20000920 15021200 FALSE 20241031 12294700 20241031 12294700 {5C3718F8-0BFC-4F0D-A65E-0CA6980C657B} Michigan_Boundary -178.217598 -66.969271 18.921786 71.406235 1 002 Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.3.0'><WKT>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],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 1.0 50000000 625000 NAP Simple FALSE 0 TRUE FALSE Michigan_Boundary Feature Class 0 The polygons represent the states within the United States. States and Equivalent Entities are the primary governmental divisions of the United States. In addition to the 50 states, the Census Bureau treats the District of Columbia as the statistical equivalent of a state for the purpose of data presentation. Department of Commerce, Census Bureau ObjectID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. STATE_NAME STATE_NAME String 25 The state name. Department of Commerce, Census Bureau Federal Information Processing Standards National Institute of Standards and Technology 0 0 STATE_FIPS STATE_FIPS String 2 Department of Commerce, National Institute of Standards and Technology The FIPS code (two-digit number) for the state. Federal Information Processing Standards National Institute of Standards and Technology 0 0 SUB_REGION SUB_REGION String 20 The subregion of the United States in which a state is located. The U.S. subregions are as defined by the U.S. Census Bureau, except in this data set New England is classified as a subregion instead of a region. Department of Commerce, Census Bureau East North Central East, North Central area of the United States. Department of Commerce, Census Bureau East South Central East, South Central area of the United States. Department of Commerce, Census Bureau Department of Commerce, Census Bureau Middle Atlantic Middle Atlantic area of the United States. Department of Commerce, Census Bureau Mountain Rocky Mountains area of the United States. Department of Commerce, Census Bureau New England New England area of the United States. Department of Commerce, Census Bureau Pacific Pacific area of the United States. Department of Commerce, Census Bureau South Atlantic South Atlantic area of the United States. Department of Commerce, Census Bureau West North Central West, North Central area of the United States. Department of Commerce, Census Bureau West South Central West, South Central area of the United States. 0 0 STATE_ABBR STATE_ABBR String 2 The two-letter abbreviation for the state. Department of Commerce, National Institute of Standards and Technology Federal Information Processing Standards 5–2 National Institute of Standards and Technology 0 0 POPULATION POP2015 Integer 4 The 2015 population of the state. Esri Populations for the features. A -99 value means no data. 0 0 POP_SQMI POP15_SQMI Double 8 The 2015 population of the state per square mile. Esri Calculated populations per square mile for the features. A -99 value means no data. 0 0 POP2010 POP2010 Integer 4 The 2010 population of the state. Department of Commerce, Census Bureau Populations for the features. A -99 value means no data. 0 0 POP10_SQMI POP10_SQMI Double 8 The 2010 population of the state per square mile. Department of Commerce, Census Bureau; Esri Calculated populations per square mile for the features. A -99 value means no data. 0 0 WHITE WHITE Integer 4 Department of Commerce, Census Bureau The number of people identified as White alone in 2010. Numbers for the features. A -99 value means no data. 0 0 BLACK BLACK Integer 4 Department of Commerce, Census Bureau The number of people identified as Black or African American alone in 2010. Numbers for the features. A -99 value means no data. 0 0 AMERI_ES AMERI_ES Integer 4 Department of Commerce, Census Bureau The number of people identified as American Indian or Alaska Native alone in 2010. Numbers for the features. A -99 value means no data. 0 0 ASIAN ASIAN Integer 4 Department of Commerce, Census Bureau The number of people identified as Asian alone in 2010. Numbers for the features. A -99 value means no data. 0 0 HAWN_PI HAWN_PI Integer 4 The number of people identified as Native Hawaiian and other Pacific Islander alone in 2010. Department of Commerce, Census Bureau Numbers for the features. A -99 value means no data. 0 0 HISPANIC HISPANIC Integer 4 Department of Commerce, Census Bureau The number of people identified as Hispanic or Latino in 2010. Numbers for the features. A -99 value means no data. 0 0 OTHER OTHER Integer 4 Department of Commerce, Census Bureau The number of people identified as some other race alone in 2010. Numbers for the features. A -99 value means no data. 0 0 MULT_RACE MULT_RACE Integer 4 Department of Commerce, Census Bureau The number of people identified as two or more races in 2010. Numbers for the features. A -99 value means no data. 0 0 MALES MALES Integer 4 Department of Commerce, Census Bureau The number of males in 2010. Numbers for the features. A -99 value means no data. 0 0 FEMALES FEMALES Integer 4 Department of Commerce, Census Bureau The number of females in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_UNDER5 AGE_UNDER5 Integer 4 Department of Commerce, Census Bureau The number of people 0 to 4 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_5_9 AGE_5_9 Integer 4 Department of Commerce, Census Bureau The number of people 5 to 9 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_10_14 AGE_10_14 Integer 4 Department of Commerce, Census Bureau The number of people 10 to 14 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_15_19 AGE_15_19 Integer 4 Department of Commerce, Census Bureau The number of people 15 to 19 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_20_24 AGE_20_24 Integer 4 Department of Commerce, Census Bureau The number of people 20 to 24 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_25_34 AGE_25_34 Integer 4 Department of Commerce, Census Bureau The number of people 25 to 34 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_35_44 AGE_35_44 Integer 4 Department of Commerce, Census Bureau The number of people 35 to 44 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_45_54 AGE_45_54 Integer 4 Department of Commerce, Census Bureau The number of people 45 to 54 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_55_64 AGE_55_64 Integer 4 Department of Commerce, Census Bureau The number of people 55 to 64 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_65_74 AGE_65_74 Integer 4 Department of Commerce, Census Bureau The number of people 65 to 74 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_75_84 AGE_75_84 Integer 4 Department of Commerce, Census Bureau The number of people 75 to 84 years of age in 2010. Numbers for the features. A -99 value means no data. 0 0 AGE_85_UP AGE_85_UP Integer 4 Department of Commerce, Census Bureau The number of people 85 years of age and over in 2010. Numbers for the features. A -99 value means no data. 0 0 MED_AGE MED_AGE Double 8 Department of Commerce, Census Bureau The median age for both sexes in 2010. Numbers for the features. A -99 value means no data. 0 0 MED_AGE_M MED_AGE_M Double 8 Department of Commerce, Census Bureau The median age for males in 2010. Numbers for the features. A -99 value means no data. 0 0 MED_AGE_F MED_AGE_F Double 8 Department of Commerce, Census Bureau The median age for females in 2010. Numbers for the features. A -99 value means no data. 0 0 HOUSEHOLDS HOUSEHOLDS Integer 4 Department of Commerce, Census Bureau The total number of households in 2010. Numbers for the features. A -99 value means no data. 0 0 AVE_HH_SZ AVE_HH_SZ Double 8 Department of Commerce, Census Bureau The average household size in 2010. Numbers for the features. A -99 value means no data. 0 0 HSEHLD_1_M HSEHLD_1_M Integer 4 Department of Commerce, Census Bureau The number of nonfamily households with a male householder living alone in 2010. Numbers for the features. A -99 value means no data. 0 0 HSEHLD_1_F HSEHLD_1_F Integer 4 Department of Commerce, Census Bureau The number of nonfamily households with a female householder living alone in 2010. Numbers for the features. A -99 value means no data. 0 0 MARHH_CHD MARHH_CHD Integer 4 Department of Commerce, Census Bureau The number of family households with a married couple and related children under 18 years in 2010. Numbers for the features. A -99 value means no data. 0 0 MARHH_NO_C MARHH_NO_C Integer 4 Department of Commerce, Census Bureau The number of family households with a married couple and no related children under 18 years in 2010. Numbers for the features. A -99 value means no data. 0 0 MHH_CHILD MHH_CHILD Integer 4 Department of Commerce, Census Bureau The number of other family households with a male householder and related children under 18 years in 2010. Numbers for the features. A -99 value means no data. 0 0 FHH_CHILD FHH_CHILD Integer 4 Department of Commerce, Census Bureau The number of other family households with a female householder and related children under 18 years in 2010. Numbers for the features. A -99 value means no data. 0 0 FAMILIES FAMILIES Integer 4 Department of Commerce, Census Bureau The number of family households in 2010. Numbers for the features. A -99 value means no data. 0 0 AVE_FAM_SZ AVE_FAM_SZ Double 8 Department of Commerce, Census Bureau The average family size in 2010. Numbers for the features. A -99 value means no data. 0 0 HSE_UNITS HSE_UNITS Integer 4 Department of Commerce, Census Bureau The total number of housing units in 2010. Numbers for the features. A -99 value means no data. 0 0 VACANT VACANT Integer 4 Department of Commerce, Census Bureau The number of housing units that are vacant in 2010. Numbers for the features. A -99 value means no data. 0 0 OWNER_OCC OWNER_OCC Integer 4 Department of Commerce, Census Bureau The number of housing units that are occupied by the owner in 2010. Numbers for the features. A -99 value means no data. 0 0 RENTER_OCC RENTER_OCC Integer 4 Department of Commerce, Census Bureau The number of housing units that are occupied by renters in 2010. Numbers for the features. A -99 value means no data. 0 0 NO_FARMS12 NO_FARMS12 Double 8 U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) The total number of farms in 2012. 0 0 Numbers for the features. A -99 value means no data. AVE_SIZE12 AVE_SIZE12 Double 8 U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) The average farm size in acres in 2012. 0 0 Numbers for the features. A -99 value means no data. CROP_ACR12 CROP_ACR12 Double 8 U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) The total area of cropland in acres in 2012. 0 0 Numbers for the features. A -99 value means no data. AVE_SALE12 AVE_SALE12 Double 8 U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) The average sales (dollars) of agricultural products per farm in 2012. 0 0 Numbers for the features. A -99 value means no data. SQMI SQMI Double 8 The area of the state in square miles. Esri Calculated areas for the features. 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvWeTJNmVJXbecxkytSjd3dWNVhA7WOxghxwz2u4H8gP5ib+W NFszznKHixUjgAbQjZalK7UI7frRzr3uEZFZmSVaYJrDeY1EVobw8HD3d/zcc8+9z//k3Dm8Yriq RM9OEZkxnAmwHkQoncUwB46LEMYL8KMazqE8PcPoq4d4/OwMZwBu3Otid9PK09Y43F3P0S7GSEY5 4qPnsL/7HarBEP4H9zH+xa+xZzYxmjjkBTCcVHh8UGF4muKDOyt47+f34a+u6Gedn2H28AEePziE Zwz6d2+ijGOUSYognaLtORTGh8kKBP0+4t0tea8LfmTH7Mc0qgpuOICdzVBlGYowRLi5deGYOefg ygS+m6CyK7Cu4qOAqRC6MVreGJ5XymPyWlfBWm/p/ZU8XlV83MIYvTaaYYy58FnLj+l7K3kPf3T7 i9csv3d5e81rrhqLbfM1/PfFz7y8L9cNPm/4fvPifi/vA//N7978m/+5pc988XP0O8px4vNL7+V2 lj+jcg6etRe234zF8b74Pm7bGg+x7SL2u/Lv3KUYZkdLn23gX/2FgYonBEBgKrRsgRU/QYkMvoGA lUWIjm9wmJXwasCSk8gLx76w2T/bKJMMZwdnOH60h+GzA5x6MdqrMToxEHI3HdAOHfrFAMHjBwiP zuCKAmZrBa4VAOvrSP02BucO08ThfOwwmvKAATGPRTuG127JSbFHBygffY2DvXMcuBh9v4I7PUTm DFxeoGszrEcjuFmCSeLh+dEmyqMx1jd7WN9cQbCxDhdF/2TH6kc7eEGvrsF1uihPT2BGQ3itForV tflL5EL3IuSVketPpwaHQ1L6QGnRNQPAlpxfSyCgk1EmS72dBsiWJ9DyuHoCN49dBKvrxquA5tKr v4dtQL734j0Xv8PlbTVgdf3nLEBUJsPScVkGq/krL2+/ft1FYL74OEGq5ffmN4+iSuUzl4/rBWTR u9YMvrXwXYqWD4TGCTB5xiIrcpSuAP9rewFmhUNlI8jpdhVi5PBNiWEJeN4PBFpVCZsksNMpMJ0i LyuksCjTHBPjYzqc4PHxFKMkw9rOKrYCA98D2i0eXKAsHVr5CPjqc2TfPIRxJVzlYDstmHYLthNB rl8DpDnZlcNg4hCHwHrfR9xtAZ4Fnj4Cnn+NpMpw2u7CtyHaKxZhCPgVEIUG26vAnXYLwXSIE/Qx POrg4DjF8OEY5yfn2I6eoLO7Df/WDZh/Aa4XRxDA39qG5wdIT07gLQEWBy9sz4uXrt9KJ5P1kZdh PXUuTrYGZORRay9MPt75XzaWJ2cDAMYsJtzyJL3898X3Xr/9N2Fl1w5z1TZqdrT8slfsz8vGZZBq WCb/vOq7X96f5pg1jEte05DL+vzkAlgXhz//sCpDbHN45hy+CRB4KWJfz2deGlifrIIXBP+XobIV JrmD5/HDKgQugzUVHE/64nb3nYdLEuR7+8jLHC2bocpTHM98pM/PkEG/cGYs8iTH2PioyhKTMEav a3Fj00PkE3gc2jGw1nUYzRzM+Qg4PCR6wcQhDNlSFMJub6Lc2MQk8zCZOYynDrPMYbVrsLlqkR/P kA3GOHt2BO/gKdZ7OVLbR2g9bHYM1noGke/g2wptpFiNcnRMBucDK0hwfyvCjb7D3omP02mFbx4d wjuY4O2iwsrdm3DxYvL9y5hf4SjjCNl0gnaeXxlKS4hWzhDw+nU50ipG4KbCrhavmf9L/r+ZJM0k fl1gWLxnwVwuT96rtvcycLj8vsss5E2GufA5F4H6KjB5w62/9HMb0LJWycGrvuPyb3kcJdJyCmus EiOnDGt5W76rcsSmhME52jaH9WYwYJzqkJULulsVRY2CSh4HeYmpiyUEjEyByJQ4LwMwyiSIfR+j ShKUzx4gPvgC7dkp4pM9VJXDePd97FV9HKGLsGZQhR/ICWmFBi04+J5Bvw3EkcFgTNZTYCM5QTQp YPox/A/ehRkMUJ0N5KDYzXWYu3eQ9rcwPgownQHT1CEKDG5vWwGjh0MfD4/GWMkz3NoOkPXX4E1K fHizwEanQJBM4E+GCIoEgcthixzVaEq6ibjTwc5ahqrfwU4MHCcR/rHawIN9h/bvPkerFcC/c1v1 h38Zy1c6EEZodfvAZAxcYlnyEjh4mKJjx7Auh1dF0CBRr9+qKpeARSfxMiO4jhktT7KrGNRi8i32 5HXGZb3rqu0uv/biZ5krt3ddKMv5chm4Xsb2vgtYepSC5G3c/tWs5WWf7VBhVg4lNCxdXmuFegk0 ++b37Qgx70R2IoKlfJ5ZAFUziiqrNwmkZQsJYhQmQAu57GRuA6HiRMfvPHhQT0+RfvEneN0Eu95z mAd/QPblE9h2hPc3Q8Q//R/QOfEk9LIGyAvdXwIVT9IsdSgrCLOicF6lKcLhPlZnKdzu+zAb92Ce PYfNC2FZdnMDrt9D7nwUFeD7QCsyiBgKrhgBrioKcXZeYdXL0e16KKsKO/4Iu9kRzJMDlE/3UZ0O UEwTlLyDFyXK87FsP7y5gfgnbwG7O2iXJXqtLmY3dzArQhztV1jZP8LGxjq8dgf/vxkUZ89OUZQV JjYUNu3PpkiNLzpgtNLFytYqjOfB9nqYnpwgugKwSOk7fonQ5jDOwDjepVWSIANfZhfNY1VZweOd 7oVd+jbs4+IEvI7FXPX4q153GTTNFdu4DsQubuvidi5/zpsyu8vb57yPvQ48uVUUSKuZsCSSHzKn qz5nmZXJv+XRCoXcYOQVSzcDfa+/GiYoqwJ5ReZ09cGTzYjiz1dYTKou4LdguGHjIXEeLDyRdr7z 4B2RGb6//y3Saox3ti3sf/k9pn/3uXy+t95H0Gtha83Ci60AVjFn/o5RHpwzSGYlSv5ROtyKZzBZ iirsIwzGwGQIF1PsdqKJcQOO4UZZoZQsh0UrcrLt0IeAVZJJ8grbqxb3th224gTB6THCz/6A7MED 5M+OBJxcwfCEO8EMQIUqL2E8g+zpEcLnJwh2N2B8i+DdO3jnwzVMXAvPow3MZhNUJyfwwwiOaPnP eWQZksNjDA5OUAyGyOIWzhEiG81gplMkzsIvcvzk1x/Jyx3PSRTJOZSTsKQ1yTXrKlSuxKjqIuTE sRM+xPsuRQMR1SlnNJODmqVO/iYsXM7+XWZPV4PHyyb/8nPXTf7rtvmy95g30JyuEsSv+8zXBauX AWNgYkS2Xd8oHDwTonDUvHNk5fTCNi6D8FXbu274c8rMs3vNawXZrI+ipE5FRuPkIqKwnotNAN/P 4L6cn+Psd3/EIJvh7i82sXHyR0z++A1sHKD1F+8h/PlP4D74CdqtAJ0etbMcRZLD5hrvllEAl2Zw HYfptMK06iNEjl4PcJ0tmKwNjCfA8QhuOoObJnBJKpk/Ao3fMugLydH0bK9t0I0dfFPhvTsWceCw a87Qe/oYxR+/RPrbPyF5firABKHfV3ytwqE4HaMcTJE+3IfXjRGXDvHGDt7ZitBrxxieWIwPDtHr 9uGvreKf4yAYTR8/w+lggtNxCjM7R+75okFOkkRuCpPch8tL/CxIsbpVHwdOtjBA6AeweS7gNR8E GJehMg6jch2xB/SDgGkYvfiZAYGTCKGocrnbU2y/Snda1qWWFOAXmMj8+1wX2lzx2ot/L4ejF5nT yyasewmQXRfqLULWizaC5e1dFXK+TvipdggyKN4d1FlAbOAfgY3F+lBUyQv7+l2GLx8q2ZKLX/zC h6jSDt8LYU2AqCwxe42sxxsNfubpKab/+FucFwW2Pt7A294Bin/8A1ySIfrgDuKP34Z3awdVK0Sn GMGbDGHGZCbnKI9OENzcFiAtT85hu210oxZOIh+HRQ+TvMKG5yNe9UVTQp4DSQqXpnLHrsYTmLNT xFEH3U5X7tyhb7BmxmiNTlDNMqYa4VkH++gR0v/2eySfP0Y5nL4UrC58RTK44QwuyZH8/hv4kxRr vzxD//0P8EVvFU+/GsELn6NP9tdq4Uc5COrHRyhOzzCYURg1MGGAm8kZnmy/jTyMcCs5gxeFqNpt uE4H9uQYzxOD8fMDjI/OMExzFP0edrdXEVjA1uE7iWWaVwg8h3d/cR8+4/lmWA+l56EcDuBtbS/t kJMbS2V8WC8SQEpKD12/klCTGV/qqr5FHaJcvMNfnKSLCc6zyZtzM64Uievf8yzX0jYvv+/i37rf jAS+zRQy1wDo1a8ja2QG9NUfFNhIWWcN8BczqxcHdSZun7qVRmgpfBPDM6olc9BHlbvsysjtqu/y OkNij9Aju6jkhL6wYyLAKwX3bIisjJGb9vx5HpCiLOFZHpQ3D2VMUcAe7sM9fIDzJMO0mGDrJ9u4 vz5D8IevMPzkS4FMf6UDuQXPZrC8aJ8fIPn7z0TUtoGFyzLZFidUlWSw/g6CbhtrGKPodjFFCykT Bx0fptMGBkP5zpLwTVLg9BxeHMFfXUe700LkAZ1qiuDRA7jPv4QtSnkfw77pV0+RPTpAMZgup59e e1R5gWzvBMXpENHJGTqxh+3bP8fJRoDR8RFaW+sImDH8Pm8IbzjseITqT59jYAOstslYHKalQzWb YP8sx2Q4w6woQawubICj5Az7x76YPE9mA4RxgLLVQq9IUY3H2I97SIZjVK0YcS/GSqwXKk9pWuuP nmFoAXRRIHj3/qUdsrC8kdDOsjx4jGwLGQJ5f1VlyKoRZmWugnPOrJWtwefiTVZvzmRgDeDoxNaX vlxw18hkKSX/Eo1qkT27bCtYvOZV47J94LrQ78WxSDI0r79uPzl/iQVkTQlGyMvZIos6N5UqWHk0 QzPaoqmJx52MFqVgCMNAhogM0182P15FeK4KUwVhKlfIDr3IrIiggbIveaPBMA9ReO0FG6syBG6M rm1hLOf+NUCLBzhN4B3voRqfA4ND9CbPYOIY62GBtZMD9EwL5aNnqBiyFSWK/RMJFcI0h3czQfF4 D+nvv0CVlYhubyK4uyusitu26z5svyvgFSHDbj/DmHffpACmibKr4QjV6TmKkwGq8QzeSlcAyRsO 0AtCIE3hHe6j+PIBiueHelKeHSL55gD5wbns07ce9WGukhzpwwPY33yCzf+pjXd338Uj42P2/Cn8 dgtmpXbT/xmHSRIMnh5g+GwP1fEh7GqEuPBFnxwnFdpBjlncwTTsyvVQFWqsHbVa6NgcfpljjzpG UsGkE8TDcwnngrhAd6MlEhQTGdS7k8yJ16257Igv1Axbs0RZ8PIg6LTbqIYDuTE1Op8wJhugoo7q pojNOQI70xyhOKAtnOVEumiO1KGApZNYfV3LvqX5q66IOhToXifEaTxQi2007724vZcL6S8L18wr 9+FFULsKhEtak9BtPlDnv/HhuO+1V4kEhjqVJtd0ewQw/vA1uUsEsErkdQj+5iHuy56Xs05UFDS8 xvDGneTOly5Gilh3s8rRtgWsHSDwZlgJffg5cEZvk73avV0VOezZGezeE7SHzxCOnqM6PYC3u4Le Thtr2RmqT/4oGlS1vY788R5MYFFOEqSPDoEnx8gPThF//A4M74SegY181dg21+Ct9cVVLldfmkpZ hw1DBHkip6HiHBiqdlWdD5E/OxBNqRrN4PU74k6nMcOeDwGaZA+OUR6zsEfFhuJkKKzoO4HV5WPC 8PC3XyIaz7D57wu4m+9j8GCA8mQVfqejcdKfYZg8R/7gEQ4f7mFgDLI8QeveFjZWPRSR4bxH1wK9 jsE7Y8doGpOpA+Wkw1Od9AQh5huyHMgKZo6AortOjo7A169SVXoss4K5Dt4QNRysHTOigeRElxd2 UHUsJkXc8THs9vZCfKe1BjNE9gyRTeZsifuUJxVGR0P0VjsIIk4qhyIvkUxTqVpgpnc8GCGMQnR6 bWFBRVmgyJi00UkaxaFkFEtmfYtS/lY2dnEXr9KEKPDzv8tsQf6+mLybP/8qbeyq112f7buoxV33 XoaD1J0INtSqiQc0QzdVAPPwdwmomqFhtvoxSX7ENeDSOaa87iA4VtCyp6uGXGMkdVZwS12ll2Nj J34KqlgGKa9aep1Mhp5fwTdTFNW4PigZun6OpCowK/uACbU+ibFukQPPnsCMTxFggvbsAP2zL+BR kHMjePQRHJyj2DtB/uxQAIHMqjg+V2CixpQXqCaZhHsU8/y1noR0JvBhfA+OdWen56hGE3mcbMuQ FlCjYo2gGwAUsxk2jsYKbATjwEeRFij3TlElKapZivDWljI0Wh54XVmD4myC/GiIKn0xbP7OdY+j GWZ/+AaddoSbf10h3r2D4YhAugK7ujEPyX+QUeSYPX6O86+f4MlpijSZ4M4vNrHZ6aPbNljp0tqh F7j1WEPGDJDBNNCEHQ8THCe5VhEQiDiRxQZCoKJHjhJfpaAl2F8ZCSV5eniZ0YLCeUGQo8k3Hl8K +5oRhPA2N2HPB8BgALdGi4OD5xJ0vQE8k9TgYOXi902I6XSEh18+xTs/uYej40NEUQDf9/HsyQFW 11ewvrmKJw/30O/38fDrp+h02wijAClLvE4H8D0Pa+urSNNUQbVyaHdbiFshtm9uviIcW4AGr+EG bxQEXszYNdu6rIm9yTBXJhFefM3y9nmsYq8rxystJ4R0+JZa1OK6u+ornhydYnA+wsbmuhw/4sxw OMSDbx5g5+Y2emsd+L6HnDfDLEcURwqOpNFXbI/7AQkrq2v3V5xeRMKrhTVfY9V664FXYMsjs/IQ ew6l8zBS87t+UQO0vQJWcof8wh7S1EP19Ah5coRtd4DISxFuVAj9PqqhgfMgLvOKgDMaKyCluXhv ykkqYaCloETg4he1BtVkKlkhW4MVD2Z5OhAQcpnaEwToeh3RpxjmkFXJY7wTEIgCH8GNLVhSBGuR 752gHE+R7x3Dhh48YYpWLtB8/xzp8xPJ8r2OuP5tBkE4e/AUnfUO1v/dDoYoJFRGi+7X7+7NKlnS VIc8zTBHRzj+5HM8GFdIzs6xH63i7Xe2cO+2j3asr2u3gG6L4GPEz1YWRmoymRPgNeN5BozEtd5S M8hkWlQGSFDEdlJoETmjPIIZtSZkDoFPMDTYP1YfHasKxik11ZAfBFwu72J2r78iV2N6dCQGZa/f RWQS+AwDxa5gEdqWsAXeiD0zw2yW4Ld/9wkOD4/R7bXR7XUwOBuhyAusr6/D5QZ7Tw+wv38grOve 23eQJAkOnh+hLAo8efhcJh0npmTUncHu7S1s39x6wSf0ooVAdrxmfJfKY65xg78KrMw1VoUrPV1S CP1y6wCfpsjO+SuAWXvYLmZNL342n0rTDA++foi95/v44IMP8MWfvkKn28Jv/+EP+Lj4AINPBvjZ v/oQn3/2FYIgRJsFvQDe/eht+LyTzbcpgabebGpmfFUSQyKpvMpQXqJuErcSzWxwwQja9lhbSLZV Iqtmy4cAJScYKT0cOh7ZWsoIGBFLd+j1KnN0ghj+wTECk6DKElTDsVbmU1PibVgodCW3XoIKgYcZ OK8XSejntULVMvhledwCT5iXmSao2pGAEGeFHNTa1SwgFoVwtDIQbNZXxb4gukUcwbQjhHd3ZHvl cCLfJT86R3E60trDEUuDTlFO02ttH9/H4N4yg5h+/QzR7S+x/naIwWGCKlqB2WlpJveKUSQpJk/3 sIIC5vbtK8t7eKI7yCSjVxiG6wZuMsXwd7/H/uEA3q0t7NzdwQ4c7uxYbKxquJNlelqYICUYEGBI DsiM2j4Zk0FJMOoaeJQiR07CPE5MvSr0swlK1K0IYLznCPCVDltrBlvrtMdU+OKhghrLwDzR7q5h Ldai7Pakk4NHphV5CKMEHkIE1ormSrAyziLLMoRhjHfu3ceTB09xazOWcK6/1sPtOwadXgfraxvw 7ns4G55hc2cNvhdgZ2cHaZ5iY3MNeV7IxPQ8D/2VHsqyQFlUso3ri5SruYVgYaFofpbO+Cukp1dl 0NwrbA7Nxyy//io2SMIiWT4/hGdZUD4TDxUfb9jqcnaVTIxbDwOVfgZnQzx68BhPnzzF9u4WojjG bJrg5PgUD79+gmeP9/DWO/fw+OEz3Ll3SzCFP42+ReG+KcfRHX3x+8h+MrKS9OWl76AZgBcLJaWW UNA4FcDS6PxF+obFbsCPPdg767DnVu5W6WGK+MGn8NIzOMM41yE/PBPxg2BlQ19CQumgEFiY0vID YToq6rmsUEOoZ2HDAG5WCTMycQBL2wG1qDoGqVLNKrrJDPneEViZHH10X8HMszCsS+Nt3wD+akcM nRTgqVWVk0zYHUNA/v7BB4E4DgRM3TcPsbG5iqx3C3snh5idJqiCCM7zsXu+j04xw3l3HWc2xsko QXpyivvhGCuhB3vjthQNLw/qNGuhwygvMUEodo79Lx6gMAU6H9ILFmB1RXk0E6gEKx5i04RsiYZ0 Jla9qWQ2zzfoB7yoc5RMVvAmQ98NC+KpU+lXqktDHDpkaUzjs5tCRlYvV4uEjm/d9MBT5bO8M3N4 e6U+L8t1GcvXmO/D39iEOT7G9PkeotvraHm8OXpIkwJT3pwk1JwIi+q1VvDhez1EnQgz3nhQYfV2 D35AXc1DGK9jfbcv17ewMy/GrBhibUfbnMxZDEW5CyCx0IcuOLYvidkLK8Orx+uaOK8bF99jXiht uTz4/cSyxMSFeNcqkMTQrc7j4TEIW8pmis6UG4xGY3RaPfz045+hKpU57mzvwtkKt27flLDv9r2b EqGsbPSxubmF7LeZAJdPP11djyk4Q/+2K2uAfPE2sMwifXUKL1M9DZsuPDZ/Y1UzKwYIy5b/q6ho E6szlPPgtjf1du1HYjOojp6j+tv/gHw6QnlOZgPYmKFhqoAl9Iau8QplXimYEEBmeS24e7DrvLCN iPJkVwzvbCsSX5CEhdSkJlOUkxmyR4ewK10E22vKwmjMIegxrp5ovR9nUTFKJPSrkkIO9rexLXyb YQIPfr8lIF0cn8H75hE6v9jB6GSCb57NMC09KSx/PjlDp0oxjFPMwgjGc2i1LM6iCMMvHmOz8NC+ c0PLlR48wmw0RevmFtyNLkomT2i8/If/jrSssPHuKtptGmWNhHhkOHLYWcpUZ4YJUAQrSn9FAAEW Pmetg2NIxgseFOP5fiNRHN/P16WZQ5azEoEi/cLfRDDkoGjP5/s9g/t3LeKQnNyp2/1vf4Mxhfs4 xvaNNRR331LhXTLMM2kNlDw7EEmgaHcwXWEXjRzHn36F/E9fYdbqYcai/G4XG+/exfr2GqJujOJw gPHZCCxP91DAmQK+H8FzAdJyJgzNs3rHt07Zkc6DuhLkwpR40aWuv/m+Zm4sfFdvUmt4lbfLvEKM f5kT/8prrskC1hESycuCmGi7F55frWIJ6tcHOB8PcHhwjBt3tnDrzg0Yt4jECseILRXQWzAm/ZwP f/YB+v2e3Agb1sn3qSWCyT0m0PieRdKEGrvsD583Ap+XjG6SNWRNllLBFw9OIXcgbkraP0h/LBZG L7todUfkQFS5fhDDS97NttbhttZQHt1A9vvPUfzx/xKEnn/4C2EzabVBMUjkDk7XuMTcgylMpCa1 apyhKMdy5+Vj/uaqAFg5mCB7ciBeLYZ03PTsky8F1LxuS5gTM5LF+VhCQIrf5XgmYPXnAqr5qJzs I5kK29zQb9TKpwIoLjLIpyVMVeGo08Op7QkIrLYNVrssIzLodlrYfzzF6WdPcGs0Q3Y+xJimWpSI 946RffwWWjduoPr0D3DZKTZub+HGDkMoZUISjlF6rCsXCFJiY8r1OPD5IGD2UMufBhWQxR4Caogp 0IqBXlftAeLFNcq0skzLXZhVLIWFEPz093jm8PyowjQ1UvO52mOI6OFwYjF4ciL6ZmkDHB8N0DlN 0V3rohqcAxFwI32OaT6BtzdDef89nD18htPDI3z56AxlplraJHVoZQXW2m2pS0xyhj4+wk4XPgX8 5m4uLu16Qlh277DwxYTqFr2yHMXg+gC9BESWS09eZEjXg9bcT7XE2K4qpzHfoduCAGHddFDYjZoU xLZAR2LDEmkGbUJAvkbIB0HL0OJkJKO6sbkhOmVWZAg8vpZMjXPVaUkU/69m10zK8HO3trbm17pE xNLVQY87H/DYcEH6lC2qbmQfZT9UU/cvm88EzSo1gi4yGcvmOAqZdbqTGyJoMdO1JCjq5k3tw6j9 G6YlhZHcSX5GsboO/6/+GuVv/jOA2r5/mW3X/5DUcFar+7UjuZrmKE7GsO1AAEayd3w8yeHSQjJ9 1MEIRMzuKbClyA/OYAl0HktAFGjJ2ij280BqUufPC1ZkV14nlP3y1/vwt9YUVMsE91enmOUdnE08 MVnye1Cq4y6y5Q2BghNvbYXnqI0vvkrx9eMjnJ9O0dtuY2enhcH+CLMvn2H36SHC7BT99zb1GNTA 1GTxCEbKrGumVWpPsOZwTGcEIX28KZds9oUgRPAjE2PIxyFRnZSE1KEkTaYUxqGF5QTB/eMKZ0NI NrLfsVjpGZS3O6hcB2t9cSxg71mG2ckhjgdDBPkUN+5ESDY7GLs2Bgf7eOvZM0weP8M3ZwX2wxX4 27votxUsZ7McxeExZjurGM0yTMYT9DdWENtGP1HtRG7SMmnI8VjuwxnVzAn6FC/KAlcZL19d4vJy hkVtyNDRL/rRxWz0dQzLXPWYTnmJhJZrI5uhAKEgJGyw9qOJe10gwrsQyhZFhcqksNLVxcAGBv2V rrApntuCLZRqrc4xgdew0XkrH+5UXYReW6Rk70hUBIxq17+o3sSI5lDpVsirJLHmikUDv4t2f/VT EOuaLzdH/NonwXKHQFKwROOZOl6XD5arhfj5QWwODidWgTDqwb/3Nkr+fP3ZS0/kVdqmCPIJ73iu DiGBnPV6olEwjQxhUJLpI5MSV7vOvnKYLMK95lz+mQlVM2i98Hox/I2uWDX8zRVYJhd4JPf3sdpq 485mG52ulZbNdGJ3YodO5LDW4XGk3cSXi4Ji+cZWgMGY9oAObq54uLVtka72MT5LMR0MsfJOH9FK iDT71IpoAAAgAElEQVQ3woR4wTUYTYbVJEGbQvZGIBdWS2CrgYqDf5MZ8b3cFt0pBCz6sMx8G8rI 6K1qQEuBjO+nSA+UM/0M0bsMGyUarPYt1lYgjRN3N1sYTSuMZxTt21jpGEkEjKsSh70NzL7Yx6SK cNLqo2SRdOkwoffUGtnu8aMD9D++D8truCoRBgxzKunpRgbKa5KteTUM4fWp4KT6VSWlJ3qUOB/q yTbvQHCRBS2Xt13vjbr42gYk6DLn79xZOV6q6Vw0fbpr6xNlqxrCCegqw+U3vPD6WnfWUItATf3K Vx5VAxbPsWZc9QYuNzaGz/I+gcGafek8E03ZMsJqPoP4sdQDdgkLAjLYZtLVWqcej/q6Y1goNzVF Lckqe35dKnRFi+S5Ik8RTOiYio7KlNQNOytZk+Uhsp26/siIraF5/1yMnzuYq/nzEjNLOtxH3gth f/Ur2C8/E2Pimw4CEQVlAR/+TcF3liM/GEjGTb5t7YOR7yAOxcsbwT/d4EkPVbtiiOq1Y0kkUJ9j eOvGU9jhEDdvTxF3Akx6VrJsffZ+KieIaJz1A+RBjBliJKmRLhYt+qYscHPLYnfTICsMTtiHfzNC f1P9QJ5XZ+UILjXTEkAREyfZErN3/Ls2dtYhIn1SctgY0k3V9sCkLcGEDE30LakxU6MoGyEK6NXm 0CbUJCMT20Ogn8P3no0q+VxqalKwXBi4ANhcp3XCapsgp0yPNgqCUhmFeJ50MAsisVOQbfL7CMvj 9yoNvhxb7A4m2GgFKEIfLepvvPi9UCQL8WxZvUnwWpXJZdhji9dqJaGQ+ruAUDoSsPuD1s9lZfpS pnOZVF2tKak2FJhIrUTQ0CutJleW4Vw39Huo1tTM2WY2ckjIa6g3kcURrIpFVFT/lhsSb2KmpCNK 9kd1eTUCiwVhrsktWBMrHjzWVenWLkQpfC9vEU2I2YzlvJ645UlqhNDUJYECqiQbbL4QaXLg+oNJ cGLmLpvvg49AxDRxotbhY8fSF6NILgIa2RlKVFUjntX1hqDxjpY0jWdnVYmyZWB++iHs+jaq80O8 6RAAKl98rBgmMKNEvVvMXpGBCaPCj2vU9m4Kx7Ydw9QJAxOFMOy1zLqt0RDdyTHsmofVdoywSBGO zuAlU7BVIWc0J6nthBjHnjQa5MSNY4vtDYNO2yAs6IeyEr4RTGg/oCguzIeaoOiW9e7wkNaUi5cD AY2gVTV+O3mfTgH+Ph9rxjDLCJJGNC/RMaTmTAGKPcoYCspXridFM6gdsQCar5FW1U1tOv29E8oB BmG4OHEU6s+G+jNLWPRsZdEPU6jtok4AyycxnM3h4yQrMf7TN+j/8iMEgcX56TnC9iZsQV4RyMwp qkr0wwpsiVJf43NG4hZF1q6UOjmK0CoqXxK8eTMg+NAHJoyF05o37KmA41Xu9JqTiJVAkg6Un22o JS5sZLfEksy1/bCUXRH0OArkwthUTKfFiP60tjLGujmevocRkpXwrGFFlnNGwKgUv6MS3zpcrj+b 2CChct2B1TgyI2pY9T4tLYShhdJKfq6YBEvWBv1pkn78Nxl4XiXCFvnR/stQW0TzOpbmDpBXze32 tCNghqwMJXPIg+B7LbHka6nP1bVWPBB0stKAJ599awvmf/tfYT75HfzHT1CdHKG86nu9yajFXdGk GKf8WAdPKPUBKfXRzCdpCUFWXPoELx7Hs3O0eBw7bZjxGIaowefnIlQB3xXotmgPMDJRyVL4o2yK oVUtiJMFVQpE/DdBa54MrTG9KZMRfULbhc0BSh3tC/LKXSE76sQKjmRIbC3NXvh8DR+nLjWaUHh3 rOi6kFsRXauAuOptDVxrfTWUNqxPmBVd1GOHk3OH81ElDIvPcX4IqxITqv5bJph48eqEQm7weH+C uLQIvBD5aIKzzCBkYlhEZ95oHdpeiZavGkwzkXMkc01WyrNcKsBKYGB0IYmBWnNqwkYNyxphm8yB YzmxtVihRp/hd8mQNHWNTXaRd2PqaJcWkFgezfziZzYqEDOMUphNrmZYTteEnuIjl9IjJhbYecWV /I4a7pFo8Pjwc4XZSGRSexbhSSgoDIE1pHU5X7O31letUtk1qW6MTFrLaGmfHovrh9ooSmGXaoiq Gy4QPLmftYZ/QXS/PC7qWu7FLIm0NB2pYMn6s4q+qgVYNe+7igYrZXVAN4b5d/8W3sfvwh6fwBwd wzzfQ/XoCczTZ3CjASpaEP65DJEKrNgqaIYVPxgpUb0kkpaukHX5sHTq8yzR6Ho+gKGnjL2+yBzZ goazkbQpDOGsN3eS85RxwnMQJMRLVTMbbo4lMPzNvzVcqxlUI+nVkYyK5Iturg14EbgILCrOq2Aq XWorg37fSA8x36/k/fRfUVAnYB6fUw+qdRFqE8Li6zDSsu++AlVLfqsuxs/iPjLLSLBi2MgwkzoZ vy/Fe4bJZIWN7sbyIPUO62TPWwH2KoePT57Bj2NklDDgiXolx6g0KJwnNohWyb0KEFkyEk22N2xB sopiVxA+BOv4urZUEfCmTRFavFq15iNJp/pOIJPR+gpy4nXiXFkGKAW+60yTrxqVbKvuWigXEaGF 4W4AH5G0eWEnT8mGsgLAsm6Psk/diljepz+S9b9U/C2aXZ31Y0JCav7mqbz6WpAbG4GSMpEn29Ri aD3SmvFTYOVguKmYUut10mxBu0UsEnjKNlUrDLSB33XjVbZ/FdMWIMYT9MYdUXiCVzqwKx249+7J 1WbPzoHjM7j9Y5inewgePYF78AB2cIpc/IQ/Ytb0ssEkRUzHfiAmUbZ7tt2WhIPMCmrGRNflIxAZ pgAJXrxgSIlGqfT7EsOrxOhsbdCSNi5J5YtW1aCOep8oOmvY1TApDm5KWFSTEHXUufia5nxr6KgM Z8GqRHuqWRZ/qzFUOy+IRzdh22Htf08tjZ/DXRTrhKchG78mfbh8L4GGjJDbmqUEBNVJCE7S6pr7 Xem2R2NlVg1Y8T2EI4ryUaTXZxMSEqS50hE/R8CW7nhTYnZ4hM37NzEpMmzQNBoqujMBPSkchiUF b4Z7LUzJFsoC/tIiFS1TIPSoaQkHkWXvyKQYHnItvbzk5GS2enGD1QnJhnaRaL6cpAwPDXIEjH+b O4RbAIXqPHUwemneWYZvIobXc6DuQqFAoaRCLBj1HUjq8iQDRwArUJm6RItfvSK5ILrX25akGLVp hqOFREtNOOqWNKu5PlXbQlQi0lcROAneYg+Zt6bRbGVl1IiqXItNMcMlZqoApoC2TFAWgE4QfHFd QpApGbm7NMnR6xy8V9X7vDx1+xqv4VW8swm7swn3/n1Rc+3xKRyZ18kZ/GfPgYePUT57imo2VtHl /ytgFSirYk1kVVTw2EVzdwO236mFdk/0K6mZo5rN8FDintrbk6bqceGsbphVHKHyAhSc+LW/SUr1 qD0tdT3g5G2ea0JAYVl1Goj16WIcrQFLfDTq3ZUf2XZtJBVbQyOa1tsQS0MJHJ2yTlS9YQw5+R6y Jv7HjCKJoWYeNcPINTrE5c4EAgGwFuYlIVAnBRhyEtC0w0OdjWRXCHHVKyiKvuFp3SMJOQGLi4gk tVWDy9ZN9xKYD+6hHVaIXYmYiQ2uUwmHlufgZSWmlYfCRmJlpD6YI1Y4YO+uMueqLQgNmUsha3ZG nrIHMhYJ/ipPLkmty2uOfh0aNu2DxQIQq3epthSwyQCZi3I6Wi20t9T88qEGZVQ7o6ZDNtdoPk1j QtGQ6WOih5LanGRBWSNINqSsUCUdrUrgv/lKCtpN9jOwLdXPau2an7XcbaLemfm11PwoSLq6lY/2 1qvdXfIWMr3Y60kHUl2+S2GW+8ywlUOPT+NpuJpIXQgJSe1TMYzyBKmRa/n5l8/Hi91KL4eT8286 92cspTRryl1Hwyq2USjklbfagVvtAPfvqE3hbABzegZ3fApzcATvwWO4J0+kd5ObTlCJtoN/mrF0 t1zUQzQPG3irbfi9lphbOfzVroR9Xq9Tlwmpi5OCu5hHCWJ8YVMfyVsI4zg63Mm+6NIPQnGYNyDQ AIzh30uTRh9ntkVvQ3r3VkAgWyETabQqGfUpusyympA1DKxUALHeUG/myuKon1GTmoLCeCWdGG5u e8K4aOYU6YCaFL8G9W4K+5EK9wQcbpMrIYnFQRhdbbeQLhE8PHpdNQ58MqGI7K/WsrhNApq0tuF7 kxKrLsW7tzqI37+PQdWFMTnGwwniDkOX+vtYg83IYZAXOM75QfT+qCdLTh/b4Ej7E6AQP1Ilq03b ooBnKMSXdAtRFIZf2wG0lY6uQCWJ/XrZKk5eCuDNgc7LFHlJob8+340RrqK2VleSCbhZDb9pY2nE 7nnWjjc1MhSyNp54ggVht9aSBTIVMFWy0ce1XliznhqWMZMYCoi16HQvA81WXrBHLDqlNh1K5f0S FlZSfSGatg3le7I2UamgE7BqspPaUYOZzaYdld7YCJJ8P/eLpVIvAFZW8kM1PmB7WpXXrspmLMbL /SBXs7KlWf0CaDHdqnGqmCnmGccLb6NKurMOt7MOW73DdbgEvNgt1J6cwlD3evwE+f4+qvPTOmeP H240IZzacOsL7aKT13BxxxqnRbdqR2IOlRKiKJBOFTSxNg2jhGmRelBwJ3UgC5BtiSFFf7dacCt9 VGGMvPIEJNK0Bpxac+K9eXFR1T/ScUE1IwUCzaQxw8dJLu2f6jbBDdMS42CtXRHYOLTbroIfEyRc DVxr1rm0mpHtJFPVns5GGq5srtQ2CYaDJIhMghr1WZGBNcX7WiFFlqGhHsGSbDEMDWIBRL0ym3pi Pp8yFAYwIrDW358udwFoV8qyavd/eg92fQ05GzNaD+PzsRQwhzw/8nUYohixPAQidATXO9gl+CLL rOsHaX0QbyLZDfPgNDhqpjy0FpHNxaKR19czm4+wRU/OcLeifSFCWjIUq9AL2cW0EDvGpGohKXxE HhMC6mXzLOsdPfrO52GYXIWN4VfaQTWWhsXFrwyKwMS7TgNiSpGlBxaz/2RhdQqX81GMDXXG9LpG fE3YKs/LXUILvin8hyxC57HiikhkqNW47mnFzDYN6J5kRo3T/aKkxMfSSjv5tvyLDSzFOFqShta+ HKpmNcbPw8HvOl7OzpaZl1Ja7YXDS4KwWV0JbjLYkrnXhtdfQXm3lAVWzfCnwNkZvMEQZu8I5utH cE+ewj17CsOaxaWWFt/PUH1EirR92ie0dEj2jf6q1TYMhXXuPa0LBKiO6lUs1JbYpWYMhsI6AYpA 1RRl82+Cnpyg2hXMMLDbhet2JGVPA6iYLmu2xAlNILrcL1z0ed75lu4BCnD6GCd5415fPl2Nd6ph WRLiSdcGWhXq7dQgSHbD12mYp68naFF7Oh9ZEeAFcMwiBOTPsgWiCTmlp1bIkh+WAy3Al6Cp7nvV uDRXUbNFCSO1JxdDQb7W96308//s776EnyZS3tQOPby3HWPf87C+s4ZOn43rdB1OyS9casNz3Vh0 MKAdQodk0hhqkVXZCpnLkJYU2ClCU6dU9quLN/B9lGAItClyo8eM2llB86iJUJJ2GoajBMEcG8yG 8vgvmTTJ3MRGJDeYpcVjLwjnqjUJkDUlN0IKtOC5YVD8m4yKvUfVAHrRN7RsZH0hohJPB78+E0D+ nHnNIyiZGnXZDzOw/M7SSEGbLkqIWndt4POSxGCZlAlEF0vKCbs1hOiyiZ0jiX/z8e1rm+okLEsR ltYhE69GIwLWPXJIMS4jvNLFtoiZKcbIggJuYwXYWJED47GO5S9+ro3ejk6Ap3uwX32N6quv4CZD VN9xqR8JVyWcEPatzERFIYlNLIX1dqjgJADF37F2ZWBZDMNCsS9oVwLpCBHwDl37EBge8nkeX2mV UNse6M9iKOhxlWu92TThEc2SFKWp91AKbLQdDoZp3CQXlpUynDrzJ035uJZ3bR1gaMbwS5KTdUav +QyCwRxoar+TKA51CQfnFsHFCXOrdSfRsZghVGCUvyWLyQyfhn9NY4YGLEUzY9KgXgdBAY6aF8NG LSwezypYOuQr5mys1CHSm0U7Bd8rYbHohh7GiPHVWYYq1cR8aEoMZmPcxpGw4Li7K613TmnRYP2j LNqgaVKGfBxsycwQ/VVDmExdg6vlJPRrtep7sl7bjUO+Yb38PkGd4tQitTqNyrCppg6lmEl9DIoK QxaFo0TPzxB7yn6aCEl/XfKG1WNuu6g9T+qlqu0LNGDX79GQTbbwwve71gJV+614PUnoymuzXk2n 2dIiQ6jXnIJhs+CFjqZ5nwBxxbAywrQcSH/5ggyrG/QQ2KxOXb/5JH6VE/fFsgJSQja779RxOVPM k3l2o/G/kDI3sTTvPlyYcTk7yC9O5OVPftmQJsVqIXBrS35M+Y6I9+b4l7B/+gr4zX9F/uArWVz1 Ww3pc8Rsnbdwzzc/cl0a7SwxrdPcDPeY7WNHicYcKoJvLag3Yo6AkoWTpoT1Xb7pp8SuqgwJ2dvL 5yTQDKCIz5lmxjRTxx8HV+tCy25iDa3kTAiAEVAISixCJiMiSJGEEkRE16prDEUEJwjUzIf/5udy VSGJTGqWpCvT1HYI9tFKKyRphc7+Hk6CG5iNDJKKHR08hIF6t9jlgb4raWlT1Z0eaq+Y6Ds1kDIk JACz0Ja4QQMoV9ghkyFY3du1iPxmlWftJxLJArtA6QeIWlxAxWGaOEzKCn4+xZ2TE+R3NpDPMpRh gNk4RXY2kEVV4riNYjqFOTlGXBSYrqzAra8j2tyGu9S+5+WXymIRl8Vj5lqQu25QqIcLQAlc3QWl nk+pOtEi5shyMVnN5JF90qrRgGJW8d++JBd4zBrv2Fx2qRmQDp5rLbVpOq68DnBx7or/jKDHG1d9 XWg95iKbeNGerhC2ICSLZ8kcZ4UyyMbo6luTXWrGt9jpNwWwy4L7xdBi4erlt+AqsUqLNQZn6Q73 o3EHK2iFkkHQOqRFJbuWGGjaVE1+rE9if65rekHz9rzahVvpwNzYhnnvLfj/8Ancf/x/UBw8F1/T mw6WC1B2k/5dAkYevNiX0iCpXSwyVAwDWyzrYIFz7bmiXYELTNSCjuwbGwk2ojoBnou6NuGgsKpA RZ/Ah6s9V2yUx8lI/Ukm4UyBShaEmC30oYa9EIB4/FjWInpCqmGbsLKEOpGeL97ou1JuY5BK7zMV 5JtQUuoKA3pjmpuQ/jQeKD7Kz+I+jWYOW+Mz/OyjW0Kn2NlhxIaKzw4wOR3gya230FsNUJaelPjM s4M0tFYKqE1ZT/Nd+LENw5OWNyXXFSGzUjC+vU1NT9kZDzm9X9SzVJBnIonSJxfgbSPaCpD7Efaf HaKzsYbiZIQwCGHjNrzRCOeffY0/nmjqdLU1xI23C7S8ANXa2huB1vc2jB5kPfS0YPiii2kD8wpT YYRECqk7gau7LpAx52WFVUlocDvsWzbQYrulwuym+YH2MFuc29exKjXMSXQx3sekzZCW61B8z6uR ivp1+yrNLGrN4XX6WNMjazlj6OeO9UpXTfQ3n8TLca0ADtcsY7lB3cF0eXUeKfthjNqUBwhdpsjK HkUOoRfXXg46klsCUhnFuDr1ykwCQY7vD7wW2v6K/M249+JBvHQ36LRQvfcOzNYmcPcugr/9byg/ +S3KhL3pX3PUiwuIVaETLjSq0EdBtsjUsmT7PAUqHhfOPKEheicVCl43oJIyHIaIBDP+1GGf3J2J BFGkQMUfLjxaWQnhCDhkVQQflrFw4tJlzsddW7NUTacEHgqyJ3mu1or4FTixCVaS/udk0OYbYjmQ rE4NVmRDZFxyN+TjtZ4lU4jnrY54CCBkewRBk2T4139xD/0P7mt4ZS26BOPbt5GNRth4+hxPRgZP JznWVq22Bqq3IWFdnXVk+CohBTt90B9ljVgWTseclsDRGQG4kHrDO9u6GjgBTKMGC186oeqhpEeM Wl/LVTgZZ+iWlYDi8HAAKrj+5hY830fV6SJKS/jJHj4bAWvTDP7RGGsrp8jyFNGNWxdWoP4nGUbr 7RpyTx2OvXekXQxDNClspyZE5Mm4kBEOU5YhEQi6UqXSDXJ0/EI9YVK/yKW9ljqvXIlW+vyFecUs eG2zkKJqUzdPqHijbsCnFvuXWF0Tpi42c1WR91JyrqHQ3/nY1QyBIVrj3tX6IfVVSLah8XVJfKqu eP6bAMT0JVOs2viLrlxtAKZGtli2WzEEpGeEdxfQz5FokzFWyNYV9OpH0QyEPMbsQ+3Qn4esPFDs XfKrnwN3bsL+8qfAf/074A+fCjMi3RZAWWJe1JbEtNkwCyn7qav6qUmRDTGUI+B4ObxOLF1M5/pV rwN/cx12tSd95tm/XgCrokG00nbNHVKbUJY7c9S7eLziGBV/xJlMM6bRtfwyh1mtVxGk+EP9iuGd TnY1gzY1gO1Ie1nJajZMCtRCd1Pc3Pi01A7A/up1kz7RpoyEl4wZmlVxyGKktzszfL6yN/JgAoq0 wTk5x0//4l2sfnwXVaypabEe8B9r67zw0N3ZRFRY5FmGzsMvsD8t4J8fYnjj7txmwf2XdQt1zS7V 2mYptk72Edy4A39wim+KFqZpjLOxhpA7a0bAm407Gpe+ROX0bBH/WwZZ6mFvOEXvi2/Qu/82bH8F Xsgl7DyYLEPy/ABH+6ciiBs/wMhZHIxy3DsdIGq1hIGVfS628k/loXlxqP5k0LEFOp5DaBxmZYmT TOOwDD4yAjecmEM7no+2XyKw2jlWe4Jx4ZgXQ9gGQDi3Ilm70IgIrkK5zjXWTy4zI+ep9BD6EVpe XxMjbuHDurILyzUVN81z38saUovCT05qOoEXLSS0h6Qa55pKZTK6pBwJoEU1W2rMbypK0uJWwpd6 rVBXkBWAa8CHJ0bXPCMzI4AxFdocPILbvI3GUs/VFw4Glek7uzBb67D335JQxfCK54IVf/gU1Wd/ FNHWu/8uyqiN6uED4PxAhBZqVLZmVQJYnL3sKd6tpD2Mv96Dv8ELmkzL13UPRag3MN0OLJmWZP2C eZgILuvFRTFq4COj4t8VWVWu2TKGfWQI9DeJXpUuwOqUovPUSfjEr8HnVOhW1kOG0bjVZUkuMicW oBuD5KwUYCjIcAgSuUO/zS6giy4NkoGsexs27g3dpkFR95fSLGGFj7ZbeOvjewK2Vw7Wu21toy8R Clc5CrGbV3B7K3j+4BTPqkgyfKrB6HdqzKJ07dxdixD9+kO4s1O0f/sl/n7sYRIGGEwLPD8GWrYS TyH3mdthiKtLiGkNoWiAYYxPRgVa3xzhbvcEu8UMk8MTmHYHX5+mOOv0kMU+NkKySw8nqcOXz8f4 EPtweYYyz6RVs/C4HwlwOfGosZBb2WdAQZ83ITItqfXjvmrdINOVg4wufMiiMuLgdxEyColiBnaY Fr6c305AZz41slgc+xzM7slyYCZE5LWlvnLe4UGYX4HK5phlE1mEggky6ohvMi73FftOgHU5tcnB Q0HmJN0JL7x4gahNUTWBpqlRVNRtuhzyIJJVhXWltpYJcFxenZqfxTCQr2WphNRpSbln0+KV7Mcu NdW/IqsZhzBv3xa2JSEaV3n+6CfAg1+ynwjc3VvilbKDEczBHuzXD+GOToHRMWw+0vCPAjxtDbxL seympRnCxlvF9REbamtaLdhet15Chs7oUoGKfYopqotTULUraln08IigzlCr9jc1GhTzBgybyGqo GXHlGYKQHKuaNdF2wOdZzydCdl2yRtBi3R/BYDQzAliN212SPbVDPsuoyZVIWJFfHzL5zdWNRjnW T/dxfPsdbA/2YacJfhJ4eOt//18QLS81/5LB5m/lxiZiXksrPdxv7SH9L5/hkc++62ypQxan34Xf g6s1Rbd30dtZBzb6uE9N8Ot9DB8+Q8BVdLY2sN6xyNtdTCYpyiyDNxggpX4ymaJgWJrOUOQVjnpb GO0P0Bnu487wMY57u/i65WEWtVCxdo3HqO75NfV8HFQGvZMx3kIhLYFiJPwXeyO89ryRfnJiQyCb 8ZfmUdMw4KKtQp9jnlD1HhpY1SV/absVzatao3iS0wulRcPO0OukAjq3zSwopa4JNSs66MXzFQsD 5iIbYoSlY53L5cHHtPLRdjlalFs9LkfPsG+x0KoK69zuTDUp+tIYERD4eJOgnmu1a4SWKjUS1OuB /PJ89Rvt56pl6l9nNObCpc3XxY5Nxfr8lVeU81RIqumShlYv6W20qJRgw77aqaORTMV2ojTTnU0h NkGoEeubViA8uSreayErG5RJhforLBjCgDgIPvduwNzYEpGGC3gKkN3cAe7fhfv4I0EM+2QP7uun QDaDf7oHnO/TJ6BeqpCeqzbsSg+m35Xe5NKShwXMJ2ewG2sChkaWs/I0z8+6FbE0MA3GNLovjIBg xdCGv9l+vrEYiGG0BplJshCX52UujU+qtgk0WUGGVXwds2vsRyUGSxG0NZtz7+AbdKsc4e1ddFmC EvPmUeLB8QznpcXZyibeO3uKtz66C6zvIM63MF7dQJxuCPi0WhGizfVvdTERzNfeuY2fcaWf//QP +LSzK/vVGEYlQ1lZ9Ln6Ed/j+4hu38C7Kz3k796UcifaRwhylR+g4BqXTG6wFTbfUHDVmxJlxlh6 jPcmM/hn5/D7Gyhv/gTBqED6xz0JqTtnJ+j7JTpehdPuGvL+GjyuvWgtgo1VrGx0pcxnUjqcMQFQ e4zYOYNsLhPnuk5gR0c5H3czxJYMiEAQ6cKwLLpGjl5AJ7jDqKIWqjd8AlvXFuix9tE4DLNKwlOu 93nh0LkcfS9HLAvJFhgVIZIqUEDkDVXFRhREKkYeXiSPa3FQhLz2hMFTn47MYckisv2PReRpG6NR bjEtnCxAoqVBWhw+K9gbjK+lobhefJk+L3G+CypI/eVlzepV43L5nyykerkr4etdW5fFsaW/pRRh ye7QCOCXsELB5SqgrKvb646PTUEkdS7WI5U2R1KOhX1diJmFgTFc1MVhrRcg8ti7W08u33O51SFp GmsAACAASURBVO21g5qUdP5svlN9kMmAtjf0e23vIvzgl7C8E80mwMkx3JMvgcOv4Xc92LUV2E5L ymgYBrKfsUftS9Zrj4DxBC6ZwfR6Gg7WYSLRhmDFtDQtC9SeyIqSRLN60tXzguiuoSDZ1UZXuxc0 AMcwakwBvM5ZSwYvdfIaWgPadW0fQYEXWn82xkf/48/QWevLPvOuThGaYVk3KTB+uo8Hj0/wvhlj 9RcfwHG/rUGvWSi0aRL/HQaTDivv3sX7BN3fP8Tvp+xwoEDMLGXIUPzmzfmZ5MQLV/ryc+EUMupv iE9PWsFfZDl5DsP6zIz1dhZFr4uNswH+TRih5GRmVUKnhSBJ0Hp8gAcn5+iZAtu7bcQ3trHSiUQT 4yRl+HNaaGnOKpdAN5A+XJ7JENoZ0oplKnS+TyRYSl0PJVq6KLDL0A8rcLEggsGMlgQmn6pS1vlc C6jzNjWLHqpMV5sig1LJI0fPztDzGVlo9wWKIhlaqGqHuxwnqSTwr2Bx+nzTOLm55rVomVpiLoA8 LFl47SEt2OSA4NMS/xq1simXZ2OMUzpst7gQqxY3wxCmNMv/UrJwbR/8xfMCWE3L4+UHX3lBXWr0 dxmJpMUyo+a6Xuhyu4prtyssTH0fbL1MTM5cItYGjZ3Jujh51PPBLtwq4dN1rcld3gViL0Bo6jox eZXqXG/a5eFVx6Js+chabNVBRriLkqHju2/D//S/wx5/pWU0DOukvwvbY5YCTmZjXVVgiuyTqTrb +cPjz99cFp1O59qDpI32Fn2hJG0voaACGTNyBKXGSye+m9zhdKTubT6uX0U9PMLEZNeoDWnbW068 7mSAv/zpLWz8/H01uV7SZdhEuL21hu47E3SKD1Gtr194zfeq4gQBWu++hQ9aLUT/+ff4bOhg13to VRk+HD5D2fv1d9q8ZMFCZl+52MTSx26sY503Fz4aMCQPhAXf2N1F//gMwWyC9c0ueistKUVqGgb6 nMBVKac18qZyM+2yBQ+5ksmlRIfXZmDo3I5RFoEmbsS7RtbCljMUyclOcqx7Vs5P6LFAORXTpIVF 2/PghRWmVYqZ66CofHS9GTreTD5LXetcp9Yil2jlog+ShlNZjf0Vmps+T0lFe4axvFJVZvUKcrk4 necGzMtzNb6kSJA7g1k5Rsfo/Pc9XRlpXiX9xufpIib5sr5gbcq6/IKLvawWVO76+sDFaGqDKsOY OETbW0VuEszKYf0Oq+2V+YUdl41nqWBLUVlaT2gfZ4l7637QolXJfXLR5AxguNIS0yD7SzLDyN88 bXT0Uu9wjK2ZQVzq1/19DE0OZOrDYqmIVyFYX4f1N4DsoX5P6lKajhNxWUQnogxDwG5XFh1Azsyk hg00hzK9zlYxFMvlLRIKKmNqbhBN2xWeCoITWdPyWeG/aVWYpFpTppoDV+jWMJLlHXIxNq2LHXBn coy1+//2SrBqhm230W03hbs/7KD217m1g/f/Gtj+9EvsZRmORgnu2qkuevBDfCjD8aXvJ5/hBwhX evDSKcoIKHdu4KgwGFZAz6dmC5wVvvie0irDSaqlDwyjA0spooKWTVNP4jJiAVYDXpsZxi5EZXyM uaSYWE0qhEgFpNgxhQI5T5DccFHBZzjJ7TFcy1klEukCx9QB5SN0ZrS8EoEbaWdf25KbOQM/sryZ I2y9/qAd5fLf8v46ctF/88+WCPfjIkXksasFF694PZLwMgf98m+/0YIuN9BfLvacn7zarv86LKyp IxIfTL14xcIjxfAjQNtflb8C10JWUsvSjod8XnvKE+y0hEDE4zozKMWasi22xmijzXXl1Iom4j0z kE3rDE0DKNiSpWnbDhXgX29cHXMvgzm9Y02fofB4BG98BBdUqCYpqucH8Ha3VIAnHW90qtp4KM34 CKSeh8pnkkFNoWRQBCI1RuoPQz/tBaW7pYzLYTDVu3Nc94OSTqJSn+YwZevieXsQMi4FqDhQEX65 VnBjvaPZyh9JxkuG5yG4uYvtXhudJMOdo2N0s82LYfoPPQgYSSIdEuzGJsoglh6dtK7N6kV2KXeL T8xF4DrUPOaZK5AUM0Q2QWwpQLMgmsmLkVgJIrYKL0PxHFK2Z2ubEiESlvOwl5it0JeOm/MdgXwW F3GROrsKbcufukULO0rU85l2Bc6nImdvK968S6yFbNWsdZg/xFBR36EsQljhXfUKPWydI3iii9As 98B60yEN/C4uz3UddXs5p7uyLGfe9qsU/YhsqXmmWR6b6dBFtqFuLSM+LLXjNz1yuA2pLaw1LQry qUuQlTP4JkXotYWVMTsRolUv26SfxQubzI3bkpqkpdqll4/lnNhl8F42u9UeX2ZPjvdQlecwvO2x m4Qo5DmwugK3uqqlNlJeU9saWBcoxlB60DzM6mJm9TppFwZZ3aZmQfQXcTQtYahpDWfqU6LGI8Kq FAg7BGmCvypOsZaOxAE9zID91OCbnfsI/VgygB7F4oKO9BNs/eJ9Ea1/dIN3+JVVdPoO3dUe/GyG fCnMYS3qvFWw1czz63bqfJ3BwvRiNEQ+mSDe3FI/Xn09UMOR18xbY4hypmZOaVAXCcDMCu3i0PJG CA2zZalcNytBisAyu8YQKkBStTGrAun3wI/QxaYl947G2yg/pUHPp1ZE1qQLmUpzv6anltQxMqOo LWq6lkytxKyi1KKZsu/zGM2PFRM3xsOw8LEa6DoPnJe6upaWn1Fnft05eFnbqvthaUW02urZMTB9 Y1HshdeLiZRWA+2zo4WQi5QimQ6d6/xCbDtB68Kiab9WkOvnNU3zF74PjlwyhTyJKVIaJaV/jtbn LboWLuikCn/M2Sx6BL3ZuD670fT2EcBa30TxIIY/G8KsbsPKitQtuF5Xs1bcRy9CwALbOh1MlsVU NVct004LtQtdbAz6WANgTY2fLp0FnIwdJjRq1qZPafNO9pWWeG/V4r2Pf4UWfWK0e6Q5zv/jp4jJ WqwR7YvC/f3kBLd/dg/hO+/Mnfg/xsHmdMhSBOMR0F2bMyzPFdgINEM6Ysa0ZDeJptzpuw+p4ez3 ERB0jo+1tU9HbSkv/wytEaRmJMAl7VsiTKVlC/1RFOGpIeu6h+ypFQWF6K+eidGqBXJZ/0+ijUDb ytQti0OPHVHVKC1zGGRZCgZ8BdvXSKMeMjFP2ZUstiE2By4wwTKv7/98MwM5qYCuo3k1h8fooawX WZ0Xf3+7MV/5mQdE6/PYUIshwsKZ/qZgJa+tgUdXj2Y4xvg2lIMv2ToBIi4ZNqhDPm1lIf4s2vxl 8UQV4BtLvyxeUWcVZZUXKf9hxwdtSdF0MLzYtkYLF5rn3+xgXaPjiFlVs6tNew52UBLau76K4ld/ hZKO+SiA+/prhKfHqMoBZlsRsi4TCMoU2e6FFwy54ywxAk5NwzZpFZMqaDW9q6jb04dERsQsIQGH jIvhXCgCb93WJa/wfnaC2//6L9C6e1tNqjzZ/+n/xiDuwrEGrXSIB+e4Exd4669+hjY9aNH12tW3 GWQ+utLwG9akSnE2GYmDl6RwT5/j4CzB81EGDAewaYrd94a48YufaLbVBkjKDDux9o3iDey8SDGp Qi0a/q6D57VNs2+AcjhEurcHLwoRbu2gei09r2n1w5ZJsbaZqXuAptQueZzEyTVF5CUirLOTqXPM huv1pQzFzguWpVe7LFOW1f5CjUIE1FjvKAI8TWvMGNLw6dDxDfpyfZU4T0qMvnVg9qrDxWxiiEEe YSMsYC1JhPZ81wVxqu8KWMo7moJWMYbVE/9VmbWrzKPyuLSO0YPcZP9Ydc2ljho6Khcm/54Hbwo4 NUwi8tgne4aCd4T5irV1+wuZ5lo71fLa9aKQFxfJeAG0KmpfjY1iOZlw+R1KVZoFBJZHk/lcXslE HPdM90ha3wM21mvHiQPe/xBZlsgifsX5FElVIO2EKCIr9Xo8zCKqz9S20LBQalZ0sDetY6TQmSnv pitDtgCrppUx9SmK6/9m8gS3CEK3b8zBqjw+xR8eDlD6PXiVwa10gHd/9Q7WdtbR2t6o+8R/v8Or crQ9h7FjC943AA6yy/MhBn/zGwyGCfY6mxgzXC4cWtZitd3G7OkRwodfY/Wvfw178wYSF+IkTdGT vDfZuNYefm+DNxl66XwfAe0pkynKowOUcQsB3e6vy0yXwkktkqnXTwRXt2khZaTBNj8Fw0WaNev2 xjRIQ7uFNm2NpbJEtLKpmJZF27Jt+WEYRsrZsYkkAgjolF8ij25zNk5mGuD77g+3fLi8ejm4ppWO 1rto+VfTSPDNR12JuxDJxRleN83nvymGN7V4zbi8Gu3VY3n5a232r7G43g0WmhfNZkwta1inXQp1 YUnpQsoyCmb/KjJA7pM/L8NhtoTPJqVF6LHG8MWGY/Ue17/qdQCXVrS+yjA775U974G9eLxx8OtS ZvpcU6Gu68gtDKqykknbB9o9mG4b3niK/h8/R96P4e7vIC8ZqqkZkoDUtPaVVtXisWpW2FXfFUGs AavJlLrKDEFWYGcyFvF1txqju9rBO3/5Prz7b8Oww4N0lijx6e8f47HXQ+X7uJWneP/tDWy+dxc+ U/g/gJbBc70WlFgN2CGCS9xEr//eyuH0LMFvzkKstEOkrAbwPeki0YkD6dvO7/Rk0sbR7z7Hnf1D tH7+MUZehGnt1Ge/sx9CoyFg2W4PYH3kaAjDn8MDmLV1VMwIv+FY7pYg2hdlFFnchRUX2lY6tOoz rEQCUZ2Mvi9dDFWvOTVcs4aWelbjfDTosFZQVq5OpNdXUgJnmY8Z629/4OLt3IVIy5ksnSZzjkXQ ZFm11npd3/YXj80l0Z1pVqn7XnLPaiqcIdqLHQeb8TLQmpffGF3aiHE0t6TiulbkEhDI5iKvI2CZ lqV8Qd6N4zq21uR1HX7VyVhlgOrvooWhkBVyWav0CjbInkEizjcAydY6WvrTmGcVlFQT0FBUG5nz MxudSrfVGF9VE7tQuL7UcLBxRjnaCFb78N9/H+5Pn2P67By4tyWSEY2gYi+gI71e2l1bv1BErlut 1KZRCu0ErN3BAd7baiG+sQv030NOd7d1CKMQwfqqOibrc1M8foSD4Qxj42P32WN89D//Ght3duB3 2j9Yps1UOTZiXR+AIuub3MsdY+FPP0Nrs4N37rI0SQGdHSl0MVjAjz1UYQ/jpMTnz09xb/9vsP6X /wrF5mazFRHLaX/43r9j7ZczK6vwWi0U5+fIHz+Et7KKgKL8d9ABFZB0QqcuxFFuYLn4IS0NpkLX z6TlMlfo0fYsooxpPZ80tGyWxKqQFA4DOt4dXfa8JhPkZYGpW1cvFn7g4UU4yVrYMVNZbajxjuu8 eg2nwaVGhNpeWcoxtAmYLprYhHA86GQxrMO7uCjq9TrQguzKxLdsMq8tYppQbFkQb0pthDXV6xsq 07OS+pUQsnax80syq6hgooCgTIb7Rq8WHeT0dskeXqk/8b3sDMG7UJMIIHWmq7zpWy2ZymYRRzHY 6fdqdKtmyN9LHRsvAPnSydD+9LoGnID/o8cY2RDTqI94qh0PyJ6aNscEK9Gt6hVjpnxcuokqE6Pp k6sI3fz4HWx+cAdBtyOTp5KJefXkpOC/kn2JozzCvbbDxs46fNYy/oCDk4taqHyn1wUssoSzM4z/ j/+AT/MVeKvah3H7hidA9dXj6kJvriDQ6/QkBfYHDvHffokP259iYCPEZ6copzNEO5vYfOcW4rdu i0n0ex2yQm0LdsNHGGuY6Pb34PqsEuh9ZwYj7nvHGw+jHnUXptkMXW+M2FOhvnGQy6o99boIHOwy cV5EmNAiUWXo1UXtE9cWDe0HYZ+XBufStAowKdg/TXUsWcyDAvSbKARLXiy5FQjisYcOVyBhzRAX fDRtYSCJm1z55st/N6xE26+yfo8dG5TVaM/mJaYmYTu/BMM+vYia5cAb7sIwlIWYTYO/ZTFdfE+y cKSCirrptScTTxkBgttthHF+D2VjSpMXNYdqmG3IqRwHelfmzQLVP9a0c73QMoeZvLoF7HKz/8tj 3ha2Cbv7XZSDBAmN7wEnn9oYZGWYGrAavYr61KwW3ZsC51lS4uPNFnbfvQO7uVmXXrzcRBysbeCj nRbaf/c5bvz6p1Ju8kMP1r3NzcivKe26yQR7/+ff4KTdxcZKF+NU28RwGXVXrwjNFaTrrj41Hjh0 O9S3IuyPC5wMS1Q2wXoYwm//v9y9WZMc6Xku9uSetVd3dTfQ2IHZSWpIikNJRyEfHTt0dOM7W/e+ sX+P/4N9L4cdjhPhCC1HYR9REilyRJEczoIBMAMMgF5rr8rd8bxvflVZ1QswM40Gjz5GE9PVVVlZ WZlvvsuzeMinBT756Dk2Hxzg7bevoXb35sV+UB5/uhwRU1irI+sfI9/bg0/D2273Wwv9GdkmXTYy u4FhRtjDCDV7LFQcLqMgqv0h4Ch2MKa7Dhis+sIxnKQhMqt+KnH6Va3ACzDOMzjpVHS31OVah2XV LOs8lk31b1ISGiSrYVpLqcceQOnMoSqByzJnPdMSSRdJRXlIHQHCmZJynjNTIrVyqVGlzw80+xJb H9XH4YE0kxDZfok9McJg5uPoVETfi0GPGRnxJ5pdLQOIONtWUPyq7BDBLlRYUKEO+j7aD1jtZ1Ut xRdzRwbGUrLmpaYdi96+biG/fQXuv36BfDBDHHLSo5AFY1QqksTm34U/n5ZExFbdmR7gzu+/j9r2 xkvfJYkYr//+D/H27hVYOzsiW2O9YvhB29OAxbu64TGeu5IE+c9/jslWA1fvdNDpOvhqL5fA7jiK +jdWZsw0qc8lbmn8PoxNmGcjdTzReK/VffmOmL1ywvp8MIPz6wf4TrsBm9Soi16UywkCWL0teGXg SvrHcLa24HSXEIxvuyyBwQSYUsQxJwVtLMBUK48xRh9u1sYwCYRAzWDVdPrCZSQcJi4Ie7hcnJ3g 4qwGhnTTAVs3Bfqxj56VwXGyl3DZWlNrYLCSBnFOgqWWb8vxvzbyzGia4nridyYNPgWwMcBRDWHp IMIIStyIXsx8jWYp/GGIIZWgIaqIxmyReCxtKBora6NOqsHRTBuX2eAS+FaQZiD1OQOhZk7LbIp/ WwLUTBZVWFTbMjbimu0tyNmV8+q0oa+aYnwNeIfZZnlDsQ+PlfDcCOVv6uPHEpCaS1r+iX5VLLhT 1VovVQq2n3+Jd9+9hvaNK18bL8USxbv3hlJavs7E7hsscij7iZ4bxykdVF4svUJFhf0nT/D9P7sG J8iQUIXhmo1f38+wf6zNZhpMMOPiIeXwgceqReNUz8JeX9H6C1kd2o45CwUfpKGHo+EIR3/7/2Hn v/+P36hB/uIPrq7cBfmiQQB3OIAzHMJmMG53dMp4IW9jSZmYFm3EeYBxOsGGx6BkYyp2YXJA4doT uNZcSuhxvoHMbn+9ae1FloaZjaZNBQkSpXN0mWWJy87ypv8ykCPJsKQGJvBMGt3arxGNqmIuIcZ8 SDb1hDtXZmLMqrSMWlWWX5KdqzwgvfC4kyLGV2Y35uLRDK20UpVA6FSa/hRdq8u+CGYrGyHKqaHF bI6mlOSmUwSQ5DqST9VNx0xPlkvxZtIUX6Mg6Unw7b6Ys4YQ1UeKR88wTFwk9ZqUr6K8QMWFWGt7 AX1SfK/UW5f+FkvDuMC93R6a776lyg7fZDlKHH/VS6aaVoAjSsG8JA6LFcKVZoqdRoR8fIyntRti F8bsSmlEBZ7sq+8gMWf893BQYDBmH9AS6RxRQXX1ux3Ntf8lFF6CKS1g4NVxP7Fw9de/Qv7Bj1/d AWCUDEPYDF7TKeaH+yiGA4Q0sGi1Xsp958XLKs1QqGPlioeh0cabZ3SyThE6c9G2Gmc1ZFZD1B1e 1/K9AKOC2nC0xIsxzFJs2lPYMolbrVTOKw8piyYXMMFmprYl34ncOAWssV+jwE9Ba1E6WPzSS6zV Ot9Q0OTLHRA99zK4qUYOG/DRQrqCz2Xfq3rXl1KMxMmyoU1nXEEG22obLs4sBRvoHPly2wxs+rgJ otI3U4WfsotS0dWplLZqdqGjJ9Pg/3prNS1b4s7Mv6vHp7ixC+eT5+LRnrra+GZGZUwgYiMLIxLB ygdkluUfHWPzj96Ct917/VriL7PoL/eC3trK08l/I23D8eA2SWZXuiUH+PeukGOa48mhh6cHuYzG qefOwM4Mi+fGcLqc1DJAMfuiXDSloanjzmM8tF2MJj6eDiJs4xIWA1OjAZcaXcRtHR0hHfThbe+s EKy/zbJYgTgllafsk/J4TNn+EDdpOjc3JOvN0xg2hShfQ5blCmVKh0IhTUzyASyZ6pMk7MByV80o TgtaMiVkKVhzOd5eRn2BDxQVik05yVP0OfEVVeqOCQmq585elQjuVQjQhiO4kE0uheIWKqNEq6+M DapehBrUtBflYJ4RxuAjdDnhY0azbKozMFL10OwV35MSzBwCVJ2BTMNf+YwKayAKnz018/pvsvi5 dOq5NIGVSlCIuuzhAeDJ+vEBpoMIVq0psYeZlLHZWpTVpe282GUltFtsIGSweh1uLZex+Lm9Fp5P Aty0hmg2ctTCCfqNOtq1HJntotuy8fmTHPMkF5S/6h7aGE5yyUJrgZqMmpuIKLOWlf7Oppr0DibA F58/Q3DwfyD0bZAwc3D1NsLdK2jeuqYwiItcwh0NRavfZpl4fCS4LbvTRd5qinzNxSxrkURox4TY +Q25btoe4RAZjhLqkb4+Yvui940CHcoHuU2kxVwSIOoKMmiJlt45cCmXQE1FO518AiMxsxpe8Gak L3IopyYhzLaIb1qqh7J/xa0qT3EZrBY7VDavz3xvMtAFa8L7LG3ZAwRkptvz1aa4kZctz1Uj/qd9 NhOItalvJJl5x+E8UBQgpH+n00Wj3/Vya13QxUwVl8HZfGbpzDET+OIZ9p0mjpwQwZQDD+3HsDSU MT23wEAlZqda5jSP9vHWWz00G8HvlpLCBS5CS+ZvvIf9n/8GV/+bDg6PcmxP+9htu6jFI0za2+i0 VBpnNCMnj69iKahQj2ZoY7tLOWXFrJEQLr2utMDecS6aTNLa8Tx82eghKllIIh/9dILOo9/ge59/ juYf/3hhmnGhn49fdL2u2v+TCWYH+ygO9xFe3UVBXuIFf6+WbI9JRoymqyodIh/wO3D+8BpsekTk F4g4JUeMzJ2jyGgsbMxXTwJLBdYQum2JcqdvGQvYgWFXV5vY1aXyuqrbbJbhOJmysRphTUZkyjWD iyrKAMcSlAHH2FgTsEAPNseKhMgr2+D/qI1ditOJp22Z7kpuVqbIS/imIuipvzXLlEkl5Wopoi9T LWaPa+Xz2RG/+liV6nNa/W1h8PFj/PbLKQ4dGm9YyCMlgzKLUisuZdmzDBTrLfawMuBWPETn1vdU B/7f6iJB9sYt9PqHGP3f/4z9H/wIfWcH0dyBbbeEV/ngCW9EwHbHwfFIZYOMdDJLv62OhV7bFlL4 o6eZuOioA1CBbKjlITMyyw4wo+NPYKkkT1yIa/Qvnoxx9z//E2784e8h39h8RVmkj6LtwgtCOOMx ioMD5NMZnF7vgnpbq4tgnIPIEq01qij8Lixe18dxgQ3fQmA3MSv6pZ5Whjx1ELp1hUOkhyeMml2x 5hFJ1lNckMuJIYOLmjjoVM/oWYnAXgn29GyVpzWlkEGli8hdHmu2Uywb+AJSFb6hZl/Gmlq8/hYG qZ4g3jnRm6VzyTqo2Ci7JhvR7S8dpUsjR/madBsiiMbPKD0qHSSo+oNKwHKpCQYblKU66LdYynPU EvhEoBuOMBlnGAQMxjrJYu9NjUgpC6NBliRnCvKxn8XAtXljByFtyV5QrqhuvU7nOE6+DHDghS7C Ar73QxzffQPuYIC9X36GL1IXUVhHTB5oCrQbFm5esfF438IXz7OFVT016dl450emCceVTT0ODF5q wEFMkCpkMC4wq6VSaKdpod2w8fzIx96BjQccN/6nv0Xwxj1sRQM4b76J9PqNiy8TazWBl5AqlR8d wo4j0doSl6EL/N5shxVDKb39O7JISB+jhqNJhJs1lUkn/zEvYkxt6tZbaJFOtBZfJcOKMhqInt6l 58VOgwpmOzIhlF5RrM3vgrgO6vho4GHGYiAJIm9RgdUbRQP2m+wSZUssFP1thF1OHaAy49HgyVLS kZJQLkA61zLzsWiuSq3zbDXyaldK4A+atZHIrUYWBqHO/M3Yia1TA4RAms9F7NUE2sVfFriE1QNX PVbVxW2LQqpoGVUlboADq4YRUfklNKz+5DGyOMV0ewd2uy7ZAC8uNouNe81Na4btH7wHZ0t15M9b NStB0yH4F3gek7GvrID/GpYpqKX3VG8jHM0we3qMcXcHzbaFfl+zJfIs3QOCSbXhbkxXmS3xILNE VAoTtRIttBxbOGwMWAxWvAFQuJA9MB5rrnpo4c0bLmqhjX5jAw/nKQ6/nKKYpri6/xne/mGB7r0b F37Ri2xNpwOXoo6DPuZfPIRNGZvtK9+K3rO6vv30+1UsUrhtN8Q8m4oa8ZOpOu1EqMN1QkTRAJu1 ADmdfasBi0FD1ynjeGkx5QulQJZO7PdIo7okNhupFGZH1KhaAEzXSlAR8hL0e4khFygB8UVzkU6u TueUhjPHzBpJsJyRgM3sqlRU1D4UgZ4l+VhcZw0WjKFLZWyyjF5qNfgWLZt0H88Ce+r7rwYr49Sj v50+wTBEaQO6Xb62PAbl78nxCNO9PvKpBSe00Z0N8c5uDfXQxUfHCfpxImapaiCqpWIrnuKN795C 6+bVl8JdcU/bHjBkmfQNZF1ex8qTGN7jR7B/8ysM9vo4QIDHXhffS57g+NY7eOuKh61NBzvHOZ4f Frizq2YX/WEh0yZSJql0wYBFFyA218W0Q7JTZhj0V7TQbvI7s8S/UbiIroWuZGPMuBQacWWTEywP k7mL+KjAYRHic/o//tMn+NEnv0V7dwvp4RFsijH+/o8u5vgKBEINdN0ghDsew3r+DFmrPpF7NwAA IABJREFULRLa/1VMhL/hYhtpkBKqVKDlJThImvA9Kt7aiHktxLly5iuHWWUN19a6FZdM0cpgI1kU +1LCKE9FskVLIKaeCj8w/DuzLQ1iOp0zCqfEVAkpunwO/RNMs9tkZcz+qCjK3lUBuo5o1qcfVjFj asZN3mIZWMp+ljhasydEZ2VXTR7Zp4qEKP0yxEtCMkgh4DSxNGUttbmMQasGbLrgUv9n1RlES9Pl xMrrtHD79+/ixvFYHEWs5iaCbgPOpw9QGyQ4LNQ4gi8Xi6rRFPc6Fq7d2NQ78EusSW7j2ZzCiJRc /h0OVszen+/hq4fPcPzkOVr9PSTv3ILV2pDGcC2zkfaauBeGmM1y3GzPkCQ1vLmb41Yvxij28OSQ ZVwhkAWeb6p/XxD+hDCwEae5BCGi3LloXy/DjKwkT1M/jEoIvt5AWW6yLKfkD7+DK3Rh8xwJcNM4 wN8fTJF/9VSoUPemQ7zx3hRe/Rvi4dYXPwBVIDpdFPUG0uMjJHvP4ObbipL/N7xyO8CAdvbC7NC0 gFpobB/Fjg0vtuF4eWlTZuRlZJ1V+pTTPFnMZCj/qjw+lmopHT1oNlEps3gn0yFgFUuhF/2qIkRZ MpXPrWpMyYcRORo2pB3Uy3G1ITwblrpnUaWB5o6uwCTY75KpZ6m5Q8gEszsNNF9HwM806tXthIdK Tmwxuij7dGXJvFBzKKVqV3tX5cDBsdC60gG2WkpVsS3RMHr8fILDmYdJTZvFRYlq30kmuPLOd9Tf 75w7uQTT0mDCdnxEBlX/u5pd5TnGP/0QP/nXp9gLO5hHPnbbN/DdTiBBw8qoBVVgBAs6q2N5D7x1 C4jmLN8A3oRJ9uJx5OfvNG0hjJNnyAnhsl9VIGPQSnXyykMiFKhyuyRUE6zLc4SPM7MltISvlRuS XaDmM1uzMA0b2O9n4k5kfzXAxl//F2z86b+D325d3LFhtRIEcDZ78Jmk56wkLlG7/nUsqbQoKOlg w+vDLsaYUV6pCIS2RgmpPOEIX9k1ErCktGJ96Ag5C1mWlfxCDRLMciyLTWlt3mmDfpVzclqptZKp lWJ9JFeX8LbqE1dKwqoooGmcsyFnK7V58UoCTmmbrbQhglFNmaYkbNUkJaBOA89ZJOV1GQvz39I/ K4cOiutaL8v0HRms2DMzjf4zvxvxCdf94ho/+AqfzUI8KUJkkToxcxeCOMKNd2+hffMqrBeUgnXM xYBzQCt7cRRSba7fyZXnGH34K/z0l19g1t1EL7TwrO9iPwI+faww082WJdO8iQweqMZp4bODANsb 6qMotltw0K2rWe7+sWZMhITwuLKZTjdr19U+FktGZlUMWDy+7GsRyqDGGyryx0Gz4W0KXIJ8Zurf ib094SXEChJ/yO8vx6HTwf97mOHtf/wI33v/NuwrVy70MJEwPc9S2PMcTtFVJ/B/48u1MtTdqVQH SdESKWebxh0cvvkqR8XvyZUJYB5Lw0ub3ScPjtBoBN9kyMLVhndpylj6oclj6wdYbLJV4cAg3Ct/ EumZKvq8GkDo/KzEZ+X/uWAWY7R8rPIxZn0KdDCvI8hV1BfF5IKBhIj4AD7BogJdWA2ap0EXjDnr SfjCskG39F7k8GE1g3zR2juKsB+7mPMzlRkAr5g3Oi56d67DJj7njKXmC6nYm1EWePzNjLsvdTEb evDxY7g3tnC17kpQCLxcTGDJETwcZ5hENv78xz4O+0q7YcYzmAKbHSCd5rCe7ym1qntVmuYkQIvo qtoISkASm0dmTwxi5eMElrIs5LGiKxGDk3i+iuRJ2RyxVB1CApzQ1QiDKCWrU6UI1UNboCYUT7RH w1ejgc+WCCeJ9LFMU5kmXsTKyQHOODjjyaZyRNKeKdspXFqF6H9fJmarkF61h+OoiZobYbM2k+zK FHnS+qFlpwrWG8KwfCoJXmXytbrRtexBlUnrsApmX+kCM6X9H+JnFBm/gIaecQBUlsZdUHHMUosg 6lYTLEpKgTbXCVDVjEob3TrZW0XIcvJIOIMBvPJf9pv4mPbMVFtecFeLUtYMGIwgipZ6C5qNlKxV 9VXNDKUMZXA1Drsv8UUXswizB08x7deQdmtSfnBdiwa48nvfhc+p4DnbSfMM14JMvA6fzR0xXqBn we/0vZglzvAYO2/2JKBoP8lGq66TUWZGX+xn+Nf7Ka5vOaULkGKs9g4L9Kwh8vsfwdneQiMMYOc5 Bs0tjKYFmnULjZo6xDBLYnakuDadChKvpeWeBjMGK7N4L5XXlI8xuFHuh3d5o5JtDK3ZZ6kxELZD 5E4BbzRE1nvxBPfrrlqjKa7UDDIXtZI0wZZHuy9e73ROzxDlNsYp5ct1lu5aVPbNMc1aKFxWL5fT 9GfQPI568r1RPMEWkuFaW4mtvirO3DxuVBLOk3wQ8T1KFtucHLLBHUjAMktBmlV+oAOPsjNsLsOY ty4pPYTnC26mzH44UWSAIYRB+maFj5qrCHLRyJKSVctFBh1TUhqidSEW2dlK4DUaV+x9qLAez0DV mTbAUu4L39sEQtXTXqqOmuxt+biW1GYgsQyai3yzctQqMhn3H+JZFqJf66g6RQ40Dp7j1u/dQnt3 RyRhzlt8H59a4OzLMIjTTv53pXTgDeEffwb/vXtImm3hunE54yHq2UxwUkxMGKQoC2OAsrev8ian noyP93KZ7rGHw1Lu7d0EOE5gDT3YHEI8/Qr+3hE6P/4jtFnm2b7gq/jdEtUexJo9aSnIzEnjP7fP gMUf48coiHlK+GSlwgNLSc9COicxXaeKTHKI2aJ+GbeV5eTozXC4d4zunbsXfwhdF/P+kdSxHo02 LmA5YrFFkw7epAk9iuBZOTqV3ERwalZbLDG0EXJ5K/DrMtkfzV0EThvdYHTCU8L1nECgBXIBS0Yk FOXFE1aDFVUTagvEuJRkpWWR2NYuXsMiMpVeGHs76pjjLfBbQcGe01wtTiuBiymqAyovaGlFSILC Sh0xFRgnauUUEFsjvbQYyRncP4VaREIlUueeai9N8WQMPALV4L5XvAXN85QMrcMEzfZMwDypHX9e j8x8PkX9+1pCuk0E6TFCAnIdD/N5hje3ati+fRU4R/okzdTybMtLREbEuC/+LqVWtf/8V/jLj6f4 j7/4GfC//M/LPxQF9u0mNssKh1kLFVU5yWOguLZj4+auhb2DAkFgSeZEggWb8TQG9b74LdJne7Aa DdjNGvzdbfh2JAJ/aejC5fDH9aRpngYlrMFmWcdiXRvsDH4S2MTRrhDpYJp9iGpGaVxbDu0QUumV hrZsxvNmRn+Rto12HTga5hj2Mwy+fIbe7hfIbt662IPIqaHcUPML3KSLSWFjnHjI0wAd71AUHYxX hwK5KYYosPNLvwEasULPa2CeJ+IcHRfjpSYdb17GLl4yKVqun3HmL9U2XaSM0NQZknItEWJxUlJ2 jOMMA5U0o60QgQQ57WFpsPNhCQA0UvLjIvNQjfS8LFGpk2UmgCGJrg4DHflHtC1S88zAIoGSiPtV pP4yv1nvS5ESpHZIYm1GsOkZVJrqlpQoXZSfyRVxHBO0NLj68CxagmumqNlYiewXhVL1V9SS1oP9 znv4YeIh+4fP8NEgxfWDZ+j+2Y+B3WtnloK0zdr2UthFjqZniQzuAQGQ7LeoodArWyxBgzxCXNpI nbWc8QiPHn2FuHcPB2GAqxVyr0hR7x+LrhWDrgBoC6LXbThugU8eZfi9txxsdCwBf9Is++YWcLc+ gP+bT5A/+QoF8WrUFBsM4dy8BitNYDWbsMkPnU9hN9tStvM+wwuUQbEWFlI6D2eW3AuYaRA4qlr6 CkIVZYzydzEUEeFEPaZis5Yq75NBixkbcV/9ehN7oyNsfPoAzes3Tli6f1tQaeAHKOg+c2FbtVQk kz8OqxNWErF6LJTncei0MYwDFal8DcvlUMW2kaY2oixFw3MElM5rTRWKK+J1VbH39SU8HtuXrEXI ilkinX1xwbFtOLmqhYr0jJR0XtmoV281chLZ9DYBRMjNnGoJGJTo83QNZBoswKqLfSrH96zrNVgw gJSOsiv1rv6uelo0WDUYLWZMikIXB9pc+25VHffFdk4xXBWZ57JR6bIslN6WZnCSRUopqb20pR+f YreEEi3u0xpZKPS2/b038cd2gfrDEQbzAFaNFKKzT3qeug0HqJUehDwacgGRw/CKTzAChm/WC+zP I0ylJD79/b78q79H/803MP0sgvfvfrTyt6zeQN9rwuvnkqmMprkEK/KB200bHz1MMRrb2N60cDwA NtsWaqVoWPbxfQFbZfMY+Uefw2rUULt+FcVoJM1pUGeq3REnZlECKXS7su9ZgbrPdoMrANLxRNsf gsvi6SBBiedDmWGVGTZLRDM15FuQKiWDXluDGPstw6COp9MMbz5/pjebi1q2jWk0g5Wl8POOtAgK gzKSgZF+/990WY6HSdYWKzZ6IbJiUWC3jV6QI4+mmGNVxeWyFrO83C7wdObiO0G4MFAOnRYBvyRF lhdyJViZ8o2l29JDMF7BW1HMj4uF3EqQq7RwlG5DDS0xyK4sda+VRrc074lGV/caZn0MWAwoJ2Ao ymjWko+ZlbUK3V9fRu3UBC8JYLz0JTNUqs5pihGrwsjmY5HmU3otVpuRPKHZeBdtfdXEX98LtRLX Hpd4e3Ernov6W3fx/u4c0/duINrYOfduSisvSuqY6Q0NQ6OT+omvZAl0RIYpZzeB088f4q8GNfzp Gx7+fO8fsHHtvzvxHH88woNnGa72bGmGb2/YOBxkuNKzsdvjRVrgRi/H7cYMbjRFcXAkOvvxeILp vz5A2p/BDlzUf3AP+WwuN8vkw4/g/uh94Pou7DSFM+jD9muoJ3Pkro+528YsUohCFFVwfjotF6QJ szk22uU5pcO2Nu9547NE55/4QmbZMb0hy/KxNkswSXMczHJcuWB1B8cPJZseDoYIagGyjCBukrqn 8FwbzVpNSNR+aef29RZtt1gRbMK3JwipQ0azlIJwkUhujFQzfZXehWctJiReMcRmbYhRohxgmeCm A7gMDMJ+Ewtryq4qV1Bay2XZtjQMXcVKsd+kaHVLEOTLLKlaTrEu9uFRDaFEoXNpyTfRZrz0uJTe YlxmmFm5tBtfL+lK2RqfmUWZfbEfZSSby/Z+6cCj+0tvRW3Aq68gf9jcZwls1nn4qaUy6emTTp06 clLIBMw9UZTK2NgoSiwa8vp3vxai6fsY17tIybM8ax+yBK2AJHMsgtVhRK4B+Zav/qRyHRdfzVNs uDnSlHrca0E5TfBPf/MvuHZ9W6Z6re/eXph+msXPRoCKSJ2UwaLVYJ/IxnCc4/23HfzklykOjoFb /lzs1NP9fST3HyKfzGBT+K0dIJvGSI+GyJ48UwzfcKpz3eO+aE4Ri2Dxx7elRxWw9K85UuIpxGGZ iRPJHtNhm/zD0h/SsKoIuzBla1yy7Q3pPh9McWO4jx/crWPjg+9gtLAXu7jl12t010U8n4kM9NF4 hqfHQ+mtcqC1u5Fj51s5AVkYZT58S+Eexs8QRQSHU7rMOEldci+Lp5PFzCqF72g6bPrkctY5oKW3 kpJ5EbN80yzCkprWXLCMvmmZlRg6Dn9UWUE5dSryR1kYEqPTcvIWyHSwmrGoHyFt05VaIxc2e0GL wFadXpo+kv54vPuU/TTJAPkJbG1UJ3xfBie5W6xmWMupIWka0oX6mgdSy2due8WgQuAQxt9xNXgY WEe1T7f+90luIXWYjjtn9q44jm6KMKpebASKTopQ/Bkv63QqnAD7qbuC21msv/xLHGZ1vLWlri3X o2M8OSXj3XIS9AMLnz5OcWPbweePM9y95uLZUYaPHvB7ozw0R1Upco71n+8j648Rf3mg0JHQg+Xa KOYRsv1j2LUA/lu3UTw/UMv3nW3kwxGseYSc+/nGXclo/fEQVmcTKUXsUi3rWDKOxqqbz8BEao7j L3X1BQEvJi36PfFHys2sQKdTxzs//gDem7cwsbVSSNNEejAXtRLeCGczNJoNOF6AjbaLTZKjXR5j vSa/7fvZjof9OEdgZ8JDXWAj84p0+CUv/Vw1QU/WHA+ZHQujhHFHXXPKiYBM8Gzyo5Y7KhdgSZ2R DMVRpc6VN+D0UAKGfquqnWVAlFVr7lUApvSNKg8teYfLqF4t83hCuXTIyRlg1U1aMyYV3hPhPluV Q6WcLSeF5dbl/6XsLMtDw0us/r26Q2Z/pJwr7cSYfZJMvWTBG7swze10t6uA1NXfT1ti4X0OCr9t p+i4vJHoY1FeCG+Q+kaXe0JRjvckPs968hj/5fMR3Peu4cYVG+mDZzj44z+Dvw6qLApMghqaoSUa VUwWCQ598FWKu9cdAYJ2mtRjt7Bf38DG0cdI9o4x/umnyOcJ7IYPt1uDRTCVbSH+/EthAiRPnsPy fdi+i+RwgPRwCMtzRSyv/h9+DGdnSzTW4/omMtJ1iAUpzSqIjCefsOkBg5F+3wxWbmm55pLaRcAo zWypEDSl63aOrXSE7YmDOHhbS/6Lg0stlhvWkPrKffVdB/UwKPtYBoqj6+VsSc9eDsvmPIKfKbrc 9G4ZFDmV5nd++YHLEiPYkaieMJaU3g+nPZGrijY3jWT9q4I3q3/T/y4xSOXfLbuhtl6lh99LmTWc 4Sq98j6Ln9Ipp6IHrwh4Az1QWH+5tZcU2TN/W9+3MugKjiVBBsVqLfe7OqI7b7vVY6B3a076xuyZ CHXnlJflKTphLpIx5hgwu0oJ+HgN2tyokrKyDP6H/4yf/stjjN59B9OE/agcVwZjzDaugVq2cuNI YumzxJ/ex6B3Bd26hWdfZRjObHTqtuhaUf54e8PC27sZXCeH8+wZigePUMzn0rMSuR7PhsNmk+eI wYPalQPZaALLpWxPjvjpkUwSbd+Tid/kr/8RjT/5Iew/+pHY3U+mFPBTLbKDY1XGaBDQRmlx+RII feBNypLpawn3Q1ai4z23QHdyhJ22i/j7PyiPSNkuuOjl2OhnBZ70D9GazdEMfMwShbWwhWMSgZ1e Dx0qO3zDxevrKAH2yNV0CvQCoOmymogFBhGRWXCClvbqV+TUsc9sN/axG+4paf28hnU1y3nZCKtB S0s22caaAcQLX3uOu/TysdUemdnXFUWXssTUErWc1JWTRX3W0qZsdZun7Iv4FopzqpZDK7fT9SB7 Yq9X6DwESR7EFoaU1TChV8T2TgYfbq/lEMKxGkSJTjb2Gq9jWfMRko8+wYf/8hSfH0YI7+zg378f 4jcPUwFVtt0AKdUj+dw8QtdNMS58/OpZhIP6JnoMMjlwNMhxcJzj3nVHuILtei5SL7XBPvJPP0E2 mSCfR3A3asjpeeY6Mq1kGWOJprUDp1FDIQL4GfJpCrdd194kyeXDqWRmVEAoGg2EcQQrZNmeY3/o CMC0UbcEJNof5hK8WCaydaTTQ/ZfVaaa3xvZCNTget5sYpDF8J48RnLvzVd3oF0P7ZBwmSbSIJAg 1SwF/tIsR+BSuNBBaMah32JZbiBgWpbLoipsFdgI2H+1YKVkhSTih8jroIYEKalh0kZ6dTfNRSLi Bpgk7JM3T8uwTgYq80PDivUs6Pw3fPFFVd3uOo/wtPcxWZyhAAkeveRAEvjKEMXHVacqUOhE2eRn f0spSFqALSk45b6U2aGyEs3U1FAzFNnv241Fs796jM76vRpoeJE+i2yMc1/G1C/6qos8RTMAfF58 5TGgDE8q1f15MNVXs+xojoN//BDp5x/jqyu38CDoYNIr8Adv+9jsqDwO+0Fo1IXhyb3ccIlf0+bP 088eIws5sdMwTiwUke683ra7QCObwrv/AMXT58gOjjH95X3pXzntGpyNNqInR7AGcykNLZ+WUQ7c t5qCfGdWJalTiTtgqWjXAx3zDQZwHj6Es7EBP/AxTx3Mk4YEql5HSw4BiMYWmg0NUjzeDFTMsBgP 1T5MEfKtXg3jpzMcPXiM1p17r0yzilI2YQHUXA9FZ+NMF+mLKNfM2SQeoyWshzhF9k07no9nsxwD mdpTVjrHuIR/XMbyHBf9aEeydFdst0TT6qQagQkgnBRqprLeUC7xTmuB7EVrxYii/P20gHhqACvN UsV2VfpqPLiat7NfxTDjW8ZCSVHpIjsj9J38BH9R9t/INS8cppmNlV+g6L03pIZmOaia76XB7ClN 8tXgtRwq8nPQLy6jIcdpTetTFiEMJIBqOarbm4qV8vmo+lexhj/7Z/zs0z4ej3K8de9NvHfPBZ4V oq3OYezT/VzUPqn1ddBposUsK4klg+lHObz7n+GR3UQtB/YHOiKs1/TbI+E4mScIv/gY2dM9RI++ wvTDz5CNZnAaAWwyG5o12KRm+Q6KKIVd8+G2ayjSDFbI/lUNdj1E0WqoWu50LvZaglc+Okb8y48Q /Pj7wpkb+23kOftxlKNRKtBoUoCS+btbwNGILS8Lw7HGu422haM++0gEoZLaY2E/7+DDZ1O8+w+/ wPaPvgvQGecVLIJt6eps8zNZl/GdL3m5vJ549cW8fvIQLmEVloXj2Ibt1S61JVEL9Jp2je37PJug ZrcWiHGd/inMgJlJSoQ3lLrOwEWoAC9iabaXjWZVA82FM3haH6y6ziv9zKr2zszvMqVJMtCfJ7Oz Cn9RA5kOCYxlq5q2cv8NXGKBNysDlGl5a+NenTcZwI2DDm3CCLswTtECKC1Ywp2fhmuwqmaqZefs BdUx+zDymlyVIniBLWEldM2lUcblyt66n32K58kcVjfEta6F+89z3LtpgSY+gzHweD/HtS2WJ8xy gfTZkUIYXA+TJBYYwyefH9BmXCgvWx0bx9McdJN//00PnSawHUz0ZpTnmP3mEbJZBLvhwenWkRNG Qa0ootLHpFtp1psOZrDbTbAOdTpNkZmmK20eJ2LYWcqDIB9PRfCdCHnnnR6ayRRxu6GSNAUNWS30 usBGiz6XGbLMWWC0mFFRR35aylYzA2OADWseBhstfPjpPr4z+Amu/cmPYFEl9IIX+27z4QxOOIV7 QZzC81ZK/Xfpj2oLRXXqCvRqU+n78bfDKMAc9Ai9nFVNblwGGGKouFNRPpbRv6GYsHyKzJRNtMqN xDBt1eeCk1IgpgF+qp65i5P4qZfZqdNWNWNhOUReVyjerqYntSrMR/S5YKIk8KqTj/oQqlZUsqII YdQfmFm5aismuDHj4COOiMJX1N+1P6ewhrJHd6YCxbLPZoLVNLcRi5nkyednmRpfbnqF0JAoWPic VlUSnBS9/dXMxqQgrelywXxHv/wtHnpdXNmi0mcm5RGne0TZ7/Yc/PZRKlZbvJBvX3HgmcFsFgsn 8HAQY/aTf0D3vT+QMms4Y/+F2YyN6zsWrtuHcJ8fiDM16y93sykXjGROoY9sOFW6U4O3KcCp+chn EQoBcxUookRwWYJb8lREkZlAwbGjuLo7gnbPvngKr1aDHyfYuHFXeiOURUobvmheMfalsZaAwzFv fgrSVZqQkqap/sDE7dq2ha0NB59kLfz2eIbGxw/R/eD9Cz/2lE32wppANAq8+sW2yiQl/YzQo+Xj is7hhLVABGI3q4zjV7NUw32GlpPjMPXguAFclQw2rqvlONPiHEzhC2SkS/Fke2qpJTudgqRp7SWp uEsmZhalJExJHai+sfn35AVuZGGWGuTVyeTK8xePKR7JOPZUl2ZSjoBLNSDRy1DrcjWyKKPH4nX6 vkpK9kvazXKfBf4gFGP2sBRCsSydXww2NesgAvqpKyfe+hHIsxRX/UTAe56zLDRv1PVz8vlHtGLH 5QcrrtB38NVBjjvXLfyP/yGQYCVCg74Sh5/sWzgY5rh71ZG+1GO08K403GN8FYXI//Zv8Mt3foxW YCNKcpkksn/EIMyS16ezd7cDTKY6Daz5sL0u8jhFOpxKI91pNZHPnyO4tYVsNJVGOx+XFmOSqnoH 4SfdFooohj2ZKS+QmVapjZztHQjA1Xn7HupNB0hmovDZ8fg5LLhsLM8jeG5TMsErPQutGnA85qYL HB8XUhJSyoYEa6pNbG84OIx97OUeuq/g2FO1IU8TFLF6fL7qxXN2kgVoUa+BSUGlROR1dRAT+/dq /THTlIwaC20nxo26hSgDDqh+IFAPpyUkY7XiYhlIjFIs9atc9AwSlvaBJKMRO/jSmksAk4oFElkW q7ZU6jxn6nj64yfhBNVGPKcSRHeHIvWhwdSScumkcp0EFYdj3lLDirkhPw+J1qUX4rpZrASr6ozR pKBS+pny7yTcwQSt9Y9WlUimdMkkd08FeRIUuumlaFHypKTNm8/M36X5mxUY57Qjf/V3tdNWz7fw 3VsuatQ/t4GtDUusyBgH2Gx/+5aD7ZGND96zENo5fvJ/DZAmCTwCgadT/F0cotfmTY+NdmYN1Fzn xW6ht2EhSnvw46lQjGzfh7fZQZGmSEcTBJ0mnE5LsFfEYBEomg7G8La0/BJoSz0QzBVfQ/yVPJok cPy2NOOZgQlqm/cqAk4fPoZVC2BtbIjyA7959qzmRYCx5Qv+iLShrU6OhpdhnnhgVcljT7mZXscW oUBRfqCx78EI/iH35r2LP/i2jShNYM9n8LPslXgXrq/coolLQ0xfkoJVlwasYexiihA+ZrCzCHFB CRqS4cm2uJgzM8lS3KklmCURuiw1CksI/jvBFPtxQlyc4celCO2WXNwMYIysBJFmiEphPrNJBVLG WaSBqwSUciK3JBmfB09YD0wnJ2zVjGz5N40KFApRrSrlHa5itLS0q8IpGHSVAK0yNesZmfE1PPuA n/1FVGEM6x+zus1hRo3qky42fE6jBIUays1px+EotmiI9tr0rr7cvoXoaCQN9Plcv0FeuLzI6V5D DNWbtyxc8cfwiwSTVh0f/q//G/w37yAZTnDc6WGrRlcbW7KyrS57Rjbeu+fA89i3smHFsUwXmTmx L8Xg45E/R6H2PINTb8Fl8GqE8K/1ZEJouQ6c3gby/kgyLAJHWRJyQshMVCapRMuU824mAAAgAElE QVQ7U+RJIsYecgwnU2Qffw7njTuwOm3Jpups5pfUFKpJiC5UkcGLJrCiENN5IABTTkGZVbJslIlh w0JrI4BHIOxwgLzdudBjT05hvdOFlXEaXpIbX/FiEB6kNmpOpKLf0oB30I89dPwxOp5xmJpjEHmY sBo7HXDwjRZ7nV1CKoS5wv6CigomeR3udDpDWAs0aMlF7cK1w4VuO7MYZiwsv/TvtmQFS/UEsrxr KsL3AhzVKpDzJMZr/YJcmRjqkyVIxQWnfkuXGtXxUcE/YwJhXlMirkqZ5KRSj1PWWa3HjIHq+vTy tLVarq59ulNey+xqljNzPVkKUhJl0y+kX7VeApvPQHLzrOAJ8RqyK2qsfPkF7v/Dr/GoeRVNlmqW LYoHRtlTjq+tulGzBu/KczR3Pfwmelca1Y12iD9935NJG1Hl779lS+BrtyyEPl2NmPkYSYTygmQg qgfIjoZwaqH0qqx6CKfXkX+tJIPTqsM2GCw2W6jNPtdpmthwTSYyEaCrsmRZbLpzJ10bXm8DVhgg e/gFXE4gr16B227LJciY19vgsc7heQ6maRPzLJf+HAnamx1bAhbNLqjmQEBp3mkhiV1Eoym8Cw5Y XHGSwGYgLy6rzc0hHKfiqj+n11eAmw1CR3SwthTxZBvl4s5M4jefToGu72ND0NIWerVYemf3GqQ+ kdoQp/AkldYLheRh1/GVD8j/CTFa/268BRkskpLeYqRZXrzjJ/8uSGhOdrIMKU++skyrNeor2xPt bfLMUpJZyTRXonOcRsjTHLWa7te64KApTzkpNCUfyz8OCYz0sdmPlwtaVZjFycnnurrE6Jzsqu2S CsUM7+z37AsK/pI9Bh8+xOjTBxj84lf4tb2BR92b8ApbMg8CQ+nlx++DTjU8fGyg09jhsG8hbtaw 1c1xY0sv6LduOfi9dxwBYrL9Rtcbxg2RKWZApJ7VdIKC2cmzPcmmbGomM0jxRtpqICFPMM7gdFuK X6uHsJt1ycLyvSPBeC0yZ0ZRyvTMZvJ3IULz/Gk24F7bgbPZkTKQUVZ4ip9/AWs0hnX7FmzXRTiZ welswpmMkA9THDV3kVgFrm8XuLZdoNUocOTbeLqvgoC8kEQkMJ/Dno4A7F789+H7SIdDwcE5F6Tv /jKL10no+oIIoG5dVYZce1o0PuXkXafWeZagaTMri0VVYpQ3YLvaJnrZRU2xGDU8TXL0kzmu1ahZ 5wMU3KR8s8ux6TySvhBXtRRhxuJRDaBUFqW0apHNRXWUe+iXvoLURg+d5gon8WWWuejHozF++U// gsP9Y9y8dwMbva4QPvtHffR2NrH/7FAeOzroo73RxsHzA4RhgKDmI4pmgrfx/SFGRxPcuHMDm9ub FYS6ujkbjqQqOyje6vT9OX+tfrSTQav6OHshdAHJJEs9+SwlZ5/9vsRtzfLLz66+/Juf4F9b11C8 8yMplzpjAivVUZnZEe+vk4l6+pHWR5kVLgYkZlGUEn7zpoPb19VCnhkJeaBZTLE8S7IY8WacJ/qC /gDp42fy33anLdFMsnnHkQzJY6DZZlbEoQNZy+reZEUxio22BrB6DfYGHWZsyZ6s67uwaMGVpAJr cFhCthrywwDAEpSaWgvJCMouHxyi+OwBfN4s6zXEO9dE8+pqTyeFRIEX06W3YWZupCJGyCHQaci8 b784JXSjWJgRFyfmd/YSTrGVSgNFJv/iY3DSIo9mFrOcEJAY09EA1zohNgMeF4pMWoKFY19QwXA5 xsf7aHQ2RYtrVYJKf01G+/BbW/IdsiydFzUcRRE6vqITcosafBYlSV0kiWZZ6wFHyyoVqgtFP2dV KE8F9HQyZz6svO4lApdEadtGlmY4Phrgxp3r8t/z2RxhPcTB80M4JH02aphNZ6jVAzz78qlgbBjB syTF8cEQzXYTtV5dnnt8cISN7Q0ZIog0jkBMjfqnA1twJt+cerT+2c6zjaMD80xY7yf/5hSJZFih oxngaQj/fsLe1eU7OAc7PQSFg72xCuy9fcOVbIKNaJZ501KVulGHqIMSVGn6Wjab0Rz/k9JCeWPK OItkiwIvhbcs8sQZCupZjcfI948EI2VvtHVKGIYCCCVHhpxAwVpxAijaxnqGs3/F/pO92RUpGbXK UbVKbhfdLrDFXFzdb9RhOUTOqZsQ+C1kO6oy6lF903HhbHvwWJZOp0C9DjdwEAbqd8jFz0GCNJ2m CZJlP4u90eEkh+W0sNm7eIkZWa6L6XwmE0+3dYE+iGcsAXHDQZSPpI1y0sJPz9VJwnLewa9+8tfo 1jx89PgR3rh3F41mDWw1ZU6AZ9S839kVufT+3lNcu3kbR4f72L5yRUQTp6M+oiiCHwR49OnH+NO/ +J8AR7NIObapi47APy2BHcnVy7KQb8DUlncis9PmIlK6irHnWtp0ifCeFQq/7jSk+ouXbqe72cW/ //M/QZ0fdDyXIMY6+c5bd+Rvg6M+2t02RoMRvvPD72DMtJ0mmlmOVqeNerMBz/fQ2ejqvpS4K7rH UvHU0HK070bMmEb9s7Ffy30rH/kan2nZjBcRfyOTXPkbg9W2n6Hhnl0mS+/qNWRXXGEa49p2A9eu Ovjws1S0qv7gPQ9v3bLRH5VlYV1R32qJpYGbFV7YzAQG0awxK6GcUyETNWIeWc2IySklgfb68oJ8 j7IwOdx7t1TThaW+5yEfDKUXJdO/+RzZ80Okzw9gM/th2iZCjgo05WMMahZ3KklRMOAcHEmWJOUh 60+WiASeHvVh72zB9tm3tYBmR0SHoloLcVqD07uLjeuRlKvsGfkCj/GljFWzVgYs0nZUgZR68oQ3 bIYpmgKBufjFySAHAnaSCOH8MiaF4sEo4SE5JRFRJusscxUrhRx3b17Dl/c/xa9//RscHR1JX/yN N99EUXgYHe7jze9/gGcP7+OzX/8Cje4WHn38EaZxglrgwXJ8jAfHqNFJu2SYmNVyTb/ME8u+RbpR ZwocJ/JTY6OztGcX4CUt2S2lpyhy3MgKG7rO6jj+ZbMrUxIy2PQoAUIIvth/6/Y2t/WxNjE6ADqb XQGPIqzDL3IEvF2fQlo2i4BQyhobnXgTg5jC+9+Sfb7a6zqNqM0JB0GsqnQpj+UpWnaCraBASE2n c45RPzbuxpc/Gfzy2tv4+IsDeG6ON3Yd6UXxIn3wpJAeFKun7a5aapnsioHoemOCzvgAWbsLq+4i 2mjIhc6P6bpqbhoghj3oA6ORcv4k0lF/OAYYoLgDWQaHjte0BXvyHPH9LwRbRYVRQhSIamdgk+yL vaxshJSqf2EAd3dbpobF3qEELOf6rjy3OD4WIClhDcnDJ9qI5/cX+PA6LQT3bmO6exvHeRO2F6Jd y+HMpnBHA3jeJuJEm+08DsejQgwyxM7O5q5niEkT2tBWxEUvmRSWHpXppTXeS+bKmo/o4q+kmqU2 Nv0Yf/qHP8KTx1/iL/7if8Dx8BDzaKaJgROgcGsYFx6iOMbOnTdw9fotDI4OUGu0MDw+RK/XQ+F4 iKYTgcJUeZmEODRDKbzLa5nBsbID7GNR/J1Bi8EgziiOR8AlXXVUoF6lk2lKWlJZzrn/rwcupbWo Hrsiz+VZi7+edtBOe0zKVMnoSvmPin4Xl2rE885glSj1aomrRa6i1lcJ1y9TGla5gctjd7IsZP8p lmakfgFFFmHHpyec8TdchW6svy8R8SxbXgeS4drsEJ9bOXZ7LjZaRKrnkk0ZATtxSyYuZ6yfvR4W uNMYIZj0JfA4o4Fo1tfiOQIOPWp1Ie66ZaDi33L2kAg1mEwlm2JznOBQkUpgYIoTpA8fI/r4AYok k8CSHo3gtGqwAw85601Xp4QFp2jtljTWFUBqCbjUZnn35ROVrmYjX1jxtmRtvItItkK5Fpam0ym8 lOYqTRz0LbFQaxCcHDaQJJrR8DMTGEst+sFERf8azB6TBDWCO19h5jNKIrhpBp/a9a/CvLWy2Lfq uFQeVhcOFa1kPqqu6wRSs+HezGLYsxjtbhP179yV4NYLO8iLlvS5OdhixTNPcwFH39p6F0dZgHDj ilwX7d07i/c07N91ldtJ4mO34iK1+OTG8YNN+Nk8lWDAHaRkMhdlWUnHYdQU6kORlgFrdZ1Eq5dj 64IX8Wh5UMDXB6eQrl88aZRehugsJdJ3MwqYi/cr6Tfq1EMjC+UFMvCKeB9BsoLeD87AiZ21tG93 VoCrbop3C062OM3kwzt+gQ1fyb4rWzwlSBLZmwkn8vXgrjasRKRX9vs5osjCe3eUFsLRPjMltoye HWjZu9EC7voH8D57oM3unS0tYaIIBZU/qQ67qb6O0hsy/SbWkmx+12twu21JVawSjlAMx8ie7yMf jOCwf8Xg4jgSrKwwlIBjYSKBK5vOpacpQNBGqLzBPBPMlnGLYFDLBirmIzAIrpKzycY7J4f21gas Zh0oAaKk80RWE8NUaIjyPZGeoxQdXsAFpkmBeVKg4frY5eTxFS6fEjmDATJK5LxiTiGzYFqxSeea 5jGU85FxgnGzojKsg40GvREyxMVUTZBLvwftgSXqbmU1EDoOsoI3AUrWpDiMUxyl7DeWttpnLPa9 urXVm4DLDETQ3JVmtONlmMwn8AVpWj7IC6v0kmKWZWzcF/nR2oW/5PZRpWB8QhdLFBSstJzenTdx W13kODFxYfYSel6pL074TlU7XPW4VFC/1IjnwaEYmGRcL6fhXnlkseXqxzTl4PKp+jqaBfiOjW2O 8NOJPNaSL/1snFn1vWaCyq4qtV7umm1s4/3GEG/cJuGY7jUF7j/Ww8AJ4NGAvSPgymaBe/4R/MM9 DUTUq2INeHVHFEAZLKxmQ2VRRPLF0exgPIHd25BGmMW+Fe3YGVimU3l9+uix/s5+X7uBfDyTiRMl Zoh4Z4YmZGdis5JM+lg8Uvn+sQQslo7KIeRzxUUC+UC5pVl/VNJ/qCsF2HGKnMOm/SM4m9sIvFAm oMksR2zZGE1oOcXqQ2McP2ad/bmEqqkQDmUz9BA2Xo1aQ5VTaAdz4Ui+ij5Z1Tug40+ZqpQmMRGc ggDx0k+hUFMaGq14vqteDiV9p4Rmag/aME5Yyol3As2P1fdwJwRa8ymeRxNEdk2mgig9UasVl48I NRESXMYTN85monog2CtRK1DCL8e5KWVBeBe01GTCRCgzKayWNqqhY8RayzcxF38pTbwir7dAyFcj 6IvQ5uVOi4hpgTkhN64jAWIZr0rN9dLW3qX3Wpn9qAIDDSriCpl5nY7z9XoEphxcBjktVRlQKWvb oysxKSNybJbWX1Iam7v8Su8PovB42YoM1TWfzPDFUSYQhnfu2mi2bLx3N8cvPi7wxdNceHREAlxv zuAPhyh4wbMRzkXck+gOeyiuXkXs0dLdlUkcicY22cUMYLUaimiOglCCJEX6yX3pU0nf6mAA/9ZV oeEwI2JPil8wg5Wz0ZH/zkcTZIcD2BsdnRJmmQYyZl9jV8jRAhTlBI8UpzSTMjI56MthdXc2JPuL j4bwmL29FSJzPUQzC9QK/OypjXqomZQZKlDZh4oU5BdSO4sDCIr+kULVoPLDq1yOg+lE+bp+89VM Cnk+bnqEAHF4YNzOl8BQ9n7Vro8JjrWYwsvf5EadlZWamb6TPmeqs0jcyXn98ZqrhQG2s6FY0vtB DcM0wWFCv09CHqgDNsf1Bj0m+P1p9ccY4nIHfFsrSL142atiU5NfSiJZCWMKkeTcQbvguJMZE41N yaovezR0Q6lwEsXduCQnr/P39MMIw0/AqerSc7a2jgk40nAvcyOePMaUYn1VeXxcYtwgmBK9awjE gR+w0nyqBpzT12q/a30Pq+oMRAjzAmG6nFIpYGXbq6j2kzAQ3sVUUfQ1xSv4R/u41m0JhOGwr31C mjXQDYcIb07HHMdG5DXQrNeB8Vgncdzjbhc5hzNhQ7IQFpOBlcFhU50nnyDTHaDfV6OIyQTp/S8x /+iBZD+0PvOubkrAEWS7ZcG/zUmhqjMUcQqrrlAHyeYYqAJPh0tEzRMlv7MFi0j3g2Oh46SjGdKD vvRNvKs9IUgLdCKKZDv29iaybg9z3u3LU6I/JIQhl/KPcAZeCsRi8VSm8qgMESinw/PL9+Gy//YK FxvvnkcfT/UyeBXtAroUkdOqasE6aVfNONPmsUXEcnnOEuleU+MXUU5ZXiOSkJRimHE6EYpc3dbh mY7zMmRujHlC4HeMlteQlskomYvL+2ZgpuOr15xLcboqHmlxcVE/WRjpIziejZrLKaGWjQwwSTaV epaZ2fLK0qxLHGpWSMknic1mxxngJNcSQnVVmE53kgGJDWz+zzXqpxIsGe0VSvEiMJ1yD9V4Qpv2 Ko+8CLZrJWA1+JjPZZ534ktWns/id2ZXlNMNfBeBR/wS9ZVKu/uKtPJp5SAf4pcl/avXKIF8CA9b XRsJtb77BYYj1YIaTLQXSRAoPyfPC4sAaF78vU2BYES2jyi14RFkbmfwiFA+GioafTSWZjrhB/lX z5CP2Ks6RPxkD9GDZyIBE9y9AofYKoI6mYkRb8XeGHmG0zmyoz6Kg2N4d64pPqsCsRHncgFAs33h ShO+mMXayqA55zyFd+8mvB9+D2mrgziz4SQRpnaIsdcGBUf4HXRbqjpKWAarS8onkzfZrqtCA2Ed R0MN3OF8gt4sR+0VZ1jiUxgEos7Nc+rCG+9FgbpDw2OCfANltqxBDFaeXoKyGQNMlrWERC2fFWVT RMlMsivGhCRnbFD0AbMxtRYText5RatKql3ZPQ3SAhw1D5gLV5SvMtp5xYLhyiMLuaOEUFM1WRT5 kr2jz9xE7LlYUuYWZVTXq+zTA4D54MzMnMKFT9svOe3NBbssMhusA1/62C+zFwPNYD5H7qBPR521 TOplJoOnT5NP9u1mMSV4KFRXlqUsNxxHslWeaHz8nHfCjBOV1wRnMMv94hGsW2+hR9iypT2bg6Nc xPo4IeR5IDIrmAnROOt0MXfrGI+pP5+h7Uaw5wmso0PWA8iOj0VJVIIKR9cMRCwHeaxYrsUp/Bs9 0WdnqeZstKS8kyjJjIwBqxbKj91poRB+YCkpw5sEazg2gjtlqcRSWxr1tjrsTG0hTbu9EM6NXUS9 K+hnNQxmCoblYqWaLKzqLTFVNT2razuqYUaQqcsgFhUYz3Nx/qnlCRpuAIfTzVe5KPsSz8XNxy9b CRexeK2S09qyM2z6ZK/w0VKN5Yz2iGldSI/rnHRBics8jhk825ffq+c1kw3bYSCLMI0Z9NsLVeNq IiDVWJEgysZwDdhzEayKFPN8vAg6gd0EahaSKIcTalDjc+hPyF0OeMIyHRRFByOqd+KwnHfIdOcl YpOHpLpGCj3QDMvYW521JCE8AwOmDXj2sVRckAfEGGSclfmtbR0vu8gWYCnHzIr2UNXPSCItBwQM WtUBwfIzlFIyQuV5ff0rXpVfJR62IqDJpjR7WrNC+jWSKFoab4gSYOGa1BoYJDWMhzm2hk8Q7H8l gYK9h/TxUynjYuKeogTuZlv6ShkVNFtKaiaJmf0q0XuiVRddcWSKovAD6TIarXZ5c0uyL0ssblQL i7wnTg8Xqzxx+J40YJXS0XHg37sO69pVRG4Nw74i8UXu2tZS13QuEhLWI2bKZREvVvYKHD0eF3h2 rHLQ4pHpcnKoVKFXvfxaHW4UKRzjgrbpFgmuhbkkBC9LqTNFHXtU8tsaaf9E64Q3pbV+sWG5qNtW jixNJLARpVBiglcA3KJJx0RAm+Xs4C8QF0tzhoJNN50Q2AERvSPYbgHfCYVnyAmgHEinLtHvRctg oMxHXj0Gis9iuWmekwn4sniJ7OokcHX9d+02qAHq6kRyNWitHmzzJbzwo0nZR8suBiOja7USOBe6 9VoanqZQQVDgrLCFM/a64pXz9AmyJMNPf5vi7tTFRlNNIsQhOQXq1MPq2tiuzZEFNTx6pif6ze0c 7j/9Gv3/8+9ERaH+7i3MP3+ifScK7Pku5vdZ9ik03r/Zg7fdlV5fuidiUvDvXNfpHfthQrVxyiyq BICZ6CF/U1tmcRwizYeHmhGVJQfF+wZjkaZhkz09HsEl7cfzUIQ1yaQM/5EbFSPVEnmRJgrfIJJd yl4GQz6t/C4ns1wmgywHCXr1Ah8Bo/clLJ94NgJouZP4thkdA3SGrkcT1RcbynCZWKFaeYQILc1j zlvVRvz643p92opAyTmR9GVIxUpEeYyRKsSQA0wlGaZaon9VAE2vKz0lhd7bAv7i3UdSO5siZyFm 8zHm+VQioTFPPe/DVp2S2bhXw9NcApwJWqqvTkeMpU76crJ39sGQ/lWWL8qsdXzU+u+nTyS10X1W n2p9O6tr+TizJykFicAup4brR4LBjNgxKS3KqVr1y54kTLBPt/y6lFUUOP75b3B8/Rbu7AZCr+GF y34O95IZRqdhYWejQDg+wixuoz9s4Mo2m7GKw6GkcfKsj/FwinQw1c3SoNOzwRuyXacQX11E95hd iSmo6FdJaoNs1tfyj5AHTzmE5YFa0HEWqrFyIZRTIWnIxxqo9g6RDifIiYpng73Tgnd9B/b1K8hr NcRzzaK4GQYrkckpvwZ+jcy8+FnlLehTyHZOAUG3DybAlMrLpIUVMbZbBbrdZR/4lX49rov5fCZQ De9b6sdbhC+4Kboerz3Z+mqr5qxrupRzqg6aXgS4FtDpWmA78XyrwCwdS79RGATsh2YTKTnV8EVZ NS4nfkZSRqRiRIFTJSHUtEEb3klGLlauPS3xmvJQ2OqowynBeYvb8SuZE08z4jjUIVr2VqD3zOYW 2RWhAblqm5+/DP7jbErQy55M61pU6//NO640PEuaj04e9cbOkoOloPYATpd55j8MVCwdqaPESduq XIeOjl9bejUa4cH9Z4h276JBZDsJ3JNcgjADimVxjA/MEhvz7g4ORq5mjNxvBqXeBhofvIPZR48k m8oJnA1deN0G7JonTXFKvohCqPGtFLhCIFmZlJLjVEpIZk7B999RfqBlsidKHZfDHB5MU1oLDypB MZ4gPThC9OgZstEc3u4G/Hs34Ny+AeveHaSNNuKUAx6NdWI0UcZAfo8arPgda/nLc1DgPbESu+kQ NJxqq+Q2xvjjboTWH30A3Lx1KV9PYVMAkZNCnTx/mzK05uTSs1pWA/q4uZaqJiqL9y8FD1SavPrY uXstWfL6tpY9Mj3PJEWyCVTnNJjJtScJEVEERDIwLs3zEdtDilrnCck/suVORxjuVJ5N1WiizLrM heS42hafSbRX152zd1dTSL4h31h9Z5SQvHxOLoh6mlfo7wbr9fWu3fMO3lkUGHP4XmYbDFYo3WBY /kmcYlOagLhTv9yT7yOTEfkCT/614Vo4FsDka8iyigL7P/8NPrv2JjLbxiePtczi9Ot4RDdm7dcw y/j4YYbJjqva7uXL7dEQydM9xA+fImMawtZtN4TNZvd2WwMOg/uIwM4YTq+tUYOmEUSpSxpnCZHZ 2y5EqE/u5nLlaE+Mz+eUMSfmwHZgszlfgplZdmbDib43VQ02FVhqb24At29hXu9iMrMwmRbCb2QW ZcQfuGs0x1DrejXTSMvYyBs2A5cQn8cZnLzAG1ebeP+922he3wK82uV9Ra6LgjcPAnIJ4fhWVKBl U331pszrf/l3VTsxLRW9Vg2iXZ51TpJgApxh0SzfmZAJUv8ixUraPmLS/xwmS4RPETw9Qui1EDh1 3YdyeyKRnIFSLNRvLy9osevSneC0cO2wSa8ptSO4vo088USnRtgxleb36iu0yy9TROH5GRj/yqdY pKVytyuAkP2DFxKpT4MHrD5WhVmojHJV/fPFwaq6D8z67FzNTZettbPC6mmCgMvU+ESvjQgBK0ck yqqXuwg5+MXzCMOImZ+WSa2ajUZNR/yzhNCGMsOaAx89yNAM6Rxjo+YVsA77gkSX8vh4DKfmSYZD pxtCDAxwMz0cSXObh9PrdctgRdhBeTAdC87OplB2CGOgHhbhCaJ/RYBqty3N+Oywj4LBj1GFYFG2 D+oh/JtXELx1SyRZOBG0bt8UHyeqLHDKyeY65XEI+AwXTjh6n19mVkvclbg+k5udUgJ5jA82fdz7 9++gIJSDN55L/p7mnLilCXyyA75hwGJQqnurstzLxGHpQcprlEkMe9WBVdfSjJUQISK5cVE/e1WD liLONZci1ce0e9gGYnXn2Ry78aaRIilieKXvJznBnOrnnDBKYVjSTUwqeNabnsAqSbM9RGZlyFKi uTPYrtrBnpjUla40LDmrfELdzhILJbguTvTKlLSatSg8QUvW80Cmi+ebvlMZLEkp0PrblSguVJ2v uUzbJOBFVZlgnPXe5lWmfq9medLzKrEr1cf5xYlpJi5xFQWe/fw3iGwXjbBA6Flo1GyEhEG55Ava EqzYdA9cS/pYvLjp0UdNc7pz5dvbsI6P4W5vwHl8qHgrZgPMClh2ZRmSw5GUiVJW9CdIj4fKC2TE 4ISQEARmU+nyjpo+fAKPzfhOE5arzXb1HLQEk5U+O1AaSKclAcu9ewvW7lXkpG21O5gWoWRH4wkB oMt+VTV7l4FTqdCs3xgwLW3LVEJG/aQ2mjVsXt+E84p5g+eteqMlhhSGJfFNFsc6ZN05p5ZpGrQo zWQobAxOqR3DXyizGLyk9rJWxAXWt1m5GYtwguiTkW2SCEBdOYpUdqiJzV2UjgSzxfaDiQn0CWUm RsMcV3pTxuizzLCqF1DVRn7xsWRow+hLFQcboV+X502iMWzitYS3WzWHKC3gTzS0WSZSrpjoWR1f m+yK0V9xVJqWst+lhGsGnGoaflaU11fKB5bs0QQwQg+WOK+zFUMrWzK6YDabgfwslbvGKe+7/KJO bkO2QzIom8RrgY0XzJwa4ZcNazg+wuCXv4F39Q6CRoAoLU8WUlFgC3+QYmtEflNahkGs21Y1Udpf 0SKrqHXQuXoV4QeW8P/mv7ovuCrSZig9nBLyQRAnBRuJ0WKP8uFz+Z1wB1zP6FsAACAASURBVMmi SOth1iJ9K6PTHkkj3dnpLaPKUjJDUe6TucjMuG/fQ3H9OiZhG5M5UbjcZ0hGxbLOBCoVENS+VTm0 lIyLAY1BitkY5aCJsyIImIshshVa2G04MJ3X17GsIEA8HFBoDE5FxeDrrJqdC0D05MCMfWtPJoBF kUiAYRuH2ErRlyvlxqWnVGrgqTv0UpF0VQygUmoyXhRT1FyyF9gWMdlhGRYpZpCqmrHresLBTS1O ImlAoVpYzMxdxUOYLGtNDqaSWVUzLTOO1DKL8TqF7Vho1tqIojnSZAbbLfEz5YEwz5XHZJvqcCPq CRKI1OeQtBb++I5qxmtzW3tcKgejrPHzrmgzKlVLeUdAqUKwlGxHXYKWB/flsScnfz+7ZD17yFI9 nsvf2TOhd+GoIPj2pGHFK1tRhMP/5+/w8dZdeKEvgnTMosgX5IqTAl/t692cIEu63pBjR/SB+PNR lC+wkOUOoivXRVvfOerD2zkSXBXhDIJQRhtOa4hk2tfvNMmQ7I8Q3LkKp9dVHBXxE5xQk2ksyqMB grvXYZH2suiD6DnIiSDxVYRBuNeuwrl7E8X1a5jXO+gPlaCtQxJtrkucI02IbizCRdW+FbnRpmcj BYs4xHDIpEoMBk1BB53s6gaSt97Ga122LWWTlZFl8vUXoQyNU8pBs5hAMOMlzpKZkLJbVEaqmoDw OjLimKcFK3neWtLCpckDhT+NNJV5Db+gHIVNH8KpfncWObhsUYiLg0ykyoB1Uhr5tDc1war6N0ZO Zmk0rZA2nRfDykg2pbysGj1wJ7kTGkSYinpCxeG/rJENbMKBL9grjpIVmKqZWZKrUwf3gtGfn5Gv L/fi9C9GIvAythlAK28sgqaX0vIs1PnJgMgDqEz085rr60h+M/7V/16/GZhtEWt2EFkSrIpLDFY8 6ac/+xD/PPaArqoScCrGVR31s9HOIFXxJJVFQrNPeo4FhG6OsH+IPKwJCl0+X+ncLDgs14bbqSHZ G+h7szG+Qz12EpxzmfLxuVadpZ/2vBiorHpdsyjKxjClI9Vp71D+7lzZEtqOfesG8o0NTL0WhmNL +I+kExnScimRJcGJAUz2v3T9cXxVTZVme5TLZx1OS+AobTjL76yBBFt2osoTr3EVrot6WEdhU7Ll 600KeQ21HHpglrLRp07GlfsrVLkFdW31bfgaUvOEQVJeZwoZWrZhqpeQgTYZx/Qlk6W66KLUVshT OoVjq/mEtpOW6HeZEio52Hyo1UZxNWCZzOq0xZJNzUh5AvO13MESdCqBQY1Yy8Mkz+PvQq4sL2ie RwlNLB16kKULswgZDAgPUBnbTC05UbSL1ZNnvW9mtLEMMVPfX69Eymfofr3MF61wBqXanNc/O2sC eRKYarJa3s33Y1uCleCJLmvxzR88wk//5TGi3lYpO6yfldNABmhmVAs8pg75tKgm+wgWevUEmRfI 1I0GDIHrwWGGdO8G8v5A6TGlIB+R6QRvuu0+Etp01X0E13tiHiHmEkzZBE/HyOJKIJLfS7hCRiv7 8m/FiPI0XZE6trZ74gUYhS2MhgUOjzVYEejKfWbQYpJHwww53mVj3Sx+Tjbi++MCx0PirHLhC7Jf xz6daGxQzM+zsF37+vr/J44517eAIxQWpW1ilTMXk+OX2xY/SYgEm14u0JvTpuYGvS4CAepIuHJG r1RZZQNeeYEU5CSbpJDuFq9Vub65Paq/SBWl6qWe3TrRg1405gUixFI0kMRFTJ2z0mqw9EB1A9aM JKwKSOv05tlpaNZVOk+uTGwGp0JNVqm3Xj5TIiQ/oMq68OSOkGbKM9IAZ55X8hMrdhpy0NZG/Ip/ ylYCzmlgUW6YEwhul1leCk4aON0LKiDV9S98bcIpoFCdMBqw5/IY6OtPB5SeXsub/VQQaYppQqva Sw5WXKMhHv3132O/cU34XOzp8MJksOIPTxRyCLnr7OuwByRcO5o3SPCyMIpd5Iny7UTFIWyiNjiA 3W7De/ee6LVbtRoyEdUTy3B1bOaJt9GETwIzQaKENjRLtQMeY2ZVlJah20NpHsqSkZruooNFp5xb 1wWuELsB5qnDwfYiQEnCVmZSKg9jSWkrgxzTbBaTDPaqgOFYsyohNkf6WpaEctGwn4oM9bYHl4OF bxJskkSEBuPZXI6x26iJWgQzya+9bBs5wck8J5kurkEGzlpOnqLn59JsP+szMFiw4uH1ItO7su98 2vMVNK4JRFb+yLXlhHALNtf1+mfSQGkqA0Y/bVWvI8Id+G/MqipnsFMYVGA11ITCKf0Hy9Y464TK hk7y81amhot8adlEkwDk0Hh1dewpQY/W8mvzL43qcrhKAVaOOn04HIUXbLYni+xq8Z2xWW/7InWT ITthfrGcTBi2NpvHZKCTm1aawFbrxXOW2fZ6sFrPnFazu3M3ufLp55mDTHlRl7t+9s/4efMWJrkD hgp+vJD5tqMo8LwMVPVSZZMBjKN+koI5PSS9qD9WMGlOG0GqpNZ9ocnkz/cEtc7AJehzkSnKRVxP J3p1+Ne2VKQvihWqQIwIQZFsvDMroxwN+1QkOtO2hifzlZ6Ul/aVbeDqFcz9JsalVyJzQcFPlaeK BC8CPxl8yzKW702kn1sKXbKJy9dMyh+WgYQyxGWwkuwsS3Ar7eN9BuMrX0OzXSSGUqS0unr8FHsf fY5H+1PU8wTXrm+g9Z230bqyCZfDhq8JTwibbVizmUI6XrJE9SmJ84LTTKWXSImjz7jCCvSjnAxa iwqMzxSRzFKuqezrGoVSXoVCt5NgFJxy3Z1khIg1X4kHM+/LKT8tB12RkbBrgjynfpNSZvJzd1SD AdM0QhU0fVx5S5nE6OheyIwWU0VOlZqIqVB4giBdMhhLbiL/XxVNOc3w1qRqzCsUkCZyLmm2MIKt 7rdmjMuDoxgzFQ78Nriul12nI4Wrv1Osz0ZaSuZc5gp3r6D97DkGmUIEPIcnCgMSG9Gq9cSMakYM jmdJg500HZG8alvY7endfkYVReFH2nBzqmJYyI8GSL96ruh1KizUAqQCfiqQka7j2uLSjMM+rO3N Zc9qs1HKw0B6ViwFGbCy4QjZQR/enRtiTW9tbQoOisGTsZBBR6AHzKxSDaqCXmezPWMviiUus0e9 gPgcZlcMUCwdxwxWZaDiDzMsfld+FuN2OsAP73aw+d/+MXJqf71oyZcaIR1NMH66jy8+/hIPBilG fh0WnX0s4LcjoPt3H+H7Wy5ufvAe3OvXXjpT4qLqaBrNYcXhS08K50KqPx0KYSbxMv1j2rCYgp+s blZet0hiRIrzFIKz/FW2uwp3Otm/WvzDnqM8eVklSUUCJhsFXHGuLZthTJWN8J75INXsxfy32lZZ gkJlyla1sTKjY8Obo6MIg4n5KMyeEkTlji8bfWIcwYZ6EZSKnVOlDC36V0vJYCMQaN5P/1UMierH 64ExWj0urcg4kl18AV83PLzcJPHsieEqotgE/YTXugT7yw5XwPy97+KDTx9hdJAgyRpSChF/pfpw 2ueh7hUDAn9v1m3UHeD2FeDmVTVUpbEo+1gccY6KGmx6DD56LD0p4QiyEURJap43QmjWyW26p0J9 brcJ7+ZVNTcVio7KLEtTjNkVf6T0UZS7TJd3eii2tgRnRd7EuNSzo1wxAxUxV1MGn0T7UAw+PG8Z gDnh5KHm3whbGExztZ2PFBjLoOnPI3jkybo2rmOCH9xoYKMMVud+S+S1xjHi8QzR/Qd4/i+f4NdT H4etTdTqNc1eCex3NNvLwjY+6x8j/+WnuFGvIyAi/yVvjLbRazb69C+xqGB7mgqIuU6Y1RhslWvr 9VJdp1VZ5/NsT0cdnFxVbKdivGwO1FJFGSj5XbFbHMS5w0mEblNtvaT0YdpG11Y2yuiKIWhexWMR 4aqATgWBKm5jNZjpfy8/GPFG0mQlulC2pRMCA1JbVU2gxGpeeqIZOIORYC01oin1JRPC1WhNcBvx IoLXYvtecF2KpDUHv6oWsX6wzlsvo9awil4/+0s0i1nhjMeZ/aPXRB7c/MMf4vb//p9w370jHvLE bQY+BytL8jkzFF7sQnxuWrjey9D2mYmE4jnokTxvBxIE7Fyt57P9QwGFervbsLd7sObKlnCYcW/M NeflBLFZE3dmq91WKo6wjHMtFUuAVMFoQvG6NoOajaLTQRw2pPFPwb801WPHQDCdKjKdS7CCvPGV JSLjIPtHPF9nUa4l4JzQBkhWZecZetEQd7M+ujs9NG9dR+vmuyi2t+U7OnPxWEVzRHsHOPzyOR5+ eYxHY2DqXwcvpYZvoVmayzJz5Q/7Y2z+p8EGHg4m8H99H7d/9B7y0srrRatwOIEPkRNx/pKTQl78 lO2WMrmMRebGubDzE4GC4ERwelGlsHyPl3ve2qcxr15uR4KmD98NpSVEFAE5z1zufDRBTBoFnW/L 1xj6DC90xWKwV5RqoGDWQzGuVOtMLm5US0Od/jFI8TX/P3Vv2uzIlWSJeWzY8fCW3Ku41tZVrZpu s5Y0Njaf9JP1SR8kM5mkkY2NuntqqrsW9lRXkbWQTDIz34I9EIgI2Tl+PeICCCwvM0lmX/LlewAC sV8P9+PHjyeQu01MLws3PYiDyEKhAYC14CqqHdTmFgGbMLRD88Tq8JQs2TDZANv1hDqDyQOwwmSn F0JXsklw+D5Gwse89n93v8u7uxzVGMvINVuV72TkDx7JGZ5arkEAdZ+QAQwUw1HvSic7DBLasX95 B6sWsjwJn78o0QZL50zWH0rnwZWEYLl/+ZLhHaWMYSnoVhRSPlhTVib54BmbnEYfv6dEUbv5nDor sSyEiT3VJ0Z4CTC+bCMUDAiUL6i/rh4SQll0vqfwHkM6Iz6rdBKhAxRiBKokipAQLHZ4YUgQPSrm 8u8/7svVf/xfNgzHoUtDYnK2ljHwqf/nF/L7sid3oweCaYKafRj6ruOttWKlhcBhiED7cS3cFtKT 5edfSnnRFvn5vzuZ2jBbLSk/naDt1wkYGBwPePSgQmwUprlwC9dfS9ZMi8Fta4+oQJN3dSyDapl7 753GpBfW000gxgivNGaCjvYojCQuZClpupZVO5IzdrVIRHJgQ2uBfDIMifURRAxMcieOvIxkmQOs V8UGUgV40yPLBOuopS/gTcFCYl1dFFLnBbNuNCjkIeEqVmfHIHzSIgKXVbRhJFO/LVh9fjScxUEx I4iqb3DEZElj1go6G/H4Nv/keLr6VILp8aFuOAx2RDziOxKT4Y1efPwh21StQisALuWsF8pZT5jq p+cUBqQFwANDCPXZXwpOQkR5rLPLlKeVBYl0R0MJ0HYePQIBCCN8aaMrzh2NTozXEO579ljCD76v nZlRibxA3Q96SzkqOjretKESW0r4oCPB40dSDvqy7vZkMdPWW8jsQXdePSXdV+BT6hk6vX965jha ePu6r1pyo/sODwW1eY9GLTn/n//2ZC8HA/fV/PpGPvlqLv88eJ9eHmAV7D6rjWJ0dlJjZTWLTDqY LDvzDJG8uAtlNMnkkeoOHd9wEEjUaklk+u4nDJwCJhJ2VqU7pUopvCt2VunPjWPzxP/8lJBw1xg6 Bj7nu+NfQrqIPMhS4vOrgWSTJTNV6vpqiSFYFPCKcmR3kNJ2RomdMJBxQHMF8iQyiZ1AVyxaWhFD 590dOL0hinCJJxkMDlYh60xxJQlzVYcoDW9CG2yoj+abPDDXsqu20lb+4rPalJhGrXnyVhQ92+SU 3BdYN7mNzZPadLFOGcRloVPP4/muzJWOZ8NQ2leRpFFEVdG7qRJ0MckQhc0UI9fa0SSQR5ehPH9Z kMZAI+XmGLNwSDF2FGhPvv+YTHTWE0K6mOnFjsTAq+KEPQCpfQTqAh5gbE7hZEjgWeE9tGbH8o8e yvrRY573FYyNU1bAKmHrgFmlLsOn1QNqrOxqsLbaeVbYT+fsKSCB5SDs9+BCZHRxr3OH8LJAPeNf PpcoviTmp9BFTVTFOTPPKqwa0TqD5YzXTX8kX04yOX/xSlpPcZzHR6s/FEGmECfhNfXdmw3LASJ2 w9/7lj0uWsAlGyps1PHBwwA0JJJYURGD8h94+xLlso4yWY5zWbkuOCqJ3aLcAxnhTvdKXUW1dOjm ClyqIkK6AmcFww2s1xtQJyXUA5XCYB1soiSWIo+orwXJlkIgag+vDfrPpXQ8VrmWA+h6ULJDQqnX 0UNPVF1oDdKqlgAdELXfcxLrYU+V3SfLvmLxvZfGr6uCljWMQP6GRMS3MFCvjoYKw0uR8wEMkHoi CLVwTR9dKOYCw+RsCZs0QFoGYZWy3jXDy0TtsK+67e4LqANEk9LwBx+KAKsCEZQnIZfii6/0nkLM eXGuvCR8l3R0lGlEEjx7JuuLS0lXIbeFUBA0BnhW4E0BW0MISG4Yspzkinm1Bi5jjfd8fIuhmRmW Ipfhlt74KSNcrWQ8zeTLvC1xK6jWyZpTCF5Cb4o9M/U1bmcm+9n6ynUwDxHpxnI3W8qrl2N5+ujB STSHIghktVxoadJr1hQ2kUff1mieG7sUht1lNUzEvG0HA5VPLtayljtCUTHe6A06DAOZ+Wu3ZJEt 6fGEYJOj+BHlnhauUXYCfzmNrEouZZtXoe9j+ZZ0HUMdWUBbimISEkegD6PcH2UhKMlBTzQUVaO4 EuhKzefSdSBMIEPVKRk6vocD2evD3sWGrMD7wGneeV1Ze0fR0LBXXnsYftVBaQoMv8dn+07G5ZV8 +cVKvl7kFO2zUAUPLURvyAZCnx7g9GgIuoOeVtQPwqvB3ELkh+VAOJWFShSDjgBtKwLleHgpr0DK V9cis5nWB7Zb7A4tBfoaxuoppGgowRSlBIORrPtDdrcBXoYwEIXJ8KqgawVPCzWYFmYBM0I0QOzf NZPQchzllZlgHz2byrCgqUMpPRbw3mOgX+Knf5T5b/+7LNvwrnSd2AfdF1Vxxu/Ie8+8K+CBFrq2 4lImhcj4xa08uRtLgIzhkREmiUY290AqdlJOHqfSf/22x/711rwtfz/q346HiSoaaPJHbbgomgXs DVpydzuV9hNj1anwHmn2zvBQU5ntpYVtqHWTmHCqFko6PqvidVLCjQO5k9rwYSItsqS15AYpStL6 JZM4bmsHZ+m4UgN4UPDqYokDhIVqmBjq0XuqJWbqk73vdPmu7Gb2Y/Nk7s98JOwwva6MVt1E4vjF 3S4XskGMIyhotL5t7St/TM8uJPj8uaQpjDK8aQ1lhv1QHl4EZLtjUsGWAPtBqMgrHpTUyjIJZXo3 WSmt1Yp9/8rFQktnPnxP5GxIdYGi1ZZo0NeynbuxZgNxbw0Gmr5G04lbx7nDOb68kCJp0Y/OoMkF rXUnX2weH5VDvbJR5pqxL9hnPgDRQMV7nLqQ0bKgDNFQDuY4gCcNYJDXN/LFJ5/J764zkQfIXKsn h/A5cqFg2/2o0dIqAuCA2BIbXmNHnWRR1G3J/NWNzL/8WvonGCwB9AIM8tTSHIDtrtC7CUD3lrR3 5W2MzXX7Tk1dorZvAP8GqR0MgG7rTBn4+AeU9yKAtxPRoMC4wFgxc+SYqmCpI9tnQnzopsM+NGgF Rj12LX5m5jAA+rQiLSIJIfyldWqh62FI4xf19SSG2v8MJxMSJNRD4jHkmm5GoSZQMWJbyGK4esaN 42zONjQNK94+xB9pGqpbpT0GVTH0+AX1sbZt2Q28bqEHHJji8h2NxVzWn3wi0a3IanQuiKJxDVut UD56Gsp7T0OSKxGl4frAWFhYhdHvB5KsSjkbaviDvr1YCLgVfe9Bj15U0epok1N458OhBBfn6mkB cmj3XHOIDpMA1LpCP0FoZvWGlJKm+icpDBry6X7UWBQ8KCODaoMJVVvQsjENW62Y2wmbKvvdMeDT pC3z0eksdhjj609+L7/54508P39KPphSgtSrwrmwCgEYKJNbMo9LOW7OYNK4IS8RSDqeynw8k/6J mcIUjWDjWOIzLXc6NJoqQbbf/ya8q+2h9/4mFGKUKKthNOgJJTlakQC2otJtYquIXq8yyVZLSXOw 3tWr0gMA6K6+NGgIwK3gF2nltBYgK3NcixxhEeGJKeaFnaj7DKorXre+JpfLca4gT5OEsayyVMp1 qLpa1MHCSUUDxgVxKRrPjZPMf4+cpmaQfdP7scLuw7F3xfTfyppsY1FaeL0Pn1IDC2NVl51/y6Ms Gc78ehrLTasjgySUUV/PAXGpCjgOKDmDSQg+qGXi4EHg8iE0BAuepw5VDXDF4DF12gqaQ7oYN9oS ErhoKxyKgK3O1FSsRi0vJAdlAVUIqCk8H/GuWRUJs3mLhWpUISQE94vcKVcbSI/KKYLa+6Yaiga8 uK9MaQNnvaChgEJDvRzqOGOUBR0Z+bqQfLmU9R8+k3/95Av5rPeYfr6xCVmLGanxpgRPu6bdcL5E yLbWxlMzYWXtKYaa5FIQ+XAypkR3pm5X44wTGquSPOsl5PeHad8cPOED61Z2U1elaH9S8CZV7VRF C+oSIN3zGG4XhbpCuFvwcKxD8qYmO1v6EM9ZU/NbVR60QFJPiCp7EvvyNsT4ExSFHdVNj1oA2wrd eN7EubSjjmRrrAekMS2pUF5YTbKsDsSlrJvp/qdl83Qdhw2HhoYxw0IFzR0ZdUumY982/FHhYgWy pN8RfnV9Lb/9w0tZnQ2kyxpS9UxsMgFUZ+8954UghIFtURdewwsYh5GTnYEXhvCrdT7SmtAXr6BL w/OyXIXS6o0oRRNmwD7RmTkC8EUiKDZCnpBEsr54qP0FyJXSCY1EoutKX3lS9Lgc30rljGtqA4ad fixHloRToGCGFvwr5AXYUVyktV7J2ez2oKFAFvP2q2u5/uQzkkT/Je1I2XXeurMxDKdBEIVddl6V GSN4VvjhcqhpJPKihp7oMSCQVksK1Eoi+3eCqmkII4vzeQIdQqs83Kw4QlN4G1hWE0/rIM0B4SHK plzyw5J7qoOVV9g5+xIiDDRtGxA2U6fjXnsTuEFVTgIragW9euNGNnWqoD7grdhXvIf/VL+GMcKO Up6ChcC5BFEuJW4+ZlS0Lf32wdul2G9sDhurY6UF29/39/3YBdVjNu9r8zOtgQSLv+YKfasjz2X+ n/6z3BVdOR+pwB4VOZl9Erk615AGMi3wnjBY6pI5PpHXeStBY1NXXZQDfgrgEi05icrxlGB7FBQy zRK5iFIpl0sJ8DlWADIoBstxlhLE0EOLuR7QKbBNbAMda2iYSPRUrhgMF2gMrB9Ek1OGgzWHyE45 Hnho7475zJZ1+D6+AyKp4zXki6VMP72T1qMrSR4/pMKEP5gVv76TL3/x3+XXv/1CVpDUGV5UndBN dwvJCXhWSF5QrcekvslvVNVTK3lCogLkfrs/sC/zbkdS4LxoKnuCwSqg5DoZS7hKJfIbyTaMig7q M4DunT06/WbdN6/2bRNeVSvsq5S5K4CulIpdd2mG3UYYQ6eckqRMNTLmZRktAbLEGtrtpvdRNM3G imSU1zumYHy8AbLt7rDC9koGdV2lwclC6wBcdNyYWSiDlpXznJ5VO0Ri2zRWh9ezL4txfPub36+9 QTXCLEj9DnhYYZrK759PZHXRZ1+6s14gjx+o1fn861xGg1Dee4KKBTUaGMRcHBaOcBDeFzAayFZt kNQRIGkaTI3GeCLt8wuZLgMpQUVHQTMWbDNesnhOgus7idGQon8mk7xVeXUVVUE1/uow0EnJ2Bkl cE2NsVq4j3sDD5FYqfOyXDsvXxPrZdiV//tlJj/53/5fefh3P5fLj55JByQ07CO8tOlcPv/NZ/Lb z67l5eUTZbF7ygeUjIEqTgc/isfahwbsmzeoGHMpUYGMvO43uWzAcLs9GUdt1jWe0po1gg4+VU2O L4ukBh6QKpC56/W8GZa1acia5vk+eGTjfar+6MkD7UN5l1aKp8vGcGcpzAc5Uncyja4Pw2GMBerZ QETLC8mouoCWVFzAbdPzhFCIDFAeZaqwoE0nRbM1uatTdOukpxVJEebajYelH+B41dvfzGbUIeGp jNzdE2Yh5OZoWsWx1fo4VxOTF2KAU1ScoGyIGc9vd4D3NHp2LslVImEnIE4ELOrhZSBng0i++LqU 67uCE5zcIRLPHYDsjAIO6WIEFrdOSDYmxY3WbmkTgYeX7FoDMH1ZxNoGnoB3wNgyb0EHC3FRqK28 QCRFhnG5kCjGvaKZWGtDaGfQ6AmGCQFfqzN+taIbfitJVN+jZ+O8SLt+1T0YBHLTHcl/Ks5k8Muv 5Gd/eiEf//ipnD99QKNw97s/yu9/+xd50b2gcdaaRF0HcVkUVic1q117HjoPDvvsOu+oM1B76PS0 Yj2HkOvhvTGeSDGdijw6ngQok4TOQrDOXDu0/XcSPkHIvpuwehtj/wrvxTN01ClYHzXuykxQqSn9 LAYSDx4UDAsVAnFhmfELqKlsJFC29XLazm7tqiJIbEmzf4XXhRlcKd7YWGuAsKDW1tnWrGK/QmJn Wg5kB6leGzKNCFla2pPN4zL5J6upxMY3Gk0n0vZj/4nW9W/H3c1f2XzK7NsuxiovZFbEsgYxUr79 Ubbacv7sEkpi7K8I/Od2XMrTB2g4oX+/uAGFAfQG1W+PqY8F/EhlhBH20FA5z4F6WEUpaSeRztlI wjiSYnQuyyKR2wkyZyJROpcyX0vZvZA0InJG3CKCq6FPTnpbwFK7beCFGkJpragpn7rmtQ7DUq0r zQoaz0qVU11PQTc/YVARsmHAO8IPnceqY5Res4kk8g83pfzpP38qf3P5mXQuzuQPX4zlj/GInhXZ F+RTuQekqwCAl4pO2QiZzYBy0tVS9Hz40jNzx6NlT5olJIcNhdmrXNKsoEbZ0RGBHlRIlGWkxxxT H4UrsFHJd2/saj8u3LQe/4Hd5Mntfk9VuMBGsDmOEDEsA2nH7bovIVcMidteT7JVLq2Odq2AADq1 blxJDCWNfTzKgWTo0YeYs9J796wjW2wJMofsN9MYXmn4iDpA13KeFakdEQAAIABJREFULX6UKc91 4kbM17IoYmlF+pSqWiQ7rXefzrHPJT0+akN4+KmwL/N3vF4Kv2YAjtn77bsry0nOzuXV5zcyXhTS 7aiuObShrCMya/QMd8kDWYJeEgbM1uGZBEMAjAsTFI0dAJCzABodrbsDSfo9maeBXI81jESoVLYG JIzCYOYr1d9iT8NVKgEapPb7UvbBcEaoiAmtSqEY5Es5RVQaI2pflbRzBLZhBFznbJtSmrVzxos9 Nh34DSPBWy0AEYN1ahhaOqNdi74KB/J/XK8l/noqZacrCawU9JhC50npM5rbhvFGhhXnDliaRf62 X1y347fhXNj+w8ibY6QhK0q2UFZ5YkiW59JG2hGe6imL04nQRMB94Y37jqb50/xe/Rn2hfaCHE3H 83QhfkuJMnhwQtu8R1cXZPdslbHMoADoxY7G4Glp1wrwJGoMSSupi3zBdl98UjktJRoayqy2mUeG lwRAXmWJFRPz8R3bscorqW46VXEo8HhHKUcRSFq4E+5E73hjMoTcb6COA+SO+dGwnD157TPTYj/+ tGjy6jS9DJUGtBr7jvKDHJ2LC1l9eus091VK+MsXWjoF2WB6AACyMy2HgRdxcaa1yqNhyM+ev1Ra xnCgfRq7Xc3udVqQGkbnGvWAHlzqQyZPNA2PUAkYGIinuDtgrKjOiYYjOXwuFdGDYcT+YZtgRCAE tHNvxFGd7OrZYFD2EdeMlyugN0SPjN6gyiXjPRieNeWT1YvDMmS/e9UQoAoULX1IWrkNyZ+OAMoe lYnSF/AVSNYYVkayqCOTUgLG4WlmoPAOjhEGGSElQ28YzMmdhONxveCBUcymzF6yO9EJAoBAmLfv 8OOJp+0RHJlDTXPDSKL7e0JoNFa6qMpXPca1dG3x0OYrS2FOUB4RSFh2ZZWmEvdA8lOrgS8jbHQR ttdM0eFazithA1S3Ibr5Dsxn1q8EoJ9LCi8MfQWl47Tcd2n5NvA9ZCP5WaT1FwxTC5A3Ve9W+xiq 25/TndxzircyjKeM7dDShmmx+yqnx4yX/32cePZF/Abqt+4zyquH8r3iV3LbbUsRBVRmWBstAFQE COGlmn73O1xrJ+iSYnjwcEA3uJtoITQiO4RqSxgrdK6ZlvL0UUhjAsFRTG7TXDfNNPCtkJWDlwNj AkNEFvhajSSJnqJGgV19TKKFHovee/AOmRSg94JoQXErSxTgtiwM/HaZROwLHnJumlUMefOaKs/H mq46b62H+kA0tYBn6f6mcGAG3TAA4R4Y7/ZV+57osZtHaNlFn7GPn3mnJ3McA8QLHejffAFLyScT EkfRDu0+flITfHLkG0fDwH1QCT0kXFvwwNj6b+cwai/L2Q2wFvzPKcJAqpRIXKTKSi/WAbWu7+7u pHt5rhIvfB6qIiEG+FrKh1DzpS3gocUeKVs+1Myi6eqYUYEHhMJnA9TZr8b1JVNBv+0DV9+p8moc T4jfR8VwrMxXduiAqmmGQtku9boPn/Rm6sLuhdvOhG7G9kZL8PlYx8b9U8jf7MBk/TBYyD+gU0zc kfEcWUH1XEAdsOwtvBp6R84rQpgGgB6Hg9/K2FZSp1GBpvNCrm81a4abNV0hq+gKlKmSUIPfxFTw EEQJDsBnd69SrNSFA+BdcfvLusUYvJJuB6lWJ0jqwiowx3FfYL3GIdNeg3VmcUVsSY9vMx3iZXbt xwvt4DkBiyOJFqJ8EA1cwrBriYnVMyqFwjLsSoqujreKLMwLrMNBGOi835c1VC7Gd1I+fLT/Aqap tOGx9AdSoCP2Pcch5vvug/34vdvEnrfXNlfgaOw2ctlct7IF3Lqs/hN9GOOV9DoDiYfDoSzyO2lH A1nkgXRRsKprUoQePQspFaYCfXV2zxUfOwYq1D7NqyKI7gwaagYrYbBKntg1YYWhQPvqLXdxO6tm Yag1cMQTlI1VqSkFgC6Szk6TiM1xzLk6hYdlA/I49uSoYLstCsXGWrwLCJAbJl7JS9/tCH78Ewn+ 9/8q2YPHIr2EBolSwxS6K6UHeSoXbqmIn+phEYdxRcem8QT8i0XGhSo5YOIiswj2+eLaYU09xX5I EMy1LrCAsB0A+qQnca4eFCYugHSEl/gekgLKlFAXqCokDgJJKdtSqkigC23JCSOdQY2VZhbr3yiu gPdoZTobORzxPKuK1qPLMvwDgx2wUax4FZuxOr0rfA4vjEbL3Y6Kt9bgvuPdVsMSBzDArQT6+SLB dCzFZCpywGCtpxMp8pxF0G/bW38d4ugh7BZGqihCSqbz3HpqFD4gjwax1HAvVHkW0RRxQ0BUhX4X DS+kFaDVVyxxDm0ddD5BUWVGIwSlBSp9Oo+oBsk1HEMPMYjm5Z7qKMJI4l3OsOBxRwXSsKP8LhhP ZgVzCUvNSPoTnj0A6c47r8yB+AhBGaKCbY8DgP6WoLW14lh+5ffuyfTf26ZG7Jzqne83X8TNUPaQ i83K83VOwB1Yzbvgca0/+Fh+XP6fclc8kGydyCwtqdOOUIuNJ7qacjedJxyqSrpQ2oopfBgRGDF4 ZsgiwrjAKFEja10KMvQ4Q5jQbJ5jdaO4J8hCD9gqDFH+wnlKcBjOBgE74uCH1ITCyJhY1oWCbnmf yKr3qALpFsiYobAzzuoXK4txbeg9Zo7ug/OQzDiy6zWyeU7ieLKAx6DGleeI8sd63AT2XRWShYD+ nWPVN8oxU7kccNqG3UAm3UDm80QmEgk0NxtHiUTFSgLoiqEO8zWu/b3oBq+xPn++mDIxDBfgFAzY DIWCMMeLak7jG6i6Qef4ECRSVzIXRwgVoZcH3Rn0rad4Xsnq7zKL2cGZegvlgiuEYSI3xtX+YQA1 Mk0s866UtZsyzIyJVaFrjiL81uCC9HtiE4BcUZCBwN9DI10YStYr21q3K0NF4b8CwsIgzXWkBUFA ZwxQtNtwKrdO7Nt5IGGiEY+iLI6e1H30CX16oEM2zgpa0X/33hUGvNreT38kwZdrmc5zdpdBswRM HgOMTVbYOHrQy6KSBierUgoQsmFAMqXdKuX7T1RTbYG2gh7th/LFBYqr9T14Iqa5jnXoZOfTTLvf uJpFstpd2KWYleuRSGUQxZZQI2jNXrVdn+4nfzsFEevKxCPx+Fy2jpqo4GRhXIgHg4RzguXQaBXr p45VuzbqvowMPC4TDTQSq85Z3Q8SOK2nk9PpUgBfSI9YT1es7d07VmDwIXPSIdv99LEZ9r1+Nn13 7Lv3dY5oMkexuoBGi/L9jFJYIyN5iEoHV++pBCvXzk8jMJb9MXHnd3MNQ+lQg53mRdPUaCPvUr/w kGCYVBZGmyeqCoOW96h2uit8duJ9CNtg6AimsTsHXDtlsFpxIzG0Mnea7tr5BssRI0IDoRBlQVhf IinUJCKUIWCdMLYqf6Isk/uf2Nd90uBc6cWA1vRmpnN7YDn6ixHOLRIQ3z5ZdN/I/u5/lLP/9f+S z7NYWt2Ek1B1+xXfAZiMsA4TE5MRk4s3lWtOCi9l2MP11DuSzPdQM4qLjgLyxkeylvEWHmFYEbPK 9DqPJYEBKmSFAmuW5CDk1OlmyqLmoVjJTUUUXW8aA6sf9JsE+3OyVnFQD44qomieGom0nZdkmWFg VbjXALb321BkDWQIHTA273A1lTSyBtzr3MI+OSfDIamuK7ULU/Ems4WhasCvMhRPQsiyeRTTiayz TMIzzIvT7iR6uTDgWzSC7fEmdYTbOJgaKoDt0YZKynKJfhDamAaJqwLNl8ECQHmgozSxLWDYJbPA 2pChjrkyWFrQCp9pSXJgEsRoC02lBA31jM6AFeZVA4kS+lbijE+ADWEHQBR1DRGhLOqKpK2HYYvk UOBbmWSwrM6o4SC0qavuolVuE/uiZA3u/ES6VEKtT7A9Je9/onezFv752C432B64EPDsYJAOt7DH 7geyWIeSwVi9A+GgjaTXkycPh/KvXyuWQs/HMdxzEDfdpGdCFJjRSr0BLDvsiTw8D6mZZdk9nCaA 4yBqA2zGZNWavaopzgahkkC0a3JaZcuIc2AC41y5QmU+G13TCG8drNFzPC2CtF5pjv2uO0GrofCH XQoaD+qxA/6oQXJ7GCERgWOBQYW3NegH7CIEo0VagjPG1p2H4Sa9voA59ooqQV6b7ouVB2ELWDdm FLmNQUg+VlMxdgC4ZLmkymjQ7Z0eDha59BM4Hc0Zv33Z+uaxb5lNhV+QyLfXqYkq1Ziz7TKKCruS oyM88IGgdMaqVS2DpF6WL0CQ3WSM9/oQ+U9lucgJfvUHA8nyGZ00FiQG8G4UULfCZXhb9NBAM1Aq XmXAKmvrjBV2Ahc0ZVX2pg67uoJamZ1AYwthqAP1oSCJydOPwx2X1rJ2moWI3zgEtKfj5nvNnUNM eUHvrf1GCzdnWqD70LvjXWHgmg1++kO5ePEbuSnbkhd4GtaSwxRrXCkYrtlDxa6QUQaoXumTb2TT gEMoFwvfZ7MKGK61GhgYHThyCPOsWYTCTwoJaPo/qjpNW3kOMDHf4PBGBokV3gpwLi/8siJnl2za qC+0UXMBXfYQRskdA0I6eJEIUQ2/I7ZHcF09zqsLGCyVbobnZ6x8qjM4Q4fEghnXijDq1UFW++I8 RHyfyYIFGqWmJK1uLLeYM8RFOHhKtxxddymJ5OwrebCF8BuqNDSV3vnvaQMapQPRdtADU0UGpZgE UvCBgW7SfubTJW0g6LltsDDhh6NYOlkmt+MFnzitjtb2qOQDTAoqqWuymHJqnLyu2z8zYKoUGhPX ghVFIWOG3oF4rDpcBNEEwj5iCcww4qZRBVMD3nHz2OluIoViX0guawzLNk/kMQ/Hv2aHlid2R2E/ vRjb5Tj+fi4gjYK6y3cEv/LH4Okj+WH8j/Ir1DaW0dZkVz4WXiOljwkKAJqlOa7VOwwX5k4MYh+8 DUcz493hGTObrJA3LrsBFUTBkqdXokRyGinMdQDRAPMx4U2n3U4nZVpczGceNgYNkwu16MF4KIF5 dk3D3reMJ2sSHbBPljWJomC41+J88KwuzkKGfyhlAmmUSa7QAfRODplYlsPXaBDcfaGJDJPzqflk /AvdspdzEkhz32CVpeSzGQ8G2cGTGFQArGUt50mO7myNn9/f4z+UtGqmNsCZMIdiW5pp4wEkgJ38 LKKGlfk6l/FkqlzLzdofveAIcVA9vxhPpdM9cz0JVXQPBqc2TP7BazmNHZJJJ2vb+drLMrKekko1 G0jD5fAqq1EEIgavLiORrM0C6b2n0O37tpd1qF5q27gcvnDN3+HN50D3JqOl30EGDHpP756xwkDF /8UP3pPwd7cyTjUutOwWQ0LnIYDhDZzJMluYrDBgIJIiVKImmgPb4V1V8uyuJEU9IZcRXNYRj3lG MGA0ghG029UYWjdnUCawP9gmgH9rJ8/w0BlC1cjSsJEG13lWqPzXMrNmo2UYlqoF1KUyaqgUn4IR Ap0BvxkKgt1P2WYlxYKCgUG2OvdLsTDfk/INo2pkqdHHNEDm05II615f1vMZte839jPPJYZV60HJ tXMwHKQLUaK93VrOo1zOkLk9IEes+3ead1XPoZqjcSiSUQ25TWPVlHm37vP2ysfBbu8mMplMagxr 0yKCjgA3rJA4Af7k2nZxCXcn7Elh6lNZdeKFeE3svCSRtISiYIti8mGQVYqkur1Um0twfaq7hZIf GCvqYYFdjf5kLGnZPTPK41KD9TpPjcOFoHXc37Ru9bTCStxPva5NA2c94d4h+GpjnH38vpz97qU8 RwGhozFgwgIExi6jfg4Tq25GqiUlIFCCDa9hXyDjRSnzROTljXKpjBZAwb+Vgsum7qAs9lrqxbAd GCl4dRTqY7ZQ7z0z98ansv6s+BxGikJ+njCf73XRHjkBvQpPcstgIuMZZ6Epi6OpHKo1kADYgVtR p70lLEXCa+wbSpQsFLQfKuY4pnvd1NVjz5P2oJ4lPUJ3PJYkZ5s7GG4A/N41KhZaPB4kTgO/YWiI VbL2jsYqKaRn9bf3uuf3j01js+1tbb7GfFSWe22stre/uc36+0aHwK/lMpU4TjarWYxeD4u2WBUS ZmtpdwB8a0kMVoVan1rrp8aRtERGa/80wwjJmoCYDSJoGiY2DoUHhc226fqh9zE2yqan8KTItwIm pnxoZNTYsCEEhrZmWQsAuO2Th6HZHEubRo0nBicQBmUf3rSLU9n724Z50yCpzrviaLteFs4IEhI4 ptNwh297BBeX8t5VV/4AtJda/poxw29kzDTZorwrbdaiEMDdRNn+UHWgOi08HBJM9dwhlLLkBoB0 n0luz72qEJhdmnUbVemOY6v7OBB5WaxdVQ+l0nz3VEgNNDfKAvAnA+LNMJmhZKNTeIBuArLsBiFg S7OAShTV7CUMNN5nBh1F7Eg0uPbvdOwdyF8Ci3HsdwwYVB6P66QNz41F5MC/YMTpB7i0VlnKy7An Z1FXqi6F8Dbmcyq1BvtKdgqUzuXSCQvpR4X0YRS/IVJpE567PWrMCrLozQZvw8PayC7qPWBQz6NH D2U8vlMMy6c1cENFKbP5Ui46ben2VdaBKUd6CuoZGTUBdihla3uWIKvglpNNtqwifrdCPckI8zKk MFlrE3hYFXbOWPX0ySQJQypBYNvcluNnEcxvCK/MUNzcvOLBnZ2dyXQ6k6urKx7DeDyW5XIhg8FA utDDdtQEw6LA+t9uUnGoLGH7iaRZQ3ga6w2jiOVaMN3IiqKJBbqdQJETdZHwyFod9mVsGuvlTCJc 8Oj+5Rf3GTjK7/3gqTz56vfyAuA7ZD6Y6MBNr7O/mvAAzwOVpZmB9Ngxb8farWlLLiNwgmSqXWJq qh24WAgrEVLxQeK8IE5Mkxw2D8kZAdwBlLFx2BSWMVlklbep4y4zWOxi43oC2v7rNakpDbx2zghj 0LOkVwWuVU1ZgIdlWUBVYK3Lhuxz7DA8PPWiTC45kHxe1p4e9scrjDZHxbww1jzOFlIgtrYBCZk8 17rLFup2d0cia7mKcxm6OslD0cG2oTh17Htgbw9LgiEb2FQNopFQjd/5IaXxtuw6dVArWZZycXG+ GRLWzNRSijST7tVZddBko4K1biGQwNDgFOGCFdKK0DkHhgsSp04UyCH/+j+Y8WjlpfIxAloDn9jW QgxMeHAv7LbROkYGmK7gmstZneIeAhxugq++ei5///d/L++9975MpxN5/PgxDdNkMpbZbCa9Xo8G C4ZrtUICoOAyIs9kBI3xAxer6Xz5FxCuLwyWj2cpiVFkObmTly9fSrvbk+V0TOngxWIpo4fPJOn2 dYLCk4VOVqie5c2Xf5bucCTt3kAyGMI4kfVqJf3zS4nbr9dAc99ovfd9+Tj9B3kVPZQy1u1rmK2G J6V3oMdiREqV+tUJzRCJEsYB8SfgTuDKIcTDQPgEQ0ZuFOCAArLvJTNvQANc1yvXTGIzs0aPyzTW 3HtsOw9eFrTnnefl2hGqYQC3CwkA5+mot6YT2OgTvN8tRHRYGnXZXYkNjE3NsNcWmsTLyOp34aDT xLIWXhHwKKcyyjIm5835k9JqHE2QkPdzFbWI5POF5LdjjaNbLcknYxqtcHjWGA4GZS79qJQeKSm+ kXpzGGJfhnxf+Ij3EeWAZ8Xz6zgn6jEBujEyqZ5fPe9KLie2RwHH3WPE3Iq3a+B4wopSBh3rboMS CCWFKnjuyhpgaASyq5n0ohYFtkDqrGgI7JqjWBayhEoUrauwmfMLoK9FQVRnhEI+nYxdqJlGp9cF QN4pl/onpuH00hB1Ol16U71eX7766mvNQCTKzIfXNZ+j31khq1Um3W5H2u22LBYLGqxjF+Pwxa1L EKzWEOvLykDGd3fy2Sf/LEkcS5YupYOmtfO5fP35nySKW3ytfK6AXY9h6F49/0L6gyE9NrYYi6F5 vpYf/e2/l+TBUyqWvq1RJi35wfdH8rvPl3LH0F3LUJChRdZr5SYZsmW8/oGC7oO+6rlz8oba7BSG TLOCOnngbRhPC/iNeRsaDpl8i2FOMATqrWGw+YTrM0hYgniVluao0dB9xNAQrGafq2EKPAa8SRrX 5UZVnaELFZW8qiGg6Vdh35HVM8a80TGAabHLc0c9MXKwYEwdBUMTEMrM9yHRHYqVxyHDuO2N5HqS ytPrW4nQ3xFdh1otCUBn2L7nylwGYSbn5Fnp8df3Y3C0hObofbHnntd5UuyIFWhGEFBBHdqrwcIx q/cE4+NDJ/V+7d8W6wrthQFc3OBqLaHTFKG1dIJa+qSwCve1dKNY+gDTHC4D2im8J2QENk8KPKe2 t2PUb6BR0yyhE/iw1lgVSOaq+fkePA81ktZU1R/UmUpTekyXl1fyH/7Df+Df2A+832q1+BouKoow SZJ13tDV1aULEWEUfC0ePaH7yg52T+jOUtWyCKtaSSTnaLs+n0kXveTgZ0SxvHzxtbTbHQnLgWaJ 1mtZMWTUOxus5tl0wn0vFgAw8Sg/jdl/39H+q5/I8LN/lLukJ1kRUu0RA741DAPBd2KarrmCm6BU K4iEeA9F7AIDsnXZLuNK7XIM3SwF6Uv2rFDIAfePo9Y4r8ZKeTCREX4CBIeHhL8BZlMYEIQueGuV 6imvhuJNrgQIV4EyLrJZzK14GPAmNV4WssLYsR7Sleeo0oNeS2xbMTmUEqmahYWXxNlcKIg7lkaV Rdy1IfI9nhykL/O+PA9PFR5CmV6PZXo7ldHZQELcBxEqRyhOVI0QKr3FUkbIZu7hZe2LBuzvY/fu 9fW1DIdnnDfWOQr34mqVys3NDR2Efr/Ph78S0BNX4Kwwk60/rnWKdrZ/Soae6/APylYA76CFbr3O yzFAnIqFNBmQiUVJylrisK+NENlwtatFjDJ3CFYtUmdSyKapoZSFjHQJAPqoKbT9UI/KcVYqUVcN SQvUL5qEzVaBJdKed3djefTokbz//gc8wTBUCr42Gx0tm9mNn+1JWrPhN1O421kRJQzWGl8+Hw2G Ml/OpdvryQc/+xtZEbhxxNuilCcfLaXd7fIiT8d3XI92ms6k3x8Q88JGWbKAkDDLpD04/0ZSjvmj R1KE8IYtINcsHOaWESwxCaHqAED61V0h2Tqkp2FNS2Ecbifau/LBObwn5z2va3UL8KsQQhLj8VJY OvHVkzJw3bpK456gugExIhXTM6yK+259Bs1wuPCVnh7rZDXUg/dkkjmRhfI0PPq38adYnsTmF2pw rLyIIp9x7RXCS8Qxs7cGwXQ1VigS9z0r/xln4alhVvguoj/LcOK8jGepzG4nMjxry92r57KKA+mH hUTo2rNc0NPux8hKFzJuxZJ1u7xfjEV+6tgXqVim7tNPP5XR6Jz35e3tbRWNIDL57W9/Kx988EGF F8MJ+OlPfypt3BAn8PC3WQrHBg3WJiaDVPK6smQZutjk0FnW2gOEBuZjWWfj7Y1pKU5SFzdTnWDz xMDgtNCJB5SJEh4cuFeOm+W66MATY/sv53biPRg9q1PcxpTgJWG0WkklY4En6iHiZ1O2cPsJpG5t sWGsmlKxGgLa3+Yqi4zHE3n+4qWU58+ke/FI+pcNxtP9Hj09fMH8rZ7GmrnfKLo9abtaGU4mjyJg Anx4YMBwLJznkK0L6XfBx1LNrK9vtWknU/R3Orm7AMAqw+56Dhal9HsaHmoHZ5c1Wylob7LIBORp RNSrwcRWPfnSZTCVi6WYk6v/c8bVLi+/78JRA84V6zKvzgra69Zs+MTnUmnmtOZtcTskzOp5waDB dBUBFuHY7Wdk2uq1C3VxHHBOVG9MjTEWmaGDzlcvJeooF2l8dyvTyTUjmOV8Rm+r12nJuNult9Pt 9mgsEGHY8Od1fRTbnx0eNze3xF5hlP7whz/Ij370I/nNb34jT5485r395ZfP+bk9qH/84x9JWarB OsUQNS+yyfOyfa88LB/1b7UTWaYrSaKECgNQFwAgHjH+VFTK9XHeOXgC42yuoPEt0ClQHWpJNHMB AaCj1siB05CLRC1iGFfGDmEfQ0xBVx1nrNy2t4FvptaHQ/7UBkNJawS9T2wvb8fi/+3bNB/o98+Z eWsWWtdAon4OgLxgl5jDhuabMEL3He22ZnYosmGehefF6OQsKaV8PtBsIkOkSOR2WpAA+r1Hob6e uEJqr5YQIDlwLjamQOhnKqOOh4XMI7wxDC2zUazI6ARYh6qMKi/KsCi/PlE9tJr3hDtn7YyZ6WAZ A51AuWsGAchDqRFKTjWvS5evwXoFh91ko/KAA+qrvo3qPUOvi92HtjhgPJdIMLlaSoaP8GRxDsjU F1m2unL9xV8k7RVy9dc/kOzFSia31+SNPRgNiXnCm8L9dXurmKkWe/v9MLcfrpsZuX2GC/cxElRY /4MHD1wBcyB/8zd/I8+ePaMnhwjg8eMnXN9wqLhxnmcKWZycffQZc/s+q0eFYfFjZzw63Y7cXE8k abUlDiLpxSjaZXpPtWrQQMEpkh4C8djAotTWXJsn0U+tOmkaVtyjaFoNlo1W1PVwrSai2WY4u8mL ArkPxDUt2Db6wpuOGhyskxXmrdXhohJYcZFxMdv9AWv1Fm8jbfMNj2E3Foh0WE2c8ZlMjdT68EE7 yxIL1sL+65uCRky1z0FdKPge8EfrtIMWYvjd74QMm5AVRNMLNkNFhpCqCwrSKilTAXgYNcveWTdl lgVZhrG697Xu1DdgxKR8fhb+4+ca+5oxshCNmTovA2hSMzCyeG0KoVgAyQClMKgBxUDUX1EYXF9E bAd4mBlJaxdmRdz2MEMCwwi24+uJzGZtuWgH8pOPP5CyeI8OgYLWOsfwO02XfA9JJsVha1qDTxHA MH6TEZ6bqDuAU77++qUMh335+c9/XlWP2IN6NLqoE2NwZixZVD3ED99j9yN3157WBuhuBgRV9hDz g1eVoBchLgo1q6D4B0xok21+yK3ctt6NPBBKSaiQn/+ZYll6Qbbf3+aBNO2DZQb9WiZNnR4D+fYf i22r5pDUn+kTTg2VHxJi2W4SSVZAEwvl4e9miY4NNBHNngfkEbLHAAAgAElEQVQSOt5RXcfn2rJB 0M4VPiMs7JqHCe/JGRUahlCLhF/caIV+eBmSxvDytpTLoSqTwpNAFg0Gy8IwS3UrgVQ9K61v9PBC 8/gQsjpjYHpUJgdjpUJWIwgSpTWrqD0rl592hlkzjhZi1o0nAAuBfArDhx/UQALLUhpEIL0ElJ1C u+vQ+KmCBZMLLsw1PG6be8X9cUkDFnu7MBzH0g0KGUQiZ8MehQn8SKGes0LQux7+vb2pA4ZRnx+N CPZBJ4NB3xmq2j5UjHyPxrM5D/x9KI8aKZ+LdXi40H0T9KpvCC3O1JIciGhZNq+SSQ6OW8tDxmRz aMX2fUaTV3UIq8JFMYNi7cReZ/ih4DYRri6+Vhllu7kM2G8hbIL43bsQ9x0Y/UGHnY5wn5s0DAYb gToiJowDJJTvFioTDO8DhgeTg8xzlt6opLDWHpY0UPjB60Ua1JQEl1dRrXTdztLhWPC+SMJE3Z0n G7OtJBq5AmVm/9xkrzw0dwhYL4wNJZRdGFatx7S6SBNQbIoaWSR+qlGy7CLY7r2uctDCIpdemLEM hl+PO1KGoQy6Sv1Q9r9iY1w3+WHu4eYx7w141x6LFSlLzp9cycP3nxKfjavqDUfh2IgWaoxqPza1 iWNZgk1JnDpH7H4GsP7gAQjXu2RO3Nf7lUnsbPvbanYm/N/7h/99Mvf9cM1WEjK7li1KiSHxblbw yEQ7lT27a+B2Q7xDRu6QO9lsxXc9szcZ/nrsqWNPIFx0TOYmLswp5/BdGOdtJY0ag5uT2YUwtZ66 ejQgqFh7K5S2oKuMFiBraganAl4WPBJiUfBQAMJ36tBpMAjJKjf9c4DqpqFOGW7X2IHlX047i/BE 1UqrBtMrYNt12zG6gIV0xqvCPtIrdgvYtk3bynAuK8nBfqt9UM+qhdKXMpUkm0sEsT1yOjoo+yDx tx3GctZL6KlNIbDggwhemy9TxqhKjEzUTwIZruby7MPHcvmjDyShpS23rtRu4qd5NN90xKtbCR+o arSUKmNZcb/MDAaqiZbQPLb3pXaEmo1rcdK+kx60bWSYOscTYtiX8d1UBr1+Y1h3yLOxg9wuBfCX 3+Rf1FjYvu80bdc/kHoZ+97uiaPkL9LPTnDvvmHhLjBZF2ja+pq2a5tBmRHY7VWJ/js6gqtLKcPn LE2HVwKj47et19bqmtXCPEXrLxgQGCLN0Omy8LIGPTUQ8J7OQDDN6447eH/RUbAezHlxkxjeCAAC Eg9NnoY1jTXr3LAleD04lWZwjJBp2TyrtMBc206eKDbGVxX9QbORdSYRr3s9tDfT7yG8I3YW5NJe zSSYTpBF0KwAJtf1glpV8dWlBK1YVh01cMVEw001orV3ZSRYUkccU9+M6EU2lYvhuQSkGB28Yhuv 7vtQVvypBuwt/Mc8QQLmPrhvszOxm6H0lz8V1mXyatfr0CsPlYZ2py3LeSo9+LfeBuzL/u993pUZ D8PHmolitdt3Hy9ofyjavLy6sha33689V1NWkJpeZHHXrrRPuKu/r8cLALsf5rIsUCHwejjatzGK Bw8lDJ5XyptmNDDIfXLeBwzGgC3Wa8IjPAQYOLC+aXiSWgrG8FEQYvHggNekntVmqUyObJ0LPc37 sOaoANnF8J22AeU19cJCPLu85i3R2LosJdZJb8yKwJwxs0yj6nO5Fl2OSEojFpbSTcAEhMgk4lNr AuEWhLs4nVFYT4v/3YlCttxRGAxX06H7bVnSSkbZNX4lUOKyc2/mmgcHPtP1KpG6zoBrjwRUhliJ nEZeun/Fids4DgUd3rftdTsPy0/V116MkN4wG89psHxDY8vuFgo3GavNzOAhnGl7G/7yTezcJu/r 2NB93if0t71Pu/to2zdQ3Y/7m45newBAnee5TEHjOOliffsjHA5kVKQyhdhiXrHunNHVrCB03CE9 A5lkhDKWJcTkgrgdddk56dWa4UiVRFl3BwbjHd1wMCxaJjEzDiRlobsaSK0n5VJaG+iWMyfV+FTE rWi8FBE16oGFr6qO4MJK79LwlvDIplXHG0fFUPoCWnCV0sqWEqZLNjkNXEPBwG2kdCzRst1hY18o NIDiAWOEcBl4HDwpAvD0EGucjSVQnoYXCbJBLGErofFsHsEbXulmz0eTU/CeFXCvl60zjm9v7DZg ZabUS1DMyXNTkfYqJGwKx2jZj2BR22PbwDRN3G1j5C9XG6Pd9TfRGcxw1J/Z06h5v1VOudzRrdo/ Ni+S8a30Zm42Vtvnwh8IayD9sVyjn7YrDn/XRhjKR6uX8sv4kWTk1SkvCd7TFJiTK60xZjmZ4zQW QlXLZw9DZYiTV6W9AmH4glSzZiaxYqRK+6kaojr1UtgyZbzUXDhbdtODqusC4cXaslVzUhfqWWcb U4NAyEnvkAYXZS5qmJRFXzc4hedB5dAik3AxF4HMC4oEzS2ju9cV1ses1uQtropIZikayOrNAxuA xAMSDdZEw7rrEJD3gHfrjE3Csmui8Xad8bL5XedZYbu72T9zPPhqr7Frng+bUNDu3gQygeIGkhE0 VvqbBXlo/pGDgO4Mlu3o9gorTwcyEWtIohzGrfz17DNI/menjH10hm2MaxcfO5y5xNtWArJ/280n 1zd2p4R0Tcs0M1/erWHnCbV6TOfHyruy5gnIDOLBP57jM7TuUvwTeJZ6RSJRAbqChoegO2ByAtOC rAxOALwPw7II0DvcCK9haGA8mG7n2nz9bS+jZwbMw7Ys42figvBoqmUrQB79THQl1oKL3p3rM9hp ldKJC0niUgrId8MQQjbZdGPY5RWUilCCqM16HXhdazaPhSabHt8SP2nJfo6TecHsJ86dhp/wHPX4 TL2BnbFdbWWOMizowwH72utlycl40bEQDRUuaqwsDJWTukEfjlYO7zeM0O2qlJs1iu3RaEbL9hR7 tJC9ZmHuSCRvT36GhZO5dHotaTlW3H5gbVfYy1/vzs42eEzbeNopBm47DN1+r3mbh9fbbKxq/MuP 7W1f/d+bx10rD+A1VIhVn+IdNVtlKTd5Ir1BKOcjrR3N6BHgQ/VYGP2Eppgg0sogE4NwKqAWO7Ap a+KAot12WcrVKJDREDVyWvLDImZVFXHUBa0vNByKnZThYTnFCwzqu+f198zA2eViOOEwKrs8TLC5 4WvD+913YFRNvyo2gyVricDiDHMpIRHOFQN46yp25ZB+6FNp14pCijyUVRZQpQGtyW7GpXx9U8qr ccFsKsJEJCPonCHcdta6MlKmpQ9ibTeRflcJom9nBI33vUYN5lltY2bH5mB5wuv9zsp4VcirLJYc 1TBGUTmwtY0soX8AlsrsD3syny4kXWZOyTNma3EgoE090fwwzV+f//mhbZ4C7B8zSqcN5cL4T5JD w0JBVSXQUPLQ5jePX0MN9wFDQRPUeRdHNL6T5SqneN2go54WJItLFOOJal0Rj6HBcEoLAK5BaWC7 Ktdufq2el7UGgxeByQwsKGcTVT0n8IRANrXwiViTCzXN6zJqBUNHypZ4NX7OQzMsioaMNAv1rqxc xp7SGPba5I1ppCjWp58luM4witMU+rxU+QxYPwSdGY0Vy36fOBO3xxgYLe3g6oXkm93cFfLqDkTZ gkZ84XA+epPkuNV4mpU72f4lq6U8vgxlNOrSu3NHKvvHqZHLbkbRZMX9/oG7VKNN3G/7s8OjGaKZ ZoW8zBLJXTuvU8YG030bVLfP+oOepMsVBeSKvJBVpuqjuHAwXmCTG0XDB+T3WeZDAHkThcLW639+ DDs6HO5hZ/OjJFLbhqknKsGw6bh24/jN0Lr+jHViBNzfXVpD8vlf5FXvXDrrkIYJHCQqEhCL1fQ7 Bt7vuFYs+NuUONmIIjXgWrEYeBaYvKnXyh5eDYilMBSIsDQk031A8ZdJCMM59Znhps/uGopXhscK mK3axN4vnRjgxlx0Xl3ggevcl5bT1jJRPS30q106eBzot4euy1Ei60LxOpBB4TGt8oBs/vG0kOsx iLIFCbUIp9m2zDXToEzTMpWrIJOzUU+KdS4v57m8FPQ7EOkXmYyurqSNjrS6J/K2h97XWnOrpNQq +FYvGveqWxanDlEpeHcxCdHba/PL5w5j2zjft6tCbhA6s5Lm9GOL/Qm4ncKvrC0yhq1YWlBuw9Ns iYaHKvRHQ7ZaS6vTYpvzUygP+4zJPqDe96x8hu0+T6spo+i/1l6CpoS4f1g20C7qLru3Oc7fzrga rQFjAQzIe/0ujvDzv0gRdWUM1dAyJ4cKBckYxHeoFRXIk8tQrs4RAiqgzHQ8PSM7B9rKC++RKe7a eSH8gYFCA1ZwLWngViWVSxECAv+BpwPjZx6wj2cSL1PV4MoI0RvyipiNamFUAT909LEsPK60kBo/ UNwv6LER70bCIU4kQJKF7Z3RtxG98xTHgix4HcKFsspDmc7gWSl2B48Rnqnifgifa7mcVp7Ks0Eo P/ngsVw8voCkh/z6t1/K9HpK0P8yWMnZWUcixNZ65KKjCYrxx2n3lT2ENfOqXd4xVnkp0zyQ1FFv lL+vBGF6usgeuvO3udWSnaXboH54Uj3Vp25uLPNSxutA7jKoFUMA4X4P7h09LBvbk5PZNVhRlFv0 lKYMgwVjtcoymc6X0h5pPdN9w8F9wzcAu9ytzeW2P9vniW0nApr2yYxUfeybMjT3NTb+4qsCmY+G K/4OjT8XXZa6YOJQNWClIaC1cif/qhvI5SiQJw9CeXGjInUMdcA162qmDgYHkxZY1MMLLRyG9wLI Z4ni4FDDQhgeTYTo32x24aRmCJu6YmttZameV2XArGONU0Owh7wtw/ccTkXSsMsY+plGRro21fFA 45ecKBb0xDFTOx3JkzaznQwjvU4/Fi6ZNA6wOXhVs4Uev3by8bAzGKx0Ie9/9Ei+93c/kxAu5nQi /0OnJR/czSRf5fz8wWXPCwf3jfvfSADXbW4o4Rn3ZSnLXGS6jmRaxMx0+g9ad2oc5tY0h2Gw0DG+ lF6O+kckLTb3DnfIq1UgkwLuOIzV/fc93tyhPdk9ZkNU7dChBTrZkT3qJFQnXdxOedBQdvBDyu11 b6z32Ha3/m4KFw9RK7a3v/m+ZrVsX82bqtfhMtauJvDYOJRcqLen4UaNVLyb488hRAMXMoJ0jCuF McVN8oQKzR7CmEEmBoXLIHTCs8FN2OlA5VXDP4RBMGCPH2jmDIPLxiozg3o7OC+DthoxawyhhqUu 72HpT671e2ZoEIaqdHFthAxIt5IdftkCFQdsm7FCggD2AK3klcFDbr9L47qwBxFInEhOoUknPWP6 7F5PRbLWMxyz/uC8jHFueB5U374yWNA9S0q5HLiaHxiRblce/eT78sNsLvPrCZ2B8ycXW6FX4P29 n7qzbxiwjvNgiSPSBrJSJnlEQnMGHwYhX8P3FUPcT3VC+TfAouW6kAVqLPP1hn4eaTFFIsEb1PKe 9E3PRFRgs+/1RGEo7SSWxWIlnQGUh7yD3JJf3jZU9wHQD3lnp+Ba24Mdgt3TRpfRY9wu7jwl83g8 K6kDILVdwHd1TKZL7qcZCRgrSMUYRqSKo6UEyPahk/MCXpQyz02KRTOJNdalpXCoKVQvijyuXI0b HAzSElyvQfY/3Or27PoY0DvzdayMX2WYlRkuTRpthoIIY5UT4eoKnROlnoauYw3pB8o/oJnEWqIs o6GCXDQFkIA9+R4Z1VOVHIoO0MgKAnCfmFyOddH2PO32aimPHg3l7PuPrDCS4u+z2VhW6YIHd/5w JO1+Z7+xCg7h7JvGrI4YzKtCk5NApmuRaR7KAplNyps3G6r7DOJYYSTzMpRlHkqL5Ug60OtUXEet 1x0bAn6HuFXV7niLVEYLIvzdloynqZQDgIa73Wz2GatD3tA2LrTNv7J1NuFUx4ZuX11/VVWoQ8Tj ZLhNPOEYLmep838THCwwi8czibtdVVVwXpEaLJObUUKkNjANq2OCR4WaOzs+al51XYgYBGxWoQ8w bkgGA+004xgBDoy3jsp1j0Gua6v8kl4YGAcu/ON7TjKZmKtbrwHvuGRksKMo210P88xMpZS0Agsb cT/AOGWxNgRxpUf+ZWabsRQAeym3U5FXNwWxvFmq+BXrIh2vSjEz7bn4qFXIs+9fSfj4sRrW1UrC 2xt2Q8pbLWkN2hINeq6fQV2yVI9jRfT1F6yRKYbJyOCrk0zkZh3JsjRD9Xaz1pwTEkvavFuvPTZ4 WPs2jFF/vjlJ7X32+EtTmU9CSaJY1l6lN7JxoPlbE1Pf41LCnjZ/QCt6NrtgKBZR6x03ui84hu8q W11/N2UPQXZFK6TqdSXSpt/De8h4evlk3r0b33NFqhZQ1CGfMetrj8yW02Vsu/qZcreA/WFSRLLO CsVEqO377pmuaDqRSR4ygYIJZ63bzVjpj4Z0DAnnhQy7Cj4D51LPR40Z8KxHAOYvFFy3llb03tCo 1DkQOJdYXsmnNc0Aw2+ial118B65S1CTIMCvRscaR9hrDJNZZlbQx7XcdrkOM1bEoLTOUZfD0XeU OGuyNu6Skb6xLElXAMj+/Fozglgns4Geljsf4M7GdNOFfO9pTx5+9EzZ5GgucXcr5Wol0eWVFJA7 DsCDg9Er2EB4kKA/p10hz71z3L6mUdMVNCtuWBVFAdciN1lMr4qhr/zbGAF6M27jL9se0SHg2v+M tVyRlr0ECZ66pjWksjXmiamFr+2576WpOiO+aUqNeA8n1FEupF4HTjQyDNucL2YADSx0NWYMCcyD oniZcshQ4O0sjRpDTxzNba2qccOV1o9MlaF2u70zVomj2RcxeRW0d/vu0vLfTM+bNx/xl1/Iqt2V 0MOCbOKpBLAegxkw9A7RZqF6yPAwtF6ulMtRKA8uFJwnL8pNYhhv5G3Yvh51dq5xhXu08DFql9Q4 Xn4NIcmjrrzH9s/COlxSw92sBMeMILwkk41hswzgSg4Dw6AeFdU89LUZPuvpoPez7jMM1d2kJHXh xXUhL27NSNeGGYOetfPMqPSQLqXXHkoCBQa8OZuxo7MMBhI6eW/s+0KQqSs0ARAUcuE6AFWjPI5V EatzGCzueZB879aB3K6BNeHe/7dhqoI8l+z2VqLFfD+G1ZSmt/f9ZWyopnpfUjwpokgpEAdCvFO2 u/39U5bbXqZp5KyXgjrk8e4i256kHxbvC1P9/YkgJO66QtOziwsJ135R6bs1UvTBg8YV6v6c2iiM E9vAF+jgrZMFZwOSx1TiBIcJ5TerUsZzJUOCY3VxhjDQURXMWFXnrmatKyitxgKeFX5jWPdn414p iVRlZ8wLMmE/M1xmbPA9M1b2Y+ulF+Q8qcqYuP2zfaz+Zgf4kqRY7hs9HzVWwKuevyyUGLrQ+4Nl SXxWqcGomrU6G5NGsVzPJvLy8z9IgCTAeCytVlvWkkmYLyXI17JcLmX44In0zh9QpXZVZqSXxCcY GAsBVba45oyjUuF2Hcg4h9aE90R4xw0Vz0+WsQlx3B9uGiybnIdIn/5yG++FmjHM8zVbAAVpIL2e snSb+FjW6fUQh8p/3YRbHdqvgwA8a5O0Tf19ZWaOvbc9mImplEjvq6v67Y/J1zdSFq4nISgMELDD XVLWGTIYI8OIDGCn+Jw1fXCeJNtegcKQqnGojZ9quJsjys8ccx0Gx+SlbP3IKmrhsgvhnN6W0R0w zDNSzpczqt4t4hsuNkH1lEgxLPnlf8cX8rN9Q8nNeOIM1qRgyQ2MFesDnY9oVVsVLmrdnCG9M7uW 2Re38sfONdn0RZZLEcVy8eSprNKl3L16Ib3BUNr9M+mfq4GuNLIC7qm315vguhYua52rf18v80Ju s0gmBYzVaTWw39mA/VnnEmQrWV2/kmKVSuvsXOKrBxIMz5pB9yYCZ6ORavB6uv2OrNKVrLNcJpOZ dLptqhpu7pNL+ewhXt7HYOwD7zeZ5pveohpku7jbpQivdzH37R9+rPRhe//etRsnWKXy6atUolav 0sKCsUKNIIZdNS0OViNiwn7IjMEYwVg8ugpZ9AtsBzwrkEQx4FFBnoYlMy5k0qajDkSHF+dRH1A9 AT6YKSdY7aCB6jAgVvQMLw3JACxLvS0nFFjRhjxjRE/NFdRiN+BtYScsrLWQUtUaNNREQgHbgHoo jBVLb8aQfqZAAxtn8BpTgsc3fmqYSahdzOR70VweDGDE0PU8lhVCSFArVktZziaV1lSB+NkNnvc9 U6Ok1pbDSdm81i+vgWelxmpcJBW4/q4M4Hd4cgTrtSwnY0ngGSIcns2k29LknVxeyXp4puVwTbWE h7Jtp4R1+BxF0nFSSrpIJUvXGxZ/2wPaNpKHMovb29kXpm4bq33H82aiaKeP+uleSgpP5R0V78v+ +Gf512DImdtmEkI9A2vsoHLFtZECIVSjDg1/QAxFn8GnDwOZzgL5w19yeXVTsuTFKBIIAQHmA7Am gA/j1zEJGG2HhRDSVBzseWLZf4xN+oLzqlgkrXLKMFb0xJxHxiyd83ZUelnxMhg46k5RckZXToyO 7bccVufqGrG/kylAdrQyU+8KdA54TTDAlg0EJra2fXPnlce2XMiD5a388L1Hcv7hlZSDvkTolox9 StrKEVtnEqHspyylMzw3OQEWA2+LNZSVzJFaY+tcs3lflbJYi8wLtMt7825RbzLgZVrcXwI8z3OZ 3d0wzG0nbQnSpQSoKkBP0V6P/THDXs8JJNbDPd9OMwwYx0IxC/Mocd3vsHRnOpnJ6Hy49d3mbjiH 1t3kBfr7tW0E93mF9XY2GGNy33GKl2QenXtFng+SAu/i+P0fXkqaaIkVnCqb+MzgJWpAYKxgaKx5 BN4DpoPTAM9qNFSjYCEjPBOEd3AY2HMPVAknL4MBVrhlcQc94F1675A+4VEZqG6AiW/F0KrKrIaH relV5sbPLPrJaOv2g2USqM5KyP1gOy0XjsK7M3IpvTpI6qwgIqrkWBqridYIIgzc6Opcgfwle5hb 9IaJ+jCbyA/bK/neD57K6P0nUlycS9HuSQQNLSOAVWvRkI/hJQ8ilwTdnR0Ylns0BeWa1c1ONkfJ MrAZruF3AUTAW1qvmdlLZzN2Ph+0OrKA/j2ae3R6EiUtih/m7Y4kw6EaJ+DfztUtj5XmbGfcMPyQ axs832Z3N4WUcFFXy9q93Vw3/93Y1psYzX3D329/26fwtQ6NfVnU7YEnn2oN0TeQd3Gs5qn86aux lGGHHggmjHZVVrC9H8MzCtiX0Nqym8InJvVoEDAjiB9M7HSlZpm4z1IzpVR5WCnd4XygYLxlCWHI uE7gPAakGz4FL4hsdNOMdx4MHgYliL+h5CFCBvWKNEGrk550B2q6g1KD76u7i/Iow7ycwGaFgxko b0ZoOtXibbDX0Rh2NleiKJjbxuGsuGdYH7+Yyyhfysdngfzshxfy8Xvn0n98JXm3J2kQyaIMmQWE Emk9NLNOZj+oH2S/FNJH7RCTFDmXsl6E+5oDY5UTkELhXaGU6Ju+5TAHcPKyTFbTibRAH0pTWSyX 0u/1JWTsHkvR6Ujg9HvyTpdNWktSPmrI4diILSXsG59joPv+z/QJsQuQF40exz6sbN+27hNGnZKR tPUfM3ZN6zwF3N815PLOjtU//1qWRSAxsSlHVSGjXCc9CpOx++zajIyYC4Mw8Nn5WUgwHgNTncYn UuUCeDKkGxSlDPvQxArIijfAHaEVQiO8VsqCytGwv6HruKzeRMUWUdqMo5lQXNJtGZ4UPTyHsbEo N0SDXu+B51aiTHhVUrWO1jh01BsDm7q+c80hnHcIPSsw/E3O2C+stk7ZtFVgb60W8pMLkf/4P70v Tz58KK0hWbPcR3RI6CP7B47e1j3B47Xjw70J3p9LaggN8P5SMRg/8uGKUq4z8B1zqM9XOgpvM3tH A7VaSbEE9jaVDk+2ligEMEytFj2mvNdnmIufHNDQPYzT0VpCG02T8dDEVoCxBtL9kAtPA9xQoBJQ R+vANl5n7AsRm5bZ/hseJTS+zPs61kmnyXg2vddsLN2kq3JJ784IpxP5/e++lKw9lC7kYqyYF1k+ F6KRvOll5Pi9tTLZYYQQzgHDwiBrPcb7ilkZmH0GL+wyVA6W41NhQLUBYWMlJ2MNUp1kDN4H0F94 RFCy+RgmheysXFU+o/cj1QI8GgRNgMcWJaai8SY8LpT7IDGAtYHgih8ULJPCsHSNUFEn6MJHeneu VtEMDo2MM0jYxEWQyY+fDOXpj78vcTuW3LWB8yMT02Hwh/b95I6qfdN/9npUeSmyRJhdBJKWIF4H NIQghTInTXnV+7lYVTmTM5w46DJdSTq+Y5jXCtCxeyFJ0pIwjiWm2qp6T3EUU9kCoV7L857exsCD 7OTSnMNp/fpCGbhZLRMG7L4znc6li4xhu1UZN+vCYetq4jXtywL632kahwyY30OwXq/WFWLs4gKb Gc1DYzdzWu2RyorQ1Qfu8u5kaj7/xb/In8qOBLEeM/hUtttoZIw7GKEgxJGGPVNi0BsbBgsZQzQW tbZVMDpsj9VR46ZZOfXEkEGr7xNPA8tjrGOgzhDDyKFULnUNKyABY6k/m9NBWHJyENzlNa6Bdw1t 3cME912WSZTmEid9lvN0oXiMJBEUUBFOzYRhn4H765VTXQA9w8ptfI6Xd53xu7tayJNeJA/ff0Jj tfkww3ea7yW7ZSs6hMOomu69DIXE60DmKFgu8QNRSEfXdqTm1ym5AXZ5O53q/haFLOcz6YM/uEyp GhuxKWNbAszjlkpDJ0gUOPfXJ128rUFrUaxlGJJBth+P2TYWPs61C3prbL35noZ/iFVZaJzlslrO yNeC9HITbrYdcvnvH8LX7nUC3LpVaH/TiG1qYB12wQ+te3fohrrAVMDchYjfO9CbcP1Pv5J//uOt LJGpcRiBhUYAsrnPuEedmijIouqBKRAPY0ClTsdcwcRW5rqeB09Srfrbwqka9yldz4Aqaqp4V1YO xCJnbDpfs/aOU9IqFdxEwWeQRYGxco4JR7b2PS4kPae7VUoAACAASURBVNhYkF6dGjXVdgNADQb7 jBhcbYyMiW/GmJgbKBheraAWautD6axYymOQakfa05PH3wCKbw/L+G0uunXPi8h8XcrdOmT2D5pS PH47Bxvfub93M53PZTUey2y5pHjfX67v5NlZX5I4kqdo/9btSRFFkrxhaHfqQFjbDXMZtQr+3tF0 3x7+W03gun9Btj0i+yyMQvKxEBYiBIPhguTyYFjr/eyjV5waop1i3DZDw/pJtp3JMwkOPWEFCXkm jbzrQe17WprhxTIKOuPY0RdxGJZUplyVre+U3tD646fyj7/8TK7DM4Yz/XYowy7E+rRB6llP27/D SAHn6SBT6DHQcekQDj660klGkTrXGNRCu5qPVFVBVZ9RVdgplLo+qgo6Oy/L2m3BoBBgh9IFvpSu JHBtnuEtUQIGXwB+krQkQmmRK4nCUJ06pTAwIRkgGxVI6ZIHJTSsUu3QDEkYzR7qtoklo8ibiqu1 8oLqsLts6VbL+bN2JA8hDXewo/GuL9J8L9Te/aooZZwF1KtaIfx727yq+Uzk9lbakF3qdiREaNfu yBCxPry9bo9qq9/GKMpCkjKXywRJh0LiMpXlcrG/a87m+5sr20cybVrG96LiRME3ZsyWK1nMltLp t6vlmj235gzkoWWOUw28dHQD1qS2q+6Gqx2CS2dw9vciPHV0gkIGQSbjEk9IYA3f/gjTVD75r7+X T1ZtWXci6YP06Towk3xZquYVegzCmKGwmS2zUKaCaIHt5gMWNiPUU712NVT0cBCieWEThvbgc55X qVrvoDtQ+RPZQaS7nTeFpdCxxlWk1nW+FNVTVb9guZQSVgbhu+MvBWnKVl9FgkkWaQgYwaiENXAd IjuH0Nc627j6QDDWHUEUoDu1stboduPAdjLyFccCdsT28rn9rd5VkqUyuuzK8IMrigAcRhN8o7U/ mIIHh4zfeB3KoozVQ3Qe1dsC0SEgmL58Ka1uVxadrrTiWIaDvlyiE3wU8dwFBmJ+gwNYXyvIZeSy o8hO5+tMZtmY5UsbGNZuxm7/iptoDf7Y74VB7A1s3Laki5XMZwtqxh8a/rqa+FanjE2Dtwl+bh+3 P/Qprd6XEvXgcWkRmmJdtSfpe5j1Ni00qsNLrOcsRkiRyRQSJt8BqS/77b/Ir25LGUdd6QBnrLrT gKKgx2tSyDAyqoKg3gQGwqnHV66NFppJeLQAO2bDefi3A/HhEMHmsEA6rbNiLOthdtG8NSV0Aruy Qf/Ot4DQIZ5M1Gsi8Q84XCwlmkY4wlaNW5eAyajRjm8DDwOWBEOFLKV6f2qM2IoLtYYwwgC0IRXj 9NjpYbmsHbJy1vTUjNiwzORsOJT8fCRZBmnAU3J0+z9fWw3gOtLp+jZhBNYy3kkOryqMJB4OJRye ye14LKM4lL+8eCWdOJR5lku/05HzM2WcfxODUU65ZrKiC0PVChG1y2K1kFUxkzxI+eBxBms3VW/x 9PZK7bcf8m1P9kPely2GCRwnoayWm80vDh2Q//ehUKwpPN1cZnM/94/N7CIMjvG3TPxPsRF00fH3 sdyQ9LDvVyEyGN0ich4Xkq1ycnK+7dDwz5/8SWZB34G0+h4ycSpFXFZtrxjmOW4SkwaUORZ2dEFm EO9VdXwO0zEagE3uSg3UgfI4SzAAwIGMQsFngMtE2lmkugEfCE700ASriPiHUhoXgdYCcqTQdoKc wkpCPFyA5rdVHRAhJBjs/Nx1EgbXikaTpUAwVPD6Chorto9nKFi33rIuzeYp2vGaIWen6iyVXtZS LzxSiSW7J+rhX+v91x3rVHWFWD3x4O3dI6AlhOOxlJMxM33l2UgiMMvhTd3eSFlG0m3FUha5LNOl nPU639g9WhRrGUS5jOJSuuwPUzDuSFeZZOVc1rJ0iYQt4ui2d9CEKx3Ch/aFbbsHqp4Hn6RWXr9n 7DOGh8bpVIO9W927zjp8bdqGLavbUsqECafV+lxKJM0p2N8Oc0lROnGwG9vbHcEXn8vzm4UUnR7p B9ogodZRpwSy06oy5VCCyYOQXhUmM4yV2QkaLdcCHmGdyb+YqoOGdxZOQj7ZvC/dJoZRBHAKjTpQ NXIxyoy1aEZCRIle9KxKeFowEACiFksJIN0SrQnC87qBF1RVI4c0WmbnfCOKkJa1ga6lvBrdzc7f ZqxqzMo1ljB8Dp+heDeMJItima5L6Tl2fj1qZ0C9PQfauyyddaCCbhWkYAA1vzVjUZYSzmey+Oor SXBfwlD1+9pkw23j4cUFyZ8Dp0nX6w2l027dK/l0ygBU1A7Wcp5AWr1g8wrcE7MFPNNClsWdFGFW 687VtIZdSgHfbfBStjOGh8YhioJ+ph7L9ndO4VSd6nH5y3ivGnG504aFeYpl+fvkr99afuMz/B0E deZRs6k6CdshAEUt51gvZjK5fUWvon/xgC3VgPkFsYKeb2vMf/lreZX0iWpDFgZhB5uexmqE4F21 22pgTOIX1IVHl6oeitfArziZnTyMhXxgrJtqA3EdJfvxfQzTaTLdMIRV2C4MWm3wXf2iM1YwPOxc s1op3kKlvZSvgZaXSOvhS2m7khAFebGE5bEfTL7+gD0hsSjCPLQigzcJFjtY+DBWCG/J5udm9Nh9 w2UG2DdSlZoCQuVeW7qjvqyLQiarUNZZIp11LsO4cIZLDxKGTps+BKr66QxYO8jlPMmp5IAW7QDX T+2deWwA31u9eiltSCuhGexgKNLve/3P9Jh6HVBbdYBXFR9XYTp54I4o8lw6FCYspRfmPC84kctl TrWXIIGkDrKUS6d6UduEna45+/CofaFWk6E7utPVd7ZTuJvb2+epHdvOaU+j/R7hseEvvi9drR6V sbTrtko1dULZ3LhYdwRsMvnTv/wTl02nY4labRkMhjK6uJTJZCrdfk9m05m0uz3J0qW02m1ZzOfS 6Q9l9Ph7LKA9ZYTLpXz6fCrL9rkkrYhhYOKayppgIXApGCp4HootqaEiII+OOaA5JOAqqc4SJivI nzie8QShlJblGA8KgwJ9TjhPQ0SdojCMumxdr8jMomX3QAJFAL1a1lwDGCt4VfgNxBzGjEW1a4Y0 aHrK7syuS0QJgbxulzV1GvZpXSB4VcCrkKmkc+YaZyh9QY2WnoPao2q6D7ivhch5OpYfP27J1V99 xIwmjFxaxqSwLLOchivGg4sF8CEpCeBQoe2beVysNghL6UGFgfW2b+7VBAiRZ1PJxmN93J5fqFdl jN5vYQA7zMuVxMFCLhJ4by02qEhXE5npTSblOpQyhKJirsrDzkX37UxjjvJYRk5T1ZvEz83PdwH3 pnXrf7ufvc443egc98b8VPy+7exfh4W7KisDmiOSDNoGPHZAvU4ITlIUE0sh6TonSe/yyfdkMR1L mS7kz88/l8/DQD788U9lcfdKfverf5Jutyff/+gH8smvfyFPvveeTK6/lvZgJP3z0wzW7F8/k7+0 zpiyxq7Cc0IpCrwNEEZhmHAEmLyKP2lLLxgoZMsICYXIGqrBteajkDvGpMcxmROEwYyfO5dsPOEw LvKrWlr7Z8apAB+qytK60plCw2p+YaXaL2qcMvW2kCEEaxWgGA0YPK+MrGu0kMdkhdVBGAjDAAOE FvIghpqRMt6YNpPQRrFWY2hZTR/vp1dV+cjOIyzW8vSyKx/9uw8kefxIgttbCVep7m8cU6UDhsuq HNSk1/yp+u6MZJo7yZg3nBOC+TebyvLrrySJEwmhatrrkZXue1Xf5EBIiaxfML2R4bCQbhJJlxr5 aymAY5ap5KL6Q2URS5jgoQ65HEQj2tvSHxQxbALYt0cTufPQsk0k1J1wj4Wuu+U6Tes6ZdvHL+5+ SsRmEfZpONkho2Xa79Yx2rS3tMPupuAaLgKATwi3zW9eSr/bkcHZhZR5LnEUyXIxl3Q+o8EbDAZq 0OBCL+bS7vYlRPr8xPHZ776QRZRIgISAUyWAZ4PdQlqfmBvwJDDNA6U2gGulssh6mqxBBED5QU+L dNEwFN4JMXynm248NxssPkZLeoDtThjQCJ34HtaZOGkXstvxtwmpA+3HQ268oqwCpa6toSGuBQBi KgE6LwwH1u9VUqV53FLvCl7VUsF0hoVL9Z5S95relAPWDVPjMcErdJpXFf5lihXrXB5HK/nxh4+l +9F72mQVZOnZlAYjHJ3rfez1S9p75wDjK2NZ0Ri/fq18sFxKdv1KknUuSa+v4R8M+7dATSBUVCIE zqUPpYkik2WZSgvaO3ksq6IlnSiRKA6loOvt4ALyYKy7zy4W7TysTf7H/km4bdSasKbjhE17TwmE ORnOx0B8e297Hw+B8btYWM1izzIV59e+hD5YXm8XP021W/XL45iZdeNRo6Vgu51vM9QpVSYnkrYv 5OEHP5IcCotJInG7I90Hz7jcOssY9199+DMp06l89edP5cO/+rn0Lh5Iq9OXdk8b2B4b+X/7pbx8 cSdydlmpDGCwALgsqaCwKT5Xd3GGkB7+xmRVx0GffjBSMEQgWwJM14PXY2QBsyN/Wt8+Y6+btDI2 Y+qk2CZCRBpRPJWN3Yvz55B84FX4CVAWQqvJ/mAkgWoaE00O+1J2e5K3OtoDryhkkcUymap3RW/S ldlgv4BfkcqAJhpbzAlzRIDVVY82L2MI/O+8WMpfP+vKk599zKJf3h2dtkSUo3DqhfcYKKkpQl3P fe1VgDk1m8n65lrP3+j8Wwn/wEjvBGtBKWpMCZ+1xHgYQ0MtiSRnH8REOjHEIWOJQzRrhbHaxsF3 s6n+PK6Y7uYVbC+8uxL97BCHaV92cfO1FqsmeDIeqBVs+vs+XpaPHRngrTQENRrGRNf11vtat/JW PMr3jA4d2+ZnRnlQEB7FeNucMtRYrmcTWWaRdK8eS390WX0/7g742w/21ulC4uGldHoDSdrdk25C 1Avm/+X/k1/97mu5afcpxYJLCnAdIR8lhSmHrKEOPC0tfFZNLOyzkUlRulJRFSi5ojYDgDWMgB9G sWGyK+vBdxh+uRZa8GSof+7pV7HI2Ro+4JpwNU7CAdYmMYEqYFKVah4BdnehVADu4lzWSYctyIKg JUVQynSl8jCUhXEMd8PZYKgQEla8Ma/OUZNLphvqZQORGUWR93ImH12E8v7f/liS87P6pIO4ip8l 5MJTKRFLnzh4VkKEj/cc8znDPxiJaDiUqD/Q7X4D4R/DWoRtZSGdMJdBnEsfDyNSdpAhX0octSQM TLxTM8QsGg9ChoLLfLIjA2C4ryb0dh2ZmFIeJ1ve5tBx25M5RfoYGbA0TWXUO3tjbKrJcJqRUE+n 9pa0DVdd/GxEUm9tngF1maESXlnm0RNOe1jpPqzp0Wk4BIa8faafd7tdeXCJ/eqz/92xEbe7MoSh ugff5o//+In85bcv5KbVo1gaMCi2S48R8pmCqIY6ltJHSQ7etwYPldieyxCy4w2KpBH2gmy5VNlg 9Zz1HiA2lIugwTEVR12vK2QMoeLAll8exmXzikYvhBQJQkLjTmhJTrlYEKcimAbCsdUVIvwbDaXs 9SQbjmSaRiR6AiGCQVSNLrV9ZOQ7Dwn7Z2GgTR4LiznNHF61cV1dJ2x89+lZR/7qpw+l8/TR5kK4 T3pdyWcTCZ9/KcmDh5L3eid7OcE9var85lrixUJa8PAGAxF43d9AGQ2Y6Imgvq+QTgJPCihtJlGQ ShwoKZp4ZJjRUwyjNgF0tCxalxlVVWHEKEGEEHFrWPRl+J7vzBA+ma1LVqsTRnAtsbj4lkaWv0L7 fGtTRw/Wvgsjibqo0jUx3c4I3id7h2WsrdH2YMzrutUYl0O/s7k/5ln5Q1PJtrxafKMn+KU5lvGD S2zDSKUYKPy2fTBWvPYq1LC02+2we0+WxTJ7S+lrG3m6ki/+yz/LP356JxMZSL+VSBt3GL0ukzW2 Wkq9B4AtoZ4OBhb7Z9lB41nh2qlnpuFVNlcWPKgBrEF0lAWeB4d3YfJjO1bQACUGGhkXevpGy8B6 GDfVD3TMVDxcYE1hPYDFIAvY79IgIzvI92Csemcyy2Jiara/+Dpxq7VSMBCawogZo12TBJaR2tT/ NAjNf9AY1eE8XMtP3hvJ+V99pLWNWyOAzO/DxxLNprL66rnkOP8PH9/L2zo4ylKixULWr15qIgKc quGQ+NnbDP/Um8pJubggPaMkC53wgaCQP5VIYllBHwtuNxQ4orbEIWsL6CRgPsQlAPierIpFVUC/ bZSCI8oxMWJO6Om0UQbReE42vY83PQ+YzMs0k8lsIQMTUDrije3DwUxVwer7NtdlQN3xffKXsSzo 9n6ZkdIsmBqv2njXkjT6GgZYU9IWSqriqHabrtsw1U+R8xZoBLmkb4n1Xsxm8stf/FE+/XQsU4kl RH8uz8iyYYSnkACtKkRc63UgU3ZLBzAe8j3UBa6JZStuRa8k1eYSCBERxmlYpZ3Iw61rAGwc34V2 O/Fzdnh2kx9Au1OFMB0mfMZCZ2gWo9BZq5f5xeDRlQSgNIB7MTpTSRkobQBYb3dlWbRkgUJlp67A kA+1gQvHXIeBYvmNhocVydU68VQZbC88tMpS4HCuXGewGMtfP2zJ+z//mBrkjQP3BHhO7baErZaE 06nIi69FBkMJhkPFlV53pKmkXz2XGIagPxC5uJSy232zdW4N3t+lqiUMkQmGdphTzcDgfABJeq2y 30nckTKAaCDqORMJA/DL4JwsiIEiFOzEQwnzSNJipiyBLZ6nYb/29zYsFIOgBhsKj6cAjhE2G6qG w9nyTPznUjOGhTBwNltwIo+GYFn7IdmusYJVRziFYU9tfxGW91Qe1Dbm5lMrmi7HdjnQcW/OQHTb 59p19Y1j7b6qlK0aOfysVin31+gNPtgPqf1+mMm6wMV/M1eexuGffiEPv7yT4OqMT8bR9XOZDp9I 0WrLg6/+LKvzEcHpdrmU/t1EkvNHErViSf70mXRGzyTuxHI+u5Ek6ki0CCSZLCRO57I+v5A4DSWc zKUXdyRIHVYFJjwpBLhZXWkSqusv+hJ22mzCUM56yvMa30r09KFEQSHl82uJzlESIqQhhOmK0A8r sRH+wT2CptR4LkUnkvDxgMYKoHs5VIyPlIUikGUeUXvdSoWAqcEgwcuzUBdelpFbjffMZ4pJ39CD Uo/SyLDGwQJmhdsxWczkw24hP/ybj6V3NTp+PUD+PRtJ0OmyFGb16gU7bCNMhGzwvUZRSDmdSjyd Sgeyw2cjKfvQ9Xq7vQahP9UPczlrgdysOm5MzqwzSRFNlBoxrItMwBhDxi9GG26JJS7BzHeG08lO 4SvdsKeYVoALPG9gEzhh6y2c10bFw4LRgnwHYv4lKhlcfdf+1P3rsczpYWDHh21JwJPZyeLpXwpQ 686qh7KfYHosq7md1ds4OTv41bFrbsbJ1rc/MWEXY4WZwpS+go/wzra3w30qS+kHa9YVLk0p8p6j 9G60y59+IMOPVnzqAghtpe/Lqg13vJDWDE0Q2hJ124oRwTCgVgye6mAoV4ORxChQXz6W3D3QGHat M1WWBAZG9jgYZC6kxn8ldQToOfK4kN1jNwrotGCmR1LCu7xKpQBHiryKJ6QkKHUATNpC1gHwjlK6 PRj2QEo82DpTST/5b9J9FoqA8gG8D14VynsInKtmvIHqlcSNM0oqD1Mz0yvcjC3sXXdw1x0ZNYqs RVytJVqmsipDGX39tbSzUgarQs7bgfzkZz+Ss4/fO90bBvQB4wSFTnhc05lkz7+UcjiUBN7RCcB4 CI2q61eyXsxF0PoKdAlgVm/RULEzUpnJKFrLEKWYuGcBkK9ScqoQ8nVizUqvipThYElt6I7EpCDj QawPXHhR6yIlXQHLZEUq8/XdzjbpVcGQIdEQtYFubYSLvo2pHuXgAqEaGsxl8GRQ19PEp9KxS4Wo jY/vaW3uFHSwQGOAEfLBcWBQOpH1yeyHV69Xv7RJv/D3U/Ej9X50+69zvU/haWkYCEPl94oL4DI7 oAYGTL0v7SsHw9JZLySFQYghqBfcT+gsWMuohQLSUsIH58wu1tu+kDRdyRAPp4cjp9Gl+1QU57bX +sS2a9NtU6jNDNAmBaT2Kv//2q60R27jiD7enGN3Z3d1GkZgywmc+FP+/88IYCQfjECO5CQWdOzO HjO8g1fFnu7hkByOpLRhW9qdIZvNZrHq1atXTYf5P/YQuy8vGb0OSoM6z1G2/DL2tWy8GfLCR/rf GyDaolwuRTKmfr9G/uw5ml9/F6WB2WOOMk4RVj7mXgD/do3N9XNcMxzjuqcxC6eQnS2QZNud4ZMG F+wwnM4Rtvwu4nz82Wa+xPXDAmWUiC55Hicorp6gYqlNRRCZ0Np+P8DBQe/67Fx0pkgu9dZraRza rPQl0jeI02Xv38F/3CBKZ/CePBVQvf7KXhX30NwrsfQyzNAgpOYWVUfzrRQhM9xrvAbbltTJ4I/e FYcC6DZaEdyqzqVjNWkM0j+R3kpN+i6lnGtN9pkqkKLWF6bUehKQN/Zgnx0Q0gMwGJB01A3YKZaT Ysw6tvmO4UOuUdMed2VRImVaypmAelOq/imfFA/GhktfMrrgvcG9+LAQNzlmZA/HMdqfDhoql3vl igOq4oPiYPy9igNq5pIxflxlSJFptxNRL6Ay6/CDoGBoiQvWZQXqvtOL4e024bK+EMx89mWhOdz5 aeOJQ8Je3+hWNPR1XbLn2fdwjRHsG8LPEyqJGnQa2pBicj/+FVgpoBxEoWi1N1GBkO2yvnuh6gxC uKSIsrrCfl6gYvHzi0o7MOsFysMeME5pXWb5hw8ODUrLepUHiUByFCOqr+W7JPgyg0ljWrO4RlLw VFWo8FBH0zSj+IKnl3V9LfhXfvMJ5et/Iklmsg+yIkeapC1nMEccRiJDjNVK8a+vDKqj9cwvvFy8 /HlErXsP220mHlXpbVD7WnHguV3b2TrNJ3WBn1eAves10ZCRwsAtkAZLJCFLpGo8FJ+QBmfy+6x5 ZGUa5mmKNGLXcdYR6vdo2FzHKeSmVhCZoHBb40VCIJnZsmEUIHYB5IOLnZjNk7SkkH7c7F4lqdiv ATRz9Me/FiPTGr7TM5zHhgkpWLwp/LIoHCwOV16Kstz5r5butA+Y5+EqanARVXiXedK5l4qtwhlq 15Cd5pjyj7wG51GDmVdJCUtAI9fqnhsvlooRHN1Gm/3YniHMTluPbvZ4iJd3yjBzpldl6jA5Lxqt Yn4GnKtLtsvmGYZHcmaOsD+npdZKTp2Xix4Kfy+KkApXUF8OfFYk6yncNdXoaticNaAaaI6bkjWC DGUnGC7KurBcJgwRbZc7/fWkZiQSaNccuf/U1U7QpMkk6suxwTlrc4lKaAo86aVfYNl2FyqqLbZF KWRlFiI3fhtLi29EAU56Q5Jq3nnqoaeS59pEQ6GWNFhoiMgdG+VioIQw2lRYRlcIvUTlY+ocTUCe iS/hclVTZSM7IHOL/dBNodwik2Dg6TaF9Q70La1cJFNyYQ9mUtP6OVcDyg4F08q2TMUYE24Ipv2n GasuB+yQ77X7zQGQvu9pGY/lNBs5/mElZOvbwIS0w4RS9XT4YKqWvFbk69rwxpVSGPqUNXssayjV 2MSBNgxllqaSMpQKMe8bN5KTfHANlTFSRh3BrMsQJmj+b7GDaWvQ5cCdsnZ9lBkLCch/VbXCK0Qj aR//M+Hp4f7rJoQ+x4aaDLCdo/6de9eNCijxfBlTJqXCpqpxV2qJjaiejm003jNSNIhvtRM0Wh7m z3Jel1vxhePdr7/gw3/eII4CJEkiWlfJ2RzpxTm2VYFP6w9IZxHevvkNcRrj+tkltputPMNn6Tl+ /vnvePWnV3j69FKWliEfM4L2PhuKQoAkWMh13Zdb8cQ46HlFXoq82sgxk2CORZhgu8mRVQ/iuXJE ftIaLruvHKb7/kM/j7jgbJrg723IvqypAZfpVYjKYhvymLe88nEYeiqzXL+j3sd06Yzxh8Wdy9Bw CYqnGqvxt/N+CNWX0ewbWktYCZVAMCyK+xOUZbsktkmKtD18VlQoygyeECH1bLMkgi9GSufHc7p8 NNdQHbu2wd+c+Hz0gaSnfM+Er/vf1Ss2bGnusaGXkXRdbvefe9z9Md1qSQFyKxFkOIqGPtPH+xMt Kyo4+w2WQYOszttmERNCxa/cEmto8Awff/83lpfXSKMAb/7xN7xe3wgO9/LlN7h/uMfN7UecX5zJ 80pP9/Uv/8L6bi3dr+Ioxv39HV5990fE/gKlt90ZJ4O5uusuTT+aWr7n3lcqN2T1vXhT8kLgC1XI y6rUwBBTCLyeNoopWCOqHrA5iTmUnoj0hruCbwwrPDeETxgAVj0ynay4zkEgVIbN/UYwi3gW7wiY /B4Xw2wESxcwy2rn0vdQ6VyOGap9j8wQFLnZxjCU7jEOKRN9xze/sz/TrCDDCHNey90yxdAMB9Xg tCqmfGBZDtMSV+UNz/KHkF6W3jwTfipmpOdSz1dxH44+Q6WfHfb65Lc9mdNTx3RjZYm75txcr25B vHEutGLBfYt3MBO5v65/Mp7hPjbYMMTMh3tWsTV9kMaOI52bAwiemAQ1PuU51hU1qA/pKgY2+Nri eEODs07mc6zf/YZgOcPZLEH+EODlyxd4+/Ytvv/+e+T5FqvVCrc3t/j0/hZBxH0aI4lSFHmBzWOm oZ+U2/gIPHKuuvPfvwcFIwI+523ZTQDWFS5xl39U0nWzkV5vBdfbpweWKLZFML8VI9h5WPtD32jK gD9cxHFPo9Xjpugb+7ttCpRZjsUskTQ5334MVbTExYaiOpm+pR0bLj3hcIEOjuZwxoyxOD6mYl1G SsaGMsZoq4wywUIy3u1ym1Ifdx5isPJyx9Uyx1YDq9lGez391Qd6jVMfyqkP9NCaHmZxpnxu/7iW h2dG38PbOpJHj2+vf8hoTlsbk73lJRE/43GTJN55cRyEM8YGp8KuaE/iRjKPNyWDHc2Ysf1I0hb+ 5sLC+/8brM3DA6oyxw/ffoPFH56Jl26y2by+ilijrQAABQtJREFUP//lR5ydn+Gn7Cd4YY2H7Fae V+7FwA+RhHN4dSBGa7mi3lhLR2A4OLbk5p46v2cWMA5mgn1VUO17NpuAX2AWPUHoxYIHV14pNAcK Le54WN0bSVlX8i/IzxoCVrtGip4C49zt4xYJMxyUp60bLBczJC3PhjdqGmY1fvWH3sD+27bveBbX 0FKbLjXj2NBQxx5jaIO79AwaI2IEZs5uds4QR921MMW2Su2w17TvWRxiTfv0ky8xVqd8Zh/fGgvF p2WTrbfVzWKaP9Fb787rtOufbqwMRmUyuWJkJILgvdNIgYZMJYPGib6shqIMcNMUuKM0jnhheg0l meKtJtjnBISN7MsKMSi5XUtD1W2t/DQB19vkhIjbPHxAc3eDq2+f42p1tVtnZgM5g9l5iNLLcbm8 EHZ6uGCpVYSA4R73pGBPJH8SW32QMHCntjByk+U8jqPDkC+v7uH5C8yjFTblrXpSEv4Rpidfj1He HLE/w23xbkco3bX5MudzjZXr9nQpAgfcK76JNpkoYVImNqojscRJ2/nWfG6c6HnqjZqClXT5YBY/ GzZa3sA1H37S1A0azzGmcW6PYdnvffPvn6p5q9u5m3Iggs2WVa/zMZy1U7f6sMd07DN2Xl9+vv1z 981h/wiU6z34+WC43pekOT6UaqOZXhOaBgE9ZbsnCCco9KFZ9CyjtzycRRcJm7LBQ01KBK+BfMd2 D8rfT2/Z1YgwHps3UAtdFT2JPTBJzKnSCJpMqjn2OqxQLxPMWCngrJtk34iH0lA0FbbVvRgQGitS EThIAM3rrZTfeF6EkCw/4Z/lLX7VdWhstlDnWzuhe4CG0tTVo5wj8ReCZ1EKqKboGDzcle8lbFSB AkO2FoPlGKuiEayEBEazg8wksm2OIiuE7UpLm+U5kjhCyU68rRQGi3ijJLTEyNBmwvRNpU0BTBZt Pyw7zeOZeFsHfj62PfqN1dDGViCW12HURKe59kMREh9K613pDRfwsVWKsGGtlcApyPbdYYmW0Gk8 hM8bfe/8z8v+TRkuNtd3Lv6Ne613pgMUjanD4IEu9mpxtGHMz/6rNaL0uJQ/ZjuKZ1WD9zmwLij/ q2qzKUqskhqUub8nD69tO5aBVI5xcL4WMJQdZrR5g5TSERtleBZrRtK9cwYz5rVdnpOhvtxVmZgk h6W7iByBNIAQ7XXKFJMH1XLaUp80BU2k0aDVFCGTE+ViE4bMrhgarme7lHUjyvqomlI8OXpUIt5H G+JFysOqM1RegYYt5HbRkRMS0rMSY9VaZS6McB+qGh8+rjGbJUiSCLHH7hke0rlaadlg8h0Fil0Q XTeD3nRjbU2WhwuZ58pFcl16/bP+jJ/tgutmg5kL+Lwxbhi7xqr7QBhDYblph5r3Y8NkmLppd7QP ZVDvyofb89tUv83WutnIPiOp1IZdtqbV9BoioXbnzP2wYGMInD66a3B8Taxx1mtqRjysw71wfBu4 sIYmPwxh2cyPQ7TBZM+5BejjBzfJJt4DgvSKceW7jCI705DUy6YLxGoYCi6poy+GpZH+lDpDpv4z 3BQBcqEJOHglaS5eKf36GF6SH5tSBLG9lfTWjM6bS2vhHuVLVSEFYqDErKi4miEINDvH7H6aJqil PQcwD1dybqkRFG+LRcq1UA/ImyK4Tu9uNz9Pw0bdKcOBbV4WmJEcDR9VTekZs7qasidmVUvJAMUL SymephyNEKLa54UJiv8BMD/s2ytDmHcAAAAASUVORK5CYII= ArcGIS Content Team Esri 909-793-2853 909-793-5953 380 New York Street Redlands California 92373-8100 US info@esri.com 8:00 a.m.–5:00 p.m. Pacific time, Monday–Friday ArcGIS Metadata 1.0 Esri; Esri Offices 800-447-9778 380 New York Street Redlands California 92373-8100 US In the United States, contact the Esri Telebusiness staff at 800-447-9778 for more information about our software and data. Outside the United States, please direct all inquiries to your local Esri Office. This information can be found at http://www.esri.com/about-esri/offices. Software purchase price Data and Maps is available only as part of Esri® software. File Geodatabase Feature Class ArcGIS® software To use this data requires software that supports FGDB files. http://www.ArcGIS.com Downloadable Data Esri Data & Maps group 4.38 or 7.95 GB (gigabytes) Offline Data https://my.esri.com My Esri Downloadable Data File Geodatabase Feature Class U.S. States (Generalized) 2016-11-30 2016 Esri Redlands, California, USA Esri Data and Maps for ArcGIS® 2016 - World, Europe, and United States Location: \usa\census <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>U.S. States (Generalized) represents the 50 states and the District of Columbia of the United States.</SPAN></P></DIV></DIV></DIV> ArcGIS Content Team Esri 909-793-2853 909-793-5953 380 New York Street Redlands California 92373-8100 US info@esri.com 8:00 a.m.–5:00 p.m. Pacific time, Monday–Friday In the United States– Please direct all inquiries regarding software/data pricing and consulting services to your local Esri Regional Office. For support, you may contact Esri Support Center by telephone (voice) between 5:00 a.m. and 5:00 p.m. Pacific time, Monday through Friday, by dialing 888-377-4575; facsimile (fax) available at 909-792-0960; electronic mail (e-mail) support@esri.com; or visit http://support.esri.com/; Esri holidays excluded. Outside the United States– Please direct all inquiries regarding software/data pricing, sales, support, and consulting services to your local Esri Office. This information can be found at http://www.esri.com/about-esri/offices. For other questions or comments, you may contact Esri headquarters by e-mail, telephone, or fax or write to us. United States U.S. States States 2002 2010 2012 1992 2011 2013 2014 2015 polygon area population households demographics society boundaries farming polygon area population households demographics society boundaries farming United States U.S. States States 2002 2010 2012 1992 2011 2013 2014 2015 The data are provided by multiple, third party data vendors under license to Esri for inclusion on Data and Maps for ArcGIS® for use with Esri® software. Each data vendor has its own data licensing policies and may grant varying redistribution rights to end users. Please consult the redistribution rights below for this data set provided on Data and Maps. As used herein, “Geodata” shall mean any digital data set consisting of geographic data coordinates and associated attributes. The redistribution rights for this data set: Redistribution rights are granted by the data vendor for hard-copy renditions or static, electronic map images (e.g. .gif, .jpeg, etc.) that are plotted, printed, or publicly displayed with proper metadata and source/copyright attribution to the respective data vendor(s). Geodata is redistributable with a Value-Added Software Application developed by Esri Business Partners on a royalty-free basis with proper metadata and source/copyright attribution to the respective data vendor(s). Geodata is redistributable without a Value-Added Software Application (i.e., adding the sample data to an existing, [non]commercial data set for redistribution) with proper metadata and source/copyright attribution to the respective data vendor(s). The terms and conditions below apply to all the data sets provided on Data and Maps. Proprietary Rights and Copyright: Licensee acknowledges that the Data and Related Materials contain proprietary and confidential property of Esri and its licensor(s). The Data and Related Materials are owned by Esri and its licensor(s) and are protected by United States copyright laws and applicable international copyright treaties and/or conventions. Limited Warranty and Disclaimer: Esri warrants that the media upon which the Data and Related Materials are provided will be free from defects in materials and workmanship under normal use and service for a period of ninety (90) days from the date of receipt. THE DATA AND RELATED MATERIALS ARE EXCLUDED FROM THE LIMITED WARRANTY, AND THE LICENSEE EXPRESSLY ACKNOWLEDGES THAT THE DATA CONTAINS SOME NONCONFORMITIES, DEFECTS, OR ERRORS. ESRI DOES NOT WARRANT THAT THE DATA WILL MEET LICENSEE'S NEEDS OR EXPECTATIONS; THAT THE USE OF THE DATA WILL BE UNINTERRUPTED; OR THAT ALL NONCONFORMITIES, DEFECTS, OR ERRORS CAN OR WILL BE CORRECTED. ESRI IS NOT INVITING RELIANCE ON THIS DATA, AND THE LICENSEE SHOULD ALWAYS VERIFY ACTUAL DATA. EXCEPT FOR THE LIMITED WARRANTY SET FORTH ABOVE, THE DATA AND RELATED MATERIALS CONTAINED THEREIN ARE PROVIDED "AS-IS," WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. HIGH RISK ACTIVITIES: (A) THE DATA AND RELATED MATERIALS ARE NOT FAULT-TOLERANT AND ARE NOT DESIGNED, MANUFACTURED, OR INTENDED FOR USE OR RESALE FOR INSURANCE UNDERWRITING OR WITH CRITICAL HEALTH AND SAFETY OR ONLINE CONTROL EQUIPMENT IN HAZARDOUS ENVIRONMENTS THAT REQUIRE FAIL-SAFE PERFORMANCE, INCLUDING, BUT NOT LIMITED TO THE OPERATION OF NUCLEAR FACILITIES, NAVIGATION OR GUIDANCE (I.E., AIRCRAFT, NAUTICAL VEHICLE, ETC.), OR COMMUNICATION SYSTEMS, AIR TRAFFIC CONTROL, EMERGENCY RESPONSE, TERRORISM PREVENTION OR RESPONSE, LIFE SUPPORT, OR WEAPONS SYSTEMS ("HIGH RISK ACTIVITIES"). ESRI SPECIFICALLY DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY OF FITNESS FOR HIGH RISK ACTIVITIES. (B) TO THE EXTENT PERMITTED BY LAW, LICENSEE AGREES TO INDEMNIFY, DEFEND, AND HOLD ESRI, ITS OFFICERS, DIRECTORS, EMPLOYEES, AGENTS, SUBCONTRACTORS, LICENSORS, SUCCESSORS, AND ASSIGNS HARMLESS FROM AND AGAINST ANY AND ALL LIABILITY, LOSSES, CLAIMS, EXPENSES (INCLUDING ATTORNEYS' FEES), DEMANDS, OR DAMAGES OF ANY KIND, INCLUDING DIRECT, INDIRECT, SPECIAL, PUNITIVE, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, ARISING OUT OF OR IN ANY WAY CONNECTED WITH LICENSEE'S USE OR PERMITTING THE USE BY OTHERS OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE FOR HIGH RISK ACTIVITIES. DELIVERY OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE DOES NOT CONSTITUTE A WAIVER OF THE RIGHTS AND OBLIGATIONS SET FORTH IN THIS ARTICLE. Exclusive Remedy and Limitation of Liability: The entire liability of Esri or its licensor(s) and Licensee's exclusive remedy shall be to terminate the Agreement upon Licensee returning the Data and Related Materials to Esri with a copy of Licensee's invoice/receipt and Esri returning the license fees paid to Licensee. IN NO EVENT SHALL ESRI AND/OR ITS LICENSOR(S) BE LIABLE FOR COSTS OF PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOST PROFITS, LOST SALES, OR BUSINESS EXPENDITURES, INVESTMENTS, OR COMMITMENTS IN CONNECTION WITH ANY BUSINESS; LOSS OF ANY GOODWILL; OR FOR ANY INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THIS AGREEMENT OR USE OF THE DATA AND RELATED MATERIALS, HOWEVER CAUSED, ON ANY THEORY OF LIABILITY, AND WHETHER OR NOT ESRI OR ITS LICENSOR(S) HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THESE LIMITATIONS SHALL APPLY NOTWITHSTANDING ANY FAILURE OF ESSENTIAL PURPOSE OF ANY EXCLUSIVE REMEDY. Third Party Beneficiary: Esri's licensor(s) has (have) authorized Esri to (sub)distribute and (sub)license its (their) data as incorporated into the Data and Related Materials. As an intended third party beneficiary to this Agreement, the Esri licensor(s) is (are) entitled to directly enforce, in its own name, the rights and obligations undertaken by the Licensee and to seek all legal and equitable remedies as are afforded to Esri. In the event that the data vendor(s) has (have) granted the end user permission to redistribute the Geodata, please use proper proprietary or copyright attribution for the various data vendor(s), and provide the associated metadata file(s) with the Geodata. In compliance with FGDC metadata standards, Esri has attempted to practice proper metadata methodologies by providing any data source information, descriptions, and file names to assist in this effort. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>See Resource Constraints &gt; legal constraints.</SPAN></SPAN></P></DIV></DIV></DIV> publication date: 1992-06-01, 2002-01, 2011, 2011-10-27, 2012-11-28, 2013-08-15, 2014-05-02, 2014-07-03, 2015-05-19; ground condition: 2010, 2012-12-31 1992-06-01T00:00:00 2011-10-27T00:00:00 2012-11-28T00:00:00 2012-12-31T00:00:00 2002-01-01T00:00:00 2011-01-01T00:00:00 2010-01-01T00:00:00 2013-08-15T00:00:00 2014-07-03T00:00:00 2014-05-02T00:00:00 2015-05-19T00:00:00 Esri ArcGIS 13.3.0.52636 1 -178.217598 -66.969271 71.406235 18.921786 The dataset is converted to file geodatabase (FGDB) format using tools in ArcGIS. The geometry is checked, and if needed repaired. After processing, the data set is checked for drawing display and number of records and file sizes compared with source materials. The geospatial part of this data set was extracted from the ArcUSA 1:25M database, and then generalized. Generalizing reduces positional accuracy and the tolerance was not recorded so the positional accuracy exceeds that of the ArcUSA data set. The positional accuracy of the ArcUSA 1:25M data set is 1792 meters which is based on generalizing–to a tolerance of 500 meters–the 1:2,000,000-scale USGS Digital Line Graph (DLG) source data. Attribute data 2012 Census of Agriculture USDA Farm 2014-05-02T00:00:00 2012 U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) Washington, DC, USA Census of Agriculture 2012 The farm fields come from data published by the U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) based on the 2012 Census of Agriculture. http://www.agcensus.usda.gov/Publications/2012/ http://www.agcensus.usda.gov/Publications/2012/Online_Resources/Desktop_Application/ ground condition 2012-12-31T00:00:00 Attribute and geospatial data 25000000 ArcUSA™ 1:25M ArcUSA 1:25M 1992-06-01 1 Esri Esri Redlands, California, USA vector digital data publication date 1992-06-01 Attribute and geospatial data 100000 Dynamap/Census Boundaries v4.0 TomTom Dynamap/Census Boundaries v4.0 2002-01-01 Version 4.0 TomTom North America, Inc. Lebanon, New Hampshire, USA TomTom North America, Inc. vector digital data TomTom® Dynamap®/Census Boundaries v4.0 publication date 2002-01-01 Attribute data Summary File 1 (SF 1) U.S. Census SF 1 2011-01-01 2010 Department of Commerce, Census Bureau Department of Commerce, Census Bureau Washington, DC, USA Summary File 1 (SF 1) 2010 The Summary File 1 (SF 1) data is based on the 2010 Census of Population and Housing. http://www.census.gov/prod/cen2010/doc/sf1.pdf ground condition: 2010; publication date: 2011 2010-01-01 2011-01-01 Attribute data Esri Data; Esri Updated Demographics Esri Data 2015; 2014; 2013; 2012; 2011 Esri Esri Redlands, California, USA tabular digital data Esri® Data 2015; 2014; 2013; 2012; 2011 http://www.esri.com/ publication date 2011-10-27T00:00:00 2012-11-28T00:00:00 2013-08-15T00:00:00 2014-07-03T00:00:00 2015-05-19T00:00:00 The following steps were performed by Esri: Extracted and generalized the features from ArcUSA 1:25M. Converted to North American Datum of 1983 (NAD83) by splitting the United States into-if present: Alaska, Hawaii, Puerto Rico, U.S. Virgin Islands-and the 48 contiguous states (including District of Columbia); converting each to NAD83; then merging them together. Created ArcGIS® layer file (.lyr). Created projection file (.prj). Ran ArcView GIS Avenue™ request ExportClean, and created spatial indices. 2002-01-31 ArcUSA 1:25M The following steps were performed by Esri: Copied the Molokai coastline from U.S. Counties (Generalized). Created ArcGIS® layer file (.lyr), projection file (.prj), and spatial indices. Converted the data set to SDC. 2002-10-10 TomTom Dynamap/Census Boundaries v4.0 ArcUSA 1:25M The following steps were performed by Esri: Copied Data & Maps 10 U.S. States (Generalized) and renamed it. Removed all fields but STATE_NAME. Attached and formatted the fields from Data & Maps 2012 U.S. States. Converted the data set to SDC. Created ArcGIS® layer file (.lyr), projection file (.prj), and spatial indices. 2012-02-07 Esri Data ArcUSA 1:25M TomTom Dynamap/Census Boundaries v4.0 U.S. Census SF 1 USDA Farm The following steps were performed by Esri: Deleted the fields POP2000 and POP00_SQMI. Added the field POP2012 and added and calculated the field POP12_SQMI. Converted the data set to SDC. 2013-03-28T00:00:00 Esri Data The following steps were performed by Esri: Deleted the fields POP2012 and POP12_SQMI. Added the field POP2013 and added and calculated the field POP13_SQMI. Replaced the fields NO_FARMS07, AVG_SIZE07, CROP_ACR07, and AVG_SALE07 with the fields NO_FARMS12, AVE_SIZE12, CROP_ACR12, and AVE_SALE12 from the 2012 Census of Agriculture. Put "-99" values into these fields for records where there were no matches. Converted the dataset into a file geodatabase. 2014-08-20T00:00:00 Sources: 1) Esri Data; 2) USDA Farm. The following steps were performed by Esri: Deleted the fields POP2013 and POP13_SQMI. Added the field POPULATION (alias POP2014) and added and calculated the field POP_SQMI (alias POP14_SQMI). Placed them just after the STATE_ABBR field so that all the 2010 Census fields are together. Put "-99" values into these fields for records where there were no matches. 2015-08-24T00:00:00 Esri Data The following steps were performed by Esri: Deleted the fields POP2014 and POP14_SQMI. Added the field POPULATION (alias POP2015) and added and calculated the field POP_SQMI (alias POP15_SQMI). Put "-99" values into these fields for records where there were no matches. 2016-08-10T00:00:00 Esri Data dataset EPSG 6.2(3.0.1) 0 20241031