From jxv0303@doh.wa.gov Tue Oct 19 11:32:10 1999 Received: from mxu3.u.washington.edu (mxu3.u.washington.edu [140.142.33.7]) by lists.u.washington.edu (8.9.3+UW99.09/8.9.3+UW99.09) with ESMTP id LAA42094 for ; Tue, 19 Oct 1999 11:32:07 -0700 Received: from smtp.doh.wa.gov (hub.doh.wa.gov [192.230.1.5]) by mxu3.u.washington.edu (8.9.3+UW99.09/8.9.3+UW99.08) with SMTP id LAA13365 for ; Tue, 19 Oct 1999 11:32:03 -0700 Received: from Connect2 Message Router by smtp.doh.wa.gov via Connect2-SMTP 4.32; Tue, 19 Oct 1999 11:31:41 -0700 Message-ID: <49279A4A014C3700@smtp.doh.wa.gov> Date: Tue, 19 Oct 1999 11:31:22 -0700 From: "VanEenwyk, Juliet" Sender: "VanEenwyk, Juliet" To: ph-assess@u.washington.edu Cc: PMS0303@doh.wa.gov, cjw0303@doh.wa.gov, crw1303@doh.wa.gov ("Wasserman, Cathy R."), Subject: Race/Ethnicity Guideline X-SMF-Hop-Count: 2 MIME-Version: 1.0 Content-type: multipart/mixed; boundary="mime-boundary-iaanaaahem-0001B581" X-Mailer: Connect2-SMTP 4.32 MHS/SMF to SMTP Gateway This is the preamble of a multipart MIME formatted message. If you are reading this text your mail system is most likely not capable of properly decoding MIME messages. To extract the contents of this message, save it to a file and then use an external MIME decoding utility. --mime-boundary-iaanaaahem-0001B581 Content-type: text/plain; charset="US-ASCII" Content-disposition: inline Content-transfer-encoding: 7bit Attached for your review and comment is the draft guideline for use of race and ethnicity in data analyses. It is a little longer than we would have liked due to the change in the 2000 census. Please send your comments to Pat Starzyk (e-mail in attachment) or post them to the list serve by COB Nov 24 (i.e., by Thanksgiving). While a quick reply is usually appreciated, DOH's e-mail is undergoing major changes beginning on OCtober 22. Since our old and new e-mail systems are not compatible, we expect major disruptions. THerefore, it's probably best to send your comments after mid Nov. by which time we should all be on the new system. THanks. Population denominators to follow in mid Nov...... Juliet VanEenwyk Acting State Epidemiologist/Director Non-Infectious Conditions Epidemiology (360) 236-4250 jxv0303@doh.wa.gov --mime-boundary-iaanaaahem-0001B581 Content-type: application/msword; name="RACE4.DOC" Content-disposition: attachment; filename="RACE4.DOC" Content-transfer-encoding: base64 0M8R4KGxGuEAAAAAAAAAAAAAAAAAAAAAPgADAP7/CQAGAAAAAAAAAAAAAAACAAAAoAAAAAAA AAAAEAAAogAAAAEAAAD+////AAAAAJ4AAACfAAAA//////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ///////////////////////////////////spcEAWQAJBAAAABK/AAAAAAAAEAAAAAAABAAA 9X8AAA4AYmpiavNX81cAAAAAAAAAAAAAAAAAAAAAAAAJBBYAJQABAJE9AQCRPQEApnsAAAAA AABOAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD//w8AAAAAAAAAAAD//w8AAAAAAAAAAAD//w8A AAAAAAAAAAAAAAAAAAAAAF0AAAAAAOACAAAAAAAA4AIAAOACAAAAAAAA4AIAAAAAAADgAgAA AAAAAOACAAAAAAAA4AIAABQAAAAAAAAAAAAAAFAEAAAAAAAAUAQAAAAAAABQBAAAAAAAAFAE AAA4AAAAiAQAACQAAACsBAAAPAEAAFAEAAAAAAAAehUAAPIAAACMBgAAAAAAAIwGAAAoAAAA tAYAAAAAAAC0BgAAAAAAALQGAAAAAAAAKwsAAAAAAAArCwAAAAAAACsLAAAAAAAA8hEAAAIA AAD0EQAAAAAAAPQRAAAAAAAA9BEAAGkAAABdEgAAcgEAAM8TAAByAQAAQRUAACQAAABsFgAA 9AEAAGAYAAD4AAAAZRUAABUAAAAAAAAAAAAAAAAAAAAAAAAA4AIAAAAAAAArCwAAAAAAAAAA AAAAAAAAAAAAAAAAAAD7CQAAMAEAACsLAAAAAAAAKwsAAAAAAAArCwAAAAAAAGUVAAAAAAAA Gw4AAAAAAADgAgAAAAAAAOACAAAAAAAAtAYAAAAAAAAAAAAAAAAAALQGAABHAwAAjAYAAAAA AAAbDgAAAAAAABsOAAAAAAAAGw4AAAAAAAArCwAAPAEAAOACAAAAAAAAtAYAAAAAAADgAgAA AAAAALQGAAAAAAAA8hEAAAAAAAAAAAAAAAAAAAAAAAAAAAAA9AIAAK4AAACiAwAArgAAAOAC AAAAAAAA4AIAAAAAAADgAgAAAAAAAOACAAAAAAAAKwsAAAAAAADyEQAAAAAAABsOAACcAgAA Gw4AAAAAAAC3EAAAHgAAAPUQAAD1AAAA4AIAAAAAAADgAgAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8hEAAAAAAAC0BgAA AAAAAOgFAACkAAAAYM4GXVYavwFQBAAAAAAAAFAEAAAAAAAAZwwAALQBAADqEQAACAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQXR0YWNoZWQgZm9yIHlvdXIgcmV2aWV3IGFyZSB0 aGUgZHJhZnQgZ3VpZGVsaW5lcyBmb3IgdXNlIG9mIHJhY2UvZXRobmljaXR5IGluIGFzc2Vz c21lbnQgYWN0aXZpdGllcy4gIFdlIGludGVuZCBmb3IgdGhpcyB0byBiZSBhIHdlYiBkb2N1 bWVudCBvbmx5IGFuZCBzbyB3ZSBhcmUgbG9va2luZyBtb3N0bHkgZm9yIGNvbW1lbnRzIG9u IGNvbnRlbnQsIG5vdCBmb3JtYXQuICBUaGUgZm9ybWF0IHdpbGwgbG9vayBkaWZmZXJlbnQg b25jZSBpdCdzIG9uIHRoZSB3ZWIuICBXaGVuIHdlIGhhdmUgdGhlIGNvbnRlbnQgZmluYWxp emVkLCB3ZSB3aWxsIHBvc3QgaXQgb24gdGhlIHdlYiBhbmQgc29saWNpdCB5b3VyIGNvbW1l bnRzIG9uIHRoZSBmb3JtYXQuICBXaGVyZSB5b3Ugc2VlIHNvbWV0aGluZyB1bmRlcmxpbmVk IGFuZCBpbiBib2xkLCBpdCBtZWFucyB3ZSB3b3VsZCBidWlsZCBpbiBhIGxpbmsuICBQbGVh c2UgZS1tYWlsIHlvdXIgY29tbWVudHMgdG8gUGF0IFN0YXJ6eWsgKHBtczAzMDNAZG9oLndh LmdvdiBvciBwYXQuc3Rhcnp5a0Bkb2gud2EuZ292IGFmdGVyIDEwLzI4KSBieSBDT0IgTm92 LiAxOXRohS5vciBwb3N0IHRvIFBILUFTU0VTUyB0byBzaGFyZSB3aXRoIGV2ZXJ5b25lLiAg VGhhbmtzhS4NDQ1HdWlkZWxpbmVzIGZvciB1c2luZyBSYWNpYWwgYW5kIEV0aG5pYyBHcm91 cCBpbiBEYXRhIEFuYWx5c2VzDVB1cnBvc2UNQmFja2dyb3VuZCBhbmQgQ29udGV4dCANRGVm aW5pdGlvbiBvZiBNaW5pbXVtIENhdGVnb3JpZXMNR3VpZGVsaW5lcw1JbXBsZW1lbnRhdGlv biBTY2hlZHVsZQ1EYXRhIENvbGxlY3Rpb24NCURhdGEgVGFidWxhdGlvbg1BZGRpdGlvbmFs IEluZm9ybWF0aW9uDVNwZWNpYWwgSXNzdWVzDQlFc3RpbWF0ZXMgb2Ygk01vcmUgdGhhbiBP bmUgUmFjZZQgaW4gV2FzaGluZ3RvbiBTdGF0ZQ1CcmlkZ2luZyBSYXRpb3MgZm9yIFRyZW5k IEFuYWx5c2lzICAgICAgICAgDQ0NUHVycG9zZQ0NVGhlIEFzc2Vzc21lbnQgT3BlcmF0aW9u cyBHcm91cCBpbiB0aGUgV2FzaGluZ3RvbiBTdGF0ZSBEZXBhcnRtZW50IG9mIEhlYWx0aCBp cyBjb29yZGluYXRpbmcgdGhlIGRldmVsb3BtZW50IG9mIGd1aWRlbGluZXMgcmVsYXRlZCB0 byBkYXRhIGRldmVsb3BtZW50IGFuZCB1c2UgaW4gb3JkZXIgdG8gcHJvbW90ZSBnb29kIHBy b2Zlc3Npb25hbCBwcmFjdGljZSBhbW9uZyBzdGFmZiBpbnZvbHZlZCBpbiBhc3Nlc3NtZW50 IGFjdGl2aXRpZXMgd2l0aGluIHRoZSBXYXNoaW5ndG9uIFN0YXRlIERlcGFydG1lbnQgb2Yg SGVhbHRoIGFuZCBpbiBMb2NhbCBIZWFsdGggSnVyaXNkaWN0aW9ucyBpbiBXYXNoaW5ndG9u LiAgV2hpbGUgdGhlIGd1aWRlbGluZXMgYXJlIGludGVuZGVkIGZvciBhbiBhdWRpZW5jZSBv ZiBkaWZmZXJpbmcgbGV2ZWxzIG9mIHRyYWluaW5nIHJlbGF0ZWQgdG8gZGF0YSBkZXZlbG9w bWVudCBhbmQgdXNlLCB0aGV5IGFzc3VtZSBhIGJhc2ljIGtub3dsZWRnZSBvZiBlcGlkZW1p b2xvZ3kgYW5kIGJpb3N0YXRpc3RpY3MuICBUaGV5IGFyZSBub3QgaW50ZW5kZWQgdG8gcmVj cmVhdGUgYmFzaWMgdGV4dHMgYW5kIG90aGVyIHNvdXJjZXMgb2YgaW5mb3JtYXRpb24gcmVs YXRlZCB0byB0aGUgdG9waWNzIGNvdmVyZWQgYnkgdGhlIGd1aWRlbGluZXMsIGJ1dCByYXRo ZXIgdGhleSBmb2N1cyBvbiBjb21tb24gaXNzdWVzIGVuY291bnRlcmVkIGluIHB1YmxpYyBo ZWFsdGggcHJhY3RpY2UgYW5kIHdoZXJlIGFwcGxpY2FibGUsIHRvIGlzc3VlcyB1bmlxdWUg dG8gV2FzaGluZ3RvbiBzdGF0ZS4NDUJhY2tncm91bmQgYW5kIENvbnRleHQgDQ1FcGlkZW1p b2xvZ3kgaXMgdGhlIHN0dWR5IG9mIHRoZSBkaXN0cmlidXRpb24gYW5kIGRldGVybWluYW50 cyBvZiBkaXNlYXNlIGZyZXF1ZW5jeSBpbiBodW1hbiBwb3B1bGF0aW9uLiAgV2hlbiBleGFt aW5pbmcgdGhlIGRpc3RyaWJ1dGlvbiBvZiBkaXNlYXNlIG9yIGhlYWx0aCBzdGF0dXMsIHBv cHVsYXRpb25zIGFyZSBvZnRlbiBleGFtaW5lZCBhY2NvcmRpbmcgdG8gc3VjaCBjaGFyYWN0 ZXJpc3RpY3MgYXMgcmFjZSBhbmQgZXRobmljaXR5LiAgQW5hbHlzdHMgc2hvdWxkIGNhcmVm dWxseSBjb25zaWRlciB3aGV0aGVyIHRoZXJlIGFyZSBzdWZmaWNpZW50IHJlYXNvbnMgZm9y IHVzaW5nIHJhY2UgYW5kIGV0aG5pY2l0eSBpbiBleGFtaW5pbmcgYSBwYXJ0aWN1bGFyIGhl YWx0aCBpc3N1ZS4gIFNvbWUgcG9zc2libGUgcmVhc29ucyB3aHkgcmFjZSBhbmQgZXRobmlj aXR5IG1heSBiZSB1c2VmdWwgYW5kIGFwcHJvcHJpYXRlIHZhcmlhYmxlcyB0byBpbmNsdWRl IGluIHB1YmxpYyBoZWFsdGggYW5hbHlzZXMgaW5jbHVkZSBkaWZmZXJlbmNlcyBpbiBiaW9s b2dpY2FsIG9yIGdlbmV0aWMgY2hhcmFjdGVyaXN0aWNzIHJlbGF0ZWQgdG8gcmFjZSBvciBl dGhuaWNpdHksIGRpZmZlcmVuY2VzIGluIGN1bHR1cmFsIG5vcm1zLCB2YXJpYXRpb25zIGlu IHNvY2lhbCBzdGF0dXMsIGFuZCBhY2Nlc3MgdG8gaGVhbHRoIGNhcmUuICBJZiB0aGVyZSBh cmUgbm90IHN1ZmZpY2llbnQgcmVhc29ucyBmb3IgZXhhbWluaW5nIGRhdGEgYnkgcmFjZSBh bmQgZXRobmljaXR5LCBhbmFseXN0cyBzaG91bGQgbm90IGF1dG9tYXRpY2FsbHkgZG8gc28u DQ1Tb21lIG9mIHRoZSB2YXJpYXRpb24gaW4gdGhlIGRpc3RyaWJ1dGlvbiBvZiBkaXNlYXNl IGlzIHJlbGF0ZWQgdG8gYmlvbG9naWNhbCBwcm9jZXNzZXMgYW5kIGdlbmV0aWMgdHJhaXRz IHRoYXQgYXJlIG1vcmUgcHJldmFsZW50IGluIHNvbWUgcmFjaWFsIGFuZCBldGhuaWMgZ3Jv dXBzIHRoYW4gaW4gb3RoZXJzLiAgRm9yIGV4YW1wbGUsIG1lbGFub21hIGlzIG1vc3QgcHJl dmFsZW50IGluIENhdWNhc2lhbnM7IHNpY2tsZSBjZWxsIGFuZW1pYSBpcyBtb3N0IHByZXZh bGVudCBpbiBwZW9wbGUgb2YgQWZyaWNhbiBkZXNjZW50OyBhbmQgdGhlIG5ldXJvbG9naWNh bCBkaXNlYXNlIFRheS1TYWNocyBpcyBwcmltYXJpbHkgYSBkaXNlYXNlIG9mIEVhc3Rlcm4g RXVyb3BlYW4gSmV3cy4gIFNvbWUgdmFyaWF0aW9uIHNlZW1zIHRvIGJlIHJlbGF0ZWQgdG8g c29jaW8tY3VsdHVyYWwgcHJhY3RpY2VzLiAgRm9yIGV4YW1wbGUsIGdvb2QgYmlydGggb3V0 Y29tZXMgYW1vbmcgTWV4aWNhbi1BbWVyaWNhbiB3b21lbiBhcmUgdGhvdWdodCB0byBiZSBy ZWxhdGVkIHRvIGhlYWx0aHkgbGlmZXN0eWxlIGNob2ljZXMgZHVyaW5nIHByZWduYW5jeS4g IEFkZGl0aW9uYWxseSwgcmFjaWFsIGFuZCBldGhuaWMgZ3JvdXBzIG1heSBzZXJ2ZSBhcyBz dXJyb2dhdGUgdmFyaWFibGVzIHRoYXQgYXJlIG1lYXN1cmluZyBmYWN0b3JzIG90aGVyIHRo YW4gYmlvbG9naWNhbCBhbmQgc29jaW8tY3VsdHVyYWwgcHJhY3RpY2VzIG9mIGEgcGFydGlj dWxhciBncm91cC4gIEZvciBleGFtcGxlLCBpbiBzb21lIGFyZWFzIHBlb3BsZSBvZiBjZXJ0 YWluIHJhY2lhbCBhbmQgZXRobmljIGdyb3VwcyBtYXksIGFzIGEgZ3JvdXAsIGhhdmUgZmV3 ZXIgbWF0ZXJpYWwgcmVzb3VyY2VzIHRoYW4gb3RoZXIgZ3JvdXBzLiAgRGlmZmVyZW5jZXMg aW4gaGVhbHRoIHN0YXR1cyBjYXVzZWQgYnkgbGFjayBvZiBhY2Nlc3MgdG8gbWF0ZXJpYWwg Z29vZHMgbWF5IGFwcGVhciBhcyBkaWZmZXJlbmNlcyBpbiBoZWFsdGggc3RhdHVzIGFtb25n IHJhY2lhbCBhbmQgZXRobmljIGdyb3VwcywgYWx0aG91Z2ggdGhlIHJvb3QgY2F1c2UgaXMg bm90IHJhY2Ugb3IgZXRobmljaXR5LiANDVRoZSBkaXN0cmlidXRpb24gb2YgaGVhbHRoIGNh cmUgaW4gdGhlIGNvbW11bml0eSBtYXkgYWxzbyBqdXN0aWZ5IG1lYXN1cmluZyBoZWFsdGgg ZGF0YSBieSByYWNpYWwgYW5kIGV0aG5pYyBncm91cC4gIFNvbWUgcHJvdmlkZXJzIG9mIGhl YWx0aCBjYXJlIHNlcnZlIHByaW1hcmlseSBwZW9wbGUgZnJvbSBvbmUgb3Igc2V2ZXJhbCBz cGVjaWZpYyByYWNpYWwgb3IgZXRobmljIGdyb3VwcywgZWl0aGVyIGJlY2F1c2UgdGhleSB3 b3JrIGluIGNvbW11bml0aWVzIGNvbXBvc2VkIG9mIHByaW1hcmlseSBvbmUgb3Igc2V2ZXJh bCBldGhuaWMgZ3JvdXBzIG9yIGJlY2F1c2UgdGhleSBwcm92aWRlIG91dHJlYWNoIHRvIGEg c3BlY2lmaWMgZ3JvdXAgaW5kZXBlbmRlbnQgb2YgZ2VvZ3JhcGh5LiAgRm9yIGV4YW1wbGUs IHRoZXJlIGFyZSBjbGluaWNzIHRoYXQgc2VydmUgcHJpbWFyaWx5IE5hdGl2ZSBBbWVyaWNh biwgSGlzcGFuaWMgYW5kIEFzaWFuIHBvcHVsYXRpb25zLiBUaGVzZSBwcm92aWRlcnMgd2Fu dCB0byBrbm93IHRoZSBoZWFsdGggc3RhdHVzIG9mIHRoZSBncm91cHMgdGhleSBzZXJ2ZSBh bmQgb25lIG1ldGhvZCBvZiBkZWxpbmVhdGluZyB0aGlzIGlzIHRvIGFuYWx5emUgaGVhbHRo IGRhdGEgYnkgcmFjaWFsIGFuZCBldGhuaWMgZ3JvdXAuDQ1Db25jZXB0cyBvZiByYWNlIGFu ZCBldGhuaWMgZ3JvdXAgY2hhbmdlIG92ZXIgdGltZS4gIER1cmluZyB0aGUgZWFybHkgMTk5 MJJzLCB0aGUgVW5pdGVkIFN0YXRlcyBPZmZpY2Ugb2YgTWFuYWdlbWVudCBhbmQgQnVkZ2V0 IChPTUIpIGVtYmFya2VkIG9uIGEgbmF0aW9ud2lkZSByZXZpZXcgb2YgdGhlIGd1aWRlbGlu ZXMgZm9yIHJlcG9ydGluZyByYWNlIGFuZCBldGhuaWNpdHkgaW4gZmVkZXJhbCBzdGF0aXN0 aWNzIHRoYXQgaGFkIGJlZW4gaW4gZm9yY2Ugc2luY2UgMTk3NyAoU3RhdGlzdGljYWwgUG9s aWN5IERpcmVjdGl2ZSBOby4gMTUpLiAgQXMgYSByZXN1bHQgb2YgdGhhdCByZXZpZXcsIE9N QiBpc3N1ZWQgYSByZXZpc2VkIHN0YW5kYXJkIGluIDE5OTcgdGhhdCBpcyB0byBiZSB1c2Vk IGluIHRoZSBVbml0ZWQgU3RhdGVzIENlbnN1cyBpbiAyMDAwIGFuZCBpbiBiaXJ0aCwgZGVh dGgsIGFuZCBmZXRhbCBkZWF0aCBjZXJ0aWZpY2F0ZXMgYnkgMjAwMy4gIFRoZSB0d28gbWFq b3IgY2hhbmdlcyBpbiB0aGUgT01CIHN0YW5kYXJkIGFyZToNDVBlb3BsZSBjYW4gYmUgaWRl bnRpZmllZCBieSBtb3JlIHRoYW4gb25lIHJhY2lhbCBjYXRlZ29yeSANUGFjaWZpYyBJc2xh bmRlcnMgd2lsbCBubyBsb25nZXIgYmUgY2xhc3NpZmllZCB3aXRoIEFzaWFucyBhbmQNVGhl IHF1ZXN0aW9uIG9uIEhpc3BhbmljL0xhdGlubyBldGhuaWNpdHkgc2hvdWxkIGJlIGFza2Vk IGJlZm9yZSB0aGUgcmFjZSBxdWVzdGlvbi4gIA0NRGVmaW5pdGlvbiBvZiBNaW5pbXVtIENh dGVnb3JpZXMNDVRoZSBtaW5pbXVtIGNhdGVnb3JpZXMgZXN0YWJsaXNoZWQgaW4gdGhlIDE5 OTcgT01CIFN0YW5kYXJkIGZvciBGZWRlcmFsIERhdGEgb24gUmFjZSBhbmQgRXRobmljaXR5 IGFyZToNDVJhY2UNQW1lcmljYW4gSW5kaWFuIG9yIEFsYXNrYSBOYXRpdmUgKEFJQU4pOiBB IHBlcnNvbiBoYXZpbmcgb3JpZ2lucyBpbiBhbnkgb2YgdGhlIG9yaWdpbmFsIHBlb3BsZXMg b2YgTm9ydGggYW5kIFNvdXRoIEFtZXJpY2EgKGluY2x1ZGluZyBDZW50cmFsIEFtZXJpY2Ep LCBhbmQgd2hvIG1haW50YWlucyB0cmliYWwgYWZmaWxpYXRpb24gb3IgY29tbXVuaXR5IGF0 dGFjaG1lbnQuDUFzaWFuOiBBIHBlcnNvbiBoYXZpbmcgb3JpZ2lucyBpbiBhbnkgb2YgdGhl IG9yaWdpbmFsIHBlb3BsZXMgb2YgdGhlIEZhciBFYXN0LCBTb3V0aGVhc3QgQXNpYSwgb3Ig dGhlIEluZGlhbiBzdWJjb250aW5lbnQsIGluY2x1ZGluZywgZm9yIGV4YW1wbGUsIENhbWJv ZGlhLCBDaGluYSwgSW5kaWEsIEphcGFuLCBLb3JlYSwgTWFsYXlzaWEsIFBha2lzdGFuLCB0 aGUgUGhpbGlwcGluZSBJc2xhbmRzLCBUaGFpbGFuZCBhbmQgVmlldG5hbS4NQmxhY2sgb3Ig QWZyaWNhbiBBbWVyaWNhbjogQSBwZXJzb24gaGF2aW5nIG9yaWdpbnMgaW4gYW55IG9mIHRo ZSBibGFjayByYWNpYWwgZ3JvdXBzIG9mIEFmcmljYS4gIFRlcm1zIHN1Y2ggYXMgk0hhaXRp YW6UIG9yIJNOZWdyb5QgY2FuIGJlIHVzZWQgaW4gYWRkaXRpb24gdG8gk0JsYWNrIG9yIEFm cmljYW4gQW1lcmljYW4ulA1OYXRpdmUgSGF3YWlpYW4gb3IgT3RoZXIgUGFjaWZpYyBJc2xh bmRlciAoTkhPUEkpOiBBIHBlcnNvbiBoYXZpbmcgb3JpZ2lucyBpbiBhbnkgb2YgdGhlIG9y aWdpbmFsIHBlb3BsZXMgb2YgSGF3YWlpLCBHdWFtLCBTYW1vYSwgb3Igb3RoZXIgUGFjaWZp YyBJc2xhbmRzLiAgDVdoaXRlOiBBIHBlcnNvbiBoYXZpbmcgb3JpZ2lucyBpbiBhbnkgb2Yg dGhlIG9yaWdpbmFsIHBlb3BsZXMgb2YgRXVyb3BlLCB0aGUgTWlkZGxlIEVhc3QsIG9yIE5v cnRoIEFmcmljYS4NDUV0aG5pYyBHcm91cA1IaXNwYW5pYyBvciBMYXRpbm86IEEgcGVyc29u IG9mIEN1YmFuLCBNZXhpY2FuLCBQdWVydG8gUmljYW4sIFNvdXRoIG9yIENlbnRyYWwgQW1l cmljYW4gb3Igb3RoZXIgU3BhbmlzaCBjdWx0dXJlIG9yIG9yaWdpbiwgcmVnYXJkbGVzcyBv ZiByYWNlLiAgVGhlIHRlcm0gk1NwYW5pc2ggb3JpZ2lulCBjYW4gYmUgdXNlZCBpbiBhZGRp dGlvbiB0byCTSGlzcGFuaWMgb3IgTGF0aW5vLpQNDUd1aWRlbGluZXM6ICBJbXBsZW1lbnRh dGlvbiBTY2hlZHVsZQ0NQ29udGludWUgdG8gdXNlIHRoZSBPTUIgMTk3NyBTdGFuZGFyZHMg Zm9yIFJhY2UgYW5kIEV0aG5pY2l0eSBmb3IgYWxsIGRhdGEgcGVydGFpbmluZyB0byB5ZWFy cyB0aHJvdWdoIDE5OTksIHJlZ2FyZGxlc3Mgb2YgZGF0ZSBvZiBwdWJsaWNhdGlvbg1BZG9w dCB0aGUgIE9NQiAxOTk3IFN0YW5kYXJkcyBmb3IgUmFjZSBhbmQgRXRobmljaXR5IGZvciBj b2xsZWN0aW5nIGRhdGEgYnkgSmFudWFyeSAxLCAyMDAzLiAgVGhpcyBkYXRlIG1heSBjb3Jy ZXNwb25kIHRvIHRoZSBpbXBsZW1lbnRhdGlvbiBvZiB0aGUgbmV3IHN0YW5kYXJkcyBpbiB0 aGUgYmlydGgsIGRlYXRoLCBhbmQgZmV0YWwgZGVhdGggY2VydGlmaWNhdGVzIGluIFdhc2hp bmd0b24gU3RhdGUuIA1BZG9wdCB0aGUgT01CIDE5OTcgU3RhbmRhcmRzIGZvciBSYWNlIGFu ZCBFdGhuaWNpdHkgZm9yIHRhYnVsYXRpbmcgYW55IGRhdGEgY29sbGVjdGVkIG9uIG9yIGFm dGVyIEphbnVhcnkgMSwgMjAwMy4NSmFudWFyeSAxLCAyMDAwIJYgRGVjZW1iZXIgMzEsIDIw MDIgaXMgY2FsbGVkIHRoZSB0cmFuc2l0aW9uIHBlcmlvZC4gIFNvbWUgcHJvZ3JhbXMgd2ls bCB1c2UgdGhlIG5ldyBzdGFuZGFyZCBhbmQgc29tZSBwcm9ncmFtcyB3aWxsIHVzZSB0aGUg b2xkIHN0YW5kYXJkLiAgQnJpZGdpbmcgZXN0aW1hdGVzIG1heSBoYXZlIHRvIGJlIHVzZWQg Zm9yIGRhdGEgY29tcGFyYWJpbGl0eS4NDUd1aWRlbGluZXM6ICBEYXRhIENvbGxlY3Rpb24N DVBlcnNvbnMgb2YgbWl4ZWQgcmFjaWFsIG9yaWdpbnMgY2FuLCBidXQgYXJlIG5vdCByZXF1 aXJlZCB0bywgcmVwb3J0IG1vcmUgdGhhbiBvbmUgcmFjZS4gIERhdGEgb24gbWl4ZWQgcmFj ZSBzaG91bGQgYmUgY29sbGVjdGVkIGFzIG11bHRpcGxlIHJlc3BvbnNlcyB0byBhIHNpbmds ZSBxdWVzdGlvbiByYXRoZXIgdGhhbiBmcm9tIGEgc2VwYXJhdGUgk211bHRpcmFjaWFslCBj YXRlZ29yeS4gIFJlY29tbWVuZGVkIHF1ZXN0aW9uIHdvcmRpbmcgaXMgk01hcmsgb25lIG9y IG1vcmUuLi4slCCTU2VsZWN0IG9uZSBvciBtb3JlLi4uLiyUIG9yIJNSYWNlIJYgZW50ZXIg b25lIG9yIG1vcmUulA1Gb3IgZXRobmljIGdyb3VwLCBkYXRhIHNob3VsZCBiZSBjb2xsZWN0 ZWQgb24gd2hldGhlciBvciBub3QgYSBwZXJzb24gaXMgb2YgSGlzcGFuaWMgb3IgTGF0aW5v IGN1bHR1cmUgb3Igb3JpZ2luLCBidXQgdGhlIE9NQiBzdGFuZGFyZHMgZG8gbm90IHBlcm1p dCBtdWx0aXBsZSByZXNwb25zZXMgKGUuZy4sIGJvdGggSGlzcGFuaWMgYW5kIG5vbi1IaXNw YW5pYyBoZXJpdGFnZSkuIFRvIGhlbHAgcHJvdmlkZSBtb3JlIGNvbXBsZXRlIHJhY2UgZGF0 YSBmb3IgSGlzcGFuaWMgcmVzcG9uZGVudHMsIGFuIGluc3RydWN0aW9uIHRvIGFuc3dlciBi b3RoIHRoZSBIaXNwYW5pYyBvciBMYXRpbm8gcXVlc3Rpb24gYW5kIHRoZSByYWNlIHF1ZXN0 aW9uIG1heSBiZSB1c2VmdWwsIGVzcGVjaWFsbHkgZm9yIG1haWwgc3VydmV5cyBvciBzZWxm LWFkbWluaXN0ZXJlZCBxdWVzdGlvbm5haXJlcy4NRGF0YSBzaG91bGQgYmUgY29sbGVjdGVk IHNlcGFyYXRlbHkgZm9yIHJhY2UgYW5kIGV0aG5pY2l0eSwgd2l0aCBldGhuaWNpdHkgY29s bGVjdGVkIGZpcnN0LiAgDUlmIGEgY29tYmluZWQgcmFjZS9ldGhuaWNpdHkgZm9ybWF0IG11 c3QgYmUgdXNlZCwgYSBwZXJzb24gc2hvdWxkIGJlIGFsbG93ZWQgdG8gc2VsZWN0IG1vcmUg dGhhbiBvbmUgcmFjaWFsL2V0aG5pYyBjYXRlZ29yeSBidXQgY2FuIGJlIHJlcXVpcmVkIHRv IHNlbGVjdCBvbmx5IG9uZSBjYXRlZ29yeS4NVGhlIHNwZWNpZmljIHRlcm1pbm9sb2d5IGZv ciByYWNpYWwgYW5kIGV0aG5pYyBjYXRlZ29yaWVzIGFzIGRlc2NyaWJlZCBhYm92ZSBzaG91 bGQgYmUgdXNlZCB3aGVuZXZlciB0aGUgY2F0ZWdvcmllcyBhcmUgbGlzdGVkLiANRGF0YSBj b2xsZWN0aW9uIGlzIG5vdCBsaW1pdGVkIHRvIHRoZSBjYXRlZ29yaWVzIGRlc2NyaWJlZCBh Ym92ZS4gIEluIGZhY3QsIHRoZSBjb2xsZWN0aW9uIG9mIHN1Ymdyb3VwIGRldGFpbCBpcyBl bmNvdXJhZ2VkLiAgDVN1Ymdyb3VwIGRldGFpbCBjb3VsZCBiZSBjb2xsZWN0ZWQgdGhyb3Vn aCB3cml0ZS1pbiBlbnRyaWVzIG9yIGZvbGxvdy11cCBxdWVzdGlvbnMgYXNrZWQgYnkgdGhl IGludGVydmlld2VyLiAgDUlmIG1vcmUgZGV0YWlsZWQgY2F0ZWdvcmllcyBhcmUgdXNlZCwg dGhlbiB0aGUgYWRkaXRpb25hbCBjYXRlZ29yaWVzIG11c3QgYmUgb3JnYW5pemVkIHNvIHRo YXQgdGhleSBjYW4gYmUgYWdncmVnYXRlZCBpbnRvIHRoZSBtaW5pbXVtIGNhdGVnb3JpZXMg ZGVzY3JpYmVkIGFib3ZlLg1BZGRpdGlvbmFsIGNhdGVnb3JpZXMgc2hvdWxkIGJlIG11dHVh bGx5IGV4Y2x1c2l2ZSANQWRkaXRpb25hbCBjYXRlZ29yaWVzIHNob3VsZCBiZSBjb25zaXN0 ZW50IHdpdGggYXZhaWxhYmxlIGRlbm9taW5hdG9yIGRhdGEgaWYgb25lIGludGVuZHMgdG8g Y2FsY3VsYXRlIHJhdGVzLiANQWRkaXRpb25hbCBjYXRlZ29yaWVzIG5lZWQgdG8gYmUgbWVh bmluZ2Z1bCB0byB0aGUgcG9wdWxhdGlvbnMgYWJvdXQgd2hvbSBkYXRhIGFyZSBiZWluZyBj b2xsZWN0ZWQuICBJZiBwb3NzaWJsZSwgaW52b2x2ZSB0aGUgY29tbXVuaXRpZXMgaW4gZGV2 ZWxvcGluZyBhZGRpdGlvbmFsIGNhdGVnb3JpZXMgdG8gaGVscCBhc3N1cmUgdGhpcy4NTW9k ZSBvZiBhZG1pbmlzdHJhdGlvbiBzaG91bGQgYmUgY29uc2lkZXJlZCB3aGVuIGRlc2lnbmlu ZyBxdWVzdGlvbnMgYW5kIGluc3RydWN0aW9ucy4gIA1Gb3IgZmFjZS10by1mYWNlIHN1cnZl eXMsIGEgZmxhc2hjYXJkIHdpdGggdGhlIGNhdGVnb3JpZXMgbWF5IGJlIHVzZWZ1bC4gIA1G b3IgdGVsZXBob25lIHN1cnZleXMsIGZld2VyIHJlc3BvbnNlIGNhdGVnb3JpZXMgY291bGQg YmUgdXNlZCwgd2l0aCBmb2xsb3ctdXAgcXVlc3Rpb25zIHRvIHByb3ZpZGUgbW9yZSBkZXRh aWwuICANRm9yIHNlbGYtYWRtaW5pc3RlcmVkIGZvcm1zIHdpdGggYSBjaGVjayBib3ggZm9y bWF0LCBkZWZpbml0aW9ucyBmb3IgdGhlIG1pbmltdW0gcmFjZSBjYXRlZ29yaWVzIG1heSBi ZSBuZWVkZWQuDVVzZSBzZWxmLXJlcG9ydGluZyByYXRoZXIgdGhhbiBvYnNlcnZlciBpZGVu dGlmaWNhdGlvbiB3aGVuZXZlciBwb3NzaWJsZS4gICBJZiBzZWxmLXJlcG9ydGluZyBpcyBu b3QgcG9zc2libGUgKGUuZy4sIGZvciBhIGRlY2Vhc2VkIHBlcnNvbiksIGF0dGVtcHQgdG8g b2J0YWluIHByb3h5IHJlc3BvbnNlcyBmcm9tIGZhbWlseSBvciBmcmllbmRzIGJlZm9yZSB1 c2luZyBvYnNlcnZlciBpZGVudGlmaWNhdGlvbi4NVXNlIHRyYW5zbGF0ZWQgZGF0YSBjb2xs ZWN0aW9uIGZvcm1zIHRvIGVuc3VyZSBpbmNsdXNpb24gb2YgcGVvcGxlIGZyb20gZGl2ZXJz ZSBiYWNrZ3JvdW5kcyB3aGVuZXZlciBwb3NzaWJsZS4gDQwNREFUQSBDT0xMRUNUSU9OIEVY QU1QTEUgRk9SIFNFTEYtQURNSU5JU1RFUkVEIFFVRVNUSU9OTkFJUkUNDU5PVEU6IFBsZWFz ZSBhbnN3ZXIgQm90aCBxdWVzdGlvbnMgNSBhbmQgNi4NDTUuICBBcmUgeW91IFNwYW5pc2gv SGlzcGFuaWMvTGF0aW5vPyBNYXJrIFtYXSB0aGUgk05vlCBib3ggaWYgbm90IFNwYW5pc2gv SGlzcGFuaWMvTGF0aW5vLg1Obywgbm90IFNwYW5pc2gvSGlzcGFuaWMvTGF0aW5vDVllcywg TWV4aWNhbiwgTWV4aWNhbiBBbSwgQ2hpY2Fubw1ZZXMsIFB1ZXJ0byBSaWNhbg1ZZXMsIEN1 YmFuDQgIWWVzLCBvdGhlciBTcGFuaXNoL0hpc3BhbmljL0xhdGlubyCWIFByaW50IGdyb3Vw IA0NDTYuICBXaGF0IGlzIHlvdXIgcmFjZT8gIE1hcmsgW1hdIG9uZSBvciBtb3JlIHJhY2Vz IHRvIGluZGljYXRlIHdoYXQgdGhpcyBwZXJzb24gY29uc2lkZXJzIGhpbXNlbGYvaGVyc2Vs ZiB0byBiZS4NV2hpdGUNQmxhY2ssIEFmcmljYW4gQW0uLCBvciBOZWdybw0ICEFtZXJpY2Fu IEluZGlhbiBvciBBbGFza2EgTmF0aXZlIJYgUHJpbnQgbmFtZSBvZiBlbnJvbGxlZCBvciBw cmluY2lwYWwgdHJpYmUNDUFzaWFuIEluZGlhbg1DaGluZXNlDUZpbGlwaW5vDUphcGFuZXNl DUtvcmVhbg1WaWV0bmFtZXNlDU5hdGl2ZSBIYXdhaWlhbg1HdWFtYW5pYW4gb3IgQ2hhbW9y cm8NU2Ftb2FuDQ0ICE90aGVyIEFzaWFuIJYgUHJpbnQgcmFjZSANCAhPdGhlciBQYWNpZmlj IElzbGFuZGVyIJYgUHJpbnQgcmFjZQ0NCAhTb21lIG90aGVyIHJhY2UgliBQcmludCByYWNl IA0NDQxHdWlkZWxpbmVzOiAgRGF0YSBUYWJ1bGF0aW9uDQ1UYWJ1bGF0ZSBkYXRhIHNvIGFz IHRvIGFjY3VyYXRlbHkgcmVwcmVzZW50IGVhY2ggcGVyc29uknMgY2hvaWNlIG9mIHJhY2lh bCBhbmQgZXRobmljIGlkZW50aXR5LiAgDQ1JbmNsdWRlIGFzIG11Y2ggZGV0YWlsIG9uIHJh Y2UgYW5kIGV0aG5pY2l0eSBhcyBwb3NzaWJsZSB3aXRob3V0IGNvbXByb21pc2luZyBkYXRh IHF1YWxpdHkgb3IgY29uZmlkZW50aWFsaXR5LiAgTW9yZSBkZXRhaWwgY2FuIHVzdWFsbHkg YmUgcHVibGlzaGVkIGZvciBwb3B1bGF0aW9uIHRvdGFscyB0aGFuIGZvciBhdHRyaWJ1dGVz IChlLmcuLCBpbmNvbWUsIGVkdWNhdGlvbiwgb3IgaGVhbHRoIG91dGNvbWVzKS4gDQ1BZ2dy ZWdhdGUgZGF0YSBieSByYWNpYWwvZXRobmljIGdyb3VwIG9ubHkgd2hlbiBzdWNoIGFuIGFn Z3JlZ2F0aW9uIHByb3ZpZGVzIG1lYW5pbmdmdWwgY2F0ZWdvcmllcyAoZS5nLiwgk25vbndo aXRllCBvciCTb3RoZXKUIGlzIG5vdCB1c3VhbGx5IGEgbWVhbmluZ2Z1bCBjYXRlZ29yeSku DQ1JbiBhZGRpdGlvbiB0byB0aGUgbWluaW11bSByYWNpYWwgYW5kIGV0aG5pYyBjYXRlZ29y aWVzIChhbmQgc3ViZ3JvdXAgZGV0YWlsIHdoZXJlIHBvc3NpYmxlKSwgZGF0YSB0YWJsZXMg bWF5IGluY2x1ZGUgdGhyZWUgb3RoZXIgY2F0ZWdvcmllczoNDU90aGVyIFJhY2U6ICBVc2Ug Zm9yIHJlc3BvbnNlcyB0aGF0IGRvIG5vdCBtYXRjaCBhbnkgb2YgdGhlIHN0YW5kYXJkIHJh Y2lhbCBjYXRlZ29yaWVzLg0NUmFjZSBOb3QgUmVwb3J0ZWQ6ICBVc2Ugd2hlbiBpbmZvcm1h dGlvbiBvbiByYWNlIHdhcyBub3QgcHJvdmlkZWQuICBJZiBkYXRhIGFyZSBhdmFpbGFibGUs IHRoaXMgY2F0ZWdvcnkgY2FuIGJlIHN1YmRpdmlkZWQgYWNjb3JkaW5nIHRvIHRoZSByZWFz b24gdGhhdCBpbmZvcm1hdGlvbiBvbiByYWNlIHdhcyBub3Qgb2J0YWluZWQ6IHJlZnVzYWws IGRvbpJ0IGtub3csIGFuZCBub3QgYXNjZXJ0YWluZWQuDQ1Ob3QgVGFidWxhdGVkIEFib3Zl OiAgVXNlIHRvIGFnZ3JlZ2F0ZSByZXNwb25zZXMgZm9yIGFueSByYWNpYWwgY2F0ZWdvcmll cyAoZS5nLiwgYSBzaW5nbGUgcmFjZSBvciByZXNwb25zZXMgdG8gbW9yZSB0aGFuIG9uZSBj YXRlZ29yeSkgdGhhdCBkbyBub3QgY29udGFpbiBlbm91Z2ggcGVvcGxlIHRvIGJlIHB1Ymxp c2hlZCBzZXBhcmF0ZWx5IGJlY2F1c2Ugb2YgZGF0YSBxdWFsaXR5IG9yIGNvbmZpZGVudGlh bGl0eSBjb25jZXJucy4NDVRoZSBmb2xsb3dpbmcgdGFibGVzIHNob3cgc29tZSBvcHRpb25z IGZvciBwcmVzZW50aW5nIGRhdGEuIE9uIGFsbCB0YWJsZXMgdGhlIGZpdmUgcmFjZSBjYXRl Z29yaWVzIChwbHVzIJFPdGhlcpIpIGFyZSBsaXN0ZWQgYWxwaGFiZXRpY2FsbHkuIA0gDUZv bGxvdyB0aGlzIGV4YW1wbGUgd2hlbiBzYW1wbGUgc2l6ZXMgb3IgcG9wdWxhdGlvbiBjb3Vu dHMgZG8gbm90IHBlcm1pdCBncmVhdGVyIGRldGFpbC4NDVRhYmxlIDEuICBNaW5pbXVtIFBy ZXNlbnRhdGlvbiBvZiBEYXRhIG9uIFJhY2UgDQ1SYWNlB051bWJlcgdQZXJjZW50BwdUb3Rh bAcHBwcgICAgIEFJQU4xBwcHByAgICAgQXNpYW4HBwcHICAgICBCbGFjawcHBwcgICAgIE5I T1BJMQcHBwcgICAgIE90aGVyBwcHByAgICAgV2hpdGUHBwcHICAgICBNb3JlIHRoYW4gb25l IHJhY2UHBwcHICAgICBSYWNlIE5vdCBSZXBvcnRlZAcHBwcxQUlBTj1BbWVyaWNhbiBJbmRp YW4gb3IgQWxhc2thIE5hdGl2ZTsgTkhPUEk9TmF0aXZlIEhhd2FpaWFuIG9yIE90aGVyIFBh Y2lmaWMgSXNsYW5kZXINDUlmIHNhbXBsZSBvciBwb3B1bGF0aW9uIHNpemVzIGZvciBhbnkg b2YgdGhlIHJhY2lhbCBncm91cHMgYXJlIHRvbyBzbWFsbCB0byBtZWV0IGRhdGEgcXVhbGl0 eSBvciBjb25maWRlbnRpYWxpdHkgc3RhbmRhcmRzLCB0aGVuIGNvbWJpbmUgdGhlc2UgcmFj aWFsIGdyb3VwcyBpbnRvIGEgY2F0ZWdvcnkgbGFiZWxlZCCRTm90IFRhYnVsYXRlZCBBYm92 ZZIgYW5kIHByZXNlbnQgZGF0YSBvbmx5IGZvciB0aGUgbGFyZ2VyIHJhY2lhbCBjYXRlZ29y aWVzLg0NRm9sbG93IHRoaXMgZXhhbXBsZSB0byByZXBvcnQgZGF0YSBjb250YWluaW5nIHRo ZSBtaW5pbXVtIHJhY2lhbCBncm91cGluZ3MgcGx1cyBhZGRpdGlvbmFsIGRldGFpbCAoZS5n LiwgdW5kZXIgk0FzaWFulCBhbmQgdW5kZXIgk01vcmUgdGhhbiBvbmUgcmFjZZQpLg0NVGFi bGUgMi4gIERldGFpbGVkIFByZXNlbnRhdGlvbiBvZiBEYXRhIG9uIFJhY2UgDQ1SYWNlB051 bWJlcgdQZXJjZW50BwdUb3RhbAcHBwcgICAgIEFJQU4xBwcHByAgICAgQXNpYW4HBwcHICAg ICAgICAgIEFzaWFuIEluZGlhbgcHBwcgICAgICAgICAgIENoaW5lc2UHBwcHICAgICAgICAg ICBGaWxpcGlubwcHBwcgICAgICAgICAgIEphcGFuZXNlBwcHByAgICAgICAgICAgS29yZWFu BwcHByAgICAgICAgICAgVmlldG5hbWVzZQcHBwcgICAgIEJsYWNrBwcHByAgICAgTkhPUEkx BwcHByAgICAgT3RoZXIHBwcHICAgICBXaGl0ZQcHBwcgICAgIE1vcmUgdGhhbiBvbmUgcmFj ZQcHBwcgICAgICAgICAgICBBSUFOL1doaXRlBwcHByAgICAgICAgICAgIEFzaWFuL1doaXRl BwcHByAgICAgICAgICAgICBCbGFjay9XaGl0ZQcHBwcgICAgIFJhY2UgTm90IFJlcG9ydGVk BwcHBzFBSUFOPUFtZXJpY2FuIEluZGlhbiBvciBBbGFza2EgTmF0aXZlOyBOSE9QST1OYXRp dmUgSGF3YWlpYW4gb3IgT3RoZXIgUGFjaWZpYyBJc2xhbmRlcg0NUmVwb3J0IGFzIG11Y2gg ZGV0YWlsIHVuZGVyIHRoZSBjYXRlZ29yeSCTTW9yZSB0aGFuIG9uZSByYWNllCBhcyBuZWVk ZWQgdG8gcmVwcmVzZW50IHRoZSByZXNwb25zZXMgcHJvdmlkZWQgYnkgaW5kaXZpZHVhbHMg KHdpdGhvdXQgdmlvbGF0aW5nIGNvbmZpZGVudGlhbGl0eSBvciBkYXRhIGFuYWx5c2lzIHN0 YW5kYXJkcykgYW5kIHN1Y2ggdGhhdCB0aGUgbWluaW11bSBzZXQgb2YgcmFjaWFsIGNhdGVn b3JpZXMgY2FuIGJlIHJlY3JlYXRlZC4gVGhlIGRldGFpbCByZXBvcnRlZCB1bmRlciCRTW9y ZSB0aGFuIG9uZSByYWNlkiBpbiB0aGlzIHRhYmxlIHJlcHJlc2VudHMgdGhlIG1vc3QgZnJl cXVlbnRseSByZXBvcnRlZCAgY29tYmluYXRpb25zIG9mIHJhY2lhbCBjYXRlZ29yaWVzIGJh c2VkIG9uIE5hdGlvbmFsIEhlYWx0aCBJbnRlcnZpZXcgU3VydmV5IGRhdGEuICBGb3Igb3Ro ZXIgcG9wdWxhdGlvbnMsIHRoZSBtb3N0IGZyZXF1ZW50IGNvbWJpbmF0aW9ucyBtYXkgYmUg ZGlmZmVyZW50Lg0NV2hlbiBkYXRhIHN5c3RlbXMgY29sbGVjdCBtb3JlIGRldGFpbCBvbiBz dWJncm91cHMgb2YgdGhlIG1haW4gY2F0ZWdvcmllcywgc29tZSBwZXJzb25zIG1heSBpbmRp Y2F0ZSB0aGF0IHRoZXkgYmVsb25nIHRvIG1vcmUgdGhhbiBvbmUgc3ViZ3JvdXAuICBGb3Ig ZXhhbXBsZSwgaW4gdGhlIEFzaWFuIGNhdGVnb3J5LCByZXNwb25kZW50cyBtaWdodCBpbmRp Y2F0ZSBib3RoIENoaW5lc2UgYW5kIEphcGFuZXNlIGhlcml0YWdlLiAgVGhlc2UgcmVzcG9u ZGVudHMgc2hvdWxkIGJlIGluY2x1ZGVkIGluIHRoZSBzaW5nbGUgcmFjZSB0b3RhbCBmb3Ig QXNpYW5zLCBub3QgaW4gdGhlIJNNb3JlIHRoYW4gb25lIHJhY2WUIGNhdGVnb3J5LiAgSWYg c2FtcGxlIHNpemUgcGVybWl0cywgdGhleSBjYW4gYmUgdGFidWxhdGVkIHNlcGFyYXRlbHkg YXMgYW4gQXNpYW4gc3ViZ3JvdXAgk01vcmUgdGhhbiBvbmUgQXNpYW4gcmFjZS6UDQ0MRm9s bG93IHRoaXMgZXhhbXBsZSB0byByZWZsZWN0IHRoZSBjb21wbGV4aXR5IG9mIHJlcG9ydGlu ZyByYWNlIGFuZCB0byBwcmVzZW50IGluY2x1c2l2ZSBjYXRlZ29yaWVzLiAgKE5vdGU6ICBw ZXJzb25zIG1heSBiZSBjb3VudGVkIGluIG1vcmUgdGhhbiBvbmUgY2F0ZWdvcnkgaW4gdGhl IHRhYmxlIGJlbG93LikgDQ1UYWJsZSAzLiAgRGV0YWlsZWQgUHJlc2VudGF0aW9uIG9mIERh dGEgb24gUmFjZSBhbmQgdGhlIEFsbCBJbmNsdXNpdmUgRGlzdHJpYnV0aW9ucw0NUmFjZQdO dW1iZXIHUGVyY2VudAcHVG90YWwHBwcHICAgICBBSUFOMQcHBwcgICAgIEFzaWFuBwcHByAg ICAgICAgICBBc2lhbiBJbmRpYW4HBwcHICAgICAgICAgICBDaGluZXNlBwcHByAgICAgICAg ICAgRmlsaXBpbm8HBwcHICAgICAgICAgICBKYXBhbmVzZQcHBwcgICAgICAgICAgIEtvcmVh bgcHBwcgICAgICAgICAgIFZpZXRuYW1lc2UHBwcHICAgICBCbGFjawcHBwcgICAgIE5IT1BJ MQcHBwcgICAgIE90aGVyBwcHByAgICAgV2hpdGUHBwcHICAgICBNb3JlIHRoYW4gb25lIHJh Y2UHBwcHICAgICAgICAgICAgQUlBTi9XaGl0ZQcHBwcgICAgICAgICAgICBBc2lhbi9XaGl0 ZQcHBwcgICAgICAgICAgICAgQmxhY2svV2hpdGUHBwcHICAgICBSYWNlIE5vdCBSZXBvcnRl ZAcHBwdBSUFOIGFsbCBpbmNsdXNpdmUHBwcHICAgICBBSUFOIGFuZCBvdGhlciByYWNlKHMp BwcHB0FzaWFuIGFsbCBpbmNsdXNpdmUgIAcHBwcgICAgIEFzaWFuIGFuZCBvdGhlciByYWNl KHMpBwcHByhldGMgZm9yIG90aGVyIGNhdGVnb3JpZXMpBwcHBzFBSUFOPUFtZXJpY2FuIElu ZGlhbiBvciBBbGFza2EgTmF0aXZlOyBOSE9QST1OYXRpdmUgSGF3YWlpYW4gb3IgT3RoZXIg UGFjaWZpYyBJc2xhbmRlcg0NVXNlIHRoZSCRYWxsIGluY2x1c2l2ZZIgaGVhZGluZ3MgdG8g cmVwcmVzZW50IHBlcnNvbnMgd2hvIHJlcG9ydCBhIHBhcnRpY3VsYXIgcmFjZSBlaXRoZXIg YWxvbmUgb3IgaW4gY29tYmluYXRpb24gd2l0aCBvdGhlciByYWNlKHMpLiAgVGhlIGRpc3Ry aWJ1dGlvbnMgb2YgaW5kaXZpZHVhbHMgdW5kZXIgdGhlIGFsbC1pbmNsdXNpdmUgY2F0ZWdv cnkgbWF5IHByb3ZpZGUgaW5mb3JtYXRpb24gb24gZ3JvdXBzIHRoYXQgYXJlIG5vdCBvZiBz dWZmaWNpZW50IHNpemUgaW4gdGhlIHNhbXBsZSBvciBwb3B1bGF0aW9uIHRvIGJlIGluY2x1 ZGVkIGluIGJhc2ljIHRhYnVsYXRpb25zLg0NRGF0YSBvbiBIaXNwYW5pYyBvciBMYXRpbm8g c3ViZ3JvdXBzIG1heSBiZSBwcmVzZW50ZWQgaW4gdGhlIGZvcm1hdCBzaG93biBpbiBUYWJs ZSA0LCBzaW1pbGFyIHRvIHRoZSByYWNlIHRhYnVsYXRpb25zLCBidXQgbm8gcHJvdmlzaW9u IGlzIG1hZGUgZm9yIHJlcG9ydGluZyBtb3JlIHRoYW4gb25lIHN1Ymdyb3VwIG9yIGJvdGgg SGlzcGFuaWMgYW5kIG5vbi1IaXNwYW5pYyBldGhuaWNpdHkuICBUaGUgc3ViZ3JvdXBzIHVz ZWQgd2lsbCBiZSBhIGZ1bmN0aW9uIG9mIHRoZSBzYW1wbGUgc2l6ZSBhbmQgdGhlIHBvcHVs YXRpb24gY29tcG9zaXRpb24gd2hlcmUgdGhlIGRhdGEgYXJlIGNvbGxlY3RlZC4gICANDQxG b2xsb3cgdGhpcyBleGFtcGxlIHRvIHRhYnVsYXRlIGRhdGEgb24gSGlzcGFuaWMvTGF0aW5v IGV0aG5pY2l0eS4NDVRhYmxlIDQuICBIaXNwYW5pYyBvciBMYXRpbm8gRXRobmljaXR5IHdp dGggRGV0YWlsIA0NRXRobmljaXR5B051bWJlcgdQZXJjZW50BwdUb3RhbAcHBwdIaXNwYW5p Yy9MYXRpbm8HBwcHICAgICBDdWJhbgcHBwcgICAgIE1leGljYW4HBwcHICAgICBQdWVydG8g UmljYW4HBwcHTm90IEhpc3BhbmljL0xhdGlubwcHBwdFdGhuaWNpdHkgTm90IFJlcG9ydGVk BwcHBw1SZXBvcnQgcmFjZSBieSBldGhuaWNpdHkgd2hlbmV2ZXIgcG9zc2libGUgd2l0aG91 dCB2aW9sYXRpbmcgZGF0YSBxdWFsaXR5IG9yIGNvbmZpZGVudGlhbGl0eSBzdGFuZGFyZHMu ICBUaHVzLCBUYWJsZXMgMS0zIGNvdWxkIGJlIGZ1cnRoZXIgc3ViZGl2aWRlZCBieSB0YWJ1 bGF0aW5nIGRhdGEgaW4gZWFjaCBjYXRlZ29yeSBmb3Igk0hpc3BhbmljIG9yIExhdGlubyyU IJNOb3QgSGlzcGFuaWMgb3IgTGF0aW5vLJQgYW5kIJNFdGhuaWNpdHkgTm90IFJlcG9ydGVk LpQgIFRhYmxlIDUgKG5leHQgcGFnZSkgc2hvd3MgVGFibGUgMiBzdWJkaXZpZGVkIGluIHRo aXMgd2F5LiAgICAgIA0NDEZvbGxvdyB0aGlzIGV4YW1wbGUgdG8gcmVwb3J0IHJhY2UgYnkg ZXRobmljaXR5Lg0NVGFibGUgNS4gIERldGFpbGVkIFByZXNlbnRhdGlvbiBvZiBEYXRhIG9u IFJhY2UgYW5kIEhpc3BhbmljIG9yIExhdGlubyBFdGhuaWNpdHkgDSAgICANUmFjZQdOdW1i ZXIHUGVyY2VudAcHVG90YWwHBwcHSGlzcGFuaWMgb3IgTGF0aW5vBwcHByAgICAgQUlBTjEH BwcHICAgICBBc2lhbgcHBwcgICAgIEJsYWNrBwcHByAgICAgTkhPUEkxBwcHByAgICAgT3Ro ZXIHBwcHICAgICBXaGl0ZQcHBwcgICAgIE1vcmUgdGhhbiBvbmUgcmFjZQcHBwcgICAgIFJh Y2UgTm90IFJlcG9ydGVkBwcHB05vdCBIaXNwYW5pYyBvciBMYXRpbm8HBwcHICAgICBBSUFO BwcHByAgICAgQXNpYW4HBwcHICAgICAgICAgIEFzaWFuIEluZGlhbgcHBwcgICAgICAgICAg IENoaW5lc2UHBwcHICAgICAgICAgICBGaWxpcGlubwcHBwcgICAgICAgICAgIEphcGFuZXNl BwcHByAgICAgICAgICAgS29yZWFuBwcHByAgICAgICAgICAgVmlldG5hbWVzZQcHBwcgICAg IEJsYWNrBwcHByAgICAgTkhPUEkHBwcHICAgICBPdGhlcgcHBwcgICAgIFdoaXRlBwcHByAg ICAgTW9yZSB0aGFuIG9uZSByYWNlBwcHByAgICAgICAgICAgIEFJQU4vV2hpdGUHBwcHICAg ICAgICAgICAgQXNpYW4vV2hpdGUHBwcHICAgICAgICAgICAgIEJsYWNrL1doaXRlBwcHByAg ICAgUmFjZSBOb3QgUmVwb3J0ZWQHBwcHRXRobmljaXR5IE5vdCBSZXBvcnRlZAcHBwcgICAg IFdoaXRlBwcHByAgICAgUmFjZSBOb3QgUmVwb3J0ZWQHBwcHMUFJQU49QW1lcmljYW4gSW5k aWFuIG9yIEFsYXNrYSBOYXRpdmU7IE5IT1BJPU5hdGl2ZSBIYXdhaWlhbiBvciBPdGhlciBQ YWNpZmljIElzbGFuZGVyDQ0MSWYgcG9zc2libGUsIGNvbGxlY3QgZGF0YSB1bmRlciBib3Ro IHRoZSBvbGQgYW5kIHRoZSBuZXcgT01CIHN0YW5kYXJkIGZvciBhIHN1ZmZpY2llbnQgcGVy aW9kIG9mIHRpbWUgdG8gY3JlYXRlIGFuIGVzdGltYXRlIG9mIHRoZSBjaGFyYWN0ZXJpc3Rp Y3Mgb2YgdGhlIHBvcHVsYXRpb24gdW5kZXIgY29uc2lkZXJhdGlvbiB1bmRlciBib3RoIG1l dGhvZHMgZm9yIHJlcG9ydGluZyByYWNlIGFuZCBldGhuaWNpdHkuICBVc2UgdGhpcyBkYXRh IHRvIGNhbGN1bGF0ZSBhIGJyaWRnaW5nIHJhdGlvIGZvciB1c2UgaW4gdHJlbmQgYW5hbHlz aXMuIA0NSWYgaXQgaXMgbm90IHBvc3NpYmxlIHRvIGNhbGN1bGF0ZSBhIGJyaWRnaW5nIHJh dGlvIHRoYXQgaXMgZGlyZWN0bHkgYXBwbGljYWJsZSB0byBhIHNwZWNpZmljIGRhdGEgY29s bGVjdGlvbiBzeXN0ZW0sIHRoZW4gdXNlIGEgYnJpZGdpbmcgcmF0aW8gYXZhaWxhYmxlIGZy b20gYW5vdGhlciBzb3VyY2UgdGhhdCBtb3N0IGNsb3NlbHkgYXBwcm94aW1hdGVzIHRoZSBw b3B1bGF0aW9uIHVuZGVyIGNvbnNpZGVyYXRpb24gKGUuZy4sIHN0YXRlIG9yIGNvdW50eSBz dXJ2ZXkpLg0NSWYgaXQgaXMgaW1wcmFjdGljYWwgdG8gdXNlIGEgYnJpZGdpbmcgcmF0aW8g b3IgdGhpcyBhcHByb2FjaCBpcyBub3Qgc3VpdGFibGUsIHRoZW4gY2xlYXJseSBpbmRpY2F0 ZSB0aGF0IGEgYnJlYWsgaW4gdGhlIGRhdGEgc2VyaWVzIGV4aXN0cyBiZXR3ZWVuIGRhdGEg Y29sbGVjdGVkIGJlZm9yZSB0aGUgMTk5NyBPTUIgc3RhbmRhcmQgb24gcmFjZSBhbmQgZXRo bmljaXR5IGlzIGltcGxlbWVudGVkIGFuZCBhZnRlcndhcmRzLiAgRGVwZW5kaW5nIG9uIHRo ZSBuYXR1cmUgb2YgdGhlIGFuYWx5c2lzLCB1c2UgYXBwcm9wcmlhdGUgbWVhbnMgZm9yIGNv bnZleWluZyB0aGUgY2hhbmdlIGluIHRoZSBkYXRhIHNlcmllcywgaW5jbHVkaW5nIHNlcGFy YXRlIHRhYmxlcyBvciBncmFwaHMsIGNsZWFybHkgZGVtYXJjYXRlZCBicmVha3MgaW4gdHJl bmQgbGluZXMsIGZvb3Rub3RlcywgdGVjaG5pY2FsIG5vdGVzLCBhbmQgZXhwbGFuYXRpb25z IHdpdGhpbiB0aGUgdGV4dC4NDUFkZGl0aW9uYWwgSW5mb3JtYXRpb24NDUZvciBhbiBpbi1k ZXB0aCBkaXNjdXNzaW9uIG9mIHRoZXNlIGlzc3Vlcywgc2VlIHRoZSAxOTk3IE9NQiByZXBv cnQgk1JlY29tbWVuZGF0aW9ucyBmcm9tIHRoZSBJbnRlcmFnZW5jeSBDb21taXR0ZWUgZm9y IHRoZSBSZXZpZXcgb2YgdGhlIFJhY2lhbCBhbmQgRXRobmljIFN0YW5kYXJkcyB0byB0aGUg T2ZmaWNlIG9mIE1hbmFnZW1lbnQgYW5kIEJ1ZGdldCBDb25jZXJuaW5nIENoYW5nZXMgdG8g dGhlIFN0YW5kYXJkcyBmb3IgdGhlIENsYXNzaWZpY2F0aW9uIG9mIEZlZGVyYWwgRGF0YSBv biBSYWNlIGFuZCBFdGhuaWNpdHkiIGF0IDxodHRwOi8vd3d3LmNlbnN1cy5nb3YvcG9wdWxh dGlvbi93d3cvc29jZGVtby9yYWNlL0RpcmVjdGl2ZV8xNS5odG1sPg1Gb3IgYSBjb21wbGV0 ZSBjb3B5IG9mIHRoZSCTRHJhZnQgUHJvdmlzaW9uYWwgR3VpZGFuY2Ugb24gdGhlIEltcGxl bWVudGF0aW9uIG9mIHRoZSAxOTk3IFN0YW5kYXJkcyBmb3IgRmVkZXJhbCAgRGF0YSBvbiBS YWNlIGFuZCBFdGhuaWNpdHkslCBzZWUgPGh0dHA6Ly93d3cud2hpdGVob3VzZS5nb3YvT01C L2luZm9yZWcvcmFjZS5wZGY+IChhdmFpbGFibGUgdmlhIHdlYnBhZ2UgPGh0dHA6Ly93d3cu Y2Vuc3VzLmdvdi9wb3B1bGF0aW9uL3d3dy9zb2NkZW1vL3JhY2UuaHRtbD4NRm9yIGFuIGFu YWx5c2lzIG9mIHRoZSBwb3NzaWJsZSBpbXBhY3Qgb2YgdGhlIGNoYW5nZSBpbiByYWNpYWwg Y2xhc3NpZmljYXRpb24gc3RhbmRhcmRzIGJhc2VkIG9uIFdhc2hpbmd0b24gU3RhdGUgUG9w dWxhdGlvbiBTdXJ2ZXkgZGF0YSwgc2VlIHRoZSBPZmZpY2Ugb2YgRmluYW5jaWFsIE1hbmFn ZW1lbnSScyAoMTk5OSkgcmVwb3J0IGJ5IFlpIFpoYW8gb24gk1VuZGVyc3RhbmRpbmcgdGhl IENoYW5nZSBhbmQgSW1wYWN0cyBvZiBSYWNlIFJlLUNsYXNzaWZpY2F0aW9ulCBhdCA8aHR0 cDovL3d3dy5vZm0ud2EuZ292L3Nwcy9icmllZjUucGRmPiAoYXZhaWxhYmxlIGF0IDxodHRw Oi8vd3d3Lm9mbS53YS5nb3YvZGF0YV9hX3RvYy5odG1sPikuICANDQ1TcGVjaWFsIElzc3Vl cw0NRXN0aW1hdGVzIG9mIJNNb3JlIHRoYW4gT25lIFJhY2WUIGluIFdhc2hpbmd0b24NDVRo ZSBPZmZpY2Ugb2YgRmluYW5jaWFsIE1hbmFnZW1lbnQgKE9GTSkgY29uZHVjdHMgdGhlIFdh c2hpbmd0b24gU3RhdGUgUG9wdWxhdGlvbiBTdXJ2ZXkgKFdTUFMpLCBhIHRlbGVwaG9uZSBz dXJ2ZXkgb2YgNywyNzkgaG91c2Vob2xkcyAod2l0aCBvdmVyc2FtcGxpbmcgb2YgQmxhY2tz LCBBc2lhbnMsIEhpc3BhbmljcywgYW5kIEFtZXJpY2FuIEluZGlhbnMuICBBbHRob3VnaCB0 aGUgc2FtcGxlIHNpemUgaXMgc21hbGwsIHRoZSByZXN1bHRzICh3aGljaCBoYXZlIGJlZW4g d2VpZ2h0ZWQgdG8gYWRqdXN0IGZvciBzYW1wbGUgZGVzaWduIGFuZCBub25yZXNwb25zZSkg bWF5IGdpdmUgYW4gaW5kaWNhdGlvbiBvZiBkYXRhIGRpc3RyaWJ1dGlvbnMgdG8gYmUgZXhw ZWN0ZWQgZm9yIFdhc2hpbmd0b24gU3RhdGUuICBBYm91dCA0JSBvZiByZXNwb25kZW50cyBy ZXBvcnRlZCBtb3JlIHRoYW4gb25lIHJhY2UuICBUaGlzIHBlcmNlbnRhZ2UgaXMgaGlnaGVy IHRoYW4gdGhlIDEtMiUgZm91bmQgZm9yIG5hdGlvbmFsIGRhdGEgc2V0cy4gICBUaGUgcGVy Y2VudCByZXBvcnRpbmcgbW9yZSB0aGFuIG9uZSByYWNlIGRlcGVuZHMgc3Ryb25nbHkgb24g cmFjZSBncm91cCwgYmVpbmcgaGlnaGVzdCBmb3IgQUlBTiAoNzElKSBhbmQgbG93ZXN0IGZv ciBXaGl0ZXMgKDQlKSwgd2l0aCBpbnRlcm1lZGlhdGUgcGVyY2VudGFnZXMgb2YgNiUgZm9y IEFzaWFuIG9yIFBhY2lmaWMgSXNsYW5kZXJzLCAxOCUgZm9yIEJsYWNrcywgYW5kIDI1JSBm b3IgT3RoZXIgcmFjZShzKS4gIFRoZSBtb3N0IGNvbW1vbiCRbXVsdGlyYWNpYWySIGNvbWJp bmF0aW9ucyBhcmUgQUlBTi9XaGl0ZSwgT3RoZXIvV2hpdGUsIGFuZCBCbGFjay9XaGl0ZS4g IE9mIHRob3NlIHJlcG9ydGluZyBtb3JlIHRoYW4gb25lIHJhY2UsIDkzJSByZXBvcnRlZCB0 d28gcmFjZXMsIDYlIHJlcG9ydGVkIHRocmVlIHJhY2VzLCBhbmQgMSUgcmVwb3J0ZWQgZm91 ciByYWNlcy4gICBGb3IgbW9yZSBhbmFseXNpcyBvZiB0aGUgV2FzaGluZ3RvbiBTdGF0ZSBQ b3B1bGF0aW9uIFN1cnZleSBkYXRhIGFuZCBob3cgdGhlIE9NQiBjaGFuZ2VzIGluIHJhY2lh bCBjbGFzc2lmaWNhdGlvbiBtYXkgYWZmZWN0IHBvcHVsYXRpb24gZGlzdHJpYnV0aW9ucyBi eSByYWNlLCByZWZlciB0byB0aGUgUmVzZWFyY2ggQnJpZWYgKGxpbms/KSBwcmVwYXJlZCBi eSBZaSBaaGFvIChPRk0gMTk5OSkuICAgICANDUJyaWRnaW5nIFJhdGlvcyBmb3IgVHJlbmQg QW5hbHlzaXMNDURhdGEgY29sbGVjdGVkIHVuZGVyIHRoZSBuZXcgc3RhbmRhcmQgd2lsbCBu b3QgZ2VuZXJhbGx5IGJlIGNvbXBhcmFibGUgdG8gZGF0YSBjb2xsZWN0ZWQgdW5kZXIgdGhl IG9sZCAocHJldmlvdXMgT01CKSBzdGFuZGFyZC4gIEluIGFkZGl0aW9uLCBub3QgYWxsIHBy b2dyYW1zIHdpbGwgYmVnaW4gdXNpbmcgdGhlIG5ldyBzdGFuZGFyZCBhdCB0aGUgc2FtZSB0 aW1lLiAgVGh1cywgd2hlbiB0YWJ1bGF0aW5nIGRhdGEgdXNpbmcgdGhlIG5ldyBzdGFuZGFy ZCwgc29tZSByZXNlYXJjaGVycyBtYXkgYWxzbyBuZWVkIHRvIHRhYnVsYXRlIGRhdGEgdGhh dCBzaG93IHdoYXQgcmVzcG9uc2VzIHdvdWxkIGhhdmUgYmVlbiB1bmRlciB0aGUgb2xkIHN0 YW5kYXJkLiBUaGUgY29tcGFyaXNvbiBiZXR3ZWVuIHRoZSBvbGQgYW5kIHRoZSBuZXcgc3Rh bmRhcmQgcHJvdmlkZXMgYSBicmlkZ2luZyByYXRpby4gICBUaGlzIHJhdGlvIGNhbiBiZSB1 c2VkIGluIHR3byB3YXlzOiAxKSB0byBjb21wYXJlIGN1cnJlbnQgdG8gcGFzdCBkYXRhIGZv ciB0cmVuZCBhbmFseXNlczsgYW5kICAyKSB0byBwcm92aWRlIGNvbnNpc3RlbnQgbnVtZXJh dG9ycyBhbmQgZGVub21pbmF0b3JzIGJlZm9yZSBhbGwgZGF0YSBhcmUgYXZhaWxhYmxlIGlu IHRoZSBuZXcgZm9ybWF0Lg0NTm90ZSB0aGF0IGFnZW5jaWVzIG1heSBub3QgbmVlZCBhIGJy aWRnaW5nIGVzdGltYXRlIGlmIHRoZXkgY2FuIHRvbGVyYXRlIGEgkWJyZWFrkiBpbiB0aGVp ciBkYXRhIHNlcmllcyBvciBpZiBjb21wYXJpc29uIHRvIGFub3RoZXIgc2VyaWVzIHByb3Zp ZGVzIHVzZXJzIHdpdGggZW5vdWdoIGluZm9ybWF0aW9uIGFib3V0IHRoZSBjaGFuZ2UuICBI b3dldmVyLCBpZiBubyBicmlkZ2luZyBlc3RpbWF0ZXMgYXJlIHByb3ZpZGVkIGFnZW5jaWVz IHNob3VsZCBiZSBzdXJlIHRvIGRvY3VtZW50IHRoZSBjaGFuZ2UgaW4gdGhlIGRhdGEgc2Vy aWVzLiBEZXBlbmRpbmcgb24gdGhlIG5hdHVyZSBvZiB0aGUgYW5hbHlzaXMsIGFwcHJvcHJp YXRlIG1lYW5zIGZvciBjb252ZXlpbmcgdGhlIGNoYW5nZSBtaWdodCBpbmNsdWRlIHByb2R1 Y2luZyBzZXBhcmF0ZSB0YWJsZXMgb3IgZ3JhcGhzLCBjbGVhcmx5IGRlbWFyY2F0ZWQgYnJl YWtzIGluIHRyZW5kIGxpbmVzLCBmb290bm90ZXMsIHRlY2huaWNhbCBub3RlcywgYW5kIGV4 cGxhbmF0aW9ucyB3aXRoaW4gdGhlIHRleHQuDQxCcmlkZ2luZyBNZXRob2RzDQ1CcmlkZ2lu ZyBlc3RpbWF0ZXMgb25seSBuZWVkIHRvIGJlIG1hZGUgZm9yIHBlcnNvbnMgd2hvIHNlbGVj dCBtb3JlIHRoYW4gb25lIHJhY2UuICBJdCBpcyBhc3N1bWVkIHRoYXQgdGhvc2Ugd2hvIHNl bGVjdCBhIHNpbmdsZSByYWNlIHdvdWxkIGhhdmUgc2VsZWN0ZWQgdGhlIHNhbWUgcmFjZSB1 bmRlciBib3RoIHN0YW5kYXJkcy4gDQ1SZWNvbW1lbmRlZCBtZXRob2Q6IEFzayBhIGZvbGxv dy11cCBxdWVzdGlvbiBmb3IgdGhvc2UgcmVwb3J0aW5nIG1vcmUgdGhhbiBvbmUgcmFjaWFs IGlkZW50aXR5LCBhc2tpbmcgdGhlbSB0byBzZWxlY3QgdGhlIG9uZSB0aGV5IGZlZWwgYmVz dCBkZXNjcmliZXMgdGhlbS4gVXNlIHRoaXMgZGF0YSB0byBjYWxjdWxhdGUgYSBicmlkZ2lu ZyByYXRpby4NDUlmIGl0IGlzIG5vdCBwb3NzaWJsZSB0byBjYWxjdWxhdGUgYSBicmlkZ2lu ZyByYXRpbyB0aGF0IGlzIGRpcmVjdGx5IGFwcGxpY2FibGUgdG8gYSBzcGVjaWZpYyBkYXRh IGNvbGxlY3Rpb24gc3lzdGVtLCB0aGVuIHVzZSBhIGJyaWRnaW5nIHJhdGlvIGF2YWlsYWJs ZSBmcm9tIGFub3RoZXIgc291cmNlIHRoYXQgbW9zdCBjbG9zZWx5IGFwcHJveGltYXRlcyB0 aGUgcG9wdWxhdGlvbiB1bmRlciBjb25zaWRlcmF0aW9uIChlLmcuLCBzdGF0ZSBvciBjb3Vu dHkgc3VydmV5KS4NDUlmIG5laXRoZXIgb2YgdGhlc2UgbWV0aG9kcyBpcyBwb3NzaWJsZSwg dXNlIGEgc3RhdGlzdGljYWwgbWV0aG9kIHRvIGFzc2lnbiBhbiBpbmRpdmlkdWFsIHRvIGEg Y2F0ZWdvcnkgdXNpbmcgb25lIG9mIHRoZSBmb2xsb3dpbmcgbWV0aG9kczoNd2hvbGUgYXNz aWdubWVudDogYXNzaWduIGFuIGluZGl2aWR1YWyScyByZXNwb25zZXMgdG8gb25lIHJhY2Ug Z3JvdXAgdXNpbmcgZWl0aGVyDXRoZSByYWNlIHdpdGggdGhlIHNtYWxsZXN0IHNpbmdsZS1y YWNlIGNvdW50IChzbWFsbGVzdCBncm91cCk7DXRoZSByYWNlIG90aGVyIHRoYW4gd2hpdGUg d2l0aCB0aGUgaGlnaGVzdCBzaW5nbGUtcmFjZSBjb3VudCAobGFyZ2VzdCBncm91cCBvdGhl ciB0aGFuIHdoaXRlKTsNdGhlIHJhY2Ugd2l0aCB0aGUgbGFyZ2VzdCBzaW5nbGUtcmFjZSBj b3VudCAobGFyZ2VzdCBncm91cCk7IG9yDSB0aGUgcmFjZSB3aXRoIHdoaWNoIG90aGVyIGlu ZGl2aWR1YWxzIGhhdmluZyB0aGUgc2FtZSBjb21iaW5hdGlvbiBvZiByYWNlcyBpZGVudGlm eSBtb3N0IHN0cm9uZ2x5LCB1c2luZyBkYXRhIGNvbGxlY3RlZCBpbiB0aGUgTmF0aW9uYWwg SGVhbHRoIEludGVydmlldyBTdXJ2ZXkgKE5ISVMpIChwbHVyYWxpdHkpLg1mcmFjdGlvbmFs IGFzc2lnbm1lbnQ6ICBhc3NpZ24gYW4gaW5kaXZpZHVhbJJzIHJlc3BvbnNlcyBhcyBmcmFj dGlvbnMgb2YgbXVsdGlwbGUgY2F0ZWdvcmllcyB1c2luZyBlaXRoZXINZXF1YWwgZnJhY3Rp b25zIGZvciBlYWNoIGdyb3VwIChlcXVhbCBmcmFjdGlvbnMpOyBvcg10aGUgZnJhY3Rpb25h bCBwcm9wb3J0aW9uIG9mIGluZGl2aWR1YWxzIGlkZW50aWZ5aW5nIG1vc3Qgc3Ryb25nbHkg d2l0aCBlYWNoIHJhY2UsIGJhc2VkIG9uIE5ISVMgZGF0YSAoTkhJUyBmcmFjdGlvbnMpLg1h bGwgaW5jbHVzaXZlOiAgYXNzaWduIGFuIGluZGl2aWR1YWyScyByZXNwb25zZXMgdG8gZWFj aCByYWNlIHJlcG9ydGVkLiAgSW4gdGhpcyBjYXNlLCB0aGUgc3VtIG9mIHRoZSBjYXRlZ29y aWVzIHRvdGFscyBtb3JlIHRoYW4gMTAwJSBhbmQgbWF5IG5lZWQgdG8gYmUgYWRqdXN0ZWQg Zm9yIGNvbXBhcmlzb24gd2l0aCBwZXJjZW50IGRpc3RyaWJ1dGlvbnMgdW5kZXIgdGhlIG9s ZCBzdGFuZGFyZC4NDUJyaWRnaW5nIG1ldGhvZHMgdXNpbmcgTkhJUyBkYXRhIHdpbGwgY3Vy cmVudGx5IG9ubHkgd29yayBpZiBqdXN0IHR3byByYWNlcyBhcmUgZ2l2ZW4uICBEYXRhIHdl cmUgbm90IHJldGFpbmVkIGluIHRoZSBOSElTIGZvciBtb3JlIHRoYW4gdHdvIHJhY2VzLg0g DUFub3RoZXIgcG9zc2libGUgYnJpZGdpbmcgbWV0aG9kIGlzIGhvdCBkZWNrIGltcHV0YXRp b246ICBhc3NpZ24gdGhlIHJhY2Ugb2YgdGhlIJFuZWFyZXN0IG5laWdoYm9ykiB3aG8gaGFz IHNpbWlsYXIgZGVtb2dyYXBoaWMgY2hhcmFjdGVyaXN0aWNzIGFuZCBoYXMgcmVwb3J0ZWQg YSBzaW5nbGUgcmFjZSB0aGF0IGlzIHRoZSBzYW1lIGFzIG9uZSBvZiB0aGUgcmFjZXMgcmVw b3J0ZWQgYnkgdGhlIG11bHRpcmFjaWFsIGluZGl2aWR1YWwuDQwNU2FtcGxlIFVzZSBvZiBT dGF0aXN0aWNhbCBCcmlkZ2luZyBNZXRob2RzIA0NVGhlIGZvbGxvd2luZyBzY2VuYXJpbyBz aG93cyBob3cgYSBzaW5nbGUgcmFjZSB3b3VsZCBiZSBhc3NpZ25lZCB1c2luZyBlYWNoIG9m IHRoZSBicmlkZ2luZyBtZXRob2RzLiAgQXNzdW1lIGEgcGVyc29uIHJlcG9ydHMgYmVpbmcg Ym90aCBCbGFjayBhbmQgV2hpdGUuICBGb3IgYSBCbGFjay9XaGl0ZSBjb21iaW5hdGlvbiBp biB0aGUgTkhJUywgNzAlIG9mIHRob3NlIGV4cHJlc3NpbmcgYSBjbGVhciBwcmVmZXJlbmNl IGlkZW50aWZpZWQgbW9zdCBjbG9zZWx5IHdpdGggQmxhY2sgYW5kIDMwJSB3aXRoIFdoaXRl Lg0NVXNlIHRoaXMgZXhhbXBsZSB0byBoZWxwIHVuZGVyc3RhbmQgaG93IHRvIGFwcGx5IHRo ZSBkaWZmZXJlbnQgc3RhdGlzdGljYWwgYnJpZGdpbmcgbWV0aG9kcy4NDVRhYmxlIDEuICBF eGFtcGxlIC0gVXNlIG9mIEJyaWRnaW5nIE1ldGhvZHMgdG8gQXNzaWduIGEgU2luZ2xlIFJh Y2UgdG8gT25lIFJlc3BvbmRlbnQgDQ0NTWV0aG9kB051bWJlciBhc3NpZ25lZCB0bzoHBwdC bGFjawdXaGl0ZQcHV2hvbGUgQXNzaWdubWVudDoHBwcHICAgICBTbWFsbGVzdCBncm91cAcx BwcHICAgICBMYXJnZXN0IGdyb3VwIG90aGVyIHRoYW4gV2hpdGUHMQcHByAgICAgTGFyZ2Vz dCBncm91cAcHMQcHICAgICBQbHVyYWxpdHkHMQcHB0ZyYWN0aW9uYWwgQXNzaWdubWVudDoH BwcHICAgICBFcXVhbCBmcmFjdGlvbnMHMC41BzAuNQcHICAgICBOSElTIGZyYWN0aW9ucwcw LjcHMC4zBwdBbGwgSW5jbHVzaXZlICAgICAHMQcxBwcNDQxFdmFsdWF0aW9uIG9mIFN0YXRp c3RpY2FsIEJyaWRnaW5nIE1ldGhvZHMNDVByaW1hcnkgY3JpdGVyaWEgZm9yIGV2YWx1YXRp bmcgYnJpZGdpbmcgbWV0aG9kczogIFRoYXQgdGhleQ1tZWFzdXJlIGNoYW5nZSBvdmVyIHRp bWUgYW5kDWFzc2lnbiBhbiBpbmRpdmlkdWFsknMgcmVzcG9uc2VzIHRvIHRoZSBjYXRlZ29y eSB0aGV5IHdvdWxkIGhhdmUgY2hvc2VuIHVuZGVyIHRoZSBvbGQgc3RhbmRhcmQuICANDURh dGEgc291cmNlcyB1c2VkIGluIHRoZSBldmFsdWF0aW9uOiB0aGUgTkhJUyBkYXRhIGRlc2Ny aWJlZCBhYm92ZSwgdGhlIFdhc2hpbmd0b24gU3RhdGUgUG9wdWxhdGlvbiBTdXJ2ZXkgKFdT UFMpLCBhbmQgdGhlIE1heSAxOTk1IFN1cHBsZW1lbnQgT24gUmFjZSBBbmQgRXRobmljaXR5 IFRvIFRoZSBDdXJyZW50IFBvcHVsYXRpb24gU3VydmV5IChDUFMpLiAgIEVhY2ggb2YgdGhl c2UgZGF0YSBzb3VyY2VzIGFza2VkIGJvdGggYSBxdWVzdGlvbiBzdHJ1Y3R1cmVkIHVuZGVy IHRoZSBvbGQgc3RhbmRhcmQgYW5kIHF1ZXN0aW9ucyBzaW1pbGFyIHRvIHRob3NlIHRoYXQg bWlnaHQgYmUgc3RydWN0dXJlZCB1bmRlciB0aGUgbmV3IHN0YW5kYXJkLg0NR29vZG5lc3Mg b2YgRml0IFRlc3QNDU1ldGhvZCBvZiBldmFsdWF0aW9uOiB1c2UgZWFjaCBicmlkZ2luZyBt ZXRob2QgYW5kIHRoZSBtdWx0aXBsZSByYWNlIGRhdGEgdG8gZXN0aW1hdGUgbnVtYmVycyBl eHBlY3RlZCB1bmRlciB0aGUgb2xkIChzaW5nbGUgcmFjZSkgc3RhbmRhcmQuICBDb21wYXJl IHRoZXNlIG51bWJlcnMgdG8gdGhlIHNpbmdsZSByYWNlIGRpc3RyaWJ1dGlvbiBhY3R1YWxs eSBjb2xsZWN0ZWQsIHdoaWNoIGFwcHJveGltYXRlcyBkYXRhIGNvbGxlY3RlZCB1bmRlciB0 aGUgb2xkIHN0YW5kYXJkLiAgIEV2YWx1YXRlIGFncmVlbWVudCBieSBhIGdvb2RuZXNzIG9m IGZpdCBtZWFzdXJlLCBpbiB0aGlzIGNhc2UgYSBtdWx0aXBsZSBvZiB0aGUgc3RhbmRhcmQg TGlrZWxpaG9vZCBSYXRpbyBHMiBzdGF0aXN0aWMgdXNlZCBpbiBjYXRlZ29yaWNhbCBhbmFs eXNpcy4gIFNtYWxsIHZhbHVlcyBvZiB0aGUgZ29vZG5lc3Mgb2YgZml0IG1lYXN1cmUgaW5k aWNhdGUgdGhhdCB0aGUgZGlzdHJpYnV0aW9ucyBhcmUgY2xvc2UuDQ1UaGUgZm9sbG93aW5n IHRhYmxlIHNob3dzIHRoZSBldmFsdWF0aW9uIHJlc3VsdHMgdXNpbmcgdGhlIFdTUFMsIHdo aWNoIHVzZXMgV2FzaGluZ3RvbiBTdGF0ZSBkYXRhIGFuZCB3b3VsZCB0aGVyZWZvcmUgcHJl c3VtYWJseSBiZSB0aGUgYmVzdCByZXByZXNlbnRhdGlvbiBvZiB3aGF0IHRvIGV4cGVjdCBm b3IgdGhlIFdhc2hpbmd0b24gU3RhdGUgcG9wdWxhdGlvbi4gDQ1Vc2UgdGhpcyB0YWJsZSB0 byBoZWxwIGRlY2lkZSB3aGljaCBzdGF0aXN0aWNhbCBicmlkZ2luZyBtZXRob2RzIHRvIHVz ZS4NDVRhYmxlIDIuICBQZXJjZW50IERpc3RyaWJ1dGlvbiBvZiBSYWNlIGZvciBCcmlkZ2Ug VGFidWxhdGlvbiBNZXRob2RzLCBXYXNoaW5ndG9uIFN0YXRlIFBvcHVsYXRpb24gU3VydmV5 IChXU1BTKQ0NTWV0aG9kB1doaXRlB0JsYWNrB0FJQU4yB0FQSTIHT3RoZXIHVG90YWwHR29v ZG5lc3Mgb2YgIEZpdAcHUmVmZXJlbmNlIERpc3RyaWJ1dGlvbjEHODkuMAcyLjMHMS4zBzMu MAc0LjQHMTAwLjAHBwdBbGwgSW5jbHVzaXZlICAgICAHOTAuMQcyLjgHMy4yBzMuMgc1LjEH MTA0LjQHMC4wMDc3BwdXaG9sZSBBc3NpZ25tZW50OgcHBwcHBwcHByAgICAgU21hbGxlc3Qg Z3JvdXAHODYuMgcyLjQHMy4yBzMuMgc1LjAHMTAwLjAHMC4wMDgzBwcgICAgIExhcmdlc3Qg Z3JvdXAgb3RoZXIgDSAgICAgICAgdGhhbiBXaGl0ZSAgICAgICAHODYuMgcyLjgHMi44BzMu Mgc1LjAHMTAwLjAHMC4wMDY4BwcgICAgIExhcmdlc3QgZ3JvdXAHOTAuMQcyLjQHMC45BzIu OQczLjcHMTAwLjAHMC4wMDE3BwcgICAgIFBsdXJhbGl0eQc4OS43BzIuOAcwLjkHMi45BzMu NwcxMDAuMAcwLjAwMjEHB0ZyYWN0aW9uYWwgQXNzaWdubWVudDoHBwcHBwcHBwcgICAgIEVx dWFsIGZyYWN0aW9ucwc4OC4xBzIuNQcyLjAHMy4xBzQuNAcxMDAuMAcwLjAwMTcHByAgICAg TkhJUyBmcmFjdGlvbnMHODguNgcyLjYHMS4yBzMuMAc0LjYHMTAwLjAHMC4wMDAyBwcxUmVm ZXJlbmNlIGRpc3RyaWJ1dGlvbiBpcyBmcm9tIHRoZSBvcmlnaW5hbCByYWNlIHF1ZXN0aW9u IGNvbmZvcm1pbmcgdG8gdGhlIG9sZCBzdGFuZGFyZA0yQUlBTj0gQW1lcmljYW4gSW5kaWFu IG9yIEFsYXNrYSBOYXRpdmU7IEFQST1Bc2lhbiBvciBQYWNpZmljIElzbGFuZGVyDQ0NQmVz dCBtZXRob2RzIGFjY29yZGluZyB0byB0aGUgZ29vZG5lc3Mgb2YgZml0IG1lYXN1cmU6IGZy YWN0aW9uYWwgYXNzaWdubWVudCB1c2luZyBOSElTIGZyYWN0aW9ucywgZm9sbG93ZWQgYnkg ZnJhY3Rpb25hbCBhc3NpZ25tZW50IHVzaW5nIGVxdWFsIGZyYWN0aW9ucyBhbmQgd2hvbGUg YXNzaWdubWVudCB1c2luZyBlaXRoZXIgdGhlIGxhcmdlc3QgZ3JvdXAgb3IgdGhlIHBsdXJh bGl0eSBtZXRob2QuICBTaW1pbGFyIHJlc3VsdHMgd2VyZSBmb3VuZCB1c2luZyB0aGUgTkhJ UyBhbmQgQ1BTIGRhdGEgc2V0cy4NDU1pc2NsYXNzaWZpY2F0aW9uIFJhdGVzDQ1BcyBUYWJs ZSAyIHNob3dzLCB0aGUgcGVyY2VudCBXaGl0ZSBpcyByZWxhdGl2ZWx5IGluZGVwZW5kZW50 IG9mIHRoZSBicmlkZ2luZyBtZXRob2QgdXNlZC4gIFRoaXMgaXMgbm90IHRoZSBjYXNlIGZv ciBzbWFsbGVyIGdyb3VwcywgZXNwZWNpYWxseSB0aG9zZSBncm91cHMgc3VjaCBhcyBBSUFO IHdoZXJlIGEgbGFyZ2UgcGVyY2VudCBvZiByZXNwb25kZW50cyByZXBvcnQgbW9yZSB0aGFu IG9uZSByYWNlLiAgRm9yIHRoZXNlIGdyb3VwcyBpdCB3aWxsIGJlIGhhcmRlciB0byBjb25z dHJ1Y3QgYW4gYWNjdXJhdGUgYnJpZGdlIHRvIHRoZSBvbGQgc3RhbmRhcmQuDQ1NZXRob2Qg b2YgZXZhbHVhdGlvbjogIGNhbGN1bGF0ZSBtaXNjbGFzc2lmaWNhdGlvbiByYXRlcyBieSBj b21wYXJpbmcgYW4gaW5kaXZpZHVhbJJzIHJhY2UgcmVwb3J0ZWQgdW5kZXIgdGhlIG9sZCBz dGFuZGFyZCAgdG8gdGhlIHJhY2UgYXNzaWduZWQgdW5kZXIgdGhlIG5ldyBzdGFuZGFyZC4g IFRoZSByYWNlIHVuZGVyIHRoZSBvbGQgc3RhbmRhcmQgaXMgZGV0ZXJtaW5lZCBieSBhc2tp bmcgYSBxdWVzdGlvbiBzaW1pbGFyIHRvIHRoZSBvbGQgc3RhbmRhcmQgcXVlc3Rpb24uICBU aGUgcmFjZSB1bmRlciB0aGUgbmV3IHN0YW5kYXJkIGlzIGFzc2lnbmVkIGJ5IHVzaW5nIG9u ZSBvZiB0aGUgYnJpZGdpbmcgbWV0aG9kcy4NDVRhYmxlIDMgZ2l2ZXMgbWlzY2xhc3NpZmlj YXRpb24gcmF0ZXMgZm9yIHRoZSB2YXJpb3VzIGJyaWRnaW5nIG1ldGhvZHMuDQ1Vc2UgdGhp cyB0YWJsZSB0byBhc3Nlc3MgdGhlIGltcGFjdCBvZiB2YXJpb3VzIG1ldGhvZHMgb24gZXN0 aW1hdGVzIGZvciBkaWZmZXJlbnQgcmFjZSBncm91cHMuDQ1UYWJsZSAzLiAgUGVyY2VudCBv ZiBBbGwgUmVzcG9uZGVudHMgTWlzY2xhc3NpZmllZCBieSBCcmlkZ2UgVGFidWxhdGlvbiBN ZXRob2RzLCBXYXNoaW5ndG9uIFN0YXRlIFBvcHVsYXRpb24gU3VydmV5IChXU1BTKQ0NTWV0 aG9kB1doaXRlB0JsYWNrB0FJQU4xB0FQSTEHT3RoZXIHVG90YWwHB1dob2xlIEFzc2lnbm1l bnQ6BwcHBwcHBwcgICAgIFNtYWxsZXN0IGdyb3VwBzMuMgc5LjQHMTEuNQc2LjIHMTAuNAcz LjkHByAgICAgTGFyZ2VzdCBncm91cCBvdGhlciANICAgICAgICB0aGFuIFdoaXRlICAgICAg IAczLjIHMC43BzE0LjIHNi4zBzExLjIHMy43BwcgICAgIExhcmdlc3QgZ3JvdXAHMC42BzIu MwczMi41BzcuMAcyNi43BzIuNAcHICAgICBQbHVyYWxpdHkHMC44BzEuOQczMi4yBzYuOQcy Ni43BzIuNgcHRnJhY3Rpb25hbCBBc3NpZ25tZW50OgcHBwcHBwcHICAgICBFcXVhbCBmcmFj dGlvbnMHMS45BzUuNAcyMi4yBzYuNgcxOC40BzMuMQcHICAgICBOSElTIGZyYWN0aW9ucwcx LjQHMi43BzI5LjQHNi43BzE3LjcHMi43BwcxQUlBTj0gQW1lcmljYW4gSW5kaWFuIG9yIEFs YXNrYSBOYXRpdmU7IEFQST1Bc2lhbiBvciBQYWNpZmljIElzbGFuZGVyDQ1BbGwgbWV0aG9k cyBoYXZlIHN1YnN0YW50aWFsIG1pc2NsYXNzaWZpY2F0aW9uIHJhdGVzIGZvciB0aGUgQUlB TiBhbmQgkU90aGVykiByYWNlIGNhdGVnb3JpZXMuICBCZXN0IG1ldGhvZHMgZm9yIHRoZXNl IGdyb3VwczogIHdob2xlIGFzc2lnbm1lbnQgdXNpbmcgZWl0aGVyIHRoZSBzbWFsbGVzdCBn cm91cCBvciB0aGUgbGFyZ2VzdCBncm91cCBvdGhlciB0aGFuIFdoaXRlLiANDA1CcmlkZ2lu ZyBDb25zaWRlcmF0aW9ucw0NQW4gaWRlYWwgYnJpZGdpbmcgbWV0aG9kIG5vdCBvbmx5IHJl Y3JlYXRlcyB0aGUgcG9wdWxhdGlvbiBkaXN0cmlidXRpb24gdW5kZXIgdGhlIG9sZCBzdGFu ZGFyZCBzbyB0aGF0IHRoZSBvbmx5IGRpZmZlcmVuY2UgcmVtYWluaW5nIGlzIGR1ZSB0byB0 cnVlIGNoYW5nZSBvdmVyIHRpbWUsIGJ1dCBhbHNvIGFzc2lnbnMgYW4gaW5kaXZpZHVhbJJz IHJlc3BvbnNlcyB0byB0aGUgb2xkIGNhdGVnb3J5IHRoYXQgd291bGQgaGF2ZSBiZWVuIGNo b3Nlbi4gIA0NVGhlIGRhdGEgcHJlc2VudGVkIGluIFRhYmxlcyAyIGFuZCAzIGFsbG93IHVz ZXJzLCB3aXRoaW4gbGltaXRzLCB0byBzZWUgaG93IHdlbGwgdGhlIGJyaWRnaW5nIG1ldGhv ZHMgdXNpbmcgcmFjaWFsIGRhdGEgY29sbGVjdGVkIHVuZGVyIHRoZSBuZXcgc3RhbmRhcmRz IGNhbiBtYXRjaCBkYXRhIGZyb20gdGhlIHNhbWUgcmVzcG9uZGVudHMgY29sbGVjdGVkIChh dCB0aGUgc2FtZSB0aW1lKSB1bmRlciB0aGUgb2xkIHN0YW5kYXJkcy4gIFRvIHRoZSBleHRl bnQgdGhhdCB0aGVyZSBpcyBhIG1hdGNoLCBhbnkgY2hhbmdlIG9jY3VycmluZyBmcm9tIG5v dyBvbiB3b3VsZCBpbmRpY2F0ZSB0cnVlIGNoYW5nZS4gIElmIHRoZSBtYXRjaCBpcyBwb29y LCB0cnVlIGNoYW5nZSBjYW5ub3QgYmUgaXNvbGF0ZWQuICBSYWNlIGdyb3VwcyB3aG9zZSBt ZW1iZXJzIHRlbmQgdG8gcmVwb3J0IG9ubHkgb25lIHJhY2UgKGUuZy4sIFdoaXRlcykgd2ls bCBoYXZlIGEgYmV0dGVyIG1hdGNoIHRoYW4gb3RoZXIgZ3JvdXBzLCByZWdhcmRsZXNzIG9m IG1ldGhvZCB1c2VkLg0NVGh1cyBmYXIsIG1vc3Qgb2YgdGhlIHdvcmsgb24gZGV2ZWxvcGlu ZyBicmlkZ2luZyBtZXRob2RzIGhhcyByZWxpZWQgb24gc2FtcGxlIGRhdGEsIGFuZCBzbWFs bCBzYW1wbGVzIGF0IHRoYXQuICBUaHVzLCBvcHRpb25zIGhhdmUgYmVlbiBwcmVzZW50ZWQg YnV0IHVudGlsIGFsbCB0aGUgYW5hbHlzZXMgaGF2ZSBiZWVuIGNvbXBsZXRlZCwgbm8gcmVj b21tZW5kYXRpb25zIG9uIGJyaWRnaW5nIG1ldGhvZHMgd2lsbCBiZSBtYWRlLiANDUFzIHll dCB0aGVyZSBpcyBubyBwbGFuIGZvciBob3cgdGhlIENlbnN1cyBkYXRhIHdpbGwgYmUgYnJp ZGdlZCB0byBwcm92aWRlIHBvcHVsYXRpb24gZGF0YSBieSB0aGUgb2xkIHN0YW5kYXJkLg0N VGhlcmUgYXJlIGluaGVyZW50IHN0cmVuZ3RocyBhbmQgd2Vha25lc3NlcyBpbiBlYWNoIG9m IHRoZSB0YWJ1bGF0aW9uIGFwcHJvYWNoZXMuICBGdXJ0aGVybW9yZSwgYWxsIG9mIHRoZXNl IG1ldGhvZHMgYXJlIHNpbXBsaXN0aWMgY29tcGFyZWQgd2l0aCB0aGUgaHVtYW4gYmVoYXZp b3IgdGhleSBhcmUgc2Vla2luZyB0byBlbXVsYXRlIGFuZCwgYXQgYmVzdCwgYW55IG1ldGhv ZCB3aWxsIG9ubHkgYmUgYWJsZSB0byByZWZsZWN0IHJvdWdobHkgd2hhdCBpcyBzb3VnaHQg aW4gYW4gaGlzdG9yaWNhbCBicmlkZ2UuICBJdCBpcyB1bmNsZWFyIGhvdyBwZW9wbGUgd2ls bCByZXNwb25kIHRvIHRoZSBuZXcgcmFjaWFsIHF1ZXN0aW9ucyBpbiB0aGUgZnV0dXJlIGFu ZCByZXNwb25zZXMgY291bGQgZGlmZmVyIGJ5IG1vZGUgb2YgZGF0YSBjb2xsZWN0aW9uIGFu ZCB3aXRoIHRoZSBzdWJqZWN0IG9mIHRoZSBzdXJ2ZXkuIA0NDQ1SZWZlcmVuY2VzDQ1PZmZp Y2Ugb2YgTWFuYWdlbWVudCBhbmQgQnVkZ2V0LiAgUHJvdmlzaW9uYWwgR3VpZGFuY2Ugb24g dGhlIEltcGxlbWVudGF0aW9uIG9mIHRoZSAxOTk3IFN0YW5kYXJkcyBmb3IgRmVkZXJhbCBE YXRhIG9uIFJhY2UgYW5kIEV0aG5pY2l0eS4gIEZlYnJ1YXJ5IDE3LCAxOTk5Lg08aHR0cDov d3d3LndoaXRlaG91c2UuZ292L09NQi9pbmZvcmVnL3JhY2UucGRmPiAoYXZhaWxhYmxlIHZp YSB3ZWJwYWdlIDxodHRwOi8vd3d3LmNlbnN1cy5nb3YvcG9wdWxhdGlvbi93d3cvc29jZGVt by9yYWNlLmh0bWw+KQ0NV2FzaGluZ3RvbiBTdGF0ZSBPZmZpY2Ugb2YgRmluYW5jaWFsIE1h bmFnZW1lbnQsIFdhc2hpbmd0b24gU3RhdGUgUG9wdWxhdGlvbiBTdXJ2ZXksIFVuZGVyc3Rh bmRpbmcgdGhlIENoYW5nZSBhbmQgSW1wYWN0cyBvZiBSYWNlIFJlLUNsYXNzaWZpY2F0aW9u LCBieSBZaSBaaGFvLCBSZXNlYXJjaCBCcmllZiwgTm8uIDUsIEp1bHkgMTk5OS4gPGh0dHA6 Ly93d3cub2ZtLndhLmdvdi9zcHMvYnJpZWY1LnBkZj4gKGF2YWlsYWJsZSBhdCA8aHR0cDov L3d3dy5vZm0ud2EuZ292L2RhdGFfYV90b2MuaHRtbD4pDUQgUiBBIEYgVA0NRHJhZnQgZm9y IHJldmlld4UuLiATIERBVEUgXEAgIk1NL2RkL3l5IiAUMTAvMTkvOTkVCRMgUEFHRSAUMTcV CQ0NDQ0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAHkGAAD6BgAA LQcAAC4HAAA+BwAAVQcAAGQHAABlBwAAmwcAANEHAAD0CgAADAsAAA0LAACcFgAAPxcAAHkX AAB6FwAAuBcAALkXAAANGAAAEBgAAJsYAADIGAAAdhkAAHwZAABxGgAAixoAAC0bAABfGwAA yxsAANAbAAA3HAAAVxwAACAdAAAhHQAARh0AAL8eAADAHgAAMh8AADMfAAANIAAADyAAACsg AAAsIAAALSAAALIkAAC8JAAA8CQAAPokAAAKJQAADSUAAD4mAAA/JgAASSYAAPYmAAD7JgAA oioAAKMqAACkKgAA4ioAADUrAABCKwAARisAAE4rAABSKwAAaysAAG8rAADJKwAAyisAAMwr AADXKwAA/SsAAAAsAAAWLAAAGCwAADIsAABxLAAA+wD18vUA9fL1APLwAPLs5uzm7ObsAPvy +/L78vvy+/L78vvw8vvy+/L78OQA8vXy9fL78vv18vXy4PLc+9jS2NLYzsvyxPLL8vvy0tgA AAANA2oAAAAAVQgBbUgABARDShYAAAc1CIFDShYACjUIgTYIgUNKGAAABzYIgUNKGAAHNQiB Q0ocAAdDShgASCoBAzUIgQo2CIFCKgFDShgAAAdCKgFDShgAAz4qAQRDShgAAAo1CIE+KgFD ShgAAAc1CIFDShgAAE0ABAAAeQYAAHoGAAB7BgAAuQYAAMEGAADZBgAA+gYAAAUHAAAdBwAA LQcAAD4HAABVBwAAZAcAAJsHAADHBwAAyAcAAMkHAADRBwAA0gcAAPMKAAD0CgAADAsAAA0L AAA/DgAAQA4AAI4SAACPEgAA/QAAAAAAAAAAAAAAAPsAAAAAAAAAAAAAAAD7AAAAAAAAAAAA AAAA+wAAAAAAAAAAAAAAAPkAAAAAAAAAAAAAAAD3AAAAAAAAAAAAAAAA9QAAAAAAAAAAAAAA AP0AAAAAAAAAAAAAAADxAAAAAAAAAAAAAAAA7QAAAAAAAAAAAAAAAP0AAAAAAAAAAAAAAAD1 AAAAAAAAAAAAAAAA/QAAAAAAAAAAAAAAAP0AAAAAAAAAAAAAAADrAAAAAAAAAAAAAAAA+QAA AAAAAAAAAAAAAPkAAAAAAAAAAAAAAAD5AAAAAAAAAAAAAAAA/QAAAAAAAAAAAAAAAP0AAAAA AAAAAAAAAAD9AAAAAAAAAAAAAAAA6AAAAAAAAAAAAAAAAP0AAAAAAAAAAAAAAAD9AAAAAAAA AAAAAAAA/QAAAAAAAAAAAAAAAP0AAAAAAAAAAAAAAAD9AAAAAAAAAAAAAAAAAAMBAAMkAAAB BgAAAwAAEYTQAgADAAAPhNACAAEDAAABEwAAAQUAAAECAAABAAAAGwAEAAB5BgAAegYAAHsG AAC5BgAAwQYAANkGAAD6BgAABQcAAB0HAAAtBwAAPgcAAFUHAABkBwAAmwcAAMcHAADIBwAA yQcAANEHAADSBwAA8woAAPQKAAAMCwAADQsAAD8OAABADgAAjhIAAI8SAAAgFQAAIRUAAD4X AAA/FwAAehcAALkXAAAPGAAAEBgAADEYAAAyGAAAmhgAAJsYAAAA/Pz89vHr6OXi39nW083H wbu4tbKvrKmmo6CdmpeUjoZ+e3Vwa2YAAAAAAAgCDwAGdv///wAIAg8ABt7///8ACAIPAAbf ////AAoCAwAFAgbk8v//AAUG5fL//w8GO/P//wgBAAkBCgIAAAAPBnrz//8IAQAJAQoBAAAA Cga18///CAEACQEABQa28///BQbT9f//BQbU9f//BQZl+P//BQZm+P//BQa0/P//BQa1/P// BQbn////BQbo////BQIBAAUABQbW/P//BQb3////BQb4////CgIFAAUEBnX///8ACgIFAAUE Bnb///8ACgIFAAUEBnf///8ACgIGAAUFBqP///8ABQba////BQbp////CgIDAAUCBj3///8A BQas////BQa8////BQbU////BQbf////CgIDAAUCBqL///8ACAITAAb4////AAoCBQAFBAbC ////AAUCAgAFAQAnjxIAACAVAAAhFQAAPhcAAD8XAAB6FwAAuRcAAA8YAAAQGAAAMRgAADIY AACaGAAAmxgAAKAYAAB2GQAAcRoAAC0bAADLGwAANhwAADccAABEHAAAIB0AACEdAABGHQAA Rx0AANYdAADAHgAA/QAAAAAAAAAAAAAAAP0AAAAAAAAAAAAAAAD9AAAAAAAAAAAAAAAA/QAA AAAAAAAAAAAAAPQAAAAAAAAAAAAAAAD0AAAAAAAAAAAAAAAA9AAAAAAAAAAAAAAAAP0AAAAA AAAAAAAAAADyAAAAAAAAAAAAAAAA7wAAAAAAAAAAAAAAAO8AAAAAAAAAAAAAAADvAAAAAAAA AAAAAAAA5AAAAAAAAAAAAAAAAPQAAAAAAAAAAAAAAAD0AAAAAAAAAAAAAAAA9AAAAAAAAAAA AAAAAPQAAAAAAAAAAAAAAAD0AAAAAAAAAAAAAAAA/QAAAAAAAAAAAAAAAOQAAAAAAAAAAAAA AAD0AAAAAAAAAAAAAAAA/QAAAAAAAAAAAAAAAOIAAAAAAAAAAAAAAAD9AAAAAAAAAAAAAAAA 5AAAAAAAAAAAAAAAAOQAAAAAAAAAAAAAAAAAAAAAAAAAAQIACwAACiYAC0YBAA+EaAENxgUA AWgBAAMPAAMkAAABAwAJAAAKJgALRgEADcYFAAHQAgAAAQAAABqbGAAAoBgAAHYZAABxGgAA LRsAAMsbAAA2HAAANxwAAEQcAAAgHQAAIR0AAEYdAABHHQAA1h0AAMAeAAAzHwAADiAAAA8g AAAsIAAALSAAAH4hAAA+IwAAnCMAAEkkAADKJAAASSUAALglAABbJgAA9+/n39fPzMS8ubOw qKCalACRjoZ+dm5mXlZOAAAAAAAAAAAAAAAAAAAAAAAPBkP6//8IAQAJAQoWAAAADway+v// CAEACQEKFQAAAA8GMfv//wgBAAkBChQAAAAPBrL7//8IAQAJAQoTAAAADwZf/P//CAEACQEK EgAAAA8Gvfz//wgBAAkBChEAAAAPBn3+//8IAQAJAQoQAAAADwbO////CAEACQEKDwAAAAUG z////wUCAgAFAQoIAQAJAQoOAAAAAAoIAQAJAQoNAAAAAA8GS////wgBAAkBCgwAAAAPBtr/ //8IAQAJAQoLAAAABQbb////CgICAAUBBtPt//8ABQbw+v//DwbM+///CAEACQEKCgAAAA8G 2fv//wgBAAkBCgkAAAAFBtr7//8PBkX8//8IAQAJAQoIAAAADwbj/P//CAEACQEKBwAAAA8G n/3//wgBAAkBCgYAAAAPBpr+//8IAQAJAQoFAAAADwZw////CAEACQEKBAAAAA8Gdf///wgB AAkBCgMAAAAAG8AeAAAzHwAADiAAAA8gAAAsIAAALSAAAH4hAAA+IwAAnCMAAEkkAADKJAAA SSUAALglAABbJgAAjyYAAP4mAADBJwAAGigAAGUoAADYKAAASCkAADQqAACkKgAApioAAOIq AADjKgAADysAAPQAAAAAAAAAAAAAAAD0AAAAAAAAAAAAAAAA8gAAAAAAAAAAAAAAAPAAAAAA AAAAAAAAAADyAAAAAAAAAAAAAAAA9AAAAAAAAAAAAAAAAPQAAAAAAAAAAAAAAAD0AAAAAAAA AAAAAAAA9AAAAAAAAAAAAAAAAPQAAAAAAAAAAAAAAAD0AAAAAAAAAAAAAAAA5wAAAAAAAAAA AAAAAOcAAAAAAAAAAAAAAADnAAAAAAAAAAAAAAAA5wAAAAAAAAAAAAAAAOcAAAAAAAAAAAAA AAD0AAAAAAAAAAAAAAAA5wAAAAAAAAAAAAAAAOcAAAAAAAAAAAAAAADnAAAAAAAAAAAAAAAA 9AAAAAAAAAAAAAAAAPQAAAAAAAAAAAAAAADyAAAAAAAAAAAAAAAA8gAAAAAAAAAAAAAAAOEA AAAAAAAAAAAAAADhAAAAAAAAAAAAAAAAAAAAAAAFAAANxgUAAWgBAAkAAAomAAtGAQANxgUA AWgBAAABAgAAAQAACwAACiYAC0YBAA+EaAENxgUAAWgBAAAaWyYAAI8mAAD+JgAAwScAABoo AABlKAAA2CgAAEgpAAA0KgAApCoAAKYqAADiKgAA4yoAAA8rAAAQKwAAaysAAIsrAACtKwAA vysAAMorAAD+KwAA/ysAAAAsAABxLAAAdywAAJQsAADjLAAA5CwAAPEsAAD37+ff18/Hv7e0 sa6rqKWdlY2FfXl1cWlhWVVNAAAAAAAAAAAAAA8GF/P//wgCAAkBCigAAAAHBhjz//8HDA8G Z/P//wgCAAkBCicAAAAPBoTz//8IAgAJAQomAAAADwaK8///CAIACQEKJQAAAAcG+/P//wcM Bwb88///BwwHBv3z//8HDA8GMfT//wgCAAkBCiQAAAAPBjz0//8IAgAJAQojAAAADwZO9P// CAIACQEKIgAAAA8GcPT//wgCAAkBCiEAAAAPBpD0//8IAgAJAQogAAAABQbr9P//BQbs9P// BQYY9f//BQYZ9f//BQZV9f//BQZX9f//DwbH9f//CAEACQEKHwAAAA8Gs/b//wgBAAkBCh4A AAAPBiP3//8IAQAJAQodAAAADwaW9///CAEACQEKHAAAAA8G4ff//wgBAAkBChsAAAAPBjr4 //8IAQAJAQoaAAAADwb9+P//CAEACQEKGQAAAA8GbPn//wgBAAkBChgAAAAPBqD5//8IAQAJ AQoXAAAAABwPKwAAECsAAGsrAACLKwAArSsAAL8rAADKKwAA/isAAP8rAAAALAAAcSwAAHcs AACULAAA4ywAAOQsAADxLAAA+SwAAAItAAALLQAAEi0AAB0tAAAtLQAAQy0AAEotAABLLQAA Zy0AAI0tAAD5AAAAAAAAAAAAAAAA+QAAAAAAAAAAAAAAAPAAAAAAAAAAAAAAAADwAAAAAAAA AAAAAAAA8AAAAAAAAAAAAAAAAPAAAAAAAAAAAAAAAADwAAAAAAAAAAAAAAAA5wAAAAAAAAAA AAAAAOcAAAAAAAAAAAAAAADnAAAAAAAAAAAAAAAA8AAAAAAAAAAAAAAAAPAAAAAAAAAAAAAA AADwAAAAAAAAAAAAAAAA5wAAAAAAAAAAAAAAAPAAAAAAAAAAAAAAAADwAAAAAAAAAAAAAAAA 8AAAAAAAAAAAAAAAAPAAAAAAAAAAAAAAAADwAAAAAAAAAAAAAAAA8AAAAAAAAAAAAAAAAPAA AAAAAAAAAAAAAADwAAAAAAAAAAAAAAAA8AAAAAAAAAAAAAAAAPAAAAAAAAAAAAAAAADwAAAA AAAAAAAAAAAA8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJAAAKJgwLRgAADcYFAAFo AQAJAAAKJgALRgIADcYFAAFoAQAABQAADcYFAAFoAQAAGnEsAACULAAAliwAAOIsAADjLAAA 5CwAAEstAABNLQAAZy0AAGktAACNLQAAji0AAJAtAACuLQAAsC0AAM4tAADPLQAA9y8AAAEw AABZMAAAZDAAALIwAADEMAAAmzEAALExAAAiMwAAJDMAANgzAADZMwAAAzQAAAQ0AABZNAAA WjQAALE0AAC1NQAAtjUAAKg2AACpNgAAXzcAAGA3AAAGOAAABzgAAF04AABfOAAAoDsAAKM7 AABpPQAAaj0AACA+AAAhPgAANj8AAE4/AABTPwAAVD8AAKo/AACARQAAgUUAAKtFAACsRQAA wkcAAMNHAAAZSAAAG0gAABxIAAAoSQAANkkAAFJJAABTSQAAVEwAAFVMAABsTAAAskwAAJpN AACfTQAA5U0AAHZOAAD3TgAAClAAAD5QAABAUAAA/fb98+/99v32/ev2/esA6/Pl8+vz6/Pr 8+vz4fPh898A8+vz4fPh898A6/Pb8+Hz4fPv898A8+Hz4fPfAPPX8+Xz6/PrANPN08vTy9PL 0wAAAAAAAAADQioBCjYIgUIqAUNKGAAAB0IqAUNKGAAHNQiBQ0ocAAc+KgFDShgAA0gqAQdD ShgASCoBCjUIgT4qAUNKGAAABzUIgUNKGAAHNgiBQ0oYAARDShgAAA0DagAAAABVCAFtSAAE BENKFgBP8SwAAPksAAACLQAACy0AABItAAAdLQAALS0AAEMtAABKLQAASy0AAGctAACNLQAA ji0AAK4tAACvLQAAsC0AAM4tAADPLQAAMS4AADIuAAAhLwAAIi8AAMkvAADKLwAAWDAAAFkw AACxMAAAsjAAAJoxAAD37+ff18/Hv7evp6ObmJWPjISAeHRsaWFeVlJKAAAAAA8G6vz//wgB AAkBCjoAAAAHBuv8//8HDA8GQ/3//wgBAAkBCjkAAAAFBkT9//8PBtL9//8IAQAJAQo4AAAA BQbT/f//DwZ6/v//CAEACQEKNwAAAAcGe/7//wcMDwZq////CAEACQEKNgAAAAcGa////wcM DwbN////CAEACQEKNQAAAAUGzv///woCAwAFAgZL8v//AAUGTPL//wUGTfL//w8GbfL//wgC AAkBCjQAAAAHBm7y//8HDA8GlPL//wgCAAkBCjMAAAAPBrDy//8IAgAJAQoyAAAADwax8v// CAIACQEKMQAAAA8GuPL//wgCAAkBCjAAAAAPBs7y//8IAgAJAQovAAAADwbe8v//CAIACQEK LgAAAA8G6fL//wgCAAkBCi0AAAAPBvDy//8IAgAJAQosAAAADwb58v//CAIACQEKKwAAAA8G AvP//wgCAAkBCioAAAAPBgrz//8IAgAJAQopAAAAAByNLQAAji0AAK4tAACvLQAAsC0AAM4t AADPLQAAMS4AADIuAAAhLwAAIi8AAMkvAADKLwAAWDAAAFkwAACxMAAAsjAAAJoxAACbMQAA lTIAAJYyAAAkMwAAJjMAAPYAAAAAAAAAAAAAAADtAAAAAAAAAAAAAAAA5wAAAAAAAAAAAAAA AOcAAAAAAAAAAAAAAADhAAAAAAAAAAAAAAAA5wAAAAAAAAAAAAAAANYAAAAAAAAAAAAAAADR AAAAAAAAAAAAAAAA1gAAAAAAAAAAAAAAANEAAAAAAAAAAAAAAADWAAAAAAAAAAAAAAAAzwAA AAAAAAAAAAAAANYAAAAAAAAAAAAAAADPAAAAAAAAAAAAAAAAxgAAAAAAAAAAAAAAAL8AAAAA AAAAAAAAAADGAAAAAAAAAAAAAAAAvwAAAAAAAAAAAAAAAMYAAAAAAAAAAAAAAADPAAAAAAAA AAAAAAAAzwAAAAAAAAAAAAAAAM8AAAAAAAAAAAAAAAAAAAAABwAACiYMC0YAAA+EaAEJAAAK JgALRgEADcYFAAHQAgAAAQAABQAACiYMC0YAAAsAAAomAAtGAQAPhGgBDcYFAAFoAQAABQMA DcYFAAFoAQAABQAADcYFAAFoAQAJAAAKJgALRgIADcYFAAFoAQAJAAAKJgwLRgAADcYFAAFo AQAAFpoxAACbMQAAlTIAAJYyAAAkMwAAJjMAAH8zAACAMwAAsDMAALEzAAC2MwAAvTMAAMUz AADGMwAAzDMAAM0zAADOMwAAzzMAANozAADbMwAA3DMAAN0zAADoMwAA6TMAAOozAADrMwAA 9jMAAPczAAD4MwAA+TMAAAU0AAAGNAAABzQAAAg0AAATNAAAFDQAAPvz8O3q4t/c2dTPysbB vLezrqmkoJuWkY2Ig356dXBrZ2JdAAAAAAAAAAkDAQUKBon5//8JAwEFCgaU+f//BwMBBpX5 //8JAwEFCgaW+f//CQMBBQoGl/n//wkDAQUKBqP5//8HAwEGpPn//wkDAQUKBqX5//8JAwEF Cgam+f//CQMBBQoGsfn//wcDAQay+f//CQMBBQoGs/n//wkDAQUKBrT5//8JAwEFCga/+f// BwMBBsD5//8JAwEFCgbB+f//CQMBBQoGwvn//wkDAQUKBs35//8HAwEGzvn//wkDAQUKBs/5 //8JAwEFCgbQ+f//CQMBBQoG1vn//wcDAQbX+f//CQMBBQoG3/n//wkDAQUKBub5//8JAwEF Cgbr+f//BQbs+f//BQYc+v//BQYd+v//DwZ2+v//CAEACQEKPAAAAAUGePr//wUGBvv//wUG B/v//w8GAfz//wgBAAkBCjsAAAAHBgL8//8HDAAjJjMAAH8zAACAMwAAsDMAALEzAAC2MwAA vTMAAMUzAADGMwAAzDMAAM0zAADOMwAAzzMAANozAADbMwAA3DMAAN0zAADoMwAA6TMAAPQA AAAAAAAAAAAAAADyAAAAAAAAAAAAAAAA8gAAAAAAAAAAAAAAAPIAAAAAAAAAAAAAAADvAAAA AAAAAAAAAAAA7wAAAAAAAAAAAAAAAO8AAAAAAAAAAAAAAAC2JAAAAAAAAAAAAAAA7wAAAAAA AAAAAAAAAO8AAAAAAAAAAAAAAADvAAAAAAAAAAAAAAAAmzgAAAAAAAAAAAAAAO8AAAAAAAAA AAAAAADvAAAAAAAAAAAAAAAA7wAAAAAAAAAAAAAAAJs4AAAAAAAAAAAAAADvAAAAAAAAAAAA AAAA7wAAAAAAAAAAAAAAAAAaAAAWJAEXJAEClmwABdYYDAELAAAAAAAMAQsAAAAAAAAAAAAA AAAACNYKAAM4BPENUhJwFgA4AAAWJAEXJAEClmwABdYYDAELAAAAAAAMAQsAAAAAAAAAAAAA AAAACNZGAAM4BPENUhJwFgAAAAAAAAAAAAAAAAYBCwAAAAAAAAAAAAAAAAAAAAAABgELAAAA AAAAAAAAAAAAAAAAAAAGAQsAAAAAAAMAABYkAQABAAALAAAKJgALRgEAD4RoAQ3GBQABaAEA ABLpMwAA6jMAAOszAAD2MwAA9zMAAPgzAAD5MwAABTQAAAY0AAAHNAAACDQAABM0AAAUNAAA FTQAABY0AAAhNAAAIjQAACM0AAAkNAAAPDQAAD00AAA+NAAAPzQAAFY0AABXNAAAWDQAAFk0 AAD8AAAAAAAAAAAAAAAA4TgAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA /AAAAAAAAAAAAAAAAOE8AAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwA AAAAAAAAAAAAAADhOAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAA AAAAAAAAAAAA4TgAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAA AAAAAAAAAOFsAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAA AAAAAADhaAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAA AAAA4QAAAAAAAAAAAAAAAAAAAAAAGgAAFiQBFyQBApZsAAXWGAwBCwAAAAAADAELAAAAAAAA AAAAAAAAAAjWCgADOATxDVIScBYDAAAWJAEAGhQ0AAAVNAAAFjQAACE0AAAiNAAAIzQAACQ0 AAA8NAAAPTQAAD40AAA/NAAAVjQAAFc0AABYNAAAWTQAALE0AACyNAAAtTUAALY1AABONgAA TzYAAIA2AACBNgAAhjYAAI02AACVNgAAljYAAJw2AACdNgAAnjYAAJ82AACqNgAAqzYAAKw2 AACtNgAAuDYAAPr28ezn497Z1NDLxsG9urevrKShnpuWkYyIg355dXBrZmJdAAAAAAAAAAkD AQUKBu/2//8HAwEG8Pb//wkDAQUKBvH2//8JAwEFCgby9v//CQMBBQoG/fb//wcDAQb+9v// CQMBBQoG//b//wkDAQUKBgD3//8JAwEFCgYG9///BwMBBgf3//8JAwEFCgYP9///CQMBBQoG Fvf//wkDAQUKBhv3//8FBhz3//8FBk33//8FBk73//8PBub3//8IAQAJAQo+AAAABQbn9/// Dwbq+P//CAEACQEKPQAAAAUG6/j//wUGQ/n//wcDAQZE+f//CQMBBQoGRfn//wkDAQUKBkb5 //8JAwEFCgZd+f//BwMBBl75//8JAwEFCgZf+f//CQMBBQoGYPn//wkDAQUKBnj5//8HAwEG efn//wkDAQUKBnr5//8JAwEFCgZ7+f//CQMBBQoGhvn//wcDAQaH+f//CQMBBQoGiPn//wAj WTQAALE0AACyNAAAtTUAALY1AABONgAATzYAAIA2AACBNgAAhjYAAI02AACVNgAAljYAAJw2 AACdNgAAnjYAAJ82AACqNgAAqzYAAP0AAAAAAAAAAAAAAAD9AAAAAAAAAAAAAAAA8gAAAAAA AAAAAAAAAP0AAAAAAAAAAAAAAADyAAAAAAAAAAAAAAAA/QAAAAAAAAAAAAAAAP0AAAAAAAAA AAAAAAD9AAAAAAAAAAAAAAAA7wAAAAAAAAAAAAAAAO8AAAAAAAAAAAAAAADvAAAAAAAAAAAA AAAAtiQAAAAAAAAAAAAAAO8AAAAAAAAAAAAAAADvAAAAAAAAAAAAAAAA7wAAAAAAAAAAAAAA AJs4AAAAAAAAAAAAAADvAAAAAAAAAAAAAAAA7wAAAAAAAAAAAAAAAAAaAAAWJAEXJAEClmwA BdYYDAELAAAAAAAMAQsAAAAAAAAAAAAAAAAACNYKAAM4BPENUhJwFgA4AAAWJAEXJAEClmwA BdYYDAELAAAAAAAMAQsAAAAAAAAAAAAAAAAACNZGAAM4BPENUhJwFgAAAAAAAAAAAAAAAAYB CwAAAAAAAAAAAAAAAAAAAAAABgELAAAAAAAAAAAAAAAAAAAAAAAGAQsAAAAAAAMAABYkAQsA AAomAAtGAQAPhGgBDcYFAAFoAQAAAQAAABKrNgAArDYAAK02AAC4NgAAuTYAALo2AAC7NgAA 0jYAANM2AADUNgAA1TYAAOg2AADpNgAA6jYAAOs2AAD/NgAAADcAAAE3AAACNwAAFjcAABc3 AAAYNwAAGTcAACs3AAAsNwAALTcAAC43AAD8AAAAAAAAAAAAAAAA4TgAAAAAAAAAAAAAAPwA AAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAOFoAAAAAAAAAAAAAAD8AAAA AAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAADhWAAAAAAAAAAAAAAA/AAAAAAA AAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA4VwAAAAAAAAAAAAAAPwAAAAAAAAA AAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAOFcAAAAAAAAAAAAAAD8AAAAAAAAAAAA AAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAADhVAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAA APwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA4WQAAAAAAAAAAAAAAAAAAAAAGgAAFiQBFyQB ApZsAAXWGAwBCwAAAAAADAELAAAAAAAAAAAAAAAAAAjWCgADOATxDVIScBYDAAAWJAEAGrg2 AAC5NgAAujYAALs2AADSNgAA0zYAANQ2AADVNgAA6DYAAOk2AADqNgAA6zYAAP82AAAANwAA ATcAAAI3AAAWNwAAFzcAABg3AAAZNwAAKzcAACw3AAAtNwAALjcAAEQ3AABFNwAARjcAAEc3 AABSNwAAUzcAAFQ3AABVNwAAYTcAAGI3AABjNwAA+vXx7Ofi3tnUz8vGwby4s66ppaCblpKN iIN/enVwbGdiXQAAAAAAAAAAAAAAAAkDAQUKBjr2//8JAwEFCgY79v//CQMBBQoGR/b//wcD AQZI9v//CQMBBQoGSfb//wkDAQUKBkr2//8JAwEFCgZV9v//BwMBBlb2//8JAwEFCgZX9v// CQMBBQoGWPb//wkDAQUKBm72//8HAwEGb/b//wkDAQUKBnD2//8JAwEFCgZx9v//CQMBBQoG g/b//wcDAQaE9v//CQMBBQoGhfb//wkDAQUKBob2//8JAwEFCgaa9v//BwMBBpv2//8JAwEF Cgac9v//CQMBBQoGnfb//wkDAQUKBrH2//8HAwEGsvb//wkDAQUKBrP2//8JAwEFCga09v// CQMBBQoGx/b//wcDAQbI9v//CQMBBQoGyfb//wkDAQUKBsr2//8JAwEFCgbh9v//BwMBBuL2 //8JAwEFCgbj9v//CQMBBQoG5Pb//wAiLjcAAEQ3AABFNwAARjcAAEc3AABSNwAAUzcAAFQ3 AABVNwAAYTcAAGI3AABjNwAAZDcAAG83AABwNwAAcTcAAHI3AAB9NwAAfjcAAH83AACANwAA mDcAAJk3AACaNwAAmzcAALI3AACzNwAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAA AAAAAAAAAAAA4TgAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAA AAAAAAAAAOE8AAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAA AAAAAADhOAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAA AAAA4TgAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAA AOFsAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAADh aAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAAAAAAAABoAABYkARckAQKW bAAF1hgMAQsAAAAAAAwBCwAAAAAAAAAAAAAAAAAI1goAAzgE8Q1SEnAWAwAAFiQBABpjNwAA ZDcAAG83AABwNwAAcTcAAHI3AAB9NwAAfjcAAH83AACANwAAmDcAAJk3AACaNwAAmzcAALI3 AACzNwAAtDcAALU3AADNNwAAzjcAAM83AADQNwAA6TcAAOo3AADrNwAA7DcAAAM4AAAEOAAA BTgAAAY4AABeOAAAXzgAAF86AABgOgAANTwAADY8AAD79vHs6OPe2dXQy8bCvbizr6qloJyX ko2JhH96dnNwaGVdWgAFBmfx//8PBjzz//8IAQAJAQpAAAAABQY98///DwY99f//CAEACQEK PwAAAAUGPvX//wUGlvX//wcDAQaX9f//CQMBBQoGmPX//wkDAQUKBpn1//8JAwEFCgaw9f// BwMBBrH1//8JAwEFCgay9f//CQMBBQoGs/X//wkDAQUKBsz1//8HAwEGzfX//wkDAQUKBs71 //8JAwEFCgbP9f//CQMBBQoG5/X//wcDAQbo9f//CQMBBQoG6fX//wkDAQUKBur1//8JAwEF CgYB9v//BwMBBgL2//8JAwEFCgYD9v//CQMBBQoGBPb//wkDAQUKBhz2//8HAwEGHfb//wkD AQUKBh72//8JAwEFCgYf9v//CQMBBQoGKvb//wcDAQYr9v//CQMBBQoGLPb//wkDAQUKBi32 //8JAwEFCgY49v//BwMBBjn2//8AI7M3AAC0NwAAtTcAAM03AADONwAAzzcAANA3AADpNwAA 6jcAAOs3AADsNwAAAzgAAAQ4AAAFOAAABjgAAF44AABfOAAAXzoAAGA6AAA1PAAANjwAAOw8 AADtPAAAQT0AAEI9AAD8AAAAAAAAAAAAAAAA4WwAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8 AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAOFwAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAA AAAAAAAAAAAAAPwAAAAAAAAAAAAAAADhaAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAA AAAAAAAAAAD8AAAAAAAAAAAAAAAA4QAAAAAAAAAAAAAAAN8AAAAAAAAAAAAAAADfAAAAAAAA AAAAAAAA1AAAAAAAAAAAAAAAAN8AAAAAAAAAAAAAAADUAAAAAAAAAAAAAAAA3wAAAAAAAAAA AAAAANQAAAAAAAAAAAAAAADfAAAAAAAAAAAAAAAA3wAAAAAAAAAAAAAAAN8AAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAALAAAKJgALRgEAD4RoAQ3GBQABaAEAAAEAAAAaAAAWJAEXJAEClmwA BdYYDAELAAAAAAAMAQsAAAAAAAAAAAAAAAAACNYKAAM4BPENUhJwFgMAABYkAQAYNjwAAOw8 AADtPAAAQT0AAEI9AABHPQAATj0AAFY9AABXPQAAXT0AAF49AABfPQAAYD0AAGs9AABsPQAA bT0AAG49AAB5PQAAej0AAHs9AAB8PQAAkz0AAJQ9AACVPQAAlj0AAKk9AACqPQAAqz0AAKw9 AADAPQAAwT0AAMI9AADDPQAA1z0AANg9AADZPQAA9/Tx7unk39vW0czIw765tbCrpqKdmJOP ioWAfHdybWlkX1oACQMBBQoGxO///wkDAQUKBsXv//8JAwEFCgbZ7///BwMBBtrv//8JAwEF Cgbb7///CQMBBQoG3O///wkDAQUKBvDv//8HAwEG8e///wkDAQUKBvLv//8JAwEFCgbz7/// CQMBBQoGBvD//wcDAQYH8P//CQMBBQoGCPD//wkDAQUKBgnw//8JAwEFCgYg8P//BwMBBiHw //8JAwEFCgYi8P//CQMBBQoGI/D//wkDAQUKBi7w//8HAwEGL/D//wkDAQUKBjDw//8JAwEF CgYx8P//CQMBBQoGPPD//wcDAQY98P//CQMBBQoGPvD//wkDAQUKBj/w//8JAwEFCgZF8P// BwMBBkbw//8JAwEFCgZO8P//CQMBBQoGVfD//wkDAQUKBlrw//8FBlvw//8FBq/w//8FBrDw //8PBmbx//8IAQAJAQpBAAAAACNCPQAARz0AAE49AABWPQAAVz0AAF09AABePQAAXz0AAGA9 AABrPQAAbD0AAG09AABuPQAAeT0AAHo9AAB7PQAAfD0AAJM9AACUPQAAlT0AAPwAAAAAAAAA AAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAMMkAAAAAAAAAAAAAAD8AAAAAAAAAAAA AAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAACoOAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAA APwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAAqDgAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8 AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAKhoAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAA AAAAAAAAAAAAAPwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGgAAFiQBFyQBApZsAAXWGAwBCwAA AAAADAELAAAAAAAAAAAAAAAAAAjWCgADOAR4D7ATjhcAOAAAFiQBFyQBApZsAAXWGAwBCwAA AAAADAELAAAAAAAAAAAAAAAAAAjWRgADOAR4D7ATjhcAAAAAAAAAAAAAAAAGAQsAAAAAAAAA AAAAAAAAAAAAAAYBCwAAAAAAAAAAAAAAAAAAAAAABgELAAAAAAADAAAWJAEAE5U9AACWPQAA qT0AAKo9AACrPQAArD0AAMA9AADBPQAAwj0AAMM9AADXPQAA2D0AANk9AADaPQAA7D0AAO09 AADuPQAA7z0AAAU+AAAGPgAABz4AAAg+AAATPgAAFD4AABU+AAAWPgAAIj4AAORYAAAAAAAA AAAAAADhAAAAAAAAAAAAAAAA4QAAAAAAAAAAAAAAAOEAAAAAAAAAAAAAAADkXAAAAAAAAAAA AAAA4QAAAAAAAAAAAAAAAOEAAAAAAAAAAAAAAADhAAAAAAAAAAAAAAAA5FwAAAAAAAAAAAAA AOEAAAAAAAAAAAAAAADhAAAAAAAAAAAAAAAA4QAAAAAAAAAAAAAAAORUAAAAAAAAAAAAAADh AAAAAAAAAAAAAAAA4QAAAAAAAAAAAAAAAOEAAAAAAAAAAAAAAADkZAAAAAAAAAAAAAAA4QAA AAAAAAAAAAAAAOEAAAAAAAAAAAAAAADhAAAAAAAAAAAAAAAA5DgAAAAAAAAAAAAAAOEAAAAA AAAAAAAAAADhAAAAAAAAAAAAAAAA4QAAAAAAAAAAAAAAAOQ8AAAAAAAAAAAAAADhAAAAAAAA AAAAAAAAAAAAAAMAABYkAQAaAAAWJAEXJAEClmwABdYYDAELAAAAAAAMAQsAAAAAAAAAAAAA AAAACNYKAAM4BHgPsBOOFwAa2T0AANo9AADsPQAA7T0AAO49AADvPQAABT4AAAY+AAAHPgAA CD4AABM+AAAUPgAAFT4AABY+AAAiPgAAIz4AACQ+AAAlPgAAMD4AADE+AAAyPgAAMz4AAD4+ AAA/PgAAQD4AAEE+AABZPgAAWj4AAFs+AABcPgAAcz4AAHQ+AAB1PgAAdj4AAI4+AAD79vHs 6OPe2dXQy8bCvbizr6qloJyXko2JhH96dnFsZ2NeAAAAAAAAAAAAAAAAAAAJAwEFCgYm7/// BwMBBifv//8JAwEFCgYo7///CQMBBQoGKe///wkDAQUKBkDv//8HAwEGQe///wkDAQUKBkLv //8JAwEFCgZD7///CQMBBQoGW+///wcDAQZc7///CQMBBQoGXe///wkDAQUKBl7v//8JAwEF CgZp7///BwMBBmrv//8JAwEFCgZr7///CQMBBQoGbO///wkDAQUKBnfv//8HAwEGeO///wkD AQUKBnnv//8JAwEFCgZ67///CQMBBQoGhu///wcDAQaH7///CQMBBQoGiO///wkDAQUKBonv //8JAwEFCgaU7///BwMBBpXv//8JAwEFCgaW7///CQMBBQoGl+///wkDAQUKBq3v//8HAwEG ru///wkDAQUKBq/v//8JAwEFCgaw7///CQMBBQoGwu///wcDAQbD7///ACIiPgAAIz4AACQ+ AAAlPgAAMD4AADE+AAAyPgAAMz4AAD4+AAA/PgAAQD4AAEE+AABZPgAAWj4AAFs+AABcPgAA cz4AAHQ+AAB1PgAAdj4AAI4+AACPPgAAkD4AAJE+AACqPgAAqz4AAKw+AAD8AAAAAAAAAAAA AAAA/AAAAAAAAAAAAAAAAOE4AAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAA APwAAAAAAAAAAAAAAADhOAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8 AAAAAAAAAAAAAAAA4WwAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAA AAAAAAAAAAAAAOFoAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAA AAAAAAAAAADhbAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAA AAAAAAAA4XAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAA AAAAAAAAAAAAGgAAFiQBFyQBApZsAAXWGAwBCwAAAAAADAELAAAAAAAAAAAAAAAAAAjWCgAD OAR4D7ATjhcDAAAWJAEAGo4+AACPPgAAkD4AAJE+AACqPgAAqz4AAKw+AACtPgAAxD4AAMU+ AADGPgAAxz4AANo+AADbPgAA3D4AAN0+AAD5PgAA+j4AAPs+AAD8PgAAEj8AABM/AAAUPwAA FT8AADI/AAAzPwAAND8AADU/AABQPwAAUT8AAFI/AABTPwAAqz8AAKw/AAD4QAAA+UAAAPr1 8ezn4t7Z1M/LxsG8uLOuqaWgm5aSjYiDf3p1cGxpZl5bAAAABQak7P//Dwbw7f//CAEACQEK QgAAAAUG8e3//wUGSe7//wcDAQZK7v//CQMBBQoGS+7//wkDAQUKBkzu//8JAwEFCgZn7v// BwMBBmju//8JAwEFCgZp7v//CQMBBQoGau7//wkDAQUKBofu//8HAwEGiO7//wkDAQUKBonu //8JAwEFCgaK7v//CQMBBQoGoO7//wcDAQah7v//CQMBBQoGou7//wkDAQUKBqPu//8JAwEF Cga/7v//BwMBBsDu//8JAwEFCgbB7v//CQMBBQoGwu7//wkDAQUKBtXu//8HAwEG1u7//wkD AQUKBtfu//8JAwEFCgbY7v//CQMBBQoG7+7//wcDAQbw7v//CQMBBQoG8e7//wkDAQUKBvLu //8JAwEFCgYL7///BwMBBgzv//8JAwEFCgYN7///CQMBBQoGDu///wAjrD4AAK0+AADEPgAA xT4AAMY+AADHPgAA2j4AANs+AADcPgAA3T4AAPk+AAD6PgAA+z4AAPw+AAASPwAAEz8AABQ/ AAAVPwAAMj8AADM/AAA0PwAANT8AAFA/AABRPwAAUj8AAFM/AACrPwAA5GgAAAAAAAAAAAAA AOEAAAAAAAAAAAAAAADhAAAAAAAAAAAAAAAA4QAAAAAAAAAAAAAAAORYAAAAAAAAAAAAAADh AAAAAAAAAAAAAAAA4QAAAAAAAAAAAAAAAOEAAAAAAAAAAAAAAADkfAAAAAAAAAAAAAAA4QAA AAAAAAAAAAAAAOEAAAAAAAAAAAAAAADhAAAAAAAAAAAAAAAA5GQAAAAAAAAAAAAAAOEAAAAA AAAAAAAAAADhAAAAAAAAAAAAAAAA4QAAAAAAAAAAAAAAAOSAAAAAAAAAAAAAAADhAAAAAAAA AAAAAAAA4QAAAAAAAAAAAAAAAOEAAAAAAAAAAAAAAADkeAAAAAAAAAAAAAAA4QAAAAAAAAAA AAAAAOEAAAAAAAAAAAAAAADhAAAAAAAAAAAAAAAA5AAAAAAAAAAAAAAAAN8AAAAAAAAAAAAA AAAAAQAAAwAAFiQBABoAABYkARckAQKWbAAF1hgMAQsAAAAAAAwBCwAAAAAAAAAAAAAAAAAI 1goAAzgEeA+wE44XABqrPwAArD8AAPhAAAD5QAAAVUIAAFZCAACaQgAAm0IAAM9CAADQQgAA 2kIAAOFCAADpQgAA6kIAAPBCAADxQgAA8kIAAPNCAAADQwAA/QAAAAAAAAAAAAAAAPIAAAAA AAAAAAAAAAD9AAAAAAAAAAAAAAAA8gAAAAAAAAAAAAAAAP0AAAAAAAAAAAAAAADyAAAAAAAA AAAAAAAA/QAAAAAAAAAAAAAAAP0AAAAAAAAAAAAAAAD9AAAAAAAAAAAAAAAA7wAAAAAAAAAA AAAAAO8AAAAAAAAAAAAAAADvAAAAAAAAAAAAAAAAtiQAAAAAAAAAAAAAAO8AAAAAAAAAAAAA AADvAAAAAAAAAAAAAAAA7wAAAAAAAAAAAAAAAJtMAAAAAAAAAAAAAADvAAAAAAAAAAAAAAAA ABoAABYkARckAQKWbAAF1hgMAQsAAAAAAAwBCwAAAAAAAAAAAAAAAAAI1goAAzgESA6pEscW ADgAABYkARckAQKWbAAF1hgMAQsAAAAAAAwBCwAAAAAAAAAAAAAAAAAI1kYAAzgESA6pEscW AAAAAAAAAAAAAAAABgELAAAAAAAAAAAAAAAAAAAAAAAGAQsAAAAAAAAAAAAAAAAAAAAAAAYB CwAAAAAAAwAAFiQBCwAACiYAC0YBAA+EaAENxgUAAWgBAAABAAAAEvlAAABVQgAAVkIAAJpC AACbQgAAz0IAANBCAADaQgAA4UIAAOlCAADqQgAA8EIAAPFCAADyQgAA80IAAANDAAAEQwAA BUMAAAZDAAARQwAAEkMAABNDAAAUQwAAIUMAACJDAAAjQwAAJEMAADZDAAA3QwAAOEMAADlD AABNQwAATkMAAE9DAABQQwAA9/Ts6ebj3tnU0MvGwb24s66qpaCbl5KNiIR/enVxbGdiXgAA AAAAAAAAAAAAAAAABwMBBk3q//8JAwEFCgZO6v//CQMBBQoGT+r//wkDAQUKBmPq//8HAwEG ZOr//wkDAQUKBmXq//8JAwEFCgZm6v//CQMBBQoGeOr//wcDAQZ56v//CQMBBQoGeur//wkD AQUKBnvq//8JAwEFCgaI6v//BwMBBonq//8JAwEFCgaK6v//CQMBBQoGi+r//wkDAQUKBpbq //8HAwEGl+r//wkDAQUKBpjq//8JAwEFCgaZ6v//CQMBBQoGqer//wcDAQaq6v//CQMBBQoG q+r//wkDAQUKBqzq//8JAwEFCgay6v//BwMBBrPq//8JAwEFCga76v//CQMBBQoGwur//wkD AQUKBszq//8FBs3q//8FBgHr//8FBgLr//8PBkbr//8IAQAJAQpEAAAABQZH6///Dwaj7P// CAEACQEKQwAAAAAiA0MAAARDAAAFQwAABkMAABFDAAASQwAAE0MAABRDAAAhQwAAIkMAACND AAAkQwAANkMAADdDAAA4QwAAOUMAAE1DAABOQwAAT0MAAFBDAABnQwAAaEMAAGlDAABqQwAA a0MAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA4TgAAAAAAAAAAAAAAPwAAAAAAAAAAAAA AAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAOFAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA /AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAADhVAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwA AAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA4VwAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAA AAAAAAAAAAAA/AAAAAAAAAAAAAAAAOFoAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAA AAAAAAAAAPwAAAAAAAAAAAAAAADhAAAAAAAAAAAAAAAA3wAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAABoAABYkARckAQKWbAAF1hgMAQsAAAAA AAwBCwAAAAAAAAAAAAAAAAAI1goAAzgESA6pEscWAwAAFiQBABhQQwAAZ0MAAGhDAABpQwAA akMAAGtDAAC4RAAAuUQAAOtEAADsRAAAPkUAAENFAABIRQAAT0UAAFdFAABYRQAAXkUAAF9F AABgRQAAYUUAAHRFAAB1RQAAdkUAAHdFAACCRQAAg0UAAIRFAACFRQAAkEUAAJFFAACSRQAA k0UAAJ5FAACfRQAAoEUAAKFFAAD69fDs6eHe1tPQzcjDvrq1sKunop2YlI+KhYF8d3JuaWRf WwAAAAcDAQb85///CQMBBQoG/ef//wkDAQUKBv7n//8JAwEFCgYJ6P//BwMBBgro//8JAwEF CgYL6P//CQMBBQoGDOj//wkDAQUKBhfo//8HAwEGGOj//wkDAQUKBhno//8JAwEFCgYa6P// CQMBBQoGJej//wcDAQYm6P//CQMBBQoGJ+j//wkDAQUKBijo//8JAwEFCgY76P//BwMBBjzo //8JAwEFCgY96P//CQMBBQoGPuj//wkDAQUKBkTo//8HAwEGRej//wkDAQUKBk3o//8JAwEF CgZU6P//CQMBBQoGWej//wUGXuj//wUGsOj//wUGsej//w8G4+j//wgBAAkBCkYAAAAFBuTo //8PBjHq//8IAQAJAQpFAAAABQYy6v//BwMBBjPq//8JAwEFCgY06v//CQMBBQoGNer//wkD AQUKBkzq//8AI2tDAAC4RAAAuUQAAOtEAADsRAAAPkUAAENFAABIRQAAT0UAAFdFAABYRQAA XkUAAF9FAABgRQAAYUUAAHRFAAB1RQAAdkUAAHdFAAD0AAAAAAAAAAAAAAAA8gAAAAAAAAAA AAAAAPQAAAAAAAAAAAAAAADyAAAAAAAAAAAAAAAA8gAAAAAAAAAAAAAAAPIAAAAAAAAAAAAA AADvAAAAAAAAAAAAAAAA7wAAAAAAAAAAAAAAAO8AAAAAAAAAAAAAAAC2JAAAAAAAAAAAAAAA 7wAAAAAAAAAAAAAAAO8AAAAAAAAAAAAAAADvAAAAAAAAAAAAAAAAm1gAAAAAAAAAAAAAAO8A AAAAAAAAAAAAAADvAAAAAAAAAAAAAAAA7wAAAAAAAAAAAAAAAJs4AAAAAAAAAAAAAAAAGgAA FiQBFyQBApZsAAXWGAwBCwAAAAAADAELAAAAAAAAAAAAAAAAAAjWCgADOATxDVIScBYAOAAA FiQBFyQBApZsAAXWGAwBCwAAAAAADAELAAAAAAAAAAAAAAAAAAjWRgADOATxDVIScBYAAAAA AAAAAAAAAAAGAQsAAAAAAAAAAAAAAAAAAAAAAAYBCwAAAAAAAAAAAAAAAAAAAAAABgELAAAA AAADAAAWJAEAAQAACwAACiYAC0YBAA+EaAENxgUAAWgBAAASd0UAAIJFAACDRQAAhEUAAIVF AACQRQAAkUUAAJJFAACTRQAAnkUAAJ9FAACgRQAAoUUAAK1FAACuRQAAr0UAALBFAAC7RQAA vEUAAL1FAAC+RQAAyUUAAMpFAADLRQAAzEUAAORFAADlRQAA/AAAAAAAAAAAAAAAAPwAAAAA AAAAAAAAAAD8AAAAAAAAAAAAAAAA4TgAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAA AAAAAAAA/AAAAAAAAAAAAAAAAOE4AAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAA AAAAAPwAAAAAAAAAAAAAAADhPAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAA AAD8AAAAAAAAAAAAAAAA4TgAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA /AAAAAAAAAAAAAAAAOE4AAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwA AAAAAAAAAAAAAADhbAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAAAAAAA ABoAABYkARckAQKWbAAF1hgMAQsAAAAAAAwBCwAAAAAAAAAAAAAAAAAI1goAAzgE8Q1SEnAW AwAAFiQBABqhRQAArUUAAK5FAACvRQAAsEUAALtFAAC8RQAAvUUAAL5FAADJRQAAykUAAMtF AADMRQAA5EUAAOVFAADmRQAA50UAAP5FAAD/RQAAAEYAAAFGAAAYRgAAGUYAABpGAAAbRgAA JUYAACZGAAAnRgAAKEYAADNGAAA0RgAANUYAADZGAABNRgAATkYAAPr18Ozn4t3Z1M/KxsG8 t7OuqaSgm5aRjYiDfnp1cGtnYl0AAAAAAAAAAAAAAAAJAwEFCgZP5///CQMBBQoGZuf//wcD AQZn5///CQMBBQoGaOf//wkDAQUKBmnn//8JAwEFCgZ05///BwMBBnXn//8JAwEFCgZ25/// CQMBBQoGd+f//wkDAQUKBoHn//8HAwEGguf//wkDAQUKBoPn//8JAwEFCgaE5///CQMBBQoG m+f//wcDAQac5///CQMBBQoGnef//wkDAQUKBp7n//8JAwEFCga15///BwMBBrbn//8JAwEF Cga35///CQMBBQoGuOf//wkDAQUKBtDn//8HAwEG0ef//wkDAQUKBtLn//8JAwEFCgbT5/// CQMBBQoG3uf//wcDAQbf5///CQMBBQoG4Of//wkDAQUKBuHn//8JAwEFCgbs5///BwMBBu3n //8JAwEFCgbu5///CQMBBQoG7+f//wkDAQUKBvvn//8AIuVFAADmRQAA50UAAP5FAAD/RQAA AEYAAAFGAAAYRgAAGUYAABpGAAAbRgAAJUYAACZGAAAnRgAAKEYAADNGAAA0RgAANUYAADZG AABNRgAATkYAAE9GAABQRgAAY0YAAGRGAABlRgAAZkYAAPwAAAAAAAAAAAAAAADhaAAAAAAA AAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA4WgAAAAAAAAA AAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAOE0AAAAAAAAAAAA AAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAADhOAAAAAAAAAAAAAAA /AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA4WgAAAAAAAAAAAAAAPwA AAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAOFYAAAAAAAAAAAAAAD8AAAA AAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAADhXAAAAAAAAAAAAAAAAAAAAAAa AAAWJAEXJAEClmwABdYYDAELAAAAAAAMAQsAAAAAAAAAAAAAAAAACNYKAAM4BPENUhJwFgMA ABYkAQAaTkYAAE9GAABQRgAAY0YAAGRGAABlRgAAZkYAAHpGAAB7RgAAfEYAAH1GAACRRgAA kkYAAJNGAACURgAApkYAAKdGAACoRgAAqUYAAL9GAADARgAAwUYAAMJGAADNRgAAzkYAAM9G AADQRgAA20YAANxGAADdRgAA3kYAAOlGAADqRgAA60YAAOxGAAD69vHs5+Pe2dTQy8bBvbiz rqqloJuXko2IhH96dXFsZ2JeAAAAAAAAAAAAAAAAAAAHAwEGseb//wkDAQUKBrLm//8JAwEF Cgaz5v//CQMBBQoGvub//wcDAQa/5v//CQMBBQoGwOb//wkDAQUKBsHm//8JAwEFCgbM5v// BwMBBs3m//8JAwEFCgbO5v//CQMBBQoGz+b//wkDAQUKBtrm//8HAwEG2+b//wkDAQUKBtzm //8JAwEFCgbd5v//CQMBBQoG8+b//wcDAQb05v//CQMBBQoG9eb//wkDAQUKBvbm//8JAwEF CgYI5///BwMBBgnn//8JAwEFCgYK5///CQMBBQoGC+f//wkDAQUKBh/n//8HAwEGIOf//wkD AQUKBiHn//8JAwEFCgYi5///CQMBBQoGNuf//wcDAQY35///CQMBBQoGOOf//wkDAQUKBjnn //8JAwEFCgZM5///BwMBBk3n//8JAwEFCgZO5///ACJmRgAAekYAAHtGAAB8RgAAfUYAAJFG AACSRgAAk0YAAJRGAACmRgAAp0YAAKhGAACpRgAAv0YAAMBGAADBRgAAwkYAAM1GAADORgAA z0YAANBGAADbRgAA3EYAAN1GAADeRgAA6UYAAOpGAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAA AAAAAPwAAAAAAAAAAAAAAADhXAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAA AAD8AAAAAAAAAAAAAAAA4VQAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA /AAAAAAAAAAAAAAAAOFkAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwA AAAAAAAAAAAAAADhOAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAA AAAAAAAAAAAA4TgAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAA AAAAAAAAAOE4AAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAAAAAAAAGgAA FiQBFyQBApZsAAXWGAwBCwAAAAAADAELAAAAAAAAAAAAAAAAAAjWCgADOATxDVIScBYDAAAW JAEAGupGAADrRgAA7EYAAPdGAAD4RgAA+UYAAPpGAAASRwAAE0cAABRHAAAVRwAALEcAAC1H AAAuRwAAL0cAAEdHAABIRwAASUcAAEpHAABjRwAAZEcAAGVHAABmRwAAfUcAAH5HAAB/RwAA gEcAAPwAAAAAAAAAAAAAAADhOAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAA AAD8AAAAAAAAAAAAAAAA4WwAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA /AAAAAAAAAAAAAAAAOFoAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwA AAAAAAAAAAAAAADhbAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAA AAAAAAAAAAAA4XAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAA AAAAAAAAAOFoAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAA AAAAAADhaAAAAAAAAAAAAAAAAAAAAAAaAAAWJAEXJAEClmwABdYYDAELAAAAAAAMAQsAAAAA AAAAAAAAAAAACNYKAAM4BPENUhJwFgMAABYkAQAa7EYAAPdGAAD4RgAA+UYAAPpGAAASRwAA E0cAABRHAAAVRwAALEcAAC1HAAAuRwAAL0cAAEdHAABIRwAASUcAAEpHAABjRwAAZEcAAGVH AABmRwAAfUcAAH5HAAB/RwAAgEcAAJdHAACYRwAAmUcAAJpHAAClRwAApkcAAKdHAACoRwAA v0cAAMBHAAD69fDs5+Ld2dTPysbBvLezrqmkoJuWkY2Ig356dXBrZ2JdAAAAAAAAAAAAAAAA CQMBBQoG3eX//wkDAQUKBvTl//8HAwEG9eX//wkDAQUKBvbl//8JAwEFCgb35f//CQMBBQoG Aub//wcDAQYD5v//CQMBBQoGBOb//wkDAQUKBgXm//8JAwEFCgYc5v//BwMBBh3m//8JAwEF CgYe5v//CQMBBQoGH+b//wkDAQUKBjbm//8HAwEGN+b//wkDAQUKBjjm//8JAwEFCgY55v// CQMBBQoGUub//wcDAQZT5v//CQMBBQoGVOb//wkDAQUKBlXm//8JAwEFCgZt5v//BwMBBm7m //8JAwEFCgZv5v//CQMBBQoGcOb//wkDAQUKBofm//8HAwEGiOb//wkDAQUKBonm//8JAwEF CgaK5v//CQMBBQoGoub//wcDAQaj5v//CQMBBQoGpOb//wkDAQUKBqXm//8JAwEFCgaw5v// ACKARwAAl0cAAJhHAACZRwAAmkcAAKVHAACmRwAAp0cAAKhHAAC/RwAAwEcAAMFHAADCRwAA GkgAABtIAABTSQAAVEkAAGRKAABlSgAAVEwAAFVMAABsTAAAbUwAAOVNAAD3TgAA/AAAAAAA AAAAAAAAAPwAAAAAAAAAAAAAAAD8AAAAAAAAAAAAAAAA4TgAAAAAAAAAAAAAAPwAAAAAAAAA AAAAAAD8AAAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAOFoAAAAAAAAAAAAAAD8AAAAAAAAAAAA AAAA/AAAAAAAAAAAAAAAAPwAAAAAAAAAAAAAAADhAAAAAAAAAAAAAAAA3wAAAAAAAAAAAAAA AN8AAAAAAAAAAAAAAADfAAAAAAAAAAAAAAAA3wAAAAAAAAAAAAAAANQAAAAAAAAAAAAAAADf AAAAAAAAAAAAAAAA1AAAAAAAAAAAAAAAAN8AAAAAAAAAAAAAAADSAAAAAAAAAAAAAAAA3wAA AAAAAAAAAAAAANQAAAAAAAAAAAAAAADUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQUACwAACiYA C0YBAA+EaAENxgUAAWgBAAABAAAAGgAAFiQBFyQBApZsAAXWGAwBCwAAAAAADAELAAAAAAAA AAAAAAAAAAjWCgADOATxDVIScBYDAAAWJAEAGMBHAADBRwAAwkcAABpIAAAbSAAAU0kAAFRJ AABkSgAAZUoAAFRMAABVTAAAbEwAAG1MAADlTQAA904AAGtQAABsUAAAbVAAAHxQAAB9UAAA rVAAAK5QAABvVQAAcFUAAJNVAACUVQAAI1gAACRYAABKWgAAXFoAAF1aAAAcWwAAHVsAAOdb AADoWwAA+FwAAPlcAACFXQAA110AABZeAAB1XgAAtV4AAGpfAADUXwAACWAAAIFgAABmYQAA Z2EAAPthAAD9YQAA+WIAAPtiAAAnYwAAKGMAAFBkAABRZAAArmQAAK9kAAAGZQAAB2UAAAhl AAAPZQAAI2UAACRlAAD69vPwAO3lAN8A3NnRycG+u7i1r6ypALgAAAAAAACmAKYApgCmpqam pqampqamAKYApgAAAAAApgAAAACjo6EAAAACAwEABAMBBQoABQgDAAkBBQb4////BQb5//// CgIEAAUDBhkAAAAABQYaAAAABQIDAAUCBQYS/P//BQYT/P//DwaH/f//CAEACQEKSwAAAA8G mf7//wgBAAkBCkoAAAAPBhEAAAAIAQAJAQpJAAAABQYSAAAABQIFAAUECggBAAkBCkgAAAAA DwZI5P//CAEACQEKRwAAAAUGSeT//wUGguX//wUG2uX//wcDAQbb5f//CQMBBQoG3OX//wA/ QFAAAGVQAABqUAAAa1AAAG1QAAB8UAAAfVAAAK1QAACuUAAA5FAAAAZRAAAzVQAAQVUAAHBV AACTVQAAS1cAAFlXAABLWgAAXVoAABxbAAAdWwAA11sAAOZbAADnWwAA6FsAAGlcAAB3XAAA hV0AAJddAAAFXgAAE14AAFReAAByXgAAol4AAK9eAABeXwAAZ18AAGpfAACAXwAA9F8AAANg AABwYAAAfmAAAIFgAACPYAAAIWIAADViAAD7YgAAJ2MAACFmAABMZgAAfGgAAJJoAAASagAA E2oAACVsAAA8bAAAPWwAAEFsAABCbAAAd2wAAHhsAABqbgAAa24AAMRuAADFbgAA7G4AAO1u AAALbwAANHAAAExwAAAddAAANHQAADV0AAA5dAAAOnQAALR1AAC1dQAA3HUAAN11AAD8dQAA 13YAAO92AABVfQAAVn0AAFh9AABjfQAAZH0AAP369vIA8vrv+un66foA+vL66frp+un66frp +vL68vry+vL68vry+vL68vry+vL66frp+un65fri3uLe4t7i3ADcANwA+un64t7i3uLcANwA +un6APoA8gADSCoBB0NKFgBIKgEEQ0oWAAAHQ0oYAEgqAQo1CIE+KgFDShgAAARDShwAAAc1 CIFDShgAB0IqAUNKGAAEQ0oYAAAEMEoUAFf3TgAAa1AAAGxQAABtUAAAfFAAAH1QAACtUAAA rlAAAG9VAABwVQAAk1UAAJRVAAAjWAAAJFgAAEpaAABcWgAAXVoAABxbAAAdWwAA51sAAOhb AAD4XAAA+VwAAIVdAADXXQAA9AAAAAAAAAAAAAAAAPIAAAAAAAAAAAAAAADyAAAAAAAAAAAA AAAA8AAAAAAAAAAAAAAAAPIAAAAAAAAAAAAAAADuAAAAAAAAAAAAAAAA8gAAAAAAAAAAAAAA APIAAAAAAAAAAAAAAADyAAAAAAAAAAAAAAAA8AAAAAAAAAAAAAAAAPIAAAAAAAAAAAAAAADy AAAAAAAAAAAAAAAA8gAAAAAAAAAAAAAAAPIAAAAAAAAAAAAAAADyAAAAAAAAAAAAAAAA8gAA AAAAAAAAAAAAAOUAAAAAAAAAAAAAAADyAAAAAAAAAAAAAAAA5QAAAAAAAAAAAAAAAPIAAAAA AAAAAAAAAADlAAAAAAAAAAAAAAAA8gAAAAAAAAAAAAAAAOUAAAAAAAAAAAAAAADaAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAACiYAC0YDAA+E0AINxgUAAdACAAkA AAomAAtGAwANxgUAAWgBAAABBAAAAQMAAAEAAAsAAAomAAtGAQAPhGgBDcYFAAFoAQAAGNdd AAAWXgAAdV4AALVeAABqXwAA1F8AAAlgAACBYAAAZmEAAGdhAAD7YQAA/WEAAPliAAD7YgAA J2MAAChjAABQZAAAUWQAAK5kAACvZAAABmUAAAdlAAAIZQAAD2UAACNlAAD0AAAAAAAAAAAA AAAA9AAAAAAAAAAAAAAAAPQAAAAAAAAAAAAAAAD0AAAAAAAAAAAAAAAA6QAAAAAAAAAAAAAA APQAAAAAAAAAAAAAAAD0AAAAAAAAAAAAAAAA6QAAAAAAAAAAAAAAAOcAAAAAAAAAAAAAAADe AAAAAAAAAAAAAAAA5wAAAAAAAAAAAAAAAN4AAAAAAAAAAAAAAADnAAAAAAAAAAAAAAAA5wAA AAAAAAAAAAAAAOcAAAAAAAAAAAAAAADnAAAAAAAAAAAAAAAA5wAAAAAAAAAAAAAAAN4AAAAA AAAAAAAAAADnAAAAAAAAAAAAAAAA5wAAAAAAAAAAAAAAAOcAAAAAAAAAAAAAAADnAAAAAAAA AAAAAAAA2wAAAAAAAAAAAAAAANsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAMAABYkAQkAAAomAAtGAwANxgUAAWgBAAABAAALAAAKJgALRgMAD4TQAg3GBQAB0AIA CwAACiYAC0YDAA+EOAQNxgUAATgEAAAYI2UAACRlAAAlZQAAK2UAADFlAAAyZQAARGUAAEVl AABGZQAAR2UAAFtlAABdZQAAXmUAAF9lAACDZQAAhWUAAIZlAACHZQAA2zgAAAAAAAAAAAAA ANgAAAAAAAAAAAAAAADTAAAAAAAAAAAAAAAA0wAAAAAAAAAAAAAAAKRUAAAAAAAAAAAAAADY AAAAAAAAAAAAAAAA2AAAAAAAAAAAAAAAANgAAAAAAAAAAAAAAACXYAAAAAAAAAAAAAAA2AAA AAAAAAAAAAAAANMAAAAAAAAAAAAAAADTAAAAAAAAAAAAAAAAl6AAAAAAAAAAAAAAANgAAAAA AAAAAAAAAADTAAAAAAAAAAAAAAAA0wAAAAAAAAAAAAAAAJdcAAAAAAAAAAAAAAAAAAAAAAAA AAANAAAWJAEXJAEClmwACNYKAAM4BEgSgBYSGwAuAAAWJAEXJAEClmwAB5QdAQM0AQjWRgAD OARIEoAWEhsAAAAAAAAAAAAAAAAGAQAAAAAAAAAAAAAAAAAAAAAAAAYBAAAAAAAAAAAAAAAA AAAAAAAABgEAAAAAAAAABAAAAyQBFiQBAwAAFiQBACMAABYkARckAQKWbAAHlB0BAzQBCNYw AAI4BEgSEhsAAAAADAEAAAAAAAAAAAAAAAAAAAAAAAAMAQAAAAAAAAAAAAAAAAAAABEkZQAA JWUAACtlAAAxZQAAMmUAAERlAABFZQAARmUAAEdlAABbZQAAXWUAAF5lAABfZQAAg2UAAIVl AACGZQAAh2UAAJplAACbZQAAnWUAAJ5lAACtZQAAr2UAALBlAACxZQAAyGUAAMllAADKZQAA y2UAAOBlAADkZQAA6GUAAOllAAD9ZQAAAWYAAAVmAAAGZgAAGWYAABtmAAAdZgAAHmYAAB9m AAAgZgAATGYAAE1mAACKZgAAp2YAAAlnAAAKZwAAfGgAAH1oAACSaAAAk2gAAJRqAACVagAA aWsAAGprAACzawAAtGsAACRsAAAlbAAALGwAADJsAAA4bAAAPmwAAENsAABJbAAAT2wAAGBs AABhbAAAeWwAAH5sAACCbAAAhmwAAIpsAACObAAAlGwAAJVsAACWbAAAqWwAAK5sAACybAAA tmwAALpsAAC+bAAAxGwAAMtsAADMbAAA3mwAAN9sAADgbAAA4WwAAOJsAADjbAAA5GwAAOVs AADmbAAA+mwAAP39/fv9/f37/f39+/39/fv9/f37/f39+/39/fv9/f37/f39+/39/fsAAAAA +Pj49vgAAAD4AAAA+AAAAP39/f39/f39+/39/f39/f39+/39/f39/f39+/39/f39/f39+/0A AAACBwwABQgDAAkBAgMBAAQDAQUKYYdlAACaZQAAm2UAAJ1lAACeZQAArWUAAK9lAACwZQAA sWUAAMhlAADJZQAAymUAAMtlAADgZQAA5GUAAOhlAADpZQAA/WUAAAFmAAAFZgAABmYAABlm AAAbZgAAHWYAAPwAAAAAAAAAAAAAAAD3AAAAAAAAAAAAAAAA9wAAAAAAAAAAAAAAAOpMAAAA AAAAAAAAAAD8AAAAAAAAAAAAAAAA9wAAAAAAAAAAAAAAAPcAAAAAAAAAAAAAAADqaAAAAAAA AAAAAAAA/AAAAAAAAAAAAAAAAPcAAAAAAAAAAAAAAAD3AAAAAAAAAAAAAAAA6ngAAAAAAAAA AAAAAPwAAAAAAAAAAAAAAAD3AAAAAAAAAAAAAAAA9wAAAAAAAAAAAAAAAOp0AAAAAAAAAAAA AAD8AAAAAAAAAAAAAAAA9wAAAAAAAAAAAAAAAPcAAAAAAAAAAAAAAADqYAAAAAAAAAAAAAAA /AAAAAAAAAAAAAAAAPcAAAAAAAAAAAAAAAD3AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAA0AABYkARckAQKWbAAI1goAAzgESBKAFhIbAAQAAAMkARYkAQMAABYkAQAXHWYAAB5m AAAfZgAAIGYAAExmAABNZgAAimYAAKdmAAAJZwAACmcAAHxoAAB9aAAAkmgAAJNoAACUagAA lWoAAGlrAABqawAAs2sAALRrAAAkbAAAJWwAANQAAAAAAAAAAAAAAADSAAAAAAAAAAAAAAAA 0gAAAAAAAAAAAAAAANIAAAAAAAAAAAAAAADSAAAAAAAAAAAAAAAAyQAAAAAAAAAAAAAAAL4A AAAAAAAAAAAAAAC+AAAAAAAAAAAAAAAAuQAAAAAAAAAAAAAAAMkAAAAAAAAAAAAAAADSAAAA AAAAAAAAAAAA0gAAAAAAAAAAAAAAANIAAAAAAAAAAAAAAADJAAAAAAAAAAAAAAAA0gAAAAAA AAAAAAAAANIAAAAAAAAAAAAAAADSAAAAAAAAAAAAAAAAyQAAAAAAAAAAAAAAANIAAAAAAAAA AAAAAADSAAAAAAAAAAAAAAAA0gAAAAAAAAAAAAAAAAAAAAAAAAAAAAUAAAomDAtGAAALAAAK JgALRgMAD4TQAg3GBQAB0AIACQAACiYAC0YDAA3GBQABaAEAAAEAACsAABYkARckAQKWbAAI 1kYAAzgESBKAFhIbAAAAAAAAAAAAAAAADAEAAAAAAAAAAAAAAAAAAAAAAAAMAQAAAAAAAAAA AAAAAAAAAAAAAAwBAAAAAAAAABUlbAAALGwAADJsAAA4bAAAPmwAAENsAABJbAAAT2wAAGBs AABhbAAAeWwAAH5sAACCbAAAhmwAAIpsAACObAAA/AAAAAAAAAAAAAAAAPcAAAAAAAAAAAAA AAD3AAAAAAAAAAAAAAAA9wAAAAAAAAAAAAAAAPcAAAAAAAAAAAAAAAD3AAAAAAAAAAAAAAAA 9wAAAAAAAAAAAAAAAPcAAAAAAAAAAAAAAACG1AAAAAAAAAAAAAAA/AAAAAAAAAAAAAAAAPcA AAAAAAAAAAAAAAD3AAAAAAAAAAAAAAAA9wAAAAAAAAAAAAAAAPcAAAAAAAAAAAAAAAD3AAAA AAAAAAAAAAAAAAAAAAAAAAAAcQAAFiQBFyQBApZsAAM0AQXWGAwBCwAAAAAADAELAAAAAAAA AAAAAAAAAAjWtAAI8v5YCJ4L5A4qEhMV/BcxGywiAAAAAAAAAAAAAAAABgELAAAAAAAAAAAA AAAAAAAAAAAGAQsAAAAAAAAAAAAAAAAAAAAAAAYBCwAAAAAAAAAAAAAAAAAAAAAABgELAAAA AAAAAAAAAAAAAAAAAAAGAQsAAAAAAAAAAAAAAAAAAAAAAAYBCwAAAAAAAAAAAAAAAAAAAAAA BgELAAAAAAAAAAAAAAAAAAAAAAAGAQsAAAAAAAAEAAADJAEWJAEDAAAWJAEAD45sAACUbAAA lWwAAJZsAACpbAAArmwAALJsAAC2bAAAumwAAL5sAADEbAAAy2wAAMxsAADebAAA32wAAOBs AADhbAAA4mwAAONsAADkbAAA5WwAAOZsAAD6bAAA/2wAAANtAAD6AAAAAAAAAAAAAAAA+gAA AAAAAAAAAAAAANnYAAAAAAAAAAAAAADWAAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoAAAAA AAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAAD6AAAAAAAA AAAAAAAA+gAAAAAAAAAAAAAAANloAAAAAAAAAAAAAADWAAAAAAAAAAAAAAAA+gAAAAAAAAAA AAAAAPoAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAA AAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAANncAAAAAAAAAAAAAADWAAAAAAAAAAAAAAAA +gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwAAFiQBIQAAFiQB FyQBApZsAAM0AQXWGAwBCwAAAAAADAELAAAAAAAAAAAAAAAAAAjWFAAI8v5YCJ4L5A4qEhMV /BcxGywiAAQAAAMkARYkAQAY+mwAAP9sAAADbQAAB20AAAttAAAPbQAAFW0AABxtAAAdbQAA N20AAFFtAABWbQAAWm0AAF5tAABibQAAZm0AAGxtAABzbQAAdG0AAIdtAACMbQAAkG0AAJRt AACYbQAAnG0AAKJtAACpbQAAqm0AALltAAC+bQAAwm0AAMZtAADKbQAAzm0AANRtAADbbQAA 3G0AAPNtAAD0bQAA9W0AAPZtAAD3bQAA+G0AAPltAAD6bQAA+20AABBuAAAVbgAAGW4AAB1u AAAhbgAAJW4AACtuAAAybgAAM24AAEduAABMbgAAUG4AAFRuAABYbgAAXG4AAGJuAABpbgAA am4AAMRuAAALbwAADG8AAA1vAAAzcAAANHAAAExwAABNcAAAkHEAAJFxAAD3cgAA+HIAAEBz AABBcwAAoHMAAKFzAAAcdAAAHXQAACR0AAAqdAAAMHQAADZ0AAA7dAAAQXQAAEd0AABIdAAA WnQAAFt0AABcdAAAXXQAAF50AABfdAAAYHQAAGF0AAB1dAAA/f39/f39/fv9/f39/f39/f37 /f39/f39/f37/f39/f39/f37/f39/f39/f37/f39/f39/f37/f39/f39/f37AAAAAPgAAAD4 APgAAAD4AAAA/f39/f39/fv9/f39/f39+/0AAAUIAwAJAQIDAQAEAwEFCmIDbQAAB20AAAtt AAAPbQAAFW0AABxtAAAdbQAAN20AAFFtAABWbQAAWm0AAF5tAABibQAAZm0AAGxtAABzbQAA dG0AAIdtAACMbQAAkG0AAJRtAACYbQAAnG0AAKJtAACpbQAA+gAAAAAAAAAAAAAAAPoAAAAA AAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAADZXAEAAAAA AAAAAAAA1gAAAAAAAAAAAAAAANYAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAA AAAAAPoAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAA AAD6AAAAAAAAAAAAAAAA2dgAAAAAAAAAAAAAANYAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA +gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoA AAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMAABYkASEAABYkARck AQKWbAADNAEF1hgMAQsAAAAAAAwBCwAAAAAAAAAAAAAAAAAI1hQACPL+WAieC+QOKhITFfwX MRssIgAEAAADJAEWJAEAGKltAACqbQAAuW0AAL5tAADCbQAAxm0AAMptAADObQAA1G0AANtt AADcbQAA820AAPRtAAD1bQAA9m0AAPdtAAD4bQAA+W0AAPptAAD7bQAAEG4AABVuAAAZbgAA HW4AACFuAADeyAAAAAAAAAAAAAAA2wAAAAAAAAAAAAAAANYAAAAAAAAAAAAAAADWAAAAAAAA AAAAAAAA1gAAAAAAAAAAAAAAANYAAAAAAAAAAAAAAADWAAAAAAAAAAAAAAAA1gAAAAAAAAAA AAAAANYAAAAAAAAAAAAAAADefAAAAAAAAAAAAAAA2wAAAAAAAAAAAAAAANYAAAAAAAAAAAAA AADWAAAAAAAAAAAAAAAA1gAAAAAAAAAAAAAAANYAAAAAAAAAAAAAAADWAAAAAAAAAAAAAAAA 1gAAAAAAAAAAAAAAANYAAAAAAAAAAAAAAADe4AAAAAAAAAAAAAAA2wAAAAAAAAAAAAAAANYA AAAAAAAAAAAAAADWAAAAAAAAAAAAAAAA1gAAAAAAAAAAAAAAANYAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAQAAAMkARYkAQMAABYkASEAABYkARckAQKWbAADNAEF1hgMAQsAAAAA AAwBCwAAAAAAAAAAAAAAAAAI1hQACPL+WAieC+QOKhITFfwXMRssIgAYIW4AACVuAAArbgAA Mm4AADNuAABHbgAATG4AAFBuAABUbgAAWG4AAFxuAABibgAAaW4AAGpuAADEbgAAC28AAAxv AAANbwAAM3AAADRwAABMcAAATXAAAJBxAACRcQAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAA AAD6AAAAAAAAAAAAAAAA2dwAAAAAAAAAAAAAANYAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA +gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoA AAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA2QAAAAAAAAAAAAAAANQAAAAAAAAAAAAAAADUAAAA AAAAAAAAAAAA1AAAAAAAAAAAAAAAANQAAAAAAAAAAAAAAADLAAAAAAAAAAAAAAAA1AAAAAAA AAAAAAAAANQAAAAAAAAAAAAAAADUAAAAAAAAAAAAAAAAywAAAAAAAAAAAAAAANQAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAkAAAomAAtGAwANxgUAAWgBAAABAAADAAAWJAEhAAAWJAEXJAEC lmwAAzQBBdYYDAELAAAAAAAMAQsAAAAAAAAAAAAAAAAACNYUAAjy/lgIngvkDioSExX8FzEb LCIABAAAAyQBFiQBABeRcQAA93IAAPhyAABAcwAAQXMAAKBzAAChcwAAHHQAAB10AAAkdAAA KnQAADB0AAA2dAAAO3QAAEF0AABHdAAA9gAAAAAAAAAAAAAAAPQAAAAAAAAAAAAAAAD0AAAA AAAAAAAAAAAA9AAAAAAAAAAAAAAAAPYAAAAAAAAAAAAAAAD0AAAAAAAAAAAAAAAA9AAAAAAA AAAAAAAAAPQAAAAAAAAAAAAAAADxAAAAAAAAAAAAAAAA7AAAAAAAAAAAAAAAAOwAAAAAAAAA AAAAAADsAAAAAAAAAAAAAAAA7AAAAAAAAAAAAAAAAOwAAAAAAAAAAAAAAADsAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAQAAAMkARYkAQMAABYkAQABAAAJAAAKJgALRgMADcYFAAFoAQAAD0d0AABIdAAAWnQAAFt0 AABcdAAAXXQAAF50AABfdAAAYHQAAGF0AAB1dAAAeXQAAH10AACCdAAAmWQAAAAAAAAAAAAA AJYAAAAAAAAAAAAAAACRAAAAAAAAAAAAAAAAkQAAAAAAAAAAAAAAAJEAAAAAAAAAAAAAAACR AAAAAAAAAAAAAAAAkQAAAAAAAAAAAAAAAJEAAAAAAAAAAAAAAABxvAAAAAAAAAAAAAAAlgAA AAAAAAAAAAAAAJEAAAAAAAAAAAAAAACRAAAAAAAAAAAAAAAAkQAAAAAAAAAAAAAAAAAgAAAW JAEXJAEClmwAAzQBBdYYDAELAAAAAAAMAQsAAAAAAAAAAAAAAAAACNYSAAdaANgJAg0sELAT gBYEGogdAAQAAAMkARYkAQMAABYkAWYAABYkARckAQKWbAADNAEF1hgMAQsAAAAAAAwBCwAA AAAAAAAAAAAAAAAI1p4AB1oA2AkCDSwQsBOAFgQaiB0AAAAAAAAAAAAAAAAGAQsAAAAAAAAA AAAAAAAAAAAAAAYBCwAAAAAAAAAAAAAAAAAAAAAABgELAAAAAAAAAAAAAAAAAAAAAAAGAQsA AAAAAAAAAAAAAAAAAAAAAAYBCwAAAAAAAAAAAAAAAAAAAAAABgELAAAAAAAAAAAAAAAAAAAA AAAGAQsAAAAAAAANdXQAAHl0AAB9dAAAgnQAAIZ0AACLdAAAj3QAAJB0AACqdAAAxHQAAMh0 AADMdAAA0XQAANV0AADadAAA3nQAAN90AADydAAA9nQAAPp0AAD/dAAAA3UAAAh1AAAMdQAA DXUAABx1AAAgdQAAJHUAACl1AAAtdQAAMnUAADZ1AAA3dQAATnUAAE91AABQdQAAUXUAAFJ1 AABTdQAAVHUAAFV1AABqdQAAbnUAAHJ1AAB3dQAAe3UAAIB1AACEdQAAhXUAAJl1AACddQAA oXUAAKZ1AACqdQAAr3UAALN1AAC0dQAA+3UAAPx1AADVdgAA13YAAO92AADwdgAA9HcAAPV3 AAAWegAAF3oAABB7AAARewAAgXsAAIJ7AABVfQAAVn0AAFd9AABYfQAAY30AAGR9AAADfgAA hH4AAIV+AACmfwAAsH8AALF/AADyfwAA838AAPR/AAD1fwAA/f39/f39+/39/f39/f39+/39 /f39/f37/f39/f39/fv9/f39/f39+/39/f39/f37/f39/f39/fsAAPgAAAD49vgA+AD4APgA AADzAAAAAADx7+3v7wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AwIQAAIBAQADAhIABQICAAUBAgcMAAUIAwAJAQIDAQAEAwEFClaCdAAAhnQAAIt0AACPdAAA kHQAAKp0AADEdAAAyHQAAMx0AADRdAAA1XQAANp0AADedAAA33QAAPJ0AAD2dAAA+nQAAP90 AAADdQAACHUAAAx1AAANdQAAHHUAACB1AAAkdQAAKXUAAPoAAAAAAAAAAAAAAAD6AAAAAAAA AAAAAAAA+gAAAAAAAAAAAAAAANo8AQAAAAAAAAAAAADXAAAAAAAAAAAAAAAA1wAAAAAAAAAA AAAAAPoAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAA AAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAANq4AAAAAAAAAAAAAADXAAAAAAAAAAAAAAAA +gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoA AAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA2qgAAAAAAAAAAAAAANcAAAAAAAAAAAAAAAD6AAAA AAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAAAAAwAAFiQBIAAAFiQBFyQBApZs AAM0AQXWGAwBCwAAAAAADAELAAAAAAAAAAAAAAAAAAjWEgAHWgDYCQINLBCwE4AWBBqIHQAE AAADJAEWJAEAGSl1AAAtdQAAMnUAADZ1AAA3dQAATnUAAE91AABQdQAAUXUAAFJ1AABTdQAA VHUAAFV1AABqdQAAbnUAAHJ1AAB3dQAAe3UAAIB1AACEdQAAhXUAAJl1AACddQAAoXUAAKZ1 AACqdQAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA2ngAAAAAAAAA AAAAANcAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAA AAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAADawAAAAAAAAAAAAAAA 1wAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoA AAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAAAAAAAAAAANq8AAAAAAAAAAAAAADXAAAA AAAAAAAAAAAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAAD6AAAAAAAAAAAAAAAA+gAAAAAA AAAAAAAAAAADAAAWJAEgAAAWJAEXJAEClmwAAzQBBdYYDAELAAAAAAAMAQsAAAAAAAAAAAAA AAAACNYSAAdaANgJAg0sELATgBYEGogdAAQAAAMkARYkAQAZqnUAAK91AACzdQAAtHUAAPt1 AAD8dQAA1XYAANd2AADvdgAA8HYAAPR3AAD1dwAAFnoAABd6AAAQewAAEXsAAIF7AACCewAA VX0AAFZ9AABXfQAAWH0AAGN9AABkfQAA+gAAAAAAAAAAAAAAAPoAAAAAAAAAAAAAAADaAAAA AAAAAAAAAAAA2AAAAAAAAAAAAAAAANgAAAAAAAAAAAAAAADPAAAAAAAAAAAAAAAA2AAAAAAA AAAAAAAAANgAAAAAAAAAAAAAAADYAAAAAAAAAAAAAAAAzwAAAAAAAAAAAAAAAMoAAAAAAAAA AAAAAADPAAAAAAAAAAAAAAAA2AAAAAAAAAAAAAAAAM8AAAAAAAAAAAAAAADYAAAAAAAAAAAA AAAAzwAAAAAAAAAAAAAAANgAAAAAAAAAAAAAAADPAAAAAAAAAAAAAAAA2AAAAAAAAAAAAAAA ANgAAAAAAAAAAAAAAADYAAAAAAAAAAAAAAAAyAAAAAAAAAAAAAAAANgAAAAAAAAAAAAAAAAA AAAAAAABAgAFAAAKJgwLRgAACQAACiYAC0YDAA3GBQABaAEAAAEAACAAABYkARckAQKWbAAD NAEF1hgMAQsAAAAAAAwBCwAAAAAAAAAAAAAAAAAI1hIAB1oA2AkCDSwQsBOAFgQaiB0ABAAA AyQBFiQBABdkfQAAA34AAIR+AACFfgAApn8AALB/AACxfwAA8n8AAPN/AAD0fwAA9X8AAP0A AAAAAAAAAAAAAAD9AAAAAAAAAAAAAAAA/QAAAAAAAAAAAAAAAP0AAAAAAAAAAAAAAAD6AAAA AAAAAAAAAAAA/QAAAAAAAAAAAAAAAPgAAAAAAAAAAAAAAAD9AAAAAAAAAAAAAAAA/QAAAAAA AAAAAAAAAP0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAEQAAMSAAMkAQABAAAACmR9AAADfgAAhH4AAEh/AACmfwAA sH8AALF/AADFfwAAxn8AANp/AADbfwAA438AAOR/AADlfwAA5n8AAOx/AADtfwAA738AAPB/ AADxfwAA8n8AAPV/AAD9AP0A+QD17PXs5uz129XbzdvV9QAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAADzBKEQA2CIFDShIAbUgABAswShEANgiBQ0oSABQDagAAAAAwShEANgiB Q0oSAFUIAQALNgiBQ0oSAG1IAAQQA2oAAAAANgiBQ0oSAFUIAQAHNgiBQ0oSAAc1CIFDSiAA BENKGAAVIwAUMAocUAEAH7DQLyCw4D0hsKAFIrCgBSOQoAUkkKAFJbAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAASABUACgABAFsADwACAAAAAAAAACQA AEDx/wIAJAAAAAYATgBvAHIAbQBhAGwAAAACAAAABABtSAkENAABQAEAAgA0AAAACQBIAGUA YQBkAGkAbgBnACAAMQAAAAgAAQADJAMGJAEHADUIgUNKGAAAMgACQAEAAgAyAAAACQBIAGUA YQBkAGkAbgBnACAAMgAAAAUAAgAGJAEABwA1CIFDShgAADQAA0ABAAIANAAAAAkASABlAGEA ZABpAG4AZwAgADMAAAAFAAMABiQBAAoANQiBPioBQ0oYADQABEABAAIANAAAAAkASABlAGEA ZABpAG4AZwAgADQAAAAFAAQABiQBAAoANQiBPioBQ0ocADgABUABAAIAOAAAAAkASABlAGEA ZABpAG4AZwAgADUAAAAFAAUABiQBAA0ANQiBPioBQioBQ0oYAAA6AAZAAQACADoAAAAJAEgA ZQBhAGQAaQBuAGcAIAA2AAAADAAGAAYkAQ+E0AJAJgUKADUIgT4qAUNKGAAAAAAAAAA8AEFA 8v+hADwAAAAWAEQAZQBmAGEAdQBsAHQAIABQAGEAcgBhAGcAcgBhAHAAaAAgAEYAbwBuAHQA AAAAAAAAAAAAAAAALgBCQAEA8gAuAAAACQBCAG8AZAB5ACAAVABlAHgAdAAAAAUADwADJAMA BABDShgALAAgQAEAAgEsAAAABgBGAG8AbwB0AGUAcgAAAA0AEAANxggAAuAQwCEBAgAAACYA KUCiABEBJgAAAAsAUABhAGcAZQAgAE4AdQBtAGIAZQByAAAAAAAsAB9AAQAiASwAAAAGAEgA ZQBhAGQAZQByAAAADQASAA3GCAAC4BDAIQECAAAALgBKQAEAMgEuAAAACABTAHUAYgB0AGkA dABsAGUAAAACABMACgA1CIE+KgFDShgAKABVQKIAQQEoAAAACQBIAHkAcABlAHIAbABpAG4A awAAAAYAPioBQioCAAAAAPV7AAAFAAAAAQAEAP////8RAAAABCD//wEAAAAAAAAg//8CAAAA AAAEIP//AwAAAAAAACD//wQAAAAAAAQg//8FAAAAAAAAIP//BgAAAAAABCD//wcAAAAAAAAg //8IAAAAAAAEIP//CQAAAAAAACD//woAAAAAAAQg//8LAAAAAAAAIP//DAAAAAAABCD//w0A AAAAAAAg//8OAAAAAAAEIP//DwAAAAAAACD//xAAAAAAAAQg//8RAAAAAAAAAAAAPwoAAHEW AAC4IQAApSYAALEpAAC1MQAANzgAAFc+AAC6QAAAHEQAAOZPAABLVgAA+l4AACFiAAANawAA 1nIAAPV7AAAAAAEAAAABALwAAAACAKMAAAADAAEAAAAEAB0AAAAFAAEAAAAGALUAAAAHAEMA AAAIADEAAAAJADcBAAAKAIkBAAALABEAAAAMAAEAAAANACsAAAAOACYBAAAPAAEAAAAQAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAsAAAALAAAATQAAAE0AAABNAAAA UAAAAAAEAABxLAAAQFAAAGR9AAD1fwAAQQAAAEkAAABrAAAAfwAAAAAEAACPEgAAwB4AAA8r AACNLQAAJjMAAOkzAABZNAAAqzYAAC43AACzNwAAQj0AAJU9AAAiPgAArD4AAKs/AAADQwAA a0MAAHdFAADlRQAAZkYAAOpGAACARwAA904AANddAAAjZQAAh2UAAB1mAAAlbAAAjmwAAANt AACpbQAAIW4AAJFxAABHdAAAgnQAACl1AACqdQAAZH0AAPV/AABCAAAARAAAAEYAAABIAAAA SwAAAE0AAABOAAAAUAAAAFEAAABTAAAAVQAAAFcAAABYAAAAWgAAAFwAAABdAAAAXwAAAGEA AABiAAAAZAAAAGYAAABnAAAAaQAAAGwAAABtAAAAbgAAAHAAAABxAAAAcgAAAHMAAAB1AAAA dgAAAHcAAAB4AAAAeQAAAHsAAAB8AAAAfQAAAH4AAAAABAAAmxgAAFsmAADxLAAAmjEAABQ0 AAC4NgAAYzcAADY8AADZPQAAjj4AAPlAAABQQwAAoUUAAE5GAADsRgAAwEcAACRlAAD6bAAA dXQAAPV/AABDAAAARQAAAEcAAABKAAAATAAAAE8AAABSAAAAVAAAAFYAAABZAAAAWwAAAF4A AABgAAAAYwAAAGUAAABoAAAAagAAAG8AAAB0AAAAegAAAB8AAAA0AAAAPQAAAD8AAABGAAAA SQAAAFAAAAATH5T/lYATIZT/lYAPAADwOAAAAAAABvAYAAAAAggAAAIAAAALAAAAAQAAAAEA AAAMAAAAQAAe8RAAAAD//wAAAAD/AICAgAD3AAAQAA8AAvD+AgAAEAAI8AgAAAALAAAACwQA AA8AA/CcAgAADwAE8CgAAAABAAnwEAAAADUlAAAAAAAA////AAAAAAACAArwCAAAAAAEAAAF AAAADwAE8DYAAABCAQrwCAAAAAIEAAAACgAAEwAL8AYAAAA/AgAAAgAAABDwBAAAAAEAAAAA ABHwBAAAAAEAAAAPAATwNgAAAEIBCvAIAAAAAwQAAAAKAAATAAvwBgAAAD8CAAACAAAAEPAE AAAAAwAAAAAAEfAEAAAAAQAAAA8ABPA2AAAAQgEK8AgAAAAEBAAAQAoAABMAC/AGAAAAPwIA AAIAAAAQ8AQAAAACAAAAAAAR8AQAAAABAAAADwAE8DYAAABCAQrwCAAAAAUEAAAACgAAEwAL 8AYAAAA/AgAAAgAAABDwBAAAAAUAAAAAABHwBAAAAAEAAAAPAATwNgAAAEIBCvAIAAAABgQA AEAKAAATAAvwBgAAAD8CAAACAAAAEPAEAAAABAAAAAAAEfAEAAAAAQAAAA8ABPA2AAAAQgEK 8AgAAAAHBAAAAAoAABMAC/AGAAAAPwIAAAIAAAAQ8AQAAAAHAAAAAAAR8AQAAAABAAAADwAE 8DYAAABCAQrwCAAAAAgEAABACgAAEwAL8AYAAAA/AgAAAgAAABDwBAAAAAYAAAAAABHwBAAA AAEAAAAPAATwNgAAAEIBCvAIAAAACQQAAAAKAAATAAvwBgAAAD8CAAACAAAAEPAEAAAACQAA AAAAEfAEAAAAAQAAAA8ABPA2AAAAQgEK8AgAAAAKBAAAQAoAABMAC/AGAAAAPwIAAAIAAAAQ 8AQAAAAIAAAAAAAR8AQAAAABAAAADwAE8DYAAABCAQrwCAAAAAsEAABACgAAEwAL8AYAAAA/ AgAAAgAAABDwBAAAAAAAAAAAABHwBAAAAAEAAAAPAATwQgAAABIACvAIAAAAAQQAAAAOAABT AAvwHgAAAL8BAAAQAMsBAAAAAP8BAAAIAAQDCQAAAD8DAQABAAAAEfAEAAAAAQAAAMonAADL JwAAlCgAAJUoAABLKQAATCkAAGcpAABoKQAAjikAAI8pAAD1ewAACwQAANgSAACQAAAA+BMA ALABAAB0AAAAAAACBAAA2BIAAJwAAAD4EwAAnAAAAHQAAAAAAAQEAADYGwAAhAAAAPgcAAAU AQAAdAAAAAAAAwQAANgbAACEAAAA+BwAAIQAAAB0AAAAAAAGBAAA2AkAAJAAAAD4CgAAsAEA AHQAAAAAAAUEAADYCQAAkAAAAPgKAACQAAAAdAAAAAAACAQAAIANAACQAAAAoA4AALABAAB0 AAAAAAAHBAAAgA0AAJAAAACgDgAAkAAAAHQAAAAAAAoEAACICwAAVAAAAKgMAAB0AQAAdAAA AAAACQQAAIgLAABUAAAAqAwAAFQAAAB0AAAAAAAAAAAA7QEAAPQBAADaBQAA5wUAAIwLAACV CwAA7gsAAPMLAAAODQAAEw0AAD4aAABBGgAALSkAADYpAAA6KQAAQikAAIEwAACNMAAALjQA ADo0AAB7OwAAhzsAAOpDAAD2QwAAtkoAAL1KAAC7SwAAvUsAAL5LAADCSwAAPE0AAEhNAADn TQAA8k0AAFZRAABYUQAAWVEAAF1RAADtagAA9moAAMZvAADTbwAA3XEAAOZxAABCegAASXoA AB17AAAfewAAIHsAACR7AACmewAA9nsAAAcAHAAHABwABwAcAAcAHAAHABwABwAEAAcAHAAH ABwABwAcAAcAHAAHABwABwAcAAcAHAAHABwABwAcAAcAHAAHABwABwAcAAcAHAAHABwABwAc AAcAHAAHABwABwAcAAcAHAAHAAcAAAAAANgBAADYAQAACAIAAC4CAABBAgAARAIAAOoDAADr AwAA3BkAAOQZAAA+GgAAQRoAAD8dAABDHQAA8CYAAPYmAABOJwAAWScAAN0pAAD6KQAAYywA AGksAADDLAAAySwAAHAtAAB+LQAAri0AALQtAAC6NQAA0DUAAPdKAABoTAAAuFMAAL5TAAC2 WgAAuVoAAAlcAAAMXAAAgVwAAIRcAAA0XgAAPV4AAJVfAAClXwAAp2IAAK1iAAChYwAApGMA AAFkAAAJZAAAZWsAAG9rAAClbQAAsW0AAHlyAACBcgAAZHkAAIR5AACGeQAA7nkAAPB5AAAC egAApXsAAKZ7AADBewAAxHsAAMV7AADkewAA5XsAAPB7AADzewAA9nsAAAcABAAHAAQABwAa AAcABAAHABoABwAEAAcAGgAHABoABwAaAAcAGgAHABoABwAaAAcAGgAHABoABwAaAAcAGgAH ABoABwAaAAcAGgAHABoABwAaAAcAGgAHABoABwAaAAcAGgAHABoABwAaAAcAGgAHABoABwAa AAcAGgAHAAcABwAaAAcABwAHAAcABwAHAP//DAAAAAcASgBYAFYAMAAzADAAMwA0AEQAOgBc AEIAQQBDAEsAVQBQAFwAQQB1AHQAbwBSAGUAYwBvAHYAZQByAFwAQQB1AHQAbwBSAGUAYwBv AHYAZQByAHkAIABzAGEAdgBlACAAbwBmACAAUgBBAEMARQAyAC4AYQBzAGQABwBKAFgAVgAw ADMAMAAzACwARAA6AFwAUwBBAEkATABcAEEATwBHAFwAMQA5ADkAOQBcAFMAdABhAG4AZABh AHIAZABzAFwAYwB1AHIAcgBlAG4AdABcAFIAQQBDAEUAMwAuAEQATwBDAAcASgBYAFYAMAAz ADAAMwA0AEQAOgBcAEIAQQBDAEsAVQBQAFwAQQB1AHQAbwBSAGUAYwBvAHYAZQByAFwAQQB1 AHQAbwBSAGUAYwBvAHYAZQByAHkAIABzAGEAdgBlACAAbwBmACAAUgBBAEMARQAzAC4AYQBz AGQABwBKAFgAVgAwADMAMAAzACwARAA6AFwAUwBBAEkATABcAEEATwBHAFwAMQA5ADkAOQBc AFMAdABhAG4AZABhAHIAZABzAFwAYwB1AHIAcgBlAG4AdABcAFIAQQBDAEUAMwAuAEQATwBD AAcASgBYAFYAMAAzADAAMwAsAEQAOgBcAFMAQQBJAEwAXABBAE8ARwBcADEAOQA5ADkAXABT AHQAYQBuAGQAYQByAGQAcwBcAGMAdQByAHIAZQBuAHQAXABSAEEAQwBFADMALgBEAE8AQwAG AFcAQQAtAEQATwBIACoAXABcAEMASABTADEAXABSAEUAUwBSAEMASABcAEQAQQBUAEEAXABQ AFIATwBKAEUAQwBUAFMAXABSAGEAYwBlAFwAUgBBAEMARQAzAC4ARABPAEMAAQD+//////// //8P/w//D/8P/w//D/8P/w//DwEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAKgAD AAAA/v///wAAAAAsr4UAAQAAAP7///8AAAAAzO+FAAEAAAD+////AAAAANiEhQABAAAA//// /wixhQAgAAAAAQAAABdAAAAAAAAAAAAAAAAAAABoAQAACwgAAA+E0AIRhJj+T0oBAFFKAQBv KAABALfw/////9jvhQAgAAAAAQAAABdAAAAAAAAAAAAAAAAAAABoAQAADwgAAA+EaAERhJj+ Q0oQAE9KAwBRSgMAbygAAQBx8P/////khIUAIAAAAAEAAAAXQAAAAAAAAAAAAAAAAAAAaAEA AAsIAAAPhGgBEYSY/k9KAQBRSgEAbygAAQC38P//AQAAAAAA/0BIUCBMYXNlckpldCA0MDAw IFNlcmllcyBQQ0wgNgBcXEhMVEhcLkNIU19SRVNFQVJDSDIuQ0hTLkVTUC5ET0guUEhDAEhQ QlhMQgBIUCBMYXNlckpldCA0MDAwIFNlcmllcyBQQ0wgNgBIUCBMYXNlckpldCA0MDAwIFNl cmllcyBQQ0wgNgAAAAAEZACUAN4AAx8AAAEAAQD2BPgCAAABAAcA/P8CAAEAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAABAAAAAAAAAAAAAAAAAAAAKgAAAIjv+/0BAAAABAAAAAAAAQAAAAAAAAAuAAAAAAAH AIQDAAAEAIcAegJ6ABIAcwQHAAAAsAQBAAAAsQQCAAAAtAQLAAEA1gQOAAEAsgQEAAAAcAQF AAEA1wQCAQAA2AQDAQAA2gQEAQAA2QQFAQAA2wQGAQAA3AQHAQAA3QQIAQAA3gQJAQAA3wQK AQAA4AQLAQAA4QQMAQAAAAAAAAAAAAAAAAAAAAAAAAEABwABAAcAAQBkAAAAAwIAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACoASFAgTGFzZXJKZXQgNDAwMCBTZXJpZXMgUENM IDYAAAAABGQAlADeAAMfAAABAAEA9gT4AgAAAQAHAPz/AgABAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAA AAAAAAAAAAAAAAAAACoAAACI7/v9AQAAAAQAAAAAAAEAAAAAAAAALgAAAAAABwCEAwAABACH AHoCegASAHMEBwAAALAEAQAAALEEAgAAALQECwABANYEDgABALIEBAAAAHAEBQABANcEAgEA ANgEAwEAANoEBAEAANkEBQEAANsEBgEAANwEBwEAAN0ECAEAAN4ECQEAAN8ECgEAAOAECwEA AOEEDAEAAAAAAAAAAAAAAAAAAAAAAAABAAcAAQAHAAEAZAAAAAMCAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAqAAGAAQBBGgAAQRoAAEjqhQABAAEAQRoAAAAAAAA+GgAAAAAA AAIQAAAAAAAAAPV7AABQAAAIAEAAAAQAAABHFpABAAACAgYDBQQFAgMEAwAAAAAAAAAAAAAA AAAAAAEAAAAAAAAAVABpAG0AZQBzACAATgBlAHcAIABSAG8AbQBhAG4AAAA1FpABAgAFBQEC AQcGAgUHAAAAAAAAABAAAAAAAAAAAAAAAIAAAAAAUwB5AG0AYgBvAGwAAAAzJpABAAACCwYE AgICAgIEAwAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAQQByAGkAYQBsAAAAOwaQAQIABQAAAAAA AAAAAAAAAAAAAAAQAAAAAAAAAAAAAACAAAAAAFcAaQBuAGcAZABpAG4AZwBzAAAAIgAEAEEA iBgAANACAABoAQAAAABkXDomlZo6RpOaOkYGAAgAAADiEQAA9GUAABEANAAAAAQAgxDZAAAA AAAAAAAAAAARAAEAAAABAAAAAAAAACEDAAAAhAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAKUGwAe0ALQAgAASMAAAEAAZAGQAAAAZAAAANH0AAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAACAAAA3AD//xIAAAAAAAAAVABHAHUAaQBkAGUAbABpAG4AZQBzACAAZgBvAHIAIAB1AHMA aQBuAGcAIABSAGEAYwBlAC8ARQB0AGgAbgBpAGMAaQB0AHkAIABhAG4AZAAgAFMAbwBjAGkA bwAtAEUAYwBvAG4AbwBtAGkAYwAgAFMAdABhAHQAdQBzACAAKABTAEUAUwApACAAaQBuACAA RABhAHQAYQAgAEEAbgBhAGwAeQBzAGUAcwAAAAAAAAANAEUAUwBQACAAQwBhAG0AcAB1AHMA IABJAFMABgBXAEEALQBEAE8ASAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP7/AAAEAAIA AAAAAAAAAAAAAAAAAAAAAAEAAADghZ/y+U9oEKuRCAArJ7PZMAAAANgBAAASAAAAAQAAAJgA AAACAAAAoAAAAAMAAAAAAQAABAAAAAwBAAAFAAAAJAEAAAYAAAAwAQAABwAAADwBAAAIAAAA UAEAAAkAAABgAQAAEgAAAGwBAAAKAAAAiAEAAAsAAACUAQAADAAAAKABAAANAAAArAEAAA4A AAC4AQAADwAAAMABAAAQAAAAyAEAABMAAADQAQAAAgAAAOQEAAAeAAAAVQAAAEd1aWRlbGlu ZXMgZm9yIHVzaW5nIFJhY2UvRXRobmljaXR5IGFuZCBTb2Npby1FY29ub21pYyBTdGF0dXMg KFNFUykgaW4gRGF0YSBBbmFseXNlcwAAYwAeAAAAAQAAAAB1aWQeAAAADgAAAEVTUCBDYW1w dXMgSVMAIHUeAAAAAQAAAABTUCAeAAAAAQAAAABTUCAeAAAACwAAAE5vcm1hbC5kb3QASR4A AAAHAAAAV0EtRE9IAGQeAAAAAgAAADYALUQeAAAAEwAAAE1pY3Jvc29mdCBXb3JkIDguMABn QAAAAAAwGh4BAAAAQAAAAADaZAhWGr8BQAAAAABYbcFJFL8BQAAAAABm609WGr8BAwAAABEA AAADAAAA4hEAAAMAAAD0ZQAAAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD+/wAABAACAAAAAAAAAAAA AAAAAAAAAAACAAAAAtXN1ZwuGxCTlwgAKyz5rkQAAAAF1c3VnC4bEJOXCAArLPmuhAEAAEAB AAAMAAAAAQAAAGgAAAAPAAAAcAAAAAUAAACAAAAABgAAAIgAAAARAAAAkAAAABcAAACYAAAA CwAAAKAAAAAQAAAAqAAAABMAAACwAAAAFgAAALgAAAANAAAAwAAAAAwAAAAhAQAAAgAAAOQE AAAeAAAABgAAAFdBRE9IAG4AAwAAANkAAAADAAAANAAAAAMAAAA0fQAAAwAAAGoQCAALAAAA AAAAAAsAAAAAAAAACwAAAAAAAAALAAAAAAAAAB4QAAABAAAAVQAAAEd1aWRlbGluZXMgZm9y IHVzaW5nIFJhY2UvRXRobmljaXR5IGFuZCBTb2Npby1FY29ub21pYyBTdGF0dXMgKFNFUykg aW4gRGF0YSBBbmFseXNlcwAMEAAAAgAAAB4AAAAGAAAAVGl0bGUAAwAAAAEAAAAAmAAAAAMA AAAAAAAAIAAAAAEAAAA2AAAAAgAAAD4AAAABAAAAAgAAAAoAAABfUElEX0dVSUQAAgAAAOQE AABBAAAATgAAAHsANQAyADUARgA5AEMAMwBDAC0ANwBGAEYANgAtADEAMQBEADMALQBCAEYA OAA3AC0AMAAwADAAOABDADcARAA4AEYAMABDADcAfQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAIAAAADAAAABAAAAAUAAAAGAAAA BwAAAAgAAAAJAAAACgAAAAsAAAAMAAAADQAAAA4AAAAPAAAAEAAAABEAAAASAAAAEwAAABQA AAAVAAAAFgAAABcAAAAYAAAAGQAAABoAAAAbAAAAHAAAAB0AAAAeAAAAHwAAACAAAAAhAAAA IgAAACMAAAAkAAAAJQAAACYAAAAnAAAAKAAAACkAAAAqAAAAKwAAACwAAAAtAAAALgAAAC8A AAAwAAAAMQAAADIAAAAzAAAANAAAADUAAAA2AAAANwAAADgAAAA5AAAAOgAAADsAAAA8AAAA PQAAAD4AAAA/AAAAQAAAAEEAAABCAAAAQwAAAEQAAABFAAAARgAAAEcAAABIAAAASQAAAEoA AABLAAAATAAAAE0AAABOAAAATwAAAFAAAABRAAAAUgAAAFMAAABUAAAAVQAAAFYAAABXAAAA WAAAAFkAAABaAAAAWwAAAFwAAABdAAAAXgAAAF8AAABgAAAAYQAAAGIAAABjAAAAZAAAAGUA AABmAAAAZwAAAGgAAABpAAAAagAAAGsAAABsAAAAbQAAAG4AAABvAAAAcAAAAHEAAAByAAAA cwAAAHQAAAB1AAAAdgAAAHcAAAB4AAAAeQAAAHoAAAB7AAAAfAAAAH0AAAB+AAAAfwAAAIAA AAD+////ggAAAIMAAACEAAAAhQAAAIYAAACHAAAAiAAAAIkAAACKAAAAiwAAAIwAAACNAAAA /v///48AAACQAAAAkQAAAJIAAACTAAAAlAAAAJUAAAD+////lwAAAJgAAACZAAAAmgAAAJsA AACcAAAAnQAAAP7////9/////f///6EAAAD+/////v////7///////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// /////////////////////////////////////1IAbwBvAHQAIABFAG4AdAByAHkAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWAAUB//////////8DAAAA BgkCAAAAAADAAAAAAAAARgAAAACAg0MjVhq/AUCXF11WGr8BowAAAIAAAAAAAAAAMQBUAGEA YgBsAGUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAA4AAgD///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AACBAAAAWBkAAAAAAABXAG8AcgBkAEQAbwBjAHUAbQBlAG4AdAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGgACAQUAAAD//////////wAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlAAEAAAAAAAUAUwB1AG0AbQBhAHIAeQBJAG4A ZgBvAHIAbQBhAHQAaQBvAG4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoAAIBAgAAAAQA AAD/////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAjgAAAAAQAAAAAAAA BQBEAG8AYwB1AG0AZQBuAHQAUwB1AG0AbQBhAHIAeQBJAG4AZgBvAHIAbQBhAHQAaQBvAG4A AAAAAAAAAAAAADgAAgH///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAACWAAAAABAAAAAAAAABAEMAbwBtAHAATwBiAGoAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEgACAQEAAAAGAAAA/////wAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABqAAAAAAAAAE8AYgBqAGUAYwB0AFAA bwBvAGwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWAAEA ////////////////AAAAAAAAAAAAAAAAAAAAAAAAAABAlxddVhq/AUCXF11WGr8BAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAD///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAA/v////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////wEA /v8DCgAA/////wYJAgAAAAAAwAAAAAAAAEYYAAAATWljcm9zb2Z0IFdvcmQgRG9jdW1lbnQA CgAAAE1TV29yZERvYwAQAAAAV29yZC5Eb2N1bWVudC44APQ5snEAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA --mime-boundary-iaanaaahem-0001B581 Content-type: application/rtf; name="RACE4.RTF" Content-disposition: attachment; filename="RACE4.RTF" Content-transfer-encoding: 7bit {\rtf1\ansi\ansicpg1252\uc1 \deff0\deflang1033\deflangfe1033{\fonttbl{\f0\froman\fcharset0\fprq2{\*\panose 02020603050405020304}Times New Roman;}{\f1\fswiss\fcharset0\fprq2{\*\panose 020b0604020202020204}Arial;} {\f2\fmodern\fcharset0\fprq1{\*\panose 02070309020205020404}Courier New;}{\f3\froman\fcharset2\fprq2{\*\panose 05050102010706020507}Symbol;}{\f4\froman\fcharset0\fprq2{\*\panose 02020603050405020304}Times;} {\f5\fswiss\fcharset0\fprq2{\*\panose 020b0604020202020204}Helvetica;}{\f6\fmodern\fcharset0\fprq1{\*\panose 00000000000000000000}Courier;}{\f7\fswiss\fcharset0\fprq2{\*\panose 00000000000000000000}Geneva;} {\f8\froman\fcharset0\fprq2{\*\panose 00000000000000000000}Tms Rmn;}{\f9\fswiss\fcharset0\fprq2{\*\panose 00000000000000000000}Helv;}{\f10\froman\fcharset0\fprq2{\*\panose 00000000000000000000}MS Serif;} {\f11\fswiss\fcharset0\fprq2{\*\panose 00000000000000000000}MS Sans Serif;}{\f12\froman\fcharset0\fprq2{\*\panose 00000000000000000000}New York;}{\f13\fswiss\fcharset0\fprq2{\*\panose 00000000000000000000}System;} {\f14\fnil\fcharset2\fprq2{\*\panose 05000000000000000000}Wingdings;}{\f15\fswiss\fcharset0\fprq3{\*\panose 020b0604030504040204}Tahoma;}{\f16\froman\fcharset238\fprq2 Times New Roman CE;}{\f17\froman\fcharset204\fprq2 Times New Roman Cyr;} {\f19\froman\fcharset161\fprq2 Times New Roman Greek;}{\f20\froman\fcharset162\fprq2 Times New Roman Tur;}{\f21\froman\fcharset186\fprq2 Times New Roman Baltic;}{\f22\fswiss\fcharset238\fprq2 Arial CE;}{\f23\fswiss\fcharset204\fprq2 Arial Cyr;} {\f25\fswiss\fcharset161\fprq2 Arial Greek;}{\f26\fswiss\fcharset162\fprq2 Arial Tur;}{\f27\fswiss\fcharset186\fprq2 Arial Baltic;}}{\colortbl;\red0\green0\blue0;\red0\green0\blue255;\red0\green255\blue255;\red0\green255\blue0;\red255\green0\blue255; \red255\green0\blue0;\red255\green255\blue0;\red255\green255\blue255;\red0\green0\blue128;\red0\green128\blue128;\red0\green128\blue0;\red128\green0\blue128;\red128\green0\blue0;\red128\green128\blue0;\red128\green128\blue128;\red192\green192\blue192;} {\stylesheet{\widctlpar\adjustright \fs20\cgrid \snext0 Normal;}{\s1\qj\keepn\widctlpar\adjustright \b\cgrid \sbasedon0 \snext0 heading 1;}{\s2\keepn\widctlpar\adjustright \b\cgrid \sbasedon0 \snext0 heading 2;}{\s3\keepn\widctlpar\adjustright \b\ul\cgrid \sbasedon0 \snext0 heading 3;}{\s4\keepn\widctlpar\adjustright \b\fs28\ul\cgrid \sbasedon0 \snext0 heading 4;}{\s5\keepn\widctlpar\adjustright \b\ul\cf1\cgrid \sbasedon0 \snext0 heading 5;}{\s6\li720\keepn\widctlpar\adjustright \b\ul\cgrid \sbasedon0 \snext0 heading 6;}{\*\cs10 \additive Default Paragraph Font;}{\s15\qj\widctlpar\adjustright \cgrid \sbasedon0 \snext15 Body Text;}{\s16\widctlpar\tqc\tx4320\tqr\tx8640\adjustright \fs20\cgrid \sbasedon0 \snext16 footer;}{\*\cs17 \additive \sbasedon10 page number;}{\s18\widctlpar\tqc\tx4320\tqr\tx8640\adjustright \fs20\cgrid \sbasedon0 \snext18 header;}{\s19\widctlpar\adjustright \b\ul\cgrid \sbasedon0 \snext19 Subtitle;}{\*\cs20 \additive \ul\cf2 \sbasedon10 Hyperlink;}}{\*\listtable {\list\listtemplateid-1\listsimple{\listlevel\levelnfc0\leveljc0\levelfollow0\levelstartat0\levelspace0\levelindent0{\leveltext\'01*;}{\levelnumbers;}}{\listname ;}\listid-2}}{\*\listoverridetable{\listoverride\listid-2\listoverridecount1{\lfolevel \listoverrideformat{\listlevel\levelnfc23\leveljc0\levelfollow0\levelstartat1\levelold\levelspace0\levelindent360{\leveltext\'01\u-3913 ?;}{\levelnumbers;}\f3\fbias0 \fi-360\li720 }}\ls1}{\listoverride\listid-2\listoverridecount1{\lfolevel \listoverrideformat{\listlevel\levelnfc23\leveljc0\levelfollow0\levelstartat1\levelold\levelspace0\levelindent360{\leveltext\'01\u-3983 ?;}{\levelnumbers;}\f14\fs16\fbias0 \fi-360\li360 }}\ls2}{\listoverride\listid-2\listoverridecount1{\lfolevel \listoverrideformat{\listlevel\levelnfc23\leveljc0\levelfollow0\levelstartat1\levelold\levelspace0\levelindent360{\leveltext\'01\u-3913 ?;}{\levelnumbers;}\f3\fbias0 \fi-360\li360 }}\ls3}}{\info {\title Guidelines for using Race/Ethnicity and Socio-Economic Status (SES) in Data Analyses}{\author ESP Campus IS}{\operator JXV0303}{\creatim\yr1999\mo10\dy19\hr11\min23}{\revtim\yr1999\mo10\dy19\hr11\min23}{\printim\yr1999\mo10\dy19\hr10\min19} {\version2}{\edmins0}{\nofpages18}{\nofwords4578}{\nofchars26100}{\*\company WADOH}{\nofcharsws32052}{\vern89}}\margl1440\margr1440 \widowctrl\ftnbj\aenddoc\makebackup\lytprtmet\hyphcaps0\formshade\viewkind1\viewscale100\pgbrdrhead\pgbrdrfoot \fet0\sectd \linex0\endnhere\sectdefaultcl {\header \pard\plain \s18\qc\widctlpar\tqc\tx4320\tqr\tx8640\adjustright \fs20\cgrid {\b\fs32 D R A F T \par }}{\footer \pard\plain \s16\widctlpar\tqc\tx4320\tqr\tx8640\adjustright \fs20\cgrid {\i\fs18 Draft for review\'85.. }{\field{\*\fldinst {\i\fs18 DATE \\@ "MM/dd/yy" }}{\fldrslt {\i\fs18\lang1024 10/19/99}}}{\i\fs18 \tab }{\field{\*\fldinst {\cs17\i\fs18 PAGE }}{\fldrslt {\cs17\i\fs18\lang1024 1}}}{\cs17\i\fs18 \tab }{\i\fs18 \par }}{\*\pnseclvl1\pnucrm\pnstart1\pnindent720\pnhang{\pntxta .}}{\*\pnseclvl2\pnucltr\pnstart1\pnindent720\pnhang{\pntxta .}}{\*\pnseclvl3\pndec\pnstart1\pnindent720\pnhang{\pntxta .}}{\*\pnseclvl4\pnlcltr\pnstart1\pnindent720\pnhang{\pntxta )}} {\*\pnseclvl5\pndec\pnstart1\pnindent720\pnhang{\pntxtb (}{\pntxta )}}{\*\pnseclvl6\pnlcltr\pnstart1\pnindent720\pnhang{\pntxtb (}{\pntxta )}}{\*\pnseclvl7\pnlcrm\pnstart1\pnindent720\pnhang{\pntxtb (}{\pntxta )}}{\*\pnseclvl8 \pnlcltr\pnstart1\pnindent720\pnhang{\pntxtb (}{\pntxta )}}{\*\pnseclvl9\pnlcrm\pnstart1\pnindent720\pnhang{\pntxtb (}{\pntxta )}}\pard\plain \widctlpar\adjustright \fs20\cgrid {\b\fs24 Attached for your review are the draft guidelines for use of race/ethnicity in assessment activities. We intend for this to be a web document only and so we are looking mostly for comments on content, not format. The format will look different once it's on the web. When we have the content finalized, we will post it on the web and solicit your comments on the format. Where you see something underlined and in bold, it means we would build in a link. Please e-mail your comments to Pat Starzyk (pms0303@d oh.wa.gov or pat.starzyk@doh.wa.gov after 10/28) by COB Nov. 19th\'85.or post to PH-ASSESS to share with everyone. Thanks\'85. \par }\pard\plain \s2\keepn\widctlpar\outlinelevel1\adjustright \b\cgrid { \par \par Guidelines for using Racial and Ethnic Group in Data Analyses \par }\pard\plain \s5\keepn\widctlpar\outlinelevel4\adjustright \b\ul\cf1\cgrid {Purpose \par }\pard\plain \s19\widctlpar\adjustright \b\ul\cgrid {Background and Context \par }\pard\plain \s3\keepn\widctlpar\outlinelevel2\adjustright \b\ul\cgrid {Definition of Minimum Categories \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\b\fs24\ul Guidelines \par }\pard \li720\widctlpar\adjustright {\b\fs24\ul Implementation Schedule \par }\pard \fi720\widctlpar\adjustright {\b\fs24\ul Data Collection \par }\pard \widctlpar\adjustright {\fs24 \tab }{\b\fs24\ul Data Tabulation \par }\pard\plain \s3\keepn\widctlpar\outlinelevel2\adjustright \b\ul\cgrid {Additional Information \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\b\fs24\ul Special Issues \par }{\fs24 \tab }{\b\fs24\ul Estimates of \ldblquote More than One Race\rdblquote in Washington State \par }\pard\plain \s6\li720\keepn\widctlpar\outlinelevel5\adjustright \b\ul\cgrid {Bridging Ratios for Trend Analysis \par }\pard\plain \s5\keepn\widctlpar\outlinelevel4\adjustright \b\ul\cf1\cgrid { \par \par Purpose \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\fs24 \par The Assessment Operations Group in the Washing ton State Department of Health is coordinating the development of guidelines related to data development and use in order to promote good professional practice among staff involved in assessment activities within the Washington State Department of Health a nd in Local Health Jurisdictions in Washington. While the guidelines are intended for an audience of differing levels of training related to data development and use, they assume a basic knowledge of epidemiology and biostatistics. They are not intended to recreate basic texts and other sources of information related to the topics covered by the guidelines, but rather they focus on common issues encountered in public health practice and where applicable, to issues unique to Washington state. \par \par }\pard\plain \s1\keepn\widctlpar\outlinelevel0\adjustright \b\cgrid {\ul Background and Context \par }\pard\plain \widctlpar\adjustright \fs20\cgrid { \par }{\fs24 Epidemiology is the study of the distribution and determinants of disease frequency in human population. When examining the distribution of disease or health status, populations are often examined according to such characteristics as race and ethnicity. Analysts should carefully consider whether there are sufficient reasons for using race and ethnicity in examining a particular health issue. Some possible reasons why race and ethnicity may be useful and appropriate variables to include in p u blic health analyses include differences in biological or genetic characteristics related to race or ethnicity, differences in cultural norms, variations in social status, and access to health care. If there are not sufficient reasons for examining data by race and ethnicity, analysts should not automatically do so. \par \par Some of the variation in the distribution of disease is related to biological processes and genetic traits that are more prevalent in some racial and ethnic groups than in others. For example , melanoma is most prevalent in Caucasians; sickle cell anemia is most prevalent in people of African descent; and the neurological disease Tay-Sachs is primarily a disease of Eastern European Jews. Some variation seems to be related to socio-cultural pr a ctices. For example, good birth outcomes among Mexican-American women are thought to be related to healthy lifestyle choices during pregnancy. Additionally, racial and ethnic groups may serve as surrogate variables that are measuring factors other than b iological and socio-cultural practices of a particular group. For example, in some areas people of certain racial and ethnic groups may, as a group, have fewer material resources than other groups. Differences in health status caused by lack of access t o material goods may appear as differences in health status among racial and ethnic groups, although the root cause is not race or ethnicity. \par \par The distribution of health care in the community may also justify measuring health data by racial and ethnic grou p. Some providers of health care serve primarily people from one or several specific racial or ethnic groups, either because they work in communities composed of primarily one or several ethnic groups or because they provide outreach to a specific group i ndependent of geography. For example, there are clinics that serve primarily Native American, Hispanic and Asian populations. These providers want to know the health status of the groups they serve and one method of delineating this is to analyze health data by racial and ethnic group. \par \par Concepts of race and ethnic group change over time. During the early 1990\rquote s, the United States Office of Management and Budget (OMB) embarked on a nationwide review of the guidelines for reporting race and ethnicity in fed eral statistics that had been in force since 1977 (Statistical Policy Directive No. 15). As a result of that review, OMB issued a revised standard in 1997 }{\fs24\cf1 that is to be used in the United States Census in 2000 and in birth, death, and fetal death certificates by 2003. The two major changes in the OMB standard are: \par \par {\pntext\pard\plain\f3\cf1\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\i\fs24\cf1 People can be identified by more than one racial category }{\fs24\cf1 \par {\pntext\pard\plain\f3\cf1\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\i\fs24\cf1 Pacific Islanders will no longer be classified with Asians and}{\fs24\cf1 \par {\pntext\pard\plain\f3\cf1\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\i\fs24\cf1 The question on Hispanic/Latino ethnicity should be asked before the race question. }{\fs24\cf1 \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24\cf1 \par }\pard\plain \s3\keepn\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\outlinelevel2\adjustright \b\ul\cgrid {Definition of Minimum Categories \par }\pard\plain \s15\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright \cgrid { \par The minimum categories established in the 1997 OMB Standard for Federal Data on Race and Ethnicity are: \par \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard\plain \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright \fs20\cgrid {\b\fs24 Race \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\b\fs24 American Indian or Alaska Native (AIAN):}{ \fs24 A person having origins in any of the original peoples of North and South America (including Central America), and who maintains tribal affiliation or community attachment. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\b\fs24 Asian:}{\fs24 A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand and Vietnam. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\b\fs24 Black or African American:}{\fs24 A person having origins in any of the black racial groups of Africa. Terms such as \ldblquote Haitian\rdblquote or \ldblquote Negro\rdblquote can be used in addition to \ldblquote Black or African American.\rdblquote \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\b\fs24 Native Hawaiian or Other Pacific Islander (NHOPI):}{\fs24 A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\b\fs24 White}{\fs24 : A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\b\fs24 Ethnic Group \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\b\fs24 Hispanic or Latino:}{\fs24 A person of Cuban, Mexican, Puerto Rican, South or Central American or other Spanish culture or origin, regardless of race. The term \ldblquote Spanish origin\rdblquote can be used in addition to \ldblquote Hispanic or Latino.\rdblquote \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs24 \par }\pard\plain \s2\keepn\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\outlinelevel1\adjustright \b\cgrid {\ul Guidelines: Implementation Schedule \par }\pard\plain \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright \fs20\cgrid {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Continue to use the OMB 1977 Standards for Race and Ethnicity for all data pertaining to years through 1999, regardless of date of publication \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Adopt the OMB 1997 Standards for Race and Ethnicity for collecting data by January 1, 2003. This date may correspond to the implementation of the new standards in the birth, death, and fetal death certificates in Washington State. }{\b\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Adopt the OMB 1997 Standards for Race and Ethnicity for tabulating any data collected on or after January 1, 2003.}{\b\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 January 1, 2000 \endash December 31, 2002 is called the transition period. Some programs will use the new standard and some programs will use the old standard. Bridging estimates may have to be used for data comparability.}{\b\fs24 \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs24 \par }\pard\plain \s2\keepn\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\outlinelevel1\adjustright \b\cgrid {\ul Guidelines: Data Collection}{\b0 \par }\pard\plain \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright \fs20\cgrid { \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Persons of mixed racial origins can, but are not required to, report more than one race. Data on mixed race should be collected as multiple responses to a single question rather than from a separate \ldblquote multiracial\rdblquote category. Recommended question wording is \ldblquote Mark one or more...,\rdblquote \ldblquote Select one or more....,\rdblquote or \ldblquote Race \endash enter one or more.\rdblquote \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 For ethnic group, data should be collected on whether or not a person is of Hispanic or Latino culture or origin, but the OMB stan dards do not permit multiple responses (e.g., both Hispanic and non-Hispanic heritage). To help provide more complete race data for Hispanic respondents, an instruction to answer both the Hispanic or Latino question and the race question may be useful, es pecially for mail surveys or self-administered questionnaires. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Data should be collected separately for race and ethnicity, with ethnicity collected first. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 If a combined race/ethnicity format must be used, a person should be allowed to select more than one racial/ethnic category but can be required to select only one category. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 The specific terminology for racial and ethnic categories as described above should be used whenever the }{\b\fs24\ul categories}{\fs24 are listed. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Data collection is not limited to the }{ \b\fs24\ul categories}{\fs24 described above}{\b\fs24 . }{\fs24 In fact, the collection of subgroup detail is encouraged. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Subgroup detail could be collected through write-in entries or follow-up questions asked by the interviewer. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 If more detailed categories are used, then the additional categories must be organized so that they can be aggregated into the minimum}{\b\fs24 }{\b\fs24\ul categories}{\fs24 described above. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Additional categories should be mutually exclusive \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Additional categories should be consistent with available denominator data if one intends to calculate }{\b\fs24\ul rates}{\fs24 . \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Ad ditional categories need to be meaningful to the populations about whom data are being collected. If possible, involve the communities in developing additional categories to help assure this. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Mode of administration should be considered when designing questions and instructions. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 For face-to-face surveys, a flashcard with the categories may be useful. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 For telephone surveys, fewer response categories could be used, with follow-up questions to provide more detail. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 For self-administered forms with a check box format, definitions for the minimum race categories may be needed. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Use self-reporting rather than observer identification whenever possible. If self-reporting is not possible (e.g., for a deceased person), attempt to obtain proxy responses from family or friends before using observer identification. \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Use translated data collection forms to ensure inclusion of people from diverse backgrounds whenever possible.}{\fs24\super }{\fs24 \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs28 \page \par DATA COLLECTION EXAMPLE FOR SELF-ADMINISTERED QUESTIONNAIRE \par }\pard \widctlpar\tx360{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs24 \par NOTE: Please answer Both questions 5 and 6. \par \par 5. Are you Spanish/Hispanic/Latino? }{\i\fs24 Mark [X] the }{\b\i\fs24 \ldblquote No\rdblquote }{\i\fs24 box if }{\b\i\fs24 not }{\i\fs24 Spanish/Hispanic/Latino. \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\b\fs22 No, }{\fs22 not Spanish/Hispanic/Latino \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Yes, Mexican, Mexican Am, Chicano \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Yes, Puerto Rican \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Yes, Cuban}{\fs24 \par {\pntext\pard\plain\f14\fs16\lang1024\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\lang1024 {\shp{\*\shpinst\shpleft4824\shptop144\shpright5112\shpbottom432\shpfhdr0\shpbxcolumn\shpbypara\shpwr3\shpwrk0\shpfblwtxt0\shpz9\shplid1035{\sp{\sn shapeType}{\sv 20}}{\sp{\sn fFlipH}{\sv 1}}{\sp{\sn fFlipV}{\sv 0}} {\sp{\sn fShadow}{\sv 0}}}{\shprslt{\*\do\dobxcolumn\dobypara\dodhgt8201\dpline\dpptx288\dppty0\dpptx0\dppty288\dpx4824\dpy144\dpxsize288\dpysize288\dplinew15\dplinecor0\dplinecog0\dplinecob0}}} {\shp{\*\shpinst\shpleft4824\shptop156\shpright5112\shpbottom156\shpfhdr0\shpbxcolumn\shpbypara\shpwr3\shpwrk0\shpfblwtxt0\shpz0\shplid1026{\sp{\sn shapeType}{\sv 20}}{\sp{\sn fFlipH}{\sv 0}}{\sp{\sn fFlipV}{\sv 0}} {\sp{\sn fShadow}{\sv 0}}}{\shprslt{\*\do\dobxcolumn\dobypara\dodhgt8192\dpline\dpptx0\dppty0\dpptx288\dppty0\dpx4824\dpy156\dpxsize288\dpysize0\dplinew15\dplinecor0\dplinecog0\dplinecob0}}}}{\fs24 Yes, other }{\fs22 Spanish/Hispanic/Latino \endash Print group }{\fs24 \par }\pard \widctlpar\tx360{\*\pn \pnlvlcont\ilvl12\ls0\pnrnot0\pndec }\ilvl12\adjustright {\fs24 \par \par }{\b\fs24 6. What is your race?}{\fs24 }{\b\i\fs24 Mark [X] one or more races}{\i\fs24 to indicate what this person considers himself/herself to be. \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 White \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Black, African Am., or Negro \par {\pntext\pard\plain\f14\fs16\lang1024\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\lang1024 {\shp{\*\shpinst\shpleft7128\shptop132\shpright7416\shpbottom276\shpfhdr0\shpbxcolumn\shpbypara\shpwr3\shpwrk0\shpfblwtxt0\shpz2\shplid1028{\sp{\sn shapeType}{\sv 20}}{\sp{\sn fFlipH}{\sv 1}}{\sp{\sn fFlipV}{\sv 0}} {\sp{\sn fShadow}{\sv 0}}}{\shprslt{\*\do\dobxcolumn\dobypara\dodhgt8194\dpline\dpptx288\dppty0\dpptx0\dppty144\dpx7128\dpy132\dpxsize288\dpysize144\dplinew15\dplinecor0\dplinecog0\dplinecob0}}} {\shp{\*\shpinst\shpleft7128\shptop132\shpright7416\shpbottom132\shpfhdr0\shpbxcolumn\shpbypara\shpwr3\shpwrk0\shpfblwtxt0\shpz1\shplid1027{\sp{\sn shapeType}{\sv 20}}{\sp{\sn fFlipH}{\sv 0}}{\sp{\sn fFlipV}{\sv 0}} {\sp{\sn fShadow}{\sv 0}}}{\shprslt{\*\do\dobxcolumn\dobypara\dodhgt8193\dpline\dpptx0\dppty0\dpptx288\dppty0\dpx7128\dpy132\dpxsize288\dpysize0\dplinew15\dplinecor0\dplinecog0\dplinecob0}}}}{\fs22 American Indian or Alaska Native \endash Print name of enrolled or principal tribe}{\fs24 \par }\pard \widctlpar\tx360{\*\pn \pnlvlcont\ilvl12\ls0\pnrnot0\pndec }\ilvl12\adjustright {\i\fs24 \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Asian Indian \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Chinese \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Filipino \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Japanese \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Korean \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Vietnamese \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Native Hawaiian \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Guamanian or Chamorro \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 Samoan \par {\pntext\pard\plain\f14\fs16\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\fs22 \par {\pntext\pard\plain\f14\fs16\lang1024\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\lang1024 {\shp{\*\shpinst\shpleft2520\shptop144\shpright2808\shpbottom432\shpfhdr0\shpbxcolumn\shpbypara\shpwr3\shpwrk0\shpfblwtxt0\shpz4\shplid1030{\sp{\sn shapeType}{\sv 20}}{\sp{\sn fFlipH}{\sv 1}}{\sp{\sn fFlipV}{\sv 0}} {\sp{\sn fShadow}{\sv 0}}}{\shprslt{\*\do\dobxcolumn\dobypara\dodhgt8196\dpline\dpptx288\dppty0\dpptx0\dppty288\dpx2520\dpy144\dpxsize288\dpysize288\dplinew15\dplinecor0\dplinecog0\dplinecob0}}} {\shp{\*\shpinst\shpleft2520\shptop144\shpright2808\shpbottom144\shpfhdr0\shpbxcolumn\shpbypara\shpwr3\shpwrk0\shpfblwtxt0\shpz3\shplid1029{\sp{\sn shapeType}{\sv 20}}{\sp{\sn fFlipH}{\sv 0}}{\sp{\sn fFlipV}{\sv 0}} {\sp{\sn fShadow}{\sv 0}}}{\shprslt{\*\do\dobxcolumn\dobypara\dodhgt8195\dpline\dpptx0\dppty0\dpptx288\dppty0\dpx2520\dpy144\dpxsize288\dpysize0\dplinew15\dplinecor0\dplinecog0\dplinecob0}}}}{\fs22 Other Asian \endash Print race \par {\pntext\pard\plain\f14\fs16\lang1024\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\lang1024 {\shp{\*\shpinst\shpleft3456\shptop144\shpright3744\shpbottom432\shpfhdr0\shpbxcolumn\shpbypara\shpwr3\shpwrk0\shpfblwtxt0\shpz6\shplid1032{\sp{\sn shapeType}{\sv 20}}{\sp{\sn fFlipH}{\sv 1}}{\sp{\sn fFlipV}{\sv 0}} {\sp{\sn fShadow}{\sv 0}}}{\shprslt{\*\do\dobxcolumn\dobypara\dodhgt8198\dpline\dpptx288\dppty0\dpptx0\dppty288\dpx3456\dpy144\dpxsize288\dpysize288\dplinew15\dplinecor0\dplinecog0\dplinecob0}}} {\shp{\*\shpinst\shpleft3456\shptop144\shpright3744\shpbottom144\shpfhdr0\shpbxcolumn\shpbypara\shpwr3\shpwrk0\shpfblwtxt0\shpz5\shplid1031{\sp{\sn shapeType}{\sv 20}}{\sp{\sn fFlipH}{\sv 0}}{\sp{\sn fFlipV}{\sv 0}} {\sp{\sn fShadow}{\sv 0}}}{\shprslt{\*\do\dobxcolumn\dobypara\dodhgt8197\dpline\dpptx0\dppty0\dpptx288\dppty0\dpx3456\dpy144\dpxsize288\dpysize0\dplinew15\dplinecor0\dplinecog0\dplinecob0}}}}{\fs22 Other Pacific Islander \endash Print race \par }\pard \widctlpar\tx360{\*\pn \pnlvlcont\ilvl12\ls0\pnrnot0\pndec }\ilvl12\adjustright {\b\fs24 \par {\pntext\pard\plain\f14\fs16\lang1024\cgrid \loch\af14\dbch\af0\hich\f14 \'71\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls2\pnrnot0\pnf14\pnfs16\pnstart1\pnindent360\pnhang{\pntxtb q}}\ls2\adjustright {\lang1024 {\shp{\*\shpinst\shpleft2952\shptop84\shpright3240\shpbottom372\shpfhdr0\shpbxcolumn\shpbypara\shpwr3\shpwrk0\shpfblwtxt0\shpz8\shplid1034{\sp{\sn shapeType}{\sv 20}}{\sp{\sn fFlipH}{\sv 1}}{\sp{\sn fFlipV}{\sv 0}} {\sp{\sn fShadow}{\sv 0}}}{\shprslt{\*\do\dobxcolumn\dobypara\dodhgt8200\dpline\dpptx288\dppty0\dpptx0\dppty288\dpx2952\dpy84\dpxsize288\dpysize288\dplinew15\dplinecor0\dplinecog0\dplinecob0}}} {\shp{\*\shpinst\shpleft2952\shptop84\shpright3240\shpbottom84\shpfhdr0\shpbxcolumn\shpbypara\shpwr3\shpwrk0\shpfblwtxt0\shpz7\shplid1033{\sp{\sn shapeType}{\sv 20}}{\sp{\sn fFlipH}{\sv 0}}{\sp{\sn fFlipV}{\sv 0}} {\sp{\sn fShadow}{\sv 0}}}{\shprslt{\*\do\dobxcolumn\dobypara\dodhgt8199\dpline\dpptx0\dppty0\dpptx288\dppty0\dpx2952\dpy84\dpxsize288\dpysize0\dplinew15\dplinecor0\dplinecog0\dplinecob0}}}}{\fs22 Some other race \endash Print race \par }\pard \widctlpar\tx360{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs24 \par \par }\pard\plain \s3\keepn\widctlpar\tx360{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\outlinelevel2\adjustright \b\ul\cgrid {\page Guidelines: Data Tabulation \par }\pard\plain \widctlpar\tx360{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright \fs20\cgrid {\b\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Tabulate data so as to accurately represent each person\rquote s choice of racial and ethnic identity. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl12\ls0\pnrnot0\pndec }\ilvl12\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Include as much detail on race and ethnicity as possible without compromising data quality or confidentiality. More detail can usually be published for population totals than for attributes (e.g., income, education, or health outcomes). \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl12\ls0\pnrnot0\pndec }\ilvl12\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Aggregate data by racial/ethnic group only when such an aggregation provides meaningful categories (e.g., \ldblquote nonwhite\rdblquote or \ldblquote other\rdblquote is not usually a meaningful category). \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 In addition to the minimum racial and ethnic }{ \b\fs24\ul categories}{\fs24 (and subgroup detail where possible), data tables may include three other categories: \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\b\fs24 Other Race:}{\fs24 Use for responses that do not match any of the standard racial categories. \par }\pard \li360\widctlpar{\*\pn \pnlvlcont\ilvl12\ls0\pnrnot0\pndec }\ilvl12\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\b\fs24 Race Not Reported:}{\fs24 Use when information on race was not provided. If data are available, this category can be subdivided according to the reason that information on race was not obtained: refusal, don\rquote t know, and not ascertained. \par }\pard \li360\widctlpar{\*\pn \pnlvlcont\ilvl12\ls0\pnrnot0\pndec }\ilvl12\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\b\fs24 Not Tabulated Above: }{\fs24 Use to aggregate responses for any racial categories (e.g., a single race or responses to more than one category) that do not contain enough people to be published separately because of data quality or confidentiality concerns. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par The following tables show some options for presenting data. On all tables the five race categories (plus \lquote Other\rquote ) are listed alphabetically.}{\b\fs24 \par }{\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Follow this example when sample sizes or population counts do not permit greater detail. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par Table 1. Minimum Presentation of Data on Race \par \par }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx3569\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb \brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx4690\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx5744\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Race\cell Number\cell Percent \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\cltxlrtb \cellx3569\clvertalt\cltxlrtb \cellx4690 \clvertalt\cltxlrtb \cellx5744\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Total\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 AIAN}{\fs24\super 1}{\fs24 \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Black\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 NHOPI}{\fs24\super 1}{\fs24 \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Other\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 More than one race\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080\trbrdrt \brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx3569\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx4690\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx5744\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Race Not Reported\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\super 1}{AIAN=American Indian or Alaska Native; NHOPI=Native Hawaiian or Other Pacific Islander \par }{\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 If sample or population sizes for any of the racial groups are too small to meet data quality or confidentiality standards, then combine these racial groups into a category labeled \lquote Not Tabulated Above\rquote and present data only for the larger racial categories. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Follow this example to report data containing the minimum racial groupings plus additional detail (e.g., under \ldblquote Asian\rdblquote and under \ldblquote More than one race\rdblquote ). \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par Table 2. Detailed Presentation of Data on Race \par \par }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx3569\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb \brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx4690\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx5744\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Race\cell Number\cell Percent \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\cltxlrtb \cellx3569\clvertalt\cltxlrtb \cellx4690 \clvertalt\cltxlrtb \cellx5744\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Total\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 AIAN}{\fs24\super 1}{\fs24 \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian Indian\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Chinese\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Filipino\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Japanese\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Korean\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Vietnamese\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Black\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 NHOPI}{\fs24\super 1}{\fs24 \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Other\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 More than one race\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 AIAN/White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian/White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Black/White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080\trbrdrt \brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx3569\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx4690\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx5744\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Race Not Reported\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\super 1}{AIAN=American Indian or Alaska Native; NHOPI=Native Hawaiian or Other Pacific Islander}{\b\fs24 \par \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Report as much detail under the category \ldblquote More than one race\rdblquote as needed to represent the responses provided by individuals (without violating confidentiality or data analysis standards) and such that the minimum set of racial categories can be recreated. The detail reported under \lquote More than one race\rquote in this table represents the most frequently reported combinations of racial categories based on National Health Interview Survey data. For other populations, the most frequent combinations may be different. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 When data systems collect more detail on subgroups of the main categories, some persons may indicate that they belong to more than one subgroup. For example, i n the Asian category, respondents might indicate both Chinese and Japanese heritage. These respondents should be included in the single race total for Asians, }{\fs24\ul not}{\fs24 in the \ldblquote More than one race\rdblquote category. If sample size permits, they can be tabulated separately as an Asian subgroup \ldblquote More than one Asian race.\rdblquote \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 \page Follow this example to reflect the complexity of reporting race and to present inclusive categories. (Note: persons may be counted in more than one category in the table below.) \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par Table 3. Detailed Presentation of Data on Race and the All Inclusive Distributions \par \par }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx3960\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb \brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx5040\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx6030\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Race\cell Number\cell Percent \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\cltxlrtb \cellx3960\clvertalt\cltxlrtb \cellx5040 \clvertalt\cltxlrtb \cellx6030\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Total\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 AIAN}{\fs24\super 1}{\fs24 \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian Indian\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Chinese\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Filipino\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Japanese\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Korean\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Vietnamese\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Black\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 NHOPI}{\fs24\super 1}{\fs24 \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Other\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 More than one race\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 AIAN/White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian/White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Black/White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Race Not Reported\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 AIAN all inclusive\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 AIAN and other race(s)\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian all inclusive \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian and other race(s)\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080\trbrdrt \brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx3960\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx5040\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx6030\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 (}{\i\fs24 etc for other categories}{\fs24 )\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\super 1}{AIAN=American Indian or Alaska Native; NHOPI=Native Hawaiian or Other Pacific Islander}{\fs24 \par \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Use the \lquote all inclusive\rquote headings to represent persons who report a particular race e ither alone or in combination with other race(s). The distributions of individuals under the all-inclusive category may provide information on groups that are not of sufficient size in the sample or population to be included in basic tabulations. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Data on Hispanic or Latino subgroups may be presented in the format shown in Table 4, similar to the race tabulations, but no provision is made for reporting more than one subgroup or both Hispanic and non-Hispanic ethnicity. The subgroups used will be a functi on of the sample size and the population composition where the data are collected. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 \page Follow this example to tabulate data on Hispanic/Latino ethnicity. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par Table 4. Hispanic or Latino Ethnicity with Detail \par \par }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx3656\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb \brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx4777\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx5831\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Ethnicity\cell Number\cell Percent\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\cltxlrtb \cellx3656\clvertalt\cltxlrtb \cellx4777\clvertalt\cltxlrtb \cellx5831\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Total\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Hispanic/Latino\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Cuban\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Mexican\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Puerto Rican\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Not Hispanic/Latino\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080\trbrdrt \brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx3656\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx4777\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx5831\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Ethnicity Not Reported\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 Report race by ethnicity whenever possible without violating data quality or confidentiality standards. Thus, Tables 1-3 could be further subdivided by tabulating data in each category for \ldblquote Hispanic or Latino,\rdblquote \ldblquote Not Hispanic or Latino,\rdblquote and \ldblquote Ethnicity Not Reported.\rdblquote Table 5 (next page) shows Table 2 subdivided in this way. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 \page Follow this example to report race by ethnicity. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par Table 5. Detailed Presentation of Data on Race and Hispanic or Latino Ethnicity \par \par }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx3569\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb \brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx4690\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx5744\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Race\cell Number\cell Percent \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\cltxlrtb \cellx3569\clvertalt\cltxlrtb \cellx4690 \clvertalt\cltxlrtb \cellx5744\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Total\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Hispanic or Latino\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 AIAN}{\fs24\super 1}{\fs24 \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Black\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 NHOPI}{\fs24\super 1}{\fs24 \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Other\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 More than one race\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Race Not Reported\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Not Hispanic or Latino\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 AIAN\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0 \pndec }\adjustright {\fs24 Asian\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian Indian \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Chinese\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Filipino\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Japanese\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Korean\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Vietnamese\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Black\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 NHOPI\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Other\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 More than one race\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 AIAN/White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Asian/White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Black/White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Race Not Reported\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Ethnicity Not Reported\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 White\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx3569\clvertalt \clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx4690\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx5744\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Race Not Reported\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\super 1}{AIAN=American Indian or Alaska Native; NHOPI=Native Hawaiian or Other Pacific Islander} {\fs24 \par \par }{\b\fs28 \page }{\fs24 If possible, collect data under both the old and the new OMB standard for a sufficient period of time to create an estimate of the characteristics of the population under consideration under both methods for reporting race and e thnicity. Use this data to calculate a }{\b\fs24\ul bridging ratio}{\fs24 for use in trend analysis. }{\b\fs24 \par }{\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 If it is not possible to calculate a bridging ratio that is directly applicable to a specific data collection system, then use a bridging ratio available from another sourc e that most closely approximates the population under consideration (e.g., state or county survey). \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24 If it is impractical to use a bridging ratio or this approach is not suitable, then clearly indicate that a break in the data series exists between data co llected before the 1997 OMB standard on race and ethnicity is implemented and afterwards. Depending on the nature of the analysis, use appropriate means for conveying the change in the data series, including separate tables or graphs, clearly demarcated breaks in trend lines, footnotes, technical notes, and explanations within the text. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs24 \par }\pard\plain \s5\keepn\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\outlinelevel4\adjustright \b\ul\cf1\cgrid {Additional Information \par }\pard\plain \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright \fs20\cgrid {\fs24\cf1 \par {\pntext\pard\plain\f3\cf1\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24\cf1 For an in-depth discussion of these issues, see the 1997 OMB report \ldblquote }{\i\fs24\cf1 Recommendations from the Interagency Committee for the Review of the Racial an d Ethnic Standards to the Office of Management and Budget Concerning Changes to the Standards for the Classification of Federal Data on Race and Ethnicity}{\fs24\cf1 " at }{\cf1 \par {\pntext\pard\plain\f3\cf1\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24\cf1 For a complete copy of the \ldblquote Draft Provisional Guidance on the Implementation of the 1997 Standards for Federal Data on Race and Ethnicity,\rdblquote see }{\cf1 (available via webpage \par {\pntext\pard\plain\f3\cf1\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls1\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls1\adjustright {\fs24\cf1 For an an alysis of the possible impact of the change in racial classification standards based on Washington State Population Survey data, see the Office of Financial Management\rquote s (1999) report by Yi Zhao on \ldblquote Understanding the Change and Impacts of Race Re-Classification\rdblquote at }{\cf1 (available at}{\fs24\cf1 <}{\cs20\ul\cf2 http://www.ofm.wa.gov/data_a_toc.html}{\fs24 >). }{\fs24\cf1 \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs24 \par \par }\pard\plain \s3\keepn\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\outlinelevel2\adjustright \b\ul\cgrid {Special Issues \par }\pard\plain \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright \fs20\cgrid {\b\fs24 \par }\pard\plain \s4\keepn\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\outlinelevel3\adjustright \b\fs28\ul\cgrid {\fs24 Estimates of \ldblquote More than One Race\rdblquote in Washington \par }\pard\plain \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright \fs20\cgrid {\fs28 \par }{\fs24 The Office of Financial Management (OFM) conducts the }{\b\fs24\ul Washington State Population Survey}{\fs24 (WSPS), a telephone survey of 7,279 households (with oversampling of Blacks, Asians, Hispanics, and American Indians. Although the sample size is small, the results (which have been weighted to adjust for sample design and nonresponse) may give an indication of data distributions to be expected for Washington State. About 4% of respondents reported more than one race. This percentage is higher than the 1-2% found for national data sets. The percent reporting more than one race depends strongly on race group, being highest for AIAN (71%) and lowest for Whites (4%), with intermediate percentages of 6% for Asian or Pacific Islanders, 18% for Blacks, and 25% for Other race(s). The most common \lquote multiracial\rquote combinations are AIAN/White, Other/White, a nd Black/White. Of those reporting more than one race, 93% reported two races, 6% reported three races, and 1% reported four races. For more analysis of the Washington State Population Survey data and how the OMB changes in racial classification may af fect population distributions by race, refer to the }{\b\fs24\ul Research Brief}{\fs24 (link?) prepared by Yi Zhao (OFM 1999). \par \par }\pard\plain \s3\keepn\widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\outlinelevel2\adjustright \b\ul\cgrid {Bridging Ratios for Trend Analysis \par }\pard\plain \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright \fs20\cgrid {\fs24 \par Data collected under the new standard will not generally be comparable to data collected under the old (prev ious OMB) standard. In addition, not all programs will begin using the new standard at the same time. Thus, when tabulating data using the new standard, some researchers may also need to tabulate data that show what responses would have been under the o ld standard. The comparison between the old and the new standard provides a }{\b\fs24 bridging ratio}{\fs24 .. This ratio can be used in two ways: 1) to compare current to past data for trend analyses; and 2) to provide consistent numerators and denominators before all data are available in the new format. \par \par Note that agencies may not need a bridging estimate if they can tolerate a \lquote break\rquote in their data series or if comparison to another series provides users with enough information about the change. However, if no bridging estimates are provided agencies should be sure to document the change in the data series. Depending on the nature of the analysis, appropriate means for conveying the change might include producing separate tables or graphs, clearly demarcated breaks in trend lines, footnotes, technical notes, and explanations within the text. \par \page }{\b\fs24\ul Bridging Methods \par \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Bridging estimates only need to be made for persons who select more than one race. It is assumed that those who select a single race would have selected the same race under both standards. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs24\ul \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Recommended method: Ask a follow-up question for those reporting more than one racial identity, asking them to select the one they feel best describes them. Use this data to calculate a }{\b\fs24\ul bridging ratio.}{\fs24 \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs24\ul \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 If it is not possible to calculate a bridging ratio that is directly applicable to a specific data collection system, then use a }{\b\fs24\ul bridging ratio}{\fs24 available from another source that most closely approximates the population under consideration (e.g., state or county survey). \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 If neit her of these methods is possible, use a statistical method to assign an individual to a category using one of the following methods: \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\b\fs24 whole assignment: }{\fs24 assign an individual \rquote s responses to one race group using either \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li1080\widctlpar\tx1080{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 the race with the smallest single-race count ( }{\b\fs24 smallest group}{\fs24 ); \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li1080\widctlpar\tx1080{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 the race other than white with the highest single-race count (}{\b\fs24 largest group other than white}{\fs24 ); \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li1080\widctlpar\tx1080{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 the race with the largest single-race count (} {\b\fs24 largest group}{\fs24 ); or \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li1080\widctlpar\tx1080{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 the race with which other individuals having the same combination of races identify most strongly, using data collected in the National Health Interview Survey (NHIS) (}{\b\fs24 plurality}{\fs24 ). \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\b\fs24 fractional assignment:}{\fs24 assign an individual\rquote s responses as fractions of multiple categories using either \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li1080\widctlpar\tx1080{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 equal fractions for each group (}{\b\fs24 equal fractions}{\fs24 ); or \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li1080\widctlpar\tx1080{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 the fractional proportion of individuals identifying most strongly with each race, based on NHIS data (}{\b\fs24 NHIS fractions}{\fs24 ). \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\b\fs24 all inclusive:}{\fs24 assign an individual \rquote s responses to each race reported. In this case, the sum of the categories totals more than 100% and may need to be adjusted for comparison with percent distributions under the old standard. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Bridging methods using NHIS data will currently only work if just two races are given. Data were not retained in the NHIS for more than two races. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Another possible bridging method is }{\b\fs24 hot deck imputation:}{\fs24 assign the race of the \lquote nearest neighbor\rquote who has similar demographic characteristics and has reported a single race that is the same as one of the races reported by the multiracial individual. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \page \par }{\b\fs24\ul Sample Use of Statistical Bridging Methods \par }{\fs24 \par The following scenario shows how a single race would be assigned using each of the bridging methods. Assume a person reports being both Black and White. For a Black/White combination in the NHIS, 70% of those expre ssing a clear preference identified most closely with Black and 30% with White. \par \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Use this example to help understand how to apply the different statistical bridging methods. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par Table 1. Example - Use of Bridging Methods to Assign a Single Race to One Respondent \par \par \par }\trowd \trgaph108\trrh285\trleft1080\trkeep \clvertalt\clbrdrt\brdrs\brdrw30 \cltxlrtb \cellx4680\clvertalt\clbrdrt\brdrs\brdrw30 \cltxlrtb \cellx6930\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Method\cell Number assigned to:\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trrh285\trleft1080\trkeep \clvertalt\clbrdrb\brdrs\brdrw15 \cltxlrtb \cellx4680\clvertalt\clbrdrb\brdrs\brdrw15 \cltxlrtb \cellx5760\clvertalt\clbrdrb\brdrs\brdrw15 \cltxlrtb \cellx6930\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Black\cell White\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080 \clvertalt\cltxlrtb \cellx4680\clvertalt\cltxlrtb \cellx5760\clvertalt\cltxlrtb \cellx6930\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Whole Assignment:\cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Smallest group\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 1\cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Largest group other than White\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 1\cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec } \adjustright {\fs24 Largest group\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \cell 1\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Plurality\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 1\cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 Fractional Assignment:\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec } \adjustright {\fs24 Equal fractions\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 0.5\cell 0.5\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 NHIS fractions\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 0.7\cell 0.3\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\trowd \trgaph108\trleft1080 \clvertalt\clbrdrb\brdrs\brdrw30 \cltxlrtb \cellx4680\clvertalt\clbrdrb\brdrs\brdrw30 \cltxlrtb \cellx5760\clvertalt\clbrdrb\brdrs\brdrw30 \cltxlrtb \cellx6930\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 All Inclusive \cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 1\cell 1\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \row }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par \par \page }{\b\fs24\ul Evaluation of Statistical Bridging Methods \par }{\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Primary criteria for evaluating bridging methods: That they \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 measure change over time and \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li720\widctlpar\tx720{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 assign an individual\rquote s responses to the category they would have chosen under the old standard. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl12\ls0\pnrnot0\pndec }\ilvl12\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Data sources used in the evaluation: the NHIS data described above, the Washington State Population Survey (WSPS), and the May 1995 Supplement On Race And Ethnicity To The Current Population Survey (CPS). Each of these data sources asked both a question structured under the old standard and questions similar to those that might be structured under the new standard. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\b\fs24\ul \par Goodness of Fit Test \par }{\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Method of evaluation: use each bridging method and the multiple race data to estimate numbers expected under the old (single race) standard. Compare these numbers to the single race distribution actually collected, which approximates data collected under the old standard. Evaluate agreement by a goodness of fit measure, in this case a multiple of the standard Likelihood Ratio G}{\fs24\super 2}{\fs24 statistic used in categorical analysis. Small values of the goodness of fit measure indicate that the distributions are close. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par The following table shows the evaluation results using the WSPS, which uses Washington State data and would therefore presumably be the best representation of what to expect for the Washington State population. \par \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Use this table to help decide which statistical bridging methods to use. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par Table 2. Percent Distribution of Race for Bridge Tabulation Methods, Washington State Population Survey (WSPS) \par \par }\trowd \trgaph108\trleft-270\trkeep\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx2136\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb \brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx2974\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx3812\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx4650\clvertalt\clbrdrt \brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx5395\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx6140\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx6961\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx8748\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Method\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 White\cell Black\cell AIAN}{\fs22\super 2}{\fs22 \cell API}{\fs22\super 2}{\fs22 \cell Other\cell Total\cell Goodness of Fit\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\trowd \trgaph108\trleft-270\trkeep\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\cltxlrtb \cellx2136\clvertalt\cltxlrtb \cellx2974 \clvertalt\cltxlrtb \cellx3812\clvertalt\cltxlrtb \cellx4650\clvertalt\cltxlrtb \cellx5395\clvertalt\cltxlrtb \cellx6140\clvertalt\cltxlrtb \cellx6961\clvertalt\cltxlrtb \cellx8748\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec } \adjustright {\fs22 Reference Distribution}{\fs22\super 1}{\fs22 \cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 89.0\cell 2.3\cell 1.3\cell 3.0\cell 4.4\cell 100.0\cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 All Inclusive \cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0 \pndec }\adjustright {\fs22 90.1\cell 2.8\cell 3.2\cell 3.2\cell 5.1\cell 104.4\cell 0.0077\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec } \adjustright {\fs22 Whole Assignment:\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \cell \cell \cell \cell \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright { \fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Smallest group\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 86.2\cell 2.4\cell 3.2\cell 3.2\cell 5.0 \cell 100.0\cell 0.0083\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Largest group other \par than White \cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 86.2\cell 2.8\cell 2.8\cell 3.2\cell 5.0\cell 100.0\cell 0.0068\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec } \adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Largest group\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 90.1\cell 2.4\cell 0.9\cell 2.9 \cell 3.7\cell 100.0\cell 0.0017\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Plurality\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 89.7\cell 2.8\cell 0.9\cell 2.9\cell 3.7\cell 100.0\cell 0.0021\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Fractional Assignment:\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \cell \cell \cell \cell \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Equal fractions\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 88.1\cell 2.5\cell 2.0\cell 3.1\cell 4.4\cell 100.0\cell 0.0017\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\trowd \trgaph108\trleft-270\trkeep\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx2136\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx2974\clvertalt\clbrdrb \brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx3812\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx4650\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx5395\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx6140\clvertalt\clbrdrb \brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx6961\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx8748\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 NHIS fractions\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 88.6\cell 2.6\cell 1.2\cell 3.0\cell 4.6\cell 100.0\cell 0.0002\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\super 1}{Reference distribution is from the original race question conforming to the old standard \par }{\super 2}{AIAN= American Indian or Alaska Native;}{\super }{API=Asian or Pacific Islander \par }{\fs24 \par \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Best methods according to the goodness of fit measure: fractional assignment using NHIS fractions, followed by fractional assignment using equal fractions and whole assignment using either the largest group or the plurality method. Similar re sults were found using the NHIS and CPS data sets. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par }{\b\fs24\ul Misclassification Rates \par }{\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 As Table 2 shows, the percent White is relatively independent of the bridging method used. This is not the case for smaller groups, especially those groups such as AIAN where a l arge percent of respondents report more than one race. For these groups it will be harder to construct an accurate bridge to the old standard. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Method of evaluation: calculate misclassification rates by comparing an individual\rquote s race reported under the o ld standard to the race assigned under the new standard. The race under the old standard is determined by asking a question similar to the old standard question. The race under the new standard is assigned by using one of the bridging methods. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par Table 3 gives misclassification rates for the various bridging methods. \par \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Use this table to assess the impact of various methods on estimates for different race groups. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par Table 3. Percent of All Respondents Misclassified by Bridge Tabulation Methods, Washington State Population Survey (WSPS) \par \par }\trowd \trgaph108\trleft90\trkeep\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx2520\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb \brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx3330\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx4140\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx5040\clvertalt\clbrdrt \brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx5760\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx6660\clvertalt\clbrdrt\brdrs\brdrw30\brdrcf11 \clbrdrb\brdrs\brdrw15\brdrcf11 \cltxlrtb \cellx7560\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Method\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 White\cell Black\cell AIAN}{\fs22\super 1}{\fs22 \cell API} {\fs22\super 1}{\fs22 \cell Other\cell Total\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\trowd \trgaph108\trleft90\trkeep\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\cltxlrtb \cellx2520\clvertalt\cltxlrtb \cellx3330\clvertalt\cltxlrtb \cellx4140\clvertalt\cltxlrtb \cellx5040\clvertalt\cltxlrtb \cellx5760\clvertalt\cltxlrtb \cellx6660\clvertalt\cltxlrtb \cellx7560\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Whole Assignment:\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \cell \cell \cell \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Smallest group\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 3.2\cell 9.4\cell 11.5\cell 6.2\cell 10.4\cell 3.9\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Largest group other \par than White \cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 3.2\cell 0.7\cell 14.2\cell 6.3\cell 11.2\cell 3.7\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Largest group\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 0.6\cell 2.3\cell 32.5\cell 7.0\cell 26.7 \cell 2.4\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Plurality\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 0.8\cell 1.9\cell 32.2\cell 6.9\cell 26.7\cell 2.6\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Fractional Assignment:\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \cell \cell \cell \cell \cell \cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 Equal fractions\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 1.9\cell 5.4\cell 22.2\cell 6.6\cell 18.4\cell 3.1\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\trowd \trgaph108\trleft90\trkeep\trbrdrt\brdrs\brdrw30\brdrcf11 \trbrdrb\brdrs\brdrw30\brdrcf11 \clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx2520\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx3330\clvertalt\clbrdrb \brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx4140\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx5040\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx5760\clvertalt\clbrdrb\brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx6660\clvertalt\clbrdrb \brdrs\brdrw30\brdrcf11 \cltxlrtb \cellx7560\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 NHIS fractions\cell }\pard \qc\widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 1.4\cell 2.7 \cell 29.4\cell 6.7\cell 17.7\cell 2.7\cell }\pard \widctlpar\intbl{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs22 \row }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\super 1}{ AIAN= American Indian or Alaska Native;}{\super }{API=Asian or Pacific Islander \par \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 All methods have substantial misclassification rates for the AIAN and \lquote Other\rquote race categories. Best methods for these groups: whole assignment using either the smallest group or the largest group other than White. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \page \par }{\b\fs24\ul Bridging Considerations \par }{\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 An ideal bridgin g method not only recreates the population distribution under the old standard so that the only difference remaining is due to true change over time, but also assigns an individual\rquote s responses to the old category that would have been chosen. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl12\ls0\pnrnot0\pndec }\ilvl12\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 The data pr esented in Tables 2 and 3 allow users, within limits, to see how well the bridging methods using racial data collected under the new standards can match data from the same respondents collected (at the same time) under the old standards. To the extent th a t there is a match, any change occurring from now on would indicate true change. If the match is poor, true change cannot be isolated. Race groups whose members tend to report only one race (e.g., Whites) will have a better match than other groups, rega rdless of method used. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 Thus far, most of the work on developing bridging methods has relied on sample data, and small samples at that. Thus, options have been presented but until all the analyses have been completed, no recommendations on bridging methods will be made. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 As yet there is no plan for how the Census data will be bridged to provide population data by the old standard. \par }\pard \widctlpar{\*\pn \pnlvlcont\ilvl0\ls0\pnrnot0\pndec }\adjustright {\fs24 \par {\pntext\pard\plain\f3\cgrid \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \fi-360\li360\widctlpar\tx360{\*\pn \pnlvlblt\ilvl0\ls3\pnrnot0\pnf3\pnstart1\pnindent360\pnhang{\pntxtb \'b7}}\ls3\adjustright {\fs24 There are inherent strengths and weaknesses in each of the tabulation approaches. Furthermore, all of these methods are simpl istic compared with the human behavior they are seeking to emulate and, at best, any method will only be able to reflect roughly what is sought in an historical bridge. It is unclear how people will respond to the new racial questions in the future and r esponses could differ by mode of data collection and with the subject of the survey. \par }\pard \widctlpar\adjustright { \par }{\fs24 \par \par }\pard\plain \s2\keepn\widctlpar\outlinelevel1\adjustright \b\cgrid {References \par }\pard\plain \widctlpar\adjustright \fs20\cgrid {\b\fs24 \par }{\fs24 Office of Management and Budget. Provisional Guidance on the Implementation of the 1997 Standards for Federal Data on Race and Ethnicity. February 17, 1999. \par }{ (available via webpage ) \par }{\fs24 \par Washington State Office of Financial Management, Washington State Population Survey, Understanding the Change and Impacts of Race Re-Classification, by Yi Zhao, Research Brief, No. 5, July 1999. }{ (available at ) \par }} --mime-boundary-iaanaaahem-0001B581-- .