Cadastral PLSS Public Land Survey System Cadastral Reference PLSS Sections PLSS Divisions PLSS Special Surveys Parcels PLSS Corners FGDC Data Content Standard First Division Geographic Names Information System (GNIS) United States Oregon Washington V2 None Version 2 Management BLM Geospatial Bureau of Land Management Travis Thomas GCDB Manager Mailing address
P.O Box 2965
Portland OR 97208 USA (503) 808-6164 (503) 808-6190 t2thomas@blm.gov BLM OR Cadastral PLSS First Division Polygon 20160222 Final BLM Cadastral Survey vector digital data http://www.nationalcad.org/ http://www.blm.gov/or/gis/data.php PLSSFirstDivision: This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail. The CadNSDI or the Cadastral Publication Data Standard is the cadastral data component of the NSDI. This is the publication guideline for cadastral data that is intended to provide a common format and structure and content for cadastral information that can be made available across jurisdictional boundaries, providing a consistent and uniform cadastral data to meet business need that includes connections to the source information from the data stewards. The data stewards determine which data are published and should be contacted for any questions on data content or for additional information. The cadastral publication data is data provided by cadastral data producers in a standard form on a regular basis. Cadastral publication data has two primary components, land parcel data and cadastral reference data. It is important to recognize that the publication data are not the same as the operation and maintenance or production data. The production data is structured to optimize maintenance processes, is integrated with internal agency operations and contains much more detail than the publication data. The publication data is a subset of the more complete production data and is reformatted to meet a national standard so data can be integrated across jurisdictional boundaries and be presented in a consistent and standard form nationally. publication date 20160222 Complete Irregular 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. Users assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for 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. Users are 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. Users wishing to modify the data should describe the types of modifications they have performed. Users 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. It is strongly recommended that these data be acquired directly from the U.S. Bureau of Land Management and not indirectly through some other source which may have changed the data. It is strongly recommended that careful attention be paid to the content of the metadata file associated with these data. Users are cautioned that digital enlargement of these data to scales larger than that at which they where originally mapped can cause misinterpretation. Users are further cautioned that these data and interpretations derived from them do not eliminate the need for onsite survey and evaluation of specific sites for intensive uses. The U.S. Bureau of Land Management should be cited as the data source in any products derived from these data. ESRI ArcCatalog 10.2 -125 -116 49.5 41.5 Executive Order 12906 calls for the establishment of the National Spatial Data Infrastructure defined as the technologies, policies, and people necessary to promote sharing of geospatial data throughout all levels of government, the private and non-profit sectors, and the academic community. 19940411 FGDC Cadastral Subcommittee developed the Cadastral Data Content Standard and submitted it for approval to the FGDC. This was completed in 1998. The most recent version of the FGDC Cadastral Data Content Standard is version 1.4. Federal Geographic Data Committee, 2008, Cadastral Data Content Standard for the National Spatial Data Infrastructure, Version 1.4, Subcommittee on Cadastral Data, Reston, Virginia. 2008 In 2003 the Cadastral Subcommittee met in Portland Oregon, hosted by the Forest Service, and defined the polices and needs for establishing a robust Cadastral Publication Data Standard for the NSDI. 2003 In 2007 after a series of workshops and meetings with key business functions a set of core data was documented. This document was published on the Subcommittee's outreach web site (http://www.nationalcad.org) and it described the data and organizational relationships for the maintenance of the data that is the Cadastral NSDI. This document served as a standard for the Cadastral NSDI content. 2007 In 2008 the first draft of the Cadastral Publication Guidelines was published as GIS schema. This document has been revised through the testing efforts from Wildland fire and the western US PLSS data set developed. The final version of the publication guidelines was completed in the Fall of 2009. 2009 The Oregon GCDB Office will need to be contacted for complete data processing details 20100601 BLM Oregon State Office GCDB Manager mailing address
P.O. Box 2965
Portland OR 97208 OR 503-808-6164 503-808-6190 Tim Keck BLM, Oregon State Office GCDB Manager mailing address
P.O Box 2965
Portland OR 97208 US 503 808-6164 503-808-6190 tkeck@blm.gov BLM Oregon GCDB Manager reviewed the spatial and attribute data and found that the data continues to meet the needs of the Bureau of Land Management. 20130610 Tim Keck BLM, Oregon State Office GCDB Manager mailing address
P.O Box 2965
Portland OR 97208 US 503 808-6164 503-808-6190 tkeck@blm.gov Alias Names and attribute definitions Revision. 20130722 Data conforming to the Publication Guideline should follow for the format and structure of the standard for published data. This means that the topological relationships of the PLSS and parcels should be followed. Level 1 conformance to the guideline means that the data follows and conforms to the structure and an active data steward is identified and engaged in data creation and maintenance. Level 2 conformance all attributes that are necessary for essential query, extraction, labeling and use are present. Level 3 conformance all attributes as applicable are populated. The Oregon Data Set is at Level 3 of 3 Conformance and fully complies with the national standard The Subcommittee recognizes that not all data is available in all places, but the data that is available should be provided for publication in the format provided in this guideleines. Exceptions to complete data should be noted by the data steward. The Oregon Data Set contains all of the available GCDB PLSS data. Vector Simple FALSE 0 TRUE FALSE North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 Explicit elevation coordinate included with horizontal coordinates 0.000003 OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 0 0 SHAPE Feature geometry. ESRI Coordinates defining the features. SHAPE Geometry 0 0 0 PLSS_sections_BLM_or The PLSS First Division is commonly the section. This is the first set of divisions for a PLSS Township. Feature Class 0 BLM Township Township Double 8 0 0 Township_char Township_char String 1 0 0 Range Range Double 8 0 0 Range_char Range_char String 1 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. Bureau of Land Management Eric Hiebenthal Mailing address
P.O Box 2965
Portland OR 97208 USA 503-808-6340 503-808-6419 ehiebent@blm.gov GIS Data Management Specialist contact instructions 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. Contact distributor. Data are only available through the Oregon/Washington State office of the Bureau of Land Management. Downloadable Data 20120530 Bureau of Land Management, Oregon State Office Roger Mills GIS Specialist mailing address
P.O. Box 2965
Portland OR 97208 USA (503) 808-6340 tdd/tty phone (503) 808-6419 r2mills@blm.gov 8:00-4:00 None FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 20140715 20240426 12063400 FGDC CSDGM Metadata FALSE 20240426 12031200 FGDC 1.0 20240426 12031200 002 PLSS_sections_BLM_or 222014.568241 2345054.874016 88499.284777 1657650.644685 1 Projected GCS_North_American_1983 Linear Unit: Foot (0.304800) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>PROJCS[&quot;NAD_1983_Oregon_Statewide_Lambert_Feet_Intl&quot;,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]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1312335.958005249],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-120.5],PARAMETER[&quot;Standard_Parallel_1&quot;,43.0],PARAMETER[&quot;Standard_Parallel_2&quot;,45.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,41.75],UNIT[&quot;Foot&quot;,0.3048],AUTHORITY[&quot;EPSG&quot;,2992]]</WKT><XOrigin>-118489100</XOrigin><YOrigin>-97381100</YOrigin><XYScale>3048</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808398950131233</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2992</WKID><LatestWKID>2992</LatestWKID></ProjectedCoordinateSystem> NAD_1983_Oregon_Statewide_Lambert_Feet_Intl original metadata PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YSB4bWw6bGFu Zz0iZW4iPg0KICA8aWRpbmZvIHhtbG5zOnhzaT0iaHR0cDovL3d3dy53My5vcmcvMjAwMS9YTUxT Y2hlbWEtaW5zdGFuY2UiIHhtbG5zOnhzPSJodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hNTFNjaGVt YSI+DQogICAgPGtleXdvcmRzPg0KICAgICAgPHRoZW1lPg0KICAgICAgICA8dGhlbWVrdD5JT1Mg MTkxMTUgVG9waWMgQ2F0ZWdvcnkgPC90aGVtZWt0Pg0KICAgICAgICA8dGhlbWVrZXk+cGxhbm5p bmdDYWRhc3RyZTwvdGhlbWVrZXk+DQogICAgICA8L3RoZW1lPg0KICAgICAgPHRoZW1lPg0KICAg ICAgICA8dGhlbWVrZXk+Q2FkYXN0cmFsPC90aGVtZWtleT4NCiAgICAgICAgPHRoZW1la2V5PlBM U1M8L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVrZXk+UHVibGljIExhbmQgU3VydmV5IFN5c3Rl bTwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5DYWRhc3RyYWwgUmVmZXJlbmNlPC90aGVt ZWtleT4NCiAgICAgICAgPHRoZW1la2V5PlBMU1MgU2VjdGlvbnM8L3RoZW1la2V5Pg0KICAgICAg ICA8dGhlbWVrZXk+UExTUyBEaXZpc2lvbnM8L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVrZXk+ UExTUyBTcGVjaWFsIFN1cnZleXM8L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVrZXk+UGFyY2Vs czwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5QTFNTIENvcm5lcnM8L3RoZW1la2V5Pg0K ICAgICAgICA8dGhlbWVrdD5GR0RDIERhdGEgQ29udGVudCBTdGFuZGFyZDwvdGhlbWVrdD4NCiAg ICAgIDwvdGhlbWU+DQogICAgICA8cGxhY2U+DQogICAgICAgIDxwbGFjZWt0Pkdlb2dyYXBoaWMg TmFtZXMgSW5mb3JtYXRpb24gU3lzdGVtIChHTklTKSA8L3BsYWNla3Q+DQogICAgICAgIDxwbGFj ZWtleT5Vbml0ZWQgU3RhdGVzPC9wbGFjZWtleT4NCiAgICAgICAgPHBsYWNla2V5Pk9yZWdvbjwv cGxhY2VrZXk+DQogICAgICA8L3BsYWNlPg0KICAgIDwva2V5d29yZHM+DQogICAgPHB0Y29udGFj Pg0KICAgICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0KICAgICAgICAgIDxjbnRvcmc+ QkxNIE9yZWdvbiBTdGF0ZSBPZmZpY2U8L2NudG9yZz4NCiAgICAgICAgPC9jbnRvcmdwPg0KICAg ICAgICA8Y250YWRkcj4NCiAgICAgICAgICA8YWRkcnR5cGU+bWFpbGluZyBhZGRyZXNzPC9hZGRy dHlwZT4NCiAgICAgICAgICA8YWRkcmVzcz5QLk8uIEJveCAyOTY1PC9hZGRyZXNzPg0KICAgICAg ICAgIDxjaXR5PlBvcnRsYW5kPC9jaXR5Pg0KICAgICAgICAgIDxzdGF0ZT5PcmVnb248L3N0YXRl Pg0KICAgICAgICAgIDxwb3N0YWw+OTcyMDg8L3Bvc3RhbD4NCiAgICAgICAgPC9jbnRhZGRyPg0K ICAgICAgICA8Y250dm9pY2U+NTAzLTgwOC02MTY0PC9jbnR2b2ljZT4NCiAgICAgICAgPGNudHBv cz5HQ0RCIE1hbmFnZXI8L2NudHBvcz4NCiAgICAgICAgPGNudGZheD41MDMtODA4LTYxOTA8L2Nu dGZheD4NCiAgICAgIDwvY250aW5mbz4NCiAgICA8L3B0Y29udGFjPg0KICAgIDxjaXRhdGlvbj4N CiAgICAgIDxjaXRlaW5mbz4NCiAgICAgICAgPHRpdGxlPlBMU1NGaXJzdERpdmlzaW9uPC90aXRs ZT4NCiAgICAgICAgPHB1YmRhdGU+MjAxMjwvcHViZGF0ZT4NCiAgICAgICAgPGVkaXRpb24+Rmlu YWw8L2VkaXRpb24+DQogICAgICAgIDxvcmlnaW4+QkxNIENhZGFzdHJhbCBTdXJ2ZXk8L29yaWdp bj4NCiAgICAgICAgPGdlb2Zvcm0+dmVjdG9yIGRpZ2l0YWwgZGF0YTwvZ2VvZm9ybT4NCiAgICAg ICAgPG9ubGluaz5odHRwOi8vd3d3Lm5hdGlvbmFsY2FkLm9yZy88L29ubGluaz4NCiAgICAgIDwv Y2l0ZWluZm8+DQogICAgPC9jaXRhdGlvbj4NCiAgICA8ZGVzY3JpcHQ+DQogICAgICA8YWJzdHJh Y3Q+VGhpcyBkYXRhc2V0IHJlcHJlc2VudHMgdGhlIEdJUyBWZXJzaW9uIG9mIHRoZSBQdWJsaWMg TGFuZCBTdXJ2ZXkgU3lzdGVtIGluY2x1ZGluZyBib3RoIHJlY3Rhbmd1bGFyIGFuZCBub24tcmVj dGFuZ3VsYXIgc3VydmV5cy4gIFRoZSBwcmltYXJ5IHNvdXJjZSBmb3IgdGhlIGRhdGEgaXMgY2Fk YXN0cmFsIHN1cnZleSByZWNvcmRzIGhvdXNlZCBieSB0aGUgQkxNIHN1cHBsZW1lbnRlZCB3aXRo IGxvY2FsIHJlY29yZHMgYW5kIGdlb2dyYXBoaWMgY29udHJvbCBjb29yZGluYXRlcyBmcm9tIHN0 YXRlcywgY291bnRpZXMgYXMgd2VsbCBhcyBvdGhlciBmZWRlcmFsIGFnZW5jaWVzIHN1Y2ggYXMg dGhlIFVTR1MgYW5kIFVTRlMuICBUaGUgZGF0YSBoYXMgYmVlbiBjb252ZXJ0ZWQgZnJvbSBzb3Vy Y2UgZG9jdW1lbnRzIHRvIGRpZ2l0YWwgZm9ybSBhbmQgdHJhbnNmZXJyZWQgaW50byBhIEdJUyBm b3JtYXQgdGhhdCBpcyBjb21wbGlhbnQgd2l0aCBGR0RDIENhZGFzdHJhbCBEYXRhIENvbnRlbnQg U3RhbmRhcmRzIGFuZCBHdWlkZWxpbmVzIGZvciBwdWJsaWNhdGlvbi4gIFRoaXMgZGF0YSBpcyBv cHRpbWl6ZWQgZm9yIGRhdGEgcHVibGljYXRpb24gYW5kIHNoYXJpbmcgcmF0aGVyIHRoYW4gZm9y IHNwZWNpZmljICJwcm9kdWN0aW9uIiBvciBvcGVyYXRpb24gYW5kIG1haW50ZW5hbmNlLiAgVGhp cyBkYXRhIHNldCBpbmNsdWRlcyB0aGUgZm9sbG93aW5nOg0KUExTUyBGdWxseSBJbnRlcnNlY3Rl ZCAoYWxsIG9mIHRoZSBQTFNTIGZlYXR1cmUgYXQgdGhlIGF0b21pYyBvciBzbWFsbGVzdCBwb2x5 Z29uIGxldmVsKSwgUExTUyBUb3duc2hpcHMsIEZpcnN0IERpdmlzaW9ucyBhbmQgU2Vjb25kIERp dmlzaW9ucyAodGhlIGhpZXJhcmNoaWNhbCBicmVhayBkb3duIG9mIHRoZSBQTFNTIFJlY3Rhbmd1 bGFyIHN1cnZleXMpIFBMU1MgU3BlY2lhbCBzdXJ2ZXlzIChub24gcmVjdGFuZ3VsYXIgY29tcG9u ZW50cyBvZiB0aGUgUExTUykgTWVhbmRlcmVkIFdhdGVyLCBDb3JuZXJzIGFuZCBDb25mbGljdGVk IEFyZWFzIChrbm93biBhcmVhcyBvZiBnYXBzIG9yIG92ZXJsYXBzIGJldHdlZW4gVG93bnNoaXBz IG9yIHN0YXRlIGJvdW5kYXJpZXMpLiAgVGhlIEVudGl0eS1BdHRyaWJ1dGUgc2VjdGlvbiBvZiB0 aGlzIG1ldGFkYXRhIGRlc2NyaWJlcyB0aGVzZSBjb21wb25lbnRzIGluIGdyZWF0ZXIgZGV0YWls LjwvYWJzdHJhY3Q+DQogICAgICA8cHVycG9zZT5UaGUgQ2FkTlNESSBvciB0aGUgQ2FkYXN0cmFs IFB1YmxpY2F0aW9uIERhdGEgU3RhbmRhcmQgaXMgdGhlIGNhZGFzdHJhbCBkYXRhIGNvbXBvbmVu dCBvZiB0aGUgTlNESS4gIFRoaXMgaXMgdGhlIHB1YmxpY2F0aW9uIGd1aWRlbGluZSBmb3IgY2Fk YXN0cmFsIGRhdGEgdGhhdCBpcyBpbnRlbmRlZCB0byBwcm92aWRlIGEgY29tbW9uIGZvcm1hdCBh bmQgc3RydWN0dXJlIGFuZCBjb250ZW50IGZvciBjYWRhc3RyYWwgaW5mb3JtYXRpb24gdGhhdCBj YW4gYmUgbWFkZSBhdmFpbGFibGUgYWNyb3NzIGp1cmlzZGljdGlvbmFsIGJvdW5kYXJpZXMsIHBy b3ZpZGluZyBhIGNvbnNpc3RlbnQgYW5kIHVuaWZvcm0gY2FkYXN0cmFsIGRhdGEgdG8gbWVldCBi dXNpbmVzcyBuZWVkIHRoYXQgaW5jbHVkZXMgY29ubmVjdGlvbnMgdG8gdGhlIHNvdXJjZSBpbmZv cm1hdGlvbiBmcm9tIHRoZSBkYXRhIHN0ZXdhcmRzLiAgVGhlIGRhdGEgc3Rld2FyZHMgZGV0ZXJt aW5lIHdoaWNoIGRhdGEgYXJlIHB1Ymxpc2hlZCBhbmQgc2hvdWxkIGJlIGNvbnRhY3RlZCBmb3Ig YW55IHF1ZXN0aW9ucyBvbiBkYXRhIGNvbnRlbnQgb3IgZm9yIGFkZGl0aW9uYWwgaW5mb3JtYXRp b24uICBUaGUgY2FkYXN0cmFsIHB1YmxpY2F0aW9uIGRhdGEgaXMgZGF0YSBwcm92aWRlZCBieSBj YWRhc3RyYWwgZGF0YSBwcm9kdWNlcnMgaW4gYSBzdGFuZGFyZCBmb3JtIG9uIGEgcmVndWxhciBi YXNpcy4gIENhZGFzdHJhbCBwdWJsaWNhdGlvbiBkYXRhIGhhcyB0d28gcHJpbWFyeSBjb21wb25l bnRzLCBsYW5kIHBhcmNlbCBkYXRhIGFuZCBjYWRhc3RyYWwgcmVmZXJlbmNlIGRhdGEuICBJdCBp cyBpbXBvcnRhbnQgdG8gcmVjb2duaXplIHRoYXQgdGhlIHB1YmxpY2F0aW9uIGRhdGEgYXJlIG5v dCB0aGUgc2FtZSBhcyB0aGUgb3BlcmF0aW9uIGFuZCBtYWludGVuYW5jZSBvciBwcm9kdWN0aW9u IGRhdGEuICBUaGUgcHJvZHVjdGlvbiBkYXRhIGlzIHN0cnVjdHVyZWQgdG8gb3B0aW1pemUgbWFp bnRlbmFuY2UgcHJvY2Vzc2VzLCBpcyBpbnRlZ3JhdGVkIHdpdGggaW50ZXJuYWwgYWdlbmN5IG9w ZXJhdGlvbnMgYW5kIGNvbnRhaW5zIG11Y2ggbW9yZSBkZXRhaWwgdGhhbiB0aGUgcHVibGljYXRp b24gZGF0YS4gIFRoZSBwdWJsaWNhdGlvbiBkYXRhIGlzIGEgc3Vic2V0IG9mIHRoZSBtb3JlIGNv bXBsZXRlIHByb2R1Y3Rpb24gZGF0YSBhbmQgaXMgcmVmb3JtYXR0ZWQgdG8gbWVldCBhIG5hdGlv bmFsIHN0YW5kYXJkIHNvIGRhdGEgY2FuIGJlIGludGVncmF0ZWQgYWNyb3NzIGp1cmlzZGljdGlv bmFsIGJvdW5kYXJpZXMgYW5kIGJlIHByZXNlbnRlZCBpbiBhIGNvbnNpc3RlbnQgYW5kIHN0YW5k YXJkIGZvcm0gbmF0aW9uYWxseS4gIDwvcHVycG9zZT4NCiAgICA8L2Rlc2NyaXB0Pg0KICAgIDx0 aW1lcGVyZD4NCiAgICAgIDxjdXJyZW50PnB1YmxpY2F0aW9uIGRhdGU8L2N1cnJlbnQ+DQogICAg ICA8dGltZWluZm8+DQogICAgICAgIDxzbmdkYXRlPg0KICAgICAgICAgIDxjYWxkYXRlPlNlZSB0 aGUgUExTU1BvaW50IGZlYXR1cmUgY2xhc3MgZm9yIGZ1bGwgZGV0YWlscyByZWdhcmRpbmcgdGhl IHJldmlzaW9uIGRhdGUgZm9yIGEgc3BlY2lmaWMgY29ybmVyLjwvY2FsZGF0ZT4NCiAgICAgICAg PC9zbmdkYXRlPg0KICAgICAgPC90aW1laW5mbz4NCiAgICA8L3RpbWVwZXJkPg0KICAgIDxzdGF0 dXM+DQogICAgICA8cHJvZ3Jlc3M+Q29tcGxldGU8L3Byb2dyZXNzPg0KICAgICAgPHVwZGF0ZT5J cnJlZ3VsYXI8L3VwZGF0ZT4NCiAgICA8L3N0YXR1cz4NCiAgICA8YWNjY29uc3Q+bm9uZTwvYWNj Y29uc3Q+DQogICAgPHVzZWNvbnN0PlRoZXNlIGRhdGEgYXJlIHB1YmxpYyBpbmZvcm1hdGlvbiBh bmQgbWF5IGJlIHVzZWQgYW5kIGludGVycHJldGVkIGJ5IG9yZ2FuaXphdGlvbnMsIGFnZW5jaWVz LCB1bml0cyBvZiBnb3Zlcm5tZW50LCBvciBvdGhlcnMuIFRoZSB1c2VyIGhhcyBzb2xlIHJlc3Bv bnNpYmlsaXR5IGZvciBlbnN1cmluZyB0aGUgYXBwcm9wcmlhdGUgYXBwbGljYXRpb24gb2YgdGhl c2UgZGF0YSBhbmQgdGhlIFUuUy4gQnVyZWF1IG9mIExhbmQgTWFuYWdlbWVudCBzaGFsbCBub3Qg YmUgaGVsZCBsaWFibGUgZm9yIGFueSB1c2Ugb3IgbWlzdXNlIG9mIHRoZSBkYXRhIGRlc2NyaWJl ZCBoZXJlb24uIA0KSXQgaXMgc3Ryb25nbHkgcmVjb21tZW5kZWQgdGhhdCB0aGVzZSBkYXRhIGJl IGFjcXVpcmVkIGRpcmVjdGx5IGZyb20gdGhlIFUuUy4gQnVyZWF1IG9mIExhbmQgTWFuYWdlbWVu dCBhbmQgbm90IGluZGlyZWN0bHkgdGhyb3VnaCBzb21lIG90aGVyIHNvdXJjZSB3aGljaCBtYXkg aGF2ZSBjaGFuZ2VkIHRoZSBkYXRhLiBJdCBpcyBzdHJvbmdseSByZWNvbW1lbmRlZCB0aGF0IGNh cmVmdWwgYXR0ZW50aW9uIGJlIHBhaWQgdG8gdGhlIGNvbnRlbnQgb2YgdGhlIG1ldGFkYXRhIGZp bGUgYXNzb2NpYXRlZCB3aXRoIHRoZXNlIGRhdGEuIA0KVXNlcnMgYXJlIGNhdXRpb25lZCB0aGF0 IGRpZ2l0YWwgZW5sYXJnZW1lbnQgb2YgdGhlc2UgZGF0YSB0byBzY2FsZXMgbGFyZ2VyIHRoYW4g dGhhdCBhdCB3aGljaCB0aGV5IHdoZXJlIG9yaWdpbmFsbHkgbWFwcGVkIGNhbiBjYXVzZSBtaXNp bnRlcnByZXRhdGlvbi4gVXNlcnMgYXJlIGZ1cnRoZXIgY2F1dGlvbmVkIHRoYXQgdGhlc2UgZGF0 YSBhbmQgaW50ZXJwcmV0YXRpb25zIGRlcml2ZWQgZnJvbSB0aGVtIGRvIG5vdCBlbGltaW5hdGUg dGhlIG5lZWQgZm9yIG9uc2l0ZSBzdXJ2ZXkgYW5kIGV2YWx1YXRpb24gb2Ygc3BlY2lmaWMgc2l0 ZXMgZm9yIGludGVuc2l2ZSB1c2VzLiBUaGUgVS5TLiBCdXJlYXUgb2YgTGFuZCBNYW5hZ2VtZW50 IHNob3VsZCBiZSBjaXRlZCBhcyB0aGUgZGF0YSBzb3VyY2UgaW4gYW55IHByb2R1Y3RzIGRlcml2 ZWQgZnJvbSB0aGVzZSBkYXRhLjwvdXNlY29uc3Q+DQogICAgPG5hdGl2ZT5NaWNyb3NvZnQgV2lu ZG93cyBWaXN0YSBWZXJzaW9uIDYuMSAoQnVpbGQgNzYwMCkgOyBFU1JJIEFyY0NhdGFsb2cgOS4z LjEuMzUwMDwvbmF0aXZlPg0KICAgIDxzcGRvbT4NCiAgICAgIDxib3VuZGluZz4NCiAgICAgICAg PHdlc3RiYz4tMTI0LjQwNzYwNjwvd2VzdGJjPg0KICAgICAgICA8ZWFzdGJjPi0xMTQuMTI0NjA1 PC9lYXN0YmM+DQogICAgICAgIDxub3J0aGJjPjQyLjAwOTUxMDwvbm9ydGhiYz4NCiAgICAgICAg PHNvdXRoYmM+MzIuNTM0MDI4PC9zb3V0aGJjPg0KICAgICAgPC9ib3VuZGluZz4NCiAgICA8L3Nw ZG9tPg0KICA8L2lkaW5mbz4NCiAgPGRhdGFxdWFsIHhtbG5zOnhzaT0iaHR0cDovL3d3dy53My5v cmcvMjAwMS9YTUxTY2hlbWEtaW5zdGFuY2UiIHhtbG5zOnhzPSJodHRwOi8vd3d3LnczLm9yZy8y MDAxL1hNTFNjaGVtYSI+DQogICAgPGxpbmVhZ2U+DQogICAgICA8cHJvY3N0ZXA+DQogICAgICAg IDxwcm9jZGVzYz5FeGVjdXRpdmUgT3JkZXIgMTI5MDYgY2FsbHMgZm9yIHRoZSBlc3RhYmxpc2ht ZW50IG9mIHRoZSBOYXRpb25hbCBTcGF0aWFsIERhdGEgSW5mcmFzdHJ1Y3R1cmUgZGVmaW5lZCBh cyB0aGUgdGVjaG5vbG9naWVzLCBwb2xpY2llcywgYW5kIHBlb3BsZSBuZWNlc3NhcnkgdG8gcHJv bW90ZSBzaGFyaW5nIG9mIGdlb3NwYXRpYWwgZGF0YSB0aHJvdWdob3V0IGFsbCBsZXZlbHMgb2Yg Z292ZXJubWVudCwgdGhlIHByaXZhdGUgYW5kIG5vbi1wcm9maXQgc2VjdG9ycywgYW5kIHRoZSBh Y2FkZW1pYyBjb21tdW5pdHkuIDwvcHJvY2Rlc2M+DQogICAgICA8L3Byb2NzdGVwPg0KICAgICAg PHByb2NzdGVwPg0KICAgICAgICA8cHJvY2Rlc2M+RkdEQyBDYWRhc3RyYWwgU3ViY29tbWl0dGVl IGRldmVsb3BlZCB0aGUgQ2FkYXN0cmFsIERhdGEgQ29udGVudCBTdGFuZGFyZCBhbmQgc3VibWl0 dGVkIGl0IGZvciBhcHByb3ZhbCB0byB0aGUgRkdEQy4gIFRoaXMgd2FzIGNvbXBsZXRlZCBpbiAx OTk4LiAgVGhlIG1vc3QgcmVjZW50IHZlcnNpb24gb2YgdGhlIEZHREMgQ2FkYXN0cmFsIERhdGEg Q29udGVudCBTdGFuZGFyZCAgaXMgdmVyc2lvbiAxLjQuIEZlZGVyYWwgR2VvZ3JhcGhpYyBEYXRh IENvbW1pdHRlZSwgMjAwOCwgQ2FkYXN0cmFsIERhdGEgQ29udGVudCBTdGFuZGFyZCBmb3IgdGhl IE5hdGlvbmFsIFNwYXRpYWwgRGF0YSBJbmZyYXN0cnVjdHVyZSwgVmVyc2lvbiAxLjQsIFN1YmNv bW1pdHRlZSBvbiBDYWRhc3RyYWwgRGF0YSwgUmVzdG9uLCBWaXJnaW5pYS48L3Byb2NkZXNjPg0K ICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9jc3RlcD4NCiAgICAgICAgPHByb2NkZXNjPklu IDIwMDMgdGhlIENhZGFzdHJhbCBTdWJjb21taXR0ZWUgbWV0IGluIFBvcnRsYW5kIE9yZWdvbiwg aG9zdGVkIGJ5IHRoZSBGb3Jlc3QgU2VydmljZSwgYW5kIGRlZmluZWQgdGhlIHBvbGljZXMgYW5k IG5lZWRzIGZvciBlc3RhYmxpc2hpbmcgYSByb2J1c3QgQ2FkYXN0cmFsIFB1YmxpY2F0aW9uIERh dGEgU3RhbmRhcmQgZm9yIHRoZSBOU0RJLjwvcHJvY2Rlc2M+DQogICAgICA8L3Byb2NzdGVwPg0K ICAgICAgPHByb2NzdGVwPg0KICAgICAgICA8cHJvY2Rlc2M+SW4gMjAwNyBhZnRlciBhIHNlcmll cyBvZiB3b3Jrc2hvcHMgYW5kIG1lZXRpbmdzIHdpdGgga2V5IGJ1c2luZXNzIGZ1bmN0aW9ucyBh IHNldCBvZiBjb3JlIGRhdGEgd2FzIGRvY3VtZW50ZWQuIFRoaXMgZG9jdW1lbnQgd2FzIHB1Ymxp c2hlZCBvbiB0aGUgU3ViY29tbWl0dGVlJ3Mgb3V0cmVhY2ggd2ViIHNpdGUgKGh0dHA6Ly93d3cu bmF0aW9uYWxjYWQub3JnKSBhbmQgIGl0IGRlc2NyaWJlZCB0aGUgZGF0YSBhbmQgb3JnYW5pemF0 aW9uYWwgcmVsYXRpb25zaGlwcyBmb3IgdGhlIG1haW50ZW5hbmNlIG9mIHRoZSBkYXRhIHRoYXQg aXMgdGhlIENhZGFzdHJhbCBOU0RJLiBUaGlzIGRvY3VtZW50IHNlcnZlZCBhcyBhIHN0YW5kYXJk IGZvciB0aGUgQ2FkYXN0cmFsIE5TREkgY29udGVudC48L3Byb2NkZXNjPg0KICAgICAgPC9wcm9j c3RlcD4NCiAgICAgIDxwcm9jc3RlcD4NCiAgICAgICAgPHByb2NkZXNjPkluIDIwMDggdGhlIGZp cnN0IGRyYWZ0IG9mIHRoZSBDYWRhc3RyYWwgUHVibGljYXRpb24gR3VpZGVsaW5lcyB3YXMgcHVi bGlzaGVkIGFzIEdJUyBzY2hlbWEuICBUaGlzIGRvY3VtZW50IGhhcyBiZWVuIHJldmlzZWQgdGhy b3VnaCB0aGUgdGVzdGluZyBlZmZvcnRzIGZyb20gV2lsZGxhbmQgZmlyZSBhbmQgdGhlIHdlc3Rl cm4gVVMgUExTUyBkYXRhIHNldCBkZXZlbG9wZWQuICBUaGUgZmluYWwgdmVyc2lvbiBvZiB0aGUg cHVibGljYXRpb24gZ3VpZGVsaW5lcyB3YXMgY29tcGxldGVkIGluIHRoZSBGYWxsIG9mIDIwMDku PC9wcm9jZGVzYz4NCiAgICAgIDwvcHJvY3N0ZXA+DQogICAgICA8cHJvY3N0ZXA+DQogICAgICAg IDxwcm9jZGVzYz5UaGUgT3JlZ29uIEdDREIgT2ZmaWNlIHdpbGwgbmVlZCB0byBiZSBjb250YWN0 ZWQgZm9yIGNvbXBsZXRlIGRhdGEgcHJvY2Vzc2luZyBkZXRhaWxzPC9wcm9jZGVzYz4NCiAgICAg ICAgPHByb2NkYXRlPkp1bmUgMSwgMjAxMDwvcHJvY2RhdGU+DQogICAgICA8L3Byb2NzdGVwPg0K ICAgICAgPHByb2NzdGVwPg0KICAgICAgICA8cHJvY2Rlc2M+TWV0YWRhdGEgaW1wb3J0ZWQuPC9w cm9jZGVzYz4NCiAgICAgICAgPHNyY3VzZWQ+RjpcQ2FkTlNESV9GaW5hbF9RQVxtZXRhZGF0YVxV TlpcT1ItbWV0YWRhdGFYbWxcT1ItbWV0YWRhdGFYbWxcT1ItbWV0YWRhdGFYbWxcUExTU0ZpcnN0 RGl2aXNpb24ueG1sPC9zcmN1c2VkPg0KICAgICAgICA8cHJvY2RhdGU+MjAxMDA3MDE8L3Byb2Nk YXRlPg0KICAgICAgICA8cHJvY3RpbWU+MDkzNTEzMDA8L3Byb2N0aW1lPg0KICAgICAgPC9wcm9j c3RlcD4NCiAgICA8L2xpbmVhZ2U+DQogICAgPGxvZ2ljPkRhdGEgY29uZm9ybWluZyB0byB0aGUg UHVibGljYXRpb24gR3VpZGVsaW5lIHNob3VsZCBmb2xsb3cgZm9yIHRoZSBmb3JtYXQgYW5kIHN0 cnVjdHVyZSBvZiB0aGUgc3RhbmRhcmQgZm9yIHB1Ymxpc2hlZCBkYXRhLiAgVGhpcyBtZWFucyB0 aGF0IHRoZSB0b3BvbG9naWNhbCByZWxhdGlvbnNoaXBzIG9mIHRoZSBQTFNTIGFuZCBwYXJjZWxz IHNob3VsZCBiZSBmb2xsb3dlZC4gIExldmVsIDEgY29uZm9ybWFuY2UgdG8gdGhlIGd1aWRlbGlu ZSBtZWFucyB0aGF0IHRoZSBkYXRhIGZvbGxvd3MgYW5kIGNvbmZvcm1zIHRvIHRoZSBzdHJ1Y3R1 cmUgYW5kIGFuIGFjdGl2ZSBkYXRhIHN0ZXdhcmQgaXMgaWRlbnRpZmllZCBhbmQgZW5nYWdlZCBp biBkYXRhIGNyZWF0aW9uIGFuZCBtYWludGVuYW5jZS4gTGV2ZWwgMiBjb25mb3JtYW5jZSBhbGwg YXR0cmlidXRlcyB0aGF0IGFyZSBuZWNlc3NhcnkgZm9yIGVzc2VudGlhbCBxdWVyeSwgZXh0cmFj dGlvbiwgbGFiZWxpbmcgYW5kIHVzZSBhcmUgcHJlc2VudC4gIExldmVsIDMgY29uZm9ybWFuY2Ug YWxsIGF0dHJpYnV0ZXMgYXMgYXBwbGljYWJsZSBhcmUgcG9wdWxhdGVkLg0KDQpUaGUgT3JlZ29u IERhdGEgU2V0IGlzIGF0IExldmVsIDMgb2YgMyBDb25mb3JtYW5jZSBhbmQgZnVsbHkgY29tcGxp ZXMgd2l0aCB0aGUgbmF0aW9uYWwgc3RhbmRhcmQ8L2xvZ2ljPg0KICAgIDxjb21wbGV0ZT5UaGUg U3ViY29tbWl0dGVlIHJlY29nbml6ZXMgdGhhdCBub3QgYWxsIGRhdGEgaXMgYXZhaWxhYmxlIGlu IGFsbCBwbGFjZXMsIGJ1dCB0aGUgZGF0YSB0aGF0IGlzIGF2YWlsYWJsZSBzaG91bGQgYmUgcHJv dmlkZWQgZm9yIHB1YmxpY2F0aW9uIGluIHRoZSBmb3JtYXQgcHJvdmlkZWQgaW4gdGhpcyBndWlk ZWxlaW5lcy4gIEV4Y2VwdGlvbnMgdG8gY29tcGxldGUgZGF0YSBzaG91bGQgYmUgbm90ZWQgYnkg dGhlIGRhdGEgc3Rld2FyZC4NCg0KVGhlIE9yZWdvbiBEYXRhIFNldCBjb250YWlucyBhbGwgb2Yg dGhlIGF2YWlsYWJsZSBHQ0RCIFBMU1MgZGF0YS48L2NvbXBsZXRlPg0KICA8L2RhdGFxdWFsPg0K ICA8c3Bkb2luZm8geG1sbnM6eHNpPSJodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hNTFNjaGVtYS1p bnN0YW5jZSIgeG1sbnM6eHM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDEvWE1MU2NoZW1hIj4NCiAg ICA8ZGlyZWN0PlZlY3RvcjwvZGlyZWN0Pg0KICAgIDxwdHZjdGluZj4NCiAgICAgIDxzZHRzdGVy bT4NCiAgICAgICAgPHNkdHN0eXBlPkctcG9seWdvbjwvc2R0c3R5cGU+DQogICAgICAgIDxwdHZj dGNudD4xNDQzMTE8L3B0dmN0Y250Pg0KICAgICAgPC9zZHRzdGVybT4NCiAgICA8L3B0dmN0aW5m Pg0KICA8L3NwZG9pbmZvPg0KICA8c3ByZWYgeG1sbnM6eHNpPSJodHRwOi8vd3d3LnczLm9yZy8y MDAxL1hNTFNjaGVtYS1pbnN0YW5jZSIgeG1sbnM6eHM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDEv WE1MU2NoZW1hIj4NCiAgICA8aG9yaXpzeXM+DQogICAgICA8Z2VvZ3JhcGg+DQogICAgICAgIDxn ZW9ndW5pdD5EZWNpbWFsIGRlZ3JlZXM8L2dlb2d1bml0Pg0KICAgICAgICA8bGF0cmVzPjAuMDAw MDA5PC9sYXRyZXM+DQogICAgICAgIDxsb25ncmVzPjAuMDAwMDA5PC9sb25ncmVzPg0KICAgICAg PC9nZW9ncmFwaD4NCiAgICAgIDxnZW9kZXRpYz4NCiAgICAgICAgPGhvcml6ZG4+Tm9ydGggQW1l cmljYW4gRGF0dW0gb2YgMTk4MzwvaG9yaXpkbj4NCiAgICAgICAgPGVsbGlwcz5HZW9kZXRpYyBS ZWZlcmVuY2UgU3lzdGVtIDgwPC9lbGxpcHM+DQogICAgICAgIDxzZW1pYXhpcz42Mzc4MTM3LjAw MDAwMDwvc2VtaWF4aXM+DQogICAgICAgIDxkZW5mbGF0PjI5OC4yNTcyMjI8L2RlbmZsYXQ+DQog ICAgICA8L2dlb2RldGljPg0KICAgIDwvaG9yaXpzeXM+DQogICAgPHZlcnRkZWY+DQogICAgICA8 YWx0c3lzPg0KICAgICAgICA8YWx0ZW5jPkV4cGxpY2l0IGVsZXZhdGlvbiBjb29yZGluYXRlIGlu Y2x1ZGVkIHdpdGggaG9yaXpvbnRhbCBjb29yZGluYXRlczwvYWx0ZW5jPg0KICAgICAgICA8YWx0 cmVzPjAuMDAwMDAzPC9hbHRyZXM+DQogICAgICA8L2FsdHN5cz4NCiAgICA8L3ZlcnRkZWY+DQog IDwvc3ByZWY+DQogIDxlYWluZm8geG1sbnM6eHNpPSJodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hN TFNjaGVtYS1pbnN0YW5jZSIgeG1sbnM6eHM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDEvWE1MU2No ZW1hIj4NCiAgICA8ZGV0YWlsZWQ+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPk9C SkVDVElEPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+SW50ZXJuYWwgZmVhdHVyZSBudW1i ZXIuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RVNSSTwvYXR0cmRlZnM+DQogICAgICAg IDxhdHRyZG9tdj4NCiAgICAgICAgICA8dWRvbT5TZXF1ZW50aWFsIHVuaXF1ZSB3aG9sZSBudW1i ZXJzIHRoYXQgYXJlIGF1dG9tYXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAgPC9h dHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+ U0hBUEU8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5GZWF0dXJlIGdlb21ldHJ5LjwvYXR0 cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkVTUkk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRv bXY+DQogICAgICAgICAgPHVkb20+Q29vcmRpbmF0ZXMgZGVmaW5pbmcgdGhlIGZlYXR1cmVzLjwv dWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0K ICAgICAgICA8YXR0cmxhYmw+RlJTVERJVkRVUDwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVm PlRoaXMgaXMgYSBjb2RlIHRvIGluZGljYXRlIHdoZXRoZXIgdGhlIGZpcnN0IGRpdmlzaW9uIGlz IGEgZHVwbGljYXRlZCBhcmVhIG9yIGlkZW50aWZpZXI8L2F0dHJkZWY+DQogICAgICA8L2F0dHI+ DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkZSU1RESVZJRDwvYXR0cmxhYmw+DQog ICAgICAgIDxhdHRyZGVmPlRoaXMgaXMgYSB1bmlxdWUgaWRlbnRpZmllciBmb3IgdGhlIGZpcnN0 IGRpdmlzaW9uIHRoYXQgaXMgYnVpbHQgYnkgYXBwZW5kaW5nIHRoZSBmaXJzdCBkaXZpc2lvbiBl bGVtZW50cyBvbiB0aGUgVG93bnNoaXAgaWRlbnRpZmllci48L2F0dHJkZWY+DQogICAgICA8L2F0 dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkZSU1RESVZMQUI8L2F0dHJsYWJs Pg0KICAgICAgICA8YXR0cmRlZj5UaGlzIGlzIHRoZSBsYWJlbCBmb3IgdGhlIGZpcnN0IGRpdmlz aW9uIHRoYXQgaXMgdXNlZCBmb3IgY2FydG9ncmFwaGljIG9mIHdlYiBkaXNwbGF5IHB1cnBvc2Vz LjwvYXR0cmRlZj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxh Ymw+RlJTVERJVk5PPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+VGhpcyBpcyB0aGUgbnVt YmVyLCBsZXR0ZXIgb3IgZGVzaWduYXRvciBmb3IgdGhlIGZpcnN0IGRpdmlzaW9uIG9mIHRoZSBQ TFNTIFRvd25zaGlwPC9hdHRyZGVmPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAg ICAgIDxhdHRybGFibD5GUlNURElWVFhUPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+VGhp cyBpcyB0aGUgZmlyc3QgZGl2aXNpb24gdHlwZSBhcyBhIHRleHQgZmllbGQ8L2F0dHJkZWY+DQog ICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkZSU1RESVZUWVA8 L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5UaGlzIGlzIHRoZSB0eXBlIG9mIGZpcnN0IGRp dmlzaW9uIGFuZCBpcyBjb21tb25seSB0aGUgc2VjdGlvbiBidXQgbWF5IGJlIGEgbG90LCBwYXJj ZWwsIHRyYWN0IG9yIG90aGVyIGRpdmlzaW9uLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkb212 Pg0KICAgICAgICAgIDxlZG9tPg0KICAgICAgICAgICAgPGVkb212PlNOPC9lZG9tdj4NCiAgICAg ICAgICAgIDxlZG9tdmQ+UExTUyBTZWN0aW9uPC9lZG9tdmQ+DQogICAgICAgICAgPC9lZG9tPg0K ICAgICAgICAgIDxlZG9tPg0KICAgICAgICAgICAgPGVkb212PkRDPC9lZG9tdj4NCiAgICAgICAg ICAgIDxlZG9tdmQ+RG9uYXRpb24gTG5hZCBDbGFpbSBpbiBBbHRlcm5hdGUgU291cmNlIERhdGE8 L2Vkb212ZD4NCiAgICAgICAgICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAg ICA8ZWRvbXY+SEU8L2Vkb212Pg0KICAgICAgICAgICAgPGVkb212ZD5Ib21lc3RlYWQgRW50cnkg U3VydmV5IGluIFByb3RyYWN0ZWQgVG93bnNoaXBzPC9lZG9tdmQ+DQogICAgICAgICAgPC9lZG9t Pg0KICAgICAgICAgIDxlZG9tPg0KICAgICAgICAgICAgPGVkb212PkhTPC9lZG9tdj4NCiAgICAg ICAgICAgIDxlZG9tdmQ+SG9tZXN0ZWFkIEVudHJ5IFN1cnZleXMgaW4gQWx0ZXJuYXRlIFNvdXJj ZSBkYXRhPC9lZG9tdmQ+DQogICAgICAgICAgPC9lZG9tPg0KICAgICAgICAgIDxlZG9tPg0KICAg ICAgICAgICAgPGVkb212PklBPC9lZG9tdj4NCiAgICAgICAgICAgIDxlZG9tdmQ+SW5kaWFuIEFs bG90bWVudCBTdXJ2ZXk8L2Vkb212ZD4NCiAgICAgICAgICA8L2Vkb20+DQogICAgICAgICAgPGVk b20+DQogICAgICAgICAgICA8ZWRvbXY+TVM8L2Vkb212Pg0KICAgICAgICAgICAgPGVkb212ZD5N aW5lcmFsIHN1cnZleSBpbiBhIHByb3RyYWN0ZWQgdG93bnNoaXA8L2Vkb212ZD4NCiAgICAgICAg ICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAgICA8ZWRvbXY+TVc8L2Vkb212 Pg0KICAgICAgICAgICAgPGVkb212ZD5NZWFuZGVyZWQgV2F0ZXI8L2Vkb212ZD4NCiAgICAgICAg ICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAgICA8ZWRvbXY+T1Q8L2Vkb212 Pg0KICAgICAgICAgICAgPGVkb212ZD5PdGhlcjwvZWRvbXZkPg0KICAgICAgICAgIDwvZWRvbT4N CiAgICAgICAgICA8ZWRvbT4NCiAgICAgICAgICAgIDxlZG9tdj5QQjwvZWRvbXY+DQogICAgICAg ICAgICA8ZWRvbXZkPlByb3RyYWN0aW9uIEJsb2NrIGluIGEgcHJvdHJhY3RlZCB0b3duc2hpcDwv ZWRvbXZkPg0KICAgICAgICAgIDwvZWRvbT4NCiAgICAgICAgICA8ZWRvbT4NCiAgICAgICAgICAg IDxlZG9tdj5UUjwvZWRvbXY+DQogICAgICAgICAgICA8ZWRvbXZkPlRyYWN0PC9lZG9tdmQ+DQog ICAgICAgICAgPC9lZG9tPg0KICAgICAgICAgIDxlZG9tPg0KICAgICAgICAgICAgPGVkb212PlRT PC9lZG9tdj4NCiAgICAgICAgICAgIDxlZG9tdmQ+VG93bnNpdGUsIChleHRlcmlvciBib3VuZGFy eSk8L2Vkb212ZD4NCiAgICAgICAgICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAg ICAgICA8ZWRvbXY+VU48L2Vkb212Pg0KICAgICAgICAgICAgPGVkb212ZD5VbnN1cnZleWVkIHVu cHJvdHJhY3RlZDwvZWRvbXZkPg0KICAgICAgICAgIDwvZWRvbT4NCiAgICAgICAgICA8ZWRvbT4N CiAgICAgICAgICAgIDxlZG9tdj5VUDwvZWRvbXY+DQogICAgICAgICAgICA8ZWRvbXZkPlNlY3Rp b24gaW4gYSB1bnN1cnZleWVkIHByb3RyYWN0ZWQgdG93bnNoaXA8L2Vkb212ZD4NCiAgICAgICAg ICA8L2Vkb20+DQogICAgICAgICAgPGVkb20+DQogICAgICAgICAgICA8ZWRvbXY+VzwvZWRvbXY+ DQogICAgICAgICAgICA8ZWRvbXZkPldhdGVyIHRoYXQgZmFsbCB3aXRoaW4gdGhlIGV4dGVudHMg b2YgYSAxc3QgZGl2aXNpb24gcGFyY2VsPC9lZG9tdmQ+DQogICAgICAgICAgPC9lZG9tPg0KICAg ICAgICA8L2F0dHJkb212Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxh dHRybGFibD5HT1ZMT1Q8L2F0dHJsYWJsPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQog ICAgICAgIDxhdHRybGFibD5QTFNTSUQ8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5UaGlz IGlzIHRoZSB1bmlxdWUgaWRlbnRpZmllciBmb3IgdGhlIFBMU1MgVG93bnNoaXAgaW4gd2hpY2gg dGhlIGZpcnN0IGRpdmlzaW9uIGlzIGxvY2F0ZWQuIENvbmNhdGVuYXRpb24gb2YgdGhlIHByaW5j aXBhbCBtZXJpZGlhbiwgdG93bnNoaXAsIHJhbmdlLCBhbmQgZHVwbGljYXRpb24gY29kZSB0aGF0 IGZvcm0gYSB1bmlxdWUgaWRlbnRpZmllciBmb3IgdGhlIHRvd25zaGlwLjwvYXR0cmRlZj4NCiAg ICAgIDwvYXR0cj4NCiAgICAgIDxlbnR0eXA+DQogICAgICAgIDxlbnR0eXBsPlBMU1NGaXJzdERp dmlzaW9uPC9lbnR0eXBsPg0KICAgICAgICA8ZW50dHlwZD5UaGUgUExTUyBGaXJzdCBEaXZpc2lv biBpcyBjb21tb25seSB0aGUgc2VjdGlvbi4gVGhpcyBpcyB0aGUgZmlyc3Qgc2V0IG9mIGRpdmlz aW9ucyBmb3IgYSBQTFNTIFRvd25zaGlwLjwvZW50dHlwZD4NCiAgICAgIDwvZW50dHlwPg0KICAg ICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5TVVJWVFlQPC9hdHRybGFibD4NCiAgICAgIDwv YXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+U1VSVlRZUFRYVDwvYXR0cmxh Ymw+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPlNIQVBF X0xlbmd0aDwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkxlbmd0aCBvZiBmZWF0dXJlIGlu IGludGVybmFsIHVuaXRzLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkVTUkk8L2F0dHJk ZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+UG9zaXRpdmUgcmVhbCBu dW1iZXJzIHRoYXQgYXJlIGF1dG9tYXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAg PC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxh Ymw+U0hBUEVfQXJlYTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkFyZWEgb2YgZmVhdHVy ZSBpbiBpbnRlcm5hbCB1bml0cyBzcXVhcmVkLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZz PkVTUkk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+UG9z aXRpdmUgcmVhbCBudW1iZXJzIHRoYXQgYXJlIGF1dG9tYXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRv bT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICA8L2RldGFpbGVkPg0K ICA8L2VhaW5mbz4NCiAgPGRpc3RpbmZvIHhtbG5zOnhzaT0iaHR0cDovL3d3dy53My5vcmcvMjAw MS9YTUxTY2hlbWEtaW5zdGFuY2UiIHhtbG5zOnhzPSJodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hN TFNjaGVtYSI+DQogICAgPGRpc3RyaWI+DQogICAgICA8Y250aW5mbz4NCiAgICAgICAgPGNudG9y Z3A+DQogICAgICAgICAgPGNudG9yZz5CTE0gT3JlZ29uIFN0YXRlIE9mZmljZTwvY250b3JnPg0K ICAgICAgICAgIDxjbnRwZXI+R0NEQiBNYW5hZ2VyPC9jbnRwZXI+DQogICAgICAgIDwvY250b3Jn cD4NCiAgICAgICAgPGNudGVtYWlsPnRrZWNrQGJsbS5nb3YNCjwvY250ZW1haWw+DQogICAgICAg IDxjbnRhZGRyPg0KICAgICAgICAgIDxhZGRydHlwZT5tYWlsaW5nIGFkZHJlc3M8L2FkZHJ0eXBl Pg0KICAgICAgICAgIDxhZGRyZXNzPlAuTy4gQm94IDI5NjU8L2FkZHJlc3M+DQogICAgICAgICAg PGNpdHk+UG9ydGxhbmQ8L2NpdHk+DQogICAgICAgICAgPHN0YXRlPk9SPC9zdGF0ZT4NCiAgICAg ICAgICA8cG9zdGFsPjk1ODI1PC9wb3N0YWw+DQogICAgICAgIDwvY250YWRkcj4NCiAgICAgICAg PGNudHZvaWNlPjUwMy04MDgtNjE2NDwvY250dm9pY2U+DQogICAgICA8L2NudGluZm8+DQogICAg PC9kaXN0cmliPg0KICAgIDxyZXNkZXNjPlRoZSBjb21wbGV0ZWQgQ2FkTlNESSBzaG91bGQgYmUg bWFkZSBhdmFpbGFibGUgYSBwdWJsaWMgcmVzb3VyY2UuICBUaGVyZSBhcmUgbWFueSB3YXlzIHRo aXMgZGF0YSBjYW4gYmUgcHVibGlzaGVkIGluY2x1ZGVkIHdlYiBzZXJ2aWNlcywgZGF0YSBzZXJ2 aWNlcyBvciBhcyBhIGRvd25sb2FkYWJsZSBmaWxlLiAgPC9yZXNkZXNjPg0KICAgIDxkaXN0bGlh Yj5EYXRhIGRpc3RyaWJ1dG9ycyBzaG91bGQgbm90IG1vZGlmeSB0aGUgZGF0YSBpbiBhbnkgd2F5 LiAgVGhlIGRhdGEgc3Rld2FyZHMgYXJlIHJlc3BvbnNpYmxlIGZvciB0aGUgZGF0YSBjb250ZW50 IGFuZCBxdWFsaXR5LiAgVGhlIGRhdGEgZGlzdHJpYnV0b3JzIHNob3VsZCBiZSBwcm92aWRpbmcg YWNjZXNzIHRvIHRoZSBpbmZvcm1hdGlvbiBidXQgbm90IGNoYW5naW5nIHRoZSBjb250ZW50Ljwv ZGlzdGxpYWI+DQogIDwvZGlzdGluZm8+DQogIDxtZXRhaW5mbyB4bWxuczp4c2k9Imh0dHA6Ly93 d3cudzMub3JnLzIwMDEvWE1MU2NoZW1hLWluc3RhbmNlIiB4bWxuczp4cz0iaHR0cDovL3d3dy53 My5vcmcvMjAwMS9YTUxTY2hlbWEiPg0KICAgIDxtZXRkPjIwMTAwNzAxPC9tZXRkPg0KICAgIDxt ZXRjPg0KICAgICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0KICAgICAgICAgIDxjbnRv cmc+QkxNIE9yZWdvbiBTdGF0ZSBPZmZpY2U8L2NudG9yZz4NCiAgICAgICAgPC9jbnRvcmdwPg0K ICAgICAgICA8Y250YWRkcj4NCiAgICAgICAgICA8YWRkcnR5cGU+bWFpbGluZyBhZGRyZXNzPC9h ZGRydHlwZT4NCiAgICAgICAgICA8YWRkcmVzcz4yODAwIENvdHRhZ2UgV2F5IFN0ZSBXLTE3Mjc8 L2FkZHJlc3M+DQogICAgICAgICAgPGNpdHk+U2FjcmFtZW50byA8L2NpdHk+DQogICAgICAgICAg PHN0YXRlPk9yZWdvbjwvc3RhdGU+DQogICAgICAgICAgPHBvc3RhbD45NTgyNTwvcG9zdGFsPg0K ICAgICAgICA8L2NudGFkZHI+DQogICAgICAgIDxjbnR2b2ljZT45MTYtOTc4LTQzNTA8L2NudHZv aWNlPg0KICAgICAgICA8Y250cG9zPkdDREIgTWFuYWdlcjwvY250cG9zPg0KICAgICAgICA8Y250 ZmF4PjkxNi05NzgtNDMyNzwvY250ZmF4Pg0KICAgICAgPC9jbnRpbmZvPg0KICAgIDwvbWV0Yz4N CiAgICA8bWV0c3Rkbj5GR0RDIENvbnRlbnQgU3RhbmRhcmRzIGZvciBEaWdpdGFsIEdlb3NwYXRp YWwgTWV0YWRhdGE8L21ldHN0ZG4+DQogICAgPG1ldHN0ZHY+RkdEQy1TVEQtMDAxLTE5OTg8L21l dHN0ZHY+DQogICAgPG1ldHRjPmxvY2FsIHRpbWU8L21ldHRjPg0KICA8L21ldGFpbmZvPg0KICA8 ZGF0YUlkSW5mbz4NCiAgICA8ZW52aXJEZXNjPk1pY3Jvc29mdCBXaW5kb3dzIFZpc3RhIFZlcnNp b24gNi4xIChCdWlsZCA3NjAwKSA7IEVTUkkgQXJjQ2F0YWxvZyA5LjMuMS4zNTAwPC9lbnZpckRl c2M+DQogICAgPGRhdGFMYW5nPg0KICAgICAgPGxhbmd1YWdlQ29kZSB2YWx1ZT0iZW4iIC8+DQog ICAgPC9kYXRhTGFuZz4NCiAgICA8aWRDaXRhdGlvbj4NCiAgICAgIDxyZXNUaXRsZT5QTFNTRmly c3REaXZpc2lvbjwvcmVzVGl0bGU+DQogICAgPC9pZENpdGF0aW9uPg0KICAgIDxkYXRhRXh0Pg0K ICAgICAgPGdlb0VsZT4NCiAgICAgICAgPEdlb0JuZEJveCBlc3JpRXh0ZW50VHlwZT0ibmF0aXZl Ij4NCiAgICAgICAgICA8d2VzdEJMPi0xMjQuNDA3NjA2PC93ZXN0Qkw+DQogICAgICAgICAgPGVh c3RCTD4tMTE0LjEyNDYwNTwvZWFzdEJMPg0KICAgICAgICAgIDxub3J0aEJMPjQyLjAwOTUxPC9u b3J0aEJMPg0KICAgICAgICAgIDxzb3V0aEJMPjMyLjUzNDAyODwvc291dGhCTD4NCiAgICAgICAg ICA8ZXhUeXBlQ29kZT4xPC9leFR5cGVDb2RlPg0KICAgICAgICA8L0dlb0JuZEJveD4NCiAgICAg IDwvZ2VvRWxlPg0KICAgIDwvZGF0YUV4dD4NCiAgICA8Z2VvQm94IGVzcmlFeHRlbnRUeXBlPSJk ZWNkZWdyZWVzIj4NCiAgICAgIDx3ZXN0Qkw+LTEyNC40MDc2MDY8L3dlc3RCTD4NCiAgICAgIDxl YXN0Qkw+LTExNC4xMjQ2MDU8L2Vhc3RCTD4NCiAgICAgIDxub3J0aEJMPjQyLjAwOTUxPC9ub3J0 aEJMPg0KICAgICAgPHNvdXRoQkw+MzIuNTM0MDI4PC9zb3V0aEJMPg0KICAgICAgPGV4VHlwZUNv ZGU+MTwvZXhUeXBlQ29kZT4NCiAgICA8L2dlb0JveD4NCiAgPC9kYXRhSWRJbmZvPg0KICA8bWRM YW5nPg0KICAgIDxsYW5ndWFnZUNvZGUgdmFsdWU9ImVuIiAvPg0KICA8L21kTGFuZz4NCiAgPG1k U3Rhbk5hbWU+SVNPIDE5MTE1IEdlb2dyYXBoaWMgSW5mb3JtYXRpb24gLSBNZXRhZGF0YTwvbWRT dGFuTmFtZT4NCiAgPG1kU3RhblZlcj5ESVNfRVNSSTEuMDwvbWRTdGFuVmVyPg0KICA8bWRDaGFy Pg0KICAgIDxDaGFyU2V0Q2QgdmFsdWU9IjAwNCIgLz4NCiAgPC9tZENoYXI+DQogIDxtZEhyTHY+ DQogICAgPFNjb3BlQ2QgdmFsdWU9IjAwNSIgLz4NCiAgPC9tZEhyTHY+DQogIDxtZEhyTHZOYW1l PmRhdGFzZXQ8L21kSHJMdk5hbWU+DQogIDxkaXN0SW5mbz4NCiAgICA8ZGlzdHJpYnV0b3I+DQog ICAgICA8ZGlzdG9yVHJhbj4NCiAgICAgICAgPG9uTGluZVNyYz4NCiAgICAgICAgICA8b3JEZXNj PjAwMjwvb3JEZXNjPg0KICAgICAgICAgIDxsaW5rYWdlPmZpbGU6Ly9cXE1FTlRPU1xGJFxDYWRO U0RJX0ZpbmFsX1FBXE9SX0NhZE5TREkuZ2RiPC9saW5rYWdlPg0KICAgICAgICAgIDxwcm90b2Nv bD5Mb2NhbCBBcmVhIE5ldHdvcms8L3Byb3RvY29sPg0KICAgICAgICA8L29uTGluZVNyYz4NCiAg ICAgIDwvZGlzdG9yVHJhbj4NCiAgICAgIDxkaXN0b3JGb3JtYXQ+DQogICAgICAgIDxmb3JtYXRO YW1lPkZpbGUgR2VvZGF0YWJhc2UgRmVhdHVyZSBDbGFzczwvZm9ybWF0TmFtZT4NCiAgICAgIDwv ZGlzdG9yRm9ybWF0Pg0KICAgIDwvZGlzdHJpYnV0b3I+DQogIDwvZGlzdEluZm8+DQogIDxyZWZT eXNJbmZvPg0KICAgIDxSZWZTeXN0ZW0+DQogICAgICA8cmVmU3lzSUQ+DQogICAgICAgIDxpZGVu dENvZGU+R0NTX05vcnRoX0FtZXJpY2FuXzE5ODM8L2lkZW50Q29kZT4NCiAgICAgIDwvcmVmU3lz SUQ+DQogICAgPC9SZWZTeXN0ZW0+DQogIDwvcmVmU3lzSW5mbz4NCiAgPHNwYXRSZXBJbmZvPg0K ICAgIDxWZWN0U3BhdFJlcD4NCiAgICAgIDx0b3BMdmw+DQogICAgICAgIDxUb3BvTGV2Q2QgdmFs dWU9IjAwMSIgLz4NCiAgICAgIDwvdG9wTHZsPg0KICAgICAgPGdlb21ldE9ianM+DQogICAgICAg IDxnZW9PYmpUeXA+DQogICAgICAgICAgPEdlb09ialR5cENkIHZhbHVlPSIwMDEiIC8+DQogICAg ICAgIDwvZ2VvT2JqVHlwPg0KICAgICAgICA8Z2VvT2JqQ250PjE0NDMxMTwvZ2VvT2JqQ250Pg0K ICAgICAgPC9nZW9tZXRPYmpzPg0KICAgIDwvVmVjdFNwYXRSZXA+DQogIDwvc3BhdFJlcEluZm8+ DQogIDxtZERhdGVTdD4yMDEwMDcwMTwvbWREYXRlU3Q+DQogIDxFc3JpPg0KICAgIDxDcmVhRGF0 ZT4yMDEyMDQyNDwvQ3JlYURhdGU+DQogICAgPENyZWFUaW1lPjEyNDkzNjAwPC9DcmVhVGltZT4N CiAgICA8QXJjR0lTc3R5bGU+RkdEQyBDU0RHTSBNZXRhZGF0YTwvQXJjR0lTc3R5bGU+DQogICAg PFN5bmNPbmNlPlRSVUU8L1N5bmNPbmNlPg0KICAgIDxEYXRhUHJvcGVydGllcz4NCiAgICAgIDxj b3B5SGlzdG9yeT4NCiAgICAgICAgPGNvcHkgc291cmNlPSJcXGJsbVxkZnNcb3JcZWdpc1x3b3Jr c3BhY2VcdGtlY2suQkxNXEdNTVxHQ0RCSW1wb3J0c1xJbXBvcnRcZGF0YVxNZXRhZGF0YUZpbGVz XFBMU1NGaXJzdERpdmlzaW9uIiBkZXN0PSJcXGJsbVxkZnNcb3JcZWdpc1x3b3Jrc3BhY2VccjJt aWxscy5ibG1cMjAxMlxSZXBsaWNhdGlvblxQTFNTMjAxMjA0MjVceG1sXFBMU1NGaXJzdERpdmlz aW9uIiBkYXRlPSIyMDEyMDQyNCIgdGltZT0iMTI0OTM2MDAiIC8+DQogICAgICA8L2NvcHlIaXN0 b3J5Pg0KICAgIDwvRGF0YVByb3BlcnRpZXM+DQogIDwvRXNyaT4NCjwvbWV0YWRhdGE+ iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzkvWeTHNmRLeghUpRWWQoaaACN1iSHMzb79svu795Pa2+/zAzf kE2yNdAAGoXSKrOyKmVErB0XV0RWD8k35HDtbdCK3Z2RGXH19Xv8+PH85f8zqSi4SipoNOrTXGuR qMqIkjK8TaOyT410jrIqpyohwo/TiqhKp3Teu6D1pQ4+8T/AvWRKh8fvaHfrASVVSuNySFmGb7Uo 4ftESVVRlaR02T+m1cUN/wy+iXcktH/yE21vb1NSNYg/DEr945vv6cmjp0RVTglVVPF9+c5X3/yO Pv70I0qKpt5LKcGtqqB//+o39MvPfsW/s/LidwmV9N2rP9CzZ59QWmZUoaDBtff+Dd29d5+SMpPv JyVVVcrt9fqn7+nxg2fSfnrx6xKir7/9kj7++GNKioa8ym5SSb/7/W/oF1/8mr8YtQul9M3LL+mj Z59oOXGjoLPuAXWW79Lb99/Tw/vP+Qf4dtj4J+cHtLmxRVTmeBjXn6qUyqSgm2GXFtqr8jxtZ65L VdI4GVAjacr7gkeiL/vXXVpaWKeE3xdfR2dvaatzj1K0BVoxSSiriMpsQj++eUVPuF38+OCWTsb0 9bd/pE9efMHjI2yXyXREabOgrJyTNuFfoBwFUZLSdz/8gT58+nlcCJQrHdK7vff04O7j2ljB7Qmd nZ9SZ23b1bdK0K4Fj+PB9ZDm55b5u3mVDKMHJFlJxXhAVdrQDo6boEpGVKUplVWhXSCNVCZTqtIx Vcl4pkAYNFWKl6OGFVVVoeMQBQvHJf67JEpLN1C57wiTlGcJlWlFWVlF5cLg9b8rdZAEdcrxhIKy VO7J/YoSDJgs0bGhC0FQnjKpaDwd8iQoq1o7pAWNJoNgglTUbLS5HFyetOKGtwe692aYClNK04zG kwlV3B78NppWExpPR9TMW9ouOty5/VA/tJ89E+8piLKC8nbG9UsTDDxfzlK/M54MqSysLytKk4wK mtK4GFM2HlBCKTUaDUoSGXwYiWixytol6E6pHz5DeVIaDgdRu0yrqes/XxK0Mb4vz5ZFVx5aoj7a f7wIuQVZf52gFlPKuEy4n1CFgqEveXXmj6L+5vZE3+IG6uQmvxUH/SULaJKkegs1rbhfEvdMojwp 5+OOrwpqVFNKCszY1A1gK3Balrzy+x0k4X4jmlBWtikpW8SjwDUNnimTBp2SUCYDPk2p4s6WJ1sl uWP0c3m5NC4+kf+XCeZqwM/XQanfsgnl9hD0QUpUTtFouC9DD/eKckJlWQUl9rXFfQwcKnJKazsI Pm+2mjxB0E5cT5TV5q6bw+HvEqrKkkuG7zVz2UXktxWlWUp5I8fM1J3X2g/9nXA9fE/LxC504nKN a5NYvoXB36Qkx67ra54RJv2Y2s22tqHftdw6Xc2sj25nR5vjKe0m+ttfWZpxeXk3xbus2Dy3K6pK DErfLigfr3eu4WXyhx2RYsygDbjd+P/5Kzz+qoJ+ev+6tiSnvIOcnJ3OLta6g1z1e3Rzg8VB31dl vDkcHL2nrc0tSumMv5tjq45btOTtN1zd4/sFr0qlrla2g8iKIwMVU8HXT+9XMBRknmK1lVGrywxa rJIZzwOR7wet5gZnSUmKRpbVP2xF/A5lwNtsRcCW+bsvf0tZ3qCLi3OqpiltbKxzp/Cg1tfwylsG ZqH+GoNSBn8mozQeCvqMXFcoNHJKaSITAPdCU4Kfibbh5+GerOhuuPPKmYppgufoVNclSJ+V+Wfy hprxH56J39VNnjQlKiYFJXiXM5elDNzOugCxSacTwhumKCc++5l2waDFROZxEHYVymHlVENXBz23 O/d1tJxrewVtFo07XeG1HLLy62Kt/Xj/zqO4a7Cwp0Ne2PhebSBXKUysE+qs7WjfYdFF+4zp4rxL D+89oYotA6L8+5df135c0mQ6oGbWvvUMUtCQkqQpOwifG9BRskXejG/oOD/ibStutYLSXAYTzhJo wAQrCQaZrqayUmK5wYCD3WvPwJ2Ui4HfVUXK747t4oo/T/lzMyVwbiipqErKUqLV1XW6uryibq9L y8sbOucwsWTfonQaDwOeu5joWCzwzKAduNcLKssJVYUOQD2DwPTCrjQtR1yHsGswXMpyStNizI/1 Ex9Xyc8rqgllujPzYsNfwbvxu5G8i8tQUlHIZ/y+YsxDKTyDVNWUetcX1Cm3dYL7CQKTeFqOqUBZ gmWFB15V0DQZuYkSjY+k5Hfhz+rt6weTacJtU7+4LXnh5YoHd2QpYPs/KaQvggUyzSra339Hd3c+ 0OdILbm9uR3ctnfLJUuyLQxhHcTikIEX1Fzagl8vn+bPP/i41gAVjcY9ajeXdbDFFcIhvZnB/JIt WyaIHN4urs5pbXEzfl6VUJqVtHf0hkoe5SgAL9u6KMNwEjPNjh1ScN1DrentHGlnkqhNUI6Kzwxs ZnCbyD/ZLKsqypKMlpc26Ormgrr9U1qd78iA1bOGrHL+koUuCQ7KoSFu38kpy8wMxeTE9xNK0pTS XFZ2/aYHDrKEMtxL6gd/WbGxuMjcDTqUt4uUslwP6PzCnLbW7lOZFmw38y0esOEZpKIsbVKaWVlk tbRyZVlOKf/QgyFi5ieUlBPK81x2iWh8oH6Z1IFN8NrgxPmUKsoTtK0OYps8wRizDrT+Cp8TTvI0 Teno5NhPEO0rfOfk9IROz06p3fwxLgN+no/p+OSUzWd78vLKMq2srDjr5c27H9l64EM6+i8t6Ozy iF6/a8tiy5/WbGs/22Qwq3UbfEHsfGciuXv6u+AAJkMDq0rB3Q80iE2CcqIHJDQy5oqslLb9us50 A0zvl3Y/3kFgnqRlzs/HPTHnMAHFPIINi+Jh51lbWKOjkyMaZwNqNRf4Hps1uqX6cldqtshf/ZqM pmpe4Z1qWioCk8H0wfNqKBbahp/J5cT98IU4BzW0rJhAsjLKuQIzfbZdeELhTKhmjdXdLuycuGf1 sMkupqAMNFc3NYn4qWVCGVCdQts6apgpZTxs1LSsDx9+H+oGgwo7lZhYaSXl5LpF4wMtjV1YTMQZ 01RNVzvncV34RkpbG1t0cbHJJtHMmEuHlFRNenD3SWx6siU75T54fP+D4MyDxaWgfu9KPi+xARDl L19/Gy/GGdFg2KNWc5ELE8OG6KcRm1gMfVIM814P+3TWOo0aQE4dBR+ABHnAwNXzjZ5zbKvDKoLz D8w8bijejtHIOkEyPYgDJYnKBNRIkR4+4MsxHYNlZ2ubzi6O2XRJE0DARJtbW3TePaXGQpPPNDJL 7ZmKOmFHwnkHf8Fp1QEL6ZRBB0F84nWyTFFjoErB83gXwlCQcpZlEeIMci/Br6bufMVtq4dc/g3a kWEbOa/gmaWWk+/VTEG8Dc/EvdBsQZ2LCqijlMh2FqtFwr/B/SZRGZ4npbNhnuE+n81qJjgja9wP sjuz1Yy6MwrHKE9ktjE6qO2MemAixc8T9I5/b2AGH+zlrCf1caXTttadJkO7TCjDYSy8+AyNcSYT k60kRcawi/Dnup3mTx9/VPtxSTc3PcaBHSYddORoekXNXP0gPDiJsjKhMp3QxdUFrS3Bh2Erp65+ yYT2j9+JXY+K8YEcyAQqK2aamZ4O4LCVk3cPaXBGBK0FwiLzdwRCtglix817u/fpsntOwzFw/URQ qSql1eV1+uGHb8UQ4TIF5pwOaH4mTLXgfTxA1fTN1JSTg6PsgPDlUIGzTbBMCDrpMHyp/y0AS1lS ht9rWewMwms70C97ppUVoIY9T9uhtjZpm1pZ1N7X7wvUXSsEvy+lLMUujXfGuyAGJsoo9Yv9TdIu PCP8gA3Ol7ww8sD2g4r9INrGModv71urI+6eXp7SxeUpz4yj00Nq5O1aFRKqshGdnl7Qnd1Hcrat +YcYeTV4zc6cRSUnivAMUt8ieRuWpc/fCs0ZnB0Es3KOJV7B+e82aFMgv6QU9EZmLKBM9K+YGTII 1IGnZotss4ZVA1pWhISRHLXF3YVamdlijsKgC6omzTWXeVu9ue7Tu/23bHtOSxy0KypLGDaypdqF 8iQADNSckD0p7DjxE8lEF4SKkRDeOawO3jyRXRI1VCCBzcRgYCUYeHDMiWkmDj1rFwZrZ9rFo0T4 Pp7XiCczA0KoQ/08JGcH1I8diFpjO6ozCgnzKsEzYxOLJzoQvwCpitsFzxGQRYYHTGvZCcQMRDvH jkK8j9taETm3l3EVMeFSVw58e2Nlk9ZX17nPp5MhPXn0Ii6DOgpb6XvKyoabWL4OmHBhu2D8wJFK wTiSMuZv9l5G1cP2MpkMqMEHcdvO/TVNhpRSkw8xNgxhPZUwsUbX1G1eBKsOBg0KNKUC2zLQLDal YIYIHGxjRFx4MD+m6iW1s4xUD5semxNUUhohTjL48GwcWG/z7gL3xovRZXNzi7SysUDtfIlW11bp d7/9V2qkDSpoErcDzJcUZYYZpUtxcOWNTMwshafNDGPkLMUWDlMpLISCBriXwh73dTeHA5suQHLY 9AnbBTsT2gVlCRaOyj+P24xNvnLGlOBnRg44gfL5mdyWAonLXWERyP+KAE5Xbw33nf6W+7lugqM8 U2UfyN0ihYWB+onDODIDFS2UtsZZVRZb/1x5H9qGxw6bluZuwHdhHnlzS/pbvi9mFJyx8XrK9/V9 Uj8xsdAWri11k8gf33sWNICgUaCatI1qUrvGRY/yfI5Sh2IJAlUmZmJtzh5qk4LeH78RfFp9IDg6 G9QaNL+aBLbtWZlkJRUsXbfoEHXiA63+1nwSQZ1k/JXsP0nTnIppRSO6oR/fntP1qA+fshws4652 pkgNx3H/9Bi/2YjqnrTf1XdnNRfFwx4iZwLpwunF/eKQIzMrzB/iB5Xb47ne8jweXEG7CD7ozSxX fm5emE/hc2yvkj8uS8YdG3akomBWdoNko2+wiQUTjM8XCqNbvWVnrCGCvFhav5vnzN82E9G5zeyO mmY/vP5WBnhV0cbGBm2sbSiVSDz6zukZFtLGSzBO+Pml9o3+IK97yg36dM+r7SC821l3u/fqIdt9 jpXcEArhd5l5BT9IxigNdid1lqmjSlZirBAwGbLIAYcHLS8sU/fyitZXNiPYVUw0PEu3TN5F/NCW 7RT/3mLU597mB0TZlL755itaaq/qb2P+mBgimd/2a3as+Fz41KlNnIrpweZgvE37LrCyqNkWDC4+ 0xAOxbJDCIhlk01MT1mwzHFmTAFBmrwzMCgjv8cckzIb5NQijkjpzGBHspJWhaBYFeNG8WBmUxnm jvRP3X9q5h7awoxAWbjEfy99GZtYcMoZshdxsRTikT6VBcwmCzA/oYnk9IzP0b5/uFzlVOrPbSdw fVhG7iNtF+47HgPiDuC2VtMzf/c+NLE8itVuLgY7gS9yAfgMcKQ+gAEyIBZZQf1Bj657XTVR1Cmq 21gxmVKSTejg+JCWlheolYKuIpWGV16mJRu4VBGcV3g+KgcEQw55c4tzdLb3nlaXAQSE/abIEJtm 4eFRLjaTYLYU2JbF4/+73/0bffTiC/r2+9+xcZEG3n+b7GzSKSkOUHWeCbAgY0vRFaBR4alnhovl W9BzsYQXFiEv+B9sVd1hPUdNFx88LyMqpjDdhCxUOXNBzBfxQMQmluNOuXVX/gcz7qJ7TvNtIeVF +ySbQrJAh6wIKYfwsPDeyDfk2lrRygjtv42LpfXjZpO6C1fvFqce6m7cq5CLhS/gN2y2BSaWQseM 0kXMDLNIMFa0HOx3UvST0TJpUzuH5/fvmImlhUoVxWqvKHYengVKGhV9auXzfKiye9gVynRMF70L WoWJZd7IfEi93hUtL4HeISjB9uYdHiC/+91v6Vef/5N81zyoVUKryx369vuv6MNnn/rGCAABppnM dExGjx99QKenJ7S5cUdXhXB1xuquRwldQX/5xT+z+YAdlb3pdTqCImK6t8kRFlwivT+djrVN7VBp cK78H75721UWYvbUyY9yXhPPP3Yn2UHkuYaoWd0DlpkMUkXwzBzxdRAoWFrOPPPiyIQn/Pz8gu5t g+2qbWvlSIjev3tHD+89nWlr9MfF5SUtLawFXnB/cd2Y2yblFi6WLg9ch7rNqo5jI23e5hVXa8oj nGKGSlPrxKmVQdbakDQZTiArj7nydEHHAqr9Zs/MHYtVH8AdxAxXrYnNPj0vhGxOfbZDtPjA40iD OjOx1SrPydmntu3qp6H9j+9iwokJQ64T5NE4xMWmiz23mAIFymWrdgc9u69easd/Mt4RbH6h3N/2 TDGVxCSwA7ez5JX6IvcM0sS2L5yj28qJh/AWzvdqB1x+ASiEci/kYgkiJM433j3cuUeGdTEuAkQm qHeCBWdVB5UiYzzaANPmgqi5s543scaTa3p0/5GaYPGAxdliNBAazSxvyswXMQdtytl5JTL3ai3t HYw1YIj7XR2h1k7c3mIiOe5XrfcAFIkZZQ7ZCIp1iKiUhw9C/jfOnCXK9+CfYMy1pKPjA9reuktV OaGULqx8vL2dnZ3R+npHJgdXRsuflNS/7tPiwhKVRUE310Nx8FUZm2NLc6uem6NLgLFu5XwRnL6s TRxnx75vsJ/RrA15saukn96+occP4Rk1T3/YXvo7fqbCyYKv6GdALTxub4WNyll7pudpeZNMUEkz kXRXjDotoeWVBT2MB+aQo/QrH4nNJ1vxZdFZXl4M2Ao2QdSkc+U0h6CvitBy0F521pAyp2lFq2tL AWPCOiihNE/o8Giftjv3nanh3Rraf86yuKVdbuViBWWM+s52obDNvD/H2sWeKX2nrG4urj0zvHR5 4bZRh2zYLs70xPt8S7l+5naU7+Z3t+7rzYwuz87o7ubD2ZdlQxrejOkutuPabAQ0dnC4T3e27+tM ZgYQdwoCYa5wJql1GrzFNuwFfrROt/sVmyA8jHUHs/9n25H7MnxmQkVpEKfGg9g+q4NWS6VjwJsk BdtYwZ4qo5wHMXOJYP+aueT2eKVa62JmO6nVA840xv3DgcefqUXv+GjhBII/RgcrbGEzjdQTvbi8 5Bfsqs5B01gKduz5J3KshTufBwOvrNgHtLa+pmdwRbF4W0zZgnh/8J62OnfVcx8AgrDfNYbD042C WnB5S8oTxKiEHAOx+4XtTbOhCsqo8GRFazo9F9jO71gG5hhQh2pUCDlPCIpmNpk3gw3F8pMd9Rdm CLgM7EpQwi1sEv2RfnEGm7RDkzZIUEj3u/C+2w1waFT0wTmjpGw5HGZsZ6utHbyODY3KTA01fdjJ pFsttv3geTKIKsoqxGYoE7hGkMHnRgs3UNxY02KW4YwSb9NiJMk9vh+3ivK+7E862FA3/I5BjJmI wor6l1eU3BGzAAzksA45oQ7KVzKeGxMt4dQzU7XGxeK2FD4ZnHDsDdYLQUY3vQFtrvp2kQZP+R6b UEbzd+YP/1LqQEBz6pR9cLEayrqe9TmxqaS/YyO7xsVi52QwnGU/EKTK+ig8U7DJyma3mlhcTg2I grPA8doCVJOHH7PstH/iMcan0CBUQCB9CSdgHl2IYonDR8ha4pAZ185QWMXHVKQT9nUEhwdpV3Y2 TTikUjoQ25M5+zD7A/NFhy7mKOIw5b3xjstzmnlVUitGI+wrjEoYpyssg3B12PEj20HUaeLsU5TL Drba+OzY4xiV2mFUdyuHdtSe6bhRypWSCSBnN+YVaVxIiB7xumco14xZoBwuOMt0HvsoWOWoKQdL nHqBGcFcLNShjgApx8naxfxFtuuwUyw0lQyur6izu8XlmVkvU6Lt3U0t/yxXT8oDFEug1QgN/Bku lpRTEbL6+7R+IRdLUDFdkHkcKXXH9R2IAIZI1Znf5qi2s7S0vQRZWd+hD3QHSUuEd6KjU0qmWPkQ IRZg/rAE4IUuGpRila7NRkpzysoWpdOmrrvorIxSniQTXRHiMEoObmSEQSvNH0e2gZLkbIDJaJFA KeVzhS2CDijEc+2j6uIVxQK2bKs1TwnKIWZ2raNL4w1FHhf/PXaGyT9hp5vTk4kTKIvuCmE7OuDA HGa1haEqsDo7N6k8j+trA8BMEB3Q6lQVnpZwuaJQHG6XiW8XH3jjLIOk7sdiJDqhne1tLk+K0Ouw XSo5I0lrhG1tB3Ith5Ip5bNEQpsrkDRjM1AQTx0LyuEyI8raylC6oBDeDNXfxr2kwDvGkJpSUR14 x7IF2JyXJSOM5uS1sufOxscAsgNZ+EDGwzH7Yzgz7Fhh08qBkpmjSgsxmFb4N77T0sChZBFd0SvZ gQg6ixQ/CX/DZhk4R2Erw68g4a+xaIO9MkAntA6yUQt1mx1VNc4Ru44q8J+Mi+WtaekEMR15ZXZb iKzuOcpS42LZ4BbT8ue4WC1BfxSJoxmOmjknQ9RJTBrhjTVjeBm+kSRsF5ucP8fFkkHPh2BM1hT3 4wkiEzGOGowXVJRHCKG2+4kUQaX9IPfiwQwzCuVDe4ewPi4xscTBar8gb4ayqReLeDAuxigdnncb F4v085CL1RBTNnS68hmETSdhy05JTaXaiiBm2FjRIxsqdgDWezC/jIrNKxVMI4gKwLyZzvKmNHQ3 qpWtpMoTck5/tWPB3Lx7/05EwZYyyG84eKi8bds3PpKgJI4tkJS0udVh03GWaOK5WBIhWUNrmBY9 VYKiIk61utURfT7AOjp/vQ7Y8kN+UEAVZ/NQzNZo1ea+KTlas8oxqEM+mRezsHbh84Cyl8XUs76R HYmXSv2O/K9iS8D3nZk81nfBDqnXYHIjnDiLvQcwoVwsMWlqXCx16llbi48/NBMDLpY+T9aOhEbT Pi0uLwR18OV0XKyg/K5vA64Wny4ZdRWlF+GZ+V0yh2mEgQMUKyublBUwleI5h4ekJVYiMbEiFILZ mnJPfALoAChkYGtHYEqMlcu/ajyEmiHRZsAPlSHsQ3fFbl5YmKfu5TltrGzFIaI6oHhtNV9MYLbJ aqw8Iz382uq7s73FghOUxCslVtrlpUVxIgaxEm510+eZGSQvUg4ST+B6Q5lpIeQ6NlXS+BAPJE46 zMonv8EO7squh2z3o0QiDSuasN0ccrE4Th+QcsiJsmGNd/FSazaud67aLpLO8Kz8ecz1XeRfEPNK zB55itBBsHug3oxPupAB6Wrx6jN72qJI3Xs1tJafie/JS0zTYDS8pt3duwFtPSgKt5MuNrVzjfHR PW6qY4z5etZ3gYnlaA3Oh+OfKM/3MKu2tK9gyANzKFrQcPyFMD5EOEIZBqRyrOLgCKOEm6NQJVoq oqX5ZXr37h2tL5uZ4QthDr2Kt+r4ICjmhW6bOhi4i7G6lC1KeGcMvw/xiJSWFlbFBDH0yOpYEbOB RUQBUXx64GcuFHhMSk23fYnHp3jzQfIUCnozMKulTLmaWMqtEa4aTF+jzzPSZkiW7Kxgp2RmBobl tHowjV9/G4g2gFpflYMgkjKGpIWRndS0AWwgGWU/+I2zjKSs4oTE5A65WNoPznmnUAMmAPoN1HTH xTILBqantJmYsjZmMJhDjlrtpAjk0kISag56lAVInJhXQNYwHsRkk77T0AFMEFBEhLMD+vaIRCcr bGPQgMccwoj7syiD6GGVKQQFFF2oNOIsw1kEPo94mxNEw2PQNWScsWhxmpmJpXHISpOvx2Y45ESd YjI5g21cqdFyT5pQ7HDPVYpMHt41EkaUUHZug/iNHlUCSqdhm9IJglKxqWS7mC46svWb/hOeHT5V oyKN+xREWuLPNK4cd1sRM2sXMfF8DLiMPjVXnbPQfE9m0gXvCydAGoonFbW2FhxSHIJx5I3rC36u hAnoHutRLKOX26KsYwZcLG/yhPu1IpqMXBq3io0/ajQbdHV9SUvzKn5XGxPcfw4p9aZp1O/KDjFx BTFnJUQ8QLGwnSZEMLfKdm0VwgqWUlq0GeGKmJEoazplPay0aLmtkxHqBJj8SGZqbQLg+VOQ7vjf zattFVM2puNHqefUBswtXCy8t5hKo9c5Ve6Vzowwlqz9F8ps5y5/wfaXQ+astSQ7kAwho7H4Z+OI JATGGc5YgCA5x5crYqXOThU6C97NZTEqffRME9YzlCd+I1bmVktQSTkPeDyEQ1bZlPO7gM1nMz+S mScqcqTiGcYojtta+nI6RdwOJoZH8FAe9FOseiMh2TDNYEoJxhCfQfBhUUjQnCwKMslarQV6+eor evF09ZYimCIMUYH+cHawuBFgBjOiFhByWaWmDBAtNrGkKXmLYex3RsRBPMOys9UV6sz8ClRK9IDO YCHbwDVtJXUS5plFltX4Q0pdN2EGDSrVbVoFGGZ4U7I1+mi8WNNLODcexXLdys41MxnqDjEVCHCI Rt0exxZuqJpSPvjdiIEOo/+i5lIKtiFcQb1xluPfpTNcLNF/sud5LpbY9kK9d1Ty4MIZo5FhUVOa vBs45ig0MyqcChLhJwtTeksdAmGFW2ShzMTKM21rjuXB5AR9KeO2qQ8iifHJpA9dzL1dKnMHNM4g 7iRoF6cxFj9R2lCciBCzi9taUC4x3WT88dM04hMBgRKKoSgWR55hHicj4v8OVzZ2uI7ZgUgwx9wh yla5Cd8HkuXRHmGmAh1iR2HkFDMiYcDFugV1ivWWFC2JOFUB8lVVtL6+Sjc3fVqYU1mXCBkwJ1gY NReUxfhYtWaOuVgxzCsmElZh77STsSarm23fUUH5skNgjd/lOFzyTA1bckCAK4v1sEOVdJWtcYic 38WZkAHwwvPBzCvjYgXnCceNKmd3iLDv3HdDUMeeGZpuIV8sHPz2Xq278aYi8zjkcNlvtE3suxG/ S6yS+J2B2Vb9HBeL4vGlj8sFB4djDygWpF5quDfmIcvqNBSpCh5INuFxrzHDxcoqmF2DGucIv4Zo GcwJPdzW+kDO7sKHYQhafQIxjz8+jK5trNLRyQktLCyptRHEQKhnW7hYhgSpDQ8KO/dThJQLmmGE VRMhCAAMx0fiM60iTOzAAiPaoMJwZZNFxRRIQFas29piYilHy0wZ6AgYp8jxpqxnxEvNQnRqy4f0 L95sSqGBAAAgAElEQVT5+SwtbF8b4HjUtCpZwLm1rdKzwS4iSihY9MR3EdUASiGI74GJAlg5HJcA DRrgYIFWktB4ikUVQn8oy5QmpWgPh05e1t1KJzStCprAqVnVF0dhOthuxF/XsSDnVdUsDn6BvhOW QEWTYhQ4WuVi8b7JhCZTeZ+c3VDuCU2KMY0gmK0+rL8ZF4vPDWyQI8qn5oRLKmoAsWG+Uvw6fiSr JCq9m99nXuMs4GLVUIuioIyjfGYlOD998Tld3/RpsTkX2Or6XKbf1516auYx/0l4UPVi5hWCxpTu ridfMT3QqI2f4WJhoREFSDjvYudVRQ2OeDTEScNaHRcLn9f1wmTAF2OlkqvSjF1ZOqWriyvqrOyq eWn9w8YOXXX71Lij2rrq2OMJkk7oh5ev6OmTj9VpG3UO3fROaGW+STm847V2aWYtNVMyaueZqN5w vNCEGmmTRQejvuNzSkZ50qBmJg7W6Jm8sBmPzpYF42KpyiYLcwfwNg/bKY8hMTFr5UynXE78Od0F vDfJuYwtlDHkYsl2i8pg5QMXK3ggb+EFN5p8l2YRIg52n2hcB9ASFS3AeDUEKTp4QQMK6Jfg5j52 Q7ZP3v4QYSbUV70v/hSHENmSoCp7KgEhK0fBhm9cRg3+l2KI99SZJ5mwgSX0VmgLwgqQHUy2/tgW L3A2g0OMQSw9b6n+FBtR2ujCPRJIUtAvLaNTuab48Kg7T6geCSmhW7lYurgliOqxeJxoIJSUNMRr Ls8LQghSovY81OgNFdMAIkg7TUb0wfMPKCms7cO2LKl306Md5e85lEgvx/GygCaNF5Lyy24ejH7V C9MIRmMdR+8U5FK4bXZakPfwOOV1dHaVNR6dOJ7rFoyPwhR/jqBiEkkp+mSOiwUelShGZJyzQtTZ Q00nkctPilCOJ6wiUKwmpZx7Q2KEwUvN4JUvoTMrzsP4Nxn96pf/QL//w7/Q55/+MnAcyaB58eEn 9Ic//Dt9+smvFLEQux6PeXB/l3589QM9ffI06FiJH19bX6Wjw59od/t+bWVLaX6uTZeXp7S2jIhH ryjSyKByPqHh9JLm8hXHEESJlheX6WZ0RfPNpRlbfLuzTZcXx6z5C3NCzo9yiHzy6AntH76lrbsd +pd/+Rf68OnHtLW2wz4BMZG0PjW5za0OBC/kPOR8SYy4eeE3PpinKfO9xkOcDSsaj4c0Ht/oqhcE wDH5r6LBoM+ruphagpKJZCnRyNIXmIgze6gHVJQSeR4qNeLfRpNrWpxvc9oDr3qj56WkpPFoSMPB gFd984ahfbCITiYjGg6u48WGTcMxTSZjLgsCyqCa7xcPLHhT9c1oXL2LGBX+moyv0Gyz0sp5L1ST d7C7OarVZEW5YWLB9MK/JzB32Q+igxc/f/Ycgy58mKJYZUUb62szXlD7pnGxhBgmByaLBS5voadb oUU6s3ULQqRmGjv9zMuDd+N8pL4Y5ghJFYVcUtHx/gndvXNf7wWohY54MVkarOItDiRpVNZnLcfi NHQOKnSshL8KIS2uA2/qds/oJrB1meYNp11Oh4fHdG/3MW2tPKBkqvpeakKB+BnRuqmiuzsP1cMt zi0GB3kFVLNM0TYxLnKaa7Z4JVxeWKVWAzJNxoKwh5a0OL9C8+2FKAyAvf00pbXlDrWbCwEDWmrf arbox9ff0QePP1KBBn+1W22OYESCJa9hpdJHyYTyZI7moUHmYGPkc0moyCbUzNs014KDNeZilTSi Zop7KKcnOdoEYUlW5VTFiBvOzqDex8gY7zDMIDAuXS10jdEqOTMbFwvtAAupkbWlTTjhkKY/ENND +TCOi+UHMyZRmcMZCHmc2oHWcbGMD2MzFybbIAhY8U0in83S0u0ajwe0u3tP3h4iZgbU2wi2HBT8 ga4WtTg+GyghYsLbqYINDptyyI6UDZPeBLVdsFHUKipAZv/Nu5j8s8iGtHf8Ha2trdPu+kMVEJBF 48UnL6jf79HSfI0ly8uPOlgVlWFz0nwIDnWx9jDBPhLAg9mtogvmnsl5VYyj5k/vTO9PiQPdVhE0 xcCMmpYKknW2Opx4iIpQelTM30YbphX6W3YJ4W6lMn4cD0+GKpvTfM7wTr7I3FaTB2inCE/UzXGh pnMdFNy1z8WEm41SlM9Dvt+sE5HHtHufRnOmBb345EMajq5promJXFEOGrvEcaSUFWA01lYhXh0K SqcNyhnFCre/kItlLE1/CGbsuhrRX3oV5Zg2NjpeYyhEZkBPr2ut/n/g8tOyoqurHu3s3qE8bdMK FFj4ljoyIRrHxY9NLH4Gn5B1d7XzBU86QVpc7pQakghTlhUdGT0MB19BWaZ+hgC9m4ynNJ6MaDQa Uv+mq6npvCMRAwaSSJ9++guH5rh3JVMaDG5Eosh5TuT/i3REw2GfrgdXbqW3AOesJQo3KJNF63EZ dcFFqgaL55+JKGRzx86BZjJZIiJw2sJMAGYWSnvJIlZbMrltUY7QGezlYN0zxcTysQAqnh6vltof LCxtjREjrNGBXkTHRHiaJeXpZtajzHk0JoHpFDSYa3K7F4QxUEXd7iU9fvxEP1R7m7dQXXsM/QnL KNiMdXGNEBf4Wew9Wg8HKd7uF/eOCIeKyZtWFzp01e9S2ijp9cE3dHVxTa10gV588jFNEUXI9Pog R6E9rIRZAM6RcpVcxwmdXaIePd1dTDCco4AMQZLI63ThYgSKkTjwxTQMgPWJc2o0xNxZgt+IWRBy UJU6ltRqzjP3zThJvr/BX6toYR6qN5ruQcOJkZ5vrnWtvijvW2FhQfQ30/hRlsDEUgV7jjVi5C/M aoaroIxzWWJxNsvD4Ho4A8Epq6GaKvAh7ShoaPxMvA+mGXZAUchn1wQzQ4RCX5m6Ow9UppYj9hzY dy1noWohMU+L+VYxg5Mp38zFQkIVVUNhUTRZLd4f7dFlr1cbVTBhJnTeO6W3ez/GPg2YWCqQ7WM0 PIu1d3PGB+c7O/f8xHJyplJGDztbp+JvovehuVUPVsJ2O2LBY5knKniXEL07ektZJinnwgsHz6vB GV1eX7KPCIMOrFqrSq93SZ3OFuX5Ms1vLXP5vvzqX2k0uaG1lQ49uQ9AoIbfpyUdHR7QzvYDPicY +sLlUUlMlw7BPgNapJi/ZjsJhlZFV9ddWl+Hjq3xpqzBNESAHZPK0zKlGsgPWY7CKqSSWyiCN11m y6giC84HJdEJoQ/LB9AJQieoklD6JeSubmJJlKr8yhLnqMM15K+5QSs8OzNL6yY3m3RGhXfSVvJM d0+laHN0LmBKzO0pryQWUWjVRsALbNgWJUWLD0Wha48PpYgoVJq8dIM4Cl++ekUfPf9ED491h9mY ri4v6cH9x96Jpfevx5dyYNP0JdJRsMcTOu/N0/rqmqdPOOW8kiMbuYy3rM4wy7gOMAd1JfV1RHDU HJsawvySe8Dj7u0+oFYTCVVC01Mg0Yv+PK2srImJqfJU9tjReEKdzi47X4UrldHW6kNOuvnjT1/T 9eicFpueZCdnmpQOjw5peXFDE78obTwluhp0WVCaCpEgskmMBQ+C3L0mAsyaMwPBjL+I/aS5DQeD AfV6XY0iNdIo9pGSE3/2ut1a38hicnC8T3e2hJXrvf1CAhyNbqh3BfFAoXfkzQYttObke6x9FWGk LuEmU9Mjky14p+qRWTyIkUAtY1f9Vz5iyf5Ze6LT6go1xsJITv8b5WIZuhx7i6UCfj2W+OuQVuCJ Yf5jbyQJsTB+Ht9TXdQXH37EgfWxLx3bn4jROf0q/ndpQL5ndHh9r+1pbAK6WJDYjrV3uE8Du9Al ANUAJWOpitCfQMhxt6nJpU5v7ioB8d1zsQpL6hFPjeAOnjZpcX6R9g/e0/OH6xpDI+akJcmBhJLk K5TFBv8/116g/aOf6OGdp9EExzsG4wGtLK8xTB83dMm5GUVH2XKHCGcO5td8e5FWlvA7RRJdKK2g OivLazOiDbgODt7R0vKKnDutMRWMGQ6vaQnPVP6aVN9CnFVgodaS6EuRSTVdrGABBt2d7wky6YL5 VDLUqeXPPNMENcwZHR4bPE/LKO9eTsgSNDkuFpx/5kiDuRVzscRxKyrZ4GOJlRr4NVhdHJwruO01 1BZbKOjL2YRe/fT97MpWlXQz6lOjmVEjWahbWDQur13YKmDFZqtF19d9bpSLqxO6vEKSnozWVjdo ZWXV0zJyqMiPmUXqt3HF9znhDej8Y3/msOnL2/+E6RWymIgYnKhDFjStxlDYi64iKendwWs2E7EL a2+6+0jag+i6BrUZSZIFyFTEhzQYDei//9v/RU8ffshqknPt+YCfJR0lwJOYEo08Y2q3oFUh/lbn K8UoluMX6XkvXmmNo6b8OcesDsqRxPXmLuexEzAoHFIZaGZF58Dqz9DF0iCm+hnYyu8o8v77Tpqm 5mez86uvQ82eMKerK2fACXRUpjLmYmF7Z3oEMyrjVmGJFJgffFCKfQxMFQ+4WC4evBqz6fHBAyS4 j+nN+M5v//Cv9MmHXyjeHFfwetylecbZJeknBkpnTaRZlnoLPDFkJYKtoFskbOlpg+V/SM0of8FW hxnZFqZmoOoozSLOzixtOyK7MX2pGFEOCOYWP8iDnce0wuYenmmdJQOl2WjQnTv3ZVU3mBnPTKFJ dUNXvT6tPkc+x5K++fE3lGRNWl/eouXVFTq/vFBUKW6Xq+senV9IBi+rHVvw5YRevXlFG6ubNcde Rb3rLp11T5xPKcwF2L/p0fnlGfeTrPYmll3S9aBPZ5d4V20HqcBvmtJ591J3zXjw9a6h/n/K1BGA v61Wmxbbc85LLSkw4ohCTkjqMlOFC41Aw1OOyTFGuZ6mNDaGYz5cRihXRAmd5Q3JSKPxpGM9LvZZ KPdLUgi40G3LOKY5CoO/W/0WIaO1NmNv5WLV+Du3SHBGiWDq901V3IU4mhV9y3e1Id37byuj3vMr phg80pgC6VWcrkuhQ3VfyRWIpN1aJ2/DxlU0X4vVRe3cqqCjo2O6swuHJt6T07OHX9DXP/yBRvN9 evzkMaXFvCA/tTquzK/SxmqHi8OgCuc8TGglXaE3b9/S+pIkJvWFqKjf7dEG2AO8sMXqH8fzR7S+ 2tHzo0aoqAWwMLdEHUy4W3I3Hh0d0PrKOi+o9QMwcsvgd1hURX/AFmV1os449cSLwlGRmnM+Gn1J Kdw2XqQN3LVHpHzGA8uj7ijk8yvOa7dw82Bh8Ptwn+VcJZ+lkBoR+wR+lyMryuxk6C0TUypeFLCC lz6onjNMeeqxJWHxXCzd1jKgCBP64cdv1AZ2/czvOznfp5c/LrhsouEXhuU1k8wEObLDk0BxQI66 V2v0EId7FpAyMwlcJvDFMOAnNTOQ6NvvvqIXLz5kYQNP4ZDe+82//4aKakT/+Kv/PYhwVPXDDHn+ EMsQr1JQpC8UwRPGuDrClH7BiVsyiWA8OTmkq6trXaim1L3u0s0ASYoatLoKdfWUHtx9RO8OX9J5 94ymo5I+ff45NRvzDPEKooISoH/s0GoctlBrS00vXVPYtGOOk+RV0ZI7RMt+Z4xpg3lZjR+O4yQ2 G7XLZTw4GvltHCg/EcU9oPpcrszRcFAUUadvnbcXKDJKDKaQQ00kI9aM87+DLpYkXIqZvO6ZTkvM tNwUzXJOWd1BmMJuwmJTuPNj0QZpMKBYJi2DwR6YG4wONXQVMl0sydMH8+Lp02e3ZEqtqNu/oA8+ eO7SKITFvxn3aK41r7HkgUYtpXTaPWRTgk0sM6+UByRmnsQ2R6GgFTwybaIpDl9AqoJJQBX9+pf/ jYaTLptZUgKv5ojfpJkdEoNqJ0Tjm4KqxSbj9NGZhnljTTb5sDjsbNyjrY5SYpKCvvr+K/rg8TNP h9dFY/+oTZ89/YIH9r9//X9TZ/UOzbfWVeljStfXV3R6eiRnPf0hmLKgcVxdXdLp2VHckklFvd4F dXsrtMYpI7waHaL3rvvyvBDFMmGH4eBG3xXHpGdIKa2H8cEVYoDi5a13eUE5krxWIj2K34HujsUE DILpdESNRnAmVbIpwrS5DyMTSxZGEXsQT7r42sifjzgZau1coxoBwmmLdbjkoSIsIanY/MIhfLJQ 3KMCm7d+2PJFk3d5RyLnJ6zlzdbyBLpYGietlpShFNHgUn6NnF3qubYlBkG0r0xu0qP4kyGw69vE BKIWuPUjE38ICCJ6GLdVSpxe4kHQjlfZq7osECzjm8E15ygXSDY0TyEHVKqjziM5XGbOpqSRcAFC hIG4uggJoinRtE3/+Mn/Sa/3fqAff/oj/fOv/g++f3x6QJ31HTW/ZKRkVUXTdEL9qyHfCwFd9C3A jbWldeYruUhLluwFWrZCmxs7HC4t9r5GWFJJi3Nv+d6MzCuVdHj0nvOKLDaxEMUH+Wkp5ZC0ELKD sCIRJnEflgGo5CEXS54pooSiixXH6gsfLuRiOWiWKfqm3RX47ngOGBfLnhnUgR3AntsmEZRIwS0y mbEuFhwwmp455mLpI/nAIyYDEKKMHY5BMBInp4HZAgRMzYsAxfrm5R9jJ5uC90dne/TdK8S5x/QI 3J9UA/a3SJYj62yiufk5Gk8HVKYdSiMhCN3GMzH1vMixTXJB6Ao4M+3bEWoLOgOQOATXwEzQ/OQ8 n8aUZk2NlQ5/g3UebNqRTBJuKNBIwEGb0rQaiVRrbp2Dd4hJWhIEMGB+xVKb23c3qCiuKc9liDx8 8ICuR5d0cX1Oq/MbXudKAU8ZPiYEUY981MOoSpqmCCJyGLSfQCZSID2uGsNm1pBFTIbDNXQWzvLp JuVY01xXgS6WiT3cxsUSk91rbdkzqxlZ2ToXy+7/x1ysOsIV1lu4WIawSX5IM6/UxGKaOmsBgUJd 52KpmYXVEPeYsxMjRKLQJ7KkMhuxg8BVP+XDzvPnQLHq8pVTur65pg+ffSKBQPFduhl1qa0MVDOD eZdJCtrbf0uNqq3xFUEzg1xY5MwnE75YeLeirMgphxmIlcqZWL7b82IoKoRORsLyDAIVg7yqrVLW cQU1qpby09QZqELLyMsN8xJtZod051dBhB212VwFtRuReUhFwN2EMjKtRIQz4MXGWez1m5d0Z3PA 6ayPj/cjnhPMl2k2oW73jA6bOLOEtJ2CfzN31JYduUYL7+F5R/uOUW0wL0+QakzX11267sdcupWV JYZ52Rxyocz+PhILYQdleoyyfGUDxeATlZgwCEssDeFicfvJgPMPxEBmM0pNJTafZBuUb91Cd9dw ArQr3jkj5KGTwHOxBJgwrhu/6zYulkn6B6XzMvF2z2wnK4x6de3rMtx0VVbBtXoBcY75xee/5hiG Vr44AwOLYWZqIToJFaqdm1vg9Amcolhqq2aTr0N4/LBOwK5gPDNp2Dju2fHQQg2lcGNzz0tmczm6 e+L0xH+CJCiwgjBfOWYEKQGSigbjS7oe9mhwfUOdjW3lJlV0cLhHG50OdS9OWMWjs7lBbaaAN+jO 9gNWltzZuqc6Tjqk+QwypuHNhHa279ao5ETD4Yi2t+4olBv378X5hTyPTSwprflB9g7eswm2WGMd szd8CtNRFN7DUHe5b5C/iTboxGNpAjnDxlwsq0frZ7hYMMeVDKtoprR5Sr2rU/rw6RcsVBiXURZ1 RqL4mTUuFuuf5wEXy3IUqmO8CLhYbB5hO8JbM6RLjrlYNoCA1jAXqza4GAVLR8xzcjwaEMUQEYgD 6be/j1Es21ZZtnMi9I/aKWpYXFOrOUcff/hxuGY7AQmUxR+ubHJWVGZKybdWCq4CZk0GxKmeRVUX CPwWKa4ZpdNaMmIt6vUWuGV0EsZxspG+z2Q4ZVIDyoWDsWqMaDqF4iGeBeG4MfsWHtx5QvOtFVpo rUn9lF91D/EgVUKtjQU+702mY1pb3KRqccpedOzKw0mfmjkE5mRHMHPCzIJQMwwLy/2Hd+no5JC2 OddH3bpH3TQgyUQj1ASFW7XiwokpK2arLTZgapmJG7ezSKSidUwGVUXwsoLmF1uO/+TbX1TVfRro MKuImMfGQzO+hJ3BkFToh5ff0rMPkMQzuDgCU6VHXXBcOIsDKrzjD8IBWtLv//glffbp52xy48pl ZkKYIWWEAaLRMwceRrHAc4IJogczu6D8johCbNNOlVNMLKwIn7z4KFC+8+45nAmmkwE108Waqgao E5catCIi1YI2KCKCz9h0icWfOQKwtU6D/oQW4JUO65BUtL60SeObiloN1EHYp1YWtrWnTUpzxFML hMtdh3hwjnlmzmxkTSAJJztPVXI13LY4bwVMOY7CRHl59aGLi0NqNhu0srKleL8R6QxWNkRORmIj a1JzQRGyqkvPHq0zq2Bv760iZ2JoXY/7rDd1cHgQ8x+Tig6P39H29h06ONiPbHtcve4l7b9/L2Ic wU6NtgbCdbD/PlLFXFpcosWlRUefF2suniAy9GHbSw5LCVcWk6Z/c00Qeo3WX2Ne2J5Yh5y4KRTg VQgeu7D1IdgPLpeKm1WW4tpi1+NyYpGanwcD2uRTxVYR2FfKb6aqcLEMqpNAhKh80mmGSnn6V1QD PxKdMw4eY+SsHg0n1G7CppYX229camUuyOw7GQI1SNIdumX7tQFkHiMhwiW0trZBe4d7tNBeqT0y oa3tLep2u9RqLjqI19/VbV1zfYQg49nZBe1u35mpatgeUSYpdz+gWmh8x8rqkkTAsRmhiozuZXUU wD6Vz5cXV9y55Pz0gr747NdS8iqhw/P31Ol0mEUQT5CSw3Hvbj/wGlbBotLr9dhheRsXa//kUJ2Z dSeuRFL6VMm1chsCqfdYd5dXfEMn45TbQk+SBEcugU44pJjThjMuvqMuBAZRLD4kTtBkDY6QWY+G xmW8PL+iJ4+3ZAG2GBSMOYAsinyZJKvQ3Xk2IiIM5laNi8UQrjgQoZslVmq4jQtyJIl3zOkiqZw3 tpfpX//13xgS7HQ2aHt7R1dhRcxYa2viJqEbEilOGSMVEgsGCh/kRJKGB5o2hok2sA4Xa3Gp0rxv Zb0nOUvqnSqoBn6H7V9mnnmBL7ontIXoOgPh3W+EgwYum/C+agMFbUJjyjR9GDaR4/NDdg4uzW9Q G7vcTKbbP3UhHbXuMJorUp4uK5+kUAu+7pRqAg2raAEMuVi+pf9jLlby86wKQ8IYEZrQeHJDac55 r/lwPi6HNCoG8c7PDroxTSrcuwkyK/syTmnI92G64vySpQnlLECnJv0MUhUiYVaH2Lj0Zbf6GgIQ y0qpicWRIuIMvIWLBaQJ5gR0rmD7Rqhy6lGsUBeLd4BpQS8++FSi6oJyCQoPtiqCb/C72A+C2ctB Mpw6zUh7yrTEu9yhTTpMxPawmoJaoErz0c4mGltJOQhyiwT7BMeKCxXeysef6YE0TwR1itoEwTrs PMVvRLQ67PjE2kt5YajR3Q7OGCkdXbylduvBTDv/qQsCGXjX3EKTfnr3WmKyiei8f0qDEaL8EIwU n69Ozg9ZGyvMjWLX6eUJtfdaHCZgerd2SIcj97x7SmurEksSdY/ynxysFPYe03bAbcs5bn1aVJRl KVWISU/bIqkTXXJAhgxUK5sPyIi+73JqsbC3LFL4vi5m0tBSlqgQcqaR3OuzaRr4nASOVqSoIy5u sCZYrUY//StwsapbuFiGLevnM3q5IWt1lmIfPdMqoCvm3HyLzs/PaWMNRD8NwrByRuzNsA62SvxM HcNY6YAoZ6szM1qgQB5eURntvfGk9CqEYh6ybZtClxihqdfUbiFz7Z9/wea+Hl7S44cvqAF1do6b T6h51qTO1iafz+pC4Ni6Ht557LlYQRlv+jf06N5jnsxm/4tIRknHZye0sVLjYqnDFgsD5wY0FCu4 8gopNERvStrOS5uac6/WkPGf8fDiivvDPifkaajD2hapOoqFekwpKTQZUQ3FYjMKiz5zyaxfxbTD xGYulheO0/x9nCZLHIJRnTmxSMzFiiBS5iNNAi4W4ACZgXClgRqywnwjraglbdfnWVKeuIbKcWJd YAujlQysrbmc9t4f08bGmq+YnkGEsg6zxyeS4UgSzpCFlU1MoplVjweH3uNIO1kZUc6HT+7BOFB9 V3+xWCtz0IBiCXwrnSPvlAhG0eHinIBQDWyUdHJ6RHPtFZprL/7FFhaHHPcuaGcbqaThcJRBxVwq CCPUvJnMxWK42XwW8hRtGK4D/qDTK6wli/m23IYUm4EG4/Nv5dBcvxotMIBGVKgOmPP/cNbgCRVV jJLCJzKF+aTOVdM5dnVGf6CdaagLrwr0Gf0du1O0M0pN4GdbWF76GS5WkB04WMRFx031siwFG/OW kNMCSlZTnDBuMbEYxdLMphGKJYX1aI6tBHIYxCGqnARKiDqNhX4iKc5EFS9eMRAj0jvv0+ryvEvR JiubmgBaFvc+nkApr/RmfgnlXiLnsqwhA3QqCJh3A9pgsQRBeGaw2gPTS+el7nW6jNLr5R7ElQUc ffP2NS2tLNHJ2SmtrHZo2J8I85UyOtx/R5ubm9RI5vTc8peZWBiQF+fnNByoyJ2yeeFphy6xZ8rq OQqk0NMDluIUE9EO4mKWgqclggemwyV+Dvz35fk5nZ0d08Z6Z8bE4kxdljKixsXiWBqVshUvN1BO MWtgls6KV6cc+yPi6TDVZ10MbJJDaNohTnATaP5GlmuNTSyUoN/v0vbOLiVQab8F5pUJZuRaPRdj 17HFRJ+ZW3mEqKVIVtQg3gQSU8OQp7ASxq4MbVKN1IvMMd/I+PfTszO6swUzIw6uyfMWvf3pa1r9 DPRtVVTU3/N7RHtIx4IBtV5FL0TaWILfnBcO9fL/LpdRK3x9BHYVbln83UgiXKuSUpEMVdDuQ3Zi bq4K9by9MqbTy0Na2+iw9izyEMIn4oN0/vwL1Xjx4hM6O7uk7c4ulw9kxfbZe554YkaFPgaZ5I/u I7+9LgwuNpjo5gYMYyGh4r9FRV4i/9ZXOtRZ344XBpWUFUeg/PlMTXKNbiTvI57Bq79Gh0rYB043 Lx0AACAASURBVAaQaokFQwJuATbbbtOwsvyFTvFehSVMrM/lKPS0F9ZSZhMQdYY5Vctipnku2fxi FUtd6DmiU9vDTCxse6ZxhAMK+FZ+FbIBU7L06ITGlGPAhSYWB7OMmZoQKiQy0pKWtLQyx8/1zaFw ajKl44sD2t7enZ1wmN25lMWnLxY4FSJjvFUjMhC6uiCHuZDXCZcDeRELwEY24XnwI5U1/lR4oiYt A04VJxMqg8AhXgumTIX3dAY//QokFYKQXVJQ/+aCnnzwwqsbMt2l5EUAExSDBo5AsfKF/vCXYljo vCwhurw4os0OVnbhgMlCZL6iMBGQ5SgECGHmBEyJlIOsUphfDt0VJ6P5Qky2M4meJ4LYq+sr6pz0 K7DrOza3bSzgOcb2FCSUWFQjPBDAahlTlYGfBjMq5neJDO2YksaU8654rwbMhRFHkVJSeyZS0rHp P2Xgk3PfhGU0MQd1MQgSZrKwIpVrjugcIswc91ylzCvKmZcTX9iiwcMC9wjcpDCkRVT/lPLtTB5h 9ELDCiYK85VqvpMSNPlpTjkjY7UJkhaMrOAeZrblyYDxi/kAvN89U/VjGe2qsG61OJ01opy1gErk S1z9RJooPlA3ypFyzSRtmHYBET5PWj6s1spIRBtrO4z6YaU8O+nSyv1tdY55AAIebHmo7a9SFnMK /mWXgCV7799RnsFMk+FyeX1GvasLNlmjbMmYoOeHVEyBFub09BnkkjSeJ5lSq40V1NLPyeT58cdX 3L8Xlyd0enZImxvbUQn4PIXFkLkjt5wfOVWcmb/eQSxIuKU2C+ByDoLCJIKpatpqMczL52AoU3KY hYdwb25GtL35cOaZrLyvYtewIGZyKarzUjR5vWMWbfEMbRTA2/m3b/8HPb77OTW4/83tXptxfCt8 RegP8P9toaCmOqEteuvvcMEs8Hp+/m1hVgz7nefE2j3vhbPveROpTirzSe1dU9Ww9pCL5Yrqz7Mz DlJDc9i3UjaoPadC0OYIcwJv9mN9721EL/dQTHRBUxAcdXFxSuPRiHZ379Dh6R5tbu6wH+qTj77g iSehqwkdnO/T5iYiA2v2fQJztUGPHsDEQgSdJ2lCenPYB7VDTQr99OkjyI0WdNHr/gzdvaLexYDu bElinnotJJGP0PctLwlMF2ZI2zk0WNEFcRK9YPuTld1VQRX7RSdAxgLMtoomoymtLq/fgnqJSeby Us4AkGA5yIQ0PTA2A2Gh4KyK5E5Gd+8PB1TlI5qWGR2dvqPdnYe1M4iYVONqQJMSWLvStO028jpU Nyy0gIOjVEGEhqdlQdPyGpETwcCQfyJfxOL6HJtMFSMb/h6U1gsaMO2ddxAEPGHMpbkm8xkRQcNK O1XKYal/NdFPUAfkgZDI5gFNq8EMBIz/oW4NFSczSjWOOnBQjaFsUtVSLMPQK1FG8QJvba/Sl7// N/rik3/8iw/f7pkcNzGmi+455ygHM0B2u4oWluZUATOnrc59HmTAhXh/ZRNWGNmsdMnonyXPUT8B ExyFQoGUZJBBgjsWh12kjpAF0LN5pxVMZ590SLLMgv1gaZQh/OdWQ3fB/GUfBJ6pzlWelGy6WGhE MEE4nmZKlKPvJuI4rB+owWsDJ04RRhaawz1ErTqeXNCOWJRxT9Umw/Va+k64WGBTY7eRc5TkURT+ lhd6yH/14r9J4D9ldHLapXu7lrLLzsHyw1Yyxw4zmDDRBKEpR+vBlPKTQFJqIRV0nuJ3CNoPV09R 9P72+294QMWrc0UZTKyqTQ2aU1FkZZGy5A8MQjjuvHg17ycwr5jW4ANh5KBdUgMTC+cnaovTz8kA +Xc20imX08QyxcSqqJmO2YlVR/f4udk8q5aAp/Xu3Vv64rN/VHQKdZcwZrZ/I2Kl3x0BNjB6rfHr GMwHh++oe9lj2dIjOnblGRZX1GpohJ8my0HYaLd7QBfdC3r84Lk4/LRaT548kfAcBjR8YBj65tWr 77lfETH4/XdwvoozE+cFUQUrWRzi5Q/fC6arRX/69KmkimPzxMASMSXfvHlLk/GYevDTPFDUknEI hfWd2RPHj8O9xAufqiDa4uQbWnYP0QOzHVqD3NgsmM3tYqmf7WwRDT0zqTCuOPGRxAYBfAKix/UK /GS50bYNwRKLyQaP514xYwWzm2+F27gGvUcfm7J3XazBDxJe7VyypNgcYqBOEpS7VGTut2y/15W0 7HuibxSlV1afBgahvcs2am/PBgLNjualh0FnEsS7gjGXeeKmRHlDbOfrwSlR1qS9vR9pY32HxoOC tjZ3mGLCZh3UE48OaHFhkQrVDVtaRlYsgVe3tzbp3s5jKtFhppdFKV0NTjmbq5hD4vt4+fYrun// CT15ME+dDkQUMFnDlhHKt5A+RbkGA/7500/5Lt7//NmHzlEYcrF6N9f07ClAhzBVgf6Vs1ysRw+e 8T/f7n3Piz63D6/4prZukYCxSc0LsOqLMRe65tSbTKf0qy9+JQJ8yGqlw0AQNwmKqF/Ia4JERZIe W74XXgBM4Oh0usOaRpwnCVi8vMDKb/LR+NrZ/QXyZEyuI8UROV8WNJ7e0GByRSl2kEg6csr8muG4 X0OxUiqqKUcADvkdboZI1ynfCr+rDz68D7yc4fiK0jSnvJFHkqXCqTK6tcukociE5Fysy1EKz8y4 WAUNRtfUbiMWRVAuyaeoZoMqbcgQg8nWcvRnP/QwMSa8zU+noMmnnOrhqndDm9trtLGyRZuru0Sr jHdxyoWDsz2aW2jRwvICLUBV0agaOlGEbybatS4YKWQBsPknSNHb/e9ocW6OdjoP6eTsSLF7+641 TaCLZSepWnKamHNlp62QGUH14XcLiyBs54JKJG+XgADD5sXkYcdqKGWq+sHk75k2pxtfjJ4qYpZ5 MxAmJKNUML1qDlLuC6BpiI7l4oXMiYSW1ufZacwmLZBQ+Gaq21kReRsy7+qhhAnSbizNStokBQ2z Ac3xvZq6ezqhZtZjuXgzzcQEgz08pUE+oHZDfR3uD78bs3nSbqiXPaphxam6pGzYQn2aY95YGMNu 3sLFgjcfEYC11NPsCBS0TbhYDRoOLmiuCR0sjQVgRyHMSzm0YbL1rq+o2RJkxaIbrers2EKgDZiw 8BJPZWvu3XTp7IdLuu536eTs3CF7sr9UdH7apfFoQHPtJYZagYIxaRuTLGtSliM+Q2RuzMeA8oyK HrVyofFzPEpR0iCdUvfia+renNPJ+RKviNHwh8Ove8IaVyj/5uYGdTqb0WC+vDqnw71TnZ5iYiHY S5RqCm6P09MTOjk949+0mqC4CITquVghDCPyPpIFWGBZM0iEolJn3gojl1d0prVIlmL3PDBs+ZAu v7N+Re4W9oFwSMEtZpmjwzRmy4i2xR/GRAo4ZMhMCSasIlRcJypPELdKVHWWo3nnQqW5P4OLZZ+5 zFAh9ylEl8wxORszHK1ijs/k0aBby/g/xcWyFTThXBgnZwe0tbnOdwY3N7S4uESjUZ++/vor+vij j+QXVcVcsF6vTysrixzSCVt+gwdeSovtJdrdfUxnp4e02QFEKp1nfg9g+l/+/n/QxcUF/dM//wO9 evWaRqOCtjo7tNW5w3Qf9ndA04/NDmFaQ7QbJpbTC1M4HWjO4dk+bW5tMhRdR5Xe/vSSHj4IuFjR BpPT2tIGbTzf1WXN62L95vf/pnkWU9pcv8N/Yukm9PX3v1UOFAZVvevs7KcmbGRW/ykulsk4hd8x M9hzsaLfVT/3TK9FNhP2qOcaXlBAjGX0UJUWCgS4+fNmfjPo6XmqpHFxQzfD7ozEPuxdSIU2h/CB xAFTWGVgJvWHXeViyaDHIR1G1GB0RTdDY3AGOwhNaXVzhfqDy8CRIxXJm7kzeUBncId0pkarY9PS VavNKlws43fVECeuhsiSwpkoB1xEJiLhy4imk4pu+iPqbICcJ7byYnuVfSwwhT778Jd8mMQFRx0P mA0Jdrq8OOcDZDtHaCy294ZGWKIsehqzQCgWbqjY2764sM6W1/PHnzrP9pQm9P7wDV2cXdEXH//a e/c5p6P5V4yrZKaIaU6FC4XVW51fM34A7TsMCkaxhC7POJjx0ExvqgoGnW6hnos168sRZ6OEABja LgwHj2LFcDlMcTgQxTz2qcT1eSoCQfiOWjoOrOcwDMR9zILNEikrPp661haXwSX7EblAbk98VsAM 9+Z5jlgNrFhQ6EB8+FxbhMxsVgrxbkqT8ZDmWsuSj6EWD9Ju9GVAhbsDV7ygcWukz7TVxStS0UpG CyDtRUE5giZsb9wTp6Q6ACXSTZyGcNyxqWe5OdAZxsUyCkQQY8LbPqcjxm+g/g54VL53fLxH251H 1FqBORd2tAzMmbZ3vg2RJELOwzVUTwGH3R2EuO5Te65JV/0TuhkMaXlphebn5rke3PhM5oQJY1U2 WKCk3Z17dG+3yTApUCJZgNHJgTRnWC/dOVO+F9v3bFqmiOS7orc/vqtl2iI6OnnP5kWoi/X5p58y DCxmzjQAWkJoVpxsTL/X3718+QONRiO6GfXoEeRm7ft8ALawYklXF+3tMI0B9XIAncghRYxkNoU0 54ya7tbYrBJzyw4iYc+CiPHOHekEAznzrGEbJ7JxhmqeuoPsnbyiB1sfcAplCcbRJde2Rh0hjqul JERfGo36c1wsq7hAjD6g0aNV8kTJLmtyj/UxuLEB5XP1agcDlVdFTjhh3/TKq0a5kO8GZYkGtqn9 id3P6owcvXibqfeXXDYgUtreuK/5EJFMBwfKKe2/36NGK6eVVaiiw7JVdZhoPItwGhxVkudQYrQB vwpFO4S2dZIoHwmkTzGjwsGFHSunpbll+vTjXygXy9/OvsvoxUfPRfSPdxmI8VWUY0La86qa9Cj6 S+8J3V2Gs8WFv9n7nndeUV33Soii6K+Re/UchaXKi3L0RWyzcUQhD2BwsdAatsiye48dq7Pq7nLO MMifh224gTA/Kw20pKWMgoEK2dImXQ4TqHd9yQ+AiYVAGa+Da31e0unFETUa4OGL5qovDVaoC7rq L2p+b9mehDdV0PWgS3nuD9SuU6mkm+KaigYchV5hEFdzLueVj7lRtutoohDmfVk0otuLbBLCiSkK 9TALkRC+xQIHkFWdMheLn0kVJ7aEiDSS3KSaf+I/d7kZrP/lJUBxYL0L6BbqgVlJFzcHNC4KWkV6 AR4wwQQ3pXOYKQEJk4FtSy3twHeYXsp45YXB8wysoU30gAl7dZcym0PCu5IyaNIcKmllYzXgNAS/ sEVIZUtnuFhACTPbWYQnwas0PuOQgjjak7+RFfToCZyf4riMXpkh6REMOht3lrJVQiaAIoriSOx6 YM4XwhvCvrBuwjjIIBiid9knIo5m5oyBA2gx6UiXtTQvsRWtbIFWYRvfAvOeTA9oqb2qDjMPmaGh rlpXEjPNMb7qmOIzASDQKa3y88Pzh3RuNm3SXAP6vHH+DTTIH//4O/rsk1/qc6QpUS60HwKDTCZU yiAUDew2os+Fe3j3NZ0endG93UeMjbOCOyNcRHPZOu0fv6Z7d9YMIPubXymkikqinc59ruPJxSEt zi1w6gNhhiuFXPOt2yW8IXS2xO74hUEGNHuv4YXmwaV+G64TArTwPEwgDNqYYi/aT6JXJTuojyh8 +OguEUPbfgJ8+eWXvPAdnb+j8Rjq/WABxxNoMLmmB3efq/NT6BssDM1mkrFk48Y2EwoL5YxXnAOe 8G9AngTRM7CFF+sA4bIL50URDpHdRc6BAfJqyokOUFDDHzseHJKpLyM/2Viefu3xh2aniWWLYxQ/ bieKsEaOkRV0ZM2OtUnkjuWxCBwKPGXmpnq1g6xE3ilo75XINbnn34JXIKZ9c3OL9g/eUrvdYsVy qy3aYDIG+xfOO9li/7ZXeMCBQyqn3nmXOk86VBUZHR0f8MERMCxW1e5Fl35694br98UXnwscnDS4 XTCw37z+kU2wpaVVjvnvX4zo+vqc5ufbtLq6qikZMP4tTbIubEH/CZwMcmcrOAfh/2VVTlhgwpM0 v/jsn3gAf/1DTi8+/Fyh6Ph68/47SU7DkrLKcEAaaMfFYve++75QacRUYqdezQyUDGIKHQeImOQ1 1OApfmbgW+F7+rxbnhneE+zBkhWZU9ELieSMFjHPBaYjaMfQnAqVRuRgCZo4kjS6bKmu20VVnSPr HFqiGlZQ1Zj2aTi5pFYbNI5wYNvvBKlCck57J363vD7HyXIsF7cZUtga+4NzGk17LIFjE4cPeWxa 2d+YiqRPZ+dDWl5eptH4hk2sw4u3lOcZjUZTevjgqWDlmvjgv/QCv2pukQ73D+jO7gPa2QEzWGIo 0DbIK7i+1tFjYEnFqKLXx2/p0f1HPCA+ePTxTCatlWVA1GjLC578DD1zcBMkmMyQM2YAJhoi9ZAJ dxqYQ8JHgHcgY3XE6S2xP4I43WaYio8EQhzix5HznudiSY7IMGYFIQvgQKlvxUnvmZmIz/W3FlHo TCyl0Nd3HcTpqONRSIj1+5qRgJsjIMe6WHvUTU2sHDpYypbMsB2xCeJRLFygmMA8kVUJK5l/GVYb 0KyBwfPBTSeIiDNPqNVYYPRLBDdsC5eUaugANq+qnFaWOj7gKi1poT1HrXwhmKhif0Kg7rzdpXZT FRk1pFX+Cb+AZj4t+JhLu9ubdHJ8xLpRi/NN6myAHg2L1mWacAe//9oroV3I8XDVZGWVEtRXVznD rC5t0doSEuRYa/hzhn8GJ9/mjFUYnEicc3F1TA8SMH9Vp4pBDgABJS1tQKoUA3JK33/7LS2trNLO zrZTkElYwKPWLtgJYJo5Hd1bFF3UfLHdn3PHlwW1WkjM2phBTSQrWfCb8FGA+fkQj8VDHdBK4GQv Fu8+oYmu1pBSR5hyXyteWUg7eVVOMbM4AJn/Ozik73QeqASjRWrZ87xhjgreRi+XSzg3BjpGpWHu llTG/86bRigoC4Kwgyp4flXS6zdv6MWzz5wR5lc/yennV0+YK/KdXrdHKzgLYRVMUppriB7XzvYu vXz1Nc3N77AOMQbKWfeMNpa3vSr7jMfrv/KqOzVv/7dbp3BdEcYhNil1VnZoY2WDDvYPaGdnXpEd TVpTTuW8WYiP6jm3tYU1F/TdN1/TZx99PpNTkC8TxHNean/xjmwKM2racAguZcxcmMk2xucuCR0W 6nssHieYFxZuyUhoqvZ4Ct4hcYZhG1iWLEwN1FfHcIjeKScNG4IwnBVXU6RMzCw1sQrdatl8USEF D8PJqsTprFRzSgZp0HXsxLJ75o9VxCmtmId1M+xTuw0WrVLTdc1mynQCdrD8Fvj75WWXt7nzy2M6 uzjizl7fAO1bvN74/PFTyOcEXCw901z2z+n+vQfMAWN1PR0zTL3nHBOKrABYuOnR2goyIdW9sP8L XdwGSNKzSkenP3FyzcuLSxrcDIVKn05pf/9rjsvBDiPidNKWk4ma0zPI15/gYrFMrZBJsSIzdYRX bNOc0mVSkTeObGSZXJj6olkWmuFsrgHRZD1mY1qDKa2mEqNY9SJiVAuSabtdxO/KdJzDFLM4dzbf EAuiHDszsUTrSr7E6ZxVpd01Bst9IteCmFg+obt+A+mXOQl8SxmjtgVhlk6ZTzXfQkJ6L/8iSUr0 mco05cJwLsI5NrEOFw5oY01jopkqLbvFxuo2vXr5ip4+fhGVEY0gpp74GKKVrUQiFKRaUCX2kjiT LKjl7QbSSm8EYtj/61y2o8+1lvgP18I2JoFekGRdBs2E6Gp0TocXP9HmKnKMCHlzwmHUNb8ESKjJ hImmwmOri9VBIAIfSPKjSTmlRoqhN+TfTao++504MGxC1AC3q5iKia4SQ9HjStGvkpwdBiNglypp eD0mWtBcK2G9OeOAHBnEDK8F5TGTF4FUOl7VpSFHs3EdxTITg3/581ysiMtUV+KLM516z0z9XsiL CZ9VN2/q9/8cLpatdv+RWmBQnoroztYTbqBvX35JLz74gv7/d0m7Y4gttVf4YN/t9mlzY50Haytp i8BE+Iuy4vMoiKY4G9UtU5MWNS4W9IXTIqFGht+1qImsxgyoVLz2wUnoU+mZl7xmMvHfLBfr+hrB b/F5OTyvOq+4y4lpt2MqVcTv0rTQju5uOQkZbTD+k3MUGqokEWRAEpzspV6cd87SQIdKdaABsCq3 aVGJIWiaU+KkwjaIfBFhAJY4vlhMIuBiqWs+4GLZM1V/SXMUiioeyunzKDLxGggdtk5WKcAfaOzQ Y4JY9jVHGkJ+Ble316Vms8m5yWV3+8962X/ukp3v/OKEVlc3xNa2c5+pjwTeI/ksbKn/5LlJFxcB c1JaX96kaTGmb779hj3+F1fntLwI8MTCCRAApm19i96UlFucnFZmbjnNbiumOrhO/kzL37BoQ3aO BsADW4ni+6mciWVF55hOAQvq5WCTSkIixLTzMj58wTTj91m8urkzhNvlxrnlKGT8RJ1sbEK5yWFh RTFVvJ5DznI7iBSMFB8HHWD2PnW0DGbzjLCjEGIINTqDFAvmUmuGi4XvsdAZC0SYhKjEJ+NfVxY7 1O8NaXlhrvZM4OhmzgG1wzMAOyNVMdC0BuUIaGLgoOLc6wAWfnzzLT159GHkvf7rXlLb8WTI5h5y 921B5EFC3FwkPgbX+fkZ9YeXNA8kiHLqrMM0qoEi/5OXE0qqUtbsev70E0a5Do72qUr3mYjJTk4O d0Xc0JjjfFI4El3SU3kGlEcMjXQGiK3kxouKTCIVdFDkSTh3PlBO2kBzfISeLhU494BY3TfnR1rd d8coHkdP+tOCKUHyWAtAKU72ZXqu8rJ4ZRLs2e7etmpp/LNCZfo2d9YQyNB+Fz4JmYNw2LKiBAcz cLE6GxEXS9A1Md8Q5+BbRuTw8c+l5VU62H9HSwvw+Mfb7vr6Bg2HQ2o3Jdno2jLSKUuZOLBHt13s 9ugxqIQsLsFu9+//s64ondyfscJXOa2urlO/f02b6zvUvQHB8Yb5XCLgUNLJ2TEtLi/QsGjQuBzT dkf8HQJV/vUuYchicWNNI7rTucfVhmrKtLjh89rC3DLHDQGCF9GKuGEy7MIaDxLxnBipEv5TBGVr uDHv+uz1VmE4lvUp6JtvvqXPPwWPTOjFJsghzkMTepg9P/L71WNeJ0B6LlatjBLlI0annYuZ22Sr AHOVJvEhXbk+yFLKgSR1bj1Tqo3jJHa+m+vgvnEevyCZiq007OqeUsUBQjV6elrS6ubSLBeLA5mU pl7jYkFATRiyEjUYpjjAFFjbWmIEp9m2sFRvIiDTFZA2uUr66ac39OL55+qxFW+tpEoOe0A9vElJ 03JCVzdXtIAciiOpS69/wYNpGbkFHZDgxeLMA4N7rfY8o2pwxi4sLlKjndDr99/Tk7tIX5ey9A4k S1tpi8N4Od7fpSD7K181MZaUElpZ6DCyeHD0nkOL+4Mr4VU5j3gISEuUn0w3Nc0w0dU5l7BTOnRr J3R4/J46GxtqYlk6bTW/kPSIxSUCcXCFJ3lc8efx+BGTSsaBxJzXWoqzEUhiIzFdVYyCUSwx/c1E z9l04hBGDARwnEybyJtY2OJzTvUMd42lWNYGgbQMdLEYhZB7RjHAdguEy+f3MypDRUVa0Fdfv2LR hngHkRyGjRKq46L87tXdhRKQznCxyJtifC9WGDTo0DhcJoxmnv1mtkDzbewWMhmfP/uUw1ghu8nx L7duBBJ5iN3z/fE+3d25x2zUvCVfPr+8EOId6wEXyFZMh/tHtLuLTE92iJWypUVK60sdKicly/Qk kwY9ufuMA7g6Gzu80m1t3IkMqvg88re7KgU1ENV3d/MhD1qs6Hv7e6y+iPDW8CpgvzDNRA7VwsVS xx1T12u8u4Lo+OiUtjd3NOxBFy+TruUE6rZTekU2WR40PLnmqxHHn1JaWAyiRqjk8e2dgd7PBw3l pIZihSsaS/zUnXaeiyVi0rGukRooeoiT/7NsUH4H8juSiT5YzLg8N25klOH47JTubN8PuFhB5XlS eIdjnaUq98Iy+n8KHd7QEt2Z3MOl3JgUWLX7V1ccD99szUuuQf8U9VpL8pV7Ow841HZxblEo27xA FLQ0v8zpE9IMLOiKE9IcHu2z+QjhNzuvcYavtEW9m3O6uj6kdU05MJ1KrhVfiZge/19xVWEDah6S VrZM97cX6WYAelBGbdCIND6Gk5ByoKosP+yMUw1hcLKMxuRUHtWClXMKfut3CvapuXgPv8AauCGC LSq4oCW0b8m5U80sdy6x78CloerunPbNAv1kYorlIPpkOfL6ccyB0jhAExZnjB2EzMTS3IAem9AX i2OFA+QhTMZBPrJFipQjfmeK3h5ak5TT+r6ZtFuQ339PO7tYPUUK0hhZEgkICrSXm+SDLJtBKjfJ 5l6tk1WJXVA1G+oCG1r+RV8+MYfmVls0Gvfo8OKAqklOO0iGCdID6ynpbzUqrds7p0YDKI8MFCSL GU77soPCHOOVNqGt3Q365rs/0qMHT6icJLS4uEr9fo+lUa8HV7S1s0bjsZiK23e26GB/j+5sP9ZB 9TfCCv7klcTgGa9xCc3NIeNtQnvv9zhGB+nlur1LdkqKeJvJmKa0d/AT3bsjAni6n+tRtaRe/5Lz KDJz122M8i2czY5P9yXvI+9KFsNBdNW7pONTOJMLEbc2gYa0oIvLC8oyyQjMyFvQbr3rLrORvW9F ACSYcZPJkPJGT9gaJRL1sPCZPpcFhNU8CblYQHo4CF6yl8p5QC5MLcirwPwSPSo7zOPl4NyDMeoR pwhPh9I6TJ7a/GDpUYJpJlud08/m9VqSzrNki22RbAJwcgehJDgqsz5PbVp2JLoyWiyeOhhdGf22 i+11WIxop/OID5ij8ZD29l5z8sjOZocODvclyCzN6P6dR+rokraBZlYrX3J54KUOQufGAXd+bpGo ldPbt6/o3r17lGfLDKlCRQUidvKsFi3OL9Nl94xhYM1HQH/fK3GebN4pCqK7u/e5jFVWcauByAAA IABJREFU0aef/ppev/6Gnjz6xCGSGAs7W8guVtHB8R7t7O5SNc1ZgAPP2t66y7V69eY7evz4CbeZ TaLdzR2Oo5mWQ2rkoKpgnMld8MaQ8mFc3bCmmcDkMv5YXC+t6KJ3TKuLsUL9VrXLpNyDg0POHiwI qQrWpSV99/139OFHz4imDfH0sIQKB9ibppTvCA+5GRIQ276sN6WDX+y+wCRQLSoX/urSH8j7JAjm FrRHKcxiXpn4tDmQjN+lv3H2o23FEiNQt0WYuBaFX9rqj93A5rX9zk8goWiLCdBuLDgPPhY0xHGs rK2JjCVs18C0E86TMtwsTINRGGGYmjzro4dPnRhXFUHhYgYuL63T2fkxda9OaGURyN7fmxpTRf8u UGlGqysdGoz7dHZ2ShV74FWdxEH89hvpUzFrMFYkGQ5M7nk21WyXsCthUutEQ3ZNwYTfqy4QDLks N+keVcERuFNxI+9fsmeaopb0rymmqJed8x5KFCPT3T1CJGmreleXHGswHA1pu3NHU+aqbhQ7sOND OtPkNTGNJw/DgBMUy3O4/EAAKvT0w8es6l1XxoMaOSNcjJQYHi6OQkMuwmfKOUgCtIQaLb9zz8Mq r+mc+c8mP/6yjFEooU1bXIkgH+i4giQZDPa08MLjWZZ0OmII0yu5yJMnyZhG1RCOJk1sI5L8qNeY c/KNhUIBgIGXUtHEQv1YXIJzH8rMWuus03gyoP6gS0vz62rfi6TO33s/KS2XSkU031ygdmeO9t5/ +5fvdElFrVZ7VsLn73zlcPK5zD0lHGdEP71+R5998gui5Qm9P9in3e2HYl5x8hl8v5zlYiGu2XGx ZCZXU+SKgMPPgm68injOnTzS9NHh4JN9BcLJFhPNxDZdcSXBleYGtDVAD3rQxZKDmQk6yJUB6kOk GKNiqpllBv2U6Nef/W80HPVpLkfecgtvlcxIWdKkPA3rYMUUHbFGZsrv8Y6FejcTSb7Dqhxs4wmS s7m6RZNRRfMtzf5rZWHqtiYW4mRFuuOWRO2sQZN2n857hzS6mdDOtjoU3Y73d5oqifmkZAfHpH/y 4CPJWsWyLiH50OrpNRZ1aRZjPb0NhDDrJIR440sULm1Xno3tcfu6Cw0w5Cr4QnCtb6yxz2yu0axz sXDyJ9q9KzEBSdmmpYVFPqiuddaoOzinlYWN2iz/U1wsVzrXkM45aObYjDZWRRvra/FzndUXvi/8 zL7wc7pYwW/t++7ZitRZOYP7ZmjNdBtXx8eU1K/1tQ32fndWt9Rn4ZXNkbIZeUPmlUAY9RK/zpLc xHEq8PKvIiHqYkr9a8g1JTQ/v8BMh3iy/NddKVsxYipzzpfT99RsCeNB4kluiRfRy7e0+cxvg67h grAQZI9lxt/Q4eWCo3Q8K4/PJ0wKzLPgGf6/5fkbGx1OdTffBIpl6thQ7ma1PKJu/5IPhQ14eRc2 GY1qNFrU7Z5RshQ7egzFYqoyp7vSF2kBJSMpZB4lZBIVAAoEEw48GyBndY8wm0yGRjFMiCeKH4Ql RDUvYjjpxB8CjhbMrFjdnZsfvgiX5jpcVnCJQAQjWS4ox/LjidBAmD1Wfi+eXkRZ8tEr7D8ias9n dN7tUpmqjFLAEeKztqtD0M16RmG50xztHMqnipYXIZ1cldLCIpTxQQd5S4vzK7SyuK5WnsHwfyv+ WHw5TlUypYOjN3RweEDD0TXNNYFkZbR7Z4vTN7jvc/+N3S7NviQ+I+s4qafw1rewPhY7h+tx8KDm D6idLfI5xrxbbHpzO0MZHiiqxTupSDdo8uzgnsz0nfDF5NiQM8qExscAhjlQJgxB3vSH1JgTRRD8 4OvvvqTPP/kHkZepH9TYxNIgGpbutAN0Rb3LAW2sIb0VpGWUZ6PSLzBD0tsC+eGY5OfiPkAE4ejw PGaaPNAvmD3myBScnU19RuKa0SSW8kqeRS5rwBOSLwAFa7EJmQb0FaFcePHnuM9S/zxLGBNlrcIh EqiVpsdmtXeFMVniKszL4XqG/8GIGpuz8Y7A5YCzlpFHIVDc3YLQNRyTh7SwNE/di2tWaZSo0Hpw 21//qqxs6APK6R9+8c90cXFMa7xziu5uJICt7SkmsgxkJ55pbR2PVjbbWRpWpYbqAgINmLIFwhiA OQm0LKCOyNRy+IOCOSZTy2XWSNh63wFsYTO9QCIms4a0KfMkof2DQ9rZuSeLKf8wpw+ff0bv3gHL fhTznLjj+V9i5XddVuW7ukVqchRTupPcDB4v8k0uWklQMRTHpGaLxZAoG7SwMMcrccqi0pIH2zMy Z8XeLKGnNbiUO/yCpi9z23RorgiCN3t4DIlwei/cWd0zQoQtPof9rGRm6I8J2iWAFtz7k0oyD0NL q5HPUaczR6cXx7S6tsrnp7/9oTfh0X1yekxra5ZT/bY/uQBYRAF57t5tbRXW3NqGE2UGj9Rknq7T 9QxsKSw1j6MIIFom3/A9syZ0SHbMwWkyFAu0iDENaH4pRBNkMO/tvaXHj5BcRyUb7aEcvagcLheL EaBcQapkExLjiEJsdcgnmLapLGOTCP4M5BIHg5TJbLUzSj6fEDVKmkxuGNWDDwTF5SB9o9iHnQKi HDhfur2bsETYJFM4HxFpBtPPxc5rzj2CwFwtFzcg7GwiOQ+hED7j7BQNLGlfjd1GsBZQQ6CItzg0 ZecSnpCYdbXbHC6MNkPEXDB0wLRldE7EsCH4gNTV4JStr27S2pJIOWmN6K95parNdXR6RO/2f2KV xJubHi3Ov2NgpK4Qf9k/o6xR0e4miJDBwoZ+Ux5d3TEGH2sxBadvzP37/fff0mBwQ1/8v7V9Z3dj R7JkwhE0AEiw6Zs9aqlb0sj2e3pv95z9/9/22xiNRt60oydIgAaEeyciM8sBrdnZM3PPdKuHAK+p qluVFRkZ8UJreGDCBE9L7NH4/0MGoEIOIUyJUg4h4fiahqwM8RkdxHBWE84IZ+FvY0ILDGOm4Fot yXh4JbM1M8ExT+r9gwM5P+vJ9ua+J6L1JuD+RL4V6AWpxbI9HEzlJ3BHgryl1v9qhReGYdNChjR8 Qag0ph8i0DGqUhRvOHhaMqpyj+Rhuprr1ETGi1CsGRE1XdpB1y9yL5Up/QvhmYhnDnXPTJIj7ILN dRoG2sCcIHmqtPySD8fMOWgmXqFJJI4agdTCZWI18Mn0nFxJq1Z2ADP7gk/GsMxDtjBHqXcj1cwp glFnmQFo//u7h/Qt/+bHP3FArtuL8q89qlDDYu37PpC1akUuGGLBdddtK2Jbvzr6WfZ2DvX5DBTR UBb9g/FWXxDOAlHEWNCK0Y+fo37et1kYRysyG+Nz7dYaJ2IFXuoMZREKp6sFooyJjT2EYHjN4wRY ZW2ThrNWEmZDkIOsLrXakgxH99LrHclmt0tLtL998xf5r//4P4E3PyeQrM9qm8RJYMISR1UHR1Pp CGsff3+ec2crEOIrMjbxXz2fHxRcdjUMPYvxv6Zz/g5+Ti3KUlqIvh9JfG8olqGSGgYm6EtooXBK Sx56+bALNWfPkVc3Mi42VErrsf1ey0MNJrWQKA4Qb5dQCGZx8/39rVz2LqTRrMnd/Z30Lo7kYP9Q Njeg2qjKHh9/8GXwAfxX70im1ZkcnxxLt7vFlQyIE2N4e3nZjhn4ZL7s9AVJZHxY+LSo79SuL/il LEA80SYzQPw8p5U/GBAIXxFOPD6ZeHKTRVGWgC6qWr0WH9ckFyug0aAWVyasT0BHwe0IF4F3Qmt9 VcMFPkyqoa8Xo/VvqNazbqhWZHVjSY1PkIyzWVRRpZmMx1jGlm0fkTQICSBDLtcq7pXCtCZvCd86 M4nH9hBxJivWjK6cESq5uzdkjEnPPMRSbS/cy4PVv1g44sIARPfyjiHphbbSCB9lMRICSQx+bpMK J3vUPHuIVdD8+QxjGVO+E3s7S1ia1dngpienF0M5ODiUs9MLWVltS2t1TQ722gG0WtvrZoYyOi5c LONff7w8+VYuesdydPFKgYuKyGBwper1XPGKEKt/Lue9U6M0KTH1xWdf2DhSG+YcgTPj7JlqqGlF aGppp5816ih2SsqwKR6Bl+VeEdYs6lEp2inFG6zAK0t+W9lEdeIoliXIsewFK1783GZxiDaMl6RG s5ici8VaDIg9OE8rFGDBi3tMM0pHClR121L8CM2wgCGBVyThgFRBnqdaScKTtMnw/THCOQ01WLbv I5rIkVtSJ42CYnzT7srZAE7nVtRCdx9e2WYyNgkrNOu4KagIEB0wLbH0U6xCY9DrFQnUWQ5hkFUL IjRbYLkNLhmp/KDm84UZyfHxMcXvumuHstVGQC6y8+hxuP1QFWdDLuad/v15kcPt57JW35C11bY0 l1a4l4DyTBdCGEQM89X/1dtf5PFjhFgumA1mrdVisK21oC0cpneGsVdlUlbZwenBl40VoybYwAVE V6XR3UyklfePpv3ABcT5NDzOakYgA2TJ2iA9qjwq67wixWhIty6NgesSrxYcpagzpM6oyudX5YhA Xw68fjufQZHzLqWaxebD+72lDUKNJP2OhnYx1NITzFcpqgi9QrcudxkfwV4G13KyIpqE5LKgOhD/ X/crGPRKoEs/TpKSlohlUi3IrhpyVpxTJw+dQLBZfHP0mgJzdGvFipIvtnm7zd3nvz9pWJ02ZLO7 I/1Bj7X9650N5aGxTsP6ON2TWsZby7zVa0T7MOmrBZ4TKbBSInMkqJpVhLFzrI5oJoMByKbRRtx+ Q8+ahehpu2E/rsilcrHYe0h8jecrCk16FMvRpAaiXVF/EcxogMhM8sxoHTdZcLH81YBLKRJitSZV 97J1uDqV0QS6TOAmzYdYY1wPKBZCNJ8tOXuoOrciahE+pJlLXX3wJvys9OqbyXj6IFMk5wKKZddj chHI0WwexSLCpfeQh80mAEBJTRXBIMTIATGSag0FY34v6W9pSDeu6b0gngdVW4GKf/9g//85hpMr Kpe01tf4zLCwPrl4K29Pj2UGeCsLZyvS65/Kxc1F2KQD9n3x+RcsktMkMPSS85r1GhWkHN2z/Zn3 O/pu9iANC7nT+viAWtZwzuSMeEmp4q4StW704wdWs0l9KNh+aEWhcbEoZpxV4+nbTn+KiRaYlHR3 paRgeUNYoCGWJgSrMh2jGMXCGjuf/02xB1ARUrdRPyelJhXFimnqeBAZGlWlTtjUQk4LNeg7V/hk 8LfHqr3EJbUQM9aSXTWXJ4oSdtwIhZJkYIGmsbIxaIWFK1nnjEPSUouJaP2jrx4qLfnc8/wur3yE B8fJMRQRD8wkRv7pI2A2QQ0k2S1nMP4/d84ZUxJTefXmV9lob8rSElipeLKGdNeWRDZn0t1Azf98 Us9DrOoElZqmBzzWHIWKfjjilFxxEkscSq9IHLXZkAikkRHCeNB5UBOyGSUIX5pgpbIyB0fS/Ioc 7+iDJYg2uBejW0AXDWiIhH7PkZB0x+OzZyoD45a/ZpaSxcS6wnCbawX78weckVx525fXtMmiwm/w GPRUkqEj5WCORZJlDsRRC1ng6lql2snJyZHsboMuUTRyCJ/cGi3dHBuqFsKsmMFdZCutP07kWRE6 t9pyfd2X9db8XuX/5fDQJSZwE1G/+I1/6qjQOexOfvzxR3n+9EMzIbVaitAGzrXzNlgc9nnJs+/6 yq7RmjRNKNMWPNFLySSyAh7mXCuglr7Vn2/niGbFCTsLwBx+Rs7tux++loP9fWm1O7okMRyyQe21 ILT/UqEEVJDlFYVAWrCMjQOqxAP0AkuULaK7q70OQpe8xp3nhK/I9J6xPYWEi1mIiFltQgtf/b5l h1yZu7Aa5oHkGhCNilYO5lsK54whY4+lN9ZrwPH1+PyV7Oxu51Cg88J4PdtHFSgW7lG5PgrzqtCE bkY8nMiem3KtxgOqjaXdWpXXb17JOox2slpuXw9s+kAiFFw6hMJThVnBRPjuu2+lu7kuK60mZUWx Jzw6OpbHO++posyCiWT+qITpCHuii+tTqS1X5OAJ6tHVJjtL+FdmctY7ohILx0AB7/WuT6V/c8V8 mycKSXaujuX6/lrOTk8T2c+6fPDsAx1jM1wHbHONUMC2/e233/i9o7Nf5bOPv5JHm4+iTXSi/l6i muw7SwaqEEm6j8W/tQ8YYn38/DN9/1DwY0mVsDj7jF9NPmOIldDdGWIpFT5YNrMPYZGMi7t1mH7b 8fvwe4sSQ7QFBq4NRAPnzPcoDAO9gtFmfa5soDGEZ0gP5ANG0rvoy6PO4wI6xgGgeFm5QFBBN7sw NDDufzquJPT6MA7sHpLwK/P5gisnEDzXGfPYFxttoHTv4mLp0q9tI7K1tcc8B+RRtT7EV3aR/k1P xlCEqc5YxvvHDz+X9faGQfN1+eSPX3Bovzn+lcokaGfwtlD/wpwXXqp/uIhUArfp6PSV7G0fyLRa k4dhX9G70hFKZrLV3ZXuesLFShCk129/IUzt9swUo6PuwVjOr87oL5+9tETHx3J+ciWP9+CDqRPm ylJDfOxCleZRF8LkXrRmYAzRSecIprcIP0u1kVYn3zI4UC4WxrTulGy2jChQsUnP0IiCKxMkQH3w e2LLf9/+G6Zsv44NejdASRo4xnopHymd6XLEIf/3vFBYXL1CIJYrXZhnYbj3EI5YaLQoJEJN9vIy LaEfbezM31fokBj9uwbU+cW5rK2t/g4XyzS6UHTbWJHJylSuBhfSWTOnrspMTs9eS71el0ebuzKZ TGWruy9dUOH9nGFBc+QOXVWT/d19+f6nb+UZwqN/mFWfBQoGql92dw7l7dvXsrO/I6dnbyncoPB3 sjF2pfxgVZ2OLw9s0qx2+SfKfvo9oNmQ93m8+8z6t0wWJhWDoWLUrlmYcs63tY+z+Aadn59Lq73G fq9P3RQHs2zgwniIEtXdo3RnLj0aKgqRZASbkhlIzZgDxULCjygQ789kQgnR4pugimODm2OXwNIh gVnHChKsw+IxrtwrKjVGOBGjXMz4VJovQhe9TwhLDDVxZ4Js8UBSScMahh4eYplkZQVJqIzfpWaP zbWGvDx6SZJexOccQSlRLIRvDYZd51cn0t1+Tgp3Oha5d5Qh7aDBAxqb9/Tq8rLMmk356eXf5enh +/LnP/1F3nv2nqy3OzKZDcntqgCpIa8odrpCnkiQapWivp8Tef78fXnz5iWFo3e6+5RywpWjQabI 2fVreXP2i3z49Au5POvJ3vYTaUxrcrj7B65Ch/sfyg+/fC9HJy9JYwkWzVWRwc0lrbzba+v2bgCs UW0xFchQ3anvv//RlGFqVFXv3fbk8uJybmsEpfbzq2P54ee/2bPl4+Ho9KV8UXtBcCdDsWgLrp6J abkC5YSoB6d/NFEYz3lxdSLr208ZdpOLFd1IU6dUN2TR/YSGEh4SpRczBMi5WEYJYIgyVvGFcE57 u3l2OhnhpTL+TTaaQXe3Kr4FolSQJUWC0X3ZNVGIuHuksjtziJPWqqMATEUkcssulvxMQI7ETIRE lNkCk9ZRk8oYmfoybKvIaDhlLYa3YbpKVUB9QOIx8MJqpqSnSShVoS8IkCLy16//LJ9//qXS3dOw GCoeV/dSOWzIf77435rHocKkDuotCMoR5anNASIq4Wr9p6kv+cPeU8bh/cGVrK9AtC0OLPTd9sah NJc60u8NZH/viXz/49fy/NlnKo7B9q7LR08/kkH/Uj784BPVYuagnMpl75i+l0z8ccHTMLMCFRvc IxPOVf0921yjrV8e/SpP9mBwVKq1j+T+5l6ef/DHbDXy4254YwliXE8/oys2qe9o8/madIZYxu+K ulZ6fPjsU7p0bbTa1Ge0TLpL2avWU8qRd7sCNnYBNbDA0ZEL58sYuuOOrcESwUzllcM00Zvk9YpN ugjp0wd7TwpqdPxGXDQzGbvoQ5HtF/ReqITos2vCtVI+GfrYt7367HjphrM72dndTwIlH0Qzubu9 kYO9PfPzszu3NkPRWaej3uslLK7n8HZLn0rbxJWjSk6SOizZ/o0C35pl1vlKz+eSSzHiQPtGnlOs mtT/3N7fSGt1Q7V33VPFHHPba2syvLuhw3ENkkbIQdCyDt8ZyfnFqXz56Vdk0da0FpoDXW8b/3Xu mUmJGushTKIBfcIxltvb/tz44pPNRHZ2YEeHMThfTKXqKMgZQfPGHo1xpfm9+5iODWn21VrgNzcF hwKVGUIs8IwsD2LK1qpwElcQLI3Usapihi5RLIRYKjfJCS3pJHCIwjKXxPFaMDWT7378Xr74BEmi As2ZzuTt2WvZPdizVSJvsPMetGo7rExUHM0Yv0C/QMfHypS+IPC0EPCmEL7cJ4oaycADooFw0xVe 7FUZze5kexectEXUdLWW1hUxR0Kubs7l8eMnlFV1vF+z4wiF1PgFwEHSkGwihIhIIhLZKV4gCk8g 9DKmgAXGWpVX9XDOyX6m4uJ9BzUV1MRnfYeQVH0bW822TMZQJ9lQYxkk+cZVimQjYbm1sSuzscss TeT10a9y+PiJlT48BLI4hxZ10lAopSWwLrCHsFPDmihbqizsyDnT8VjuHyEdu85xhkxSKSXKsLo2 lYnB7ZqSUgMnhnXk300KFEu5XWoYVW7SnYuFisKJGdqTW9QUAUcovG1mPlJFNZ4lA7FUFxBpRLFU vCuUx4Ka4uY6Yea2ZV+m3Nz676UIJpOIY03qUf2uyE+Mh2CK4b71BXHHOVwVhH0kJ3OvPxV7ACUf +5qI2/sXZvL9N3+RF5/9d2Y0ytcEy7MjIcWqRGV80Pk9UZh03HprWwaX97Le6uoQ5j6wRpKyC2Co XXX6goAGj2dWtXwfH/4F/T0XnnCQ1iRZ2T/NJFxVqgdpO+QcOdU/zUuMqNy+uQ6jItrdyHc//V12 d3ZlcH0thwfvcfamoDNrz6Nca7W6JBeXfem2YT7kEkoGaiDhTH4awkSbqSlIAUo7ns3EKix2UaNN TAqOQKYhN6cp+fbrn+TLz/97bkVmE1mFIh4NUQBhDvOFZzlHZgplAh+smC65WL6yahjMRKH+zGno JUfIlrugPuerQz64AtvGlnrV5o1L5Ty3Rnu+28Xg4atUIB1pKGJ4ThaPa3ktyHwaMtjn4IIFVKyQ M+V39fN59AYvICBPp5gk+lgMD9RaeP5wHWIvF4ifdFot6td22oAmcW4P6VJkrzxbcOKI4WIWc3v4 irDKZF3DdW2m9qRlWCmcNbAIgTS2tBGYQB/96P1PeSZUbQ5gt7C8btQP21txGNQoo3pydiTDhzs1 53RgxjRF3G/Qr+8r3tz4srA7Daz0GZLbtPJn3be6tm7yuau9m4hEBK18NbGXNBlB3ndhRGXndC6W VxTyyziFUYozmFfj2DGXTRdsyOnuEyz7WN5NojHE8abujs/LzZWjWIu4WDrmTcGdtRr5CoKfP4yh pgcBA+0AbspkIuPZUB4mcB6KZyNqgfuAjtXk1hojReI0iYfkpA5kJbqx8Ib30JBJwcViqEkbZUPo slUVN6ThKsI2hIxgNtOrHGHgbChD3EeRB6E/HjhvVB6PBkDhuRmagcLiA8sGHHlhSpMHz6uESYEc TXgf4HclKwjYrlNtk5hfmZJbVa8tycNsQJX5p4eAhHWPoo60KAaryE53l6HLn/78f2Wju859DCKz /uBC6stLtLn2Ycr6G4RBCCGBeLrYoMEX5FhVSi6WtjmMfM77Z/Lzqx+ktdqSR9sox4gHxtfE2iXN 02uSUAUwPKmsn6AMdfSPuVj1YcLFqlTk80//I+FiORqj6u4eYmn4km46p9R/0sosQ2WcizVBzIiQ IUHG4mNJpYKKQg+J0j7FRVUGtUIULJ+d22tdaTZWiaQEllG1yoavVxvSrKFmPY9jkZGvV5alWbP8 Q2HRBiSuUV0NUtjOKB4BSiY6lFb/+UQOerwiRCWygkIlfo7PqtB4RYCCF2LMMG8J4tVFGS/bbQJ+ l6OFfiGbeFybjBwiLwyySsXpkqGJKe9NWRAI28hrg75XQn3BhNKoLctSHYZDBR2cxptNef/JM3nz 5lc52PtA28aSmR7nA5V68cX/kt71JcOWTrsjvV5LOisbpovlDaLuYIrgLc3V56MoSsU4TPw6aehu e4vq9+8/+VCvmS0w2i6QsXWoPES7TPiqAIbHBt53KnbnXCz1BwnPDyY3QtlJUxOFcXlMKq+SSkNg 2K1WR9GCVO8qLrp24nRI+mY8baQ4XLlvMEvn+XSuXyOaxqdHq9WK57ZNqpcHUyPKezmcrghR5s4Y vSzU7Cjyg3TPa2FIefDRYjul34i5Km18T47pWd+RoENtu0IyUbom3L9fIQ7wVNdLE3rz3o3hhbCb 4jOa1iqJ0ibKFlvT+U8qz4QXAHUYg7uetFcQLs41gao/djYZCcDn5LR3Iuvrm1KtuBcL0CRThXKV v7SS1ZDO1hpWHC/TtZ6hzGyUgou+KEk0YnbjWpjmrewLbdkz6Y3Hts76jv1vXCxS1d3/j3wXw9EN ZUAdPL661m4y0YZCpmy2tOQPOUf0tvLO1rjn97lYQ5lSmKGwEsY1qDmF5FVJTUfbgsM1MtTCuVia /BlO7+R+3M/pzWy4MUOJ24f+QqoJZETvx1fSqNZU5xXgKGJfT/YVYZ4iRMbz8fcnQ0JUKwwhFms5 +CTK+UKYodKi6fk0zNDk6YiDGMIVqC/3A/d4NxoEdqpXRuL53hy9lKVlz4PEbDqe05+7OoNyP1jU FVluNtkD7H+EwCa8TcgbLwzqsiZDFrXt7m5J7/pcrm+n0l6FWgooKw7QGlSOjW+lRmnU+/aNeqLM 7mOqwEx01OsyQTWteAnh6Fqrad6B2q/9674MBn0mCns3Z/Lq7U+yurIq3c08xGIYiySveW3yZ9Q0 K68X+04NgDRp6fvvOGBUHANtw4rCMFszkZQnCj3UcB2nOZ4TBRHghW1JqISLBRvod3OxFP2qLuBi YY798rOvrEqxJBY6auHUdJMO4uoBLdUVaTZameeIi0ZDcR12yICOc6hwKo3KmqzvxgguAAARwUlE QVQ2OrrJm7itm0ijuiwnb08pNJBNM/R0xD3U3qmLxTDRBQMsdic/yCjYpSaxImMWZkzr0oCUD/YU 1s7QEVuut1TqPy3nmlXlYO+prCy1rQ8SBcHKVJYaq7LSaEmlsmwzrchsbPXtuEdyyqJHhj9fBfdh JQkba/ts6zfHv8lj2DEY6jOnpzebSaO+JFe9gWy0kbvQ9kUfcw1N+X5hLHjaAW0JWoDef6fVlU5r gy/1xdmFHO5DVQdFePnM4mUYYbVPuVizRVwsW73YD6W4tkUQNm4jFyvVcSq4WPHfiyx3VZw5Jhf9 Ysn5vDGyc87ewcWKypuRW1UukSkSlCBOAY3PESKCNP4D//dsASGPBkKav3G9q3qtKScnx6RalPuM yDlacJ9sT7+3dIl5B6eNv5N+x/TEkudEKBHMjZjUjTNwCMwDrOUcOqeGY8AnyUnkOrL+SDbGgY9W CbfG9CAmyiWkHUEdcbCm2HvJVHq9S3nvD88yXlg+FpLxlajt51y6eEZ70xfwtJIxEK7l1WvvHl/5 fThCmg6I2Ed1LOlstCpsAJIQK2zyTDmdFssaRqVpe64wS1jOhrZJR9ZWBeJc4wkcIS0Z1fDMYVNS pWn6WHCxgHZgeQezNoMs9QAiw6J7OqomTAEmg8zit5gRVE5SnwF2YjmKFX0WvXhMY2UstVWaA6ns ZRpaVvhzRQHnXp14PX7usj915pSQnIt6ZGm/mJU1ygoqWjH58IDknx5A5/p3PcANFqRqAg6f3wyv pX5fDAZbfe9GN3J9d6VARKMmjYauXJTqtDZB6KxtaDBtDf2F8YAN9YivBI7drV25GhzLUn1Z7q4f ZGtzx5K0/uLWZH//idw9XMng9l62t7Yp5oFCNlXeBzcvMSuy/gtcP4b8WUsy6Rh4gja+b24GMhgM eM+X/RM5PntJtNDDPsxxnUctVcpH/6UolpkmTT05XIwxp8LjT53JHGaBVDwh42L5rMEQC0uOI05p PIebsSQhO061n/T3qjK4uJetdWz2gKCYHFDYSKn2bo5aqEBaxuEqDkqLuo9DqHNGK2MwOQ2+iDk5 QWvF5JzAAmvSo+hERDWUecolvHxuoFQITSBuUV7PrulUa20PzMzqOxEMewr0TkMsR+9qslTHn9Xw ebO2LO2VdWsvyzlYuACW7eOt9Xm/vspM+o2edPB7EJggLMlW42QSeGFBu9b+MhSuAgpKMh6qo2XZ WGnI/ehONrc68uot6lXacjO44cBrra2pUF+1Ti5e76Inm+tgGbvnRhHGmzK7o1HK5yv6ezoizT5U ps4q0lrd5B/83tn5sexuQ+3e3h7Lh6CkGdw88v3KvgsctfkxhmBdk8NILBvniFVbgWuVhCiuUYss L3WZCpzdal2jjU3y4LQF1pmKb3VyI8yW14LjYHKTxvZFDYplifNRpJOVFiFFxEMjcr1HRU1yqNCb zpNOmcxL0AWLlWjOrQq5huwe9bPl5aZcXV5Id313wWus4Y2qmLj2k+0bTI9pjlWEiaFW5vIBWiA0 SkMzw2a4MjpJEH+0vkO/6+3lK0PEBR31IvfLbtwHkPoJApyZkJoStRTscxalgXuli+LhHow9Z+Rz UZ9AJnJ1fS4bra6srnZshYt2dUEzKwBr2ibK5SrxKWvHijCp7IhX2m/8H1nP7q+ehtBa068WbXnB WcbFCqe0cUsUS8dDnUiRhVHgRM04Y0S2K5uyqhVYk8pEaioPkt1k4GmRQemohm7wx6juAzozw7Jq fuQGo04muPbYBnU8cDfjhbpYekUujZYYYvWcAwpVdI/xblJkjDkDcJwUbaPhTRFigadF1MleZb0S zjWVsauAF6tSc7Umv759KxvUpM0PPAFFIhguGZBILhaSdqZkXuyTkGgdzUDJH0nNNcbAVr2/k/F4 TAQLHC9ueJNMOs59N7ySh/ENN/ZISKTTjXozGt09mxi0PID+kqHkQImb6KPJRKv4wqxkF4RD8bhy x2ulpM/w+6wyVL0pqzrXkNRV0xNUyRkB+Ozt6UtpddrZRMrdFfhSDX2OBIzmsyHMQth5en4UaDD4 FNgGkoeX15fSuTxh+25tKS3GEUi0s96L52PsmhTUMHV3coJI49cQBcmkVGiZ/CAiGia/CT2jQrxa xRBUm0jlXDBYcaMPdHqtTleiYJ4pneMHP33/G8mKOe0bqwcSk0gkKkqkUkJJDElL6mYIJ/DQ6lNh aBt0sRJFcQsOVAeJv5fXg6AboV9FGrZ9V2cSVQAEvb4yAaafroBmPD9BJSLCx2LbU1V+lHJ9dMON RCFeFuVa4R5j8lHHJMQc9B4jsjeTlWZDkFJo1leks9qVGgetfWrCzSvNlixV4bJbS8prdIasBVGN vLa9goEH7pfRz3WVcwQIiw84TJFH53daFf29ShUq+oXzFqow6T3pYbexvGdw8kWYheSwt7MH24pg aXtp1Wq8RwWAvv367/LFZ18lWUD9/fbqkrTXNmV7E5WiFrcwwzCTSX0k/d6tbHWhJ8D64NDW+Bvj QflrBWbD8FjbjOlazkbk+KeJpaLLnZOUIibWgemh4a2FXbWqDIeo+UhnC13CKcNpy6qGUsmskSQj Q2l9Etbp/RpcGe7BVzzX2cqGqy2r8Ztz2koWtiiNMUH4mY31biwO0mBcuCHP3QMmdg0sp/irLpbt NaLiVjYjxtXel343lkG4hnoH84okddyXHq2H0Qmo9FeKQJC1QtF39icon6QR9myBnlT6rOXn1l6m M5UEPPHaXN2NrqJKb2Fsef9EU2fjAdKtSrXLeJ5C9YTPnoyAsBXJmP//gIuVTn6sizIu1tnVCcmC G5ubXN5Ry5yXuaoQ53h2I1JpyjTAg3420KmHYEFpKOGicVWFA5EMvLw+4rk2NrqqDYUXozKRR1vI iCNZlTfyaHonFXJzwF/SEDDtdehikRdGtfMICyr3CZ9Z8if0NlrWl3cgF+kKop0ILSqGYOEl03gb m2VyfQpTHk3URT5P3OFad3AgaHUmpwBDsYC+4f6xvM/vWyZMBnJzGeDK5FNHeoxPNQ6Z9Kpy5fhZ EcHTwnsU+XDhY/SjUb6J3qlKpdaP6Ao4E+WF6REHJZ6NCJ71wfz1wL+zc4ZXH1GFeV1aiDUc38pS c1mp9TOYDjUolFAKDILKz3O6Gn7GkkAoZZ/ZChJEJtifPh6SIcslxhBW52Ilo/q7H76RDz9+JpPJ vdTB8+fyT8lLVSsvVcVZcYHQhVRr0N2TeA2dRhVzOJQS86HEJqX4p0KxgI3OVjaTKXN0JKdvzuWg +0GBKgHNmMrlxansbq/HqsZ0BeHyV+f9ZrpYvHNLImYFMkZuIe/MknvZPgphIhTqQYWPhVOqyqGJ wDm+FWe2SdTNKvbwb179IocH7xvF3FYDhIsToFgaSszxu0AUrC7TIEdtoPNDuUq4R4XTQ06PiOGi 51aiJ5Gqkl5vEwE/S+jgXN1c5Hpalyr5YkmIxclvLGNUSwKpYsicnnOShJaui2UrBj0krTyASdhV OXl7Ip12l47Bfzh4Jq9e/yKP958GLhrDM2id4ZxenWlRCKzf7sfXsrNxYKEZ+hXsi8jwjeMh7zst +446XOl4+Pj559K7vJRuqyN1JSMaaAgc2WA+8F9qNZMNdZaIoTxlvOaWvyR5WQxIDhJRrzR+tXGQ BEC5WYJ+ikzsyfGJ7G4fkq81ZlCd7EG4X/IYNsajKne6iOeUWqJ4fi3FxaNspclxqTqvtVperjl/ xHPmP9PcfqK+5IhRiWP6QdMgKLAA1YE1WUn75uurq7qxCLSi02WK8pVYczmma8bBkrOOPIGo2hQp F0uL1mosdo8vhp+Tm+Aq8iQLTDdJOTGLixTsJBfLtNB8V1hp0g2r3+/J3d1ANrtbsvvoUHq9czKD 19sohwCtZRTNcAjKYGLUCtjJ9EH29/6grW2JW6pRWkmEmi5NpVY3ekwIN5MyDkumhnsllKkIZP1q cG6ymFUZTwfyMNTkm6ezO531YAPNZckssfwYTR6kf3spd6O2rDSBgXPxtz0R6M1Dcl5iM1kXW0IM nKTUvIS3CzSqAp7WvQwfpjIc3mafP0xvZVZty0Q92ayzjd5sttPZoHYqP86Jaj0rLY59asgLJD8Z Opl3PL8DQ0roaeUhEfri8upUnn/8VCsDC+hYzVmg7G7kOu49NHlKa2wm54qxBcnVmaqRX/WvpL22 kTFNMTcC0SGzy8etaXwxvEJbJgIYGtdrwRETbazcTC7qYhxAsUwni+fiGwDLjqE0iGryy3ZO5VQh dIbDb0leRYjtiCCJhikXixbX9yJVWH/7+WbSWW+zwvL1m59lf/eJLEtThsN7+fnVd9Ld2CQieDu6 ZoJxYi8YE9gm7u3aYx6qu6afcrGQKBzL7f2tDIdICupYWes0mECE2jwBqiwqmhAZw5agDqN6W3Dk YVyTZn097zUKAzt126r/kkZuVKvSWunIylJHdaKs1ysTjWHPTy9ls7UX8Pv4miRiDwXMBgQCSA2W 1GajJs1GjiBN+/AptCWcHesrmeliLZD0pB85QxusirkYnfrrmYSoCU7oDKiFVJq0LHlTKlygiuT2 WTILudo9VccNxdHZVZf2Eq3xdoEtN+6jtVqXq/4Fw5h+/0YOYIRp/C9cV1nHtiFm5dwCsQrb4OI+ XK08fSs1ufoOLpbppElAzPL+c05VSfQDz00/U02zAJgApeK+XJXr/XzMrTGBOJabwb1Ud2qy0ujw z0ZrJ0xfK0svNUlNiFsBEKSKVxptOT85l+1HhxZ2OvCTc7GWl/BnLYwHTNq4z432o3ys8AGxt1Ju ohno2IrBm14QogQ+y/x3tEjKvhOnc5vZ5sMra8aCk1R8LwT0/tk7uDR+L7rk/b4ulut2pT535flS 3SzP2YRzLriHtHpxLsRJ9Jgyd6PfOWdiqgOIe6O1zbZorbalP7iWu/ubUNClv+//rv4OV8mfY0H/ hvLb6u9wsSoFaGOxWfo8WXxiyJS3i///ss+yfiyC00U6aeH5VJiBUcoMr8yKHB9/Lduwg+BYcKWX 5Frv0h/7XS6WnqM+uLvSTXoFK0hfRs4eTU6GJefm4Upqt+pMm6m7VydyOxwQeYKOrcawGtNppR64 N+PkJdR7Qajw0WfPEg+/eNyNbuVhfCeD296CBtQQi+ELEBRTJNF6ZKWm57pYXi+tJj/UxQqSmAny YiEd43TTIA5cLPesSw88A7WoNFTSZFj8mDKnriTvQC86xCRQ1Uin3LWouAKRHtK1Q7pZWq01WV5e YigyCQIS/jkQLUejis0ojYM03Iv7Agt1Z85Pw+9FD0N+Wq3IN3//q7z45KucuGgmPxTpIG9qHjXT sAdtCbBG74GAh5kGxbbUPRF6/2F8L/ejW+nfXhV7PiCoI1Y+puMBfLKlJc2nAKVD34WksXHxNLlt yF/5Ehp6F7hY2XhwWdKh1Fsr60ZHwAtSlWa9MzcQ8NCj0QOTVCqwkM4YY1ld7ku9qsafvsvQunEv mk/5PHqD2FB9+7e/yotP/2tuhVhttFhxR/rCghVo1EeHqp8gwxbjYlWBkpgCeAbJJihW4GKlj4D7 lCWGUo64xByEqrDP87vMttjDF/uZH6pD5ffi6B384RXFiry32GlUFU+4WGWKoQ7eF+8/QbiM+eOf zQEilGO1Kj5eLwmHqItrHDRy4mIOCLPOJx9+ZvcfVAdCeyOclqr1QXqjaEuaMul56fNodnnnl2eW X4jjgX/PKuSdoUq0vbo+Nx7wEgPd0/EQWjPOD7gO+i4kQEyYgS52iVZYPGFRUVgiT8rFwmfkYiVb ywTLj+hQTAgFueR0dCUokbuXxLg/Pklcwh0XjwID86tWCDXsBc0GPH9uJDfjNelZnEvmHK4YM+t3 jG9mdezpKHMDHE7aQVXeG24+MaraXt4ufj0zEhJdVf/27Z/l049eBMQpseMJ+7B4WmtHb8+5e4zJ O3ahwdra3J4KLlAsk/2J09KcTHiSkHSOmpkBZX0nSd95BaL/u2A58C8Pq/TfuIeXr36VWQOFZ7ne QVixQtvMU+hTAMT7Mj18Wk45dnofRUVlcmXtZm/rWGjl7aTXrcj/AEenpcBApKTnAAAAAElFTkSu QmCC 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 20120530 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. http://www.nationalcad.org/ http://www.blm.gov/or/gis/data.php File Geodatabase Feature Class BLM OR Cadastral PLSS First Division Polygon 2016-02-22 Final BLM Cadastral Survey vector digital data PLSSFirstDivision: This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail. The CadNSDI or the Cadastral Publication Data Standard is the cadastral data component of the NSDI. This is the publication guideline for cadastral data that is intended to provide a common format and structure and content for cadastral information that can be made available across jurisdictional boundaries, providing a consistent and uniform cadastral data to meet business need that includes connections to the source information from the data stewards. The data stewards determine which data are published and should be contacted for any questions on data content or for additional information. The cadastral publication data is data provided by cadastral data producers in a standard form on a regular basis. Cadastral publication data has two primary components, land parcel data and cadastral reference data. It is important to recognize that the publication data are not the same as the operation and maintenance or production data. The production data is structured to optimize maintenance processes, is integrated with internal agency operations and contains much more detail than the publication data. The publication data is a subset of the more complete production data and is reformatted to meet a national standard so data can be integrated across jurisdictional boundaries and be presented in a consistent and standard form nationally. Travis Thomas Bureau of Land Management GCDB Manager (503) 808-6164 (503) 808-6190 P.O Box 2965 Portland OR 97208 US t2thomas@blm.gov United States Oregon Washington Geographic Names Information System (GNIS) Version 2 V2 Management Geospatial BLM Parcels PLSS Special Surveys PLSS Corners PLSS Sections Cadastral Reference First Division PLSS Public Land Survey System Cadastral PLSS Divisions FGDC Data Content Standard Parcels PLSS Special Surveys PLSS Corners United States PLSS Sections Oregon Cadastral Reference Management First Division Version 2 V2 PLSS Public Land Survey System Cadastral Washington PLSS Divisions Geospatial 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. Users assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for 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. Users are 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. Users wishing to modify the data should describe the types of modifications they have performed. Users 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. It is strongly recommended that these data be acquired directly from the U.S. Bureau of Land Management and not indirectly through some other source which may have changed the data. It is strongly recommended that careful attention be paid to the content of the metadata file associated with these data. Users are cautioned that digital enlargement of these data to scales larger than that at which they where originally mapped can cause misinterpretation. Users are further cautioned that these data and interpretations derived from them do not eliminate the need for onsite survey and evaluation of specific sites for intensive uses. The U.S. Bureau of Land Management should be cited as the data source in any products derived from these data. ESRI ArcCatalog 10.2 publication date 2016-02-22 -125 -116 41.5 49.5 1 -124.807603 -116.419586 46.297058 41.919754 Last metadata review date: 20140715 Data conforming to the Publication Guideline should follow for the format and structure of the standard for published data. This means that the topological relationships of the PLSS and parcels should be followed. Level 1 conformance to the guideline means that the data follows and conforms to the structure and an active data steward is identified and engaged in data creation and maintenance. Level 2 conformance all attributes that are necessary for essential query, extraction, labeling and use are present. Level 3 conformance all attributes as applicable are populated. The Oregon Data Set is at Level 3 of 3 Conformance and fully complies with the national standard Data conforming to the Publication Guideline should follow for the format and structure of the standard for published data. This means that the topological relationships of the PLSS and parcels should be followed. Level 1 conformance to the guideline means that the data follows and conforms to the structure and an active data steward is identified and engaged in data creation and maintenance. Level 2 conformance all attributes that are necessary for essential query, extraction, labeling and use are present. Level 3 conformance all attributes as applicable are populated. The Oregon Data Set is at Level 3 of 3 Conformance and fully complies with the national standard The Subcommittee recognizes that not all data is available in all places, but the data that is available should be provided for publication in the format provided in this guideleines. Exceptions to complete data should be noted by the data steward. The Oregon Data Set contains all of the available GCDB PLSS data. FGDC Cadastral Subcommittee developed the Cadastral Data Content Standard and submitted it for approval to the FGDC. This was completed in 1998. The most recent version of the FGDC Cadastral Data Content Standard is version 1.4. Federal Geographic Data Committee, 2008, Cadastral Data Content Standard for the National Spatial Data Infrastructure, Version 1.4, Subcommittee on Cadastral Data, Reston, Virginia. 2008-01-01 In 2003 the Cadastral Subcommittee met in Portland Oregon, hosted by the Forest Service, and defined the polices and needs for establishing a robust Cadastral Publication Data Standard for the NSDI. 2003-01-01 In 2008 the first draft of the Cadastral Publication Guidelines was published as GIS schema. This document has been revised through the testing efforts from Wildland fire and the western US PLSS data set developed. The final version of the publication guidelines was completed in the Fall of 2009. 2009-01-01 The Oregon GCDB Office will need to be contacted for complete data processing details 2010-06-01 BLM Oregon State Office GCDB Manager 503-808-6164 503-808-6190 P.O. Box 2965 Portland OR 97208 OR BLM Oregon GCDB Manager reviewed the spatial and attribute data and found that the data continues to meet the needs of the Bureau of Land Management. 2013-06-10 Tim Keck BLM, Oregon State Office GCDB Manager 503 808-6164 503-808-6190 P.O Box 2965 Portland OR 97208 US tkeck@blm.gov Alias Names and attribute definitions Revision. 2013-07-22 Tim Keck BLM, Oregon State Office GCDB Manager 503 808-6164 503-808-6190 P.O Box 2965 Portland OR 97208 US tkeck@blm.gov Executive Order 12906 calls for the establishment of the National Spatial Data Infrastructure defined as the technologies, policies, and people necessary to promote sharing of geospatial data throughout all levels of government, the private and non-profit sectors, and the academic community. 1994-04-11 In 2007 after a series of workshops and meetings with key business functions a set of core data was documented. This document was published on the Subcommittee's outreach web site (http://www.nationalcad.org) and it described the data and organizational relationships for the maintenance of the data that is the Cadastral NSDI. This document served as a standard for the Cadastral NSDI content. 2007-01-01 dataset EPSG 8.5(9.0.0) 0