20250527 07400600 1.0 FALSE BOUND_CommissionerDistrict2012 002 540151.567482 603451.332614 135178.822436 221607.089868 1 Projected GCS_NAD_1983_HARN_Adj_MN_Ramsey Linear Unit: Foot_US (0.304801) NAD_1983_HARN_Adj_MN_Ramsey_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS[&quot;NAD_1983_HARN_Adj_MN_Ramsey_Feet&quot;,GEOGCS[&quot;GCS_NAD_1983_HARN_Adj_MN_Ramsey&quot;,DATUM[&quot;D_NAD_1983_HARN_Adj_MN_Ramsey&quot;,SPHEROID[&quot;S_GRS_1980_Adj_MN_Ramsey&quot;,6378418.941,298.2572221008827]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,100000.0],PARAMETER[&quot;Central_Meridian&quot;,-93.38333333333334],PARAMETER[&quot;Standard_Parallel_1&quot;,44.88333333333333],PARAMETER[&quot;Standard_Parallel_2&quot;,45.13333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,44.79111111111111],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;Esri&quot;,103768]]</WKT><XOrigin>-119096800</XOrigin><YOrigin>-98462100</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103768</WKID><LatestWKID>103768</LatestWKID></ProjectedCoordinateSystem> 20250917 08530000 20250917 08530000 Matt Koukol Ramsey County GIS Manager 651.266.3463 121 7th Place E Suite 2300 Saint Paul MN 55101 RCGISMetaData@co.ramsey.mn.us 20180730 ArcGIS Metadata 1.0 https://www.ramseycounty.us/your-government/open-government/research-data Enterprise Geodatabase Feature Class BOUND_CommissionerDistrict2012_ViewOnly 2018-07-30 Ramsey County Ramsey County Enterprise GIS This dataset contains polygons that represent Ramsey County commissioner districts as of the redistricting process following the 2010 census. Commissioner districts are often used as boundaries for analyzing other GIS data, including census data, tax data, and county services. Matt Koukol Ramsey County GIS Manager 651.266.3463 121 7th Place E Suite 2300 Saint Paul MN 55101 RCGISMetaData@co.ramsey.mn.us withheld Minnesota, MN, Ramsey County boundaries, commissioner districts, county commissioners, political boundaries ISO Topic Category 19115 boundaries commissioner districts county commissioners political boundaries Minnesota MN Ramsey County View Only None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the publisher would be appreciated. EXCEPT AS EXPRESSLY STATED HEREIN, THIS DATA IS PROVIDED AS IS WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. USER BEARS ANY AND ALL RISK RELATING TO QUALITY AND PERFORMANCE OF THIS DATA. Limit on Liability: This data is not a legally recorded map or survey and is not intended to be used as one. This data is a compilation of records and information from various state, county, and city offices, and other sources, and should be used for reference only. In no event will the County of Ramsey be liable for direct, indirect, special, incidental, or consequential damages arising out of the use of, or inability to use, the data, even if advised of the possibility of such damages. Specifically, the County of Ramsey is not responsible for any costs including, but not limited to, those incurred as a result of lost profits or revenue, loss of use of data, the costs of recovering such programs or data, the cost of any substitute programs or data, claims by third parties, or for other similar costs. None. true -93.228202 -92.982974 45.124277 44.890922 Commissioner districts are modified following political re-districting activities. Attribution may also be changed following election of new commissioners. 2012 Ramsey County Esri ArcGIS 13.3.0.52636 1 -93.228428 -92.982569 45.124525 44.886895 Attributes are populated from a compilation of records and information from various state, county and city offices, and other sources. Accuracy may vary by source, but domains are used wherever possible to increase accuracy. Information is visually inspected and corrected as necessary. Entire Ramsey County coverage Digitized information is generally +/- 7 feet; some areas have been found to be +/- 30 feet. COGO (coordinate geometry) accuracy generally is +/- 1.0 foot. The Ramsey County commissioner districts were created as part of a redistricting process following the 2010 census. The boundaries were created by merging Federal Census Blocks which had individually been assigned to a commissioner district. http://www.mngeo.state.mn.us/committee/standards/mgmg/metadata.htm ADMIN_CommissionerDist2012 Feature Class 7 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. District Ramsey County commissioner district number 1 7 District String 12 0 0 Name Name of current Ramsey County commissioner representing the district Name String 43 0 0 Population Population of the district based on 2010 census values Population Double 8 38 8 White White population of the district based on 2010 census values White Double 8 38 8 Black Black population of the district based on 2010 census values Black Double 8 38 8 AmIndian American Indian population of the district based on 2010 census values AmIndian Double 8 38 8 Asian Asian population of the district based on 2010 census values Asian Double 8 38 8 Hawaiian Hawaiin population of the district based on 2010 census values Hawaiian Double 8 38 8 OtherRace Population of the district based on 2010 census values for other races OtherRace Double 8 38 8 MultipleRace Multi-racial population of the district based on 2010 census values MultipleRace Double 8 38 8 HispanicOrigin Number of people in the district that reported as of Hispanic origins on the 2010 census HispanicOrigin Double 8 38 8 NotHispanicOrigin Number of people in the district that did not report as of Hispanic origins on the 2010 census NotHispanicOrigin Double 8 38 8 NonHispanicWhite NonHispanic white population reported in the 2010 census NonHispanicWhite Double 8 38 8 Population18 Population reported in the 2010 census that is 18 or older Population18 Double 8 38 8 White18 White population reported in the 2010 census that is 18 or older White18 Double 8 38 8 Black18 Black population reported in the 2010 census that is 18 or older Black18 Double 8 38 8 AmIndian18 American Indian population reported in the 2010 census that is 18 or older AmIndian18 Double 8 38 8 Asian18 Asian population reported in the 2010 census that is 18 or older Asian18 Double 8 38 8 Hawaiian18 Hawaiian population reported in the 2010 census that is 18 or older Hawaiian18 Double 8 38 8 OtherRace18 Population reported as other races in the 2010 census that is 18 or older OtherRace18 Double 8 38 8 MultipleRace18 Population reported as multi-racial in the 2010 census that is 18 or older MultipleRace18 Double 8 38 8 Hispanic18 Hispanic origin population reported in the 2010 census that is 18 or older Hispanic18 Double 8 38 8 NonHispanic18 NonHispanic population reported in the 2010 census that is 18 or older NonHispanic18 Double 8 38 8 NonHispanicWhite18 NonHispanic white population reported in the 2010 census that is 18 or older NonHispanicWhite18 Double 8 38 8 Housing Housing units as reported in 2010 census Housing Double 8 38 8 HousingOccupied Occupied housing units as reported in the 2010 census HousingOccupied Double 8 38 8 HousingVacant HousingVacant Double 8 38 8 IDEAL_VALU The ideal population for a Ramsey County commissioner district based on the 2010 census IDEAL_VALU Double 8 38 8 DEVIATION DEVIATION Double 8 38 8 F_DEVIATIO F_DEVIATIO Double 8 38 8 WhitePercent White population divided by total population WhitePercent Double 8 38 8 BlackPercent Black population divided by total population BlackPercent Double 8 38 8 AmIndianPercent American Indian population divided by total population AmIndianPercent Double 8 38 8 AsianPercent Asian population divided by total population AsianPercent Double 8 38 8 HawaiianPercent Hawaiian population divided by total population HawaiianPercent Double 8 38 8 OtherRacePercent Other race population divided by total population OtherRacePercent Double 8 38 8 MultipleRacePercent Multi-racial population divided by total population MultipleRacePercent Double 8 38 8 HispanicPercent Hispanic population divided by total population HispanicPercent Double 8 38 8 NonHispanicPercent NonHispanic population divided by total population NonHispanicPercent Double 8 38 8 NonHispanicWhitePercent NonHispanic white population divided by total population NonHispanicWhitePercent Double 8 38 8 White18PlusPercent White, 18 or older population divided by total population White18PlusPercent Double 8 38 8 Black18PlusPercent Black, 18 or older population divided by total population Black18PlusPercent Double 8 38 8 AmericanIndian18PlusPercent American Indian, 18 or older population divided by total population AmericanIndian18PlusPercent Double 8 38 8 Asian18Percent Asian, 18 or older population divided by total population Asian18Percent Double 8 38 8 Hawaiian18Percent Hawaiian, 18 or older population divided by total population Hawaiian18Percent Double 8 38 8 OtherRace18Percent Other races, 18 or older population divided by total population OtherRace18Percent Double 8 38 8 MultipleRace18Percent Multi-racial, 18 or older population divided by total population MultipleRace18Percent Double 8 38 8 Hispanic18Percent Hispanic, 18 or older population divided by total population Hispanic18Percent Double 8 38 8 NonHispanic18Percent NonHispanic18Percent Double 8 38 8 NonHispanicWhite18Percent NonHispanic, 18 or older population divided by total population NonHispanicWhite18Percent Double 8 38 8 OccupiedHousingPercent Occupied housing divided by housing OccupiedHousingPercent Double 8 38 8 VacantHousingPercent 1- occupied housing percent VacantHousingPercent Double 8 38 8 created_user created_user String 255 0 0 created_date created_date Date 8 0 0 last_edited_user last_edited_user String 255 0 0 last_edited_date last_edited_date Date 8 0 0 Phone Phone String 254 0 0 Email Email String 254 0 0 Web Web String 254 0 0 LastName LastName String 50 0 0 GISWarehouse_GISPUB_ADMIN_Commi GISWarehouse.GISPUB.ADMIN_CommissionerDist2012.Area Double 8 38 8 GlobalID GlobalID GlobalID 38 0 0 Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 dataset Esri 9.0.0 7 Simple FALSE 7 TRUE FALSE iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvQd8HPd1LvrNzva+WGDRewfYm0iKRaQkS7RVLMmyJSeybxzb uSlObm7sFMe5fsnNcxLnJe86Lnnv2U5s+cpWXGRZvbGIYu8VRO99ge19Znbe7/wXIAAS2AXAZYvn k5YAdqf+d+abc87/nO+oZVmWoWBexONxfPWv/g76RBMga6DVqdn7clKGRstDFJPs70RcBMdx0Op4 yEmwn5IkQxQkaPVT68iAigPkqfUTiQS6vSdRvn431BrtbT3POx2To/3ob70AWaKxTECM5qEwf33G 9RIJPwRNOxo23Yu7AqEefPH3noFOp7vdR3LHInU3KZgXWq0Wf/hH/xUhP9B5ZQyNq4qgVvMQBAlG kxZCQoIkSTi8twMr15UiJ8/EiEmnV0MSk0gkJOgNGoCIKilDpeLY58lkkpGZxG1AS38EZ9vGbvep 3tEI+kaBaB5s1npwnASVSb+o9WTej7LGFbhbUF5ZC7VauSXTQRmdazAwMIDnn3+eWUwbN27EW2+9 BavVis985jP43ve+hWg0ivvuuw9f/vKX8Rd/8RdwOp3Y/chafO/fvgO9Xo/a2lr8+7//O3v/gQce wMmTJ7FhwwZcvHgRRqMRW7duxYsvvojq6mqYzRas3PwRtl9excGg1zBCE6Uk+zueEKHR8EiSRafm wXFAQpDYi+dV0KhVKWtPw0NKysx843nuunOi9elFn0ViAtvH3QSeN4HnzdBqjYteJ57wI853Q2+q SLucmlehoTKXjaEgSmxsojGBjSU9YNQaHgYtzyzj/pEARFFCSYEV8bgIs0nHlglHEtDrNOw7k+i7 41VEl2zM2ffCgVncXQMe9t0thCuXzkB4eB14nl/S+Pw6QSGsa3DlyhVs3rwZu3fvxre//W383u/9 HiOdH/zgB2hubsb69esZIRUUFOCFF15gn8cSAebi/eWX/xK9fb0QRSIaDSMtIimHw8HMfIvFgpyc HAwPD6Onpwc/efGneO1wHyPHDc1FKHaqoVFroDOYIAoJSDIPJBNQa3WIRUKQk2SV6dAzFEBViQ1G clE5DrFoiLmVep0eoaAfnErF9hsOhcCr1ewzrVaPeCyC9oEgzlwZwd2AeDSEtjPvwT8RRI5l46LX E4QIAtGzWLFtG1Sq9Jd4Ya4ZzWUavPnGG+w7zM3NxUMPPYy9+/Zh0jMJm80GvyCgrq4Oj+1chZHh QVw4e5SN74Wz3ew7Li0tRSQQQTAYRFlZGS6cvcB+0rrhcBijo6N45NGPYsIXgdsTXvBYSsqrwfPK LZkOyuhcg/Lycpw5c4ZZVnl5eThw4AC76D760Y+y3+nV2NgIlUrFiIZeBp2FXeynz5xGIBDAli1b 4PP54PV6sXr1atxzzz1ob29n1lVlZSWamprY+8//8N+x/aFnMDbZAy1i+K3nfpsR5bZt23D+/Hl2 odOFT3//27/9G3bu3IkdO+/DhsYc/N//9I/M8lu1ahVOnDgBQRCwYsUKvPbaa3juuefg9/vR3d2N TZs2McLNz8+HVqtDcf023C2IR4OY6NOhouIBaBYd55Mhyj5UrmyGVp/ZIiPLlYjdbDazh0hXVxcb K4o3/v4f/AGe/+EP2RjX19eD47XYe/EU+45KSkrw+c9/HmvXrsW5c+fYd0HfEz2Ujh49yqzw06dP 45//+Z/x7LPPwhsBPP5I2mNxjw0jmSQLTLktF4IyMteAXDpy7YiQXC4X9r63D3o+F31XJDTXbYHB pIbd6kRj/TpoeAqOctj/eice3/NpRAIhFDir8cieEshJFWQkEAgFcfLkKWy+dxfC0Ri6ekfwyU99 DlabAxPuUfhDsav7JleAiIdIbe/evYx0/viP/zuz2NTq59nNYDGb0d7exm6q//bH/x0Xzp/DkSNH EIlEmHVAlhw92cl1JSvAbrejr68P+/fvx9f+/v/C4SujuJvA84klkBVZVwJk3TBsuZsWvQ7NO42M jLCHBJG+yWTC0NAQWltbMTExgfHxcWZRW+zkOmrh8XrZQywWi+HSpUvsM3pQjY2NsQcYfRf0sKFj oeuJiPBBDaDTqBGRhAWPw5GTx647BQtDIaxrQBcMWVkEuuD6ujwY7giBn+Na9Fy3XtullJsViJyB Wq2DUWuDlJQwGG6Bq74JRjMHtZaCxfGpNaYD7T4WB+FUHKqqqrBy5UpmjdETnEjn1VdfYb+TtVdR UYGEKCGvoISR2U9+/AJzScjyoqc8WXVFRUUoLCyE2+1m1hm5o7TNL33pS3jnnXewfsujOHSmD3cP NIteUhSjGPO8hQ0PPg7VIl2rWEKEK78IT33saTzy6GNob2tD84pViMUFnD9/AVu3bsPRo/RAiGLz tvuxZfv9OLj/bXaNPPepT2Hdug04dfIESkpKWZwyEAyitrYOe/fuY+P+e7//B+x7jEf9yHUY0T/i X/BYFLLKDIWwMjx53RNjkOWiRQ1VUk4iqg5D1keQjIgw6hzIKaiANSc/434CMR5//KW/gtZgBifF UNO4FvfGkohHgtDbXHjk8Y8jHBMwMOpHz0gEH3rsN6GCCJvdAU5OoqRqBXguicqaJngDMTSt2gif 14NQVMIDDz+OpMaIXQ8+gv7xBO4myBSxXiREKYDq1Rug0S1uFpEwOhnC/jNjUKtV4MBBm9OMN4/0 QUo6obW50O8HqtbsQVKW8erBDkTjIgpzV2MoBOi0Tuw7PQKdvhICx6FqTQlbzuHg4IAMXxIYH5fA wYLhkIARdzDtsQQDPhaoV7AwFMJKA3LRNq67F8f3D6ddTkoKiIkSejxu9I9fQWH9KsgeP2RxAhFt GPnS/LM+dGlO345tvYMw6GmmSkY0msrrspoN7CfQec2KNPM0teb0lN/03+kwvd7sacLpvxe7/ux9 zbNvrUYFvV6DUCiOq/fe7OXmrJP+5owEw4hCxnhoEtFEHFIylfc2GwatFrwqNb5efwsqS+shjE2k Ukmm9pUaw9Tf07/PxsCo++pyVpOJEVe6sZnwhtnsbDASZgQ131jwHAenw8ZiZItFYXE5+CUs/+sI hbDSgFzCI8f3Qpaqoebnj6MIUhwTqiGcGYrjXJcPZlM+Os9ek1fVeyXjvvyBBHvK0w2v0aimptdF lsul0/FpqG76pl+8JTL/Nhaz/rX7un7f8XgqNUCnS01KLHS8xD2JRBJasmwW2PX0WvLoaWh59XVk Q+4ckZhGnXo/KUs4NnhpGWMxg3g8eZXoriP3WaCP6BwXGgs6t0d2r8CmNZWL3vdAXyckcRPUSlrD glAIKw0o+P7Q7ifw3mutCy7jD49AcohQG20ocsn41FObWU7OUkB5V9/98SGsbS7F5nUzF7jbE8T3 /+Mofuc3tsFhXXwO0u1CMBzD//vCIfzGRzei0GVLu2zPwCR+9NJxPL56M3JM5mXtb3/rRUQSMXxk VSrlYcJ/Eiu2r1+SS3iz8N0X34cvtHAKw3xYuXYzNFql6iEdFMJKA0pVePfAq5CkMqjZjODU+0KE WVyU42PQWWHOswLD41nfPwVhKQ5LWfEKMsNktrPJi7sVbZfPYc+91azCQsH8UAgrDejC2XrP/Tjy Xu+c97snTsGSX4DJri4UOOugTWTnAoslFp7yvpvRNzSJ/mEvTEbdVddpwhNmJUrZRCImQxIEqDV3 Zy1eZU2DUpqTAcroZLCwzl86jqScC55TXXUBC+pWIq+sGgXVK9B17iAqzPWU0LDs/ZBNYDBo8N6h VvaajaW6l3caKMb03qE2DI/6YaK0jul4NoA8sx26LN6gPIwY6LiEmtWbcTeiu6MFwq5m6HSKhbUQ FMJKAwryGg0mTE9Gy5Ax5u9AeeN2FnXVmyxo2rJncTNsaUC1Z889cc91U9qjEwH88OfHcLdAryVy lRGfZSmmir1llOfkYVttM1SzxorGd/bfN7x/vRNa491rpRpNZpaTp2BhKIS1CExPc7v9PShctRFm a+7MZ7OS/aJxAeFoqhB2OaR17eQQFUPTzOFdg6l77a0DLbBZDeycqBh41O1HhSMfPMXkskhQ14JS DUiKpriWLF4F/xmhEFYaUIylu7cdhmQzs6LUORY4XIULLj/hCeF/v3Qczzy2Efm5lhveP7NAlvjE JZJY11CA/BwTogkRvmAc4UgcJqMWFqMOdosOfSOprGutmmeZ1/m5Jug0PIIRARc6xrCpuYgZjZRD RAoGFHYKx0RWRkQTATazDhc7xliC6nzQJw2QgjziUmqyoMSeh4bCkptKVgSOkzGVknVXIuD3ZT2u 958NCmGlAQVA16y8B53n44gmApBMIrg0d4TFnLIqfvzyCTz7+EYU0OzhLYZey+PEuV401eQzV4zk TELRBFyOPBw63Q2dVg2TXoP9R9pQlG/DtvWV2HesE1vXVqBn0IO1dQU4eaEfV7rG8OGdjRgY9aEg 1wJfIMbkbKwWPY6e7oHVZrq6T5JcIdmaSDTB5FQaC0tRZM+55ecuy5S/dmcwlornlkw++YUlirRM BiiElSHofvTEfjjUG9DrPo/6xofTLk8WhNNhQmevGxPe0G0hLMrp2rCyFOdah5lFNToRZMoDdose OTYjqspyceZSP4LhOEuQDEUS7EUzlE6HEZc6hlkOldsbZnpPpPVEmlHeQIS5dLQeWWuUtDmNNw+0 4HI7KQ3IzC2+fZAQDbshJ5NzXPXbAXLnma7WEtDZdhGCsFWZKUwDZWQypDXcf99HcO7IJHgtz27c dAhH42y6vrLUiZxZFshyweRrwM2UfywCBp2GzczVleciEIpjbVMJc+XycswIRwV4fSEU59tQVuRg dXFkNdWWO2HUaxGNR9HdP4mKklzmLpIDR8uZTXpYzXoIYhLBUAxlxTnoHPCx/ZFMNKUtmDVG1OUX QcOr4bKkTxq9WVCpdNDrCyHLSXC4vYTFkuQzlB5di9r6lUxHTcHCUAgrg4V15Pg+qIVaRKQoNDpD 2uVdTgs+8egGWEy6JdWQLQQiE9WU8uhiEQjH0dIjTKmUquAJJRjhTQZSsjITgThTxiQyJGvMFxpl buOYb4jtKy/PgfPtY+C1Wpy4PMKW6R7yQ0VkTfcfr0HfaIBZUuy4SJmT55BjtjJX8HZClgVEI3Se d2cBcW93G0TxXsXCSgNlZNKAtKU2b7gP5466YbOnV1wgEBEY9ZpFk1UCXkQxvOANFoGEhJjAz14/ A41m9leV7oZMF9hOVedFY0RaKnz6Y1uY5bUQyKIi1+9HvziGSSr4JYUvQWKa9uT+Tsuh0B4LS/Jw q0E1d4KUZIRMx8NxOujVDTi77z0YrAbUrN4Irf7GLd1bhbqmNYqFlQEKYaUBCef1DXRClAyYHOsA sDu725/K8NIjRYZECFeVAtjncXDcMBqqXXDlZs/NisUEvPvBFXh94bSERYhE43BPhtBUUIZcsxVa klxWqVlcbKYYmYPpNnR6IUUEkvRhxcocxwLWObZ6JJPVGJ9omVLvvHswMTbMmpoogfeFoRBWGtCF k5tbBO9gGAXFzVnfPgceKvDQYX7rJIEoi5s11xeiojh7FkzfkGdJggZETPlWO0ocM/lndy7I8tNA ksYQDRdCFASopmZ2tXrDHV22Y7bYFBG/DFAIKw3oyU3uHcmWDPSdQfXa7Oqhy1Bybm4WLKbVGG+L Ih4PQq0RkEhEYc6PoWblTtypEEXqaHR3xt9uFRTCSgPKoxka7oeKs6Ou6YGsbltAAHG4F7SubiYo E59cz8WkIKRiQ5lnKo0mDUSBWlxxTBPLaFQzTSj6WzvVdJYazHJTsTHq25hqP0aTG+QGcTAaNUy8 kN63WLSIRASmBSYISda4ltZhbbXCmY/bak252azemqoQEIJWl71uQTQTSzOm3f3j8Ici2LS6Cka9 bl6BwMUiHAoqhJUBCmFlcAlrqxtxangE7tFWFNU3ZWnLMuKYIDqABrc+V2upgW1yS4WprPV5l9Go YMwXsLa+FDEpgVhYQq/bjWKziammjnp9sFuMEEnjftSHe1aVo7fHj9ICB7r7PRjtTaBpjQ1jIR+s Io88ox09/hGsX1kCX8IPo0aP8jI7zl4eZLWJxnED3GPRJZ2HLIcQDZEE0I279qMTPnxwohODIz6E InE2l3Gl0411K4qxeU3NsrerJI5mhkJYGRRH3znwGuIxK5wl2e0grGJDn0QMI9Bg/oD6jJblnf3U pQC8ycZjKORGSYENx1t78cS2dTh4oRUOowY7Gypx5uIQVleVsiB5ca4d7f1jMOVwSPQnUFZmRYQL YUVZCXxiADwnwijxKCrX4di+EWxaUQ6LUYu6uhzUlrrw8x93LfkY1WobDLblp114A2GcvdzPhAeJ qOxWA1Y1FmLjqkp09I7jtb2X0Ts4cUOE1d/bAVHcoJBWGiiElQZk3tc0NcInF0CjNWRzyzCgmFGR hIUtBeo6TOkHifji87BuFwpyrSwDvqN3YqoDcqpch1y4UXcAoZCAUEhkbt7ERITJP/sDMeYC0X8k VEFuVjSWQM/wJKvFHHB7mXVH2fWJWBKFTht+/u55mG12jF2jQp0JohSDe6QDhVVV4Kakgharonry Qjcut49ifCKE+ioXnnx4DcqLncx6JKxfUYGufjeT0InEEiwJdzkoq1Ba1WeCMjppQBeP0WxFOGGA Wq3N+gyhGiYICKVZJkWaS8l0v12wGYyQwipUFeRhbWU5TrT2YvvaGvAcD/dIHM21BTDqeRTnORAK iijPy4WJN6LAIaH1fAD3NRThysAwygtyULY2B+FJQKOXsG1NDexGIzzRENpb3KgrzUf3xaW5gwSd zgAZNoz1dsPvGURZwzoYTPO744IowheI4uSFLpy7PMwIrrLMgd/++L0wGubOMlK8LRyJobzIiZb2 McRi4rIJq+XiKSQeXg+DQbGwFoJCWBlgtlgx6VGmmtOBgusfvJu6WSlYHgqNwWrTYl/nKBPEos/1 eh4JIcmabFBQngXTRT8L/sdiEva+NQSzWYtT7d6pZqQC2xb9HotNwmTSQJbVGG/zIhIRZyWOSszN pASRdFBxGvDxCkRGjEhE/Ah63HMIiwq4Rye96On3oLt/AsNjAZhNWmzbWIO6ynzk51rnDaifudyL g8c7Wdb/upXFMBmWn/hZXlmvWFgZoIxOhlnCwf4eSIaaRTfmnHc7ZCFNWUmzrSURSUjUWn0qvYGU Hm6FfJtep2bm21KLcw0GNT77+RXIy6OxUEOjobZZNLslQ62RodPJiERSyxFJGY0qTE6KsNmAYFAF m41DNJKEipfQ2xPFyEgU9+0qxMH3R9HS4sFvfaYO8VhqRtBoUEMQBabESiVSpJ//2quDKCoyYfUa OwYGYviHsk0sNSQQSMJMjWrVPKJRFZISqWqo8C/fuADPZEoCh+N46PWpPDIZOfAGolD7wxh1e9HS MYqOnnE2Q6nmZdjtRuzeWol71qTX1Zr0hZia6qqGYty3pY7NEt4IRkf6IUniNVUNCmZDGZk0oCS+ huZVaOlfXAyJ3Ih9R6+kZtXEJERBvupiEFFRvIZ+n+asJAQkkYAGEfZ3bWUe7llCW6hbDSKnaDSM b37ze9ixYwcGBwdx6tQpfO5zn0NLSwtr8e71etm4UWfq/v5+PP300/jCF/4nvvGNb+DrX/8+60xN r5qaWnzkkSb8+Mf/G8VFG7BypQPf+tY/sa7V1N79ypUr7IHhcrlYEHrNmjVoasqBxRrBX/7ln7Ht ffe738XatWtx4MAB1lr+s5/9LOrq6vCd73wPlZWV2Lx5Dd58o5eNO81QukM+uAM+9E66MXreB1lO 9XvMs5jR5CqDzaCHlGhDYUEJxMAQYpFC6I3zu40jbh9+9vpp5NiNzAq7UbJix5FfpATcM0AhrDSg J/sbL7+I4pWPQKvL3GYrFI6z2TC6sVNKCykYjTx4VsgMFpieFrIjRQENzGy5kTE/C/DOJixyeSh+ Qs1VbxvYyaSqEMl18/k41v7s1VdfxaOPPooLFy7gO9/5DtatW4f169ez98mtee+999jNd/z4cWze vBnvvPMORkdH4XQ68bWvfQ3f+Ma/MOL2+XyorARc+RwOHRZx8uRJGAwG/P3f/z3+9m//FpFIBOfP n4fJZMb27Q/ghz/8D7bOmTNn0NPTw5anlvCXLl3CkSNHGOG1trbi9OnT+D++uh3vvidj0O3B2f5u 9HsmoVapWBnRg81rUOksmOeEy9i/bt8k+lrPsOx4MRFDWcN66PQzZUwnzvWwh9JnP7EJRoM+a4qp CtJDIaw0oELU7bv2oN+XOYhKpJTrNLGefNQdJpW/tLinJVkAv3z7PMYm5jayoBuerBXpNhIWxWRy bAYMeNyodLpw+tQYtm3bgVdeeRnt7e2MqD744ANGRocPH4bFYmFk/cQTT+D555/H2NgYs8aOHj3K iKy6uhof/ehHcfHiBWzcuInVaw4Onkdfn8SsotzcXAwMDOArX/kK+vr6YLPZ0NDQgNxcJyQpjBMn TmDPnj144YUXUF9fzyy4X/7ylygoKGCW2bvvvsuWp+Pp6W/BOXcbjl/oR57Fio2V1ahw5sNmMEGV YabQYV+JsCcESRWFz9+PZPIs6tZuY+dGVjJpnu3cXJs1siJEIiElcTQDFMLKkId1cN8bKFn5KOs8 nA4ksUKWk16rZa9s4nZexHSDNper8cbhfmhUPNSaRjy0ZzX+z6/9A/u8vc2Lp5569mq3ap83BjPL Uhfx3HP/BaIo49TJUfzZn+5mVmY4JGDPnkfQesWLl37Rid/93T+8qls/MhJmwficHD1CoQQ0Gv5q 12vm1olJfPe7P0B3lw/PPPMbzGUcnQjhf3z1fzI3nJaR5CQuto3AlWOGRqVBU34QjffWZiSoa6FW G2CzpdIWTKZCBOOHZ3pRcxw71+m0hmyhoLAUKsUlTAuFsDIJ+D38BLrGb/4sId20pD1FuUiUezUN q0XDZq+mXZXbgTKHDnsKZbw7Nogh3yR+fvIotBoehXYH1pbUMLE/Kruh+5lmCqkUh5XTaFRs2p9+ /9lP21lGfDwmsXOlchzCkSPDKd16OdXmnn7XaFPLUbkOrUOfEUHQOrQubU9v4HGypwMX+wbwG1u3 Q6fVYDzoxXuXz8MfjuG+upWoLSgEJxhutKkRwuEJGPJyr84SaniezWgOjHhRVzmfW7k8pFrVb1Ra 1aeBQliZ5GW62yCbbn4XFrIQJElmcbDZBpXZaMDgiB+3E5IQwZPFwIMuNXoicZaKcM6XxNGBMGpz i5mLFZ1KNSAQ8cz+SSCSoRdhmqzYMrG5JT9EcGRJTf8+vc40pte91DeIY+0dLCb1zqUzzLr1RyJw B0LMDppv3eXC5+9EdS1lyc8wX1VpHg6d7ERxoQm15SVzHjLLxap1W5SuzxmgEFYaUPzIas/BpHCz kw2o/6EWE54g/tf397H0hmmQ20OWhi8Yht2SHTE62j41o0ikUTIdGeiCdPkDmHgNciUJFosTLh2H anPq6S8kZRwlw+8WwR+NYNA7gclQEKMBL4LRKGwGA3yRCBMZJMIwaHUoy9XBH41ClyUhPEEIQ1JN wuHawv6OxOI4cb4X568MsgmUF146h/y8Tnxk90pUFM9YYctBy8XT+NCWSugU0loQCmFlgNFghEe6 uS4hXeM7NtXi3vXV1+lU9Q9N4oWXT6J/eBL2+uwQ1nT7MImlWszfB1YWo8gRE9hiL7wluWELgeJS 5wd7cKq3k5G302xFrasI9QXF6BgfxJm+LuxqWAWDRj9nnWw1JJ2Y6EX9+vVslpiC7a+8dw6X28bw 0H0NbELil29dwuh4CD/8+XE8tLMBW9Yuv5awslppVZ8JyuikAV34g4P9kMz1UGnTxxXoCc9yrZZZ qEw32LTQ3GxQFx6KCVEdm1xHiZq3hj4sOUUYlZIYiAZQarDMUUIdick45iF3KxVov1kIxCI40dOO EZ8Xq0oqUeMqQI5pdr9Hbv4O0jc4RomEH8HgKAKhUbgqNMgtWsXyrn7xxhnWxuy3Pr6FuYSEZJLD G/taWMPYw6e6sKaxFIZl5mR1tV+CuLsZ/G1Qb71boBBWxrSGh3D4XGYdJaNBA1GSWNA8myBX0W7T wx+KMkIkWeBbAbPVgdiGB/F2yxHsDgmoNjuvfjYRl3HJn0S+3Q6j9ubcXKFYFO9cOotIIo6d9StQ 7nThViES8yGpa0fT6rWwOktw/EIX9h/uYuP/W09vRnH+TM/FFXXFOHt5AGPuAALBBA6dbsfKhiIW j1wqzBa7ojiaAQphZUhrOHLwPYjG2ozSuld5JMsWB6/iYdLrEI2mOuFk6DSWNZDV4iwoRzwSwljH GVTP+qzUyLF4lkVvgCCJLIucJbnOs510OlrTIJKnesBphOIxHOtqQ0wUsLWmEXajCb5I+DrDKZqI L/p8yJ30Up7TPJ85jOY5QXMhEUJ+fSNEdQ5+9uZZdPS4sXF1Ke7f2sTED2eDZic3rCzHOx9cYc09 jpzqwwfHe9l3tW5VEZYCKstR0rDSQyGsDBbWvTsfxKFz1Nnm9oAC5JScGAhFs34xhyZGcen9M9AZ nIgKAeTk18A30Q+zwYaxiUHkabTIC/uxzjZ36t6k5lBrVuHAyAC63GR9kktGn1xPWanayfQHnjov eQ6BEdERiRzubFlwPUoDSWeQeCMB9EyOYFVxDfomR/BBe9u8Lvumyio0F1VNHYsMj2cCl4+F0e/p g8mowe/+5nbk5VgWtH5WN5bClWvBi6+cQhJJloM2eyZ0sYhGwqynooKFoRBWGsTjcbz+8k9gKtoM tTZ7Gc1LhdHAY9IrTbU+z16OTnnYh485LIAYR0jkIA11MMqxJANQGWzQU7KsbnbMKAUNB/xmOY8a SxJRMckoICRS0iZwwpNETGVEaU4qxqNTkxzzVL7lNC3NCfRzqaqAeeJ3VxM1r3YUmtrQFAa84xjy TsyzlozxoA8HWi8ikoihzlWKiBBnccINFbUwTFnLZB2e7utkn81ee1y2YSSYRFOdCw9ua4TZqM9o jRZpJ18xAAAgAElEQVTk2lFdnotTFwZQVmxnSmdLRa6rQKklzACFsDJYWE0rN6Dfd3svItI6p5sr 27pYOhXPSIkowMAvLQ0gT8fh0cK540KE5Y4LGFOZsbW6ATcbCSkxL2HRewfaLiEqJKCeNVtIuW6l DicsU70KY2ICF4d656wbCE2g1z2A/KJ8FOTacKVjFEYTj7LCXFhMC2e2Exnu3lqPilInasrz8cre M0s+n57OVojidmWmMA2UkcmQONrb3QrOvjKjYWMx61iiIs0i3Qw5GHJ/slWiQ9YNuVvZLlEkatCq gLhwexRSaXxG/JM42H4JFr2e1Q4e6+rAuYFuSIvsUUi6WBSbc0/6ccgfYf5qMJzA5nXl2LNzZdpZ WovJiNUNy69IqK5rVsgqA5TRydiXsACTIrcoBdG7pUU6kZVWq2YNIxbKw7obcXagExcH++Gy2rCj bgUMGi1iQgLHu7vYeeZbLdBksCRz7AV4oNmEEM6jZs1mCILI8uCiMVIuW1I7xyWjr7sdorhVIa00 UEYmU19CrQaq5O2daqZSlZtxoySSEqKSzNwmrSrlGt5tIIv24mAPgrEohrxeNBYWY31FHfipYufV JTXslQ4jPh+u6HpRm1fK4mkmvRlhtxljHSdR3ryJTXww6ZdrGCueEJAQRCabnI3SnPpmpVV9JiiE lQYU5O7paoO+YNMNKY7eKCJRgTV0nZMcmQX0yjJOWW0IjfXjAaMdutt4jsuBy2JDjtmIfs84gtEE iu1OrC+fIatMIPUJkp25MjyEUCyGipzCqxpkrrw1GBs9gVFTqkPP4KgHB0+2YX1zOSxmA46f78LZ S4NMGvnBbQ1oqqWmIjeGsZEBSNI6JfCeBnfXFXqLQRdOY/Na9PszP/VmZ4JnG/5AAnqdLusXsqOk BtaVTTAYz4Nj6Ql3FwptTjy5djv7/Y0Lp+aIJmYC5Y75o2GM+31MfWFdeQ2rRZwz8+faBM/4KdjN PLxBGcfO9DEp5VUNJXjng1ZUlDpYE1VPIJyV87HZnUriaAYohJUh6H7u9FHYyrdDpUuvfWQy6Jn2 EyUMZhOUkxRPkDYUdWDGTcGEbzyVMnGrslJvo4s/HvTjysgAK6YOx6MwaDX4UPMaFNpmstdnwCE0 GcfO1XlwFtcgEIrjF2+exmt7L+GeteV4aHszvvfTD7J2fLEo5WHdHXHQ2wWFsNKApIAfffRjePdg CySTGWqdgdX7pUTW5rIHuRKzek1kDUQksYQAi1l/0wgrz1EEfnwwK9tKSVvdWTcdlUxNhkM4P9CD Yd8ktGpKExHYw2BbbRNKHKmcsfkgI4KcvHwm80Ov3//UbvYAMUzV+0UiEgy67KgrxGKUHHxnjd2d BoWw0oCagXafOIWS9hjC8jA4sxmXfVdQWrUWIa2M3KLqm38MSRmRaAIupyXrMaxpRGOBVIY1d+Mu p17FsZyxa4UIbwcob42knS8P9WM04EO+1cbqEvMsNlwe6kXH+Agry0kHq7kWvvFxWOypWkb6DqbJ 6up+kjISggDtDQbMnXkF8xbAK5iBQlgZCCsUCKCQz0WRKhdIADXGLfD2+7FP03dLCItuhlh8qlbv JhFWjFPDDRmBiI9lgcfFBGuASv1iXLMaLywGdIi3w0jQqNXomxzHSMALl8UOfySMk73tGPZ74TCa 8EDjapQ5pxQW5CTLbjfptNBr0ltHer0BY30tCPm8SCYFcJwMUeBBEYLqVVuZquor717E4VPd+MzH t8BqztysZCEM9nVBku5h7coUzA+FsJbRyYS0wrW3KAdAonZhYpJNnd8swjKVVGOguBrhaAgGvQnx OBUa8zC1nkIuaUvdBYlamyrrMOL3YMzvRevIEPonx1Fgc+D+htUosudAOyu3ieoUSZ3UqjdmtAL1 ujyouB3gBGrXJoO4RAstAhMtEIUEdm2pZYRFD7flKDRc26qeV3Kw0kIZnTQggqgqrYQ4nGrGOQ26 gVUaE5LUdTgpsZgWVdoTsh2DiAsplQad/ua5VyZrSjpGb0v9NCKX3Ywj0QAkNbUlu/Of+BrWhJbD 6b5u6DUa7KhvRnVe4bzLipLIynJqbPkZm1MQceum6ilnC4Fy0RiSkgCTgWeuZ0mR7Tolh6Xi8vmT EPash9qQ3eYW/5mgEFaGgPeV7lZUJEug42euVq1KA6c/hsTZ8xgPDMNlK8b4xADUKjWi8aV1U86E cDTO4kF2S/YuYiJcyusSxIWzt3m1BqacIshCAnc63EE/3m+/xIjj3tpGlo9lMyzsmpFsDZUP5Vsd y0smTgYhB4fAt8TgH/cBkgGb11bBoJ+5RsgqXmosvqq2EWq1kjiaDgphpYFOp8NjOx5F60uX5ryv 5tTYbGymXvOAsQAQgDK9DW+ilfVzziaoeSnFw+2W61UTlgsq1J3u0rMQY5F16Y94IPAGaO/gQDBp Z+29cgGheBTbapuZdHImB9YbDrBCaPMimuNOgyYlxsfOQhvvgVZ247niWmhkDhadFW9CwPGzvTh2 thsWowGyzKG334fmhvwlncvQQI/Sqj4DlJHJ0Pn5lYOvoUIqgo6/PbK1gVAYWi11W771pGF1lkL2 T+JOBZXjvH7hFBKigJ11K1HtKlhU4uhEKAizTg+9esYEkmWJ5d1prhFqJIsqFhtjksmrNINoclig gpVlyROcWqBIH4SnbwAhjRFOewJxgVqUkau5tPBAYUkF+Lus2uBWQxmdNKCWS4/vfBStv5hrYd1K RGICi43MdjduFYJBd0p9YonSM7cKFDAnsirLyWNktZjJAVJt6JkYR3Vu/pxJjECwG5qJfRBta6DP 2cD06hnhJEXI7rex2WxBk81xHSHm63n8rzV5OBOcQHDNJtjyStj7r+8/D49/aRnwokDhBCUPKx0U wsog4PfaoddRliyEVnV7Wi/5A1GYTbqsta1aigtk5Q0wyNmNyWUTpCe/pboBx3vaMer3stnATCBB P0FMwGZIjacgBJGIhSGFB7DLVYhwcgJto7+CUV8MT9wNi8aOIr0Gzbb08S6n2QFhSmdruUjEY0ri aAYohJUGVDm/vnE9vKPjt+0YvIEwSgptt3y/QiIGQ9gDXk/ZWHcuavOL0DsxjkMdl/HEui3QZHCp ArEoKHRnVBsQDg/CPX4Su6wxlDvssGhSccI6E8W2IjR/SiNBzlrmA4kGERnvh86y9ED+NPIKipTC 5wxQCCsNKLemZ6gHFlm/iOlvjjkRopRdi4RyeyhAfqvhGRtAXiIB3rD4fZOHRQJ+kkxNJeQsijmn x8rScrx18TTODfRgdXEFhIQXUiIEcBGYLNXg+ZkZ1lG/ByY+gdr4MVRQ6zaHCrWWG28379KZceTi B6zm1FZSt+zEUVHcqJBWGiiElQHRWBQmOXPAXaPimNb5cpoPpINOxyMUWXx3mGzByPGoNi59ZpIR ljTdBefW3HgFVgcqc/NZYfPI6AkUS1ewJa8AAzEefULZVcKiY6Ki5wK9Cttcdhj47CXEUi5eWdO9 0Loqlr2N5lWboFG6PqeFQlgZrKa8nDyo+tKTkJCkRMQYS/Ds7p9EJDqT2mA26lBftbTp7WsxOh7E e4dbwKs4rFtRDptl+eUf02kNOo0aCeH684oFvfB7RjHZcRbr9dlLpcgmYrEAIsHzkGUjIFNWvgHB 8CRGwyoEQknY1YX4wKNBLJlEVHWRevqw9UhGhiRlqD/Ej/oS+HxV9mZ+WTKqewAagxkRe+6yttF6 +QwevrcauiwVU/9nhEJYGfoSHjp3GFvkDVAvMFRRKYZ9kbMIa3QIiwkcO9NPDeavfm4yavG7v7kD tmUmfpYWOnB8rAenL/UiHJag06mxdV0tbgTMfeU5RrCzQ7yUAzR84TBWRIPYqDXBNGva/05CMNCJ 3Xo38ll8jc4ggccsGpzw0sODrLrUdyUzooqymb1zviSOTU4/SDhcCWS33MjIa7BDTsI90Ia+DAXV C6Giuh5qJQcrLZTRyRB0f3jrQ4gdCS64TFROwNG0Hq4cF/SdB/GRLU2or04FaXv6J/D6/ou4EYms HRsb2MvjC+H/+8nhrOttzYZMDVETQVSZ7FAvUrXzdkCrNsCi1sIwK9Zj4IGHFjBkIxJwaOLm9vsj +tNwKgRjIYQiAYjiTIWAEI9Cmie2qdWb5qgzdLZdgnj/SqVVfRoohJXBwnrn6Du4J7keBn7+3nS9 wT5ExXJ2sVItG8WcjPrUlLlWk70YDqe6eQJ+s/YC8mbZ1HoW9zXuPgyTsQYm0425xinIkBIj0JkW f+nqVMAaO3DJP/Oels8+8UckAYcT4/B2HMB4uBh65EBIRHHm4puIJkJIGjSQJjxQOeyQBkfQ2LwL pbXrr66vKI5mhkJYGUpzntz1BNz7Ruf9XJRF6KwOuIprEBOnW1vdHAuIuW83OUWHXEWd3ohUa9Tl QyPHIY3+Ck57GYRQN3bY7bgQuYR+0Qerrf6Gtk1k6lJrYFYvnlEptl5mlK8KDP5OFY+tudknBpJd jph0kBuqIJ1MAFNzJZJeDbGylP3OlRWw0VXlO6HV2uesn0goeViZoBBWBgvrg/OHUZOkmabrzfQo BIw41SgizZGrhHVzkEiIU52fb+I+4lFE4jGIWiOzSpYNWUK+2ohkxAO1yoHLQRmiFIMYa0E3tfrj jalO0CoVSmwupgC6WCSTcRiSY5SquaxDs2k4bM3l4aAp3SyDqEbSzpxLUhQRDfshRijjfe4ERjIa gXeiBwatCVqdCZKYgFonKHnuGaAQVhpQf7i1dWsQnQxc9xk9CS/JQyio2bJgtzqajaM0h++/eIhV 78927+7fWo8Nq8ozHsP7x1tx5Ew3Wz8eT07VqGUXdC4DbaeA1pNYa3bAcAOKAdSi3SsA3+/hoObo 9pu+Bem4ya3uZn+RdJRP4LC5ug4ri6tS70kxCEIMHCRISRUkyYvQ2LsoNBQgnJiEUetAXAih2ZVS /1wKcrQqqDkJ+ToO1iVYZ0sBbVUtySzVlDDhG8Ghtg7wVst1CR4qhw0jugT6Ot+GLicXYjiIakcu 5Jv8ULrboRBWhsRRt88Nk6ydw0k0tzYsTcKwciVUaQTXSgodeHLPWiQSwtVaQCKedw62wBeMLuoY PP4I7DY97ttcz9pXlRQuz7JIB1GIw9N1Fs/klbPW9TcCoieHJon/0Uxu2xS5zlaEmOKviUQS/9Aq sRQFKgOiQnOV7xQc8hAsGg04WQUVBFQVlcCuNUCGmcUIZVgX3cZrNkxqDmqVjEYrx1zEmwE6NUEU rkquqqwWaGsXIFeVCpJZD95cxkQ/YDfCVViiNFHNAGV00oACoPN1Co5JcZzwX0C5liyDha9+nVaN ppq5WdSUVHnoZOeSYhVGgxaNVTfe924hhDxjuN9RDL0qO5cDEUK+TjVDWAsuJ0GIjyIaKYDsO4T7 bDoUGBaynqbHeXlsMxJNQkhyKDdmn61EOYkRIYJwIgZNrgXiMmdHxvsGmGKEQloLQxmZDIRVlFcI Dze3ljAmJ5DTtB56w9Lzbcilo9nDbGfE3whkIYaD4/1w6PXwR0K4z1GAQsOtqSGs1Cbg8O/DRqcT 9gz66jeCnogErYpDro7LOlntDwzhnAWQC53grOZlS1nb811KWU4GKISVBvS0O9N6DsXJvDl6WBbe hPDZ/UgE/ShauYl1Cl4K6IK+3bNBdqsBk95UHzxHSR3sxbXMdlG1noHD757r5iwy94uWohrC2ZGr TLBptLjXmUp3iMyK88237eVSDemq9oRUiEkyvt4mgkJYZjUJMc7dIh15QJiRYKRPjTzg1HEo0nMo M3IoNnKwqDm2PqlW81wSo5wIVFenDQ8sBvGw0pcwExTCSgMyzTc2b4B7ZHju+xyPDxc9gMOhTsRj MWh1eqbvTtd/a/cYPD6q9J8BXYLRWILFxAgT3iBr3fX2+y0Zj2F4LMBkkt98//ySj58ufmpzPx8G hv0QBAm/fPs0O8JoNMlmIUOTw/hArb0aJ6L7R7h6E8mzbuXZN1bqxqd3xmNALEmWx+KO8c0R4Njk YgrGl0tZlA7CYTQGOLQcni7hYVQDIZHSEOYuSd+fVQOwuQKaxaSsehGYiMsYicm4MpbEaCxFyBS4 JzKjhNWwOgcqToLBKsPi5GG0LW9ihK4PhbDSQyGsDHpYvzrwK2xIroZ+nsTRKsmBw2++iGpnLfyh cdRqc9He5UZ3n2feGcPp2y0cFVjrrkTn/Pld14Jq4Fo7Z6yepVhyC3WFobZh9BodJ1WDlBgesVNc UiEoU76SfDUeZdUs3n2lguKoRNtKTy45Wg4fL+XQQcyxTAxHOVzyq7DWISNPl96uqzIDzVYdduXx LBdruUgkgf5IEiMxoDecRE9YhpAwwN8axwgTCFQx4qMEdkve0tw7g9nEUj0ULAyFsDIojn5oy4cQ +sA77+eFGic+VvRw6g9dNVaZfNgvdqB80wPXLcurVVcVMV985TRy7CZ8aEfTIo9k+VPdc/TBWQb7 9Y0Didiorx91AIq1nsJG3+RVCeClgLb60qCEnw1Ki1K32FOgxR4sP2717lgSl/0CvlCjgyvLsal0 ahQ1ZhVqzMD2qeRTbyKOwz43ThfnQDCYEA0kMdy6dJkhv3uCWeq4xWKNdxMUwsqQOLrvxH6sSTZD vwhNd6fOjIbCRmjNBnbzc1M3/bXlFmTNUNcak+HOKi4mG7BnchiNMgeH9s5vNaVTJRn/Umwqq7VE S4A7LuMrlzgMx1woVmtRtYGHLY+HGJPh7lua9VhcXwu1QlZpoRBWhuLnjU0bkDyzyFZXlAzZ1w5X ksOopx/FznKM8GEU1q7GXQGOQ76zGFoPZZLf+ZjOmhBYsuXtcaV8iSQCQhIGK4/htgTikVQnonhk 6bGosZ4+SJTWoMwULgiFsDLMEvaO9qEUiyva1ajU2GVdB/iBZr4RgkdE3HJ9gqhWp5pXi+p2gxI4 R8e7IajmL/S+naCZymsbK8dvonLFfKCJhKg0MxNK8AoSRFlGabMW490ifCMSkhJ17JZhXWIMq6RO sbAyQSGsNKDYjp61fVqmu8EB0XgEvBBnU+ZqXsuCqtS2i2VEZ0Cu3Qi7VQ+3N4JoTECB04xgJI5I TERBrgnhiACLScueyNRsdXAsAKtJB5tFz4qlvcEoAsE4HFY9PIEoCnItMBu18AdjGPeE5+i3e92D MJhzYNFboL/DuJSI6vn+ODpDlA4y8z6VAN1KzvrVsIh3R5NsFnR6v0KSXFIVjFYVGnfqICWAREzG UAtZW0s7uKGOTtY5R5GXWRgKYWUgrJKCEkj9c1vVLxY8VEgODWLMM4akFIe6fgUKqxohL+Iu0+vU sBrVOHq6GxtWlKDMZcbpSwPIyzHDZdOjq2cMD2ytw0vvXoQrx8yy6isKHQgGIzh+pgvbN1TBadEh KcmwGtTgOCNikRjcEz7k51rm5IIloyFozh+AS2sC5dPrzZm7z9xKCHISJyfJgpXRPKsfx0o1z/oC llJ+QRZBX88+dxIDjHBkNjM4HpPRFZZZ0P33a9QwT9X3JJHEmWgfRnOqwJFSqJH9j6CbX3IMixJH SWpZwcJQCCsN6Ibu7O9EabIA2lmt6hcLalyxLZ+Ko4GwGMa7450oqGyALIiL6vVHuVtkLVnNOnj9 EdTXFIJLJhEIRVFd6mRqptTBuLm2gFlWk74wInEBDVX5aK7Jx6nLQ0xWORYna446PUvsfVEChidm XNWgfwK1BhvKbzC7nW5hUnlIzOO+3Qi0nAo6XoUVVhU+V3XzL1lBBn7UKyJPx7GcLQIliTZbVWiy clhnV82qR+RhVNnxH8OjUFeUpmZhl4loMKgUP2eAQlgZ0hoe3f4IWn5+4Ya3ZeANqDCUYuz4+3AP 9CK3InNKA7mPq+oK0T/sQ67DhJoyJy60DaO5thA5NgNau8dRmGfBxpUlOHVpGO8casdTD6/GhdZh 0HVvMmhQWepkyqfNlS60d49h2/pKnG4ZnZPaYDbnwKy9MZ342YFwcpOySViUN7WYJqnZBGmC/ddq DWrMmfdLh8ZZLTNkRWNLr6SEZCgMlfnG+hUqmIFCWGlACgIvv/8KyqXCG25VTzEsy7gf1foiXLbJ GKPIbBoIYhImgw4SODjsZqjUPI5fHGCpEG19E4jHRZQW2mGzGvGrfVdgNumxeV0l/OEEe+98xygC wRiCEYG5fxfbRmDQa/Czty6CV/MswO6dGIZercFo7yWUi3FKFmP7Nhe6kLeCdONl+PuGodZpYXQ5 EQ+EoHfYIEai4HVaxLwB6GxmCJEo9HYru2HvDyYxcm4C1autsMkCeK2W7YunshUVB5nSyznA29UP k8sJjVEPSRCh1uvZ+ypelXKZKbA9deNLCQHP1vBwqERUVVHRHpAIhtgxhEcnYMh1MMuE12rY8VqK XFCRLpUsp8plprS3ZuehTbvDwcFRqHg1tFYTfD2DCI1Qgq7M8sTCs9IltBYTLMX57Jz1dgtbX4yk BPcsUR3Mwjgqcl0Yam2H02pFVX4OQlYjatQTGHI4YLdY4QuH4DRbWPeeYZ8PRXYHI2LqRG3S6VHn KlQURzNAIawMFtZTuz6Kiz89d8Pb4qltlqWS/Z6j06Evnj6+QaoOHQPXJ6z6QjMpFt6OmaJst286 zhZK/fBMlQf5Z8ffZtxAJgZ4+TBKk0CuJCLfPCNb49q6Gu92XmClIs8+9wwjvCttrdjw2H14+eWX 8eCHH8T+/fux62P34xe/+AU+/OEP48CBA+jv70dFRQX+/g+3YnJyEuV1dejs7ERVVRWOHz8Ok8mE vLw8nD9/Hk/96Wdx9PgxdHZ1YdfuXRgaGmI3q9lsRigUYusXFxejsLAQHR0dyItexIYNG/DTt99m y3zqU5/CSy+9hAeeeAB+v58tOzg4iI0ffxgXL15kDxs6R/oO33//fYTDYaxZswbnzp2Dw+Fg+4pG o3jmmWfYTzqfT/y353Dl+y9h9EoPa9kWmfUV1T7xIExNFcjJyYHX64XRaGTjQq9NAFa1tqG0tATa uARZq4YnFGD7pv24XC643W7k5uZidHSUlXzRe2NjY2yMDTYb9Bo1hFicFT/T+dC6RIaUWhOJRJj6 rSAI7GW1Wn9tFR1+Pc96kYjFYvj5vpdQmSy5ba3qs4FI0IPA5AgsZjsEmYNWo0GS10Kn0qJIZ7jO 3YoIcVy+fBmbNm3CxcuX4PP58Pzzz+Pv/u7v8OKLL7Kbj25wutEHBgbQ29uLrq4uPPTQQ+ym/Ou/ /ms0NzczgqH3jxw5wgiLbrIPfehD+MlPfsKI64c//CHuvfde9PT04Kc//Sm7ubds2cJualqGPrv/ /vvh8XjQ0NDAbl76nMjoS1/6Ev7kT/4EX/7yl1FXV8dIjY6Xfm9pacE777zDlr/nnnvQ3t7OCG7l ypU4duwYHnvsMXz729/G+vXr8dZbb+HEiRP4oz/6I3zxz/4Uf3j/R4ErPdeNYXjCg6/+yTfxiWee YSRMREPn/eijj0Kv12NVfSP++mtfw5e/+CWcPHkCe/ftxcc//nG2zKlTp1BaVoZPffrT+OxnP4vt 27ejsrKSjTGdF50PkRRtl8aY1nv22WfZOBPp0nnR5z09Peju7mbnXlZWhl9HKISVBvSU29i8ET73 0uv47iTwoQCqOs5Dy/OIJ0kXSoJNa2BFMQtJoZAVQhbL5s2b8b3vfY+R1iuvvIIVK1Yw8lq3bh0+ +clP4jvf+Q7+5V/+hZELkQNZCI8//jgjix/84AfMWvr+97+Pj33sY7hw4QIjE7KQiFD+6Z/+CV/9 6lfZMiUlJWydaRAxEdHt2rWLWRd0Y+/du5dZXISJiQk4nU5GHBaLhd3Ub7/9Nj73uc+xv8miCgaD 2LlzJ/Lz8xk5XXt+RBj0PpECWU5EwBzJXc+D8MAonnriSfzsZz/DF7/4RXbebW1tWL16NSNJcn0J KhIfJJfX62VE++CDDzKS/MjTT6FleIhZSHRc4+Pj7Oe3vvUtfOMb38Cf//mfs2MZGRlh5/Wv//qv bEzvu+8+NgYHDx5k409k/usMhbDSgG6Gvsl+uJwO2F12xENxaM06iBEBGpMWodEgNAYN1AY1kkKS vUfyx/Q7QaVRQYhQXg2P8FgQUe/iVEazCXIrxicG0KA3waZZXEKojldjx/YdqG+oZzflJ595Fls3 b8Zrb73JSIlcvIKCAuZelZaW4gtf+AIjELK6mpqaUF9fDykcxaaiKggWPbOcdm7fgY0bN7Ltf/mL f4o3976Lffv2Yc+ePWwb5ALSckQ2RF5EBLt372bESBYS3bCN9Q2w2qwQonH8zZf+Au8fOIDf/vR/ QV5BPqprath2pEAYVZWVzJIhq4TIhCwYcgvJ4iMSIJeKiLiuphbdvT149hPPsM//6DOfR/BE67xj 4usexObH7sPZC+cZ6dDx7dixg1k95B4aDAbmltLnFPki95OIh6xK2u+g1wtBFNkYrF27ll1b5D5/ /vOfx6uvvsqsKrJOaXtPPPEEG/dVq1Yx0iMiJtJ+6qmnMDw8zCy6X1cohDWF1tZWdlHQjUNPerKu 6InbsLERK5qasf/9A2hqaMK4exxl+WW41HIZW39jK4aGhxAIBFBXVY3xiXH09fXBbDJfjduQG0Lb U3mAS/9+9padDzVF7Ws7DafdBdHnXpJLO/LeceRVlmDwSDty8xyQpSQun/wJVrhygEtDWCvrwPUH ETnVh1KrEbGzA6jMzwXGEvjBG6/g5f44/qpaxrDfC73Vgi1lhQi+dgR5dgvEcBTH3vt/UF6cDyES g8YUQ/jcAKxmE5KSCFmtgSkpsXwkazyBkY53oAtGcFa04M2X38PvrHSwY6Rge0VZISLjAxALxnDx 1aMoMepx8tD3YS5ywcnzcOm1kI9ewVrKjOqcRPu5l+DS63Dh8A9gduWg5/3LMOY6IA2Nodxmgffw +5Bi85dhCeEIel7eh9/c9iHwvji2mAqh1eqx8Z5yKg4FF5Lw5IbtbHJFRa3eah0YGJFw4sSPUMGX h2EAACAASURBVLp+Df7jxBEYtDrc/4mnIUgSBv0eWBxO7Bvux6qHHoQ/FoXX48Fju3ZdjU9N58qR BUiWqzw1WfDrLPKnENYUXn/9dRYzOHv2LHsK0sVCT2h6yrV1tDF3RmfQ4YUXXmAuBsUQDCYDvvnN b7InXzQRZU9pIid6cp46e4pZDAcPH0RjYyM211No9tZBjEdRNNaHpskxxCUZhiWUfCSCYYxfaGO/ h0Zn3OHw2MR1ywaHUj9Do6nPPONJnGkXMKbXotjAIer1s9e1cPsWbk47Hw61DsCoUsFvmdEa87T3 sp8x39wmIdPvp0N4fJL9DAymXKyI+3pJoGsxcbmTvRaDXwxKODopYV3VMIbcg6mkUgCneroWXOce miXk+esI6deZoK6FQlhToBksCsBSMJhIh/4m9+Fv/uZv8I//+I8s3kAzYvS0e/rpp1lch+IkX/nK V/D1r38dDz+ckpkh94VcAXJPyNSneA7FM241YpEAjIk4eI0Bxiy2nJ9OByBCn247NnsqnhIsZ+r8 bo+Cwp2EPFGFwXDkKmGlQySgJI5mgkJYU6ipqWEBUgrukitIMQZy9T796U+znxSzodgKuXw0M0Yz YkRsFER+8sknUxaXwcACpw9vfwhXeq8g/7c+i3s3bsX7Jw7CoJuRa7HwGiQWcD2yBbMjH93FNRiS 4oh6xvEkyxZf/tdN/QrfG+2FzpwHPhZg5zAoCbCo1bg3Jx96tfqWJ3feDWg05aBzaBwhNQ9VMIxk jh2cYf4YlCLelxkKYU2BArw0GzMdN6CfpNbw3hvvwdJjQHVNJaSogBXNjUgE4tBYdIhNRlBtKYfW rIU4IaGwIA+SkMTxbx+Ca0UB8kQHjn/nMCrXlcF9eiZnSsurIN7kJynPq1G7IlUWNNBxAd6hdhTw c5t5poMkyxgN+uCNRZEU4uiJhWArasC9ldsQESLMElih1mLQ249Xuz5Aub0QcsQDaFK5ZotBZ0jA CW8SzRYOzTbNdRrrdzM0qiRTcSjQmNDsmUTn2TY8lFOJN3pa4FvfNC9pmR12JXE0AxTCmsJ8FwoF P60RE8ZODcF9emnTyf5B39XfvT2peMntAs/LOKHiURvyoHFWYfNx9yAsGgsmxRhyOS3CfBKRWBRR lQYx6t5szoW9qBocx2OnJR9mXapLkEk7U2pSnVfLXlJSQmffMVwYp9hU5lkschmf75PQEgBeYXLM cVSYODg0s+M1MtNa7QlLmIir8InSW3MzB0VqRiHDT0WFy4SOl5kWPhH/Dmc5auIh/Ic0Bnl1PTi9 bmHFUcUlTAuFsNKApq/fP3sQ1cmyGy7NuZ0oqFiBRGEtAqf2znnfYMpDWdk9KCVikGduFL1aD36J Esm0fEXpBgzKo0B/5qA3hcJIX2qVHXiuTIORWBKtwbnZ5SkNVGBPIYeVVg0L4t8KmNUc7FoOsSzK 7ASFGBJaFXjLwnWFeaUlSoA9AxTCytQ1p2kDAh9knkG6k6FS8SxNIyyEgVm9/0gHixrFLpWcFoJO rYNhqoh6OCqzTjILdX4mC4vE8GwaoMSgQqWJx1bnnXGZkh1H3XCyiXKjHXmcBA9ZUAu4ff0tVyA8 KiiklQYKYaUBBd4HxgZhlQ139YRX0DeJnrPvoDweT4k1TSGuyr76HTlxtNVvd4qUnjT95jzLyQiJ HEqN6RVZDA4rtFYzopM+GPOdLP/KWloIf98QXCvrWTEyxRwD/SMw5tlhqyhh8cfg0BjEaJwVZlPh thSLw1SQi8m2HkjxBJz1layYm4qjTflOeDp6EXHPzOamaZG4LGg4FVyhBCapHdwChOUqL0sViStY EMroZIhrmQxkwt/dcQWfux87JKDCkSprIZDMrzqbGjCzQPzz7KoK5JuMV8mJm9XPcNrg6vP0oSo5 DjW3oGkF9b1bcHYigdVrTTjd78W6mhrsH0ngY4824EetIahMdjRV5iE3fgTDhRU4p7bBqOVRvKmK 9YdsKrHh7GAAYkJEwBtC1fadsJv1ONQzCa3TkGptFo3DuXYLylvOIjw4guOeJAajMuotN/6UItc3 LCYQSYqIU9lPGmt2rDel6U4djBTMD2Vk0oCe1DlWBwLc3e0SavUWqGc91ekGGgv5IajNTGQw6+CA BqcDVSQ5kwYlBhHaiblJn/P1c5yISjg8HEFZYS5OTwaht5pgbq6DePkkqvNtEBICs+JIiodSK0rz bWgbmGQufbtPQDAmosRhwIrJXnwwLENvSmB93I1wWQOOtLvxeLkOp4e8MKxoYITFcylSHYoCjdYb V0s9CD+61QnEyvPBXTU7r4ezqEhxBzNAIawMLuGlzhYUJXPv6gspEQugw+9FKCYgnBQRTiSgyatE o6t+weLn5cJEs3wyECISyYBgIoJw1Is848KBaLWKw6rqPIgJAbxBj5azfcg1a3G2awIrHBoUXzyJ oRXrYNq4FjZOh6byfNiECC61xWFzanHyXC8e21qNlkEfitesRuF4GEadGnJJA4Y9cTgtesSsdqgo GX801eF7g4NHpUlCYLHtqxdASBLxVjKALisHdWllxqhCJBBglq+ChaEQVhrQE3ptw2p4RmZyqLIF ny+GH//q5NW/bRYDPrJ7BW4GXHllyKtUw6A2wCInodPoYdVbb451tQTY9FY4TQu7g4TE5SvI1+mQ 9AfAlRTjk4UyVP4xyF2AwetDaGwCeXkD8ITMMKmA0aEhTMZjWCsJUA+PodCsBj44hEqOx9i4BSWR AFRyEgGzAyVCDLxGDe+VCVQEvJjs6Z+zb+8i0xqI18KizH5ON7KmBhkJnQY99UVQT/cjy4BsPzz+ M0IhrEyt6t9/Bfck///2vgRKjvI69+uu6n3vnn3fZ6RZpNG+IQECITCbbAjBTrDjJObFyTt24vgl Pklejt9LXuy8JHaeHS/YsZ3gkNiEGITBgAAJCQmQBGgbzWj2fZ/e9+qqfuf+PSONpJnumVH3aAbV d05reqmuKlVXfXWX7967Yc5R9UtFtkbPxnxNOBP1dLGYhJ6BKTTVFUKrmb/mL44YIoLAuo1el3ab jg/NRLD9wTBrAkiYGu7CXeZslNhysJLgDnsQ8E8iW1s87zK+jlkSiQEaBj+Nzr7LT6PnL7K/M1WG kWvWIcw62Wf6ZSgxCDqK9CA6ubbugESsLw2LODpxdfySKo7cAhUhJ17naBPHezISZ33eZ6iJvmUw KKD5sBVCbQlALZRTQK3TyaSVAjJhJQFJAfbv2I/A21dEoOmCyaDFF37rTvbc4w3he88cw/efOZZ6 nzgFNPz1J3VcAUistY3I2vsaVDw4Uu3T3T4UQyjHj6Y8rCiY1UZoVenpJZ9OkEH0eAmH/mCCfmY6 KxPoHUOi6zL6g3E8O5iQbuzJVmJ3Nsem6hAuemN4Y1zEAW0hTvdMoMPkhIZXQ8jLgkJFK7j+N/Q5 nbJwNAVkwkoC6qP02ruHsFlal1YL61pYzDr8waf34Js/eh27NlVhz9bay5/FJRG5w07kiMmLZ09N tUKqqkH36Tdxb8FmWHVW9n5MiuMb77XCt4CY0nIjIglwRQIoR3K3cLlBVNJsVaI5cQjnxRm3dJmw SvQKbLVfcf1IY0a3CyuvxUNcASIREZ3OKZwZvoTRtaVQzmFxFdZUyRnCFJCPTgoL67Z1uxA7nfnG e5QNU6s41uRtts4yGgmhZ7gVObnJx93naazo77iI7QVNsOhmDe9bwTBpjPCzQbWrE3a1AiYeCIrk 5s/vynEKJfS8Ek2WPLgjHMbnGZRKo+qpfnU1J3gyDZmwkoBOnvbBdpTFabxoZkHpeArOsrjTLMai ImaHff4YzwyKjfnssZoQiUUQC4WARE++VQeyqv592+II1+NxQxKsUM7RbqaotkYeVZ8CMmGlEI5a DdabHAiNIxDyAqobm8YsSnH4oolwdFgUWdfLq4L10wzJrIGrCpAXBkrHB4QYnOGENToVCmHY7587 MTD93BuNw682YTicSK2RjpWsldmg+FFIVF41on4++EVpSbIABYtMzf6N597foBhHkU7BBqrSrMSl wGQwzTvdeaDtEmL3yqPqk0EmrBTIycqB1H1t3unGIUkiAj4vhJAXOqMVPm9CnErXm3dqGBqtAT73 KPRGG0IBF2Auu6HttUx68MQL7yZe0Jy+eZZjl+cSpUAzvE5/v3Vq/s6aV4M6QIhXlTsnZJuXdxWK WZ+n3gksErQt8XKh9cw719KXYjpDWG5Q4v80KqFfotfWwJsR6BjDhRIrOOvVrrujIF92B1NAJqwk oBq13qFeFMSzoVakd8yXUoihsmUMl0ZaIeVakasxQyWIsHrDKBichF4Tgjvghd2kgZgGVy/PqMP9 1fnMllBxSibIvN6+SvTBisxTSDcfjzFSUQC6eSbOzGWvzLy+1i3WqOIIYRhubwwavwe5OgNrjXzF yL12j69Ay4lQXvX5tVu7/ntRTCGCKRhRASWbIzQ/YZ2YknBiSlyQtTcfsjR65Ab8aGHq/FnpR5Yl dMlZwhSQCSvVqPpdH0vLINVroVLwsMMAu96CkBRDqbUICoxABQXKbKXsAsnVZyUWTkOCMkevwf1V qWNhNxsSIvBiAn6tFgYugGzSECzYjFr86RxGHGFEQBU4CbKbH62La0M/L8p5I6pbetCf74FQV3n5 feYqyjqspJAJK4Ws4bnDz6dlVP21cEWjePL0h2wsu6iIgzt3Eq6wiFe7R3F88Oo5iDatCn+6owm2 eRq/zaB10oO/e7eVxagIdAMPCon40J1lK0yElQKCJCCkSD4de7XCodHjocK1eNbfj37q9z5dJK7S alZzU5BlgUxYKSysh/Y8gNb/PJ/2des4Hr9VXoCp0CSCWgGV2RWXXYTZJ+3ZcQ9e7x5HOEYXb3LC cocFhGMifn9zDUrMBiYctevUl4PpqwMKTHr9iLucKNes0vThAkDu73bOgt6RMXAVpey9if4BVr86 e6CsjKshE1aKUfXPvflfqBJLoebSG8PSckpsc+SgzxWGxxjG+ry5LaCAALyhWHgtI6dUIN+gQ5Fp 5SnIFwLK8k05x1DBkcxjOU5PCvKLCKIfCnBQwQL1MglZczVGlHu9EFv70W9SIbu5WQ66p4BMWElA d7ptjVvhPnL9PL50ged48Er5Z5id6HAFw4ipVAiJAnRcZq0NNWyMroi0YuyvtGyERVOMDhgK4YpF 8HTYheH2Tqb9ky2s+SFfKUlA5nlrdxuy4zaoM+RSRcUoYlJ6YjVBUkkrFGwqz2oFp1SisqgErjB1 VxhBMCYg11yIyVgQVRyH3CStaJYCJVQwICEZCaAPEsIQEZ5DhTXzPL3HVqXkYOM12O9XwZBnkS2s FJAJKwlIMKpmPdAz16NIr9QhnKZWxYIosQtrtc8HzDFbwBkc6BWoHU4cJfkNsEd8aGk7hAnBjzXm 7IzF5AT44EXrnJ+FmSSfJCbpHRJLpFVvykFEb5a7NaSATFgpoNVop5XQmYE/HkQ0ntmhqqsRKo5H Q+H6y68tOivq6/bhZOcRVIox6NI4zXoGOuSDn930/hrw4DJ68/KHQpcna8uYGzJhpXAJW7ouYn28 HqoMHSqtpEEw/tFM36cT1GzQprex4aS97kmU2bLTHt8i4agG2fN+rmKdtjJHKBUFReBllzApZMJK AspS3bZhJyLvBDK2jbAqAm/ADW/Yy7qAXgsSM8ZE4IdnuqG7nDW7fm4W/Tvo9Sctu/koYFvVblwa bSVZOAp1FjbwVaNQQKdSQ73KkxedQ/3YEotBLZPWvFjdv3CGQRmbox8cQ7PUkLF+WGXGEmi9Wrx9 7gisJjtqimuRZbxyl6+0mXB3RT6iV024uf4uT7GP5gItsowCLNNdMD+KcBiysKlkMwac3RiNx+ET gghF/LCHnVhrWVkdVReL2uKyZZJyrF7IRycJNBoNDtz+MIZfvbrXdzrBKTgUWvJZb6j3Rt9HC9eC 3dV7Lgdf8416/M76qgWtK4IJhDDE5KVKXgm9VQdJikMICTDY9Ij4I1AbEuJTISJApVFBySkSU5gj 1OBPATEmsm1Tf66AKwhOxcHoMLBlxGgMnIZnnwnhGOKSBCXPQRRE8Boe0UAUKi2PsC8CjUkDSZDA qTkEpgKQpts1pwNqlRaVuWsvvx53D0E12YbVjvfazqNZ+AS0soU1L2TCSlGa8+bpI6iUitNamuOO hqGb1ebY6XfhQrgNmxu2wag3LTlTRMJH6nTAaZTYcGA9+qf6YbXakOfIQ1tPK2pLatHe1Y5IOIwN 6zdgeHQYA4MDECUJjfWNmBgfh1ajg91uY6Pru17tQX5dLsYV4/B5fWhsaER3bzd8fh/W1tVDEkUM j46gee06TLmmYDXZ0NJ6Ac0V6+H0OVFaXIKhkSF4L/gwfGFWP/Y0IxALA0IQ2Uiv5GG5UZlfLMew UkAmrCQgAd+Opm1wHk7v1ByaVaeEBG/Eh15/PyZEF7bWbp8zhrU4JIgutyYHbWNtGB8fh2ZyBCoD jz/88h/iK1/5Cp5++mncddddaO1shSAI7PnBgwchSFEMDg5iZGQEubm5qK+vh8lkht5mwM/++WfY smULvvYPX4Ner8cTTzwBT8iNH/7wh9i7dy/Otp1FS0sL2trasG/fPvzRn/8hc20ee+wx9PT04O6G fcACCSuRkaWjs/CWzll6GyRt6iEPKx3946Ms0SM38ZsfMmGliGF1DHTCFk//wFFvJICTvjOoya1F U/ZGKBXpu7NqjBpc6G3HunXrsHHDRjzz78+gubkZ77zzDrManU4n7rjjDrz33nvIzs6GyWRCa2sr du/ejZycHJw4cYIRVnFzMbQmLbuIjh49ivvuuw/vvvsue03EVlpaCrPZjOPHj0Or1bL3du7ciaee egrV1dX4yU9+gpqaGqBhbr0T0SuPGycad8iDEdcwivQWiBxQpLcybdNqQ77dMW9zPxkJyISVouOo 3WxH/LohUDcOMS6itrAOpfaydK6V/TvZM4Xdd+3GS6+8hMOHDzNL8U/+5E+YJUWjyz776d+GXq9D Z2cn+8zhcODAwwfwL//6L+zz+++/H+fPn2dW0q7aXYx0tm3bhl/84hcsrkdWU11dHU6fPo033ngD lZWVjLiKiorw/e9/H/fccw8jvs985jM4dOgQxGv6a1ELGT86WMs8E9aAu8H+OcWOcvAqLbP62oZb EBFiiCuVqDbbwafxRpBpxCQxUQAvY17IhJUEFEvSaXQIKdI/ccasNyPfUpDWdVL8ikjANxbA2LFx 3F2/jwXWeS0P1wdu3LvpPii2AEPHh9jS2yq2w9vhw6aizRg5NoYDmz/Ovk//7/KdFaxnceeRLjy4 40FE/QKefORJlp8kcaM0LuHhDQegsWjYcD8FDwQmgmjY3AjBJ8CQY4AwKuDBbQ9h4P3Bq/YzCher 3SPXL4he6FEKDrob+r/nm/PZI9uQhcGpXvQPt6JUZwavTqPlqlSwNs6ZohRvICBPfk4BmbCSgLo/ Xuprz8ioelJyp7sDxGVQx4M+J3skxbnEaPbLuISMg4qLBXihgom5g2GMIYBeVtM38zlZYEuFw5gN uyELghSBN+SHXp2+ZIlFxSMqxVir5Ewg1+ZgtZQy5odMWClcwsaqBniGp272rnxkQNOrRYSgQRa0 rC6PXERhlgyW3Mcb05ExCzFnDdq7DiM7bl41vcD6xkYQk4PuSSETVhJQgPrgWy9ie3wTdBkcpJpu JIY4XIkbJXTxymUlpdmDJGZAlpMAD3MHyaKifdKh8LrvxnCJfZ+eX/1ZYp2haBij3lGoFBwkek+K I9daCJ3qilupV+vhDQfR7Z1CtWX+cptMwcQrEJEUiIgLv8q2rmlgTSNlzA+ZsJKATp6P3XZfRkbV ZwKJiTPU1amPabJmQJe5GnZolqHPE5GSD+3TMaqrkSAqLSMr+pvs/0EiWAGuOUm4zzWCyGAvCg0l UKl4BAIBDMSiqMlPiEmnAlMYHmmBUskhQAXF5viq6ILQ0tuFdYIAtTzma17IhJXCwnrp7ZexXVod FhYHA1SsBcrVWTkRfsTALwthJVy+MLTIYftCVtRMMoBngfXksUBayoBSiNfEsWg99BltQaMKohsa +P1TuLuwGl2igCH/GLROPRRxYMI3CnvYhebCKwMeVgPqSytldzAFZMJKYWHdveUuRN6bGQi6skGZ NiOuvkgpJuRH57LvCw8zVGwWzdKIlx5zI45iez4K7DYMXxpgVFZisMEc9CMw0QItODgQQ4HJitWG 870daBIEJh2RMTdkwkohHD3ffQGV8RL5QK0oJIatUjM/wAS1kkOO8eqhpKsRDrNVzhKmgHwdpsgS 5tlzoZxY+fGPWw30i9g4HauDpIv86llDqxNRQZB1oykgE1YK2C12SIr0j6pfblzRN13bqTzx6cxz Wi4+Tx3fTJZuhhxmv6aAOsWvpAxUBcyHnpAPXZ4xbMnOR7F+9VtYgTB1HJUnPyeDTFhJQIruwbFB 5LAhFKsz3UxkQlk5Upd74FnwNxa/nUTR8rUB/0zi/g2P4Hz/B9AKV7KJmYSRJ1IWERI5mFXpL/nJ lWsJU0ImrBRB97u27EXbwAWsXijYVBgqf8nsVhJWVwyBeYc4ZAIuwQ+7JMzZ2JjIJbFfyx8X0nBK SHHFHOKO+fFBRxtuFwS5iV8SyEcmhazhxWMvoUTMS2s/rAKdHhOBUbzaPYhdxbkwZDyVzSoEM7yN K1tKIFOWVsICJNczjGFolSGo4i4E2UxBckkj7DP6Sw4rDZUwofYqXdpyQKNUIiYpIEoLP+5N5dVQ yWSVFPLRSQLqZHDfzv1o/8XFtK63zmTC/nwHnvqgGxcnXfjilvplVaJnEqSVov8Lld9kUjJBotIo puCRvPDGXTBCzcSopOLikMOIivRgfnQhCmfS4RIrBed7O3FXLCZrsZJAJqwkoFYr/3X4F6gRK6BJ Y6GyWqnEr5cUo8JgxA+6+vF6zwjuLr+6RGW1ggqbKRifjj5X80ENK3sQSvU8rP5BWGCZkzxJmxaD n9UurvTxHFvrGqCWySopZMJK2XF0B6beHE37uikRv9luw2mnG8+19WNrQRbMq1wwSBnGMMbZ+Pel ikYXi4goIBSbO4tLlp4SPKTp2saVLn0YmO44yslu4byQj0wSUAvh/zjyU1gVfjg861Bjrk5r51Ea K7/RbsHRCRcGfUGsXeWERbEjiiMlCpoXTw5hIYyJmA+9gRHo7dmYcA6hzFYGyetBmakQGqUK3DWd RI0aA7ThZHWJRFiR6Zjayna7sy02Vv8oY37IhJXCwnri8bvRf/EQXvzlKQjxCBqtTWndRpFOx/or jQciWEteyw1CoVTAWmhlotegOwi9TY+gKwhrgQXRoIBYNMam3BjsejZZhzDROQmdRQuDw4CpXidU OhU4XolYVGTSjrgUZ62So4EIQt7wPFuOI4wRZtVw072tFgpBFHBx8hIm9IAvzwZVXR28KjXiUg66 oIAU0aO1twsFTmCtoQgW3RX3j6ymlqlhWDU66Plrt6uAClZE0YMgBqBH8XQ94soEdaGYq8uFjCtY ub/eCgCZ55c6+lCercXjj+bg9JtOdgGns/LfoVEjV8uhz5OeekXr2jwM6pXQcRysJWYc6RzB/s0l +I/32rGpoQi8QoFssx6eaAwfdoyi0GpAabEVKLbgWN84qjYVQKPi4QxEkKtWg4vHEVMp4ZREmIMi FB8MMgKbLR0gKUME4yx+pUdRygJn9r14HBFJQJd/EJMOHQZyAGtVPbSz3aFpTZJSpQLf0ISpaATP nTqGTWIZSjkbG19vMzjQSROg55GIk3tKriqNP/OijdVaLrW7KQ06YuPOFsApnCIOXhmHj6bgLvAy C0ej8qj6FJAJK4WFtWXjGrj6BnDyvBPZ8W1pb1Oi43iU6A0Y8c9nuSwOIo1yH3KhusiBLqcPudkm hCUJtNsqpRKTniDG3UHckeeAJ9uMfG8MviEPQKQx4kZRnhX+aAgtHWO4f3cdQoNuREQOI94AlEqe /f9nrIBEK5sBJkrlpuUDlJ1LBXfIjSH/KFrNEjRrSqHUG+DgiOiSg1NrkLdjL3rcToyMurE9yqFz tBX1GiP0qvmTIhrY2X5RxjCEURhRjqVAyydqAiILaDlKtiunAKLSwuUdxTl5ae9s+1GDTFipdFgv v43NVRLybAaYPdS6Jb0g+ltjVOMNt4/181beICHq1Twe3FOHF462wuUKItuow6BBg2AoUad297oy fO/gaQhWM9s2DVkli4lTKrCnKh8Vag1+eqoDghBD97ALNg2PsCgxq8svxVFYlwNv2zgbjBrBFHtQ xk6HAkZayeAJeTAUc+GE9xJydt4Jg2bxLXuIMNU2B2JmK3527BD0Y91YX7Q21beYVUX7GEAfRART 7uvNQM/IELbHYjJpJYFMWElAiuPtWxuh9L6HoUkfOCEEizr9NWuFeg28Y04EY1EYVTcWeHcPuuEO RdCs0kKdpaPACNThOB6oK4EpEkfPoTbszbJjrG0c2Q49gs4Ai2kZJ0NQ+MPwhiTsc9igUiqAkATB FwYXFWGNA0qHDrww27pIPCcLi8p/kqnpg7EwzvCTcJdlo8C8H4ob7EpAJSwFu+5CwPoB2vsG0WTJ TfkdHkaWNYxgksWzVprMobqwRFa5p4B8dFJkCY+9cw47aiXUFNvhdnvhCmhgM6TX0opKcaiV/A2T FSE84QfowTRRCQTGE6+vS/47A5efujsnEt+Hj/29VvbJSpp7wD6lmBAJQ6ndMREAiTW1yJtzf8h9 pIGxh1xnodqyBWpd+iwbJc/D2LgRIZcfMUkCn4IEiVRVsDCC1SDnhseLpRvvtV3ARkGQR9UngUxY SUB3uw1NNeDFsygo5AG+Ha+8dBaPVz2a1u24YjEYNSs75T4DUloF0M/EmERUFMQmy2U+a2XSP4nX 3Gdh23k7FNr0yzYUHIe+vCxUDzthTylbUDDFOynkKVGw0giLWVgyWSWFTFgpxnwNj06iCWz1cQAA IABJREFUyhGHQcejrEiPpkI7JBo1n0Y91nhEgFm98hXOMfjYSC4CuX+pWi5HxSi6tGFYd90ORQY1 ZuqKGrzR8hwesBVByyU/pSmWRaU9UUywDOJKKonqGR2Sp+akgExYKQK8FMqZSTVTwmdE6sfEcAS5 ugKssdemZTshUYKKWzkXzvWg2dduBNHPrCmSLiihSTnZeiDuxZCdhz7DglhOo0V45260v38GjQZb ykwuua/UNpqGdehRsuDCaN20yxldkKwhIYPwXjP1OhlK5CxhSsiElQJWqxlKYi1Kj6uVeOzjeXC6 BJx/OQhf1ItYXASv5CBKcRh5A/gUd/i5MBWOQ2dc3F2VRJoUi7kWSqhZO5l0CiQpVkWWFbmAZFlR 3CoVLk124KQtitz8ZiwHDPnFaLN3ojoUg450WUlAEgctchHCMHMLZ+YjpgIRELmVC9FhEWfSaRNd RH8Z0mHJLUeTQyasFC5hd+8QrGVxqGYdKZOJg31zHwSMsTo2Ha+BLxjFpQtZ2Ji1FbxicXdJh4aD M3b1DL5UoBhSovAkUWRM1xJ1JxDgYyUyXFp+WrKsnExrRbWBZI0shKyC0QC6DTHk1DViOaHML4a7 tRM6fSryVzDCIsuKSIuO4koojg5FwrJwNAVkwkoRdN935zb4Bg9d9b6KV6KxZmYqy0zgVotDQ06E IkGYtIvrVJCr5dHvDyx+/6bdsxmQxZUgLJr/tzgCpAJhAW6W/Uu0OxbYRGZ6ECnS6K2FWG0U3xsI TyKYa4JpCdbmjUCpVkGxYFmAAmo42PEi0lLBlHRW4nIgi9USruTQwM2HTFgppua8/c4ZrMmTmDuY CnXNHNqPtmO9duOitpOvVsMVWkj74uQgi4HIJoCeRXcmIKuMLlhykWg95FpScxZynyhIvdA4z5B3 GB9o3bCWbMByQ/B6oFyEspwC7noUsg6pETiZsPRmYmAi0a1BDrrPD5mwUrRIvvfubRhue3FBy+fl aDCeE0A4FIaWX/jd2qzmEBUFeKJhWNRLv8uTlWBC9ZxTl1MhQVAkT1g6QrEQLtrjsFYtP1kRbNYs mMa8i/oOJQ+IqIIYYlnDpdYZpgNb6xrlUfUpIBNWCuHoy6+dwJo8EVpNaguDXEVLlQcth1uwIXfD gusO42KEWXOTwch1hJUoLvYxseZcFtH13QluzvSYQDSAlvgkAjbjTbvkncN9iAoR6FSLI301sqYT Cz0wopoJTG8Gzvd0oFEeVZ8UMmElAaWY1zfWQHJNLvg7VSUmeBuc8I34YFYtrImdjleyNHhgjpRS DF740T1n2xGyCFYCREnEu0OnMd5UDasj56btR4E5Cwbv2KK/R66hFgXwoR0RTNw017CpopoV3MuY HzJhJQHFE7r7RlBiioNbREwoO1fCeN/ogglrNOhDXKFAjuH6O2vCslLAhErmtl19md1c94EC7B4x iBNT5xHfsQlW8/J0GZ0PLucoG6y6FGlJQrJRyLo5UDH3zSiOpqk59fKo+qSQCStVZwAVv2hpTG6u Ckel03BEC2BSp44LKZU26NVRZBko0zfJMnMzFhV1FmDLTAfEVwqo6d6F0Ra8bw6hcPeulMuPDXkw 1O1kzQo5ToHyNQ5Y7ent+26KkVZq6Vk2cg0p0+pDByygwSDLe3nk2hzyqPoUkAkrBWGZTXooY4vL uKlVSuzaakPHsVYEwhEo8iZQEmjGiG8UKBxGjskMb78VTbZNbPlWvxt2vQI+XGKvE4HfK9ukrpnL PabqWkhxEUEhjB5XL0J2C3qFCeh3NqJwgUHintZxtH44DFu2AVNjfoTDUWy705jW/mIiTa2+AcIi m5WKoqlvFunc6Lgv/+RnWYeVDDJhpXAJ3z19AbetFcHrFneoSot1aDONIVdRAylnHKdPnYTeIeLB 27JZcP5UIMTajFPDvb6QiDw7XfgSy9RR4Pd6WcLNEzWStXek5xh6rByyN2wArzfCpFzcYFZSG9iy jdj3aAN++dP3IS2gCd5iIbqcUOizbuhQJfRYalYcfSOERSp3UsaHFjGeMRojy1pGMsiElSLovm1z A9TRs0v6/rqtapx73YXgmITHP2MHzymZniscFiEEFCBDKiyKGA9HUKmjqyzRZG6lFOTSxdMy4cTB ji449VbEIypgrPfqZSRAiKS+Kt2TQRhtWnCckokj+9om4ZkIMXIhK0ulvXFCLpxS4Y7yG7NFyQ2k ZAa1e04E35e2X7QP1I46tAiFicNsTWtR/UcRMmGlkDUcOnwK923lltRYzWHnobRNwDRRCp/Hhby8 xDrUGiViWSPoGelDlr4AQpx6OZFYUwXuBrVQ6YQ/KuBfz/dgWBCQbdFCQex0LaMpAItDz8h4PtBi 9hwjiiqtUGtU2LSnAmMDV/RSoighEEjE6pKuJAl3iDEJp6cMeM8Sxe6sGwtaa5EDL5wQEbkqbmhS UeolhoiYGVK50NOJO2MC+Nl1YDKugnxkkoBEfI88eAck1/ElfZ9cv3XbeLxysB+qNjVyclSskJra IG9bb0M314GLEx1Q82ZEYvy0/ifFlbmMONw3gqFwBHd+fC0KSpO3klkMympy2CPdOParVvyoZQQV BhFFuqXbWeQS0oMkDonOpAkkfhXqaZ8ZrC2tkEfVp4B8dJKAxJzvnm7B+lIJWvXSLoAsmxa775LQ 0u6BUnklK2Yy8mjaBlRFJLwwEoMUs7FmeCvFHZwKhfBCxyDqtxYiv8SO1YD6TUXo65jEzwcE/EGV EurpLhtLAckaqM5wOecZtvR1yaPqU0AmrCQgN3Dj+hoovCeXvA66ZEoL9exx3WcKwKBVwqpXIhhJ xE9WCvq8AYQUQHltbtonBWUK9mwTNuwqw5nDnWjziWiyLPV40m1DxQawkg5u9k2ERnfRUI5MkBgr zUky/UeGTFgp28v0DYwx4SiTomcIdrOAyZGZDuwrA91uHzQ6FdSa1XWKrGkuwtiwB9+6NI6/bVTC toCi9blAhEVjzKiLxexWPVpOgo/9VOk/Ln1jwxDFGDhebuI3H1bX2XgToNVqmCWUSRTYRHT3Xjci 4qaB1OK9riAMJjVU6tV1ipA12LipBC93uPDGeAyfKFIvKSI401E10VtseQS7efYsNg1IxvxYXWfj TTj583IcUHozy1gOE3U6WIRgJ8PwCzH0egKwrbGBV62MmNpiYHUYmED1jNuD+/Pj0C7BOp5ps0OV BtS8cLHglQo2Ks0bXfi2vQE/4otoj3MrQiasFC5hT98QSs00hitzpJVrUSAQjSEgxGBYASnti5Nu OCNRNJTbV038ajZ4FYfqxmy0HnLDJcSRvwTCIpeQ6gsp8E7dSWdyhCQGjS5AjU7CX8oGi/GFb5sG UMjC0eS4+VfHCg+6NzdWwzvYn9Ht1OTHYTSG8eNz7XhyfS1UN9EtEOMSXukaRk65BUXl1DZ4daKk KhsfHOlFfzCO/CV5dDQSLIe1h6YWPzMJES0HuAUpYy4hp5RdwmSQCSuFcPSXr53AlioJejpTMwSj DnhkewTffXUM3rCA31pXgzwjuSTLb92cHJ5Auy+Au/c3MFX6aoXeoIU934i3J6ew2aZjpTKLRaKh IdFVhI2LzTT6x0fkoHsKyISVwsLasaURSt/SZQ0LAV1L9zZLKMsJ4Zu/nMBfHg3hk/Ul2F2Sz9yK 5UK/14+fnu9DTpEZWbk3t1VMOlBQasOZPhcmoiJyF9CAcS63kASk1Oue3MNMo7KgWB5VnwLy0Ulh Yb319ofYVU89ljJ716ObamNJHH/7mxF8+1cifni2AzoVj60FmW+IR3GTQa8f3zzZCr86jrvvqFh1 2cG5UFjuwPmTQ/j5QASfq1BCswQzi6ysCCahQe6CJgbdCN5rO4/N0Si0upvXpnmlY/WflRkuzXny dz+DoPMiOF7DWn/EJRGRkBtqrRkB7zAM5nwEfeMwmPMQCXnAq7SIhFzQ6GxwjlxATAhBb8qF1pAF SYpBb85DLBpCTAhCZ8xGPC5BFMLg1XpIkohcUcDflo7j1dZinDgxgWZJhDrDcY32KTf+8VQbokYe +x5sZALMjwLs2UZsvqMMx15uR4MlhjuyF68gp4lBYYyxbKGSRp1xCvgWN5BowagtKpMtrBTgb+XW MWfPnkVRUREGBwdRUFCAcDiMYDAIs9nMWtWShSUoHVDadsAfCMBisSAQCKCsrhS9vb2oX/cYzpw5 g/qtn2Cv6X2/3w+9Xo+RkRGU2ssR9I3AXHQn/P4grFYr25bGqkGO3Y6uri7Y7Xb2/tDQEMwWM7Qq FQrXOmAtH0Pj2iD6XriAYnNmCqIlam3j8eMfT19CRM/jnkcaYbIsf6fNTIEynDUNhXCOB/GdkwMo 0cVQYeQXFRkkV5AsK5H1xzJDpQAWEnPnFHHoOQkegRIZHLgFuPadwwPyqPoUuGUJKxqN4q/+6q9Q X1+PEydO4LOf/Sz6+vrws5/9DB/72MfQ2NiIZ599FuvWrWPkVllZiS1btuDrX/86W/Y73/kOvvKV r+Av/uIv8OSTT+K5557D5z73ObYOm82Gp556Cj/8/rdgNZfj77/xjzhw4ACmpqbw6quvIjs7m5Eh bffLX/4yI6729nbs3bsX//Zv/4bOzk489uufwnefH0CjgIwR1tGBMfzkbDeya2zYu7eKBao/imjc XISxQQ++3eHEn9RKyNMvvPyFtFiUIRQRnXaeM4fK/KKMhx5WO25ZwiKQVXXq1Ck4HFc6EezZsweH Dx/Ghg0bYDKZ8J//+Z94+OGHmQU0OTnJCqJPnz7N/r7//vv4xCc+gUOHDsHlcrH3yTp79913kZ+f jyPH3sNdd93FrLI1a9ZgYmIC4+PjOHnyJL74xS/iV7/6FVsvuQGjo6MYGxuD1+tl+i/KFul1aojR 9CvgybU9Mz6Fpz7sRH61FbvvWwP+I5yZMph02HJnOQ49G8D/uziEx6v0WGtxgFtA7ymqIyQLi8p0 lgqiuZAoIBaPs8yvWkmF2dcfb384yKxeGfODv5Wb8xE5kdVE5FNRUcFcvs2bN2P9+vUoKyvD7/3e 7zGLiKwtssjITbzjjjtwzz33MLcvNzcX5eXl0Ol0jJDIirp48SIjoAcffJBZTiQ4ffCBB/DWW2+h uLgYv/ZrvwatVstcxt27d8NgMMBoNKKuro7FzIjgduzYwUjwv//GTnz9q89jR2EeuBsUrlIP9ogY gVFtxIUJF/7+3TaUNpiw/a76y2Rl0KhQbLegf8qDqCii2GZGMCrAotMiJkksCSCIIrTT4la6tugC o5Y5E74gXIEwShxmiFKcLUuarrBAGibavgh3MIJciwG+cBRWnRaBaBQmrQZjHj90ah56tQoxKQ69 mgevVCIciyEiiLDoNOw79N6YLwCHQQeTVg1/RICa48BzCgw4fcgy6aDleXasaB/IC6N9HHL7oChy YNOecrz3uogf9keww+rEgSI7I49UoIZ+YYwvad4jgY7ds6NdiOdXgePUqJwawHZ74fXLiUtb/62E W5awiBweffTRlJZIdVk2As528GobJNGLwttKEXOfxkN31yEWDcI58hL2bCTNUj48g4dRoMtFVkEW et8/gXX1jXj733/MYikFZZUI959HXpEBPt8U9LwNH79jF+JSHFG/EzvWVEMSYxgVg/jRP/01iiqa 8N2nnsGx/gDuLMtDlc28+GnOjDCCeKfvKBqKHLg01oeYoMBPLxpgylOhfk2EZSdncGdtKRqsGrhq S1gL42I9z/adOoQSCZOFSBYkxflCoRAjbXKX6WF3VKF1yodidZxZrDPLkrVINwSqkTMYTfC4nJfX QdNhfD4fsrKy2PoikQizaikOSNYsxfeI3MkqpWXIjbbYHXA7nfB63OxzuvGQdVu2ZwNzud1uN/u/ 0PK0D7QNlbEK3z12Fmuai2GyavHO6134t6Ew3pkM4r/XqFFmUCetbVfBjhBGICIMs0qL0fDirCAi db/WhqLy9SxpI/oS+3gtbEbzsspYViNuWcJaCOgC+fdn/hW1OSNJR9X7nD3s78h4EP0dPIqsif5R 58aGLi/jGh1G36QTNiuPoQk/CmwWTGgNc57cdlFC8Pxp7MsGhgqV+Nt3LmJrQRbKrQbkGnRQcwqY NSrkGvRzklhYCMMVmoIrOARe48GGKi00fBjNhlw8eyEGJQ/cVj4JQ1Y1jey58v8NBfHX//R3+NZ3 vovXX3sVx7u6mGVJ5EJxueeff57F/MjdpUTBxo0bmctMlmJX18v4/d//fXzhC19AQ0MDXn75ZXzy k59Ea2src7t/93d/lx1Pslh/53d+B8ePH0dbWxvy8vLwm7/5myyeuG3bNhYzpM86OjoY6VRVVbHv kZtOVuxXv/pVPH3wBUZ6LS0tqK6uxptvvokvfelLbJvkjv/2b/82uyH9wz/8A0pLS5GTX4CsorWY 9AdRXJGDvM/Y0d81iUtnh/A/Wz3YZIniQBGPMr0yiR5Lw/RYQN6izqGpaAjnPEFAjCb6SdOgDDFM 876vW3ZocjwxpmxRW7i1IB+bJKCT/v57tqO/5fkFLW/QqWHSzZ/hKc1KEJk5f35RJt1h1bPMnseb JDx7IYBjgyG80sUxFyc+XVz7maZi3Fmax4ZERMUoi8m0jrVApwrDL42isTgfCkUiwEwzHw53izjY wqPG3gvThiy4e4dgr10PBa+8yqpUc0pcamtDc3Mzs3aIQI4dO4b9+/fj6NGj2LVrF86fP8/IgAiN EhWf/vSnERZijMx+/vOfMyuLrDNKVpDr/I1vfAPPPPMMc3W///3vMzebCI4SF5SpfeKJJxjZ/fEf /zHbD0o8FBYWMmIkoty0aROz1tj/RZJYwoK2TxZWU1MTvve97zGiJLe9v78ftbW1zDLr7u7GUz/+ CZ7+sPvy/5E0ZpVr8lBRl4vOlhEcf7UTra1RfL1JDds8xd6Jhn5exEG6uIVbQT6TA33Va5GrNYHj VYgJFA2b+xzZuqYBajlDmBQyYSUBXYy/eOko6vMXNqo+IsQQigCWNM7BtOmU+NxmJSJiHGN+Ce4Q 4I+I+I9zHNyxPoxF2sEpeXhDflgNeuRmRWEz6MEpE9OLfVEJ7ZPAu30KnBlRoMAyhtufzIelxIy4 Qg3FrOAvXVBEMG+//Tbuu+8+lhwgciCLheJ7DzzwAPtL8T1y8+j51q1bWXaTiEynVrFkBZEIZUKJ iMgtI9eNyIkSC5SBJfkIuXr0mjKs9Dm5hJQxpXXT64LCQtx27/1w9nXjS1/+H9Dn5KPt5AlmgVRV V+Ohhx5illVOTg7bZ0pYkKVH66F10H5TvJDW1Xr+HMochRh2UwfRKyBCrW4oQFGFA4cPtuAr5134 Uo0K1cbrf2seekQxxdrNYLr1zLUIk/s7PQ0oJFLEKw6VWgO9Jeuyq0cNltWKuWNVZ7va2SBVeVT9 /JAJKwkobrNlw1pEJ48taPlYTGKklQloOAVKLPQAxgNAVIyjzB5nwyEIdtPMSCo1Gx12ZjSKQx1K fDiU+ImNmjgObA7A8qAd+mmZhLtjEI769VBMu4Ut427s/MSnWHC7MxCEsX4L/NEonuscx46PfxLt 4Shq99wDdyyGsi0FTPRamF2Eo/2TyGncgh+fOIeiklrsqKxnBdyhqACtJS8RpI9E0eIPoXztBox6 /bAYDXCHQrDqdOiecsPgyEZRSQ2CMQm2gkroYjH84OgZbC0vYMH81uPnsXdNI775+knU5pbinREP 7E3bYNRr4Q6Fcd9nP4/OYARbHniUDSN1UheM5u0sGZBjMqDz0tXTfmZDp9dg70ONeP7pU/iz80EY VFeEVlMRDhLruEBWcf30uxLuf3sh2VsFyi1iYtbgNGFRnvCUZwrtPi8iUR80vA6xqB86lRr/bfOj 8qj6FJAJKwnIirh4qQ/l1viCsnQ6DQ+rMfMtbuPTLUu015zb1Ln3eJ+EFy5Sfy0eFXbgkcY4qrPi KDALOGMOA1E9Rs9ICIyEYa3ZBiV/ZSW9Ux70Tp2fc5u9k54F7dupnuGkn7/TNYjF4OXznZefP/dB G/vbMUZ0lF5Qd9UHPrkRHx69BNEnsiQBxQeLWUZ0YS4gidRnzhOys+g+kG03sKTF5WVUalTuPMCy prQokaEiLmKw6yzebPkQ24RH5VH1SSATVhKQy2BiXRMWhilPGGMuAZa8zI7q6nfHIIgqcIorlsCY P47vvRdH55QSe6tEPN6khD8aQfvkGLRxAw6e60P1Z9bBOxaAIec26GkUlpyRugp6owZb9lRg6M1X UNZ4N3OXM3GE6CahmXWjIPAKCbk2ai+zejtkLAdkwkpBWFqNBrN4ISkcFh0Ee+bvjladEkUWCf/3 KJBjEBGOxeEKc6iwAU80h2AxuHDKoIU/VwFdcy5GI3FU37sO/t4YfH0W6NbxUGSwR/1qBq/VQe3I YxITmhW5XOBURniDsnA0FWTCSgLSF505fwnbauPM3E+FSU8YEx4RpuzM1uNVOzh85fY4WsZFTARI pAmszY6DvNELYR/iuwugN6lhmGVB0XUgmC3Iba6XLaskUHAcVAY1Aq5hWHLKl227YtiFsGRZtu2t VsiElSLofu+990En9UCt1kAUBXDcFVOegs4KhRLRiB9BzxA2blqHqXwaR29IaG6Y1JqILwaO41m/ bvoON2uUkyhE2euA28lcEJ3RhJDfC73Jwr4/0+PbOzmOkM+LnLIKKDkeYiyGGk7JrMBwwA+NzoB+ jwclpjJkVWZDqaRgsYR+Vz+mAk6E3SF4B/2wljfclGO5kkEZvGyTnmU5J0hJv3EzpPEgOE4Pi1HL RLQqnmOKftaxg2WQY+w9XzACo14DISYmRLaKK+scmfTCYTWwmwWp2GfWQbIVQZTYemlxStTk77kP quhoIkAvY17IhDUrwE4Cx+3btzPLiur8SMldW9sEl6sQJz/4EBuaN2PM6WQ1hCRcJB0QiRd3bN+C 2rr9uNTjROFGGwaHBmG1WOF0OpngklLvVCM40xWCMkFH3joCSZSYJODIW29hz213wOHIwiuvvop9 +x/GW8eOYXhomIkzSU+06Y79CE6NwQU1Tp46hc2bN0EQYkx6se3u+3H8xAmEAzEoxr0oLSpi/xfS P/367Y/hmy8exHBbHywVMlnNhfUludhs12JoYABb7t6G0ZERTI6PY/PmLejt6YZturPG8NAQNFoN zCYz6hvWo6+3F7V1W3DpUhtysnPYbxEVojAZjRgcGkLB3iZ4naNMzV9RUYlIJMzqSv0+H/ILCpgg l9jPbLGgp6cbStiYDITEr3SzJL3bBx98wHRmVFRfV1fH5Bs1NTW4VSET1jRmVNhEWCRUpJOJ6v3o BLlw4QIjMKojJKU3EcWePbfjlVdeQVPTOrz62pto+KMv4q23nmcnJ7WtIZHluXPnEp0XHnuMkRSJ J6kOkUgoEomy52+8+SYrSRkdn8BffvV/4c/+7M/whT/8I/z5n/85Tp48hX333IO/+drXIH76Cezd uQPHXn6F6ZD+6xeJfST1N8U9Xnzxlyy7RJopIse21jYE/AGsqW9EXlEzovrKm32IVyya8mx45gff wdq1a/Husbdw5MgRVlP67M+eYceSnvd2d7LfloSx//KTH7Hf9MUXX8S3v/1tPPPTf2U3IioNIqIh fRrdML72ta/hf3/1L9nvTJnAS5cuMVEr3YBIR/aDH/yAkRKJc4mESKhcWVnBSIvqSUlou3PnTiaK JZ3bxo0bmSD3T//0T3GrQiasOUC1aXQCDQ8PsxOQiIfayFDLmPvvv59ZYySMnPnMZDJCEY8wkSKV h5BFRScfpbP37dvHvketZ0itTaJM+ksnNVlAjz/+OJ5++mlGknTi0onP7tRREiiCKbrpInnz8BE8 9PABJsoklTl9n8SRpBinE/+RRx5hd2NalgiQQBZeQXEJwj1nb/IRXdkgl5wI6G/+5m9YgTr99nQj oN+lpKSEuWkkdCVQrSP9rvT70PsKBYfyigqcOH6c/eZUyN7T08POD/pL6n1qSUSKfbop0rlDoHXQ +ULnBp0jtH2qKKDfjLZBljndkKg0iX5rIiq3282EsbcyZMKaBhEBEQ3VxhGhUO0auX0PPHA/u3Pu v2cfO5mIZKiNDN3x6OTevm0rDr74S4hQsROdCI3epxOMCKWpsRHVVVUwGI2w2azYvm0bIyVq/Efb INKjE7euthbKe+9lZS6f/fQTyHHYGRnRer7xd3+HI8eOsYuEukrs338PXnjhIDupqZaufu1abN+5 nbmctE6qwbv99tvZNvu6OlBiN2PcF7jZh3jlgsa59fSyNkLkuh0//ja7UXzhC1/EsbePsRvBvffe i97ePtjtNuaiUUcP1hLI6cPOXbtZVoN+RyIZumnQetraWtk5Q1UDpL6nEALVTg4MDLDf6FOf+tT0 OfYAXnvtNUZGRE50flAHELK+Dh48yMiPOots376dhSNuZciENQ26O37+85+//JpOSLojvvSLn2BH vRIdp/4ZuxrNEKbexEN3UNmLD3FRwNCFn2L7GjO63/8xbNBgR1U+eIUCkncc63OtEAY6kS3GoFJE YYzHkGdSQznSi60luYAijkjAyQqafUOdEEIhNJgtCAx2oGWsD3U5eRBDbpz4jx/DkZWNDw7+DCqV Gu0DHVifY4Faq8Wpl59D+e1leGHoJeTeXYCol8Opc5eQXb8ZzrAIT0yLtrGxm3psVzqeO9OBjWVr UWDQ4OKkF9k774GVV+DpV8+jtmwN1lUb8Nb5SVQVl2AkEMX2Ox9G93gUG3bei/964wzys8zYuPsB Flg367UIhKM42+dCZfVGWENRlnvxQ8nKirJKs5BT1giRV0HUGXDgNz6PSVcAVc17oYOPERoRFgXw iaioIJxuphRX5TiOnZe3MmTCSgI6aSgD2HPpPDQqjp1wVFMYDMVg0PEIhGLsdUSQoOIU6B8JwjOs R4Flpkxm8fBMXCEX1/AVVbh7bGTO5dvdTvRFONiqshANRND39gSy1zyArq7RJe9w11nzAAAAm0lE QVTDrQZ3MIw32q4u3Yn6PBh68xAG1+9jmWDCB60Dc36/tXvuG8I75+YvB5oLefoQdmxpvqqv+8zz mb/cLd6RVCasJCAX7LXX30eRQYLdqGd3zny7GT1jPlTk2dEz6keOVQ93QIAoxVidWIk1syr3a2HS m+DpjAPKIgQnp5BVux689qPTl/1mgdfpYSmrXdZtRsIhWdaA5Pj/wY+Pist5OCYAAAAASUVORK5C YII=