(* 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[ 125842, 2328] NotebookOptionsPosition[ 123151, 2283] NotebookOutlinePosition[ 123549, 2299] CellTagsIndexPosition[ 123506, 2296] 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}}, CellLabel->"In[1]:=",ExpressionUUID->"f435ccda-8451-4a6e-bb03-de9d5c4df17b"], 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", "[", "Small", "]"}], ",", RowBox[{"RGBColor", "[", RowBox[{"0", ",", "1", ",", "0"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Dashing", "[", "Tiny", "]"}], ",", RowBox[{"RGBColor", "[", RowBox[{"0", ",", "1", ",", "1"}], "]"}]}], "}"}]}], "}"}]}], ";"}]], "Input", CellChangeTimes->{3.871701793434409*^9}, CellLabel->"In[3]:=",ExpressionUUID->"9f959716-e762-40b5-9ace-2703181a53ba"], Cell[BoxData[ RowBox[{ RowBox[{"kIn", "[", "ee1_", "]"}], " ", ":=", " ", FractionBox[ SqrtBox[ RowBox[{"2", "*", "mass", "*", "ee1"}]], "197.327"]}]], "Input", CellChangeTimes->{ 3.870144988515087*^9, {3.870145025281687*^9, 3.870145047838258*^9}, { 3.871451965683363*^9, 3.87145196928242*^9}}, CellLabel->"In[4]:=",ExpressionUUID->"8771da70-9e89-47b0-beff-4a13a47d8d6d"], Cell[BoxData[ RowBox[{ RowBox[{"kOut", "[", RowBox[{"ee1_", ",", "U0_"}], "]"}], " ", ":=", " ", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{"ee1", "-", " ", "U0"}], ")"}]}]], "197.327"]}]], "Input", CellChangeTimes->{{3.870145798453801*^9, 3.8701458265877657`*^9}, { 3.871451836727564*^9, 3.871451840179946*^9}, {3.8714519734346457`*^9, 3.8714519739887877`*^9}}, CellLabel->"In[5]:=",ExpressionUUID->"0db15ccf-6025-4ff3-b56e-439ee9ed6714"], Cell[BoxData[ RowBox[{ RowBox[{"phiIn", "[", RowBox[{"A_", ",", "kk_", ",", "rr_"}], "]"}], " ", ":=", " ", RowBox[{"A", " ", RowBox[{"SphericalBesselJ", "[", RowBox[{"1", ",", RowBox[{"kk", " ", "rr"}]}], "]"}], " ", "kk", " ", "rr", " "}]}]], "Input", CellChangeTimes->{{3.870152844667737*^9, 3.8701529287583*^9}, { 3.8713902966619463`*^9, 3.871390324532987*^9}, {3.871390417543907*^9, 3.871390417673119*^9}}, CellLabel->"In[6]:=",ExpressionUUID->"4799f79b-d1cd-4a40-9778-92c5f44cfcdd"], Cell[BoxData[ RowBox[{ RowBox[{"phiOut", "[", RowBox[{"del_", ",", "qq_", ",", "rr_"}], "]"}], " ", ":=", " ", RowBox[{ RowBox[{ RowBox[{"SphericalBesselJ", "[", RowBox[{"1", ",", RowBox[{"qq", " ", "rr"}]}], "]"}], " ", "qq", " ", "rr", " ", RowBox[{"Sin", "[", "del", "]"}]}], " ", "+", " ", RowBox[{"qq", " ", "rr", " ", RowBox[{"SphericalBesselY", "[", RowBox[{"1", ",", " ", RowBox[{"qq", " ", "rr"}]}], "]"}], RowBox[{"Cos", "[", "del", "]"}]}]}]}]], "Input", CellChangeTimes->{{3.870152939201292*^9, 3.870153012792206*^9}, { 3.8713903413790894`*^9, 3.871390347705697*^9}, {3.871390427131913*^9, 3.871390481900365*^9}}, CellLabel->"In[7]:=",ExpressionUUID->"5118c2ab-b9fd-4c76-b26e-a2d5c845c6fb"], Cell[BoxData[ RowBox[{ RowBox[{"phiIn1", "[", RowBox[{"A_", ",", "kk_", ",", "rr_"}], "]"}], " ", ":=", " ", RowBox[{"D", "[", RowBox[{ RowBox[{"phiIn", "[", RowBox[{"A", ",", "kk", ",", "rr"}], "]"}], " ", ",", " ", "rr"}], "]"}]}]], "Input", CellChangeTimes->{{3.8713905566631527`*^9, 3.8713905953590097`*^9}, { 3.871390650816853*^9, 3.8713906615402107`*^9}}, CellLabel->"In[8]:=",ExpressionUUID->"86110f4a-bc84-4872-9e94-db9f6d73ab7e"], Cell[BoxData[ RowBox[{ RowBox[{"phiOut1", "[", RowBox[{"del_", ",", "qq_", ",", "rr_"}], "]"}], " ", ":=", " ", RowBox[{"D", "[", RowBox[{ RowBox[{"phiOut", "[", RowBox[{"del", ",", "qq", ",", "rr"}], "]"}], ",", "rr"}], "]"}]}]], "Input", CellChangeTimes->{{3.871390634213738*^9, 3.8713907023929367`*^9}, 3.871390755455709*^9}, CellLabel->"In[9]:=",ExpressionUUID->"202b19b2-c163-4533-b035-9f2ed74e3f05"], Cell[BoxData[ RowBox[{ RowBox[{"\[Delta]", "[", RowBox[{"ee1_", ",", "ang_", ",", "r_", ",", "U0_"}], "]"}], ":=", RowBox[{"Simplify", "[", RowBox[{"ArcTan", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"kOut", "[", RowBox[{"ee1", ",", "U0"}], "]"}], " ", RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{"kIn", "[", "ee1", "]"}]}], "]"}], " ", RowBox[{"D", "[", RowBox[{ RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", RowBox[{"ee1", ",", "U0"}], "]"}], "r"}]}], "]"}], ",", "r"}], "]"}]}], " ", "-", " ", RowBox[{ RowBox[{"kIn", "[", "ee1", "]"}], RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{"kOut", "[", RowBox[{"ee1", ",", "U0"}], "]"}]}], "]"}], RowBox[{"D", "[", RowBox[{ RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kIn", "[", "ee1", "]"}], "r"}]}], "]"}], ",", "r"}], "]"}]}]}], ")"}], "/", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"kIn", "[", "ee1", "]"}], RowBox[{"D", "[", RowBox[{ RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kIn", "[", "ee1", "]"}], "r"}]}], "]"}], ",", "r"}], "]"}], RowBox[{"SphericalBesselY", "[", RowBox[{"ang", ",", RowBox[{"kOut", "[", RowBox[{"ee1", ",", "U0"}], "]"}]}], "]"}]}], " ", "-", " ", RowBox[{ RowBox[{"kOut", "[", RowBox[{"ee1", ",", "U0"}], "]"}], RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{"kIn", "[", "ee1", "]"}]}], "]"}], RowBox[{"D", "[", RowBox[{ RowBox[{"SphericalBesselY", "[", RowBox[{"ang", ",", RowBox[{ RowBox[{"kOut", "[", RowBox[{"ee1", ",", "U0"}], "]"}], "r"}]}], "]"}], ",", "r"}], "]"}]}]}], ")"}]}], "]"}], "]"}]}]], "Input", CellChangeTimes->{{3.871450900409086*^9, 3.8714509365057163`*^9}, { 3.871450975871894*^9, 3.871451096522832*^9}, {3.871451136020933*^9, 3.8714512127937717`*^9}, {3.871451245370673*^9, 3.8714512605306396`*^9}, { 3.871451331487361*^9, 3.871451471573222*^9}, {3.871451856560986*^9, 3.871451856848853*^9}, {3.871452458723736*^9, 3.871452467066908*^9}, { 3.871701839980596*^9, 3.871701876086458*^9}}, CellLabel->"In[10]:=",ExpressionUUID->"deafd385-1bba-4fbd-a828-26c4620014d9"], Cell[BoxData[ RowBox[{ RowBox[{"myDelta", "[", RowBox[{"ee1_", ",", "ang_", ",", "U0_"}], "]"}], ":=", " ", RowBox[{"Simplify", "[", RowBox[{ RowBox[{"\[Delta]", "[", RowBox[{"ee1", ",", "ang", ",", "r", ",", "U0"}], "]"}], "/.", RowBox[{"r", "->", "3"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.871451533305705*^9, 3.871451549634141*^9}, { 3.871451599482168*^9, 3.8714517088636293`*^9}, {3.8714518638836117`*^9, 3.871451872050351*^9}, {3.871451961668766*^9, 3.8714519621215076`*^9}, { 3.871452475315978*^9, 3.871452479077834*^9}}, CellLabel->"In[11]:=",ExpressionUUID->"0763f856-74fa-4434-add0-802fb806c85a"], Cell[BoxData[ RowBox[{"Clear", "[", "ee1", "]"}]], "Input", CellChangeTimes->{{3.871880513537414*^9, 3.871880517475555*^9}}, CellLabel->"In[37]:=",ExpressionUUID->"cc58d23c-b800-4f2b-9308-845753e49fa3"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"ee1", "*", RowBox[{"SphericalBesselY", "[", RowBox[{"2", ",", "ee1"}], "]"}]}], ",", RowBox[{"Cos", "[", "ee1", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"ee1", ",", "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}}, CellLabel->"In[75]:=",ExpressionUUID->"cca3cfa1-38f2-4128-846a-a36b6dbbc0e9"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], LineBox[CompressedData[" 1:eJwUl3c81d8bwCVEVGRH9s7e+zxXEkKlsrKSJHuVijLqW6gkSZFoIJWKQlIc KSMhOzt73ns/l6wQv/v7676e1znPOc/5nOfzue+3uEeg7SlGBgaGGGYGhv// FugcS1m0pyFH9V31q0PslWEeZWePfqMhtw6yf13V1krvzd7f/Vhn0TJD8JSZ 0NZK52ze3f9ZzaKIat6Rogi2StPxoG/F7bPIYiilJcKWtVL3uohAk8AcGr6t 1bpcu6VSUa7Bd9x5DtmaD0+82rulkttHlpt/bA45xRycsLJiqWRh7/BSkf+D zj/Y5ZraxVy58iq2bL//HzTK58HccIa5cpjSf+L8wh9UvEVoeiaNqbIz8UZx kt48ui1QzOmoy1RZr6LH9uLSPPLofHLrQ8/mynfBKQXdzAuohzjpEa6wuTJ3 pwnTnMUCemCtyHP+F2Nl+nvCfmviApLomnXIu85YGbNguaHPt4hcUMjJedqm yrDUZdsjToto6vIWn28vNlV66+Tm+mYuomhtFzXFU5sqD13YZJMhs4RK/32d Jo0wVIr9+5DxT3sZjbUxa5TNbWCezFM03ohldKXJQc37+gZmRdymyngZiT7f mEsW3cBEdMCM6/6/yPmN3eEPjuu4gklav9J+BYXyPhvim13D73Jab3U9XEHb Qj9tnH20hnPNoodov1eQT+Mbew2rNZwY1xsn7r2KPmtLXbQvWMUuHMm/Ys+v oTv1I4XBSSv40Gu05+HnNcRB6/sxarWCTW0ol98z/EOO0b9ezG5dwYpJ5jKj cf/QsrnTifgbf/Ea90bYvrR1VHaUfbgwYxk3btNmY3JhgO/xlEXZ2UXcemDn g6ZIBvD+rC//omoRd8VTZdIyGEDs+dm3FSmLeJT5ualyHwNETETZXtVfxGv/ +KMdjm+CvsluxbQbC1iB+ncx35ERuI7sH/tgNI/jmspHj9kxgca4LcuWT7M4 kSM9VOwcE6QEhljWJM/iFMtzjDP3mECV8uVegM8szqpRFovuYAKFGy+2BQrO 4pKKrOMvjzKD78ki7omzNDz2JqZ13ZYFXKhJtOvWVGxye1/l84OssK8naL20 bBJHWxa9aA1gBdPyM4Vb3CZxBbPk3X+3WOH2BQhsZZzE+pEMXkcaWGEzs8nb HvMJrHHmE/uGORs8vKyy433TGJbaq2ZvZ7IViB2Q8e3LMGZZEqYyaXHAmT/F Jk5pXfiUyso2tW2cMOEpd3U1Ow9Z9V7PERDhhBa79A854gVI8zqvEYMKJ4ze bGMQoL1HTL9V/X4e4oS4qt8X9iR8Qk8TT9f7p3BCu2WdIa99NfpNab/2UogL xIORhatkK6pJ8xBJVuSCJrPAHZt2tKE3+2jFF4y4IDvMRb/ibxu6/Ih9zNyN C6wyBFbtGzqQsLXJ3omnXDDplnvno2c3csx/uyGpsBO+182Jdu0ZROBgdJ/d YCdY4OXu/PuDSI7ph/KfAzvhXI5L+xvGIbR8fNylyn8njCYu1kt0DqFU9t2f 3Qt3gvOOlmfSISOozSfh/CNdbkiSZBe+emEclfEJcP5nwQ2VEk5XgzvG0dOq nOd+Ttww0KXopKo6gUJ2fek0iOQGO1Od5xzDE4izfkmzB3ODzZ+21ZfaU8ha /tQs334e4CocucqSNYNWbpz91G/HA6GMEcl/BmdQHvW//7K9eMBj+c29u+Jk xFSUK6h+jQeoZWtbBjLJqMx4kmRdzQPG2wQy9eMpyPvJMjtPBw+8qL/517mS gniZ2Dp7RnlgnuXlGN8iBQV9l/fxZuKFscqFcVMXKpI56pt8ZS8vmOVtC9fa RaD2kghnyyO8cIaHswXvI1CM4E0ZrpO8QBr2PFkfSKC+gfyyzFhecNSzaDuG CZRAKr96KpkX/Lvm37aMEkg3u9FG8SkvvJH9MXSCiYbunqEOf/zCC0v7XN4w yNAQNKznR7fwgpeSu2G2Fg1RlXeE7x/iBTaV5MjLpjSUcUeUtH2WF7aobvZP tKUhy3kV9g4GPvA+9p63zY2Glu2g4yEnH4zFv4g74EdDOR8PZXmI8YG9D9vw YjgNMUQFa9AQH/j5PpsZvklDb4Zi/pUc5IP7XMFbJFJp6Lhpcu0lNz5o3Fgc TMqkIdbnT++YBvLB9p9Cdcq5NFTC9v44exQf/Alx5F/NpyFPv6/SrYl8YNTU pLHwjoa4frYRDzL54N6zQ7eES2moQm30o9sbPpAdupAZ9JmG/FLmr8hU8AGT 2ScyDdPQriUmG0ojH6i7+7A+qqKhWkdegaJ+Pjg1/PNmGP1/Juyz9PBFCh/s PaQlFl5NQxKi2vmkf/TzMMyFZtPj5hizc6zb+OFpSLjpGn3+5VE7+CnMD4sr zo6Xv9KQ4v7TW1MV+cGkwuc/hS801P0ivN3ZkB/aNmXnMlTQ0DWOuExJK37Y +HEol6GMhjQDH3hPH+cHzQ6WCwrFNDTckqde6MsPtLpCkctvaShJ8+NaeAQ/ tHakP13NoyHj+99rjG/ww56bgULPntDQzN/uJOaH/HBxq/mrsDQaeuA87dTw kh/Mw/OjgpJoyAyvSN0t44f+2rSW1Gs0NC/OTjjW88Pxtv/GJiJo6MlVoY9i PfzwsdCD3TOIhmwm9lyZmOKHEK8nmeyeNLRmYWj95i8/WHZqsPy2o6GX+Vb8 Z9kEgI81sWjAnIbsd7gMGQgKgERBriy7Pg29a7909ruuAJSOXrhFFqShvP88 PYYtBODokfS3MltoKFP7wMFVJwFwej1o+Wuc3q8PBOSVLglAXF9RskYygaIt NnjNEgVgT+PfFbZTBDq3MsboliUAdj+qJda1CHTS+X1f0hcBmI48I2nRSkVO 29K/v2gVAHWX2s05j6joUEV0SdWIAAzcj3snd5qKDMVskuaZBUE679Hgu3kK 4hmd3OtgKQj+PmcY5VfIaOu9n6rBxwVBwuTpusAHMmIwK9md4CcIomszBZYh ZER+fmXpU6Ig3Evd5BM7MoOqfUVeibYJQm6ACGNR4TQ69+fIzonju2DvhtAk 06ZJ5Jetv7HhtwteVZYL82RPII9j4mSBy7uAjzGr7s2+CWTzgVpt+XgX5Nsc KMi4Oo5kI+IvvBndBUVX1PxWZ0dRFyMePOsvBMoCehqCSUPIYKfCW6YoYVC9 nBMxwtWOmjY5fW+8LQyXfRuTXQTakPts/EjqY2HgfBC7+mZ3K7raPMUvXyUM 3AwWm3mkm1FT4otoa+bd8Hdr3QeJw3XInV3eNvXGbhAoTOl+jArQVSa5BdkH IhB+ud6Tx6MO883b75jNEwEnt1/5pR71OG/kunzZRxFY4gqr/nSiATdWTbhY 9YpA8+mPb1WUmjFfzPOaIBFReH8xiHpEsB2/+Cfz4GO2KJx0bRT5V9iLDSl2 72KLRaF/nEijPerDTX3XGg7UiEKOtcI+4bh+PPdpnGFgQhRSJjSVhux+YxGj Ns0YXjHQYnwrtS9gCJ9eTX6U4yAGlxXLRhgrRnGKDfnrBXcxeDf7cs97oTFc +WTftLW3GIRsXPhreH4MC5gvay+Gi8GX0B3pdUrjuC7Fpdnsvhjs3hyTqJEw gecnShZ3ZYmBsfEOQ8mBCSxmwLmbyBWD+qRDq99UJ/H5oaoz90vEQDYzVIej dRLLK8ttnuwQg10HDzopMk1ju5gY+c/9YsB8SbxZ2Xoax7b3HEwaE4NbMQ/N K1Omcc/FWxm6C2LgbswpEy06gxNq57TiecTh+TYm4y2SZFyyy8rZRVgchKZy ZnjcyXjYPydWTUocPq+RLtx9SMb6PA4/uzXo8/Xy3ndso+AZ93JvhSPi8EX9 NZXnNwULFPHdXncSh4b7CwcP7qBi0y1Bxa0e4jA0ydEyZETFGa8lGCNCxGGY WT2WKZWK6xgi5Q5eFActltMptzEVzx/psJGMFQfste2G9wQVW61cf/jjjjjs j3OhrqgR+Lz10JesNHE4P2+7+vYogbMf60+GPhGH+xfTlV6eJXDzn7vbzV+I Q20Z7c5ECoHXzCiawoXicIt6w9rrHYHl0s2O00rp85sNMqWaCHyUkhXzrVIc 1MTjesQmCfz6rm2TX7M4vDVWOufFTsM946/moUsceNK/LnzmpWEWfWYh3kFx UAyaTFERpWH1W66kqQlxUP8XXl4uS8Ougx9OlxPiEEFaGvNSoeEEDa7EO0vi cMUq846CNg2XXPMpOrUhDgtNJw6xGtLwcPfXHr0tEsD8Z7ViA2h4u9LuTdt3 SIDrxflrnPtoWD/6nOwwnwRsFs9z1TenYa+2n9YlIhKQaXqQ7ZIlDSfLyIcl yEhA/M/N9l0HaLjiQmy6q7IEaJ+ukbKyouHpht5KdW0J8OqPdf7/OJ+Y1gSL sQT8HOFeiKTnm4QmbuvdJwE/NpnN6dHXD6yZ0HhrLQHvfnR77qDvXwn5vop2 EjDi+JBIp9fH+Sno2QtXCWAXvXyXz4CG3bW0emVOS4AZZ3xarCYNF7z9uzM7 UAL6o187/1akYQaFCkvx8xLw7PE3CyUpGj6cHRubGS0Be77e+O23i4afiuwv E4qXgPrArDeZO2h47gH73IM7EpCkf9bx62Z6fdzN8nzpEnC0IU/uA4XAd2+l nLj7lJ6fmW7Z3ELg0S2OaZyvJKAN3Ora3hNYM3Z3y633EsCWsx729S6Br64N sbJ/loCgyWazJ8EE7jiXC3HfJGDu0kn7QGsCn/NVKYjtkABJRQfLsXUqrhn7 M7HRLwG1txu2J7dTMb97qeilcQmIdPndoZtHxaVHSbfDlyTgzsstr6MsqJj1 J3Pt/IYE0EQuvpfmp2IHi/r1YFZJuOA/k9cyTMF/jY4E+AlKgrqV4FfzMAq2 LOXPnRKXBLe94+Rd+hScrt7X76UgCa8qvHZsWqe/X7KnrE8YSELBJuVigWgy juQMV7RzkYSsiIe/J/1ncEOCgWfbKUlIyf1OapSawbuZGTIOBUiC+a/PPye6 p3HF3zj2A1GSsKzcOdBqPI0ZRtKn0RNJKJPeeX7H/CS+UlyRJz8mCRmX1XuX OMdxu8qVwVyKJGy7O7zt62s6v7/cLyC1SK9HOt9S1GIMf8tsvi6yRQqsxh9b 5kSMYpa4YS9ueSnw+Xw8Pqd5GCc4sUj/85OCu+GaI6diBrCxKsfiVJgU/Gfi wRv/rB/PMu+s7YyUgimtiLSFr33YoXD3mYKbUpDmX8U7sNGDpVm1Xp/Ml4JY UZsOp1O/cGXxSa36GSkgWv+kRYz9xIucX/bd95GGey5h0/flL+OX4zV8V0Ok 4c9BZpFKjWjk8rlhIuiiNAQmO11/XX4ffTvdFW+ZIA15zxm+7Y5+he5UEI3/ XkiD08q8GPlYOVL0E7HznJKG60obP7I5m9DJ2ggvNW8ZaH6nkrf9ZT/yNJSx WQyUAZONmY+2VwaQV2Gz1qdwGZAfOX5o0Ok38n4ozbzvugxQGR7jI7GDKCDw 5zOHXBlQbfKp/yE2jC7ySw5FjcqA8AbtX8ieMRR5s7HOlCwD/GFvq7Ovj6FL m84XsM3LQOP13VceD4+h6JmGqLubZaEvodtmKGUcXcPnRJ5LyMJuol1wbWoC JZ+uP97kLgtkkz6lUNtplNIXtveutywUMvMlbUqbRvcOi+5xCJIF2v33ipwD 0+iBQdjKUJQshGAen8yTMyhzh0jaQqYs3A1U3snnTEaPr9ZFl+XKwvKOpz8N U8noyd8Q76g3srBLRKiwpomMskdqddgqZEHG/zjTkj4FvfwQ3CncLwsX33Ht OLtBQfmKwhVDo7KQ5PUtwE2Ril4/qcnJJcuC1kD/s3v2VFRwQ+is6posWPX7 vuvNo6J3DDXOC5vlwHZzU+94ExW9PxtkWsYuB4oBZRc1/1BRiVs1t6mQHPBn qTYkahOotD1wlVVSDvqDzty/f4xAHy12jTQqyIH0f7VsvSEEKqv4Vp+sLgdN zx0C7RMJ9Fkj8J29vhxwxHYpsecRqDxPMF3YRA6cV79/m6f7RsXubzFDFnLQ KXm7cWcngSqTA87kHpaDlZyo1ZPTBPqyRfCwr6Mc9FT8E5pYI9D4M2XL7hNy YLOTknqezoMcYLp3v48cKBza6+63g4bU+xwNi0PkwEg9ysmGj4YczgdqSUbI QavdcVYRYTpv8/ynfOeKHKRYd6/3iNFQdkG67MYNOai2sBy7KkVD9VYFYv4p 9PrT7M4KydIQMVkt2JshB44jmyMy5WiI57/enRY5cnBBsqx9mzwN6YvPsn94 LQfeIftDz9DH3ctZmKVL5MAjYdixkO5H1xyF15Mr5MCVSzFzTJKG8hfUlhhq 5cAzR9mbhb5/6539tICfcuD0ymWOW4juQ0ouU32/5EBjMDl+Oy8N7a4PGbYc lIM7+VtvLW6jIROvuN7SSTmY13cLaGCmIW/GzHaZWTlQesJ0UvwvgRIz3zem /JWDslbf7ut0fyvS/17DyCgPu5S33GlsJFBP5wAO2ioPPeanNv4UEYghdL50 YKc87Pt7oWItjUAHXom+KpOUBxmHlQOfXQgUtF8rW05RHhibXTaHGxIodcTy UaqmPHwblO8XEiTQsNC52yH75EEhseOoUgMVsZbeiBu0loeUowormU+pSPno kxgbO3m4uS2mmSmcii7cbAhVOC0Pf8zsn5UKUlGm3LDfg0B56OUtq+SYpKBv 35ZOsZyXB5JbzKETRRTE+U/CYThOHlwejl0V3E9Bz/0vGKa/lIftnkwDSsfI qIHtthbre3kIcm3SJXOT0VxOtvK5T/JQP/GF/L15BhkP/BSzbZCH1WoVswXT GdRhI8O8lSoPt8sZN27zT6OVaYP18EV50Kn4fKmhdgqJXT+8NLYuD0P7Qo8c PDeF/HDk1JcdCpD84mOtUdMk2qza1nhBTQE+qponOvtMIDWu6NSpMAUwE5pe nHMYRWWsv+RqIxXA1j/4odfSCDJhUP6UfVUBZsnUTQUpI+go0fvbLUUB/Fzv 8Pf+GEbnGnXkO98rgO5koqqO0hD6HE98qppTAJ7aUpmvsb3InNFt6GHQHmia I+WfD/uOWv4Wh144vwccOs4KcyfUIqdZDhb76D3g2jWywzqzGvkOlinsTNoD ZwJ1bu78+gUlVvCFxb3dAy1ZiSd2MRah9otNLGepe+CYhrSgrFsudv9jpGjj pwjqpxrj9sq14m07GZrbwxQhlI9JyGNPGy5TrQo9fkkREq6Ss5WV2jFPgNkn 70RFcI39cC9BsRPXTdpYXilQBAu3cgkPgR6sOuDmXTqvCA+7m13r6gdx/5o4 B/pHX989qaPMaAgnCI2+rWZWAiWFi9TIt0N41MF7qZVPCYKz03IO3R7GD9qC rlF0lcBE94WZGxrFDN9jsiUuKYE2/wmPt04T+PXEXvMX/ymBhr6Bt8iHCezE wkJWSVSCmMqfR6e5JnHR3gQNoywl8HI42BJVNYm9K5Kr7L8owbOFI87L26cx b/9Rr4HvSjCpq96Z7TKNq1b5tp5qVYIr595LRr2cxsJ6Dw+HjCjRfa+KIc94 Bje/fzZ4k1kZfgRrnzA6RMaXWk9d5d6uDKcHtHTrb5OxwqysXDqfMtjfEml2 aSTjq8r5gc9llcEyQYMUZ0LBatYB3MqqypBOfj/Ld5GCB3xVPxTpKkNzuuPO jLcUrPuiaP2LhTJcHnPou8hDxWO1556a2ypDw72cyMa9VJw8rmv200kZ7ldd imANpmKyZPmtPl9lUGFI499TTcVpJlFqJ8OUIeCvfxsHmYrNTpA6piKVoa/P Zc8PTgI/yawWXrqlDCv3hG60HSFwhrPir2OpyrBpKUo+ic5bD3bdvVOUqQxm E7Gamrfo/Nb19wD3c2VoFfzQUJ5L4MRUd5aQt8pwJ+GW9p4KAscfra1s/qAM /tlhPRfb6Py2UzlCpVIZLBgWTF+NEziqOUUrsU4Zqsp+yHxaIvDFxFWC3KwM 7ioxL4/SefGslcfLA93KEKsW61nGRqN/i757vhxShlxhx0Pb6XzpW6ciyjat DDmLujsOcdN5+lpq9+k5ZTj4IvNoFB8NnzD9d7dmRRlkB+3GHwrQsDOjp430 ZhU4lx+bkSNIw/aV9axX2VUgkEg/kUGPbS+rfR3mVoHJ+BD1aPp8a8MHl0jC KhB1WEfkMH0985V1ncdSKqDwI9hsB32/vaWn5tYVVYD6cvPvsu00bHyuId9F SwU6BaSVj9Lr1dPUOP3ZSAVOfnK/2ctIw5pzaeJCZiqwvH3396eLBFYtYOi7 YPP/etJP+40ReE/A6dQuOxUYilncydtKYBnFpkM6bioQf91xe+ZnAktMa7Kn nlYBtoP7vrDmEHh33sPq+UB6vtelD3Y3CCzgxRh95LwKeFpRH8cHEphb6oz+ u2gVcFu8c/jZYQJvH/45zxmvAqkzh7/k0P2LyfXRmaY0FbjsXRLkP0PFG0JM UkpPVaCN5bWtDr1fVrp9Bm68VAHxaH7dPxlUTDume8TikwpMlTt3HjCj4hnu rG15X1VA7eueA1Q6L4+3MNexNKhAZOqSfuIEBfdZtxl+61OBLwXTUW3RFPyL XX9JYkwF/BfeZkdZUnDr98eFMRR6PG4wor2Tguv2BcigdRWoft2KO+h+2pPJ xNq/QxWWFLjf7Xswg7v+6Zzi4FGFNNFtoWW2M7jD2bfKQEAVDvt3Vx9np79/ u1oj08VUIaN51lAnfBrXpGbN2qupQs68A7Vfbwq/T9TvbbVVhcv85KtvA8ex x8PtzGV2qoCPRUXM8o7jnXnDyk+cVOFdrt/d6bIxHPQlITbQQxXOMAw68m8a w4rzPfIcIarQsPSi5M/lEZztGHF+3x1V+CWrJ128bxCnSH3mLf2pCuLdxcsT R1vxXrUklNWmCvN2Pyf3eLXgOSPPM9d+qdKf11k/v3PN+JA9R/nR36pw52q1 kLZcI+ZIcPacpdLzRdkKg29U46vE2juF7WqQxlAY4B6ah8PKjA49slIDif27 3rbX16Fip1rG7kNqUHlwxmm6px4trhwq5jmmBvr2JX5yUw3ogoHnrpsuaiDb FVBcE9WMLn9OGL0YoAY1qoU6rHHt6HrFr/MOSWpg6+X+IuNQH6pzPbEnJUUN DLsX0p6Q+tHWjen+nw/UIK7N/my26gC6idZN9j9Rg3qlZGU1pkGUVCm1Tfud GsirWfFebhpC6VXBT7jb1aC598SjGzJjqNdj9cjBLjXgCgo8dPDGGBLe/B/L jT41eL48rfeAOoYy9z7wZRxTg8HkbecyC8bRs28VWrMLaqBR3NfzVXwSjXqa TyquqIH17Ezn0oVJJMPcmu69rgaeX7ycLzVPorx9Yxu/WdRBlMH3wKnzUyi/ hr2+iV8d7nScP8T2fhpRvO5FbhVWh6n/Jjzk/00j5S2iKmZi6pADt18H7JtB hfvVU8rl1CG1zkLkGP3/f27ik9lfRXU49u9gAXknGWnG7furqaYOZ4PEjqQe IaOSOgfXfD11IFFCeLf/JKMl72HOSSN1eJkw9raNjYJ02fy+Spqowx7Xh4fT TSiozCJK7qGlOuz/5yMm9IaCVqdYeztt1KHgI3WwcZCCDBOSb+08og4Ootub Q7ioCNfnzMUfV4cgxmPk//zovC3QHHzJTR28SpeN96RQUbbXCi3opDrclA99 vfqRihIYDxL2vurw6J1IHw8DgSIPXQg4EKgONllsHo5iBArMfEYxDlWHPImY 25XGBDqqvzwjHaEOVtxMucRZAu2Pk/AVjFKHGjMnvSI6f+t3Wk1zXFGHht1b vqfkEEhRKvwMw3V18Pl+bu52GYFEQ55M/klQB0q9bFA2nQ93Vv44PZGoDvzi WLBlgEBM2xfHe5LVgalk1ygPlUBLx8W8mlLV4RKHx1DAKoGmX1iOfUlXh7p7 CWKBm2mobynMszhTHapGOOTUWGno576skbyn6vDtyEnDf+w0VHX3u0dGrjqE Pzsn3radhoqG/gzdfqkOQ120F+84aei5isiJK2/UgWYNHx5y0VD6JfPBc+/o /dCdppdIj2/+CHHzKVEHXu4VlQT6/CjBRwMuZerA/FE67zZ9vZDTtS6HK9SB 2POiIpO+n2fxbJ9plTokcvzK/ED3BfvNws66NeogO18d28NIQ5aHzXr31KtD XEq6144VAhlmBTmJNqmDUCAjZxSZQCqU9O6drerQ6Hu8iamfQBIG1Q4snfT7 iHxy48kPAvHEE7/+dqtDhKzsQbtSArH8ErSn9NOfl8s1I6lnBPorZdo5OETv p2u3H3DcJBA5JOBY+5g6VP7SxpyhBBqofNBeO6UOnH1RSuoOBGrZ/vXIJ4o6 WO8/HRliQKBvzpTWN7PqkMby40SbMIFeLJNa7v1Vh/oUC/v1birKMPM7FP9P HZzfpno0FFNRYkrqz8hNGvD2c9xK1W0qClOdaTzJpgH+lK0b6sZUZOydUq8m qAFLS2pfPf+jILWSCgvp3RoQQia3f7alICmmqToBcQ14Evsn21aEgtgeG9Vu yGmAoG65uGkBGbX/Gv/aqKsBN23ZWzLwDKqR5tr7xVADAvMWHCBqBn0MNagq Ag24F3co2cjo/36bVPnQXAPKOwPWjxZNozP79crPOGjAnwnDUL/bU4gqJ1hd 6KwBoSEzJk0GUyhk69+Gv+4aoJdv9cd7fBJFNpb2xZ/RgPrKMcET2pMo6Yju 2ouLGrBwofwwR9U43U91DKYz6OfbOLChnDiCDEj8e9WfaEDqk4hbauIjqFJi yfJijgZ8PGpB6Xk3jL6PlThtfaMBclYkK1LrEOrz1b6ogDVA55V1gwHjIGI8 r/XRZ0gDuCVDFQ87d6Hrjrxf3o1pwKzB9JFu11+Iw2ChbmVKA169jkn75NaJ eNeLuhLmNKDuSei1Tud2JHdVc/nlZk249VtT2NOsGR1M0tCZkdaE93o2XsEZ GGXkqRX7+mjCmt3p/6Z0qnBd98m6rABNYHhc3Dxj8Q3Pb03tbQvRBMXG5fqb TjX4gP/KJsMITdB4ycsiFF6PV9S+2nDc1AQrNVONSqsW7Pjp6GT+a004PuQv Yqveja+Sr60OFmqCzIOM9xuyPbhg98ftvCWacGFVIGtMqBezRu/WulShCWmX gxQE1vtwqel4jPVPTeApj02RPTaI+ZrChag0TThxPrNmV/0INtl4oSyxoAm8 1h/zFtVHcYBqH8nuryZU7nkQF5I+imuSwbtikxbEWXtKKZ8aw2ft2YoTd2pB hE5xwMLkOH4cZ1BXxacFWzcdMuIym8ANH/17F3dpQeX9fx73n0xgKeHWTW6S WrDnVnz39yOTuH0w3UZFUwsig/57L5o9hRl2Np44qasF6WcyP4/9mcKKezfC 7htqAV3t7SdI0/hKzsmHG6Za8Ixjji+uaxq/6bz3RsNCC3ge8y0Ii8/gni11 X05ba8Hj9axfXadnsLqP4uTPY1qw+jQs4h0xg10fuq5udtKC1lnBpRpVMk5o SNqu66oFyaMXyUQgGQ8rL2g+9tIC+5/fZQImyfjOn/KYoHAtcN1LXHz1hYID WpNOOEdogYXXF/cigoKtCk+SzKO04MHfI9RFISpmCWTbJHZdC7pf8aSIBFLx qHXfIPsNLRDmq/64fo+Kvyi+rVxK1IJp/2tPt3+i4sjpo9E/U7Xg5mAXc/EG FTt+l3X/lK4F5kFzZ/aLElg7bwU9z9QCxyI/z01GBOa53ih696kWUP2aVYYc CDx76vHG5VwtEHD6IjEWQuAm09DfPi+1gL+fv4CdzpP5kmbY7o0WmFGWvY48 ofM8o2CWyTst8HYjz5UVE9hraOaycokW2F6eFSLVEdi0ssJ1V5kWrM3dqRnt IrB41h1jlgotcFid+5M9QeD1S54ic1+0oIs6+iV6nsB9zjrr/dVacHTHrE/4 BoE/Gmwd+P5dC4Zb1SVNmWg4dVd/eXGjFrBoqXp2b6HhsL9vHz1pofdP+gxE bKXhw12xl251aIH65YNJ8hw0rPzhmMuFbi1ouVGqM0qPOVLljE71a4HW6SWF V/R4KmxV+PCQFuTcP+x3mZ2Ga440rRmOaUHK/RgOVzqvZ6s/6ZOb0oKHrCUK liw0HMMV9pmHogU17EnzJnR+d6WZZTDM0s8fSbK6s0Jgw5+CkeR5LYgu+sH9 gUpgwTfk413LWvBtJWF2aZDAizexwbc1LfgpvbPoaAuB232ThQoYtGGy9o1Z EyZwoeWp1YdM2rA9/XjhqXy6P8nr9l5n1YYq9UIB4fsE9mNl/xTKoQ0v2TrK 56LoPlBTcPEAjzbspvgeZbGi83vOFScdAW0wL9azM1Mh8NAVO31JYW3Y5+lS kk/3uQzS2t8VSW3Y7+Y4+aeRii+I/ewel9WGN0Lhr7peULHdxpOPrXu0YS1Y /+3MFSrmKt9/4aWGNkTwHrmZo07F1Ie7HFN1tOHVnLTm4S1U3HCRohtroA32 moc/avZQ8DXdu8uOe7XBcKlU8g3dV9feD4SzHdEGS1euhk+5ZNydXGi/YKcN inhq7pw/GZcEX9UZctKGQe5xvVh1Mg5WUVgq9dCGZRV+vfsfZvD4y7PnvEO0 IW3XxSWJN9PYbvf6QN45beDrUNGrPTGNq29f2z91URvOKcfvT+Gextlh9wV8 rmhDP+u/oorgKexh/LHMN0UboDVn/4LAJB5oWVsPKNGGeomfsrYCY9jG9L/T b8u0gXp3UOtY4SguL9nWTFRogx5hcXfcfBRnPBR5ElSrDV+3yZ9rCR3BTqdg b0iXNgy88h5K+ziEO5avXD+7og2O552anvL3YVNfDlrxujbcj22ZeC3Ri4v6 UxwWGXXgo5YLT/ueHpxclSMfzq4DD7dtel2i24UP3az9cV5YB/RfnpmtMG7H DaLsnJHGOsBDe266nb8OfzNLfhAbqwOUtRtHYpzeozGvT40Xr+nAO+F953yt PiCW66OMoQk6EKjdd3ba8BMyr9X2P5msAx1H1r443PyCGvb3kkyf6oA9V1WV o9N31GYuNcNcpQPunBnYw7YdzXtbi61X68AxyuImbpMOOo+cO7b4XQccR471 hqt2IrvvdXSH0wGJCzsOS7N1oR4L/5TaIR0w2GG46XJeLxq2LDGK36QLCf+9 jjpnMYQ2+/4OiWHWhcpjaptz3w8hqRuseRfYdMFK5HrUF+Fh5PXDaacPly6c HWBtfzozjKYPbIxbiuvC385HfW4Ro4jdT054r7QusMTxZqO+UaR48/BhA3ld KDpRuKvHYAwFNDz7tEdNF/IW9Ltll8bQnJV5EgdJFwx//w2Oc5lA3P7B1Uz7 6HHmD4as9xNI81b6ypq5LkgUeo7tZZ1E5xrJnpRD9P0sOMSlXk+iFes7ek3u ujB93ibu/egUEgooC6jx1IVbwiyHCpWnkWHiyLMKb3p+6PNCvvBpdLlJa/vb IF34VHCokGXzDNp0sGf4drQuFDJlarNsIaO6imOSYVd1wbnmeugjEzJKUm45 6RCnC4Jf8lZuRpKR2Pa6UbEkXfB9neB9eoaMJi/tlWZO0QUtIrzpgBgFFVAq Tk3d1wX77faXIo5QEDQWjxdm6cKNzdINBUUUxGqkJpv6TBc07Is/FAxTUHN+ /umLz3XBIan5Cm07FbnffDZp8lYXNpkcD5P2oCK5NRF52fe68KiJVMIbT0U0 3/Qz7B904bLSDLfhGyqKPnBnuq1CF0T5Tl+R+ENF5p849pRW6cJNQ4n4gZ0E 4twT55tRowtL2W+S61QJ1JW+OT+6XhemWjf6B6wI9HhrFNmzSRdkCv2/iZ4m kPfFFUWLVl0oTm0si48ikOr0WX+lTno/vI0/LJRKoGXH2ddcPbrQVFei2faS QJXf/agL/bqwM0JOsaCcQHF6k8o9Q7pQVXpFqLCJQIdenAysGNMFptKDjB10 fhYQ/P326ZQuVBswr+2aIdBgnBPtGkUXjusJQ+wigfKWO1R9Z3WBj8LOxcxA Q0Heh4MPLtD7z6+OtZvuF7pdDYUaf3Xhl5Bo42cWGmIwN5/j/6cL3grragV0 36j78FV9jUEP7sufEXzPRkNJsih0kEkPEO1iaDU9drhf9v4bqx5EvPAynqDP F9uiPZ/HoQebOM9fE6D7weS5Qs1bnHrA3LnTy5GJhgrGFc8G8+hBql4h80t6 Peft8oqPCejBTMJXHd5lAkGN5KKesB6YX4rrWaT7Aqt2lraImB5kX2JP+/ub QM05u8IZpfTgzNIHTZEWAj3gTf0wLqsHVeEbCacqCeT+H9dy/R49kJ6zutf8 mkByCzd136rogc6JRW/3NALRPFkv3NXQA9Nvijp8VwgUbbrx97iBHlSs/d75 9xCBzIsu6gPSA8qS6zZ5Lfp9Sy1elNqrB4a1e/uu8tPvdzNllWypB/9Ztm3U dFKRd6i3YYuNHth2bd1d+J6KVEdGIott9YD6OD6rKZGKKqt6/l1y0gN1SZfb +YiK4tTtjD1c9SC3z/RRMC8VHXractnMQw/YO48eDp2ioMGYuo3tPvTnMazL pXOTghhIJZseX9CDa894AraXk5GT6UR91yU9SFd8m6IWTUZF+wVSuGL1oKvd OtiFREbeNhdlriTogVhTQ8Vg+QxqOW58wOuhHtBclkn8j6eRolsgT1aWHuSx KZQxHJ1G1zwe9/96Rl/PLVtfkGUa6Z9hDLLI14PwuzMUsucUenquJkWxXA/G fXQUy7dNorULSy6nvujBgvkZrs/074ndJTnZzGo9OPbO7ZiAwwTaejXh444m PeCWdj3OmDGOQu/YDMwN6EHMq/3KR7nGkGl+p+xHBn2gyPvfZCodQplvt8zO MunTfcXx+tb9Q2j5nW6ZAps+jF6+cOB3+yDK/5hulcGlDxYsj67L9/xGvLWu wVES+vD7wsh3cfE+ND40XrbPVB9mFW67Kti1ozj+JevW6/rAvu+fsmPpG5RS VzdSdUMfJM+csdcfyEVZF9IvvL+tD7vfbJUOZ85EJb1GOSn39cGtZOBC5U87 PJZ1dc3uuT4sT7H9st1ZgE3kdr7qrdEHqYG6S9ef1GKb7hFoqNcHWSF+O+/b 37FjQnHn5yZ9iLcW/IojfuAgsgNjZqc+9OcLsDof/ImzCrIc3cf1wWCpfjY+ sA2v6SqxjjEbwP53b3IyvvZg1un1Rx1sBvD7R5hZ6PNezP2wWaNmmwE0Kqeq Po7vwwr/Qt2e8xrAHefe2zXmA9jxS1nJGWkDqACh9NNdg7jEwvwU1dQAPP/2 vEHbR3HViuDqgLkBqH0wfN4QOIobX80k/bQyAF832WWR5lE8uu3254KjBnBS u/r62s0xzN3awR3qaQD5JqdH/y2O4yCnk1VLVwzA/bRFfPD1Kbw9a3rQMM4A ap6Qk7Z0T+H8keCNmJsGsOdq0/Z6uWk84RdtyHHPAM5+0N4or5rGVwu3HD+c ZgD9/umJoxwzWGIx8ULqIwM4vaO8SfwY3Q+iHpWI5RrArTJvnobfM3jtq1TH qZcG4LRf/oCKBBmns+b/efnGAJQ/f793z4OMO+6UqWp9MIBXBL+tYz8ZW2X/ emlRZwAHC/50mpVR8PSk6/fEBgOY3PVP4gCZguOUxifamg3g8uNgQXVhKv5a Mi/l2m0AAs8jMtLPUrH7asTeZ/0G8F830c6bRcXraLPH5JABrKZv7DhdQ8X6 37myQqYNQNDuY3L0dgJ3bUsr/0A1gK2VNngvnR/P2Yr1rc0ZwJZb70tbrem+ cP/5CmnJAMJdCo/u8aHzaq+y4PVV+v218N05cJXANmIlOg0bBvB1T99dtQwC kz2N7LiYDOGbwL5XvYUETnjxLcyO1RDcn21Ym1cTWI564O5DDkP4aAFC5zoJ XKPeVjjIaQhB2r09J8cI7Bnu1CzNawif0p0ucc4RmPHzENVH0BBSZHcKR6wR OIvhzLaC3YYQ13o/8jCdxw330fYsiBuC3JFRvJeZhnviwy31ZQzhWv6cOA/d F843rXtHKdDHdU1jqugxH/e169+UDSGDp6fZhh4X2W/LZdMwBEJTW+AjPd82 I+WbjY4hzK05hW7aTMO0QaGRuwaG0NSeLH1oncC3pJ9t6kaG4Jq6es6J7i8K PgpiIqb0823qvCUxSeC6N4XGJ80NIerJ5L4X3XQ/+qPrkmdlCELxP54RdD9i 0q2MoBwyhPk9ne2LdH96Grk/Xf2YIag7bFWpfExg+NJUGu5oCDSbNVXreAIP MNv9+uxiCGbrH2KyAgkcYdm/sMmDvr/rM1rpEQIL3Pbk2e9lCD1/XM4+1CJw SduM+k0fQyi68EjFgpfAc84rgXyhhsAYznZjRxMVJz2JSTwebggT31+qKz2n YuVx1tePIwyBYucuLHaZin0C+acVrhrC6rOm0DvSVMxalMkaFGcIERbV4nyL FJy7LC1bfNMQntn23on8RsFDMZqe6J4hbJl2GVxzomAZvu2JQWmGcDmXZ6uc FAX7vJz48OSRITQMmPTbzZDxfGs6O1OuIWDbmF0/Q8mYVWrT+7oSQ+j4dOlx pv8Mti7t6ftbZgjmcXwtTrIzONmqiGUPNoStXjE2Rr+nsdDZ0063ag0h2HDT fJzFNFauadxk22UI4scoag2sUzjU6fmeK32GcNH5huKBoklcSo0+VjRoCCIP W2SFXCcxiV/zBd+UIawYuJRW50/go97ph3r/GkLr+o2XNO1xfHHr6SxPISO4 zmwSYMs0gnEmfL8nagTd5armA/eHMZPGrj81kkbwddm9WFphGN863mgmr2gE F14FmzEfGMKP8zWoFEMjeB384sGnfwO41obBKNzVCF4EHu5o9v2Fee6m9cQ/ MYIvP4+cchz+jLd2cLeE5BhBkjS75GOGj5iBP7H2+AsjiPhdCr67izElPbZI qdAIHrG9u72Q+xLXPPVNbKk0gv0eFz+aQCw6/87IRHDQCLYEiH8aKqpEAfMf dBlHjeDhVUOX8mdVyFNbXWVmwgi4Ek/9uXTnGzpcJiNcThiB/YbkmO6ZOqRQ tWPRfcMIXB/Rjmhsbkb9LUMv8kSMAXO68RgH/kLt3M6P70gYg1WG/QlO+y5U f6wz9aKMMZwI+b0l2KgblXTXX7FSNgbL5R/1ucy9KGnovQvNyBhsepCib+wA Mpn9j0vXxRh4o+ND55KGka4GA6v4CWNgAOvfWovDSPnsxXW2U8YQdGvY0tFp BAn9DZjp9TMGwRgpfznRUTTP4FAdFWkMJylhrfvSx1Aup8KF2ofG4GqlmfHy 8CRSHndcZnpsDGORG1nsLybRh0/x4SbZxuBAqAoVrU+iOq+ps+X5xlClTHn5 NXsKTX/OC3lfbgwSkocjjXqnUUhy1yztizFwmDm+15OaQaunWYOVa4zBpYyJ 9bDvDOLg9g580WQMYXY/D5X/mUFKZ2T9sn4bg6/Yzh42ChmVGNvP9I0YwxN/ 51vHZSjImOe6z65JY1AOYTyX7UJBNnjc+x7NGFQZw9M4aiioM4VvsnXeGAyN eeOllijIzcfsNOdfY9AxVxOQlqGiIN7cUzc2ITDmfMffdomKlqc7RuuYEayW 0Lk/l4piKpk9WbYi0Omp4FtvoKKtqVoje7cjkDNpDz0+S0XJvqc8YnYieBSE 5m9zE2gX6d5QBR+CLOMJjTQNAj3jq3Zf24XgdV3wQthhAimS53/riSLozvWT EPcnUNEXKbdwSQQz/iE/Hl4jkOH9owNFsggmz1nLjTwiULXfVZe5PQiOT/M/ WHhHIBuToj4VVQRG2xyftFQTqJN/9Li/JoL4RtG5s50EcqVw977URRB1c5f7 0CiBxqv2Ok0aIqiQyp/cOUuggAeh3dIkBJv3rBewrRJoyf+Zw8l9CDg0Wa94 bKKh6L1tvx5bIPCu9lCWoPM1q+Bm+wFrBI/jFvO+MtN5nareKWRLf16a0h1m dL4X+OZxzNEOgfATqxev6OOP05LbU50QbE2qVZmj+4B8YNWRdlcEGlsp13bR 139nOtfKdRLBs1LhKosVAunvkrA9eBpBouMEqySNQFXE4ZabvggKHd+kfhkh 0IHqmEP1gQgq68v3y3QQqD298OeWMATjxgpitt8I5Bw0ZLPvPIK3rRUHzAoJ NLqPqyk2EgFn8ORupgwC+QuRrCujEazbZnLdukqgRVpQw7+rCFg+7/8+7EOg yzWPDxjE0+9jIXP7loMEYslorj9/C8GTm3daV+k+djuYwbLkDr2+pt1KXznp vC7sbq6WjsDCKKCu9Tvd/+Zu1wZkItgpL7Mq+oyKCmqxWf5TBLcMtuRZXKSi LyGi+2RfIZjz2rxiJEFFKwtEkvBbBD9OTnSbLFKQ5oXKPq73CGycIkXO1lFQ XtSJsLUyev4tXx7/0xSUdPPZs5Z6BLz7+m5u3Caj+h1hRE0T/b4Mbj77eoyM mO6aGnxuRZCgPhLYJEhG59PGWnN7EJzZWtRVkzGD3HNlGSOnEYi97o94mziN 0uWXrYOpCL5503by7p9G7fl1aV5zCPjdPU8N/ZtC5u/PqB1eQYB6hCQrvaaQ wOAxVW5mgP2/u7IFZCbRBvm+2yQPPXbn/HzfbQxlKEczj/ABMPwXyPKeYQzp Bnm/6hcAUOw8r3j98SgK+aO71CoMwPRN+b/gvhE0/rc7sVwKAJ3moS3uG0ZN LMIVyZoAedKea9fr+1Gm2GNho6MAP5x3RVlxNqHtCWp1SnYAMp9uPrRUakBR f6pCRRwAfi1H/H5qXo/ca8bqN44DfKm8Ytt2sQZJ+O25UHUS4NCb+hs5j8tR 7oeSjv2hANudzVfYh8LwG5vGRNtkgJaThd1Pj/7EIqWu+ntTAAIMiu8eTm/G t8VpYxqp9PVX9EQd41tw0PxOI950AI6e2P/MPNuwerrDzK8n9P2oLzb4OH7h krGR/S6FAMdGnO++5R/AMgfP/rF+D7AtesIFzw7g+6UsWcbFAL7tV75tfP+N z9+QXxT9CGDwdHEusGwQ66sFZg9XAmSaMwqfcBzG5ZErDN7NAKeCh0WsPcbw 4ttxWmwrgPmZyraq6jGsOtI6+Kgd4PXF9w9LZcdxtsWryrYugEA1qWi2iXGc wOccjYYASmOLjyXYTuJvFuZBTiMAYfwlzy1eTOJ/kZruZ8cAltzK+e3WJ3HQ CAe8mgIgnehYN342he0Kyjf45gDsh1Vcin5N46SRF4TaPD2/28YUic3g73yp v60WAQb75htnvGaw4aUAHLsC4PrANCCVOoPPFTi9fbQG4JOjsOeGChm/HTHL Kl0H8LtX/CsxgIwlLEWjqIwkYNS+VVU4TsbOl9gD2ZhJMPBkqLROlILvFSy5 Sm0hQc/HyB0DdhTMyt9s7MROAiH+mub5Cgo2sfysfHYbCYz7fbcTBAVHXsoT SdpBAgO5GttuESomRqLXq7lJYNY6JBl8jorl+P2pg7wkUNAKzxWg87mHpePA Kj8J9v9pE8qupuKMS/ua+HaRwE3pUi/nNBV3FqhVqAmTgMbl5OHMQWDO0d1v rERIcPnQoO1VRQJb8G/NPC1GgrhFo7PXLAn8+dLwpUdSJLCMKVPiiibwYkGT f6kMCSLyJXem3iewymiZS5scCeKN9asp+QT25n9uTVUgAdfXgUa+SjqPWt41 YlMiQaF3QPeOFgL3XYpSklIhgXREz6dfvwnMW+i7G6mRYEmzPNCfTOf/Uftt ThokcJ7w5WteJHAcv+m/MC0StJ1jWV6n83KVpSrltg4JvvFWfYmk8/rqJeH+ l3okcJ12fe7GRMOahayN1QYkEMnSZ5ej83fA6PznQSMS1K8q/u6gj+fxD+Wv IhIolvwnd4bO40OWjRl8JiSYluFgGGag4V2XP95UMyXBa+tVyZgVAh8tzIm0 MiPBsjyv4dZZAieO3vE7bU6CHezZVDe6X9TyX3aOtaTXo1HKeuUXgRkO+Fg9 siLBbSaZy2G1BNa/bGdYakOCIduzZ7TofB5WaKLYdogElbxN7LV0Pn8zqixM tSXBY+/hBoUEAk/yC3GwHSOBz3iHvkcwgcUPbFmTtCeBiqvE1kA7Amt27G3d 5UiCYuWDEfYGBDZzi87jOk4CG3NbJ3cRAvuE/j264UoCk/KAwJ4BKo78p7Vn 0Z0EBzt/hx78TMW3r4dsoniQIC8kI5Z8n4qLHs687vEiAXf94t3nFlRcIy13 tcWbBIeKvPbXi1Jx11tPpzofEvx6ftlLZJ6C/33tZykJIMHR7Y8iTt2nYDPy T7c75+jrN/htw3Vk7HCOQzvuPAna6w97fU4iYx8GC46oiyTYJ/GJb7M9Gd/m qSr1u0yCkzJrgRcHZnCXYRGX+TUS3HXOOXC+expP19AmjONIoBkpQ5VJmcZr h5QqtBJIMHz7mpeR9TQWP5XrI5lIAo5Cqz/vyqawz60HX9fvkeD6UnSY0ZVJ HMnfkbZwnwTlMds5n6tN4sQnXEHkNBKIfb29+9HABH5fnCDc84gET6L7bpto TuC1/sizxTn0fhl9mr755xi+rXxC1q+YBFNfW/zlaofx09JH/zw+kIDp19Wn fe7DuMikp83xI73eG8op5/4O4S67I9H7y+n3X0i7FSY7hCWi9nVLVJNA5ocY yz3qAC76KX+ju50Efxd3p+l1/cJJkl9yVjrp/SUwTS7u6cS+4Q6VQt30/Avh n+71dmAJ0esLLv0kUD290lnb1YZvB4y6DY/R309nzXOT//3EPtuyNGcWSWAn 1d3+LL0cix3gGVgTMIH/KE71gaJf0Vrmq+XdQibgdfnxnd161ejXnAk32m0C uravdawO16LE9GDzGHETgM266ymRP9DqVNM7ZgUTiAsQ/uHc34I64+Kvbzcw geWmY58u93Sjd31iT1WMTEChcDz9RWsPuqVa+vkQMoEch2E9Wl0vMu0an03e awLV0smuN972o0JZU2d+KxMwKThPvVU4iG7WrKuKuZhAkEd2SJbCKILgcbXd biZw3Tdq7ctNOo8LNanvOmECtvZ/Nj+hjCLn4EeaPKdMYL74bn3kqzGkJGyo y+pvAiLocDAb/wQarpHUYw40Afn/PqX5B0yg1GB2fcZgE9j7gWHQ/dsEWq/p MVgLM4HcFIUPv30nUVPwBUSLNIHGUhVSQd4UihU+AZTLJtARveC3/mcKadea k6ajTeCvoRFDkdE0yhQW2Dt61QRS1pyO7G2YRoG1JWZdN03g5O/ozRc7ZpBU SOb+jkT6+UqGeRK4yahL+Jp5a5IJUB127h48SEYQcsyyIYVuUpe7jxz8Skac u+etKzNMwFhym2Z3CgV9q+21Kc+kj29d4P/wjYLOh3w9WPaYft5dOgcq5yho sDb5cFG2CTy4UXPawoKKUkIu2hbmmkCfdNm/r3SwMd/tceRNnglcOpFn6PaA igpD1I7l5ZtAe/LEYepvKvLaLWiX88YEGO9lV/Yz0Hm9jsH+aYEJrHdcYBsT JVBTyKR91jsT6FY7s5fRiECxu5sdMopMwLvu/jMNBwJp131wTCsxgYYDPpfC gwk0HZLllFpqAv4hWSYNcQTK3H39+N0yEzC94X1FNZNAtnUBzkmfTaBMPZr6 lM6nLKF2LrcqTKBCBh2W+Eqgst3GrgmVJtCi+/b+61Y6n9dJu12vMoHvzhkN ewcJJBG6zf3qNxM42PZMcHTmfxWYeVxNXxfG04AMaTIlSYgUMtVPxV7uPeee W0gppEFFmiVNCiUS0iCJBqQypUkaldhJQpEGFRUabsPtdu9Jk8r0nvfP9fns s/ba61n7nO9zGN5fPGp3tpIFS45tfxM5SqPLb9vsg96yQH+kxQD+0Gibd8Wh U1UsWPHWITiQ4e2hxZmH/d8z5y/QbjvI8PiDt9ccfGuYfI9+KRAM31t6nzri VcuCdfpeC9cwsYzKYcdj9SyoUasQLmTWl781cnL/xALO2nspM5h8ft4bnF2a WGAZEZX+l/EPq1WUXBw/s0BzssJzcJhG395OcT3cwoLJvSaKAj6NrnnzXe3a WLBf49IG+ivTb87J42bfWGDm4r6HW0uj1AUz/TntLOg7rjuEy5h8gptBWzpZ 4O0S+3vfYxrlPtcK1eKxILog3l+G4Xm96OfhS3pYoBCcH9bL+KWXh4xj5PuY +Y1KOdZ1jEa10zzvjAtYIDvaQBoa0MiiReyBQMgCe8UdrEJG3/bMq5nfaBZE zHynuXMKjWjTvOKKYRYoBpjKTb4QIb/lRFnRKAtynCzH594Uob9jnyrTf7Ig YFQz9ZCvCMncGmuI/sWC8w17WHHLReiGx8WWkD8sUBd7+TdkQogWb1/Q4feP BdqOHdIZ74VIq2eLyFqCDc26MWW5R4Voh3bgdI2ZbPA5G+E6kTiA6sVl5ijP ZoNWl0Hi9EMDyLIxae6cOWzYH8Zd47pyALmeLFMblWfDHm+u14YsAbpUIbH1 pRIbPq/YnLLtfj+SjYtl5yuzQXpdiD1l24/iXFYYPVRhQ9bSHz/K5vejBzLU /kg1NpxaWxcy/zwfvba4fPzAajboj3cG1hj1IXGh7IMfW9iwLH6rRWRsN7qM UzJ5+mw4e6H47kfdbiQXsyGveSsbfhs44tovPKSqa172fDsbZr61zV+hxEPo bFxLmCEbuI7L8koiOtHpuSpz1A6wQeWxwuzrgd/QhyfSlsiKqfegKKQ06itS MR69Z23DBklHpwuNt9sQvvBeL86eDVH/+iyXFLYg8fGTjrNc2TCkfuM3XduE LrY0Px87yYZRi7mCrMAPKObOVffqW2zI18t7T65Kxl36gUV9SWzA5WqlcQlp eNNnZ/GpKWywuSpRmnA+BzfKQjzcZ0PG/CN5Jwaf4gXnRK8KstiQNIK9Qj9X 4CSHHYuSXzD5V3K+q92vx480pKp82tmwY7rfv+A/7bheefuvo51sGMjfOXPI qQP/nhOo5cRj9Fwn8du8rgMbj41EHehjg2qvl0xzciceKeeZbRtkQ+PuM9Ti DTysUqgaqjvEBjrY19LjGg9Tj6wLtUfYcP3k2yXBwzyceOXTgmXjbPB+1nup 5nE3BuuKr9PECOBftc7wX9CLXXeLzZkiToD9hH2q9rFefI1lAJMSBJy1ooWn K3pxz6r81IFpBPi+n8F/7tqHI0bvOtXNIaB236j2vvt8XNj3Pb5KjoChK3dG lw/y8ffWRVWvFAjomMxab7+lH28ov6ZVOJ8A8/fkEdk3/fhzVMiPxCUE0FG2 IQ01Aix+DqvFLiXA+Ny0ZXGzBrCm7y+zyGUErIw293nIHcBBVt6FZ1YS4Fd+ Pf/OswGcZvy411+DgEqD5PTgoQFct12wwEuTAO26PrvklUK8fNXhUw7rCDhi dYpzJUKIjRfdybRZTzD8+WifRakQn5Bp/bpvIwHSWohv1i/EVSN7wFCXgGjF trBmEOHh3qjjrC0EWNtfsrB0EWHl1qpUfX0CFoxv1pSKFuFjL1lSaxHzfE5o 3LtmEY7PD9JZuZ2A6+P3mr6Ni3D5wxInVTYBt8MljigsoLEgcSx+IUnA5IxJ myObaawYtaFKnmL6bag2WW9C421nPX7NNCTAdMzriqUrjZ180rWkdhDgf+7A 1cmzNI526rH5u5MAff366CcM75dYql35aUyA4s0gg6AMGvN2HSwbNGH6/6HY zvY5jWdvT/zB30NAsHNGr9kHGutsalLrMifgpYnFF8tWGtutlDdv20eAVvMT K+9eGl9WMg5ttCDA+V9q7i2Gr/NmXy6ssSSg7OciaJpg/IJYZe8bawKcvs8u n8Pw+dSRKQtfHiRg8y8rGQOG/8dz4qN4dgQkXZxrF8TwvODoOsnphwn4eySm /hYTf1tdGaB5hIDHnzwOxzHra3utaWMnAsKWzlnhweQrvzfs4OVCQMAHg0AW w/sF9pdbrrsR8CVh/md7pp40laUmxUcJyLw/67deD40TW4tetx0jYP9mUV7N ZxpHxBvri3kRoH5qZHjxOxqf2duds8yHqX9H5heNIhp7yZ9Wp/wIWN3RmTGc SmOHj/K3XP0JKMyKajkdQeN9EY/kok4ScBIK/lZ6M/7LEC4+OU3A8a3GLQ0W NF776qjXeDABKp+zwrcq01g1WLJvUQgBa5UGc5ImRVhh600bFEqATcYureom ER4vfMu9EEZA3YrXZ6IviXC/t+2LR+EE5IaN9K09KMJftcc2fogk4EGPZNXd 9cy8pC9bohjDzBch/m5xvRDnO5XE6sYSYOVllKdxR4gfLjedYXWDgJubs7MW ugpxRFLQaEoiAaXJWxQLJgbwvpgv1evuEmDo9qx0p9gA5u723G52n4DdCS+1 BKUCrD9rWpHfQwLmPVYTiz4hwKoXNqU+zyCY7+P8fLFehvcDrvjvyCegZbUM knvMx2066iKPQgLU7qJiH2s+/jhcejjmKQE1r7f3Sk/n4/yj/cZfSglYNaES 1nGgDwfZkyucXhPwVspUdqyvB3uqtCVefkNAtTG43bjUgw+3eslmvyNgMLJI /JZ6D+buTf418oHpd56EYMimG8sb/qo710TAGuXn/ISSLvxQ+0lQUi9z/2fK LfDb0I495v6YKOITIHva1VXr9He8aVLbt05AAHU2zJl99Rsue5XjJjlIwKd2 3z06BW2MH8ixcB1n9GfrLvnd/RlPD3y8QUeahPNyhnINE7XY+V1Wz4fVJMy1 GbFrvxiA12YL7Xu1SNgeJVrv8/48GolZ81VsHQmKO7eGF6y5iYKtsxo2biTh 7lP742OW2SiezixL0CfBR5jtVtWJ0du5mYlHdpLQYpErCN9UizQOpRv/OUrC ql3PKmblf0dvb+vlDB0joZgfW3+Q044cv1TJ9R0nwc9Lz/YFw+f3TASf6n1J qHA23BQQ2oFUkZZVWiAJI7fjpNaqdiF8srT09hkSXrl3ac4534UOFu5UuXaW hDkGfW2ve7rQzTVHOwJDSdi0XsLyVhoPzVPOdjKLJOGZxqTGrsU9qGD/tnfc KyScDZO9vuVEDzK/VrN621Vm/3Q395qPPejqDFq46joJsp3Khm2ne9GsiXU+ f2+R8DP5WcnE6z6UsamscTiJBF7nw8kERT4y8jTR5SeT8HynRFqJPR9d7PWc bLhHgszPWcOuP/lIvOlJ8KNMEjyy+RKzZAUoRY7VmZRNQv69pVUb9wgQ7Kpn x+aQEBtqX1QcI0CBFUNTz+ST0PxAlFcrM4CUxUKcfQpJuGfPt7A0GkAl+gpV Lk9J6D311GTj+QE0nrsx0ryUhHeJE0GvhwZQnOiVyPAFCfMMGhb6rxQindXm JqiMqf92Qa27pRB5p/gorK4gYYHbzDOyz4RI/quk75JKEqKvDT0u7hOinAXX mxTfMno6qHkmKIqQ6EpBwr9qpr6FTwyGHEUosppk5pWEqJ3zbBwjRUhrWpN1 /0cSxFcob56WK0JVLMcX3+tImLGVG1v/SYRcgsaWNDaQcOiPpmPlqAhNL7lw tqqR0d//fG67Io0ejM7rws0kiOItbi/ZQCOeu+6D9FYSnFofuUs60Sgk7c20 5K8kLO69vfJhEMPnvP0u17+TcKJDc61zLMOjS/qqLneQsFdz70ZOGo3srPy1 grtIsNk7NhVKaPTvxvQo324SuBZfrptXMX6hPp527SWhSb6Sf+4zjQxkNEzt +CSgWVc1qng0ajUszt0rICHk5KoEDZpGrN33LHyFJPwxqhqEcRqlm1/5G0uT cCbsxOGF/2gkb3nyXv4PRq/Gb3pfGF4/aXvE6NMwo7+bUb8Uw/OdDiaDw6P/ n6fcdHkmNnLVv6EwTsI296mn/v3///wxdYONkyRc3tfSFs/kU/KV69zzm4Tx V1cshpn9zp38fdHrLwnzvS3bZQYZ/3Omd02MGAccdaoVBph694TWNzwR58Cl rdUl4c00Kr78PKBOkgPflaNei97QSDU6bcmPqRzgiJ3dOa+QRpeuX3stK82B mBm60RKpNBpMDHLTnsmBkc49E0XhDL8nu8iZzObAy+NHF2z2plHZffOiY3M4 EFEzcf8048dWZSCbK3Ic8LZXPxetT6PonNUSjxU4INryLN9LmUbjBXMf1czl gOLtUfcVv0TI7pnYbtF8DoTX2E3JaBaht2WCkdlKHFgxL5OWYuYlrvol7FLh wHxx8hrHjuH/2swed1UOyMlLTd2wifGPTXEREWoc6PuptuuvlAjpdBz9XK3O AZ+8JH/OXSFqGlvoabSOA3kdbIeJigG07bfkPNf1HLC9FhBhfGkAPZgy+Cxs IweiO6KupxoOIL9ZldPe6XLguMVG6QOVAjRXzesOBRxIZ7ccDUnrR6dX2pBO LA7cjI29vse6H/G0uIILBAf0KrPSKZl+lK+rolvJ5cDMF4Ppxe58ZL6rqoYw 5YBVdP+5g4p9qHRPgY+DGQeOPL6S9qe4Fy23SFY6v5cDKXe+LRiy6UUjh/wc Xx3gwM+W6IaR5B50zV/t7/ZDHEgThnQtVuxG9XdPrkHezH76H3foFXQgebHC Yj1fDnw1CZgyc0cHMrP+Qeqc4MBgml3K++/t6JOi88E1pzigNFdpxGBqO2oO 3XtlUQgH1Ov8jRddaUNtTto/fsZwoMMjJGGC3Yi6NXvyc3I5cHHAAXOpIqR+ aen2zHwOfMqM+ehlnoccedYfHhZyIOPXeHZrWTbqu9XQnVTCgbGsY9P1m2+j /tkv50WWc+CjZ3Xj8OtkLKJv+rvUc+DAuz/6m8Ze4fE8UwO1IQ4cXmOmaKH1 Bc/6T6dGYYQD8YG7i7VlW7BqqZKd1BgHNByG04KHWjC3oiukb4ID9c89dU1z 23DCJ9/q7CkUHAg/I3tXph3rjSZY6stRUKi51DDHqAsbBwQNaClQQD/JvmCe 1YUP/TkUpDKXgqkyPWStDA9fltJKnbKQgjHpqU66NTzcOvcF/40qBa1GHpMr t/Xg0zqd/ubaFCi+vOpOf+3D0SWVMzgbKHB5P2JzXpOP723LuKW7iQLpsnLp pBN8/J7jU6b0HwVXbe8/2zWzHy/eP3V6B6Lg1mBJvrqqAG9o7U+o305BlfTs mS72Asyx/ahZwaYgMF6tWiZFgD2c4nc/pCjQuSF2z3fRAH5xYnXc0d0UXGny bN/1ewDX/5LRsDWlQLN1kSRXW4h7zgyXmJhRQI0rmF4+JMQyl0q/bdxPAbvu bXrrSyFWm5XiueIABeG8SqVukRDrRIeKz7eiwNaBf1JTSYQPxhurTx6kQNQ/ Y9TBTYS9lDc+FdhREFdwn2N2VYQvJM83+nqIgr2JvJ8+BSKcuPx3a40DBbBm Yd8bht+z09qPljlSkNFWJ2f0f37Xev3viTMFup7jlyfm0bgp59HVu64UtAlE 5z9tpPG/p14FFzyYG9RcYzTVmeHjqbnhqZ4U/Bec4YkYXi8x/2H/wouCgW6p MsN4Gselav/X4kPBvAM9d5Zl0dhn8JjMmB8FtaMaSdWYxqbbHvPkAih4sf/W MahleDNCVLLmFAU/bsoMBn+j8cyWNVcNAyk4me2mFtFP476VR52OnKHgQuc7 bfsRGr/2zdx69iwFtxsC3P/9onHqK4HC7RAKgijplXkMXwfLafY/DWX0OPe8 xIjhbxtb17JPFyl4dXDcvJKJ9bIe3RgMo+CxUEq4gokX/OpznxVBwaBWe6QL 8/wodxV7VRQFixOsM9WY/PU3nBYS0RT4a4UO6g3T+DHvAW0bQ4GAXuOjzGd4 fEPP61OxzLw5RPe/aaOxa/CKW3E3KPA2XbJ2Ww2NqRoHr7x4CiTzT0Aw41eW K9/jfkyk4DltbHQlncbirl0qglsU5O0+eNP9Oo2/F6mNTmXeWKy6HekLg2hc KnWoWi2FAmWDaMV4BxonmKWkbLtLwdrLlkl8Lo39UtpPWN6nwDzZc4OsJo3N 6CXGfg8pSLSc3Tl7Jo21t9ouj3lEwSrRMx6vT4RnhydNZmUw57mrHR9XwfD6 56+177IoOCxQCV6VJML3fawDp+Qy9TQsK6aNRPhc+U2zxflMPxT+fdBUEWE7 2VaNLYUU9Ez6JZnSQqyUeaDJs4SC3PPnY5zChfjnRHxmRCkFN4anpB7cJ8Sf qM/n0l5QEDnmSexaIsRRXfvWtZdTMHrdI001YwC7rb8h9buCAvsfNn6zPRie P9PYOv8NBZ1PjtNT1g1giUXml3ZXU6C/jBOkkCHA/ntMO140MOujpGqtIvrx 3uToopZGCoT/7X45DRj/LfoYOdbM3FdJiWmdP/hYGGast7aNgnfqI/t1Tfj4 0Msd127zKLj/LNNDcrwX79DmkKdHKXDo3nzxwgQPizU2TvH5SUH5qETH+wQe Lgw48sJtgoKLF9LFG//jYbVX53Wt/lCQ0M2Zz/LuwpN7X2noSXHhuc2Hbt2W Dpx+CmTGFbkgKTG/btFAG5Z+o9fsvYkLF+XXR2w3fY9fuFVdc9PhQr8JT93v SBX2kbU0OfwfF6Qkv/2R93+L2w8EvNtjwIWn0lWRv+Mr8NOBomfrCS6U8dzn ZSYUY2f5zcm0GReaV94af0DFoTc261zcvLnwUWvhrP9+1SL5w87PbvtywT3M NDtQuh4ddE6ZXXuCC6prjOY5z2tAY14KuZtOcyGwQelYi2YjWn7p5+Sf81y4 I+a4air7CwrOxRHRN7gQGsaTfHqpHb0vGv9WHs+FLS/VVjmJdaD5z9evH03k AilN/6nx60DZb+42HrjDhdRKKYP7tp3oa9tFlWVpXFj8hjUjQJWH9KaZ5BQU c2Fh0QeJc/t70YVZYeJ9z7gQSx66WV3Yi+rkys2VXnBhUnfKo53M99VZedNE UDkXEq34K7+860Nx6xewuNVc6AnvOGWr0o86dUxjT37gQl0UK+mhRz9aa3C5 J/MjF8Qj97UPlfajSs7vy3KfuNDittj6lJkAjVi1N7S0Mf2toYRPnQYQ2C9U n/2dC3aUOg58OIDCHff4ow6mf5qhvUrdA0jteIXyvW4uLBWrbq0+IEQefn88 mnqZ8+oltzdFC1HJKZ2X0/u5sDbqVHbaayEyvZB25KiIC9BQLoheJUK3wjuK 7gxyQSUyoP/OPhHqi1aaUT/EhepdVnWO50Ro0w0za8lRLqwQ7t3bmSFCwTcj snV+MvrYhuyf0yBC75Nfi7lMcMGq+Uh3/08Rmv/g756bv7iAr6tu8VKi0aEM 3fsf/nDB1CKrOFWPRtk5nj///eOC7VGZXwEMv/0PXBFX+Q== "]]}, Annotation[#, "Charting`Private`Tag$49923#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$49923#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}, {-3.48534353153654, 1.0482525376428578`}}, 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}}, CellLabel->"Out[75]=",ExpressionUUID->"7a174eb4-3aef-4266-87f5-ce22603869bb"] }, Open ]], Cell[BoxData[""], "Input",ExpressionUUID->"3348b114-a828-4ecd-b041-c05f2c3c1f4f"], Cell[BoxData[ RowBox[{ RowBox[{"myU", " ", "=", " ", RowBox[{"-", "20"}]}], ";"}]], "Input", CellChangeTimes->{{3.8714523919743347`*^9, 3.8714523976330957`*^9}, 3.871702258251472*^9, {3.871702998949502*^9, 3.871703010060526*^9}}, CellLabel->"In[12]:=",ExpressionUUID->"f8eadf02-2365-4b19-8fab-86eca3906e04"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"myDelta", "[", RowBox[{"e", ",", "0", ",", "myU"}], "]"}], ",", RowBox[{"myDelta", "[", RowBox[{"e", ",", "1", ",", "myU"}], "]"}], ",", RowBox[{"myDelta", "[", RowBox[{"e", ",", "2", ",", "myU"}], "]"}], ",", RowBox[{"myDelta", "[", RowBox[{"e", ",", "3", ",", "myU"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"e", ",", "0", ",", "50"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"PlotStyle", "->", "sps"}]}], "]"}]], "Input", CellChangeTimes->{{3.871451731437806*^9, 3.8714517417041817`*^9}, { 3.871451775257778*^9, 3.871451795845615*^9}, {3.871451896161566*^9, 3.871451920565785*^9}, {3.8714519959825*^9, 3.871452092341058*^9}, { 3.871452225750717*^9, 3.871452226914689*^9}, {3.871452259328054*^9, 3.8714522671817207`*^9}, {3.871452324603694*^9, 3.871452363571018*^9}, { 3.8714524022080927`*^9, 3.871452426727735*^9}, {3.871701926328106*^9, 3.871701926931497*^9}, {3.871702334415431*^9, 3.871702383809602*^9}}, CellLabel->"In[13]:=",ExpressionUUID->"765ec521-d0d3-43d8-ae3e-17782778ef3c"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[None], LineBox[CompressedData[" 1:eJwVz3081AccwPHTcNXyKqRoxrlMEctF0nG+X88/hJiFjDnn4TxcyXOlIr0s o6heqzxnKD2KGCb9UIjVS12shY0zD3fu9yo5XBTW/vi83n9/9EIOe4etotFo 7p/7X2buUnmJTo2Nr+Z6P30lOdmw2lBXwM+FS9tao/tpcrIt5V7Fdn4pbEh7 9C700zzZaXokQplfDadOfr3NWTZPPs0REnMRJPwVHRfGHZknu9kZTVREL3xV tLD1YeM82XNh8Ig4Yhim2ru7vwudJ11b6B4TEe8gRMQ3S747Rz5XsVijGEjD voX3h0fmZKRdrmPrDc/VmFzqYt5gMUOG7VxUYalswJ01deEmUdOku2HY+03O G1FWNBx7oo8ia/tOJHZbamJWon10paaEtFIzqlY8pY3xhlvHzfXHyYiPF4sr /Ri4+9ZscYVARB7unDSrdmfiGfGBHUk+Q+TPB5W/WYrRx6ObjI8tk/0kr+t4 OItvgFYM2Wa65guyja7lFe2/Hb3fGVg4rXSQLNW0y5IEIwzwtMk81NNABss4 xh4xxqheZ3uhJqSALCvp0Jaf+xbVmgM5v/ZWwIPz7EGhtykG1+mXxxY3QcLv nP3F+1g4wnr9xbjnYyB7KmeyAnbhj/6Fgopn3RDpvLcl0s8MjRIZbf9we6Go ilUfHWWOUwFX3uqeEMIFWUt6bPJuHOMtsHF1P0zcSkzix1lg+Z1MXrrNa3ji dPHq6dN7UOGjx4eM1Deg4DkwmptmibL3eQPTcYNAs/1N4drRvbhrhbbR1/5v OLtZ7i78iY2zzS6unTrDEHuQ1y7PsMLJlOlDZtwREKWbh8Iv1ni8U8flsaUI Nl7KH8gq42Dy0J8xZxVG4foGo6NdhTZ4wHJH2uKDUWiL03XcdhuwIl6Q1xDz L5QwrmlzfBD9QmeKilTHoCV1kcZ/gXheixlJ3hkDPTf6p62+tri2sCPpB49x qOs1zH7TZ4uilZ60/cPjkNO5bMoItEMG+xn7YtIEXIqXRAUP2SGdpySsXp6A VA2d9Ux/e2xdq+xw+9Qk3DRU6kkYsUfquXWXVFkMyrMKWm1BDvjIqjFfPV0M N0xrTpZMOuB1DZHUU0EChiG3PJYEjqgq9MpwPy6BQZem2u+ljthVlZ30WiIB YfkxE4h3wv5zGSncoCn48MDLmjnjhIU3fR46PJ2Clca4+sxDzlhYsMU200QK bqZOjqlzztgS3dLYcFUKXYE7I6PjCbypjepRi1JQ4/GbixMJdFajErQ+SSGI X6byIpnANcZqd58uSWE+Tr3WPJXAxlDFMgMFCvTPyheXzhDY2quUP0KnIK2W zMm7TKDgTmn/Pg0K2PT99+ubCKx3+3JU2ZSCzHVZq8TNBNqovzKpYVHwUrXd Z8sjAguyer0CzCjga5svnGwnUO98MbPagoIrLE074g8CFVXWS3w4FMwGjLwa GCIwoc5dI9+VAuRqGagME7hD+HIK91GQHe6dAiICb/DC88XuFDCPPNGuGCew qV6evseLAq/MqjDBWwLXNbNPv/KloChb1FA6TWCVbrveMX8KxHlb1gpnCOSc 6ypgBHz+Kcy5ZyEnUMc2Q0sQRMGzax20yAUCrcd8dNWDKdh8fdm78COBPNfB 5UYuBSG391Q+XyKQy9BvDOJRcO9+rHxlhcBANY6bYhgF/wFF1k89 "]]}, Annotation[#, "Charting`Private`Tag$12057#1"]& ], TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Large], LineBox[CompressedData[" 1:eJwVl3c01f8fx+3KKNkkiZKLcK1k9HqVdVM0aEhDMm42XyupRBlRIRklVEY0 FC3EJzRlpcnHzrz2vBfJ7/7+ep/HOa9z3s/X6/18Pc95r3f03u/MxcHBIcrJ wfH/U+H64v0MuWfb+HX5mos6OuHVcso6T/p1UP7JO/7vcQdUBj/JVqZngusl C5GVrHa4oddzVOhaHnj0PLwtFtIOHzR9XfnohZDAIhiuUu0QKr70eimrGF4q 95V7f2qD5ESzbX+vvgLLN0GDXy61QeGquGpWSBm8Uvl2yMayDT7FNdFmXAm4 9vqLyl+JNhi/JNgfXFAJy6K8Ak4MtsK56kIKM6saNMTy6CFvW4Gfy8YjIOU9 WPm3n4u93QrJOPtk6upH+LGzv2rxTCsoXkib8L30GRwNvpL29q3wtNxIZzzk CxR95D9vAa3w2SCiZNi1AWTurYjOEmqFh0ai53ULG2FL09ncVCYJE6RTpn/B V9Cmzj5U/0OC/tmXb4tzmuDHQfdGw0YSzsss757M+gaV64IzMypIeFdix62V /h2c77ziNXhCAr/dww2+KT8ALN0TpzNISEmxdh27+gssfqXJ+kSQ0K6XFa0e 8xvoMlLZAkEkbPg5ke95qRn6pW2LQ9xJcAsw+fLoQgucM2UqFjqQ8FTs5vBQ CAnj5Gvd9IMkzBb3CakGtsLkooGDnhUJxjb6Gm6+bWCkv1ntP1MSahJI3wHX DuDzu3uiUIeE6NTkzzeondC27JtsxmYS1OhwRLuwE+xXis4LbSKhYcsAo0mt C0pv9Rqx5EnwW5Zw1q+gC94Y3n96cA0J4r+2Coood8MB9YFURQkSXud2pz/L 6YYV88U5dqtJsA+M3bxP8Q8ULs4NTAmS8M9Mp2I86w8w5L3qRpaTcFe8zTpe rgf4I0+uNOElwbT3codGeg/8pFx5OsZJwsBzdZ8G6V5YUE5eGPvXArGXfnF4 p/RCoKqPP/5tAXXbsISV4n2Q6Cb3u22uBZoUKQpPEvvATIQi+Z7ZAgFTX4us hPvhwvmgfVMzLSBVHWIycrUfFDcmNzlPt0BZouL3OIEBkBk7vFJmqgWOO9Y6 qcUMAA+94Y7QZAtwagXMfOEbBDLxotG2iRbI5pSLdL80CL0nRt7nj7eAxdcP EgJcDFj6YKxtzWZGlndewQUG3HLRTaOw+ZqPlL7lIgOuWlgoGbCZipWfBkOG YFigWf48m7+vcrOLYQ1B0dGC3ik2B3eIMJQDh2Fd/7G+NPZ9awrLQj5NDcPG HPkHXmw9FeedBOi+I9B8xaPKh633pLVQ+rKxEXDk6WnLYPfDI/dSLc9jFNKY JsVMdr95I8fLzRmj4G/oxh/Cnodl+TLrPtcx+PvEq2QDe17UJccZifExuDZZ fnPdQgvEyZ+oVzQaBz13fx2LxRYIqxRUMAobh0nvtbtvLbWAv2NpgO27cQgv ybonyUUCnZv+2WP5BPgqHhKs4CHhaLb42su7J0ClWtM9bhn7Pft83r34PgEJ ArYN6ULsfYmSk6qXmoRWq4wfrcJsvynXuvcdnQQFmzdfUYwEUbdNopK9bLYL X+/L9lf3SNvJ4JkpMBYTP3xUlYSf12JfxG+dhpIv5n+zNdh+1ti6Iv/cNKif qzspwPZzkW/S02beGRgovdGjbkzCxRnLJQOJWfjgut/07V4S5BdfpS/qsYD3 wR7LtFASxDKcx8XPsoDCzVsdGk7CchA1VSdYkDFIlQmMJmEszGvouMUciF42 YD5IIqGCZ6PB20Pz0HDVWJKPvc/HBBN/hQf/Bfffwe/se0ioE9JbwXOMA8ev 16c1HGuFpl0iqfWhHFjZNOXh4NwKv2NGldLSOZBhSowverRCD2+eqXorB/4U mbx1PLQV/i5Khh2258TjZHlyMTu/VEbnZh/ZceF2TmnjlNZWiK4v7zlwkAcf /5vVKHNpgx3Xzd7m7VmO7jfVS8PT2iHM8nl+k9dyrCpN+RNxvx0qeBVvLF5d jrt8NHmuPW4Hg1AOF5va5biKT3xNeWU7aJ8uE1iirUCbMYetkYx22GBCPXRw Bz8amGRerDRm5wRTdpRHVxA3m5+6UcfoAGeNeSGqkDBmVr0wTWTnxG4yKkdK ThjHGpf1ab7sBJ0ocWMODWH0Uwut/v6mE3g6ND0a9gpj287UrWo1nXDvmmuN Z5IwPnrTbirT2wkdI98jC9asxmtXfOKn13SB3aPCJUUVEXx8/MyqoqtdYEVx npCwEMPNLz9LTF3shvnYgLK2g2K40UmI0yOmGx6MXr6c7SKGfevb5Rnx3cDz PFdaK1IMxcverJzN7IbSbQPbrd6LobnzOLdVRTco2bonRpiI40Cwnuf8Qjdw XPDVHgcJFDuz3trz7B8o+n4u4LO+FLofTJVIje2BB5edHLt3SuHfu33zhjd7 IENv156FI1K48jG3Xn9GD1xJlaJsPieFmb0ln22KeuDU0eLW+Eop1Jozl4ps 7gGxngGTw5bS2FwQP2NLYefWlI1Iv70MbtlW4lFT3wuGIiqFPBdk8XZAtNN9 rX6o5zzyue66LK4ePJsku60fHCZi/iRnySLhcvtGxs5+uNQ4KEmpksWFubVy 5Q7s+mv5YVa8a1HTvczI+Tq7XoCyPzl2LVbHvQqij7LreZRnNqXKYcAwx1u/ 4gFwXUi8k3NYHvPruNuc7BmQZD1cfcZBHkdzNj8+SWfA27tmDCu6PIYWW065 BjBAisbSmw2Sx+31novx1xnwKelYo3mKPB7GX3UH3jGAoq7MPfBDHnVdt0c8 1RiCIYdyuorNeuTfc96YFBoG7w/92oVWCrhXK945cnAE3uIjd7WDCmh8K6HU dX4EhMt87ucfV0ANrb1qBwVG4WnhnEi2twKeWj126cjmUZhMFZhMTVBAm2DN Tk6/UQh013ga/kMBmdv8yr4ujkKocJDawWOKSBdW3/Ft1ThcOcK3cdFjA6qG l8s+M5+AUx/PulDpSmgh1xVZ9msKnIyUrGe9ldCUpuV1rXsKXJ416pYFKWH0 +ddTLiNTQL+9kdcsSgnPRSh8UuaeBi/vhvuHc5VwaeS81Jj6NIRIKnZd6FHC F23D0uFR05DoWmNf77AJFaRr39wymoGkVn+TG/RNeEJ8dqckbQZu7lunethn E57swvJUmxlINfSf77qwCc3iK/UL3GYgY5Vc2kzGJhzSKi3kS5uBgle+P2Xb NqHtxcAnGbMzULlMep+7nTIWG2t5r3wxC3331S2bTyqj/BmsWls1C4JoamLh pozA2BlHbZiFw8HeuopnlVHhqulel8FZGBt4L02mK6OJYedabjkmrK3x67bs VMbIHPmMxSgm7HCJJl8PKGNE8N0hq5tMoHNlfFeaUMYHE7H1d+8x4bnB5w9c XBTcZuIkZVvOhF0P1z0sVaRgxOkh4a5JJpyJq/1PxZWC75/NMq4dZ+emcrdH qjcFb/8id6/2YMG7d0xnvmAKprxAWvIZFggvKhzujqag6oPoz3lJLNBL09+3 N4GCZImBus49FhzVtbasSKMgv4cAo6qQBXmeZ4xuFVCQoUsq9tewoHbFdd3l xRTUeisZFvqbBZM52eqBZRR0+Dw6JtrHAqkdpZt6qilo5nXA8fEUC7a1N8jv r2XrFaB+oHHOgVNIr/Tb7xSMrjjE37dyDq5ILIiot1GQ6I9fe1l2Dp4WCQum 91Lw5KPJkkbpOeKHtRIv/ygFxX4HGqkLzhHzDMN/QbMUXCjuVbzyj0XIR+1j 9v6jYF3e44s94yzCgwgdrFylgh+Tt/Ul/WAR3Jrf6s5QVZBDLxr6MlgEdXVY 8qC/CqoOnC46QmURpct/KX8MVcH87YdWJmxgETs41MuyL6lgCsfDFR8lWYTt GNlxIkkFXxb9ktL6xyQC67ZQfhar4ODWP1S+L0ziTcxYWdWkCn44xCVe7MQk aFwnum77qOL7M/anLqfOEg5TxmrWHmpYWhQaoMg7Q9zNeC/LvKqOlBdywjJf JojiawZk035NLJ1ubezkGiUcb6/kLT2oibLif5hFYyOEyINu9btHNDFFSFo/ oXWE8Km8Eu7tqIk7X27h8ns5QqhNt1AE/TTxTX5G/ju3ESLb7mywWYIm6tSl 0B7/GCaSNrwRf92giaL7sw+cfz5E+Jca772zm4qup3gWXG8OEi+OfORq3ktF dR7NJ3URg8Ts/N4XYgeoqBXidQf9Bokzhk4ycceo+Clrt6j1nkHi/JsrPSFe VBzeQrnOxz9IRFX8Cj4cT8VSGV3V/osDxK0q37ui36mYNKDnrnG2nyBqciZj 7LXQzGd2iCOxlyiSavQ9d0ILb+6qoHle6iWyXebHfU5pob9z4ME/gb3EFa49 Y4fctTDqt4brsH0vYWvAGtp4Vgt9VDmv+yr1Eox8y97KW1pIy5m8uL28hxCL Gfs116yF96abT72b+EOctthafvqwNkYdUB2o8O8mRpWl3z87qo2OZoZ9bvRu wo9/rnbOQRuvboxSkj/aTYTWvW6NOa2N//VNW+aadBPxNvp/80O0UWKFhaa8 aDfx8sQWQ0a6NoYZLPZXFXcRXMG6JW5d2ijmmSMRs9BJpD+gvnB300F7p0DZ AvMO4lPzqU+ZXjro9MdjOkyrg5jmTya/+emgw3BbnbNcB7HLc57T6KwO5j0S 3GM3207MU6utBeN00CvCTqQvt52wK7MdePRYB7eu7uOK5W8nJOqD1oyO66Ck pQE8IFuJhKnyiz5Bungotkbr8r0Woq8gIJDup4dKtctayNGfxDvzxNTw8C14 rHpqu2jgN4JzT0v39TB9jLzDHe2d1UhwbH/JmXVmK54Lng94uaeWiJZkWjVF GWCTjqG+bMRHwufIqSpmhCGact9cXhtUTXRd1HGCm0a46Xn8seKpCkLsRlpL zF1jXKhNa1j34RWRK6xy5uPtbRiu/VhY/MYzotJvndmmh4D9Ym+kv2TkEhny WbLGtojcysF9MjYpRHnoPAe9EXHlAnW6A+nE+l3L/ioe2o5RHZIT5d8T4HkD Jbb5+3YcmhjSL1G7B3Ef/mnKH9uBo/23a4SrH8KN/wbdHFp34I28gcxB1SL2 f1ZulYKdCZ4qVBC5uPUl5FN4a/w7TVBCf4+LXHAp8E1zSlceN8XLMnIXGFYV kKf57HxGvyk21M992q9aCRTHAutFTzNML/jwz1yqGsidJUUHhsxQP59Ti6/5 HTTdD9kM/5kjl+6PqpbnH4BVvM9IYdIcs931Tqylf4Kl134vIr0s8Eby3dd2 AjWwS9PcLHTGAi3FgzJrar7Ax2Map93/o2Hx05XFai51IHKKXnYngIatbQq7 rTzr4Dj9rlBjEA0tVk2e8/Svg1k/0SKdUBrGjBU/ehReBxuimfOLl2gIlo7G Spl1EFZExMUn01ApV9CB73cdGCzb+/RFCQ1F1+TuCt1ZD5GCMVwDZTQUdlnt E7+3Hr6urrKVqaBh7s0cnexD9UCX1Zk7X0VD+lFqZo1zPaRQpXbQvtBw/1UN DtHwepi27/zW0kpDjoz9GxJL6wFPSisJddDQdNTdJauyHmJd9gdDFw2H39J2 P/lUDwq+72Sze2m4To7K8/lnPeyLfODsOUrDLINZlfnJekiP7XqVOU7D+jTn BN75ehiIl+FvmqRhmviJO8KcDRB2O+6JHpOGU85NuRtXNUBt1nuO03M0tBMu z9aQaADJ3H/7by/QMDpCdOfWtQ3g+HBLTt0iDROWhJJ2bGiAJ099mEtLNLQu 7rm8S7UB/geNImOI "]]}, Annotation[#, "Charting`Private`Tag$12057#2"]& ], TagBox[ {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], Dashing[Medium], LineBox[CompressedData[" 1:eJwVV3c4F/4Tx1dpUIloqISSimwf846MDxWSipRkRUZWdoWUEUKlgVA2FcmO N8rMniGyZyHZGT+/v97PPa+7973unueee90hw1taJnQ0NDT3aGlo/v9yPV55 +/pAupzC7HZTo6UvJHsT30Ers8dgqhf5bv9kPCl2fh971CwKaOjnvGJOR5Mn 4gNXmIISIJf550nWtJekTND2xkazD8DaHRu0Q+wZcd+1lrMWnQFYu7z790II CQtVklsOzIZsl2rLm/NB5MP2gC8LrvlQlzv9YvuCP6kIaKTO3iBw0FwyIifR h0x5Mw47JxfDa5YzmNLhTe58+cA3H/0F4jqXozbe8iJb6M5b3n5eCln7VaMt NT1IGM69/xtYDiHtc/xMP90J972Xf2y9K6GnrN5kwdOFpBXIiE65fgOvbCU9 U2dHIrP809Hatga4PiefpM+0J5VS93N/3aiDCscqV01+W5Iiw3JX7EM9WMYp R5SkW5E/ncZRDskNoHDgftqX6+aE4pZVlBHXCFsefB83v2ZC7u7d1Dcd3QTp +p9qr8dcJ19zdf8TjmiGvJAR1o9whWzRTeGxfd4CBrrHfY0SL5Dnz9VvTAa2 wedLnDNbuU+RbvFoXwG/71CrVdAhsXaS8LT+SbLybgdG//zEC0mskMb67Ne4 ayeISBWOv1NShrmMIabjjj+AudLwkKqjBsiep5y8adsFJoPnIsIOaUNVSKft yI2f8FtzbpTN7Ar4vgirfCLUA1KL83UGvAZwwgwui3zoAflZhxbbTYZgxxDi ZpfcC/RpuX6fX5jAqpJo4VR0P3ypq6xP32YJMbu61IMPDADv49ktUYFWoDj4 4OfJiAHIPVOcX0R7Cx55t9Hcej4IfdRXbRuGbGD3F9dTvwOH4SKHJE+kmz3k h3I3B2wdgdtvDh3WZncAfcNq4xN+I7A1abUh8IMDxNIeeGjhPQpxPnofRFpv gxAWV4y6jkO4DM0JAxpnUCtgUB+6MQkUYcODSn1uILRmOMs2NQnTQhvbxa65 QwDntVpumSmIM88Fzg53cDDMu639dQr27Sj1Eau6A4pDNl8zm//ALjVVZutn 96Dvd9d159m/UJnZu7/OzhNagx5lBkvOwKfiQCb6OE+oOim5OenODOSxZVul tHrCR9unae0bZsHp7XlVY4oXeM6qrUmxzYHrPe+N87NewLmSHbEivgDsPHLa nVe8gfW1ydQutwVwy416st3XGzYBi6IAWQBBpb78iY/eMOlhPa6vsggGppqR 2QwPoJD+sFTRpSUoS53NzHj3AK4yhrZ5OS/DTfpjr9h/P4QaJvHN9Fdp0P7Z tHu0oh80nt75otadBpmJto+WqR9895s48jKCBrWfVDkO+vjBwIYERYEfNNhu bPknrcoPllfYPXT0aLGCma7mj7o/HJtYnEvVpUPlmrsaSVqPwLe2YODCRXr8 VMHr8U4tEBQeKxUlaGzCo1MjKR5+wWBycolJiGkHnnpJTTnH8xTO8pn8YVNh RY1EyUMlnC/gY/Od25WU3SjbFx2bvj0CpHce+0B/jwO7eifUnmhHw41/oZFx Opy41e45z8OaN3CrbFjkw1ku7DlxU/DQpTjwv7zx8IolD7psblG/ZJwIRuVu pkJmR7Cf62DrjicpUMyw55yF7lGc/KXgSsf8AYSYPcJGHY6hvafb1Tvv0sHg r+wJdcsTyMPA/9+7uQyIeV3KMR8ogBf77D1eNGVBRpBUZ6OWIO5XaWffeigP DMO3bci7KIh1Dr0D9gJ5sDOxTyDmsiAypC7bDkrngU2xv9ctQ0H0uRw72Xcx D07MdPAx2gliTtyALTUwD2J13ZyVQgTxKJm4X/ovD57yfN6VUyeIkKG5repn PjjkyWpGnhHCWf/kAzJlBZB5uZyuXVMIqWwsQW5tBTC3pJnJekEIMYTVoGKk AFykjfcGXBVC46R/Fv5bC+HuZ/8BV2shfNWWN5p+rhB8CtucdYKF0O63DUNk TyG8KrGNYWkWwlH+8In39EVAquKm/fSEcdvQiV0GSsXwcXe97Z1rwvisNT4d NIoh1nRpysZIGNl38Kry6haDP53G5CULYYySnA7eZlUM2lIL44fdhHGy5mqk 3LNiGEtSGyx+JYx1dd3v+YeLgdVvsm2xXRjHYxmDnoSUwMa2PZd+dwljyPMv LD4RJbDIo9ja0yuMnwWdZu4nlEB30Yvm8lFhHOOfmX9ZUAJJC/INzxaF8ZZ8 jxFlrATkzJ5WCe0RQZNLWiuqSl/AXEWywFxHBE+f/uVw4L+vMHF0T2n6FRFs 116tuLLjK9htWaxeNBDBVCYvjsT9X8G9JueHn7kIpvgf3GFK+QrB5ynLSa4i 6Kax96Kn9VfIuiYhPRYhguGvvympdH0FOmex3Ju9Iui7N+17Ymkp+OjuKv44 KIIdA7850ppLgVF6tmJpVATf6DAfLu8vhV2rn777T4sg55XjQzx0ZXDUW3Qh +T9RzFC0+xcDZaARLCIxflgUec7tTMwtKIOIRKFMi5uiuNZVNMtTXg4V7UYV Udai6FeT8nLz93KY2RLW2WQniuyR9SM0o+Vw2mqJVsZNFDPl7TYe3VoBS0Jf 1BkDRDHnPmehnmYF6OZrj6S+E0WMPbPRsbsC2Gqd9k1MieK+pzTHrbZUgcJa kgDXrCjuCaJLGN1fBdaCP+QvLopiI82yxh2hKigLRbNCWjFU5/9bN6ZTBbcv bc4M2imG26Ken+xPrILmnlfqJ0XFMPGB/eqts98g5G+Bp42TGLKG2gooJVeD dWPw9StuYrhM/6rZmVTDmXQjeeo9MTRq2zhc2lwNG29tpuX0EUM9+5ub3q1V g/uYtkddmBhmSdnofbpYA6a943cFssQw5xYmNGyuBZm6Pe6/ZsSQZkJk9uOD Otjz/pfe9wUxFGDWa739ug7mAoj012Ux9Fv4VqmTXQfpaib/wunFseGTds+9 0To4UpbmeppVHHVTGbtTeeuBuUDFJVlEHNfYmAbzguthKPm2o5mdOG6WvkOJ tmmAi/tXuxMdxXFvuz69l0cDlD5+qDLqKo5vL5tudA9ugFiH57tv3hdHK4sL vrlpDWAol5tn8VQcWXUOJhhMN0B3w/KqdZY41lDehYW6NkLLwn2f20viyNZ+ UUlpfc8rWjBOZa6KYzj9O/G4jCb41PVUZ45OAjXs3F8eLm+C0JI4PqetEnj3 zZa/vhNNoBlQ/s2ZQwIfi/WP9sk1Q/XBrTvc5SRwpXDrb4GhZviqHPrCy0sC n5cNcuafa4VB0/wa14cSaHfdOkvWrBU2+gzQ2ftLIO02psPDd1uBWi5uZRQq gX8Zl5nTUluhWqVTXvGNBHJDO+PhLW3QROUZ31AigZKlt7Pmqttgxuws52qp BF5PfT/DNtS2Ps+OF+Yq1//3zEozXmuDi5UVZKhBAmv/Cbr5C3+HDlWrp+W9 EujQ3R7BGP4d+tSyZP1oKag/JHD+8u12+M/ip53nBgpOmiizBoa0A8+jTYku mylo5i14a/ZdO5h+u7zzJjMF7aWuiZkPt8PY6bUhtUMU3NgRj7+vdMD0GWow ozwFtfRVMya1OoFWo6PvsQcFR7YUFofc6oKKwgvcDt4UrOSOSKV50gXBAg1G Or4U/CS6wzwnqws4t1UMcAZT0FPgx+MNa12ANZlD6VGU9X6P5/E/6QaP0yFj TYUU/Dd4qNOp6idQ8xmP55RQ8Fd8NrVj+ifsOO5rEVFGwbAvh9ormXogesu9 X8a1FNzzSDOLQaIHiiotJ2a7KNi6/7XV20c9QEOlTrOvUJBLp4U0yPZCRfYX 4WUaSbzZe953UbsXgnnBvodeEo+GfnG+YNkLnAziM4mMknjQYEkyNbwXsIx7 TpJDEp1Yo7yGlnvBQ3FtUU9aEj2etcccqOoDGvks2mgXSSzYqVHv+3QALisO V32/I4kC7+ce8GUNwCeV3U+ZvSRRXGSonOv7AJipux657y+JYhXtKtz7B6FB T+60abgkmgc+5HNLGYQ3jmVPTxRIYmj+4W8POoZg2WX+qkmxJG54RO8uTreu y+4c5X1dKol+pg+4tI4NwxZv/9zttev8PANO1LkNg32Ievd0tyS+H+RyouMZ AcXUVt5cGikkxQXfrvuPwusPDH/+0EvhLrNnGy/kjsLCR0resc1S+EdEv6Vs ZBRSc1+diWCWQtW2iaVjqmOwq1zf9h6XFD6N6jRm2zEOQ71DeUqK6/7My3MO 2b/Al33+bKOPFAYJ2FNNJafgaUVFf8kjKVT2j4l7cmkKolxeuWQ8lsKP7B7H /3OcgqxO2binz6UwuKfpTWLGFAxGeS9fTJBCrpwk7q3Cf0Dh6M6UzjIpzB2l B1rpaVBv78fqqvX43u9rslenQdc/s/VzrRRejZLNzrk3DTa/dOhet0phUtqb aJPSaYhKi9I1GJJCXhblzf7n/8IyhX/T4AZpdG1NC5dxnYFNY6uRLZul8Yhp a+5C1AywhNeLlDFJ4zIJmOwvnYFjK/bXEnZJI9upaC2FnbOgW5yXZX543Z6k Gs6nzoKxXcCZy3zS+COkbJG+eRZsuPX71PilcaUj5o/Yv1nwfUC77YSYNDrL W5r+U52DLFWqyYSiNEYxrYgMjMxBydKef91UaTyQyjjwY8c81KSMB9edkUb3 VdmBMco8DDA9/pymLY17J9WVwG8epgoNtGJ0pJGHtrzeM30elm8Jj4RckUZv pTd0je3zwNLYwmJvvG7nFtx9cmwBDtxPSDIyW+c7/biJ5vwCHBN1AW1Laew3 YB60X9e14oNqLYo26/U/5cgYe7sACmEcFmIO0lh51EbGqHoB1FUmaI44r+MR Kvc6ZxZAd4GEsblLo7XHjMu5/YtgnBRygsFDGqm5O+6IrC4Qm8tGJfP3pfF+ jjVrRcsC2RY11iPjK425rQINdMkLJLXfds0zQBqX9tlVq95dIMOWHjKMz6TR otTz3kbeBaJ/LzKLM14ana5Jhd5zmSdnYtuSVSukcYPa8XhXnjkyNqJfGVQt je2COWeeLc0SX/6h4aZ6abSx2w099bPkS9YMj367NLpcrDDcdneWSFUyR9mN SeN/yj31/zpmyNGJ00/CGWWwqsnTxyz6LykTbkrv2SGD2ql2Aoquf4mx0+X6 w7tk8IcIh7Gp9l8SRWPOlLZfBi0Ot3R6bv5L2Fge+nwVkMH41UdUPqdpQk8p cvutKYOKlMv4zuAP6fUUNYZnMmhYe42B0jlBjrBtC7J5KYMdAmYCE28myM3k 4eyYSBnkY98iImIxQWYaX22lj5dBrs+8tqYrv8kmHtqMiiwZPG71T1Tn6G8i UFZDq/VdBseG9jg+fD5O7C8nHL//Qwav1EdvyroxTnImPC586lnHO24uGlHG iTy7aBLbqAw6WpgoiHeOEW2zV5qdizJoRWd7+MmRMeK65UaU8T5ZnIhVS+Js GiHkNVY+OyiLHBHb3sUnjxB6kb1/y7hlMTr05M/nXiMkUK9Gme+ELD7oDmLM Fhkh0akiE79lZPHG5NuA8lfDpFydRtZJXxYXzmgPC7gNEdYnLzv8YmRx68hu E5c7A2RLC0uDXdy6fwLHbSHDAULDHlSulySL7Cu3RPlUBsjvV16f+NNlcVno UVsz8wApe2MR1FAkiyB/tGhTcj9x/iirsKdHFmfitJXVBvuI9Uw2hW5AFiXd FrmTa/qIsbjwyfFhWVSP5ZyVy+oj5/KOcBRMyuK2hUcMG3z7yLGS7XMGa7Lo qa9oOc3fR7oaepMSD8hhuDccavbqJc0sV6JDuORQeO6Zt5x1L6m60BrmekQO e1ts6Vp0e0lWe9X9MwJyeKFf5Ly3UC8J7s24OiUrh5nn58u7+3qIwp8HzJSr cvjJ48TSvrM9JH7HMZfycDk0f3Qw6YlLNxEY0l2gj5bDULPcK9sudZPsfD8n hdj1fM7Y3yDaTSpMR28XpMphmBUbs+CfLjL2OdEuo0AOTSltx4Stugi/Oa9l 1E85XHlfqxZt+4N8Kua55sQNGJO+nV4+oYPIPNfu/sQLGLTnTrh5QAcptfS+ On0ckDdAkqfUtoO0sg/oWYnC+n1x8+dO2Q4yb/VWx0gJMGzguNRSSzuR2sul pXED0Fb5ErPvjnZSbHdQiTcFMDGyS+BWXBtZmp0M5vgASO4H1dqHtBFRl6If zBmATg+LDV7caSOJ9647LOcBlq8+EMKLbSQ44O3bhqp1Pp/PPqTb3EYM4nnp 3McAuTvS81gdWsnar+fXRlgRaf7ptabqt5AIAY8N/WyIN8pMcvjVWwjFxiyl azei7PTx+DLZFmL3lzLfyIE4wbcutva3kKHF9qACHkR1zZUB1a5mUruRozB0 XV7HaOVPhlxvJq85ozlktRHLGjVvfXJpItv8hSr4LyLmGzCxH7JsIvf+ltgf 0EE8AUseUfpNxKBssGpND5HKQre94VQT4bI87lJihHhms5Xmf9ubSHx2VouK PWJC4nYTn8RG8l69JkgrFLHwEe2s2HADOZCjL3XqKeLnLTV/IjobyONDU4Mi YYgS1XaDzPUNxGZmp+yuV4jLkVS1w7kNRPiVznhbDGLyKQ3lyUcNJGuwX+Vq OmLUZcbkJZEGUuC+RGNWjxi8r8dWI7CezH0YmvJqRIynYQux8qongv2NPZHN iCwLg/UvnOpJrGpKUdN3RNsJOk02w3riz3bFA3oRuazHEpMl6snFtII1tmlE R4bKampVHZns91gtZZHHD++K13xCaslRdquJnl3yKKB8WCXzbi0xVNPt/scu j/UJHo7zFrWkNU2oUIhjHTevXMpVriWf7/TdieSRR63AKykiKzXEl11xxUFM Hrl+bsBOqxpy6DTDMvcleeRhAW72q9VEtOVU415deZx58IUh72w1Ub7mkcis J4/XwtTfWMhVk5v2i9pr+vLofOZ01NLBavIpfPxdh6k87je5cbq0/xtR/lV3 LcRRHndmPwtasvpGbga++LL6TB55PyiJXwyoIp/q+B61N8ujiBm3V8uvChLM XRy31CqPdvx6fA9+VhALJ52ife3yeFb8YAM2VhCugz6zV7vkMfNgX0dndgV5 bD1wrW9QHnVYp8de368gN5miRMfn5LH9cTyD2v4KwnmatXt5twLmbA1bKdEp JwFlq4KcVxWwiGOueufvUoK2Q0L7ryngfYYHCWt9pWRmX63w3usKaGQZ1PH3 eym5YhspymqigDRFVw9Pfy0l/BwylE1WCqhsS9VUiiwltbYuMOWugBpVgbJy GqVkx/6Zs0URCuh+wloPcr6SJ/ajNw1+KGBE/Da6uogvxH3Xge1cuqfwQ0/b wr93xSSJb0OVQ88p/BZ6ejIhn5CNM7R7ivUV8d8+awu7ks8kQTD97uthRYz9 nD283JdL+AyT1VeslPBAZaRKlk426VTN/XhhXAnd9S3fxvBnksa3rvxgr4y8 Mb5vHWkzyELGORmuaWXUQcGNL/enk7Ucu8yH1irY1dROH1jwnpwWVFZyn1XB Kg2p1495U0j51ZPmFvZUXOuBuYT5BLLTyCw/8jYVP9unsH8eTSD6ZjFM9U5U PHXlQFVjZwKZs2P5KOpOxRcPnnQwFCUQHt/5pRVvKjIzXb8d7JtAPD6SgOAw KqqefTWzZ28CkWLQTMvMpaLLPj1HWognDxn96EbyqbhQLXfSWCieNDCXaO8t pKL40zyo5I4nZhyii3dL1uMXkwxebYonz4V2K1C/UdEibs1OpzGOzOj1NHX8 oKKKaaihgmkcwet7jjD9pOI+caX1AzaOPDLVcoZeKk7eHrI5fzqOcNl+5Ygd pGJ0laOllWAcOfcw0cRqgoon3eLn85diScSj3uyoqfX80eF7L/yOJSPBe7c0 TlMxMSrWaupnLPEID3gvPk/FubMRkfylsaQ6upTGfJGK33YZOdVlxxL2+FWt 8H9UZBn97WqfHEsMUyTialaoWPM9JX5PZCx5n2Yzv7ZGxVo+psXix7Hkf9hx xeg= "]]}, Annotation[#, "Charting`Private`Tag$12057#3"]& ], TagBox[ {RGBColor[0, 1, 0], AbsoluteThickness[1.6], Opacity[1.], Dashing[Small], LineBox[CompressedData[" 1:eJwVV2k41m8TpUgKSRSSJC0ke5Jkhsfz/J5/SkLJXrJFCiFRUiktyJLsO5Ul u7Rx20XZSSEhSVH2pSKv99P9YeaaOXPOmbmue4vleT3rZSwsLLdZWVj+/4rf X0iOE81V7xWRWL3sZDUpWim52dHuPpi2WXqE2XiSMo+slJ128dAZMJkvo+9C QpUHTLkDH0Nfa6cwm70jqZZztl1hlw07L2o8TeM/Qy4LLD5fTMiHVW8YrI2b bMjDELr6fEARRAm6Jv4cOU2y1/hXzHm+Av0fEdFFKpbkjX8Lc9qWQN/LP9Xz H06SMV+ubx7pZfBa7cOpAw4W5EpFtuRsQgX0bNhmq+1tRlYt0z/rFl4FtjdO /Kf13oQ8xJmsyYAamFe5VOJtZUy2Xo0cd/atBV+TujfHRY1ITrGa0pjnW/jR abPj019Dojb/2f2ccz0E7v8hxzZ7nNSq3ngxYtsIm2wiTdavPk4y1NZ578lu AtHc9M9GSsfIeJdVvGt6M0T5Kk80nTcgKl7PSvNTWyCnqSyH65U+8RZe2T+R 0ArB9p/Cufj1SeULo+UKMW0gtPJ1+PZLemSVUYaEc3g7rDu3qDg9dJSEh+vY jgZ0gPZzg3nxAV3So5xwW+bOBzh9we97kqMukXg/nubo+xF4Z9ZO8c8fITn8 YSPDnl2g7bvhhJClDpnJH+Te5d4NvYc7tuxOPUwO6KvI2jt/go1f9PXKxg+R uuAu5yHbz7BtKDDidIo2uR3xsDZUvhcelaZzinNqE2k7MFbM7gXNUHbO164H iQtHsJdLeh8UHXjCHmz+HxHo2MfFt7MfXGt+jI51McnzR/0xuan98M5X0P6C OZP8oyuVjCV8gdLKOaMgZ4okCnzSCRIdgETvu3xhrBTR+nrzs2zMAEyJjhy5 H8Yg93w7WM6Hf4Vn0ZcqPN7QiWCFJ+1nwDfo6SrakGygRV6FbG3zXz0Erm91 rXP+0Yi55Tsr6TtDUK+8e14jg0ZSWEVvOfh+BwaWDrisphF5LHvz3XMYGtkq a5d91SBta+yN7swNwyzfCXbBBA3i8Znvx073EfjMZ7H5i6kGWTLFajvnnyBl UFx8pAvJwWIOnUHbUTiyLznErBWI/KLl9PqxURASEHXPMgTiL2bRsFVtDNwd 0u519agTV8uXbgaVY8Bpfm7y6PQBojXoVFnYNg6n1HmzS0CNqPiJCjYITgB7 76OciY79RHrnO4dB0wkYsnwcreKyn6yz37Fuw9cJkBjWP5WZqUr6f3465TE9 CTGv8p4x9u4j7wPvFQbtm4JgzgZngR4VUie7jzPtyhRE+azpcrqlQvKcH+R8 ZJ+Gkiq/2YiuveTa9MFF1fUzIJYd8Nz0oTIRWyiKWVCeg7PTB0LytZQIf5z1 mIDXHJhdvxq4fVGRrIR1WjJkKe6yIHjnpSIZ9Tk3bE79BoWuuFZWJUVSwrZN tdTwD3ht2qnHJ69AzLhCOq57zEM9y5nJfh05Us+tzMlmxoJv90eejJuRJC3a fBENl1nwP959QjVRkuTDnV/bI2NY8HGjh9UTkCQD7I+1ZLpZ8EG3+76b93aS +YUNPidMWNFklwmXxq4dROrX75lMo2W4L0RmZ7ufBLndUDxw7Dgb1hmzar+h bSaa9+mlj4+sxCJqo5VF0mric7AgreXcShwoYC9PSVxFSti3hi4ErMQvPw1K XyRyEtXLLDb671ai08PoQVoKB1E882r1IpMTd10b03bLW04kaPKGxzVXoduz Jz9Le2dLVsyK/GLbw4XKMZHm7Os+qlvL/uGW5+bFkgdh3ueW88JhSevx9RQ/ DueUh7vw7YC8titutSqCaGGjFfQtUQH280lls10VwS3eimGWJapg+zckNvWE GBZIKOuVP9WA89XfFLMPi+PKjvMnWXgZcNd4xbaFsxLocEvbUuU/bThd42Uj b7cdLy+K/GU7pgtlHEJHHYx2YlYdbebAfn2QX+vz8LurFFrGh4cpFRyHk5MH pHXOSiMnY+k6MI0hMa5KZDZABrd8jpFICDaH/EDVrhY9OQwfTneKiz0Fri8P 6MYekseFeyuCvZZbAalLnbhjooAmVTxi0G8DZ6h9xWdOKGLuyq8KPh1nIOaJ fKGDvRK220vInLN0hODJ4mtOF/fg3kNJ57jinWAw3c3dzkUZR0y9Q1RiXKCS ERJx/fpe5JyWoF9ddAXWI539931UsP/KlZRsj4vAovGMNeHSPvy2qXq99w5P uL1h9nCLnyoCu3ehu9UVcDI+XT57Yz/6q/LtnDzlA33XlKwgTA3n3YorzM5d B/7QyM47iQfwqIzkn5f5vvCIV+pSTbQ6XrncLJu+wQ/KXDbTd2QAFk4k+5pw 3oU4sQSRAwaIcev1uad2B0Dx5T8sdk2It7cmPwkxDoIt2hzzWw01UHN5XOXu 0BAoaJS897FNA9kM+SLvsIZB0Nay1D/vNVDtPE/eHFcYOFw8Ubrxowa2X+BY 5SQYBuKb/abNPmlgeOr7yIuyYXD/3IBF/1cNXNk1IztsFgb23PFKwzMaeM6/ V/Ds6zAQ0+bvmRfUxKwDfgXrfR6Cf/U/OTEzTTxslbtZRyIC0HlQfpOFJhqX f1eQk4+AqY0NCsKnNPFPmHbpRvUIMHWOVeK31sRDxu9d1pyIgN0iaiorHTVx 05i9ib1/BDQ4X4Kxy5rouTgWNDsTAbybpg6XxmjibiWj6OLWSAi98N3+ZLcm HhALuJ2cFQ3CDE9n/R5NXAhqzxovjoYkwdUejF5NHN5gPq5dHw15xdI3pQc0 8T3bcbZtI9HQxOEUPzesiUVsozP2UjHAEzPTGvRXE0Oi1rDpp8XA7crlB8qE aRiRw+nKkhsLvOEPaAUiNMw1sgofLYuF8DPbDj4WpSGMrWscaYmFRzyUYYA4 De/8cCtbOx0LVSfuOhtJ0XCbRmsSh2ocLPvJ+2h8Hw0rGh9DfnUcXBYQXSNu RMPQ922P7w/HQ30upzGY0PDU14XCf4vxIKoznWJqRkOmXmkErkoAcuudavgp Gso/fHq+VzQBls152nDZ03BDYDV/ODMB/Do7imc8aZhxfrJ/JDYBQuKDz76N oSHvXFJVqm4ifNl/pWgojobGbzl45U0TQemD3bIViTR0lhhe/sY2Edp5MQJT aWjYxyIrdDURBK//qih8SsNGqW13D2YlQpyV9saEEhryD9oH/OZJgjRJ9jrX XhrWJFRU8nUmQYuIxl/HfhqmKHTdMBxMgvk1V6RtB2jI91As6slEEujMTAUa DdHwRdbkeqfVyTBVPqCvPkZDnU9HrB8eSAY0rfzEwaKFmtorLhxNSYYPgTfG ozZrIbeQeT/f5RRYdp2IP9iihfarJQjn3RTY5fZXP2CrFi5ESUWuiUgBb5ML z67u0MIbmYupzIIUkNh52stKVgstT/m3u/xMgfNlmuwyoIW3Q1XeF1umwoop VqEycy0sk+wtHDF6BHM5EYEDJ7VQZbN7hY7DIxh2lGVbeVoLt/gqXKu+/Aia vpmO6thq4dyVezmz8Y8gqquoqvu8FhbHuTtaf3sEMhWOLnM+WqggNKrywPMx HA/5+FY2WQtzln/svpn/BJhHnDT0U7Vw0CvfcbrmCezn4ihyf6yFXqGH03y6 n4DYLaWk4gwttD4vv3yYPQ1+XLrvoV2whD9kRZiAcRp4n6Jvs63SwojJY19m ONLhsVyud9w3LSTnO/cXeGXAOYHx30XftbB9+sLZxNAMUPoj59Y8rIUnNLst cjMyoLQix4FtTAsntUNLVbsz4MPxnBP2c1r4l3Z9+q96Jqy8kq2gzElH3KMT fnX1U7CrfTpYL0XH/K2N1vPlWSCT9fPUN2k6+jJ0DYY+Z8FUyO5PLLJ03Fm1 eG3ZQhb4mD5tVVSk45FWB+OKvdkQMZpZGrmfjtuC/927kZ0NbwQyo6wP0bFZ iEpSNMgBSct0nQVHOspsyP2ddSoX3sSq5kycp+O9qKJ0XZdcsPlYt3bImY5P c07+5L6RCym6w20tbnTsFOdX607JBTGQNnlyhY5VPNfKGr/nwnqRLFv9ADoO ib1N07+UB4WG6rXM+0v5x2tbm+7lgUFog5R68FI9xdN65+LyIHjV6M+dYXSM k7iQvLoyD7h+y7r+i6FjWBq/wkfefFj2PtcnLZOOh+95cK/NzYfEtZr9cVl0 HP7gKlVSlQ94uIX2IIeOG7cY3g7uzIcrlRMrrhbQ0engn7xMtgKYy1MMMHhN R42zHs2lxgXw635h5OJbOvrpxW6p5imErv9e5B0bpuPAk+S7HZHPQPNIygm3 n3TUPfGZ5vnsGaQb3P/3YJSO0pbDLOatz8DTwvpg2yQdpZpnl49wF4Gw29p+ vXk6CubXXt1/qwhOJJxZq8vNwLokb9lrvs+hNNWg6PwaBj7QQJKa+hx2ZoDZ /bUM7DibrL2x5jnMFQqkNQgwMKuLf+W/VS8g/G0ZHhZl4DmWPYKVD1/A+xkh p4OyDHyzam/yRfIS1OfZ1tvLMxAmvdXpgy/hEevYqzuKDDwo0XzpEvcrcOeq 5qjdy8DHlMB+EbNXICDuEk8hA5u0xp9fYn0NBofrGrSOMtDnWe0+qZPF8Fqv 0NVKn4HxkSOBewKLQeJEgrDvMQaKrvYOrHpdDFOW7jYVRgzcI3Uv7PLGEgj1 EP+nYcnAbP97w7c/l0BLsuduuMDA/slMVhnNUuBjefZC1Y2Bn4K12/lNS0Hf dJyufJGBKu8bBJjupdDGb2e+24uBW6P2yEVmlELHzWP3N95gINVT18glXAbd tnLjsyEM5O2O7g3kKAeRSocrkw8YWKw/J/prezmYiT3mHH3IwJxAvt35jHLo +bBJfDCKgX3DCzfc/cqh97/V+m1JDORbHXF9I08FfN01WJCTx0A28Zu8H+Ur YfvtLRqZBQx8d6pub8yJSrAZMK1//IyBYdrLOIevVsJQTOvXuJdL856uv7m3 qRJ+cJetDyhf0sMn7MWXi1UgZT+fdLuSgR9j73iYJFeBQ/VeWd9qBp58d2DY o7EKRryzKK86Bvqv21afL1kNv0ajPc60MPBQ2xxbxGA1yBzqYLNuY6AxxxfZ jA01cP4JX/DJ9wzcnbP/q+9/NTB28k6aYScDN/prdsRl18Bks3snvZ+B1jM9 Jb9vvoG5/KNq4hMMjDpT7q91sg64VJQb1k0xcL7QcWJ1fB2IvRY+yT7DwHDR LZm/euqAWfnlxtBvBt5a1rtZwvItRLa5vc1ipZD2p0pN7uI7yDphbJawnMIL KuJtueQdlHerjwazU5gU1bk9hLMefgxwrHPjpLDaroY8TKwH1elI4/1rKVQK sbDq+tIAOpe8R6TXUXiyplbuskojWC5YeosKUBib0JvXHtgId9mlk1iFKPTW FQNXsSboEij5XiNGYXz1jaa1PU0wFpnk9UKcQlmaVSIPbzOwifpxZ0hQaO+0 nWsbrRmkt+vKB+6kcGj/x5SKzGa4rNzvYSBH4b2mGx59gS0Q9LJ6FUOBQq6j k1R5XQukqGfE7FWiUPiu8Le1K1vhHcO1VFiFQoXRvCx5v1bYZLhiZR9QOBia 3rAssm3pX/IjskWDwuhPgqNf+9qAYdG4q5JG4e73OlSudDucs4048pii8CCf 0g/tN+1QclEq3PHIEn+/ni+0C3VAy18eSYujFG4/8txI1bUDBq9OvtTVp1Dx 5S4TleYO4Ln9ukfRkMLOlw1TTqEfQJwr0WmbEYWF68rXfJv7AMpBN5dtMKHQ /EHg8nOnPoJ5hM72P+YUyvmk5+1V6wQXEcXnwycptDHQeFaR1Qm3EjYc/GRJ oWVUkNmkRBdkPel1LLWhUK9jYc83kW5YfO5SeOschS2H3tkcxh7oXpF3L8mJ wri5g+LTfT3w0mD8VIkLhde0k1zf3vkMrmPneWbcKTR1lLyR7t4LR9WzB9Ze ovCzM9+XnrZekPH/9XK3F4U6VgpGvcp9MLTD0db6KoVjY1ZRmzn6ocot88C1 axRe5yhtb3Trh6SK4XWxNyi0O3tWW+F7P5hZ2Je2+VE4WqCjJvj5C6g+TXs4 dofCnIsreiQtB0Dw79BZLv8lv8RwC68aHoCWh7ZCWkFL/JUPn/dcMwjZA49G LUIoNMg+tqUwYxD8FQarvB5QuIJHcPO6I9+AarByyY+gsL9fW/5p5hBIiKQw G6MotP5+KPyx7XdYZv9FdDiGQltX3x246we8Zrd8K5645AcVamNV/TBE6icm qidTeJ9L5bP10xFwT+y9aJy6FI/2v8gZ/hPkDlhIhKRRGORZqeR4ZxRSXU2v sOZRaFHCJXF6dhyul0frbyqgsCmYpd08eAJO8nZJ7ntGoX6D95ezcpMgnGn0 3unlUv3fC8lZl6dg9ndEpv/rJTwJUaw7Jaehjfpw/UkJhcTwb5f6x2kI/HJc trecwj8Pxn3mNWbBQf4h+3wlhWGL3yMMf88C82p714YaCh3ETYVJ7hxsr+fP U6yl8KXhwq1rH+fI8o0Gt4+8XdI/jaVSbcsc6bULNXeoX/Jf/2297fazpORZ i5Jf49L+MY1XTRXMEA+9o30lrRTmPc+O79CbJscSgoo62ylUJarL+R9PEYVf jQEzHRTWbXyufGVxkvy8o6Mq0720j2fND+iWTJC6jgDegz0UWk1L+NG3TZAn 2+oHrXspTLXdT/cJHieWZdqhsQMUXrw0qCzsOUZgzb0zLwYp3BVv9HhxZJSI mNVB+9DSveHXULk49ou8n2OOcP1cugeV+5rj1v8k2nIM+uXppf4yT5oTO74T lvZ2VtdZCsWtqz4dlfpOnl2yLnH4TaFjMGv2Nt8hIl7hu9dkgcLpwP1Xlx36 Rj7Y8k/pLVI48sn91IUXgySQKyXnICsTr7Lfrf4gPUj+HKuQVGVnIq+9LLet xFeS80dvUJ6DiSkcFmqcTwaITXx/kiQnE8V55N+EyA2QliFWESFuJh6+veB6 9sgXku6FPHP8TGwWCRZllPSRk2JNdaPrmVh+xe+H8Ok+sr7Kwu+bIBO3bQ76 q7a6j1znucrSIcLEmzC5p86ql6jk8xQ3iDJx0nZEY1igl/wyjLtULcbES482 UHdDPxPjxOKJQgkmMvvb+ZkuPYSXcTj76XYm5qy6pd419IlU/+h2SN3JxJX/ 6UyOn/5EFJTmBx5IMzFYpDTjk0034axR7bigtJQf3Lo9PaqTlDjUhTooM7Hx 2OqdKNdJXHmNdU+rMNHnrn8US+1H0mt0qVZPjYkF0TenvZZ/JM9Hil7JazFx vGKrikBkBzkXTHlIMpiY+x/7vnStDiKh3KG0hcnEEcFyR7+J9yTo6sxT3kNL 8z2O5Sg3eE/s+PYkjOozkUfW7ge7fDsRLao0/XaMiYrHjysnjbSRNhMDoc+G TLRZsSrzV1obwdQLIQ0mTPzAz5FpItlGBFXyfJ+eZqLF/bGry1VbSUO3hkaq NRMXFA6aRbK2Et9rzQsxtkw8n59x2b2uhYzVjbn7OzDxxct327stWkiNmewZ hwtM/OMs46cV0Uz4Ttu9inVjIrV8tjj4dDMxt0vkbrrIxFXbBcWE5JrJjMu6 PKXLTNx0YffZzHdNROL27J8FXyb+Kyx418HXRJwC5A7L+S3pLZTG+ra+kbwK ORNveYeJnofeHX5zsZHoxXbRagKW8HnFLko3NxCfPOIf9HAJ/5CcvGhEPXlX NNdTHsFEdq+3PhWH68mGYnn56SgmyqfuaOhjqydZNcntRvFM3C1auc784jvy qdtPdOsTJtJcYyXVzr4lqhy6OYUvmCik2hf9JaCW3OK6s2zo1RLfPSN6Zcdr SfPacgPhEibq3GwKDRarJXYiSr+9y5moyt97YvzZGxIuL6jJfMvEo0UZljy/ aki/8tEHnvVMPMIaY/C5uIbIqN0dzGxkYlrlw0n3wBpSzZi/u7ZtiU9ddo9v 8jVkyqS3tbObiazkDU3vWjXBU0LbuT8zcSxm6+7u49Xkno2eB/Qt5f/8/mbV 7moi7lwpkvKVidB87RzVVUWO3npi7fiLiTN5Ulmf1KtIzL2+ovgxJp7RrQ/f JVRFhoKEV7VMLOHJc/FePlVJfKL9s5RnmTiwSEuhZ1SSdwlVLGd+L+kdFUKl +1WSDY/+6UX/ZWLl1oqsAKtKYpmxN7V+gYm/peXVfmpUkqwcp9nFRSbWullY VW+uJP8Djyy8nQ== "]]}, Annotation[#, "Charting`Private`Tag$12057#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->{{3.871451765926613*^9, 3.871451798543663*^9}, { 3.8714519021153183`*^9, 3.871451924174852*^9}, {3.8714519888957148`*^9, 3.8714520952631807`*^9}, 3.871452229717372*^9, 3.87145227296347*^9, { 3.8714523313861933`*^9, 3.8714523683339653`*^9}, {3.871452422090096*^9, 3.8714524296298027`*^9}, 3.871452489567154*^9, 3.871701819062409*^9, { 3.87170191576405*^9, 3.8717019352832737`*^9}, 3.871702249025951*^9, 3.871702286187069*^9, {3.871702343141347*^9, 3.871702398451168*^9}, 3.871879840386385*^9}, CellLabel->"Out[13]=",ExpressionUUID->"949f19ad-a2c0-40f6-bd8f-866cc908975d"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"\[Delta]0", "[", RowBox[{"k_", ",", "q_", ",", "r_"}], "]"}], ":=", RowBox[{"Simplify", "[", RowBox[{"ArcTan", "[", FractionBox[ RowBox[{" ", RowBox[{ RowBox[{"k", " ", RowBox[{"Sin", "[", RowBox[{"q", " ", "r"}], "]"}], RowBox[{"(", RowBox[{ RowBox[{"k", " ", "r", " ", RowBox[{"Cos", "[", RowBox[{"k", " ", "r"}], "]"}]}], " ", "-", " ", RowBox[{"Sin", "[", RowBox[{"k", " ", "r"}], "]"}]}], ")"}]}], " ", "-", " ", RowBox[{"q", " ", RowBox[{"Sin", "[", RowBox[{"k", " ", "r"}], "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{"q", " ", "r", " ", RowBox[{"Cos", "[", RowBox[{"q", " ", "r"}], "]"}]}], "-", " ", RowBox[{"Sin", "[", RowBox[{"q", " ", "r"}], "]"}]}], ")"}]}]}]}], RowBox[{ RowBox[{"k", " ", RowBox[{"Cos", "[", RowBox[{"q", " ", "r"}], "]"}], RowBox[{"(", RowBox[{ RowBox[{"k", " ", "r", " ", RowBox[{"Cos", "[", RowBox[{"k", " ", "r"}], "]"}]}], " ", "-", " ", RowBox[{"Sin", "[", RowBox[{"k", " ", "r"}], "]"}]}], ")"}]}], " ", "+", " ", RowBox[{"q", " ", RowBox[{"Sin", "[", RowBox[{"k", " ", "r"}], "]"}], RowBox[{"(", RowBox[{ RowBox[{"q", " ", "r", " ", RowBox[{"Sin", "[", RowBox[{"q", " ", "r"}], "]"}]}], " ", "+", " ", RowBox[{"Cos", "[", RowBox[{"q", " ", "r"}], "]"}]}], ")"}]}]}]], "]"}], "]"}]}]], "Input", CellChangeTimes->{{3.87147198154263*^9, 3.87147198661499*^9}, { 3.8714724354921618`*^9, 3.871472711815948*^9}, {3.8717016569941483`*^9, 3.8717016778184023`*^9}, {3.871701709345482*^9, 3.871701764979887*^9}}, CellLabel->"In[14]:=",ExpressionUUID->"7c784856-3e57-4d9c-b11e-c2e2ec1a6a98"], Cell[BoxData[ RowBox[{ RowBox[{"\[Delta]0", "[", "eIn_", "]"}], " ", ":=", " ", RowBox[{"\[Delta]0", "[", RowBox[{ RowBox[{"kIn", "[", "eIn", "]"}], ",", RowBox[{"kOut", "[", RowBox[{"eIn", ",", "myU"}], "]"}], ",", "3"}], "]"}]}]], "Input", CellChangeTimes->{{3.87170198693193*^9, 3.871702060365528*^9}, { 3.8717022045946074`*^9, 3.871702204745714*^9}, 3.8718799923464813`*^9}, CellLabel->"In[19]:=",ExpressionUUID->"60e07129-1b9d-42bd-a9cf-e503e1edf86f"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"\[Delta]0", "[", "eIn", "]"}], ",", RowBox[{"{", RowBox[{"eIn", ",", "0", ",", "50"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{{3.8717020712166443`*^9, 3.871702127630427*^9}, { 3.8717021675009813`*^9, 3.871702211613615*^9}, {3.8718799990659943`*^9, 3.871879999384315*^9}}, CellLabel->"In[20]:=",ExpressionUUID->"d79326d6-b593-4472-b157-ebca02c71547"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV13k8VF8UAHApS6WihGQduxBCst0zI0slSSqRpaiQCslWluwkIaXFUsiS +lVkjxcVUkQhJWVNM2OdGYxsv9s/M5/vZ96759w75517n/TJC9anODk4OMTw x79v0o3FnEyJF0aqIGAryzVLlPMqSZ5zu4GSc3OWBVbMEnUB/+UqumWhdvGz O/gXZ4gGde8z3G7PkOIbDs1t0zNEU8Jn8+kzBKJUpmVXDM8Q7/UiKkfPfELs Skmr1sYZojm5x/vPmV/o05xczYfEGWJvDY/l7zMTqH9tZ9yU7AyhsXxyWmhy Alncn5CLlJ4hEqScWmUMJpEkX8b2LRIzhO/Jqks2byfRj8qRwL3CM8Tu315v SzumUKPz0MX3q2eIgbHeEwHTTOQzk5SuPTFNSC2Wpy/qsBGM7f75rHqaaFmn s3qVAweEzJXY5dhNE5QbJq/zD/DCGiML/egKFnFq+991Guv4QUjUXCprO4uw 6Il5JCLBD5EvdS0uq7IIrZjNhhzb+eG+2t4l220sYtUvdc9PVvxQv82OJaLA IrITzzSfS+WHHlkjuSIJFvFrrCP68VYBiAjMjxZZzyKOPXm2LKO8EYqSTOhC 40xiv9KpKSEzQZDZLbecXcwk/l67VN17RBAaNy3GLz1nEgXjUVG5pwWBVjJx 1v4Zk1j1Mm+LZrQgtPg8Ut3yhElUGf0h738nCJEVf0tyHzEJeZuzKRHGm+HR 2w76/B0mwRHqvWMSCcE5/mjFJ2FM4r/+q4tlB4SAwdearRnKJOx3pzQGOwmB qU6Yf1UwkyhbXWK/NlQIikrn1FuDmIRnKitCvlYIHu/bTeO6xCS+Ffp3HDcQ hpv5ngVl7kyiuCP40ntdEVgYUeKWtMH5RrmeHNgjgqtnj3OpNZPI1Nl3YN5O BBwL0+z2H2QS8XdElFSDRaA3a5dGuCWTcDle8iOpTgQcTDZ4L5szCcGhP8a2 e7fA7bqiZHMjJuHHPLRxxF4Ulh+L64oo43xy9ZaXPUUhnyPEcVCRSZw8LD0q EiIKkzvPaT5XYBKW5ePv9j4QhQXBH0OWckxC4XJc4H9DotBr5Hr1gRST6OYk +i6d2wrXioV5bgkzCf2Nys9WhYpBxOGpXw3cTKJ1hd37lhti4KH62qqFi0k4 T8UN3n4gBqNPCy90rmISkW1UYaV6MRDIm6ukceLrEwvD9nOJg85nxg2lZQbh vFbJ+vY1cViOnqplzzIIxl9bT6d0cfizg2Ijih1Ji41WfCoOXCcrHxjOMIjC 93+qqlrFob0y4EQcC18fUyDzS0AC7nKzUrSn8PWrFKcV7kiA0U0Jo34agxBi Hd0wVSAB2sXHEyWwCwZjlKoqJeAc740sByqDaKkfcbDokYDJPY48/SP4+qv5 DV4SkqC/pWRpYQjHW5S/U5krCbU7NkrG/2IQBmNHisNLJcHCs/Hj4E8G0foj +uO+BkkgrnKYImxG9W+OnyOS0FD6KmP+B4OQMPyidXWzFDT+fDUd951BnJlP yXhkKwWX/Y8ML3YyiFTL0TeBzlJQ99O8ORj79UMT2n43KSBl/TBf7mAQIuZs nRl/KbD33LOZB7sp1aHNNE0KUjVWLCh9ZhCskbIZ0SwpIGze1Ja1MwgpfX7x iTwpeGrCljTBDuivd08rk4KanWqvT7cxCCU1xZV/OqUASQjG1bQyiCNXryq9 6pUChbPFVkexwzu+H0galgLphspqRguD+B50PV13WgpSiuNC1LDjGxnacYLS ME9nN1V+YBB05xo35UPScKZ+3wqp9zjfl0I3luykwZbpbNHRxCB283iVfj4p Dbxr9EzisdOfkjgv+0iDVvkAZb6RQVj8jbn/IVkaMju+hU014Hz399dl3ZWG MUanRQl27gO9PxcfSsOxK38/+GEvmI5pib2QBvGZwN+c2E9vWrd6tkmDxZ3M rO3vcL6/i1jQLQ0sSXmR5bcMgluPa+vmPmlwNHTa04bt2Fd+pmZCGs4/Lu32 x47fIZCYPCsNnZIGupbYZdEeL08tS8N+P9ND8tjrVcVXrN9AgpyjRG3PGwah F+anMCBEgpS0+/yV2Ke/fNpfJkGCR6SvUnewU+SVfOPlSZCJlCcDsGsDw+85 qpGgpWF/qD027WPPa00dErCl51sRtpCU9gi3EQkMLEZ/yWFfaBjZ8Ww/CTa1 R5rP1uN6gCdnVY6QoGOVFbsPm7/aK6fQkQRk1YHqj9jO2to98mdIoCOlklqF /fzZ3MbcCySoviwZ/hibQ7l2r3QACb48+i86Hftgbnh4ZhgJAj9+zE7CzpYw q9oaRwK14XNfo7EZd9Yy7iSTQOhptFwoNmVTm5LQPRJkFPAlBmLfvJ564mY2 CcxkZgT8sId4jt3lL8Lz365X7IutFS7efr2EBEt5bRcuYUcu9POufUUCcaXi fQHYnX55EPsWz1es2zQYW37KI4CrhQR5TwxORmL7nd3+PLyTBPc+fs+8jt0w zBxZ7iUBr9Z/i3ewhZ0rJIN/k8DBuSQ0D9vt+5Wjf8dJsCt1RK4Mu8KGfMN/ lgR6X82nGrF5P3E1spZJUD/dOdCDbbunecmbVwaehiXOT2EXvEnUmeCXgTUt PgZr8PrPGR4677lFBmjMiDxZ7L0VwnlUaRlY9/mNHhn7nuaP3tPKMhDPo/3X 6V89KJzaf0JfBsKbKpdysOMfKkX9NJaBFye7TN5j92wdf2VvIQMrvXVeTWJf 4fdXOeKA4zv26Jni+voYr+/65ZQMDNtvN/HFFufiSLc6LwPHeYfDc7Fr52LX 7guVgWTm/fS1uL7X++43boqRgQqb4iAKttO4wGWTJBkwL7RJuozNMXiPhh7i +x9fOM3CtnJwItUUyoCBz0olLfy8PPwqY6dXLAMeLscU/j1PlI9P3mu9kcH1 E9/DgZ/HiNLaAqVhGZDo+4E08PPasT2iL29MBubT7ZbCsWUfm4nIzsiApIPy iq/YbzPbYiR4ZOHey83dUfj5544dOL1JSRY0u9KpS824v3DmZyZpyIJ8oTz1 JO4X+VfOdq3Tk4X0jtfa77HNvVkmvPtkQZ2VUpX+Ea+fHbfcoqcsHBL6lOyE +5GROt8M1VcWOnXJ8q3YU1wbG7uuyMK71R/eGH3C/+cLcffnCbLgYdYuLo/7 mxyv9lOXJ7KwaO93Zh3uj69LXbSb6bLw2NpEGnUxCN9r7tzlTFlo2O9U1oqt cOLC15x5WeDqC3Jx/sogEvkuBwavlYPs/vDV8d0Mwt4lpUZ9mxy8OhqdNYP7 9wx/nUmahxws5J1v1u5jEI9/NwhF+shBS1iC9Qi2w6uPI15BciD8YxPn/X68 Pme64/bGy8E62z09vIMMIrl2omWxUA7ICm3JS8MMQsVT4ogrVQ4uN9SNWo8y CJfGy6c13OShMPClfd5fBuFqIG85c0EefjEWO+/O437zok272l8eRKLXXb2x gOv/vhyXSYw8kBYcz11dYhDnL3zKsc2Th29ooTIU77dBwjL9oUPycOJrxuLv NUwi5UyzfauzApQXWfKfEWcSqT98jW+6KUDQIZG4bAkmceug5DZbLwXYcEjJ uk+SSdzR9/3bH6oAXb2S306S8Plkg8Td6UwFuKDj0BWBzw+Py727xHoVIIon 8LyOJpOo49ly8OwxRajvVxM/tYdJ/M5R2/vthCLsD0tlrtvHJPhgt7GZhyIw tyoVVlowCduAC9oylxVhbQ9n+RYrJjHx592WnnRF0L3geXXhCJMQb/YZ2Nun CPGfLCb3n2ISgQkfLyqfUQLVEFk5pUicj+KA550LSvBk7KK9ejSTePt29hR3 gBK82150Vy+WSfAvkmwHYpVgktGmaZvAJPLPBRrce6wEfr7f/5anMolOS3mu NeNKsOzHO7smj0loCITdpvoqQwybJMfzAZ8Xeb8qNl5RhgGOZD3zFiZB4VCr zo1Uhqj1SpsTPjEJm4meX06pyqAJt8XFOvD5q2WnUleJMkRGXbjl0MskXsVN VNczlMGqM3H89CSTMOd06r/vtQ04f9FC7oqwiPa50ouBAduALy2ZrbWVRdhN 8XEfDdsG/YZhh76Is4izfVXKG5O2QfRdz+ciMiwisVbIN/bZNvjBrhBrwOfr jqBW7kvj2+BUGNnziTGLcGYaqlh6qkDlYCDHE28WsW4jR1uHrwo+nxlKDfuy iCr1+ov2wSrwUVa9RjqARQieN612S1SBwvkS70chLKLpj+XeiOcqIB+48nvX NRah/tPJrYKlAm9O8ZoM5LEIjvdXc0nBqpCq+6Et6xeLeJj5Tmz2uhosTx0c /mg/TaQfV/l6+LYa+Ps1b+hymibuiN5MfpmpBo4j1CcDLtNE4m1nbp9nauB1 O9CI23OaCEqcnxhtUwPt5ycq/a5ME9YhGm8GNm0HwSbDLwsZ08Qqxwz31rvb 4YzPe+Le4DRRkqjX89laHaavtqRMB8wQJ++v56o6og5BPdrF4cEzxMaCAbWH dvh3xxOPNobPEF518eEXTqpDjQcfp/61GUKF9V2Jz0cdXA+Oez3NmCFyj10O MEnG9z9omBF+M0Okyr7aXPFJHfJXb1Kb2zBLGGskoawv6hDZa8T5U3CWYBi6 ukd/VQdVOaHAd1tmCaujfDU2v9RhsN3KLF1mluCLP+46Na4OIYfvqrvvnCUi JxaKlddrwMOWqKAQp1nCt8rQKsNCA/Rt8//GvJglSu0aOb9ZacA7n+Nr1cpn iZm/VqWChzVAMO/WYNerWSJQ31U0wUEDYo5W9Ko3zRIhr+KHgs5rwNBupQyu X7NETO3XANskDSiZzrLZvo5NNDme2JaaqgE1fiv3c2xiE2uWab2f7mjAelXo +iLCJhLQEsXsoQYspuQkhMuyiaTXsut0ijUgeRtJekmfTdyr9364qUMDXqWz UjzOsomek/OHDnRrwOT5yi8nvdmE2Moo7ms/NMB6e9kZB382kWl85yznsAac lFgVeCyCTeS8rdWemtaAOXnDFs/7bGLI1fyPyl8NyFPV1/J/yCbkuT7fc1vS gBdj0i0R+WyiwGR4+Re3JoRmxkbklLCJJw1rm1uFNaHotl/cwgc2MXb61pU1 YpowUprNLfKZTajxSG43ldKE2dsdKdrdbOKFmWZqjaImqMW4NvgNsQnGSLXp nIom+O2oc71HYxNasSZzWhqa4MKQ4ng9ySbKmmwdn+zShLBreVsFFtnErNsA /x9DTThwMT3FYOUcobva840MRROmHmiz3FfPEYGF05ecTDUBxj7o390wR1Tt CVW8v1cTfO6XuDZvniPmqbw9XZaaEHVK32Nx6xxhEJ9yfeMhTVjb3uP8VnoO hSiLgeVRTXgbZfj8+tY5RDQ/YsTZa0J33g6Nw5vnULFIm3ewkyZc0w5Xi9ow h3JP/530ctGEwetcD0tWz6F4zgMTR89qwulHttNrl9jIRo9Nl7usCRn5H98/ /s1GtMK9w3X3NOEgh2JObjkbCcZNfJ37pgmq2yK+PbJlI3ezXTXutjuA+mdu ZWvaLEov0Cg966EFPs3rm3YyplEys+aql782xDzau0LgBAv9fnzJz81HBy53 UVxXcTPRW9OUO+HhO0FdIfX747IptOLA94EbYbowaMewfV4wiZpqD8v4RupC yeIotT93EiWptbvYxupCefLGFUIPJ5HU+qYhqSRdOBRo+jrq7iSCltLfL7J0 wc8q2y8ifhKF7UumfanVBU2OtY6znpOIw9ycIbyoC8nJzKAa/CbOQS5b8SBw F0R3HN2FkieQ3e6R5u7gXVATZsZjHT+BXpqJpAqE74Kui6qnPCImkJtlkHxE /C54fH5HU9GlCdRub7Tv9P1dkCjUPuZlN4Gy/RpSVWp2wQExqOeUm0C7n3Qp VHLowekGfSut2nEUKzy7/3OMHpRvfmNuwjGOUpuaBuuv6YGpkY3k6vkxlBV4 L7Dkhh5kXX61u316DJX1GD5KTdOD2mzni+fpY2g4K3LhSL4eUEVnST+6xhBF cWNRT4MeMPvs+sP/G0MLuqq8w1z6IMtj4T3uPIZ4aUsZnav14XaZ58DO42No 0/22HQ3r9KFx9W/7qKNjSHnxolP+Zn3Y47TkqGI5ho7VVZW5y+mDgln4mcf6 OP4e81Pju/UhdDH+hqvwGPKyc6mfjdCHE/ntj+vaR9H6LFqfQaw+8DZ8PKra MoqeDHovX03Qh9ql0nMZTaNoxDPMgO+WPrSM8L+PJ0aRY2hGmVSePrjW7pi4 +3QUWeR+fbynSR8WeLdExcSPIsXxfTfv8xnAlsgimwSzUdSg+eVFH78BsJV9 SkONR5Grv12b3GYDsNHcJu+PRlEWh/u65+IG0IkiVXx2jiKhTdExb9UMYJTP O+yOwihapfv68piVAbikCQzn8I6i/qtaruiWAew79L49u4WO5IXWJ3rdNQCD hJYUmWY68ng8Uv4wwwAEXqXQ8xvoiPX53tpVeQbgnxFsV03QEa/sipKmMgMw a/n5h6+YjtQaWlZYdxuAVUpSjm0aHQWtOZPlutUQOg2a86+60hGRCe9vSRqC 3suwIq8TdLRqhyizQcYQ3oxPz510pKPr9i2mSiqGsFW+6dxBWzp68GTH+JiB IfwsX7xw2IKOGi05DP0dDaH8odT3WS06Erx593vcQ0NIeNDudJuXjtZ0bmr3 eWQIE/9V6Ilw0xGHcGKjfaEhuPyYKUlfSUdj98Jfqr4whH4/l6CnSzTUkH02 sf21IfAaZMqNs2gooNiQsqXPEJ4OvzhH66eh3vb+wgIJIzglfLasvoaGOjYd f5BMMoLb7mXLqdU01Hy463aQvBHEOAc9d6+kobJvzREWakbwN/YTWbSUhpL6 SxwmDfH1d+9Npz2hIcpUlICugxG4VihqrUqnoTx+5cDG+0YQ/oL/c+oVGlL7 fYy96oERHDVblokNoqHy6jh/Sq4RaM9cWRcSQENNp6mXap4YQbmSVZa3Lw3R XhX4lNQYQZZ2Y4y/Jw2puit4Zv0yAo7jz6oXjtPQyzpZJ38ZBAN1ARd+IRoy SLP5+VIBAcmye1naiIbeeUY6MLYhIHdH0E8b0FCX8JD9OS0EPxfjWmZ1aWj2 XI6tiwmCpmrZeG1NGtITJVkfOIMgTlvWVlKOhup8JE0UihA0FvBtfcBHQ3+n J5LEniFwfVd40XgtDWkFvv4hUILAIb278M9qGioIPeG7UIXgW2x8oS4PXp+E nJz2Znz/0Pu28RU05JynwImXASL0Rm4Vz1LR8mia0x9BgK1ptv2JQ1SUrhbG NSgEMFl068TZQSrS9XIr6hUB6PJccXvPABX5MHVnP4sBvOf3FlrbR0W/574l 1sgCNFTsOJTdQ0Wt3GK1KVoAj6bWFEl9oaJMqQdihjYAL+vdfW3eUNH6eI0m 1SMAm4KPd7nXU1Eos/6ihC1ASu/vsrA6KnJuGG5etge4zPKfKCaoiOS5LbDe BeBWVYGU0isqyisv6zS7CPDc7vJt+1Iq+s+yJdE6BSAw68f19gIqkqhw1DNO BejPflMtiH1DenJ4x20ArgdGZsfyqciLtdFw8z0A2x2LPr8fUZHmPVv614cA O9eLcgrkUFHZ8KCZwwuAPZO9snkZVFRz5S+HWxvA/Fev1vc3qWjm2e/J8M8A JlV3HZSx1Qc/92V0AGixQ10TUqgod0/R6y/dAJqjvzpskqkoXuh4GOoH8DZK l5xNpKIjz2uWhRgAT0U1HcLiqShpsHBCgwXA2JH5czaOit4L3f5lMQPgu/nW Oy9sg+DzRPhfgO88JcTpWLweeyVDxznJwKn3wcQlmoomBsOW3m0iw1R0f25G OBUpCp8b79tMhpCDgfPK2Cf3Hvs5L0yGgladvMqrVNT1XKNWQ4wMuz8NMb+H UdGr4IHgDFkyFG6JslYNpeL9Yveirza2/cYd/FeoqH6v+tiNnWRI0LayLL5M RfPBYr2Pd5FBdWDj08PY54dYr/oMyXDAW0TjQRAV2bx4dMXClAwiFlSd3YFU JL2PZ0HmKBnMJ+TsGv2oSKvT+LPoMTKo5+6TCcc2dQorELAnw1PlvWxDbI+L czbLjmTYoFxUX3GJil7epz/9fpoMvm18b6p8qahBTjGy3Y0MKnpcncHY3c9c 7Zo8yOC1IW2UjL34ppe77DwZ4pW9lVou4vFHPzkl+5FhUSni7YQPFdn68enE BpBh4kjjWBW2B8cevtAgMuimRwvFYN8QrK/wDCFD17iXCwm72+ClgHk0GcoP 0DpdvamI1jA5YhRLhk0H5oZ3Yi9YqdZqx5Nhzj1qYi229Kk8D5lEMoSekhwt 88LjX7/zZukWGeRECT8R7CvCnXen08ggJSdixLxARYkPBbxG75Lh5OiGuVbs ktJ4se8ZZHCunjaNw25AjYy2LDI0Lnh3n8Hufr/yfeNDMnCfK7Qzw17ovXKp 9BEZjJLOqq3GXu9Wue9JPhkqLGND6OdxPoxp6ZxCMihZR75qxTblvtCa9JQM OT7Gy2nYN9ROKHiWkqH67JYEbezsiozFk+VkWGXjtlMS+yXl+5djlWSYRtPN q7G7jxwKM6shg5nNioL+c3g9+m4cMSLI4FEtPtmKvejxUUW7jgx8OcXiNdik UJNvpHdkUAuIkk/H1lod/mxLI66nva4c17FNb9ZG8b8nQ9LpxVch2Lbi8/Y8 H8gw7JRt7419Nn+n5tJHvB6Gj3pcsUM0fHmnW8kQHGBrcAw7qfr5T3obrq/F 9cGW2NkmYy8HPpPht5JYxm7sl5+Urn3rIAOl9ct9/X/Xy9Q9+ttFBmpi5BfN f+P7277e+o0MhucMN2z7l8+Hie8GPbjePslayv7LXzJm2qGXDONlJ25I/Juf jwR/6C8y/CK2ft6C3d1QqvygnwyE1OXNQv/iie43qRskw1Jhge0m7Bvnh5wG hvH837XcE8D2qL8ctPIPGeZ9BXv4/8UT2nRLlkYGE5t8kX+/S3s8fmYyiuvz 1gvrjdgLNeTm0+NksF7lFCv4L57At6GYSTLUcfyoEMYuOeW1XMAgw2T44cGt 2ImVPKLNLDK0i8xxS/+Lty5Liz6D63eYRVL4F++EzgG+OVx/2f46av/ilba4 q87j/O4/B51/8XhPRVou4not/gToX7zjC5kXlnG+9lw6e/7Fe36zMmkFBZYf hEva/Iu3alvHi5UU2CIWuOCEbfLk2GoWDwXa5+9dD8KW4piS2byGAopeKhD3 b/xDsUY6fBRAu1YO3sEuni+7GMBPgbfSh2aq/o13wDLx7kYKjHXonGrBds8Z LqgSpMDRldp1ff/G2yf4c0GEAroSxw3X4HpcyCxii2+lwN9NLHsp7K8MyiYk ToG025GuO7ET73mbX5WmwLbTF9XdsN3HeV2yZSiQLGPCuIq9m/Ig+I0cBZQt Z+6lY89TW4u5lClg8H4wowO7y/B0i7wKBa4Mps1MYRcnL46YqVHgyKLoDn78 vLntUhGP16TAxNMImwPYXbFxMev1KaBjXSLTjV38Qyp7uyEFbrOeRS1gX1ev eGWFKFDs4vtOGveD3d2/p1KM8f0C9j3nsV8o7D4ubEEBp2Lqvk24nyQ0LKlL OVDgWjZfeiTuR+D9W0PciQKbr39VLcFmbW3VFD1BARm/fr8B7OPeGVqCpygg HOesYoz7n6qYgS7vOQr45g8JrsP9sdU7EE1eoUDgJa7j9bi/houdgLEQCqy1 ZYgtYOs0mpNpYRSgXuRM0MH9OFNMxHgokgJvdKx9nmJfaCwz7U6gQLiYqlWO PxXxi7P2v07H8e4Mdf6H+/3bxh7LmkwKtPIxdJjYAT5vDlQ9oMAZZxdDXbw/ 9DWmHHyZS4FVPJa6b7Ff+GgcLniC62G7w9dBvJ9YN50/nvSKAhoPLXeTQ6jo 5kWqh/MPCpixDut5R1CRqGmQ96Gf+P/LLotrxM4WWRtg2ofzs9Z3k4jE612j EqUyRAETtY62Fuw2Hq8sNp0CMbIWxjvwfrk+feZL0jwFHm+NMRXB+2vs25WG daLG8FrhXKbZDTyftFTjl2LG0PunbfI/7DR3ub35EsZgv3XxjVASPn+sNzt6 nWQMJmnTtBHsd7bx3seUjaFqwnV7Et7/Ocf486Z2GYPEbZ4d7Fu432+W2EA6 ZgwHLwnvksHniZYXq+2QvTF8P1o0lIMtYTmde9zBGF6aC4rIZVIREf1RL+2E MdwIsBdUysLjsYNO83kYg9uNBJudD6ko5vvXmpkgY4BSdrgnPr+kZCV7fkg3 hhD3Nlmd/6ioUImr2bfPGA4cX/69DZ+nuFkrttQ57obxgtH0rj9UlK/+IiRz ZDfku/iu6RShIaWTjy0Xz5mApB+zK28fDfXsqSw+TDcBrz37s/cH09DnnCBV dNEUZE/dE7n1kobYJQcNSAxTGAm8o1b1h4aWK3xKo8+bwd9i0wdFW+lon7qp yZVpM+A8yEfnt8bvEw7b3c9eNIeTlcS78xF0tNHFrTrjkjmcc+w7bhZJR45u D9e1+ZvD9HruT5JRdDTjs6lY64o5fJyoNm6LpiPZ2Nm/i5HmMLHysMf2eDoK KyYSkm6bQznlRuzvJDrS47F6XlppDodV1Sd0Mukomi+O80+1Ofzw8b2zJouO 2gXqbURrzSEdt8uf2G5iWnMh9ebA8elRWuRDOkrTEKGYf8D5xbXc+ZSL37/s +758/2EO3TsvhjgU0RGc2CK/7pc5rL8Sd0ntCR1dO20dgPrNYcU3bVjGJnm/ FcsdNgfn4IoDD/6jo4PRBafOjZtD1w6jQ30v6Cj9Wn951qQ5sG/2DjzD729/ kkTXfGaYg13v4O7QEjyf+wn/6cyaw4eyxFDxUjr6+OAdh/ucOXzV+HN0FFs4 b8n6/rw5WHlu5Kwuo6OTRTsftSyaw8UVf4Ljyunov+des8vLOP594w9HK+jo f77B12I= "]]}, Annotation[#, "Charting`Private`Tag$19489#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, 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->{{3.87170208213862*^9, 3.871702129473007*^9}, { 3.871702163192778*^9, 3.871702213557208*^9}, 3.871879851535276*^9, 3.871880003425076*^9}, CellLabel->"Out[20]=",ExpressionUUID->"afc91020-b156-41b8-8509-f14869606aba"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"TotalSec", "[", RowBox[{"eIn_", ",", "ang_"}], "]"}], ":=", RowBox[{ FractionBox[ RowBox[{"4", " ", "\[Pi]"}], SuperscriptBox[ RowBox[{"kIn", "[", "eIn", "]"}], "2"]], " ", RowBox[{"(", RowBox[{ RowBox[{"2", "ang"}], " ", "+", "1"}], ")"}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"Sin", "[", RowBox[{"myDelta", "[", RowBox[{"eIn", ",", "ang", ",", "myU"}], "]"}], "]"}], ")"}], "2"]}]}]], "Input", CellChangeTimes->{{3.871702689542733*^9, 3.871702718481954*^9}, { 3.8717027521928997`*^9, 3.8717028506488733`*^9}}, CellLabel->"In[21]:=",ExpressionUUID->"e4a43fd5-ac25-46da-ab46-b0206298dcee"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"TotalSec", "[", RowBox[{"e", ",", "2"}], "]"}], ",", RowBox[{"{", RowBox[{"e", ",", RowBox[{"-", "0.00002"}], ",", "0.00002"}], "}"}]}], "]"}]], "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}}, CellLabel->"In[28]:=",ExpressionUUID->"a6c54f23-f49d-4b90-aefa-1758c8f4af12"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVk2k81AsbQEV1FaGSCrmVItJyaYT05KFMtothLNk1I0u2pGQpyZJkSw03 ofXakihaCGMdyjK2hpIZRGRk+UfU5e39cH7ny/l6trn6UuiCAgICSb/5v/fZ F/08LFMO/DLG/iWmP05zX4VvaikHnRAJmWkzf7TSC4jcGlgBt0weZHjb+eF9 37HIZXkVoJlXOJsOfvgt3SVq4FMF2Mm7pe3Z7odXCdPoh8crIUWu9uHnTl/s o0gdlRSrAuPq6Ih7iz4ovnzmWBqvCqr2uiuW+3vjAbHodTqLVZBrzrSYAW+0 2bS5f0SaCTs+JOV2iXrjXZUjQQctmSDTtvdKQt5pVKXG5XXXM0Gjfz40iO+F lv/Ki294XA2vNNrLchM8Mehp6YdyVjXU/decvofuiRmvDXJon6vBvVJ4435t Txxu8cXncjWgkaE5k/3VA8/PlQVYJNdA/qXr+YpmHnj7uCUn+VwtrNxhdbNo jztWUEYeaqbUAq8RO1RE3HHQPtifV1gL4UZ2FsKjp1DF/+7qv0ZrocVh62DP o1P45p9x7Ta7OojxU8h5I38KuWOR98SwHuIc25Us97mhQnyJZ5wICzQ8mX5B YTTUbokyKlBkwYO+q/TvNBpSxK1UWvVYEDsomJZvTMOw5Fn+ulAWiBiKZVbJ 0rDz1kH/2+MsEE24YBhUeRKvZL46n9vcCDsZji8ui53EtP5Ym7ejjWB7cHmq 9rwrPtl6QpO/ogmitHWadg65Yu/9hYX90ASzzg5d4a9dUTX70MWXT5qgqSq9 wMDDFbmFbyIbEt8C7eiK84UtLjg7GU8fzX8LCn1HrMTKXVBU1VFfhPUWMovq NFNyXfDg88U/TAXegUbiPVwT5YIJL4/Edfu9A5XYEfnSwy54mMlM/mzeDL/a R3ZfKnHG2+11mUKSrcCabi1+GeSEMir1czp7W0FuT+p3LwcnvBNVb3bxeCtc VLQ5aaLrhJkaDYLzoa0wuaAzmSbqhPcyWW4Tn1sh61jWOf0HjmhZQk8dt2uD UI69ZAbHAe0vuzu938OGps8/N8U526Psky8is1ps+KMmialtaI99ve4vJY+z IVzo7A2JA/boeMBjLcWVDWV6F89tEbZH5xGPmncMNsRLc3/WFNkhzcRLsXqJ DT7bLQKXi9ih12afb4/Z7VCzvikhvMMWlQWkdUf62yF4J9XUudIWx4brbm6b aIclqaFbjvm26Pl8ixZjdQc8b1S4X3LFFt1NmyMv6XVA6foLTvUkW6RFqUhT SjpASWpORSvLBu2nxo7OpXWCvsN7RnOUNcpyGKl/ZXcCezW5YGWgNX6o0B3z KukEoXUpwtY0azxx/XYil90Jr9tEWrT1rNFG0bC3cXUXfCEvC9goaI2WDrm+ d0K7wGOUV8S7YoXGjaduo3M37DUsW3rEoCKW786N9e4GXkjue1osFdULv71g B3eDJ1UnXC2Uiltvne9yudUNpmLYseRCRcI5RiKiqRsWpjvDzPdSMePHv9HV B97D/PqPmcxGS5xQHD6jt4oDZfO1hIKIJQ5K512Ok+KAz/wRiSdLFshZ45PU Ic8Bu3W7x5GwwOqZ7wUngfP7/LXJiX0WyKhcMXolgAMLKm5GVU8t8Ij1Tqfa Pg5Q7cVm6bYWmBRNMzpW3AOufikG8IyCi5JkmmFlD4jvbdfxzKXg6QdKYabv emDJlgJ3syhIrpp4YjvcAwPpJuLK13/380HrfKR7QTWM6vaM/rv3ju9hRPTC r4mbqknSFDSwLD31hfIBrst4HVsXZ46C24Uj42Y+wuOk6RuxkWbo6yml93hZ H7z4EnJgV6gZfizeIdgs3gcrfyivbw0ww1I9DBdT6YOsuU5r0kkz9KAHhybT +mBCwL3YVdcM23LGz6Z29cEq6neGuqAZZuxj0x+8+AS8Z93pfDFTvCPX/KDv MBfqL3AaPYxNkH/cmXf2KBfITcabV+iYIATMyIkaceGNDT8+T80EeQ2bb2vZ cEFr0bxkvYwJKvi7JaWe4ULhbttshzFjLKxZCjXP5kLPLo+CumvGWO2ualUn wYM7W2aLGe1GOFqcKlwwyINDg+eocyGGqPVaZ3P7GA/8JN+Oj/kZ4jXmqNLc FA/a2C6nR+iGqNJ2yAgFBmBqV/b8gqkh+vD747tkB+CXXeDOuB2GSCjuWr9I HQD6BvtK/VYDFMh4ucWUNQBC0sSfw8oGuDGmR3Xq8SBMapysav5BxoibCdsy ng3Cw8xvakaTZJy4pydh8HoQtHfrhLaMkLGuvIB/t2EQsi6fDhjuJmPA9OUc s4FB+FTpYW1XQsZWB2W5pxuHoC7R46tFABljDoSs8o0YgpBtmsG2M/o4x5Pl jlt/hoE0pTKGoD5O5KuxYxeGoXVD8a8Bh6PYUMKMSa/6AmvElTU0u3TRXN+c SXMfA8dVB5f/x0B8I2VTdV9tHPrrPC5+cddBHStVoYhZPijmb4vawAIMlBVr 3JT+DVwfMUQypQ7jseT9yjeKJmE6x6U8xf8Q5r4/URQQPQVMqokJU1wL/+ny 6d1pPQ2rdYcyEzo18EIAuN3QnIEiO9Fcq4yDWNyZ8KxXlIDcQ9p/b7+pjq4l eXLXJAhI7hBMfZ6ojmsZ9bGakgRoe7fEHI9TRz/rRac0GQKU7BocAiPUcU+v t6iVMgFt/BzmgJ865vQb09lkAoZS72eK/K2OGWOrN7IiCOBqhIUkrlJH47cK EeejCdAP8VlFXaGOv/J1+QrXCCA/05SXXaaOJ7yDa6KSCQjnCM49+UHCTZOj vnp3CfjvspDwyAgJb3xnsSreEDD8olXqbj0JdbuH1HyYBJxZM7EYVk3CqVKB rC11BGwprKA7VJDQLEgjMPQdAQOO+HhrKQnX/MzepvWBgBcbzq189YiE5R9q ro9+IkDP813z/XskPF3eP5c2QMDF/qA1CRkkbArb2DI3SgCl4em0+y0SBjuq aWbzCUj4ms+wSSah0hHTh1ZTBATc+FhoEE9Czp9e4iu/EzA4G3JYO5aEVwVi gkt+EODUXwP7o0j4P1x8XDA= "]]}, Annotation[#, "Charting`Private`Tag$27903#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 1.4103522451762808`*^6}, 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->{{-0.00002, 0.00002}, {1.4103522451762778`*^6, 1.8620403036800314`*^7}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.87170287437222*^9, 3.8717028931817636`*^9}, { 3.871702949889225*^9, 3.871703049356779*^9}, 3.871703081871896*^9, 3.871879858830941*^9, 3.871880025499048*^9, {3.871880175642625*^9, 3.871880213702199*^9}}, CellLabel->"Out[28]=",ExpressionUUID->"37e7a18f-d744-4501-900d-6100a03dd0fd"] }, 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->"36af9d48-d230-4757-b88d-107ebe0be903" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[558, 20, 1135, 22, 92, "Input",ExpressionUUID->"f435ccda-8451-4a6e-bb03-de9d5c4df17b"], Cell[1696, 44, 1150, 32, 51, "Input",ExpressionUUID->"9f959716-e762-40b5-9ace-2703181a53ba"], Cell[2849, 78, 391, 9, 50, "Input",ExpressionUUID->"8771da70-9e89-47b0-beff-4a13a47d8d6d"], Cell[3243, 89, 507, 12, 50, "Input",ExpressionUUID->"0db15ccf-6025-4ff3-b56e-439ee9ed6714"], Cell[3753, 103, 524, 12, 29, "Input",ExpressionUUID->"4799f79b-d1cd-4a40-9778-92c5f44cfcdd"], Cell[4280, 117, 771, 18, 29, "Input",ExpressionUUID->"5118c2ab-b9fd-4c76-b26e-a2d5c845c6fb"], Cell[5054, 137, 471, 11, 29, "Input",ExpressionUUID->"86110f4a-bc84-4872-9e94-db9f6d73ab7e"], Cell[5528, 150, 439, 11, 29, "Input",ExpressionUUID->"202b19b2-c163-4533-b035-9f2ed74e3f05"], Cell[5970, 163, 2730, 71, 161, "Input",ExpressionUUID->"deafd385-1bba-4fbd-a828-26c4620014d9"], Cell[8703, 236, 649, 13, 29, "Input",ExpressionUUID->"0763f856-74fa-4434-add0-802fb806c85a"], Cell[9355, 251, 205, 3, 29, "Input",ExpressionUUID->"cc58d23c-b800-4f2b-9308-845753e49fa3"], Cell[CellGroupData[{ Cell[9585, 258, 959, 21, 51, "Input",ExpressionUUID->"cca3cfa1-38f2-4128-846a-a36b6dbbc0e9"], Cell[10547, 281, 62174, 1039, 235, "Output",ExpressionUUID->"7a174eb4-3aef-4266-87f5-ce22603869bb"] }, Open ]], Cell[72736, 1323, 81, 0, 29, "Input",ExpressionUUID->"3348b114-a828-4ecd-b041-c05f2c3c1f4f"], Cell[72820, 1325, 320, 6, 29, "Input",ExpressionUUID->"f8eadf02-2365-4b19-8fab-86eca3906e04"], Cell[CellGroupData[{ Cell[73165, 1335, 1189, 24, 29, "Input",ExpressionUUID->"765ec521-d0d3-43d8-ae3e-17782778ef3c"], Cell[74357, 1361, 26605, 462, 230, "Output",ExpressionUUID->"949f19ad-a2c0-40f6-bd8f-866cc908975d"] }, Open ]], Cell[100977, 1826, 1990, 54, 49, "Input",ExpressionUUID->"7c784856-3e57-4d9c-b11e-c2e2ec1a6a98"], Cell[102970, 1882, 486, 10, 29, "Input",ExpressionUUID->"60e07129-1b9d-42bd-a9cf-e503e1edf86f"], Cell[CellGroupData[{ Cell[103481, 1896, 480, 10, 29, "Input",ExpressionUUID->"d79326d6-b593-4472-b157-ebca02c71547"], Cell[103964, 1908, 12826, 230, 230, "Output",ExpressionUUID->"afc91020-b156-41b8-8509-f14869606aba"] }, Open ]], Cell[116805, 2141, 705, 20, 47, "Input",ExpressionUUID->"e4a43fd5-ac25-46da-ab46-b0206298dcee"], Cell[CellGroupData[{ Cell[117535, 2165, 525, 11, 29, "Input",ExpressionUUID->"a6c54f23-f49d-4b90-aefa-1758c8f4af12"], Cell[118063, 2178, 5072, 102, 228, "Output",ExpressionUUID->"37e7a18f-d744-4501-900d-6100a03dd0fd"] }, Open ]] } ] *)