEsOa0OoD ce6kNEZSiWZm8HDHSZMm8bY9bI/CrqP169enshfCD6U3Yo5Gfq1vQ4OuWiXP qciRwxkeMPvee5bVuzeOhTJRiQ9A/y5dhP3667e41lhlxXIkLGRpXysL2SMt nPnzodBgkPrNKkzq996Tvg1McyFkYnwoEhvEhJbvO0JmRIPXvbtWzgAgrh/S Qudd7PakVcAeBfNxDvcmAC2gj4fjfOm08CmzkmoXuXHy0M4vNQPA7ezRA7k7 riBtIcMQrFBBiJkz9YKI603VDFAye7b0UskmS2qaICIHf0PudFCzzSNNFehM nGoVGupQDZ+9+qrgT86eLaSotmzEz7aam2JYnVetU4d3obHGaSEvzY1khw4d 4sdqvwdvJLvnnnvSy4ZRezdV02hbt066HSEhCm1u6Wp06AAp6zIZEIbAn38K TkDLkcNvLsOqxZIZAockn15Rc4Uv+LvTpqHAAjaL+YgDEwDqdfduxzHRGxrB 7bGHdnFOBfJsxjR7y0L8iqxhPGuYNgLT2PCGUlkFChTAdiF+jA00nTt39u3E C/GhjaxozoO7Hr1n02f6tlbjU6bAynf4ADsIUEgCGViJiaapAEpt2SIwRdlz IPmuec4tj0Tk9VF4aYqoJXRfkKroB/mAHo/TF4HPXo1kEY26hCsXxKye3+n8 Imt4w9e9W+aP1K3WdkaYvmMQ9I7E2bNnk2mUm/dYjRgxIrn6Yg6n/f67oz/P nT5e2UTZtWtShzz5pDMMWAVt2ugtK+WSTM969W6ZnvDsyFLjJTdMeuGY5bIP 4AMunNEHhByMeex4SEx8QvM+IeX6tcvI5XesTCTmrZnYQ1y/esmVyiJeuo5i DabhXrMff/xxEqxRjMGCBQsme5qBgzrCjWN6xJ2oZA4L5geYJ18+Z1gvvsjJ oowsjQRpt+3da1m//mqJSpWE0p/OVMWiDoliTmkmcrxtTlXQfskSjgrR9PQJ BMQ2IBCOHlU7IkPh6iI/Xi/T8PJp2C+fikvxp1z10kacSP0kiujoaMZrPPkF q0hL3kuCI52I816IPfaRiTjSN5xOe9ddDuJKlOB8LCV2yih+gKzv21fATlMr NKHCRR4d5meZMjbb4XhHzU998LRcH4YD/MwzPukG+40MCM7pkh/oTcQkyaZx xjGyxki28B4SuuqmC2spb4b02K1atYL6tAsXLgxVml5Oi485/KGJMNjiXbsi 7iER5pb+YKxcnSutXsWgNmyQW7JefNFvhqK/AgVsa9AgS0kn4bCyNnsQReSt z5IixYtzLo+yIB9VwgxX9K51JP/f5oj9qnFdvAmXLohDm5c4wiwAI9dglnOx Ue+bY4fp/scfsBycsX/9tRBbZbKJrgOJC9Ew+H6wqfwS3zysP5HwNnmysE6f tqqYHSCOMGAAdKwzdszIX36RitI39rjovWLsj5zbhi0a1tDaRZFmobmpZubH fik+VuchiYULZUBXRxLfeQdn4ZZSXwFo5C/iLC2y4k1aE50RyeaVE2V2fmmO F/fGjYPOc8YLxf/ddzLkK8TDPlpbBzcv5i0G0qd91RpCwmXVmI7IUcz8eC0y aN/V442MlAl8erxwLOfNM+cZgnOjR8tNjkmsHZpibC+r/duOhwi+ht/r8fhE J1nAnCFIRrMcaai1b908PUpreH3eQWUvG94Gy0gqBzHjcfw2bewRNV/hxedr ly+U1zi9eNG2mzd3ojREPM41E7IAgbYwMEeRXo6wM72phwm5h/gvPYLDXU83 it3+8FPl1kJZs/LBB4Vo3dqybtzIr0YJ23Rb+FhOaWL3gQyRwTTSzXMGZ3SU MhEsGMzE8e1R373MIz1/Ksol9Vc2TgUViMNgiVE6NoKDLwju6NiiVHMgG5Ya lBPlCuI1+WCOOZBdLwYPlg4oZHYjTVsIRSQ9PPigy5EMBQtq+e5Sy1libVgv nRpoTev8pSD7Ak/AwWivRoADR2iA0DzmeyjaohZ5tcoyVxElbJ8F+HoRAKV5 ZFS1mKIxtuMg61MeM+vQGDEuGFMIjZOulUnLbrkdVs52HyujLimyswgtD2is 0zWrZ01WY2NblLcunonBLiZ7UtuK4nxsVGDDlWtHBOTExuU4NeTKhTOucuZw wb5YA0AlBOmxCdG2LQhRVM97IUNsZCBjHdqUWNgvQk435zlJy0m01I2jYQSF NRNBi9esqT1jaTLnYFEFfpvVozq7JytGtRfz+tThiTylfWVBfIl3vglw9MjR ImKPrsuiAem+LseTQGEQxJHkMgepwNqWdeSIHjW8B4QHsKxoEBkbZhCURaCe TL52erRkvLL6VuKN0QnpIF3lvOq1a5fPY3cOL0usmdDDXvhbYx4pMtBi9v8d 2CidIgxq9dEidecqo0eJudypk09sYaKFh79i0BYh6K5dBTJjTdoiJgnNC/9L mhKio24Uy8FImlTrreQfYPbKUWbnV9dN7a9So4p5kQW7dGgbHin2bdFIXV9n bKiOcH7tNXtkTTnMozsiSpmcjCNFEQeXufIm+l9So8U0RkqCLKnh0BQpk0g8 xHoWmSLd9SjXrJHVN7RiQ4Q2Kiqvwv245m8xT+1ZPdPykg+8ZmJ3zow/c2x/ gKNjqTimxotsURzdHqHzbDmgrjaf24UKyRQ9HbKVNIyORnVhgeWmpClm335r 89qDouGvSSc/QjC68TvvlIL++vX71Pw8sW8z0w2bTpAZDJPpwmlZEgH/H922 Cr9mIAlZGhKaiDEHtjqWAuYQzS0H34hoXL6sh4mQCfa1lCplePweFkGIhGMR kIgn0xLccngxMdjv4pO6zzwjVyZJ6t7jQ56NrdPQgTuWTQ5St69djOekVkRN CAVVcTt9OctyeGNrvMRUJOu6hB4erp07nZxRPv50+vTn9CQWUlMiH5k8JD9t CreTphuPUSUju343B7psmeExuZ1qPHgjj8El8/s3ZPshYkL3IB9U9obpvzGN RzYuxVvE6aoaIAPT0Ed/x0O3DmwMd4Y+Y4az5Ypje0gF16vfHl7AQJ4kAoHO Eq+HRSm2tZLpD6t5iG4MZjByNXWDefLAujTGaR3eupx3Ia0a28kYJ3iXZynG OrppORF7eGcmxjnmWzlOInEx3QkKSMA/1nKxWTPoxUIGiUE+mP+wbWmADokR usFaNqStdF6Ea4RuFuIWtrOcGHIxOSZGp0xdiDsuWKFM+tWla/lYltcmVcpD xYb0hCsXXFUCH+uI7+VsXT/9t6ImQnFIK9YVtJE4cKAuQQTJsmCBzArMndvP Dq5YUQaczp0TelsquzUQVmgIVbAmTULzOQ2anjq4nRXK+J8qmCeXWl6vveTP n8Tu1dMDpSXBMqbGSwhLWhtm/OGMD4doYyEAIKH2u1xqMitBwXuku7xYLxfZ nHEixoEFarX7Z4I5WVEp6L33fJMVYk5a1i65RVYWA1kylFPuRVi7Sk4qlgqX kAVsbyL/FRE3uj4NcOATJoj57z/NhD11eIe5OYJtIzUkXjeNiXEWQARPX87J IG9bDxgvktNL2oSdgqlmY7ACtYbJlw9CzxznhFbvMghLh7XVWn7NxB7MuYsH N4Mnl4nxzfq4EDe+e9UMZ3xTp+qFMBg4errp8mQIQEEGJzHuoWawH1g62mKm bgwloLCgq3VW8+awC3XCxM7lk+VugiZlUL1FJwtdjo+1J7Z6n8e4bkofTddP Ah6nPfkLmZu7fvqAl0zUI/akhRFSd7xeGTmTdU7OnLGswYMtXoUICfEJIxhE WILwLScI12zZpxakMofNlOlyGdrj692KP3EIzhsDFj6oGXo006XOnTrqVEfZ tSIscxgQ475huwm1MF4wMQCRjMVjLaJGjSqgvpIRWhTdESalse6AHQWw8EnV LDQbg/pWacS8ZrBkiRqvdfXSOeQew6VEkRtdj0AxujgWuZ69dxovVl4CHedP P4kpVQvzOP8K6+OMk6xPzkHSNTEQJNHRLzfPVqSNPPSQj8JoPF8+uS6HdWVQ WFabyIlwjcwx0ShDfIbGgiz8rQtGiUUDm4p1YX3sBQMaYoe2IaTF9sXj7YgJ 3cTNhKuBDpFm5Koyj/EQ90TMNDc9kXknvQ5tqa5a9bDRN4JMNBzsKjKFUokS tujQQVgrV1or+O1Q2RjyxrEG4CYPnTzEv6uW01mPdYsS0lDUSG07UJX9PI74 PbgpHCWlAtoB6YH2tha8+xSLpfn9GzkjvHJFhtG0vsGmAaFyez0cIp01S+5s zJbNz3XBTEViKV0Rsl/4I9aW/q3tkd+/4uRxjmzwGmQQj0hWTAkWO5dNYiG0 YmR7aFJ+VjHwOTi5ynM8rAUDGj9rEg5DkwnjcOCQLZVf8ea6dTLqS7zo8CZW mLTToq1dObAc4uzxAygGZs/tXYt3VHN8iFiFWMZKuCunXMMRQo8Pgpb9bRIx 28LHZHZ8Mz5hbYLCI874zLE9/LAWg3kNxsT8wlrICy/4MSb9idAZIoZydLkt JK/tX79AzOtbl4zxkkwa1HTaMON3e06vmijs4E04G+eb7KhPNXiw9mXIdgcP 82g3zxse+ECtLS/nx4YBLK+oBXiZwgQzRbsvcET379cDRZgBmdhIlTX4EwUg kKcjyweLVYouuC6dPcmDxa7y4fVLOKVAUPBq3ZS+1pVzZzDj/Ax4rAxBnSFc g523QuQxHiNEilzu4fWLW8ciObqW1q5rf7908mRr60sPMolXjevmjBx+KYxT tIHgrBSYaj9AsuIVLIxtulgSV6m+rhWKyKiBsG/dPLFkSEt7ctuKsA2Y0CMa vc5VXLAKiJoIU3/53Nq+ZIJ1jTQLXY4NOGSIs9OWU2tlDpNyf6QvS/DPIH+d TKf3cDvdjuu8eWLTq/mVi9jD3LbJTheClnKHo2WtWmV40BzRRbWu11/3Y3Fi FTFyJLO43HTPoWzr6oWz1tGtK1npLx3WSszq/q0Y2eB1Y/N9Ed63TorG2r50 gnX6yG6skeYw4cHZldlUjum338JBVBiwrp4/K8I6fMqzYMu8YQHtu5e42Pl8 PhYwc3p+7+ACqha+G/rNm9eytmzBiEwnGyINmYhOxp6U0qgHoKS0rKsg9dDl c7Hi2J4NWLgkP3wA72Qm/lW4yMajwG4zlFwa3bQsSnqJFSM7oA4g4qYO++OQ C1gugAsLgHI1P7cx386eOMhFKcY2e0tcOhOjl1wDQIy1+5n7JZN1/eZpxXfs 6KHz11/Hym4eNTkgDaGUX3zRNzkwgUli8qqxlu+ygoa0Lr2JN8WF2Gjr2K71 AtVfyM7ALiwA71baGWW71FKUS9dTQvRixch2InLlVCtqxxqkHfimqeIa+HRq +6v9xBNwZDSgBzYsEqePyn03mcDMoSfuYczM61fX9BT1rlhOD5OKPadBGmWJ cvDLFxRws/QE30RFCZf0OGSaPcLIKJmJ0pjI4108uAXXekO5ueH1ist1Ii6I 85YsHhNqjybDc9EfTcVywtDfC0aSZBlvHdu9wbqecEUtpoXIZWkkrGvzFily WrS4xcW4E/aWuTIM827AKPKezJeTk86mdvzc8SmRxwK2gLW5ebNpUUZHywJe 5H+ZMQSsLYF/SLjK0jl3slyNP3mYS25F7YgQ+/6ai6IF9vpp/VFQDMVXMLN0 ZjjzEepJaT5yq02nw2mmhbX/RCz8rREvmC4f/YtYO7k3FlQt1BdFEbMnTNrC AtBBECimbdvuUrQlTlbBxaICqg6cHlBtE4m5s3dnZ2jH/VTBD4DZs7VGkKEh IbTbAd2AEmhw8IzIGvZkIsyrqiaOUKwF8yPhykU4ZtaBjYvE+mm/cblIYmax elwXe+nQlvjbntWjBrDpMfacT/65klLfEomjGpfmkHH44Gb26nGdxcoxv4iV ozuJbYvGWqejdsM98hU0wFIk6vboYB4KOmrZ5YElLsNYrd6H3AoIf8Esz7FF Wi9ge2/eVLvIPLIMsIwIIMle1SnjaCxWgAoU8MkuqBzEJAGizl0ZwO/n4a2L 504dsY5sX2XtWjlFbJw1SOxeNV3sIBW2ddEY+6+wXmJOr++53iAqhYIZgSfg b8ovn8lKd3l4rGHtZdECp6omorMNS4q5vWuzf7VuSj9YO6hzBs1hoUKn8lb8 4nPQVlh6lHv84RgaGgH05Jbn96vHC6/lA0Yt9+AkDZ05qSqmKiiOHdM7g3mv g2PM+IQfIoXY/OULQrix/sTLx2RzujpLWATmOIJeF8+csI7v3SRLxs4ZKtZO 6iV2Lp/M1Sn/XjCCUT2vbx17wk8VOMSACpcI549t/raY1qmqxq1R34TLyvnd zs1fTu/8Ba9DorwriufS/9RyfbFx5kBxnOTnkW0rSW/sti6fi4PXiwE5C4zA PvaCyZRiWXLLX/CTbYeApgqBTMkkBcSw2lw/1nvuVLSPAhBPsmY21K62R80Y qmZ0Q8YidRp8jtUS4nOZo5wfLwP/1oW4Y9a52ChxLuawFbVzDfn9E7iQ46HN S1BwAMUbgSF748w/WH1P/vljMantx2R7vCmgykc0fI0VFRAPeYv/NV3oX7J0 qfOKx5ghU1Fut1FJgaLGskZpOS6FO79/A+5189yhAvtety0ex1WjUXEVHEMc 9JHJmwgPyUViKXt27cqtpv/R7avgi4iDG8MzOzNGyMRlhAMVXTxypUvuQUfs QtMDQmXZMsHykIig6fHkkzJNRknsaooeoMXl83FWzMGt1tmYQ0h0sqD7ti0a g1raTA/S9sie5rqzKOKzfFQ7SHCuHrWSdNvcXrVAFzusQ2V7RtevuIYt6inC VhwOy7NOEV0pemgylaLNe9IUu0dOnC5fMNkntvmAq2uNb1mB/yajngm0Zd5w 2C5MoPXTfxO7yGxD0da46H1YrYDB72yZwETSgZ+8eeWKtd/qgLhyPk6R0/tO ILQKkRlH2IVdR9Jq+aiOaNCxjXAhm+0OVS5epjGoNHHecwUfv1Ahn67AHEJx AUx7rSvkkm4B/uM6qVqMFEbL8X2brTNR+1iURO1YCwIKRUAmGhEQpQJZwK0e 35XrZi8d1pqVwRwi4MTW74tpHauyKJ/cthKUBdYusSCtK9GxW6VmUnoJKmdc XpZPUFkqVwG+qY0SLpjPU2neLhvWWoT/2ZzBwu8AeePMQfAiUYQAw/Ee2BCO JXvrxP4tLD/I8mxqIhdWAAp3aw/m9GltAZw5ts+e/et3kLd4MaCidyH6mBox rmZRjNG7YmR72HJOCHHtWr0BFovEmrBIy4QMN81y0mU6W1xN58exNm5dvRQP C5Er2sdF7bEOb11pnTq4g4kKPbGFJCOKmsEU3Dz3TyYqySZEpqy1k3rbqI2N fQ4gKpZqJ7etKGb3+JbtLszM0T+UsSe1/cgmY4Hr8MEvHEkGBILKJANd6aVq ypTOzyUKoS1hnIDSKCU9vXM1pnRY+8oOpQkG1Jjlqbxmci9UshVrw/qw1R25 chpLIPhUwEPcsf2opmNdij+lCyk7ORamdsI+WZn3qKf2noiZMhOItO6NhCuB Ul6eAGlNq811EawZ3aujBoDOM+Pr5EmdempZf/xhXbtmcZF5J99Juh1Vq8pF eLKrJYMUgMFsJZCriZmM8t1Ht622Yvb/LU6QsoFKxKwl5UOImcdEJyfMomnB Cmrl6I6QkyjcT4htQ+ZdLchJMbPb1/aCAQ0EZChmMioITybC6ykI95frv9Yp mlGa31qn/RHnPRRYg+gex2cHFCefsRwb8aA7z/SOVZj+C3//gek/rx/rWgt0 R3Xzv6b0YXcUlthfU/pakatnMO8f372R50Ls0UhGE2ksl7Pyq5GvSsfwPnvL cmQ76ec5vWryqLfMHRooA4SHo3HvivZcDFIMr18iMeHaZRnBegBxFH32g3X2 +EGOzkEAw4BH5eFlI9paxz95G8Eva9VnFcXABp/ZPb/+0O71dQUx4Lsy9p+1 i9uD6n5gT+7wDVuZmJdcO71+cUT0Mk+ix4XjBJAsJy3KwhehXq5bTiSCg4tI 8YwuX7L4AInAWXP71LU3zPhNRIzvxiSKmNCdSUTuP35HFVI2Y+XBG1MsFJuD UYcpezp6j3X+dDRvg4HuWqVpsmWLz10aPNiseIUVP1hjsBsuxnG6+huBkMyt pbU3/q3XUSa4NiHm5vblk5z35PTLxTr/8oWzzGOQOwdJYe5aHkYmxe8CxzJg WsHLx94xRFWHGRUWVo5hvwJrkw7yR39azP4sdK6oX/4np7rLrUR6zLmHoxx4 zrR4h72Mcc3L2/P61hUze1RnpYypDCsLZg+0IxGGlTj71mSVrZvWn9eTMGc2 zRps7VgygQlyfO9m6/C2lciP4jlz8WwMa81rl8+7zAJHfs7/oEGG8CQnqDfz DNIj0kEIIxSe07KwkfyOOxITn30WNfM5YCON86KoXokKYnI7Xt2iSQ32oboi ee0iEln329M6s8HK6xijm5RhYTK22TtiSIOP7R5VKorPS/TD3LeKPrVcdPru ZzGtX19WIJtm/4kJaO2JmM2CBEoEXHkx/qQcg3NoKSqI6ADShAlaehCy7LB2 nwguoWhZZXE7fcHwYFTItDnZ5tFHvfP6NRQqNE0/c6mS48XYbMaJJjQugf0E ERN/hcXmPbBpMc6Y8R78exkTDSEjj2LsfftkuZo8edigcAlis/x5rmrrXgJy l0lhHTsMDdWZf2YkXNWh4v8ROaWrbCBTjmiOjXEYceHC3hvXr3ln9aqDCuNc NWncT+95V4/vzqfnHNm+GiNKGsCcN0/WoiQyOJZSGddqEfZiN+v6pQTZ372K N7l8s/a5IiM1wZBtSNYGr74GOhC3eYqi617NIcLJO4czpZMkSYyJ2h/Hit2e 54VA0ij2Xqhzye7VWIZq0FEUrHrJ8xV0jA1+ol6ou3n9WmZhrlpVrc7KtKeI CAvnlAgivob52Wf5qAfvmQNnCIoccuojx4au+03GgW0lzziRu4586QgYIlnU PH13r5oeKMzyaEVsSXXdZeAZJVuQruZkaWZDjgVnJahsEiH0hpHHHrPI2OJ2 8+kmkIGPJRM03bt3DoPPjkWuY1wjLfNmwlWV5ZxxwHfssNUarEsdDsQJa5Mm CWwoddg3e3ZbFC0qrNmzLZffOiQSY2TCvGWNH+8cHJXPfAeCWYskGflRgUWs JzHmybrNihHcqe5hn0G/fma8klcQOOR2+rTwnYiJ1Ad9ilovrr1ny7NCPL6D 4LDOGROjQ6HRu9ay847M7cxC/P77ruzq3tGjso67koUMMXnQHMQmE9u3cxh1 yuVoJVc7EKvgwNtvy+dYoZTroU63LJ0S+a/MQl6qlNKPbpyhwSEa0rwO5Cig ip2gxOP+xdNwEoKOf2KPi5IvD5nvnD6t/Q8mIl3ZFd9DqGOb45I/WzjbH0tm nmvcGrdCtjpzppE97mFPGDs7UCLZQWcShQRsS4C4m0d0iwgagvODgixrzhw9 DqSkTmpbkTmfvMLAx5HNpAjuqPCBTCIuXNgZAyLIwKWqDeUIP8SjUTEDuJa7 Ee3HfOOTRUPQKyJzMlqqV2EQW4b8WTupJ24HBH6IBl+IatVYl2ADFdFeg/3U UzIvS22o0eYcb/rHV0hMUyg3wLYsrN7pfWQ9e5pgXz4Xy2uCUFHXr10OCGyP ZW3fLk7c8ZD90/2j0Y8GF3ksKKauQlymOyA2bJA1V5D1Kcs/cJPOwgsccxiv wcF411nrotcW/s47Y8TetbNTAVc+CsWBqjZ23HcnK2rUKD5CRNcaceliI8nU I0n9WGMBy0SIGp9eskNd1/Vw33rL5tqGarhGbpg8jwJs2YEr3NkFTaaSRR7l QoBc9TY7OrBhkc4GTXO4blI/u7nWB6aQHEJ2sxYIX8nUC0l2uFIryCgIqSkO wemMUY8rUXz95glUt3KyPaQrDcNCltf0HyeSX229Z4r6TDpOLFLF7N8CdKVj nNifrcepa3qmUM7DV25CDjIUm32cgcDMa/ztRXEc9RV9VqE+50qWJlPM+ZQG F24uYrhIslqxwlQoSJWjkbiKOZ3mTRvwFMpopEwTThDhjUnwDThDHBsB5L47 v0PPeAsuxgqb5Ny5JENR7yDZ8Q4uyKtTnkMUtMibwnFeO5dNVtvjM0yVFEpe pHKwsW8wRA/D4tVLZjJPm65/mYMAx8nMbF6yMgaxJ2IWz6A1E7sHOogUKlBk eBDICYf+xAGs0P10PaOfbd8ut+LBKty5UwN/Yu8mGeKaNzQ9wJvzXy2lJlcB IrVzpaUWvIOrKGrItYpBEU2Hh57xod/ntSGJUwpA7dbGHtnFI5jVo0Y6RsDn POfIkcMcQXLVGFKrXmRZsJlwHz6kUf8M165dEs1Q4XLzbtLByM0r8pAQWaHW GMzhnTyYv8J6pzaYUur1C9Ih5L9ypgYw1B0cbNTMMFQHPtXniSg/7nn9bMIE 37JXfLwG8PieDRyhXTWmU2oApqrNcaq0Tlp1gMGuc8m8OLwXEtAEBoDiYDS5 c0IDc3BjOC9hnD99LEBgZGERHQ4wMIMiVHj94YcRpDWACfbJPYhomTeEUsHE T1IZI3YOA+L0kcjMAvXSS35Avfmm3Kf/66+O4yfPScvu22kAf1edvHF0m4wP zOtbB55IplEkofEzs3DKM8womFm+KskKKrU5GRtYlHORcOWCk5a0d01q9lWq AMER01ud/VdjeduJRBF/87IGBJc2IAoVEksGyO3PC39rDNQECgiGixbRowEI EIZ6s/IAOv5GHuQWwktNyAZa2eRj3gmILEwRoD2fMgCo1CV9bIckLxtkw+lm awa2EgLWb0iIdXHLuoCOKksJALkNFLdk+MHgCWnGnD8VBdQ72XAnaleTzdSp 48oaSPxSdqG7sc0Rj/btcyCSu1juRGyBrX7eMURMgb3UBzcttrxHj8g6cm63 rEOQDr/RP63bhMkvBobkOJ2XyY1I4ZKNSx2eOrQDf2FF01l62TB9AHJ2gjSC UQ8En3/4IRrjs/TSnWwNqLS7dvmyGZlT2YRyqthaa+XgEO+pQ9ux5sbHTQMq LAsCShjW5CthX4oT54mLk4euoamIiMwwt47GnT/vwJmQIBeBYB2jNIrtMzcR sYiL3stw3Ui44n86kJsTTFaN7YQlc38aIc9T2lJZAeuFCw6sCxbIhlEZyM8F zc2bZ5FhuG5KX47LcbIEycVL8af4PeQ6hrX7xF43tS+i03qXjF88BIaEFjQL FzqckEn4L13KodkM6eS+xvmbBxVP8EWm2MUzJzjrlRQxJ1wSB/N7Ksqrk6Sx ZjOtYxU210AeZBKbuq1PH4kp1PDJ3DD0TI+L88MVsjz0qaCyMAx/Kx0yqSGQ F3P2xEGBRF5NBpBnVOPScp0pG+QCg79l3jBe4UMWxbHI9fwpXY6zCutbU2b9 +swMR6vPY8eM29jKqgNq/E0uRRXiehEfc0hE7/qLU9gvnOY1O7Fj6UR7asfP cUCyjyrZMXH5840zf5dFMlq9h/V/2J+cMELEVac5KWjat9eLBVkxphMn/G5X qyZvz+WkfNutxkSSBbUtGM9Yn8FYNs/5U5yJ5vM0eO/fmKZv6KPLdiydoEg0 XCmYUB42ho8kgqPbVzsciFB+kpq10giF1Su3DhXPatrJGl24HR3NEWUXm55c 5ALZZNhpRuzEMEIV0FCxso4wLHafcUoKfE48lxuPiuq8UZIVfHvX8jBHc0Be z+9fnxfnsYqB57A6IH8U1zpbKVBGHdRt1SpzIxcCBiHWKA4ccMx+1CTE6yjZ cv36Cb59j5QiJNpADZRruXmd12S4xMfu1TNYrGyaPQiBTxubLKJ2rOHn+9cv YPGuMlP0oUNAFh7vXjXdh5icEEx8+9DmJchasOf3q28vH/Ez8zlSxmL2sZmG XaXYvqHLtpC/K8OIsDRjYjLDCsF81oNlbdrkVJRBEWQ4ZdiaQT65bI7ZAIkP kKvnYg5j+ZlPRbxy4YxEDCGJZgDAZn2MxfaVozvQOxvVEJfyXh7kbBmIQakN 22dU6BR6lGpQ6FSTJSdnFSA3GOkdNIn4OfZvAlEo4ArxiEQjcBBNoJLmMPUO pVatMoMs7CcCslavdm4XKSIZSi5jyB3DnBbMIg8Iu3QmhkECwggsBvvS2ZMQ 2Zx5QnIBG1A4cYzEIz/HxsVFf/yAxAnmiyntK3PVCmxPxXO1BUBnGWAvAm4f 3BRuInHpUD75DXa1QuLdbEwiXwatatxD92Em09+sOLANDXmWSDPEc+J9HolK 51bJv0ZhBJ0CKiNtr2YMw2rtS6oMiJ8dO3xHRWrNGBfnGs33HmXlDodNXQwV cEuj4IRIpP4DepJZ/Px8bBQzJaYgGHPtpF9Z6OxfN1/i+uA2ZIkyRpDYB+xg BmPzGWPv7+Umrmmy8+0jW1eYtxcP5vJm2rmVt++0wwdysXSWcOBfpJ8iWxGd IaFt60IZmyfhSiQi8Ej5gZ+J0JIE0T4SgGlUgQtXNT1ZUTAdCEL6ZeZRv3+/ /0ntKOAM4lau3E7RHKbstYvxzNH4B61A2HfKBF06J7AJC7ATNwaBw0n3kcDQ tFDDzMYCAlyHTCwspzInHt7Jep4UQxBwRCoSmbWb5wz2wyJ2xIKdtRBZNpzP 74C9Z9IkfGDTdN92m7epYZwznp3JpWcLLC48j4vaA33NsNM9VxAIRmTTY4Cu BB+e2LuJ+RJYwuwheeBqrJG7cqVELIoTJCQESjZZ3AtxU5NsNh8ZgfthYbI0 qgwOkRLxTZrr1whwAo0ARzFQAIp/Vy/wyX5MR5LYTMcDGxa5JCFDtBXN9huo gglFRloQsEG9axwAR4TPIBCTQJvVvTpLbeh/PEZ0l0w6ieUQTpCTaz19M0tG D4nNJur2GvM2HGncBoRa/ej+tZyEJAClAS4BHgQy05hh1ynmVYn6w0ByiZLs WL2RKCNLQdMcZqFJ924mdeSGQhSMzizd163zp7sWBuvX65ryUEKatqcObg8C Z9J8RB6Y4lWXHgekPkQP/p0+whs/mdyoPQNeJ1vFJVHi4dU5W2mOOb1qyrma jecqsiKwKozHiMpivioC6+mKbVaSFn/5kei3Rs4sN25DHnBjuzeYt2E76j7M 2/3qOyxmTG4oUlsqVvqLYJQguyF9+AGK1PHo3MzKbrbU8AA7g4N89A7hKYHW 8RCGKuY6AREEHLtCmexXzp3mx8jtBgsk3pBnko3xEQuloaQIqF49LTbg4I2j EjXxIyL8ia/9y+hoSXw3W48qAdEpJjC3Dxc2Zq410IZ9dAo//rdrpeO2Pg2S N0MQuWG54PHpo5GEU0K2WyFb+wHkzPojG+kceAC/jpHtVopDI5rkEaL8uxWa 3VwrBw8ItfQXIXkDD9o5TkSW4kEsZv9+3OE4Y1qhKGeCYXuoMkUcHKMyLej1 ySdoT+OYoGGZIQcIcefWe4Ixe1wsGd2s8tzsHODB5fhYOe3c4CZuJVLzk2xT yuaQWzhJJTTKo5s8vp1aqLJExmiA8kTuNUWun2+4o0ffshD8ln6G7aG6MNnV q4H2Kve2IANI96qzCuVZF0l7NWXn6NGB9opzmJTsNEozyZiVLLimjwtI2rss OymDo4H2LuuUIJDpyz7DJcOu8mwBut4xIUPMRkMmw70vB9i7LEmA3vx7R54r 7mM7F10VNDWQtoHxVqyYmV41TRcsMHv1cd2CBWavMkqrJ++BA4H2KvP2cKSf r1cUmoPbjJzVU6f8ewVEenmgT5/M9jp5sq/XAwckFsuVc7iqgklfuRlH1jiS wdQXA+xdnfAu+vXz9b5/v7yHAwaS6x0LdrIChC6TFVjvcm0SrYwfr3v3Jfl0 7Oj0/p5+prkL5doD7xWFEuWCta9XnRCBozT9e/VRA/7qlSuB9or6DOhhwABf rwj+IzpgZEw7veJvlASX6WqB9oo1cURmPvjAzL6VS9R4H73HxibXu4YYxRUD 7R1rmHKx3hVktozyHQiBNGHD2/7AB5msnIa4JVb05Fbd59Po3TR2nNrkwsnd 8JPEfBwMroqaBlq6y4zRwridTqWvMwuYpkZfsoq1rCRh9qVXMzX/pjWulHpd sUK28umn/r3imBRp5vn3inQyFF1AIseVK4H2ingyeq1Uyb9XVPNGr2fP+veK ZziREc/mzw+0Vy3pWrf29arNKnjCKnnA6NW3APPll4H2iqVutFCvnq9Xad1A 4juzRfbqHJnnk8ky47VwIL1nl7nl2jQ/fVo+Vedbq+Ur+ZEsnueRBzj5sloD 7Ra5CDrfRyWIc0EJtLxhwy3dyrx3jLhatYC7NbK/GjRwOWvCmqfkiRb+veJ9 5OmhFsfly4EOFom+6BXRfW3L4e/8+Z0Ecf9uAQZSpQHWpEkBdRvq6wZHJeFC Kpus+CRf/sTXnawOKkNpGeyOFz2d0xBxDR4sIZd5vaobY+coTBwkw8ksrGcC 6A4GudzQaFkwILT5uYyrltmfatLKOn+6hnigPenlKJ1MJ7NkzZ5koTtd2izV nkqqtlPJgOb3a5Pr9NxzzwWRWVaOfNdCZBPixEDdGq6cGkB5KII82hj/49CS pACiEqreJ2JZaQKYXM5ysN/5hQfIUqlfv77K4QoWZ86cIcfkWPIQ6gSJvn1N J9UfQnPlb8uWdEBopoTqxMy5c+eScu2nGUBl+2bTcBDSuX0UbJfWd/Jw1Kmj 9fRTTiOppAybQemwsDC7WbNmOGYvuUOonAwb7ICEWClWTJ7hgaORbwUF+zxk 8dT+/TOIEh50kN2yZctU4bhxw8mN5zRjeTzOrXAgTw1H2KWDu5OBg+5tIUWX J48sTpZcmij/HJB22yZjykzgYNKXo4lmdRjQBeSwPfTQQ8memRaSzL3kqsdl 9b3gNIfll2GrhxUfH8/z7bXXXmMJQLz13zKs9ObaJgd6nkzcu/v/6NvbCZas HkcqZE5Ocf5D0tvr20BIyvp7IH4otcc3r2bt7xw7J/3SrVs3OyQkhI9IPqtc O7mLRK5MBUFvcKX3e8lCeIxPr42IiJDrEiHkiczALX509913s5J54okn1NEa dvPmzdnSIp3EZ916vV4JxdNGFyRW6R1AgX0/Kudbaj7oLTy777779GkdM0kp o8mRI0fi/GHyWDak2OR92FXiVJJy7qm/ZDcYNE49/x4nFinl+6/AmsLnL7/8 sv00TqtJuympnB8UW7dutdu0aWOXIcsof/785O7ez03j3Fscq/ktGbbjx4/H lhvdLJ/A/Bv5DYRr7PDC1huYrWLbtm2wOpikpKjRJmwy10NpgA0NCKyePHlS nrGWO6Nd8GiJS4KYfWVPHo/Hzps3r7JT3fidPM9gPHPJ9/Lg/GjbuMjxXYj9 OWR33cncVJScXuoOkHF7aBf0orZwBrrO+/yJHGc8+kSatzrGOWXKFL5NuBQJ CQlqyz9zM6Yf/hmApgxnTg0ns+XVq1ftxo0bk1OZjz/HDKhSpQpT6caNG+RZ PyU/8zAxFWbwqr4NhBqPTKSpR4o82ciBWmpXrFiRW8iZMyd7KdWrV4cTAFik OZdNd+AMK9keQpzRJgtXiEaEQw6FCfk4N39tEIyRQRPQ/uKLL+yHH36Y+QH/ FylSRAwYMIAM2psGjOLIkSN206ZN7WeeecaRFsBdvXr18KxSynNF7xGPi4sD ifkZGZpi0KBB4tSpU7oDcpJwTLT9wAMP8CvUgXbdyDMbqLAvJk6cyOwNniL2 1dgnspGpfZ3bSmPC8LHKmDDTpk2TEyYUHfDruJ2kB973foevC8Oz89iffvqp 8110dLRmXTh06jaGrPeu4urfvz/fzk7OC3oif4d7W7FiBWxV3RtPX3Xp43Ls F198kb+l+QU+1iFqYl8HCLLi8wYKm92wYUPNg6JPnz4MG9hgzJgxcKoVbMH2 V1j78bGR/dlnn6m5FiwOG/ufccln+C4XnvmxX1/ya7X6IGee+wIuSDYwG0I/ mAd4UVsOfKofTYiqVas6gz1+/Lj5FfCgv4rGAXL6KxlbAT70xFMSSD7OIYYN G8byCo2SssWeXP4EnNygQQP7gw8+AMwKhTzDQ0NDwcUQJbxJdNy4cdwEuJmU hevjlOeJuW4JDwZCG8+LFy8OTRei5klUVBSmDwOFvba4iDX51VKlSplDgwrW Q6tRowZuPZzG3EDHgJem+gMKtUbjBsYd/Y5/1Lhmxrp16zqEMIQ5dpDpt0lk 6EZ27dqlNQMUkX4bpoluhDBobq8hieEIwsqVK4t58+aZQ4Z4Bx3wyueffw5w 8gYEGTgHEhS3yTDQb4MlUngb7Stsp4AM/TbUsMFXmvB79+61X3rpJfCNM7Wo haB0tJhs/7KIOsanmQDCWpshiAcoRQkNnKQ1/gzWC83RIB/PQDMYPOPGBlZu gdR+OnmbpQeekRYRMXJvhOZtUzpv3MgZxqwM8XrNmjVNQkNXJxlWWrwNvBYs WBBmieZto3ETAWjcoLJGPvYbJ8NBGNStPMESQkvrK1eu6LfBoSnw9tixY/kR zLJJkyZJ4vswM2vWLH5M/M0znwxOvRH9vkAg9Lv93Xff6bfPnTuX0ttoPwmP J+lSj14zKgQiqXZTuP3555+8B13zOPeRZotJ+2eekVonm8nYrMWUpQkd7sND iIiNjRWdO3NyPl9kBEKlqx2+9tdff61hTpuZPWLnzp0OnF27dnWqtqjZQ5YS W8S44BvgVZouHh/cbhPuVMyWYHhLkHb2k08+yRi9ePGiS9WRMttOiq5M8zBZ JHyrnMxySEZm+nhY1nH45ptv+DahmfUkmZTsOkr7PBR8xp+SVub3SctB3/PT zHOxb6CpyfX0czEMdtx+DZUAfIVmMtRIKowb4se4MK3xOZl5EqPZ/TxbNV2w YsAuAF6Fs5E2p9qtW7d2ADtx4oRsPZv9yy+/wO/hlocMGeLMGiIp0BeUEU5V kRGG8Nq1a7CLpO2WE4sL9GD16tV6GE4phGQ6lYyibW6gTX+kaZIxDoZbg1vf yiWmZN72cXAeVhHKAdFcCXUBZcQjo1FptwvBc34Or6gtjhJXrcsBB5sD5qse r1RL696gqSsFPk6DvVN5O/3srZFDKvnfz97k8fDnZMWbm+jJtefAEHG/5jWw q8ZOxbS5G2F+3IfAFb4CGbCymjRpwvQsUaIE4gnwaAJhaBJk0NsuwxLSw6Vp 5PP/EfDAG3K7rzz5KAUwXFnH4sqU5AhP2iz+999/822EVZSPD/a127dvz/DC EdVz8rQ6M5GMbDiAPhaXzp4e723L4prWao3LoE3WMbk/J2mqYh1aj97cqogV PqhIrogkPwf5GjVqBKMzPbJcB4vg/AjnQDQmJQr5wNslBRIAl7NSISNCi21y jOnBKZVR6RtIsJaEZn9ZyM4ADbeqyZyVVNnZjUQAvv3hhx8qGyNELF++HDA5 0llpcBUiZNsTIYdDhw65PL6xBptjvS3ZmW7fddddfBtRxH+7xEYUG5+T5PZA frlkgBH+Nf6Rr6rdk8WLF7My0R4Z7MZWrVrx4gFdqUQHNajaE1NCTG5tl/7C 5s2b0+PqmaxcunRprAC7dK1GNJF+Yzh509F+++23+RZCU8m/bTAmTGa+1adP H238QtexO4hgKoKn2lAWTkjRbZctW5aDhPjr3kDg/Lfyn9a177zzTpbxn3xb 1nhIIVrBxbIU35ujR0TwDumxqeCAEzZ7/vnnxbp16zigSFfltFlQR0Nq1aqF +6piLqxkXtFo4GS/SbaErZgOtnxMtW40Y+ICraTBmfG6IJaHA+L6bfJzdSPk UfMtFAwkna3fRkDc4EyzQAU5kHq8iOT5IApBVBN+hxMz9XvsFp06deKZkBJ/ pg3tv5E/GTrcRnDJCc1K1Quxjxhmjx49Amk7JOnbGKnvsWRfjFjzRENfdTnR pUsXbpG0kjlcHbl3JKmHl+bQr98SkZsXI0rJMrDpMRJUgFgHtHOp23oBIVeu XIjy6By06OhoB2rlybhSY+WkzagRoRlNQGomuZBlx44d9fgRGtG3e/bs6Ww1 vnbN8bpJg+i3oWBSYGUdFgPJE2UxMk0xvdiCf4j1qGiZ7gseGk0CjMGnczIK sDHJTG5OcjswbkYARbubYWFhJjcPGjRI6+Y02q5Zs2ZK3GyEjHmN33ksQ8cY sX7cU5baZW5GBEJZadoz1jBAw2kH2ockOA9866ysUay5GotcGeBqHWwm/vBx 9Z1izZo1jlWMsBIW24F+PXCQeOvWrWmwdY70tiNjcrlY/yAmh0cQ7K+//roN JKrULQ7n65AOQrY0PZwqtvo5jAA4Wr/++itixKyssCj72GOPOZYnlpDU5WRM Qmto3VemTBnNdIjpa6YzNKVa8kOQEj3IpJg8gQyAyQ9tQ/pfwhdiWvz8GR6X L19eLxYmeayM6rR4X4pTrJ8DMvJMMFn5HlIutItAujQF5leBU+ZwTVPVgSJC 7kDGbwK4cuVKtpALFiwI+5JpB/mvI5yI4pM00yYyYhwwcukxcxZexwSDRU9z IG0TGWVPnXEQSXOrhuGkQ+2h4DPMc5LKjCDEgwlpaqWGNYiOWXiMmAXiAIhH mCslsE/zyBqVOfwB8pswuNLoHa+oCYNSrbBu7ccffxxZEYwBuJDIQICAAHbw OWzLDWo3gxx7KNOE2Be2N2MMNH300Uf9XLRbJ0qI48Jo9QZOMsQVWOCRRx5h lI4fP96UjUgQ0V8p9SInzr2BDITZf+fOnbzGgyR2mr0QkH4WZTLPM6Y3PIol sDoEzgeAIAa8NcSehg4dCtGR+pxBUWNOx4bFSkMy5kzOjA7dNO2PHj3KazNY gkMiCsj4yiuvsGZBENAhi1xCgXL++OOP2ZQB6vFJhQoVRHh4eDrmCtaw8JXy sPKrVzX7INPCrX4+/fTTbDjv2rUrI5PA3MBsWCbvZ4hguZN/u0NaA5T8osPn NCIIBNwyU+qhu9Rnup85c+ZwHosfvmWMc9q0aUjMuy1RIP0yj4eXzrVH5zd1 MJEbNWrE77388ssI5ZiowKJfMv3VqVPH/uGHH0yJoBoTquStGzggDEVERLCk lH/Jn5CoWt4YAsWJoBKa3v43Ykiz+pIlS3jKqZBQy1t5R4t9GeO5i78wLgYa 9iQmDHLz+vXrx8pOIZpjfYigkFeYbDzMLNKLpXNMW5Jh+nsG1M3JqG5HIMu/ 8DOY39ewQIjf4eTuJc9vSSIuJjbTTsLInfrbxA78NgKEPmzKpIeccJvF8OHD ObUEcgNKQms96JE333yTPSgl9XVwFjMREhKJhqTJTM40pthHxmwk/kUmRLK6 7V31ORmMkIhJxbe+bZo8uZP/RLPQsmXLmDBquVENerpBVrIQ7C+//JKFRySO i/A/WvmWUciv4PYicqOilgax7JIlS/LtJPaavp0M8Ek/URJipgIDjmPhwoVZ 4pH+SwG6Skmm+fHjx6Er3k9yG9KUjE8j1KRvJWEh81ESgHBNnDiRh0KETwEg JmnJW7/UeU5ksHiS3K5atWrSL/kIAVKcvXr1YjWsZ5OavdrQ45tvmZ+4OdQD TJPxoZN9HU++WLFirlu/ycarGKAE9LFSJXa7du24HQw5mU9wwaBGyAPxA9L8 HKIbM2aMMxj1Cf+uct1dd/w/qTAzEw==\ \>"]] }, Open ]], Cell[BoxData[ RowBox[{"\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"StepInputSizeC", "=", "0.16"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"StepInputSizeW", "=", "1.1"}], ";"}], "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"InitialConditionProfileC", "=", RowBox[{"StepInputSizeC", "*", RowBox[{"(", RowBox[{ RowBox[{"1", "/", "2"}], "+", RowBox[{ RowBox[{"1", "/", "2"}], "*", RowBox[{"Tanh", "[", RowBox[{"50", "*", RowBox[{"Sqrt", "[", RowBox[{"1", "/", "2"}], "]"}], "*", RowBox[{"(", RowBox[{"x", "-", "300"}], ")"}]}], "]"}]}], "-", RowBox[{"(", RowBox[{ RowBox[{"1", "/", "2"}], "+", RowBox[{ RowBox[{"1", "/", "2"}], "*", RowBox[{"Tanh", "[", RowBox[{"50", "*", RowBox[{"Sqrt", "[", RowBox[{"1", "/", "2"}], "]"}], "*", RowBox[{"(", RowBox[{"x", "-", "350"}], ")"}]}], "]"}]}]}], ")"}]}], ")"}]}]}], ";"}], "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"InitialConditionProfileW", "=", RowBox[{"StepInputSizeW", "*", RowBox[{"(", RowBox[{ RowBox[{"1", "/", "2"}], "+", RowBox[{ RowBox[{"1", "/", "2"}], "*", RowBox[{"Tanh", "[", RowBox[{"50", "*", RowBox[{"Sqrt", "[", RowBox[{"1", "/", "2"}], "]"}], "*", RowBox[{"(", RowBox[{"x", "-", "300"}], ")"}]}], "]"}]}], "-", RowBox[{"(", RowBox[{ RowBox[{"1", "/", "2"}], "+", RowBox[{ RowBox[{"1", "/", "2"}], "*", RowBox[{"Tanh", "[", RowBox[{"50", "*", RowBox[{"Sqrt", "[", RowBox[{"1", "/", "2"}], "]"}], "*", RowBox[{"(", RowBox[{"x", "-", "350"}], ")"}]}], "]"}]}]}], ")"}]}], ")"}]}]}], ";"}], "\[IndentingNewLine]"}]}]], "Input", CellChangeTimes->{{3.405075078890408*^9, 3.405075099571019*^9}, { 3.405075280201322*^9, 3.405075280380905*^9}, {3.405138720365396*^9, 3.405138769503144*^9}, {3.405138806641839*^9, 3.405138818255853*^9}, 3.406292546382388*^9, {3.406294019810198*^9, 3.406294023785833*^9}, { 3.406294113461681*^9, 3.406294113644303*^9}, 3.406294744834838*^9, { 3.406309701852827*^9, 3.406309749150885*^9}, {3.406311184568525*^9, 3.406311188911054*^9}, {3.406311252307856*^9, 3.40631125441624*^9}, { 3.406363015355595*^9, 3.406363017377098*^9}, {3.406363051455576*^9, 3.406363057639859*^9}, {3.406363107909952*^9, 3.406363112340424*^9}, { 3.406363152643937*^9, 3.406363158040533*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"CInitPlot", "=", RowBox[{"Plot", "[", RowBox[{"InitialConditionProfileC", ",", " ", RowBox[{"{", RowBox[{"x", ",", "0", ",", "1000"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "1000"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", " ", "\[IndentingNewLine]", RowBox[{"Filling", "\[Rule]", " ", "Bottom"}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"StyleForm", "[", RowBox[{"\"\\"", ",", "Large", ",", " ", "Brown"}], "]"}], ",", RowBox[{"StyleForm", "[", RowBox[{"\"\\"", ",", " ", "Large", ",", "Brown"}], "]"}]}], "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"WInitPlot", "=", RowBox[{"Plot", "[", RowBox[{"InitialConditionProfileW", ",", " ", RowBox[{"{", RowBox[{"x", ",", "0", ",", "1000"}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "1000"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", " ", "\[IndentingNewLine]", RowBox[{"Filling", "\[Rule]", " ", "Bottom"}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"StyleForm", "[", RowBox[{"\"\\"", ",", "Large", ",", " ", "Brown"}], "]"}], ",", RowBox[{"StyleForm", "[", RowBox[{"\"\\"", ",", " ", "Large", ",", "Brown"}], "]"}]}], "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{ RowBox[{"GraphicsArray", "[", RowBox[{"{", RowBox[{"CInitPlot", ",", " ", "WInitPlot"}], "}"}], "]"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", " ", RowBox[{"{", RowBox[{"900", ",", "350"}], "}"}]}]}], "]"}]}], "Input", CellChangeTimes->{{3.405138822275371*^9, 3.405138826903682*^9}, { 3.405139053394552*^9, 3.405139057448738*^9}, {3.405139100679759*^9, 3.405139118736527*^9}, {3.405139195063642*^9, 3.405139208101695*^9}, { 3.405139252027806*^9, 3.405139279406005*^9}, {3.406294555418806*^9, 3.406294562209322*^9}, 3.406303625962486*^9, {3.40630976995366*^9, 3.406309852709672*^9}}], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJxNlAs0m2cYxyPIoaxlvYxajWartMqU0tYlicYoDRt1HByNtghtNSSRNhVl a+KS1r261tBGDTvtZM5cTmhdJra5VaZdSwijOqOGVlBKme2s7/PlnJyc33mf 53n////3fDE/FeMXgcfhcHnr339/J2dX6O7MeTLu/4/P09aXMxI76jum5gj1 PotzQ2yoDqjMCfNBTL7P971k4I9Ywm2sUAUGIR7yHHy07M5AHHE0fuqU4iRi 1/rXWgpWOGI92QjOZISJ2PKVB8s57TRix7rtzS74aMQ/eIZ+8ksMC3HDBoNV Q3Es4u2ysoFKORvxTuEyu96ISxVskXqMxLdSGLa6uamRcYgNd3t/23qbhzjG 5fOY6NnzqN8tP3WvyJqPuPX9xDuE5IuIL8Ra3aE/iUdcvHVzHn5TApz31ZKJ YZeg/1n2QJUkEeb3EPE6fUmIZaz62NG8LxGLjRKV8bZfIbbpkdzyGAR+uXyb tCC6jDjaq/5eiLkQ8im3u7rYAdxBagujnxYhfmVySOOyVjLiqR26y39/D1xK m5va5JWC2JZPdomaAxb8VpLMv5aKePCbP3PPfJqGeGtcykpOH7Au+3Ao+7wY 8aOE46Yp5lcQ17zxv5PQDnysMPIjS+ZVxL/SlYsbDdIRL5gxO+9KgSmRilMk rwzEjAc3AgZmgQ/aC2ju2ZmIxx80pI85ZiHuV9Hn1yjApk67PV5JiIijTw5E n9wF+3VrR0+ZPYuDuDkYjzdvhn2TWVmalGnCflHtusVGnrBfwWcnvfnZFxCP 0LVduS5wf6PWrFot2Yx4Sy2vpq4X9l31wslVbQT3k6Tv3WDN8RCH+xcxOK4w /7loZGyvM8yX67t+rMsDPye+YOrz5RxqDMFyZXhdb6AsM6GlCPQObdldUEeG /rc3hN5LEk3EUcMtyohK0CfwZW/0m4b5hWcriow7II8XRxaYM8agb0yiqBM7 wXyjA5lHaryhf622QPn0Jvjt4lkLz3FB37DNB6xtGH0uIkJcHg3qq1+ey5ab Qv1PEzYU42kO0qNadGwLwTx/QWMZTqtYTXnHubyJyfuF4K9DS5+noQR9AV5v zWaqwd9e+c5JKwL4+0vqTjyI8Xe4qzpYzxH6fc44UFOEoDfFP5FAY2D8kTN7 WzH7kX6guJ9mDfUsRcPmfF2oNyjqLG3rA3+DhB/36WH8PUs/vt3tDx5VI+HD 9tUaOaVSU4NrIYV5HIev+05rwj4PvJAzpJh+vt4U07h4FOVDal6ZG8uFfDiM IFJQN8Yf7pCV9wroG7fHB27C5NG7rS3MwQbqF+RC9SAf9IzSdrVVHMPk8bOn fiEmj/050xkFRKjvbIx4orkG74NswSjIrBvyGMo4x3yG2RdKgrZK+js8v8Dj PruSSmCeip10LRnjv8xgIt06E86jaImzsaMwP7moJlA5Affr3K1qUsg41AVS SFbL/Jhzf5jOnl7MPE7pRTu34scoT05EysWVDMjTXQ+H126HfIZM3bpDXkMe UUuhs28w/2c7H/iOH7WE+o7YPQ/FXNCb6/SGFOYD/SfE5WWpmDx1yNcjPUyh Pr72kEPdEvhJL2my7WoDvwzfTlw3Js9prtI5XIF5HzbMr+25BfNC7Aet2Bj/ 8Q1ZzP40ON9/XVyX+ZxH3bre3nRP7aIKCM4XVMF5sAWztQXT/9yTkxT3GPRk i/YJlpQ8qkVvxX8sqiynP/4O+p+WjrwmzoCf/W/1x4iNHOpDut/q4k0CJVhy N2sSM/8fB3N+uA== "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[ PolygonBox[{{141, 120, 140, 98, 144, 115, 136, 73, 87, 18, 56, 17, 55, 16, 100, 82, 119, 96, 143, 113, 134, 67, 147, 121}}, VertexColors->None]]}, {}, {}}, {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[{1, 123, 102, 84, 70, 60, 52, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 124, 103, 85, 71, 61, 53, 128, 107, 90, 76, 66, 15, 125, 104, 86, 72, 62, 132, 111, 94, 80, 54, 129, 108, 91, 139, 118, 77, 137, 116, 145, 99, 141, 121, 147, 67, 134, 113, 143, 96, 119, 82, 100, 16, 55, 17, 56, 18, 87, 73, 136, 115, 144, 98, 140, 120, 146, 63, 133, 112, 95, 81, 57, 130, 109, 92, 78, 68, 19, 126, 105, 88, 74, 64, 58, 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, 127, 106, 89, 75, 65, 59, 131, 110, 93, 79, 69, 135, 114, 97, 83, 138, 117, 101, 142, 122, 148, 51}]}}}], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->{ FormBox[ TagBox[ StyleBox["\"x\"", Large, RGBColor[0.6, 0.4, 0.2]], StyleForm[#, Large, RGBColor[0.6, 0.4, 0.2]]& ], TraditionalForm], FormBox[ TagBox[ StyleBox["\"c(x,0)\"", Large, RGBColor[0.6, 0.4, 0.2]], StyleForm[#, Large, RGBColor[0.6, 0.4, 0.2]]& ], TraditionalForm]}, AxesOrigin->{0, 0}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 1000}, {0, 1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {192., -116.80842387373012`}, ImageScaled[{0.5, 0.5}], {360., 222.49223594996212`}], InsetBox[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJxN1A0w22ccB/AIdZS1Om2n7dWq2TT1NmvQoiIaozTstM7hNEYqtCUkpI2X sjURshIv1VP1suCws9XclBNv64ltSifTXhESq2rVy9RLvEtndjfP75+7XO5z z+/5/b+/5/9czMJjL0bgcTgcf/v73+/MoobmwVwm4/7/+A50zc9JSJQdU/L4 Bl8kuCPvUwfU5zF8kcmtPL9bRv7IkviOh8rAIORRL9WzTQ86csSFpNlweRiy W8uqjpx1BdmgeQx3ZIyJbLngyTqbeRXZSXr4sQs+Gvknr9BPf4tlIbfvNvpn nygO+XBz9Ui9jI0c6/JlbPTiDWT3ogwrgQ0PuevD1Ard9ETkm3HWFbQXScjl B4wL8HtTYH2oiUxg3IL9r3JHGiSp0L+fgNcbSkNuZrXEjRd8jSwySVUknfoG 2bZfUuapAs9vfkdcEdxGjvZu+SHEjA/z1pDurPWAe4jdDNpVAfLCEUet2zrp yLNH9Tf//hFcRV2a3estRD7FI7tELYGT/6xM593NQFY9eJN/7bNM5AMJQk3e EFiffS6UfUOE/CzlsqnQ7Fvkxg3/ipQn4EslkR9bMu8g/05TrO0xykJeOcbs ra0Du0bKw4ne2cj0tsKAkUXwGftkqkeuGHmyrT1rwikHeVhJW95yBZs6n/Rc kBCQo8NGosPM4b6UHe2vtmdxkCmkPpGJF9yf4OszPrzcm8hjtF1u8S7Qv0Nn Ua2WGCPvb+I2Sgfhfiqnnd3UJtCfWPdBIWuJi3zFv5TOcYP+rwVjE1Znob/M 0O0TfS7kDWwWp3SWQr7R/SeLpWSof1/I91mXaCNHvexURNRDnmQ/9p6L76Df 9PkV5twheP6ERC4VOUM/k9Pi840+UL/VVKwYuA/zPOXa8GPiIc9L249YBzF5 XAS6CQVUqH80H5MrM4V65ZpTdwjmfSV3VON0ytWuO87nTs20lkD+Hh1DrpYC 8ljJjs9Y60L+t3UehDOY/OeePgo2cIJ632sOFCEf8gj9U3WpdEx+sniwC/N+ s06XD1NtoJ4lbzcu0od6le7Pnxtg8tdra8WfqIP6kWkZvQ6zzjOYZR4qH0fz ER9rlibyYT4OPYgY1IfJi3O09tHA8ybt8YF7MfMNHuxmONhC/YqMr1bx4Pnj VPPuh5cw8/3qZViCmc8u7112MQHqezsiXmhvwf0czY5hvsK8z8DLvuZplVCv ZKfdTcfMV200lWUjhvX00sZAxRT006tt+EXezKHYkbY/rcYuwww9i0HMfk5V Ism9/Dk6H06EMFGTDefjYYDD73oC846auveFrMJ8UeuhixuY/4PjbX6TFyyh vifO4g9RPOTLd94gMnxh/1eimuoMzPnoke9FeppCfVKTo4N0Heah+/Xi+jDn Y7V7ecuiDOpD7FXWbMx8Se05zOFMWLe7J5KKX3MpD4qK3tx/e4ysDAguSm6A 9eATzK5OzH5BfQ3t+fewPlA1tkqYgzx27w0nCB3b6y3iDe51kmuwpDZnBrO/ ksIg5fy1Uz/v6tkSg9N0cpD/BX3z9IM= "], {{{}, {Hue[0.67, 0.6, 0.6], Opacity[0.2], EdgeForm[None], GraphicsGroupBox[PolygonBox[{{124, 105, 123, 130, 131, 128, 106}}, VertexColors->None]]}, {}, {}}, {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[{1, 108, 90, 76, 64, 55, 49, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 109, 91, 77, 65, 56, 50, 113, 95, 81, 69, 61, 15, 110, 92, 78, 66, 57, 117, 99, 85, 73, 51, 114, 96, 82, 122, 104, 70, 120, 102, 126, 88, 124, 106, 128, 131}], LineBox[{130, 123, 105, 127, 58, 118, 100, 86, 74, 52, 115, 97, 83, 71, 62, 16, 111, 93, 79, 67, 59, 53, 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, 112, 94, 80, 68, 60, 54, 116, 98, 84, 72, 63, 119, 101, 87, 75, 121, 103, 89, 125, 107, 129, 48}]}}}], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->True, AxesLabel->{ FormBox[ TagBox[ StyleBox["\"x\"", Large, RGBColor[0.6, 0.4, 0.2]], StyleForm[#, Large, RGBColor[0.6, 0.4, 0.2]]& ], TraditionalForm], FormBox[ TagBox[ StyleBox["\"w(x,0)\"", Large, RGBColor[0.6, 0.4, 0.2]], StyleForm[#, Large, RGBColor[0.6, 0.4, 0.2]]& ], TraditionalForm]}, AxesOrigin->{0, 0}, Method->{"AxesInFront" -> True}, PlotRange->{{0, 1000}, {0, 1}}, PlotRangeClipping->True, PlotRangePadding->{Automatic, Automatic}], {576., -116.80842387373012`}, ImageScaled[{0.5, 0.5}], {360., 222.49223594996212`}]}, {}}, ContentSelectable->True, ImageSize->{900, 350}, PlotRangePadding->{6, 5}]], "Output", CellChangeTimes->{3.406373294792718*^9}] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"CoeffD", "=", "16.0"}], ";"}]], "Input", CellChangeTimes->{3.406294705639785*^9, 3.406310081844622*^9, 3.406310922376631*^9}], Cell[BoxData[ RowBox[{"?", "NDSolve"}]], "Input", CellChangeTimes->{{3.406310928252515*^9, 3.406310939141824*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"NDSol", "=", RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ SubscriptBox["\[PartialD]", "t"], RowBox[{"c", "[", RowBox[{"t", ",", "x"}], "]"}]}], "\[Equal]", RowBox[{ RowBox[{"CoeffD", "*", RowBox[{ SubscriptBox["\[PartialD]", RowBox[{"x", ",", "x"}]], RowBox[{"c", "[", RowBox[{"t", ",", "x"}], "]"}]}]}], "+", RowBox[{"(", RowBox[{ RowBox[{"f", "[", RowBox[{ RowBox[{"c", "[", RowBox[{"t", ",", "x"}], "]"}], ",", RowBox[{"w", "[", RowBox[{"t", ",", "x"}], "]"}]}], "]"}], "/.", "ParamRules"}], ")"}]}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ SubscriptBox["\[PartialD]", "t"], RowBox[{"w", "[", RowBox[{"t", ",", "x"}], "]"}]}], "\[Equal]", RowBox[{"(", RowBox[{ RowBox[{"g", "[", RowBox[{ RowBox[{"c", "[", RowBox[{"t", ",", "x"}], "]"}], ",", RowBox[{"w", "[", RowBox[{"t", ",", "x"}], "]"}]}], "]"}], "/.", "ParamRules"}], ")"}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"c", "[", RowBox[{"0", ",", "x"}], "]"}], "\[Equal]", "InitialConditionProfileC"}], " ", RowBox[{"(*", " ", RowBox[{"initial", " ", "condition"}], " ", "*)"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"w", "[", RowBox[{"0", ",", "x"}], "]"}], "\[Equal]", "InitialConditionProfileW"}], " ", RowBox[{"(*", " ", RowBox[{"initial", " ", "condition"}], " ", "*)"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"c", "[", RowBox[{"t", ",", RowBox[{"xRange", "//", "Last"}]}], "]"}], "\[Equal]", RowBox[{"c", "[", RowBox[{"t", ",", "0"}], "]"}]}], " ", RowBox[{"(*", " ", RowBox[{"periodic", " ", "boundary", " ", "condition"}], " ", "*)"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"w", "[", RowBox[{"t", ",", RowBox[{"xRange", "//", "Last"}]}], "]"}], "\[Equal]", RowBox[{"w", "[", RowBox[{"t", ",", "0"}], "]"}]}]}], " ", RowBox[{"(*", " ", RowBox[{"periodic", " ", "boundary", " ", "condition"}], " ", "*)"}], "\[IndentingNewLine]", "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"c", ",", "w"}], "}"}], ",", "\[IndentingNewLine]", "tRange", ",", "xRange", ",", RowBox[{"Method", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", " ", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", " ", RowBox[{"\"\\"", "\[Rule]", "1000"}]}], "}"}]}]}], "}"}]}]}], " ", "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.40507523134622*^9, 3.405075255751947*^9}, 3.405075704849061*^9, {3.40513878566262*^9, 3.40513879283292*^9}, 3.405139288064379*^9, {3.405139328615452*^9, 3.405139330545434*^9}, { 3.405139418286599*^9, 3.405139445589445*^9}, {3.406294082840383*^9, 3.406294095295097*^9}, {3.406294748459499*^9, 3.406294750053563*^9}, 3.406303659172774*^9, {3.406309664933354*^9, 3.406309665196025*^9}, { 3.406309861677043*^9, 3.406309962997155*^9}, {3.406311059186269*^9, 3.406311062521312*^9}, 3.406311133365888*^9, {3.406363780490598*^9, 3.406363780739144*^9}, {3.406363937612808*^9, 3.406363937756654*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"NDSolve", "::", "\<\"mxsst\"\>"}], RowBox[{ ":", " "}], "\<\"Using maximum number of grid points \\!\\(1000\\) allowed \ by the MaxPoints or MinStepSize options for independent variable \\!\\(x\\). \ \\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", ButtonStyle->\\\"Link\\\", \ ButtonFrame->None, ButtonData:>\\\"paclet:ref/message/NDSolve/mxsst\\\", \ ButtonNote -> \\\"NDSolve::mxsst\\\"]\\)\"\>"}]], "Message", "MSG", CellChangeTimes->{3.406373299439991*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{"c", "[", RowBox[{"t", ",", "x"}], "]"}], "/.", RowBox[{"Flatten", "[", "NDSol", "]"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", RowBox[{"tRange", "//", "Last"}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"xRange", "//", "Last"}]}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", " ", RowBox[{"PlotPoints", "\[Rule]", " ", "100"}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"StyleForm", "[", RowBox[{"\"\