20241208 16272100 FALSE 20241206 18045200 20241206 18045200 Florida_Counties -178.217598 -66.969271 18.921786 71.406235 1 002 0.000 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/3.4.0'><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>1111948722.2222221</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 Florida_Counties Feature Class 0 The polygons represent the counties within the United States. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas. In the states Maryland, Missouri, Nevada, and Virginia, there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia has no primary divisions, and is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products. 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. NAME NAME String 32 The county name. Esri Federal Information Processing Standards National Institute of Standards and Technology 0 0 STATE_NAME STATE_NAME String 35 The name for the state in which the county is located. 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 in which the county is located. Federal Information Processing Standards National Institute of Standards and Technology 0 0 CNTY_FIPS CNTY_FIPS String 3 The FIPS code (three-digit number) for the county. Department of Commerce, National Institute of Standards and Technology Federal Information Processing Standards National Institute of Standards and Technology 0 0 FIPS FIPS String 5 The combined state and county FIPS code. County FIPS codes begin with 001 for each state—use the combined code (five-digit number) to uniquely identify a county in the country. Department of Commerce, National Institute of Standards and Technology Federal Information Processing Standards National Institute of Standards and Technology 0 0 POPULATION POPULATION Integer 4 The 2015 population of the county. Esri Populations for the features. A -99 value means no data. 0 0 POP_SQMI POP_SQMI Double 8 The 2015 population of the county 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 county. 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 county 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 county in square miles. Esri Calculated areas for the features. 0 0 Shape_Leng Shape_Leng Double 8 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 xAAADsQBlSsOGwAAIABJREFUeJzsvUm7ZNd1JbZuf6N/fTbITACJlgAbQQV2EkWqqKJsVcOSrZFr Yrvsr8Yee+6/4EENrFHZnyaybFGdVRIpUiQlFkWQBEmARJt999pob3uuv7XPORE34sXLl0BmIhNA HnwPLzJexO3PPnuvvfba/v7gegUAVVXBdV35sf9WSkG5ufzbvlf/bV97nievleIbDhzHQVEoZFmG VjvE7QY/x8/bH+6//m+/ah7aZ30ox77voKocoOLx2x+gKkdmW/oY+btSznSbQaDg+z76/QNcv34d VVXixMlNdLtd5HkOpWKUZYmyTKGqkkcM1wN4yjzvrCxue36+E8j+uS/uNwgihGEo5z2ZTKAcBV5y fd2V7IPH4LiVvh7Kt2dqTtP8NsOtYv05x6+dp9lfVaEsM3Pe+nra87bX03EDOQ99D105V95H+3nl Tsy9VdNnwn5f/u0k8PjccP/Kke/zUHk+3GYYxvo5Ku0z5sPlBTTD4/kqF5VcJ48nhAo58nKCUmUo qmLuuZg+l+YnQQnf4/krOKqC60Rw3DaKsokkdYAohu9WiJwSvly7CoVSyEoHpXKwhwj3c3jm8eSj WbuL03+XfGQr/aPvjf0x98fcswc1HB6LOUZljpGzwB5vfsS8vNNRVrPneTYv7Tu85/Pbt7PhgY3b 3RDetKLMp5+p/7avlTIGQwyV/FWfKPSksMaUH+eEkEnhzT6vylSuQrPZwubmprzXajbl+5UqxJhp gxKgVJyknjEaeuIc/0DZC17J3edkVMqV46ZhKsoSnmfPSxspx3FlH0u3bc9zwXDNXxf9WxsV99D1 m1t45gyZNpYV+Fu2IudoP7t80XD1Mcn11YZF3pXFzz90bLwfcn52/9ykXJfSvKQRnD+3xetQP5+K t9+hIdSXuKoKmiTAyeH5PjKVyUzjtS2gjW0BB3kF5Jwg9rH5AIc1VvK6dknrhuthGdXCIyjHRwN2 H/dpn91lg8uiPRQ916cHWC2dFMs2vvjvukG50wNcHDxgvl+qyWybZiLWD7QstQeo3+fk9MwJcx3Q lsp+lw/14q4qRcPkIfA9rPTW5ZxdV18w3w/h+TSKLlzPh1vSSDlQMkv4uoTjHffEc/LwDnPH2oAU ZYqSHkKVoShoHHjM2lOdGZwFz+rQ9fKOuGbzExoIll7jqdGyxo2TGaUcE8+vMitfZYzL3Hemq399 i9ZQeXL9aKzEQzMeGY2U9eCtwRIvaephaEOpvcMCpfynn4HFc7fRgBjRrITrhAhcBwrFdFuuWyLw gUzuF5DSxRPvwBGDVVQ+1Oxh/0Am/HSmmbloz/1hH5VZV+wxW0/rfhoq/frwZ+6JhzWbIDWH4g7d 2bpxW2ZZdcgn08rYVPPbeljGMGljxkdCP/SOq41EWbqzlb/yZQXX39X7CYIARVGAkYwYNBMW8TNR FCFnyOfwMadBMdst6SFxPzPv5cjzEyPFGIvHzEnG8LKUkJDva8NqDJCcqwltzWSqb92GtdO/8XqZ p0dVNLQ8Lm1wl3mly6+/9XYYCmrvpII2WtrANo65fzoEtdsSL8qEpwwTszyZu97TUHNqyBxUDo03 f3ifK2Oq1JGGtv6eKhx4kQvfCVF5PgouKrLNUoyFx/crGihICFhUHkrHQ0mDxwlw/Jp8T4b45Ca8 MpHPXBg4//vhsWJK+70m/J+5VsYduOux6PXXDdWyR9afC1mmP/V/39kO3++wIUR91FdyO0ftis+H eu6GTl/XPC8z8fU88oDKMyEN3+N2tEfDp4cTR3AXrreOr6dLWRgMxkWeawxH78JOsvd33vIdThzB ifTEC0JfPCuXxnCKdYmpkO94Lv9Rv0Y0zSbMZdgK7WFabMcaLWsYdNQ3+z27vnpf+pAMJiRGyhoK u7LeQXjGz/FjDJ0df4qn2X2JRyTG2mJfMxxM1h9HoUQm76vaROF/7gJeurhvj0uME8L3IzOpKpQV UFQuStm+K9ssEciVKh1fGwxGg/x9nw1WffPWWFmPZXYf8NAPxWPXS9ic4bpXY95Q3S4knDmqC3+q 3tfdfK8h4aKFne7d/NslSC6v7cM+D0p6U6/DHLMYFUyPnd8XbMi156Of1ilomGtQmsaJ4Z/eN1fj FJMkRaHqIaedyLNV3hqWowcnKoMPjd2ID2GMr4RIngHXjU0SYyUHN++9TUNF2Y4GyPVxe1PA0t7o uUtfcf+LLrZ9ILRxV2VhvCu9XxqcaoqBLXsuavdP1jwDJ5iEhw3P50I3Y1DpBWtPc7ai0njzmhTI tPEz101xW/XF69D1AII4gucFUMoXLypXXHKIUfFH+2olvarKRV5p4yULDo3rB2QopqD1FLyuG+Ha 5x5Cy1Uu3O+6pyj35J6HgfPJhsVL8sBDwvpnl2Uhi2nAzGDBbF4wF3Nicgozr0BmvBgtvXxaLEt7 NCa0NOEIJ0VR5BIWMnFF/EY+TxC4KiRL6Pr2wtnQaXrEZuIfZ9R9VMS6BL/hxKJFol9QwXMDwE/1 x4wRtselPbwAFUFj4xXOBpMK+niYFJDvTa/1fJZVzNIS0H2WccskvNXgumMwqHqmuOZhHuHliJdU ze6JvvbaQNGgynZMDLHooVb0dMXDMiGpJB5oWPSsWMxI18+DI242QDc8LRXSnCGfg8INkDvEr+hd c5HwBLeyoZhrQkGiXuV9Rt0PgdZzodYdBTEPxVDia9t7dm+N651gVw9dlvAoD0s//NNPT70H+9s1 BktnnPgUEquy4ZtOs+tVnRPe4kXW8yAuRS9Hh0T0tgRsDwhm6YlEIzMLY5Znq445w+mPDmAkRWmM Az0Z7eEtprIt1aCo2UOdPJgZLp6T7+vzsLQBHmPdYB0G4eeHDbG1IdHeG8/Z3gOnSubuyaK7ro2i XanmAXq5lp5njPRRxs56qkw+6GlBw2IN8u0mBr/vh6EkQrKsQJJWyJnFDRzkvqdBe8IBEv/pEJCP B6kGfGq8qsK8Ob5/Y5ZcmDfAsoA+xKPi/8ztPTRHFzDWuxnHGSo7fLvq8MER99kuhfZAFzZa/81B z4SZOgte8ze9mdG4j067uxBW0pjMPAE5AF/jSPwOV/o5jhAnrptIuMNMmtgjTkLJ9mmukipmPDEZ lQ61JMvGhyRYXKEtdmI8L08hlZvhoGKMQOyjNOfoByhqPLQZx0tfHAky6T3VeEJ2P1NQuQzhugUc l5lB4lMxPDeGqnIU5QBymBIGEayWOJHBFBx6G6pA5K3Otme8Te5GZzwVyqJuwOaBSvkePUZzTaY4 Vs3ouyBPTslk1vvwZCUVvpTjIHQb4mkKZ814c7m55rzXuYmymYwgtlEQQ3J4vkS8gbTQCQXxvgwO 4jBEtkmTMkGhGJLqDXlOoDEwcKEAxs4ArjHSrvLgVATYffiuD88leM7nQsELfES838pFxryI56J0 HXiZyV7ai6JtJ4PPpZnWez2mIZTFZ8RrNOvhFEh7cMORaEIvdJInNnPBHhezxPr49XHbxVu+qzdw d/ufi8jsRZq9V5Co9jB5WJYAuHT1rQGT72W8d9KdJfHox3ouazkNSadEn9lreUWvyc5E673p92ch kv6e3OiluND8/uvXwPKgli0Wd+qW3/Y60CMTE2loDJIldMXQESjnosBFSePXNLg25ObiNnuEtEHS eFR9n3b9sx6fpTVMcU7yxJR+356rPTe9vmiOlyUk85jkR7bjIUny6YJWSlKFXivDUOPWPODxsPOs 7mbcbcLtzvaBh8tgMWSrM6eXhobHhAVHTdxl+Mfh78yMhAWL5bV4g3xh0XD7OftvY0AMa3s6wcy3 bTi2eB4y4S3eMwWq6+ejDWCdq1Sf7Med87Lrs3hN5sFrTm5SN5iY0JgfKQYaDrTeryWP6thgapdJ pTiCh2aPT1XpLEtJr5TGRQzkPKG1fn7T9+gh8fpU9LxMuApPEinErbiN8USD+IJrirFiplcnvx+U cZgzUvjoDecDZN8/lAbrqMlk3zNL7XQSz31+8bN3OGb70SUzliEvf6tNJpeYiH41zdRNV/26S21D zSnWZEtbTGZw4fhkckrW0BgtgyGZrdZ4ZtWR2dc7Od/Fzy/LxNjj1c4sjRa9LBpWhpz1K2yzmzPO le8Fh45n7rhqrHahLTCLZ6uMzPd57abX1lwbuQdwEVXxNGTR3qwu4ymn4V0gGUC5lkJl4DWfJkA/ 0LF4O2xw8DDzrI4bs6z8gznuh85gzU3yZaAwPYw5sH0hFXmbbc4+f7sP2/Bu3lhZ46FD+Vr4UvfC HALKRENs/tJmLmf/EdRnlkoxpW7xCxsaucxe2fNn3GUMgezPlhTNg+h3m9RYFi7XDew0+2n+xtpH i6FZT8smBGxyYHH7c9dfLeFeTe8T+VLGspiyJHs8OvQjZhWafduwkAaO4SPrJAt4QVsMl5Ta0Fjp JLAYVSZ4H4RtqBsmTWPBR244RyTL7vd44AaLoz4ZF+kNFiivhyL2bxqqnh/LMll2u8v/PcOjJMyT t2eGybWh35wRmZXQaIa6xXCWbJ9gtOSBF8/XeFnTDJ3ei92+/hcNw+HrMjv/40cdGzrKWNWNqCIV wISqArRLFk4hTVOkqYaqWbzteSSHuqisu7TEWGmcq57tPZy1LPLSkGZnx6yTIvq1Z7wqsHTHCSQU 5L1g0SwzqG4YCNBPT5THyQXAkDmmucsPYtS9qEWjPHdeH7JRVbenMd33U3rYip/ruMyycEfY2xJ+ 3D4Fehxfpx5uLg2rpnQAa4yM0bLAr0yDhVrGGlFyjls0583MXuv0vg4f547L7F+OrcZi10akjpEd VYB8+7HM2M2O1ZY26XOcEj3Nf8mEZUQFxuMU47Gu6+x0AskYMpunS5SW3wcOj9SNxZB5Si2Zx690 eZAxrqqAZygIyihI8B/yOblHrKWqpHSKRFEy3BkK6v2QcurdSSnsfRvTZwAf/lE9wJNYfJ4euMFa BF6XhS/HTVI7IZcB9u8tjFoA1g3wbENG6wVpXE3/u57xqh//lEIh/KIZ09sSW63nNnceNWNlB0Ou RUmXxWt3J9fmyGtiQ7GpwQwEdLfkm4P9G4IzjkYjjMdjoTJElIxpVHDIAVuoKls8psCWzJgSKEth scekC6J57bRXpD9Lb4qyM/qIStYH2gWFcZ4xcJTeSYscynVQkqAq2Jde9itT/oSaYsT9Hst4Vneb 9n/QozoCd3tQp+XbFbV+UMsmxeKEsa99U4IhrHBXTy7Oy0ajIWFE3JiBsgI2TE+0nPI8NDdoBkzz PU4a/vbCtv7c9If1ZTQfgVmh9fFYRvXi8c8PywOb4VAKk9nkYR0cPQIaGaW9u1CiNj6JxFO4sgfi jehwjqHJwBBC9aSX469l1wIvhIMIoRsjjKj/RQZ9iiLjVkJEUx2recM9Bd2tjgIBcEVpGp3J01k0 Hnd8OEw14RxHEOiQ0P5YnaqZcgLEGPHjnXYPSZLBcxkGAj/84Q8RhJUUMJNRv76+hvX1dURRoBUt VD6l1S3joMn5C6/Khec6CMiZMrWa1ngRp1JFqdUrmMCQDKBC4ZD7lQk3UH/fh8/yKd5vGrgohMdj Gxm9NYaHs6fWROv3WQeFu9VRfe35tMkLcwwPub0qTcJJE1uN3A69WvP3ZXNpPiP+XqR0Ds9P8uZu PxZ4WLczVodT4PMe0L1Ib9bT9nOgqzGknKjyN5Nx8WpcpzsB4BePfXGQHGnLbkhK1IQ+bTC5XpPg qb0p7S3ZDCHLSGxNnzXesxo5HVoeStMvCBQuHtcyYF1v2+hUSfhmZH+sQZtqci2/J1w0uE96Rvbz cl2NwWD4RFWKwNcTf39/X4QXG40WgtDDiZOrYmRp5DqdNlqtlmbXmwUnSbVe2bJzsoD8sntRpzFM XxtHrx5KyzELLs9FQBTf5NgzEeK7o1v/aDwEYd+9wu8OGaw73fi94mLYyV5/eO1veU3qrVTcWIqm TnjPYJB5QNl+96jQ6RD4PpV1MYakpqmlWfEEmjVbXJYfhwZMl5JobrDdDydUOS1ytqA6jaB809To 6QyWnWnHy9NUFT0Nfl6HkjOCkS7yFs7UHIdJY2J2u2mWiXfEH75nPS37HRtyDoYDUUC9ceOGfC+O Y6ytrWBtbW0qWUPDRmM18/ToRRVLjHGNQzu9D+b3IY+sljXl8ZkaxBk1fMa9UvTgpYjZQcJSKj4b D9iDmQfb5ye+hUAf9lEZZ2D6+p5v/70ni44a/qw+bo7RdOiD1ggsBazvYhy7PRYtM3wRprU2VvKA m88XRxzDMkMwBdHrXoAQDc17MjG0waLqJY0Bt7/oOYiki4RdLA+y+JmRgRFMiEbJSKwYGRk7IW0o tiwJcNukwFSBdN77qC84yzKhNDJyGWs4WP27ZanEq7p69ap4Y/ReaKS63TbiOIQXMJTTMsq0iVRI Ff0whoOyrXlJ7UUv0croaPkeLe+zeAxa8I80D4aZC0pLlNAQlQXeG0rDEGOjsGOF/EGi6mZ8CBN/ c2M+i1k3XPfmxGYcR7vNu6NDkBp86M35gsyjFC+nh4S7GXVlANlbrTzDprVZXSfegMG7pORPCnPv fN9HeVla7cECwMSwdObPUg4IQluOUp24Or+SWjLpjMNVD2sttqS/b1/rDOCyMHDp8VsNrzl1gcMG whpl+14URtrwFrZeT+NoNE4M/ehVJUmCwWAgdIVer4tut4Mw8uC4PgpF9U5eD70/qzcvFY8170ln Ao3HVHt+pAbUeISy6GlF8DlYwRrxZdLIZaE1ruSqubIVZJWPgsZTC4c9VB7Wh3VU95l+ca+8LP+4 CV0XcFuOYd3dyR0F6tthPRMaK3mw5c+1Up4jsJujjMDieWoPy6bbdfihQye+Q1A4mvOQpsfKujqj kCnfFfa3Lh+xoSUXg6meF70ERpaCbhrDK5XPh6/v/KCnxt8UQtHYkeZ80XjMmobUj6++HRYqW++H hopGajgcioFi1o8/BNJPnTqFlZWehI5FQUM2Ei9Ky7Iwq8mi8HwK+NOTZKG8P9UrW+7t1UO/2f1a /jl7nGJYDU0kZyWEfFyLLJYe/dsKWeUh1+DAQ2Ow6uPDkhysZuHFEYbl7k5ktrnlXtZ7vU5+nVFd /21fl7bJQ23MG7S7G3VDtYg7iUGRCau9E5oTAWaNcoEUJnu351kdFxLq87dGz+JYNDrEbXx4COcN linFmWFBJmNnG1zIwcxuCDvK1Fni9vVUv/2YO6Y9QH7MZC+NgdCGQycN7PWxnlz9pujsrT4GelX9 fl8Mln2/21nB1taWZHU77baoju7t7yAvWANIOgE1w0zDjEITR/1AnyffJ2tg+SJjFgTLwyLeZhQZ 6vfL/tSvqYSv0zBR4350phgGMgmTe67RZRcSBh621P+9wnc/6FHVCLsPq5flL/Osjpv493IsYiuH AFxbpW85NpShMf73+z3p5d6YbVahM396EtEgBTUKgAlb2XrKZBitJ1AHvq1qqNWmqp9rXX1Bh0jH jGrmhendaWqAsOfZLaYGYk8N1lRRFIJh8bhooIhP0Wjxb2xj1m630Wp20Om0kKQJCpGG1qKABNcF kC8ZErJtm6ZYyD7MTkV2r5xPSy9idZSA0cbIeFVW437ZqdYXAkOYZXazZEuuwhUfU/u0RoNLd0Z7 KHlKH+ZR3bdzmXnbM8/tve3Lpy5UnTsjm1roA3e7wWr96QpZ6geaD7wI4i3xzg6dguchTRLBozi5 Qj/gUjrNTBXZHlbbqxjtHsBrdZFFLrZHe1hrRmiwG0pWP77Dx5oFnNTGGAm5yvC2TIgZlewRqDNd XhxRdAlVoYX8AgroFZxwxM0ICBulyMqDT5E7egH52PBKmdEstaKJYa9zcnpCktTXmBPM97V2Oj3X LC/QCNZQFTk8RyF3C4yrFH4Yo6liFAcToF0cOi0JXWu9/eTMuR/72nYMkuLtWVONlZUVMVSLCwSN leQHDLmT90G/1roKjGV9KieQSGb2xRH5jTnvyBomqoZqPQYy0cdzf697VnJ/GP2Jt2iSE34Ex4tF l6vMHLQCkyGMAqTKxbBgzaBOcIhQxILaxb0ehPuFVmEK1XnZJDgtmcCuJToWoo6HxnypWsbWFm7I Oeh7wXkwG/YDM/XY44ZOOi1iebd3Ju7GD5rSGvSGDnOAjvey7h50F76OeaBpPGiw7EkPAkeKWLPA QxWTzRzC63UwrhSGwwHcpiaWHjXEG6pjb1OGNbNTFcb5UATk+Jkg15yl3AgJilCc09HguUivzHAz jVlR8XK+jdZMqliPSVHCCUPJPtKAE+DOjHGO4zayQntJTIYFro+4KGUyFNQjD2aa5keNo7xhe1/r ahj2c3MhvVhYI9EiHhQF8awSpu6jWN/e4oM4TWKKoqelppjGFobvtRj214+ZvQP1P4zBo6KDeFQM Q11kbku61nLR0C27DFlLOHkPxjB8hJype55lvN+epjwt9iGqr7qLK+FtDvmuDkAM1BLQ2CoCdCoX cekioMzLKEPuZYjKAk2qX6oI6THswdiA6BzC8ZHVg/ND+OoS+rC0Q+NNmkMUCovcFXlfP/MW2p2Y SUclRMliHd3QVGNmJjHhKITk52ceEhb8Muxho4uQ3pou1fEryqn4yHMlSqdVw4e3YHCOGnUsyA7d cdmA5Aues/03D1/C4Dn6BA3ErFlsfSwarvq51jO+1qtarKRYXAR1LaLhmZHbxmYaTCboBmkYG112 yvQUcJFLFYQRmq71y7vfY8pmr3kSH1as6sNsvI/1sI57JO72nk1JjNMJPnuf+88crvEFmo1IQrIk m0jrq0ZA6eEQeTW67fazIptOKN3tjhk+i7EAE9H4NXwg6RVIuoTx/KoKsZPW8CatG69FQ3ROEU1T elSrj9OsfAOoS+mJJn96rMOLW3DzQOgEg/EAcaMniYM8L0S314ePgI0UuEliSdJ66+ihcTZtYHXS tiYUSOzrjh8oAwhN5Xa0obV6X7U96nO0jHTR+9I1c/W241MFi7lnxGaFZkaL2Jp4eK5pTsGCZ4dN bInmezjISHdg+OWgFGNl6y0/eAjL4pL6vB4Zq6NwvPvpZR1bGbq4wi4OeiV3dQAmJGDoo0M2M1Vs OOFX2N3ZBbwYIdnaBZnblMZNUE5yqOj2HkgZzFjd9jLSOAoR0mc/wK5hpFPBpNRyKZRzF4Y1V/Wh JpNad9ewsMm6Fw3zTIPKVvdJiKI1wyV1cpaN7uvJlhlOFDOIraLFCmGMfeJxJXxieATaBf+707Sv BbJnReDakGmG/dwnD5FHLYYx40lp7apZo9PbDup9iYzMfELBEkELGmIz5kJRcwyCoYht14ujZDvJ T5Mr7Ot6SRorad1lP6tVHOaYjvd5zK6rNcSPDNYHFQYe8rAOc2bmXfjbj7u/cTRMpcliEXRvxY1p Kr7402/itb/7e6Q3bsIhyxoV4nYbZaKQ9yeIWsccXVdnySTHaE7FN7gZJ0vVWJN9skaxyHKUeSGv fTPR9zCeeYDMUBYM5wxADAf74755rb0s/o1Gzxowbo84F7NdWUmZlrF4eaurq9jY2ED3P/yPcM+f g++FGAUJWlY4kDVzZBzd4cOwqHllx+2K2zUeRwNlayplS9q7rfG9pt6U/tbs2hqsSiuJ2tpEW2Zl M6uzhhOW6qD5a3qwKHzWpt50Y2WHbllLXTTdCqliRYNeSGzDM3pdvNYPwmA9slX3lqrwvjCsxULd xeYH93PQW+rv74tqQBSE6LbawrqmAWv8089w/Rv/Gf0LF4AqRQqFpt+GU3gI4KGNWRuqZSP3tDfE CUkjwE7C0pdOV6hhBxniIBa8qkyoDpCbZlza9d+JBQXTFAZ6X+aHxorv59AhJ78fGCKjI7gWuxgb hU7+53gy6XgGfOLHzR4O1lbx9jPP4uk4BM6eRuGxls6FS6mnUmcYWat3u2FrARezcHeS5ZUwudTH L23i5fPaUNkORrNezFhq9ArTYk3+MxG9rgcsJSsbmxKlRc7VbBu8YrySM29Pq65qD6vl6Qxiyawh 76fF3CXhO6spvV/D0ltm3uu9bW/1YR/VBwxiHethkVpwPwezZWRd7+7u4vr16+LBWA+LrOyLr34T /3DxdaxVwEoDGLKRnBqK0elFMbr57Q1Wq+VrORo6C4USnMovdUhBT2ocVUCcIvR85F6BUnAko7JR AleqREvbcRuMBtkCzPzdYihc8ZnwJ59SVgDOo3Im1ZvQxlWQhlqBUUPpZ7dw4eotDL73Q6x+8hk0 zm4hpyAdM4hCRwDYoSw7LiSvSRTXPZzFRMrRxF+jAFEju2rvyjSLX7KC1t9jLaLdpv2pG0+W0Mzx 6ha1y+TrGgfQn9M1g57HzGoApxjL0UyMeoY9dN0u7IPTm/oo8aw+zMO3Ery2+t8O7XDph28u61Ub GmcqamHH4bpATijpdWb0pSRUID/JSHkP9vuyWq701iXjNhmNoYoUWTpCMqFonIMXWusIBnuYJAor LtBSIcYgIBujEyXYTYAkBHZJWQqAduwjPWBOCXh+WKLVaAjj2qFUTJGLyoJ4Q5XCiaTCmDaPul2T CjEUGvAxRk68HFupg5u+h5sxV/USXVRoACDUPwgAdrIn7aIbx1hpdYQbRE+xPxiL7yfG0pwrz55k cQl+GPl4QPi9H0B95Z+j+QmFtFlhHPWR0jCT6eHR86PeVoDAjeE7sfC/eBxFmaIsEgyKLmIMEVdj BE6JzKNksA53XbdEULV063lSBTLtNVEEr3JJ+szRJ09NVfDIhTKcncpzkAds5uCAFkczCXQdofzQ +yIVhN9zdSWAxSDlt9boEa80aXk4uHwd5088hoxSN3GIcT6GXylM9vYQ3soRntyAs7mGURBKv8BI eWjmQJDlyDsRfWokfdMGlxwi9mv0fSQTF2FreebS/l6spV4c0+TooZ6O+vdI+uIZHNDych8mntVd jsIC5uacRRO/Jks8h2NOF7UHVzvp389VSK+2xuMwQLewvw1WwvNvtlfQBNDureDkyZNiREKfXKAC eZr5bht0AAAgAElEQVTglh/h6h/9Fd7+07+ESkcyqXpwse846D2+gpPv7oEwFlVghtxV6iIqPKQo 0BCZvwBx6QllAPLw8T0GadqxH0Uuxuy90mBTUIUizRGQ6sDOVy6wUbLpge7YUgUuegqISyCLgHYD qPq5JAOiMkA81sY9LiM0vQpJkSE1ngFRGX3W5IebcEY52Gtu4wquwSt3MXJaaJcuojRHNC4QNRwc SOlPJSGi75DAycVBwaXBKnM4VQG/SqGqiTSEnTg+ElptE1StxxQQJMHXg9Ok2gG9vUIeVOUDW1VT yos4JUng1F1tSiQGSGenXf28GsNlH1ihdVQYiR67kTC0hkLoITqMVlkFv7MCJ4wwSsbo0qG9to+b 3/4h3vm7f0Tz1gBr5x9H9zPPInr2ccSPnUa4uQ4/bqCKXJR9SBfnbAKoMAKb9LAgmgteGM4/c8uz 3Md7YItO2lH1gY/Ggx/3xGAthg0z8i9XOIupWJ4OJ5zRZaocDIcJAo+cJy0yR0a1GKxSe2cvfP13 carw4V6/gZ3XXkO+vYMuEvHaAm8iqqRuxTXYR0c3IBcMKEGGlhfjAjJ4RSqejuA15qTtM5rxsx4Q sROzSsV4+oJk6bCxQK6Vr4gnwUfqad5WFjhI3QotKl+K0mqFg5EG6IMoRMmSkkphvUzhOy5CtpWv ZfGYYRRy5u5NJK+9jmvnPoHy9JNQrSaQJoizhK4kiog+B81licqjO8eux8TiNEbkh2PxfpQoTXiI HV9+pGEDjzvL5LycIEQUNyVpMZwMkbJWkHSKsaaI0kukTjs9bscjs1/3+qNWhdxXEa+g0eL981G6 pQSNrOVbBilIOMhsasYmEx6GZYnEddDNMgxe+SUu/B9/jP7f/wD7SLDXXkXribNoPHMO7efPY+W5 p9E6ewphr4OyewrBegTPjcQj5SOk76U9pnmv6vAz+f5CxkfG6uEc98zDmmZQzJhynyo9GYgXMY3P tThneCJTEEiNpLCk4KXkQSHNC625xOxhs43V3/giXhineO2bf4PRKz/F6Ge/okAyhrdu4d1WheEQ 6LgFInoywoEsMSoqNIMMN0rNYmeZCeFr7icw+QU+9Kx8YeY99TNGi3IMNDRiWitg26tw4FXYR4Yc OfoswibrOldIKoVVV2cAi6zESKXigTToBvouhirDRgmEVYmIhbqWHsGdM8PlAPGlDFf/+L/g+jst bJ97DtHaCiI1go8JOu0G/F5PjpUhHvcTRgHC0BgWt0Lg5iioFhqGaAYKq6HCqlOhIZlLD06vC5UX cKMmnJUePNYIjocIVIooDqC6XV0YrUpkVQHPtzgTQ8YS45CpCTPppR09jTgjRba0L9FMalQKCxPU 9Ns7YYyc55rmaPgxyv0B3vjJq/j59/8BZ5HgGiVjhjuofrYD/xc/Q/M7G1g9cxrdk1uIej00/qt/ gXO/2UKwfgYJw+uS908YcIzgqY90ZGKono08aiyprKl9/31MhEfjwxUSLjKgtUCgphWI/rtRFqB3 Rc4m1Qf0Ws2Qx0XgaRDX5yR0iFP5iDdOY+MPvo7Tz59C8u0f4JX/7X/H6jBBPEww2YrRnyQYc59l jobKBfxmLq6oCqx5oYQyJUopdxEOjzlrTrw2wzup8YsxxkgHil4ElBPtebgQzIoFuLlRv2TdX0NV aCcMtXINkheU7dXGiIaTJEfiZLqnCw2OLt3VtEziPOxUDGRVE69eG+Dvx6/hzZ8PUTRbcEvGP0OE oQdnYEAYAvq+q+stw3CqILrWaSHzYgSRj5PBBM8623i62sWGyhEyabDSQUIqRqOF9uYG/DhCXlK3 XaHVbqDcPGFwSq0y2uu00G420AgjHdKttE1/RS3ip3wXLo1e4EqEXXFFMmEgqSAOS6i4GLF1PHlt LpMNvtA7GrynRYm+yvAWEsH0bjV1VsIrgFAVGGxfx7XtG8Jq55mfL3KsPf4cvI1TYJcxctk6BApJ VTP7ts/e+xmPyOofYw+r7n5PgXqGaNK11wKzDBMps+siKx1MygphpRCwyQJ1JU2xMDyqXQZouU3s DHcRrrWx8sXP4uDGHkauix5X18rBY6qBdkBz5GDIiQigIzgX0EqBnqMnmrCaFJXAK3jGBvBbyg0w CV0UQYzUmQj1YKToAeqMYIuYEiq0Zcu6vVVEJnbB88qRliW8XMuwpCZICqpI0vCJ6yMMDsQjYNgo 9XrmMklG3nVx6cmz+Pk4xo9Vhp18AOzT5ZPKWjGpcRUZWZnKkF1Zf2faf1ET6o0dTLymNGx9Ajcx yX4FjN/AaLyPKFP4ARuEcEu+i6DdhhOwML1A6DpoRj7coK3rJoMAnW4LG2vr2Or10G40EbAcZnNF vLuQ9yMM4EQRyihAEXkoPQfjXkM3hfA9RHGMqNmAF2gVV6FxqAKra1twwiactXV0Gg2c/eTzaD+5 gWtvbqM9lHJybdQ9hpoeRmWBlB6eC2TvXkKcpHDCAF6hm1lwTUsLhpw5ItMVZ9liWa+cuPPnuP7z 4e9681Eb983D4tAPDdPZDIWY59e8HpZZFMoXPSOf3kLFsKpEHCj4xJLIBDfa6n6ZIUaByV4fq7GL X7zyKpyDA2FJMQBbGwBr7XUEayvYpc7TZIweH//9PuKqkOLnUMJNw5ZGIYC7qfDTIn2ejwFF4aDE UyOgOzIe2IZoXPL7pXhMrDMk5taikS34HZ637t9Mo+awrRX35Xlo+wGydCITnuGwYC+mjIWuG72s fP8m3CzCqu9JliwpE7gqhHJCSRIkrvXbdK2dtgS8bSIdITpWym1BeSGSnGkHF3Gu0EhLublPS6LP Rep6KNMMZZrCoY5VWcJnAsEbICuJ02ke1TAIkXs+vDyXkqK0wdSFlkl22FaeBNjQRxq6yD0Ho25z yngPG7H80ChKl5+yRNxpYO2pp9B+4QU89+XfRPfUSZw9+zieWTuLEbYFM6Q3zLNUXgUVKISOCz9o wI9CrCsHUZ5jnJNv0kDkAcUoR16V8JqBYG31Lj2LEjfHZQn1c2qf33s5Gx6N+zHuS9O2OqZgylTl tU17KyPGxhY/qRCYK0mlMyTUALamP1CiN092sL7SQrk3gre9h6vf/B5WUaLjerjpAJPJGOsnNrH5 9FOI8zGGe3uIJwly8gcGQ+yGOeKIRc4+2FU+T02toMGouhJtMdVPkimQFIAfuhixCLkqMaCKQlEh KCvEoUKzUaHrlsgzej+U0NFt0nmGHkmOQS4E0IpYUBTBOSgEKTaKLJpUSSzId8Ur+fTFPnynifba Ct51U1wvSwxQoO8BB7wGga61Ey/GC+AyEyD1fQyJXBROH2AI6/lIBasjSMfParynaVqh0Whp3QUm NQJ4LL0RXXQK+dFD1Bwxclgjejdk/bN4nAaXGCPbocGVfbAefMRIjsfyNs2oppemDJlprBjq0tiV JQLPwZXn3sVmBTz+5S/Id51Jic2Rg/No4bo/FhyqEbpwI1+HeZMM0ThHgynBlQn629vYuXED4/WT WGnFgsmxZKvV9iQ1vMjtmhXu38mzej9mwKNxvwYTTsZ/0FRBlt0yPPOQybtetSW6P2RCi1wuAxRi UMJJceGXOjNGKRZLV+EDxRlFT4QALCeb9JvzqBLpIyekXLoYSSq8lHCmdCohWDbofJj6NGa4ulWM g6rC3toqvKTAy//df483RhUu/ugfscrJVTaRxj1EX/kSfFXg1M4Qp0Yp/vEv/hS7KHFqMAY8Tp5C JEtcEaID2htrOPeJZ1B89atQl25gdO0WXggjrGysI1AKe2++jZ1fvY3H9t/BWAET5suCHvygCeUX GAQj7DfGOLWdI2rGUK0G9vrkQrE+0cPNg12UrRDdZgfVOEVAzMsNxENLctIQCKJH2MEYW9UYnx+/ iycwwNvtx/BG6yx+6W8AKsKK0xMDQK0stmSXsp+MHCUXTuGgW45xPfol0LiJ88NttK5dxeV8gBFc dGhEwkCz5XMeA8SjCSsIFYSr1Q1SExSw7wCEyyZJhqDRgNOMMB6kWFVE6JgiUYi5UFRAr3BxjttB hd1WFwUbrHLxqHI0V5u4sdfHCnRdeJVXaN3axdmogY0zGxg6KZKL76A/vI5L7ghbyiQikgpOSl0w PlMMd+lB5th74xcY/MWfoRjsI/mNz+JCbwON/RRR08Nb125hI20iZoVAOsRgf0+ezZWTj2Pl5BPw Ot2FNq+HhzRcFdoNO/JoyEJrRfFZ/wgw2t35qFimrYk4+MKqwOqqBn3Ocu7W+BPEPYLqcSfG/l57 rb7rmPWROWM5UF96vhEg5+F7LruU6AwbjQ+1nKRriWll3g61iNuytDJ/RinDMBIyNfZAw0RytCgm aIRbJqRCgYKif8RTRUmTLj2XfRc8xjUnRnd9HYO1NRx0V5F6obSwGpzu4dRnn8bq808gubGD7Tcv Yfz2FQkbVpor2D/5JFyCy6FWDg3kRErka2sYnj+HYP0ctponsXV2DCdPGW+g2t1Gr8VqmS7evsFQ BfDaEfwGqQkZnHGCXkKZGxeXuy0MihwBTyqKETB7uD+Q0PJEexOvXb4iDwmnfVMlYtOJzdCjRFVg CxE6KLAxmWAluYLViUI7a8NtbOIdp4V+fFV4UySGMaymV6QUrykXCA/95ARQDbFaDnB66GEz1yD/ TkNhuwTijFdfh7XMrAqeZX7TYIWFNmJ0bFzloiGihpTzoZEG0hYzFhrTyyoHYwrtCQO/kooBAoLE wBvKEUO4NvHRzBgeA90ywJ6TIztI0bsxwJndEipJ8NYvLqK6cBNbrNUkkC+eqpazIXGfwom+1BMC e26Kt25egbNzCzcvXUJ6bRdr/VIyqJNGircOdhCT5JqNMR4NEIRNlPEQbm+CZtCWRMWjcWdDz+HD FmZenG9RYgcf6PAdh+RDTzygouI6qnlSFPKUlc/RrcZprEg2lKp8wYO0yAo1nnRlxbJW7cCA3X8p E8NMv6gPU8hOf44hIDN0NFip8oRtTSsWu5V8lrjPcHCAQQI0V0LsbR/g9V++gbev3wSaXTShcOb3 fgc4ewI/eeMtvPP2JQwvXsO6Ata/8Hk0OhHyZ1+C12kCjRgxuUhOgCLlTA7QPLWJhJIy+32Mr1zG 7o03sHfxDahr76C5t43uZIKev4rMJbO8RJUNtH7TJEOW6/N/14+xOxrBTTJ04WDLa1JlS7KD4wG9 VInQxADQSHCOS7ssNgLNclz3tqBUH42qRFxVaJVXEWIVKtrCOGyiLwxPWhiSwoTrLYYKbIxKRdSy DTgtbKoQT6QK54j3AThgeEtDEpK2UAg7nVVBviF5irgeMaxsLN4WB71AKiXErGMsCjFs45Ik05ly AzN+AYFvQ9/ncbPAmR2sSVzls5FOi5fY3abEbjZC9cMfo/l//gmySYLdf/opzx4brS5uCoCeI8kz pLw6JTFGfYxcMhmm39jbxydW19F94jwOqgjrq55kbns9F4PVHBFD4CKTyojK89FdO4VWZwVhw0Wp 4+BH45ihw+rFf5vayWmoPXvP/vv4rIZz72sJiV9wKki4puhR0bLo+C4XiWASHTVL3abjJcRj6QIz Wrch7gmuIo9nKaGWY7ZBL408In5KJKmM6ZZ+gL4jHllELChaQ5qO4BYBcjSx29uC+4Uv4kz821hp RbiWcfJsYDAscPrZl7HxhU0J61bOn8J2PkRQrcNpNVGGHiI/RMMhLpZjTIZ4t4OOSuCPU3j7A+S7 NzG8egH7b72Gwa9eR3rlMrJXbqBI+3CTA1Ek5fGN3AoHIYNmHzd3D8RzYXaeuJyjRliLOoxCKTeH Z4SXRe0u4ku5LAiBG4m3MslTOH6BDnOLVBmlF8Nr6/cR+ZfQCYfojSP4lC3OGM4WEvJkQYiRO0Hm +Rh19uBigJP5ECeCCTbFnwW2SMXPXWRbsSQeKhENZIhfyQJCLplI4eQhGiw0Z9goSqiBhOWOua8n ElMMTRNCcqofwrUqoWwGkfXlmaURHjK0jAq8zRbyBMWdCU5kEG/zwhu/wOv/8T+iKkqccXyUcYxd YosDrdKhFdv1c2i9dz5RrO0cXb2FVfhon3wMe3EX3YxaPAW6aw10kxRx5Ms9yPIERc7nJxBlWpZc EaR/NI4eet4uNh6eCRTOK7fM2AB3WkVwr4dfsscbAmSV/smdUPJhtuc9i1clDS81Yvofov9tTowg 9e2Kp5kNk0e/Ivua7GxdaCvGWcADzaHMqOPOC8GLVOqMlWBmUYj9/QIjZt3WT+LMv/59+F/9Grqh j/Goj8d2c2yeOYsniRGtrcuKvJ1M0N9o4EZ/D0/Qf4gDFC7T4K6UozDTpdibL3AkO9gMYnTaXTTO nUX84mfQfPk3Mbl8Ddn2NrILv0Jx8RLSV3+Cyes/R7pzC+1uC+eefwZrTz+NJ378GsLAhZePsPvO 26gGE/jFELlTIWy14B4wXCIGRIOr85NsLUYGuVsV6OW7pmzHk/vQSGI8ta+wkl7GrzkX0UgTsD47 KrWnyhB6zIwiNcF8F+/4n0QW7eKsu4uevy91YFxvOm4DnSrArcmBzqJlNEikjRB61F4bN1c0WvCb DVR5ijzLEUa+yOAwy8cwlqZJ+3UzRKeo4ZhqkosH6VHHi/eP4WoFjKV8B4JlUf6+SiaYvP6mLIP+ +SeQ+y62d/fFU5LQ1ISqFmOR33YOHSTwru/BPRggj5oYhxFKwhBNB2Xqgs8w8XnXbcHzGbLqY9Da 8x96FOoDG45c93lP62EbflI2pb9bjhBZFYmXRQTL3mc+CNKHQIqXTYGkERDQeL0WxpujvFj3Uvr+ mVpCATHrSUmtb8RJq1nSJFuS3609PimcJmaSAwk9vxQoubBubCL1NpGHzBCWmJxTyJoBJnsZ2qwm oafixtgMgdbqKpJ9nd3SjUQdxCoS1QXbkMJpsgwowKRwcVACaeADJ06g/dgJrHrAfvwVxNe34fzo 5xh+87u4/v0fIN/ZQSPawKrXRe/TL+GdN17D3vVL8NIUbR8oVIW+IvymUIYOUvLAHAdp6UptYa7G SItSqJOXCR3yyhFMhyv1j53hGOcGY+bkMDATOjA/DJ87rBekmoXj4Xz+CvrtAp1WiXaeYuQD46aL BtP/eYkimei6SH25p2ZHiBIupBA5rnwc5An2swwpWbdZJl4vsa3rJiMpR6kSKJWgpOcmUaoSHIr1 gauViy5pH6xzynXzLT4ZLZTYyXXB+JqR9VktaKw9dJ0WqoCSPkYfwhTiawOrM4+R5utD3bgJdzRA t/24pADysUcnC72Ixdc6Yhb5a1FfBWIql5JATM7Eo3FsKHg4JKz/3VQTTB2S+e99oKB7qlhfxqaU vuhl82EQ3QVrsKxhsidg5IHtkK68pl3VHJ/FeGXUn9Jdkc3nTS2Y1T7yKxoUX+SAhfVOb8t4XQSZ Uw/orkayAhN6yhIqSpVoqiaaTU965HElD5sMVYwaZQocbCuUkxRRz4cKfSniZcZKmt24VAQIoUJg NGT63EMcuIhYTKuAcQbsJQrDssJemmFldQubv3MKm59+GeGXf4wr3/k23v3JK3jjlR9h47nn8O54 hOFgiEamdE2e5yNwCq2w0Moky5rLDQ9QFiVGZOabRAb5XlJiKXIOYzSdRDhTsYnTdxDLHdDT1zRP FUVS+mUeNnEN7pgE2w5aWQxVKPE+Ui/DxEmxxzsobcI0y16niDxJbtBDaiRa/ZQY0khwAd0th0oT /NbQWDfbs5oHnbtKDAR/mImMGe7S4zIcqCZb27NkiTSVMsd+mINgUrtkxlJh7NJjdtCLY4yoSmHo HkzEiDKWdAAq4JQKoyJHS6W49ObryC9fQuvF51GpAA16UX3AaZoONmWt56N4mSSz3hfWzkduOCYE XPZvPaenk/+Qx3q8wbq3FsunV0VcpaCxUroiXw/tRnGCaeliraopvCrrOdGICDPPfulwSOiUmocE l6U2xlvjH03yxudD5ipp9yV9HkzGSjZbuRiWY/SYqcwYojg41YqEu5UlOcKJL5OFX2AjB674AzeX 1l5e5KK9EiMd6h6CEiJUlazK9MIS2a+L9WYbzgTI9sgmB8KGhyCqEPglvCLH+aKFGwPgEt2b0yto n/gKTj1/GidfeQbZm2+i6p7A+d/6LMJbN3DlW9/Czk9elSyhNPrMPMT9RDSjfN9B2GwjJJ6FEhFL dbwAa0VbKy9goAmUnkISOhg6LYwKH16xK2C9eDTCHSMhNEdMfa3KxT9VQDtioqKB0yU14F1xKzyV oVGU+KVHaZlZ6ymrgsoycIZ2L3uMmEMtYpgnCKIIJKW5eQ6v0UErpZCPltgLDDufhoUkWyJyHrEu enz0RvMKg1jhVkite9Y7eti8pVCebAu3TQ0K0T5LOhWu7o2wP2FG058y5Vkr2YxiRH6AmPQQMmLK 6whVjCvXLyF961c4s/MZNMITWI8aYAJzwCoDkYJmezmjUibeJPFSo2D6aLxv41V/b1F+Z1GS54MY /u6ta4gCNsxMkY4ncPwA7dVN+O0VMWR5OWsHbh96DkuElHbr07PQv6bmS6AZf+7Li49P7nQMe3tO bshuAR2nKftKTK8HcUv4lzCQSSyDM8lMqxABQtOEhbaSZEtagoYYWu3BSX9AGlEFFEypcTRr6GzK CamDsImZA+v8Xt+c3eazcH73WUS/q8MmdeUqLvzJf0LZiPHSZz+Dn//oFcHMttUAG6VC2Gjg1mSC bpJhNWrAzTMUAdAnmO4mEr6QuSC1iwyDC4WB30fVDrCy3UKCEQ8J3a6DnYMK3dNPo/30r2P1qU+h ev0n2ClSJHGAvU6E7OAmRr/8OaLt6+L9PO+1cLEcgdV5fhyjrQAvYzAqlcOilJoMD9CtFHo+EPf3 pV4xW21h6BXw80pKnSKUkgUkNgXp5lPBEZeM6hgB4DQQNXu4OUyxS/B7Zyhe8RUa6Lf6REWxw68C eHw3RTUqxUCPSHhl+7MsgZslWC8GOB01JetK3K3cOINGleLcZBcX//rP8dS//DqubQbIY6AzZPhf mLInJlF1okCXYrGaQtM5jhtTkqlZ1Eiz0L0fH248514OiUz4I/+YvS8UpGW9Bo1kFJNQOhmnHQzr dNiP+nEuuCYb4aqSibt54+dpIugdD/873/rPaDZ1yp8rXGd1A5thC73GioRPxzLvPubjYn+I86e3 sPnZz+JXb7+Bn/7yNfT9GOurK2jkBZybfQQGw/FLJhSAyInRCmOERYa9dIwOQ0cKHTIHz5IleoxB iHZrBdGImU4HeTIUY1VtreAz/8u/R/f3fx9XNzbQHO1LKzS2HWtnCuHlG0i+/0Pc/Ku/wc0f/Rg3 R5fwuOPjRbeBcZLgQFYNhqzkVrB0qaF5ddIMkWI6gDP2kOWuJFz2VlqCA7USrUSq4gB+FMDPFBx/ gmZBIZ8xBu4YQ9Y2K/KvNNi+jiYucr2oHIyqDAduhYEiBuchqahJViIsmWqoxPBzsvSUj5DEN5fJ nwKj3au4TNUHkn2dBsIfvorNr50GnI541LbD9IzdrqWMRNeL5UdGkfXRuPtRzxrOVbPYLMncZ2ev 9VfmCajvd/hf+sLLRhecLa/Y9LMJP2pL6MSHj6v/o3H06J5uSzJg7fO/geeiBm5959u4/mffQH7t Gspbt7SSg1sJN2pIrkNpsngs9FXAjheh6PYkOyedalSB0aCPyXCCIN2Bu+JhLWygOQnQqzw4W0/i sac+g/Kp53G1HONM2IHfjFE4wB4xpSefRvtTv4be5z+H/VdewWN/959Q/OhXUNe2scnj9X1cR4mk KBAjwM/DUoqY6Y0QnQ8p2kcVsJzFOCVS10Gv9NAtXTQdD2FRIU4qBGkBr6iE60WcniB/mEJIo33R IwNuhg5eLB0MHAe7Bg9jBrKdBmiUTdEwu449yZhSw4u8PPLkxJT5LrK4iVMBsDscS4lR8+oOsv/v 24g/92s46Hlo8ju+Bt2ZUNETQicJ6n0SH427GxbHOlpuWxss6znVP0bvSvO3Ft5/n6RT/9defF4m zjgrcZAWyFSAKmyA1RG23vbRuM0FLBSu7U3QjFrY+srnsfGJT6H3xHnc+Ms/w7Xv/j3evNCHU6Ri 1FidNyhYigRsuS3EUYShGqM/3sZobyhk3WaohQM51RiGXb9VYDXy8XhnE6dWTmFUNnDhzR303jrA iZMreOzKGG4X6IfA9UKhHwC9tRaCr34RW5/7dbR+63m8+2d/hb1v/BXKS5fgpyNU40KyjwcefytU rN9kPaGvRMKZOT56WjQ69KzoCVFHKwh8NNlbkRLMrPNRAdIqRUJp42gdqdNFHwX2JvuYUFwxULiB iYR+xB35nFHTKiv2MHaGaAQ+tkRDv0KDwo2UpCkUhlWGke8g8YGNwQT7ElpAvMyr3/97nL3xdeQb HZzxTuDycDSV26kXQLMVHI+XsMCjcS8B+eWeVT3pVh9cSMRoieFaBPPfu7vlZ1kiLcAnOZnPVNOc URoerU/Hj2iYAlUoHumFCWsUm3j8v/236MZaM/7Nm+8iH+eCAzGDyAnLUhZO+lWWjuzfkPdHxOl4 C1mFY4i8sVPiM+dfQvf0CZx8/hlsPPMcLk9yDF98Gk63iWYHSE424bL2mThb4YI9OfwdoOkAG16E wXNfxYvPfQX9r/4rXP7DP8T4//lzrKpbCCLgeqPCS/s6Y0svi7wlGkmKKksxMwumplilrkCImFNW GQqnRBEpnBkBr2Yb+O76C3i9+wTGhYve4AbOZpex5ezhnexdxHwvcbGuqA+WYI269kIp02x6IYtW hTTgGFcKB0qhXwBJpLtzH6BE3/W0Ab/wKwx+8arQXDLsYb+VSbs0/hDSsGELQ8L73UDl4zacI0JC O2xHIfta/57hVvJejRr3fsinftzooMp1sY0UQ5CFTDC6YKq4QsjZ9GgcOXqthmQ0WUDMkOzmSCFP R5g4HjY/9RK+ePFdXPr+P2GlnCCqKmzTCOQO2oMUa0GCDXoxBCspPMDGDJGPtNVBuHkaK6fOoY5t ZJoAACAASURBVP0//HtsfOI8wjOn4K+uwNkdYrW3SQFP9G9muLTiCNUjKF10ogYaTQfOpELOhhPM +qYucM5D70tfRrCXY3g5xfibfw2k21LC1BZ1VOqlM5PrI0gdwcwIopL86qcuJo6WN4ZToMwrpHkq ADwJ537nCbwTn8RPg9N4qzorsHocr2DQjHG1sYcX9k6hk5TYcoEzSqExuoWTcLGHEcKswqVQ50yY LaQvpyhrw+wgs5cui5yaiIIJBmx2QVXZrg/31nVU7dO47rXQH2kPa2VlBY0GYX4PRaE9raLQtbCP xt2NOl3pKENlQ0KpijAlPJoEZcNCTRmajVITmK1iwh0Of384EexqTMzKjeEG1D7SSpvMkNsV9tFY Pq6mCUJ6NVWA9TUPIZUnBin6BwnObpzF+u99DYPLN9B89wJ6UuCSY9IMUeQ5cjWBE3UkLBumKSZh hM7Tz+Oxz/0GTv3Gl3HqMy/htSdOoFzv4iJJoOMEDYTY4j3JcpwJAgx9B6SYUk7HcXPkgY8idqRJ Bp+00wAuX8ugGsCZz/06Gn+wjTdvXsH4599Gl0ZPtHYqabBRumIypKiZ1AX2AFzzOhh5BYY+O+QQ p9JdczK2JAs9/O2ps/hF2cQNWu3xQJRDlePjneYmEDVwtdOAGyXoMtPnZdgaOHgpThEnAU55GVbD 5nQ5ZmYuZnF8TlaEizCIcBkDRDngFQ5WPYoEhjhzaw/hZ9fgv/hpXLj6Lrpd3b2bhuqoDk+Pxr2j OdT/phUuas1JROmi1nhWapNnxupuC6Z9kgw16Y8rrO1xpxUN2E5K+FOPxpHjIATONGOw19jk1hiN lQY2N7YwQoDtS7vovfw4bqyGCN+dQPE690Ko9TbGExJKXXSf/TWZbN0gxBNPPo2TX/ptuL/+z7Bz +nG8uuLj1Jsp1ptAMPLg+y1pa8Vw6lK2h/b6Crz9EJHroUXVDFbf5CWUR/Km1qUqV0dw8wJl3MBu u4385acw+u2X4A0uw7/4NnpclUb0qkn5cOCkFGDQvcnoYf2qmGDHyzHyS2Gddwi2CzNfkzXfugW8 FQ4xbFCelaqxW2hkMZC1ke22cCNYB7whrgVjXGmP8WSU4LQ7xJNhG2t5iv2SxtZI57glHOqOsX1Y qdAsK2y3gMf8Jpw+ZZQTVNcSDL/zXWz9s99E8OUQL6y8YDT7S6QUJ6TAYkCVWdNI9vZtHR+NuxyL tYX1msO6IdOfvdu9Af7NwhA6xS6xKNliYUwtP/iUMAFoDktotc+f/TfZ77cbgbC867K5840Hjmms fOx4fBJLaDRux5gUEdqKIVOFjU89h1d3/w6/+c0reHbzOVz5dBeTlS6iblsygWvtJk6eOoXsD/4d gjBG3GkhaneQNhtwgxBN10E0AIqNCDeIWvsa6yF4zYuw3trSvDBNJxPAXnvX5p6Z+5iMQrSDFh0y uZadc8+j9/v/DtdaW7j8D99HduG/wBlnWC89uLvbwqv34hA3kgzNJikKPmIag5KkBsNzsj/s09ja RSfbwq3JYyCZwQ0L5O4OMqLkzioQvCXw/Uq6if0LJ/DqWhMv+q/hydDDq0hwYqKLnkn74Iis/E0B TMoR1t01dEdD0YPdI67HqojXBrj6je/ixd/9GoYnNoC9EqfbDeynOUbVAOH6BsZDOo6a7HzcWFTJ ddkZSErRjm5w8XEZlWlyK4RvKe6kc6OJ5FzXpDJGDJReHJSaYVZzQxdY1AZb+RkVzfcwPpS1CzM2 /h18dtmVu4eDZUSluZAxH3beBN9Be+sEznzyk7h4+jqan34Kz0ch1k5sor3SQ8XVn23NohCD1mlt SKkwQC6W4RQxvGF9HduD3c2gDDL5KWyfIW2xOi10PvE0Gk0fp15+Edf+egt7f/k99C9dxFV+vu3i LLEvALsZH0rdbq0hvdE4mambRQ+IHniFDtbRcnoM5lAqBz7pEioXQcexm8IftJGHKUpnBIQZ4B1A Zfvw+im8ysMNlzWjujJJN6zXemHiHZK0v+5ibRSK9M5EN1+Do3KUwz2MLr4NdMn48tAfs/IpRpOd gFhelCtNav5425t7Murg+NRYTf+GD3T4HybjNPWurNzwHSkezsqGFssJFvXK3s9imvq6JRiLeoUJ khOg9hGur2PjM5/GTvUJrLZaEqZkRYFd1hoGgQa18xxdtrgQbSrTr1Akdpj1062s7rbFcOi6ouJJ wip7ME6YRFlfQ7jZRfOlZ7HpZih/cAmjS5ewHQP7LNgeJkLUPCgi+CAT30EjjIUmQGPl5JRV9gUy cNwIfsCMaC41i1kxREbJniqF6yvkGSsZcik5EjcwIc1jgKxi2zQH29KBW9c56jpVjXfIKyo/uIpJ WKy61JlXCJIKZTJE9c5bSP7m22if/xTiRhODQYWg6aDd8LBPATUC949qCe966JBaS0Rp3gAX0noo aD5n1FrxcTdYdkwls/RzfMfWXV/ohWrHaQmRo1f3he29F8NVhczSZWghkkRFqioM0wJhy4da7aGV sX2WxnvyiW7M4DY80U73Kw9jtn2vlT1IJZC0mTdCf3cpQEe2Og2BNESlGkUJ9CmxwyYYXozm+Scw Wl8VvbJeIu0DNdtdkCpdcs1jo2Afs4dsXkH5H3pY9Igit4+eV6HnV9hh81aVSDzHBiNS2h2kgDuE KrpA0kKD5T5uKNI4/TCHl7OshkoQbKwrEK0ct+BkFdA4YHlQLomgZq6kLRupEYO3LmDyZ38L/3f/ G5x8sYe+52Ci2CoMUFmJSNqS6ev+aLz/MXUKmMmmsTIkUOlcbv/0AbpZD73BqmOm1ljNwLw74HEY VYhZI+DahTYSKHYb7xeukKahDpuQsm2Wq1tQGUG+DjNujIaojMC28fTwBHTS3+1HJhCiRzDlqmiW JVuySzeJuxijqpAw1auoJ+9K5QLVX5OUnCgX3voa8k8+Ducnp/D0zmVslbl4NM1GjOJgJOcgXlpB Y5JBUVeryPW1cl08P7yK1bCLnpPggt/EruNDBSF8Co+pCqF7DTf8HE64jn21hrwRoSqvI4oUVho5 OklzSvhULLQvlfbijOEqEoVRmWMs7b0qEM1K4WKn3MXkZz9G+1t/i1Mbp9BYXcEBZZ0TqW6URhvE 3erKIo/G+xmakyfrnaEnEOeeAutGlYXDYlkfa4PFoS/KzFhZgfw7++6CEqr5PX27JgFrxQnfS+rV zSnPS2FA3dzTDTzp7CFbpKvSAtJxhjELndlFh1FRnoiAILEhfoBFp1piRsv6SDh0j1YtSqxQirki ruTq/Yswn3XlW108+fXfQ9nqIvzBj/DO9/8Ol8e7aLkjbJIb5oVSdxgQsyoUXHH5zPkBePbWVZwJ 9vFE1MeNoIuDsIfCb4hgI632SbWDn3YKXGys4jW/C9dP0B1NsJUS59JNIDisHpbcL43miql518mw 7SgcUIU209Nn3AaGI6A92EH0F/8vHn/2Waz99tfAPq1ktkvGVDr3JIgI/j8a73tooc1ZwYs1VsQ2 l82f+z0eeoO1aLCnahHTUO/2F+k4w3M75u6dDJ8OB3sIOq4uO6FsDMtMmF4XT0ZjR6LXlFNmxofX aIr2VhgCg2ul6FeJFhRnsEaf5d9iPO8ypGmw0FgyiUrwttSQ6yioKFp96OLc5/45JueeQ/8Ln0O0 sYLOH/0RmskYZcgaQRZWs3Esn1It1SNhIjE4I2sc5wOcyIl77SMPO3DYm5B/zQY4UfQQlbt4Ro3x eHkNuVfgxcFFdIsS+zkVGWmZHKiAISqF/LX6l6zrpZKmrGWDsV4T6U5fN8ag9Iyv0M6B4S9/hus/ fwWbX/oKwkaIdFLBj0hzUI8wrHsxjKMgv42x0sC7Tg7pcMF89AOQTX7oDZYd01Cw5nlIhf4x3zvO T5mqKdYu+HuxXTRKktmTjusUwksRIUDMNl40UolCMwzhxlqplR6AqH2mwKhQ6LKDslUAlRWMGmJa zI7F0HdbIEVeFW8yCaVl5CAvKRWdIXB8aSufjCORrrmydRoHT6xizQPOvXkTk3/6Fl7JRliJqE2m UJUMIGfXW+SVRcM9RlNlCHJC6DkiNUaoArhOIsY2yYH1gwGeHQ/wyfQCUs/B+TKX+sILXhOnMBE6 rTSG9H3JnkrDXWJ9ZYWtKEIVN9FiRcZOhV12bVQxum6E8yjxS5Ui2b4OJ5/AcUJJZDhBKPey0fBn 8kGPxvsay7KBkiQyfrYFLD4ojXf/nNeXOIQt23PlShcZdrWhLptIC/vRIQ+kDhKzwr7+fv23vK7J eyyetPyu1XstVnNzcKVcNnSN+PEX6LhPsEPzoVET/rJNDKy+uDsf2SOlB8IXBRuuuggogcn3+Xla CqoO8A21cECe7r/I+sH5YWDnmiTH3Qx6V1qzCnDHPCQeQKRdeYZYDWBvDKxVFTadGOnLL+Hgf/2f sP2HTbS+8bdI0x2shAHyoMLlRIeYSdDBlcke2o0IeZqgqbT88RoNNbsVZi5GbDnvFjiLfcQ01Ck5 VAUiUVHVcs+fHPfRZx8enivbo1UZ0pgCiiEauYOAfST399FxAqg4Q9qs0MhDqBFpuWR3efgExvjl D36AF966ivWwh7FzgJ1uF5NBgrPbPRS2JdARQ5prmOute/Vp/paFIT7sTXecqTD+EfPzmNIY69FI tyc+5nKxdJ0sowpp5HQXo9AbnImamiz+NJu/AI34pcf8kRa3I+or+kKUGHF0B5uMImi3cTnq1ILp putFkvZvtfRnfSwzUss+96AHH+Davf/IDJbSsAQvYAE8+V/NBlovPAPna1+R8LX8k/8b4ywRdc/H HFIdGAaOpQayHKeiY2X15gV6k4tUyTMUqQo7fqhbiknjCr1PGk0mGGTRMYaBnajpWbLRbcUSo7JC rnIUjoIblnCkm7YLlyx2BPDJQnRd9EcDrF68ht1vfAOdrTV0nthAkihsOj1keu14NPDwzaf6qGfn j8OP/XGpG4w6tZjU8xz5oaEapdpgLdZozYnT1wojF6kBh2n58yqOtqHF/Gdq3zsmPrvfRGSpUrH7 MgZasnn4aAwaFnb94bmRoZ+1Y7Seflp0s3D2Mbhvv43Xf/qPcs40NNIUt8jxFJvKOiXYWFv0Xj1H 6lCVRx1/CvMpaev2NhUaKgW2mhCyBPllvIYMe6WbtJK+iB2t8YmwcOGyEJs8BpYyJakQRb0kn5Ki FTXkRZPeQZIpbA6u4vr/9YdY/exzaD3+dUy2gUYHuOWw9vLjDro7Zi7Nwx73bOuHhPre21imkTX3 e+Hz/qBgm3kCvoYDxNWPJD0+LwRDJ8UhMbQ5o7W406Ni4OlBzX9CWnst4FJzr4+xSJYdfb+GzU7a 8gSSHDlR3mNFwUM7SlchVa6EjFw9nMJDEflwTz+OmIXZv/NllLGLfL8vfAh3v49s1Ic3GWDVmbUB Y6F05VCOhr0ZK+mALXr9hBWkr7fJLbKDtdGTl/6wpiqMf/NZwS8QADOGerur1M5hT0b5nh5UZOX3 hPfutBFjjO0Lr2H3O3+N9ie/CK+1iYwZw0kGAQ8/xkNhQc5lTtrlDspGjvvzoYYV9ybBfdTU9wuH ArWUlDVM4yqXGjESBe9EsHFZYeNRHpT+W93Sz4id9ffmXx9nsO7vsG2xpKmN8a6sp6UPFB/qUQUe xkkp8jSx7wvelO/zfAM02yfg/of/GS//63+F7t4YwTBD0R/gwne/jUt//ieIh3tIxfTom04+Gu8n wzqL2Z3ylGRJbbctdlFjVxtaMGadxmSnFx4arNoRYqLuiJ1T974oEAUU5iNHgYuEbgcnHpbPon3y Ul3stRyRcb75re9g/ZPfQ/Rv/i3GIeWW449952dl7/MRXpb7gD2s+ve08bt9/aZPJUn+WZozcEXM uUIq0arR3pYWRVsm22GzBcsO2BqcehuA5Z6Yc9sLeiwR7QPgBVrZDF4PneJlS/ePBqYlYZ5TwfUr NENdC+lmvK8u4oaLK2cfx4nHziOc5FCjDFGWImTTiH/8PnYHOxr/9FwpzxHBD/YUpOqCSYOvOZUo MUjXItPkwFYX8LrulBB1BiKp4oGJ60rvTD+Ht9gAN3KQ+ezrSFzLJHzMwrGFPnaJe4VA9tNX0f3G H+PUk6cwee48VtY3MPywo+Z3OaqFZ3R+nt2BkbmD+bWsm86dGq9jQ8KF/VM1bRrW6Q4ZpOCTbazF /QXfWqIvNM041HRull6UQwc4n6ngarn4ufnX9+CK3oMVSldRze/towDEk4zpub7ozDNjKcXbxC/Z youdetj2a1IhbfkYxA0J+6LPfwbnfuvzKAbb6E+G0+eEnanFx/KUbI+hc5Ww86ImxEqDXNPemZlB Gq9mqlVOpcuNLSViYTjZ+apCNlYSHrJT9NBRGDB7zT6UJpRkxpGir2wTx5ZzV7/71wjXGwh+7+sY /85//bHXza0WPaB62LZQS/t+xr0MA+vjKE/LL4pyCqDTm6FmEwta2X+OD61rLNKiZ3XI5azvrB7m LfQqXHxtx3uxyh/kWORpCVRMzA8fjUHxQa8FjNlXkP0MywqNINYGjB7SBBje3AVWWVbjYL/KsXlm HSvPnMEFL0dfJJV1DZ9bKFRFKSC78OYIhJo+lqSvCG4lHb1pzHRR9grhByNZIr0O2YiDbPqUDTlK PIYGksLDAT0+t0DL15BFq/LQcnxcak7QHjWRlywoH2F06xpGf/nnWDvzDPpf+h20aXAfjblxL+fZ vcKwjgsF7fBdR+vXTPsGmsJbqy/P7CGHLYK1ZIVZKGiZ4vMnYQdDAfvmFO+q+ylLTq5+4CQQHqUi abW7F3WuZn/HXQ8JmMUL1Rtn8SeHhYDZLcac3tx+H0bju2yMiEmTo/X/s/dmPZJkZ5bYuXZt8zXW XCKzMisrq4pVxSLZZLE5VJPNbjant+kNI2BagGYAARKgB/0AQc960ZseJWAkQE8CJKg1PZoRphvT mh42m83i0mRVs1gLa6/Myj1jD19svSac75q5m3tGZERmRmQslV9VpHt4uJu7m1377FvOd07OTh3J 4cvmQmY1F9MGoBdmMcgVwgh42gvgN8/jzrf+GHExh3P/879EdPsdLPG5YYBbeY6oUPjETXFlkdis MyjiBBj0oSL2GAETunAaLZjAw9fNMsK8Ac/MgGuRkIk4H8gO9FIHcT4UGMNi7GGRTSDJALj3U2GB 6A453DSQAvyWZ9fYcHUDvR/9EKcuLsH8Z/8c8UofC40QjabG8mAIhAH8hoPNdYMGU9kpG68lyw9X Hc/pC61c6A99VNGUt9bp2yZWrZa+DU6q/pF3YzwRuJUI6JbdYG6bUS71H4QRo9xmDUfFTzGGNY1J QevnRbU/Rw28ErA9Ppe3B3BPIN3v5+DGzmqyUL5XOy4n8IPa/fLtk2C9Xh9NJ4QfWLrsYcaRIo2n X/gcFsMAV5bfxd1/s4XN69eQ5rGM/HTQxFKWwlwHhs1NeLlBQPXr8twypJlRmSx6JB56xIA5ifwk 6AlhIJkjGnDQY9TlxMiaGZIgEGZUJ/ERJEbGhfyCuoa+jd7SDH4BeOkm4k/ex+2f/h3Ofe03sHT+ PPKmwu2eQV748HNHgKyNNuk1cCKs2A4DcIjrfwx7uvdv44jswaZKRg5ru1Cuul8pPFeE8mZ05alq Ubu/404dxMntH1970ELjcTKivhVlvTh6lAD9mFQvDhqdJjrnz8N/6TKiH89j7c41DFhbonBFoRBA Y4al+8EQbe2i6zgICVImCwUJAg1nFB1QWrsPg2VsYd2JZH1RnVqgEtBYJBZdKSQiQsGSqyMFeqLr 6ZyEmpno9zxDofvQeYqA3cebV7D+8wD6L/8C8//0j5E+u4QNj0IdQEANzmEKp01QzPHXhiommlT7 i7Pa2/s/2MX6/hJf99/QthFW/QSswzXsPN840pKUbJcPV3do247mHH5M/UhW/07TafFJcGBh2ERB pZzYFsWV7yDVTK36GKyuIHrnFopP16UW1tfACllNcw7NFCKE0YqBNgxmHA9NDsrmNqFjPsFkgYDS EDnajNvJ8efQ/7i46p5C4szhkuohcHJ0VIFmmsLPUnhE2/PqLHppDlTgixT6AIkU6ptDsmYEoonn v/MWei9dQrzQBZote0xSm+pneQRPEt/ja8U9teF61/3gXdd2zmoaVL59BvJwn2zksLZDple5sIAn yxpXBVMQPyM1hb1/sW2L9rt87qMO0Jx2SictLZSLEuuIZFGVGRwtIGNkAVIvRL7aR7CZWkkAUhuz xs7/KCZB0j9dyPPp7ojTsqSAMqgKini5QSbS9u2SW7/ndvBR6wzenruEDxpLcHETZ+Ihnu2t49LW MmajIRTFWwljoGhsAkkZe4XGipMi0hpuqwF/fgntpWdwyclw941/QDY3g+5LX4UpXJmHa7Vc9E8Q u18xAQp97EHWPTaqN08V5Md/3x41MK5Tq72xNdQjq3HncOy8aCPntYco4l4cyOQV4Yj7o13tUelp jrqRkcEnoNSzyPJBYouuDe1iZuYU8OXLaP70NNR7K/AChU4Yop140Js9mGGCtU5gnVmWVa6q1DhR 0ol0IlvwpwgFn+dm7PbN4qp3Fh81zgO9HKvJFrxhglbPypHz3+FQlM6wwVlIDNFXGr2mRuYodIzC HFw0vAbu3vwIH37yHmbjFJeDGRQXn0HeDkB+wWzLiKDscbZiCmA9nR4eNIHhg16w7/272p8Iy97n wGrZJasxfY4K77WIa8cPWLu/HbSh4rXayY46fKAKfbdLDU9CWugQkzVibyPrQoSCVDDahVY+iqVZ qJlQ9Bh57lM1uk0uLxG9cDD0fCH/I4lOSfUlURilyIhUFz6xspnF20hlSJk2RvyjA7XWpE4OIt3B ensOYZSjlQ3hE06RubgZ5ohSD0NXQzVdeCaCWtkC7nwK90YLH27dxsadLTibKXqtGbT/5PeRtp/G IHahzcmSsCvuqWUdjtVhQDUyl+2tZH6pUO61jVQtx73xYd2PVeFhuoT32/YTO7rGC1VEjqmUfDgO GgHFKNiJszN9KzduYriyijCLkPeAzSTClnGpvwySfWryMTO6SqiyU26TVLt5jizNMIc2ekgRebGk eClR8y7QkVpTIYwRcRjgbrMjys/9zMN8L8FM30EjdqC7LjDkPGyO5myB2WgFzZV16I07MFcLtF54 Fo1ejq23f4mP//qvce7lS0gW2oAzg0vdBjZOIBK+OKSO4bTtNeuoal7Ttl2E6A53SuNHYJQSOCoK rnYDulZ42mvN3OJZbHpZFe9pJZvUjsYQv/pSJQzRvk5oha0WmsWRFVKIFWoTjpqU358isQdp1far GUO5LUdQRPdwN5zLEffdugdEHY98pTibOAj6BpsdH3kA3L75C+Dnd/DRRg7Kq150fDgJxbgyxG4D 6yX9TELWhaCFXtxDxyOeykMQD3E+b2NTryIkI2sKuCnTO4OV2RwfzfXgrK/A9VIMcxdXtk7hCk4R OAhX5/BnKONlsKJ70EsvIB3O4OxwHd8KruCVxTdwqXcb5/odBN/451j7xip+/L//b/i1wW2kf/kX WHxqCfrFsxhulEKI9zFRQC9LI5LOGsuEJsf28EtFyLaJOSoM5X4Yaabku5eZRLWuOaqQZwQIWxwn 8ZA8H0eBUYWz2mV9jytW2wApt/s8xykqqlLSevpKhzldmJdF9Zir9TLRUo3r4OSYcBBynxurmJKQ fYEirwIiVLjRv4PlbEvokllLslUmFuczbMKgb/oyS0hQaMT5VDeH5/vQhQOn46C9SpgCTwwjMAVJ JgsCF0KYglu8YVGLJfwgkYPOon1mqZAI0ccqijzGHdXHm2EC08nRU5sw/jou9m5hpgl8vt3FqV6K tbc/hP7le5h96iU43vHuEH4WzT0OOI/tP5O9raIY4oVEJkrQx7YjwAHuAze5AtuZQg6Ql0BxEBNp P+j4qcexLk+1H+I888IR1ZRYOcJFxe/rJQaLxuAsudQ3HXRCLZqFeakSbBwHfkPkVuA6DmI6NcdD w/MQNQySZgCzEpaF9FigENxdDqcrTEC0FZA2UYwcFn8YUqcylOhQFzFfgO+wypUj0yFu5UtYwADP pytoDe5i+erbWOp0cFa5aBsP11c24d1exWw8QNo4ng6rOOTYYYxEV0fPYUlRfKIFaUOIx73TqnR0 ui5nanQv006Loezj2qfVIHSVLmxXhJ+euToO5pSDygxqmPbl1DRkOWtoEKxv4pn1nijkDNwGWiKm qAURXxSuxVgxTchzuJmDhLcxW4MKqzEQ+Lm4KZYFEhbNU8uVxQtNQNwVsVzekmyThX4rt8odmUEJ OX6KzFtEz0mhGHE5IdbhY2gMGvFtzA5XcfXDjwC/AddvQj3/MsJWC61Lz6MRdtF7dMr8x2rFth33 x7uYJmcH7y2KH77DUkcP5zFx4Mp9Vn2mutN6LJ+lfH86K6nnWYWqMUf1MY+wLJ1eOVMqw2R2nkyv rQIff4LV995FsnwHCdUeUkeYR6UySWkwOq9hHyohfYwj025exvlPpu1EvKcSwlEFJ/I9UQYLOXyt Y5xxtrDotLAcDGydkHqHpEUuhORHaAHJj9VXy2gUPZlu7TukY/ahwk0krRgrLNBeX8ZWo4u5r74C 9U//AN2lcwifeh664aMRQ1R4jpsVdezSY1pU9WhqzLl+BB3WrjiPx3gW2uJnvW1qHSp/ZfZnppwW jWMdB2kS2WF7p1VKDd4TbR2nucOEeCWMo1UGUZQryz79CIPXf4JP165jK0vRYwHYasxzYh1OzhEe dgNtXNRySFkEtNsabtuViAoNB+1BCkd7yHwq7Si0KIZRbOHF7DZaaQx/+Ik4LBZ3cwFusfmihASQ ch3zEcVXY6Segw1Xo4cM5/wMTwfLQjSfr6zAm/MQnFlC9sWXgWcvYxhp9CLBwB4bAsYxoLt4rPXk +vkua7YG2TmMNby7w6o+VDWtXsNYlNnhY7eJA1ZJZzMbqXTTSqf1uEycZqnXJhFVeeWx5oSTUwAA IABJREFUjx9vYGlGqmKpWVlMjTRte+sYfvI+Nv7+R/BMhlaokWa51LrIZ0XFJTqpICfXlY3SMkrH M7cMfXiui2YOBFGOMB4i1zlyx0MRF/DjCGd6qyicBGc2Q8wOrwhPW1o4SOVCZOm6OZXDbvBMmmAA D0a1kagUidnAQsfBjNfBVkp6whhutAm1sYX123ehLz0nVDhxlCHtuJYa+hha8bhmb3aww1rOD6VL eBQ6htM2pq6ZFIt43E5rut42LdRBO06+iw5LgqaKRojfKeojvn0Tmx+9j/m0gMm0qEMHhUHuesIT z4J4SwVwyW8lDKIeiiJHJyoQRgmKrT7CrdiebyYRjjFDBgakmOmzF9nDM5suPtGZOKwhRWpLgCnx XGR+YID0cQBsxTl83UYzS0XQojswWG22cRULOBd+hDAZIPv0OgbvfIClz30RZzod9D2DDT9FOBS9 n2NhxVR0dVjnYYkeOpwIa1ddMaKaq7tTt7SRksnk6NDo91y4l2tWyTvt8dIwjeO4B9dU81RmJyl5 eUPiRLiTS3rjcsN+WXXdCbi221FxGH6MP+24zlc+QnnR6nNWOX99WJ0CMfXvOVLoGeHIcKjGSKbZ GyJ3UmzNzgB3Mpx7ZwPf//ev4u5ZjbWog6bXhJs4aA5T+JJnZUjNEG6gkaW+DCQzjStcDxtOgY1k CF9rRHmGnIKuBbBA4ncyiCoXeVxAxwU+USkC38Ugy2QMh9yldFrcJV65r9bKGUSdLUtaOpBfQjyV D/ECNhHGHWwWW4jffBWn33sB3uZv4e7ZDnLXR3d9iCQ4+g6ruvAZwTGOZ3krx3GQJoSe9UyqzGK0 1IkL2EsOHamRYfNxIaQiNriXAHQnMtATpfy8H2Z3TjVfZHfmfUeDHmd97ojSLVPj7+bHV3Ft5VMk MzOY6Sts/fJj3Lp6Bcu31tB121A6Qr6+YTUK3YbUlBgGEUTuub6wmEq67rsofGXpZ5Qr6eKQ3b0a gFiiuVIrQDquJAzUPlpeAYfoeF4Ai1zomLl4Z3SIwmTCaBoT94UMka+w6goUDJ6ixmYg+tLOrTvo 3FnGsH0acRzj1FzXitw+sYe2aWaG6XqbUF/WdUqn7j+oHYjDqs8cHroRJzUaGecPEfvVBKQzQcg4 qbtYPliGbTvt271eIKYPaPWrFOdrH6/qtB8V1h3SGHM0Z2NzgGGcILq7hei1n+H2Jx+hHwPLLSNy X+SDf5rpWJDARAZBI0QWURA1kZoWv05OUj/Xg6c1Mo+jPUrAorRSgmJi3XA/xIWG47poCc+7VdTR aQLXkLivgJ+kss/IRLoCgw0DrMURIp5EeY40T3G65WNjdQN3XnsD3g9+hHi5j7jZwqkvv0w2wsPa tSfCVNktrNLVegezKKOw/TT3IB3V0Sh11XL+qqVYG1YuRaqss6p8Wi1Hn2LJuNdx7TZ6sIOnq9P4 1CXDRnJiOBrGlPD0qXMIul0kvkEcv4G15etopAlaHnCneRpNHzCbPVlMOuacDdAmsVWmwWYgIQcy GmgU0ry8IuelzBd7fcoeB0a7FSSkGsEySSaKPFr7CFgLK1I4uRGhVroasmvJvjKGpXd5TUb+LpOK w2IayZoZHWrv3Q/w6d9+D13twfmVL+C2SnHKckk8sX2yaYdlMZvbR1cPgzI40AjrKBTnp2tejK6I 5amMIhtjzvhJJ2Ud1+ROHdXxyjuP6liY/ghYsgaRGGf+h29ZnKDdmcHM0oJoksY3b+A9E8Npt+A2 mnj+xVfQpeOiW7pzHVlqkyyVUNHZgc5Lh8Jo1jiIU42UizWli8qxqhtITI64yGS8h9/bJVOWsoX8 bpxYPn12BgUpTMoIy6jPn7hcxL6r0YLGLKM4rRD6AVTEGccYXq4xCxdRkSP/4F0s/NrXMH9pCWuz DVsYe2IPbdO0yAfdDd83hzVJ/HeUeK7GcGYWAUdlrOpK4EwWwiecVTVHN/XYg9h2tD329+pKM95f Y93D0nEegZ3IIroDbYfX4xRhMoTeuAs/GmCYGWx2MwxaDay++BQ+NhvI1lYxC41GRkdhGWkFaMr4 iSrTfoFYJhGMAEo52pMUBkMQ9W6PFiOlgAVmKPisPWUJFNHu5SA8hVI49S40yj4kWiP7KKmR5/gc L0DHC+BkqVyg+plB6IXIsgTx7ato3L6KOZNgeJzatUfY1EQpxd4fp4c2IKg/d7v7h150PzLEdgQv ilQZa1dW/aYsBY6k58sPfM9LZec7PG3Kg1H9V+ua6IcYaZiUSRuzVkwPEByFQrzrMrIB+hmQ9Nfh L99E/9Y1mKQvHO+vv/EqFi9cwtz5C1g9+xSymVl02y1cfe9tqK0cIVV3UqvCQ6xc6hhkLmf/HBme fiaNpDjPAjxjs6JclB5yuEUuMAUynuZpLJ09ORl8H4aUNUUOzYCZjpF0D1AitKk5FE2RC1ImZ6lc rlJyaBUJ/I0hhq//FBs/+Rlm5s4BPt/hie2HVc7KKsbzvCObylSGMnX/ULuEVXQ1/v3xIuH3ipS3 O7J8bJtYcPQdCkuvca+pA9Q9tFHWUSEujAYDtMMWXA+IKSAxHCLrbaHJC4AX4uWrPVyaC/Gli1/H F/QlGZu53G3ijbs5er0PZIZQpXT6BkmmkfQ0Mu3DMVZ6/hTWJVJKKJZaYr4YMbn8Yf2pTPsyQ4pl 7hhXoi0W7SliEXDIXSYSWTqztTKjmAqS5CYRJlPlaSRpJl3MLqXNPvgI66+/hZe+9YdYfVLC2her N6smTvla5DX93Icxdze+pt1slC6Vv8vgcYW1egzOqq5xuF0EUwiQafJzCBZr5BG2+Yy1z52Vw4JV VDXaWv2x8umySalDlVqJPIm2KUZN7hc9knWX7iApWOhQ1dFw9r7bEuVlAjW7rTa2nn0R3j/5XfT+ 9Z/jud4A0VKAi3/4u8j+4F+gNeMjW/45bvzNv8VCI8Npo7BOBlFkQrPcz2O4DQ9h20O63keQFBhK 17aQKEmzIC+cSgq5LpBRm7BUr+9IKzBBlqZI4SJveGC1P9/YlP1MVWg51NpF6vhIXB9Y7KK9liFt ZOiHORyjkW8UiNYzuG+/hcH3/jWc//QPkQwDNJttpCkQxUOEDRsB0jFWsbX91x7w+jE/6NoH1yoz BJsdFFLCk5UimcPufHK7Wf3CuO35U6bhO5p0AuunUTEKBuznv/f1j1LbPjE4rIOq70/PUt7zd4FN lM5mVAMrQ90j4HAe1XhBo1ZDGlG+y8HC0tPI/tE3cf3jq7j19ttoducQzJ7C2fOncdorsPnGOm68 +g6W378qdMlhnAvI0yfZGx14ZNBwFeLEdvVCOucKwS5vWDUd7OPrTO/KE8uO/pG2hvqC1DUs0HQ8 5IagSj5WSCcy44B1apA7iYzgIIoQOBlcrVGkChEi3H3nXTT++u/Q+tpXoIMFbGU+mh0fs40G4sRu 2+SAPiKhrgUdF4/tvY5Cw+zEOqxpHvr93XYd+FZGjzVWRaG3oVpMeTKRjVXmGiundQS4wx7FGM9Y JUB+kwDh6fM4+2vfRjZMsHLhWSycXkTx+Rexmq2h/7N/wOb//edY/u7fYYPgUT/ETO5IDYp4LnEq rovMVcgoGWwqJvcqUOEetDGz9E6pR9jwoTIj4FPXGJkjLFwHmcqRmxym1UEcpRimhC7k0mmk2ngW G+lGXiedaZxJhNhycpgQuB0B8d138PHfJ8j+lxBPvfx1YOYcLn/hC3j64inBegVhQ47jYQvr1DUD VBm1VxqhB00dcxSdlntSndVukdGDvcf0gRvjuCiowKiA7AE8yXI1dlp7H0A6ukYXwGXCqIiMo30m vOeexuLv/RHmv/YNmIsLaLZnsPz2e/jl//t/YfCDv8K8itGYbWC9EWKDBahhgdwLMMhtKpe3QwxM Ajd14DKaKdMOK3RSyO9aayjHQeC2iDCFzgyUyUeUxeLSMoPemQBRVKDfSxFnfC05uzQSKkYXBrMR +eEddNh5zFgPoxxGjnRYYOa9q1h74RrOv/Ib2GoFcDzXslGI7iGE0eGoTO7UcYLFPvqR7bjaJpwW jpYde4dV2eMcCp3o8pnxyeY6FWm+dVonICOE9lwUFKFQvoBIN4kL9RpoP/Mc5p4H1oIU6ZsfIv/+ j+C//iaSjU0ULRe+66G52kfRFDgpFQhlEFoVWkZzyI7FDq3vh3JiVDz/pnRYFJ/gjzO09RsW6blc 5RSSOpJGpgxmlEHoFAhdpoqcx2HBzUOqCnFY1D5cSBVaCSPFHInnQukUeZyKuOs8XHzlwlNYufgc 0vk5OWa+IhqffjJB4PlHzmFhNBewn9vf3mkdNTv2DutedZ/97VLu9vrcWJyJKAmbQpyWdPqck7GD ecIm/aGQ77kNS+JXKCVp11o/Qvbmu7jz7/4jzL//G5y+uQYnc9BfS6CxiQUobOYGKsvQHJKBIZfx HG1SZFsJnJzEfhZXxW3y0LEOxYKgKPN4CnFvU84g4cNSTAXp0Bwoyt67Htp3thBkGdqpTS2Vkwtv PGfSCWy43vER+yGyWMNEiYhY0PkWvsZmoOF98AEGVz+F9/RlxAoYREBYii24/BBHyNQoJdy/Yv9O juqoXmyP+/l04FHWbl2O6i7xVOwOkvtccI0no+YOlRXQ4iCsWgwHj1u+hjOMsXrlU6jvvoqPfvg9 xJ++iXmVIvWbwo0VuRqOY7CcWqR7DltjEkI/o7GVM2krxDGQw10V1IbmoA3/ThmxQvjkZ1h+Z02q MBioAv2CaZ2C4zvQnkaPeVudI4BttMQW+GkL0TqcTkeAqU4vEcQ7GTpWkGAtitHUa7jzwfuY+8Y3 BDOmKHMPjcEgt85TZK4P3yryPDVq7igYftd9WGTHJbqiHY2jsc920Clh3YnlTDtG5bISUU8wY4kp Ou6Wxhl8z0MjUOglBkkyQLfRQUMV2Bz08fPv/X947YOfYS26jjNuiHmt0Wo2cBd93BwUaLYAPQQ2 vFwoYkwjgwpzbMSFCN+IZD35sxwboUrb3gGCwMANDL4a2U4sa4VRDqzJ/CFnERP4xkWsCWx1bJpp jC3sV4PUpFxm3arYwoYLBBp4JicYVeM6cnwM4Au3ryB5/R/w3O//PmafPo/AJQZMIy1yhExnS/qa o2SqnIbY720eZUdVGYV372scq7ifDQ/5W04o44xAZfXb4kCdH5MHjplI2jKiO7V9ei4CgiFpLOIS U2P1C01tEoDdsvEiFJHREhpR/yaHZXIldxQG5ULpBC3EkUGPmKlnnsHMn/4hXv4PM9j4q+8Dt6+I fuGaV4hToSAqMheJk8OPgTUUeDFuojfXxGLUl84qd4+XW4AoE54IBTg/rUj3Tp1DNZD0M2FBHVbS nomaINt7Gxg0yElm4CQWLe+V+4ytgpRMpfzQQ6DrcMxHIZWCfIF5AwQCji8Q/eyHaL/1Opwvfw5b uolu4sCJhkhbDZiCunuWIlp6mCUMg7a3HjD1E23Hs0JIVFhkq7R0//WV1N+hGOOmXMGckYX1/s2n Ckm2k3EfPSgg3KLZy5Bvmu/ugO1ERliH1ZKtsFfTVNLjiKzySqVHOwZGGEG1P5mCyImnNbyyvvPi d34Xl9unseEEWP7+d7F164plwCA03mj4HY00TXF6PYdSQ8yxi4oCnuPAuA62Gr5gnvKyEE+cCMUp yPned/kaG+SQ/IH+xWphOPCYRiqNed+DS9CpyhAaAk1tak7IBJ1BgxymykVGIjoKh2UFQs3riouW itAuXORrCVa++/c488rX4X/xZVB5zO+0saoNZg94/+5WI60c1G7LWdW6fQex/qe3eVglj9053XF8 7F76isfxntOUOsVkTWA0ElRxxtScVqXdfsQdFo3Oij/8nQ9ppmI6gFm8gJlEI/jgQ2y9/irSKEbX 1QhVA8kwR+YniLMUXYI8hec9hpd5CMm+EDSQayLdc4k8tXYllSaEIc9zJFGGW5WuBW8ZpRJCwhSS WoZFjmyDaoecIeTjCoHjoEnAakmhzLoY8VgDp0CaccjaECUhvBCsfhXIEMYD3PnRa5j9xS8x8/zz 2HA8eJ6DYFAqBR2QQ5pg8txx/5fOoU7ZgnHEo2tY9Ykoqy4csc3fH8Ymh5oPJ4V0d3vTo57X1ufw qt8fdwFxelGOI62KJrbmp0borMpp4VjYmIKn2t9Wnny5rzBbeKJYs5bGEgV16RGyLVF+1hG7e3YW gNwNkdIYQCM1LLQ7CNejURSq2WEl1CFP0UCBwFHYrF00JZ2mYzPW91fCq9btACmjMdFaJTq+EKar NWWQ+Sm2tIs+waZRZqNFRm0c6i6AC/4QC/kWkg8+gL5xA62liwiHQGcdWJ/br303Oc61125cNe41 Mbhf2JlY+eY1fqPJ9b79+VAdu73adKd92mk97gW8Z13CHe2IOLTDcFR1s8ITY1Dj6FQq1SkmZh7l 36NC0Xd/Y6RTpYXVrVBSMQJKEomkWo0ZuJefx9oXvoi1tRXkvR5iItzjIeJWR/QEU4+1rCHivIk1 TyOnhP0wwaKxrOA2HcwR8Yd7S7vwWw0s9GPb1ODUv0z4WddH42fpdmYE9W4000LOI+Yo4kw6lXwW 61oUYvV9H5kmVssyB7LuqJFhoHLE5K0PFTbe/jmab72EhWcuYJjs/1jOJHfU3s6dSYdWTP1YgkX5 y3hef+KFk9H/w33ueymQ6+yij3d2yT2K8PuHTwPvvXI9zq83zbxgby0lTbHNgj0Ou75KAyuHVdWy WJciL/rtj64jabvwOm2oF7+IwcdXsPz2W3DjIfzAxd1BTEQt3CTERlCgTQYIzvwhleI6+fNYv9Wc nWEEJoVoIORzQwdPbVo6axaPCTeQ460Js3AEjzXQ5HenKCtrY0ooawqlEfsu0iTHXOEgijw718gt GMslzwZIWmR42geGUQJvcwObr/0U+tI5tH/9q+idfgpbGmhm+xt91yOs6XLCtq+f2lZROaEq0sG0 o5pcV/k2aeF+rL3HrY/44LqEO9hh8zXdz2kdho0jrKk6WvW5pp0Wjo9tt0BvXH8LV1yKShTwFs6g v/Qsrr/xPlgtmo0zEYXgqzbRx5DaFJ5By7DXZ0UqoqpGU3ZVWefi88NMoREbBCUFsu1J8V8PmbA5 WMdVbGzIo4GMR2lpCBTaRa58xEEBE7MrSEhGhmGawaeCj8Mum4IqEnSSBiInw+r6TYSxg/5//D5W vvYKun/0J0jczr7stxHlyjYHe9e1Wqc+QH2O1dZKK4Byte3pYvhYeu7RL8LTnG4VBfLjtBPTJXxc RfYHsWpR2fvjA36cAKUTXF21OqGImWqNl155Hh+vronQ6enTT+Fs6iG4sYy1X/wIHWeIkOlfkqKd Qsj4OkUGR+Wy8IT3S5MJNLORHB0ORScIHk00vNRCAcZMLoWkdZk2SLUWCppZz4GT2VSRWCyTKSSF wtCjWrTCxpyPtSLDnTTBFpWkqbRDYGrFRWsG6BEaEQHPE4n/xi+x+pd/i+e/8i0Usw3ckdGi/dqX U/f3sF530tZUJeavUv2ZXlv3Q6/v13lyJB3WUYig7muiT29tBB6o7cSD7sNJkC7Hbcxcxk+U1fAy XHTyOUaSOGNOpWJCtmdKi7AAgkN2bo5yRxf5EZKIqAXtw236cN2n8atnPo/hIEHbc9E6dQrJJ78A 3nkVn48M1pNT+OiSi/7KCp6fb+N23EM+G+LO7BK+ds3FLXdZZLiY7gnlMRHvroJy2TFkHcwTpgZP hjW18LVThsfZiuBuxdgiRY2jEcDH+84QCybDrIpx5bTCxWWNqOfANSmaOXm5rLrPSonX4uLfagGt PrAA4AqApWaK8Ps/wa0fvo61/+oi5jcebf+JLicdfEVOWMKXKuWm0u/s/Ppdap2OMF7cx0wmlXle HKhryI6qKKWVDSHlVUWw2jblvr1AsfPK5xEiwrlZjqLx90yq/Y+fe+fERFhH1SosqeVyGqeFRy0a fFgLggCcD6aGDWtRbreLMy9/Hr2XXsbNN3+BoltgXitcNrO4e+UWFhllrcW4/OwSvK1bmDWpINWV smBaXn/olAwpRx0HHe3DxKkU+PtIEbHrpwpJARlxrThAx/EwQwZT5aILhVk9i5ZehOeE8Iq3ESgD 8v3NEOdYoktE6AIKa7EHJn4tHWAr76Mx1DCf3oZ6/TU88+6L2Dj7wr7sp4NjGnLu+1dGwXRYdJQy cC7iv+MLuQwbTDkr+3txn4ib+5q5vECg8TjticM6aCsXAIdxOTVQRV8j1DOOt3Fqj5xRZHCNDCnS 2zj7q1/H5ocf4J31TczjLpqZQhC00bz8NaxRUGKlj5XBFq7mK/icCEeOKfxE6ovYBAYGcLDsDlFw NhE51gCscpawABgYEB1PnFbLRBIhrZNOWYfQzTn8Tfsi/GgG/flZcYCZ6yBn5MZoR2pmhRyPLNdo eyFM4GMjizDneND9Pl5pzOD3z154ZBGwEZfVQTWAivuvIIcMFlIrLfvUZWOvckyCb5tAyVe3tTC/ 5CaT7VWll7IAu1uAt9/2xGEdsIl6saXQFKcls3NV2scT75h7LNaeoixG4QTy/fqOg4XnP4dzv/OH uDUwcP/X/xFN1UR+6gwu/3f/Df7VD7+LD/+Pv8KNT25jcR74Qd/OYjI64+K3+KgcBZUrtMJLAyLT NTzto8spJifDUEQmlKSJl7cceKpAWOSIQiDxAtyZn8P3FpfQ04twei/IxjleVKXsjoRxBor81dkK /KCNIfMk8m41QvjqDqJbMb69XsDfJ6h7xddfKSHv1XYFluL+lpYexdYfK8G18VhRJaoyIqgsx49o 09oCIzr0ETHX4x/YeOKwHoNZ0B9PFOu0WBMaoZyPCAXvw1oQhBj0hpaGygViAwzbDcx/9Wv4vNuE /+FruPLDD3D1Vg9zrXm8+PmvYM39CRLcxlxK6TC7C+rrn1FNwb+JIwI6eY527kghfshRGwJSCSwV qIKHoqAKdI75mAKuOULfRavvoddroHCGNgihkyqLN8ISm1v3weoZJSuQRCL8mrsehmkfN976CYof fxf4vT/al/00hiBUHeS9vvL+VVi1i8uqnI/lhc9Gs4Vk4JDHhTPe0iFZXQErr2ZRbPd2Biac1iHY E4f1mHoCEkHwQOcWnUznZalKjweAdCdjKsgIyRVgp0I/SbEOjYVOE6e+/GVs/E//PYo/+z7ar93E WlbgW1/4Vfxy4d+ilS7jxtYKfsUJLcaKqQaZWlEgldkfW3TvFRuilkO6KyX0DrZgzlcRW7UcpCLF 1khkzhphkqMzSDDby7Dai5Ge2qoqzBPy3cRwsQAdRWdhOAXtBUDeAsKOHKyrm+/j+nt3MfN7BwV5 2dtrduoSbjv8v5NDK6Mn7mc+n06Ju5j7HFmBnBqRMvdkufTHEJJ7S1kTANXDGM15/G/52bKq1SxX dT5QpYfC3HDM80GmHJK5ufDZPcrJ/p4jTwz6BGj6Hj783Jfw7H/7q7j47irez29i9e5tvHvrY3Qa Li55HUG9y1hyKWMkgRD3F9lGXQ2/8ODEOfKYXFpmhL+SKMAooVouQuoORth0U3R6DSShj6Rth6X9 jUks1Wi8qFTnGW6RtS+Gr3J0U4MNr0Damkey1UF0bf/C3/E4zXhA3kITdvNIu0VY9zdhA6m5IOnt CQW1dWC5sOTa4JOjUhnTw1IIZDun9MRhnXCrRpvGU/fVlb4QnNBxNxbcQ49IclubmQkbGBJ5nhdI coXPX5vBs0vAykqMtWgFG59+DJMn0Lc3cS6PS+JDnjx2D0nbXdSbXYk+o3QInRoRSLVUpBqpVojy HFGW46kiQETmB0p9BQWyYY5+s4fNwRYQu0jICV+hLeVncrQF52OguIUij1D020hNC1hoYhhuYrDI Mv7B4vMeGVakdgfujOYPhdZIXgTFHFCXEl1y4Syl5aaEgic/9/j2SYS1l4NXQ9xWVj9c05Ps5atw mGZPtEmr+K74MZNSGbeq40htWBaE/WZMj/g7L8b1ziJrEhbfdbgppctatSKSnZgB200YMQg4gL8I /OD2GpaGd3H9f/iX+Oa3XsTKLBBsDvFWC+g0LyI1PQQ6hT/MYbaGQsyniwKx7qMZGSHe43k5ZGGd hXEAbWOl6TcRwTce+srBXKwRNRN0sw0U2V1g3YFurMnco+jnaS088dzfHC0ySQLC7121QGgXVtzb gDML92PgjNJonwnLLpo9Vja9t6GyrWHvPqow4r4S3rSSeaIs1hH0OYOhkBAOtBLhDPLez2ngjOdh ztMYmlgaG9RoTPJM1ktmLMOtMLZSgVZpEd8oFPUUfcGyEXMl0T3/LMfCLSmogSwbA4Fni1Xk3gwi 7cnFxzOxUEQnjk8aMfiKdD/UiGTjVo0+v6htG86ZPuZZQpwQO+4zkTvZIYCJ99WGGuj4DSw+ewmX /pNXEG2t4dLF53Dt6k0pkgdnOlhd38Rqbws6sSlLqHw4AQvsJN2zOCKeJOtIscETh6U/w6hLxhSF I37I+UPBjCQS9jnKg+v6yKVYaHv3hpGYYx2WdA0JQoWGUWHpVVgo82RYmsPXri+j0wdqdIYiQaYc NJULVxk0edCzAsOcHdEGMkPNRYM0p+6iZVSVlJhCs3RbwvVulRvrF/C9jH4VxLlxnIkYOga27Mjy okmWVynCc9+XFa0jcIodK4dV12gb2aglO37OSbOyVvuA3aWjYXQwc9Bwzi5i9puv4Pqf/T946bkv 4Mov38fZYY5rvT7WNjdAvdOqW+5SYj73pDDuuw3pCUYmQz93sKkzcYKsZ/GkblEoJ7EIdo7+eHkO n7BQN0QQdDFw0zHYiMPbBFLKmcwCfiZnqVJzQNEvxxIoKxbADRsI2xzVPlhLGF0bRwazfa3hczyJ kXUWI8pTDJwAReGIgnhm/VipgVm+3kltGlcOfrMuVk1R0OrjOvcOQSv0yKpRAWpNDl9ZoQ4ZJs9c OF6JWys724d9eh0rh0Wbpmq1YyNjjqbx/eJEOasRjO+YzSLSV7RyV0Qfkuefxlpi1PM/AAAgAElE QVRnBs4Ll9ExQ4Tv38baaz/FMCtG0VLfkM0hhWt8icx4+hKRHmQaTa2RaQcB2RqYw2UpPJVLx1Bu yzSNaUoRBDBh084+lZ00W2y35DTKZWTCv7lQTresj3HnhlBeAC9oodmdOfD9M3S1RFhEn3MMi4Ef mwXk6SIQl1GOpGClozK8X1bEpT6qPFtIL7FsokLEDmD5+06oiKq8IjqN9OdGkkm4Tg6PvGQ8DnkG 5Tf2lQTwM+ew6mZVQ0o8yQRa92Q4q4noqhZhHaev1zFA01VYJqnfU+ew8Ju/jvzpJVz6+svY+u5r OMMa0sdvQW3cFtoXn1TIKsCM52NWExO1Lt1UjuLMUbGnHMrj5I5QxieEN2gReNUc3dEaEdjtcjBk ykfUfAkzF0atCpfE01wKhq5Vq+DWZC2RQkeJHmOjRe6Ig7Wh50FnmdBEF4bcXLZT11cuImLbiJ8q /8tL2RwpjZc4qqysk8lYVLku5HYHbsh7LnY6kO/NrXlKoeE6aBJUl2v4GWmAxqiQOiq+Tub4OM09 /jqE038/WVGWJQac5ImnyWI5Bt+P4hMxs7DMQbs7h9a3v4XU15ib62JNtfBF5ePtf6ew/OodwXLN eSGKRgOh0lDDGCZOJALgSShupSB3uw+f8vXIhT+LEVZQ7gsq52SKlDaEzU+dUDX+KDHZn6wIEaXK H4YjuVA2u1qhETwGEVVpnLiInVQUf1ibo1Rcplhb408yKpCrwjrTKnW2VmpFlhe0ctbaFvu3SQtH X7v2i90+aXxsdEVoICO+rHRS9ocdRr5/+bJtuL4ehx0rh7VtF3CHcPUkOKs6QrpO+jbptHCkTWfA MkUdUh/NPhCdmheZ+HioEL70Rcx6AcJP3oHz5uvQm6toOI6o2qRphGTQK6mQrUn53FEYukq6egwv +BgjK7oopkMk8wtghNc9pvAqQzGxijNtnB5aQrwMXkHVxEIg9sR2+a6Dhu+h02ohPuD9E5IjTM5+ F4bMqTI2xGjRzksa5dUYPtUoxasQ7rlrlZiqwXGq2VDQoyoj1E/w7aiO2GhQVEBi+qeS0sm7yIwS 7nuT59I95OeSCIsgFHV4lE7HymHt1epR1pE/ox9CkecwrmwPa74P3PWBpcyBt0l9QsBNFYZ3++i+ 0EJ8cQnq/Fm0Tp9Gl/12OqQ8Q2YiqcVQ1Yb1GYpG5HRmgQfDjaoUZkCoVgaTkyPLOjAebcZFbaZ6 boh1nW/L6VWxqBI9zxoShWLpIYiq910XYaDRDMMDd1iBkBpKPiZRVV7kMjbEsSPKn/XYCKgckBlf lCuAu8taHN1INStYinUw9ZXnbLNU6txZvquREukuNUSqIWl4bgCdM+2ko0rt6I6IkFg+nBEh4egi 8PjMpRe97xPK6dztPph9LHu04U3t3zdCyic2P2K8qj8Rx9pK2luRMyynKOxFtBxULXE0lpNoHFVJ mrhHErjDtAG7hEMgUkDUAXyCj/g9z7SQUuQhnMfpV74K//WfYvXaTRSDHDrwobKeiE0MnExCLLnw a6ZMOXSWQrHYFWp0Mg8D1rGMj7szCu2BhxvNcxiqOdyIgaafi16kkgjBoDAOMkOgKU9z1sNCYKZA o5/CS0L058gr/wFmz13GZmdG9rEUpcsLBY+RTC4wTZK+v9rb8Ps2BHqCw2Ohn5aWUR9bDNpitERU Q15YpnzqXsZPnZY13AlKZLumBBbn23Tar6ITWV8FEsMJygKR8dDKCsw7BVpeiKjwcKdHXrIUQVjg bt/KufEg2LKZzT1rNHRHTISi1KLbzmxIuAtwcY9f7CSmc3ux7VgiP1NWKMzOnUI+N4sVh/WkHpyY 8YWC4xbosgJdSX2l8qiM5rDQwvXXp7hFbuBRPixPEaYOGmYNjXwDQdHEgFe8chRHprMZeQnlCj2P htvrIzM5isSBkrPbw0zk4PnheVxYnsFHZd29ztE/XV+8nwnod4phdEQ1U6Zy9QhwREezA6U2baLw vUOUMxoJK/cdnZf0GKqPwdEk1gVL/BV3MrFecVqgnxjEVB5iF1US7aNju3O6VwW/Ecp8ujuwywHb dfuT73Xv/eOT/jyMfUa+5o5G39OcX8BqhxQvQ+F0b6pM2vpEGFWzAmZcfbJKROUJTOVxk+WCIQrS FEEGeOkGHNMDzBAY9Mdr15R8WOV7836itoTJNDIOomIG0B3kLY3OhQVk81R9Hj+3sqprtpfUfLti 9zR98aRE3eSCcLYbiynGf7/3dVOW2+4inRV9PzNfjoRVUFNBfZQcMXFuMGBUmzuIc7oGVt9xzBxW 1WnZpo1ps5NH+0aTHPv1It7hqDcfho0X4WfPcQnYvN3FsDODqOGhG+douwqDtEAvA1Zdi+yumg9V gFOUw8tPp8QRkTbFSGeLp16SOxjCR6wa0OqGLUKXXE9WWZqjOvwxmM1yrEsUwYo7q8sRsmYO75kY K4u3gOHZUb2mbqMazl6+3z2duXHisdMk4GjtTwlAqBrkvBqg3uk0kXVVTt1TuEMoZGquUEbB8gKu 4mQAx28KJLxQaIW0oEKRLmtjxyzC2s7z72dX/bOaDu6UBhyjmvojG+tURaeL4HMvofXyl6D+4edI +lRzpvNxsVlQ+LRe2yudlsxgAqHUYmwgwDY8az9x0UBaMFZroRm3kEsHjko6rrzWYeuek3FFATf3 BHXZ4d+iFL2tTHjhL4RdYBDJch8XmSejI/6wjHU/240/arcobfKvxcS2qp7ndAG8IuOzaaidSuUj VgKtEqG12244QMMlJz4duSPOXbbLJxxBYfLdRSgmWPLriHLck9M/jFWb+ixGVtNX0u1qFid9T1Dx Jm+7mPv6r+PCRx9j4+4GNt97V86VRhDgYjoW7RyhqGo7hYJhVnLeQ1aU4qm5wak8BkXGovaCdC4S RbCDX4UdLIiJSxy0WqCkz5bjoFH0hPt9vuHizOnPI9JLI5GQ7eqMe7mwSA1rG/YDcQolDOF+F+46 W4OawhfydyZA94uwOIdpmzoW9kBloWo+VeY2PYWm78FVBaKYzyG0QlsSiPzoEUzuwWFN+fhaLj2m Vn14m1BE3qaGdZxa+A9jE4KrJ/urbmu+SrGWB/CffhqnvvE7yP7+51h7/xP4pCL1FM5mVpBenNXU WJZt7Wd2ZIXMo1BoIMH5bA0vZ1dxMR3gl6dYp/LRR4A+PMRGC0ATJpF5ws5wBlvpOi64CqdUBB20 cL67iMUzXaw6OZqJVb6mY7FobyuWIQwbeyBfHBHsVXL1o3PIRohMzKZrWuVv5c29YY6qr5MdAoZ7 4S/sjBqkQstdc1oSfhH6wQ5qKjOaqmhAs96XGxRVTnt8HNb2Hnyi7nI/2+05E1Lb984EnvwY47Nt oS5wvR/Ba4c4df4ZtC88B7N4GtHmHQySWOYKR52tCsFNK8ZpDStYJElWHN0BMF+s4fn0GvJsA3/8 5i3EToDI7WDgtJC4obAbOEKWYtDNO7ii7+CcmwrlzWBxEW7jKVyMrmPtjoJpf6F8Q6t6Taoa3lY4 rt1gDc4EFKX86OWXEbBnzedtVxbYy+pXO56jVg1bhpvp8kVyrqwFlpFWHA/RINjUyZDldFiW84Gi tHS2FKE9SrYHWMMjRlAP0iYs7bMUaXAhkapWLmQlpQdpQ6hMLMXZCtm8XVpxzKlnaNeUh9lQIRjE yEKD4D//UzR/8xvQd+6iMRzC/fR93P35L5C89gZmo1W0S8VoKuhsuUAj84Tl3cEW2qnCFbbpmz4+ d2sVSe8atPbQyHpw49USTsC0pxCpMOKR5iiQgR44hfN0BPSv3kTvpdP47pVfYO3DJrzWLyy/V2HR 3/AbaM+fweLFi5g/fcYKmVbHqFzKPJZVjYtR32iFTy91Hvfi/jBDdi/3cgarShtzKlMhFleCKEM0 u+VqZ0QalUjUgdvAZgo0qTakC3RDsjQAW0mBgdFCX1Ntc7usZ+S4azZG5lesqvtnJxLpftzMQkUm f7e3Jz++bHMOkFzsPildzgKzXZhnL0KlqURM/ayH89duYfjGm1h59Ye48eMfY+vTD0Hil6WwhSh1 oGPXClfIrGEOnXsIMxbhHQwIMq0VmUd6tlURv4hwhlCKBFgImlgpgOe+9U3caLYQhItYW7sC3wUC 14fXaMBvdtCem0HYasINFJIDhsLvdro7tRLNdnVlgk9ldKcEJ9efx+9PbjGuM34Nqg/JZBCdLCmU a91RuyYnU/Lx+22/Sg+inPPEYR2y1Q9qPYqqd6ZOtA0ipK5GQW4ZpiaBjyIk2ltD+w7WMmD20otY eOUfYea3v4OFN/8BKz94FWt/+0PcfPNd9C+60BHQLJjIkPQuhRu48nu6lWG2F41m6uoOa3xbYA5A 17gYUPDwuWdw8du/AbNwDq3OOTj4ogV+lkrJknAwXXI1BgNK/hwsyd9uAYoePXESGlM5EWKuqm5i NSBtH+e/DhKW86R+ZcUojHKQcvxGlxMJIxnyydRnlJmb8ejT47AnDutIRlj4zFgYhnYETgRSjZxA QsVL2EJeoMtRmgy4Q4q7S5fRvXwWs89fxHXPxXBtHYt3bwk3VqC0UMrkRQZF1Dr9X1RgS9vivPDG l2eZiFxIalSg13Lgb5FTK8AN+Oh889eRnruIcxcvg1NBw7Q9gVivyiRZlgky/KCbaBaFfp+/w1q9 w2zv218qSANLDWxf8ItUFDvVc7kfEvLwC6iUuDct9wU9UlJ4329dTkdYdXD5fjf8nzisI2DVJP5E UfZ4sMc8siVUbSkdtk/5+JLChMVfNsiaJUsMqVWGjsaWctBQQJAZzEU5zGAg22GdiXWZHmtceSoR Gp0K5evprEgCWNWYeMM5Op636yoFtVJX+OiXX0bwlS/gTqYwFwOD9RSxa4vtShUi++65ZFLgB2Lr /+CBSrtdvNQ241311xASO2LZEdzsuM4gA9KcVS3ElSFlU4G8XHTmtoU5WoTskk5/FnkvEiLW6lsH bU8c1iFbnTpkzH5SqgR/BhzWIGHBXMFVVHCm5JflYrIpGHBdD9BRIZq+g6DhQact5Bsx0o9vIV6+ gtzREgVQYGJTFVjLDfp+IcPRjNbIAFEBJUWXr+RCF5rhAlgbUgLRxaeOj+d+4+v4pNHEqdyF2coQ Njw0AzuPVyeyExmsgo6LUIqDtb0E2+o+Fzdm2kSwy0hOCWOoqzVxMNp+L0anJedVheHPeFxK+EU5 +F1ZlV6y1mXZHMaF9vHn2n9M5ROHdWQclg2/7cDEZ8dhdULL1lHHIlWNaT4WdBow6zmGGwWygYOs GGKYpFjzNbbQRMcMZBGTioX7jEovnciDn/nIMnYCU/m7dVr2ijBKk3gCsEPWWcDZ3/w2Fn/3O7ju hlhonZIaGItb69dimEoLkeklnWo5R83YjeIXB2lUR7qf5SMofZmajSIt+8HIEc/vLxJeMktpaR+q j03CQ5kmJMuqUCKWUZschAJB6bCE1K9kqhg5bk4W6DFM4zEEnE8c1mHbRAt4tNAqoGRNgfeEmub8 nyjhGEnTSEgnYyEEaiqgNVDo5K7IFK5p4Powx0dxH3ebOaLTLbh3BqDmTVMnUndZp66Eb9BiLlRo XMzrDqt0iGW0wednWRMqXMBv/xf/Jda+822czh0s5h6GWxluraVYDHwYR5MxWECX8jk5A1TYk1t4 nQ/QdlN+NvWop7qtOS7GS7akZVWfyznnMV0N24Ti0Cxz6agmVwJlKUhhQbJjhzV6PTenx6ykBxFR TduTCOuwTVGClPxEpeS7hN6kxi0ZI8urFtdlpU0oV7zy5bvQmR154/emOcoRaEI5RDiymRS47sRw Owx4AjRv9jDbeQqNb/w+fvHLZXSXv4euMeLMBi4wlwGbcY6bWR9n0UHTiWTGkOcR0zpJa6gBSBmt DFhyYsQvncOtZgPtLMBCRrYC8i4rnPIb6E1NKWseBLf2UC2qqGrZwmFVpvdh6VCmhRymZpt3tGmW 52kT9aAq3WU9UCJ1C27lT+JbPUJ+JsbvvBioKpIvyB1faSJIiDpBW8P/fRL60S879kdSSFLRIJP/ nKyJlNvLDFJivpgeigpGGalJyjhmpbCSt9Xo9YNDH544rGNiXLjVPOoRG+86UCN7QNii1FWOfJBi ceYUTj31FJylc+jeWMXy+6/j4maGXprgrkrgeUCrHQDaw1PLcclAWtauwOiIrMCF4L9m4SIyFFI1 grWSE7zI4WgLsMwk+nhENpIdhtr3izwgLyMbblCkJFRhmSzK4XASU4gTqfjZpVZadvDYpZWi+b0z rKPPWgq9jJyspIaM24h9cxHHZY1L25TbahiyoVEJZpR0ZOLoxht+2MzhicM6gla/ArP9bq94Y2cl oXh17E94nYuDzdoFcmpexQYNjta0gO6lC/jyb/8OXv3bfwXzd+/L4PJFwqLgYDnjtT/FDAps6o4V Gi0MVM6GfVom3LzWczgHKJIh0KeQ61DEV1WgJVIRZ7APIexBMnDkpIGpmE0r58VHSvZaK3pd2EZD 6bCEG79MCZ10jGSnVc6v+sBhx7ESYuVrZHtZDkMpMJkMd6G5s7RNHems5L3EKY6dvdTQakDUaraS CtIPYk8c1iHbtq3iba6+lbOqUsWqnX3SjTxyEuhkOWbCEAOmiMsGcQicffZZLP6T76AdnEXy1vtI b96AxhpaWwq9Ux5W3ASRzpBQkr7IEbgufNcDTCbdSf53WgGby6tY//AKFl5YgXv2FFzKuueSFT4y p/t2zmo/aYSKqjdTNSrMVCqZj+m16UTsmM5Y21DyvPpUkJr8qRicbUGdjigX5z8i1qKIhXKkC0no Ayls2G1kZ9IYypeRBLG84FahXDl/+TDr94nDOqJCExXdjOXxtvOGdqSEA7N2xVeR10k2UUEW6nQF 0v+HFLHIqIScoTcc4FTjDM7+0QX0/uS3cOUnf4/o3/wt2lkkUveb2U3MZEOpi3PfkWCGc4dkLfCp aOw4WFhYxOogw+qVW+isrMObn4WJPJikgOe4iA9oB29HV/MwpssGgo2mSMJXpX327xWUSqAHo0hq DAS1zGO1zyXspGOhCZOkI2pYRqqu40BTfFbZOliWJbZeVUZPjK5En1aAqMZ+FpmJtQSKUkcTaIgd yn5QB/TEYR0xG3UJS7oZ1lIY9FfLrBqxqGpaJ93YdKAOSmxyrA4TKN/HzByQr2Z49/WfIf8//xLr z5xB51/8Fi58/Z9hyw9w5c//CsMbq1Kjmkc2qovnmcGAPyWPVrvbRffFz6PdB5rdWfheICM3qaQ7 JPd79DOk7iBo+50aajqOQknh23otlsRLbJTwtY9rSdJ1Ln+vEPSqJiJTIdTp2qzTUghctgfL8R7p HNrhccvcaqAci26rIjwCdMleap2RgiHsgQrWklOyNlhGWpVG5APujycO64hanTVSnBaPMYuppdPi LR/nojjJFhQcjyHyGhgiRTLMEXYbaLBHtXIHg9d+iFs/HmLeWcYrf/C7Qq8cN6hbSEWdOfSGdyWt 455yu13kfohcOeg3AmStNlpLS2gH8zj3pV9Ba+ksVn0XaeBIPYiZ5FGOrmikNxahCcGv2Uhcoiq5 tbTI1YKx78dxovHoTKtiKCyjqyrCkq40HV9mZN0xwrIRGgv4bLlazTEVTIpUSAeyUnViw4NzokwT TSFTDVQtsqNCI24JPIg9cVhHzOwYyPh+ZXY85QTwyTygEWOVRRl0y0W342NldYg0MzjfDvHypQu4 8+ICWr/4CP0/+w947wdvIRgYXHhqHurCszBX7iDrt9GPIqhWG0svfA5nnn8B6M5gI82EyeHatSuY XVrC7OVLSGe7WFcidgiPJyg9wR5I+h7W9qNTqAS/Z52ENGQcBx4ZrcpCp8BGJACyOD8bYNk1Rqe1 9v6V2uexaXL9VlFyzXPhhQ24jQCuH8LTCp62l8q4DF9laVawiKKEP6tcRpkEeeEoiVjNqJNY2gN+ /wN3WLviTHYBmkyPA9Rv7faPd+W5QjLbUN0ho60Nm8sagr0ayjPlMir8WRyhKOtXlcpatRtGijC1 Qd/jbMsenZYn7cJ+xBpWQ+7f4Df9xneQ/el/DfNrnyK7eg2qUOg+/QzmPv8F4OnLSLoz2Fr5GM9s hejkbajLF4CvXIDrR+h+93tw/+K7uHvpBTS++XVsPHsaaQNoR014W7Y7OMyGUHy/R7CUM4iOHWsR SptSEJW2FzLPZm5gHBdZKSBRUGNQAQ2VS728oYaIcgebmYMt5SMjSwXhIKlBalIYrWXsibUnp3Ju ppT3chRSXWDYH2Aw7KFIU7hOIQ6J+C7WCYeqQKvdxczCIkLnDAIieJUrjorq215RMepbVW6uUYrS WuSEg2Y+FC79WGgBOYhuRxksnnB3EY8jGGHthuevX+Gq1ms9+jjmZ2TNJsQDqmIp29Oj4mkVfbFw WRIZVa+ts3F+huzMP/tTzG1uINvckJOwObcAfeoM4u4cIt/Hr69fxspaD4XjY/HMaRRJjOuvvY3N K7fhX7iAl1/5ErrPPCvUyJICsmBM5+IDntsQufbDNNZ+KoV6U4JRq1kIaR5othGUcLV7FTiWTQpt R4cc40pNyTUGgXbgOwR+5DBpDJNmmJmfQ7PTxkw2a6M0DncrG13meYpUKXh+gKDZgtdoylB5VS6z vaFxJbVGEmFnQQ/g1Dxwh7UbVP9BkK516P/jGAM4TBtFkxLSs4hpPRLbxhQUcEqnJZpzVShekdPV UNcn3frnnwXOcb9QIbrAgDQzjpa6Fa/9l7uzuNlpo98C/CxF8NoVmDc/gXaaaHz1RZz58peQBQ1E HPpNAU0EhLZwhtgrRLL9ME1I90pNQTMiHiQElmh2A9d1hXiPCHQ3534wsjaEK95xEAiWTEnjoqE5 wmTXR5KniKI+vE4TjXJYkMwWdiTHStMzmicbg7CGSv1UC+tqddYRHzeSAaxChzoA9QD2x6FHWLvS Z0zVc+rR1UnijZqUUxu3neUCL4OptgqRl07LpoK2RVynD5HRjJIZ5LNg7hAwrkLmeIRXiYcn20OT aU8BXIkNklMukmKIa9evon3nOloL85h9+ingc5cwaDUQ5ZZK2GeE4dhUJ3YMIs+gdcinCC9UPOY8 9mbUJeYcVy6jOFp58JVBqIyg9JOiEE1BFt+t8ERJAkiHM1oUGRydw6MUo+uK03O0J6FlSmgExVdL IGjVTRyN15QQhtKHjaxO3TOefzQnz2Ht1T5b0dU43bVDpXRcNsKSPg4dUvm4IOHLQYfKUVWR1mfB 2p6NhiSbkzE/RyKJBoegDXAzdDCngNmhh/XEgVmag/PCKbinziINXQwyWzhmGhgyjeK+zuz4iUNu lgOmQN6TlewKiqkeHbKTy+dk1ESiHEvPo8RxeYy6yFlfjnxzUoBlJ6aIkayXDFobqNCFDpoij8bJ ZmGjEFdGB8k6lHVIFZ1OHRpRZy6tggZZdyUi3pIs29v9tsdQdFd7k0Ha8fX3j67qIelxt2mSf8G8 yB1e+Vlwt1e8Kqoac6xZTIu0sUvcQ5lBnnjbUCSQMcjowaW7RyevEFGj0OTQ7RBOHwijHH73LPpn FXqeh55R8IYFlGsjDyLBKdPuZuNolxHaoRs7bjXqbJcuhkPJdLBCYUxZLqZ8BXyngK8LJDlVhKox Y2u8L2wTlPlyHLguMWcO8ogXf0eaDHLx4z4o1yAZGoSapoJ4kQ2W2yDDRm6xauwCVhdIea6IqnDt CWnYCXRYe/A3n6Xoijb5/WxozkInESyCXykn4WlcZDSpWUzVDT4LhfiCqQ0Lw4opzXjmMnUMjOcI T1Y/TpDlBm7YgQk46pNDJSmCXCFQHoxj0IdBlGcICo2QFXfCjCyZ6aGaHWJmScA6DZYGyMwa0Dk5 Je7JoQNTkhrTKZGankPjHv/ONJm+vIwiSVbIWhW1GeOMM5YcoZE9CcX9UtG9knmhvCLaxp5CJngq lux5a0GgMr8okwjsSNsuJKO+qsO933bosIa9b+fkO6rtjA5pFIRWkRdPJiKIKxxOLSKTWsdnBAVP 68Q8ETmsrISZQKIIwkSZB3mM4A3UjC84x14KFH2gRWl2T8PVBk5WIHdI/GegWGQPPDn5WdOK+xkQ Hm7VpFK8kXpRYZHr4qDhwBMgpgWCkmGCn5TAdBLxUQiVoNGWcH5ZckjXJX7KbpOOJ00NQnq9qgbF c8zkMOSrTxMUeSoytbZ26gq8wmgfhfx4dlysdFi8iEqcX14knR1EYB/VHvloWMqIkoCuJKET/uvS u3qPqEuW1hgXR76vzi20i0esutKTMkjj+2z5Hqbt2iWV+oUtIli+bbsQ7WQ+O0DWNUnnkAtO0odq MhVwmD/U1k71biMnuAvO7cBth0W9nYzUdMrM24FTE+ar7pZMANw0e2bV1yGFTGWRsARQFZocwqSg 0SM+LrKW0oJ9cFaMhuSErlAo1U8FU9jFiAy3OmUGDn9UJrADj3CFTKOfrsELAignlI4eP/JsCvjD BMNBgoHXlkI5HXbMaC0pBN5Afx4GjtS2BpFQ1MNzNTR/igyv//iH+PJLL+CjX76BJC3w/ItfxHsf XMXXfuMf41YvQWMRWOsBnTJF5IUiIP+91FdZS8sQeAp+4QsrK/8+gJI6mkSM3CdsjvgWmS9r1lhQ KaEZlGizCkWTO+lALx/7If+z6zZ284fF/WthxxnHVdWyxtp05fdj/aJ6sDwrKmn36bTxqNm0c2Lx +77Pn3Js1axc9TN5oRr/clyOv/FKTsMiQ1FQqYca1w4CEdco4IehHNM4GSKKcyvb5RAsqhF6CsPy 4ibzqCXugKM1wo1F4GhvCE97CF0Xm5sDNHyNlufg7OICGoGLVthAq+nDJDHmu20MN9fRDVsYUmmI 1wjKsZWqR+K4MiM1Mu15klLKMHbJNcIokddPXiOIGeOhZcQn/phe1SGnvBJHxseER3/q/N93hzW6 uu3TQtC7OKzdooEKRmNBbuPUaeQIj1mWaWejx25HiqEyazjuIkoaKVV5oqQhV9QAAByNSURBVJXL gdYSyCfxWB3UN/X9DyvrnnZUe3VYk8ujXHs1ArrJqHF8/I+6o6qscOkMcpg8R24SKaUzWhE0O5Hw LoUwmJolUEUKzUI4aV4cq/VIVecK0FlREgnOitCFokDX10iTFE0BoKaYDTwUcYyz83M4Mz8P7/kX EPgNxHGG2dl5pHmE+Zk53FzewEyrgbsrG2i0OnB9D7GI1xJB7whujA6MutpGOK+tsxL5Sd63FFri 7PjZrCOyGDA5dtwQR4uKA3RYk6Kg47D90Ta6y593ibDYPKqP4FXc6ZUdM381ssrpSjGeWJ3SaYmz Eioa65WkCFo+l4V5OnCRUp/Y1iF+kR347avfdzOmMqOnVe32WtqV1fKubSOsGlL7KJrL2lMJAi04 wI0cIfFXjhGmhiQlTEELlqrVKPchC/AmF5kz7TRGNc2STdmOd5Wqz3fu3MC1a9cw22nD5BmGs11c /fgDFHkitby7y6sIvAC9zU15n63+EGc313Dtzh10Z2ewljg4dfY8Ov6idBUNAbjaOtM4SqADFvjL 71J2r/m5SfXDcgxrY27luMr1y3obC/gyyykEzdaEQWO/dqw4poqjqcxT92W7xSMCT6eeU3dXFRzg uNjoJJvqItoFUUPCjwZdbTWLxhmuCiktUee4zXjsAbjbDRGPiBAnYC/1xo29f8T9FbzEyLiM41CI Q8MjnTPnCIluVw4GcQTP88SZjM65WibB+UFhTyjPS5llrOqhpagqU0Sr4WiQpjGSNEfYaEi3cbU3 FDSXIctoNpD3GQwG4nSUgFcFTGNFPcofiSGk+WG7lhVhoKR+Nf55ubCylijUM2Pcl+C4pEF5bx1z XxzWRIo1EV09+snwyNPsamcmBEsxfPzO1nqkIIDSio20TAur9FAcclW7KrtMVc2LEbcMoN4zTH4Y 3+jeqHx6Te1klT8qx+wmoumJ1Hf0UC0tPAYEiEIYQWyUo2XomU6lPJTifDxPixPh9yFKnX8lRxUc D8r1oIjTkgu/nnDuAlkogJml8+icPoXQVcjjSFhDZ8+eR9hoCTfYSwvnxFkF2kW/t4kgDKF9D/PJ UGYQ/btbCFpdq96dGoGPKOVKtBX6ngxQW2zEmHJG4BAFsWIWu2+DEssBZ2E6limC6VGlT1mtiUfv Ek6VA+wiq+grHnXrFmdy37/v8ibVBXSnGsZxU52ZdrqVsyHKu1yS45pWtUDLVnOFVK6uglxK7gFR 9z6oTR/HB4nQR2Mjxc6EeaMMcPQdj7qrsjZUjgw3M7VNhe+KXcIcWiIUYIGqG1LcJiSBjKM8sTmg 7CAVqs8cjszTVNG3NXF4pJdJcjSDBlIys/pN9KK+sDNEroveIMNcu23LKoz2tG8Z8X0PW1EKo3x0 5hYlkmJ6KROuBOHmtpOphaKnmti2HFtSmnJIe2MdK+mDLK27dVUWQmHTStGArNHX8LgeSA3r8S6G vbE91NOG447p2in6kCunQDUsFqs+RHDP76NcEUfKHnQN1ZkDtqt9jUoAteM/mVAfbYu1QqosvMfJ yZ+eQCsDrTlH6KATpbYjx+oWIQEsyCcF4iRGnGYoPBblR4naPeeC3w0Ep5VGCgunAuQbDlLtIiHy PXCx2osRer4U/YPAQxSlaDcUkn6AdqiRpoV0BomsJ4TGIxyB6SPnm8quZGWi3FNFeCWekFFjNXrG VLHSLJBXElNWP25j5MrONgFKrC2Ecb48Vt2w7VeGeGVniiMEDGFL6lWWDa22nlUx2csZw+Lb/cyW D3e2+oDm5OpUI/xSJRVPyteKJF/4pgTndNg4Lf5rxzPGQ9G171zuX8G9jfn9JYwSSpK8REqXAqLC wSQ1Batdl9SXQK14XVlw4DWe7Y9ftdSszuc9ed3IJg+Pun99q7yt9pEc31rR/mFwaAcN4wuqEIPp lKbzoXOyuCpWtpXwpldQAToPhTwlWDSgx4Gj+ygcT1I9cdqkKxZIAYv2CtHQSC0sCBrYWOfR8AQd 36hmBz2rFOtoV2YsKeKR9ICFsAn0bEmF6aog5rMyY3EY9dnC+2j51OqmFsZgjwedsW0EWdgFu6CU XSMdDg9ERwWSCYho0sPWsOpXwe1GAath3DroxyJpy6v8A1zWdrvSPmqgxBPdQh+qqMXm2fI5j0QQ VkUN9eiwuj/dmd09ravXePZUI9pFf3zCee7wfo9iBx4Is+lQ2y/3dJSPeOq4LjUg21HjBZeD3AJ+ 0AWMdgXMSRPyPlPSJ48Q9I++c+mQslHTrSKd3PvY873TGSUBXIma90RnzaL7WY17IIe1XWF9fLWa rkGMH6+g+xV75oiKolaP2ct7bvv3R1zcQtHBuagyOjFlhMgOyvT2D8Omo9r6SSQnV3kA6t3Q+rBs /bmjJz6A7eKvJhhhH+b1u77/bgd1IoS+17aLmkYdxKnHtt/n2z/nqNhySUPKiJlQBrnAKBbiScLA WUlX6sBZwbqSK11TnotWXn4fKLdr2D5mK5NjKLu/fFRoN6QIskV1y5xEv6HgOZwrYk3L+pE9Oazp ek+V7tGqye7x36ZGX6pUpfwuI97nvbzxHmEL9YjDft4HA6ZS2YOfS64UBTmo7QR81Uk6XJvEDt3b QauAulOOapv9MIJxPMD+YQH/URzSI9cKd3FID2LToz1iUyNL9om1t6+vr9F2ak895OURl6M7LLbb aJHMogqhLhC6dACCwCrHulLbPSTcQNZRWR94BCvFcGyaVwYnVSNrL1vOCmMbRGwikByQRXtVId/5 +Yl3sFFYkT9E0X2Ms7K/61qNqrJ6vYuDmPZ1tWislh4+KjvMo18BqxlIUsOSZbEsWltI+RGIsfan qWH3zdhh7XUTlifgftt9tC7ubrbb+thLDalekLe/2+O600ebvgDXt3PUzCV/g0jj2JSMBMgNU6CF Ao3/v70r23HjOqLVO2fGii3JCbLBeUgQIPn/n8lbngIYQWLF1mhm2Ftwarkbe+OQHI5kl0BxuHXf vn27upZTpzKg4sXnRakWN4cYO3oaS1Zw5yhN5uvaLhOFkVg4aEs+hztwqyHDN0eFLrBHBuNBPURk QLkv4ikDhYDI3vUzM8IvfcA8te+FzRH4rrWl8vPIscyZ+4u/RUEoXxgIQiK4DfIzhQFYAeYVxfjC DC4if0ffiAjVTKasK1NYR6GPVlZdUJs+KSfWvq8r1pXzs7QO8FkxsZ/ob/efx3mFGcdrw2JqvtDR 5AK2CDi8Wr7xokMNQKbt2FORFXRTSsExFnfL16XU9p26vs3CcmR/ChQFfY14KMs3PA19OWVlVhbc 1TEbGLzajzkrWGRAy2NjKKF1JWhUQay6gK+eWLhVnBUM7uZCOeEX2da745YL4rl3P6XIY6wKlBa3 3XY1iBdi0j/BqkotFpfKD2iVbeFMibmF56pGuHRQGi3Pl2RLX8YptgdzqxNw+Kzieo3WFYTpk1GK A+VTgHMdCqmjx6Glseup73uquaFGwwqrc7zvBccfT1VYUZBdeeeZrw2KZ8OkqecnrCSsfAX0JbGs jB4MUwYeruEMOCxWVhpqMIVl9W0cwE4WguvreKYFEOOrjl9cYTzIWr+PQSD+2jKlqCL3m++WPrDu MvjBnPjA8/FB1tUFvbK9U0/z+qI/7SRNKaj0+ZT1dWnpYZtkJYFlCAXHhiaXrjewtDrKx0pIBBQp 76iHtCTmLKKuIG9Swk6bNh04Dm5D4KxnV5HrCgu2INnCggXJ+IwALRxtSEW4rvCeFGJyxbU+btES yECLal75wlKjtPBjYhMaFxHKB5KY6lRGZy3mai6Jz4rFa3itTdOQA9ui2ShlXmQlzPSwGXcGwQno ezVT3Z1ZuzJbRemFLBBJRMcnNUxH2/YtOO5wSbpbMG6awG3gY9U7IccZjsEcTVkh42kKL4ZoyOuu G2i/31PbtrS7u+XPUeuG1yhD2e12jCtq244+3P9ETdPwA+/hHOFiBcsDsmSAMcFVYsCiosMRdgZz wGxfQKf1vYEdhxnUvd7g8jxxLZ/UziG4nBlvGSPQsf0VoJs1npyTXPi2ik56/Qk8p6CuvKP7LKO/ VQ9igVFLDz2+K30SOQzC9y/mMuUwCAMzwZwQlMBY6Vd6nuxvd371XohSZegHKQgq6NMgeD8I3uMY V1boMxhR/QKRdYmJLpgxlZVXcI6k/DtSEOHqUi1sI9PSDygpG3Q61R4DFFAaz89zfF6u3NQ4Rb8f Gwv7nOScyc+1+VlFJeQW7zSroGdl9fj4yArqsd3zucH7zD5QFPT09MTv4XMoqlPKer4UyYKsMVso OvH7ykU+FdQprZigyPVPnz3WawCWDcptQMds7SSi+6D1DAj+PhyPnFemT2SjxpcGmYd1YFxNSNqz gbOGkgL3PAYhCIzrKIMBYoFBC+NgXXV1alZbdfiEOZ1qaFgu0QBD9+WFF58pLR/zEAKx2PIMs6GX H9Oc1fu8bSUYriO3N6nEVyZBUufzgvMfcl956zUTFoK6cufFLCdQqXADBJSdTBTeh+fvVAnnye9m e3H2pWVMri95T+YKzz9BOY3SeZqZE1iJSAAeN4l9DgtIQzlC8Sm8aexweFt+ysKSbS2vpYJpcQQu xCWNjLSX7plbEm9plrj0Nn2cjTKXxxgCeeeqsCxeZUZSujAirJAxXoZ4oWCCD8YcWGYvQbQ2t+DD YPbSwr/0og0Xw9TiXP99rPhTpbWa1MiWFSgzRGzY//z2vXst1ju6tZSsmGBVwZ0JYTP2tykvpkVR RZdu85LyGpTVlEI1CIcprR9atATrmRkUNhPI9PgvLknzlSpWngb4A9PB8LugPI7hIFLF4vPMoJWe h4dYVi+XEjuUv+kzQK4SL15zieOXZXFg8sWsjdZI0RQVIz4ssp8MzmWfwhPq0vJxltFNcrChSfqX F5BUaYVEcoNq6ymYwEss2nNZWLGiOs/Y2Y1b2cxajKssQ5dQ7vJQVHD38Pzx4ZOUgAVKiRWZTsy7 d+8OWEkP0P1nlNDKkp3Qq5aPLeA6RBX6NOKGgDZoGVgVNDoajJ9ZPrSzs7mC1uc5DPFEruBE0iuy wMwAsh8Daa9adgsfnVYW+dcIAqY7Cx+hNWVxK79GrTG6/60fvMbAAiqP6GD9ANzB2SBChDmCgdcQ p7QW41zrF/45WCGWynO2/HbautrmNh3CKOisAqYAm2u3ZtTtE2tLkzMcRC/YarD6RryOiOsulMlL XZ5oSq6ssLKJpJUjG4CVOlacULLYFHCTKHNRxhdC5Yv+SgkM4vMtCYJ4R+Yh+Zj1/NisBQjgQr0q ILBK2LW1hhqSlJiXEhmDdCfRgxkpQWXh4QuGDp8bpG2RNayq8bmFH5uzXnl6ds2XcwlDhessrNHD BmwhvCQ1jezqNIvoXNZVGl/cksZd2xesJfueKCisGWnuOQwVNbc7t47wGb6+33ca4wJxXTy2S0qo DF9LQiabDHh7RV+g9erQUYbGskHWD+B4S5Dpr2gED1WQ9HbHebCD4DEzB25+3HrznbQsGM5JlpXj q4v4G2zgpH6wjycIbgBBO8NZcNqf3VAJ6rm0+8ygxSScP7nxhE/M/hUXheGWlgK7LzGG0E2W/T93 O68j7hJKXcNq8mvQQ0jEkiobBNh9vM1iNJTc5U3CQ7Qg8rllzbK4hoxuEkLYDWA5GfVdRWMHW6cT iANgBzrXqfucWeZQFdcWdqG5uTCDx+kO9dBYnQT4wSXRLnVOSrTZmR6FPJowPqAdN0TnSTgtyiLo i2iTNhGzRxscYHiw+grtuJekVQUsJq8KB2q1Swy62MqbAkTTzhxmuBXgi6IYSwZkbW+NHBi2C0sL 9BxKN6t4NB6nntk0w2VjahnxG19o7hg3nDC03QutCN6GxhlkX2tBouJw/4HrgO7ASxLd39zN2I8b q0CUTO/cEIMq8EIGze1MfJCVKPpYTcBcbD7HzmevLaNcAxyH/SLtlUj4DjbZ6mKUcEYuDT+12SqT xk0ou/CZeZlswxNTvUMvPmvlbiVpNhYHpBYGEJlCjeMi2Jydr7Ync7MkHXZd5s+2z3ivgps6g7FF XnnedLO4mM9OM4V8/pKmLeFc4AkNXN3bE/PTqaWHbxVo+jr2VILuD+uCiP6d3UWwFoitIb6GE5xj uYo4f0V3keW73XYbfdLMfda+fb4kVVbuPYP2Ty7465f+nCp2PcdB8UAh6Xk5LD7W8xb0TZRnipI0 YiXNCyyGxc9dthpTjVq1OFZqsIvQagqX0anF+fFYXp91lkFRBTqBbzoumRKft5ktHLU/5r3iYm0p iwNBJFvYTDCp3F2qrPjGlyj0ydKc1zKZz1JaC16k4cvC35zadzFUVGFtmvv+0iucpA132KlA+7nc uzUojGWJ5vYZosrltbzn3DZLW0cVEPLE4QKF5odKDDGszYe3VlzNtKuiIYy0TjLrtr/D2Ophlmtd QpfVhWrMD4qU9cFbV5Uc1o30MJUiZn5T2RN4zk4faESTxd6NdXUWBcTKKjgnuLaUIPUA6R9ZWO7c PAPvcy2Zy9jYwjj00WPGzuP2dagwrLTJntOsTbyPQ5dwlc1gYXGf4/ysr8fDzOKcsjS307uG0nbc X8x+juzegaxV+tvw/KwpZum8Mi9cFhMoKzF4GV3Hn7tfh/MQ/F2u1C5tYb6YSji5myxdV7JsWmlh XrgAeY2h8QjhmWRlBZh9Ls0xOmDqhRE1XF/mQqcW9KKF9bkpLM4RzF7c3FLU/ebY+4a5Nh5Ldqig ltK7NsLnIPjtTh2d0DOdmzWXJw9MsKkx24KWwLksOrG4xKTnWk6Lg0TnSl7ge6lCM9lyc1+zABC3 8qUkkq0K+dimPPLYDdpGAe2sq9nvaWxIYz+JsXk1yYLMPrinuEOOWlhTQe+jtx/NCQL/iPTLnIJc YBxbXx9rlq0bmUFTJ3BZaZbwc5HQfJ/+PFESz7Cu5tyxJcUeugdhkDkYWbSt2X0HS/oSWb5NFCAL ODCmKJkJugNjhXLrUMGG54uDvP3huguTBGa5PpdexixYUVLCiMmbtGOaoCcaj2Bc5Qz6xPqbuimm VQbyRbqqZI6vXMqgwb7LSPegumVJjglxyc0xvgHkWbk4D9w/MZBZepnUPXytEgYx0yGbyZ26Gce4 5WFMQn6vd+nkAku3axfc1KJNjmDz8aWurA7lJJFucOsWzJKytJiVKCx5D1gpFClXhcS4DPgJsbIR flDlPktjV1tKs6wSY0lceEAOxGG4ca2mFmYUC8X5W4Xyh1bW+t1Q1sShdX4tATZKKjpkksw9ND22 5hCuhWDNo+ZpDK8PO3aNcaZzMXeNRgorta7OcUG8FjlHZjAEkJqEcZfYQrDFKxez/QvNXrH4Xllj wESm0PHx8XsL0hQWF9Xu93R/f0/U/cTKCMh1U1jGyoDn+vY9v49CZjxcfGtjs1O0qFoS7rkSxIs8 860ncIoC4eGNJyl8n54fP0/HygZ9/CKS2U2YXyghn2YPz50cSF1wzYccXD/2nB2Lw3rt4i8YiVHJ s1e2kUsVmrh6bJ3yEXE8A1xBxruTqTrnjxfAsRMuSxjj6gZpI+4GGyo+j8ZdOL6QRSP9cPm3vH/T kUFm08WR8Vm7V0VRUMspS5TFyBy27UB5CctH+iIyJYjBGHQxfeqfqLlraBwK+vgwUNMTvWnQUPOe Pv3nn9Tcf0//+v57rg18+/YtK6cPHz7wNlEH+I8fWvrTn/9K3/3l71TtiD4+yn7ROn3XZPQoOl/g CFp1gDnnzDjcl+6Qghv/2TFmlSgdPrS+Yx4qFP5KqVlG+7E5AKYGp8pZjMVEFQfEkTxOBNbDEjQ+ 59mhVTJ04vYiyYqvOFiTYg36C3e67VzWIR6/7fVUfr80qZHCqPglA1h1v/qGhREkJO/lrJ2fvxR5 6fKbS8qcPnTXRVHTiDIJXjzSzABHLoR3HlDr+nkq6Z8ZKFVZUr8HCDAX3vC+o4cP90SPD/Trr+7o 6ze/p6+aG2ZVePPmDSuqb79+y3OM19VXT/T+6ztqspayvqJbpLhL4ZsEH0qRgW4PQF1YcFKSM44l 0+VyfwVHGRIcG3eIgQyUD4KUB8BXaHw1ra4wlNsA5BorLPlj7xj8Dq2Nc+KpMLaL96x9heJo06MO 5QLGxftpm7dfFNZCgP65SuuYn60t+Odixdzv7T2zGNJUeiFdS9gK0U8AjTLXTL04b7FQ/LqinMn2 0P337qamcWjp4dOPtKOO/vjb9/SH999wLAvuHyw5o4TB3OL17378kcpqxwW5fbanYYfmCCWNfctW 2T3Q0agjzEehOgJx37hnhcUg6EyySIytwhGwZeMbTTVcr5YxBxPj3rDks0LiNBi/MmJOJ0aIWpLO xxanP/dtzPjWzC3i/phfxr1yk0RuoMW77MOJzPHPXmGlfvOB0to279E2/OuXDVKkMR9xi4eDuxkD 82xxBC6t0QaZ62c0wnKhSvGq+7q60OU4UDP2tMtHeltWTNT2dFvTTbmjb795Q1WeUX17Iz8xWEgt xHtQYt/95h27rfu2p33f8RjgkiJ7+MRW1oAKfWqKnCrNaaORwhMYSGmgR0VNI9tl7iDzl6vyust7 ZgdAk84W3VdooB7MARo6kFItVdhB7aHNZWXYVsUiHMIgTj+/Yt1a0BsB8OmO6l+keAM2Kmsyqm9H +a3ys1dYc9Q4p7iEHrV9nRqMMItoh2FNLg1Eaa4UKvnsOzViO4wahGJBHA+meSs1Xvweag9hAUln bAAAUUtXVQ3VBdFt0VFd5FTsfsUxwCrP6f7hgeq6ZssKFpNZVnhGYP4mq9kVqhFbgmWEpgmwgEAu lw00NJUovdLXPaI+sGqJWu5TJXAK6SoOvvKcFXOeV6x1d2PPgV00En3kNu6o74TVVfDF0BXifoTc XmZdsoWprJpch6puJU+Xae4TS6vcz0Htolettc6S9+mLllwztaasXD2mU1i/uISRpHCBUGkds17C 2Mcxyu5cobIQGxbqSASYLQsERcMeXtDUtuYOJT3l2UhNxTBLyvqOL3b0acxxxfaS6cRrEO6VSg0y DKJIbuuCe+Hl7RMrl7Kq+UqEq1jXJTUNlIdlEAcqS+O4Inra91RXBdUl2Lp9tpGtjKrkL7Hyg/IA GyaPQ4rCqxF9+KwkShQsk0wy2SS2k1PRDrz4uyynKh+5KUTLnZJxTBn9rxe6ZXQfwsMmMUOiIc95 v7igOsTMQsCuUQ2dqXh5dEpL/E6up/vClRUE/POwyoV0QB6KNRbl9UvQfbvSOkXSurnV751ZXNbF Ckq1P4olq+zz3bhnrqSqyOmmLqiEVYNyCbh7eU9FDhdK4jyIU+0qYQnli6vv+QJrCqCpBhqyli+2 oQejB7r2VjT2DzS2e0d5zE0mYEVpsfSQNxxHk64ygs2CoiDEsXJYfbBykF/vOaNmUnHT24z3y+4g H1MnbitPrLjDoI1DkB3HAZVYjwW1+cgxLQR0uxY2F1Q2vifbN9wYHmN+I7EyLWJ30BQE6/Hcn8nC 0kSBNG1QcC7m4dqdWi8tCvlh8DFijcz5LsSdk7CGiw/oM5FzKKrUujoWRT49ru0XxBSOLqxkyJL3 8AyXCZdrU2R0B6sFHWpY63SsoLr9J4ajs8IqSyqLgcqh5ExcjkBTUXH9jcAhpRdeB4usuKWiaajf PwkokXtR8QiEbgVWUAElhuafMGNayjjHzlEljjXtB7iPCgvhbhUaIEebKFD8ctNbUZIWswJsQTBX SlXiGADQhBOxq5Eqdu0Qos+prIQfvu895orpg/Xx3yeliQmSFhz308m+xO0Gs/lzujBHjfUaPEks K1Fcaeb0/wwPXyKUZLr/AAAAAElFTkSuQmCC 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 0.000 U.S. Counties (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. Counties (Generalized) represents the counties of the United States in the 50 states and the District of Columbia.</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. Counties Counties 2002 2004 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. Counties Counties 2002 2004 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, 2004-01, 2011-12, 2010-03, 2011, 2011-10-27, 2012-11-28, 2013-08-15, 2014-05-02, 2014-07-03, 2015-05-19, 2015-07-09; ground condition: 2010, 2012-12-31, 2013-07-01, 2015-07-01, 2015-05-01 2011-12-01 2002-01-01 1992-06-01T00:00:00 2011-10-27T00:00:00 2012-11-28T00:00:00 2004-01-01T00:00:00 2012-12-31T00:00:00 2010-03-01T00:00:00 2011-01-01T00:00:00 2010-01-01T00:00:00 2013-08-15T00:00:00 2014-07-03T00:00:00 2013-07-01T00:00:00 2015-07-01T00:00:00 2015-05-01T00:00:00 2015-07-09T00:00:00 2014-05-02T00:00:00 2015-05-19T00:00:00 Esri ArcGIS 13.4.0.55405 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 and geospatial data 25000000 ArcUSA™ 1:25M ArcUSA 1:25M 1992-06-01 1 Esri Redlands, California, USA Esri vector digital data publication date 1992-06-01 Attribute and geospatial data 100000 Dynamap/Census Boundaries v4.0; Dynamap/2000 v. 14.0 TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0 Versions 4.0 and 14.0 TomTom North America, Inc. TomTom North America, Inc. Lebanon, New Hampshire, USA vector digital data TomTom® Dynamap®/Census Boundaries; TomTom® Dynamap®/2000 Versions 4.0 and 14.0 publication date 2002-01-01 2004-01-01 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 TomTom MultiNet Administrative Areas TomTom MultiNet North America Administrative Areas v. 2011.12 and v. 2010.03 Versions 2011.12 and 2010.03 TomTom North America, Inc. TomTom North America, Inc. Lebanon, New Hampshire, USA vector digital data TomTom® MultiNet® North America Versions 2011.12 and 2010.03 http://www.tomtom.com/ publication date 2010-03-01 2011-12-01 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 Attribute and geospatial data 2010 Changes to Counties or County Equivalent Entities: 2010s 2015-07-09T00:00:00 2010 Substantial Changes to Counties and County Equivalent Entities: 1970-Present 2010 document U.S. Department of Commerce, Census Bureau U.S. Department of Commerce, Census Bureau Washington DC US https://www.census.gov/geo/reference/county-changes.html ground condition: 2010, 2013-07-01, 2015-07-01, 2015-05-01; publication date: 2015-07-09 2010-01-01T00:00:00 2013-07-01T00:00:00 2015-07-01T00:00:00 2015-05-01T00:00:00 2015-07-09T00:00:00 The following steps were performed by Esri for Data & Maps 2002: Updated geospatial data to match Data & Maps 2002 U.S. Counties. Recreated ArcView GIS legend file (.avl) and ArcGIS® layer file (.lyr). Copied projection file (.prj). 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. Added Kalawao county of Hawaii. Created ArcGIS® layer file (.lyr). Created projection file (.prj). Ran ArcView GIS Avenue™ request ExportClean, and created spatial indices. Converted the data set to SDC. 2002-02-04T00:00:00 TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0 ArcUSA 1:25M The following steps were performed by Esri: Updated geospatial data to match Data & Maps 2004 U.S. Counties. Merged county (FIPS: 51560) Clifton Forge, VA into (FIPS: 51005) Alleghany. Added county (FIPS: 08014) Broomfield, CO and adjusted surrounding counties (FIPS: 08001) Adams, (FIPS: 08013) Boulder, (FIPS: 08059) Jefferson, and (FIPS: 08123) Weld. Converted the data set to SDC. Created the projection file (.prj) and spatial indices. 2004-03-10 TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0 ArcUSA 1:25M The following steps were performed by Esri: Copied Data & Maps 10 U.S. Counties (Generalized) and renamed it. Removed all fields but FIPS. Updated generalized boundaries to reflect recent changes in the Alaskan panhandle using Data & Maps 2012 U.S. Counties. Attached and formatted the fields from Data & Maps 2012 U.S. Counties. 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 MultiNet North America Administrative Areas v. 2011.12 and v. 2010.03 U.S. Census SF 1 USDA Farm TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0 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: Merged Bedford (independent) city, Virginia (51-515) into Bedford County, Virginia (51-019). Changed the names and codes for the following: 1) Kusilvak Census Area, Alaska (02-158) - Changed name and code from Wade Hampton Census Area (02-270). 2) Oglala Lakota County, South Dakota (46-102) - Changed name and code from Shannon County (46-113). 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 FIPS field so that all the 2010 Census fields are together. Put "-99" values into these fields for records where there were no matches. 2015-11-02T00:00:00 Sources: 1) Esri Data; 2) Changes to Counties or County Equivalent Entities: 2010s. 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 20241206