X-Account-Key: account7 X-UIDL: 1273727543.21544.mail42,S=83894 X-Mozilla-Status: 0001 X-Mozilla-Status2: 10000000 X-Mozilla-Keys: Return-Path: Delivered-To: ron@1166093.1882787 Received: (qmail 21540 invoked by uid 78); 13 May 2010 05:12:23 -0000 Received: from unknown (HELO cloudmark1) (10.49.16.78) by 0 with SMTP; 13 May 2010 05:12:23 -0000 Return-Path: Received: from [66.163.168.138] ([66.163.168.138:32312] helo=n44a.bullet.mail.sp1.yahoo.com) by cm-mr4 (envelope-from ) (ecelerity 2.2.2.41 r(31179/31189)) with ESMTP id 32/A2-23399-53A8BEB4; Thu, 13 May 2010 01:12:22 -0400 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=yahoogroups.com; s=lima; t=1273727541; bh=KKvRc99lOVODhcKuejhusH/yAjAS9X8/E2+et7KNaSw=; 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: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=rfVYBTUSRZdOdpybWwSXd2H1L11Di7GhdvteNbvMTRFN/0CpJ/6N+TWvWeo82qNjZK7IPAiXvZOE8WJIypYoQ82f3z8e/uAc3DbTXhpF/GkFPnoiA8M0CHyXY1tsHrVB DomainKey-Signature: a=rsa-sha1; q=dns; c=nofws; s=lima; d=yahoogroups.com; b=VrEp5vf5MHlvXap9Ip8eBOgguNc8db6A665hiV1Oro1+vUimld/uyi8mMVnIyehaObZMlFFI/2JimvWnImEFNfFZivGteDGRSi+p6vUZSCydB3cMnJshv4uMl/IX+KLJ; Received: from [69.147.65.171] by n44.bullet.mail.sp1.yahoo.com with NNFMP; 13 May 2010 05:12:21 -0000 Received: from [98.137.34.40] by t13.bullet.mail.sp1.yahoo.com with NNFMP; 13 May 2010 05:12:20 -0000 X-Yahoo-Newman-Id: 12111071-m109716 X-Sender: gmorlan@tampabay.rr.com X-Apparently-To: metatrader_experts_and_indicators@yahoogroups.com X-Received: (qmail 82633 invoked from network); 13 May 2010 05:12:16 -0000 X-Received: from unknown (98.137.34.45) by m4.grp.sp2.yahoo.com with QMQP; 13 May 2010 05:12:16 -0000 X-Received: from unknown (HELO hrndva-omtalb.mail.rr.com) (71.74.56.123) by mta2.grp.sp2.yahoo.com with SMTP; 13 May 2010 05:12:16 -0000 X-Authority-Analysis: v=1.1 cv=RZg5C6NCKrCZril9sGGnsuGk01/OiP2z3O3lo0hXATg= c=1 sm=0 a=zNANCjgXmV0A:10 a=nS+zSNEA4jtGT2g3su/Nkw==:17 a=ZKWnXCL7hS9UWthrFIYA:9 a=NUFRm8cvRGFIL_l1ycwA:7 a=tq5M26AqtEKpC_RnWfPd6rZN3T8A:4 a=CjuIK1q_8ugA:10 a=yMhMjlubAAAA:8 a=SSmOFEACAAAA:8 a=q-1H1WAbDF4KJxfBQOsA:9 a=16KH_H2WFD71ox2F7okA:7 a=jCe1QvTn0JbBx6b8vtE4LMCh2HcA:4 a=zSD-uFL4vgWz8ZBKa0AA:9 a=vv2oPX7LfQhHQUN7qKzGLXntH14A:4 a=HXjIzolwW10A:10 a=R9GilTidMcWxGuBj:18 a=nS+zSNEA4jtGT2g3su/Nkw==:117 X-Cloudmark-Score: 0 X-Received: from [70.125.42.184] ([70.125.42.184:4140] helo=nunswen0cecy73) by hrndva-oedge04.mail.rr.com (envelope-from ) (ecelerity 2.2.2.39 r()) with ESMTP id 34/B3-12058-D2A8BEB4; Thu, 13 May 2010 05:12:15 +0000 To: Message-ID: <000001caf25a$daf072d0$90d15870$@rr.com> X-Mailer: Microsoft Office Outlook 12.0 Thread-Index: AcryWtnQvyAE7iZ7RVOBOhziGKJMvQ== Content-Language: en-us X-Originating-IP: 71.74.56.123 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: Thu, 13 May 2010 01:12:15 -0400 Subject: [MT_E and I] EUR/USD, 5/12/10, DAILY X-Yahoo-Newman-Property: groups-email-ff-m Reply-To: MetaTrader_Experts_and_Indicators@yahoogroups.com Content-Type: multipart/mixed; boundary="----=_NextPart_000_0001_01CAF239.53DED2D0" X-Antivirus: AVG for E-mail 9.0.819 [271.1.1/2870] ------=_NextPart_000_0001_01CAF239.53DED2D0 Content-Type: multipart/alternative; boundary="----=_NextPart_001_0002_01CAF239.53DED2D0" ------=_NextPart_001_0002_01CAF239.53DED2D0 Content-Type: text/html; charset=US-ASCII Content-Transfer-Encoding: 7bit  

Consideration of earlier weekly and monthly periods argue that price is currently searching for the low of EW 5/b. The attached daily chart may provide some clarification of this issue. The low of Wave 5/b will introduce a change of trend, which change requires objective evidence. Low price fractal at b/5 on 5/6/10, tested Fib. retracement 361.8 and 100.0. The next higher low fractal is the high of the lower blue trend line. The upper trend line in blue follows two high fractals. The lower trend line rate of declination is greater than the upper trend line and objectively shows an imbalance between buyers and sellers during the period. Sellers have been more aggressive than buyers. This trend line disparity is a classic warning that a trend change may occur. This an important consideration at this time since the low of 5/b has not been clearly established. Two Fib retracement studies are considered, blue longer term, green shorter. The longer study traces the 361.8 level. The second in green traces the 85.4 level which has most recently acted as support for price. There has been no higher fractal lows formed subsequent to 5/b. The present issue is whether 85.4 level will served as current support, if so then there is some additional evidence that the prior low near 361.8 may ultimately be established as 5/b low. If 85.4 does not provide support next lower support at 127.2 and 423.6 or lower to 141.4. Comment; A long condition is shown with s/l below 85.4, (risk reward greater than 5 to 1)based on the anticipated testing of the upper trend line. This is a higher risk trade but with a relative low s/l level. Two points in each trend line which price often respects. As the trend matures the lines may also move/change consistent with those newer fractals. Fractals often provide anchor points for trend line placement. They are objective and accurately identify highs and lows. Frequently the low of a retracement will be 78.6 however sometimes price will fall to 85.4 which has happened presently. If the 85.4 level does not provide support price should move to 127.2 or lower. I am suspicious of a low for 5/b at 361.8. Price may well move to a lower Fib. level later. Nevertheless price does not generally move straight down and often will retrace to an upper line. There have been no CPD traced by RSI incident to a trend change. The search for a trend low or high may have numerous possible support or resistance levels. 85.4 and 361.8 earlier has traced one of those levels incident to this trade. There are some traders who do successfully enter near the bottom or top of a trend. It is not a matter of luck. The current long trade is an effort to enter near, at what may be shown in time to be the low of 5/b. 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.

Hobbies & Activities Zone: Find others who share your passions! Explore new interests.

.

__,_._,___
------=_NextPart_001_0002_01CAF239.53DED2D0 Content-Type: text/html; charset=US-ASCII Content-Transfer-Encoding: 7bit  

Consideration of earlier weekly and monthly periods argue that price is currently searching for the low of EW 5/b.  The attached daily chart may provide some clarification of this issue.

 

The low of Wave 5/b will introduce a change of trend, which  change requires objective evidence.  Low price fractal at b/5 on 5/6/10, tested Fib. retracement 361.8 and 100.0.   The next higher low fractal  is the high of the lower blue trend line.  The upper trend line in blue follows two high fractals.  The lower trend line rate of declination is greater than the upper trend line and objectively shows an imbalance between buyers and sellers during the period.  Sellers have been more aggressive than buyers.  This trend line disparity is a classic warning that a trend change may occur.  This an important consideration at this time since the low of 5/b has not been clearly established.

 

Two Fib retracement studies are considered, blue longer term, green shorter.  The longer study traces the 361.8 level.   The second in green traces the 85.4 level which has most recently acted as support for price.  There has been no higher fractal lows formed subsequent to 5/b.  The present issue is whether 85.4 level will served as current support, if so then there is some additional evidence that the prior low near 361.8 may ultimately be established as 5/b low.

 

If 85.4 does not provide support next lower support at 127.2 and 423.6 or lower to 141.4.

 

Comment;

A long condition is shown with s/l below 85.4, (risk reward greater than 5 to 1)based on the anticipated testing of the upper trend line.  This is a higher risk trade but with a relative low s/l level. 

 

Two points in each trend line which price often respects.  As the trend matures the lines may also move/change consistent with those newer fractals.  Fractals often provide anchor points for trend line placement.  They are objective and accurately identify highs and lows.

 

Frequently the low of a retracement will be 78.6 however sometimes price will fall to 85.4 which has happened presently.  If the 85.4 level does not provide support price should move to 127.2 or lower.

 

I am suspicious of a low for 5/b at 361.8.  Price may well move to a lower Fib. level later.  Nevertheless price does not generally move straight down and often will retrace to an upper line.  There have been no CPD traced by RSI incident to a trend change.

 

The search for a trend low or high may have numerous possible support or resistance levels.  85.4 and 361.8 earlier has traced one of those levels incident to this trade. There are some traders who do successfully enter near the bottom or top of a trend.  It is not a matter of luck.  The current long trade is an effort to enter near, at what may be shown in time to be the low of 5/b.

 

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.

Hobbies & Activities Zone: Find others who share your passions! Explore new interests.

.

__,_._,___
------=_NextPart_001_0002_01CAF239.53DED2D0-- ------=_NextPart_000_0001_01CAF239.53DED2D0 Content-Type: image/png; name="DAILY.png" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="DAILY.png" iVBORw0KGgoAAAANSUhEUgAABPYAAAN5CAIAAAAEpyKNAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA B3RJTUUH2gUNAzQpviUXhgAAAAd0RVh0QXV0aG9yAKmuzEgAAAAMdEVYdERlc2NyaXB0aW9uABMJ ISMAAAAKdEVYdENvcHlyaWdodACsD8w6AAAADnRFWHRDcmVhdGlvbiB0aW1lADX3DwkAAAAJdEVY dFNvZnR3YXJlAF1w/zoAAAALdEVYdERpc2NsYWltZXIAt8C0jwAAAAh0RVh0V2FybmluZwDAG+aH AAAAB3RFWHRTb3VyY2UA9f+D6wAAAAh0RVh0Q29tbWVudAD2zJa/AAAABnRFWHRUaXRsZQCo7tIn AAABAElEQVR4nOzdPcwkx50f4OoDASu8UOEKCo6BANO+RI68hAKvoESBcp9BAmfjEhtYQudo3418 AheCksOBEAk7ZEDAlwhaBwJXgUACwhkKFNCBwHVkhRcqawf9Tm+91R/TM9Mf1dXPA0La6emu6Xc+ +9f/qurqs08/+s0Xvw0AAACwc281//fTn/182/0AAACAG/3Z1jsAAAAA83grvlFV1Vb7AQAAQEnq ul7/Qd9Kbm+yEwAAANONFOckmkxsVUDVURkAANiZoRwr32Zlk5Qr4gIAAPvTTbPybW42eUVEXAAA YJfiBCXf5i8u6lZVNXLzFiIuAACwV02yLTnfvv7k+1Xi+5+8KljodQAAAQBJREFUDiG8+qCqqg9e PVyvuf3qg/5N7r36oFkw0sKbFU8GWo5XH5UE2rqu67puFiY3bzR/xB3fLZM2AwAAMyo537aefl6/ 8cv3Hl20yedPw8v3/1Mbcl//4ffhyY++d66N1598/90X9618/jS8eLeNyW3LX3/85MW7E1Puai/T WMSNw/nQwmSFJn+3/+422BvNhx5lfH+6u9f9d287AAAAh/H4B09DePnZr143N19/9TJ859uPzm31 +quXITz9weMQQnj8YW+yfvTej5+G8OIncYl4c2equO2JgqSC3AgPOwaczbdtm8m9Q48ytFrvzWSr 5F4AAADCq1+8OCXX81784tXo/WbO+V8AAAEASURBVE16/ur1rTs1o6XG4ibZMk6/N0qaGm95xscF AADYxot333RS/f6lRdNXv3gR2q7Jr//w+/Dk7Ufnt3r84edP7x/43CP+/g8X7tGSzkTc9mlsq7VX 9P6dkjPjRwEAAOCNeCzutKG4USp+98WTj7++3+r1rz57OWEgbgjhvnvy509DePn+t6oLZpbq1fbY DVGuTGLmLHnwfEfl0JmM+4rZruIBtEMPNKVNJVwAAIDznn7eTAgVQoiG3k4ciPvG4w9PzQyPuZ3S YO+w0+Te6Xs14nxH5UvTbG8LydjdS5kyCgAAIHWui/Cj9/7h4yfhzXTI3YG4kzoZP/rej570jrlt +kAbGkLNAAABAElEQVRP6fe8mkljceOJoJKuy0O12fGabXflKXXq8RJuspUSLgAAUK5mpqf3//5V CKHpgBz6ppG6D7nNig8H4o620FwB94PR1l9/8pMXITz98bSe0yt5a+S+JECGvhpsN2SOVGuHwud4 s0OPfnZn+v4mAACAvXnxbvXiza2nn9cfPg6PP6w/D9W77T3N0q5H7/346fsvX7x494O3P/79yyc/ +odHp3vGWnj84dcf//5b77f3Pfn46w8fh1e/SHZm6EG3U3326Ue/+eK3P/3Zz8NMlU/jYwEAAA5u q+g3/0WDxv8M+RYAAICFLHVdXAAAAFiZiAsAAMBKeucqbq8yGy+ZeDMxtXt+wwAAAQBJREFUNt0U AAAAzKU3mrajWZvhu8lVcsZvdltTxQUAAGANK8zNJOICAADsTXPd2nvf/+R1tPjNrWat+4vbJhu9 WTq+1etPvt+zxcyaB2gvFjveFXmciAsAALAzr//w+xCefPx1Xdd1Xf/yvUdvFj/50fcehdBk03ej q+m+/uT7774ITz+v67r+/Gl48W4bake2ev3Jf3r/5dPP6/rrj59EW0wzPak2f0a7cnPzkod6Q8QF AADYl9e/+uxlCN/59qN0+Vcvm6WvPqi+9f7LB/c9eu+XdV1/+DiEEB7/4GkILz/71eszW73+1Wcv w5O3H4Xw6Hs/evJmi2nOJtWrS7UjRFwAAEH63fIAAAEASURBVIB9ef3VyxDCi3eTDsSvfvEiPP3B 4+bG08/rrz9+MrD9H34f2og8stXrr9ok/ejb3wnh5Vevb9rvJtMmybbtOx3PO9Xtt9x7s0vEBQAA 2JVXv3hx6qYcdzl+/YffNyXXEB5/eF+v7d/+799/GU6xdmSrJgnHfv+H17fseH3S3uwuDJ3y7/jN hIgLAACwK48/bAfgRl2OX//qs5enIbVjXn3w7osQnn7epNmpW+2FiAsAAFCAdkjt6EqffP/dF+HJ x1+fyrVjWz369neSJWfb35yICwAAsH8PhtQOrfPBt95/GZ5+3k7BPGWrpnNyM4fz24/G1syBiAsA ALArrz5oL4bFTWj7AAABAElEQVT76hcvQnj64/ceRUNqhzd790UITz7+m8ftojNbPf6bj580c0w1 cyvvoEPzW1vvAAAAAJd4/OHXH//+W+9/q3o/hPtOx68/+ezlkx/9w6PhjV5/8pMXIYTw8n67EJ58 /PmPzmz16L1ffv5V9W71IoTw9PP6veE1c1F99ulHv/nitz/92c9DCCMzLwMAAMBEW6VLHZUBAAAo hIgLAABAIURcAAAACiHiAgAAUAgRFwAAgEKIuAAAAHv06oPqoQ9ePVzh9Sff7y6PLqr74N/pVm82 6izImYgLAACwW08/rxtff/zkxbsPcujrX332Mjx58iS8+MWroc17PHrvx09DCC9+0rhBigAAAQBJ REFUch99X/39+y9DePr5h49n2+kFibgAAAD71yTTNpjeJ9ynP/7xd0L4/R9ej2zZ8fjDz5+G8PKz X70O4fUnP3kRwpOP/+bxzPu7EBEXAACgBI9/8DSEl1+9bm41CfcHjx//4Ol9Wr2kqb/5+El4+f7f v3r19++/DE8+/of3Hs29twsRcQEAAMpxX7Fteim//SiER28/uTzj3teE3333RQhPf7ybgCviAgAA lKdJuD/63qMQHn3vR1dk3KaQG/YzCPeeiAsAAFCO73z70X3Cbf4ZwqNvfydckXEfffs7ITSF4B0R cQEAAErw6hcv7iNpk3DDi3ebiwm9+yJck3F3ScQFABEdQLUAAAEASURBVADYv2bq46c/fu/RfcJ9 8vHX9ZsLCh0l44q4AAAAu3Wq1Fbfev/l08/rDx+farjNQNzGo+/9aDjjvnz/W9Ub3/+kb539qD77 9KPffPHbn/7s5yGEqqrqut56lwAAANi3rdKlKi4AAACFEHEBAAAohIgLAABAId7aegcAAAA4iu4Y 3aqqmn+0y5slzc3k3vZmvH5MxAUAAGANcUBtxcm2rus2Azf/SO4NA8m2paMyAAAAa1hhjmVVXAAA ALYU90xuCrlhoN9y92ZCxAUAAGB+41k0FvdMTjoqJ/d2+y0ndFQGAABgfnEi7dU7NPdGqrgAAACs ocm0SQE2mTM56ag8NKO1KZ2KAAABAElEQVSyjsoAAABsKcmlQzMkx0t6NxmhozIAAACFEHEBAAAo hIgLAABAIURcAAAACiHiAgAAUAgRFwAAgEKIuAAAABRCxAUAAKAQIi4AAACFEHEBAAAohIgLAABA IURcAAAACiHiAgAAUAgRFwAAgEKIuAAAABRCxAUAAKAQIi4AAACFEHFvVVXV1rsAAABACCLuLKRc AACAHIi4M6jrWsoFAADYnIg7DykXAABgcyLubKRcAACAbYm4c5JyAQAANiTizkzKBQAA2IqIOz8p FwAAYBNvbb0DZWpSbl3XW+8IAABARrpBqS0QNsvjemFSPoxXGEpbIu5SpFwAAIBYb3fXNjQ1Jma4 gwAAAQBJREFUASq+mdwbooQ8lLZ0VF6QHssAAACt6SXAJMFOLx+KuMuScgEAAMZVVTVXH1gRd3FS LgAAcEBNcJ2yZtM/uV356hJuEHHXIeUCAABHEw+s7bVESjLd1ErMPgUAABxcMmVUvDBEEyaPlHDb 8qEZlbcn5QIAAEeWpKHmZu/CoZu9S2I6Kq9Kj2UAAIDlqOIuaCjNquUCAAAsQcSdWben+IY7AwAA cCg6Ks+pybfxaGndkgEAAFYj4s5G92MAAIBtibjziPOtQi4AAMAmRNwZqN8CAADkQMSdQe+VmhRy AQAAVibi3kr9FgAAIBMi7lIUcgEAAFYm4gIAAFAIEXdBCrkAANGWJk4AAAEASURBVABrEnEBAAAo xFtb70DhkkLutjsDAABQNhF3cZItAADAOnRUBgAAoBAiLgAAAIUQcQEAACiEiAsAAEAhRFwAAAAK IeICAABQCBEXAACAQoi4AAAAFELEBQAAoBBvbb0DAAAAHEVVVXVdJ0uafzTL25vJkqF7EyIuAAAA a4gDaqtNqk36jW+GKBK3/+hNti0dlQEAAFjDeDqNdYu9E6niAgAAsKW4K/KNK4u4AAAAzG96cE26 Io+UcJNezd0VdFQGAABgfvHA2l69Q3NvpIoLAADAGpIZpOKFoVPLbRf2zqisozIAAABbSnJp7wzJ 3eyaJN7xh9BR+UiqKizQE0D72gdA36lpAAABAElEQVQAgEyIuIfRhpOFUor2tQ8AAFsTcQEAACiE iHsYbZ/1qy6grH3tL9s+AADMwXRTzGfp8KP9stsHAICbqeICAABQCBEXAACAQoi4AAAAFELEBQAA oBAiLrtRPa+q5y7KCgAADBJxAQAAKISImxFVSgAAgFuIuAAAABRCxAUAAKAQIi4AAACFEHEBAAAo hIgLJ1UVKtN9AQDAjom4AAAAFELEBQAAoBAiLgAAAIV4a+sdgLUYZwsAAKUTcbNTPT+TxOpn9Tp7 kifPDwAAMETELYgq5bj6XPT1BAIAwM6JuNlRhBzn+QEAAIaIuAVRpQQAAI7NjMoAAACspOoU3qqT ZMnQbXlOtAAAAQBJREFUhr33tlRxAQAAWENvNK1P3VGrqqrruvnfoQ3be3tXC6q4AAAArKM3lJ41 lGZ7qeICAACwpaZIG5dz25sX5dsg4gIAALCEJLiOSNJscjPupXy2KR2VAQAAmF9d1+P5dkpkrU/C tLSsigsAAMAamkyb9D1ug26bY0fKv+P3BhEXAACAdSS5dKg2OxRuR+5t6agMAABAIURcAAAACqGj 8nqq5+fHUgMAAHA1VVxmUz2vxHgAAGBDqrjrqZ+dmeFaPgQAALiFKi4AAACFEHEBAAAohIgLAABA IURcAAAACmG6KWZ2dtKsoWm3zLYFAABFqqoqhFDXde/NeaniAgAAsJSqqs2bEqYAAAEASURBVOq6 ruu6SbbJzdmp4jKzs9dGunpDZV4AAGCciAsAAMBS2oLtQj2TEz0Rd6Rc3N2lduWRu7QztZ27++XL 7U+7vuend+Ww6+dHO9rRjna0ox3taEc72smmnRDejLxtwm37j0X1RNyLHnRkZe1c2k71fHCTufZn ZH3Pz/j6+T8/2tGOdrSjHe1oRzva0U4+7YRQtSl3TToqAwAAsJSko/LS/ZZF3IxcPVETAABAtpI0 u2h3ZRcNAgAAoBCdiLvMtYneNK79DdsHAAAoWl8Vd6GU1Tar/U3aBwAAKJ2xuOyGscoAAMC4voi7 0Njfuh685Kj2V2j/ZtVz5WUAACBrnYi7aL4u6WWJAAABAElEQVRaOrxpHwAA4MB0VD6es2N9B5L2 2X7CyrwAAMC2XDQIAACAQqjiHo/u0AAAwEaqqqofRpLq1M+0WV5F3U7ruh6/2W1fxAUAAGANVd+o yTaptuk3zq7xvcmSXjoqAwAAsIbxdDqiW/sdoooLAADAlpoKbVKwHcq04/eKuAAAAMxvPIvG2lG4 dV13+y3HJdzuvQkdlQEAAJhfnFd79Q7NvZEqLgAAAGtoMm1SgB2aUblbwu3e2yXiAgAAsIYkl3bn T770ZpeICw+d7SzhwsIAAJArY3FhLVV1Pj8DAAA3UMWFh64u0oqvAACwNRH3SPSwBQAAiibiwkzO nkFQ5gUAgIUZJoYb6AAAAQBJREFUiwsAAEAhRFwAAAAKIeICAABQCBEXAACAQoi4AAAAFELEBQAA oBAuGsRs6meuuwsAAGxJFRcAAIBCiLgAAAAUQsQFAACgECIuAAAAhRBxAQAAKISIC+ShqkJVab/Y 9gEAViHiAhlow9VCKUv727YPALAWERcAAIBCiLhABuo6/Yf2S2ofAGAtb229AwCrWDq8aR8AIAOq uAAAABRCxAUAAKAQIi4AAACFMBYXAACAlVRVVT+cBKQ6XbawWV5FVzFs14y3alaoB2YSEXEBAABY QxxfW90cO5SB43W6UbmhozIAAABrGCq9zriVKi4AAABbSvoej3dFHifiAgAAML/pSZIuIrcAAAEA SURBVDXue9w7/nY6ERdOrjpLBAAA9DobUK8LseNEXAAAANbQ1HWTZDs0o3LSb7mt8ZpRGXLSN4nc A4rJAAAUKsmlvfMnd7Pr2RViZlQGAACgEKq4sC5FWgAAWIyIe4Hq+bkupiGEEOpnMgwAAMAGdFSG QlTVi6p6sfVeAADAllRxL6ZIyzE1vRi8/wEAyJkqLgAAAIVQxQVWcfZqSQAAcDNVXAAAAAqhigtc 4Oy84oODdc9eLUmZFwCAm6niAgAAUAhVXCAEl30GAKAIqrgAAAAUQhUX9qGqXsyyWl0/7V9+rjw7 scwLAAAbUsUFAACgEKq4sA9D1ddWU789uxoAABRMFRe42Vl7AAABAElEQVQAAIBCqOLCWs5eGBYA ALiNKi4AAACF6ETcyqSpAAAA7JKOylAIE00BAICOygAAABRCxAUAAKAQIi4AAACFEHEBAAAohIgL AABAIURcAAAAVlJ1rlNbnYyv2dysIr3tu2gQAAAAa+jNpXVdt/fG/x7asF2nlyouAAAAaxhPp604 63ZvjlPFBY6hOfM3+csRAIDVNEXaJseezbfxyl0iLgAAAPMbz6KxJNy23ZLb8bftzd5ezTERFwAA gPmdDbe9MXUoxE7sriziAgAAsIa2Kptk1+YfUxLs2ZVFXAAAANaQ5NLm5lBYvWjllhmVAQAAKISI CwAAQCFEXAAAAAoh4gIAGqYhcQAAAQBJREFUAFAIERcAAIBCiLgAAAAUQsQFAACgEK6LC+TkdC3v QUNXQju7IQAAB6CKCwAAQCFUcYGcDBVpb99w6TJv0/7V+w8AwBxUcQEAACiEKi4wSf1s4fqk+mfZ lq5yax8ACCGo4gKwuLaX+ELdxbUPAJyIuAAAABRCxAVgYXVd3YXqbrGOuG2z2geAwzMWF4D9Wzoc 7r19ADgMVVwAAAAKIeICAABQiHUjblWZLhIAAICFqOIC7ED1vKqeO0UIAHCGiAsAAEAhRFwAAAAK IeICAABQCNfFBWAlZ4cT189cHhYAuImICxzJ2UndaxErSxNn4/fyAcDh9UTc6nm1xHn06nlVL6l+ Su4AAAEASURBVNk+AJnz5Q8AVFVVPzwrXZ3OZTfLk5vtkqGbCVVc4EiurvK5pve2zr5wXiAA2IOq 7yc7zq51XSc320jce7PbWk/EXegse/2sDnfVcu2H0ygvVQKgVMayAgC71mTURR9CFRdgAlVEAIDF jHRFblPxUM/kRF/EvXo6Fkd4AEtSpAUAdmR6NE36Hl/UMznhurgAAADMLx5Y22uJTst9Vdyrp2PJ oyPf1WPVzm4IAADA1ZpMm9Rjx2dUTjoqn+23bCwuAKbrA4ASNNmwG/2GlifrJCu0Bcpm+dDNZkly c0iSS+NuyUPrTFkhVmDEvfoQ7eyGyrwAAECe2oyahNWh5cm2Xe12s0XYAAABAElEQVTKzYbJzdCJ slf3Bp6XsbgAAACHlkk6nUWBVVwAAABul/RwvujmVkRcAG5lHAcAFCnp4RzfPNuNeSs6KgMAABTo 6gvarHIlnKWo4gJw7+qLrpmuDwA2105r3J0F6mwX4maF7jxVbQuX3tyQiAsAAFCCoSmOz8bO3g3H J0zOczrlIOIC0HJdXABg70Rc4BjyObXIPu16VBIAHIeICwDn7fokSfW8qu+W/BuWvkyE9rUP7NBW Z4c7Edf3CwCUpKrq0z8W+ZVvD2G0r/0M2weOx0WDAAAAKISOygDlc82eQ6vr5g2w1HRiUy5GoX3t b9U+cDyquABQrJXObtT1svlE+9oHI1KNlAAAAQBJREFUdq6qqqozNre7ZBaquADlO1u+U+YFABZS VVXdOZO1UL4NqrgAUKrqeeVaxwBkqDf0zkUVFwDKtEK+7Z6C1+EUgK6mZtvE2kXzbeiNuCMV4+6e tCuP3PVm89PyG9sZ2Z92/Rvb6d2f5lhhuedHO9rRzq7bCUt+/yzfTh1CqO48P9q5qZ2uMv4u7WhH O9rRzhXtnPJfc++DcNv2Ul4i7vZE3IseYmTlnruGJ8y7rJ2rdmnBv0s72tGOdkbX3/Xf5fnRzshd 8WmL3kOinf5d2tGOdrSjndvbCaGKU260yf3Chcq5xuICQGnMHwZAPuq6bmZUXrR/cstYXADgNvcF 3Do8rIKwiXQAAAEASURBVOsCQKM33C6UeLeIuGcH8fhhBIBr5TCRcu+8GwCwgj1VcXW7AoCz5s+3 w+em40dqM22zunIuAJvYIuL6uQOActX1m1As6AKwsj1Vcc+ellbmBYD5nU2onTJvMseyoAvAatad Ubmu/b4BwEJyO9Wb/OxX1WXX1AWgSFXnx6A66b2ZbFVFetvfUxUXABiSwyxTvVR0AWj15tLkSrnd C+cmW41Pxey6uADA4roVXQBu1PSOic8hDvWXmdKPprvC2fbHb/a67kJBF22ligsAJcizhJuIK7rK uQA3iqeyj88kJldum3Iht95oOt5+22zvzUs1ddq4fhuGk+34vSIuADCHydfyuoNQAAABAElEQVS9 N+UyQG7ib+YZjWfRhztw3yG5+Udys7vm0L1BxAUA1meALsBc4qrp0Nfp1V+z3Q3bh0tScW9IPhtu h2LqLYzFBYB9234i5ab72tn/BrZrDQ7iMhczwICkV3DzvdoXNa+s0yYb9j7c0M2BHa7a/40XNtri bXwz2ap7b0IVFwB2LNuJlKerw8NjLmEWYJqzo16vGxY7tOHVrcWSXBp3Sx5aJ1lytuor4gIAAOxS Ww2Na61JBmzvGsmG7USAvbPfJx2hw8PxJme7Sa9MxAWAHdt7CTeEnqOhZHCXXsoAvbpRdmiFs7Gz t6np7U98lHUYiwsA5MUVdAG4miouAJy376B1u+JLCwAAAQBJREFUF8Le/4T97z8A6xBxAeC8TDpf xaZPNFU9DyHLP2Gqh+F2x38IwJFsdWpSR2UA2J8CJlK+mnIuACNEXABgB+LLLbpQLgBDRFwA2J/D lnCTmagEXQASxuICwCFUz8/Ewb3E5vhijCGbyzACkAlVXABgf+J+y0FFF4ATVVwA2I1bZpnaS5H2 Iiq6ACRUcS9QPa/O9vLSvva1f8z2gQ11K7oAHFY5Ebc9eF3oKFb72te+9rla/awusoS4siNfKGgK Uy4DR9N818Vfd73fft3Vhlob33D6w21LR2UA2Af5doq61m8ZOIr4vF7z7dcO34i/+pLVevXm0mTD oYc7287KyqnitvvBOA4AAAEASURBVD/8Cx0BaF/72tc+LERH+nmZiQrgUrOcDRyJ0Gsqqoq79MGr 9rWvfe0De2EmKuAI4i+3thtL73fddfmz22DcTnxvJvk2lFTFBYBSqfFezUxUQNmab7nmy63tTtw7 Pva6/Jk02O0Cndzb7smGRFwAoHBmogKOKY6+V2zYXTjSTvNN29aTN1RUR2UAKI+JlOdiJiqgMO13 2tmOysmaQ00lIba7VbxkvF/0hkRcAMiafDsjA3SBknS/vpIl02uqUzY8+3AjC9ekozIAcCymXAYo mCouAJy3bAS6W/ghlm5/YU0aXXr/9/v8ABATcQHgvEW7XVXP+x9irlG4Q+3vxvLdiePWQiIoAAAB AElEQVR8u+MnCiAnW5061FEZADg6Uy4DFEPEBYAzqufV+lemNZHy+gzQBSiAjsoAkCP5dhOmXAZY WlVV9cMv1ur0tdssH7qZLKkHvp1FXADYt/UrzMUTdIFd6M4jMH5d3PHvseSiuHH7ybdi783Jj9Lz m9WG1Sb9JjfDwzTbLuxG5YaICwDQQ9AF8peMsGi/uKYsj/UOzYizazJnQffmSOMP26x7U+6MRFwA yMLZYuxQ1+WzXZqVeW/RDbpSLlCeJqNuqNv3OC7SjvdMToi4AABnxEFXORfIx9LfSN324zN9yb19 K0+Npknf4zjfdvstjxNxASALTTHWRMo5i6scgi6wuaSr4R75EgAAAQBJREFU8HIPMdTVOVnYXeds Iu1NrROj7BARFwAyIt9mzgBdYEeujr69G84SpJu6bhJikymUkyXJve0SMyoDAMxD0AVykMxp3PY0 Sb6OhpZ3m+rOUxW3nyyZ+OiJJJd2J0w+e7N3SUzEBQC4hpmogG11v3O64XZozSkbDrU28dG38mdb 7wAAEIJ5j3cruXLGtlOSAqCKCwCTLBhd7pr/rau7Bdvfb/Rq8uOO9n9HuwpQHhEXACZZ8JIMz/fd /uJ2NdI1ybd72W2A2W11vk9HZQCA2cT9loOuywCrU8XNSfsT6IwvAOyZKZcBtqKKmyWnewFg/7oV XQCWJuLmyq8gwDGYSLl4prX3P5cAAAEASURBVFwGltP9Vun9kpny5dNdodkq7pCStDN+cysibjaa d0Md9VLO4P0BwKKq51X9TO/VQzBAF5hdcznus71F2tVGvnl672q2ajdMbibNTnmUdRiLm6X6lG8r 43LhENTxWJQUnQkDdIGlXZ0wc4imcxFx89CWcFu1Ki7s0NkfBwezPCR8HpCgC8xoyndIXIa9vf2m Wjvvo8xLxM1Yk3IVchtxcPCEUJyzOUeZFwrTDbqbHxQCe9R+mYx8h7T3XvFVk2w40sItjzIvETcD 3RJud4Uj/+w5sGdHHKICl4iDbibVD6AkV6fN3g03z64TmW4qb6aeSoq3dWchwA4pyxMzExVwnaaO HrdlAAABAElEQVRvcJw841NmI6t19W7YTqGcTAvfnpKL753yKOtQxd3a2RLuYaeeGu+ZfLRnA4Dl ZFA/NUAXuE7yRTF08+z3Se+G441PWWETqrh7cLRabjWab/P45ABczYWCGNK9+IeKLsClVHE3dbaE 2zpILTf5IR/6S03EBWxhvrBRV3cPF9zN235p7gepLPb8LN3+jbLdMYA8ibj7UXzKvWLO5FKfClhd MzR0udLi0u2vY7n+V9XzZdvfvaV77WbcKzjOt3nuIcCQrc7Q6ai8nekl3FapPZbjnsn15LJ2uy1s rZ06aKE5hLS/bfuwobjrsn7LAFOIuHtTWLQbH3Y7zslsYG+EcK5jJKZJWgAAAQBJREFUgC7AdCLu DpWRcrvh9orI6hpC5KHtf7tQR1ztb9s+5MBMVAATGYu7kSt6Kcd2PS534pxSl7a5u+eBwiw8SG7p 8Lb39nfBRMrczrWFAM4ScXer3mf18upuyUN2+jwAO3S2m/FQgjVaeB5nq5ZDUa+4cqegCzBCR+Ut 3FjCbe2rm+4Vc0pNtK/nAQDm0O26DEBQxS1E5t10l+iZPPRAOT8PwM5d3c347Iaqu5NcXaY8u+Ge 02Fc0VXOBQiquBuYq4QbHraT56/zLHNKTeHnHMiYBMvSzEQF7EjV+ZKqToZWi++tIr3tq+LuX7ZT T80+7HZcfUrUWT0JALAKA3SBXejNpUZVwh0AAAEASURBVPXp26qqqubfSb5tFzb/qEe/3VRx1zVv CbeVWy13uWG3Ex8dIBsmUmZNri0EZG48nV66Wi9V3FJkUstdbdhtr0yeBICIfMv6uhVd5VwoUnwO K/7gdz/yU3p2dL8r2vaTc2ftzaTZW/qPNGXb3mRb13Vy78jKQcRd1UIl3NaGAa97hnirn1LXEAKA EIKZqOAAkmzZhs8krE45z9Xb4yNuPzl3NvIoDzPwWBZ9+FgPuiI/3LcHHZW7vZoTIm5ZVk65vWFy 859Pg3KBvVHpZTl1bYAuFG6Wnhrxd8Xtq0Xrn7umwEBMvYWxuGtZuoTbWmFcbtWZKjmcxtxm9aup nAtH04zj0VvkAAABAElEQVQ7HPlv5d0xkTJ5MEAXDqLJn72J9+oP/lCD3WZHHv3hJlX7v/HCRtIV uS0Cx/d2V06o4pZooVpunjXbXrorA1szyxS5MeUyFCkZGdvbUTmEweVnjW8Y3zvy6A83qbs3u2G1 d7Xeu7pE3ELNmHJ3lGxjuivDATlah3MEXTiUq/sw73qaOhF3Fav1Uo7dXsnMZxKpW0i5wDlL9ChW wiVnplyGMiQf3nagbLeEe/Z8VjJhVbww3jBeLWl2yqOsQ8Qt2nWVzDKSbdBdGQDGmHIZ9q77me3t n9y75pQNp7c/8VHWIeIub5MSbncfzu7ATjskj9NdGZjgbMXVxFEUzJTLsGvxRomEfAAAAQBJREFU x7Z7mdzuyuOF3Iuui5s8XO/KmxBxS3d2UG6RybZLygVuZhLarTTf38s9/0u3vzueCtid7sd26IM8 /gGfuNX4w23+HSLiLiyHEm5vyj1Isg26KwOzmXJa2kTKi1i6tKh0GUmOTT0tkLNkEuPxq/uMrxD6 qri9d52dObm3zLsmEfcY4pTbe2/ZdFcGgGnMRAU70p3hqXe4wS0f5PHxC917c/jSEHGXlEMJt9Ut ZmayY2uScoGFKeFSBjNRwS4kBdVuoTVec+iucSMF2+l13ZX92dY7wIrqh/8dyngPbQCgI6nMbD6+ DrhUe4qqDcATI+gVn/dM8m1QxV1QViVcgkG5ANvN7gQAAAEASURBVHCxbr/loKIL2Ug6Kt8yp/EV 18Uduve6HZiRKi5Hcj9p5sZ7ARTJhYUoWNwBMqjoQk7ij2dcrW2XJCuPt5NcR7e3wbgg3Pvom58F E3GXoYSbOT/MwKxMpMwRCLrALuiozMHorgxca/Rovq7u1tqP43Fd3Jx53oDciLgLUMLNnGsIAVfZ vOfVgdVh0e9s40uvFedbTyCQ2OoUmI7KHJgTzwBwA/2WgQyJuBySM80AMAcDdIHciLhz00t5L8yu DCXZaAJHsyhDQ9AF8iHicnh+gwFgDoIukAMRd1ZKuPvSvlJ+gIHLuVAQ9OoGXYA1ibgcm6NT4Fry LYyIg65yLrAmEXddjpFiAAABAElEQVQ+Srg7ZVAuACxDv2VgfSIunPjdBYC5GaALs4s/RMlnaugj NuWj112h2SpZPnSzXXnzz7iIOxMl3F3zwgGXMJEyXErQhbkkgbb5cDULk5tDq51tttVsFW84Enfb lTcn4kIIQXdlAFicmajgdgtlyInNJqt1t2ri9Lbe2vjxy6CEW5LKSwmMMZEy3Kg5/G2LTmGxQ3bg dkt8SKuqqh+2WJ3OeMXL29W69zZL6oHdEnHhpD6drZBygWHyLcyi2/VR0IUMteekpnxCp6xW9fXf iLNrEmu798br9KZcHZVvpoRbElfKBYC1GKALS7v6M7Xch3Go9Hrdar1EXHhIygUi8TH3K4C7fwAA AQBJREFUcsff1fNq0SmstL+tve//0gRduEjSyb/5yDQfouRma2j5ULPxwmTDZLX45o2jcKuqGqrK titMzL0iLnTEKdevLLCwNvwslIK0X3b7xRB0YaJk4uLks9O92bt8SrPdhUOP3q7c1QTXaX9X3XRC 7r13er4NIu6t9FIuVfya+okFgFWYchkK0wTXkRWmBOCL8m0w3RQMii8jZAIq4GSBY+5o9si72RvX /pT2qxBCuKv3uf+Fk3KhME2mTVLr0JzJvZMqt8VeMyovQAn3CEyzDIQQ7t58/k36WiDT+eYqybde I9iX3lNUSS5tbnbDarxk/N4uERfOkXIBYAvxFXTbfwi6sO2Pq2EAAAEASURBVDvdKwCNl2FvJOJe Swn3UKRcOKrusMAbZ4wELiXoQgGSbsnjF7a9kemmYBoXE4LDSy6ZAKzJTFTARCLuVZRwj0nKhcNT OIJtxUHXhYVgR6ZfPeh2PR2VRx66+9PerjxyV7HtdBos5O/SzpR2optZ7I92tKOdtdqp6/sD66Tz 5N7/Lu1oZ0ftNB/DoQb3+3dpRzuFtdMWiOJ5khcafxvribgXPejIysW28+D/Mtgf7azfTvuxH1h/ r3+XdrSjnUvaaVJuPvujHe0csJ2JUy7v7u/Sjnaubqd6XoUQ6mfpSt3lPWH1edWs0N7VbBVvmLRT Pa/C3eC9W01jY7opuFwd3syIocmgAAABAElEQVQ+FTb55AJbqk8VJFNPwbaSoGsmKg6uzajtP8aX J9t2F8bZtX5WJ+0M3exp/PQpbS8RtOiMysbiXkikodFb1AUOwzE05KPuzERljC5caiidztP4SbJk oYdTxYVrNZ/KtpzreBcOpn44KBfYVrei67MJtxvq+dws7Om3vHBankIV9xJKuHTFYw2AQ1IvgnzU plyGWdXP6jbKJpqeyfG9IyuvScSFm0m5cFTxkTSQD/2WoXF12tw8pt5CR2WYQ63HMhxUXTt6hhyt NxPV0pNc7b19VtTtOTy+PNas0J2nqm2h2874zQ1Vn3360W+++O1Pf/bzsNZ1ivZKL2XOOncxIaBU mMyoxwAAAQBJREFUDhH3zetXsKoKIVQPf5jnfKnjU1xLvIX23j7HtlW61FEZ5qPHMhybci7kqQ5V Hf0267oMZdNReRolXCbSYxkOyZVy2dauR80t6y7UdyGEUN2F+1/ou9PUr1UIdzc/b3fRv5d4Ffbe PmxBxIW5SblwSAblsqHNR75l7e7h4MBnIbR9Lu7qoH8uLKa6/SzSVXRUnkAJl0vFPZYd8sJhJNPb ANky5TIUTMSFZcTnRPxwwsE4XIb8xVfQDYIuFETEPUcJl6vVJqCCw3GlXNgXQRfKI+LCwqRcOBjj +iAfEyfi6gZdYL9E3FFKuMxCyoWDMSgXMnHRRFxx0FXOhf0yozKsIljJXAMAAAEASURBVJ5muV0C lM41hGB34tnRm3/4FJOb9selfa92T632dkwYfzN3f7O6G8YfiuThJj7KCkTcYUq4zKt+WMX1BoOi uYYQ7Fdy+C7okpXeHNuk06H5IJLVzjY7tGEcrZt/xK1NeZR16KgMK6ofzkEVTlcVchwMJdJdGbY1 cSDuEDNRkaez6fG6hFnSSRxV3AEqbCyqeWt1i7rBuw4KtPn5bOBqKrrkb+KvzHU/RuPv+e69Ofzk ibiwnd5pqJxegYK03ZVz+MmHQ6meVxfNNTWuG3R9oslE8m4cenNe/aZNeiZ374rvnRy2q/rhetXp 09Uub5Y0N6uoB0Vd18nNbvsibh8Zg5WnbS33AAABAElEQVR1s66iLpTCoFzYxIz59k2bUdBVziUH ZyNlMoZ2xpav3qTq+1GMk20TYttw2/wjibK9ybYl4kJOdGCGEjWHF8o+UAZTLrOtpHNQPI/xlNmk xlfo1oTjrdo3f+98zlMeJXTKsEsQcSE/mXRgHvry8UMO15JyoQwG6LKh3kmMe2+GKJpe1OzIhhc9 +kXinsln7x1f2YzKHXopk4/VZmCu+v4bWRm40NCFHIAl3DiX8kSmXIazqqqaWLOt63qowFuftMl2 ZOWgigv7MG8H5uk/wN3Gq9P/Og3Ewcx45OogODf3X7Fel5LcRR0mQwgrvr7eSBAbHzQb+qaeup2I +5ASLjm7dcgSMwAAAQBJREFUogPzLWl2aDUpl0Oa6/dXh8YceVHKcj+X8rP2dghrvb5xvvWOgt4z Pk3pNUm2yYzKccG2e293+uWEiAs7NDID86UtXPfoUi7cxqBcWM4ScylPfWgzUcE5vXMjd8NqvOSi 6ZSDsbgPKOGyO/WEd2zd99/tj9vQHQsuZFAulM0AXdicKi7s3ybnZdRy4VqulAvFM+UybEgV90QJ Fy4V13Idr8MlksNfYC7rzKU8kYoubELEBW6QXNAIuJDjXSheN+gCixJxQwhKuHCD2tBcuIZBuTC7 +7mUsxQHXeVcWJSIC8xByoXLGZgH88o237b0W4YViLhKuDATKRcuZ1AuHI0BuhDL488AAAEASURB VNyu+56Jl4y8o8bfbL3NJm/R7jt2/N5NiLjAfKRcuFYOxwTAagRdrrZavg2nN2p7IYDmou7d6z+3 /07u3crhI64SLsxLyoULGZQLs8hqLuWJBF2ukAxyaYLl0L1Dq51t9rqdycThIy4wOymXROXKUmfk eYgArMOUy1ztbHC9aLWhbSdu3tRvb3msuby18eNvSwkXFlKfPl+Vj9ixVZ2b3g8D8jkygD3KeS7l ieKR+UMp1/cDXXGf4ZF3yMTVutp35tmt2nU2/y1TxQWWoZZ7cEnZ1mHZZAo4cIW959uWEMtF2rGy YeDN0/ymnF1taMOdEnGBxUi5B9Ttk9xeObk+rcATt2DCAAABAElEQVQAh7ZA6PRbTm7CeKl//N5L m21nVG7jcdLhKN4qn+5IB+6orJcyrECP5ePo/pp6xS+Xz/EBsK0cpqUlT70/EO3C5N7xm2fX7K5/ dftrUsUFFqaWW7zesm3vj5xC7mQObWG6Pc6lPF08zbJvBpjiqFVcJVxYk1ru7fKskSZ7lcMuLWb9 I0vHsqu5P/fiCd+vu7GXr7DXt5g/BJZz1IgLrEzKnV17lLPJ83mkcNtYufNVO64pU0MH2dnu8LjM n21G3c+l/GxkjRBKeX2TfFvGH0XBtjojc8iOykq4sIm4x7KT0Nfp7QNchZ5JnpYzNJvURPoqTxNf PiQjve+0+G2Z2w5ziEt64QAAAQBJREFUAMXMpTxF9wq62X1LQAZUcYEV1dERsHLudN0Tc0MjnBct 7R6vcpuDLKae6j2GHtorH21YWHIKLPdOH7C640VcJVzYVlzqcSh8u/gJrAb+ffuTPG+4rU+VQK/+ qHY+1c1S7kXJNjw8hwUsTNCFIYfsqAxszjTLSxiayvjqbswjF7llFZsdrY73Rh6huzLrKnsu5Sm6 XZeBg1VxlXAhHyagmuiKL67bS7tLT+CskDvZqlfKnfF19+LCiuKKrnIuqOIC21HLXcGlpd3pF7ll XQsWZ0YmkbqCzzVruZ9LmRMzUUHjSFVcJVzIkFruaqaUdofWZ1NLDcq9dKjtdAblsgr5tranL+4A AAEASURBVMsAXQiquMD21HxGLHRubrw2u07Z1qDNS8ycbK8eajud1xe249pCHNxhqrhKuJCzuJYb fFRX5Knej1sH5S5Xsz37uN5msAUVXbJVVVX98L1Ynd6p7fJmycSbCVVcIA9JN1rnm49Aoe8qF1dj VqjZ9nIkzZLMpTyRKZfJTdX3LqxPmnubDDzxZtcxIq66EOxCLeg+5LuLh9rj1AsOUredPMxZjIZ+ omwtDrrej2xrqPQ6o8N0VAb2Ijkmrh4upzCuHnShduqp86ZfI2oFXmJmZS7l68RfIPotk6G2A3NS oR0p2PY6RhUX2J1ureloRV0lXAYk4+v65ZNvvYdZgHx7NTOd5FgZAAABAElEQVRRsbKqqiam02SA btMVeejmuANEXIeJsF/dfpVHC7owrP+YoXrY9yGHnz/dlSEzgu7exa9X9+XrfTWnvMrdFZqthh6u vTdZEjsbTePhtWf2bzIdlYE96O29nMOxO7fTV/ly/VfK7c4plRuvMuSkO+Wyfsu7kATO5FUbyrft yz30KvduGA/hbn564naSGSKmPEoYzrTJpMojUyi3/ZaPOqOy42AoyXEqur67OCf9We9OK5UVl79m PuZSnpeZqHZn/EzE1ecprt7w0pMj7eTJ7c14Ybz86n7LpUdcoDzHCbrHoSPrVd5UYHLrmdwr2x0D HsYbQXdfprxeN15Zvd2wbSdzJo4KCwAAAQBJREFURXdUVgaBgum6DCf3/X/zf/9n3il9ykHidRsy H3MpL6fbbzncUNljNdP6Bk9abXzb5OF6782EKi6wZ0VWdI8Z1xVyL1WFUEVvk329YbzQXEu+XZqZ qApz9cvXM+PDfpRbxT3mMSIck0vpcijpZJU3dT9bW51xvl1uBJuIwN6o6OYsDp/t7INDMz81uquN N9tdHh6+K3prwlMeZR3lRlzgaLplQKe6KM/wBW93lnKz7a4MnOyiS+oBJa/CxJtnX7veDbtbdTst jzSylUI7KjuuhcPa+6V0j/z1pa/yuOFppZKT97uxr70lA+ZS3oQpl9kdVVygUOajYlZ5HdUN70xe +709zIcAAAEASURBVHlWHnt7/22x2M4s3f6B3F3zNHr+Z+fJzMjd6cW4q3tudtfsLk/WSVboNhi3 cxe9Fe7qsUdfV4kR14Es0FIY3JeMu7Bu1vlquGdyz7p5DIKaKp/f66Wft329Lrm6n0v52RVbhuD5 n0+Sbz2xW7t/AarQTDae3Lz3Ziry4U9Q00ui84I+aLBt53QzmgHuWXdnNjsbUmhHZYBYvZOsm88R PzmoLsu3b7bL/H2e2Nfesh1zKWfClMulKukjVlwV1wEiwK5lXMhd1VXhtp3Nch+zwuQ8uzIwykxU WYmvF31fjO3k1aHlF7XfFHLHm83h4tXFRVyAIZlnJ2foaFwVbt9sUe+UpDfNAAABAElEQVSqopL5 pxIYFQfdnQ2UKEgSKe97CHdy5tDyq9sPUbJ904E5g3wbSuuo7AARgF27Ld/eb/ewurIP+9pbVmcu 5Zzpt7yhs5Hy6s9Os+FFkTWTfBuKquL6OAFnKRntwjFfpjnCbdrkLroOtt2VN3zFd/A0Qda6/ZaD D9Za2hAb9yLulnDPdlQeyrRJm3E73Ycb2oGVVZ99+tFvvvjtT3/28xBCVVX1Tt+M8aUCAUbk2d0j z73a0NGekGXy7X17u3gay37FHe/f5tbSkOd/XaZcprVVuiyio7J8C0y3i6mVOdTLFP+KzfdDtrPD ykO94lwok66PTGTKZTa3/47K8i0A+7XkToRsyAAAAQBJREFUr1gz9dQ+uiu3jtZBfSaGqo64P3/i KVrZXfO/p/6rVQh3XgJWsvOIK98CV8htqGfZXTSvltvLtIS1fsX2kXJdQ+gG6pxj7q6/Vgq3ehZC 23X5rg6762DCbaqNzmvsuaOyfAvATlUr/Yq1R5P76CiouzIdqq8F0G+Zle0z4q51ZAAUy5E0G1pg cqkRu6yZ+GxCWQzQZU07jLjrHhkALEsv5RFFnolYZnKpcXu6Uq7PApF8LrPJLARd1rG3iLvFkQFQ piLjE5nbugvSPo4mfTY5kW+LJOiytE7ErR52A87K1kcGADNTwj2rpLSz6a/YzgblNna0q8CFukEX 5jJcxc3tfYvgxyEAAAEASURBVCbfArMrKT6RuQx+xfY0KLfdVR9PKFocdJVzmUsn4tYPf1cyeZ9l cGQAwDYKOBORza+YQbnsiLmUj0O/ZeY1UMWNf1c2f5Nlc2QAFGjD+KSX8kFk+Su2jyPIAs5uANMY oMuM3hq8J/5d2fA4LMsjAwCYJL9fsbre4YFjldETyMUmvuEe9qQ3l/IxJT1Nmn/saZAF01RVVScf +dOr3i5vljQ3k3ur6Ful7nt/nJtROSnnrvyjmN+RAVAglaL87fQ1yvVXTHdl8iffHpmZqMpW9b2i 9Ulzb5OB25vJvfGS3ocYruK+ecBmX9qdWuv3JtcjA4AZ6KVctp1cwr2q9lAeqU9mhcDKAAABAElE QVQn2fPfVXqdfZNJMPSJT8Yp55YkTqoLmXxd3JWnoZJvgTXttEh4KDt6jfaQb3d5DSHgeAzQPZS2 A3MTg5MkHHdv7t4bmxxxG+tMQyXfArBT8U9Y3r9ie6qH7OgEB3MwlzIxM1Ht2ngWTdaMOx4n/ZDj e7v9lhMXRtywfDlXvgU2seYxtF7K18k/5+ztJ2xPg3KBYxN0d2pkxGwjHnw7ss54I4kJY3F71Q9H 54aZfs73dnAAAPf2/BO2g0G5RuQehrmUGWHK5QIMZdreaZOTCZbDw6G8N0w3NWT2aaj2fHAAlMAx NFfb7U9Yew2hHaRcjkG+5axu0PX1tSNJLm0H346spkgkkgAAAQBJREFU1rvJiMs7KqcPPke/5WrH BwcAl9FL+RZ59lXe+U/Ybg4N83z1gY3EXZf1WyZ2c8Rt3DIN1R5mngSOwjE0l9p5vm0YlAvslAG6 dM0UccO15dz9zDwJMAMl3NtldRqiiHwby/3oMKtXnwWYS5krmImKxHwRt5GUc8ffXsUdGQAlcAzN RGX9irlSLrBrgi6tuSNu6NRjh95bZR0ZALCezU9DFDqFxD4G5W7+6rMYcylzu27Q5YAWiLiN8X7L JR4ZAOVY6BhaL+UyFD2FhEG5bEi+ZS5mojq4xSJuo7ecK98CsFOHmUIi6yNChVxgAv2WD2vhiBuG y7lFHxkAu+cYOnObvKAg6z0AAAEASURBVEDH+AkzKBcohgG6x7R8xG3UozcBiqeX8t4dI982djAo 10mo4phLmeUIukezVsQNp3Ju6T27gHI4hs7cCi9QFf0XP+gBGJQLFEbQPY4VIy4A7EISa1uHybex fA8BnYQqi7mmWIcpl49AxAUYNtcxtF7KC5kx5HQLtu1DHLULkkG5QKlMuVw2EReAAxsp2B4y1iZy H5SrkAvcQL/lUom4AKNuP4ZWws2Ngu0lDMoFCmaAbpFEXAD2bPo5CAXb22R62KeQC9xM0C3MW1vv AED26lM0koJ2Z+gYxUt5ibp2tAeUL+m00vwj8/Ea7dW22gnbmiXJ/G3d1YZaO7th0v74za3wZEEP AAABAElEQVSIuABL0kt5Bd1zEJLt3JqUW1VZHu05CbVn1fPK60ZWukE3x++9kzhb1s/qNqMmYTVZ rbep3mtTj7eftDb06OvTURlgAp0hd8EI2+Up5zKvzas90OuAUy6X9GFUxQWgROX8Uuei7a6cY01D IRdYQDxMI9t+y3Hf4KayGgby6tXF1XbDbvu9j745ERdgmiuOofVSXo0neRUG5QJHk/8A3d6ew72j am/Mt6GvK/LQzVv+otvpqAwATJXvNYSMJtihzY+DYaL9TrncfMquyLdXb5gDVVyAyXSGhJMcuysD LCnDmaiSGY9HOiqfnVR5KNPGGybtj/db3lD12acf/eaL3/70uvw0ZQAAAQBJREFUZz8PIVRVVW/+ QgHkbHrfY72UKVd7hJfdUUOen7sMuzZm4M2R9NLPj+efBcRVXG+uIVulS1VcgEso5IJBucwhrfOc fUuJEeRkFzNRHZaICwBcLNMr5R71JNSuB7VOfK2u/hvr2zaHQXfN/5766DZvsTvvtO2JuAAXmnIM nWdvSVhAdin3kDYf+Xa9KqTfmAN/yuBfOK1HwY6fIjL3LIT4bXhXBxXdk2og8Hc7MFenZ7Bd3iyZ eDNhRmUA4BrtoUVenZZNrbwHPTXV9kjVa8cO7XfK5fVVfU9NfdLc22Tg7s22hfjeLlVcgMuNF3KV cDkMg3K5SfLmqU9LLvoWPVsv8/VztnEAAAEASURBVB5lLRlOuZyhkWg6F1VcAOB6OV4pVyE3b/dz Kfe+QHEe8AqyT3FFVzn3Im0H5iYGx/2Zm5sT2xFxAa7iGBoechjHRA+GxXZrXLVOy5RAv+XG9Gia BNqkK/J4z+SEiAswK72UOZ4cB+U6CZW5s1+VUi77Z4BuOEXTkRXi0bZzPaixuADXOurlSaDLoNwt lXpRznhobnF/HMfRHaAbSvy8TjeUaXsLtnG/5aGbXaq4AMAMshuUq5Cbpep5dUFvF7VcStGt6B5W O3lyezNeGC+PE+z4zYSIC3CD5BhaL2U49qEb85NyKYiZqNYh4gIA88huUK5Cbmaq51V9V4dw4alA KZczSxDJAAABAElEQVSyGKC7NBEX4DaOoSFy5AFmnHVNvr3f8vQPX7YUwUxUixJxAWailzKEEHIb lOskVDGkXIpznKBbnXSXL/FwIi7AzcRa6FPqsRpXuv08YJxyvbsoxRGCbjuVVJxpF8q3QcQFmJOs CyGE3LorK+Tmobqb4zWI31peUwpytCmX570QbkLEBZhDLd/CA3l1V2ZzMw7lqHVaplgFT7ncdFRu Yu2i+TaE8Fbfww+u3d2TduWRu7SjHe1oRzva0c4x22nX33h/6vuurVX3ruX3pz4tL/95HmqnCtVd Vd/V4VlvO83pkAv3p+dfgyuHzJ8f7WhnuJ3uW3dHf1d8WisJt20v5SXiyAM0JgAAAQBJREFUbk/E veghRlbWjna0ox3taEc7R26nri/OaYvuz2btDISrGfdnZP1Mnp/6rm6OdWfenzcnLa5sKpPnRzva 6dV+hcZBd0d/VwhV74ezzbQLlXN1VAYAlrLAocu1kkTEambsotzVNuuVpUR1KTNRtTMqL9o/uSXi AgALao5ndnpYxg5IuZSugKDbzqjcXb7Ew4m4AMAatj8mU8hdXxVCmGku5RFSLgfQDboMEXEBgGW1 h2WOyY5lzZdbyuUY6nKnXJ6RiAsALC6XQbkKuaur7qr62Sovv5TLYey93/LSemZUBgCYXTPBcnIo lkv0ZXanWabqNS8aXp8ed9E5riADyTQHQ72m5SsAAAEASURBVJfFOiZVXADgSBRyyxYf4nuVKV0B M1EtQRUXAFiVOZbLt20RNT6L4W1G0arnVQgh3IUQQrhrLzbbU85t1hwfNVA9T4cV3LcfbZi0E9/s rrwVERcAOJimO2u1bgY7m+mL6WIY/aHdI+b11PIth/DmI/YsVM+rJugm/ZbbT+LIR7INqL2NNxsm 7SQ3k5Vn+vuuoaMyALAqXeku0zxfI//lKYfAnsM+wLqu7re8eel1Rqq4AMDxrF/ILaZIOy7qorx5 Jed+T0xARdG6PZDr+k05N9xXdOvw7KaHaNpvKrdhOA9P6Q69AhEXAFhJUl4IA2PGeODsE5RrIXfz w9weK/dOh4V/kABEAAABAElEQVSN9A3unXL5ftTuJeKWz3Z4Ptsdeh06KgMAG9g+2ZpaeXY5V0rj q+Z60TmOu+rBl+1dPfGcWFOP3TysXkcVFwDYRnul3O3jLrfLPzfGE1Ap51KEZBLjoY7E3a7LQ1Mu j0+qnLSf3MxnRuXqs08/+s0Xv/3pz34eQqiqqvYjAwCspa0nbHYAskLhMZnbdHftT92NEMKbZzKj 4k/3+YnTeB77CKuJq7hLf21slS51VAYANvPmmhb51wAZkXMX5a54P/Vb5mCunnJ5R3RUBgC21HRX 3u7ht7hG7gJ6r2m5nrsQQgjPHyzbeJdO7sdcJztz93Clh3t+Wft3IYRQ3Y2vBTm5U09wRQAAAQBJ REFUa/43nnI5hLv1PrDd6m51+hlollfRr0K8ZOjetH0dlQGAzW3Z2bY9WFro0YvvqJx5Cffs83Nj v+XNn3+4QXKGcd43cm+6jMPq2U2am+3C5OYQHZUBgFxsU86N59rlUgU8aUm/ZTiSuu65nNvCjzg1 Rl9dfxVxAYDtbTwoV8q90d5LmLWrCnFocdDdcIDuUKZtKrdx/+TkZkLEBQCysHFPTyl3QPW8GhxV 29dFOZMhuNcwDRXHtsRMVONZNFmz20U52re6vVmfDLUs4gIAuWgOYDabfWrvpcgMZHStoOvU+i1z aN1+yzd+IcfRtFcTU+edE8qMygBAdqpqo6JuKRMsr05eGV4AAAEASURBVCHzWaZucT8Lc/S/Rf6Z MCA52zjvlGpDmTaeVHno3mRG5aFULOICABnZ+BpCLSn3Kvsu4SbqqIrr/cDxLBR0k1za3OxdOLTk bL1XR2UAIC+5dFfOIWln6yC1TdNQcXjrT7l8O1VcACBTG3dXDjPV7sq7YuoejnHnlJRzw96y/ZTX a19/EauLzzzmfyloVVwAIDsbX0MoqOVO0DnA3fFcymdlPg1VNfofzGSJKZeXoIoLAORo+0G589Zy izFQxtz9XMpTbDUN1e0fhNJfGVaz6ExUcxFxAYBMNSl3s+7KQcqlT7ff8qWWOHfj/cmKMg+6Ii4A kDspNxfDpcvyS7ixuJxVOrPiAAABAElEQVQbOv9e7hEhJ9kGXREXAMhX2105i5R7cJ6ExC1vjAxi AMyiG3Q3T7kiLgCQte0H5YZTmFHIDZ6Bh+p1B+VCrrKactmMygBA7ja+Um4sh33YxGiQK3kuZWCy TK6gK+ICALuxZcp1GaEBh5hLGZimrrfvqCziAgA7sP2VcsPhU+7Wh63AXmwbdEVcAGAfNq8MhHD4 lNtHCRfIiogLAOxGFoNyj5lyxVhgJ0RcAGB/pNyVFP8HAsURcQGAPcliUG44Rsqd8KeZSxnIjYgL AOxMFoNyg7675lIGciTiAgD7k8Wg3HBKuZvvxhJGL4QLkK23tt4BAIDrVVUeRd2qrDQ4LbQrfQjS HQAAAQBJREFU4cLmmsEC8Yext3tFd7XeppIV2pEIzfJ4YEL9rE7unfgoKxBxAYBdquv7Ku7GKbc+ BcLCUm4o7s+B4oyE0t7VRgYX9G4YZ9f6WT0UZZt78xm5IOICAHvVptyNFZZy+7oon51WKpNDWyhb +42XTLzX3oyLqz0b3g223Lvhmy/Yu7iRKtzV4Vl6b3dntmIsLgCwY3kNyg37H5e79/2HotX1/X9R vKzC3ZvPbf+X4V19v9rdYPrs3bB5rHbD+5vRvWmzd1W4qzb/QlbFBQBKsP2g3JJquZ3973aGVLaF HCQ9kOs6VM87K92dOioPfz31b9h2Qr57czPc1XHROG727KOsQ1eB/0sAAAEASURBVBUXANi3zTvF vbH3Wq5ZlGEP4jN6VTXWjaXtezy+2tCG9/l2+ARit9nNS7hBxAUACpBLd+Ww55R7yQ4r4cJWHgTO Tg/kNpo+2GZKR+XeDe/LttWbe6MSbnPXm27MzWjeu+27eFSfffrRb7747U9/9vMQQlVVdUYnQgEA purOwrKlNcuhs0zw0h7WdprJ5Cog15t45uPqJ3DhCXZ2//wzq6Sg2t5M6rrJv3tXG2882XBoB86t vE26NBYXAChBLtcQut+bEKodDsrd197CIcWn89rvvWSC5eRrsLvaULO9mTZuJAnY7V1DSwYeK42+ 7RRVzfJ4xqq6rpN72xWG8rMqLgAhKv4EAAABAElEQVRQjkwuWRHCWF107geqQgjtZDAk6rsQbnh+ 6mkbev6hx11PCj2TTh8G0t6b7cKh9KqKCwCUo6kzZFTIDSvVcq/vyHouiicdZfc3l/LdbR197yb1 c17uOdFRmf2q+j4+cVX2zObX1l9FXAA4L4t5jLhEXi/ZkjvTHADO8PcOtXD3sP27zJ7bc25+fs4c Ydehuq39c+7Csu1DNkYy7XjtNyHiAsB525cEuUSOU0+FxWq5t/TNnjAtVnOpzKj9Ojy76rG2snTf 9YXb7zz/sBtVdUE0He+iPN4zOeGiQQBAafLKA9leRii3/QGKU9f1eChtMvC8c0Kp4gIABcpoUG5Y e1zu7mW+kgAAAQBJREFUZXLbH6BoQ5k2nja5W9Ft7wrRaN6hVKyKCwCULJdBjLnVcq+6cm8z9dHO NFdWAfJQn7Q344XtzZFNwrnisIgLAJSpe6nGjcUpd9tduurR9zeXMnBIIi4AUKzsqnfx/mwevHN7 cgDmIOICACVrUm4uhdwQQr11p+WruigHl2YFdkLEBQAOIaOUG7ZLuVk9CQALEHEBgMJlNyi3sWEt VzkWKJeICwCUL7tBuY2VU+61XZTDTudSBg5JxAUADiG7QbmN1VLube0biAvshYgLABzLcVNu0EUZ KJ+ICwAcRaaDcsPyKfeGLsoA+yLiAgAHkumg3LBkys0tzwMsScQFAI4l08brs2MAAAEASURBVEG5 4WHKnX33ss32ALMScQGAg8o65YaZUq4uysDBiLgAwOHk2105hFDP12n55pDsWkHA7oi4AMAR5dtd uXF7ym03zDnPA8xNxAUADq3klBtuzbcuhwvsjogLABxUvtcQal2dcg3BBY5KxAUAjivrQbmNK1Ju tokdYHkiLgBwaLkPyg3X1nJvTu/mmgL2SMQFAAihmJQ7Uxfl6nllIC6wRyIuAHB0OxiUG6al3Jz3 H2AVIi4AwB4G5YaHKXckzc7xtyjhAjsl4gIAhLCLQbnhYXxNdtUsygAiLgBAYgcpt9tpOfN9BliL iAsAcG8fg3IbvdXamUq45lIG9kvEBQB4Yx/+oIwLAAABAElEQVSDchv16M1rmUsZ2LW3tt4BAIC8 1HWoqlBVe4i7tS7KwM5UVVU//HqtTj1n2uXNkt6bVdTNpu77mhZxAQD67SPlNubbTyVcYDlV3ziQ OMrWdZ1k4G4k7k22LR2VAQBSexqUC7Af4+l0FiIuAECP3dRvAYoQV2urqorrveM3EyIuAEC/fVwp d1bmUgZmNJ5FkzXjAm9d102P5e7N+mSo5X1E3InPCwDAEg5yJGIuZWBeTRYdWaEJet3RtreYNN1U +5BDA3/HZ7hKpsOKt524MgDAJprZlcO+pp6CyZq6vVMbLKpbsEx6HXfXaW8m9w6tFqIIef2MyvHD JAF4fP6roV0Zl3MKywAAAQBJREFUWhkAYENtyi1S0jNZR2XYkfgD25ynGDpnMeVcRrcfR9t+u7y3 nXbDTM6YnI+43dzczuN8Xf/h67ZNCsXxP5JxyUIyADCvHVwp9+yRVb67DlwpSZ5x1Ixz5pQxCL2n t+L262d1bzvthkOP3tNsJwwm178NfR2E4w17722dj7hxoO3trtzdxfEL9fZe53foIr/Jn92bYLt7 CACwhKxT7lWuO/AF8jHLKPomwV730Bdt2JvX4mQ7VBBtN4yDbm/KPRNxu32gk8TcLOkdRpv0Wx7a dnxlAIAc5N5d+eYDJ3NNwd61afO6jspD4i+HuJ3rvjSuC3oXlTPPRNze4u0tvYL1KPmkYd8AAAEA SURBVAYAdmoH3ZWvJd/CTiX5cyh8Xh1Kk02SduJeytf/DW3jD68SFKIaajI91XiQTCPuUK/ocb1d ots8PDJJ8vSV4+W9vbeTmvCU3QYAuFBztBNCyOVgozn6ufXg5264hbs52i/XPM//iLvb2r+btNb5 fDKtHTYQf3jbf0f/aP5Ll09o6s22d8PtP1x50qMM6ObY0BcPmyXjV+FJI+7QINjpd42s1l140cpn V5t4LwDA1R6en8/AXBdcfDbQ/HMXdBy18AUvb3z+5xpK7Q2Qp/tqavThrcKpI/Gz0wpNGfLh8t6m QgjhLqrT1nX1vGrPbtwv72tn6FGmBN0pMxknI3XPtlkFx5r3AAABAElEQVR99ulHv/nitz/92c/D njsP73fPAYDdaQ6xcjn0WHhvMrkKSL5ue/5ni6DXvkBeX5bTnYwp9E0znES5kTmTx2dUHrsu7l/+ 778c2st/+tf/NLTyyF0rtNP+PZnsj3a0ox3taEc72im4nX/9T3/5v//yn3oH5W6yP+36mTw/2rm6 nbl4/2gnh3Z69V6Lp1ub7a3WJnMhDz5EGVVcAIA1tcdX2x86NQeId1vvxlHVd5NW8wJxRHdnLmA7 r7EqLgAA49prCGUywfIt/VTHt9WR9Yy7Scfu2XYk9vqynHaeqpXLqCIuAMA1cr9SLmvK4TwH9Prj H8NXX01d+dGj8OjRgjuzIkPyOwAAAQBJREFUChEXAOBKBVwpV/kOCvHVV+Grr8LvfhdCCL/+9f2S P/7xmqa+8Y3w3e+GEMJ3vxv+xb8Ijx6Ft9++X7IHIi4AwK12nXKBXXr1Kvzud+H//J/w1Vfh1avB 1f78z8M770xts0nFf/rTfYNJs++8E95+O/zFX4THj8M774Q///Or9ntxIi4AwPVyG5QLlOzLL8Or V+HXvw4vX6Z3vf12ePvt8C//5Zsa7Ntvh29+85pH+dOfwpdfhnBKvP/3/4avvgpffhl+97v7KvHz 5yGE8N3vhsePw7/9t+HJk+v/ogWIuAAAN9nvoNyzc00BWfjyy/DRR+HTT8Of/vRm4TvvhMePw4yE ibUAAAEASURBVF/8RXj77fD48ZwP941v3DeYNPu73913h/71r8OrV+HLL8OXX4a/+7sQQvjhD8O/ //fhhz+cczeuJeICANxqj4Ny5VvI3Z/+FD79NPzkJ2/mi3r0KDx+HP7dvwuPH19Zob3FO++86fPc dGb+X//rvr/0P/5j+Md/DI8ehb/+6/BXf7XBvkVEXACA2ewr5YLTHPn62c/C8+fhn/85hBD+/M/D f/yP4a//OqPpjr/xjfDkyX0X5T/+MfyP/xE++ii8fh3+638Nz5+H//yfw7NnW+3an231wAAAJWmT 7V46Lcs2kKkvvwz/6l+F//Jfwj//c/jud8N//+/h//2/8N/+W0aJOmxmAAABAElEQVT5NvHNb4a/ /dvw9dfhl78MP/xh+NOfwt/9XfjWt7bqtSziAgDMQ/0WuNXdXfg3/yb87nfhm98M//N/hi++CH/1 V+Eb39h6t6Z58uR+n995J/zxj/8zhPAf/sP6e6GjMgDAbPY4KBfIRdM5OYTwt38bnj2bkmz/f3v3 E9rI3ed5/FMQGM1NDQNRn1rNHqKGZUYNC498anueQ2TmEDfzwOM+jU0Cj80e0s12aOd5YG0fdt3N 08TO4aHdJMGeU/sJvbQDO1iBHazABitkoTXwQKthHlphD1FO0e5ldFjQHkoul+ufSn9KVSW9XzSJ 6t+vvj+7LOvjX/0xtg2dn5RhvjZ5p2EeyQAAAQBJREFUnqYRfAW+e6nVoDXfvju/vXc3u3r5Uvv7 7fX17OGhJB0c9O3IGBFxAQAAxi/hKZd7TQGJc3Ske/ck6eBAKythtrB+kK0XwQk2uCn3THuU7W52 He8bjr07Vtba2sL6+stMRoeHyuW0sxOmR2PBicoAAADjlPyLcsm349TtJvqPGUiLTqeXb588CZlv B9L3pz6K94S6pBcvJGlvT63W2Nv3Q8QFAAAYMyIPgMFUq2q1VChobS38RubIqj2+mpOO1Ub8q1bf 9oP2VS6bN6C6d/WqYfuzn2EYRmR/BSTiAgAAjJ+ZcpM5kMsQLpA4zaYklUoDbWSdIWxdE2ufdKxp zgwOqJZCh+kAAAEASURBVH67sCb92vdcuefWLUm7a2vdbteMtYZhdLtda3LsiLgAAAARSmbKBZAs uZx0HnTHxxF9FfovXFYeDv8XMd+Vf/pJkq5dC9nO6LjdFAAAQCTMuysDQH+lkjIZVauq1cKP5drH b+V1A+Tw/DKtvU3H7hyT3gU0mzJvqlwum4O33ns/f6+0VjDnhJx0tvb86Om3Z99/sveZzoeMA96L 3Y1YKwcsoh3aoR3aoR3aoR3aoZ2o2jFP/FM3bDtbhrb6rGxf1PvMuuX7iTnpX5+0t7PV+/onpR7a iaydXd27q722sgs6rasYez2jt3PFaP+cv6lmU6WSUauZB7E9nbpD73kgvTReVtCQAAABAElEQVTf mnQs9cvMHqO4PmE4bCdph3Zoh3Zoh3Zoh3ZoxzLQh8Xh6glY3zG/N0SzGW09tDPWdrqSPL9lKe8X 7bgWdXZ0u5GtVF5mF3Ry4jeWm5p+tVqnuqqmVCxeOc+3kqK7BNfCicoAAAAR6p6frmxE+aTc8LeQ GfRmM6NsBWAgmf+gF/+q8r+2NTe3V9L2vNqZuGsaXOb/6W5Nm1UVJeXzevGiff2641RkzzON7aOy waciByPiAgAARKsb/UW50d0k2XGtHYBo/ae2Hj3Sw4d3a7rbzGlzUysryqQn6R4daXtbjYakI+le s9m6ft2dVN1zHGcdB5+KHIw7KgMAAETO/JDG2A7HzQAAAQBJREFU3acA9JHNamdHr16pVFKrpfV1 Xb2q9XUzNCZXs6mPP9bVq7pzR42GCgWdnNyRfux2gzOq/TFC46qFUVwAAIDJifR0ZQBTolDQ2ZmO jvTpp6rVtL+v/X0Vi5qf161bKpeTMq5brerrr3s3gjYVCvrww4CRZ79Maz+T2bpe11wneNKNiAsA ADAJk7koN8BAj7gEEL/lZS0vq9HQp5/q6Ej1uup17e1JUqmk995TqaRiUdnsRKuqVtVo6KuvVK2q 0+nNzGS0vKzf/KbvE48cudRKrWFW85t0IOICAABMyAQuyvVDvgXSqlDQkyfa3VW1qm++6Q2Zmv9M uZwKBd26pUJBuUjrtbAAAAEASURBVNyYQ6+ZY2s1/cu/qNFwni9dKKhcTtbAsnfETdoDlWiHdmiH dmiHdmiHdqalHTPl9gZyx1WPtX5AO1uuNhP59aEd2qEd73YyGZXLKpcvVt7YUK2mel2tllotVau+ jUja3HTO2d72XmSm6ADz8yoU9ItfqFxWLifD6A0sJ+YaDK+IO1BxASvTDu3QDu3QDu3QDu3Qjg/D UNC5doN+WPRb/3x+V97PVg2709R+nWmHdqa/nVZLjYaqVb1+3Yu77ntTWYHWLWCROT6cyegXv1Cx qEJBhUL/euLGicoAAAAT1Y37olwAUyWXUy6n+Xnn/FpNnY534vWTzyufl6RSKTknHg9JaupbAAAB AElEQVSKiAsAADBp3fguyh0UV/ACadXvzk/TiufiAgAAxMAcv51M0DW2U5KnAWBkRFwAAIA4RZ1y uZcygJlCxAUAAIiHdSFuWk5aBoDkI+ICAADEZgK3m2IIF8BMIeICAADEaZIX5QLA1CPiAgAAJAIp FwBGR8QFAACIWXQX5XIvZQCzhogLAAAQvyguyuVeygBmEBEXAAAgEbgoFwBGR8QFAABIlnGlXIZw AcwgIi4AAEBSTOAZQgAw3Yi4AAAACcLpygAwCiIuAABAEo2YcrmXMoDZRMQFAABIltGfIcS9lAHM rLfiLgAAAABO3S7nKgOIRrOpZtNjfi6nQmHSxUSAiAsA/sMGxQAAAQBJREFUAJBEZso1jGHuQcUQ LjDrOh3Vamo09MMPvRet1gCbZ7MqFlUs6to1FYsqFJTLRVbrmBFxAQAAEm24lAtg5tRq+uMfVa/3 CbTz80EtdDqS1G6rWlW1erEok1GppEJB776rclmZzLiqHjsiLgAAQEJZpyuTcgF4a7VUqejrr1Wp qN2+mO8Yhi0Wlc0O0KznILAZevf3Jalc7mXd5J3bTMQFAABIriEuyuVeU8D0a7d1eKh//EfV6xcz C4Ve8iyVBgu0bpmM5ucvjfeaodcaKK5UVKno3j3l81pe1m9+o3x+pD2Oj/H86Om3Z99/sveZJMMw uvyFEAAAIGHMlOv9Me3yMg1nuuoAAAEASURBVPItMOWaTX36qQ4PL8ZszVi7tDS5kOk5dLy8rA8/ VKlkreWXLt3zjfO/5JnzDdsf9rrdbvBSd/s8NAgAACAduMcyMNNqNd25o+vXtbendlvz83r2TP/2 bzo50d27Ex1EzeW0sqJnz/Tzzzo50fKyJB0daW5Oc3M6OgrY1PB6I+ues6dZU9+lbkRcAACApAv/ pFyGcIEp1GppcfEiPa6s6OVLnZ5qeTn+2z6Vy3r2TG/e6O5dZbO9HH7jhmo1z9UncNYwERcAACAF uJgMmFGHh7pxQ5WKslltbOjHH3VwoGIx7rIuy+e1u6s3b7S7q3xejYbm5nak3v2Zw7GfwGwYhn3Q HwKKAAABAElEQVS815z0W+pAxAUAAEgH89MdpysDs6LR0NycVlfVbqtc1qtX2tlRLmds27LfthEw 2Xe+Yx3Praz51qRjjxevP71i/J97evVKGxuSNqTGX/7lXLj3LHuC9Tsz2Zx0L3XgjsoAAAAp4/cM Ie41BUyPw0Otr6vTUS6nnR2trJizHfHS/JE3Xzgm/Vbz3JtnALZWtjZ0bO5bzE5X773XmJsrSGeS Pv5YOzve+zUMM6yO8QRmRnEBAABSI+CiXPItMD0OD7W6qk5HKyt69crKt4rsevvhmg3aqlS6KZnD uXr4UKur5mxz6NU9AGucs7+2bqEcMOnGKC4AAECaDPGkXABpYuZbTMs47AAAAQBJREFUSZub2tqK uZjLfz4zh209k605jGyf05G0s6Nbt3T7tg4PJengwJFLrXsmu2eGnHRjFBcAACBlPC/KZQgXmAYJ zrfdza75z++yXnOpc265rBcvlMlcdC1iRFwAAIC0YjgXmCrHx+PNt31vMRW84dguf7Cn3Ohzu/H8 6Om3Z99/sveZLt/GCgAAAElm5tuuDEmGzJP9ItiL/3mJtE/7GKdOR9evq9XSxobfzZlkS63WvZ10 +b5Q8rpNVN9vtLtZx2itfdKxO99iHOmyUtHiojIZvXypQqHPV2MERFwAAIBUmkDEdXzAHXPrtD/t 7WMw9+5pb0+lks7O4i5lPDzS5fq69o+3qQ4AAAEASURBVPe1tKQXL6LbLycqAwAAAECsWi3t70vS kydxlxKl3V3lcjo+Vr0e3U4YxQUAAEgl9yiutrg2F0ilnf+hjf+p44JuL8ddyhhted39eG9P9+5p eVnPnkW0WyIuAABAKrnvNcXnOCCtbtxQo6HTU83Px13K2Hiny3ZbV64ok9HPPyuTiWK/nKgMAAAA APFpNtVoKJtVqRR3KdEzu9npqFqNaA9EXAAAgFTqdp3/AKRSsylJpVJEo5qJ8+67kqK7HJeICwAA AADxMSNuLtd3RcPo/XPMcazjt2HfxvvuzrGmfanfyh6yWUn66acQqw7jrYjaBQAAAAD01+mEXNE6 WcMw1O0k0RrnAAABAElEQVT2/mvnl2/N1dzrB2/o2J1jTUeznit7MwerQ/d6UIziAgAAAEB88nlJ ardHb2noCxZCbtg/vobRaknS22+P3JA3RnEBAAAAID7mKcrhrk3tPS2s6z3pyRzv7btawB49B4Gt Zv1q8/X6tSQVCsNUEwKjuAAAAAAQn2JR2Wzvvsr9mKcEW9nSMenJOpE41IWyXtvaJ81GrDTrCL39 99Lp6PhYUnSPRyLiAgAAAECslpYk6enT8bY6RKa1b+getrUy7fCnK1cq6nRUKoW5vdZwiLgAAAAA EKsPP5Sk/f3edao+rLsWWznTPildGmK1uFfzbNm9ofrdJ9nerKM2X9vbkvTgtJpICgAAAQBJREFU QeBKIyHiAgAAAECsikUtLanT6SVAH+6HYHtOWnPsL/per+ve0O+x257NhnpA9+Gh6vVeZyNDxAUA AACAuO3sKJPR/r6q1bhLiUazqXv3JGlzM9L9cEdlAAD6G/pyJgAAwils6cGmttsLtxd0Wlcx7nrG qtnUwoLabS0tRTqEKyIuAABhjOExgAAABOts6PZ32UrlZXZBp6cqpjvlXvx12My3zaaKRR0cRL1f TlQGAABIl+pHhrePqnGXBmAUmYxevFC5rHZbCwshn5SbdPZ8e3qqbDbqHRJxAQAApsTjBVIukHKO lFupxF3QaGq1CedbEXEBAABS6v5p1+bN52VJeipMuVMAAAEASURBVPxP1ZjLAjAie8pdXNTiYvCT hBKq09mRNDc34XwrIi4AAMBUyP/yV2VJ+tOfmzFXAmBkmYxOTrS7q2xWlYpu3NDhYdw1DaJW082b G+brjQ2dnU0s34qICwAAMBWa//y8Iqn8q1/m4y4FwHjcvatXr3rDuaurWlxUrRZ3Tf2YTwaam1Oj 0ZB0dtZ7GNIEEXEBAABS6fGC/VZT1z+oSOXPn7yfj7suAOOTy+nkRAcHveHcuTnNzenoKO6yvNRq unNH169rb0+SNjZuSiqV3CsargfxWW9knmva3+ns6/sVQsQFAACYFpUP/lCNuwYAY7eyolevtLGh bPZSkmy3465MknQTdbL6AAABAElEQVR4qJs3L7L3yopevtTOTsdrXc9oat1UwL7Uem0ttea7V7Yj 4gIAAKTS5dtN9e439XiBeyoD0yiX086OfvxRT54on++dD3z1qm7f1v6+ms1J19Nu6/BQd+7oyhWt rqpeVzarjQ39+KMODgKe6NsN96B5M8cGz/FDxAUAAJgG+fcf3Je43xQwzTIZra3pzRs9e6ZSSZ2O jo+1vq7r13Xjhj7+OPKLdet1PXyoublesj06UrutfF5PnujHH7Wzo1xu6LatEBs+zXp6a+gtAQAA kCDVf3ocdwkAJmR5WcvLajZVqejrr1WpqNHQw4d6+FCZjEolFQq6dq33YujY2W6rXle9lojjlQAA AQBJREFUrh9+6L2wnxpdLuvdd1Uuq1Dwa8A8lzhMXnXEWvtlt+Y5yeFDLxEXAAAglR4vGB6Z9v4D bjgFzIp8XmtrWluTdCnrVquqVi9WM0Ov5dYt3wa/+06d80toHYHWlMtdJNsQzwHqm0s9E6zjstu+ e3Eg4gIAAEyJ8udvTgi4wGwql1Uua3dXkqpVNZtqNvXNN70X9sRrfx0sl1OhoFJJb7+tYlHF4uiP t7Vukuy+1NZ84c607gAcPDhMxAUAAEiX+d93u7+PuwgAyTU/75xjxdpOJ+h6XXuILZWieJ6tI5ea k35h1W9p8NAuERcAAAAAppo99JbLsZUxEdxRGQAAAAAwJZCNRB4AAAEASURBVIi4AAAAAIApQcQF AAAAAEwJIi4AAAAAYEoQcQEAAAAAU4KICwAAkBbNLxaNyz6qXiytfuSzAABmBxEXAAAgLZqNit+S LxaNhce2GY8XjMUvmhOoCQAShYgLAACQEs0//0lS+fM3Xcvv5yWp+cX6BxX7otP7kiofrBNyAcwa Ii4AAEA6NP/5eUXSv/93ee8F5c+fvN9bNP939yWp0mhOrjwASAIiLgAAQDr0TlN+vOC83Db//km3 2+2enAdcNb949FiSyoW8qxUAmGpEXAAAgFQwT1O28bnctvqRcf0Dx6guAMwKIi4AAEAqmIO455fb nppnIn/wh+qllaof9e46df8K9oh7AAABAElEQVTUNqoLADODiAsAAJAK87+3n408/x8/L0vSn/7c vFjl/ATl+6e9+1ABwKwh4gIAAKRB76m3zufdum8+Jd3/u/lJVAQACUTEBQAASIPeTZIfPzIvv63+ wbze9tINpXr3nWIEF8DsIuICAACkQu/U5MoH1w3DOL/i9sGl622bXyx6jfQCwOwg4gIAAKRD/v2T N+YFuJLMG08xXgsAl70VdwEAAAAIK//+Sff9oRcDwPRjFBcAAAAAMCWIuAAAAACAKUHEBQAAAABM CSIuAAAAAGBKEHEBAAAAAFOCiAsAAAAAmBI8NAgAAAAAMCGGYXS7Xccc84V7vjnHXMH+2nN9ExEX IVsfBwAAAQBJREFUAAAAADAJ9oBqsZKqPf1aa9qDrvnCM9laOFEZAAAAADAJwenU4h7pDY9RXAAA AACYDc2mmk3nzFxOhUIMxVzmHq0NWFP+aZmICwAAAADTpdNRraZ6Xa9fq9FQtRp2w1JJhYKuXdP8 vAoF5XKjVBGcRR1r2lezn6XsWNPzrGY7Ii4AAAAApF+7reNjffWV6nWPoVpTqaRMxmO+lYFrNdVq krS9LUnZrIpFvfeelpaUzw9aUd9wa8ZUR1h1hFjPy3cDEHEBAAAAILU6nV6yPT5Wp9ObmcmoVFKx qHfeUaGg+fmwrdXrajTUaOibb9RoqNVStapqVffuaX5ev/61lpZGGYPsQ2MAAAEASURBVNo182r4 myqbczzvqMyJygAAAAAwRep1PXp0KdkWi/qHfxhuxPWihWLxYtIaGT4+7mXd9XWVy3rwYIDYbOPI pcF3SLbme47x+uGOygAAAACQKvW6bt/WzZs6OlKno2JRu7t680YvX+ru3eHzrVs2q5UVvXihn3/W wYGWliSpUtHCghYWBrjEd4KIuAAAAACQEla4PT5WJqO7dyNJtm72rLu5qWxW1Woygy4RFwAAAADS YGvLGW53d6NNtm7ZrLa29ObNpaC7uqp2e6Jl+CPiAgAAAECytVpaWOjd5dgKt6M90WckjqB7eKi5 ud6tmONGxAUAAACABKtUdOOGqlXlcjqlIjbvAAABAElEQVQ7iznc2plB9+VLlUpqNLSwoIcP466J iAsAAAAAiXV4qMVFtdtaWtKrVyqV4i7IJZ/X2Zk2NtTp6OOPtboabzlEXAAAAABIpKOjXmJ88kQv Xiibjbsgfzs7OjvrnbS8vh5jITwXFwAAAACSp1K5yLdra3FXE0KppNNTzc1pf19vvx1XFURcAAAA AEgY8+FAnY42Nx351tg2uptd84U5xzFpzbHWd890s5r129DdjjnHsbT8K508z2h7O65QTsQFAAAA gIRZXVWno5UVbW3ZZ3vmWDOdOpKn32qee3Ns0rf97mbX3drF5C8Ptbq6K6nVmvydsbgWFwAAAACS 5PhY9bpyUs3KlwAAAQBJREFUOT154lgSPBKrwBwbYIhNgqysaGkpI+nRo3E2Gw4RFwAAAAASo9Pp Pf/2wQNlMn1XD5lph4u+jg2NbcM9aV/zYnJzU5L299VqDbHTURBxAQAAACAx9vd7Q7ghbjHlCK5+ OXYs+VaSebqy/aJca9J8fbG0WDyW1OlMfiCXiAsAAAAAifHHP0qhhnD7BlczbQ6Rb4fe0G7b/N/h 4dAtDIfbTQEAAABAYjQakrS87LnQET7tA6ph7iYVvELwTZUdjdjHbz13UZeUy6nVmvBNp4znR0+/ Pfv+k73PJBmG0e2O9TpjAAAAAEBIrZauXlU2q59/jruUURmG0Z2fV7WqkxOVyzcj+loAAAEASURB VBPbLycqAwAAAEAy1OuSVCjEXceYmB0xx6UnhROVAQAA0s3zgZYA0mjtf+mJdNiprU7Hz/U770jS 69eT3CcRFwAAIN3G/EBLADE6PtZ/v72SK69sngSsZRjqdmWcp2DzYlPHpGN9z/nuNt1b9W3f2tCx F2PL0E8/SdK1a0E7HjciLgAAAAAkg3lmr3m6sg931DRDpmPSvn7fGy4ZXmPGYdq3NvTei3mK8mTP u+ZaXAAAAABIhkJBmYxaLbXbnsvD5NUhDNdm/2KIuAAAAAAw0/wHcj0jpWNM1W8dz3HaMPza9zyx 2b6XnKRGQ5kMERcAAAAAZtX8vCQ9euS50IqR1n+Hh6W7AAABAElEQVTtOdM8ndidZv3m9xXcvqMY x9IH5v8m+LggExEXAAAAABLjwQNlMqpUdHzsWGJmSDNzmmGy7x2khuOZn4OLcWq11swXm5tDFjEs Ii4AAAAAJEYup7U1Sdre7ruuOY5qJVLPE5XNMBycV+2DsYO2772XR48ykpaWVCz27cV4EXEBAAAA IEl2dpTLqV7X4aHncmvs1DGUar/vsWyDq475ng3a1wnZvu9eGg3t70veQ7iGK0kb5zwn3Rt6LrUQ cQEAAAAgSTKZXjhcX1elEnc1A2o2tbioTudIcg/hekbT7jlzqWPSsaFhGO6ldjwXFwCA/oa+nAkA gKGsbam12dluL95ZB3s/QAAAAQBJREFU0Gldkz7ddzhZtU91u6hmReVVVZZdKwRE0wBmrA25IREX AID+ongIIQAAgba0+kP28PBlblGnpxN+9M4w2m3dvq1qXcVi+fRZ58qVgbY2c6z1WpI5aZ8fBicq AwAAAEAiHRxoaUmtlubmdHQUdzWBajXNzalaVT6v01Nls+p30aydI8c6TkW22gnTGhEXAAAAAJLq 2TOtrand1p07Wl9XpxN3QV729rSwoEZDpZLOzsx8q/OkGrCdFVwDVrMuzdX5uG4wIi4AAAAAJFUm oydP9OyZslnt72tuTvV63DXZmDeXundPnY42NnR2plwuYHW/wVj7XZSt156B1hzdDUjFRKILD6MA AAEASURBVFwAAAAASLblZZ2dqVhUva6bN3X7dvxBt9nU6qquX1elolxOp6fa2em7kX1IVuejsl0b 9zr2be2N+O2CiAsAAAAAiVco6OxMd+8qk9HxcZxB1wq35mN7V1b08qXm52OoxAsRFwAAAADSIJPR 7q7evLkUdBcWtL+vVivyvbfbOjzU7duXwu2bNzo4CD45ecKIuAAAAACQHrncpaBbrWp9XVevRpV1 rWR75YpWV3V8LNnCbT4/5t2NzHh+9PTbs+8/2ftMgz9xCAAAAAAQm3Zbx8f66qte8jQViyoU9Dd/ o1JJxaJ1f+OwOh3VaqrX9fq1Gg1VqxeL5uf1619raSnMsG0dTYm2AAABAElEQVRc6ZKICwAAAAAp 55l1TbmcCgVJKpX0F3/Rm1kq9UaALd98I0nNpppNZwuDJFtLXOnyrcnvEgAAAAAwTtmsVla0siJJ tZoaDb1+3XvRavXOXrYH2gCZTG/49513VCgk5z5SIRFxAQAAAGCKlEoqlS4m2+3ejZdbLTUavZnf fadOR7du9Sbz+d5VtdaL1CLiAgAAAMD0ymZTNxI7Cu6oDAAAAACYEkRcAAAAAMCUIOICAAAAAKYE ERcAAAAAMCWIuAAAAACAKUHEBQAAAABMCSIuAAAAAGBKEHEBAAAAIDWMbSNgjntpmEV+zZr/PCet OQPtZQLeinf3AAAAAICQJpZvsJMkhwAAAQBJREFUJXU3u9bS7mbXMWn+15oMs5fJYBQXAAAAANLB CpMme7x0L/VbrW+zw+m7l8lgFBcAAAAA0idkpBwxeTo2tybNgVydx+OE5FsxigsAAAAAKWVdDdv3 POQwq3lu6JlvZTt72XGx7hB7GS9GcQEAAAAgfRxp072C5zW0YVp2XG0bZvMh9hIRRnEBAAAAIB2C h0mHHkT12zDgpspmBo490LoZz4+efnv2/Sd7n0kyDKPbTVZ9AAAAAIDUcaRLwzAkTSBvMooLAAAA AIiQGXe73a4ZdCPFtbgAAADploQHUQJAQhBxAQAA0i1pF8IBgCRjy+eCYdflsdbQrjnfb9Kc45h0 t78JyDYAAAEASURBVE/EBQAAAADExkqq1vnMfpOO9T1xLS4AAAAAINHC3xqZiAsAAAAAiJB5gnFw THXfgdlvZbMpv3Y4URkAAAAAMH72BwUFj8EG51v7pOM0ZndTjOICAAAAAMbPfiWtJzMDhx+/DYNR XAAAAADA+PndPHmgmyq7A7B9TTdnxJ3Ao3gBAAAAAFPPnUIdczzPYR5o0u1SxHVH5NSh/nhRf7yo P17UHy/qjxf1x4v640X9QKJwLS4AAAAAYEoQcQEAAAAAU8IZcdN+lgL1x4v640X98aL+eFF/vKg/ XtQfL+oHEoVRXAAAAADAlPC+o7Ln33ICFnly383Z3YL96vZB2w/YaXo+A5IVAAABAElEQVTrl+uK f78bACS2O1YjwbfzTlH9nu0kv/7gRhJYf5hdpKj+1B3/fvV7tkP9HP99d+HZVERfmTH+LvZ8LkUq 6vfckPonefz0/fyW8O70/fyW8PoBu0sRd7y3U7MfoF3bvZo9I4R76RDG0kiM9TvadE+OYjLd8fxY maJvh+MLnrofhyiOyYnV33cX6ao/dce/u+B0Hf8BX/801p/243/EgidcvH3z8RRtM7E3/4hiwITr T+/xE93nN7vouhPd57fJ1A84hD1R2frQYB18xjlrUgP+SE/yeE1L/Y42/XaR2O6EbIT6h971WBpJ bP0hUb8b9Xvy/GCUovo9pa5+q1THt8Ndr36gtwAAAQBJREFUs/t1yPbHUabvx+i01B/QPvUHtz+O MsN+fktsd0JumNj6AQdnxLUfo325f8v6fZgYscrw9Zj1h/9BTVT9I0pgd9L+7eDHwbHOBOofehfJ rD/VX/80Hv9Tc/xYP78hN0xa/WHYa/b73Dxcy0MYov1E1a8Bf2CVsPoHPeCVsPpHl7TuDPT5Qcmr H3Bei9v1OiXAOlKtSc9DMwmBJNX1h5Si7qT622H/oJ/G+tP44xBmFymq3y9mKA31p/H4n6avv2zv n451lJL6HfW4l4bPM5N58wz4qqaifs83fGtRiur3XJT8+sNLRXfSfjgBzojrx/0Rp69EHcRpr98h 7d2h/ngls3X+Db8AAAEASURBVP7wu0hF/cEf9+2rDdF4FKbs6x+A+qMw6C7sf4Mbb8vD8fubjp+k 1T8o6k+UtHcn7fVjKl2KuPZzDMJs3Hdl61jvdrvuxq2/RnsuHULa63e06Z5Mfnfsjdh3F35b6h9X /Wn8cQjeRbrqd0+mq/70Hv9W/QNtnrT6w5SU8PodHDPtx5h9jue2k/9dnLr6+26Y8PrV7xhOS/0h P78lsDsDff5JYP2Ag/eJysEzrUn7fPeGfecETw5nyupPXXeCawjeEfUHrx9Gqo+fMDsN2FHS6k/d 8UP9Adty/PcV8gsun5oHajnS38V9W0ts/WEOGFH/pOpPXXeG+PyjJNUPOIS9ozLAENAjAAABAElE QVQAAEBEBh14Txrqj1fa63dIe3fSXj+mwPARN+3Hbtrrd0h7d6g/XtQfL+qPF/UnQdp7Qf3xSnv9 DmnvTtrrxxRgFBcAAAAAMCWIuAAAAACAKfGWpK2t//x/2/877koAAAAAABgJl4MDAAAAAKaE8xnN JF7Ho70AAAAAAGnx1vOjp9+eff+7396X9FdvF+KuJxG+/PLLv73113FXAQAAAAAYDLebAgAAAABM CSIu9F/+6+O4S4jcLPTRjv5Ot1no7yz00Y7+Tp9Z6KPdrPUXQJJNc8TlqloAAAAAmClvhV/VkRi7 3a5hXLohszlpX81a6rmmo02/bf1qCLgzlmN30bH/BE0OqwAAAQBJREFUzfJ3v73vmHSvYM4xX1gt eK7p3tC9a892PCdHNGLN1ny/L5G1srvsCXfTPmlW695dwLdmiOPBsXlavqfuNe0zHZOemweX4Tk5 irH3t++x4dlCWg7mtPzMyuuQC9nN1L0Ve/bU8xvtLjh1nbW3GVxhwBtRwCYJOYCj+KWT5PclAJiY ASKuQt9v2S/ZOngu7bttmMYnlm/db/3uX5wBv0oHbSp8YeFXHlr4mh0fRIbul7uAobf1E7Iezy6M 8XhwS9r3NHzxST6MI+3voJUMsdVYKkn7z2xIIbuQurdivz9MWHNS3dmh31RTdACP/ZfOKHtxiPEH FgBGlNwTlR2DusErGHc6k+8AAAEASURBVOesSWs1v9cjmuSfNt1/hQ2QkL+5hq/ZWnPQyJeEbloi rSchne37nTLn+33rU3cYD3dkDiEJnR1Icn5mgw85TwOtPMq2UfQ3oAC/NJjezkb3c5GcA3gUvC8B mEr/7fibsaw82CiuFRHHMkxqz6gjNhhy3HgC3H82DsP+YWKUkb24gnfUv2jdcyLa49h7NGiDM/I9 tYuxyyP21zMABJ/qmeqDeYhd2+ek4uNyGt+Kh95dejtrvoj0r4ruOWn5OU34+xIABBgo31qb/P3S Lff8SE5UDh9cxxVNA4ZnrWuGI0q/jt9P7jOIQv4CG/HUI2sv9hdR/4oa8Zxb+1mRAS1MspviRFCJ AAABAElEQVSDBtGAzwrDHQ8p/Z6OZY+Ko8uj9Df4HNHwmyT2YA5YJzk/s2OX8Lfi4K/8EK2ZL5LZ WUfjQ/+STfIBPMafU/cKCXxfAgA/Q+Rba0N3yh0s4obkvpVUpOzZdfJ3UXb8ivVbYZLFKNm/k0Yv LPZuBnzTx348xN7ZkKwT/6zJoatNS5fHIvbO9j1ildSf2TEecmM3yW9r7B2PurOjv6km8wAeooCh TzsfbndKwNEFAMOJ8FrcvhfTBusbXMOPykYxhPu7Ea5xGpT9d8zEdjqiEX8vpqKbjtP8hq45FZ2V 7Xvq19nf/fa+9S9gc6Wky337G76d8RUVldHf0GLpZvAh52mUzAjLoAAAAQBJREFUt6aEHMP2b1Zw d1Ld2Un+klUKf05n4X0JwEzxPN946A2HvBZXUrfb7fuYHytbeq7p93ghv9b8VhgxSw/N8xdM3/OC HFu5/zTr/lQR+99QR6k5Ob0Iw9Epz47b2c92G+54iMuIx2Hfr4wlIV+BifU3OYY+mBPyLRuOXzf9 TlV1rJnwt2JPAb1Ie2eHe1NNVBf6GuMvnVT0FwAC/P3SrUFPV/YLxsbzo6ffnn1vvjP+1duFeO/V 5Gf0K3XDb24Yxpdffvm3t/566N1FKqIrnZL2q3HsJSWwj5YZ+Z7a8f1NYJsjmqnvqWasv7NwDM9C H+1mrb8AZk1yHxpkif0myckxI1ANFggAAAB7SURBVL8/ZqSbppnqrGmmujwjnZ2Rblpmqr+z0NlZ 6KPdrPUXwAxKQcQdPd9OTUKekd9JM9JN00x11jRTXZ6Rzs5INy0z1d9Z6Ows9NFu1voLYAal40Tl SUr4icoAAAAAAD8pGMUFAAAAACAM5x2VY7k1MQAAAAAAo/v/cRsX8cXPdkgAAAAASUVORK5CYII= ------=_NextPart_000_0001_01CAF239.53DED2D0--