20250210 11073600 FGDC CSDGM Metadata FALSE 20201020 11162700 20201020 11162700 1.0 FGDC OSODBA.LUP_PRGS_POLY -125.500000 -116.400000 41.700000 49.100000 1 002 Geographic GCS_North_American_1983 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/10.7'><WKT>GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>2e-08</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem> 150000000 5000 original metadata PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YSB4bWw6bGFu Zz0iZW4iPg0KICA8RXNyaT4NCiAgICA8Q3JlYURhdGU+MjAxMjA3MTA8L0NyZWFEYXRlPg0KICAg IDxDcmVhVGltZT4xMDAwNDEwMDwvQ3JlYVRpbWU+DQogICAgPEFyY0dJU0Zvcm1hdD4xLjA8L0Fy Y0dJU0Zvcm1hdD4NCiAgICA8QXJjR0lTc3R5bGU+RkdEQyBDU0RHTSBNZXRhZGF0YTwvQXJjR0lT c3R5bGU+DQogICAgPFN5bmNPbmNlPkZBTFNFPC9TeW5jT25jZT4NCiAgICA8RGF0YVByb3BlcnRp ZXM+DQogICAgICA8bGluZWFnZT4NCiAgICAgICAgPFByb2Nlc3MgTmFtZT0iRmVhdHVyZSBDbGFz cyB0byBGZWF0dXJlIENsYXNzICgyKSIgVG9vbFNvdXJjZT0iQzpcUHJvZ3JhbSBGaWxlcyAoeDg2 KVxBcmNHSVNcRGVza3RvcDEwLjBcQXJjVG9vbGJveFxUb29sYm94ZXNcQ29udmVyc2lvbiBUb29s cy50YnhcRmVhdHVyZUNsYXNzVG9GZWF0dXJlQ2xhc3MiIERhdGU9IjIwMTIwNzEwIiBUaW1lPSIx MDAwNDMiPkZlYXR1cmVDbGFzc1RvRmVhdHVyZUNsYXNzICJZOlxhMW1pbGxlci5CTE1cMjAxMlBy b2plY3RzXERhdGFTdGFuZGFyZHNfV29ya1xQbGFuIEJvdW5kYXJpZXNcUGxhbkJvdW5kYXJ5X1Jl dmlzZWRGb3JtYXQuZ2RiXFBsYW5fQXJlYV9Cb3VuZGFyeVxQTEFOQkRZX0FSQyIgIlk6XGExbWls bGVyLkJMTVwyMDEyUHJvamVjdHNcRGF0YVN0YW5kYXJkc19Xb3JrXFBsYW4gQm91bmRhcmllc1xQ bGFuQm91bmRhcnlfSnVseTIwMTJSZXZpc2lvblxQbGFuQm91bmRhcnlfSnVseTIwMTIuZ2RiXEFW WV9QTEFOIiBBVllfUExBTl9BUkMgIyAiREVGX0ZFQVRVUkUgIkRFRl9GRUFUVVJFIiB0cnVlIHRy dWUgZmFsc2UgMjUgVGV4dCAwIDAgLEZpcnN0LCMsWTpcYTFtaWxsZXIuQkxNXDIwMTJQcm9qZWN0 c1xEYXRhU3RhbmRhcmRzX1dvcmtcUGxhbiBCb3VuZGFyaWVzXFBsYW5Cb3VuZGFyeV9SZXZpc2Vk Rm9ybWF0LmdkYlxQbGFuX0FyZWFfQm91bmRhcnlcUExBTkJEWV9BUkMsREVGX0ZFQVRVUkUsLTEs LTE7Q09PUkRfU1JDICJDT09SRF9TUkMiIHRydWUgdHJ1ZSBmYWxzZSA3IFRleHQgMCAwICxGaXJz dCwjLFk6XGExbWlsbGVyLkJMTVwyMDEyUHJvamVjdHNcRGF0YVN0YW5kYXJkc19Xb3JrXFBsYW4g Qm91bmRhcmllc1xQbGFuQm91bmRhcnlfUmV2aXNlZEZvcm1hdC5nZGJcUGxhbl9BcmVhX0JvdW5k YXJ5XFBMQU5CRFlfQVJDLENPT1JEX1NSQywtMSwtMTtBQ0NVUkFDWV9GVCAiQUNDVVJBQ1lfRlQi IHRydWUgdHJ1ZSBmYWxzZSAyIFNob3J0IDAgMCAsRmlyc3QsIyxZOlxhMW1pbGxlci5CTE1cMjAx MlByb2plY3RzXERhdGFTdGFuZGFyZHNfV29ya1xQbGFuIEJvdW5kYXJpZXNcUGxhbkJvdW5kYXJ5 X1JldmlzZWRGb3JtYXQuZ2RiXFBsYW5fQXJlYV9Cb3VuZGFyeVxQTEFOQkRZX0FSQyxBQ0NVUkFD WV9GVCwtMSwtMTtWRVJTSU9OX05BTUUgIlZFUlNJT05fTkFNRSIgdHJ1ZSB0cnVlIGZhbHNlIDUw IFRleHQgMCAwICxGaXJzdCwjLFk6XGExbWlsbGVyLkJMTVwyMDEyUHJvamVjdHNcRGF0YVN0YW5k YXJkc19Xb3JrXFBsYW4gQm91bmRhcmllc1xQbGFuQm91bmRhcnlfUmV2aXNlZEZvcm1hdC5nZGJc UGxhbl9BcmVhX0JvdW5kYXJ5XFBMQU5CRFlfQVJDLFZFUlNJT05fTkFNRSwtMSwtMTtTSEFQRV9M ZW5ndGggIlNIQVBFX0xlbmd0aCIgZmFsc2UgdHJ1ZSB0cnVlIDggRG91YmxlIDAgMCAsRmlyc3Qs IyxZOlxhMW1pbGxlci5CTE1cMjAxMlByb2plY3RzXERhdGFTdGFuZGFyZHNfV29ya1xQbGFuIEJv dW5kYXJpZXNcUGxhbkJvdW5kYXJ5X1JldmlzZWRGb3JtYXQuZ2RiXFBsYW5fQXJlYV9Cb3VuZGFy eVxQTEFOQkRZX0FSQyxTSEFQRV9MZW5ndGgsLTEsLTEiICM8L1Byb2Nlc3M+DQogICAgICA8L2xp bmVhZ2U+DQogICAgPC9EYXRhUHJvcGVydGllcz4NCiAgICA8U3luY0RhdGU+MjAxMjA3MTA8L1N5 bmNEYXRlPg0KICAgIDxTeW5jVGltZT4xMDAwNDIwMDwvU3luY1RpbWU+DQogICAgPE1vZERhdGU+ MjAxMjA3MTA8L01vZERhdGU+DQogICAgPE1vZFRpbWU+MTAwMDQyMDA8L01vZFRpbWU+DQogIDwv RXNyaT4NCiAgPGVhaW5mbz4NCiAgICA8ZGV0YWlsZWQgTmFtZT0iQVZZX1BMQU5fQVJDIj4NCiAg ICAgIDxlbnR0eXA+DQogICAgICAgIDxlbnR0eXBsIFN5bmM9IlRSVUUiPkFWWV9QTEFOX0FSQzwv ZW50dHlwbD4NCiAgICAgICAgPGVudHR5cHQgU3luYz0iVFJVRSI+RmVhdHVyZSBDbGFzczwvZW50 dHlwdD4NCiAgICAgICAgPGVudHR5cGMgU3luYz0iVFJVRSI+MDwvZW50dHlwYz4NCiAgICAgIDwv ZW50dHlwPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5PQkpF Q1RJRDwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5PQkpFQ1RJRDwv YXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5PSUQ8L2F0dHJ0eXBlPg0K ICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+NDwvYXR0d2lkdGg+DQogICAgICAgIDxhdHBy ZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRS VUUiPjA8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0cmRlZiBTeW5jPSJUUlVFIj5JbnRlcm5hbCBm ZWF0dXJlIG51bWJlci48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcyBTeW5jPSJUUlVFIj5F U1JJPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tIFN5bmM9 IlRSVUUiPlNlcXVlbnRpYWwgdW5pcXVlIHdob2xlIG51bWJlcnMgdGhhdCBhcmUgYXV0b21hdGlj YWxseSBnZW5lcmF0ZWQuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRy Pg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5TaGFwZTwvYXR0 cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5TaGFwZTwvYXR0YWxpYXM+DQog ICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5HZW9tZXRyeTwvYXR0cnR5cGU+DQogICAgICAg IDxhdHR3aWR0aCBTeW5jPSJUUlVFIj4wPC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5 bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwv YXR0c2NhbGU+DQogICAgICAgIDxhdHRyZGVmIFN5bmM9IlRSVUUiPkZlYXR1cmUgZ2VvbWV0cnku PC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnMgU3luYz0iVFJVRSI+RVNSSTwvYXR0cmRlZnM+ DQogICAgICAgIDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbSBTeW5jPSJUUlVFIj5Db29yZGlu YXRlcyBkZWZpbmluZyB0aGUgZmVhdHVyZXMuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0K ICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVF Ij5ERUZfRkVBVFVSRTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5E RUZfRkVBVFVSRTwvYXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5TdHJp bmc8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+MjU8L2F0dHdpZHRo Pg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxh dHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxh dHRyPg0KICAgICAgICA8YXR0cmxhYmwgU3luYz0iVFJVRSI+Q09PUkRfU1JDPC9hdHRybGFibD4N CiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPkNPT1JEX1NSQzwvYXR0YWxpYXM+DQogICAg ICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5TdHJpbmc8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0 d2lkdGggU3luYz0iVFJVRSI+NzwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJU UlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNj YWxlPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5j PSJUUlVFIj5BQ0NVUkFDWV9GVDwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBTeW5jPSJU UlVFIj5BQ0NVUkFDWV9GVDwvYXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVF Ij5TbWFsbEludGVnZXI8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+ MjwvYXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4N CiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgPC9hdHRy Pg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5WRVJTSU9OX05B TUU8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+VkVSU0lPTl9OQU1F PC9hdHRhbGlhcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPlN0cmluZzwvYXR0cnR5 cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj41MDwvYXR0d2lkdGg+DQogICAgICAg IDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5 bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAg ICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5TaGFwZV9MZW5ndGg8L2F0dHJsYWJsPg0KICAgICAg ICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+U2hhcGVfTGVuZ3RoPC9hdHRhbGlhcz4NCiAgICAgICAg PGF0dHJ0eXBlIFN5bmM9IlRSVUUiPkRvdWJsZTwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0 aCBTeW5jPSJUUlVFIj44PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUi PjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+ DQogICAgICAgIDxhdHRyZGVmIFN5bmM9IlRSVUUiPkxlbmd0aCBvZiBmZWF0dXJlIGluIGludGVy bmFsIHVuaXRzLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzIFN5bmM9IlRSVUUiPkVTUkk8 L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20gU3luYz0iVFJV RSI+UG9zaXRpdmUgcmVhbCBudW1iZXJzIHRoYXQgYXJlIGF1dG9tYXRpY2FsbHkgZ2VuZXJhdGVk LjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICA8L2RldGFp bGVkPg0KICA8L2VhaW5mbz4NCjwvbWV0YWRhdGE+ /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAN0A34DASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKK8gh+Mtz8RLy3k+Hd5Yz6FFHMt7rGpadLIguAYtkCR maGTOxnZmKlfuAEncBe/tjx//wBBzw3/AOCG4/8Ak2sJV6cHZsxlWhF2bPUaK8u/tjx//wBBzw3/ AOCG4/8Ak2j+2PH/AP0HPDf/AIIbj/5NqfrNLv8AmT9Yp9z1GivLv7Y8f/8AQc8N/wDghuP/AJNo /tjx/wD9Bzw3/wCCG4/+TaPrNLv+YfWKfc9Rory7+2PH/wD0HPDf/ghuP/k2j+2PH/8A0HPDf/gh uP8A5No+s0u/5h9Yp9z1GivLv7Y8f/8AQc8N/wDghuP/AJNo/tjx/wD9Bzw3/wCCG4/+TaPrNLv+ YfWKfc9Rory7+2PH/wD0HPDf/ghuP/k2j+2PH/8A0HPDf/ghuP8A5No+s0u/5h9Yp9z1GivLv7Y8 f/8AQc8N/wDghuP/AJNo/tjx/wD9Bzw3/wCCG4/+TaPrNLv+YfWKfc9Rory7+2PH/wD0HPDf/ghu P/k2j+2PH/8A0HPDf/ghuP8A5No+s0u/5h9Yp9z1GivLv7Y8f/8AQc8N/wDghuP/AJNo/tjx/wD9 Bzw3/wCCG4/+TaPrNLv+YfWKfc9Rory7+2PH/wD0HPDf/ghuP/k2j+2PH/8A0HPDf/ghuP8A5No+ s0u/5h9Yp9z1GivLv7Y8f/8AQc8N/wDghuP/AJNo/tjx/wD9Bzw3/wCCG4/+TaPrNLv+YfWKfc9R ory7+2PH/wD0HPDf/ghuP/k2j+2PH/8A0HPDf/ghuP8A5No+s0u/5h9Yp9z1GivLv7Y8f/8AQc8N /wDghuP/AJNo/tjx/wD9Bzw3/wCCG4/+TaPrNLv+YfWKfc9Rory7+2PH/wD0HPDf/ghuP/k2j+2P H/8A0HPDf/ghuP8A5No+s0u/5h9Yp9z1GivLv7Y8f/8AQc8N/wDghuP/AJNrL8VeM/H/AIZ8L6xr H9q+G7n+z7Oa78n+xLhPM8tC+3d9sOM4xnB+lCxNJ6X/ADGq9N6XPZaK8u/tjx//ANBzw3/4Ibj/ AOTaP7Y8f/8AQc8N/wDghuP/AJNo+s0u/wCYvrFPueo0V5d/bHj/AP6Dnhv/AMENx/8AJtH9seP/ APoOeG//AAQ3H/ybR9Zpd/zD6xT7nqNFeXf2x4//AOg54b/8ENx/8m0f2x4//wCg54b/APBDcf8A ybR9Zpd/zD6xT7nqNFeXf2x4/wD+g54b/wDBDcf/ACbR/bHj/wD6Dnhv/wAENx/8m0fWaXf8w+sU +56jRXl39seP/wDoOeG//BDcf/JtH9seP/8AoOeG/wDwQ3H/AMm0fWaXf8w+sU+56jRXl39seP8A /oOeG/8AwQ3H/wAm0f2x4/8A+g54b/8ABDcf/JtH1ml3/MPrFPueo0V5d/bHj/8A6Dnhv/wQ3H/y bR/bHj//AKDnhv8A8ENx/wDJtH1ml3/MPrFPueo0V5d/bHj/AP6Dnhv/AMENx/8AJtH9seP/APoO eG//AAQ3H/ybR9Zpd/zD6xT7nqNFeXf2x4//AOg54b/8ENx/8m0f2x4//wCg54b/APBDcf8AybR9 Zpd/zD6xT7nqNFeXf2x4/wD+g54b/wDBDcf/ACbR/bHj/wD6Dnhv/wAENx/8m0fWaXf8w+sU+56j RXl39seP/wDoOeG//BDcf/JtH9seP/8AoOeG/wDwQ3H/AMm0fWaXf8w+sU+56jRXl39seP8A/oOe G/8AwQ3H/wAm0f2x4/8A+g54b/8ABDcf/JtH1ml3/MPrFPueo0V5d/bHj/8A6Dnhv/wQ3H/ybR/b Hj//AKDnhv8A8ENx/wDJtH1ml3/MPrFPueo0Vy3w18Rah4o8Jpe6p9mN+l5e2kjWcTRRP5F1LCGC M7lciMEgseSea6muhO+p0J3CiiimAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFU9N1nT9Z+1fYL62vvsk72tx9mmWTyZlxujfBO1xkZU8jNAFyiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOL8X/CPw54vvE1Jr UaT4gjnjuI9e0tI4r5WQbQDIVO9SmUKOGUqcY4BHl3xh+GGgeBfAEEeleGn17xFq2oWunr4l1C7l a+srl1EcN691taRQsscPyJsQlsADdtP0LWL4x8LQ+M9Ak0qe6ubFWmguFubMp5sckMyTIRvVl+9G uQVIIzUtdVuJo5miuM+GfiO/1yDxDZajeJqVxoWrzaMb5bQWpuWhSMPI0YkcAly/QgEYO1eg7Ovn pRcG4s8KUXF2YUUUVJIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABXLfFT/AJJh4v8A+wPef+iHrqa5b4qf8kw8X/8AYHvP/RD1UPiRUfiR1NFFFSSFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAT/Bn/AJEiT/sMav8A+nK5rua4 b4M/8iRJ/wBhjV//AE5XNdzX0cPhR70fhQUUUVRQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRXLa78TPDvh7UZLC4vJrm/hx59rpllPfS2+QGXzVgRzFuByu/G4A4zg4TdtwbtudTRXn Nx8RvEOpr5eleFW0tiCr3Ov3cQEZPR44rdpfN28kqzxZ+UBuSVzLjT9f1nd/bHiy/aKXHm2OkIlh b8fd2OublOgJxPycj7p2VzyxFOPW5zyr049T0HxD4z8P+Efs/wDbuuabov2jd5P9o3ccHm7cbtu8 jONy5x0yPWvHfDHhTStfsbjVbrTJbXUJdT1KW2vzFLY6hFBJf3EibZBsmiDLJnGVyHIIwxB6fRfD OleHmuH06wgtZ7kg3Nwq5muWGfnlkPzSNlmJZySSxJJJNadcFbEuorRVjiq4jnVo6GTbr4s0ZfL0 vxQtzbkBVi1+xF4YVH3VjeN4ZDxwWlaVmwpyDuLalt8Ub/TzjxD4YurWPOWvNFlOpQRr0AZQiTli 3GEhcAFSWxu2uoqIYqpHd3JjiJx31LFl8cPAF7B5h8YaPZuHeN7fUbpbO4jdWKsrwzFXQgqeGUev Qiu4rz+uSufhT4Se3lW08P6bpV0VIhv9OsoYbm2fHyyxSBco6nDKw6EA9q6ljF1idCxa6o9torzO Txb41vIktoLbRtMmhGJtSuFkuY7lh3it1dCisCpy8pKsrptddsrWrb4o3+nnHiHwxdWsecteaLKd SgjXoAyhEnLFuMJC4AKktjdt61WpydlI6lWg3ZM9CorG0HxnofidU/svVbW7kYPm3SQCZCmzzFeM 4dGTzYwysAyl1DAEitmtjUKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooA8IsL2T4d+L9c0DxBLcx22qa3Ld6JqE1pstJlui05thKuVEqy+eNshDNlSoIYAdvVn4 r+JPA2l6FFo3jy9sYNM12T7Elvek4lPB3ZHKBTtPm/KEO07lODXm3wck8SXPh5LzWLpbrSLy2tbn SRPc/ab2KJoQWW4lEMSuc7SDtJyzZZsA15WKoqL509zzcRSUffT3PQKKKK884QooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuW+Kn/JMPF//YHvP/RD11Nct8VP+SYe L/8AsD3n/oh6qHxIqPxI6miiipJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKAIvgXa3dv4S1V7m9+1Qz6/q0ltF5QT7NH9tlUx5HL5dZH3Hn95joor0WuG+DP/ ACJEn/YY1f8A9OVzXc19HD4Ue9H4UFFFFUUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAV5l4otf7C+JUU4Gy01+y2tgbI1u7c8ZPR5ZYZPZtll/EF+T02uN+K2kz33hddQsreS51HRrmPU 4I4VLyuqZWeONBnfI9u88aqf4pF5UgMMqsOeDiZ1I88GijRUVpdwX9rDc200dxbTIskU0TBkkQjI ZSOCCDkEVLXz54YUUUUAFFFFABRRRQAVW1LUrfSbN7q6cpEhA+VS7MzEKqKqglmZiFVVBLEgAEkC uf8ADUHiO40u/wBYglufEZTU721m0kLbxGKNLh1hNrLiNHwmwSLI7c7hvV4mifrvDfgjU5tXs9Y8 STWYnsWaWy07Ti7x28rI8TSPMwUzHy3cAbI1XzHBDkI69kMLOTV9jqjh5Nq+xD4G+HZtfEC+M9YW WDxNPaTWJt1kUxQWjTLJFCQuQXQICzBmG+WXDMgjC+g0UV7EYqKsj1UlFWQUUUUxhRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVxPj74oWvg28ttIstPuPEPie8gknttHsnR WEag/vZpHIWGIuAm85JJwqsQQO2rhfiR4L1jXb/Rdb8PXlvDq+lmWE2l/kW15bTNGZo2dVZ42HlI yuoOCuCpDHEyvZ8u5Mr2fLucpoeha5PqVprnijXn1XWY7eeEW1tDFFZWomkjd0iAQSMB5UahpHYk KTwTx0tcH42h+Ifg+y1HxXdXGiQadZQW8MXhy286+N9M84U7ZlhjeOVgyRoNkibmywUfMO8rxK0K kXepuzyKsZp3n1CiiiucwCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAK4Lx7c614m/4SHwfo+n2Enn6OPNvb6+eHy/tP2iJdqLC+7b5RJyy9QPeu9rltO/5Kf4g/wCw Ppv/AKPvquOmpcdNTqaKKKggKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAn+DP/IkSf9hjV/8A05XNdzXDfBn/AJEiT/sMav8A+nK5rua+jh8KPej8KCiiiqKC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPK7jTB4H8SLpCqE0XUS8ulBBtjtCi Jvsxn/gcsagn5BKoVEgXOpXSeMfC6eLNHFsJ/sd5BNHdWl4E3mCZDkHGQSrDcjqGUtHI67huzXAy a/Jol7Dp/iW3j0TUJnWOGQSNJZXLMfkSG4ZEVpDyPKYLJlWIUrh28nE0Wpc8VoeZiKTT5orQ2qKK K4DiCiiigArI8K6VqfxM0iw1aZ7jw94cvYI7q3ht51+3XcTgECVgCIEKkn905kO9SHhZSp16xoNR 1rwBZs+mGLUfDlkrS/2ILV3u1jA+aK1kD4AAGUiZG5/dh40KeX1Yd01L958jpoOCl756nZWVvptn BaWkEVra28axQwQoESNFGFVVHAAAAAHTFTVT0jWdP8QadFf6XfW2pWE2fLurOZZYnwSpwykg4IIO O4NXK9s9cKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsbxX4x0fwRpiX +tXgtLeWeO2iCxvLJNK5wkccaAu7H+6oJwCegJrZryL406e+keKvB3i43dnNHb3S6KumXwVWzeSR oZrVwN3nLtG5TkGJZMbDuLTJuMW0TJtJtGxq/wAdNB03Tpbm30rxPqsyY22dn4dvVlkyQDgyxInA OTlhwDjJwD5z4Ql+I3jfwJp9zqXjDV9Aur+B4NRs7rTrdLmLEoUvbukUTQOyo+Cwk2iUEfMoavS6 K8meLnJaaHmSxMpLTQ4aT4O6BqU97Lrv2nxSbiD7LE2uutzLaQ75X2RTFfNHMzfMzs4AQbvlFWfC 3jL4ieC9Ks/D+oeHl8Zy20flxeJDq8cAnBn2p9oRk3oVh5Zl80sVH3izEdhRWUMRUg273M415xd7 nI6vpHjTxlHoba74i0zTn0+4+2n+wdMZZVlMEsRVZJ5ZVK4mbkxZOB909Ocne98D/E/TVI17WNO1 GzFvlLlrrfcvOvm3EsTTAQxxqI8tFCEXzyMj5Vr1GvPb20OtfFy2s9bhjaOwtm1LQpbJZYpEwYo5 /Om4ySzgCJGKlGPmqf3dHtJVG3PsHtJTd5HoVFFFc5gFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAVy2nf8lP8AEH/YH03/ANH31dTXD/E3w/pdxbabq0um2kuqwarp UcV88CmeNDqEPyq+NwHzNwD/ABH1NVHV27lR107ncUUUVJIUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBP8Gf+RIk/7DGr/wDpyua7muG+DP8AyJEn/YY1f/05 XNdzX0cPhR70fhQUUUVRQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVDe2Vvq VnPaXcEV1a3EbRTQTIHSRGGGVlPBBBIIPXNTUUAcPN8G/DSlm06O/wBCYDMMek6hPb29u3Zktlfy OvzFTGVYkllbJzSm+GviCyx/ZnjN7jd/rP7e0yK5246eX9nNtt753b8/Ljbg7vRaKzlThLdESpxl ujzOXwh4509fMj1Dw9rrE7fsz20+mBR/f83fc5xjG3YM5zuGMNRuF8c6ZdRLdeDoNRtpEcmTQtXj meNwVwHW5S3GCC3Klvu8gZBr1qisnhqT6GToU30PJv7R8S/9CBr3/gVpv/yXSSW3jDxBDLY2Xh26 8NTSoV/tTVrm1ZLcEY3pHDJMZJFJDCNgiNtILrxn1qipWFproJYemjM8N+G9P8JaPFpelxSQ2cby SBZZ5JnLySNI7M8jMzEu7Ekk9a06KK6zpCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigArxT4yaVpmn/FPwT4g1W4s7qCaOTS4tP1C5Qm3naWN4bq1gZSWfzNsbshyoeJjhUY1 7XXjXxA+Eviq78eXXjDwvc+G7rVJ44LaKDxDaXDGziRJAzQzLIxQsZCCiIikHJ+bcXzqJyi0iJrm i0jpaK5TwR47Pi+51aym0e70nUNIkjt75JJIp4FuCuXijmidlcpwGHBG4ZAOQOrr5+UXF2Z4kouL swooopEhWB4k8DaP4svtOvdRhuDead5n2S4tbya2kh8wAPhonU8hQPpn1Nb9FNNrVDTa2PPbvWtU +HN14e0aW9j8TQ6jcxWNqt47rqYQFfMlYojLOEUl2ciLaqDczs2a9CrjPFHg/V5/FEfibw/f2Ftq 0Omy6eINSsjLDKrOsi5eNkkX5kxyXADEqoJbdFq3i3xL4YjOq65o+mW/h62Qm9fTb2e8uYwWUCVU +zoCiDczjrtyw+7tbRrmtbctrmtbc7iiqul6rZa3YxXunXlvf2cufLuLWVZI3wSDhlJBwQR9QatV lsZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVy3xH/5F60/7DGlf+nC 3rqa5b4j/wDIvWn/AGGNK/8AThb1UPiRUfiR1NFFFSSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAT/Bn/AJEiT/sMav8A+nK5rua4b4M/8iRJ/wBhjV//AE5X NdzX0cPhR70fhQUUUVRQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AeRfFTw3d+C7nUPH+iSXlxCrJda/o4uEEVxbRQOjzxK6nbMiiJiFdA6w4OWxnT0rUY9X0uzvohiK 6hSdBvR8Kyhh8yMynr1ViD2JHNeiXt7b6bZz3d3PFa2tvG0s08zhEjRRlmZjwAACST0xXzlFdaWv jPR9S+F3hy/XQrzadXX7NJp+mSRTBAlxBHM6DzY1gUnyoWDrKcsGIrgxNFSXOtH+ZxYikpLm2Z6n RRRXknmBRRRQAUUUUAcjfeAns7q8vvDGqSeG768uVu7tFhW4tLqTK7mkhbG0sqkFomjZi2WLEDFD TfHGq6H4iv8ASPFtrsiM1qmm6xp+nzi1u/OITY+DKsTLL8vzyDO9TgDk97XD/GS5eHwLdQyC7j0q 6dbfVbyxjWWW0smz50oQg7ht+QkAlA5cA7MHSL5nys0i+Z2Z3FFRWl3Bf2sNzbTR3FtMiyRTRMGS RCMhlI4IIOQRUtZmYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFcjq3xa8H6LqBsrrX7T7 SjmOZYWMwtiJFjPnsgIhAd1XMhUZPXg00nLZDSb2OuoqhaeINLv7qG2ttStLi5mtlvYoYp1Z5ICc CVQDkoScBhx71fpWsLYK5b4j/wDIvWn/AGGNK/8AThb11Nct8R/+RetP+wxpX/pwt6qHxIqPxI6m iiipJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAJ/gz/yJ En/YY1f/ANOVzXc1w/wZU/8ACBxy4Pl3Gpalcwv2likv55I5FPdXRlZWHBVgRkEV3FfRx+FHvR2Q UUUVRQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVm6/4m0fwrZpd61qtj o9q8giWe/uUgRnIJChnIBOFJx7H0rxLxlL4k8TfEE+E/G10umeHbo30ml2mjym3j1m3VY12Tyifz iyJM26EIiMQzZdVArb0L4b+FfDN0l1pfh3TLG7jeSRLmK1QSoXLFtr43AfMwABwAdoAAArkq4lUn y21OapXVN2sP8ZfE6H4g2upeF/BtpbeI7W4C2ep63NJu0uCGVGMqBo5FeeXy8DbEQFMqlnUgip/B ujah4e8M2Gm6pq8mvX1shjfUZYvLeYbjt3DJ5C4BJJJxknJNbVFebWrurvsefVrOr6BRRRXOYBRR RQAUUUUAFFFFAHI3/wALtEu5NTmtX1PRrnUHeaaXSdUuLUecyhTMI0cR7+ASSpyRls81FceI9X8G X1pBrkf9p6JNvU69bxFGtCoyv2uMZAUqGLXC7UB4KRrgns6Krmb31K5m99TL0PxVovibzv7H1iw1 XyNvm/YblJvL3Z27tpOM4OM+h9K1Ky9c8K6L4m8n+2NHsNV8jd5X261Sby92N23cDjOBnHoPSuR8 N+KNU8Gx2Hh/xdaXcsiOlla+IreN57a+y0ccRlILPDK5kAPmfKWViHOQKfLzfCO19j0KiiioICuR b4seE3uo7az1iPWbl0aTydFik1F1RSoLMLdXKjLKMtjOeKxvjHpm6HS9YvrK41rw1pnnzatpEMm1 ZIlQSpMVMsaSeW8Kjy3DgiRsLkCvQrS0gsLWG2toY7e2hRY4oYlCpGgGAqgcAADAAq7JJNl2SV2c FF4/8VT6bfatF4HkfSra5kSOJrx49QubdH2maO1eEclcsI3dWOMDqpN9/ilYLqlrbHSNejs55obY 6ncaXLBbxzSsyxowkCycsoXcEKgyICw3V2deZ+P9QgsviBoM/iUyWvhLT0W8trk2YltjqJdoVNxL 83khFkVkJCqWYkvlAKqPLJ2sVG0nax6ZRWL4o8UQeFrW0kktLvULm8uUtLWzsYw8s0rAtgZIVQFV 2LMygBCSa5y18O+KfGHmXPiLVLjw3ZyeQ0eh6FcruVVw7ia68sSFmb5SISgCrgM24moUbq7IUb6s li+Nngqe6W3TXY2kZyqEQS7JFBkDSo23a0S+TLulBMa7TuYcV1Oi+INL8R2rXOk6laapbI5jaayn WZFcAEqSpIzgg49xUulaXbaJpdnp1lF5NnZwpbwRbi2yNFCqMkknAA5JzWLqXga1udYuNX0+8u9B 1e6RIrm804x5uETO0SJIjxsRnh9u8AYDBcgt8r2G+V7EvjnXL3w/4bmutNht7jUZJre0tku3ZYRL NMkKM5UE7VaQMQOSAQCM5rGuNN+IOl2u6x1rRNduZHlaSPU7N7RItwfYI2iZjsQ+X8jhmbD/AL0Z AW03w9+26lpd3q3iDU9cj025F5Ba30NmIhMEdFc+XAjZXeSOeCAewrrqd1FWWoXUVZHGQfD+91CZ LjxB4p1fU5V83Fvp8zaZapvcEbVgIkO1QFHmSP8AxHqa6TQdB0/wxo9rpWlWkdlp9qnlxQRDhR1+ pJJJJOSSSSSSav0VLk2JybOM1T4PeDtRsZYIfD9hpM5w0V/pdtHbXVvIpDLJHIigqysAQenGCCCQ bXw51iXV9AuVutR/tS8sdSvrGaZvLEg8q5kRBIsaqobyxGeFGQQcc11NcjdeFtY03xNqes6FqFpH HqCQvdabfwyuk00Sld6SCXEJdPLQsI3x5ana2MGlLmVpMd+ZWbOurlviP/yL1p/2GNK/9OFvUvgb xkPGen3kj2Emm31hcmyvbV54pxFOsaO6rJGzKwG8DPByCCqkYqL4j/8AIvWn/YY0r/04W9KKakkw StJJnU0UUVBAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRWB4/1S50TwH4k1Gyk8m8 s9NubiCXaG2SJEzKcEEHBA4IxVX/AIQ/Vv8AoeNe/wC/Gn//ACLVKN1e5SV1c6miuW/4Q/Vv+h41 7/vxp/8A8i0f8Ifq3/Q8a9/340//AORaLLuFl3Oporlv+EP1b/oeNe/78af/APItH/CH6t/0PGvf 9+NP/wDkWiy7hZdzqaK5b/hD9W/6HjXv+/Gn/wDyLR/wh+rf9Dxr3/fjT/8A5Fosu4WXc7j4Nf8A JIPA3/YCsf8A0nSuxrjvg1/ySDwN/wBgKx/9J0rsa+jPeCiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACob29t9Ns57u7nitbW3jaWaeZwiRooyzMx4AABJJ6YqauA+POkX2vfC fXrCwi1G4eYQieHSWAupLYTxm4SLJAZjCJAF53Z24OcEA4XwTY3HjRtM8eeIZ5b3Vbu3ebTrWSRX g0q2ndpFjhCxp85iaNHkYFm2Yzt4Pc1R0XW7TxBp63tk0rQGSSIiaB4XV43aN1ZHCspDKwIIHSr1 fO1JSnJuR4U5OUm5BRRRUEBRRRQAUUUUAFFFFABRRRQAUUUUAFYHjzw7J4s8H6rpcEnk3k0Ja0n8 14vJuEIeGTcnzDbIqNkf3eh6Vv0U07O6GnZ3OM0q58fWml2cF7pWg395FCiT3f8AbEsfnyBQGfYL PC7jk4HAzirX9o+Nf+hf0H/weT//ACHXU0U+Zdh8y7Hl3xDsfFGuaLDJqmgaDLpOmzHUbuxbX5Vj vEijkKxyFrZE2hyj/OdmYxu45Ho+lapba3pdnqNlJ51neQpcQS7Su+N1DKcEAjII4IzXnGhaBH8S PEniG58UXNvrtnomsT2VjpUWx9PjXyYiHdCuZJ1Ejq28sEYuFA4Neo1c2kkip6JIKiu7SC/tZra5 hjuLaZGjlhlUMkiEYKsDwQQcEGpaKyMzA0vwB4Y0S+ivdO8N6RYXkWfLuLWxijkTIIOGVQRkEj6E 1v0UU229xtt7hRRRSEFFFFABRRRQAVzfxD1DVNM8I3k2jGRNQZ4YVmis3u3gR5USSVYV5kKIzOF5 +7yCMiukopp2dxp2dzzjwR488H6Z4dt7HQbzV9cs7fl72DTr2+aSWQCZ2klSJh5jGXcy8FSxBC4w KvjTxbrGv6BBJpfgjXrizg1K2upZp1hgkaC2uVlZo4HkEzM3k4VGRSQwPoD6jRV8yTvYvmSd7FXS tUttb0uz1Gyk86zvIUuIJdpXfG6hlOCARkEcEZo1TVbLRLGW91G8t7Czix5lxdSrHGmSAMsxAGSQ PqRXLJ8K9M03yToWoav4a8qZ5li02+Y2437yyC2l8yEKS5bAjGCARiopvCPirU7LT7LVfEumXltb 3NpcyyRaM8U85gmjl+99pKKWMYyQmOTgDilaLe+grRvuanhL4j+GfHUatoWt2moSMjSfZ0fbOqK2 0s0TYdRnHJA6j1FdJWXrnhXRfE3k/wBsaPYar5G7yvt1qk3l7sbtu4HGcDOPQelZX/Cq/BX/AEKG g/8Agsg/+JpPlYvdZ1NFeNeCvFml/DS+8SWWvatcaDo8c0g0jStUW5ZYbe2AiZoZ5l/e+Z8jrDGz 7QRtyScel6D4u07xHdXVtZ/a0ubVI5JYb2xntXVHLhGAlRSQTG4yM/dNOUHH0HKDj6G1RUV3dwWF rNc3M0dvbQo0ks0rBUjQDJZieAABkk1wVnb678TI7LUp9Rk0Dwpc20N1bWmlXBW8uw7LIpnm2Awj YFUpC2cu/wC8IAylG+okr6mpr3xa8H+GNYutK1XX7Sy1C1tvtcsErHKp1x0wXIIIjGXIIIUgit/Q tds/Eempf2DyPbO8keZYXhdXR2R1ZHAZSGVgQQOlReG/C2k+D9LTTtF0+302zTB8q3QLuYKF3Mer MQoyzEk45JrltX8Kan4U1q61/wAJDzFvpo5NT0DYpju2MiCS4hLSRrFP5e/JJKuQu4bhmqtF6Iq0 XojvaKy/DHiO28WaHbapaR3EMU25Whu4jFNDIjFJI3U9GV1ZSOmVOCRzWpWbVtCGraBRRRQIKKKK ACiuW8UfECz8MapHp32O41G8NnLqEsVrNbx/ZreNlVpZDNLGFUluDnna3901v6Vf/wBq6XZ3v2e4 s/tMKTfZ7tNk0W5Qdjr/AAsM4I7EGm4tK42mlcwPip/yTDxf/wBge8/9EPXU1y3xU/5Jh4v/AOwP ef8Aoh66mm/hX9dhv4UFFFFSSFFFFABRRRQBf+DX/JIPA3/YCsf/AEnSuxrjvg1/ySDwN/2ArH/0 nSuxr6U+gCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDxXWPhbrvw /uPEeteEtc0o6fqd1catf2nijMUNrM6yNJOlxEMiMHysxup+WNv3ik5qH4b+JNX8VWF7fX0cEmlv P/xK9QjtXtHvYNo/em3d5GjUtkoS+WUglE4z3fxa8Dz+PvC8Njbpb3UlvewXn2C+neKzvFR/min2 KxZMEuBtI3pGWDKCDznhbxCPEml+e1tJZ3cEjWt5bOGIguYztmiVyoEoRwyb0ypKnB4Nebi4pK6j v1PPxMUtUt+psUUUV5h54UUUUAFFFFABRRRQAUUUUAFFFZfifxHbeE9DudUu47iaKHaqw2kRlmmk dgkcaKOrM7KoHTLDJA5oSvohpX0NSiuHt7Xx74htfMu7/TPCMczxN9ksrc313DHhC6md2EW8nev+ qdQCMFutWl8O+LLC6kaz8YR3ls6KPL1rSo5njcFslWt2txggrwwb7vB5xV8qXUrl8zrq4LUIm8bf ES407zb+DR9Dsyl1JZ311Z+beTmN0TMRQP5cSbj8xx9oXjOatap4B1TXLGW3vPHGvW/nYaQaWLa1 VWyGxGwhMqLkYAMjHHBZuSd/w74Y0zwnYyWml232eKWZ7iVmkaSSaVzlpJJHJZ2P95iTgAdAKFaO qeoK0db6kug6Dp/hjR7XStKtI7LT7VPLigiHCjr9SSSSSckkkkkk1fooqG7kN3CiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACuW8ReDbnUNaj1vRtauNE1hYUtpG8sT2tzCsm8JNCx GcZkAZGRh5jfNjiupopptbDTa2PPfEHhnx34jtdS0W51rw6mi39hLby3UWlzi4V3BQqsZuCuNpyH LHnjbjmvQqKKbk2NyuFFFFSSeZ6tBdfCrxNqviaG2juPCWpusuq21lFIJbCQLg3uzeyyBsnzdiq2 FRsMVcnZ1X4x+CtK0u8vf+En0i8+zQvN9ntNQgeaXapOxF3/ADMcYA7kiuzqr/ZVl/an9pfY7f8A tHyfs/2zyl87yt27y9+M7d3O3OM81pzJ/Ei+ZP4jkbGb4iyWtnfTQeHVkldmm0WQzRvBGQ21ftam RXdfk3YhCn5sHoTK+n+OtZ84T6tpHhuBpk2x6bbPe3CxDYWxPLsQMxDjmBgoI6muzopc3kHN5HD3 Nr418LyCe0v4/GOnm5QyWN3bxW1+sJUK3lzK0cLFW+cK0a5BYb84qJPE3jXxD9quNC8PWFjpy+dD bSeIZ57a4mcbQk5gWIlI9wk+RiruNp+Tv3tFHN3Qc3kcZ4f+GNlp99c6rrN3ceJtdvbP7Bd3uoBR G8BC7oUgUCNIyyltuCcs2WOTWMkuu/B3R9OS7nj8Q+DbBDbzTw2hS/0+3GBFK+1is6Io2uVRGAAf DYavTKKOdvfUOdvc89+LPjXw9D8OvENtJr2mJc3+iXElpC15GHuEeFwjRjdlwx4BGc9q9CrF07wV 4e0e1vLaw0HTLK2vU8u6htrOONJ0wRtcBQGGGYYOfvH1rapNq1kJtWsgoooqSQooooAKKKKAL/wa /wCSQeBv+wFY/wDpOldjXHfBr/kkHgb/ALAVj/6TpXY19KfQBRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRUN7e2+m2c93dzxWtrbxtLNPM4RI0UZZmY8AAAkk9MUAcZ8SPH Or+HLrTNH8PaVb6jrmpw3M0Ut/cGG0tY4VQGSTaC7/PNCAiDJ3HLLjNcH8OfAF94MudevdT199d1 DWbpbqd0s47OBXC4LrDH8od+ruPvYXIyCTR+I/jbwgPiZ4N8S6B4k0HVdUvpP+Ebvbe3vhO7W0rG WNx5TNtKSptGUw3n4ZlADD0OvLxc5p8vQ87Ezkny9AooorzjgCiiigAooooAKKKKACiiigArkfip Y6XdeC7u41XUo9Ej0947+31V4llNnPG4aORVYHcd2F2jlgxUferrq5HxJbJrPjfw7pV2ZH08W1zq ZgSRow1xbz2hhZtpBYKZGO05UnBIJVcVD4io7m14Vv73VfC+j3upW/2PUbmzhmubfYyeVKyAum1u VwxIweRjmtSiipeonqFFFFAgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigC/wDBr/kkHgb/ALAV j/6TpXY1x3wa/wCSQeBv+wFY/wDpOldjX0p9AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUVDe3tvptnPd3c8Vra28bSzTzOESNFGWZmPAAAJJPTFeVaz8cL3W7ONfh/4avNfkuI43 TVdUifT9PhWQPtk/ehZZguFYrGpBVuHBwDMpKKu2JyUdWzc+I3xn0HwBa3VvFIuv+J0wlv4b0xxL fTSFC6ho1yyJtG4uVwF5AJKg8Ve+FfFviPwedK1rx9qbzXtqtvqUcNpYmCRXULcJH/oyuAyl1Vs5 XIJBxg6XgPwzL4W8OxwXkkdzq91JJe6ndxoq/abyVi8z/Kq5G4kLwCFVR2roq8qripSfuaHmVMRK T93QKKKK4TjCiiigAooooAKKKKACiiigAooooA5vxl4yHhZbG2trCTWNa1J5IrDTIZ4onmdImkYl pGAVAFwzDONy8EkCovCvhSS01S/8Q6xDbnxLf5ikeCZ5ora3Vv3cELOqkLgB3wo3SMxxjaBV8N+b 4s8UJ4sH2iHRxpotdLil8seesriWS4wuWCuqWwUOVYbX3IpIJ7Orb5VZFt8qsgoooqCAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAv8Awa/5JB4G/wCwFY/+k6V2NcN8Gf8AkSJP+wxq/wD6 crmu5r6RO6ue+ndXCiiimMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKhvb2302znu7ueK1tb eNpZp5nCJGijLMzHgAAEknpipq8y+OPgi98WaXp91BqX2fTrD7R/athdazNptjd2bwsH86SJGPyM qMM/Lt8wHrSbsD0PG7j4qXHxO1S6PjHUF0r4a396V0OWKCBLDUltrp3Au3mV5I3cRphSYg4jcAZ4 PuNcZ4YuLb4nfCi2Etpf6XZ6xprWzw3Mhe4SNkMZYSPkvkfMsjZLAqxHOKPA3jG5u7Ow0nxFZ3+m eJY4Y4pze2wSG7mEKu7Qyx5hfPznYrbgEf5QFOPErTdVtvp0PHqydR3fQ7OiiiuY5wooooAKKKKA CiiigAooooAKKKKACqHiDRoPEeg6lpNy0iW1/bS2srxEB1R0KkqSCM4PGQav0UJ2BOxzeg+KneS1 0rXo49L8QumBAzKI71lXMklr8zF0yGO04kVdpdV3LnpK4L4nW13rn2TR59Fv73wxJ++1W4s0t5vM jGcQeW7eb1xIXiUyDYojyzZTrtF8QaX4jtWudJ1K01S2RzG01lOsyK4AJUlSRnBBx7irktLotrS5 foooqCAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAn+DP/IkSf9hjV/8A05XNdzXDfBn/ AJEiT/sMav8A+nK5rua+jh8KPej8KCiiiqKCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACqes6 RaeIdHvtLv4vtFhfQSW1xFuK743Uqy5BBGQSMgg1cooA8j0X4S+NdAa4hi+IUGq2OQlqms6J500M a5ChpY54jIxGNzsOSucDJrGttL1DTtcuPBHi7XbPxPNLp0eo211DaizuWAndXZkjkbYY2+zlJFCE kkrlo2I91r568VeEtc+A/hvXfFVlc6J4htftc19qQu7RdOv7pJJZHBa6VzHJIrygBfKXcMqgDFVP JVopxfJHU5qtJOL5VqWNIbxD4JvtT006Tq/ijR2mFxp16l9BLNFG4+e3lM8kbnY4YqxLkq6gnK1q eH/iTofiC+g04S3GmaxLCk40rVraS0uirBj8qSAeZjY+TGWA2nnGDXU1i+LfCWn+NNHbT9QWRQHW aC5t38ue1mXlJonHKOp5B+oOQSD5F1L4keXdPc2qK4z+y/HWlW+LXXtI1zy5tyx6pp7280sRkyVa eF9isEJAYQYJAyvJq1/wn1tpf7vxFa3Hh6Vfv3Fyhexx03i6UeWqs2QolMbn5copZQVy9tRcvbU6 miuW/wCFn+FpuLLWbfWJRyYNGDahMq/3jHAHYL0G4jAJAzkjJ/wszw9Dze3dxo8R4E+s2M+nws39 0SToilup2g5IBOMA4OSXYOWXY6miiipJCiiigAooooAKKKKACuRe0g0z4p20lrDHBJq+lXEl86KA bh7eW2WFmPqq3Eoz3BAOdq466uW8Y/8AEr1Tw9ri8fZ7xbC4K8s8F0yxBFB4/wBf9lcnghY2wTkq 1R3sVHex1NFFFSSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAE/wZ/wCRIk/7DGr/APpy ua7muG+DP/IkSf8AYY1f/wBOVzXc19HD4Ue9H4UFFFFUUFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFAHA+OPisvhrxLbeGNJ0mXXvE1xai/8AspmW2t4LbzliMssrZIGS2FjSRjsPyjINcz4r 8Ra34x0PUvDut+C50iuo4mtdQ0LXU2Qzq5ZHeSRIpIjG6RPuSOX/AHWxtMn7TGlWw8GQ6/Drl34f 8TaY5TRpbIs73k8hUiyMI/1wlaJPlwcbAxyquD0FcOIrTpNWtZnHXqzptW2KHh+HULbQdNi1aeO6 1WO2iW7niGEkmCAOy8Dgtkjgdegq/RRXkPU8t6hRRRQAVFd2kF/azW1zDHcW0yNHLDKoZJEIwVYH ggg4INS0UAcjafDwaNaw2eieIdb0TT4UVEtIporpFwMDa1zHK6gAABVYKMcKCSSeBfF41NZdB1S5 j/4SvSUSHUIGkiDzuIoma5jRDnynMgIJVeuCqkYrrqxfFvhLT/Gmjtp+oLIoDrNBc27+XPazLyk0 TjlHU8g/UHIJBtSvpIvmv8RzmuaHbeO/iJDZ6jY2+paFoVm0kkVw5khkvZyAitFjYWjhRm+YkgXS EKMg1fXw34h0O6kbRddjudMCKU0vWo5Llw4LFgt35nmKHyOZBLtx8oxhK4j4V6h4r0LTv7I07wz9 t8K6f50Nvc3kttZXatFcSJLDsieRJpMjAkPkq7KxZvm3HvPD/wASdD8QX0GnCW40zWJYUnGlatbS Wl0VYMflSQDzMbHyYywG084wa0kpR0WqX9fIuSa0WyD+2fFtr+9uvDNhcQL96PS9XMtwew2rNDCh 5xnMi8Zxk4BP+Ez1CP57jwbr1vAvMk26zl2L3bZHcM7YHO1FZj0AJwK6misrrsZ3XYy9D8T6Z4i8 5bG53z2+3z7WaNobiDdnb5kLgOm4AkblGRyMjmtSsvXPC2k+JPJOp6fb3ctvuNvO6DzrdjjLRSD5 o24UhkIIKgg5ArK/4QP7J/yC/EWvaXu/1n+m/bfM9P8Aj7Wbbjn7m3Oec4GC0WGjOprlvin83w18 URDmW4024t4Yx96SWSMpHGo7szsqqo5JYAcmjz/Enhz95ePb+IdMT78ltbtDfRRjjeY1LLcMc5YI Ij8rbEcsqCKFNQ8W+INJv5dOk0zRdNeS6ga7bZdXE7RtEjeUAdkXlzSnDlZN+0FECnc0rO40rO51 1FFFQQFFFFABRWBqniC5lvpdL0W2+13yYWe7kx9lsWYBh5vzBnbadwjTJOU3GNZFeqC/C3w9d3Ul 7rVlH4n1OVFje+1qKOd9iliqqm0RxgbjxGi56tk5NUkupVu511Fct/wqvwV/0KGg/wDgsg/+Jo/4 VX4K/wChQ0H/AMFkH/xNFo9/6+8LR7nU0Vy3/Cq/BX/QoaD/AOCyD/4mj/hVfgr/AKFDQf8AwWQf /E0Wj3/r7wtHudTRXLf8Kr8Ff9ChoP8A4LIP/iaP+FV+Cv8AoUNB/wDBZB/8TRaPf+vvC0e51NFc jd/CLwRe2s1vJ4R0RY5UaNjFYRRuARg7WVQyn0III7GiH4VeG7eSeeK2u4r6dw8uopqVyLyTCqux rjzPNKYVfkLbcqDjIBotHv8Ah/wQtHuddRXLf8K70+P57fUdet515jm/t28l2N2bZJKyNg87XVlP QgjIo/4Q/Vv+h417/vxp/wD8i0WXcLLudTRXLf8ACH6t/wBDxr3/AH40/wD+RaP+Eb8Q2Xz2Xi+4 upT8pTWbCCeEL6hYFgYN05LkYJ+Ukggsu4WXc6miuRh8K+JLmSea/wDG13FI7gpDpOn20EEaBVGA JkmckkMSS/8AFgAYqX/hD9W/6HjXv+/Gn/8AyLRyrv8AmFl3Oporlv8AhD9W/wCh417/AL8af/8A ItH/AAh+rf8AQ8a9/wB+NP8A/kWiy7hZdzqaK4zwvp66J4817ToLq/ms102wuFivr+e72SPLdqxU yuxXIjTIBx8ors6TVmJqzCiiikIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKAJ/gz/wAiRJ/2GNX/APTlc13NcN8Gf+RIk/7DGr/+nK5rua+jh8KPej8KCiiiqKCiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACqes6xaeH9HvtUv5fs9hYwSXNxLtLbI0UszYAJOACcAE1crxP4 teM/DXxCY+CNN+0eIdVs9asf7QtrSKRrS2RJlklF1JxCy+XHKvlsWJkwNu5flmUlFXYpPlV2QanJ /wALP+KemeIEt7+x0TwtBJHYPeWL2sl7c3CYnbbLh/KRBGBlFy7PhiF57OiivBq1HVlzM8SpUdSX MwooorIzCiiigAooooAKKKKAOR+G9ymq6fqmsWokj0jVb97zT4pY2iIhMcal9hA2iWRJZh/eEwY4 ZiBv69oOn+J9HutK1W0jvdPuk8uWCUcMOv1BBAIIwQQCCCBXLaLosGheOmg8PNJFpCWxi1HS4iFs bOXh4miXGElYMS0SYBVxI+1tnm9xVy0d0XLR3Rw9tr2q+BZDb+K7qO/0iW5dbbxETHCIIypZVvR8 iIc/u1kQFXJUEIxG7s7S7gv7WG5tpo7i2mRZIpomDJIhGQykcEEHIIqWubu/hr4Rv7qa5ufCuiXF zM7SSzS6dCzyOTksxK5JJOSTSunuK6e50lFct/wqvwV/0KGg/wDgsg/+Jo/4VX4K/wChQ0H/AMFk H/xNFo9/6+8LR7nU0Vw6fCez0+TTm0XXvEWgx2KGOO3ttTeeBk2hVUxXPmphR90ADGfYYtQ6B4ws JJ0t/Ftpe2zuGjbVtHEs8Y2qCpaCWFCMgkfID82MnFOy6Mdl0Z11Fct/Z3jX/oYNB/8ABHP/APJl VdLsviFNYxPqOseGbW8OfMhtdKuJ415OMO1yhPGD90YJI5xkrlXcXKu52dee6xJrvjLx1d+Gt8mg aBpiW97cXdndFbvUkk3eXGjLgwIHilDkHewQAbQxNX/M+IX2f7N9n8M+f523+0/PuNvleZ977Lsz u8v+Hz8bv4sVLovhLWLfxk3iDU9YtLqRrA2DW9hZS2ySASB42cNcSKSmZQCFB/etz0FUko3dyl7u p0ml6VZaJYxWWnWdvYWcWfLt7WJY40ySThVAAyST9SatUUVnuZhRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUActp3/JT/EH/AGB9N/8AR99XU1i614K8PeI7pbnVtB0zVLlEEazXtnHM6oCS FBZScZJOPc1xHxM+GfhiDwbdw6d4Z0GxvL6a206O7GlxFrf7RPHAZF2hTuUSFl5HIFaJKTWpokpN HqNFFFZmYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAT/AAZ/5EiT/sMa v/6crmu5rhvgz/yJEn/YY1f/ANOVzXc19HD4Ue9H4UFFFFUUFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAcp8VPC+p+Nvh14g0HR9Qi0vUNRtHt47iaPemG4dGGDgOu5CwBK7twBIArhfBPiCDUbe+ 0lrO30fVNDnawutJgZitsqkiFk3IhMTxhXRgoBU4HQ49lrxT47+G7fwVI3xR0WK3t9ftPIsb+GUp FDqdtLNFFslkYgROhKMs2eAm1gy4C81el7WOm6OetT9pHzR1dFFFeGeOFFFFABRRRQAUUUUAFc38 QLue08OKIJpIDcX9jaO8TFH8qa7hikCsOVJR2AZSCM5BBANdJWB4x1fw3aaXLp3iXU7Cws9Shlt2 ivrtbfz4yu2QKSwPRhkg5GR0qo7oqO6NXS9KstEsYrLTrO3sLOLPl29rEscaZJJwqgAZJJ+pNWq5 b4eeJZPFGizXBa4ubWKYR2mo3Fq9s1/CY43Wby2Vf75QsoCsULKFDBV6mlJNOzE009QooopCCiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArF8YeHX8U+ H7jT4r2TTbkvFPb3kSLIYZopFljfawwwDopKnqMjIzmtqihOzuhp21MDwRrF7regGfUTbveRXl5a SPaxNHG/k3MsIYKzMVyIwcbjyTzW/XLfDj/kXrv/ALDGq/8ApwuK6mqlpJjluwoooqSQooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigCf4M/8iRJ/wBhjV//AE5XNdzXDfBn/kSJP+wx q/8A6crmu5r6OHwo96PwoKKKKooKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKp6zpFp4h0e+0 u/i+0WF9BJbXEW4rvjdSrLkEEZBIyCDVyigDxNvCXiD4T6ZcQwX3hufwfaEm0uNb1KfT5LGN5n2Q PIyziRVVoo0YlDxjaeKsfD3xmnj/AMJ2OtLp93pZuEBa2vImQqSAcoxAEiEEFXXgg9jkDK+JjNqH xPutM8Wwavp3hbVbSDS9Jng1eaGxv58SPPHKkMihHkEojVZAd4gbaTkLXc14+KUIyslqeXiFFSsl qFFFFcRxhRRRQAUUVl+IvEll4XsY7i8f5p5ktba3UqJLmdziOKMMQCzH1IAGSSFBIEr6IaVyp4g1 S5bVLHQrCX7JeX8M1w16VDeRDE0ayFFIIaQmZAoYbRlmO7bseXwz4M0LwZa/Z9D0m00uNkSNzbRB XlCAhd7fecjJ5Yk8nnk1Q8M6Bq51SfW/Edzbzam3mw2lpZZNvYW7shMauVVpWbyo2Z3HUYVVGd3U 1TdtENu2iCiiipJCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKAOM0/wv4o0RLqDTte0hLOW8ubuNLrR5ZJE86d5ipZbpQ2DIRnaOAOKtf2d 41/6GDQf/BHP/wDJldTRVczZXMzlv7O8a/8AQwaD/wCCOf8A+TKP7O8a/wDQwaD/AOCOf/5MrqaK OZ/0g5meca/rnjHw5rmg2d1rGgrZ6tM9ot82kSKsVxt3xRspvQT5gWQAjPzKox84x6FaLOlrCtzJ HLchFEskUZjRnxyVUsxUE9AScep61w/x2WR/hL4jjjgt5/MhSNzdQPNHDG0iK8xVAW/dqWk3AEqU DYOMV2elapba3pdnqNlJ51neQpcQS7Su+N1DKcEAjII4IzVS1imU9YplqiiiszMKKKKACiiuC1xL L4keKIdCeH+0vDumbrnUZIpVNvJeI4WK0kw3z7cSSPEV4KwbuDtZxVykrnU654q0Xwz5P9saxYaV 5+7yvt1ykPmbcbtu4jOMjOPUetS6L4g0vxHatc6TqVpqlsjmNprKdZkVwASpKkjOCDj3FRaH4V0X wz539j6PYaV5+3zfsNqkPmbc7d20DOMnGfU+tYuu+AnuNefX9B1STw/rkqRxXMiQrNb3qI6lRcRH G4hQyh1ZHAcjdgAVSUXoNcr0OuqhrXiDS/Dlqtzq2pWml2zuI1mvZ1hRnIJCgsQM4BOPY1gWng3X EtYVufHmty3IRRLJFa2EaM+OSqm2YqCegJOPU9aLL4aaausXOq6vNJ4n1Ca2WzWfV7a2YwwjzQyJ 5cSABhM4bruGAeBRaK3YWS3Z11FecaLD4p+HPkaJa+H/APhJfDUc032S6s9QVLqzt/vRQvHcMA+0 sY1YSfcQZAIwe48P61B4j0HTdWtlkS2v7aK6iSUAOqOgYBgCRnB5wTSlG2onGxfoooqSQooooAn+ DP8AyJEn/YY1f/05XNdzXDfBn/kSJP8AsMav/wCnK5rua+jh8KPej8KCiiiqKCiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiuG+Nmtar4d+Gerajo1/LpV7btbs2oRWYuzawG4jE8vlEHcEiMjEY 6KTxjIAOB8V6vafFz4m2Wn2s1xe+GvCU8lxd7bUwRrrMUmyOMysQ0mxTIxVFCglCzOHCr29c14M0 zTl/tLXbPWP+EkuNamWafWGNuzT+WiwqgaBEQqgjIAA4JfuTXS14Vep7Sd+h41aftJ3CiiiucwCi iigArL8ReGNM8WWMdpqlt9oiimS4iZZGjkhlQ5WSORCGRh/eUg4JHQmtSsDxzqlzo/hua5tZfs7C a3jludoP2aF5kSab5gVHlxs77mBUbMsCoIpxvdWGr30Mb4eTG11jxNpMV3Jqlja3KyRXzajLeBHb cj2pMhZkeLylLIZG5l3YQOEXuKoaDoOn+GNHtdK0q0jstPtU8uKCIcKOv1JJJJJySSSSSTV+nJ3d xyd3cKKKKkkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigCK7adLWZraOOW5CMYo5ZDGjPjgMwVioJ6kA49D0rzj4GXel6Z4Z Xw4JpLTxJZvJJqmk3bKksE7MGkaKJfkW3JdShiATDg/eLV6ZWXrnhXRfE3k/2xo9hqvkbvK+3WqT eXuxu27gcZwM49B6VakrNMtPSzDxB4lsPDMNtJfNcf6VN9nhjtbWW5kkk2M+AkSs33Uc5xjCmsC5 +Ilzdfak0Pwnr2sSwwh1ea2GnwtId21C10Y2P3eSiMAGHU8Vs6L4K8PeHLprnSdB0zS7l0MbTWVn HC7ISCVJVQcZAOPYVtUrxXS4rpHIw6v43lknVvDGiRCNwqu+uy4lG1TuXFoTjJK/MAcqeMYJy/Et /wCOdU0290aHQI9Nub5IoIta03UVuIrRJHKTSMH8iQPHHl12BskryMEV6FRTUktbDUrdDkbT4ReC LK1ht4/COiNHEixqZbCKRyAMDczKWY+pJJPc10ml6VZaJYxWWnWdvYWcWfLt7WJY40ySThVAAyST 9SatUVLk3uyXJvdhRRRSEFFFFABXntjoWv8Aw2urO20VLvxP4UKNCNLkmiF3puCzIYZJCgkiwRHs kYsoCFWIBFehUVSlYpOxzfh3xza69rF7o81nd6NrVoizPp2oiMSPC2MTRlHdHTOVJVjtYYODjPSV i+JfB2jeL47ddWsI7qS2cSW9wC0c9u4ZW3RSqQ8Zyi8qRnHNZfwzv9Qk0GfSdXeSfVdDuW0ye6k/ 5egqI8U/33OXhkiZsnO5mGBim0mrobSaujrqKKKggn+DP/IkSf8AYY1f/wBOVzXc1w3wZ/5EiT/s Mav/AOnK5rua+jh8KPej8KCiiiqKCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiud8feKZ/B3 hmTUrayj1C5+02trFbyzmBGee4jgBZwjlQDJk4U9K4S98WfE+Rp7i0tfCUCszJDp80l1IUXysLI1 yAu4iXBMYhXKcbweaznUhD4mZyqRh8TMHwLo9z8OfEmo/D+e9sLrTtOsoL7R2iiEV1JbSSzK/nqM KzoyKpdFG7cGb5nIHd156+mePfGWv+Hrrxna+FVTR743kF5oU11FcopglRovnBJV3aFmG9QREQwc HA9Crxq/I53g9zyq3Lz3iwooornMAooooAK5vXvEEFzJdaJaaVJ4gu3Tyri12AWsauvSeVhsAwyl oxvk2OGEbA10lcPeXL/Cqyvb2UXeqeG5Lma8uGijV59OaWZpJH2qAXtwXZjgNImD99T+7qKuyoq5 1Ph/Tp9H0HTbC5vJNRubW2iglvJc753VApkbJJyxGTknr1NX6itLuC/tYbm2mjuLaZFkimiYMkiE ZDKRwQQcgipaliYUUUUCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvM7 N7r4efEq20s6jHqlj4xv7y9EV0sn2u1kS3RjtkyUeJRGECEIyhkwWCmvTKoa14f0vxHarbatptpq lsjiRYb2BZkVwCAwDAjOCRn3NVF23Ki7bmVd/ErwjYXU1tc+KdEt7mF2jlhl1GFXjcHBVgWyCCME GtXWvEGl+HLVbnVtStNLtncRrNezrCjOQSFBYgZwCcexotvD+l2WjnSbfTbSDSmR4zYxQKsBRs7l 2AbcHJyMc5PrXOaloHhD4d2b6/b+FrGC5tSEhOlaXGbqSSQiNI4giglnZwgGR97kgZppRbsrjSTd kdp8DruC/wDh8tzbTR3FtNquqyRTRMGSRDqNyQykcEEHIIrvq5H4UaBqXhvwFptrrPlrq8zTX17F EoCQz3EzzyRLhmyEaUoDuOdue9ddX0MVZJHuJWVgooopjCiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKAOG+M3/IkR/9hjSP/TlbVBU/xm/5EiP/ALDGkf8ApytqgrysZ8SPNxfxIKKKK884QooooAKK KKACiiigDjIbSTwX4wtIbaXOha9NMv2Ni8jw35Ety8qszHbHIiS7kAwHVCo+dzXZ1ga54fvbnVId U0m+t7LUY4Wti19atdQmIsGO1BIhRtyrkqwDAAMG2xlMvVPEvi3RLGW/u/DekSWdvh7j7Lrp8xIg Rvcedbxx/KuW+Z1GFPNaNc1rFtcx2dFVdKv/AO1dLs737PcWf2mFJvs92myaLcoOx1/hYZwR2INW qzICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqjrWi2niHT2sr1Z WgMkcoMMzwurxusiMroVZSGVSCCOlXqKE7aoadtUcdoniq6+EPiHXG16417VPBd4sNxa3r+ZqA0p 1il+0LKxd7jYwjjYNtKKXI+Xkn3GvJfGXhLT/HXhm/0LVFkaxvECuYn2OpDBlZT6hgpGcjjkEZFd D8Jtd1bVdM1qx1u4+3aho+qy2X24lN1zEyRzwsypGiqwjnRGAXGUJzzXsYat7Rcst0eph6vOuV7o 7miiiu06wooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDhvjN/yJEf8A2GNI/wDTlbVBU/xm/wCR Ij/7DGkf+nK2qCvKxnxI83F/EgooorzzhCiiigAooooAKKKKACsDx5od74l8H6rpenzW8F1dQmIf a0ZoZFJG+J9pDBXXchZTuUOSvIFb9FNOzuNOzuYHhPxfbeKIZ4Sv2PWLHy49S0yQnzLOZkDbCSBv Xk7ZFG1wCVJFb9ZeueFtJ8SeSdT0+3u5bfcbed0HnW7HGWikHzRtwpDIQQVBByBWf4Ku54bW50S+ mkn1DSHFuZp2LSXEBGYJyTy5ZPld8AGWOYDhabSeqG0nqjpKKKKkkKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiisvXPFWi+GfJ/tjWLDSvP3eV9uuUh8zbjdt3EZxkZx6j1oSvsNK+xqUV y3/C1PBX/Q36D/4M4P8A4qsvwrd+NfE3hfR9Y/tnQbb+0LOG78n+xZ38vzED7d32sZxnGcD6VfI9 3oVyvrod7RXLf2d41/6GDQf/AARz/wDyZR/Z3jX/AKGDQf8AwRz/APyZSsu4rLudTXFaPf3fwc8V WqxyxX/hbxNq/lTW0iwRXVpf3MxKyxsApnRiwVkYtIiorKSqladqr+K9E0u81G98SaDDZ2cL3E8v 9g3DbI0UsxwLsk4APAGasfCrw/4g8VeMW8S+KIb6Gx0qPZokUlmdNjkmYzxTztbNNJLny9qoZdvy ysQgJ3V2YaMue8Xp1OrDxlzXi9D2uiiivXPUCiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK4LxP4/1r TfGE+haPoVhqP2ext72W4vtTe1/1sk6KqqtvJnHkEkkj7w4rva8u1j/kr+uf9gLTP/Si/rGtNwpu SMqsnCDkih4p1Txd4x0230250LRNPtvt9ldS3EWszTuqQXUU5CobRAxIjwMsOtdBRRXi1KsqrvI8 idSVTWQUUUVkZhRRRQAUUUUAFFFFABRRRQAVzfijwlPrF1aalpWpyaJrVq6EXKIZIriIE5huItyi VMO+MkFCxZSCTnpKKabWqGnbY5b7b41h/d/2PoN3s+X7R/as8Hm4/i8v7M+zPXbvbGcbmxkn9o+N f+hf0H/weT//ACHXU0U7rsO67HLf2j41/wChf0H/AMHk/wD8h0f2j41/6F/Qf/B5P/8AIddTRRdd guuxy39o+Nf+hf0H/wAHk/8A8h0f2j41/wChf0H/AMHk/wD8h11NFF12C67HLf2j41/6F/Qf/B5P /wDIdH9o+Nf+hf0H/wAHk/8A8h11NFF12C67HLf2j41/6F/Qf/B5P/8AIdH9o+Nf+hf0H/weT/8A yHXU0UXXYLrscP4g8VeLvDmg6lq1z4d0R7awtpbqVItbmLsiIWIUG0AzgcZIruK5b4qf8kw8X/8A YHvP/RD11NDs0nYHa1woooqSQooooAKKKKACiiigAooooAKKwNU8Z2VjfS6daRXGtatFjzNP01Ve SLIDDzWYrHDlcsvmsm4A7dx4qg2kap4xuo7jVTd6HpCIwj0qC6eG7eXK4llnt5cAABwIlLAhgzNu wqUo9yrdzrqK5b/hXGk/8/evf+FFqH/x+j/hXGk/8/evf+FFqH/x+i0e/wDX3haPc6miuW/4VxpP /P3r3/hRah/8fo/4VxpP/P3r3/hRah/8fotHv/X3haPc6miuW/4VxpP/AD969/4UWof/AB+j/hXG k/8AP3r3/hRah/8AH6LR7/194Wj3Oporlv8AhXGk/wDP3r3/AIUWof8Ax+j/AIVxpP8Az969/wCF FqH/AMfotHv/AF94Wj3Oporlv+FcaT/z969/4UWof/H6P+FcaT/z969/4UWof/H6LR7/ANfeFo9z qaK5b/hXGk/8/evf+FFqH/x+j/hXGk/8/evf+FFqH/x+i0e/9feFo9zqaK5b/hXGk/8AP3r3/hRa h/8AH6P+FcaT/wA/evf+FFqH/wAfotHv/X3haPc6miuW/wCFcaT/AM/evf8AhRah/wDH6P8AhXGk /wDP3r3/AIUWof8Ax+i0e/8AX3haPc6miuW/4VxpP/P3r3/hRah/8fo/4VxpP/P3r3/hRah/8fot Hv8A194Wj3Oporlv+FcaT/z969/4UWof/H6P+FcaT/z969/4UWof/H6LR7/194Wj3NrXdds/Dmmv f37yJbI8ceYoXmdnd1RFVEBZiWZQAAetYFz8SrFIx9k0fxFqFy7pGlvFod1CWLMF+/MiRqBnJLOo AB5qVfhtovnQSSSavc+RNHcJHda3ezR+ZG4dCUeYq2GVTggjIFdTT91D91Hnuo3/AMUtQtbOXS9I 8K6PIybp4NTv7i6dSQCF/dxIoK/MDgsD2PHOp4C8EQeHILi/vNM0yDxDeXN3Pc3dkgd2Sa5eVYzM UV3ABQcgfcHHArrqKHO6slYHLSyCiiioICiiigArmPDlhB8M/G2kro1nb6b4b1yaS11G3ikMUEN0 Y1+zTrHgom4xGEhdm954s72CiunrL8U+G7Lxh4d1DRdRj8yzvoWhkwFLLkcOu4EBlOGU4OCAe1a0 qjpyTNac3TkmeqUV5z8LvH97qlzceF/Efn/8JLYB9t29i0Eep28YhBuk27ohlplUorkg8lUzsX0a vfTUldHtJqSugooopjCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAry7WP+Sv65/2AtM/9KL+vUa8w8dWVvH8 W/DV2sES3Uuh6lFJOEAd0S4siilupALuQO29sdTXPiFelIwrq9Nl+iiivCPGCiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAoqhrXiDS/Dlqtzq2pWml2zuI1mvZ1hRnIJCgsQ M4BOPY1i/wDCcy3Xz6b4Y17U4Bw032eOzw393ZdSQueMHcFK84BJBAai2NJsPip/yTDxf/2B7z/0 Q9dTXBeKpfEvjTwvrGj2Phr+y/t1nNaPNrl/FHt8xCgZFt/P3YySQxTtgnJ26n2fxrd/vf7Q0HS9 3/Lp9hnvfL7f67zod2ev+rXGcc43G7aasu2m51NFct/Z3jX/AKGDQf8AwRz/APyZR/whmoSfJceM teuIG4kh22cW9e6747dXXI43IysOoIODU2Xcmy7h9s1Pxh+80m//ALJ0Q8LqEUKyXF333wb8okeQ AHZH8wFioVdkjn9l+KdH+ay1m316IfMbfWYVgmdjxgXEChUUcHBgckgjcAwK9JaWkFhaw21tDHb2 0KLHFDEoVI0AwFUDgAAYAFS0c3YOY5bzPGt9+7+z6DomPm+0efPqO7/Z8vZb4653bzjGNpzkH9je Lbr91deJrC3gb70ml6QYrgdxtaaaZBzjOY24zjBwR1NFHN2DmOW/4QP7X/yFPEWvapt/1f8Apv2L y/X/AI9Fh3Z4+/uxjjGTk/4VX4K/6FDQf/BZB/8AE11NFHNLuHM+5y3/AArbRV4ik1e1iHCQWmt3 sEMa9lSNJgqKOgVQAAAAABR/wrbRW4lk1e6iPDwXet3s8Mi91eN5irqehVgQQSCCDXU0Uc8u4c0u 5V0vSrLRLGKy06zt7Cziz5dvaxLHGmSScKoAGSSfqTVqiip3JCiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOX8Vzan4c1rRfFulWlxqjaU JoL7TLUp5t1ZTBTKIwyndKjxQyKoZd2xlz8wr0fwn4+0Pxu1/HpF48txYSLHd2tzby208BZQyF4p VVwGByGxg4OCcHGBXH+ONMl0u90/xjpFtevrujyReYumBTNe2BlU3NsyNxKDHvZVPIdVKkE89+Hx HJaEtjtoV+W0Hse4UV5vffG+zja5bTvCvirWbe2gE0s8GmfZhzu+REunikkbC5xGrfeUdTiuv8Ke MdH8b6Y9/ot4Lu3inktpQ0bxSQyocPHJG4Dow/usAcEHoQa9RST2Z6SknszZoooqhhRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UVyXiL4j2WiajJp1pp+o6/qUO0z22mRpiAEZ+eWV0iDYKHy9/mYdW27TupNqKuxNpas62ivMn8Ve OrmRbhIPD2nJH105jPdmfHP/AB8/uvK3fd/1Mm3G7587RZi+J2t2a7NR8FXdxOTlW0O/t7iEL6Fr hrdg2c5AQjGPmJJAxVem/tGSrU31PRK5Txh4Aj8W6ppuoprOpaLeWEM9ukunCA745WiZwwmikHWF MEAHr61z914x8Ya0/mabaad4atR91NYhN9cy+u5IZkSLBBxiSXcGBOwgqas0njLUsfbPFqafs+5/ YOlxQb89fM+0m5zjAxt2Yy2d2RtiWIpbN3JlXpbN3OW+KnhrxN4RfQU0vxpr8NrqF19ln1a506xv IbWRiqwxvEkEbASO20S5KqwVSP3gK99XM6j4DttejxrWr69rErOkjvLq09ujOjBo28m3aOFSpVSC qDlQxy2SWf2f4p0T/jy1G38SxN1i1krazI394TQRFSowBsMOcsT5mAFrza0oVH7mn4f18zz6soTf uaHU0Vy3/CUa9dfurXwbf287fdk1S8tYrcdzuaGWZxxnGI25xnAyQf8AFa2/7/8A4kOoeZ/zD/39 r5Gef+Pj975u37v+pj3Z3fLjacOUx5TqaK5b/hZfh+1+TVr3/hHZxwYdcU2eWH3lR5MJLtPBaJnX kHJDKTtaL4g0vxHatc6TqVpqlsjmNprKdZkVwASpKkjOCDj3FJxa3QnFov0UUUhBRRRQAUVl654q 0Xwz5P8AbGsWGlefu8r7dcpD5m3G7buIzjIzj1HrWV/wnkWpfutC02/1md/9XL9mkt7QqeBL9pkU I8eSpzF5jFTuVXANNRb1KUWzqaxda8a+HvDl0ttq2vaZpdy6CRYb28jhdkJIDAMwOMgjPsaof2X4 t1Di616w0yCT5mj0vTy1xD3CrPM7I2DgFjANwzhUJG3a0XQdP8PWrW+nWkdrHI5llKjLzSEAGSRj 8zucDLsSxxyTTsluFktypovjXw94jumttJ17TNUuUQyNDZXkczqgIBYhWJxkgZ9xW1VDWtB0/wAQ 2q2+o2kd1HG4liLDDwyAECSNh8yOMnDqQwzwRWLs8QeGPkt4f+Ek0pOI4fNCahCvZd8jbLjk43O0 bBUyTK5JJZPYLJ7HU0Vy3/CQeJb7/jx8J/ZNn3/7c1KKDdnps+zi4z0Od23GRjdk4PM8a337v7Po OiY+b7R58+o7v9ny9lvjrndvOMY2nOQcocp1NFct/wAI/wCJb7/j+8WfZNn3P7D02KDdnrv+0G4z 0GNu3GTndkYP+EAiuvn1LXNe1OccLN/aUlnhf7uy18lDzk7ipbnBJAABZdwsu5Ld+Jp9UuprDw2L S/uYHaK7vJZSbeycHaUbYCZJQeTCCvA+Z49ybov+Eb8Q3vz3vi+4tZR8oTRrCCCEr6lZ1nYt15Dg YA+UEEnpLS0gsLWG2toY7e2hRY4oYlCpGgGAqgcAADAAqWjmtsF7bHnvjvwlp+i/Drxleqsl5qsm iXscup3r+bcOphYlQx+4hYbvLQLGCTtUV6FVXVdLttb0u8069i86zvIXt54txXfG6lWGQQRkE8g5 rF+Gt3Pf/Drwtc3M0lxczaVaySzSsWeRzCpLMTySSckmm3eI27o6SiiioICiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigArnLnw9rGm6hrOoeGPED6LeavGq3Md1b/AGy2WRU2LcRxFl2TBQi5 3FCEG5GIBHR0VcJyg7xZcZyg7xMIaj458MPdXtprK+MYFhDLpGrQQ200kg3ZEVzCiIm7K8PE4ymN yBiw7XwN8Q9M8eRaglpHcWGpadObe+0u/VUubVuShZVZgVdfmV1ZlYdDkEDHrB0XxLaeE/i1LHqo ktLbxDYWdjp984H2d7qGW6Y27Nn5ZGWdSgIAfawB3AA+hh68pS5JHbQrSlLlkevUUUV6R6AUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBz XxM1i78P/DjxXqlhL9nv7HSbu5t5dobZIkLsrYIIOCAcEEVyXh+x0+005JdNla6t7rFx9skuXunu dygLI0zszSfKFAYsflVQOAAPTL27Sws57mVZWjhjaRlhiaVyAMkKiAsx44VQSegBNeC/Ay4vpPh3 Z292ZLi0spJLTTdRli8k6hYocW9x5WAYwyYAVskhQxJ3Zrz8Ynyp3OLFJ8qZ6BRRRXlHmBRRRQAU UUUAFFFFABXGapqtl4K8bS3uo3lvpuk6vZjzLi6lWCCO6gYAZZiFaSWOUDs220H3gPk7OimnYadj jP8AhZNhr9x/Z/haX+2bx5vs5v4baWbT7ZvL8wvJOg8ttq4+RXyzMqkpkstr/hE9am+eXxrq8crf M6WltZJCrHqEV4HYL6BnYgYyzHk9TRT5rbId7bHLf8INKvyJ4n15IJObmH7RG32hj99t7Rl4tw42 wNGq9UCHmj/hEtR0jnQNeuLZW+/baz5mpwk93BeVZg3CjHm7AM/JuO6upoo5mHMzAt/BGkrY3dte 2/8AbX23YbuXVcXLXBU7lDBhtVQxLCNQqKWYqq5rGsPC3iPwVp+mWXh/U49c0+2RLZrHX2SExwpG VTypoIcgghciRH3AcFSDu7iihSYczOb8HeM08UxzW9xp93o2tWiIb3TbyJgYSzOoKSYCSoTE+10J BA7HiukrkfHdpBoVrd+M7aGNdX0ewmZnKj/SrVR5j27nqASmVYco2DgqXR+uoklugdt0FFFFSSFF FFABRRRQAUUUUAFct8K/+SYeEP8AsD2f/ohK6S7u4LC1mubmaO3toUaSWaVgqRoBksxPAAAySa5v 4V/8kw8If9gez/8ARCVS+FlL4TqaKKKkkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAqhr2g6f4n0e60rVbSO90+6Ty5YJRww6/UEEAgjBBAIIIFX65bxl4r1HSLm10fQtDvNc8Rala 3UtjFAqeRG0Sr807vIgRN0iDOec4HJANQi5SSjuVFOTtHc1/hfreraH4iuvBmr+bqMBjuNT0nV5L h5pJLcTLvt5zI7P5kTTxqr5IZCv3SpB9Srg/hx8KYPA97qWsX9/Jr/ibUXfztTnVlEMBkLrbQIzu YoVJztDHJ5J4UL3lfQQUlFKW57kE1FKW4UUUVZQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXifjj4Oan4U8P31/8ADa71KPUIb1L6y8MCeBdN LO6rMmHUMsRRpX8sSKoY5UKQuPbKKmUVJWaE4qWjPIfCXjXSvGlm8unzlbmA7LvT7geXdWUmWUxz xHmNgyMMHrtOCRzW9Wb8afC1+s2jeMvD2lC/1zRpwt7Hb7vtN3pjBvOgRQyiVgSsiIx4ZDt5O1s3 QfiR4V8TyWsWleItMvbm6TzIrWK6Tz2G3d/q87wQASQQCMHIGDXjV6DpPTY8mtRdN6bHSUUUVynM FFFFABRRRQAUUUUAFFFFABRRRQAUUVzeta7Pd68vhvTHkt9Qe2F3c33klktIC5RSpIKGVyrhFbgb HdgwUI7SuNK5g+IL3VPidpOpaN4fjjsdFuUls7rW9SgdkuIpISN1nGGUyjLj96xVO6eYOncaVYf2 VpdnZfaLi8+zQpD9ou33zS7VA3u38THGSe5Jo0rS7bRNLs9OsovJs7OFLeCLcW2RooVRkkk4AHJO atU3K+i2G3fRbBRRRUkhRRRQAUUUUAFFFFAHLfFT/kmHi/8A7A95/wCiHrqa5b4qf8kw8X/9ge8/ 9EPXU1T+Ff12KfwoKKKKkkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqh8HPDk V1Pq3jC8uJb7Wby4u9KR5o4gLW1tr+5RIoiqKwBwpbczFiqnsKxb8J488ZWfhGx1K8t1smTUNck0 6Romjtwp8q3M6jMbyyGNtoKsYo5TuXI3eu6Ro2n+H9OisNLsbbTbCHPl2tnCsUSZJY4VQAMkknHc mvUwlJpc76npYam0udlyiiivRO4KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACsfxX4O0Txzo8ml6/pdtqtg+T5VzGG2MVK70PVHA ZgGUhhngitiigDxf4e28trpGpRSXt3exxazqUEH22YzPFFHeTRJGHbLsAqDl2ZuTzjAHUVzNlbrb fFXxpFpVnHp+iRtbm8QRKPtGqSRiWWZCHyAYXtgwKjc+WGDvL9NXgVo8tRo8WsuWbQUUUViYhRRR QAUUUUAFFFFABRRRQAVy2p/8Sbx5p+ot+4sb+zbT7q4blWnWVDaIx/gz5l0AeAzOqkljGK6msXxd oM/iPRPsdtdR2VylzbXUU8sJmRXhnjmAZAykgmPBww61UXrqVF66m1RWX4W1z/hJPDun6mYfsstz CrzWpfc1vLjEkLHA+ZHDIwIBBUggEYrUqWraCasFFFFAgooooAKKKKACiiigDlvip/yTDxf/ANge 8/8ARD11Nct8VP8AkmHi/wD7A95/6IetrRfEGl+I7VrnSdStNUtkcxtNZTrMiuACVJUkZwQce4qr e6V9kv0UUVJIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc5411HV0sotJ8N2/2nxJqm +CzJdVS1G357qXcDiKLKk/K2WaNMZcV0dY/wzl0/XPin4w1O0jjuzYWFlpJv1iyI5lluZJ4Fkxgk B7cuqk4OwNyOOihTVSaT2N6MOedmd/4O8KWfgjw3Z6LYPcTW9sGJnvJjLNNI7s8kkjnqzuzMegyx wAMCtmiivdPZCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAK4Pxj8YNO8I+MNP8AC8elatrmuXlq179m0uGMiGAMVDyPLJGi gsGA+Y8jBwWXd3lcT8UPANx4ysNPvdIubew8T6NO11pl3cwiSMsUZJIJeNwikVtrbCCCFYZKAFSv bTcTvbTc4vwppmsXWu6t4p16107TNU1mC3jk07Toz+4WJpiglm3Hz5dkqozhVH7sAAgA11Vcl4Q+ Jmh+LLexh+32llr0ylZ9DmnC3dtOgPmxNEwV8oVcE7RkLnpXW18/UcpSbnueJUcnJuW4UUUVmZhR RRQAUUUUAFFFFABRRRQAUUUUAcPqlpP4S+IC+IIobT+x9aS203UnClJ4p1d1tpsjPmB2mWEgjK/u znarY7iuW+J/7nwDrN6OZdMhGqQqfutLbMLiNW9VLxKGAwSCcEHkdTVN3SZT1SYUUUVJIUUUUAFF FFABRRRQAVgap4A8Ma3fS3uo+G9Iv7yXHmXF1YxSSPgADLMpJwAB9AK36KabWw02tjz3VvBXh7w5 4r8FXOk6Dpml3L6rLG01lZxwuyGwuyVJVQcZAOPYV6FWL4l8NDxGunsuoXel3Nhc/aoLmyERdXMU kRBEiOpBWVu3pVD/AIQ/Vv8AoeNe/wC/Gn//ACLVN81rspvmtdnU0VyPhltSsPGWtaTea1d6zbQ2 FldRPexwK8bySXSuAYo0BBEKdQe/rXXVLVnYlqwUUUUhBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAY Hj7xJ/wh/gnXNaD28ctjZyzQ/ajiNpQp8tDyM7n2rgEEkgDk13/gLwjF4E8H6ZocdxJevaxnzruU sXuZ2YvNM25mILyM7kZON2BwK8zvJ7fxh8SfDnhu2juL9dJvU1fV/s7lIbVEika2WZgwyzT+S6xc kiMsRtGT7ZXr4SHLDmfU9TDQ5Y3fUKKKK7jsCiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKhvb2302znu7ueK1tbeNpZp5n CJGijLMzHgAAEknpiua8f+ML3wlDoyadptvqd5ql+bKOO6u2to0xBNMWLrHIekJGNvVhyK8r0/4X 3F3oNlZa94o8R36yWcUOq2A1q4e1vZRE6SMWY+aEYyNlFZEbam5DtrCpWhS0kY1KsaejHfEbxH4R 8YeCb/T/AATYtd6zcavFeWOoafo0y2o1FblFa8Nz9meJgpVi7gneiuob5s13tFFeTWrOs1pY8yrV dVrQKKKK5zAKKKKACiiigAooooAKKKKACiiigCrqul22t6XeadexedZ3kL288W4rvjdSrDIIIyCe Qc1zfwln1C7+G+gXOp3Ml3c3FsJ0lml82TyXJaFZH2LvcRlFZtoywJ5zmpfip/yTDxf/ANge8/8A RD10lpaQWFrDbW0MdvbQoscUMShUjQDAVQOAABgAVf2S/sktFFFQQFFFFABRRRQAUUUUAFFFFABR RRQBw/w8n1TxHdSeLr+ztNPttY0qwFrbW129w6opnly5MSAHFwowN33TzXcV5x4A8aWWieA/DenX un69DeWem21vPF/wj9+2yRIlVhkQkHBB5BxW9/wsfSf+fTXv/Cd1D/4xWk4tydkaSi29jqaK5b/h Y+k/8+mvf+E7qH/xij/hY+k/8+mvf+E7qH/xip5JdieWXY6muW1PxJrX/CUXOj6PpNhe/ZbOC7lm vtRe2/1rzIqqqwSZx5BJJI+8OKP+Fj6T/wA+mvf+E7qH/wAYqr4X1Fdb8ea9qMFrfw2babYW6y31 hPa75Elu2YKJUUtgSJkgY+YU1Fq7aGotXbRa/tHxr/0L+g/+Dyf/AOQ6P7R8a/8AQv6D/wCDyf8A +Q66milddhXXY5b+0fGv/Qv6D/4PJ/8A5Do/tHxr/wBC/oP/AIPJ/wD5DrqaKLrsF12OW/tHxr/0 L+g/+Dyf/wCQ6q6h4o8UaIlrPqOg6QlnLeW1pI9rrEskiedOkIYK1qobBkBxuHAPNdnXLfElZP8A hGI5I4Li58jUtOuHjtYHmk8uO9gdyEQFmwqscAE4BpxabSsNNN2sdTRXLf8ACx9J/wCfTXv/AAnd Q/8AjFH/AAsfSf8An017/wAJ3UP/AIxS5Jdhcsux1NFct/wsfSf+fTXv/Cd1D/4xR/wsfSf+fTXv /Cd1D/4xRyS7Byy7HU0Vy3/Cx9J/59Ne/wDCd1D/AOMUf8LH0n/n017/AMJ3UP8A4xRyS7Byy7HU 0Vy3/Cx9J/59Ne/8J3UP/jFGnfE/wtqV8bEazb2eoiZbf+z9RDWd0ZGClQIZgjncHXBC4OeM0cku wcsux1NFZeqeKtF0SaWLUdYsLCWKEXEkd1cpGyRFwgkIYjClyF3dMkDrVrS9VstbsYr3Try3v7OX Pl3FrKskb4JBwykg4II+oNKz3FZ7lqiiikIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAK4v4qavew6AmhaHdRw+KNfkXTtMQ+ZuBdgJZh5eWVYoy8hk6LtBOeAdbx5qV3pPgvW7rT 3KamlpKLLaodmuWUrCiqQdzNIUVVwdxIGDnFdJ8MfBPhTRrWXXdCu4vEd7qTyvN4llliubi6BYAp 50YCiNTGqiNAEXyxxkE12Yej7R8z2R1UKXtHzPZHQeFfB2l+DLW6g0qO4Rbuf7TO91dzXUkkmxE3 F5XZvuxoMZwAoraoor2dj1gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDhfjT4bvfE3gK4TSdPj1HXbG5ttQ0yKSON v9IhmR15eSMKCAyswYEI743H5TyWg+K9TuvEFzouv+GrzwzqHlvdWSXEsc6XdqrhC4kiLIrqWXdH uJXehBYHI9nrxT45aKfHnjLwv4cjjvNIexWXVn8RWdwtvcpGUeE29s21mYlmjaXGFVRHkkumOXEU 4zi5S6HPXpxlG76HV0UUV4h44UUUUAFFFFABRRRQAUUUUAFFFFABRRRQBy3xU/5Jh4v/AOwPef8A oh66muW+Kn/JMPF//YHvP/RD11NU/hX9din8KCiiipJCiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK5vxv4GtfHVrpkVzeXdhJpt/FqVvPZGMOs 0YYITvRlI+bOCOwrpKKabTuhptO6OH8M/Bbwf4WuvtsOkR3+qs6TSanqbG6uHmUk+dufO1yxLEoF yfoMF38H9CHiabxHpL3fhzX53Zp7/S5QPPDLhleKRXiIY4Y/JksobOck9xWL4r8VWvhHTYru5jku JJ7mGzt7WBoxLcTSuERE3sqk85OSMBWParU5t7lKUm9zg7y68ffDZtOvNS1OPx9pk1ytnPFFaw6f cQvNLDHE68lJADuULlOZcsSBlPVq8k8XeJ5fFWtaJpj+EvE2nX+maxY3sU91psc9m2ZFSQGWMyp8 sM0r7sjayA7gygH1unPZNrUc9lcKKKKyMwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA OW+J/gz/AIWD4B1nQBL5Mt5CPJkLbVEqMHj3HB+Xeq7sDOM45rpvgFbaCnwp0O78OeG5fCun38Zu zp85ZpA7EguXYlpA2AUduqbOAMAcdrq3vxRsZ/Dnh+1vTYXV02n6vrDxG2htbdZGS5WJpUImkYJL EPLVwrHLMuBn26ysrfTbOC0tIIrW1t41ihghQIkaKMKqqOAAAAAOmK9fCRlGL5j1MNGUYu5NRRRX cdgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQB5b8TPinqPhvxxoPhXTDp+lT6jA90dX1yNmtpAGEa21uiyRmWcuyEr vG1SDhiwAo6doGpzeJ7nxD4g1gatqbQfZLWK2ga2tLOA7GdY4jI5LO6KzOzEnaoGAuK0/j9qUVh4 V0aKTRNE1t7/AFuzsI116JJ4LdpWKecsLMplcAkBUYNhmbO1WrJ8A+DIfAfhuLSorl7tvMeeaUqI 0aV2LP5cS/JCmScRoAo9yST52Lk4q19+hw4mTStffodHRRRXlnmhRRRQAUUUUAFFFFABRRRQAUUU UAFFFFAHLfFT/kmHi/8A7A95/wCiHrqa8zu7/wAXfEn4dTLbaHolnba/pTCKSXWZmeJJ4eCyi0wS A/IB7de9emVclZWZclZWYUUUVBAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFABRVXVNVstEsZb3Uby3sLOLHmXF1KscaZIAyzEAZJA+pFYFx8TvD UM1pFBqX9qS3UL3EMejwS37NEr7GkIgV8Lv+XccAkEDkHDUW9kNJvZHU15x8U9FttN1rw146a++y T6HeRW0i3UhNqbe5kWCViCwEbKsu7zB/dAYMAu00Pxv4o8fapNHo+i3HhLTrSFWluPFOlSma4lZj tWKNZUG1VUlmLk5ZRtHUy6zoPjvxVo9/od/deHbCxu7a5tZ9QtoZ55Jkf5UKwFkEJCFicyS/NjHF axXJLVmkVyvVnoVFRWlpBYWsNtbQx29tCixxQxKFSNAMBVA4AAGABUtYmQUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFZviHXF8PaaLs2txfM08FtHbWuzzJJJpUiRRvZVHzSLyWAAzTSbdkNK 7sjSrk/GOvXb6npHhXQdS0+y8S61P5Mb3Th3s4BFLI9yIesmBCyqDhS5XJxkHR0n4YeK/EujpN4n 8XXeiz3dlEsum+HbWC3+yyMpMoM0nnszAsFDxsgGzI5OR3nhHwF4c8BWZtvD2iWOkRtHHHI1rCqv MEBCGR/vSEZPzMSeSc5Jr0aWEad5nfTwzTvMn8HeFNP8DeFtL0DS4/LsNPgWCPKqGfA5dtoALscs xAGWYnvWxRRXpnoBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB5b+0CJX0TwnGlrbywv4n07zrq4t3l+yKshZ XQqD5bO6pCGIx++KkgNkaVc/+0Fmz1D4d6jPc28mnweIYrc6VcQ5+03EyNHDKj7W2tDukkAO0Nz8 wZUz0FeTjPiR5uK+JBRRRXAcIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBy3wr/5Jh4Q/7A9n/wCi Erqa5b4V/wDJMPCH/YHs/wD0QldTVT+JlS+JhRRRUkhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcP8Q/DNxf6x4Z8QWelx65c6Nctv06QwgyQy bdzxGVcLLG8cTqdycK67vmqLRfFfh7Spr65j8K6voWo3Uzm9SPw5O0ksiuw3PLBG6SZJZgwdgQ+c 8mu9oq+bSzL5tLM5bSvin4O1v7GLLxRpE0t5sEEH2yNZnZ8bV8skMGOQNpGc8YzXU1V1TSrLW7GW y1Gzt7+zlx5lvdRLJG+CCMqwIOCAfqBXBeGZNR+HfijSPBkif2poV9DdS6ZcwJIZtPjifd5NwXdt 0apLFGkgIOQqleQaLKWwWT2PR6KKKggKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsLRPDye OviPFf3drDPo/hWSSJYp5mJbUnjtpYphEBsIjikYK7HcHkbCjaGNT4leJT4W8F6nc29wYdVmia20 xEj82Wa8dSII448EuxfHy4PQk8A16R4H8D6X8PtAj0rSo5Nm9pp7q4fzLi7nbl5pn6vIx5J+gAAA A9DCU7vnfQ7sLTu+d9DoKKKK9U9IKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDyHx74isde+MHhzw3B qgkuNFtLvWLywgCnZKyxwQeY20kfu7i4OwEHlGIwVzvVwfwObTrn4X6Hf6eTLJfxfab65feZbi8P FxJIz/M7GRWG456DHygV3leFiJ882zxq0+ebCiiiucwCiiigAqhrXiDS/Dlqtzq2pWml2zuI1mvZ 1hRnIJCgsQM4BOPY1frmriztf+FyeAb68spbhUi1K0tLiNwBb3ckKOpYbgSDDDdL0YAkZAOCNKUF Umos0px55KLNHQ/FWi+JvO/sfWLDVfI2+b9huUm8vdnbu2k4zg4z6H0rUrzTR9Lb4D3VzY+JLaF9 Pu/Ll/4TW2tZNt3KzhWGoOWkaOXzZSwkd/LYOcFCpWvS6dWm6crDqQdOVgooorIyCisLUH1rUvGG l6Fo97Yad9osbu9luL6ye6/1UlsiqqrNHjPnkkkn7o4rU/4QPxr/ANDVoP8A4T0//wAm10Qw85x5 kdEKE5rmRifEq7nsPh14pubaaS3uYdKupIpomKvG4hYhlI5BBGQRXV/8KZ8Nf89Ne/8ACk1L/wCS KwPEHwp8XeI9B1LSbnxZoiW1/bS2srxeH5g6o6FSVJvSM4PGQa9Yr0cPRdNNTR20KTgnzI4G0+B3 hSwtYba2XW7e2hRY4oYvEWoqkaAYCqBPgAAYAFS/8KZ8Nf8APTXv/Ck1L/5IruaK6uWPY6eVdjhv +FM+Gv8Anpr3/hSal/8AJFH/AApnw1/z017/AMKTUv8A5IruaKOSPYOWPY4iP4M+FA4+0Wl9qcP8 VpqurXd9bSem+GaV43weRuU4IBGCAa5Hwvo2n+H/ABN46sNLsbbTbCHWIvLtbOFYokzp9mxwqgAZ JJOO5Ney14bc+NfD3hz4g+PbbVte0zS7l9VgkWG9vI4XZDp1mAwDMDjIIz7GuXEx/d2SOfER/d2S Oyorlv8Ahangr/ob9B/8GcH/AMVR/wALU8Ff9DfoP/gzg/8Aiq8jkl2PL5ZdjqaK5b/hangr/ob9 B/8ABnB/8VR/wtTwV/0N+g/+DOD/AOKo5Jdg5ZdjqaKwNL8f+GNbvorLTvEmkX95Lny7e1vopJHw CThVYk4AJ+gNb9JprcTTW4UUUUhBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRVXVb/+ytLvL37PcXn2aF5vs9om+aXapOxF/iY4wB3JFG4HLfFLXPEGl6LY2XhaG3k13V7wafbT 3TgR2uY5JHmIIO7akTHHPOOGxtaXwV8K/DngK6ub3TLSR9Vu0C3ep3kzz3Fwc5ZmZicFm+ZtoAJx xwMcl4n1DXvizoehRaH4ZuNKtbqa21ODxFqstq32DYySxzRwK8jOzLuXadn38Hgtj1utZXjG33mr vGNgooorIyCiiigAorF17xdp3hy6tba8+1vc3SSSRQ2VjPdOyIUDsREjEAGRBk4+8Kof8LH0n/n0 17/wndQ/+MVSjJ6pFKLfQ6miuW/4WPpP/Ppr3/hO6h/8Yo/4WPpP/Ppr3/hO6h/8Yo5Jdg5Zdjqa K5b/AIWPpP8Az6a9/wCE7qH/AMYrV8P+JbDxNDcyWLXH+izfZ5o7q1ltpI5NivgpKqt910OcYwwp OLW6Bxa3RqUUUUiQooooAKq6rqltoml3mo3snk2dnC9xPLtLbI0UsxwAScAHgDNWq5G48K23jL4r 2WleII5NR8PPo73lvpv2pkt2uILqEu08KqBMCJYNodio2SZQ7gRrSh7SaiaU4e0kolzwfomveLvi HoPii80fVfC2kaXps/lRXtzFHPfSXPl/u5YI2fEaLGGIcq3mGP5fkNexUUV7sIKEeVHtRioLlQUU UVZQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHivgzwN8QvCXhPSdFex8PaibC2S2+0y63MhcKMD5Vs cAAAADk4AyWOSdn+x/H/AP0A/Df/AIPrj/5Cr1GiuZ4ek3dowdCm9bHl39j+P/8AoB+G/wDwfXH/ AMhUf2P4/wD+gH4b/wDB9cf/ACFXqNFH1al2/MX1en2PLv7H8f8A/QD8N/8Ag+uP/kKj+x/H/wD0 A/Df/g+uP/kKvUaKPq1Lt+YfV6fY8u/sfx//ANAPw3/4Prj/AOQqx/FfgHxp4s0k2lz4f8MGWKRb i0nbX7sNbXCHMcqtHaI6lT3R1JGRkZNe00U1h6Sd0vzGqFNO6X5mB4Z0C4g8CaVoviF4tYuk02Kz 1F5iZ0unEQSUsXGXDHdncOc8jmvLPBVt4r8OeDdB0m58Ba29zYWEFrK8V3pxRnSNVJUm6BxkcZAr 3KirqUo1VaRc6camkjyb+0fEv/Qga9/4Fab/APJdH9o+Jf8AoQNe/wDArTf/AJLr1misPqtMx+rU zy7wlYa9ffEex1S98NX+iWFppN7bNLfT2r75JZrRkVRDNIekLkkgDgeteo0UV0wgoR5UdEIqC5UF FFFWUFFFFABRRRQAUUUUAch8UPGd14L8NxyaZbRXmu6hdR6fptvOshiad8ndIUUkJGiySt0+WMjI JBrlbbxL8SrRLGedvCuqOcfa7GOC5sgMoc+XcGSbOH29YhuGfumtvx/8GdH+JOrRX2salrarb24j tbSz1B4ILW4VmKXkaL/y8LvIDHIxgFTivMbLXta+HXxAuvCnifVtS8YXM1hb31rPpukGRljL3Cyy vDbxZjUMkMeMyZLK2QGZU5qzqpc1M56vtFrA7TxB8VvF3hzQdS1a58J6I9tYW0t1KkXiCYuyIhYh QbIDOBxkivWK8B8TXPinxv4Q8RafpngLXDa6hYXFnaXd29tatJIwljLPDNMkkacIwLLuIY/KMDd7 9ToyqST9oh0nNp85wnxV0zVL0eF7vS9KuNYbTtWNzPbWssKSeWbO5i3DzXRThpU43ZwT6Vg/2j4l /wChA17/AMCtN/8AkuvWaKdShCo7yHOjGo7yPJtJ8QT32sXul3ui3+iX9pBDctFfPA++OVpVRlMM sg6wuCCQeB61s1ieML9tD+KepXc+navPa3OjWEUU9hpN1eIXSe9LqWhjcAgSIcHH3hUP/Cb2n/QK 8Sf+E1qP/wAYry6tGUZtQTsedUpOMmop2Ohornv+E3tP+gV4k/8ACa1H/wCMUf8ACb2n/QK8Sf8A hNaj/wDGKx9lU/lf3GXs5/yv7joaKq6Vqltrel2eo2UnnWd5ClxBLtK743UMpwQCMgjgjNWqz2Mw ooooAKKKKACiiigAooooAKKKKACiiigAooooAK5b4n6Rqev+AdZ07SV8y8uYREYRKsTTRFh5sSuy sqM8e9FYggFgeMZHU0U07O407O5geCPEek+JfDtvPo0f2W1t/wDRWsGiEMllIgCtBJH/AMs2Tgbe mMEZBBO/XBW/w0v9Dvtbu/D3ia40f+0tS/tM2TWkVxa+Ywj80SBh5rbyjn5JEA3jAG3mWw03x74f kRP7V0zxdbOmXbUkOnTxSbYx8rQxujISJDtKBl3KN7Yq3FPZltJ7M7iiub8EeOLPxpp7MiSWOq2y Rf2hpdyjxz2Urxh9jK6qxHJw+MNg46HHSVDTTsyGmnZhXmet6wPizqV14Y0HWLRvDyWyNq+p6bex TSyRTpcx/Z41MUiA5RGZiwIB4HOai1z4hxePvEF14G8Jan5Wox+YNWv0eS3msIop4o5Vh3QsHkZX kVWBAUjdnpXo+laXbaJpdnp1lF5NnZwpbwRbi2yNFCqMkknAA5JzWluTV7l25NXuZ+i+CvD3hy6a 50nQdM0u5dDG01lZxwuyEglSVUHGQDj2FbVFFZNt7kNt7hRRRQIK8zsPElr4K+KHjS38Qa/pmm6f qKWOpWEN3cxwnJiaCU5fBJzbJwCQBt6FjXplFVF2vcpO1zgvCt3418TeF9H1j+2dBtv7Qs4bvyf7 Fnfy/MQPt3faxnGcZwPpV/w94h1mHxNc+H/EFtG9y6SXVjqVlCsNvcQIsAcFDNI6uskxHOAQARXX Vw/irxBpfhz4i+HbnVtStNLtn0rUY1mvZ1hRnM1kQoLEDOATj2NUnzNqxSfM7WO4orlv+FqeCv8A ob9B/wDBnB/8VR/wtTwV/wBDfoP/AIM4P/iqnkl2J5ZdjqaxPhFd/wDCU+M/FOq309sl/o8z6Pa6 Uius9nAWDtNLuA3faPLidSAVCRqFYkyVo6XqtlrdjFe6deW9/Zy58u4tZVkjfBIOGUkHBBH1Brzf xrd6R42Npd+C54tV8b29xbx6drGiZnNgzSbA1zPFHIqQbZJWaOX5XUSADIyOnDPlqbX/AEN8O+We 1z6Sooor2j1wooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorlPixe3Gm/Czxld2k8trdW +jXssM8LlHjdYHKsrDkEEAgjpigDgfhX/wAkw8If9gez/wDRCV1NVdK0u20TS7PTrKLybOzhS3gi 3FtkaKFUZJJOAByTmrVfNyd22eA3d3CiiikIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igDjPHel+GIb7T9W1iK/i1GTdp9vcaO12t1KpBlMR+yne6gRs+DkDBPGTnB8BaD45SzudRGrW+kW epeTc2+i6wlzqs1iphTcpmklikDFs7oyGCkcHk5lsdH0+4+PF7qUBu9RuYrB4rt7u03wafMq2/kx 28zRjYXjnmZkRzneSQK9MrZy5Ukat8qscjofh3xC/iS31nxBqWmXElrbXVnDb6bZSQgpLLEwdmeV 8nbAnygDBZhlsAnrqKKybuZt3CiiikIKKKKACiiigAooooAKKKKAORvPhZ4fv472KVdTFtevNJcW sWs3kcEhlZmk/drKEAYsxIAx8x4q3eeC7aPVdK1fRZf7B1jSoTbWs9pGoie3xxbTRcCSDO07AVKk ZRkPNdHRVqpJO6ZanJO6ZhXvif4jarotvYm00TRL52txc6vp2pPKyKHQzGKCa0K5ZQ4UOx27hknG ap+GfFVz8Hdun+Kdb1HWvC9zPHHZ67qWJZtPkfduS9myCYmfZsk2kKXKuVUIT1NRXdpBf2s1tcwx 3FtMjRywyqGSRCMFWB4IIOCDXSsVUUk2brEzTuzMtP2itNv5oXtvCPi640uZVmi1WLSw0EkBl8sT KofzSpzvCBPM2fNsxXpmjaxaeINHsdUsJftFhfQR3NvLtK743UMrYIBGQQcEA1w1paQWFrDbW0Md vbQoscUMShUjQDAVQOAABgAVyPgGbxd8KPANn4c07wzomswaVHKIZItZmtpLvLu4by3gkVHctkjz SoYnBVcAddLFKd+fQ6qeIUr82h7nRXPeB/G1j490WTULFJbdoLqayubO4aMzW08TlHjkEbuoPAYY Y5VlPQiuhru3OwKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDj/ivquoaN4MefTL2TTr yW/0+1F1EkbvGk15DE5USKy52OwGVPWuW/s7xL/0P+vf+Aum/wDyJW38cbuCw+HzXNzNHb20Oq6V JLNKwVI0Go2xLMTwAAMkmuU/4Wp4K/6G/Qf/AAZwf/FV5+JnUi1yHFiJTi1yllvBsU7GS41rxJPc Od0ko1+9hDserbIpVjTJ52oqqOgAGBWj8MbeTS/HnifTkv8AUruzTTdOuEi1HUZ7zy5HlvVcqZnY rkRpkAgfKKxf+FqeCv8Aob9B/wDBnB/8VWj8KfEGl+I/iL4sudJ1K01S2TStLjaaynWZFcTX5Kkq SM4IOPcVlh5VHU95syoSm5+82esUUUV6p6QUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABXHfGX/AJJB45/7AV9/6TvXY1x3xl/5JB45/wCwFff+k70AUKKKK+aPnwooooAKKKKACiii gDD8RXeqDUvDum6TcWlnc6rftatcXts9wkaLazzkhFkjJJMIH3uMnrWn/wAIH41/6GrQf/Cen/8A k2s/Uf8Akd/AH/YYm/8ATbe16zXq4alCdO8kelQpwlC7R5t/wgfjX/oatB/8J6f/AOTaP+ED8a/9 DVoP/hPT/wDybXpNFdPsKf8AKdHsafY8k8Iale6ppEz6i9vJeW9/e2UklrE0UcnkXUsIYIzMVyIw cbjyTzW3XMaTaeJ/Dx1S0PgrV75W1bULmO5tbmw8uSOa8mlRhvuVYfLIvBUEHNXv7R8S/wDQga9/ 4Fab/wDJdeXOhPmfLHQ86dGfM7LQ2aKxv7R8S/8AQga9/wCBWm//ACXVa48VX+mXUUWq+DvEunRy o7JPHZLfoSpUFT9jeZkJ3ZG4AHa2DxWboVF9kj2NRdDoqK57/hN7T/oFeJP/AAmtR/8AjFH/AAm9 p/0CvEn/AITWo/8Axip9lU/lf3E+zn/K/uOhrL8Va5/wjPhfWNY8n7T/AGfZzXfk79nmeWhfbuwc ZxjOD9Kzv+Em17+x/wC0/wDhXvif7N5H2nZiy8/Zt3Y8n7T5m/H8G3dnjGeK5jw94SvviB8P9Gn1 3xXrd3batYW1xe2UQtYI5g6K7xbo4FkCNkqQHBKkjPNU6ThrPRDdNx1nodH4G8KX/h6Ga81bV7jV dYv4YDfErEkAmRCrNGscUfXIXcwLFY4wThQK6miism7u5m3d3CiiikIKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACuL8ceN47ZH8PaBqFpP41v5EsbKxWQPLBLIP9fIiq5WONCZWLLjanuK7Sud+ BniHR/C2laF4EudBk8J+If7NimaOaKBItUnjiVLiSKSF2WSQbAzBsPtKtjAJHVh6Uakvee34nTQp xqS1Z6F4H8D6X8PtAj0rSo5Nm9pp7q4fzLi7nbl5pn6vIx5J+gAAAA6CiivbPXCiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigArjvjL/ySDxz/ANgK+/8ASd67GigDxb/hangr/ob9B/8ABnB/8VR/wtTwV/0N +g/+DOD/AOKr2mivP+px7nD9Uj3PFv8Ahangr/ob9B/8GcH/AMVR/wALU8Ff9DfoP/gzg/8Aiq9p oo+px7h9Uj3PFv8Ahangr/ob9B/8GcH/AMVR/wALU8Ff9DfoP/gzg/8Aiq9poo+px7h9Uj3PFv8A hangr/ob9B/8GcH/AMVR/wALU8Ff9DfoP/gzg/8Aiq9poo+px7h9Uj3PDbbxr4e8R/EHwFbaTr2m apcpqs8jQ2V5HM6oNOvAWIVicZIGfcV7lRRXXSpqlHlR1U4ezjyoKKKK1NAooooAKKKKACiiigAr wDwB4jXRPAfhvTr3RvEkN5Z6bbW88X/CN6g2yRIlVhkQEHBB5BxXv9FY1aUaqSkZVKaqqzPJNN8X 2GqaomnJDqVpePC9wkWo6XdWe+NGRXKmaNQ2DImQCT8wrbqT4w+Ef+Em8OWtzaaHFrOt6bf2d1Z4 WEXEaJdwSTCKSQqELRxsD8y5wAawtJ8QT32sXul3ui3+iX9pBDctFfPA++OVpVRlMMsg6wuCCQeB 615lfD+y1jsedWo+z1jsbNFFFcZyhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVxHgHUm+Lv jrQfFfhye0u/CXh+e7tZ5LmW4imluZLZMSRQ7Qp2LJs3SHpLLhRhWPZXbTpazNbRxy3IRjFHLIY0 Z8cBmCsVBPUgHHoelVf2fdK1CDwhfa5flR/wlF6Net4ftbXLQQzW0G2NnMafd2EBQCFUKMnGa7sJ BSk5PoduFinJyfQ9Pooor1z0wooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAry7WP8Akr+uf9gLTP8A0ov66/x94pn8HeGZNStr KPULn7Ta2sVvLOYEZ57iOAFnCOVAMmThT0rhNPTWtS8YaprusWVhp32ixtLKK3sb17r/AFUly7Mz NDHjPngAAH7p5rkxUkqbi3qcuIklBrqbtFFFeKeSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF AHm1ha3/AMaPHXiTw8NQ1jRPC1hZTabqdtHHZRyvcMwCMu8SS+VLC8hVtiD92CrEkgfRNecfCWyt 49d+IN2sES3UuswxSThAHdE0+0KKW6kAu5A7b2x1Nej179GKjBWR7dKKjBWCiiitjUKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiisfxD4z8P8AhH7P/buuabov2jd5P9o3ccHm7cbtu8jO Ny5x0yPWgDYorjv+Fy+AP+h58N/+De3/APi6P+Fy+AP+h58N/wDg3t//AIugDsaK47/hcvgD/oef Df8A4N7f/wCLo/4XL4A/6Hnw3/4N7f8A+LoA7GiuO/4XL4A/6Hnw3/4N7f8A+Lo/4XL4A/6Hnw3/ AODe3/8Ai6AOxorjv+Fy+AP+h58N/wDg3t//AIuj/hcvgD/oefDf/g3t/wD4ugDsaK47/hcvgD/o efDf/g3t/wD4uj/hcvgD/oefDf8A4N7f/wCLoA7GiuO/4XL4A/6Hnw3/AODe3/8Ai6P+Fy+AP+h5 8N/+De3/APi6AOxorjv+Fy+AP+h58N/+De3/APi62fD3jPw/4u+0f2Frmm619n2+d/Z13HP5W7O3 dsJxna2M9cH0oA2KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooA4b4zf8iRH/wBhjSP/AE5W1QVP8Zv+RIj/AOwxpH/pytqgrysZ8SPNxfxI KKKK884QooooAKKKKACiiigAooooAKKKKACiiigAooooAT4T/wDIR8ef9h1P/TdZV6DXn3wn/wCQ j48/7Dqf+m6yr0GvoKX8OPoj3KfwR9AooorU0CiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igArzbx5/wAlP8K/9gfVP/R9hXpNebePP+Sn+Ff+wPqn/o+wrCv/AA5GNb+GyzRRRXgnihRRRQAU UUUAFFFFABRRRQAUUUUAFcvLrmg+Evi7omqazf6doyz6HqFsb2+mjgEhFxZMke9iM4zIQue7Ed66 iitaVT2c1I0pz9nJSOh0Dx/4Y8VXj2mi+I9I1i6SMytBYX0U7qgIBYqjEgZYDPuPWt+vK9c8K6L4 m8n+2NHsNV8jd5X261Sby92N23cDjOBnHoPSsrSfAz+F5b9fDWvX/hewvJxcvp2l2tiLdJPLSMsq yW7lciNSRnGcnvXoxxkX8Ssd8cVF7qx7TRXkWg+Or3wb4o1Wy8S6rr2uadJZ2s1lcf2K1xtlL3Am TdZ2wA+VYDh+eeOteo6NrFp4g0ex1Swl+0WF9BHc28u0rvjdQytggEZBBwQDXZCamro64yU1dFyi iirKCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKWtaNZ+I dMn0/UIBcWswG5NxUgghlZWBBVlYBlZSGVgCCCAa8c8MeJ9S082WgeLbC9sPEqSGyN19kkay1CRI jJ50NwsYiw6Iz7DtZSGUqNvPuFeSfGjTdYvtZ0HUrDxh4c0LTtAnS7vrTXI8LGsyzW4uHkEgPRnW OP8Adqzb8ucADnrUlVj5mNWkqkfM26K4r4Z+PJfGsGqxTQPK2nXc1uur29sYrDUUWaVEktmMj7ht jUt8xwW4JFdrXiSi4NxZ48ouLswoooqSQooooAKKKKACiiigAooooAKKKKACiiigBPhP/wAhHx5/ 2HU/9N1lXoNeffCf/kI+PP8AsOp/6brKvQa+gpfw4+iPcp/BH0CiiitTQKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACvNvHn/JT/AAr/ANgfVP8A0fYV6TXk3iDVn8QfFpY7ewuUtfD1nd6f dXspjETzziwnRIwHLnCDJJUDPAJrnru1NmNZ2ps2aKKK8I8UKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACuM0jxHrfwT0kW1xbS+IvBGnWl5MhsYgL3T40kEkUbvPdYljSIyINqhgIkGOa7OuM+M 1xc2vwo8WvaWn22U6bOjReYI9sbIVkfJ/uIWfHU7cDk1vRqSpy93qbUpyhLTqe50UUV7x7QUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABVPWdYtPD+j32qX8v2ewsYJ Lm4l2ltkaKWZsAEnABOACauVzXxMv/7K+HHiu93XKfZtJu5t1lP5E42wucxyYbY/HDYODg4OMUAe Wjx/8TvHWnQan4dXw94e0PVMtbHUYZZ9QtrVlXy7j5XMTSsC0gjI2r8ilmy2LekfC7w3pU8d5Np6 6xq6vHK2sawftl7JKiqqyGaTLAgIuAuACOAKu+ANLudE8B+G9OvYvJvLPTba3ni3BtkiRKrDIJBw QeQcVv14VWvObtfQ8apWnN2voFFFFc5gFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACfCf/kI +PP+w6n/AKbrKvQa8++E/wDyEfHn/YdT/wBN1lXoNfQUv4cfRHuU/gj6BRRRWpoFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABXk2nf8AI7+P/wDsMQ/+m2yr1mvJtO/5Hfx//wBhiH/022Vc eK/hnLif4Zs0UUV4x5IUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVdV0u21vS7zTr2LzrO8 he3ni3Fd8bqVYZBBGQTyDmrVFGwHN6B4s8T+ALCy06/0+11jTW1hbRNSn1yeW8EN1fbIdyyQNuMa zIuDKchOteyV5B42tru40a3eys5dQnttS0+8NtCyK8iQ3kMrhS7KudqNjLD61vf8LYu/+hD8Sf8A f3Tv/kuvYoV1KPvtXPVo1lKPvs9Borz7/hbF3/0IfiT/AL+6d/8AJdH/AAti7/6EPxJ/3907/wCS 66Pa0/5l95v7SH8yPQaK8+/4Wxd/9CH4k/7+6d/8l11/hnX7fxV4b0rWrRJY7XUrSK8hSYAOqSIH UMASAcMM4J+tXGcZfC7lKUZbM0qKKKooKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDy Txv8TNcvvHF34F8MRpompW1r9quta1WBZFELpiN7OHeDMRI2GdsIhjIIYsBWDpnwp06a+1jUPFUd h4y1XULw3A1DUtLtxMkQjjjjiOF2nasY5UKCSTtGTXWfEacWfxM8GSSpKsVzYanZRyiJmTz2a1lW MsBhSY4JmGSM+W2OlXa8rFVJqfLfQ83Ezkpct9AooorzzhCiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAT4T/wDIR8ef9h1P/TdZV6DXn3wn/wCQj48/7Dqf+m6yr0GvoKX8OPoj3KfwR9Ao oorU0CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArybTv+R38f/8AYYh/9NtlXrNeTad/ yO/j/wD7DEP/AKbbKuPFfwzlxP8ADNmiiivGPJCiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigArmtG8L6z4f0ex0uw8da9b2FjBHbW8Xkae2yNFCquTaknAAGSSa6WirhUlD4X YuM5Q+Fm38M9Yu/EHw48Kapfy/aL++0m0ubiXaF3yPCjM2AABkknAAFdLXkXwz+J+jeH/hx4U0u/ ttet7+x0m0triL/hHdQbZIkKKy5EBBwQRkEiuk/4XN4a/wCeevf+E3qX/wAj19Bzx7nt80e53NFc N/wubw1/zz17/wAJvUv/AJHo/wCFzeGv+eevf+E3qX/yPRzx7hzR7nc0Vw3/AAubw1/zz17/AMJv Uv8A5HrQ8O/EvQvFGsDS7F79L8wPcrFfaXdWm+NGRXZTNEgbBkQEAk/MKFJPZjUk9mdTRRRVDCii igAooooAKKKKACiiigAooooAzdf8M6P4qs0tNa0qx1i1SQSrBf2yTorgEBgrggHDEZ9z615sfhJr /g/T9Eg8K+IbnVrawK276Xr0tvDA1ssLooWWG0MgdW8ognOQrA9a9boqJQjNWkiZRjNWkjxjQfHt hqPhmbVtTe30FrKeSy1KC7u4itlcxyeW8TyBtv3sbTxuDKcDcBWxoviDS/Edq1zpOpWmqWyOY2ms p1mRXABKkqSM4IOPcV2F34A8MX+urrVz4b0i41lZElGoy2MTXAdMBG8wruyu1cHPGBjpXnHxa8O2 dr8Q/CN7osk+k+JdVvg+oz2iStHd6fbQSbxOgPlH5pYYhI43r5i7T8uB59TCKKckzhnhlFOSZ01F FFeaeeFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACfCf/AJCPjz/sOp/6brKvQa8++E//ACEf Hn/YdT/03WVeg19BS/hx9Ee5T+CPoFFFFamgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFeTad/yO/j/AP7DEP8A6bbKvWa8m07/AJHfx/8A9hiH/wBNtlXHiv4Zy4n+GbNFFFeMeSFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWdo//JX9D/7A Wp/+lFhWjWdo/wDyV/Q/+wFqf/pRYV04b+Kv66HRh/4iPUaKKK9w9gKKKKACiiigAooooAKKKKAC iiigAooooAK8e+Pj+FjPo893rd5pvjbTY7mXRIdGgF7fOZYZFYfZCrB428s5ZgoBTHmJkmvYa8is YBL8RvH95I8slwL+1slaSVmCQJY28qxqpOFAe4mbgDJkJOaxrT9nBu1zKrPkg3a43wRceJLrw7by eK7SwstYb5pItOkZ4wpAIB3fdYZ2kBnGVyGwcDfoorwW7u54rd2FFFFIQUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAnwn/wCQj48/7Dqf+m6yr0GvPvhP/wAhHx5/2HU/9N1lXoNfQUv4cfRHuU/gj6BR RRWpoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXk2nf8jv4/wD+wxD/AOm2yr1mvJtO /wCR38f/APYYh/8ATbZVx4r+GcuJ/hmzRRRXjHkhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBg/D34e6V4t8P3Oqapc63NeSarqcZaLXr6FAkd9PGiqk cyqoCIoAAHSu18O/DXQvC+sDVLFL978QPbLLfapdXeyN2RnVRNK4XJjQkgA/KKz/AIM/8iRJ/wBh jV//AE5XNdzX0MIpJOx7sIpJOwUUUVoWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcp8WL24034We Mru0nltbq30a9lhnhco8brA5VlYcgggEEdMVzGh+HrPw8l0LQ3LtdzfaJ5ry7lupZJNipkvKzMfl jRQM4AUV6NrOkWniHR77S7+L7RYX0EltcRbiu+N1KsuQQRkEjIINcZe/BLw9dWc8MV54js5JI2Rb iHxHfl4iRgOoeZlyOo3AjjkEcVy16UqqSTsc9ak6tkmJRXO/D7Vr7WfB+nTaqkkerwq9nqCyhM/a oXaGc/ISuPMjcjbxjHTpXRV4rTi2meQ1yuzCiiikIKKKKACiiigAooooAKKKKACiiigAooooAT4T /wDIR8ef9h1P/TdZV6DXn3wn/wCQj48/7Dqf+m6yr0GvoKX8OPoj3KfwR9AooorU0CiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAry6/8JeL7HxZ4lvtLsdEvrDVLyO7ja81Sa3lTbawQlSi2 0g6wkghuhHAr1GionCM1aRMoqatI8u/sfx//ANAPw3/4Prj/AOQqP7H8f/8AQD8N/wDg+uP/AJCr 1Gisfq1Lt+Zj9Xp9jy7+x/H/AP0A/Df/AIPrj/5Co/sfx/8A9APw3/4Prj/5Cr1Gij6tS7fmH1en 2PJHk8a6dePDe+CWvozGrx3GharBOhJLBkcXBt2UjCngMDu6gginf2j4l/6EDXv/AAK03/5Lr1mi peFpPoJ4an2PMPD+tQeI9B03VrZZEtr+2iuoklADqjoGAYAkZwecE1frlvhX/wAkw8If9gez/wDR CV1NeNJWbR5MlZtBRRRSEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAT/Bn/kS JP8AsMav/wCnK5rua4b4M/8AIkSf9hjV/wD05XNdzX0cPhR70fhQUUUVRQUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAeOnw34z8GX9/HbaLa+J9FutVuruKTT7xYL2GOd5JyHim2xttldk3CYEqV OzIIqWw8TzS+IDoupaFqmg6g1qbyFL9YmS4iDhHKSQySJlSyblLBh5inGDmvXa828ef8lP8ACv8A 2B9U/wDR9hXDXoQ5XNbnHWow5XPqWaKKK8g8sKKKKACiiigAooooAKKKKACiiigAooooAT4T/wDI R8ef9h1P/TdZV6DXn3wn/wCQj48/7Dqf+m6yr0GvoKX8OPoj3KfwR9AooorU0CiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA8W+Ff/JMPCH/AGB7P/0QldTXMfDy yt9N0K9tLSCK1tbfWdWihghQIkaLqFwFVVHAAAAAHTFdPXztRWm15nhTVpNBRRRUEBRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAC/BK9t7rwbeRQzxTSW2uatFOkbhjE5v53CsB907 XRsHswPQiu/ryDwL4/8ADHhXXfHNprXiPSNHun1mOVYL++igdkOn2YDBXYEjKkZ9j6V13/C5fAH/ AEPPhv8A8G9v/wDF19FTd4J+R7sHeKZ2NFcd/wALl8Af9Dz4b/8ABvb/APxddXZXtvqVnBd2k8V1 a3EaywzwuHSRGGVZWHBBBBBHXNWWTUUUUAFFFFABRRRQAUUUUAFFFFABRUN7e2+m2c93dzxWtrbx tLNPM4RI0UZZmY8AAAkk9MV5lrXxvj1a0kt/AWm3HifUZfMjh1CSB4dKhZJFjMj3DBRKgJY4g3lh GwGPvUnJRV2JtRV2ep0V4F4s8CXfi621bUPFsv8Awml0sLGw0OFnsNPjZYXQBIzK4ErmR/3zszLu XbtCiuw0b4navY6PY29/4Q8SalfwwRx3F7/xLIvtEgUBpNgvMLuOTtHAzisI4inK+pjGvCV9T02v IrybUPEHxU1i6uJ7ZLDw95mk2ttFbsJX8+CxuXkkkLkHBG0KEHHUmtS7+KevTtBFpngO/WV5MSS6 zqFrbQRoFY53QvO5OQqgBP4skjFZnh201Qal4i1LVre0tLnVb9bpbeyuXuEjRbWCAAu0cZJJhJ+7 xkdaxxFWLg1FmVepFwtFm5RRRXkHlhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACfCf/kI+PP+w6n/ AKbrKvQa8++E/wDyEfHn/YdT/wBN1lXoNfQUv4cfRHuU/gj6BRRRWpoFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB494I/5B2q/9h3V/wD043NdDXPeCP8AkHar /wBh3V//AE43NdDXz1X+JL1Z4dT45eoUUUVmZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAVxEmq+N/hf8NGS01jw/e2vh3SCIY5tFnDzJbw/KGYXmASEGSF79O1dvXLfFT/ AJJh4v8A+wPef+iHralUlB2i9zanOUHaL3PaaKKK989oKKKKACiiigAooooAKKKKAPF/Gdtd/Ezx vqej6o8aeD/D9zDG+lxkk6pdGGK4DXHAHkxiVNsQyGcFmyAq11FY/iXR00L4vwXNncXCR+INMubm +tGk3QtPbNaRRzKp5RjHLsbaQGCJkZGTsV4uKcvaWbPJxDfPZhRRRXIcoUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFACfCf/AJCPjz/sOp/6brKvQa8++E//ACEfHn/YdT/03WVeg19BS/hx 9Ee5T+CPoFFFFamgUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FAHj3gj/AJB2q/8AYd1f/wBONzXQ1z3gj/kHar/2HdX/APTjc10NfPVf4kvVnh1Pjl6hRRRWZmFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXLfFT/kmHi//ALA95/6Ieupr lvip/wAkw8X/APYHvP8A0Q9VD4kVH4ke00UUV9Ge8FFFFABRRRQAUUUUAFFFU9Z0i08Q6PfaXfxf aLC+gktriLcV3xupVlyCCMgkZBBoA8d8PazrHxG1mw8Z30NvpekG0uItI05UL3LW07W7rNPIHKBm 8gMI1X5Q4BZiDXXV5n4A8c2/h/Q/B3hvV9K1vRrhtNtbNbzVNMmtbVrsRBfsokkVcynYxAA2tjAY nivTK8Gs5ubczxark5XkFFFFYGIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACfCf/kI +PP+w6n/AKbrKvQa8++E/wDyEfHn/YdT/wBN1lXoNfQUv4cfRHuU/gj6BRRRWpoFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB494I/5B2q/9h3V/wD043NdDXPe CP8AkHar/wBh3V//AE43NdDXz1X+JL1Z4dT45eoUUUVmZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAVy3xU/wCSYeL/APsD3n/oh66moru0gv7Wa2uYY7i2mRo5YZVDJIhG CrA8EEHBBpxdmmNOzuei0V4Vqvwn8PtBbzaHouiaHq1rd215bX0elRsY3hmSUAhCjENs2nDDhjzX oXw18S6x4gj8Qwa1JYz3Wl6kLNZrC2e3SRDa28wJR5JCCDMR97sOBXuUq8aui3PYpVo1NFudnRRR XQbhRRRQAUUUUAFFFFAGb4k8N6Z4v0K90bWbKLUNMvI/Lnt5Rww6g5HIIIBDDBBAIIIBryPxFofi L4T+F4r+78XWOq6LZXtrbvJqunst19mluo4t0tyJwhZEkyZDGN2zJGSTXt1FZzhGorSRE4RmrNHm ul6rZa3YxXunXlvf2cufLuLWVZI3wSDhlJBwQR9QatVxPwt1xtR0q6t72yutK1prifVbrTbu1nha 2W7up5kXMscfmY+dCyjGUbHGK7avBnHkk4nizjyyaCiiioICiiigAooooAKKKKACiiigAooooAKK KKACiiigBPhP/wAhHx5/2HU/9N1lXoNeffCf/kI+PP8AsOp/6brKvQa+gpfw4+iPcp/BH0CiiitT QKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDx7wR/wAg7Vf+ w7q//pxua6GsSw8H+N9Dk1GC003w/eWs2pX15DNNrE8LlJ7qWZQyC0cAgSAHDHp1q1/Y/j//AKAf hv8A8H1x/wDIVePUw9WU20up5U6FRybSNGis7+x/H/8A0A/Df/g+uP8A5Co/sfx//wBAPw3/AOD6 4/8AkKs/q1Xt+RH1ep2NGis7+x/H/wD0A/Df/g+uP/kKj+x/H/8A0A/Df/g+uP8A5Co+rVe35B9X qdjRorO/sfx//wBAPw3/AOD64/8AkKj+x/H/AP0A/Df/AIPrj/5Co+rVe35B9XqdjRorO/sfx/8A 9APw3/4Prj/5Co/sfx//ANAPw3/4Prj/AOQqPq1Xt+QfV6nY0aKzv7H8f/8AQD8N/wDg+uP/AJCo /sfx/wD9APw3/wCD64/+QqPq1Xt+QfV6nY0aKzv7H8f/APQD8N/+D64/+QqP7H8f/wDQD8N/+D64 /wDkKj6tV7fkH1ep2NGis7+x/H//AEA/Df8A4Prj/wCQqP7H8f8A/QD8N/8Ag+uP/kKj6tV7fkH1 ep2NGis7+x/H/wD0A/Df/g+uP/kKj+x/H/8A0A/Df/g+uP8A5Co+rVe35B9XqdjRorO/sfx//wBA Pw3/AOD64/8AkKj+x/H/AP0A/Df/AIPrj/5Co+rVe35B9XqdjRorO/sfx/8A9APw3/4Prj/5Co/s fx//ANAPw3/4Prj/AOQqPq1Xt+QfV6nY0aKzv7H8f/8AQD8N/wDg+uP/AJCo/sfx/wD9APw3/wCD 64/+QqPq1Xt+QfV6nY0aKzv7H8f/APQD8N/+D64/+QqP7H8f/wDQD8N/+D64/wDkKj6tV7fkH1ep 2IfFGs3Gh6Uk9paxXl1Nd2tnDDNMYULz3EcKlnCuQAZAThT06V0nw18N6x4fj8Qz61HYwXWqakLx YbC5e4SNBa28IBd44ySTCT93uOTXL3/g/wAb65Jp0F3pvh+ztYdSsbyaaHWJ5nCQXUUzBUNogJIj IGWHXrXrdd+Goumm5LX9Dtw9JwV5LUKKKK7TrCiiigAooooAKKKKACiiigDyH4nWQ0v4s+EdZGoH Sra8srmwvWlb9zfOrxm0tvmO1Zd007ptG9grjkZxvVr/ABK8Pah4o8JvY6WLY36XlldxreStFE/k XUUxUuqOVyIyAQp5I4rl/wCx/H//AEA/Df8A4Prj/wCQq83E0JzlzRRwV6MpyvFGjRWd/Y/j/wD6 Afhv/wAH1x/8hUf2P4//AOgH4b/8H1x/8hVy/Vqvb8jm+r1Oxo0Vnf2P4/8A+gH4b/8AB9cf/IVH 9j+P/wDoB+G//B9cf/IVH1ar2/IPq9TsaNFZ39j+P/8AoB+G/wDwfXH/AMhUf2P4/wD+gH4b/wDB 9cf/ACFR9Wq9vyD6vU7GjRWd/Y/j/wD6Afhv/wAH1x/8hUf2P4//AOgH4b/8H1x/8hUfVqvb8g+r 1Oxo0Vnf2P4//wCgH4b/APB9cf8AyFR/Y/j/AP6Afhv/AMH1x/8AIVH1ar2/IPq9TsaNFZWr+CPi LBp0r6X4g8MXl+MeXBeaPc28TcjOZFupCMDJGFOSAOM5Fz/hA/Gv/Q1aD/4T0/8A8m1X1WoV9WqF miq3/CB+Nf8AoatB/wDCen/+TaP+ED8a/wDQ1aD/AOE9P/8AJtH1WoH1aoWaKrf8IH41/wChq0H/ AMJ6f/5No/4QPxr/ANDVoP8A4T0//wAm0fVagfVqhY+E/wDyEfHn/YdT/wBN1lXoNcp4A8H3vhKH WX1HUrfU7zVL8XsklraNbRpiCGEKEaSQ9IQc7urHgV1devBOMEn2PTguWKTCiiirLCiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/2Q== Roger Mills Bureau of Land Management, Oregon State Office GIS Specialist (503) 808-6340 tdd/tty phone (503) 808-6419 P.O. Box 2965 Portland OR 97208 US r2mills@blm.gov 8:00-4:00 None 20220428 ArcGIS Metadata 1.0 Eric Hiebenthal Bureau of Land Management GIS Data Management Specialist 503-808-6340 503-808-6419 P.O Box 2965 Portland OR 97208 US ehiebent@blm.gov contact instructions Contact distributor. Data are only available through the Oregon/Washington State office of the Bureau of Land Management. Arc GIS Feature Class Winzip Winzip Arc GIS, Winzip http://www.blm.gov/or/gis/data.php BLM-STATE Oregon Washington BLM-THEME Geospatial Management Range NONE In Progress Land Use Planning Lands LUP U.S. Department of the Interior, Bureau of Land Management (BLM) BLM OR LUP In Progress Boundary Polygon 2025-02-10 Bureau of Land Management Portland, Oregon LUP_PRGS_POLY: Land Use Progress Boundary Polygon (LUP_PRGS_POLY) describes the planning or project area for the Land Use in Progress (LUP_PRGS) dataset. The LUP_PRGS dataset contains LUPs that are in progress. There should not be more than one LUP in progress in a particular area. When an RMP or RMPA changes from in progress to active, the polygons and arcs are added to LUP_CRNT and removed from LUP_PRGS. Once an LUP becomes active, it must integrate with other active LUPs so that there will continue to be no gaps or overlaps in active LUPs. For a more detailed description of the LUP_PRGS dataset see the Supplemental Information section in this document or follow the link to the Plan Area Boundary Spatial Data Standard below. Data Standard Linkage: http://www.blm.gov/or/datamanagement/files/LUP_Revised_Data_Standard.pdf Data is intended for support of various Land Use Planning (LUP) activities including Resource Management Plans (RMPs), Resource Management Plan Amendments (RMPA), and activity plans. Bureau of Land Management (BLM), Oregon State Office Udom Hong Bureau of Land Management Program analyst Unknown P.O. Box 2965 Portland OR 97208 US uhong@blm.gov boundaries Geospatial In Progress Land Use Planning Lands LUP Management Oregon planningCadastre Range Washington The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM. PUBLIC DATA: None, these data are considered public domain. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification. DATA STEWARD APPROVAL: Leslie Frewing, state data steward for LUP_PRGS_POLY, approved the use of this dataset on July 26, 2019. LUP_PRGS_ARC 2012-12-12 Bureau of Lan Management http://www.blm.gov/or/gis/data.php ESRI Arc Catalog 10.4 publication date 2025-02-10 -125 -116 41.5 49.5 A published revision of the Department Manual’s Part 305: Departmental Science Effects, Chapter 3: Integrity of Scientific and Scholarly Activities (305 DM 3), effective December 16, 2014, is available online at http://elips.doi.gov/ELIPS/DocView.aspx?id=4056. Scholarly information considered in Departmental decision making must be robust, of the highest quality, and the result of as rigorous scientific and scholarly processes as can be achieved. Most importantly, it must be trustworthy. This policy helps us to achieve that standard (http://www.doi.gov/scientificintegrity/index.cfm) -125 -116 49 42 Last metadata review date: 20190809 Non classified None Geometry: Polygons do not cover the landscape nor do they cover all BLM lands continuously. There are potentially more than one in-progress LUP or amendment covering the same area, so there may be overlapping polygons. An individual plan area may consist of multiple unattached polygons. Such plan boundary polygon pieces should be stored as individual records with common attribute values, not as multi-part polygons. Arcs are simple, non-overlapping lines that are split between endpoints as needed. Unknown Unknown Unknown BLM District Offices Various BLM District Offices An empty polygon feature class in the new standard format was created. In progress plan polygon features were selected from the previous standard, PLANDBDY_POLY feature class. These features went through a manual edit review and a review using the LUP_PRGS_TOPO topology layer. The topology review included the relationship of features to the new associated LUP_PRGS_ARC feature class. 2012-12-12 Arthur Miller Bureau of Land Management GIS Analyst (503) 808-6113 P.O.Box 2965 Portland OR 97208 US a1miller@blm.gov Added features for RMPs for Western Oregon. These are based on the January 2013 line work from RAB/DOB, and have a newer and different representation of watershed based linework such as the boundary formed by the crest of the cascades. These new polygons overlap some existing polygons for east of the cascades plans due to the new RAB/DOB representations. Along with 6 new district or resource area plan boundaries for western Oregon, a separate overall plan boundary for the entirety of the RMPs for Western Oregon has been included. The overall plan boundary has a unique LUPA_ID, but is not intended to ever become a "current" plan boundary since the records of decision for the plan will be at the district and resource area unit level. 2013-01-28 Arthur Miller Bureau of Land Management GIS Analyst (503) 808-6113 P.O. Box 2965 Portland OR 97208 US a1miller@blm.gov LUP_PRGS_POLY Feature Class 4 Land Use Progress Boundary Polygon (LUP_PRGS_POLY) describes the planning or project area for the Land Use in Progress (LUP_PRGS) dataset. BLM 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. LUPA_ID LUPA_ID String 10 0 0 LUPA001801 LUPA001801 - Andrews MFP 1982 BLM BLM LUPA001802 LUPA001802 - High Desert MFP 1982 BLM LUPA001803 LUPA001803 - John Day RMP 1985 BLM LUPA001804 LUPA001804 - Two Rivers RMP 1986 BLM LUPA001805 LUPA001805 - Baker RMP 1989 BLM LUPA001806 LUPA001806 - Brothers/LaPine RMP 1989 BLM LUPA001807 LUPA001807 - Spokane RMP 1992 BLM LUPA001808 LUPA001808 - Three Rivers RMP 1992 BLM LUPA001809 LUPA001809 - Coos Bay RMP 1995 BLM LUPA001810 LUPA001810 - Eugene RMP 1995 BLM LUPA001811 LUPA001811 - Klamath Falls RMP 1995 BLM LUPA001812 LUPA001812 - Medford RMP 1995 BLM LUPA001813 LUPA001813 - Roseburg RMP 1995 BLM LUPA001814 LUPA001814 - Salem RMP 1995 BLM LUPA001815 LUPA001815 - Upper Klamath Basin-Wood River Ranch RMP 1995 BLM LUPA001816 LUPA001816 - Lakeview RA RMP 2003 BLM LUPA001817 LUPA001817 - Southeastern Oregon RMP 2003 BLM LUPA001818 LUPA001818 - Steens Mountain CMPA/Andrews Management Unit RMP 2005 BLM LUPA001819 LUPA001819 - Upper Deschutes RMP 2005 BLM LUPA001820 LUPA001820 - John Day RMP BLM LUPA001821 LUPA001821 - Baker RMP LUPA001822 LUPA001822 - Andrews Management Unit RMP 2008 BLM LUPA_ID is a national ten-character identifier that is an arbitrary serial identifier. All OR/WA RMP’s are numbered between LUPA1801 and LUPA2000. These identifiers distinguish a unique occurrence of a BLM Land Use Plan. These numbers are assigned by the State Planning Lead and only apply to RMPs. For RMP’s, LUPA_ID’s can be associated with either completed plans (PLANID) or plans in progress (DRAFT_PLANID). Depending on software settings this value may appear as the ten-character code value or the ten-character code value and the subtype description of the LUP name and the date of the Record of Decision (ROD). For plans in progress the date appears as 20XX. BLM LUP_ID LUP_ID String 10 0 0 A ten-character national identifier for a Land Use Plan. Used for reporting purposes and data transfer to the NOC which is the concatenation of:• Prefix “LUP” for “Land Use Plan”• Administrative State Code (2 characters)• Three-digit unique sequential number (3 characters) BLM PLAN_DATE PLAN_DATE Date 8 0 0 The date the plan was implemented (YYYYMMDD format). BLM NEPA_ID NEPA_ID String 40 0 0 The BLM’s numbering convention for any new document developed to comply with the NEPA. Convention established by Instruction Memorandum 2008-199, Change 1 (12/18/2008). Format: DDC-ADC-AD-CCDC-FIYR-NDSN-TYP DDC: Department Designation Code; three-letter code used to identify the name of the department within the Government (example: DOI = Department of the Interior). ADC: Agency Designation Code; three-letter code used to identify the agency or bureau with the Government (example: BLM = Bureau of Land Management). AD: Administrative Designation Code; two-letter code used to identify the highest administrative unit involved (state, center, office, or Washington Office) at the time the NEPA document is created (example: OR = Oregon). CCDC: Cost Center Designation Code; four-digit code used to identify the secondary administrative unit involved at the time the NEPA document is created. This is compatible with the FBMS (Fiscal and Business Management System) numbering convention and equates to positions five through eight in the FBMS Cost Center code structure (Examples: M050 = Butte Falls (Medford) Field Office; P060 = Deschutes (Prineville) Field Office). FIYR: Project Start Fiscal Year Date; four-digit code that identifies the 12- month period the Federal Government designates for the use of its funds (October through September) at the time the NEPA document is created. NDSN: The NEPA Document Sequence Number; four-digit chronological number identifying each NEPA document assigned within an Administrative Unit or Office Designation and beginning at 001 each fiscal year. TYP: The NEPA Type Code; two or three letter code used to identify the category of document used to comply with the NEPA (CX = Categorical Exclusion, EA = Environmental Assessment, DNA = Determination of NEPA Adequacy, EIS = Environmental Impact State BLM DRAFT_PLANID DRAFT_PLANID String 100 0 0 The name of the Project Plan Area for the plan associated with an activity when in draft stages. The RMPA should consist of the original RMP name plus the word “Amendment.” Once finalized, the final name is added to the PLANID domain and placed in PLANID, the decision date in PLAN_DATE, the NEPA_ID filled in and LUPA_ID filled in (for RMP). BLM PLAN_SUBUNIT PLAN_SUBUNIT String 60 0 0 Unit identifier if the plan/project area is divided into subunits, usually only for activity plans (but not all activity plans are subdivided into subunits). The subunits may not comprise the entire plan area. The subunits may be disjoint and widely separated with no surrounding polygon. The PLAN_SUBUNIT may be a simple number or letter and is only meaningful in context with the PLANID or DRAFT_PLANID (for example, there may be three polygons with PLAN_SUBUNIT’s of “1,” “2,” and “3” and each having the same DRAFT_PLANID of “Chalk Juniper Cut”). The “Geographical Management Units” are examples PLAN_SUBUNITS for LUPs. BLM LUP_CYCLE LUP_CYCLE String 1 0 0 A letter representing an individual planning effort cycle. The LUP Cycle attribute indicates the order of planning efforts (revisions, amendments etc.) that modify a single plan without creating a new planning area. The original plan is designated with cycle ‘A’ and subsequent efforts follow in order alphabetically (B, C, D…). BLM LUP_CYCLE_ID LUP_CYCLE_ID String 12 0 0 A 12-character unique identifier which is the concatenation of:• LUP_ID: LUP-ST-###• LUP_CYCLE: A, B, C… BLM LUP_EFRT_TYPE_CD LUP_EFRT_TYPE_CD String 20 0 0 The code that represents the type of planning effort for the land use plan. BLM LUP_PRRTY_CAT_CD LUP_PRRTY_CAT_CD String 20 0 0 The code that indicates the reason the land use plan is a priority. This priority is defined by the state office. The value “NLCS” should be used to indicate plan priority and/or importance instead of the more generic term “Legislation” when the establishment of a new NLCS unit is driving state-level plan priorities. BLM PLAN_EVAL_DT PLAN_EVAL_DT Date 8 0 0 The original date when the land use plan was to be evaluated. This date should be input as five years from the Record of Decision Date. The default value for this field is 9/9/9999.If only partial dates are available, use the following rules for entering values:• Use the first day of the month when only month and year are available. Example: 5/1/2000.• Use the first day of the year when only the year is available. Example: 1/1/2000. BLM ACTL_EVAL_DT ACTL_EVAL_DT Date 8 0 0 The actual date when the land use plan was evaluated. This date should be input as five years from the Record of Decision Date. The default value for this field is 9/9/9999.If only partial dates are available, use the following rules for entering values:• Use the first day of the month when only month and year are available. Example: 5/1/2000.• Use the first day of the year when only the year is available. Example: 1/1/2000. BLM EVAL_RSLT_NM EVAL_RSLT_NM String 18 0 0 The name of the land use plan evaluation result. When the plan evaluation has multiple evaluation result names, each result name should be captured by entering multiple records in this table. Each record would contain the same planned and actual evaluation dates but would only differ by the result name. The default value for this field is “Not Yet Evaluated.” BLM GLOBALID GLOBALID GlobalID 38 0 0 Global ID BLM Andrews Management Unit RMP 2005 Andrews Management Unit RMP 2005 BLM BLM Baker RMP 1989 Baker RMP 1989 BLM Brothers/LaPine RMP 1989 Brothers/LaPine RMP 1989 BLM Cascade-Siskiyou National Monument RMP - 2008 Cascade-Siskiyou National Monument RMP - 2008 BLM Coos Bay District RMP 1995 Coos Bay District RMP 1995 BLM Coos Bay RMP - 2008 Coos Bay RMP - 2008 BLM Eugene District RMP - 2008 Eugene District RMP - 2008 BLM Eugene District RMP 1995 Eugene District RMP 1995 BLM John Day Resource Area RMP 1985 John Day Resource Area RMP 1985 BLM Klamath Falls Resource Area RMP - 2008 Klamath Falls Resource Area RMP - 2008 BLM Klamath Falls Resource Area RMP 1995 Klamath Falls Resource Area RMP 1995 BLM Lakeview Resource Area RMP 2003 Lakeview Resource Area RMP 2003 BLM Lower Deschutes River Management Plan 1993 Lower Deschutes River Management Plan 1993 BLM Medford District RMP - 2008 Medford District RMP - 2008 BLM Medford District RMP 1995 Medford District RMP 1995 BLM NW Forest Plan 1994 NW Forest Plan 1994 BLM Roseburg District RMP - 2008 Roseburg District RMP - 2008 BLM Roseburg District RMP 1995 Roseburg District RMP 1995 BLM Salem District RMP - 2008 Salem District RMP - 2008 BLM Salem District RMP 1995 Salem District RMP 1995 BLM Southeastern Oregon RMP 2002 Southeastern Oregon RMP 2002 BLM Spokane District RMP 1992 Spokane District RMP 1992 BLM Steens Mountain Cooperative Management and Protection Area RMP 2005 Steens Mountain Cooperative Management and Protection Area RMP 2005 BLM Three Rivers Resource Area RMP 1992 Three Rivers Resource Area RMP 1992 BLM Two Rivers Resource Area RMP 1986 Two Rivers Resource Area RMP 1986 BLM Upper Deschutes Resource Area RMP 2005 Upper Deschutes Resource Area RMP 2005 BLM Upper Klamath Basin-Wood River Ranch RMP Upper Klamath Basin-Wood River Ranch RMP LUP_NAME The official name of the LUP, whether final, in progress, or historic. The PLAN_DATE is filled at the same time along with NEPA_ID and LUPA_ID. The LUP names are a subset of the larger PLANID domain. Final plans should have the year of the ROD at the end of the name. The RMPA should consist of the original RMP name plus the word “Amendment.” BLM LUP_NAME String 100 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. Attributes are provided that give basic information about source, type, and accuracy of the line data. More information may be found in the data standard if available: https://www.blm.gov/or/gis/data.php