Wyoming State Geological Survey 20150122 Wyoming Coal Fields 2014 vector digital data http://www.wsgs.wyo.gov/data/gis/shapefiles/Coal_Fields.zip http://www.wsgs.wyo.gov/ Wyoming State Geological Survey Laramie, WY 82073 Polygon file displaying coal fields within the state of Wyoming Used to display the approximate boundaries of coal fields within the state of Wyoming 20140101 20141231 Coal fields in 2014 In work Annually -111.966063 -103.606925 45.448748 40.307190 None geoscientificInformation Coal Fields None data was created at 1:500,000 and should not be used outside that range Nick R. Jones-PG, Richard W. Jones Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.0.3348 Vector Simple FALSE 0 TRUE FALSE D North American 1983 GRS 1980 6378137.0 298.257222101 WY_Coal_Fields Feature Class 0 OBJECTID FID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. Shape Geometry 8 0 0 Id Id Integer 4 10 0 Coal_Name Coal_Name String 50 0 0 Shape_Leng Shape_Leng Double 8 38 8 source_organization Source Organization String 255 0 0 dataset_name Dataset Name String 255 0 0 hyperlink Link String 255 0 0 dateupdated Date Last Updated String 255 0 0 source_ID Source ID String 255 0 0 st_area(shape) st_area(shape) Double 0 0 0 st_perimeter(shape) st_perimeter(shape) Double 0 0 0 See access and use constraints information. File Geodatabase Feature Class 20150122 Wyoming State Geological Survey Chris Carroll Geologist mailing
P.O. Box 1347
Laramie WY 82073 307-766-2286 chris.carroll@wyo.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time Downloadable Data edx_sp_ree_coal_od.sde.REE0342_Wyoming_Coal_Fields_2014 002 Server=netlarcgeodb-cluster.cluster-cfabgiur1wik.us-west-2.rds.amazonaws.com; Service=sde:postgresql:netlarcgeodb-cluster.cluster-cfabgiur1wik.us-west-2.rds.amazonaws.com; Database=edx_sp_ree_coal_od; User=sde; Version=sde.DEFAULT ArcSDE Connection Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> WGS_1984_Web_Mercator_Auxiliary_Sphere CopyFeatures P:\01_DataOriginals\Wyoming\Coal\coal-fields\Wyoming_Coal_Fields_2014.shp E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 # 0 0 0 AddField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 source_organization TEXT 255 # # "Source Organization" NULLABLE NON_REQUIRED # AddField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 dataset_name TEXT 255 # # "Dataset Name" NULLABLE NON_REQUIRED # AddField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 hyperlink TEXT 500 # # Link NULLABLE NON_REQUIRED # AddField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 dateupdated TEXT 50 # # "Date Last Updated" NULLABLE NON_REQUIRED # AddField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 source_table TEXT 500 # # "Source Table" NULLABLE NON_REQUIRED # AddField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 source_ID TEXT 20 # # "Source ID" NULLABLE NON_REQUIRED # CalculateField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 source_organization "Wyoming Geological Survey" VB # CalculateField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 dataset_name "WY Coalfields" VB # CalculateField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 hyperlink "http://www.wsgs.wyo.gov/energy/coal-maps-projects" VB # CalculateField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 dateupdated "2014" VB # CalculateField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 source_table "P:\01_DataOriginals\Wyoming\Coal\coal-fields\Wyoming_Coal_Fields_2014.shp" VB # CalculateField E:\REE\Database\FinalCleanup\11-15-18\REE_11-16-18.gdb\Geochemical\REE0342_Wyoming_Coal_Fields_2014 source_ID "38" VB # DeleteField E:\REE\FInalDatabase\ree-and-coal-open-geodatabase.gdb\REE0342_Wyoming_Coal_Fields_2014 source_table CopyFeatures E:\NETL_Data\ree-and-coal-open-geodatabase.gdb\REE0342_Wyoming_Coal_Fields_2014 C:\Gdrive\AWS_Test\SDE_REE.sde\edx_sp_ree_coal_od.sde.Basin_and_Field_Boundaries\edx_sp_ree_coal_od.sde.REE0342_Wyoming_Coal_Fields_2014 # # # # 20230609 18414800 20230609 18414800 Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.0.41833 REE0342 Enterprise Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 20230609 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzt3Wm3LVdVBuBzbm5a0KAoguJNSENrAkPli18c/m1/gQ4bhMSQ hCSCKAKBcEkuye2P4ynPe10Uu6nau5pV+9Q7xh6n26d21VpzvWvOuWZz/eLi4uJsxWj4xS9+cfbm m2+e3b17d5DrPfXUU2cvv/zy2R//8R+fLRk/+MEPzt5+++2zp59++qwWWAr37t07e+yxx5rXULh9 +3Zz3d/7vd87GwOf/exnz55//vmzZ5999uzUcX3uGzh1fPLJJ2cPHz48agHduXOn+d4iunXr1tmX vvSls6XjT//0T5tn++lPf3pWE87Pz5vXUnD9+vWzP/zDPzz79Kc/Pfi133///bN///d/P7t582Yj f/BHf/RHZ1/5yleaDXOOcVoJa2R88MEHBxGW/6GVPXjw4LeEkYb15JNPni0d165dawTec/r+1DGW IfOpT33q7JlnnhlUI7SR0IB/+ctfNvNTyp+/vfXWW41s/tmf/dnkpLUS1oj4+OOPz371q181pNN3 Yr3f7ulV/q9rMTPtqksG4mUiWWi1eCWMs/sZehFa9Idq2btw/fr1RuP5/d///cGuSZt64403Hmn1 0N5QkNa7777byOKNGzcmJa2VsEaGBXCosG4ShPv37zck6OsPf/jDhrxeeeWVZqddEjybhfYHf/AH Zz//+c+bxVcDxtD2XHNIDQiQCQ3n85///Nnjjz9+NgRoTiwCPrd9QFY/+clPms9m3k+FOqTkRGFR Hqo9bPOl5Pd8Y/Fpvfbaa43GRXAQ11J8MO6VhmBXH0MDqQUWdTTJoebm4uJiMCK0Af7P//xPs/nZ CLsCsfFzmcepHP4rYY0Ii9BOdKigbtrtXYv/gH+BdsKfxfTM73wOhygiYHLV7B+y2Ah6tKyhtZBT duSfn5+fffTRR83cH2oSkiWEQ7OKrPb9f5vNj3/84+bnKUhrJayR/TSf+cxnzn79618PqkHwIdgN LXQnNv/1X//VCJ7f52TRawkOeg5jmiHCtQBPEeYkr6GI6/z8vJGrDz/8sNFw+pC9+0B0//mf/9kQ Dn/VoRsbkvvNb37TXG8lrIWDED3xxBODX5fAMQWd5CCsF198sRHeLIgQGkGibfFzjHEfQ40RTRCx WzynqmWNcbBw7969RrtBFsaPpmWT2gUbJ5KjVTHpEM6xWviUhyarhjUyNp06ERq7GoGLyeh9HM/8 Hb7uE6II3nvvvdcIa1toaCw+g1AiKyZiLY7tNtwfUjUWP/vZz3qbJkMh2mkZO5evGV/zFN9Rvua1 S3viG3Jd/0MjGspU/+STT5pYNmT/hS98oXHEb7s2eXBQQ5P1GuoeEqIyBeqU4BPCpom0CAhwSCqT ngXQZ/Kd6tC2NpkbfiakzEVaTK2E5bnF+vzJn/xJs/A8zxy+t4Q1MKNDUO2vua8s0szbLvg7UvbV dRLmMtQiv3//fjNmNqdt2o4NjGPda+jYNzKGOIc0ebehTgk+IRCmthDlZ0J87JG0axGYXYKCsHKC WCvcP9IS1/Pf//3fs/mzhk7LacfUIYv4Gode3L/+9a8bDdXnxKfEzxmflTCEQ2ICu8h4/Glj+7FW whoZcuXsZnMf2/v8KXbAY4C8P/e5zzXjxXSxyJaAbEBzj+2tW7can1bkzXgiLNqPgxka2Bj36Plt MLQ3m/CY+aErYY0MAsPH0Ce+ZQyBsvtxytZ+apjcOIsPadUclhFkM5rSl7PtPhy0gHkmczQqcy/k ZUzkoMcYfPGLX2xOf8fASlgjg+/IAqSOz6HhEFo7K9JEnnbAuTWBLqTldNNCE9RY+/2WhFULnnzy ycbE5i4whlNo+D4rPjKHKO5haG1rJawJFp+TG2r50PFYXXe+OGU56O18+46+54aFj+j5szjha0d5 klgLuT7++OPNPNusaD5ThB54drLGj+arTWclrAXC4nvuuecaE4fWMCUIavxXnO8cyjQ+xDVUDtpY pJVcQ0RbCxFsgvGt7f7u3LnTmIeIgzk4ZIL0LhiHmKHmbmisGtZEECvFtmca0hqGKui3D4mwBk5s J3CEyf0o/Ia4ajJl2topLYt22iUht4ZI9lrw8DJ0hoZNu56KsMbGSlgTASk4AaPV0Lio6UzEbSdh OQrvqwXZ3ZJqESJKDJBrJucQaSIBhFBT1c8S7hmxukenXH6OT24XSvIov26LrSq/p4H2HfOaiKqU A3N9TAL+EJr90FgJa2JQk704JaXW5Li5vUNbnIik7+JhBhDUkJ0FmNCKtkAjTMfRtRIWuH8xZAmq Rca0xF1BkqXGU/qXYhq3X+X/HBIbV5PvqkQCW8c2/TN2pYwlSX9orIQ1EwRx/sVf/EVjkg0Z9oCw aHJdgh9pdwgLgdbuz2rXXOIP3DZmU5u4tfmwLi4uGi3emKmCMebc2uyQPLM9AbGlSTo0ma+ENSOi BQ05oY6Su16PgHFox5+1FMiZsxCR7dDmziELrCaymqo2vWuTtT//8z9vrAVyRPNNitDQch2shDUz kuyMPNoLJ4F/yS9svzZB7E1XQXFdWhbTkJZVq/N905hJ5nbvQwbkJvm5b2WLVJX1v/v8NubTPSef ryux7HvPeXEdMpBk95iFQ8I1aVZ8izYPP9PqOfa5OFgMvh/D1bAS1sxgwm1yIls8/hYfU3LRvHY5 hvsuthxBJw+sRm1hE9q17ofCIY5i92KumEX7EN9OWTF0n/nuffue9/wycTsJ9ckbze+R5C6C3ObT a3+Ga3NjCNORrF5eS9zXSy+91LzGwkpYM4NajXzioCyrAtgpkdXY6TTUeYI4RmTyWGASDp3ulEoK fWGTqKne2DPPPPMoNcbz2PRof+bXfbardqTaaDT68ivZLKuI0KQQkli+tc3XFUROruZGMv3tnEvQ sqIpDD12cyepD417l30tmW7bkBCYTVr7q6++2vg3a5GJVcOaGTllsZtRsaXx0HiUr50yYZpQi80i nGN1KB4SqqxqR5U6TDXHDk2Ni+I5Uovr0OvUhpWwZgbVGkERDmTBj2RXpNIjkSlRW7T2LnDqDl2Q MCZhrXFVfbRlJrPMCr4sm+Ah81qL9l9iJayZwa/gtAUIV04H5yhHQ9Bl2y8ljcOR+jvvvHM0sWfM E3RL00zQLUdySV4OSOLYrpXUHhYnlvygiCudbfpeZyWsFQ3s5KmeUJpg2d3nWAw5ZVpK+/ihSuW4 BoKi3aZi5rbrJsZojA7RQ6flXFxqjIeWL05mQZzvNWDVsGaCkxuBdhaIiOScBMaRHNNkSp+KXVkM De3h+eefP6sdFuWQ5YZrJaC+ePLJJxstGeHYEDncM699YNNSS6umTIiVsGaCUi9Ii5aFlJg3cY6K PFdLyN+ndgIjAaeF7mXKFuSHgLaTRO9TIZuh8PBSboyLTfHll19u0pn6mnh8YQ6DaukovhLWTCgd 3PwLAjeFFHDC55h5rnZXIsglZiNVfQ9rLfhnEc1xODEnPvzww50+tCRwl39LbXdR6Kng0BXeyxJw ml2Db3MlrJlg8qnbSdPg6E0UNOFg6szVvCImqXvS9/CFF16okrQsQpqoGmO1JSCPievXr+8MVaBR 2fgC40LevvGNbzTz2aeIpP+NlsXXOvcYr4Q1E9IQIk0D0iiCdpNTq7mBtNK8QNxTbQ0saBp8bcZr jMj3KRD/W6lNl6dz7ZSZp556am9icTSwNNJFYDY/X50Yfuc73+k1l67FTeDEcYp29DvvZdZPv8JI 5+ASBJWGFW1h7t2s7IZiwdiha4OFx5S2MGmESwv8zByXstCe93adtPMOcpFYLFpRSIbM0UppzGmK 0gU+M5upjXZOuVwsYaXcLw3FriE7fUnIMTpBaDdCrS2kIJU/awUTmmlIJmoupbwL5fwfSwi/+c1v mng6pNVOrGZKCiT1nj4dieK2QFhzNuRdJGGlkoEdBNqlWZaAmH27drlUZkh4g8XoNXXtqpRdqRmH aqRlSETmJMm+xtxmkvCJJAXTUmrQfrchxO0Z2qaf+3ZQwZS2hvrMK/dAGpjM9fyLJayyWubcdvUh SOstArNt8ttmQtooTQ33aMcm/LuSaOfEIaEN2QiihfgZQdFCEhiaagW+xlQfKmC1/flD4cGDB49a 0m86aY7G7AT43Xff7VQWBxA3OeBHm2vNLYaw0g6bCWXA7SAxBZZSEqVEmin42iWgryzxMQcIdQJd x+rqewz4aoxR3yDSdiOKcj5S/2nonMVtWmE+3waRZiKpyZ9GIvcvNcAuboPUwtoE/8+NQssSwtL1 GaO9rYS1ByaTTZ7uKRG0XRpKzSij2bsiuW1zJecSVn6PGgnLolaqt0tXnW1Idc4px7ZNPO2NKeSU nz/55JNGBrr6OXcdQriGMUOMIuG7HFjMnSC/KA0LObXV1yUFDVrsNESmoMXvWfqYA6k8Ge1y6tw0 JiHBttvTbGtCFl+K1XUJuk2jhKRDecVvOAfKqqHb8PHHH3duRUZOyJwsim0aFDnizzJmzEPjgRBL s7gEp/ucG9ZiCGsTTNqcJxZ9wf7nuIyzEwH0NTdiNsxhBkfLleLh88Xl1ASLzJh2zRIoczWzMLNQ a8W9DnXjA+9D4OTOSfo2zRFBqRgi4yK+r7ap6lo5hJgz3m0xhJUBCwwoslpStxfCQ1OpraTuPiCA EAHQEv/jP/6jaVO2RHO8bQLWTFBtPNGDUL0PAcWNQjPyu00pNnxS5lPhyF39BIU2iOGy0c6RqlMN YTGTaB6pY06Y/M7A+Jn5VHZJTs7Ukk4Ijy0OV+50c8L9Mw1Fv9fmz+pqDi61wuinP/3p3lo505BW bK78L2e70/V2uhUty9zSyKy1UvssTVVWQhL2XedKEpZEW+H/tKaUszAwSSnICWEQn8OSdvhjHbrR CEriSrG/sbS2HA60d3X3YacVNV1ToKtFaFF26To8JmGZk2QttPMcy02nXZu+JKP2Kd/55Xv7jnfC NRKgbB0xEUNQJZCQtfejH/3oUZpYG+RBDGSUiSnzTKshLINkd7QIlFzJzyl3YpLKILeujseacGyV yjSvjLCHsAhiBGto0tp2KpQsfiVoohHXAJudVKJNsUXRcBNbNUXVzyS3l8GpiZPatImVeYIJq8j3 5wOka4W8zJ2I903amkRn6w5pbavukHQdiobDjqnWYjWEZZCYGVHpM6Gxwzep+dmpatrhdyHCeeix cCnAEK2KmZD4mKE77iZ4chMsRgJrt67FD9QmhBIWX04FQ+xjHdF30XjTXmvqjffiMlOEYuC0ty0v fhYg7O+78jPJHAUj7b+m8MtWQ1gmDWkRqC6dUCKYhLDG0ie7NKwxFslYydL7mnemBnwqAoAdPPFC NMIptS9yFJ/nNs2w1HbGMgm7uivmKD98frnxCWMwZ+avTTbpro3YdoUO0bLiMpgiC6IKwjK5mNwA ESCnGl3iqxIVvBTCIgRJ8SjhWVPqd5MpVpJc+Z7SdOhbmK0Lys/fJbAEn++Dpuc++B6ZZeZzapOR LHil2/EcSHmYfT7LnL52zXYYEu4Pqb/55ptNHJZ5alsqXQJUU/fdfE+RGF0FYZng119/vRk0drUB EPBmEbcXck1Rt31B/S59UOB7/gSLPDEw4Pt2jFD7d/k9YU+HlF1oE2L5ffsVsyrdgrfBZyOt733v e83zmbf4bJgLSSuZakHuSltpR5HvSl3ZJVfteWm/P77WLjmHrkWLmeu0++7du42CILewXQbZhmMO uRpKmd0kR5zw3uPkeMz4vCoICwwWovLQX/7ylxv2Z27wa21KtUjku7/VULq1CwjApjI4IaJjtJBo advQJqRoASU55cQx33uPOLcuvgkLn88D8hzlSdlU2JVzmSj2PHs03k3Ypu2mKmxJdu2/G78+Byxz ElY+X/yVddfeWMy/E/ryxLA89CnlyZr1zK+88spoGnUVhEXImBQEIIvDzux3BiEDUcIAGUSR1xx+ S8ZQSc37/E19k4KHIJo5etvt+rxdWlWJXaZQGV4wxLzNHQt2fqkNOzxpl0FWTob2lLZhu1BuhCdN WB5uU25a2mzH5GlXXsyJ2KY4oaXhWGd81wz+PvczxJjanWnBU5ZXzmng2KgllGMIkB0nvgkuDSgO Xc35sQ5+qiOsbbBgUktcnlPbEU8wOfvYzGJBlors1MeahTUuIP4tLyb/VH4sGRKpazUGhqzoUJMP 9uMtgaKpjGvj2fXcU/iUqyasCEeyxzedHBJOAW7MwqXEY20SCE731Po6ZDFMsbsdApoOR7xnnMrX mM7MY2FIOUsgZw340Y9+1LhhzFUpSw7CyGYXsxDGJK3qCauLbya5UtJElgjmsBeB8BxObfpiqEjo MWBTmfJwZGzCGhI1zdkzzzzz6GS3NOETvL3PAvA3/maZKWM14V0EYYnRwvCbBivpKpyFVxlD+Zw2 qfjHahT8WPwjTPcpkqXTkWhuZ/YS8dOf/rQhJ66YMn6OBdMuQLAJNibWgiDSMYi4esLKsXiOo1cs DzSeKetMpWbTUl0Ec+MXv/hFQzYhLZCFYtOhLe8aVxscF8Dbb7/dhEkMTVpVE5aHx9a78pkSXLqk uljbYGcjLGpse3a+O8fK2wLxPLcdEZhbY5hcQ+VqpkfeFIcjxku4S+2NVaPB1la99eIyLKEkGzJg jYnZ2te0wriziGjWQ8tk1YRlpxQ8irB25VsNYbbUAAT1V3/1V2evvvrqI7JWKG+TEzOBs07fCMUY tcgJHgEdoidhmipMkYZiPGgDtPNa5SLzR+usrXJrNhh+qDIX1Li6X/e9L/+R3PDHDh1EWi1h2dmR VYr4bYOB4xfB+kvsnrPJHxeHZ9rYb0O0zrEIIOVrhgDfhl1XpP/YhJXWb12S6OdEfG21ON1LGLfv fve7zeaZPow2R2ae00RZDbvGNqW8hw4irZaw0jvNoqHepyXWpgVkYb/zzjtVVsA8BvsW2yHF3Pp+ fil0yIbW15cEXCMt06eIxfIZTE+ERTtfcbhWLP6RUkALTGUHmpc5tS6nRrWERbOyIxsgwueo1JHr toG1kJxgWBRf/epXz04BTEQksc0kZGIZl3akv9/7nQUborc7Pvfcc814Jqo+tcfyv3ZN44j0aXkx tQmoUx+Oc3MhWZtjtSt8HqftlIXePKcNjxzV7suqFefn5w1hkcEkRpMHGle0+6lJq0rCMhicyRYj ApLjBLsEL1nvqUy6tGqkm0AroTVug/EgPG+99dZvaZZ8N3/5l3/ZEEyqbCKldrR5u8y0/0vzTr9L sTv3EXMbifpesiw/R5kQuy2myL357Ckbb3gGROv+uBa6lExe8dswdgJJs8kFZIgD3mbAsT7l6X2V hGVwEBXSymLr0nzBew3ge++917ThXjr2dR0O4dB2UlKaVup7p4t9axOVpLetFpYNgXmghlJinWhy 2YU5u2lq7gnREXakOodjGbmKH7KRua8afUW143Of+1wjF+2xI5c2hBRxnCpav1rCIuRf+9rXHjnV DRyTz66+y2+T3mlXAXGExgT27EmfOLao4b6I5piY8XMladbvmX9M0fQJnLOtmfuRWoLMkWitp4a1 4ic/+Umz2WwKzKZpcxWYf++bQtOqkrBKtTMwYBaC3XzX6RltbOmnhX0wV3842HTA4Xc1HXzk8IZG iGj56GpI2xmyPM1YSKrNrjprNkZxZMxDWuzYrphqCWub1mXn3lZCOekpV4mwVuwHmSA7OUTgKO7a u/BQlL7DoCygOEYq1RhIj4Vt8XPxcdJic3I45nMthrCAWYHNkRa7eZMKShjK/oUrVkBOt2gA3Ar8 oza9sUzElPa2yLfV4V8CHjx40JCQsdvmTy2tIYcx/MhjYVGEBbQnDl6DuInNDTCnL5t6rIzxFcsE WXGYE5+aNCib2xjBpWXByaWRVImY0RSFXc1EkJaxZX6vhLVBBc2R9SZ/lt1NNC4B5fdasaKEhceE 4WvjXrDxrYn1+yswcL7vc7eM7ZdbnIYFdkdEhJAEtqXwXYDIUiPL90uuRrpiHNAIknJCdvalmlxl PPbYYw1hMfs42efUFAclrPQno/WUpyAl626K60E+fU8X0uiRkNklhTy0WxG5Dz3zwGcsUSVfMT5p cSNI4RnSEb+0FnRd1raTwJjUJ0FYThOYYpya6S4bwooG1I6GjtAcchzqf9jWviYy3ucwGWNH07QE krKta2i4ilgtDvcoRmib09dYMlVKZ/GK4ZFqCV7mZcha7admZt68ebORxZMhrIQU9IkLOlZAomkh PgMaE7AsLWJ34IQX6Dj3UTJiZaoKhP3Sl770O9HoCXxFvk5c3K/3xQReMTwEtwqApJGveYfbwfWS fN1N65Z8UgqQv3U4RsfvwX1Yc5hdibyWc2hQDRinKjIzcLQ+iz+9D+cEs8MOxWeC2H1fak/+LgBP 2EYSnJm8yJcAJCdwNW+Hg83OpsfkmSpie4m4c+dOs76kfW2yVqI8RJ7HsAqun0pBfYPj5BAJ2AGS UZ6OyCn7OjeQJjCbkRIiMsmIy/c5MLB4Qq6+V4U0bd9pA9Eek2M5t6q+dJCfpPCkqmaSv4/BmE1F 5yB26U1kbZt7hbY6ZmPjKk4Jh9jR2sXv0lKcdvXSSy81AllDHpmJtjCA2ef+qNmEIPfPv0VL9PsI e0pBA/LNQvA7z6nQGsJefV3HaenyVy1KprsN5VCySWJ42tafCm7fvt0oAUOVzu6LKkayXeZkyOty vtNUUqKmBoj/4Zdyf8jHwhCeEbMWefHDIbNtZJ6xQlBe3uurw4UxfAdXBaldbhxtGLTbQ077amrf NSRKq2XKbt5V+bDG8Bm4DwtXjXQC58SN1lLLbuc+Xn755cYcRFYODJgifG12ZaYtX8G+6hQB84XZ 6H8k+iLFuf11S4YxVw74tddeW2tptdaVTZZ8zhGUPbgPq6+amOPfTRoWJvc7msMxqrld8u///u/P /u7v/q7ZPWswDcEzIRjE4uRQcB6VG2nxwyGhPjsZoqOt0Qxu3LjRmJb8WsixlmdeCsxNuWmsjvjf rUU/B6pQN1LpMoOQhFG9zXzP52PR+v4QrcH/2g3KVttz2eCbgJzi8KUJ5pDAvfZVu40RTe1f//Vf HznoOUGRV8avludeAmk5JOHTuio11rrACTeTeY7Nf3bCQhxvvPHGo58NAFPJ7uZvjpntcKlwyMfT d9HR0P72b//20eelSicT0aKuwdeQqH2aVoJej7kvROdZUwufiYi0jJ/n3lePaewGF0vBVe8ovglz RvDPTlibBiPBaTllsXh81aOPyWPRefVdUK6hgQI1/80332w0D6bTHM7DTbBrDZntHkJC9rRLJicC Q9Yc/J69LF2ck1XjhEDT4HNb1YGrQmhCHK7Ks3bBlTcJN8EiY85YQGVFBj4eTmoqOo2rb91yQZkW 4t/8zd80P9egXZWaIKKmcrerUPBneWaaUnuH23Qite043e9CRMxOr02g1eY6fIDuh1ntHpivNFPh IrVoqGOCxk/zHbvo31Lw4MGD2caiOg2LVkXDStzRpoFJ9DdN5IUXXujcmdjOoJtMzQuMKUzroQWV gaBp29U1yn2oeKzUkErnFITp3tICiraq4Ue7s8rSYEOwmUmWT/MKxJwGKEn16vqM0Vb9r2vYKMou ykvGc88914zN4uOwTBB/ibZTJolwMzv6AlGZaDs6M2ZT9+dUFnWiZmF3rSNeu8AYt7JLUKLfk5oz F9rj5p6MO83rH//xHxsHrJ+FVMRHthTYDGiafKkJxiVz5PjQkirmy/8hqRwUHTImXBg2DPJ97QiC ONbvlFN8c0tD72vZVElYdvWy9lRaQPVZaGWDTxMU9XOTeeP6zKd/+qd/aj5blLKgyyUjLbrEZdE0 IaEdtcSQlUjdcpuH+3TfMV+TKgXmNO3AyEgtPqHkbn7ve997NL4JZE7991TN6IPS33cMeafiybEb wPkAGwjydWpKPufakEaJw8rEx4w5hLBCdhbDrhy5xMf4rO9///uNKs+3smQYw03hG7VqLekkXcbU kQGbSVrF5+8Wv8MTMoG4kkc5B5IJ4X62jffcNa2SYzon7t692ygC3C+JG5wLo27ZBpoq25e0omHZ tf1v14XKIc8ktbt/4xvfOFsqcjq6VEQj2NT8Nj9bBOaLP8zhioUwNciJw4Uy0bw20Kznvrdnn322 SSWbm6xGJ6y0MorzsetOYXe2YPmn7NJ9yI45QggtBmk5K+pESueYK1qXMJVD/J3H3gN5mVuL6kJY c2nX165da+alBrKC0Z0icT52FYrEDVGF+T/ix+kD5GgRcJo6waKxcV66B05UjsO51exdcH92NTt/ aW7VIDBDIs9Fi7YxpTPLVCADpVO8Rswpp7dv3260X7JYi//0+lSDntSbLjtFUkgcnyIbJ4V9dpi8 V5BkqkjS8sB9sMVrrh2VU89omu6Z8PhdLUGuQyFzxfxXcYLpMdUz2tjiL62VtOaq+nBxWbnXGqyp MfEkhBXTkNbTJWYqkbSOTqmiSOeQXC5ExUeSEx9wfO2aNK1ahTR1xqWFcFon+btmrfBYmCsbDAJR JWFKYq7ZJJyLsD51mQlBu6ppnUym59EWujSBMDl2W6EKTvyOHaz2hCO+EGdNE7Gp96KTmYQL1Hqv Q5NWKsOKLh+btKJhjTG2OS2vIRyhL4w7zarGNTKpYYos9pFW8gaZQI6b06V3yInjM6m9XAitCmEz ZWkeMWtpmwRqrsC9Y4oz7pvDnCwiLV8teMHDaYM+JMiYsYyfcGik4kitoSjbgMCFBaWxS22Y9I4M gAHZlzaSRgtIi+PdboVkhgABEntTe9hASvbyI3h2i9g4IO/adr1dSDJ16nLtQ0hLMKfvPbtrcP4O CRsAsiJjY2BJFUc/+uijZnMkbzR7Mldrqe3JCCt5aHa1rqoyZx9BjdN5KF+DazELU2OrViQVokwC r1WQtsF9eyWfrisiH+Ypp7tDHpSk2UTN/qsxcX5+3owns09eYPp2IqyafaWDrlY7aRolbEJSTBIR 3UX5/XjCAAAak0lEQVRTSIpOtLMh4D7s4HxENRMWuD+L1bMzkcu+ee2yLzUiwaPHmOBCWxyeDFmS NxpQ7WbbGPd37dq1RqNCUpzqS3EvwPUxnJi7QKvp2hU3tbFoGbStoQgrajBzw/3UvKMAkkda7jmd XJLCxKwheLU+wxAdkG1a6ReY7kLHLmLXMG5CZmp3D4zR6+BGqxbaUjCLehFh6xL9TqOgqlq0Xfxf XeFaCKB2FTgwBqLBE6oRTSta1pBjUxtSIdYGk3r1xz4rzRX5pWZ7rVrWkB2lLi6Dj7kYulY3OWnC 6rObdiUtfgY7YLoeD3mvdleayxIWujFCrsq38OkhWz6InKDxy9X4HEnkHmLBJVc0VUGO9WnZBOIj NZ6n7s86v+zdOVctq8X5sEoQ4nQ53mWWpcxKSq4wgYaCXZugDk2GYwqcRcaUMRblPR9KVtlkxgpM HZKwgHyJiKdhpjnJoXBfKUf0zjvvNJtjbZrWkCT6xGVTkiXI+uiEFdW1jz/A+xHQrq7MSZIlqGMI E9JKgbQlIKaMiqulMPchrNTJT3FAP+daiCA/+6y8ugh5Np50BoY+VTq7IgcQNppjg4tTUdVCDhHW hKyrIa5zfn7e1ChbMmY9IovjeNeEcAx6T+m3GQomMLE4S+mWnJQl45JmFX1PC2msSMgzu178g8Yh rchdkzaXapvlhtL+nESLCzZ0rZT48T1yLRO4XT9BocfANX0OM7lr2ehtiIlpXLSoP1XT8NpCzcBR Twn7nAglNqvLQKZ08NBgBgjKtHhrSvLsgtIZ22fBIg3mQcypxOSkQsYupApsPi+aGC0lhMU5jrAQ id/5Wyp38hsyZ4foC+l6wlN85rHZEMksUDWiph6EIfpjHe9PP/10k25To59zVh+Wye7qV0jO3D7B 9T6C77pD+rCAIAgVsFCXEOIA7lPFCWV9DxFkQpuSy54XeaQuVCLpt2m+fIkILxqS/00jkIzdpuKJ Dge8nPCpc6aBRaqTHgOmsfsVo3UMaeVQw3NIhaoF5uXYXNLHLpPpuzZrqRmzmoRdJiIBfqVZMbTp lvpZSGsJviyLy71yOluwhLqLiRVyCLkIk2Cy0Xoc7bsOUjEGtE6bQxZMtLBXX331qHt3n+qCI0zE hfyOmU/E+oMf/KD5yj9zSMOIIGYtLWvImL9DUJr5x4zPtWvXmvl2urwE2a42rKGv2ca/MFZ+lvtm plisS/FlWfi0FaRCQ+xCWBYhAY5jXCUIZpByLl6lpkzb0PIKkacDkiYfQyA+I2TI0W28Q4yHwP8h LfOIhA8NLPWcZMC9IdM55cBc5cDjkIOL88tCmMiKKbjP1L+ShEXo4sDuii6+DDseU4TabyEN1Rm5 BL9LOiIvwZeVEIevf/3rTa6e+99nXqUkcBJ/kdCmU10LV/XPNFwdA0grpXdVg2WGxTw9xEyk/SG/ NOA91DzMs7untPwa0k1QNurYFe6R3x8Sa3btspcCjXPpYQxtzJ5IZ/GkYN8+AUMkCGUMwiJEjsot JCbLUiYZaX3rW986e+211xotdJeWa/ERZLst8qeNzLnzJqQgTQ6Yt0zTQ53e5CfhHp7P2BzSnsuY 2AiYxe+9916jpSD2xKttCzXI5htZ3iTTSbpOy7P0oGxf75haWp/5zGfOXnzxxWZzPzXMTljIJ1UJ UllzG3LMPsQJ0yYQEjurzyj7K9YO98u3xDSkbfm6SXOyWzPr+L5qQ/LbzCtN6VB4fkGgTg8t2kNq aSU52Atxgc2MBk5OEVnK0pTVbJGQz0PAngdp7kosRl7mCkkzz4NdftqLPSEsKc20xDzBWQir767Q R6By2uF1SHOKLsgOSPBrrvveBr8Nxyqi4ndi8rV37ZQQqfkZbBQWL5/ioSeI5MT/Iy2Ld4hnpgF6 AVOLRpvwDfeMHGlmfeQ/ZjGz7fXXX2+eOwUMrYvyWils+dFlLTfaE/ksx8j40ZpZCEvww1bRSHXs gUq8T5y1Q4MwIMPEKi0NFitty4Iq8+M8V+oe1QwEQwukJdE8jtGWc1gzNEnbML/97W83oRlOWVNk 8lAgrm9+85sNyQpc5bMNEmrCr3bjxo1H/lWbEr8fckOa3oOoENYSQnMWaxIeMrlpzTTGiSQStFAI 4VJPVqKphLCMmXZnTJQl+Oay+Nx7kp2DPmEttOSxwhMQIo0Whtg4kQzys6E4sX3jjTceNeTgd2xn Gzz77LONfJZdzsdIg6oNiyAsqndKJCfAz2SlDfrQsCjscoSido1kG5gtNAG7sF2ZiVF7scJ2nBn/ EaIFsWIWMNLlCDf3+8pm00Ky+Yxx8js0OcRC8fyCb3edJJ4vqATzSfmwuqB9KjN2K3cCw8GaaPAl OjA9A8J172NVYpgiqDgaIaLKAtZRhwzQvsSKlY7vEtHMlligbwma8Byoasvtqu6bzCn8S3ZoO/kS CasMHjwFlISUZ+Kv4dsRypCT0baj2sZDS17qHK74bVQnzV1Ii3rPkcqpOmY96gRZrqgTiQR3eudA gcMacSXdB4EJTF2qWb9iZMJK0NzYGhZV30lhju/HArKiYfkc5tWKOpFKE07RmI45jCFPDiCm7CK9 4gr5sLoSVrrvjG0W+hyE5eh4JazlENeK00V1JmFXzW1sx3vgMwQgOloeupnnihWniluXSfkCaoc8 8Lm+hFKwm0r0pnX72KBl8YnQtPhDVvNixYrdEKz7wx/+sDnwQFgnaxLuumb7uqkMMQVoc+KykKaA xiVUc1ixYi6ykgHAKllEas4x6FOgLx16pjq2R44mwenkKedqrVhxKJzaqyPG5ztWn8xqTELok+w6 VrHAbUBQTFCkJaaHebhixYr/g5N0+b1cJ2OGAlVlEtKakg+17zreN3VQZNqSCVR0f+lpt2LFVcat W7easkw0qxJjWCGzV2uQD0aVRD4pbRvtaVcyJ3WTeTaF471NqpyJwUpaK64y7ty50+RryvWcAlWY hDHt0rGlbeqle3CJENzUhFWSVkzYpZOW8abKe0kUTi2mvv0OV1wt3L10kXhtqopRvYZ1CDb1A2zH bWwKa0gD0LmAtFItwsQILF3qwlaGxjE0lR75EsQ0qjDG8vWW3s9uxbAgG4hKrBULaSrMTlhLRkiL hiJVKL3xluiDIHQ2BeSlAgLCYq4jKiekTkY9p2PrlLNecTXx4YcfNmRlg5uSrBZDWMfmKI5NWmK0 2PA0ExoKbWtJ5UGS5hS1Pl+Nue8RWBowIGjkLKHYLptmuK5xFQrIXXXcvHmzOQ0k87tO9ceSg6pO Cbdhk0lY08LIYYNGBXYdxfOQlgWc2uopiUM7qa3kS9rWp+tOibTeevvttx+VGvZMfF12Ws+luimz 3nOlwqnvpTOtmtjp4Pbt2w1Z0a66KBCL8GFNSSQ1kRaYRCry97///UYLsVgd96YuN7JCZhZ7FnJK 2KTPIOKYUpvMaWz6+G3aNf29rItenpT6XrBg4FkQlffzfXlmP0/9XCuGhXl1GmhT6zqP1RPWWGVb azYJN4F2EYd86dNCZmp1M6fU8YqfKP4jJMekzKmoRY5AUpjO78puwMfCdWlJ4srKUI1j4N6Yxl6p 2qpWldcptEq/inhwWQBAvbF9ZanHRl22yRbExDgFeBYE1XZW2sFoY/KwLHYmFg3F7+1qiTujsfAZ hdAQWcJB9iGaXMiOaRczdozxTYgKfweS9ky1acUr9sOmpo5+4iXnxKJNwlNEzC+aVdnmiv/ACZ6d DgkgNeVuEJmGn3xmm9qz572c5/E55X2IxI451AFBfHVeyDHmpc+XukGrXElrWbh9+/aj8tNzk9Vi TMKloU8rqmNILWYcEhNSwT+W9uw+H1nRojRroEWlhpjf0c4S/zbUvbp+Oh/7PGSYJHV9Bgn/Cy+8 sJqGC8HDy8MWJ+B9m9qOxQXzU+YROLQz8NiwQKeMxzIO/At8UfGPpea9Nl8xA9OUYqwa5w4T1Fdn tvpKQ3Sq5D4QJKKkJa6+rPpxcdnqzqZz6Dobw+88uIY1lXN86moNNRNWgIyQQrvO/VRaL7PPoYIg U5qWihYOEmiAfHO1zteK3wX3ge7hTPuaYgpnNwkPyVfzP4IW5z6x2HZvY3Ubrh0I05y8/vrrjRZF 4+JfQ15M1hXLwMXFReNkh5rIqgqTMB187cRLTGvZhDica/DnzSFw5tEYMCloe8lHXLEM3Lx5s/E3 1uhymZ2wHNEnGvxUsMROw2OBtml+c4q5om48fPjw7Lvf/W6z4dQY+zg7YdWghQyNtfnq/0MMGX8I 07ALYSH7mPprt+bp8S//8i+Psh+OQQKdT46wYFP80JKxalj/j0Tn75tfGjZyc9LpGN2i4QMTayZE QjhE2bFISIeUoKQ0ifUS1uEEtEbNYAl4//33G99wzZiNsJwoOeJOrlltzr1jsC6Y3x4Lc7uLsFJ6 Og0MQvh8YLQzPyMxi8nP0pdcM+9LDqQFh7C++MUvNu+pIdBxKXj//febWLnaD4xmm9EQVeKDdi1y gvlv//Zvza76zW9+86xGpB49c6amNmC0FtqKe5pjU/CZKUmzbVzMv9gx+YaQUjZMawvJ98YXKXmf 7zeFSPi7jVDcF8Iqq2as2AxjJhTFHNFSa/clz0JYiaHqU3rEwotvw/8T5lp2gyQoW5ypuFCLiet+ CGPXfMOhYRxo0jQnm1RZ9aEEUmECIrUsGl8FoPr/t956a28SfKL7LTyfRytDcA52xISl9POK/wOZ /ed//ueNZYVqxWyERb3v4tvYhhBWDaZkCAtq283dz66u2lMASSGOfSaae0X2SSmKtiSXra+cRCNj QroGAiMz7kFMGNPRqwb5mQP3798/e/PNN5vNYAyZHSuIfDbCwupMwq6CWL6v1LBqEbil7FBzIJUm uviUUnZajXmbWuqFHTLP8W1FVmK2y60UZ0T+ajLfp8LDhw+bzYCPcEyN82RyCaNh9Vnkdt6cEkUI qf7bTIypsaadbIfNyQJh8pUnfbtqdHlFPobYlJJHCciLuUiGEol/lWLE7t692xSZTJ21JWEWwjpE XWy3+qrJhwUrYe1PV+oS7pH0rrE11kTi84syi/jKrkI55weX1WKHLCt0JQjrGMd0qWHVgJoTsWuA eeaTihtgF1KwcErXhLlzICDma2kaR194VubwEslqVsJiyh0jHJuaq86JlbB2g4lHo3Fit80sNIYc 5CkvPRW4J/i1hEJcBZ/WwwVvrrPFYfVVv5FTzEhf7dSEvxYsWQim0mbs7LTibYSVtBzvmxI5lVQC R0T9KQec3r9/f7K28mNgsJlJ/MtYPixCFJJLHfNadsO5wwaWAPONiLy2bTSppOo1JWklfksRRPfw /PPPnyxp3bt3ryFm2uQSMdispBRuV+xL12ijDBr0OVPvwvuwalj7wdxzWij+aZOGTSYS5Kkhx9T+ pDQCSaxWLRvi0DhfsJ/u+hIHLa2ya8JKWN02NaTF7NvmEvB7aTyILZVTp1xg7pEGYkNMAcJT0rYe e+yxRrtaqkUwqEnYp6zKMUK4aljLNgsRFjLYtqBoYMIM+FoQHGf9lKRBvmhaNkUR+u51yVpJYH1O faBxMiZhX6SBKPBxMB1oWjVgDWvojjSOTe7lJphnmg1NS8xQqjlMqRUk+VojDbJ2CoR179695nkS 8b9EzKLrHlIgjJM9ZsTSOkGv+O25F6iZKqS7YI75s8y9GuM0rSlJK92I+LOOJa0aSmY/vDwYW/La GdQk3BbJnL/lNM2gCdQ7ZgLnnvxtaR8r9oNmbKdPZYt9Y0tWXn755aZeE6Kb8sCF7GpVhjiT+0rz ct/76riReYGp6eQ9Z3uz+/fvP0omXzIGNQk3VSssk099DcufWtG+lbC6w/zrl2in//znP98s/l3j hyTIy1e/+tVG40kxP7KF9JiZfXNT+8g1X5bigkgrNc98L2aLj6vcPOOji5/VvSItoRJzEdbFxUVD VA4TatD0jsH1scqs5GcwySa2/L0JTfG+fdf0vtKHVRs8Q815aLm3qYQ1GnXZwLX9uRaQigw0Jv4q JldCXZK2lST5Mvbuxo0bTd/DlIvh50oT2X1t3455fhpSeX3Oayaqe0ridGK5EANtxs9IiuzPdSp3 cRmwm07cSyYruD40WSV41GRFQNpkkwqS+xZ5QgWYBBHqkF0teYRl5H2tMG4WvvEcW6tNjqdFYiFn 7su4u8iK+7GQkrKDFIxlehj6eyqOuobj+NT38t5UUUVgfs/P5bPzOfF1RhZdo72pHvOcSBISCOuz EZm/xXz0+aX/dUo8fPiwIamQ6CmE3gzqw0op3i4wsUho3wIy8XbVCHFSC5gUtXRVye5fK6KtDLXL ZyPa1AQ3p3nmxiLdtKMnor28TllSJu3tjWmpmas6ihQQjkTlL3/5y41pRob8TKb4xnKow6nvPjj5 4wtLYUA4ZgEn71HT2BBgm5jcA5JVY959TomHl/cnPEMBxKXGXS0qDitE0DYFmQylIK/Yj74Cmw0o pFKaddGOM9/lIhVD1fd+SlMtc75pA4hWVSYsx5REDnxK7g0h2ejUiFfrirZn8dLWkJd7TP33JNF7 1i5hORkT1ySHu+qxlYQ+ROusviextCrPfCpkBbM5hXQC3jeB8WeUwmuHtJMu3RafGikPvGnxQUlM WZDGGjEgJK8QSebjGDPHNWgfCIbJ0vda7tGiLLUkZPbqq6/+znvjGI9W/+KLLzbkRPMgg35Hu3v7 7bd3movG0Jggwy7Vct0bawAhev++E9Gh8PFluzRWyKmtk9kIK22adpmEmzQsC2ifc3XF5rHctPgI d4rrWVC0Dws8rzGQ0z1mUo7b+zaf9f6vf/3rnUkAYTAhAwSJuALExWSMubjtFFzUex9NyecYxyld Bg+LQ49Tw2yEZVDtagRgG2kZcLtmOdmp0lBb8nPtiNmTl53fWGqFNTXMa/L0RLLbkPoSFrKL/2oI kKlXXnnl7N133238PrluNFDEfkjDX9fZ5ssbAxcXF82YMpdr9qseilnjBLpUbDjFXWIOlKeYcXrP EQeHmJBkSrgwCznMOdT93FV74cgeOszFAv/a177WaGJOHGmgFn8ZutJXHjeFdIyJX/3qV43fqtYQ oGMx6FP1mZiuZZLLCU9uF99DLc0nloo5NgLzh2jKtvMWFvJCYnxMFhufFrJgom0iMBriMS3i9gGR Mxdp8f/wD//wqNlJX6d5/IJTbgzXr19vxnbJ6TeTENYhO09XoStPkMpCfiuWA34cZOWwpW2qZPPy N4GgX/nKVx4tduTEvGGmpXGCxYjYhC2MZfb4jJiJuo4fQlbuDxlPGdLw/vvvNw73qRz8V84k7NuP cOoda8XxMGdScMTS7TJVQgrt+RWHRwOzGLWn8nepMg4IXHMseXDfwiL++q//uvncPuk/7s19J51n Kjz55JMN0Z5CkGhVhCW62aT2mUz/U1vhvhX7F714qGMK4SGkBIdGW7EgDzHT+iIBqAgTSXY9HHCo kMj8qfDBBx80oQzucTUJB0bXXbH0YUVwVywHFi4zbwifY+KZpkZyYbu4L0KsYxwKdPnsPgcXYyPV KobMSJmtHtYhkdccsUsvj3GVYIEnrmvpp73Jfdz3HiYkM3WOQ6Fbt25VU9QyGNo0HZSwujJ7mRza FSlT47V04b8qkDbDLDqFeCCmKJ8U5/+2xPuEaMxRofTicn0Mkdh9ZU4Ju0xSBpZjsM+kUi29VrJa DmhXfTemWpGaUtsIgSnG9O3rlx0KH330URMWcqoR7rOZhNTWvmQFhKU2c3BTtYIV/wehJ/xXp6Bd xaEtO2Cbhp9mFXOF3HzwwQfN69QxOWHFMbgL4m0Ietqap65Pbek4qa20xoX9LhIZXosD+FgwA7ed EMrFRFiHbMRD4OOPP24UgdqaS1i3m6oQL4awdtV9D0z4c88998iccMKQ0jU1xpbUeE9dkHpUKS+c 5OehTnQs8FRDcM2ln+7uOiSKT2susrh582ZjEtZEVqX7Z5GElXK3+7SRVJzkD8huRdU1ISuGAw02 G4E56aL59kGqidKK5wigHBqeY5v2NGebt08++aQhrNqsj8XnEqaqZCqH9hX8pTeArBEp3zuGn8m1 kWEChAVfLpmwcuCzSdOimc6Vv3frMtTnlIr0VWMSHrILmJDY50s3K2rHGE0qkg+4VNM52JWWM6ev 7oMrZn1UXYMiZWwR3UpW44/1GKTlWuaQhjVk/aqpwTKgZdFm0mij7Ao1F2HduXOnuZcaT2PT0m+x Pqy+QW0EhLDX1CHnlDFWmIYaTY78kdZSCUvVBf4i2gx5TPUIYPLuKkQ5Jh5//PFqa19VfUrYRci7 mgXZrZAVc3Dp5sRSMFajhFxzyX6W5BN6pWFFutGoRDGXj+7+ZXT7kv2DVTrd0723KwhCmiCsGB/l SdcYwp9MhVOIzXL/qjfQsGg34gXneqann376UaziVcBkumT6wm3r5mLQU43BC1lRv9fcwWlN9hxu 5ETMz7QJC8LvDi3pwjmcxqK0kaUDUcgbTP2puSD8x1q5ClHuk/uwNtnaHOpKcchyz9EwAVA1cc0d nA7JBc2JHtJKl22aBL+NuTGHhzh4XUutJlr2nBrJkCCzNeCiYlO76moNu5CCa23YwV966aXGaVm+ t0s5jxXDIY0p2r9L89JELR+zOJBgmpqmvfuK43Dv3r1H81JbTmvVTnfYFQlsULvWCPKQ1Nyu5mB5 JF9+X35tv7f9u7K7cVlDfuquJ6cOQcBpRLrUE8OacOfOneYVrbgmjJEBMHp5mX078ybTQNeUruZg BiVaWT4nn5lcpjaBZSDLWJrSh5afYwatpDUMmJaqHqSEcG2LbGl46qmnGlfKVTmcGl3DQgxMALEq m9Du9eb9nO3J3erSBiwks1ZNqB/In/ac+ujkwu9qjSVaAmE9/fTTzZjW7MsaCtfncrZv07Bik6+m 2OmCTMgNFWcnrkmIQDrqrJps/7F8eEDJ8aViVMJKNYBdJUvaxKTjLg1rFdzTh0VmrrWHpyEoKzRn iMAScfPmzUeVRmszr8dQOkYlLIPItt7mbCew/lZ2dj72JGrFsmDu011lPRXujycuq22wTGrEoghr G8Pmd+J7EqwI4nTWVJyrhzHL3Jw6nrgcN4R/FfC/x1U8cespxQYAAAAASUVORK5CYII=