(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 10.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 81037, 1460] NotebookOptionsPosition[ 80713, 1444] NotebookOutlinePosition[ 81057, 1459] CellTagsIndexPosition[ 81014, 1456] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"Clear", "[", "Axs", "]"}], "\n", RowBox[{"Clear", "[", "Ixs", "]"}], "\n", RowBox[{"Clear", "[", "AIx", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "Ro1", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "Ro", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "R1", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "R2", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "R3", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "FF", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "y", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "H", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "ge", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "mb", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "Bz", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "Apar", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "Aperp", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "DNV", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "H", "]"}], "\[IndentingNewLine]", RowBox[{"Clear", "[", "Detuning", "]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Clear", "[", "t", "]"}], "\[IndentingNewLine]", RowBox[{"(*", RowBox[{"NV", " ", "papameters"}], "*)"}], "\[IndentingNewLine]", "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Ro", ":=", RowBox[{"(", GridBox[{ {"1", "0"}, {"0", "0"} }], ")"}]}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"sx", ":=", RowBox[{"PauliMatrix", "[", "1", "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"sy", ":=", RowBox[{"PauliMatrix", "[", "2", "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"sz", ":=", RowBox[{"PauliMatrix", "[", "3", "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ix", ":=", RowBox[{"PauliMatrix", "[", "1", "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"iy", ":=", RowBox[{"PauliMatrix", "[", "2", "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"iz", ":=", RowBox[{"PauliMatrix", "[", "3", "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"plus", ":=", RowBox[{"(", GridBox[{ {"0", "1"}, {"0", "0"} }], ")"}]}], "\[IndentingNewLine]", RowBox[{"minus", ":=", RowBox[{"(", GridBox[{ {"0", "0"}, {"1", "0"} }], ")"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"un", ":=", RowBox[{"(", GridBox[{ {"1", "0"}, {"0", "1"} }], ")"}]}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{"R1", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "0.5"}], "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}], ".", "Ro", ".", RowBox[{"MatrixExp", "[", RowBox[{"0.5", "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R2", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "I"}], "*", "3", "*", "2", "*", RowBox[{"(", "iz", ")"}]}], "]"}], ".", "R1", ".", RowBox[{"MatrixExp", "[", RowBox[{"I", "*", "3", "*", "2", "*", RowBox[{"(", "iz", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R3", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "1"}], "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}], ".", "R2", ".", RowBox[{"MatrixExp", "[", RowBox[{"1", "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R4", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "I"}], "*", "t", "*", "3", "*", RowBox[{"(", "iz", ")"}]}], "]"}], ".", "R3", ".", RowBox[{"MatrixExp", "[", RowBox[{"I", "*", "t", "*", "3", "*", RowBox[{"(", "iz", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"Res1", ":=", "R4"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Pop", "=", RowBox[{"Re", "[", RowBox[{"Part", "[", RowBox[{"Res1", ",", "2", ",", "1"}], "]"}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{"R1b", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "0.5"}], "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}], ".", "Ro", ".", RowBox[{"MatrixExp", "[", RowBox[{"0.5", "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R2b", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "I"}], "*", "20", "*", "2", "*", RowBox[{"(", "iz", ")"}]}], "]"}], ".", "R1b", ".", RowBox[{"MatrixExp", "[", RowBox[{"I", "*", "20", "*", "2", "*", RowBox[{"(", "iz", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R3b", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "1"}], "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}], ".", "R2b", ".", RowBox[{"MatrixExp", "[", RowBox[{"1", "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R4b", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "I"}], "*", "t", "*", "20", "*", RowBox[{"(", "iz", ")"}]}], "]"}], ".", "R3b", ".", RowBox[{"MatrixExp", "[", RowBox[{"I", "*", "t", "*", "20", "*", RowBox[{"(", "iz", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"Res1", ":=", RowBox[{"R4", "+", "R4b"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Pop", "=", RowBox[{"Re", "[", RowBox[{"Part", "[", RowBox[{"Res1", ",", "2", ",", "1"}], "]"}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{"R1c", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "0.5"}], "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}], ".", "Ro", ".", RowBox[{"MatrixExp", "[", RowBox[{"0.5", "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R2c", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "I"}], "*", "10", "*", "2", "*", RowBox[{"(", "iz", ")"}]}], "]"}], ".", "R1b", ".", RowBox[{"MatrixExp", "[", RowBox[{"I", "*", "10", "*", "2", "*", RowBox[{"(", "iz", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R3c", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "1"}], "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}], ".", "R2b", ".", RowBox[{"MatrixExp", "[", RowBox[{"1", "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R4c", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "I"}], "*", "t", "*", "10", "*", RowBox[{"(", "iz", ")"}]}], "]"}], ".", "R3b", ".", RowBox[{"MatrixExp", "[", RowBox[{"I", "*", "t", "*", "10", "*", RowBox[{"(", "iz", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"Res1", ":=", RowBox[{"R4", "+", "R4b", "+", "R4c"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Pop", "=", RowBox[{"Re", "[", RowBox[{"Part", "[", RowBox[{"Res1", ",", "2", ",", "1"}], "]"}], "]"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{"R1d", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "0.5"}], "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}], ".", "Ro", ".", RowBox[{"MatrixExp", "[", RowBox[{"0.5", "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R2d", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "I"}], "*", "2", "*", "2", "*", RowBox[{"(", "iz", ")"}]}], "]"}], ".", "R1b", ".", RowBox[{"MatrixExp", "[", RowBox[{"I", "*", "2", "*", "2", "*", RowBox[{"(", "iz", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R3d", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "1"}], "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}], ".", "R2b", ".", RowBox[{"MatrixExp", "[", RowBox[{"1", "*", "I", "*", RowBox[{"(", "ix", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"R4d", ":=", RowBox[{ RowBox[{"MatrixExp", "[", RowBox[{ RowBox[{"-", "I"}], "*", "t", "*", "2", "*", RowBox[{"(", "iz", ")"}]}], "]"}], ".", "R3b", ".", RowBox[{"MatrixExp", "[", RowBox[{"I", "*", "t", "*", "2", "*", RowBox[{"(", "iz", ")"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"Res1", ":=", RowBox[{"R4", "+", "R4b", "+", "R4c", "+", "R4d"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Pop", "=", RowBox[{"Re", "[", RowBox[{"Part", "[", RowBox[{"Res1", ",", "2", ",", "1"}], "]"}], "]"}]}], ";"}], "\[IndentingNewLine]", "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Plot", "[", RowBox[{"Pop", ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "3"}], "}"}], ",", " ", RowBox[{"PlotPoints", "\[Rule]", "100"}]}], "]"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]"}], "Input", CellChangeTimes->{{3.6401732715455*^9, 3.640173296077031*^9}, { 3.6401733316400447`*^9, 3.640173386328266*^9}, {3.6401735195626464`*^9, 3.6401735590007443`*^9}, {3.6401735892980337`*^9, 3.6401736357361107`*^9}, 3.6401736720178576`*^9, {3.640173703815167*^9, 3.6401738119573*^9}, { 3.6401738474421883`*^9, 3.640173931615168*^9}, 3.6401739951271524`*^9, 3.6401741112225184`*^9, {3.6401741455198936`*^9, 3.6401741955361443`*^9}, 3.640174232489835*^9, {3.640174264693369*^9, 3.6401742721778774`*^9}, 3.640174315631598*^9, {3.640174454686854*^9, 3.640174473483986*^9}, 3.6401745261722646`*^9, {3.6401745931300755`*^9, 3.6401746288659763`*^9}, { 3.640174756602948*^9, 3.6401748793573294`*^9}, {3.64017491581098*^9, 3.6401749258423967`*^9}, {3.6401749569833913`*^9, 3.64017498065559*^9}, { 3.640175058109775*^9, 3.640175093016503*^9}, {3.640175127095153*^9, 3.6401751338295918`*^9}, {3.6401756072238874`*^9, 3.6401756157083797`*^9}, {3.6401756795061283`*^9, 3.6401757001918974`*^9}, {3.6401757435831165`*^9, 3.640175763692766*^9}, { 3.6408521837341733`*^9, 3.6408522351723356`*^9}, {3.640852266500867*^9, 3.640852309345174*^9}, {3.6408523937837615`*^9, 3.6408524253466682`*^9}, { 3.6408524957694573`*^9, 3.640852510410268*^9}, {3.640852583208083*^9, 3.640852652927735*^9}, {3.6408526878500643`*^9, 3.64085271938172*^9}, 3.6408527916638536`*^9, 3.6408528383832073`*^9, 3.640852943962696*^9, { 3.6408529767131186`*^9, 3.6408529974165087`*^9}, {3.640854209604068*^9, 3.640854462029207*^9}, {3.6408546156874785`*^9, 3.6408546207656674`*^9}, { 3.6408546616568265`*^9, 3.6408546776726565`*^9}, {3.6408547276420527`*^9, 3.6408547915022154`*^9}, {3.640854833674672*^9, 3.640854840721599*^9}, { 3.6409410716139793`*^9, 3.6409410795829*^9}, {3.640941499916907*^9, 3.6409415148390217`*^9}}], Cell[BoxData[ GraphicsBox[{{}, {}, {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwUWnk41N8blZAkbUJZWkhSKSWkcpQSpfUrW0iSNi1apJJESZIkKaUI2fcl ZLn2fR1jzTJmGGYYyySVtt/n99c857nLe973vp97z3meWWF3+ehpQQEBgc/i AgL//03ZNiXdtNtWl7SdH5NO/k723t1r09a+A+Z7EjVm+H0nl+Rn7g9qP4Dy Zt+Dmx2/Ew+ebdGNdmuY7HvHu6X8nfi2PHM93X4RPT2L5WsCpshzo9WW1u13 EWhdr3HT+Bs5vyUikZl5D7vn7Z6eXP6NhPs/E8iockeAS3ouY3KS3HGdY7I1 2gOigZv/ir+dJGomM3/p23mBaf5rg0jfV/Ji5ldDi/anuBTWPkfElE/cf6bw ZSv8cNh7pdHnlXziOHYppCfzGYp8VyXMGZsgERe/fU+t8ofeS8vMAK8J4mrh tF8rOgA8kxOdvqnjZIP6Of5OuyA0t9hrakzySCDDXM+s/R0m/vo+V/jCJkm1 77aXWLxH5eLH+jtOsElFNlN7w5f3KF0Znn2dNUCm/R3VZ/WEwqF1kciRkX6S slzv+ZeJMGiss1VLF2AR6ab/PJ58D8e7m9H+Wjd7iNJeZ/ed2hHgahqsDPXp JhvzX7t9d4mAYG3Rtr2hXWRfbPftU9MRmPlSPvV1bSdxu3/m2rY/kZhj6Or/ TbuN9KvfsR8WjMboUfXohNONZCL6nd0H/WjcVrvLc1JpIH/lC23NHkQju+7t 997HdURGTNi6RDgGce8tlitaVpP9TL9jb0VjIXlvn+KvTaXE3Dz1vyNGsTCv qwy+mVlM7Oubj8zyiUV5pHqo2I4i4vZZ5uC1OXEw/xaREZSVR9ICwg32S8Qj peKk27f0VEJEy3bPOBSPsLzo2ir5JFLrNrgr61k83OMZgR7cGDJwfh0UFyQg zEaFpvbiHZHR/6T1a1Ei3Ouve7uev49VOe1bUk0SUWjxpP5t3XNs2vBr85mX FNaMfXk+4w2MZfU2NkslQeDH3e/93z7i3tcqlfglyZjPte3l/ElD/au5ltKm yfix57XZREEG5LYfeeIZkAyVg0q3gq9/gtWukalE4RQI5Oxf/CY/B56SfvP6 FVNQ+figatfhXMSxN6gs3ZUC8yX+CgHtefjhc83Cyy0Fjb8lfLXKCJZZL76a F5ICGY8XGuIvC2GwIcuH/zkF7pebpqJ3FiGweTrX5nsKjMcvbTV/XIyNch4K WldSoWGVbe9MK4XZqKLWRb9UqI5qpcqYlsGtsOxQREIqGLqSXozmMtTaz74/ j5OKgPsdCoP55fiqGR+8Z1YabETNd6mqVmDp7ANpd1aloXLwZcJb/wqcTfRn DZ5Mw5DvOQtp40o8u7fpt7x7GvhjKvVrPlTi0xG6pMn7NExl9ozcHq9Et6Lz ep+8NEx2q/6ep1MFoSlpg8LONNCiV38evVuFtZU5NlM/0uAfkHVcPq8KR98c v7lOOh3bt1c9CZ+swi3HP8/stqRDQOP5+YerqxGmGxrz+r90yNFyfOtMqlEx f2dRvVM69q1+PO3hWo1RJrNDyD8dP2T+qCW9r8bizAd8naR0XCroljLPrcb2 R8pznGrTUStZPs+HVo1TFpWK0dx0BCxXHDzQXw2ftee3d4tmgPFiTUfieDVS /8w5tmh1BlIWFD/L+F6N9obEi0Z7MnB4teOKiz+r8e/DIa97pzKgvVhmPutb NZSvT7zPvJ8Bvsf3vSt51Thg8CJrODQDdtp7FLR6q3FdZkvjCqpPNv6ceVit thpvua1DZl0ZMAzNEFicUY3iPJcZftMZoD+fmfMjqBocv6VLS2Uy4Z518fTg 9WrMP5m3aVozE9mC3SZjB6qhtdlm/8ZjmTicvV1r2cpq2AgL2Dtcy0Snv7Cc 10QVHrZ9cA15ngmh1qIrm6n6JsTqv6QlZ2L++8f/ND2q0HxnIFG0PhN6hjd5 YfpVmD7wqFx3JBNS1pI59wWqYMiv/h6n8glubbOChx0rcbnUcX6fwSe0H5x9 /JVcJYKCJNZIn/4EJdmso/8qKtCvc9TS88MneM9uKTdeWAF3z46840uzoKEZ NzXiXAbVrUrLprWyUPCX2V4qWoaW0Uv3Xx/LwnId6xtSr0qhailk0OKfBU23 rfOvx5ageeOGhoOzspHnUtS3M7oIbuxb6jylbIS/oI9KLCuCSkjpiye7spFx OLXq24tCuM6yNK+8m43si/o3q7gFUO550LdzMhtDLv5BWps+o/FFgz5jQQ4K 7+w9JvkjG3eMlka5bcjBcnf5o645WWjMSD6fez4H7Wk01dANmbj1pPOrRl8O XBbyfqp0JaNWe6OISv1nLA+dNEi4+ALOo7fPlg9/BuNEiS3b5QlWRJZV28/O hbt30q0Hs93hPO/4sw+7cyGgqFGh3nGBLGM/lJHNzYWtjHfPRMwbcvXFF1WJ mDxUxi2UWbU3jcgZKT9NKMujePzx7stKJ+V/r4ztY+WBnva39fTqTCJ7XiTj kUI+zn4bTpMSzCaleuo7ZrzMh/bzvWnWH/KJ9KjXocn7BXCZKL5jqV5KxJbH H18cXoBxu+E0FquU/D3ScEazuADi5f1P1weWkf5MaXcXQQKlQ+mV4bxyknI3 JuW3B4EN2+q75/0qEpFcmycfQeDz7E6m+7JqEtQ3XqlbQiAksOW11+dqUhAe cqVwRiFCgjnGFoM15KPIgLfgrkK8d+eZMpfUk/fLvkssOlpI3b/vrHjv6slr 7dkvFe0K0cX9HXJKoYH4nl//YbdHIcRV6mJXiTUSL0+sPhZQiEP/HbGu291I 7oUcSTwdXojsM9Fh3ncbydX6GzlexYWoOxTttJTTSBwHH+EVrRCyGmXDfbJN 5LTAm7JoZiEyXss0vjduIuabCpoqBYtgUJN0pzu6iRzd32jWsbAIsWMq247S moixPbObs7IIHH1f0/DpJoIgEa6YfhGibJ7fyt9NI9rJMldk/yvChst3gu86 0MimStWptaeK4NMybDDTi0bW9W133X6tCJ161nlGETSiPH1Q8IBnETLFe28b F9DI8kUnva1fFOHSOo99s9poZMm6axKXIoqwJr9Ax5lHIwv3PAx0Sy/Cni20 8Jczmom4zaulz0qK8H611Eq7Rc1E5GZsWGhzETwCDoW1r2wm/57lKqewKJw2 dWBqQzP5EVOXUPi1CCFHb0Zm6zQTflHvpqaZxfgRcM5BXr+ZjHROZPctKsbJ FSWhK42aycDXmeArFiOyRyCq3LiZ9IhLlQlqFKN1xFBG9GAzaV+lsn/R7mLc VHzYO0CN03R1mhRNirF28IbaCWp9jZmxmYZ9Mbacyr9/jdq/9IpN9+7rxeAq skJXbmsmBY+vnDr2oBirFx4OdtzYTLLDPTinA4uxo3FX5RHFZpKWG3jZObIY fbfyGmlUfgn0qG9eGcXYVHU6bJzK/yMv+86rUopPhOOlBKo+70VqZsTQi8FY ZJn7//q9Xtb9KLu/GE0pjMNCVH0DtMfmVk0WY4VbxM7IcBrxPTIjsEOoBPzd 34Y4D2jE6/yipVzJEjAu+3Pb7GnknueqsGmlEuhf2bvJaReNXM00SpDdUwLn 7TmxaVNN5PcSJbLEpATlglYymo1NxMvtb5P0qRLMuWqtXED1z5u96d8X3S+B z2AmuIebiFLCU7GF/iU4e+NWz8uVTSRp/ln5+aEliPHI3nWM30iKOuT0xfNL 0LvpWMFy30ayT/f7MbHaEkgIckU0TRsJPbzprOiXEgjoP3J2UmgkQxe8/IR+ lmDNhnsJPUcbyPy/Yx2/NUoRdrhuu75JHXljVz0yrV+Kq1sWewvW1hKlish/ P46WYnGU0MrzerVE299i1bcrpaBz12qdWVZDTqwsucJLKMXnt3FCoVmVJMkg aFaPUhnOR9RJ7rcpIdrxV5Z2bS7Dr9SoL9eji0nxvP3rO3eVYR+vJEBvtIi0 tv872mpbhsDXub4iNwrJn/Pn3teHlKHrtDAtmfaZGD/bvoVIlmPd+9z0hB/x ZLiNaRcmVAFJ94bgZ//F4c10bHWvZAWUoi9VjoolwVDeadOyVRXIyO+VeMRI QaTdvxnv91RA7foypd4XGbDhyX5460WN6zq+kOfkolHwWG+QaCWsxtdvypxL 6ZdVcntbZSrxRnLmszmcMqw3ZCUtXlOJzk8bpQ2Ly+Hz1Mkt0KgSk2Pus4Qv VUJfxk8+wKcScbNT8wOia/BpfcXxp+JVCF623n+8rBH2h/1KauWqwA87vMBX rgkLrx1bK76+CnpH8uT2OzXhcjZr2udAFRTmDi4XXkyDwpc4u2rrKkhZHd7C OUVD7R+n6tmXqpA8c2xuSQoNKvoCb7z9qsAkOifW7W5G6+mKGZXvqf32lnhE +TTjobffuVnJVZCTiC0erm8Gs05uq1dDFQTEQpF8mA7/cVZYWW8V4vrLu5f4 0aG7KF5UeLwKJiGFVipVdLw139ruOb8ahZ/1d4trt2DfHQG9kuXVkLJ3Gmq4 0IIf7yqiBdWrcXx/A3vRuxZEFfrN27WzGj8leT8balpgwjp28/6Rangptsn9 /t4CQRH53sKT1dAznePrv6IVqSr9BgJXq0HTOFP+0LAVEpeuSt0LqIZ1yGHO Db9W5PlvdSsIp8albimeSmzF+XQB9p+0aiSPxde9rGqFTGvFgR0l1bhASyCz WK2o+OGX6dpcDdO6SJn0n61wljWVz2NVw4rdi4C5bVDSlX/462s1Np/zHAhV aAPNtn9ER6gGfZ3bZ7ata6P0Q7zJbckaeLlzujZpt2Fcem/fRaUazHjtI+Cn 1wbbBObFkxo1iHyzQGa5QRsa9dymTXbX4K6ij+uAYRv0WpY8MjSpQc2pefWd FE45l7lou30Nwt12Tf7e04blfw+Hbbheg0OcHAUjaj//gJF1ig9qkF96rixP qw0Cq71zpAJrYLVKOPYYxedKrqKBWGQNQnTNmxdQfBmHCO1Peg1oZ9++GhNv w+F+yxMTJTW4/KMggPejFYUuU8P9zdT6nuR4MWYrNs4NcGln1UBI7OUig8pW hH1YL1z7tQZiXsIGofGtmK9Z9ZzMrMU3I63ZUr6tcK+2V0hfROHPypfizrVi 3EYgPkqxFq5tnxqtdrfC9utbrTeba3F6dnXberlW6Mk1H77/Xy16Gk+yN5S0 ICXlUvf1U7UYe708/VRAC5bvETt/9lotkvvpSbk2LRC4tNPz0AtqP8kT3xmj dFwR7J6nH1GLiitxJ9PT6GAEuYRoptfCUTd4S8Y1OgpJcqZ8cy2e7o71Ochr hvsChaHhhXXwymFtNiE0jH/Mud67sg6freeuEblIg63OsRnNm+qw3nHRkKgM DXqnfJd+PlqHsyTTRtqhCQKZ08beAXXwKDs4X7y8AVeMgjruhNdhJ8PxMP17 PRjd6g6X0+qgFJQ/EaVUj0KRc/dMaXUo9r0kFne5Fu7mbalKC+txUNUw7Vdt JcZHrurKrKzHnfXqxwbbK2B7X6JmzqZ6RB2oUj7LKIde3J5+/pF6fPqkvMOF WQqB3+lSRc/r0T/SLLE4sxD3Qv3vWC9oQNAJpzn7QpPgfm8yUHd5A7z31yUb boiD+wnzpGUbGuAh15DQm/ER7suW9/UZN8D4yWP28d3B8AhNNnDwbkCjsY2W Vekj8iC0fsHlfw3YKXRW8ik+kdJDIiaFzo3YZpN86ptiAylFNmOjWyNMjnmW Vm5qJKUbzl/88LARHSprhaybKTyv3ssjsBGtf7zPRiyikbKGlzm70xrBWuzJ 03xGJ+WHVi2r4jXi/tGZMt8dOkg52uK3fmvE+MTSS3//UHjDY+24341QK/M5 Pf2ik1TM4x15MqcJla9PDYXkfSGVDRkPDqxpwoUjQeYq/7pJ1aHd3Cb7JtDD 3v3QWdZHut47rmA5NqF4MOg13b6PjPICzSevN8HNNLjNKraPLPQdKJd62IRa ARdhuQ1MYlXpFXH8YxM6s8++fbqORS5JJ3c6Jjbh3ZN/q+hnWcTdoW2BW2YT 6ubZ6DRFsMhHIRX3sLImfF85v4i+uJ+M6lVZDQw0wfTKxwuHOP1EwH/ixRSv CdnqyZ9fLR0gi3qX1MyaasLz2SN99vsGiPbd81tVRWi4PZMvdvPjANlXG3Bl mwQNcdmNM1MbB4iVbG60sRQNgT6KpRbTA+R+zhypy8o0JHGDRpiGbBIoqnHA XY2G/240HM65yCZRZlYPnmvSYP4w9gbXn02qvyXw0w1oUBNpvbqPxiZdu1vW lB2koZglbXVlnE3GXvyxbTWlYZNfvkqv+CCR3HSw4YcDDVU91rKP9AaJ8n1n EbHLNNx0M7mRbTZItja+3yF7k4atfZdkFS8OEuNlFdfX3aPhvHj9wxL3QWJz aSx+xyMa2nSYR4MCBsmVfGnWwWc0hFkX730dPkg8xPWW2r6iofHbvcPlKYMk 8PjZI06hNHjr3nSXzx8k0XH+3h7RNPiGvl34tmKQfP6ZTV4kU/NtC89tbxwk tYZ9U5FZNDx/1T3/X+sg6Xk1W+0T9d0uNDiSy/gySMbZ6qcrKmh4Hy23p7dn kAhqWoa0N9DwMFw+/UfvIFn80KOZ00aDleXuzWsprEKPE/vVS4N6d6ncja5B oqPYvFN8iIYb7N3j9DYqv6u/XOTHabBOFzY3aqLyK1JMUftBw5z+2SpNlVR+ 840HIdCMhQ5aNhcKBonniesKR0Sb8cz+xkrptEESlBRyzG5+M77qlJc3RwyS mD+lvtdkmpF/xroi7AWVnzGv5MHyZvS4plbfvU/l93bxr5cqzRia4/PhPFXf Hu6OTdEbm+HtO3vvGar+E1sdzmVrN0N1ezrjGgaJ0GO/sCq9ZshMORb4rxok Uu2f2joNm1E7865lwWwqv9W9EiOHm3F5wNPizzCb6DjPMvhj3gyFRVd9Dtay yQlJ84xl55qhcua3/9pH1Pjj/tToK80Qlbaf3GPPJpJ/ryRvcGmG4dcUpU9g k6rBx3F41Azzk/bG7yYGSKSVVEyFXzOEXDbpS1cOELem8I+HgppR0+QqzAsZ IJtzc8NOfGxG7+7/9qTvHCASGw3fDyY0I+HntvzoBQNkKJL+9nJGM6JOz/32 r7efvPPjBd0raUbh06aR/pv9ZJbdsqehfc0wutz0vjKQRZit8T6rORS/bd09 K8xZJG+/tnfyeDMaF+5yn1zCIk5bjniSf81Y0LaSuzCYSb6Iet7qlafD8q51 ysuHfSQ5mX16mSUdNpmWwuqaPcRH6dqp6JN03Llo0frsWTexD/5nu+EcHRam i+zs2F1kiaeMFVzoEImQGnvs+4V4mu47eiKIjpgF/438y20nZn8SdUNpdEgu OHL+XwqN/Nt3Q3rZ/haUmpdcvyObST7/uLD6/tEW6AVzO8sjU4lzlJ0Wy4LS OV/WQNUkgYzMOGwWfbYFV34lr9kQFUI6s1VfbfCi3rVIXq/Nz7fIUGZI6RW1 QET9oc7R7iKcF9wvdVKLejeX9n2edbwNq1J2KpfoUu9ufp99jm47GNbamqsM WiEqu0GTrOiAWc4qU45JK3a/9U96MdCJ3VcEgpyutoK0hZNpux4s68lc7EHp INXa00vHA5nofJKwqj+jFYvmvO2/9ZeJoK0RWwzyWhG9Zipy/xkWxF/6HxOr acW0/YdTKZr9mN5/4WXAUCuyO9jC/TUDoOcsXxyh2AbX5qAw85ohhJc/bfi4 tg3W/gGtb9Q4uNw8/ThmcxtEq85KRfhzIMaj/03Ub8NHlsmcscNc6C1/PJR9 qg2RdaqLu4uGIbF+Kjz3Qhv+iPQtyFo6gi9bT1kXXKN0kVW36PqrI3D+bwet xLMNr6eISaccD4leE7n1EW3QKWuaW2g7itsvbJyb4tsQ9K8o+G/iKAzDajbS 0yndptAakPVzFP05Hz92lLQhItYtw8d3DEt5Fs/6WW1I02gOSTw0jqGf5UaD w1T8cZkO0SvjyBTREOJ+bYP2a2H5l8/GcXi5xK2xme3o6dk6b3vtOLz+K7ab VmzH9aUFytHbJmBiu0H+z9p2lE7/Dr94bAIrLoa0/dvcjrHSO1XWlyaQ5+Vs LLy7HZ+Ml3Vlv5uAzwuWiKhxO2aFqHSvzJiAWdjhIjET6lzX6KVlVE2An6Oq Od++HTOjF3Yd5E+gsPzV+ELHdrgFTrNMhfl42iwUv/h6Owyi9JS9pPlQ4fUs k33Qju36hsGWW/mY+rm/U96X4jvcvVTAiI8SkZzA5YHt6I+3dakz48Nm+YvZ ypHtCPs8gL6rfKxbL1CqktCOAsGGIJV7fPzcetFtbUY7dovtjwj24aPcoFNb La8d67ZNz9nyko/A//Z+3VjaDhvHVz6/3vNhZ5uRuLm2Ha0G3cO8aD42XFxx VpPejkvt5+bNTeHj9y2/lVu72nHELGzQIouPaq9fXdv62yG35PGtlnw+Xr84 +0p3hOJflNzlXsLH6bCWIzsn28GM/adjXcnHpsRd4rt/U/k+ed94oZYPgc/J 5QZCHZA7XTac2MBHfbncfSPxDmgkvRpRovER0vx4m7FkB7zqf+ymNfNxnjH1 7aBcB8YHT7hk0fnQ4p1KOaLUgW38WNlWCtcu26Jes7YDXO+9C3dS2O6oSNru zR2ICor4NYNa/+NB26YCnQ5oS5UYLm3iwy8rJl1rVwd8/xjefFLPhxL3lkaq UQcu4fACsxo+cuT2Z6oe6cCnst2JbhV8HDwkpxlp3gHbM7m8mVR+/fd5n+Rt O/C12/D+EJX/7YwCrVdnOvAv32ylWjYf8wefZc+/3AE4/wlqTeUjasnJrT7O HdhtUZ/CiuNjm/GmzzPdOuCQmWJsFsFHo9vMbXcfdkDwX9LRzW/5cEil5075 dmDWgqrMWwF8BEjdzOe87QBf53fgAep8VYwMdU9FdKC0XW1d73U+Cu4sIV1x HXCLMzZlneODw8gtbMjpgF5Xg6jxUT7cFj3daVTUAdf1ur8z9vAhaWBTXFzZ gezrMA/W5kMvXqA0s60Dow/MvLrl+Gjtbtq9oZfiY1MmvkuCjwvzI8pi2B3o 1xOyX/tvAkE39lS8/daB5Ecn9wX1ToAHn+r7izrhIWyxaNHbCXhcPb7/19JO WEqaz+j3noDMx3W111d24lg2mXfQeYLqy4a6M+qd+Hzvv60/Dk3gDX1R04FD nQgfuZY3/ncchufetS150glxKOmxDowjIiClP1XwC44Un1os583DPqUf82rF vqBIyigx7TAP/ExsYy/8AteCBSUbl/Cwq6P++VLFLwjL6jWcETcC5jKerqf+ F4zf2nO6pGYYKxPXBJs8+ILbs7TrVaW4qNZ1Kr3k+wUvnZEUzeDgamP2mHfg F7g/eLjmXjwHxV/3GuRHfsFaWman+S4OTuo4fF1V9gWDRuY3L98YQlhF+IHv wl0I3hmvFzPFhqEF12WBRBeWL9F0qK1iY5yrHrlWqgvz0wx2Jr5jQ0+iaPqE chdaN8UYfd7LRq9Jb3SlQReEst42PPs4AC+2cjPzYBcmUz57q9wbgJrLpb+/ TbsQvf2g40eLAbi9/WOifqYLtIt9G6wXDECBKSv45lEXRNfqzNf27Uf5tVPr M551QeGVvZXDxX5cEo43r3/VhTxo3nt9qB8FKjrJgjFdWPl0/ofF0v1w+Hy/ Uy6lCzPfqHxz+M2ChHGVsFZ2FwL3n6mqZLJgc9nc6kJlF8T766Wq0lgQmRH2 6GFjFz6Palc6hrCQFDCYFtrehWO+1efWPmLBVGlDTw6jC5++P90+6xoLfzOd Z9OHulAnk2UlaMtC1N4CjdHxLrQfvVKkcJCFgx3CtqI/u9CvHb/dZgcL734H fto+uxuq44dmHljGgnKFweTGBd2wPTtG11lIxXv+Q33Vkm6s2Dyn3ECEBS2r uMtLVnTjds6eHqdfTBQqWyXOXdMN5U+TM/InmDCcmDs8Q70bGurz+CocJppy icqUdjcezF9m/KmPCUsvJweuHoV1NX1Of2GCeVgxssewG+NnBgW1Wpm4INvS RzvcjfNHdnFUaUxMDngtqzDvBru02XhnAxOuKdrWubbdGJWKXXK7jgnhO9w3 yWe7cULfTKallgm/PSHtEVe64R0mPHqEGpeaf1DqtUs3mle7yo3XMxHa+e8/ X3eK39EtgslNTKh8TH3u7t2NBK9rnU9bmEi9fKrhun83HspY5j/pZEJHZ/Hc c6+70UObHRbNYKJYqGKfdVg3nCWKTBiDTOxvcPE+EtONqIP/fDTGmaAHq5bv SelGxsmEhvCfTFjZd83Uye5Go4D+0zVCLAyo+e1UK+yG7vDfORXzWLj0E/dW VnZDyUXi6i05Fr6XTORJNXZD9k1Fia4qC+5+EdNi7d0QOMRgSW5l4bniLOev g91YKvbfNa4FC0tHs9MHx7oxkKgkOHCBhfDs8xNfvnfj/qu692w3FjIO1DuW zupBgrXYl6/RLOyQcY/LnteDv6+evfqZz0I5U30oQboHjc5OIdN0Ftpuvjz1 cnUPjtrtOtknTOmZD1aWDnt74HK/82Tv1X54Okq8tjzUg7MHLCut/fshrlXY ctCsBysjaOqfk/ohX6t4ROtMD6wOHNn7m9cPvSnuXtFHPbBrWK6s6jyAqsKQ h7/9epASu3CxwpsBHH1ysGQ8qAchZ15U1RQM4NTyNN2OqB7EXFrmpSfGhte+ W1viynvw9u4is78xbNS+n6VoLNILnSUBrD8CQ5B/Jr86a24vch0e2f9RHcKl e5vXrlzcC6+8PQuOHBvCfNsTm38o9iJI3vkLI24I/63I0o/c2QuBEburiyw4 6IxwsP/t2gv/qEs/1fO5WBvoevbMg15Iycapz+Jy4fogwJH2pBcecl9duqSG oXC64HrMm14MTwbbOl0ZxkllqYcm2b3Yp/jf9viVIxiKKfuY8LUXaZvy3Z+7 8bA1+Eus9K9elJurbWyN4aGs9IfpzhkMBN9Ksyqh8SCVKXE8QZSBl3/DAu6v GkX2S51THtIM1EtUXf5eNgrG0z0DWrIMxCoqcTgjo5jtdfgMT4GBuNpQI8tF Y7B0drhgrsyAzz9BwTCbMfwyDbimtoUBgx3/1DaOjkHp0LtvLG0Gzuhx9HeK jsN4b8zN4O0MCK2KWr14yThCtAruCO1mYP7O/JPpW8ehK8P17DzKwPThLyqP nMfhMP+bsL8pA1tqZ14ueTCOZ6IC3nssGbAyM8h6FTAOxo/FviknGfBVMnf/ lzAO0YnlEg6nGbj0Kj3JL2cc6py1/rLnGCj1j9NJLBuHR8fOQK8rDFg2VSn5 d41DY4b3Bd/rDDzc/LV+89A4BlTqdwW4MMDZlaRn9HUcQYcll752ZeDmnbqZ 9X+o98rFcuKdOwMPpJ4mk1kTmA4Nq4x4wEChZseQ7IIJxFewQ2O9GVDJD7Bj LJmAhPS1g5n+DHSErFMNXkPpQ92cVbmBDEiGjq56vHECTg7/fhe+puqhcbKg XXMCK/320MtDGDgXJTT+cPsE6JlP4mvDGKBb1pX77ZyAV3eTBy2SgVYvG5uJ PRPQFpaxbI9hgGulz4w3mgB3nY16TwIDW6OV/fKMJ/DWJFK0P4UBrxrRpBXU +2vsyu3lZDAQten6+47DE/gbsTFrLJsBNYmUWuaRCaTUOPt9y2Pgr/PEp21H J2D3Ne/0r0IGUnp9Rv4/Lik7c8eMMgbGW5ZItFHry3YZSc6qos5rbnqdFLW/ 8/lnw+J1DHxOFx8Lo+KrBLQUL2xiYOGfqL3XKX6dObJvZFoYWPqTX/CM4v+k 76STQgcD217fPMjXm8D22TGGSt0MHOBMznhL6fXRjaPLVPsoPo8efvfeMoEw c43vGwYorF1wIldtAkfcb9dv4VDnkVJzV331BARjCj9u4zGg4O4XzVWYQEaD yN2dEwxkqmTuYS+egMN3Y5O936j6H6Q3K4pPQHrZi7UHfjKgPvsuI3zGBG5f WtZpPqMPZ8Kk5tlzx7Eu6HSqjXAfFlqXJ37sHkd3fry3/ew+fKoMKV3dOA69 udpaVxb04cSBvSq8tHHwNdwknBf3Yd2O/b4bIyg9Y1U6cGdJH5beGQjKoPpV JOFw4KMVffi7pjvi3uVx1O47N/FevQ/arVM/1y0fh9vV5MrILX3Y2+Rxxl1s HBvefAuN29oH136h6Y1DYwjg3D/4aWcftr38uELDZwzm3m/i64704WB5hPHf vFGIpTA8mo/1Iea6zbrVXqPIbVO27LDoQ19KlODwgVEorE4XHTjZB1HbbxqH OngYKKs5/dupD9jhrcnqHcFtgd1h+Tf68PbwP9Oo8BHM35bX6XarD99yUjKM 7EewPSXh0Iz7fdhfZATd/mEEvHm6VcS/D+1zkn6gjQtcPjR3flIf5jo60oSe DoEeW7G3KbUPu1kHkh9jCOf74RGQ2YdR2bo3ahODCLLY+F0yvw9mwVp1w0cG MaK/oG9JbR92RFsHFsxmI1imOUOR2wffI2t/2ZixoPbf/rF+Xh+Kp+NOHKT8 cOnTkjVRE33w3Jx+Pz2SiXHBjPcqP/vgItRaOzXWBwNeoPd6USYOe97YO+c+ A1+LTK20lJk4y1jYWbHqCw5c6Jy5346J6lU2Yet96+HY8vSFlQMTIbcF/Osn a+GDnYqXzjPhUhj9NN+mBpWLYnY9v8qE+96xvHlaldiVd+N+mwcTtcqMmL1/ iqA9d8G/UxFMzJcc05z3PRpmN0v9bkRTvIJfBwuuD4dz302FR/FMCEwO62zp e430zJ4dcekUbhFe93GtHdRsElzHS5hgpGlEOJNIopS8d9q1nwnRj5vfeAcX EP0lvx77DTGh3ZvC0L9dSOw8k5aEjTDRX1j51jW8iISaLd5aMslE5JNfK5KZ JWSpAOvmbGEWjO3/PDdcVkm2ng+aJTubhR9Ve0MKllURc7rRq3VzWRAKWtKn tLSavIxJ+XRoMQuv14/WO/yuIfOPuH17uYoF70exh2yuN5ANueoPo9ewULo3 6fSP5Y3k4KoByZz1LJh4HLI4/aCRPPm5X6NrCwtWZxY4Cu9sInGn/pXwKN2g 1nm/SvlNE6msS/vvH6X72N6KxyvHmohI+JJrKw0oXZj0oeOCP42sEq8T1NjH gk9g8BmbLzSy29k9YA+lGzO+el9MW9lM7BibV5odZSGsVmfGSYdmcn/fYOpZ UxbsTiZ4n4pqJmEZb3betqTy0/78OZ3ZTAoUDjY9saH4Hy8L3S9LJ7/5GeNJ DhS/gCBsv08nT269e5x4noWNXwvXFCbSqXp5rUy4xEJXQvHRN610Eut1KTfu KgvV3sEh5b/oRHuumUmsM6VTD/7S2infQipegBd9m9JJoTmRIttaiOlSFa8o SvdIuCqkLTrWQthh85d99GBBw2rnvdMXWsiN1T+zIrxYuM0wufPzbgsRSuo7 HO7DwtU5vNN1vi0kUKOaE+bHguG/HYd6X7UQxdw0j9AAFn5r//d6fWgLSdv5 VvZ9EAtu+vj6KbyF7Kz0zAh5w4JSj/6p2xRuPOh44O17iv9z/vab71vIiRYT dnA4C0fT9ignBrWQ0eM77r2OonR6RaqU3JMWcpe5SuZVHAv7Tm4wK73TQsTP SaS+TGLBz2iHR9TZFvJ2bMookPIBjau+eJYcaSGqzr3MgE8scJ1dg+W0WkjO 74o7zz+zECA4eSRdpoUYeqZI+hewIPDR7OnjKTppnx2c6FfMwpWnXa4fGunk jP99g6flLPQMxYf/iaKTKanzvU+qWcj+m9wUdotOvN4ddfGpZ8G31GK9nyGd LFbatuAxjYVxns2aqkV0EhmnGPeoleontyuPj31pJpvVxfW9OqnzYXFstUKb SXHW5JcHPdR4pMvCayeaCaO0bK4Hm+I7zZCZ00Ijl/cnRblzWZBLWJ/n5EMj f5uCcG+UBbHK5y0G22lErveMk+sUxWdV/HGTl00k/vRhsTvTLOxy/3kveHsT 0RnRjrj1l9o//5q3A6ORWPyc3eIs0o+p6bsTGfKNZOge/+INsX4slx4s8rnU QFxEvohcl+jH0B/J8O9v6knQogRtJ6l+5F206fveW0to6w+GXFDux/jLsCQP uSpyMkNzy3nVfjD0b3HHZCvJuM6y+rNq/fjxo8V4++IKMs9w/N9pTQqfUFlW /q2UGNsFnLI16IdMk7zMTKdCUhbUqnrMoR/z33nOsHsRS7Q3TijPoy7d+aVX 4/v9I0lC1RzFKsonhvUmKcX8fk8CfuvJ7rhB6eSSw/89i31AbOzi56x60A// 7jVf/NXC8GO9+8jkh37ICd7rUIopwLqyNUmB3f1YN1O06XVjM0Jtdscd7OtH bYojXzGYjoU/bKJEB/rRE7/Lf7FdC36qBr53HelHTs8OxuRkK8r9//rZ/6Ly PbSjaJl8J2ytmi9rLBnA9eAVHx9SuvHFV1d1uskAVr7caTL7EBv+eTSPHvMB xFp5mJhksOH7UIU+ZEX54Lu97r0yg3ggTXf+Yz8AqdZbD1/1DsJ529o85RsD ePW7fUGuHQfmnh0Gt14O4H1H+cyHW0dgYrzhtWfwAOorU6JPPxvBkcUPOU/f DeD2/DZxqf4R7Ive6BtO+fLIs7oldY952FbzqKkmcwC7rOUtv1F6WDuwe2Vr zgD+Xj6akrxgDBrWm68z8gcwtHSTubjVGNaN9Uh9KxsAIynI+vXIGBQWaVop tA7Azro+WMdtHEu7niSqdA5Qun/JM+v345D62Pd3Uw/Fzz55O8kfxzytpx/2 sgcw6ru7X3N6HOICLP4R7gD4t/9bZiQ9AdEq7d1WowMI6ZN5GbB5AgLH+9lX pgYguEbJq/TcBH4r6mjfmR5An3xVV6znBH6OPHv88O8AZtosX1UYMgG+27Z1 b0TY8Fltv/R27QRY4QFOJVJs3BNj9c1YyQfjwlBx3VI2/r5L8TLewkeXhq5k uwIbqwfT95C9fNDLOZ9GlNlgVmxbvfQ8H43PIPpdlY1z6pg14zYfdeYvLWZs YOOG+APXuY/5KOfq/V6sxYbGux8eLyP5KE4POrB8GxuWwddvzE/lo8B15L0q 2DD2ryTJeXx83rNrXEOfjfY3NXuuVfCRJfF6J/ay8eFr2T/LJj4y2ngBRvvZ iBo5O+3QyUdKmH7/f1SfFPSXmr5i8pFwLniLzX9shOzYsW+Ew0fMpjGvs2Zs yJncVnAY58Nb4uY2teNsdKwSu5fwjY9z3L9jX23YaHia8Fhjmo995V6ROXZs CBr0xv79w4dquITFPQeKT/shyzkzvkLMLWjunvNsNHKrlY7P/AquhUKx2CU2 EnVUw0eFvqJ6S5RzoxMbbhY7b5cLf0X8ArW1QTfYeC1XdYpFYV9eZu/xW2xs qDFSMqCwY9WOwBV32WieLeQ/Ru1n/LHMcNCdjaSH7Y8ZVLx19w/8SXhA8bFT m7n0Hx/i1i2pV73ZkD7f/ivkFx88bWsHbV82lov9vH/+Ox/1kgNL/z5jI3rB QKonn4+kcceGkhdsrNgl/Ikzwodf7aTn41dsOCd8Kn/H5uNyjKv2obds2DPW qH7o5ePwAyGeZCgb4eN6Gt/a+Nho6/uhM5yNnwcdDd428DF/u6RpWBQbRz29 GgLL+ZiQDhFziKP6oyhpP4s6v7SG+GsTqWzoqi8+9DCaj4D4zSpZmWxI0bzn db3l49qj3C7XHOo8Gldu8XvGhwZq9ogWsfE85nnCnBt8yl/8N11Xykaunc3b Tgc+Jqc6k15UUv16mK0ibs5HZhJXelkjdf7BRV3vtfkI8rla29/MxrTZir8z Vfhwdph2j2tj44ERP71Zig9NBTHull42+r8bHsjlTyD76Zo841E2vmXNeTMU MYHX51KvLORT/T47+1qv3wRu7dm6qv0bG8t8TjQcvTUBnT+Gfqf+UPX4WpKX TfmZPMeztrfFB7G9r1Otgkf5V8NxSb35gxCXigscpI/jrpJLlbDkIPY5zch9 nUv52a5Hm57LDiJMtvBv1qNxkP3RQjGqg1DunNOpKTuOYlV2TIvhIF4ZvPht eWoUixQjHLyNB9FdQC4+WD0Ke1lbpW2HB9ESvs9uwzAPwuKdoWFmg1j6TcNx uRMPhry6oAsOg6AJntKQcBlBQ3LmgxkPBhFQlTssd5NLfb8PbdeTQTjOmHdg M9XX69fvUmAUD8KvXyP/3QqqT1f9+xJQPohDxz791e0bwDKpW2Y/6gaxP37T f9tOUvfWd8eDJV1UvjK+15Ps+8HJMdluMT0I1whFlfG7TOikLZie83cQGQ+T pTfqM+ETV59VMGMI/S6lsVOU7l731nCz0uwhWDmPRa0J6sMV1+2qY9JDCBWV bAjLYmBKV0nm4ZYhDNZn2VZr9KDRQW6t99Yh2F7qjGLVdCPOT1L3yY4huDRd Ottg3w2bHiH753uGYGZ87wZCulB+dyD53bEhWKxYFH985ReEfewuDrMYws7b kw79lZ24XdfSEmE9hBjlyuN3nDqhJl/+K/b0EG4nXv82UtmBl3lRez/dGIKK UITaveftuNT/3jLnFhV/1LpS1qgdhuKvLubdHYLHhwNJE4Lt+H380Yvih0PQ Pnsx2+JuG1o970WVPR4Ct4tn+nVHG1Lib+ZUUr7ntlzQlhaBNtj/OtNb/3II lQsCn9192gpdRVt+U/AQqk8+0jcya4XMfnPhlndDsPG6EHNGsRW1bwzXfvk4 hLUHNJsjilsQVayn2xM7hPejA96lL1vgztU+0pc4hFl3mPU7LrRAQ2fNzcHM ITjOpRdvl2+BhN0KH24Olb/5CcmSn3QMPV7yjpc/BJHC8zsi2ukoTl2QMl40 hBNiw21dOXSEdMwu+Vo2hC9ejhqX39HhPEOwdapqCKe7NlpaeNJxeM300M+6 Idw8aTLrzQU6VI/wf/1uGkLR9HTKBlM6Zt7iSgi0DiHrzgNPGX06usKYK2Z2 UvM9K+2ObqJTPrlTQ6RnCOKNFtxOxf//H422dzZzCG0CTReTpek4L1NjKc4e wpNChZ+1c+nYrVdycR53COcODhzeKEKHwtlc94WjQ9C17uC3CNDx41n6i8X8 IdB0VaU+/2kGLSs+SmZqCEmHJ+LbfzcjoTciR3Z6CItDY06s/9sMr1khtQp/ h7AkLeZV+gw6bDcE9q4Q5EDZJfGGwyw6dMx8+UoiHNzSs2vTm0eH5L0Hwipi HFhkTZruWELHaJSrzFoJDqRbkvabrqKjsv76WrWFHNxJeVX9cDMd4VOOuupS HDxSko0uo/J3VTh9RGMpB3O1s6/No+pjamBtr6XAwRzNTx5W5+nYeOnYTZ2V HDjbM9gf3ekQCzrgs0OZAxcDw+v9r+noz9/zTk+VAzdTiaL56XQUDOxI0Vfj gKOorqzYQIfTFrVWI00Ocuz6r3SKt2DDFXNjUR0OxB+cPLFyXQt4cR7F5Ts4 UJd7ee2bcQvOLW9L0t/DwdMOJ+vlL1qw+viMVYJGHMyW/u50LrsFAy/Xvi00 5mDN1YNrl/e24OQc90c7TDjQ95+xL2tjK5YZxP35ZcaB5+Hf8Y+Ot6LbnX7t 83EOSlMfJX581AqLKRVbrVMc9EaLcWJYrTjS16StfpUDrdEcdntsG+bJ/U4a u8GBw62t3xR72lBnqrwq6RYHvgyNhhuL2mFUe3vB2vscaHPmLhS9346dWYpc JX8OUjzds9scOqD+9MZbmSQOlhOVR8dMvmCsInRBWyoH14Sfm50J/IJEwepH LzM5eG20RbWb/gVrXBSuL8znoL1r4kSVaRdWnKowFq/l4I9sZ+8V624s2Lrk 7z8OB+GVny7sdOxFwzX96wU8Dp4ff9Vhn9iLp0kXua4THLzPc1+pM9qL2UrF rT9/cGB7cWmwgxYDM+ZdSP46i4sbn+9uX5/JwER/nu3gKi4Kl1hcjgnrg/ah leum1nDh/REXrxX0wT3n0XchNS6OHY+cHfOlDxJ+R/1WanKx8F6x9GZJJo79 yLJQ1+HirwprtesGJkLs5Ffp6XJxb3u9pOQ+JlS1hnKtDbioPqF6Woq6b50+ HHjkuI+L3Nk+fddeMpE9J/3onYNcDOyeeUkkkQkDxl3Oa1MuVPocE1I7mHi6 j5URbcml9OOYaMEoE/QMQ/dPNly0tyyqZQtSvvnxImm6AxcjG1zyb6iwEPvV hck8z8Xg3NW6jZRvH7fuSZy4xEVoTEzNBsqXa1Xq3xK4xkXp3X+VfhaUD90U u3se9c5wLt1IHTzDQlmIxHyFO1yI796xZMsNFsRnXf+y7h4X4Z8WJDndZ8HE qSNqmycXr782ab32ZeHtF92r+x5xYfpQNjiC8rXMPZE7LJ5Q8QL7GvxCWVBN mT377DMuaE4zpkyiWXBaepnu/IKLoWP0nROJlE97QA99+IoL4QMFIifSWfg3 uvVC4FsuTmz7nBmcxYKBRahmRCgXPTxmdwjlU5+WCAmmRXChqvJznX0eC/T1 5+sKo7kIC2dfHqaw7OuG1w3xXPRzdrxQo7Cd4Bb7nmQuVi/KilhDrY91fLOB l86FvHZsfTvlg8db/03/yuLCP9HdTpvyyVo7T5eL5XGROaTesDuBqk989fMl hVzUisRGTUeyUL54o7VKKTV/eMs70xAW5rq/VNGq5GLF8OTjY5TPN+FOf91T ywUmN5+Z9GIhxMSWmDRyob2RfnTjbRZYBWU+p+hUf0nE+Ik4UvVZs9b0ajsX gal17tetqPq88F9xv4uLz+nCGTf3U/X5823kGYOLJh2R9rnUeRrQCj0Th7jo dOu+wJ1H1WO78qG8ES7Un0dMrftJ9UfUk6U141yYBIfETDOYsLtjmjr0gwvP 7+pW6glMxA7kun7/zYX+lcfxr54xKR+3wlBkxjCiB6fyPZ2YuKc00qM4exge V+7c4GxkotzvSNymucNo/9z/4aQEExI/P93YuWAYkzePhVlx+xBSd1/8xJJh FEWOt3a860O2s7TOmzXDENBcsmeCz8CVP6kSQeuHselFwN3jZQysfmDMeq4+ jEjDPR1mQQwEPb/v+3jrMG4U/3ospsHA9YThHhejYcwbFWyeyOvBus1e6dcP DMNFdleIyv4esHKWe185MowGq6V3g1u7cbTimPpZi2HIlMmNbR3owkYm8TQ7 Nwz7nztu/+jrxNBZS/P/Lg5jyxJaj7tlJ0LHJtcdchqGq674iwuNHZD4s6bV 4NYwLLcHWN7PaMeIdKCK5uNh6t14U3TZphUxB87WScYOI2bMSHaXXhNs6YLh 8xOHsWtxppVLQCOkj79zFk8dRl5JbpBqWQO8ztKWCeUM46jt1EzLn7Ww99x+ 9WvlMNQ28d+Kba7A8pz50rShYZhePf3irMAnBCvl2D5TGcFk3dWdrb4FRKPg 4WuDdSP4uk15zb/OQtJodrTxz4YRnFPsNjt2pZiIPhmGo9YIdh/yfcYMKSPO E/LLjAxGUBmdWZY2XUOOFnh0C9qP4LbzeZ62BZ2Mmh1a/PnMCJSLEuu8FFvI 4wnZA04XRuC6xTPmNK+FFCpl5vVeHUH2+l/PPtxrIxueDL7Nuz+CjR/5Jz+E dBJxc2NL59ARvEo9uS3KlEFiJmQC1keM4Fn0pme7MhlE/8lAVX/UCAr7z+ph UR+5XeC29b+kETgk2rjp1fURjlKqzMb8EazjeNWka7NI+cTiNk7nCGZtwmfx oQFi94Qp8aFnBLY5d+IbtrLJH6VkA3PmCLrDg1a88GETDXPDT+UcyudTM4XX DJLwgtsvI36MgKU6/XqGxRC596T3P2spHtZVTeh0u3NJpMkgw34pD1btabYe ZVxSKT920VGBB1dJkZoQ0WGyMOXvozvKPESK3k6R9RkmmrdEFnuq8jDokv7u RuUwOb5LItxHjYex5uyMDcIjJJIunxesyUOFZnVqyq0RUvVuldEHHR4uyW+W upQ6QkYd1rfG6PLg3Ds/3GVwhGj93D6eZcCDX9/25FMHeaRa3kqp1ZSHpI7r s5bNGiVj7FOp3ZY8LA3VXUrbOEokUy7oDtjwsDL90Nx081FiveuO+aQDD1v2 fcyfCB8lHnM8B36d5+Esd4aTUdkoiaL7XJ15mYdvRU4TxQOjZNzhje/Cmzy4 XSY/5q8YI4s3hi9ZeoeHcqGb6YxtY0TnZ2zUins8RPy6GlFpMkZsilM3r/Hk IbDza0X5hTHi+SSncOMjHvyzVxl1uI+RGJOiA9pPeJh6f8Tl74sxUitf1Yln PNydNadR4+MYmWA3ntn7ggcXJ4vJ2xljRCqlffLgKx40xXrSGorGyLZbjPum b3losv8muKlujNjuGpKwCeUhf0eL8IfWMfJgzvjb0xE82OyNEpHrGSOx9O8q F6N5SP8dfDucNUbq3/3LvB7Pw8+bvwU0BscI32GWvmsyVe/9u041Do0R6Y3z Gj3TefCyXPjyJoW3/5SyfpLFQ0Ha/ow1bCpesQI3IJeq36lZswf7xsjDJ8o3 3xAq36NBwilfxkiciZpQeAkPRYvuGDxspuLJaz6PreDhes6JgDNVY+Qre4dC ag0P9bGzOs3yx4hMyp747AaqHld3aJslU/FuHdAubOaBhOdNOISOkZO7jpVV tPHwNVz6hvfTMeI1x/powxceFr4Ltsy/RcWj2/e29vKgdlbJfpb9GGl45+jY w6L6zVPs7lnjMTLpcP3nwCC1n9JADnMTFW+jqxeP8olTJg7mLtJjZMdPz0Xf xnjoU1tN1k6PEq8nL9YL/eAhrX72/qmcURJv8vbznN88THO4sxa9GiWN8hF7 FwmMIr5xTp751VGyJCXt5ErRUcQdUxy/oDhKdG99Hl0jPoqCotN79H7yiN2u 4jvq80eRxGFu21/HIwn0ppd6MqOQM0q2lbzCI5kpc7xmyo1iZZ7WY7VdPFLg u8e5fNko/BkT/RULeaRhd46pMeVzL+ope3sljxB+Rpi0ueYoXpzULn3XNkx+ +XfOktUZRVRknLDs+2EidFHyR/eOUUjdnc/UPDVMFq/ybj+1h8IDByStOFyi /fJy8GWTUXzO5V7qHuCQnU6xjzeZj6IjX5TZ8IFD9h1g3fp2fBQX+k0LvKw4 5LiwmeUdynevnvHKzLR+iLjd0JV9dHUUOpPXTRZGDpKyY3PfvfcfhXzKuTCu 3ACpV9/79GTgKBwW7OrPqegnrXPv31V6PYobiQWIdeonQ2WT1nGho9iy1+z5 jBIWEdfsUviUNAoP+SCRA1ZMclQqPqyudhRbHyue0erpIT2thpG/RccwM3FR ZcETGjFryHqXID6Gk+qJxTcqmkhjhfIrq/ljiArpeb1qZhMpyRbyyZMeQ/zv R5X7vtWTmDeFl12VxzA3C6Vb2iqJk432tt/6Y5AI8giM8MwhXNNojYS9Y9AR LxHzevyJ2B+SUrPaPwaFVUITzwPSiane5PK8o2OI3F442W0dT3RWpoi4nhxD yg9j/72p7kSIvZr2y20MqieFB8y0MnC3J6gm3oMaz+hdpjD0CVOtwmXHvcbg 9dROpDwgB5wKVlbuU2q+xvhRiZYC6jsIfXcnZAz/o9i646l+v7h8KyNJSKKi LYlE0tBRGlRGSMrKSJFVEdmEJEoZWUnIVkhW8tjZ614jMrKy3X25y+/z+/O8 znmec877/T7PveePzwXpky9cg+rhSqrg+yMpyxARpRImVNsA1Qk+kUNpy9Cb MfRwhdkI316ZPD+Tuwye8RHSFjbNEOe43Y5Zvgzn79LFAzd0wFbbEKvcn8tQ STXKct3XCWHmVBOTGqyeFkG1t7u7wEcXp/OjaRnCVM/sLFXsBivFN8pe/Vh/ nLQXPGo4GDrMOXpkaBlKj+ds3VqBA8O9joeGRpbhwS3qwx/KeLgsck3izPQy XBN+3NW/txeOUDdyMSnLsPfQEU2/v30gv6tQh7myDCoCXy6WGvTDsUsmH5is ZaDdPsGZq+2HhJZbu3y5CZDRYbZ2JG4AEkfyLvquJ0DZOhH5o5wBSCKtc/Dd SIBo4T8zWy1/w0eJvApffgLozfuKPNo1CCny68Z9BQiwf8qp9e/TQUi9YMTn J0iA2kfXUva2D0K6PZexnzABDJPOP1/vMgSffW/6+YkSwOD+yUvJlUOQ8S4n w0+MAN0uF8JXN/yBrApDqp8EAdLxok6zr/9Adkf2Tv+dBFAuC1R41vEHcsY5 Gv67CZCUG1JXzT8MuTSDh/7SBDhzUyOwSmMY8viz3/nvJYB0YZbwo2fDkL+b U+6/H6v/9hP7/txh+HLc4K//QQKYquzvIAwOQ+EdtkKALAFw+TmGZxRGoMhJ /1aAHAHuxaa+dDAcgeLATN8AeQKUZPot6T0dge+xrM8Bxwhgf0dYbzZ6BEpy brQHHCeA+KfdzSoFI1BalUEJUCZAbt3u2tNNI1DWw5QMVMHyNXAItD8jUD6t pxGoSgBuky5jx6URqGB8tg88TYByT3etFNYI/BBkvg08S4DRCF2LdzyjULlX rzzwHIaHTnPg5S2j8FPl81igOgH2mq6bQSKjUHWVwfP8AgHq3+gKcm8bBWSu q/D8IgGCpTqREOavfpxu9PwyAR4ljAoRNo9Cbciqz3NNrP7WZIv0DaNQl6Dz +flVDN+3JgbHGSNQ/yWt7fl1AiSUr/uTPD8CjbUr5Oc6WH/LvorLv0fgV5+2 ZJAeAZ42S+NkGkagaS71QpA+Af7buhByI38Emjl0uyBDAoRdXjR2fjcCLcLa b4OMCBASEJgQ6joCrQdTy4KMCSBWmvw3zWAE2k7TR4PuEEDOZyNvE4Z/u851 nmBTAtwxC5Fl8Y5Ah9Un+WBzApxo25t1ZXQYusOu+QRbESC1qOOpxvNh6ElO SQ+2IcAF7lvN/90YBnwRtTXYlgALRns9mJLD0Df4USLEngBCSemJ37L/QP8S 5XyIAwEi9wpwhTj8gQHuq3YhTgQYXLc7+ZvcHxiUpZSGPCaAaxFr9vLnIRj1 1Lz5wpMA8rkx6bYeg6AfpyJ/z5sAhC2Tg/lyg9D4fT+Phi8BprfcmV8a+Q15 BK5yTgABJBzCBJ+r/QYP2/KdT18SgEu3Qosx0Q/C+rKTNnGY3uNiVhpH8BDs LP7zQgKmr+S4ayrueFgJ3xgrnUSAgitJzSCIh9Ff41f+fCSA+r6mzdqqOMhT S8w1yCQA/lT2pxc+3XDpsMCTCyUEODWnF/47rxXKLjOuSZdheqj4+iXsRwvI 2czs55QT4IZzo8VwUzMIf6zvK/+J9d/MqW4Y/QUjoj6nFRsIcEvmu4fqunrw 4FpaJ40nQDHr34YinTLI7e+MZBMJMLPxTr7neAIaDzeJ/o9CgLE8C1+W/yck ceHfez4aNm/bLn7Pe/kZheVxkrcxCKA5zDV1Kigf2QUczT/KTQSh9E53C+w9 T1EpL1BaT4Q/oVpg4lyGBuYvFp/aSASZDsvcU3oVSNPI9MclfiKITugnjq2r QoeOvGo2EyZCzp/uiJk3tch8TKzdWpQIg59q0uYf1qHYmNQuOzEi5BWv98m7 WI82clX0u0kQAf/WP3PbQgOaws9MRewlgkS+WICVUDPaGeY6G7WfCPbx0gZH u5qRIXAtxh8kwkD35JXd4S2oPns75bMsEfanKhIUVlpRmu9l7qrjRAgLFDhg +rEDDSr1bKhXJsLjDuHg5HOdSHjWjK9FhQgXYg/ue/O7EwUauAn1ncbuFyhO 2R/QhSp414n+OUsEbs/GBPavLkT6Gb59/BwR1NRYMrEC3chSJn330gUiXNI+ FUp83Y3ihhX2Ui4S4SJq6M5pw35P3/04wLhMhNODDz4J8fYgdXaP3MZrRLAN 1pzvdu9BHkXmxwS0Mfvt3iMH83pQwf05JWFdIlTdX/UWH+lBUj3rzuw2IIKD bJF422kcMnoRcW7/TSI8UmX6hd7Doddnd1yQvUWEjVFeyr8jcNi+kn7p2G0i 7FY/HFj5DYc4Gce0VEyIwNxJ4VLsxyEV08rrZ82I0HdsLPrECg45bdXUu2CB 3ccj7tQshkcZjTgDTUsifN5K5104jkfDXha3dKwx/jcJyH+4jkeiivN3DO8R 4eE9EdIfazy6Pv3U/M59IgSWz37P9cCjoERuq7t2GD7qTw/yv8KjSr3X92wf EoF8M+LsagIeUTZI2Dk4EoF/U+tZzyw8kvvx2eGxMxHONd4rff0Nj2xcFF08 HhFhG3vlhWolHiUe+PnE9wkRSng1e5/V4tHFyb8yVm5EOFYZm3ywEdsXUzeO XHInwlzmluNVv/AozvJI1OFnRPAxvcqlgdkXpPU0N3th8ZvFikrr8WhhxJVN 8CaC5m0lGalqPIr9EF+E9yXCdgavl3c5HqmbVt0v8ycCmBkwegrwaE5iYmdS IBG6FDvlDmbgUfRvnh6/ICI8IIx0PovHo3Nxci+sQ4hgbXukvzsMj2aMbpy9 EorxeR0cjnvi0dttT4myYUR4Tdy19PE+Hp3GJ2QIhhOhdn0vYbcBHk2+Qyak CCIUB/OpFZ/FI1Uhvsbyt0SIf/px4AQ/Ho13HPX6EIXpkUr4IbeEQ+ER+scC YjA7PW6LbhcOjfInJWjGE+F4oPqdo29wKLS5WlcuEZs3YqIb9SEOHQ+dWi/0 gQhHJQY0113BoZANCs79KUSQM+l34dB70LF6g/0/Uomg5ZZ2n93egwYDPX4n pxPhPyuR2yapPegoV62GbRYR3nd12dy43IPwDENx6lciKH+UV2N5dSPf8mft A4VE6PU8P/XrUjeS8UjGdEeEfd9yDRQFu5EX9d/C81IiEM89I6wldKG9BM8a YUSERudr+fzXOpHLVIr9sQ4iZBSGKwwItCKJ9AYp0S5MD4WDCm3e2DxbzeHp 3dh7MKG7SX6+GW0fUwLUS4SCj8Pjb+qaUNVgo4jOMNbPm+zRA/ca0eauhcqH C0QQkIpY++dbg5Z35tEuLRHhZIdrlchENeq2e3hMmkAE8ybV/q1XqlHMf3Np eDIRUvKuHirbVYV2nfwXpsYkwvW8E4Pb1cvR0eS/xlv4SSDuJKPI5fIVbZlP eTe7iQTSmts8T+/OR8STd9vqNpPARegRn1J3DvrePQIeW0ngsbgwVno5A6lt +HPwrzgJqr9/wveTEpC2Qx+l6BAJ/FmnTeOb3EChPEY+4jDm1+dtemUWCFs3 3nxw/wgJUszx57Z9fQm9H3FDkgqYjZefEJuPgtKFd9tox0gwdlzqvzzD9xB/ Sl+36zgJ1H0vfliXlQBmuK7aIBXM5izydQSlAEhHssxVScBVs1nBfFMq7HHU VTl1mgRCBLxATnAaTG3syF5UI8HA/MT4HcMM+GUQMfELsH6zhW+fyMqE7JTr u1LPk0DvU09kyVIWOJ5ujTS6hPXnfGo6TT8XdF+EtRy7QoKVBmeJ1855oIjX Wr9JC7P9KrUkffNBZA/fuamrJChYErfc7PsFqI5N7ug6hlfhPb9Dzl+hv+JF YbwOCXZmpLFjZQqgnOfK/BM9EnTZuSqT3xZAouHGAzr6JLi7q6fzFbkAfD41 mMsYkiBv+NfoRe1CsFgKiuM2wvAhuUv+97EQzp+52PPnFtbvfONE7kwh7Av9 T6D0Ngk0o1YuHZAtgg29tZfempCg/tU5zk3rIvi3J9DvoRkJXC+reh6ILoJm p/PllywwPpRshrwqiyD3BxdZypIExTMBq+f/FEEEb7Ucw4oEcbxTNpbkIlBe 3PmWZYPhqbuLHM39DQa7n1E5tiQoY08H2PJ8g4CSvtvr7EhAeMy2rFz3DWQS lar+e0iCyUYpgg+xCDr8IvdudMTwkhSOi+orAjebxRBeZxKcVQzqny4owvba q/P8jzD/7B91K/8iqD2aqbv5CQkEAuZ8iBeL4IHw+uItbiR4sNtdP4BTCFvo d8WF3UmwP6ImeS2vEEqGfnqLPiPB+vbfliZ6hWBaLfFXzAvj+8LfH0EzBcD9 2f3SDh8S/LkiT3BwK4Dsl/hsyf9/B9T4uUNg6SvQ9F8/ln6O1S89uelUQT4k nZzv2xtMglAB9I4H41tjp+aZAy8wfSjFbJsQy4XIqXXrZV9h8xGiZBS8JwtU WswfyEVgfmb3fuWgDBj+8qNN/g1mh5dvq+5MB1kPtxilKAzvS0V1t/d8gi7T ntX/f0d299FhuwadZHA/r2Cu+h7T+7NTNr5yCVDPP3tQLRHDW3ZLII/ZWzD/ YFp2OQ2bp+IygqOpNVofWL5T6zN23wkuvvTzfijXVizgWiZm5x2+U9oQhlYU urT0cjF9fAvKaNkSj97Vagzd/obpWfDSofbz2Ug1MwVMv2P8/fw59zozD42+ YqeZl2L4G0BH5NYCJHez1MH6B6Y/x5uFL/K/oV//ZDkOdSSIbo+udbH5gZza Xlg5N5AgSc/4CK/DTyRaONn46BcJArVvZyIfhKw8k988bSWBWunou7DRGsQS EN7j///v0DZlhU3eaUTHjq9qRE1g+IqPlOBFu5Cm9PLtJ1OYHnJ9b9C+diFL wSlng38kEKYoRDRd70bv5roSReZJkGpUJnkb2+cpqVnkKBIJexe2ZohL9qJy EeO06HVk0O6+3cn2GkQXqCXcsVJkeDjlPNeyOo7uTOSJP91DhmD2QM2fWxPo SXeqvNE+MvA+8zUTLJlA6fmv74gdIsMRgSuhJY8nEY+tbVGsPBmme4b67i5M oba+bVbv1cgQZJ4aAEMz6GaZa02cCRmuneDPpLkvoePneLk/mZGxfcF8y278 EhKqT7yQbYHlG/H46KywjFo6a+vKrcnQZH0E5zKxjM79E2ocfEiGnF1JEhtT CEjSMX3jhCMZGn1nY/RbCGiFdPLKvDMZAm1PvhelENA3jnkT8wkZjmv0is5d IiIZsfyWnd5keO04WvZknIg2JKlvOuBLhuSYvj/reUlofA/+2lF/MoyeGfRe kiOhpKPMNrUgMmTcfh3105WEtl7S6jQPJ4Pmw3O/lpgktNTyZ8v912TwiKzf /U+SjNr0XPScI8ngNNK5d/cZMgoxfd/tF02Gv5tsrM66kxHjyRQuJYkMIb8V P81NkVH/qododjIZVkoXcKFrZFTsJ3CzMAXDw1C7RlecgpxeKfXVpJNh/N4N cZ0rFHRt6y+xlgwy2Bw52utvRkEy7+/c6skiQ13xe3LPYwqaSA0YGM8jw2JC R2NbAgVVy2zbMf+FDC9iGq1d8iko+UvWbXIBGR6XCyodQRTkpXw2gVlEBtFb q8bMTgoyrugc/O87GfTUfDaPjlLQCXVrSYFSrF5tmyT8EgUJN9JMRMvJsP6w x71BFgW1de8a3v+TDHz7r4YJiVFR9q3CXUcR5r+/ddO5PVQUMnzR/EQNGQ4H Wgs9PUJF1tYDyWp1ZPh+3vpuqTIVqc8+HL3UQIZ/NmJ9XGpUtMt5TUrnFxks QoMsb1ykIgbl3V2jZuy+TXierKtUNOB58JN5K8bfnM3Ef3pU9J2r4q9tOxla omf32RhS0bsQ7b3OnWTQyfURbLpFRS4Cf63cu8mwrrSCLX+HirTfuab54cjw rLnFMs6EimTFeSdf9JJBn/9Z9X+mVMSTnLg/sp8M8fLq310w/+Q+hXtxv8lA GTAijtymoprs2s8pQ2TY+bf8jA52f7KC0XTWMBnSA5QfVRlQUbFGUG7mKBZ/ zmrrFV0qar5V5JLxF+tv/lDHby0qGnk4duLzBBluumfUPdWgIoqfIDNtCuN7 x/W9u89SEV/02erUfxje53vku5SoaHeWffCnWTJ8+nzqQoQsFSlXxl1NmScD 4X59801pKtLqatzycZEMneZLl2W3UZH5JAX/YRnTq4e17iY+KnJd2ZuQRCTD fqCErzIp6KXADYtEMhlue4b+pC5iepD2259AJcMwZcs3LozvYuX82Tg6GX5Y PTKQxPTQrDn05f0qFu/gHne5ioIoLidPxbDJ2P+Ct3dw8RTEF3yPE7WG6UVh 9ujJEAraHR9V924dBUYMzuoXPKIgrZpl7cgNFPDX/Sw0c4mCzHt3ibzhocCE zvmkbHkKcp29NhDBR4EU4zSTEDGsnq1ZVq82UyD89OfDcRPYPBzoOxS2hQJB UqvVXU1k1Hxq/WLoVgo8wR/5cCSfjCiWd91DtlFgt2jvmu4TMtIqEg8P2EUB sb4hk9dUEjJvvHzDX4oCvh+MQkTwJOQ66Crmt4cC1gGuz9oKSSiZuzvF+wAF BPM6aibsSYii//K7+1EK2NuNpRFxRJRMXh1xVKPAa3619k1BBFTMI5PuABTI OnZhQeIWATVLGtk9PE+BZxvNpsIPExBFo4j84BIFdNTFpHXil5FWtD2vjTaG x+5moaPiS4iiPKR4x4wCptalxgrTc8hbPzVLxYICairbVxWfz6H/XOykRCwp ELpUfjBMag4J59IF2mwooPmA69xNo1mksEd0Rs2BAm+E5YW2/PyH7DdrJ+/x osCwJO8nouskGpuq4p+Nw/pZ9Pow4z2EHvwXEtCQQAHPEdz9FxmDaFlae+VT EgVoAuZewV2/EcdkaOpOClbfC4cPvQcGkGQPvbotE7M/Rnmp9eORUdUx94IS DN++m5JmNW2oLTZ1wh2P1ZNx9eMm2TQkfp0n2LuPAnp/1y+3aCYgm3UOBwMG KCDdu3dmT204Yj08YRf2hwLV1zb58KwLBLnzTUtJkxQgiNqvd2PmgAdNLvLT NHbe6fC+rcoFUJ/7VjFjBuP7pI4071gRmIqZuH5doABrsrdZTrwMXs0vrtZQ KNCiKEV6xF0DfSn6iY00ChR4nP04qVgLe41Kz7auUGCwfO7wK5M6qKj298Oz sPqZo9eOfWiAuRiRDf/WU0E24ljQ3oFmULnmkTG/kQorGy7+c+9vgUCu4SsE Xirw8y3efNnVChIPM8JWBagwHbyz++vXdriqfkpIYBsVSvIP8TtGdkEs9UOh 0HYqjHw1OeFI64LxHG6DbTuoYM7Ds7j3djd4bmuL2b2LCupIrjRFtAcaW46d 3CdFBT9bqpOVYw8I+8cMHNpDBcXThzlttT2QM2cuqXiACsIRJxyirHFA+1hX eeIQFaRJH7zmv+Dgwk0Z89OHqWD/MatukoaDQURM0ThKhccyDmMl3ng46GZ0 QVOBCjv8Hz5+XYGHx7I/Jq4rUuGb7aPS9VQ88MUEHTQ6QYWQswcNOyx6wfDq 7K87J7H8KVfIeyN7IWVN287iFBVUDi3gxH/2wkJxEb/NGSpkgbd14XQvqNpv z3ugRgWKbpTFkkAfNpfe2o5ABf91Bb3dCn3QhR9benSeCifQn73mun2wM+xS JPbOQeMjPXLMwz54ADmKXpeo0PSc54J3UB8UUwRxfleoMKZ601g0oQ+4cp64 BmlRocrasd0yrw+uWwxse3mNChkvpoMf/OiDOFG10ghtKnQ8Vv4m96sPJps/ Gb/TpUKehSSuqLMPjvltZMTeoIJEnuTXNXwfeCs/TEw0oEL3iT4T8f4+aJrt PJtyE+vHwU6Vu68PQrLa3wTewvC6NrN9f08fXLzfOm5zmwqeq0uhL1v7gPtg 84krJlSIFNv7/mRtH1RPNoYeNqPCBd/cIKWSPvBNqx/aZEEFvPOX5sDMPjhr VSu/dBer/1CpyJHYPmBIVwd0WVGhknHg0vHAPigb/YkvsqFC0VqMazKGx9Pk H4dibKngexMW3PT7QNms3NP9AWaL3DyMVPqAJFnaftueCtkk8yF/8T4oGCyW PutAhfGq1xM19F5wii96stsJw//jVsOX+F6QMy5o5HKhwuXLZs4jX3ohqzfX oeEJFb5oaXzQNe0F2+hslOmG4XGxSMpLoRf2G2QKh7lToYCy9YgBF8Z/V2qZ jhemh8O9uYcT8WD+JmWTog8VJn+6UFXv4WGnTrK5iB8VWk52OIkdxUNca/z6 gUAq9G4KuWdRggOjsPe3KoKwftvfrBt2x4GoVkxOUgh2nouLT/skDiIbI/Us w6jAmBA7J1vQAy9qXiTNvaUCd7nF3bmwbrjoH7zcFoXp2Uvk/ia1buCG5xe+ xlBhpqhX3mmxC3wrfWeexGP96pFE92l1wdNSN2V2ChVShBF1cbAdbPOt27YU UCFpTSB8bfoX7HewlCIVYvN9Lv97za5fMC5r8Rj/jQo7yw2PO+k3gnnWHfH4 Uqze3cMbpr7Xg1HaDZu9CKvnUqT+v/s1cDkeWModVLh42ffED4nvcHa6H7e5 iwoymWpfh2y+wXEll9zpbipUV7H7RvMLQao95U5cLxXuOh4YjfLMgxUu7nLm Hyp05TEGfO98gOwH9W6181i9Upd8FGLiUcp3U+3ERSp4tIL+a4UUFMtN3e+6 jM0DxBJl3qahwKQD+ANkKgycUh6jaOagO10hx18yqBAuZIsbrP6GBFS1lnX5 aJAwt2HmqHI14g7+2yiziQY2uRrFt2nVaKX7WfK6zTQ4eC1hzqmkBk09zNH+ JkQD85isoM3H6lDVx015YuI0sB3aM6nI04iKF9KeL++gQRb7WdnPkkaUc+qs SZMkDVS3NS5lW/9CsTgHfk8pGkRf/fzU5nsTcubpeDB8kAbSl8i8FSqtyNbQ Vr1EhgbqVrzE5M5WZPqJs/2NLA0qy31Mne61Ic0zCr/U5WkwDbMCcS/akbRz 5IH0EzTIy012Lk/vRGKVMmzvkzTw3bndpHlrFxLgq8HfPEWDyNnpPV66XWg1 lficR40GgpbaXvENXainT3/c/iINTjgcfnMmqRtF/AidfHiZBmLhW7kturuR ZkrVtIMmDRRpWwR11vegn3ay807XsfosBZO8rXuQh87dRWcdGoRsV0/79qYH HVeKXXbRo4FV43edz+U9KIu1jvLYkAYzZek5ORtxyPrvSdoTIxp4iMdLlB3G od2NjiuuxjQgK9z68uQqDg3kpDHc7tCgokmRMfgAh6Le/GY9NaXBlrDdQ/NB OKTjumXN3ZwGx79MPE1PxiHe25fWPbtLg7tnzp39rwSH6tS8/vO0ooFeJdfE xlYc8t1buMHLhgYfXGUdvgzj0CmefzzetjRoF6LvWV3EIcr8Tn6fBzS41Dn9 fpqJQ1+69AV87WlA34NynvLgkd33UEE/BxpYNz/3zxbCo/0JVUL+Thjfdg9C /bbj0YgvRTjAhQZu8RWeq5J4FG8tuy3wMQ3OP6k3Ft+NR4aad7c/d6XBs9RM h+FdeLTlaOyOoKc08F49pnUVi2/Z2iYZ7IHxH5nefFcMj4Jo63aHeNIg7lHg 1n1b8AiGTkq/8KZB4KhGeNQGPGIgx72hvjRwV9y6WLyKQ8Xpaftf+tNAydhF Pmweh5xf/j4YFkiDKYGFt2JDOCTrtOXwqyAadH7/9tGsCYem9C8dCQ+hAZ5P +aD1NxxKOel1NCIU688n69SRJBy6s7NQ4XUYDcyCPitVBOLQtnX/FN+E00Ci OLFI9D4OdU3tVI58TYMHOIN40MKhsBZ9lbeRNEiatBZUx/jkiq46HRVNg8nY JxH94z3ohwflbHQsDZ5GmR33rOxBT81kISaOBlpb5RP4onvQ/MFYjfdJNBie DS7mVetBGZvaLsUl0yC1QpMnRLAH3SWs04xPwe77sGiyaaQb9ZU7Xk9Mp0HV ljT6Nfdu9DY5TScpgwbvnka0iZ3vRtef/9b7kEUD7ccWP3n5ulHN9Us3P+bR oL/FLfZ5VBfKG91pnlaM4Wu4jxV/qBPZ1uvfTS+hwU5DeXzExw60JzvU6nMZ Dc5aPi62FO1AsY8ptpmVNLiQuKjFoLShgA1tzrn1NBh3rhU7Fd2CvpAT9oU1 0uAcNy3sIFcLGvxr1/+gCdNnSBPvsl0zUq7igYNtNDDM9GgxOdmEZp5qCH7C 0WDgMHND5Y8GpDNTkRc7ToOCLMbD9d7VSKI1ezaAiw4zvZeWeis+oyvlHh/u ctOBsjRzo5SWilwzr9yA9XRISc/flaicgtqfT5WxeOiwQj6u9tk5Bvmf3RPq voUOXAX6si8OyMJ0ftxBx9100MsR8XDvTgeRpPuD16TpICSu6ON+LRPUw1Re y+6lwwBnxnLmZzbE2+Kp/w7QgfA63KAx7AtclxJqsDpKB7l+vHDi8Dd4tnnU 47wCHcaMI4Kr6MWQwcyXk1bE6sspp7UKlMBa/7XoYWU6iO9aUF9/qAyKIl9Y G5+lQ7WmWOCH7ZWQJkY5b3EOq0fz1H1z8Z8QnXRX2ladDl1n59q+b60C96xT w08uYvc/SLN3WkTwQD7jh+dlOsh3HbtWcb8a7hQLJwRo0mFvgHJCPr4azlbP G725Tgf+MPV1gqk1IH/Z+ESsDh28+9dn6nHXglRbvcgHPTpoWkKGvHktCOkr ktL06ZBkEdsZ9b0WuAc+dOUY0mGBrGrlwFsHZDP+r4VGdKAVHhT8bFQHkxNP I8qM6XCR9JAmm1IHv5Z1rzaa0mF94wvD3v31UOZWKdNuTgdXGWXrPot6yGHK 8ODvYvwc5p8cjqmHxICYqUErOkRfu3x7qLEewnm46//a0KEtJq2+ilQPvhFO qTO2dIiU1cj22NEAziJD/ssP6DA+H7KZcboB7sZfsaDZ0+HO2oi38q0G0Jcq VmM70OHc2ks+CacG0PgsvXO9M4ZvzhWdD34NoHwkgsH/iA6yM2znwlcNcLBw dWDrEzpUzutKXX3XANtP2paKu2H5bh9KMIlqAN6fPTFS7nQIU1XIH3zdAIwL 4HrwGR2cXqt/rwxqgPmmXP2jXnRI9q1Oobs2wB8dcUVlHzoc/rVMCLBogA58 0JYzfnSIf3rkh/7FBkB3iIvnA+iQ+2N3juW+BigYM2vTfI7hlzPFyWDVQ6pt S45uMB1OD0q/k+yqh6gFlZdGL+hgVr2KL/tQD0GP0+6bvaTDroztPR736uHp ypbLNq/oMLI/WN7oUD3c9/Xe/zCCDhKCIbLXJ+rAeP0s9+M3dJhNN0s1iq+D q2E3/3q8pUPd9g1bHmvVwRmhWuQXRYcj+3pCEsm1IBcrnxwSQ4cfrZurut7X wu6did4R7+lgvMuLR0ilFrak8phEx9Ph30S7oXFHDZDyx7anfqDDjRucEe7F aphQ0qZlfaQD48iFXbZPqgFfXo7/+okOQVEPGrL+IShtePf252c6xJrrdH1v +AlZ19ac6zPpUDJ55xYptRISuh/qtGZjevXvYJi6/gDv4Yubfudj+j67wWGc XAZO1oWzo1/pUPXZ5KJIailYzO5qmi7E8O9U0E6+WAIXqLQgynfsvPOXMpbt N+DZnM3ZUoW9FwwFc7tLOXBsT4Hl5mo6CNSax5AYGXDnRGk9fy2Gf7VQ477E NPhi1hC2oRGLJ57WsVeNB8Mvf8WY7XTwD/q70731MUrRlVCYHqYDPsr0mf1K IWqx3vNuYpQORf3X7R3PFCOyuwx17C8dBuWqaIovStDlFJUfQ1MYP9Xc2Zaq P9ACQf9K9yIdhrniS+18a5Hqu1cWlWw6+BDebLcntyGrjHe15Wt06Ocnn6nX 60CvKuIPlK5bgVsBYYVbCjvRyHjmfOGGFfBm5FjzqnWjIKV698zNK0Bg6m+3 2oZHXXjWm3e7VqDo4q+DO+i/kd12p+oHaivgMtaimsQ/gdafEOzVgBXwLDHQ HLOZQCn6X2Z3n18B+S/pn2hVE2ggYkm49+IKULefpPo9nkSX1zvfO399Bb76 KoVr902hvURnfgmTFSjUGPDd/WoGVQkKSVFNV+Bqvucj99EZdFuuQKnLfAUy Gk62n1aaRZH3CaYhViswtars/W9gFnGGXb6S7FagfPZC/eGd82io5ZFhqwdm jxnLsrwX0dOZrXYZnivgeoRzXqJhEQlvLPIJ8F4Bjb1WARcEltDV86SMk/4r UGnkfSLx/RIqK328mvZiBS4ekFTr/bSMDHuFBf1eroABS42c+3cZLZOK9t55 tQKJW6u5FYUI6KA8+ZrQmxU4wHteXE6bgKLTnyR7x2J4eTpeIyECOlYr8u1W 3Ap8PjzVJTZEQK2j334dT1iBas8XnPdUAuKWpBBmPmD4M+USMmWIKFk1ekP9 R6x+x2dNiueJ6JSRssTHTyvY/79hKaHbROTy1lXj5ucVkM1lX60JISKBr6LG xzKxel7rq0UmEVFmW7HDpuwV+LtwITa3kIhGeKgxNXkrwL1pTL36NxF5HsD2 my8rELopVbRkgYjENE4g9wLMZrsaEDlEpO3rNnO0GKt3+We64h4S+qL07ZBi yQrMbZzUDD5OQoKzBFvlshWYVRcRol0gIadk+YyTFRh/1HSFQH0S6jBwmDpd uQJWV/8uH7IkIXm+nP3nqrB+jx7Jm3IioddV/6zPV69AdKgsrtyLhHQOW49f qV+Bt9HHfT6+w/KNpOy51rgC2+Uvw5ckLF/0yF2dJkxPCQ5z7Z+xfFo7U260 rICpy6guOx/Lx7k9ati2AlX1ZMMz37F8xe93G3esgPGtk+SQH1g+u14zk64V bA99pTpaTUJLu0U+mPeswEZd9SsaDSSki9f7Y4lfgWfOMkZFTSRU8PK15L2+ FZiRLyo40kpCQtB258EANi8XVku+tJGQC4Uv4eHgCrSWDAyfbiehruwrv53+ YPhEMr50Yv5jFsHij0dWoNN1qskBOx8pWnfLbWwFXhryjm5txhTRzPXeY3wF Tu+vL6/C8uv5nevzmlyBb++eqDypwfIre2/zm16BtgaXKwqVWP65csPAmRXo 3bGDQsL6c/lIjwqew+ZnosO46guW3/AELnRhBfRPrGa8zcDy8z8RDl/C9JO+ 7oDjByw/KrjxhrAChtv05G9EYfldlyLfkTB+gi4qnQsloRuycl0xFCz/gHy5 sjcJFY3abYmnYfNWcvHOCWcSEo7J1ElaWQHl2zEN6hifPWt721NZ2PuwabOU F8b/8e93BTI4K5D+nA+Xq0hC7+yTr2VzrYLns4Y/c1IkpN+7o+Xr+lVY4lay iFsloqKwW3zfNq7Cu5as83xTRCSsHqNZwrsKzN/HtCM6iagnR+hXpcAqbNbI jMR/IiIDf576ZtFVmFN1or86Q0TFJy791y62CkXFnNoaKSISnQ+80CW+CmHL a+Li/xER/ianum/nKgTJvA6U/0VAhkeoPyf2r4LpjytycImAiseOs6cPrsJt Sd6M73sJSDTW5eyczCoIcO8I+slZRniuhQqC3Co8FSN5Zjgso5t946Vs5VWo OJc0t1dlCcnElGeNqKyCm+Yr2uW5RcQwiIxHqquQG6CCO/JhESV3q3kFnF2F fyQ54etrC2i6Le7chourUOLWtMXj+zzyqNNpEDBYhU7toq06SzMooaCiR/LR KpQquloerhxHDs5v61iPV4GgW7vyxmAcnZN/UDzsugoPXtqGec79ReO522I/ eqyCcBP2L0jsLzqS6XJ7n/8qnG/P5srsG0GVHw6Oyb5ZhUpNek7QlgE0GvZu 8VT+KjCmdmhYrW9AT/9u5NP4ugqrEwrLIifrsH3ca//1Qgzv2uw3Hx/WoNNT 1ibm3zH8Quz747//QNFwojnw5yrw0qm6Xw1z0VVKf3pr+yqk2PNKWGXkwN+r 16vxnavgqmlOaYwqAI9P1UPD3asgm5GhkNv2DT7rZAsTelfBpTbuP4+DFcCV 7ekvOrIKtsZ8xtyn66DEbJep2dIqFFbv0fJO7wDt4rfutoRVOLgz0uMzoxMm +TdGOZMwmxp55OvnLthattQcQMPiO2peb1vqBgfh6pMZnFUYUmrdFWiKB247 ZYOvXAzQe2V2/icBD/Eoy6mMmwFXfV+kkQN6odHh7eeWjQw4Xhv6UDGxD/b8 shJZFmTA6VNk8V1ZA1C2q19+RYgBp/ZVHjbd9xt0XK9dXSfCgD2Gu/nNEn+D 9x7lAJHtDKilNbtHBAyCsEdW0s4d2P3TOx8VLQ9CdsfOsgOSDLDyGRMOujME fV4blk9KMeD9g4zvkgf/gGPPM/7zexhg8JdV/jvkD6w/vHTg6j4GaKgsOSpP /gHFvj5T00MM0MGpBH+LHoYmuWse9w4zgNR59VXPv2Ewf46inI4woLS3MOT5 yREIP5bV4q/AANdIBY3othEw2VZq76/IgHUJMiIlQqMgy2jg91digH7xc42g G6OwOoLP8TvBANmBRF3O61Foqpu46ncS68d//7r9zaPwPos053uKAVIbN7tQ 10bBNmLdK98zDDA9JR9QvmMM1t+SavUBBjCS7/Sf1hwD3Bn5hz7nsXj3lnCO 6RikSqtt8tFgAHdzcLqEyxg82nA91/sSAwbMTolEBoyB+tyda95XGHBEeIJs 8XYMtnTazXtpMUC5+fOLVx/HYOSbxyuvawxYK48/IZo3BnlxL454aTOgQTI+ jFkyBl4+sa2eugwwPMl3SqN6DK5afX7oeYMBtuMfxRd/jYH4leJNngYMaHp4 4CCzfQz+HanLfXYTi+ccf+7cMwYlQj3Xnt1iQEnAotv13jEIpo7Ne9xmgCjX zwfRfWNgOLj8ysOEAXxxXHNamL0PcY54mDEAcaNcZ/wYkNI2t7lbMMC4xOA5 b/cY1ITudHC3ZMCufHG77W1jEOl4RMDdmgEygwIeHxvGwEL/dN7TewzIMHRf TPs5BvInta4/vc8ALY0XMjLFY8CWNF5ws2OAz1tCtkL2GLRx3Q93e8iAmx7B IlVJY5A45Sbn5siA9dNth/pfj4F9S1CbqzMDqtpjmn39xuDU1ygH10cMGHn4 glnmNAa80akCrk8YsPPll9GXGB/9HoV5T9wYwPrFU0rF+Mowq77+xJ0Bh/h4 /nIpj4Hbhc6Fx88Y4EaSHPq6awwuHhoJf+yF6SVdSZ1n4xj8JTDbHvkxQNVN 9E3Q51Eo6OV3fBSA5XNbM7VwGgXfih2bHz1ngK937tYi5VHYGXRS2+UFAyoe VcXNlI+A8fYn7U5vGLA7TkTjV+YwHGIFODq9ZUA6Lnk+3GwYaGORm52iGHB/ zO3e3q3DEJ3zRdvxPQMuHbp0buHRH+hSm2t/+JEBC1pfa/Ukh+CKjWXHg68M +O1xKjxQfABC9fmkLxcy4LrS0M7dZf3QpF74aN83jK+BPFqQUT9c3bVu20gJ A9jOC7l/3/SBTl+KiUEVNl9qTF8xGh6MNMdm1NoZMNGgpBCZ0A22chb/icwz IE6hSol8pAEyJXhuEhYwPReJD3Gu1sMM79eM9iUGXBl1dn9pXwf2UxytUBLG v3Ak3i23BpySkyPZqwwQ4Fl6q+JUCW5CI7tmeJmwoFT8+8reL1DCCXZu4GdC nGCNi+q/HKAtHK1JFWDCg1OWHV7fMsGj2cfGTIgJqg0tvUrWn8A7cFduz3Ym qLfu1mEnB0EQxVT150EmmBa/Ekj2+oTCPFOLa2WYMHNmQ8/tW+noDdfMsSZZ Jhy780fx2oFMlCDw5DBOngkpDyE2JTYPFex/KTGrwoSxFPOqZOtvqCSnI3ZJ lQnFuADnu7HF6McxURHKaSbcWdlCOlTzHTWe/bhp7RwTXGbpXDc4peiP4XeW 6BUm7Lf9a8UtWonGBxkeElpMyJo+Gj3+30/07646VeoaE0TT2R7UuZ+I5NC6 KKvLBK7576/NkxFaIQnZH7uB9ZOfHnX5RDViexhNnzBgwgXOubTO2GrEG/x3 RP0WEx63W3zfdr0GCW46ZHL5NhPIQq7edR9rkMhbh/5rJkwQ5Ji9rV+qQeLb iwxumDHB1+BFs/CpWrT7A73TyIIJ0XuG32Rh+9D+fWrXTS2ZEPqfzpQ/qkWH swObLK2ZUJGhavmeWYvkFZou3r/HhMHIFsWZ43VI+fvmGof7TAjco7vT5V4d On3GQO2xHROCap185KLqENTElbs/ZAJdw1xLsrIOXbwycsLHkQnClpxNZ8bq 0NX2fUWBzkwYsp2fCVurQ3oGdvKhj7Dza96J/BL16ObvLzkRT5jA2FPytEKh Ht2xoByMcmNC3cED9xLV69HdqVNpce5M2MNTPPPlej2yfegnlfwMw6/1gQTd oB49JNYnpnkxIeGoWM5To3rk4s4vnu3DBHN/1vAxw3r0lK0b/cWPCUV9d94d 1q5H3s9jhIoDmJAdQlC9d74eBfANhZc/ZwKb33lg5lg9CnkjzYeCMT6N/myq kKxH4dtsg+tfMCE9Y2rd6Lp69C4xd13LSyY4LO31Np+oQ+/3EH06XzGheuxq B1TXoaRMFQY+ggmfKm8Nh8XVodSj3k8H3zDBcDZpt6ZDHcr6VkMafcuEvT7t sf5n6lD+KR7nqSgmKLeQB9Q21qGyS+/uE95j+gSbJufXtaiqtX+CGs8E4xCT 24xrtajuxq67zEQmaNXKPjuxoRZ1mGUZb0xhwprv0a3L9jUIP7GI35TKxPbt U19fbK9Bg3ZKN7amY/pwntq/oboaTblVae3MYoLBmerQmfXVyHTDB/e1bCYI 6Ye2XtFDCB/t9Xk8lwlWGg0n2W+qUP031XXZX5nQ5FBHeM2sRKnEorITpUxo EXXztgwpRxIBb6fFy7F51ojb/ye+DL0VchFlVTBhfaO/iU9mKfJXOOpSW4Xh U+12rLjwOzJ3zDyk24jpUb8gKjG4EPWxgm8eb8Lw5Is8suRYgLTDbZ5va2FC mWm+LjH1Czqbu2d0qJ0J/ok++LfbcpDEbGLsg15sPtRsuBnRKajPJnJD4CQT 9Pou9WYTfECH4qR0b5oJK1M9Xy1fvISG59qWmjOY34B17rLoOyhO5f8puID1 c+7J8kR7ErwbC3JNJGP+C2MtLVeyQdf02UQxNwvGj4rdbc8thSYDq5p/0ixg uO8dkHnVCB6Php7U7GXB5vbUGN3Dv0DmjeHBxP0sUGpYMOtu+AUvWi6/0pFh QeQr1+3vVpvg8vkjN78rsGD9j4ZTdVqtQDNP53mjyIK4RI1M74FWyPDeVfFA iQXlOqZRCzZtsKFsi9TOk9h9+y57pTxth3p5ykzgORYkSBbmq3h1gut1x0RT dRbwKpWIBVA7Yb/9tLbKBRbYvd220VWlC55/HiiavcSCWhMrLcvsLjhed+Ne 3RUW3CqN2fFyrAvGx1q2f9BiAa2TrC4p1g0Xdv701tNmwe9hY5aJdzeQTqko yOqyQP+wduxqXjek3vr6978bLNCsGI8eHeqGdVGfLpcasuBQqOUVG+UeKCiQ WI00YoHQfdhBNuuBux1RufbGLPgQJReRE9wD1XwhQrtNWWAY6Kjs1tkDLofW aulmLFDo2ljyjNgD0pc83LotWLBfLMP95VYcdFkRD+VaYvdHagR/UMCBn7/9 YJA1C1JsH4h+vYYD+eSJcPN7LHiVMRBUeg8HIz9MQfU+C4q/n7Is8MHB69+9 xK12LMhX+W4RFYWDc3Sd9Hl7jM/rcVZ3MnGwJNpk1ODAgg6lZY+1MhwkHz/P 99EJq0dy16h3Ew509Cp+eLiw4P0Zl7W2XhywHZWc9B+zYINY0eO5MRzkvcqT lnNlgXXPN66uWRyYZh/AbXjKAvLXvhQPAg4EfiUHj7qz4I13pOcoBQeVk9tV y5+x4NfGhak1Gg4cuN/OvfNigbvfBodezN4pzf/BwYcFMtWBv0yw+Da157qX /ViQ85Bn6vUyDrxMWOukA1jgMZI+YT+DA9lnbsWrgSw4NXVp28IIDgZjl2xx QSwYUhBbE8ThIKz4/o78EBZs9Zi63VWPg9M9Y60hoSw4qx8ifLQYB3PLt33v hrGgIEXm6t5POEjYjDt2OpwFvSlfjfJf4eDqkesTIq9ZMBX2X13rExysajbE LL5hgU2lua7XbRxk2Z7T/PWWBYL3Y4nlZ3FgHFTKSIliwctK897gXTgoQ9kW hu9ZcNr9shTq7wE5t+qzRvEsGJRXvv0rvwdSZPt3GCdi+goN7f/n3wMvY9bj TT6y4IvbkKzT7h7gXJUsNPvEgr8iSf/hZrrhMdfx1xZpLOjbkC2jU9ANdx5a aFpnsuBxxLPcUJVu6JB+euBeNgseyOU80aJ2gUZfOPf9XBZofDtgtq+wC+TO V1Taf2WB393d5TLSXcAW26b4uJQFeZrT8/al7fC47YigazmG9/g+cdLGdpgO uDDv9oMFTZ6fq3B6bdCx4Pz5GWLB21vXaQ24FkipbdkR8AvTcxtvrPX7XyDq 8ZcW2IzpVS96prSiEUKPruCCWllw0ekPs3igAR7FHXgd2skCXzvq26H19XDB yZ87sp8Fw5mdj25LVUPJvvejb3+zIDXE0nr4eBXI/s6vjBpiAU6FeBV2VYLI xaGn70dZEPAvTkqxtxQmd6jMJ/9jgXJG8Caf3Hx40TCPy6ezYODQGSUvwSjE 8uQu/LqK9RfrONJ7/wNyObbjdSGTBY2D5pu5l9OQceJlze9rLKiP/IEbf/0F yT76VFnJwwaNmeqYfScqUNvOW59bt7MhjzpXaxzehIqGNirn7mBDYNNyWeJ8 M4pPKKkNk2TDqrS5asj1VmQrLjamJcWGi8ycmmXhDrQm0ivRdJANDinGU/n9 3ej4JoPI+hNs+HL457U9of3o/aqO108DNnieNs+0cfqLfMs4fB9usoEdQNs6 2/gX2bh/ifO+xYZbezavrZcaR8eom0vOmLDBPl3+00z7OGohtBHKrdiwsyZ1 OP3AJGL9u2pb8ogNfEovlk+UTqPxDAYl5gkbsuduCeza+A8138t57ubGBpUG wz9Khv9Q7ATfJ+VnbCgbnmL2L/5DCqNNQ0X+bCg4WkHRE5tFVn2Xb3x9wwYO PZqxoDKPNh+N5i99ywb/89UuV7zmUdnzv3VVUWx4VuGhd75qHgkqeqt0vGeD b4qI6SosoPJXhZKLH9kgtG3gfqviIrIZ5+Apn7B8F42OPbJfRIKnrr9mpbEh TMQxOPgT5p+e5hLIYkOy0ovyCf4lJHR+57RsARvihqXGx5uX0I/3dh+PF7FB bdubXw+oS8h2qcT4dDHGhwrBS1lqGVUm3mjVKmNDyo2k2FeOy+g+KTnoRgUb dDaFeQu+W0bCWgtqtyvZcEA1TLGxGPPTQgoeVLPB0LUyp56C+bXxdi61GD+P woW4+QioMm3PPo96NjTtaZ8qFiOg+wynP36NbJBKElF6to+AhG9UxrxoYsPL p/fstRUI6Gcmn+6bFsw2+E/42GkCesAx4n3fhuFX8aZe6iIBidxMr0nuYIMS R0lRUpuAqnKJnhldGF/76yT33CQgO25Q/tLDhtDfg6bHTAlI9Hb44nc8Gx5Z c49fsSIg9PV3xs8+Nvz3+le+7X0Cst946G7DABts3v/uf/WQgLaZue5oH2TD a+G9ESVOBFT9raYH/4cNf9HQlmkXLJ5/S/ifETbw384s3fEYi7c0vTQ5xobj OslEPcyuLs3mzI9j+npsrf7qERYvSC8lT7KhOUbxbJMzFn/v4iPmNBscN828 43HE4n+8lf1vlg33JLbxatkR0EPh0Qn+eTYcNOa4htsQkJid3AfhRTbUzmc0 dZsTUA16ZiSxzAbFchzPDmMCchD7tWUvkQ07XDdrW+kR0HZH0ebDZDbwJqQ0 5V8hoNo6y0BFKhu+GiRWM9UIyFHi65lTdDYUqjVHXlciIPFHLIr6KnZ+R35O yiECqvul9UWTifVn4xGzIkFATrvf39djsyFiiGvJcDMB1bcqDlqs44DN+JY3 Z0aWkfNev6j7/3HAXrd/aPvPZSTxrO268wYOWFvZxv+XsIxcDt5HvnwckO9w 7dmqs4wkfYo9QjZxQObC10XVA8uoEbfu+OvNHBBNQWUejCUkGZCU/mErB8Ss LB9qf1xCnHtB44kiHCCNUyM6nJfQ+FUH6YRtHMiaEjAPPreEskTPJsXu4IC4 q/RUSt8iUs4ainqzhwPXnha2EokLaHtEXXfEPg4IJye9CiheQIxHuVvCD3DA 9wvOzcZtAVWf8XoVepgDKab8yidI8+h6p8TzAEUOUOSEOp8PzCGFYu4aPyUO DIaUmB99PYeE4+c4Pic4ML7kZ6V3YQ4NWFV4ep7igMHp4ybiGbPoHu324yfn OZD0KXxC23QG+e6Kt7x3gwOTPO11H0KnkCV3wEdrAw4sBN/VTpOZQhf/PRi2 vMkB1fjnX4N/TSL+QtXb5rc5UGO2zZy9bhK9vzigd8uSA4mjjfXP7cdRwcPt 6lqPMLyNHrzasmcEjZfH7D76lgOs+JLZl5860cksMUG+KA6oT624Fc63o/DY 9+zJaA402zGkzU60IZUn8X+S4jgwlh2y5+uvJvRK7kOCQApm86kT1edrkPLH dLGFL1i9czMDauKf0MuIAxubCjhQ4JHAeZ0TjUa8MqhpRVi8ZMNTr3JvFGqc hTcp4YDefwe2+mVHwfDWvHetPzE+p6QEtx8rgpCgb4K5bRxQ3mN3U4jZAEOP lTkhHRzYcGbje53wX3DM8vuiVRcHnDQZ3+okmmFQrbRNAs8Bv58RdVT5NlCg V4SFDXEgsO7sizXxbhiwq91oP8eBA59aiyZ+9cFRYw3apQUO8HLXV29z64fA y/VTe5Y44NqQWHJaegCO7mus/03kwMptxj9Vl98Q+Kc5UGsV86v2Om2lDcER 3W6ODO8aGPE0ndmmNQYXe5fFj/KvAZflzcO8UWNgbiKopCiwBiI9GTd9hsbg 3f1r908JrQHh+Aat0ft/YcWvoVNLfA0+ycWwpZzGQXjj5Ky2xBqcvy+iXps7 DnLh3Ov1d67BvsIdlm3/xsEiDlTvSK+B6g9R0maTCWgsKE+xl1kDw/eOsxvl J2FMZaDCSXYNCvblZGSaTwKjkoZ/LLcG1nHrSz9GTMLRZiU+r2NrwL1DMDRy ehIu6+rv8zu+Bo+OJPG9EJqCu70uas+V12B4WOJul+oURP/Nf/RKdQ1EPzm1 GQdNwZf7ba/enMb6O7J9JjZzCpoW5z5HnV0DCanrkweap2D8CV/1+3NrsOv+ g+wNs1PAXD00mKi+BivZFzRVeKZB1P8y5eOFNRjs38Eo3TcN8hvvCaZfXAOd eh/pV+emwUo49UKe5hr8l7FdQsZ5Grzjqk0Lrq7Ba5EVD3LQNMTuHn1afH0N NlGdrUXip6EgnR1ZprMGH6784H6ZOw3NsjtzK/XWwMo0NPNm5TSMF5xuqNZf A6cTDc2erdPAUrk9Wm+4BkFb7XgZA9Mg9tN9tcloDaaPnD7cOzkNxzRiRdqN 10Cj9I244PI0XG0uPtp9Zw2+7BCazaBPg7Uu7kqv6Rr8cHmI+8TB6uslWv42 X4M994RV1q3/B7EmQt7Dd/9H0XXHY/l+4XfTspKoUBKVjEqpyDlWkVKEUCql UFRGhcoKSSokEakkm6SyeczsvSL7tVeI6lvG7/n9eX3u5z73ua9znevc78cf luC9wUhQKccQpPTKBPdeWAKu3t8hv5cNQYXFsZQB8yWoaOXnCVo+BP0TVytG LpP1iHgy/ppcX7D37Z+wXIJJVp26CLlf4G/s4vQVUg+fqCf56EMg51Yq+Mt6 CUTmYxxcF8j8WIO7/l5bghmHg9utfg2CuR/j2OINkg+uCoHGiUFw4dtsQbMn 7zt4aymfPQgvQlTcWTeXQL1apHIvef8UkfNhy28vgebT7+77SH4qoly+cDkt QdFK/6MVJH/921/V8t1ZgnNS1x2mEgdhMSV7RODeEsh+cL3wIWwQBBXa6etd l+A8h/DrFQ8HYWfuH2FR9yWYX3ezftlNMj+1tfs231+C7eJ0IvkcmV/5Hj1J ryVQjubQXtIchJBmO2/Zh0sg7rPSNH3tIIhf2q7H+4jsj6gwgd+LA5Ay2yv8 028JluIf9ooODEDpat0vaf5LoMQ9b6GcPAC/dGX7D4YsQV9xXbys/AB49A5+ EH25BNWt++sUVg8Al23EHWr4Ejxc/dpWZ7oftvivWl3yegmWJXvuyo7vB/2a MZWjMUvQ2/LWQWw12T+m71bJxJH3o7wqlR5jg/WESRt3whKEt5Qp2Ray4f7K ihuNyUvQwfC0SbvGhtQjsa9N0pbgFGdAfHNeH3CXmi9YlixB5mOZIgvVXnhp uKH8SClZ3zG5qjCeXpAYbAzaUU7qtzmMad7VA8pMtR1TVUsQOEhZXu7YA9Zq m07fblqCbzRO1Q0nu6GC6MzwYpP9t+rNnreUDlA7I3WgnkLBFS2/9LyMm0H8 qv6FXCoF7RIqtqnMNgHL+Z5vHI2C6i1hGqFPm6DiRW27O4OCp4t6jA6Tvyf1 Gu3v7OKkoGZnUt9n1QaQ7wt/J7KMgsWSUTds2PUgMF1SuXw5Bce+vyvk9aqH di7BDewVFJQbtj2vVlkHF47k5DzjpiDP3YJvwWU1oG480O/KQ8Fle56Hl66r AQlLrlXWvBQs5zyy9vz1ahj1Om+qvpqCoR8K96zYWAV2BYzFWQEK7vI+OM31 thz066QletdSsN7Vc5c6Zzns7TbUqRakYKzj83vn7Mrg73xsxPt1FCwp2HPT /XgpeOw7BoYiFPQxZmlOy5SA+eFbFqqiFFz8eMqmNbkYDhm+fiqzkYIxqQHW q3YVw3KH6W6WGAUvX3A58kK1CMY91nH+JHFns/xVal0h1ASoyXVvpqDCJHN4 6HwhBH547pa+hYIHpL9e03tcAA55ebHvJMjvz/mUjGwtAMPqobqnkhQU3+rI I16WD+vG9m+y3EbBnPC8iXe8+TD/3wUt/e3keXrc937eJqCL088WpSgYnbN1 cUtTHkRKdBUISlNQKbh46dS7XPDcwzHKkCHX+0LSbAVy4bK6HN80iWM1HqQf CsgBzZPGBzplyfVfQqJ9q3Ng+wWPC+VyFPT7b0FRJyIbVtom+H7ZSdZbZv+T ILlsmHRtSn27i4I0C7uvuRVZUPdkof3xbgrKB2qX1FtnQeorCbqzPAWDOWpe tgpkQVDicanLe0j9sEa8mssy4Va240m9vRT8ak2brfPIBKOKt3eUFSgYnxzq VqOeCQfaKt5t30fBkLULs/VcmbBh+GelwH4KDp7m1ezqyYDFXxtmaQcoqHdP KmIuKwN6mIc2/CDxNcaCptCrDCjgv67+XZGCF/wDS7UeZID3j0H370okHz4d 8lmOGXCk4izx/SAFz27v/B1pnwFc71vmvytT8O6c+hUqud7gqnOgA8h6t7QU 1ntlQLDJ19sdSEFr77k13GR8kz3KXzpUyPV3OoafcjNAhCdtpkOVgjPu7wzS hzKAPSot16lGQX2fDyV86zMhtuS9Tac6yYfgjv05pzLJ34nCCZ0aFPzTMi0e 9yoT5O48H+48REFUVuitHs+EWYNVEl2HKWhiPB4vrJEFGXJeF7s0ST147H7v G50Fd1csvOnSomD74q92Jm82MAvG13drU3DdppovA5QcqAgzN+4+SkHvk7Yc kt458ORWR3D3MTKfB5HTsvy5ILCjirfnOHn+Ldh/6EgetLPUj/ecoCDXzrYa yZk8iOjN9uvRJet5StrOKZIAyRcJHL0nKUg53s5gPsmHcdvNGr36FOSLMXrg O5MPKUfDPHoNKGjMoSvOf7oA9tEeLfSeomDDyWbDvwqFoGVz5WffaQq22S9E XBYtBi7NPjn2GZKPbwPW5pHF0CBmco1tSur/9td7Q1tLwOSb1gj7HAXv7z1k twe/wlW1bd39F8l+fpls1/u8DB4LDVcMXiX7p+j88JfKatCbPcc5ZE3ByaAd t0vu1YBAbavGkA0FE0TRfdWuWojwLM0fuk7BG+y4OfsTdfDhR3TasD0FzTcf u/Gkoh7qSy5Fjt6hIHvtyMeMnibQ2RKf0XaX7P9LG0xGlZuhynOypuweBTME DTIvvGqGr2q3/0W7UnBDcmXiP5MWyCnw0b94n4JlDIngkNZWiM5NYHX4UjBi 5mZXRlU7bBae2lD5iIKqRmeSRbd/hzd35Xdn+VHwg7Lps3UPvkOYYu65kCcU rMgqb30NHeCfWZOhH0jBJJzVTInrBOcv01eqQyk4FegiIb6jB37z73XPeUn6 md7Jml79HnBwcH6REEbqf5mSFt+9Hri+m1788BUFH7j+mU+r7AHzj/zCh96S 62dvprqZ9UIvj/HuPZEUHAqKZhzy6oWzN15pib+j4H9PZwYMYnvBWFbiFu09 6ecnt+xQHe8FnSSF2rxYCgYW7xktv9IHlSvvDiTFUXBE54fjeZ8+0LTO/xce T8FNjEMtG973gZqU1tY7iaR+s9Xa5r73Qb7vY+UrSRQU83uxbvmvPlAerdc3 Tib980Dqhd3cbNgXZ+KukELB86sOcH9RZsMXztcvJD5S8EwKTxzTgA27LNlJ a1IpmK+j/uX0FTZIS1q3//xEwd3bdtguC2RDvHfKVN9nCkppKMwbR7Fh6+As q+ELBV320j6+/cIGsff3dqekU9A2vBOWNbPBo47n3KcMCr6xCFDS6GdD7793 vmmZFJxT6w04MMMGlFRIy8wi9euRZzuwyIY3ehW9OdkU/FX3T0Z1eT9QXExX 5edQ8NTNvIPH+PvhXNzUvqJcCloqju+mC/dDXtN98695FByff15+XrwfRChr /csJCh7NP9t2YXs/uEjFZ1flUzDtfPd5lmw/dBoeHKotoODrLyx3zV39oORR x9dYSMFzsrdcJOT7ITzponJLEQW1u9sLXpF4/tsvq7ZiClb1qn5L2N0PZxi+ zztKKBi06bq9zs5+yJEVLuj+Svbz1U1X7kv3w/rTKeN9pRRklV3O0NzaD87e aoKDZSS/67tcwzf1Q/vHFrWRcgoKzv3luCfUDwc6ra6PV5D8hajnDXP3w0vO hZc/KikouyNgbxeDfO/v9v86U0Xqneug1Jk/bDA+t3lmrpqCRVpn75mNsiHD N034vxoKZm2YlZ9oZ4NgmpbWfC3pv+F87ovlbHDs7XBYqqOgxLnlGUHpbGhd eeMNrYF8D+zxO/XhHRv27qNXMRspWDtUxtB5wobgi8G/OZtIvmb8/G7cZsOv J9s2r2ym4MYjRmyBc2wwyMrR4W6h4BE+uy0qGmzg52W/X/ON7P/EsXdiq9jg oHSrXrCNgh1je3vaJ/ug0WLZwvp2CgqlpHII1fZBYJ6svlgHBUedlWq3P+qD mZFC1y2dFNx+1SeZYtEHumsME7Z2kfPoydXf51X6gMf6Lk22h4KJKgf/fp3u hRsvuGV29ZL99ttqZ11pL9QWRhrv6SP1kOVQdSW8F54Ilaco9pN8Dqu1n1Hp hZWla85pDlMwTNLvmZMz+R6bifXVHiHfSytPr9bT6IFKYaU0nVFyHqe7YT1X D/g6XFhlME7278M8pUjFbuAU+5BtNkXy4d/b5mzUCcx7moJ3/pD8atibD25o AxHp2A02/5Hft1/81Rf0DfZ2cmw695eCAdLP1ywt/waWB0u3qc1T0CspgpY1 3QIVCxqKKyhUvOH5baVKfBM8cVE7G8ZBxVsbQs0+vamFtW7KUdkCVIwdGjz7 7d9nkJOLiE1aS0Wea40eKQdTQbNnIfG1IBWn0oykLP4lgzPmfrm/joo+84rf hWfeQQdFqVRbhIoUB5NG1zpb4o37/tHvW6hYd1E3vPZoOrHtvrzcvDwVuxqG daWe1BFnnXtvjeyhojNP+qEcmXoi0PZJbsteKvK/P9YuVFNPzJ8bPvJxHxXl OGdyOZc1EjVK4ZcuK1GRMWjvY3KtmaDLayWePEjFIOro+jl6C7FP6tcMKlPx E08G5e+LFuKt0Am39UhFx7zQvauzWwmHX/SwOjUqqjo9Pqw03kbETqT05qpT 8Qinb0avfTvR2W+6NUGDilV+u7Y9/6+dONSY/sXrMBWj9K7y/l38TgilXK07 oE3FHouoe0+nOgmdGMG1W49SMU/xzvPbFl2ER0SJ6ZpjVPSIad0n1NFFjPuJ jv3QoWJxafNrs7xuIs+qkflej4ov3bYELKT2ED/Pux0NPElFcX/2+fr+HmKr kfQzV30q+gtF+JxZ00sEHHqw0cSQirYXqwse2PUSXw/KWxw+RcXkBzvuib7u Jf7K9ybJG1GxV41rwLSilzDfrKjIbULF//548hAb+oiQdcPu8yS2twtSbFfr I6p5n5eNnKaiZGdun59VH7GX8sOg2JSKGecbPONT+oirv8PCP54l91uPJ3M1 9BFvJjXZEeeoGF7F83l+uo9Y1hl5w8mMistCNldaSbMJ5abj6ZcvUHGv1IbO Pk02YVc5v3DyIhX/KX6paLvAJmIK49RVzKk48kOzVfsOm+jINHwkc4mKZyMe m+0NZBM8H+kN6y+T9d5dyw6OYRMasSmCyyxIfFpi9ko2m3B+bXruF4m9nJLU U6rZRHLw8mi2JRXFzn96Z97FJtiP08frrMj6fR375zXBJgS9zHfnXSH1eueV Pt8/NnH0Lq9zwlUqbtKpqefg6Cfc7fPyQ6ypOJNg/dmct59Iu3KVw9uGig9H bplIrusnRs0EdeyvkfVT2gg6m/oJUeOSoPPXqShg+vNvq0Q/oX/C7vuxG1Rc UT2jVrS9n7i6+prCcVty/42LT6Sl+wmPFqtnJ+yo+N7upV8SiUNDL/3Qtadi hAiNR3VHP5Fyxkz7pAMV1U+Zrx7d2k+UiprG6N+k4nNrzuyozf1EV58R3fAW FVtY1fq2G/qJuff6507dpmKIuLLR8dX9xEqrE9lGjlQ8tC3msjJnP7F5x9G1 Jk5UfPx3o7Yyed8DPw7bn3am4uz28L8642xCN1Wt9swdKnrKDT278Z1NWN4E qbN3qbgUnXLuXRmbcN2n+ODcPSoOhnvVDX1iE8H/9rLPu5B6GKv0UH7FJorc ZcIuulFxpb7q5JYrbKJdfftvc3dSf63cHzOOsYkpDomTlz2oOBp4ocxMlk2I PBFeYeVJxUA7Vv38eB+xR1fI4ooX6QcJQ2tnyvqIo/xriq56U1FzVPIs410f 4fxy5Z1rPlQ8UXPnlI9uHxFgytl6/SHZr3JJMYtb+ojYjYzdtr6kHxWt3hn2 p5doif43au9HxWCXZQO6Ib3Erk+jJk7+VDzpPbdnRWEPoXVrMM05gIrxHSUh HD49xPn9fXx3A0n+n1FF1Y/2EE+ItgqXICpynvxcs+51NzFaWXbAM4SK16S2 P/hwv5OgPi0O9gqlYmPJgc3Bsx2EoF7+jPdLMj5oFqhd6CAOfUuPfxhOxeZY nvgN8t+Jt/3R656+oaK2XJ7HVOo3IiMm8pb/Wypqyc4837fiG1FzJaIhIJKK +k4xaa/PtxLzU899g6KoSGXndv+jtRBGC55/Q2OpeM9U5d8xyUaCR+Bie1QK eb+G5FScLSd6TKW4n3+kYpmGqmPzjTIi5f1PNa9Uko/xQHX2yFfixB7PpEuf Sb/YYZJfXV9E+Ou/d5PIIPkt4g/V/p1FcD8bkoglSP5flxi5B14kuHis7RNq qNjnsuBvolsJXafkY8NqqTgpFFA6y1sNya/nOx7VUREstC8mNtSAjuzjQ9YN VIxU2C5P3V4PT3SShaRbSD9e1bUvNK4JuB5PEcmdVAw99dk/8Pl3WLX85srU cbI/3R7dXjjfD/nCfoZpE1SU3fCf6vrqfrDb+e5N1iTZL6+NdDT3DUCLUb18 0RTZ39s3TaeuGISIGGnTplkqtqn8rKFHD8GJbPWYb3NU1H3HbdC0bBhotaen O35R0VA30Pmu9TBY/HroNfCH7A/Wq7/7ZUZATmMw6dc8FY3MyrhyI0ehz2jh 998F0l/rry+Fz49CkDW/6tIiFX8J3XMRNxiD/56ptnBQaRjsUP6SnzYOhX0R i4JMGupa3dw1emQCHH590RRm0bBt0+PHt0InQGJ5deAmDhpWvYii3x+cgEc7 /0lsX0bDaGHK4RV3J0Hf7dRxxVU0jBdhfr0S9ANYQddCgYuMl3/8sU/LD8iI 8WKrcdNw650t+zxXTIFw7afbR3lpuKNNRDlAawrq+ioKTvDR0OfKOo/TFlPg 8at3hcFqGgoOi+3W9ZyCQWGeN6ZraGjuyt6QlT0FITslR80EaCgZHLBNqmUK jmgoy19eS8N+cVPtoh9T8MHauuyaEA0vc2w8fWnjNDhml025CtNwwjpdyPT2 NGyv7T7gKULDWy9KEmZ8p6Gj75enjygNXY61Po5/NQ0qy7cIBWyiIeVm4TW3 /GmYFVa6+FyMhgxfl30RddMQvfNkUuhmGnJ3zQ11dk/DcmN3lcgtNJwLUHMo +vf///8T8ihagoZXY04WWXHOwDW3D83xkjT8utuhYxf/DGwM+ir6YSsNk/1f 7RAVnYHGmE6rT9toWDl0cY/sthnwzp79lL6dhgdGevwu7pqBfbUrFrOlaLjM Oawz58AMjPaJaebvoOHsGZtBRdUZCP+1P7BYmuT322XnXs0ZuKIbIVIsQ0MP 2WsXnuvMwP5EWkKRLFkvmv4dp5MzwMlhoVAkR8PIRGrJk1Mz0GJWWVS4k4aW iUm6LSYzEJUje6JwFw0fdGVo6JrOgN3aoI6C3TQcmH/YSjk3A2j3x7JAnoZH LS2OD5KYu/rMXP4eGr6E4xz08zPQJVngnr+XvG9Z9RUjcj3RYwtXvgINS2Qb fg2R8Zw7H74k9tFw5LX7/k+nZ0Bz36QEsZ+G23M4G7KNZkDgmd6nvAM0XHfn 6g26wQwMTKRBniINra6ebH50YgY+a66vylWiYc2ljnpD7RnweOdqlHuQhrTU c4cva8zAiUV2f44yDbXfHZTMUZ4BEWNN2xwg6/XpvZ2JwgyMf0pcyEYaKomY HlCTnYFsLl7fbBUa+q7wjHCUmAFfq5sC2ao0XK5iXDO/YQaMitsis9Ro2GQz z9HANwOzTpHZmRo0HP29ut1xfhoKm1iamYdo+PzuxN7jU9MQIHu1KeMwDdfo tW9xY0+DzMDuiXQtGk5/Xdf+r3QaLE6UiKQdo+F5s7JTUQ+nYW/CtoQvOjT0 rnj0OsRxGhisJwpfjtPw2x9lxsLlaXiTbXjisy4NZc+4V21SnYZ2iWH3VAMa HnHgOCQ7MwWx7ke5Ug3JfJgPef90TMGtjpSXH0/R8KdcpYFW6RSsDnT6lGJM wwLtF9sCX07B0YXlA8mmNJS4PDMkqDQF64yu2yafpeE1s5eb3TdPwUhq40LS OVJPcf3n/ZZPgbdluECSGQ03Dn3V3P3hBxCN0poJl0g9JuW+7f0+CbviTyTE 2NBQq8PVzlB4ArIeuvMEXyP5yuMkPg6Ng4pV6k3P6zSk/l33vvrjOJzYyo9m tjRsPBaVeVZjHGyiW5vW3ST9Q/PCft8rYxAbeXbx8V0a2qQqiG9MJf3N4+nF u/do6GzvoqpyZwTSzfLLrrjQkMvcLtpVfQS+bhR7dtiNhuN3HsVdaR0GdsSA JNWThvv8V/oHLQ2BSJi1rsMjcv+2+R0TpoMQ7fwq7YIfqQ9NXYVrUoMgbVKz XvcxDW9HF+iZ/TcASkJyg9JPafikU0zsY/AAGL/46TwUSOpby830Tms/9NwS 72l+RsOEe9PPeOP6wdLQQKM4iIaDqfvmlO/0w6016dxvg0m/yMhzuEH+/gx6 5hxl8pKGnBpyrZE32bDePmGZVhjpL0anTlocZUOkXsc1hXBS/5oX7Nmb2fCR V3k/fwTpj1cF9Hmb+6DmKbWm+i15X1XD3PfYB4bXd+3OiaThpv+seH2F+6BT 52JI/Dsa8o0Ssir/emF8VcmFB+9puJhnH7s7sxeW+fn8xjgaBr71PH4besFO gdNOLZ7U++K4/ejGXtL/HoxrJNAw/ehi6DV6L6Tsf9B7JImGJmbA+lLZA+sG WGeOJZN+9GmX+92PPXDf37vl+AcaVoQ0Xz4X0gOGQ16V+h9pOCn+8bibVQ/k BzIPnUol/dsx4HLhyR7YruyVb/yJhioPubi3Qg8EjTAUz3ymoeqW5b9TpXpg Icjzy9kvNOz6czLGXKgHLiNDziyNhm9+ed1X5uyBurH78RfTyXhq5c/uT3XD gRf0LZczaPjJ2Vuiu6EbolTvv7bMpGFaXev7gPRu4JqkrbuaRcNVqmuTwiO6 4XaoR5BNNg132qr7UX26oUedxn0jh4aKVuOHC+y74ciU+0O7XBpaqwiFdph1 w+cwKuNmHqnPt1oTJ/W6QeSwu8ttgoYh225cltToBp8Zyn9O+TSUT//bbnig G6ZfudnfLaChcEBvc+/ObjDRoky6FNIwxSYvuFSqG4pnXS3di2h47NQYL8fW bpB5s9R3v5iGZ6zipiIkuiFE29XUu4SGS2bHAx5LdgPt92Krz1caZtDdOOq3 d8PVSBe9R6U03KxiucFCrhuaji1WPS6jIe5gHj+2rxuU/7t32L+c1N9b2yY3 1W6IjVooCKygoV6cYsiiTjfwnrin9LySvK9rgVKRaTc4/5tPe1FF+qlq8PrK a93QH31358tqGuYqTGrweXSDjt58QngNOZ9C+byCXnRDxsIdide1NCwf7jA5 9qEbxOL+vXlbR/rXh/20feXd8Ej/zvqoetJv4lOvHx/ohtmlv8+jG8j5JEHZ VkrtgbMJzjxxjaR/aOg+/M3bA7tozszkZrKecZrguqcHwpP+c01pIfX/RE2/ TrMHmMZOf1NbST8oKWrdYtoD3z44/khvI/v7vYNSnU8PqJ7+Y5XVTurzflmz 8JseSGA59ud8p6HdxS86Zhk94GJ6u62gk4ZmI6dnM8d6YMuKW0WVvWR9m07/ VTTthSdpcwdr+mi490KcSdGdXvhjdjOjjk36a0V6tnBYL1RlOCQ1D5B63Jc/ rdBB9stl+xfdIzQU97nlbm/RB0HBxGjdKDlPBRfsAh/2QfrXFcqFYzR06xxU 10jsg3mJqP6oCdJ/aBEb9X/2wYOhpp1Xpmn4S/CjfOADNoRb7q2a/UNiobCl /cX9UHrlP8pyTjrONlhnL7cagtGXGvr/SKyq7Xcn69kQrKwMiBlfRkfRTTd9 T+YNgZ7Udp3aFXRs1469s331MHSMmYQFcdMxvt1/rDxrGGasc/aIrqXjnrrZ nJL5EeB/xfmQR5COFdPvX57aPAoK1fodVCE6Wm5bteu21ijclZ7w6F9Hx/Sv JUe1gkaBY1K4Lk6EjsnVGw++3jwG20WubA4TpePLAd1ixqExOKqTdstvIx21 eT5erbIYg8BkHeHrYnSMTpjjs4kbgw3XXa/IS9CRVilz6KL4OJweFKRskqSj ZsDToEwch5emqc9XbaXjE64/a3XPjMPaowP5g9voGKzY+WhnwDgYFrkYNm6n 45WDF31s48ch6IDgOCFFxw8X2ht6CseBb5v22lBpOqaFJ65Rmh4H3Tf9iV4y dLzcfiBUlGMC/Ne6qNrJkvHGxt03bZiAVayPNto76bjlUbPhDbUJOHrvCH3f LjqOvJA2+WIwAb6z7BDx3XQ8fjxpmtNiAjjZAsUL8nSsKm9qq/KegMMmKcaj e+h4hAhp2/N8ArzrtX607KVjPZ9tVUTkBBRrsj2LFOgoZ6SqxPgwAfT8u+tS 9pF8yKWUXsiaAFUFgZTw/XR89cRWLL14AtySP2g8PEDW+8C7NYvVE0Bs0fp+ U5Gs1zNBN/mWCVgM77txQYnEzvGGpzon4CD/Xdbxg3R0dfCMusiegLuP1oQr KtMxYuT6I8Nhct7SPuzcCnR8e19YXXp8Av5z0izlRzq2RFuLDExOwL7p3jNU FTqu/ZfifmdqAm5Z3pmZIPEq6q/xCRJ/6eb3aVel464k/L2fxLOGycKlanSs pdUeNyX37645/OmTOqm3OIM8g7EJsNPo1XyjQccvToqbNw1NQEqOc5ffITr+ +tlwO7d3An7s5ndwOkxHifiAmq3fJ0AmIWnZZU06PnqocdKscQKsxQ6/1tOi 41ZOTe1LFROQENojD0foaCvzYc3u/AkY5XGukNKm46LTXanyzxOwzWf1ecGj dMx/Vi4qETsBlkuJc4xjdDzYOvNa8+UERN869GiaxJPvCXvZRxPke7F7Y5cO HR3u+9xrc54A8UtOaRXH6Xjvt0mWhtUEXOjgO5p+go6rd61XtTecgJ4Kjdv+ enR8w9sryC09AaKq3SvvnaSjtfcPkbsCE3A20zHSSp+OtyvkumIWx+F7TEK1 qiEZbyJd7EDlOKwT1bgoe4rUw/Pu/W8+jINRcNef9UZ0NHsjIlMcOA4tnrzi c8Z0HPJeSz1kMA5r5uMze03oqDwcphMlPw769urHa07TkV/ou2EB3zg0mN12 jjEl+S9ZFb2/cgyqlTvrjM3I8w5lf1GQHoNJ95I7JhfoGEgYWf9cHAWekiSJ 0xfp2Pkq48jB2lHQ03a5e+YSHe3Csl95XB2FllOiW89Z0dHp9x5i1bMR+P2S o/HcFbK/WrZV2BuPgGDXj3vnr9LRReUGt7PICJiY5zea2dDxcaChgH3UMHTd MHM1tyX9wWFzvO2bIVj6pLX9kh0Z7xhLcPeZIdj4e2fzJXs6ZgSXMVMEhuDC PZqUxU06nhe8+G78wSAMPnzXYuVEx1O1z7eNnh6AycgB6evudOReEbVuR00f cA9Wf7vuQUd1/1XV9bf7QG5b2v0b9+lIPWdc5LGxD+w+eLfZetGR6yzDT+R6 L/zKlvRyeEjHffv9v4+R82WxyarDKYCOAepbHNU42oGbY9LX8y0dOSdD2IUx FTBaE8nlEElHf5U/FJ4t5VAcfCrw4jtyPdbn3s7IUnCUKAhVfU/HSLm2n6fD i6FHIyiWEkfHP1lYe1MiF1I8D3y9m0Lqzyq8/yf/c/A9+kPL+iMdcbDg+1CY B5jzR1WfTqUj5bJUI4/lRUIwalXzgc90dNOO0L6THUq4FfWw/6ST5zm6ru4Y /kicoD2g3iToKC7nFs6zUERsr1D0Ms+no69k8nV/3RKCETjFqV9Ax8/RXNNT kV+JjE0mPLuL6KjTp1MxrVhObFSRFp3+SsccIoZ5XL2G+MvZF9lTSkfB7/Wy svdqiaa6YIm6MnJedH16LWhcR/icp8h8qKDjshV2azb61BPTro1KNjXkfXx2 LqyqbiSqDvvkn6mlY15MhUyNURMRzX1Q/Wgd6V95NSzNvibC5HW0tlQDHUsF xBpgspkozHMyGWkm/eJd6ML2kVYi3Fum61sLOX8ORzhFmn0jbumwzcpa6fiV /9V+79ZvxPauo1YxbeT8eaUsdj27jQhcEHW81EnHG8r8Om0XvhM6AZt5rbro +NvtZftk9Xdi+RbJeOtush++cR//sKeDuH9UpsO+l44ysb4TK/51ENiz8+bt PjpKRjw6GmzUSczb7+G6wyb53qK4FJPaSTiEKaHHANlfr2sX8EwXISeLbV6D pB9WXWnNSOgiJgrV7B4O0VFAJWVT6O8u4vLokSj/EXLefZ52vu3ZTYi56BwM GqWjkc3xh5Yl3UQXr17LizEy/g4Fhj61hzi135jz9QQdHc1cBhf29RD81Wfe Rk6S8WVOVdH0eoi68+cPRP+gI4ezqa24VQ/hN3uxMW6KnHdzNyLOu/QQmj4W 1knTdLyjsvvQl4AegrHhKvPjDB09LMFr47seouDDtYjPP+loY2ga+Sa1h3BR s1PImCX1rfqRSz6/hzjQerMue46s17KhS22VPcSvK05WxC+yv+yNrz1t7iFS F+/Sin6T553ZI2TQ2UNcC3QL+/qHju9LQzy2sXsIKQlP+Yr/yHlRkTS9YqiH GM58UF39l7zP6YJv/4Z7iKhjjy7X/6Pjmt8GzX9IfL73yVLTPDkvNu1KoZHf b7gZGPJtgZxnWVdMhch43ziDd3Ys0rFD1mpeiTzveXhoRffS/+8/0WpD5qMn 9+oim8LALb9XXE4k8+UqfjM/SGWgrYCk5n9ED1FxKur5KI2BKe39RwzI+3qP xchM0hmot2vj5YLIHkLVNaF0mkGub23JUSb5WuL7cH6OycClSa5XNfd6iJzo 1P/+sBgoW1ToamfZQzgeSAuc52DgbGoW5w7dHkK+JlOKsoyBMio2rAWFHmLK LLeYvpyBGT9abIc29BCJc/mmHCsYKHDxVUf7Ujdh9bD41/KVDPQPTAwUK+wm +lIqt/JxMVCu6bqGk2I3EaFeW7CGm4EMg5Xrns10ESbfGkyEeBhoYRVpsvi+ i2hcavPbyEfGa9th3EftIvyfdW4RX83A92GdLpbxncRRyd48SX4G6nyo6DI5 3kkU6wxPyQgw8KtdvF/kkw7CrW/s4a61DJxh1+RxbOsgDt76IbZXkIF5bNGZ P8R3Iu3VL/2D6xgY1XLjZiS7nYgZZ2RqizAwJPXwMkF6G+FWahB0RJSB900E foLXN8IoMvq61kYyHnE98CzjG8FppClxWIyBxXcdP8f910JcKXr0TFWCgS+v BvjHFTQRMi/5ru2XYeD5sy9MDr2rJVg3L2rtk2Ugj/T3AVndGqL7+GdxBTkG 3hXQlPX9W0X4Mw2/y+9iYGDBfQ0KVhAzN0I15fYy0PHNz1W8ocXEl8MbN0sq M/CP4nrxB4ofiSditotbgIEbFdxGclUSicsLBW3iyMA6XkbDZ2o0IfDpor+Y KgOnejex//saSDiKxCwIH2Jgj4FrmKraG1Cak/7Gr8PArkNSPnd3FkBRpOJj 2lkGZkfePCHT1Qz6NGOVKRJ/Xrb7+rW3LTBodmuu8xwDKftaG5aZtwLnpo+m mWYM5OOaKxIe+gY6ryVkblxiYNkbt8Fj7O/QHsZb22nNwIjilnnjph6w/idz v9KGgYaJj241SffCgslRhcxrDLzOMXQxxLsXNq578DroBgO/f3ljO7CnDy6H zF/XdmBgR+rk3JwvG2aChngy75B6sg2/v3/5IHjOMkqi7zLQrkL1U6bBIKzR F3MKusfA0N5D62TfDMK+1aa9110Z6Cdz9cTQziFwCWj4KHGfgZcJrjQ+zWHg mf5xid+TjPeYfbbAdxjenli1juZF8s/Rv1mtahiKuTU9Or0ZmDmhWpCiPQLL nuTqBfkysCrAjKdWcRReTrSzPB6R8QZmP6c4jMKOY3+yrvuR/aHz7KlW4ijo rNy9WfsJqe9Q0+GgtWPQc/VE676nJP8iqxJUtMfAttLmkYQ/Ay8t7JR+eW8M gnxjf1IDGfjOX1tSvWsMJEZLYn6Q+KlTUL7/ynFI12Kf7nzGwLkY7TOu+8eh nVOkOOM5A4/9UFl94Ok4bHzwLOh6KAONNB8xprZNQFDqkqntSwYq144vXzxO vse7rkrahzGQ+8W7uHMO5PtSXj3r1ivyvMwm57UZ5HvufMp9xwgG1u++9ftK 6wS0PNpwzPk1A934Ot6snJuAvL7Z7ntvGSj8u7Nir9Qk7OIyi3ONJPXRtLEt V20SovdX27m/Y2Dh8tuy/iaTsO7SfqX7UQys1OlzSro+CY/93zO93jPwbECd 35r7k0DJ4a31jmZgajXXpbKgSXAYuhfiE8PA5WPpkl+jJmGYb9TMN5bslxRR Me5Pk3BG2VDKL46BPpWZ5e+ISaizKpx9HE/qd3Y+27NiEtSfy+Q9TSD1Lqma l9o4CRn5Lx8EJJLnL73Olfk+CVLjLN1nSaRe5Atr/uuZhIi19uueJ5P+grnS awYmgU+tmx38gYEmcl0HPYYmwfuadlJICgNd4249VB2ehL+h6bdefiT1KPq+ 4BS5fq1kM4anMlDhuFBeUf8k9E09XRbxiYE2s013fcj4hhvmG15/ZuBQ/fCm 2PZJKD9sGf72C6l3hsxvcTI/JfumS+/SGFiT8u8qlcw/JQJl36eT/PC28SN5 P/GKxD/RGQzcPi6VwE6dhJA5wcLYTAa+cWKv/EHys3KT16P4LAaOF4sqXXo+ CW5Hp/UTsxl44GnzWS3PSZi9bSqSnMNAMeJaXoTtJFi8Kx/6kMvAW5ctSi1N J6G9Zs/Hj3kMXG85xJlweBJ0/r51/kQwcLjMSN5KbhL26jqvSi9gIJ6wTbdc mID4u4MtGYUMrFDQE0olf5+IxOq9ySoi601JdnxA/h5jLm3fnVdC6mFVZMyQ 1wQ0JX43Kiln4L3Or82Lv8dB89thsdIKBgolfdfZWj8OOfTPY2WVDIwZzqyk x43DOxM/l6pqBm5wdvg7oD8OdpwHoxrrGcibLic2/WoMBnfH2TQ3MHCfxciw ms0YGJ9bo9DayMD27qLYm4pjgGkT5e3NDPzNGX/6SdMocJtH/OhtY2BfGKGs 9ncElPhbAxraGai/mVbCVTIClsXc8kXfGTihwLF/+dMRKBR3d4zqZKB8auD7 6I0jcHPgItWil9T/2ytmPIrD8P3yttXjwwxc6RQ/90Z3EGKsPu/99ZucJyeD f3DI9kGT0MS3wT9k/ia/uahjvUCp2HKn9T9y3i7mqwxG94LJ9hdExj8G7pyV 7PAT6YVVY06ad5ZI/7DWT5le1QP21mBC4WCiTl147M3+7wDXK+4tF2DifOzV TYk/GsHn8okLv0jsK9pjtOTcCHWmLYf61jLRPuPabyeORrhwtI87S4iJLD2R TRziDeC97e9bK2EmJnSzRS9Z10HtRjdvAxEmfqlVuvuNWgeCgqyrKqJMrNFR zb20sxbiWHzyQpuYeI1ffo/982qoYm/7WibORLPvHWveuFfAmu8f4j9vYeJg Z2jIneJyONuw5+kbCSYaH3sq5L+8HKbyVYwctzJxsSWL89mbUlgdYTwquYOJ 7ocqhfbMFcOZ5901q6WZGMdqvMd9shii/C59WiIxV0D9idufi2DvHdu7rbJM HJcPtuTzKAQTo4dcD3YzUVS075uhVj68O879006eiW7+B6OWfAgYP/S89ewe Jkbetu7v984Dlz1v3+xVYOJszdCz4NAcKN0h6SW2j4mCydzRt5OzgUc8yYpr PxPL+tccWVOZBW/5MncNHmCid8PylOj1mTC6DNY2KDJxA8+u17HHM2AXteRf rhL5vU+80/1H6VD8o674uTITN37+atC6Lg1WDRnGuQOZb6fI0qlrX8Cwq+Ox DTKxbldxX375ZxiuGjbUUGWielhljG7IJ9hZfE1xpxoTBRaeRDmv+ATO2bOi wupMvNXhzffEOxWKUp0ZyzSY+Jdebe+7LBVWxlNGZkk8a2PtZBP0EQzeelf3 HGIij/onurzkR4gIWZladZiJPtQXYu0FKTD4NDA4Q5O8T9J2gdPmKSD7QPBO lBaZr5jk8Y9cKeDoEnHO/wgT36Qs7050/wD5N8XV72ozsUrbINh7LhmW2cRv tTxK3if/WH23YzLomcut0j/GxM8pnIyYFckQdjptGnRIPUqcXFGelAT9ekot UseZ+OdGqMzOc0kgfaQwa+0JJnZsn95ULpoEt1Q0X9N1mSh/8hCn049EeMsQ DqXrkfX7U5FNrUqEqtLpQPpJMt6rtjrurET47fvVj67PRPN2kZcumYkgphPm TTdg4l3RmKOSFYlwjPeGG92QjJexi9E7lgiOTerO9FNM3JGbX+omkgRRL4Qc 6EZMbAo68aTNLAlqTSZt6MZMFHdtU8v5kgR/hYss6CZMpCTcrvktlAwSvS/M 6KeZeMa0ZrXxk2TQjbI+TT/DxJVuEYvxfB/groWKAd2U5FslwDMt+gPEbBc4 Tj/LxK1z6ww3bUmBholRTfo5Uh+HQrV8XVJgq0OQEt2MiUrCPacqDn+EkwpW e+kXyHq8giGz9I/g8vegHP0iE2MPGx4SlkmFJrehzfRLTNxXLX/vltwnWFLL EaZfJr8fakyqzv4E2zkC1tItSP3W3rDIPvYZ3B8fWEG3YmL8ksJ4kecXSDzB zaRfIbHkhE3AtjT4trp/kXaV5LdzfsKkKQ1kXj6eodkwMYSzp0ZZMQPao3va aLZMxHMa9gla2cC88qWRZsfE7TXuRYRQDshJ+1bT7JmYT1tpeXsyB7w/7S6g 3WSiCP16+dr3ebA73zuW5sTEqO83OX5vLAC/th23ae5M5NPZtOEiRwkor3Ti pwUwca1N0s5MtWoQ0183NEXiNoGdVro51cAKz87sDmRiy89LWkLyNVAjtXg2 N4iJskupi10ba+Gc9v04xxAmrsvfVHzlVh2oPxO/axHKxN9Ca9ZCch1s/V6i Y/iSiUeyfg3rDdTB1BXO2d3hTLxc0fpslW49uPk+Vv7xmtQLX2r9W+EGMG+Q 4e16w8TXux3D1XUaQHNdHbvqLRPfDou51t9rAJ54vofx75j4n/R1Sbe2Bpid /nQ6NIqJDZM+1x8zG+HbfgMZn/dM/Khs0XJarhHelr9ovBTDRM++9zR+j0bw 5t0frR9L8tv/gGM0thGuGLc7qsWR+h/lTTSuaYRdIxtENiWQ+Xh3OXXzN4HA zrwp7kQmmkTF5/btaYK/jueKFkkc3LTUamzQBIWckZYdyUw8fGMZv+vTJog+ oaZY+YHsr0EpzfXxTeAb0r8qK4Xsj15rJ46iJrjW49UT+5GJGm+vMhXbm0Bv q+SnF6lMTOPnskn60QR7b5R5eX9iYrvnSQNDejOsy7AyuvmZifwK4j7Sa5ph cWm5lPkXcv2f8Nz2Lc3APpy4oJfGxJd+pqmHdjdD2dNjdSrp5DxKVV9whGZI bJ2MlMsg+3XdQcUsrWbwF/W/KZpJ+m/97b80vWZwsNipyZVF+pdG3Iy2UTMY fWhYt0DibU0FzCdnmkHpt/3EWDbpN9mRWHi2GTbCmvz2HCZ+uFX7vZfEjAdp geW5TLx5br3SIPn9cM2pSxl5TPwXcvJnGRmvSuA/hRiCifslB/Lvk+elnH25 PDifiQ5SroE8R5rhebRip2cBE7/Kf/S0IvN1nuz4YF9IzrcXXmyfXc1wdq+L x4UiUl/EWimrzc2g6iJqoFvMxNTLEpxMvmaQ+JoviSWkfjPeGp1abILlXBf+ ynwl9b93z47Tw00waUCvFi5lYtGN6uIVdU3Q8Crq9coyJkrYCr0w/9IEaQMa dv9IfLaZQ9sspAleSg+pj5Yz8dwTyFlwbAKXmz5r2yqYKKYQ9HfPqSY4zKzM SatiotzcmS1XVzYBl1B2VGY1Wb8gXo367kZo2pHgl1PDxDAVbp9TKY1wXv/R mcI6cn6st9iSptkIEpZ31EvqyX4Ovrfah6cRJu5c3VHWQPoVr+Yx8qEEzu+0 56ubmEh3/M5vadgAmK7YX9fMxAprs3AnvgbgqJSqamwh96+suBhcWQ9BMyvC 274xcWrKc2lcvh6SVaoUBzrIfKR57y6U1oKDQc7m4U4mzhwoHU3hqQVFq8QV Y11MHC3QWeN4sgbK/P2+T/WQ/L2fpBwtrYLe7qN35vuZyF1m8+mmZTnE/lS6 uDTARGqbgISMRxlc45DWpg0xsYvLSlk0uBT+yqxazznCxE2Xjj8vTywBfpfq rNUT5PugxCFUPrgA2gNyIwUmyf4L+/fmnUc+vH2f5Cv0g3zvZO7dJNuYBzLV j01Ep8l+y/5m66qTBZobdP5un2Ni3qH/+Nd9TYE7WTX7VReYeL5UQ39jkj+h WpO3SWORnAezTZw7a8MIzr7kZZpLTNS/fG6zte87ImjZ07ZjVBbqx4hd2sT4 QCQbHXcyZrJQ6WuOMfNcNtH3qzbjxioWmiYNJfx3sIK48NTP6QIXC7tTDc6X F1YSvZJaB/S5WTimr/lA/Eg10WNUmK3Ay0LaWEUyj1wd0ZX1OW+Rn4WYe5LQ PdlItLmEFvttYOHbgx5PFIrbiDrWxbpYKRaeqXk64OnMJk68Fg14uYOFy51l qibZbKJWoUPXT5qFZZ3CvDuO9RM1lgaN12VZeM0tfoEhOkBUVRxu2bubhTtf bjC6RgwSpU92dBQfIONNjrXxT4wQhyRHwtMUyfMPe/y5fWKU+Eq8N41VYuF/ 6xKC8NMoUTwl0v1ImYXJv+e8hm6NEYV6vH16qiycb+hZ1Tg3TuQJ/Brq0WJh +RjNw7nqB2Hya2m0+ggLOSlq/7J5poi55mWTWdosfLl52UPiwBSx47nwbNAx Fh5MO8488niKeLlag6Kly0L5MwcDN+6YJvb+1KHv1SP5uvCzxElvmqhvMGJt PsnCC7VUe1XHaYIz0Hrlgj4Lpzcw9goWThO3eYIEPxqx0PbRwrUAnRmCb+rV +ghjFsou6CmJ3ZghkmtjRB6ZsNBMJ9mdO2CGGHySLX7pDAup8gY5v+pmCP1V bDmh8ywUFN93IVfzJzE1Pr6bZcbCuP0/+X+b/yQeVf3a+5PEo0/L/t51+0kU Plp+sPoiC3+cubvx8pefhNzyXVruFiwcd61qvycwS1SNKB69ZslCua29rcM7 ZgmLco3jp61YuMzTuDlQdZaI8DE22HOVhf+Eb++MuDpLHLC8aCRmzcKR7GV9 8y6zRPNhm9PcNixUD+ZXeB4wS6zkcDcbucZCcYM1y699niViB33NW66zUMOh QjOxeJZQ+xpkUXSDhRf3xySJNs0SXe8jrqTYsjDb9aZSad8s4ewVa/PKjoVH cnU5IqdmCYFLqTd87VnY40nIfFiYJT6q59jfdmBhSW9O78SyOWKYXueke4uF LT9kfsyLzhGe7La7yrdZyMcbOVW5bY4QLWK7SjmyUHh/fmX5rjkiK3LCQ9CJ hbwuA3/mDswRhh6/vZjOLFwjqL50XHWOmDGjPpwhseODHw6tmnPEY5UVft13 WNj6cHDxkc4csXXTmqdVd1lY0ble1+bkHFFMEQ3MvMfCusZ7MndOzRHne7Y+ j3Zh4b7EecsvJnPEP2JXyDNXFloVPO1dbzpHBL9WCnNzI/vJZb9P8tk5Ypfr oQgbd5IPkeVnbM7NETVnT7w18WCh0cFNV41IfEXZJOrwfbKfdyQ3XCe/Z4mY x8h7srBozY+8T2fmiLcLNvGbvFjoNyZzVZw8TyTua6GYNwuVDbqWXzecI8L1 Rb9vfsDCe3rd7ALdOWIdxfGnuA8L/cdq7gkfnSNCEupWSDxkoeFZ2k0PjTlC 4NQ2cUlfFn4JdnaePjhHBNE8lLY+YqHDp+aTV/fMEXzJ7frb/Mh+CFX+PiU1 R/gb77bZ/piFZ5+bLHlsmiO4mH5eUk9YyOLbUyQmMEf4pfS/2vGUhVdMtynX k/VafuZgmrQ/eR/virCn87PEA47gGpkAFr4+Ub7+3OQswfg0OSgbSNZX7Ruv Svcs4XH28JLcMxbmNz8e2Fs7S7h8+SO7+zkLGUp/JcwTZ4n587qa8sFkv/7Z /jUilNTPyvjze16Q/Dkkvf/pNUvcung6QCGUhQc0W8/8PD1LzHJ9jtv3koVa Hz2X3mrMEnZZKwv3h7EwtG6fo53MLGHDmzej+IqsP2+qjvvCT2I0R2DFwQgW dtm8WFHM/klYWl7frPya9I+Ws2d2lv8kzImN+viWhVx8GkrPA34SZ2zuf1F/ T/JX5XeiTPAn0S7YUa0RzcLEmaKH7//MEEbF8oOHYli4a12zQGHrDHFy/aCA VhwLo35EFRU/myGOlGs6Hkti4Q7HpT51+gyxfwuXouEXFlK0y0/Qi6aItLrL J0+lsTC9qSfneMgUIX+XuGqUzkLnMVFNHpspQq7xRrhJJguDF+5Hz/NPEVvd GxfO5rIwkPPz6fbcSUKgMyTfooSFXzt9SlRyx4hjq/I+nvrKwjQ1E9vY82OE 50F25OFSFgp1W/x8SB8jZl5Je0mWszAnKmPk2+FRovpsodZQFdlv1I2SlpXD hGfPWMPlJhb6pA48sSweIKbZygOX2CzMrb1xSudsN7GV37zFoJ+Fw2tz2zsj uoiz6g9LNQZIv5fuPr+xp5OoimqM2zLEQh7/PYM/zTuI2EuW1wZGWeg7Pb71 kFMbcXYo4Lf5DNn/zIqtda2NxPO16cP6P1m4WJE59Wbb//9+1dGmPsvCSbvF /sm7DcSBWIkc8V/kfHONfC+3tZ5YY5Xt1v8fC2OtA/S5t1QTVaP9y8ypHOjQ tIsoci0iBgaNeCxpHHh3Dy1RXKOQWOyrErCmc6A+z6uJJ9wFhNz3z5sdmCRW F637ZJFLPK/0POi5jNwP3tJHnD4TyaV/1HyWk1ivWfGccSpRVmR9xG8FB8b+ sghrUk8h/mbrnwpaxYH5TTyh7LuxxNlEcdsoXhIXBzllUZ4Rt2NDbsfycaDb 6QMje/88IPyjVrokriaxYHzCvigHojB81vfzGhILdYonvXSF7yGWARkC5P6R S8PrNfxgNqjjRc5aDqTE+M9qSwWB5OPiqGIhDjwv4GW3+PY14MN9CWXryO/5 9X7FPogEE6/Ej1XrOXDj3OnzouLvwe9eUF6TMAemrAy4M7EqHt47cZZ8EyG/ /0fTWHY6EfJu3q3sEOVA/2Mffjg9ToYpG/Nv/Zs48IRYnsnSiY+w7Mq3rmEx 8vxcRvecSiqIXT46ML6ZAy3TxAuvb/kEihfyx6bEOfDGyheel/99Av2z8jOz W8j1nJ9zTUWfwcYk9s8fCTI+ZUA+3eULeBtuWJqXJPnb+1/y8h1p8EbPn0nd xoGcXic31lSmQaYOYyVzOwd+01F8Rj2bDg1HHPmWSXHgsKPvuei+dBg/NC64 ageZf9jfbYRxBjDVzovySnNgiKwu+3hRBohA05Y1Mhw41XGl1FQ0ExQUNXcI yZL3+bnlzA+bTDihkLNLWI4D63DHjZUfMsFqt9z+TTvJ/I3DhfL6MsFDNgq2 7OJAOdfAz1zLsiBMSvDQtt0c+OdEQO8ysSz4LOl3VFqeA8uuVNzPkc6C6s2U kzv3cKCRzGFCfkcWDIo6GO/Zy4GOndO/3IWzYGn98Ln9CmQ+Kq4Vn6lZICh4 5vLBfSQfIvv5u79lwi7+OmuV/WS9XscNrn6XCdo86vYaB8h6rdrqa3E+E8xX ZjhpKZLncR52/sGTCS6cO9yOKZH8+ohfLPycAS8Yb7x1D3Jgz2yYyB/tDEih 8D82UCb5DDP5GNeSDuXzD54ZA8l3Xcvhaf106PvzL9QUyfPWbt89+jUN+KfZ 0ZdUSb534NQF7y+gJf/+h7kauR5Xqenc+hlcbl/eZ65O8tW3Wm+r8GcYWRgu v3CIzJ/OEVHinQoiKvF8Fw6Teky4PzQX/xH0Pa+eNtMkz1/aMaxcnAJ5yyfH zx3hQB7bS1LHk5Lg57EPe85pk/tDcmJE3yTA1oAbLmePknjhW6maSxw8W/uT 21SHA/FaQmPOQhRYiv/ZZaJH5jNrahckHgyvLDLvGJ8k171yMlj1/tAQ71xs pE/ih3/bw1K94eDOBYNThqReKW5Ht8VHK/Mp05z0Tcj8bHTC7dRDiOxTKwmd CySfd0amZl9+IqZeVnPoXOTAfUN6NUtWXwiJricnjpmTelh4fPCvcjrhb87b p32Z1INPdn3/f1mEua0AU+sKB3YUL9h8NSwguB5t1FazI/P7tWetl005cSFP vlXBgwMlHnFvPS7bTJzw/l/D5R5NZRqF8aRsySVScneIxKkZlwxJ7amVTJGm FatBTDqrJtZUMtOki9SYcpmSNNUgSk2UlMEIYYsQQul0yu0k3znf52hImhSO znx/Pv+869n7fX7Pu97aT7a/AgYyF+sN7jynlRs3mRjGA6pP+yfwglBCptLI bSO/AeacqXQttH9B4qkcJi+Rz9PNibwx007y9tIfMU4FPNcXut5P3kOuM7P1 Nc8B1o3YFA0F9ZJ1q9BljNetFfVVOe29pArxOdBxHjBNwyrUplRKZUeOKZMu AboG/zzq7tlHDpVDmspsngeXlClb6WtaEH/YYfAK4O89qb179PpJw3eW78ur vP/yA9qTq/qJ6V6YUnINcNitwqUtq58yJ4Pn/ZgLeAVfiCY2M5RUp3ALzgNM tMoZ+HiUoYPJv2z95iZg6vext83yGAowTcuwzef5PZye3j7OkK5ns0B6B3D0 WMTjxHMyUk7fuubxXUCHTdWRe0tlNNgsF1UUArZkJMDOThk1BqnlXSgCXOju xR4xk1OpdUpTfDGgh1rYg0sr5HR90OzN/hLA23tqmyqD5RR3yH2pfymfv7Vr CuZdlNOe1Q3+XvcA+8++HvYullOI1pYoxzLAG4t1HGPa5OSevrcEKgAPDS45 3qXGkl341PMPvJ6jkyzWMGHJ0CH5I3MfUJxx5I+lTiy9K7+xvKYK0NZIezwy hCX3rnyPpmpAbYs5Q0X7WYqbKHTvIJ7H4m0bik7x/xuT0q+6awA35sUKdmew /Pz33WQPeH69M25IClgKCK5ZNlTL77Mk0XOimqXMw/WuY3WA1nUvI561scRk NLuoHgKO2UkGtvey/P21O2s28P0nOJv21yBLUT1iJ/1GQK0LHfuzxlgqU3Z+ afKIf88SLMt81TiaZv7qC5smPt+616oLtTha5yVbKmzm++W29ewWA47ObFMs WdYCOL5oYEOmMUeSo8PClY8B2xpyt9pacmSe9d5xXSvPl3a48y4bjkTVnxw2 tQGefoPqO+w4ypdOLf6uHfBhzD4LE3uORj9PXxz+BNBb8F51mtcelpr2kU95 PyFRvjWLOIpbpbPopw7AiskZT4tsOWoMM7A7+gxwg0p1Ypc1R7pxRrYnxYAH NO4e6zPnKPCK2cKU54C3woy0rRZwdLlGYHNJAlhQVXjeXp8jWZ+d9dUXgLPS TQqUmhwJ1YSCWy/58/1a9bJVLEULnKyKOwGjuIbLBh9YqvjazbKyi++7Ry6h QQqW1MI9Leq7Ab81nBsb08OSzwk0b+sB9P0g8Y/m9y+pXW/aJwV08yufPfMu S+aMv4niFeCCVNHm65dZEqkHGI/2Af7n5qy+JJml0TVhRjMYnrdhJ5nWDpY8 RKL5OjLAIOOLyT/48fmI3z1vvhxQVz0pqcaNJb366Ln2HJ+XKhyJ0mApUH7Q wGkAUJHh3Cn+V05ZM2P1lyt4/i3GzNZ2yEnonaDn+wawOW27YXi6nHwaM2fv e8vzsyLxrbWVnFK4q1oxI4CsZpsyXiUjCeTOOvGO9xt8ytxKKiORz99w/j1g qFh23PhPGR1vqlcv+8jnZ3Nldr2GjB4pmqc/+AR43fFMQGYfQ3O0nqg1jwNm 32sMk5YzlLW+S9U9CWhvJXalCIbkEa8+y5SAJ4ufpUauZkiYLJsamgLcPqi5 M8uYoeh8hXLsM2DDyoTc0JF+qmgZnlSpALO2TIQUN/TT/0hpMb4= "]]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{"DefaultBoundaryStyle" -> Automatic, "ScalingFunctions" -> None}, PlotRange->{{0, 3}, {-1.4802474357834254`, 1.188937558925124}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.640173998720957*^9, 3.640174116941325*^9, {3.640174156754371*^9, 3.64017419834869*^9}, 3.6401742384742327`*^9, 3.640174276552884*^9, 3.6401743192878714`*^9, 3.640174539031765*^9, {3.6401746094438353`*^9, 3.640174632929351*^9}, {3.640174815603756*^9, 3.6401748580601697`*^9}, 3.640174893685677*^9, 3.640174928904882*^9, {3.6401749678741655`*^9, 3.640174994577685*^9}, {3.6401750684380684`*^9, 3.6401750983447285`*^9}, 3.6401751373765125`*^9, 3.6401756193334007`*^9, {3.640175693787552*^9, 3.640175704754489*^9}, {3.6401757584114723`*^9, 3.6401757679428525`*^9}, 3.640852313798317*^9, 3.6408525133321466`*^9, {3.6408525991613626`*^9, 3.640852635661838*^9}, {3.64085424362012*^9, 3.640854260120392*^9}, { 3.640854359480991*^9, 3.6408543762624683`*^9}, 3.640854469498041*^9, 3.640854680625825*^9, 3.640854731407672*^9, 3.6408547945335674`*^9, 3.6408548425028753`*^9, 3.640941315992416*^9, 3.640941523635963*^9}] }, Open ]] }, WindowSize->{944, 481}, WindowMargins->{{0, Automatic}, {Automatic, 0}}, FrontEndVersion->"10.0 for Microsoft Windows (64-bit) (September 9, 2014)", StyleDefinitions->"Default.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[580, 22, 10984, 276, 1402, "Input"], Cell[11567, 300, 69130, 1141, 227, "Output"] }, Open ]] } ] *) (* End of internal cache information *)