(* 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[ 351847, 6083] NotebookOptionsPosition[ 334869, 5771] NotebookOutlinePosition[ 351352, 6070] CellTagsIndexPosition[ 351309, 6067] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[TextData[{ "\nVolmer-Heyrovsky reaction with chemical desorption\n", Cell[BoxData[ FormBox[ SubscriptBox[ StyleBox["H", FontSlant->"Plain"], "2"], TraditionalForm]]], " evolution reaction (HER)" }], "Section", CellChangeTimes->{ 3.404105671464055*^9, {3.4041058687932377`*^9, 3.404105894346611*^9}, { 3.404213587340118*^9, 3.404213726194797*^9}, {3.4042141164993563`*^9, 3.4042141198459053`*^9}, 3.404263543202744*^9, {3.404428502542997*^9, 3.404428526361329*^9}, {3.404803514291835*^9, 3.4048036710571833`*^9}, { 3.4048037326798973`*^9, 3.40480375081988*^9}, {3.404803802948029*^9, 3.404803841092787*^9}, {3.404803900224763*^9, 3.404803903078836*^9}, { 3.404803944287771*^9, 3.404803994883864*^9}, {3.404804025477119*^9, 3.4048040428945847`*^9}, {3.4058481919806213`*^9, 3.405848194745288*^9}, { 3.40920423621765*^9, 3.4092042366118298`*^9}, {3.469428801317711*^9, 3.469428810916078*^9}, {3.473069488086007*^9, 3.47306949045933*^9}}, TextAlignment->Center], Cell["Reaction", "Subsection", CellChangeTimes->{{3.4059068143867598`*^9, 3.4059068412130404`*^9}, { 3.410151720218337*^9, 3.41015172165478*^9}}], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztncFtIzkQRQVMHD5sCgrCASywgM9z02nvDsEhOANl4AwcgSNwBI6g568/ zCUkqrvIZpPV1H/ADCRbarOLX0Wymv311+9///7963A4/IN/n/j33+NJCCGE uDPO5/PDwwMGwaenp8/PT/zk5eUFTx8fH7++vnq3Toj/OZ1OUCkfQ5x4+vHx 0bdJQlyDjPr6+ooH0Ofz87MSqXAIhnsM9O/v75gDIJf2bo4QaaBPCBWJFJPS 4/HYuzliQl/0boJHkEUx9COvYtxnak2+DPMBzGPxAk1ft0bV3SRQKZb5fIyk GlZVSWaULCxgzFpcAkio1yBosfY4DWCRKjyN1btGqJY+GhuEDgHkunUGCfUC RAzioRQpTjzAU/wwjO94+vb2FsRZLFRjH40NJp+sV1//itOqa+zz1a1ju/74 mGQer4DkqjTvQpnFQp3po/sBp4/OisesJGUZdeuFsOeFNtMga1ZhMYWPQIFW jX00MBiYkJQsI4uE2gt7Hw0MPqf8kGL1Oj/ebSpUtAEteY6oe3yCqePpGySo vj0O7dlXRvY+mlZE0jMcj/iYs6CZKl9Z7jK+K17SInVsIVT0IDo6nCB6vKNW 7eeY1UfTikh65nw+h87iyBJKgrUwComXy0OE7RKyCxV5Jk5HXLMb37sFaIAl 2rl9VBxJz+CjyiofYWllzQExol0sn3nMmORSgiVHvnhmXwfeu3h8tCH5XvQg D05wvvhJwTmydjoDd/0ZWRzKc/vIGMkdEY8phBsp6146sc9RATSGNqCj7bs7 7J+srKpaA7iJZV5IBX1UHEm3YFC4SD68Wl139DcKKe4O7keqe/zpauifvvO/ 8b3VwTlaiqIFfVQcSbckt6Cj38sGxFsYhRSvERBee709dzEVchGedkywUJpl d4qlj/AC/CRItziSDsHnlPMonGAoIIeKNCdOtfKqPaPiL3L2GKoxFY9PWLph 9ab6srEu9j6iUIN0iyN556jg3wZX0+894v9a/wD0ncYIYQRj/QBlKCGEEEII sR3yThF7Qd4pYhfIO0X4R94pYhfIO2UjdFGjLkbvFPyWe00h7MYtdIhDZ4nh jRSM3il4Ge+cKru3dKQwOnSWGP5WynnvFAxe0Cf36lOlnNDmCnWwMBpdC4qF WhCoBkYKHbtv0TuFAoM+qWQ8KBv6B/OjmHEtWG+BMhVtsWtgpLB+/cJF0AVV 1u8UKh9zcykEDHnnVllH8qPY2lliypdEGyMFzwttnHXIBiFX5N5SMZgfxdbO ElO+JNoYKWS1Cque0w991yZ2S4qsMCbxY1KR5VrQRqjNjBTsrUJ7wmGRmvre XmQ8x9wwJvFjUpHlWlA8Vma9sZmRgrFVbEN8H1z1W8VzsVhSWMLIXTGIw61l mh+TiurOEtMKc4myJhmNFIpbxR1N8fB3+PYyzQ3L9LO0r8V8Yl8MI06W676Z SawTk4o2zhJTTkZtaaRgbBWVaTxmGxYtKSxhjOecj99cH8eJSUUbZ4kpR6gt jRSyhv64vMOLnsa/Uh2LJYUljHgcjnPLtsiJSUUbZ4kpR6jGJqEXgkfEYXtL Ci7246cdF/4WS4qsnqWGw9BfJba1aOksMdkkkdUkBjOUGRtYUqB5XPsDz8Xz 3J7lNa/4J1Viu1O2KK0jwis/Sp4L/m2ggDlJiBf+62O7U7Yoa/Cay8oj1GrM HmEuRZ58/ebCElbfclUFjEF3LrP1sJoRCClUsRVCCCGEaAbrM8PclCFGhdf6 e7dCiAWG+c4vMTbczAaO0Xc6C+EK3vLJLZq8+7h3i4RIAGUeUi55F5uihegL 91TwJuULrW6x/1bsmo6WHZygcj8bd6rTJ4c1q5VCHcmKRPS9aZcVVH7REttw /Pku1JVCHeZmZEG8WXbUEuoW5yXZd8SbZUcY+sMm4TK2OC9dmOjFYJYdgY3O S0Ltxb4sO1pakSQxCtWPjckY7M6yo6UVSRKjUP3YmIyBxbIjfG3Nrb5ubNnR zIokiVGofmxMxmDRsoP37Ew/FnZJrRotO3ZnRTKtsHBxYmMyBhbLjpBweEU+ mcoaW3Y0syJJYp+jerAxGQOLZQd6MGQb/CoZ8JaWHS2tSJIYherExmQMsiw7 OPQHM3C8LPT7oaFlx9ZWJIsYhdoyJgOTa9mBmMeLDgo19Lsfy471ViSL2DOq k5jcD7xOhP/RrfGQuveSyy0rknlU8PcJ9MlvXEKygjJjJ4RdC3XGimQeFZp8 woJMIGRUKHbXJZdbViRCCCGEEEIIIYQQQgghhBA75Q+SAn0X "], {{0, 85}, {227, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], BaseStyle->"ImageGraphics", ImageSize->Automatic, ImageSizeRaw->{227, 85}, PlotRange->{{0, 227}, {0, 85}}]], "Input", TextAlignment->Center], Cell["Hypotheses", "Subsection", CellChangeTimes->{{3.4059068143867598`*^9, 3.4059068412130404`*^9}}], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnc1xHDkShWtj7eBhXaARMmBOOs9Np73ThDGBJ13lgTygBRNjgA57Hguw b/ttZyQzEyjUTzdJ6X0RUhSrUUAiASQSP4X61+///u33fy7L8gn//vOPZfnf dRNCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQoiz+eOPP/7++++ZkN++fXt5 edkaPx7Bg9vl2gMyguycGOGPHz+W1zw+Ps5nh48/PDxsShRJMK2npyfewQXv IMIy8J9//rkpiRkBQpzItcmzg62PW5a9Hu4Pkl4t7t2auUXZ/cqgID5//gyV fv/+ffIR30Lny/FIW5ipUWNg4p6fn/N95D3YZ+gBN+2pzxcm69uXL1/m1bhK ls2D7JxrtwGK1bSEpMe1AiG9Whh+a4ooWVQk60xxgQbe61sR/47OdEyOEzVt q2J9xd7xODT55m8/QeYZoz2ftVA9blF2H4Kgh1NAk4Ey0TYnvVBiLXS+HH3I 1YyEADM1aiwtTEG+j1x7M9UuRgMKoZuHFD99+sRg5eMmm+ULD3oTdIQsW7t4 LOHPcxtCSBF/Wv+VgXJ86vuMNp+ywsVF2beaPHcw2ltBcR80ue/BaJ9OqB6/ rNEOejiFfcrc10KN1Yycm1M4wNkUoK3BIsHG+k4HwRCY1/jVnhpoCZbTu6Nl WlvJsrHj4KyFJeelPYXS0/YDKxvn2syGmVyrEvgVUkF+/E/PGfeREVyUQy3c Z+fYLuXOHtNHYt03S8HkwU8Iz06TFwxWCoBrPJJdBcaJLNi0TMgjR1uI33oW P/7y00oIEKaJGC3iWXVRcmuC5MyFDfR68nCwjDvM41g/ZWnaTbtA+FBY/kGO RgmDIQv8k/UnVw9O/qxq0pLOubBsDvy3/FSuErksgmLZrCyhXBAh+1kbIWbT Q6iKOeZS/hB/mFT0Ohy3NWuhudx7TanX3nuVM+SUP2Xl92qyp5xPwyO4GSpn MNTltUFXHFnGU96QZu8UCSEYy8v8cGisZ96zbKXRRphzPTTGT01mA25h2H+F joxhONbgfVMFKxikLQdlNFl4kIXbruMdRoL/bfBiKTItE4NyWj0sBeBsUs9o Q7wwxAiRU4x2bSPtWqYQLDgwfhDKqR42ooHaS6MNkdiXMR4TLMhDXeF/1pBV /fRK027a2CcXloWxEoG22WSszlsLCtVjXpOWdJkLe7xHeIq2saxOHh8/n7KE ckGE7Ic/c8xZD6yKZRFn+XP8FiDrcNDWBuXeqyqt0957lTOPrQZteVCgpWWz TLGzsPsWv482XHtsCsVrJsuAMKw8nMJlXthH5zh7srU0PdI6/dFufDZpSUKL bmtGm09RcvZoOWSA3T17efa5dFC9VOatrcqzVQD89OlCuBny6O0V+zWuBLF1 l0bbPBaEGU/uZaPN6UHUEHo+qzY26GRcXjNGu5TTfmLe6aHRDfPVhrW0bML7 NNkTfiykPdWrTp6BHiAY2inyZQURsh/+7MWc/8wxl/Ln+C2SrMNBVV/VZ9m0 y5ul5GVON7XlUlTDcsrhWKnSGaPNZrWanJ/EMJ+5tyzbk61kbA+3sqQ5bUo+ LlnvooQyykJyxGExEw4YrUs6YrRXBcg/4RGk3vO0Q4reQBH7yeuBOZ2cKAtG mw4VzXXw5LM8tgrD2YMg0jgv5c0Zo80+hQ7244WB0Q6O94wmB7m4v9Ful/6X O8rK7Ic/ezGXA5AQcyl/jt8iyTq8g9FmilnyMqdnGW08ZS4umoZ3jL20nN0a q4KTFWg4tkWtlIGrirRUdLMZspxy6clWcjujbUa4udEKvWLr5Zl3b9g5h8xI ODM/IyT1Y90fDREjwf+96ZGggeU6HNskAH+CAH7Ge2DoaJQoDyLnrA4zHjo4 mxWxn/Bs6XIHo81lERv0sdqHjASTgkfgA9iof9wSy9Lc6mlbRlhS1IlXfqge M5rcarRLzzY/1atOnoEe7IK1lA6Vz374M8Tc00MZcyl/jt+bx6DD2xltn5FS 8jKnm9pyKBEzqtaQSWgvXj90/tvr3SNoiX4LMVsr1014xzs8PlqblaLkzGmo PGPZMiyjQYB5yn3avk+h40eXmPqkg0pbZ4+zCiEYM+iXMMYbPlnl7E8bdeaV Dp+WzfP7Dd49AbLBtJ+o6sWtoVjkrF2WYrvWPb+4wNRfrouki1skWtxCJIMF Gfw+bYPmHQo3l9uvQHl5fMHR+VnVT1ma/JU6t5yWNeTpCs0XlUCd+MGFrx4z mvRi++R6BYFSpn5KIf1T7FhDdSqrgcVv2qYwtjzHggjZz9rwlHrwS7E+5lJ+ rj9a/CESr8NBWytrxWpV8UrwGcmSlznlg4O2HOqDxxYo2TZtUx/9q8XZT8jg 8xv2advsqwX4fF0+9m1w3/bpVdkyeUZdvGdCp3wKfumcbs8pO04/BGjyp7+q IN4JpfdbsrrRerDlo73e5n0H/LhAvH9u8Z4F3Rjjl6oP8+84i4/I5+HbhZ7n C71f/czh1mfPhZNd90lLCCHuDEemk/0yLPOO1b2Xy3bf7aLtYVN2hBBCCCGE EIKrq+VurvcG55PHL1b/ZGA4aa8siRPh2HnRWYhimrzlb3n9/stWwk4JWy8b L/dTDL6UfXzGft+BsfPYxtSlOku2hEZv354fbi5ljvye9sFmNh6GELY8kbw9 bHAubsjCMrHRlBvAFvd26tJ5Q22GMiNhE5rB97jbmnLwa89Ccv8zHzxl2tOf xTFg+VWP1RK78c2KzWRfPLbN1e7YruaZA3/adffavtQ9kxZmH/Ze1bzR5j7Y ff2InQ/GFFlSZo7YLfrw3MtEtT++PtaMbDoX15hXKY8J8vLvG5KUGcH/fGPU 3sEkrDk0faVyzCcpDxBr14M1qIdyN/g+ZgyyjLbYSvCFjmwC772Za4cL+WPB /MsCdpjb+zHadgagYVaCjXrSFh18GYovMvDaPGTz32jZstj2bB43+Zde2+tz cQdZnlepjQhoABH5PouUM+LNuH9bgcWxuDf7snJYyXsHxdvxZXbnlEFfe/3u eVnzm4y22M6RAWwgGOryegCqcTYy4URHREWnaHACZ8/ChENTc8z+cM4eHH3z XIjVkS/fteRbzwe3/Xhnki9dMtdB2qD28qTBx+pc3DGTRtu/Um2HN64+VZIz YqfNh5cQoY0Xd2xdqZzyQcMrxAuQszY+Nvb59Vm1TZ62uA1jo12+cL1Ur6C2 A0abVd2fYVtK6Nvm0j+Bs7Qw5aGpS/9wzoGoNtAeBDP4vnN5f1KxL9cz3ywe 5rqc2vVTTDRfOenndC7uGM7JL8MXdQm7Rc4t9IZskxnPGaHYNkFkBRfO9zDl hA7aLrLdXoYf/vB68NUvnDI6c1ZtwKbfb/HRBPET83487R5L/6Cb8jyx0miX h6bmmE+fD/d+1xFoi5gFfomP0wLZNuIOJ97DEoORz8U9C3qhzR01fISQkXIQ YRPRVpR2TDrP5Qj6scOFPDOedls7fGl87KEQJ3Ijo+09pefqIxHznGK0y0NT 72C0/WntO/COOr2ydhGbd8qvnnE0YVNGZbThXNyzQIQ2oX18G1vISHAJOMoI 7nqoD9SPXxco/Yc8p43rwVdgmoy2eFPGRnv39Ei77o5ra7tHZiTsGe3yEMjS 8OZDU8uYdxjtwQYJGo1ySmFSsWZ4mVNe04K1i0NL2/JyPfLX+kc6qD2LEc7F 3Uq5o56ZXS3oyYyXGbHJjbyPdHFz6X6ZlQMK/z3B3myV3z2C8Hmqf2y0y7Nq ZbTFuYR92gfPvPKN0U7kntmnPaY80XFwAmc47dMTDk1dPZxzU8bLn146X5ee x46cpXhmVSzLdlIlZ1bthEx+OGkQczgXd5NIeUecbXLmnMaOaANlRvwnES1k +GRn3tnu7wzOEfJZyKpbPTa2pbNqfS09rhAhxFn0Dl+F7Qqn/v406HxUIcTH pdz7Z1/3+CkP+NL5qEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEII IYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEGMBvIr+1FK/gt5vfWooPSfjo 2/HvVqgsxMcC1fXh4YEfo+En//jFSfsa7Fnw44/3/y4M2nj50bRz4afZ8kcY vXoJru0rxls/OslPhe4W8unpafJT8hT78fFxkzXjRzZXP+K5mq6pC1Etrz/P zSTsT9RV/yvVC7H5rJfEvh8NJeACP+GCwdqushDiDUGNNbPG7+3ubnQD0CgO fgt4B2yqd/j+LEwH9Ia0ctv36m0Xv46f14RUCL+pF9tqRQ08xa/xzow4EIbd Cj/v663imKcLpRLmCepC6j7LzxdMzlCj+JFiy6N9FbpdNGDx2Be628XOt11l IcQbYl/Zhq0efNT7IGzRt4h5AG3pHRKCw9Yzp/7j6e2iZDM7kG3eJB5n0mj7 kqK/Ohn/QXNtkXh1QT9eZj8AzNpDESCP9ifHjBaYF+yJrB+3+3cuCyF2Y84J KvxN7Ru9RLp885482h1HyuxQlguQmX4j7vACknNKJ8SMB+dbIpSA8Bw1M54Z OTkxwhF9NllUL++zQwRmMSDb5NQNR0Dz9rNk0mhT57zGhTmrA+j09pQwj3eV WRu9C4FfvboQMhQQNGwqovNspW/xePfb358vCyHeFjonrO1bpy/MigZyPGga HJOiacz7Y2Y90DY5esUFG7Wfw7EhPCP3zRx/Ti5B0uzwWYgHbcyvT1Gq8ieq F7EhI1ktSGLGJLaLKugihvvzRdCmjbbBfE32euyO8/1NEnp15R4KSrCaU+oc cUKfSBHVA9dlNUPMpXMyXxZCvC2ciYVbYvawFxJNZvciO5rPeHGzjJxrYbZ+ RysNGxIsiRfbT1e2ZKbYMQXYhL1XRlXgfpYWMeQZcqTY84FpPdrVVW4XD9B+ Le1wCUQ6PhTaZLS55MeZihloKveK9n9sNIH85qS9nc+qM8egXUuwXMvodUPz ZSHE22JTiO1ikW40QmSLRmMxb3YGBM7tC/YfModh8qTR7sFRubXxTR5mu/Q4 PXuFLHB+mMOEdl35IpsMBXc4HFkjnjfanPOhpzrZU6PyHJ8ThrpsQjvk1BZw 7c+gOjoGtnBQZpZPlTqU0RYfAjonVrc5OKXt4jUdxb/++osuULC38yNfTmiz KXFq13Ze9SJvF6fajDx3JCIGhvT23CaNuWHMx4OnZmwO9WAP2nrW169fvRI4 450f782ce9+PhAEFrkMviQC9vS4sqZDQkemRXlr0sdnJArq+q5NFvR5hxxxa GX/e1BR8aT+hzRL0a76EE2hl/LkshHhv0CRy1oKVn9tibaGQxhAtEf/n6eJN 0CR6Y0vH5vuFQeT8ifOTbP5s7JSc18t1W29u17BLk1tWuJ2bIwJeczkyKKFs 1+XMuVcvY3u44MMgOT8JQIe/NyNBQ7qvCGjEiG047KUVzCzD8GYvfirqyL4j r648F82aE27ajh1bC7bxEcP7zpRlyjC4yOUVykKIj4j3nVDPw4sMB/Gj0YOR D0b9x/ffBiVASG9S8NNgFXJMuYccf95t49nWtHrdHxRyazeVS9j55lmJ3m0/ vxC3g0bVZi049jzxpRuuJ9IeHomc7tnSWXVqr1/H2EpWAqyE7wK4XWHfJrdS sNvtk89sSgsWsswmZ5Jtk+SNKNd/26UbPeWAgiOVRAhxOrBO7/Dskfu/avRB 4ezH4KfjZ4+oLIQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCHIfwG2yEb0 "], {{0, 70}, { 487, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], BaseStyle->"ImageGraphics", ImageSize->Automatic, ImageSizeRaw->{487, 70}, PlotRange->{{0, 487}, {0, 70}}]], "Input"], Cell["Steady-state", "Subsection", CellChangeTimes->{{3.4059068143867598`*^9, 3.4059068412130404`*^9}, { 3.405906886040587*^9, 3.40590688927745*^9}}], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztncuR4zoSRRUzdmgxLmg7+zLgrbR+u1rNdqJMkAnlQXkgD9qCtqAtaAs4 d3ijMtDgRwChD0WdE9EdFEUASSork4lf/uvv//z19z93u91/9e/f/9jt/n/c AQAAAAAAAAAAAAAAAAAAAAAAAAAAAABsnd+/f398fOx2u8Ph8Pn5qeOW2n79 +qWq9vv9tcR7BfTMv76+Hi0FAMDakbWUn4rj4/EYx8sq/PHjx+JFZBcbbfSn t6NWsPT60+mEwwIAuIicy/l89rHiIzsshV2Lnc5ih3Wx0RapbkqtYKu9EQCA NSMPtd/v9ZJvtyV342494zf/nz9/vr+/60r9/7vHH4W+cj268viNrfHhcHBP YxxncUQUeXt7Sxt19KGa/a1LjV6QSpXdl85YEv3vbxVIukJHlBZJN24BQjYd WGzfWtbKsFT2uKJTVN9evJH0erdeIqR+qXjUqw05AQCuThh2m01b6TRKkkXV eZ3pvs2pjKSMZ9fbdvsjnfdB15vTKOtxsW6i10vV2pW4tiw0U1mVsj3X/xel yipXnW7ajiO9JtyBavOB6rHL8B1JKjWtg9FWhqUyyf1RVamSizeSfiwUMp5b RMQAAK+ArXHXBwJvPd2fFlXW0nGKX/Lt1OQCZIT1MYKpGAhLy8po27q62gw7 SkUuQy/Z9Y5PdepbnbSQ81KlNdtp2qpLBtWfShjudVizqrKXUREVHG1lWGrK AYUwHhwcvZH0Y6GQrkrCxKMDAHgFUlcytMAym+4iS4vYVckdjFra1BrrGtnV CBbsfaIHTCdlzHXSljlt1K24v2tosUelSrGjSc8U+gIJFpd1392DWeUzDitC obRUOMHRG+nqHZa+kp9yOBaBLQDA5kmHlmJau+yhI5QYuLEhdf9h9JLZntsf hePLnIVsdXRhZcR5+69oNHre1IrnJ+jA42VxwVCqtGZ35cUAnGSw/fcAXBQc +gL3BLrO0XsfLZU+ru5PhxXHozeSXV8oZAyHxaMDAHgF7G5k9zyZITyLF2fZ VNq02je5r0zuSccOtezj7LM8OSHmWnTfHWJTTaezEbreX4QDdSuqTcUlnueE pBdkUmWVu4czm3Sx70nnM/gefWCZ3URMushamSoVjyvmVMQT8FPKbmR4fTzG i0J+9PjRxQxPAABYjKy0e/w80wAAAGCdOLJgSSwAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAy5Immizh6+vL2SqP x6MTdTlj49vb22haZNgMqArU0qID6A8Mcbr5qiLv7+9Odt99JxQeJiyG7YGq wAJadAD9gYzPz89QiUIiAb2UR2/dvO28CKgKLKBFB9AfyJAJkkpIH/T2olj7 4vWKzd0vpIBdRe4gIawEVAVqadEB9AeGSCVkhU6nkxRD7zMXr5fyqIjedmSy DofDHSSElYCqQC0tOoD+QIZHJaQMw1hbpmnUKOlVR+f18uOyM0Pwsmx6J5fW XVloeAS3UxVVKD3RBQxPbI8WHcDUQIZMjd5e/CYjnfFUHCP1GB1hlwpJPXys slODGq5ZdaqStFp4Um6nKqZq/iE8Cy06gKmBDI9KdL2qeBJO10fiOi8dGFoh a0Uolc1XKIk/WrV05fl8di80WrQBbqcqPoPD2h7zOvDx8SGXdOzxmfTi8rKv bGoUe/oh6Ak8WpZ7cDgcHIPLdHjKqH936cDwtVn2StfbzlgxbKmikq5XOT26 UDPVubE4XX8puimb7pfi1qqyPYf1sqpiLuqA1cb64yKhAwvKbs/UXESPQl5b D0EHLzvGN2OFSkjNjv5gpUKeV3ZtMR/Dqafrb/PRsjyeK6rK8OOzg6pcZKg2 5TqQld2eqSlBTirm/L+ymrmfx2OgVS8t1iJ3FvlYlEwnewrCPnf9X9ardT6M chVViQF3vUVvw2ehKiXI2HoSYFevA2nZ7ZmaEs7nc+iY+0sfLRGsC/11uLPd 7zOsYYQpUBW4Nfbvfl1UqDWzLtI7qg152V7EF0G/r8d5fRDn9bI3ZZFQlddk gaoMaxjVHMcUALt+UaSPYz8QAJPOWXp/fw+74c4ftAUCVAXuQOiYtwi+Vp3w LMz/lNG3Y3MUY7teA9IeMT367qGCx6oKmvO8XPF3l5OSaknHpFExtdI9hFkY Tj/PhvHGZaNfWd9Op1OqD552u5uY3YSqbJh2VfFQl5RhWA9dgjDP+Xy2ewp1 8qrGTOtg29jFjH7lF5hUGaQzHqrAkrwg7ari4g7E7iAwbBtpndRMDquxh3C1 ae9WK1hjQ43Fy13P+/u760+nmLZgg1ZeD6qyAVX56CmsZwo0p5btZZZ0hNW+ p+Jj097N/C2sVrD2hhYX129duMmJV4JE7/FV1FVN1/YWoipPrSruw2nfV+eB mjP/62xVczacWfKxae9mtGW1grU39KR53xa8bKMqz6sqMTLVPsvrgZoz/+ts VXOe1MKU8Ni0dzM/2WoFa2zoefO+efxdpHvuzYCqvKyqZDxQc+adwiY1ZzNq M8ruoWnvZn6y1QrW2NCT5n3z4Lu3RNPPUdJNhKq8pqpkPFZz5h3WJjVnG2oz ylTaO+9/NfouVJi2TOf1uEZ1wCOw83NiZ/LxWYDFgnXT+dRKBCtvaCrxX2Fx 78yvZ7iSzmcPxw8HwlCVh6uKhRQrUZWM+2tO4a+zVc2pFXK1mjNkJu3d1J2W pzwr2SV76oKHp26ckbwx8V9hcb+LLhitvhGRjWL4B46qTH11B1WxkN2iiQ33 4bGaM/PtVjWnSshuxZozZJj2LlJujepSVcqzFis0KpinvtwndeOUYCUNSU4p gE9mj3GmeFZWQupid/vPPMC74WEIv7N5GBdVmRfsPqqim3Un23pUJeMWmhOJ qFoc1nU1Z0HSxhbNmcouWqve3Yo1Z8gw7Z3O+C6GulSbtqzFCg0F04EFu0/q xlHBGhP/XSyelfXGJiuJ1nff+/lEmhtUZUawO6uKXcBKVCXjFpoTA2EtDuu6 mrMgaePVNWdB2TVrTgkzunSR7FcusULlnj0Eu0/qxsWvHNlzq3qM2ZuS5PQr 3zJJbg2qUivYTEPDj+VlPRnMMcIySe7MPTWn6tdp0ZysCJpzHyJaV3hbu3Qi S1tm5+7Y8yqCOVo/rjh1oyt393Vt0re0bJcMzq5Wl1CVFq6lKiHkmlUlo11z IjBfj+bcLWljqqLLNCdT7yfSHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAIDFRJ4U75//2L15ndesZR/jr6+v2k2eAQBg/ci2 R9KKrk8rtiBJUDnzKWDMskRFgRxW5IAuaQ4AANaPs7SkaZqdQ/l2LZZkZml0 WLXNAQDA+jkcDjLp2Ul5sbRfzr2FilPipIooLvN5xTI6cBdcJDhznsq4QGdU RIGPz5hh+rMsP1p2cqrOrg+pXMqpnzPJnTdN10S7Pl6c0BMAAO6P03GOfpWG OWkST9t897nZF8in6KM8hdyEL5PLc7W6QMcuaCcyla9ZzkgXOAO1/nfThXXq f3dp2vmOSt71fs1X2vFd5QECAMB9mIqwulmHFVem7sC9ixHpZO4pCk45LEc9 Po6LC+t0RKYQzMNVUw7L9/vZU5XeGgAAHs5wDKvr7X9X77BSjzO8YOiw7BaD UYdVWKeq8uRGx01DyaMtz4cc+mgAAFg/2SxBfXS/nKKV6JcrcVjuZ7Nr0HF0 32UF3e+nC7LJ82mXoN1oVZ2W3yFYKqR7FKPb01NKMl8JAADPQrYOK86fTif5 MnkWmX0HYp634EAmndLg6+2G3IknfxcX2IO4oAeSxHC2eTq/IlopqfP4jSoP IS2VY7TUQ3lixq0fKQAAwDLkiD3FPZZoAQAArBBFZ44Wo/MTAAAAAAAA4Hk5 Ho/7/T7tlfWYZrp4wWOOHx8fuwExFumFDIXBctqEhy8lgD6mc41uVxwAAJ4O L3/zrJh0Goxn2mSXdclk0Tgfnu58Plct/U6b8DSeqh0mG4sDAMBzoTjFnsiR VHrensgBixxTrNRLHVasa+j6xRdVG/KrCbtIORoVrI2MGosDAMBzISdls++O QZ9MV/l5aV64g8xhpXh9hHenvBjsRBO6fkHqnMbiAADwpHiFeHQJeqGcfFkW dnXTDsurv1VQF8Ri8xnchBfIL9hDsrE4AAA8KafTKe3NU8xiP+UtlNMrpxyW 90Yeznmw/xpe75XvCpS8ectUuhl3Oe76xAQLijuDgJe3j985AAA8D5EMOjYf VswSA1iZqZ9yWKpBTsTbs6Q+ayqNWjov0aHcjIRDl1RSXMLY7dbOBgEAgBUi f+TOwDDv0bk3ev2Uw/IAluMdT4FwQjRPic8udhPZFs2xN5c/ettkn8wc1kzx tKyEcc+kh9UaHhIAADyeNH2nYpbYwVKOZjgOla7DyiYEegVWbIzsSRH6OIyw 0ibsZezU0qka+qjWwyXt/syYM188K6uTdAkCwIvjdM+PlmKlzDisErKQamaU ar6s5xAO0xAAALwU7gR7tBTrxV2CnjJR9aDs4zx/IyZdeJPkqrKRO8CdhA23 AgAAAAAAN8RdTKRIBgCAlXM6nS4OzaSTGVKqNi8CAABo4efPn+mOQJ41Pb+S aApPwM6I2G3U5cFquZqGAQBcDzma8/nsydL7/f5Hz6OFAgAAyNn1c6e93nY3 NoeNLkEAAFgD8lBe4NNVrhJagJfrljdxz+SGVUkb7ylbS0NkhwSArXJrh+X9 jqqKXDG54XxIuGCbvmvJdjFWbWmI7JAAsD3Slao3auLz87N2RscVkxvO+8ra pI1XlO2iE29piOyQAAALkLeS8ZTlLFz8dd3khvN+oSpp43VlmxespSGyQwIA LEPGUw7Li79Gc0tlXDe54YxfqE3aeF3Z5h1WS0NkhwQAWIAHsLIkU+ZGuRG7 76kUF6c4TiVtdDfpaMBVKJu3WFfNWSWFgpU3pPNqJXuMtUKypSQAQPedhdDv /PIL6f7wN8qNOLxg6quppI0z1RbK5nhtfkbHfIRV/hCGj7FKSIeZ7NsPAOAB rO474ZSHVBpzI6ZGuMVhDZM2yoDHDu3DagsTL+qMHcF84sWLfZVTD0GiytdE Oq3MYZWXtZAe8MJhAQDEZAav/HISrt1tciOOMuMXdhNJG0errU286GpnJnJM CXaxIT+3GHFLH2NtWQlJlyAAwBR3zo1YPutg3mFVCaZKFMt4YmS7YBnZc6t6 jOnFHgSUkJ7DuUwYAIBt05gb0V6gNjdilWD7/b5qfVa2nC0mV9xiVrl30/It e9LFrt/UomSxVVo2hCyZugkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPBS/A/6 X35t "], {{0, 120}, {571, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], BaseStyle->"ImageGraphics", ImageSize->Automatic, ImageSizeRaw->{571, 120}, PlotRange->{{0, 571}, {0, 120}}]], "Input"], Cell["Electrochemical impedance spectroscopy", "Subsection", CellChangeTimes->{{3.4059068143867598`*^9, 3.4059068412130404`*^9}, { 3.405906886040587*^9, 3.40590688927745*^9}, {3.405907098097617*^9, 3.405907109932663*^9}}], Cell[GraphicsData["PDF", "\<\ 9E14ARda;S<:9LCUl^G[Yo>Pd90?cmnLYTXOMK;:>e5@M6`J>k[ebgOZ^ NZ^jneoEgjYoEBnK^Y5oPQm6=kUZnJ>OVZTO^Z[[^g[`EAM2?O[Zdk_Z_j^?o2EG ]d?El>olhJDKYgYZZiMQk6XoCOgCf`oEOkjZn6;Om_??[AmMemA3deF3knZVMJij mJ7jhoN^iWmD_OZiNViOE:on]o[;ZoTg^db4gkT?DcDd@medHdKS7mGcmbnZdEG? KcjmnNW=;fmOE2nmmdo?_gch9aoK/GYnmm>KSfoO_JQn[5kmeeOni4Ache3k?A]A KJnOCDQ<[XHGAEBObdTdF>TX]_gdj^fIR 4DK4HG9IUCR<;Z_@4hD6EEHUYZJ6^YI@io^mcRmjc1dJXFjm9Z/;K>0a61;oR=6O Z;lK3kY9N7Xa6l1CPLNXHKa19bjKV/BZaPIN<;LK>Mn[XWPJHNV_1T63LmLG?ddhjBLMcd[J]3hcL[ b>>VBMSdkH1SSG]6X/Q7g`mCDiXY5TVe6j]goj]`6ODZ>K3 F8MYfWQ4^[KfPfYK9EicQ`H5J[Bc`LDlT4S@97ijS;VM^Y_@lQZma1Bn ;X1jJ^VYg`P^8BOQbS22QPJi]IT9AX<`R@[1>KXo6ZimE8ReIhT4EFL:[Z?0EF>X CE@83W_[E75MH>@;5EEXlIQL?jTYf9EDa8gJaHRGVgV9:JaVOX`:PLYj6Q9CN4QA QHIZ7kFdd4R4IQ8E@[O;fKVhBTa13FldjoDhKCImH:@T@FbQIdd@ice_43aWJ6na ;Vn_UP@1^53JlijH0Z5kj6ONdUXQAXFBnWZ=2ZBLdOTInePo2^84eR?l]3?X<`eUE?[]a9k^d=S[;/aXk4i3/SHJbc^9J19m@ch`HOQ jKTa`/5VD4kWLRT16bcO2HRJJodhTVW:bJEeHZVoj^YWX GjWlOMN^P6d/8=jG4cV62Tl1d@[`5`R7=l0fR^^WLQY7j<:k/AikX1:5TKnF4cUQ Q3k?Pb0[S7abiDA>>956[aEYYBZ9N[OY9P>]boQX_M>30OAXh[;ANcMQDhoFNcl2 S^]j=aU[<9lQV3aJkn1EcJ3[gLI=090j2HoWoVkS9Z6AbQZDJ^LV`c@g3CFODnKjm^nKW/V1HbCe/6LJhH>G6Ok8clbh9PO:Vb1 H=I/WbIbIYi9SbL_64 4YgGP;IfU7YSH:V56`5SMdBRBK`_3llW>L0caI;`g8jBe5JIFFLc?c;18:XYW9PH ]bL7^1hgECRalE?O1F3h1g4Snm?]cf@`]hT;4YH;ddL3_E XjW[4>b94M==3LdMPMUDn;SRh[ES^OO?kgioIOO ?[ihTQf:j[13@MO:=`:=iO?WMfmondQ9]ocPKimnRSeN_WWa6DJNC9H_Y?RSgNd6 D0mgfhb80Ml4lg:m=9;@X1fkmKDag9OdkBY>i0IPa9i]W1dORN9;48PkE:RH`3kg E::d;[3bQDVRXjA=mI?IV^d>1R]bb>kC @RCi4nE>FmZ:IcHi7h1HjH`IYaL]6/MlT4IHm]VE8`c@<]< adeRGZNJ=i8GSE>PLMY[gUYN_Z5G0AWKDhUa`:I@g:o8bjKgIfC4/T;6B1BG BGgQJBZ0hC8RDEXVgTQb[@Nah7?SVi1Q2 kHU4_M_DBKjGiJ/QX`;UjhGh/GZEZ]5Yj[KhS2JKB<_JlU]dcaQj:/4`L[`F=HSjdIb?:bR@3]X2OWJCbLe6I Q?BFaH:fcfQ/O=`VUjhOY=DT7Okhm>f[nbg^:U/j:eoi1T19HUmk[Y>6XImVU7Ze PHE6K1R:@YKJf37@UJf`?B>Kl9i;S42W`N00QeMTEF83:hU]LNIlTJ4UeQhjJUDfI^1aWWL]2W`Y5:=IW1X]TgR9]0T0n=:S5BI`]ell`LTbP9hHHf@TMYFUDK;4]JKPiXFX7ifm1i[b@2@c1>PjPk3_S Z22gF9[5S;fCBTI65@Y`c0INjOSX:<2>DRI`EUQY`T/RVIX9>Phk3Q>AC67T3Y4P ibC7JMn2geHXNPL05PjMm`NLQd>lQjnGMNBK7I`WVd1fHdIelm>l>W?OcCGPQK4l4M5Af>TmlQ0]cFLBaI2FhV@KYS Y^/H7^j9a;1cPIcR19DKEjdWab8[A ?9A3Nh8W/PcY_3lLAboInmII^De4Mic4Z6UCc3RB`C`AgE69l[ZPNZ;0gC?Y]hWX BS4?0jJWd/66_7PXFlZN?In734AIE991J1oh@CWkaTaUiJP9MPH1cdO7;FhXJNCiLdM9e5L9V5;STQgSB0min8Z:O9DU@@W Qfmc8Y6Cebo^NN3OV:ebV9FL2d[WakJ]UGNZaFmcVaT`[1`Z7 Qlj=2Nn78]76lmSoGZK6:A^90T`lKi/JYdB2EUGJgL9/IWHJ382=BL =Flfb[`hIBRm>RD@cN5oP<2^=Xl=/ln8cFIV4c6eJW7:ARZX4_m=U MI/FYeBR[4Z2Rbj[fkChC5HfVMSOI/DY6e5HRamnhhf;fj`hYA55MB6oK=7U7;kO I/DY`LSD6Ui7`cC8YgX7ZTHk] Z7Q790[Nf6QBg;?n ZP8^9N9CDfK7oEZSS]oNlA^iVJ/9@3EYcgdK57<3UN?hhfe5nmIZ;h=RK/0N3]lZ jl8g>cQ?=/cGPJZd`/afE<`]F1^UaL9S9F/d:II;9H<<36N0hB7iC3H6aQUoBHU4 ec49dQfh/J`UYBARb;USJe[`?:HclDOF>81KikSlI3F6O4IL8T4e 3lQM5/>lc9mbL]4HM2[<@W[2oehgdGL^/?:5C>0YYX0KRVc_dF ;1=_]?90GF8=:i5SP9BN9e4cJ6dJ8K5k:>L@d 05fc1YdEKX5[aYa8`T[9WA0ZUGUcZ>4/C>0i2lL37mV^R8WZWF`o=1cbhHbLg3kb T:c049b@Q[afW2Cb0H;79ggTKaTFV1LnjbOPT]j]29 dfFI=I@dEfYJT:>4WV0:4Bi/>=jSI;@j93/;LYQ`alY5Le3cPXb56VkafU>9iU22 M>P2Xb;/79F88S0Kl8i3ZecG94jJj]iLH1@N?GU]CbDf7SIKBQ@NCJ=KV970>?7> 92YSaEaP[7KBQFIDXXFm]l3Afih2X9VMiM@UCJ3dET9W8`7jg<1:>SGM8HTYCIl[ 9H[[@Z5f79bg77XOO4hTdGa9J]IIHG]/K2DeYo:bG/1QOHaK1clRk?6Ymc PIGTYoW>?=9HG3k5``mfLcnJXMS0`4o0a<;7QCSQEG_Ofi3@LmIRK0dO8 abTV]8FGJeUCe`X5iRR0RJ9j6`@bL9O@RhMg169hRXYoEI>`6?k@AiUDZIfW>WaP?HgR/OFO3F4I?OX j@^?WnXbi<328;Na[>a1k>V?ge]70T0W9iO@J[WI979b:QJKRj`la4LkNF9>WSCK VH>a_6Cje>lKgXB@_9Zf]YPIg_ EGH;SBRkXQYLIhBS1k8bL]6jIcNho3NHfD50=]03; 9D0iK2NlW@O>2dG[VHcWWT2/35`USS<7A[B^VHdXPg<=D3Y1B/WK/TmWSbR m]PL47SgReM<]Z[YNL505F^QDc/FX?II:ejWUBZi_4 _QCEVgPmihKY;O=jg5Se7GGHo=c]CR_6lY9mdV46MaEiGJRFSkV[Xiod3D_E>eJR _>h350MhEcDaQkO`;P]di[i__N`jN//?5^=`F@`Oi=ToG]b]Yfk8Xl/obhTL9BJW [ofDLa8UEW9J@QEG:i=Gal>ESa@GamJY`:@4>aNGdD:?_?66an3gG;I>ZYagTmPY _;1J_<[[BddO6c6]?5^j4ekDd78Z`nCTEc__Uh[k091B^IH4M7W9CDBM;ZnRSBRE5Bmg4G5SgihEhmWKO1TAkf[^RAS;Ba0Bk^mDkN]: ^ka5Vo=QT[`@bX^P6em;O4^/cO8LNd1Al[K=JW=icETBK]IHNVc?V8aa8JNTQBGL i5VdB8IZQ/>ZjIcVX3I7cX?HB]0/WHX<<3TdmUR1bH9L?f]US/l7PIUD]Wid=A_b 6B^9WMT8C6kHU/_9MaIfcD]e2i^@da9_7RP`>ID=5aT[DF3O5B@deL02IiZ2bcgB F5hlc`];M>;MWBeVfZ=kJ_XRB=1P?UYNPG;FbNC c7b0IG/RfMaZAUi<`ZCLGC?1lHi6139<@X]W0X7LF7CFL[nAZ2SG0gii23bc4=C2d3o2/MOgUegM_Oood6j]M e4c??kgCgT4_VV4_`eG7JgSVE_Vm3T_RN1:3>8>VA4TP0R[B:c487@R@2L< J^k`L^M8G/_E:h`^YXYmPVjBGIoi4UiIR9FBP6/b1T3n[j`Yeema0o/DViGRSo@Y =`W@nRe8O9AlnGe?6mVk2n_b:QdccIGZ4_DBeoccK5K9/W[eQFGe=MJLH7nmg<=0 461YWJ=;Ql;ce`83ePVAj[c7AoA68`Z J3C14_RNB:9k4hG@JL[IFhfA>ckhmL3?;GGk6BeeamCm3oL7dSH?ZeO?kHoYPk5o ngoK=Tb]2VE^I7=dLVEQK@YUKVA_HVX:=B0`86mRJPXe>C8h2VE^I6mRJPXb830P Kf9Z2S`l82mDNG1U82m@HFMU82m@HG9UKW@PEd:?Sh:IFiT Kf9Z2SHP<21_HVX:?3`P;e1bKf=CIG@PFb0_D4A682mDIGQd85dP;dI_KW@P?3`P ;dHb;S0P>20`858P;dHd;S4P20` 858P;dHe;S0PBha838`830PDR0_AS4^<20g830PDR0_AS<^<20i 830PDR0_ASH^K_Z?kOnYo]`GfkgBhli_bUS c5WEEEe=CBi]KnN/hN401S63F=ShPFYjBX[RFX`BRXYb83HPR0G4aXI:CBd10I/h FmWKBIXhPoV185If42_Xc@jD/7O`P5QIF3X3BmWIf3R0HPh>=^0gZjf3RccTnj/on[LL9VKfMSHN@3>`nE^P Rhf=TXT]64SgCaKocFmRJfGSlJlCofXEZ6Q_1XKHoNMAKO1Oi>SDkD`Le2g]WOoC ;nM/l/I:c5SO>O;EPiBE^iPleD[9a=;H7V9SI>h7oJ=NgNZ]QHfH5E k9f/oR4XT>do71ZFEZKFMV0WYgmi`6oRo@Nm=egnJYkeoigEGmaEC:cn>Lio9okg N85_h_hUcU^dXXTcaBTkDg/c:c/;83/G=m040S7a N0/0_B4^X1L8J?E6b1d8MWnSbLYRInolEP?h=W/OX;Tm1?DO4`<1FDg]KFe=oV7m bl0>I9Gh6g00FJGo1Ya0E_Vo0AN@ENe_`0eTeOPKl01ImOh6_43F_`[nUIX?b6[m ]nN=6:_CGnRobbL^K^l>m6;VH0Lb/g>m/F7Si0GbL;7io?nXZc^okK09a>a_;MiX 8Y^j@21P>nNoE_I]BZSo`^IFKk/01[^3CE6G5na=1H8oYfJT>ENocaTLTmAYDfS9 iTIdH78?Y;ChOQnW6aY[n/0><4>fWUlQU`W7cY@SQLWg^PZeYcOk]A0g5ieSll6` Ue;c7X_;:H0ZJ=GGaO`Z^[;48h3S i[a]5mCMB>KQDdk_iTTe:]clcMFUO:ZGQ^dWijn4<:ei[U_MRg=Of]E?4N?kUQZ;D2C3@Il2aIn;WQ ^_Zb]8W8H_5imS2@[fkH37bhajVXf?iNhZB@MIeVA;`7N4BmWL2^_5AjbEI3YTWlkS6cP`cNVBe=@:Ih`@Mb@h0mY`G5NL3MJn EJoPR>4oO^29JXcQg@0HZGm_FMZ=@0ML/?>I3o6/a]eMWcSCBVD?b[F8/ahBi4VAV>42K1Qo k@SV9BcSlXaOnNLQ4`E/i<=^[j5DDC8@n[gV3ShSUW32boDiSmQD RFcZ>6k/>PVh7RHRY1cAQfF7nGUdAJOaO<4;AQgDWVkoeIP8oWRLoTLi8Ak3Aln` BOaV9f:Vj4nROJ3C5Y92_GLmhDf_o];Io;`GEbSlU8/NJTJ?6IZR[I9Bn/M7HhZ] ;bafNKg@jdjoLAUj@b6XGgAJ`c78bE8;NP4nU3A<_S:?dGI/F2@2QhMnklA`BHIA MO^F^ZQ_`VN:bWjT3^EG9NK4:MUM1_PUQh_2PTX^T@8loN?`16]iQK_?TlEDlK`I Z_mhDLE7I;THeQBV74]7NoY7N@P:h@b^Qd6Zk/l9AK2onKd]En>mZ52;OL;i?ShG Af2eD6=`7dU/GI6HTKnJ]Nl8OmGQ`mhj2Q?D`Zj=i_@6RNoL2WGofTU`fZLUoSPj?=F >HC?7dkL7bY2/^Hid]2AJZNiK2Y7R[eHMD:gHPQG5R?^j/R`OkYAm1Z=A:W:38Qf>7kej]M1G64L`Fef8@WDM6@SaYWHGa? CZZRAM6O^Re:R@Sa?7WKoIVJ572dW?HhVOUJej3bdiUeADnYeXPDM74mT7LYBYcM 0X;bD[K?@W]KM_Yn7RCBB4fl0g@eL0TKM=<[JAV5d@;;3M@/0oK;^NcKbX0X58PG S4bb3WdoEQYXXS_H@2moH6/e`m`b0eYPQGCEnR^LB?UJCfgcOT5ESc?g?;kE6a7dGL>FDE0AU@@F`@8L:m9M20 fVmI8jQZfNPUg@aadiaj[g5mh3SGh1JjX6dfblEZgGEjnW96B^H;Eod`4EiFPb2M `2^mUEhALIkldkTMa3m2?Q3O1?M`OM@R`deZ7^C9K?dk44JCALWmoKcF=Yk6dH5UA[iQZ/mTHWibibW]DE^:l;BBJKEinR`T M69/Y:a<=PDcbEE9E6E=14P/c?;b]ED9:b_`mEa0FFk5XX/Y>Wh5hd3QYBhbd^/C j40Y5MUV[d0BW:I19KFDX8[UNSWRmiJ?Y=YM:QKU670:nN<1LTdWm8 LLCRLQ`[G1XE=Pe3m0?mkGMZfoTL8KUHmMFP7d6Yc/VMgWRQQbWW9[M8IVAJl598 gaEkia==HQEjbP[JOb18iecoL;FI7;kmoLkTWV`HQAP8DjE6=;XLLielciXF[4nT5A3AcSh1Wnm9ci41X;2W]71F3@d_<_17 SnR0gbL96QnGdKH/ Eal0?_N_]DOAk8WB_J_d2d9]4khMSf]IM=m]hD 1fmf_5=Ujj5>hn9N:=9mlYkbI_QHhiiZV?]AoI1QYb1W9Dg=I8YFl4?=YAnKd:H0 W6H4Am152XW3MmQO6l/T^1f89T0 IX8GH^UQ^BLi9_H066V^cfIW_@2/h5/[4^ca@ARjCDdDnPa;62>:_W9Df^Id1?eK _FZm0KK`[h_5AT`kkfKV:9QnZK`kM=:7ZY7l9EYP6kDcZg6f]9Q?>2N:9[K8aWfC J0GZBAjN5=FDdhi>05adS=PTV3JU^=Q8J9Q?@UFTZ^ZkZegbO7QT f:YQckUlU?UdTZ=bEWD4Z>Ji@0@EJ/T4efUEPWcaBG784hkAUme0FGFi_aCil?HiWQ6IT; ?VgVR]S_=k>c]Q42eBN2UB4YF1kiEJQQlF[Ua3g8=N/Ogn?bkcQ=A3a2fJUh8]j5 [Dl:e7aMOlM2:^Z:PE?U4A6iBkBWPO[C:a/cj86oae8XNZl5CKRR^WkZndL;OXh; G4^AO/`:[QJ?F7jcJgQ[a9LU14G4;Z/X>g^^33N1C3k2aDdbTmHFkT6a@1Vj3W]3 _G9J[m1n0ccJ[@YCghT3W^/c0N=ig8>3E4c?m1U3P8j;5X2DJ@YNUFj4Z>dNdjMU R^ATPTf4/Cj?decCd=[e2ZFD7kBn_39@dJI[=Td6^e]B>1NG8Q8WiJ^1=b3Hn4]1 LZ_h4BQXC7aR@d6@l;CFSH8F4jed@1DDfc?]8MfZk7gbg2l4bJ1 A8^<7PLYAW/LN_RhnW0WnVPCM2j6YCPC;ej8GW[N?_dc=CNQCA=Og;8bOiOeoFYh Vo4>bmkNWDD5PBhYG;4?;0WNTG9hPiRlIi7oA0g?O1UcY6n;9?m/>Yf2]bbM9R6C 5gI4[]@/UFfj5gD^A>V3S6U?V6eS69Ec9dn6JF@H]_SFeT:61fKAa:/B7f0bQ7Wg O2ASY[iDTHkU3BlaV A2GinLKkn1JoZ]MOe8mfCdfBXeSc3V3T:E_>Jc05Cdn85RTAc5h4B^`_cO`:n1W@ Ec;I[b5mm7RcbYi[TZbKdGY/C41;clIef;Nc4cQOj>/BZ6Z2?a[WFf@QiTAn8YI` el^D^O4U_Vg8i/XFY3BJ[N@K^ZGUHWm06X?BRX0NTK5IgAXke=Nj7jc[RSZ_e_3=MbkDjHQCi@UA6=heTfUmYl]hf5_WfY_T[DJK/5bBa/o:Va2ah IjRdYZXV@^X@K S0^[MP4TT0;`c=NWnF`Nig8lf]7PWIig01J]X6Dan]72=DQ7CYHCo6E8AaJKAcQ] 3cI_1R;OPh/?i3V/:bH_gAd8ik?_AWT@nX`VgN/iTFRO_Yg`lEJ3_=U34bEH>J2:jiGeoG83>E]KXnXEM:7bDi^O6;hB ]fC[53WL6JMCJlVCD8W^?GXg9XN]7j1`7MXC6c5YnI:O aeF_79bhk34AT`m[V@iD8a0O[l=9c`HoCdO@RHmX>T_XieiX45l=^CD_VbJ^fXQ7 OF?K]C`N02TF=?UUEQ_5SD3=KHK^=Q2OCnh?ZJ oR;i ]BO9>elm?G:EB>m8gZ8Q^?P2kANe:L/dYI5SJ565dNL;hDQcTkbX=E4^Q0B1X59E TU922AYd7FK<2mS7ggJJ9oO]]bc >]DV=?/HjBhgFL]DnjEXFRhdd0Unm<@HEW483?h0KM2EbmGIb_Il4>o^FIYO8=QeYTb8 [Bc0Y_@]iQVOG@0_/C[8C55Zf0jb7SE0I_:YLjhmENV9IQo[dd/FBXODnS1]mOaN _Ne1YT]b9GjBV]WJfNaNiD<`HBh25JnTXVNG4Nd^^MIgBi=_dV@4n`67UbdKg_I=@iB11>TDJPL67gF?D8bcIYRF3djV/n>P7ME^AF AJTcRUVSFG_6^Ng@SAGOa1Cd>AklgMbF9>o`K_F?64gSL=eGmVTn18F=9P4al]iY 5[WdaIW5Pf41laYhbnEUMh4/4RD[E7df^4A0h@3aAebeUUkgaKjH5LSBo[k7JBQ2 4BInoH8YYlT2>bG/S0adHnHFoVcGdP1Ko5FhSJl`BkTY8Un4HfW]DVC[9?GfGKXC ?R8=VX6Xd9WM1od=]_X7c2=^2J61?jc>0I^nk<3F4N_:2LkJ7T0He6foZc`CXg:U ^^87FAdg3EbmJ/6GUf?8cZLMenm1VhB_JYnhR=DSYgeNcQWXn`oI;6h_o[BJ2=E[ fmYJl9@DaHX?XL`E4JARkLodT9OdMBn[dIP4Q?EO; SBo4;TeUCA657Xc?d97E2_OhSG[dXLV3jIBZ96fo34aC^iCZgREVRlFG0fQ?9adE>=L;LOC0 QJAkjQCV3SVWDjhdH2kJLMiOWn^Dc9a^02lE7=;Mc[>APMji1/e>Y[>778J4EXBn 8dEB/PN45^1ZEdV3K;hoF4DfHT_gOZN/N6FWgaB6bFOZZYH>>j61R59b:gW8>CE2 gTJEDSOJWiBaB=EZPd?R/@ANdR:c8h>@NSYiAk4;ClHB2ma;L4mA[O<>RbSe>G7` 8>oLfdbfi7OhEYTd[RcWhc4imDnO1YRF;SDHK:8CHg36_WF6m1jTH0d`O865@AC1 DmWi^W;kBBDm1QWElajOFI:2cbngfa8LWN[Il;/?5iDXDiTU2ENjf84/XNTX]DPT MaJaQBC8^MT_m>a7K=eSZ;>I3kfTOQ5?QYEn@9[H5d2SK8hOCP9_n]6bdZNbjm[^ 3lUf7K4JQVQo9TFP4khoFXjM__Xgfg0H_T@h[3;4f2:g:iF;DFiT_J@Ne55gMF4L FB^M^K>?U7_SDm0UU^G1W;Z9IYV9d8/jWZGkfnOd:HVR 6:MGZMDM@NlDhNUc?2WhQhA5=TJ9A;]GVIn1JS[Xo46O?ZKB ;B;JGJQb3cab^Q@_ZXfQjcB:8QF;H3eHEi>C7P_/Sfa[::BRCXQeK69_;ek4]=lm Chc>kAe;O3<==[=>AR3J/:XV]e:b/ mTU6C;Oil>b_lZS^mhMGP8aPiJK4m>5@84WBalY5c:7AHTAi6C955=7MC=c]7gBN:b@db`:R^759 aU7H8>O5D]GQl<>FEdElhH?FLoN[452N`RC:6M1Ao`LESg:1]^i7Z>c`^=Jh`MoX XYO_ilgZ:FaL2U[X1nShNBAnFfk/`L_PHi7GLan?[oPLfQWYelFCPaM7lKi>>hiO 7Anjn6:GlPkHJgX;DOcVYe2Z`@lbEMFm_fQIbMdX=:kH/VYF5YBI@D87RdZmQl:P lUB5l[2L20f><_ZT=IZmU]INKRkL?D49Ee67G/dko`UZ/]XUoU?U/QhICRF@J foSQiceWY`kecKXiLbhRFYIIa@/1b:RPE9a54VGcG0QAkd1IZmECO7Fe`ZJmc;AdSBeIBR1FEc_UMaBJ=Cl7cMTL 9HFOUA@3b9L^e23oOBN9>1:CCM@J0ohEdQFdf^W2Q_WNd8165WRc4aeniP_NDCW9 HMSKam`TOVfL?bmcEJMmgnM=Rc70UfOEbJO2HT;>0@4T]o^n8ASGMSD1CjR1:366 ]MjDYi:K=>QLj^eJa5`PlT>oA98TS` bBgA9chfQR:[h@lVEEJCEF3QUJ:96e3e_>0djZ37Dc=TNc5kTAf<=2kF0Ym8>5;ji17FRIVmgWm]W?n4PKMGo:?Z LZ;iZ=84KC_;kR<5X91]D[DjNF :3ZL9mm/]SfngH6UB[iQT00Y;QQdjkFE5;RgM2KaT:VA@ZG^9kNE ^:GCYfM]YJJ<2e22_8;d=Q?;h]Yk@V?D:NMDHYHhlJ4:EZQ@ncD30MTREE>iV>nLRhMnCOPTO^AXIYRB Wd@SLe0IZSbRY>9;62:3=9J nhiLM3[HfPf3]QRU1UleVUh0RlK`RkhG;aj1Y9nGVMi/JEUk:8emiCXQD9dDLY:9:2jKL7M/lnQ:7QilbXoiJ8VjWZ5P0LI:;C? OdI0^jCm;RFG^:^KO3;h 1AgS]C?oHGQ]WT1VIR2IB;GblM:=4YFCaik[e_SY=]LQR0QdiVdnFQ67[oL[4R2n HYNYSa7=AUMOOigaFBm>K>TKM`:4gKLfaZIbTK13@mAiCS_J?RoD;K>=DMRQb5@JV63dQ<0SIUZUR^_/ VD^@6i=9:9iYOeKdDcBB:MN_KgDE:dSBi3G[80?/cIS0EV_P?X;L2Z_2J]Lh4jEN W`IE5bG0coRRaaC=cm=2[MjlAGWZKG=H`VQ1dS=mN_YcBQBEJmNO0BXR_2?IYTY] Oj@GGffNYcc=NP3PNj@ca0GWO;T8f329VBARhVHCCO67VDCV22;Y5Kh8ll/lSdIg NT_/7:4=Z3h[3In51<^BO=7=mjo4_LBT^FTTQ^bjQ]Fm;8?H7m@773Y57ZM?bX3E>9K3UDjVcUBE/KDYfZY2YQGao@HEF?NcJRWhAB4V=VYeF2`?OL1ngZ89e :RRHa@F_>c^<_X;WMjDUkFXgHNJa8XZi7@DNoET4 C1VO2BTg5dA`>Yd;bkKoo12oAo6/oeOP[OO W_kgACBe0I]0W>e]CB3FZ?l5QR1Y1@YUKVAcM79UHFd:IFiTKf9Z2S8f830PKf9Z 2SPi38d>@YU KVA_HVX:CH:;dI_KWA2@Vmh85/]=SHFeU82mBFTi=@UH[@de=BC4`82m9M65/JF=1KVM/IB0]CT:;e=d IFeF83Lb82m=HGQGJFAdJ20a@X`830P<20`830P<20g=CTP<20e>3@P<20`830P<20`83HhCD9F:d==CDTa<20_AVm^M4AULf=bJG1dKg8P aBE0P508TY3R;Pg5R[/D2ICRD[A8XD0Y FZBhBg62@h7Uo^nmNlknmncC?^c;c[c1De==A40T0O8adO2`Z;P0@K18Ji@AA0L;0h0l_83NH7gLH22Zi^g1lC1 4@hXiNOS4`38^KTiPnnS;VjNL;075d0=J//3047]010h3>001QX4m460k7Q8P4607/HD3K<0>42P9kcm`ZD7]G@5Ro`cKNK[m>hD0Nl3^ d@3Ho/;7OSl3I>L:MOH6f87]ka/mWIfe@2iP0=]O9?iK6^@2LOKnEl6oT08dGNg0 7]2oUaZ1on;6YPl5^NTk^/;oWUN3Pni9bD4MkTUc0`Ein0CoR@02DhIhPNed871K Ah0mb1T6oVOL47ZoaAT21N^h`R3od1?0mkN4PB?4mSDD38?m:`>neni_k>iUn@/l kgmajRoV>R38?kglmmaoN`^hUoH_JNjK=D5`3hPG`8b?Qhl?b7MONGooij?5gkHY @FeMkB1@1`2oT300i>41l[h_1mjOQ02n@03TWXlG0>aeci:G1nX:_ml1^7ON7f3_ jT7b3kn005jh8aP>nTNDi;ocT9Mgm@;hlP6hnHG^Y`95P00A8Ckoo`V2?_cnC@9i f?dWY_]eQ;JN7QiP:?b_5nMN;99oWNdQmiJ0`EiPFi;YBEMKRC2W]>kLGV5<3Ul_8PgRHRc_NC7/b=l?C73X8:TbU9kSUWPNacQbVjg=ATo 7Y?[[6kIaFAh@BT42fH>GGZM4[FUH@DX3LWK<;;c57ZDFQH=cI5EBb UBE^hkT_CKRd?cSoW_Gk>[M[JKN:17_Rm1R]TNI[h683CjEAlMnWk5IVjPaZWOe0 hF638>n6fO>?5T:T_Mfc9;ZUCPG`hX^h1enN67kZXSZ[kViVO^lm:hc9lRXHIo]:@T>bhjRDJQ0NQk[AJNB59>XkTIN`1 YLQ:QnTKFJ0j@[g2kF6jJa@?]GH?^kH5cXLF^WYILHo@^chb/N=FH_lk4H[_An@N_iVU:^EYc1Q>KCIZB_HN/4_3QYf9Q?VoNgjcm3dMkT:1`b;PoDmNHX/gGSANR/ml[V@80YaHKH_]1LL=nIBYg[`1mHNddUolPjY i]:LJ`ffk6Sm=DmFEY5^M]ihCbEHV9W75QXB<6o;m7::@bUI5>L/U0ggVLRnSOZK260Q M7cmCWHEO7jS@TAV6mib67[H=^`GU>`7OQ^d;2W=Rgg9gl=Z0`e[LFk_QG3U4[]S cBj>Tb`?U^2gn[mHZ3EOTZ/8g2h/c_SL@=6To;HWRAX 3YomC2>1lWLbjoIf8fZH7MN?GOAFHgj8kKa2HkN/m8>L3Y1@Mn19=2T^USEe_`FV j[I6j@CciAdA7f6XDhd/>L]V@^OSMEJ=P4BY=amFHi_HD/kmGX@`H`oLH[F5:a^[ hTh`eK[_E7>_[V_5>TRU_Cb_?MA8J`Z9WEjZPTgDFRbFIYZJ4>E_lcfVO5M8g9=;a=Hn=n[@] D@oKhUk2JCM8F@oKQJ47OlQ2>QfDb6_dT/07d[]oQ6V9=XUE;BVVO@KF Ol>^e[La==9oCOH@ABRUflUobX7iCPMX@IJ39O63k9m>]QMCG_9:YCYj6O2jJeUTM@NAEAkH ;5>_b2^iL7a^bPY9?W=hVYkhIeUJRU[R035aF=6M`@DUEJ[Mk?leSGFbk8Y]JMfj /I13A?;Rk824dVn=RR8]@2iDfNH`:?ZAmHmNhk?210[UNU?UAc606RNZbHMV2WKOgic2jE^J6M87ih?C;98WC@KDOOih?l: _MRD30FAng^NF4TmkOAECFC7KfWf9A5g<6e0PTfjm:aIJ/ZD?`7PO?2KJf7IRoXfQRebh^m=/mGHREClZD 8IK``QTbgeeEdo5SU2 =[6@8_OaSEnBb2bONIag4NHbY]?Sag::clVC]9=a[HlTh:UY9i^7B` M43Cb[KQan 7<`S2a;@G8nWe`o/2JU=:2QH]lS0]nXPCo6faOL2i8Qj_bSC?UmgPeHFBl7eS4n? Rc^O>k5:>?Yn3olXV7^QOCVlGgD`GbFC=cN8A_iV]Lm4T_:_@;8F=gnV1;Q4:>:> XOOd:T:WSW/817X^d[HncQMJ=Lk^7574gM5FV``hSe@8WZ;F1o:Shl6ec=gEm8O550=[@iAn7aXMYPfMPj?X1RQ9 EPSTFNZM/:Be?U@X/T_g^X>?iUE6P>: N;7[bh=gAj4;UIAOFkc[jWRcgk7^;cb/nLMOZX1<@MOX/NmVPAn/S;JQddU0H]k _f[5b:b`dkS]Ee`IFQSBo66OnD0ZXWk0/FHR`G6hoh;gI`2I=I8_4MPZd?GVe_]`1GCIMO4oL4;mi2M[YE;_cH[6^:@cUjAIeZ1W<[9bKmB o0>TaZ[:RfLcdJ/a?:SUkSDeG;RA2?iIMEH27IIRh c9YOAjdMEgm:A5[n>_34OloVX`NQ6Daa>Gj_XAoc1ZQ3CofTWUcW@Zg^?MXR0fWY `/F079Ya;MLOcJ1I3fbhIRRdT1c;7?AnXSMW2J_781C:9WEE`k3Idl;3>3iZNGSD_Z5jbf@l11KTkhGEi98[K1>cT53Sk;6FGo==Ij/CFAMJYblDTgPafBlTe`e^1621XeQ;Q`9I3;I46 ?YDT7a]C2QmW>`f]fg96_YR?YZLL3OaAX ac@m<9gQSACZ2CM1hX]]NbC02Yb1aW3P;UMRVF;NI:EE<>hYTSUDlG74oeAlT7KJD^=@Y4^_j9IfQf6oZD3Y]ea<9k;ca^8A4jOgg[GT=f2[R 0lJSKmdL?PDXV8f2n3JlAaMfI[Hl1R=n;?^?ZXKW<>HJ^=UBcmE?d`k>bio0T7a2lkPh o;`XB1?^DfI6KZDj9D7ZoKI?W]VlZg`fn>O=OT_iBc=:Ul5RCgo;bY4cQF=EEa7i 9BoXKbH7S]gRV>4b4=JhdJk_S>39MM8/JM?V:EJnd^fVYgH?VmXR[T7dWUHl9HkL=T^IGB_cU0Q>S =WM3A>C0hHE=1ZGURMK0C4:NP:1R1Of7f`F[Y;OSCgRbb7J2CG;?QfN;ofT]8WLVc1R3>^U O`ZU4S/L/Kjfc;4OMaA`iUEG4b_aAMF45?XX3>4kdXnK?d:SbBBn:dZaDBaCUlXa ElfLN^ZMH_R2k_@WZ6@35Y`VQdo:RM07IImBIKSPOoj98;C^:8T8nYeWGaNDbNj_ @2E@7@;iOUG@c8MD`TadXVda=f5]G3^je]MjOo:8>6i?[_>6Uka^jYJgiY]QM9Bg jh`VWCjPXZ3lhMO=I`YAgdR[?[8ecnARFdbnIES?AjJB]4X2BlR>jJ2/iGS0eJDG bY?:?g]]dKUg;ORjfMLDQiY]IW<79GFg4NIZijKFif=a6ghBJ]M]f@BjHSKWcH/k =EblNe;O:X[g]=XiQBo RfR>Gk3XEfOnJT1cK2/A8W_^1Qd3C]n@aZCF=cJH?lD>D<=4Yl;OoKN/FYK5:84m EPm`BY>Mic>hhHIM;^=g`Me;PM0D@>=DVkcI39H4/V5e9/ij CmY>FEAHHeOB^BVI;n?2Q9]jm9d[RIDjYJdgVYV8iH/V3QO5oIOSZ`[DocOO^eC[ 32K_TW1LU;Q?>:dY0Lk[>N<01X^kHO40TBa=>oAd^^k^O1o?LcP6[eWVABEQ<=7S ]Dk?R2A7Z`6YZea>dDNjhfDhVjk7A2:gbn[>Z::i52leiHnLgKaRB[VKRHAjg:o4 a>VoHY[n1TmnaeWCCKM8ZBncSlCd:>D0ni13V`fdcN2LK:82NXh4^eTTXDT@Ia>M IaDjF/S]/`bGNG7fEEck:dEc_=cj2=Z>4IEJg7GN;?7TH0Wgb766o]IZ3VEE5BAhQmhRG]J:>BFE]Be3MjX`;a6R>L?nB jY?O`DdX[J;aGZL5kT?ghO:JfC:C`ZXClhSHRW][U4Z7bA@CG D@NKN7[KKBIf6k]];2/CKmQmd1>=4Xk]:SlNh5aV5ICl8 ?eYKCRFmbgYjI[lgem5RcYCdFoJHi;_DeEIjha4eVGJP_A`5B091d<2S[kVJfeZ3 QaJ>?;HTB=eHSLKD>3B?n^hGNBLWQJ5ZODUQI1mB=?ZH2n?lmH@g:7DCZ`0^e/6Y XFKgHeb[j;XLhge>R2V>JAP?B^HSHmEcIPVdG5akBFo_EU?3:00@M84m8AG2UXlM M@fIZ]oE_P^jbGBCJ]k^nQ@=3F?DJI/TWQa^RYVcMJmnIZg9iEERk Unj>0lRN3m;? >>9HicUD9[RM058aFcn3ca>6AA]bPio0nFFS52_o:UZdUEVc::bMlealME::?5k< A_:0`aPm5Bj>hRBFY4g3=8ahU^k:483iQ5NbA4^G:7H>=;]XPJf/l_kV@5`mPA^[ m5UTkegSK6:fi3BEDJ61MkYYgoYJXVTTJgbhGZ1P]gPFH`nJ:FTlgSgcIkBKFJcV T/FWeN@Do9Tl;WWg7_b2c`efTIC;A13SF[7CK:B:n=HcnkfV2^A;I;/V^DMhM4AZaBMXjoFY/KaN[M<_HWMgfJ/DbM@bRHLYHcj 363njAV6VVkPFm=G9YCo^1aK1h_emBI1ec_M=lVGg6g3RY13534c^P BJGoN>@e66cS?MZL6gIPE2W]97a5JQ=AC2XXS>`M?Ie_kiN^X`e8>>BeRRSCmYio FYA?dE=PjXE[Le3=3WWjjlG5dLB@o]2W]4MlQ=@3/ARH;5]l:YWdRCKceFNVAk?B ;6CO6QbbF:^lWR?LESi9`;SMa]/hAIcS_YR8GPV/RJDT^^k1KG/JNIGYOecI]Z9n^N4CY5^o:9fnEJ5dMI@7ghCn2;l0oNUL7;c`T_0b/55J^61[e?eCLO A;`g2Gj8IPNLWV]n4C2jOf_BhoEfeimJJAL?OFL@md:QJ9W:A]CVA_F>fc12]GDf6@6YA :8G:i@hRTBTj1eHL[:fL6[5hYGac1MWQgW>d4;4=@nNfKJKdHE9XMoY4ejT0R_hF ??MMiKZF:^5FfiRG;G[Cj/]igV5]A<028@kY6l]FO_VEJDff_;QJHUm=>gDP5hi^ gimBeU[3???_fK514jjlO@_aVX?7Z99ATJ3b@jK[3Z2R>h4fKVOWJ7Ihb49NEW?O 7PDIV90oUjT;CbjWd`Q:RCmM__Z9dDA_F0MYf8BmEmd[n>Q]6Wo_bl[Fl:kDb6Sf aJgL_MOXFG1I8P4SK9?KBGY:`Q_h94Pihlea;5=o _WF8l/IcUU;]P;bXT=l@o[CKSh9LnJ@g:1Za9bJEVEo48bkWjaEaC[VoLJG9Bcgd LTM4A/Vg_D0O6?Y;8gnQPVKMgMEjh/S>QBEBF9DKYMomlX`g;WoRc>7]SFgMBVAT fD;X^DOJ/f94b_No_4SnUoelocoPo_oSokf8]/iPT0OLe@GTlI[T?`24MGfh2VE^ I7=dLVEQK@YUKVA_HVX:0X_AVm^M492KgPP FbdcCTi2RmCM6E]ER0h20`858P;dIYK7AULR0_AVaQM6E4IF=_I6DP?Sh:LgAbIF5] 2WP1GI31J/<`44C_nXXmYXLPYfMS:2T17i:F>_d0AAXK@K`BJoWP_jnTU1Ajd46c NS>cd/On_FNOB7m:/09RZMhF5K4^JNad1] ZhSdEdJF91_]gUbhhJEX7n8PWROJOAn7ZPa[S7OXDf?dK5JDdObKIEBB7e?EZ O_7eS>L?a12;CcdookYSa`YUKVAcM79UHFd:IFiTKf9Z2ShJW>0B?462@i0@G88C 9<4io7_oojVjnmAm>PogiJke/^HHLlcabJRJ3h^9CP7Qk:KWi@:3L4:h`2900`EU ?@=mMUUeMFD860SQPX31N4a9027L?11^b6=Pk@Il2K=cL/S 6R3X;gb/SfM0KA3>L2nP3Lcf/M0M3]N0>/60X;mIo8lleoacl7g^1Sn;n9LiS]C[D3NWP2C@5Lh71SbKomOkgYoTof/Tk Fb=/79c]P3cl0T0X4PWeNRb0?:khPCh@X<A9SNGGWh7o^0nHB0P_aP _olK:5fganV28Vgn6nDS05a[Mb@Bi^cfec0mjXOgkkF]`j=;<9PWc1Y_hA_2FSCd EEYV^U_]lmc?GnFC_Jn8LLjC hSOCUcUm?eMH0jY8gP>lGYeejT;ie^D`QoV:VCojJ2KSI=UF6@e_NTF_ U>IcJJO>2Sd0H^U=V^m^LCoh;lTH>F49ki4b];BQn`QC6Kbc7TAT2?X73dcb^Km[ K/>``T[H4i^2[;aNEYl>=Ob]FlDK9k9o9ASC52Nd0[3DoM0j_aU503SQ4FY4SFgF eVhaLC://O3[[:Y7KZ[_[9Emj ^M9>Y@5EmUFB:Pd>9dH@W?gWQUQ1dP:Yh>QIH07^Rj2E@_Ce7dmZ6=PX0akb?]mR Uo7>:5LI?>Ro=471b?PPj7gY1bC1/R/j3mWg_3:AgNb84`o]/ >=Wa/bTII[jOLJnIU4SXIf;A;7>a4CEELYn<27IM`e5[l6fP_>PeWCnJWOGQ3l>L L3O1bnba`EMgd]38<;nfXUn;h78^j4EMM_e5b]HKQ/B;<6Z;9:BSCB_Z1OPa<7?h :ek7>X>9ZDEgM`>NBY=B3n4ImlegAmIL7U=: ?//?N1b^YT/YlEI4d_4f>Cm_L:ehDfPOMOc74VW;@1e7of6AV]f[[NDW72SO=^7j ]k/4I^A>mblERejMijN9g3_4FW[UJe`S3]cEIV6R[C^m8mAT5S4Y@djnkc:lae[1n6`@gn`kH O7`cdF/iZ>l@>kPY5F>c6P^UJ]dVcoU/lF4h46<;:dm@S9ae2NCnFQCeJX4QKR0] @OGKZG;oblE5039U0U2Ri^]]XRmN<6bdE4kWb?:GJHlIEPjA: Q0UWNaKmTdeBioS/lHH5Wd;/Xac]dR`UBU]jQPT`HVah21elYRMDfUc6C=SXJG>h J]fP`Zc?6ciWS[Ea[n5i@cfXU9h8EIAgH_g`T6LkK:lDVX3Qd0F8DMJ]hBASA8Z2 G3mRR3;laXE:gICNmNeGWKUUnfo^2WQ/YeA?5OJl`JjO4g2T`n6C`ZF4^GahOkJY 9X=e[:HCWg@S9OGFG>lXG?S6EE^Z9?IU]egi2dXbKj6>@8iV=A83ebdnC^6f7bR5 6Ic6DXNa3mZ^i4NdE`2Od6>O/7>F5;T4d]DC;BFl`TN_<2o^@4MnYk[KVCLkSHVWcUoS=0<14akaD3@_jS] Bd9dhKlYLE9oYCDRI]j@6k9I4GFCgM;Aeo1J?YLfUh?YleF2OCfk]BIDB3o;;]m=V>ea?GVLk@^YYE7@L^`>P_9UA/Kbok /=66VblGi=E3C=KSb:MS/WodibN:A6XfB6Y8oe1989OeJ=gYIlRm4Oa<[ F^T0iN?DSYPeMD`F^OCj0U<^JY0dV8JK0ehdUE;cS[6RV@:7Re=E]KhVJG4A/h4O Z2BPGW8b0A9A/`ZFV>nRYCTo@0fFee9Zl@VV9VWn[:6C6U:ed:13Jd1YSb>1oDNfNCXO5Z?AE57En`57;?_gS0ahMnogX:?AJf TghM^^9oj13O]O`/oTgn1eQC^KC@HC`YLA8k^K[6V]i9ZIFn7POWl 4_m5hR`cYEL4gL>Wm5mllM27gKeU]9RN^NDigOA][WF=9dUO[]H8__Q6dCkUdW>g HcXAn7@A[/M>F4Bc6[o@ZFeXGJ7L2[oQlMY6GZ>WeY?Mee=DN[TOTXE >LE/C>/McLlED/i8hD_?P@D^TQdP?BU3he;jbXJaBH2CcQ6UQm^mQIFJKJf>?CMGF5BoWmPY1eoWD[4`@o5MYCDMVdIbXY7J P]K7l/:6A9UgdCfo^VnVW[_a=>FGE:jO^a4U5me^NA: YiW@S_2JVmI3mA5Gn[Ekb8cCVV8oKM?9HjMYM3S3>2?o>= J9H`iM`Z;KB]EN2cM;0RZ1=QHE;9hQ?FKdK6/UIUkCnf8gQn96XeBkZcTdKTWC5U 0C1b=`3@L4aPJX>6GkAO4_VeCU0OS84UfA/:n6ce;A`mcYjDRd2F5aH7Z]Z=KBIY dCO;RVLBDRDCi?geb0K4VWjZbJfEGP?5[:P>h?@DBCLo^YoPalEZk326a?M L;J2P>TiZ/4dZOTl7TFUBLocNRDhL>DQmA@DKC^2GMZ2VMdnbBHJAdM oTaVKNeKYQMAbMR3QS1Po2gWi_5`iUA3^CZ8j`PoL81@;2e5NZGQ4a04VR8@GcGD [FV`lBQeLUl9=3fLDHQm/VQb`A52XEDbGXdXI8oM?5CQNSHM9dIo6=QBdX5]VBDNgGQ^onK_:HgD2Z0ID]7S[MDo`o0dU^YD/Q/ 0Y>E4SmJ=YBW19;LGike7_0mZ:m/_5m?HNojHXTW3iYRW=VfKdG1`P[VgngKf0RN ;OIg3mJ6TXlTn9OHBK_B7DPWoNWUb5Z9B6`OQ9li@CA6LSCl`mH=?DQVan7UZ2b<94cjT:=jkcoF?o8Lm]PU8eiDP2Ia[?^[XLnM hW5oGkBlOi6U584SOECIW9b=jHJB6CghYnNn_dVH1[]ai?09BQ]o]2Ac3J059D3: cG;deJK?k`Sj45<4ONd;W2j9AZ_RVTd0=K88=_GnISI7d:fBS6DTM:?W:H3;86A1 VWFTn0NbPIXaBV=Ib`oJNZSG7ZC0KRNS@3;3 nVjbYWTWNUAWPfmJ5ZbCUn0bBYF`3JUC1boIHE4N0E>]ma^GIg11f:DE5N 6IiCC<8eilcA:EDMV^]2J8CLniig_XFj6M5;;dcfE>dJ@d]?l7lbFG==:L]=U[O/>/hWeb5GK?c`hL]8Vj1n;_RDel7SQ@W;YgUbG; 9^bSWOh_g[a[gNkF>gUo>MVJ^OI[T7M/YB7[:/14[1AgOPaL>`VY[CB;B]?eCW8YIla=cNd>2IPS6B0LD3 E>JT>ZfmWW=mLH_8nNe][l<`[18RlXI_eWc@Kc`:Z4eIJnCCGO<3h_bn_WX]W6VmClI[^CHc?QVD^97cRZV:n26:j8m0EWaPG]^]j1EOaiP fk1SmAQOO@lP7>Eg_hLZ1k]V]JjjRY;A6ceBTeZa^k]mi8=QTi>MX9UAHTcb/Pa/iABjVfQk7S=IkCRAo4Q[7VR D/c/gGT1LW:1[l/nVT`3g_JL;CCMDKTgEcA75G^aLi:_eXHa5j^S2LF:bQ6bdaAN 7PgkKi0]R5bdk=mhnEMmR98i5H__U5k:fB?0eBWN4[7/[0B`78joE^>eKNIK;RHaPAGCK>WBfk[T7Tih<G`:GW;`<>^LTZ3_?E Q^RV?]KKFRO]JE/]O6;kD9:KAZ@mmVdP/NYLNWAi6_nYkNm>jW40f`Aj6SHTVAJ6nlGOkoDbXS3aO>n9>NDXaL>b>^fQlFVNCOn jR?5Ni6UbOF>E:7DQCJYNBn]A39_6[^E>/B]9B3/j4_lan/`=a/oESWC4/5<1m>P M>T8@9=BKP19TU36gX;6bh[cnVjE5>O>N3d;o?]aBMBT3mOfG`lO0U_P_1IgDBi; K75>^1dJUM8<:mUgJC/OVKZj2?LL=HhlNHH[_JIncL9Oe6/9;ToV61D:B3IKb/7?M: ;NQ/P_FUGdN]l?2A=@Q?^PM`@m_J/e9/mDH__T:[65>S^YjhS:Z]S0oE_jc3=LY3 HdC;=9hUjKfIWRSOUfk8oL6g7hI^_Jh_^gcbbHk?bQn3mHa hUC?6EB/iYc2^oHO`A<9NFVN1Y[3MSkA5QRhiW<_WM?iBV3D98EC:TUliEQ;Ak<_ ^Sfl[ZNFQSLVgKWjK7g^9:kScngHb<`f9OH_D5o]10mW;2DT;Sjh<>o6fDL0L`Gf je]DkEeenP@AKeR[4A;1n9Xe]?G7maaO@F47M@d[lkDP/Cb9R7Zo3eHEBnRmn1lT]NfO[f=J=[ZBh]X`C>V_cAB3KFXZH/_UZo^]H_1C/3[W8KZ7F]6g0_93bD2nCX l1<0Y>K<1S?N9`oamZWIK:=TS6jlmVWHgPV8a>L19Z=DFnNKn=4::_F^/GLENA]T 3FoZS?j90jf5BMkh72nnl67hjQ4c0B;53oVBPEeTiQ_3mK==0ka0h`Q2Q74^j= fn[>gRmkZ^bD@KRfjo5@RdRiLZa:IO:S<7jaJY2:99 YmBOdW2f6REFaZE_2C6BPfB]7AXJDhNWa0L>^^GRf5;aoEmc`nAlYIPE=;Cb]4_e WJNXCRHm@X^>Yl4fNk:SKN@hV5>nNG?k?BTd1;AW/9GE5hEaokkB7R;P@D ?F//DFT`bj9Yg8a?A>bd^DZ5 mgWiflE4OV]aAK^0@MT0dM[HVkb6Q@_5e0Xi_][VdhJg<6@OMf0T=d03I]/6;1Nd JX`bOOo`^RfYRNN@YUKVA_HVX:=30P<21_HVX:=SD`<`YUKVA_ HVX:=34P<21_HVX:=C HFeU82mFATUDEUD[@de=BC4`82m9M65/JF=1KVM/IB0]CT:;e=dIFeF 83Lb82m=HGQGJFAdJ20a20` 858P;dIYK7AULR0_AVaQM6E4IF=_I6DP?Sh:LgAbIF5]2WP1GI31J/<`44C_nXXm YXLPYfMS:2T17i:F>_d0AAXK@K`BJoWP_jnTU1Ajd46cNS>cd/On_FNOB7m:/09RZMhF5K4^JNad1]ZhSdEdJF91_]gUbhhJEX 7n8PWROJOAn7ZPa[S7OXDf?dK5JDdObKIEBB7e?EZO_7eS>L?a12;CcdookYS a`YUKVAcM79UHFd:IFiTKf9Z2S@h830PKf9Z2S8`=`YUKVA_HVX:oSf?]WGFW^]mHo[H5nKoHTb4X7Fmg:62o89lPk/22Pi1fb4ARQ0dG08P:20T:21h7`LX89fmD7Hf]VQ0ZA0@20;8>C/k`^nS C/i^J3R:5j2:P?8380PH`0k]2W2dPl8A[TRD:bl0h^P8n:_>5H22^l9AkW0H?hVP 801V1dD3[>0fMPPBPGo1DTEH8`7ROhMQK/koBKW3DJkgJ01LmnRNgWN0`908Abl0 36imGnKVj:P9LH83^?iVl3ob42LkAjmo_o5_X00=90b>@_ccED?hGmBhm10@IceK 9?ZONEDdi9jC7<;VWS>OX30oD?Q_27J^bWJNL9Rf7AYZ2k26>;[2ohhK8>jW>=XQ h=Y8Ek]ob@T0oR>QKf/7MD30GEgoWH7OBoL?N_NZo0ENh?odjBo^fQ2k_jglCn?o F0^hUoH_LNj[=B1XU9dW`1C83`CN6ocGoMn?I_lHYhB08V5f21^0T8PX0892@Kc^ 2`C_Eb807d60gCdQC`3LlijV03l2RKjO0KQggPmPSDBAo4C4PO`RH_NmaDD50F8RHWhoMm0j:7_ma841O]_E?L32J5^:1@LPOi[ jmc[AO;_]KGM_B]`^2LLBS8gPhA:Q]RWIZBQZfVcnhHESE[D?fF94SScNPJcfYAM aAV7aT9o2N7321fViinXA51VZSk6b_Li2dDnQNgf09@6if`I`]a4J5;:gb9bI4EN6LROY/cVEg6E9nkQ^ja<>gg6^1c kU[I[bK1VKhh>`FWn^PkFJ5C65Cl3RUjU5Tk0e/Gl/QAE^iT?JkF@^<5M/nmG38U Nj@_@?QaQG`Sj^L65EfD?f]jV]WR_AI4/MQO1T4<^6U/nBE4LCig_cMTI8jU4cakfUG^W_N_>N<1j9L7RdL2^D6oDTj^U^@0jdDY=Ni7_S46ZmNUcM ZJ8aJ>T0fOUNJM9;NoF>iZK7Pf]nHaKac@;WPNeRk^^JeFNBUc7mbn^@K;619KOB BFLe?1S_QDb4c_0M]DR]f6[`/PJ]YKQ1FOHKZ]gWf1o5P0MhcU>Ci@5b:U8[ki]Z 6hcGd[g2kVieUYFa?4Q6WWL9GJEdOboaASR>Q01nOJ=86BkRbGle>^igiTThGZ_J KIQMmZe3g3Z32oPXAF;`YXgXVVPFa8d@^O0EScmSKA=1XeC?Ddgg5_6a8U1@hLaNR8R UBIgdES`bl2Omi>Fn^I@<9b1CI?RVBTgRa=8LLVK;gSb;^3AI;AmEdiKXd3RJ@o8 Z6<>MXPaOJeiO1C1oCRWOfUiP66SRnkFd:dJh]Z_eMCZYm:gOZZh^mb^9?[U>k6TVAfBgh6F W7I7^/oXoQPJ:Chl[FmA?76h:@cQ8gBcFG;983F7=2?hlFl ^li>9_1=kQWhFh;iHf;86_nc/kCiEdJMXlFmVMCN;o00EP 4MQ[Z79ek_@e2jYN49_YShmIMB[WaiLG5j`SX8jW0T6[WHNmHM6;emD_m>C6iF^n VW6@a75[[f]@7@H7KZNW9@_HH=:KK^766ZFBINCA/?fNZmHFhVNblS@JcI>nEY:l1?<7]AFOFkRI:N@?@RYSYd>l_Qn6]>Q[68l9;jKfoOdE?4Y_95@b]_]l7aPlDM7mZXgaX;HQ:5 mmkePhcV1S5M_;f?U0kd/njN3Vkm:EY;]28ab=6jPNN91CaWE1S/HFNGY?P3mjmX6VhE/O>C571RnE=m HY@PS?B``=XkL;SREfQR[4iS_Al_HLH5^]IkWfZY_]J1ae]8>fdiM4jMgAhKSdj>?gAGgGaj;[`[[9B;DL_LK]e66H`O]`Lc1Um=g0@a;I:Fl[S1KREOZNGCF^lC3:Z`>> `RT19I:7@h[?Gn4lQ3oekg`d>3l`d/@R9CT >30RM6HW0ZcZTI9UbT9i;KB19]nW;O=aTYSeDgk2 8kMM^/^ESVnW>V9b7@`dj7/kRSQ2cGekM/XE>M?jTf?NHPj Y^IIffaF9EV@`D:eZ?9`CV :_>n4H`>KS:H2[bCH3JeMWoR;bK^AALLk3aib;PYog87Xgdh;fS;oAN]/YKed6WD nP@RJ3J:fMS1m7KA/Z5k^XSnP@XZUh]Pa^ikgNHn9H^dA5E01hLTYmNnKIcmO8eX PCTSInil_>n:[Jelo3<=RYQ94^5GG4j^8G^LbDL5CRc@??QY ;3>Z_o0ij8iH6?`Ym=_RQl9T5[hNRYK;I@WQd=NNN5Ed6DkCS0?X_D5bGN@C48bfT`Ec3NWe8fo^AP0CU1Xg5jYPQCfW>9gOd_KjR>W?Ae53Ua=2[SVST_m[[]n:PJGj]Ee6M=PXjfhccRW??H^>oaf6ZLQe@Gfk1;[1M;>GB35@?FLNW_cXCcDm9D Go8Wg6fRF9:b9Eb?=maY[6`hk4H5C6El@QQdGAXbSlcdcof[PPOO/o9/;dk8IZS;S[eRJGlOai/iGdeMK?oVF_QO@]_7fb>W0RS=o9J<4Y_8n>K@1 5f@ZGmQ2I?Xb@Y;P1h:LF/Z=@o;Mh`Q@n:@egAWeRRTX@Pa`6hTO>>=k715Zb]MC R413F`<6Z7Ygnef]gAFb;;k/Taf@Bo9nSna[mO4M]C=ai^oUQIHTVc7lI;n5BgilC/E=OZZfC5Z/oBeTjW=2^C1VmVXfMR>KLgcM3dF=2g [_?8]_BASSC:1KSZ=JoWh0o7^7M5_/fb6>cl2ChU7mkh/6AhEEWG;jjF4aCNnIXOQVN?NN<661H KU3kY@[jLWDm_jCgL<[0[179WU6V]jYd 6=DD33>jKB=@GAgZWc:h?e=[jT[o^/Zd7MTbT6SHTD^OglESFSl8HLD]7FYcXFBQ n0D>N>QV8TM5=Lo4JkX_oGb2@h;X@OXZH7S8fYGZDEkWTA`N4iMFj4lgIhJF5Sc^ ADN25ULGeFj:A`H7Ag]QQ5_595;io5RaP2SL;obOX4;I90`WcA6N1gQV;iL4Ni53 2`Z=CGbBPhVdUQ6OVSGO0O_IhQP?c04BeO:;B ]Y4=?:HQ^Jie6]Wbk5RnB =]Rba7MobOc5NZJ`>EAW=o]6QNo>aIo?SaK[IJE/9/gBa[?a7IYDYBmQ8/eMABP< /`WKI/=n8hfE1KNO4C=_YfWDTR@jJYRk6:FTiL9aLdPkNPEnH>;hi@hV2f[/Nkoe Z?_MnKb:H/OgFn`5^^9<[1:7aAhKIo=/U9CJJe8OSC1b2=KKPg;Kg h@?IQE>`33?1G[>oeIXOkV>5^SJGFLMQND5aLHfBY0j2anHIORYD?TQQSRHb`dbO PBiOXbojlGDJiWEn9=53W_9PAP5eeCBEghmYQ]9]T/NiBS/4FZ2mEkYdgaI^GQEZ 7bHn6kO>M9PZ29XjoO4PeIfEb8`Q?563MO=IP1:`hVjb7MM=DI63SQWSRP4J:>f0 TaoRg^eg>LC]k4X/=eRVNFFlChh]:FS^b/]:@iKY7=EVGJkHROFF?IkPaFiWg;AJ5?JTla; ^1V=^e6a=270[:Ob8Xe8U>HBYi3P8J//EIRmhY68Slb:H0QBZ_231?k4[edS4]cP dnNJe1/8<<1l:NTgQM:8XiS5Lc;gTbg2?4cljdJNi1o8eP7m9`hF1d?m0dCYc7RD kZDQY1lEhXZJddJoL:J75P?k5VjYNZG0:6N7Wimh@b/c6DXMe>Q9d3h54`8Ki[1Q PKZ1YQ2PFZ`;a]LgZZAg=RXV`km;e31i]8ZV9N1bL]_@nY]A6clM5?^@8j;^4jIAHY]m/c3KW:XCW@4bZVa= blYJQXXHGHoc/[>n?kMV_WFg4Fcc2:6HHmeDofjH;o;:oOfFO?:Sg;d]GEa^lN 6F5Cj;39XniZUdf0>6DhcUK@A8m41CCZ]i6]eFV@P2Jb0fV6D[l^YEB^Q3cmFEK` E5X`4I90WMN^SEgJ[TndMcN1/LYBP0_SEK2JZ`HV1mES::oSG23[Y1UfAMcYGS//KOM6Y3X]fP?WlVSBE47<;0nd37X T3IJoe0fRR^aPJ_QAAQcOFSP?7]0=0mco527gg3KTOHMcmc5nl;S>_N9eo:AXAM0 2lN;29G6F]lJd;V@D`elYNjF;i6]F56;LUBbM7ZXBl]F_mGIlS=dX/KM:[Pi?D`B :XP:4ml5oB]f3Re[RHQZG0BW[6;F8NgKbNC=LoI87QkbXBM`RBG20G4[BaohcFjj<>OV[MLP 4DL`5_0B]8@bke@MR`N35UDKIh/]k[lXV^=deOaR]fcTBVP72lamDf5ZC8HSWKn1 4Km3]MHR=FFSQQV[RKnc51B:`4KVomiVXE7:IS?CM4eOULo?9iZngW5jAemLF@iA /dUo]i=2gEALLN75Vn7kc>aaUD:>Bnk4_[FSF>dT7H@:C7[;@>KmaLNJa3@GenR3 21ffXSI8^jGn0@07c3PR[J8DiUmC86a1hgSUdIG@olRD3LK5EQ>D99;Gfb;chdQI 04AaEl5H6M7DQWg4f:g/:Dfn8iBc7U?oIMf0Ze[h>hn?=Tb/Aa0DSk:_5ih@ojdf EPg>0GD`MLYmNL^^n3^/=?20TcClEI9G]GOlkK1DVMK5iK193/1n0T:UI @0J>S4VWORihl7EgGhaMGPh1K?BQ3_[a@R WPcO0m7jR8R]dZ4llHC6P84l;TFL1]>YPSL4EQWn`;TP?SclB`KVG`okIXI?Y]/C K^74<_21i?R26iDl=nK=4BT7PNf9nCJVo:Ja;13j^RThMo;6gj[KMSGTljB@]P:O /aK7ifD_bM[SCGMb6QdOH?5?5H^[4I8YKE1P5H1K=kND5TB?FR;>ICOcAklG5SC^Q:mCf/>2l=[HcgJBM@c[iA63k]J4En:^YBXABaBfKmdIo@8W?BZ l7/gY12m:OZUG>c3]?O4J=UNeV^>ag2QC=?gg5EHlO2WKNPE[Q04Nb8RRT@M1FiA ?ZgYT2d]]i;EVjh?YKL9:RUJ`G08WF>eKE;RP9i<ji7lNIO3DWE;i9O;Ue>n2SAS1:Fmbg8M W@BA6]PoL5kQY/aS`loQRoY2]fRSeF317XLbaDRf?n5VOBVm>Xa_]SoZ:XT5c7OU <^PfU]ZXl`d_jSg8f6ed2[;i:N=[VR9:om``fWKRNUX/ShZ1R5DeGOHVBBLKF5Jl F]9`miW_elVZU/TRiCUNY6a@cbchIZ5B`Ci>8MifX_Yd;bCjeIk>hSC`OgVAo2o[ POno0O3o1@fPSW082XedPZ0LB?h;E?@bY`YUKVAcM79UHFd:IFiTKf9Z2SDc830P Kf9Z2SHg@YUKVA_HVX:=C0P<21_HVX:=S4a <@YUKVA_HVX:=C4P<21_HVX:=C3TP;dAULf=U KW@P;CTf<20_AVaQIgHFeU82mD@eMCEUD[@deCFC4`82m9M65/JF=1KVM/IB0]CT: ;e=dIFeF83Pe82m=HGQGJFAdJ20aojRSfVQb2W IfW8H/mgIa8^I@KZRnmkU^DoK?U=o;jiK1>E6VCPl:]WP /4AS8HHWZ;IY^_IdjQCHoA/EYCAo9]UE98ODmFYnlOF20`86mRJPXl?20_ E7U`IB0_AVm^M20_DgERM7U`IB0_E7U`IC4P;d9QLfE6Kfid82mD@eMCEUD[@deC FC4`82m6KfidA6EcHg9YL7A_LR0e=20`858:;eMYI7AXLb0e=B0`858P;dIYLW=d @fQQLR0c2^P@317@;1g@913f_]_LnhHieaWlk;OKQE ;oEo>^Lg_aZSRYU14@i3jWTiPgViN;U1HP0m>D=M0gd>>@dM@L2S0BB;cl`/Q`1K 8Z5`V;`U4R`6h>GQhnGQ1N4c0nCPcUh8Z1d42OS<1`;a0fBLWAg1SeHWIcLT6<49 D85IL`W[mfom_X00=^0dH0O]WZ27hKfY/^S1;Ied87?U??mAE 4NX9]]628ZdQ05];AeO`_`3X`aj[>D9QH2fh:oB_/@50og3X@J3F3S2`Zn^o?N37 4Of3a2?k_d7bo9mjongPB1?S`0Z2?M3`1H=I^20@HQ_ak?aj7QOo_/bgdLMg0H4n`=OkL==aJ?<@n ;CgL_T]JnLV]f]e_`XOON[Rk5@]cDO?b@ZInUc9ki2h Aa7HnKIUXH08HNE>f>=ZboNS22[YiI8UgR=a`HnEl87[^oZiOUTGbNl_?DeC@kS5Q=3K^k<=ZNWS:HE=SVR09ec_>j>?2c7^b2;?DV14YIH3LlG[ AB=C>cY]`UI?fFk^Y`eO]VbI7X:U 9hZkU6OMM<`IX;I4N7M9YOhU2gEXUA;ePLW]jjC0mJOMTTVQlH5jPU`jlU3;1AT] VYhNHn5/QndI68G;6;LiTb2SoHi8b_C]fSBkhj[WAeE>gGiSR^[9:<0/Ri/dPLW` ;Fo3Jl>fjPbYZ9h@6Y>E^f0BgYE;IJB/BPh8[_nK9cSb` 9E>L@lEaDVRj21UTGnc7jdmLmgZ/fa4^39hXn79<3Z8jZBANk]BA :U595N8;gVd3aPaLWIU6KDK[@m;B>anfGn7hLhdGHZd/=REW2BY5;LBY_N6?D[i@ ;aWaVFS7^cOoTmA;N/nbT0d]e=R`j9S>6oF>2jLgF5_a^?3:Q7od_TgaFYGLDgcgoNK=KZVV4lY;aW`jE9g09UP?/hlO8L`TmbXl2^A>mV=P^Mo4L;?ooL6mjV dV4Tn4Z6:TnZGDf0NI6Z[EmAQ[F[LdZk^OYY69La29kLXNBN;96ViLEeOY@TlEgN D7gb7^e5?jUTnHH/EKcfI=o3:VeA/3=nnoCL Kkl52eiGOWWVAA`7YeJ@ScYa?^NZ@CM]C>6[o6[iPd86[R_Ra6BhZ9n?4ek?d/F2 E@=[W?J>aWZQ7UIK>^4jU9SVNI=3R9ac@/5l_jBPFY4O_eFiNAEAFBfd:L[8]jgn /[a[W@4IM3OEM7fll]^cKHIfR@>LGCJkU8UGc6BO]g?O8ZZDIS;nN28KNiQKFAlm0`a``SdUYkQSo40dVei8?Y^mS/4`W/oZeF1UQJMXEm[/_>SPD2UmlaEe=aZ8Z1WCMLGHjQ1 hXn[Re:KB?f2i^NRhla_kkNI^4fEKaMmc3?lB01gGDhgJVPN@Z^;7?;G;ogc4`@[ 3QIf@H1lJhalo?4ZEYV@iI8@naa?JHO8e?YAbPe;2k_]6hYNna5Ee]SHchbbN5^: aG_OanPmF:jSl9a=ZdIK[Z?VN@J2cDTcei/PZm]///@g0E2Bi9nDUNEJbiO]T_?? R5F8MDJmHbE;_FahdP=7E5EY88EG]L?H`>W[N9[aA]WVh1fLmjVVBY 3KC`jUKl`/bOg]WYgYQ/6^cR]W9g`:G2=I`XW5e6>GbQTYiEk=lE8F8fb[cM;OTE6KkYan1H7CB0P`_WRj9S=WY1?Q2oc DD`kP<[LDJd7HHAd9GYC16>^]8XPCA4TT4[/APDAHGO2lZ5RiB2d0l:oY?ScP4c]D3U^92>BJmPM[4Ch?S]0dF:QeEB]E^V0:kZb=VT cg2@/e/>MbBPoGaQN38mC?R`eDLEED2Zc[CZcgHc9:HemNWH9ole6?7h?ThcW S;]2Kh[LHe[cg>fG`nb;nYC?6bSW4T<1 LAjKZU=?c0c4UX4e`fFGlengFI@C1ZJ1OJ1WgaPlV9@C3DO;YK48YPKejToTRA8] Tb5eQoD1oVLAEi=SkNU_VfUMWC@^QRcWc2@[jg2h[mL]BYQh9?`ldO^S4L>5aYVU Bg^51nW:7cCRVCQ=a`e5OOHnL]eYc>QTNJ7434Jk?7/[UhK=Nhd_g_Q^LCV6Zi^Z eFk=Pa=S/9NUgA=k;X?PSjo@[7`CfbX@JGZC[jCGCf2F/GlfGDJNXoE[gA N7KHZHa6];U@9N4hTO/NXF]U]Ibh9FS3GdmW2]O`0oAoKIPm;LB` ITRBGC`nG8e[38?nm[inb7cQHPM?T]:]1onh1SMUDcj^>f8Q1 GT4[HHknmHY/4:GRI`ZogV[_2FH578ebcSjNT;ME7W^Z7X;88ln^3i[N7 iV25cmn^?S5D=Ogf5LeXa:Tn;OWF@K/W h]jnG@/i3DS52mdShgU7U61:86nQh^3>B]JhA_7bAm2[:hJG;WOH`DkE7G5hiMX> iRP;ASKbS1H=_:lgjeAkbQ4GO158joG:eeOGBaggcN54FiMH>jX_XGTkSCVaS7QS L_Nk`@dTNB?n6V[SW6PG@F@eLe@8HV39N;ofYI`N@en^e]fP76?Z=jRaDl`g:mAP 1XQmZcc=jXI>6cZoc:ka3MJ5VbIS9T[:gINlODX>1CCI]:?3HXfmXfdhII;oTjYQg?:70VjN_B]I6=PKL7F?8bdDAR`WenOIXo:>2WUaWDAFRNgn/O9>>2QB/ j6gHjZYGSa/a=3hjVGf4H7C^NDfPPe^^`ANXVlc9mn5U2oY2V7n`:TFDj]N3KQ;A ZRG<1cJPB5FiRk?MeC^NE5f3ha6mGRHRY[2P5B9fh`bhEC5DSSOMEKg@8GSC;mcj NglZZH[_m0:AoBQ^N[RibN[bjY_NAQBP>bMEV^^=Rmb B;Q]FHZ>BDC7_kQK1Nf3OWi@`UX]NMdA/WidAX0oM8g:<`KY758SKZ1ERNGj@A1Z 9^gnhR9`5e;`ZQh]:>iE6C7JU3]UI_:ZT9aLY0Geb:9no4hJgWETV PX2kkO48iQH=FmTK/9OXQQNW`/n2g6?gbHLQ1@aISKg[bL9``?QPFId4Bg]GSkYD mI?/mIF<]Ng:QXaBO36Y`2g=Bih_DVfoRJf[NOZ]7=:iWe5[XY?mN@MkJFCK6LSI C56B:I/l4l^nWQ/SH5DJeCNb829ND[M0_?][?A]3KB;A@]D/>=ge9b_eYjAE?iG_ 9C::NHOP`MLUSQHZLMAcEIKMNkR]NoTZJABlM_jF` ZBnBJEeMDJEaN4fRiYRR5W4dM?RQjNLT`?[D8b4immPga]^cgPiGNJBQS_hkV[ma bD@^]8]`6`A2hLVo>K2d7=n>Ooj/TK3?b_DdGXjKEF`]B3^Y`hMRTP;1CWPk4mmh 6oZ7lZXg[EM^m>Acg7?Q0kMf][MSKa^/X] kECKBRbalDCgcK^4Ul>6d]gY2@bD46/?lIiN/lP5OUHG8DoiR=okhl R>4kgZRbEFfDLQhZan7_UXLMVRn4RBYc_TJ[>BJ@hUBQ 8Oc0[=fVTS`?^0efbBmAa7YcGflQ6W4KR^[gaa3?nnWM5AW^N?L>Yg>e1/i=PLdN FdN9SG``QQ^fac^WnQS[H:0^__>mNO>b?dkSmAPidHi3?8YK2AEmJZVHa=SXI`ZN MUD9mhm>A/H5NnIhH;?gT[od:iNHiGB_VeCYUMLjaJ5XaT6XCf]n_Z]03F;TSX;4 bK8[R[E0OYGN2gRFV47Y;ZYcE:Y6b1mR9NiJNELUmcE4SE8en 2C6`NX:A6F=^gDDEXj@OLV8?nZI9MGG0a;2Q^DmiWK5DTB;4E6DD/c5I>JaPI4]eS21l DVG_lK/]Xa9/BQ2CiS^n>b:OJJ/[J4GIK<`3@onNS5]n8N3IjOg1mofQi6i2JUL[Zfbhl;e/Vd/l ]HL`gm]Nk@5R=<40NIRcBgH[HBPa=NAZD325R35lek3ghFDVNe]Q0D8CLoe1G?13 n?@W@QJ_o;8CCH7MlaXi38haDmZJ=YglbcLG9L4g@lj2NmDaf[F=VK:L>@;Cai=O 2_LZYS;4J9^@YLiI>e1mN>h 6KWdlT35;5875SM6KU0^aDkn@3WO?4ZTnH6A@o=llWHn>`mYZ_0Ma0ZaQlUQhd_c THGZDPdk/Kb:M3OAOWJL3IcCha7W9U/BWY A]baiYYc=g5h/^815FO6FhdXWe>:acgA?YiDodiT@XM1jR/K]fXnNih36[degf4< TgTbEUc/]IW6Q^lV94`7bDZXJak/X[Q_2JBhj/0EgMD3dMI>o9AX4b=mHimAcc_a D7RBRZ_EjD2NhIggB>iIhjcjWMcV5m1dCg559/G;/l@=MNSn >Q>9dKPZi4jKojh001=LdhKNMPOWec9C5`UF cMW@/VaKQgiSgWb5oR2/1Va3lS<[V1TZSgch4CcekVTac@@;2KOWkVFVhCKC^Noh j88PIeAU0NI9LJMBNJJLC;Q14gebUh=S=FM0EU?D/06A=?cI`A4>^O:Nnf@YZ7Vk co[?2Ha8c42KjDGUA2WW^fVL`oRIgUgO?o;JP<79jZ5d>?EUYS^IQJ@aGPA:VWIGLB[bKNCH3ClM2Zl>::2O6PinhF^ml5b8 IdXTSom>:L3f;[HTFmcK>KjDRSV=L;gIi2TnMOQ>a<[VW75mm7Eb>1K6B1f>bGGW ln5N>;^9H<_2YjS6aVXmVZccQ_Nn//jMSO>CW:6jZ16:>lmF>YJCdklBKRaA2:=/ [lR;@Q0B^_79;Nf[0PSVgC`QHocT5Nn=I/Ig>M741m/65c3D8OfMMV2I/OWf=Y/Vjo/n1blbPM:1d0OG=oMdY177Ei_@IE4Vc/Tb HDNAT11VX_anSXCl^^hZK[mln:XKReC9SECFJhmdmEQN:PRUhkYE;lo]H2Qh]l[K ]a9FB]7g_EXDbjn?AChC6HY19SG>o0FB808`2eP1F3@ZkcHhH[=8>bHog63TX[Lj ]dog2mSW[nZ5MeNIoGhSROOVIX @47Q=][Lj90JPeAaCXbcQZ4i:l<>jKXM0ifjebOX/I;P1oL]d9[9Dn[8hEo5f=SD [Dh9]_ETUY@7Ih0F=QS;]WTa7WnBXA? OA8mLWF`5P_F8b:idj?NkgWZ8Y/ki;hF]HD:[9YMY<2_0mIA<3_@V?B[BY^Xogkl @W8;amJOSoNZVNgIaRZ`hjF=Lb_/fG^_1V1a0OQgbK_l:S9K>egD@]jJKKiQeUU RVB`>nehR=ZFEJ67J:Ro`d@^49cJ3i:2_0KQWR6=a//@gP_J<>6;[JndTEn?;EDR _OD?:KTLC7OOUMV6 2<>TOh?E54KYk@mRTI:im=QogX?hihmgFB86YKaXY?3T@f@Y_j]Lh/b2m>gCWTe^ 6F0mR`]=3EM?fJJZnfgTPaj?LZAGgY8emgbMHP@@3m:I=``fEJ /YIMC`YIoi=5c/hOXJ;UfoE9NZZM/J?NS;Z/iE6JJj6EddWR96^>XW_M=lE_n0mY ;4_H_/Y^BG5E;em0YXUh@oSWQ4S_FVhl<[lUcf1?SA5lkD38n]Jh=6=IYYG[<@^P O8iXRTAKf:3:;Jo;W5Bo=Id3e/N7nkSh@g fX5]9AAiLAAC/d7O8ofN[DoiTnfh@`JfV37d/<58`ghPh/i7gIcF=lDY8MVbeFUi jMi^GUI1c`U8AQe[h7:0^=AP[dk0d9>Q=gQQVKSWm=^UQS16W`a]Qd m8GR?@iS1i?:0`3kObe^k`TRKa0?U@39P=@^kU3 fWF`6oSEB>b:lUKXa3RAOoBkM3SWObI/d;c>_TObG675c8TVlTST>PWSAde@TkY^ SHkmiBBK<=ZL_9NnNngm@Hj?5KfC3C^dH@m/oZF6c8oX`g:jGE4AIPcedci]faZP J/AAdVZ^BIHK[P]A:HWJK32iB;oF4b5^DjQBB7jnKYgV;NQoNN7o;o=1okl0j?n5 6EPkPRdAB;RC9L81okl0X`mUi0YUKVAcM79UHFd:IFiTKf9Z2SHc830PKf9Z2SHh <3L:IFiTKf9Z2SDi830PKf9Z2SLa34PCIM82m6Kfid CV5]IB0_E4=GDeIE:d==DSDP;dUdHFaYHd5^IfaU830P;e=dIFeF2SPi82m=HGQG JFAdJ20a=c0g82mCM6E]B20d=20_F4QUJFMXM20f=334PG@YUKVA_HVX:iNM/llIhmmgo4oghKkLZYMJlj/iebM[ e4/a;3IfH6`/0P>0CZZPR2 PbD0o;`2o;clSgD04>[V2h<81Y@9lO880NCLgIo1SeLG=4`j6L@7DG6ei021G >`04kP5`Q]R2GCfP<0l^0ailOWj07L@F3[01>d1LlGWo hZGVJPl5R?n[K>OYmVo82`ccN6@3H?^;7__S290Me=GI5f07]Wo/lgAfePJiP05/ om;`gg2@2lCImnlgoVH:d8;JPF6^ogcE6?a76i^n:lQ=ga4:obL>lE26n83]M21` FdN0?LSI0o`_2XJ^Sm>L8JiP7JP7i2oO07co00`L8KH_GL4N7WlSh4N?oR7SDOhO T[coKb9o=>Z08?l:kMn3oadRh=73?bHlMV^1h3283l2Lkm6TabSog?mi]?c7MTZ^ ]U0kR:/3@41H1022`D2nS`glSb]QP1lo0?8Xb0L0mWVDbL_S2XDokP5hS3P0H0n5 hOlE33n0e`d40k/jPngQ=Q07Qko@?h30gl2O]?n3o7NY2PY@7h0O]h0@P5]0G>Aa Jb5Q8H2XZ430ohnW?_caG85PM_lQo/P9amHCmTP2o^LH?EZ:ooOJ7_9h:/5P7k0] o]``:RRBJ]VLkH8UQ^GC`RS@mWU>m2nocC>X A95nD:=3bOLkN@=U]m^NNCLMUn>/K]G3J7Q98^`Ac1Bjo38eNU_36U0JT[]YK>LY C95F7^^J:bM/HJQ`W?Hm_iZ]?6TGdggiVd/Wd/G`QifKW9kUoAYl]6mW9lLJjGh6 ;SK`=6ZEP5lTOLZBA447[kLUnC;0X>5LkWD4 ^2?hk^Wg]1EhEPe5Q3GKZ>KK8VSiKH`n7HikR k?EX5glCT;[Q@FadnDP?bk:=6FRZ6ad<[P4jCMjWg2Kbc30UYO]/]W^5RgfIh7PE TXV`0f@l54W2[l>WdPJ>:>>g_ofldAa`ROZY54T?nf:VPE6QoEI:9e>ZiKYCUUh5 g?lVNF>Gig0[O/7INi4SoIAEI1U@D/>`[cZVaR]^C;_LiR]lKoAQdeICe``VXdAg S8KV>Id]CUcUd=nm]dS1@CPL4D5?YoWDhS2FoSh7JLU]X1im>dA=j3C]NU/T:oXGd]EdCoI:KQGKXY3gkc_AAJgIc_4 2`eP@0_>h9E]KmASX8TeGcLK;kEXNgJRW4SO_FF=BMdF:bdAJEN3]?8cVH56nB?f oQkmL18^jifIaG7:bYBOl>RK;0kbX5Kd94kUlNCEWO0gf=IOJaIU;X?DSbeZS0Li e/[k?;;?/^9U]GU2To4NGH:afhAF9ocdYO06H[F/La=;?[gX>;=SRRf^>`ejf@57 `nig2jVlG4F_g;;]MZHAbch2`<6QmRYFo]>S;V1KB:EeHVJXJAjnUU=UeI]mDSAZ5Ml/d^:72=Ddd2DY[gL`m6SO3kW:Oa7@_2kFT0AXe5RfA;^2UN` TAeC9VQC_:NCFDW3:CJP[ZF/I;No_0>M;BUmOc[nLnDCYJXI^YicI/D=Um3gGoHg 7c3YgldAB7j_`cgG5fOM7J7FG[>jfOQJlUecaDZeBB23AmfBOSh0O=@P/2>h`i;A NVi8V^Z=JMac7U0YbVG]>hI_G_LRWg^]VXEcnfW6I>7@5iB[3l?OObN72nehYCJj TWRV^k@`R9HSM6H>FPVHgb@S9KT]Z?N/QLFgCBFE5XJmRD3IDfmgngXDhEDgOYWT ZlF>V^oD7USiC>J;DL@4H2FCc1V:2NXdNbGlnbUnXGBH?]2Ui><@XeI:SmYAdcO?Hf1bQdFR2YKR/UC/QT6TPDIHLXK;MG;MA C`BAoX0MR;ijAJPT^Rh4;n>9_VIEFjUH[jT14[TUJfnjmcHk[0B;^CDK?VW/C7bjbk;TdkV ]HBZaYT62TfNW0M4]^Pa66_gPQBGWWg_S_49_H=58TVA6PU2?WNfdGC>mWZhRC3aEdPIe7ee]aI7FX4C7 UiWXfFb=jL_a6]TVaBGWh6EQSW@iRfUAfN^3TRU/NKXOm/nb3:U5TQ9ZcYL?9PF0 O>;`lk543h/` =77MTKZ;knGaDdiNkQBjeC2>P@1;P`LA;gN=GClgV`YG0i:XfFa@@fVWM1Rj2l?: YeT57QbWmf`kLhQPE2>5FijVYjlXcDn=g2V>24a^/IKYM^AYKGF36;OO4[`oeb22 HXR6PYfdmo>G5l>a2JE4QgOLcPOTXY91V];8QHkj0:H`dEABP]fEjJLSi>STKPgI oEAn65>LFToe4SDOK>;m:lk5Ach5ELY5[eOK1GPLn:5S>G25QWEGZih/RQPGhn/C :^7^@T^>Bg^]8PmAOmknB:1Il3]SiMVLZbciLQX]AJGTeii`Ej0;K6GbG_EXlY_= AH`U]Q=/<>]l9A]EO;C:/FT;8FS_GkgFeQe@6IGkOFi^P9f?4`MaUMOOI:Dm22GL40ma4@d_/0o_E/cU8@UYMF>/0ZNSGjl8; 2JY0TJd66DZBnk7hc=;GZn5loSOOePa_Z8QRT_7_;;8adgjabV6Fh2KhE2RHOBc? T:m@cHng@C=QnSfKRDOk6FoC3_DMCQW_`M^DTZ]YdnD`EgXd61ZD>VKb^oUXIJc`5cB_QHTc2CMGU<@>FOM_c^JIA]B2KNNQ7 R0a`Xl56F]QHSW8iYK8jiVbX=YF//]mVenZe_F=L8?E?MNlS>eKR_6c2E@LV Ng]T1:jN]SOBHEMo7_LJ]B;ULkFlBeGL5ch;PX]lMkVNYK]m2aQm>[AAUlU05g]Y =AHLdVok`Vcl9>FVh2^ceH`GXj6FkfdICnEKPd=ZoGW^b/?^QG9D=9oXb[c[_Iec ]nbC3gg:H>cdHa94o>ViTSDImL0//c;AJ2ndWY?VIj65=cY_16]/_PeGL l2J7flO6Lni8n_Q1kkERSeP3;D52lO]k8`CZ:C :iW4e]OfU9YML>RCHVe5lD;a3lD2SF@9SjEck=5Hgck/Jn]B;CWRF>Ydf^ghfebU W`j5`MofbCfeC7oZ:BXh9T7E^>lggfGjn`fD3cVBbAGiX6gYia6O__VUX5cYNFbb >nU3MD=8RKLV6JCLfXG/9F[N`a_fP]LI?knXmaG96_542L^0XoMB;^VUb5T2b/OF SM@Y`U[G>1ZmX@:3jD@Vc^o8Vnkm_o>FMPW>4Mg`[fNOfhGIc_6S:m5HCQ H1456=Jm_Sd<6mUIdD75]LJE[]92ZdL/K[QcYF3JE1]:EBG8PeEAWgff@hU1iA10 aXZX]P7h9AKf]CTY:gZBeL]mBD=;e@8fKjV2gHH^3aLlJ8bgDj;Fe10bUY7cEV/f fGN7SMm>bHYLW^mV=4hKRTQHe8[V1abW0GDBlTN4J X18<[gi`8/oQYf5Xf?4Tf?AC2=ble_LIUeYonjFS7Kek7XG6@BGJggn@BZ4RDl0L eC^bAZHCo`[E3/TgA1cYb18BLAB7iX]?X;fUU`U4HA^JOIJ]a`a_blHn6gSDo2o;]VXcIaUAFmjZ4C R[iF^LUmKeMEdUX=cS?k[U;4eUI:Ae^XMM9NP8:/KGI_n:/nX2TI]ROIll[VaWJI ?]IU8_KZgD?S=IDl2^`2YVkKj]b^6ih:jmiMSEN?YcBFXfH;oORoKikM[aS4oB@LQ3]o/B[D`hk:@45 =51I`oFMKDS4]4F8cNidB6l76m5mZL22DG7heXE;aNgIGJ0FILiWCkd/ng5IFTO5 f^?l;CbI1EU=i[80IF@^/IH3ZKVg7jUNR6A9b^DZR9cd7i9RhUnoeGB3OgOHB2Ak PTJH4DImP55NFGUHl_8`S2i;AbIURhR_4AC6oKH44eV[7gOocU2mkkg^ <4GbOo52mhj@=dj:iZ:P/K:G=V^XTNBQDi^kVeDjPoMWQk:JUL6F2JeDK;54Y5kW `TKPD=BChNNe?Q]R[Na:RZ3GTe6/B0bD2B;h2>F138J;K;CfMgIhmZINa[c<2C0H L?/1:g?Fd/]joIhfH/bLgkBGZZ`_R3?hc^5@R4DmThdHHIhOdSA8a4SmYOeH/mm1 ?D2PVndKcSeFh5FCf4liaCHZEcm/HBi9C^LmSYW]k7f[UKhdZ8VAk1Fc2]GCNPaji:=M>_MC=7jAG==`66PI?IjHKmTdW<^ ^`8TUh[VoTVJV:nQGZ^[@PgZKP5`aUG_kDTg[NCjLLnPUbhaFQR2?F]j2WD1DNEC`[Jie;8;?c@[b?Q>nAmjoQUA4N4m2:`BXBb ZD:00V;5CgL/`IlSG?N=>V:^Jbe4ig_QUkWk7cnWVFfW^ZbN51YM3D?fc;64f0V[ i9m[i:2B9o?D9G;5ZF_77HI<@SklX^8ZeGiJ9cM;Qm4dRKNR5Z2Sk@5LJ] gH[Te;di=Z=mL9fQNlEkSn[?^YKkPU<9RO;XBG5[a/T3Yh8L1POcLN<;/9ZG=HXf E[QBjZlX1J:IeIEe??GL9eAK3kcIKFU7ToT=k6oLLT9PAaA=cSi6SQA>Be[O=K?Ub6jV ]/4B1^2bT4?ERd4K5;^IG=lA`iX?4UD<>2HmFka3]DU:Kf=d8dJ>fkWFEnl5SmGf BEDiE`bHCLBB731DCYVhMWjW[;fReJ4P[G`jmUZC8R;cKPMQMCcC6aa7cmY5f>I8 dAJGTjHW>C[K8DVjg^M71gLK862@=@ehn=GMbN0j84GU09X9h02i3bcQR^`fCbN/ H/X[Hfog2^2Pn^HO<6j6ngK89VI7X>_4GIfEGcDWkYTiffPGm/E 5DD=nPkQ_n9@8H<3ca9Tb?ak7:OjiSQm^]?3j=b5`Ba ]jOY=9Q<;O9S7o?]8/4N8O5kBMDLCLHOcmO@IcMJb3LPQ:T?i`FK7L=/jSNLS;YR nkPZ7iALhbD]HFiVWaBY^/UBEfe<_8:n176W?6d8Xk/JAc5W/33nHkFI`VAc@E3JC9ZQCWMnbObk9RVd 2hG;`VL;RDO0jfbe0L[EM1=n21JOBlLIZQU`F`[e^ZbZ_c==KJTaW9e4Sj^akcE0`?<0KT9]=Qh65Z >?mJWgNQ??5WQZWGN9eJRXV7A>LJL38UQY`Hj:W6n;`cbTW2Eh]@YWGMPKYRQ8Nn=PK5:kb@MTG>S[^PLkEMjbYYn]3Bh;jR ml45S: GIG=/oc:a=0bAh;:XH^K=`D_G>kM@41[iiMfHnFC>/Vn/TZj3Qi_2/nWo> l]`G/16j_YaSha?oBdgJD01A8@On2F eeHUZIDN?M[V?BLA24Bl8[Bj`YVf@?MRVI[NJ:oLK:XOlf^3;jlkUD h6UkkAQgV^HT_g/72?1fRjXJeUR gemOfRF=h2V_EKJY^kPo99M[LKO89CRlZ]DV/=1V9 HBVO>ILV0m`>6UdLTK_ij>h28oPNdV0D1BRmBf Afj8WW_G>7Cc>@cQO0Y=c4[^AB9?>Ni<_5=4O:2Y9DAZEXRMd88H@NgcD6cLZBJk [G/eCSbJklEVBemHbY:>Q8O:lD^Ye0Gii^C`J2@;h=_6JenOEMGPWdkM_>dAK]@L cJY<=O6YDeIcCfjN4fUf2^[laX>M[JW6c`=8FiAcog`[hQnS]>TJm3^N2aPWSlXn NUl>lGXQEScfeK[CIiBjNOe5mS_elFdkj1S59AeZhZHm7EJ[SADbX An`H_kb@>`De@V?BSFZ?0ITXhV26[0W:ZOabX__OgSQo`oknOi_`>=_domm4ffM`B0H7>X2P[g4obm9?L6N2VE^I7=d LVEQK@YUKVA_HVX:=c0P<21_HVX:=STh20`86mRJPXeHFeU82mFATUDEUD[@de5F34`82m9M65/ JF=1KVM/IB0`82mCM6E]EPXd=b0_CF5hEfUTM6PPB0`858P?Sh:IFiTKf9Z2SLb830PKf9Z2U/P =c6UJ1oR89hWfWdOQjX14SNXjLQRcgMW4RiU1^Z;kg^FiCm/nDgl_[U/4iDJI>3`ZfN2`A6B0`86mRJPXl?20_C6E^IgAX83P`830PDR0_C6E^IgAX?^`H>k ^k^k>`AgQa22J`PF><`k=PHn<4R3Thf0;OXWH>;/i0<1=03VC:0S06V@6/W9d0]UJV @92C?MR92F1/J`_hJilC00ad0X9MPFH/Z>c/03<[DfN02M322XC:nPl^>I2i?H3o Wf4c5hMoFji0/=j_9?j7KFaW IN_a[`Go8PDXfI/1`J3oGZX3o2/g>Pf@/H>6YKgcOo]FC]9FkT0cEB]WDd^0^K6] 4o2O15ZP]m=/[D10EG/WZgoD3L3fGhJVYIFY3@SXi?@_1oQFXoo:hRgm_b1Ioj0;ZoILW:0[9gO[/6h:g3?P1cNc3Z ?o[23V1e<0H3@KI0LnMo>7l5>OhEo>N0o3_:nAJeMG7jNaDGP=GDg/k>n>l0=h3E 4`Rfoe_c05S]@L2o9Bn0eMW]Sl/7H0Dj^QSKo^gc0ePUoQI_NK=:oE5_V=9oe1^O iQoeaVD2=SJe0C[oAa;/KgcoR_mW7^a_W7nPfMlXCOlLmPIYmTOmPo6?NP?lZg[o [=4KX=GO7/LKh9m<>=h0kOihKh2P?nX=jdlA>=iH7?ihKbcP?nZ=iDne>MiHo]VQ ocU]h^;fkP0_IPi^M/3Kae_kfMSh0O`lo3ko]eWAL7jk]Hg1IWl?cm]L89VjP=l6 `OV_>oU]ZU7oYLf]gQh<@:0kd1AeMLWNE33H>SDScKTF?fMhD_93Qf9K=Pn20i=k 8:E5nGf/k^LHd`L>N3MJP=6FOOnMj?RKHa1ESd_AMdLfH A13J]_6PCM@@bbj/OJhl`QWhk:a/IV>DWj=fLnG6gl2fcKmja0j8ZhQi48LCR8gf;Tc2;]I1Z7;S :U4[348Lb[0>/KJNjU2=9a26DV47FkUH]o>3U?AM6DK5h@C6MdWh7b;nD^`DcW4K N?bd?QiTJ44BI952MH2j/`;EHQOX75^Jj:XZ?_i2S`AAO4D6:Z7l3 BZ3]N0ZVCgaL8W4L2f2m<^Bdf`cP_3c2hAaf7I8A_jI>=/Pa[=h2AWo04PSW=Bnh j;IjPSI@K73DGGXNK8dU7hC2YCaa3Jei8[Y5d1J1ZBjOaBK;NHiB@kMRSb7m0A[3 j3_n7HFCUCBC/H2i/=OZMe`ZN>e1bT:n?a7AYKnOXG]jMFQGa`Rc4UWf;2niLQ[Q J_[UZRaDjbNf0@hSc6D3WW1n1[S:FGWI5;ONHZDj9@>9Qe C6CgLWWWl]KGIUN5_87Pfi6M@bjml=>11>G]FWWXdCDVoBFOf5`h]R1C9KYiQdVf /`Nl;0IIDWl5Y02cW_6/^aR9NCeNKiiD:];U9[aQ/a:5kY0GPegbLKT?STJefWZa ?^`=9dA/87WdcIla3REL@KA?2`Nf?_DT:g>JN``/`/m;TX4VJPRfbS`S 5[HHba>Q5eO>GeSXU494jMY0cbL3F>glM4AdGkWHWh`lD9/nT@3eNYR_]HdR^/>o dbR=N3PCWfWhcTV4j59_CgWQEi7b088=J;I:4i2FE@Ec2SHXbMV_JS/d_GHPi]@A ieWMj;NiNobolYTHe1Lk192Sde6N?`e>F1UBT`n]:WS@4=8S@E4P =Hm`@D[Ro/AUU=PIIgUo`i/HGe[H9ANm5Q]@?4D=BH@85ZekX>biQl1CEN>=3M0c 2QW^RV/R9BJg^bX>>V]]kl:PRM7m]11IXN[H<@^B16jIl@dQ@Y^gic1Kec2Y62N0 cE2A93k[[[o/CP6e`cX2nK61DG@;k/2=YkmhEigMMXg6@FTMo3Ndi2::bT>0WV?GaSZ0ZVS:O3[WmENUhZYiNBadi5FegT0>MVXI6cP:A3nGWODYJ:4e[b0TYKC:M3mi=i@;gHA7bP[J7WSNC_0 =mjbY0N=2:GlFYA5BCS=>HYTh=iAPk`<^l[ZGO_lH5Bg4;aUh]A4iI7A>;9MU=g9 D:7/lJjH`hVA4AlYR7>g@hVPjm5JE@ZYBGDjW]c^2iSNTFN]f3hXU3nYZZSJ[O9D 0]7eRk]1J/_k4ABJABW:hf29bXn`o4AFkBH8O5gfKU:VjNN3Dd7[=: ;e2dZhY/^B6RGe m_6Wa1JYa[gi19Tb>_mAkNB3G5g^BbVMP@caNB?1j2AZhIKlSm]eOXWGAmVn@5W> 73^4IFaEf4KH2m6QD]@RlKhPm<[;NAVJPlSIERIiNkiNgN3/O9/7B`EFgjR70^[g aI6BQKiP]I;RLQ?UWXn[L?DGBX[i:[A]<>BkA5fKT6VgoQ=`PIi17SGnePe=ihVXlcabWi;Ei_JSZDM^eIhNG2a_k6R< AmN=aj1b`8a@mF=6_/17oP`BC/e;1;[Wmn=_LC/YE9I4_?PS>ZE:U_TcJTiXM:?]aXj4PeQQ72eU_m``m/NRYW QbKcmL_BAOGTMo@0f0O^2S]RJmO_LH`XH4NibE?3nI4AGRNAD275l78UI>EQ2<8hAZ8=:Z`oen/d__WOXX8d3mFcLk/UM _dIB_Y2[49[V6=5J@]C@84j59e;fa27^kWN_O>XaH2BkP>[0S5CJeZIXS:V4E9T/ 0To2kHATN][7KFNcEL]fN]9cCCCWTc^B=4ZmI>JMdD?RhGiUhb3o0kYS:dUPKoRP SAnKEWX61JHG;bkbRO@MQ9hDXQ<>2?/U/coBYT`E2GTW3oCSnjDKQd_l?QkEb`gD IVcBLR/eZ9?a1]2oF1nkTZBai 0AFXK=/PdYn2BbIamR:3njVii6==JmRlHOY`bm:FB56C=IWVg55O^YWWh;R=`_ki d^PZZ[X1AHPMc7NmTHTRgC;D5cO6hCA a97h[PVKRTbJjFjHYhmmi05bn/kh]LdRlEH8S4dMdkR4faG`fKeLHVfN?Mae]>WU a/VM?PUKGe;N_<Pk`m6/H6`nmY`_KDkRfe8:[XQ6^NSETY;kW VZEJ5Z[j68;P^YnX:61T:_^_Ga@4]a>PT> /aSPg_:09d>OGABFL7S]61]C4Oc4kFkY4;DoIdVKo]7:fUUQkL__f?b< ia?9@WUceK3:/FaDWAbl[e92XmM^/i201N=jM2PEQh;]VSc5ZZmdP]6NJ=KYfU71 1I_>5P^JSb5?ZYi9_4?mZiSRlYo/ [^GGUbEiQ3cLBoG/Om/k1hDKf;ZPS?2E[DJ?C>BC^`Pj=ANnT`J]L`0:ToV6KS[/ >;QMBmP_Ed4/OI98nYF4XCAHoCA`1AKI/BBc@9bn8LKGWZVD7>Le6kGV2l/VeWWP jGFTbc`0f=oEf]RTLi`eCbR713TUQ]bmWI1bLmcB:jMh/7=RX`O_`KB_NcM8ck6^G0 ]:cMSmhmgEK2ClI/XSWEV:>9ERQZjiBnZf^bY]VQNJj^TiQn1`agO_E5<]Xa`VE= Ed?7kLDdSNodUbifl3iMcQL5P4W[4Dg2@Q:;S@gVRGaHWaXaMgfYA:NJ`Kl`FYH/ C0Y//lEdjIeeU3LSHj3iA3lWP38:5JgWm5S9VF8>l^mSUJ9MI8KVhekEP1enY<]bjg;: X7Ycn]_TVDg0Th/m^K7jd`gh/kPJ[3LL?dmj5jK9P[j8fJU>PenU89kE4S6EIMEN1 aUgY]dC]VBi;JVJNEgBH?mR;AnccJYUbUo7=?_JIo5d6ak/F1G`lI_6i5hncU][g [=BAjJPWk:d>mk79BF1cR32h?Dn>/lfQ]=SQEhO`ZJWao2YHJ@4U90/Cc6LgKHPC G2P9CIj;[YQTC5HgY_YcaRI=BT>5:IKZTQnj4C32eWODE2hR0WC^GcaXJ;Qf@_65I8@SlnEb>VBk/1[1n=@IR8ARC;X1l[2/;A0=H7gCkGB 1K6dikgAN>8075LH;W6QAFikS_C]kAN2;9LIR[:UM_7:0Yb?LKjBNSZAJ3>NN>QI :W@RG7dD>;9U?f^3k5]WhP?G[nLS3k=]c2?5H;XN5C<oMl7c@8S8O;LC DJ2:;O`e;cT:;KGOUoCI2;4fg7IVCVB[MZfC_nfEN3ChO0e_;1QdnU]TeHQDNnRk U;3Ejdc=AP>1m8n;h_1LM8E4HaM?fA11J[8O;HG`faVGkf]I^P_@eV61B/dMP_XK O1TEXeeDbjVI/3;eYN=m^ZD5nk@X@;S0SLREl=SW@@Tl;HK6EY215EM3GGMBQWV`= g40e8DeI^?WB/:T=gmTOM/V>6[SS@3?^RbjH@3>h:;8U0cNF`0OQ]j9L3k`nTA=E cNAJl?EHkkNEi?HmOLT=15ikn]fl?f9n;BecfXoiAZI GfcbYT[[fTol?Ro8=SdLLfSQ@R?Z9bf=0g@9MaJALiIVbGSTI8lE?XlHmRbTBF`b=gWC c8I0;Fmni28BOiGH8U5;h>IFoZYJQPLc3IT??d?`@<;XmNPh7VYOM<;F4dhfYIj5 DDjY/=;n:P5aV;H`4Lo;W2_ZkXdd;FR<3:iiE[_5n9C?@`H<6Ah9>hEZc9]kELimoUJPTgdHE?cldOV=^ G_ackBWe/o]?TE9JN[h7Od=bXVdE8lC3>LT/?l4<=MT2gh V^2F@>O722YC^kmYaoBAMcTY7:g^`KP]8TlP9]G>6?f4YOjY:a28OMOO_9>OC>Hc e]db5fWh9bDQlcBTQ7bDT/_k:fn46k^/o[/N0]Y> 9Lh4/K7A0_Dd:2NFLGBOI`jfbNeSdggm26_>CX`PTn`K[L=W@Ji[f?aPZm6_3dGG 3Z_Z6AP;gnaZMB5=ObUZLUhh4gfE3@gj^_2Z^=2ZQ=F/f8W/LBIeJ`nE<0[DaSYC 4;E=cRfVafkHR>:/9nfYL9:/Xf`>g1^>gRdCQZh5D5b/AG> :;Sb>ZIj[=V>SCR7nj:iAG@6Ee7eQ1MFm3]45HD1kBIBNTFAj:j=bA;oXBgIZR@N QBME3R89m1AKbRSbaG^cE/DP^@RFL=/JK^68EfQ3SCN^MI>4S7R`8kCRI=j:GVCN /FhJ@bJXZa1M?giULTW2g`ZJ=cmcTcdYBl?A:X^h;SGC@aTDMl MUSWO9PM]aink/8_kUPOKh_TfokiQiTnG=aNo5B3K6H;Do6Vld?c:dogBeZVgV3E NLg>he5^J8=2gGkm;mBUQ;:4P:^^ZTo1Zi[f_d96=TekjkkV_Eo5HXBPYK1Jj_iQ gN^V[ah=WA/8Yi>OIn@RLCJGm8I?EQ7PG^cIOLa3e51nh]Q1gBh]X GmhDJlJKUV05hU9=X=5;dH[SlieJC/fnaN3NR5W:4clQkc:>iMOJRG=KdB71m;^@ 4RY;FNSClJNiiAODm?P?ed_>6UNXCC>GT?^nO479VDZ@YfF16BmAa1kTlaW?/c_< 6f]HbVRS@Ykk::gOkK8oj0QmLGgmU;c7<=TkieEP=UY^3BWQaCTOA<4PPGCm[ORg Png>[OK9E^DlI]nXNNElhi=]TNiX2]>joiM[9e0QT[NCNDbEmNEKi^9m7XJjaL:1^Hmk9Ec^IK;Db ggVFXS_?FfGXLPm53aOCSo3^XGE5Z@L[i/<`IjWb[e^e7Z_>V680AaCgCHO0KYM/ G83K6_[_Yk6C>^KWSGMCD^N6BNQO]F2UYGi3UJ:/XF06b5IYZK@c@oZ@4K3Y4Heg ?:VEZ0fY2h`TP/8VeL5cS9b?n@G/0LU[D?[kffa :3h?7HJESdlCdhgfg`7_IF[]nY2PYPIgOmPYFKn@Cf;PQJ[P6A6/fWZm5U]_BlT^ =Vo:ZMM?HD[FGdCEmceCBIEMDXK_ZG`CENTMROfQXQhmfgoRbhZaNYf^gin iV0Ujk:L`g^>Cc01jgHODokHMQj3EnfgWC9Fg5iIYP`jM7_E1m_`JOR>lg90N06a ;fO[58lIKl26>4UKP3iP_A6>D^MM?G`QTEXG=UYl2m;L6a?/M gLI]6bQ^Pi>h/2b`JgEjB`n[5kmih6=m=VBPH;;0kXmXLHeeWQ^4=W82]V@1X9=o 2nKT:6[OYBXRQQ98_T8F^Xa=KW;M=Q:[B?9JS8Uf58CABoJnSah9E7JQGEI/NM3R HnY2obUk24:ADUTo/[b=JdY:@FMHGiAPVNMe@bDBlBO7aXMdcF@ GThUFSe`Q3clfOE5EF=62_C>T=>eLYeLn/jJ;bf =6>PnW==_P09iaYJ69Tjl?CKiRiAPI5bL]0YWSkZml:Ok20BN/=6R^@/9B?P`BUZ MHDn6CklO]62eDjbYF/B ;IF18XQle>Pn7BM:fUgQ_K9B@7iP_h0[PYgAh_Uf?3HVg_9A4W6=n4BQ>j<3=^E5 Dgj8nfCAlhF[^a93P5SbDi3cK5;go CLRH`@[:UfCoaRIFMI?SS`OFMOUn>/8J=5bDMhTXmCM73a:R`g;n;bn`PEkScF8YfKC`k3TP>7JaM6>kZTPX`2`D@7>7XAO?30 gJ[de]i0>kB:>X`KIRO:>3:aS[991F6D=S[^dI/Pkken=B5c^^KSg4m4iIOEHCCh E@Da1mWFL1 I7i5DUCme6BN>T>?95:g[<3/]H>TRoCfJL8iOQ[UCi;/D7jhL63eZjF04>:PedjI @GeBaIJJmR?BHUKTc=6]J3URFc>NYELjHG1h>BUj`F:6UW>dL;MZXHeJfnikelFN 8AVMEJZ9Ckln?3FgB/[SZYDlImh]dfI08267_U^LD/UTDb;ZUSnC::U6@S4bb/Je PSF?oe28YgY?oX;W5:U4:=iFdkiIi8Sea?8UJde:KC^H`Y hg_S>O@dU=;YD@E0ToeF<;05YGBUk2XFG] JLmHQ4@fjg<4FOI?;mD0I7E]`Jo5LJ4lMdU^^bXc:1JI8OOc0HkO>>Tk^4d/mW8d FgLmNi;mNJWX68G0ji@i?^O6boWU_>`5mnN9=a/?[41A9L?XLi?BhA[U@fScCFfd^KhcjG@8 UiNc30[CWAOb]^D=RP6:EYW[V;H42ZSjREO5aZVP::ZLCC4P3AAULZN eH9TQhTVMZn4lME^Jj/W7II85Z3/72n2YA@M`<@n8mQSloOoQL0nfAEPRYQZ;eiQ LCaXR]8kGQ0kL6`U1?/4ib7DiAOC`S@n15G63XcTP9?4Of P0f8?mk7QddeSdNi`K3o;koj;;YI5na5n/0JQ>b?BPQ VMl@[XE^o2QS`=j`>loU;dDLFmRV1klH:K2QZ]4IiENeL=A eCI:9PE:;Zo]c6`>HFcnf8HGD:jKR5S`QH@lk[4HhbE:LN[:iJ@mAWheFC7UUEAa =8mb>mZ]/S;?_iCDIi;onRGdB_giWB32J4LILn/hHRL]0VC]ECb=kYC79kbabG4= TMk^>j?J/6KQK=S`@eBZW`@SAKoI6^Ma=W7WG/K4N_`@DOMb_m28D5gKW?KJ`aBD lhDHI5:P2]a>6XJkjm3PdfWNUK:OSKR6_h]=HP5F=]VV3dLTEJIiaYTB^fml]G7o]ggT4Q>:X8UcgWE:e>M;CoMR3EHZ?lDWJHb[:PfJJV;K>9 ?[7KIQO_/iBT>enEkWd5l_Y? R2MOiVZgI<^o_> H==c>aT74?D:4g?T>Z8K[MZ_K_3]S6/YITLMN=8[R>9e=jUno?X=[/WbPZD]9aCb Qhg9hQmPAK`DP]>2o5CMPDl]NYf]:a9ehH3B9Ljl:odMKHAIJ?M6]TL:ig0DPAm1 gK6hD78J[?BTT<6?KREUk]AY8DgBKXf`8lDO`:IAUiZXon`=/8F3iUjoEjI0F h@B:n62:f:^m2e?8dF=WH3H`OhTLBPEFd5XX3Q7ZE=A>T[GiT0Y;[;W`C/h2?I_m AZ`^:?2M1>S7I39N]>O?;7VoNhldeh>d322m@YkS/m0L:8fT5J8B8@Fa3@cfL^Vb n0BBPkH@YB5^Vn82cBhW]?7LB9m[ChnDhc`o9@W@Qb>fDCe3ENe:VLU6?L/dC>S] WU3E`hGDM]Lk?bDPB^?hQLOa1CQomCAZWGC6i/Sg4d5BkoRPQ@?A_S5NGZHO8m4k]Fk0;W:nOoU3J6;cedQW n]B78McF8<9O[NPSXnD=I;C>e>oaia[I1R<2A[:IjNaTUmBcLJ^/F:]1]lJ_FELH l:>1O0o^V7K9`cbW`dBL[O_D_hd9mH:0j8R_R:9/:2lQ?lji 3NTcVTlBLlhJNin;ZeVZZm0Z?H>gDEWlGH]0ifO <1jdNlo>b1nnT/WJ ^7]F1bg>eb9Cj88_mE]JL0cfQ=J9^W:GbYA4Vk TKZiE3?2KKPE/O]IBWAMXjb]dVcO`/l/Adh_>Hc_/2mG`F5E>^noVO`kiho0:o ?Q6JAj@n@H6ATO9hRSl5K66Q:GoE00_fU265]5=ZH=/D7NgEX3R>Q3hLR2d7=TQ< 3T7SaJ6PTM1]Sf`D]D96K>9JGW=Ai?_]G[cQJ_gRd1dMAMmhZ`5ag19]UTdf/IP15Z`YWIl1: >gHOg^7I]lRY[N/C0_;7fbZ_@_[]SXTBc?8VHIIbBCXVh0WUdA[NQ0JX]CRJBZ_R SKIPGD/J>>e2E_aZD;eh7Z93WTgGh[O=YGlg1FOcS6AcT0[;>aCMj_ciQ:[HDK00 NJ9i?LLVk6USRDA=SXcM30P<21_ HVX:34P<21_HVX:?3`P;eAiL6DP ;dI_KWA4IG=SLVU`M6mb82m1Lf=UKW@P>CHi82m3HG18IFUWJ7@P>3Ha82m4IG=S IFid82db=C0P;dI/HFMc83HFeU82m:C55HDD<[@deB38P<21_HVX:Fb0c>3TP20`830P<20e<30P=C0`83D`<20`830P<20`830P<20`830P<20`83Lg>20`830P <20`830P=c8b2S0P=SPa83He20hC8PB1M2VE^I6mRJPXg830PKf9Z2S`l82mDNG1U82m6Kfid82mCMF9dNG1U82mDNG1U 34P<21B 2RmGJFAdJ7

38P<21B82m6JG9cM4=XHG8P=30P;daQLgA3J65b834a=R0_AFiS KfAYKVLP;deQHe9_KF5^AFiSKfAYKVLP?Sh:IFiTKf9Z2SPf830PKf9Z2S`l82m< IFiWM6PP>3LP<21B82m3DP<21B82m6JFadIG8:;dI/HGAUA6ESKfAU83hn2W=dLVEQK@Yh0Ned EEALkK8]6Ra8d0@BJ=aYg0W^kRh===18=cC^`Mde^1?L2NhT>26h>b71GA;P/_nm mgo_f6OLYo=b7/iJ;f]FOEGOW;=Z;5Y:6ASDAL_C4Lc1b/76;PQ@DM9CTmAQUUCF h08c/G01aAdMk l7?D`M7E1@aW0LQ3;MP08:PU0>;R3;27F82QcS2h<`/0I6l?n:_>6@07>h?QKV1; =V`>3X0Ua<85H0jfQT2aPOlP9@nePP44oQVfM7GlMlX=37MnIP=PN6K7n=`1I0V3 fW/2;<5FcfF^m_HZ80L`P>4Oo?m;5^@0/OOlEoiO=07:<4/`7?ZOAgG1O`USd8B2 73E]H2koVHLhbd0l`9IZ41L;6h0Eb=hIo4l2f]3WK_H@:5P=iPciQfT0m_m8J=U0 ;>bPH6OWOfG0c`KmQhQWkGnA1?jo/oQ;WaX8l/mQoK_]_hL7N;K_;`>NJiE1;W28 1l2@WHfMWH?mnNCcnoNWlGmL9PfeP5U2X=H0CQiN00P>1gTn7nMhAS`0K`h0i5V> 1`3/lB`Bb0J5^CcO0GRN[Ro02PK7o/M<>01061ClSmQOT1<0M767o@fi043a_`4g 06Sa=n0102go1[`0h5m]of[11`3JoigQ1`0Mo`H2023lKo0/3>SlOm4c3iNod7ne DT82iP7`I^GT0k1blSa[hn3T1?3a/?_nohc@M7WNFA3LlVmWWTESF[S2hF2Xbel[ nS`ak7mQ:lScaX?17V0;kiRiYY;:naoP3<]Bm7cZF2ek1cMg`1Yb]>:N:8>lmWK:4 1TB^^=3RReW7UBje:o/8[^/6fVPB?9MiTFQe0T3JC<@fK8:l:=gmfKYT576_n@a? b3l<^:TQ<@fG1@IVamE]T;[1/OnD9KoFO8c0?5/X;?Cn5LUU9NQaI?d^d`]UV=Cl 3UTcW4ID;I:MbnSWkbUFhC;SY3;?J3OD>0PPn>ggFcgSSZoO3OD;JXfKCL5hWZgG]HfA=9U^dDE1EX[ G=b]aO<^Scnjo/P_B2nL/L83:7DeXiW7fcMSnVSDeYF?Q7N_8^D0;i4FB3^R94mV TW;AL]GGNM7cl3T^DY6Jg8//kWE5:b`G_@oQBI=?[canTgS=1306oa?lcf7i`LVIIQdkc:nReZ@L[?NmkWYeLC8=Pj@mJ 0gEhUCG;I9O^;j9URlS=;g]H@>^bKN=;IGlHMhDIcNfhgLN56U0kEM^ieR>nIDJ> =A;0Sgk`Ema?_g?0G?VPTWZHh6_/?We_GR5 3Odb4@g_OJ5oJEc:IXm7MZ7j@hPQ/mP61h/g]][?U50RdW9ES=:dFDK`iN>;GjARn7on>T Uc/Z_nFIkj3l/ib1eJkNW;QjMiS;_Oon>7TkP=1=bADcC4Men;h>Oo>DQ Ln[moN?;g5TCl0?oSkJK4AI]3VW:F5a@o7XXgm6:WB`OIhdg9K>07 V[N`gK@g68PG3d73LS^X`;Ue=U=@34Q[3>4ClK]a/mhRinW0mV`;gf@jSkKCnR=YH<:S]/L7?X9S=fk6c6c]1hGbGb3em/?_RIBhmZck>Y[E:IgVmE[:`c D5mBWGZ]=U]iL_VlE@O0nHR;b>QC63mO6a;Q8JPe3UF9_SY^HKLMe>M/NjnP5o8m 73jnKLOWN2/]7U`GQSM0A:OVANT[M4SGdXaE_bPi5WoIMf: I0XQ8WcVQ]o;i=]=QRNjP[EPN/e8ZHDH@i?9/JC=PO:?VHL9Gn?T=;C^:3;MgL_e F0aKHDd=B@7hej@monkcYGGF/=BnKM:d/H0g>5_2Wf;/?jK5Y5@[b;SJl:G=/_Kc Qi1UO5lE7Ij3fcA[4ilZU[5XRB6g@iFG;XP2X@fhO=fN]MaIUH^E6gRo;YYcL[ZD 6nbUC1XDfaUYIWOcCGH8EI_aMWQ:IXIJRJD@H>V3On07^Ao`a]QYm>cXLa3^ARl2 Y_3F20KIOm1lMDN^^TBJ_MY?IghERJlgZ7@SVgXi6n?KDkMg[VoTLVKkTIf[=gK; =X@@/oiVcE:fSjXHCl=mIUWe@=k3ME0H@D4gJ?_T?A=ZmSf57h<_dS[G]]oimX6B >7N8nS^_:/:OA_Q@T_ho1^RLe6Fd^cR0kE@jnV;2LEA`UUNn7^Xha/Y`bLgf:fRA e/Zje9HGZW>ac6j2leO/?8B:@nDLk]C[MccWK2o3RDjoX10[>nPAWOOk=QBn>kld @6QA@3Md:;;6_bQjW=oPE?@O0B:O>^Di_Xa:S/dnD5KAl=JmN]18On5/R=k^HGBYXhYh:G[8Ze]aV]FTR`;G=l0SOF=^l;MF8V2MbZA 8m/0T`FdZGDSF?TBDbUELYLI^hG 4kFCiac_bLIl=T?[APToNBaX3>o9BCe01?GFHZ2jT_YZmR:eekhORQjO=L[aLG?^ g[O6oMGM`PaAW5k[_IGnQ>kmTJl0b6?iF:]7SRgojIhZ`n;2/GLD]NZ<:DW08OaDaJbWo?M];EQ^Z_WlMfhn7IdE1E[k=<4_RQU[ RKN[`m:hG^7=oOA8]4Ho>Ih^l/A^lXl67bfX;IDX[CSL/5YZBKOL8ZEM1B4=i@M@ 59CNRB>gb/9H1RoRE3G:QFg@@>N@KSkH_gd]d>99;nCPhi6bf5=U;lXBdZDEiTfi lGeYE@h]/DDPHFVH@5MeULVnn6DZHdI?M@ N^i_3TDDZ0md?H2[20M42ae7WH;>hc_iC97^e]b^daH7DfP:DRIBRJ:c3?hb2lL2 GZdE5i@dDZck0Q=KScHULX6?0kHK[C^_FQP2 LdIU_f?ag5WOVM^aAfnM5?e0ajbPA3Aj4C_hi?XN:FQ5Gm_lg_D=R@QRNZPD>V;] LG`G^Fc2TaW JE>kO0Ua3l56ag_Ke[=hWfHUC[5PYhE6M94`1VNk5;nF8E`a`J_N9>L:OUEEJF8S ]gXVLIf/O3oUGcbY;QmgX6_lOBWNRC^h:oM?_jgbOH15X@ >LNhOZ=[8hHYQNhL5Yk9cm^O;@hcBVa89Qb_bPa;Za`cZfoUJM29XNMGMAFX:nkR 9cF6F>`V4ZH;_5be?BBWSf7?n]UDgOmC`_SWi^DcTL:KDL8ng43`B5J0kJ8lh`]al[3 PAoVRHlTW=h7PTc4gfAm7:mWQed1So]N8LYA61H`0_C=Xg:VVZ^:ih==;VRX:O=8 6S9]SGMgNQe^T4f7k2/QoA8b6Rb`a>lEJ@RNY9JdX]7 g=`Ima7JLi>F8R997GP?m9`PiYmWN]l=96eBgVShbRgT/MVFQS7M>N2[Y6>d`aZQ KVN30^eNHeYMm<`T22FL;PEhoCRMY5PD1FElPBLnWi35C63@ M2Z>bgjSLo`=Rj2jA/EZ4?UQg;=G]m/m`^@ImiJYUO3fYZ2 GK4G<9AClg:A@lS4F3BnfSG4VdWH5Z`^OhGM2@Eo40GbRmo;B[8/QJZaNU:SPRUT^NX_ZLSekX0LCS2ES?A/H_i4TgR6fMZZS1HWlY2Yg0>39anVhJ3iY 3eEMl385/H:7TiHWX9G36WmT;TOiD_V5A3:ISGm19FKb2WYboc]4MhG;37OQI io_Ij4]GkVMoRj[ZV<[DD2E3]n99BU3LQO[clRngUfii[O0AWgZA /=1VhNJZVcYTm6o_Wn9U]EF6=WIb10h4iePH`eJdi>QB5F/dJ^8Vi48^MO_U@TBL67mYD>>@4gVnBgBgSPEkVhI5g?^HVNThigZa0DOaMLR:lZg1O6a9< ==S@7`[f4>N_NmR:QCaeEE^W^<^Kkh_Aj20b0?V2^3>]gW[T3g6Rh3ELL]8=Oe0L>37EKQ?VWG];k[Hb6kTANRCCg =K=cnkS@YUVln]He:XAnUa]Z`^R;GTGm88ZiJmkBQ/iG5XId:01GV?PMXSLEY6SL MXiEaGJIUmfGQbG^8hiUHP4Q;7F`S8k2PS2NCRMWGFZNMeBL6_1]J/YWObB9FbPa D8a8Tco]5^Ykn^Y/IYgK@Ca^P6c`FOdXai38Dlh7fFdQE/MF/W<@UOo3096d`K]U =Zm32e4i?OYYiLAg`Gg>eNPJcFaUL4MB 54OYMAT@9g=Oj4V0=^`]B9d:>]:=>]D?iSA^Qd>iE0SUAEec:M;NljUoD8CH_hDm o]CeogBTOce@T9afK>Mb5bXeXjcQBV2RMmDhS l_<`cSA1V[[f7^]GCV_YX778Y7ben1iLZ6PGbm=k4_Oe/B4]k_j^/H;lKP]Ra]16 >;J:1lG@chPgYmEJF[nW4CU/iOP[bIFT23kkLK=WhF?4mnBCI7d^koEQ/]]L =HE;f8^h0F>Gg/E8b:PE/kP_H/@/Vf`Nf]@eIkNXR==eNfkHQZbc Nae5KbmD8CU8g]nYVK`kg0A< :8S2MgN`cMCb96mcXmedl6DC/mcK?ba56Q5=WFM;NC5Ce2`LZE79jYHInDeaV^e 2oPo?RXi1lUcc9S/D2BZHYQL<^nU>kZ?K/=:_llGH3N@MeR4R6K4 _=Cg`DgVHBjiBSBoD>dY71dW3?=B@h?5ef_^ENRkbcg4M:BCe:LQ5dUaIjW3O98;j:;Cc0n8:lIIKeH6D=GDIQFhe[jC/9?Q4loQ_a/Y=2[Y]6[aWXfKEMO GUn/o/0RK>JWSAkaTOiBC]bU73Z_CG=k fPWZP=T=SgHbAM9KXNRgo55d332_mA;e[Nk5_5D/AGLnR_g5SPl4RWSOZm^KB]M2IU[5Rm90^Whfm`UJHX W6iCHe;i]PC=ZIE[9cfHFjIR/LcI90eeJH[jHUcne>aZYL]HePa;S9ZC5U?9TLX1OIlQ>FUGBo3akNYJ YYn53e;RVX8:W`9>EXJcI/b/>2NgD?=8FYbMoF]Mm7;RWRXURFAdjbb3b8Dm4=id X?hFKZE3[PFj[3RN3BcPK]8@@]MaWGL F@o7c=i6LNhUkJKN`Jod>fHngDSf`1l/Gbcdc/;MoEl0Aj2f9W:N:>NP;ID[_P`j VXhooLSL]oB1g0`CN/BI5?GaBnZXa9>f8eLmn7GAmeXG?i:fDF]H]XL82FBhLHWi dWk8QAZffWmaTP=A4OMid0b0O:cE_a5;DJXGiVLj?]VYNGYnTm9T=I@7kIok07V= iXI7InL8CKPec68ggV?@[Km3WdI6b0oCG35EZ;cFTB=NP=KLINQdYD8SYWE51hNdj0RmXo:ZQ :6`06SaBWTbR6XbgB^MKW5N=kP>`2:/ZdQ3KB/Iab=?Ehd[[1:[IaCbEWanbd1Ia3R>hjdcieBH6;i/?5[TT AM2mRMS]dRhGEPnGmFZN4VfTcaS49OF^aMc^edomMOGMLJEc^9dF]I_ji9FnS=hA a=U1Mn:X5TNT7;WQQ13J3E^`BnRONHTn^Ie6ZJXK;6cY83fXY918?nkAC2hmPPbW 3EehNj:NJhAaFYnmYD4L9XUnKd1S7k=/o/eW[H9S0j4aI4I[6^]Eem/ON8G:KP8NkUoE8;TlA_OdLMT1BF@VcJEIk=[:YS0HBb[ahJG[N0^E^I[;cb`:/3TCbZ3OVREB6Q?iGAY1^lJeh9kI bEWP>o;k[/nR4 g>>QE[7KS]d=?4;ki_3ULG8cnZAF=MZCd3?4T8/FY?8XAF7Q8EEORHA;n@fB?9cP EKXYcQiK14SkZ=oY59:FZJI?=1j@m;>Xk6;60eWni7gCG6AKN6=4hai0D/ie=P/3 h@d;dEQAWHX48o8AaQk`;BWaQm6PCbj^U3Eo;?@ER@5/m4KP?iDbO?YL@_C[TKXf P77H?E;;=7i8H`gCI2_MJS1P@ODB/B=692YPMXiMUedB>kVHK``R[jEfCdDbM0PC6HbIV8kTYYQkG7MHNUa_Y0FJgjc[39m3fGnh]=: =WkWe7ZP5BZ@a8M@:TaXRaYYXj>2^mWc:PQ7LFGBj:`^kBA4Q[8OQ[/?e2c87I=N 4hoX?4dBY29NRW2ND]e/L2Xgg;T;^gEOTX/W/JS8GlcV8_eMaEHfBikoWHo0>iQN QJa]_CUQ6BB^j`7IW?:Gh2CWWMinVljM_eACK1j6N^lkPFF? 9DT>bL67/RJ^Khb2GnSQj^_LLi88V1hCk7CYDfHJ2nA8;:nTPocfdd?0RNLoOUB:ko47QeMI:Rd9`9i8/kgT5RCi1 >nmGU^S1A`>jZm^lFTTPB9W3khT/BFgQnoBl;O5AP<[A@Pd2X^^>YMWeLWU33dK6 lFY:3/:AJ`EQm:;efIgnASU@34W1JB_J=hHV^lMd7kj]U=;K_9k<^oK9RB3YQB;6 @F0?XXJDDl49ke?6o9R4_`==Bd=gSfCnI[bd2>G8H]Dj;CFgKD=KfJSn94ZY7_B6 @hP/_ST[`Hc9R4?IWHeoP1G3ejAiLE=M9BmkFJ1V/;ATmd881l50VVHc]^WFBfOV _3mS?8GGO8Ml]oA`RHe/Ib5J:]M@NJ^XkY6]UFi78e0elhIIodS2`1JUZMTdPTAd CZUm=_G7C[BlHnBekS@h=_lMolmbWFj^5UbJH:aFH@n7VW7IUa?RlfcG:JDEPj^F Q18n;0X=mlQn=M@mKOS=TTOIGb=i/<^>5CYY:9K[VE7kcc`2T^onJLajR;0W?HO<9MRFZHNSQ;]^ Hm]RTY`Sh7C4AW_C6FNWfM1mP0IoS1G;CMGMJ1;eV`g;;XU3Ik=?j;JFoXF`mb5Z7bO@BKd_6_ N971PHE`@[RWT215XD[>jXbDHi0Gkj=bfJW/1cBYSGM?W@Tdlo2AMYCoG=4Q_;K4QVYG_EZ_>j_MalMb ChddN12?MjJFMfL5;dFFTFCI;hFk[:[Lk`RC9G/`^]FR:Yd3iBhZZ`KCUHF^UWOiG=l1GGf`7Xa0Ld0kIEV^7`iBk5IGiEE1`THdKi`I^9hZT6RiT 1DeMT_1ghf?FGNRI L0abhF]dBP`68o0VQbj]Te8RB;DRUg0K^O9BoBLE2mih10g8mHGeDiAm47D:TMW` GKb<7VNo=h168kE08/?^Q_W;WZ91_9alZOTT4JMP]f15VEY2[XaWVZN ^6KAo[Nbn8DcO62Z>[FCe515UADaTY8/iCeW]An4SZfjNIe=h0HOPNFaZD1>fL`0 fSB/9WELVcQK@lTh]RN7KL`i^?`[Nbj _IN;LnDJO3g7oJT_]gb Hc3PP <21_HVX:?3`P;eAiL6DP;dI_KWA4IG=SLVU`M6mb82m1Lf=UKW@P=cD`82m3HG18 IFUWJ7@P=SHg82m4IG=SIFid82db=C0P;dI/HFMc8334P35M82m6KfidCV5]IB0_CTaHD4=F:d==DSLP;dUdHFaYHd5^ IfaU830P;e=dIFeF2SLi82m=HGQGJFAdJ20a3TP<21_HVX:Fb0e=STP =CHi830P<20`830P<20`830P<20`830P<20`830P<20h=3C4P <21B82mj>gb6SARBiJ60b6VL7<4;f;j::748UX@HPFX[L@ 9L[Xd@F9gR9J^=konkig[O^ojgjjGnj7nca[?N/iNinmcjo/MGPi=CfA63=o;jR4 Z8@HB15XYViYJV4^[6iP8P42gTI0JP1NGWDD58:1NB8e81RX8U12G592G084h0FZ Ng[iXf2^KQQPVB@890EDmO:2@fnS22lO31@U0]A1>XT18DQW80b31/9QCU0TfQ>5 5P52h73PGgEX80Z:QZ9lXLiR00T9X3?<2@=dQ;[2T03aOn3B@KYh0QGn6GKflOYg bQN:@]nR0@[lQDo`]PO4fA<9m`Lj@ee^2ggPL4<80PXDn8_4Od]3432hoklfo0/Y d<3C6HY2oWf[9O@_KP:VB8RGZI/Wi^mi65XCiPMe=X9QW=b0;Q0h6_Y?1>K8ffi` 619Zi8V6oDQ_2C?8G@b<8k9nNoK__ _cd4gT[hU`Bga@H@30[V1k@1gGYhJnEOkgonf_g]]0M89dmW6=8E:2TS2hBPD13o f`:9fiD<<5022;_Uh`N4n]fb51M3NV9^c`3N>Q`gW]S48Y01DT5D8oYm@V69^Q`J2L_i?F;LWTSWiX51@9>J_ 6KWE2o2_]@_/M^BPD3nX4f1fb]=9:LXm>oL5Y_[>Zlm36XnJmI_bIDVlA?`R^5gO WJEH?Def>YLTMRKcV9cSe8ZUNjUc5jl`l?RYYj3cSjVDRLAGL=g7GMcVIk@bj72N b6F?c;PON_K0/XR23D]W7aW6[?84I86:S:fifU7FM66E@7WJ5[7glRBR7NOg`<^O UjnjUWNZ0@BC_hj?m;83cA2>V2`F[N0mfQi=k/j`UVm_J52>_]@mJ1O9/KN`nokN ;iEjU7m94JLDR@k[WiQGM=6MO^Sia??Loi//7Zm5> EA?;aeL_X[?61O57YCTe9?=F;3=JQnS;F=KBB8i0HkHOW^cM?;IeGJoOWflNf0]D J[o:LfBOSVKA3VQD>9Z_b/^:o2[b=9ZM1knPoff1[kkJ`3DW9D7a8@/^f>@kE9eb >D0YIo3a59_gUg3a@c/Ya4:he<5?NZW?_[eJJTNlVKJ_k=h_@Q7_`6;RgOF>Z;UU>B2c01>oOSM5a_;Y:<:J2BBBcod1nXNkL nY=0WiLaVS]12PUU7iCBjZ4VTTmTY_:HSJk7PXWY3dYe0iXZlLaJcgTQA9iEIHSi3F:^=_jJK:f4]=W3m0Md7WTkE5]HY`A; e6jcP92jE0^oT[e:Y2?i;bOFhK:H`>Cb@l/J]YUa/eDQ:P7^_L^N@IPM;fO_[9ho7kO =:h6`bl6HOGU0K7kag;YZJE_FgDBie;2RhMiLEU8DBXOc[WKcg0HSHcUD/:]7J8o ]cj_IfOUA1`FAnhfOVZUiT^f/Yn8;cObKQi3JT0GWNEkBO5M?[dBMJlBN@Q9@cT3 b=BOFWfkGQV6FSa[SU2PQJS@Ho5h[hK9]YC0E0N]hO=GHC@JCGjb@lL3>J>m32g: LWicO4nd9/W_4`L7bJR5QgAmCcn^GEmBdGi;D;U Q_igRbGA`/9gb2:UEYX=V5X_g8dNT=DKSJAb8Y9@P]jbLlFNTC4:6IE5kimDk:RC nRKiJJFYPiJcUUQd>oSY=Jn5lNO58[o/eEF0XLY]ZKUT7A@gBDIC@LN4P1UDVPNM E63jDAXcHU7?i]ZI[EGL=PW[OQjo`4Og;?DT[d1oHC^`]Vi;G7>2 jiJTCF43bA;7n87MWFcY1Nh23VHY937P66]gXg4BKd]ISji[LOjd ANW`o74?jf>c:he6eVe@:dhf@8cHLcL4akNcj1BE?KXf@UN/^3?RD^RSKKk37Q@L aTd7O/m`K8nKeHmmK;cmB>M3`GFYP:dFjehMDol@h>fRkXnCK`[Z=aOJWA7JDZl@ 9==dAXAeQ?/Z_JF08[G>B:Z:0j`Fgg[lF:>8[ZMlQeEDoQ^?LcLmlI24ld;NnlGa 6Vm3D33ag8MfAiIHhG6NC?L_8]l1Annm_lQmXoQH8IM=b^b0A>2ZC4dY^EAhhJPP7`N:5F@`SQ3XTn2P@h1D 9YTJ7:[Qe9:6TA0>FmiAMJP_7F6M^b`OGebJ72glPJb`cO=NLW?IgDfR^?CDYkQWcDMi?Q;[Ekce^97T5nABJchI[dm71be95ckD U3_QMQhVAjaXkahmoCYhCo9aGo;bRT`` oC`d_f1gkbHXKSjNKe9 PHiOLiB2X8?aNO`UnedLj`NTJ7XTgOG;[WR?mNJc7H=i@l[VYlQ[G;nOaaJQ5LE>o>HCKn/c?7>J1W`4=_KFnZ OaIPH//ESB3H/>hKc6EYRUc9H][2dNA^YaARO@n=l709NIcM^Q8Q__mAh[Bdjbc= >d3[PFEKkI3NCha^PNY8Q>G@<^53:PNKAnSjoGOh;lmSRF;CVkJ:[oK?^=k cQHbYn`47W:fVWO9nO9H5RXEb_Af^QPAfZ?iGJS;KfE3e[6X fa:h1In5<9c^kRRXXHTbU]c[5FKi5[X/m]IWWfS5^f2^inP^NgIl>@mOd9GPWXC: OYCD>S:K^7H2TZ^B3T_`DIY9o8HaM:W;dQOgBkhdmZ7R5An[CW=?Nb7Ne;afdoV= Cff1I=D/3=C5Yh^nTRVVjUoP8k59i2D/;SZknRNTbI;_e2m=`7?hXUE6BadT]c[g>FWQ[0d_[:RN5XVM2=D5ZCPIZ= 9nHjWe/<8kAEdV1FC>7NBA`H]7;0FX2SOE?YT9U]/M2>PU1Q0jIiSTA1E ^81aWC2kR;hd2/R@jnfJYE4SgZZG9g^PWXnO5ajIlUdjV5G4mUG>EBP5eF2flNL? PF/l/_VYN6OV3?eBMmFC[;/4iH]k43Hi1695m1EMHLH7/o<1F_m1fd:ClVW4;4IMhZQg00 mLUL>KA0CcEWR4GcQTfX=LbAjX1L YDCSRBO;Z]3lW^>WCdZG/ekS3^?lbiPg3HAG:jdN>]XbEU1HP B2[B n6hFJTPYN^[I/B]hPIkS6mF:o/U[Kc^gEPQJGBDZNAfJm0@]Vg?HgDQCa6Km7^8c c7Bi0MY7bS8JA;7jG]SeeECBc/2?`giJ8OUK`D=obXSTiQ:P5e]R`FMZcmdO[0ED F6Xeec1g_8l=mWRE1_::/cgIbg`>OlG]^ZaPPQ=LEAG`EJW25NnN=T6D?6;4SSkZ [@HnI`6iRMRaQe97k>m5nm>^0P8YRJHbFTo`O>N3c3][gN`M1Amo/[2]>1aj?2lR ^NODmWem4fhV7ULQ@9198oi4Y6I?^=jamb@n[>09Ume=NWSk`MIXoJU6V >44cGciHH8G80JThD][U9Qhd3J2/:RnQeU8[^Wb=oGQW]kJC7G1WZFl4T=UmVBic lGk7;OahKEh?`;f70^3bZEGON=YGZCNe1]?9^2=oD4aleUAlcaCdbkQd @_G5eFYo:V/h_Bn1]=ZmBAU?bIbUYF^V?9mA[[:YCfXEQOB?WhMXF5_6Dhh6<5;U ?A@0BgMbdF^GoJZ>m6`LCHghMXB=glcgL8UG9FRmdQHn>PaN[ieXDVViHnj?fiQRoA25goX1W7MP]NSLN :<=^AZ_VJiTdOn`GaaI@jJE3O0:dXiEh>GilO4^lU7]`_eZ/[I3b6b7DX:5IbFIN ?[Nl_iEW>_/UXIKXSjlQcck/?Q8HA6ONF9d;EYaKZcmE4FZbB8b;FL>Q;Q5N9YaD UoLN;V:nDdZoKQ5PMoK9cICcb1NXG>Sd;>aV[CT7FZ< V0Lh/VM=72OE;UP@]g@m>i00A2akl@f4D2VUlOE4cQSF@8nfMECd GnM67OFLT`n`=Aij;HkfWh;_QcaIgkQTgFW/Q:eU7I4[ Z0hMEiXOQJZM_Hh 2[3?bagC3R;2W5RJgXUmdhAOo7aNn2DbNBbH?;>BPORQM]PMFEFji[EdM GYDZ6jc=<[4n/e1VTKdNm`F/76_b8km`43F9m]>@_GIZiKOl:QgPSa=92lj6Co]OS3@T5OHjBBN=UV_Wb8VeWhVla T4YCoM9OJ?823bdf@1El9@TJF]YbF[>9LiMZXHidc3lfgkaBTShRO1<5jomjGWCT =F^BBcga7E5]QN_dFmmL`C>@i/1Sd>/Hi[F;m`c^To0I3i`iMc2 `l0]WX^ZYIBh?J8T/dFFGJ;bbT_6IdEoXXdXQ2R?hcEWm5U>VdCLkY`gIL9:DRUT /gE`=PkFV>:Mo6`PC1F>l? 8mAJTJe_ZLaR;nkN7>17:JMNK3CLT=4_XWJlaTH>^iTfnJ;^SZYeNm]^Q`6n1g`RgA46F7= F[KjIO1]geYefBCaUS9[<`7lChm6PXil>4QJO]]cKI7HCagXGN>goTE_N jJP:7/n2Ak3On9l7i:K]h3hM`lKA;aR/mC[>YZGj89Y2G92l`o:Xj[L ]:=1o4`c>0O6RWF1nS39YjO6[j[FG7]Fnibc;QFHiJKYgKiF3nk1EGZELTjSBgSL ]?5g1Rk7Yjl1>JV?SZH`YXN0n]43g;D@nLSfDA^ML9[?jLf=b[/FGAnCUJ @l[nN`5[58dKR?a7U_NBO6o/n3iR7^UmH^;o>TUB]dVk_CkLo>ak0D:[BS5_Y^2<9fdHjL7mj:OH3e=n UJim5:4Ek9Y9aZ8hiIfAhG[mbmlPG@D9SZLfQD/GIT_6R/eZdadTfI@k^V9W_>am WdXc<>5>jYEFnYAEa=7c5_BLGB4o2BfY>IF/WY2JkPSi43KG4WRZRc_Z=9:oE6_1 dBK4mMY4R9j][QhkGGG2JV4n/V7Rh]l]E3VK0IK<]^ UQEF[];>i`a?T2RiRnC^NN><@C]]lZ??DZF6_dnZ0T`Q=_l]Cf=87;n51gSjNj@]b/7@XgD28V3j6 >8Q8jS@d34lk^QmZn>9Y:dZg1_Q1]0RI?kXRk;hL6VIeJ[eW0g2H>X>l82JNVmFMDmOE^DjLi2B0/gY ToI:`AUJ=eNLk/h^KC32@1i74;nbH3W^h3mfj7[F]XWj?@R>m7lMKjeF;4dXSm9=X1>ZPKLm=9KahL;9[_fVdoOjD;A/DVMVd9DRBPAiSBRZG JH1CLb/FdJcmI2BUonVXVT_T?Bl2nUlnP?mU?NSo6h3n;fSP18M2D1Q?10CU0OP? MC]17@YUKVAcM79UHFd:IFiTKf9Z2STd830PKf9Z2SHg=ST:IFiTKf9Z2ST`830P Kf9Z2SLa=`YUKVA_HVX:>C4P<21_HVX:=S4h<@YUKVA_HVX:>C8P<21_HVX:=C38P;C8hB0_CF5hEfUTM6PPCPP<21_HVX: ?3`P;daUKVMdJ20i>B0`858P;dIYK7AULR0_AVaQM6E4IF=_I6DP?Sh:LgAbIF5] 2WP1GI31J/<`44C_nXXmYXLPYfMS:2T17i:F>_d0AAXK@K`BJoWP_jnTU1Ajd46c NS>cd/On_FNOB7m:/09RZMhF5K4^JNad1] ZhSdEdJF91_]gUbhhJEX7n8PWROJOAn7ZPa[S7OXDf?dK5JDdObKIEBB7e?EZ O_7eS>L?a12;CcdookYSa`YUKVAcM79UHFd:IFiTKf9Z2STi830PKf9Z2S8`=`YU KVA_HVX:20`858P;dE^HfmTJFiW83Tg830PDPXn?PYUKVA_HVX:S8`CDfFS0`9c0`9bTP?Sh:IFiTKf9Z2WQbIFH:<20a<30:<30` <30`<30`<20f=CDc=B1V80X`<30`<3Pc=SDb830`<30`86hP2S0`<30`<3H`=3@P <30`<30PKR0:<30`<30`=SB0`<30`<21^80X`<30`<30`<38b830`<30`86hP 2S0`<30`<3H`20`<30`<21^80X`<30`<3Hf =c3CDi830`<30`86hP 2S0`<30`<30`<30P<30`<30PKR0:<30`<30c>CHh20`<30`<21^80X`<30`<30f=3Db830`<30`86hP2S0`<30`CHP <30`<30PKR0:<30`<30a=CDg>20`<30`<21^80X`<30`<34e>34f830`<30`86hP 2S0`<30`C@P <30`<30PKR0:<30`<30c20`<30`<21^80X`<30`<3CTP<30`<30PKR0:<30`<30b20`<30`<21^80X`<30`<3B0`<30`<21^80X`<30`<3CTb830`<30`86hP2S0`<30`C0cC0eC3Da830`<30`86hP2S0`<30`B0`<30`<21^80X`<30`<3@f>3La830`<30`86hP 2S0`<30`=3La<30P<30`<30PKR0:<30`<30e=3@a=b0`<30`<21^80X`<30`<3Dd =3B0`<30`<21^80X`<30`<3Dd=cB0`<30`<21^80X`<30`<3Hf3HP<30`<30PKR0:<30`<30f=S8g<20`<30` <21^80X`<30`<3Hf=C0a830`<30`86hP2S0`<30`=cDb=3PP<30`<30PKR0:<30` <30g=C8f>20`<30`<21^80X`<30`<3LeCPP <30`<30PKR0:<30`<30g=C8b=b0`<30`<21^80X`<30`<3Le34e830`<30`86hP2S0`<30`>38h38h=CHP<30`<30PKR0:<30` <30h320`<30`<21^80YdLV5YK6Eb2S`l82mCJGYU834` <20_DVm_M20b6H`HF8b=VARHc0g"], "Graphics", ImageSize->{516, 429}, ImageMargins->{{69, 0}, {0, 0}}], Cell["References", "Subsection", CellChangeTimes->{{3.4059068143867598`*^9, 3.4059068412130404`*^9}, { 3.405906886040587*^9, 3.40590688927745*^9}, {3.405907098097617*^9, 3.405907109932663*^9}, {3.410151936770359*^9, 3.4101519419755697`*^9}, { 3.470046157204131*^9, 3.470046159251845*^9}}], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztXcGRI7uOrNi1Yw7rwhjxDdiTDv/0b3Pa+zNhTGgPxoPxoC1oC54Fff8R XKwyKjcFkFRJKqnVPZkR3SFRLBAAQRIEWeR//et//vtf/7ksyz/j79//sSz/ 97kZhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEY hmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhvH0 +Pbt27Isf//9tybG10iMnz6KK8MwDMMwjH2h16+/v78fDofuTwkvLy9wlg5H /OOI379/35fXHsI9CwbIzNmcke379+9X8MzHo6x5QempHz9+REFQ1Ovra5S+ 8dkHIOkkEB9+/fq1ncJff/21HBHGo+mhWJD9EKvYBT9//qRaQoqPqjjWUaha 0z+RhkOTP1bE549mZ4a3tzd0DvE/uA3dxv95/qiCqAjIeA+WbpyB7jKBfeQs eK+yor1s7Mq6JcazqcXtBRhMWM49iN8I9Odz3nY0houUvJfe6NhE0aBZf+oi 3B7NEHq4dLjcEYmZCSJbZMbn8EDia/zfXpA+fhZBOQxD6UevuJHPRyJYYsXB ni+qR/icSS2Q9KPs4XbEqKejc3z+2Iqrncxn0XBoUm0jPkfKB/IzQXg4oWR2 quHGR58292QiA/JHRdzPQtBTfdTjVxC50VvYheFos9tbRy0xnr2ff37puPNI bOFtL2O4VMm76E05T4Jc5PO0tdW/H1FnpkFcQwHMEF1KfEa/gZElvkY6/m+U 4jqfB18v1Xn1eTD6YG4Y/8FJCFs9gSZajQx/CZhBNcPHqRlVVzsOKIy2RXGU BbNOUD4blUpDZ9C5aMYa9BESYUo4TqgRku0KC5+QI2Ckw0WEmIH4SkvoKplq 0cVZKDDyp9BTssAJgmydxVzaCafiRsKmmh310qhfhnSCMh7U/PEr2w5yjgql VlHXsJ82MKeuQXaLq0iGAUQKDRXVDav4ecRIgZA3MYD2m/oN5hk1sS66DXYe 50GHSSbv58t9Lp8nFHJjcbsw/Mwl/jk+z+3GoHg2nwfSoROOQTn9qh1dyoC+ l4VyQN8eLr7O5wEPu8R5lO0QJz7DA0wbpZo4vdo5xwd6JqqZUBrZYxGqLs3M pUl4O0w8q5ka57louSQKRSl8KkpXY5gICwdGdcL/KhpSqpJTYtWJIlngBF2v b3t8b1RcV9h2KsLI7eGATmZSRC6tvnHNa6JhLbrqnObUNchRcQnwWlMiDRhx FfoMyeepCkzBLo2aUhA1xZHVddFtsEFtEiuAm4RAVnxmUw224TeSJfiNaCnt qFK4mvE/PnOxAOvglJrZ8HgqfUSE1d19PD2FR1AjqR0lKXR0mAgImkCQJVcs IjGgymfQDGXFI11tYDrDJUVYeFQBtIf60vWXpP8A1UIG6iDOlZRaOwEyxl9V AyMtkX+OO1hL1Vaf5EJ6NaFEPLLha3K8N9JvawNR3u5nDDDRtEaWbKBy3p7P 52kSNknjDqaE2l9t8Xmgk+o2bGSmi0X2rlyxB+mszxO/Bs34PF8Ngfjs7dFR s67nPo9GIZgZXMV/pKjSzs5wOUeGwV8a0aWjhQ+YXDdxpSbCHo4hGh2k2tEO kx5Apyq5bfZ5qgXOFXJjWLtbXFfYdipCSNrdOMQOBDULl0x9nngqLSGBzkTD WnSaqtCc2sAgR8UldDXJppG8GgSv5gqkcxVcaatPPk8wObG6Lq5bvuR+HvTe aPj0FeHRcXUPXT08JagRgTj4S+zPwSeyQVhEtLTcCRGsF3QfD0vgUxjj8Ehk iEdUOVUKjg5nBUzjSCqisg2bR+3Diqo2KudNemPkj2ygqeU2WV0Fe3Cl2mlb 6wYuyEPiB9RoTiy9rTtdIUvSEquDJtrWJpBGOpUL4iQRusRh6snn2UifK87K 2/2MgUta/LXawIjzp/J5oK7aT7ZjF62VzgwYZ+natTKELdt2LFy9tnUp0uM6 dsCPYqcNlrTLRQYEYSrDyUOoq3vLugKi6mLm5C1fKhSVDNO9SEUcRmGc8LuU 7ERYPBuf0V50Jl5dl6rkttnnqRY4QTc6cdHOmW5xI2GTz9OtvsO69gT10gkk V8kyqfOJhlvRXjWnNjDIUXEJ3YgZVi0rkZSnq0COd4wlkp/DGgqDeUysrotR YHZe7+wBgk+8FhE8c1YFAdkPBClGgBNX2veiY9ds3d0mcyLdx8EMZ3zwIkYV p1LAnUDOswJ2h7kJ24yZ0LCrNirnTUZA5tcH6Wsl9gKRiFF+ouEufU3s/sr4 dldLlTI4SdGVRLmKUGvnsC7op85wC/12OoWpfsWdjKGd+qXJBuac34IdfR5U DToNHXfgoqMjZZfLDPi16/PAfm6J8ywr6M/v6/OkYStYxQwLWxFqH0s+UzQG 3myK86Tlg0Vmf6x3ZsbIguhHUtpZeROf2Lq/XSdUAjxzjnHJi+sKy2d1V0kS LWlAldxODab625hFdi1wgu5+ni0PUsBucSNhk8/TDUYhM8IpGO5bifOkTdeM 83QLrUW3njm1gUGOikstrqtJ7hSqq1eowYkCGa5hLLErSJtaXRfd/TwwttEj 7XRajf6zRsAudVfu5/NUj3rk8yQp2mB87AqoLlbb4PNUtc+1oY+f9Xm6QwPW dGrms/TbOZ+HQiUtVcHxbFgXLXnkk1QRau0g9I0ZsaZvod/O+Tx3Mgb9Wm1g zvkt2MvnwQJr2ipD5tHzaJxKM6APrEsVcPNIpG5AZeeZmImvI82MfB5MJfi1 W1x6HK+qMZ1sh+3RU03vbWn8XOMVulWDmmGnnTQDl7guhDVZZtKOeq7DVnwe TFfxWTWJnqc+Ts7TvuXldD9PV1h+wIizxefBZyqZiTgWID34etwk3LXAiURt DczyK4tLOumqdFTcSFiV6yBbUBRcN1yOszk+qPt5GN/WCMlEw624Cl1z6hrk qLgExLrVGrmy0Mp+npAFROYKRJiIjaIrCPN3rW7UENJ7W20NN7XSP6gC1TAQ wkWUvq0Li0GTzj9Xnbh6mBYL2tqxq1a7QfU5ke7j2ksj6DfyeaoUOnjNBeSq okaAJ2zTYcaOl9bzMSrnbZvPU9ljHkzSK5Naudt9HiiEQiUtITijkwglwhWl rlxVhG4V4GuaYmyh32S5EC0ujZ53Mgb9Wm1gzvktIAM8aIWteOLzvEzP53mX 97bQ3FTDWJrRrSPQG0bqRfaWcNBBRdQJF/pP/E9vHtXMehZN7b50Qtotrh7v sxxfI2qnr5tBLl17OqzHfWA4I1lULlTHmXtbd2aCQ2TAUjgHO0wi8BmZuUit vTrf29LhYy7U4bhf4iCvQakmu/EfMIBtHuiX2voyziKnx3SFfT2uJutrXPwM C8GvYKarZH3piaxSJ9Rk1wJHEqlJUC1d6+qqdFTcSNjRO0daR9gxwhqPZ7Xi 2O6wvHKQjWoTDQcFvrdFc+2aU9cgu8V1gUGNOZO/8SrvbelKaFUguEXA/LAu by2n720lT6ZrdaPOBHg7PZ+HDaEbsGqrj4rOkEUgRbce8YU47mE+yD5PsARJ uTsIvqXuek1T+AkRZqiPQydL2WJanX+VIhE/K+DP9aVCPrhI1PfQ2+7Lih5p I3HOn2Ak0D8S4z+J4GWHyh5MUTfTJg1XUuQHsVYyBgZgadqaqpZYHd/Wo4Cx tIe+Gk5RlQtqSSIk4ocVqR430qdOlLf7GQMe1DpKNjDnfMvSzwTLuM+f/PR4 6P7Gr1fcY3C7UGe3Q3863CjRl7STLw/XmrEjRrEy4znxWXwehru/ZHGPwY1C 8YWsL4PbJfqSdvLl4Voz9kI3RmQ8M7qBrCe8b+vB580+//G2V+BGoV43n+n3 WXC7RF/STr48XGuGYRiGYRiGYRiGYRiGYRiGYfxRwOEeOxKcvDVvGIZhGFfj CXcr7Qi+0EfgDd9lfbP+fuCbxSn99+/fe20Ewjuqu5ACcDCFvjbL4xdwnmF9 CxvXIvBrPdwY7zXrcdk1hZfLkP6PHz823oTCu8ZY+osA7wKnlKtJ8c1Tv+hk GIbxSfGF3y7UG0DaUVK4OofTKxsmwJlX15WupyoRV9xrNsKhd9miYn4RdgIO kWtHLemREbhE5qV3hxQOVeOefx4JojR5mw8+1JQoDkziLBqeqagH9HWBo5kW OZiLh2wk/1ZTuu8obSGlB6l9H9wiahiGYTw5vrDPg8NF8UZSfNYTLDeOWRsv pRo9e781Gg7TkzzpDOo5Dus1xLzxgf4ehvvuQW3Jp0q2pKfFwp+pKTiCjylk OChv8TbVUUFABp+DTjBcU64mpQfm660ihmEYfw64NoQDEt/Wy765RoDgP4C+ XY+g5EmbOANWj6Z/O70+fpTtXW6r50mPaYUisZpO/sQ4hcNmtXQyiSOFOeXX c565GvKy3g2UmOQhn/uS3Vg7vN6C1yvzojc9A5Y0eflplKshAtzagOgQM0cG 1bM+29Yz1XHsLUd5fRajP0qH88CcZ4Gy0kWQyoCe+Ep+DuulriNdBUEwiYrg XQOjRbR6VHK9sUVvrgHDKeXnehkxUuhL8AT4OZbeAew1wLUl5DUnpVcedKNe hmEYfwJe1/tecaHGz9ML5Tm84oR8vRYTh+HzahjeOYIxtF4f382Wbqv/Wa6z r6ziwXQxjZLFygJSOPRwtALb7XRU4vCXqCFxd7KTXRkK7L4AGK7h8gpVxDUa sIebhjQnL7x4Od5eF1zhroG2rgR1n4UPTDcAtYNfUVm4nKXmPAvsPFGdVAaS awcmUVaXJpSw9K5g614D0Y6BrOQkJBHU3wPlmsLM8Ih0dWnLNrPqqMCX1jWs mnIFKcQMka5XxRmGYfxRSP18ulAe/3mVz8Z7hNuxj8WtQ0u5BI3Z0A/rbfX1 pvsRq7zrvJLFlJb7VzH0VDb0ri7OfCc30O1Odg4dVbELF/uHuZkHPDBWg0up 8CDvbUFOVpzevcW7U5f1Qit9lhEVOk7QAO4hwoUpvLYp5ZwjbTWBKioDSo1F MNsI3GajKbSxhFoRqS3QM0TVw2NMKcip9/F1SY1QeUAMbZSCNqXQuNOcFPZi MT55ljfDMIyvh9EeBgBvfCB2ET9t93m4DjLxeV7KFcPdO0NHrI5KT0wmxq72 eXYnOwc38+Arhip6enqfr2oj8fb7CF4NrGqEG8DrO9OzHMERr0NBMAAuaMIj 7eacgIuYKfaVGIDDhreNtAg4HolmJIKmRjNIZ+QmnfV52ro2hMAI5K0pcETj Mx22LqmNPMCTmadcRwpXU3Fx9ixBwzCMr4fUOb+cXih/kNtdsZIS/zGmp9Ul 5EHHyxS9Pr5mq7fVv5Tr7Curehdtt3S4B1yDOJzeXM/8LEvzT3ye3cnOd6Wm 25+xtMTNS5jC6yW/uA8dXyMDcoYCEZfQ/cDwWJqsGaVn4VDhMmh4I0wMIlEo 9wmPco72LOneWg1kJQba6rDBBrAIRdkTcawi4bLmtF2KXHWZOZSbi1NbYBSF 65U1BYVix7Lyhu1S+KwXNCdURwWxxHnKFaSUYWr77L5owzCMrwTdLKpbcHmh PF5LgfPDEfYgu4j1Xja9IJ7X2WN3NEI6NVu9rf7l9Dp7BYYkbJfVHdSVbJBC +AJM8icurCDogbLoxVVq8T/4350sqMF16dYLNKzQYR27c7lLHOtN6Stycouy nifTygbm9Ozr+lI8iaBqsI0HAmJw7+aMn7o7jSEUVMTtN8satlIG2tHH425k rFjRFNNCFTc/1307WIoavTOe+GRFsy3AtcMOf67AphR9apFtV/R/qJlUum4y VzbqLvez+963kKK5RiItYWKBhmEYxsdi+y5ZwziLLafoXId08s/r8b253Usx DMMwvio0WvLRvBhfBLrWdj+yOGdg91IMwzAMwzC2A3ufdiQY1EaHCBmGYRiG YRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiG YRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiG8Sfg27dvy7L8/fff mojryOOnj+LKMAzDMAxjX4Rvgw+/fv0KJ+f79+/xIf1U8fLyAmfpcMQ/jvj9 +/cjOC4IDy14ID9nc0a2EPM6tkkhipuXpQh1RUHQ1c+fP+MrlfwkCCWETrRC 43/yhOegZtL94EEZCv8o89gFUWuwmQB09YHMfHZVv7+/B+c/fvyI/yHIvjfU 3wNX1360dDQrVEqI3M2GPG9vb1toXjohDSXfo7e5muyT8N/FiLdgILW1J8c9 GI5WEJqJoWGU4bOESuDYRLeD9hgfIiWaapv6PO3YnDVDyKv+0uOR+JmAArZV 3kt7XaVwFtFPhm6jn8dXDEzbH38You5UgcHzFSN7tfmgE4nP5uNdhGjm0d75 NT5vtLS74pOqOhpC6JNMxtcnd9Kurv0YdOJZNnzUzijzRb0Qeq3Rr9G3qPsU DN/DJG4h+wz8j9DlLRhQG6hIPN8DZ30YzXCW4UsR0oVawpjnTXVeswkPUFoX 4PCvI5CC6Ee70Odp66D5fkSdh4Y22Pzb0RNAhugK4jNkR38SXzEBvMhTvc7n wddLzaPrtITSGCeJwQg0ERBLOUMuPo45L4FE6iGUowNEV2noSxGZAQ/IHAqH DgM/j5gLlXwefL3UJiE720VIB1l0jKvyBqs6g4j0+Ar+fxwRX9UkqqqpMY1N QV3qcBLJGifA7CYlXuHzpBJHImvVx/9Jb7+vqqne+IqiEcbsWrXaoTaEYIaN d9Q3ImaiKZgFUDkTu006hLx0FUAH+VNPQia3cJi4va720R2pNQbnj/F5osqe PHT2zPxfNGoT9+Z5bjxbMtyIjWq5SHsfVdHgMJo2V2rQubXLfR6oHV0u3EL9 NTo67b40A3pa8sNxNvKPosFb+BlBPRawsUucRyWC19eOUlcRfh+Bz9ohxwfW AvWgkagtSov0+Bz041cOEFf4PNfFeTigUCIEPNVt68oLh41DM9LxX6WuKVR1 9dCqERLJGieAD5ASrwjT1RK7IrdTQSZuzz1UraVPVK2JIReMMy36jKI3cF81 RfuNud1WHcKnxecgq9VNQUAfjW4Lh4nb62o/iNdVADwYXMGH1JplG+eEMf4j CAZBdOGAI0tkoIMKYZEfCPq6ahb/kTn+a2Z0/jq3qoCvCISeyQw/YHaGmIxS +1j+R/TrI2AbqJ1GlYLyKs86aWWhLDE+RAZ8xTwuAJPQRE7/SQGFUifVhFKG tMaEts/eYEulp0eUftrwoHy2U58n/dQ17FTRqoHEw45I9Yve7Iq1LVKDGaTh Bk1GZ0xbhm+oeuOukot8Hq7OX7cNae7z4CfqcDK2MmCIr+icIX7yecDkWaVF oZETDU3LRRBgLhR8HsyvUVkX7ecBYOGsNYwXyRPuyns4hmgoKcbW6ukljzqp eqPPU61xgnkNbkS3xK7I7VQQ9AZdmvdQtZY+UXXX54kP2iiwlaWy3dUnEyd2 29UhwlAQc+7zBJMbOTzL7RYs472FkDF1bvR5QiIwSb+UP3FA4Qcsn7VTO1lO J3H4GkpAQK+tsT4ojV0ZEkfiMD/2klVmQLlL7QP5H9FPj6glIFpYNZCkoLzs rskzAwjxE/hEvxpfYUtkAEKx+4oPkQHZEoUUP6kmlDLwa5rsaFkjpXUf6QZw JnzWnyaGrfUCDXR52AsqCBhjG7/U50Hl1l6xHTtk1C8dDGRAeDxqkJ18GrmW zfsTrl7bugKJgg7N6oq0MqtFVWLqEbZaeaa8yxqZ1456ojS4cFp3l8qocR6M NVHExgUg4rAuiGCtlrLgw0RePIiN9IwnqNT6VFfV232eao0T1LhEW/2B7eiW OBI5+Twjq76HqltRY1fVTDzIAnQyuVF7rJETDU9N7Hakw0j/dUTqlhdZ20pj zZzDxO11tT+J8wT/8QFL0upqxmdd5otS0nhafQZEdPGKBGXp+gzJkFThiXgX h/XFDcZYKjMjah/If9DHCmmXPh/RPnakh7loyjNeBWLIqC4lJAcJ7tacQuIq lAbDHonfFY2u3Vxp3Ue6OSd8pp/Q1kaGXdXS5WEv6DB3WNe4aU6TB2uPgQYL t1OHm0hB16HvOjEDfu36PHCibozzLCuqn381EoXDacAfXTo0Cadl9LjO09va +WucB5VCT2autEiMnHC26yrAWZFTrwLlXzrJhSpgpSE752IaNOjKS8PQzSRJ 6pqiqlbLqY53cMI4cLXGCbo7OrY8SIxKHImcfJ7R7Pseqk6lt4GqmairRcnk 0JlrBJvpSSLuA6xE2lqVEx1yi0477bKqD9zlsKtbzXNd7df9PHwwaNZ5Lj6P gucjn6Ednd7k7zE/J/W3+zzwqzFlS4PgLT7PvfmHt5PiJPfzebh4lDrbS32e SkHjNk321VeuUljmrj7PhM8aU50Ytlb0iAe8l73IWvbVWNZ11VAjdiTC626n HUhFkgIrdCkigc+IwrXTtSrNgL2RaU0HRVBAjOaVDd0tTII0v5HI3V/1KbSy LRTwwlorQzP6NyqW6VACH1eXRrdnUA/sdd+OOKu0GAKC87QvAilzuVKvomtq 2zVDqdU4l9NNJl15+QFz+Y0+jz5LJYSGUbRmez1uD24Da2xjA2sSjAWgYXwO tWj31aUwKnEkstbmJK57D1Wn0ttA1UykZ/V2uoVsEkZLwWQ4M+R5ZLdzHdI5 n/s8Ew5vr/2K9N5WfKVzjsUafKAI8Vm1waUQrumwi6vOA+abIAW5sJVFi+My ysvxxQo6yXX4YzCHOMjuo7Qn56zP83j+CRaNzk1V3U79BAblJnPnic/Ddy7a OkaDPa4jJ58HlqCDpuapFLhUHTohA2pCmiGJBlLdsrpK6z4yz0k+a7n8qWvY taInPOyFZV1XXQS1A6nCfhufz6PvbcGEVMNYlEFol+4K9vrq2xY4vgMEYTbd mAM6Fvxnq+zOztrp+TxVjfpU2hvQpXBY35NCe4FE2A+Dt6hUXYh1MxTPykWN Q4GcrVMP8RXroZjPblEau/pXef+FmhnJVc/n0ZFoo2a4Dw3aQB9OdbGZV3lf j8vK+m4RP8NU8CtHuqpqfd2JbjCz8SXukTVODIwaYKhWXT6WNaIwKnEk8uiF oweoOijwvS0OeV2rRiJ4QxEoMf7z/cHJuiFeKBvlrHY70iG4xQdEIZby3lby ZLoc3l77I7ycns+DxKCAeRD4Z9Oj98h35bgWgKKhdgJTLYQy8B9VidggNMPS 27rxFZTfTjcMQ6vICac0ecLc5oeOiJtaQRAPdqk9nn9lG6pG/wD6o0de1iPU wGSiQzYouMobifCpNDSBxR2tXF0FPqxnoOlO70UmLEqBVcBWAHHUhDQDmUSJ IJX2S0+UVh9Rqbs5wWfKlkToGnaq6KoB8rAjlrFjM/np8diyC3df1HX8r4Hb 5fqSmrndwB5vosZecN0pGBQ17oHlNOxjPBifxedhcPsxwFT0YcU9DLfL9VU1 c7uBPdhEjR3hulNMVvqMG6HRoY/m5Q/Ft09y39aDT5d93Xxm3efC7XJ9Vc3c bmBPfgCyMYHrzjAMwzAMwzAMwzAMwzAMwzAMwzCMPwT6Nu7t8Kb6J8d3uRXl aoTNbN8cOyrxIiLb8cgNTirancR5NuBdYL7CiT1meqiRvpo9Al7WBl5eXu6k t9stYS9beqRN7lWWHptwdYnbiVyEXTqxXaAvgE+y6XmPwLf1AqxFrh35WFzE D1/tx0vceBH7rtt939Y7vPRmXh4SAq8Db20c5J6vChyMya84PEFLwWvaerps TTnIdVTtqI2Nbk89Tb2LxBXhl8iuw+3v34XVXeTZdku8lMh2zM8p3RcU7X7i fAgmfogeBVavdMcB9XPi0Yd0T7PcHbdbwl62dBGdG53AXXjGHZQ3lngRkYvw PC8RbzkjWu/6aUd14aAwPWFvDhz5dSOrZ7GFHxwKRBPFEYU4UGvfewcUPNmp HasenhWKhgPJU2F5aUjXtcB5iXic12XqCWw8QgeH1dSUJqeP6uFI39fL7Cbg oUOTPJWrJjcU/AnT6nvg8d3Fg0v8EJ/nOcEDJ3Ee3capMbro0a/p+NN0z1E9 XK5C54M82/Me+Iw+z1z5+5a1Fx5f4vO0u3R4excYnfEeZXzmOcB6/vYcONF0 B3anOMtPPay+rc1ZT6bdHUEcwWG9mQU3g9CThN8Fn21kkHWGpYak59sHcZxJ m1KaXCdxkIt0N87dNraU6vPgSpGzDxoAKo43XS7rnYPpPGSsNfCoW5zyivrF +ZzMr7Hl99N75zGEkRSIdzsoEqnF8cDPJpFzlJJu4dGCGPxETuRBHJIR0VoW siUpKnEFZeTlgxre72oA8w50FzivEvk5YzrLZ6oCEAQmXY3eR4DTMidl8bBc Tiu6k/Tk8+Ac3ff1Kuct/R4WxSBUPKiXSqjeaqXgFiHOs0a1yeNk1RKSWliD aoFaHV1b0qeS0lIRSRbt6yZiqvJxnHUqJfEAgklRKAvnJ2tAng/ilHi0JhgV emxaV7LnVAvJftqgJ580cDXm1MC11VRFpXbXZSaJxvTUDSaF0GY2Bl6o+WXD nYBoI22NBmM5psnVBpCia8NccuLAh/pCfphE0gCehT/AewCpTHKFB9VXIT8j dO8mg/h6VWUqAnLhCF94DuznU/4RQiIYPB2PdnQ5tCHAL8KvGEEqnUM5L305 vUZBe0tcAZBS+GCq+nrtThdX+zw4XvtJlkGfHIiVva+3bze5gup1vZ7+5+Ci +df1UraUv0mlpHvn0dOy3JQ5YTk9pj4Vt8jVDMt6jyevoqg8MwiJWRWKQCvT q39SWSgiSVGJk2ctiLeoNDHmqgEGVMEGQqbIzxWxs3ymKiBXmP6Mar/r84zK CsbQNc0bZvJ59K7t0TJ0Ai9fwGDHQ9qTzlOloJ8HBfZdtTa1a1JLSDXIWlOD 55BUbQnX0PA2omAgKU2LGDWoLWIm5adSKuetWG/VSWW+nRrVsl61zAZONhLx if3Uip43cBZHBprc0DRp4NruKjPdIlI3WBWiyjxnv/8P5XwCbAgB6FTgWd5Z gwkjuMU9CLQN5mxrkIGWA7kg+LLerQAR4A8gGLKUiz7hgUR+dgtaykSQbm+D fqYWoXLhjkhaWs0/B57Va9HgDOOOkra2rJCIUbVKhJVOaE7tLuCm1hQyg8s0 teq3WMJ1Pg9qKt1wZ4zAuUNUx+h+22/ji+a7+ZkIk+CVHJh0wGdAM08UEiaU R79yREs8p3tL+Tk4RFDrIimqQshzvTU4kUUzRJR12Xa130Y+NRE5041LFeiL uLYFImBPJ8vdcXZEs17td1hvcN4yZWtH/4EF8dluhWqlnL1EGOJ8P3fzcvfe Z82pGZgOfhgKQOc50tKkQZ0Vc1IXXc6r9VadVOZbz6j0QfpaiXg7Z6uKjcas v8Kfwf0+owauRKoxd4tI3WBVCEqZt6aK0TWXCg0IYMjGrIcLMWTgILdTMZyr Odsa8WBkhp/pB35bb99DQ4B+tLGgNvkgOoe2bTPPUoJaiNR1i0hyYaszy6r5 zwIy1nvZ1HgQuxtVYh2JUgoud2MgNKWkjfpsIyPiFWrqvBaNoG4nI+Y8EGe0 Yx87iuZR//Uez40+T23y8HZ0Ytvu4/MknrvjVJO+7iIpJvfDnvV5UKgOo5jm jObR2/lsp0MwYhr0GbroRlwx9RuVlUqpNKu6XtfFlI0bVtU14vaVpPN5pVzq 8+ClEgxq1/k86ak2HuirLG3c1kbKbKvyz/o8EwrUSWW+bfN5umP63FbnRZwt l3JNGrgSqcbcLSJ1g1UhcA/CPC7aiLtlaSaFHTB6csnpVSJgAFJ0/Qg5MaOE LGxoHAThJaK9M6QMN1XdG058qmtEfiay6OpbW6/QbaceFIuo3T7rtJt/osC0 TQIxLhoA4+r0dhAVqaTO+jyIBHLRU1OQ2NZbXPk4DeBSn2cCJaU6rz6nUcEl rfdyEbz2rt8HF8138zOx3jvP4CF6FUbRb/d5wB5bTeIZwRnYOTtq9TpAjUsS cymqQsizxtjRw4w6cPR10ACv1mXjrePLWT4150GW78F8d/Nh1+dhv9Eti0+N dhd3x0FMi9IUbMSVdumv8g5L0vmoUnSJs+vBcrraZRU1SCtKa0/ttIpJQQvF gDXpviYN6qyYVD4spzKWOK8Uqk4q822bzzMhPrEfrejtPg+3bEGuSQPXdleN uVtE6garQrhqwLWwyW5ehLI1gPO2vi5dgV4xPdtkk4beZ41NKdQVFQ6fBJe5 a0PD60LwAeAb0MxAHwsiqEEYD1oHOmrOVrBwA34msmilYK9OcsO0iK5ck/y/ juhaEReakRNR37a2ypAC5oGZILJ1RxztNkmcObnsS7JNltH1vS10jND2i+wt JJ3R7O86n0eLQM95vzcivwZgz9i8N7qe/mVw0Xw3PxLx4NvpvfNYTcaUARsA Rje1kUgtLv5jDRpPoWiQTXNk8txONyWSPbABf4Obh5No6ElUikpcoQXxVAqQ gv/PPdjQgO5C1H2bixzrsYVPrQL0TphmBoej04GgitSDoY5qWYtsWob+a7+h 5/Pory+9Y3ZGXEEtjOjSMGqFdiuF437XUBFph7WoJaQaPMiO2VodXVvCcLmU zcajnd7dBrVFTDRYtROWkjgnt6RAxpJOEvPVqNhUtUliBKzsjWxVNTBp4MmY 8RnLr7q6NGngbHfJmLETphbRTrvBWpu0Ruh5ftwWwkEwY+qkm/+w7lsjvq3v SiPEoZuQSY0bmCE4coKx1NDqBmbUDpoAHLPv64YfVPHbep4Yd2CiZsnPSBaA L1PTHkZFJLlgSJP8uuFcAYlUP7U2MVmA1FwZ7JKiaJiV087b6kotx15ajRAF keb7uqtfg4fcRtXWzrOWzkFt1GmMuEJxOhjd6eQr40mw0Td+WqirphskDMNo n7+BG58FiFveo/s9lMMSdy/C+ENQ5+CfDjqLrMFVw/iT8QUauPGJ8HLEvjS5 qMoiLtoJbxiGYRiGcQ/gPIe9qL2vV2DsRdAwDMMwDMMwDMMwDMMwDMMwDMMw DMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMw DMMwDMMwDMMwnhz/C2zEBg8= "], {{0, 92}, {764, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], BaseStyle->"ImageGraphics", ImageSize->Automatic, ImageSizeRaw->{764, 92}, PlotRange->{{0, 764}, {0, 92}}]], "Input"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"\[IndentingNewLine]", RowBox[{"Manipulate", "[", RowBox[{ RowBox[{ RowBox[{"Cdl", "=", RowBox[{"10", "^", "logCdl"}]}], ";", RowBox[{"kr1", "=", RowBox[{"10", "^", "logkr1"}]}], ";", RowBox[{"kr2", "=", RowBox[{"10", "^", "logkr2"}]}], ";", RowBox[{"kd", "=", RowBox[{"10", "^", "logkd"}]}], ";", RowBox[{"Kr1V", "=", RowBox[{"Kr1", "[", "Vc", "]"}]}], ";", RowBox[{"Kr2V", "=", RowBox[{"Kr2", "[", "Vc", "]"}]}], ";", RowBox[{"id", "=", RowBox[{"2", " ", "F", " ", "\[CapitalGamma]", " ", "kd"}]}], ";", "\[IndentingNewLine]", RowBox[{"Rct", "=", FractionBox[ RowBox[{ RowBox[{"kd", " ", "Kr1V"}], "+", RowBox[{"kd", " ", "Kr2V"}], "+", RowBox[{"Kr1V", " ", "Kr2V"}]}], RowBox[{ RowBox[{ "ar1", " ", "f", " ", "F", " ", "kd", " ", "Kr1V", " ", "Kr2V", " ", "\[CapitalGamma]"}], "+", RowBox[{ "ar2", " ", "f", " ", "F", " ", "kd", " ", "Kr1V", " ", "Kr2V", " ", "\[CapitalGamma]"}]}]]}], ";", RowBox[{"Rp", "=", FractionBox[ RowBox[{"Rct", " ", RowBox[{"(", RowBox[{"ar1", "+", "ar2"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"kd", " ", "Kr1V"}], "+", RowBox[{ RowBox[{"(", RowBox[{"kd", "+", "Kr1V"}], ")"}], " ", "Kr2V"}]}], ")"}]}], RowBox[{"2", " ", "kd", " ", RowBox[{"(", RowBox[{ RowBox[{"ar2", " ", "Kr1V"}], "+", RowBox[{"ar1", " ", "Kr2V"}]}], ")"}]}]]}], ";", RowBox[{"wn", "=", FractionBox[ RowBox[{ SqrtBox["2"], " ", SqrtBox[ RowBox[{"kd", " ", RowBox[{"(", RowBox[{ RowBox[{"ar2", " ", "Kr1V"}], "+", RowBox[{"ar1", " ", "Kr2V"}]}], ")"}]}]]}], SqrtBox[ RowBox[{"ar1", "+", "ar2"}]]]}], ";", RowBox[{"\[Zeta]", "=", FractionBox[ RowBox[{ RowBox[{"ar2", " ", RowBox[{"(", RowBox[{"kd", "+", "Kr1V"}], ")"}]}], "+", RowBox[{"ar1", " ", RowBox[{"(", RowBox[{"kd", "+", RowBox[{"2", " ", "Kr2V"}]}], ")"}]}]}], RowBox[{"2", " ", SqrtBox["2"], " ", SqrtBox[ RowBox[{"ar1", "+", "ar2"}]], " ", SqrtBox[ RowBox[{"kd", " ", RowBox[{"(", RowBox[{ RowBox[{"ar2", " ", "Kr1V"}], "+", RowBox[{"ar1", " ", "Kr2V"}]}], ")"}]}]]}]]}], ";", RowBox[{"lw", "=", RowBox[{"{", RowBox[{ RowBox[{"1", "/", RowBox[{"(", RowBox[{"Rct", " ", "Cdl"}], ")"}]}], ",", "wn"}], "}"}]}], ";", RowBox[{"logwmin", "=", RowBox[{"-", "5"}]}], ";", RowBox[{"logwmax", "=", "4"}], ";", "\[IndentingNewLine]", RowBox[{"RpVcpROhm", "=", "Rp"}], ";", "\[IndentingNewLine]", RowBox[{"(*", " ", "Zs", " ", "*)"}], " ", RowBox[{"ZX1Et", "=", RowBox[{ FractionBox[ RowBox[{"Kr1V", " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"ar1", "-", "ar2"}], ")"}], " ", "kd"}], "+", RowBox[{"ar1", " ", RowBox[{"(", RowBox[{"Kr2V", "+", "p"}], ")"}]}]}], ")"}], " ", "Rct"}], RowBox[{ RowBox[{"p", " ", RowBox[{"(", RowBox[{ RowBox[{"ar2", " ", "Kr1V"}], "+", RowBox[{"2", " ", "ar1", " ", "Kr2V"}], "+", RowBox[{ RowBox[{"(", RowBox[{"ar1", "+", "ar2"}], ")"}], " ", "p"}]}], ")"}]}], "+", RowBox[{"kd", " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"ar2", " ", "Kr1V"}], "+", RowBox[{"ar1", " ", "Kr2V"}]}], ")"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{"ar1", "+", "ar2"}], ")"}], " ", "p"}]}], ")"}]}]}]], "/", "RpVcpROhm"}]}], ";", "\[IndentingNewLine]", RowBox[{"(*", " ", "ZA", " ", "*)"}], " ", RowBox[{"ZX2Et", "=", RowBox[{ FractionBox[ RowBox[{"Kr2V", " ", RowBox[{"(", RowBox[{ RowBox[{"ar2", " ", "Kr1V"}], "-", RowBox[{ RowBox[{"(", RowBox[{"ar1", "-", "ar2"}], ")"}], " ", RowBox[{"(", RowBox[{"kd", "+", "p"}], ")"}]}]}], ")"}], " ", "Rct"}], RowBox[{ RowBox[{"p", " ", RowBox[{"(", RowBox[{ RowBox[{"ar2", " ", "Kr1V"}], "+", RowBox[{"2", " ", "ar1", " ", "Kr2V"}], "+", RowBox[{ RowBox[{"(", RowBox[{"ar1", "+", "ar2"}], ")"}], " ", "p"}]}], ")"}]}], "+", RowBox[{"kd", " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"ar2", " ", "Kr1V"}], "+", RowBox[{"ar1", " ", "Kr2V"}]}], ")"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{"ar1", "+", "ar2"}], ")"}], " ", "p"}]}], ")"}]}]}]], "/", "RpVcpROhm"}]}], ";", RowBox[{"ZqEt", "=", RowBox[{"ZX1Et", "+", "ZX2Et"}]}], ";", RowBox[{"Zf", "=", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"ar1", "+", "ar2"}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"kd", "+", "p"}], ")"}], " ", RowBox[{"(", RowBox[{"Kr1V", "+", "p"}], ")"}]}], "+", RowBox[{"Kr2V", " ", RowBox[{"(", RowBox[{"kd", "+", "Kr1V", "+", "p"}], ")"}]}]}], ")"}], " ", "Rct"}], RowBox[{ RowBox[{"p", " ", RowBox[{"(", RowBox[{ RowBox[{"ar2", " ", "Kr1V"}], "+", RowBox[{"2", " ", "ar1", " ", "Kr2V"}], "+", RowBox[{ RowBox[{"(", RowBox[{"ar1", "+", "ar2"}], ")"}], " ", "p"}]}], ")"}]}], "+", RowBox[{"kd", " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"ar2", " ", "Kr1V"}], "+", RowBox[{"ar1", " ", "Kr2V"}]}], ")"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{"ar1", "+", "ar2"}], ")"}], " ", "p"}]}], ")"}]}]}]]}], ";", RowBox[{"ZfEt", "=", RowBox[{"Zf", "/", "RpVcpROhm"}]}], ";", RowBox[{"ZEt", "=", RowBox[{ FractionBox["Zf", RowBox[{"1", "+", RowBox[{"p", " ", "Cdl", " ", "Zf"}]}]], "/", "RpVcpROhm"}]}], ";", "\[IndentingNewLine]", RowBox[{"g", "=", RowBox[{"GraphicsGrid", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{"if", "[", "VSta", "]"}], "/", "id"}], ",", RowBox[{"{", RowBox[{"VSta", ",", "Vmin", ",", "Vmax"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Vmin", ",", "Vmax"}], "}"}], ",", "All"}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"AbsoluteThickness", "[", "2", "]"}], "}"}]}], ",", RowBox[{"Frame", "\[Rule]", "True"}], ",", "\[IndentingNewLine]", RowBox[{"Epilog", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"AbsolutePointSize", "[", "5", "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{"Vc", ",", " ", RowBox[{ RowBox[{"if", "[", "Vc", "]"}], "/", "id"}]}], "}"}], "]"}]}], "}"}]}], ",", RowBox[{"FrameLabel", "->", RowBox[{"{", RowBox[{"\"\<\!\(\* StyleBox[\"E\", FontSlant->\"Italic\"]\)/V\>\"", ",", "\"\<\!\(\*SubscriptBox[\"i\", StyleBox[\"\\\"\\\\"\", FontWeight->\"Plain\"]]\)/|\!\(\*SubscriptBox[\"i\", StyleBox[\"\\\"\\\\"\", FontWeight->\"Plain\"]]\)|\>\""}], "}"}]}], ",", RowBox[{"AspectRatio", "\[Rule]", RowBox[{"1", "/", "GoldenRatio"}]}], ",", RowBox[{"Axes", "\[Rule]", "None"}], ",", RowBox[{"BaseStyle", "\[Rule]", "monStyle"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Vmin", ",", "Vmax"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1.05"}], ",", "0"}], "}"}]}], "}"}]}], ",", RowBox[{"FrameTicks", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Vmin", ",", "0", ",", "Vmax"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "0"}], "}"}], ",", "None", ",", "None"}], "}"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "250"}]}], "]"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[Theta]s", "[", "VSta", "]"}], ",", RowBox[{"\[Theta]A", "[", "VSta", "]"}], ",", RowBox[{"\[Theta]A2", "[", "VSta", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"VSta", ",", "Vmin", ",", "Vmax"}], "}"}], ",", RowBox[{"Frame", "\[Rule]", "True"}], ",", RowBox[{"FrameLabel", "->", RowBox[{"{", RowBox[{"\"\<\!\(\* StyleBox[\"E\", FontSlant->\"Italic\"]\)/V\>\"", ",", "\"\<\[Theta]\>\""}], "}"}]}], ",", RowBox[{"Axes", "\[Rule]", "None"}], ",", RowBox[{"FrameTicks", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "0.4"}], ",", "0", ",", "0.4"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "0.5", ",", "1"}], "}"}], ",", "None", ",", "None"}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"lHue", "[", RowBox[{"[", "3", "]"}], "]"}], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"lHue", "[", RowBox[{"[", "4", "]"}], "]"}], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"lHue", "[", RowBox[{"[", "2", "]"}], "]"}], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "}"}]}], "}"}]}], ",", RowBox[{"Epilog", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"AbsolutePointSize", "[", "5", "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{"Vc", ",", RowBox[{"\[Theta]s", "[", "Vc", "]"}]}], "}"}], "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{"Vc", ",", RowBox[{"\[Theta]A", "[", "Vc", "]"}]}], "}"}], "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{"Vc", ",", RowBox[{"\[Theta]A2", "[", "Vc", "]"}]}], "}"}], "]"}], ",", RowBox[{"lHue", "[", RowBox[{"[", "3", "]"}], "]"}], ",", RowBox[{"Text", "[", RowBox[{ "\"\<\!\(\*SubscriptBox[\(\[Theta]\), \(\"\\"\)]\)\>\"", ",", RowBox[{"Scaled", "[", RowBox[{"{", RowBox[{"0.9", ",", "0.9"}], "}"}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "0"}], "}"}]}], "]"}], ",", RowBox[{"lHue", "[", RowBox[{"[", "4", "]"}], "]"}], ",", RowBox[{"Text", "[", RowBox[{ "\"\<\!\(\*SubscriptBox[\(\[Theta]\), \(\"\\"\)]\)\>\"", ",", RowBox[{"Scaled", "[", RowBox[{"{", RowBox[{"0.9", ",", "0.75"}], "}"}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "0"}], "}"}]}], "]"}], ",", RowBox[{"lHue", "[", RowBox[{"[", "2", "]"}], "]"}], ",", RowBox[{"Text", "[", RowBox[{ "\"\<\!\(\*SubscriptBox[\(\[Theta]\), \ \(\"\\"\)]\)\>\"", ",", RowBox[{"Scaled", "[", RowBox[{"{", RowBox[{"0.9", ",", "0.6"}], "}"}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "0"}], "}"}]}], "]"}]}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Vmin", ",", "Vmax"}], "}"}], ",", "All"}], "}"}]}], ",", RowBox[{"BaseStyle", "\[Rule]", "monStyle"}], ",", RowBox[{"AspectRatio", "\[Rule]", RowBox[{"1", "/", "GoldenRatio"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "250"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"ParametricPlot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZX1Et", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZX1Et", "]"}]}]}], "}"}], "/.", RowBox[{"p", "\[Rule]", RowBox[{"I", " ", RowBox[{"10", "^", "logw"}]}]}]}], ",", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZX2Et", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZX2Et", "]"}]}]}], "}"}], "/.", RowBox[{"p", "->", RowBox[{"I", " ", RowBox[{"10", "^", "logw"}]}]}]}], ",", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZqEt", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZqEt", "]"}]}]}], "}"}], "/.", RowBox[{"p", "\[Rule]", RowBox[{"I", " ", RowBox[{"10", "^", "logw"}]}]}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"logw", ",", "logwmin", ",", "logwmax"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "Automatic"}], ",", RowBox[{"Frame", "\[Rule]", "True"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"lHue", "[", RowBox[{"[", "3", "]"}], "]"}], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"lHue", "[", RowBox[{"[", "4", "]"}], "]"}], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"lHue", "[", RowBox[{"[", "5", "]"}], "]"}], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "}"}]}], "}"}]}], ",", RowBox[{"FrameTicks", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}], ",", "None", ",", "None"}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"ImageSize", "\[Rule]", RowBox[{"{", RowBox[{"250", ",", "250"}], "}"}]}], ",", RowBox[{"Epilog", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"AbsolutePointSize", "[", "6", "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Point", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZX1Et", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZX1Et", "]"}]}]}], "}"}], "/.", RowBox[{"p", "\[Rule]", RowBox[{"I", " ", RowBox[{"10", "^", "logwc"}]}]}]}], "]"}], ",", RowBox[{"Point", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZX2Et", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZX2Et", "]"}]}]}], "}"}], "/.", RowBox[{"p", "\[Rule]", RowBox[{"I", " ", RowBox[{"10", "^", "logwc"}]}]}]}], "]"}], ",", RowBox[{"Point", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZqEt", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZqEt", "]"}]}]}], "}"}], "/.", RowBox[{"p", "\[Rule]", RowBox[{"I", " ", RowBox[{"10", "^", "logwc"}]}]}]}], "]"}]}], "}"}], ",", RowBox[{"lHue", "[", RowBox[{"[", "3", "]"}], "]"}], ",", RowBox[{"Text", "[", RowBox[{ "\"\<\!\(\*SubscriptBox[\(Z\), \(\\\"\\\\\"\)]\)\>\"", ",", RowBox[{"Scaled", "[", RowBox[{"{", RowBox[{"0.1", ",", "0.9"}], "}"}], "]"}]}], "]"}], ",", RowBox[{"lHue", "[", RowBox[{"[", "4", "]"}], "]"}], ",", RowBox[{"Text", "[", RowBox[{ "\"\<\!\(\*SubscriptBox[\(Z\), \(\\\"\\\\\"\)]\)\>\"", ",", RowBox[{"Scaled", "[", RowBox[{"{", RowBox[{"0.2", ",", "0.9"}], "}"}], "]"}]}], "]"}], ",", RowBox[{"lHue", "[", RowBox[{"[", "5", "]"}], "]"}], ",", RowBox[{"Text", "[", RowBox[{ "\"\<\!\(\*SubscriptBox[\(Z\), \(\[Theta]\)]\)\>\"", ",", RowBox[{"Scaled", "[", RowBox[{"{", RowBox[{"0.3", ",", "0.9"}], "}"}], "]"}]}], "]"}]}], "}"}]}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\\\\"\)]\)\>\"", ",", "\"\<- Im Z/\!\(\*SubscriptBox[\(R\), \(\\\"\\\\\"\)]\)\ \>\""}], "}"}]}], ",", RowBox[{"BaseStyle", "->", "monStyle"}]}], "]"}], ",", RowBox[{"ParametricPlot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZEt", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZEt", "]"}]}]}], "}"}], "/.", RowBox[{"p", "\[Rule]", RowBox[{"I", " ", RowBox[{"10", "^", "logw"}]}]}]}], ",", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZfEt", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZfEt", "]"}]}]}], "}"}], "/.", RowBox[{"p", "->", RowBox[{"I", " ", RowBox[{"10", "^", "logw"}]}]}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"logw", ",", "logwmin", ",", "logwmax"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "Automatic"}], ",", RowBox[{"Frame", "\[Rule]", "True"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Purple", ",", RowBox[{"AbsoluteThickness", "[", "1", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"Blue", ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "}"}]}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"FrameTicks", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}], ",", "None", ",", "None"}], "}"}]}], ",", RowBox[{"ImageSize", "\[Rule]", RowBox[{"{", RowBox[{"250", ",", "250"}], "}"}]}], ",", RowBox[{"Epilog", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"AbsolutePointSize", "[", "6", "]"}], ",", RowBox[{"If", "[", RowBox[{"wc1", ",", RowBox[{"{", RowBox[{"Red", ",", RowBox[{"Point", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZEt", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZEt", "]"}]}]}], "}"}], "/.", RowBox[{"p", "->", RowBox[{"I", " ", RowBox[{"lw", "[", RowBox[{"[", "1", "]"}], "]"}]}]}]}], "]"}]}], "}"}], ",", RowBox[{"{", "}"}]}], "]"}], ",", RowBox[{"Point", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZEt", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZEt", "]"}]}]}], "}"}], "/.", RowBox[{"p", "\[Rule]", RowBox[{"I", " ", RowBox[{"10", "^", "logwc"}]}]}]}], "]"}], ",", RowBox[{"Point", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "ZfEt", "]"}], ",", RowBox[{"-", RowBox[{"Im", "[", "ZfEt", "]"}]}]}], "}"}], "/.", RowBox[{"p", "\[Rule]", RowBox[{"I", " ", RowBox[{"10", "^", "logwc"}]}]}]}], "]"}], ",", "Purple", ",", RowBox[{"Text", "[", RowBox[{"\"\\"", ",", RowBox[{"Scaled", "[", RowBox[{"{", RowBox[{"0.1", ",", "0.85"}], "}"}], "]"}]}], "]"}], ",", "Blue", ",", RowBox[{"Text", "[", RowBox[{ "\"\<\!\(\*SubscriptBox[\(Z\), \(\"\\"\)]\)\>\"", ",", RowBox[{"Scaled", "[", RowBox[{"{", RowBox[{"0.2", ",", "0.85"}], "}"}], "]"}]}], "]"}], ",", RowBox[{"AbsolutePointSize", "[", "6", "]"}]}], "}"}]}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\\"\)]\)\>\"", ",", "\"\<- Im Z/\!\(\*SubscriptBox[\(R\), \ \(\"\\"\)]\)\>\""}], "}"}]}], ",", RowBox[{"BaseStyle", "->", "monStyle"}]}], "]"}]}], "}"}]}], "}"}], ",", RowBox[{"ImageSize", "\[Rule]", "500"}]}], "]"}]}]}], ",", RowBox[{"Style", "[", RowBox[{ "\"\< \!\(\*SuperscriptBox[\(A\), \ \(+\)]\) + s + \!\(\*SuperscriptBox[\(e\), \(-\)]\) \!\(\*OverscriptBox[\(\ \[RightArrow]\), SubscriptBox[\(K\), \(r1\)]]\) A,s\>\"", ",", "Bold", ",", "Medium"}], "]"}], ",", RowBox[{"Style", "[", RowBox[{ "\"\< \!\(\*SuperscriptBox[\(A\), \ \(+\)]\) + A,s + \!\(\*SuperscriptBox[\(e\), \(-\)]\) \!\(\*OverscriptBox[\(\ \[RightArrow]\), SubscriptBox[\(K\), \(r2\)]]\) \!\(\*SubscriptBox[\(A\), \(2\ \)]\),s\>\"", ",", "Bold", ",", "Medium"}], "]"}], ",", RowBox[{"Style", "[", RowBox[{ "\"\< \!\(\*SubscriptBox[\(A\), \ \(2\)]\),s \!\(\*OverscriptBox[\(\[RightArrow]\), SubscriptBox[\(k\), \(d\)]]\ \) \!\(\*SubscriptBox[\(A\), \(2\)]\) + s\>\"", ",", "Bold", ",", "Medium"}], "]"}], ",", "Delimiter", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "logkr1", ",", "0", ",", "\"\\""}], "}"}], ",", RowBox[{"-", "1"}], ",", "1", ",", RowBox[{"LabelStyle", "\[Rule]", "Large"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "ar1", ",", "0.5", ",", "\"\<\!\(\*SubscriptBox[\(\[Alpha]\), \(r1\)]\)\>\""}], "}"}], ",", "0.2", ",", "0.8", ",", "0.1", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"logkr2", ",", RowBox[{"-", "1"}], ",", "\"\\""}], "}"}], ",", RowBox[{"-", "1"}], ",", "1", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "ar2", ",", "0.5", ",", "\"\<\!\(\*SubscriptBox[\(\[Alpha]\), \(r2\)]\)\>\""}], "}"}], ",", "0.2", ",", "0.8", ",", "0.1", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "logkd", ",", "0", ",", "\"\\""}], "}"}], ",", RowBox[{"-", "1"}], ",", "1", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"logCdl", ",", RowBox[{"-", "5"}], ",", "\"\\""}], "}"}], ",", RowBox[{"-", "6"}], ",", RowBox[{"-", "3"}], ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", "Delimiter", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Vc", ",", "0.07", ",", "\"\\""}], "}"}], ",", "Vmin", ",", "Vmax", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "logwc", ",", "logwmin", ",", "\"\\""}], "}"}], ",", "logwmin", ",", "logwmax", ",", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "wc1", ",", "False", ",", "\"\<\!\(\*SubscriptBox[\(\[Omega]\), \(c1\)]\)\>\""}], "}"}], ",", RowBox[{"{", RowBox[{"False", ",", "True"}], "}"}]}], "}"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"Style", "[", RowBox[{ "\"\\"", ",", "Medium"}], "]"}], "}"}]}], ",", RowBox[{"SaveDefinitions", "\[Rule]", "True"}], ",", RowBox[{"Initialization", "\[RuleDelayed]", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Kr1", "[", "V_", "]"}], ":=", RowBox[{"kr1", " ", RowBox[{"Exp", "[", RowBox[{ RowBox[{"-", "ar1"}], " ", "f", " ", "V"}], "]"}]}]}], ";", RowBox[{ RowBox[{"Kr2", "[", "V_", "]"}], ":=", RowBox[{"kr2", " ", RowBox[{"Exp", "[", RowBox[{ RowBox[{"-", "ar2"}], " ", "f", " ", "V"}], "]"}]}]}], ";", RowBox[{ RowBox[{"\[Theta]s", "[", "V_", "]"}], ":=", FractionBox[ RowBox[{"kd", " ", RowBox[{"Kr2", "[", "V", "]"}]}], RowBox[{ RowBox[{"kd", " ", RowBox[{"Kr1", "[", "V", "]"}]}], "+", RowBox[{"kd", " ", RowBox[{"Kr2", "[", "V", "]"}]}], "+", RowBox[{ RowBox[{"Kr1", "[", "V", "]"}], " ", RowBox[{"Kr2", "[", "V", "]"}]}]}]]}], ";", RowBox[{ RowBox[{"\[Theta]A", "[", "V_", "]"}], ":=", FractionBox[ RowBox[{"kd", " ", RowBox[{"Kr1", "[", "V", "]"}]}], RowBox[{ RowBox[{"kd", " ", RowBox[{"Kr1", "[", "V", "]"}]}], "+", RowBox[{"kd", " ", RowBox[{"Kr2", "[", "V", "]"}]}], "+", RowBox[{ RowBox[{"Kr1", "[", "V", "]"}], " ", RowBox[{"Kr2", "[", "V", "]"}]}]}]]}], ";", RowBox[{ RowBox[{"\[Theta]A2", "[", "V_", "]"}], ":=", FractionBox[ RowBox[{ RowBox[{"Kr1", "[", "V", "]"}], " ", RowBox[{"Kr2", "[", "V", "]"}]}], RowBox[{ RowBox[{"kd", " ", RowBox[{"Kr1", "[", "V", "]"}]}], "+", RowBox[{"kd", " ", RowBox[{"Kr2", "[", "V", "]"}]}], "+", RowBox[{ RowBox[{"Kr1", "[", "V", "]"}], " ", RowBox[{"Kr2", "[", "V", "]"}]}]}]]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"if", "[", "V_", "]"}], ":=", RowBox[{"-", FractionBox[ RowBox[{"2", " ", "F", " ", "kd", " ", "\[CapitalGamma]", " ", RowBox[{"Kr1", "[", "V", "]"}], " ", RowBox[{"Kr2", "[", "V", "]"}]}], RowBox[{ RowBox[{"kd", " ", RowBox[{"Kr1", "[", "V", "]"}]}], "+", RowBox[{"kd", " ", RowBox[{"Kr2", "[", "V", "]"}]}], "+", RowBox[{ RowBox[{"Kr1", "[", "V", "]"}], " ", RowBox[{"Kr2", "[", "V", "]"}]}]}]]}]}], ";", "\[IndentingNewLine]", RowBox[{"Vmin", "=", RowBox[{"-", "0.5"}]}], ";", RowBox[{"Vmax", "=", "0.3"}], ";", RowBox[{"\[CapitalGamma]", "=", RowBox[{"1.", " ", RowBox[{"10", "^", RowBox[{"-", "9"}]}]}]}], ";", RowBox[{"f", "=", "38.9"}], ";", RowBox[{"Farad", "=", RowBox[{"F", "=", "96485."}]}], ";", RowBox[{"lHue", "=", RowBox[{"{", RowBox[{"Blue", ",", "Purple", ",", RowBox[{"Hue", "[", RowBox[{"0.1421359549995791`", ",", "0.6`", ",", "0.6`"}], "]"}], ",", RowBox[{"Hue", "[", RowBox[{"0.37820393249936934`", ",", "0.6`", ",", "0.6`"}], "]"}], ",", RowBox[{"Hue", "[", RowBox[{"0.6142719099991583`", ",", "0.6`", ",", "0.6`"}], "]"}]}], "}"}]}], ";", RowBox[{"monStyle", "=", RowBox[{"{", RowBox[{ RowBox[{"FontFamily", "->", "\"\\""}], ",", RowBox[{"FontSize", "\[Rule]", "12"}]}], "}"}]}]}], ")"}]}]}], "\[IndentingNewLine]", "]"}]}]], "Input", Editable->False, CellOpen->False, CellChangeTimes->{{3.404272476373662*^9, 3.404272477958503*^9}, 3.404272668581314*^9, {3.4042727232240887`*^9, 3.404272728454939*^9}, { 3.404272786841215*^9, 3.404272804870813*^9}, {3.404272838309691*^9, 3.4042728618375607`*^9}, {3.4042729526001043`*^9, 3.4042730381516457`*^9}, {3.404273079691609*^9, 3.404273217892606*^9}, { 3.404273294955968*^9, 3.404273298760388*^9}, {3.404273387794849*^9, 3.4042734503165693`*^9}, {3.4042734961086283`*^9, 3.404273547525057*^9}, { 3.404273625605628*^9, 3.404273650497052*^9}, {3.404273731173894*^9, 3.404273767096957*^9}, {3.404273799830763*^9, 3.4042738707648983`*^9}, { 3.40427393239679*^9, 3.404273934883729*^9}, {3.404273974145442*^9, 3.404274003508957*^9}, {3.404274114255464*^9, 3.404274136338912*^9}, { 3.4042741762935133`*^9, 3.404274195910239*^9}, 3.404274257986496*^9, { 3.404274329300447*^9, 3.404274329827894*^9}, {3.404274362144527*^9, 3.4042743661154137`*^9}, {3.404281794664309*^9, 3.404281797246611*^9}, { 3.404281837182343*^9, 3.404281875096817*^9}, {3.4042819679357033`*^9, 3.404282033539279*^9}, 3.404282085939872*^9, {3.404282140862443*^9, 3.404282160336235*^9}, {3.404282299291065*^9, 3.404282345207913*^9}, { 3.404282812673225*^9, 3.404282870347505*^9}, 3.4042829101123857`*^9, { 3.404282941905983*^9, 3.4042829483433933`*^9}, {3.404283073216866*^9, 3.404283082327835*^9}, {3.404283141356715*^9, 3.404283182821355*^9}, { 3.4042832155227327`*^9, 3.404283258833531*^9}, {3.4042833626548147`*^9, 3.404283398426738*^9}, {3.404390659988315*^9, 3.404390689351815*^9}, { 3.4043907568818893`*^9, 3.404390784286687*^9}, {3.404390860657833*^9, 3.40439091742135*^9}, {3.4043910359543037`*^9, 3.404391054714142*^9}, { 3.404391767968842*^9, 3.40439188885679*^9}, {3.404391935788953*^9, 3.404391940364382*^9}, {3.404392002048643*^9, 3.404392004447742*^9}, { 3.404392051525515*^9, 3.404392068363361*^9}, 3.40439214659828*^9, { 3.404392703278009*^9, 3.404392771112996*^9}, {3.4043928035315*^9, 3.404392840756844*^9}, {3.404392972994961*^9, 3.4043929740834846`*^9}, { 3.4044290030768223`*^9, 3.404429021544701*^9}, {3.404429287683379*^9, 3.404429317399768*^9}, {3.404429368432976*^9, 3.404429454063241*^9}, { 3.404429505178494*^9, 3.404429557925486*^9}, {3.4044306288480873`*^9, 3.40443063643995*^9}, {3.404436058103282*^9, 3.40443606382516*^9}, { 3.404442176375844*^9, 3.404442230132934*^9}, {3.404442261628434*^9, 3.404442267453909*^9}, {3.404442314318016*^9, 3.404442328013001*^9}, { 3.4044423891008577`*^9, 3.404442389940579*^9}, {3.4044425469300003`*^9, 3.404442548202819*^9}, {3.404442639671391*^9, 3.404442640118331*^9}, 3.404456693542221*^9, {3.4044731628011703`*^9, 3.404473224992757*^9}, { 3.404473319237414*^9, 3.404473331786914*^9}, {3.404473366700746*^9, 3.404473438662547*^9}, {3.404473479901114*^9, 3.4044735206668663`*^9}, { 3.404473554174704*^9, 3.404473559247058*^9}, {3.404473610185067*^9, 3.404473670607089*^9}, 3.404473917120986*^9, {3.404473956994831*^9, 3.4044739580180397`*^9}, {3.404474088931505*^9, 3.4044741427717657`*^9}, { 3.4044741754491243`*^9, 3.404474290693391*^9}, {3.404474329701288*^9, 3.404474330346374*^9}, {3.404474373890414*^9, 3.404474374373801*^9}, { 3.404474404892201*^9, 3.404474408099757*^9}, {3.4044747799074163`*^9, 3.404474789322126*^9}, {3.4044748366129103`*^9, 3.404474847666203*^9}, { 3.404475972114959*^9, 3.404475987975752*^9}, {3.404476018684896*^9, 3.404476038872746*^9}, {3.4045301344013033`*^9, 3.4045301513930283`*^9}, { 3.404530190584299*^9, 3.404530267364694*^9}, {3.404530412065104*^9, 3.404530421363574*^9}, {3.404532943959751*^9, 3.40453302831153*^9}, { 3.404797302593358*^9, 3.404797348319078*^9}, {3.404797395180875*^9, 3.404797445296929*^9}, {3.404797512936145*^9, 3.404797531923532*^9}, { 3.404797584908869*^9, 3.404797680615205*^9}, {3.404797888873632*^9, 3.404797927843219*^9}, {3.40479798203458*^9, 3.4047979846574163`*^9}, { 3.404799350410967*^9, 3.4047993800733356`*^9}, {3.4047994156019373`*^9, 3.40479946595382*^9}, 3.404799543220315*^9, {3.404799579114188*^9, 3.404799613458438*^9}, {3.4047996653481293`*^9, 3.404799762097822*^9}, { 3.4047998049182034`*^9, 3.404799895494069*^9}, {3.404799942573794*^9, 3.404799954307382*^9}, {3.404800020381646*^9, 3.40480040525935*^9}, { 3.404800550808537*^9, 3.404800608631371*^9}, {3.404800645053679*^9, 3.4048007327873917`*^9}, {3.404800953337172*^9, 3.404800971605794*^9}, { 3.404801514373068*^9, 3.4048015834412746`*^9}, {3.404801626280081*^9, 3.404801679756674*^9}, {3.4048017255455723`*^9, 3.404801764976033*^9}, { 3.4048022738128366`*^9, 3.404802309061829*^9}, {3.404802472835491*^9, 3.404802488648676*^9}, {3.404802873068316*^9, 3.404802940995611*^9}, { 3.404803021397653*^9, 3.404803089530534*^9}, {3.404803131352415*^9, 3.40480331416397*^9}, {3.404803390688555*^9, 3.404803399355961*^9}, { 3.404804076089295*^9, 3.4048040991309633`*^9}, {3.40486865759769*^9, 3.404868695689033*^9}, {3.404868727872806*^9, 3.404868752113332*^9}, { 3.4048689449556093`*^9, 3.404868945390654*^9}, {3.404868977091063*^9, 3.404868999611095*^9}, {3.4048690325438747`*^9, 3.4048691321976748`*^9}, { 3.404870017553321*^9, 3.4048700526476727`*^9}, {3.404870143865489*^9, 3.404870165374588*^9}, {3.404870236586739*^9, 3.404870241266412*^9}, { 3.40487782873768*^9, 3.404877843702971*^9}, {3.40487789143778*^9, 3.4048780145768547`*^9}, {3.404878061361676*^9, 3.4048780949841347`*^9}, { 3.404878133750465*^9, 3.404878280232869*^9}, {3.404878337386598*^9, 3.4048783719798193`*^9}, {3.404878438417426*^9, 3.4048784934083*^9}, { 3.404878523465645*^9, 3.4048785775459213`*^9}, {3.405511207402516*^9, 3.4055112246878357`*^9}, {3.405511272072027*^9, 3.4055113144445868`*^9}, { 3.4055113899812098`*^9, 3.4055114055521107`*^9}, 3.4055114565897427`*^9, { 3.405511542447608*^9, 3.405511544702585*^9}, {3.405511578649404*^9, 3.4055115867779827`*^9}, {3.4058475004512653`*^9, 3.4058475057616663`*^9}, {3.405847683675837*^9, 3.405847742261528*^9}, { 3.405847813034894*^9, 3.405847862566736*^9}, {3.4058479034737253`*^9, 3.405847915737713*^9}, {3.405847972630558*^9, 3.405848071685534*^9}, { 3.405848263832196*^9, 3.405848371901084*^9}, {3.4058484122428207`*^9, 3.405848434439968*^9}, {3.4058485048212976`*^9, 3.4058485149310703`*^9}, { 3.4058488561629763`*^9, 3.405848893735724*^9}, {3.405849690954006*^9, 3.4058497433152037`*^9}, {3.4058497908573227`*^9, 3.40584989515611*^9}, { 3.405849957531012*^9, 3.4058499590584803`*^9}, {3.405849992307493*^9, 3.405850043794392*^9}, {3.405850099359001*^9, 3.40585011759512*^9}, { 3.4058517151923227`*^9, 3.405851779818666*^9}, {3.407381728101392*^9, 3.407381751973065*^9}, {3.407381805775076*^9, 3.407381829965534*^9}, { 3.407381996344166*^9, 3.407382069327729*^9}, {3.4073823592813883`*^9, 3.407382364765223*^9}, {3.4091446948309183`*^9, 3.409144704757983*^9}, { 3.409145150121394*^9, 3.409145169748128*^9}, {3.409145221801231*^9, 3.40914534214545*^9}, {3.409145555864357*^9, 3.409145570587775*^9}, { 3.4091457201985807`*^9, 3.409145810944936*^9}, {3.4091979660446568`*^9, 3.409197989979432*^9}, {3.40919803855297*^9, 3.409198045609851*^9}, { 3.409198098466488*^9, 3.409198112257579*^9}, {3.4091981504837227`*^9, 3.409198153522263*^9}, {3.4091983396772823`*^9, 3.409198394447831*^9}, { 3.409198430147241*^9, 3.4091985144139557`*^9}, {3.4091985569382057`*^9, 3.409198645920292*^9}, {3.409198680357965*^9, 3.409198759343459*^9}, 3.409198797333907*^9, 3.409198858249975*^9, {3.409198898586858*^9, 3.4091989590514393`*^9}, {3.409199010753881*^9, 3.409199011201825*^9}, { 3.409199080287072*^9, 3.4091990871999607`*^9}, {3.4091991313120327`*^9, 3.4091991506497393`*^9}, {3.40919921656496*^9, 3.409199219103196*^9}, { 3.409199254442206*^9, 3.409199358914257*^9}, {3.409199406952813*^9, 3.409199435516676*^9}, {3.409199472250305*^9, 3.4091994758022137`*^9}, { 3.4091997282430983`*^9, 3.409199729777094*^9}, {3.409199856059022*^9, 3.4091998895127573`*^9}, {3.4091999729793043`*^9, 3.409199974582591*^9}, 3.4092000546359787`*^9, {3.4092001436980133`*^9, 3.4092001934302177`*^9}, { 3.409200247031893*^9, 3.409200349184458*^9}, {3.409200427862976*^9, 3.409200432516345*^9}, {3.409200542244075*^9, 3.40920055184779*^9}, { 3.4092005960240927`*^9, 3.409200599302109*^9}, 3.409659897133309*^9, { 3.40966001382692*^9, 3.409660023471949*^9}, {3.4096603583021812`*^9, 3.409660398665349*^9}, {3.409826369914709*^9, 3.409826549832324*^9}, { 3.4098267129596767`*^9, 3.409826763001767*^9}, {3.409827039601323*^9, 3.409827041308535*^9}, 3.4098357049570847`*^9, {3.409836076781519*^9, 3.409836082369824*^9}, {3.4098362001620293`*^9, 3.409836205395507*^9}, { 3.409836243672278*^9, 3.409836250163774*^9}, {3.4098870624197893`*^9, 3.409887079496112*^9}, {3.409887480167531*^9, 3.409887579914795*^9}, { 3.4098876544890757`*^9, 3.409887764519596*^9}, {3.409887859654282*^9, 3.4098879077556553`*^9}, {3.409887976652581*^9, 3.409888061869278*^9}, { 3.40988810046828*^9, 3.409888150048283*^9}, 3.4098882021345673`*^9, { 3.409888254379335*^9, 3.409888294266397*^9}, {3.4098883322826757`*^9, 3.40988833307551*^9}, {3.409888458439542*^9, 3.4098884772445374`*^9}, { 3.409888971709462*^9, 3.409888973717918*^9}, {3.409889033847617*^9, 3.409889034565271*^9}, {3.409889118168438*^9, 3.40988912242384*^9}, { 3.409889184644986*^9, 3.409889245842848*^9}, {3.4098893768829813`*^9, 3.409889398954444*^9}, 3.409889446666225*^9, {3.409889504149583*^9, 3.409889509922298*^9}, {3.409889553883994*^9, 3.409889608326518*^9}, { 3.4098896500586777`*^9, 3.409889656222608*^9}, {3.40988977856738*^9, 3.40988981125292*^9}, {3.409889870395122*^9, 3.4098899106131983`*^9}, { 3.409889969637135*^9, 3.409889974296064*^9}, {3.4098902765772257`*^9, 3.409890283751268*^9}, {3.409890415914304*^9, 3.409890418997225*^9}, { 3.4098905365496683`*^9, 3.409890552736751*^9}, {3.4098906794376574`*^9, 3.409890683419834*^9}, {3.409890862230513*^9, 3.409890862679196*^9}, { 3.409890930368342*^9, 3.409891162540668*^9}, 3.409891262503067*^9, { 3.409891318307454*^9, 3.409891396810326*^9}, {3.40989148470792*^9, 3.409891561310915*^9}, {3.4098916666894617`*^9, 3.409891745151566*^9}, { 3.409891790173766*^9, 3.409891793373557*^9}, {3.409961984636973*^9, 3.409961986696422*^9}, {3.409962096004808*^9, 3.4099627009814453`*^9}, 3.409962748548418*^9, {3.4099629640122538`*^9, 3.4099629663158293`*^9}, { 3.409963014267139*^9, 3.4099630700368023`*^9}, {3.4099631037820683`*^9, 3.409963195971099*^9}, {3.409963538379722*^9, 3.409963546515532*^9}, { 3.409963582654696*^9, 3.409963585095978*^9}, {3.409963619057889*^9, 3.409963652687055*^9}, {3.409963687375931*^9, 3.409963695576548*^9}, { 3.409963766561234*^9, 3.4099637943730783`*^9}, {3.409963830067019*^9, 3.409963905879588*^9}, {3.409964004179577*^9, 3.409964017983913*^9}, { 3.409964114927113*^9, 3.409964125998127*^9}, {3.4099642392248297`*^9, 3.409964267664547*^9}, {3.409964354097486*^9, 3.4099643557036877`*^9}, { 3.4099760538093853`*^9, 3.409976069020897*^9}, {3.409976110760868*^9, 3.4099761636454268`*^9}, {3.4099762146885977`*^9, 3.409976215664937*^9}, { 3.40997630849279*^9, 3.409976396858018*^9}, {3.409976457868639*^9, 3.4099764704991198`*^9}, 3.409976598000903*^9, {3.4099766817519073`*^9, 3.409976687061287*^9}, {3.4099767313396597`*^9, 3.4099767335465918`*^9}, 3.409976823154581*^9, {3.410149429685978*^9, 3.41014953731946*^9}, 3.410149977823204*^9, {3.410150030864727*^9, 3.410150043755621*^9}, 3.410150428436063*^9, {3.410150572093894*^9, 3.410150580297813*^9}, { 3.410150632005249*^9, 3.410150660879929*^9}, {3.4101507708731203`*^9, 3.410150827384691*^9}, {3.410150874753819*^9, 3.410150892525072*^9}, { 3.41059833537533*^9, 3.410598346089198*^9}, {3.4105983867993107`*^9, 3.410598444791081*^9}, {3.410598481020668*^9, 3.410598579557877*^9}, { 3.410598618730739*^9, 3.410598619118001*^9}, 3.414811364388958*^9, { 3.4148114001071568`*^9, 3.414811441516014*^9}, {3.414811547903932*^9, 3.414811557919297*^9}, {3.4148124696541777`*^9, 3.414812506325016*^9}, { 3.414812588522403*^9, 3.4148126401892433`*^9}, {3.414813362528664*^9, 3.414813364430286*^9}, {3.4694288382611017`*^9, 3.469428847664545*^9}, { 3.469435041462233*^9, 3.469435147964477*^9}, {3.4694357922103033`*^9, 3.469435835447207*^9}, {3.469435987112392*^9, 3.46943601265701*^9}, { 3.469436230184091*^9, 3.4694363386256237`*^9}, 3.469436473729437*^9, { 3.469436523289872*^9, 3.469436572485243*^9}, {3.4694366966395693`*^9, 3.4694367094788637`*^9}, {3.4694369369434958`*^9, 3.469437009603067*^9}, { 3.469437076742013*^9, 3.469437084625305*^9}, {3.469437128515285*^9, 3.469437274633304*^9}, {3.4694373060213203`*^9, 3.4694373209983253`*^9}, { 3.46943735474184*^9, 3.4694373592685547`*^9}, {3.469437440605237*^9, 3.469437548455432*^9}, {3.4694375795837517`*^9, 3.469437588215225*^9}, { 3.469437619335788*^9, 3.469437663459331*^9}, {3.469437695489674*^9, 3.4694376962041807`*^9}, {3.469437731661433*^9, 3.469437772510419*^9}, { 3.4694378087008753`*^9, 3.469437875790481*^9}, {3.469437926904552*^9, 3.469437933067576*^9}, {3.469440457151668*^9, 3.469440496313085*^9}, { 3.46944060362885*^9, 3.469440666442787*^9}, {3.469440697713908*^9, 3.469440723747685*^9}, {3.4694408418262053`*^9, 3.469440846342381*^9}, { 3.469440948875111*^9, 3.469440951533358*^9}, {3.4694410125906467`*^9, 3.4694410132398148`*^9}, {3.46944119694214*^9, 3.469441204785632*^9}, 3.469443977455227*^9, {3.4694440168266573`*^9, 3.469444019895611*^9}, { 3.469444086978272*^9, 3.469444091848132*^9}, {3.469444147669087*^9, 3.4694441727812643`*^9}, 3.469444229448875*^9, {3.469444282852724*^9, 3.469444361178294*^9}, {3.46944440691356*^9, 3.4694444373133497`*^9}, { 3.469444509444956*^9, 3.469444553225205*^9}, {3.469444715771665*^9, 3.469444723330936*^9}, {3.469444755521223*^9, 3.469444801293086*^9}, { 3.469444870720992*^9, 3.469444880524416*^9}, {3.46944514465438*^9, 3.469445146610034*^9}, {3.469445186759918*^9, 3.46944518895993*^9}, { 3.4694474604453993`*^9, 3.469447474895458*^9}, {3.4694475363771772`*^9, 3.4694475368423653`*^9}, {3.4698593999573517`*^9, 3.469859400484849*^9}, 3.4698713940058928`*^9, 3.469871429603033*^9, 3.470032059171373*^9, 3.4700320983772*^9, {3.4700321351590767`*^9, 3.47003214711691*^9}, 3.470032191843546*^9, {3.470032306518319*^9, 3.470032362441819*^9}, { 3.470032434430271*^9, 3.470032443586718*^9}, {3.470032510901699*^9, 3.4700325271284122`*^9}, {3.4700459308897667`*^9, 3.470046003074006*^9}, 3.470046046240416*^9, {3.473058325497232*^9, 3.473058360727551*^9}, { 3.473058652115109*^9, 3.4730586710052032`*^9}, {3.4730587103522673`*^9, 3.473058718290242*^9}, {3.473073529029957*^9, 3.473073559552517*^9}, { 3.473073821198543*^9, 3.473073822315439*^9}, {3.473073911724243*^9, 3.4730739341114607`*^9}, 3.473074014078669*^9, {3.473074120309655*^9, 3.4730741245609694`*^9}, {3.473074390482143*^9, 3.47307442965783*^9}, { 3.473074518982772*^9, 3.473074521293013*^9}, {3.4730745865080023`*^9, 3.473074616538644*^9}, 3.474866586571685*^9, {3.474866646680409*^9, 3.4748666474862328`*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`ar1$$ = 0.5, $CellContext`ar2$$ = 0.5, $CellContext`logCdl$$ = -5, $CellContext`logkd$$ = 0, $CellContext`logkr1$$ = 0, $CellContext`logkr2$$ = -1, $CellContext`logwc$$ = -5, \ $CellContext`Vc$$ = 0.07, $CellContext`wc1$$ = False, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[ Style[ " \!\(\*SuperscriptBox[\(A\), \ \(+\)]\) + s + \!\(\*SuperscriptBox[\(e\), \(-\)]\) \!\(\*OverscriptBox[\(\ \[RightArrow]\), SubscriptBox[\(K\), \(r1\)]]\) A,s", Bold, Medium]], Manipulate`Dump`ThisIsNotAControl}, { Hold[ Style[ " \!\(\*SuperscriptBox[\(A\), \(+\)]\) \ + A,s + \!\(\*SuperscriptBox[\(e\), \(-\)]\) \!\(\*OverscriptBox[\(\ \[RightArrow]\), SubscriptBox[\(K\), \(r2\)]]\) \!\(\*SubscriptBox[\(A\), \(2\ \)]\),s", Bold, Medium]], Manipulate`Dump`ThisIsNotAControl}, { Hold[ Style[ " \!\(\*SubscriptBox[\(A\), \(2\)]\ \),s \!\(\*OverscriptBox[\(\[RightArrow]\), SubscriptBox[\(k\), \(d\)]]\) \ \!\(\*SubscriptBox[\(A\), \(2\)]\) + s", Bold, Medium]], Manipulate`Dump`ThisIsNotAControl}, {{ Hold[$CellContext`logkr1$$], 0, "log(\!\(\*SubscriptBox[\(k\), \(r1\)]\)\!\(\*SuperscriptBox[\(A\), \ \(+*\)]\)/\!\(\*SuperscriptBox[\(s\), \(-1\)]\))"}, -1, 1}, {{ Hold[$CellContext`ar1$$], 0.5, "\!\(\*SubscriptBox[\(\[Alpha]\), \(r1\)]\)"}, 0.2, 0.8, 0.1}, {{ Hold[$CellContext`logkr2$$], -1, "log(\!\(\*SubscriptBox[\(k\), \(r2\)]\)\!\(\*SuperscriptBox[\(A\), \ \(+*\)]\)/\!\(\*SuperscriptBox[\(s\), \(-1\)]\))"}, -1, 1}, {{ Hold[$CellContext`ar2$$], 0.5, "\!\(\*SubscriptBox[\(\[Alpha]\), \(r2\)]\)"}, 0.2, 0.8, 0.1}, {{ Hold[$CellContext`logkd$$], 0, "log(\!\(\*SubscriptBox[\(k\), \(d\)]\)/(\!\(\*SuperscriptBox[\(mol\), \ \(-1\)]\) \!\(\*SuperscriptBox[\(cm\), \(2\)]\) \!\(\*SuperscriptBox[\(s\), \ \(-1\)]\))"}, -1, 1}, {{ Hold[$CellContext`logCdl$$], -5, "log(\!\(\*SubscriptBox[\(C\), \(dl\)]\)/(F \ \!\(\*SuperscriptBox[\(cm\), \(-2\)]\)))"}, -6, -3}, {{ Hold[$CellContext`Vc$$], 0.07, "E/V"}, -0.5, 0.3}, {{ Hold[$CellContext`logwc$$], -5, "log(\[Omega]/(rd \!\(\*SuperscriptBox[\(s\), \(-1\)]\)))"}, -5, 4}, {{ Hold[$CellContext`wc1$$], False, "\!\(\*SubscriptBox[\(\[Omega]\), \(c1\)]\)"}, {False, True}}}, Typeset`size$$ = {500., {225., 229.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`logkr1$8452$$ = 0, $CellContext`ar1$8453$$ = 0, $CellContext`logkr2$8454$$ = 0, $CellContext`ar2$8455$$ = 0, $CellContext`logkd$8456$$ = 0, $CellContext`logCdl$8457$$ = 0, $CellContext`Vc$8458$$ = 0, $CellContext`logwc$8459$$ = 0, $CellContext`wc1$8460$$ = False}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`ar1$$ = 0.5, $CellContext`ar2$$ = 0.5, $CellContext`logCdl$$ = -5, $CellContext`logkd$$ = 0, $CellContext`logkr1$$ = 0, $CellContext`logkr2$$ = -1, $CellContext`logwc$$ = -5, \ $CellContext`Vc$$ = 0.07, $CellContext`wc1$$ = False}, "ControllerVariables" :> { Hold[$CellContext`logkr1$$, $CellContext`logkr1$8452$$, 0], Hold[$CellContext`ar1$$, $CellContext`ar1$8453$$, 0], Hold[$CellContext`logkr2$$, $CellContext`logkr2$8454$$, 0], Hold[$CellContext`ar2$$, $CellContext`ar2$8455$$, 0], Hold[$CellContext`logkd$$, $CellContext`logkd$8456$$, 0], Hold[$CellContext`logCdl$$, $CellContext`logCdl$8457$$, 0], Hold[$CellContext`Vc$$, $CellContext`Vc$8458$$, 0], Hold[$CellContext`logwc$$, $CellContext`logwc$8459$$, 0], Hold[$CellContext`wc1$$, $CellContext`wc1$8460$$, False]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> ($CellContext`Cdl = 10^$CellContext`logCdl$$; $CellContext`kr1 = 10^$CellContext`logkr1$$; $CellContext`kr2 = 10^$CellContext`logkr2$$; $CellContext`kd = 10^$CellContext`logkd$$; $CellContext`Kr1V = \ $CellContext`Kr1[$CellContext`Vc$$]; $CellContext`Kr2V = \ $CellContext`Kr2[$CellContext`Vc$$]; $CellContext`id = (( 2 $CellContext`F) $CellContext`\[CapitalGamma]) $CellContext`kd; \ $CellContext`Rct = ($CellContext`kd $CellContext`Kr1V + $CellContext`kd \ $CellContext`Kr2V + $CellContext`Kr1V \ $CellContext`Kr2V)/(((((($CellContext`ar1$$ $CellContext`f) $CellContext`F) \ $CellContext`kd) $CellContext`Kr1V) $CellContext`Kr2V) $CellContext`\ \[CapitalGamma] + ((((($CellContext`ar2$$ $CellContext`f) $CellContext`F) \ $CellContext`kd) $CellContext`Kr1V) $CellContext`Kr2V) $CellContext`\ \[CapitalGamma]); $CellContext`Rp = ($CellContext`Rct ($CellContext`ar1$$ + \ $CellContext`ar2$$)) (($CellContext`kd $CellContext`Kr1V + ($CellContext`kd + \ $CellContext`Kr1V) $CellContext`Kr2V)/(( 2 $CellContext`kd) ($CellContext`ar2$$ $CellContext`Kr1V + \ $CellContext`ar1$$ $CellContext`Kr2V))); $CellContext`wn = 2^Rational[ 1, 2] (($CellContext`kd ($CellContext`ar2$$ $CellContext`Kr1V + \ $CellContext`ar1$$ $CellContext`Kr2V))^ Rational[1, 2]/($CellContext`ar1$$ + $CellContext`ar2$$)^ Rational[ 1, 2]); $CellContext`\[Zeta] = ($CellContext`ar2$$ \ ($CellContext`kd + $CellContext`Kr1V) + $CellContext`ar1$$ ($CellContext`kd + 2 $CellContext`Kr2V))/(((2 2^Rational[1, 2]) ($CellContext`ar1$$ + $CellContext`ar2$$)^ Rational[ 1, 2]) ($CellContext`kd ($CellContext`ar2$$ $CellContext`Kr1V + \ $CellContext`ar1$$ $CellContext`Kr2V))^Rational[1, 2]); $CellContext`lw = { 1/($CellContext`Rct $CellContext`Cdl), $CellContext`wn}; \ $CellContext`logwmin = -5; $CellContext`logwmax = 4; $CellContext`RpVcpROhm = $CellContext`Rp; $CellContext`ZX1Et = \ (($CellContext`Kr1V (($CellContext`ar1$$ - $CellContext`ar2$$) \ $CellContext`kd + $CellContext`ar1$$ ($CellContext`Kr2V + $CellContext`p))) \ ($CellContext`Rct/($CellContext`p ($CellContext`ar2$$ $CellContext`Kr1V + ( 2 $CellContext`ar1$$) $CellContext`Kr2V + ($CellContext`ar1$$ + \ $CellContext`ar2$$) $CellContext`p) + $CellContext`kd ( 2 ($CellContext`ar2$$ $CellContext`Kr1V + $CellContext`ar1$$ \ $CellContext`Kr2V) + ($CellContext`ar1$$ + $CellContext`ar2$$) \ $CellContext`p))))/$CellContext`RpVcpROhm; $CellContext`ZX2Et = \ (($CellContext`Kr2V ($CellContext`ar2$$ $CellContext`Kr1V - \ ($CellContext`ar1$$ - $CellContext`ar2$$) ($CellContext`kd + \ $CellContext`p))) ($CellContext`Rct/($CellContext`p ($CellContext`ar2$$ \ $CellContext`Kr1V + ( 2 $CellContext`ar1$$) $CellContext`Kr2V + ($CellContext`ar1$$ + \ $CellContext`ar2$$) $CellContext`p) + $CellContext`kd ( 2 ($CellContext`ar2$$ $CellContext`Kr1V + $CellContext`ar1$$ \ $CellContext`Kr2V) + ($CellContext`ar1$$ + $CellContext`ar2$$) \ $CellContext`p))))/$CellContext`RpVcpROhm; $CellContext`ZqEt = \ $CellContext`ZX1Et + $CellContext`ZX2Et; $CellContext`Zf = \ (($CellContext`ar1$$ + $CellContext`ar2$$) (($CellContext`kd + \ $CellContext`p) ($CellContext`Kr1V + $CellContext`p) + $CellContext`Kr2V \ ($CellContext`kd + $CellContext`Kr1V + $CellContext`p))) \ ($CellContext`Rct/($CellContext`p ($CellContext`ar2$$ $CellContext`Kr1V + ( 2 $CellContext`ar1$$) $CellContext`Kr2V + ($CellContext`ar1$$ + \ $CellContext`ar2$$) $CellContext`p) + $CellContext`kd ( 2 ($CellContext`ar2$$ $CellContext`Kr1V + $CellContext`ar1$$ \ $CellContext`Kr2V) + ($CellContext`ar1$$ + $CellContext`ar2$$) \ $CellContext`p))); $CellContext`ZfEt = $CellContext`Zf/$CellContext`RpVcpROhm; \ $CellContext`ZEt = ($CellContext`Zf/( 1 + ($CellContext`p $CellContext`Cdl) \ $CellContext`Zf))/$CellContext`RpVcpROhm; $CellContext`g = GraphicsGrid[{{ Plot[$CellContext`if[$CellContext`VSta]/$CellContext`id, \ {$CellContext`VSta, $CellContext`Vmin, $CellContext`Vmax}, PlotRange -> {{$CellContext`Vmin, $CellContext`Vmax}, All}, PlotStyle -> { AbsoluteThickness[2]}, Frame -> True, Epilog -> { AbsolutePointSize[5], Point[{$CellContext`Vc$$, \ $CellContext`if[$CellContext`Vc$$]/$CellContext`id}]}, FrameLabel -> { "\!\(\*\nStyleBox[\"E\",\nFontSlant->\"Italic\"]\)/V", "\!\(\*SubscriptBox[\"i\", \n StyleBox[\"\\\"f\\\"\",\n\ FontWeight->\"Plain\"]]\)/|\!\(\*SubscriptBox[\"i\", \ StyleBox[\"\\\"d\\\"\",\nFontWeight->\"Plain\"]]\)|"}, AspectRatio -> 1/GoldenRatio, Axes -> None, BaseStyle -> $CellContext`monStyle, PlotRange -> {{$CellContext`Vmin, $CellContext`Vmax}, {-1.05, 0}}, FrameTicks -> {{$CellContext`Vmin, 0, $CellContext`Vmax}, {-1, 0}, None, None}, ImageSize -> 250], Plot[{ $CellContext`\[Theta]s[$CellContext`VSta], $CellContext`\[Theta]A[$CellContext`VSta], $CellContext`\[Theta]A2[$CellContext`VSta]}, \ {$CellContext`VSta, $CellContext`Vmin, $CellContext`Vmax}, Frame -> True, FrameLabel -> { "\!\(\*\nStyleBox[\"E\",\nFontSlant->\"Italic\"]\)/V", "\[Theta]"}, Axes -> None, FrameTicks -> {{-0.4, 0, 0.4}, {0, 0.5, 1}, None, None}, PlotStyle -> {{ Part[$CellContext`lHue, 3], AbsoluteThickness[2]}, { Part[$CellContext`lHue, 4], AbsoluteThickness[2]}, { Part[$CellContext`lHue, 2], AbsoluteThickness[2]}}, Epilog -> { AbsolutePointSize[5], Point[{$CellContext`Vc$$, $CellContext`\[Theta]s[$CellContext`Vc$$]}], Point[{$CellContext`Vc$$, $CellContext`\[Theta]A[$CellContext`Vc$$]}], Point[{$CellContext`Vc$$, $CellContext`\[Theta]A2[$CellContext`Vc$$]}], Part[$CellContext`lHue, 3], Text["\!\(\*SubscriptBox[\(\[Theta]\), \(\"s\"\)]\)", Scaled[{0.9, 0.9}], {-1, 0}], Part[$CellContext`lHue, 4], Text["\!\(\*SubscriptBox[\(\[Theta]\), \(\"A\"\)]\)", Scaled[{0.9, 0.75}], {-1, 0}], Part[$CellContext`lHue, 2], Text["\!\(\*SubscriptBox[\(\[Theta]\), \(\"A2\"\)]\)", Scaled[{0.9, 0.6}], {-1, 0}]}, PlotRange -> {{$CellContext`Vmin, $CellContext`Vmax}, All}, BaseStyle -> $CellContext`monStyle, AspectRatio -> 1/GoldenRatio, ImageSize -> 250]}, { ParametricPlot[{ ReplaceAll[{ Re[$CellContext`ZX1Et], - Im[$CellContext`ZX1Et]}, $CellContext`p -> I 10^$CellContext`logw], ReplaceAll[{ Re[$CellContext`ZX2Et], - Im[$CellContext`ZX2Et]}, $CellContext`p -> I 10^$CellContext`logw], ReplaceAll[{ Re[$CellContext`ZqEt], - Im[$CellContext`ZqEt]}, $CellContext`p -> I 10^$CellContext`logw]}, {$CellContext`logw, \ $CellContext`logwmin, $CellContext`logwmax}, AspectRatio -> Automatic, Frame -> True, PlotStyle -> {{ Part[$CellContext`lHue, 3], AbsoluteThickness[2]}, { Part[$CellContext`lHue, 4], AbsoluteThickness[2]}, { Part[$CellContext`lHue, 5], AbsoluteThickness[2]}}, FrameTicks -> {{-1, 0, 1}, {0, 1}, None, None}, PlotRange -> All, ImageSize -> {250, 250}, Epilog -> { AbsolutePointSize[6], { Point[ ReplaceAll[{ Re[$CellContext`ZX1Et], - Im[$CellContext`ZX1Et]}, $CellContext`p -> I 10^$CellContext`logwc$$]], Point[ ReplaceAll[{ Re[$CellContext`ZX2Et], - Im[$CellContext`ZX2Et]}, $CellContext`p -> I 10^$CellContext`logwc$$]], Point[ ReplaceAll[{ Re[$CellContext`ZqEt], - Im[$CellContext`ZqEt]}, $CellContext`p -> I 10^$CellContext`logwc$$]]}, Part[$CellContext`lHue, 3], Text["\!\(\*SubscriptBox[\(Z\), \(\"s\"\)]\)", Scaled[{0.1, 0.9}]], Part[$CellContext`lHue, 4], Text["\!\(\*SubscriptBox[\(Z\), \(\"A\"\)]\)", Scaled[{0.2, 0.9}]], Part[$CellContext`lHue, 5], Text["\!\(\*SubscriptBox[\(Z\), \(\[Theta]\)]\)", Scaled[{0.3, 0.9}]]}, FrameLabel -> { "Re Z/\!\(\*SubscriptBox[\(R\), \(\"p\"\)]\)", "- Im Z/\!\(\*SubscriptBox[\(R\), \(\"p\"\)]\)"}, BaseStyle -> $CellContext`monStyle], ParametricPlot[{ ReplaceAll[{ Re[$CellContext`ZEt], -Im[$CellContext`ZEt]}, $CellContext`p -> I 10^$CellContext`logw], ReplaceAll[{ Re[$CellContext`ZfEt], - Im[$CellContext`ZfEt]}, $CellContext`p -> I 10^$CellContext`logw]}, {$CellContext`logw, \ $CellContext`logwmin, $CellContext`logwmax}, AspectRatio -> Automatic, Frame -> True, PlotStyle -> {{Purple, AbsoluteThickness[1]}, {Blue, AbsoluteThickness[2]}}, PlotRange -> All, FrameTicks -> {{-1, 0, 1}, {0, 1}, None, None}, ImageSize -> {250, 250}, Epilog -> { AbsolutePointSize[6], If[$CellContext`wc1$$, {Red, Point[ ReplaceAll[{ Re[$CellContext`ZEt], - Im[$CellContext`ZEt]}, $CellContext`p -> I Part[$CellContext`lw, 1]]]}, {}], Point[ ReplaceAll[{ Re[$CellContext`ZEt], - Im[$CellContext`ZEt]}, $CellContext`p -> I 10^$CellContext`logwc$$]], Point[ ReplaceAll[{ Re[$CellContext`ZfEt], - Im[$CellContext`ZfEt]}, $CellContext`p -> I 10^$CellContext`logwc$$]], Purple, Text["Z", Scaled[{0.1, 0.85}]], Blue, Text["\!\(\*SubscriptBox[\(Z\), \(\"f\"\)]\)", Scaled[{0.2, 0.85}]], AbsolutePointSize[6]}, FrameLabel -> { "Re Z/\!\(\*SubscriptBox[\(R\), \(\"p\"\)]\)", "- Im Z/\!\(\*SubscriptBox[\(R\), \(\"p\"\)]\)"}, BaseStyle -> $CellContext`monStyle]}}, ImageSize -> 500]), "Specifications" :> { Style[ " \!\(\*SuperscriptBox[\(A\), \(+\)]\ \) + s + \!\(\*SuperscriptBox[\(e\), \(-\)]\) \!\(\*OverscriptBox[\(\ \[RightArrow]\), SubscriptBox[\(K\), \(r1\)]]\) A,s", Bold, Medium], Style[ " \!\(\*SuperscriptBox[\(A\), \(+\)]\) \ + A,s + \!\(\*SuperscriptBox[\(e\), \(-\)]\) \!\(\*OverscriptBox[\(\ \[RightArrow]\), SubscriptBox[\(K\), \(r2\)]]\) \!\(\*SubscriptBox[\(A\), \(2\ \)]\),s", Bold, Medium], Style[ " \!\(\*SubscriptBox[\(A\), \ \(2\)]\),s \!\(\*OverscriptBox[\(\[RightArrow]\), SubscriptBox[\(k\), \(d\)]]\ \) \!\(\*SubscriptBox[\(A\), \(2\)]\) + s", Bold, Medium], Delimiter, {{$CellContext`logkr1$$, 0, "log(\!\(\*SubscriptBox[\(k\), \(r1\)]\)\!\(\*SuperscriptBox[\(A\), \ \(+*\)]\)/\!\(\*SuperscriptBox[\(s\), \(-1\)]\))"}, -1, 1, LabelStyle -> Large}, {{$CellContext`ar1$$, 0.5, "\!\(\*SubscriptBox[\(\[Alpha]\), \(r1\)]\)"}, 0.2, 0.8, 0.1, Appearance -> "Labeled"}, {{$CellContext`logkr2$$, -1, "log(\!\(\*SubscriptBox[\(k\), \(r2\)]\)\!\(\*SuperscriptBox[\(A\), \ \(+*\)]\)/\!\(\*SuperscriptBox[\(s\), \(-1\)]\))"}, -1, 1, Appearance -> "Labeled"}, {{$CellContext`ar2$$, 0.5, "\!\(\*SubscriptBox[\(\[Alpha]\), \(r2\)]\)"}, 0.2, 0.8, 0.1, Appearance -> "Labeled"}, {{$CellContext`logkd$$, 0, "log(\!\(\*SubscriptBox[\(k\), \(d\)]\)/(\!\(\*SuperscriptBox[\(mol\ \), \(-1\)]\) \!\(\*SuperscriptBox[\(cm\), \(2\)]\) \ \!\(\*SuperscriptBox[\(s\), \(-1\)]\))"}, -1, 1, Appearance -> "Labeled"}, {{$CellContext`logCdl$$, -5, "log(\!\(\*SubscriptBox[\(C\), \(dl\)]\)/(F \ \!\(\*SuperscriptBox[\(cm\), \(-2\)]\)))"}, -6, -3, Appearance -> "Labeled"}, Delimiter, {{$CellContext`Vc$$, 0.07, "E/V"}, -0.5, 0.3, Appearance -> "Labeled"}, {{$CellContext`logwc$$, -5, "log(\[Omega]/(rd \!\(\*SuperscriptBox[\(s\), \(-1\)]\)))"}, -5, 4, Appearance -> "Labeled"}, {{$CellContext`wc1$$, False, "\!\(\*SubscriptBox[\(\[Omega]\), \(c1\)]\)"}, {False, True}}}, "Options" :> {FrameLabel -> { Style[ "ER@SE/LEPMI, J.-P. Diard, B. Le Gorrec, C. Montella, 2010. Hosted \ by Bio-Logic@www.bio-logic.info", Medium]}}, "DefaultOptions" :> {}], ImageSizeCache->{913., {261.84375, 267.15625}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({{$CellContext`Cdl = 1/100000, $CellContext`kr1 = 3.019951720402016, $CellContext`kr2 = 5.623413251903491, Attributes[$CellContext`kd] = {Constant}, $CellContext`kd = 1, $CellContext`Kr1V = 0.5894536692676096, $CellContext`Kr1[ Pattern[$CellContext`V$, Blank[]]] := $CellContext`kr1 Exp[((-FE`ar1$$11) $CellContext`f) $CellContext`V$], Attributes[$CellContext`V$] = {Temporary}, FE`ar1$$11 = 0.6000000000000001, Attributes[$CellContext`f] = {Constant}, $CellContext`f = 38.9, $CellContext`Kr2V = 3.2619945053180026`, $CellContext`Kr2[ Pattern[$CellContext`V$, Blank[]]] := $CellContext`kr2 Exp[((-FE`ar2$$11) $CellContext`f) $CellContext`V$], FE`ar2$$11 = 0.2, $CellContext`id = 0.00019297000000000002`, Attributes[$CellContext`F] = {Constant}, $CellContext`F = 96485., Attributes[$CellContext`\[CapitalGamma]] = { Constant}, $CellContext`\[CapitalGamma] = 1.*^-9, $CellContext`Rct = 1000.1445016529348`, $CellContext`Rp = 1113.2209832529552`, $CellContext`wn = 2.2776563815928887`, $CellContext`\[Zeta] = 1.3260022943121823`, $CellContext`lw = {99.9855519224776, 2.2776563815928887`}, $CellContext`logwmin = -5, \ $CellContext`logwmax = 4, $CellContext`RpVcpROhm = 1113.2209832529552`, $CellContext`ZX1Et = ( 0.5295793514190231 (0.4000000000000001 + 0.6000000000000001 (3.2619945053180026` + $CellContext`p)))/( 4.1501748740886475` + 0.8 $CellContext`p + (4.0322841402351255` + 0.8 $CellContext`p) $CellContext`p), $CellContext`p[1, 1] = 0, $CellContext`p[1, 2] = 0, $CellContext`p[1, 3] = 1, $CellContext`p[2, 1] = 1, $CellContext`p[2, 2] = 0, $CellContext`p[2, 3] = 0, $CellContext`p[3, 1] = 0, $CellContext`p[3, 2] = 1, $CellContext`p[3, 3] = 0, $CellContext`ZX2Et = ( 2.9306543067330604` (0.11789073385352192` - 0.4000000000000001 (1 + $CellContext`p)))/(4.1501748740886475` + 0.8 $CellContext`p + (4.0322841402351255` + 0.8 $CellContext`p) $CellContext`p), $CellContext`ZqEt = ( 2.9306543067330604` (0.11789073385352192` - 0.4000000000000001 (1 + $CellContext`p)))/(4.1501748740886475` + 0.8 $CellContext`p + (4.0322841402351255` + 0.8 $CellContext`p) $CellContext`p) + ( 0.5295793514190231 (0.4000000000000001 + 0.6000000000000001 (3.2619945053180026` + $CellContext`p)))/( 4.1501748740886475` + 0.8 $CellContext`p + (4.0322841402351255` + 0.8 $CellContext`p) $CellContext`p), $CellContext`Zf = ( 800.1156013223479 ((0.5894536692676096 + $CellContext`p) ( 1 + $CellContext`p) + 3.2619945053180026` (1.5894536692676096` + $CellContext`p)))/( 4.1501748740886475` + 0.8 $CellContext`p + (4.0322841402351255` + 0.8 $CellContext`p) $CellContext`p), $CellContext`ZfEt = ( 0.7187392380839978 ((0.5894536692676096 + $CellContext`p) ( 1 + $CellContext`p) + 3.2619945053180026` (1.5894536692676096` + $CellContext`p)))/( 4.1501748740886475` + 0.8 $CellContext`p + (4.0322841402351255` + 0.8 $CellContext`p) $CellContext`p), $CellContext`ZEt = ( 0.7187392380839978 ((0.5894536692676096 + $CellContext`p) ( 1 + $CellContext`p) + 3.2619945053180026` (1.5894536692676096` + $CellContext`p)))/(( 4.1501748740886475` + 0.8 $CellContext`p + (4.0322841402351255` + 0.8 $CellContext`p) $CellContext`p) ( 1 + ((0.008001156013223478 $CellContext`p) (( 0.5894536692676096 + $CellContext`p) (1 + $CellContext`p) + 3.2619945053180026` (1.5894536692676096` + $CellContext`p)))/( 4.1501748740886475` + 0.8 $CellContext`p + (4.0322841402351255` + 0.8 $CellContext`p) $CellContext`p))), $CellContext`g = Graphics[{{}, {{ Inset[ Graphics[{{{}, {}, { Hue[0.67, 0.6, 0.6], AbsoluteThickness[2], Line[CompressedData[" 1:eJwV1nc8FP4fB3AKCVGkMrNpKWQU+aSlqIw0lIsvhVC2lF1WNtnJOKvsPY68 He6ceeesFEkp8+4kZPv5/fV+PB+P9+vx+u/9eBvam4s/ZmJi2sHExMz9/wmj W1t0d8VQYPy4vrUhcxZG11Z79VYbt63pS7RSgdF/izWyTQvbPrnqxXsMRhkz foO3TLbN+zmLnAOjo4P8Ki7HgTH2GXkWbOehSH2hsnPb/1VoPnCCUR+TN45n uIHx3V5c4ZQ0fNuslbJBMcD45qxxAmcJIxPdRgMXR4AxVFnQ9B8Whn+aXgxL KgVGX5HI0zsX4es4F8t7iX/AIAsFfvQPgy/k/Y2ymb7AICElLIcmDHUmnVl3 jQVG48oTm7ge+FzxokhXcxoYNTveGz5dh8EM14UF9TJgFC4ejAjFwEA6bWUi hAUYmdebeMaEoT8Ev2JETgJGvORK1gMh6AvaV81lWQ2MYDGs85QC9AZ7aYsq aAPDPXC/Q9MIUF0u9Xz8KwiMx8dtX3jNQ49TsKAvmzsw9F+ID3f3A+WBLIay 7xAwVLCv9Gq+QXd0y++FVCNgCJzQsB/HQWeMYsTIpzCgrxjsZpb8Ce1W947h Oq4BnTJ/74XrbSD953r5uKcg0LNiwx5dTgbSvZIkS95EoGc2f6nl9QSS3gwt 7SM/0LHzMe3nPICkaR7PO7AX6Bk3z81Yk4AkpPd75RQr0N9vOgTj9KG1/2gw 4ecc0BO0SEzkd9B6dbTTVJcA9Df6ElmPvIF4SudWjJAD0G2t1RNsjYAoWxT4 8PUboNs44l9zPQXiYd7aozNYoD95Gcn79AcQ93wVba7rA7rVm83r5ZlAmLGd WjRRBbpFuoDhXAwQcsJ976VsAv3Bh3QWogwQhCmFh0XDga4rXYnX/Qotu++y FYjnAV02U0mkEAMtzHoHbYb1gC4TluLtIAfNK9pyR+IXgC7tqnbCtAyap1Sv 5XIhoEte2ml97D9objsYlrG03S862NtcowfNwZ95Ezq2+/gHC8bK56GZ3Vj0 tZsB0HcqJv2K+ARNux6o3G9fBtpX6ZNO816A38yRod2+C7ShGjVXzQrAL/45 6DNaBbTPOnt+mkcCfjxwOWvBFWj9Nodm9/QBHl+GY4jMA438LhTH+AN4Tw70 2oEGtOYm6NlhBo1ztVcLDvwAWv4hukYQC0CFfOUqIR5orm+jZn6cAsicvcXi 8xRozrNdDmUBAG8/znGfuQQ0p0sFCsonAJylj4oX/AXaszmdWc79AIpCqVdj 9YFmrfI7L2IIGkrYA+MtOIB23xfTrJkLn/J/3FVk8gLauVWl4ieLUJcZt/xE /RHQmJQ23LmKoe5ttmFiohPMbp42vWf1AupeVxS0LvrB7LoSL3MdCeosev+T KU6F2eVjFmLPm6FOam/buOQgzM7tCjSKKAJcVug7Uy4dmB21M14lf4PabD9N o5FTMFs/rDQTpg/VuXb+573XYNaR8anR6AlUx4unHvTwhln789mM+xpQ7T9Q TXdnglm7yN3XXYWg2vz8TIojG8xaSanq5OyGahF+w2WLvTBrcnJihckTqmIa xEu0pWD2crth0OsjUOnNA2I812H2wHJ8oa4hlBuVrWylpcBMSepQ3LAXlF+K JNdpqcJMobPursA9UH7aLtvtBxVm8i7Re1c0oHy/jD5dhh1mMkebcyQmoaw3 KXe4wBVm4v9iuAepUGboe7u29ibMeEZJ3E+JgFL9G6XOvcwwczkCw6N1EYoS KD0Urg6Y7ubenUC2gCKX/vX4iGmYbiOe8Tl3CIoMvspi9rHDNOElxlFJDIo4 f3lO81+B6foBlwNPMVDosyrHItII0/kYbyprPhRYS3qryVfAdFCWCDVWBPLU 3I6m66fCtMa6UmhoDmQPCb12iHWCqWSxW0zMRZBd1SL3ymQLpmL7+mla/ZAd a9cVKx0GU5H+ee2HxyBbr+FgdVUOTPkPoJ37dSGLaJa/+XkIpuzPN9EF+iGz PLsvXOQ8TF08RRYpPQIZEaekP+Zww+SEjY2I5G1IDnwTSbC/DZNin/ANZ79C 8pUXbR6xVJgUzCSntClCMpvNTgXcTZjcH6B74XkIJAXquKWyXoFJ9rOB/Y2e kBjIiXF7pwYTjKezGwGcEB8Qfky2VRAm6v89L2EOgRj/KGKI6DeYMIoYE0/0 gwDWk6vvUzrht2sJ1iTjHfJ4ZlUl/uIVjBv+Uf2zkYASeHn+4pwC4Qd3Qf2w kyLK9HhkI5VLgFG9zah0iw5UIDjGlmKiBENLnVLCN3aiMj702azpCPSLY0/u 4HmIquzTLoa+kN++uzVaizCJqnymWG95zwNFV/hV4Gd+VBWl2CrkXwmUsyFp OUz7UVUJUSc/SgMoAv4Rt7jNUNUfmkFHrg6Qi7+LJJ+oR9Uu6mac/Y+hu/Du u3fuO1CN+6BnmEIKdFa3eNwwKEa4VzyVYdOc0MaV4//8kAPCxezCnbyeCKQ/ 50u8K88hXMZWQ0+xFJD6GQt3VSoQDs8gHXDRAFJaeGdJnS+qYyZ/Sdt8BiQl 4j+ZdWtU5xe5Vc5LgVazU+aozxvV++29NqQeBwTS9/Iz2oWoPpr9pkeqBBBK Dl8UXZRE9RlMt0SZioCQ4PR7fjEY1TfOmZgTiECwNDadvDiJPjFRns3qLQOB VYLwXXINffKNerv16D60XMmySlUxRw2+e79Jhx+GpqFL9kWvI1FDtIWkmL4a NOE1Yx2/HEAN2EprIT59aPqo/zkpPAs1EIzn9yb5QtOLT+/9vC4j4MhkXcv+ Dk1C1TLuB54iiFM+0dOABfwjCakSL23UePt4Q8MyLzSyRVl+uNOHGjH9YxrG qQA//l009BhFjZY+O2vrjgLUrGGWYopR4/OeqxXeFwAeh4kadLqjxmRXah6L EzQ0dnEFirOgxtGG33F7e+GTTxUH1TMC4W0MuG2PxEKdqOXqNR1ehHeyNFxS iwXc+kl97xRbhH/pkeCnve0vwg50oxsIH5IjlvD4LeDiHxVPMGMQPm9NsTkj BnB787xMBjMQfib7rrBAFNRyLnZq2V5HTXYraV27w6Ba+Ov5vkIP1OTKPX7v UBhUbXEVjE9MoiYvKbmfstseM60/yyeNmsJvlq5cDoWqHBsTzaV81FSY2SLt FwJVitwtQTrhqIl+Y9JrJRgq9bwUvS3kUbM9VkF+KgDKsaqnfLuLUbP7o7jf cu1QHnjhQxo3G2r2k1l9b70Xym0c6+DBZdQck9/C+TsFypXOHsO4RaLmyso7 kz/LoIzo8LL63gBqXiN5Yke+Q+nf26qKN/lQSxCddICqDiWWfLs3k7+hlqjS 4937fKHkpr7Dupgnaklyjg7QJ0KJSqHm07sNqCVv+f5fsiGU7GoJVk9nRi3d zDRKpzUU3+l0k/5Rggj7+flCiPFQOFfWKriXDRHS1R9u4v5Avr5qvtrMMiJ8 6PslKZcC+XKkgrG2DUQofWarHX8F8pkjHHd6ViNCU8bzKMdkyCuvNnJhtkOE X7uiJOQuQJ6guwCNVImIR3rxl+Ni4MOfV9jpVT5ELLeTDHM4DTktxx6PCfch Yj3rx5KRb5CDHV8CxT+I2JJ2sl83GHL8OuXfMysjYj9VQ1RmGHLOS+AUV/cj 4rKaUfFIAGQ3TBsPm+Wi1nMsAb06A5DVUrnHvWwXaiWmTApKuwOW0ZGUYw2o tRsbdf18PGD7y7Htv1JR68AHNe8HFYCt+9SadlkAtf4uD/4RzQBssCrhVfcD RGJrP5K3aQlYiQYtXCYHIl35Z6s+eBsyMH9l3G/IIlKrAR3zRhHSBn+BgJYV IpHvxkdm6UNafu4g32MnRBrEaOLhGaT5ZNWG/B1HpAnrSOnFj5AmdwO/cmEP atvlc5JuLgapnrePlVQyozbtAkcfdW54L78ed8CKhtpIbAvpszOQXN+3/DiB gNootfVbajchOfZKsZRsF2obsgvAvC6DZNu/WXX7jqC2aeoBQcGXkCy0yVVN 4UDte96rvr3KDknendL6bOmo/ZbSy4BMGUjU233FNNEXtX8zY7IxNof4g/+S 01vrUPsEL4mURYS4JY22Zq5M1M4gRMvMHYW4vvLvmBoh1MF8TPxn4B+Ii1Ep Nn5ogDokly6aVPhCHE/QHeYLTqjjSVigHk8qxPIJjLJ2L6GOhVouJcIQxGic E04cQahjfXApraEEYiQEGs2LulAny9IYZ3UwxLAL/jzdHYU6+U9X/vyoAtF9 b8b7XV1Rp3KJ6duwWIi250/JGRpCnW65ZX9v6UNUHq4u2EEGdS7HG5d9J0KE 61pLN0c96mKqvCQ6lAoROuIzx21jURd7n3wI1RUiRAPITx+Hoy4B3p3mLVIQ TmINuKHMirrOhBfy5vpBuMjXnMKHIajrZQCT0zMNCO1L4WBpfo661p1zFdbK 4Y2dblXryAzqZnlSzilBhzdXrxrYcTCjbi7ThnGdo/BGym09Y/U26hbWHYhP xELwyBN3aqA76taQYl1TjoFgg3fEdqcI1O3R96jF3gGCLqzXnq7PR91ryhJ3 fspDgPbyzenISkTeeUz+FIcNBBypk7kqbozInOJndyvkQADnhyuVvtGILLTH oM5XFPwpTF6kSWFEPvvLT0xkD/jfx0bTA0YQ+WXc6NSdWXj93DO7WpAJkVeW 3nu0fwS/7n0Ps8nyiMJ8fbwxmh/8ysLzforcQhTW1JfNGgPgl6A0SfXXQRRu rRxS7D3wM9vQ2pG0gCiHgzZ7L5qA75Lnh3v7PRHlwv6iyQwL8JVbSeaSbEWU IHkePowjeBkVFU1KMxAl1Cf7wG5F8JJF8ldps4gS2aN+qGIePFf5L1SziSFK oouVKJcLeKZHhdyJD0SUjziQq3MHj7kaQ+twDKJ0attrCvjAy/cub+mpIahn nxnZuj8c3KXXTKI/Aerht3ZzuscO7ju2DIexrahHwEHE48sreP5d2SMuKAH1 iPvYRoy6w/N3qtc+EztRj0Lqroopc3jO90ZZ614R6jH4ep5pQw3c9hw1PvmC E/XE3C5JkhoHF4m4Q+RQD9QTj7mLzTUFF1aM2W65I6gn+dFmwZEv4DypVyHR aox6sC7XQZ4MzkWlsfNdXKinLGbylxoOnM9ZkPD5aqiHShFXuB4FTuZ63qxV q4jKpxPdtv0POJAalUs7XBD1YPtp9vUd4FAY3O7olouowtcGrr4mgUOMl6Kt czSiSl8TbH1rBA4mk48ngtUQVVU7k1BmB/YTfkWddpuI+uBSJX4uBZ4Zel8w PaONqJmaQzi7DbC1MDukHHMXUXMbPFYWWsBWZWJ4Y3UMUQs0Rc94hoAtR/UT Gv8GolaeM68JOwA25cd5wwxNELVVfaYqXx5sdplqjRB9EXVGbaNs6iFY14c9 q5t7hqiMmrR5RymwjjXxtk9wQNQFtQsKy9NgbffU20qqD1E3VANL2d3AWkS/ RH2xC/XyqPAUy0aA1au9OdlBBNTLV1lKLzYCqwfDW4d5b6LeQ8pG8qqCYKU8 IfjEYifqFT+dWHglByyny7ndSx6iXumKs7PddmBJcJG8nLi9f1Rp5PgdRbBM d3T6oy2CeuXLfWxHlsHSIy9ly2AM9Sopiec/bgDLu4e1QkUN/wc/jyLl "]]}}}, { AspectRatio -> GoldenRatio^(-1), Axes -> None, AxesOrigin -> {0, 0}, BaseStyle -> {FontFamily -> "Helvetica", FontSize -> 12}, Epilog -> { AbsolutePointSize[5], Point[{0.07, -0.3329951121325836}]}, Frame -> True, FrameLabel -> { "\!\(\*\nStyleBox[\"E\",\nFontSlant->\"Italic\"]\)/V", "\!\(\*SubscriptBox[\"i\", \n StyleBox[\"\\\"f\\\"\",\n\ FontWeight->\"Plain\"]]\)/|\!\(\*SubscriptBox[\"i\", \ StyleBox[\"\\\"d\\\"\",\nFontWeight->\"Plain\"]]\)|"}, FrameTicks -> {{-0.5, 0, 0.3}, {-1, 0}, None, None}, ImageSize -> 250, PlotRange -> {{-0.5, 0.3}, All}, PlotRangeClipping -> True, PlotRangePadding -> {Automatic, Automatic}}], { 133.33333333333334`, -133.33333333333334`}, ImageScaled[{0.5, 0.5}], {250, 154.5084971874737}], Inset[ Graphics[{{{}, {}, { Hue[0.67, 0.6, 0.6], Hue[0.1421359549995791, 0.6, 0.6], AbsoluteThickness[2], Line[CompressedData[" 1:eJwV1gc0l98bAHCFEqJkFCkJIYkopN5HSFZC2iSr8JM9kqyMSmSLkmwRMpP5 2Ht8v197l1nWVyWjwd//nPecez7nve9z33vPc8/z6NoYHzKjoaHZuvkw/3/E 0Y2NhQcnnhMNaVoqndRYHP3zu/PS70qioZlRyFUvD0dXfn06Ur1ENMytbd0S XYCj1Fnv3sv6RKOUbd81jhs4OtrLccpRjGisJmu4tdrgKGbLLxW2Ek2zMdtN z7fgqKf+Mzs5FqL1nmtoxZg0jrpds1bboki0hop7tr3aXN9F9zJfkzPRWsqX rPs4H0dtVPeTbowQbazlq5ZNm/ENpXKOP/xAtJVO4SNHBhwFxp75Mm2ig09x b96JFRxZLxawhDCCvHM8sMFJCkd+G7gepSYRZBFGezW1LTiyvKVt/m0BQVbW DxJi2YMj8+outhu9BNnNx/mM6hEcGRxsdqncT5BnxwtWHr7CkU/rtn4KKQSl W+yiWspnHHFQKos/94noavnGxnQuHUesv+42+t5EdM3TWc1fZcIRy8C7hxMG iG4WPSfL9ggcMepmTdvyl+jWCR9ppv7EEe27xlnV54jugRgDm2dJOHLsGUOp YjPRs8K0/8feTByebtfrURom+vW3X11z9Mbh8bLoUF5pot/7o01SmgEOj2YM aSwHEv1pb7zku/bjcO8Tk6r000T/Env3UoEzDjco2GexRBMDwblPejee4XBq XohPvy4xSF44/5Msh8NmUa2S1g3EiO8M3V6VZhw28mOdUz1AjOQp1o6nknDY wOFy2iFnYmR0ZKhy+BYOX7k0uL9LgBiVH0tY5c3G4fMMMwxyj4nRlcMREyrp OCzgtn2U7gzxudye7P1bFYfGDZUCY3KJMYPj/5l+K8ehUaPlkMEeYsxlwX3t 6SkcGjRNj+T9S4yFdXkyyzzCoU5L1jeJKsRYE+dxt8RuHKpxHMzOGCDGZZyD 1UOe41BSgAOpbCsxwTMSdGW6HYdMCpPZR/SIKboVD6nrzjhk+OnaPj5XYkqQ IaxbTAqHbpUy8hrHEVPnVXWz7ag4dLnSVnDqKzHlrzc+FBaMQ0otZ05R3Ylp xnRSxvgHHDr8uesGTSrxdb+XkrH6NRycYKZ7w79CzNz97KoSnYiDo5+OPNf8 TcyERH2335qKg4Om6q7Of4mZkuDzytNrOEgpC7nSQkPMsl7gY8nyxcGq+/tZ HBiI2dLRI84Jz3Ewrl3Ks4abmOdnaW+Lq8DBGyHGxiZniEW2Kgt22m4cvHLG TzuIIBbFBN2TX9bjoPbXd0SRArF4Pjd1vskZB1UVFniYlIlFVyXpMS8bHDz1 3bUz/yKxOKar0PQiHgfZdUPP094mvpfdcDOI08KBDvbKI0lexM/Q+Stf76/i QAsjhWW5kfiZXVv9+kEDDjTQjC+r7yJ+ttS/O8tVhgMV89trFxOIpW3qfeFi m86uu2R8tppYcr9VnJWrhwMvnEZi++iJXw59eyRf7sSBiz3/2JgDiBXfPS0c BVw4oNbGsmZIIVZSSxJ5vHNw4HwN3+d8bmKlKcJ9yIMHB85+UP5w4z2xyjpm e8CmFQeOPQnUTG0lVuOowbUvPXFgpyzPk3OsxFoDW/aG7Rr2t8bI/XWKIP6e K6Azt13G/kbZ0racEuKvdVfw1weHsL+m72zc7CjxN/Ys7zYVBewv5Tp3zliU +LvydfsAYyH2p0eq+msh8S8vd0C9KxL7/UOv7ToyQ2yccs98psmJ/QrPHA8P AGw5e3zy1hV+7D8j/OsXhylsuf4xUzKxE/tlGl3qtQNgi6OF/hXD19h/fLub eX0XbMm8HNJ8dxj7ef0eZ+VbwtYDSsytrRXY99s7VCYwAmgZ2wZW37lhX4Fr tgYxA/QMaU7ys++xL+fYW7OxYaAXifNmHT6Afe+/hHj5k4BevUnETigI+5LU 7AvbPwJ9UEn4wRY27AvbJ8N32we2cXKWVapcxj6bT/jLYz9sl/iX4htljn2i K+S35VqwI3RW+uasKvYJva8uMToHO4r/8vWJaWEfv2F+N7007BjTqHkxtBlv X0MU40VuYJR6V6AZoY99DC9vOg5NA2O/6SHRyznYO3VqXO2vFzBLnt5PO+mL vQlOS0vyecDKoRH910YBe984dDMwzAKrYiEP5x0x7I2xK+TpEQBW2ztj9E+H sDf0vpOS7UtgbfWq4m9Ow15v019hKY9gl9Ky/GnVTRtdXpZkVYHd9JNhq0ah 2HtIcuX+2CCwpUDezUtL2Mt7vNc7hx3YKt0o+v0PsXffsaJIdy1gGxzNClf6 h727RVzKuSphz56D7sZWb7B3C98qs2Yq7PHxm3U5GYk9X1hXMz7aArsVv4n+ 3a3YEz+/Nh1AB5y3L3GH90ljT2yk2iRwA6d32VrFKxPsiT4TM7YkAZwpxuPG HeHYE/xcbuS2AXDOX5d9McaLPR7Crt0nPgKX548Skywe7LllvFY9aAF7c2Rs Q9jKsYejdy1OrB14IL7KwDAGe3Z7qr3+MgE8lvVmPd4a2LNTKCYm6g/wREko 3Y/ywB46J7nILcLAM0+5oWCeg90/2Vyfd3vD/vhbo20uZOwmaa65ekjDAbYp Dv9+R+wOqFrT64gBvmi/HX3m/Njtny+rkbUMfLmMyk0Lz7D7cbKLYqAu8DXl v/8ja4DdD/1/SagxAt8fhy7zMHnsttT4zlT9CA7d+eDwoVoEu9W6v1YX3gH+ E8oCr8VfYDfDtz6J18Jw+Kczl/B6G3bTDXIdcfUFgV0Lxx/0bP4PTevVA9e+ gIB4aNktW37sWs3uYmZ/BQKW+lLUU9HY9dWhY/oFMwhM0H8IzCNhV8O/hjiv RRAcnSj3PySLXU92FzHfLYIjfz5Wn2OkYpcPl5lm1hgIH7jfc1WjBrs8efcE /mIG4XPX9gi85cEuF2HbnT53QPhJlbCHUQF23QMRlvgdIML5p2YtIgq7Lli9 3tV/C0RBU+R2ujV2bW/w5NDYALFit+iB+jXsom07diVcFMTGmWmrqh5i5wZl MHJAD44x9zn5/gDsXBmR5TR/B8eMhBrmr33Hzuml71x+OiDOnFiaKfoWOxv5 TfZVJMFxm7vcGd8CsPOp+4UDkhdAUupybXuGInb6ipmp3tECSS09Pold/tjp OehjH3wVJC08Ghmd8rDTRQ7r501BMl6PvtvbEjvNlmVt0h/DiV30Qbt46bFT yUak6lAZnFiprCB0vyBl3YjZlE0CpGeCyoUUXiPl9y7RF+dk4CSTYVPqlztI +YWqn2wJOClmJmuqVIWUeV4/5vaLcNKGyZ00zYeUwf5/hQGWcHK5PdBNWhUp xbrU7VtTQGaXyyP3jkmkOCqT039yg5x14dKDsyxIsT070qZhDnLhc4SrVTxS rE7NLiYVglzx9b7PTh5IMRXZJqOnDafpeuQvvmZDit7O07WF/nA6ztK5/p8O UqS6k0ZdfoD8kILamUpxJP+868z+twkI3+Wz5l7NSKYa+she4QQiNzp5/Zcd kmevh9zKMgVi5NERCct0JI+rZyQarAPIbV++yFaG5E7x0eMoDfD9rFz/zc35 eSuq6t7xoFAk91vb+TKS7Z9ye217AIqXrG1ZTCKRbC36MkglERStHCxmXDSQ bNHG/sq/DRSfpUKxWRKSjdhYCrfzg2JtVLyqGheSL8VundneCkpnMk6mD9Yj WezDrN4OPlA+OSJ5orgMSVO9ZcJMjaCiFbfzfvgUksYeyp3U+AEqdj+VRhU7 kDSy/6NiIC+oRHopTQXwI6nbKMeA2R5UhhU35sLDkFQzmxy2cz9csHHis+FX RFL8RuBfFltQjRuMMBjUQdKtIwak3XtBQ0wjW2r35vurI+pCJbtA46ovKeXm BpJ0I0+5mzCAhteG3uOFbCSp07KKFqyBRk/Jnu/7uZEkO1Lpd30ANP10Xgcx DCKJM+rw6fhYuEg15R+zkMSO5B1k9TuKoO2+I5mGvQ87Xrukr+SdAO2opMU7 8lzYETb5OIXuMGjnmPXu0MnDDu8qqY13dKA9YXRP/H0cdhg+iCqg1oOOFqH7 JzgeO7in9Q96aoCuSH3YzbFb2B5aO7UUpwd6W0Y+WTjuxvZn9W8iFMmgd4AU brKcju3ejXpS01qgJz/HN+E4i+12LVUOEqqg55yg+DhRFtt1KK+/V8uD3gLj mX128ti++7P2whQ/XJncSfvaowDbQv+UfDu2CNd+Re/ZNv4X2579s3tKuQ/X 955+ctmuFdu8N4SFnWfgujwLaXiuHNvst0bewwm47q1F0xKijW26O2ymdHrh xi7xwj/7srGNjUtg3KkCbsoU97gGMWBr2IkXw+WBoJ/DWp1rV46tz54I6kjW gP7wVoqk9QS2eg2W1qb8BgNG+R+VEuew1cb36/sX5mBg9njfNlkebNXsVXQ1 VIbbBy3+OvvxYut2t2UOmj9gmMCon/L3ArY8qjPQVLYEIxujYh5ZVWxx3PcT PyWAUcD7Fg91XWz5zzpASqwPjFL5roTM78SWm1xF3BwqYDT8rJfDxABbZCx3 TW+eh7GWGTkrPwKbf7DU+jwZABNZd9rRCk1svnf9aEmLGphJ7F1VyPyCzYYK 8XxhzGB2aato+F4ZbL4mwu5/nQRm1ntF/2Zux2aVtX86U1fBLLPlpTd/HTYL vW7/tsUU7opdO3vUSAabJkftuWQ84J60fH+u/gtsMr37ySEpDywsDsyNJ3Nh k/4lsX5LJ7B4IeivtayPTXoyCSApCxb5Rh+cdfWwSZkhgLECwWLdbfzd7mZs OpxxK6G/FSxfKlz8SWRi49j8Ool1Cv7r1DJNatmPjUZO58UecYO1S2UaY0sf Nl7PibnLFg3WaW0mG6YG2Hhpdv5tOgdY9wlqHDPwxkbCOIqtZxfYyH0yH785 iY08l6bWJOjBlubMbScHD2zoFn1aN74Itu1mzmwDUdigOtpqqFEH9gFsKocP XsQGBR6+6DFFsE9TDKSdEcQGmauOlAeVYF8bf/Oo9iw2CLbxnk8pAfuNyTTz /a3YsLXE+uhGDjg8iKtTeSWP9WWRrKv5r8DRgdHSN4gR6yXUL4fx2IJzUN9k hPVprD+S7X/b5xk45yTL8m07h/UH2YpFZxPBuTM5rb4uEut3Dh6oKe0CF24V Xu3hLqyb/e/bL30ZcMlglxKK4sG61CCv67Hr8KBLkMfTjQXr9pOyDh4IAjc9 B6vfZzSxjl16dNY/Fdw8/D5N3ZbDOqYYtqKFCnB717fFw+011v42eqBdsQhu 68S2GznHsLb3h9JjQz14lMltdeFeJNaG7+mfjN8PHuyWI04DN7F2x7VtmYcy wCtof3XqEhfWbrnEZTl0CbySyVHBYr1Ys3ZBWCRqCbzK0qY5XMaw5puMWhoz gNdc8ccOy1isaeIKTFjuAm8tFzE2N1GsedrH9rJlHR7v9dntK8KINQw3Dvg4 64BPo+z3IL5ArKHROa4osQw+E27eim/YsHpVTYFmNhZ8aSbb9I+fxuqvckYe d6bA9/QJR9G0S1jduC/ZVeMh+Gbn/ktpLcLqJwOiNnzJ4Pf24a/lJ9+xevut UzebV+FJQouszaAEVq2nCs1fuQZP6jUqaC8/wKpf37k8Rz/Ck1na+JzgW1g1 4b+avOQET09yV788+hurqvJKqLw/4GkL1anmjztWPWIEH9t5CKBzW7kvPI2V i8WqmZxjEJjkq1w204SVX+nkiIRzENgR5eJ0XQQrRy+JkI/GQ+CfWdZH6WxY 2TbJuKxgCEFX9Bcfsv7Byve72hQshuAFk/W+u4ZfsNLMXKerrAeCfWNba25k IxaIF/6ui4LQq+tZSiQexKS5y3Se9yHUpoWUdc0OMTx9kUVOGUKflr5YnL6J 6CAoeijzJ4SW0kZYNwkgnuCJU43QhrBDpwfUJmywIofBP8qEEcKWbKrpz9th +fuxaydo3CGiSF3z0OI5LH/9dkm+RA8iuhovcb7NwfLnBqHnHcUg4ocNr9/7 S1hu2ddyfXoAIsVlfjgLjWK5SAd4dpyCyLQyo9jO91iWVnak7c0iRCVWqmUw tmJpUuSqhbwpRJcoUK8858fS8BTd6Gh7iB6K2H7zyyks9SnIbPjlDdEbHCde JH/HUpNOI6EPcRCjnJhx9O0PLBXY1TRxuBdiyIveAU7MWJL8/LUhszq8+vW8 uOKZJBaneBN6wxLwxtgqc0ztMhZHhkT7nibgTcAKy6k+Yyz2e/sj/+VFeJNf JBd2TQyLzSrS2HQsIY6+f1mdzQSLBf+ydtQlQVxmzsXG8qf4KdX5i3o2J8Rv vV9Z4fkCi9KsfBU8/kCC7TO+mqJ1LIo6FMfl5gEJAU7VlWkqWOTbU7TwgAYS kp+crL23G4uMFWZj7bZBQv++i9KnN7/n5dBdNdkFiUobXo/b6fBjWMWhnAsC kMS3HnQ2kg0LPViRj1UTktcEG4xil7HQqrZvhakdUvYyqzF0/sDCW64/2hl0 IEWGd+a08E8slJ0QerTlKqQ41Rili+tjwc9PQb0/70DKL17mk58/YoGFkX5w ryOk/pUXjnp/EPP18tY23sZC+rGMX0e6/TBfObijdLM/TL80e2/LIWbMl7ZK cR6jQLr9tScvwq9iPruQ9oIQA6QX5UdSJ7UwrzMmbSjTCTKUvWSuCVzAPF2v K8XFWvD+bpRzeqUi5mpfzHXo3AJZ7exjOvffYK6C6JPjjrGQtXxUeEHOFXMl tuvPcspC9gEHMx+1cMxlrWIwvmEN2TavQp89m8ScDmlD7dEB+MCuZvf5Oy3m aPHsPDaXDzlS75sDTo1g9ksSmcTcArmveoxDPm/asftv1IsZyC04Kky9boHZ OoNHDHYzQG5bwpmmFQHMZpp8NLNZH/Novvfji7OY5flbmI63EvIshOv2mlzD TPPDHrLiBZCvwGyVQkxhhqyzaLx2HBQypNh9z/yAGRxuV+5SyqBQyHzu4Xc/ TP/h5XVMbxAKlXXFzX4TmJ4Z0F1yYy8UekXF3DYuxHS+t15dRuFQ+HuWlghm w3cMjb0M9k/h4/KXidK0AEzp5/GxjbCH4p30/40k/sGUj7XCj/U3oPi44DH7 gA5MibBqixAMhGKd+3n/MZ/FlEsVXEUfN3vRKNegmJ+tmFx/5/16Xz+U8HvJ 5NbNYFJ+SlcQrwKUKt5Nkhngw4QXEoLpqSxQnugRUljnggn/9TWXWr+G8qaV rcqRmZig5m3TJiMM5d9jtWbqOjGBjlK82KgIFefuL9+oj8R4NyctmRknqBiX +LI7qxPjyI7zgQafoJIrbcZw/Qq+8n8WXGdzBaqc7jAd2+OFr1Rcm9wiKFAV 4LVVIfEDvtpmSStZogVVbwtZHXZcxBh/dec4ehWoar4dFe/ghdH+TAbOr2Wh mi/nUdb1TozyCzp6pIEbqsnXn1zUuIhhviH1AQdGoFbxD9WN6zj60R///Sa2 FRosLu7iU3yJvg+J/1TG70KDv6wLc5wR+lA1BxdFaaAhiRiO6fHFx/0W5YpF UtAwHFtCZVxEr6wkz2nyK2i8/EbgMq8CPsgUZzRlpkCTcv79pSZGNJBZ9JDy EoMWeQXmYQ5ucLO+9/GQ62PocL1Dsz/sFjyy6+D0fVULHa/ePZrg8QF3p1PO 02XboKNse5dikR54PqKXyVp/Dh0bjHMat7rBu5as/+ZcM5CUdnUOTxwGP4r1 iEh9F5BalT4/LJWHoPn0L4qkKSBPUblWNfXhJRvrzxJ7f+iSfxnIvtlHJbmZ Wgqk1UG/lK1XVBEbZHJ/2RarLwUjv3y2vY6hQt4e6LtTLQJj4mxOL697wEeb t0rPXcVh4jtp3Pd0NZQ8Zi0MnGGCaaKtsuSxEZSEbS85rhkN0xfEHNj1J6Ak YaOC/EEApi/5dY29VYCSKmojp+MZmL4j/GbxVA6UbukYeLtuDdPe4owHF/mh 1Dt4I5+NBNPVp6Js+2mgzHuXWr98JHxVkLrdLM8CFV67RgSDDsK3o+9qp56n QkWoyWE+bVn4JqUwsOfrZ6hILDTn2aMN305T7KY/VUJF3Y0fu2K84JvamJiS tC0gYxL9n5TP8O1e/pfGh+KAkSePkSsS4VvioSNUoZtQeUWsomKVDWbYxM5W pO6ASoPuL2duxMHM3uWhlEEdqLzrSVtcKgozB0tFldzHodKFrFrgoQgzxyT6 x0hCUPnKiZJBZw8zF0j17ismUDlaMRW5qxNm3CZIk9XHoMpSh+U/kQiYGbUh DFVZoMr+ru6y7KYnd1bk0v2BqoduL70vbHomjd7t88RmnqfyvTQLh5lfTYuG 5+ihKuPPiZqEMJhlIntHmixD1WzKtf37QmD21DeKwbshqLZae9u2IxBmn+ky VagfgWonlonrezf9Qss5oCMTqt0FhMePbDr8/Dr5JgWqg7Ry184/h9k3Qg7R bXuhOiupVtA7AGZzss6dH+CE6oWLX93XnsJsTzfrwzp+qLFJlBT/5gdzB5Po bw48hJoHppFTws0wJ3Bvm+YYE9R4C/1+Y74L5kQE8UjzbagJe1/LNBULcyfC zRcDt0BNYeHVr+N5MHdegjUmqgVq/jQ+Shz+DHMW9sof2chQ+2ShkZMiD3PZ MnfLO+ShNiRXrH23F8zl3bRgPX0AamMcQv2062Hu44N32pPnoDZj9ebPDl2Y q0hduH/nDtS2b5kntZrDXHsLi4+zJtSxc+wJqI+CuYWTahp9j6EuXv72esl3 mBfJnok/MAl177omDwvHwvwxSdqcViGoy7X+70KUCsxLfNimZCcBddUJLiF2 r2BeJq7XK/IA1E1uD+EXVoT581pc7PYmUC/SWXU+MgzmDRespHffg/p8q8OB ttIwH6YjfimnBurL6NNzhkdgPvLaV7VSLqivfXu8W+MpzEffog/PtYP6bsqZ A0JDMB939cHoeW+oX5XV+zDsB/MZ/Om3V09Cw1k6v071Hpiv2mNSwkSChvrY r9yCD2B+zsbgWIgrNLQnhmgqRMH8wtCIL00INPS8k/W4VQDz3y/E3dehQsNU /tOxUCrML7NPciksQeO2ZpGM9bswv/Fi8PRWI2hUWflPvvcKLLBtJWkddILG Bp0Fg2cnYEH637vuzG/Q2HEtKjhZGxZk9p5JbteCxl4DogqtYUFOwtRxeyc0 TpsHC/5Kh4WzNx6e2zkOTds9jy8Y88HC+WB6q8yd0HQh085z894uXHnWbMjO DE2N25bi52ZhwaFD1KOfEZpIxWUbslqw4NQoPc46AU39Vn4GPnmw4FJRtegE 0DRD4eTmfggLbsk2WG4OzTvfyISrMsCCj+5/qdEC0HxZ6qFfkhAshMnfMxTU geaROzSWN4xhIVtvuTPEBJqn2Robk+thIYeW1PDwCDRT60KFFkVhITfHn155 Dlq2HD007v8dFgppA1G/AVoOLyvpF3jBQmnIZQUiFVosAv0vscbBQqPKX/sd 9tCyVMwsVdcPC5/lVp6qq0PL397ltxU5sPAlpCJlXxG00i1/YSp6Cgtjk7PW VgrQyiFdOJ5+ChYmn7tbV/FC68kcw/DACFiYqfkYde4ktDqn5f28vHm+SzNs U6n/oHU16kbe53qgMnBXPF0ygTaaQuUD/XFA3XEuu0X1DrQxdIkHUJyAynjv zKMKH2jbx0ZrXCsAVObsU1mTGtAmF5TFluYN1N1HO621IqHtoR+NvfUZoO6b 3v3L4jy0/XVIk/yTD1RR83v2HVbQTmeRz8S/ANSjRmzOF3qhndmwYkJdFKhi 11/G3hWH9v0aPVHRiUAVVz6Zcd4f2s8I0P85GQbUEzsnqcGJ0O7WZVprYwtU OSv5p1ZZ0P7nJP/VcXGgXjCIKL1vAR20R8UlGC2BqipNQ7HJhw6mQ6d3SKYC VW2Hjfjhn9DBs1On1OsAUNVzrxmYKkLH6UlvPt6dQL34y2ll7xx0PIwc/XZ1 Dqh6l2ZqNE2gY235jVtzOlDvXLlr16sBpC2aE5WhHEA14qUmd4QAiT7uYc2Z nk1PutyxTQESy7nUxojrQDWxexLb3g6kg0/WO5X0gXrXvX29Iw9IiuzZXxNM gGplzjb93RhIT8RZ9xjYAdXl+SzdqCOQnnumcO44AdQHp95RrayAFEyW31vw Y9Ofn5PcvYEU7XjvALMjUB9K1n6Z3Ky76SUoXPoAqI+a+afOFmzW4Qs2xD5P oHp3eu7nPgPk3Xc6zLuDgPr80kpCyCSQOcyd7a8zbLr3/XtaXSDvs+V1G3gM 1MDb5T5SvUA+5Pnfi9HNeEGW/3Jyw4EsGbe94JsxUIMf0SvpSABZZ1CB5p8s UMO9+qxF9gE57EpOjMAEUF9zvxJu+AHkKINriWmGmw52cJMtAvIr0/VMkQGg xtJWPRAZBXKioyaKd2x6poKD3gDIeWFfJ2VLgBqXpykUughkCumQpGYIUBOF NR40qwJlj3po02b9pr4rOPZgIxAoXM3SDH+3AjVdwLsgcSdQ9qv1qPo0bjpC YXy1BSiCatwN4XpAzbCnVfb8BxSZC0l1eVZAzRTK+hwVBZRbyoVVi7FA/eB0 Pv+sNlCSiP4Sq39ALcxM+qfDAZS0Cre1pVqgfmRq3kLcBEomcUDuUcCmLe1B WxEohWeNPwVyArVISJPtwhOgNMjPfny/mX+fomXc6r4CZVb2X96320AtNXMv zGsHCvXT2x92m/eltJwDEvOBsiSrKLk6A9QydjkiTxYo/2T8cxmcN10lwkwx hU7WU6wfjrwAagXHpw6mW9C5pzB34cPmfiosauc7t0Ln3pN64jLcmy43vvic EToPSUdnqWzmN5pcFgJj6BQsOD3XvrlfLExrdCagU1RqWOzqZj5Vbg9eZy+A TvF8z/+GVzd9g/lGeQt0Skkdem9WsekM3vsaq/8DZo3Q3g== "]]}, { Hue[0.9060679774997897, 0.6, 0.6], Hue[0.37820393249936934`, 0.6, 0.6], AbsoluteThickness[2], Line[CompressedData[" 1:eJwVlmk8VW0bxSmUKCSSIhTSoERUyipESYU0olRUhiLzlHmmOOKY56EU0jEP Z29CmYejUEhSplKKp6jk3e+n/ft/uve91rrWdRvYXJU0Z2NjW8LGxi75/y85 tLj41WV3GG7lC+88yt9ODv353X3qdw1uVYWX8W27TA79+q9c9vksbjWv0Mw3 5CWHvn326T1tjFtjop6/NQXIoaFeIWWH7bgtGdHBNjpGDpEFqrMlrbgd29l/ tWw5OeRlHHJn3yrYhNRPW1nJkO/+VWy2RBRsn4vbItGVHBxrN+zRGIS9OCtp 3pYkB0Yua4THP4Nj6vNnqdtGyP6PvBzJUr/gYs6tyr5WlXzbsaZGNtMb7q2v DmfNMcg3rfH7/jpGw+sGN73wqR7ZV+xacFxtEj6Teku/HREle9MdZ2dVGfC/ ltVZvz2B7Embmh8L5UAQ2+pBFo1Jvg6tnTfsiEeoUqpvba8n+SpIoIz3ehnu xY4H/X3aQ3YH39UWV9BG5GNbqVcWn0mWg2ZX7owoombLyv+ZtpFddsGi3lwu iLlkqveJ4Ut2GsmadAqIIM7gxPnY4+1kO61+dDbFEIkJ+wM9umzI1qjd9weZ 4UhdMThSaO1KNt84v62y5RjSk/vGP6aOkY1XHI9s9xBFZofqTp35fPLFLp3T UettkeNcK9fDXE7Wc5/jypN8jNyrAcnut+TI58uMlC82zyHPfP/+4mEHkiyW L/ndQMfTP9oJqf+xkVWZMXMWqmZ41tHRZ6nCIsseWvsf8vyDovKDPoneJFlk yJhfTE1CyUfFcqbCabIgtrOrk7cFZbMVeoVZfGT2m/V+ttF2qJT89VfyVCiZ XVq/xdd4EZVblTZtuh5CZkdbt0VLh6Nyt/UvjdkGMvsUsbasNAeV6q/cTlh8 JLNemD751/cGlddcCwet7MjMouxX98QOoTJr9cjbpDQy/f4u6dycVaiSkhe/ snGYTLfqa666nYgquQmHUyvUyfRjPjZtKltQpZD6N61nhEznYFVMN6qj6tA/ u937XpFp7o4nVSYdUXXZK0JkdTuZ0uUwFW5SjqrEoMvyCv5kQmBIRIPNGVTz 6fcXL9lCJmi5NrlHs1AtNOwZd2cpmcBluVSh8iSqN1gFcSnIkPGBOk4pnFqo lrudJCAkS8YF8pg4Je5FtcbOlAqZZSQ94N422ZeiqHZ8oPjJRJyM8o98ESr+ DtWvaWsXViaTUZo+bIc0L6K6/1zY+rd9ZBTHnX0/LXpQPSz8i1bFTdL89fOv Fneg+ov3fX5GMhnpvzpaVacGzCULVg2mueS9ZVvq+qY0wZR/UJbafJ8M4Nz5 OzmpFUyv961vb82R/m5qVloj18EMWHtd0paP9Pum2z+9lQ3MUM2lQzLlpO8b C6Z6mSKY0V4CN7tfkd75mV5jXQlgPnLrWePNJF3y5FeY8bLAbPcQF/keQDrT dT6XJnCB2c27+vmm/aST9402btl9YPbSJOwLNpAOhukRBYfTwHzvpvv63Qhp 83ur3PSXQTC/vzR07pYnTVSmPRW9t4NYjciuAQ/y/HuzpXeLf4MQFj13+uIj 0jC4N/jlRBOIdRMGe9ROktpFd2XKc1pASF7L1/i7E8oCbSafzf1B7Gx02M/5 Fxpli1lXjsmAUNS4ILFvOXRviMS3DoWAUGYs/VajjLMfstUNuLaAOGjpsFgs AjMJK3p0vDMIHa3jA4dKcF1XofubFz+IEyajT/Qu4abznICO2SMQejcHDrZo w7rDP5xt51sQZ89n7ulfBTvyZE3JyEYQV1KUyoVOw/32jVJJV18QjqWHlL/G wuNOh7B/Qj0I595NShsTcNdR2WmsmguE6xf9yTN/4OXBqZL/LwzE3Rkr9xQj +NR3GScfbgYRYO/janYQvloBvO0sKxBBe4o3eDfBt3Evk+0aL4jgz6O8oRbw a0kTu+Z/CkS4klSfShgCWLffyb14BSJKkZ1/xxoEGkrdNzrnCOJBtHyswncE vu5RCx8XBhE9IXjo/CcEvTmYMs19HkTsrSE1njsIvvj9lGT8PIi45BIzz3EE D2Qtnt6aACK+VkL/xAqEvOe9XHp8EETih6ifbeYIvVLDNzbgCSLpfaiY8SBC R+xr1t2SAJHcNTtqoY4wc1lbnYVaECmlLaoHnyFstF/C4/5VEKkRnOseHkT4 zfudBRuXgki7mBC9heJJde+hp1kg0tf5sbZF4d5U7rB65yiIjDu70yR1cd/G hOZwJQhEJvf4hJoV7n8XOJz9g/IzM+bVzThbRNjVf+/1pfTLWjP1TDwBEbMu GdyClH5ZQTus+rgQqSosJ2ZA6Z/1Jfy8kDsi3afZlUXPgcg+svR4piQiq5ve nPxA+Z0dGbZ7vgGRC5nPbjyeo7hDTMBWBDS1uyHe9kdB5LAx2K0CQfM6dyVe NZ5iaQ2lyGHQahT2MZZOUnygaWa2GVHsPALNrfsp1kba8XpEHf44MRIdSrFm MkNUBFG+RO1f436KlQYrRq4iqi4uQUiamoectfOmF97iAYed3Y4pD+r8qcnr 907iwRFdHS1qPxLZpY9z1nXgQaCM1GVPMYrtlATOrsGDF4u/XbRuUyzhXeQT hOhlb1i0VQR139rQwu/ziD5a9Di3l4/iM7rahwUQHXLP93mqKaVfP9nmaoLo 5hsX+28UUmw4VKy+gBiew7tnd7FT+tfkBPKvRIzueh7eOQOKN64aOxqPmPDZ EemaDMovW0G603HEtLVXqQXPUH4WPbW2eQL6qkcPzulrUn5PDBr7/gP9lK+V 7bpoilfHOaSRoEcaawQPf6LysaN/MOAFYlfzzVTaBVJ5Uh1viXRBrH5G74F8 qg8SlUT40r4jlrankpig7pewUTNOTBBx/EY+daZnqfy2B+j9jkDcqa/mRxIp /+lRtIKhbYiL8Dn6slcNRMyxsDwPV8SvesjXepLqh6jIfYsG84g/uW/mZAiV b9rGMQMDEcTfa+3pbFgFIiLD4VDfDyTw/kh+rfqTmi9vCT5tMyTyqG17J/eS ms9kK5nwa0jU6eIzNT8Awq+uRp++E4mh1358SKP08xl4t9rpApK4QyrG1sZR 8z1m8YafB8nLXmtPc96k+sEkUOq/UiRr39xmd2gAhP26D6OcQUgO/LNq1kMP hG3jnOhRK6RwSbyem9kLwmrxSD+7LFI5rM3Yh5dTfdN6XGxdG1I1FrX9N1D5 uCyuvZSeglS/qG1c56ZBGF/9cWLMAmnsRvOcN6ypvqo3zIt6hzRvnxrud4ZU 342pnRjXRrpn28nVrZtB7MovqtzKjvQUOtk98Q7Ejq2JxuzJSCdMFWKWUf8v l6Cs6lCD9IUZobUaVP9I6YcSa+8i467IwPqKWRCCEn0Vgl7IdDez3PywAcwf GlWbomnITP5gTA+kgzl1zy+lfT0ya0xPLTe/Ceb4yxbLxihkcRorftnEC+bQ yoldo/bIiji9UJRiAGbz+77z3RLIztSgqUe/BzM1e7St/SqyG2r9iu0ZYMbP f+hq/IzscTjJGPhT+0qNoXLkNXJ2qBqt4JcFMzjh02SzPHLKFDd3hd0G0zbF 3MaSBw9bpMpNff6CebDPtvmYCB5OpT1mmbaDqXJwfYsrLx7xiydrgtpXux6s XRgYxqMzor6yCxpgbhLcstiSgEdDq49/cwkFc5lZhUc/H3Jn2Ic8bURQ3XbW SY+DhjzRYa4kY0VUn6w7I2GmjDxVPh/N6Veo1vpZ46Tsizyjg3+mAhxQDfGs gkkgLzHhu1pBMap36nKyBXEgf4Nh/zC7MvXeEL+hJlyEArHGZ9I5+1HVmrcm T8gHhfznd/S6SKIKdUtFGw6AIYg+0+dyqFw+EnvgXzIYm5+dXXmLCxULxND6 nEEwlKW6K9d+QMWPSMZdYgqMC5wdgrcSUDEgcsL4iDQYKS0NL9atQEVBBS3j VgGKtp4r2mYziQqDs7bzpatQfNjm3k+xPJQ/CH/svM0UpTapGmGu8ihbEjuw bKs+Kn35SsIneVA0rfn9YDWVI2/+d9L3NqJwetf87cQC1Frqr7KSi8aTVjVp l8k51NlkKMhPBCCn9soxvSpO1LmYxYxuaUZO/opjM3VHUOcj8zv5Jj9y4mro HJnpqIt6Us8zmoQc2zOiBwwqUVdScnZ8hIEcCXH+X8O5qPvT6JEx+B7Zvgpa +5WbUR/0tVGYpYosvWve0j2P0JCmeulf5XdkrHnzuEH6KRoevfq0aUsSMjhk RQTsKX5220qbroX0GZ+tDbZaaHie7hx5JwHpLCNF37wSNHxaFim1RR3pkTkO LQI8eCHXXXskJgrpfPT47m8eeFFkvSncVglpwrUlm3p58PJF0riotAuSou7K sm80xsv2jEjdQ3QkufydmJSqwsueR3s9jYqRdDkyc61KB16OFgV/oH1D0vYZ 1mpNJhq5muUe/7uOxMZHQjq3nqFR65eVau8ZJC4lc487S6Dxpf5Xk5DdiA82 l1GQvICmRq7ZtC+fQW86UkZq70FTZ0X14t6ToDMYxa79LWh6Yx1g4scAPUlJ TFlrAU2TLGFRUTfQbez/6Pl+RPPKZJUHR5eDLjxqPjD7Fs2nFd0CMmUQYxHS VsW8hOZ3pmyWF64iWswidGr7crTMVvAqNrwBrdrvh8kbHbT87f2ZShSC9qTd 8reoDVo5fg7zlAWDlihbsJDrjFYhpZKRXGXQ3LhuGVz/g9Y9hZcfhEeDttc+ MnLxDlqdHjJmTushsnzJWEahJFrn6BcY718gws8wbnYgCW1/7R8q/ClC2HyC tb8WC+0cFkU8Ul8RNmQvsITtFNp5LxMfdbYirOHaBk03UbRvON5Dj8tAGC1k Q5KIFtoPbOb8sycKYVsnmfpZE2h3f2VWb2NLvVtmzQpFuND+Z4/U2RF5BL/P 8N0vNI2Opdvkd62wRHCTZvb67w3o4JHcz62Qg+Bnf6ZqfTPRsX6lfpW3OIL9 ch+/W+aAjv2ffCTEViJYdnH6OPTQ4RYzNHH2C4IcgnMd26zRMf8z2b05F4Eb Yjg+XpJBJ7vuxxqaEAI5f1qN/6tCJ2eKW92BHgR8uw0BAxKdqw7nNEafR8Dz tN4mRjY6Nwb969YwRoAlX+zMoiY61dcUjKdfgz+T/ckvvwJ0BsnzCZrcgZ9d /pghvyQ6w7yyhbl3w+9S6Q6229R5EV2qIsU/4KfDsgzY0IbOOIcb4rwO8Nuk 5Uu9NtGZW0luqXKB7+v1Ygd0H6OzVdtGbZ0XfA+Yf1siWYMuAdOOm6/vwWcd h4XB2CC6hG462Z1fDp/lMVadb4+ja52tmPtbX3jP7Rm+qRWCLkkvq/tDLvDu zfo6pjKMLoWUZcUTV+Edu39N2DImuvT7D7Et7IX3OqWywQUndEWdKYzf/BGe emKsVvcJdNFNzmU8vAzP3eMfLnoYoyvB7F+e3Ft4CnVENB5TQFeGgy4p34G7 /d9MQwMU0cWIGv+0txJ3LZw2/Wcijy5Wp6SCbiQ8QkIbYqT9wBLUoTU5HIDb oNzK9tvfwVrbrLT87xK41SgbHfQlwdpwrOeoXyPcMq8axclMgiV9TPTlA0O4 WQr96nNNB0tFO7OBYQ3XufG9Jz0LwDLSLKmdToLrBnFOhapRsDLV3lRaL8DZ eeG/A3leYD0k3Odn6+F86SH/8GtZsPLUxPd5hML5iNW2K4ZPwCo5eLU8XBjO ghpTdEFhsF6qfi59Ig+nQqV0eTk+sD7vXWBMXILj199Tjak/wPpWnvrjzmY4 9mpL/Hw7A9bsXnWFuUk4knnp9gbiYC2oBD5b7gTHyDpJl+7L6OZT5nsqex+O SuuPyEaIoVuw5NnXp4ZwFNvJHfhfJrpF9hjKq4jCkctIl7PpCrolleLytXLg 0Pf3U+bPMHRLF+//0m4Nh+d2K6TWPEH3VsXB7Wd3w+HJovbdJcXoli/yshqc g0NMln/6HVt0KypKPjEn4OB15VG0Q9H/AJd263o= "]]}, { Hue[0.1421359549995791, 0.6, 0.6], RGBColor[0.5, 0, 0.5], AbsoluteThickness[2], Line[CompressedData[" 1:eJwV1nc4Ff4XB3AqDYkiFaJsLRWJIu+0lIaRNulLIZQRUnZF9spO5BqVvWXk Y93rktzrIinSUPa9KgmJn99f53md55zn/c/54xjYmkpe4+LiWsDFxc3//0p6 5+bYLkqB4Hw5MfdPbg/p/TvdpjtdPW9NL5rFbtL75/dL+drxeW+fdhfcQno5 w96dp43mLfgulZFOens7hXc7bgXn8zu4Ze0lvSRHfby4ed7/FWlesie9nkb+ 9nv4wflkK7lzhyz5OFsmY4UIcD7e0thWfo309LcYvj3YA05XcVbtf8mk+6vJ waC4fHDac8RvnD1IPvTxLXoi9QcchpjviweB5D1jdbV8ihc4dChTePeRrua4 PTNOkeBUT123imol74ru5BzXHALn5YInBjdmSGey0/i4egE42b/XhgQakbdP R6f6AxaBk3KiVuCzGOkIqJkyZMSBEy09lXpJjLQ/XFXKZ14Kjt9Gyq3BnaTN z11bYqc2OC6+q+1quwnL8VDri1+i4Fzban3H/SdpdfAT9VrsAo7eHcnulnbC vCRvzFy1DpzdlHu6Lz+SlvD67+OJhuCIbNOw7SsnzRFKIT2vgsCe0l/GLf2F NFmc31L++hjYzJ/n7zidIfT/nA5vdRMFOzUy6OrhOEI/nxdnLhgLdkrd+zJB V0LXHR5NeiEMNuVnRNO+eWuaRgu+XQl28ql9w5YNhC6m+31qBw/YT2bt/Mr1 SEPHZj/q1zGwY7ToXIzHpOFob7PJcSrY/npSqVfdCW2HzukIMTuwrS3VY6xP E5p8ju/l+/5gW9nX3Oe7QWgbBMs2D1PAvn43VPDGF0Jb8UGirqIdbAv/2ROF FEIdth78baQKttlTEYOxcEJND/Y6nzAL9qXnTxfR5Ah1PTN7g0Qw2Mdli2uO vyf1y84tzpLMAFs+RVk825jUc+uuterWBVsuKMHDTp7UTWkrbIoeB1vWSW2b ST6pG1Q99owPYEsfWmi55T9S17g2KHliPl+is63u5SlS5/dOMOb1fJ5wZ9bn wh+kbukFifvO+mAvVIr7FvKK1C65tPti0yRGP8hud/jpRmpm0+VGz5zDaNdL NSfNIlLz+8daz94SjL7TWfHVNITU9PlOpo47YbTDat3IinZSU1NQzhH/iVHG 48Byzg9S48aL+3ajGK2rJa0LTEj1WNnRrDVfMJq5jq3xcBEhRYrF09RojDo9 Chv+soOQlJHTizxvYPTWyBu7Ah9CHr0Y499zCKMOh7J2qmwj5JbsZsmsXxi9 OaYzsnw1IUpiiUcj9TBquft7Rsg7UpW31DfajBejF72M6zTTyavML+eUuNwx um9aOff6OKlIiZq8rn4Vo1zK/1z4ckjFozSD2FgHjMzuMjlvcYdU3C/Kavjt jZEZZUHuCjqpMGv7Ty43ESOTW8w23q4jFTIrG/ukOzEytsTXMCSblKcGPjbh 08FIr82FaUYPKUvz1jTs2YGRym7l4SBdUvrM5sF+j78Ysee8qja8TkqjJRPX unpgxHZ/GueiOil98LaU7cKFEZvQZSecxEip6f7hBPvFGLGQUdVJX0ZKxYUN Js1WYsRoe/8UlyspiaiSzNOWwcjhJoOH9zeRYg8BslHgBEbWTEZnH9cnhYYF U3NJCRjOS+yK6nYnhYdCGRVaqhjOvnV8ie8KUrjLJs35CwvDGYfYbVPqpHC1 nB5bbimGU3rr0qX6SUFb3LPuLCcMR/8y5u9kkQIDrzNlZacw7BYmdTEhmOTr ncy/1caN4cMhxgJaB0lODLOVyfcaQy38y2IYZiTHsWMmOmQIQ420PZ771pEc /Q/yxquWYoh619heeQPJWf7NbUj4CIYq3zquuWFMsj2nFRaJV2Mo09iDxZNJ siylPdQUizD0MFWcFSlOMtScNz/VS8SQxoxyYGAaSesSu28X6YDB+I2nubhz SFpJvcI9ozkMRrZ3jGp1kLRImzeRskEYDH2Q0bThE0nTrVpbWpKOwQdvsXC1 DkmlXcmcfdeFQdv9tWyRdpJSmNYeLL4fgwd3MMTzFUhyyA7ZF+n8GOi3shKX PkPiff1DqbZnMLDxVU3V3g8k/sidRtdIFgZEUxgJjUokfrHVwp3lpzCw2uf4 gdv+JM5XxzmR5wgGlu717ah2JbG+y42dH6uhn3Nj5J8PL4n2Cd4i3yCK/so/ t/O4A0jEgzBagMRH9BuGfJaM9SI+PNunnyQ047tTHsUoOR6uNy1KJO/cQ5/B D9Uf/2IQIyjwq9zBF1/4syq7HZSQ4nrVSuYZFb26s2FPzZqQJfp5cYKRMrom mmXWn1yAAiG8u1K7CR2SlO0LBC6jxDbpYOAdRTAvvdT6TQZQ4jnIc9rjJ5jH 19/zfSeMkjClBrEHxWDuDUhK51qNkjyaTmaYBpgiD0JO819ByY9R/dfPdMDI /SQev60SpY7qV5Z3XENL9rnHj10W4KVLp1vQzgQ0l9a7ntTPRfk9geKgoeVo 5Et/cHudLcojlpRvPxEL+o/9eR7F+1CePFfVmisDegdn/NzuIpTXcOhrHDVA TwpuzqvwQgU3433S7E3QlWl/5GYsUeEdOlcoyETDlR2maHdHpffKY13qUaDS PxXu0c5CZfjSU66JUqDmbTgo8VsalclcpyW4ckCNcfj+87cfKqvHjEypNFDN L5gMHBzAKy7mzRHdSVB5pKifpP/ilVfYo7mrF1F/JNUicbcpqrxWfpQN3oDa rkO2OfdDURVuJr1RTw21NZqR9u/XoIpSbCkmpIfaF3rv4oJTUEW98HNlnBdq 77x64u1+GIQ3hedv2ifUipXKuayxAYlS2dZaRUHNVSmZPHdtVJ/ZWlU1KYjq xWHmz8+2o9q447PGhUSQL38OGrj2otrcc2FZxWaQl3+NJyJyUX279WiRxwGQ a0ES+s23UR3vxMpY5ICq6jd8vpKLUN1b9T1qZRteeZbwstxCUGOlz2+9KRIV EubTx3RWocbB3GBCLRLlM9v1PBKsUXPXNcZbe97v19uxDU+gJiB9Y8y1RyiP vprbz22Mmoy/SnXJEShfmeFu1JmMmuG0c+tFwlC2/HezlvVx1NpMJb1ZFoTS 9R/2t2e7otaJv+/8uiCUzPFl9fX3o9ZdRuGr/Lw/m1TuFZJBbfCp/KnDgShJ tzLSnMhEbXZKvax3AEqU+Osf6gSjln1ywH3KD8W67koeZoqos6XsVBz0QSFF dYdXSw7qXK5GfVdoQqHvgedJ/ItR5y03/cRyJQqt7CvIpcOoi8isX/49AYXK e7cYO4eirrj47MDXAhTQ7O6Wnn+Lur90N0rPJ+T/OqOqdEoI9Q/Z9DUsdeSZ Cy2bjf+I+rD8rS2rvJB3Ss9uZqMb6uNuhfvo0ZC3O1vzxrkq1GdMXvzFMEDe kno/9afcqG/hHmU2WyL3bLOz7JdcUFcLCwXQopE9VtAgupIH1Kfql2fLfyBT TzVTbXj+zp63f5NWSECmAj3rc+M/UPNvWmtHH0Emd4j9QrdSUGuTb4fZxyOj sNTQkdsa1G9LwqQUDiBD1EVklF4M2qa2msNREXj+4x5laFoItEIb6SC7XUiv 33Lt8/p20Cp5XuT1fEQ6pW+CKI2BVp+0veO4H9K9mxWfcKuA1sHSkJDrRvp+ qXKl6dWgTaoZ5vb4IK1q6EL3lXQ07Fvk06bzFqn1xStcCpaggZYwICrrAgrn dVy6ZRUaWihhJ/ZHg9JRSGn6loiGt8/VPC4VgVLxqiHpsAgavhf6fQnngOKn Sr3Xcgn0xU2bMmbNQZGq0ipP4QX9yB9r9c4zSDb+JedyUh70Bn22sb8Skjq/ EREtc9AZ56JDU/WQlPmsU+iaA+idxpo15CaSPFPLAn71gd5vGSr7+wWSFE7W TB1YgcYlntvZphuR6HZmS14xNxq1s+w91fnxRHEmao3FCBrpi8efjgwjvrJ9 8lpMPRqZZZVzaqcQH3kkV0a+GY1dNj7G9wsQb/0rtWKVAhqHWGtERe8iXmyW r5TJi6YVT1QfHV2KOI9mWb3FT9F0WvmuT4ocYnWXHTGJ9ULTxytcVhdMEb32 T/zThgo09QvS6ak0RE1oNNbxpaCJQw2XG9uMqPbCT8YvxfCae4vkV98fiIrY nXvhsh5eS08cNCryQpTAw7PcBxzw+nqQr65AIiKFRHp5WibweryMT5nahQiN fetje4DXM50TSVV5iJASqTbNeYPmRROfl5f6IWKp6NddLaFoFt5V/PXFboS3 +/d1ODmhWSXP5FFQJMJthRPSu7rQ7Pys4NdpPYRllFf42cmheTL6QsEnGkKc /ta38FbgDVfxIYmuRIToSA5vtY7Em6XtigEsJ4RI+DBuXAvGGxHBhab1Mgim 8/icVOHBmz3B2YLPvBEs/iE9+7I/3tz14XK4qYHA9gTeRXXOeDNz69nOv4Xw tzle0tAzhJZF1wuXS7Hhf/Sovg0vF1r4TKr6dDbDX8Z5JnnaEC3rj7+NjqXA r+e6C8vXBS0aMjx/VSLgp/+Y1uQQjBbX9qv1tnZ4eGCmbFdlJlr+qkid/aoI H+3JU0OhRWAs3KK4g9cKPpsq5I5KXgBjueTeZTvT4bP8+ZFirzAwxFboV3hJ 4AGTy50+sB6Mvd+8N4qvwIOLlHC2TzcYd6N6B8+O4P5tt7RSkTkwpiaeuDa9 gHfLqstpjG1gcp/oqw4XhndBcMZX8dNg8iTerdN4C+8Y5QHWAx0w+bXS6ZHn 4X3ln9aCuHEwNzycbTtoBK8Jt+fnV7uBeWB1zkCyGbwUpuL5pBvAfKgoIGRs D3fDnJwBWQ6YgZ5pa5YpwV0eikdHR8AMbVVfV/QTbtPCB0oXbwQz1tFCgs8R bk/DAs5G+4D5opwoVLjAdeylgWWwMZjN2raaIp64+8TxETsxAK2rrjAsO4Lh IvvXKPwVQauwpbPD+aVwWTBn0E2hoVXETtz1/T3c/qTiGvUwBq2SntYhvS64 /Vj12DtaM1p3Ji4pGjTFbSF/Fa3zOWjV/7Cf658anFdsvrD9Di9aI87kxcn0 wVEqah0j0BWt0cbnKM9M4MhjfGWZwia0xl+dzdr0HrcGdIukGi6gleJ4gigy cCsnP/LnGz60FkQMfFMrx619ZvSaTDW0spiSO0+EwcFU14OnZBosIZ3wxvl/ wI5erZL/2hGstU27ls4sgF22X5O98zOw1h97e/Q+HXYR7krWt8LBkj0m2vDI EHZGA9f6/dTAUtVOoRbYwLbfO6fZ5h9Ylw4V14wl4KaBxwGTPdpgpWh2lc/3 rc2urFOJOAfWsyrXqfF6WO/u7/43/QmsLE2JPW4BsOYtvT4qPL9fvM/0ZdAa WBVuFQwyuARWg/pwSaYirJaYaPXQvMAaVvtXMHgZlpVBNyvGboDFeZn0014G lpFGHrYxdmCNqx3YOTkES5sbHhYy7WD9U/XNX+oMS3G9PPXfzWgT2C2QKx8C i3sr09Me1qNNqDifnWsIi0vdcxsET6FtnYqhoqooLFT6Ra+bLUSb5K7Y7CPp MB8q5HfJM0abbNHekRYbmFMdpQ/Hzs9vVu7ZelYJ5k/tHX5oi6NNsdDTumcS 5q4ZCXP6n9CmrCyZea0K5uc2aAVKGPwPPx2ccQ== "]]}}}, { AspectRatio -> GoldenRatio^(-1), Axes -> None, AxesOrigin -> {0, 0}, BaseStyle -> {FontFamily -> "Helvetica", FontSize -> 12}, Epilog -> { AbsolutePointSize[5], Point[{0.07, 0.5649216036712891}], Point[{0.07, 0.10208328419612739`}], Point[{0.07, 0.3329951121325836}], Hue[0.1421359549995791, 0.6, 0.6], Text["\!\(\*SubscriptBox[\(\[Theta]\), \(\"s\"\)]\)", Scaled[{0.9, 0.9}], {-1, 0}], Hue[0.37820393249936934`, 0.6, 0.6], Text["\!\(\*SubscriptBox[\(\[Theta]\), \(\"A\"\)]\)", Scaled[{0.9, 0.75}], {-1, 0}], RGBColor[0.5, 0, 0.5], Text["\!\(\*SubscriptBox[\(\[Theta]\), \(\"A2\"\)]\)", Scaled[{0.9, 0.6}], {-1, 0}]}, Frame -> True, FrameLabel -> { "\!\(\*\nStyleBox[\"E\",\nFontSlant->\"Italic\"]\)/V", "\[Theta]"}, FrameTicks -> {{-0.4, 0, 0.4}, {0, 0.5, 1}, None, None}, ImageSize -> 250, PlotRange -> {{-0.5, 0.3}, All}, PlotRangeClipping -> True, PlotRangePadding -> {Automatic, Automatic}}], { 400., -133.33333333333334`}, ImageScaled[{0.5, 0.5}], {250, 154.5084971874737}]}, { Inset[ Graphics[{{{}, {}, { Hue[0.67, 0.6, 0.6], Hue[0.1421359549995791, 0.6, 0.6], AbsoluteThickness[2], Line[CompressedData[" 1:eJwd1wc0lW8cB3DKSEYKlVRWpYyUGfF+7QpZWckMWZkpkV0Sslep7CQrKyTj 3muLrEgqaSuRBmnp/97/Oc6553Pu632f+zzf5/d7XhPv48LODAwMK8g/E/on RtQ2K0jMshGd358wr1PW/987Tc2IPhGzLq0py/8tMhtIDKk6ZuTe6vjf/Eti xGiosEZN2+X/zcH+gJh4cGrGbXor3fJLYseIqdPdb/pFJ/73hNAp4o0S3/k+ OYf/Xf5ylJhuWRy4o0P93x75m4m5AwMHLjyzoFtuefUV4ut41i+7I8H/23T/ MvHj9IXiDw9T6JY9HjpH/Oli/3RMxIDuvYsNnWAsyhWM35FFt3RWxFewsNQY yKtH0y0xmxMH9mAPzfr0K3Tv8uaKBlfhyeRQS1+6d5i582Et7zWHtVJhdIuc Y9sDntUNd4d2ge4tVVuiwaccWq6qYU63AE9qFdabCW7mfXaM7o27M9yxIdTP IHhZmO61Xl/2YBPDoQ9LlbF0c0ZGckPAyp96p46dbjbxV8bY3JlrpHmcPr8C /9jXf4fgeDt1hO0x3b9nN36CkM1fW7ZKPrqX8hlLIDRMe9F24DDdX4L2lEO4 c+fJMudeuqdSN6tCdGy5v7ZxO92TexT/YtuWg8csJNPoftp02BTbnGJnjuXR 6B7LOReLbYur3nuVedD94DzNCzu26z3eUfeP7iodu17sbJDTXlmZSHf50JOt 2MX2SVbATojuEh3TC9hlXa1zh9OU7vz3H2IhznxmkvnxC7pTfg8SkHDSOUq5 M023Z6+gLXZb6T5dETpOt4dslgh2Xz6sySHcT7dr2sUG7G7J53bKpudLwFFF cxLS27R+vfP9Srel0NZpSH8LE7wdeYputa1ZcdgzJLSG1Z+X7lWre29DJj98 1OUPPc8CTIp3OiBDuVr449H/92ew3CMHmcnX3IEcVaQ3LZ1y+AzZzasWRvOW 6J7mWvkNsldu34mlraS7veLoAchdu6hQc0SMbr/DsUNQ6F2xIcKKvh6bTqYr 9UJhbjC+oYie500neu0eQ5Fn4vTf5lV0W/0REoWibf4WU9kDdGucueMJxR/s nt0WJXRzJpp7Q0n2hun0/UbS/CnHCtmwfzJL/ITAGrpj1inVQmWNP1d5jxfd YcXbTKGiVpDacOb/60/6SOyDSiHzk4D4m3RrObFJQ9Xr/b+9U/mkN856jt4F +EovJa+hz/9GIbWzsVA3G+cLiLtG99qXIspQ91f+ohl7j+6VhqqiUE8Z4V4Z GER6w9ukP11QHyy87HnIiO5bGanPoWEw9sI04D3dwow7DkPT7CGbvkg4ab7X Aa9toJ00YhZx7yHdD++JWkC7dv24g9YI3ffqjjyF9uM0puAWen75El6ynIWO oMrwlp/09eKTn0yMh06VScP3llekeU/fkpvBgam3Hs2c8aTX3ZXYtg26Pqdf f3Nkpjv9z5NE6F6r8tXnpK/fujOuGq+g2yV7x+y4BN0KLHOR0BPk4jjfv470 2krVV5nQGxbbKu76nDR3opnQfRzWOVItXO1MmnNWdVIPRvJMRrIN9HrD2eg2 ZAgjY8reVede0n1x6sM0jLzurLjRKEL3liL/ZRjd3vFy3HwjaQ4NHfNHMBaK ueK3jv681c6nDWRhwu+pTn1cSZp52VhBEaYKjoWiOz/SfUdjPhOmVkr6Yzf+ 0G0n4NAN01CDYPV99Ocx3fepT4Jpl5KMfZgW6ZUnVDQPwMx6c0itUCZphvAc rkcwT4lQL3Eiv8fPW5fy7HFUfttPZ3UHuneP9VNw1GFl+sfvG0gv1YadouFo /O6YrWvI+ocfjT0btXH0nUf0jYvk/sZCdSYlHlbXkwoPjZN5wpdDZdWNsN7I 4BCfZUj63VsdXzfYGfo8a/mlQbfEWra7sIua/dKbVEv6rZexSRDsmnpGS87u IP16do0VBfZ8g4ZqxTOkp3ojpHJgf3FO/W2lLuknfwbOLsHBL3ku8qES6Z7v 9tqVcPSdf/Wj7wjp7uk0p8twTA4Z6fFVIN31xL6pA45Vql9FDgyQ7qhMz1kN xy9HV9a9LidNldszegNO/isrOCULSNdH3Y3thfP5M+HiVtakcxd6olng0q8b ZOAkQDrHKW6tNly+Tfskj9LHe+OhTHg3XDd1sDrfbiKdlTzvvQmubvvLhVdL k059oitVDjc2cf7shzqkoyy6XKLhbuZSUGdH5hWOMY/EN8BTxL3W2jCAtP1f v5xEeJpVndzua0fa1pV7LAieMSamuyXI/oqjwn1L0vD8clPawY4+fgPRin3f 4dWZe2uSnaw3UNCYUqbARx2BmxtsMEL8fTUgPAI/UX2B+K1kvoifn92bE+Gn qTDOI0r2N2Jhbt2dN/BzPFrp7tBMepZC/dwJv8JDRGZEFOlndWuaP+DUzomm 0W9PSNdXXfs1An9VoakTTHdJ2+t/P70WZ9IlNWk3fEhbZWjsdsSZRuJRgSTZ 7wjTvhYxRpx5kbDr5T+yfxGHGA7qiiFA/E1F5curpPcElXl8QkB7sLC4+HmM qP6OlFy5hMCVFS2fJch8qIaNr1W7gnN311uGKpP9WjWAkJsOxrlXCeJvisn9 rep1iZXxM4K5jbyKdj4lbd2h9mgvgk/WSQseECWt+DTRcA9CdvEyxD0i+7vK tOCVEh6EVl4c6qfEkZb62+/qi/DlL2oSXWR9URFcWLnhOSK2iF08szBPem2j WDUFEftTjR8qk/V7//dSP2ZvRARyfA7zSCbdwDd7MAkRiylVjO/J/rdfzn5J og2Rf1RrpfXJ/av0Z9Ze1ARRci/yXHaT41d6z7OYmosoq0vP1nFdJz34qUJN HlHh/tfji/1JF1SK+5Yiqp8v5NeqBtLa9lt0gItuMemZsWT/2XfWetJ1GdF3 CqVo/l8wopBawl6ugVh/3qcPTAdJ++lKTtcjNl9Eb0CMzL+C0en6iC7EDobt D9PxI83uWq5sg7jdu6q8h8j5kz+X5DghgLhZw57c12Q/ltM8Yfr4D+LPHZ3h 30zW672Oz5+dVUOSp9S39qIk0nucGjVfICmmTjLaiNzPe/7skxE0RFKRt+Hh ZbLe70m+L+v5EklTp9OlvW9hRLpmJlSvF8nmT9l108h8Sw0XJyXJIOWwiaOL HLmfdzmr9n22RZqjUfWhbTmkBQw8eASRdkG5N45Gnud2DnpnTbkg7ablt5aD 5Hh3Kj4uzk1E2rRMeaOhJkZ2/Jret30Z6T5OWhQqN0a2Ge67nryAjDhmzdAk Mn9bNzx6beyMKzNB6uEhZH/Zcvu4h5s2rvJEurMcO0Ra6fL6bcO4ur/700vP 4xjZbJYvujYYV+PX2a/rIfvbpmCrQ2dPI0smN59zjDyfrg8bbRpag2sxS+XO QSoY4VSulVc9iuyTfCJM5noY4bgk/iGOH9m5lYHCkWQ/Zh9RsFi7Atmj+ZlT T8n1XO3wMdRVAjlq8dyHBddihNX+2RquFcjl1OL3Pk/mj+G5uGJGMHI/U+bf Znpj+Etc+kvdNuSPexpvL+zA8HzgtUPZqshfunFJtmcWw58dFw+2L6OAn6Gl QS8Nw7NSwZftclFg5cAvPfYDw9MpXlkuKih4kbTi3PZQDE9eScywnkHhtyfj zYH3MNwl07rrz1/c0i7StvjLj+GOssWgExTccud4P2O5CsPtIi5Lb5RwK+Hm 4maFnximLFNXjdTg1rj3p3rGQAw3nmswOC2EYi+XA4w+zBguC7w9ukcGtwsZ +xwOrsfwZT7dUo+NKFOorA58lIrhmPEK9ZxfKHPIM36bFYbh6HQ1v8JilF3u qikraMJw5M/C+RhFlL2++yH22hiGAz2P5DiLojyNf5WKEAOGneZm/1FaUbH8 l6N1SQPD8t1Cns2TqFyOHDNO+IBhmSwhcbXHqFr/2KOh/BuGpR2Z1NlLUSWt LZj4uAvDO58I/un/hyp7j5RHowsYFjCV1Jv0RlXbKzWdxF8YWvb1UFHYiOpE u6/LbnkY+lW0wDjwDNW3lV+Xx27F0OLQ57bf21DdJiU/sPcLhj6zPu42WUL1 D4sTLPlWGJqc7xlYJ48a++bzh6anMNSUV3eTrQS1isV3PEo+YqhB5InpNAtq Td7yl6xWx1BN5quWpAnUesm/i5noxlCJjba5jC5qb/LcHX8ii6FMk5jjnY64 y3NPZnHNMIa8hphGp9Nw97tXtm8QJ4Z4vJbejimjnqpuxE8pwxDHXcUXa06i fmp+kzixjCHmDxkS5xbRwFCyOSzrGAaXNu83ejyKBjVVX36ZBQw+LWKYrXiB htbBI8KLdzGYI3toSocL9yh8jdOPqBjMNLBmX4zDvSmJz8NkHxxMNHtuktmN RgaNRjnJexgM2zWw6+89NKp5M/eJOWPQ5tUvkaNv0Ugpu2Z+3RqDGy6lVI1P 4j5l5Vc+CVUMctlX99C4cP8FrUUpOh+DzNvYB6sccP+fP6Vs4TIG3ow76RJe aCIq7g6kNWLgCuPvTXfi0NRkt/jMwx4PF91cLfry0Fzz7I+41ko8fBlgO3Q3 Hs3Dx7yigiPwsM9qNDxIAc3zzTpK1j/xMC//4MrjKWiR2jGzKaceD3VlRy8c sEVLoT/fg15B9Kd6GomphqL1MmOZxAIj+kNOTty1CEZr0RHqhuFQ9Lsc1P/N z4pWSkij3XoK+pVTHUQ8mtH63ayS+fkV9L0I+XNuIgUUyb8/TXLOoK/b/mSw SwIoSoFNR1luoq9K8J3fpRhQtJ93rFX3QF+kQgVr1W1QbK2H9J+9R59I99cq AT5QEsQZ96mJo2/1VfZ0AT9Qrj7dMpZXgwdfD/SfXpsDyk2f8ZQQWzygaqin jZP/33TQat+DYTywqV77WGQclOlrTNMvw9Cb1Lxl985IUPefzCbG29F75kql ocgXULVlri+5pKLX2qLEU/4gqAZjB99U5aBXLOKgltMDUB3ussWaNaOnKb6j dHkZ1KgOvmztRvTkJW41DeYHNcHTNuT2V/RcPLNkJ9AOasa8/KXqregx/D3V b8kJ6q0LG7je9KD75bu6JxocoHZO1A9fBbo7d6onrU0F9eHhsyWGG9BdcuTp yuROUEevMMS4jKHbz0PI4hADqK9rhLR1h9BtbtGmxLYT1I/n+WfLrqFbec/x 3iIjUL/sytb5cQndjLcygvb3gfr359bzrZnoentAyu2dJWhMwrGPJELQ1f2o 8xqDDWirBY9TjnxHV2ITr42GAWh8WXq5LKzo2tzz3TqFtPjF3TIjiuj8G8w/ ta8HNOmGdWHddeic3CpbqHAINLm793+8P4HOHHn+O8HDoBE8jipi7OgMKzXd mt8BmobfzFYfbnTa89r+fmsHms4NfTdFGjqFqAOHLHVBMzAeer5WFJ2MrKU/ zKZAM3561dTFCx0vNQ94yFFAM5MOn9wfhw7qabvLDn2gWR4+vp/lBDrysmvY xWtBOya/6RR3IzoiKIwGUk2g2byLeXoxDR0OE6vt8h+AZu+QJsAVgA712YSJ iOOgHS8SknpFfi/82/BxdBpoTrUb3TzWoGMFE9fEdvJ+J+Lcwyyl0P5qVXyz SQlorpKs4fuL0U5jS8g9zAqaW/rr57l70Z7POjKi3w6ae/cPj+xStEcyCbbv SgXNo0PVYT4Z7Q7/5D7+YgftZGytddgGtKv/HK274weaJ7/tMW8WtAt/bw+s DiXtq0a7zYl2xvk28wu9pFOcLCdpaHs5lybpcYB08KgOhzPaqHNLF7bfJL2n YG3AHNryvlYF12WS9y+fypFqQ1vEr7AGdXHy+d8LJX8/RNtxVtGDy3OkmVkN ZsrRpsF/LJusvzS3FztmVBbRJrL3ve9fcvyu50Xlp9LQtsL4wt3TUeTv/yJY eiYItFdn58NOkNc779JkfzgOGq343c/jZF4cJeqPzCeClv9K9HDDXnJ+l27X F4mBdn67XXrMGdBsk3SzUhXJ606ZdnH9JNfna/+lkUXQtskcKH7iA5o5v4VJ 5Q8yh4WVvwY6QTN5/qhb1h7Ut9tKLEU9QDP0Enb/ywhqkRFv5+5I0A58U7h8 VhXUi3/e3r9P5k9zOj72qCaoLo0sJ2ZlQUPJYHZ7MKi7XN4ov0wBTSHTwmlk Hairj35Lp7SAtpemtivbAJQZ28XZjj+gSd6349kfC0p5oRu7niFoIvxFA5+W ybryblPUtnnQNofF9Ap0geKjqq0nYATa+rsbNre0gCK7239hjzq5X5Iou08/ BYW3p9Tf/R75OxRvh81Eo/XTz+CW9zPkfrszvve1CVr9j0av/joF6jzfvfCe v2iJis749jIZ1OG2GZGTbWjR81pieSkD6oPtiwXkObll7eWyL1a3QG2z9an7 9ATN2V5DiaXOoNaYXnx24RGaGt/vLrUj38KSj7uvtFqPpsisszkx1aBeiuJ0 8+xFk24c73lJN1DDIubv2bPj/lMxhws/YkH15Agom81D4z8HjkBFf1B1/NrG o+fQ2MPTcdVIGlSV09ek3txAYypbjKNxDqgy5n3EV7JviVFKOiP2g7qlzuLS cTfcM/W8GChsB8rXpYXjmbdQf19Gpd6lHJQrTDmM7jTUx5jJ6qd9AuWylEKR dxDqLWidM1sLQAlXaa0IEUTdQujP7l1kfXZd1/+FMEGdXOS8FpsHKAq3X38o cEYt5c2brJxXaM1ZqB7RuI/a1D7+mWhTtEYVPv74zRW1Lgw3k9VK0eohc4+p pQ+1XMZjPEHMaJWfq3c2jCHPEWlWZRIDaOldebbhQgCqeeKKjaws0Tx7VvjS uo2oml0805w+huYRt7rR1rOo6i5w4wgfRPM9vVgh9Q+oCm3boBtKoPnCK0oN NQaVc7w1HElFaBbwezoYugl3qoqU3LhPoUmnoszBgAWl9z7+C8iuQePVhyf9 B6dQGurC8S+OnMcwhuUA65co1TRvucFCQaOTQlKa+U+UPEw4yroYjsbdZaE5 kwW4/VFPqlpUE/faBhJOhzOhWMFmQYdRHw2f9ddK3KLhpsBzxkVdL9Qfjiy3 H5VB4YeL0Z7lfKjfm3dIlicDhfU3uG4tHEU938BDjvNsKDTjDAtw6EDdpE2h 6u8eFKS9Khm5/At1PpoXtqg8RL5Y5iQv7zLuZrp58mnyIWdHXIW331nUfD+0 w4F7CNlPena6GXSgZqJ9MYWLC9nxpbXFZouooZq13NHqw40fVocbTNaiJqEu gG1JBteHFezHLMJRI36G26zTDVmFzY/+8DCh2vkHx78hH2TU+umOTRxG5ayw amFrCTJCGlok5rah8vGADu+zdmQc8LwuYbcJlbQkNgsBIaQ/E/S5XXQKlVcO VRuZqiB9dfwMn/hJVGrdEOap8EJq0PyyV9of3FGPYJ76Wo2km9wun56Noay/ +EU7IwuSgjoUdKoEUHYrj8PybBiSjEa4V0t5oyyi2aHfdx6Jvz8bKl0WJ8/X xy3LTm9HQsPtuZSaYZTmWe/d5sKPy8aD5z5RvqAklPnCfFoxon931i53xqPY eOrtsAE/opsqXTUVOFC854tDYbceokN3YNWHPSjmFj3U1JeB6BXVUwoBJrj1 cEaR88thXFyn+KLZYwK3DFb7yKa644KuTPfsD38UmYRkz5HvsREbt+4tWeBF 4am50dmD+gif/rRH1m8chRb8PI7S3xHeKPFaMbsdhcqOHj+OtSDc5q9q1cE8 FDJaEo8spBBmVhDJdMofBUnU9UPVqxBcJcbDs0IQ+XcvBLXIEAhY1nzWuG8R eet9b9a/bUZATdDE9doM5P52+Zu4TgUBbhcOn0ptRe5UJEezzUecGWdVvPY6 DLmlQr9mf3DhdEvWGmqkFXI1WCu279iEU5UOL3folyH7U/dQTcwG+GyySqg1 TsG1L7ZW08uB8O6buzqe3Yxrbc+6V49bw/uEnc/sUhyuZVx3kfQXgdf1ifqf JXtwTWXScuJkJzw3vLy4fPYNsi6f6GC87gB3zSQhy40huKponuzFYQhnm2iZ rhlRZNxfrdtq2wpngfqA3BENZGTSlBJk+OA0Ufw8lEkfGf5lhqkxRXCy6uLp S51BhvR6YTGeX3B0bNSo4vFEepHyzVVPX8MhY+im7nryffjGVT3Fkr+w/hhj ymK6FSl39k88y94J6yRuB+ld6khJHn657TIF1gq3tfhN+JDinx54e+AWjkUz Bf/iT0SK8vXEzQ+TYSXHORP/hobk7rIE+2hOWDTNRr5514KkT0U7J85QcSRA f4+DWSISbkqO1r4XwRG5jJ1+k1JI8HG4uk/jKky+tpY3s7YiYf9sYbe8PUx8 i5SjybzEP2K7dlKFGcaBpzfsWPZG/CpNw8j5TzC0yfcvGxVGXLix05Hrx3AI EfLNuZtxqTT2p6MmDQendVe+PySAS+FNLN61wMGU/ffOuLjhkrm8I+etURz4 EJv8ObAQlxj/6WYwnYDOTc947wFhRFu/LrWn3YaWoXg54/41uCiYuH4wWR5q RyiZ/Mx7cX40/vNOB2eobe1ltVjmw/m76smDVd3Ao9/6Y0YFOJ++87WChiLA WifBpPMd582SjypqiUM12EMy5/QjRI5TN572SIFyjivDRtZBREwftYiw+gb5 6vJnlA21CBc/qcfHzgD5k2sVU9L9Ec7NfMQhQAHyOyxntoiOImwmeUExKhNy N2IZyvrvIux8tpIaywvIZmw3iPsahND6HKYG4QrsLf/ss5ndDyG7h2Q7bo1B sr8v72zLCwSZX6mhuPZD0rfyU1WEHIIkzT0uhMhDcn3jxcur8xC0wsK97eNK SDhJ78u+zYHAO8I3eslzsziHCrOk8C0Esj+I8bC1hVj8l372AU0EDG3+KSMo DVEN/excbhacjlnzuozpIESZcgMlry3i9Ikz76gFWhDpuqc5/mQbTmvxyRsl V0PESHqm80wz/P8tHrUqSoKw29zfx/eS4B+kfnQFfkAwxLvSv14Yp85WNhTl dYO/+eNDh4Zp+GbR3HOHD4LfKcC0KXU3fIO5BZkvlYKfQ3mzKPNh+Nqkiqv3 pmGjnXHTJvfL8BVWHPt26ig28FgE1+aWw6fkS5G55nfw3jkWIBw6Ae/Emknm X/ngzu6tezVciZO6x63VZ2+C2+lfxaa/IzjJz6LA4KANbom/NlbPeODx/t9f y6RfWHM2SVC8eAoeF7+tDDjnBM4Hed/Zc5Lh3t35MU0xEqtr/9mU+/+A27Hb MvsV1oDZ/51pLb8uTjTmnluTzwNmaTmuVZxmOJGeGZdW7Q+mj47LvN7MOOHT O7k+zA9MjnYbtKpMcELsTZtMhCxW2vmrCf/TgfOVpyxl1pvAGNLVszXhGJyi wqR4O3yIPxdM7O7OyeJ49N7njQFZxB+xkvFrR3pw3PXfMQfXWeJ33x65+t5t OK67zCTlTXpj9fFYhRIcXxN/xen5DPGzVXL42UkaHLJmpZMr7IgfxCtHuaxR 2De6j/ZfjSK+fu1j2XVeHLZyzdoxlDLia+Wme+xHLGDzz9lGaXMX8dXLlGcu 9i1sej2uFvluIr7MBk53dJyDjUPix+haf2J+UTlZ6mQqrNN2cPO/2UjM2cwx sOZH4Rjb3x23OI4Q02YyVjcODsJSTnbuBlmw3/+LbX/P6wVLNn9NtZcXifel 3PlcT4Nh8YKBO7GPm3jPnLa3a94EFrFLjD0Z14i33avl2o14Yf7O6sPNngri ddgxk5XuK2FWEsLtYPyNeEHMbLIWWMARp5f+bgO5xOTwByuffGEc0YSk3x9F YtLV+q3n+E4cEX4sN5wZTTzPTOw8PFQBkxe1BRIi7cQzlmvPtoQEwMR2E6++ 7TjxRFQlkZUYh7GzsnPpqlbikZKce5sZBwzlMiRn/sYSI9/0Lv1r84HBcoBH ecE8MVJhqp+RsAEG3XWRb78JEyNiUrSSIQ4Y2OpVqXQ/IoZFbw3+SJjA4XjK pf0HsohB7fXXZoN9ofdXL4CznIvolboZenLzBRzaNPaBs+0q0fNkj87hzU9w 8KtC+akdmURP1IOoNG4NHOwZ372rYIzofrX93uOkPBwMnLz/+mcU0XWLPZY7 UwoHns0l2+70IzpsRzrSLX9Ap6I1iSGzl6D6cQy/HboArdBz+3UNZAiqUtvH 1/KC0LIx+p6w35igrthzpX1IEloq1pb+OtkEJV0449SvbGj+XtfhZsZMtF48 UNSSyAzNoO+P9d8dJJrOXZe3Nk+HxgWtOrkP6kS9mmvwTfNdUGt8u9eM04So +yzwZ3QyH2o34t5efvCaqMueaS7lkoRa+Ak+W49ioo5xMPq6lxLUdGrCCI6H RO0j7bG6WUmglHwv232fqC5uQcA2Nqj+PO6kUWBMlH9NrJxheg3lJ1/L1+YF EuUxTzwNtuVAueTxe+LBNqJcJPngbYNWKAevadtq/5wos1T09HzLCmXB01v2 HFgkSkZGy2ZVIqHkztISoMpCFK8y2Wy+Ugj7OB8sl+70IgoO7fT/tnII8pfV 9RoZQomC1ZKBTef8Ie/6va1meYzIf7C8x/SyKOS1X3HVqFGJfBMGlUvqxpBn cC0I8Zwh8lwUPWeiz0LurECKwKpvRI5rQZRvsC1kfbupI8NPiaupgY/UuBaw N25K1LXjDHEVX++xb7TCXm/hirmYeuLKbLDLqb3i2GuSYlTZb0pc0atVZ5xZ wl7+f/kvJ4KITF4L5XYVfuwpXbFXclyeSBu5QhRoPIB0SR+zibkakbQQsYnt cRckU/20jNR8iaRWWTNN3nZIOsdvX8j9RyTFpPpllfJCUvFLs0U3H5EkZHor bKYEEs8z5C5b/yMSSnH5wrIPJCQRnhP2hYi7v+uhG2Ubdo3deaitdJ24WLbv lVjYL4jZcLZIRfMQFx1zbHvtxyCmGN307o0ycVFg7ojB+HqIrVP9F8jSR0Ql KrMPcJ3Bjm6b/uv+msSFcKU0sxeh2KFov+Xp4/1EZExwf4rsFWwX2rI8lRdM hBq2Ho1bBkQ3ce9IuFpKhLwLayt02wiRpZ4AV5tFIiS0PKeeKQ8ij5sofBNM RHCN6ozL0a0QyTC8eQfNxDnJEkXW0EMQWS/w0j0ihjhrXb0zfvkLhAV/HnTh UiFOpaWvY2Ypw9baqMala+7EKaMrxEueVGwNW2X/+J0icYozOmTXfntsPTQt v2rAmPCL3eLuLOKILVNNU9JixoRv/CBvYsdvbFlX3FG6uovwDgxgv6T7DgLR K079VEki3PR+yeanDWBjeeX19KnzhOvPX1oXOgqxMSopOUdygXC9zSQyaSiD jTZV7YJLgoTrarFnQe9qsZGrTmna2ZM4MX6kQmaxCRtO3V+q+X6BcMqL5BVj PoX1hxw8ZCZmCfsRq7z2TibwCrmHzx8JIOyvDx4e5noFnn9V/CuEBgj7E4vt z9T1wPNC8h3b3QeE3a+sww2VWeDJpnWEMPwmbB07cn9UfQGPkK3OpmB/4pgv 9bdgfy7WSbH7dDz4SZg7vNpwPTcQ3O7rIhVuZBDm3N8eNrW1gltfN9wzUYcw o4qL5S0OgXt3Q7S80lHCbNt3bbXJLKyZdjdg8z5JHPmZsL6wgoY1K/W1jLWf E8YjUWGv7CrAqb8r3+zvG0LfeVfXx0RprN7unnnz7BVCbzmkPkN8AWwLvzyt 0ymE3lWttwunY8DWOWXawahJ6I5s3GjuHgQ2t9IPIlF1xCELzRt73+hiVc1e y/d3thE6N87y+Ry2BKuZn0PTlBaho1dtUfTgB1glNofsM1YitH/z6tT/7gYr I4+rbW0qoW1DXFyXsAUs5W8jFCraCa3d93WYg2TAws7e1BV1jdB8SyVGvEbA /JrTQG++nNC8MbC+rM0GzPctvCcKthCa3N8uRZtRwHyyzcz1Ujih0bdiLO58 GJi13/C+WSVCaFxi91CTvAdmQb1jdqueERrabFQDfRqYlpaKX2ekEhorftnz L5SCaXgm1PG97H/HNFm9 "]]}, { Hue[0.9060679774997897, 0.6, 0.6], Hue[0.37820393249936934`, 0.6, 0.6], AbsoluteThickness[2], Line[CompressedData[" 1:eJwd1wc0Vm8YAPAiIxpGRlGyQrYQDW9mIcrMipBSyN7KTnZlr2Rnk73u45P5 fcaXSFZSVouiQsL/+p/jHOd3Lve+93me93neq+toxW2za9cuCvxnauc39Ph3 xWUKPVZ4vhx86SYT9f/OeqeukNuxF5PrMvjfeVMNCoVuysGqfqn/uyTmvEJ5 06vg596E/137o1Ohqmuhu0qL6X93dB1UqNeKDqym0f3fEyK+Ci3jIyZyYp/+ 96bIC4U2lVpZ16HAHceLJZoqdJqUmTulhf/vAH1mBdKbu6dm+53/99bGHYXX OgFPpSvZd5xQpR6gMKyQbVncFb3jxLYMfYWxg7kR5Rc6d5wcetFA4YNSNV1/ T+6O05T3zyvMaERbmdrM7zjTUZNe4bPcvvIpbcEd503fMFNYujbXUhLXuOPC TedShZ9GbKSDpGc7Lqem41NYkfw2VMj+Ycc1EoabCr8VdKterefvuLnFe11h NahsqKopeceE0CBahbW3Q4Jjm+Qdd473cSn8VZAquNjCu+M3nmdNFTY1KXX7 SHw7HmGWO6Gwxbmbhm/+zI7HPjnQK2wtv+7UN/n/fT+JeL5Du4zVP2qI/h+v P1irMqJA9VQKv9x2vLFqyYkoGgREt1wzcXfv9rCZQ5Qy2C02vXs73m+YdRrt kWuIPyq6a8dCh6LHELWtrmzwwLUdi6yeL0HUL22cjz/ZvWOJlW43RL3pEKWn KrVj+fO8uYgm8c6h779f71iT76MAoh2yjWNqPL9jtzV7XUQf/DDladvijn1q zz5H9BNl8l6xdDsOSPErQ/tk/7QUXonbcdSQ8BG0b3Gdi613ascFsv796ICD SJqiw90dzxT8kUUMg9MMRmkiO174xv8HMSzupy/d/rHj7wqCvYhx783PFoFb O/6zzzQEMV5Iud0l74e7h9bQ3wcxVh7VcvAq3rF4L/11xJT6mpdsM77jyAq/ 6+hQHJVmtMH6jp9mNBxBh+pYIq3kxXeckqMXjQ6N2+yODsvaccHaeg5i4Xt1 eShx53k9HSM1CYilMbzU+k0tbiJ19XVmxLqcncxzs2zHmS162uhw8rVPbX8U dlzknhmGDnfI0A0SV3dco5d1DR1evjFEjOXcMSloTBAd0cr3Llzd2X/E9RbW 34iDZt3gA8tO/ZLMj3WGIc6oM5uG2sG4ezV+t5sirpGrN5zoXXZscm/aHh2n qggy+2W+47tH2hjRca5PNkJhkzuO2H/XEh3X71kJUT61415nVgN0vDXr6xu5 Udx9pgPyWoj7eXNMBcN+3P1FOvUXEW9I+QuHvrUdE+KcsxBvbsr8tcWBHY9y e3Yg3vZ6/YYGFdwDe08YTiM+qjiGrPTZHdsvRb9EfOE9wRMTZrjJKvbWgPjT w2YcV3fqe/CstNMTJPB92Fcs7/mOLY+W9SNBdsVO8xs2Ow6Lfm2EBJXWVa8S OXb8lk69GQmmaP7y+qiD+413kXgPElKPmS0uYsA9NKmtIotONuzJ5NeUxv3u xC5+GyQ6Ut5FvnZyxzdWBe4isX1JYdKEmB2nwx+ExBQn9zPmOuAeZR0si0Ri pSFUH81/4x5jufqqDYmH6x83MsZwTyi43zZFEoVEBYepdNzTJlTJJCSV1mPi ybOzv6er6Y9zIqlmYd1HszS4Px7U3H8YSU10ZNHN7uTrY0+k9jg6dSy3p7N9 Jx8zWuFKn9CpPPaThq+9cc8nRQcxIekWkVujCQW4l669Jcmj05x/j/9Y8t/x xwZPP3RaVUoAHP7i/uEYKJKKTjtU8IrWmuL+GTOGzNFp8H8/anwc98qsC60x krvlu3DZzwP32lqAWzGSbzPYZbc+CD0Be76/zk9A52rE73qYBOCmqomx0EHn PhHaXB1ccVP7D1+eROeZMtOCHrLhpuXkWb6BzjujRp3Jp7jp3YofNyMFKS45 Qyd8/wcwlV4IOIlQG1Hu83c83gG8gfJ0skjxSUPF/mN4vgP4Su7fjEKKZfKM eUt4PgP4x2On+pAicS5LR9Mat6Dq1c95SGlPn/tgZSxu0Usv6NqQks/gGTdW PL4BckdMv0QjZceNfyImPLh1rg5xJCHVQNr+vOnbuPVO3zoxhVTzJ0d/fMD7 dYABX1ndCFLt/W3GGheG25i5LUoYqR3+ntjThc+rAEu1LNc4pFZ3sH9u387z XFnaUo+ii1uhp01s8PkWkMH9tOEo0ugoN8rtd8T9nHmGKRpp/Gp3NHSkwp3D kMFERJp8Iny3rp7AXSg0ameCNIN/Fz0XJOGumcr8RoUuXwzkS3j1FfdrX/Uc daT1/t+K9QgL9AQyvZju8kRXC7+6Nai042b9SuBUQFc7LlDVfMP3TyDHuUJ+ MXT1A0GJIBmPm2/v5exBpMOu8dFf8j1uWb1DzPFIJzyoafwFvl8Drw9dEjNE um6ddnOVErgb9y86sSF9p7Z1VuVh3K2emxRzSP+p4q/2vlLcnatCp/yQftVq lPSXNNxDMj930SH9NZrvVl93nrfUcqCKCxkEdYknbCVCT5DwqcNvzJBhzkGB b0zLuGt3+Y0KI2PG62YJnyVxt3rm1oYi4/NDb4yOfcdNOnRc+CMyvpsaPbXB j/sDCJwMR8YdTAszeXg/Cd7/zWV7FZnc7zx+YA7vR8FOPHoZMsh0qyJPmmQI PSFG11V+X0EWSvFnYhXweRliW9D18SWy8P58adoan18h3iIGEiPIojKT7R5t Du7UOaLuCLrByNaacE4P97ScRW00uhH8tyt9Fq/fUB+mY/lsyNJV/0/teg/0 PPxkx2Xrgqx9Ws+cm7fF/e+yVgodsk73m6dfxvtDGEuIsa4VssZcZuqmuXFf 2mzPn0I3Kfdd+PtBFnf16aWFB+hmzFaq4zB+/VH6/Gvdf8jmpbS4cige/wgC R0OAFrIVjCo8cwCfvxHznmvPbZGtrqhQbTl+Pog8YNy7uoBs/ZgVdbmNcF+v cWGxRrbkyjHFeXroiaLcVRXzAt25r6Lm7q4JPdF30v0ZndDdGQ5yUcFh6Hlc u6fzVThy+Bo/vX3SCvd3ts37V9A9DnVBiypF6HnCN6k7cwnd01RdymPC+9mT xDDVBVp0r+SI6wlffL4+DUrWWDBGjs7yrnaFeP3F+3fmvDNFTiFk86ljeP2n HC/1f6SGXM4M/Py1ey9ul9lRsUrkci2KR18XPx+ldJ5IlN2NXNxcru/GbkFP qmP/1fpA5FLWki87Vw89aeRDCapFyJVf32V3NO5nXVGjJvrI7UhhjiHNGPTk lfzJOaaCPASOzJkl4/MrX7Ll7YYS8ris065ch5//8uuvSitEIA/nVv7+Jbx/ FRAXs3cXIY8WFf40Kvzvi6hbqf5cQ56G37tjeVihp+z9zRtnHJBX/BelVuZ/ 0FMeNFlsOoe8WkrsH1mdg54KoagjQprIa+6Ft3/iO+ipvJ/XI5SLvOW1y1dz 8PNPtWKmFNsZ5D1taH/mJ94fGlH0eedh5HvOxtnJpxJ6muj+fosLQr62ZMfb jE24R4/RGDMg3wQPj4xAGehpuV/w68415LvkWuFXgs+L1oXu9LBq5Jcv9XpT D5/33VdCJb68Qg+ONZMTa2ugZzT/b1YTBwrIyB6cH3GCnrGuF/ol8iigBgzI UpvQM/51ZL2JBQX0rTTHNeHz/73C7ERUOQrYynnhEIXP308M75trYlGgJUfH NA9+nv3uUFJhnoGCTqoxiIjj56VFkuvc7FEUpNw7k3UY75c/RO1caKRQ0HXb PLIlnr/lrSMpDtwo6PHkUsUPC+hZe9NtLINQ0Fq9zBFtbSBSmYq/k8pHwaSF of7dTkCk2V17+FIrCp5LP7j89SEQaUulKxpLUchui9PJ6DwQ9zFfvf0rBoWc Zq5J7FcAIvPRB4I5WSgkR6jiH1MxEHlk5tzfOKHQ+9mCKsQqIPJJ2WXszkeh Kcce5HOnAvGENNFV0hSFVufs37x+DYgnNa/iPQiFfm3zNmzWAqIU4cTVC3/Q QxN1/lzpCCCqTNqnF62isNPvQ83NbYF4UaqMe3UFhentcTOQegxE9Zj7Ihe+ oLB7AhEaj2mBqG2yq+xHDgrLtdrFoTIJRCMljaZjB9EjhscbVL0LQHSw8Qfu WvRonoGJw4oTiE4nR1T72FD47ucOCQJrQHRZrXG3HEThnFwqggdVgOj1QtXw 8wwKvzrD5O54Foght5yAbIDCG+7OUH+VAGLGzXkz9XwUEWrpSlvDBsTnRVzW 3b0o4pmW7PPRYCDmrE7cv7KBIuqYu7vSPgOxqJRvcjUQRSwIF6QvaQKxPiDX 7vcXFHnpOl9W4SwQm+mbDDStUKTFH1O2RXw9kPlm7KMYivQ0N/8QYgLEzk9q 9So3UGRevOHI6Y9AHH43+vzaBIrcvmPkOjQCxNHSnEFGIRTFouH+KXEUiJOR 82wHvVHUyW9dAeMyQJy1YXL6lYiiDByaVrIuAvF3ZFhFrBeKKhAxET66BcT1 0vxne8JQVOPH+oy+GSBujpb+KTJBUf2au2bS+oBEfaXIgayAon4J8RnHTwGJ rRoY6q6j6LMfNmhY7gGJ81EWe+AEitY23jSM8AQSt212Q1wYir5hRWRmEAKS sJZC466TKDqYXSC+ZAtIEjq/xZjUUHQc9lok1g9IMtaU5grxKDrns0d3awqQ UJHJ3HYqim7DPF7SyAFJ5UPLKfsnKPq1VVJYdS+QNHgLOQtpUfTUA0W7uiEg 6Q9oTOVuoui/BzXrLHqAZCLHylkpjmKoH3B9/TkNJIvShBpyFIphunaz5zm+ /rvYiAEvA4oRPFtr7H0ASE4mRfXte1CMFJoRGScCyYPSQLjoGYo5+7z9dwsd kHzrJ/9deI9iVEwGnrzRBlKgr+bMVhGKuXzXKdeNBKQwjTxaNy8Uo9dLl/n+ IJCiTyx+19JDMSa+vwc6GoEUxyDmc6kMxdzwCLBRlgBSCvXtZRENFGNTtxhy sB5ImXufLZXh97t7zkdH6AyQ8g6/tTSxRzH3dulTTBoBqfg0Q6jdXhTjtJ21 rNIFpEpL7dkcUxTjKhtQduo3kOqSn+odc0IxblmUBwsXgdQyMfaRYz+KcT8r daXtEJDaxQRm2yJw7z7AJYG/PzHK8+vXnf9fjIKr1UAir3bXjyyjGOftNM5O PB4jTmxKy4EoxlGC82srJ5Amf1uUPWRFMXa+3zom3gFpJixD3Z2EYm69n1Cv SQTS1xPEh8v4/S31q88d3gOkn4MfNiSY8PcflS5ax9ezFjl67fA4Hh9bFiYW KyBt6xTfpPVHMRqbewKvFUAvNZ/Wttc1FKMYV9ixuxN691PWsbZRoZjTAjmx SfnQy7w0nj0cjWKEqx/lJbFA75GF8pw1DMVwySzQbW1AL/fiiaPhVSiGsUBd qmAMeoV2STJ2cqMYyj0i4i5u0HtavUv/TiiK/nhP/9IxfehVCJT03WJA0WQX jweu/6BXtf17t8EUim65Mix2qg169Z0PlO11wuszuElh8wP0mo6qu9BUoGg/ 8nd9E0botdYKesGGoeibM5VEGT3odTF+fJacg6IltejWOUeg1/unZOLllyia JZlr3q8MegPj7fSXf6GotcRusdhh6H28Kd07Vojvt7TsqZYz0FuhXy0U9g1F iZ27feE9fr+6lsdNH11QFN15XrkkVugF8Zyswwkocubvr+khT+jtF1s8nyOK IhMzNuhZD0Dvt0Q7bjotFPGFSW+9ahl6f6kaJNhaoYimqPDHj95B78Y/i6ff bqOIyNx9kn6j0EcfdGqfTi6KEEhjX66jhb6TC0qJZbMoXPtMYBylLvRJvUlT F7yBwg9JXJ6LTIe+Mx0N3jri6NG7nDdyF/ShT6MlpLniOXpk9stzMyQG+u7+ 7lfyUkZhugM9SkrD0FdirHHiqj0K+cGRrK3rBX3VyZT2WqwoJJ2ngPKdD/Q1 j26s5jWiEDU7A8X2D9DXdyu7eXgSBSdUeRAHKaBvMU1HyFUdBR3DWDUD3kLf n2+JXveEUGCzs6Rw6C/o21ZYzLV4hQKNNEo33nZC/8HZUmaaVBQQYb0iHPYa +iWltgLMetD98orwjql26JcPeWB57Bry6+3zMdnig37FoSxtVwLynaM+62Ns Dv26jqHKXtLIZ191DmdBN/S7PgxSUGdHHicd3K39NqG/+pvwZzVBZKf6ffg1 TTT0t5QwHJLnQbZ9CSzzp/2gv9O69bEZhm5p3tTq/jUM/SP1KQKim8hSyFB6 W+o59K9/cT2xMYbUax84+LrWwQCFKX3vQgk6LzLRZsstAgN04Nd6/Dg64iTq sGvNFQY4LCfsvhJAuVnSe4hGEwbObh1mlvOAG4ss6n6SRBhQ3t7lNboLbtIY nCP++goDmkuJrq9ew+2TfQ/8pfHrphklub53wOGxo4zqLW8Y8DnmfT6cC9zt NI0rt/fBQGD0a+rZ/eB5fHJQ8m0EDDxaCDNZZQev8RjfZVIFDCRdn2od5wW/ G2pd9XLXYaBK7kPxwjwEvvE4GC69FwYaVsiJga8gqC3PTInVAwZaE+o3KuIg uNrsS+k0Gwz0RZ0/GyYLoZkWuwqxWRiYk04OCxSG8Dh/5zvAAwPf2AYPsLyA iMS2/WdRAAz8nEwO4LgBkekP9u/J2YaBzQPJKvQeEF1uZFMuEQtk2o0gx2yA x+v8xuX/poFM75gj9sMInoQ8bLdYigfy/sHRrwIq8JTx8D3Jo1pAZrJxu36e D+JESUkv4BCQD8Vr87Q9g7iWeT+xzYNAZq08SZ+VBPFXRO+8fEAA8pGqEb7f +pDgLn4/Mp0eyJwpx93d5CBx73zUAWkrIB+zM5M4WQaJmQQ3ukusQOYefubN fRCS+l+vtq5KA5nXgSvXVhySbffsZpe/BmS+H498rFkghUIb1AXrgCzQSKdC mQ+pZ/hiK48FAllwfcrgagKkDnWt6wwPA/kkv2nPhU5Ic3JSsZ49CWThc0qv X2xD+v4jX8nnjIEsomC0R3YQ0os6zBYruoEsKmxxnWkRMtTtV1ONnIEsRnlU 0WcXZHw+eEDtGB3uDsOgywbwLPzFHOMjIyCLO5PN470hU/h07WSpOJAlaK8+ pGKDzL76YiuNVtyPMjjuXYLncvFOWQHeuJf96k4Ww/OItuqnum5AllStvRPy BJ5P2uRY6mfiDmJsYXaELAnf+iBNWdwFhg1M7JAVQnlnb6c/7hqtT6WfIGtk g7du/gbu4laVK2cgW8RSh5LvDu4IT5vxKcgOlNbjPbAHt855o5VLkP3W5SHH wQj8+dsTtfxekCNyBHUI4/mXSDz+nK8ecoKEBiZesuBmHupYjoKcd5kBtEsM +Pt5ddjQOkCuuHfcPBl/nlg7aPoFQ+7DWnX2wAI8XquxYzzrkPteb0R1cw03 IxV1yUXIk73qJJmwhceX4fv11k7IiylCLXeT8HysslMdUYS8eQu7P+OuQBZ6 pd+Slgb5F+6xHP9chOfP3XX2tgHkpwwZYDE6eH73q3n/Zof8lcdKGVT4UZH3 uxatuRYUvNhtRHFMDcg8MidEnu6DFxQvo5efMAL5uOUm681seHG9MpK+az9e b3d+95q+h8JDj+vzAK+3IyptjLv2QqGTPdEbKQGZnXKawe8YFPbG3BLn/A5k ZjFXYjg7FIWmtDVbvwQyQ0pSrHM6FH30P8PYTIvvh4V7grL0UIyyXhjfF8H3 j0TaR08jKP4bn3G56CYM/OlbtVS7AaUuv04dWnsHA0sjtx7UbUPp6yDy39eL MLCQT/FePAbKJM6pH73XBwOjT9rnaMahbPGE6cOztTBQnz4U++c7VMgQKaIt vsBAec9eruQkqLBJU297vQAD+fUpMuwUUJHgpU+TxwUDcdOUZfN9UPH7asU6 RxAM2Ol8m84rhMqaa/TvjZJgwFL7zZWzilD5UcBmuncTBq6xdH66pAIvD6wL PWHIgAGl3VbhFdfgpW36i8uH/WGA5XJqdpsxVHF0XNw2/gEDe5MO/HuTDVWX goBLGe//m0Wv306cgip3ucUHfIegf1Zst4KQNFT1R1IUJipCf2VWAu/pAqgO yH9iOSQM/bkyu9o/UUJ1Kd3NLkIX9Cc+sdq1xgTVo9c/S97C54NP7tp8aTHU SA7YSR16Af0XToeoqclAzXTTLMNLc+gjMFg1CYVB3bnqc5//WUNfhcy9R/EO UHc7TODW2Dj0ZfIxzhQWQ91T2d/yijLQ52ceUeAVCnXzgk6ZiQj6pDVzF1cF oD5W8nIyTz70cbfCH0lJqK/vabrCFA59B3c9EN0cgvqPMi5sFiToXfjwxDQ+ CxqkAxcEhH5Cb6qg6niGFDS87bt6kIEWekNXn/1c6YaGrffG3nm60OscJ8oj eAcaTzQwHjD4Br2XxMfmQ+Sg0b2zg0uXGUgr1Amr1ZTQxMi9bdISjZ+/7+R4 D1pD81nyi8NKZ4F0gtfmpWISNFuttQYVvAHSvrwvSs1m0BxO/KIXjH/fjdKc GGDPh+a3t1umkpmA6HjpMWb1HlrszPY585CBqG/oygUd0BJbepE0lQ1EeckL 1i3j0FKV4a6b1ANEiiufQ99eh5a/BnqGdhLQ81Tp/HqmM2BBW1lULsnQ494t tMGqDFguz8TtPfj3tTHXZ7lvW4C1j3dmt7yFHq6LUaK9twGoqIftrTWhuzCi UGPBECCAm4+dhwm6I1/e8Oc+CZDRs93e1w/dDpUPR/fGATRuWY90XIJuSfnj NtYpAL+o4lWXaaGrNphOW0UVWiXksGif/dCV5FvCbVoNredFxV7d1YUuL531 679SoFX90/2EOH/okk9978YhAq1WcVvs+Y3Q2Vhzfv/e29D6eF3KYLcFdKa+ jF+k+AWtaT+Frt2zhk6feBPStWBozS/4JMB1HDrP0L6cmWSB1qarug/0f0JH XZ/n5d0O0DodQv6cEgYdSTSsdB5noPXLXY9Gw0vQ4SGieWfOFlpX9uVmj7RB h/R5vvbT9kCgDG2T2PcUOphPPr8RKAsEerOrXM8DoH2ZxrLecAAITIvZ3RwX ob38qQP/azcgcKtuWn+qhfYYpXif0AtAEKRrKwwogHb72aYpkzYgiEV06S2q QvtJWiJTnBUQzjRL19DfhnbaiCf8g9eAcMHBR379C7yap2R/keENBNXR+lfK a/AqZ+JkVtQqEK58oqZLPwuvQnwFJSrXgKB/quBt4iN4ZcOirR6Mr8/oEmdZ aS+8Ui222CraCwSz43cnTRPh1QmF40fD/IBg0ZxWPJgJr6j7dbgk1YFgzdl0 Q/EXtM2b1Rz27gHCrQujZ5uLoK3ry/4KqhIg3BGi8ewUhbYXnpxUzmNAsBs2 VQ5uhrbwPc9LohSBcE/1W2tcNLTdiTNNyVoGgpPP2+0IfmjT4NvHPIvf38Xt 9D/WVGg7WeeUv+gJBDcpieT+JGij1754yHgfENyrZ1Kza4Hw9fNl1YBPQPD4 55PzzwMIveHnzt+YAILXXk7xhw+AUCo2SJcwiXvsd8Tzu0CIHutqeGQIBG8X mQF/LXwd0W/VsGTcAwfeb2zgcbpU88TkOu6fNSYMaUCQ2Mep9eox7rEbadSl QGB4B2tB6bjDNcqunYDWn+X6PZd18PtvVWie/watg4+j8xVtcZ8h91KEQGvV fU426wIgeJ5f5F/VhNZ494ozSqn4emkvT0vKQKu7z1rNNB4/t1Tpg+tJ0GoY nV02xoy//8p31Y1JaD1dZtxUzwsEZ5b2WEkuaGWf7BpNiQaC4y7aW5G6+D6R P9l2CK8H+6q9JVaSALVvX/9Rw+NxV5wjPacBwDthQHQyEgi33eLaidYA5zxt scN/gHAzuGc9jROwbb9pCzU8/pbX2S+XcgEWumYrjn/XEEwcnYIH3wCm7vSZ MSgRCIaF8iYiUYDtZxJTsTcDgm5Z8lF6ZWiJfwPdbmJA0DhaPEoKhBajPxbU /Lfw+nsk/rPPDlqOqtlql/nj9QkLHNTi0JzvKvGufBAIsskFtpZL0NR0dNG2 QA0IXBv5a+UO0BRAvDKcSALC4QlKh+pX0KRWkkIzbQoE5mj+6xky0PiGtZdS DY8vtXXmD6EVaFhMZ2D13wetn5dozvrpQ0Mtk7C7XAO0frTmtL5XDA33O8Ko C/E4jhXPchrUQcP++av23JzQSmx5ptSYAfWSokZFCYPQ+uIH8qR9DHUbtczM xbHQ+lzVsftJItR1+sc8neSB1iR32vwHplBnNnLtXAmex1Abn7+6tFAbVcxO x2sCrRYp5beyhaHWWONT/DAGrQZk+23nGag9IcEuI3oZWjVnS9m/nYKa1t6m IeFZPK+l3Xczl6B63XQp2AO/vr9tq/7WAlR3S/P/9cbrhuKfpUuCJVQnGeh0 BbAC/JD4mL6dC9WyrpvWXXwAr36bufusQpWX8MwEiRbA9ptZbG8OvNzb9iBE YhqwQp8DW857oXJSi1Wifxawx9jLu8QQqKzkS+VkPgGY5yiPnKsZVBo3TnR9 4gNMNc7GKL4HKsoewp0oArRMyQsys32Esr5LUcz3raFlH49L+GQolD2gja8i akHzT7mh6Uw3KBO3Zqz3vo3PG2nDcTMqKI2bq76nPgTNme/1XXM3oeQmj9tm Zxg0S7FRDx+phCJuIY8k+1Jo0h1XNfwhC4XDj2KGmcehSVqVUlwlGwojkqxW 0+WhiSWTXWNOH178IXSJRI5B4ztBufZDTVAwcpqeO98GGs0K5eke3YG8uu2W 6YFRaLh5ii/+mC3keVJziw0egAZVJgaVjSj8XFkhKddTDg38S0UHux9Abt3X jnsjUlA/X3TwgDQ35BDmGThWT0G9ncQ2qSoMslbYWg/V+UCdq6Dyu8dJkNU0 /zOhTxPq9DVOzkwdgazQyzoz/bpQJ+O+whfCAFmH+zyJEXpQu/o9/H4SLTxX j9s8JTEOtfftR8OYPSHjYViQtekrqInkpdWmsoBkcTUHn0wZqKpOakolzELS 3LpTVEcyVKUMsYdtEiAp0+XHEy0NqPLnF7QreQZJTC8jWfpfQpUG9cWFz9OQ SCHtZDIcCC8/EO8fwfdnPCXxUlCuPLxkCg0503gXHoeOjgnK50BF2JtT9Qqt 8FhP6N2DxnKocPx7vaTrJjzm3jd3MU8VKozOdPMXVEHs/X0lK8eGoUKI5nkq bRLE7DqnPPm8EsqT8hap2V5DpLzWQcYGUSgTcV0oiZ2Dh9ZJ32MNlqHY793x sz8q4CHb+B0tEQEovnpcZfpPGoT2sUwtEZagmDd3QeWyPoSeuSlQlt0MRSRr i3khagg5zvrk69xRKDr6svpBWgwEsTioc0S8gBd9wS2NklRwX0RGVKLMBvKN NiynMx+AX7eqfluaGuSfSj7+94cT+NnkfOe78RTyD9i/X7JaBd/csyP0abWQ 194SG/DcD3wkbi7O6BtB3qk/otRrouAZKP1iU+sa5HIm0pdc1AeXr123XARu QzbL3toVqXVwKWuM8f4yCVlrqpPT+Px1cXF8VW75F7LGSwjH5JLB+R/bHrsb 7ZCVvb5+JaMRnNkPc9T/FYasU1FvvRLG4d5HKldTvP8/N7tz+a62HdyR6Iq4 yLINGUnqq2++G4PtFJuUgEs4ZNyuOhtl4w62MQ78wj8XIEPOpkEh+ADc/sHF MKcgB+ljuR8e2bPDLVBmSxX8Auk8gaZ7GZbgZvhX3oE+X0gFiyfKvEFwo+V+ RAlPAyQL8ygcyHSEG49YgrqCaSB5D3w06XGBG3qGrScZMiHpfTKha2kfWIyk JMbkqkPS07+zE/42YH4pI3R9/Dckbnliz06Mgan171GWfANI+LDvyfnTn8Hw NnqqHisJcSQftXH1YjDkemb6B4wgrnhG46UNHxi8mxZ2msId5U9485sCDLRp 8i06NSFOW31u2GAc9JUivWwefoOnQ7yC8bzuoKvLfyJnow2eLBSHGxSUgNbv 4TNi6urw+JSMyIesLdCKHiKd3eqBx2ysgTrBp0BL4JzBFw28Lv9cZTS9dQ4u m0vsLx12htiw6tmK18WgMXEiknfuBcSULSi6vtWCS4duU6QzUUH0AcfbnHEk UDb+dI7WUAYi9q8vKwgqgjJrLimWIh7CP+S7lA/Og9LQlUTu4L0QXpV1Mrc/ GpR09a+ETNpDuIn/KVn5YVA0au+r8k2DR8UDLuordwEdvpdJPSYFYWY6CXI3 UkHu3yoHRLyBkJ+Rw7+ntUCueFiSp/0PhAz4HafPug9ypo2W3l2sEFKaE1o0 SgmnsajXdEZECLmbqLrrZwjIxq46LHF1Q/A8BYdJ/ShIW0hSs2U5Q9Dnwn1O /7JBIi3mkx8kQyDz5n6MjhokbDJYUygCIGBNwq3ShwgSEibmansGIWDi8cpH Mz0Qj31ZZNb4BwLy3h0el8sH0U1jPslrJAg44ynd1P4IhJnrxZ+dzIYHI54C irSBcIIptmlDxgR8Rw8ZU3D/AP72T5e3SiXAt+DHSl5YIfB7XTpw56IA+Hry MXD5uAHfR1kJDbcO8GWNdEk2JwFvGxJQelwLPsbaT5arF4C7fMug2uAseC0K sMdWsQCnUYOq6Jlh8NAxXj0rvwIcv1a6RaVI4CH0y2/3QTfgeBpt2C03BR4U Qy60OTfhyGui+YPX78G9xookt/AVDlt8lv7u9Bncj5YwPhhMBtbaEeO72k/B 9W9EhO+9EWA6Zb203N0Fzh/tH1kXrwPjL18BoaZz4PzKTjQ+VQwYa+3aVppX wDk386FJ2klgPNfn0XrsAzjfLvig0noCGPSU+Sg3JMHph+hpR6kPsF/9FEql uQdOdM33+fc+BZrYnJfZso/BvktOi8zrBTQKUrK5Vhxgn6BLc6nJEKi/j8mG PnACe+s2eYpcW6C+ejukkEEU7HfnlP8+LANUPAwnX9rEgZ2iSf+o+0Wg+PWo X5g5Au6QOY8uJVRgW/5kba0aUbgtIFY+v/4b2zpqx5si+BNu766/VZL2F9ts Vra8qaAJtyYeVD9hwLB/m+l8XuUscOspxAy8icE2YgJXYrqH4RYFTTmFfzO2 NvtBlHydF25+teAb/SSJ/dJTZX3yJw+s5mpuHdmvgf1ifEnP18UMVt1crw6t ZmEr5OXIOP1VsCpsSj1Y8RBb0fkUy2EnDlYODz2eYVnY8vXzLO+4m8Fy9YaG 9b8U7EdSbsSqRw1YMn/42/VQFvvKtpfZqH0OzCcE3ZxfPsW+1OtIFAc6gXk+ teP9yUjsi8mMZ9ZlbjB3Uja9kJeOfc4Z8710HQNzqhF7s/Op2IJK+ONgyX64 LmP4SC9ADptt0c5bkT0Mpnl8n3R687FplyOdxQ+iwOjVeHlQ1yI2LcPB6XhH BIyS72oT2i9iH9Z+1FdKsICRg+rxbzzO2IdgBsHzK3vAiG3y0gODdGxKMSuD GM4D15zCL5ArN7CJXbtU+Tx8wFDcIlvkwg3srde5SpUFXdCbqkSnetawt2Jj 842ZVaAHPJtfcsOw4Tnb9lOKHaD3jMgg0OqADRtdVKi3owc989pBFyE7bEit +cCgshroTu++SX3/HDZ4ma4vY+YY6CwxSlafq8H6eu0Mo5jm4arYl1RU1Iz1 2R05XplOCVcP3f7aQHkJ66Onbn64XQRXfnHr29JOYL3a4QrvZh/AlcjOXPW9 BIz4qYNb7RYtaAO96hejQqxbeYDPstwPtGT2dH//GYS9alOOrGcWBw1TASUv Yx/sVdBWLafJG9CQGPyngMlgr1RCPBXl+UGDuq2S2fYH1tYzmyMspw7qVfbX vl1owQiTDQU9pyNA/eDEUEKHDtYqkDLKJ/cELg69jaw9cRtrvOsdq3u5DFSj 7pWFx77BGlk+vaR8zQOqdwb/0GfIYw1tZqWWT+VB9eK9wfuNn7GGYw7Ff9Lj QJVSc7aOXxer+1j+RMFuElTuPxlW13TEapJXaBqIxqDstztLkysVq3zhcENJ SQ8Un0k16ljKYZV2R936+n6Aon/g4Na2OlYplm0/geJB0ZLayuXsSayiniuk s1gVFPnKnDsZ9mPlheLDJ/RU4EKZk4ZgJwkrsTIpV1M6BihxVPvJP3ksn8y3 3f77DJzT+eLXynIDyw9YrH6ZtAznjsdP7+mMwfKlSG7Kx3fD2aUEWW30HctL KZe+8PUXnI1JMOdq6cZyXRvvLO+lgzPk4KDaY2Qs22DyZlTsO5C3TrGgMpPE Mrz5+l4EFoJs25J02l5FLONwmrDLxUqQzfjO6TbFgqU3XZSr7mgAWW8BiYsX LbB0Cgnsr7U5yEpoG3BzFmGpGe87WygZQSbLnEYjVRBL3utVeSx4EaRjJPJL Tydhcal+XS1JGyD1WIw/gToUizP5eWVRSQuknLcDck8cxuI4T7059bYHpPR3 L4ZiXNjTLPabVbu6QYo9uf3Itgj2pJq98efkNkjmUjWfGajDYtcrff9u5YDE q5QS4YokLIJ56ilVQhKIXdTJPSAhioXXxLfqlW6BGIMVm06zORZu9OzDPdmX IDr6VjajdwR7lP2sXYUtG0Qd5goUxDyxMFWi//2hBRBJjR+9K5CPhbQvd1Ac JIAwVcxE8w8XLCAiN8o5YQ4Ej/pgaqmJWID2UG8atyAI/GxYpDhfjwUwT+rc G3cFgc5L/sNa/zD/C8NrRq+5QMBJJ6Jo9QB2/6Hm340zB+FEN2Xz6VNkzMf4 8gmX5E/AH+rYLTUWinn/pb4sy8EK/ObW7V0K1zHvdPalUGMj4D/9LCXC0Rrz mpFWnzPKBb4vc0QragnMMxgM1+7aA59+lav54F3MU6x+5W1KP/CJk/U3xCIx j7G5XYqC3sBHL8GbEziKecj2sM9sU+BzrjYHrZdi7nMeuY1bLcD7bML6+8UP mHuS2rO5g47A66ssydK+F3NXl/5+QXwReK99ia8+64+5/Tsf4vVwN/BKDx5O SVv/D6rpYHA= "]]}, { Hue[0.1421359549995791, 0.6, 0.6], Hue[0.6142719099991583, 0.6, 0.6], AbsoluteThickness[2], Line[CompressedData[" 1:eJwd1wk0VV8XAHAkJCQJCSFTqPBXkeEgc5S5VMaUISFzppAp85hZ5nn2Hp7h bp4hJElIISINlIQkFd/1rWUt67fevefuvc/Z595j4GzNd4uCgoIK//ux+x+1 ULyvu2e5rfhM8v5rMcWh/9sst1txuGzwqP0j9v8bbbgrjt75Srvviun/zdQt rvjGI71BeKR717Vk3RzFmXYn7setVv+38QEdxfkHPil7Cnt3XVMrMq74aT3e +dB5hV1Xt5+iVvymJ2CmIze36yr96y2KP74rOMcHZe26/FewouKGIZ3SFKP2 rksMfgsp/un/8Nxz6/Wu84/bNSPK/ddUbtJz7DrDuNQBUX9Orp1nIuw6OSEk B9Fe1z4kKPBk1zEW93kQPbul3ue177sOsRmpRIyCThPSzsu7vi9hfQMxa4Rf Ej4XuWvXRvHz6KDE5avFtf8f/45/VCNiEWL/6c4ns+trXiwyiFUu6xcju+qu jdNFaxHrgO5Aa4vervU8KkbQ4Rtfv3PTUuxa7ZIAPWKLvfVSu+rirsUoidbo iKBvyOro810LUI7noyMDnRrV5P+bq/BpG+J0V9O4dOf/88MAnpfQ0VFvZaUf dLhnP9XUeiKewZ5j/Budu54LLN5GxySvzN6iO7Tr6dNR9ehY6n/0/jXrux45 niGFeP+zJ0gdjd51i/akDuLbzxmQIWG56+A623eIf6pZ7sFf8137KJl4ouPH ongdczx3fS+J/iM6flObHLv2/+db+FOloePfsm3eldDsWkZSxBsJMi53ppg5 4Z6ZNNs6j4QDLWSY3KJ2PTp1qBQJl02+5GRh3PXQhWOKSPhVXrHP0t9ddwz0 0CERkf0MSopluy5sYmVGIqM3eWXP1e7atpGTCYnK5VwmqezG9+515nYhOqnJ r254t3LXQ6f6yOikt+WW1/O4XXfn28ujk6XfxYjcB3ddJxr3Fp2i/8tyqvz8 riPq315Dp0Y+ekVVtuxaUnk7AknInre4+e8x7mmbHatuJLl1mqBPurJrk77t ZCTFPnSpm4F515o3n0QgqTPZjSZWwbsW2xcQj6TuDZ/6l5eLe2qZRvoakvoa Xe/6YG3XDhJF79B/S1V89s924588e15/C51l+VGaYWSxaz5Z4xB09myax8Sb 3X6Y3L+u9Ridveb9upQnGffb2YxYG3Q2/9PzyGffdh0WR3qMzp2NeHW3NQf3 m26dW4FIxl5s4GjgGO7XOx8VJ9D57ZbrqYGzu571y1RBcqKGw4VCN3bdUXWy A8mZ/FdrnB2+6wev+8OQXHWflzplEe7x3ycxDMnfNOg8Ttwdb2y8SGULKbzV z54ak8D9Soox1QYpBVVhhc2auEd2GN2zkFJOVnOX2NSun5kuyiClVsyB8avB rq2GSDlIaSPTxMS0HvfL0FlSGlJ26jmj5tCH+0XppaxqpGIvyq4z+gj3M+Vw uWikGjF/8PviTdwDq+lab5Fq5fvE7A+7/TiQn1KH++Ux0az/17N/R1FxAKlx ml7Pj9iNr698li8MqdWM0zP77O4nPU+fMggg9U/Gdhtf9XFjv9apO5BWVLtV XKv8rsNoBsKQFjF4czNocdcsBc80kdZM9PRTXhXc7cL2arxIW9r50s6+F7hb FdMORiLt977/fYk5gruJZ9uKCeloscbZH0zEXRW4j5cGXdbPG2IaD8VdOToY vIkuh7xe4t+3u14rhc2PbqPLzVbdD4f9cZf3vGBQR3rMsnYmnCK4Sz5xOK0j PR8diH/xB3cewbfVCembtIzlTHDiTlKMTWNAhlLYTnrMbr6Jwnc+ZSBDoz77 UY3d/S2BwY56BRl6MYlpvLqNO3YgVCkAGbbpWdq62uCOPNz9pw0ZabV6CIcb 4X4wKVNriYxdYsaKg3bra1ulGsuCrvwwzeb+bzffW3+43SLQ1aODCu1nT+K2 UfmWUYiuqkdyz9/d7XfLDu6gU+hq1pcGrmcCuE2dLofmIFNdDUoQ271fKzTB MQ1da1t7qTYlivv4IrvhIjKbYtfbQ8+Gm89QdaMXmTMzOcSc3H2/8DTYEkaQ uarFD8u+LdxHrjJ2WSLzataWA+d23ydMp3X8XJFF6Hj1TAw1Iu38/JXa240s C4ra83amcbctOJ6WQNZRV+r9M5lxN398ee4dsq7IVpg+y4mb8FZlpRZZD3J+ P786i7vyccRXVXSTsePi0dEDuDMteIv60M2kduw7eovbk0p+KxrZlE/Fxuu6 4ub+Od0fi2zpHg+rp+bj5jgn/SoR2Z7cYGB/N4+b5daEqSWyNUxYSExLxE0T yZx6G9k+CfxDecwSkba/fXKU3kZ25zVS2LfKcTe3GYtOIXvfF0810qhwy48S aCuRo2TzR/2KMtzSspK+f5GjhSfhj95X3GJB5RcikWNMQA3pbzLuI+3HvnAh x0Vn+pTGJET6t/5qIk8C3S15Vyr36jfuItFb/TTIWfJ2fqenPSL9XQotvSeB 7imbuFPNf8Y9HbYtEYjuWRDu6Y12435hsoD3770AjbH0z2y46y2q+26je23M 2o8+D+H2pPT4W45cz0vpPnsqgEh/Vmf+NA4gN2VmXrq9eP222jXZDzMjDz8q mrwmvL5bJSlzL/mRR96LW/9+3MadkMqcvok8ns5I/xLrwm1TY/TZBnmyPl1b CsvBTcuxcywfedYNvLervIJIv+VeTBW2IK/fFAEjD9IQ6df1OSY1E+QDJbwr y7m45YPCgliQz1LsOHNJHG4uUrF+JfJlx3wSLzoh0sbkcvjcJvJ1+WWrV42v hw1j1UcRkchPaGqYjzUMkX5KWR5rkED+ubOmnycoEGk1StWOXxoF2hVEWS3g 87t6g+5NFj8KfBhnRP/tL25xyf7cDhSYUyLypq4DkX4MlPHpEVDg2I3D8pR7 EWllZ/3YeDAKUp37KFPOh0jftTlOUz5GweJFuh+sCxFp6eKG3HcXFMLHtYSF uCHS4vYH8qodClGd433/G6/vYm2HuZs8CrH7WBAp64374On7HaUopK5GJ4tC H5E+dwe84DdCoeoXPfZ09yLSwg8k656PwvwO9Y195EakGZWtjfxq9IhbSoTE xopI755RaD/iRI+0eveeOv8Pt/41pidC6JFn6QNf+yhEmr66dph3Gz16ed3p 2JVBRJo0PECsmEWRkREaAV0biDT+7bL8lQEUzXD/jst/Nog0GP7y+wd+FGfQ vXgtthKRng3Hc7j0obhHyqGJx/F+ecY2JGZtjuI6jq5XKTYhUn9miVhmM4pn 97R8rYqP3xv6sibVBcVHhDfzOF5GJHjVX0vaRAlua77uO3h/1jKi7VkHlOSK IpY+myNS9Wr+r6FSlJT05yUmJI1IVaMnT8U4oiTijyZvFV9EqogK+hLdhpK2 ooa9Kh8hUnF/ZeLBcZQc9jD5yAV+RMryslflXkQpZWPTfo9OIlKIyLfis44o jbfr0qN9S4gUnLSvTn8WpWkUfE9t7kSkwM09PSQGlObUWVe/iPebf70eW70o Smsn/j3GU4NInh9dtJ+qoHTzKLdTZzURyU7BWDSVC2VUyl4/ewWvrzr3ZuwZ OpTtc0rhXwDeDxeg/Y9GPcouu+Wa6Yz3o7LpvLiwJsqeWAjhm/qDSPKeS4uj yyhHprM/9yHen1L66I9JIMr58xOLlY1GJC4XBaW4eJSrqR/FHcCJmr/Ez8c2 T6G8rW/fnmPSqHmh/fTmmVmUf2TO48i536j5/ZTMWu8Kypfdp1d+8RlqfvNj kJhtjvK9vjO8WTmLmvs9ViQuXkP5m3wjQbbxqLmoaZZ7gQUVUpnLKqR/R825 vyuu/M1FhQKPFw+cd0bNWWI807SDqFCDhv5RhjtqTrxxfOhvLCqMjsgura9F zf4rwd8HilERpxDHg70fULN+jQK9hiUqRr93DAl4vBeHvXT111HxrabHvJUC qFltOpvVagIVR9XEROHvoWbZlnzNilFUPHE5Dt/UUDOv9wmJmBBU4m5yo+XF P9T0peu/Xzn8qLSpznVYLwE12fvT2vhjqOIu09bB1Z+oyUrgkZJKPKpI9Wu3 sOlDTVfrvq9wtqEKMv+CsuA8atLwl3E444oqOTjGR2wqUdPx58c77C1RZW+1 zP3mDtT4er/u+p5kVH0qSc/RcA41Di4FDQRLo+obiTN1J8iokVzpFqragaoj B0XvR3GjxqoXYjoM1qj601ee1s/478Exvy9SZ6Cawjn7glkB1CiYM/BPgxXV Jo+5jZd7o8YjFjqvlm+j2qpC0R+idaiRYSvNnlsH1fbGdfSbdiPiGqyuypFR 7Wb7HW/hekQEHwNx3Uuozvxei0KiCSJevrx06AYbqj8t9cwuxRsRdG+V+ufF o4aFgOJ/1xoRQX6PwK1DfohAeW7rgtEFRBB1ZquonEAEbnrmNyf6EYGmNiDF hIAIRr9GJhTx+9oGj5IUchChZ92iRCsNNfBsVbkmbyBipfJP5bEF1ECvLuhb pIKI/U4/LE/zoPqfV40ERVYQ8WMdj9F/E6h+YGjUzZsDNfK5fTbWU0b1rhtq baVCqDF1cWagVx3VNbXvn0y6gZoijKYHO6NR3ZNzQtFMwaipuLojQNAF1YU5 v9wpcEJNPRwW+UP49Uacz7LeiqNmqiOig15HUe1XzamGk/i68Ot+HanGhGoP JFqyreL7vvv1/gfrZahSvnBgafQGarVrd/YpuIYq1sLPP3ZbQa2RraZjzLqo oqxcyCMhHrVWNnp0/rVEFYcqZ3IwCtS6kuu5vy8Zlb0Ly3zpHY/avEX4Ns9l o5JLOT+qCqVReyi3JGHPB1T8m+6MX6Emai92+3qVPwAV5+elfDzUh9qfNo6M fLiOitastFrXuBC276/hLPEfKozcltTmoUZYzM10YR4jlJfIQpw5EoEgNqir 6rAByjst5OZQW4ugmqoum9cG5T6zpLzfSY3g+bVu7buxKJfyAtce/mjUsbdH s/JWE8rqCfYnytihDpWZZ40XT6DMHxt31KlnUYf+Z62jR2RQJlf9SR7iMOqw HL91kz4Ipd+lGKEQwK8PsLR6EBOIUjb/0R3l+Iw6mg/fNC34hFLY6xyq2ihQ R6/0u/KiYJQsXaPQyd+HOkb/y3VOaEWJ9o8GyvuZUcf3Z3XKqBnF+Bcahd/p QJ2ClyZTPKeQ381DDxrrLVFnxIesSLrbyJv4BZ3K40WdSc/rwbUWeew5LIaW cefERvuXlqI7R7hIUgJKqLMhuakhVxzOS0xrW7hSoM7JJzyJ54lgvOoeHWiP e0EqZPWANFg38Why/ApEnctpe0dNz8O9Ey65STtKiEwxHjxFZwKBQevbpgrM iHycsUzfxQKCH5b+URpaQWQxHv4iekcICX/XceE3LyJL/TncS2kDEakEKf8H 8Yiswp7XXMgJkQVqFc7ugYisZTxhUuUJ0XXyD0ca8PH1zLrvP3SAeAfu+WsV eohs1kfpv7cSEtwzzqkeKUVkG5GN5sAuSAyU9VZsckFkB71F3c86kJzx4hvN 1WFE9ljjDVVqhJQyzDszLReRfR2Z6RTk4TEJy10O/4zIgWVXnqqHQtrUe9tO hI8f6XSlq/0rpH/fSvuiL4HIsetP7Yq4IJOaJdrwIR5vkvy2zPOvkHVE4JKf JZ5fqvr1+o8ckH1a9FVXRBoiZzIr/aKahhx13s14rVlEzslgHm+5Bk/MKYPu G+HPz5s/vSDtCLlyN2OaAM+3cIk6XCICcvvOnvz5UgSRS2p/Uf3rgzxjj9m4 Pjz/cul78dZ6kDd/7M3hA5uIXOk+a+ccAfn3JFGJcAgiV9+rG1MShPydEkk2 TByRa0VNlLM1oSA2AKhMryJyXY6SZgQDFHITvm8E9SFy/eCH7sIwKKxShzgv vD4NxJaZhxFQpCDJk+WAj0+4Ks/bpwBFz13WVP9jxd3wwV+YForN9xwR260X oU/q1vlcKF7+YJXVUIg7uXhUfBRKAg8m1bbh4xE4eswlDkDpwXBHnz14/g1G rIpPGaC0QOWJxGW8nvXqXLdfD0LZGTRmruyOx7tsHxl+Hcqe+tYwn8Hjr9GJ PDUZCOWmq13UXkaIXGV5oOnYZyj/mpczNUWNyBUisa4MrFDxIOSpfhEeb2lR dnFJBlSypDXfak1G5KLx17mLzFBZ9GYhiw+/P7/1DcZqCVWyqi2n6tcR+YmR qnfHNFRbRryTemGJz1/2QiS7CdRQwMQwpR0iJy7ffn0rGWry2P6rTR9F5Jh5 3dP7z0Mtb1cq49sBRI7wkxazMofaezTb361NEDm4uY35+CjUdhp8GqsZR2S/ tEdvqIWg7mDhfKvJW0T2PKqhUeYIdfX6Gq0a+Pq3o9PTjn4M9VTFUCGIrxdL V1piZgDUG2w6lI13IPJV/7CoyQqoXwsz6AzmQmQN78+/5euBIL030cuqG5F5 /3Rd8NECwsOf8wq3HyMym9PhaPFrQHg1dNBxDl+/+wNfhimOAtFNrC7fTBt1 ruP77iMWIJIrfs4UFqPOzz5Dn2EdGln2tVm/pUadU0yZjuJG0FhraB9epYo6 yWwLP48chsad80ctO0JQJyHK46keEzTprn00Y89FncW5Vrc9aaFpcfxGhBYn 6nxUUW7lSAkkfsZVt3FN1HnxIllB1xhIzqqpZA4/1Hm+t/+TMQuQ2mTjN5Nk UOeJeXfLlV5oMTb6bzKHAXXSUpGq6M9Cawh1Xvtld9TR9t5S/vBeaB36qCIU 1Ys6yu41rD+wg7Yj96Yuf8f3y5RipYx6MrRV+dP8IeF2/FcrGSoN7S95lDWf TqEOdtfKU6+8ADtCXxSPPqAOSknb7NwbgFnG3H95kAPBmIR1xukOwJZ1dszN VhF4d9gSy2Whg0pW1qjlNsKaxnK3qInQyVCrxcQWgtrZtuuvJixAp7i8SolE Amp7f2T5R8pt6LwYYnVk9DxqK88dNpq1gc5HahpKqeuoTe5Xo7+ZN5ApXfbZ 3qdDrVc2Pl7WnAEyT5dNm5ohauXO/L6lOQ9kuWc1P9VvoJY5Uhnfzmsgu/9q Y465jlru3OYuk1gF8nzxlg4VCf+OJcyc9i8F8nbU/p0DxYgko88woHIeuo5w N1IoYKj5t7uxi1k/dOleXJqmG0HNPlee8t/pg6665hteRFXU5Pl0h1/CALod lH2JdPh3zA26RMpeS+h+APX1b3IRkZ1SyPCxPXQnzz1ukl1DhJe5pNdsjdCN sToR8hcRQW0axWWtQQ/DUWc3Rh/UIBr20YMVN0/9Xj5RB1Q/t/owyeMO9Eh8 ab1ok4jqM9nYVrs2ocdIbt+MD6B6+ph2Tv456Hl8PfTQxl1U+9E3XbNXD3qK fphGrBuh2qx557uR96CHKFh7OE4G1RqyJnvS3oaeEbs3U9oTqMa/6ZDqTXPo mfWSNKk2QNWflzyEf3NCz/LxQ9aPA1C1YdcvQuZX6KUzKJF9T4uqRFy/mmhx QS/r2O+fswGoMtFAqEmsHHp5N45wV2ijij+fWOjUAqBXhkEw5K4eKh+6EHeb chN6raI5SN5+qNRFRczQjQJ6HQxTV1xMUMlcSN6nDxvQ69rNYkb7FpUYFXby WKdBb/CT8Q/3ZFCxTLTECz1W6I3cz+a9RxQVlV/L+KLXDL0Jx+RP7rChIi7W WeL3a9Cbo6LM5UOHCnauC+drGkBvob6oQtQyKnBZll3yugq95fsYdZulUf6c rzYj+Qb01tj/TFRKRPlGe6fVRfygl+C28kq3HuX1JHgZ8Z2FXpLwAdOxYpR3 ji/DhqMbetsf3vwWbYByS0m9W6zm0Nv5aM/I9CLK5TTznbofAb09MjR9a4/Q Ew7eO/8+uUNvX3w4LZkZZf8pn337Ea/fs8Q8Rf4NlDVjpekUgtdvSNE97pcS yuzSjidcpIbe4WT+ZCNNlFFyt+D6MVXoHUl6YdgigNKjXt7KLLGD3lGFPHXD QJTm4tfM1NYGvWMJnQaK0SjV2NPz4Tg+3nj8tf53xejx+R6v1zb49a9lMx3O XkMpvC4x/UeUcMc0mGqdR8k0ASEjTPjzXkePCYQeRYlfN45vdcnjPncGpI6h hFfvxGtX4vHxYhgCP/9F8a0K17K58Pkbi00SYBpEcerSvd+X8fkbld/bbdyI Yth+fcOer+DxpuRPK0+iyM8v/UwKJvB8Mis06yJQROtQcwizDJ7vJWsF2y0U Fvf37UQ1L16PakZd/JwVcsueycBdD69Xy/otnwUULM/rQnVBAq+nh1X/gBUK ZJVgqktzwes9nc9mSYF8J7XGmAi1+HysU8sT85FXAvuXKzZ4vKTmN8FOJshN 6wP32Ngs9BLFPR68kUFO++NPmkni+ddePsXjzIRuPWqpKSnLhd6igqv3kpiQ ih3d4hXPQOh9MhYU+G0RFDNnPlTuxfNLbz4z/zIWrrplXWyXxX+Pju+L5JoF xxXhqbt0HdAbGu5y78JfcH3y0UO0B48nQOLs9zFT8Ozq8HJhwvNzSn82Nf0V AnZEObbc8effvu7x798vCIpSfePhisdnNrzBXh8CD5P7LDICOKD34htN/ulR CM87ev+FFV4vlbu0SQor8KjgFfHHYXx8mUavn2JCEFUo8VctDF9vAo7mFSs3 IC67crXhhiX0bLpa/0V9kEQ6t/ieIAI9S51d4+MGkNxjNq2otw4977DiNKCB lBdf73FRKUFPV1fvD6WzkDorcjvsnjj0RB74uO/BE8j8as13OY0OenxmCH2D i5C1dEjWfXkWeu5Yb06/CYLsT5u9l9X9oOdiONMn/LvqyZRmncp9eeihu6Hu niEJea9FbWctaKB7413g8PGvkH+ZYjt9cgC6FzhfuFK9gPyet/ZhURvQ3dEj ok+3DQW1kV+Kr92AbvffZLsWISi6n550lZ8Cuq1uhVcthULRFwWvYkYj6NZN zGCwp4PiKy9ef8MWoVtQ+o6/dRmUSDZOHZ6Tgq6XdcmBxr+gdEKvyq03Gbra VMJZJSehDIk+/xIjDl3FWcF9X95CWeGc969uG+jyqUluZ16Ecsd5+kvlYdDF 6+SyqugFFcubpaXe5dC17+bytFsyVOrEqrmT3gJ5VTT92rGzUFm6LhEzHALk rtPZqZcSocpczDfAlBnIN8+0VT5ggOoWwRPFXUpA1n65Yvn0O9QwcR6YKp8C spRGK9W2LdRYjm3VsBkBmaL7SsKwMNRSXm7ydeOAzqxjKf5vD0JtZr1UhhEr dDzXfa9eV41/1xQOuXgPQgehm/mOtDTUDaftS9O7BB1Zwhnd7AZQt0whQaPk DR0OLVJ0BtVQL3w6lFZvBzpoBc3zB2OgPokxxc2UHmBKvm1S7iDUV1aojkh/ BihnP0QteRTqe2B/sX8egFqUW/ZfX6jf0PpcekYNMN88m/thvtCg99NO4Kkv YFrUD1te5kLDbR1JjrMrgLGZ8Qk5r0CD79GWSXkRaK/9KSfyRwgaCoRe+pwU hfaAc/M0MYHQ0HhTx/zFfWi/6GnheHEPNPRz2lCzyUDbwrf9es5s0PB1KzBC jxbaGkR0U1s8oWFbIPvbJP49Enjr0eAwDRCYnkX8/XQe2jiXVqpIYUA4lSjx O7QFWvX0iVLFRkCwY20qSVaDVu7eo+J3q4HgcY6x9/cmtCxpct9ofQyEoMkH 9Xnq0BLmE6CZ/wMI6VWEujsHocXo5ONm0WdAKJymvNglDC18a1jR+m0g1CT4 JYn8BVI7FrTBTQRCVwziu+kOpKgewt/yz0AYHJfgPzMIJNMFoWrZTSCMlRSw Gt8BkggP+1PGaCC8o/IUGqGB5o173f6eaUBY+BTF7moNzd3vbTwPSgLh25Wn nLyp0JzkJNqcZg6EdSOWDrFhaJaYf7d04AQQKdaj7rOGQNPOi6P+zyWBSJOR njtzCZqGpo7GzMcBcf/w/ZtB2tCUs3/rwUgEEJlT+ase1EPTXYuhD8U2QGT9 Hi/Zcwia5CfKXdfOAJHjLehJPoYmBq8MClsMiFymNX/5L0LjlEKR7y9pIB67 a5O/tgONlWIvPqdbAJGfbY4l1Awa/S6wX33yFIgCV05btFlAo06I+5cnOUAU Om38/JAgNHKtTHUs/wOicK5l3ennQPz2SJGO4AFEkQozsygXIGKXgr+FNwPx hP71vWJkIMYpx2flU+NOcihwOwJEy5saKlnduF1z5ukLgChJCKZvp8LvX2Gg XmQFIjUvzX7VIdwspzDYC4Txlt46+Is/f8LR6fEdIJSFhnj2cAFR8MJzed9h IPgF/jkzbQXE48bX7lY4AOFy1dxpJV0g8jHxXCp9DoTjDF/pqW4DkcdZgDvo ODRs5PSOE/H7j973WpdLg4YBGy4Wjxm8XqeEGnzyoCHHLL7cwROvZ6zCNz0E Da5R3TulMXi9M54Na7JCg/p3o6WwK0BkMJphKWOHhqMRr7sN9gORtj1s+kcU 1K9cnbV2Ugci1dhISxwT3mcW/wSH8fX2L2fEd3QT6l0OP77VhM//qsbJ31VE qFfrORJQ+x0IX0XK+TMjof5oFbbn1hy+foBzrrgU6vrENZND5YEwcYAz3Xob 6nK6WB7eSQHC8EC/4QE9qPNI7mmQfA2EflS5d5Qe6o4vBlFkJwKBZKplnO0E tX+cL2qJvQFCHQXvYGcJ1L6SeHh+6S4QSm1uvWi4AbUP7ZNuUePnnMf2d1r7 06Dmub9LdqE/EJyDC2kHF6Am0ILXqJMNCLekREhSUVDzHybnoJgNhGsljvI9 /lCdueFw3J0XCKqf1JbtpaHK1ZQpMeogENgmssoV30HVCYkGKokYINCPeH0L VYLK2Qj3xU1RvN8zuP/mX4JKPZJQXNkaNCw8brR/eRYqzh0vq+M+Bg11lmdE u29D+SrFiEy3N76/zMc8lMHPr1UWXPdGZaHhsbwF6wUOKBd8cjxg9QQ0+LgK /BsvhTIucc4xgx/QoEz7OnfPIJTwWf6hEIyF+qf5rj7/rkLxzJH/gvw1ob4x gdq2NRiKs2+/0TrRCfVF5ge/nrOA4qMds7IHHKA+OLVV98gZKDp2s/+EJ75f yhVZ/fppDgXKa0HtNCpQV0axIix/HAro+sUlzr2Dusc6qGeSF/KHxbp/Wd2F uoehR/MeU0G+ZQq9aOwq1JmRX8aJ90Je+AdepqwC/Bwbss1idA6ezKRN+V2L h1rP4SoevU14EiB1YCUMg9qbBptzJ/bAE+5BYsV0EtReHnpjaksDORY7aSkz +DlZhLim/mccslbE+sMSs6CGUKwXc7UNMhQPB1y9Wg/VPhlPF6hTIeVhSjhf 3ghU7i/XHxu1g5QLwUFpFRJQ8ekpq+acN6RQc4++jyZDRdf6CcZkO0gONy3N kpeGCr+gB4pavZCU0i5C3XAIype9SurO1UPC8MqhN1a2UDauaP3miSEkZLJ2 ZGRchLKGLMOOyx8g4dbwEN9jcShLYDlsnnYP4v/t8yOwf4MyHfVHwTnaEC9l kqWxHQulXdPHPhc9hBgn60cvSslQ0kznQ3XKEWJY9Qtfx8tASep+7aeadhDd qlrIwKsBJZ6irzxtkyCaQZzbcLIQSqQ7fheVfYRIUkvYnQ+cUNxwuXhsVBsi lGvMiVzGUNTIO4qM8O+s9Wrbh2JKUPAqenGo8RM8rNMsVBy2ggIC7bukhZ/w 0Kl9UYb3FxQklz1gUfwDwV9PW5oRVaDAxPI3Ayc1BK18+k5Lowf5k3mz2TOG EHgsiW+43QTyvjnbFGktgw+1Go33lhXknuIoiBiKhfsV8qxq9cch95D9MYs9 VnDf8IbHz6RCePIDGK6s7gHvEvqQ55WB8CTC936jYi94XW9SOHvNDXJIPiFm cXvB/ddlQzPBn5B9wiZqRZ0RXN5fNoyj6YAMpONpcEYJXMrf68YuHYGMw4ur k04R4OLBy/T+7wqkf+1hzsPPSy77M/Na8fzTM8XU9+D7ulNg4ct3e7MgbYvE 2+ixBHdiOdyuXjSB1O6ib4fw89Ntn3tDNYfoICX40IiW7QTclkzZf+bYFKRY 1CZMlr2FW1/yaft0HSFFIUhuJa8Ebt24Ozxc+ACSf7cbyDhYgo1OwN2+8gxI dk9Pn6QLAWujk2cGdRghya1CVZ8UA2bvlYNOnEyGhBS/gzyhCmAWtP5pc+wz JNwv17hfLghmx8dPBz9ZhARzqk9s69Fw486hGp8XwpAgLBVgv+IK12nZ9hpd AYhvDZm6cFkFrrqee+Iu7ghxryOL3lvKg+H2z22PGEmIHnHMnE2QAkOg13mJ 73fRhTH8ezZLwfDBItXPbmmI9lz/vJMnAobUlKUff7lBNFda7r+rTmBwWDet PI4EUXcEC0uEvoLetUtiWbV6EMm63Xhl2x20MfZZaxZRCE/fJ+DydgK0rdRm Cx1vQriLwBqvygHQ3ktkubW4D8I1wvzOB66CloHauGgED4T94tg6x74NGr9b M2MMkiDM1NlJk2AIagG+SU1zJyBUNNg58zA/KKvvWxD78w6C/1hdP1k5Acr0 1GPP8t9A8FubhdMtj0Fp6MWip3A4BJPyxC6VXwKla890E6Xw673Jrlev/QXF zcM3Fh6qQtDv7KbChUiQIw816IslQ9BeW82ypMNw9tI1/RO0FRAQ+tTp5o94 OLt3ucaqSxsCjMR9dL50wBns7vsm2XMQwP8+S9tVF85I8S7zkZ+Af+d5Ebt8 J5AWoFtYnJkBf8rHDRYXikHqtDfD2osi8I1PDL7yOBpOFif5UnXagvcHK/Gc CWU4qa46wpMRAt6t7+XqlXlA/NMp4k9mS/BOyl+opqgFcfEs8/34+8L7whfb ECoTEO1xezQ2cAa8SrxeVtfNgojY5Py5VE3w9FFuuybXAccJZ+XOUv8E94sL tE/quuC408zPaZUecBdhz7qidB+Oi/pHLXkMgDv1oxPEd6eAvzBsTbKNDdww Ya+Ne1XAV+A1xjUvAG7Saoxf5ebhWLLikm2jILiKlQwtrFDAkUssv98kYOCi qvMnaeA2cPykco7XUwQX4dQ7Eq9ZgSNbTCXM7C7eV6x3P9RaAvsP9gm1V2Pg XKSVEkMTAWzFn5aNPn4Epz7RatEOE2BVX/p+4r0e3D02Ht0rTQBm5KGoS0sL Dix2Joku/MBMq5MQXMcJ9gtnu783KsGBJ8++yGIzYN9s6HpxMR6YekvXGx9G gr2Fh9Pa8iIwCtYPhqgTwa5O16b5rBHQCzyrIh1LAlvryafusd2wl85fUOvZ CthssZBTBNiBGvp6QuyrwWaMIG5mYArU3gcqVysrwaYuOU1LOA/2LAUNGjYy gI0Dc1fRxx2gms6USHJrhJvTi5UDBVZAsbSwVXXzD1gP9yuJi97F/pw/mhMo mQ2Ws94/Cx8xYVtzapwvQo3Bske09fKIEbYV9Wilru0CWJbTldGU9GO/31+5 q9C2A5buGjPjY+LYZnpusA5xBSzpB+nLf+ZiG+f3ErnrqcH8gXlQg88DbFVw j98ZeXe4HnvyVOyaL/Zj8X5Mn6UzXLdK3T/3Mg37UVvp7dMyAtfPaNEuKLRh PxC6obP0Fq5NP4yMGCFjKzYTmY4yg3BNUv0EXxgT9u3JWNwF6zS4uvAkwz31 Gfb51N893Zx8YBJAnHwqtoR9enu3jrknC0yuKPk1eWVgn8JpdpYWr4OJBLNe gnMv9nE+18HoxS8wnvOvbD8nhS2UU4xVGomAsXawsJB0JDZvd/YdtX4qGAkN aisff4XNCM6nymb5gQGjBbWiRTz2rvnP/jOM3aD/jWC0etAfe6cbp6l71gD0 h5QlBCLlsGnfI9ZDJ2xBP56CUupCDjb5Seiz+PsE0GejTZCaa8Emtjco0xsP g57Y1/wgT1Vs9AB7fnH4a9D5rTwRmVSLvXqecvUhsyro9D9L/6NViL2K/rwt UqsCOhkFHD9nfbBXTLTnhK1nQUdB1lAwcxYbOTLGxzpyBS6Grm/veGxjw8aB KeqDpqAtqEgVELeDDaT/5aI+SAsaqQv8A6ut2MCFo/3xMr9A457izlZnI9b/ 7crptPQw0NCeED+QL4X1q7E0NpfsgPp278gEVwjWR3le9tu7EFC3jzxp+DUW 6ym7wRWjcRzUtPWfpl9fxToLkuw8J87BhbPadTZa5ljnHY6LbptycIHdub7T eB3r/M+A7tt8N6hs9iq3ey5hHT2TTHLnx0CljWag/4QfBh/3m1O+UAcV1cH1 uwvGWNvrIW9fWR5QthBNE5igwJqSV90Yb9QAcjDx/3uDC2vScu4VDaUDdG6O saDPCGvcfjf3q+ksoL1YkeKqI9boGObg19INivl2H3KZH2JEg1LzhppvoDDj lllYoYI1aHQ50T5cAHnb9QuCy55YTdjcmCH1FMjWmFld98jEao44/BBmagfZ 4JxFrRePseoqZ8HOnGSQNTll8+aRAVb15rUO7x1bkNk+w0wIlMMqL2TEqt30 Axn9kYIsnRGszKTbQToYwTmaqXJzDy6s0CzRLMToNkgX9jNRLodghWyTleMe gSAdONI3NLiDFbzkDMnefAzSZkdPMDAcxQo074Sta5SCNNttoUNr61i+CoWt JfNF+C/qjf7FGzxYrrna2uh+UZAKmiDTMjJiGZeLwqVPM4FE6kNGjwR+LH3r +tz76r8g4RexyXhoAksvFiJc/TMKElYtgLRMsHSKpa47NOEgIZ7bW7LnEpZK HtXbKJSF0xHvWOTOM2EpHppO6QUITv6qTe2kbMESAg+6hezIgxizMH3dvC6W oHFFXZrCBUQ/CLk/lRvAEg4YbaVdegKizXcdaPJMsPg8J3jtASBqNSzo5T+J xWU2d3b3dMCJpiljOytpLDrqvnwq9TKIuFQ9WfeVwsI1Ci6zUIaDEIum9ep7 ayxszVPd73AoCC7Kv+Zcb8XCcu9n3v/1GgTJ99f2SJzAQrcp5DL/DIOg2+Ch 1pFMLKQ3ra0MHQSBN519xuOnseDI4MN7u57B8foQd2GXLcw/omBm4c1H4Evm 5TCTd8H8ud/MXfBbBT53OYMKDk3Mj5BIc4zuDPAZxTsUMpZjvh9df17a8xL4 Dn+MtzbOx3yu3ww3+hcKvJnnbv3TpMW8QrOPd8fJwDFLIYtw1UXMSyKeUlk5 BY4Jy2qvGh3DPKcab1ebzgLPckPAQogf5ikTfV+ABnfA21ERwjbm/u/T8rlW QeAueE9nOkeHuddTPPsrtgbcTpxUwzZkzN1WnPtOPCNwyxDiTOsFMLfR8pJR Vm3gerE/81kNF+YWvaH1JVYXuDJ62+2iqjA3dTXJgH1vgOv2LMFvTyHmRpFE ZLttAlz/XR3dqCBgrq3vZDw0LgIXxSl3StWr/wMrdj6D "]]}}}, { Axes -> True, AxesOrigin -> {0, 0}, BaseStyle -> {FontFamily -> "Helvetica", FontSize -> 12}, Epilog -> { AbsolutePointSize[6], { Point[{0.30078797617143543`, 2.736620480953903*^-6}], Point[{-0.19921202381221947`, 5.050693665802797*^-7}], Point[{0.10157595235921588`, 3.241689847534183*^-6}]}, Hue[0.1421359549995791, 0.6, 0.6], Text["\!\(\*SubscriptBox[\(Z\), \(\"s\"\)]\)", Scaled[{0.1, 0.9}]], Hue[0.37820393249936934`, 0.6, 0.6], Text["\!\(\*SubscriptBox[\(Z\), \(\"A\"\)]\)", Scaled[{0.2, 0.9}]], Hue[0.6142719099991583, 0.6, 0.6], Text["\!\(\*SubscriptBox[\(Z\), \(\[Theta]\)]\)", Scaled[{0.3, 0.9}]]}, Frame -> True, FrameLabel -> { "Re Z/\!\(\*SubscriptBox[\(R\), \(\"p\"\)]\)", "- Im Z/\!\(\*SubscriptBox[\(R\), \(\"p\"\)]\)"}, FrameTicks -> {{-1, 0, 1}, {0, 1}, None, None}, ImageSize -> {250, 250}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {Automatic, Automatic}}], { 133.33333333333334`, -400.}, ImageScaled[{0.5, 0.5}], {250, 250}], Inset[ Graphics[{{{}, {}, { Hue[0.67, 0.6, 0.6], RGBColor[0.5, 0, 0.5], AbsoluteThickness[1], Line[CompressedData[" 1:eJwd13k4lF8UB3ARiYo2lYiiIimRpcQ3RUqbSChZSgopsqYoUiIJ2WUnu0h2 GgxC9n0ZO82YsbSp7L/X7695Ps+8z33vPffcc8+rcf/GzltMTEzMTEwsTsu/ mFpaWpqdY1OsFfRo+CA5+b//2bErNh07U0heFfy/f6cpK7YJWDPYMlf970mT TMVuLXOb5ldt/3skPlVxwExeW1Lt7v9uz9mvOLJvuNMitOJ/l6bxK9K+iGJf ru//jkk/qTh5qYPDQOvL/7ZREVT86UXj/Wdf+b/3Ovcr/t2iZtUV173sxQwP H8X5zxI5/UfV/vcqCXasiD7kdnut/bIX2HXegDXK+HG8/7tlzxlx3wXHfMlp NZPby/5XNxEN7vb4VcfcBJb9d51/ETZUxFG2Buxe9u+hYDNsmngsakvLWvbP g4Fp2HI5k9qrHr3sydYKDfAye/3YycS37PGl/GFs12ujMl+8sGz6vygT8FXv FJ7UEF72N0XNGxDo8Vi4rVO37GHnFG8IlrYHHpxcuewB63E57Iya8rk3nLDs Lj1FaQi5esbVfjJedoe4dDmE1xYdDayxWHZrX8BlCL+rHxHZ17Lshp4Lytj9 hW38vo7/sstZZjZD5MKsz5rfvMsuiRK0hsj8HYu68uvLLuaUn4Zoekpk1/uu ZWef5B6H2K5jo691opYdM3h4CAfOeHsnWf7//ijb15Y4kJb+oF5ketnhMzVh OLhxm5bqnv/3K7jx5AkcHBw8Jnj1//19nVh6CBJfuo0+VJKXbR2qfRGSwUfD 17b+P7/7v7foQLItazP3gv6y70p7v4bUxj9l/bb/55uxxZZpSPnRVcP3qi5b M6znIA6H1gVRE88ve78GVQgybUwPJq/8n2+icQvdkJkZSOXdZbrsPZO3vkN2 x7wNR5XDsnea5JtD1pR2KIhes+zN9JOckGMO4xJsiyW8uLBL4xKOoKL4EvXe ssl33/JBfnyNrOPfl8smmZFycGyb8N/4r4XLLrz2/TiOnXrx2vXZs2Vn8Xy6 imMxe9YHCrkvO3psjQMU9IbdO869WfbjLmU7KA6QN+hBbtl7PEViobShJqvR 4cqyBdmT/KEkkcfxUn/5fC1us1StgdKFrnZV3chlc84E/4TSqyKFkyN+hBem GA+tcYKd7Ulg1vL4Cx+Xsk1xknNlYi3vlmULneSLhoqCaVzHg+xlbzvkLQeV G3H+EbuXz+vCunl/MlReClZeXyNEeH52z90oqLT0FXD9fbDs+sIj1Th1zynQ PXs5X+ctH9AGoJrxwcw75wfhOd+lWg+o3b3Uo9u4vB9zz+yvkaEW9CKNG+rL tiEpsEONzCwcNzC27CvFLiM4y1vfevDKp2VvvfHwEs7W1bJW+dEIz/oWqLfh vNLnXNO+GMIz2p49gLrkIwtuTbNlK33sPwz1c3+DODRdli329ogw1G9HckH/ MuF/iw/xGOrhVmzMosrLjioRWIlLnCLUf7PL+f23/RqzIC5NiVD4ZNcSnl4U UNKDZs/ztquuS8vufpaeBs3FAsc1zUrLzjE1LcHlXeIvbS7vXfbdzNwMXDZt DE+kBhH+3cLcporL8zy/ig8vx/eX26x+Gq6Ir5aWT6AT/n5f79kQdMjtNgVx 75ctOxvdA52pz0rTIQGEp5ZaPrJBd/uvERVBhWW/Fkuug66tWmO7az7hyQih wXZcFct591SMlfB4YGgEDdcSWWqp/BsIU2sevX4P/aHgPq49y+eFajspugYG W3Wa5fqX95MqeMRBBwYX7M4n3V6un9+s1FY9gkFhrcmBKS3Coyv7wipheP5R kJ7A8n4NTjJf44SR9MQHrx9lhLvfn7rfgZsHDOSt+5brQbdQS/1D3LxY4vw1 Z9ldkSGhs7hpda2tznV5fZ2+2V46uJl9QtOMvZ5wu8GjOwswRhe5J7yHcFOY zp1i3DL0fkK+bk240pCpwQ23W3h2Zl1NJFwRZ6L9B7dniifPu2YQLv9mKhqE O4JxFl6/lusF+ebeJwzcuX+Qd8FzPeESxQSVjTDlOmXXbLxcb/Pt9AUew+xa l5trZTPhpMTNsbmwEA2yvc2/nM+J3otzz2ChQ707EBxOOOGB1lXA4qUbX2pw BOH4A7xPV8KCFh844ttJOMohVzMe91IDi5/mL8cz8CKub4LlziZdj/LleuIc Vf++F1ZdHCu/Pl7O/8cd1WNxsPpnzSxWzUb4EbvdHBkPtm48JmGZQ9j+yutD PXigPUt/9Pkv4fuxe37X40G31a/wO7aE9WlU6UZY07XXMbUuEpY1K/huDju5 0UMWXNsJH34ve6oPdgaLf8zvUggf6pgIZYWd+3XrB1JThPfzO5Veh1073b5u YLk+C4qr0mRg/1Bj1daZJ4TZFAvNVsPhazmds34Hphar2da/c8Gj5Na2v4HV hCtYTb9w41GnYnxiIFHPFkv+vuXtwmPWn72fnxL1aDEvK2U34RvH7nYPEvfd YsKLdZ6ecNph9HCojoOwq1ks5ws4xxvZ8l0j9n9RrPpdmQKe/qMrxr8h7svF 3eQDkk5w2VTW0PWHmM+iQOKYcx1cJKp+MDkS+bm4UbZjPA0upgac2rQCTC3M 6B1zFoYLpaDlimQH4VIX1+YmuNZaN8d7E/fNAna01drDrXkHZ/eVM4Sl1Xhn I+D2l/9n9crThMU0Lvifw3M+g8uzVsvP8/x91Z2C57cTtVIM72Bqftz99P7b eLHCYF5Okbg/531UuBjf4a5Uz/Jwknj/XM52hUEzeMxyTW2pI/Zz7n3dCXEb eIrs3zlj+Jxw0OmiSAo8r4QkylcS9/GcfQiHcCg8P5kNnYUHYWkPse2X8Mp6 +r23+2ZMzcZPaaVfwWuW/fLsG7diakbj/kyEF3yk9rzwZDIhLM+V3WkLn4uX S5u+zhAWul63Nho+5lnP81cS9/W/X0wh2+/CJ56FQdftJex9PKGPC77bZvbv 3Unky9+scCOeUfitdR76W0DcB9MZD3cfj4A/v97OQTvivE173Y26kAH/40oN hUlE/k3fHnLZ1Ab/mze3nVd7TZj/QmzuQfgnX2WJtyL277fLX5u7fgiQF5pU 69qPqV8SU/eCJxF454m/Zoc5pr5vUbTWtEDw9P5v1CtE/ZwadqCdMEIIv/EX ZR5i/VMfOKt+rkWISs/Y+etEfk4pSxqXdCMkyOOGjCGxP5Mmpz7FtyFUgaFG EWrC1Li735vL/xAWxK8ycoI4LzRxU71FXUQ49ZWse07cf9SBLTIXDiMiPbeY n2OBsG8t75QYIvopwlPpdpj69lMx+ct1RJ5kb5CTn8PU6PvJi70DiGJzNqtd EsTUEMUvsTYKUR1tukMPiPpNMQjf4+KHmJCn9+dWlGOqZyhlz+8DiMl3/9rV R+RrjzH7kUUHxHSRlfs/EPW62yg4WfgKYnk7or4ZE/WgU/Xe3s/WiI10cj13 hTgvLXkvHbxmEfdxpvPwINHvtfBnPNY6hLj2m0JnXhH3Q/NTsmBPMOJmVzam 3dXFVNNxLxPxdsQr/TTcJ0DUj/r4b422gYhvdUo8wEncP9UrJHwuJyFhpXd9 jzWx/iqlN5e2yCJBLNx0fQhR/7480W9auxMJGjQXnrBkTFX8OnDJ8SESYqT3 SNwm+uGygvDARVYknvyw1rOACVOFJV26XNFI8tP9mR9GrDfl1sJ3mQGkGnIl pI4T93myVhj70ixSX80NOFQT/VSS0kiABTNS83a964kh+oUEbq3xTc1IWy/I J7LCBlMxz0JNmBORVtFnJNk6iqnggkj9wAl8OOo0G1p2FFNBlkc7Chn4YLaj ft2VU5gK3Nk9d0oDH0Lmgun9xP9vHeYagmrwYdZU1T+S6IdeTz9quWiJDAPO dbY8rZhy5Vuq7PmOTBG9lGsMQ0w9fX3tz0ZmZJ5Yh488s5hy/je39o0wMq/1 Um5eJ+6XR6V1Ay7TyHzTsYk9RAxTtls103wfIXNGwqNNn5ivSe20JVs8PjbZ vNnlRfR7KlNUXevf+BSUYmXKQ9TLk3nDAk4r8OnTHSv3H5KYUnrka/6bBZ+a oOeQTtw/xyaqKrXYkM15VOHWBnZMST377Z14FNlP9Xt1vY9gSsA04Muf28i5 L1UYfugApvgqrd36zyDntV1FOBs/pnj52J0uPEVOSqNQnDhR7zZlbpELZUEO rTxX3YK4j1c/XfzbvBW5N1MbN0hvwOSPJF/njBrkXT+QNrp+JyYnPaX2XktA 3uOMZ28eK2CSccPtGmUeee9Oiq+bPI/JkZmfDaxvkdcTcnElhwwmO8rEe3Q+ If/q/NsHla8wWZgUkmx5AwV60hcHz97G5OMblmN5zCgyDu3eTfHGpH1huYVJ GYrc56fzPT9h0pr9163LdBSlXNegBJ7EpKlz6NOYUyj6uWlO5R8Fk1ptvOf+ MqH4ibKyrU0lJvcL7juV4YrPQblXWeuI8fd82K9wOgifC1yZCm2bMbnzECvH 3+f43HskJ7nnGiZ51rJWiQuCtMvcpmHdHUwsCY9eefgWpJRsnYt5fzFRX5Nw YsgDJXoGGizalZiocikV1VZHyd0BoaU9aZgoE9uwTmgbSpzODebPdWEi+/JJ iwvbURJOlT14ZAITYUxWOiJsKOnjcDfbx8CE/+mvMzeWUDLRvsI9bB4Tr5+d PNG+FyUL7ndU2rQx8aTeXYPZD6V8wb1sXs2YuPnZU6OAgVJdwyNk82eY0Aui G+y+jNI7yrNao7WY0Lr5UJrMjlL71coF13owcarp6JjbaZT6i+9XqvHDhCj7 zq8hO1BaWzNnTI/COH181KjvGspkoje8G9qF8WG7Ifmaryg7ofLZ11wT4z3T zhXnb6HsfJne6JAhxmsbO5nGylFmfPydyyF9jKevmBfk40DZGwWN7B5hjL+X HLIoZqAs5PXn0W1DGI/QWfjVbIGy2Azr3RPXMO79XPxr4TzKck3759qqMX7P kLOfKoEySgj3LYE2jJsoHKpfvQ5lo3dWfKD9xbg+t6aJ/CuUTbK8y1GXwPj5 4LlUrc8oW4zgSKzvxLjKhWJ9qjfIbGGPy+IzMH5s9nuFWhLI6250bJi8j/H9 smJ3uJ6DzH/Oa8ObIowLfbGe89gDsrDF6w3SchjffiHje/EvkMW0yKuZdDHO ceKtnuQ9kOUe7nlnq4fxFR+e2r8JBFkxiyVNwRaMmY0/FAYHQVbOtCleyAKD Sp7+UPkN5IszTz8WVoLRz9WhaDwBspZSu2yCMxjtmp3HztJBvnpOWmCfJRh1 PjvdC76DbLBlseDTZTDKyyll21tBvhkXuHFPIxiFPw9f+KoE8u0fBjMiVWBk bdW89CUIZPMF8ub7NmBEXwxmPUzMx1pjRvx4KRjBRluy3hLztwuNVT6jBcab uxsaayNBfhjpT8sgxnthmbe/ZwDkx0aKEwHbwHC6L3vBggayc/8mfZNCMGxu l1j2SYHsstXT+100GOZX3VwFxEB+tnab6Ck7MG6oZgt6nAPZrejo8cc6YOge dAv2LQb5xW4zvYQQMNQ37B66Mwmy+2mRVzHNYJyaqo10YQf5pdCf+2l5YChU pW2ZdyWcp3NB0gKMw+/m5Vhvg+yxsm2HriQYYnenXq+VIMz+J+jObjB2yRWf mA4nni8/o8h4CcY2pnc7hZbHk9GzixsFg6uc7O5wmXiffpmnQiwYbM/NzY/N E/NR4C4qCAZ94USt5oQ1Md/Gfq30m6D/WhDQ/uNCrGdbdfreM6DTP0VsuzZC rHfLPYUrP0AfNHUtU/Mg4lF9L+57KOidfOwrguSIeB28X3zsJej1taarREuJ eJ7ZFtUrBnqF4+BTLWJ8O54tecqXQC80cGfhrgP5garzfodroGeecHVZRcTn 3o4N1icVQE8Q3vlldB/IpiF2V438QA9fmXVM2w5k43z1R8EioPuNPG/dVEbk g9O5s1JeoL8kj3FVhoCsO8q7+8c90G1cY1ZpnAL5fCTbmZNpoJvdCDl5Wh3k U98j1Ii+m2540pgn6SbIGJnra9oP+jn2ovOC0SBLZEs5Wj4AXWli0pNvF8gi Phl614ZAl21TZGWKAllwnVxIQy/oQimu6xofgbx2kl4dHQP6tjD++VYVkFde GuxTVASdy3t3l7I2ymavOEdW/8LY3JOaQMde4nwqO3t0H8bYjyfcTxnsKOsW 76LfuY4x6rNNBrKLKKvP+3r/sjfGWkKTLtcS5zcnK3yvyQuMVaePnNBhQ1my UPSOzS8xRqqWKLtG1ItwadfSeTeMpa7XUJQg6okrbsQpfcWY27+FpVvEeVf9 rv9bjB1jj1TXyL9YQJmc9W9+9i8YswpvEnJ+iTKR0DmLauJ5fZN6I5EBlK1q 9b0oJ4oxuftZEqeIeli6pEOOYcbYwTX+1XPCKP2Q0Ll58wDGdn8q52CrQum7 P58O9k9gbKPIxbkr61Bq53H1yaE00Cbjhn6ohKJ0t4++Ta0vaKNxM51cVJRy P4ygZ4iDRvnY7TfXgJK5tXdf3/0AWs2MuLCQK0oaZIVERwVAS5TTM3v3FSXW 8aIhbH9Bu1VS7RjgB9I1nioB8/ugXR/V19k1ANLetq9Ovo6gXdn+xmqvDD7/ Zqs4UlIE2qniojVHKPjsWSHd9H41aCL91Su/N6I4czjd8NRD0HYGNdwsbEWx o1GH4LZVoPHeVG11uoDiEwYN3krnQFsjbRrKPoOixqHXP55Fg/q99khNsCIK aXKsP4/SQaXvjhxSEUFh6thpy9k/oA7784jYdqPQSjTKneQManvGD/arwSj4 Z+AbeXAM1OIpvRChNBSs6DJffJQHau4f1c22L5BPPnYgSFAW1I8b47cFzyLf TdHmhIQDqO/9rvml5iOfdR97E18dqD6xlHPd55DH3OXbQD4J6qsbb9/X3UNu qY33VlESqC/kRuMmCT8pMcz4VAzq4/09uwRtkDNnbXpOVhNUU+kbGo9UkD31 PGtj+WFQjT+djbmZjuyU0Zmgm/OgGp4tUHTYgew7qzfuMX8Cqna5Z89LA3zq jxqRCOIAVXXAecv7Q8iq1dYdC64HVXkPX+XgXWS5r3N3KTwB6nG3qYRfzchS Cv03W3kB1CPe9n88DfEx59g/IasjoMocubC1+zI+WmpLeO6pAVVyIaRzy018 3KfOvGUvDdT9zdWxFhnIDP/WwGnjCqro8Bcxew9kans8Om/MD+redRZnOiOR uX7TLpWLV0DdmUG5H5OPjGf0L6R7maAKiOQ2h5UhQ0HecXSQGJ+vwNDtTSg+ jM8JNW6rBHWr2GHKurNIb/qcPiZFxJ/nwImRv7VIP++T4C2oC+om1fa2ImWk VetqGm64BCr35zCjn9+QWtLHFX5OEVSu7Q2tx0yReiy6gqfeEdS1b3x7md4i Jc/cPr3SHVSOApKs7mckZwjy3pVuBXX1A1Fxm1wk79+Qqme+E1T24ztYpuyQ lMjr3OH2CdRVwmGWFZZIEpY32voyC1Q2gYjnJSQkRj3c+SreBFTWQ0IZPUS/ z9fxuuCkIagrdfcUhXEiIeTqA1mZ26CyBMU03utAAg9r6KvV50BlHvezYj6B 936UJkF9ccLaU0/9ZPCea7hfwoCYz4quLBzTRPzrHV4fjq0mbNV+9uxlxHP4 RMnFvSMsqB795CfiXir0zatfBpVpdFv4lTDEse1bk2zXTLhk78yZesS66TAM T24lnGnVsN4Gscz18v4y4YTzxoP6eRHj8rqI+WEw4fbX+4NOIYYpTDRk/SNi fA7VylWLiH4yi5tzRP6uuMy1wJeOqKX0nIdC0oSzOr9yvUTUkyKVEZnl9Yj6 ewQHIoppT4zfaWL+zNmHf/HGIXLF0KJjGJEPLFdSdtULIWKl0tb0rDVEfNZS /em3Eb7q3hTDcJZwd/eeOhW847TusRfrIeJZ/GDLTgOEcWuLexQNEvHOjmBj uYNQHkEpQae/xH6Qz07vcUIIX7tUczJxXtm/mar+nUOw8FOruAY+Yn93DJHL fiJIfI9IT3IqqGsaQqXDNiFA6Wl73st9oK5TTY9qsYP/eeW9nkpDRL601grE LeDtVYH4fIOfoG4Ur3IqvQxfe/lA54OniXybcfg2dBI+7p7iQ8mlRD52tdmH O+CNJK99oZoLqLydB01WPcarJyGmR+OJfOebnrn9VgIeyQfWbwkKXc539s6+ A3DvuHnm11MyqEJVnuHVrHA78s1gtoYd1D0y5TlrGuF6/6Jn7w0i30XyWr6M nMfThDeDZxszQBX/O5P3RguOSkFf9XWzQZX41PI8Lgp25PLwc5sFQZV6zi7q aQvrcxwZTi/eE+fZYIXc24u40xcUs0vrKagq068mVJxIB326FB/cvQ/qGT8T o95kkoYMnyMbZQHU88qkK49USYb76yTi1PtAvTwmse6tDenejpdKLanEeb0l lnumcZb0OJR7IN/pK1Gf7kvPtj0gPfkW+T31RhioFpXxRz88JrkEcPa7vSPi YZfxJO3IPMmt5j3b1V1vQPUw2yW3n0rynG8y6erxAdVbVSRW4B3Jy0nkJdf1 t6C+lTHs0mwmvf7nWn92oAHUcLWHr/tqSD6WrJ9rxWyJensiac7blPRWzsWc qS2OqMfJ0e+/a5PejrAk7KcQ9a94V/+NO6dJ/l6t71Nl40GtOrnvmxBIAe1n LabOzYHaL9+UMv2IFKw68azXiDj/ozvqOp77k4J7T3k+3EfUXwbXfKzpBlLI /bIdTUJSoP7d3rvkE0sK9Vrzu0OnANQFGdaTtYaksM3NzzYx6YDGcv108GYh Uti7BLm6J06gcTWvyq1uJ72Lvst8S+ssaDw7fvtubiKFC2hqJ7sng8Zn3x8R ZUYKD5XTrnnzFDTRc97s+TRSxAuGTHxUA2gnH57mPn+UFMVfococJQWa2o7d hoeTSVHqjooK1+6Apl6b5T8iRopyiXwD3TbQ9FVygu8akqL6pY/6iYcQ9y2X f9N9R1I0Z0zR5P5i0MwH/9S9UCJFyziOnXn3DbSHkTy0J5KkaHcTtUein0B7 6qHA26pCik6zPyh+8Axo7o65SqZ5pOimSf4ksVOgBTywc3gsRYrh4ZCaiFEC 7Z3DrrEFUVKMdJq/16INaLHPfvLhHilGM8vyfXMeaJmpXy6tjybFeA5Xx/wa AC3v4l8e5gVSTIyF62ueLNA+/324+LGRFJPnVdrxYRy0itgN602sSDF1Sntd wneAVqvhYtIoR4oZ8DR8UKwBWgurp3j1ZlLMzzt7HuyaBa2rcPLDqkZSLHP3 cd7BadAGbK3U2xRJsesHnjY8JuJLPdQaWhRPihVwrEqZIsab+N5zRHaGFCuW tNJOlw+03x9Pr7iySIqVMRf3PssM2pxt72/DWlIsSs90Z9EwxixvePK+HClW NcU8xzYBY6uZ/TRZ9pFiL4hm9kTpYYzrq+xn32RSrOYx1fM6WzDGE7BJjz2F FHtl+Obx25MY4zcYx9kdpFhdgTPML95gTFjsWXFsP+HvqgMXOTG272+k1YEH hK8Urv75CmOHylcek3YkxWprrrZL1CX6Nx/7cy9WE+OPxlf28WEMep935IqT Yi9yrdt9iOjvTolEuNwKJMWebqjdI7UVY+d+9QXfOEiKVRKxSWBKwZjmZ+X+ lhhSrNy2hOQMot+76h58UG0tKVY8jlsmOgNjRhcji8qJ9+2sMhZP6sfYHR4h gQRTUuwmd+N90gUYu9dN14xTJ8WyDvZoa5VgzDa8uND3BClmujPydGUpxh7r mwhLhJNiRu6+aZrbjDGPzmvnbv0gxRTfT5S3VcSYj698g6wDKSZhoPTZthyM Balu7VNbT4rx+TnW2TCGsbjE6UMGyaQY/cUsLuoNjKVcfjVZzESKOTnr8yi8 HWOZ8xcO+muSYvaGTafssyD6ZXiEP+EmRdNbJRhlFzFW0R1x4sQ8KbrG4mXx ZhmM1Vptvl5tSIpOzDS/91IHY11vbn+ICSBFGynup53VwNgvL+M9jzVJUWV+ ZU4+RP88s6B+zDubFBWUcI1FUgV0pjt7nq0WJUWZW/2QH5QAfe2+AbmfxaQo roMXKP+I75c9Bg2CNYOkCO8pWbwaBH1/2EXvT3OkCOEm17+fA0GXbDCJO9ZA Cs87UuPrfxd0CBZoqP0hvetI5jjjJQu69s1yQ9VyUuiMucLIh3rQryultCo6 k0KdrzP+bVcH/eYWTdGMu6TQFRzGI8eHQb+XpK/vtEQKXop4+K/9KejPjb9b Ju0nBQ5tetSSFge654Kea18DKVBLJu69JzvoPl4+OccPkwIqDzz/dLkH9DDv gW2BIPlHp0W5LDkT32eCAhfyKSQ/nOsb8PEHPce8jvPOAsk3+ul1P9Ug4nsu 7d5G3iiS74r3G0Tf3wa9coNoxFp10hv71JKvL4j1dhswmZ/VJnlK6Gl5bvoA BtOvkPHNsySnBqWljT0sYLD6y23lXU1y7FH4tr7SHgwO0adVxhMk+/6h5pDd ZWBsPNTgWxBOsmq5Tlb/WAmGcG7y4tIQSctPho2ZaRIMkbkh+1EjklLBsULe MQkwxA+rFaacxsFwy0GuyX4wpF0cdqS14Do1RFXJ5gwYKq+GfXx3waa8vvK0 8xYwzljK/9OZhoPIDpUirRtgnD99U2A2Ho98/5Lu/T0ExuWWn203+eByzCtK qvUnGDevzB8l7sOXZ2g/Od+KgGHSmVpbVQ/PzZtHOGxWgmF2vreMywGvhq/y K6icBsNqQ0TImhd447GhbpMNMb7zyrx/HRS8fawzntj/DwwX4xLrbEn4u8Z9 ffZkFRhu2RV9/x4gwDOJOmbTAMarfQnycRUIimx5nr97Dowg/a5LcuII61Pv 0ZKPACNUZfhL4CO8+7mh5ZiiEBjh/Mm/RJkQscouQ3E8GoyYSI2treaI2u6V aedzGYxUusJ1LRXEXC7F7ffE+z5cMRFQiEXMKKuXfPYOMDKzNnZs4kOsHXfR Xtt7YOQoDDecIfrBUHuZtwGsYOSZ/5tv40S8eOMZI7WbYBR4Okyv7UN8KaOh 9lI4GJ+DI7XkD+P9uMkaVj5RMEpeypHlviPBtazwTNtvMMruCDEHMiNxW2/j 4m5BMCr+NZAqppGkdtZYjT0bjC9Jz9ke6SNp+B1HlbwuGNVqlimHBpHslGBq ZLsCjFq9hvG6T0jJove/SE8Fo65emgxtpKrvPH+u6SAYDQdzbtHUkDrBJeD4 5QIYTWWMm6xCSBdd28Wm/hSM5t++2zw7kF7Fr+T4ZhiMVp7DF2tv4MPtQW5t FXYw2kUvW/BaIeNy6evQMWcwOnhLXzaYISM+g+ngfDPh+TUesteR8efvRfam GDA668R5qwqQeTpon7oVsf9d3rwFx6SRGfpG2eYtEf9uxdqPzi3IHO/X2Hoi nXD/Ud7Uf/gIdw42KSIfe+7rtvLY4aPfi927+ol865na9fKsFT6OUvT1r6qB QdH3TJB8hKwjHg/iaUQ8KcUvb+19jazXrwXb1H+B0btmfb6wLLIGqaIJ/4IJ q/Fd/V6ETzJBF5NyfQnbh5fq2+LTq3DtvQ7EeL3+rwRfyePTwAybQDARv96o rjsHmJEtkywsuZ44f73vnJTG3ZDtleHoYxxA2N2cq0AZ2cOcLROaFwkbBdKP RyDnSOH8Xb0Kwvt+R6rvQo5PSakvmwkxv2H7jGuSyKFt+yk+SZxXyquN6jOf kIsv+popWYR3FtyyU0ZuUFUHbByI9SYYuBg/R+73HQfPhBDnt2f772/HG5F3 +suRli9pRLw8rX7cvoa8sK/YYv+RiO/Y/ED5a+RNbekoO5xP+KgH+agM8k+k DmavKiH24/GaWx/YkR/oKW9cLkXsV7qDhvQ95NM/kGu73Ij9bSppkPuEAvBf vcFGxKuVnqWgO4cCWuOh395eYLQMnDD6V4NCxc1SJSEDRL5UOjx+R3z/v42u kM+yA6PROGrS6QyK4LvdbeoxkW98dop7TVAU8CumOsCayMfyPOs76igaD1f0 XiEJRs23U1dU41AcWiFH+mdG5LPBg9TGZhT/PKn7YvIwke9VdUeyxPBZjX3j TU1mMMrNv7KRVPF51ri17mwUGEU/ONn6jqLk4GHWbEdi/wvGagtjylGix5n/ toCXOI/NErRZSZR4sMkM/tAH45OV/zy/GUqGb55Kc3gIRjItsUSoAKUhhZmh hVVgJOpd39GhidIvCUk9f86CEU/aZD/YhdLp7CZrD6JeRV2SudU5iDINOW3t piUw/ON7M1P9QV7Tki2l9xcM3zcnggJKQZavjzUvaQfD2+QP9ZIYyGb0pQmT eTDcByZXP3oPcrW7v+BnfjAezpsM8vCi/OU5qkJSDxh2WiENjWSU56lzer2+ DsaDd5dT64NRTrOOd7Ih8sPsx78kliVUnNmelLeZeP5qIZtKsS0qOelFu1gs wZBJSfI51owvQfqzj0ZfgHHIZDpq/gG+1Hka8t6yBWM/hzXXfC6qWDrdBf4R 8d252ji77RyqLHvol06Mg7F6iMyt7IXqc3aSt1ewgN7ef+vfSDO+rk4KONZW BHojR8al5874qtQp9a3UB/Tq7W91I8rw1VEo1mzzWdALJmzOp3HhK4Nr/QzR L9LDz9UdSalCbf0+5HqsBF2vuXifEAX1wX/55ReqQL98Ir8j+Trqm7P4318f A/1sgGt//VM0rHGtn5U6BPqRofLeKi40PL36MOq+N+ibt2xxXFBA42Hz4wUf 3Yh+hVSzJJ6Kph0iuzRG1DFWqPritmQJmuRtXXb+dsFYxgfV31PdaNKplJA0 zcdY2I7DaxtOoentfZ8ooSqiH7MVMs4zQjN7q1azIivG1o08LA43RPOve3I/ czgwxnJQd7I4Fy3rSumLrCdB+6snn+3jgZZ93MMD6yxB678W+PiJAFoMIyLd boyAljZRy7JqH1rqzHySKptBUznronbDDK3xZ8R33iD6adnkJWG/LWgt4TZr XGdLfJ8wtgSeUkRrd/WsSZIkaOvWdKsNMaONe31gW1UkqK1tov3bONH2cFBQ ftYCVD1L7Q+sTWg/M3Whn0kS1HOtZ2q330X7TW+9866uoCps1RKKYEa70+Z9 w0GLoPIf/9wnlYD2Dx2ytqSN+EbZqHu3wgQdm7atkEwPxzfNL6NcSw/Q0T7l c+r4enw7cWglx+Xf6JjMev+hzhffJBynZ1gj0MmmWXBNfQW+rcnMirrhiE5p 4TpaWgBGyWlvn+yuQ6fPtIIpSxZGxeY5ndZ0o+t47KGFP3oY3TrM9pyrCF1a RvYMoU6MsqZL6G7OQZfpD12jpVmM9P2oK5kdRZffM641xwj7SGULBx5F1+DV kx6sLBh5rBR9oK0ZXb99jcKJ/mfkjrRB9so36F7lbza/lgcjaFDeZBWB7v1z diwOZzE80eKbwmhEt+1RYSGuXRju4plc+UIL3S+Kz3tNymK4/MTuN64s6A5m Y/zyisNw6KXTl/aZozufPrLkfR3DKlejDz2+ju7Z4VTrz7oYPjjK3Q4Sejhe 6oRJj2CYV/eLx9U29Gyb1O8X2YmhKRa9px+n0SM7v65M3h9DQYY5twcb0GO1 9llnwyUMuZwaLc1ajx7n1EfulFoMmfPu4czxQY8X+0FHD3EMKXrohLZdRk/8 ryQ7nQYMjgScDlLcjp52r2dWbVwYrJvMa7X/hp4hZjp3wAEM5srp2mqvRs+E 5BoL9k8Y9Ahvftc+BwpzXr5+yx4MihdbOd41A2Xftcba3ggM8sSJOurSQZHy 4u9x8MLAkvMjycoQUI5ZDUx8EcRAE1eWjqErKOf1bhorvsRA/pcnpWeHQdEy dNCv0sBAjE1mddA8KNe3pkfMRWDAOnN7doUfKOZx6mI8rhjQU8LMkylQHtjv Hye+jwaUq2I8w86C4rCwdjJNAAObScxdQr9AeS5IPbPAjf756yNP1CZA8fx8 b8sBQfTXSbCZiGaB4rOOh39KBf330r8x674EJYTMlSsyjX75a7zaP+1BiXhW OPiyBP2r5spWVrCAEkNbofrjMPpa/bZpf3wKyvup3CusfeiLFrjuqqIGSnJo Qc2gFfos4modxzlBSaNNfG4G+o4KxfVzHgIlo1s2UV0QfWzhu1vp+qBk3Xtu uG8rels2eE+4sYKSHV8tTK9Ab+RzQTaF66DkPpkNf+CFXvM/2/Z59YCSt8DT XfkXvXImBbYBx0Ap4BfU5bmF3pWdJ38VlhMe2LH0nZhX09lpN2iCUnhKcOfH J6CEk9cVdBDzL7wo4yiyDhQzxfpSfUfi+TnH/UbEPGVKbI4EtBM+y04qMgaF 5YzCjjk7UPIViXbxCnoauk0SKw8S82kNeh5JQ887W/H9rMS4OesmApteoMeU 9+vCRC+xnomj8huJ/6Vrna5oE/uReT87wX0lephfOUracICSHhiu6VCM7gad WdkKZVBSbkh9X1WJ7ncyUkGaqqAkNJcasEuj21T46o8Df0GJpfkl7T+Nbhnh WLkTuqBExs78sm5DN4ucQqCtFShhrBesR0+iq9FQ99L+IFAC14zfersfXeER Qum7S4n9LTw89yMCXWY/v3TmE/F5xe2t5fwWXayj2OU+BIrzR+F10S3obHl+ XTSyHhT7JeVS4p7ojD5ODwuZBcVyWrH4MRmdCuvqYq/+BsWot+Dxj0R0cgrp aosUgaLbpPJ87Vd0dGmXPLPoAuXS/SKFPeLosBO2eKl3EhR8+PBihyw6lD83 1UOGiLOGznpeM3RsdLqgwB4Fyv4Y5a1X2tGeaZZYE+4NytZz5hZlNWib2tVq XyGAHgbFandBFdo+zzI9kJJHT/+cX1oVG9q8F7Y//nYIPS11N7fH6KHtoCd5 ztQdPQVeq09HZqH1AeWFK9EX97h5UrfIUNGqLDZxfyoUPXaXR5j3C6B1c/ru f+3j6Lnd0dBqcA8t+RcOTBzbiB41zqo6o0G0sKx///zNXvRwKm9KMPmD5i7O cLmLveieZzsxvJSL5g8yw51JR9E97vO4wu85mvWEnB3+PUJ37dLixfbdaMq7 MUcPWY/uVwbUnh9TaHQcCHofloquxdrVqj2ZaLwsslr5oQC6xu+8s7ToRqN4 Qv6EcQq6uro0W7hPoKEsRuHiGU50fTp6pm7nRtQHJmqMmJmh6zb3JumIJ6i9 HOejwsGKzop8ttK0BNSuczS4Rb+Hzozf/8RSjfG16sv0aWM2dL5bf++2QDi+ Kn69r7FhLzqtJn/LmrOhRuLhgQ0mb9HJd+llW0A8qvZ5bnKY0UXH3Wu8t+qm 8IUx8dtIdB4dWv++lbEP40va1xU3ZLjRAdd5XS4avkh+P71tfSI6NujXDYWH o/LECOe6sRdozz2tFj6zCuUPTwmFpVLRtuiw6puMDcoVfH+IlragbVS27oue LMqZ76zdpMGHtq/jHdyzL0F+nWlhtXUCbSFHKlMdA1CWnOIs6fMYbVI2/Jxn pFGyUO4Z9tkTrbc5OZiiDVBSY+8zyUxB63m7W9ZfQlASlDI/rFKLVqkhRdIF I5RIBaonZHxHK1Px6IVTSvg8VJD1mtqJltCAFi6FWhSx79yyt/IAmhtOkR+R E1GYuWrlpGQMmrOX1K8GdqDwasfUjeFQNL8r3W8hsg0FmYeVi1IE0Gx2I+t4 8mbk30k64BDNi2Y20ZhNqteQu4Lr9oOsDjQdF27MZs3Cx69Tst0uH4n+6d2R /pmn+Oiz3vNOUycaNPIH1gd54+PlIbM3QXJoEF58U7P+JjIHPBwP715CffVi 2u+YzchYKklUdhZG/eaR93bvJZGeN96xcvIsarPfttxf3Id0rVedNd3OqPU8 12Pcmou0X1ccLvYVoNZAUmAkwglpkjeSH2/QRu1q17NDV+2R8nmlrb/fIr4a Qliq5wOS2GlhZsP8qOHR6Dw2loTEnNGL5vdmUD3xLSSK1wmJt/qXSH3OqK5I OsF6gBcJleVv+NUPotq2MPH3c3m892fi3qPcjKrOLVx+zuqI0108HtEkjy/x nzxuTSoi6hk3X5vgblQYhz0SPER851+M9ri+cgYVyuZdMfHOiOKrc2LyH0CF 8K2t/q/HEGlF8f2RLI/ykaY/OoOLCP+u9q1xUgblt98e35AUg7Bdaz42rdYC 2SZGv3PFCgQq3+7d416O0lTVGc1eFQQsHivxjbqKUt/Vp76nqiEgb8yjPPo1 Sm2/X+5+8hgBEiXTIXs/ovT4wUNM5rLw3yeUoU32RUn73SvmZcLwU8pcrSy3 EiWrKym2L7nweuzrbTmNPhTzrEn/OJuM167t6rIscygaiY9TbfXDa37FVR+l 16Aoy2ta9XU+vK5sWM+SoYoiDRWxSyIS8OzQqBYtrSS+zy7dNToYg5eb3vo1 3dqMAqHnO8QiEvHM4LFfdO0T5D7MJdWsrcczvvvc9nd8kHvpBo8CexZcu1XV fMZ/I1f0Qv2fQ0fhqvPuh1J2C3K6JqbWtknDxeAV99Zfh5CjKJdqy/kbT0SY hcIvBSN7Q/rvkiOxeMi5uW8u7DQ+0mJf8CqehEN+m1r4yU34WLNR04dfFA6m oeFm44L4mJIlte7kEOxrRRd31Fri433XjX0TTbALZ2FK0xxA5szl3qpNNrAx +3co3+87Mje/fVz60w6WcYEbDaLfI71Xy1JC9Tks7znsNK/7gfQUOVlT25+w PLL61sbki0h/aEanLNrjfpRRgGuUIdJ5PktfU1vAvTXpj3Q4O5CmxXVpr/4A zAWtY0o85pHSP3064NA8THgjpX5YWCFJrPDkI+tzuNW6RjW+pwxJLJ7zig+e 45b3VY6ruTeQ2BO648XuKdxi9XoZ+KMKiV62O7STfuPm4oqiTSrcSPixMWLv fXbc2EQvDnbbifcVUT27IyNx3Z9YwerDiAtxp1fXOuC6NI1DbXUm4hzeepoZ s0Cv02t2tcVbxGm3OBgmPoTeTnXPlp2nEMczORcQcB5XS3TcIrqkERv0qk// VBl0DhkpZtS0IyZm6/PM+UVoVgvdUNjoj6ju+wkW2UrQdHtRa+0VjKjivY9u RfZA83hH+0luGURFrWeEUz2gUSTDJKdjiygTp9Mz4Ry4VPzqrVr1DCIZZ67H Dz/CxUaOA5ncxog40nNS+081zviNJdtMWyOM1+lfXo4KzhyVUKbPWCGUce1a 8Gk9nB5Kvhf0XQehRZ6WHvwhOC0rQrn22ByhBj1PB1uzcWqiV+qmky9Cko8K /FqVDGXvqh6RTeMIPm99K0m1Bcdf3JwLqgpEQI2mVfhqHRxX7/YY3b4eAe+n nv6haOL49sUHDc79CHhWTq/0YQXuvDp0qnwbAhR59RbZL0KhS0ziw0cL+Gff qpjz9sDR34xND3r68DZdol5Nix/S8y/tUu7IwrdSeU5i3wpIZ6ttyLjCCd8k Y9aNnTWQvvfT5pbIVfh6ZY4JND/A4RHGN10bVvhqdq2/l6MNqR5JvmsHy+Az ci5fm2MIhybT6Eu7M+Gz1iOsW1oR4sfP7+k2GYLX4ujB7/qp2N/+5sAfXxd4 1aizJyylYf+9i0ab2U7BK5B3t4zuO4jFHC5PMOeF14FqxwRpSezbvkL5T1Mw Xhm7cj118Mfec2fl+3PV4TFQ47TxwXHs8jZZIn92hftWy30u/R7YdVb9pyPf Y7yY9FK+K6+MXavFjWe/WOJF+e/zWtdlsdM9Q9jh9Bq8ePB+1cvpLgi+eSrd kByA500uGpNpJeB/s+kkN3kebu/iWN2Z14NfWEa1RlMXbvbH87d/MQJfQXdE oroF3DR2SsfoWGL7uP/zj7w5cGNPiXzmVgJeoyPn5jVX45lDF1OoXB54V3SZ 7j1JwTOtF6TIkRpsi22+cMA3EM8kbTxyQt9iK6OQ86v8ebhOrLNkM2/EVt9o Pf/qz3CtyX9fknEOW+XqTHavGoRrYiz/K1MJbBk8+kYqeQVcX9TcTBbzxBbP kYubifvH9dbB1WL/FP4D93iiOA== "]]}, { Hue[0.9060679774997897, 0.6, 0.6], RGBColor[0, 0, 1], AbsoluteThickness[2], Line[CompressedData[" 1:eJwd2Ak0VV0UAOBoNqUyRJMhhBJSktgpESpkSjJFoUgZi5CSDCEkIjJPmT1T hsOToRDJGCWkN3jGUKb6z/3Xaq3Wt+59996zz977nOOi41XBa2vWrGHG//qJ /2Hq379/y1wDyi0y93olldv/959Xn5U7slp32gVy/+85SqBy103Gxs1GBv97 sk5Fud/1ZbFYZ8P/HpN1VB6qvrX7ReXV/90blKY86uMRtTb13f8mT/QoU+ae OW4/rvC/U0O9lSd09pmeU6T8b3cuGeWZKSXHZ74v/7dk/zrlBb1NJwfZ1Qj/ LVMfUl5+/6PNban3f2816AQm1sunrFh2EF7ljf8A66jPC0Y58ggv3+39Biy8 FjrUX3TCf2bnNwCn+pMLYvKPCf8+EXsYtonyzrsIHiE8v7OFGbgUX/1m51Un POuWewJ4Qq990sw9S3jq4F5b4BPx9Jvt+kR4wtK3GPhdzqhfuMlEeNy61w92 dt1VOTmzifBP8rcPsKe1Ya/QQiPhH1uvMIPAYTuS7M5AwsM8qqIgyMrvHStt QfiLMHc5CA2WK/qs/O/ef5q8IGylSQ79xUK4uyqQHYQn4q2/Zawj3PGZvQVE 2CfrokxdCDccy2QGsQfmxzicAwjX/VQxgf37WdlOKqcQrrFqUYL9XVYCCvL/ x6e0/s1fkFBM0K44dZlwaq1tGBw8K6Sm55BLONnyyCgczJySLNn9/3hezx4v BymWlW1S2ccIx46qbgSpzp/uwTnFhMPm9z8FaYXj5larLwi72XfNgszSIZJu xf/54tR/JQ9kj8SXGlo+IuwotSMEZO90SK0mvSJsE5KvBrKMp0VOPr8JG21b dYfD47mCdi2mhKWfy67A0W0zmbH65oQPzm13gKNHY1z7+n8SltS6MwFHL9/t zdwTRFjk+/EAOJpMaQtq+f86f8LQBMgfDfjsUJlAmNnQ1Q6O2Ul+2PmAmM+/ 798XRMPxv29Noh98JdwweF8YFCX0OlJFifj8rRsJdQJFw8MFBvEPCFc0DTNA Ma/ZXY0pmXDmbGIEnLC6WCdcQtTPX7+k8N2g9EU3frBblrA0R1wmnPTNrUkt J/L5r3hetDacTHhVXi/5jbDwMVEmOFlZc4OdcYEwzwY0BScX4gwNjQuxV5cC /k2Cyq2GI2duEPW2WtNTpQun7CR4z3UR412VWe04BKoBo1un6GaE9wtsXQDV nOGI+B88hPfsTfgNqp/2SrxqIeK3uplU8ALO8BubJAdIYq8M7WdMwpn8HhZO jzjCDxs+qIAaxcB2gaGDvZzZYqcPGsHVlmGVJwnHhpA3g0bJwz9/fGmEnwpe FQGNoadfmwSUCd96u9UCNOUcL/zb3ENY5jV9EjSHPQ/TQnZiL+XmkAbhnAZX mN1WIl8X731kqwJt3aSPHD1EfBetr9/bBdp+veNCm4nxL14ozzkO2uWW7x51 3CMs5P9BFXQ4FWwN+UWw/zTmL8SCjsc59Kz9D+E1VywkQNfwbXdCHz/2gkxC ZTXoydb8exkiTZjj7bU80NNvtutSp2LPjxvTroCeO4ek+mdbwim7n70HvSod Cxsnoh7n2R4HyIK+RqWr2BNd7F8Nh/++B4PbId3pvkT/mUauHt5gNGMcv/sw kU/TgdLRknBpZ6tS9VEpwhclXnHCJbWg3aMODthTwx0xQ3DpFa14Vwsf9uTv F/0OYHxenQlJfsBmLPnwaMPlql+fzgyKYVPVt3xWBNNBXp21LNuxKXNHnkSA GSfHjZCDhoQTFYYMwEzVfMaieQb759zHJDEwy+N6u0W+CXssrPSuBpg/7skb ClmPPRKAhp+DRUpaddK/fuyB6x63EuFqsFGRV9wW7C8/M7aQ4OqbeKWvR4n+ /+Uat1oXXG3lnzo+O4TdfyVhgypYsddq7ewi7u89UrDqAlaR1TVTQDyvM4gr gA2sswdDn52/hd0UEJA0ATabXnSoRSdiN3YUPzoANgcX2Hi/EfnfyPPk10+w 0Qsfi4h5hv0ujmM5DWxeP1hm2muEXef/1vEy2B5Xj+JdIvrZ22GjUF6w82xv Uo8h+u8bayu7QrCXKf+p+yYDO1vn1w5FsDd3Iy3rTGFnHWeWOQD2Id75FSuh 2BlMt8e+gj3dkSWqNAw72Vp9ZQQcMr5lKn5ewo5x5EsaBEeZ68l1bnbYvsd9 F0bgjoqhC/PoGLaPR07ee7hjTrqj01WH7UXKSl8Hd7zVu19Sifnx4CbXNcOd Kk7NQGobtlPgcuZFcDoue76lSQj7qkireRQ4q3AKbFrPhq3o1I7r0vU+84ak skHsY1WBp76Ca1L7tdWZ69hHVvKWl8C1aUjutySxnkqblz3+AG5cTb/G/ZOw 9+UwWgvArfDDsG2OCTbr6Wavi+C+uMa70wevp3/b1TgKbcEDZQhMT6Zitxiv ln8Fj/HQHs6MYOwmS6aiSfDkrfGI0LLHRurxY3zgefu3jU4eL3aekxlfG9wX HewQ5HqCHcTdMSQIXonfjam9OF5/j8gaTzDDA9uUYMuxeOxDmtRdyvDgUZg+ ywRxXVxnw67P8CAhY39/YS327j0z2zrhQfcV7hNMeD37u7ZZZzQYfFVHfh7L xvFZbWPrbJ6EhwfSzv+4iud79fzZ59ezwE9w13iN323s0+nX1DeBn+qIwPBi K7bCcF+ZIPjZ/kwJUnDDFpmqEugEv8L8c6/WaMHUyopxets6eKym5br2HcJO miHx6oD//e3N3T8FYGq5VVyymhMCd8vur+DhwK4W71H4BoEajeulji9j585z VL2GQLdMH087f+xQ6qGnAxD4yeTWXiPc75cvSNYnyENQUIC6dz3uP0t1ziTn EnjKdu/m7cPWMLXo8o5lDCDs4jv65dBMbNOB9oXPEBao8jhCGO9nFtVSIgw2 Q1jtzrlc5VJsXuWiK7LwjNfNole1Bab+kPyYBzLhWcCT8j32eDy/v51m/rcI 4c6/PF3+4fqcH7vT+u49RDpBwDgV18s8eY/kSDhERi5/qhE9jJ2g7fTWDiJL ZsrunvLENjjOwq8HkUvBHe45eD2eq/pnLjEHz/0fPec7LQhTv5xK5+3vQVRW 99f7gbhfTttSfPMDIEag/kLgZryeTh+VXLvtD8Sop0xFl1dhM3848/orxNyq KyyiT8DUVOz2drQGYqpLVvbueQNTk7XRPSop8NIs2Fnq6GmYYoy7OCm+htgc BZOjRgswRc0I+JZvAvEeUkqr3jj+VJO6p7oFEJ91zSnOcQ57ywZZhxSI7xvz ExxchCmKU4bm6UuQcKzufeIjXJ8/D8606gVBwvJ8TaiCL0yN3vnkspQDiWd1 g3d74/z9yv1TGfVA0tLERFsNHs9gnGPLlCsk84248snjfjm4V2fcMhaSFTbr ZGt9hKkBobVWr65DsvsUW/80jl//tieds2KQ/Eew09cmAqa6Yhs60swhldlM QeklA5v5nzxVB1L3vaBvOY73Y5/tDmYGlkCq+gaWwFhXmOo8dEGtWRtSnwbE ZxYVwFR70heJEQ5I4xfd4bMex/MDX+EtmXRIh8V/eiTcP96b9pVGLEH6tbIX Ajn7YKr5tZejy29ID84PCV6uhKmmnXu4/8pDep92GG5qMFU/+3F26SZkuBhe edv+F6aqd0lrDfpAZlmhU4cO7m+5229U3HWGNw4cS1tncT/M2XR5boYd3kTf rza3fg9T2UsbPzC2wxuy0JiKCO7HmZ9vfzl0A3J27OjptMb7wVTTW6rzPyGn Me/YvXJcP7ENh4PtDkKeVKSOvd53mHrpe3yDAjPkXYkYKhTH/TBG4ZJSuAHk BbVK3AveC1NR8flHb5yFPApjTyW1HqaeHQlY0NCG/NQRu5TvojDlF51yIDwB Cp53O/dk4/p9tKXY5noAFOSmSsxI4PXf99GuL2zXoKAxrPa9Md5Pe5s0S0rL QcGf6pt3xXC9uH/m2uZ0DQrN7rxVitCDKbu2pkP6AEWHZFtso/B+QeOZ9+Cr CSge805fvVwOU+rWUsbB4kBikl86rY/3Y2dkcpLNDIG0m4WzXxz315MV/a8j I4Gk/7uzTxnHT97rvCqnI5Aa5swzNHA/Fa7f66loDCU5KvMq3cMwJXgg9L7p VSh5f2vG4hCunz2hXbohfVDys3CP/mHcz/mUUk2MqqFU0JlqoIP3TxynIvy8 aqE0mj70oVEFJhcGbp41EYeyAP2vrXX+MPnrQ17CjUAoS8+r9Ra5CZPThe/Y vu6HsoYd5skf8f10G+GTfmugnJlPotV9D0x+tR+zuuAC5fff9Qad2QCTdT3c 7U0cUOFi8t5nLg8mH+XxeKYzQ6VttaNHihlM+uxSctNegcqgSuNuzgsw6eFt L6fSBZU5pa51K9dh8s6e6MauWKicTnRjbQ6HSdPWw0FrzkDV3f2Cf+RfwqRc WzmF/A+qH++WIa0dhMlDLuf3FTNBdboz45KQJ0xKsI9KavyG6qbSzs4fujC5 l++bbcYk1Gxe0fteygSTmyJzhoNioSbE6qXYHn2Y6F83L/FFH1Cob30u9yWY 6OyRWRvZACiPuTBewBImWl++/+HXAqjt8jtNh6cwgX4vh/CPQu36hrM510pg In3L17cRXlB7aqilVEsCJl47e4ntGIFaXarGTr7jMBHz3uTItxtQa9FzzYrl AUwEa3VcoX2DWm8LS58QH5hwfFPEXvcQasu5rYxTRmDCNslAyDAWahvlvmWn ecCEZeDptzOdUNt1ONExvAwm9KR3CMFaqJ1qKVSBKpg48sVk74abUCdyYSDK bQAYf7KmWw0FoC7gx6ugTdeAMaP9SuvMP6iLbCtCTm+AQaPNCdtGQ11C6FOv zFRgfFn56c//HeqKn5cVJx4GRlV8nvCrVqgbeL0n4nghMEj0MP9Mf6gbk/Wb 3XIEGLkH3vi110PdZMz6LmNFYMQ/owbXVgN5Tc/DwU2GwPAamP/8qAnIwuxZ urevAMO1W2RozAfIknuE0lhuAMPh3YWWvl4gyy5zNzKZAcPUb5F5tgbIp3iT ylP5gWFgWLxXgg5kDYM+w1xHYJzf01sdPwVkHdN39x7ZAuNExJei7RZANm1m 8lqfAww55T/bmvB16/0L5Q/IwJAc/ssy+w/IN3To56nngLGTXdO6ZB7Irr8E Hp8sBca2qJ5NrItA9rTn3KR0DBgs3F0NLp5AfpBl1KT2EMb/rNSEfqsFctAt o/pqOoxPW82vT5AFcuhck20aN4xT6o/cOJcA5MgTf4+1TcL4EH+G8fpiIEer mRT95IXxnhvOUq1uQI7jPPmbeQDG24rIm647ADkhlrPnrRGMv/tVXbeHF8hJ o4fG5G7AeNXBZzP2DUBOHV/3RDoQxostrk8EZwI5o+A382ojjGc/vVnPkAdy ttydZ1e1YDypsFUxuhLIOS7fbR0DYDymo6TTTRXIeXcKu0+Kw3gYzbDyfj+Q CyQMVeJVYNx/+etgvRiQCxNOnsX74nHvTR5tD/D3F7X+eJf6GMZdt5h+ngEg F5e8HXqEbc9ZNirEDmTSpRMCzQowbsX2NiYtCLv4h5fYBhi/vDbmuLQSdrPs teOvYVxn/lHx7ofYz9O7DvTCuPpIQfjgJPaOBjNpFhhXbtFbf9YbP1+fS7mJ FcaP5L/uH23G71fbdb23BcYPhLW6r0vD3ztpF/TEGMaF7TkGxmyAnH8uSGrg EYzzq8a/SlIDcq7FlrK9YzC+lS9/iH8ZyG/2hzqxbYPxjeNeRh9NgJyZFp+e 8QLof98qq4UwAzmtpzeRzgX0eX9JZ9EMICdX9tdwmQOdoe0tvvoUyK/1Ve/W DgC9f0CRVtmI5y9+LIj3ItDbe1uBir8nYvJ677VIoDd0Xg8f2gXkkNHzh1gV gF7ZYjh+8CqQA+7LSVqaAL2QTJtccQLyw/IqTuEeoGdU2HfK4vy5HxPYv04Y 6PH5Bw28vgPZbae6etYNoAe+TOz26QOy7SYdzafPge4TOtPrtwHIFk4bS+J8 gO7qV+We+wPIl7z8gweygG7p9M+l3API6nepiycKga5gxeu1guMtsFx/2uM8 0A9dY7+miOuF5xb30wNGQBe5sfH1OWcgsz745K/8GehbvfVi4rdC3dyT4y8C 2YC+MVSLc04M6qgeH6noN9BWkyNOhnhB3SBHnP0BA6DR+q/E/doGdWSesXm+ bUAbWvG36MiBOlKwa5MOK9B6RM4znWmGuvREy+tu64FGDvirOPQS6gLfZFva MwEtLpnV22EG6rS0yErnLwItfPloVxr+/fHG9xQDNqAFXInO7TGAOvFRF4vp RqC5KpzWdVmCuo3MFbksckDTtjoSpdwKtVXDFie4/gFNbSNTAO9pqM26Uzzn cwNoJ0pCT9ER1Ealn4wtqgWahNz+iTs+UGu/WiDz+DDQ1tcypbTXQS2vU47U Z3egrpBd+b/XQC2TjE184mWg/urkj2iMAdQtfTX2UDVQR/jFh3etArpba1OS LQ9UZODp/lYIasq6E5fWlQH1fllZoBU/VPP8LboU/h2oLl0VwruioWqYb3Im ygyoDsyF/s75UJWd2KH/3RSophHuK+RaqFL8Xepl6gpUeNLkzHIXKo0Wfmqf /QLUY7LT8b3XoXJ33NTSWfw86emv7dGi8HakIkvwXzdQhdK+NDdcg7c3r+/O kh4H6oYlVgUqXk/dSEOHvFKAukZlQ9u+z1BxTJftwykFoCy+unKuXwvKF10M bps2AoXx7GN3egCUexg1Cd2sB8pn16K85RtQ5tb0T0haByhpejeG0oOh5Mqm CKZGU6C8/vVVQPYilPAyieq9sAFK7Jt9e/lPAulTYkUvTzFQnpnl7a1lAtKZ rxD2agYo9wcnpkWuQLGE/09Xrl9AuSt/1i9BAIpGZh9Fut4AinPW5aUt0VAU x8MzW/8bKDe6NxqwsEMRS0g1v9AAUC6foz4ZF4SCn54vzzZqAsXQxvkGPjcX vBp1dAhyAMrFWNMmvyko0ON67rbxGlC0NCINejZBvlfZdlUrA6CoN6y6K4lC HnXcVWyRCyiqJuvmTu+CPL3636Q4KlCU2vf+ve0JufudGIYaO4ByPE9L+/Yr yIm4KFommQoU+fTTj70o8GaZsm3TGTegyHyvvdlmA9kfT4ddZ5oFitiD+oSg eMi8fUpSz2kJKCIXRjta0yBjxC+J8gM/X1i24Uj6O8jQT63bczUKKHsVu7a3 3oL0Y0+l23W2A2W35TopyiykZV+Opem8AcrOuKU62wVI28X1vWRKFyg79BQe f1CAlH8mYslnLwKFp91H6TEZUm5PKoy76wGF29L/nkcBJI94arKT9YHCtfmc 7aUoSNZf/1Vtvy9QtjW2xXDrQFJDuLu+oBRQtsauX3C+CEnygrHWO94ChfPh 9KfHGZCYWdG4xHUeKFt8A/pkVCCR39Rz8F4QUDiimvnf9MPrHQI3VylGQGFH mSx/5CF+Ofv7l5+fgcL2T9DL/B+8GrI8e8uPA1v/QCY+V8XVaz4jac4BhbWm TuzzG4jNcEgx2auIrdz9e+kIvAz+dC0u4zJQWLosPfXweez2/XKOKpyPLD7G d435IdrAze1R9wI2FPPf2QYvjje491prY3NfnTURgSiB2yHv+aSx11xZeGEP zzd4+3WyE/evef6oyQ0iGAvCS/WHiftXTHfJQfjnbwcKpv2xT/rn5HnBs0ql y/G7xrAfiKwdY4EwNbnGqUlW4nuaTT5rQwjP74matmniey25Y85AEPXTfcOU HOyqb0tVlyGg8mO5Hyc/Hq+OjFJoDfiHrXzpy9uH/Uft3kMAv2t2HBddZHC8 StiKg5jg4QmB28yn8Xxz+N+57CYMD7ikOQpjcDy22Fuq61SB54BGNwepEM/H 9ebqSn1wD+elGVnj+d/qGml/XgycNX7s7u5uwfMZk2M/6wC3WJ8dNJWuAsr2 9r9nzv2Ba4Fv8zMyE3F+ePwqePQHTtluohs5vwMK76Sdfe5ppBw39COHBceX z7VKb84IXXJ+pVWt0AyUXSg62/Ixsp8WG3TYfBooe3wnCqKrkNPrn64SDbVA ETCq4vxli9zqa91vc1wByj4lw+5CFeT9T2LHkkskUETPMc7bAfINVu13dV4P lP2OT9VWdqJHz5vNY72FgXJgwv2djBp6krTzXrslzs9DZ59Q+QAFpnwumeGO w/VUKtkeP42CU6VXzvj3A+Voc5EgIw2FxefMFl/B+avSJMPe14IiK+Tpw6Sj uH5/Xeo9LIaeN5h+VdbdBJSzcgKi5Usoqp1xZxcz7k8XZvs4Y3JQ9Pf91/3v 7AKKqXmHZkAnimNcFdSO4QOKpeRgbMlD9Gp8u4LLJAUo11hZo5yuoHjKn0Zt NU+gODBv2L7rFXo9eLbw1D0Aildr+SHyIZTUK2Hz3RzP38MD4jFDtShZe83f lwNtQPGP55623YCSG77Y+QfPAyWsyKc83QulFATR0i/j/E5OM5Z9K4PS7r2M vCSE8ysjyGbY4QtKoym5p7ObASXHR1jjowdKN2rvnajpAUrpi7yJZ5woQ6Z0 kHvkOFBa3K1zPiujzD6dXOfGeKB0fN6/cVAVZYFEGy0E9/OeE1n8eWdRVurI 3d/vzIEyLP8jPvUhyrYfZbmQ/Qgov5sPPjPejd5M/snMvFsGlNWgj9zBPSjn XOgZl4o+oK41FnazmEI5mXPSIR2BQN3CO2LDzYtyzSQ9vY23A1WM53JS8x+U 91ZEPL3+ElAPHjpPKq1F+Rz8Wwazh4F6WHeATVwI5Vt0L+Xz6OL1q6iY6lKM Cpi0yzydBYF6aeCHg9MxVBBXJBurzwPUp890PU/oosKi1I+3734CakRRQ9HO QlTYEbM5RscIqDH9oztHaKhwco30hpO+eGt1REmzaysqEjv0eKPuOqDW8Dvt O/ISFUWyRzkbcwH13RVZGd/LqCjnjWqnHA2oHxIp9ldjUVEDYk33SgVqr6yJ sfhBVLSgQc08ogHUacd4pTIGKtaZt93X5A3UhXoFg9BAVHz9nMyOoytAXd0h kslfg4o9d74dOCEOtM0NQjbvL6HiFNFPHgcVgMa5q82elw0Vl1qdM2t/DDQe l9UhcxNU/J7feh2PCtCERfdf/dKPihlLDwJ0OIAm7l3LN+OAiv/ui58YuAW0 Q707Ii9UIhJHS8AK5Sjen/hrlck8RSSpCOnFx1VAM+iPFI2cRiRbrrKM5yeA dkVyg43JekRylWdvXFwG2lWPRkHds4jkO+BTlISvO3J5rO0yRaSXuaTCmyx4 f2TGMz9qiUipX5m06kWA5pmm+0dCCpHyw+9H7l/E+ynJxVCRDYhUHwKCVg5A C725/aCeGSK19kgLHWkB2vOMfb8F7yNSd0YKlwG+Hvt9Q9fGzYj0jdlNtHMN 0JK4w5UUaIg0RgnmdTIHWoZ6vLLoc0SaMGriFwgGWq7bOtfuIkSa099WK9kG tIqm81P+vahkzVzwPa67QEO0n6aHeFDJhtiXiUMngda4Sc3kgDoqYe24Z+V7 HmitQpr3J2+iEs5ooVyffKB1yrdP602iEq6pZzINW4HWd5bkHWSASnZ8QToy gUD7pt/zdOAdKtllnL8ipA60H1e4d9t1oZK9DtbJc8xAo5tpt3eHoRIhnpFt j68Abdrk+nAXGZXsMzpkXoW/f0FP8RCpGZWIHjJo2y4EtJUzeXIfBlGJWKJF 4aE2oDPLJrN2HkAl+9+Ymga7AH0T36KjPH6fuK7JeslaoLMvR1foe2JH3kjB +U7f3mvxI0oI2ylhlCUV6Hy5CsHhu/Dvp9nW0bcCfa/5e9YHwtjbpGpqlvH+ m+32QkElfn+f/S28jtElivmUOXegEpHTbSc8W4AurZd9/SAHKhE2uOzwxhbo RybZn6wpRiWCHHsuZH4BuuLDA1qZt1DJHsd9u333AV1ly/TsNvz7nffc5xRj ga4WraYZuwbHS0q02CMZ6Od28JbF2eN4hipN6CgCXTdC98CvLBzv2JaOsxuB brR+6JD7NCph0x/alsUB9CtOeV1meHwbq/2/zjzA54u+3NrYX6iEubvzbdh6 oNvIf9gvlYxIqwmdnl0LQL8zzLtG5iMizaofXMytALq7pGj8tnhEYuzPFop7 DPT7t7axea7i/EH8I+n4vOL/7eTbS1yI1LeF/6XVGqA/ZbW576mBSB0f3utt 0QF6uIwMz0NfRHoPOeu78PfEXb+X082CSBXGGgbx+HyU6Prdql4FkQrXCLTW pQE9zaviWvB5RMq0vtZejM9v+W7RFmelEemF3c3K9+FAr2edredwRiTHh6kb W38Avelrb9OrN4h0TXZ/hWww0FszfvKofkKkyxn2JxrcgN6zz0qi8B4iqVLO TNodAzq15thoLSsi8fS9ylbuB/qETs2rBhIisXS6TzxWBfrMwClvhWO43mN3 ryRfAPpSn7zV5G5UPPai1O4TwDjbnTCZHjoqLrQ4IvHOBsY566uyrjjj/jIa 8uiYL4xzs/etb/FAxS9OmHPh/cL47sDe54svUbGH077VniwYlxLctDcyFBWr bOxNXNsA4+fb3u76aYWKmpKdPFbxeVh39ujzDgoqKg1fZ1OJz/uG7FeOGQqg ojSzrQz5qzBuJlb53qgRFT2MrjzPh8/rDhMhx3WNUZFimuXveUsYD34XXrjD CBVmrZkWO0H8fcBIfvPYSVT44hw0DAjDeMQwu5dTKip89Hhn0gtmGH/55Z4E tKBCU/KnsAM1MJ5x7UnL31+ocKvf3236x2C8lsJMW09FBW4duXt018B4/azC eevHqMDq4p8R8XUw3jhvvTewHRVof+w3tsHn/9bRtk0Ktahgf8kvteUBGO+7 evMBSRTlk9J1Qi5VwfjEr91fRBZQnkds09i6OGBsb9odOZCLclizdbu7rgOD u6mkVvgqekNp4jo74gIMXvKAyKAhelM/J87+3AYYOzNXAjYMoDf3fX2UNZqB IXzk+9N6EZQ96Z5RKF8MDJkrGlK7C1BWj/LV/teXgHGYVbh5Ow1lFb/Sq9Wm AUOu5LTJIAvKCt/GbRbjCQz5ZS+K+grKOqcW+DDBABjKulz0zEaUWf91LzXN FxiaEnhvz4cyyjd5MEvh79GKeKQQ5IEyolk1m866A+PcQtmJ8hMow03is5vN K2BoF/MZvdRGGXK1i2lZ+H36K0PFCgdQerF2enfXRWCYfWW7yKWJ0koFukD/ KTBub+WUGmRHKZ+f0j+WjgDjzp4MxYl7KIW08Vvk2AwwnPZ37tskj1KeZ/ls U54HhsthNq07YyjF0GKRjW8VGHcFJDhbU1DyQNL3+CH8fJ9rXmfSGlDShKN1 mgYdGMEDgBaaUKLUjpSAj6HAeBqim2pqiBK32+01X2sNjBAlzu+rL9DrGcRm NDMHjNAoUv35q+h1gOe9UuVGYIQfMLl4fyNKqPDwMw39B4yoeUlRKUcUL24d PK22GRgJgpIiH/JRLJxzu3hEATt0o8yHnyiWmz47cCscezEwf18deslo4EzS 2QaM160RgU4P0cs4SbW1L02BkWS1b5mlDMUsVQiUulKBkWpQaPzsDop+lzax fcoMGFl2Rn8VslDUw+2dGjY92EVydcXxKMq8IHwg6zv2kliDgCOKUvJVnE7K Bkb2E5OVHTvQ88Xqi8duXAXGm2gtc4Ht6LnLy5cDm8KAkRv2KnrXbRTp/EZV tyIYGAW/xNn0RVF41P2tex6rAKNQqP0S4yIKv5etfi9bElv3W4mYAwo3Y6bw zIVg58G8pAEKF5P1tpu+C4wiC+UPyuHoWaXf4GltdWAUZ+euSqWjsN6gtGEL VWCU/LjQljuHnnbax30PlwdG6TrV9Adi6GlqiNDaP0nYwl0tDv3oqdsc9V+S CLZl8x9XQE93xSSuXrqG3S+8JtIVBd8USc0QxfEpK00u47+Ogrj+lhr9dQVG hdzprg4F9OTl5n23v3zD1rqrjxLRk9v7fgmcYsW+eiVA+zR6ou5///gDPH8V YceMzHYi/987luR5CY9d/rneFvkbO946S7oMjLd+EpSlBvRY4qFjHDcef2WE ul58DXq4bGlyMOcrdtLZaNcu9PCL9dihtzjfKwu4O7Xk0MOKJMkL2RrYbTyL ftLo4V2y0yWTtcCoWtckeI4D+S7Gl6WORWDfdFzwfoF819uczYrE+VDN9/dh fRzyftx0y2oGz0+1MOvCii/y1j/gcY6GsCVXOAu7kbfQ8CtNpwvYSo/z9z1C XnXH99smO2Kbny2QtEBeTC+KzU+XYMd/adE8iTyfRTw0evEYGDWbLaKOhaG7 PywPJPSdwd5yzaexE92tHFYsUtmNzW04HHgD3Y1MHstbU4AtuGbjpnXo7mma jR8zzr8aeafnWpbIPcP9U14hjn+NJRtHyWnk5qFSdVmxGjvT3+6IGXLRGtv4 urANO2egLYiKXPbzvjI66Y1dKDgnsQG5rAsUL/kmjV3ha1qSjJxrxNwX7pRh v4/QfjGJnOXOsDMUh7EpYt0hPshJMuPj2PQ6YCA+4yN8U+i26rnlyA+4P6Jd ghX28ui2WPRN6V527D3fnbqC0G1WLocfBXbY+1Q4REOQY5pGVMgGP2ypiBA3 HnSrWSJPolYXWyXCwfEGctjb87RRDscLWX4UWtBDN7bZGkbcFsK2CrO9ko7s xo6+myrF9YCuacaf7kZ25XpOWvQn2Lb54twjyM7c9davSdyvkONhptJsZFt4 3rr8qDa259EEmV5kc3WgySW0Fjsso0/vObJe2kaO2seP/exDVmc2su4mHTC9 aIwdTguVm0XWhc9jNMRwPaDnOxvKbiHrG5z1aRScPyhGz0LUAVl9ped8SDHB TuSX+7sBXe14f/KAxG3sXIOoN9XI4vvd+dRAnE8ob/2p4t3IokGiUrtTn3BR xUYjZJG9KWtDBp4fVLBxD8cpZOGiPtTTLYtd9CL4hyCyYGllyZ4n3l9mUOf9 CJn5mPkWezzARj4N03rIJPSgVOgvX8Jz/W0HkYllNOvIp3jsWlvn383I5IjG xjGleuw6rQvS+9Dlr4+C8LEVu37NzsIf6LKMmrigPzd2o/hv43vo0tjrWJfo OuyW2I4fi8jQu2SgSXKa8JS5fDYyNDp5v8w9Grv1VAO1HRlKc+qEO5IJ/zzg bYMMRrxyquUPY3/c27qdExloPhQTlcP9HXVYvmApR/qirZoqwrhfoq6jA7v3 oovs5uuUzSMJO2hbCSLdCZL+7FZifF0p61Wjke5HFel9QcrY3Wwn5Y2Q7rM1 TLKnEwj3KLikIV2ejeGyI2+xezV1KdNIR5KR7Ot2GrufrMJ7A51bVOkLiiwn PMp8wgOde9/yclkjFfvL2kt2mehcbMqO+e9E/L6cen9eHJ1TUtATiaMTrhq5 JIO0Hs/9/eeK+xEaeM2WsANpiigzez9bg/1V+PxwJVKPHhP6MFtJWGH9giFS v6P8b6mujPAF911dSF2z78CWZGnCdwMU2ZHa38bOvl3+hN97X1ZBanZBB/UY eD1C38xdh1+iM5q6TS9NprCHLKgc8ej0Uc1Caw1Dwo4bur+h07yORXUGM4Tv /7nuhU79aVSpdiO+dyjGUOQAOlW14cN78UeE21jvL6JTqq1zDmNEvn2X+syX g1TMJWL29TER7pWKNUZww9Br5cpewt8TpuYRyI+wpzTrEabNsJkiWF+TpjxL 1O/3lRM7HZBysu2PRE4f7OG97oOjSGnIOS71zRnCFl0eS+iEzdxpkUki/4c/ mVVaI4V8U0sT1zDCfUfxeqnwMIGu0U7kz/C3+QUzpGAoZd0fqEqYcch5CR37 e4ST9OAY9sj6SOhBx3Q7U16d+0hYziKZF8lvGMw2c91C+NEv8g8kl/qeg2ny KeEA84NTSO5BZ/PHNqI/jTytPHkHyZnuFGdjI/J7JEpN+jyS47kuuv3XH8Jp OSNq6HBwv67WFRHC9dRAbyTr20feyL6V8G/tKl8kHf2I3TV8F+HFpc2pSPp+ wB/27UT+jqzEFfMhacu3CDSI+I4yNQQlI+kDiY0Za4n4jbKWqsmhQwHftike ZyG8RyjtDDr4uyC6jonIx1GlVtM9SJJTjKVwVI2wysWTP5FEucONDUnmhFXr nGqQhGWHiLtXP2Ets/XFSLxs0MDW8gRho9drm9H+27mv5zwVCdvnmfgi0W1n r84O3yTsqMWsjUTI936tlRYnfKeL0oZEnFu3V3bGEXYretyM9vXXNRv0SBH2 Sf5ui4SL/FzEbv8mHFqZuIIEnwvsMD1xi3DEGuYOJMj989lVA6J+RqN4BPOR QJz8tdWz/48vti7PDe21EDV/okolHG/S/h7t8f7Stb/k/+uvP+0YQrtThjcZ j2wknCwcaY92tbPGteQT+TeaanBAC+1aI+XCpGr6H2zYD1c= "]]}}}, { Axes -> True, AxesOrigin -> {0, 0}, BaseStyle -> {FontFamily -> "Helvetica", FontSize -> 12}, Epilog -> { AbsolutePointSize[6], { RGBColor[1, 0, 0], Point[{0.45457084255988833`, 0.44889155241493117`}]}, Point[{0.9999999999634788, 3.353011945850219*^-6}], Point[{0.999999999964213, 3.2416898475341834`*^-6}], RGBColor[0.5, 0, 0.5], Text["Z", Scaled[{0.1, 0.85}]], RGBColor[0, 0, 1], Text["\!\(\*SubscriptBox[\(Z\), \(\"f\"\)]\)", Scaled[{0.2, 0.85}]], AbsolutePointSize[6]}, Frame -> True, FrameLabel -> { "Re Z/\!\(\*SubscriptBox[\(R\), \(\"p\"\)]\)", "- Im Z/\!\(\*SubscriptBox[\(R\), \(\"p\"\)]\)"}, FrameTicks -> {{-1, 0, 1}, {0, 1}, None, None}, ImageSize -> {250, 250}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {Automatic, Automatic}}], {400., -400.}, ImageScaled[{0.5, 0.5}], {250, 250}]}}, {}}, ImageSize -> 500, PlotRangePadding -> {6, 5}, ContentSelectable -> True, ImageSize -> 500], $CellContext`if[ Pattern[$CellContext`V, Blank[]]] := -(((((( 2 $CellContext`F) $CellContext`kd) $CellContext`\ \[CapitalGamma]) $CellContext`Kr1[$CellContext`V]) \ $CellContext`Kr2[$CellContext`V])/($CellContext`kd \ $CellContext`Kr1[$CellContext`V] + $CellContext`kd \ $CellContext`Kr2[$CellContext`V] + $CellContext`Kr1[$CellContext`V] \ $CellContext`Kr2[$CellContext`V])), $CellContext`Vmin = -0.5, \ $CellContext`Vmax = 0.3, $CellContext`monStyle = { FontFamily -> "Helvetica", FontSize -> 12}, $CellContext`\[Theta]s[ Pattern[$CellContext`V, Blank[]]] := ($CellContext`kd \ $CellContext`Kr2[$CellContext`V])/($CellContext`kd \ $CellContext`Kr1[$CellContext`V] + $CellContext`kd \ $CellContext`Kr2[$CellContext`V] + $CellContext`Kr1[$CellContext`V] \ $CellContext`Kr2[$CellContext`V]), $CellContext`\[Theta]A[ Pattern[$CellContext`V, Blank[]]] := ($CellContext`kd \ $CellContext`Kr1[$CellContext`V])/($CellContext`kd \ $CellContext`Kr1[$CellContext`V] + $CellContext`kd \ $CellContext`Kr2[$CellContext`V] + $CellContext`Kr1[$CellContext`V] \ $CellContext`Kr2[$CellContext`V]), $CellContext`\[Theta]A2[ Pattern[$CellContext`V, Blank[]]] := ($CellContext`Kr1[$CellContext`V] \ $CellContext`Kr2[$CellContext`V])/($CellContext`kd \ $CellContext`Kr1[$CellContext`V] + $CellContext`kd \ $CellContext`Kr2[$CellContext`V] + $CellContext`Kr1[$CellContext`V] \ $CellContext`Kr2[$CellContext`V]), $CellContext`lHue = { RGBColor[0, 0, 1], RGBColor[0.5, 0, 0.5], Hue[0.1421359549995791, 0.6, 0.6], Hue[0.37820393249936934`, 0.6, 0.6], Hue[0.6142719099991583, 0.6, 0.6]}}; ($CellContext`Kr1[ Pattern[$CellContext`V$, Blank[]]] := $CellContext`kr1 Exp[((-$CellContext`ar1$$) $CellContext`f) $CellContext`V$]; \ $CellContext`Kr2[ Pattern[$CellContext`V$, Blank[]]] := $CellContext`kr2 Exp[((-$CellContext`ar2$$) $CellContext`f) $CellContext`V$]; \ $CellContext`\[Theta]s[ Pattern[$CellContext`V, Blank[]]] := $CellContext`kd \ ($CellContext`Kr2[$CellContext`V]/($CellContext`kd \ $CellContext`Kr1[$CellContext`V] + $CellContext`kd \ $CellContext`Kr2[$CellContext`V] + $CellContext`Kr1[$CellContext`V] \ $CellContext`Kr2[$CellContext`V])); $CellContext`\[Theta]A[ Pattern[$CellContext`V, Blank[]]] := $CellContext`kd \ ($CellContext`Kr1[$CellContext`V]/($CellContext`kd \ $CellContext`Kr1[$CellContext`V] + $CellContext`kd \ $CellContext`Kr2[$CellContext`V] + $CellContext`Kr1[$CellContext`V] \ $CellContext`Kr2[$CellContext`V])); $CellContext`\[Theta]A2[ Pattern[$CellContext`V, Blank[]]] := $CellContext`Kr1[$CellContext`V] \ ($CellContext`Kr2[$CellContext`V]/($CellContext`kd \ $CellContext`Kr1[$CellContext`V] + $CellContext`kd \ $CellContext`Kr2[$CellContext`V] + $CellContext`Kr1[$CellContext`V] \ $CellContext`Kr2[$CellContext`V])); $CellContext`if[ Pattern[$CellContext`V, Blank[]]] := -((((( 2 $CellContext`F) $CellContext`kd) \ $CellContext`\[CapitalGamma]) $CellContext`Kr1[$CellContext`V]) \ ($CellContext`Kr2[$CellContext`V]/($CellContext`kd \ $CellContext`Kr1[$CellContext`V] + $CellContext`kd \ $CellContext`Kr2[$CellContext`V] + $CellContext`Kr1[$CellContext`V] \ $CellContext`Kr2[$CellContext`V]))); $CellContext`Vmin = -0.5; \ $CellContext`Vmax = 0.3; $CellContext`\[CapitalGamma] = 1. 10^(-9); $CellContext`f = 38.9; $CellContext`Farad = ($CellContext`F = 96485.); $CellContext`lHue = {Blue, Purple, Hue[0.1421359549995791, 0.6, 0.6], Hue[0.37820393249936934`, 0.6, 0.6], Hue[0.6142719099991583, 0.6, 0.6]}; $CellContext`monStyle = { FontFamily -> "Helvetica", FontSize -> 12})}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{ 3.469859847057119*^9, 3.469871395359185*^9, 3.46987143090443*^9, 3.470032020438552*^9, 3.470032099356675*^9, 3.470032148595359*^9, 3.47003219298884*^9, {3.47003232828967*^9, 3.4700323631994247`*^9}, 3.470032445358099*^9, 3.470032528917445*^9, 3.4700459009124117`*^9, { 3.470045948290936*^9, 3.470045968517193*^9}, 3.4700460045139503`*^9, 3.470046047499797*^9, 3.470046130973857*^9, 3.473058146966585*^9, { 3.473058338744722*^9, 3.4730583619170227`*^9}, 3.473058622792583*^9, { 3.473058664202821*^9, 3.473058672208357*^9}, 3.4730587194443827`*^9, 3.473071387842313*^9, {3.4730738265637197`*^9, 3.473073849023706*^9}, 3.473074017993726*^9, 3.47307412534072*^9, 3.4730744318047113`*^9, 3.4730745241337757`*^9, 3.473074620445863*^9, 3.474866658564703*^9, 3.474866712867796*^9}] }, Open ]] }, CellGrouping->Manual, WindowSize->{1287, 762}, WindowMargins->{{95, Automatic}, {Automatic, 72}}, DockedCells->FEPrivate`If[ FEPrivate`SameQ[FEPrivate`$ProductIDName, "MathematicaPlayer"], FEPrivate`Join[{ Cell[ BoxData[ GraphicsBox[ RasterBox[CompressedData[" 1:eJztXXlYU9e27/fe++Pe9757be9tax1AkUGQAMokiLMWB9Q60Dreaq2tA1Zb LaJ1wjrVjg44KyKCAzIj8zwFSBjCkDCEBAjIKELRKhqSvJ3ssNmckxNGxX7d v+/od7LPPmuvtWJ+a++19jnqbdy5fON/v/XWWybgz//811tvKc9FA4RQmDVv AVdnbMpy5+KEBNgm7kT6t3uleuMbxxrVsqbI7T6WTVsrn7paNvPTRs87VUUC cNREx7e67HlpOVNhYt0x3qJ11LiaS1cGqhIBAQEBwWtHzg0vro5eps5Yjv74 /E9WC27fEeXmivLzM8+eZxtYKsYayMaMe2Y+U+a0S7b8oMz5kHzpfrnjVy+W 7nzh9EWHzbIO8w87TB1emDk817doHG1QFRM71AYREBAQEPQBcPIvSE8vMDQW 6Ojl6+oV6Izj6RrwLOx5do6RJrP4rKkKvTGKMWM7DFjta09Jt17r2HpV+qWH 7LOzslUnpEu+kzp+JbVb9XLS/OesqfW6E+qMLcuzOENtFgEBAQFBHwBjQXlp abb91OLRY4vG6BeNHc83sMgzss+fuCTefnXTBGtlLNA36NAf92TGCrHbrao9 ng/3eDV/6/lsx+WOLz2kq49L5++UOqxsmzBDomsumTRFxOMNtVkEBAQEBL0F KgqA87yNm0Sjxlbqm/KMJ2bOcWQvWpa6Ym2881q+48ziD2cK5s8VLFrIn+WQ vv6LxO2uydt2sbd/m73dNX/rbv7nXwvWbSlyXpuz4COuiW2x9YzygoKhtoyA gICAoFcQY1B+PORerWPEs5hceuFoTcDl6oBrVUFekkDPOr+Ldfcv1gVcrgu8 Wud/ufb+JUnYrapwH8kDn+oHPjXhPg/DbtWGeD8MvFETdE3sezZ2ynRBarr2 octLSrL9A4TpPXQjICAgIHilAPxf0Ql1MPjukGScde5XX9QG3mgIDquLSJTE pLeFR/4REvokLKItMrYtJq4tNq4tLKwlKrohh9eQV9CYndfIyW1iZz9OZIP+ 1YHhkrDwIo+LkSs3Zoc+KBcK8RFLBQJuYmLU6dMRn2/irFojuXCpoqhoiKwn +OtCGBIi9PYeai0ICIYYaCEAo0ClCspwIBKVLFsrMZ+Xf9i1NiywKTGnNjWv IT6Nf/Fic0zis6z8p5m8p5m5Tzh5T9I5TxKS29LYLUWlzcWipkJhU1ZBXSK3 Ijq9PCKlIiGjPDQueJzdzeFjr1ja+i1c4rXc+ecFC/c4TNltPP63d98LGz6i Zt16SWrqUHuC4K8IEAj4b70FDoGODjh/RaOkD9GCNzw83MXF5eTJk3w+f0gU IPgTAY8FIApUqSAuLc0/fKzUdK5w5voc971VUQ+q0/IakjJaElNCJk9JsZ/O v+7VnFPQmlvYkp3fks1rYXPApZa4+OaU1EcpqfVxiVVRCeWhMSWh0WUxifyQ 8O8/GLln2Du/Dnv/0N//8fXf/vf0P4dFvvd+wwjdjgkT6695DrUPCP7SKN28 uWTVKmU4GDasPClp0OXn5ORcuHBh0MX2BiAGBQQE7Nu3z9OT/MoIqBCks1Nu 3ky+dSs3MbEkPx/M/8uFwjI+v4TDKYqN5QcE8c56ZC1emWU4NdPOOWOhC9fd reJBYH1M0u+xSY/SOckLFj3UMc4bZZC0co0gKLQuO7+Ry6tncxpSMhrjkxoj ImtDgiVBASJ/v5K7t/N9bhUEB2beu/PV8A/OjxzvM1zHb/jIsrF6ckMjhZ5e h4VVddiDofYHAYESICKAcFDs4DDokocwFkD4+vqCcDCEChC8mRALBNX3Ajkr Pz2vb3hk5Ae/WVl62NoGWtukWdlmTrLhWNvzJ08rsbARmjlUWs5usJ7J27e9 +r53U0RMU2Law/Ss2PlO5QbmFaY2pXqmKfoTEnd8LQiPrmJzq5LYkrgkSWS0 JChY7O9fcvdOka9Pzs0bOf5+/Lv3ci1mSEwdpJNmyFl2cpOJCv3xHRYTq6Oj X6mlQm/vwcoDl+fmKqW9shwCwZADrAhgsmjQawdDHgvA6sDFxWWo8lQEbz4k Sanir77JMbVINxgfbTSeYz6xzX66YrKDwmKSwshQoT9GYTBOMX5CjpuL+N6t h5HxkvhUUUp6xDynIiOLIpYNn2VbYmqTO9YkYpJt8vEfBFHx5XEpwvCoMv+g 0jv3Cn198ry9Mjyv8e/fb4xKlq8/IluyQzZtldxmvtzERmZq9TA4uPeqAiqG v1NwgHPUDhb1Gn+/cI6HDvARXQITP3z6R/kIoL5lzx7UUnb8OBoI9ASX0C3w nN/50g+gBkUfujRcrFIOi4UPrUxTdBoIExdIeWQUaAfEBRQABwpP4ESgo4Py 3vBeJBwRXdm5c8iloA+0C9xSsnAh1BlqhfxMvxGOArUCfaADgRxgI5AAtaK7 DmpC0QqqDYZW+5bFgo7qugsY6O0NxgInoJHuQ1wZCiia4/4BosCh/Cq734i+ 4m5yGBxF9wwTtMcCwNLh4eGURpjnpwg5efKkiwru7u7x8fGo/bffftu1axdo x3NBuFjQB3wEqwMtOkAAOUAaRR+kDBgUDA17AmVQcAEdoAIBAQF0i9BHmK1C QnArcOGwD/gbSqPI5/P5wJlIVdATnMNqCBwINMKreFqM4g2NntT+pYAhoA6o BZiP5ODeoDtE44javaFFOFzlQUfh3ynFRqAAuJFumhaIU9PEn216PMmm1ca+ berMduspcj0DxVgdhZGR3GySgmWb5ba95M4tcUScMCaxJCHZ33F+qqF5Bsua rToyzGwyTCzDdQzuz56bcsajKCS8ODCI7+PD8/LiXL/Gvnq5LDpRkpT5cs8F 2WcnZU7bZVOWKVjTms5c7JOSiGNxmsUDBE62iDPBCX4Or/YjFiA2A41dxDXg WICqloj8KZ3VQUfFnIiiwUcwND0IIsUgLaP+XVZA2uwUDg2HhkCBQIJI0/SY cqOaz1Xmw3O1EBYLaUVxHdRKyerd3QXG6gqyKrvAgRQA40LFYB+NPoRWMyV2 cM3VgWDYMKVMHR0Ua+hfB2VqweQoumeY0GMsQKSHAFpw2oE/bUAXASoAuoMk AAkKcgJoB3+DPnSxUJoWZgBXgYZIOPgI/kblZqQMoBrUDQwEhoZ9gAJAOGiE lEWxCH2EcsBdUFs4ELwFGgKFgKs4kVLkAwWQBNCI8zMKEEgIHhkRLWv0ZI9f CugGmRn/RqBWSBPQSFeYaUQt3tAiHKoB7ALt4G88xCOdgTPBcECHfmwYEIvF VWc8nk+bLbObLrWdJTWbIRunr9DTlZvbyCd/yHZ1KfLxKg2L4ofHFEbFes2Z e0fP2N/Y4j52BJhY3NMzvjJqzO3lzhmXrxT4+OZd90y5dDHH905hbHJpXGrL gcuy7WdlKw/Kp69tX7ZJ1H1zaY9AHIL/9PAAgX6eKEBQGBVRbl9jARoFMTZg rUGJBegq7Ny1oaWzgomkoYEA+agH6uxM4XYYOJQZrc4OlGAB1aZfhcPBEwr3 UvgWNxkOCiIC5RLV/M5FBGVc1B+NBXNxaoernABaIOVqJHyK/ynANVfP4TsX Fyh04uZD5+NjaXeU9kiEMPBYAG7X+NMGbMD0k8fFAjKBM0kmcqDoACaokFQ1 KgMBRKGJKBP5Uz5COfglQFnQM3DpgbgUfkQ98XNInkgCnDyjbni8g+GAIoHJ k9odAkMVnMDDFigHvwV8RN8yfjvTiFq8oUU4xXyNNsJ1InJmX1FZWVkTFS39 cJHCbGqHnbN03jappb1cV0duYZfqui3P+3pR4ANecHheWMT5mbN+Ga13Tt/4 bPcDtHjoG/8yQveUrt7djRsTzpzJuno1OzQqLzK+KDrxofuVl67nZRuOy2du qL/Xh+wQhPpHpyJhCvOocxSdJAkW7DiTiGhr+T7HAtrsfbByRGh0eBXnImQj kkZXA87JURBUB4thw5gMwTvgUYZJKybJXTaGhOArFwiNqw8kiqIVE5NDJ6Dc C1zj4KYh0B2OA9cc/hNCy8Ou5U9nkk2dslNN/rsCtFZH0X2uEQOPBUwbgQB7 MG0QwmeJkLQ1JqOYdIAKoGwGPRbA5Azs0KdYgLMijGUah9ASC3Dh+I2UcWFm jLJU6eWWKoooSLn4WHQ5yBbK7UwjavEGk3BY98FJnm4j6AlUHUhtqKKioqqq qjY5tWP6Yrntx7IV3z3acrpt2gLFOEO267aiOzdLH0QXRUQXRsZemj3nrK7B RcMJGo9LRqYX9E1+fW/UVXOLhGNH86LiBIlpJXGpVe6Xn7iel288Lpu/tTqp z3pChqEk2NXpdDTtV5G/RnrB+acfOSJ1DFq4EPLGIMYCmMKCVAnvRVwEzYFD w9tRsl2d2FdFPURE9CBI4WGcw9E5kEw5RPQ1SPeJOm6Usl7QGaDVzsEsQh+R KFH3pQRTLEDkD4wCQ6C1nsbavRYPdzM5JAStd+i+RcoAzaEn1QsorY7C5Wv8 fiEGHgvwHA4EmpBT2gEgVyCxMAoAzgFzZjTV740OgFKg2hRlAM+gPJLG27XE AjSJpZjZ+1gAc0TAKMiilFhASf7TVy5MntTiELgogJkcprhD1wRXXuOIWrzB JFxjUMZNg6skpojfS8BYAFYH9UGhcqslsmX7WlzOFu4+1zxlTrabi9DftyIm sSw2qSQ+6bbj/FBDswiWlYbD1CrceGKUuWXmcqe0vS7xly6UxCWJ2dyKtCyJ +6XHbuc6tvykmLez4YZfn3RDVIBOYDv8LSvrlaoTOI18FbEAVg/5WDF6sGKB ms9VVAkJUEmqKiGQLdWTf2wpBMMifqBcCr97KZPOw3wsT0IR0iUNz9LA8jFN Mr5Aw0ur6NCwTEOrKkwrevzCPQNHwQ+N5WOUsoMUDcMH+uLwG/E6NTq6fKtS DC8uwC9Ri6Mo8pkwKLGADqZ2xAwoYwAzJ3Ty0a4DuAtWH3BlYN0WZr+Zbn+l sUCkmiTDMgHuChFDLKB4g8mTWhyC8jD9jgUaR3wVsQDGHbo5vYdYLK7sBDh/ tn6XfOHOZy6nha4X8r/5Ofu7r8QBvtVxyeLEtLLk9MD5C9INzTlmNlks1dF5 kmlixZlgWeg4u8BtS8KFX3kRUVXZ+ZVpmVVsjoTNrfn+8iPXM9LNp+RLvpU6 bqrK6kMuS508UbEHvn5HJIwWCKLByxEhiuimiWpGjRdPBxgLkG7gBIrCAxZo VM+QMT4XoQ2u3t7q5RJlh0/nWBpWCnAmrMqTUDYpdc29vb2ZyJ+yowlPDUFb wL0U8qdXovF9SspaAHNdGLlU6fPuGR4c9DCtXFB0kjNFc7VM1fdISXDh+TqU L9LuKFH34hETeowF+LwRru7pOSI8Sxyg2oJCbxdhfIgoAmWYYT6BadsMPRZA 2seVgXkhes/exwIKlfUjR4QAHAX0gfVTjd1we9ElJk8yWYQWBRQl+5Qj0jii Fm/0O0cE12sDWRegh45hLGg9cEo+98uXX/xUu9uDd+Ay96hbdeDtuoTU6pQM UWpG5DynYgOLElObElNr1d82JSZWJcaTKqY6iF3WZXicSvb1zfa7X8fNrc/m 1Wdw67Jy6tjZdQc9Wveel244IlvqqrBb2b5sS2VOXi/V65aT6Zy8qTMqqh8y 3mGwasdw3wtsAYSGT1whL1GyHJB8ENGp58woDDHPG1FuHI8FaGlAKRMoNcG3 1FJ2+HQvZaLRUcYGJy54FW1hpVCculzLYqmdprpR6RMsEdQVAbEMiYZtSN3Z XmP5GEnGgbfg8ZcC/CtAkRoFMsqNuEzKVis8FiC1lZFRq6PQcFrCWY+xAAee lkG8DRrRBiERNtWnFBlROkjUSUeQvVH2mCl33ctYQN/pqvF2Fyx9JKLFApyp gFGwZ59iAZ5jpxRPKbVjijdEzJ5ksgiXT1kf9b52rHFELd4YSO1Ye2FIO/AX UCjfRFQmbP9og2z2RtmG4627z5fsu5B98kBt6L3mhJSGtKxqdlbcfKcKffOK CdbKw8Sqwmhi9SSb2nVL8391z/T3KwoNLwh9UBQU3MDJfZSd35yR08LNa8nI btlxom3Hz9L17rIF2+TT1ynMHF8sWCNJSu6NhvQJG/gBohMRVnWF/Xu5pxTu MFfvG1dtNcSTJygVA+elkFHxPaWwMyIi9WbFTmnKjywWEqLlzQbIOjwWiLCl Ac48cBMmRROU5Ee7H1FCu0sfHR2UckGhAdVfkDTkQ/QRv1FtV+coXaWK48eV G+9XrVLq0NkZsC5c7KBd/XCnq4hhn5LSLihBta1UpIpH6swPerACq0EjoLUY WsWoBaoWU5SFGxhCaS/4hwEU63QOvKRxCgGDiBZHodoKfZMqQv9yRLtUADcC Psc3GUKKhmEC368IaYGSw6ewCj537VEHuPtIhHEgvvMTjgjfcYGWNmiCCjdV QtaixAKNuyiZYgFdPgCSAE3GGRiGoYCe9pTSPanRIfiigKIk07ZPusJMI2rx xgD3lNKjTC9BeTddXVCYzGxmx/RVspWH2refqXHzyPvxUENEwO/xiY/Tsuqz suMXqGOB2GhSJcuybum80qO7Mm57C+KTHqamP4yNKwwJyw8KauTkNXF5j9jZ LTkFTzLznn5+4I/Ve+Qf75PN+Uxut1xuvURhvVDqML/c06tHDfFdJXBWCX/O +C+XQrngKr6zXeOzZvg+VZwHELGgeoTywa7uueuubAk2KUUjwkeZ0Eft+88R 50DFEKGhpQFlvkrJeCuZE5u64wfwFSofIzrF1zsiVR4JdxRav6D8STe7zp3r Zhe2J0ejf/AHQPDwQd9cRKmDoDiLlyG0vDuOog/KU+FVclRwxwfCTaYEFMr8 n8lRaB6CatN09foXC9AjV/Be9PARZSMNeo4JsiKaM0Ox+GRV1Jnkoe821KgD 5HNR9+UAPhzcKo8vasBHuG0JDATJTdT9WTN4if50FX3FAe+iyxdhD1vRTQaX mJ41QwYyeZLuEBhQ6M9ZUOS4YI+DaVRY44havMEkHELLs2Z4jaMf4QCPBVV8 wfN5S2WsqVK7RS8Xbm1fd+SRyy/5PxxsjPB/EhvXmpL+KJMbscCpYByLb2Ip mjND6PoF58bFvLAIcXxyfWp6fXJyXUxM2YOwvMDA+rSshoycxjROMze/NTPv 0X/2PV228/msTR32q6VWS2Rmc+TmMxQWs+QTpzVv/bqSncGkHn3vH+JAPp6I 6NxohN+r8R0UPeaIKBK6NOnM0jOqquqAFy5hHGHqD4G2A1EsEmGcSZ8SQ5bD hXfbHbR5M9QE3/QI8/l4igk3s2e78LEY7IJy8CHw58tgDgdpojEpRNeQqTMO ypdI4X96RKZ/lailm/J0J9MchYui/ANA6EcsGDj6JJbemak0MJCxNJY+B1G+ lm59dTKkcUpCpvf692a4fntjIIP2CBQOWj//smOC5Qsz+w6ruVIH5xeLdzSu OZh7dF9d6N3WqKjHcQlNySl+cx2TzCcWfrmae/7HnKAgUUx8dUKiKCauIjqm Njq66sGDsuBg7n2/h7GJDxPZkti0OnZOMzuvddOxp8572ud8/txmkdT8Q5mZ o3zCNIWxrcJ4svKJBoupTZ9uqggIFJWWUnRDczzUgnIUeKOW2iIFfYoFrwFd j9l2JqjRJWQ7npTQDsojGPTtoK8f9M02Gol3IKDUL1AOX13e7f5A3OvHny4W wDwMnuUelLH+XLEAf7Aa4q8QCyBKN2+VjjOWmlg+NTRvGm9TbzZbYr+Kt3Br 1hG3Kv+bDcGBDaGhteERwYvmp363I8v3ZnFQqCgiUhgeWRwWXhQaxgsOLggM LLp/n3f3Tuqtm+XBEcKY1LLI5MqkrMZk7vP1x54v2tFuvVxq+uFzm3mt67Y9 3n+08bRHw5Xr9ddvNnpcbtn//eNde+vOUn8yeNq2U0/1Dx/fx0LvxgSNsYCy Uec1A89aUKad+KXe8DksntKfwu7xnTmvFCAKwBoHRSvt2bM+yacko/B/Hhp3 Pb1O9Gkf0QA3h+Ni+xQLKO+gAEyIaBAVkZmQo4J24aIBsJ92+fhAgxgLXGhv cOq9/r1R+M2MBWI+v9Flp3S0XvtovWYd/VpdA/E408oJU/iWC7jzN7MPfyv0 vVJx20d8927F3bvsX37i3fIpuOdX6Ocn9A8QBgQU3L2bdutW0s2b4Ei/cSPj +vWYy5cKfe4JQuMFgTFVCRlNqdkvlu6S2q9qc97SePZKZRaXURVhOaUB/MxR zVHdRZV2oDTCMmVvuIUSC1AGA3DFUE0d4bvX1G/j6T5VVpYtOi/17y2pvXxn zmsG1GqwHA4rI/gBn4ODVylv23v96NM+osF6uXRfYwEaHZYs8as9xoIehQ8w FvR+oEGMBZRFgYh5G1X/8AbGgjqfuy8dZreN1qscz6qcZFNmaSOynsw3NM3V Mc4yskudtSZu6xf8O54lt31L/O6V3vcT+N8vDwoSx8RWZXCqc/Ml3LyatIyq 6LiywED2bd+YG54xntcjr1/NuOldFhYnikx6XF4lCY95OWXNHyu2iAXFg2V4 vwGJF88moULzEE4dXx3o9r4JgKn41/MOcBQphuqV40Pyzup+lA5fNQaXS+nQ YvJfwRsDsVFcUCD0uBS2YWPAvn25AYFlXK6wsFBUVCQqKChLSuKdv5D00epQ qwVBk6eyf/lRxMmqKytrEoubJNVNdfWPGpqaG1VHfcPj2vqW2rpHNbWNVTX1 5aLK0tIygaC8WNAkrnjyuLW5srJg9vJnJrNqb98fRMMJCP4sGPL/v4CAQDvK i4ryORx6Oyoll2Rnh9rM9dU3uG1sFD53Lm/95kK3E5n7T7L3Hc84cDz7yClw cA6dyHU7LNj1XdZ2t+RN38R/4Rqzcfcdp6UHpzlEzV+Yu3RNkdWcJvMZTwys qkPJf2FG8FcE/C8GhloLAoL+AIUD/9mOv777rzMjxwpt5sk2n355wKvu2C3h cW/hiZuiH33EP90S/ehddeTKHztPijYfzV13IH3992mrD+ev2ONtbLv5nbfL jFgS44l1hmaPdA0qfe8MtVkEBAQEBH1GcWrqiVEj3N9+98Jw/fYpzrLl+2Vb zj1zvfJ4v2fDYa8ad6+qIzcq3a/XHLjSvPlEw/rvK1YeKll7VLB8j8Dxy/Ip n0TomcWN1i0bZ1iuZ1Sto1d67MRQG0RAQEBA0EcIhYk//XT83Q8O/t/bybrj ZfYfyeZuki3fK/vsZ9n2Cy++vfJ07/W2vdceuV19vPvi75+ffLrm2O/Lv2te sf/h3M2Vk53LTGcUG1lmjtFLGT2mYIxe8Sjd4sXLROXUbUIEBAQEBG8yyoXC 7ISEI6N03P/x9gsTK/mkWbLJS2TT1ypmb1UsOSBf+4Ns028dm890bDn9cv0P L1cdaV+877mjS9usjU8sltRPW1ppO1swxpA7YnTsiFFxo3TYI3W5hsalmsoT BAQEBARvMtJDQjb+7e/JI0bJTSbKJ9gqTKfLbJ3anbf9sfXwi09c5bO2yRbv lS12kznt7nDc8Xzqhj+sVzw3mdN44ldxfoEIHIFBhavWJI8dF/De8Ij3R8Z+ MCrbq+e3DxEQEBAQvFG4fvDA4X/+U6GvrzAYL2dZtbl8I0lRvyJJXFLa6n5G YbtSPvU/8qmfdtiueG7u1G44/ffPvqII4cfExC9zvv7Ov/3+/X6E02KSJiIg ICD4E6FcKNxuZSkcMUqhp9f+oWNNVDS9T9s37grrJfJJ82TWTs+Mp7cbO1TH JWqUxr569byO7uVh71RpkkNAQEBA8GYiMynpxL/+pdDRa/n6G3H3Z7ERKvIL pbOXKV83ajb9hZHdkyWrRUIhk8CCpKRTxkaxM2aQpQEBAQHBnwW/bNvaNHJM ncdF7d3q7/grJtgpWA5SQ8um33p4ARqfw/nFwlx89drgqUlAQEBA8KrAZbOv vj+i6ezl3nT+Y8knCqOJcmOryti4HjsLcnKiXbZXcLMHrCMBAQEBwavF1W93 N+4/2svODVc9FcbWbVYOpTxeb/qX8HilJBYQEBAQvNnITE8XnPq19/3FZWUd 9rMfLVz66lQiICAgIHjNKC0o6Gt599mqTZyPh+z/jSIgICAg0Ij/B4IFulc= "], {{0, 0}, {516, 41}}, {0, 255}, ColorFunction -> RGBColor], ImageSize -> {516, 41}, PlotRange -> {{0, 516}, {0, 41}}]], "DockedCell", Background -> GrayLevel[0.866682], CellFrame -> {{0, 0}, {0, 4}}, CellFrameColor -> RGBColor[0.690074, 0.12871, 0.194598], CellMargins -> {{0, 0}, {-3, 0}}, CellFrameMargins -> 0, ContextMenu -> None, ComponentwiseContextMenu -> {}], Cell[ BoxData[ GridBox[{{ GraphicsBox[ RasterBox[CompressedData[" 1:eJztWl1Ik1EYFrqNEoLMbHPmNkRrEhJERj93ra4cJvbDRIsyMk1pc03tTL1w aD+LfkQIJBkR/dBFdtHFDLywCykqoqgLIYRu6jbb8me933e+HT/P2fZN+sZ0 vg9n43zfec973nPe57zvOWNFDS2OhnU5OTlG+LyBj1S/ikAgEAgEAoFAIBAI xEpFMBh8jUgPYG0z7d7MAOYedm/Bko4Ca5tp92YGSCokle5AUiGpdAeSCkml O0RS/R1tjEajUIHvyIhdehPyLNZjrVSAgT5CK1Tmf32e+/qcdYEy+/4+vKTd oQJN89PjojbaHcrCzE8qn0RGfIxrEjcF0SomD49hYqDDUUSGKtUKWRMYz42L pFJDg1RPamGdlRWGuuDi2Yl+WHkoiy72W6jjgFeSm/wWKEAScCvtCxWpSzxt 1FPU9dJ76Lt8UnEmcVMQrWImUQE6nKJB7sgUKpb4LcpEtHiFpEpEKim2TI8n IhXv4pAHXCAJEAPIq7d5JFAOYYEGKHEstTbQAJKSx+XH5ZKKE+CmIFq1ZC/E SBVXoboJyMliKZKKgyapwLlK1ohHKgpYYfGRbnNpg4c8dP3prtckFQ0gUm5K miKpVZxnRZP4KcSziiU1bjhOobpJ2TtIqnhITipYZ7byydJfoDzMpT9ZWMo1 EHbgBBLyhOWzlmakUtKQnB/VuUYkFbWNjZXIJHEKnFVL0t+IXSQVU4iRKkUk JxVzhJI7hirpDpXOGzJ5eFLFvMNORxAlaJZhmtmZStQGAvSQA/FECSksH/kt VLMyokw5qHDOFU3ipiBaxZmtTSo8U2lBI1LF/BWNXZ0Y1LckLo9IqQdYIWdA 9T0uvPT2J2qjrUr2lGMRSzrq4eiIVIxFGC5bMZO4KYhWcWYnSn8gv3j7k+vJ GbVaSNXt9fo6O/XVib9Tpa+sClLdvtB0q+WSvjqRVGucVA/q6p9V1+irE0m1 xkk1cuLk2O49+upEUq1xUg1X14yZraSrS0ed+H+q9GFV/J+qx25/u9U40Nqa aUMQ2YMrFRWf8g0vDh9JvUvgYjPR+8KIyA5AyiNeb1Pe5ql840xxSV97eyq9 Hp1y3nE602waYoXC19GRqInIGHC57lY53Lm53/O2RQ3Fr6qqNXUG609/LLX1 ulOiHyL74D/XeLPxvPiexHDtsuulyexbv2GqwLRgNP8xl/W7XAQE1IUQ1nHw zNl5o2XYoc09RLbC5/E8te26V9+gfskY5SPkuss1abLc2Ljpm9E8Z7FFt++c POroJoQWn1wotQAPj9XMFZp/m6y9bndGpoNYCZBikbNuoqBwsPY4IxIrQJu+ trYf5pLRfOOXotJw6d7Zsv0LtkOPzzb1ENKjolagueVD5YGodUfEZH2372Cm p4X4X/wDFcRtOg== "], {{0, 0}, {199, 30}}, {0, 255}, ColorFunction -> RGBColor], ImageSize -> {199, 30}, PlotRange -> {{0, 199}, {0, 30}}], ButtonBox[ GraphicsBox[ RasterBox[CompressedData[" 1:eJztlDFuhFAMRJHS5w45Re6RI+wFcoOUtNtR0lJSUlNSUtNS0m9JXjTKaPQh UfpgCeT1n2+Px15ebu9vt6eqqp55Xnm+/I/L/p+1bbtt277vvJumIcKbnwWs 73vBsHVdE1bXNQ55Ho8HMOEd3L9tWRZ+6tRBrrjEMAwigHO/37M6SII40zRB Q7QLkpQWjKOu63RqGHHVIoOYYAR16oucinYGxUo2jqMIzPNMnpQRPF2nMkeS cCBDXsm7ZNZp6oZRS3wsIBFNIYM2iY8gYmJA8imqawHcOAKqio4KSp4O7Qjp K1nOUygasaG2hoKSaud3krkArggZzyhhTohP3Uz7E0mNu9g98oj26exOSTon fRUtn8IUJL+W80gyuz6OW3mgrSXXEv5dSaRTaRz9KQpY/knxtVomKdFQxvFT JZFR6pFBJWT5tbEvR9+H3F6S+GOSMC+DTHtrHYyh32Qu855cdhn2CUundjY= "], {{0, 0}, {55, 14}}, {0, 255}, ColorFunction -> RGBColor], ImageSize -> {55, 14}, PlotRange -> {{0, 55}, {0, 14}}], ButtonData -> { URL["http://store.wolfram.com/view/app/playerpro/"], None}, ButtonNote -> "http://store.wolfram.com/view/app/playerpro/"], GraphicsBox[ RasterBox[{{{132, 132, 132}, {156, 155, 155}}, {{138, 137, 137}, { 171, 169, 169}}, {{138, 137, 137}, {171, 169, 169}}, {{138, 137, 137}, {171, 169, 169}}, {{138, 137, 137}, {171, 169, 169}}, {{138, 137, 137}, {171, 169, 169}}, {{138, 137, 137}, {171, 169, 169}}, {{ 138, 137, 137}, {171, 169, 169}}, {{138, 137, 137}, {171, 169, 169}}, {{138, 137, 137}, {171, 169, 169}}, {{138, 137, 137}, {171, 169, 169}}, {{138, 137, 137}, {171, 169, 169}}, {{138, 137, 137}, { 171, 169, 169}}, {{135, 135, 135}, {167, 166, 166}}}, {{0, 0}, {2, 14}}, {0, 255}, ColorFunction -> RGBColor], ImageSize -> {2, 14}, PlotRange -> {{0, 2}, {0, 14}}], ButtonBox[ GraphicsBox[ RasterBox[CompressedData[" 1:eJztlSGSg2AMhTuzfu+wB1qzR+gF9gbIWhwSW4lEV1ZWYyvxSPZb3vAmDdDq zpCZdvKH5CUvfwhfx9+f48fhcPjk983vXy922eU9paqqcRx9HGcZhiE+PZ1O KHVd24KOgt0WFKLQ27ZdJrper0JGcS5CVqs6n89yRpGl73tZBK6kkvv97kCe ChOlLEvbVW2kiYPoxKcYRdwWld00jS2EcFSFMYXCqbOcBJzL5aJcxK7SFEFB GQFn8AWupPUkMRfIJEK53W5d1z2hGVP7yohVbfanWoxAJQTfeywbT1+xK9mi GQGTj8FT0uRAN3Tdjl3SlNANP5WoabIIRP+x52ojLEgXs8fxs7+R1cCXNFH6 SVJhKZwx0+BxBZ7nraGNpBSrEFlA1khgRDcCRg1navIWTeVKPVmliaeaL+c4 tCmcknRHfjtWaS6HNtYmC1wYjGJ+6eKjJcficWgVssz1nGbabFtD682gZaIO MHXqkq/vyW3GFaQXliNuOhbz9lOHU3a6SrhWkCmnXC9pUoPBt1aQpquYrtJt 0f6Pazkd497W1MkSlxierkrrN254iz8oHqS0ByzxGzfOHx2yq9plYSl8l13e Xf4ArlmHrg== "], {{0, 0}, {77, 14}}, {0, 255}, ColorFunction -> RGBColor], ImageSize -> {77, 14}, PlotRange -> {{0, 77}, {0, 14}}], ButtonData -> { URL[ "http://www.wolfram.com/solutions/interactivedeployment/\ licensingterms.html"], None}, ButtonNote -> "http://www.wolfram.com/solutions/interactivedeployment/\ licensingterms.html"]}}, ColumnsEqual -> False, GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}]], "DockedCell", Background -> GrayLevel[0.494118], CellFrame -> {{0, 0}, {4, 0}}, CellFrameColor -> RGBColor[0.690074, 0.12871, 0.194598], CellMargins -> 0, CellFrameMargins -> {{0, 0}, {0, -1}}, ContextMenu -> None, ComponentwiseContextMenu -> {}, ButtonBoxOptions -> {ButtonFunction :> (FrontEndExecute[{ NotebookLocate[#2]}]& ), Appearance -> None, ButtonFrame -> None, Evaluator -> None, Method -> "Queued"}]}, FEPrivate`If[ FEPrivate`SameQ[ FrontEnd`CurrentValue[ FrontEnd`EvaluationNotebook[], ScreenStyleEnvironment], "SlideShow"], { Inherited}, {}]], Inherited], PrintingCopies->1, PrintingPageRange->{1, 1}, PrintingOptions->{"PaperOrientation"->"Landscape"}, ShowSelection->True, FrontEndVersion->"7.0 for Microsoft Windows (32-bit) (November 10, 2008)", StyleDefinitions->"Default.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[545, 20, 1015, 20, 111, "Section"], Cell[1563, 42, 148, 2, 26, "Subsection"], Cell[1714, 46, 2690, 50, 94, "Input"], Cell[4407, 98, 102, 1, 34, "Subsection"], Cell[4512, 101, 6151, 106, 79, "Input"], Cell[10666, 209, 152, 2, 34, "Subsection"], Cell[10821, 213, 5792, 100, 129, "Input"], Cell[16616, 315, 227, 3, 34, "Subsection"], Cell[16846, 320, 116501, 1793, 437, "Graphics"], Cell[133350, 2115, 296, 4, 34, "Subsection"], Cell[133649, 2121, 13617, 228, 101, "Input"], Cell[CellGroupData[{ Cell[147291, 2353, 49283, 1054, 19, "Input", CellOpen->False], Cell[196577, 3409, 138276, 2359, 547, "Output"] }, Open ]] } ] *) (* End of internal cache information *) (* NotebookSignature FvTyCoUISrzv5AgeGCQ13xNP *)