X-Account-Key: account7 X-UIDL: 1275886969.24615.mail62,S=75316 X-Mozilla-Status: 0001 X-Mozilla-Status2: 10000000 X-Mozilla-Keys: Return-Path: Delivered-To: ron@1166093.1882787 Received: (qmail 24610 invoked by uid 78); 7 Jun 2010 05:02:49 -0000 Received: from unknown (HELO cloudmark1) (10.49.16.84) by 0 with SMTP; 7 Jun 2010 05:02:49 -0000 Return-Path: Received: from [98.136.45.100] ([98.136.45.100:24780] helo=n75d.bullet.mail.sp1.yahoo.com) by cm-mr9 (envelope-from ) (ecelerity 2.2.2.41 r(31179/31189)) with ESMTP id FC/03-27013-87D7C0C4; Mon, 07 Jun 2010 01:02:49 -0400 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=yahoogroups.com; s=lima; t=1275886967; bh=M0Rqia0FHVod534e7JiDFOVqFKyR5c8opPYm1Z2DexE=; h=Received:Received:X-Yahoo-Newman-Id:X-Sender:X-Apparently-To:X-Received:X-Received:X-Received:X-Authority-Analysis:X-Cloudmark-Score:X-Received:To:Message-ID:X-Mailer:Thread-Index:Content-Language:X-Originating-IP:X-eGroups-Msg-Info:From:X-Yahoo-Profile:Sender:MIME-Version:Mailing-List:Delivered-To:List-Id:Precedence:List-Unsubscribe:Date:Subject:X-Yahoo-Newman-Property:Reply-To:Content-Type; b=VT+pF2mxD5kOu24WNFwvnb7S+u4yFUzOBZjJUbOWnH9cV3rp5OzRxf83DrDmIW2GzNWq6U3N6P2tP52fY4sTKAi8kmImQxNBqah+ifFikL/FLt5Pjexy0LShfjlqBgkr DomainKey-Signature: a=rsa-sha1; q=dns; c=nofws; s=lima; d=yahoogroups.com; b=f1Yf54rv8jQUwuO0J/YBfKj4r3kMGi/sVB6ciVR15QWqQr8iaXNg/WYgzgvXbHJ+a8gkTjnIIl5bh/QQesxkYJTJkHwLgZXwA1c3LjWSeVsm+1jcnNsemkkbA3DpTxRb; Received: from [69.147.65.150] by n75.bullet.mail.sp1.yahoo.com with NNFMP; 07 Jun 2010 05:02:47 -0000 Received: from [66.196.94.62] by t7.bullet.mail.sp1.yahoo.com with NNFMP; 07 Jun 2010 05:02:47 -0000 X-Yahoo-Newman-Id: 12111071-m110146 X-Sender: gmorlan@tampabay.rr.com X-Apparently-To: metatrader_experts_and_indicators@yahoogroups.com X-Received: (qmail 36292 invoked from network); 7 Jun 2010 05:02:26 -0000 X-Received: from unknown (98.137.34.46) by m12.grp.re1.yahoo.com with QMQP; 7 Jun 2010 05:02:26 -0000 X-Received: from unknown (HELO hrndva-omtalb.mail.rr.com) (71.74.56.124) by mta3.grp.sp2.yahoo.com with SMTP; 7 Jun 2010 05:02:25 -0000 X-Authority-Analysis: v=1.1 cv=DT5lrGikL/lNZzMKzbmp3iVCACewI9NZ3q1CIi1KGbI= c=1 sm=0 a=aXNXnYBohMAA:10 a=ygRHs6EKU7oA:10 a=nS+zSNEA4jtGT2g3su/Nkw==:17 a=bYfWM_lr6sjlMsYeL7IA:9 a=8hwM1RAk2bi5Ke0jVWYA:7 a=wtrB0KPY1t5AZdwHUrAWv8ZIPl4A:4 a=CjuIK1q_8ugA:10 a=yMhMjlubAAAA:8 a=SSmOFEACAAAA:8 a=gDzApGenQjZwhHf1slsA:9 a=E54JyPNLSO3k3XNvKY4A:7 a=PsiKiDRi-ixUeeGKXVHa0uU_C2YA:4 a=dBVuF7-84kb4TuuuTXcA:9 a=_mu9HJdc-TC6UmiYNmJZM-a78mIA:4 a=HXjIzolwW10A:10 a=VjqJFrWgRDOnaag7:18 a=nS+zSNEA4jtGT2g3su/Nkw==:117 X-Cloudmark-Score: 0 X-Received: from [70.125.42.184] ([70.125.42.184:1753] helo=nunswen0cecy73) by hrndva-oedge02.mail.rr.com (envelope-from ) (ecelerity 2.2.2.39 r()) with ESMTP id 32/FD-29882-E5D7C0C4; Mon, 07 Jun 2010 05:02:25 +0000 To: Message-ID: <000001cb05fe$9f922be0$deb683a0$@rr.com> X-Mailer: Microsoft Office Outlook 12.0 Thread-Index: AcsF/p5XrdqbtncGTludjCznFCu75A== Content-Language: en-us X-Originating-IP: 71.74.56.124 X-eGroups-Msg-Info: 1:12:0:0:0 From: "Loren Morlan" X-Yahoo-Profile: lorenmorlan Sender: MetaTrader_Experts_and_Indicators@yahoogroups.com MIME-Version: 1.0 Mailing-List: list MetaTrader_Experts_and_Indicators@yahoogroups.com; contact MetaTrader_Experts_and_Indicators-owner@yahoogroups.com Delivered-To: mailing list MetaTrader_Experts_and_Indicators@yahoogroups.com List-Id: Precedence: bulk List-Unsubscribe: Date: Mon, 7 Jun 2010 01:02:25 -0400 Subject: [MT_E and I] EUR/USD, 6/7/10, 1 HOUR SUPPORT ESTABLISHED AT FE 261.8 and 7/05 low at 1.1868 incident to retracement X-Yahoo-Newman-Property: groups-email-ff-m Reply-To: MetaTrader_Experts_and_Indicators@yahoogroups.com Content-Type: multipart/mixed; boundary="----=_NextPart_000_0001_01CB05DD.18808BE0" X-Antivirus: AVG for E-mail 9.0.829 [271.1.1/2922] ------=_NextPart_000_0001_01CB05DD.18808BE0 Content-Type: multipart/alternative; boundary="----=_NextPart_001_0002_01CB05DD.18808BE0" ------=_NextPart_001_0002_01CB05DD.18808BE0 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit Attached 1 hour chart follows the monthly chart posted earlier. The 1 hour chart reports FE 141.4 support found in the monthly period. In addition two red horizontal lines recor earlier fractal support or resistance levels. The I hour period traces on earlier retracement period highlighted in light blue. An RSI a, b and c legs were traced with highest RSI value at Wave c high. Thereafter price resumed its downward pattern incident to tracing Wave E in the monthly period. The high of wave c offered a lower risk short entry. The retracement period is used to establish the FE study in green. FE 261.8 at 1.1868 agrees with an earlier fractal low established in July, 05' (red horizontal line). A fractal has formed just above this important support level and likely serves as the low of Wave c along with the lowest RSI value in this most recent a, b, c pattern. Price will likely now trace another retracement pattern like the earlier one in this period. Wave c high will trace the highest RSI value and offer another short opportunity. A long trade with the retracement is higher risk. Comments; Price has found probable support at fractal low established in 7/05, and FE 261.8 in the 1 hour period and will trace a three wave pattern higher. Price always finds support or resistance at some Fibonacci level established in some time cycle. FE 141.4 in the monthly is very near support in the daily referred to above. RSI at 13.57 in this period is oversold which argues higher price. RSI is a master indicator which faithfully traces price performance in all time periods. Loren ------=_NextPart_001_0002_01CB05DD.18808BE0 Content-Type: text/html; charset=US-ASCII Content-Transfer-Encoding: 7bit  

Attached 1 hour chart follows the monthly chart posted earlier.   The 1 hour chart reports FE 141.4 support found in the monthly period.  In addition two red horizontal lines recor earlier fractal support or resistance levels.

 

The I hour period traces on earlier retracement period highlighted in light blue.  An RSI a, b and c legs were traced with highest RSI value at Wave c high.  Thereafter price resumed its downward pattern incident to tracing Wave E in the monthly period.  The high of wave c offered a lower risk short entry. 

 

The retracement period is used to establish the FE study in green.  FE 261.8 at 1.1868 agrees with an earlier fractal low established in July, 05’ (red horizontal line).  A fractal has formed just above this important support level and likely serves as the low of Wave c along with the lowest RSI value in this most recent a, b, c pattern.

 

Price will likely now trace another retracement pattern like the earlier one in this period.  Wave c high will trace the highest RSI value and offer another short opportunity.  A long trade with the retracement is higher risk.

 

Comments;

Price has found probable support at fractal low established in 7/05, and FE 261.8 in the 1 hour period and will trace a three wave pattern higher.  Price always finds support or resistance at some Fibonacci level established in some time cycle.  FE 141.4 in the monthly is very near support in the daily referred to above.

 

RSI at 13.57 in this period is oversold which argues higher price.

 

RSI is a master indicator which faithfully traces price performance in all time periods.

 

Loren

__._,_.___
Recent Activity:
See http://www.ForexMT4.com/mt_yahoo/ for archives of Experts and Indicators from the MetaTrader Experts and Indicators Group.
MARKETPLACE

Stay on top of your group activity without leaving the page you're on - Get the Yahoo! Toolbar now.


Get great advice about dogs and cats. Visit the Dog & Cat Answers Center.


Get real-time World Cup coverage on the Yahoo! Toolbar. Download now to win a signed team jersey!

.

__,_._,___
------=_NextPart_001_0002_01CB05DD.18808BE0-- ------=_NextPart_000_0001_01CB05DD.18808BE0 Content-Type: image/png; name="1 HOUR.png" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="1 HOUR.png" iVBORw0KGgoAAAANSUhEUgAABPUAAAN8CAIAAAC/XQg9AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA B3RJTUUH2gYHBBs469uDKAAAAAd0RVh0QXV0aG9yAKmuzEgAAAAMdEVYdERlc2NyaXB0aW9uABMJ ISMAAAAKdEVYdENvcHlyaWdodACsD8w6AAAADnRFWHRDcmVhdGlvbiB0aW1lADX3DwkAAAAJdEVY dFNvZnR3YXJlAF1w/zoAAAALdEVYdERpc2NsYWltZXIAt8C0jwAAAAh0RVh0V2FybmluZwDAG+aH AAAAB3RFWHRTb3VyY2UA9f+D6wAAAAh0RVh0Q29tbWVudAD2zJa/AAAABnRFWHRUaXRsZQCo7tIn AAABAElEQVR4nOzdX2gb+d7n+W8NDccP7OzjYWdoz8OwLW1gjw29tM0u3clVSuSiZbLQMQS6D8zQ MTacE7LsSXblk5MrS1d5ciwm6YsmfVh77VwsSaAhyUWwzi5BFVg26b6xmw3Eh9lG6unhefTAwOPT DIwPMzy1FyWVS6WqUkmqUv2q6v0idFs/lUo//ddH39/vV5ppmgIAAAAAQJr9dPzjP0q6DwAAAAAA ROAd63+apiXbDwAAAABANiQ1TPidxHsAAAAAABEKqN6ReqYgweop45MBAAAAZIpfiCXcTk1SEZd8 CwAAACBrBqMs4Xaakrq3ybcAAAAAMsgZsQi3yXKWczVNCzg5cjDVKgAAAQBJREFUIfItAAAAgGyy Ym26w217Z1lzWd5pi4ixoWnahtG/nXXa2PC+SJexYTUE7MG1E8/G/nP8udKsaZqmaVqNrpOTizLf BveJJZoBAAAATFm6w62t0jRP7a8VRrpIsyKN9at2wm1//0bKly8E7qO9s1yqd3fRrEi95AzI9p5b 2+V6aWjEneZD4J1vnYHcr9G1gZW87b8HdxgQyp078SxP+12164Ku7YffegAAAADIOP1iRaTx9Yu2 dbJ91JD3zxQCL9I+aohULuoiIvqWX6YurN2siNTvOIvDyfKt39o/DrgKxxbpr/UPDbf2PgPOHbxS z/64/pb4a9wAAAAAkBHG83ovuX5arC8AAAEASURBVA5Rf24M28SKzkftSTsVlejn37qqz87oG2b7 8IbuGQAAAACyoF7ymUsbhvG8LvaI5Pb3b6Q8XxhyEX2rWelea4ire/P9iD2KjW++te89u2TqN3g4 wBgR1Hmlg+0j7QoAAAAAssA5/zbc9FtHJC7Vy9ut7qXaL75uDJt8KyLdUcnNikhjvaiFWkfKjz3M Vhy50hUzo6pcBo1PloE1tccY9+ucNBtme8+rGLxqircAAAAA4KvStFaAEhHHdNswk29P6Vu9fQRO sg3eoWt6qfPvwZMTChqfPPkU1sH5uqOiZgsAAAAA3oaNDC6s3d8uy+n6x4OTb4ePLS5cuFz2m2Rr DX0pzNEyAAABAElEQVQeOtx5aobMv3Uu2uQasexXlR2pWuva3nUVzm1cV+1K/LHWuAEAAABAMdbS TutfGiJijTsWr3WjugnX2rB/8q3/HqzD3G4M2bW0d+7URSo3ww2YnoZ3PFtd6VG8qq+DCTOgTuuZ S/2ua/BcV3vwTvz6AAAAAACpVC9p9dNTlaa5pYu+ZTZFK9nnWK2DCms3K+uNer20Mb/9plG+fL/Q O8d3D/pWa/tNcd0+o7zdcuza2Rm/K02Id0V0zH0F7oSCKgAAAABkXlLR76fjH6M8PlBMxwECAAAA AGCo6I9/CwAAAADA9JFvAQAAAABZQL4FAAAAAGQB+RYAAAAAkAXkWwAArih6ygAAAQBJREFUAABI r/bOsmZZ3mnbrcaGpi3vGPZ5Pd2D2vY2aDu3t8883aW9eTqQbwEAAAAgpdo7y8V12W6ZZrMijfWr vcDa/v6NlC9f0Nf2za7WdllEKhf1vg0K3Z1opbpjn1fXG5Wmaba2y/WSMzQrj3wLAAAAAOnUfvF1 oxtT9S3TNPfXCt0zjhry/pnC6YY7V9cbUmlu6eLawNjQiuuNgX3OF0QKFy6XpfH1i3b8NyQi5FsA AAAASKf2UUP6cmyX8bx+WqoVEePL9YaUt6/pnhtUmt3qrnufhTPvizSO2vF0PgbkWwAAAABIpfb3 b0TK8nzZNVm2/f0bqwLbZTyviz0a2bWBvtrqHZQAAAEASURBVGXaRV17n33efN+OvuvxIN8CAAAA QHo16nLTNM1mRXqTZdsvvm440+xgvHVtMB2apg22WDy3HDzXc2Mn8i0AAAAApFLhzPvSWzNKv1jp jSV2Tb4diLcDs3MH9+nkt+VIPHNpb+0r0xViPc/VNG1wY5fTfKvVgnIwAAAAAEAthfnyYKNr8q01 4NgZUt2zcz1YY5Kt8c+Ogc7jM00zzGZWiB37WqjfAgAAAEA6FS5cLkv9uSG9Ku18YWDybfuo0R9S 3Ru46Ne2y1Yh2LE6c5zsTDsYbq0ByeET7zvR9w4AAAAAMA2Ftf3mkVbS6iJS3m7trxXaO183ypfv F3wvYk2+Ddgj3RjcAAABAElEQVTAuc9K01zz39KXNYQ4TC51xVd77LE9Gnlwm6C92ReQqpib4xeC AQAAAADwi6POduvvMFsObux3qZ+Of6R+CwAAAACIl3ONqMF28Sr2us6yV5YKqOWSbwEAAAAA8XKF UjuyBmw8eO7QUcqsLwUAAAAAyALyLQAAAAAgC8i3AAAAAIAsIN8CAAAAQJoYG5qmbRjDz2nvLPdv aTV0Le+0h17Q2NBcnJdSDvkWAAAAANKivbOslepjXdTY0Irrst2yjivb2pb1ondKdqs0za5mRRrr V9VNuORbAAAAAEgFY0MrrjfGvWypLuXt+2sF63Rh7f52WeqlUAm3R79YEWl8/aI9Iva9cQAAAQBJ REFUXh9iR74FAAAAgLSoNM3Wdnn0yxnP6yLlyxcKp02FC5fLIvXnRlR9Sx7HvwUAAACAVNC3TF2k /X3wVvWSNjCAuf39GxF5/0zB2Vg4875I4833bdFDdsAjJSuF+i0AAAAAZMjpdNmxKr2D6qXe4lKl enm7td8b4qwe8i0AAAAAZFzhzPsi8ub7trPRs6jrodI8zcrDt04S+RYAAAAAss5jZaj2i68bIpWL eq/BFX/7WetRSb2k8gGCyLcAAAAAkHn6VrMijfVib73k9s7V9YZUmlu6SC/+rn9pnTmQfEXETrj2 Vgoi3wIAAABADuhbZmu73JtMax0K10q31pnNSm+mbWK08OAAAAEASURBVHG9UWmenmcrrN2siIx6 UKEp0kzTFBFN06Qq5qbpsUVN82wHAAAAAMBF07oxc8p+Ov6R+i0AAAAAIAsmyLeaFl03AAAAAACY CPVbAAAAAEAWvDPOhajcAgAAAAAUM1b91jQlienCAAAAAAD4YXwyAAAAACALQuVbraZpNcYkAwAA AADUFWr+Lce/BQAAAAAorq9+S50WAAAAAJBSffVb6rQAAAAAgJQKGp9MLRcAAAAAkBZB60uZmyYV XQAAAABAKnB8IAAAAABAFoRaPxkAAAAAgElommaapqvF+mOw3WqxNnD+7bm9jXwLAAAAAIiXM53a 7JjqjL72ls6Ua/3hF2ui7ryEAAABAElEQVRtjE8GAAAAAMRraDS1DNZ4R0K+BQAAAAAkZrBOG7Cl Zx3YxvhkAAAAAECUnPNmh27p3Mw5ONm1pedgZpfT+i2HAgIAAAAATM40zaGVWBlIqmaPhB7P7EL9 FgAAAAAQL89AK/5LKFstnusnB0Rf8i0AAAAAIF6uUBpcpLXbXdXdodfC+lIAAAAAgCwg3wIAAAAA soB8CwAAAADIAvItAAAAACALyLcAAAAAgCwg3wIAAAAAsoB8CwAAAADIAvItAAAAACALyLcAAAAA gCwg3wIAAAAAsoB8CwAAAADIAvItAAAAACALyLcAAAAAgCwg3wIAAAAAsoB8CwAAAADIAvItadCd FgAAAQBJREFUAAAAACALyLcAAAAAgCwg3wIAAAAAsoB8CwAAAADIAvItAAAAACALyLcAAAAAgCwg 3wIAAAAAsoB8CwAAAADIAvItAAAAACALyLcAAAAAgCwg3wIAAAAAsoB8CwAAAADIgneS7gAAAAAA IPs0TTNN09Vi/WG1u07aLX4nB5FvAQAAAADxsrOrkzO4mqbpOmnnYc+T3tcydIuADsqoFwEAAAAA ZJpfugzKpf1njZdvfzr+Mfr67ThRGQAAAACQS84I6RyBbGVaCRyQ7KLq+lKaJl7169S3AwAAAEDW aZrmOSDZc0tnfLVGKVuXtQcth9yVKJpv7d67bkba2wEAAAAgB7uFF6MAAAEASURBVJyTaT05E2yE 18v6UgAAAACAePkFWueaya71k13jk8MMV1Yy35pmt/Lp6nfa2wEAAAAgl1yh1I6sAduE2cBFyXwr jog42O63fSraAQAAAADxUHL+LQAAAAAAIyLfAgAAAACygHwLAAAAAMgC8i0AAAAAIAvItwAAAACA LCDfAgAAAACyYIr51vN4PwAAAAAARIH6LQAAAAAgC5LPt1qNui4AAAAAYFLJ51sAAAAAACZHvgUA AAAAZAH5FgAAAACQBUrkW62mMQsXAAAAADCJd5LugIiIuWn2neZIQgAAAACAESlRv3UzTTHN4ZsB AAAAANATZf1W69VdrT9MMioAAACREINIAAABAElEQVQAYFomy7dWoO3lWCvQaprmTraMNwYAAAAA xGyyfBuyQmttRsoFAAAAAMRGyfm3AAAAAACMiHwLIM3aO8ua0/JOO+kuAQAAICHkWwCpZWxoxfVG X1NjvUjEBQAAyCnyLYCUau/cqYuIVJqmpbVdFhFpfP2inWjHAAAAkIwojw8EAFNUWNs313on2jvL 7lIuAAAAcoZ8CyC9SLUAAAA4Rb4FoK6XLwPObBvVYtXontCrZlXfqerrhsjJvwu+IIC0On8+6R4A ANRGvgWQUi8MQ0REr7aqeiHZrgAAAEAF5FsA6WQcGd2/CgMtAAAAUI6maaZpulqsP6x2v5NWi+uk 51Wwda5G+QAAAQBJREFUfjKAdNLndRERMYwd6//Vaj3B7gAAACCAM53azB7rXNdJZ4vnyUHkWwAp dUHXRUTEWNd1TddLRu8Mw2gn0yMAAAD4CAilESLfAkipgl5tVXX7ZLlqmEa1LCJiPDcS6hMAAABG 5Ry3rGna4Ennlp51YBvzbwGkV0GvmoazQd83DO9NAQAAMDX2eOMwWzo3s2feOsche5703Bv1WwAA AABAlIJnyUovAAck1fFQvwWQFbomImIMvEWO2g4AAICo+QVa51JSIZdTZn0pAFlnhVUxRRfRB9sd fwS3AwAAIAaDKyE7G10n/S4ytCxM/RZAVlCJBQAAyDfqtwCywRQR3dBE+tiCB6IAAAEASURBVOu3 duh1pV+/dgAAAKQW9VsAWeeXYEm2AAAA2UL9FkC26El3AAAAAAmhfgsgE4yBPwAAAJAz1G8BAAAA AFlAvgUAAAAAZMEE+TbwuEMAkDA96Q4AAABguqjfAsgog4gLAACQL+RbANllEHEBAAByhHwLINOM pDsAAACAaSHfAgCi09n5zX0j6U6MInUdBgAA/si3AICIdHZ+89n6t0n3YgSp6zAAAAhEvgWQD3rS HUi1zs5vdE2/v3Ff13R940BExLiva7r1r1v/bD//1+vfisjjkq5vHAxexGrp/lt+3rH3Prgrr8bu Dnee/6bbfv/gdJv7ByH29pud5/e7Z/3medurJdv0AAABAElEQVTd4djuPAAAMDXkWwBAOI/lrGEa xtaSGPf10uMPtx8ZpvFo+8PHJf2+IVK4+L9sfyginzYNY2tp8CKfrX/7adMwTMNofiqNrX+90xER aT//TW9XdyvyuPSb523x3r+1w6O/+p1pPNr+UOTxjTv/9SPTMFobH8rjG3bq9rmgiHz7tax0t/92 68sDzw4DAIA0I98CyAeDEu7EPpz/59YfB88fi3x4/sKciMyt/eJTkcfPveuf9kVEv2qYxtXC899o ul56LCLfHv2tiHRevPy2t6ulLcMwf3exELT/Ty8uicjcmaKIfHj5v5/rv7rgjnW3L/xVUUTe/E1H AABAxryTdAcAkuRnhAAAAQBJREFUYFqMpDuQdsUzVpzs/M0bEfl2q6hv2ee9+ZuOeJRAexfpVlZF PtxoGb9rW3+LiPzt0bciH/ZfyHv/fzs/tIO+HZvzvwwAAMgQ8i0AYDRzf/W+SOPDjdbvLhb6zgio iB48fyzy6V3z6pKItEV6pd1/Pv+hyLf/ti1yuivv/Xd2Xo7dMQAAkA+MTwYAjGjp4qci37580RGx l27qSG/YsL/Hrw0R6Ty/czo+ee7C+Q97o4g7O7+xVn7y2//YHfMzrMMAACBdqN8CyB+dscoT0q8a TdFLn+nrIiIfbj/63dqciIh+9lN5/LikPy5v3L3cd4mlrbuf1m88LumPRaSysSFbWzJmbBkAAAEA SURBVNbI4cLF3zX/rV66oddFRD5tGhcLIgWP/Xd2JuiY7/anHX60f5FhzMowqlrVsE+Vq8a+nlhf AABpopmmKSKa1v0jgj367UrTxKtdq2nm5gjbA8iPl0MHpPbTDc3Qw71v6ERcQE1to1p0hNsuvWpW dTl/3uMCxoZWerPd2l8r9LfVK01zS7f2ubNcXG9UmuaWbv3Zt4Oy48K9s08va2xopbpz89OzAADe IkyXI/np+EfGJwMAAGUYV61wq1dNwzANY1u3mg2/An77+zdSvnyhMNK1VJrmKUcybr/4uiHlclnq zw3P7Vvb5XpJ2zAEAKCk6eZbTRNNm+o1AoAnI+kOAPDlnIfcAAABAElEQVRgVKsNERG9WdWtljVd F9GbRnXN5yLto4a8f6YQydW3X3zdkMrNm++LvPm+7bVFYe1mRaR+Z8fzXABA0qabb03TOeRYq2la jbg7Fr9fCtLSDgCAh++t/+l6wW7Sq6bRC7sejOd1qVz0P38UVry9qOsXK9L4+kXbcyP9YkWkceR9 JgAgYUmOTzY3Te+ZtwhmJ0ZXdExLOwAAEWl//0bK8wXP8+olrcs949ZxlqYt92qx1uDk+YJIYb7s H3BFxLe8CwBIGPNvAeSbnnQHAIyv/eLrhu/k29NJtq3tst9Zp9NvrXh7+UJBpHDh8rCACwBQEvk2 hewx3q5FydLSDijFIOICNxPQZAAAAQBJREFU6jhj/c8w2qdtxrKu+y3oFOHk2/aLrxvS21nhzPsS GHCjmvELAIgW+Tad/BJj/wxnddsBpRhEXEARerVaFhExSr1DBFkrTtWrnhE3wsm3Vry1By6X6uIT cI3ndfEdEg0ASBj5drpYnwlQk5F0BwBY9PvWYlJGVdN1TddLhtVcvaYPbBs0+XZEVrwtb7f6hjQP Btz2zp26SOWm82C7AICQtIFoYy+GEOak3RJwFeTbKWJ9JgAAhijoVbN/veRy1TCrjhWVewIn3wZz ri+laRtGN946dla4cNkKuN/3bV9cb1Sa5pbut2MAgB/PXGovhmCdG3xS0zTnSe9rMU3T3jSqfghY 5RMAAAEASURBVHvvStM8h6pqNc17FWWf7X3b1ed8GJw3YdR2+9yU3g9AaC9fjra9bmiGzusCyKzz 55PuAQAgBL9IGJA6XWd5nrQb/fbz0/GP1G+nyHowqqzPBKhKT7oDAAAA+ePMq9ZwGb+TQ5Fvpyuq daEAxMEg4gIAAERg6ERZ55bO+OoagTx0QLIL+TYBWk3TagOPEJNsARUYRFwAAIBJWbk0YAPnlNoI r/edCPeFkNzzjUm2gFKMpDsAwKZrIiKG1yIU4rM4Be0pageQJ36B1lmqdf7tOsu5QUAkpn6rAAYh AwAwyAq3YoreP7AiquMR0J5sO4CcsRdDtk86G10nPS9itwRcC/X9umbhAAABAElEQVRbAACgqsHK LQAA/jg+0LSNfHt9d5Tm+4HxUQhnjOMDxdMRAIkxqqJXk+4EAGAk1aAhxPH56fjHKdZvCRWwOMcp eR7vd8rtyJYoj3+rMxcXSJRuvQY1Qzetvzn+LQCkglZNrOTA/Nu4eKyQDCBdDNZSBgAASJPo67cx VqJZliAbTNN7nHBS7VDYyLWayMs7PFmABNkvwPO8GAEAoaRqfSkrlpByM8COmoPtftvH2g4ASJx7 UgmZFgAwMsYnAwAAxRBuAQBjUTvfahrVWgBK4K0IAABAeWqPT2Y0KQBFmBSUgCnitQYAGIva9VsA AAAAAMIh3yov5SO0OU4SsoOCUjKMRZv+jQAAAQBJREFUDc1leaftPGvD6G7Z3lm2Tw5cyt4KAABk F/lWYUw/BgBLpWl2NSvSWL/aS7giIvU7zlOel2ptl+slIm4K8KEHAJhM8vnW3KQm4sM0mYEMAP30 ixWRxtcv2qdNjfUvjeALFdZuVoKCMFTBhx4AYDLJ51sASBlKTEqpbG+X68+NIVtZsfioPYUOYSy8 rAAAUSDfqiQnA5JzcjORYSbfxRNkPK+LlC9fKNgtZ9ZuVkKWZt98H2YrJGH0yi3rOwAABpFvVRLJ gGT1oqNW0/q+hSg47tovcme1HZMj4k5ZvdRbJ6pUL2+39tcKznP1a9sydIwyVEEuBQDEh3yL2Jmb ptKzrGZ/DTgAAAEASURBVO0E6IqCWW3HUCF/LzBH3H5q7ZlUaVqrRImIvH+m4D67cOFyuf78xdDd eFwULlN43vpdLwAAEyPfTorfoYFMUe33CH6/cCis3d8ui9RLywODkQtrNyv19fWG72WtYc3zhTj7 lwHTf95qgdsDADAi8m1ekMN92YOlXaOms9oOpFg34XotmKxfs6q7nto7d+oilZv9w5qRGK3KpxIA IBbk2+lxT0N1IYQkyO/O95sqnPZ2BDBNEdGqI/2OYPq0+20fZ3vmWUf6kXpp4GC2hQuX3QHXnrVb XG9UmuaWPpUuptk4z/9x2rvzVrSBZaUieT5TBAaAHHsn6Q7kiDUHlV+sAdUfNdiwAAABAElEQVSZ pni+TgO+efv9vhB+4wjbs0bfMs0tn9N9ZxXW9s01v0shrFGf/2O02/s3+zcmlwIAJkb9NkZDCrYj 7CjOVWT4PgFMiLWUAQAA1ED9NkaRLRrs+hWcRBqCVtOUXrQZGcNzDQAAQAHUb1OISZUAcq/RaNy7 d+/k5CTpjgAAAIWQb6EYqtMAQviHf/iHvb29YrG4t7eXdF8wCt7jAQBxIt/mWKzTelOE+wER4qk0 Fe12+9q1a9evX3/48OGDBw+KxeLTp0+T7hQAAEge+TZH3OtdRTrOOcXrQo91P1h3psetJirnHGtN xa/dbpdKpc3NzStXrui63mw27969W6vVlpaWVrPUvAAAAQBJREFUGo1G0r3DMEyvAQDEiXw7bQku etQ93iAiwv0JTJ8z3NqNly5dOjg4+PWvf3316tVSqWQYRmL9AwAA/rSBUpDW43nSbnGdO7gfG/kW +eJbdwWiwo8esfEMt7YrV660Wq1PPvnkF7/4xcrKyuHh4dQ7CAAAfHmGUrPHOtd1UtM050nnBn7X 4s63rkwcJiIjX2I9Eu9UnmYj1V1HyMPM4wXiFBxubdevX2+1Wh999FGpVFpdXW2321PqHwY53xJ5 dwSA3AsIpRFy59vBQDw0IgPRUPW4R2HzsKr9BzLg6OgoTLi1zMzM/Pa3v221Wu+9997CwsKNGzc6 nU78fYQ/jXENAGrTarEAAAEASURBVIAgVp3W/tt5cnDL4Mqr9/jkgD0iL0YvRY487jedBU+GNyMs niYROTw8LJVKt2/fDhNubbOzs9VqtdVqicjCwsKtW7eOj4/j6iICEG4BIJfCDwF2ZU/XgGQn1+hl T8Pn36ZlcDKRI3GuOufwHJjOgifLSqVSIm9irKUchcPDw+Xl5d3d3c8++2yMi8/Nzd29e/fg4KDT 6RSLxWq1enJyEnknEYT3SwDIpaFDgJ0zbCO8Xo9867yOMBEZ8EQOBIi4E7LDbblcnmQ/hUJhd3e3 2Wx+9913xWLx3r17UfUQAACEZAfawfbB5Z+sQGrlUPuk61xPOVg/mWSOsTAOGdHgR547U9u3AAAB AElEQVRxRRVubYuLi0+ePHny5MmzZ8+KxeLe3l4kuwUAAH6cyxV7zrA1HcR/NSjn38H1Xo/1k50X CBORoYp0TmdVSP8dSP0ZSFDk4dZ29uzZZrO5u7v7xRdfLC0tPX36NNr9oyuSjyM+1wAg5aa/erHH +snBHYJCXB/8UU1nzej3iWjnAxN9gfjEF25tuq4fHBxsbm7eunXr3LlzhmHEdEUYTUyfawCARE2z XJqD8ckZFtMHf0a/T1CPRcIy+KtRLAzDiDvc2i5duvT27dtf/vKXq6ury8vLh4eHcV9jXoy9ZnJG P4AAALa4Vy/uy7fOqb3Kttj/pT9R9cf6vTym25Xk/VPTQZSA7AAAAQBJREFUtJpK/aElVa8LWhJp aTQapVKp0+ksLy9P7dpXV1ffvn378ccfLy8vK3VvpLhFxrmU/d/xr13rln/VujdooYUWWvLX4qRN d/XivnwbZnh04i3SP4g6v/0xTc9txuiP9Xt5TLfLdz/+08Qja9k0zc24bhct6WoRFR733lrKid8b yrY0Go3V1dWDg4PpX/vMzMz169ffvn27ubk5Ozt75cqVTqej2v2TfIumxXpd9n/H30/vw0WVe4wW WmihJa8tCWJ8svLifqKo8UTEVGk+U6zT3q4+Xm3+rHC7v7+/uLiYVB9mZ2er1Wqr1ZqdnV1YWLhx 44adcgEAwBi0qa9eTL6NAJm4L9AAAAEASURBVAeSQZo4B/JlqR1ppkK4tc3Ozt69e/ft27cnJycL CwvVavX4+DjpTint9BNw6i9KPn8BQHGuHDuFSi/5NgKuhYsy+3E7VtGMJZ0ABFMq3Nrm5ubu379/ cHDwxz/+cWFh4d69eycnJ0l3Sm1aAiMUWDgQAOBCvo1ed9pnBj5xtTwdpyHDN83FNEVEqw7cZOcE tjS2p0sWfwEbj5rh1lYoFB4+fLi/v//y5ctisbi3t5d0jwAAQBDyLfxlO9CGk4XfKQb5Pax+j3ha 2lPEJOKKiOzt7akcbm2Li4tPnjx5+PDhgwcPisXi06dPk+6RklL+ogQAZAP5FgCQgL29vVqt9uqQ /znWAAABAElEQVTVK8XDrU3X9Wazeffu3VqttrS0ZBhG0j0CAABu5FvkSzbrsUijfD8TrXDbbDYL hULSfRnNpUuXDg4Obt68ubq6WiqVXr9+nXSPAADAKfItAGCq0htubZ999lmr1fr0009XVlZWVlYO Dw+T7lFyGGkPAFBJpvNtpAfJzOaSyFmU2fWrgUzIQLi1/epXv2q1WufPny+VSqurq+12O+keTV0S ayYL7/MAAH+ZyrfuD7wMLEKjpkh/OJiQ9aA7H/eMLF6N/FDlxTQNWQq3lpmZmevXr7darffee29p aenGjRudTifpTk3LNMNt/+cO7/MAAD9ZyLd2vOEDbxqsXw0cPxwk/ZlVegAAAQBJREFU/jt6Oh53 ZX4RgHJys5byvXv3MhZubbOzs9Vq9e3btyKysLBQrVaPj4+T7tREQr2xB7zvRv4zKD9YAwDCyUK+ TUe8yS7uf2BSOYi41Wr1wYMHr169yl64tc3Nzd29e/fg4OCHH34oFot//dd/fXJyknSnxjTpGztx FACQkCzkW+QBU62QcZnOAtVq9dmzZ81mc25uLum+xK5QKOzu7r569eqbb74pFov37t1LukdRGFaP 9a33qjSfBQCQB+nMtwl9XiY+EFdllHCRMbzeo2KH29nZ2aT7Mj3z8/NPnjzZ399/9uxZsVjc29tL ukeTcdZjvV4WvvVexeazAAAyL535Niuv6z4AAAEASURBVKGBTwzEBfKD13sk8hlubYuLi81mc3d3 9/e///3S0tLTp0+T7lHCeFkBAOKWznwbq9CV4bT8Dp2WfgJKs4aNxD1yJFuv1JyHW5uu669evdrc 3KzVaqVSyTCMpHs0gYQOCAQAQEjk2/Gp+zs0x1FQCtPPkhXV/T+dYSMZWmiKcOty6dKlg4ODzz// fHV1dXl5+fDwMOkejSWKF0FiH0m8FQNADqQw37Ik41AsXJksV6BK18OR/u9/qT8OdiYi7urq6h/+ 8AfC7aArV668ffv2448/Xl5eXllZabfbSfcIAIBMSWG+BRSXukCVLVkYsJDy7q+urnY6nRHDrbGh adryTjuREZujAAABAElEQVTg3K4NI5JeJmdmZub69eutVuuDDz5YWlq6evVqp9NJulMAAGQE+RZA fjE1PXJWuH3y5MnMzExEu2zvLJfqUmmapmk2K1Iv+cbgNJmZmalWq61Wa3Z2dmFh4caNG8fHx0l3 yh8vFABASryTdAcwDX5f4q32wWKXVtOk6lFDCto+ovaUF64YP49ciyHcikj7qCFSuaiLiOhbprkV 3a4TNzs7e/v27V//+td37twpFou//vWvr1+/rtygbtaUAoBIfam9cZ68Zr4/2BJwWetc+yKuk66L uzYbulu/Cw69Oqsl+Fqmg/rtpNQfCWmHW1fKTUs7kF+peinEE2576s+N6Heqgck9EQAAAQBJREFU irm5ubt37x4cHPzxj39cWFi4d+/eyclJ0p0CAMTomvm+/c+vZZArVVr/7GDpeVnXZkN3O3T/nldn xePga5ma03zrGSr8Di0zhXbP7o6xvWc7ACBCcYZbfatZEamXgiboZkGhUHj48OH+/v7Lly+LxeLe 3l7SPepx/oqblgXh09JPABjF0OroYBk2kt1GeHXawJuzvcCG50m7xe/koL76rSL1OuqB0bIrzK5S c1ragfxKw1rKJycn8VZuxRqVbDYrIo31YhZWmAqyuLj45MmThw8fPnjwYGFh4enTp/Fd1zgfjv3r 56l7fHXXOn/EXQCK+VJ7Y/0LaAm5nzAJc7zcO0So14EAAAEASURBVHhBv/1Ylduh1+KZS80e61zX SU3TAk56Yv5t5njN//RLjCq2V/kKAjio/WvPycnJysrK3NxcjOG2R98yza32znJxvX5n55q+Voj1 2hKm67qu641G49atW7Va7e7du7quJ90pDxH/HBnf+gXWnom4AJThOZB41J2EDJ8xhVvnSees4IDr Cs6lUemr3ypSr6MeCADqs8Pt7u5u3OG2p3DhclmkcdSeyrUlrVwuHxwcbG5urq6ulkql169fT/Xq CYMAoLChqdUqBY8Rbj0vOHZIDskqzA6etCKx69xgp/VbzxCoWh0vYHvPIVIB9UCtppF7AWA8znAb 7zUZG5p1eKAtXaTNtT4zAAABAElEQVT94uvTxZRz4tKlS5cuXdrb21tZWTl79uzt27fn5+djv9ZI 1kxmPXkACM1vAeTBbTyXUA7In0OXUPZLwgFLKLs2dq47ZTfa4409r9TJL9w6/w4fcRmf7MDIJQDK UukYLXGF28Z6UVu3T5W3W/trBdG3WttviuslrW43b+lRXms6XLly5bPPPvvqq6/OnTt36dKlzc3N QqEQ4/Up82QDgOwZe3CyK1KG2WeYPXvuKnj/YW7C0DhqRdaAcDsehY8PNP3ffV3LUQCAOpRZayqe cKtvmW77vSm2hbV9r+bcmZmZuX79eqvVeu+9986dO3fjxo1Op5N0pwAACMteI2qw3W8JMo45RgAA AQBJREFUZdf45DDDlU/rtyocrWgiVZ9jN/ndtIi2R7TC3///U/W/s/5IxePle7uSMurzPy2iel0r e/8kHXH/k/z5f5Pr/6X8V/+j/K9f7qX5qZJm/0wu/8+i/1/3/vf/5t5/W5J/WZJ/9Rfyj8fZ0Yjv q0k9/6P6HE/+9QsA+eYKpXZkDdgmzAYuIw9oVpbvfFpN86zKRrY9ouV//1t/uB6F1DwuPrcrKR73 m/1bmkr9HFVUr+tR95MTx8fHy8vL8/Pzsc+5RTidTufWrVtPnz69efPm9evXR13la+T3VcWe/yP3 U7H+A0CGJZUufzr+UeHxySNKR8jBBMxNk0c5RozPR6Dj4+AFZ+cAAAEASURBVONSqfTxxx8TbtVh jRI/ODj45ptvisXiV199Neoe+t5Xkx4dMCo+EQAAg7KTb+Oj7vHrgQnwxEZ4Vrj95JNPqtVq0n2B W6FQePLkyf7+/rNnz4rF4qNHj5LuEQAAiSHfetE051rKlA2RSTyxPaUj9k+3g9MOt/3vwOlrT8ji 4uL+/v7u7u4XX3yxtLT09OnT0S7vWKDb952BIR4AAOWRb70wUBPIDVegTUfsn+JaygmEW9cf6WpP mq7rr1692tzcrNVqpVLJMIywl1T+WQ8AQBjk27BS8JUXwOjSEWgHTSXiMiw5pS5dunRwcPD555+v rq4uLy8fHh4m3SMAAKYk1/l/jrbBAAABAElEQVQ2HQMRgQnwDM+ymFN5p9NJINxaS/pXB4bC2icV b1fJlStXWq3Wxx9/vLy8/Itf/KLdbifdIwAAYpePfOszSyqtdRtkiWKDGwFLu90+d+7c559/nkDl 1i8x+s0cUa1dMdevX2+1Wh988MHS0tLVq1c7nU7f2bwDAQCyJR/5NiXfQgBABe12u1QqbW5uXr9+ Pem+IAIzMzO//e1vW63Wu+++u7CwcOPGjePj4+55fDYCALIlH/kWUEEUq61q1HsxKNInhR1ur1y5 EuV+kbTZ2dlqtfr27VsRKRaL1WpV/nPSfQIAIGrkW6RbmkaYxzqOgNyLKBBuM29ubu7u3bsHBwc/ XpNjBQAAAQBJREFU/PCD3JN79+6dnJwk3SkAACKTx3zLslJIwIjJlqcoRhDRWsqE2/woFAq7u7vy L+Xly5cLCwt7e3tJ9wgAgGjkMd+yrBSAYOl7i5i4v4TbPJqTJ0+ePHz48MGDBwsLC0+fPk26QwAA TCqP+RYAIpby8eGHh4fnzp1LQbhN+f2siv578ezZs81m8/79+7VabWlpyTCMZHqlIJ5vAJBCOci3 rJwMNUWx3FSo62FAPgIdHh4uLy/v7u6qHm4RCc272q/r+sHBwebm5tWrV0ul0uHh4dR7lhjeIQEg S3KQb5F+fl8+/JJbOtqnddgqBuTny4hf1O1wWy6X4+kQVOITbm2XLlhCk/wAAAEASURBVF16+/bt 559/vry8vLKycnR0NK2eAQAQDfIt1NNf2LSToSsipr09KZRzLZm9H6y1pux/gQi3uRPul64rV660 Wq3z58+XSqXV1dV2ux1vrwAAiA75dgDjmZNlVTV5FGKT33Ju/+8mWb4fTMc/p/574DTcLi97D5X3 G0IfdzsUMDMzc/369bdv37733nvnzp27ceNGp9NJulMAAAxHvoXq7BDiSiNpb0+WUp2Zkpz8bqL5 /a05/+gLt64NvLafXnsGZCjnz87OVqvVt2/fisjS0lK1Wj0+Pk66UyHk4ZUOAPDxTtIdAIbzC2Np bwcS8fr165WVFYYlx8KZ250pa9T2iHs1nCfwAAABAElEQVQ10RGkZmdn7969e/PmzVqtViwWNzc3 f/WrX83MzETXPwAAIkP9FgCyxbMe2MtOjf39lZWVhw8fdsOtnalc4Sqpdqhqbm7u/v37BwcH33zz TbFY/Oqrr5LuEQAAHnKab7O5Hm+Gl8wBEJLpnxhNs7G/v7q6ur+/r+u6s937Ikm1p5qCOX+y4q1L oVB4+PDh/v7+s2fPisXio0ePIts1AABRyGO+VW0d3ayu0wuoL+NDx82+KbiNRsMKt4uLi8n1KQf8 f19IJufHsO/FxcX9/f3d3d3f//73S0tLjUYj+usAAGAsecy3AJAXvYhLuEXkdF1vNpubm5u3bt0q lUqGYSTd/DTTLgAAAQBJREFUo+gEL/ql6npgAADJZ75VbR3dbK/TCyBhJuE2naZwfKYoXLp06eDg 4Je//OXq6urKysrh4aHz3JOTk0iuJW7u2T2ZHDwPAPmgmaYpIprW/QPAVPksmqrVNM/fKXxfqiPu Z9T+pIXv7Y3qdvntR7X7zdGfNIbb2B/HuE3eT60/a43Rbk27Ddxeq4pZjXLq71dffVWr1XRdv337 dqFQODk5WVpaun//ft987wSN+j45uL19f6bieQgAyUkqXf50/GMe67cAkBOPHj1KXbhFBCJdUyq8 X/3qV61W66OPPlpaWrp69erx8fH9+/dXV1fTcdTcMKjrAoDyyLdAygXPE0PcFKZu0hwAAAEASURB VL7/9/b2bt269erVq8XFRVG0j+kW42J+1tCqavqOzzQzM3P9+vVWq/Xuu+8uLCz84Q9/0HX96tWr 0V7L9Cj8AgeANNIG3lS1nuCTVovrpCfyLZAOrhf26RnUE8KI8C5yfd9V9f7f29ur1WrNZrNQKIj0 FppK7zf1HMaMgHWY/dpPU6tPe5j9RGF2drZarb59+/bk5OTp06ePHj3a29uL7+pipOoLHADSyDOU mj3Wua6TzhbPk4PeiaHnAKLHVHlVpOH+3xPpC7eW/sMFpUx3Tml6b0DuuL7E3LhxQ9f1vickACBn nKk1PuRbIGnW63wgNVlDH0dYHcpnP8ibvb29mogYc4P1AAABAElEQVQ73KbNyM9/KMb+Je7w8DA7 828BAPFwlXCcJ+26rufJQeRbIGn9r097Rt/I3+x99oNc6Q5LFkl1uJX0JttkK8wJLSsVjLXNACCf hgZR55Z+4dYZa53DkgOGNDL/FlCLuWlG8s0+qv0gRU7n3Cbdk/xKcLqmkuHWE8PMASAPgmfJSi8A B4Tb8ZzmWz5vAEBNYarx1Wr1zp07YYcl84YfEa2mKTFWIjDcKtFDAEDu2YF2sN1vCWX7b3slGudJ T4xPBoDUq1arz549e/Xq1ew/+SdJ9yVfVBkloUYvwtA0Mc3ufwEAueIKpdZJz8aQJz2d5ls+bwAg Xbp1OUMWjxebzebsMdkjiwAAAQBJREFU7GzYdYbNNA1nBQAACIn5t0Am+Pw0pUpxCbHZNDdPw+1I eGoAAIDM6RufTAkXANLEkGfHz7zDLceLyoPQRXjVjrfE9w0AQEyYfwukyYQLyiFLqtWqHEnzrU/l 1vVUSXQJQa2mqZOs0s3vcbTbww3lSGrFqYxn2ozfPABIB3e+5SdVAFDfjRs3DMOQKxJ2WHLAvFwm 4qaI83F0PnAh513bm2+akvS6ynzfAADEgfm3AJAyq6urR0dHzWZTZqLYncnhghI2Ts7UNB42AAAG eYxP5idVAPCmwDvj6upqp9N58uTJzEwk6RZK8503q8BTEQAABTH/FkiMVtM8v6L6FXP8vhf7JLYA AAEASURBVOlG2B7Qn/D7QXziCrc8hqrK0utr8Kdzfk8HAETOY3yy5hj1pDlMt2NAxtkh1pVm096O +FC5hQijkgEACOKu32qaZi3Qav+kynqtAJA4wi1EemtKEXEjMv7Pcxx/CwBUxfpSQDLsYYeu8Ydp b0efqEa+PJW9/3uv8T80Igi3mubRK7uF4KSyLK50bQ1Rnp7+57+5aY75DmaafeHW82UFAEiCx/xb ayiyaZrdAxD0Tk63Y0D2mZumbPq0+20fd3vV4yvaqPtBhE5OTlZWVuRE/uP/+x+jqdwGv5mb2QxR GRH14zLNl7Aq82xj6sSIx2cCAMTHc/1ka3yyJmLasdYetwxHMCiUAAABAElEQVQAmA4r3M7NzclZ iWtY8uA3ciIuAABIraDxydMeNQQA6LHD7e7u7uC5Wk2LZmUv1zDLbmMEO8ZIRntAs/VzM182ACDb nGsVT2H1Ynf91jTN/gHJWm8NhUx9mgKAyoLDrfRGlrJ4dWa4hgq7H9mUV9QzPjgZAOBvcBRw3LnS d3yy/bcqH0sAkA9Dwy0yr+/3i5SH2zA4EC4AICqsnwwAClEr3FIeTlwS4ZbRwgCACLlGI8c6OFlc +XZwMLSmaVZz8Da00EJLNlrs/7q3GZg1oU6fs9RyfHxshdu9vb0wlxK/x2vElqj2E1WLav1JskUi 2k+iLRLiVoTZZtotPA9poYUWfT2k1AAAAQBJREFUWsZ/5z9lmqZzDqzzZBz6xicPDoYeHJ/suQ0t tNCSkZb+ORKnf/feg5LvoZotUdw/x8fHpVKpXC7fvn17sHjr/f5ci+jx8nvcRaz64YT3jz2bNOSl IrtdMbeMervi3k9U94+mifXRH8k9pmmhH/e0fN9Q7HlICy200KJgS4IYnwwAybPC7SeffHL79u2k +9JPoQ8sTIPGPFgAQHRM07RKu1YGtiu98UVi8i2AQNrp4GTExA631Wo16b6kU0qeoiOsd62JiHtR ZQAA0sg0TTvNmj3xXd3wfGtyYDogV1yB1vQ6Piqi4wy3HO8Hk4roB6lEPvr5vgEAmJzH8YEA5Bpp dl77Bf4AAAEASURBVIrSVLnVGKs8LZPc1Yq9fhntDACYMvItAEydpolppinciohJxI2ed8U+ujt5 khEBZhLHpE3kSgEAWcL8WwCIwojjQtvt9rlz5z799NN0hFtERKtpzsxpbpqxTrIddf9kSwBA2pFv ASAKo0xUbouUSqWbN2/+9re/jbNPAybMLiSficUbaDORTZmFi+gYG5rL8k7bb4MNI5lOAogY+RYA YuBfzm232yWRzc3NK1euDN9Nf7kPWabe4zxh1KQaDCVUmr3lWpsVaaxftRNue2e5VO+e3axIveQK vwDSiXwLADHwKee22+1SqbQp4hdupzx+NVojR3HqdLbMzW2e5LGlhIsoeZ73AAABAElEQVR46Bcr Io2vX7Stk+2jhkjloi4iom+Zprm/Vkisb0BeaAPv7/YgijAn7ZaAqyDfAsDEwlWpuuF2c/NKwJ5S EWjJHpFT/jEPyRq4YFVuKd4iBerPjaS7AOSHZy61j4hrnRt8UtM050lPofItv6QCwIROw22IYcmq M4m4GeQ5nDj8FwBnrJ082fLFAzEwntdFypcvFKyT+lazIlIvDU7LBRAPcyo/fFK/BYDYHR0dZSfc WuOQibjoSXvBNgUjJjCJeqk3vLFUL2+3nIOQ9S1r6q001ousMAUkyirMep60XsDhszH5FgDipGmH mlYqlW7fvj12uFX0+7cKnRrxsEyIXHzJdu2TnAAAAQBJREFUlhIuolFpmqbZ2i6LiLx/pjBwvr7V O79+hzIuEKGhE2WdW/qFW+kNUQ65KyHfAkCsDg8Olufmdnd3P/vss6T7kkXpLRpa0pDfAnImKyQj LQpr97fL4r9GcuHC5bJI48jzTABjsXJpwAbOKbXOxgmHMZNvASAuhyLLy8u7u7vlcjnpvihm7Lpr lgq2KV8zeQrhlhIuotNNuI31Lw2rwTr2bXdMcvvF16eLKQOIiR1oB9v91ky2/7ZCr1XIDc7A5FsA DimpxaTikLCHh4fLIu5wm6V4Zgm5+JDrQL5j113TXrC1KRZug8PqYM6kcov0KazdrIhIvWRlWn2r tV3uzc4trtK0rU0AAAEASURBVDfK260tPdEOAplnL4Zsn3Q2Bp907STgWt6J8RYAQF4dHh4uLy/v irgrt9Y7cpYirhkqqik6hThB07o//H4MstoHHxe/dqlqWq3b7gy3o+5nkusV50unGu/1BrR7PnQB 7Z77wVToW6a55X+6sLZvrk29UwBiRv0WACLWDbe7u3kZlMxayqqyw60r5U7SPhhuo91/wPWermVV nd71xtEOAIgP+RYAotRoNPI455bqVG4kNSxZnZHpWjXpHgAA/IXNt6zxAABDNRqN1dXV/f39brhV 5Pt4bin4ueXVo/gGr9p7dl1FZtqlqlZ/QrYjQdaqUhzrFsgw5t8CQDTscLu4uJj96kAzAAABAElE QVR0X6Cqqcccv2TlbHcOOQ6zvTrtg6XUJPtT9fj1gmQLIDzXXAZz0xxsGdy+7/28po2wwEH/Np47 ty/oOjl4KXWWGyDfAkAECLddii0LDABAigzmQ7/EGJBIPTfzjL4BF3QGV3PTdJ10XSrMtUwN828B YFLKhVvGRQPAEO2dZfvImgxXRhaMHSzHu2DiOdYP9VsAmIhy4TZZ4Q4XBACJqpe0ev/JN9ut/bVC Uv0BugaHAXsODHaeFZwz7UHO48VRVz3Wrzw74bVEi/otAIzv6dOnhFu35D/akBcsfokJVJqmaZqm 2ayIiEhj/Usj2Q4BImKNBHamxMEW11nBRyCzRxePRxZIUQAAAQBJREFUcaCykOF2wmuJHPkWAMa0 t7d348YNwq2TVtMm+Wyb8OLhryXuq+i/vqle26ici0sBuVHebm3p1p/6Vjfh1p8bifUHiN7YH3bW BcOHW9UwPhkAxrG3t1er1ZrNZqFQSLovCgmz1sXQi6vw66/TOB/qVlXRNBmtDSjp/TOF0xOF+bJI Q+TN923RC34XAZLh/Ex01XVdQ4I9c2mYkcOeF5SBodGeJ12VWxUyMPkWAEZGuA1FE9NUMa9Og1US JdwCaVA4875IQ6Rx1BYpJN0b5Fj4xZM9zx37ENyeFwzeeZgNkjJCvrVmuTCKCYAKEvyZkHAb1jTX mrLrpRPuJNoPud7O8intW5kAAAEASURBVJjwgfQpzxeS7gKAiWndH9e17h9DtibfAvmk2Ivfb7zo NFLEoYghckVkdvx9mFXRqhH1JwpJ9cfsXWnIa/fr52D7qHsO3v+oVHt8MR087unwf4r8PyIicsVR qrUbqwn0CMimqoRJl5H76fhH8i2AEBR78Qfk21grupFVbn3uz1H7H9ntHfHxHfX+9+3nqPeDXz9H bI+qP5HdruQo9soekyq3QpV+IIixoZW6BwaqNM0t3dnUawAwuZDpMnI/Hf/I/FsAWTCFyu29e/e+ +OILhiUjFGbeAqpzHQK3vH1NT6orACLE8YEAZIHfoeGiUq1WHzx4cHBwkK9w639o0VgP5KOu8IRU AAABAElEQVRakXMc6b8FQKZVmr3j3vZO7q8VEusNgAhRvwWAIarV6rNnz5rN5uzsBJNus2Xk4wBF Us9MxeBPVpKCC+OWVaJvmeZW7+/TPwFkB/VbAAhCuA1jeP3czE3wI8hMnXV8BwAAhHwLAAEIt1HK T8RNCcqKyC9N8/5RJKl2ANEZLd/yEymA/Mh1uI3pSxhpCkDi7Dc317tcUu0AIkX9FgA85Drciohp UtobjfP7KncdAAAJId8CgNvq6uof/vCHfIVbRs1NgqMBASlimiKiVQd+irJPTrkdQKTItwDQZ3V1 tdPpxB5uVcuTUy7YqnTTAeSO39tdQLvnWVG1A4gOxwcCkB2TRSkFcwAAAQBJREFUHzfVCrdPnjyZ mZmJpEu++r/ixHcsWUwD31eTZq0PQnAAAJBvAaBreuF2wOTJPGVYSzlppEEAQCYxPhkARBINtzlF uAIAAFEj3wKYgFIzSCdAuPWl2jxhAAAAf+RbALl2cnLyi1/8gnDri9VQ/Iye+nM3Ch0AgH7awI/m Wo/nSbvFde7gfmwj51trCQcAyICTk5OVlZWZmRnCbUhaTYt+Kaw0fqZwQCD18P0EABTnGUrNHutc 10lN05wnnRv4XQvrSwHIKSvczs3N7e7uJt2X1LAqkBFHXDOFcTFdvQUAQAHOmBofxicDyCPCLfKM xZMBAEqx6rR+J11bBodk6rcAwsCL3EIAAAEASURBVLHeSjLxpZhwq5wsPK0AAMApe7xxmC1Dhlu7 PWAb8i2AcFxvIqmd6Ea4VUgafy5J3VBqAACSMDTZWhk1fLgNiXwLYCzWW0/aUq4K4VaraZ5v29ak 1sEldv3akYBeuI1+kS1EwVpiSqGfTdL2DgkAsXIuGTXYLr1I7FpKylkHdm3pifm3APLi+Pj43Llz hUIh2XDr+mO89oipEwhUjgOOyq25aVr/Eu0QlMfhtQDAwbX0sfWH6TB40m7x3IMn8i2AXDg+Pi6V Sp988sn9+/eT7ks0/BKv3yF8xmifsIfjMBWNuFpN06pK9gxK0TRqtgCQLPItgMw6Ojq6deuWOMJt tVq1LzM6AAABAElEQVRNtkt2xc9V+hu1Pao6cMJ1Y09KRlyqtQiFgi0AJG2c+bfKzW8BAC+PHj2S scJtrG9x5qYpmz7tftun3Mg3IfW3WGl8ggMAMoz6LYDMevz48fnz5xWp3EYrqjrwqO2Z5TOs1G/w NpRl/QQPAMgtzV6KaqSFmPn1F8gXv9d8Qu8FWk0bmrsODw+Xl5fn5uY++eSTzz777PXr11euXAm1 8+wc6HdiPo+v3/0f5nGZKv/+W3+4e2sHI/tSmoip3u2aTOY/wRO7gYq9TyJY0PsAjxcwsckP8zOe n45/pH4LIJseP37c6XQ6nc7jx4/PnTv38uXLpHuE0cVWiPOdT8v8SSA3MgJEeAAAAQBJREFU3O8D LA8GZALHvwWQTY8ePZqbm7t06dKnn36q6/pIl2WVAXTxHADyI53HdQfgQr4FkB12KD0+Pn7y5Mni 4uLYe4ASzL6jzgKZwtsNAMSAfAsgg2ZnZ8cIt1AR3/+RPVQIASA2zL8FkCmTfG+kmoKu7KYPnuRK YJo3AMRmzHzL+vsAgGxiRDQix8JFADAt1G8BZAq/vmXWdB5Wr3CbpYMD5YGKbwIUbAFgWsi3ACAy MG5Txa/IOWdOJeKSQQAASDPyLYCsIZoCAADkE+snAwBSguIqgBFpte7vnUw0AHKCfAsgI5wDjK0S bvj5biwqm3f5WFOK53mqaTWNhDYe1/1mJ+bkYMcAAAEASURBVF4AmTT++GRGAAIAnPjyDUB95qbJ mxWQYcy/BQCkTbS/ruajeAtkG1VZABbyLYBsCj/GxG/QJqNU1BXtWsqEWwBD8XkApMRE+ZYvfwCA ZEzncEFAeExuBgAFUL8FkFlhfoNjxZ0U44FDKvAWAwBTRL4FAOQS5V8gcZrm/TPkGO1++4+wVwDS gHwLIMuYRhE5v0VctJrmeVZS7b2z/b4Ne5V/M11nY6gClGO/Nl0v0rjbRSR4vXfT7Hu1EHeBVJk0 3/LdEUB68Y1/VHaSdEXKBNvNqjnYfsr1PRX5wJcTRIm3ESBVqN8CyDjXN13rh/iQP8fzLVl9WrUb cUNtbBd7U/tP2ISVAAABAElEQVRllUoSssM0xZoo4EqP9smY2gFkGvkWQC7Ymdb6Id7+hyADd5A9 os81tC/Z9vAR19w0gwYlKsz5BEbGpfwHjNGOQ+v3hPZ7gw5oH2n/ALLrncl3YdU3eAMBoCzeoCLk lw8Tbt/0PDMLrLDjfA7zsQsAgB/qtwDUNVodABgqVU8o54gDwFdS9V7l68xDFp8DkARt4K1D6/Hb zHXu4MYu5FsAQD54rpmsNpItciv4+6v3RfoDbXrnIwBZ5fm6Nnvsc11p1nmu66SnCMYnC2OlACSN tyB0+YXYtIXbaJ/SvEAUNTj6HBOIJs3ycACxCc6lo27mJ5p8CwBZxe93GZGtR5CnxCIPNAAAAQBJ REFUZUbwEAKAiPQKs4Ptdtb1PNcT+RYAkCFm+kq1g8iuOaX8jNYx2beLpzWQJ+FzqV+4dZ4VsI1L ZPNvOUokgClgvRAMZ4r4L04W0O55VtrbkSZKLiYWwfMq2tvF100gJayJsgEbOKfURni9rC8FIARl vnKxXgjCOP1GrvWtmWy3u76yK9WuaSLV4ds7f1b22z8AAOqwA+1gu3NVZOdm1vhkOwO7TnpifDIA pVnf18m0GLS6utput+fn5999993FxcXZ2dmzZ8/OzMxY55qbplS1tA9UxthyMUV5WpXMUd+HQ27v +i47vIDjc3v5WQdIC9fL3I6sYTbzOzlo5AHNQfvK/HtZnkcAAAEASURBVAcJAJeIXvZaTfP8JuTX HltHEtg5xtZut9vt9tHRUafT+e67746Pj1+/fn1ycqLr+owx89HmR7O12mKzOVeamzfn7Uv5ffNW pN1+soXZ3vnMDEgUuX0Cq37D/frn026nOPejHPPt9HgfDpxP6/u+7XOpwa+grtqO+wuq334m/hwZ QvXnE6CWyEcdh/TT8Y9R5lvhtQ/kTT7y7RT2jwgZhnFSOnm9+fpPf/rT4eFhx+gcyVGhUCgUCn7F XnWM+kwLs31un72q3/DR861vbpxyvg283pG39/kK6vvVdMTrJd8CiUgw3zI+GQCQKbqui0i5Wu6e 1kTMvmLvgwcP+oq9MzMowbSOAAABAElEQVQfffTR7Ozs4uLi3Nzc/Px8wM5jxfdnAAAmRL4FAGSO 6f7bqt9a0dfJMIyTk5PXr1//8MMPz54963Q6R0epKfYCAACXiPNtLpZzAACoytjQSnURqTTNLT3E 9t1ib7nsbEyk2BvTpycfyggpsnG8AJAo6rcAAPQJWew1jI7I0fz8/Nzc3OLi4l/+5V9aZd7BC8aH n5UBC+EcgIXj3wIA1DKtg56MTNf1crlcrVbv3r3bbDZF3pqm+eTJk83Nzffee09Evvjii1qtpmna X/zFX5RKpZWVlWq1+tVXXxmG0W63A/acieKtsaFpmrZhdE+2d5Z7J60/+yzvtPsv12Vf3Nhw2btX 9wAAAQBJREFUnuptdNoAAICX6Ou3/JYMIHt4Z0uh9s5ycb1h/R12uPKoNE1Mc35+ft5Vs7XKvMfH x4eHh999993jx4+tMc/JFnunon5n55q+VvA4x+tBsB6k3jntneViSXuz3dp37cDYKNVFytutWB5F 9CRyvPFEVliNEp8NgGIYnwwg9fh2kT0TP6b1klbvP+mRmuJjB9dLly452605vYeHh8fHx1988cXJ yUmpVBKZ0fWzKyuzH3zwgTWn1xogHfK6/H58Sep10Vj/0lgLmUONL9cbUmn2ti6s7ZtrHlttlOpS nubjl1dKDfGNKvcqdaMATAH5FgCQSb2iYHfJqVFiV2zm5z2KvUSLT3UAAAEASURBVJp2srkZcbE3 sR99Ktvbb9afG1uhemo8r4tULgZu2t5ZLtWl0iTcAgDCIN8CALLHMZRV32pW6qW6SD1s7Jq6EYq9 MzMzZ8+enZ3tK/aKFJLotqczazcr2p2da/oF9znOmnp5u7W/Jt+/Gba373eurjdkzMeOaQUTsoYr B26hiQh3MQClxJJv+UQBAIzH+viYeImp988UTk8U5ssiDZE337dFL/hdZDT2x9yEn3cBF/cs9nrO 7BVpa9qirs+ePXv2Zz/7Wa2mv3o1I3J2/G5NQr+2faf4pdFyHzppYP5te+iu6uvrlaZ587lW8p/W mwPDc2Y8rJG9Qdfe/9xNqp8A4JTQ9hfKAAABAElEQVR8/ZYkDABwifZ30sKZ90UaIo2jtkqVzrH4 zezVtMPNzePXr1/funWi67UbN05ev35tH6f35z//uTWn1xrzHHMfCxcul9efv9geul33cQlgzc0t bJfr6+tXdy7kdJDy8JyphrT0E0C2JZ9vASAVGJmSfuX5QtJdiNGirouu67duSbPZbbLKvJ1O5+jo 6OXLlw8ePLDGPC8uLs7Odou9uq5bY54j7Eph7WZFK60P3U6/WJF60NDj7tzcwoXLZWkoMYN6Shj3 CwDjSjjfKnuQQwBAmvWFJuO5Ne+zb9CyCiL/xcS1w9nZWc8lqaw5va9fvz45OanVataY50iLvfq1 7XJ9tVEHxgAAAQBJREFUPbg2a29W2rh4enyg9YbHSsmFtZuV9UY9P4OU05xsY12vWKtpnnv3O7JR hO1+15vihwrIqLjyLYUOAECC6nZoso6dKkMX6h2TIp93I01aXlxcFBFX9I222NstuTqb+o/ZZM3G Laztm2c2tNNz/I5U3A3MOSrhYoA98lmrac4Iqlo7gGQlPz5ZkW8GAAClTPzp4DoEbnn7mj5xp1Q3 yYfp5MXeLdPcsi/mPJatz3Ftu/S+y/m1Bu8jD0hQABBGkvmWWAsAiEelaV58rpWGVQWTFPmHYEwf qSMVe63j9J4/f94+jpF1cUyfX1FR0zQznV+/zE3Tc/ywau0AktV9j4vjzXcLjzUAAAEASURBVG7o J3dUB1cAkJiIXr2+38PCDfqa5nsI71dxc97DKt/brr6N0VWVb93YrDKvYRh//vOf7eMY2cfpfe+9 96w5vdaY5yn0R+k72a9zo3baZ/tR8+3I78Oj9FOraWbV4zeYUefBJimqxwvIh6R+Svvp+McY67cM PAYAjIRPjbSzpua6ir1Wmbfdbrfb7WfPnnU6HWvMM8XenGBeK4BpSmx8Ml9iAADBMvw7aVZvl6e5 uTnPdZjtYu+f/vSnWq2WeLEXGA1HAQGUlPz6UgAApEuu0ml8KPbGLeQoX7teOprQr4HszGt1HZfY nmUHQCXx5tuQP71n+Bd6AHGb8rsH71fwxBNliR/IAAABAElEQVTDwdjQSnWPo9g6240NrVQ/XffL OvJtpdmav1N0HTa3vN36+7XCmMXeVD4u0XU3ZD60Nhsz5YbvyabvVYdvT1jKnklATiVTv03fhw0A ABHhQ7Cnfmfnmu5KweK93PVIxV7rOL0fffTR7OysyOLR0dz8/HxstyI1tF6l0fojpasoA0AwxicD ANSVyvobQmusf2msjX/oJr+ZvYZhWMfp/eGHH0Serax0jo6O7OP0vvvuu1aZ1xrzPEH3Uyb4kBmK lkwBYEQJ5Fu+qQAYpOhsKyA0ovjIKtvbb9afG1v9RdkIWGXecrksIvfuydu3IiJWmdc6Tu+DBw+O j4+tMc/OYu/i6dsPnwAAAQBJREFU4qI15jniDgEApiX2fMvnPYAwUpRseVvDJHjyOJxZu1nR7uxc 0y/0NddLWr33t8c83jFZ9Vt9IEw7i73WIGeKvQCQXoxPnja+2QBhxLrSCQBV6Ne27xS/NFp9BVOv +bcxdsFR7LVR7AUwBa5vO/bi4c6WwYvYja6xb35D4cIMkRs83LTdE9fhqQdXpHN2YPiC7QNTJOyl AZzt9mb2udYGrpOeVzHtfEu6E+4EIIQprOcJ1fi9N1Iwz7TChcvl9ecvtpPuhwvFXrjxHoR4DAbC gIjo/F7kjJpWMHae9Nts6G4Hu+GZaQf7GeY7mzOdnu6n9+LyzLQykGOHro3nzreDmVAYstsAAAEA SURBVHg6i+zl5OuLfRvzcGOzjUcQwKChn2W8dQwqrN2saKX1pLsRUvhir4hYx+n94IMP7OMYFQoF 6yJaTfN8IoxafvHbT4RSNHkEyLzBAu80dxu8WZiduAqwE27mx6N+61caHjvi5iS7Ij84ljt4WwOi o1/bLtddR71NFc9ir1XmtY7T+9133z1+/NiKwfPz80cnRzInVZHav9Kaa037gvZXw8HyS3B792OJ tyQghQaHAXsODE7K0KpvVJ0MCJuuauvQ4utUxyfzddDGl2MA8eG7bqx49w6lsV7UTouy5e3W/prv toULl8vSOA24zvWlpj0bNzIzMzNWcL106ZKz/ejoaOFl1Rc5AAABAElEQVTOgnREROS11P5drVQq zczMnD17VjoicyL/hcg/lXa7bRd7g2lVkYEJcgHbc9hbQCkjjU+esoBwG2bObfhRwAHh1jV6eXAw 86B/5HkFk1SE4cf1lciKuEgdvtpCcdZT1HqHycybTDbeMHPz7qFvmW77a4Vue3cxZH3LNE9ja2Ft 3zRNc0vv/tEnjeE2wPz8vLlrylmpipj/xmw2m6Zp/v3f//3m5uaT209ERDqit/VSqaRp2sLCQqlU un58XQyR/0+a55vOXdnfKV1fLoMn73mm37jbAUzf2C9G64JhFosK5oyj3lekaTLZMGHv3foNP7Za IhmfLL0P9ZzPSvK8gfm8DVH7owAAAQBJREFU1enlvDkZu2ljiuhe8HsPDbcQXzIPhLJPAFfHUlTL TctnxNCeuN4onBS5CXmjzpNnVNac3sPDw+Pj42+++ebk5MQwDKvY6zezV3zWNU2wPePS+/SCAgJW LbYEr2kcvH6ya12oMMtWuRascnXDudnQYdWe4dG1VLKdN0+vqH99Kee5g2d53pafjn+cUr6VEb8Q ZJLfDcz2DU/Rd+uhBmNDNm7XRHKcb5O9aj8B7zOi/CsxS/nWpkifc06dJ08knDN7/+7v/u7o6Mie 2Ts3N7e4uHjv8J78C5F3RArk2/hl7OkFRMTvAD92S0xzJTzy7WAmjqoHOc+3Abcuwzc8TN0+RVcT 8gUAAAEASURBVMi3Hsi3ij0H0hIRPaWl8+r0BCHl5CFzFntr/0dN/rNIW+zj9P785z8vFAqrL1fl n4q5NVBU8SnvRNWeZTl5egEj8quSRlg99RRUv01Eht8i0vK9LVr27crADRy8CRm4URFIOt+6f3Rg 3hcAOJ2IdET+g8i/FzkWORb59yL/QWROZEbsMq+8I/Ivku5qOpnV7hJfAPpUJal8O9X1k+EnS0VO T2m/ganufK5MuWig2hMj1cNkwvRNkf4r0g2Ex0M2yCrzvn79+uTk5OXLlycnJ6+3X7uKvYVCwRrz nHRnYxHZs6I66Ro8QCZp1dOSQ6wDkgf15Vu/wcnTbNG0JK891hZMKvr9AAABAElEQVSR3N12u02R /gw+FiITPTOHPqa0TNpS7ft5T7Xn2NSu3XoOhtlGzVdcJO+QIbfJ0uNOS4Qt2fuEjaRF13VnizWn t1QqWS26rltjnqVnc3NT1/WZmZlz586pcytooYUWBVtszm0Gz40D45OnIeTtytjNH7w5KtxAVx9O vzb3c23j120VblHC/O6CEe+aqMYnT990OtBLUxH0JPF7zE+YjinSeUW6gfB4yCbkUex9nfpib5j3 1bA74ukFDBhMl1rUqxd7Yv7tlKT9e+d4PG9Osrcx/LU7c2/ARTL2kI0j5nw79vVPzRQ6YF9FJD+1 JH6P+UnR+6QKfcBIeMjiYBV7O53O2oGMaQAAAQBJREFU0dHRDz/80G63rWLv4uLi7Ozs2bNnf/az n1nF3rNnzybdWTctwvUveXoBXrT4Vy/2RL6dkgx89RxDqvNtUjtMH/LtFPNtwNVl4E0mLfk28Q5g DDxq0+RZ7LWP0/vee+/ZxzGanZ1NqpPkWyBuSaVL5fKtZPFdYqRblKWbH1HwiUwc15ulx2tMuc+3 U+jD4KD6SUb+q3CPeSLfIj48aomzyrzWcXr/+Mc/2scxOnv27MzMzPnz560yrzXmeQr9CTMuZuR9 AXBIMN+yfrJaIvs1MWkBtyIztxFIBK8gAEO0d5aL643T0+Xt1v5aIbHuiMjc3Jzn1FyrzGsYxp/+ 9KdarQt+rDQAAAEASURBVGaNeVat2AsgXajfxm7UW5SNeyD4ViRyG6nfxoL6bcx9GHoHZ+YdJi1D rJW9AxEsRw+csaGV6gOtyUfc8KZQ7KV+C8SN8cmnMvYuMd7NycCdMPQmTPk2xnR1GXikJkW+TSjf 2meNce0q3GkuKRpireC9hzBy88D1SreVprmlOxvSFHB92MXeP//5z69fv56k2Eu+BeLG+GQglRgp CknuacDTD8CAwtq+udY74R6nnHLWOsy6rjsbncXeZ8+ejVrs5Y0UyB7yLaL3/7d3PzFznHd+4H81 0MwwkwsDDNacS+YVfDANKAl1o09+GR/8Ej5EQgxEc4oMC7AEH8YCKHicOZAWHiBUAAABAElEQVQ8 7NqGuJANjCEZoGAh2YUdYwI5B0OvD17Sp2FOYrIG/E4Sg28gYEPvziIcBYvhHILaQ71vvfXWv67u ru76058PCOnt6vrzVHV1VX37eeoppwroxcKvki8aUDGzVLvAUnf27u/v37t3z1UKzJt8u0ErH0D9 mtgvG3Oris8Ohg1whIRm58LtjXvpm3s7lXbP1Fb2Arvgt4YuQFl24QJMRpKc+9Km6Q4mDwcuYBSO f/7nhxERB3cfpenJHbgAO2V0+ZbM7C+Xt7aC6nk2brhAO+8Pd95rB2zE8VFWVfvcJ/dKQ2gy+ysu 2DXy7abs7LXpzq44O25CV0gTKiqwnL3LBxERa4RHgQAAAQBJREFUcefb7x5HRNx/o+ZZQQBzJt+O l2vQSfAxLSW5bWPRg6G+d36/Y+z2PvfFLOAevvJskiSFJ+EeHh0PVSiAbZJvmTMXo2yTHztW43sK /dn78geP7h7kLw/uPkpPXt/56f2hCjUmtQccR2+YE/0nb0Rfl2u6CYXd5IsPrOrcI3AjIsqvAeZM /e0ETOg3RRfl7DiVAAAAAxpjvnWBWJT1TVt6AgtdCNswY84ULMUOA7AjxphvqZJyYSrWv4zewk8z W77Wd+Biiuy3O8UvIDAb7r/t3+auTbPZZsdfNZPtVN4CsBo5B2C61N9OT16XOzY7GynH+XEwILtE UXZksEGYhKydVIbSve4AAAEASURBVHaetd8CTJF8y2BcOkDVzv5OtALHEPqVJ1vmygEWdoF82zOH TiBErwobhDHIqmernVnk1bbsMocpmIeR3n/rua8L2UQtbJkJSW67mpizhV/GCX1bJ1RUapU+vmKS 8ckCbEeSJOn5Y25yejguDs9Hq76bDUmbD9wjzbdMjis/OsoCbXrzZHfJ/5gfP0KV2CCMSpdd0U4L 0KOkro1EMbiWMm313eI4TRFXvu2TsyAs1FegneXXbZsrNY8L93msBQDsgiyg9jVaE/ffQg/ctEOt Hd8xqslzxzcIMHKOUTCUlvrYJEla3q2SbydsPEfhUdWfjKowAACwg7Jc2nHMlviapumu/fBfAAAB AElEQVRSNbraJ++K0i4hAcLY7MhPM1oUMy322NnwOcKWLaxxLd1S25fx5tvJnVHGX9pi8XrsN3L8 Kw5s39aODJM7WQDAbsrqYBd2oVwcrfRWPkT/ybuu9i64/C1gc6SvKtsEAHZQKZTmkbVltPZ3a7n/ dtrWvwV32Jt4e1+6i2YmapBdd3Nf/46r4wsLAPRLvu3Hzl6l7eyKA+sYT/d4sJDddaf4uGHq5Nv5 WxhBHcp7YTPSxL4xA37LA4BJGPX9t+7Rgg3Z/jcruS3hNZrZga7j6vQY+50sAICM+tseDHtd1cs1 4mozGdsF5djKQ1F6M01v+ngAGIArBNgd8i2wGUmiVW5OmhwTOQAAAQBJREFUE+VaLjeZCl9hgKmQ b2eu+w+Wy568/RTKAmlqF+liBg1AihwZAIABjT3f+sUUeuc7BQDALI09347fnCorJv1rwhg+iElv wGkZw8cNAMDYyLdz0BSrNpcBpIupE8W3bxe2+YBHhl3YvAzLPgYwCfIt52z//O2KgV3mpyKATXOk hZ0i367FERMg43gIzINf3mHSJpBvHWVWs/K15sINPsKr2BEWCarGeTQbZ6lGxREGAKZiAvmWLlyh wuTMKTXNaV2giVMtwPjJt9RoOYW7im03/qsfnyC9G8lONf5vHwCwac8MXYAJG8klXa1eyuZKEXqX ZbDRHjpWMLPVAQAmTb6l3gBf2JMAAAEASURBVIQuWF1eM0X2WwCA3k2jfbJWZ13YSoxfelOkG6OV jx5SOrvGqXZyHKZg10wj346QwyWw43bkMLgjqwkA8yDfzpCrMbpQCzGUedyCO4NV6GJHVhMAZkO+ ZXjrBK0RXn3uVm4c29ZnVfPYb/tdixEeXoDtmMchEXaTfDsrDsfsghmkjqmXfwYfwUK7sI4AMD+T ybejSm4jv+4Zc9kY1sh3XQDokbMe7CDPBwIgovONwbtwvbgL68jK5nELPTCg5Pa5Wrv0Zlod0jJt 9m4+SellafLSaAtn2z5hcbRshNrCDEu+nZudOuO6whin5HZS+7EUj4PrDI9bSXK7h/kMNZyRc2BB Wj31AAABAElEQVQBYNOqlwddLhhqQ2yWOUuxs2m0hbNtmbA4WnFgaemDX/lMpn3yeLj0YaFRNaff svzYVzpWGj4P4z8ArvntG/8KAh35OjM/C6PjavGy4ySDB9eOplR/q0UQwEbt8mE2S8W7ue4AbFm1 Qe9qTXw7BtqVq1W7TzieZmvqb4E+5ce10gHO8BmYa/RNkpNVm+XaATBCWZve4kVCdchCpfDZlEW3 EG7jtPwLm60llUZWyamm0YrvJgVNi5hS/S0UzfVSewbSm2ncbBjeNP4yw+NWWvvR9zX/TQ8fuZ2q wlVnC3O1O8cxdtbC8JmNsEK4XXnCxXOuC6X5VV2SJNnfpXCbD8z+QzlsqAAAAQBJREFUqL8KLJBv l+NwyXTZe1nHzPYfyRaAUWnqALk6Tm0Xyl26j+o426YJi6PlVbVL9Z+cpmlLveuyozUpB+KRG/wC a/ACzNiy23bkn8UIi1dbpBGWc6Eplnlapr6rLCzqhNaFcbILjV8vn1GnmdgboE5Tuuw4vFptm/2R 596m6Prxk48mdv/tLndLy7TYV5mu6t47reu39m/ftNYFWIGvOYxB+12ypTE7VrWmp1rmPLH62xj0 mOVwuVFLbd5JfBZjK+RGK+Xuv5Fcu5O/Orj76IMv7/Uw26r2As/sYTwAjFx6K5JbQxcCRuhWfRVr MXXmVbLVMZvqb2vnU/Txk4/k22ksenGSqj4AAAEASURBVBfIt5u2sXx7/O71Z185LA+9cS99c3/N OdcY21adq+J2nuI2byrzFNeFcbIvjVlfn472ybCyptSa/VHb5Lg4vPqy9q2q6bVPDs0+YWSO330t C7c37qVpmqaP7h5ERMSdb797PGS5WIsjLTBR8iaMVt66OH9ZHFgcXn1Z+1at6dXfxnBHLkfMjVJ/ u2mbqb89bZhcqK69/0ZyLTZTezu+rTpj2aae6AafehdZjJ/dabR6/GjU38LKhkqXHz/5aJLPBxrk ksvhazym8lmMKhtsqiTHv/5lREQcXN7Lh+2/OZKVZneN6tsHAGzN9NonZ7SdA9iomUXEOa0L0MQ3 HZhqvg0wmoBxAAABAElEQVQRF4BuXPICwI6YcL7dJtdGUG/vk89FRMTh0XE+7Pjd60nyxv1hCkSf HPeAXaYqBaZo2vnWcWdOOn6afmvo19pfov2vZv0l37l2mmjvf++Vw4g710RcxsFBA3aELzsQE+0/ uWQLhzNHzO3osp2n9VmMp7QtJVm7kPXPvz24++iDL++tM99a49mkjFy+q9hn2AT71Qht4kNZPE+7 AtQZsP/kadffZjZdi+vAxcp2o4nB3pc/SO/dKA45uPso3US4he6yb58DOBuyG4d3gOmZQ/1tbDiC ujzamvnV38Y4CtxehjGUsKMJFZUxyOKHfYYNcUQalQ19HOpvYTXqb9flZ9Qdkoj89wAAAQBJREFU 4SQCLMURAwB2ykzy7eYIVAAT5egNALtmPvlWFS4AAMAum0++hXHyywsAbJTWdkBuVvm29yDhcDkq Pg4AAKDFrPItAAD0RSMsmJy55dseD0NqC7fPWQQAAFjZ3PItULLwlxo/KwCswMETYIRmmG+db2ZJ dToAUOUKASiaYb7thWMlPfKbCwAAbMEzQxdgI7I4IaBOlChILV9qAADazTPfMl0CDAAAsJrZtk9e p0WoaiIAgPFzzQaUzDbfAgAAsFPm3D7ZXbiMx1B7o68AAKzD9SS9S26fa2Wa3kyrQ1qmLb1bHFJ9 t2XChbMtFSYbkr0sFrg4pGURWzPnfLsahzAAAA7amMcAAAEASURBVGBzqjmwSzIsxeDSkOq7Xd5q ereUmfMAnP1RCr2ldxeuyEbNvH2y57IAAAAz0FJzW323abSFs+1uDGm2Sv3tOSpv2U0aXwGswMFz WDY+09XU+jc6p82O2XLNCNpx8moT6wHNP9869wAAAOOxWvvkkjxSLry3tstotRN2v2W3el/uUGbe PjnTsZWyGMzM2KUBAGYpuwk2S5W1KTTv8Kl9tKYJN9T2OKmksuRUaUjHl1Xzr7/tSBJg0zQlAACg VrVH4qZxmpLnyrm0acJik+m8BXJTP1Jd+k+uzaXp6cVxkiRpmmb/7fiyfikLx5iNlmghdbAdW97T llrcyL8FIy8esLPQmpE2AAABAElEQVQcnQa0tY3ftqBeCpFd9FfnY/hqwxmBpnTZlkv7yLcfP/lo J9onZ/SlDAAwD/P5ZSG/PC1dpxq+2nCmqSmvZpl2qbrYHaq/zVSPhvM5PjJ629zZll3WyL8IHYs3 hl4NANgd6a1Ibg1dCBihWyf/L2XM2tRZHLh+/e3O5ds4f6E88mt6Zka+XdnIiwfsLEenoYzllh/t k0c4nBHo0j65FFlLI6ycb3e6fynnJLZMF1MAQFnTTXRNVwyGtw9nrLL+parRNO93Kk3TLMTGacVv +8tau5hvZQwAoBcuKtZk68HuKIXSPLJ2Ga3pZdUO9S9V5GzEvNm9AZiKJFm6hyCnOaDJlDGCqAAA AQBJREFULtbfZhwWociPPgBsWalLlHB5BqxtR+tvAQAYjzT1KEegB/ItbJWTNwBEQxvj7Cw5hxPl HNYBJkm+hbnRzBiA6VpYkes0B7SQb4GxcykDsGs0dwJWI98CALBVXX64FHGBFci3MCuqOgGYjfnc jgtsi3wLALA61YwbpV9lYCnyLWyb8zQAu2yFpkb5qVMzJaCdfAsAwNgN++uw36ZhKuRbmI81f9V2 8gZg09Y5Vam5BRaSbwEAmAYRF2gn3wIA0A/tgIBhybcwAC2BAZirlhOc3qGATXum9Do5PSalaVp8 mQ8BxslFAwDDys9ETknAUMr5Ng+xSZJkf4u1wIBcJAFMToDaNnUAAAEASURBVN5MyQEc2DLtkwEA 6Fmalm/G8XslsAU1+TZJkrzyNn+53VIB9ZLk5B8A46FXhWiIr7ZMSXLb5oDNKrdPjsKdt2maVpsr A73ITvlLfauK4xcvF1aYFQBsh7bKwDbV5FtghEoJtvi3n8YBGDO1uLCztt97cdf+k1Xewmj1+O1U FQzAChaeO5xZYDdtv/fixv6Ta18Cg5A5AQBgIe2TYeyEWwAAJiprEVysyI1NVqOey7fV1siGGGLI 5obkwxZOlSRbLWHEKLbPaMtjiCGGGFIdkqbjKs82h5ycqbqd0XZkSJr9t3pGuxUjKaEhhmx0SNHp gWJLvRcnxeVtYgFAi6S1bra3p4ZDAAABAElEQVT93Q0ZZKEtxlYegCY7e7zakRWvX82mlW8YntxO 0ptLjA8TVU2XpSEbip8fP/lI+2QAgB6kuugDOK/S3KOtprcX8i0MLG+yFHHuqshFUtgIAKPnQA20 qObYar1uaXg2pJSHsyGll7VLlG9hSKUvZlPWBQCGpX4e1lRMp7nSHbl5u+Wk4XlCCyt+5VsYEWdN gEkTgQCalCpgN+S3Nr0AYFqyizMAWEiYB3rR0t1UkiTFVFx6WaX+FgAAgD4Vb6NdOGbTaKXWy10e L6T+FgCgN1rBAEREMY7WSk6fnd1vX8rqbwEAqJdl9WWe8ApQrynQFrtQzu/RrX2eUJfHC8m3AAB9 A7vw+gAAAQBJREFUmk0vU/latKRcgI5qe0Juf4DQsp0nh3wLjNY8rg4BZkDKBaZCvgUAoKz6I2Mx 5Yag28Tt1zAo/UsBAPRsxr1Mpalk28oGgkGpvwXKZnPnGACrWXgWcI44s2S77eR2EhHpTVuQk50h l95Mq0Oqk+QDq/tS8d3SUtp3ueqEeUlaFpdPWB15QPItAACsasmsXw4Ac63op5tqIGyJiMX025JI SwOz0Wqjb8uExVibJdjqfGoz8OARV/tkYIxUIANTN90myo7AW6U9M521R8eVg+VqE44hytZSfwsA wAnhFrapqRlwdIidXRoe542H+w2xTbXHY0i88i0AwEbozgBot1T75H/QYAIAAAEASURBVNox2+tR u7RPXjht07vF0VZeSu+0TwYAIELlLcxI7V213SdsT6pZoM1GGDzQlqi/BQAAGIViLq1tA5zXl5aa BNfm0i7tk5sCbbGldPt8RtV/cpKmaUQkyckfADH0T/gqEIA5mcoxbSrlHFZ5KzVttbxvsbQcGOoD gK3PvAyVLj9+8pH6WwAA6Fsl2a4yE7kXlqT+Fqg34Cl15UWvfKsJAKwgvRXJrSWGb3o+MBa3Yqj6 W/kWqDfFfAswQpM4pk2ikGOwRPvkuuFLt0/2wTBNA7ZP1n8yAMAGZU8JAmAL5FtgXPxUDbBlDrzA bMi3AAAAzIF8CwAAwBzItwAAm+UWXICQArULAAABAElEQVTtkG8BAHaXm2+BOZFvgRFxmQUAwMrk W6Ce1nQAAEyLfAsAsHF+NJwnjY5gZORbAAAA5kC+BQAYuw3V/er1AJgZ+RYYC5dZAOyuJNGEHdYn 3wIAbMPKt+BmP//JPjOXpn7lhfU9M3QBAACA8/yewRwlSZKe/x0nOd3V8+HZkOxl+7u15FsAgF3k rpAVZBXp29hu2TKkXGYkqdufi8E1TdM8AGd/tL9buxTtkwEAxitPU5ooA5PWUunaI/kWaLTNaynV CMAukFEBqlrqY5MkaXm3Sr4FAIBtSG/6KZddkeXSjmO2xNeslXLHWYV8CwAwFap/gako3j1bK4us S9XNdqF/ZhKZAQAAAQBJREFUKQCAkdrcvRvuCgG2rCnQFjtJzqtqa/tPLr1bS74FANie7XXACzAm pVCaR9aW0drfraV9MjA8l3oAHWmiDNBCvgUAGCO//QEsS74FAJiS9atwJWdgruRboI2GcAC9c2gF 2BD5FgBgdFSxAqxAvgUA2LY1q3DVAAPUkm8BAACYA/kWAGAALXWwG22crOXzPCXJyT/YbfItMDBX WsDOWqeZsSbKnJOmzqYQEc8MXQAAgN2VxVTBhKUkt09+20hv2nXgHPkWAAC6WviTRHI7qX0zC6XV RJrcTuJWVCdZYT5LL3eI4bBR2icDAAyp1NK4e3XuCk2U1RVvWl6zmv9heMAWyd8f7H0AAAEASURB VLfAAm7xAti0dY60DtEAOfkWAGB4q0XcrFOhLl3n6lt3O/LmuKV2uYbDdiRpmkZEkpz8AVDlSRUA W5Dlz3UOiaU5FAOtI22PtnfmalhScjupz43OqYzDUOny4ycf6V8KAGAU1r8fJLuezGci6QC7Rr4F ABiLXhKpWAvsLPffAgAAMAfyLTAkNwoBANAX+RYAAIA5kG+BxTwCFwCA8ZNvAQAAmAP5FgAAgDmQ bwEAAJgD+RYAAIA5kG8BAACYA/kWAACAOXhm6AIAAACblCSRpkMXAiJJkvT8rpicPoIyH54NqX2Z FJ5XmTbs0vIt0En2CNx+T47OtgBM0SbOiZvi+fWEBnSxAAABAElEQVSMRlK3NxZzbJqmeQCufRnN sTZXzrelAN0lIgMAAGOUXcBLuYxAllc3vZRyvi0F6BBrAQBgKrL84AKeSam2W24ZM1ojqvbJAAAw F5It47AwiBbH7Bhuq3WxVfX9JxcnSJJkC/XIAAAAzEOapu2pNcuY3cNtRzX1t8VldInIAAAA0KIp 0BZ7gMrv0c1vla3tP3mJ9slyLAAAAOurza6lBFuapDSk+LJLUK2vv82n7xKRgR0xpcchAAAwtO33 XtzYf3LtSwAAABin+v6lAAAAYH3b7L34XP1ttTWyIYYYYkhxSD6srzlHjGK9DDHEEEMMMWSE5680 +2916beil/kYYsiGnd7zBwAAAQBJREFUhhQl2+29+GS+m1sAMCdJf/ff9jgrANiyLZ3FGhaT3E7S m3WLbyqWky7blafLppi5ofj58ZOPavqXAgAAgPUVa3fba3p7Id8CAMBYZXlA7SvTVMqxW2gyLN8C AMBYnc8Dye2kaUQg9J8MLCVNI3FiBYCBpDfT+jtvgYiQbwEAAJgH+RYAAJYz0gZNbtNl58m3AAAA zIF8CwAAwBzItwAAAMyBfAsMIEncIgQAQM/kW2A5I+1RAwCAnSffAgDAKGnsBEuSbwEAAJgD+RYA AIA5kG8BAACYA/kWAACAOZBvAQAAmAP5FgAAgDmQb4GleQQuAAAjJN8C25YknucHAMNLblvOCKcA AAEASURBVPu5mrmRbwEAAJgD+RYAAIA5kG8BAADYuKShB5fi8CRJur+skm8BAGBpeluEpXQMt2ma pmmaDWx/WUu+BQAAzuh3ik1IG/oXbRq+mmd6nBewO7IfrXWDDABAX0p1s/nL7hlY/S0AAAB9Wnij bJOsBXI+k4UNkkvkWwAAAPpUjKm1Vku/C2mfDAAAwGYV+4hqGV5skFxqn9ylubJ8C2yVu3YBAHZQ KZTmL5uGd3lZpX0yAAAAcyDfAgAAMAfyLQAAAHMg3wIryh6BCwA7y6kQxka+BQAAYA7kWwAAAOZA vgUAgBVpogyjIt8CAAAwB/ItsDo/WgMAMB7yLbA9SRJpOnS9USjtAAABAElEQVQhAKBX2/+1N73p bAr15FtgLapwAQAYCfkWAACAOZBvAQBgLVozwUjIt8C6nNQBABgD+RYAAIA5kG+BHnSpwtV5MgAA GyXfAgDAujr+1AtslHwLbIPKWwB2XHYqTBIpFzZIvgX60fK7tXALwI7LT4VpOo1+GZPbSXJ79KWE imeGLgAAAMxBFly7/KTbfcwtyzNtenN8hZuL7yW/LL78avpcdUjLtKV3i0Oq77ZM2OXd0szzshUL XCp/y1K2Q74FelN7th7n+RsAtqb2VJjX4g57lswCbZ5msz+Wrrl1sl9SNQR2iYWlGFwaUn23y1st 75Zmnifb7I9igUsZeFjaJwMb/R1FygAAAQBJREFU5HwHwI5rORWOoa1yejNVVTsVLTW31XebRls4 24XDmyxc0HaovwUAgH6UmjJ1+Z13tG2V2Zy8nrNa89kxInYMk31lzmoj6mJz5VGRb4E+FU/SztYA 7DLnQZqs1j65JA+cC++t7TLaQsU7b6t3/I6k8ja0TwY2xEkdADoavJUyk/PV9LnsXzRk4zyIto/W NOF0qb8FeuYkDcAuG0nHUUxLly6Is3Fa+jpueXfhomt7Zo7zNbRR6T95bJW3EZGkaRoRSXLyB8D6 VN4CsMtWOA9u9tRZmXv7c4CS28lynU458XPeUOny4ycfaZ8M9M85DoBdtsJ5cOOtn5KkuADdJjNX Z0cHYUMAAAEASURBVO2Tp97SGgAApuvPIr63mYj71Yjvxf8ZEVG64L/VEAGahrfMX5Sgg6Z63eLw JEkiIm9lnI+TpmnpZf0itE8GAIDBbbCRb8Osm9oha5/MmmrTZTG4Ng3PJ8z+KM1nYWjVPhkAAEZh g02UhU9GoCma9lvPqv9kAADgjFtzGUqpEXJUan2bKoFz8i0AANCBdsh0tjCINineeVuMtWmall7W Tq59MgAAjIJnyDMbxThaK9nMvq7+FgAAgM3KAm216rU0vLb/5NqXteRbAAAANqsUSvOXTcPb32qi fTIAAIyFJsqwDvkWAACAOZBvAQAAmAP5FgAARkQTZViZfAsAAMAcyLcYUHVsAAABAElEQVQAAADM gXwLAADjookyrMbzbwEAYDKqubfDM0FhVyTZQ3KTJOnytFwAAGALkuRccM1jbfWavZh4N3tFXyrT wuHsqqHS5cdPPlJ/CwAAo5M1Uc4bKreEhfwtTZpBvgUAgJFaqmY0j8QbKQdMgXwLAABjNKI2v1lR pFxGT//JAAAAzIH6WwAAmIkNNlGGFWynzr+wx6u/BQAAYA7kWwAAYAPcr0tJU9OC4vA0PXuZ/d30 bh35FgAA5iN/pBCMS8dwmyRnjeyzv/OXpXfrFO6/LX0PNNsHAABgoS6/qTTl0l5vGT/fv5SHQwMA ALCsXrJkNesWn01VrNdt0Nx/sogLAAATH9UjvgAAAQBJREFUlEbEhq7lmzLCssOhSbbPlNJy3jN4 8WWd5nyrfTIAAEzTRp4StGz7Uo8q2h0r/JCxmTvFz+dbv68AAACwrIVZsthHVMvwYgvkUi3ucu2T /bgCAACzkDfnhG0o7Wq1+bM0MH/ZNLx2PotStOcDAQAAMAfN998CAABsS6lFKnOw9Y9T/S0AAMzQ yt33DNgnT1bm7B+sQP0tAABwYvBgWX0uDHQn3wIAABHnu6ftFCz7S8PVJVY7ypV1py5JkrTuUywO T5IkIrKXyenHX/tuLfkWAADmqf9elEuVqose1rK+YuFl3UlLGvaT4vA86GZ/FGNtmqald2vn5v5b AADgXBJuvOcjH8MAAAEASURBVHc3TTsly83cQZstPPs3eDtqltWUSFsqY1eg/hYAAHZdz9W8263X ZTayStrikIUNkkvU3wIAwGx1qeqsDbfbrCPtOV0zAkmSNDVIbldslpy/7D4r+RYAAGauJR3IlmxC KaZWrZZ+F9I+GQAA5qzUWLh7mu2/eyp2WBZoq11DlYa39J+cV+TqPxkAAHZa7XNle4uvHlbLIqVQ mr9sGl59q3ZIiXwLAAA7pFid21sglWwZB/ffAgDAzun4oJ8t9DKlCTQ9km8BAACYA/kWAABotM0H BcGa5FsAAGBFSRJJaF7MWOhfCgAAaHPyoKDzA3vph9nNt/RLvgUAAJbgYUCMlnzS8HVMAAABAElE QVQLAAAskKYRSWOyPanglXgZmnwLAAB0IsEycvqXAgAA1rVEN8u6Y2Zj5FsAAKCDvmtvNWmmd/It AADQA0/KZXDyLQAA0A8Rl2HJtwAAAMyBfAsAAPSmYxWum2/ZBPkWAACAOZBvAQCAPq12F25y2527 rEu+BQAAYA7kWwAAoGfurWUQ8i0AALARTa2UdS7Fhsi3AADARngcLlsm3wIAAJuSRVwpl+2QbwEA gA1KUxW5bIl8CwAAbFwx4rr5lg2RbwEAgG1Qi8umybcAAMCWqLllo+RbAAAA5kC+BQAARkyb5rlI Gj7K4vAkSZpeJgVNi3imp6ICAABAvY7hNk3T/I/SIFuIOAAAAQBJREFUy4hIFzVwV38LAADAZjVF 04WRdSnqbwEAgFFIbicRkd7UCdWOyupsW0bI3m2JxPItAAAwCuVk687byVoYRJvkDZKb3opCc+Uq +RYAANiKZfNqlmGk3AlamGxbMuo65FsAAGAr5NUdllXJVmNtaXix4jdvrlyq1NU+GQAA2LoskGyg mo7JKYXS/GXT8OrLLvW98i0AALAZki3b5flAAAAAzIF8CwAAwBzItwAAAMyBfAsAAMAcyLcAAADM gXwLAADAHMi3AADABGUP14UCz78FAACgf8lWfoNIC49ZVn8LAADAHMi3AAAAbFyxorVpeJqmTS/T Uy2L0D4ZAACAzeoYbpnQxGkAAAEASURBVLMmzdkfpZd5a+d8eJX6WwAAYFKSROdSk9OUSPu9R1f9 LQAAMG5ZBMor+rI/RNzZyeps4zT05i+LWipvo5hvt9O3FQAAsAvShojRNDxuNY+f/XX+3fR0iBgz G6UGyXG6qxRvwW3PrWf5tv0+XQAAgCXUVb61DE9uLzd+JElWkSvGjE2XqtOFSXW1SbRPBgAAYLOy HymqGbU4vNQ+OX+39DKaI7R8CwAAwGaVEmn+sml49WWX+l79JwMAADAH6m8BAADo3/b7eFJ/CwAA TJD+camQbwEAgBGTY+lMvgUAAGAO5FsAAADmQL4FAABgDvSfDAAAMFVHR/H4cacxL16MK1fe4/H2 AAABAElEQVQ2XJqhybcAAMB2JUmEjqO6evgwnjyJ4+M4Po6//ut4+DAi4v79teZ55UpcvBh7e/GH fxiXLsXly3HhQly92kdxByXfAgAA23U+2Sa3k6EKMkJPn8aDB/HwYfzlX8bR0eIcu7cXe3ud5vz4 cRwdnfydheSqK1fi8uX41Kdifz8uX45LlzqWupMkSWqfiFscniRJFB6c2/6yZlbZe01LAgAAWEWS 1NfQNgxPbifpzR2NJI8fx+Fh/Oxn8eBBHB+X383qWi9fjk984qSuNSL299da4oMH8fTpSZ3w3/7t ycsHD8qjXbwYV6/G5z8fBwcny+2iNl02RdPi8HzC7I/2l9XlSWAHLwAAAQBJREFUfvzkI/kWAADY APl2kQcP4t/+2zg8PFebmrUTvnIlPvWpuHJl222GHz6Mo6M4Oopf/KJ8Z+/eXhwcnGTdCxfaZtKl nrZ2uHwLAACMknzb4OgovvvdeO+9ePr0ZMiFC2fRsWNj4+148uSkYvnw8FzWfeml+Of/PA4O6qda Od9Ga4Nk+RYAABiZXc23T5/Gj34U3//+WTPgvEb0hRcGLVk31drmvb34ylfi5ZfLt+lmoTQqrZHV 3wIAAPOye/n26dO4fTveeSeePImIuHgxXnop/viPl7ijdVQeP4733ovvf//sVuGXX45vfvMs5Xas p63+Ld8CAACTsmP59vAwXn/9pEKbuTkAAAEASURBVOPiq1fjK1+Jl15acP/qVBwexne/G4eHEREX L8Zbb8XLL0e09i8VdY2NS8Nj1f6T5VsAAGC7dibfPnkSr78e770XEXHlSrz99hweMFt1fByvvXaS cg8O4q234tOfXjpdlvqyioiLF+PKleVK8vGTj35ruSlgbcfvXk/Oe+P+yVv330iS6+8eR+Hl2Zvn RzibS2GE+28U5lqYUfHt6uCaYuUjZUPPpjlZQuP7NeUolLI6vDTlaSHOrXR1lidv1yzm7M3aWbVu gcblnft8CjPMFpG9blm1RWtdv+XbJmxdcQCAUTg+juefj/feiwsX4pvfjA8/nGe4jYi9vfjgg/jh D+NQlwYeAAABAElEQVTSpTg8jOefj4iGjqcKHjyIW7fixRfj05+OJIlPfzquXTv37/nnI0niD/4g rl+PW7fiJz/pVBj5lm3b+/IH6YlHdw8i4sYX9rN3jn/9yzj44uf2IrLQc+1OadJ8hON3X3vl8Ma9 NH109+DOtdNMdPzrX0Yc3H2UzfyDL+91LtP9N5JnX4nTKR/djVeezeLS3iefi4jDo+OT8X56J27c uHE24PjoMCKe+2TNovKCpGmapm/unw6/ce902L0bcfjKa4VAd/zzPz+Mg4ODuPPT+8XVfvd6cu3O 6XSP7h7cuZZcf/c49t8sbMZ8cdmSGmbVzfG716/dOSnovRtxtoUXOFvlpVlcuwAAAQBJREFUezfi 8JVnC5M1vdW45ds2V9uKAwCMwPFxXLsWx8exvx+/+lX8yZ8MXaDNe+ml+NWv4qWXsk6h379/v360 4+P4xjfi2WfjM5+J27fjJz85abm9v1/z78KFkycD374dL74Yf/AH8dprNQ/pLZJvGczxu6+9chg3 7uW55PjoMIuK999Inn3lsGaKkxGy8HZ5L2Lvc188iMM///lxnES6+qzZ7v4b1+7Ewd23TwPx3pff vnsQd669cT9i/ws3IuKXvz6OOMnXl79w+aA4oBDQl7T/hRtxWvg4XYEbX//6c/kCs+J979xmyn4f WJDeG2bV0fHRYb5W+28u+VtBRETsf/XuQYnzRGAAAAEASURBVOF3gaa32rZ8dcLS5gIAGKenT+P6 9Tg+joOD+OCDcT3vZ6MuXowf/jC7BffCiy+e9T6VOT6OL30pnn02vvWtOD6OS5fi1Vfjhz+MDz+M NI1792r+/c3fxKNH8f778bWvxd5ePH4c77wTn/lMXLsWTflZvmUo97/3ymEc3P3qfj7gp3fOouKN eye1u8UpTkc4PsqD7N4nnzsNS1ld6p1ryzZWvf/TO5HXG2f2PvfFg8iqPvcunwW1LF/vf/K5PFIf HUYWtHuQZdIv7O9/4UYxxt3/6Z2lI3TDrJaySsXvktq3PAAwR8ntZNnhtW81DR+Db3wjjo7i6tV4 //2afqSykufsXBilAAABAElEQVT/aodUVd+tjrzyhuryobQvvfjyBz+IiB9l9x5nnj6N11+PZ589 uRX55Zfjgw/iv/7XePvteOmlBTfZ7u3FCy/EW2/Fo0fx4Yfxta/FxYtx/35cuxbXr5/0R10k3zKQ SrbJKkf3IiL236xrbJqPkNWaFv3y18cnM7z7aMk2tSdzK1X7Zu2Sf/nr45PA9ctfH5/l6/0vnLRQ zhpEn8tnyzi/CQqV0pcPzlJpdWU7rFL9rDrbf/PejZNfCrpuxZL733vlsCGVn721YMtXJqymYQBg WvII1BTM1hw+BtlDbiPi7bcbO0lOb6b5v6YhTZPkkbg0clO4LU5Vq2O4bVl63VK+1AwuKwAAAQBJ REFUdOHCSdvjrKn2d74TEfHyy/HoUfzgB3Gw+P7cGleunATdmzfj4sWTe31LzZXlW4ZRjbc///PD 1vCyaIRCQ9peW7LmNcRnAXzvpIVyoR656vCVZ2t7TTqpYE6S5Nqdg7uPTpv+Zpn0i5/bO9/oehU9 zGr/zexngpO16FgbfrbK1+7Ewd1HhR8pWt5q17C5AADG6eHDePw4rlxZuu/fNa3c9XRLol6jOE9f eiki4l/+y5MIevlyfPhh/OAHPbTWvngxbt2KX/0q9vdPwvNh4cZG+ZZBVOvi8ptvm5yNkFXxFa1w 022utsKwWLW4dzmrwD1fgMOj4+Nf/7Kl5XCxf6liKjp6TzsAAAEASURBVLtxL+9Zq1DuczcPZ5E6 S6XVlV2kcVbL2n/ztKR3vt2pGvdcl1rnk2jdWwu3fETT5gIAJqlYXbmJ4WPw8GFELAi3TY2NuzQk LtaaLhw/q1Nd/8FL1fkUl167lH/0jyIi/uzP4smTODiIv/iLngP/pUtx7168+mo8fRovvniy2UO+ ZRjVlqnnbr6tUxkhy0VZE+G17oCtqe3NIuLJ4rI60KOfn7WfPqnA/fnR4aqLzjpSOmtFnS0wr6y8 difyIu1/4cZSN6S2zGqlkn7ui+d7ilqhv6omi7b8WSFKmwsAmKz0Zlr78NumprnLDh/cpUsRUX6U a0m1KXJ74+RMKUAubHidk0K8AAABAElEQVQc3dond1GdT21z5eJSfvObiIj//t/jSjx8//DvXPx7 SST9/3v7neSF+EnWodfTpxHyLcOo9MtUuPm2YYriCPtfvXtwcgfsWVPcwrNdsy6Zvt61Kev+m9kz a05b4ZY7dt775HMRd1555ax59N7nvnhw+Mord9aoUjyJbIevfO/+aaor1HE+untwFnC/eq5P4fpH 7uZaZ9VN9njZ0+foFgJnlkdf+V71nRUt2vJnzm0uAIDRymop799fEHGXtWwd7MqBtq9bmv/Vv4qI +Hvx3z6I6xfiaS/zrPXD+KMrV066Vo6IyC6B8z9gG+7diEoGO/+82DR/Ou69+hHu3TjZpc8eXAOn 9wAAAQBJREFUkFrocLkys3OTnDkb71xvzeXJT6Y8W1TNkJbVOze8ZiZ37x6UJ3hUGnSu7KWlFh8D W57u/KDWLVCeY/0oDQVpWuX2t6oLK47XtLnunZuyZc4AAEN44YU0In311fp341Y5ecWtKP5rmqo0 Qmnk6ru1o7XMuXbC9sU1voyXI9KI9K34Wpr9lf1L03Mva4efzqLTy4g04v3304j00qX0N48/StI0 jYgkOfkDAACAlR0dxfPPx9On8YMfZA+D3S3378e1a38b8bt/9+/GX/1/f+es8jbLm0mlfrg4PE3P /ZG/zMcsjXY6/Pnn4+HD+Dd//v8U2ieXWjMDAACwpMuX45vfjD3mojoAAAEASURBVIj40pdOG83O 3mmKPEyuX7/2NOJ3I+If/IM41zK5KWP2kT339yMi/uN//O1nzg3Oq3DlW2CCRvgQPABgRx18LQ7f eu21eO1/PYyD1+P3j4Yu0AalEU/+W/r66/Hee9mAv4j4zOXLEQ9aJ6vK6myjEEiLL6vvnvrDP4yI +E//6ZlnoomIC0yNuywAgNH4zo/i8evx1uP/fHDhz/a/Ht/+k/jWRntaGtB78fLrz8aTJ3HhQtx8 +o1vxFHE+6v0sFVtgVzbXLnUPvm0u+a///f/R+H+2zhff+t2XAAAgDU8eRJ5rebeXnzlK/Hqq3Hx 4sCl6svTp/GjH8V3v3vy+NmDg3hWWfKNAAABAElEQVT77dh7NknicsSv9vbi0fH5StNiLq39u+n+ 2/Z8m6bXr8fhYfzv/9tfnc+3pWUDAACwngcP4ktfiqOjiIgLF+Kll+IrX4mrV4cu1hqOj+P73493 3oknTyIiLsXjt+L1l+JH2btJxKVL6ePH8X68+EL85GSa0s2wxbBaGh4N7ZOrLyMi4uGH6fPPx4UL 8R/+/f9V6F8qTc/9AwAA2LD7byQF1989HrpAG3D1avzqV/H++3FwEE+fxnvvxWc+E5/+dHzrW/Fg 2TtUB3V0FO+8E9evx7PPxre+FU+exJUr8YMfxKO/ufRS+sNilvz61yMibsfNs4lLPRkX/ygNL8bX 9pcRgR4+UQAAAQBJREFUEXH7dkTEq6/GJ/6n/+H5QAAAwCCO373+7CuH5aE37qVv7g9Qmu04Po7v fjfee++k5jMiLl6Mg4P4/Ofj4CAuXRq0cHWePo3Dw/jZz+LwMI6Pz4a//HJjLXSSJH/zN+mzz8bj x/G1+M5b8frmivdevPyl+MGFC/HoUfzeBc+/BQAAhpCn25NAm78+uPvogy/vDVu4DXv6NH7yk/jZ z+L+/XOh8erVuHw5PvWpuHo1rlwZ7E7d+/fj6Cj+8i/j4cO4f/9s+MWLsb8fn/98vPBCWxTP0uX9 +3H9ejx9Gm+/Ha++upFyHh7Giy+eLeLjJ/ItAAAwgPtvJNfuxLnq2vtvJC8EhV0AAAEASURBVNdi 1rW3dY6O4vAwfvGLODyMp+f7V750KS5fjs9+Ni5ejCtXIiKuXo0LF/pc+oMH8fRpHB/H8XH8+38f R0cn9wkXXb16Ur3c8Z7hPF2+80689lpExNe+Ft/8Zs8l/8534hvfiKdP42tfi7feigj5FgAAGMRp be0OVNYu4cGDk4rTBw/i4cOzNswle3uxt3f2d/b014V+85uz7PrkyUmnx7X290+qka9cWSVRF9Pl O+/E66/H06dx5UrcvBkvvLDcrGo9fBjf+EYcHkZE/MmfxDe/eTL84ycfNT//FgAAgC26evVcHenj x3F0dNJC+N/9u7OK1uzf+orVwr/7u3HlSlyLHD/vAAABAElEQVS+HJcv9zDn3KuvxtWr8Ud/FA8f xosvxpUr8fWvx0svrTi3+/fju9+Nn/wkIuLixfjhD+Pg4NwI8i0AAMAYXboUly7F/n55+NOnZx0v Hx3F48ed5pan2Yi4fHl7fVlduRIffhjvvBPf/nY8fBh/9Efx2mvxwgvxT/5JHBx0qhx+8CD+9b+O H/3oZE0vXIhXX42vf71mFbRPBgAAtq/m/tvjd68/+8pzO3cD7uw0pcunT+Odd+L73z93i+/ly3Hl SnzqUxGnCTyvnf4v/yUePjzXjnpvL156Kf74j+vDuftvAQCAYZT7T84T78yfEDR/C9Pl0VF8//vl zplbZLcB/7N/wzccUQAAAQBJREFUVlOVXSTfAgAAQ6l//q0ep6ZuqXT58OFZp81//dfx8GFcvhyf +ERExN5eXL7ctdPmkG8BAIBh5ZW2ESHbzsNQ6VK+BQAAoE9N6bLL8CRJIiJPqfk4aZqWXlbn4/lA AAAAbFwxnTYNz4Nu/kcpxy6slP2tdYsJAAAADZIkaWkv3G87YvW3AAAAbESxSnbhyHkj5NrmytWX VfItAAAAfVoYRJumKrZPLsba6svaOWifDAAAQJ+KcbRWl+rcFai/BQAAYBuqVa9Z0M1raGv7T659 WUu+BQAAYOOKuTT/u6WH5GU7Tw75FgAAgA2pdhm1UfItAAAAm7KdZJvRvxQAAABzIM9qV1YAAAEA SURBVN8CAADQpw11j7zQWfvkoUoAAADAnGyzTXLRM/niWx6SOwnKPyzlH5byD0v5h6X8w1L+YSn/ sJR/WFMvP5ugfTIAAABzIN8CAAAwB2f5duqV+8o/LOUflvIPS/mHpfzDUv5hKf+wlH9YUy8/m6D+ FgAAgDk4ybfJqfyN0svagbXjtOuyoBUWsbXydy/hUsuqlr+0lBXm2b6sluWOvPzVOU+6/L1s/6YC r1bITewhHZe7cCmrzWrS5d/C9u/+KXef27JzHk/5Y+v7z0bLP7ntb/9ZYXGT3n9ql7vybLe//xRn 0r6U1eYz6fJv8/vb+/5THNg+Wi/bn36d9Z+c/ZEkSbHrQodKAAABAElEQVQv5aTvTskWLqi0x3Qs xtbK37GEpeELy1MqfzQc0XopfLEk1eWOvPzVOTcdOidR/r72n5YCZ5MvVbxN7CFdlttL+auz6mUP WXahuTXL3+Me0qLpU16h/IPsPz2WP4bYfzZXfvvPlssf9p9Vr7hqyzmJ/afH8lfns53zV9OCJrH/ FD/lNctfW5LqHDax/end0u2T892lur/mO0Fp/152/ssWadn5r1n+9hIuu74t5WwavtHtP/7yV8/f xZeTK3/JyuVf+MUpFS85teyC+trCJT2Wfzt7SPtCq1Yuf9N8tmzk+0/35Y5z/1nI/lOaz5bZf0rz 6b14HZc7zv2nx/IPsv9slFVQKgAAAQBJREFUrvxN8+ld+yqsvP8klSu9tUvKljxTfJF/kPlFfPe0 WfrNLDn/q0bJwu/SarZW/uJUyy6opfDrzGe18q+/3L7ms3L5+zJI+Vf4cbRHHX9x7GsP6d3UfzHt Uv5t7iHLbsmx7T8bKv/WbKL8W9t/VviUR7X/bK7827Gh8m9n/1ltG45n/9lo+bdgc+Uf9gqnXZfy j+HTYWVn+bb4QeZ/1366tRfu3XfiTYfb2HD5axdajNYrzCeWOdj1WP7qcidX/tpirDzhgNu/+HJU +tpDRmJy5d/OHrK5E/l29p+tXYhMrvzb2X82d7G+nf1na2FjcuXf2vEn/6PfRWzt+JP/sdFdaJg4 FpUAAAEASURBVHLln/r5q7RlJnf9sMvO+pda52Pr/sFvIdyuPHkvBRvkxyrlL85q/ZmssNBJl38p 4y9hO+WvnefWTtvKXzvPSZd/m5R/WJsof3oqtlVR3y/l725a+391y0yr/DvuXP1t9kf2cbY36igN TyuNEGrruLosKCnc3LiwGN1n23v520tYGr6wPNUft4pL6bH8pZI0/ag22vJX51y7oMmVf83t31Tg 2pm029AeslBf5a/Oqpc9ZPDyb2f7l+Ywuf1n/fLHoPvP5sq/0e3f9ClPZf/psfwxxP6zhfJv+vvb UpLx7z89lj8GOv5suvyb/v62XGuts/90HG1D2581bfBn46Z9bipQQe4rAAABAElEQVSUf1jKDwAA dPfxk4+W7j+5o6lf3Cv/sJQfAABY1qby7dQv7pV/WMoPAAAsa1P5FgAAALZJvgUAAGAOnvn4yUdD lwEAAADWpRccAAAA5uDseVC7E3Q7PsULAACACXnmr35zFBG//4nLQ5dkq3784x//48/+w6FLAQAA QD9++3d+T/9SAAAAzIF8u3P+5//lztBF2LhdWMcmu7zuRbZDZpe3wy6ve5HtkNnl7bDL615kO8CO kG8BAACYg2c6jlfqkylN0yQ51/dy9rI4Wv5u7ZileTZNWypD7Xyqb/Wi+Dvfn/6LG6WX1RGyIdkf +Rxqx6xOWLvo/K3iy3za0rtNs1rBdNSlBQAAAQBJREFUmmtRLE/7JiotqGXRTeOvpvQLblbO6oJa PqYV9o3q5LWfb1Q2Uamondaw1fp7ae1btSvVUuxhN0J1KdHHpli4IzXNYcDtsObXYc3vewy9D7Qv N1pXfwsH/Njid6G60Np9o7r0OW2H6vy7H+Gn/l3YxJlxcsdDYB665tvo3MFyx8xZ++5qeXUT/SHX RqnqQbbldLXsrJYtVX6qWG1Wy+q+Fi05fJ3ilU5ma+pYkqbTal/7RlV1Nbdz2u7++XZfnZU/+qE2 Qr70zW2KZUvSy3wWWucD3dr3ffDr146r1uMBP4beDk0/ZORDZrkdVj7Cz+C70PuZcZ2llIzwmACM 1kjbJ4t22E4AAAEASURBVJeqcxeO3O/SNxoUS6o/Z5aGVy8lR6hpLVrGXDnYD6uvkjRth5GsZsnC Ty0bvnBn7jjbcW6EzGo78GrzHPN26Gjh5hp83dt33VpLjdxx2sG3Q0vZojnyzW87bO5cM/7vwjoc D4H1/Zuf/KKvkZeov80DZy95sphgh62q7a76u2wXxRN5LwfoUoud7eh9LZpUL3o2ccHR+7psbuNs Z7Nv7fNdzTbLtuamqL1qb2nRt9rM+90OY/7oc5MoZGz+q7T97bDaEXhm22FUu9+ETjdTPB4Cg1gq 3OaT/NMXPlv7Vv/tk7un1hVaI5fuv+0yyTpKR89qO5yOh9fV2in9aeX2leJS7m7UAAABAElEQVTc tl+ludpaVDdR03qVRitOW/yjr+rTLqO1fL7r7xvt26E67aY/8b5a0y270FFthNISV1hc7Q68cCbD bof1vw4t4yxctXHuA+vo94BfO+dlZ95jGZaaW/bH5LZD9HGEn+J3ocdDQXWEqRwPge1bIdzmE9ZG 3CXybUfVvqOmq3QaaxqBFutvokFyV3HRTe3omt4qjrAL8rZk+cvdWfedsnCfj6nt9nbdhXZ2m6x/ hJ/xdutyKAAY0Kbuv13qBtqqUt/IPRWqqz9d47aiZRWvHqoLLZ0gR3s6WfMaaLTrlSk1tFu5tAs/ 3y6TDCL/fJtW/0//xY38X8vkMeWNkFm4KbrPMA1YIAAAAQBJREFUpzRkKtth/cPjqNa9fddtKszK h7vxfxeKn2/7ms5yO2zz7B8jW/dl9XVmjIlvB2B9Tc2MV55wlftvIyJN04VP9MmfIVQ7ZtOThJrm trBg/T4iqPZg3bHFafFlnD8KV8/oS10f/GnljqbqkPWtsxZTuR+mtDq1q1xUbC612r6xVMFqlzWG z7dp8lorl3wLGyGf23Y2xWq2th1W/jps7vu+tXWvalr9puampTF7PODHoNuhWIDiEme/HVY7ws/j u9DjmXHS2wHYvn/6wmeXbaXckoqTv/rNUUT8/icu994LcV96f7ZtkiQ//vGP//Fn/2GP8+zFdlqC jbC9We9FGuE6xtjirZEAAADSSURBVA5/vkVbK57tsOUFdbfL615kO2R2eTvs8roX2Q5Aj377d35v pM8HyvUebkdrZw+7O7LiO7Ka7WyEzC5vh11e9yLbIbPL22GX173IdgB6N/Z8uyPhNna4gc2OrPiO rGY7GyGzy9thl9e9yHbI7PJ22OV1L7IdgN5NoH1y70bbPhkAAIDVTKB9MgAAAHRx1n/yPJ5YCwAA wG565rd/5/ci4q9+c/R//OI/DF0YAAAAWNGu9E4MAADAvD3z//7ffzl0GQAAAGBd+pcCAABgDv5/ hoUp1j9XQjYAAAAASUVORK5CYII= ------=_NextPart_000_0001_01CB05DD.18808BE0--