(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 13.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 289629, 5106] NotebookOptionsPosition[ 286500, 5052] NotebookOutlinePosition[ 286898, 5068] CellTagsIndexPosition[ 286855, 5065] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", "Input", " ", "*)"}], "\[IndentingNewLine]", RowBox[{"(*", RowBox[{ RowBox[{"kin", " ", "=", " ", "20."}], ";"}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"mass", "=", " ", "939."}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"range", " ", "=", " ", "3"}], ";"}]}]}]], "Input", CellChangeTimes->{{3.8698997367340517`*^9, 3.869899843251645*^9}, { 3.869900162194075*^9, 3.86990022514108*^9}, {3.869900263296324*^9, 3.869900278820773*^9}, {3.869900716799706*^9, 3.869900721797647*^9}, 3.869902565634445*^9, {3.869902624866561*^9, 3.869902626057645*^9}, { 3.869904698619644*^9, 3.8699047019298077`*^9}, 3.870142822697193*^9, { 3.870144764448131*^9, 3.87014476799769*^9}, {3.870144888379427*^9, 3.870144970243932*^9}, {3.870145792817855*^9, 3.8701457939369917`*^9}, { 3.8713910972634153`*^9, 3.871391103619568*^9}, {3.8714518138981028`*^9, 3.871451832796793*^9}, 3.8714523038600388`*^9, {3.87145238207703*^9, 3.871452385670923*^9}, 3.8720846338697147`*^9, 3.8737692337195473`*^9}, CellLabel->"In[2]:=",ExpressionUUID->"502c7901-c122-4614-8b72-a04caf16b1e2"], Cell[BoxData[ RowBox[{ RowBox[{"sps", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Dashing", "[", "None", "]"}], ",", RowBox[{"RGBColor", "[", RowBox[{"0", ",", "0", ",", "0"}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"Dashing", "[", "Large", "]"}], ",", RowBox[{"RGBColor", "[", RowBox[{"1", ",", "0", ",", "0"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Dashing", "[", "Medium", "]"}], ",", RowBox[{"RGBColor", "[", RowBox[{"0", ",", "0", ",", "1"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Dashing", "[", "None", "]"}], ",", RowBox[{"RGBColor", "[", RowBox[{"0", ",", "1", ",", "0"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Dashing", "[", "None", "]"}], ",", RowBox[{"RGBColor", "[", RowBox[{"0", ",", "1", ",", "1"}], "]"}]}], "}"}]}], "}"}]}], ";"}]], "Input", CellChangeTimes->{ 3.871701793434409*^9, {3.872065693342557*^9, 3.872065697733029*^9}, { 3.873782505658546*^9, 3.873782510479516*^9}, {3.8737825663259*^9, 3.873782609908166*^9}}, CellLabel->"In[4]:=",ExpressionUUID->"8acf02de-4007-4da0-99ab-5688c509e7b2"], Cell[BoxData[ RowBox[{ RowBox[{"kOut", "[", "e_", "]"}], " ", ":=", " ", FractionBox[ SqrtBox[ RowBox[{"2", "*", "mass", "*", "e"}]], "197.327"]}]], "Input", CellChangeTimes->{ 3.870144988515087*^9, {3.870145025281687*^9, 3.870145047838258*^9}, { 3.871451965683363*^9, 3.87145196928242*^9}, {3.872063208516612*^9, 3.8720632133894377`*^9}, {3.8744963984725924`*^9, 3.874496399276744*^9}}, CellLabel->"In[5]:=",ExpressionUUID->"e4eb0afd-6ac9-4727-a316-8fe76f4fcecb"], Cell[BoxData[ RowBox[{ RowBox[{"kIn", "[", RowBox[{"e_", ",", "U0_"}], "]"}], " ", ":=", " ", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{"e", "-", " ", "U0"}], ")"}]}]], "197.327"]}]], "Input", CellChangeTimes->{{3.870145798453801*^9, 3.8701458265877657`*^9}, { 3.871451836727564*^9, 3.871451840179946*^9}, {3.8714519734346457`*^9, 3.8714519739887877`*^9}, {3.872063215936698*^9, 3.8720632175080347`*^9}, { 3.8744964016057873`*^9, 3.8744964030518217`*^9}}, CellLabel->"In[6]:=",ExpressionUUID->"8fe4d871-c7e0-46fe-8f61-898f90834b8b"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"ang", " ", "=", " ", "0"}], ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"e", "*", RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", "e"}], "]"}]}], ",", RowBox[{"Sin", "[", RowBox[{"e", "-", RowBox[{"ang", "*", FractionBox["Pi", "2"]}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"e", ",", "0", ",", "50"}], "}"}], ",", RowBox[{"PlotStyle", "->", "sps"}]}], "]"}], "\[IndentingNewLine]"}], "Input", CellChangeTimes->{{3.871880311016982*^9, 3.871880487167283*^9}, { 3.871880536637885*^9, 3.871880597710753*^9}, {3.871880655550522*^9, 3.8718806557964563`*^9}, {3.871880735948984*^9, 3.87188074436497*^9}, { 3.871880952795089*^9, 3.871880972213468*^9}, {3.8718812405705957`*^9, 3.871881250760544*^9}, {3.871881297289236*^9, 3.871881327563302*^9}, { 3.871881376003738*^9, 3.871881499472775*^9}, {3.871881535278989*^9, 3.871881551847143*^9}, {3.872063312874229*^9, 3.872063355689334*^9}, { 3.872063408893736*^9, 3.87206348665994*^9}, {3.872063558997143*^9, 3.872063588644578*^9}, 3.872063625019775*^9, {3.873782464804798*^9, 3.873782490792597*^9}}, CellLabel->"In[7]:=",ExpressionUUID->"221cdf39-c3eb-4a84-8500-19e402ba9a9a"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], LineBox[CompressedData[" 1:eJwkmnk0Vd/7x02JaDDP8zzPs2s/SqFPqahoICKJCA0yJEKEEFJUNJAhpYRK sSNJikSZ53m49x7JTPzOd/3+Ouu91t7neZ732efe1/uuK3XynO0pJgYGhrkN DAz/u0on/nuSKf7KrDfu/69v2JQkvD0S0fkXx31FyWvV5RfZih5ZaGA6Z3bE PQvVavqdZvUoQpHPPEdXThahuvhmq7nTGD0wstnXaIfRV+OId9TTP1B2w3Dm VYEf6JkpT6heURNat2I6vhbahP50uWVdKPiJosM7isz8fqJQYbbBmYctaE1f 1SPWtgXduWNzmrjZhlI4OWfesbah+ltdfuOn+9DUtWEZIaVeFHM37WuKVj/K /673/MuGPqTqgY7qFPWj38p+Enf7+5D/xlvB/gUDqEy5gU+vrh+t7dStnH44 hBTSCz6WeA2iR3w9Nkniwwh7aaT1/hxEFiNRfRr3h5F1kZ3rqP4QiotsYzh3 ZwRZlzo+Dvg3hAQ/Be2g3RxDJxBv33LwCHqfLPMrnmMceSkfk/NpH0FOJ7+7 qd4YR2eFL1cn6YyibEbx616RE+jY73aZxpFRpAVVdRNBU+jOcVP220bj6NdW zyM3FqeQSO8lBnrsOLrcxz2peImKHi7qV3zvHEeVoW4cHn40tGfzz5NslybQ 7oqNNqOnCVTDrxu0kD6JtNZPzvFPE0h283DC2+FJFC95olHGdBrd+HEiOllt Cl04WX7xYM00Ml/3zQt5N4U8mD2+nmX7g9SmGyevrU6h49l8YlF7/qB7jJSd CRQqshj1rSn99QeNr67+e/SOigyjxQUbBWfQouXf1EezVKSq+N1r9PgMOhsw UJqqRkM8ngo8AiMz6Agf04Od6TTEyvHbXUPpL0pdelKz8o2Glp9dK7f0/oui ip4apa3S0CCtx+Xy3F+0UXrM19OejloT4kqTjGaRT/Xa5wfhdFSvYcSef2UW CZ3MSsjLp6PKptHjVVWzqCcnci76Bx0V+6W+7Ngwh7jule4x+ktHT7m3s8xY zyEXKN1czkugjNeE/aaEOXRgx8uOjboECp/bvW7MP4/M9mT0Mp4l0IW0RVu7 o/PooHuuVEEkgTwMnj71ypxHFtU6kQL3CHS83W45YnAevZvb6GtVRKD9gYw2 9+UXENcp7wCTKgJZCBc9KvFcQCdkrA4RTQQyfH987vuLBST0V412spdAqsc3 WY/MLCDvU0H/3Z4gkOS/N/f/6S8iHwHnnKgZAvFmnprmC15EqhwLDjpLBGJD PBbqeBF5i1rRHvwj0Grfxzu7mJdQROIh7s/rBCLCfKacLJcQKpd8lEfqQSlR FBC3hLbXFt6zIte3Vn9NTvyxhDzi11RzFglU7xowmsuzjN7fEMqv/EOgShY5 44/2y6iathR/e5xAxTnNN9vvLaNL1XGhyj0EerorbGC6bxkd08jaE/qD9G9M TY9ddgWZt3XQb2ECJcR0xUh5rKBB25wo9+cEuqZ0o9uocAXN1wkf/XeXQJfq 9TVtp1eQS85Uj/01Anl6DUd46q4iPj/LZwFnCOTImdx27fIqCvleGelkQ/r5 HKnc+7CKahJkDm3RIv20oYW+ZviHYjjcNW5wkf4lWckPx/xDZ8qXeCe+0ZGk 1nzg6vd/6OE3180tOXTE2/ykgZdrDXWJRE7cukJHqzzrF3amryHqX+/2dHk6 mi4prHPsWUMvss9zTyzQ0PCho6KXpNbRG3/DUKEvNPTtTumnp/nr6LfR9QGV EzTUsFmfncWRAdw09/aFke9d83/cdxtDGOD1MRfXCBMqar9Bl0+/zwBziZ5c dWtTaHhDroV6NwPkM7cyKYRNodV/AmEOxxiBX5P7a4HPJGIynd0iE8wI6qc8 PNTkJxFbUNMDWgYjCF+hC/B0TyCe+Zj31zoZ4Q9LLLvwjgmkTF+aLzzCBMTa Efv7a2NIU7U1KiCQCZ7dYRr+kD+G9D2LebenM0Hllu2fTtuNoe2jntpt7UwQ XJzY4/d4FB3p7fJmdGCGL9nbZWY0RlBMY8XwocMsEDhn2lixeRAlcGacl7zE Ar+fXP2plT2AUndfYpq6zQLH2uvNEo0GUFatumTYbxbwjWF+K+nSj8oqs44V HNwAqvvSy0usetDIi/DmNVtWuO24jTmAqRVtT9z5MXcfG2RGpDtmmZWjsN0l +c0+bOA03Mxf61iGKjfIpPy7yQbWZ48eSg8uRsYhDO5239lgRrHr/EmPHKRz 5j3HuhU75HUOeiSEp2DZHVr2h7dvgmRDnscX56vwybUsCHfZBHUiQSW5Q5/w w3dblAvDNoHGLDH87MdnLKpJXWXEm4Cd2MxS9uQr5hPLffzchAOenvf+aXu/ CbMuiNJZ9DjBSF2/+dJaG7YojmvTOMgJzDMbto4Ot+Nr3ssfj57nhHv8y/5d Xzvw2lBbystXnGB/sy1IOrELLzQlGx1X3wxlcg4Hn23ow+MFbFGvFbbA6U+a lU+/DWJ59wCf3l1b4LWgtcU/jSHsJjVqz+6+Bb7rnEvUTBnC/Xc+KZ/I3gKm +76t8x0exh2RoU2bpLZCwYZyJtOGEXxKY3mz1uZtcPMDbtAMGcd7uqJzBMW3 AZci3/HTzeNYN5qPwqCxDYrYTt8dlJ/ALH2aZ3/s3wabwhafJtZP4McJp+u9 U7eBwMWZfvnVSRxrPOdyKGcb3Lfd1zi8Ywr7jV5bMi3bBrJsJ2rf35jCYJap yNm+DQYDbwQ/2krFfbRf1wtEuEBBzn/bd2Yark0/KZ6sygUZaOnKTxMafrFz ujSQwgWi0ryN3/1oOPQBx4jVCS5gzTZTTmujYXfr9BBNXy7Ya+cm6riRjvfO yfMKhnOBQ2VdBYceHYvu3b5j7DEXRJi7X+CJpWOWpR+dja+5QA0vZ7i/ouOp bEf/shou+FBGT7ndSsfN+6fYM39zQecnxS8Plui4fPXyo6hRLnh4aLU6RJjA j/NYjbwXuED90CFTTSMCxx5MbTrIxg0jwgNbyg4R2J9B2sNUiBsii3QpnL4E PlJYtC6jzA1HDk9Pa8YQGBwodzhMuMHQqT9IOpPAiizf1P/+xw2l+iJ2fa8I vO2lQ23ncW6o+SIq5P6JwIvHRh2rvbkhl70vpbSZwP0bL8zlh3LDjS7i1fc+ An95zXjzViI37BWIvFEwSeAXJxJlAx9yA+9AtIPNXwKncYh9cH7FDSFahZFv lggc+qbAzqqaGzLS/e6N/CPwKVfDKY0WbhhCmrbt6wTes7X2msAwNyTyiV1P JLXuezvh9VlumN+xx5SDXC96euDV6AYeGP/58tF/iwRm4Tln3cjPA11hQhwH /hCYWrnaX6rAA5RB5TmRcQK3eMZefmDIAw45h1medxO4nF9wW5Q1D9iLN7Fs +EH6WZ2Te/YoDxhsDJ2UxaSfPjrooBcPlARPNG1+TvopXNVqEsIDR7SUVz7e JfDRWhsfmZs8sE790YKuEdjcv3sDRyYPXDb4So07Q/pXv6DbiXng5fmsqWQt 0r+LUd+rmnjggKnSuwPcBO6T4nHLH+ABuwjhtJFpOn4RqJ5ymZkXvt24uHg7 l47T5D4oO/PywsCS3r03V+k49Kd1taUcL5RPF0W/PUSeL6VTf/gteUFhc7uI 2woNL8ddfN9zmBdKv7//59RIw3n0qKhsd144uFSoH5tFwywlT4W0r/NCbVmZ yhVTGi43Gzff+5kX4nUMC1RcqNjj0SIH729eSL7/eMO6HBXzsbC3dg7zQhRv ZrjoxBT2/ark6cHCB/PnJastPKew/EGv5IgdfCC4Kd77rcMk/lUWfHy3HR9w ijwW2r1tEocLxctzufLB/bn4g7tqJ3B3b2F55jU+eCHxKj5JbQKnnKEPvqvi g2zLC0PExBhmuOqnM4344e3fjcw7xUfwi4Hwf2X7+MGwiy+6sXIYH7NI/nLl BD9MP18/yOc0jMvYXx/juMoPTxnF3WbuDuGzqbMR8pX8QHha3khhGMQd+QG/ jpsKAMPJ+LtTRj24+NeVi18NBWFnVd3n0ZHvOC/K7eSgtSBY67MXj/2ox5n6 /+1bOSoIp1NLPq+9qcOxdwWV1K4IgkzUcChbRA12Pf66O6lKEEr8JTvDuN5i 3uHxHQ67hQCUrI5JqWWjS3/tuMeOCcO6bF6H9/4WdDbbeH39rDDYMRZtjDn4 C508JEUVDBUGeyuVr+r2v5HNG/rn3Q+F4crWuD3t9m1IIfhG4IthYdAoPZr5 wKILtTPh/oveIpC8ZO1h6DSAGl/nNCSEioBL2v47gU0DqMYtvjw3UQTEo3z2 XzQfRK9qj6R2vBIB7WkxwxCJIRQbO2tJmRcBGVZxXmr9MDLhVi5iuSoK981O +n5rH0ONjEe/NiSKwu36qdoIrXHk/OfGUNpDUeid5+NPjhlHkU0TAkrVovCx nKPurtYEakzID9u7QQyu/9iu94L8PncO7cjg5xeDlM/rcPHdJJrxZi/tkxcD pd6416eYppDA3jMTflZi8LddvvtFwhRy5lCyTYsTAwvf/D7HJCqaWXY4e+K+ GPCHpIxMfqOiyMmY64rPxWBc2vp3yAYayv86Xl7eKAbxlqqVWf40ZPpO8HdE nxiwR93QU3pKQ415VsSeaTHI3JKWktdGQzPReTJ9XOIw0+p1I1iXjiID2il5 0uKgZZtdWXeCjvhPszn46YgDN1MX33oMHeUdNvQ3thCHHYT9O5GXdGSyyyOe +ZA4LL04sSjym44a9e4+/X5KHBQ/nbT8t0BHznJ1H29fEodxL2WoECRQJIvi nMJdcTgiNnSgyY5A/LP2W//kicOd4ltHJXwIlDcUrVT+ThzqI75QLa4TyLjl zY6IenEQith3At0nUEP1mOOeLnH4uyCjsfklgZyLBS7zUcVBUPzGeiHJ0zOP LJN7V8UhW1ouQ+wnWe9WQGHuZgkQuMJHOJI8zR+eW+srLgEbnzDyeZM8nefb 1m+kIQEafCrWu0meNnHeuMIEEvCmJoiYJfm3cZ8B3/f9EjD8Iy75LMnHzui0 xm0XCbC4/XroJcnPM+p3rJ38JWBRdOP7KlJHin9xVYiQgKw2R4Escj3/loUr 0ykS8KH4gLg1yef5/+TvvsuWgLvXTEU/kvVMaYeLr5VKAK7SjmSZJOt1X//+ X60ExD1dIfj7yHrfy0Z52yRAL5FVcpGcZ+b9KEPvmATofHZcyasmUNQzfpHc RQmou5uWqPyKQPF7nwi/ZZGE6t+V20IfEOjQzve5opslgTnFsiM7mkDilBbd cD5J+OZIO/PwHIHGdKeqRsQkoaP6wRn/QwR6qcq8b7e8JEzqH80RNSJQoKxI 9wt1Sah3Ftz2SJhA20V1zvAYSMJibVY14zIdcfD+Nx+AJOHYkNsKtNHRLw7X iG5LSbie5SLuUkxHp1eSH+Q4SIJxbpS3zUk6SrWhfgp0loQ6ZtHXgsZ09PHR zsm9HpJg7R/TyrONjgStFvXnAyQhbV/xwNMyGrK4d8Cx/qokGP3IkLGIpiFf ekFEZrQkDIU5LogepqG6VMemXXckYeTbD52bdCqaHSubF86ShFsnzX8ov6Ui SZNtYsRTSfipVuyyLYyKLg9Un7lTJgmi0VKzHzdRkZK6IvP4b0mItV/VF+Wc QofDw5U+9EhC7XZFQ8e6SXTtV+e+pBFJYHs5180cMYk6g27eN5yThIXp9U/J fydQ7JcZvRu8UsD3oVRVq3ocTTlXeCjbSYE3w9VnN4VGkWAJf+LaUSkgmGjm NpUjyGKjb2nzSSkoChEurnIZQfefSzMF+0tB+vUzx9qyh9Ge5eh7325JARPb WIGj6BB6nmLbeLZJCs7llmpLFfahc7VjOkV7pSFLPGiX5faf6CMUeqkeloYD 2fetBE2b0Lb3vk/ynaShd9fzBzfONKKXRUvc2eekoeebjv7czno0c5dj5u4t adj89xbP14kqdMlL4+W139KQ7tOu7Np4FYVsC1A97CgDFibMw+V7mvD3WBO3 llMy8OZXTUWr7U8stoHh/n4fGTjH+vVKuX0zrlyK4fjvqgxscFezT3L8hRmG MibRIxmwFUk/FmjfjiNKK/OURmTAjdm/u2K2D//SiOh/SpMBNYtkt5Bz/Vi2 wFJQdl4GMgIVqvyG+nFNZlO0+EZZuN7NnvnpywBmjRl051GShdvScd9lw4dw 7FFWuX9nZWHL3lAe7Zej2EyTc37igixkuabcmWQbw382cH9pDZEFf2EJHyPn MezwSuzMy3hZ8FYuqYjcNI7l2PSeuxbKQvdnkRTzvRO4vcc4dH+JLFx5OF8h kjGB41/DPsoHWdgGwVTXkQk847TnD/93WZjhOzSnEjCJP5a66tVPyQL75GKW RPQUvhB3hvXNX1m4JjMrT6+dwgou59qerMiC1cHKWLYNVJzAGRx4hUMObn60 /cIVQsXmg2G7PXnkoJqf326phIpn31wXsReRgz8mm6XFqVR8zDW5QlNFDlTi xcS5D9HwFqO7CWI6csAgs6+r8zoNV2/JPLHJRA6+++9ebSmjYcXyfMbh3XKw 8HB71X9cdNydWNTcZCsHISNf2mtM6DjxVOmTiqNyENQYauLqRsfz26p23vGU A66I12ysL+m4YLSWP9JfDnYa3vuxoYWOHT98H/MNkoNmk58ZUrN0vC25+a3j NTmwUA45ac9D4JrT7Td2x8rB6+JbpjmaBA6g9B41SJYDxpzZ4+x7CKzMM6wi myEHLsq3+K6dInDv+MTqtsdyICIf0Lr5CoFvVRIN//LlYOXDjNqzZAJbpM5l Tr6SA2emJ3UOT0neO7Nyru2dHFTUJfjxvSXwM8RoXlMlB0upBtz9XwjsxLeR +9VXOdB6XVD85jeBuac4hx78lIOfXkmB9wYI/Pkjd0lshxwIOhgVxk4R+HKa YFTAgByc/p3/IpLkadWz4ofdJuTALu0J8w2Sp/vNZRUO/CH9PvB8zx2Sj1ME lBcpS3KwO05wdxHJz7toGl+VGeVhW/iGriZSL1frZQiwy8OC0ql/K+T6F3dN vFi45GHaYalBc5nALj7mpn8E5aF70Tbm3CyBeS0sN/dKysOuU43X31IJXCe0 t7deUR7u9N3czjlE4BDCtuiNpjwoS/nbebURWOOzQ1i2oTwkbeLybf1K4MEM pwO3QB4qfAu8bcrJPODrJh1qRWo2EfiVR2DrXZ5/PffLQ6V/w5LHbQKvivjW 2DvIw+FT+d82hxHY9Uuwu5aHPGSJhvDc3EdgN1N5m/lz8iDS9WhkQZfA7q+a 9N4HyMM1yd6mOEECe9yT27AzWh56zn2t0uukY89tTVT2RHl4e0T4wr63dOwV FfSrMU0e4gUT7qan0rHPuR9PHJ7Kg977q5VfLOnYdzgwTuyFPDT3qVq+FKdj vyOy5wdL5QFtFNjf/JeGL+wI3H72szwkZxUKNtyl4SABmYGrw/LAe1KzfrKB ikPiG+osqPLQOG3RM5VGxVcYL79kn5WHAWnjGIoTFYdNfb+awqwAct7aov1j U/g6viSeK60AASlfZqLGJnGMrhTrWWUFUKK++OLzZBLfyP9G09RWgE7/2zmf HSdxfIpkRbm5AqyLX2BobJjAyafrjzU6K8CtwN2DVffGcWr3hR0pHgpwX9Bw Y8p/4/j2AQkVB18FkIj7kTS3NIbvmlxYHriqAJrWV+Su2Y7hzK3i6XOZZD2x AwY7/47ggjd+raI9CkARfkrlWRzEhaqilQPDCtAvdEz5TMogfv6oNucpVQGe Q6DwU7VB/DJO5KLmqgJsEj0oSTgN4LITn3ksRBSBM1rcqMWzD1dtFDrgdUQR dvf0HhM/145Hn6jv7nBRhEjh4faFC22YEyx2WHoqwmOKdY5mYCt2uHxOTyZY EYyL9ymzXvmFifHPQl33FaFfdfix5oUmLFbvP7i7XxFSftWZpjl/xIHx388r n1aCClmFjANmVShTcfDs3XNKEHN1b9rOg59QTc3CKdbLShD/lUNv0OMz2vZP 2mEwRglY1m2ywm9+RbnegaYZBUowz3GqSLm/Cf22kd+wia4Eaa6s9EOt7Wh5 0mQtYF4Jwp2xM1djB5KMPrAwsqYEHGZ9Z5lqOtFZHDJRtVUZmngfq5sXdCNm zZaGQC1l0J8zJ9Q0+pEWV1jaxAVlsN52Rd7r2RAqZ2tT/BKiDO+3NP/Hv2UY bWdQf58dqQz+7LM74s4No4NEV9+JVGUQHYzRfq8+gi41GCi1vlYGrSjDv8kP RtF6TcL71++VYW/7YUHq3CiK+TCy99YnZYh0GZUY3DOG0p+l+O9pUYYN7Bbj ifNj6MMN4n31jDKMO80VuRlOoJ3hu2weLivDQqzXU/4oku8vP+i/wqQC/oP2 k5SmCdR3+r8NRtwq4PPF1rrTZRIx7cq1KdJSgTtm+fDTbwrFUdb6441U4HyJ Z+frV1OIV+/QeU9zFSh2GpKcJKaQnCzzXbkDKqAaePDz9tNUZMV0YuCerwr4 Mr/NNTenoZ9LpecDL6tAiMGIutN5Gjr6h5PVPkwFdjTLGL5+QkNe/eXK3Ekq UMRzwWxljYZm27gqiDsq0O9f8WZciY5Cfnjsa8hSgYbZ7mfMdnSUUMl/IaZI BTJuLWq9zaIjgTJvVvc3KqDz477U3k909PB5zd0dWAUcpYosWUfoSDFHREXq iwoUDN7PGGAh0Kv7/hVrjSrAnP5KrUea5PXUr/u6W1Wg852u1oIZgarjJAff 9ZL9vYiaUTtCoP8iAi7cGVWBTXz63Vf9CPQrqJH1Il0FlMylL02RfOroL5du O68Cu/5GnzpH8v7omRAVzTUV+LxHxHtTEYF8XFoqNrOqgtqKkPd7TKAFB+X9 U5tV4W3GcdfwRgKF7Q8frONThVUbd69jXQRis2q/8FRMFeqT/CutRgl0C2ls jJRTBRfN8NdWBIGEDa6nu6ipglGcMz46T6An6j0qSE8VOmZLL4SuEEhVXrdS lKIKorYska/XCFQiFrd/2UIV0kdfvl8ieZ/CNzjYtkcVBu1Y2Q6QupbT6GLp QVWg1Oudf7dKIBuWpI0px1VBwOuwnA6ZJ9pWRtN93VRhovuk2/9+T3f+S1G1 OasK9G16qcfIPLKZm6Hp1wVVcJI25xEg80q5ZvX5Y1dUoXbxzsXEJgKd3hcp MBilCnpbBV99/kggXp9d7z0SVOGRXcFw+QsCVcWznSDSVEH4q5qDbwbp17N6 pktZqnDB3DlkLIJAIvXxT1dzVcFHs2ZSyotAdeM2uyNeqkJ7esQpqf0EuriR i87+ThU2iu1vG9MmkLR8y62kKlW4JwF2ATwECnG173jQrArEpoXQ5QY6Urom dEW2i/SPM1zsby4dtT7sknw2pApewseeVF6lI83eEx5vZ1Xh5s3W+Q5FOupZ leJE/1TB/UsMobFMQ7Eiw0WfN6hB0ENTuVNfaWjYwWOhmV8NNtjVWQW70NCt AOV7RyTU4MjwvzRXZRoyS6Oa9Suoge1lz0GjP1R0t8X3Os2Q1GZnfn68TEU7 Z7SVL5irwTeWXUxBRmRe3jbXsGytBnM37XZrL06hPTaBfGzH1GDk9+6G4nNT iOFreLb0FTXgSJhWDbWcRM/HdljlR6mBCAtL9rvFCXSUlZWqkaAG/V1WMmJ5 E6hkR6wOJUsNrnFKofOME8ijMrnavkoNPA9v1WHJGkNNr5/0x29QB6XnOf0u ccPoSvOpSJ4t6sCsENDCJT2MlP8oKGbwk3qFa9zuzRCKVC88l6ugDvcOSfUV 9gwiw/yStSprdXj8q+BAvPAAepT5WXThpjrcvBPQZ/a2E90/rtp2KE0dnu93 XZ/71IHuCqfcKslUBx2f7p6JhnaUkObM6l+kDvylyPpbdysKSlghqE3qAH9C TO3Gm5FtqNanQR4NEC78tBoQ9xmxOD0405iuAaIlJ4+EPXqD10VYZNUea8BS Ae/Fc9/e4+UOz964AnL9nMXngL8YTx8ytLN+rwHfpduvOIjX4O69LaY13Rqw koQYaYe+485MFraerZoQM8OQmKHRitv/GZzi5NWEHemfWLmU2/Dv417VJoKa sPtd9Lc/0u24Sbg5JENSExaCHlNebO3EtWlZf+y1NCFdRMqV0tKDXycYdzXb asLvk1JSpkGD+OS9LRvKD2uCZD/+8bRvEHPnDao/OqoJ2WUz//7sGMK+VbHX zp3UhM6gSxzc7MNYdbZTidNfE3blb9VqjRzBXQxFdn8vkvc/vVT4qH8Ex26O uNIZqAlPnj4YlTAZxePyKj/zwjVhp4mtmAR1FGcfCb6885YmcF7d0plGGcd2 7vseq97WhEyLgtVTCeOY6bzMd550TaBMvd+Ce8axc/w3icGHmiC8aUl3NWAC i2KRL6EvNcHK0/mPTMYk/vaNmD5VoglHHkg6fuqdxEHtn4T3vtUEanH35a9S U7j9j5ePyEdNqLBeHV56PIVTZT/wvf2hCT1/atfCb1HxDq0klNWiCeu/zV9S 66h4huJ25nqbJlyiCY89XKPi/facFQf7yHkZxvQ73Gh43bV/1GSInOfrB2P7 2zT8wrdkm8wYWZ+NJ4O7hoY5Y4+7/aFrgvtcjbu+KB2/T9NMaJ/RhD/9obfT d5L894TlLZ7XhI2PPz/W8Kbjug+FHAlrmqA5E8o2VUbHAV/D9C4yaYEs79d/ HB10LN968MRxVi04w5rMYb9Ex5HEarHyFi2IP8vS40ryps5qUzcXtxY8+Koi Jk3y6CBbDusSnxbc3Md8jtmDzAd8gZr9QlowsT/OnvUqgUF679EvYlow+NHk slIqgQl1qcgXUlrAslUo0SuXwJkmc89vy2kBbd+XS9/IvLDX6mtbiJIWbCy+ J29VR/LwwQeMbmpaoEspLO4n88IzFz+V/7S0ILS7579UMi8c9dl5SFtPC+gv p9FJMi+wBwtdFTLSgq+FsUvWZF54G03LY6BoQc4lYPiPzAunU6uax0AL6lPu L7qR/M//6PZqo4UW2HfIZt8h88Hn52fky6y0YF3GaWCQ1BfKKfsf7NGCLYcb n+1aI3Dp0S9MHfu1QKelOseZzAvzy/tLeQ9pQXZEwx0KmRcM73We3n9ECyym R4kesp9AEzfheEctWHIStdhO9lveRfv+xUULKg9E2Xr9IucLDrjK7K4Fuwz1 GY9+JjBFlFEbeWqB5iFNp60lBA79EDsc5KMF0W02WfEPCYyP894p89eCg8pa 0i2xBGb498B65pIWZAZLnx32J7D5A4VVtWAtcAhZU6p2IPA1yqsXZ66Sz+cY j6aPKYE/9Ri75ERowfU1hqBJMQKzhNbwDERrwanLt5WN/tFxdGXbZYckLXD+ OLHZvpQ8L04uKqmpWnAnsNZKJYGON61P9vy4qwVnS5WWu8g8Go/Wtls+0oLG peyAXg46buiLnruWowUp991D9bvJ/BvGlVeZrwU89sm+AQU0nPRRdrN+sRbs YeZXrgYa/un8AvuVaUHEQIF9CxsNczMa+j8vJ/0UzDLtbqTi2+b/tcl+0oKd JzPjRg5ScUa13yOeX1rgJHD3+X7rKdx1csVuX7sWqD32Z0lnnMKizFGscd1a oCW46vnvzSTO3HHXi2lECyZZX8pqSEziJzWVen/mtMC268q7xrZxXFjLUd8o oA3Pjx4MVl4YwTT32yGbRLVBhU0tazhlBKtvlNDYJakNfcs3hEQ1RvArS+3U CkVtuO9x2E3CZRiX1Tk4FRppg9ONbMsdJYMY1+fM3DimDXzjo2zOJr24WLDJ 78oJbajsb7JJPdaDs92Xp31dtaHoobvFWmA3jmXaR9h7acOlZ+HOBa868UHj xSm5YG3wDEhkm9rchifzd49UZWiDcJ6ojtbmH5j3BtG21KEN07CzQ+3wCcTa JmRP69EGOrXLUO7TLbQka9HaP6BNfl/HyE58eYh6P9799WVCGxgndSMirV6i /EXzn7eXtOF44RapMcaPyMwjtV5LSAee3Pjm9+H6D3TG0qjijIMOjDO7rST4 9yK6otDnV8d1wMHc0/XyyT7kv2np+5KzDjCt/tvOpdiPQhredt84owNGd6Zv GHMPoCQ7w9X8IB3Y9n5/7cO2QcSnJ8gyE6oDDRwH5l7sHEIZ/IscxhE6MOLt OHSseAg96XgjUh+nA28iQ+f9o4dR2QkDk8n7OqCtaptaLTGKTMwFdmg/0oHi j4X5M+Gj6KP0wu6gHB0o6DPRvD44ir6OlB3d9EIHShnlWD9kjqFuL/0gZawD PzkPlOUxTSCXvfzX/D/pwC/GFk8j+wk0qj5/o/yLDnwvOvd4KX8CEX9K03c3 6UAa/yX2P9Yk71/We+c5oANoxEJL/PwUij7CV1U8ogMx0fTk+LdTiNNkrm55 QgeaMmZb11amEN9aSXvsjA7kiJR3dIVQUUZfan/zvA7sqvZ3opRTkXjVhXHh FR145iVjmzRHRYqRuosFzLrQqdjzYukUDT0/xcvwd6MulJV7c7DdoyFty9mN Jpy6oNtyt3KhgYZMN5UIfOPVheo5i3dn1eioaipFgkdIF+6c5VGZOkJHuxrO KxwT0wWuuFQrSiQd7UvSMZiS04XTqi2J+5vp6JcfD9JR1gXLxgBpznk6crD7 uytYXRdyGph1kgQI1KPbYvNJWxd+Skod69Qn0En+14c5DHQBrVo6jtsRaGwh 2cnORBfih8Zk3/oQ6GyHv/s9pAvN9TdrLUne/1Nu6zO0QxcULDeG3X5AoEv3 tS+pWOnCjvprb7NeEWjlCnfo+T26YDdeyHDqE8n3J2ai3u/Xhfzseu7hZgKx mDffZD6kC7E1Tc0i/QS6IV18+78juuAjd9mGY4pAW1iSH6Q46sIs376KV38J lDzil9PlogtzRV/CtiwTSODLgecy7rrQqL1DVork+/t5WqVenrowdlzYcYLk +boO17osH124GquY50Pq2U1pXS3+uiANdhmVJN9LmtbRNwbowgoIuHYskPnG e5nRNFgXdtbOOOBpcp5MVT7fq7rAG31iyXeMQI9/OClmR+iCy9b6cTqZTxoZ bpm0R5P73a/PGJH5ZVnrkw1nvC6ws1ez2VUSSN51zgWSdEFJ7byFSSGBbFMV Ll5I1YX9rjtH/t4hUOjnIzF5d3Xha0TEgdBwAhXMx93rvq8LFbNrfN0eBGpV qHyx7ZEuCFvOjmyxIRDTkekqixxdeK1KyxDUItCR9wfHC5/rwkbXb+1vp+ko knp9pf+VLhz34W6xI/n+pdi7LXxlurCHqTm1keR7tjAxvSuVuvD5bSPhfZiO dF/ts3pVTfr/rUP+rjIdOQ+GHxup1YVvHGnOz1dp6K3FaPjeH7pQ+OvH85wM ku8vCt4Ob9GFLNuDUYnuNLQtd3deaZsuPHWSHPPTpKHT7EWNYv26cI3tpaNG JRXxNwaI0Kd14V1+muNa1RTavp6vLj2nC9Qo/p+ioVPIR7Pb/PCSLmQK0CIP GU6h2mTwqGTUA5Nf1txKuZPooj17aQK3HgjPdL8e85lAD2NM6qr59eBSUKOq u+gE+v7Ou2teWA+Yt5csK9aNI1nRZsYTMnogvZNtLll4HP3qz7DR0NUDlqmc 64+fjSIG7gYXV0M90O1InKb+N4pUd6xfuGOqB7cq/3k8nxxBETmu99Yt9ODo mcXLz2RGkLan6viPQ3qwKzEyxClyCN36WxHuG6AHc8+O7GHZ2I98mpNcjgfr weE7zZ+6dPrQnleu5lZX9UBsx0bpH/a9iPUcO6NktB5cNLrs/19GNwqZPBj2 I00P6iIcdXg4OpD7wFSoepkeDKzeOz+f+xOZ/hAKoc7qwaSGkN3Cg0dI6AX1 WPuiHrygdR6auJmC5uOxSc2qHtT7tbwon/NBr3afWrnHog/s9Ffr3lfvYfna l0H/8epD33TwL4GYMsxVYRlYoKMP3659OnKwph6PFly85OGvD0y3XS7uVenG h8XWevMu6YNpW+R8lngP/px43XIiSB+2ioeLDm/txdkX7gh6RugDTjc48m+q D580e1fulaoPDQwb5ffXDODml+YyhXf1weKeaNtv3UFsLlMfR72vD2Ihd3y5 swexJFvXce8cfeBabmG/FTqEe3+urvmU6UOa5++hBukRbGMRdbqonNxvdsFS N2YEV5RtbiIq9cHzjvclPuoIvn9P/JHvF31IuNEtqlo0io+egh3+7foghYq5 qVLjuL6t7llxtz74f5rLOBM0jo12H+D9268Pa+m1z1V/jmNBjZMj5yf0Qfpr JpdX4AT+vRgRfXFZH8rpFmpyJZPYwotzunRNH2TPs95UXpvEJT2pDvNMBjA+ xsVstWsKJ1fnKAVwGAAzLp8va5rCTHrqyW+2GoCtIfeLNW4q9sstW17gMYA3 V9qJ3XYkv8d/+XZZ1AB0hP5s7mug4o9r+3TfSRqASnLKdnGSbzT82u8vyRrA 24SB4v0k/2w5POEdpGYAffnZ8VdJPgqt82st1zKAQaPaSxdIfqIZL5ut6BmA Vun5zL2cdPxdgmNbiJkB9Fwxs846RcemySmXP2w3gFbR7itciXT8jEV0YHWX AZhbX7Y7RvK9cEC2NeU/A2BQmWAO6qLj2AnV4iv7DCAjymDac42Ol4+VClfa GcAWwcaHKhIEPtNIiVizN4C9ek8/v6MQuB1qp8yOG4DHLT99nqMEtnptc/Cq swGwm1fN6F0g+Vqu7QN2M4CCMSVpyXgCK9w9IcdwxgDEeU7xNj0icNqm8Zvg bQDqVefMLUoJzHrFdz7MzwAubX5qHVxL4EvEolPVRQMI2NA9d57k+xGX8C+M QQZg9ui8gdoggQ/+YtfcHmoAK73nFJ9SCVyzK/nutWsGZD6K4ugleXvE/X1D 0HUD+GzJ9DeM5HHW6GGm87EGcCpmel6F5HWF3M2GXgkGcDE9oqeX5HmrL/re rskGMFkyH5dO6jNjJx4fSyOfj1gC63EyD8RuvNFml2EA/R1pvvJkXnimUMy5 J9MAsuPcOJdmCPzdssvc4jHZz+G9Jr8mCUw7zRJg+tQALo8+ufK2n8BbYtQK dQsMYCSyyP8pyfcaeYcHVF8YgM2+x+2Z5Lz7667yyxUbwO6wm/GPywjsN573 n1iZAZz4ZRdbnE3gZLbmML5yA7Bkz6D+SCJwseJK6eZKA9hwuZS6EkTgFivZ qQ3VBtD87e6ggSuBZz32Sq59NoC7rZUWUdYEyYeXDs1/NYDFCJ68ETUCH/5a h0d/GsCmhDTH0Wky7038me39bQCNmeO+sT/o+C67iHJbhwHk37q40bqQjjut vVO/DBiAE7dQrLgzHa+cSfuKRwzgu6W9vLEBHYvG4rU3EwYQ8+N3TiB5Hp3q uc7k/TGA/5ZsZnxe0fDg7jLKDUZDSG54fitihIqZvfr8wzcYgvzNTustL6hY No4tL5DdEPh5owR/X6Bi929HuT25DCFyOUtF7t8UnvxvfXS3lCEUtXZHGS5N Yo6ziqI75AxhPNY9lpN8X1XjDxwwUTIE2P2o3sR7Evt8f/JeRcsQDI+pRVd0 TuCZPVZJnOaGYGIZbNL4eBzzePt9ZtlJ9qO0+nJl/zjWvZmxvGplCEpKjWv5 /8bwpQaqG22/IRS8k658YDuGl/feMmp0NoRXT+5wBEyNYMZ9nYOJYYbAOvwx e7BnENdVHpK5EElq85tb8eVBnKT+09UhxhCk3uV/iOAmP++21A1LJhnC3PFp 8d7tAxgaSkdfZRmC6J03EWwafTjsv1uTLZWGMGxutXRCtR0zWFnNCPwzBK7n F9ycXKpx3ZtP2qsMRhB80uDMwPmPOEkBne9nMQIDi4/RrZsqsORG/dk8TiOw YRbi5tpTiqFWZt5I1AhejyV7LrHcwWEW60vHTIzAnWYpzXz4HWIwL2N8GGgE PGdcYk1DfqOjFmP17VeMgHV3qfZaYCsqsRRM5bpmBFl18UjjUhvysAmSj4g1 ApdAK4/0Mx3o5zGz/9zvGQHTt5zqfOMe9PhSbapqhRE4mzqER5oMotXABcdT VUZg+3UX11j+IDp8RVEh87MRTCXSl1f5h9CmyNh3WxuNIKeSOVmWNoTO37Lp nekl+0sQEUqNGUEWha0K7xiMYcnaN6Xl4jjKLNr45w+LMRi4fazj+T6OFosN y5XZjeECMwNrhuQEKnyXsec+lzEE3z2v5lIzgfi+OPldlTaGIPebqpT5SeRb n2j8Vt4YFjna6raaTaH6ho/Mf5SN4b3aVNtqxBQK/SWddlLHGCa+2i1wb6Ki 0YHR8p0WZP24FNeiNSqCEYHIUCtjUE6da/mlT0MZ41Z73+wxhtgF3+Q/Z2nI hijoUzxkDKofHDmZWmgob6Yrz+WIMVQNPi+kM9ER0zynf4ajMcim2Z2q0aSj N6s+LJzuxuCwcjxc/DodcTM8bLDwNIbJ/aF/7z+no7PMP9Ou+BjDX7fOe4sk r9eyMjmX+RvDdMndfnWS1yU36SgRl4xBqkTShkLyetBmtxmFYGM4eWXnHSmS 139tu/3e+aox7Gr3ud1hSyB13trI9AhjiEnAVq7eBIoRWNjbHG0MCluN2j9E ESi1rm6oOs4YfJ/eNwzOIFBWYEbg60RjOLj0duu+5yR/Kp/dmp1C9n/c1siA 5NeyLkpO6h1juFSz+kK7gUDV8VtNou4Zg2axSgx0kvxLGWi6mGUM+tawfGKE QJ30Ynf3J8Zgn3HbIYlOoJGsyNXDucbAIRLH+3OOQNP7DydbPiPX/3ezQmqF QKuMioqGRcaQESPKeI3kd7bXSxWKr43BYmtzwR+S13ndvtkJvSGfp7xrti+p JfkeTLC/NwbxK4/n1kh+V6n1ubpcaQzez67W3F8kkH4A8E1VGwPzFMuh//0f aLsi97OuWrKfWVt2tkkC2XQMwfd6cj7Oey6tfSQ/x5a2fmg0hkcUgdXSFgK5 mUSffd5sDFnVDLdzPxPIl+rAlNlqDB3pkayFpQQKeaB8N6HTGN7sKbOqeUL6 a7OqdrXXGAqHw/z+JJL+rjd8OjdoDOe50kp0g0h/X2YdcR41Bp3wY66JJ0l/ XfyI/ZPGkOLVSmWyJv3l3hFlTjeG+v23e5LUSD8vjL6UnjeGy2f1ypn+0FGn 3NtdPMvkeahksJ38QUcjrTe6mdeMwdryWd7fQjpaNVRjG9lgAvzLZsoXXEi+ n1x78JvdBLZSGScIQzriudekU7vZBMTStiWkbaEj5X/nT+TymcBEQC7Vp4SG 9F/snLsjZAINeTFiTyNpaPsJgbgYMROQKeSW4bGjoSNV5WVn5Ezg1J17DRmT VOTmH7/nqJIJqCXK1b1/TUW+Mk6Du9VMYEyBc7tEMBXFRDFuUdUzgcdzN268 Z6GiMmurU3QLEyi03Lf1JfMUql4WWum1MoG7aYu03XgSNTybSvqxxwR6l548 2RU4iYY3J354edAEancy5fmNTyCe5t88591MoIRRawNPyTjyPepavRBhAka7 I6PfsoyiLVmT/aYxJrDY9duq/uEIKhzyWw+PJ+eTGS45YDKCxs6GmXLeNgGh exy3er2GkdPVB2WST03A68w3p6r3g2hPdluBdZ0JCJ6FzZtNepEi/b+Ue5ym MDbS8vXSre+oVrvlVf82U3CnxnYVB9cjt4CjTXJ8pnAx4x03p1sdymI4s/ml mCns1pcseKFRg/h5rkfXqJsC69bEDz+83yAWw4/BtP2m8MST/fuAaw4eCNd1 Q7dNgekr2z2KXwuW59+S4JtuCtcHtF1VfX9hz4KxN48emMIwhzpzifdvPNuc wcHy1BR6RoIsrdzaMJss4+u6MlMo3RWol03pwuq1DYy27aawUXzsgYX1AD5/ NFclotsUam54ryS8G8Bv6WGHSvpNwd5Dqu+RIsnnArr5/BOmEC/l94OJeQgf 9MjY37VkCkavquwHcodx0KbTWW4iFJjcO7nU92wM40z4eluCApIHdu+02zCO WXSE/9bKUCBcIOK8pOM4vnmsYZeSKgU2H9UOerlxAj8s1KHTTClgOvvh4war STwCmwUlzClgeL5lMidlEiv/HjXfv5MCfxn9N5/vIXn7X/rt4r0UCM7lFwrz msJfbBgoAU4UCD2gfKXPl4o5hzrc805SIHvx4Efn5yRfB7xO6nCnwBhbGvfk GBV3ZrkPm5yjwJcnmbMs9jQsoQtbvM9TYANeGEqIo2G3OiHDzAAK2Hlue8xV ScP06e9xDGEUqNab+PFXlI51op6WakWS/b+3/rDHmo4vC4X1nYyhgMlWMb9b 5+n4w/Mj7KnxZL8p9zfie3TMuF1H53MSBUYNKyqaq+h4Vyun43wqBXpmTsx/ HSH52nP0ukI6BS4XXDV6vJHksZT0zhuPKHBRP+cd1YLAm37z/PTPIeuNEBkp TgRmEEj4ciyfAqejn00cvUTgeQe2SovnFDjKbmtsTvI0LeNaidorChDF/GY7 HxJ4uHu1gL+UAnHyy9WnigncKR7waP0tBcxzu18/qiZwk/OfO+MfKLA7J0Fw sYnAtY+9En5+pMDepD4+jx4CfxgeiSyvocB/9ALa9BjJl/LOwU/qKJBUNrR2 a5rAeR6dfvHfKVBLPPi8e4HAWQUHPS42kTqJv0t4leR5aqOT0y8K3H3ybo6R 5Od4detDlu0UOFggP7FO6mu+n/7T7KZAwk6dp7ykvlxM2S7UTwEVUaoxkPt9 Zt8YMg1TIJcltfkaeX83fW2NqTEKpJ57VNpN1j96uVDu1xQFFnnKrW3GCXyg XF60giD39xRytZP9W60+5H76l3w+Ip7Pg34S2MxMhD1xgQKZc0sd+p8IrBt2 ez1ghQI+Un5+m18TWLl667zzOgVsu4Y810n/JFliqdbMZrBL3r5z800CC+xi GdLeaAbv972cNgr4H7+HdohwmEFC+eOVyBMEZqlf/MGy1Qwof+6dmt5J4GWO 87U0bjOwZnxRekWZwNN7aR9a+c0gQvJyovpmAvf8HMjPEzeDXImuVcYGOv7F c/zhLWkzcNaIPaVYQMf1h1rTguTNYKvAEGNQFB2XddRH7FE3A/HP8SW5+nRc KLIzSE/bDDjUBq7GkHz9xBH7iuubQfO7zPEH/TScNPDacZpiBlcFlFX8Imj4 uoz6wQ5zM8gnztzWtaXhkFN5u6t3msGzyUcVBhI0fGbivkHqXjPI2xWbxF5C xdv/RHEZOprB+gFHJoOvU9hQh4FNysUM9qakutjFTmH1i0Fr7KfM4CGv7tt6 6ykssuQz1XXWDB58ojV2fJrEswwOn6+GmIGSQG/mVPYEfrpNOfDLPbL/63SG D+JjWH30yCLLQzP49qSVEPs4it+8vxGwPdsMPLfEtI6eGMV17hMXKwrN4MT5 xRd1GSN48kOe/+sKM6DW/LibtDaE1c4onM3qMwPJl7rxuZH9uKRK9kSADII/ Xi3M2dd/YtM7B3tLFBDsl54/wB7ehD+fjXScUUGwL+79t7jZRtwqMHzMWxeB m/DqdbGWerzg/cTBdSeC5LV5uZ9B1dhYWNp232kEuX1SJomHb+Aqf4mdCs8Q 3Dd1fliz9gMtzxFJokUItjZR6pVnm5Bu4MdurtcIpLQVcifGfqK8qy4XVssR nJ0oJ7Z8b0FJ8U+e/KxHwNJhH3w0qg05P1VgCplE8Exip+b+ol6UobS414+O IHB1vaIwvg/9KqxLd59BENB1OXyzbj+yen1G68Aygo/SijeDOQeQYP8hTZ4N AB4ZmbmZLwfROvXOiXFeAC2GJ48vfxxB99XDNgzxA8xI+pe9Fh1Fhr4ez3oE AWJkTxxPDRhF/n8NF5pFAWz/bdDTVBpDo0sdCRWyAB1VWdgkeBxFmFTrvpUn 9y8YXOYk+VrySkFnsSKA1d59xQ4iE+goQ7B8nipA9bbsI/tLJ1Ajq2hlsi5A 0L+yROPWSeRlxeJ2Ux+glSe83k14CrHFUtnJ+ANVP4dOjR6fQts3Vxy6Ygog 1jOY1Nc9hfpsclYCzAA2DcX9t0+YikKSbj7yB4CBEpcK1sMkH/A40U5bAERP ++4wq6Miu0O7Uk7uIvsJMD36huTx6TR1I0crgO/Xa9U8dWhIWXg90nYPgHnt bfC9Q0Nfjo0p77UBqJGod66opSG3Bz+aLPcDWJiurBvM0lCm5ENRykEAtsXl 0gJrOtoSq1WndhjAOSC2ut2Xjq7+rT4v7gCwrHwh1DSNjpxrR+rXjwG41Ty3 u99FR00aAZemHQHGnoY6pK7QkXk6m/TACYAJ2Ymhd0IEkj6rEljtSq6n3Ei+ vp9Ayb8/yL4+BdD7syhE+QyBmJFN05PTpF/B14LnrhLoQl5fcOoZAJWB3waj qQQa5vJTiPICkOFzvbSSS6CDwUwtF70Btst0Cui+I9Dn4ZRQ93MADHMzgol1 JN/ayCnb+wH43gpJ5mgl0NM3Zb8tz5P7yzzf5Q0QiF/KKtzwIsDOuoHeU1ME io7tUFUKIM+PmLnv9r8EWvzr2S4USPqRobJAWSKQh+NqxKZggK78BCGHfwRq r72psRICUHEjNz2J5G1rTYmuqVCA55Osh8dIXZ7+8np3GOnHeLL1cZLXlZm3 azdcA/jiEB1HLBMo42xLT0UkANXjwr5HJO9ztLrdeHEdoC/dZMSPzAMhaF43 KwYgmIPjnQuZF6h50f2JsQASkvZ2fmSeOM4tFB8WD6B9qdnhEZk3GoILDPwS yHkN3WJnyDxiNmIy5JIE8Pqz6OdTLwj0wqYhwTYZIPmlItPqPQKJv3Uy3pEK 8E6g+nBZNIESpaZHdNIA+B0kZ2/7EYghLvyW7F2AW0LuCvePkHw/y03hywA4 8+bmkXpEoH7H7PEN9wFENhzcKi1LoANf9FLnH5Dny09qIpuVQNoZDlNtjwAU +wx5dWrp6DHzZFrdEwDlnV81tj8heds7ePu7HNL/yBLmyFA6mkWZ6Rn5AKPy p1PzNOiobGTI0vEVQPf+nZffhtCQ/L6Lf/e+Juf9mFuW9R8N3XnLmmVWCuDt JDPUIEhDl+OU5iXekeflcRkvxwsqMtY6lz34EcDLcrn1ZM0UKshg2N9SDeDI VPOtM2oKibAkr3yqAWhQTXEq2TmFVltLbHPqAIoO1dy893ESVYQsM3g0AdAC LmXkP5lA80Wj09eaAVjk9xcr2k4gzaHm/ge/AE4M0SZG18ZRtvWzjy3tABwL A6MGduMolv94GBoAWBOZWvk1NooOv6xY558BaHpdG/OodgglDeUTWrMA2Y5f 41iPD6Gv/Gl9e+YBPtqxO/JODyLTKz742jKAoMf0aSveQSS9W+IqnckcTMoi N07s7UfEUNjaZx5zSM6vleES7kCKAt70fj5zEDvaynRIqh2d3H2kd0XAHKRb L4vR5NtQ60utSi1Rc9jaKhF6Qu03+nBl8MoDWXPgzd2nZqT0k8y/Fv8u6JlD ceIjh572KiT138ZVGXtzCLXwmJwJxFj3945m4SPmwFokci2sqArvOhGWx3XM HPZ4sT2ef/gJe55fOrjuZA4V0blGhmFfcMm9qeed7ubwOdyVqVH1B95F/XHi 1iVz+LRSomvO3YYdLnHqx1w2B7ohu9u21TbsyWDNeTXIHLq2Svp5D7fjRN7q t2dDzcEiYrdu+stO3G5awmV13Rx8k8U49fR6sefNu5/WbpuDnYaG+4DfIA4R +J0+d8cc2n0cKznaB3HCIy5faro5BHrusOahDOHXpbGinQ/MoS+s7P8qNvNw qL43gItKSUWiJBIKkaWE1vPO3Jk7t4iiTVFUlC2S0IakpJK1kkpIUSSJQnHK GpWQImTfzcyVr7XQ7/7+PM/MOe95z/ue+3w+z3NvarxYB574df501mMWlBiv eigb0InnHc8xSU1i8lmaNftSUydePji8/NFTFvCTzEdj13dhcqZbRdhzFiz2 tvL53N+FQ3Xs1F2yWLDJfpOHI+rBCdkPJg+/YcH2llNlWWE9OJNd/80qhwWz V12cFdTSg+v2WPrz8lgQPIjkHp/rxSp+3J8qxSyQ4s04Y/awDxvMDnghX8rs p83rDHT0YTIy/7JUGQvkUjnnItX7sXOS0Zqpzyz4ePaorenTfpz5VfP6zxoW uC68YxEbzcdhqh8e//nBAlFju/DCGj529t73XuEnCwxDYgd/zRNglWVBwza/ WJAy0lLeel6AJz2UpPyaWcAuyPEqTBfgupKsVXGtLKi8vOHFtTYBDj3Rcait kwUSZHTVWyTETgXnzor1MOetbrd8mTPD83Iyt9T6mPiBy8v3RwnxcqdnL7h8 FuTGSbc4vxXiiTxWuYOQBe36r2LNW4S4TvpnR9AAC+zDxBzFxGj8yt79X/Ig C7hLU8oCVWnsNPehQf8IC9ZLT4NuGxqTdobmkuMsGL9Yv6aI4c3lWV8cV/9l 6quf6uUQSuOJWfaBZpMs2FP+8+DnRBrXWU/Euv1jQajQ4tjQG2b99MicsGls 6MpOM/j1kcY3p2vVvBRjQ9xeTtTlWibevgJh9Qw2oBI4z2+nMTfVavaQOBs2 J+TMkRYy/CvyW1VWgg0qS/KuDQ4z8SyvbjGUZMPh4YNOYX9pXJu0zGrvPDbs zSzg9E0xfvD39SkfKTYElqr8+j/f3zQ3u3l3ARtKf9Usq2J+d3zUmZy7kA2D lInKQWY+Z/R8YYMcG5p8ZFSTmPWVTRY2TSxmQ/+NquBUARMvNmVMUYENYRPG 3SeY/dUOsmWQIhtk9ooOC38w8cj61bbLmPgKTbdW/z+/mJPUxeVsKEw++l2L yd9ROOtIgiobPLaJ9fQ9YuKx4y4UrmCDn03XKpebTLzbRtEd6mwoiGpRfcn4 1N/eiowZq9hgfMD84ltrGv/Y7PBlpTYbpvZMyIcAEy98spunwwav+RN8dRUa h3RGiTrqsSEtO3j5zWk0Pr5eW/HaGjY4rmyZWdAkxJyQQqMUAzbU985fWJIj xMta91t8NmTDjgfV3fcjhPjH1eCgeRvZ8PGymmrFZiHOaFRO0N3MBn//3Bs6 UkIcopf9bgdi5k8LfO/K8Dynrut3BMGGRIPV626fZfxV21cyk8uGSiuR51c4 AvzHT1b9O48NV2WdrY9KCvBLdY71IlM2SHCd3EZv8fGNcw1exmZs+KuUYZi1 l4+Pf/UIt9rBhr51thPui/iY0cOSe7vY4LNq9q+hsH58o2RKT9mGDYZZ7pte u/RhONmlr3iIDc5mqF5ZjeF7hYo1S+zYQJV/kBf+7MXWJx8YLLRnQ/wPM34B 9OLVSzcZz3JlA0lr7G/8240rTp5BA+fZMO/TrOYd2p04YKkdCHzZsGmlRxJ8 7sCGpRSrz58NyZ6vQ7udOnDs0sVERyAbiu31Wz0S27Fb6Wuy7gaT/2HDHO3Z bVhKcWj7+/ts+LrU9NPjzb9wUWmDWV4sGzT/S950cH8j9vEoNM+NY4Ns8pfd e0434JbSiJ2ZiWzQ1WnS2/LkJ37pob87OZUNcqz7Un7D37HFxxPWYe/Y4Emt ydn2/DOOPNXrZNvI1OtyCb9R6Q5aQp49adnE9OfoUH3M/kcoYfEcH7KFDZxb C+Ti1VJQRp72Ze0ONtx6ePVLulUWqhR3fzjWzwb1Vc87XjoXoHn3R76F/WWD wn6/rK8/KtHtE0H1lyaZ9TvzxGeWViFF1uJWr39seGt7d6XO62qk3bVeaC1G AJGpO18hvAaZ6F2YpTmHgPQHQeZNRnXoapHY5g9LCLiyrNNfbHMzkroTRWQu JaB5tn0JX6IF3XFcsS1JiYBSum7kiFcLejKPtzdEhQDtqPu2NttaUfG+ayet VhEw8/kX1y+dbchUS8HHVJsA1x165/q2tqOayRRfpENAkVipdVtqO+pI+HJ9 xRoCjq5wXG3i1oFEBVJPfq8nYOxGK23b2Ymu4fjUjo0EcLZlLMhEXUg6Ys2r 2s0EzDCRkMyK7kLKRrve57EIECPvnkohuxG6eKc+eCsB/XfZhg3hPajEUqP1 vAkBMupVCXNbe5DZypxut+0EvP53t79Ypxcd/FQ/tHsnATEDvq+yinvReVml +SpWBHjeuhkq19qHvrycvR8dIIBMdzON1OxHSmbDidY2BEyUGZuucu9H+Mrn DXfsCEg87nIhcrQfSalmX848QkBf/s711sZ8ZIsfVVbZE1D5K2+7tjcfiY6d dZB0ImD6YLJclZCPLKIcXmq6ELDga7TbA3UBeqRnMUGeIEAx94qT7UEB4jhq Rlz0IKDpTofi22IBujVD9lesJwEikgtiTUYEqCteROOdF1O/1PU7itSEKKi+ Nm/kLAGCHWOn7M4JUZ1X4ayFFwgIOfuszo/hQw2ZF5b6fgSsMh/ffbZMiM68 iIk1u0jAnK63HDOBEJWbXOl1vkSA89ctauPzaLSk56RB8GUCdv9wj/HRoZFz oI3fkyACLOfP9Sw3odE75a3lhcEEdOoVJPIdaCSZZyDbep2AP2v38n4xvmFj pWw7FUKA5vovD2JuM7w8PCdFIYwAiXRfadUUGk2Fjw4bRxCwF29cezqPRuY6 7bAnioAd/UfehjL8HVdecf3UbaY/xiaCTzbQaMAh90dYNAE6s0ufyHfTiCX2 ZHlaDAH1w9tZQQOM/zwMd/l0n4D8htH0nFEatW+88KYnloDADqnT6RM0Mqg7 Ljoznqk/UWPg/P/vbT13bVd9RIC8kwf+//s636UgGh4TEH9ioaQ24xcrn2u1 2yQRcDa1cf0axi+8ti7SOfeUgG23O0InGJ8p7RQ9E51CQFq+0YXrjO8sDhAW Zj0n4JLc5+jmFho5KtXP+/aCALadd/z4N8ZfcoutBl4SYNXSeqG+iEYSe18m zs0k4ISh16ZLr2h04L/79KrXBLhfMpMZfkij1NCrG6hsAnhvlWz1r9FoQsvz sn0uAVrGS5PXe9Bo+8dDlQHvCDC51nZn/j4axR41UYjLJ+B40G6xrI00okWM HPLeM/nf8+/UUqQRPFB5WV9AQJTNKVuvCSFq/T5OypYy8a4qOIdmCtEaj87w NWUExC6KEzkSIkQB86oazT8x5/tVb8PCo0Kkxkv2uPaVgHEJw20Kc4TIsz0y L6mKgCfj7/Z6NwhQsZ/frOJvzLhwhnfeUwFyyN4T+6+WgBr1liFZEKCnmjPK PVuY/bichMO7+Kh6KeuvaxsBaOYa6U+L+Whi/gXtYx0E9HwKNPJt6EdmI0M3 rXqY+y78eK36QD8aKuiw3DJAwPDGqzoJVB9Seq182WiQgAOPLKo//etFvKfW r/WGCPhtGeBjm9WLYkJrFquOEZCz7uC0Xwq9CKyLfomLcCAtojQ/6Uc3cjIX mT9NlAMWBZX+zy92o0j2JvgjxoGVO7fIc7W6UZdGZgJfnAMxi1f2bznbhW4M PzpWNZ8Ddo9fPhwW70R1Ny/9jlnGgS0lLore3a1INACrRC3nwO2FprVbfFuR 1um/liGqHNioai0zItOKfA+ceu2nzgGOX6zI9k0tSE3jyLmjusz8facsU0R/ IbcP7Bk6iAO7BTMUI4u/o5lD0+Q/HOSAzkfTA+opOWgsPfpmhy0HtOsPDbUd z0L9rrrTZx3hQOs2vT65FS9RZbc1bXaMA5JlGSpgEI9iGt4UN7pxIGDx0Unv afFYp9DVY8yfA7n3XN50souxsv/0HoVLHHCS1bowalOKZTbfs0GXOZAhG19l 412Gx15/pK4Ec2By4mjazcQvuOCZ6rKFERx4XiV+TGuwGu+J+PlJ9xEHPiu0 jR7i12PK3J1l+ZgDxoFH9r1tb8AbJcXfeCVxoL5WM2Txz0asfMUgIS+FA/ud er0j8ppw35lQH5NMDuzK7Tpbta4VNxquFJ54zYGy49EWt5Jb8df/3h2JyOaA bonDCrklbTjTtc/s5zsOZNGjh3XG27CvHXfFsWIOyICGfOOTDuyu1BhzrZQD Nw/oij+b14mPNHhIpZVxmP7cVzTi2Ymp3XF/h75wQLzixzV6UxdesPVvVcAP DsPT/2Kjc7rx9JkRvCd1HKibznl4e2EPHi3QyCurZ/pDInF5o2sPbty0J1mq mQNuxxIoNYVenKT30je2mwNW6ye9pw714ROyv8ff9HJgbe0WHe0Uxj/+6J2u 6ufAtJ8TqZeG+vD7wnTn6QMcSGqTGrh3sR9fSR7oUhzkwN6ixAmL4n5sGqJ3 2GiIA5dkGw8ri/MZv0nf5zTG5FNht5kfyMexGwe+XfrDAVnfFPG293x8VFnP /MEEB9QG1Osa//DxQO8LbqUIF0zKCrKqjgvw6wr6fa8oF1rNVugV3Rfg8690 N4nN4MKxAx+vp1YI8KwLL9YYzuaCU5CGyU5tIa6wo5+bz+GCyIHyjeL7hDiK 1NV0nMuFwu/d6k8uCvF+LbfEgPlcUNmcpK/1VIiVpV4suy/NhUXZG+IiK4S4 a0gYkyXDhSXbpVoafwtx6k8dua+yXLhp/i9gugyNjR+lSYou4cIcOnK404zG U0HCIIWlXOg65vz4niONi1x0xNYpcSEib9YZ9QAaX9t5wtdMmQuVMXE4KJrG OwzTxo+pcCFcIkWYm0pjOQWh50U1LvASp+JxPo0b/60eiFnJhWcyvfeiKmic 0OHqnKnBhR1/OMXGjQxPlz3v+rKKC0GaIatTummskyaw69bmgtJagUT/AI2H Ilb/EtHlwqwd5rmjozTO9Xbdt0SfC833juHKCRr7Wz//tnYtF9wS3xWd/v/3 vSyB2fZ1XKgyfX6vixlLrlxd7mDEhatinptUGT+plnDl+q/nQpiJeonWHxpH 06nv727kwqboN74iQzQ+WMPf+GozF2af76uO76exWo72m8+IC19WWe6RaqVx 3wOXNV0sJh9zqtC0hsbpAanP/xFcuG1U+2dvMY29jvE15EkucHdmTl+bSeNN ptqJayguRItpzm+Oo7Govssy021ceNUwdcLmOo0/yqbG2Jsy/bHw+MMXpxi/ +dMv62fGhRLvTlatFY13NWuFR+/gQm2sptKPzTReUuQsmWHBhQ8h48vTltG4 JTkl6NMuLqzPkLCz+yfET0L6RTv3cOEkp2nhYKMQu3ho+U7t40LW3Jj7h7OF eGxjiqe+DRdYRTGHBMeFOF+5n952iIlf3ygzd4sQB87Qcj5qx4WmP3Ehi6SF WOrrM7s79lxo2CxhNc74s+bhZ2aTrlwYz/o0aF7Hxx8fbEgfdGPO/5xoxup4 Pnb4WS7dc5ILDwv36+w6zseJO/prqk9zoSzrknzw736sjLQPJF/gwkrvlQFj dB/GZ9+9e+DHhRVlLcYXmft58LWpUuRFLtxb1pTnbt+H7612bb1wmQvpO5vk btX0YrmlaccsQ7hAbTO/dCKuB2ft3VJGhXJhzLzqfLJ5D94VWbFqSzgXjKr3 nXad7MbhErRA4xYX6rXV9VJ3dWPJcV3Pqftc+N7er35jsBOL/njp/zSVC+fO P5G+NdCG46XZbbFpXIgRVXaeuNaGYXs1EZXOBZ+ceRyeWhu+UDQ40y+TC088 zNXiLFvxWMbakF3vuOCy0vafomkzFoZm3f33iQuTI167tFAdbtiak7G7nwtX 7PM+iu4pwGzzxH2nBVzYfma+ltXG9/jZrtCpKJoL1YW2/rLoHT57yH5bzX9c WMCf9NQtf4WXnJZus5hg+vPzwmzrsCt4X5yj9I65JOif3NoavxCj9493vXGb T4KMX9z3g48/II0UZBMqTcL5mSLOOrgQjWXJPq2QJaHR2WLVOWEpuvPpA2xX ImG6ZaXFD4VK9GNE3n2bLgnJ81trxzXr0JaJ6XJO+iT47pa3rVL7iZ5MG3gb vJYEjpHFvnbFeuQlWSJeZsTMV9t9xV2iEcmqeDzkAQmtpWLNpp+a0a7t5RWc nSSMVC6OzznRjt5ZZHketSShdPSV5/T6dqS2L25J4G4Sckt0dXuJDjR02Muh 0IqEgu9f7x6W6USRPipTrMMkOH5b+3lbXBeqfnR2NTpFwn+3HE3HnHvRApHX ORtOkyA2K9gNsnuRpfVvrqE3CY8jOvSGRPtQzcLjB1efI2H72MHtNyL7UO3l 3aEKl0gw1UnMnB7fjxa3hSksukyCM1HcodPSj/Zt+Zy0IIiEmFc7vyQo8lH9 CPv97Osk7GibWb4vko8aj+n9Ho0gQfHBSr8YRwFaWuR84b8oEjTFvxWlxQiQ jXLSbPo2CTfEn976XSZATXWKKl0xJNA5O6xGVYRIaZ1VWut9EnZZeddkmgrR ofCoDb9iSWDblvbf8hSilq1zLGsSSHjKPENz8oVI+QnZ/DWRBJ+fX+iRFiGy Ew1w/vSEBLfLF5TNp9Eo4WDeaEkyCRVFZd/xMhq15Y5dKnhGQlXWYn3eJhqp LjKQyk8lIelA08n2PTQ6esrtfk4aU89V2cMRbjRK/PpMIyudhE85V4x3XaFR p1ZXZnoGCVkxl2tW3GP4+upyVmomCQ077AJmptHIocP6S9JrEgZcTOSH82mU BNFWj7JJsCuVDB1gfKDn/rfO2FwSXv2UHRutp5HG+DyPmHfM+RuGBEl0Mby9 e9vUrXzmPBWtQ9VpGj17efla+HsSglev9zcboVHf3A9yIQUkOOi/7P3/97mr nCYSrhaRMDVT52w2w/vOJUa6gSUkvE34O/WH8YFUlVNv/T6S8EDb5CjJjPm+ abxz5Uz/GhlkxTA+od3Q+83rMwmeMpkKY4xvuBqtsPWoIGHSKKXl4G/GdyJt +a6VJMOzdc5fe2gkpO/5OFaTsIlbQ2xropGOae10+xoSzFfMmFdZRSO35AXh tj9IWFEZfdOukEbp080UretIWODvlfwvg/Ef2+Cne+tJMNqjb5MSRyP9vKJ1 lo0kRF0d+2x/g0Ye8iIFZk0k8F5cNtTzotF/VV713DYS+qoWXvtDMP6jk+HA 6iDhtl1g8KQ6jTyvCQY3dZFgH370uZwEjUbYR+cY9JFwfXS8LuKjEBk+fHhH l09C9bn3XeOJQuT9t15VS0jC/rF6NT8/IRp7tXOTyiAJJftjAgU6QiRpbFgh M0TCXo+k3uzpTH+9W2I7Y4QEtY0ur/PrBIgqar/UM07Cu8tVYoHnBMia+ihb /5cEySS9GVu3CZD759SkT5PM/Qw/6Wa5SIDu1pz+lDaNB8/JhDhOKh+l7dtv EyfGg6okbo6+Jx8VNG6hw2fwQDKw+pf7Bj7q6xCXOT2bB8rBETP/+9CPNgzf 3b9RmgfdN9e7u+T1IbMzvnxtGR5k2zpVmPn0ocOTh32VZHnQYjO0Jl6/D12b oZ0wTZ4HGzTsfjx52IsaZPN7S5V5UBhZLp7u2IPOG7b57NLjgdNKQr02pxOF 5ZZIkGt40PXgdGGzTSdK3JJy38iAB4ff9Qc8FulEn0nP90uMeVAzsvmiL7sD Ke6dOasV8UDqxGr5GdltKN971R1Xcx78lPzTodbchP5le2RdOcGDjw0HshzO VqLGmRnXE9x5wGaHWMzpq0C5u37b5XvwYFAk2Ub112fkOeA2b8SLB1mCt22n 8j6iHnXXY/Z+PFg7fk/ivtN7VH37mDwnjAeGX5Km31Fywo89rS9My+DBIlUn Fre5EgcU3LNUzOSBc/uLbon2Kmwr1aC5/jUPrFd3H4vorMZLUq1+uOfyQNp+ Yu3Drhp8s32PbksBDxIk7kriH3XYx2Jna/435nxFPPpGdFvw7riwN/XfeRA1 ayCj8lELXiP8GjJSywOxoUOXAuRasSDYbINOIw/UjkmeNBtrxYc/mEQ+6OCB nJT7i+ep7dhEj+SeH+aBhV58i3h1Fxb5/n2a5ygP9ESnkmI1u/HrM/b5zuM8 uDpzPLPCrxurFAYaHZjkQaThpfpO9R78Z3eh5oYZFOz9rF91xKEXp/+x6NIX p6C5uSHVKKMXOzxsS9CcTcHaEsnwCxO9uLpn2lL5uRRI8FZHbL/Rh5+dg3lj CykwKf746kp0P7ZVriyn5SgYstR09Kjtx3LFh4K6F1MwqSHkpy3k44B5fiK1 Sym4c/Rw8pxrfGz8al5ehRIF4lJuJWoFfCzcG3umRJkCsYBZ/v5jfLw/Pm8w S40C6+UhOYOHBFiK3P7i+UoK0m8cGBUNF+CSvkbnxxoUSKs3mW59L8BrDCY6 orQpEO5e3+ciL8Q9ddfjb+hQMO908BcOIcSxFxQOBupRcNym8h/PWYhnl26o PWVAgeg/EVySxfCWc3mksyEF9j465ZvrhNhTav+OI8YUPBNXXl47JsSrsnol D2ygoFRmpDxsEcN3VmfKLDZR4Pnf9/7jBjS+PTXryrYtFDS9nllsY05j00fR bDZQoKEjmeV6nOFLSuPfejYFXK33Rnf8aJzNf/NWn0OB5aRjV10UjU+E83w0 SQq2qtV46yczfGtYa7CcouDmRtv3D3NoXF/v8HvxNgpMl8hnqJTROMxv5LmU KQUHNAqtc34wfK12xWmWGQV1XX2Cw200nvgoqy6yg4KglN/pSnwaZ7g+bh/d SYHMzcXz+f8xfL9gXRxtSUHZleDQ8nEaK70psu7eTcG0/IO1OZM0rjmwS755 L5PPnOSnOQyvXxPp+P7DioKlySe6y5gxPD4VUXGAgnuz34T2Mf8f2SpmXmJD QdSwP1Zg+D1VGDEn/xAFZ/OLX9ow/H44UuVjlh0FKRmeOJ3Zz2LjjMDnRyj4 k+t6SLadxhWNLNZjewpea55deaOWxoEXqybvH6NgXy5RKltO4w0r7XKjHJn6 FGxd8CqXxgPlA143nCk4H1UzfPQpjZ+4+a8NdKWgVrb7gvZtGlsvlBo458bs J0inRuIijUttdB2dT1GgaTC6QnonjRccOf72wWkKdrx1yZ9cw/jF8fi5ld4U BFpkGoctYPLxkMkwOE9Bxh4oTS8XYraP6fRjvhRc9I4hOY+EOOTC5T13/Sm4 7ht84eoZIVa7OvpnMpCCRd3aNbrLhNg9RG+7XhAFR7rPF94VCvDbCMeHh4OZ /d+VnV3wVoAtHjQQpSFMP7zhLrIxF2D/DHwj7DYFo+v6Vqy15uPPb8aaCqIp qH5w9Oz0JXy8KE9ffziGgvEBR5833/txWumj71YPKQhX0l5TS/bjX41BSqrJ FNwe2fr0jlQf1mh77777GQUOSifWzc/vxZ7d4wVBqUw9HkwN3nLsxZKDzsf4 6RQo3veI68vtwRvEd6Rn5TDrL8qWduF14yuSwaI9bylQWrfbZVFXF66SLti1 JJ/p5+nBP2dd6sLHlxqM+xYw9zN0Z3/Dm058R38xm/pEQT516T+FeR146EDL t/pGCtRrgxR1PVsw2MmvnNtMgeqGoN1Tw834uoOFD2qlwOqRW+y6ac1Y5WTR 0sROCjJX6Oa8kvqFd15JtncVUlB/9WPYpOxPfP9665uHAxR02Rzabr+gDveE LZGoHqRA64vQZ0KyFvvfu5FmOMqsn31iwazJGvw5rljEcZyCUL9T2xMHv+FF T6Ys7v1lng/77t7EXdX4cIrR4y+TFCSmT4mf+FmF09LdR//9o+BqF0u8qLwS /w9ygkaY "]]}, Annotation[#, "Charting`Private`Tag$5602#1"]& ], TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], LineBox[CompressedData[" 1:eJwkmnc41t//x61ENOy99957nJdSaMiHigYpI5FCQ2YKyQghGZUGkZQSKpWD ZJURZWdv932/JZv4vb/X76/39bzOeZ/zOs/zum+P532ROH3B1o2Bjo5ufhMd 3f+ekgn/nj4UfWPaF/v/z3csCmLeHgno0qsTPsLks/Lqq2x5jyw0PJMzN+qe hWrUfc8wexSiyBeeY6unC1FdXKvl/BmMsgysDzbZYVRvGP6BcqYZPW0ceXiN rxm9MOYK1SlsQRuWDCfWQ1vQnx7XrEv5P1DU9a5CU98fKFSQZWj2URva0FX2 iLFtQ/fuWZ8hbnegZHb22Q/MHajhTo/vxJl+NHljREpAoQ/dSkutT9YYQM+/ 67ys3dSPlD3QMa3CAfRL0VcsbaAf+W2+E+SXP4hKFBt5dOoG0Ppu7fKZR8NI Lj2/othrCD3m+W2dKDqCyr3UUvt+DCHz0ch+tfsjyLLQzmVMdxjFRnTQXbg3 ivaWOD7x/zeM+L8E7qLeHkeOiLt/JWgUfUyS+hnHNoG8FI/LnO8cRU6nv7sq R0+gc4JXqxK1xlA2vehNr4hJdPxXp1TT6BjSgMq6ycBplHbCmPWuwQT6ud3z aPTSNBLuu0JHi5lAV/s5p+SvUFDWku7n790TqDzUlc3Dl4r2bv1xmuXKJNr7 ebP12BkCVfFqBy6mTyGNjdPzvDMEkt46Ev9+ZArFiZ9skjKeQbeaT0YlqUyj S6fLLh+qnkGw4ZMX/GEaeTB61J9j+YPUZ5qmbqxNoxPZPCKR+/+g+/Qmu+NN KMh8zKe65OcfNLG29u/xBwrSjxLlb+KfRcsWf1Mez1GQsvx3r7ETs8jTf7Ak RYWKuDzluPhGZ5EDD8OD3elUxMz2y11N4S9KXX5avfqNilZe3Ciz8P6LIguf GaSuUdEQ9fepq/N/0WbJcR9Pexpqj48tSTSYQxeq1r8+uE5DDWoGrM9D5pDQ 6az4vOc0VN4ydqKycg79zomYj2qmoSLflNddm+YRV2bJfoO/NPSMcyfTrNU8 Og0lW8u4CZTxlrDfEj+P7Ha97tqsTaDr83s3DHkXkOn+jD76cwS6lLpka3ds Adm650rkRxDIQ+/ZM6+HC8i8SiuCL5NAJzrtVsKHFlDZ/GYfy0IC2QTQW9+X XUQ73Lz9jSoJZC5Y+LjYcxGdlrI8TLQQSP/jifnvrxaRwF8V6uk+Aimf2GI1 OruIfN0C992dJJD4v3f3/+kuoQt8zjmRswTifug2wxO0hNTYFh20lgnEgrjM VfES8ha2pD74R6C1/op7exiXUXjCYc6vGwQiws5PO1kso51l4o/zSD0kIYz8 Y0ldU5BpSc5vr6pPSmheRmfj1pVzlgjU4OI/lsu1giqjBZ6X/yFQOZOMYYX9 CsLU5bi7EwQqymm93Zm5ggKqYkMVfxPo2Z6wwZn+FXRCLWt/aDPp37iKDqv0 KjLr6KLdwQSKv9VzS8JjFQ3Z5kS6vyTQDYXoXoOCVbRYJ3jsXxqBrjToqtvO rKJTOdO/7W8QyNNrJNxTew3t8LV44X+WQI7sSR03rq6h0O/lEU7WpJ8vkVLm pzVUES91eJsG6ac1NfQt3T8UzeauFs1B+pdoKTty6x86W7bMPfmNhsQ1FgLW vv9DWd9ctrbl0BB369NGbo511C0UMXknhIbWuDYu7U5fR1N/vTvTZWloprig zvH3OnqZfZFzcpGKRg4fE74isYFK/fRDBWqp6Nu9ki/Pnm+gXwY3B5VOUlHj Vl1WJkc6cFE/0B9Gfu5a93GmNQXTQfHxUy7hRhTUGU2TTb9PBwsJnhx169No ZFOuuWovHeQztjPIhU2jtX98YQ7H6YFHnbM+//wUYjCe2yYVRA8qbh4eKrJT iCWw5QE1gx6EQmh8XL2TiGvh1scb3fQwyxTDKrhrEinSlhcKjjIAbf2o/f31 caSu3B7pH8AABfcYRj49H0e6nkXcO9MZoHzbzi9n7MbRzjFPzY5OBgguSvjt +2QMHe3r8aZ3YIT67J1Ss2qj6FbT55HDR5ggcN646fPWIRTPnnFR/AoTdDy9 9kMjexCl7L3CMH2XCU50NpgmGAyirBpV8bBfTOBzi/G9+KkBVFqedTz/0CZQ PpheVmz5G42+ut66bssMdx13MPoztKOdCbsrcg+ywJPwdMcs0zIUtrf4eet5 Fjg90spb41iKyjdJJf+7zQIHzh07nB5UhAyD6dztvrPAmnzPxdMeOUjr7Ee2 DUtWuNc95BF/PRlL79KwP7JzCyTqcz25vFCJT69nwfVTW6BGKLA4d/gLfvRh m2JB2BZQnSNGXjR/xcLqlDV6vAU2E1uZSp/WYx6R3Ccvjdjg2UXvH7b3WzDz ojCNSYcd9FV1W6+sd2DzotgOtUPswDC7afvYSCe+4b1ScewiO2Tyrvj11Hfh 9eGO5Ndv2OHI7Y5AyYQevNiSZHBCdSuUyjgcerGpH0/ks0S+ldsG7l/Uy599 G8Ky7v7n+/ZsgyJ+K/N/asPYVWLMntV9G3zXupCgnjyMB+59UTyZvQ0MD37b 4DkygrsiQlu2SGyH/E1lDMaNo9hNbWWrxtYdEP8JN6oHT+D9PVE5/KI7gFOe 58SZ1gmsHcVjQqe2AwpZzqQNyU5ipn71c802O4A1bOlZQsMkfhJ/psE7ZQfw Xp4dkF2bwjGG86cO5+yAB7YHm0Z2TWPfsRvLxqU7QIblZM3H6GkMpg/l2Tt3 wGBAdNDj7RTcT/15M1+IAxRk/HZ8Z6TimvTToknKHJCJlkN+GFHxq90zJQEm HCAkyd303ZeKQx+wjVqe5IDN2aaKqR1U7G6VHqzuwwEH7FyFHTfT8IF5WW7+ 6xxgX173mU2HhoUP7Nw1/oQDws3cL3HF0DDTcnN301sOUMErGe5vaHg629Gv tJoDPpXSku+203CrzTTrw18c0PVFvvbBMg2XrV19HDnGAY8Pr1UFCxL4SR6z gfciB6gdPmysbkDgmEMpLYdYOGFMcHBb6WEC+9FJehgLcEJEobYJuw+BjxYU bkgpcsLRIzMz6rcIDA4m99iMOEHPaSBQ8iGB5Zm+qf7dxwmlukJ2/W8IvOO1 Q033CU6orhUWcP9C4KXjY45V3pyQw9qfXNJK4IHNl+afh3LCrR7izfd+Ate+ pb99J4ETDvBFROdPEfjVyQTpgEecwD0Y5WD9l8CpbCKfnN9wQohGQcS7ZQKH vsu3s6zihMx038zRfwR2c9GfVmvjhBGkbtu5QeD922tu8I1wQjyPyM0EUmt/ tBPcmOOE+V37jdnI+cJnBt+MbeKC8R+vH+9bIjAT1wWrJl4u6A4TYPvvD4Ep 5WsDJXJcYDykOC80QeA2z5irD/S54GjOEaaXvQQu4+XfEWnFBQ6iLUybmkk/ q3Jyzx3jAr3NoVPSmPTzvBY65MUFJUGTLVtfkn4KVrYbBZPzNRRXK9IIfKzG +rzUbS5YpzS3oRsENvPr3cT2kAsC9eopsWdJ/xoWtbsxF7y5mDWdpEH6dzny e2ULF9gaK3z4j5PA/RJcrs8HucAuXDB1dIaGXwWoJl9l5Ibv0ZeX7ubScKrM J0Vnbm4YWtbJfHeNhkN/WFVZyHBD2Uxh1PvDZH8puP3hteAG+a2dQq6rVLwS e/nj7yPcUPL94z+nJirOo0VGZrtzg/1ygW5MFhUzFT8T0LzJDTWlpUohxlRc ZjphduArN9zW0s9XOkXBHo+X2Lh/cUPS/SebNmQomIeJtb17hBtucj+8Ljw5 jX3qFTw9mHhg/qJ4lbnnNJY95JUUvosH+LbEeb93mMI/S4NO7LXjAXahJwJ7 d0zh6wJxshwuPJA5H3doT80k7u0rKHt4gwdeib2JS1SZxMlnaUMfKnngqcWl YWJyHNNd89WaQbzw/u9mxt2io/jV4PV/pQd5Qb+HJ6qpfAQfN0+qDTnJCzMv Nw7xOI3gUta3x9mu8UIuvajrbNowPpcyFy5bzguEp0V0Mt0Q7nru//OEMR/Q n45Lmzb4jYt+hlyu1+cHy8q6r2Oj33FepOvpISt+2KfLWjTe3IAf6u47uHqM HzxTir+uv6vDMWn8Cioh/CAbORLKEl6NXU687U2s5IcPfuLdYRzvMffIxC6H vQKgr2B5XEIlG135a8c5flwQNqTzurxt2tC5bMONjXOCYEtfuPnWoZ/o9GEJ Cn+oINhbKtWr2v9C1u9oX/c+EoTg7bH7O+07kFxQdMCrEUFQKTn28IF5D+pk wAOXvYXgzrKVh77TIGp6m9MYHyoEzqk29wJaBlG1a1xZboIQiESet7lsNoTe 1BxN6XojBFozIvrBYsMoJmbOwmRBCKSYRbkpDSPIiFOxkOmaMGSanvb51jmO muiP1TcmCENKw3RNuMYEcv4TPZz6SBj6Fnh4k25NoIiWST6FKmHAZWx1aRqT qCn+ediBTSIQ2bxT5xX599w5tCuDl1cEkr5uwOUPU2jWm7WkX1YE5Pti37ox TCO+A2cnfS1F4G+nbO+r+GnkzKZgmxorArt9nvc7JlLQ7IrDuZP3RYAvOHl0 6hsFRUzduin/UgTGJa1+BW+iouf1E2VlTSIQa6FcnuVHRcYf+H+F94vAlsho HYVnVNSUZ0nsnxGBh9tSk/M6qGg2Kk+qn0MU/rR7RQdp01CEf6dJnqQoqNtm l9edpCHeMywOvlqiwM3Qw7Nxi4byjuj7GZqLghlh/0HoNQ0Z7fGIYzwsCsuv Ti4J/aKhJp20Z9/dREH2y2mLf4s05CxTV3H3iihMeCnCZ34CRTDJz8ulicIx keH/WuwIxDtnv/1PniikFd05JnaeQHnDUQplH0ShNryWYn6TQIZt73aFN4gC f/jBk+g+gRqrxh3395D1LkqpbX1NIOcivqs8FFHgFY3eKCB5evaxRVLfmig8 kZTJEPlB7nfHvyB3qxjwhvAQjiRP817PrfERFYPNT+l5vEmezvPpGDBQEwNV HiWrvSRPGzlvXmUAMXhXHUjMkfzbdFCP57uNGIw2xyadI/nYGZ1Ru3tKDMzv vh1+TfLzrOo9Kyc/MVgS3vyxktQRorUucuFikNXhyJdFzufdthgykywG5UX/ iVqRfP78n2zah2wxSL9hLFxB7mdMPVJ0o0QMKio1I5imyP16b37fVyMGcc9W Cd5+cr/vpWPcHWKgl8AsvkSeZ/bjGF3fuBjofnVczasiyJzMK5S7JAa1aakJ im8IFHfgqeB7JnGo+lW+I/QBgQ7v/pgrvFUcGJMturKjCCRq0qZ9nUccvjtS zz66QKBx7enKURFx6K56cNbvMIFeKzMe3CsrDhTdYznCBgQKkBbqfaUqDt+c +Xc8FiTQTmGts1x64rBUk1VFv0JDbNz7FvyROBwbdl2FDhr6yeYS3mshDpFZ p0RPFdHQmdWkBzkO4mCcG+ltfZqGUqwpXwKcxaGeUfgtvyENVTzePXXAQxws /W61c+2gIX7LJd0Ff3G4e7Bo8FkpFZln/ufYcE0c9JszpMyjqMiHlh/+MEoc RsIcF4WPUFFdimPLnnviMPatWes2jYLmxksXBLPE4c5ps2bF9xQkbrRDhHgm Dq0qRad2hFHQ1cGqs/dKxUE4SmKuYgsFKajKM078EocY+zVdYfZpdOT6dYVP v8Whdqe8vmPdFLrxs/tg4qg4bH4938sYPoW6A2/f158Xh+WZjS9JfydRTO2s TjS3BPB9KlHWqJpA086fPRTtJMCb7tqL2wJjiL+YN2H9mATMMFDNrMtHkflm n5LW0xJQGCxYVHlqFN1/KckQ5CcB92+ePd6RPYL2r0RlfrsjAQws4/mOwsPo ZbJt07kWCfDJLdGUKOhHF2rGtQoPSMIj0cA9Fjt/oAoo8FI+Igl22fct+Y1b 0I6PPk+fO0nCwJ6XD6LPNqHXhcuc2Rckoe+blu787gY0m8Y2m3ZHErb/vcNV P1mJrnipvb7xSxIGz3cqujRdQ8E7/JWPOErBTiPGkbL9Lfh7jJFrm5sUlP6s /txu+wOLbKK7b3NeCs4z14eU2bfi8uVbbPuuScEmdxX7RMefmG44Ywo9lgIb ofTjAfadOLykPE9hVApcGP16P8/1459q4QPPqFKgYp7kGnxhAEvnW/BLL0hB RoBcpe/wAK5+2BIlulkabvayPvxSO4iZbw25cylIQ6pk7Hfp68M45hizzL9z 0rDtQCiX5usxbKrOvjB5SRoeuSTfm2IZx382cda2B0uDn6DYeQPncezwRuTs 6zhp8FYs/hyxZQLLsOi8dCmQhu6vQslmByZx52/DUJtiaQh5tPBZKGMSx72F gyafpGEHBFFcRifxrNP+P7zfpWGW5/C8kv8Urihx0WmYlgbWqaUssahpfCn2 LPO7v9IQLjUnS6uZxnKnLnQ8XZUGy0PlMSybKDiePSgghE0GEipsazmCKdhs KGyvJ5cMVPLy2i0XU/Dcu5tC9kIyMGu0VVKUQsHHXZI+qyvJgFKciCjnYSre ZpAWL6IlAxuSB3u6b1Jx1baHJ7cYyUCT3961tlIqli97Tj+yVwbmH+2s3MdB w70Jha0ttjIQPFrbWW1EwwluJU8/H5OBoKZQIxdXGl7YUbn7nqcMcIa/ZWF+ TcP5YzW8EX4yYK6f2bypjYYdP30f9wmUgR9GPzIk5mh4R1Lre8cb5Lhi8Gl7 LgJXn+mM3hsjA0VFd4xz1Ansb9J3TC9JBuhz5k6w7iewIteIknSGDLgo3uG5 4UbgvonJtR1PZEBQ1r99awiB75QTjf+ey8C/T7MqL5IIbJ4y/3DqjQw4Mzyt c3hG8t7Z1QsdH2TgU128L897Ar9A9GbVlTKwnKLHOVBLYCeezZxv6mVA821+ 0btfBOacZh9+8IOs1ysxIHOQwF8rOItjumRAwMGgIGaawFdT+SP9B2XgzK/n ryJInlY+J3rEdVIGDqU+ZYwmeXrATFruvz8yoPjfy/33SD5O5lNcMlmWgX2x /HsLSX7eQ1WrV6SXBY7rm3paSL1SpZPBxyoLSwpu/1bJ+a/SjLyYOGRhxmG5 UX2FwKfOmxn/4ZeF3iXbWxfmCMxtbrG1T1wW9rg13XxPIXCdwIG+BnlZSOu/ vZN9mMDBhG3hO3VZUJTws/PqILDaV4ewbH1ZSNzC4dNeT+ChDKf/7oAsfPbJ 97YuI/OAj6tkqKUsfGIRgp95BLba4/nX04Yc92tc9rhL4DUhn2p7B1k44vb8 29YwArvUBrlreMhClnAw1+2DBHY1lrVeuCALQj2PRxe1Cez+pkXno78s3BDv a4nlJ7BHpsym3VFk/RfqK3W6adhzRwuFNUEW3h0VvHTwPQ17RQb+bEqVhTj+ +LT0FBo+f6H5qcMzWdD9eK281oKGfUYCYkVeyUJrv7LFa1Ea9j0qfXGoRBbQ Zj6b1r9UfGlXwM5zX2UhJauAvzGNigP5pAavjcgC92n1hqlGCg6Oa6wzp8hC 84z57+lUCg6hv/qadU4WBiUNb5k4UXDY9PdryYxyIOetKTwwPo1v4iuiuZJy cCW5djZyfArf0pZgPqcoB/KUV7Xnn07h6OffqOqactDtdzfnq+MUjksW/1xm JgfropfomhoncdKZhuNNznJwJ2DvUGXmBE7pvbQr2UMO7vPrb07eN4Hv/iem 5OAjB2KxzYnzy+M4zejSyuA1OdCwCpG5YTuOH24XTZ9/SO4n8p/e7r+jOP+d b7vwbzkwEXxG4VoawgXKwuWDI3IwKHBc8WzyEH75uCbnGUUOCiBA8JnKEH4d K3RZfU0OtggfEiecBnHpya9c5kLywBYlatDm2Y8rNwv853VUHvb97jsueqET jz1V3dt1Sh4iBUc6Fy91YHYw32XhKQ9PTaxy1APascPVCzpSQfJgVHRQkTnk JyYmvgr03JeHQeWRJ+qXWrBIg9/Q3gF5uPuzzjjVuQIHxH2/qHhGAcqk5TL+ M61ED+WHzqVdUICIawdSdx/6gqqrF92YrypATD2bzpDHV7Tjn6TD0C0FYNyw zrp+ux7legcYZ+QrwDybW6HiQAv6ZS27aQtNAe66MNMOt3eilSmjdf8FBQhz xs4cTV1IPOq/xdF1BWA37T/HUN2NzuHgycrtitDM/UTVLL8XMaq3NQZoKILO vBmhojaANDjCUicvKYLVjhBZrxfDqIylQ742WBE+bWvdx7ttBO2kU/2YHaEI fqxzu2IvjKBDRE//yRRFEB66pflRdRRdadRTaH+rCOqR+n+THoyhjer4j28/ KsL+ziP8lPkxdOvT6IE7XxQh/NSY2ND+cZT+Itlvf5siMLGaTyQsjKNP0cTH qllFmHSaL3TVn0S7r++xfrSiCIsxXs94I0m+v/pgIIRBCXyH7KdMWiZR/5l9 mww4leB8ra1V96kpxLAn17pQQwnSTJ/DD99pFGuyPhBnoAQXiz27376ZRtw6 hy96minBG6dh8SliGslIM6bJ/KcESgGHvu48Q0GWDCcHM32UwIfxfa6ZGRX9 WC65GHBVCUL1RlWdLlLRsT/szPZhSrCrVUr/7VMq8hooU+RMVIJXXJdMV9ep aK6D4zNxTwn6/T6/m1CgoeBmj4ONWUrwfa73BaMdDcWX8166VagE6XeWNN5n 0RBfqTez+zsl0G6+L3HgCw09elmdtgsrgaNEoQXzKA3J5wgpSdQqQf7Q/YxB JgK9ue/3eb1JCRjT36j8liR5PaX+YG+7EnR90NZYNCVQVaz40Ic+Jdj5KnJW 5SiB9oX7X7o3pgRbeHR7r/kS6GdgE/NlmhIomElemSb51NFPJt12QQn2/I1y u0Dy/tjZYCX1dSWo2S/kvaWQQOdPtX3eyqwMKqsC3h8xgRYdFG2mtyrD+4wT LtebCBRmc32ojkcZ1qzdvY73EIjFsvPSMxFlaEj0K7ccI9AdpLY5QkYZTqlf f2tJEEhQ72b6KRVlMIh1xscWCPRU9bcS0lGGzrmSS6GrBFKW1S4XNlEGQVum iLfrBCoWibVZMVeG9LHXH5dJ3jfhGRrq2K8MQ3bMLP+Ruobd4HLJIWUwadC5 +GGNQNZMiZuTTygDn9cRGS0yT3SsjqX7uCrDRO9p1//9nu7810TZ+pwyUHfo pBwn88hWTrqWn5eUwUnSjIuPzCtl6lUXj4coQ+3SvcsJLQQ6czCCbyhSGXS3 87/5WkEg7vN7PnrEK0O2Xf5I2SsCVcaxnCRSlUGgXsXBJ4P060UDw5UsZfAz cw4eDyeQUEPcs7VcZfBWr56S8CJQ3YT13vDXytCdHu4mYUOgy5s5aKwflGGz iE3HuCaBJGXb7iRWKkOGGNj5cxEo2MW+60GrMsxsWQxdaaQhhRsCIdI9yqDP fl3kby4NtT/qEX8xrAxegsefll+jIfW+kx7v55Qh/nb7Qpc8Df1ek2BH/5TB o/YWobZCRTFCI4VfN6lA0CNjGbd6Khpx8Fhs5VUBZrs6y6BTVHTHXzHzqJgK HBv5l+qiSEWmqRTTATkVsLvqOWTwh4LS2nxuUvVVwNb07I+KqxS0e1ZT8ZKZ CjQw7WEINCDz8o75xhUrFZi/bbdXc2ka7bcO4GE5rgKjv/Y2Fl2YRnT117Ml Q1RgS/yMcqjFFHo5vsvyeaQKCDMxZX9YmkTHmJkpavEqMNRjKSWSN4mKd8Vo mWSpQBi7BLpIP4k8ypOq7CtV4OyR7VpMWeOo5e3TgbhNqqD4MmfgVOwICml1 i+DapgpMcv5tHJIjSPGPnHwGryowrnJM2L0bRhGqBRdy5VQh47BEf8HvIaT/ vHi90koVnvzM/y9OcBA9fvhVePG2KiTc8+83fd+N7p9Q7jicqgqFNi4b81+6 UJpg8p3ih6qgdb7392RjJ4pPdWb2K1QF/hJk9a23HQXGrxKUFlUw+xNsbDfR imxDNb4McamBcMGXNf/Yr4jJ6cHZpnQ14Cs+fTTs8Tu8IcQkrfJEDebyuS9f +PYRr3R59sXmqwHPvPlX/78YzxzWt7P6qAYNkp0hDqLVuPdAm3F1rxosJyJ6 6uHvuPshE8vv7epwc5YuIUOtHXf+03Nj51aHXelfmDkUO/CvE15VRvzqYPUh 6tsfyU7cItganCGuDguBT0xebe/GNalZf+w11CFNSMLFpO03fhtv2NNqqw4/ T0tIGAcO4dOZ2zaVHVEHsQHc/Kx/CHPmDak+PqYO2aWz//7sGsY+lTE3LpxW h67AK2ycrCNYea5bgd1PHXY/367RHjGKe+gK7f5eJtc/s1zweGAUx2wND+kO UIcnzx6MiRmN4QlZpR9518l6jWxFxChjOPto0NXdd9SB/dq27lSTCWznfvCJ 8l11yDLPX3OLn8AMF6W+c6Wrg/H0x2349wR2jvsmNvRIHQS2LGuv+U9iYSxU G/paHSw9nf9IZUzhb9+IGbdidTj6QNzxS98UDuz8InjgvTpQi3qv1ktM484/ XueFKtThk9XayPKTaZwi/YnnfbM69PypWb9+h4J3aSSirDZ12Phl9ppSR8Gz Jq5nb3aow2Wq4PijdQq2sWf/fKhfHfbQjet2uVLxhsvAmNEwef76T4b2d6n4 lU/xDqlxdTjGwpXBWU3F7DEnXP/Q1MFtvtpdV5iGP6aqx3fOqsPsQOjd9N0k /z1leo8X1IHlydcnat40XPepgC1+XR3UZ0NZpktp2L8+TOcygwZIcdf/Y+ui Ydn2QydPMGuAB3MSm/0yDUcQa0WK2zTg9jmm3y4kb2qttfRycGrAg3olEUmS R4dYcpiXeTQg4SDjBUYPMh/wBKgPCGjApE2sPfM1AoPkgWO1IhowVGF0VSGF wISqRMQrCQ3YtF0gwSuXwA+N5l/eldEA6sHaK9/IvHDAsr4jWEEDmIsyZS3r SB4+9IDeVUUDtEwKigbIvPDilK/SPg0NuNb7e18KmReOnd99WFNHA2ivZ9Bp Mi+wBglcEzDQgLqCmGUrMi+8j6Lm0ZloQM4VoNtH5oUzKZWt46ABDcn3l1xJ /ud9fHetyVwD7Luks++R+eDry7OypZYasCHlNDhE6ktlJjYP9mvAtiNNL/as E7jkWC1Dlw1ZT1tVjjOZFxZWbEq4D2vA0/DGeyZkXtDP7D5jc1QDzGfGiN9k PQFGroJxjhqw7CRsvpOst6yH+r32lAZ8/i/S1usneb4g/2uM7hpgoa9Lf+wr gU2E6TWRpwZoHFZ32l5M4NBPMSOB5zUgqsM6K+4RgfEJ7nulfhpwRFFDsi2G wHT/HljNXiHvI0jy3Igfgc0eyK2pBGmAQ/C6QpUDgW+YvHl19poGxB/nUj9v TOAvvw1P5YRrwM11usApEQIzhVZzDUZpgNvVu4oG/2g4qrzjqkOiBpysmNxq X0L2i9MppZQUDUgKqLFUiqfhLRtTv5vTNMC9RGGlh8yjcWh9p8Vj0s/lbP8+ Nhpu7I+av5GjAWn33UN1e8n8G8aRV/5cA7baJ/n451NxYoX0Vt0iDdjDyKtY BVT8w/kV9i3VgOjBfPs2FirmpNf3e1mmAQ/5s4x7myj4rtm+DukvGrD/9MPY 0UMUnFHl+5jrJ3l+vrSXNlbTuOf0qt3BTg3Qf+LHlE4/jYUZI5ljezVAnn/N 89+7KfxwV5oXw6gGDDK/llYTm8JPq8t1/sxrgGNPyIemjglcUMPW0MSnCU+P HQpSXBzFVPe7wVuENUGPRSVrJHkUq24WU9sjrgk/V6IFhNVG8RsLzZTP8pqQ 73HEVezUCC6tc3AqMNAE2+hsi13FQxg35MxGH9cEjYkxFmejPlzE3+IbclIT ngy0WKcc/42z3VdmfFw0IeWRu/l6QC+OYThI2HtpwvEX153z33TjQ4ZL0zJB mnDAP4FlemsHnnq+d7QyQxN6c4W1NLY2Y+5oomO5i6zn5O4ulSMnEXOHgD31 NzlO69GX+XIHLUubtw8MakJE3C3pydpHqK8i7WftpCaETGmHR1i+Rs+XzH7c XdYEwYJtEuP0FcjUI6VBQ0ALBqK/+X662YzOWhh8PuugBd8YXVfj/foQTV7g 65sTWnDJzNPl6ul+5Ldl+fuysxbsWPu3k0N+AAU3vu+NPqsFe+7NRBtyDqJE O/2154FaIPrRpuZRxxDi0eFnmg3Vggq2/+Zf7R5GGbxLbIbhWjDr7Th8vGgY Pe16J9QQqwUvIkIX/KJGUOlJPaOp+1oAyrYpVWJjyMiMb5fmYy3IqSh4Pnt9 DFVILu4NzNGC4n4j9ZtDY6h+tPTYllfk+/QyzJ8ejqNeL91ARawFvez/leYx TKJTB3hv+H3Rgnr6Nk8D+0k0proQXVarBb8KLzxZfj6JiD8l6XtbtCCW9wrr HyuS96/qfPAc1AKLUXMN0YvTKOooT2XRqBaERdGS4t5PI3aj+bqVSS3oyJhr X1+dRjzrxZ0xs1rwQKisqyeYgjL6UwZaF7TgQJWfk0kZBYlWXpoQXNWCt15S tonzFCQfob2Uz6gNw/K/Xy27UdFLN266v5u14U2ZNxtLJhVpWsxtNmLXBsO2 tPLFRioy3lLM941bG2rnzT+cU6GhyulkMS4BbUg+x6U0fZSG9jRelDsuog28 sSmWJhE0dDBRS29aRhtOK7cl2LTS0E9fLqSlqA37mvwl2RdoyMHu754gVW3I a2TUSuQj0G/tNusvmtrQKC5xvFuXQKd53x5h09OGnWsWjhN2BBpfTHKyM9KG 6OFx6ffnCXSuy889E2lDW8PtGguS9/+U2Z4f3qUN0habw+4+INCV+5pXlCy1 YXfDjfdZbwi0GsIZenG/Nvw3UUDn9oXk+5OzkR9ttOFldgPnSCuBmMxabzMe 1obY6pZWoQECRUsW3d13VBsuyFy1Zpsm0DampAfJjtowx3Pw85u/BEoa9c3p OaUN84W1YdtWCMRX+99LKXeyfs1d0hIk39/P0yjx8tSG8ROCjpMkz9d1udRl ndeGsBj5vPOkntuS2tPmpw0SYJdRTvK9uHEdbbO/NqwAn0vXIplvvFfojYO0 wbxm1gHPkOd5qMzjc00buKJOLvuME+hJs5N8drg2OG9vmKCR+aSJ7o5RZxT5 vvvNWQMyv6xofLFmj9OGzaxVLHblBJJ1mT8Fidogq3LR3KiAQLYpcpcvpWiD tcvu0b/3CBT69eitvDTyfsPD/wu9TqD8hdjM3vvaUDa3ztPrQaB2ufJXOx5r A5/F3Og2awIxHJ2pNM/RhtfK1Ax+DQId/XhoouClNrC7fOt8P0NDEZSbqwNv tOHoec42O5LvX4t82MZTqg0WDK0pTSTfs4SJ6ISUa0PV+ybC+wgNab85aPmm ShsivnXJpinSkPPQ9eOjNdpQzZbq/HKNit6bj10/0KwNz342v8zJIPn+Mv/d 623acM/2UGSCOxXtyN2bV9KhDY+cxMd91anoDGthk8iANsSxvHZUK6cg3iZ/ IdqMNhQ9T3Vcr5xGOzeeq0rOa8NoJO8P4dBpdF691+zIMrkeHzXisP40qkkC j3J6HdD6acWpkDuFLtuzlsRz6oDUbO/b8fOT6NEto7oqXh3wDGxSdheeRN8/ ePcsCOrAilnxinzdBJIWbqU/KaUDArtZ5pMEJ9DPgQxrNW0dWJrKufnkxRii 42w85aKvA/JdCTOUfWNIedfGpXvGOnCr/J/Hy6lRFJ7jkrlhrgNnzi5dfSE1 ijQ9lSeaD+uAQUJEsFPEMLrz9/N1H38dYCw4up9p8wA635p46kSQDhjda/3S o9WP9r9xMbO8pgMMuzZLNtv3IeYLrPTiUTpw1OCq376MXhQ8dSisOVUHXoY7 anGxdSH3welQ1VId+LKWeXEh9wcybhYIpszpwKyqgN3ig8dI4BXleOeSDlQQ 3YcnbyejhThsVL2mA/an216VzZ9Hb/a6rWYy6cLS9JsN72uZWLbmdeA+bl04 +ifoJ9+tUszx2SIgX0sXYm58OXqougGP5V++4uGnC6J3T10+oNSLj4is9+Vd 0QX7joiFLNHf+GvCTYvJQF2YFbkuPLK9D2dfusfvGa5L5ku9o/+m+/Fp0w9l Ximkptssa1M9iFtfm0kVpOmCTaZwxy/tIWwm1RBLua8LHMH3fDizh7A4S88J 7xxdEFlpY70TOoz7fqytny/VhSeev4YbJUextXnkmcIyXThoeslC+9Yo/ly6 tYUo1wXHe95XeCij+H6m6GOfWl1Ij+4VVi4cw8fcYJdfpy4ooiJOisQEbuio e1HUqwshX+YzzgZOYIO9/3H/HdCFhfSal8o/JjC/2unRi5O6oFz/kMMrYBL/ WgqPuryiC69p5ioyxVPY3It9pmSdHL/IfFtxfQoX/05xWGDQg5lxDkbLPdM4 qSpHwZ9ND7bgsoXSlmnMoKOa9G67Hjjoc75a56Rg39zSlUUuPSgM6ST22pH8 Hlf77aqwHhgK/Nna30jBFesHtT+I64FGUvJOUZJv1Hw77y9L60FR/GCRDck/ 245Megeq6MHo8+y4ayQfhdb5tpdp6MGEQc2VSyQ/UQ1XTFd19ECl5OLDA+w0 /F2MbUewqR4Mh5haZbnRsHFS8tVPO/WgW7g3hCOBhl8wCQ+u7dEDE6urdsdJ vhf0z7Yy2acHjEqTjIE9NBwzqVwUclAPHkbqzXiu0/DK8RLBcjs94OBveqQk RuCzTSbh6/Z6sE/n2dcPJgTuhJpp0xN64H3HV5frGIEt31ofuuasB2xmlbM6 l0i+lun4hF314MW4gqR4HIHl0k7K0J3VAxEuN+6WxwRO3TJxG7z1QLXygpl5 CYGZQ3wWwnz14OrWZ1ZBNQS+Qiw5VV4m9abe+Ysk34+eul5LH6gHxo8v6qkM EfjQT1b1naF6sN53Qf4ZhcDVe5LSbtzQAwu6SLY+krdH3T82Bt7UgxoLhr9h JI8zR40wXIzRA7dbMwtKJK/L5W7V94rXg0vp4b/7SJ63rNX1dknSg/Hihdh0 Up8dP/nkeKoeKIrEM58g80DM5ugOuww9GOhK9ZEl88ILuSL2/Q/14FmsK/vy LIG/W/SYmT/Rg5UjB4x+ThGYeobJ3/iZHgSMPQ15P0DgbbdUCrTz9WAwotDv Gcn3anlHBpVf6YH1wSedD8nz2tRd45UpIusPux33pJTAvhN5+0RK9eD0T7uY omwCJ7G0hvGU6YE5awalOZHARfKrJVvLyfu7WkJZDSRwm6X09KYqPfj1LW1I z4XAcx4HxNe/6kFKe7l5pBVB8uGVwwv1ejAfzpU3qkLgI/V1eOyHHjDHpzqO zZB5b/LPXN8vPWh7OOET00zDaaxCih1depB95/JmqwIa7rbyTqkd1INjnAIx os40vHo2tR6PkvMt7GUN9WhYOAavv5vUgxvNv3ICyH50auA4m/dHDyyXrWfP v6Hiob2lJtH0+hDT+PJO+CgFM3r1+13fpA9qt7uttr2iYOlYlrwAVn3Yzh3J /+sSBbt/O8bpyaEPoStZSjL/pvHUvo2xvRL6kNveG6m/PIXZzskL75LRh9kY 9xh28vOqHPfff0YK+qC393GDkfcUPv/96UclDX1QPa4S9bl7Es/ut0xkN9MH TYsgo6YnE5jL2/cr0259uK+w9nrVZgJr385YWbPUBzGFpvXn/8bxlUaKK9VG Hx59kCx/YDuOVw7cMWhy1odnT++x+U+PYvqD3UMJYfrAPVKRPfR7CNeVH5a6 FKFP8sLt7fjqEE5U/eHicIsc//D8Uzgn+X23rW5EPFEfJk7MiPbtHMTQWDL2 JksfNlLfhbOo9eOwfXem2sr1odbMcvmkciems7Sc5funD20Fl1ydTlXhundf NNfoDMD0tN7ZwYsVOFEOXRxgMoBPuyqi2rd8xuKbdefy2A2gjUGAk2N/CYYa qQUDYQP4Oprkucx0D4eZbywfNzKAQaqFJOORD4jOrJT+UYABqJ09FWMc/Asd Mx9v6AwxAMm9JZrrAe2o2II/heOGAXysi0NqVzqQh3WgbHiMAQQHWHqkn+1C P46b7nPPNICxhpyq54a/0ZMrNSnKnw3A29jheoTREFoLWHR0qzSAk/V7OMaf D6EjIfJyD78awHICbWWNdxhtiYj5sL3JAIrKGZOkqcPo4h3rvtk+AzgaLySQ cmsUmRe0y32gMwSmvT7JbZcn0MPCzX/+MBkCuFbUcX2fQEtF+mWKrIZwjZGO OUN8EhV8yNh/n8MQItIuqpyqnkQ8tU6+1yQN4ZL7bWWThSnk05Bg+F7WEOjY O+q2m06jhsYKxj+KhlClMt2xFj6NQn9Kpp7WMoTZertFzi0UNDY4VrbbnJwf l+xSuE5BMMoXEWppCFop820/dakoY8LywLv9hnBn0Sfpzzkqsiby++UPG4LG J0d2hjYqypvtyTt11BC+Dr0soDHQEMMCu1+GoyEopdq5VavT0Lu180zs7oZg t3riuuhNGuKke9Ro7mkIhE3o3/svaegc44/UkPOGsOjanblE8noNM4NzqZ8h zBWnDaiSvC6+RUuBuGII0sXi1iYkrwdudZ2VCzIE95Dd9yRIXv+54+5H52uG sLfz/N0uWwKpctdEpIcbQmw8tnTxJtAtvsUDrVGGoLjdoPNTJIFS6uqGq2IN 4eKz+/pBGQTKCsgIeJtA1rf8fvvBlyR/Kp7bnp1sCLInbA30SH4t7THJSbln CP7Va680GwlUFbfdKDKT9KdI6RZ0k/xrMthyOcsQDKxg5eQogbppRe7uTw3h aMZdh0QagUazItaO5BoCi1As9495As3YHEmyeGEIOvtuf5ZYJdAavby8fqEh ZNwSpr9B8jvL2+XP8m8NYc/21vw/JK9zu36zE3hnCMuyLtk+pBbneTDJ+tEQ xEKezK+T/K5Uc/7aSrkhnHtxrfr+EoF0/YFnusoQ6KeZDv/v/4F2ynO+6Kkx hMNztqwsUwSy7hqG7w2GIMWeeaq9n+TnmJL2T02GkG3Ct1bSRiBXo6hzL1sN 4UEV3d3crwTyoTgwPGw3hF/pEcwFJQQKfqCYFt9tCMX7Sy2rn5L+Wq+pXOsz hLyRMN8/CaS/G41fLgwZgg9HarF2IOnv66yjzmOGoHf9uEvCadLfU76EzRTZ T17tFAYr0l/OXZFmNEOotbn7O1GF9PPS2GvJBbKfz+mUMfyhoW6Z93u4Vgxh upzOdqqZhkbbo3sZ1w3B2uJF3t8CGlrTV2EZ3WQEHCumipdOkXw/tf7gF6sR sFDoJwl9GuLKbNGq2WoEEqk74lO30ZDiv4snc3mMYMg/l3K+mIp0X+2evydg BLV5t0SeRVDRzpN8sbdEjEC0gFOKy46KjlaWlZ6VMQLPe5mNGVMU5OoXt/+Y ghHIJsjUfXxLQT5STkN7VYygX459p1gQBd2KpN+mrGMEmfPR0R+ZKKjUytKN Zm4ETywObn/NOI2qVgRW+yyNIDF1iboXT6HGF9OJzfuNYGz56dM9AVNoZGvC p9eHjADvZsjznZhEXK2/uC66kppeYxNX8QTyOeZStRhuBKp7I6LeM42hbVlT A8a3jIDS88uy4dEoKhj23bgeZwS9UiPF/xmNovFzYcbsd41AJpPtTp/XCHK6 9qBU/JkROJ395lT5cQjtz+7It6ozgjUv2LrVqA/J0/YlZ7IbQ/5oW/2VO99R jWbbm4EdxqBEiekpCmpArv7HWmR4jMEg4wMnu2sdyqI7u/W1iDHE6ornv1Kr RrxcN6OqVY0hZlvCp2bvd4hJvyKIamMMmV6s3wddcvDgdW1XdNcYhutYMk18 27As77Z4n3RjyB7UdFH2+Yk988ffPX5gDAzsqozF3r/wXGsGG9MzY1gZDbSw dO3ALNL0b+tKjaF1T4BOtkkPVq1ppLftNAZu0fEH5laD+OKxXKXwXmMoifZe jf8wiN/Twg4XDxiDq4dE/2N5ks/5tJ/zThpDmIRvMwPjMD7kkWHTs2wM5m8q 7QdzR3DgljNZrkIm8PfA1HL/i3GMH0L9XTET4P5v7267TROYSUvwb42UCcTy hV8Ud5zAt4837lFQNgHGY5qBrzdP4kcFWjSqsQnsmftUsclyCo/CVn4xMxNQ udg2lZM8hRV/jZnZ7DaBVXq/rRd/k7z9L/1u0QETiMjlFQjzmsa11nQm/k4m 4P+fYki/DwWzD3e55502gRdLhyqcX5J87f82scvdBGgsqZxT4xTcneU+YnTB BBqfPpxjsqdiMW3Y5n3RBNbLF4fjY6nYtU5A/6G/Cdh77njCUU7FtJnvsXRh JlCrM9n8V5iGtSKflWhEmMCmj1af9lvR8FWBsP7Tt0zAdLuI752LNPzp5VHW lDgTWEi+vxln0jD9Ti2tr4kmMKj/+XNrJQ3vaWd3XEgh9ezJhfpRkq89x27K pZtAUP41gyebSR5LTu+OfmwCV3VzPlDMCbzlF9cPvxwT4BwlMpKdCEzHF197 /LkJeEa9mDx2hcALDizl5i9NwInV1tCM5Glqxo1ilTcmQC3iNd39iMAjvWv5 vCUmEC+7UuVWROBuUf/HG+9NwDy39+3jKgK3OP+5N/HJBPbnxPMvtRC45olX /I8KUif283j8JvCnkdGIsmpS0/KpM+MkX8o6Bz2tM4Hk0uH1OzMEzvPo9o37 bgJ1xIOvexcJnJV/yONyC+lXIm+P4BrJ85QmJ6efJpD29MM8PcnPcapWhy06 TcAuX3Zyg9Q3fL7sU+8l69ut9Yyb1FeLTHYKDJiAqjDFEMj3z8+902cYMYFc ppTWG+T6rrqaatPjJnD3wuOSXnL/Y1cLZH5Om8ASV5mV9QSB/yuTFf5MkP3z u4Cjk6zfcu0R57O/JmAg5Pky8AeBTU2FWBMWTeD+/HKX7hcCa4fd3fBfJf2U 8PXd+pbAilXbF5w3TMCmZ9hzg/RPnCmGYsVoCntk7bu33iYw3x6mYc3NpoAP vp4x8P8fv4d2CbGZQlzZk9WIkwRmalhqZtpuCkZ/Mt1mdhN4he1iDZXTFHbT vyoJUSTwzAHqp3ZeU7gmfjVBdSuBf/8YfJ4nagoFYj1r9I00/JPrxKM7kqbg pBbjJp9Pww2H21MDZU2BjW+YPjCShku7GsL3q5oC/9e44lxdGi4Q2h2oo2kK m1QGr90i+fqpI/YR1TWF9g8PJx4MUHHi4FvHGRNTuMqnqOQbTsU3pVQPdZmZ whPi7F1tWyoOdsvbW7XbFLKnHn/WE6Pis5P39VIOmELhnphE1mIK3vknkkPf 0RQW/3Nk0KufxvpadCwSp0g/klNO2cVMY9XLgeusbqaQxq39vsFqGgstn5/u OWcKuV+oTV1fpvAcncPXa8GmIM7X93A6exI/26EYUJtpClw3aXSfRMex6tjR JaZHplDxtJ0QqRjD7z5G++/MNoVL2261j50cw3Xuk5c/F5jCoYtLr+oyRvHU pzy/t59NYaC6OS1xfRirnJU7l9VvCqqvteNyIwZwcaX0SX8pBK1ebYzZN39g 43uH+orlEGhILvzHer0Ffz0X4TirhCA+9uO32Lkm3M43ctxbG4G84NpNkbYG vOj91MFlN4Jf6wsyPwKrsKGgpO3BMwi+9UgYJRyJxpV+YrvlXiA4Yez8qHq9 Ga3ME4nChQhUWkwaFOdakHZARS/HWwSgKZc7Of4D5V07dWmtDEH0ZBmx7Xsb Sox7+vRHAwKJLvugY5EdyPmZHEPwFIIasd3qNoV9KENh6YAvDUHS2sbngrh+ 9LOgLt19FkFEz9XrW7UHkOXbsxr/rSBolJS/HcQ+iPgHDqtzbQK4mPEw9+Hr IbRBuXdyghvAhO7pk6sVo+i+atimYV6Af+J+pW+Fx5C+j8eL3/wASdInT6T4 jyG/v/qLrcIAjv826agrjKOx5a74z9IAw5VZ2ChoAoUbVWm/lwVYW9S7yk7y tXhIfneRPMB/Bw4WOQhNomN0QbJ5ygDfd2QftSmZRE3MwuVJ2gDh/0oTDNun kJclk+ttXYA+rusNroLTiCWGwkrGH6j7Mew2dmIa7dz6+XCIMYDM76HE/t5p 1G+ds+pvCrBjOHbfQUEKCk68/dgPAKaLT31mPkLyAZcT9Yw5QPyMzy7TOgqy O7wn+fQeABt/42PvSB6fSVU1cLQEaLtZo+KpRUWKghsRtvsBrGrugs89Kqo9 Pq54wBqgQazB+XMNFbk+aG6xsAHYa7y6oTdHRQ/FHwmbHALYtrRSkm9FQ9ti NOpUjgC4+cdUdfrQ0LW/VRdFHQA2FC+FGqfSkHPNaMPGcYCz1S/t7vfQUIua /5UZR7LeZ6EOKas0ZJbOIjl4EoAqPTn8QYBAkueUAqpcAM6YRCfdtCFQ0q9P 0m/dAAZ+FAYrniUQI7JueXoGoDvoRtD8NQJdyusPSjkLoDb4S28shUAjHL5y kV4A0jwuV1ZzCXQoiKHtsjfALqluPu0PBPo6khzqfgGAfn6WP6GO5FtrGUV7 XwC/O8FJbO0Eevau9JfFRQDZUs8PeYME4pWwvK5/GcCybrDPbZpAUTFdygr+ ZPuKmPns/Eugpb+enQIBAFsylBZNlgnk4bgWviUIoOd5vIDDPwJ11txWWw0G wNG56Ykkb1upi/VMhwK8mmI+Mk7qsvTXN3vDACYmkqxOkLyuyLhTs/EGQK1D VCyxQqCMc22/P0cATHpcOviY5H22dtfoVzcBfqcbjfqSeSAYLWhn3QIIZGP7 cIrMC5S8qIGEGABxcXs7XzJPnOAUiAuLA1C/0urwmMwbjUH5er7xAOf1XWNm yTxiOmo0fCoR4M1X4a9urwj0yrox3jYJIPG1PMNaJoFE3zsZ7koBeMdXdaQ0 ikAJEjOjWqkAnA7ic3d9CUQXe/2OdBrZbwLucvePknw/x2nCk0HGzXe3jzYg Ag04Zk9sug/At+nQdklpAv1Xq5Oy8ACgwldiMpuZQJoZDtMdjwGk+vW5tWpo 6AnjVGrdU7Lfd9er7XxK8rZ30M4POQAoopgxIpSG5tDD9IznZD/InknJU6Oh 0tFhC8c3AL9sdl99H0xFsgcv/z3wFkCxIrc0ax8V3XvPnGVaQvaTk9RwIz8V XY1VWBD7QN7vk1JutlcUZKhxIXuoguxfi5X209XTKD+DzqatCuAwQ/W37shp JMSUtPqlmrwP5WSn4t3TaK292DanDiD3cPXtzIop9Dl4hc6jBWDE/0rG86eT aKFwbOZGK/l9IGNTJG87idSHWwce/CTXG6ZOjq1PoGyrFxVtnWT/LQ6O6dlN oBjeE2FoEOCv0PTqz/ExdOT15w3eWYDqtzW3HtcMo8Th54TGHMA9x/pY5hPD qJ43tX//AsBbO1ZH7pkhZBxyHt9YAWD3mDljyT2EJPeKXaMxmIFqacTmyQMD iBgOW//KZQaXn9dIcQh2IXk+b9oAjxnQHWtnOCzRiU7vPdq3ymcGm9qvilBl O1D7a41yDWEz+PtLLPSkyi/0KWQo5IG0GSw+O6hioPCDzL/m/y7pkOslPHb4 3VmJJPZtXpOyN4Nlc4+p2QCMtX/tahU8agbmhUI3wgor8Z6TYXkcx80g2ovl ycKjL9jz4vKhDSczWI3KNdAPq8XFmdMvu93NYOO6C0OTcjPeQ2k+eeeKGfSv FmubcXZghyvsureumgGbAavrjrUO7ElnxX4tkKxnu7iv90gnTuCuen8u1AxO hu/VTn/djTuNizksb5pBTJIIu45OH/a8nfZl/a4ZOKupuQ/6DuFgvl/p8/fM YOy8Yzlb5xCOf8zhQ0k3gwjPXVZcJsP4bUmMcPcDM5gKKy14zDiC134HXy7J MYM2fcUsnv+r2MzDqfq6OC4qKhUVJZFQEhlKNO91p3NPJcpQCUWFhEhCgyEp qWRqkCKkKJJkLrafOUlIyFDm8d57JGOh97x/7uecu75rr7X2fr6f57nHrxsv Op2zLzmBAYdXZcy79qMbrxkeXfPsJZ1PguF49LYeTMx1rgp5zQAlDzPPysEe HKxhreKYwQCOzU5Xe9SH47Kjpk9kMeBI2/mPGSF9OJ3Z9NUshwFLNlwVC2jr w42HjH25eQwIG0bSzy/3Y0UfznfFEgYs5865aPB0AOvM83sjU8aAzx3uF6Fr ABPh+dclPjJALpl9OVxlEDsk6G2aqWRA9aVTVvovB3H6F9Xb3+vofi17aBQd wcMhSv89/1PPgHlbrUOL6njYweNIgex3BuwMih5uXcTHiqsDRi1bGfB2rK2i /QofT7vKS/j8ZABZmONelMrHjaUZG2LaGVB/ffubWx18HHy263hHNwMWERE1 75EAnym8fEmkj66PivWa1Q60n5deel95gAHn/NdUHL0nwGvOvHrD4TGgIEay zeG9AE/lMSpsBQzo034XbdgmwI2S37sChhhwJkTEXkSEwu9sXP4lDjNgz6qk j/5KFD6z8KnO4BgDdknOgl5LChPWuobikwyYutq0qZj2m2syPttv/MuAFu1k d9tgCk+J2fgbTDPArOL7scp4CjdaTEU7/2NAqMDIbiSLjp8anhMyiwk92Sk6 reUUvjtbre6tCBOeHWbfu95A6x0pFNTOYQKzFK7wOinMSTabNyLKhN1xOQsk BbT/FfqlJDWfCYor824Nj9J6xjd364oz4dTosTMhfynckLDa7PAiJhxKL2QP zNB88DfzvKcEE/zLFFv/7+/vGhrcfbSECeWtdatr6Of2z7oTc5cxYZTcp3iM /j17/EpRszQTWj2XKiXQ8RX2LfsxtYIJA3dqApP5tF500oScLBNCprb2nqXz axhmLkVyTFhyWHhUUE/rEU0brVYzwUT2x/2N/99f5Dny6homFCSe+qZG799e IHYyTokJTntF+gae0XrMGK+itUzwsuzZ4HiX1nugF9GlwoT8e21Kb2me+ttf lTZnAxN0zA2vvregcP0u28/r1JkwdWhKJghovdDpXq4GE5wXT/FUFCkc1H1P 2F6LCcnZgWvuzqLw6W3qcrc2McF2Xdvcwh8CzA4q0kvSYUJ9/+JlpTkCvLr9 qFGlLhP2RdX2PgkT4PqbgQGLdjCh6LqyUtUuAU5rUYjT3MWEy765dzQkBDhI K/vDAcSEb7P8C5xoP89u7PkVxmJClM7GLQ8u0fyq7i2ezmFChZnQ6xtsPv7j I6XyjcsEPykHi1PifPxWhW2xXJ8JIpwzzuP3efjO5Wb3rQZ0/eXTdDMO8/Dp L66hZgeY0LnFasplOQ/TeFj62IQJLhvmtY6EDOI7pTNaCpZM0Mhw2ZnpOIDh XI+23HG6/waoSUGZ9veyVZtWWjNpQ/WfjOB7P7Y4F6WzzIYJD+sNeIXQjzeu 2rlVzIkJu6j1R1v+9uKqcxfR0BU6n09iPw+od2O/VdbA92aC1jrXBKjswrpl JGPAlwmP3TKDe8904ehVK1hd/kzIsdFud43vxM5lmUTjHSY8OKGboz6vA0vI jewveMKEd6v0Pz3f1YqLy5oN8qKZsOh34s5jR1uwp2uRYW4MEyYTPpseutCM 28rCDqbH0/Oj8UNr94vv+K2rtmliMhP+wBMJn9Fv2Kj8rEXIByZsJTfl7H1d icPP95+xamECCijltcg/RCuJS+eMfzChY2KkKfLoMxS3YoEn0caE7Q+WSMcq J6G0PPXr6l1MkIi5+TnVLANVi7o8nRik67Xhdddbh0K06MnY15C/dPyjPhlf 6qvRg7MBTdem6fnszhOdW1aD5Bgr2t3/MaHR6tE6jcxapN6zTWAhwgLrdM3F sqF1aJ+Wl5jqAhZURgUY/tBrRDeLRXb9t5IFMau7fUV2/UQSD++x0lexYHCe TSlvfht6aL92b4I8C75RjWMn3dvQi0Xcw0GKLNh274mV5d52VHLk1jmzDSxY 8vqz0+fuDqSvJuupr86Ciwe0Lg/s6UR100neSIMFNSJlFh3Jnagr7vPttZtY cHat/cZ9zl1ImC/x4tc2FswOaqesurvRLRyb3LWDBQZ705akox4kGbbpXcMu Ov6++eIZET1IQc+kII/Bou/TR+eTiF6Erj5sCtzDgt+PmLrNoX2o1Hh9+5V9 LFilUhO3sL0PGazL6XXezwL879FgiUY/OvapacT0IAvihrzfZZT0oytS8osV zVhw5f7dYOn2AfT57byjyJzWT3XWD1cdRPIGo/EWlnR+FVv1N7gMInyjcvtD axYkn3b0Ch8fRBJK2dfTT7JgKP/gNoutPGSFn1XX2LCgsTVvv7oHDwlPXLIV P8OCBcOJ0jUCHjK6Z/tW1ZEF0l8inKNU+OiZltEUcZYFyrk3zlgd4yO2vWrY VVcWdD3skntfwkf350i1RruxYI74kuh9Y3zUEyu0/oM7CzKStx0oVhaggKaG vLFLtP6BifPWlwWo0b1IbJkXC0IvvWr0of3h+qVvjLV9WKBpOGl66aMAXXwT GW1wlQULe96zDfgCVLHvRr/DNRY4f9mtPLmIQiv7zukEXmeBWb1LpKcGhRz8 LX1eBLDAdPFCt4p9FPqgsKeiKJAFvVqF8TxbConn6Ui132bB9ObD3FaaNyzN FKxmgligvu1zVOQD2i+PLkiSDaH1Ur0llZIoNBM6Pro1jI6Pd2y+kEchQ41O OHSPBQcHT74Ppv13TEXV7fMPWGA7MRV4rplCQ7a59SERLNCaV/ZCppdCDJEX a1IiWdA8up8RMETzz9NQx09P6P42j6fmjFOoc4dXVl80CwK6JC6kTlFIp/G0 8NxYFmSy6nQc/v+9rZvJfqVnLJA544r//3+dbxIQAc9ZEHt2mbg6zRfrXqt1 Wiaw4FJyy7ZNNF+471mucfklC/Y+6AqeonmmrFv4YkQSC1Ly9bxu07yzwk9Q lPGaBdekKyN+tlHIXr5p0dc3LGBYe8ROfqX5JbfEbOgti/Yz7V5NxRSaf/ht /MJ0Fjjpuu+89o5C5r+fUBsy6fU1g6WjTymUHHxzO5nNAuK9vJX2LQpNqbld t8llgerWVYnbXCm0v/x4td8HFnBvdTxcfIRC0af2ycbks+BUgKlIxg4KUUJ6 tnkFLPB77NutJkchiFJ821TIgmDL81buUwLU/m2SkCqjz99NWYfgdAHa5Nod uukjCyKXxwidDBIgv0U1LYafWFD3RWv7slMCpMxNdL31hQVj83X3yi4QILfO 8LyEGvq+mPxw2KOZj0p8fMRKvtLrojkeeS/5yDb7UPS/BhZ8VmkbkQI+eqk6 p8KtjQWXHc/BCRMeql3F+OvUQd8fczdJflrBQ1OLvdTtuljQ/slfz7t5EBmM jdw166PniV9+q9Z8EI0UdhnvHmIBf8dNjThyAMlnKlzXG6bn5ZlR7ad//Yj7 0iJTa4QFfcZ+nlYZ/SgyuG6F0gQL3mw5NqtVth+BRXGrqBAbnoWV5SfU96Iz hkKLZwmzgVtY7fv6ai8KZ+6EPyJskD24W4aj1ot61qfH8UTZcHfFusHdl3rQ ndFndjWL2WD6/O3TUdFu1Hj32q/I1WzQKnWU8+htR8J+WPHeGjYELtNv2O3d jtQu/DUOUmKDhpLF0rGl7cjb/Hymjwob9HyihfbvbEPK609ePqXJBsUj542T hFuR83/MORqIDdv4c+TCS76huSOzZP47xoa0Mn1zlaQcNJEacbfLig1vvx8f 6TidgQadNGeLnWSDzV6tAem1b1F1rwVlYMcG6fI0RdCJRZHNWSUtzmy4KHNq 2mNWLNYocnKd8GXD+GPHrG5mCVbwnd0ne40NL6TUvMYty/DSXY8t0XU2CKRi ayw9PuKJzHLyRiAbtk+fSrkb/xkXvlJavSyMDZU1onZqw7X4UNj3T5rP2NAn 2zF+nNeESUMXhvFzNpj4nzzyvrMZ7xAXzXJPYMNog2rQiu8tWOGGTlxeEhsu nOn3CMv7gQcuBnvuS2eDdW7PpZot7bhFd53gbCYb6k9HGN1PbMdffn84GZbN hp2ltmulV3bgdKcBg+8f2FBIjZ/QmOzA3tactXYlbJCH9TItL7qwi3xL5K0y Njwy1xR9tagbn2x2lUj5SNdv8kjxmFs3Jk1j/o58ZoNkVf0tamcPXrLnb41f PRv42v+iI3J68ey5YdwXjWzonM1++mBZHx4vXJ/3sYkN5vPj17Q49eGWnYcS JX6y4ZJdHKks248TtN56R/ey4eS2aY+Z4wP4rNSvyax+Nuxo2K2hnkTzxx+t CzWDbJj3fSr52sgALihKdZg9xIbUDomhx1cH8Y3EoR65YTYcK46fMioZxPpB Wif0RthwW6rlhIIoj+ab1CNnJthwv8p6F8+fh6N3DH299ocNq7yTRDsKePiU gpZh1BQb1IdUGlv+8PBQ/xtOtRAHDnwszKg5zceZVVRBvzAHugzWahU/4eMr 7zR3iszhgKN5+e3kKj4W83qzSXceB5wD1u87qC7AVdbUa8MFHJhjXrFD9IgA 3yM0Ve0XcqD8W6/Ki6sCfFTNOd5vMQfW7UrQVnspwAoSb1Y/keSAbPb2mPAq Ae4ZEURmLOXA6v0SbS2/BDj5u4b0FykOhBn+85u9lMJbn6WIC6/kgAQVPtpt QOGZAEGA7CoO9Nk5PH9sT+FiRw2RLfIcuJ8ndlHFj8K3Dp71NlDgQF1kDA6I oPAB3ZRJO0UO3JufJMhNprC0rMDtqjIH9sTPxOJ8Crf82zgUuY4DyUv7H9+r onBcl5ND+noOGP9hl2xtof30x9c9nzdwIFA1aGNSL4U1UvjWveockN/Mnz84 ROGRsI2tQpocEDtgmDs+TuFcD6cjK7U58POxHa6eorCvxeuvmzdzwCX+Q/GF /3/fy+Ab7N/CgVr914976LX4uo0VtnocuCnitlOJ5pPa+U4c320cCNmnUqr2 h8IRVHLBox0c2BGR5S00QuFjdbwd73ZxYN6VgdrYQQor56hnVSIOVG4wPiTR TuGBKMdNPQwOvDQki/TrKJzql/z6H4vev17Dn8MlFHa3462XITjAOZg+e3M6 hXfqq8dvIjnwUER18c8YCgtrO67W38uBN80zZy1vU7hcKjnSRp8D3GWnn745 T/PNn0EpHwMOFHl0MxrMKGzyUy004gAH6qNV5et3UXhlsYN4mhEH8oMm16Ss pnBbYlLAJxMObEmbb239T4BfBA0Kdx/igBP7x7LhFgF2dFXznjnCgZSFkU9O ZAvwxI4kN21LDuwsjjzOPy3A+QqD1N7jHCCaWpYu3C3A/nPUHE5Zc6DpT0zQ ckkBlvjyyvqhDa2/a77ZJM3PqideGUw7ceB3xqdhw0YeLo/anjrszIHTl4XT NsbysO33Csm+cxyIKDqqYXKah+MPDNbVXuBAYcY1mcBfg1gBqZsnenFglcc6 vwlqAONLHz5E+XBA7mPb1qv0+TyWqS8ffpWez9U/8lxsBvDjjU7tXtc5kHDw h/T9un4svSrFzjiIA7v3Gl47G9OHMw7v/kgGc4AyrLmSaNiHTcKrNuwO5cDG 2iMXnKZ7ceh8ir/+Pgdq1FW0kk16sfikptvMEw5UdA6q3BnuxsL1b31fJtPz c+WF5P2hDhwryeyITuHAHWEFh6lbHRj217LupdLnM2cRm6vcgb2Kh+f6pHMg 0tVQOca4HU+kbQ4y+cCBg+us/snp/8SC4IxH/z5xoH3M3UQNNeLmPTlppoP0 ebDJKxc+VIiZhvFHLvA5IHlxsZrZjgL8yiR45h7FAbMiK18p9AFfOm6zt+43 PS+D026aFe/wyguSHUZTHDhevizbIuQGPhJjL3lgIQHJ5/a0xy7DqOC5SZbz YgIO+sR8O/b8P7Q+CVkGSxKQO1fIQQMXoYkMqZdVUgSsdDTacFlQhh5++g/2 yxOgaFxtVC9bjerHZFz2ahJQsri9YVK1Ee2emi19RpuAx6YyVjXK39GLWUPv AzcTcFzP6EinXBNyFy8V/ahHwGpl0xsu81uQlKLrUy4QMF0m8lP/009ksr+i in2QgFk1K2JzznaiD0YZbqeMCfg6/s5tdlMnUj4Ss9LflNYr1dTsZ3WhkRPu tkVmBFR++/LoxNJuFO6pOMM4QYD7182Ve2N6UO2zSxvReTr+fXv9CYd+tEQo M2f7BQIWigU6Q3Y/Mrb4xdH1ICAlrEtrRHgA1S07fWzjZQIOTRzbfyd8ADVc Nw2WvUaAqUZ8+uzYQbSiI0R2+XUCzrFKujTaBtGR3ZUJSwIIiHt38HOcHA81 jTEL5t2m3++YW3EknIda7LR+jYfR9Ypa5xNpz0erih28ft8jQFP0a3FKJB9Z KiTMox4QECz68v6vj3z0o1FOsSeSgNGcA2bjigIkv8Uspf0JAeZmHnXp+gJ0 PPTe9tZoAkirssH7bgLUtmeBcV0cAW/oOzQnX4AUXhA/v8QT4PX9MzXWJkDW wn4On14QcP66l4LhLArFHcsbL00koLb44ze8mkIduRPXCl8RUJexQpu7k0JK y3Uk8pMJeGX+41znIQqdOu/8JCeFgKsbskfDnCkU/+XV+oxUAj7n3NhqcoNC 3Wo96alpBGRGXq9b+5j21zfXMJLTCWg9YO03N4VCtl0WnxMyCfjtuE9mNJ9C CRBh9iybgBNl4sFDNA/0PfnaHZ1LQNp3qYnxJgqtn1zkGvmBAAPdoID5PbTf Nt07cz+fnk85i2AVikKv3l6/FVpAwK2N23wNxig0sPA/6aBCAuy03/b///vc DWem4m4W0/2eq3Epm/b7DqV6mv6lBLyP+zvzh+aBZMXz733KCYhW33eKoNc8 7xTu5QoCXurpZETSPKHe3P/VvZKu19J02QmaN5z01lq5VtHx9JLajv2ieSfc iudUTUDXp0aHL30UElCPPe1rCdjOqWPt/UEhDf2G2TZ1dP5r5yyqrqGQc+KS UKt6ApSrI+5aF1EodbaBnEUjAZK+7on/0mj+sQp8ebiJAJ1D2pZJMRTSzive YtxCQMjNiUqbOxRylREqNPhBAPvNdV0tdwr9rnFv4nTQ+jXLbv1h0fyjkWbL 6CIg3No/cFqFQm63+MM7e+j6hp56LT2fQmPMUwt0BggIGJ9sDCsXIN2nTx9q 8ujzcrmgZzJegDz+NimpCQgwmWhS9vERoIl3B3cqDhPw39FIf76GAIlv1a1a OkLAAdeE/uzZ9Hx9WGk1Z4wA+R2OmfmNfEQWd17rm6T7f71GxP8yH1mQ5VJN fwmYk6A1Z89ePnKpTE74NE1Afug5Z+PlfPSo7sKnlFlceEHExbCTeSjlyFHL GBEufEzg5Gi78VBhy24qdA4X5vjXtrps56GBLtGlF+ZxQSYwbO7v/wbR9tFH R3dIcqH17jYXx7wBZHDRm6e+lAtvrc5UGXgOoBPTJ7zlpbjQYDmyKVZ7AN2a ox43S4YL2uut61887UfNUvn9ZQpcyAmvEE2170NXdDs8TbS4YLWOpdKQ041C ckvnE5u40Bx1oeinZTeK3530RE+HC4c+DPo9F+pGlYRbwcqtXCgf23XVm9mF 5A7PFWtHXJh9dqPMnOwOlO+x4aGTIRew+J8u5Z8/0L9s14wbZ7nwqtk8w/ZS NWqZm3Y7zoULc5lBRgsGqlCuyS/rfFcuZAklWiq1ViK3IedFY+5cuMh/33E+ rxz1qTjZ2fhwYWzi8fwnZwpQ7QM7GXYIF162JMx+KH8GP3ez8JqVxoUtSmcY nJ/V2K/wsbFcOhdudr7pnd9Zg60kmlW3ZXLBc2OvXVh3LV6ZTJN/Lhc22kxt ftpTh+92HtJsK6Tznf9IHNc3Yk+jg+35X7kwIuQ6MKbZhk1jQrKavnEhVmwo rfpZG94k+BI01sCFxSPHr/lJt2N+oMF2jRYuaNqJnzOYaMcn/tsXHtXFhTUS Lm9eJ3fifVoE58ooFyy0YttEa3uw0Ldvs9zGubBDeCYhWrUXZ160yXeY5EL4 3Mn0Kp9erFjkr2c+zYUo3WtN3Sp9+I9pker2OSRYV2rXnLTtx6l/jHq0RUno +9mcrJfWj22fdsSpziNpnhAP9Zrqx7V9s1bJLCRhCXdj2P47A/jVZVg0sYwE o5LydzciBrGVQnUFJU3ClLGqvWvDIJYuOR7Qu4IEEVUBL2UZD/st8hFqWEVC 1KkTiQtu8fDWd4vyquRJWCThXKpcyMOCw9EXSxVIEPcT8/Wd4OGjsXnDGcok nFgTlDN8nI8liP1vXq8jIfOO+bhwKB+XDrQ4PF9PwgqVH/p7Cvh4k85U1z11 En6bbhtwlBHgvsbbsXc0SFh6IfAzmyXA0V6yx/y1SHCyrP7HdRDgeWXbG87r kCD6TwiXZtB+y6Ei3EGXBHtPjYpdjQLsJnH0wMmtJKSIKqxpmBDgDRn94ubb Sfi0dKwiZDnt78wufjTaScLF398GT+tQ+MGM2I29u0loy5xbYmlIYf1nEUwm kKCmIZ7hdJr2l+T6f9uYJJBqBXoPfSiczct6r80m4dC0fU/jPQqfDeV6qhIk 6CvXeWgn0v5Wt0FnDUlC2A6rgqc5FG5qsv21Yi8JBitl0hQ/UjjEZ+y1hD4J 5uuLLHLqaX+tfOOMmAEJTT0D/BMdFJ4ql1IROkBCQNKvVHkehdOcnneOH6Tr cXfFYt5v2t8v2RJDGZNQcSMwuGKSwvJZxRa9piQI5R9ryJmmcJ25iczPwyS0 Lkh8mUP79VtCXd/qzUiQTTzb+5Few/PzYVXmJETOywoeoN8f2yNiWGpJQvio L5al/XuyIGxB/nESLueXvLWk/fuJcMXyDGsSXqW54VQ6nxVb0/xfnyRhMtfp uFQnhataGIznNiRkqV5ad6eBwv5Xa6af2NH1yWWVSVVQePs669x79iScKtyz 5F0uhYcqhtzvOND1v1c3euolhV84+272dyLhm1Svl/oDClsskxi67EzXL0Cj bv5VCpdZato7nCdBRWd8reRBCi85efp91AW6nu8d86c30XxxOnZhtQcJPkbp W0OW0PtxXZqmc4Xu/yEoS60QYKan/mw7bxKueEQS7GcCHOR1/dAjXxJueAd6 3bwowMo3x/9M+5Mg2atep7lagF2CtPZrBZBg2Xul6JGAj9+H2T89EUjC8UdS 8wrf87FRVDOrLIiEXVmc5ZaGfOybhu+EPCDh15aBtZsteLgya+JHYQQJH6NO XZq9koeX52lrj0bSz4fsPbO+DeKUsmffzJ6SECivvqmBGMStLQHySokkBI3t eflQYgCv7yhwMX1FwjH5s1sW5/djt97JwoBkEs5FzQzft+/H4sMOdrxUeh6e uMYM5Pbh7aIHUjNySBAsz5Z05PbiG+KBwn3v6fO+xdRxeU8PrpEsNFmZT4Lc 7MDvYtd68OlVOpPehSQcCD442JzVjR9qr2CSn0hII6/9ll3UhUfM2742tZAg 0xAgp+nWhsFaZt3CnySIbQ8wnRn9iW/bGnmidhLgmXP0llk/seK54lXx3SQ8 WquZ806iFR+8kWjjJCAh/2Z5yLTUd/zkdnvW0yF6Xi2P77dZ0oj7QlbOrx0m YeFngeeUeAP2fXwnRXechLnZZ5eITdfhypgSIftJElx9zu+PH/6Kl7+YMXr8 l4SaI4/u4p5afCJJ7/nnaRKup86Inv1eg1NSXcb//SPBoYchWlxRjf8HqjRS kQ== "]]}, Annotation[#, "Charting`Private`Tag$5602#2"]& ]}, {}}, 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]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 50}, {-0.999999957440489, 0.9999976139198091}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.871880365451479*^9, 3.871880379827787*^9}, { 3.871880425544373*^9, 3.8718804368079453`*^9}, {3.871880489052253*^9, 3.871880613125884*^9}, 3.8718806580374126`*^9, {3.8718809482991867`*^9, 3.871880973990595*^9}, {3.8718812877642717`*^9, 3.871881329049365*^9}, { 3.871881380507782*^9, 3.871881429291922*^9}, 3.8718814654791613`*^9, 3.871881501100588*^9, {3.871881537018771*^9, 3.871881554293723*^9}, 3.872063325615925*^9, {3.872063420330842*^9, 3.87206348850977*^9}, { 3.872063567759974*^9, 3.872063590708235*^9}, 3.872063626537274*^9, 3.8720832846539516`*^9, {3.873450800507988*^9, 3.8734508019607267`*^9}, 3.873450846660213*^9, 3.87378243023565*^9, {3.873782466314876*^9, 3.873782507323532*^9}, {3.873782574568894*^9, 3.873782612936063*^9}, 3.8744066043152933`*^9, 3.874406655490415*^9, 3.87440672682448*^9, 3.8744910438855743`*^9, 3.874493787464353*^9, 3.874496457815384*^9, 3.874496969788514*^9, 3.874575389693368*^9, 3.874584506913414*^9, 3.874643379182371*^9}, CellLabel->"Out[8]=",ExpressionUUID->"d66364ca-3afc-4ff8-ba35-99c94587bf18"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "e"}], "*", RowBox[{"SphericalBesselY", "[", RowBox[{"ang", ",", "e"}], "]"}]}], ",", RowBox[{"Cos", "[", RowBox[{"e", "-", RowBox[{"ang", "*", FractionBox["Pi", "2"]}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"e", ",", "0", ",", "50"}], "}"}], ",", RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]], "Input", CellChangeTimes->{{3.8737824405463552`*^9, 3.873782451614056*^9}, { 3.873782628025052*^9, 3.873782714421575*^9}}, CellLabel->"In[9]:=",ExpressionUUID->"81e93a97-5638-4def-b308-95c66e4d9014"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], LineBox[CompressedData[" 1:eJwU2nc0198fB3CEzJK9Knsle6/70rCKb8tMFEJShEokI6GSIiFERUsaVERy UWZ2ZMven8/blv17//zjvM77nvcdr+t9Hs9ziDp5HTtLR0ND852Bhub/v8Xu r2ek7cox+EDZJH8IlM8ku/uC+300JLvqzEzWpf7vM2Xc09EX37gPkmsEeqgx ZM8e8wrdOWe+3XKJQBVKl9wY3T+gMb7TdYnTBLrOs/l18+kn1Bv68ih1lEAJ cQcN1u7lo+un00Rtewj0YXv0j38B31CCgGNfeyOBqqKbTRbcMDKl3re4WEag 6XC2Uf+sUsTjZG8mmEugoB8fZJee/kALna4NPekEYqE77nk5sRw5BxYsFtwl 3w+L7+fuVaJjml8WP1wmkHjw45lL4dXot8SmWOkpAn38rqc2HfAL9TJ7TlH3 E6ha52bBlFsDGjU59/YlC4He6nHdUP/QiEqYSrnUJqlopssl3S+rCRm5PdoY qqaiG4JMA7NPfyM7ydigglAq+llgu0UltQWN6xPn+u2oiMX2rcSlxFbU7TMf pa5CRYmJFm7EvTakY7rbyLOLgno1nkYp3G5HcbRFO0+8oyCJPzNvLoR3oBMh T5J9gijoI/ejqcmALuRUsEvakZ+CamK7Lo25/UX5D0JnzLWnUFRSQvVD5T7k oXEl0XB9Esm7IzvVD31oa73D8C08iXy2xgb6ZPUjoUhj7+1oEm0cVCuefjqI HB9lPY6Xm0DPeHosHuwaQixfu3cF9o+jA8O3/iqmDiH9E2E1zQnj6G54G41X 4jAq7uF/Nbo2hvh/BOyn3BtFnfu7uPfkj6JvceIt0axjaLdjb9lOp1Hk4FTr In97jNxXCvdr1lGUSbsr4nz4ONp+1/FOkt0IUobSqvGASaRyVDU7eGwImX3f ajHiRqDvY6FNjtX9SHnTaYGXvCfP1T4duG3dj6JFHOvF9aZR4G6bVP+hPuTn VHj5xM9pxNZlZvBw4S86MOL980vLDAoe7VfRU+tGA5SeM/4Lc2hDYmuPslUL ElnPT13X+IcGll34E0++Q9xpZ6d5Av8h912+KipdmYgJcR1QwP/QtO09rle5 SYgIuTjpYLyMvEqjYwtzwnAxvaROifUKqlYK0Hpk/QmfYotrC/NfQ14CrMEl YTW4jl2Dmf4UDciIzrwMRz24+RBnUv11Gngfc0T8t0gvbr9NlXqcSgNHmn51 HKT5i4cYXh1Q6KYBV+pF/4/2fXhtnS/E5iQtHHagL7zGPIDp9Oa3iQfSQtsc 0/H5SwOYKaDxCSWZFg7RNmQe6hjAXItR38I6aYFr/RDD1cxBLEddXsy2pQPF uCd/OOWHsZL8n1tXr9EBfQ5r2887w1jDI5d732OyLvZ4LTY2jPeNeKi0tdPB GORW16SNYNvergu0Nlsgcvsgr/LqKHYQ/rr26+oWUPrxedcLizHsYhd/NyFx CxTtXzr8+OkY9v5z+M2eti2wLLBjjYLGcVT99yFLK3p4aPV7e+n5CRzDluwr coUermsmcr7PncDxZlfoJh/RQ9t6ZcDC0gROr1AQCWmlh/b9KUFhQZM4k571 g9kCPZw/ta8Lf5/EWftG9Xl4GCD0db+E8dokzitOP5l1ggF2xCbJSvhN4aK1 wAk/PwZw8esM9nk3hct0bK6heAb409bzb3VoCtfncSS2/GYAllLdb7kWFDz8 PrR54xgjPG46cs+KjYonpk6dqfZhBANP2C+hScXTcjrTD+MYweVSXzP3aSpe eznLLtvMCGw05WEnsqmYbrg+dW6GEdyOz1LTGqiYSfztnuIdW8FvcrKWboaK udOdTY8f3QpahQfxNgUCC/ag9p2XtkLu/fTtn0wJLCIk7Db2YCvMOcybnnMm sJTtv4Xcj1shR02vXTGQwHsSW8KDGrfCUhzdfoZYAiu1fuQymd4KoslBymOZ BNbguveck4MJXppnnGvLI7De0XPKPYpMYDqn19hUQeB99w+WvPqPCS7e/ef+ p4XAIWaf3zRfZALZzMDM7D4CFzOIP1y/xwRuLJtb0ycIvFYSe13mHROIG95e y54lsM51GtfjtUzAl9yx9c8/Avtrev13Y5IJbC571QqsEzhvtkfrDQszBNfe Z/bfJPD8u8NiLbLMIMFsmjJN1qrnvrFumjDDDanLATc3COwjIbcg684MLTsL i5RWCfzxb1LviUhmGHsSFf9vgcDU5K1VwS+Z4QK7wNEuKoHlra7kZJUzQ3S7 q0PHMIE9dgwntw4xwzSz3MG5TgK/rj0eTkPPAl8UG7Jk6wk8Ell2YY84C/hG XzgahAkssV/Z2mofC7g++sZHvCew00Y6hJ5hAdpi2uXgVAI/Ldgmlx3CAkux rOzKUQTu9Qviaksnx+/ii9riQ2Bhpak1WswCJ9+WFf6zJbDdpN2IfC8LRFT8 28EJBE56Wd1gvc4CV5528h6VIDDPzlfP3+myQsXam06jUSo+0c4T3W7HCspz HFq0FVQc9zD88pYAVrB6/jd47DkVb2NxMrH9ygrrNNz6RtZUfLi8UTm8jRU0 RS8rlCpQ8Z0QJPRhkRVO/pqm9aGnYsYlYSq9OhtIc037BGdR8IHcu22KJ9ig xePj2f4ACg67sFJi58sGn+s/Dd00peCNwbaHH3PYoG1g0SqhfwovNcZp2yuw w0zHQR/T9UmsEU0rHmnODmrp1Ze2lkxiP2NvtlxPdtjhrotEQifx9Hfzv1vf soPon2zjSxsTeCyL6dYn6W3g+9A2YnN4HEu5Xr3Ya7QNrnQZF9GmjmMX0RFr ZtdtMLNb2CD4yDjuS/wh55i5DUTDMiQ2Po/hjvAbjSyi26HtbJNzjOcoPqu4 wq7MzgE3o198t0oewoe7Il/w7+IAkUIcI6kyhNUiefRpFDnAzLoo+27VIKb/ q+TZcIQDWvcqnNadGcDPY9xqLsRzADXnR/+aSj/+S2mJyBLaAZzrb66Mrndi 2+wPm+JynDD+crvX+4ZyDDb6iay6nCDfcVR/rOAHlqH/pTB3iBMU4me/lT4v xf9Ojpwqu8AJbw8JeTX3F+IE1p1Fp3M4QbreMTyWLRP/9rjj/0SLC2Qe0l0J wvnIXPbsDK8xN0xa81fKOvxBK3cvf+ux4gY9ndHBFdM29Jp661amKzfUHNtS cEatHdF/fimgEsENL0a+v8mn70SFBmOG5uXc8GhPwYvV2B4kdeJ83M39PPD2 S8/Za7IDqCUv0N7sOA+kFZwSb30wgEIFoqV2OPNA/vMgTo6lAdTdm12YFsYD M3YXillKBtHDc9SBglIeIBLPd53bP4xogi+pTiNe8H0l5fODZQy97w9dz/uP F9CvtufHTo2hkwfiKoMceSFrObPR9f0YymP+dJI1mBf8gkZvsRweR57x8zel inmhOl5E5ZvfBBJcoreg1PHC/HuPSErhBKq05eH/3MMLDgHC7CGbE0hst0a2 4TovRLVc4P9ycxJ1vLnaYq/HB/r599unr06hCLaoNPHDfJD63623Xz5OITWv JPeJk3zAf1VfuWh0Cj1QK1i7GsgH6ZfdOUKPUJBBYnWFwV0+uP+Jh007jIIm lzseMKTwQbfVqU3JXAoywisSDwv5wCnny76HbFQ0L8pK2NbwQX+zEPc2TSp6 Fi5UINLJBztfC/flOlLRmqme+ftlPmB2fJnh/ZaKsrIP811m5oemoUWaW/VU ZL39VL+uAD/Ub3yVKCSoKLcl6HK1Fj+E8kTU3JAn0OtbLk4DpvzQ9vPI7D4z AqVpHPpv1Y4fkh15fX6dJVD8qLIetyc/pHY3HeMNJtCdJH7ZvUH88JruYoVo AoFCTDd5jGL44aXTiPRUFoGurAzTOabzg63z2VXf7wTyfFtLXP3ID3X2jtT8 OgI523/qflDKD76lWW15XQSyY0+uftPMDzuPP8r3In18pDgkr2yQHwKcFvP7 SRcZeblldM3zQxafgTzbPwLpiVg8mGcQgNGy0Fgq6W+VJrUgdj4B2K92KyaK 9LlMmJCHlIwA0AmWznWQ9S5VOmukLQDtLq7fBtYJxD00tt/GTAB25zowZyyT fn7UoHTppAB8+Wa6R2iOQDRGeTvveApAed3VpEMTBFpcTGXJCBIAlv39M2p/ CTT16ubStxgBmN8qRNfeRKABG4+hlnQBiJA0+a5Oer2d+WgT5aMACFoyGf73 kUD1hZrFjGUCIJnm3CKZSqDy87ve7v4tAP6buaOFtwhUJMyQpDUkAFgygpvj AoFy6ybDjy4IwJJSxE7pY2R/bjRf8mAUhB13Lam06mR/FAscbvIJwkKTZ8pz HrI/femHUmUEIbZt/gzrPBXdiY3Q+qItCK6FT14ZNFLRlbnjnKMnBSHO/R3H 9jAq8szU2dz0FIRzTiFVOdZU5GQpOsV/QxB+vBiRlttDRRb51HKzp4JQ9GWy 8PUvCjrg3prrnCMINotO+EsSBekIFKVfLxOE9oFnbC+dKUg68Pa190OCMH/+ XB2am0K75L1dKxcEIVrQy2gmfwpx91gd72MUgiK2TM6EgClEgyT2csoKQcPd aPNfy5OonQ73Xb4gBNzs4//c+iZQ/acXdTE3hODke3iv8WgC/XSJLnx1Xwhc S42/7TaZQDkVtvEdOUKQGKhHY/16HN25M2+svygE727VJ60dG0O6nHIf6IOF IV2v8tszq2FUT2tXXXdfGIRHJcZbZobQ6ZnbgwlPhSEkMvBA4t0hFN44zidb JgxMsjfxcOEgqo95E2LOsBMci2jy/JgH0GlW2WMJd3eCfh96sdzRjcLpZRak k3YB7eVG9m1CNYh33nr7zOtd8JFeRtWSrQq9HoyULSzYBZ33/v6dXy1HdWWj pw537QKmo6cPNfwpRbyhryq8d+2Gb7q/ZfvWc9Gbdamkgszd8Lz3q2mu0Dvs thr35IWNCNz6tONNMXcLjreY+nHttAiI+7fdo6FrxSXPDk6Yu4sAjo2IpaG2 Yn6TfxqLV0Wgfrn/Nl1ZG66KP9VolCgCv5/49EfadGFZBZktY60iUOAqad0h 0I+tQkNli3pEYGjJ9ZPazX4c1tL534NhEfhwOrLo5mQ/7gy4l6q1IAKhvLSU wa8D+E7lrPptblEw61zmpzMawpOnv7vLHReFoew2rhSJUcz/mff+hp0ofLeU SvQIGMUHtnp/aXYSBeWQJMfm+lGc+k6MLtBHFFbNvz+18h3Dh1ciU37FioKX L13/m6xx7G/eX5r+WBRuFCUs5M6P48ynOmO+z0RhEI/aKOhP4DUjippwjigk H4ur9qiewO8eHqv3bBQFTa3jrRH1k7hz5O08tItClCq7/nvWKcyowyDE0ycK 9rOJVGnjKezQl+/2nRCF214LrPQFU/iO6o6Y2CVRSLXRe+VITOG8CI/PZzdF weNn5uSmOAVv27uTdtt2MXgYbDhDG0XBOiFXpAd4xWCuXCrvVD4Fu/5uMM/b JQYrKpN7ZocouPhaWLKDghi8ekFjX6hDeru2q0RFQwzOOazMjTlRMa+I+iij gRjstfD9d/A2FXtVjKp+MBeDtoYc1bBGKi6B7PPyVmLAufs9E/s8FXN88854 4yAGLJ8jNTx4CHxaXb1Lyk0M2k1kXRLVSF9+WObM9BIDjsgRx7ijBKaRKzYT 9ReD2piM3baeBD6aGRaWFiIG65+XS8bDCfx8l3Gh0G0x0Llie3tfCoFnk1hn k2LFYC1FduTMB9LTXI2yvMli0BA76GlUSuCH9+LPPHwuBn5j8l3URgIPbbV9 zPFWDEIYqLx2vQRWC9vZdO8Tub/1swqR4wQOX+tnYi0SA5pEXZvLpK9br7yE qJ9iMHHl7pz4Mun/GQ9/hjoxEPOZi4wjfX3lvOLHsFYxaGVMKS8hPV0xPDe6 2SMG4ytat96TNd/pr7uDRsTg5W7eqpPkePfO69YrVDH4pMP+tYr0+tcThvev LpH94Ip6tTBDYKYGhsr5TfI8X1/bMThGYBvTmo1LTOKgdcvycWwP6ekfMRoE hzgU76NnpSP3s6x//KKngDjIK7baqZcQ2Owr38txUXH4J3jhhTzp6WSV7h5X OXEQOpqrOP6YwBPZT3mGVMShouCLq+dNMj9InzU/oysO1rKP/+Z7EPjOM9lb vfvFIbjHx7ruPwJ3CVGLTh4Whww5hU/vVQh8neOqvNUpcZCrOOLdQ+an2ju6 Lr/PisMI79UzivVUvJOBJvXIRXEwb8uytHpNxcXLUayHgsUhaOYej4IV6Wk/ 8/1VkeLA03T6zZAsFTtSdwQefCAOw7QijYGrFEwzmDyBnolD71g7m20SBR85 5Sj2/Y04fH7cLkx+n/GzNnE7nVzyPPqOfeqXp+B9tdnVaj/Egfmz1xY18u/h 5pfi17LD4tA9VypZWDCJWxRv9r2kiMNc1Ig14TeJJbKM+SUWxaG0C/rVFSbx z7TGyF1bJeBeaT49a8oEZowacOWSlYA/nbTHzjmM4zt2jJLrnhJgFT77b/PB CDZQYlsc95OAjBDrWHeNETzDwFn557oEcEpePuvXOYxtcnae+xgtAd9e8Z2N 3jWMJZnU3zlnS8CjeqeK04mDuOSLs3rNpAQ47fA3njvShxc5Sg8mekhC5AGO 3UwSzThrpII33EcS1K7fzDVRasKnimpHvQMkAVXGOQfqNuKfbu23ze5IgmMF V8DIk1ocW0zUrb+RhP5Dy5/ftP3E8p67rFzGJWGw6/eYmlUmdq4MdFV2lwKB iIYdTp41yEVPymLRSwqUgi6ICB6rRa45jerfrkpBw/KZVimNeuSeIslwMFIK ugdMeV3XGtFFr4YMm5dSYBanfTwxtwUF8In3Bw9JQeEVsQO0/V3oenRd1YEp KdjKvKN3AXejIFr/j8zzUuAlmJqp9aQHhUzWBj/cIg3Kql0v/Y79RRH4yq5X YtIQnnBhTfF4P4pzqzlZf5qsPcPkk/yGUHy33/6H7tLg4CjaGP97CD06unuP jbc0zOyZVrRWHkZJun4r/cHSsJO9UohvfBilbd/1eCFNGs6V+6VQTEbR0/Cq kMKX0hDkL5gU+mQUPVv2cQ9+Lw3e51n1cqZHUeZgpSZzsTSIHBKYbYgbQ1n5 l/4I90hD/B9RgcjycZQtL1zcPyQN/yqlSn23TaB3zypevJyShnVTPZ02ywn0 8a7QZaU1aUigCgzM/J1AeY7lXAeEZOBo+dGtjP2T6GuL1yqTuAwgppZHWjun UIGp4GCdnAy8/ftsrMx6ChWpeuVa68hAIs+kVFPlFCrdKnD0vK0MaNQ7vrr2 kIJGMhTMOs7IQLQJt+N0OQWxwYH9xh4ykButpGK1SEE2/l7q4oEy0Dab1Nd/ hIpucN9SiL0pA841Xr60gVSU+TFZevOuDMT4qsZuyaAiYqxcoCtVBl69v+if OUVF3Le6OE1fyMCdPQuSBtsIpCM6w5r/TgZsOPulPu4l0OnvjAySeTIg8vTx 4X+knyNshTfiimUgqn4+htuVQNkLyks0lTLA6nmSbQvp5+ZY4+mLDTKwFjHB XPaIQP/2nhrvbpOBJZm4uf9IP++s8Rkw65OB56eV7d8WEWifa1TX1zEZmEn8 sN5cSyB3urQWqRkZ6FLjKijvJFBM2qe6+GUZ0Ln5KCFshECfdaor6OhkwWjk UzkT6efOP73Ym0UWnh8xeGK9RPrWd/5rL6csFNE6p1wk/Sy1nSX3sJAsbInK P2tOevnQ291vC8VlYYURVc+RtbexeqaMvCwwl14oPLNBoIRBsycJarIQOSRr mbhC+jX4dAK9vixIpVZ3x8+THha6ct/noCzUOm0rspsiENPXu1F95rIgmrLz 1ng/gRROPAu1sJKFy+evzBi2EujEdF5AkYMshPYO9btUEOhadK2vnJssyJr5 OBz/QnpXZsAzyUsW+NePJWx7TqCfP5fOMvrLQqJa09/EaAJNnGZ39AuRBXF7 9a/TfgTiWBezGYiShYNJb38IniSQxmOto0diZeFxmlQdHyKQvbqFWfFjWWDr QRXjIgR6deGaXnKWLPwJENvG00tFtcz31Zk+yUKsijCNbwEVzb7IVLjyTRZa LpVJf4ijIoPeBpFjtbLg67yfps6AilwChgVKWmRhw1Tn5ucdpL95VzkVemSB tfD931sDFNRqIcXAQpWFjMAgp7kgClqZ0N24uigLIoweNxNMKEgk8ujS8IYs KDy87qO8g4I88fXx0u1yIHubHTmkTqEtSr/rrinLwVdGr/mtKZNIpnasYlRb DowmZCa6LSeRhfsGttwnB61hHqa12yZR8lPZXOXjciAmGLh7W+AEUt4RkjDu Jwe3m845fNQfR4VMbTKV1+XA/evHvjhiDO2jUfiWGS4HS049X+fSx9AJouuv Y7wc2Fl8xfvXRtGVOk3ZP5/kIFdl1vtNxggquk18K5uVg0YRYlotdxAdDDWy eLoiB02ph1UvWpB+9n/SF0S3B562v+u+Pj6A/rodYtDm3AOvrNc6VYQHEJ3R K4sPynugYGLq7ke/PmRC59if4r0H8v3NrBHRgZqWv/he898D5bsbkANTB7Kb YWO0DtkDM7Z4Y3l3OzrfVyjH+WAPrF04ifrM/qCYYl6/qA974CfSN1p80Ixa AuoZL1P3QP8/06fzreXo9Jy+vIWnPPz+eYtOm+ETZuekaWzxkwf2oHKaugP5 uFCpzPdkkDy0XVCWLAz7hrkvGn1zj5EHLzruP+prpbhqzMLs5kd5eOVuk+p8 pgYr9Tq6f52Xh3r/H3MGLq24Z02UDa3LQ+Ki9NYnLn/wHaGhD+UMe+E/lh9y Ls5teMjGfamZdy88fExzbvhkB0767R1B0doLV2I5tpdq9GCa6tBMsaC9UPdC vefUvgH8bnS/yZtbe2Fv3XT+95wBbMfIOKUYsxfmgkY6qncP4s/776jqp++F e/vbaiuXBrF7cVyZdeleECqRGrqVMIx5ek649laT8/1qrfJZGcZlq7wsZ5v3 grD3FuNG+xEsrJ1y1GdwL9Bw3jUoFR7FjZ8y+qIZFOCIx9tfxVFjOKj5bDjX NgUI7rTx8P07huVmpGWSeRVAYM9bJhe1cRyukO31SloBOjMDjfrbx7HWm88b paYKwFPjx/KWdRIPV155bnJMARwa51nTjk/iuBEtowY7BXghV3b56eNJPCX+ /V73eQWoGRz6iXdP4Wdp5cJL9xTAQM6DZoSLglPt5dssExTg/P6KzQYzCk4S fBj7OU0BDlnJL38NpuCYhNOMPh8UIGCsPOzaIAXfPlFZ0pivAPT/TSIzTioO 51QIVCxRgItbrhxlQ1QcELNKTDUqQCaXu5VNHBVfPuyUdahDAbajuYTur1Ty 21jtktVPrl/qfoVRDxWfr1LczTyhACFHr7rFb1Kxa0RCh9usAjgmDYj82E3g MwfWH1asKMAOHXncqE9gezoXC8ktikC9sKL6zZbA1iU1TOGsilB61ikhxJfA x24o/xjgUoSCEmbx3XcJbK6XFGQorAgmngf1Hj0lsMnKhuZTCUXQn1H36P9E 4P1fz85uyCtCjly/HV05gQ2u1GafUlcEp7OmA4u/CaytpupWpK8IeDh05Xsf 6fHZx6JCRoqAfpf8sJoksNJHmu5rForwI/JieMkcgfdcdEtot1IE3n0qb1b+ 73H5+iOajooQq7P2k36DwGITaqwJboogKcAe20v6e+frlPJ5L0W4XrsyFUnW /K50Icf9FSGzNLeXhvQ4l8Q5ndwQRdh//VqcKenxbQMN8xy3yf3cH7VzIj3O /FTjg1esIpxcHPx4iPQ4vcOTc/WPFcGqMUWVkfT4phC9xN7ninAj8OrruAYC r3R49N7NUoQ93OyrM5jAC4lNSRO5ipBixaEvSXp82lLruOk3cj3D6OXeZAJP cqWzv/6hCKML/8WzkflmpImhirFWESqcmu/8OE/gbvPfej+7FeG1uYx9CZmX 2lh1lsSGFeGuiv8KMy+Bm6uf5oRSFEHKekZadYGKqw5elEIb5PpSWY7tfUfF A6Ee0xZblOD1WU69LRFU/LfvifmNrUrA6Vd0v8yeijvT6Jl6tiuR3rUcYKKn 4vZ1zbNs3ErwolF17lELBbfany/T5VeCwUWpWP4MCm4UbL6eLKIE7HbdYmw6 FFx/jaGzWkIJoMzLKJyOgn+1a2kuyyjBarOeFU31FK5ISJ+xVlYCvppDgtxH pvDPhWaLSHUl6N3rwv2ZYwqXnmDMztNWAp2jzbfcGyZxEecFV559SrBD82i9 iPEk/hSj09V8TAny4y7tOSEygZ1StjEUWinBo5hLf73axjHn6wGFZ3ZKwNaX RaW9N469S++EeTkpwS5+Lkry3BiWn++UZfNRgl8cAdvFPoziTNtA/4OxSuC/ xV+nc3AIH3f977n8IyXwjlQrTQ8fwnS+4rVcj5WAZ7arUF5iCJ+O/rV74KkS NDLTb/vsOIiFsVDljY9KwPHH+MjO6n4cL1HE87WBPL8RWXu/1m68X/kBSv+t BJWy3KuPF7rwrL7LuYg2JbCq887l4e7CR6zZvp/4qwRnltSVDh7uwGx37F1m qEpw0FiBlu5tKw4n1nLltilDFq3nLjP7WuxXqH/kyWFlSHSif/WV9hH6YldJ 13FEGSTDCpHl0nO0uHLkC7elMqy/LLII8HyLrum6CEafUoaN/zgd1WXy0I2i O0MBF5Uhb+wQY2LgDxRZ3OZv80AZdMRZnoxuNqEqhzN74uOVQfP5Yx/Y8hux bE70NCQpw8EFh0cHGFpQNNrYZ/xMGWyWY54wMvxBD0ok2DVylaEtTyTgxkwH Si679IyrRRlqmBz9b+b3oS6n1eP/tSsDy/B05EW5fiS85Rbj3W5lyN/0XJdM 7Udp+5PO0w0rg0Slvm1n4ADK+FmsPrOgDHpb00OD9wyhIReTMfkVZWh1/dU5 93AISTE0J7tvKMMb10a/pZUh9Prg8OZfRhVQ29r97v7PYZRdwVpTz6cC0rlp A3BwFFFcH11nEVaBf0Il6PyzUaSwdbeikYgKnI/WkaOujqIcY5X47zIq8PTb swtDb8dQXpWNQ7a2ClCthirHFsfRkvsAx5i+CpjNfO+WPziBtJg9f4jvU4GA hTzl5NgJVGgaLJNiRr7/nbp1l8QkwjUvZm+fVIFfVSLsHmpTKJe/8VKQowpc au5nNvaaQpmuK9PezirgIn14t/vrKXSH7j/C+rwKNI8S2J2Hgq4fuXbxkJcK zPpdf2FoSkFeaRkUA18VuGFVYnM0kIJO6PyblAxUgZHvZ7cxd1KQcZTYeYFg FbBuEjJ7y0hFOn8OT7DdVAGVkOgKf2Uq2u3zbGzujgrcexu5924oFXGW/HIb jVGBVl8WjV8vqYh+2+JIZ5wKfHkT/k2+hoom3pgNlyargGi5RcEhVgJ1L/m5 fEkjz5NuQ4tBlkANB9MHXz9XgXq7ZwfaDxCo7GG1U+pLFbh2pV32hwPp8/65 /vtZKrCctfXEzyukPxV3nbn5XgXY3ngf7iQ9mxxk0ncl9//7MS3c8oxA0b98 HD3yVKC3pdEJfSJQsMCT3lOFKqD7yUk2+geBfNwqTx0tVoFvplHbx5sI5PJl pvtAmQrIGzCpW/YSyHqLsL1WhQpcVZpvaxgjkNlRo649NSogEPP5hM0MgfTS ve1216sARzSnFJXMB4qU5A7OZhWINILhB2Q+ENMtt2H8owL5DH9NgcwD3LeJ tuUOFfj4aovcGlkztglYU3pUoE5BO+AnmQ+WJQ786etXgXC/UPPHqwSa8rlo 2TKsAjk0J1oDFgnUW5LUUjmuAlYMKWfOEQRq2vbj+DeKCmwNfn/6LJlfftpT mt/PqMCRAHNHry4C5WXxHXu+oAKeNx4xRdUT6M0/w6ZHyyqwvvOf5EdMoFQj zyO318nzeK+QPvaezEPxCQ3XaVXhtKR8gEoqgUIHSiy8GVTBUpS9KyaSQH5K k3XOzKpwjo+RftObQK43eMyt2VXh2Pv/LMNtCGRbi2rNdqjC2f07zEUMCGTg Hl+jLKAKX6q/fH++hUDKecWmkjtVYU05rzJ6kIok6Mer+EVVIaNNOTm+lIqY n+pXbsqQ8//etcngT0VrFDejOXlVkDkyyO5H5k+qblz5iJIqTB652cMkTUUt bSM/6rRUYaLcZ/FjPQVVSO7YX6qnCplLE8+r0ymowFe37DOowj12vT9cXhQy vz8oSTFRJb9P0g0mTBR0zlj7+zkbVbgv3sNxX3IKUWUEynPsVSE4Rlrp9OAk 8mFZrl0+rQpx6fUiKumT6Hrd1+7b51SBYeOo6BTHJHpwXGvtTYAqvH/8Qcqs ZxzxqPPTz95QhQZTC8vcu+Momfcfq85NVThlpXPQSGscZXTkC9XcVQWvjesX maPJ74Gjpu5EqirIUtlVsneNIl1Dvv0qz1Th1YJ7lQgeQSViS2YBL1ShMjzm 4vypEVQ9nGfH8l4VBmPVulsShlH3eY0AOawKYjPccgcWBxGdv3qBR78qNAee 5Lnl04cibXlKc4fJ5w/thVv+/UVsugtVK+OqMF8fSX+C5S/i2fjcfmdWFbxN ihQLpXqQTLjav6wtaiCQkt6+1bgD/fdAVXNSUg3GlJwY7dWbUOpr5S/nPdSA fWOpl9jqi6o6nKvSL6qB3JNjAwHCUXieJaHrt48avL3q2PGsJxUfurBCqxeo BpIeG/0ZOh/wivIPC7Zo8v3j33fNyZdg228nxrLfqUHE3yhbV8tGHD4VsdqX owaDNRJGhE0T/rizYBtPnhocZu7LPXiyGTOF7FQPKlaDYz/Dm7jsW/DXAyOh 5g1qwKct+sH4cDvmrb8qRJ1Wg/R8I7e1tr943+YbBbEFNdDHzFk7T/fhi0rd hlbLanDkTnmt0O8+XBEH7sW06tB0sM0z/ks/vmzN/CWGUx1mxb8wp50fxE+j dKvKeNVhu9/44Y7WQVxbcKFrUVAdatWYhPIMhrCEcDOto7g66I8XBGmyDeOW vmQLRTV1eChdOhL/aATTcNadcdZSh5Rl2rN88yNYfv+mX6KeOtw+HmtFf3QU 33zhnLJ5QB2apT8w0TOOYRUP+bEGS3XgrKyRp54cxw4pDqtb7NTBak2Hie/d OL5T+2CbloM6JEbt1QtYG8cDCgtqT13V4RnxZaDj0QSOnfse6n1VHbI5eJ55 5k7ii80PztgHqsNF1pQY7+lJfDjH2dAkWB2GDNx7KuSnMKMXM61IpDpU4Tfa 9k+n8JB5dx/rXXWI6PtlGd9Gekn+Q8lSjDpsPlud5mCn4OsTJ0IaEtThxb8b wzU+FGxbLX36W7I6FLyOF6MjvabxegW9SlOHIonkl5eaKHjm7NPNGy/VwXGt 7QpVhorrD/j+9chSB8G08tDFo1ScLW6Erd6rw1NXh6Py18i80D95QyFPHb4I r1L5yqj4QEmxg2ChOgTQfT5ZPUjFoumxBozF6nDItrwmfQuBN4Jcds2WqkPy 4bRjj0VJv9prbvSUq4Os7XGpz2S+KNBl6a2uVodbawWPqNYEThDs+f6lTh3i ssLYjb0J7Lf84cmzJnVQ2XqUryiCwEfbw4LutarDK6dm28MpBFbItzx1rUMd fl1tTlp8R2C2BBn9sz1kvz0svhQUE3jcb1X4aL86ZGyJeBdfR+CK4/VresPq cECR9UlEJ4EzVZ51y4yrg29uQ1HMMIFDd/gVcVPUIURU2TmbSmCHaaNUmhl1 kOTYQv93gcB6DQLXp+bVYfl6opLUKoEF3k+dbP+nDvZXyxNDybyxGI11f66p w9VNCsMMmS9azscJfaTRgLXdmy5+ZJ1jdnY1hV4D7hleLmIl80aMrFZXJJMG PM63U84n84YnE+s3XzYNqI84yHh1lsCmoz3JjhwaoHn2eMqhCTLfVHwMOMSt ATrz4hfVyXxE/+KmnSa/BlDVmgTUWwjcf9NKR1xYA3ZqjlgdqiBwsZOs4HYR Dbi55cSqfx6BUw3XllfENYCjzGWlOJPA10QaOkakNWBA+J3LrlgCW20+K2je owGlfatuSYEE3vHd+FqWqgYkb6SE9ZsRmJoiaJugqQHy+bSRnxQJXBtA0QrT 1QDHxHMbLzgJHKH18J/tfg0YdKacmmumYhc+1/aDxhpgH3VT4NhHKjZc1Pqq fEgDIrxaqe13qXjtU+9V5uMakNRrXOGmT8UdcTnWC1YasOKecsOPi4rzLoVr 9ttpkB6uKsodpeBLinJLX5004P7jj+fq71DwSNblK+4+GtD0QrOv+dsUttq5 0fv6igaEpfPupt6YwuX3I4zHAzSA86CLKSNM4Uy/RH6PmxrwPTjBBBVNYieD gsLz8RpwkZ9H2PbJBG7+aCienaQB0bJLf/8emcCG4jV3p1I1AEkFL96hm8Ai TF32F15oALOdib3L6XHc27S2cTFPA9oyo9cqyO+DxYFbbh8KNYB2QcWWM3sU f89jbySKNSB4q2Rzzn+jODVl1zPvSg0QDaww3xo3gu3Own6fdg2Yp004WLNl GLf+uxl5eUUDVs0UZ5ef9eMD59mmv2xoQEqqietvxX78uSfeZpFOE1jTcpSu FPXhuLIXsldZNeGQdvewd+ZffCS68pe/sCYUvGr+odzfhWt3s3JcN9CEgesm S89oWvBPo7iksDBNuO+hYzT/PgsPu36rC4jQBJ6O00/ulzzHjJFDdL53NKH5 pOYc4/NH2KRS44JznCY8i+AUtjcIR7XGXYYHnmuC1TnTsw9dctFvE4lJhjJN 0PpmviI6VYXm3c1FNso1IW2wPLugp4b01BXLxWpNiPLXY8mqq0VW1VVkptUE n9+TzuwnGlGn6YX4yn5NuP3K2mtRtAUNmOXp36bVgob1yrSXN7rQlvN/fUIZ tOClWryHunM3krjL9PoasxaUr+iP0Rv1INdfdpweO7Tgmx+7gQLjXzRxaHPE TFQLQs0yzR9p9qPZwyYP2Ay14JGy8C1BzyHEdeFSOf1BLXiuGtO7v24Iqd1L Xlkz0YLFvv2XJPcOoyt1Uy6UI1rA9Lvy2/LYMFoxj9WuP60F+pZOVUZHRhHt f50D90O0wKQ3gbGwfRxVFVuK+4VrgTzj+9QzohPogUKTs02UFmg6PPIPcp9A ItuqhkQeaMHDgLGDtLMTCOq+jOSka8H6r3vm1TOTiElfWTohQwua9+RHPN87 hRqzs90CXmnBr14tuia3KXQ6OmNs3wctELHW4xFpm0Ihh2InfhdrwZNS1mT5 ZxRk8o1tz9cyLdjg0ZC0bKAgjj1R51MrtCDd8p9e4SoFPWUJnnKp1wKuG/Vv Ff+jIveAFXnTZi2QObjAqXuFipQmLl/Y+0cLTK9JSF9LoaKSak/qQo8WcPCu Pgvvo6Io7TGFzn4tiNDenDWnIdCRN85excNaICu0pcJwF4H4Bf5+eD6uBbfe e1g66BCoL8puOoJC9qs/YOnZCQK9/teqdH5GCy7W+uxivUAgb/ejl/5b0ILD Whk2STcJpNVem6O6rAVjN8KPmCQRiMbEZJZvXQuOFtfUCrwlUFX+D5U1Gm3I O+P/kbWIQA+kkW8fvTYcXaeuCP8ikE1i4aefTNpQe32j8nA7gUS2asy/ZtOG heez/yUPEmjsSo7aPQ5tkOxMG6WnEOjjiPzlS9zaEHvCnSZ6nkD+Vq+/WPJr w2yghYziCoGgQnxRW1gblj7MMFPXCcSkka6xS0QbDh1P8qwi80DjC8GrdBLa ECGlolZM1kk8Cfkj0tpkPrQ900COP31rx7+aPdqw4W+5Y22ZQDIL0VofFLUh rZzrxgFyvmkXpmsPVbXB9LPsxuspAn1tuVlwVVMbaNpr6eXI9YYc2Fw+qUvW b2pFq9oIZPI5QAeQNnyhu0MbXkMgDonFAIn92nB8ZsrT4RuB2h9e+sZkrA28 DTamNlkEerqFsjplpg3euWlJPokEcvd112uy0Ia7e6n+78MIpDQ4eP3LMW1Q OP1Tgt2TQCVlnetBdtrgMchqpaVNoCgVKwMnB234cfFQz9adZL+fN90wctKG 6dQQVZpNKuoLrdrc5qENK225N32+U9Hrmf0wd0EbHh/wdZh+TEXeZ3BI2yVt aLK5XJ3mR0U0hnm0T69pQ1utMiRIUJHdgdGa9iBteCcm/lJxkYI+G/PH7wjT BhOBpK2fyinI3SJA6uYdbdBnqXa65UBBZUffEt9itIEyGHK3S5qChC27v87H aYM8txq7HDGFmk4aHHJN0Ya+iSPMJVenkLyjF3d6ujbADG/Ldu0pFOH0tKct QxuC/64luv+bRDrn6LxNs7XB3ExL0fjSJHp+pSJe/rs27MlQ3YkOT6C1a0un zpZqQ2Mtra79xjiyCpKRTisn+3e3lD3r/ThiCb9TsL1eG7SySsWpzOPIN9ai d7ZXG6Sf1ih+ezuKDmT/kS6g0YGxF/seDz0bQmkfts7M0OvAD4bP6ePaQ+hf rlahHLMOnGOylYpoHETZBcmHU3fogMKStVTG8gDiqXS4FCymA4viGcdBrx+N 9I8UHjygA8f/C3vZxtWFoviWzJsjdWBu5NFtcaYKFF9VNVh2VwdGbxefK+D9 idKvJV/7dF8HEsvuBfBJlKG8Lv0X8Yk6YFTAeNLsahEaTg9fs3qlA4YGp166 3HqD9slwvu2q0IHtrvt/WhXl4jWtvUzDDLpw6nLd+IhAC2aa2HjSyqwLv2hU Qt4ytWKulEbVCnZdOODZmSK72Irl1n0dX/HogvOxB738dW3YtrQw75ykLsyW Pn+tfq4L55manKUeIJ/3+ByXkO7HZSsCq70muvC1oPUyW2w/rns7+aDhsC78 i/lFHVzux0Ps94s+ntCF+CGhKOOqAczV3Mrl66ILN649SVa1HsLeds5lSzd1 4Z140sIFrVG8LX2iTy9KFz5n75l58mgUZw9e2gyN1gWmdYWp3TOjeNQzRI/t kS78CFiibD4fww7BT/JEXurCrthZl9CZcbz2Q6L1bJYuvDYcq42FCZzMlD2X 9V4Xdhi5PfhxbwK3xhYqqefrguWnPIvLYqTPM9uyTKt0QfJLsmmI2hSeGHOo jqnVBZUdD/Yx+03hqL0jo78bdQH9fnf5bs4U/pE3L+HQoQtxsa2yHlIUfHo1 cH9Gjy6sa7DZFJ+i4A20xWmsXxeWreyFVuMoWKd6R7rPhC74sgmc2r1Ewe3s j7/nU3UhpS6nYFOSiq8cE+lem9WFvnMG7oXHqDinS0EgclUXGA0DJXJfULGF SJ5m7aYu/GG4ajr+i4qnXPStdtDrAd2VcwSVoGIZ6qGHKWx6MBlhmnFSmfSw yu+cPg49uK97iqnYgsAuV+0aJXn0YCaf6cnwOQLTFfVTPQT04Eeaqk9jGIHT ac6xf9ypB5/lH5Ref0x6+OD0ngVRPXj+8BtljPR35+2rZjpSehB4/mQYVwmB /es33IPl9EBDU0tttYHAvFwRkT8V9CB/9UR/Wg+BP1uzv2RW1QPm0S2x62ME PpYa/9NCUw/sGP/58pL+ne4TGnyoqwePmU8MjZE+vieZQduB9CCOK++sH+ln OQ85kV0H9KD0Ebz4Svq66n2OgbOJHghoPr32haxd57ROvT5Mji/fNuhBjqfX KgmkHNGDaeXjrB3k+55fN05WsdQDuYTigzTkfFBa//WqrR4YG0lt7yfX08tg 1VZ0Sg8cpzrZr5PrDTTrWaB10oPDH1N3NJP74b/vwm3sqgf156O5hjCB835P qkR76IHtlIDGJ/I8TvD7Hm26qAeV+4mfQJ7XrP2KF68vOZ9sh1oMeZ4PnoXG nLyqB+3ns8WfkOetMML07mmgHugGyNh4kf2olXvwazhYj/T3n1JGsl8eXnwT cuF6YBk/5n92B4GZPqcxeUfpQUHituJ7ZH9f/pOU/hJN9pPr2Eoo2f/+UDUX 9EgP9gTTlrdfp2Ip3m0x3o/1IL1Kd47tOBV7ZI3mP3uiB0vG9w3kpal4vjmZ lf6lHjj9EjqlVU3B2m5+6upZeuDdapOxJ5GCb6yaO7q+14PdtQeneJ0pmEmC 9lNVnh5cvXhtcXB+Cpt/7exeLtSDQxv7TOoKp3Dc4c+Me7AeMFrqf/9Oelzo spvdvUo9cGYe+viTZgorVNTRHmvXA66r/PEjlAnsa/dqz81uPZCsjvt7M3MC f6WGWH7u0wMaZ4XVw7akx/nU3vCO68F+peBzV7+P4xPuyUe6lvXANafFu9x7 DAewuKW7COnD/tXxV+ejhjFOg+pHu/WhYf7NcT+JYUyvKjhXIa4PhxgVrjLj IXzvZJ2RrLw+GMdY8C0Qg/hptiqVoqcPydbP85INB3ClBY3+VQd96NTcwX7W sgdzP3zcefuZPngGKos1qPzCLK1cTT4v9OEZCixYNKnGNHwxlSff6MO+U81l KacqMSU57PPeHH2YGRV9+jvsB654fj6mqUQfhL9YLJ8Lycf+ufr7BPr0yfth OUe3koZ6mvrfvN5lANl5m7ZqJ5tQC5f901gxA7DMSNO8c6gZ1Vj+SQiQMoAK tnrnKp3fKK+j5uZhBQO4ymH38CdPK3rQ/+nUtL4BLEcKVCgVtaN9M7d2aJ0y AMX7X06VFv9FWqo0TKJnDGDtgTnD3UN9SOFywAbzWQMIfZulX5TXh4SWL052 eRrA0SnPKoE7/WiexqY8+LoBmIV8+LtDYhC95JC7VpliAOfrDbfn7h5BCiO2 /+ifGsC5k/0VsyEjKP/b7av7Mg2g8QXNSFrfCKpyHb/8PdsArgjpJu5KGUUT Ra99Pn03gIsjfu2Ma2PIJ659ZrqU3E/DoiDlv3G06sZ0SaHCAB6+8jBiez6O 2Ljcvd7UG0DGq2euvTCB9p6T9kz/awDJRZz2Wu6TKM/AerJ70AAEj2QmHXo3 iQy4Iz0ExwzAyVVB58L0JLLAI+6Ppg3gdFrqXJX3FPoTzzvWPG8AMZ7ft668 m0KOHkZuHMsGsCA7e016fAp587w8e5cWwa6+A+uuthT0b6J1qIoBQSXdQflL MRQUWsLgwsiCwFTi7YJbKQXFnT/rFMqJ4OwJPnl2USoSNHzUX8yLgI02pP+z ORVl8JafXhNEUPAuukzXn4o+l0o4XhVHcNDurW5XBRXpJZ7o/SyNYJ5L3oI6 QUXlnuGnZvcgmI6MDW1lI5DFvs/dikoIWIv/84uRJ9AfvqGTF9QQ9CVvn+I1 I5ADhasrSwsBD/VPq+dZAo2U7bcb00OQX7TXKOYGgS4m+XZIGiLwLIdr1x4R aOlCho3zQQSjurS/5Ukvhuz/3fbUFIF8geHfl6SvmQS2WPeaIxB0bDw6Ukt6 m6ryR+gYgn/yMYwTnaT3fzpZ2lohuHrzJm3OCOnNx3EtCXYI/vyZuagzTSBZ r7LjLQ7k++85ZdxaIlDugdnmHc4IvrN9EopbI5COoNix/9wQeEzsDHIk/VxG HG2KPo9g7YjhI8r//z+nPPRIjRcC3UgxO70NArUk5zRs9UOgmakwcYj0ub13 v8VBfwRCnlrRwqSnhw7uqA+7joCw8v3wfpJAF4QMzUtCEBiWnp+k6yfQ4rR3 7Xo4ghvGa5sCLQS6UfH0kO5tBA8PQ+v8TwIxpjbW+N9DUJ99MzD+E4HuX6Ix y4tFYJymuGclndyvsVL13CMELCWfD0jfIfcrfNpEORnBPVufIzt9SN/P3q+8 mEaupzZ5o8eazBeV2Cj7OQI3LR7p87oEKvXZfVD6LQLLVDu2uVUqWlkgHgh/ IOe3GA617qIitWsl3Ts+IWh8PRHV/pX0dPAZv7VCBGp+GZ1aF6logE6lZKYY wU/Rq3nCRlQkHEHHNlqGINW5+KCUMBU9iM7IaKohn1N0+j+XUVDNdj+ioh7B ZYsiV/SQgugfHtAtakawO3cuduUMBfk/Hm5+2YlAOmwfw/YVMl++lKa7TsZS vqUjH1l5plCy7D/zS1QEp53OTF1um0Qt2VWPXWfJ86yaXtyTNIlMPp1TPrpC 3g85BY673JOIv89SiYsBQDvvtG7U8jjanEp0HOMGmBS9tu7uP4pSFUIYBnkB HPt3LySJjiItb/e3PfwAaQ6XIx2qR5DPnNZSszCAVgzvnhLuETSy3BHzXQJg UEB08lrKEKpnFC6OUwOQG83aTb3Qj9JEngrrnwA4g7sKb79qQdvuKFfttQLY rZrgNfTtNwqeK/PdZQPw3vToVt6GZnS6Yrhm8yTAZnX9C/XZRiTmuedamTPA fxxcm322Nehlfl6rsS/AImdNqO6WPPTeoi7mWBxA//svu/D0D7zrq4PO/niA yI2oi7izHN8XnR5WTQDY9ln285Ufldh7nlOfJxnAvPeefuKDX1gl2Way7RlA XK7pLbjbhPOGB41P5QA8yYvvlO9ux1L/XZ4z/wRgSYzyHyzpwIlfGdMNvgBw T5193vG8E/vflV3cXUDu33L+9D7nbqyj7JU5UAKw4M7pltHwF3+/vkLj3ggw vCGnWCo5iBc/jEyHNQN0mYvLs8QOYqXB5r4nLQD33O4c+rcyiDNN35b8bgeY WH2X+7JmCN/htQ9B/QA8r/8NhNuM4J+mJt52gwAy+zS3K34dwevX1U5fHgZo zDa6ZsQ7ir0H2eDtOMBRO3mujLpRbPXx+ybvLMBPrV00LjLj+MHgG0J5HuAW JXKtMmAcV/Mm/D28SN6HrHgT91/jWC/oIg5bAXjFuyPZ2G0Ci5ntDqbSGUJy Et/7qahJbB/E6sXMYAjhv4M7n9RO4kcflxwkthqCF6utptO2KczE12hgx2oI u64ZX+CMnsLEYMhGOZchtD5na3zsRcEyfBeofTyGICEwmOSZQcFOZra9q3yG sFVyZkm5lYL/fFQuVhY2BPk4zpYIFSrmGNr5/vAuQ4iQSevc7kDFpnwsaW4i hiB89OedG5FUXBQ0EPREwhBi+p0f0rZQ8eLH+gtfpQzhQW9IOscSFSsOFZ76 LWMIRHhP0Qofgd35XplT5QzhrvJaxncN0pNmD/WZ9xpCY9sdVevjBO4OCt4r oWgIXT+jvMsvEJgn5/xOpGwIF76di2CMILDFkDW7naohyLlqVPKnEjiK78C6 n7oh5O/MervygcBlZkqU+5qG8IfG4ndWKYFXg4R7srQNocE+ll6micBqOUx1 5bqGIOPyV/5SL4EvDs0X9ekbwiGV3NO3xgn8mq8/exUZwhPBjC5n0rf9ZnWp vPsMwXSfPw3bMoEFbxREKx8whMibirZBpI9P5Ly4ftjIEAIfMybmk36OGYr1 dDMxBO/4kLhCsq7ku2EfZmYIo4/cD0WQ42kOeRx+ctgQDFqaxgTJ9+ncsNL7 amEI48PcBf7kfH45++R/HzGETydqlJ+S63k/pCBMPWYIy/5lRCy53jE+ITZm S0P48WQlz4Lcj+ihrWvi1oZw/uJ9nzZyv2qt+5sFbQ1BLe9mzoUcAhs5hrze cdIQOHUZOgTTCWwzXnSD6ZQhOH7p2NJ3h/Sx7/KJTQdD+HpH2aPYj8DX19X3 LJ42BOe1+DP59gS+H+lDS3EyhLAHDfa1+8j8kTL5rtPVENZzS74dYSbzkKRM eJM7eT9zohN+jFNx+wcXuyoPQ3ihLelsW0XF6z96GPMuGsKOOvr1hWDyPlkI 9mR7G4JIgas0rS0Vi7VbfcrwMYTvSZHrmkpUbDTV4Bh7xRCuLf6vAjOPp+J7 47gWtFBRfduQtFoqqSjkPPfeuXdum2wtRMmSEi22hEQqJSRJ9lAhiZQ9HCKE NluyZF+ve0dlJ37z+/O8nnNmnvM5n5l5f6YgSuUnH59wElO968yA6ZjihMlE PrYW2i92w4UBBfFiTRMufPxg2YcsG3cGeL6fsYlfTuc/zTQJ7h0G7MkVHVqi SufNksEerbu0364uY7SP8/CUztb83T4MwC3zq+fk8vA6yzjr9f4MuKLlX87R 4GFrv5Ci6ccMcBmvK1Tf1I/dVtSGDj9hwN6kWXummvqwf4zE5YFQBjTPP+S/ LbAPv0v3kWqIZEDI/XtTo6O9eKrZzTH9BQPu2UjzY1J78INtZzbbpDNgpMYg IretE8dmRf4zy2RAvixTodGzE6cxG6oNsxkwwc9HebKduP6YvgeZx4BHp2bd 6DDqwHI32D/lPjLgzxO9D6aFbTjtq/z9nzUMCF8q9n5XdhMOWF/4YqKOAUsb vKKfFTfiC1dPFKz5Sfv9ig+1+ksDllvrPWzSzIBYXk7ZucZ6/OBi5+n2LgY8 uWv41K6tBluLP93FG2HAmoxmA51jn7DswWW/plYy4cTiffyt0qloKurVmPQa Jiwa4rw/YJyOfvxhLkXSTBC10N/cGZqN/MOucD3XMUHxitvrJNFCNNn35a2w AhNmtsf6O9l+QnV373kv0qDr/0T/hQ/UIN+SaWVZEybYcoUHjom1I7jSvUP6 NBNGvCeiGx3a0dCaLyqrzzCh1eKfq2ZTOzK+ErlrmSUTZGVyFK/Fd6CtUpp7 5tky4ZjifkJ5exdqL1m/V/gSE2ZFsT16/LpQ8JWF6rOvMMHfvLdrP68LTZc0 aEw5MMFe5KvyeEw3+nLlGhp0Y8LjqONhltM96KbUGeC7M6Fd5LnVT91epFrK ZfR7MMGb1/Gs8lkvipJayeq8xYS5Td8Y0qw+dKk0g1PvywQjJXmDlov9aINd FFnrT88/dmt3SXo/qpe6w60KYAKrxTVbZJIGBbujByqDmOA5uD/ey4OHlkgP HS6IoPt7mvZr0mkAFZc2audFMaGudm/nvjcDyNmu6EhONBP+OEWwcnoGUGtp oG7acybsvxnjZKDLR0F2LnqpcfR6hzPFF7z4iCttpp+cwIT7ojGmb97xUard jqMJSUy4JxWSlr5IgM5Krzr2IpkJYU1Cny/vpXm7TOh47BsmyMQ8Hz5sJkA3 pb+diEhjQrb/IzeLZAFSLcs0DM1gwsHs1M2h3wWo3+6pUXAWEzbtm3Tr/iNA emUXjQNymVBk2Dq/aDvNg/bHTPzymfDp6vIb2gcplCOtdcqngAlCNp2reBY0 T5dtPO39gQk3fx9mP3GjkJy9uOmtYiZs/TXloxtI87n0sKlnCROGGSaPVsZR yKes6Yx7GRN+Pk3dyMukkJZ9sZlrORP2oU1bykop9Ec6ydy5kgkOQe1Pk2sp FFf2yMLxCxN08crUSJpfjexdLe2+0deTWfo0iObbRTLmZy9VMeHHOKoM/Evz c9kBK5saJpjt1ch5Mk4hJ3uVc+frmBC6p27+s38UUpBZff5sPRO2vZB2TaP5 +lfZLGvzBiZ8szPhV9DjR/Z91qZNTFBulTvdR89fzXG5ov+LCbnWrxQ20rwd u3KhM6eVCRLehwZdaN5W4IW7721ngvwJWRHeAM33eUq3lTqZoD7zX4tjB833 AXn313Yz4X0ZtUCqnuZfM+1AyV4mPH+mrPqrnELc3S0hwv1M2NKxRiHvPYW+ iV5+OsZjQtbB55XZdB450SAUx+PT/diclq19QqHWpIdJvygmnGc5EUu8KHTu hty777+ZgHcGOdjYUIjSfZdd/JcJGuyaeTx9ev8biILMYSYQmUmOfnspND1S U5I4yoTMjvqDR6Vp/SJGqgMmmTDa3z7HuEWAgi96N3j9Y8I6z7ePovIESJqx ss1phgkNJz17xcMESKl7r8B4Dgs2vB+66ErnubSs8qEjwiw42W2j5L6Bzm/3 T04yRVnA9OGUZIzz0UHl6/PkF7KgoG60qjqKj6pmL1osJc6CvO87X+Vd5COj 2qjlixezYGs3qdCryUfWLgVyw5IsWLB2mfjCmgF0t3jOvsLVLFDU3Jzaxqef rydBrDQpFhy1jNeRf8NDT85vPBAvwwJ/8dDVlZd5KG4RedxPjgUf1rfrqfD7 0ccTPlcMFVgw8Xl3xmBVHzqkuMb5kBILEJVl6HG3D9X8e+WOtrFgcbBV733N PtQZ+/n+RhUW3Npb07MluhfN5i+J+72XBe8fx2hNH+1BPjgmqVODBedc6qwG Z7qRRKDKux/7WDDOLf53K6EbyaoZFOQxWOCgJ0omDnch5Pmk4d5+FtTUbg91 9ehEbstlFssZsqA2rENZwaQNfU6db4ROssCk95tSV38rktEefm5swgI14mz0 lautCN+pVH9yhgXrHXk+Wqtb0Owxl7Ni1iyQMhN7cO54I/Ju+JE34sKC6DG2 sa1LNQp8+tCmIoIF8hJLdmTPikcdGtcze6NYEGjvkiEhFYl21Z+bLRLDAnZo 8IiO5V1UuwRC4AULTB9rdtyLeYxX3hQUpb9mwQtz29Lggxk4yuLgmuh8Wv8D If3QUIFfyguXO7SyIDzTJOzXh2ZcJcWYtG1nQdWUm1JQzC88tfi6klUnC7yw cJiNewvWHhnyN+xlwX1DI5Utoa146EOnvtYgCwwqPa9nQzuWyZC9rfaHBX6J vn+649sx+dI4Q3mI1kNB6fNv8Q4c9qBm5foxFhTe3UjdqevAYFzcLCpEwD68 PFDYsAtbHxFaPGs2AdMH7551yOjCj5iaMDGHADHN9NkPJbtx95a02AFRAvaH /9TIK+nGvsPPrL4vJmBSo3Jiv0wvzuhtCSmXIMABUsr8L/filsY15UVLCXhG fyCOFfZilQ+PlDJWEKCz4/5lk1N9uN7f63fYWgIadS1XFNzux7NvYrmgdQQc /l3cGVbRjxUdJ/X91hNgkFB5uGYxD7uftM+4sZmA00p+V/Qe8XCCdkqPszwB S67NUnpQxcPfGbyVdooExLlL3Fy9ZABv2GLuarGdAIt/PbKL7gxg7TVPk0x2 ELBI8oTmpfwBfHVRY/OxnQQMtG8KXTI8gMuH9GC/GgHp1ee6RUz4+FIhU3gb IuDvyRnvCysEOCTNXXUzg4DBfIOXVxkC/CE+x0qWRYDEqt03ks4L8DJ/lXJJ koC0e+oRd9IEWMvz4uTC/fT8yLNHN/8QYCuHRCXhgwR8CLaL76F5P8dI7sGo NgHfefXqeCeFOw+fKhjUIcA4dn59lTaFxRlhv/v0CLiVOPNx2orCqrvq5DoM CBAkxrgxblDYdLOkQdMxArRrwh6GBlHYZ7X27doTtD78y1nCCRR+J+6T8cWI AL5fyIdb2XReECrpKTUm4KO399PlnygsMjRrVeEpAhpcPxpn1lF47E2If6cp AdVjO2QOd1CYZ7t97jxzArLy1QLC+RT+pVByTdGSgIQx7ZGYYQp/6zGmtK0I aPd8lXd6ks4Tz/9a2J2n/WJOXq+ZpnD6GZ+GxxcIOKLfPzxD832CzDqdbFsC SjW3SbbT9bDGzI9NlwgQKfbodqHX+4ZoawjZ0eddtS61nL7+jaNdb9Y7EDAu t7bhO31/O0m3TaQTAT3Vh/4G0P1ZfJWMsHYmYO2Eeta8HxQ+5vtSwt+FgGj1 LYvUyyi8fz94p7oRMOf87zmbMimsKfJjqsadgFyl6e+fn1F4W5Gt3ZgHAXbJ Cg0q/hSW9Zjbu8aL1kM7Of6YE4WX7gs3Qbfp/s/PCNRpvheZ2FFt5k1A7/o0 vzZE65VRxr1zjwD5I6Y+h9ZRuN/+dP7L+wR8On55mbsQhZuVR3Z+9iPA/vCs W87NtF8S169dFkhAIrqnVRUgwGlWOUFqQQQ82hg5R81KgOM36C44GUzA4nDR 2EsaAuwb5T4cE0ZAxfPU5eeb+fhY4M+K7c8IkLnut+aXKB9zj1xm6L8ggDtl UMf4PIA1xEQzneLpfsMi0oMDBrDsnV2xea8IWPBO9tRGCZrvrz1wPphGgPPU 97oTE/24SXWT4GIGAVM7jiiWpvTjr39zzQOz6PNdp3f0sHk/TrPt1/6ZS8DM kc1bMov7sPsZ9karjwSUa0XsiL3Siy/LNIX5lBLAQXeeXVrZi80b7ZYkfyLg uZC87q28Hsw9Gj059JmAq5YqrpGze7Dk/snvN+sIEN/q43LoWheOV051j+oh QE3BIqNHph1fXP57PLOPAMm7yVL3Utrwrgllx+88AoadGMl/tNpwQdGbC3MH CTiO39rsM2ql+f/NCesxAsw/RUzLiDbjeddTVFTns0Gfn4UTdGrxuU+vuz8r sEHhGiGpk/kOb0vmn+lRYsNz3cPVVeIpeChwa7PQdjbYWSiOtSXGYQ/j19U7 d7LBRiWtO8jLG4dQSQWhGmy4b8n2OvLuFSpbnhRmeYgNu1t4nJrgUiRvlqj9 z5YNpwN6trWnN6KySPU3fy6xIXz61LO5T5rQ2Z/lEr1X2CDzrvHyZadm9FyH V1PlyAbzzZxYwfYWJIuUTiZcZ8PUGfHnCzht6D+pZCt9PzZUlrIOjF7sROnH tT5xH7Bhi+5p7rcvncjg0RcFrYdscF/xTth6axd6uIDib3nMhoaxt+s/dXch sfHtDtMRbFD1ElsQsb8Hza5L9XiZxIb8NLey+RV9KEaC2R6VzAa1t3NY9sto 3j5cxQp6w4alshdCDxn3o+vFf0RupLHBeiI8a19PPxp7u9PPIJcN0qU7dsb3 0XwgKBLsz2eDRNMqQ6lNA0hVwUAHFbBBo98oos10ANnHOCxVKGYDYbbFXfv7 ABI8SA+dqWDDtULDO0cj+civgk37gQ01oi45ggo+UhKtM+7/yoY7nyeK8sf4 6Lz7yNraajY8ENinjR0SoHk5dzzLa9nw7cHGByYOAhQ3/F8H/sGGfSmjm6hQ Aeq0UYtLbGRD2uC1hAc0b3kllIpGN7Nh9EK7ZdiMAMl1Hj//uIUNQTJSdz/R fFa4trfcp40NZ00XwBp1CpmedFby6GBDnPPWRj8DCs0Ez/N37GKDaUJu0Vpb CkVVhVDWPWw45pbv8ZXmQ81F8rqmfWxotlibER5Cocb92W+P8tjgFViywesV hZhHnp9w5NN6CL2/2JxHoUSDB9NBFBsiy203TH6mkKSRy/O032zIsdiyvrGR Qi6nLQ/U/GXDyLGYy249FGq30Bn8O8yG6jZxjV+DFDpgrRG8dIwNx0uUf878 /3/3pU2aOyfo81Y5W946RfO0o0S73hTtt+qkDA+at2+6THnbTbNBXiTpYgs9 7r/RszVQiAMPt2fypmj+1rtdVZ06mwPPd3058pPm+WyfvGvf53IALwvvcqB5 XzYgYe1vEQ70xNnIfuun0N3Hjz4umU/Xr22L4LVQaDDM/YLyQg4s/GEiXVZF 83T0eQkdcQ7I8yYDzhZRqOCFQealxRxokrguVpZKoS2vkMkDCQ7o7U//zI+k UMAbhTkpSzkw73Oh+k9vCo2lL3/5ZTkH3v6k2u5fos/jvdARwQoOBEZEXxM9 SqGyAt6Q+GoOeB5RaD28h0JPKgrhsAwHzsVKG7HGBGj6W1K3jSwHXgTjwZEa Or/VPfH1leNASq6hsXsKnc/abOsrNnFgZt/280tPCVBU9wl33hYO6Lf8V7pJ RYBEBlgbFipy4GVhj92quQJUN7Lq8oHtHBjlate+jOEjram5/1nv4EBFj6+r ti0fxc0afH9vJwcyIu5pt6rykZNYiegnNQ5cenlgtKFoAC2Xs3tKAgcubOZW RH/kIbfNJmwrJgeKdqdw5Dx5qFOJy7tDcMDBeSbinToPpanJqJVwOfDvjdCP VQn9yOBw+RdClwMdVfXd3jZ9KFcv3cFCnx5/OpiwelUf2nAievWtoxx4ZC32 ureoFw2ZOZ0tMuRAwDGVZ9rLetEjZ7lphhkHrIofz/yO7kZVz1y2InsOSEe5 uzle6kCSQhnZ6o4c+LMoUm3Jgg6kb/ybrXqVA7PmxoTeeNaOapadO7XVlQOK LunBw1Vt6Mftow/WeHGAp2O39e+GVtRkpfx7NJADi/Wl1GRVf6Iuxe60N285 cFDI4zNPuBhturuOkZTGgTWOrV0iSz6gs53Gn+MzODBucUZIZFUB6o2o7orK 4YBpDpVzXCcL9YsX/uf3gQP+6zVu9I9HIwEV7ny+igMn897eRDsz8dg7XU25 PxxYoedANjJqsdge1S9LhziwNcgopE2xDsvmrjYVHuFA8e1nHSHLfmBucYdX 7zgH1ENX+na01ePQGseK5FkkFOQ6f7S1bsLqw6FGGhIkTG/DbzoftWHta+4D SktJMJ22rdOZbMNm/8zcZZaTEFN5j/36TDv2EVaKnbWKBGlZzy4ZxQ7cuDy/ r1SWBB2eqxS86cRuqu3OBsp0vXDHFV/3HhyQU7KAo0JCvliyvXZVD36u9SpC bRcJTk9cPBM29OJKjkPB6j0k9BjOM5f42Iulj4vMa0Mk7NgTcmPnUB9WaewP rWKQIKpx4L6KZj/mnP6qWMwi6e9VrPyLm/34olXIkXiShG2p3Y9qFvBw/lWF J7ZHSBhXD3zAFx3AVZOL5E/rkrC8anR6FWsAd9/4m6OjT4Lu7JWm4W4DeNHd 3F87j5Mgma58/UH/AJYTi7m80ZCEnavS3k/K8LFqwO3ZK06SoM47/ztFl49P hWhvmjhFgqoDz7wzlY/tpHZm8UxJuLZq9t9TLXx8J3rFgWYzEoJ+qMr8t1CA kxNabQvOkmApcUtC2YTmHaWPM6nnSIgUnTvL30uA6968fPjMmoQidk6jTIIA z2TZpd+5SIIjmlP5jSfATSJv78deJuEA27vHTZzCOQa/z+TbkcC/0JEitJXC T2KV9zQ4kJDg7DtkeIDCDoOXFo04kWCk5P7qjiWFdbVSOiWukbDn7unft9xp vvMV5Gx1JeGf2fP5+o8pvLBh68P910kYPZh0inpJ4d7NtlaWN0j4nv3L80Qu hT86Ju3z9CRhoVexol8lhWOLeEsjvUi4GyWj6dtAYQ8Jxf6s2yQEKExkG3RT 2OS0dUGNNwnxWYXVXRSF1V+/DB68R8Kt5oMtWqMUXjnZayPmS0LwnB7D01MU HuZuYW3xp/W4YdbLoXm4KthqFRFAQlb3suPD9DilM446HUiCyouWUGuaj31V uj+6BpGwrm57ZdwEha09NkY8CSbB/+SUcuIQhckvFnbvQkiwUitUcRyg8Aap 59yvYSS4bXQ2n9dO4dnWHTK8CBKErvq7WdRSuCVTbliEfkMFKNef8imhcK6w WYVcDAlLL3hIuqZTOFQ/JkbrGQny4yMlarEUdoppvWr0goRJ3caqQl8K61Nr tZ3iaf8Udb5b7Uhh5X2nNwS+JGGov3QRcZLOK/ejJl6/ovt1X5WCaD7ur2/+ 9uk1vd8T27wX03z8wsH4+qy3JNxL6ji365cA3/wQri+dRvvt6csV/tkCbLqk UX5vBl1XUuR+DBTg1UmGdZdzSAgL8F3zQ0uAR8dDknxzSXh6j3iUKSHANWT9 zYR8EhgvhVQ92/nYv+PY9tYPdD9iTtB8nY8v7AgWniqm38iyKM6JS/PyjdrG FaW0X0JTVEQl+HjOGoO7RypI8CtyPygdMYCd9XTb8qtJqMg/JRUYxsNHowMy G2pJwGL6x08c5WEVwVe/kR8kbBINO7tnEQ/z72mrb2sioWtLU4+hSz82Kzz4 KLKTBBG93PE0zT58UJnDdhsmIbo787+yi91YqLZ2lsMoCeb50kcOLevGGdcs 8y+MkyDruTbIJasLyxXdUjv5j34+VrsG8KY68cTRInl1YS7EfIgtx04dONEV Fo0t48LuocQRu52teH6p+g/7XVw45TImx5/6jvMvlD+6oMoFwzVVm14v+I4d lhjpmO/hwsttCpqWK77hVsNrn/Q06fWx65b+PlmJswYy3+8guBBlNRYaHFuM z0nujqb0uVAjYh29RvAMl5psP3/Bngulc1XEgo6UI0nzc+8jHblQsOSwfYtD JTp1Lkb821UuiHvfShQO+YJG7Ja+3eXGhSzNpsaoC9/RhrujE/9ucWHtkr/X 7cJqkcdb7BsQzIX9h1f+nfeiGVVmjv36EMKFOW2bq5dH/kIr8nbsGA7jwhfd le3VgS0oufRZreFTLqh1iH7zfd+Kmpu8ZdYncCHbZi46F9CO1EV13qRnc+H6 f+3Lfw11oTti92b3vudCfoyf82GjbvRd4oPB6nwuhHtEXRXP70bnpHaNu3/g QvHuxONnPHrQkx0rmdwKLljfPGngT/WidlXdIJfPXDiXvuBSJqcPbdP06U76 ygV2iknOWHgfKuFM+UjUcGG9ZbleIvSjoZOt1Q1N9H76rzbI2PEQnFm1SbyF C4kF7hUm2Tx0/6yeM2rjwvszhim3p3lI7kqx1PMuWj/VpEjXmwPootO/i3U9 XLj97nw6KhxAOa6qhfP6uXDLh91Y/28A6d5JsLQVcCGi7v5u58t8FHG/LfPp IBf+mNd/dIzjo96A1Quq/nBhISRLqTXwkUe4b7LqKBfm0zFsWF2AKqM/Cp0f 50LP3zuRPCsBWhE3rRc+yYUrzT15wYECZPZK7cXnf1yolcz98TdHgJLfXB6d meHChJNo60yrAP0Pdc3IXw== "]]}, Annotation[#, "Charting`Private`Tag$5963#1"]& ], TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], LineBox[CompressedData[" 1:eJwUmnc01f8fxxEyG/aq7JXsvd4vJTO+LbNQCEmRFJGMFJUUCSFUWtKgEpI3 ysyObNn73o8t+/f53X/ueZ73eo33fZ/H85wr4ux99AwdDQ3NdwYamv9/i95f f562O0f/A2WT/BDoK5PMnvMe99GwzKoLM6lLA95nSnuko6+X4j5IrBHoofrQ SfaYVyj6rMV2qyUCVShedGf0+IDGeE/VJU4T6Br3Zv5mxifUG/byCHWUQAlx B/XX7n1F10+lidj1EOjD9ugf/wK/oUf8Tn3tjQSqim42WXDHyIR63/JCGYGm I9hGA7JKEbfzSTOBXAIF//ggs5TxA813ujX0pBOIhe6Y1+XEcuQaVLBYcJfc Hxbfz92rRMc0vix+uEwgsZDHMxcjqlGL+KZoqQOBPn7XVZ0O/IV6mb2mqAcI VK19o2DKvQGNmJx9+5KFQG91Oa+rfWhEmKmUU3WSima6XNP9spqQifujjaFq KrouwDQwm/Eb2UvEBheEUdHPArstyqktaEKPONtvT0Usdm/FLya2ok7f+Sg1 ZSpKTLR0J+61IT3TPUZeXRTUq54RJX+7HcXRFu06/o6CxP/MvDkf0YGOhj5J 9g2moI9cj6YmA7vQ6YLdUk58FFQT23VxzP0vynsQNmOhNYWikhKqHyr1IU/1 K4kG65NIzgPZq3zoQ4z1jsM38STy3Rob5JvVjwQjjX22o0m0cVC1eDpjEDk+ ynocLzuBnnL3WD7YPYSY87t3B/WPI8Phm38VUoeQ7vHwmuaEcXQ3oo3GO3EY lfTwvRpdG0N8PwIPUO6Nou4DXVx7v46ib3FiLdGsY2iPU2/ZLudR5Ohc6yp3 e4zMK4XrNesoyqTdfetcxDjaftfpTpL9CFKC0qrxwEmkfEQlO2RsCJl932o5 4k6g72NhTU7V/Uhp03mBh7wnz1U/Gd626UfRwk71YrrTKGiPbWrAUB/ycy68 fPznNGLrMtN/uPAXGY74/PzSMoNCRvuVdVW70QCl53TAwhzaFN/ao2TdgoTX v6auq/9Dg8uufIkn3iGutDPT3EH/kMfuS8rKXZmICXEayuN/aNruHuer3CRE hF6YdDReRt6l0bGFOeG4mF5Cu8RmBVUpBmo+svmEHdji2sID1pA3P2tISXgN rmNXZ6Z3oAEpkZmXEagHN5tzJNVfo4EPMYfFfgv34vbbVMnHqTRwtOlXx0Ga v3iI4ZWhfDcNuFEvBHw82YfX1nlDbU/QgrkjfeFV5gFMpzu/TSyIFtrmmI7N XxzATIGNTyjJ5DhtQ6Z5xwDmXIz6Ft5JC5zr5gz+mYNYlrq8mG1HB/JxT/5w yA1jRbk/N/2v0gF9DmvbzzvDWN0zl2v/Y1IXe74WHRvG+0c8ldva6WAMcqtr 0kawXW/XeVrbLRC5fZBHaXUUOwrlr/3y3wIKPz7vfmE5hl3t4+8mJG6BogNL hx5njGGfP4fe7G3bAiv8O9coaBxH1X8fsrKmh4fWv7eXnpvAMWzJl4Sv0MM1 jUSO97kTON7sCt3kI3poX68MXFiawOkV8sKhrfTQcSAlODx4EmfSs34wW6CH cw77u/D3SZy1f1SPm5sBwl/3ixuvTeK84vQTWccZYGdskoy43xQuWgua8PNj gDN+nSG+76ZwmbbtVRTPAG1tPf9Wh6Zwfd6OxJbfDMBcqvMt15KCh9+HNW8c ZYTHTYfvWbNR8cSUw+lqX0bQ84ID4hpUPC2rPf0wjhFcLvY1c52i4rWXs+wy zYzATlMefjybiumG61PnZhjB/dgsNa2BipnE3u4t3rkV/CYna+lmqJgr3cX0 2JGtoFF4EG+TJ7BAD2rfdXErfLqfvv2TKYGFBYXcxx5shVnHedOzLgSWtPu3 kPtxK+So6rYrBBF4b2JLRHDjVliKozvAEEtgxdaPnCbTW0EkOVhpLJPA6pz3 nnHsYILXFs/PtuURWPfIWaUeBSYwndNtbKog8P77B0te/ccE5+/+8/jTQuBQ s89vmi8wgXRmUGZ2H4GLGcQert9jAneWza3pEwReK4m9Jv2OCUQNbq9lzxJY +xqN27FaJuBL7tj65x+BAzS8/7s+yQS2l71r+dcJnDfbo/mGhRmCa+8zB2wS eP7dIdEWGWYQZzZNmSa1ytlvrJsmzBAieTnwxgaBfcVlF2Q8mKFlV2GR4iqB P/5N6j0eyQzjT6Li/y0QmJq8tSrkJTOcZ+c/0kUlsJz1lZyscma43e7m2DFM YM+dw8mtQ8wwwyx7cK6TwK9rj0XQ0LPAZ4WGLJl6Ao9Elp3fK8YCl6LPHwnG BBY/oGRjvZ8Fzjz6xku8J7DzRjqEnWYB2mLa5ZBUAmcUbJPNDmWBpVhWdqUo Avf6BXO2pbOA+27eqC2+BBZSnFqjxSxw8m1Z4T87AttP2o/I9bLAzYp/OzmA wEkvqxts1lngSkYnzxFxAnPvevXsnQ4rVKy96TQapeLj7dzR7fasoDS3Q5O2 gorjHkZc3hLICtbP/oaMPaPibSzOJnb5rLBGw6VnZEPFh8oblSLaWEFD5LJ8 qTwV3wlFgh8WWeHkr2laX3oqZlwSotKrsYEk57RvSBYFG+bebVM4zgYtnh/P 9AdScPj5lRL7S2zwqf7T0A1TCt4YbHv4MYcN2gcWrRP6p/BSY5zWSXl2mO04 6Gu6PonVo2nFIi3YQSW9+uLWkknsZ+zDluvFDpweOkg4bBJPf7f4u/UtO4j+ yTa+uDGBx7KYbn6S2gaXHtrd2hwex5Ju/hd6jbaBf5dxEW3qOHYVGbFhdtsG s3uE9EMOj+O+xB+yTpnbQDj8ufjG5zHcEXG9kUVkO7SdaXKJ8RrFZxRW2JXY d0BE9Ivv1slD+FBX5Au+3TtAuBDHSCgPYdVIbj0ahR1gblOUfbdqENP/VfRq OLwDWvfJn9KZGcDPYtxrzsfvAErOj/415X78l9JyK0twJ3Csv7kyut6J7bI/ bIrJcsDEy+3e7xvKMdjqJbLqcIBcxxG9sYIfWJr+l/ycOQfIx89+K31Wiv+d GHEoO88BWeaC3s39hTiBdVfRqRwOkK53iohly8S/Pe8EPNHkBOmHdFeC8Vdk IXNmhseYCyZt+CplHP+glbuXv/VYc4Gu9ujgimkbek29eTPTjQt+Hd1ScFq1 HdF/fsmvfIsLMke+v/lK34kK9ccMLMq5IGFvwYvV2B4kefxc3I0D3JD1pefM VZkB1JIXdNLsGDekFTiItT4YQGH80ZI7Xbjh67Ngjh1LA6i7N7swLZwbZuzP F7OUDKKHZ6kDBaXcQCSe6zp7YBjRhFxUmUY84PtK0vcHyxh63x+2nvcfD6Bf bc+OOoyhE4ZxlcFOPPBmObPR7f0YymP+dII1hAcuB4/eZDk0jrzi529IFvNA Zbyw8je/CSSwRG9JqeOB+feekZTCCVRpx833uYcHHAKF2EM3J5DoHvVsg3Ue uN1ynu/LjUnU8ca/5aQuL6Cv99un/afQLbaoNLFDvPDkv5tvv3ycQqreSR4T J3iBz19PqWh0Cj1QLVjzD+KFjMseO8IOU5B+YnWF/l1eePCJm00rnIImlzse MKTwQpe1w6ZELgUZ4RXxh4W84JLzZf9DNiqaF2El7Gp4oa9ZkGubBhU9jRAs EO7khV2vhfpynahozVTX4v0yLzA5vXzu85aKsrIP8V5m5oPfQ4s0N+upyGa7 Q78OPx/Ub+SLFxJUlNsSfLlakw/CuW/VXJcj0Oubrs4Dpnzw5+fh2f1mBEpT N/9v1Z4PUpx4fH+dIVD8qJIulxcfpHY3HeUJIdCdJD6ZfcF88IbuQoVIAoFC TTe5jWL44KXziNRUFoGurAzTOaXzga3LmdVL3wnk9baW8P/IB3Unnahf6wjk cvJT94NSPrhUmtWW10Uge/bk6jfNfLDr2KOv3iQfHy4OzSsb5IOrzotf+0ku MvJ2f941zwdvefXl2P4RSFfY8sE8Az+MloXFUkn+Vm5SDWbn5QdD1ZsxUSSf S4cLekpK8wOtQOlcB6l3q9DZIC1+aHd1+zawTiCuobEDtmb8IJLryPx8meTn Rw2KF0/ww5dvpnsF5whEY5S3644XP/ys808ynyDQ4mIqy/NgfmA90D+j+pdA U69uLH2L4YeFrYJ07U0EGrD1HGpJ54dICZPvaiSvtzMfaaJ85AdBKyaD/z4S qL5Qo5ixjB/E01xaJFIJVH5u99s9v/nBfzN3tPAmgYqEGJI0h/gBS9zi2nGe QLl1kxFHFvhhWfHWLqmjZH+uN1/0ZBSAnXetqLRqZH8UChxv8ArAUpNXyjNu sj996eap0gIQ1zZ/mnWeiu7E3tL8oiUAboVPXuk3UtGVuWMcoycE4KHHux3b w6nIK1N7c9NLAM46h1bl2FCRs5XIFN91AfjxYkRKdi8VWX6llptlCMC3L5OF r39RkKFHa65LjgBYLTrjL0kUpM1flH6tTAA6Bp6yvXShIKmg21ffDwnA3Lmz dWhuCu2W83GrXBCAuwLeRjNfpxBXj/WxPkZB+MaWyZEQOIVokPg+DhlBaLgb bfFreRK10+G+y+cFgYt9/J973wSq//SiLua6INi/h/fqjybQT9fowlf3BcG9 1PjbHpMJlFNhF9+RIwhJQbo0Nq/H0Z0788Z6i4Lw7mZ90trRMaTDIfuBPkQI MnQrvz21Hkb1tPbVdfeFQHBUfLxlZgidmrk9mJAhBKGRQYaJd4dQROM4r0yZ EDDL3MDDhYOoPuZNqAXDLnAqosnzYx5Ap1hljibc3QV6fejFckc3iqCXXpBK 2g20lxvZtwnWIJ55m+0zr3dDDr20ihVbFXo9GClTWLAbOu/9/Tu/Wo7qykYd DnXtBqYjp8wb/pQinrBXFT6790CRzm+ZvvVc9GZdMqkgcw886803zRV8h91X 4568sBWGm592vinmasHxllM/rp4SBrGAtns0dK245OnBCQsPYcCxt2JpqK2Y z+Sf+qK/MNQv99+mK2vDVfEOjUaJwvD7iW9/pG0XlpGX3jLWKgz5bhI2Hfz9 2DosTKaoRxiGl9w+qd7ox+Etnf89GBaG96cii25M9uPOwHupmgvCEM5DSxnM H8B3KmfVbnOJgFnnMh+d0RCePPXdQ/aYCAxlt3GmiI9ivs889zfsRaDYSjLR M3AUG271+dLsLAJKoUlOzfWjOPWdKF2QrwisWXzPsL40hg+tRKb8ihUB70t0 /W+yxnGARX9p+mMRCC5KWMidH8eZGdpjl56KQD8etZXXm8BrRhRVoRwRSD4a V+1ZPYHfPTxa79UoApqax1pv1U/izpG389AuApEq7HrvWacwozaDIHefCDjM JlKljKewY99X9++ECNz2XmClL5jCd1R2xsQuiUCqre4rJ2IK593y/HxmUwQ8 f2ZObopR8LZ9u2i3bReFuBCDGdooCtYOvSI1wCMK8+WSeQ5fKdjtd4NF3m5R WFWe3Ds7RMHFV8OTHeVF4dULmpOF2iRv13aVKKuLgrvjytyYMxXzCKuNMuqL grzlpX8Hb1Oxd8WoygcLUfjTkKMS3kjFJZB9Ts5aFDj3vGdin6fiHd98nr9x FAXmz5HqntwEPqWm1iXpLgptJjKuiaokX35Y5sj0FoXtkSNOcUcITCNbbCYS IAp1Mc/32HkR+EhmeHhaqCisfV4uGY8g8LPdxoWCt0VB64rd7f0pBJ5NYp1N ihWF9RSZkdMfSJ7mbJThSRaF2thBL6NSAj+8F3/64TNR8BuT66I2Enhoq93j HW9FIZSBymPfS2DV8F1N9z6Jgsf6GfnIcQJHrPUzsRaJAk2iju1lkq9br7yE qJ+iMH7l7pzYMsn/M54BDHWiIOI7FxlH8vWVcwofw1vJfBhTyktInq4Ynhvd 7CHnr2jefE9q3lP5e4JHROHlHp6qE+R8j85rNitUUcjVZs+vInk9/7jBff8l sh+cUa8WZgjM1MBQOb8pCq2vr+4cHCOwrWnNxkUmMdC8afU4tofk6R8x6sQO McD76VnpyHyW9Y5d8OIXg30KrfZqJQQ2y+d9OS4iBosC51/IkTydrNzd4yYr BgJHchXGHxN4IjuDe0hZDCoKvrh53SD9g9QZi9M6YmAt8/jvV08C33kqc7P3 gBhc7/G1qfuPwF2C1KITh8Tgmaz8p/fKBL62w1/O2kEMpCsO+/SQ/qn2jo7r 7zNiMMzjf1qhnop3MdCkHr4gBhZtWVbWr6m4eDmK1TyE3G/mHre8NcnTfhYH qiLFgLfp1JshGSp2ou4MOviAXE8r3Bi0SsE0g8kT6KkY9I61s9klUfBhByfR 72/E4MvjdiHyfcZP28TstXPFQKPv6Kd+OQreX5tdrfpDjLxf3ltUyd/DjS/F r2WGxaB7rlSisGAStyjc6HtJEYO5qBEbwm8Si2cZ84kvikFJF/SryU/in2mN kbu3isO90q/0rCkTmDFqwI1TRhz+dNIePes4ju/YM0qse4mDdcTsv80HI1hf kW1x3E8cnofaxHqoj+AZBo7KP9fEgUPiMmlph7Ftzq6zH6PFoegV75no3cNY gkntnUu2ODyqd644lTiIS764qNVMioPzzgDjucN9eHFH6cFETwmINNyxh0m8 GWeNVPBE+EqA6rUbuSaKTdihqHbUJ1AC9CvjXIJ0GvFP9/bbZnckwKGCM3Dk SS2OLSbq1t9IwID58uc3bT+xnNdua9dxCRjs+j2map2JXSqD3JQ8JEHgVsNO Z68a5KorabnoLQmKweeFBY7WIrecRrVv/pLQsHy6VVK9HnmkSDAcjJSE7gFT Hre1RnTBu+G57UtJMI/TOpaY24ICecX6Q4YkIf+KqCFtfxe6Fl1XZTglCUzM O3sXcDcKpg34yDwvCd4CqZmaT3pQ6GRtyMMtUqCk0vXS7+hfdAtf2f1KVApu JJxfUzjWj+Lca07UnyK1V7hckt8Qiu/2O/DQQwocnUQa438PoUdH9uy19ZGC mb3TCjZKwyhJx2+lP0QKdrNXCvKOD6O07bsfL6RJgUe5XwrFZBRlRFSFFr6U gusBAklhT0bR02Vfj5D3UuB9jlU3Z3oUZQ5WajAXS8Eec/7ZhrgxlPX14h+h Hil4+EeEP7J8HGXLCRX3D0nBv0rJ0kvbJtC7pxUvXk5Jwbqprnab1QT6eFfw suKaFCRS+Qdm/k6gPKdyTkNBafiv/MhWxv5JlN/ivcokJg36TC2PNHdNoQJT gcE6WWnI/vt0rMxmChWpeOfaaEtDIvekZFPlFCrdyn/knJ00aNQ7vbr6kIJG nsubdZyWhnsmXE7T5RTEBoYHjD2l4VO0orL1IgXZBniriQVJQ9tsUl//YSq6 znVTPvaGNJyu8b5EG0RFmR+TpTbvkusvqcRueU5FxFg5f1eqNLx8fyEgc4qK uG52cZi+kIY7exck9LcRSFtkhvXrO2mw4+iX/LiPQKe+MzJI5EnDnozHh/6R /HzLTmgjrlgaIuvnY7jcCJS9oLREUykNbF4n2LaQ/Nwcazx9oUEa1m9NMJc9 ItC/fQ7j3W3SsCgdN/cfyc+7anwHzPqk4dkppZNviwi03y2qK39MGmYSP6w3 1xLIgy6tRXJGGrpVOQvKOwkUk/apLn5ZGrRvPEoIHyHQZ+3qCjo6GTAe+VTO RPJz559e7MMiA08P6z+xWSL59tJ8fi+HDBTRuqRcIPlZcjtL7iFBGdgS9fWM BcnL5m/3vC0Uk4E1RlQ9R2ofY7VMaTkZYC09X3h6g0AJg2ZPElRlIHJIxipx heTXkFMJ9HoyIJFa3R0/T/Kw4JX7vgdl4JfztiL7KQIx5d+N6rOQAdGUXTfH +wkkf/xpmKW1DFw+d2XGoJVAx6fzAoscZSCsd6jftYJAV6NrL8m6y4Csma/j sS8k70oPeCV5ywDf+tGEbc8I9PPn0hnGABlIVG36mxhNoIlT7E5+oTIgdlIt f9qPQDvWRW0HomTAKOntD4ETBFJ/rHnkcKwMpKZJ1vEiAp1UszQrfiwDbD2o YlyYQK/OX9VNzpKBtkDRbdy9VFTLfF+N6ZMMxCoL0VwqoKLZF5nyV77JQMvF MqkPcVSk39sgfLRWBi65HKCp06ci18Bh/pIWGdgw1b7xeSfJ3zyrHPI9MsBS +P7vzQEKarWUZGChykBmULDzXDAFrUzobPgvyoAwo+eNBBMKEo48sjS8IQMK D6/5Ku2kIC98bbx0uyzsvc2OHFOn0BbF33VXlWQhn9F7fmvKJJKuHasY1ZIF 4wnpiW6rSWTpsYGt9stCS7inae22SZScIZOrdEwWRAWC9mwLmkBKO0MTxv1k 4U7TWcePeuOokKlNuvKaLHjkf+yLI8bQfhr5b5kRsrDk3JM/lz6GjhNdf53i ZcHOMh8fWBtFV+o0ZP58koVc5VmfN89HUNFt4lvZrCw0ChPTqrmD6GCYkWXG iiw0pR5SuWBJ8nPAk75gur2Q0f6u+9r4APrrbs6gxbEXXtmsdSoLDSA6o1eW H5T2QsHE1N2Pfn3IhM6pP8VnL+QHmNkgogM1LX+5dDVgL1TsaUCOTB3IfoaN 0SZ0L8za4Y3lPe3oXF+hLMeDvbB2/gTqM/uDYop5/KI+7IVypGe0+KAZtQTW M16m7oWBf6YZ863l6NScnpyllxw0/7xJp8XwCbNz0DS2+MkBe3A5TZ3hV1yo WHbpRLActJ9XkigM/4a5Lhh984iRAx86rj9qa6W4aszS7MZHOXjtYZvqcroG K/Y6eeTPy0F9wI85fddW3LMmwobW5eDxotTWJ65/8B3BoQ/lDPvgP5Yfsq4u bXjI1mOpmWcfPHxMc3b4RAdO+u1zi6K5D67E7theqt6DaarDMkWD90HdC7Ue h/0D+N3oAZM3N/fBvrrpr99zBrA9I+OUQsw+mAse6ajeM4g/H7ijope+D6IP tNVWLg1ij+K4MpvSfSBQIjl0M2EYc/ccd+utJs/71VrluzKMy1Z5WM4074Nd PluMG0+OYCGtlCO+g/uAluOufqnQKG789LwvmkEejni+/VUcNYaDm89EcG6T h5BOW89Lf8ew7IyUdDKPPAjsfcvkqjqOI+SzvV9JyUNHZpBRf/s41nzzeaPU VB54avxY3rJO4uHKK89MjsqDQ+M8a9qxSRw3omnUYC8PmbJllzMeT+Ipse/3 us/JQ/Xg0E+8Zwo/TSsXWronD/qynjQjnBScelKuzSpBHs4dqNhsMKPgJIGH sZ/T5MHMWm45P4SCYxJOMfp+kIegsfLwq4MUfPt4ZUnjV3nY8t8kMuOg4ggO +SCFEnm4sOXKETZExYExq8RUI3k+p4e1bRwVXz7knGXeIQ870VxCdz6VfBur XbP65YFL8n6FUQ8Vn6tS2MM8IQ+hR/zd4zep2O1WQof7rDycShoQ/rGHwKcN 1x9WrJDrteVwox6BT9K5WkpsUQDK+RWVb3YEtimpYYpgVYCyM84JoZcIfPS6 0o8BTgXIL2EW23OXwBa6ScEGQgpg6nVQ91EGgU1WNjQyxBVAf0bNs/8TgQ/k n5ndkFOAHNl+e7pyAutfqc12UFMA5zOmA4u/CaylquJepKcAJcNhK9/7SB6f fSwiaESu/13yw3qSwIofabqvWirAj8gLESVzBN57wT2h3VoBePcrv1n5P4/L 1R/WcFKAWO21n/QbBBadUGVNcFcASX722F6Sv3e9Timf91aAa7UrU5Gk5nOj Cz0WoACZpbm9NCSPc4qf1c4NVYAD167GmZI8vm2gYX7HbQUwuz9q70zyOHOG +gfvWAU4sTj40ZzkcXrHJ2frHyuAVWOKCiPJ45uC9OL7nilASJD/67gGAq90 ePbezVIAWS721RlM4IXEpqSJXAVItd6hJ0Hy+LSV5jHTbwoQNIxe7ksm8CRn OvvrHwowtvBfPBvpb0aaGKoYaxWg0rn5zo9zBO62+K37s1sB3lhInywh/VIb q/aS6LAC3FUOWGHmIXBzdUZOGIXM12ZGSmWBiqsOXpBEGwpgncpydN87Kh4I 85y23KIIb85w6G65RcV/+55YXN+qCDv8iu6XnaTizjR6pp7titDWaTXARE/F 7esaZ9i4FOFFo8rcoxYKbj15rkyHTxEGFyVj+Z5TcKNA87VkYUVgs+8WZdOm 4PqrDJ3V4ooAZd5GEXQU/KtdU2NZWhFWm3WtaaqncEVC+oyNkiLw1pgLcB2e wj8Xmi0j1RShd58r1+cdU7j0OGN2npYi6BxpvunRMImLOM67ce9XhJ0aR+qF jSfxpxjtruajipAfd3HvceEJ7JyyjaHQWhHiYy7+9W4bxxyvB+Sf2isCe18W lfbeOPYpvRPu7awIwnyclOS5MSw33ynD5qsINTsCt4t+GMWZdkEBB2MVwX9L gHbn4BA+5vbfM7lHinAxUrU0PWII010Sq+V8rAjcs12FcuJD+FT0rz0DGYrQ wEy/7bPTIBbCgpXXP5L1+2N8eFd1P44XL+LOb1CE1hGZk36t3fiA0gOU/lsR KmW4Vh8vdOFZPdezt9oUwabOJ5ebqwsftmH7fvyvIjgvqSkePNSB2e6cdJ2h KoKhsTwt3dtWHEGs5cpuU4IsWq/dZidrsV+h3uEnh5QgwZn+VT7tI/TFvpKu 47ASSIYXIqulZ2hx5fAXLislWH1ZZBno9RZd1XEViHZQgo3/OJzUpPPQ9aI7 Q4EXlCBvzJwxMegHiixuC7B9oATaYixPRjebUJXj6b3x8Uqg/uyxL2z5jVg2 J3oakpTAcMHxkSFDC4pGG/uNnyqB7XLME0aGP+hBiTi7eq4StOUJB16f6UDJ ZRefcrYowS8mp4AbX/tQl/Pqsf/alYB1eDrygmw/Etpyk/FutxJ83fRal0jt R2kHks7RDSuBeKWeXWfQAHr+s1htZkEJdLemh4XsHUJDriZjcitK0OL2q3Pu 4RCSZGhO9tgg6+HW6Le0MoReHxze/MuoDGpbu9/d/zmMsitYa+p5lUE6N20A Do4iitujayxCyrAsWILOPR1F8lv3KBgJK8O5aG1Z6uooyjFWjv8urQxPvz09 P/R2DOVV2TpmaykDxXqocmxxHC15DOwY01MG85nv3XIHJ5Ams9cPsf3KcHUh Tyk5dgIVmoZIp5iR+79Ts+kSn0S45sXs7RPKUFslzO6pOoVy+RovBjspg3dz P7Ox9xTKdFuZ9nFRhjNSh/Z4vJ5Cd+j+I2zOKUPzKIE9uCno2uGrF8y9lWHO 79oLA1MK8k57TtG/pAzXrUtsjwRR0HHtf5MSQcow8v3MNuZOCjKOEj3HH6IM Vk2CZm8ZqUj7z6EJthvKoBQaXRGgREV7fJ+Ozd1Rhui3kfvuhlERR8kv99EY ZfhziUX910sqot+2ONIZpwyf30R8k6uhook3ZsOlycogUm5ZYM5KoO4lP9cv aWQ96TY0GWQI1HAwffD1M2Wos39q2G5IoLKH1c6pL8l6XGmX+eFI8nn/XP/9 LLIeWVuP/7xC8qfC7tM33isD2xufQ50kzyYHm/RdyVWGEGvTwi1PCRT9y9fJ M08ZeloandEnAoXwP+l1KFQG7U/OMtE/COTrXulwpFgZvplGbR9vIpDrl5lu wzJlkNNnUrPqJZDNFqGTmhXK4K8439YwRiCzI0Zde2uUgT/m83HbGQLppvvY 76lXhp3RHJJU0h8oUJI7OJqVIcoIhh+Q/kBUp9yW8Y8y5DH8NQXSD3DdJtqW O5Th46stsmukZmzjt6H0kPnKawX+JP3Bsrjhn75+ZYjwC7N4vEqgKd8LVi3D ypBDc7w1cJFAvSVJLZXjymDDkHL6LEGgpm0/jn2jKANTyPtTZ0j/8vMkpfn9 jDJYBlo4eXcRKC+L9+izBWXwuv6IKaqeQG/+GTQ9WlaGjV3/JD5iAqUaeR2+ va4MWu/l08fek34oPqHhGq0KnJaQC1ROJVDYQImlD4MKHBdh74qJJJCf4mSd C7MKnOVlpN/0IZDbdW4LG3YVOPr+P6sIWwLZ1aJas50q4HZgp4WwPoH0PeJr lPhV4Ev1l+/PthBIKa/YVGKXCqwp5VVGD1KROP14FZ+ICjxrU0qOL6Ui5gy9 yk1pFXD6vXuTIYCK1ijuRnNyKiB1eJDdj/SfVJ248hFFFZg4fKOHSYqKWtpG ftRpkrrcd/FjPQVVSOw8UKqrAi+WJp5Vp1NQwSWdss+gAtHsun84vSmkf39Q kmKiAl/HpBpMmCjorLHW97O2KnBfrGfHfYkpRJXmL885qQKhMVKKpwYnkS/L cu3yKRWIS68XVk6fRNfq8rtvn1UB+o0jIlM7JtGDY5prbwJV4MPjD5JmPeOI W42Pfva6CjSYWlrl3h1HyTz/WLVvqICjtfZBI81x9Lzjq2DNXRW4sHHtAnM0 +R44aehMpKqALJVdOXv3KNIx4D2g/FQFXi14VAnjEVQiumQW+EIFqiJiLsw7 jKDq4Tx7lvcqMBir2t2SMIy6z6kHymIVEJvhkjVcHER0AWoFnv0q8DvoBPdN 3z4UacddmjusAqIPTwq1/PuL2HQWqlbGVWCuPpL+OMtfxL3xuf3OrAr4mBQp FEr2IOkI1X9ZW1SBPyW9fatxB/rvgYrGpIQqjCk6M55Ua0Kpr5W+nPNUhW0b S73E1kuoqsOlKv2CKsg+OToQKBSF51kSun77qsIbf6eOpz2p2Pz8Cq1ukCqI eW70P9f+gFeUfliyRZP7j3/fPSdXgu2+HR/LfqcKkX+j7NysGnHE1K3VvhxV GKoRNyJsm/DHXQXbuPNU4RBzX+7BE82YKXSXWnCxKhz7GdHEebIF5xuOhFk0 qAKflsgH40PtmKfeX5A6rQrpX43c19r+4v2bb+RFF1RBDzNn7TrVhy8odhtY L6vC4TvltYK/+3BFHHgU06pB88E2r/gv/fiyDfOXGA41mBX7wpx2bhBnROlU lfGowTa/8UMdrYO4tuB816KAGtSpMgnm6Q9hcaFmWicxNdAdLwjWYBvGLX3J lgqqavBQqnQk/tEIpuGoO+2iqQYpy7RneOdHsNyBTb9EXTW4cyzWmv7IKL7x wiVl01ANWqQ+MNEzjmFlT7mxBis14KiskaOeGMeOKY6rW+zVwHpNm4n33Ti+ U/tgm6ajGiRE7dMNXBvHA/ILqhluavCU+DLQ8WgCx859D/PxV4PsHdxPvXIn 8YXmB6dPBqnBBdaUGJ/pSXwox8XAJEQNBvU9eirkpjCjNzOtcKQaVOE3Wicz pvCQRXcf6101uNX3yyq+jeQluQ8lSzFqsP50dXoHOwVfmzge2pCgBi//XR+u 8aVgu2qpU9+S1aDwdbwoHclr6q9X0Ks0NSgST355sYmCZ85kbF5/qQaOa21X qNJUXG946a9nlhoIpZWHLR6h4mwxI2z9Xg0y3ByPyF0l/UL/5HX5PDX4JLRK 5S2jYsOSYkeBQjUIoPt8onqQikXSY/UZi9XA3K68Jn0LgTeCXXfPlpL1PZR2 9LEIya8nNTZ6ytVA1u6Y5GfSXxTosPRWV6vBzbWCR1QbAicI9Hz/UqcG8Vnh 7MY+BPZb/vDkaZMaKG89wlt0i8BH2sOD77WqwSvnZrtDKQSW/2rlcLVDDWr9 m5MW3xGYLUFa70wP2W9Pyy8FxQQe91sVOtKvBs+33HoXX0fgimP1a7rDanBA gfXJrU4CZyo/7ZYeV4PLuQ1FMcMEDtvpV8RFUYMwESWXbCqBHaeNUmlm1EB8 xxb6vwsE1m3gvzY1rwb/riUqSq4SmP/91In2f2pwwr88MYz0G4vRWOfnmhpc 2aQwzJD+ouVcnOBHGnVY3bPp6kfqHLMzqyn06nDP4HIRK+k3YmQ0uyKZ1CH5 q73SV9JveDGxfrvEpg71tw4y+s8S2HS0J9lphzqonzmWYj5B+puKj4HmXOqg PS92QY30R/Qvbthr8KkDVbWJX62FwP03rLXFhNRhl8aItXkFgYudZQS2C6vD jS3HVwPyCJxqsLa8IqYO28tcV4ozCXxVuKFjREodBoTeue6OJbD15tOC5r3q 8KNv1T0piMA7vxtfzVIh49tICe83IzA1RcAuQUMd5L7SRn5SIHBtIEUzXEcd nBLPbrzgIPAtzYf/7A6ow7ALxWGumYpded3aDxqrg33UDf6jH6nYYFEzX8lc HSK9W6ntd6l47VOvP/MxdUjqNa5w16PijrgcmwVrdVj2SLnux0nFeRcjNPrt 1eGgcVVR7igFX1SQXcp3VocHjz+erb9DwSNZl694+KpD0wuNvuZvU9h610bv 6yvqEJ7Os4d6fQqX379lPB6oDhwHXU0ZYQpn+iXyed5Qh+KQBBNUNImd9QsK z8Wrw3k+biG7JxO4+aOBWHYS2R+Zpb9/D09gA7Gau1Op6oAkQxbv0E1gYaau k+dfqAOzvclJ11PjuLdpbeNCnjr8yYxeqyDfB0vDm+4fCtWBdkHZjiN7FH/P Y28kitXh+laJ5pz/RnFqyu6nPpXqIBJUYbE1bgTbn4EDvu3qME+bcLBmyzBu /Xcj8vIKeV/MFGaXn/Zjw3Ns01821CEl1cTtt0I//twTb7tIpwGsaTmKV4r6 cFzZCxl/Vg0w1+oe9sn8iw9HV/4KENKAglfNP5T6u3DtHtYd1/Q1YOCaydJT mhb80yguKTxcAx54ahvNv8/Cw27f6gJvaQBPx6kn90ueYcbIIbpLdzTg9wmN OcZnj7BJpfp5lzgNeHqLQ+ikfgSqNe4yMHymAdZnTc88dM1Fv03EJxnKNEDj m8WKyFQVmvewEN4o14Ang+XZBT01JE9dsVqs1oDbAbosWXW1yLq6ivS0GuD7 e9KF/Xgj6jQ9H1/ZT46/svFeFGlBA2Z5erdpNaFhvTLt5fUutOXcX98wBk14 qRrvqebSjcTvMr2+yqwJFSt6Y/RGPcjtlz2H505NKPJj15dn/IsmzDdHzEQ0 Icws0+KRRj+aPWTygM1AExKUhG4KeA0hzvMXy+kPasIzlZjeA3VDSPVe8sqa iSYs9R24KLFvGF2pm3KlHNYE5t+V35bHhtGKRaxW/SlN0LNyrjI6PIpo/+sc uB+qCaa9CYyF7eOoqthKzC9CE+QY36eeFplAD+SbXGyjNEHD8VFAsMcEEt5W NST8QBPiA8cO0s5OIKj7MpKTrglrv+5ZVM9MIiY9JamE55rwe+/XW8/2TaHG 7Gz3wFea8KtXk67JfQqdin4+tv+DJgjb6HILt02hUPPYid/FmpBSypos95SC TL6x7c0v04QNbnUJqwYK2rE36lxqhSakW/3TLVyloAyWkCnXek3gul7/VuE/ KvIIXJEzbdYE6YMLHDpXqEhx4vL5fX/IfK6KS11NoaKSai/qQo8m7ORZfRrR R0VRWmPynf2aEKm1OWtBQ6DDb1y8i4fJ9YJbKgx2E4iP/++HZ+OacPO9p5Wj NoH6ouynb1HIfvUHLj09TqDX/1oVz81owvla392s5wnk43Hk4n8LmnBI87lt 0g0CabbX5qgsa8LY9YjDJkkEojExmeVd14SjxTW1/G8JVPX1h/IajRbknQ74 yFpEoAdS6FIfvRYcWaeuCP0ikG1i4aefTFpQe22j8lA7gYS3qs+/ZtOChWez /yUPEmjsSo7qvR1aINGZNkpPIdDHEbnLF7m0IPa4B030PIECrF9/seLTgukg S2mFFQJBhdiilpAWLH2YYaauE4hJPV19t7AWmB1L8qoi/UDjCwF/OnEtuCWp rFpM6iTuhK8jUlpgPGN3uoGcf+rmzn81e7VgI8Bq59oygaQXojU/KGhBRjnn dUPyvGlXpqsPVbTA5LPMxuspAuW33Cjw19ACmvZaelky3lDDzeUTOuT617Ui VW0EMvkcqA1IC77S3aGNqCHQDvHFQPEDWnBsZsrL8RuB2h9e/MZkrAU8Dbam tlkEythCWZ0y04KLuWlJvokE8rjkodtkqQXR+6gB78MJpDg4eO3LUS2QP/VT nN2LQCVlnevB9lrgOchqralFoChla31nRy34ccG8Z+sust/Pmq4bOZP1SQ1V odmkor6wqs1tnlqw2pZ7w/c7Fb2eOQBz57XgseElx+nHVORzGoe2XdSCJtvL 1Wl+VERjkEebcVULWmuVIEGciuwNR2vag7XgrajYS4VFCvpszBe/M5ysH3/S 1k/lFORhGSh5444W6LFUO990pKCyI2+JbzFaMDkYerdLioKErLrz5+O0YC+X KrssMYWaTuibu6VoQf/EYeYS/ykk5+TNlZ6uBfozPC3btabQLeeMnrbnWhD2 dy3R498k0j5L52OarQWWZpoKxhcn0bMrFfFy37VA7rnKLnRoAq1dXXI4U6oF jbW0Oic3xpF1sLRUWrkWpN8tZc96P45YIu4UbK/XAq2sUjEq8zi6FGvZO9ur BVIZNQrf3o4iw+w/UgU02jD+Yv/joadDKO3D1pkZem34wfA5fVxrCP3L1SyU ZdaGs0x2krcaB1F2QfKh1J3aIL9kI/l8eQBxVzpeDBHVhkWx58dAtx+N9I8U HjTUhuP/hb9s4+xCUbxLFs2R2jA/8ui2GFMFiq+qGiy7qw2jt4vPFvD8ROlX k69+uq8NiWX3AnnFy1Bel96L+ERtMCpgPGHmX4SG0yPWrF+RV0rf4aXrzTdo vzTH264KbdjhduCndVEuXtPcxzTMoAMOl+vGR/hbMNPExpNWZh34RaMc+pap FXOmNKpUsOvAAa/OFJnFViy7fsnpFbcOuBx90MtX14btSgvzzkrowGzps9dq Z7twnqnJGaohOd7je0xcqh+XrfCv9proQEFB62W22H5c93byQcMhHfgX84s6 uNyPh9jvF308rgOPhgSjjKsGMGdzK+clVx24fvVJsorNEPaxdylbuqED78SS Fs5rjuJt6RN9ulE68Dl778yTR6M4e/DiZli0DjCty0/tmRnFo16humyPdOBH 4BJl89kYdgx5kif8Ugd2xc66hs2M47Uf4q1nsnTgjcFYbSxM4GSm7Lms9zrA aeT+4Me9CdwaW6io9lUHjn/Ks7wsSvJ5ZluWaZUOSHxJNg1VncITY47VMbU6 oLTzwX5mvykctW9k9HejDqDf7y7fzZnCP/LmxR07dCA2tlXGU5KCT60GHXje owOb6my2xQ4UvIG2OI/168Cy9UnB1TgK1q7eme47oQN+bPwOe5YouJ398fev VB1Iqcsp2JSg4itHhbvXZnWg/6y+R+FRKs7pkuePXNUBRoMg8dwXVGwpnKdR u6kDbQz+puO/qHjKVc96J70u0F45S1AJKpammj9MYdOFiVumz08okTys/Dun b4cuPNBxYCq2JLCrv32jBLcuzHxlejJ8lsB0Rf1UT35dKE1T8W0MJ3A6zVn2 j7t04bPcg9Jrj0kePji9d0FEF54+/EYZI/m787a/mbakLgSdOxHOWULggPoN jxBZXVDT0FRdbSAwD+etyJ/yupC/erw/rYfAn23YXzKr6ALL6JbY9TECH02N /2mpoQv2jP8u8ZD8O90nOPhQRxeSmI8PjZF8fE/iOW0H0oU4zrwzfiQ/y3rK Cu821IWSR/Ain+Trqvc5+i4muiCgkXH1C6nd5jQdXh8i55dvG/Qk59NrlgRR DpP5KR1j7SD3e3bNOFnZShf2JhQfpCHPg9L6fH87XTA2ktzeT8bTy2DdVuSg C05TnezXyHiDzHoWaJ11wfxj6s5mMh+++65cxm66UHcumnMIEzjv96RytCcZ /xS/+ieyHsf5Lh1puqALFQeIn0DWa/bkijfPJV2QkelQjSHr+eBpWMwJf13o OJct9oSst/wI07uMIF3QDpS29Sb7USv74NdwiC6kbvwpZST75enNOyEboQvW 8WMBZ3YSmOlzGpNPlC4UJm4rvkf29+U/Cakv0bpwn/PoShjZ//4wVVf0SBdk Q2jL269RsSTPthifx7qQUaUzx3aMij2zRr8+faILi8b39eWkqHi+OZmV/qUu uP4SdNCspmAtdz81tSxduNhq+3xvIgVfX7VwcnuvC7trD07xuFAwkzjtp6o8 XfC/cHVxcH4KW+R3di8X6oLZxn6TusIpHHfoM+NerAsMVnrfv5M8LnjZ3f5e pS64MA99/EkzheUr6miPtusCpz9f/AhlAl+yf7X3RrcuiFfH/b2ROYHzqaFW n/t0gcZFfvWQHcnjvKpveMZ1wVAx5Kz/93F83CP5cNeyLrjltPiU+4zhQBb3 dFdBPTBcHX91LmoY4zSofrRHDxrm3xzzEx/G9CoCcxViemDOKO/PjIfwvRN1 RjJyemASY8m7QAzijGwVKkVXD1JsnuUlGwzgSksaPX9HPejS2Ml+xqoHcz18 3Hn7qR6cC1ISbVD+hVlaOZt8X+jBMxRUsGhSjWl4YypPvNGDAw7NZSkOlZiS HP55X44ezI6KZPwO/4Ernp2LaSrRA8EvlstnQ7/igFy9/fx9elB9wGqObiUN 9TT1v3m9Wx/e5W3aqZ5oQi2cJzNiRfXB6nmaxh3zZlRj9SchUFIfKtjqXaq0 f6O8jpobh+T1wX+H/cOf3K3oQf8nh2k9ffgXyV+hWNSO9s/c3KnpoA8K9784 lBb/RZoqNEwip/Vh/YEFw13zPiR/OXCD+Yw+hL3N0ivK60OCyxcmu7z04ciU VxX/nX40T2NbHnJNH8xCP/zdKT6IXu6QvVqZog/n6g225+4ZQfIjdv/oM/Th 7In+itnQEfT1223//Zn60PCCZiStbwRVuY1f/p6tD1cEdRJ3p4yiiaLXvp++ 64P3iF8749oY8o1rn5ku1YfyhkUByn/jaNWd6aJ8hT48fOVpxPZsHLFxeni/ qdeHZ6+euvXCBNp3Vsor/a8+JBdxnNT0mER5+jaT3YP6IHg4M8n83STS54r0 FBjTh9Nu8trnpyeRJR7xeDRN6rTUuSqfKfQnnmeseV4fYry+b115N4WcPI3c dyzrw4LM7FWp8Snkw/3yzF1aBLv7DNfd7Cjo30TrUBUDiYV0B+UuxlBQWAmD KyMLAjPxtwvupRQUd+6McxgHgjPHeeXYRahIwOBRfzEPAlba0P7PFlT0nKf8 1JoAgoJ30WU6AVT0uVTcyV8MgaH9W52uCirSTTze+1kKwTynnCV1gorKvSIc ZvcimI6MDWtlI5Dl/s/dCooIWIr/84uRI9Af3qET51UR9CVvn+IxI5AjhbMr SxMBF/VPq9cZAo2UHbAf00WQV7TPKOY6gS4kXeqQMEBwoRyuXn1EoKXzz21d DiIY1aH9LUfyYuiB320ZpgjkCgz+viT5mol/i02vBQJBp8YjI7Ukb1OV/wge RbAsF8M40Uny/k9nKztrBFdu3KDNGSF583FcS4I9gj9/Zi5oTxNIxrvsWIsj gpF7zs9vLhEo13C2eacLgu9snwTj1gikLSB69D93BOcmdgU7kfxcRhxpij6H YPWwwSPK//+fUx52uMYbgV6kqL3uBoFaknMatvohUM+UnzAn+fykT7/lwQAE Al6a0UIkTw8d3Fkffg0BxfrSh/eTBDovaGBREooASs9N0vUTaHHap3Y9AsF1 47VN/hYCXa/IMNe5jeDhIWid/0kgxtTGmoB7COqzbwTFfyLQ/Ys0ZnmxCIzT FPaupJP5GitWzz1CwFby2VDqDpmv0CkTpWQEMXa+h3f5knw/e7/yQhoZT23y Ro8N6S8qsVH2MwQemtxS53QIVOq756DUWwRWqfZsc6tUtLJAPBD6gCDOcjjM pouKVK+WdO/8hKD59URUez7J0yGn/dYKEaj4Pe/UvEBFA3TKJTPFCH6I+OcJ GVGR0C06ttEyBCkuxQclhajoQfTz5001CH5StPs/l1FQzXY/oqIegZ9lkRt6 SEH0Dw11ipoR7Mmdi105TUEBj4ebX3YikA7fz7B9hfSXL6XorpG2lHfp8EdW 7imULPPP4iIVwSnn01OX2yZRS3bVY7dZBAZV04t7kyaRyaezSkdWyHxl5Xfc 5ZpEfH1WipwMAJp5p3SilsfR5lSi0xgXwKTI1XWPgFGUKh/KMMgD4NS/ZyFJ ZBRp+ni87eEDSHO8HOlYPYJ85zSXmoXI9TE8e0u4RtDIckfMd3GAQX6Ryasp Q6ieUag4ThVAZjRrD/V8P0oTzhDSOw7gjLsKb79qQdvuKFXtswbYo5LgPfTt NwqZK7u02xbgnemRrTwNzehUxXDN5gmAzer6F2qzjUjUa+/VMhcAyx2cm312 Nejl17xW40sASxw1YTpb8tB7y7qYo3EA/e+/7MbTP/DufEftA/EAkRtRF3Bn Ob4vMj2skgCw/bPM5ys/KrHPPIcedzKARe89vcQHv7Bysu1k21OAuFzTm3C3 CecNDxo75ACk5sV3ynW3Y8n/Ls9ZfAI4TozyHSzpwIn5jOn6XwC4ps4863jW iQPuyizuKQAYtpo/td+lG2sreWcOlJDxeXC4P2/4i79fW6HxaCTHN2QVSiUG 8eKHkenwZoBuCzE5lthBrDjY3PekBeCe+x3zfyuDONP0bcnvdoCJ1Xe5L2uG 8B2ek6Gonzzv9b+BCNsR/NPUxMd+EEB6v8Z2hfwRvH5N9dTlYYCGbKOrRjyj 2GeQDd6OAxy2l+N8XjeKrT9+3+SZBSjX3E3jKj2OHwy+IZTmASIokWuVgeO4 mifh76FFIP1RvInHr3GsG3wBh68AvObZmWzsPoFFzfaEUOkMICWJ9/1U1CQ+ GczqzcxgADd+h3Q+qZ3Ejz4uOYpvNYALrHYaztumMBNvo749qwHsvmp8niN6 ChODoRvlnAbw5xlb42NvCpbmPU/t4zYAUf7BJK/nFOxsZte7ymsAWyVmlpRa KfjPR6ViJSED2BfH0XJLmYp3DO16f2i3AdySTuvc7kjFprwsae7CBiBw5Oed 65FUXBQ8EPxE3ABi+l0e0rZQ8eLH+vP5kgbwoDc0fccSFSsMFTr8ljaAmYie ohVeAnvwvrKgyhrAXaW159/VSZ40e6jHvM8AGtvuqNgcI3B3cMg+cQUD6P4Z 5VN+nsDcOed2ISUyv29nbzHeIrDlkA27vYoByLmpV/KlEjiK13DdT80A8ndl vV35QOAyM0XKfQ0DaKOx/J1VSuDVYKGeLC0DqDsZSy/dRGDVHKa6ch0DkHH9 K3exl8AXhuaL+vQMwFw599TNcQK/5u3PXkUGkCrwvMuF5Nt+s7pUnv0GYLY/ gIZtmcAC1wuilQwNIOqGgl0wycfHc15cO2RkAEGPGRO/kvwcMxTr5W5iAN7x oXGFpK7kvX4y3MwAxh55mN8i59OYex56csgA9FqaxgTI/bSvW+vmWxrAxDBX QQB5nl/Ofrnfhw3g8/EapQwynvdD8kLUowawHFBGxJLxjvEKsjFbGUDZk5U8 SzIfEfOta2I2BuB14b5vG5mvauuBZgE7A1DLu5FzPofARk6hr3eeMAAuHYYO gXQC244XXWdyMACHLx1b+u6QfHxp+fimowEU3FHyLPYj8LV1tb2LpwzAeS3+ 9NeTBL4f6UtLcTaAsAcNJ2v3k/4jZfJdp5sBrOaWfDvMTPohCemIJg8DeJwT nfBjnIrbP7jaV3kawAstCRe7Kipe/9HDmHfBADjq6NcXQsj7ZCnQk+1jAMIF blK0dlQs2m796bmvARQnRa5rKFKx0VSDU+wVAwhYLElT7qBg2yts6lEBBrD5 vwrMPB6q94vjUmihol1I2lFJRSHPMXNn7rTJ1kJUtkQUQkJSipLtKwkhVJaS KHt4bCHRYkuW7OuYuSkkxO/+/nxezzPPPedzzrn3/Zm4sqSpFzxsI3BQ9Iab FhQnirZOuvFw0PKSHFtPOr53s7aJK2j/p5EhzvHRAtV8kdGlKrTfLP/Zr3lX C/yuLtfq+svF0zrbC/f6aQFuX1A3N5+L11sm2GwI1AIHzcAqtjoX2wSEl848 1AK3v43FapuHsMeqhoixR1qgljJn33TrIA6ME7cfjqD7c8GRwB0hg/htpp9U c7QWhN+/N/3nzwCebvNwznxO97etNC8uvR8H7TDdYpupBWP1BlH5nT04Pif6 n1k2na8sQ77lZg/OYDTXGeZqwSSvEBXI9uCmE/peZIEWhJ6Zc6PbqBvL3WB9 l3tPz88jvZJzxZ044/O2+9/r6f5cJvpuT24rDt5Q/Hyykda32Tv2aVkLvnj1 VNHa71rwycGPkvzUjOXW+Y6ZtGlBHDev8kJLEw661HO2q1cLHt01fOLYWY9t xJ7s4Y5rwdqsNgOdEx+w7OHlP6ZXM+DUkgO87dLpaDrm5YT0WgaIjbLfHTLO RN9+MZYhaQbMt9Df0hORiwIjHTg31zNAwcHjVYpIMZoa/PRGSJ4BszvjA13s PqDGu/d8F6vT+/9E/j0erkf+5TNKsiYMsOMIDZ8Q7ULg0LdL+iwD/vhOxrY4 daHRtZ+UJU0Z0GHxz12jtQsZO0TvWW7JAFmZPIVrid1ou5TGvvl2DDipcJBQ 2tmLuso37Be6zADBGJZXf0AvCnNYpCbowIBA84Heg9xeNFPerD7txAAn4c9K f+P60CeHa+inBwPCYk5GWs70o1tSpsDzZEC38DOr77oDSKWCozXkxQAfbvfT 6qcDKEZqNbPnNgPmtX7RkmYOossVWewmf1ofxW0G7ZeG0EbHGLIhkD5/4vbe 8swh1CTlw6kNZgCz3T1XeIoGBcfjh6pDGXDr58FEby8uWio9erQoio7vScaP KZdhVFbRol0Qw4DGhv09B9KGkatj6bG8WAb8coli5vUPo46KEN2MZww4eCvO xUCXh0Id3fTSExgQ5GRadtGbhzjSZvqpSQzwE4k7l/aWh9Iddx1PSmHAPanw jMzFfHRees2J56kMiGwVqLHfT/N2pcDJ+DRaz7hnY0fN+OiW9JdTURkMeBf4 wMMilY9UKrMNI7IYcCQ3fUvEVz4acnxiFJbDgM0Hpjz6fvGRXuUl4+B8BpQa diwo3Unz4JUTJgGFDKi6uuKG9mEK5UlrnvErYoCAbc8argXN05WbzvqW0PmP HGU98qCQ3BWxc7fLGLDjx7SfbgjN59Jj526WM2Bcy+TB6gQK+VW2mnpWMuD7 k/RN3GwKaV4pM3OvYgBCm7dWVlDol3SKuWs1A5xDu56kNlAoofKBhfMnBujh 1enRNL8aXXG3dPxC95PMsiehNN8uljE/f7mWAd/+ouqQ3zQ/Vx6ysq1ngOl+ 9bxHfynkckX5gnUjA8L3NS54+o9C8jKS1uebGLDzubR7Bs3XPyrn2Jg3M+Cz ownvI71+cGXQ5lwrvd8hd3aQPi/JdnPQ/8GAfJuX8pto3o5fvciV3cEACd8j P91o3pbnPvbc38UA+VOywtxhmu8LFO8o9jBg/+zKdudumu+DC+6v66P1r6QW SjXR/GumHSIxwIDnT5VUflRRiLO3PVxoiAFbutfKF7yj0BcR+ycTXAbkHH5W nUv7kVPNAglcHh2P7VnZhkcU6kj5L+UHxYALTBdiqTeFLtyQe/t1hAHFu0Od bG0pROm+zS37zQB1Vv18rj6d/0aiKHuMAazsFOeA/RSaGa8vf/GHAdndTYeP S9P6RY3XBU/Reg51zTVu56OwS77N3v8YsP7mmwcxBXwkrbW602WWrtfpmwNi kXyk2LefbzyXCRvfjV5yp/1cRk7V6DEhJhj32Sp6bqT92/3TUwwRJjD82OVZ f3nosNL1+dsWMaGo8U9tXQwP1QouXiIlxoR3X3e/LLjEQ0YNMSuWLGHCjj5S fkCDh2zciuTGJJiwaN1ysUX1w+hu2dwDxZJMUNDYkt7Jo+frUSgzQ4oJ+paJ OtvSuOiR9aZDiTJMCBSLkKy256KExeTJADkmFG/o0lPmDaH3p/wcDOWZMFmz N+tn7SA6orDW9YgiEzSpHEOvu4Oo/t9LT7SDCUvCrAbuawyinvia+5uUmeC9 v75/a+wAEuQtTRjZz4T8h3GaM8f7kR+OS+lRZ8IFt0arn7N9SDxE+e23A/T9 nLJ/t5P6kKyqQVGBFhOc9ETIF2O9CN181HzvIBPqG3ZGuHv1II8VMkvkDJnQ GNmtJG/SiWrSFxih00wwGfii2DvUgWS0x54ZmzBBlTgf63C1A2GfarVHpkyQ c+b6aUq2I8EJt/OiNkyQMhMNunCyBfk2fysYd2PCkwmWsZ1bHQp58p/txygm bBVfuit3TiLqVr+ePRDDhNArblniUtFoT9MFQeE4JrAiwsZ1LO+ihqUQDs+Z YPpQo/te3EO8+ha/NPMVExLM7SrCDmfhGIvDa2MLaf0PhQ9B80ecvE2oyqmD CY+zTSJ/lLThWimtKbsuJtRNeyiGxv3A00uuK1r10PphoUhbz3asPT4aaDjA hPuGRspbIzrwaEmPvuZPJhhU37yeC11YJkv2juovJgS88P/Vl9iFyWTjLKVR Wg95xZoRsW4cGVS/esME3T93N1E+jd0YjMvaRAQI0MArQoQMe7HNMYElcwQJ mD1897xTVi9+wNCAybkEiGpkCv4n0Yf7tmbED4sQwHn8Xb2gvA/7jz21+rqE gCn16smDMgM4a6A9vEqcACd4XRloP4DbW9ZWlS4j4Lkvt/tE8QBWLnmgmLWK AN1d9+1NzgzipkDvkch1BDTrWq4qujOEBW9hudD1BBwdKeuJ/DiEFZyn9AM2 EGCQVH20fgkXe56+knVjCwGmigEOeg+4OEn7db/rNgLEr81RDKrl4q9a3NWO CgQkeorfklw6jDduNXe32EmA5b9+2cU+w1h77ZMUk10EiEmc0rhcOIyvLm5p O7GbgOGuzRFLx4Zx1ageHFQlIKvuQp+wCQ9fLmYI7UAEjJ6e9b24io/DMzxV tmgRMFJokHxVi49LEvOsZJkESKzZeyPFmo+XBypXSZAEvL2nFuWTwceaNy9N LTpIn48+f3zLNz62cnqhKHSYgNIwx8R+mvfzjOSC/mgT8JXbpIZ3U7jn6Jmi nzoEnIlf0FSrTWExrciRQT0CvF/Mvp+xorDKnka5bgMCeC/iPLRuUPjcFgmD 1hMEaNdH/hcRSmE/Se07DacIMOHZ5wglUfitmF/WJyMC+AHhJbdzab8gUN5f YUzAe1/fJys+UFh4dM6a4jO0/u7vjbMbKTyRFh7Yc46AuoldMke7Kcy12zlv vjkB2YWqwY95FP4hX35NwZKApAnt8bgxCn/pN6a0rQjovvmy4OwU7See/bZw tKb1NSev189QONPUr/nhRTo+/aGxWZrvk2TW6+TaEVChsUOii96PbMl+33qZ AJEyrz43+vf+4drqAo50vWvXp1fR99843pu2wYmASbl1zV/p5ztKeGwmXQgY qDvyO5iOz+KzRJSNKwEyk2o5879R+IR/snigGwFP1LYuVquk8MGD4JvuQYCg 9cjczdkU1hD+Nl3vSUCB4szXmqcU3lFq5zjhRYBjqnyzciCFZb3mDaz1pvXQ Tk084ULhZQcem6A7BByznuWr0XwvPLmrzsyXgMENGQGdiNYrq5Ljc48AhWPn /I6sp/DQlbOFyffp/E7aL/cUoHCb0vjumgD6/qNzbru20f3yYsO65SEEvET3 NGuD+TjDKi9UNZSA0E3Rc1Wt+Dhxo+7C02EELH4sEn9ZnY/9YzzH4iIJqHqW vsK6jYdPhHz/uPMpne/1gLU/RHiYc8xeS/85PY/TBo1aNcNYXVQk2yWRjjcy KjMseBjL+uyJL3hJwIK3smc2idN8fy3I9XAGAa7TXxtPTQ7hVpXN/EtZBEzv OqZQ8XoIf/6dbx6SQ0Dyer3jR82HcIbdkPb3fAIEdLZszS4bxJ6mrE1W7wn4 oBm1K95hANvLtEb6VRDARj5PL68ewOYtjktTPxCQILBN93ZBP+Ycj50arSHg qqWye7RgP5Y4OPX1ViPdH9v93I5c68WJSumeMf0E7JO3yOqX6cKXVoz8zR6k 5+luqtS91514z6SS81cuAeMuWqm/NDtxUWnaxXk/CTiF39geMOqg+T/tlM0E AeYfomZkRNrw/OuvlVUWsMCAl4OTdBrwhQ+v+mrkWSB/jZDQyX6Ld6TyTPsV WfBc92hdrdhrPBqyvU1gJwscLBQmOl8kYC/jV3W7d7PAVjmjL9TbF4dTKUUR 6iy4b8nyPvb2JapckRJpeYQFe9q57PqwCrTN7IX2PzsWnAnu39GV2YIqo9XS fl1mweOZM0/nPWpF579XiQ84sEDmbYu9vUsbeqbDra91ZoHZFnY8f2c7kkWK p5Ous2DaVOzZQnYnWimVaqUfwIKaCuahP5d6UOZJzQ+cIBZs0z3L+fKpBxk8 +CSv+R8Lrq96K2SzvRf9t5DibX3IgtaJNxs+9PUi0b87nWaiWLDXW3Rh1MF+ JNiY7pWcwoKiDI/KBR8HUZw4oysmlQUqb+YyryyneftoLTM0jQXLZC9GHDEe QtfLfgnfyGCB9eTjnAP9Q2jize4Ag3wWSFfs2p04SPMBv5R/sJAF4q1rDKU2 DyMVeQMdVMQC9SGjqM5zw+hKnNMy+TIWsMy2emp/HUb8oMyI2Y8scCs29Dke zUMBH1l0P7CgXsQtj/+RhxRFGo2HPrPgTs1kaeEED1l7jq9rqGNBEP9KxsQR Ppqf53OzqoEFX4I2BZk48VHC2Mpu/I0FB17/2UxF8FGPrWrCixYWZP68lhRE 85Z3UoVIbBsLJi52WUbO8pFcz0nrh+0seCAjdfcDzWfF6waq/DpZcP7cQlir RqFzp10VvbpZkOi6vSXAgEKzYfMDnXtZcC4pv3SdHYViasMpm34WnPAo9PpM 86HG4m265wZpvS3WZT0Op1DLwdw3x7ks8A4p3+j9kkKMY89OOfNYoCnw7lJb AYVeGATNhFIsiKmy2zhVQyEJI7dnGSMseGexdUNLC4Xczloeqv/Ngj8n4uw9 +inUZaHz8/cYCxo6xdR//KTQIRv1sGUTLDhZrvR99v//d1/erLF7kgUtyuer OqZpnnYW79KbZkFkXUqWF83bt9ymfR1nWKAgnHKpnV4P3ejfHiLAhpCd2dxp mr/17tTWpQuy4fmeT8e+0zyf61dw7es8NhQtf9zrRPO+bHDSuhFhNvQn2Mp+ GaLQ3YcP3i9dQO9f2xHFbafQz0jPi0qL2CD6zUS6spbm6VhrcR0xNshzp4LP l1Ko6LlB9uUlbGgVvy5amU6hrS+RSZA4GwwOZtbwoikUnCY/9/UyNgjXFKt9 96XQROaK5E8r2PD2O9V5/zJdj3cCx/ir6HijYq+JHKdQZRF3VEySDbeOyXcc 3UehRx+L4agMG2zipY2YE3w08yWlz1aWDQlh+Od4Pe3fGh/5+8uxIS3f0Njz Ne3POu2aPm5mw+yBndbLzvBRTN8pT+5WNui3r6zYrMxHwsPMjYsU2JBc3O+4 Zh4fNY6vsT+0kw3jHO2G5Dge0pyet9JmFxuq+v3dte14KGHOz3f3drMhM+qe docKD7mIlot8UGXD5eRDf5pLh9EKOccnJLDBbgvnY+x7LvLYYsKyYrChZO9r ttxNLupR5HB9CDY4u85GvVXjogxVGdVyDhv+pQl8W5M0hAyOVn0idNnQVdvU 52s7iPL1Mp0s9NnQ/eFwkuSaQbTxVKzk7eNseGAj+mqgdACNmrmcLzVkQ/AJ 5afaywfQA1e5GS0zNlwoezg7EtuHap+6bUdX2CAT4+nhfLkbSQhk5ao5s+HX 4mjVpQu7kb7xCEvlKhvmzIuLuPG0C9Uvv3BmuzsbFNwyw8ZqO9G3O8eD1nqz gavjuP33xg7UaqU08ieEDUv0pVRlVb6jXoW+jLQ3bDgk4FXDFSpDm++u10rJ YMNa545e4aUl6HyPcU1iFhsmLUwFhNcUoYGout6YPDaczaPyTurkoCGx4pUB JWwI2qB+Y+hvLOJTj12ta9lgVPDmFtqdjSfe6mrI/WLDKj0nskWrAYvuU/m0 bJQNiqFG4Z0KjVg2X/Kc0Dgbyu487Q5f/g1zyrq9B/6yYX/Eav/uziYcUe/8 MXUOCUX5ru/tbFqx2liEkbo4CTM7cFrPg06sfc1zWHEZCaYzdo06U53Y7J+Z p8wKEuKq77FemXZhPyHF+DlrSJCWvdkro9CNW1YUDlbIkqDDdZeCtB7sodLl aqBEgkzxLgd/z34cnFe+kK1MQqFo6hXt2n78TPNllOoeEpwfud1M2jiAq9lO RZL7SOg3nG8u/n4AS58Unt+JSFDeF35j9+ggVm4ZiqjVIkFE/dB9ZY0hzD77 WaGMSdLfq/htz28N4UtW4ccSSRJ2pvc9qF/IxYVX5R/ZHSNhSi0kiCcyjGun Fm87q0vCito/M2uYw7jvxu88HX0SdAVXn3vsMYwX383/sfskCeKZSteDhoax nGic/SZDEvasyXg3JcPDKsF3BFedJkGdaz3yWpeHz4Rrb548Q8JeJ655TzoP O0rtzuGeI8FtjeDvM+087BO76lCbGQmh31RkVi7i49SkDrui8yRYiN8WVzKh eUfx/Wz6BRKiRebNCfTm48a05P+e2pBQwsprkUni49kcx0yfSyS4oLnVX7h8 3Cr85n68PQmHWL79HmIUzjMYMS10JIF/sfu1wHYKP4pX2tfsREKyq/+o4SEK O/28vHjchYTTip4vfSwprKv5ukf8Ggmqd8+O3Pak+c6fn7fdnYRps2cL9B9S eFHz9v8OXidh4nDKGSqZwgNb7Kwsb5DwNffHzVP5FH7vnHLg5k0SFniXKQRU Uzi+lLss2psE3xgZDf9mCnuJKwzl3CEhWH4y16CPwiZnbYrqfUlIzCmu66Uo rPYqOeznPRJutx1u1/xD4dVTA7ai/iSEze03PDtN4THOVubWQBJibpgNsGke rg2zWkMEk5DTt/zkGL1+3ZNAnQ0hYdfz9ggbmo/9lfveu4eSsL5xZ3XCJIVt vDZFPQojIfD0tNKLUQqTnywc34aTYK1arOw8TOGNUs84nyNJ8Njkaj6/i8KC Nt0y3CgSZl0CPSwaKNyeLTcmTL+hgpWazviVUzhfyOyjXBzdLxe9JNwzKRyh Hxen+ZQEhb/j5arxFHaJ67hq9JyESd2W2mJ/CutT67RdEkmQKO15K+lMYaUD ZzeGJJMwNlSxmDhN+5X7MZOvXpIg67nmNaL5eKip7cuHV3T9T+3wXULz8XMn 4+tz3pDgl9J9Yc8PPr5V8lhfOoOE/U+SVwXm8vG5pS3b9meRcFdRgfM+hI8l Uwwb7fNIiAz2X/tNk4///A1P8c+n5/Me8SBbnI/ryaZbSYUkQLKAys0uHg7s PrGzo4SOR9QF2q7z8MVdYULTZfQbWRYluHBoXr7R0LKqggSjiNfKIuI8PHet wd1jH2k9Sz0PS0cNY1c93c7COhKqCs9IhURy8fHY4OzmBhKwqP7JU8e5WJn/ OWD8GwmbRCLP71vMxbx72mo7Wkno2drab+g2hM2KDz+I7iFhnl7+3wyNQXxY ic3yGCPhSV/2yspLfVigoWGO0x8SzAuljx1Z3oezrlkWXvxLwrqb60Ldcnqx XOlt1dP/SCiVdA/mTvfgyeOl29SEOBBfEl+FXbrxC3dYPLGcA3tHX4w77u7A CyrUvl3Zw4GzbhNyvOmvuPBi1YOLKhwwXFu7+dXCr9hpqZGO+T4OJO+Q17Bc 9QV3GF77oKfBgT3x65eNnK7GOcPZ73YRHIixmogIiy/DFyT2xlL6HKgXtold y3+KK0x2Wl+8woGKecqioceqkIT5hXfRzhwoWXr0SrtTNTpzIU7sy1UOiPne fiEU/gmNOy57s8eDAzkarS0xF7+ijXf/TP67zYF1S39fd4xsQF5vsH9wGAcO HV39e/7zNlSdPfGjJJwDgp1b6lZE/0CrCnbtGovkQI3u6q66kHaUWvG0wfAJ B1S7Rb74v+tAba2+MhuSOJBrOw9dCO5CaiI6aZm5HLi+smvFj9Fe5CN6T3Dg HQcK4wJcjxr1oa/iJQaShRyI9Iq5KlbYhy5I7fnrWcKBsr0vTpp69aNHu1Yz OB85cPHWaYNAagB1qeiGutVwwDpz4eVs9iDaoeHXl/KZA8Rrk7yJx4OonD3t J17PgQ2WVXovYAiNnu6oa27lwMGhq80yjlwEpms2i7XTehd5fjTJ5aL75/Vc UScHCkwNX9+Z4SI5hzKpZ70cKFJJiXa/NYwuufy71NjPgTtvrTNR8TDKc1cp nj/Egdt+rJamf8NI1yfJ0o7PgejG+3td7Xko6n5n9pOfHPhl3vTeOYGHBoIl F9b+4sBCSJVSbeYhr8f+qSp/6DVtw8bU+Kg69r2A9V8O9P/2ieZa8dGqhBm9 x1MccGjrLwgL4SOzl6rPa/7R9ZbI//Y7j49S0+z/zM5y4K+LSMdsBx/9D3F9 ycU= "]]}, Annotation[#, "Charting`Private`Tag$5963#2"]& ]}, {}}, 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]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 50}, {-0.9999999812158452, 0.9999999999994794}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.873782625093403*^9, 3.8737826298163147`*^9}, { 3.8737826629953127`*^9, 3.873782716224052*^9}, 3.8744066573106422`*^9, 3.8744937894971943`*^9, 3.874496459825425*^9, 3.8744969723015137`*^9, 3.874575391967374*^9, 3.874584508955443*^9, 3.874643381571106*^9}, CellLabel->"Out[9]=",ExpressionUUID->"5ac48ab4-be7f-4540-a299-281d1ed3902e"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"\[Delta]", "[", RowBox[{"e_", ",", "ang_", ",", "r_", ",", "u0_"}], "]"}], ":=", " ", RowBox[{"ArcCot", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"SphericalBesselY", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], " ", "r"}]}], "]"}], RowBox[{"D", "[", RowBox[{ RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kIn", "[", RowBox[{"e", ",", "u0"}], "]"}], "r"}]}], "]"}], ",", "r"}], "]"}]}], " ", "-", " ", RowBox[{ RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kIn", "[", RowBox[{"e", ",", "u0"}], "]"}], "r"}]}], "]"}], RowBox[{"D", "[", RowBox[{ RowBox[{"SphericalBesselY", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], " ", "r"}]}], "]"}], ",", "r"}], "]"}]}]}], ")"}], "/", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], "r"}]}], "]"}], RowBox[{"D", "[", RowBox[{ RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kIn", "[", RowBox[{"e", ",", "u0"}], "]"}], "r"}]}], "]"}], ",", "r"}], "]"}]}], " ", "-", " ", RowBox[{ RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kIn", "[", RowBox[{"e", ",", "u0"}], "]"}], "r"}]}], "]"}], RowBox[{"D", "[", RowBox[{ RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], "r"}]}], "]"}], ",", "r"}], "]"}]}]}], ")"}]}], " ", "]"}]}]], "Input", CellChangeTimes->{{3.872063645308598*^9, 3.872063650398775*^9}, { 3.872063787323573*^9, 3.872064165554227*^9}, {3.872065575373057*^9, 3.872065580144125*^9}, {3.87208289534838*^9, 3.872083109573484*^9}, { 3.8720837640119667`*^9, 3.872083781982345*^9}, {3.872083816770862*^9, 3.872083922022285*^9}, {3.872083967701007*^9, 3.872083980142023*^9}, { 3.8720840241631947`*^9, 3.8720841386156054`*^9}, {3.8720843449961863`*^9, 3.872084348569682*^9}, {3.872084378909071*^9, 3.8720843821070223`*^9}, { 3.873730321036141*^9, 3.873730355318914*^9}, {3.873730437443823*^9, 3.8737304515080547`*^9}, {3.873769120241865*^9, 3.873769210914222*^9}, { 3.873786585540546*^9, 3.87378662616735*^9}, 3.873786695687793*^9, { 3.8737868066225443`*^9, 3.873786994938554*^9}, {3.87378702737081*^9, 3.8737870361601973`*^9}, 3.8737896206766777`*^9, {3.873789652816346*^9, 3.873789697143033*^9}, {3.8737897463594303`*^9, 3.873789768042716*^9}, 3.873791893753705*^9, {3.873791943519711*^9, 3.873791959518403*^9}, { 3.873792013494624*^9, 3.873792025842832*^9}, {3.873793868886735*^9, 3.873793895276264*^9}, 3.873793927318376*^9, {3.873795716576223*^9, 3.8737957346039677`*^9}, {3.874496410284359*^9, 3.874496431182281*^9}, { 3.874498293997664*^9, 3.8744982953005877`*^9}, {3.8744983674115*^9, 3.87449836949916*^9}}, CellLabel->"In[10]:=",ExpressionUUID->"d800b49f-9b04-4303-885e-198701a8fba7"], Cell[BoxData[ RowBox[{ RowBox[{"myDelta", "[", RowBox[{"e_", ",", "ang_", ",", "u0_"}], "]"}], ":=", " ", RowBox[{"Simplify", "[", RowBox[{ RowBox[{"\[Delta]", "[", RowBox[{"e", ",", "ang", ",", "r", ",", "u0"}], "]"}], "/.", RowBox[{"r", "->", "range"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.872064422267766*^9, 3.87206444280345*^9}, { 3.8720653832249823`*^9, 3.8720653906911573`*^9}, {3.8720654424395943`*^9, 3.872065443404607*^9}, 3.873787124452415*^9, {3.8737923795460577`*^9, 3.873792380778249*^9}}, CellLabel->"In[11]:=",ExpressionUUID->"036b641c-9c8b-4000-ae1a-448fc6136597"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"myU", " ", "=", " ", RowBox[{"-", "20"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"myAng", " ", "=", " ", "0"}], ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"myDelta", "[", RowBox[{"e", ",", "myAng", ",", RowBox[{"-", "2"}]}], "]"}], ",", RowBox[{"myDelta", "[", RowBox[{"e", ",", "myAng", ",", RowBox[{"-", "5"}]}], "]"}], ",", RowBox[{"myDelta", "[", RowBox[{"e", ",", "myAng", ",", RowBox[{"-", "7"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"e", ",", "0", ",", "40"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]}], "Input", CellChangeTimes->{{3.872064461068593*^9, 3.872064575124584*^9}, { 3.872085004109158*^9, 3.872085005020536*^9}, {3.8737871402386847`*^9, 3.873787155637959*^9}, {3.873787533503502*^9, 3.873787569859894*^9}, { 3.873792083213573*^9, 3.873792137404635*^9}, {3.873792233034637*^9, 3.873792264615947*^9}, {3.87379229683039*^9, 3.873792340634357*^9}, { 3.873792389433948*^9, 3.8737924135338287`*^9}, {3.873793945091408*^9, 3.873793955353887*^9}, {3.8737958552583447`*^9, 3.8737958584751453`*^9}, 3.874491388118662*^9}, CellLabel->"In[12]:=",ExpressionUUID->"6f15ea9b-99d5-4a4e-88e1-2b680fb1bba2"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], LineBox[CompressedData[" 1:eJwV13k0Ve0XB3BcmceokAy9SplKJSL2dk8DzcSrTGUmUhQpGiRTIaRIL0VC aaDEJbOLzO49CiUqJCJz5vzO76+zPuucddZ59rP391lH0f6MqRMXBweHEicH x/+vSVfseTQdswzClm0YKzXXBCapcMBCIRye12Rn7b79CJaqS4IUFO7Dca2d OQ+sMkAkNi9boD0VkkaDNMPCnkNSWaT8MoWnwH1sr4+jZzaojThGLbm8gmDW Sfs609fwRST570Lba/gdZp9isiwXlNL5t8/NvwWdldr8zTFvwUPf5/S0fAFw H5DsWlzKgzetX9MmiSJ4WOLDYWjOgDn3A51jLqWwaju/Q+jdAtjVGLPuT1sF iGhIOp34/g5+Juwtn3Rjwsj5Kck1E0UQ4bhoPTFfBXZhPNPB08VAzrvGjcrX QvBH+cMKX0vBt0Zu80hOHfzcwFsh71AGMnda64eJBvBvp5kssMrAXgVpv1ya 4WLju792aeXg91ywYLyNDZ8MXWMb1lbCvtgfPOOPSLBR5jge4V8Jsn7lZmNu rXCrcqdfF6sSyogLoyPzH2C+JU2k+AITeD9/Vx6W74BlZjR756wqaC8r9hn6 2QGWov3WrRNV8Cw9ofJXzido9nB9nqxbDYe8D50YJDphKoaZGFFZDff4C+/1 u3QD8aw/8AyzBnIv7PM+J/UVwpkvfdw538N/g9rSEwFfYc3GP9xb9d+DZ8ty l/Hd38CrkKQdynkPy/97zzXW9h3cdLSl3kbUwrxI3tOzO3tgMa6VW7K8FnoD Hx8ZfdQD+fG9v4MmayHP5UryiFsvLG9l1OYcqwPLrdt0f8/3Ad/BXMvxlfWQ UvfQ65f8AGwfeKH66EwDTCa8VemOGID42Neu/A8aYI9LfQ97dgA6dIzeMqoa YIg2bV5IDoL1dKTuvFQj6Ogf0g0PHYJzW+MVgvIb4Zag40TA5BCsvulmEvOl Ebo6Lj4/azcM2hUpMstoTXDD94ncMb3fMKLzOl/lQBO0vFrgUh4ZAVNtu5/M tiZYDvy2whqj8CFQ9rrFbBPorY/TDXUchYNFK+64yDRD1OTTiUusUUj8uMpc wKoZtsV8cLLPGoP5zyLVSR+b4Wqd2j7NExOQt7vF46x1C2Tm5K/PujsBo6oP h567tQA7gU5b1zAB/FJ53xm+LaDkcqxIasck6AXX+tKjW6COdkODQ2IKxlPs aFvKW2Cl/uflzdV/4OIj4WrF1SxAJecRo8U/4JS0ee7FOha4CY7VV2ydhr7k hOeSm1lQ1METnPdoGv6L86k9t4sF9r5bppMuzcBRB9Ufoe4sePkq/LOHxhx0 RUtk+75hweDywYh9dnPgXCBSd/wdC5R99xlsiJuD4VtqP9ZWsuDRTsGUntk5 sGiR9XFlsyC2NsLZsmoe1LJ1GmtHWODbc3tsr/UieBsP9CqvZ8PrPaOp624v Qu+d0vTbamwYeXrEjFaxCCtXa4p+38IG17Pi+SXKf6Ek1ojcC2ywXIwN0Jr4 C19FRH+tsWDDQ8H6IPHdHMh6o2SqHMQGA31/62u2HEjOuLibh7Gh01NVa+QC B+orzL7zimSDFPvWj4ZnHPhC+1OtTzwbYhIOGIeJcWLDg8ru7GdsCFrXJLL0 mRM3PWgclWliw1qLK/2npzjxae5razqbDWVhGmWdIlwomTjWYPmRDQu/orwK DblwxvbMsRNdbPB5fbjVJ4MLbfOUDr8bZoMLsO4PedPwcEV1Thc/CRypfwo/ 36KhO+dy31XCJCRwy3bWpdFw8l72HCFGwvtaZ7mnH2mY6aZS7LeShA1mC6lO utx45IOAtdlaEsryFJlmR7lx+nG6pcY6Eo5J7+0jPLhRsOIBx6IyCWFdMcpr k7nxaP3ZV37qJPx0VX7exbkMP87GXRvSJuFa/YHGRplluDivkeapS4KUhvfv oq3LcLotHH/sJMFoomjzA6dlOEI/sSfPkISnl03fWtQuw92/L6h07iPhVOzl kpZoHnTufhF51IoErqnU7tKnPPioTBd1bEhItHjP8aqCB0/v9GuTOEFCnawE ETlJPV+ky5NtT4JqRmaN8TFePPouK/6KGwlM/qafOl682L6gmSbrToK1xwT/ hpu8yHwhuO21BwkRmgYHeIp48RFrdgPzDAlD78iWCnk+nOHXdQ/2IeGG3OxY jg4fGvMdjP/mS4JsoJxEigkfjrYKtmv5kXBgj5v51SA+tIqJ76y+RMKLlr8d ev18eNRXuj7iKgl7tirNq3Dw4zS38IWsayR03TWWlZHmx771SsUVgSSIWMXZ zuzjxwoPHYvPQSR49m3syX3Jj0WXjHzzQkn4atvBV17Lj0nGepUvw0g42h6m 0djLj8kSz4aTw0nQqe+/2CcjgM+/hKxzuUVC1q74h2NaAqjPZlhABAlyJXuq Fo8IYJTcaLZoJAm0nCdiK0MF8FRCvfz9KBJ8Vcy3r00VwJT7j4+Z3qb28zG3 tUaxAC6fHPhLiyah6Z5Dxp4JAWQ5ybYfiSEBxSQaTUUE0eFjudoQ5TfhFeO2 GwWx9q7xlmuxVL8FKBpcOCGIDHZgTOwdEgT+tDgEXRLEcw7BguJxJFw+cy38 9l1B1I1ffiGM8ujPTa8eZAtiKrO/Z4ayvX13a0a9IAq63rezv0tC6+eouTc/ BLEjJ3aJSXmvuYFCGacQnlu+slHhHgmFTcO7G2SFsKdSv8OHsppRknu7thBK mixsYVJOLj8Q02sqhLtWrxkQjCdBXG8hb/S0ELZ27hI4SPlGblbnQpgQblMZ Twul/Efdios/TQjjRy/XvKPsliGwYUWpELaPr742QLlTofCg4ichlNv1uVMs gYRDiW7n1KeEML0s/Zcm5XIJ6fs7xITx3I3dhQcob4t8X7JbVRiLT1r9a0c5 ncev12SPMFoccms8Q1n6mrKArZ0wBnY3qvlRjpj9uOlUgDASr6oCL1H+6x1i 7hsvjANN7h2+lL2GtPyvvxbG01sK8TTlXqe+R1GNwnhT5ibThvK/3XHViT+F Me5ynJcR5ffHdg2l00SQ8PQ2U6esx54QfyMnguGBSReFKL/c/1i7dIcIGmw5 O9xHrU+hytSm3kwE/Yj1RQWUYw24gtrOiGCK4pex/9dnGSMns+emCD4zjEs8 QtlP065p5IkITl1Rr5CgPPhMbHK+TAT5/U6fZ1H1t1Yqk+brFMHggfmicMrN SWdAcloE53gdM3ZSzo1uuqmmLop3Quxux1L7qyxwJVvHSBSPFAU+1qKcGKT+ cZeDKMZPxoSQVH9c9Y1QtLkvivIOnn1LVH+Nj+jtdcsVxd6o375RlB3dfnn4 NItigFENlxTldRrrOqu5xHBVaNNWWao/BRRvKHfriKHPp5Y1g1S/v98Zs+nK bjE0WdE6bUU55Fiy9hpTMTx1cZ5RS80HVzRjr5W7GJbuyxK7T83P3N8hl7Yk MVwEnzFeat4YMnNnfJ+JYT/v4tfjN6l52s7rtyJfDP+x/TCVQc3n+GnFsKMt YtiuaPpCh5rfX53mmc1c4ijOmFNQDybh2Yx9tqeoOP52m+Gzu0GCq+RZhrCs OEopOhyJofKgd//N9/u1xHFrnrt0P5UXnYUlP2tcxDH11C0z1yskNCQobyxr EEfn6Ex6DZVPN3O3aZ7oEMf13InGTCq/jFoMd/ztE0eHM8bSJeepPOS1Nt65 JI6r9B1VM71JKPKNdmNoLkedaycr//Wk8sts9mn2veVYPJH1ba0TCVFi9Sop JyUwKNvqStIREgq017w95CmBAdnVioqHqe+zPQML/hKobHynPuUg1V8vJMws 4qn7j/7bl0jl+U9j68vCTRIYvbcsyXUXCUTQcPNFPUm8Jt3/7Cp1XsxMifqY rlyBngvV/xWvpub/s1kprWElPli/xzb8CxsEHnw77dWxEqeHX+oEfqbOc0tP 2e4fKzFj04D1hQ420D6FXizkXIXTS+3Rth/YkNZeuNVLexWWpJ/llW5kw48P CpldqatQwu2iomERG061DEUXXJTChvOJDufvs8Gr6ob9GWUZHI6yusF3hA05 Z4WOShmvQdfrm0NoxSxI8Xcf3GyhgCuEdT+lSrLg+sMFk8khRcyTHfJ+da4F OMivVFb/g3c7CoRYz5ph/XlnPzOVdaj68rU5zaIJeqfi/xUsXo8WNkJK0QqN sK/v1OVYrw3on9mU0dBRD4d6o1Xl5FQwqaZN+EVaHQxW2l97/0IVdd6w3H7e rgUN8Y9riBPqmNQTniPl9R4EYMquc0ID01p+/HH1roG9w5bTa803Y82n1dn9 HtXQXuHIaammiZcPex/vvVQFb8OYtgpTmmgi/7NGN50Jzst8vjY1bcH7tDnR hsZKcPD2fyuUuBW/y7wlmWKVsMlFtemA3TbcIMX/1NWhApqXqwn67NDC7tQd 6Ta55fDu5fUHarTt2MOx2b9Lthz8OVWONHzZjnvrBI//E1wGAp2XjDxztXFf Pa9mwkwp9KUrxj0M0MGt94tEREVKIW6DNHeB+Q7c81D/0qF1JRCd6Fxjp6CL pufVsy1OFINlnE2TUL8uDhSLLZ5/WQQzu57MPizRwxkb7rpCjiLo6aP7VYTu RJqUhwzT8x2k6muubrTTR4nr48783wrhRbCPuIu6ATpFqTRvcy+EUHOH/bQp AxyOf7p0krsQtDpTnoY2Ag66RKQKpRZAwsYHLxr3I8p1li+UmxTA1bLIhP0F iJOPq8QMeQrg4GrzJ3VKhtj0PKqmppoBhp41VuLhhujl0JyoF0f9v7UP7GHe NMSZkMw0rzsMyCWEtlyIMMQgJZp+ZiwD1kub8H25bYhK5fulVsUwQIj5KTfz niE+crjrPR/JgHbp38KYZojffgQGdoUy4GyVZJlnqSG+Kg91FgpgwENZe6WG KUOMjgi1nnNigO5WVQ37aUPcr6513IZyq/Gk9syMIZ5wNKgqc2QA34WQ/UoL hkh7njEY5kC9j/XMO4CLjsnDb5zk7BiAIRNlaqJ0vB1QOmFjzYDvIzdsIjfQ cc3JtI0aRxmgVJlx75AVHQ+OtP3gozOgSW0mrdOajo7Mki9hhgzwu2f05pQt HVXNkrfxU653G2gOsaNjqUIyJ3Xqg7eYKn+pCx0VA5YkJAwYUGrz0n/TeTqG OltObdNlgOVM7kmxSDqWs0NulGxhQLR6hQq7hI5VWkdKupUYkKljxX+9jI7w qcv/NOVSYrJfs4KO3fkayfP/MOD38fVPYqroiHaEmDTl/SE35U0a6Nj+8EHa MUUG8HSbSrZ00DHHk9tucA0D/KN7Fhsn6ahi21zx7yoGOE9ws2pVCPzzzkbO SJABts92NVmrEWhxlBU2IcCAf+1u1I+oE5iWKogPKe9pplWv0CQwY4tW3DQ/ tZ9ZXO/stAncZ0NrzuJjQJ89x5NZgkDNTd/c1/IwwJE977fRhsD7bUsaezkZ YB2u51tkS+CDezV98xwMMEP/c4dPEigv6dGbTXnXy7nTPg4EhmtnM1ZTVro5 a1/uRuDYqQHG5N986DGcPnDcl8BjojZ/3izkg33OuEL4bQJdxgePOc/kg8f1 owv7Ygh8XuDNI0vZ52hum9AdAiOCbvGyp/MhbMonKvoegSV6yTSg/HLH7Hx8 EoHM7sgvsn/yYbZ86WN6FoENd4cH+yfyIZotFMmsIdAgdgVn4Ug+JD4+7RpS S+DrSb6ii5Qfn28ijOoJ7OBaxdxBOW9l9Fx9E4HFpfmFhb/zodNSwpX8QODv T1d2lg3ng3KPNPG9h0DL/f1OHb/yYXPuJbm0Pqoeb+s+JVHWDf4869RP4NN/ Uu7bUz6gnJQ9MEigzKDt5NBgPni7K8iNjRG4STBTahnlgJ2Bs68nCFyz/kVb /UA+BAt/bz0/RSCn2cruWMoJrx7fmpkhcMr5ULUi5dRr3C6Fc9T61AqfDPzM hywTJ3rAAoFEVWVDDuXctdVrDP4SaFSxQ+8S5ZKJ9bNLSwQalw2O0in/D06/ yQk= "]]}, Annotation[#, "Charting`Private`Tag$6670#1"]& ], TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], LineBox[CompressedData[" 1:eJwV03k8Vev3B3AhZShRKbdrKjO5pBCx1jmbcilFhsxDOAnJmF80o7iIQhpR cZMMlQaRKVFkH1MhVOaMZ+tQDt367t8fz+t5vV+v/byetdb+PApeQTY+/Hx8 fFx6/f9+86SXkI53gUm6zlUvYyoA6trldzvIx4Obru1p37pu+F1feU5e/iqo PE22cpDph5WXnpaIdN2GdfsT5zgfBuFmdZLcUvl8uCWq8iyAPQyaHO/k36xi iFhx2OO1zSj0rbz162fnI1i8NoCl57+CYp6w3sLiE+AxJSbqY8YgwDg88Idc GQyU3TLYdWAcHnd8uTtLVMCoEa+FLToBC/67e2dYVSBs9VxGPm8Cspf0xv8w qwG2vVecvOYkmDanKn3vrIVQ09FX0TmT8DVzV82sXx3wXmQpCApPQaL3fy7c xdega6om9NV7CrS1H8/PJDXAeAvJG346Be2Lh9Ioubdw0Lf/iTffNEQ0yGpz HjbC0gMBFReY0/DH5Y6mKeIdGKauQ+LkNFS6JbAm3zeDxoLhRtfSafBSR4EJ FhtYEcXap4angX/xOHs2ugXSk9f6G0hyoOOLncysWSsYbTzZxW/Egbx6bX/u yjboTpDbs8uDA5EPRMu+dbZB+6o13h5nOWBxaUToW3Y7EBq6n27kcODPyBrb Gb8O8I/mxDMqOTDteuM2teU9VKV0kwldHKgmjlGcxfcQ51hNFVIcuKRmY8Kp +wAdNo1igQIUeItvTpxO6oSBFx3XbqygYFnPgMqUXDcscdm7kCJHQVf1y/DJ r91wL+R5SrgKBffzMl9NPPwI6g1xtx9rURCdGCoxcbwHxD9M+Tlso8AqxMp9 nOiFWsUSnr8RBfIH1ArHxPrAKjPKfREp+GYsuPj1fR8IeSXUrNxJQd2mz+Zf b32CakfzyCILCjKEX2SMsj7Dl6BrigNWFJQeswgJXf8FWgMtXpXYUHBjXF+a G/0FfNcKVMrbUxDrqlQd0v8FdEr1FvQdKTjSIsn6ZtYPyelGI4vOFDgQfCtD 7veD5Iu+mGA3CvDpVOnMygFYa3f92E0PCtTUepyDQweg/2DZshgvCiRvvOGf 6RwA5rC9lpo3BYsrn+Yf3TEIV1Kyrqf4UDB05s4+KnsQ5jUMX770paB5NuVH 0NIhsLknUveYRcFT1slbHL8h+N3skh9+iIKsj/5mQeQQXAiK1xXyo+DCHsfJ 6S3DkFqktMCiHVy98/KRK8PQ1vHW7yZtJ92thtOLw7DvTFTDPdpEnkJ/oMcI 3At4rZtIW1Na/MJU3QiwXsYW/k17beJPrUC1UZhsPL5mkL7v16+x95NJo7By e7qGE+3R4M7ogG+j4HVu7fUSur6WobpNk/Zfge1w/NsoXf9zh0eN/uVfYcMZ 0/tLaOc0ZgVPyI3BnitpSr/p/mczn6h/ThyDp4+mTr85SMFOVtNgG28Mwi6M vAml53V1W/+Net9x0Fd3juT3pGBS4Ifdi/ZxUK+UmQ13pwDaxMSLcALO3Y1N ZLtScCl745ucwgmY0+g7ucqFAgNjK8P485Pg+VBQfM8BCv4R9eZGz06CeUBg uwX9fz91/9+Do55TIJu3jrHVloKYiFzZA0bTEDbv09i8l+6n+Ce/CofOvWhL 3xY6T5Ig7LaCzuVd/aVXcgkKjJTTDM/TfbwSUQIRBgXJs/nc460U9E9kNRfQ +dya+t7Hq2AGuNsWDrtrU3CqUdNCx50L5WuUVWfWUXDv4TPlgnQuJOl/EKxa Q0FbJlNA6R0Xokp2TMRKUKDIOlCxfvsspN/KXcInSkGjQIwW3+o5SLpq1OC4 yAEp4x5Jdv13mIhXnjGs40BRcXxPgNYCGKdniyhbc2BccjzRwnMBKlqlNPdY cEAlwsJENW0Bsq/fKQwmOJC9QzRnkLcA7rucPB9vo9/v20Rfp9eL8IR4ZiLz BwciBi/O7HL5D4RvVirkDkxDlmjTOQkzPvwVZWK+OXQaWNB6dTJEADNGf/Um pE/BkWG1wdIiYTQubaz/jzsBIgoxKp8NVuFhybt1AvvGIXlVk3qOx2qsOp1d +nzkK3j12FYJvJPCq3m2/OknRiH4dYxXkMofeON9fGyS3gg8PCq2f/3fMnhR IZI/dsMw5ET5j2s7yGOYVKgS89cgnM36aT07qYDKCQ8agoUGga/9C1Yc34QT Qiseem0aAOUw30hbdSV8BfvvBxr3w9DcFXvRl8qYLc4uVQz/AhbDh09cClbF ujfR2yTsPoPVUIqGrKw6Lk2UO1s40Afjr7xOvynUQP2xokDD7F7QkvggQ7hv xgC1rWZ/OvWACMx59nK1cKtmjXehyUfYNeX0Y6OdNnr/Ne6jqtANXbXeS5w0 dXDK9POWf2S64MmFOjf5OR0MNMn9c3hHJ/guDf9CklvwnZOR7innD3AwJOqJ 2DVdrA34bmV29T38xdIgd3tuRSP+f0z2jXUAW1JTNHz7NvQTL39Jbu+A8qKz 1zUF9PBouvb9l3faIWqJ+r53fXq4yVvVkSneDiK9x82PlOrjkdXqyaL/tMFw nkJaVrQB2qVe46huaIM0VWnBMrvtyNFiL6QVtkLKNd8GT3lDXJ0ZaVhs3QpO aa6k2Kghxi9z0K3ka4V501xeVqURxpmzTp151AKDw8zI2vM70Fi2b/l4cAvc NtbZ0OxpjDPzxG+frS1QGBsuwdpsggdc191y5G+B83YHLQXmTPDI+2/aDsVs 2Nabk3++GVDkOUfykzsbVmkdmi9uATzsa13c7MaGyVNau7raAUMr0+ZfurLh 7qbyIdWPgBHrq1Kyndmwxr9DrnEEMK/vWkugAxsWogUshfgQP9y3tFfdy4Zu Ub0ac2nEWeH1LzYAGzLVrhc2WyJKd1YsmZZnwyx3Z+65PYiru3JTuXJs2Fv5 7cb2vYhFHG43T5YNQvstEnNtEDV1z15aLsOG8Gje4ROOiGYGL69pSbPBhu2g upmFuCwlpvaGBBvEwtfcSTyLaF8eZv6bnw2nqpMyLcsQ/+10kHk3SsJ4X3Ua 7wWiolOq/BLa9ovclH8r6Hpn6mr1RkjQ1HOKF6hGxBDewJ0hEroKlI+X1yNW lTxOiO0nYcuVKmeNDkT3iBAD3x4SRgJnZEU5iH8kZq27ziZhzwa73EZFBjb1 rXN/VUZC5pBWtbMyA/UmApap0R4qXN4zqcLAiZ5S9YvPSYjGilXiGgxsdd3R 7/KMhAc+m6L36zDQPE9w+a9SEkRKZmx6jRmY6HVE1KGEhAbTZL5pewYGBasf 9PqXBMaRBmeJeAYuv9yHbRkkLHSN7axLYGB41C4fC9qlhNiWY4kMZNssFXmV ToKytPXyvosMLP7k1/4kjQSxuo+l9zIYWFJt65Zzie5XenoF3mWg1jB7fUoy CUdfr6k+UsXAAVxu2hhHgrq2foFCDQP7ByunrWkPXnPM6KhloJ+DpcTHWHqe R28FGNYz8HxQd8VEDAk7NqhKCzUzsDD5WN6acyQsDzYKufmRgVL7rOOjT5GQ 9aeX4rs5eh6S3IrbkSQY6mpoef1goFLImWGg3fH3rP78PANtL1gF9R2jzx+L s1T8yUBB6ZZcadpHW++HRPMz8VRTTmZGOAkYx63WFGdi16ga63YICQOcGNck VSb2Kv2tzxdIz1vIirVJnYkfmSyF/AASpGTWBZdpMPHhhi2+NrQtLPJjhrWY KBn361euPwmP7jYXGG9j4vD2NyzrwyScc5RamGIwMez7zNfnLBIUX/2bYeXM xGdSLOZbLxJIzfm7vS5M3HPzzY2TtCMzzB8fdmPiqrOq5ltpN/mNseM8mRj7 XTE125OEkFUawlUsJooX9Y1Ee5BQ5VoU9VcYE3kGXcdM3Uhwmi/1WJXERI8P ViMrnEgQ9FoadCuZiU91FgWbHUkoarI7oZnCRKsLr48k0l6S9f2q+WUmOlYu bBSjfc/MoP30VSbWX+1cLn6AhLlL5WYzufR9j3/lbLQnIWVzrXpbJROfr9j6 9pQN/b2Bs/DZaiZOrTiuT9CuImZHdWqZuF4i4IcQ7WlH5dzU1/S8Pwb6X7Qm wTIuQc76HRMTb2fJ3N1HgtBnmzUt3UzkfroT2WtFQlTK4H/Ns0yMPuYQdd6S hEvXo3tPfKf7eZxVYkv7ft7a8s3zTPRjR2tvpN1VsSsyaZGe72kp8UoLEvTG Cr7t5ieQqi1h8P4mgWKEjTaJE1hV8MPyhDkJvlzB1rfqBG7qjgh9YUaC231T 0kWTwEphC+fLtO09Y5o4mwlcsJM6GUB7J1ugfq0OgY+qxkPlaCsX8Jd76hN4 +v7zDRdMSRj24svlEfR5l/Jt3gQJ3m2LkWquBFqMannvZJDgEm8UUeFG4Dm5 GXtl2rYYFbrXg8AGE7NTQrRNixYCww8S2KTOC2pAOh8JPK8aPwLdxibeWdIe ZPzY7RhBIPsK/z43IMHr4Tf5+IsE1sgdtMs3JiHg7P6fFqkEFvdmFCfSDt9f 2il2mcCBRb6dR2lfmAtPTsmg60m9rGxAu2g7b/HKTQJfbQwradxBAq/m94e8 AgITQv2fLBiRwH/Z49GhQgLr3A8876ct5l2TpF5MYNlfFPcNbVmhc6ZFjwhc OgtrMmmbWgg9elJG4Kw0cg1op7SJJdU1EGgSs8iLMSTh2p3AQ3FvCdxsczgw iPadMJIwbyKQ/4GwlBPtp1IpC00kgQIN/y3Vpt3rtPpQ+3sCbxeVOX3aToLK oDQxMEjgCDP/X1Pa2qXHZe8OE+i7Jdx2C23D2B6ezyiBumeW68rT3q1ys2Rs nMD1FoUxPw3o9+IvLzszQ+D2B6Jhz2hH7zjDe8QlMBe08vNox64Y6AibI7BF 7PDKDNqZxXf+mZ+n+49zOBRO+/ZpQdaLBQLzI2+5+NAusPZhRv8kcMNmtdN2 tEs31suY/KLzFlzbZka7kqvM+/2bwF1K22z1aP8PQ9JcTQ== "]]}, Annotation[#, "Charting`Private`Tag$6670#2"]& ], TagBox[ {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium], LineBox[CompressedData[" 1:eJwV1nc8VW8cB3CjZDQoFckokqy0tPB87z2UVDTJ3lFKfkI2oSQzGkaLUHak ksYRpSQjHJtkRgp35Brxe+5f9/V+nfF6zvfzec656+wuHHPk4+HhIXh5eLi/ 9wLtBLY45OjcTdja/JjhQH5olDtkIheByhW+Dq1MayTnK9+Fysklocs+8Y/G tneQS+NfPBVuTUMmqfo/T57qIe+VRcsulMtCuqU3FRUieknVMYeYeacCFHz4 u5KSdT/ZtfT+3GxLEapzWvrgKWuAVMgU0pyeeY4SHl/1ums6RJ7T9jw/KfsK Bc+pC9gm/iSfNfWks4g36HLQU78jJcPktMuhzgknEhkt2N//8d0I+ZC3M2JS 7z3KKsi+Wlvwi9StubHhb0s5KsnU04mLGSV/Ju5/zzrzAVHU+Kvrlr/JKId/ FsyZjyj0omBvucwfsnHG+ea4bBXqXrTxoW7gGOn1SUZjrPALUuqROBy5bJxc k9BU/Zv4isKaO8eemI+TdsrA/8upDhn8JGxTf46TfDO+dSz/evThW4LbJuUJ sqnnpDRL7xva8dte/6PzBOmdK/KK0dKAjPiuxCp1T5AG8YMCjIeNKPhWl6rJ Sga51vv9iYkzTWhlaNSPMwYMsoy4ND42Q6FG6ebbDfkMclFH78bfsm3IpGXD sKgDk2wte+s5+rMN1a6TT+qJZpLZmYkVvwrbETX9b+7iCyZp6G5oPUJ0Igif tFZdwCJvC5XeHnL6jipKxA6EJ7DI4ksG7hclehAj3I6m8JxF3h3ZKcn070HG m1JPMSkW6Vq/3Imh9wMNZqfNHF7JJpff/cw30dKL7Fas0O2OZJMzS19kuWn1 IUJ5+ub0YzbZf/nRkfGHfciRnbYkvIJNvnAKvD92ph8FF/BtWzTFJs22bd/z Z2YAyXYRm7da/SVTvzz475fsMEqW6D7SKD5JshKfK3+PGkYR5/gTmlUmyX1O 1X0NU8OI9nbRcj/6JDnKP3mytHEErY3/SSt2nSR3aRvuiQgfRRqWcu80KybJ SBEHpj9rFImr7nO52TJJdrf55LrZ/kbifcy6J78myTCvDJlTe/+gNaEex+eW c8j6glm+jWNjKCMo1yTBikMuR0JWS9TH0Wd2YnS3G4fcq3hzT7jDOJKXT/Ue C+GQMawspu+3cXTV9mCscyaHLOnYXs9aNIH6Cz5lNL7kkD/KyVxXnQlUt+SO vnAVh9x+g3K0y5lA//W6uX8f4ZBW3jb0zh8TiPGN7hs8wyHDrX/JGEswEGWu IMYQmSKf7vOaqTNkICmmpvmOtVNkuxpv64ErDJR3Vl8zZ/UU4l8ZVVzxmoGO XXSkv180hVRnV93QZjBQ2d5tLnwcDgr6omqwxZqJjOJzNvC1cdCTwpeKObeY aLq/g3pXxUENiXT+DV+ZKHeFyPe0Ug5ScDr1RmI3C/0MS43pustBX/jD1HlW sFF1QFu/gD0HrdLuWF5X+Rfdeh5pEsGeRPkFER3n1KeRqYlWz77Nk2hk+UiU ge00ck+zTnBTmEQbvQx0lG5Oo5aEu39yJSfRQy2R1L6pabTcUz3QYsEkiq+K Om32cQatX9gVHNv+F3n1xU7st/iHgpl61JLrf9EDkepQMT0eYNj0ijOYbKSj 7WcRbMUDsOvzivkRNup0VdkxdokHDigu2SDRy0YSDZGDX7N54G/A55Hz9Wx0 I/HQgWuivLD+Eb90eh4bhW6oXTrfwQu/z+axpM+ykRP6ljTqzg+/L8Q7+o6w EE/a39KOSH5I6K5wZ/ayUOKCtZ1f0vmhyNovy6ODhT5XnZbJauaHnaIJ9Niv LKR0YjbNcc8CGKjs+re+AM/NeWNuN+9C+FY5ZVrsyUJn4wPe1ccJQFFnZLeQ IAu5DmzqK84XgkzEUxqiw0Q9Vm2C76uEgLwIJ0R2MdHx1mvqNf1C8KOwMjpp CxPtqh7yGVgjDHT2saJKBSbiL8wQXRUuDO6pJfF2IkyU6L9O55K1CGyQeJt5 p42B3q+QTNotugSkJfX6i30YSHhd2Mbvu0TB/Qx7brpyAsWIViun2qwAi7Y1 dsP3x5FdxwmS/+sqsEmwYZ8SHUP/fQyzu7BxDTi30jM/q/1GhW6Lj0sckIal j3TV05N+oVQ/lxENEzkwvHgloHzxCAp5MHuUNboOeoaT3+x+/RPxNPbAG195 CJRY8FEmcggpepz2PqG8AWZ4njXeMx9E/ew7xiJvFcFtPkbxnvEAMhg4GxD/ nxIEUnfIoKP9yLA/TkVGRhnecuYNtB370EiFXfDnPBVoOdRtaJbUi9TFmqUJ azUYuS4uWfP1BxJGbNtOpjoU3l8Dlmt/oP2/zSbXn9SAN4cmwodcelBruQOv meoWGKl//nNb0nf0/NoHKzn2FgizF1WxCO9Gpxd69tTWbsV5j5h7eHUhe3e/ 54uTt8FKac7Qz6hOtNlJpfaQ7Xa42K/jXFHageqWq4p47t4B46+1A/JG2tHr /JAUVX5NUBb9Ii+3px358Sof+dqlCdT2O/Ajqg0Jd/rquxbvhGXxfE8XsVrR QOa6mw/8d4ERYieMXGxFN5UkF7w6uRuCcpbJlU+2oLjk059s5fZAQoRfYEtc CzK7aVm7eGgPgN/AacOdLYijmzH14N1eqGl+rDX9oxn1DdC9y8O1YOyvcXXG 3WaUpr1FqsZWG5pNV8jVmjejvCueYk5qOiASyi8or9SMRrUsQ65o6MABjWk3 543NSJWly3y0TQcmZruO5is2o2w7capntw7MHHvtu3dDM3qCniWa7dOBdzEM e/P1zSh9alzW0FoHjs3Fni9c24ySz59T33FDB0xUXJSeizWj8JP2B/nZOgC/ fz0S+0ehNKNOC0eODjjanT96epZCbw6cdP00owOiVeuCXuPvGEN7/41IPgTy 4vvNnKYpZKGo0rJCFEFvc6DQx0kKbZ1k2CmoIHA4elMqkUGh7sQQXz1bBJlZ lrEpPym0ozM1K7wGgT36RIk0U0hU3ZlTUI9ANfml3jWKQqNB6vtbGxG8uB4h uRA7Xf51v1I7Ah6JDaPzjRQSd2mS/TKIj98O3jX9jULT/vwHBfDrJVVWWJ+3 lkJtIprv9SUBPmU8XnmqkkKJm1Lyag4CiNp3SMiWUIjF3JcRehjg35EFatkv KWT0jnF3txFAmcNk1g5sgeMGURnHAIaCnLoOv6CQp//U2QBTgGieNIXQYgod qzNRUnMC4HuhIcBbSKHFnuKPokIA4l4uytDPppAzKkumhwGwL6uf68miUIXQ uXjOFYDpI1G3vLF971dcdogAoH6vXZr9hELDn9xttOIAeor64sQeU6hyzTfp 0XsAXVmFBYxHFAoqi048+AqgQD14eOYehUa6ym5OlQJEWp2jpWIbzzDjHr/B 6y2pn9iHrappFsFfBqBpQzNPuEuh1hxF39eVAPHBwQc1UnA+d0hzlSaAD00h l3wTKTR4fkJGZAzAtr+qwDCBQkcjFaRejQOoNUmVzsXj/J+YrHZi4Nf3Nsaq AuyEvrfLKtgA6avdPolig+l1Hr9ZADnr6LmWOAol68r3jgjR4GvwsbueMRQ6 LHUy44sCDTaELzwyGoHz6FcvM1ekgfHqZN4c7P48wY7RjTR4FzXOPoPtD29E l6nQ4MBqw8yf1yiU6yjvf3wLDT6Tr9YNh1NI+OnEsU5tGiiMt9v9vUKhT7ox PH+MaXC5Y0KEFkKh5UudpYJO0WDTlRW1i7CtWmiaomY0WMI0r629TKG/Z9gu Wy1p4H+j7poltmKsRYuXPQ08U/V/BARTKKxNOX/+Ag3y6+t4vgRSiOb6yVws ggb2DZJzMX64b63D+z5cp4FtuqqoKXYxsXjrpSh8/NbC0/LYipJHBbtiaXBs +ERniS/ux4f24ie3aSC43ufPoA/OQ/LPEkinQeThS5eNvCnk9lG8zJWkgXec +aajnhRS1tiZs+49DZo4Rpby2H3JprebymnACPOqY3vgvN3un9tTSYM5zezz KdhaUkqSAjU00LqC/3VdpJDgf3vd77XT4OlXpHHDnUIP1topfGXTICppqH2x G4X2bFNRt5ukQdvxP8LDFyjUdIC1k8OhQUqMx7mP2IKXrh5UmKVBS45HRSC2 27dsd38+OjAO+7xluuK8rzLLVJfRQfuFRcXgeQr1joVZRivRodTGU3HcBecn YOgkr0yH4z/eEw3Yq6RX//dKhQ6mFvtiirENDLLCBtTp8OacW7YPdlF6TY72 DjrcHE2eWYgdarpq+jeNDodKmX2KZymkUPH4tqE5HU5dLuq75kyhWlVOeqcF HRziZXrdsL1v6z87a0UH80Y+QVPs6jPDdVdt6dBeVFK1CdtdVEWIdKLDyh0B 62qcKERa5vtt9qBDT+LdRVLYZpxiG9FoOmzVtm5rcKTQAruFF+7H0EG6uziS xM6vPhmgGoefN/2lbS4274O/SfoJdNiDDntfxX6it6sxOIkOm555HdLCZse/ 1pvIoMO6X9Ve+Q4UilMrV254R4fTNKuFufb4/F3mQiFldBBMGcxLwSYJ1tCW cjrUta/2j8T+Y6qYceMjHaqv/bjmgn3w6nXZo1/p8NVYxEYNW+D7MfH6NjrY kVn9L+0oJD3yixHUQYcY9ejmLOzt7LBvm7voUGlU/ysF217kZUxsD76+oT8o GLtsp5SQ0RAdftkfNziI7RfX96+GRQfyVK3+kC2F4lP8OwP+0kGG/sW6Azs7 c+VrNQ4dJl2G7tRht77Z7x09Q4fN1pNnS7A1h3MYh/gI0FCLTozEHqd5DFUv I8B6ewFjJ7bg4SWVfmIEGPuoiahjy57KTFdZQcBpsyS6Araha6tt5CoCxELz l4hh5yRrdRpIEzD4iUds1IZCp5kLvlUpE1AUOpP3GNsqW7fWQpUAuz+v1B5i G9uGVY+pEfBZNLwyEXtfHX/lyi0ElNh1069jK+bwvbbdSUDWcR97V2wZO3oJ axcBpmYZT5ywV0mGPA/fQ8B0KZ+ALbZAOO/TPG28fu8+wRPYA3Y8GVMEAS6b tVT3YndKQlqUHgEcScbmHdhN9UEPZPcTIC46Z7AZ+4POfJKeAQGXxXMq5bHT 18zF3DhCgBCvzbcl2A4NM96bLAk4Hxe2dtAafz8j9nq9sSJAYtHAtR/YJ8Dv opENASelfgl3YevmT5/3tCcgc12AURO2wvUpu/dnCNiYWNNSgb2WttvmhAsB Y88u/CGxxTnelkPnCNhn2Cv5BnvBaY7JEjcCXorU5Rdj99EmD5l6EaBA9dZk YrdzNA1GLxGQ3qxw7RF2Q4HX/iAfAnL2Oxg/xC6X/kvL8Mfzj3FXT8ZOm2Jp ToQQcHHFeFUMdvLT7dvDwrDfwroo7Hgnjy2rrxJwu/VtZAR2CMVU0Y4goCCY SgrDtitkyEXE4ry2Z9zxwz4XcnzW4AYBi3mWHvDB9jxe3LI4gYC5tyfFLmFf Y3vGxN0m4I0gc8Cde//K5jPHEgnYtYWX4YadcmennngyAZqh1uIXsPN3T83c uYfn7RyY4oJdImzWYvqAgNHZyfkz2O87SoukUvF6yW2+zthfcqViutLw/Y8s FXbCbgrwP/MgnYAoK4cCR+wuwy5d20wCXj1aftYBe1BWR07+CQEhQ+zd9thT 7+ebM3MIeF5VK2GLzZdgU+ScR8DCnYEbbbAXO7yPVi4g4Cit2cAae+WO9WdG nxKgNP4sxApbRiBUN7+IgD4TVq0ltlJLn6xbMQFkksdmrrc80Z3Z8oKA7D6x dAvsPT4ZzcyXBBS6ZalyrWsgUPT8FQHLrklUmWMbSjlFX3qN+x6o5cO1yegn 591vCch9ztDi2uatku7MOwKakyXEuT4bEyH7toyArVmRc2bYHtYj04HlBIQ6 b5rlOkDjYDN8wPM9X7eYe/5V3txCvkoCnpwy1+A6rmFx9IdPBNS2Zp/mOvnR eeerVQQEP0kp4PqRRy2hX437Gysiwl1vrt5mWeEaPH+7Vm+uX6yKm66uJcCJ r4fDddnQOBVdT0CcJU8k9/mrSo4WGjXgvriu3sydV0NEUZRYEwEftPkHuO40 W+HcSBHA7k7N5c53UMWDuNVCQMzFb1e48x+bbZIxaSMgb5ObGzcfTs2OaYkO AuS0LM7ZcfN6cJtq7yQghXHRh5uniNvk07vdeP+l3rrDzVucdirKqoeA+1kP Krl92NgnSfT2EdAdOWjM7Y9Gsa9M+gABDKeel9x+7bnSMeU4RMDONK1N3P4d 2njv6fAIAfHlt7VcsY05/yJzRgnYLnasm9tX6yorp/N/COCJHYn9D9vdRU5m YoKAKk/19Z7Y/lqXp4qYBLjl3eHj7ocrS3qbPNgEtBeaMryxEwseRXI4BIwf cJj35+7P4AVOpdN4/y53WRuEnXPUke4/S8BDsf36l7GL11dK68wRIHK5JSQU +x1TcWp+noDJxzPVV7D/B4FB9Ug= "]]}, Annotation[#, "Charting`Private`Tag$6670#3"]& ]}, {}}, 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]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.8720644803212757`*^9, 3.872064506851513*^9}, { 3.872064571346196*^9, 3.872064579517775*^9}, 3.872064821279194*^9, 3.8720655901531973`*^9, 3.872083121670566*^9, 3.87208329527455*^9, 3.87208343093452*^9, 3.8720841648384132`*^9, 3.8720843617630377`*^9, 3.87208439485054*^9, 3.872085008546116*^9, 3.8734508115786543`*^9, 3.873450856120625*^9, 3.873730372213463*^9, 3.8737304467891083`*^9, { 3.8737871336105223`*^9, 3.873787159264817*^9}, {3.873787536982912*^9, 3.8737875740137053`*^9}, 3.8737920364159822`*^9, 3.873792089597219*^9, 3.873792140455243*^9, {3.8737922585205507`*^9, 3.8737922699538183`*^9}, { 3.8737923001642227`*^9, 3.873792343961972*^9}, 3.873792426565915*^9, { 3.873793890061267*^9, 3.873793957720366*^9}, {3.873795729676141*^9, 3.8737957586299143`*^9}, 3.873795861295813*^9, {3.8744066391614122`*^9, 3.874406664637567*^9}, 3.874406732477387*^9, 3.874491052616679*^9, 3.874493797842209*^9, 3.874496470510573*^9, 3.874496980840026*^9, 3.874498303216597*^9, 3.8744983772264423`*^9, 3.874575399674314*^9, 3.8745845170329437`*^9, 3.874643388780966*^9}, CellLabel->"Out[14]=",ExpressionUUID->"c5f65373-64df-472d-8741-a10399890e66"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"CS", "[", RowBox[{"e_", ",", "ang_", ",", "u0_"}], "]"}], ":=", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"4", " ", "\[Pi]", " "}], SuperscriptBox[ RowBox[{"kOut", "[", "e", "]"}], "2"]], " ", RowBox[{"(", RowBox[{ RowBox[{"2", "ang"}], " ", "+", "1"}], ")"}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"Sin", "[", RowBox[{"myDelta", "[", RowBox[{"e", ",", "ang", ",", "u0"}], "]"}], "]"}], ")"}], "2"]}]}]], "Input", CellChangeTimes->{{3.871702689542733*^9, 3.871702718481954*^9}, { 3.8717027521928997`*^9, 3.8717028506488733`*^9}, {3.872064692026392*^9, 3.872064713432551*^9}, {3.8720648075045013`*^9, 3.87206481416335*^9}, { 3.872065397160803*^9, 3.872065415508048*^9}, {3.872065447049011*^9, 3.8720654485861177`*^9}, 3.8720655924892607`*^9, 3.8720656325043077`*^9, { 3.872065833777644*^9, 3.872065834616434*^9}, {3.872065867221393*^9, 3.872065869529162*^9}, {3.872066173038896*^9, 3.872066198590087*^9}, { 3.872083164871222*^9, 3.872083181421772*^9}, 3.872083220690255*^9, { 3.872083387215781*^9, 3.872083424265051*^9}, {3.8720844079682703`*^9, 3.872084415138112*^9}, {3.872084699641899*^9, 3.872084703138381*^9}, { 3.8720847966213293`*^9, 3.8720847973941107`*^9}, 3.8737876120283947`*^9, { 3.874406589007883*^9, 3.8744065943570213`*^9}, 3.874498330574841*^9, { 3.8745757024134912`*^9, 3.874575707947632*^9}, {3.8745804668090982`*^9, 3.874580473855629*^9}, {3.874580505334504*^9, 3.874580527100831*^9}}, CellLabel->"In[15]:=",ExpressionUUID->"eba599fa-45b7-41f1-be81-be340b9f2765"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"csAng", " ", "=", " ", "1"}], ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"CS", "[", RowBox[{"ee", ",", "csAng", ",", RowBox[{"-", "5"}]}], "]"}], ",", RowBox[{"CS", "[", RowBox[{"ee", ",", "csAng", ",", RowBox[{"-", "10"}]}], "]"}], ",", RowBox[{"CS", "[", RowBox[{"ee", ",", "csAng", ",", RowBox[{"-", "15"}]}], "]"}], ",", RowBox[{"CS", "[", RowBox[{"ee", ",", "csAng", ",", RowBox[{"-", "20"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"ee", ",", "0", ",", "40"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]}], "Input", CellChangeTimes->{{3.8717028649961863`*^9, 3.871702887968073*^9}, { 3.87170294535682*^9, 3.871703044356192*^9}, {3.871703077266426*^9, 3.871703077607987*^9}, {3.8718801714491158`*^9, 3.871880209310113*^9}, 3.872064670510241*^9, {3.872064716260972*^9, 3.8720647880831757`*^9}, { 3.8720648287810783`*^9, 3.872065013220315*^9}, {3.872065124910886*^9, 3.872065342256804*^9}, {3.872065418717451*^9, 3.872065426642069*^9}, { 3.87206548157268*^9, 3.8720655283698483`*^9}, {3.872065645672921*^9, 3.872065678152123*^9}, {3.872065730857747*^9, 3.872065779862418*^9}, { 3.872066108986445*^9, 3.872066123057541*^9}, 3.8720831534217567`*^9, 3.872083187235692*^9, {3.872083244436311*^9, 3.8720832447462063`*^9}, 3.8720833118545218`*^9, {3.872084433334014*^9, 3.8720846051257277`*^9}, { 3.872084653827442*^9, 3.8720846799264708`*^9}, {3.87208478379985*^9, 3.872085150451397*^9}, {3.873450786401164*^9, 3.873450787818837*^9}, { 3.8734508267954607`*^9, 3.873450827217886*^9}, {3.873450880792933*^9, 3.873450898910681*^9}, {3.873787599533704*^9, 3.873787640782876*^9}, { 3.8737921585251226`*^9, 3.873792245280571*^9}, {3.873794001028269*^9, 3.8737940011280413`*^9}, {3.873794032333996*^9, 3.8737941165128937`*^9}, { 3.873795616165689*^9, 3.8737956399922533`*^9}, {3.874406760440063*^9, 3.874406779156231*^9}, {3.874407221444343*^9, 3.87440727825593*^9}, { 3.874407545192944*^9, 3.874407577853104*^9}, {3.874407793022079*^9, 3.8744078940395803`*^9}, {3.874491069872429*^9, 3.874491075963235*^9}, 3.874496992231851*^9, 3.87449711987507*^9, {3.874498346516799*^9, 3.874498356572147*^9}, {3.874498389168923*^9, 3.874498389261672*^9}}, CellLabel->"In[16]:=",ExpressionUUID->"d15ee31f-722c-4a79-b9bf-b0ddb3b85de9"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], LineBox[CompressedData[" 1:eJwV1mk4VdsfB3DzrVQiTeKYzmQeUma/HwcV5SapSJKMDSqlKzTnniNDKEOZ S8i8hRtJFMmQyBBRlClTZZ7z3/9X+/k8+8Vee63v+q4l7Xh2vzMPFxeXOjcX 1/+fcVcdBdScMgwMP9dOv2V36lU0Se05JBUATZ832+z/E2Ww/Lb0lpTUAxh0 mR07Pf+fwdrwwtxVbY9gn3E81+OpGoO4smBJfqmnUFwldktj4pOB4i+nkGXX HHhTt22T5rPvBl/Wxv9Z/JQHu5KXvoUPDhlQU1bumF8oAEH1zJnlveMGp/W9 zsxIFsFfl1tiB3pnDJ41dydPskrgt7CTBlP7j8H8qT2dY66vQBgeXNR4wgOJ 3J0BMyblAE+TKcwgATB+H0ab/vQaElYI8Rs1roIf0TvLJ90rYOG3e9mBi0IQ 5LRkN7FQCWJ3Eswe6IhA04Lb/d+S1TDRLnKltmoTXKqiqP4iaoAxpqTl0CwG Yveaa0dZdRDm+rfLFSEKOMoj77DrB/i+cGXrZY4M8Cz4fJj0a4CKv1OXg05R obnbWmLSpBG0OCqsAmc6eGcKFo1/+gjDP87LiyTIg1l4v8B4YhO0fs3UVf6q COLe5QfG3Jvhg409W0lDBcpY//z+tdAC2iue9liKqMNfHd8Zo5LtsIt5XFog UBPayl56jfxoB92OkyvO8WtDekr0m2HiM4jb4JXNgTpg4WlxbIjVCY2el9+t eq4PkSuLIwdcu0DYXfDYF3MjyP/HzPPC5m7YPe7/IGc7C2KHNLdM+HVDf88Z SwGaMXg0iLiOm3wD+8rKS9tETUEk9h3P2KfvoBySqq6gYQYLawufntPrgbvK zI1lu82h98bjfb8Te2DWasnzpdMeKHS9Gv/LvRdKqX06PekWYLtNQ+fnQh9Y dPnlF7+whKSahPPDkoOg1BqwpPvXIZiMLpDvChqEQr/ED9W1h8DUtbbn49wg 2FkN8DjeOwwjvDPWxU1DoDhglpqqYAta+hY6AewRyJYVnTC8fhQachZ5GL9+ wbzzkVslRxxBBFbar1H+DTPakh2lLY6gS7+vw3b6Ddb3FAbVLE9AyOTTCZ/G 35Cx37LVaY8TaIS1ODtmjMFdkxD3NisXuFajaKZ2bALeJ8tFVj45CWnEf/SM iAngfCrtUt1xCj5GG/HS6iYA3APnpqtOAdX1cMlm7Ulo/C42HfzrNNTw3lbm Wj8FjSUymq8szsJG/Q6RD2+nYV3OycUpmidk5wR0nFaeh4W7L88Hx/wDQyJD QWbH5+HDndq+7rF/gHHJzIB5fx4sC7G/cJc3JOoJJvXMzUPdNlOBHzPeEF4d 5GJbuQCtgq18e+184FLP3bGddksgJeI1G653BRIEa28Jm3Bhs2bwMVbGDXCF xgcjnryo292x+ZozB7geTRd3BPKiUFVe9u44DkTziXfWJPOiaFLqE4MWDryr dqE8beXFoyeTz6SYBADzwOIjZx0+dHgTdsKJeQd+uDEyv3Lzoy1zqMJyKhBO hl8pbQgVwJ289su56XfBo0+uJz97JXa8Err+5vk9WCV9m9GltQ63m38IOZAa CyHrauWTHNbj72/JQvoBj8Cx48Ar3rqN2LYqW3ZvWwqcr7zteJYhhqHrqDvy H6QDpddUYHqbGEau7zuUmJIOtTwr0/1QDE9diBq+9SwdaBg8FmAjhiZNL63V 3qdDe3HE9eRAMdzY8S6PypUBhrkp8e2/xHCFineWu1MGCMe8+8x6vhWzGktu 7KNnQmnRnas1FVuR2ya2QEY9E0617ZGxbNyK503oX4f1M6FyQ6O7/RD5vkyZ +4R1JlwObZ/1FhdHpS9Z+r23MuGb/9DG7OvimNqupKralQnEudVWm3dLYIp5 fdSXkCyoe7j+ctZBCZwKyuGcfZgF/RViCUZOEphTcujm9JMsENsiN3z6mgRq LCRxekqy4Ha5ya3yAgl0OS5DaA9lwUGRa89OylCwPSKb1mKUDfPPxta/XKCg CvgeLR/OBtGvs9r7V0qibN6GxbGpbFBeweUwsFES6xkV/pu4cuCE3dpMYXVJ 7F/vYWsomgN1fArGLm6S2DZnv3qdXg7EWztdFGqRxHNxNu0PAnIgyffUkOoh KRQK95xUW5sLqmUrZ9lHpfBTmVG+hUgulPGl8XedkEJ7ncR0l4250B3cKxV8 Tgr5ijn6HEouUBKPHhoMkMLuHUlrw5Vz4WHF3xVJJVK4+/m35bK9uRC+RiNe REYa53THF8I4uSCz/2OGO1MazVMKhDcF5QIRea6oTFkaq8dzLkfdzYUGyaxm D11pTMrPM74TmQtr1emCtQekUXxLSL9mci7cObjZ+xZbGlcqbjueX5oLNxMW LSdHpPEDkS+s+zsX9qk+P68wIY1S3ul8lAlyfOUXwhznpDFMd1Pi4lQuFH8f amjgl8HYdb0tmQu5ME5r/zuLIoPjwvlO7QIEOGYW7HXZJ4NBiQL7ncQJMCzy 2N32TAY/FxZNmhsTsNZM3l2oWAY5J5obU0wJ6PzcxzEtk8Gr73g5S7sI8F60 e5dfJ4OfZrX+jd9LQC6Y7wzrk8E4Dmc2+yABUm8ZJmabZHF5NllZ0I0ArqZu LPGRRRfVjbwv2QTcHixN8rkhiwzfPofSAAJWcsXxaHNk8cUQSLwIJEBEyaai IEIWBXfOFKfcJYDGbtyZkyuLM14X60yjCDDTfW3xqF8Wd3vwHM18QkC9ZWKO w6gs+jfsKHNKJcDK7eo6yUlZ1BZXS9v8lAC7CJ2PMdxUhJ9a6y5kEuDxK886 QpyKMc+Y/uN5BNx7/NiOs5+KW8wUFSivCNhcfOOlqQ0VZaS4eULLCIhtOEbh d6CiOkXFf6mcgJSlrd03zlBRS+zRw9oKAp4fun/Cl0NF5cmTuzRqyPkS9D/p UUpFl4D/+rWbCXCQOVGrWEnFbE+HPNcWAvq0DBWHa6m42WR2f1grAT+dl0Zd 26moWL9doq2NAO4yr/PHJ6ko3d0iofGFAPpFF+8D8jS0rdwgzOwjQEmnyypB lYZv5+/n8vUToMF1WGVoBw01L7V+/ELaKGh3/zUWDR/tEU7z/0GAfbLigQw7 GtKehzRkDBPgfPKJyrQjDSP5TctPjxBwWpUiaOhOQzuNpybyowT4lAi9bvWi IWV0RDjmJwGRzeMqPHdp6FZYPWE1RkDcw1OCeyNoyMcyeDlHOtmhtz8qhoaj Bw4pxI4TkDfSEqeURkOP+Oml1glyffiKBG3KaSgj6vGcOk1AS43awOMqGubN BXzPId0Zmv7653sa/vdgz2vNGQKGxGMv3/5Mw/NtuzL0Zwng335tIGeChuX5 z+xl5glYvTDzen6Ohmd3xpy/R1qk/Fy8CRcdGUqq5twLZP72Olp3rKbja+8+ 2ybSjPUdqvT1dLS9vzNCc5EA5Xar1ee30PGp++f4aNJ6ziZvBOh07DfYwLRc IoClUBpvqUjHHdF/MtJIm43t8IlVp+OcTcxfS6QPX2GqqQMdtabPWcT+IeAY K2n1FRM6SvgP6Q+Qdlkp9qPKnI5J3dFrVJYJuBghmHD0MB3XqYkeLCDte+S2 T5o9HZV+SjVNkL4pvWQ94URHSb7vWipceRAw4KVmcIqOoouXAlxJh2b9XB1w no7ZO5bfxpKOuuD6o+kfOhYMPZioJx2v3f2GcpWOk9Iuwn9IZ1Y2+uTfoaPX 4bVyVtx58CzQ7OByKB31fBmMy6SLLd+omUXR0dFphBJLunyT3pqIODqelvYV KSH97kv+j67HdBRkj/G2k/7wWKlCPp2O/ipnpsZJt7qnJHjl0jHKW3BwJU8e fFGR9C0rpGPijcFuCdK9U1EHBV/SMV2O2qVM+pHhtgtf3pDz59z6W5/0seD6 uzk1dLTxrOXsJi3e7p55o5GOIpRnTy1Jf6byV1u10fF5s97Bg6SjzyX20bro WByzKewQ6YMlujyzfXT8vXbczpq06IpPlJoROrLtfUr+Jt1o5akbO0HHH+b2 eaakQxLWHPaYp+NxhrmhDuk9w2kXkZuBYu9HT8mTXqVpHCaygoFfHo1rbCL9 7mZXVu9aBmpF8Cdwkf633qemcAMD+0U/ZvaT/88S2zjAEWdgvCjv8WrSXC4E 7xFZBkoJsErTSJcSe6SU5BnY/Em36jZpv6UBvWVVBuqNR149Slp79y2bRk0G cu1Y6lcnPX2fcumxAQMzZzfy8pPO7y4K9zJh4EueoJYmcj09Fa1zdu5hoE8w 7/EE0irev2u3WDFwEKhp/89HuhCDv9SBgQ6Nsxd+knlyO/JaOtSVgTbrZpYy SdNSjxo4ejAQ1bdZuJFONLj/j4AfA/MUJsxbyLxGneEesohioOm3fQIBZL4P FMUKSMczcJUz92pl0iL8WrITyQz8V31h5AO5X0JiPeyi8hg4UsIyX0X6dm1H fdd7Blb+3PfahtyPRpv+GSaaGajS7j3cN0fAsqPIitsdDBytqeY7S9pnfpch c5CBn2t2iXiT+/ucXOGzc3xMjOww+OZM9oGyl2WDkSATZ6o1m9unCBguGxkR FWFizseVdWakXQ7L0oskmShhcrNZdpKAo+zQaG5dJkp7R4bmkX1k1nfySvh5 Jq6qFRszJvvN9IpsprE3EynkkgST/We0ofPz9FUmSrnJLjcNEaBjslfrSBAT ZQbStx8eJED+icqEbCoTU+wN3ZDsU0HnSbeCTiZ2VDZMhnURsGIpM8q1h4m7 Q/vP5n4lgC/C+e2WISbeTfU8XEf29WJFq+zVGSbeZOv5LnYQMEIt+moqIoe3 6+7sMiD7va73yoG2nXLYIBMjYNZAwDu/HbfuWMhheP9xD/KQhwrRX4SetRzq 8Z1x06gnoMTYQSjJUQ4fyjmKb6gjIDPZqMb9ihxu6VnzpqiKgGCnv3AhTw5v 1lnxhJcSYNEbqkChyONDGrsmOJ38nkJvsx1VHou3qxRakueh+QXNqzHy8jir 6Ph6fRoBu3i+NmzWlEf9NBtWOHmeGkkpXFq/Tx69WTObLicSsN2usmzFTXmc vHor6FcEAeLNc9YTffJ44YuNX+A1sq/fOF5/l6WAgs5vbneQ9wHJsLaTIfkK eP1p1rd1e8g82VtYH3ihgF0O//kbmxFQOqst3/1OARM3jqX//34RriTcPNOj gB/z1RMPAgG6Ua8YDDFFzHib1+OiSkDQSfEP/v8q4mnja3+shcl8CLdKsI4p IR+HLdVcnwurYOp454QyQsa2t1EmubBz1HZGxloVn8zd9/5mnANtr524bRXV 0Hf6XBVzLAsKOBX2UlNqOJrVP8NIzwQXfq/u+np1vPnixK9xoww44elbsPrh NtQPk/BonngKKq4K9XuOa6Do4US/6ew0+CCiKOilvR1Lrl5uemCdCi+yb8Yo 8u7A99fLjITEU8CXW35f3ZcdaBpSNcJuSoZVnT67PPI1MapNQT8r7jH0pUjf T/DTwkDRa8klnEdwn7mFr8haG0f3yhwROpkEoQ9dqo5L6eCveXqg76lEsL1/ tH71gA5eJpYs9y/Gw6zxk7mEUl30828YuyQaBz19Rt6v2Xq4zPsi28YlBh7p q219f1wfa/c7xz7PfgBZ/l7CrkoGuO3Ik4NeitHAtj5hzjtlgI7qNyh5VZGw vTPpKfs9YELM6GMzuwiIlovJem+OeEpyVbAF5T5cKwuONi9CdFGRKCrsCIe9 W62f1FAN8WLj7lfU/DAw9Kg6IhxgiD8Yg+H780IhQdyRWjdliEbDo6cv2t4F 6pvUSIsjRhhFkTZ5di8YQpVey38sNUIz3oTmz+OB4DLB11gtz8KOUc9h5t47 4EiMSwXcZeE9v5XVqV85cPqm1aJZGAujKhWXfds44GWV/2n1PRYGPS8T3/+R A5wpr5DQSBb2psms5nvLgWztuYWoOBYa/KeYdTWLA3Ply60pGSxU7Um4Ve/H gdCPq4MrqliY6/HwW7M4Bx4+PuP2bzULmxOYfH0bOfD4Yj1rVy0LD009WJpe x4HCjaHztfUsDNm59YIUPwc6bde7NbWw8E/nftuAUTYwerawvvewsM73VWpe KRtU830oyX0sFLt0YaHrORt0/DvmnAdYaOc7LCH0jA17GHG5g0MsHL4u+94z lQ2ep6QoY2MstDCNfft3KBv89G7M5U2w8FL64ZuBd9jgv+Z788UpFl6/1bSi +jYbonMeB87OsjCujPfi7stseHSdz7V4noWXl58fCrrAhgxLZyO/RXJ8zop8 jWfYkC/zVsLgDwsTqF+9N7mxoXSCPre8zEKKv0XBMUc2/A8jO+vQ "]]}, Annotation[#, "Charting`Private`Tag$10671#1"]& ], TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], LineBox[CompressedData[" 1:eJwV1Xc81f8XB3AjCik74y4UpRJR2edwQ0aUVSmRHSUjCpXKSkUSEcWXq4EU JaGsQmY2915KWRWyZZbf/f31eTwf7/cf78/7vM55Szues3DhYGNjI7Ozsf3/ ++iKI7eyc44O++23hl9beLWr2immRyhRYGl7lWv4fo3Oak1ZKIXyALqCKMsj D4d1NsQV5vHSM+AnKNTevbCo86gimsxFyYKzmZ9iLmZxw44J55hVt5fQ8So4 16JYEL5sSP230v0KjG1GrNpvS8DmJzx7l5bfwPVWvX4Vd2k4o+1/dp5cDFd+ hDxJ+SAHrzu+Zc5S38NslvoVla4dsORp2jvlVg4p8heca1qV4T/23qh5/UpI Pk/pTUnYA/ub7m750/0BtkNb5vdCdfiZZFg5e7oKbu1fTfu6RwduO/89MbNc DcLUQ5FnonShfdk9fpJcB8o2GrzjMwYQ8ImkNJFfD9+yJOf3ThqB5L2Oht/U Rti/wP5lLeEgOCog56hbMwxUc9xyYrcAjuWg5tlLLSD+oIa2/NUSOr5ZE2f1 W+FQdmvCgw5ruPicr3i6uw0KZWh9cutswThumHv6v3YQv1eUvcfgBBAuVlpN ne4AER8u1aiHJ6GCemFyYrkT9FYwjVh3Ctb29Mv/JjNAz67Eu+CwG9ArSv3H fjIg7JiJdWqbO2Q/Sfo4ms8EtSsuqYP2HmDma2Y/Qu2Fc2oPzNLTzsJ9npL7 P9z6QFWU+uiArS8UXDD29RP/Bm94vsTcNPWDhyP7JGYufYPI5zckRfTPg1eL kNu0/ncor117k8coAIQe1nJMdfeD57rU8fqHQbC8oTDLW2sA6Jf19RMrg2Hw Gu3Q5H8DkCirFl8xdgkK3a6kTpwehLRm1RAVmxCwVVHVGF8egtgtRTJjGtch vT7NZ5T8CzJiPaOHZyNhNumNQt/tX3BJPSAwoOEGGLg1DLQt/oK5mNXXHY+j YIxz3rqkfQRMhLgH/rncAjVtM42oyDE4dmpthKTIHWh5ucIhPzEBQXdSQvru 3QMh4DnJrzgJLkG+UgXEeNCUi9eIdJ4Evgc5sz5Z8RAzmzUT1DoJxIvrPz2r SQDVu50ujjlToFDW/XVlUxKE1O8wVrafgV2GVVemRB/Bs/y3cjkJM3C9jH18 T9kjaEvS49zSOANBC7N77NxTYbPb0ffi6rMgkscecPhDGtRzhimyCc/BysUB azuDdBDT7hFqrvkDeUWOM/bamfDiZVTPGcUlUOxzvhDJyIYRoZHbxqeWoClX fVGXmgPyAcY6W+OXgPK6fvh9bg78p8WXPrC4BKam17omw55DXN1tV9vqZTCM J/1S13oBAQN3pgxP/AWPcysPq4fzII2vIVRQnw1VOaqqJUsKwA1aH4z5cuKp qqnzGw1LgS3jT0nPLU6U8WmnY0wpJK0h9NZncuIXK6uiZ52lUFvnSsrq4kSD 0uUucZcy2Gq1kuGisQZly9NanCPK4ae7/POv7FxYc0Nv59+fFeARd7msJZYb N7s2vcmnfgSvoW0DBS948FbcYfVKYi18O8lYV1nHg99Halr2HagFS/oNxaZB HjTxd0t74VsLag0/AockedHqnEF+8qda4Mx/LCAWyYvRuTmOdj51kHRJWueC PR8O3pLlEamqh0phiQfqAvzol7nOM9GxCXilw+T71ARwrEQk97BqK9Rq3d11 RV8Ap0enNc0MWiHiaOo+ooUASiXxFWofbQWO2CLD454CuCnqSOdscCss/Rtz 634kgLdduYrLP7TCaK/1s2YOQZwJP6OSdbANGpPkt1U0CuKwAeH7ryPtcLNA VdmeIYiNNgbvONzb4UCLrvq/IUEkVPsk8l5sh6q1J4y0VgVRSYZ3bjixHd4H xJ4uUhbCm+Z5b5u72iHXajEr774QyjUPHTI73AExAg0K6Q7C6NOvZ3dZrROK 9xHfmHkJo7J2QE+AYScMnjwHK8HCGLtUUHXMphM0c4WtjiQK47fb02k9fp3w 0+jEZf7PwvjjqPD6z7mdQA393RyoKYIZxtqrTsQu8MoGW3kjEeSUW6GNK3RB cuvdwQ4bEUzcHcbvqNYFk+S9i7t8RZB9LFmM07ILUt9fkRl+JoL3yMXeOyO7 YGFuo7+FmCi+c1TTpYx2gSzRcXVVVhTJPQIme+a7wGx/QVSusiiuLawf283Z DY/jjqauOyiK1uJvl39IdoPFrvRPZaGiaN9VcVHdqBty3XdLbp8SxRqF2fJL 6d3g2GNVztkohiRVq5VcpANvyvezPgwxVCxzUSswosMrWy9C37AYFtc+eJ5p QQdOZmRgCfsm7D4yc3q/Mx0y6SUqPvs24RGYvnw1gg7DnZRnXzNY61X2y3M1 dIhJyLUxzduETWXc5x5/psNeaw2uktJNqHnk0w/ookNkh6VjAn0TftymJrt3 iA5b2yMIphvE0T2p1HUbBwM8WsZiiwPFsfVfA1NNjQFCsYEgHymOi+GXv6Tp MKDEnHs8Pl4cBbb9HpjezwC+ZrKJ90txfHqMpGt3mAHPmyy45IfE8S18ldc/ zYDx+qLA+EMSmL6p1tUngQH3b+pv5TgpgcH2MWzpyQzQMW7rOucpgVuFr1SU pjHgTt2oikmEBMqpyq6WZTFAqZY0zv5eArmrLeP63zPApzrM8Zy8JPpZZ8iX 9zGANGjA/UdFEp9tJmqGDzCggYMn+xJKIu+W5HnNHwzYgtFTUcck0fAnX27w OAMYJQlXM29JotYAs1N/hQERjCObtydJYmPkjr9xqwxQWZCozc+URI3XOodb OZgQvSd1Y3mpJLqsEfggzcME3bwnqYwJSSQIPEgSFmXC+Gd3PYcVSdwIU/Oj m5iQ8ltheHidFK739eQplGTCnMLLnbPSUvjUqi6cTGFC1uO37zdYSaFD1mCx kQITbKoCHRIcpHD24GhI/g4mcA5oriGclUK9quNX+HYxwY5SYbItQgrXZL53 u6/CBMGUWia1SArtC+0/8mgxoaz45pX6Kikc3RAjy6XDBE+6qczhViks/C9L bwaYUC3aevrkiBRWfGGwPaMywVf1Hv/QHyk8eOd6pZc+E8iW1vmenARUXoKw rYZMCIxlLFwkELA8lNvS35gJci9THq5uJaAl152r60yZ0N5khxF7CHjnmsJM zEEm7OTrj7xnRsDxnX4j/oeY8D18ROzFVQLm3rGYzbVmQkzm8xLVaALafL1L /GLDBM2PXiffPSDgmwJZQbajTEhgm3lc+4qAbbEhD6RtmaBHfmNkXk7AVLvj 5pTjTJjQvvC7s4GAVu3PBYVPMMEoeFl1YJCAiu13/nbYMeHPg1L66SkCNpuz Hcg8yQRaUcilyb8EnJ6hfXOzZ8Khbl3KBV4ivi6md5MdmPB3jrPqrxgRd1Dn tBtZzhapcQuTJeKm7AOyZ08x4YjKDT4+Jdb6IckkDkcmrLEwfnlXi4jT+VnP b7Oc773eUtyIiAFqij58TkxoTBYOzLUhIr3XVvkGy8NVkml6zkRMM+1vmGeZ bUK6utuHiHtFDlnbOjNBUmLb6JkQIuY9lO1/ybIqVUmQI5qI+b+bIxZYNj+7 b19iMhGfe787ourCBI9EHbsdz4h4tRBOO7EcVqkfWvmGiMNaWc3hLKeOmmbZ fCSi+N59aSksF4laNY+2sPYflhrLZLkNjs9d/UpEnfDA+nSWf592lBIbI6Ih w80sjuV18ad1cxaJyKE6fiuAZZkybzdcS8JpOe5EM5a1fl6I7hQhIZQlh0qy bCMU8tpDhoTW5jdcmKzzemtFMFZ3kTDb+OGhGJZvukavxmuTMIU/4eheljNj 47comJBwyxvpu22s+ygvSTEpP0pCn+nv/E4sMwczfKxcSWj0zaX/B+t+Zzdk J/7yI+EOxk6ZUyxvdSoaEL5DQkeaprIyqz560eU8WQ9JmMq+W/4Gq34n3tbs 0skm4ZBaU2c7q953+TqD3atJaFyfmmXEysPzPb3pf9tIaFXAPufHykuN/cCn uG8k/GHpqH+Plael11PCpcskrHN4h/ms/Il8XVC34CFjn+xRwbxjTFBcx+bw Q4yMwnyauzNZeXU6seG54G4ysqmdeHmGlefGNdv3u7qT0TRn5OHVw6z6K+72 WPYnI4gK/tnO6ge2Y+qxsaFkzF0t391kxoQ9uYa9JalkTJhnS5syYdXP2vn8 xk4yBnjzqlex+rEoxDM5s5+MzkcnMin7Wf2W5VuhPknGwMANoX56rDyGIPcr LgoOtE32rLD6Xa3dzKKXQsELy51DafuYkB7sOaJ0hIKiHD8N98ozQamCZyHS joIjoTVP5LcwoWLNM64+Jwoe5gx6JCjLhG/Rg5RobwqSn7pHNpOYQPrP7siv KApeP+9UOsuab8lV5lXp7yloICXIPsmahwo8460LHyjIMLo9583GhOKDt/vM 6yiYY6RvPvqXAfSu2qW/naz1nx+cGhcYIPZLV9l2goLZY2Ouuqz5G8evmiok I43sjz2s2ekMkLFoyzm9VRr/yJQYkDoZkH/fu7hCURpV5XqP72ljQAs5t8NL UxpLJtTJFo0M2LBbjq/BShoJlikGhhUMuGkjfjE0Uhpb9azqtz1lwPW0lcOz Y9I43uZwQNKHAYeUiny2z0hjrhlfcsZZ1ntR6XfXcVEa1YVdY+Q8WO9Z/0hL C5cMKmwPDZV2YsD0FoZ5LkkGPXetJg9aMcDx+ZuDrodksDosUuXpPgboFnsZ 0V/LYP7R2t3HlujA1v4N3wfJ4vxTYpJsAB3kzrtetFLYgtrlIN6n1g2Dc4k2 fKVySFMSe+zztxOMhzwux/lsxfxT5ttmMzrAbDB2O4mkgM9aQ1evWbXDyEfH q7W525H/pPprNfk2UBTsIlLtd+JwQpKq80QL8MLcqd4ZRQw/+yGq520zGP62 nZexVkIX2/XrlCKagP7Bmd12hzKm+GmUOVxvgDc3qk5S5pTRL5o3T6miDly5 /L99/rwb2+kafrcWPoGTb/Cb9ckqKLMSdU3yTA3sctv+2fSUKnr7Vz0ksFdD s9AOPn/1Peh3I5tyLO4jvHtxPWUH515U/Pc6+rvlBwhmVzjU+GUvrte1Pzot VAm8vUEHvAr2oVzHfLD/l3IYeiIdn3ZJDa9V9iQ79JdC/FaJNcXW6ths0j0l MfAOYpNdP52iaOBHP237DPkSsI23+7z+hwYu6Jt88YgrgoX9jxfTyjTxietW 77DFQhgY0rv4IVIL67sCeabuv4EMbWWpplPaWKbq9LVXuQByw/0F3XbqIP/1 6TrTlVcQae1kwjmng/mm45EZ3/OBNQ6yIpsAvxuH1r+vyoOkbSm5TSaI2Wcr JWkpLyGkIjrJpBjRQzPcbTQ7Fw5KWT+u36yL11fK/jj/yAFdr0/HBaN0seGA DknZIRvSCI6bG+d08RxX1GePrmew+ePT+2bH9VA3ebOW3bWnELvzg0JbmR4G 7aVm7zZ+Aq4za1rrFKgo2HFj00eBx+CYP02JukPFp76JDq7smXDmuuWK8V0q /s7mr+paoYG/ZUH3+ntU7HXgSz+wQIMbc/4xsfep6LXxY7XSBA1eqC8uJz6i ovOUSq7QFxosVq52PcmhYn+jWDShmAaxbeujqz5R8Uo70UHflwbJtLPuEXVU nK+8JDh4lga085+pBxqoSNvXtTPsNA0KxWKXGj5TMdgz73GtAw16bYXd2zup +CT8TrijOQ3kBySo/QNUvJzXncHYQQOlgiBS5hBrv++LzzFbaaAR3rPo8oOK /LZeJ/U308BU/lHerxEqfl/99bRQiga+nhTS1BQV4xeSu7J4aXBJ69riqxkq gmGYqAc3DcL5+zvOz1HxKldPwXYOGiS9pN1aWKBiX4io8OvFDMi4usatZIn1 v7+kWi/OZUDOYRe9SytU7CB0/oapDCiQqSHq/KNiUHWb+7rfGVA2I7e4ukrF C/lPdNt+ZsD/ALJhdNY= "]]}, Annotation[#, "Charting`Private`Tag$10671#2"]& ], TagBox[ {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium], LineBox[CompressedData[" 1:eJwVlnk41O33x2XIMoyx1BOh0aNIUhLZz8lkSRLKV08otEwSScgaRbIWhbRa 2tA6QpGElC07oZQ9S/Yx8xlL9ZvfH/d1rtd9/3Gfc97vc11Hye203TF+Pj4+ gnf+P94977Zc8+gT45aYCx1mJVpGla00KwdaDBxwoHxWeTlt/PdTaQSNdhP6 LBx7flRSgXKt8KVoZxYsav17XIG9Fu6WJawRpOWAg6HAfdGpLaA+dfTKX8YL 0GuS6ahI1YfvlHt/ljry4EUBae+MIR2UH4noLCwWQODGkOv7bSzhlJGfJ7Gm CCSP5Dh83WkLr9p6H8zRS0ClQM8ni2MPCx5W3TOM96DaGr8iExwhY1l3DGFa DjJ7sz4tJbrAzvqkdZyOCphtGGONNh6BkTTz8jn3SoiMO+z73JkB8Ud/O7EW P4LJQPOSm4EHtC6eSJ5eUwOmvyq0LrHPgH+V4pYpZi3E/H5HunvYF+Sut9VN 0D+Dz3/f40ZZ/uCmhqRfjEZwj7bxdr8bAvyLQY1zIU1glBBf8uFVGLT12ivM mTbDx2ywtAm+AAFPyUWzHS3AcK0+oMB/CSyv/Vw+m9EKzwXy/pMeiQL5gPL9 M+5tkF6XYB84FA1l9HPTU4vtUB2SWV+tkgBC3/pVJtZ0wQ5u28Eg9+vQWfbO b3ykCwzrnmucLU2G3EdpH34xv8Lq5YJHnGipYO1jfXiM3g1pH03XpJNvAu3A hmejYt/BzfF6nEXKLZg1Elgcaf8O+efuyF1UvwOpIsWpw4weqNig7GkWmc67 t/Q5u6oXmtWaehKzMuDO2HZZVkgv2FncW/dPbCZ4NUkxZk37gHOGbFbqdR+k 7lTzz3T0w4Xx2rYniY9hkVKY4204ACkbyrWln2bD4IX7NtMZA+Cz/snebY05 UMg4f2/KfRBsX5gEs9SfwkGtbfqTi0MQfrDxq/mDl0B/pNTn6fIT1MPP3iFs maAuKxE9UfkTbKrc61pIefDnz2j7eMIwhK/li9L0fQWZtelnfq0ZhZdVvxdT ogthLq1ArSd+FK6OygU7nnwNZoy6gZb5UQgosp04ZPsGxkmEfXHrGESPtTzc vbkYdI2s9WMuj4Ncw9ecwY2lEEc+ygqZGwcnvrM6H3Tfw4+uwKferhPQINjC TltXBpH+DxUPGEzCmol8ER8sh6YXS/wqU1PQNKs8Q0/7AFIgckhcYxrs4hop HtqVYLA+Wf/y0Wmwx1LLoPZKuDKXwwpqngaLiNSXzoqfYFtS+zG3JzNQ0RV5 IrK1GsJq1S01D7NgIHJIZfJzA2QzX69/ksKCp4m+MjduNkJLmglp3WcWZM05 O6RvawJlxoGSVXpz0F5YN1Yh3Ay1pEgNPmk2aBhGRfVXtMBKo29SjZ844K2W +0Un9Aug8vEpi98cCL3SLDO68AXcyTN1FVoEVMjamfwJ7ICSruWXCjMIWA7M InpIJ7j5byXuBnHB02/FdGPiV3j+IubbKY0F2Lc202GE/QPGpMbiLV0XII7k XS9xvgdU/C2NVZMXoLK05L9kUi9kGJIzB+YXIFB4WZLYlV64VhN//ODHRXiz Q99QLbsP/Aeuzpg7/YYk34clhyYHIJ1cFyFpyodpydvir+aMgLFRsFP4IT58 arhr0pAzAt1eG7WnzvGh1WuB+5Mmo7CqJe7n51w+3Nlv0LqnexSS0qx2RVOX YW54T8hFyi+IWNdA+fttGQYU6Gj9PTUBDGi+Oe5DwmBR3+a4hWngy+IUf4sj oUdvWLG7/AykCch31z4goUZXdSfZeAaqa44r5nwh4WKG1/XU8BlQ3b+UdUxf ACPpIsQd/lkYOaHy9McyQXzIyCPT52chvM6qvl5OEI3Uy3+VrmTBKg2fyRIt QcyuG8gY02KBBatky+1jgnjReKJqjycLckLtChxqBNFhM2NWrZsFJ6+FljYl LsdavSL3zJw54Gdn9bzPWY5zNct6Ssvn4JZDNd+LiuWY+bq88ELXHNTKS9MT 5pbj9fHTuzlCbNj4OLtq1wEhHI9WME12YUOlSMOI7hkhnPjR+rHdjw1Op1gi qrFC6C9XL/02lg3xmsZWy0uEUKpKne39ig3jb1ubKtYIo3DUtyexfByIVJyf YeoKY8XW8u2/pDggf0FROtNWGEVpuxWnlTlgZeZuHxYhjLfJ+q3D5hx41vSn y2BYGGN23bNIjeGAmZbyohqfCGoJBPbRbnLgR8oueTlZEUxwntayy+YAxTH5 ENdSBLdSxJ/mfuSA19CGgfznIsgZas6BJQ70HuoSLq8RQZGwvf6KogTs64zW qB8UwWIXv+q0fwjQrRsOHJITxSrZthE3TQKe7LyRPqMtisLmC/r5RgQolpp9 /G0jiodPKso92EUAifmQuvKyKOZJjpS5uRDgr2avszZLFJ0H1mpreRAwcl/A SeOdKH6IFLr60I+AhtQjj81Yohh7Ozf4bAwBaSFKxucOk9GvVrS4/ikBopym IxFBZFRTUHn/KZ+A0NPhMVdTyLgnd47qXkKAm1tP2+M6Mvqn5l18VktA27cr C69+kjEmpfC2bTMB5vbGtLJlYmhYqMHK6iBA3eKuR+d2MTz5M8fVdoCAe+VW SYN2Yii0cjz05QgBkgZLhdOeYqjs8qm/bIKAyPwn3UvRYhi8a3tKxCwBnE2O /CIPxFDcbuDWPIcA98eiqivei6Gt6fj8v4sEdNOK9yh9FcOS+po3pL8ElEvL 3tSjiuOK0VzvYUEubEuoLjXdKI583Hn/CWEuPFoeMGhrJo4jwV7EUzIXZMNV RA+5imPAvAh3PYUL8fNfNp8MEccpf9vzTlQu/PGJsve/IY6+LzSuWktx4cy4 dvDFPB77tWj8kebC4LGhjCv14lhjnOZyagUX/teT/OnWiDhWdIytv7WSC9UH do4/IlHwmo5aRPQ/XDBoYUm+UqSgruc1P91VXHi++/7293oUHGT++zuXx7SP ds51+ynYGxT3Tx+PrxnzR3ScpqBXNqX8G48F3zCzB2IpaF7oO3ebxwGarg1T Dyn4YZqVu5bHY7nUucUyChY9Uuz25v3npFwmK9xNwZl9zaGXefk03j0NMgQF C0qUIhm8fE3+WXOMJiWBURzrPkkZLuQnNsSqb5JAHYe8S5d59aqInn+payGB qTuZh2t4/bgVsenLziMSeLbnhWMnr19iv7sXbc5L4LkIgaMFYlwI849Xcr4p gbdXjru4inJhdsrA3D1fAjuUwnS/C3HhqPuvU36NErju+eOGDTx91mms6/7E T0XKzh1vdXn6/RhbmrSiUrG0z6phiadv2uO2Za0KVEzslZZN4fL8qRSp0qNL RZrCxQLTGQKqDZM2nzelYmOgfuJ9nn+iDtzbrmBHRefi+LU/RgngT3xj7uhB RU1qs/h4HwELf8YZHXepmMfXww5pIuCN3MJp/1wqhmYbJbXU8eZHRyhgxWsq qgyHsUSqCJj1VIre18R7T3/nTXtHwK9u++xGfklUcNLOXHpMQC7X7aWXhCSa uiy2emcRcELG+424vCSuVp08WneHgMHdsdW7tSWx6EJwjXYSz6/FpSNVDEkc tim3ngwg4HOayoayz5LI3une47yTgNj8bZqHuyTxQJ9lvy9v3i2aduj9GZJE XX9CMkiHgEohp12GfyVxs7LccxtVAkr8E93faEqho4xnoD6ZgGf753Nepkqh 5xRJ6kADB65Q69QyXaTxAk0gbYMVB4q2KxRYe0njVPFpEKZzYPDQaVgKlsbQ 5K3MH3ocMHgmvd/hhjSiD03PV4UDI7ucQsUbpHHFYPoJS34O0CMmGgMNZNB0 n1xLfyEbuGwJP7uVK3Cd8LxWoAIb3L7tf0/6vBLnJLJemY+x4MzHSLfTKnLo L1ZHPlA4A0xvsX2rdikg48S9ktquKcgM9hjb4kBDsd9FUrOx43Axfcl2blwJ pSer68qHR4GvtRdLgv7FQj8pE1ruMKz3PR6wX20dcmZX6a6MH4JB9o3/kd+t R+tnW56QmwbAcuhk6LUzqnjHJ7ZAZn0/WA8mblRUVMPYQAbtdl4vjH1wC69+ thEt7534+4bzAzQkvyjQD29Cq7vWNdtSukEU2K7dLA10H3wd8zTpK5hPHCTW 2m9Br3HbFa9SOqGz4uiyg+qaSB3XYiw1foGC6MpDNLYmvvYVv7DHqh2OC/r1 NjRsRb3HUvuTalvhiE9wgdgtLdQsFY28FdYCmxkbG6xct+Gtm4R++75maJRS J/vpaaNQyNZlr1Sa4O3zi7fVSTrY5SW/aoVlAwQvU7P5/F0Hj6v6tc/y9nbR 7iALr/ztePO1j9xNr1oYeqSUnB6ii5pibnt/d1ZDsqqsQJG9Hs6dx2GHHVWQ eOt4lStNH33tAuVf9H6Eg8nODWLD+uhsuvu6THolcHc+nE8vNUDjc+wIKccP MDBkElBx2RAT3EzU/UwqIMtIc3W9qxGWfTceVlQth2eX/CQZm4zRS5TfOUKr DC7bH9lNYhsjLSi+ISy7FLS7M3Mu1wOSZ5Rux/8sgbQNt5/V70aMDqDJ33F5 C2FlCWm7ixDfkd50He4sgj2r7R/WKu9AHfcokcqzb2CHV5WjZAyPe/uPFBm/ hnR5N+XP7B0Y6GOgc0WoEJQ/PE61djTBsON+inPz+ZC4qUKtpdQEbdbJbB0g 5cNxlkBzjRodR6OGxSfJr8CNOUuLuUpHLddffRu18+DUxX1Llkl03Hyu9MFV zTzw25ffIXadjhzm18S5TXkQzfa7kphKRyf+kIHy9XnwXG9+8cZdOvrsMztx clUezJf//fLoCR2pC4Hps4tMSGwRS6isomNkxzaz7x+YcOu+54moGjrOp1SH Hytjwn3fBrpFHR3tV5t3TZYwoXBl4kJdAx1vCGb0CxQyofug9InWdjpqaAnv Mc5mgsqALL1/gI61/SZaP+OZsCU/SPHBEB3L7Dlrw2OYoH/p2/yxYTrGbZLY uDqKCVYqd1+OjtFxl6d0xP4wJvh40BRnZuhY9a7bou0ME0IML8znsejot1Fz 1t+LCZfE+9t82XR8EbqVKefBhLQX9+O4XDpqX+nzOnaUCVnhAoziBTpmePWf EnNlwhPbYyYhS3Tcc04nLN+ZCflrPykY/6Gjbcjlh84HmVDKWj//9y8d33qE 9Qg5MOH/AEekbq4= "]]}, Annotation[#, "Charting`Private`Tag$10671#3"]& ], TagBox[ {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], LineBox[CompressedData[" 1:eJwVlnc0FY4bxnHtPbKuEalkVEQi8b66DaRNVCg7lVVRiVISsoVIUpJCIqEu QiJkZO+yyYrrXuO6xu/7++M5zzmfP59zPuc88rZupxxYmJiY1v7L/zvpri27 un2mfu4anaHW7q5X0SJnYi4XDDq/CTtMl1Vh/UeJv5xcAgQ7ZlT0vD4K/NEF OdydKbDxtY1dF78NJJWFbWSTSwfbx8J98ZxuoDpjH77ulA1fuYMtiE234Df/ i7WVjlzQag0rVznyADancWktM/KhzWvIM/5eMFzV83RZ3EgGL/EEySv8UfCp tT+VRiqG50dDiQUycbB8xaSX4lQKfpo+KaXLifCSuTd48eA3mNb6Siw6+woO 1EdtWegoB5V46YNnVd7A3/jD32jOFbCs47xdwTsdQu1XLamMSihoL6AHHPsA amqflihhVTByRzn5a+dHaGFcipndWAOxFUqlhu154FUlqzbz8SdcGfK4v7z5 CxCftNZOk+ogxP3K/X0/i6DE+rHTVFs9+EWcDWqsLQVbZSRMOv2ClqvJORPi 5cDC8P5F82kE/4GYfoe7FdDabyZDO9gE5ySCn9dLV8Gt9zzkuY5mYA3/W2Ig WA/G0aPscy9bQKvG3SFNqxGkb30zpTi3QpnQPRkFrmb4Z/U8ZXZXGzxp+qQ7 xPwfJ92cnWG0AV/DgUOnFdohWumU/kxFO/xrz65hcu8Ee4Htof/COmCzS0jL s4lu4OgZVJze2AVlx9sDfPb2Q2fZV8+pv10QyKTjaFM5ABlp8d8nP3bDTBXT QQOXIfAJvS406d0D2TW7f1RojMCxa8cuTJB6wT7jjmMKcQzkLJSyxnl/w7BX R/NzhXGY02Nl/G37DUd2+Jf5nZiEOK7CuDGnPmCoFQa955+FvJvG165L9MNI 2oPHdy9S4PnEHkmqTz/co6jYzVbNgWujsNPcwQHwHj6drdMzD+YkJv5rGQNw 5qLDADloEbBgOo/CPwjiJA7KpuN0EH5ezULpGAQ9+fg8FaVVYPAXpLvvG4LY 6vTRYr11GL7/+sTsyyE4mE4OeFTAhAVOd1/MOA/Dm7/l/At8BDynobn3H2ME bu8xpHqc4URSmvyAy8VR4PK9c9GxkgtVJQWCpitG4VGru6asPg+urY23TYWN QXpNMFvDYX589TPZY3LjOJhv9beDw8JIi89X7gsdhxu0Tj9vORE85FQ71Ewf h4wA4+TGBRGcIiyaFbZMQKLuTFRbjChCM6/AB5yEE0v2DyLOimH0y03Vr7Im YSxa+E6IqDhq6x3bGxw4BR/m2Z5ouEpgCI891Yc2BbxRY7mZnJL4p+v2e3eb achz6y/gipNE9XcRDvYN03AftlaniBLxodcbWQvdf6DWorS4+oiIHQeKOo68 +wcyBja5reNEVBZpigTRGXh+l+WtkL4U+g6MGmk8mIHuA3GaDf5S2Ji9wqI4 MwOD0puyjhVJoTBwWfPtmIWg6PS01WEp1N0aszfQfhay6z+/dWSWRnu+jeLM ibPw1nruppqQNIbT0qneTbNANjtpIS4qjV96NBtpHBRQqSRbjfFJ40B56XtX fQqYF3yUubkihdwZxsF/b1DAMWupMWVACjWj2hxsMykw0czPalgihda3Lu7v HaDAgN/0oMETKQy8MCl7RmIOegr/KTjaSGHOIS/Gr2NzsFpiH/5ASQq7tzN3 GgXMQe3tUpHzU0QkiIbmfS+ag3Tzva7vMoiouiIWpTc3B7e683eLOxDx3k9V Y/ULVNA1saLVNkriu4+ft2bGUkHwS9lZFX9JbI7fT9hSR4WAnY8u92lI4mYn i2IJHRrwVJ1Po0RJ4E/Cwx1MIvPwPC/VjGgsjrQJfh5vo3koO/yPo21JDGWa E8ao9+bhsB1tt+47MXR/mf1ybGoe5DOXOV5wiaGYXo/wrx8LIOphaPymawPi ZscZw9UF+BZnYtMSuQGdeSi15RqLEFGe8MPSaAMWd7EHFLxcBL+gaNmEEhG0 9dq1mOS9BC+ox5PnyMIYavW1RfzjEujRvdUMfYQx/4BhTtTYEqSJP81YBWHk FLF2DjClg1vKYJpnrRB+yA7uubpjGY7qWVksUwRxQngi1NhmGQpH/wQLlQui opex/raYZRh8kca164kgvtzH82qIvgzh3II8t7QFMbom1PFcJQM+79pdNS0t gA2q0+LaSwxQEegucavjR57IozWiKiswYRYnke7Ljw/P8Ks2Ra5AP3oYio3w oddQBOWw5Spcv+V979MPXsw9NJuyJWIVNvB6nax+wIsz6SdMCeWrsI39meV+ 5MVL7kKfSxTXYNUpZKtBKQ+eW4322U1dg/fbDa9dr+PGZJ5af6GDTHg3ySXi kzQX6uvdsfSzZkKN1E6TfZOc2OuqsnvmJhNuWC1JyC7kRInmkNG6DCbcdeSU kr4lJ0bFmxgFCTLjl0fb7lunc6DazxX5RSVm/Cx2uy3pLgc2MN4vO5CYsf5S asBzUw7kvsD3nuTFjFVJRvqVLBzov6WBf72HGZ8lbHIydGLHTeZ3x1zmmdH1 7eMptv3sWBa0o6yXnwXZv5/NvijDjiuT4R6FBiyYk/BGpq+NDT1zj7d6vmVB ufcCJUlH2dAJmhKmrhGw9FdEp40ZKzKlLBT2hBDwQJb+8WVtVoxnle79mUpA l2O1RxjSrFhd4yib3k5AS5rQ4vZRAm4zXUlx2MuKgS9AU8qXgH8vKb7/w8yG bWcImy8XsaBfrUl9PZENXYdrdyelsqDEjmv/ijXY8LyJkJFUOAsaUovVEh3Y EExzEudsWDDd91S+eQ0b+kXTWcZ4WfBytG9JYyQ7xiZ9ivzpyows8yl9pens SM/+OCVg+d8O5tVM2eXsmGXCkRhqxIw/pUVIYTR2fLawtKi4hRlV3r6rMrLg wPPfqzXr/jDhVFFLY/lGTtQut+DgPM+EriNKQ3kfuHBCgMwgDa9Bv3UX57ca LszjaG/aX7UGpzuDdtQPcyG3RmdkWMYaaNeO3R4hcmNfaE0587U1IHx8IygW yI2+FzoPkljXIN5HXv/mBR5MuWA2rr57FbgXGu38vXlwcnt1k4P0Kvi6+QVH xPJg0SEzi1bCKtja9rW+reXBjRHRGVYtK6BqmHSlcw8ver2wPMrluQLfRCQT dAT5kKYdkyxUzgDNsOqSgyp8GP/gbW3oewaksd8aPnmIDxnNk/JaTxkQSm/f edmHD/VFcrMFXRhwpi/mx7O/fFgXQsluITJgIkOQxijjR5KbQzbf3WXgln+o 2PefZy+6bb59uUCH6n1RO+8eFMQNQ1o67Cfo8MjixR6ZU4Kodj73nwvSgSXy y+HzVwTx+EXNP4/l6bC8NuXUkSSIY3e0UuaGl2Cy1+zdLxYh9LI+T9N1X4K6 eEWlsjohFM05o8OIW4THeZrqF7qEcIlP8zv/40UwbDTQWRsRQpbbCg2avotQ wWFptG9dCMnHi9I+2y1CsVek8xd1YWwwVzrwRH0Rskzp6Tlxwii2y+HgncYF CBesVX51UQSLFW8+pkkuAHmPTP4xVxEsiVjxkeZfgGFrN1i5I4IuBaaWpiwL oJslYmr+VARVu90MqBPz8NfI0pevQQTnZIZsx4vngeQ//eu27gas3S+aEGc3 D0vzAp6nxERx+x/2eK4iGijI2K6vK4jiNfmQ4okcGhw7kBecpS6KRVZHszvS aPAm2uIF51FRjBvujG2NpsGpna+qSvxFkSmZP9b8Cg2yLu0iqlBEUUtisPaq LA1se0xLCXVi2Jy6tEsrlArciQMuHl1iSLxcFRzqT4Xcc67SfaNieL/iU9yk NxUI3YG3C5nFUf2zTvh3ZyqkdhZqeOwRx/o9+TJdh6kw2ib37k+KOIrLD78K ZaPC5capSPJtCczvl1h6/2gOPCof2ropEpHVrv4EexIFZIcPsS9oEHHiZ/iP 6DgK1LJwZfggEaPq+4Q3R1JgC4ZRgs8SkWHAKWzmT4Guwli/1BAicth2D8w4 U8AgJ+1F1wwRMwef5LNoU0Aosbqb9EUK7XaqPnXrmIWP7rynJYxk8Adt1F1h 0yy8unNlQs1cDk8riF5xDJmGB8krJ2lT8njKb7pN2XwSmFr6sdhbAS1VUl3c ro7D1huOt0yVt2ClW8zepYgxGJ5/eobn61Y8yhFjSl4bAeORy77RHtswZ1yw 8/b1YTg2HKkiK6uMpZ+08weEhmDiu61fdZYKtlhrRw4ODsAOoXYZ0oXtGFmj PMCR1w/cMG/TS92BuckCxotWfXB4+tziJjM1dB4KcY499Rs6y+2Zz6mq45Fr 3gJ+N3sgP6jCWm5eHXN5L1b/6ukCRzbP/oaGXaj7qunlyL5OsLt2J5/3mQb+ 8affTW9th51OKg0mNppI+P1ndOVxG/wSVuXx1NmNbyu2tWfqtULRhweJqgQt TFSJtaqXaoE7zMon6n5roXjyl0Pci03A3ett6Jq3B/lsYtiKJhv/+7nyMck+ 2uhwKeibJKERYrZJspLNdPB0i5V0xM4GiHzmWGUjtxeDE94VTMfWwbkYqwbe sb0YYvZ5g5VsLSwdeENPLtFFu2JW5E2pgaGR/bfKA/fh1kxWTjHzakjRU5eq t9FDldTJjkTOKsgK8BRy2q6PvUK+SckjlRBoZneEMK+PNJssb76eCtjd+yo9 sB5QIk335L367xCvlJhVfwRxTV6nQn6oHO6VhcUfISM+OlcZk7XwDY5Kmb35 udkAXx13lRXf+A0MXKvOCwUb4P55j/O1dmWQLG27uW7eAOdUPK0jjpbC5u9v 446d348rHK6BFmwlELm9XLm5ZD/amw4s6XUVgyOVtalGmYTpZjnspzKKwPbj nFxwBAnXf+xxCHtdCFcfnF4xjiLh1a2BRfLJheB5Oq+D9wkJ5eQFbn5+VghB 857hkXEkHMrYKD0WVQgfdOiMp0kkVH/5TtjcrxDo39bb0zJJ6GE0bHrbqhAi m3nDKqpISKcpnKiQKIRnr10uPaohYXz7m/sPNxTC6xsNJMNaEtIum/AcEiyE ArHI5doGEkbcv7qlnqMQes+JXGppI6HFkTLnyQUyKA5JkgaHSDj9/HiXUxsZ 1PK8ZVNHSHg9b6uVXhMZ9gb00B3GSFhvWL5rQz0ZTBSTcsYnSPglNrepsoIM 167IyVIoJFy44tainUcGn3336blUEuab23RL5JAhgG+w9cY8CU27KTuXM8kQ n/06ZGmJhN4frSrLXpMhxY/VqXCZhJm/3FnTksmQedJhv88KCafEoyNDE8mQ t+mHjP4aCVVyrZxvPCVDCXUrfX2dhL/63cKtnpDhfxV5ks0= "]]}, Annotation[#, "Charting`Private`Tag$10671#4"]& ]}, {}}, 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]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.873794072102227*^9, 3.873794119695024*^9}, { 3.8737956187294273`*^9, 3.8737956432083178`*^9}, {3.873795748345068*^9, 3.8737957653815117`*^9}, 3.873795878695096*^9, {3.874406630707654*^9, 3.874406641388542*^9}, {3.874406737751082*^9, 3.87440677188197*^9}, { 3.8744072720976686`*^9, 3.874407280276093*^9}, {3.874407551550393*^9, 3.874407580459165*^9}, {3.874407778807519*^9, 3.8744078901846657`*^9}, { 3.874491058721566*^9, 3.874491079489895*^9}, 3.874493803055895*^9, 3.8744964787182617`*^9, {3.874496986687258*^9, 3.8744969950790157`*^9}, 3.874497122941259*^9, {3.874498319221292*^9, 3.874498392114354*^9}, 3.874575404663147*^9, 3.874575714028183*^9, {3.87458049872861*^9, 3.874580532421237*^9}, 3.8745845227190323`*^9, 3.874643395170041*^9}, CellLabel->"Out[17]=",ExpressionUUID->"2b73a078-958a-4db5-97c6-3b13b7839335"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"A", "[", RowBox[{"e_", ",", "ang_", ",", "u0_"}], "]"}], ":=", FractionBox[ RowBox[{ RowBox[{ RowBox[{"kOut", "[", "e", "]"}], " ", RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], "range"}]}], "]"}], RowBox[{"Cos", "[", RowBox[{"myDelta", "[", RowBox[{"e", ",", "ang", ",", "u0"}], "]"}], "]"}]}], " ", "-", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], " ", RowBox[{"SphericalBesselY", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], " ", "range"}]}], "]"}], RowBox[{"Sin", "[", RowBox[{"myDelta", "[", RowBox[{"e", ",", "ang", ",", "u0"}], "]"}], "]"}]}]}], RowBox[{ RowBox[{"kIn", "[", RowBox[{"e", ",", "u0"}], "]"}], RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kIn", "[", RowBox[{"e", ",", "u0"}], "]"}], "range"}]}], "]"}]}]]}]], "Input", CellChangeTimes->{{3.8744905724808273`*^9, 3.874490610433394*^9}, { 3.8744907015492353`*^9, 3.874490730318233*^9}, {3.874490796232191*^9, 3.874491008676773*^9}, {3.874491693730549*^9, 3.874491703746397*^9}, { 3.8744923097046547`*^9, 3.8744923130165663`*^9}, {3.874492603708273*^9, 3.8744926142166348`*^9}, {3.874496483578697*^9, 3.874496514434507*^9}, { 3.874497900915886*^9, 3.874497901113262*^9}, {3.874497959060388*^9, 3.8744979617764797`*^9}, {3.8744985327087917`*^9, 3.8744985361920433`*^9}}, CellLabel->"In[18]:=",ExpressionUUID->"1bd789c1-ff1e-482a-8ee3-6d28b8dd4365"], Cell[BoxData[ RowBox[{ RowBox[{"fIn", "[", RowBox[{"e_", ",", "r_", ",", "ang_", ",", "u0_"}], "]"}], ":=", RowBox[{ RowBox[{"A", "[", RowBox[{"e", ",", "ang", ",", "u0"}], "]"}], RowBox[{"kIn", "[", RowBox[{"e", ",", "u0"}], "]"}], "r", " ", RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kIn", "[", RowBox[{"e", ",", "u0"}], "]"}], "r"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.874491128497808*^9, 3.8744912010805187`*^9}, { 3.874491250624271*^9, 3.874491250927799*^9}, {3.874491712321295*^9, 3.874491712411296*^9}, {3.874492320569138*^9, 3.874492320863624*^9}, { 3.874492616920412*^9, 3.8744926170751038`*^9}, {3.87449368288767*^9, 3.874493683714024*^9}, {3.874496600768959*^9, 3.874496605264613*^9}, { 3.874497262237154*^9, 3.8744972838103867`*^9}}, CellLabel->"In[19]:=",ExpressionUUID->"b34b6885-f3e9-46c7-b40c-9e3d7913dae7"], Cell[BoxData[ RowBox[{ RowBox[{"fOut", "[", RowBox[{"e_", ",", "r_", ",", "ang_", ",", "u0_"}], "]"}], ":=", RowBox[{ RowBox[{ RowBox[{"kOut", "[", "e", "]"}], "r", " ", RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], "r"}]}], "]"}], RowBox[{"Cos", "[", RowBox[{"myDelta", "[", RowBox[{"e", ",", "ang", ",", "u0"}], "]"}], "]"}]}], " ", "-", " ", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], "r", " ", RowBox[{"SphericalBesselY", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], "r"}]}], "]"}], RowBox[{"Sin", "[", RowBox[{"myDelta", "[", RowBox[{"e", ",", "ang", ",", "u0"}], "]"}], "]"}]}]}]}]], "Input", CellChangeTimes->{{3.874491212274316*^9, 3.874491242763981*^9}, { 3.8744912749237432`*^9, 3.8744913224323387`*^9}, 3.874493681396326*^9, { 3.874496606806498*^9, 3.874496616193016*^9}, {3.874497602088572*^9, 3.8744976023283577`*^9}, {3.874497789055393*^9, 3.8744977906382*^9}, { 3.874498546539444*^9, 3.8744985786172743`*^9}, {3.8745780816377153`*^9, 3.874578082335264*^9}}, CellLabel->"In[20]:=",ExpressionUUID->"db4db487-96ba-42c4-af20-5155a072d67e"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"myE", " ", "=", " ", "30"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"myU", " ", "=", " ", RowBox[{"-", "20"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"myAng", " ", "=", " ", "1"}], ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"fIn", "[", RowBox[{"myE", ",", "rr", ",", "myAng", ",", "myU"}], "]"}], ",", RowBox[{"fOut", "[", RowBox[{"myE", ",", "rr", ",", "myAng", ",", "myU"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"rr", ",", "0.1", ",", "15"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]}], "Input", CellChangeTimes->{{3.874491352995929*^9, 3.8744915150255747`*^9}, { 3.874491554228052*^9, 3.874491569243903*^9}, {3.874491602943988*^9, 3.8744916182614193`*^9}, {3.874491736896052*^9, 3.8744918969428577`*^9}, { 3.87449192712507*^9, 3.8744920038345118`*^9}, 3.874492050014235*^9, { 3.874492080146885*^9, 3.8744920815414124`*^9}, {3.874492217979352*^9, 3.874492294001769*^9}, 3.874492506188385*^9, {3.874492673945015*^9, 3.8744926895098763`*^9}, {3.874497538541848*^9, 3.874497579963182*^9}, { 3.87449763753211*^9, 3.874497695551379*^9}, {3.874497730575788*^9, 3.87449776572703*^9}, {3.874498602952709*^9, 3.874498629673686*^9}, 3.874499492401615*^9, {3.874577378328621*^9, 3.874577380301509*^9}, 3.874577462967452*^9, {3.874577535754869*^9, 3.874577557947267*^9}, { 3.874643485943836*^9, 3.874643505272416*^9}}, CellLabel->"In[43]:=",ExpressionUUID->"fba925bc-a4b1-464a-ab0a-78ae801847ef"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], LineBox[CompressedData[" 1:eJwVWHk8VO8bpezZ92QZZjAYylIieh8KidIihIiUomyVtGrx1Z7QRlJKkTWS suS1RYudkC3bzFxrWbP73d9f8zmfO/d5n3Oec5+5Z5Q9/fccXsHBwTG5koPj /5/i/fHv42PyUIdlOaG37ixiUxrl1nzJR68CdNcdu3keFR7gvfr4bwEyPvrW T3fxIjrc4r/rvlURyq1jbKXHXkHGkokfBU9idOOApuu3+avoOv14xFa7YqSX +6A83icMuR5+MV18rgTpytnF1vpfRxXXjDVDRUvRFo23wko8N5Huy6YDpm9K kbtXRs+tt7cQz2++L3n1ZUh0vfGpZzL30DunwOhsegW6Jy7eMFUZheTOrKoM KKpAGYGcPjqV0ei/h6/ndOwrka3D2YOtVQ+Qc8Mvj9TQr+jdG22ZgKFHaKWt +brE5u/InMn7a8Ppp8gBSVQ/DKtFPIx989fbX6LuDAcOTaE6pKs5oPHi7isk XUSV43eqQ1ymOm+/myeiyx2fd1SO1KEzga07bHJfI/vV4zlbVjegED6BgLcl yWgpyvmaSUAT2nV9/jTVOxPpv1R/tqagCT2hZDmfo71DR7Mmc+e4f6I9Fypr Gx69Q4219wY/Pf2Jnrg9lq4KzULJgmW711c2o3Wbd3Skeb5Hu8O1KDqKv1Dt pbCucz4fkbjMg9P7/X8hSZ8NzwcWPqKGpIXvYcW/UIB340Df/U9oz7fq0+2e behg8BbjgM95yF4w4MeNpHYU9dB2IYZeiByicoL71nUhnd92Ig4vi5FObfyR qoQetCAbc3Q1InWV2Svm+b0HrXDLt6HFV6BRd97Cf+M9qJkjtr10sQJl/vUX o27tRW1uNwbfF1WideJmhWdZvejr7K7/9K2+Id19fWLqWv3od4tKrlBgFTJo V/98JYeFblj3Why9W48MG31ZR9pY6K3n7Q/ZxfXI+EemiC0HGwXp8RWqTNYj VGDoKW3LRm1TdmsDXBrQ9qdWvKl9bJQfsGYqWasRebh4724SH0A3vgvxN9Q3 oXvtb5hqgUPoj/ZG736dVjQ5Is7Lkv6LMh3GRfNnu9C/1ddPn9X4i1h5HxuO 6vxGcxbzfYImf1HGN7enXId+I874vmJ9j78o5OyKquUfv5HwzpxzV1L/Ii5B 6ubgnd2InrFvVB7GkNIuQ+k/8j3I1e/Jz73HxtG4xJNfEum9yD1WcCv7/Dia zCxU8v7SizwrLmefuzeOpG+E2L7q7EXHFI9FJLwfR0OtktlNQn0ouMbI+s/i OHKxCFETPdGH7uu0F96KmkDeF+Sd76n1o7JRhcSSgkl0ONNauPMqE2nOhygT tZPoydixqS0xTHSftyleuH8S6cduLrqcyUSulFsxLoJTiP4fl8i5diaa3D19 b8p1ClEPGYa56bIQ7UPNWY2lKTS2Q+PS9SYWulWi8c9OfBopnp6okyRY6G91 2KlgtWnk0pT1IWCehQpZxv5lO6dRYPe+kChlNrKXTfI68HwaaTla9wT6slHY +VC7SPiHLm+teW0+xUaD19uqPtr/Qzr1Ny+FcxNo14P127uO/kPeCgG2UVIE kk8f2qoV+Q8FV9Rs4lhPoJwuR+MvPf/QzejwMs1AAskNZX8cmvqHzCLexL4K JdDlf0LrxQVmUMpAvlfPXQLZipavddebQRKbfhxMeUugfrN1qrNXZxD/SLf4 0S4Cbd95+6XS4xnk+2D24dIggd45s5QsU2fQIRtRM8d/BLpwMk4uunEGVaTV 5+8QGUCSr/lEtWmzKKj7rrKlyQA6l3Xo7t6NsyjnBL2s33IAdX8uEjhnO4t2 FisvmO8eQGnNp7grT82isNSmRZPDA8iCr2fu4JdZJBLVO6t4awBdGL5muLZ1 Fg32fX+uHDWAcurUTi0OzqKFFd0agzEDSCXm+EiM6Byi7PHnrUoeQM4XRTSP UufQe3MY6s8cQJEe2Uc2bJhDMWiksTR3AHFozvxucJlDCSYLHVVlA8hQ+Kl8 gt8cck/pip75NoD8xk33+1+ZQxxvn18gagdQZ/61hlVJc+ibt8NqyXaS33M1 kba8OWTbIupj1z2AbK99s0mumkPe3w3UdjIHUL6NyJet43NIp25R5eHoABpf m80pwT2PbCW+8HSODyANyX2be2TmkV7epjj29AA6OPPvXKbmPAqTmc7NmRtA TzpiP140nUcTg45aW5cGUG2x6aTNrnlUIPiw5iHnIOJ53b1O7tA8OqqaHfyW axBtvnntBHF6HrW4/jd3iXcQnT6hlpJ7Yx6Z837UlRYYRGm7v7HCns6jH3al k36Cg6h//XHq3ox5NP57Sv6m8CBaIydyULlkHu0KOxXmJTqI9ixlxf1pnEfn atbzcIoPolu99r8+s+YRI4fnkpvEICqp+Cd1Z3YeuWrd+npBchDNpMTucRZc QOllRmUuUoNoXYRpBF1pAbFNjtjOk/joye4f07oL6L7cxi0u0oPoueM1vi9b F1Cywbvr50ncvEnNItpxAYVbJM/9/7ow5dsVD58FlH2q8eICeb8F1/GitRcX kOjvoglXEl8ghOcXIxZQ+5oGdJE8P6cqy7Dq5QIaKbKzPED2N/TO/lTshwU0 1rJveEFsEKk8/Pfu6NcFVOLXJeNK8nM+GzuyoX0BFSzgzHMk/8gDpprcowsI 9aU/dSL1+WrWfaSRYxHJ/N5YPsU/iDjUrr1KkFhEf0NqxfeQ+hoKqHX7qy2i uaCiwBOk/m8afPcL2i6iHi094Z7FAdSVK/yozW0R2W5OpRmR85R6mtWQHLiI kOKRRTty3mGH/tlYPF5Eix4aWXkjA6jAKvaGRMoienhT/bjgAOkXLdMvPYWL 6GjO3rcK/QPIY/Lq5ku9i8hnf93J879If7SqnredWkTZhApR2TiA6gq/fpTj W0Kmm5LTGqoH0Ob/hHU/ai+hP1arllRKBpC8dCz1b8gSUrlFb0tPHEC5bVT/ 3XeXkICh53PzuAG063l6fnbCEvplfGH+ZjTZH71k9+nvS+hKGIfPuisDaMSY CJ1bs4y4lZU5O5zI34XlwB8u65ZRJf3xPu6d5PNXPi/9eesyEn56cGuP+QBy 2CGSEXpiGW3coCyQpTWAitw3dHDhZeT+VpCRNUsgJ1qx+pHGZRTHokPAMIEm COuTlexl9PEWw6yX3DeSeTrcFnwccLHu4/bfpQTaZm4ex6vLAUshpeHoOrl/ 7I99v3OVA16P7+BN5yTQ4gadgM93OMC2+6vo6z9stH31hNToIw6oyIyO2d3J Rv2dFzzsUjlgqr/w09ePbCTrfX9GrIkDYueN3fWPsdGVsx/VHqtywqBqbatS EQvVuFyoqlzLCR5hLronk1hIfrNZ0IwRJ/BRYpsu3meh3BU/Pu/fyQnD8kqt eR4sNHi7y17+DCesiNlGaeRgoT3x3NcSvnJCWJPdbLEuE7148v7hywby/gnB UJoME41GeSS/6uCEHdG8FRYL/ejW9c/Vr/9ygqwWI7P0Sz8qDTgtmyK7AvA6 h+r0ff1IbwszPfvoCtBGd5/ePtaHxIjy1jK+leD9Lroh/VAPcusNGioXXwnv EAN5mfWgtA7K0hf5lXA9I1mmT7EHbau/QP26biVsXNz/ctOvbnQ538Cvymkl nP32wveQTTf6eydx5c/klWDcxm/abNOF6nTDdFjbuGBcq2VX/4lfiEe2mbJp DxfkcyWoXFf5hUyX1CXuu3CBCUe+ZG9zK0r5/uOfkR8XROV9eVi2uRX9d0ii 5G40F3zOtRm0WdWCjB++3Lu+iwteJvkZMp40ocSZ4pCwk9zwNXdjh4dwLTqL F0tV4nmg5Y9CcnHOe9QrVWZilswDS1vzTFduzkbbj9/Idc/mAWM91088le+Q 3GqJlLgKHpC9yCPz7V0qyg+iR0r/4YGrb2Z2q/Y/R3Oqe90FgBcSFIsOZNne w+fuJM+P9fCC8d6HmRnGBfj8/r0GJar8sL+o5/4RrQZc9bTwrv5afijjo33R vtiA5btU2a838sPJ5SLOwpoGXOQ5E3PLhh8cBB8/1ghsxBzHny3vDeSHvA+W Adrvm3D4JfZ3ViE/7HW4XTyv2YKjXp33ELQXgDCTB8S/3nbcx+zPv3RAAG75 2ucXaXVgA/pOybEjAhAg0SOkc6oD/0yjVP48KwD8/U9eruDqxLK5XxjPnwtA 1n70wEepCz/7KjKjOyQA7tpxXzeqdOPkkVf3HK+ugpJ1a+ULKL14zmraPvb2 KtBY/0Jy0+ZebPNy25rOB6vg7o2CjWEuvXjUYSTJM2kV6LU4xwQ87MXrizeU nKhaBQcinaeSePpwadS3iWvSgnCRLbq0tasPS46sya9QEoR9lNZwnZk+fNjK 7zK/hiBUS4y2t4v1Y74FcaGITYJQtD8x5fLWfmx32FUt9qAgLLHzNg++6ccd hn+c3qUIAkVPpHDOnYl1osyUJt4LQnrD1umF00wcOhzNXP9ZEF7eWLez6DYT qyRsDCqoFQRfawuLi7lMfEzg6u2KSUFgp35Z7Odj4Xyvpt38S4LgIl9V3SrP woJYTdaWVwheSr9JvbmOhd+d/JFYv1oIPgTFPVZ2ZOHpDsmijs1CMJJpeIea wMLbDL3DlLYJgQvXKuXZbBaOiczb7rlbCO5FdDJvlrOwiaVbC/uQEFQfqFXq YLHw1cykv+M3hEDa6bWXKZ2NRa4aU/kbhWDl26RDFc/YOMqWI1CqUwjO+qyI dExjY2mZiiJlthBkuNFWPchnY/m03c7G80LQqFEsKNzMxvTmo5G+VGGoejfy hIOfwKkvdH6f0RaGqwJtZ1iSBNbxnWSEGQoDZUOEaDCFwAYcl7/G2QiDvtnr wsgNBAbNx8vVJ4Xh0MF3B3PdCFw26bqj7aIwqK9MPML0JrAlVnnKui4M2upJ 3YUBBLa1z9iw/FQYIhPNX3tdIXCt4qmwVW+EIeAnNd3gJoH3DBg1yLwThmK/ pFdp9wnsdOnLiXXlwhC9raI/Op7A7dtuF5jUCEOi9MPpFa8J7Caxm9+6VRiM zvv9tzqVwD2d0o77eoVBbpo/pOUdgb2SOxI9hoVhgss91ySXwOygl+MnpoXB Ou61hnUBgX1Mj8I5DhFoeOpQuIAJPMKrcy9cQAQENzOcHcsJHNAw0R4lKQKq 11T+On0l8ERcnsZzRRFY9fjMcc4qAgd7h55JpYtAj15a0a5aAs/qWnz5qCcC d2avtVg2EPjCgoBEuYkIZNZyv+1rIvByRd3BOksRyNG5oKbeQuCrkY8yOnaJ gMbJ01vFfhGY29V1gXAWge1q5TMJbQS+oaayfcpLBHrNQ41/tRN41Rj7Mae/ CDBOr1jxsYPA9wrSmUJnRUDRYXTbpk4Ci4Wf1Je7RvJJoAscIfGDXUZX1O6K gNSxDjNDEsusWa7ReywCJpvPjWSQ98cyy+VRggisPfBpVTVZX+HdLR+bVBG4 WxMVF0me/+Lcrk+OH0RANNwmYaGVwFQLaR4vLAKUCz7ywmT/b0Q69gZ8E4Gr pZ/FKkh+Gm0JCRcaRWDvg/3hNJJ/WqL3nxudIiDn8eSyBqnPWn9t04dsEVhq kOP7+YPA2UYTtxLGRGBrXaWqOqnveq681vR5ERg9U9WnROrv6o0kOleIQtDq uB2YnE+8rYpxH68o5Kj/9ecm5/dbl9tjQFAUaOpfncY/ENhz4XvGlLQodP50 LyxOIXBiT/rP+TWiIMd5Yf/LRAIzK+4vcCqLwq/aJk4t0k9HIx22C2uJQoz+ eIUu6bf446s8itaKgpqN8XF90o9NVsVn/AzIek13B9mkX2FJ43WNqSiYzd7+ ciyInP+vroJL5qLwMshwp6EPyTcnukHHijzvwx/eTx6k3r6Ly/d2iUJtpkRg ox3pf8tsabSPvL5d097Pkpy/srf2n/2ikDn2srbQhMCjLXXOdodE4Q3rPudp OoErtiZ+EAkWhUPit1/tW2DjBaX9VficKNwL0H54/y8b680L9fmHikLx6odr Lvez8bOsM6J1N0RBdrIv+OIPNj6laON7/6komN4JvTv1kI2pM2MUsRJReHE3 5cKyPBs7Nb4xLPlCfj+j8v4jQTa+l+GyM/C7KBhFVrP651l4zuvL+fpGUXjv ZkhL/sXCDfVPmiNZopBXMplcE8nCl1PRHXFBMQhuTpuommTi3PDJl6WiYqBr V9I79puJhz3e5gVJiYGF2deU+u9M7CQrwW5QFAOX6ZDvpc+ZeO1/LLNoXTG4 vPtGbJAlE3e53f0n4SgG5aPJXRbX+zFjfL6e7ioGV+4kWa053o/P/+eTZuoh BpT2vx8Sd/Vj2TQrD29fMVCxkTD4KduP98xy/sgPFYPRcIOxj6/7cEV0cLxH shjobb/V25PVizO/ultkzoqB09ava4cedeMllxql8iUxMNix11r2ZDe2/WMy 17pSHIalGxZ57brxoJRc5gphcXjLVNyhy9ONaYeaZB1UxGE1z/q4U31d+Mni tuGF7eKgxxcotflCB76spxe9PU4cdqrMF+0+2IJrd0slWiWIw/gVpWFuoRas GDiTs/WNOMQpmI0fyWvGhZlFzZvfiYM3/15jA7FmPMOwkdMvF4f7zJMN8p+b cIC6V8KaYXFI6v7zRo+3AR+Uf5Q5vEkCPuXlpEm3fcXAM/fjXrsEfPxcr7i2 6wa+tiazan23BLCncoQvl57HFeu8qjv6JYBzQtNPQ9kR73CpqdEclQBN4XlD fulryPndy/oKDkl4vWmdDbr2HJ12tmlZUpWENTqNIWtbslFKRlyvX4AkZNgc KXKzKkejZbv7pE5LQl8X896+iXKk+4unv/CsJFz+9kZX4PkX9GllIFPgmiSc jpcLTJyqQF+cLIg3DyWhxNj1qcfzb6h7xehIV74k3JR6kazeV4OkHNHsTm4p aBxS35R1rwkF0TI+OwtIQRzT9ZM5swnVjMlfPSIiBYPxj46Hb/qJwu/MCVxa LQXDrbxBSuyfaLrkg3y6thTkekz8O2XcgpoZDFjlIAVP/tSIx9b9Qo9WrL5e +UYKJPj+UIKyu9B47XWbxlQp4FHyNRpf6EI7n02L/H4nBaYdL0uXLH8jno1N T6bzpeBwuXjDp1+/UfCJiBTVWilYpfT8zLcL3cihlbvm2j8pEF/78+Hc/R4k nTEuCdukYR3fJy2z633oSKD+tylbaZD6Qfi7v+xDHw1OXUzdLQ2i10ZqTT/3 IaeCKaa0izTYVt67ZjTeh2K+zuSOnJCGbWOPraj7+5F835LT02hpkF+28zsj x0TH3yCh3U+k4XhlJOFPvq9/Pna5hOeZNNyduOVO3cZEbn85NYPeSEM1o2h1 /ikmer7INb8tTxrWPzT8Ef+diVRkVz2b7pKG1P7vAXzHWCio3WZ3Wp80KG80 eR1xnoXK4u9wexLS8OFD7KPquyzkpSrsVz0mDZL6tOLjWSz0Wk8MJXLJQBJj rEF3ioWmp3ZP7OeXgaZ9LXeOcrORZV5UkoiwDFjwK5nYS7ERC0mKnpeRgVDB VW+tDdiIvkOmZ7emDDwdubU+yY+NQkSdHvKulYF/5quELl9go6+NT6w/68vA XcUDdoK32OiYs1w23VQGSh5Ee2xOZKMUb4Vry3YywMsihLl+stGcppvhB3sZ OBrz5cbJbjayGY0f8tkvA3oeusoPh9ho+BTFvtlTBqRO28uNchBI+ypVNf20 DKinNB+YUCfQo0WFZ5XnZCD32/6kNF0CcZyVleoNJetf1zTj30SgBn8hbplb MsC88LYx1ZZAm4Z4L+pGyMChoB/hY/YESjyyYsrmgQzMvqAu/3IlUPCBf/2X 42UgKOp9WZQvgX63jrk+fSUDtKgbPz2DyHxoP9z0IVkGVmyqNfwZQqCsWpZt XboMdEi21A1cIpCcTU/5YLYMqG5wvPEijEDXKtpNuD/JgHGan9XsTQINmzXn KH2WAduuxJmJewTa97mOYVwqAzmDA9fvRxOoaOOPRPtKGZhZetRb85hA6jlf 5P2rZGBvit+/jKcEur+2+MHNehnI13yWu+45gWZT8gUTm2Xgcs4nMfuXBPJU +xBW1C4D53NK5mVfE+hHQuZCa7cMJApSj4UmEchAIeXUBJOsZ5Ntd/0tgZ49 SRwWGpKBvx2Zb9alEohH8rkX/a8MMDZWHjmfRiD/iJgO8ykZ+MYlcss7nUCt Ag/sD8zJQJ0Jv+AUic3C71WdWZaBfdteDVAzCJTCeXNrFJcs1EpsUJ4kr0tc vFaYxi8LhZTw7MMkvjBz0aBSWBZWRpbFh5D1mSdD0nokZCGFcYtgkOfv/BNE W5CVBbpnT/RVsr+PPifipBVlQcHM5M1Zsn8Ky1tSlyoLif5n1cRJfjc9PO/Y 0GVBVK5P3pbkP97hynVEWxY0OnWi1Ul9XJwcL1zWk4WFlIsPEkn9yht3T8Ya yoJsiot2Gamvtp3t8Q8msrBbpNj3Gqn/o++W/bVmssA9LujOJOezbGHmOmgp Cz1yIrID5PyOlmxq4rIl+6teTL5Hztf407pyIwdZ4Kq//xKTfnilr2Vi7yIL cU0fNtiQfhHMVM3xOygLJbpfZ0P+76fXcomvfGTBN8zkZAHpt23KUvJF/rJg VOx9sI70Y3acyIPWU7Lwn4r44HXSr2HRXGFCobLwYe2I3W9jAo0IL8+rh8kC M5/qF0r63eHW7Enzm7IwYNafVko+D/Qro4fORMvCSFqgkr4EgSIXiPbIJ7Iw 7BD04iAfgebO9O1NeyYLq4IOdeguslGVX+uWniRZeN70TaeYyUYBrqVUm0JZ mKwTXhuZzUZth3QbdpTIwoy1l4DKazba4vvi8q4KWZCzbjrg8piNpM9d6txX Jwt/fFUNv55jo8LHxo8P9stC6yGHK/dN2Ujt+VuLQwOyUJ3u1uujzUYRb2Qn D4/KgsmHhwF/5NnI88P0Lt8ZWbiVP8IzM8dCfI3ZAsGCqyFC145T+D2539qU 80LEVoObgtRbeMFC7T33vc9LrwbxlqGrSuR+y/jrV36Zshqe7r7D6j3MQvbC WpduG6yGAfl3h29IsNAL61djL1xXw9HU8+OR7kwksFv8xSuP1TC1/6hJqhUT nXS6svPNkdWwXZU35fRaJrL0dk9NDVgNb6+W7lNa6kfDYWsO54athuZzPyZr H/ejjcXRrT/SVgO/Wi5jrrAP1W0Iw9MLq+HLe+nQ7fU9SMfgy4FXnHLw1ugo 5Vp2D7qjy7NgxyMHw+byz69G96BtjBsb34rIwWk9xfIW+x6Ele9kuajIAa2t sZjZ1I0yBB+8KraSg12LBUTzw9/odu+r67ei5OC/yymf11HbkeW9MjtF+hpo qYih3rasR8RQQE3wcXnQLTw8c/NCHt772JSiFygP5Jiaz3bn4yJzgaCR0/IQ n+4cKrq1ED+IeSXlFSoPq1YdxkoCGCOrZtfdUfLglSV9/+W2Uvzo5aYhrU/y YGtEfdVUVom37ufh61mpANV/oxa3mdbjTK7G/XF8CpDmWrfaKrIey717nuoo pAC33ox0CDDr8V8eI7saaQUy/wctdd1uwE9zfB8VaCiApuKHo0+bG/G4SD3t kZ0CTCaNOp92b8YvKp6a2TxVgIQB6y0ehu141VLHt9HnCrCrgP9X1OV2HLxe cU9UogIEdiU8PP6tHe9IfOH5K10BIHD8t6RzB5678vqad7ECrMB+oUpnOvE+ 08wv15gK4Osv3u3w/DcuPvV3h/qgAox6OMu+6P2NGWm6zd9HFWDnleaPJeLd eMWaHJbYjAKsN/wXKbCvG7+b+cT7QkAR/ANVytRaurFATql14VpFcOULrtOp 78HBQysb3A0UwTj76vOTf3pwj4qF80ojRQic7lkTKtSLP0VW+mw3V4RXRRpx xLZefNi/6narvSKkSVgfnC/sxcWazdWTZxXh20mFu7UxfVjLU8bhySVF0J7n e7s3pw8/inHq2nRNEayynSqe1PThE3zto1fvKAJ7qTvHa0U/lmP9FhF7TtYX VXCdO9KPTycM7NYuV4Sr3/htW6hMPHe//9n6b4rAsZ3Vq2HCxJcu/x4wrVGE dT+O32PYM3G4+88rO1sV4ffD7Dy4xsSPFEqy/IcVIejAbFFsJxPLCRUunhlT BLuO+l1eE0wcv5BrfXlaEQyysszb+Vj4TXtaz30OJZjmFFpZp8fCuTFPxLIl lcBEztqz6ioLG9+MPpC/Wgl4ChYdZx6ycFHIvbelikqgXppuWZvMwhWOYWaN dCXYH849caGahZulAgInTZQgQl9eoE6cjZ25fT8vmCnB3jsXzWypbNw1eZif 20oJhqSynAP12ZjV6JIgtVsJ+Geo6MMeNp6OtKrfcJjs57J7gMJdNj53xVwB +SiB8NSNHW2xbLwUYHrMyl8JnOc2W21OZmOeXfqcTmeVgOnmXjFXwsa3kM6O g5eU4Hi/zOCeGjYWXqsRc/SaEhQVzx3Z3cbG0sJKumfvKsHAToePMMbGsYur L16JUgI9+2R9XTK/KY5Ifrv5WAn8k1udK3kIrFYl4BGboASjfxUF+uUIvOHW 9P2CD0oQpTPe2raZwPlnxzrK8pXg2PSziEkyL24+Nkyvwkqw3iC4KXsngS23 9RZ3fFOCR8nV0fIHCPzdsFOQWUPW0zRpqTxE4J3qrU4jjUqwFJVrLEPmUwee mr+LnUpwI/rmipenCdw29dWEp08JWjsTjDvPEdiNWXZDmFCCWYqlcWEogXub ipqkR5Tgt0b+6OYwAh8pz6MojStBfegzy8M3CDz4Pue4+j8lsE0Z0l17h8B+ rzI/rV1QgvjAhYS4CAKftd63Io6DAj5yYTfTowi8qWQPnbKSAgpx0R0eDwk8 o29keZabAqig+9CDxwTOeaPk1cBLAbv4cuPgGAIHrOa5qiVAgWsSZc68TwnM uDP8PEyQApXNR4us4ghMLDV87hSmwN03Nh6Gz8i8H5jXvkGMAjb7BKCZxAf7 n89GSFAgqsXWiUbmfXnHcJkBKQq83lmerEzi1m/H15vLUqBMREu3hvz+A5O9 e5/KUWAqaeu4Bol3ZRoFTspTILSjc8SAPE9IhRKxQ4kC3UlVan9iSb0f8KS/ UabACf2/L5zIfsN5R74vUylwo3qdRyDJx/xcI+GkRoH9HaEnjEi+S8N5PNl0 ClhUt1S9I/XId39BW6VFgSoOk+stpF7BDeHmXtoUoL3/9Dqd1FPP4sTBz2sp 4Nfjqff//yNGP+69JK1HAXstp41H/yNwiqZxnL8B2V9WUZntFXI+zyj5XzdQ IOhveU/3BQL/vjoydW4TBUQPRovIniRw3FSjRJMpBVa1dm8uOEFgp6P5utpA gf/WtyLhowSu23H9xO+tFLD0VeEsdyHwneITtzdaUcB6Yv2A2j4Cb9O3fxtp TYGNW06NG5H+K5ZVZm7ZSQG54E1lAYjAF27zrny2iwKfX3zKf2BI4I1LI5Tp PRR4eGub/rG1BM7qy3dNdqSAgf0XcZoigV9m2DcJelAgY8ggu/8fG7spbxo/ fIjU75xKQ8QIG8s9UBbFhykgENV6aLiXjaPOjtoE+lDgQaHB0fwqNr629UbZ z5MUMP8hvZQex8bw0a9HJ5j0y2x8BhHBxgsa+5avh1Bgh5zeiuarbHxKRGWT 8UUKcJmKbf7mzcZebQXZ8eEUmF62GJPWYWPLgD8J3jHkfCNR2dk0FhbG2coT T8l+Tv65cjaGhVuEghMuxVPg3tFN4irhLHw0deHFw1cUaHmv1ODnxsK3WPwv ytIpkKAbb7YswMI1rrR4pVIK2CplZG0h9+mjVLZCajnp1482+tObmNh9LuXZ hkoKOA5wVDiQ+/jvY91nO6oocOxiZSx1rB+LN26OO99MAc+foqnTN/qxg/X+ 2JZBCuR5Lie1v+3Dik/k5Q6NUMDX0WVb/J0+zGb9jhn9QwFWZttpKf8+HBJ2 JIZ7igIxnduAqt+HY/HJJ/rLFNj5R3v7t4+9uGv9vUcREsqgGSp1N/l9D/ZW KYuyMlGGnCnp1OPjXXjdx2Ltys3KcEGi5c7+5C48Y1P01dJMGQ7RJh2bDnTh W6fzliwslcHV8ePymcpOnP4102frLmU43rLK6tHDDjzhF2du5qUMV2a3nNJQ bMOhBafHje8oQ+vOj9w1RBN+bE/fo9OhDMZ99rKpe8rwbouqVXsDVeBQwDbX yeiviJIVwdF2UgX2Ed4+1Tu+ob/ye6cOBqtAu2T+ogXvd3Rv8leX33kVWD2R liRw9geqesXOuvWfCkQUC/M+dKxBlitWOpXGqID3w5EE1eV6ZIyNEnVLVWA2 t/vZF/8WxK+1+ORTuQq81/6iJVzeglofFd9FlSrwxeam5IJMKzrjZ3VmR5UK xEsnT5cWtaIchX3bjzWrwNzNw9vbeNuQzoWAvy8GVSA/QWuv4vUOpGKUZCIq QYWr95I29z3pRsPP92ocl6LCkUZ2f2deN/rAwyH9VYYK2sPRf160daNtTU5/ QuWpcMD006VLa3qQn7/Ayz+qVChc019+O7YH5b0+wVu7kQpypw74Rt/tRVcF 5SY1N1GByVjR3pvSi2xPVnSHm1Lhr0zgxsnKXtQFSvmbzangobnH2IWzD3F1 1B3PsKFChBD6tzawD+0SN2i460aF76/L/73a2o/kznYXDRykQo6b7nvWgX7U 9/tOqsUhKrwbvv+eGdyPgtOZYYveVPBsHN8gk9yPnm57bHgikAoSM8FeiJeJ WJfm4mzDqLC3x3rdwU9M9I755mZyOBXKLiyom1cz0VnbvcFcN6kganY+rr2H iQTl0uwK71LhjBN1UF+AhfQ+HFjBeEyFmMuU+iBHFro4VOy9KoUKVf9ZFIz3 sZDlkyR/lzQqzPLX2XROsJCoxb0zqRlUeKq98uKllWyUGO9y3eY9FbiW2mb7 lNno++7pN7cLqaAVqCK/wYWNHix1ZLQXUaG60s2n7igbuaWW5WqVUMG3SL9X KZiNxrgiK358oYLU68rEzgg2kv2kxVpVSwXvJyu46zAb9XqJj7rUk/yiCLrI DzZKFZudSm2kAvXEmk0rmtlos28Ft20rFYJu58WvHGIjPtl0obg2KrhwZ6aJ TbFRQ3m01HAHFd4k8ag0LrHRYUUP1Ts9VHAYD6rwFyOQzg8r7Y4+Kqy3+5S3 XY5AM2d01jNYpP7LJXGtKgS6Uz+/tWqQCp8Hpb8I6pP57VKvrfwIFZbOWTRn k/lOSeub/fE/pF7vl/1WmZN5MOyRl+AkFXp/hf5qtCPzs+7F467TVDBxZF3a 4kAgi65Dp9JmqCCuI7f3MJknWw11w2wXqZDV/csIexPoZb/MnbhlKsxEV6n/ O06g45FL0cOcNPhQ6TzfHUjm28Efr+7w0OBnZ53k93ME+vo4O7WDjwambiOm 3y4RKGprzHvGKhpQ54Qlzl0lkOtYaMEFIRK3mt3o+I9AavFHyqpEaPAa34n6 e4NAf7fv+CEvTgNH0zH13NsEyvun33hckgZJ5b5Im8zTVxPl2gulaTBSPVG3 7z6BbHdz9gmupsGLsfM/10YRSHqJPei6hgbAMW5ZQObx7pSa8TQFGmyQQZSZ BwRKcfwwt6BEg9BsqwOshwQ6yRW3YocKDawLhub+e0Qgk6yrAs9oNNgezfOv mcQ8bsfER9RoIKrgv+sXiesEdsmZatBApuQfz10Sx37coHJXiwbf/f3WjJP1 vLwUNDu1aWDzIi6Cj8TaYlx62utoYGBrdaSO7Gf686DRRT0aCBA6r6zJfot9 6s2qDWiQ5yRic4rkc0vmk7WCIQ1ymM8P7SL52pfH7z5hRIN19OiJTlIPxcD/ 9n/eRAPOf49WKNwkEFvhuIfQZhoE2tnHCIUT6PObtT8igAb3UPl3T1Lv6LUT BuJbaHBFxvOdCzmPY59y4x9Y0ODzKo39M2cJhMzO8clso0HhD/+fG08TSOq7 aVDMdhqctyQ2KAQQaGgPZ8eaHTRgH3t+/7UPgR573cik7KHB4Q+loS/dCHRi xGb1K3saZKsJmcs4EWhLsMg1VUcaaOjscVi3m0B/rj9y0HSlgUWJZ6cd6ccv os7FaW408Bxrue5A+vVpjILmWg8azOvFTnDqEcgqNXFR/wgNirao3LWiEEjB 4Kh37lFy/oa7FnukCTRRqFW/0ZcGW+/HvlcWItDzmuxE0wAa/NLmD4+cYaN/ Y8U2VudoUNJzQcqQfD6rz4V9+HaBBrwsNw4O8vl9tXKbkm0oDfIdx8/5Z7OR nVTt+K4wGjzbLtNp/oSNkjZ2xjjfI/X7qF1X7M5GF0terOy8T4MhHr2Usl1s tHe71wn3aBpsvvU5y8+MjZZdhsDrCQ3sBPl0i8h94xg6yz7xkganh7/ete5i IW2+z7v/JtLg3a1dRx9UsdDKyMsFQUlkvYGJgzfzWSjzJW/EmTQapMbwfg56 yEK8FVIbruTSwNtOvm27FQt17vz1fGUe2d/K/Q6jeiz0viWOP7yABpHFBnqb FVnIfYDaeauY1GNGyax/gok+CuqFPfhOI38PXtza85SJvPfubEjqosEu8VKj Fe39aGPLnP5yNw1uZ785al3Wj/hckh469NFA+VXZJdvUfpTsybGfm6CBr23x 0+vn+hERmP3bc4wG0/mTR9qk+pHPfekRBS5V4NcXvLwJ+tDx6i7eBxqqwGa0 8Hkc6UEmu28fG9JShSFe9KjasgcJ/jT8Ya6jCujxn2BO9R6U3nH/3pieKvB4 lDQWs7rR6JC5lJ2JKtyo87/39lA38hdIUhGwUwWb4dyOlUldKMjK3/TyKVUQ qdiysl6+De1MmuEQOKMKL+Qkcqu//0JavFfLo8+qwil3q6kjIb9Qf8UDm6RL qiDoHSN6qqEVOVjm76+5oQq0Ad7GNVdbkLEFd7D8M1VoHy/pK6prQiu2PM34 9EUVuo6Hc608VoOiN1cqjUmrwUR4q0uodCryiTFqt1utBo84LTzyLJMRTKY+ ylijBpcjfuCE4Ndo9O19oeMUNUg96lximfocbZNynmdpqIG0UqRBtcVVtDQ0 3NxhogahcQIt/v8S8LEY8XtfPdXgyeJL7steGKPJAwvPM9Rg0PdK50BqA5Z+ KNA4/k4NxpkdCpGLDXh4/ce3Fu/VQHiiZWJuZyOOPSPqOPRRDYpXTG8RH2vE 03OlWRtK1CAyJ7pVT+8nzuCke1c3qsERIZv3+5NasLzIeP3cjBrIH5g5dsCB fP/KjE/eMU+e1yYu5xPfgb/vsgl9sagGu34+2ijH6sAhUYkMyxXqcFRIUMXj VCdulHK8HrlKHU6MJEcG3CHf7+QLTeiK6vD4WvMLwr4bz2qEJ+3bog69kzs8 O6x7cccbke42C3XYO8jDU3ysFxdTY2QPblOHra7T0Qdu9uJwhbSbPjvUwS33 x93yyl4sKdbgG+qoDtg7SWS9WR/WmVFY99ZXHTQomtdN1Pqx2Omkozp+6lBc 9SPrhlk/nhxbl/A+QB0+3rAsue7ajwuGtogXnVaHScOQybjIfrzt97HJhlB1 CDl8Okd2ph97Vnz4tBCtDttutxVw5jKxxRY0duWROiSPJdzeWcXE9OKvGrwx 6nDGvMZ9Wy8T/8lrjxWLVwehvCuVZkIsfCGd86Jasjr8SaHmmbuzsLvm7Q+p KerQuGT1dTSIhc2TJEfXpasD41z8QQvy/Z8/Qd19UzZ5/xET3rFUFn70YIfZ rkJ1+E3fe9x4goXPirWc/VmkDg2m5gt6XGzseu9gtnOJOpiyzgw1SrIx9cZJ 6uEKdbgU4TQktJ6N352P4T5Xpw4JcbmNLoFsHD2jsnm5QR1K+W9+vB/KxsGn 04LDfqpD+l4R2vG7bGzqj9n32tTBLkPsi1QyG3/3ZH571a8Op8/kZev8YuPk Nse5RZY6RHxLL2roY+P/9nzXdBpQB/4dqhHqo2ReMs+8LTiqDk7zG6d6OQms mK9ceOSvOnQJr7e2XkXged0Hw8Xj6pDPcbrLXZLAucpnd5z+pw6iW9rsn6mS eTlm6GLtrDpojr5cKNMmcKCYW4bGgjoQw9NBsevJvM65RaSLgw6C/uOHHLYS mP/sB7RxJR28iu+kb7IhMOuvekAUNx2aXj85VLebwAndgvWWAnRIUfYq4nUj 8CWnUM4EQTqUmAUYpxwisGvdmO68MB00o67Xz5N51Wibl+c+MTr0PhgNXCDz rHRxc1SmBFl/77RAWhCBJw2ty/ilyfqPFu4InCFwfWbBxCFZEssfH5A5T+AM dR1akRwdvnwtFG+6RObd5y/sZRXo8KD+5MLmqwT2kZH4L0iJDjzD1KdOZN62 ivjvQ5UyHS4Fnuin3CAwjXeGqUajw7FrSzWPbxF4RaiP9BU1OoxoRu/5TOb3 7ukOy3Y6HXadnvKOvEfgz352Z9Zr0QHfWeSTvE/gWFZJUoQ2ybc6cp1FJIFD 3AxaB9bSIaz1TRstisAOzW/4turRgfYCcb0nsf7O1UbxBnS4cupE6h8Si1bc PjazgQ5SArtq20g8aroUs8eIDhEXpQJOkfjHh4DvaZvosNF+7l4hWT9Zu2+O ZzMd4kOsdd6T54e/3qflAXSY0Xfd7RRB4EMKX10KzOnQTo1dSL1LYHhofEfK gg4hjLPrM26T/hBKL/S3okOw98UV7jdJf4QpjXyzJvsTMfItCidw60KkAs2W DuiIbUjVNdIvp7h2XtpJB624w/o3LxM4ejj4UusuOvxIh6TJCwTe2eHy+84+ OmSFBwy0nCL9Yl8jwnakQwbHlQa7ANIvVQBmzuS8vL6/DfYlcHmBasKUGx2E QkS86g8S+KX+k3o7D5J/qo4PtwuBQ1MFVqQcosOeA9WJhD2BjZ/+8XQ7St7/ 14H/sxWBZSU8oz/5kPOb/eKWAQSeutVUJn6C1NOsENkZEfjduTxaZSAdhN+U 8LzQILCq8zXW2vN0qGnjfXiZh8DCGQ0hhRfJ+j4tPygLbDzDqbLK+jIdfHd3 RB4aY+Oqt8VrPf+jw0XhzpP1bWx8anYx5EEE6Z+/587ufcvGbjt2rFKOokPn pQJ+oTg23pYQ9yz9AR1utyfG+9xj4zXWm0orYujQI8xKFQ9i49InIatmX5F+ +uQeIk/uh7Thymf/vaHD/SW7bQs0Nn4EMuvE39KhdnFq6Aq5T44RH+y1Muiw Okf1Xeg4C4tunHh24BMdUnXaw2xTWNit5cS60io6+EXlPfThZ+FtWp9Ld9bS wWyTQuLXCSbWCxXc115PB8Pqco36TibmVk89O9lMB3sb9fHed0ycFkyUqvXQ ofJuhIrEXiaekzq07/YUHTS29N3+d70f9x/LZsvM0OG11PSo+ol+XPOZ81zi HDmf5OE8vj39OOHwi/jPy3QQG1BY2ylH7u8Pnew//Bqw4sRfv87kPvzY3umc vaIGaD3IYD7L7cVXRnvUf1I04KRj2++4x73Y94bvz31UDVjOMOZyCOnFqPDS Oke6Bqwa2/xyZmMvZlNfs/bracB62t3tgh97sOHE2B53Sw2gnn1g8etNN26J vK3l46cB5nGh8RuyOnCJltSvwQAN6LmuEpV6qAOnfokP9z2pAYwrjb8/SHXg 0NmsnuMhGrDQMqUQEdKO1T1aH/tf1QDK+023Txm14TPrVLlOP9KAzncbDCTe tmCZ2qKO0CINCMlJ4qZva8ALh3Sv/izWgOIOXBYxVY+7Z16pa5VpwFqo/l74 sh4nq9wMaq7UgKoKvz8+C3V4Y/BePu16DciSGMjzca7FzgqEflufBjyP7U9j CXzHcb5itw34NWHoM+VH58EirMLnZTSwVxNkS/UduX6mIvGz7yHQQRPYN92N Xv/MQCsHV2ybddKEbo74SvbgO9T/I8GB300TSgukjKwH36M3Eb9PahzVhFEG 28qKmYc0ZVwyjl3QhB1V2ToP+0qRntoe6mCiJtiVCBgevFmDVB4naAYlaYIE f0qvLdQiCb4x3bm3miBqGeBVMl2LJgciQCBTE96P1Z5bk1WHctOrD2jmaUKJ qPzKsNUNyHi99ROfak2gD2yUn+hoQlu2gtDQlCZMFZfrSKu2IZ13IYLbZjTh pdGzOPHANiQrn7Xq9ZwmiAQY+OQWtqHRCWUB92VNkMJH1v7d046evFrJ28in BemPkv+Inu9AoysqOQrWaIHLnrCCtXld6Jff8rKMohbo5S4Pay93ofI2w+VT FC1IKTqysXzrbxSTnbyoo6oF5zI5z36o+Y22et6ae6mjBeJ+9/O++nWjmJId k7fMtODTylZYf7IHhWmHT7C3aMFi5KWVxVE9yC+maHyrpRbk/prqFMnuQVsD 144tbdeCm53Shot/etAoRWw0yJ7s74D62pXHetHWy01sZ28tmGxWuuhl14fW DguyPx7TgmMxJiDm24fknCxYkse1oMpJYehCeB/6sza3vyZAC3p30m5GFPah 2N+Pe8zPaQG6u0/oiWo/+rPZpV3zrhaUXz64c3CwH7X9rZ46H6EFpQj42JxM VP4SRKsjteDONwWJF7JMFMujZuH/SAucXV7+s7BgIsuavxnvn2uBg9tjnf1k ftC9fOgb10uS/71Nz9a9YyJ5vea+fYlawDw3pFlazkTjDwtkZ5K14PEmnqfi I0wUfyD8qkm2Fpw+yiz3MGahmyKzcXdztEDiv2vyK3ew0KkS349duVowdv98 jKs7C21X3T18uUALIrUyZAyvsdDU8BqHL+XkfLqvMK9VspDthSyNnS1aUD+W Vb3DnI0MdWhbn//SAl7GryJHMo+pdD9y+9uuBVfEB+9Lu7HRzJYL0VHdWnDA 3EU9O4TMe6usFpsHtKC56G2oawob3fucJ0Mf1oIzdtmNfLlsFOLP0Ds7qgX8 P28WHy1ho52NYt5rJrQgZ+prg3kLG83FdtS5L2jByjM3xV2X2Yhpazf0bkkL wq32uifwEahuqYR7BScDTo46GMeIEeiNZ5JxIjcDDOrX01+oEChSUm7fFC8D VmnKcGVqEuhCxR1/SwEGRFkgjgAy7+7RDEokhBnAkbd+mteMQKYd/UVGYgww 8esp7rIiEP2e469bEgzARhE7vHcSaGnMRFhblgHKPKH77zoTaOBVJv2SHAMa 9UOzNA8SqGmfypZaeQYs7Fq6cPYwgd7m8YYEKjMg1bhJU8ufQC+sHCcnqQzQ OvZf2sBJAj35+SYgRI0BKV1qJ2xCCBRxaHp4ns6AvAJe110XCBQ+ZnEsVIsB 3wxajs2EEuhS6EPmCh0GcFUn3thyjUCnhZge4evI8253p+qGE+j4U4Mufn0G yOm4fC29QSAvjTDnu+sZ8NvOsmn6FoFcPjY2i25kwM9og8rqOyR/C+reB8YM cCxbHWt1j0DbG4NqZUwZID+43corgkBmHqU2TxED/I5f+k69T6CNf8S+Kpoz YIdsFSWcxOsuemx9uZUBGrrp226TWH1VVrGqFQPuBi+Y6ZNYMYbD9K01A5xV p4UukfWk1HflMWwZMDJhmOlLnif44fn6dzvJ/vlKNBbIfri2/MnS380A9ZGx q2tvE2i+brPOx70MOHrmTgn3TQKNu91LMXZgADXn/cglku/gcKdakRM5j8oh 0aekHj3ntF+ZuTBA9+vqDc6XCdTKd1HpywEGPI69dqyQ1LP2UdXTbQcZYIlr P5WQelfQ5GWrPBlQp8yt73OKQEXZvg/sDjPAqPsW8YGc1wcoEG30ZsBpIfpQ og+B0moE7jr4MCDXb+VOQ3K+ia7O/G3HGXBT/5XqCXcCRYXMcvYEMkCTRb1T todAN3msL3mdYsBA8ND2fhsCXX7wZI4dzICehS1dyVsJ5P/OcGL0PANMIy+N Kawn0JHN1/2DLjGA+7tBWg2DQG5VzUNTl0l+/tQsKo1AtsTp/oX/SL8YWSsW iP3//54vBy/fYMDyeoOqRV4CGXNJda68zYDLFkV2zEU20qDk/BS4z4D9GjOB rwg24nEar5CNZUDif8fedOex0SLTbEtcHAOkDxmd35nORpMnI7HScwbEP9K8 6PmCjfoi1n1SS2SAaldM9cX/2Ki40u+tQQYDNsjy2l23YaOP+4pUP71jQPl0 vy7DhI0y+oRebnpP8t/xaDSEwUbPltNizT8xYMy+tF9AkI3OGQ7d3lXKgK4r uk9kyP1yvJjK8bacARkdjS7GuSx0wNr1FGcleV7wdVnx1ywELtWu2T8YMP3k 2cGeKyzEE5qpLfmTASFPq2O4N7JQZMXJ2hY2A7ZrCGx5+oiJrtqlbVk3yIBX lqHGmleY6FRr/8cbwwx4fQrUg3yZyGFw3wujMQbsvODJoYPIfSq8MfDpHAPe xRuVHujrR8n7FsTdhbTBgr601K3Yj2K7DK5/FNGGu+VXu1W4+9Ft7xPzIuLa IOO8Ol5lqA/5ne3qK5bWhvFd5dwHcvuQ/rPiHBWKNoTVu1EqrftQUX+YA0tP G1CiFG+xVy/6eVIo9oSTNiSq/WgePNGNOk5c6Fvlog3W9B2hBdu6Ua/3ECPl gDa8NL8mb03tRqMu3zDLUxtWcJubbsr8jfi2/sd0P6ENXpUKxWfPdSFjycV1 e65qw2FP2X0ls+3oRc5w5YY0bRg68kDrdWIzepPhIvYzQxv2ojPXlm2aUXry d+eTWdowJZ0uuDT+E+XHJY9k5mrDFsP1fiPoJ2oM85LQKNGGY59Z7Z9/NiKe fR1ua5q1waOkyurEeB0StLNJzmvVhl8RQhfyHtQhcev8Mcd2bRj0/XOsZEMd UjJ9EvagWxt+OwUuSU7WoI2q9ilCQ9pw1eGopdP8D7RZqWwidUQbbDq73TlN fiCL1Xqm2/9qw8MtzvbGF76jPUKideFT2kDbfU/t6PxX5MQbulp1RhuoPcUG h4y/IjfOUc+yOW2YSfp+aS6kEnnNu6Z5LGqDRh2Psu7HCuQ79WNqeVkbcqLc jQSmvqD/AWZqxSs= "]]}, Annotation[#, "Charting`Private`Tag$150086#1"]& ], TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], LineBox[CompressedData[" 1:eJwVl3k8lN8Xxy0lW/Z9EDNiLCMk2nSPUihFWUObFKFooSyl0IYk9SWUbIkU KpUilxJZkmyp7PsyM89YQ+j3/P6a1/v13Ofc8/mcc+88R9XNd98xHi4urqO8 XFz//5XoT3mVkvgOXXuuVha3mwJDKk0KlM/v0XPBuY9/VBSg5MCKsAROMdqu eKS3fKU8xCZtGpFU/IACVMvu9ojJwbEfvjax5qXoSJSHW5mGLGyUynwrfBaj erENXlo2MnCd7nPbzLoM7U8Zfrr5hjS4HkudKQsqR7TBeklxVSmoDN+oFSr2 EUUfkZXUD5UE/fTmAyZZH5Gp0VJ65pAE8HXxf373/ROyrYzs6GwSB7/F9Nnz HhXo3pXKKikHcfhNMdExWqxAT3liLPy7xKDA6fTdl/RKlNSdee70cjFQOC9U 5VdaiZwNnu1S2SoKV/97PK9rV4WMh7QD3oaLgHPjzyO5oV/QpLHV9wXqSqjg nP3vhHQ1upYQJ+gaKgy6oiLVGrnVyMPqr/TZPiHgtdqql9lag6yenkmqKBOE U17tR918atHmZIVYuQ2C0HYjIEGFpw4ZcA8ts38rAM8+P116wPiKLvpprVas 4AcHJPn1v4hvyPGFa9JJmRXQnefApbWyAfVe2Nxq+5oPZEppCgJODehI7cnb I458cLn9w+4qVgM6nC6w6fCT5fB6LNIja/135M7j3TJkuxxG5x2vXA3/jkJE gvK9eZeDnfxE4Tb5RhTscXNts9cyuEnH9VT3RiTkNl9xjroMSo2jh7nzG5H3 hw6+m+28oOmgrlhm1oT8niWcT3LkhaU45/DNfs1Iv0vX5uFxHlibrvGQUtyM ipB5q8AaHvB8MfVmfnkLKpiw/6ozxw1N32JGi5JbUO5s2cCeOG7IFv60d11V K3LwTnlo1soFHZRYbymJHyjzevXkw6dcIKF94Oqk6w/E3193fN1lLgix/FP0 YuIHSteOnyF0uWDvNW0VXeWfqNGy9VarwT8kIXvPf7/vT/TE5u1Hi6El1Phk oSai7CeS0Nlwd/jhEtpX/dX/t9svpK/hAIfFl5CdsF/tjSe/0fZNWdUM0UUk 9bBNpXD2NzJszLDjbVpAzQzTgC7LdtRdHmMZfH8B2VtLqBox21Fns3CTAn0B OcQVBvTpdSLKqILbK6e/SIamVCcS1olelBfHGND/otZXV1U3NnWiyzG6ApOz 88ixxaEu1r8LLd/80EosZR7pRC+IrTrQjf5L+skpnp5D0c0FxYVXu9GRh8Je W+vnEFPx2PGded2opVx7a8WTOfT8+ddi/3/daJn6KYGHB+aQ7reU43VpPYhz VVtysGkWxcjairvV9KC0DxMPbryaRexDK0r+TPQgm9N/Pk/cnUX5HF9xmlkv WnJIoPM7ziI9CdOSwMFeFN0tFZ498AfFOk8fFxXtQ/2OxlN/av4gTnqO+GPj PlTkcP7bUMEfVLBWwqPhRh+6Kvx2xf1Lf5C+fZ+4hnY/MjYL8qlT+YPiHiaU lNj2o8fpucoFgn/QxMAuj30h/ah+8cmg9PQMehlQWHLxaz/Sp5WlONfOIIP7 Vz2afQfQcPI1+pmLMyiue4OE1/0BlD5bt1PUewZN0Nkl/8oGUPHK7Acy+2fQ q3cOEtoSg6g8QfnIfqMZZPhb48OVwkH07P59U6/paWTc5D14/NcgOhhf80pq aBptrM0XteIaQqm0HXShn9MIFRu7yVgNIdNntHUtH6bRzmTzFbl9Q+jsgENv fuQ02n03Si9WYBjVZ69Sir40jWyivu33XzOMJBIV7z45M40cgh2foeBhZKcT eyHeZRodcfHY2ywxgjLPFrQz9KaRu21u0Lv1I+i4m7hnx+ppdHwXkZFycAQ5 fvl1tZwyjXw2nZ/xfDqCWLf+PaXyT6MLlOvJi6aj6GlGggu9bwrF/M4aUD89 hn7vzdTflzaF7jSNiggnjKHIxy0zlYlT6F6t7vrxkjHkGOaTcyhuCiUWv4ks 5meiQO6N++fCp1BmcuUam1Qm+rXa3+mN5xR6cldw/7pKJkI3bboM3KbQ06g9 YQpMJuots8d1LlOoILi1ud+Yhfb/ELpubz2Fil0GAwO/sVBdGK0ly3gKldpq ZRycZiFOyq5nc/pTqGzXqbptFDbyzbHXdNeZQpWbZpRFPNhoRyzyv6g6hRop fBXpS2w0VqgZmy88haZYEisGZTjoi9wwJXpwEv2Rv+4fqMlB+Soqbuq9k2h+ +98+4c0ctAldPlHfMYm4U/rK1h7hIH4WtXF7yyQS2VMYdCWXg9adDBD+XDGJ 6Hn2bEUYR4liou/TH08i11P3W2xPTCC+Cx5uMj6T6FCSsNlQ8AQKeDNUleg5 idwqL78MiplA6xZOX1c+NolOKJ+4nfZqApnrx/7WOjiJAuo3WBKLE0gt/MPl HTaTKFb3d0lk3CSqO3ZIc6fhJPrEVsosL55CKU666oVzE0jr7wXV4W9TyM15 uOLG9ASKXdGcItI/hdI0ynzsxyeQq0pkoovwNEpJNKpvGZ5AU3tnYqZdp5Hk vECV9w9yn9f1gZpL00jdQKv5zcsJFFmu+cdagjwHSWN57OcTiPM14lyA+gyi Ina9Qs4EKhnc6PtpzwzCpokC1o8mkJ3cE/cDj8hztLqzVDVqAkUEh1rfgT9I 4kATffvhCTR6/VfdW7s/KF9u8WeO8wSyubduZ6fnH9R9dvjrP7sJpPh8zEz7 zh90nNPUfMlyAhV2Om783PMHzR/70lOhP4H6TfVWz4XNoua60yLW/8bRdv6e +cOf55DEMNR53RpHIcxw4zVtc+ir9p/n666No8IG9XOLo3PI4Z+0LOfSOKIm +rASxebRk/Xda9b6jSMurdmuRpd5NM9qduPsHUfvd4l+NpuYR9c60zYZS4yj iTUvuSWX/0VC+75wTQiMI00p+y09sn+RigPfhmTucXS/PentRZO/SHXzqpoi Dgf5n1R/+ubGX3Q4fMe0cj0H6d02uU1ftYAoJ3VLo69ykOfZ7toZ/QXk5jP/ iR7CQY8cw/k/my2gYRO1Ky/PcJCISvWVI14LaKxZainmEAeNFdidS3q9gDbm fqB4r+egrEbv/cJWi0hPjvuU7VcCKcok0TgXltAZ5T/fTLzY6M0vmu/eW0uo MJm7rdmGjWwePX//Mm0JCWT9ykfGbBRBL9/rX7OE5DomW2J52Yi1cTh0nvIP /bjm4qiaxEKlh4zal+F/KDHzRzgXZqICuxM10WFc4FrDl8k/PIoWjXT9PkRz wXRA5krt6lG0U35Smh3PBQIiggPUp6OovyPkiHUuF0Ra9qO73qNIziN2VryZ C4q2il0KZI6gK4Fv1RNWc4PB5ZvL/AeH0b6U5eFpX7hhoFiSECsZRKn3X/2X 3sgNe759MP98fxCx445kZ7Rzw6BhSImd/yCKvP7h62MON/Rea05frjuIPvr5 yz2V44FU6SXFwocDyGDbwPOXnjzwbPHnbu+AfiQ+XNH2iZ8XHBu/OSaK9KIG /QjdQYtl4Bm7xv9E3U8UiBc/UlP4oGwu8ExE6CsUvN/WsHy1AIzfLVhmZNGI 65JLbq1dIwACRui61oNGrNi5eujxegGw/n77/RLRiEvdZhMjdwmAb7B/x7aE Jszl8/Cf7WkB+LvNsUyvvxlfuzRUM1giAGaBcp8kzv/AcRnBR4TtBKEKnWWw Q9px30D/+0sHBOF9UW3Vu9p2bEjfIzV+XBDqE3Ty9il04JZnKlUtgYIQGbFf ZfRNB5Z781nn0SNBWL4zaeIRqxM//CI6qz8mCGe4tUPts7txNisjxjFMCEJX tu5+M9WL581n7JKihECeh0/ktWwf3pVuQem4JwTi+wwU7m7sw2wH1hO3J0IQ wq+qyAztw+vKjMpP1gnB/MvIWUGBfvwxrnoyXEYYVg+lWlVKDeB2Y8Kp4Kkw JCl/No8VG8K6caarJl8Jg1jSVTXeNUM4lHl3YN0HYZjbu69n9+4hTE1bf6b4 mzD8IihKXjeH8AnBsKjKKWEIObk86e2/ITzTLlXavmUl3PGo8jzfP4xFwzbS BJpWgqm79X3lW6M4zorrtHTHSvjakxe/PXsUy8hWlqoOrYQ9h/U/r/s0ihWf 7XXe+Hcl5PoaffabHcX0Vs873jQRUGl1H9t5eAyDVsK/r2dFIEKtUvTgaib+ NOW6+9dFEYgJ2ai2uJmJd2Bq8uB1ETihyBo4YsfEVnZ5Rv+SRYBtJ5IaHMbE Tpc+n9SrEAEv2L5v9DcT+zVO/o6TEgXNv9N7b4az8OSDd5qPlEVh8y3e194J LBzgEXo+ly4KXWYiRWK5LByyIChZsVkUdu96Npb2nYVvqFN3TruLgvHzD9va KWwsND6UwO0rCr7Zcx31DDaOKX4+sDJQFIrebi0LQ2x8z2bDFfVbovAr49Z7 hhsbpwbZFDm+FoXl8+H60ZlsTNsuw+eOReHLGeXCiEI2zhJtt/WrFgVeMDA3 qWDjZ5kexI0OUdh2u1KY3cvGrh5IsoNHDBp2dxvuVCKw5x2HnSLaYhCrSH3+ 7SqBU3yEjpSuEQOP5Fx9IpbAzeZl508ZioH1J4cdLckEhiXNx/UmYnAtrr9i qoDAst6L/2JsxEB48mX+pTYCW+14KYPsxSD7Bexq6CFwmKoHg9gvBqVb99UO jRKY/aPB2fqoGOh/ldb2XCBwpVnma9EAMbhAxK5xEOHghVX763CQGLzEkzek JTjY4O/KPt9Qcg7aqxr9VpqDH744L9ZwQwxoPOm+GYoc3Bito3H5lhg8PnEI WKs4mN+zx0QvTgz22ZQky9M4+JzyLu/YZDGoaw5tkdfk4Kdz/65AqhgkXF+W xdLm4O7mwvucTDH4T+jYQIYuB1tFKVfa5InBtibrhLdrOTjseFM71ysxGA/I W5Qy4uAi0xuTBW/FwKfhznu79RxMmx1XES8Xg/jXTNXgzRzs1JRlXP5ZDNYa jpcf2cLBMXkue07XiIGr770MLeDgiptix1S/icExKY2PLaYcPO/+Ofh7kxiM GOrLH93GwXoQFHeljfTD/kxmoxkHH6esydHvEIPLIT2H1HZw8IOZPtzTIwab 4bm5kzmp//v91juDYuDcvMnplAWp//lulumYGLjJascct+TgLTd4lk0QYrDh kc0g7CT9OPpWIX1KDCY+vzuwSHLOFh/9fXNiYPQ6dzx5Fwd3yqta8CyJwfoz GY8UrThYarrl4EsecbgwbH8slOSdDZH+bivEwXUqHypIvpyLoiWExeHeydY1 YyS/uTaV/lFMHB7pqetPkcw8kvPujLQ4KNANt3WRTDU52EBVEIfP9l/dn5Hs JCc51KgsDqm/Zu65kBwzWbUYRhMHuX+sRiaZT0V9iNRaOjknb6QrHyZ5Pkdf u09HHJY22Aa8JvNfc3XQ9K6+OIQM2f1mknrdDyc7bTMShzDfXbv5SE7aZOM7 uZGMZ36rjpv0p0Fm+bUMJA5r9HP2d5F+8k28e2BrJg4bth2fTtnOwZu/nnrF aykOXSOfUoH0/0w2rebVbnF4yJxzrdhK+nPw1h9JR3EY4xpeeQZxsM7E3+90 V3HInLxkcNaEg4Ovej0zOSIOnj131+7dxMFyz8yPeHiLQ+CNoB8ZZP8cR282 hfiJQ5y73hU5Qw5+3agmc8dfHIrCdKS99Dl43xx37ftQcYiOkluZSfZnarTf 428R4nDumUtQNJ2DiVVdof03xeHj+aj+vas5OHpHiaHIPXHoH8//fFaZgyvv BqQcyRaHuZuCx6VEyfppDFwIeC4OWd23jw4IcvDR97a2US/F4cSWwTt3+TiY q0eP/3WJONR9CjQV/Uvgjbpjp/m/i0OLiiQzpYnAN8r3Wym1ioPKaMdX6WoC /7D7om7wWxwKeQcemZcS+Fzw498uA+JQ0H/ao/0JgfO/HNqeP0fq+VAzUnee wEsu9asqlsThv+greUre5P1AbJ5v45UAiMmX0zpI4FFphXweEQmILTy/LWAb gdWONss5UCVgLNmts1OQwGdmtk56aUiAernlG9EFNi6/+eJrqI4E5BVuEl1k svHBgpiwHCMJ4Hrk9GFlPRvfX7RgLuyUgGFe82DBW2w8GPu2UtxGAny6tb9Q Q9h4nZp6mrq9BMwr5iTMerFx405eB5tDElCx6cjODnM2Fr7/AWeclYAtB/Qm Y5ZY+LKBwd2dDyTAs+xiR+EhFv62VzrTPI3c/3Z0pfwuFlY+PVtoliUBZcvS ZsCIhUvyS1u3FJDvv1/V1CrEwrM6uxTWVkiASvQHxupC8v9Dwz2NwiT3e3k4 7ezcGMY7zF/KjUuAXnlgjnjPGBY5rvVJekYCLv/89/3clzHy/ub0i3JJQsT1 R1ZR8WN4WPUifZmUJAh/8Lm0tGYMH1aMz2dukgRX+mm6jtMozt8UWDYCkqAY U1tkuHkULzm7fh/cLgkrhY9VLFcZxQ8SqZPd1pIwI6K8jmdoBLfJ5Bu1HJWE Z+RQ5XVmBNuIf/nwIUoSKKreDXqhwxj45mtjfkvCy7H9QtZnBnE4Jb9uXbck 5OEt99fuG8SVeu5f2/slYZ9y0iBbfxDvdqmv12JLQnX8nxejnAHsXJD+vZJL CiYdr4Us+gxgf+ddP5ZWS0GuilxuxYF+/DTvQe8pPykovGlgfJvWi6Ud0dye 5dLwODhzs83DX1gmb0IKLGQg9qO5xRTKxYww2urn/rIw7DB04U5JI4pfVHpY FSQL9NVP9gbJNyGuQDnp3lBZUPdzWjAOaEKNviuXy0bKwtatopd01zSjgAN/ +i+nyELcPMtsPKUFla6vzbSrkoVPuY3vZf3b0B7ijNqCnBxsuPtCcs9MB3rr dfKBjLIcLOloeZtadSKVQQ8pfZoc3NhPV+KkdaKJdtdlxxlyYOZJjQix6kLx NTv6v5nKQUj7F0ll627U9VghM8NLDro/8d36kdiD/Fw/0naVyEEmHrybKdaP fh3Vb9xdLgdOzytdmOv60Tbv1Ms2lXIwsNFyZIVLP5IJutRh3yAH7wvFRd5l 9qOShI0Jh/vl4LfO+7T5dQOIv+mlYICwPOTZf7Z6bU1+P1tmjKe6ysPrja8f cQ4MI8G9EqkZR+SB54GKlMLFYXTW6cqerOPycDI8rG3lg2G0w+NQbq6fPNjm aCLbn8OIGUE59iZCHo4ZvF61Z+8IWl92t632mTz05LPiaoxGUYNRBJ5ZkAeb 6hdpWq1jSNfw84EMbgVYuW408gZzDEXr8y1Y8ymA6cAd6Rc8TGShc2N9jqgC 7B26d/SILhNh1egXLlQFoCZfMd8YzkR5wvcyyswVgGexNieHykLCgi2mJ60U gKX0wi1lHQt5rZDplt+rAFpdbiYuFiy0mue+4llnBQhcSKrUOclCD/4k/7f6 pAIwF7+YaReyUFRvxvXIOAW4wG267gI57wx39a82TlAAmVsFvzp3sNGOjtUV fclkfIv/ooUc2Iin7QmXyWMF0GO6Pnpzlo2CvuYGEm8V4JjddVebZ2zUVsOU fVCiAFtUt2zpf8dGRl8YbyzKFWArbWanSRUbjX/Mn0irUQCjp0shW3rYyLPo lbddhwLceWFwJUiCQJWvpwS4exWgKjx92lCZQGqv1mU/H1SABbF3315pEqj7 +dt+Po4CzAQnOy8hAjlmFB94x0OBDcVhPhUnCFSYuvD32AoKlCU4PXt0lkAS KSZJEsIUOHVnPnvLRQLV38et3tIUeLAPR1fdJtCOmE/WynQKrF95dBnvSwKV bCt9sYZBgTcGr5Qy3hNo7VyRpKkBBeQ+KL7/+5FAKu55P45upsDLamfd1kYC xcvnbPA3pUC4dGO34y8CrfyWkXxtB4WcT7Jr7/QQaH5D4qEcGwoYX3zGp0sQ yI+4W/7engJFK6KMYqcJNJQZQ6tzpkC3qM7Bp38J1CwaMcR2pwC2v8kI5+Wg nZ8vWXJ5UWC+PEZQjY+DyoMCc8V9KUBv3fgllZ+D8gZO+RoGUuDizbqvjJUc pJZ84vv2SxTwnE8V3CLKQck27msdwylAaZkT1xLnIAm+Q/953qDApa8KXeMS HHSjeP+fwFsUqPNIPPmfFAct+dntj4qjgNryA++kZMj5XN26+EECBQ4TKaW+ shzE/G2plPeAApvdRwOz5DjI7Y5ZKE6jwNNHisNF8hzUtgP1NGRRIGbAne+J AgdZL2zY1ptLgaRIs0Y/CgdVvjB8PFlAgYiFGEsZRQ7a7LFmxfI3ZD7VJ7wS SH6lqHVCppgCzCyrtVMkazWq1WqUUeDIee4MHSUOSr2+irHhMwX6rTOLgGRZ E4XbO2so4BeScVaP5JgJqXGXb6T/4bjpL/n+smxR25PNFNilJfQzneTgA4Kv L/2kQPm5sfDVJE9ILJeN7aTAyRzZlnAyP88v/y6k9VFAfW/i1w9k/l0X53+9 HKbAUeO6U02kPoe105srWBRIPXHwfQWpv26YSGmZIOuzzublHdKfrSmjXEN/ KKCgOeW0kfTvne2A2+wCBRyFiIJS0l89ge4KAR5F0Okw/qAsyUFZpb/UKSsU obtR9oozWR/Fcy03dIQVIcxai+sMWb+7mg2jJuKKoNDluuUYWd/L9z7nHaYo wgHhswJdZP1nLMvEzqgoQq5N3aNjZH+c/Pf+DCkMQvr1+L+Q/ePsVWCUtUYR 7qhTamGBQA2rcu+/NVSESy9kvurMEMi85fH8lw1kPk4oo4HsT0NILh3bpghu l415oZdAT6f/U1m0UIQbUWueCv0mkGpubJjIHkUoiH586HYTgURkru3Qd1KE lKzDxvgTgYbH/OoDfBTh/pjw9Y+pBLJNMFExOK0IWQ+/qE8mEKh0q+AZlr8i 3Mu8FTMQQ6B7iRnS7qGK0PD62V/REAIh81bXvXGKoHjVb/dFW3L/ifQ84QRF SPKz1C61IJBUii/Xl2RyvdF/nuUmBBqd4s/c8lgRIu2sHUQ1yPOYvmlMu0gR YocCvGpn2Ih7D7/JUIkiXP779pnqKBv5zDXHpJcrwqDw/mWbOthoq80pA/la RSgxzXd8+5GNWIupgXydisDTmef+M5KNzPbz8ffwKsGN7dJ7f4uyUf6ypv0P +JWg3dvovu8/FlIoeJTruFIJlB98eP+FzUIcvg3W9TJKIHLwlWRNHQslF3rH F2sqwUe7yvfC11hoQvS7Wry1ErxyJq4VsJjoQPHDgL12SqB29Wp2+k8m+nLc 64vwfiWYSu/tdvnMRCkfeH3C3ZTAIeCModoDJrL0Nnrl568EnZoiLWLmTJRa mWy6K1kJasxu/b4UN4aEltqr2Y+UQEEi/71P8BgKWKe8Ly5TCbRvaF9Qdx9D uzNT3X4+V4KG6TCTJcMxNH/lcbhHmRLUXw9r3NY8iuxN8j+HDyiB5T2PU9YC o0iw8KNlyRplKAjndivdM4wCxngbDxkqw0b/aOUI/WHUQ93uzLtBGTTM2KMU qWFUdKfKa+dWZTBQC7/zsW0IHfOti2qzU4ZXq7VMJg4NoTKt1q9TgcoQb/vU beXxQeSfNrKXUaEMHw6YZ7bu60fzsf0P11Urg8C9e7cPM/rRpctdIyb1yvCG W33/hxX96Nqhlit72pShlq+5lVPch+KVyl/4MpWhsi27zILah94k3hd/KbUK 3q+kFq4Y6kEzd8y/Gx1bBXJWszJHsjrRpvJ9dBVeFfAfsGny+q8J7fAj0jwS VQDy1YLUcjKxB/VTnPlmVdhxeb+FsPYvrPe2jFG1RRWu7CQaHMJ+4dldpV92 mKpCXHZp0vGfv3Ck/7ul7TtUQTAvnNV47Td+/iXfy8xGFZYFlUdXd7bjyVMP tpq6qwLTdJXrjbAuHFrsP7ExWhUOhRt2UHb2Ygubs7fex6iCkfQLl0One7HY gB994x1VWOo8NxV4vxeni/gc3BCvCiK1AfJrB3vx5yNuNcapqlDE6f2cG9qH hfit0w0LVSHrhPRln6f9OMGOvk+3XRVc/WTc2O2D2LlfZCCsUxUs9nZtMVwY xIrnps//6FYFldAfJbspQzj97seHlwdUoTfgTe680xDOa3QdaWSrwja5nKZ1 jUO40ubO5fPcVIgzOnVoqXgY3+w+L1nHSwUWD+93t7ZhbOV3MEuFjwrpkZKW CVPDuPG2dl21IBVcjPec8dUZwR31n2UVpaiw86TE59bEETxlNZ9Xpk6F/d9K L9t6j+K37d2m0ppU0Aswv/YoYhQH+VQ1n9CmQqZDhW3Rw1HMFX1vXkKPjG9o EGH9bRQL1eruOLaBCglzJf9E9MYw1fJoh4AVFSTDUGPO0BgeaLP0O7iHCmta TQ8+WxzD2Z56vK9sqNBUatx6QZKJdW8s0l3tqfB62bKeU1uYeGNVwrm8g1Rg Khj9qrnDxHu31wnZnqaCnaHM+VW6LKzy4jbXr7NUCOc54bF5KwtzFG2nDwdQ 4erHp20yDiwcM/Wz81QwFeR9e2/wXmThuoyhF5FXqUC/nb77bRULJ4vmZonf oMJ89bdTxT9Z2Cv4VPL9SPL5f4w3wWMsLGA7HZF1mwpP3gZK64mw8Q4eXqeP iVRgHFerOWrDxtKnKq0sH1AhsuFMndlhNu7/edO0IYUKSfUFZd2+bBz+Qky7 M4MKbhp+HIsYNi47rLw095wKX+BhTmsVG9+u65m4XECFsQ/lZ6NayPlv/eOh Fa+oEF/1mTrfy8aLojrfpYuoIEN5WrhskY034g2Z+h+p4Lz5hm8tg8AC2ov3 iyqosO/uFM1qA4Hb4stuoSoq5OQu/bhqRuDzp8zP766jwrbMjW00ZwLv+CXo 01xPhQuLTyauuxNYZkf9YZfvVPAN1crJPEXgQiX7nSdaqZByqOPWijACh9+U Q5w2Kiw74HJ7dxSB903/Xnv+N7leO7Jp1z0Cj9e5KV3tJuujHf/d7zGBdUP8 OKmjVNBdceq6cwWBF4fWDmiwyP1g2cXDtQSus/3zM4+gAqWdqqrcSGBv7Uuf SqaoUBEpaVzWSc7rCaZF2/5QoSUkJiqzn8CCvMuf18yR8Vr7bGGUwNm/ouLb lqjgNXVVOGWK1LfDOuoQNw2a2zL6D82R+l5KXB7kpUFmyhaun4ukPuXWcyf5 aGCve+rpMm4OHriZeGKKnwYBR+x8Znk4uHDa9WCwEA3iEjeWVy3j4IgjKrY8 IjSo9G7PPMPHwbZf+8xvitFgo6uF5NwKDqZueLJZTJIGAsNd/C4CHMx8ZKvp I02DXoi+FiHIwa/5uGS+yNKA5+8PoxghDr508hmPmgINpuz+k70gzMEWzU5E qCINNmW1qG9dycESm5a3/1amQdvRETcmyb/TXnwxVqWBi9rhmgARDs7kP/j6 Lo0Gfhn8rj0kn/IVTCdW04BZwZHREeXg9a1vYnbRaXAo4di8A8ncJkeDn2jR QNdhcrkbyTUZop68DBrQvY9t2E3yPcESu0NraPDIt/KeHMkHTnuaFuvTYEHn sFwFGV+9TUpX1pAGnAfFFdYkc7aUK5w1osHf4dSkYjK/d49Prvi2ngaPT8gm ryA5TFhhSmsTDSQfH6taS+qzOlvZfc2EBoa7xVWB1C/968zXXkQDT5OuHB3S n05Y9X7LVho8Pd90dI6fg7Of1GYlmdHIeUR/bxbp72mRC3dndtCg/1LQubWk /8vaG3zydpH1Y0p5ssl61W+9uF9wDw3K5h5vUSTrmZCjueO4DQ0qHLbn2y0R WOt82CplexpcKKCX1U8TeKpDVzjIkQYvmGH5OuME/mD2e7ZlPw1GO++Z7WIS 2EbCsPHWQRpoldCv1fQQWCGwu3TkMBnPUcBcu53AfV3RuduPkvv1H2y1aiVw wPOBiEUPGsQ7R8U0VhMYScWd3u9Fgxru59+MPhGYP3jLwdc+NLAZaRN1LSFw skWC8cnTNJjetePTyHMCu+dvU6s+S4OxouJ9+7LI8yLDEVsdQAMvqQz5kBQC l/VZjLYHkX7ZRUdJxhB48NL8A6sIGvhsO15r60XggoGsm9nXaGBkn9JZdZjA gVa2Actu0sB51dkXiw4EFlZ4Zl1yiwYd3pv78rYS2OD1AR6dBBrcSLLJ15Ql 8MWxMg+hpzRIcR3ZfK+QvM/uP/F1eUaDc9TFwDNP2Fhse8z53Dwa7HXdulUm iY0zU1yu73pFAydd9s+8S2xcs3cmK6qEBg9iuJdrbGdjuSLtQaFvNPj4Wjx/ F3mf9rpLsF2+08Bqv7n37TcsnCs+N53bRPqxYTEo6TELb/GuXG7VRgMFgSnp FeEsfEz5yOroHhoUtHPaTDax8MuIeHfhKRrsGX05gtKYOET/oo/rDA1cnbf/ 5r/FxNs7j557NksDFesZu+QLTNxmrB9htUj2ywbLECVrJv43WpsRzacGIc/8 J5LmxrDVXu4+YXk1aHWaj0oxG8NDSj5HVm5RA6qFQfziqxH8IWtN7W1Qg0yT uxd4Ekbw3TWThhLb1EDl4fOfXwNHMDIN4pe1UIPv0XuU320ZwQnuN/JV9qlB 5YTq3PDnYWyem7m49rgadA62N41UD+En6zsSnWPU4JGK/E7PpwPYw3ZP45NO cj3rpFdcZzde/2N+7b9uNbAfTz5mXtSN+V2e/OfQRz5fP5T5+043znbj2r98 WI3MKEExw6wbD59+2eU2rgaJpSK+Pnu7sFesDEtp2Wr429hscri1Hft87Vxx T3M1WFXn7me8/YHPmPuaXD63GnbYrVT5RlTju1uqVo3LqMM9vVORNwMrkVfi ht/W8urQ2djRHKtThWAqNz6Pog5mMVF3TnRVIXZO7EofFXUImfCsuGlWjSyk nf8OaqrDudPjbQeE69DSGLO1fbM6bDLarxfzpQGdSJSI+eKmDntq+wozDVoR mjqw8ChPHZwVLh4139SNZP4TbJooUIeiAWyTd6QbMde9zdn+Sh0Mm4sSpq93 o6TzYo5jb9VBXYUjqNbcjWbmP74wKleHl5Z/Qma9elAeN93ja5M6BMU/lIK4 XqQoOvF9flYdKldOL7l87keT+SnZu/+qg/FUX/a2oX5UY7MrNHVRHTykTFg8 AgPoQlymzg4eDUgSM4MVVgOoSdrx+h0hDSjeF7K0qmEARSqWbKYra0Duz3/7 nRsG0ZzmtSf22zTAsrb3P/P8YdSeJdr9a7sGjH7PuChaP4zKaIlyhy00oE6Z mE9hDqNrSs9ueu3WALUNSqmSmiNISrzRO9RRAxq/j8lYPRpBurNKejneGmA8 EOGPL48icf8nnrqnNEBpF17TkzyKpsb10l75acBE0PKjlW9GUfHYNolSfw0Y 0OaCX2OjyKLrxFRjqAaMLAmYqtqOIbfK10ULdzXgq1ZA/Jw0E23fhsavxGtA +8lCe2MGE9HLvmiuSNSACyG/5g3NmIh49ztJPEUDhi7mrvY9zUQhz7kvqmdr gOx2sWM/vzBR/L3dpjYlGvDtvnSeszcLBYr/CGwp1YCxvLTA0Ess5Bpz+KVz uQbE5oRoHrnDQrQbZ2nHKjVAT8g60vkNCxUEJy4PatCA83kmWGWRhWrcBqoz +jUg+9q0R9tFNsr+5Ti/OKgBLtInKkqi2OjqvhotpxENSB3PuueeyEawNT9K mK0BRzo3qy29YqM3qoG7/f9oQBpju5rDIJucP8cufpvTgOir68F2go1Oix/M 01zQgKxjz3gll9hIh3ubaCcXHe66s2m/pAiU1i38fYcgHbxEzzpFIAJdcgrl ThOmw7r0gk33LAnk2jCu/1eEDsyFa3LHyflVpqw1Ll+SDv1j1NPWxwk0ZWz5 SUCGDpuqdKuO+xLoe37x5FE5OnSaHa5FFwgU/SjVTk6JDsoHRO4b3SSQl6zk 1TOr6JDu9HyL3R1yXr999XWdKrl+4Y312kQC8YR6yVxRp4NLdvqZddkEunDQ sG1kDR1SBo2oFuQ87tCaxW9mQAf3TmqobzWB1u6R35BiSAehI7tbHb8RiG2y lLhvAx34E2+aef8iUO1rv5pnm+hQ/vnE9vguAmUz+ub5ttAhKHG1VFg/gY4q fXEp3kqHhW+6U8ksAsF/G6Olt9PhMu+6yepxAimvfF7ia04H+uMbyUXTBPob sYpVbUkHwSk04DFHoLaFO0pqVnQoamV/+bFAoDfnlu25tIcOx/ybVi3j4qC7 zIBLbTZ0uF8dnBbCzUF+7iN5BrZ0aOE5f7yFh4P2tLt0RdvTITdX0EdkGQfp 2NWLDjmS8c2K8zWWc5BAHYCpMx3id1itUeXjoMFtr/ySXelwhFE2PE9yRfHq tOmDdDAJcPpVuIKD0tfe/259hA5hWf/xWPNzUGiuIM/To3Rw22N8uJpkV9pF g2XH6fBeaPMETYCDNiYTbgc9yefRPW8Pkiwn6Xa3yIsOwrGZBYEkT0c2f5I4 SYfkEWg/R3Ijj/mUjy8dFkNfbLQhuSDonVrVaTrc3qNXJ0TyrQlte9VzdOA6 ZnTnCbmfl1fK1eAAOrwYDI6kkWzRK/am5QIdUgVmi0LJfFc7hw+uCabDT6ke pRJSj0he44WSi3RoTsncVkHqn+WmCllepsM1bYr8E9KfXvvTD1vC6HBif02q Oy8H1eWUrXG7SoeT+TEdC6S/bxZFP7Kv06EsPrnRl/Q/de8hu+BIUu+TGb7g RQKdm1u8cO82HaymFfc2kvU8uHu3kGocHSTaxHbFkPW2SHvw8Pk9OjgdrOj6 xyQQxXLTx8pEMl7HH95lfQRa9jDSzvYBHU5n+T6N7yD7jfNzsCuFDgaX4uW7 fhDo4/0LQnMZdOhTsbl+p5ZAz5hVD69m0UFv69b0vxUEigdZPYkcOuh0pZVS Sgl0Yvi1nXYeHWJWNG66lE+gfZuXD70tIPM5eay07AmBNsfaBZq9osPr12NX 3z0ikNj6yYcHish+5HuvWx9DoPmorXqj78l+fkQzHr1KoP6uOx8DPtDhwcDH xpIQAr29rjd0+yMdOMGm8tdOkHp/nNT7WEcHSZeJQ7nkebfQ/vBxzzeyPy1X Bl0yJJBBqLD97+90OOrJ6uPXJNByjdzAqVY6lH7vETcTJ/UEDH9U76HDarHG IYdONoqvMbZ/1UcHQ8Wc6KEGNrqsfH0IDZL3hZ6ep94nNrKtXC28f4wOYrs2 bRvLYqN56aP2UdN0cFDezBDwZqP+Ey+HZGfp8Hb/lPohFzaq/8AdlDlPBwUp Zc9Tu9go7Vhqyod/5Pn1P23/TouNLF53DBECmqCq8UZs+SALJdg5Bdkpa0Kn R9/nBGsWusLu0WhR0QTlj4iY2MRC3je8W+xpmiBbHXJamM5CqOSSniNdE76r Bq0N/sdEQ7THg/sNNMHQsuaFVS4TGU+O7zu0g4wXfi9hZGYMqd4K5uq20AT+ gw5noWsMCWkszzu8SxMyntu8dqoaQ13OcgJuNpowebNha338GLr+cQt2d9aE nWafwpoMxtCPO1HaXqc0oUkyYt+FQ6OoXFv656ifJpxiH+v6t20U5X5OueZ9 VhMogrd9rOijKHTuRY/PBU3wf/vu8jrOCNI40pbgG6YJPwL3huy5OILO661e 5h+vCbHnSqqbo4eR7LfS9tBSTSi8o8KUCh9EC0f1w1rKNMG8q+WWyNFB1D2b oaH9SRNehsh7t28dRNnUm2daqzRhrIvWPM09iNYH2PIzvmuCnH+JvfqlAeSs NLz2V58mSPL1Nr051Y8eeItHGQpowXqFFxI+Br2Iyu++YcRWC1hpUdUJT36h bWawcmxaC7ot7/U6uecgYovLb61b2hB46EceY0MT/sX5Oh18WxvW7D0RuTym CVekg9jXO9qg+2Kq8G1vE07iU9/uG68NoxViXtlRzXhHPSfv1SNtyH16LDLn dwtOOXAtbPNLbTC1KrN/eLYNW4W80NzzQxvURUxtJy51YGNdNbNHP7VhV7L+ QMfXDkztjj/I+a0NJ4z9eWIVO/HstpC7cd3kc0/Ly9vfdeIMIfPF1hFtsAuV FRoguvB8UnvDoQVtmL2+ffodvQfnvFtx4bSqDlRl74Yxvz6cau44NUXTgXdZ Wj4bEvrw/ZYsvwvqOvCfWo2qy4c+fG18+4lQbR3QMtnXICvQj901I5xvrdOB 6FvEL5+UfqycyGWSY6kDy2RFuDeXDeC4C3PcPad1oEblW51x5xC+yWd5yf2c DijwkJ9BS0P48r3780MBOmBtnFgMysPYt8B4kh2sA3FPNfJPHRjGVsP+/QtX deD41KtXej+HMZ/TRKVckg7w73/lKFY5goOMx6JsPuqAY1Ls7OmzY9injMaV U6EDJ9mqPomRY/iApes57iod0Llw5lRk2hgGl6+uL2t14BZb3utL/RjmC81n SLXogGfZs8P56kx8p/Lstx9DOrCqbLSGt46Jw6yfbdMb1QHzjaXf8ruY+Fxb /9sbTB1YIy1VRp1kYodR+9QN4zogmPm82lWehRVF1p9OnteBbXFrjysdZeFs +wWJQysZkE1x83wxxsJJnYbX34oygHHmunjxXxaO8jj5V1SCATMBj8/eFGLj U4GdfWUyDLi8iXvwrBYbr31YVkhVYUCvndfakGNsrKY+Rw+mMqDOzn5v9lk2 lsnXf9ikxgCpWw833r/CxrNl6VcjNBmgHLaN+9MDNi7tj3AYNGCA+93pANMG Ni44+aFmyzoGHPydtOxmOxunzUxvSTBmwNgYvnV3mI0j+D00LDYz4O2aa2vH /7HxTh3L2ZztDHipe3RPnTaBN7++4sNjwQC3WIqRphGBGVvedzvvZIBSc7KH BRBYzEa7WsiaAVniq5y+2hK45ezKpJNOJEcouxDnCdx+MqRPyIUBn3sC99he IXCvx5jO0wMMGE46mXYiksBsl2o86MYAH9cJ4efJ5Hxuv17g6jEGyByom/+Z QeC/1k/20TwZwJb6PlGUS87TZlcHDp1kQOa8dmH0ewKLbJnSXfJlQGJWrdOV cgJLrT964cEZBjw7olmq8YXAqjqmQj/PM6DwwtzNm80EpqsX2J0PYoDJf8Xf zX6R87bKqhTpiwzguf37wYsuAm+UWtTbF8aAvD7qjUcjBAYRnyBOBANaxR7f VmET2Jz/96eY6wwoWtw4sm+CwHt4dq5kRDLg8M2ASKMZAtstFDnURjOgPjr3 RO0cgZ1nNFJP3Cb9mCQuii8S+DAnfmRFHAPsR24dIr+f8PHR5Wuz7jHAurQ/ zombg0/2nwsxS2DAtZqn9ld5OPhcZ9/n3kQGPIklMiN5OTiobZ/olQcM6Kql XfJcxsGXG8udVj1iQFCAfJfycg6+VqeX/iGNAbe/8VY+Jzm68tGYSyYDGg6d 15fm4+C7ZSLr5rPI/RZPqNiTnPT+4qX7OQzwrDeIO0lyaiGzyugZA/J3RV47 SHJWnot4Sx4DliByUYPk59k1zmdfMCDw6/M/1WT8wvQNmeKFDHjj9t3fjOT3 D7JZ+W8YMPvRIDCBzK8sXtZ4zzsGHF/y4/1E5l8Ze+0ys5j0yzdaporUVxc5 XR1ZygDm68HCDFJ/U4S7pGY5AxRfbu1xIv35danJteoTA7T+3jD5SvrXfWFr 1rFKBuz70tuTOE/gwTMvCN5qBrS/OfRW9g+BmT4qG9JryXpOxlTumCTwxPHb YVBP+tNSLqdBEHju8FJtZwMD1L8KFRWNEpjPvv0gpZXsl7sLApxuAgtb78p+ 18YAibq7zf/9JrCE5ftxx98MEH5FVWS1EHiVyf2Ie90MkNN2di6oJrC68Yp6 gz4G7Dz175TiJwLr6AfIfh8g6x383+aNJQRev9ru6coxBjyV/7kj6jmBt6z6 NJnLYsBmhagnpY8JvF3ewGQnh+STRgKZDwm8b6VYw7Vpst+cKlddjSaw04pQ +dWzpF9ZL5YuhxP4IDfb7dM8WU/LDIM1QQR2/+v67MgiA8rKLzbe9iOw93Tt 9L9/DNjU2DudfpzA/wMkyHOm "]]}, Annotation[#, "Charting`Private`Tag$150086#2"]& ]}, {}}, 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]], ImagePadding->All, ImageSize->{666.75, Automatic}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.874491430287006*^9, 3.8744914443582563`*^9}, { 3.8744914999208603`*^9, 3.8744915209998493`*^9}, {3.874491559122386*^9, 3.874491577211747*^9}, {3.874491610257955*^9, 3.8744916206304207`*^9}, { 3.874491730676486*^9, 3.8744917657731028`*^9}, {3.874491823177453*^9, 3.874491905660594*^9}, {3.8744919361476183`*^9, 3.874492010790453*^9}, 3.874492053947723*^9, 3.874492084212158*^9, 3.874492265185995*^9, 3.8744922993376627`*^9, 3.874492335709038*^9, 3.874492509388472*^9, 3.874492628389937*^9, {3.8744926822562857`*^9, 3.8744926939411583`*^9}, { 3.874493726989151*^9, 3.874493746742208*^9}, 3.874493812404025*^9, 3.874496527274973*^9, 3.874496624129854*^9, 3.8744974526098557`*^9, { 3.87449754295918*^9, 3.874497608988656*^9}, {3.874497641844172*^9, 3.874497767981215*^9}, 3.874497910928299*^9, 3.87449797222169*^9, { 3.874498555939604*^9, 3.874498635339286*^9}, 3.87449950450294*^9, 3.874575416348661*^9, 3.8745773993022137`*^9, 3.874577470146299*^9, { 3.874577556985689*^9, 3.874577565076092*^9}, 3.87457908928477*^9, 3.874584533995523*^9, 3.874643407900023*^9, {3.874643492027532*^9, 3.8746435119483356`*^9}}, CellLabel->"Out[46]=",ExpressionUUID->"5bb6c898-eef8-4c93-813c-b22a8f757d69"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"myR", " ", "=", " ", "15"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"myU", " ", "=", " ", RowBox[{"-", "15"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"myAng", " ", "=", " ", "1"}], ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"fIn", "[", RowBox[{"ee", ",", "myR", ",", "myAng", ",", "myU"}], "]"}], ",", RowBox[{"fOut", "[", RowBox[{"ee", ",", "myR", ",", "myAng", ",", "myU"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"ee", ",", "0.1", ",", "40"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]}], "Input", CellChangeTimes->{{3.874492389247303*^9, 3.874492431819092*^9}, { 3.874492520662472*^9, 3.874492531734673*^9}, {3.874492645296485*^9, 3.87449265959258*^9}, {3.8744927060622272`*^9, 3.8744927061246033`*^9}, { 3.8744927392510147`*^9, 3.8744927447751083`*^9}, {3.874496542863956*^9, 3.874496571887682*^9}, {3.874496633917107*^9, 3.874496634014574*^9}, { 3.874497460063225*^9, 3.874497495314569*^9}, {3.874497622665648*^9, 3.8744976286221027`*^9}, 3.8744977809701557`*^9, {3.874497981605178*^9, 3.8744980256808853`*^9}, {3.874498565266568*^9, 3.874498592019972*^9}, { 3.874498646569261*^9, 3.8744986555761833`*^9}, {3.874499514917096*^9, 3.87449953846764*^9}, {3.874643512325345*^9, 3.87464353590913*^9}}, CellLabel->"In[55]:=",ExpressionUUID->"30fd378a-e97c-49ff-b96a-011fbeff0dfc"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], LineBox[CompressedData[" 1:eJwVl3c8le8bx5EyQmb2iKLsY2Sd475Cw6hoUGmoVJLILhSVSGkQGsooo1L2 6IvckoyIjDiy93nMY0Rmv+f3zzmv9+u65+f6XNfruTedcTtwjo2FhSWC/Pn/ v8D2CZPU5/8hd7alpuMBcdgj69tYYlExun/Ei86UScTNqq9iXnZipCt3L3Yn yxtcI6D4p4r/K+Lw3ZHrX56CH3L+2lNyqBp5MduzRmzSMbe/+NVDE41obOvi qWtF+fiRk68s8ulGIcUWZf8GynDum7mBk7I96LNk7jfu41+x3BOKYdztHhR6 Y0ytpfEr/uueOiBl1Yt83AYuxONy/E7jiYFEZx/KGdZQiYyuwNxpzv3C/waR 0C/z+cca3/GPRHE9btMxxCFpb+0d+BPL3/fX/ZQxhsyi8rRcC35iH69O7fNS 46hm990z0xM/sczuRM2yP+PIkZM9+fHxBuw6tlXZ7+0kupQUm1pPacShki/5 /oRMoXH8MfrNlyZM4f/Ba/V5CvUqLfP1MptwO/sqz5uZKRRV7bb9qmwz1pg4 td7GYRrt8jP5neLXjFtLFTg/Gsyg//7Mn/uw9Re+mXeIg/3KDDJ5cMHi5IFf WOX9nXX2KTMoNvKDm7X/Lxz4ZJidS2gWWdl3NTO+/8JK59NYz43NIqkfWpMR Di244VgHS7H8H/RY6E/B+O0W7L+fl0Xo6B/UJtiVfyWlBdfru62WfvuDssw5 xXoYLfiaWsKK6PIfZKsSeaGCsxUryDcsu2rNIa+9H6sqlVqx73rtJan4ObSa 3NO+4Wwr3sTiuOj5aw5NT+76aB3Yimtmoxa+r59HrKK4PuFFK5btmpu/enUe nXbMjT1b14qrG5Xm69PnEc+FqqSfQ63Ys/LInOLgPLp3lxPvWG3FlZmFs802 f1Hy0ZT9W5Tp2D15dEbl7l+04pPqFWlMx5IvpGZulfxFosd4uBZs6Pjbw73T bbN/0f302CBbRzp2u31jSlNlAcWb2Nm/9aZj8asZzNDTC4h+Z3bL2B06/urS M9n1dAEx8g/5yUbTsaityUQ4+yJqjbjvYplJx18sPMf7DRdR2xglGBXT8SWU NGbovoiCzRQlJCrpWETn12hE6iLS+Swu0PaTjvHWdaOMzkV0hCXN3q+Nji9K 640g4SWkXd66vNRDx0KCTkSMxRKqyXPhPD5Mx5/XPWeMBy2h1Oeeb56N0fGF pephswJyvG88eyaTjl1196xnG1lCvXG2pb4zdOzjVqGOpZYRp//pf9Q/dHz9 ndmBgP3LyJ6P99oqycH9Zd4Gt5bR+RKYKST5vvSO53O5y4jjY5mJ+ywdR9rh 4pzhZRQj42cpN03HzyNoPVckVlBkUwZL5QQdJ9QUrVHfu4LeGlqdcxyh49S1 hkqjgSvI7axQ+PwAHaejTxZvs1dQ5dOup4FddJx/bbvrucEVxHenqWiphbxP Tm6EvNgqmuh4ZnSpjo7Lx7Xyui1Wkabd3Us/yum4VimL/vL6KuJc7czcVEjH Tac1lo9mriK9rIGbF9Lp+HfsR1nR/lV0u1r2fFwiHff+UjFtFvmH8r67z317 QseMDe/PR+z5hwr4obMzmI7nb6d8XJ/+D/H462Z2nqXj1c+bG6p6/qEtwjXm 30g/rAmwWSzjYgHKhtGol6RfuPPrpYOoLDAWfsBBQoSO+ZoeZnQdZgFfLXmZ L6TfBJh7d9DcWECd/przyHArFlOudVxMZIHqueIUu7xWrBRXlebFwQpHNrm3 vjdrxcpFobQmOVb4c5bNsntLK1an76qnGJJsf8Occ10r3i74bXrChRW66P0u Rl9bsFnIF4OLjayg1POw0YTSgve8CaqpHGWFfWXySXrcLdiyFJ1QXMsGoVMa Tdv6fuEDi5+D+vXYwFEqaX79o1/4tGth5YlXbMAfl5E23dGMHe9fO1qczwaE bIfpysdm7PRWf1TiJxu88SrXFbzRjK/05fPR2dZAasP+qjOSzfiGbc7hA05r wPrLZdVWiyYca/yhf5c2O9x/yKm6fKMBU7NfbVC0YgeftuX+PpMG3LHlkdHa c+zgdfu1E8u6BizD6/Hkaww7FP7xaCLCfuKEdj1TWGSH3gu29/0F6nHK1a+v Db6shfzj8eHXqr/jrOzfp1X3c0Cg9hU17YNf8AHF2gfrnTiA3uqbRckpxdPP P/83EsQBUVlXdPYLlmKdmwkC77I54MCdzfNLsZ9x/v7zX7Zs5ISJ/MNfInw/ 4eKxKTnZTk5Y4H19pqo1DVcqcvUIXOKGzhuPQziy41HfEbN8nhBuaPxVYtbb /hot3wsM50jkBr07nWIN3clIa/KP/koLN/he9WkNH0lDLwv6Ihgm6+GX29kL wey5yGNPsSmW4IGYq5c6RkRKkZSzW6rLd1645iFBXVSrRZ9anAv6o/hBvJvl Ms/7NiT1JTbNL5EfAnj9V9yX29DNtNp4gXR+eKr0YjBy329kEaR+F1Xyw4PJ Pctrpn+jzm3TR2IX+OGQb2LbY90OxHb92uKBkwJQl9gmVZfehawU7tLKlATB /MOTW1tyelEm73+UozqC4MnCoxLc2otE/hJbmCAIk6OHPnxa6kVdtZZ8MscE 4drIydjXpn3I3WdD97VwQajus93o09CHYqpjgihTgtCxqKS1OtCPetySvyYU CsFLTYft9JFBdMtgKXxnlRBwFW/aZ8kzhBTW2NiO/BKCBX7FzWFqQ+h8zDJD e0oIcq2XqhzdhtB48UG+SiVhsOWzPfSCOYQWudiOjkcJw4zmm6YZxjB62WQn H/laGNTLLN/wcDAQ7dXH0e2ZwtDsrX5jcjMDBWkevRFUIwz8eiVIyIGBOOwy 3wixiUC69pGrjU0MJJx0csLATQRUtvN/VMsiUP7l3IKuABFY93a0aLCGQHZ6 3Ddv3xOBuW+zhReGCPTie57Qj2QRkH2g8qRaYgRtmuIxcOgQgbg2lXVrb44g deOi2yHmG+G/aD2OU6ajaDddVLxJQRSkBrXpDfFjSP9HiIY+RRTkUvyu+eSM oa1lf3a+MhYFBR+20eGKMcT5ocnjwlFR+OT5/TJlfAxVBT6qXXooCiHNnbsc 9MaRhRJH0OZFUQhbyYrRLxtHhlI+MWEcYsDqkrMts3EcKQsMfpgQFoPi0G0O f/rGEfdSWdsnDTFIrKuaZrBNoJq6G9p7z4lBXvdbOx+YQFY+c0PeP8UgISxh Ui97AlEvnVv53SkG7/IN1kbgCaTq0CwEo2Jw18Op5FPtBOKxyAbudeLwoqrX wWtoAv2Qdn0RZyQO3qzJB+NEJ1GJYGfmGnNx6E3Y7eGqMInSOawqnWzFwTGg uYxXYxI9nNo2q+UuDpq8zqaFOyfRvm+DeytTxEFk28KP2iuTyLjwkKNqrjh4 lXmEiPlPIvWMr34RX8ShNPAdh86dScT3PDHVvkMcBjolsn8/m0T1LidYmQIS cNPsch3j8yQqPV0relhWAubf2czkVkyiTFsj9UJVCTBZeB9oUz+JHoO4ffBu CXgfdFBuuXsSWQv/yhW7LgFPopfLxP9NomfH7A49DZMAIzWLq/NsTNSd0DYj EiMBeZFtiXvXMZGrWpeWUIYEvLxSW1/Mw0Thu4YzeXsl4AIP7/1UMSZqDr9o HT4uAUu78tLcJJlIsml0kntRAioMdyQryDDR+1NMdU4hSWAM/Nq1X4GJKq8u fGDbKQnWVW2Qr8pEfNjf6qaNJNg8hS1d6kxku3Z19N8JSdg7q64yrclEAxFs Kis+kiC87mNplw4TqdKDv/vfloRLRNuZgu1M5CnD4bz4SBLY4qosA/SZiC1t /bv5t5JwNu2BaI0RE1lMPdjjkycJAd5WvIdpTBShx8+Y/SIJCu2v3GqMmYh+ PTLUs04SHuvx7lEHJpIrF1aa/i0JTwQ0Eq7vYCIn7qcVV4YlgZ0/8eZ/JkyU YS1+fnJGErZOcM31mjKRcad08hiPFDCP3C35u5OJQhQSzC6JS0HncTHF4V1M 9OOi/ACxRQr+ikXtLtvNRMKZSbedtKSAnaNe9d4eJjo+p6gwbEzO90juNjZn oiTqu7JzllJgcmX5Yg/Jo7dUzgzYScH9+i+/XC2YSKv6I+tZRylgFR5THSHZ b4NmYu8VKVC86HftgCUTlR3OBofrUhD/zOtbKslcL3V6usKkgJdlVGKEZOu+ /MATMVKwFDJ3W9yKiZ5tNZDteC0FC1GfuLeT3ONaVHIsQwowh/1/iGSlPNrJ tiIpsN3G/+L/cdclvGJXJQUXUwQLJEjO32HyqqVZCjKCkyXGyPVXQ8uph3ul wEhcuP49yTvrdnU0jUuB/L+sLluSw4Wr/Q8sSgHB236QSZ6/+ZilZMM6aTCy ntH3JVkq8UfhfiFpiF48/2yUvP/Z4f3H6mSlYeb0+4C9JL9Xa1ywUpWG9GkD 5ktSv2nPQ89r9KVhv9KLlTZSX8PCFn2LndLgEmiXwU7yTZaj9CobaUjyWccv Teajale77+6T0nDP31RZgcwX/4MTohXO0pAzlM0pasZEdk3d+Wa+0vB7iiX/ L5nvOPEztl9vS0N9ei+1ivSDWsr56NKX0mAedoCNgpgou4aXe+97aWh8MrIj jfTX9qncG20F0nBXo/0EP5X0B3WN03SjNLx5QzkTS/qz7PT7jhs90uAQfeH8 F9K/u0NtbNZPSMOcZsyNRtLf1o3xhpu5ZMiqZcrnk/5vnt+VkblRBu7qoZq7 ZH0clZ5QoG2WgVL0A+8i6+eME5XXFsnAn4UTFcFKTOS1Su8O9ZaB6A9hdG5p JvqrEHRI+LYMmJd+cTeQYKLr5krVCY9lQP7Uh+qDoqRfo7yz/0uTgdRtjyYt BZjoqbLgndFeGRh7fDbNkp3Mh/V/C76TMjD0/mtDGwsTJXg7uLKvyMDX7Gt2 bxcn0dvSdDtpMVnILDW7JDk2iQptLZX375MFoiL3lsoPsr8FTMe128uC84Oy PXzfJtHXxOdCThdlwbH+luP34klUOza8HBQsC9lceSL1aZOo81ZwfXahLAi2 L6fz3p1EQa0nDe8LyUFj+EFfP4NJZOKc7WUjIQebG6e7WMj+yr6yNkN0kxxs 4IkIObN5EoXJf1RIUpeDK+lpgp/4JlHk5SWez+ZyYFexPjyjdwIlrXnWPREo B2zes0mjQRNIEHl37QiRA+bJK9v4vCdQkN+BzqhwOZjTP3xS8OIEOj7F0274 XA6sTgiZlFpPIKHumy0h2XKgOd/xM1dmAt0qvPRDZlAOfsXWKYvljSMHd1S0 z2IT3GNdN3irdgzVfZAqTLTeBKOarPN8n8cQlbHwadZ2E6ALDYJBH8eQ2Knc /BdnN4HqwNNfAg/HUL3VtuyhgE2wRnRb2NzeMWS8VejdjYxNsOXMp7qOqlEk 1T0Uky4sD9t0HsR2p40gSqZ1ca+EPFwPuRuZ8HwE7bpZ2Cu8SZ78vh75axE6 gq4oPFT1V5OHmFvxN46fGUHfLuiW7d4lD++vCh/zFh1Brszb4z2+8rC2wKM8 +jqBSlk3mQm1y0PZk+G5vYYMdG6z/ZRvogJYbut9EO4/iMTO2bFqvVUA7wcP C0PPDKLa5IMCY+kKUNgQZXfFfBDpKFlRHIoVYILa58otOojYlGnue1oVoLVM jnEuawDFa8hOifFuhpRGiRx6Xz9qM+xn/nd1M5Qoa7O/MehDe20uMZf2b4F5 C56KroBOJPtuUCCrVxHO4yvjeiH1KIKx1CoXvRWEWb4kz1oHo+YIvR0vQBmk W+mlQyI1mOV8Z61ZvQq4PV9U1vJsw5MucafXtahAnNx8quabNtzleWquskMF zmh8TeFpasOfb/bKWo6owGLr7cjjWr+x36tBD5u1qsDTOMx1ZPI3nmkeFztp pArM42D56kwHHjJddfRNVYXYWw37Lqp1418WeEE/XRWub96n3XikG5fbBD1c zFUFXYEqfeHgbvzmFNun62WqsNNtUVHhdzd28F+3PrhTFY5ftH+oY9KD27L5 sh4LqYFnTuL2z4weXLtJduVdoBq0W/Ebeij24QsNF23/3lEDNslbFw/r92G2 m7kZu8LVIPFWtYiiRR/W7zE/0/9MDQRUkgofXe7Db+K8KqWy1cBvj6jg7Zw+ 7Cf5PeLRgBpcnQsQ6zXqx0oi3ore5urwPF3SXM94AJeV48Cv+9Uh/1roUv7e AXzci7tNwFYd3j/mWpY/MYAjm+Lvp59Rhw1bTSuw/wBejfjOHPZXB/mNai/X fxrAzXxyRcfS1SGL76froOogvsVZsx+ENKD61W9PV44hXKT09omIhAaYqrWy 3RAZwrO77rSOyGmAPE/2WW+FIXzhDjoVra4BUjFRAZJoCFux5bqOmGuA/qyf kZn3EBZdfvkgKkgDvCuzy1g7h7C1pF/DxVANyPklKnifGML3DO1E0EMNeMTf W770ZwgvXxV4RcSS82vOUJ/wDeO+P3c+GBdogOR0a91z42H8YdK1hjGuAXEC HzJYXgzjQT6rDSWzGqDZO/94JWkYy6hvO/hkSQOsG+sCezOG8Z589/E4dk2w HljxPPltGBfNqnibC2pCtsgPqurkME5wTwiOU9OEOGZno5AxA9NYHylyUTRh d6lSfOBuBv79+HqVp44mVFIvGzVaM7BQ5jEecyNN6Kmob1U5y8AhE8JRM3s0 gap/0TozhIEvXQp7s8dRE3Y9ChRcrmLgjp0lR95c0ARFXnabjJ8MbCU3w7vq rAmRP/sULOgMrPrr+NUcd01I06sL2j7MwBPGmntlAjWh88PsNLGGwCfFz7Fd u6UJjzgsM9q4CVw387yg6Y4mnOhymcsUIHDG2zXyYeGaUB85uGmjLIGvCLbO zTzXhOuHZDoK9QncM7b+w75XmlC++qFjyJjA1pVw+l2CJlQItJ1dNCMwJeB9 zclUUp+PoWvp1gSeHryeUJ2rCc3HDz+9fIHAXv9ttoiv14S5XS9N2B4TeODJ 0X8LjZpQyhZcnRJF4EOuD3MPtWjCns0Pu7SeE1hX4a8Md6cmLDC/FbC+JvBc eM2M14gmcES6WvllE/j8BZZ39eOacIn39kX7fAK37tA9qTylCSevWchtLiTw p7m4qu55TTi3Bc64fCHwNQePVxZrKaDNfcKNXkfgEcPUA8mcFKj7uyFiroHA x0Q6OFh4KBAsKX9iuZnAht93euQJUoBmaLha8pvA75P8lPg3UuDZ3RN0/04C SwZmdDiLU4D1pcQFuR4CL2uL75aTo8Dzb1c/yg0S2IVv37KfAgXU17U6BwwT uINxK+uXIgWSrMwZmCDw51djkvfVKNAcU6KxOk5g9aubGgY1KaB6XJplYZLA cQdsQ0CHAttjdr9qnyLwDY5S5h9DCmTfemh55A+BzfINOEWNKVDxVjSxdY7A 3OdyZPV3UIAtr256x18C/xRS0ztqRoFkh3TTpwsEjilL2ee3mwJxCqUxrYsE Pu4udz7WggJ71aQm2ZYJLC/34nrxXgr0Hif2i68QmFEnFN1pTYElgxPFEquk P64/+LB6kAIC40V6HP8I7KPKUS5rRwFx/SPfukimtge1wzEKZLo+cUpkGcFs 9xanT5+gQL1r5+b9rCO4St+L+7YDBRae5a4Mk/xweHxT0lkK5FUlz11iG8GH Yi4YfDtPgQ4rK6F2kiV29loPXaRAT7eNne6aEdwzc8yJ4zIFVBJcK/xITnnd HLj1CgUMOS86ppHsYrPvqbknBcSGRXQrSdZiqUp39qHA0SNHqHUk/03fUXH/ GgXsijfdKCW55ERR54cAClzLdF99RXIwj+6fH4Gk/hy2X86TbFGUzjN5iwJy pSPfJUgWcN66mT+EAiYsx2QLyfPRxV4bUcIoQHB1lJmRHFcpefBAOAV+6BT8 V0jez9En2tnzEQVYhhCnFMnKWzbcioqkwLq79GwnUh9m093nedEUKLw19TmB 1C//FltWyzMK6GhzqZeTegdQAqrmYynQ35/G0UTmw6TnT7dYPAWkyz33/yDz xfnIbd7gNQXO93By5yyR9Uwj+OyTKTApvokaTOb3WGwH7VUaBTIc5sWJeQLL WdgeLkmnwCe+8/UBpF+G/ta7dGeR/lr/34blWQJ72n6N3fSJAi9q1uz8TPrN cC0tx6SIAiUPxM3+kX5kyc3/fraEArr39vepThA4XOD9QnI5BeTtx/ktRwic VPvYTrmBAg6isTVPegns7M/tZtlMAd/Tq3ba3QTWVA4OcWmlwKWom+klHQQu DvXNS+8k62XruZ/PWgncbHJSSHuEnD82HWpfS+AXU63Kh8YpsEbHYu2xagI7 JNiYeDMp8KFQ0N+sgsBjK2buBXMU4MgVc+rEBF77n0q90RotSFHLm5El+8OL +An7hHVaUDFcWaSRTu4fksVg59YCw4+7tbe+J/U5qMdWx68FizccbZoSCZw5 bqLrIKMFYpe/aAuR/Wln89qy8k1acEHLzeHifQL/Lqzat22LFqgfXQp8G0Lu d3ef07SKFqi0ZxT2BpDryR+LDTbQgqbPVqI7nAjM5JTeSlC1wJ5bv6n7DIHv THbn7gUtYBn/XH3hBLlf8bm6jbu1gHOg4L72AXI9O3fWd4e0oN6i07nIkIzf v3vhh5sW2EZ94ojmIPAuD8tZiqcWFBZyETUsBG4/wnczxoc8z2RPwtgCA69T jHpx6roWxG2z+Tw6ysD2pfE/pu5pwRqBhdreOjL+J197Y4oW0NXCnuU/ZuDj Jwf/nezQgvmA0DBrdgbeLT4+EdatBVvl3FqvLg1jrebZztw+Lchz8V3/aHoY c1mwF3MT5PrXru+90zOM83UVrub/0QJll/+sXxQN4w28p5m8G7RhPECK4uY6 jMuKOnqKd2iDg+pme97KIfzRZ6B+2EwbMg812K8rHsLPKGMlgnu0QSW6IHIi cwi7pS69dNqnDe8CvtSHvxjCUk8kjgrba4N51M9S1stD2Nv5SMMlL21osVl1 aeUbwlvFm79IpJLrf5HXvL1rEA/LyJfrvteGdkWO0UKDQZyy+UqF9UdtEBlj G+knv0cUNHlqQnK0odTcuo9LaBDL7DZrnsbaZP/fw5LaNYBFvHOHvtO14f4V 922angOYrSFqvT+3DlDTQ441RPTjzruHD7df1oGh5qz0ldRe7FIxVmvgrgPz Z3dQQmN68eKaYLNnXjqQVLdnhe1OL94YmK192F8HkueP5Tac7sX7vDcI1t/V AVeqiccPiV5ccrq6ruyNDvguT3Rb3evB8Ya0Pe/bdODle5usctyFT49tNrq2 UxdGmzbzOTS24WPntmVn8G0H75FB2uvKeqzQ6O//lbEddLe+vue9nIWbZxw2 dpTowYU9S43y0kVoUdnf5EGIPuj2sgtmMX4i5uH+UslTBnDl546Su2ztaPr7 phNmZwzApMdtfGZLO5pFDgsu5wyg0rhD28q8Hc1v66SUXDKAu3XFOV8ftaPV lZbXDlcNgEq+wWslO9D6lO/ByREGcKktpYyi2YkU57L2aJQbQI1AnNNX825k HxP002SbIUhSSqQmX/UiTdu1QfaqhmDl1nE140MvWrfxnoaXhiEc7ZsJdCzq RZnRTx4m6xpC4g262wc6GY9OseI0MYQAVrySLdiHMp/UVv04ZggnA8IVo4L7 EHuE2Jcj4YawmCSy4HGKfD9Yv7ri/sgQ9K2uqhe69KN0fnm5e5GG0JDwYPOf a/3o6GOVwKJnhmB+LU1vVxQZf2RMk0k2hI9RN2mHqsj4Q8f/+j8bQuiACauE +gBKv5+Z5TppCIU/Y8dkmQPowO0bLd+nDWHmGdfUz+UBNO9ntaQ4ZwiryhYv PbgGETgzzLqXDaFfa646VH4QNe6Ro+/nNoIX3K4Ffw8Oovm1j1c1txiBXc/W jxM55PggN8uZY0bwWO8f2/KFITTgS7uy/6QROHbRHuV6DKEwt/XRaaeNwNXd ZeL49SHUeDK166yTEXjoG/BdjxxCjrRu92ZvI4jheqC1WDSE7i7ue5b32Ajm t+mo9a8fRg1e6oO+FUbQJ5dqZxk/jGphh8uLaiMISkjvPpU6jCp4Ds0U15Lj tyiXn8sYRoVJ11jZmozAMv1o1E48jJKay6XDu42Ak4hjHuoaRr469rYJf43g q1ZheoY4A3mwuHaWLRnBYaP3TnQ5BnKpDXIcXDWC41/iLKaVGMjBMcVDeS0V iPsFfgu6DGQRNfUwV4AKHp+jDA/bMJD0bGhllTIV/n1Uq0N3GEis9MW+UTUq KEdvL7h2n4EEwz/+4qVQYUZj5GVSBAOt29zUf0CPCpf9Px368YqBmAdlWDpN qbDq+FnHOY+Bvubk6k8dp8KeOd/v9b0MVBJYiYUcqJD7cOGK2DADfbL8vWv7 WSowOdqnbMYY6EP/v0P+F6mwb+a8/9M5BooRsnRf60OFnOvUABduAl307H0n /ogKeo8olVQNAmn50lICI6nwec+d9gltAi37PX89GE2FIk7JtY/0CfT4lk1s 1ksqZO2OiXi+g0D5EV/Czd9TQYhpcq71AIGCoqXDMj5SYd678u+CLYHMn1+7 I5JFhW0afdHc9gTqSKDc6C2ggtKFieE/Zwi0JjPR7do3KgTsia+ZdSdQbc7K pe4qKkQ8Kb4f6k2gmIKjTjtrqWD7odWK8xqBlLHAaYEmKuyef1PXFEgg67qb B971UOGu7r2iyHACSTR27tswQIW3Hrqu0Y8I1P/LwNJ7mAqNpw5LhUQSyKdz ynTHBBXOWmy8SHlGoFdjp3XblqgQnG9QmPGaQOeZnynoHxUU7zXS5JMJpDkr rp7MRgP3hNOFt1IJVL7UoOjORYMPV7nieD8Q6OE/NYVWHhpIdwit1U8nkN2a e7I0fhp043lH60wCjXCbiHGJ0kCyP2eDZS6BcvnihN0kaBC1ueuYWj6Brgsu 8v+SpsHngTvxKwUE4pfI5krcTAPaGp+NTkUE+i3Nt45jKw2Wna+Ys30mUNIm Z7bLKjQIPmnle6+EQHrb5Jf0tWgQFPv4m+MXArGo3ZiP06WB63Pu4fwyAn3X /D3DbkCDrSFha+e/EihKZzvTmUqDB1y5m7Z8I9BJ/cixn4gGCVlU6o4KAm2l TjC2m9JgP7P3sGUlgaaQxeDLXTRgF3V1M60iUKFpSi+bBQ3SDxWEbasmUPBu ti6nvTRYzYpPXiF5n+XJ33XWNDDmEynH3wkkur+wRecQDY5JCQy51RCo58DG phd2NHh26jkPXy2B3tt61LPY06BVCeu/INnrWF3N+ZM02P0o/pLwDwIZn1Su qj1NgyXvsykBJHOeCSnXOkcDk0A00khyw7m+0mdONDDj89IXrSMQk3Zb9tsl Gqgul3zfRTL/xs03plxpkOXrnH+eZI2J8g5pDxrorX+67EPyvopzRhbeNGja 4hrnS7Jr3LoXPldpQBeTf+VE8gOf1L+v/WkgKDKxYE7yh3177Opv0ODd1o35 kiTXKhJ5SzdpIEUdbuwkzzO2Gia89Q4NqPwFNo9JXt+q7HnoLg1WDAe0tUlW zqhpCLpP+mNLi18FeV+LUBfNjw9poMu9omRBsvMp3kdtETQ4PNlALSH1CtNL H18bTYOM1JZCeZLfbthvpfWMBgfqot/4kvpWDU++PxlLg5mvr/8Wk/oz8GOu +3E0+PjhedE0mS+OZxSngkQa/HWRnRAjedcezy38b2mQ/Snm7XYy3+flhIOp aTQ4W7CirU764c7f3D6ndBqUuXbpbiwn/f52Lv5LLunfLLukAtJfA0FPV8cL aKC5K03YvZSs36P6JySKSD1eT7BJYgKZcPlJeH6hwS4+idNQTKDSiytRm+to cCql+HhDHpn/HXEz1g00OFPG/YePrId/4ujA9WbyvP5NkrRsMt/fgza0/KbB /JnP0pfIeipWZr8XOkwDnKCmzZdC9g+2ZEbOCA0EDPcH/nxDoKXfO3f3jNOA 1fGFy+1EAhneD2U3mKWBo3WKTtFLAhWMcgeOsBhD8m+jMg+y/lu+pnVuZDeG +UGRU4Vkf5iLtaKachjDu/ChrGmyf+hYPVyI5TWG3xXuwbqhBMr+IOC1V8IY lraoq7L7Eyj9stjFTG1jqBfxEK86RaDEx/9+1243hl2PLdg0jpP1lTNkRRiQ 82WWz4ceIZDfQq6mPBhDNAvK5LEh9b9j8/eJlTEo5Ou/uEj2z+6X90J9zxnD oXn1JDdZAjVi94UnTsbQ8JKtdlKCQBV9Ry5lXjKGh8cck05vJP23VWk/4W4M CS/YvCV4CXQ19+tG+xvG0H3p6WLPAgPx1y4nGz8l9++63FL+k4HWTPaL2r8w hnY2Bj5dw0BzAjVhvq+MgevKSjTzGwN12D2/nPnGGNouLogOFDLQu35dXflM YziWVTIgn8RAJkuu5WurSY6fNlvjxUCeyr19tYvG8N177N1lLgbafkfgu+oq eR6tsbA8Vgb6270jK5wVgZPiUtD4wjAKiH4daMWJYI2L9A+1kWEUwuIoVSuC wLP68ANm9TB61jJ0uEYTQbvmK4vgkGFUcmusqvo8gt2GL68KzQ6hoE6pzG3O CEKjI8edR4aQif7ep2GXEfCLetjk9AyhyvGP58y9EHxNpKwR/TGEfh5xY6u+ iSC6261TOXkI9atPG1W9RODquG/13gHykdo+n17RiED/aJjq2deDSI778t+x XwjUMllq0p4OIn2Dvh1CbQhMzv6WZ4QPIqentc2nuhFc9K0Up/oOouqDiYt/ RxFwrrfut7EcRDvPb3kTzQbAtDOYMJwaQOu66yYqJQEg1+2Qjs4ACvu5KUR1 H8Bxi3tvTz/rQ8trbp7r3Q8gItvlkh7Wh67o9ZjF2JC8RW5uwq8PHYmLW8Ny GGD6wKMgyxN9SNFF8maTPZD14RDjuakPlXOIBPhdBDjt5DVwN7UXsSBOj6pg gLsaGjTBtB7k83HihGMRwO4beRTOzZ2odSA4Lk5xB2h5NyUeFm5GMyl5Ssn3 dsCQ/bfdYT+/ofkzvMck5nfAmXIxvoMGN1Heu3/N9sdNQMaSJ4l5oQwzLIo+ xWMT2K0dWSgX1IjZhl7tPKBiClXLw45mi+24db2kZMMjU2gNthP/b6kXr1o9 aYmIMAXtrKHpyzx9WPHh+sgDT0xB6r94CTHpPuzFv8zZHGMKG2Pm1KyM+7Cg SOdcyytTMHROtdMK6sP7ZOIbO9JM4d6lJecJ1n5crqlwj1FpCoEhycUDy/14 zD1257tqU/D0nd9O4RnAQjlCrM41plCbt77NXXIAn9FlvzpaZwq6m3Lc6w0G MIvh4LmJX6aQ1A5rlrwHsJFp6o7ZflMQ2vdQm2eMHB8su5I7aAoHP3EpPV0c wPe+Pf3kPWwK6dVfC0W4BjF9912N+RFTUH+m+np8yyD2sboovThlCm9mtzzg ODWI4x700gtnTEFgKjtO/fIg/lZ3NMr/jylcVi3fYO4/iIVtLNav/DWF4dEs pt3TQUyNLKv4vGgK2w6WWVslD+KzTYa3biybQnBFCVM7ZxDfE86hoVVTUBn4 VcX3ZRBnH1ZZ+PfPFByjjRs66gbx/wDhQlfb "]]}, Annotation[#, "Charting`Private`Tag$191702#1"]& ], TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], LineBox[CompressedData[" 1:eJwVmHk4VV8Xx81kzDyEZA4J15x79+JKKlFIpZIKSWUKRSnih8rULGRoQKVS SUK2KMmcJInM4x3OFUkq3vP+dZ/Ps/bZe01nnf29qw4EufrycHFx6fBycf3/ V9KcbVd48xUiFn7qx4t/RqFP3zHzK6uQ5E/RIAO3L6jT4Nb17D6MUr527rFM /IqaJLV/NiyvQ25PlEKNq/vQ6TbJTfX5b9GtzJMrI9/0I4OUfzl1JvVoTcKO 2qM9AyhV6LNjtfsHdFyo7PTmsiGE6mtuVY42ohaq+d6CjGHEiSv+UR7RjDp7 2zf7HR9B25bisp9ntCHP3La2o1JjSPiU4kl3dgdSeWw5+WN+Ag3tSlP/VPYJ WTzfGfE5bxJVWPK3bDvbicTSB1w/2E6hI3OcVS7Lu5C66CEjqyAGsv/s19zS 3YVMPylL9P9hIOXS3gin/C8o1nf378lYJmoOaWjaaPIVrZQ1vxcbxUJ3t9Ii Gha+osNb1idasFgoem2p2oa6HqSuHlZ2dxcbeYjrNb27+A2tCM680IfZyJCV G27v3otMPfLWz60kkECzrFqdch86aflZmjeKQN8fXGy0He1DZlsdRBVaCZTm f2IliuhH9WmjFttNOKj0ztyI18oBxE/72l7oxkFqV4ytc+IG0F9PaQftUA5K Pnc0rW98AFmuDA/uSeGg+ZDCEWWnQdSdZrOytYCDfPYPWe0pGUTRd9coiLzm oPatKmlZMkOIV6hSPqudg2xg50jPySH045jhx8RBDrq/9oqVUt8QMotoZ/cQ HCS3sjV1l+0wElZYLpXzh4POiS8bybg3jM6k3P/UwzeN2P/oVt3LRpBteXNd psg08mSdSZUPHEH+83YB4xLTqL731bBHxwjKPnbVoVFyGpk0z1peNx9FjEyD dieScyrXpn7OHEXuvmciTopPI+GHAcMyS6No1Ecn32PZNIrIvGfpfnAMDZ6V KuFwT6Oh8wMpV96PoUfvb/5xmecg58gVwx364ygstbAzmslBlf4ellLp4+hr cVd83HcO0t15KWXb7DhyY19yDmjloKsbmofSd04g7iyTY+uqOIjLQtCyvWoC 3ZBVleUq4qCj2nYpEqsm0eG4oeNvLnFQt2z0kPN/k0g63LUkKZKD7PnLLVIn J1HMf7lTXvs4SHlkzZDosyl0vkH41R4tDkr65G/hJMdA3A83HLvOz0GztXeS L0YxkEV9BhZoIFBLvqKFMJ2Jxhza58wsCKR+8ZRZ+RMm2pbyHvMMs1FEWB/F T5mFBHIlLk5dYCPVDflGtT9ZiDES9N23jYUCmbp6UUUEmjR/PH1uDRMNBqyX uSrMQWLfq8tzqxjo4r4IaQZwUHan+LaLjgzU79gtefMRB90IlH6us2MKJa7I Fv+ZMI2Uuq9x92+bQMbLW8ScXk+jpeSAuN4P4+gb36LonZlpdJfX49VONI7W sveJbPP+gTo70nk0NcbQlxoNoUdWMyiE0Xlvf/sw0vF7yO3LnEXpzF4di6I+ 9NGzl6tK/Se6OTkkKLunF51yEeOS3vUTbYWvQ9fEvqE2y6DFmnc/UVIcn5Nm QDc6IUL5o5w7h+js2iPDYp/Q+5KK2c5t82ih0CP60PoadOjPh3H7l3+Qt/l8 7wlGIw40cxThmfqDrnzwjffe1YIjguoNsfJfRJU+4L23rg3HD9eGW537i/am nb/us74D5zVV8hpu+YfEfCKzeae7cE/Wo5Xyw4uIR6m05O3bfjz4WZ/eKbuE Tv2yVMj3H8ATEg/8LjkuoTMyj/8zYg3gX3EFj0QeLyE/W4tbK6YHsXBZm0qM DReYfLT8pT08jHVyGh6GCXIDLSU4dsF/HOtVJlI/qXHDK74RN9f2cWzY7dBm bM0NYa0XNc+aTWBzqXc/2Ee5wU4/4aTt7wlsn/DG6nAHNxge22HzzXcKO96J aXrP4Aav9o8XNldO4c01aK82Pw8MraIxA8QZ2HXhdcywBQ9cJCzaih4x8P7A ivd7b/HArGjG4+Y2Jva5GLmrqowHHPoue++TYmH/IkuGUjsPlO/hSr3oysLB Q2Xi3Ty8MH/jrvuDJhYOWwrPM1fmhYxPMkmZfGx8QtnM5JoZL7wIOBWwch0b n/F4vt3VnxdMb6uvGM1j43PHQ8dLYnlB4YtJiFY7G/+XbhwpkcUL/1bnx//+ y8ZJjzjCgaW80DHa93i/DoGTG59kN7fwQnfFTJyXC4HTxwMN9cd5oY237SMn jMBX+QxrznPxgc366FzFDAJn0YqHHSh8cFL2BEH5QmCbZ7cktJ34oOk1l9zt HwTu1Upbx+/LB198Nu8Z4ufg6Jsxh0ai+UAvKnfcWZKDVcVCr9Rd54NUpuib Gys4uDrmIL79hA8K5NfLVGty8L5Zd0ZsAx8sxutr1hlwMJe/g/z+QT6gP/HZ VETh4LxvFnRY4AOFi0NzgVYcbOuyOmilND9o/wp8okDj4KFapaxFfX7Ybm4q UWjLwefMRd/32fND1XV6/Qp7DtZ48O9H1V5+cPdXunlyPQe/VSFUsyP44YCf ljcm2efSwKZTafzQWGYn+INcz8/fEeFZxA9H8+1SpOgcXHCy7rbVG374p3GI VwM4eAOztFWhhx/04oaStWw4eGJfwcKvH/zA/OvupWzBwUmfbmh/EREA79cb Xy8z5uDVG867lmkKgIPl8yViNQc3VkSduUYVADOhQxc/ruLgAMOjD8I8BIAn /ObnEgUOFrm9t8stSAD+1uw8kC7OwcWyLjyUJAFI2Sv0NpSXg53Og6FUvgBk by43e8EmMOuvsef0KwGQiy7UvdZJYMMRmWdPGAIgoq38ISuTwG07BL6n8gmC X8TmopYoAgc3/VoWqCII/uuXGWrvIvDTZz37DVwE4cDaF3EHlhPYVbs5RcRf EEzv8xq7TrLxj5uvX03FCILA1nxqTA0bm8bmSd5/JggxxslzTw6zcZmL3xst OSHwCA3vFi1i4R11O1h8a4XgSBOHc+s4C8+bb1Qc2SAEezduHM6lsrCVqkHI 7UghyNm7NXx5CxNXMafVVvYJQen957/29DDwXu9hp8WfQnDCnWmzJpOBFz91 nuwTXwbvzGx23NnJwKjyZXsWLIO7Ir/Hsz5O4drz0TEKd5eBj+K+8ajSSfxe e9mA5BFheGdTYdtBH8dDO+3LRBOE4egV2yWFqTH898LZZMF8YYh/4S6+IW0M mxA/Lf91CQO/t2tKVNcozn45dGnCTgSmvQZvau8awaGOVXSsJArW0Xa775oP YuWAoMKjjWKQHa26rk/8MzbPfhB9aFQMaH3inEhKJ97WOup2gEscpmbFtGt2 fMIJJnu4dpqLgyZyto/K/YinFxx30W+Lw8n2CLOJXc24/qK6iFKUBITla49m 6LzG5V0BL4evLofZfV6mJi/LkfKbrIdR+STXh/dfe1eJYh8250o+Xg7FZ7RP TLZXo00xhkno/XJQdYqR4AmqRX2rf+zM+r0cLgh+EG451IB4oiMXXL0kYY7p s+/y0kfkd+gBezJAEgyUx92CSztQ07ZvQzEnJIG++qS/tf8ndFWb2vQ4XRJs g1sunmvuRDrtXNnCdZKgKhIC4YlfkJNGErVWRwqCNcp3v6vrRSVir4x3mUqB y1S43QPfPiQ7P6nFASm4QCmzshf4jr43bxZX9ZSC3vm6S8n0fhQSIdEfmSwF Fz+7TEp/GUDXP1yPMZ6Wgtn7zvHv1YbRwvP3YQ3/pKDyvsBgp98w2pcz779P WBqCh5lJ+sXDSPe457YUDWkQNpG5/dR0BFUqq6pPbpcGxhUlWTHqKBoIuleX VyENzHNzxqf0xtE5qz/J6xukYW/TzOoHh8eRBu82j6nP0mD/yU1ivnAc+V3/ O0GZloZa91AxYtUEYlW5ib/XkQG+j+NPQWQSpSbc/3LETAbspE2e7KVPIqOt S3nL6TJA/+/a1htRkyhs+AHF00sGvOfrf+0bm0QLy3h2sa7KgEsLvc3++RTK /rRD/fJtGTgtRy22H5lC1FuPGOYlMrC6IWvQW4aBYox2nYlpkgHX7jPl7BAG EtxRckeaRxZKEvbb+agzUZGawLFyCVmoVsS9m5yYaNPUbvO9KrJwdfUv5BLO RKnRgh8KLGVh09GltGdvmUjmrhfbKkgWIkU2jDB3slDZsdKX30/Lkt+fJN2m Uyy0w0I4Nu6CLGzAm3Uab7FQZuML6ZZ7shC+poFi0M9CNldF+kKey8LZmh5q +iILfd+7v0DujSzMvSEW5FTYaNW0qJV3ryzUVLtWpe5go9qKAzz8U7LgoRQw HHOcjXziy5vu/5KFnZkTPBmpbFQk7+M1IyUHBx3W3raoJe/ftMq4hI1ywLB8 etmZvH+3C0pu0d8hB+NcWqlRpgQK+egn1+4jB9U/q3rbHQlU6iN1XzFGDnL3 Dx9ZCiSQh6F/aHWKHDwqHDP+GkOgX79erzuYJQf7+tu3D1wikPXFw63FZXLw wE5iMvIpgXrd8Y1tb+Wg8cCT32I1BIpWld0/91EOfhbff9DRQiDViQC9rH45 +HaorrOhh0A1T2tmEEsOjMMH3abHCHTglNzrkQU5MO+fE9jyg0B8648mnBeS hx0FM229fwlUIF7rYignD6ljXz9s5eWgDd3yip805MF+2y/lVkEOsmxJWGtp LA/+BmbZnSLk/bf25/pbNNIeNXs1SoKDFF767OFxkoeTlx6frJHiIKHiT6GH dskDtVGqokCW1A95dueb/eThve9S8xoFDpq49jTXOEwe/NKitD2UyPvwBbWy 67HycDPioY2aMgc1nE1r/pMqD6vPfUpIVuGg8rDFIe9sebibtSE6S5WDig4f +/3uvjwIXzl8c8tKDsrw6pXQfykP2zLzt98h+bzbZu30t/Kwp3vHmlskRzlW 2Pz8KA960uzsdSQHUFe7efbLw4fgV6vOkvt5mmQcxkx5mHT+a+VPnrdJRzBG c0EeUowGfH6t4CBr5Yjr5wUVoPRNkPoa0l89ydFitowCXOWkzywj41EScK9z U1cABeWlXalkvMJ/ar+Wr1WAqB3ruyvIfCwQxhwVqgIcqC2fTiPzNTWSJxC3 SQFyf4bqiYtyUM9XCZWJHQrwPc5J0FyIg5paz1C2+CqAW+oXMSE+DqqqY218 FqoABV9Lk5YtEai4fI+3fIwC1HVcPbjrJ4GSb1unDGYqAI+UVj7XAIFO37h/ x6FIAXabaWh7dhLoaLJCxcMX5Hl2cXvFSb3gFDE3Ft6uAKNeOmYXHxHI5ojv v54+BdDYKcvtkUsgA+9OchgpQLNqQdfZdAKJbnoGwgKK8HIglvtnMIH+0lbt CJJWhIMldy7YeROISUk/1qmmCHsk+f6bcSb1iEpgZs46cv1nVRSvR6Bqqb4S 3o2KMH+92spPnkCPBZ3e+3sowrXXHitKeAmUOr161iREEf7SSyVjetjI+d3o lvcFinD53nFfo1g2olW4+xiUKsLApmcGIYfJ9+9JXdSlN4qwK9d7Qn0bG4nf zC/c3asI+3Bua58qG7Ud3cvNkVSCj/rsgI/PWWirzOdShWgl2PJ1xcun5HzJ 8NzhfuO8Eux19H1cXsBE/XlfZ2SvK0GJcpyOWxITBa75biL9RAkcyusOOGxi omSH8RKxQSWY0I/eCR8Y6P3J38U861eA774Y2e2lU4jWp3KPKaoMWtkiN66s n0AJGnn2RxSVQV3nUErvignUclh9ZFJLGaZeJvzqmh5He+a0NcZpynBK3qlr OHscRUkY5Q8GK4P7oFnYCWIMldna3erqVIbfVx5kuCaOojUFftdqslUgVqhD QTNpCD1rEhPe8kAFDMzSZXVch5D5dOmZry9V4NCNsTBixRCi2fD6/+hQgUhh x9edjwfR1o5ca81lqiCzXeeHRMcAClvs7k8MVwVbwbEvx1W/owqPzXouzivh jMr7ZN8vXaROy+hnn1UDUbpM8wVNjKRQ+HfbBDWYrXr+6/2+1ygmyrXvarIa +O+45a2aVYn2TIt+s76pBsnOjBQDqXIk3R/blfBMDTpavlr68DxF5yqOtKiO qgHXXvNT+Ewi8g5Blc6bVsFIuafRfF85Vu4fu/5YRh20GMKX3iZ8wsYlW6sG ldShWD46YnDqE3aIrRiUWaUOnurtf545d+JgjVSDU2vUwfVtw4Vg2c/43SGz 2g0O6vAzef9NWm4XDuTEsQZOqENRkv3v0DtfcQ33Knvpb+qAIs4cnPfvx587 Lhx2GCSfvzj2WLe2H0/dmU2NHFcHNSn+X1FiA1jGoeFr/4w6qBgJeD/zHcCH LwQFFYtqAJXja/BGehBLSVdnrqdpQPHoqtEVfkPYV3P39Il8DXAO/TTTPTiC FXx3cJsUkTdtvfTYceFR3HzPTZL5WAMyYzsynlJGsamOk7F3lQbEn3ZzOBE/ inn0qCGOXzRA6Iq60Bv1MZy7duW0gpgmdAwd7ZFxHceuwSu4P0lrQvVR9/tV EeNY4Km8ZIqSJpybFOFRzhrHgSbLjbl1NSG/3yiMa3gc25hxh0zaaYLds+3n PYMm8FfrYc6rk5rArLytoBs1iZNP9XOFndUE81OjD40yJzFUfVtumKAJZTkv 6lmvJnERtdPo9hVNCH/VMBM/P4kj4F3whceaEFXuxq8ROoWlHQo5niOaoKu+ rmvJg4HrE+5wyTI0YfclqjqEMnDU+9zlbdOaEFFIHTZJYeAhxwwj+pImFBz4 7bW2loFLNp8P1lfSggGBtPuxuky8ZdsRzh8XLaAnDuLIMSYutp5+a+ehBSvW bLrl+YeJRTVP3Dy/RwusX7ux5yRYuHHunJ38YS04Ld7+dr8lCztmZ141OacF +92Kdy79x8KF/6kdjkzSAlrlwnBFBgsLBBVQa1K1YDiYuGf8kIXf2T4b25Kl BZOXv1RsbWNhu/EPlodLtWCow+Oduwwb57e7iJVUaME4fVvOpCYbc1V8Hpyr 0YLckrAbVmZsjJMHL8S3aAHLRXFKeDsb25j87s0d04LpvTZGxy+xsXm0bmyX gjYkHkyS2/uPja/5Pd6uslIbZKBhxb1lBJ51MdXz0dIGzSCzc0WyBH6uDp+m jbVhxlrx+qABgY0admiJbdaGro0eHJWdBE572vfbbZs27N1wXtLuAIHZmQdb M3dow72dDyZWHSXwo2NBJ3R9tEEsbpEpc5bAetKJH+jR2rAvKLz7Qz6Bz/8V zbkQpw27eZfWttwn8MTo5dCP58nz3E2fJz8lcGF5zop917VBymcpBmoILHBb k3MvWxu27fvHNn1PYL+LD94yb2uDlklE22gLgTW9yo5FPdGG/rl/lOgeAsdv sLF780IbboS69h8cIPCwUa2cUJU2pJ18uFlwjMC3eVvxtQZtyP9rUBnPITA3 y+1qb6s2KNoemPT6SWDvrq/+Gp+1wdqm1HDuN4FX3h+VfDqoDRprOQaG3Bys zLPYfmZCG2xaxDSopH5U2i2X7kRoQ0Em8GiRel2h1NBFaU4b6k8Z9IwKcLCc 2Abxib/a8Cf4bcVZIQ6W8dvX8oJXB5ykN5X+WMbBUvhEcpywDtAkt3yhiXDw coX0zdskdaD+4QNTH1EOFg8pEl6poAPOlJS+A2IcLNpY84GpqgPf448MW5N6 Vljja1KFlg64JgrtZJIsdHp6Q5KBDuCi0C0nJEj9/XmZoAdFB8Z383Z9I5nH UL1ew1oHOq558Skt52CuROv/pkEH4jeHMoxJXux3tccbdOAbEZ6jQfJfyyO8 Kc46cGZ60oggn1+4FFfruV0HFi1vlF0leX4qK1Z3jw6IF6bSZUieo5fC3AEd mLisyzxG+jOT3bxUd1gHWh353uWT/nN+jlRfCtaBZ0mCw0/I+NjO/6L3ndCB ZfxeuzPI+JmFstQ1Z0j/B0/Sdwtz8BSX4d+F+P/HL/50nszfxC6HyoaLOiB1 RqEiWJCDx555RV2/rAN3zbrC6sj8j4icsPK5qQNRNh9+ccj6DPqkzRvn6cCL g2W7fpP1+/668OVSgQ4Mfd548NUSgXvlaiJaHunAFFfVGvM/BO5u4Mz6V5L+ h5m3uU4TuGvVslLzWh342cbin2EQuDNq1XG+DzqQF3hdbhPZT20GrtO5XTrg sf3qBRWy/5r/Cyg51qcDiq1p2zI/Ebjx+7mgdSM60Dhd/6q1mcD16c9ZXdM6 INAcZ72vmsBvJ5uK787rwODaxIrKMgLX2o0cCV3SAdPb+EH7YwK/npWZEhPT hcl59hPNHAKX7owYs9fVhU9mrymnIgn87GnqPam1unCJ74ZCfhCBS4QLfQbM dOFv8oNVsb4Eflj1ZegUXRe6NKfOBW8l+1/Nqv+Zly5U59xplNIgcF7ktpwY X134qSMlv1yewDkdh/c6H9WFQMXUHR+ECZwZn/ltMlIXmlsD7wZPs/GliT9f 1K6R5711l7pZSc6XL3mvW7N0wf1uwgb8iI17362/c/o2uV/ZSPW9XDbWvpMW 2P1EF36YFx0oPcfGFXs1+NMbdYFVwSvfv56Nhzo2mSwt6cLAyiXxvBoWTnxD yD8SWA2rtfRFxh+zsEHJ1X+eYqvBbuD16h/ZLByR8r2hTGk1FBlKfNx+koWF HUP3BZqtBuX+faxdBixs8vpmcl/AapB/GxGUdp6JvzykhV4MWQ1Wb+NiLMKY +HTm8A6rk6vBwVVooNCLietPrNG49t9qMKzIzhkyYWJPkzevnPJWQ8mnvaXv uxk4rnBirPLzavjv6YOuFCUG7rxkYZsJejDnMVnCfXISa632Y3Q66AHjWu8f FS/y+1Rz9ZrEFj04yrB5JGk/ieWJ6cn4XXqwZluCRYzEJPZ0Kr4cFKoHnMs2 OTF3J3C/wKoR+7t6wEUxLLZ/P46nTgknEoL60NBdcDh1ehRz+fU127fpA49F jY7Q+CAmjubsF+jShzjZznNCtYP4+/F9c+979QFpqb1jZA/i17GDKzdP6UP2 wJjjHtdBHHVrNHQbvwE43C11YVcO4JlOloLXOgMYkPVttpHpx2P0RZ8ThQbg vSqx+NvqHty8auW/+2fXwIGadacPdLfhc0JNLiC9FsrrO+/d63+Ejhw5f8fR x4i8L1n0Cgh0o9711TvvHDKCsROii8TWbuSkNiO2GGAED2kzUQ+yupHB5z0n n4cYQd67p5OXjL4iNs1oi+pZIzAkLEJW7uxBwVJf5mZuGoH1u+C4vlu9KOyV 5qbcNiOIpzuW5McMoJEru5Z+dxjBaQfGWPPtAeQemFrq3mUEJYXXunreDiAz jXlV4T4jCBlsoeQIDaK55KaZsCkj2BinblmdOogivUNvbeI3BoVvsd20a0Po jGAN56e1MTRNVA3oXxhB9mVWQvI0YxBwe3l7V8EIEvZ9vtLS1hg87rgWHK4d QddrC5yjNhjD8mebuI0WRtCT6JTiRTdj0HV88tvVfxQNzHj6Cx4zBu3Caase 2hiyG/jZr5BrDKHnqxqsO8eRUFrQL6vbxvAl52h9NHMctVInxXffM4a3NRf7 c/kmkGdWL/XWQ2O4uP67aKzpBDruUZe1qtwYQvLT/pZenkB3m9N36H00hn8y Iis/Ok4i/lf6bet4TYCvcyrQPWsKZeayd+cJmED2bAub++kUMkp4OsEnbAKH XsVyJ9RPIU83C57W5Saw+xszXXJ6CpWw7My8VU1gxFjEztSegTzVPbPirUxg y95lGhlDDMQRUtGdtDGBjOdjhgU/Geg/or90C5jAPufNz88LMVFJlW+r3AYT 2PstfqJ9DRPx7wjhvu9uAgmKBYe8Ikj7xaRDLUEmQP9Ef3J4iYkcQjfPGh83 ge1XjAsaJFjo207x2OsRJpAq04f+rmQhAe2rmfuiTWC/BGXtIGKh3TW5LdMX TMA5racrL5q0/yyjyBWYwO03HxhsDgtlf4usibpvAsuuOx6+sshCxrU2W/qL TWDN3TtzIqJstCet1q/ouQmY3F+rFanNRk9Xt960fmMCJ85dU6HvIu1eo0te vSZwNTj7cXoZG21QZLHP95sAf53pdGUNG5l0zvaVDplAFH1bbk0jGy3bxFcl PGkC8fZHTT2+s1GZmcbJsp8mcO0XU+gZqRfzOXqHBudNQLNW8ViRKKl/H5p4 iP41gYDLGw1PyhLowCo70wM8FDKfM3V3tAkkIbafIyZBASFGlIH+BgItvPfv t5SiwLmGM4eYpF4dOxfcelCWAjsN3/9N8CBQ1fzZ4lcrKOB2xdLS0ZdA/iM5 /r66FPhjbSLyJ4ZAbrkFO9L1KaCQ82BtYiKBaJ6PHSoNKaAnZP6SmUIg2fbX mpJmFLgv4vKLnkmg2sregSpbCoTXj5/SeEqgRxEjbeP2FKgyVZiPKiNQhjGz WsqRAqq+ZxkPKwkUVPgn29+ZArGN7usz3xHI8wBv8pVtFMCiw892NBLIQUXk VLU76S9n/B67lUDKV5R2yeymgKRplMH9LwQSdFZ3RF4U8PRNbGj+RqAfQnoW AfspsDdH+M+HfgI1nLGSrTlEgQgNV/Nt4wR6bmXLxwiggOz6H47fpgiUM+s4 IxtIgRu9mB+xCRQesPPjkTAKnLcOv3JllkDeWt41109QIEjsUlD8LwI5DRx6 8iaKApeN7URdFghkkRWUw4ymgJpjStDMXwKpe5xIkY+lQK9Xfm7IEoHEJM+e tounwNGJIx9HuDhovinhyLFECtyW7sH/uDmo1fb6xroUCswcyg2e4+WgV39v WbLTKTCxNGTVxcdBd1/e01G8SgF9x45/t/k5KD30kZz9DQpoJsvX7BHgoFNr XvAHZVLAry0knleQg/wmqmZv3qJA9etS5xsku955O/w2jwIqWQ3qCkIcRPVq 7iDuUCCT8oAvgWRdxc43SoUUsGsKmB8geVxV/a3ZA7LeqTn1Oss4qEAzuH7r IwqsClt5ZA/JPnrVDUdKKJCY/GfyDMkaRqJNCc8pEHbFbUMayUNmni35ZRTY PuyZmEJy3rqitqpXFFj03fE4kuR9tnMfv1RRoOO//Bo3klU32Hf+wBToVr1b u4LkPqfLXWJ1pD2ot/wj6U+260C3bj0F1ov0FIaTvHun4Tf6B7IeDbSrgiQr eZ3u82qmwIbS6nOJZLxfDzb2R7ZR4ACP2smfZH4yDisMXe2gQM8/68htJHsE +Y08+UwBnYXfF7LIfMqGl441dlOATd/17BOZ784onsnRbxT4LHlo9jdZj8sx Wxlc/RQwD6d7iJO8LSGHtWKIAgOb1PqW83DQ8mQmYT5KgTp921Rusp5tl6x/ bJuggEnlXF8NWf/UG0mzRxkUUEo8smz3PwKJ3tH8fXuaAvV9No2a8wRqKgr9 83qW7Cf+kXD3nwS68LjmX/cvCjy+pFbu/YPs74o9PBKLFAhsOmoowSQQz8er IqeETWGue7fBuz4CvekaErsuZgoKC28/93wlUEyv0fKny01ha/HB8JbPBFoc b5YZlzMFIYPrHza2EOj3Ip+qm4Yp/Nd+dE1eBYHK+dzUArVNwdeJQuS8IFCE cL76+dWm0NhpKXGqhECzslQdvNYUvLeeyGu6RyCOQbiRvo0pLA+XSW5LJdAT kzoTB2QKJ/dDXUUSgQItJc3225mCYf73hrhzBGLQH1ndcDQFbtpU5JNwcv54 jtrxbjcFazlf6SBPAvUlbd/+7ZgpyEh0XMhWIdDRemazVYgpHN2zf1u5DDm/ eOPtM8JMYUnaeqlYhEByZ59Rtp8yhYca9r6rfrORc7iEVFuSKQRE8z637GCj 6v0fWmvvmIKy5/1M02g2csr1dlhVaApdNlESkyFs1NP76/XZB6awx+p62wk/ Nprbof3I5qkplN1bTNN0YSND57iLZdWmUO/NfvRalY1yramOD76awqYo1Qre lyxkeLITC/WZQufWOKr/fRaqenHE4tAAmZ/9MteLslio2yhTW3OctIvKGL4+ y0LLdX7x5cyaAicnstPSgYVipJ++uSRhBul7xuFSMxPtZ2qui1xvBlVBkcGJ mIHsF7lkcxzNQOHQm9utjxlId3kfu3azGQwf1vf8fYv8flKu3RZ1NYPHfIqv fp9ioJhT/MJ5XmbgXTI+UGTOQHnCY931J8xgOo/p31Uwhb7rFkbIPDCDuedP ZlWPTyJP39XPnoibQw+DGaj9ZgyJPXHmVpAyh1eflr1dXTSGauaPb42RNYe8 /bEB0mljSDu5mr1V2RyepJnbZO4ZQzPP3PR/rDaHU2ZHGZFzoyiZ68xd0/Xm oGDjGJavNYqqszquvzpFcqyrxtXQYaTRcepU3YQ5zJb1Uy/n9KPOGW+53moL CD1kJSfxuw0t6J2yS0mwBLVvsZcNz8YjzvbhmhX7rCBC2Kt/+r82vPt6TLvd amtQvNPx6PN0Hzby4I/ZbWANP5aJX7bQ/o4F5C6sDVtrDe3Zui2nPb/jkmtX Uu+ZWUOP652iklrSfq3AScjOGh68Wsx7dakfl1xpbmjxtIZ0Vz0L+WsDmO+S wpudydYgbD/8oXnVEP669VZwSJo1eDAdRsSsh/Dj5epqFy5bA3fjgjPNdQjv Stc/W5lhDXf2VbYePUfa02hU1XvWMBJxKWVxkLSn+rwafm0NOx+3/xy9NYwf Xyx5GkhYQy37QrWL0Ch2jTvT1fjDGhL76w5aqY3iX1FOf7TnrMGz9MCMqOUo hoAJ+/6/1uDTPxQXcmgUdziqdbsIrwOa+RZnw3fkev70RSOtdXCHp53P7/QY hpigzTOe66AstDfE5es4HjlBDXbxWgfvjssWuLLH8fkgkWsP96+D3gjqeSrv BO7wKvx+0H8dLEtRU240mMA+1P6QzvB1sLeppLzqzAROWnDOeJG+DqjS5k4L KpP4Y5jh6In6dcAz1Z0WvHEKN4Pt0cwP6+DLHQPNFZ5TuF7UfaaqeR2oi1n8 exwwhSvuRnLzfFoHr6WvuV++OIXvdr5VSe5fB86Vq846NE/hE6a7PfLm10GE 9Avano0MrDKb+L5BzwauHTDK/WfMxAo1mc6MNTag2B5+uRoxsVTyo89ixjbA ljMsPrSFiQU0Pw27WthAexk2DfVnYo6bKlcf3QbOHktsOnSLieuel1pO77GB xt8231t5WPjw8cH7imk2kCV4/eC+SlK/naAWnL1sA1Utw0X/6ln4b9TN26PX bMCMMvL7TAcLp5/blvU02wa0Rhbv6U2ycNmlN8kbH9jA57N/orVk2Zi3JD8o 8p0NjK3Pdrh7iI2bn/870t9gA+7F3NeCQ9j4+std/uubbeDke8OMlafYWA9L 7pf8ZAOmSPKhViobb22Ndb0/YAOpesnJH5+x8S3mfrOvf2xg/v2WibtzbOzH eW2Mlmygtau7MHORjY1mFQ3v8VDhtVv7YKgAqef/fNQOWUaF7/KbKxplCTwl bKewTJ4KnMmYcnkKqd/Fc2SClKjgFVjJv8qawNFSC8s/q1DBcGVDhagtgZcr PVuWr0kFmXaV7RedCWyxWv2PpQkV2tUtVbX8Ccy15syvHDMqsA9Un7YNJHCj Uc8MnxUVCnaGWUAYgb0sLzPbERWU/z18PXL2//+H8Xz330IFJdav+Q/XCOy8 2aundSsVNLUnNH5nEljepaLL1J0KPVObC4TzCPzAI7SNazd5vpfC0877BP7o O1ST4U+FhJr9Q3xVBOZQ41a+O0IFo1GtpCVM+iuneWY6kArDq2LdBurI/et9 120Kp4LflaC97k0EDswRyIw4SYV0j6Bb460ETokonL99igpXUT///g4CN2tP vvgTS4XT7h/cBL4SmLl4Xkb3PyrEu7utM+klsMgXvePuSVSIkT7mYt9P4E2J R40epVJB5Lszz4pRAjeMEw+8sqgQ98O44jJB4AmcvuxiDhUuzUmu4UwTWDDD 2P9lPhUmxpK7KbMEdnA8rrW8iArd6MvAsXkC+6nJxNs8pMKn2ExbnwUC/zdf OuT/mArnXAeG4C9Zz6K53DelVAjKKyOKlwg8EnNjkfWSCplarLU5XBzMu8ty r1IlFS4e+iS6i5uD1Y2/VjpUU8H2XpOEIA8H2y2LUjr+hgpbnVWsi0g+MKgU mfuWCrsfK6bY8HJw7KvKL03vqfBxYoXwW5LzLu0xn2+kQvFs0jMaHwfXHP53 VbOVjDejLbGY5AHbnJmtH6kwedD/ohg/By8pItfoTiq8ePK5ej/Jqj/6S+5/ ocKvq3c07pNMa4yR6OqhwsDUocphkr1urwrk+U6FEdvaREkBDo6Oqm02HKSC df/uCyYkZ7se1N89QsZbPv7WgeQqPb4LieNU6A1Ut3ImuZfn3sTzKSrob+6Y cCT5T8/6DQMsKry3fP/ZnGSl52P3RKep4Pymh1uBZOuLiXxWs1RYFOQEMsnz dx3UPej7i+zPdzOqpSSfXPfhzaUFKjjZ9koHkZwhHaBW/Y/0f+t9FxWSXzKE z05x0SDPxaezmoy/q+5hnxwfDfRWqN11I3kuy8mGLkgDE4nfNd/I/MmGsTKD hGngxCW7ZgfJpk6pv7PEaGBvcWfqHZl/d821OxuW0+Dg0d4/OiQf/9tWNitN g4xanoPRZP2eFUuGbVGiQZaHsw0PWd+O+GcdkSo0KE7a4ndwkcDTe9yMC9Ro kON6T+o+2R9GYtfYi9o06Gsarpgg+2nrqNkWfT0a8PDU1wzNETjoddfDHWto kK7mcLOO7L/HxxQOl1BoUNYy1GXFIXB++lJPszkNLIPD7n5jEfjq8zGnSSsa nE4Sd/NlEDjqd6mROtBgWmvpkNEYgY8pZ9+m0WkQcPhjd8gwgb1RnMxuBxpU JN9BWQNkf/+3bf6KEw3MWb/4CnoIbFVkGVDiQgMf+unAxC8ENmha2dvsSp6f wTeytZPAUpJszL+LjL+rd1l2C4H7sy8knvClQfLo0WFp8v3uwCG/r/jTYNXj vS7mlQSuH9p5pOQIDYbCTszBSwIX6+q4TIbQQPkJR1ziCYFPltbJ7T5Dg1pF GaW0W+R8aP57j3aDBnYS0x6aEQTmJYbld2eS9Zx8dqYlmMBzkk3nT9yiwQ0f ead9Rwjcu+PmsZI7NJgfuDJr403g+8NmZuolNPjBs2vjoCOB7f4EvuX/QAN/ g5/ZneR8NVP1MFdvpsGFgh85IhIE1rWlFtHaaLDV6n2NvhCBxRNFkk98pkHN w5vxOgts3CNV5DY5SAMWd9GsWB8bH9cbHGpeIOvZ6jF6K4eNzf+TbDRYpIFD Nk2g/Bobz/fbPk3mRmBrdrD/ZTIbn752+6yTEILWlQ0T/lFsnMDlo9wsiyBB Wjn/kjsbZ3SNbW8yQuDJq2YsxMfGnsbyVH1TBKEChwPjfrOwSvIGzYsWCOhu B7RH2Sx827boxyYaAkPvO1Z7vrLww+LDaY2bEQSGr96p9IiFq88xGz74Ifgt Gik05MLCMX3KJasDECQdj1NoorOwneWWG+ePIegZv3Eyy4KF37Me+W4MQ+BS XuL9Q5WF23cG8XyIReCUb7M7isnEw4Y/1jVkIzhZNZS4dI6Jhb79elzfgaAr +89jhxwGVhM+Ns/8jGCcKv7HIp2BLa2GbKW/Igir8veTPcfA/jeaO/f1I7DW l2u76svAH9zyF+YZCC5FfNhRqM/A6/207lzjAfgUYDWhXTqFBfpb2e9XAFS3 COwnyibx+fZVCQbOADRxm/11CeP4L2+s76ALwECiDSszdBwHWwzYX98GcHjl 7Z37vMbxzpwcXq7tACKFg8pPzMax9tEVsZ92AyRvvJV0dHgMvxWUPR11GEB3 PDE6eN0Y5kJCoQ3xAH3buTL1v4/giEfsvT6VAAm7OD18M4P4y0h8To62LcTm tqUh+IJnCl7o3LtgC+luYa/FJd7hXwfEPJV+2cL8AVbI57Fi9OL+UufuPXaw RrDC+0FyO5rYVFmei+3AbsNZ5ZMRvYhn7NZ6V306lIu6GQlyj6CbPTMwYkCH bu4R9QmZEWTUttEmwpAOb7sryyt1R9C+8p8mmcZ0aDFNz7feOoKqLmxRG7Kg gzzF2vh6zgg6sfbfQog9HY7l972osBxFzJN7Si7tpQMvb8pg4IExFH/s2UON fXQI8UnZnRY2hlYcECp84U2HfxJrdPITxtCmzaW3vh4k/aH2XMx4MIYKVUQv rgqgk/POPPLz9Bg6UFvp+zSCDgZ9OPJs9Dj6IrJixcc0OjSqi/51PT+BFp2u dF26RIcItRe2x7ImkHaqyGXXK3T4UHek6fijCRS2/K9Q53U61Oa3n1r/cQJJ yfbNdd2iA3/A5LIF+UnkrJrb0fuQDu8Khvtv5U+it0YaFybe00EKKa6JvzeF mCFZ6+9/oEOg2Zf9ki+mkPRzae6AJjpkfPE7d/7tFDpgxneS0Uqu/5jubT08 hbisR33Zn8l8HRFJurWSgdbRC21nh+mg+mQ6fP9VBjoQv/Jf6SgdpN+ait68 zUAX3t0oDx+ngyHj+d+KEgbq3pC09tcUHdSLQxtfNzNQhNNhlYVpOuBBytpq XibKSRnsrpihw/nlyo82SDLRu9ZdV0/9pAOfgz69UpWJZLZtEvk3T4c1Mcsy vK2YyOZybf3rBToUfNHbcNmBiQ5+sj535i/J3+WJR25MdEHmORUt0mG2Qjvp uTcTPduu/3tpiQ6WV7DwnWNM9D+l68VH "]]}, Annotation[#, "Charting`Private`Tag$191702#2"]& ]}, {}}, 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]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.8744924239073*^9, 3.874492434342494*^9}, { 3.874492525265184*^9, 3.874492534081628*^9}, {3.87449263200832*^9, 3.874492663220229*^9}, {3.874492716917364*^9, 3.874492747887972*^9}, { 3.874493734978797*^9, 3.874493761656227*^9}, 3.874493821373499*^9, { 3.8744965368050833`*^9, 3.8744965767195997`*^9}, {3.874496630638234*^9, 3.87449663775636*^9}, {3.874497457776657*^9, 3.874497497238443*^9}, { 3.874497614899281*^9, 3.8744976315579853`*^9}, 3.874497784354149*^9, 3.8744979163020163`*^9, {3.874497976433652*^9, 3.8744980279944572`*^9}, { 3.87449856140493*^9, 3.874498596081599*^9}, {3.8744986506660357`*^9, 3.874498659561907*^9}, {3.8744995172384863`*^9, 3.874499543395657*^9}, 3.874575420536887*^9, 3.874576454174355*^9, 3.874584548965742*^9, 3.874643414283586*^9, {3.874643518171014*^9, 3.8746435413715563`*^9}}, CellLabel->"Out[58]=",ExpressionUUID->"b1d6f99d-b2b7-4cf8-89c9-21fd740767cb"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"fOut1", "[", RowBox[{"e_", ",", "r_", ",", "ang_"}], "]"}], ":=", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], " ", "r", " ", RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", "e", "]"}], "r"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.874578099828415*^9, 3.874578119881692*^9}, { 3.874578170102661*^9, 3.8745781729058123`*^9}, {3.874578224113624*^9, 3.8745782445705442`*^9}}, CellLabel->"In[59]:=",ExpressionUUID->"02d29a46-a713-4510-a6c4-c7885644ebf8"], Cell[BoxData[ RowBox[{ RowBox[{"TMatriX", "[", RowBox[{"e_", ",", "u_", ",", "ang_"}], "]"}], ":=", RowBox[{ FractionBox["1", RowBox[{ RowBox[{"kIn", "[", RowBox[{"e", ",", "u"}], "]"}], RowBox[{"kOut", "[", "e", "]"}]}]], RowBox[{"NIntegrate", "[", " ", RowBox[{ RowBox[{"u", " ", RowBox[{"fIn", "[", RowBox[{"e", ",", "rr", ",", "ang", ",", "u"}], "]"}], RowBox[{"fOut1", "[", RowBox[{"e", ",", "rr", ",", "ang"}], "]"}]}], " ", ",", RowBox[{"{", RowBox[{"rr", ",", "0", ",", "range"}], "}"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.8745754357565603`*^9, 3.874575556435472*^9}, { 3.874575609914709*^9, 3.874575610354085*^9}, {3.874575679988274*^9, 3.874575692501854*^9}, {3.8745764407258472`*^9, 3.8745764439720697`*^9}, { 3.8745770901294737`*^9, 3.874577243690724*^9}, {3.87457734163827*^9, 3.874577357371963*^9}, {3.874577625146793*^9, 3.874577640533764*^9}, 3.8745777399371223`*^9, {3.87457792446696*^9, 3.8745779410384502`*^9}, { 3.874578029515486*^9, 3.8745780311769333`*^9}, {3.8745781358115873`*^9, 3.87457814829599*^9}, {3.874578855777886*^9, 3.874578885580357*^9}, { 3.874579508516512*^9, 3.874579541863236*^9}, {3.874579630491661*^9, 3.8745796707960176`*^9}, 3.874579875962591*^9, {3.874579987275013*^9, 3.8745799875558023`*^9}, 3.8745800379421864`*^9, {3.874580095007987*^9, 3.874580115879561*^9}, 3.874580349535874*^9, {3.8745807387762537`*^9, 3.874580778974943*^9}, 3.874584642453106*^9}, CellLabel->"In[60]:=",ExpressionUUID->"330a3de5-975a-4319-bbb3-e67ba931053f"], Cell[BoxData[""], "Input", CellChangeTimes->{{3.874579940838122*^9, 3.87457995611978*^9}, 3.874580012041656*^9, {3.8745808070920677`*^9, 3.87458081163946*^9}, 3.874584750072596*^9, {3.874643440903295*^9, 3.874643458326692*^9}, { 3.874643584995323*^9, 3.874643610298279*^9}},ExpressionUUID->"70cbfdea-dd92-496d-8c10-\ 256ba52aec21"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"u0", " ", "=", " ", RowBox[{"-", "22"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"ang0", " ", "=", " ", "1"}], ";"}], "\t"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ SuperscriptBox[ RowBox[{"TMatriX", "[", RowBox[{"e", ",", "u0", ",", "ang0"}], "]"}], "2"], ",", RowBox[{"{", RowBox[{"e", ",", "0", ",", "50"}], "}"}]}], "]"}]}], "Input", CellChangeTimes->{{3.874584661336244*^9, 3.87458467461047*^9}, 3.874584733384186*^9, {3.874643366819965*^9, 3.874643367100726*^9}, { 3.874643561728964*^9, 3.874643669911059*^9}}, CellLabel->"In[79]:=",ExpressionUUID->"ac7faa5f-86e3-493b-a9af-de5025387958"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV1nc8Vu8bB/CHr/ANEbIyn8eMiJAk55NRT6KeojIesvc4yEjDSEpIUchX RWloGA0jESlRRFIqlZEtGQ1l/s7vr/N6v17XfV73dZ/7uq6j4Bq0y4OTRqNt 5qDR/v+kp85fuShbYlw69PVjv0OHURmvmlyAdyoh96fa+53TfqI2sjBf1fsS URN/yCBlzXUiXb+PLXDqOjG5KnlFf0Q9Ub8m2Ivbu4jYnD2+Maf7C3FoxWL5 Yu49wn94KXfb7UkiI83ceC6ljDiaWRmULs+JIsHkuj9RlYRpysrtHdbL0ZDc xvzl9ZjYxmhaLZUvh4l4/sHIm7XEzOKqrEIBDRyuK1Kbzq0jgrQU7b8EGmAp p7V/WOYzgqOF9q5rmTky8LvwR8pzIuO6GKtpYScY0ecng+Mbie2Blm1GZk4o rjLSnYh6SRRuoT/xI71hNNcVHhjcTMylvGguEwxBo+HRim9eLUSn9oLIWrEI 3DISOaJX1Ep8CZg9XsV1AJOd7pf233xNRBe19dQMR8DgYGnNvattxJnU2ci0 gDAckeLtncp9Q2xtd78w1xqCpxV2/+jktBPljFqaSyqJpXa3FIMz3xL2xYs7 OKMCwPozZ16c9o6Q1lPhWpbli8zM7V7jKR1Eg+Ujxc8sb3zRzz2hmfie0P9+ 7eVAjCcU300WBMR/IJ4EXsqz5PeAb5jpy9vRH4n8Qbqt6Bc3FIue+zYa1UmY VAzMXRxwxe97AwLq4Z+IrXJ3D5pJuWKjtYGWb/Bn4rJoqgVIF8RPJbIK/L8Q hmaXdwz1OOPFmc7gIa8uYvLX6SZpX2ecyMpoTNfuJhYq9sf0cDlDw5uwX1vU Tayd3vRGxWkfWtYNjbRp9BDM7J5ZvyYnhPCcORhys4eo0eY9f4rlhBUd6/mF VXuJJ9zchaxBR5Rf680pudpL3OBLDll6yhEO4UmrdzK+El0DmlpJJo5YMNet nsj9SvDqE020fxyRt+Lz9tOyfURQxGH+/mY2zPqPdWnl9BEiR3bSxvPYGLqv SbZI9hNy1j/yeY6wkRTfQQvK7CcOnnYfhQsbmjYxZ5atGCBWGV/JeGXBRhtD jV6YNkC4dccdoxmyEfbj9V0roUFidK+/uLEmGxJ1UaZjKYMEGdAXyKnCRmUa oz2Zb4j4PaHj9oHBhpNrk7tG4hCxq3vrPFuRDQ6dsF8vuYcJe5a8+1pVNvI5 ZBP84oeJV+GtdAEtNra8rhfj4xwhQmcDy64YsDGSG3T9ZvQI0crPcCw3Y+MU KWFgMT9CzKo3cItYs6GN2obhqFHCbSAhNtaNjXZBX7vEP6OExO0j5e/C2Ijs Eh5RDf9GCO77JjKSyEb1EXc+7+Axou9aEv1RKRsu2wVyeMbHCCa7778NLWxw yZZqXPf/TvwT3sw9M8SGRRXP9gGvcUJeZa1Vm5wjtBddf4lNjBPJyukRhoQj kuX3vWIYTRCHUpYuFu9zxH7Xh2E2TyeI05dsl4RecYTZAPn0QfskkX1+pIWl 64Tesc8ukb9+EF2XnXpqgvZBfr4sZ17/D8H7YSxEhc8FzQL6/3I50rBBMCDJ 6b4b2rYJZ706REOjjte7jOdueJ/4Xfl8Dg3ytfcYTz66oW/JdTPNTzSo03aI TdLcMTcvHmPrwIHlDvs4blu6Y9X3v79v23FCgsPzaWSPO068qurbvYcLgXVc +i8XPXCKPztUPpwL1Qt/12ks98RZi3DO0XNc0JkyJQ/TPXGpXlM+5i0X2u27 vSbMPFFafcnhps0S9DrYvBJP9ER/YWzbwi5uBC+kj3kv84JJqnnN9R28sDes 4xAQ8EaMxf2CtkBeKCklnKNLe6N6CSN9PoUXJSKd/arq3jA8RPO0buLFxwjX lzxbvbHWp5JvkfkvbHWcZQTjvaFoqr13j8lS1PV0T2+Z9gb3tPR3Lj1+jDqm 9yS2+cDsblKHlg0/3HiWzdR0+SAuYKbGPpQfoa5hCcPffLDwtSO9uIQfnLW/ xAV5fDHdmraerSmAPl7H0duGvhi6yXvsnsoyvBdkj66/5AsPrRkBbQEhlBk6 abQ6+sGy8/hVCVkh+Ek+TTHy9YPu8RUbaVpCiN489zcr3A9cXWv8W1hCMBFx kKGn+uHyKa8XAWeF8NdF5WH4Yz90jbUn3Fy5HMzEwFs6Mv6wu120yFgljBLd nm40+wO2GzP5NghjSITwqevwhyrXS80f24TBWdBjs67XH38cBhyfBAhjq4FQ 7I/f/sjgk3nkXCIMQxc/+2q5ALzxPRl5wUAEkuHn918PDICVmsek2BZRvH2f 0bScMxAzSWGVn/eIwrHeQBZLA3Hj+7Fj+Z6iSOX7/MlVOBBc969J6iSIIlO8 78kxeiAeGg9tsnomika6toyJSSCUbfzSjpquQM2wg11OdCBo0cFrJwgxpM7P 5glNBaKwJ3a+dIcYOJiH8z/9CYSDWdrzw/vE0FLyQOriYiBK/73nwBctht4L UnEcAkHwP/vzqHK1GMQdQqW2qQThQ0FEO9tIHC+Vz+6csAvC3fbDYY0GErj0 TnKuvCwIN465u/ZulUCdvkRzeVUQLupv2zFrLwEJw9fsO3VBOJklobb6sAT8 23S+7G8Jghv73qfTtRLQFs0LOjIQBNG+IVNbC0lobPD+s+lfap6ca1kT7CCJ 1uZH3CN8JGibS2VO+kvCZOZ0dfIyEt+uH52uPCUJGZ8OoyciJJ75yd6SeyOJ E+GCU2MyJMJ/WAsPOkgh5+eYsqU2Cf98w8VFfym015cM5K4l4bpb4ZvEESnc +yaWOaFHYnvZ92cWuVIYNlbqjDEkoXIw8UBhnxQaXCx9PExJvOd83B0WsBLW /w45mNiQ2CC8qogrWhpZGaWT3iEkXnHYNzanSkO9q/D7yv0knCcTv2bkSqOm MzfpRRiJ+NZhcbUn0nC+ffS+1AEq/lRBjNUSGQgOrlY/Hk3F86ntykiSQZFO 60h6EompGVv/fTkyWHNf8BpnCrV+5ESC6h0ZJJS7GAWcIlHQOPTw4SsZuJoU 8OqfoeKP32B0LZfFrlL1+IwMKp5L9ZdKlizGjn9RyMglIfZzr+DkDVm48RWv f5pH4sbX42oPK2TRbiTn8f0yieYng46WnbLwl7/Mte4qFR97vZ6UlUPKIdSf L6DiyY7u9Vpy6LcR77xxk8rfmWeWE3Jo5v4qe/8WtX/CS+ucixwuGL3D4zvU /uaVsyqo/xyZnOWWN0pIGI3tuRv3QA42k8f0z9+l8v+U0LStXg7W/Ld8E+5R +68coH0ZlANb0KBq9wMSshvf6MaukMfKIXWvhnISXrNpF67ayoP0WXeV9pjE 2e3f6g44y+PdFauYW5Rr8sxHrLzlYdq208q6hoQE84/+7wh5eCo7Pz9fS6Lh rGPr5kx5zOe8j+N8SuLnYOlvqUvyuJtVqHuOsvwGIZnxa/I49q3qm+IzEpE9 T3wyS+URVJtyYEM9CTVN1X+G3srjX+mybeYNJPbExqo9+iwP+gvVsBrKce0f d5zul8cFybvlBo0kPkal5Bj8ot7f9DFT/gWJk8+n9BJFFdCU/Hqm+SWJUilL tqO0AowF7NbrNJHoDbgap62oAG8nv6vplA1FbVs+rFVAcOELwe3NJEadq7xX WSsgV4JF5r2i8rsvlrpgr4CWihVO45TNeMgHba4KUAaZbNhCIucOnfNgiAKY sLjfQLmBdkh1R5QCtr6PvMvXSuVv/XY7I04Bk+nZM9soW84c/+/lGQXsleEK eUo50qqn9tJ5Bfw0+351jnJ+ruFQaJ4C8syFVuu8JjG3eUxXukQB91ZqGZ+j rJq92WGiXAFFV2ubnlC2GbsU+7RGAW9Dy8rGKN9J3/XKv1UBHDyDtza0Uecz cOsn3ivg8kxBhRNlbsMlK1d0KyDnTK9GNGWdFKdNw4MKMIl9zXOBslN3mVfV OJXv1APLcson1y4/dWZaAXfim+dbKZcm+N73WFTApm02MoOUez/UfVzPQ8f4 6/g7M5SXrZbhWCZIh6x0VjHfG+p8Y8JVesXoWLj6TFWKsuebFqtSWTrKPEwl lCmnKavtP6lMh3mTeawW5eoDcdlOmnTY1i966FMeaeqs0dGnI7DqcoMhZTF5 vUFuYzquZjndMqJsEnpKoNOcjg9VLkL/d1D94NoiKzqshT/8NaBcg9t+Gnvo uPNxpF2HslAleaXAiY6OxsVGNcrOenqdyl50fPzb0SlDubjor3B+EB2F4doC gpRpq6otFCLpKCAanOep/Hbmx8VdjKFjkLnnwxDly7JbHq5MpCPvUPqB15Sn svimss7Q8f6RnlkZZRORVjWxbDq29k1syKacnnLWJf0y5YZwtyjKfTx254Vu 0fFwfUTVXsq6cTKvU+7RMcWda6lDOX6uh5fvEfX+uRyRpZTfhl/Diad0BA+K r+iivne4n1Zx3Fs6LDoU22Io1/f/GFz8TEdzLC3dirK4c7nc4QHqPILGssQp l9tsSo2YpmPkUuSRK9R9421Z8vznIh26j1luHpRtt75YCOZl4OynO5mKlP9u tA70l2Tgw5bdf7Op+21RLn5tWIEBz/ZG9V2Us3U+ffZcxcD7L+Ll3JQNVTys XDYwEJAfPeRF1cshoQiNPY4MyA02jS+l6qvp5Ab3Nx4M8A74GNyh6k9mCS2H FcjAt6Wrxy0pV/89wbctmoElNNWSeKp+aV+zR4g8Bt7+yGh6S9U7y3EfvaqA AftaiSY3ynkdDHvDuwykhp+1Gqf6g0nT7UbdOgYCldG98JzE0QfVN9T6Gdh2 PugEjeov7VpHu6+NMdCU1d4ZRfUfxZtbJBR/M1A9e/rpFNWfnl5sPS7Lo4g5 6Zx9nXVUvZzo9RRRU8TRCP+FVKq/nbTnVpr3V0Si3OVvJx6RMF7D/3t4vyIE FpcwhitJTC4Rfv7ukCKm54uctlC2LZHxKU5WhGMNMTZfQUKJV++O221FaP0Y yLYuo+7nAze9F6OK+E/zfetlqn/vT/LhLvuhSPX2Lev6iqn56BLUcWVWEbKN /DUMyqf4Dx44zKeE97xFxIVCEg5uaVVr1JUw2lekGkXNh99CteaZvkooiyRV P+eTuDlQLxYfogSxDMcEDsqOj5oGySglbGAE0BWvUPl6vU+0OKmEI8OVK92p eXWmerx5vkAJE7Y7TFoukNDwl93jPkytvyfz1pqad27PD3pqeyujwdo4TiGB hLuR8vbfQcrg8V1nIHaMqu+SVr3KCGWMCL4O+jeehPd/SkvMjyvjeHy1z2gs icCgliu215Rxe41uyYXDJKLEGT3RfcrYnNLQ+oia52leLxxeOauAZ6/6mnEX ErU8kjv97FRRWC2iTRqQGLiiafHBRRV7DeLWT+mT4IeZ6RZfVSjmiveHUP8X tpFBeoyDquAQ/atO6pAYH3om2Zmjiixr+Xx7Deq+vQjptehWhV6iV8aEHIkD yU2hq7zU8GJ/Ga86Nwnt5TEZw/tXISQge+Pui0Fw/rFRY7u/BtQ1m3r2PApE 3sVn0tMpmphpa9xoXRyAe6cMO9t2rUF4RVVd9Hl/7H+4kXXBUhv3W56/paX4 4fGLq1OJDjpwP8+0i/bwhc+W9VU+tmvx4KiV/N6dPsi5of3Az1cX7gbBZ4TV vHHmR1UsGaEHpXW7V3XxeWHgZli4d4g+KjU0Vap4PfF0c1pWXNw6BBZevtz/ xx0cOz72psYY4M266NVlXO6gbSrlyD2wHjpWFRqicm44IT5t1XbcEGXrXj3z 03YFae/2ZProBrgqWoqVObmgJ1bXnThnBKZSf2FGgjNE089/TMzbiOUi6VzZ h/fhmtCqA8//M4ZpnkT8W1kn1IbImavcIrD28ULz9wo2LsrnSm+0AayPTHJb xDmg6tAMzbsVOPD6hK2tuz0UtvHMMfZugm3KQLCeqR11LmpJH9o3YdzmsVMM 0xbJ9Qtr5B1NwH9fiJluuRfpocO+zp9MoGUgFyoeugeHVsgK0u1MoZkUuOLW nd0oUFvyYn+3KYR2328xHrIB908OyVonM+yKVV3WaGyD62tKjlwcNMMlY3UZ swxrqLne3D4fYA7Fneuvr1zchc6tFXd3j5qj3N7McfbwLrRdiVpNhG7Gwxjx sdn5nfhzb6cRfWozjm0aNBs9vROL5SEPEgK3wC7stgKH1k5sW7PZ/NCvLZiN +tXN9YqF545aPn6hTKw2PGJHHmRB2M278kIYE80Pf38RjGLByTtPoDWCiRB9 n+9FkSz8DhG5q3uIidSKrTcnw1hQPDE9Mx/PxCt/+9SDJAsxdx8nn85gwjJ3 6MMNDxYMeVjFDyqYqBzc3uTFYiGBP5FzqJKJzk+u0hI7WHi9/ImNVDUTi2cn vzdYseAtrfv3yBMmfDTSpDS2sZCpLWHCfMlEla3nsT/mLPx06H7z8RMTTZ3F YQUbWICLpLJAFxO/xKpeuxiykOS5K5LoYWLA/extqfUs0IOfSuf3M5HzrOJz ij4LOxNueAR8Z8K4NVIlSpuFnKSesksTTMwnhYfqr2Fh6LTU0rYpJoJT/Ix+ aFL5/JdcqD/NxARzl1mgBgtNuc9oPn+ZkE1ridNQZ0H82sKu/2aZWEc4bBxV Y8H11rqrzfNMrFhbGXpTlYXCYnJ6cZGJXIcHSr4qLPwPZm42Mw== "]]}, Annotation[#, "Charting`Private`Tag$384951#1"]& ]}, {}}, 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]], ImagePadding->All, ImageSize->{918., Automatic}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 50}, {0., 400.29627226080436`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.874584679169091*^9, 3.8745847376323347`*^9, 3.874643368809701*^9, { 3.874643431596963*^9, 3.874643463104959*^9}, {3.874643571459279*^9, 3.874643579152568*^9}, {3.874643614360291*^9, 3.874643674957877*^9}}, CellLabel->"Out[81]=",ExpressionUUID->"63f508fe-d80f-4b13-903a-57390834347a"] }, Open ]] }, WindowSize->{1389.75, 768.75}, WindowMargins->{{0, Automatic}, {0, Automatic}}, FrontEndVersion->"13.0 for Linux x86 (64-bit) (December 2, 2021)", StyleDefinitions->"Default.nb", ExpressionUUID->"3e3ae8a2-6cbb-4d2f-baee-671dff956548" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[558, 20, 1183, 22, 92, "Input",ExpressionUUID->"502c7901-c122-4614-8b72-a04caf16b1e2"], Cell[1744, 44, 1296, 35, 51, "Input",ExpressionUUID->"8acf02de-4007-4da0-99ab-5688c509e7b2"], Cell[3043, 81, 488, 10, 50, "Input",ExpressionUUID->"e4eb0afd-6ac9-4727-a316-8fe76f4fcecb"], Cell[3534, 93, 603, 13, 50, "Input",ExpressionUUID->"8fe4d871-c7e0-46fe-8f61-898f90834b8b"], Cell[CellGroupData[{ Cell[4162, 110, 1319, 28, 90, "Input",ExpressionUUID->"221cdf39-c3eb-4a84-8500-19e402ba9a9a"], Cell[5484, 140, 66270, 1106, 230, "Output",ExpressionUUID->"d66364ca-3afc-4ff8-ba35-99c94587bf18"] }, Open ]], Cell[CellGroupData[{ Cell[71791, 1251, 672, 18, 46, "Input",ExpressionUUID->"81e93a97-5638-4def-b308-95c66e4d9014"], Cell[72466, 1271, 63218, 1057, 230, "Output",ExpressionUUID->"5ac48ab4-be7f-4540-a299-281d1ed3902e"] }, Open ]], Cell[135699, 2331, 3442, 81, 75, "Input",ExpressionUUID->"d800b49f-9b04-4303-885e-198701a8fba7"], Cell[139144, 2414, 629, 13, 29, "Input",ExpressionUUID->"036b641c-9c8b-4000-ae1a-448fc6136597"], Cell[CellGroupData[{ Cell[139798, 2431, 1397, 31, 71, "Input",ExpressionUUID->"6f15ea9b-99d5-4a4e-88e1-2b680fb1bba2"], Cell[141198, 2464, 20720, 361, 230, "Output",ExpressionUUID->"c5f65373-64df-472d-8741-a10399890e66"] }, Open ]], Cell[161933, 2828, 1655, 33, 47, "Input",ExpressionUUID->"eba599fa-45b7-41f1-be81-be340b9f2765"], Cell[CellGroupData[{ Cell[163613, 2865, 2552, 46, 51, "Input",ExpressionUUID->"d15ee31f-722c-4a79-b9bf-b0ddb3b85de9"], Cell[166168, 2913, 25942, 449, 242, "Output",ExpressionUUID->"2b73a078-958a-4db5-97c6-3b13b7839335"] }, Open ]], Cell[192125, 3365, 1638, 39, 49, "Input",ExpressionUUID->"1bd789c1-ff1e-482a-8ee3-6d28b8dd4365"], Cell[193766, 3406, 930, 20, 29, "Input",ExpressionUUID->"b34b6885-f3e9-46c7-b40c-9e3d7913dae7"], Cell[194699, 3428, 1250, 29, 29, "Input",ExpressionUUID->"db4db487-96ba-42c4-af20-5155a072d67e"], Cell[CellGroupData[{ Cell[195974, 3461, 1665, 33, 92, "Input",ExpressionUUID->"fba925bc-a4b1-464a-ab0a-78ae801847ef"], Cell[197642, 3496, 42167, 711, 429, "Output",ExpressionUUID->"5bb6c898-eef8-4c93-813c-b22a8f757d69"] }, Open ]], Cell[CellGroupData[{ Cell[239846, 4212, 1549, 31, 92, "Input",ExpressionUUID->"30fd378a-e97c-49ff-b96a-011fbeff0dfc"], Cell[241398, 4245, 33123, 562, 230, "Output",ExpressionUUID->"b1d6f99d-b2b7-4cf8-89c9-21fd740767cb"] }, Open ]], Cell[274536, 4810, 561, 13, 29, "Input",ExpressionUUID->"02d29a46-a713-4510-a6c4-c7885644ebf8"], Cell[275100, 4825, 1625, 32, 47, "Input",ExpressionUUID->"330a3de5-975a-4319-bbb3-e67ba931053f"], Cell[276728, 4859, 347, 6, 29, "Input",ExpressionUUID->"70cbfdea-dd92-496d-8c10-256ba52aec21"], Cell[CellGroupData[{ Cell[277100, 4869, 709, 17, 73, "Input",ExpressionUUID->"ac7faa5f-86e3-493b-a9af-de5025387958"], Cell[277812, 4888, 8672, 161, 607, "Output",ExpressionUUID->"63f508fe-d80f-4b13-903a-57390834347a"] }, Open ]] } ] *)