X-Account-Key: account3
X-UIDL: 1189628225.001
X-Mozilla-Status: 0001
X-Mozilla-Status2: 10000000
X-Mozilla-Keys:                                                                                 
Received: from n18.bullet.sp1.yahoo.com by genie.lightpatch.com id aa02944;
          12 Sep 2007 13:10 PDT
Comment: DomainKeys? See http://antispam.yahoo.com/domainkeys
DomainKey-Signature: a=rsa-sha1; q=dns; c=nofws; s=lima; d=yahoogroups.com;
	b=ZDgZWfO5UR4WQTO8J9AlbKtsLBDV2ME9IqIWbCnA5xJZnG1H2ZCgL+hK0Y5s+G02ForO5UH5Fx2v5kCuMq5I1W29QOeOV7GAa8ELNezX/ecg37oKGjsSWAVNZBhicXCf;
Received: from [216.252.122.219] by n18.bullet.sp1.yahoo.com with NNFMP; 12 Sep 2007 20:07:02 -0000
Received: from [209.73.164.86] by t4.bullet.sp1.yahoo.com with NNFMP; 12 Sep 2007 20:06:57 -0000
Received: from [66.218.66.96] by t8.bullet.scd.yahoo.com with NNFMP; 12 Sep 2007 20:06:57 -0000
X-Yahoo-Newman-Id: 12111071-m72841
X-Sender: gmorlan@tampabay.rr.com
X-Apparently-To: MetaTrader_Experts_and_Indicators@yahoogroups.com
Received: (qmail 68245 invoked from network); 12 Sep 2007 19:50:47 -0000
Received: from unknown (66.218.66.68)
  by m56.grp.scd.yahoo.com with QMQP; 12 Sep 2007 19:50:47 -0000
Received: from unknown (HELO hrndva-omtalb.mail.rr.com) (71.74.56.122)
  by mta11.grp.scd.yahoo.com with SMTP; 12 Sep 2007 19:50:46 -0000
Received: from lorenzy5yllpkh ([72.184.17.31]) by hrndva-omta06.mail.rr.com
          with SMTP
          id <20070912194952.LKPF4068.hrndva-omta06.mail.rr.com@lorenzy5yllpkh>;
          Wed, 12 Sep 2007 19:49:52 +0000
Message-ID: <000601c7f576$141b7bc0$6401a8c0@lorenzy5yllpkh>
To: blutofx <blutofx@gmail.com>
X-Priority: 3
X-MSMail-Priority: Normal
X-Mailer: Microsoft Outlook Express 6.00.2900.3138
X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.3138
X-Originating-IP: 71.74.56.122
X-eGroups-Msg-Info: 1:12:0:0:0
From: Loren Morlan <gmorlan@tampabay.rr.com>
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: <MetaTrader_Experts_and_Indicators.yahoogroups.com>
Precedence: bulk
List-Unsubscribe: <mailto:MetaTrader_Experts_and_Indicators-unsubscribe@yahoogroups.com>
Date: Wed, 12 Sep 2007 15:49:44 -0400
Subject: [MT_E and I] EUR/CAD, 9/12/07, DAILY  Why trade this pair?
X-Yahoo-Newman-Property: groups-email-ff-m
Reply-To: MetaTrader_Experts_and_Indicators@yahoogroups.com
Content-Type: multipart/mixed;
 boundary="----=_NextPart_000_0003_01C7F554.8A3510E0"
X-Antivirus: AVG for E-mail 7.5.485 [269.13.15/1003]

------=_NextPart_000_0003_01C7F554.8A3510E0
Content-Type: multipart/alternative;
 boundary="GSWzLPdX2UjgFkzS6g5q3OOFLeivLql1ED5NjXD"

--GSWzLPdX2UjgFkzS6g5q3OOFLeivLql1ED5NjXD
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 7bit

The attached daily, rather than 4 hour chart uses the same methods and 
format of earlier analysis.  RSI 14 and AC are omitted from this study.

Two Fibonacci retracement studies are placed on this chart.

The first study measures the strength of an up cycle which most recently 
commenced on 9/7/06, low 1.4055 point A.  The up cycle moved to a high 
1.5682 on 3/19/07, point B.  From this level price retraced to low 1.4136 on 
6/11/07, point C.  Multiple full HA candle bodies closed below Fibonacci 
85.4 suggesting the previous up cycle from A to B was very weak and would 
likely fail.

The second study measures the strength of a down cycle which commenced at 
point a/B high on 3/19/07 to its low point b/C on 6/11/07.  Price thereafter 
retraced against the down cycle to its presumptive high 1.4642 on 7/30/07, 
point c.  This retracement was between 23.6 and 38.2 suggesting the down 
cycle was strong and that price will easily exceed point b.  Fibonacci 
retracement projects a to b subtracted from c, 1.3096.  The second study 
showing a current strong down cycle confirms the previous Fibonacci study 
which suggested the up cycle would likely fail.

Two DSC line studies are placed on the chart.

Longer term blue line study commenced on 3/1/06 and completes with the 
latest HA candle.  The lower blue line has acted as support and currently is 
acting as resistance at the far right edge of the chart.  Previously HA 
candles found support above the upper blue line during which period price 
was over bought.  Thereafter price corrected from that level to a low at 
point C/b below the lower SDC line.  The lower blue line is currently acting 
as resistance which is expected because of the two negative (lower price) 
Fibonacci studies.  Price closing below the lower blue line is further 
confirmation of a continuing down cycle identified in the Fibonacci studies.

The second and active current SDC red line study commenced at the 3/19/07 
high and follows the down cycle.  Presently price is near and testing the 
upper red line and the lower blue line resistance levels.  Red lines have 
contained price movement from its high and confirms the aforementioned 
studies.

A/D indicator study.

Vertical red lines 1 and 2 identify a RND between those price levels which 
suggests a down trend existing and lower price.

A longer term class B RND is identified on the A/D chart between the left 
and right shoulder price highs which are identical, while A/D traces a 
higher value at the right shoulder high.  This RD likewise suggests a down 
trend and lower prices.  These two RNDs also confirm the Fibonacci and SDC 
studies regarding a strong down cycle.

Head and shoulder price pattern:

An upright H & S price pattern is identified and suggests lower prices below 
the neck line (point A and C).  This is the most reliable price pattern with 
respect to its predictive message.  Further confirmation of a down cycle.

AO:

Currently bars are above zero and green.  Ultimately AO and AC will trace 
red below zero consistent with the pending down cycle.

Comments:

Since this pair has been in a previous strong up cycle with price well above 
the upper blue line, bulls will be slow to recognize that a trend change has 
occurred.  The result will likely be a period of consolidation as buying 
pressure on price is reduced.  Bears will be selling rallies.

This is the first pair recently analyzed which suggests a "strong" down 
cycle.  There is a greater likelihood of fulfillment of Fibonacci studies in 
this instance.

Fibonacci retracement, SDC line studies and price patterns (H & S) are 
entirely dependent on price action and are price factual events.  A/D 
indicator RNDs agree with the objective price studies and suggests 
opportunities to enter an existing trend.

Loren


--GSWzLPdX2UjgFkzS6g5q3OOFLeivLql1ED5NjXD
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: 7bit


<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd">
<html>
<head>
</head>




<body style="background-color: #ffffff;">

<!--~-|**|PrettyHtmlStartT|**|-~-->
<div id="ygrp-mlmsg" style="width:655px; position:relative;">
  <div id="ygrp-msg" style="width: 490px; padding: 0 15px 0 0; float:left;  z-index:1;">
<!--~-|**|PrettyHtmlEndT|**|-~-->

    <div id="ygrp-text">
            <p>The attached daily, rather than 4 hour chart uses the same methods and <br>
format of earlier analysis.  RSI 14 and AC are omitted from this study.<br>
<br>
Two Fibonacci retracement studies are placed on this chart.<br>
<br>
The first study measures the strength of an up cycle which most recently <br>
commenced on 9/7/06, low 1.4055 point A.  The up cycle moved to a high <br>
1.5682 on 3/19/07, point B.  From this level price retraced to low 1.4136 on <br>
6/11/07, point C.  Multiple full HA candle bodies closed below Fibonacci <br>
85.4 suggesting the previous up cycle from A to B was very weak and would <br>
likely fail.<br>
<br>
The second study measures the strength of a down cycle which commenced at <br>
point a/B high on 3/19/07 to its low point b/C on 6/11/07.  Price thereafter <br>
retraced against the down cycle to its presumptive high 1.4642 on 7/30/07, <br>
point c.  This retracement was between 23.6 and 38.2 suggesting the down <br>
cycle was strong and that price will easily exceed point b.  Fibonacci <br>
retracement projects a to b subtracted from c, 1.3096.  The second study <br>
showing a current strong down cycle confirms the previous Fibonacci study <br>
which suggested the up cycle would likely fail.<br>
<br>
Two DSC line studies are placed on the chart.<br>
<br>
Longer term blue line study commenced on 3/1/06 and completes with the <br>
latest HA candle.  The lower blue line has acted as support and currently is <br>
acting as resistance at the far right edge of the chart.  Previously HA <br>
candles found support above the upper blue line during which period price <br>
was over bought.  Thereafter price corrected from that level to a low at <br>
point C/b below the lower SDC line.  The lower blue line is currently acting <br>
as resistance which is expected because of the two negative (lower price) <br>
Fibonacci studies.  Price closing below the lower blue line is further <br>
confirmation of a continuing down cycle identified in the Fibonacci studies.<br>
<br>
The second and active current SDC red line study commenced at the 3/19/07 <br>
high and follows the down cycle.  Presently price is near and testing the <br>
upper red line and the lower blue line resistance levels.  Red lines have <br>
contained price movement from its high and confirms the aforementioned <br>
studies.<br>
<br>
A/D indicator study.<br>
<br>
Vertical red lines 1 and 2 identify a RND between those price levels which <br>
suggests a down trend existing and lower price.<br>
<br>
A longer term class B RND is identified on the A/D chart between the left <br>
and right shoulder price highs which are identical, while A/D traces a <br>
higher value at the right shoulder high.  This RD likewise suggests a down <br>
trend and lower prices.  These two RNDs also confirm the Fibonacci and SDC <br>
studies regarding a strong down cycle.<br>
<br>
Head and shoulder price pattern:<br>
<br>
An upright H &amp; S price pattern is identified and suggests lower prices below <br>
the neck line (point A and C).  This is the most reliable price pattern with <br>
respect to its predictive message.  Further confirmation of a down cycle.<br>
<br>
AO:<br>
<br>
Currently bars are above zero and green.  Ultimately AO and AC will trace <br>
red below zero consistent with the pending down cycle.<br>
<br>
Comments:<br>
<br>
Since this pair has been in a previous strong up cycle with price well above <br>
the upper blue line, bulls will be slow to recognize that a trend change has <br>
occurred.  The result will likely be a period of consolidation as buying <br>
pressure on price is reduced.  Bears will be selling rallies.<br>
<br>
This is the first pair recently analyzed which suggests a &quot;strong&quot; down <br>
cycle.  There is a greater likelihood of fulfillment of Fibonacci studies in <br>
this instance.<br>
<br>
Fibonacci retracement, SDC line studies and price patterns (H &amp; S) are <br>
entirely dependent on price action and are price factual events.  A/D <br>
indicator RNDs agree with the objective price studies and suggests <br>
opportunities to enter an existing trend.<br>
<br>
Loren<br>
<br>
</p>
    </div>  

    <!--~-|**|PrettyHtmlStart|**|-~-->
    <span width="1" style="color: white;">__._,_.___</span>
    <!-- Start the section with Message In topic -->
    <div id="ygrp-actbar">
              <span class="left">
          <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/message/72841;_ylc=X3oDMTM3MGhycG03BF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARtc2dJZAM3Mjg0MQRzZWMDZnRyBHNsawN2dHBjBHN0aW1lAzExODk2Mjc2MDIEdHBjSWQDNzI4NDE-">
            Messages in this topic          </a> (<span class="bld">1</span>)
        </span>
        <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/post;_ylc=X3oDMTJydWF1aGRxBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARtc2dJZAM3Mjg0MQRzZWMDZnRyBHNsawNycGx5BHN0aW1lAzExODk2Mjc2MDI-?act=reply&messageNum=72841">
          <span class="bld">
            Reply          </span> (via web post)
        </a>  | 
        <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/post;_ylc=X3oDMTJmYzZpYnBxBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNudHBjBHN0aW1lAzExODk2Mjc2MDI-" class="bld">
          Start a new topic        </a>
          </div> 
    <!-------     Start Nav Bar  ------>
    <!-- |**|begin egp html banner|**| -->
    <div id="ygrp-vitnav">
                <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/messages;_ylc=X3oDMTJmNXQxdDNhBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNtc2dzBHN0aW1lAzExODk2Mjc1ODY-">Messages</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/files;_ylc=X3oDMTJnbGZwazVmBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNmaWxlcwRzdGltZQMxMTg5NjI3NTg2">Files</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/photos;_ylc=X3oDMTJmanBrYTJjBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNwaG90BHN0aW1lAzExODk2Mjc1ODY-">Photos</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/links;_ylc=X3oDMTJnNmEwbWszBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNsaW5rcwRzdGltZQMxMTg5NjI3NTg2">Links</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/database;_ylc=X3oDMTJkbGpzNGZjBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNkYgRzdGltZQMxMTg5NjI3NTg2">Database</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/polls;_ylc=X3oDMTJnNWMxcThpBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNwb2xscwRzdGltZQMxMTg5NjI3NTg2">Polls</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/members;_ylc=X3oDMTJmNTUwYWYxBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNtYnJzBHN0aW1lAzExODk2Mjc1ODY-">Members</a>  
            |    <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/calendar;_ylc=X3oDMTJlamtybzVnBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNjYWwEc3RpbWUDMTE4OTYyNzU4Ng--">Calendar</a>  
    </div>  
    <!-- |**|end egp html banner|**| -->

                <div id="ygrp-grft">
                  
<!-- |**|begin egp html banner|**| -->

          For archives of Experts and Indicators from the MetaTrader Experts and Indicators Group<BR>
See <a href="http://www.forexmt4.com/">http://www.forexmt4.com/</a> or <a href="http://www.lightpatch.com/forex">http://www.lightpatch.com/forex</a><BR>
          
<!-- |**|end egp html banner|**| -->

              </div>
    
    <!-- yahoo logo -->
    <!-- |**|begin egp html banner|**| -->
    <div id="ygrp-ft">
      <a href="http://groups.yahoo.com/;_ylc=X3oDMTJlNGlvcTh2BF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNnZnAEc3RpbWUDMTE4OTYyNzYwMg--">
      <img src="http://us.i1.yimg.com/us.yimg.com/i/yg/img/logo/ma_grp_160.gif" height="15" width="106" border="0" alt="Yahoo! Groups"></a> <br>
      <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/join;_ylc=X3oDMTJnaWllMmV1BF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNzdG5ncwRzdGltZQMxMTg5NjI3NjAy">Change settings via the Web</a> (Yahoo! ID required) <br>
      Change settings via email: <a href="mailto:MetaTrader_Experts_and_Indicators-digest@yahoogroups.com?subject=Email Delivery: Digest">Switch delivery to Daily Digest</a> | <a href = "mailto:MetaTrader_Experts_and_Indicators-traditional@yahoogroups.com?subject=Change Delivery Format: Traditional">Switch format to Traditional</a> <br>

      <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators;_ylc=X3oDMTJlb2htcGx2BF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDZnRyBHNsawNocGYEc3RpbWUDMTE4OTYyNzYwMg--">
        Visit Your Group 
      </a> |
      <a href="http://docs.yahoo.com/info/terms/">
        Yahoo! Groups Terms of Use      </a> |
      <a href="mailto:MetaTrader_Experts_and_Indicators-unsubscribe@yahoogroups.com?subject=">
        Unsubscribe      </a> 
    </div>     <!-- |**|end egp html banner|**| -->
  </div> <!-- ygrp-msg -->

  
  <!-- Sponsor -->
  <!-- |**|begin egp html banner|**| -->
  <div id="ygrp-sponsor" style="width:140px;float: left; clear: none; margin-left: 5px; background:white; margin-bottom:25px ;position:absolute; top:0; right: 0;">
    <!-- Network content -->
    
    <!-- Start vitality -->
    <div id="ygrp-vital">
              <div id="vithd">Recent Activity</div>
        <ul style="list-style-type:none; padding: 0; margin: 2px 0;">
                <li style="clear: both;">
      <div class="ct" style="float: right;"><span style="display:none">&nbsp;</span>42</div>
      <div class="cat"><a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/members;_ylc=X3oDMTJnbHJnZm5kBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2bWJycwRzdGltZQMxMTg5NjI3NTg2">New Members</a></div>
    </li>
  
            
            
            
                <li style="clear: both;">
      <div class="ct" style="float: right;"><span style="display:none">&nbsp;</span>2</div>
      <div class="cat"><a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators/files;_ylc=X3oDMTJoNTUzNXZzBF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2ZmlsZXMEc3RpbWUDMTE4OTYyNzU4Ng--">New Files</a></div>
    </li>
  
            
        </ul>
            <a href="http://groups.yahoo.com/group/MetaTrader_Experts_and_Indicators;_ylc=X3oDMTJmZzNtcnI4BF9TAzk3MzU5NzE0BGdycElkAzEyMTExMDcxBGdycHNwSWQDMTcwNTAwMTc4MARzZWMDdnRsBHNsawN2Z2hwBHN0aW1lAzExODk2Mjc1ODY-">
        Visit Your Group      </a>
    </div> 
              
    <!-- Network content -->
              <div id="nc">
              <div class="ad">
                      <div id="hd1">Yahoo! Finance</div> 
<p><a href="http://us.ard.yahoo.com/SIG=12jqg02ts/M=493064.10729649.11333340.8674578/D=groups/S=1705001780:NC/Y=YAHOO/EXP=1189634816/A=4507179/R=0/SIG=12de4rskk/*http://us.rd.yahoo.com/evt=50284/*http://finance.yahoo.com/personal-finance">It's Now Personal</a></p> 
<p>Guides, news,</p> 
<p>advice & more.</p>                   </div>
                    <div class="ad">
                      <div id="hd1">New business?</div> 
<p><a href="http://us.ard.yahoo.com/SIG=12jbm1int/M=493064.10729656.11333347.8674578/D=groups/S=1705001780:NC/Y=YAHOO/EXP=1189634816/A=3848640/R=0/SIG=131an6mds/*http://searchmarketing.yahoo.com/arp/srchv2.php?o=US2002&cmp=Yahoo&ctv=Groups1&s=Y&s2=&s3=&b=50">Get new customers.</a></p> 
<p>List your web site</p> 
<p>in Yahoo! Search.</p>                  </div>
                    <div class="ad">
                      <div id="hd1">Sitebuilder</div>
<p><a href="http://us.ard.yahoo.com/SIG=12jj0kgja/M=493064.10729657.11333348.8674578/D=groups/S=1705001780:NC/Y=YAHOO/EXP=1189634816/A=4025304/R=0/SIG=12uhb64pb/*http://us.rd.yahoo.com/evt=44092/*http://smallbusiness.yahoo.com/webhosting/sitebuilding.php">Build a web site</a></p>
<p>quickly &amp; easily</p>
<p>with Sitebuilder.</p>                  </div>
          </div>
    
  </div>   <!-- |**|end egp html banner|**| -->
  <div style="clear:both; color: #FFF; font-size:1px;">.</div>
</div>   <img src="http://geo.yahoo.com/serv?s=97359714/grpId=12111071/grpspId=1705001780/msgId=72841/stime=1189627602/nc1=4507179/nc2=3848640/nc3=4025304" width="1" height="1"> <br>

<span  style="color: white;">__,_._,___</span>
<!--~-|**|PrettyHtmlEnd|**|-~-->
</body>
<!--~-|**|PrettyHtmlStart|**|-~-->
<head>
<style type="text/css">
<!--
#ygrp-mkp{
  border: 1px solid #d8d8d8;
  font-family: Arial;
  margin: 14px 0px;
  padding: 0px 14px;
}
#ygrp-mkp hr{
  border: 1px solid #d8d8d8;
}
#ygrp-mkp #hd{
  color: #628c2a;
  font-size: 85%;
  font-weight: bold;
  line-height: 122%;
  margin: 10px 0px;
}
#ygrp-mkp #ads{
  margin-bottom: 10px;
}
#ygrp-mkp .ad{
  padding: 0 0;
}
#ygrp-mkp .ad a{
  color: #0000ff;
  text-decoration: none;
}
-->
</style>
</head>
<head>
<style type="text/css">
<!--
#ygrp-sponsor #ygrp-lc{
  font-family: Arial;
}
#ygrp-sponsor #ygrp-lc #hd{
  margin: 10px 0px;
  font-weight: bold;
  font-size: 78%;
  line-height: 122%;
}
#ygrp-sponsor #ygrp-lc .ad{
  margin-bottom: 10px;
  padding: 0 0;
}
-->
</style>
</head>
<head>
<style type="text/css">
<!--
#ygrp-mlmsg {font-size:13px; font-family: arial,helvetica,clean,sans-serif;*font-size:small;*font:x-small;}
#ygrp-mlmsg table {font-size:inherit;font:100%;}
#ygrp-mlmsg select, input, textarea {font:99% arial,helvetica,clean,sans-serif;}
#ygrp-mlmsg pre, code {font:115% monospace;*font-size:100%;}
#ygrp-mlmsg * {line-height:1.22em;}
#ygrp-text{
    font-family: Georgia;	
}
#ygrp-text p{
    margin: 0 0 1em 0;
}
#ygrp-tpmsgs{
    font-family: Arial;	
    clear: both;
}
#ygrp-vitnav{
	padding-top: 10px;
	font-family: Verdana;
	font-size: 77%;
	margin: 0;
}
#ygrp-vitnav a{
	padding: 0 1px;
}
#ygrp-actbar{
	clear: both;
	margin: 25px 0;
	white-space:nowrap;
	color: #666;
	text-align: right;
}
#ygrp-actbar .left{
	float: left;
	white-space:nowrap;
}
bld{font-weight:bold;}
#ygrp-grft{
	font-family: Verdana;
	font-size: 77%;
	padding: 15px 0;
}
#ygrp-ft{
  font-family: verdana;
  font-size: 77%;
  border-top: 1px solid #666; 
  padding: 5px 0; 
}
#ygrp-mlmsg #logo{
  padding-bottom: 10px;
}

#ygrp-vital{
	background-color: #e0ecee;
	margin-bottom: 20px;
	padding: 2px 0 8px 8px;
}
#ygrp-vital #vithd{
	font-size: 77%;
	font-family: Verdana;
	font-weight: bold;
	color: #333;
	text-transform: uppercase;
}
#ygrp-vital ul{
	padding: 0;
	margin: 2px 0;
}
#ygrp-vital ul li{
  list-style-type: none;
  clear: both;
  border: 1px solid #e0ecee;  
}
#ygrp-vital ul li .ct{
  font-weight: bold;
  color: #ff7900;
  float: right;
  width: 2em;
  text-align:right;
  padding-right: .5em;
}
#ygrp-vital ul li .cat{
  font-weight: bold;
}
#ygrp-vital a{
	text-decoration: none;
}

#ygrp-vital a:hover{
  text-decoration: underline;
}

#ygrp-sponsor #hd{
	color: #999;
	font-size: 77%;
}
#ygrp-sponsor #ov{
	padding: 6px 13px;
	background-color: #e0ecee;
	margin-bottom: 20px;
}
#ygrp-sponsor #ov ul{
	padding: 0 0 0 8px;
	margin: 0;
}
#ygrp-sponsor #ov li{
	list-style-type: square;
	padding: 6px 0;
	font-size: 77%;
}
#ygrp-sponsor #ov li a{
	text-decoration: none;
	font-size: 130%;
}
#ygrp-sponsor #nc{
  background-color: #eee;
  margin-bottom: 20px;
  padding: 0 8px;
}
#ygrp-sponsor .ad{
	padding: 8px 0;
}
#ygrp-sponsor .ad #hd1{
	font-family: Arial;
	font-weight: bold;
	color: #628c2a;
	font-size: 100%;
	line-height: 122%;
}
#ygrp-sponsor .ad a{
	text-decoration: none;
}
#ygrp-sponsor .ad a:hover{
	text-decoration: underline;
}
#ygrp-sponsor .ad p{
	margin: 0;
}
o{font-size: 0; }
MsoNormal{
   margin: 0 0 0 0;
}
#ygrp-text tt{
  font-size: 120%;
}
blockquote{margin: 0 0 0 4px;}
replbq{margin:4}
-->
</style>
</head>
<!--~-|**|PrettyHtmlEnd|**|-~-->
</html><!--End group email -->


--GSWzLPdX2UjgFkzS6g5q3OOFLeivLql1ED5NjXD--

------=_NextPart_000_0003_01C7F554.8A3510E0
Content-Type: image/png;
	name="daily.png"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
	filename="daily.png"

iVBORw0KGgoAAAANSUhEUgAABP4AAAO1CAIAAABxWry2AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA
B3RJTUUH1wkMESEkKVFjiwAAAAd0RVh0QXV0aG9yAKmuzEgAAAAMdEVYdERlc2NyaXB0aW9uABMJ
ISMAAAAKdEVYdENvcHlyaWdodACsD8w6AAAADnRFWHRDcmVhdGlvbiB0aW1lADX3DwkAAAAJdEVY
dFNvZnR3YXJlAF1w/zoAAAALdEVYdERpc2NsYWltZXIAt8C0jwAAAAh0RVh0V2FybmluZwDAG+aH
AAAAB3RFWHRTb3VyY2UA9f+D6wAAAAh0RVh0Q29tbWVudAD2zJa/AAAABnRFWHRUaXRsZQCo7tIn
AAABAElEQVR4nOy9TYgk15nv/YQRdzRwB7zwoseXgSyai9uXTLAXF8touGTSMJNFb6yhF/bKHlct
VOWFLG4WbcPllTS8YItK2/JCXT24yh8re9HYmkVTeQeazIFXSGYWI8jkdTEvTSUWd6yFQW3ZC+3i
XZzIyBPf3xEnIn8/iu7Mkyf+ceLJyIh44nnOE9bDX/yjAAAAAAAAAHSXZ95+51+bHgMAAAAAAABA
Vbz66v/1jIh8/40fVb0my7Js2656LQAAAAAAAAA+Pnr6/idqW5llWbWtCwAAAAAAAMDlGfdV1a6p
bdt4vwAAAAAAALtMU+nAnqivXRmufqVrWS6X1Ymjjz766KOPgzfh6QAAAQBJREFUPvroo2+6vojn
r3XjRx/9tusnuXsNuLwb6kt4VtjEfgEAAAD8LE4sy9q/WBuguDixLOtkEf3ZBld8fbHvb9J7Ki19
0Qj1bLzxxhvvvfdeyAe27fwBAOi8/NKh639XcCNg69zHvAUAAADYbeYTERmfXzeseH0+VleIk3nk
xz7Nbdt2jUpmMt+8Gk8mY1e0rE393e9+9+yzz37zm9/88MMPt636RSYXnAD1kyLqW89AfPzhw9/W
HfVV2MR+AQAAAMxicWLtHc5iOqwfP5yJ9G/2/G3ju7d7IsNT27YvD3oi66uZyPhWT6R3++5YZCZ3
Lm3bPh2KiAzvTERmDx+vCw73xsGrUL0AAAEASURBVI0b3/nOd954443PfvazDx48KKgGAJ2nGddX
8H4BAAAA/Dw8CkkJDqQOK7ZZxnqi8abz/sWTPAOYzLeB3yDrq5mITEf6WNZXAW94491erTfe8uTO
UFN5shJtkdlsNtrw7W9/+9VXX3311VcfPHiw2PDxxx9HDejFF1/83Oc+98EHHxwdHX3xi1989913
RUQsy/kDANBozPWVCrzf1WpVohr66KOPPvroo49+rfozuXttqyTh6cidITuaquzg6/PxdLTxOBcn
e4ezydy27eXyxxOZHR5drGV9sT+aqrTiy5tX06wjHZ46cdmI8S8eTTeZyvOJTEf7F2vlx47l0b7X
Nx+Gu6FTAAABAElEQVSe2vPJdGRZe4dyfu2RXbx56HGGP/GJT7yy4c/+7M9U469//evXNvz5n/+5
Et/b23OdZOUhf/e7333uuefUIu++++4Xv/jFoxdffPrhh9u1WZZB3y/66GfS99ze0m9y+ebjq37B
OfWKv9Yn/C9OQm6URd5X80zKDyifLBLGbx7PJHepEuX92tQhAAAAAFB5w9K72ReZrZ6sZbh+NN02
H9ybHM6mjxanw6EMT237VNYX+5aTojy7Wq9Fi7AO70xkmtn7jUWtU7bqDx+vb4uIzKYyt+3LxYk1
Gu3fur48kIt95ZmfDhcn1p51Nd94v4uT0VRkMt86w5/+9Kf7/b4jOxxKW5TA3wAAAQBJREFUNOv1
er1eq9eLxcJt1Ps8ePDgF7/4xTsit2xbBX77gwElr6AglrXdiVTkLuqtvkhoe2Ym87BbUikXWfy9
NTo8urh9edATUSkX6niy3v5GRb0bWavzazVh4fHDmYzH483RJkxZLSHz5Vc/VWTjaqbJqK+CzGcA
AACAUFRu8OxwT0VZRlMRWT1ZyyYCs/fw7vVy+eOJtsj4Vk+96N2KTFwukd7NvmzcbTfNWc9yHt6Z
iEwfLUTEiUqPz6+zXsk76+r1hhtU1Peb3/ym7vqq2b+/+c1vbqn3Pu8EIBf67qN84M19Ff/bqG7N
MfwfX9Nn1q+vZmquweLNw5l2C6p3cLmZqKXw+mIAAAEASURBVO94vpN79/qbo00YvYN7E5Hp67/8
j0rHXzJNur5utFy9Li7o3jKsCPTRRx999NFHH/069ZVj6a2GfHnQc3KPJ3P78qDX7++JbF3e2dVa
Lasm5hYnYfzpPezFyd7hTCZz5/o6pX4sX/nKV66urkRkPB7//Oc//93vfvetb33rxo0b2x7Ve78m
7z87qB81yzv37O9+v19p0kDV9tnTg7KLR1N1S0odQPQp+FuU53tnOLwziS1Hp251/fE/VTv+cmnA
9dW9XL3edP0jAQAAADAaTzVk/5N6VSx1ffH6VERmV2tVTdmJsC4elZPtrE0j1NavrpzvHfRUCWe1
TjUX+JbT5mvjMx1HAAABAElEQVRUmc7j828MSxmWiLz88svvvvvuiy+++Jvf/Oby8vLLX/5yeD9i
vzuD8THYXDh15bz17NKy0KZMqHTnW71NOkk4Ktv5Vk/d1kosxR4dFzaRuuf6ktsMAAAAkJrhqT0X
a7RnHYqIjJ25eDI8nU+mo+nImorI5PxcDg9XT9a9g8v5lTUaWVORyWQiUvZc3+vz1d6hGoubtuys
1Jrq49MGIuPz68vbj/cPRVTu9qF4NiUfi8XiM5/5zPX19Sc/+cnk3r78VIAWkWOur3NkEBH9l7Z+
/HA2vnvWE1lHL6o83/PbPRG5fXcshw8frw8K/FLNotaor6po5U7upcIz+uijjz76KS6nlgAAAQBJ
REFU6KOPvojoz8T1v1HvtGRnX+ty+dWDg8vNZ27z6empd4G0qFl/7rV27wunS/et+sw/lO1Kw8Zn
Xx709AX9XfPZfzgcvvjii2n8Xke/stivGfsP+qboZ92/Khn/ZO5UiheRG5/oOa3uRF9nJkUYnmd3
q4J78XHfG5/4UzljDguR6vWk9RZfh6jOQepzfS3LWi6Xta0OAAAAAGALmc+QCzdjQDYJBG72gO+t
S1R7mSSlGvcOzs7HIj/9upMl7U70FW/1OR3l+bo51qOpRPu+Kpd6778U2ASNKH9VnxvrhlHdRfSo
qq9zKPW5vvogqgv8AgAAAACEg/e7Y5TyPat5wu6+o9J+VtoAAAEASURBVL8OfRvaXiqqBsDhmwsR
EU9FdQ+9g7Pz5zcd3Ym+SuEb2tPDN1P690/efDjz1NW7Ph9H+L6qxsDk3t99upxNqqfwk/XyS4ff
f+NHsvGba1ils+LN6niuLwAAAACUSXy4zfWHuATtHMGH7qrXpT1lt07Us3e9be7M38WJCsp6W1Wz
Nj3Y6TY5P18dPrzrnWDvl/jGk/29w5lnGr4awvj8+vJgrff2rtRLUrA7yvsLtuvh3OBbtyXqUx8f
PX3f7/q66eZuoe3qWoLeb51rp4UWWmihhRZaaKGlmy2WtdrMswvvs7lKVt2MGDMtxrcMBs7rrCyX
K3O2ovKWwUCiPbt+vx9DaaYzAAABAElEQVTlo8YERNVHPucxKpIapRPi+oaurCII/AIAAABA+aSZ
ZEnsFzJyfHx8//79pkdhPGVEfUO92eKub60Vnl3XX6FGXKLf69MvHfTRRx999NFHH/1O6qupfpa1
eYTvhsWJZf31P6z1t3qHxUno40YXJ5uWre7JwrOWbWu59vHM7bQsibFPSfN+G/9+/Y97dtAeyOx5
nVk/ZG3+XUVv9O9Eq9XK+3n4MHKg6kjl+MtE49/vjuirULCvCJS70yhv0ec8+t76OodSq+sbJL4G
FwAAAABUzuJk73Amk7ltzycyHW3dqPWTlTz/N8/1RJT75JnqtzixRtPx+bVtX5/L4Z53qfHd9CmK
QgAAAQBJREFU2z1ZXxwdziZz274+H09H+xeyfcSRevBKSGWeWimr6tX6Yj+rQ5djkeZZX+yPpurJ
Of5dxXmgjvPdTkeuh/sfv3xRTT7VPgs66nk4Ojq2bVkuV24ZqpR/YCC+4syuc+vzFmPeJpZ3lsZd
XwAAAABoGPUM3tOhSO/WWGR2tXY+WF/N5L/+1adFFieWv97O+slKlIcrvdt3x1oZ2M3jQ9ePH85U
TVlfB+UTy2QeWiSnXop7v//xy2AtogTCyhdVie9ZzblZX20rCQ8jnxvdO7g3EZm+frEWkcXPX3lb
+6bVSHI8bhqgBGp1fd0pzuijjz766KOPPvrom6ev+zbOg0C/+nwre7MAAAEASURBVPdKfzJ3QrV6
V4fezf7WY3YfH7q+mon0b/b8HWTx5uFMxuffGJY8/lDvNVk/m/erZW3vX6xl/esfvLJ5EurJQnxZ
3ZvwppNxfHJiWZa1v3906FnEp+10Ux8tfjYYRKWiqzU8STtmR1DlR19scpBPfv2fPYKJKckhT4P1
o569c7UWWTz6acXB/Vb9vtBvGKK+AAAAACDBx6JoDwIdngZihsq9UZHcxaOpiKyerPWl1k/8kwBV
B9VbxYtLpFDOcmrvdxOvtq/PxzI7fHPROzhTudtz2z4dqtxxJ7t3PpHZ4ZGW2zuVO7Zt25eXnkUC
ON1Oh1pOuTeLWEs8vrx5NQ1KJDE89y+YAAABAElEQVR7KN9w0s5nh28uIlfkY3g6nyiXPU3O8urJ
OrgPQAkkzrHf9tp+kaGztLdLeaflS8TM/LaD6wsAAAAAolJY5zJyS1Q9fjiLc1CHp9fn49nhnmVZ
r6/ccHDSUlV5voXJEvudPlpE5BAPT23bPu1d7FuWmhm9zR6XzX2EJNxuuqWcLOJHC1E23iYe35mk
EfWtwhG92ReR1ZOLiBUFGZ4qn17UF98BZ6h1JM+xl+DM/OhZ2mqpm4+90/LXm9x0g2bml0GTFZ7R
Rx999NFHH3300TdKX4vlOlN2Y/Tdi+PLe31xcps3E303fpVO/2Yv6PkaZJ8U3q8T5J2O3DjY6t//
j/a5Czl6DgAAAQBJREFUCq3tPbx7rTxED8ouiWy6qZCp8jE3nrQTOBfNQe7dGgckMvHHq6u4FQUZ
nm7cIWdCb+R2BPeB0jFo/6lFP3mOvXdm/vVqJd7Z3nq+hrOUPImali9JM/Ortk+5EPUFAAAAAA/9
m73tlN0UqMvxWz0JLrXNgtbToFM6gbmoOPN54+/PJxIMji4eTUUmc62OU8pIb+iabvZF5PnX/re9
ZSvshpP1Sdf5uHWrLyIq3zm4oqjR3b479ga1t6jbG7d6IsM7X0s1OxjSkjzHXiQ4M9+joP8E1VI3
o6bli29mftvB9QUAAADYadSkPpUBqXy3O0N9om8E2+fJrh8/nMnk3kHPuwKbcKgAAAEASURBVNTw
G+djdRGtaj3fvd1zrtwL+IPVE+v9LtwKVL1bY7Uhn/4rX2TTyUq+eN2f8OySMhg6vDMRefuf3127
a1ZfkvI6HYdSzbMuxm09DhjxnGDRN158Wdce1JZP7h30RGT4ldeel+lokxmt72uQh8Q59qEz8zUW
bx5uvzi1lERNyxdj5yfk5eWXDt0nINkAAAAAsHtoublusSNfGNB2p/zNg0s5XYNLuV02S80n4g8w
loPI9s9Wl7VFLm63Wj60YNpmMzYbOT6/1i05OT8fO538lvMs4tfWuoV8M/72ySTcorqW/trzBWhv
olYUtfF6v0Bqt2cTfJ/7PsvP0dFRSUrmrjG4IJdTAAABAElEQVQU91sYj8ei7WGJO5O9+Sq0xyzL
+Pza09X7C83ze0363TXldf7hw99aL790+P03fiQilmXZPOMZAAAAAFqIHqO1xRLbFsuSIhe3riJX
yEZyfHx8//79bq8xgW1R9sWJNZK5Hu1VD4+e6G2qaXx+vUln3ywlWnF3T6H3TU2tTE9iTvrdNeV1
fvT0fRKeAQAAAKBzFJryKyJ4vGA6MXPsQ1ic7B3OZDLfurHepfzT8qWOmfk1Q4Vn9NFHH3300Ucf
ffTbrR/j5xbSV95vrBfdCvug3x39xDn2Xq4d/cXJaCreclXbpUKn5UuqmfntqvD8TNMDAAAAAAAw
m4K50wBlMTydWwH2AwAAAQBJREFUT6ajwz3rUGR8fn063DxM+6wXvZBTdE1majkRGZ/P726X6h1c
zq+skTUVkcnczpLe3CpwfQEAAAAAIlBzhgXvF0xheGrbp3pD7+DSPvD3chpX7nN9Az3kQG8LqEa0
tRrKXAEAAABAiwnmI9tSdoUqSl6ZB2WuDIUyVwAAAADQIdQzXnVMeVhrJRfVsQ/7rQL1AFxLe5Cu
YnHisfTixNvB/Vq838Z2qa3uycKzlrCVAXQLXF8AAAAAyIXnEb+zw71O+011er+bYry2PZ/IdLT1
Y9dPVm4RovXFvjWaepZST6Kx7etzOdwLWWp9cXQ4m8xt+/p8PB3tX8jB5eYbdJ7tmrvAI88AAAEA
SURBVFAlGKDNUOEZffTRRx999NFHH/2C+sM7E9k8HqUK/fyUqR/m/VYy/uGpbdv26VCk9xfPi6q9
KyKq5G7/Zk9kcWLtHc48C6nH0ty93RPp3b47ltnDx2vvUqp87y1PBzX+9cXR4Uwmc+25sCXRpu8X
ffP0y4WoLwAAAAAUZPFoKttnonSYujOf19dva7FYz4NYJ3MnVLvperV1hXs3+1uP2V1qfTXbPKXV
00EWbx7OvA++AegguL4AAAAAkIvpaDNFdDSV8flZZ5+J4qE+73dxYo1++rUf25tYrPb41uGp7Y/Q
Du9MZBPqXTyayiYK7y61fuIP0Dlh+p25cdEhApPt/bORs5KuAAABAElEQVQNnHncg+/9q38pJxNe
f+1ZZKsUaGg7tbq+/X4fffTRRx999NFHH/2O6G/n+l6fj2eHe3mukasdv2X1B4PyZTXvt8rxD09t
e/6pr7slqh4/nMU5qMNT52uwrNdXbjg4Yal+v1+p59vl/b9xffcHeH0+no48Pz+V3D4ey0//30XU
4n56B/cmIjJ93fGHF28eziQhDb5q+5QLUV8AAAAAKIhz0Zxnsm8B6iq3HEZdsV8tlutO9I2ktylb
dXmvL05u83ap3k2/l6KmDRPzbT3q9+f6rI7nO7l3r5/tRzk8nW93t4vXp9KxNHhcXwAAAACA7NQ4
77d/s+ed6JuAKnl1qyfBThVT0gAAAQBJREFUpbZZ0HoadLxLDcajbpFsJm8rz/fOcHhnopU7S6Xz
jfOxzA7fXDjzv7s1i4EKz+ijjz766KOPPvroF9XPHTpsV4VYP9V4v2qKpcpy/snPpqrOlTbRN4Lt
5E0n5nfQ8y6l3JqrTYfx3ds9Wc3/n5kkCBfBkP1zR/SdCK9Wyvsvns/o+zoB5NFoKmoXSlhjq36/
RH0BAAAAIBfbMlfWaCqT+WWnIkTpWC2XzqvyvN/ewaV6ULJlWV//6fPn16fDxIm+4mSrzg73LGvv
UM6vT4eBib69g8v5ZDqyrL3D2W5+XTvB9saG9J77m6y+r7pDIkmTfFvJM00PAAAAAABax/DUtnkb
A8UAAAEASURBVE+bHoQp2Lbj91rWNg5cDNe+q9Wq3xM1jffA38vfGPhWgksFuvz3/2nbPyllzNA4
anb344czkYlKYf/0X/1XkZ8+fLw+SH+jQz35qrpMgAgsy7K9Px9Lu51k27bvrdvBXcr3NggVntFH
H3300UcfffTRb6u+Hmq17bIczww4469s3q/h9kffEH014+BWb+P5blIyBl//qUjWuG8Gyhq/FfHD
2dSQt4Nvlaus+73qbZSUkPAMAAAAAFACNVa9AvCgqjGr2d2PH85ExufX2oPHqvR9SyImVFsiuL4A
AAAAAGWA9wt14k623zucTeb2Zna3t+Bc7/bdaN9XTSjfsH8R1qddG5l0AAABAElEQVRR1MBSvk3E
P9fXLdLlBq9b1OI2VrSu4IrM2Xbsg32wD/YxuQX7YB/sg32q2fa+aKxWK7dPkJrso837XS2XplmM
/aegffR9rFH7DL+6XH41rM8XTpf2pXepL5za9qWIiPTUUn9araTvzPoOW9enVLfeZmDZ9p/YpdTr
xEm5imAys/5WtBm/aYPGL7906ArZFbNcLtFHH3300UcfffTRR78UfRHPX4oPyid8/OWt2mT7N6t/
dHRUqb5C11drrE6/ChrQT9rto7xO8U7ljVnEdXpj3gb5w4e/pcIzAAAAAHQON/ra7NrLq/kM0GFU
HNgXv3WTmW2tnrNojq4ePfa9DV/LEabvPAAAAQBJREFUyy8dfv+NHwXXBAAAAABgMj7fdnslqxxO
9+OmLnEbH0CnOT4+vn//frfX2EqSbvc05XV+9PR9ylwBAAAAQHbWF/tG18cxAKpeAZgEri8AAAAA
ZGVxoorK2rZtzycyOzwq5Px21jfE+wUwhlpdX70UGProo48++uijjz76rdUfntq2fdq72LcsazQV
kdnVOqOycgY9+i30D5PtX8z77ej+gz76DUDUFwAAAACysjixLMvae3j32rbnkwJCg0H444ha6AVH
Q+wXwABwfQEAAAAgI4tHU5HJ3L486Dkt41u9mP6x7IQ/iPcL0DRUeAYAAACAjCxOrNFUJnP7dLi+
2N87nAXAXzkAAAEASURBVIl6k0UjpAyzVhvW/dTX7lPQiazw7P+4Oaj5XB5UeDYUKjwDAAAAQHcY
ns4nItORZVl7h/3z87HI6sm6seHYdkt8SWK/AM3xTNMDAAAAAID2MTy17dPt24ODWtfeYs/RDUcn
BccAoFyo8Iw++uijjz766KOPfmP6bSePfbLEftv+/aK/m/qW5fkzBBKeAQAAAGDnaPhynMxn6Ba6
l2vsTk3CMwAAAEDJkMoKyZD5DC3HskQk/OFkYmQpNyo8AwAAAJQMvkwaEis8h7b7Pt32iZEO65T1
O/JUnC4Raj7nhQrPjRAT0XV2YYMrPBP1BQAAAIBa4dbAFmK/YDbx2cvt2meR2IumAAABAElEQVRx
fQEAAAAAmgPvFwyjS+6uDhWe0UcfffTRRx999EsjeMnYrvHXr7+l6to4MaVmC6y6HPtEV71q+/eL
flv0Ywoyq+dmu3/59E2AqC8AAAAAGIO67tavr6t0iT1x1maDrsR+oV66GtqNAdcXAAAAAMAA8H7b
gH5zRvceQ78x077JHXR3dajwDAAAAFAaVdUB7haRBZi1csfblxKIA+er8Ozt6vmmYr82/cM6vllq
PqfDrbcc/FJCW6SwRY+Pj8/O7rtOb+L+UMpKi5Nck7n09VHhGQAAAAAMxxCnveppv0ZD7DcLwV0l
tKV+Q8bcfqlh1THs8j6F6wsAAAAAdVOWS9DNhTU4JAAAAQBJREFU63i839T43MuqHU5X3FeYLDHs
XDW4u2mgwjP66KOPPvroo48++o3pm0waD0rZp3xfK7rmc7m0ff/R9WMczpjy3un13VXoDrD+NnSN
8estYp80NZmXy1Wlfm+7jg9EfQEAAACgJjJFw5yevsv65gKhWwejnjEQ+82O+x35bKZP0K16APoT
gMpdI6HdguD6AgAAAIBZhITRyioZlKgT5qw0NvcY7zcLQYezdLP5Ep5rKEmGu1siVHgGAAAAKI22
V3iueuQJpZe9FZ43UV/vA2Qsy1P/OXS0vtWElZOOrPCsmSC8EnVExekK7UbN5zBUhedQ2wRd37Iq
PKua0lVTd03mcl/fcOsAAAEASURBVKHCMwAAAMCOsNPViVNQ3D4ZFJqqsVsuxH6jCbWH2xh8YSaE
diXMJbY0u+gfqZ7up+qjqM46tZa5AgAAAIBmMdAT1OdG1kOa+kN6z+apq+oVxHB2dl+vLJX+L5T4
Dm6dqt3xe0Pb7Q3Bnu5HwZaotVDhGX300UcfffTRR78aLKtafZEO6DeP7gdndyzrs3813m97959y
HdEo9PEfHR3rHmn6P5c0NZnLdXfb8v2mTIEumCxN1BcAAAAAdp4U19PNx9+I/WooR1Q9vCefI1oD
8V63Pn4IxbIsN6gbmhGtN+qdQ/HP9XUd936/X0XLarWqSLnOraiuBfvEt2Cf+BbsE9/zcC3iAAAB
AElEQVSCfeJbsE98C/aJb8E+EkGl9hkM+svl1kqpdfqh4xkM+uoCsmKLhdhKH098zyjC17VcymoV
o7JcrgaD/mq57A8G8eMJQaubFGPV8n9f7mg383535/dlwvEnzboGg7idx/3NdtI+ov1uQ5dSr5WD
mhi/1X1a34Re1eI26nnOMZFhKjwDAAAAlIOvFHHV5Z7zCUctFVLxuAIiazsHBhFT4dkSO2RZ32r0
AGn6Cs9e0cBCYlmbCs+BnrVeR5dSsLjl1FZvOc0a212TuVzyVnj2xW+Dda3yvXWhwjMAAAAAmE1E
leY6PYrchaKrconVgCj43Ci4uyWiwrlBJ1a9iHKV9U/jANGMQAAAAQBJREFUOyuY6wsAAAAAIk1M
IDXUQ8hRDakp2jLOTuArrOVj12oyl4uvOLN6EVWxOfTTxPLOQoVn9NFHH3300Ucf/Ur1q6ZT9qnU
aahGvDH7l1Tyqu37T9X6VT+CqO32adfxk4RnAAAAgArI+7AciKNGe0auKib72ZuBvO1VUWayOxIy
n0uFTOauQsIzAAAAAEAut8ay+oNBk/c3eNxRGSQ+gkj9HR0dNzE6KA0qPAMAAACUQ0iF5+2bSlZX
boVnRZ0VnmPqM3uGEFGfOW41wQrP3n/Dy297v8LgWrYVofVGsSXMbtsyzFp7JaateE8zk4IVnuPv
FYQasv6a0q0kb4XnqqHCM9HIhMoAAAEASURBVAAAAACUSqXJt7lLLaccUm59aTTuSuZzOshk3nFw
fQEAAADAOFrviliWSI3bgPcbRo7QLnQYKjyjjz766KOPPvroF6LZWZZVr918+zdOHg8q9deWwT65
5v22/fsN6pdbk7l79mmXfrkQ9QUAAAAoAcoMtSDcqManjTJ8wNFpzy3YwJ2M/ZLJDGnA9QUAAAAA
jW458avlsh/WboRHVIWDuhver2WJyP2zMxEJ+Xq7u91QCCo8AwAAABQiKq+yngrPWR2c0P6ewsbi
FibOM574AaWv8By+mLc+c9JQchGoAh3eJzgen90sK7Tys8dK1XmnXaz53PjEXSo8p8LgCs881xdI
4eVQAAABAElEQVQAAAAA6ib9ZEtD8Y7e8xwmn4vWSBS9K8/7jZm4e3R0nHXiLuw4uL4AAAAAZWLg
hXjL3Z8mSPMVmvY1+2in96v7usGB4+tCEajwjD766KOPPvroo18xUdVmayfHKEq0T+ja8+mn93xM
qUCbdx8oNP4U3q8Jv68iNZlNGD/6bYEyVwAAAABgEqEuTnTV5QZoUczR1KpX1GSG+iHhGQAAAGAn
CHE2zHEmW8tquWx6CEmYkflMJjM0DhWeAQAAAAoRWbU4VTnjQutNWSTY7RkyQtv2jbS6Cs+etWSS
1zc1/QbnI/eyvs1zKzyLp72mCs8xw6vxgr/Smsz111umwnMqDK7wH+sPoAAAAQBJREFUTMIzAAAA
wG5jWSIRzzsiLlIc7a5Dk2HXujKfyWQGY8H1BQAAAKiGiOmphk26bA+GWy39bGTXBa2Zarzfxh+3
C5ASKjyjjz766KOPPvro10Xt3k7UCtMPxDj7Z/SljBp/Dj+w5PEH5v3m009fk9ko+6PfOv1yIeoL
AAAAsFtE+b2OW5TLPadglofESGiD9sob+yWTGdoOFZ4BAACg63TRLSthm7poFlOwbdkEP00kXc1n
ajJDx6DCMwAAAHSdeuv6eFYVqPq7rfFbxkoTiwT7SiN7BiJbCacWsR025ozjqbDCc3X9S1xW4fti
tPZthWe3Z1OEjaFFE3cbqfB8drZdo+8XS3sAAAEASURBVLJGaD04E77exqDCMwAAAACYg23nTGyW
Rsp0ddiBaLCS9uZ2CJnM6fHdzYj6LejdsKE54PoCAAAAQCq4js9Ps/N7vWgDCfk6W/QV+4KrMbHW
cu8w8ENoKVR4Rh999NFHH3300S+HkHmPFV8gxzhTvo8ie4ZO4tRokf27o699KWXpJ9RkFssWq4qJ
u5Xa37ZluVy5dxXcucfBnT/3piWOP8qkqj1xpa3cP6vRtwJ2tDT0t1FLBT/1QZkrAAAAACjE9mrT
mMAmSKy763qJynXcLgBJ+BzaUGc7ph1CiXJZ7Q36a7ezz+/1fRqEhGcAAACAzLiXv41c2oastKIU
TMvqS/YcjT34AAABAElEQVTYdVh26U4X/qmL/EWq8j7xyASCBcWqTnhOORhIT7zLWtZSVHgGAACA
rhO4GvVdK+e4Agp1fcN1AgWgtzV+Ews0R6/dKxm5jb7azp5xxgw9omh11JC3bq1Eatbq+hpY4dlX
3ztYdDvvGMqsydyq+xOqwnOoqXyN+q+1yJapCs+hO3/wq1a0wZBlk7fCc7DddWvt7SHI0t/qSwVf
+Aip8Oyma/f7fVpooYUWWmihhZYOtPTVv54+/UBL7nU5b0P7BNmuPXqpNC2hyv3BYLVcun3UdaNa
o79nv69foevWiBizs35fy2DQ91xkejVDx1ye5atpWS4l9wg3Fgjd6/ph34XflIJJogAAAQBJREFU
Muob1FpC1zUYRIrYdqFt7w8GIo730vx3kdRiWbJcrlaryF+l6lDi712peVs8fZZLWa3Eto2wTzMt
IjF91OugBxuK7vG6Oc8S7dwmQtQXAAAAuo5JUd/tE3SriPpqar4AZPgIE8O43sWC3UNiXBEra03U
t/h6Y8yUGPWN+EbKDO2m2YpKdEsm+JTdKHNKSQnP9T9JuJWUEfX19Yl5mynqS4Vn9NFHH3300Ud/
R/WbrEBT7rpj1arazE0t1YL6VX2/geBzRaTSVxfiMf5AWCmqmCJVotWpKujOhYzfN3G2GJXa396U
6XIN7DOI+zq3ofTxn53d17+U9H8p9augLfpuDRXqePgAAAEASURBVGdfo8L1afW3vqXUvN/4aC4V
ngEAAKCzNOncRmB2IC0ZA00aiZFjjd8BLLEty/k3uGBZ7m4ypXq/neHo6Nj3LaT8g0T0Ss6ySWwO
NupvozrErAXXFwAAAAA6ivGemyX29i/M3dWjmrVivPerYrCDQb/EGCx0G+b6AgAAQGfxzKsMtBeY
bJt/rq8z21M2Uw9LmesbVlc5OF03ZFXZ5/puGyxLzVv2djFprm/9c1bT7VLJE3ebmqscxOB5v/XP
vGWubyryzvWtmrrn+gIAAAB0CSJIksInasxKJsUtY6KOtljOn+29i2ECJtkQoCC4vgAAANARTL84
byhuplf62Tma89x9d5JeAAABAElEQVTik2xdR9c4XzcI3i90BSo8o48++uijjz76rdcPXpPvyFV6
Td5s0HvLaN+Y7pXvP8tl8iCK6GvjjylSJXlrMpvw+yri/RoxfvRbq18uzzQ9AAAAAIAGKNcPajig
qs9rVU/7kFoHFLn5hsxZde1TwXgGg37MarNh8g2bKm0IUA8kPAMAAECLMdlZiCKkIlQK6t7SePfG
efRIbC/nkZvlDisv5WXtJmQy25tk5u65h2Q+Q8uhwjMAAAC0GL0ArR6O8pTaDavwHLpUpvWmLSEc
urLkwtDha4yU9HojvtrLkdsYU+FZ37yNkK/Cc7ho7EhqInFsGYeSXJM5K74i4z654K5spOZOkwAA
AQBJREFUDsbUfKbCs6EYXOGZhGcAAACAVJjmgySSPFrVI7Xv3XqyZO3GbG/Ju4HP+9Vz1w3c4ch8
htZCwjMAAAB0k1JctTb5e6X7IeUJGuQiRWftJmcyZy9SlR+T9zwyn6GdUOEZffTRRx999NHfaf06
qN3zq26Fpft+Dew/mucW4+tKOne37ftnzvGn9n7bfnxAv1n9ciHqCwAAANBilsuaLj3zebwGFnxy
nj8kdrAOtu7rVjvsUHXTLBUPsV9oG8z1BQAAgN0l5qI9ZiajO9UxA+V5NTgaOYibuCuGzVkNFr4y
Fub9QqugwjMAAAC0mJgKz26777o8ZBqnWJuuHuWoUruhEx0JBmsAAAEASURBVEHjhhgvkbHCc/ii
gZLThYoER6zMo5OuwrPbp1bnyLLin2wc8nypxi+D42s+m0xDNqTCs6EYXOGZhGcAAADYXYzwKaJm
mmqfFyT/ZsYsmShau3FjZu1K1MTdVmTtultl5iBbYUMAEp4BAACg4+g+QxnOWObL+6hZnRX5CS1K
ly2DEh5BRNZucbAhtAEqPKOPPvroo48++l3Q1x+G6qHiC/HEekie8VcwmHZVWA2SdfxpHkEkmqVT
6ReIW+6a/SOJsKEhxwf0W6pfLkR9AQAAAMCLYYG7eIe0nMGaGbdsVwy/XaOF3YO5vgAAAAAJNHU9
n3O9pXtumQQj4uBZB5UY2i1MILUhAAABAElEQVT/EURGzVkNbpgJo0okqhAcgAFQ4RkAAABaTLAU
bkhxXG8FWl+FZMtKrvAcWnzXV/+5hKGHdfGtPTj+kK5aQwloyhk0gwWyUywRQ84K1TloquZz4g7X
yKhyUJcBqfBsKAZXeCbhGQAAAHYJy5LYx95kokE3xHwPKA11ZDJnxczM5xaBAcFUcH0BAAAARCSh
CnTND5cp7jUY63SUUJO5anDeCoIBwUio8Iw++uijjz766HdTP34iaMnTRKMpxT4x7qL5FVbjazIv
l6vyZ+1q5LRP6nm/ddi/yj21qvHXNXHa2OMP+gZCmSsAAACAhijRpTEstmaJbVnOv0EqKVJVOkYP
KK4HIgAAAQBJREFUrg0YVTYMgIRnAAAA6BLdv8aOn6vcqLfWgkzmrKjE3Xqydttqo1jIfIbUBMtf
Wdoxxf1I76Y62E79wpDO/lVQ4RkAAADaS2iFZ39pYW9RZkts8UaknArPbh+3vdIiu8GC0WEf+rsE
xl850RWek4tUNeXwlLjemgs+R9V5Fq+523XRXo0NqfBsKLkqPOtObExPn6+rv0h0Zj96+j4JzwAA
ALAzmBwUDp0I6xtyg+O3HX87Ztau6JnMYrCpM9Fg1m67/NsYyHyGJFKGYAtGakl4BgAAAEhLMAJc
/+rrH0MHM5kzQdZucbAh5CI0GqxQkV7x5kJHdVb4XV+3SFe/329di7IC4dUAAAEASURBVNtY0bqC
KzJn27EP9sE+2MfkFuyDfSqyT5DVaiXSV/+6LaG9V6uV0lkuVzKIU/O12HZJWxq1DWFbEdyWSvef
wUBfr/860rb1tccqL5eysXO5I0zfIqXYZ7nsDwYiIpa1Wi5DZUsZcz/wLfe1fVX0dqPsk+b4E23D
6tZeun1KtHxnj8+b9vA9vN+XFD6qInR+r4sv4Tm+s8PLLx26Xe2KWS6X6KOPPvroo48++mXpi/j/
VKP7b2g/t+dW3ydh+3UCH5Yxfp90YO2hW5dBPyOha8y/4amXqWT/0dZepn6YOUoef8BuW/1C30ck
df9+y9uEo6OjEP2y0fXVGqvTr4IG9JO3t8nDAAABAElEQVS+3CivU2/39Qn9KPgiXv8PH/6WhGcA
AAAADcsSESuminKHSJXJTIaqSw1Zu503NZnPEIaKA/sCtm7RZrdR72Z7E56DnUPWQoVnAAAAaClB
zy2hwvOmU8hVt7ePW0W5ktrO0evV60v7mkvxFJJrMocuk2PFzTo2la695prPwfXWv+rSKcOGVHg2
lFwVnmvgo6fvE/UFAACALlDFpVQ36tHmcXchBuKWxcGG0AS4vgAAAADhhMeQ20DzNZnbZa+s4LkV
BxtC7dT6XF+9FBj66KOPPvroo49+TfruhXXYFXYLxp9CX3/cbmgeuPuXWX9TjLci2mr/up5Vux1/
Nf5hk/YvKBULGQAAAQBJREFUw4Zt3X/QbwKivgAAAADmEvMU3017+GOSCKRVToNxS7XeDnzHxH6h
RnB9AQAAoJVEOYRprp8T+8Q4nPWjRqv+bT6TGXTw3IqDDaEuqPAMAAAArSS+9rL/KtqNkkVdXkdU
ga5jrm+gcm96r5trt3BqdqJqq/lcecHx5shuQyo8G4rBFZ5rnesLAAAAAHGETtX1UmTiLlRCXfN+
uww2hOoh4RkAAAA6iN8tNCqDOQz1JOFQcHFbAFm7xcGGUDFUeEYfffTRRx999HdDP+Ji2l9Bt+xr
7qjxbwsyi13E722N/TuvX03csjv2SUN2G5o1fvTNhqgvAAAAwIaKY03x1/O2OLuFZSEAAAEASURB
VB8rT5i4V/sgblkcbAiVgesLAAAAUCGDQfjDh0R3bs1OxoYM4LkVBxtCNVDhGQAAAFpJzmK3MRWe
9WTLAhWeE0K7oTreZYj6FqVxl6mims8drvAcJMmGVHg2FIMrPBP1BQAAACjqReRxd2P7EwZuN/XE
Ld1HdnUSYr9QNri+AAAAAHmI8U65UAc8txLAhlAqVHhGH3300UcfffTRT0BddW9rMoc9fDfqcbsm
jB/9ZvTLqPns16+rArkp+kk2NH386JsEUV8AAACAOIjuQn6IWxYHG0JJ4PoCAAAAeLA2jxkKDe0C
ZAPPrTjYEMqACs8AAADQSkqs8Fxukao86MVstforyv3+AAABAElEQVTSkBMDzVdKzWe34LiOaVta
HV4bNlXhOVhcLHR363YNsjgMrvBc61xfAAAAAEOImbUrEj5rt1p28Rp5lyhj3u+uY4ANlVvn83tj
uvFtGwWuLwAAAOwKliWW2IlFqpx0Z4ByMcBzaz1eGwbvXoX+umNucpU4IjAfKjyjjz766KOPPvqd
1U9Tk3m5XPkvXrX3xa9rM4w/18pMtj/6frJ7v2aN3wT9jQ3vn525v199InBoSnjuGGxw/Gm8aLWu
NHn37bN/vfrlQtQXAAAAOkXKTGazYjVmjQaqhNhvcRq1YRovmoRnM6HCMwAAAHSBqEvMljqVLR02
pKJ4vWKcqo0F+oOBMpM1JQAAAQBJREFUJU7VJNcqoUatp/aZgRXWwIUKzwAAANBKOvu4Xa6di9MK
G+ao+exWeM5e57kVJsnE8fHx/bMz9Vp5v+42Bje2lM0PrfDs+xr1MUjbj0X5MLjCM1FfAAAAaAfN
P4KoHrqzJRALz6otzsaGtlgiITbU7xWUuM40b/lKsxJ0iS3toK8+Ui1ut/i3QXB9AQAAwFzSJHVy
iQltJav3y77uxfF0xLGhbdtRsdZSHqsM1WFFHOt1P9b1jS3nu7ZiPg1Vo8Iz+uijjz766KNvln5i
TeZyi1S1zj7od0o/qWJTZv2Mc4BNt08sqsKzbkPfwcGdA5z7uKGP/+zsvq9ofMq/lPpV0AfxmeoA
AAEASURBVBb9elKgqfAMAAAADRN/mageXmJcTWaAsqDmc3FqseHR0bHnAeCp/yA3lmVFBYQTPw3i
T3h2Hfd+v19Fy2q1qki5zq2orgX7xLdgn/gW7BPfgn3iW7BPfAv2iW/JYZ/BoC/R2HYq+7jtRlkj
2ML+E9+CffTM59VyGW+f/uZf39Ylrau/7WNZq+WyTfYJazk7U1WuXEtsM5+tsHm/Lstl/v3H/KNN
sKXu31ewRd97+31JMSlXoU/iDe2cmOHsgwrPAAAAUBPl1mRm8h5E0tLCUSn36fgKzxHb7mluqX28
qHrL/tYqjwvhawQfeSs86+2h83ij5vqGvg3qU+EZAAAAKmRlK3KiAAABAElEQVRXajIDlELBms+d
cGiLQt3sdqLiwEGPV71Qjcq/Tfk2FFxfAAAAKJN63F0mRUI3SeO5hba7S8WyE/4g3m8L8fmrrjeb
plvU2yBUeEYfffTRRx999Ivqp6zJnO8qtAP2QR/9DHgrNrVv/Cbol1f1qpv2aY9+uRD1BQAAgMx4
ryf9BasItAAUQo9bBupRJSwCCmK/EADXFwAAAFLBxF2A+th4bv3BoKxf1865xni/4IUKzwAAABBJ
uTWZS0QfGNcv4Kczrk5MvWJfnWfVIfqH4enYCfukrbdcXs1nKjynIm+F56r56On7tc71BQAAAMPR
Z+3GT9wFgMqJmbPKjzAlzRtq61dBsgAAAQBJREFUfbFvWdbJIq7P4sSyrP2Ldf61FFeQmKGWot44
uL4AAAC7ToyvK7i7AM1SXsWm3SUYEm8R64v9eK8ZUkOFZ/TRRx999NHfRf0SazJ30j7oo2+Qfm7v
N0X/LtgnPdm93zLG3zu4tG37dJhDf32xv3c4K7Bus+zfNER9AQAAdgIymQFaTJHYr2+RlgY/C1Jn
8NzJGj45sVTysC+LeHFiKU5OTqzB4EUti/jhkbX5bCEi64ujw5mITEeBJGSlaVn+NGSfQkRnz4hi
8rE3Q92/eBLablmD7/2rf6tFkrK7GwPXFwAAoLMoL3cw6JPJDNB6opw3/Qcc8WMOOQJEzXDoMDWn
jo+hWEQAAAEASURBVE/ljh0M9q4v9kdTmcxt27bvyNS7yEzuXtu2fX0+lunoZCG9g7PzsYhM5j4d
5RNP5vb1+Vhmh28uohRERBYne4ez8fm1bdvzyexwL+2MXW2olzevtkNdnFijqdK7Pn/+p1/3+LlT
uSMSFeJunFpd337f/9w/9NFHH3300Ue/XP0SM5lT0i77oI9+i/VLcd68P/5O2SeR7AbMP/7xrV6w
cf344UxkcmcoIjK8MxGRv9AWuXu7JyK9m30RWT1ZJ6xh+mjhz6UOKPT/869fn4pM7h30NmucPXyc
pBwxVBERWTyabtdz8H9PRKaPFvFbbQxEfQEAANoNmcwAOwRVrwpSmwEoxg7jAAABAElEQVT7N3sR
n7juYe/WOJ+2Ew6ejgK5zWnWOLt6Ets7ckERkfWTlYjMDvfUqkdT8Xjpm62OPzE1Ba4vAABA+6Am
M8DukvKHbY7DYRpN3z6YXa3Vi/VV7gpWKtxr2/OJeMOuKdY4vnUz7WqCQ1UBZZXvvOHyoCfWnsxE
VAq3sbseFZ7RRx999NFHvx36uTOZDRk/+uijX5p+eU/r6aZ9Eknt/ZY8/t7tu+ONq7q+eH0qIn+M
7X8zNN96samgpaKxMVnGqz994d5EZPr6xVq2ycpDLaVaJTbHD1UtqNCSpi1rYVmWZV205SYsUV8A
AABDIZM5CmNDCgAms5uHi0iaif32Di7ne8smFAAAAQBJREFUE5WpvHfVnyT2H96ZqMRmT3Gq4akq
ZGVZe4ez8fnZQS9O4vT6fKwylEfT8fn15UFPhqfziZO1fHTVD0+71oZqPZLNUC1rOJW5WlZkJHIu
cqA+Gouobsbuac80PQAAAADYEn8NZubFBAA0gG07xwtuBeVGt2GJh9fewaV9EP1+eGrbpyIisjiZ
TgONvjeeD6LXEaWwWoV29nU/3bwKGerUEhGZTk9F5HDPaRdxzLVcrjaFwA4cH9hXttokrJdfOvz+
Gz8SEcuybM6oAAAAtRNz4cqZOZSYZ7sAiJTtyZiM+2OIjWFaYutdQpZqIcfHx/fv3y9BKLU1yljj
4sQaTUXFXjGxeRYAAAEASURBVNcX+3uHosKwZlHoJmzSr68pr/Ojp++T8AwAAFA3ZDIDQDkUzNo1
qvxuU9Sa+Tw8nU82BZJTJCvXSP0PxqsfEp4BAADqgEzmKsBuAFVl7e4UddowIoO5fnbwrESFZ/TR
Rx999NGvSj/lTfTl0tDxo48++i3Tj/DcGnRjzLJPDBGx39aMP51+6Q/Gq3r85ULUFwAAoDR28CY6
ABhBVNUrtx0S6Wj8nHISLsz1BQAAKETpN9EBAPLgO8rEHHQ4HkXRzBOP0rM4sXzPOVKsL/adB/2K
96w0GKj6ywsRS+RCdvusRIVnAACAzHATvVk6UZ4WqqRbUbtk9O3Vfx6q3bLEtv0EwwqyAAABAElE
QVQm0Y9i7bRVaRWeg0QcYipcY1oWJ9tn8+qsLWtPZCISPovYtqMWrACDKzyT8AwAAJAMmcwA0A54
3m9xWpL5rH3DPfdBuwqDR90kJDwDAACEQyYzALSSrEclHnEUxMjMZ8uSqYjMHu5ZlmVZIu7Y1iKW
yMncOSstTizFyYknQ/rhkbX5YNHEBjQNFZ7RRx999NFHf0sjDzZskX3QRx99E/VjDklNe25G2Ccf
tXi/ieOPOCvZItci4rq752P3o/XF/mgqk7lt2/ad30+1hWZy99q27evzsUxH5Ti/pZ5/I+3sfmQ5
Pv/2dfBtjA5RXwAA2Gn0q4ood3e5XBHaNYemr+QB4Dn7SgAAAQBJREFUWgKHreI0FPuNOStNRGR8
99oW2+7NJyKyerL29lg/fjgTmdwZiogM/8fXtI/Gd2/3RKR3sx+2YKOk9Htt27ZtW7XYG9wObkuU
FK4vAADsHGQyA8BuYVn+AxoHuHSslkvnVZXeb5qbsJnOSuNbPfXiv+w9X9ooqyTKXy23Jlatrm+/
30cfffTRRx/9RvSLZDKbMH70FVVcfHbJPuij76fpOaum2yeN/saG98/OSlR2Hz5UxU3Y2dVavfhP
f3w7/xBTUKn9fX6vCvDq8WH11u0Tn+0sIv4Kz266trsZtNBCCy200NLGljQ1mdVSq5UpY6YlRYvn
MsuA8dBCi4kt/c2/HqY7Nd4AAAEASURBVLR6xcFPGx+z0S1hNZ9z6MScmJbLlb6UWi6gc+32X61W
178XkT9qGr+/Xq0+JX91dyyz6aPF6fBT//wP/2vq6fPvq9WfRK5/L7pOCfbRW2KVN3ZwMpYjzbEh
mO2sN7pv9TznmEAxz/UFAIDuwCOIOo/vK+Y7hXDMfiZNHQQtEHxWbct/Tg08ZTf7I8XLPit5Hs+r
vVlf7O8dziZz+3TodhMRmUwm0+l0fH5972ovdMGsA0hB3uf6+uK3ep8ib10+evo+FZ7RRx999NFv
t34NNZlbbR/00UcffZHGMp9bY58U+sdHR86rWBtmKieRcfzDU9u2Nx6r9qZ3cGnbjt+7+cQpnquu
AAABAElEQVS2bfv0v/0+fsGilGV/FciNT1cWb4azW8859G0olLkCAICWUXo5EACArhF6BAx6vxwo
sxJxB6GRB+NFoB7qq57lu37//3MLOxuNrzizz33V232vo96GgusLAAAtIP4munr4EO4uAEACTVe9
6gLbpFwzb8IOT+cTkdnhnmVZe6+8/fz5WSV5zW2Eub4AAGAoMRdmnK92lpZPToS6YK5vPHrUt7U/
qvrn+maauKs6t8ec5ZF3rm/VfPT0fX+FZwAAgAbB3QUAqBy9XjHEkuDuiuPg+rq53h83YYwC1xcA
AJqEmsyQSOi1I/sGQCGC8V7YkOHEZLkLcEhqAVR4Rh999NFHNtOgmgAAAQBJREFUv279TNUvc+iX
DvrN6ldN2+2DPvom0wr7pKyeeHR07HZ2Ftx4vE74NzutsE+D+uVC1BcAAOqATGYoCHmDAOXT8tiv
ZYlIX712E4wl7LQSbE8Z2l2tVu4qxFsmzHmtZ49zkDIbKjwDAEAl6HfQB4O+71MeQQQpafNlOUAb
aPlR2K3wLxvfM+jO6+2VPIJIc4g5ZJkMFZ4BAKA0mLgL5dKJMrTQBMTf0qDXYnJpj92Oj4/Pzu77
Arm+4lLlnpXUGn3LbuPJ3qclU+E5+vPGKjwT9QUAgEJUdRMdAADqp21Ry+DZx80+LqucROjivhbn
lTaCZk9877333oMHDxpbvang+jM2UGIAAAEASURBVAIAQDZSlgPB1wUAaCXt8X7d0417Pgo9K0lt
jqgvFtwQDx482N/f/+QnP9ngGMyECs/oo48++ugn6xesydz4+NFvtX7VtN0+6KNfvn55nltF47cs
OTu7n3hiKo4+fn2NkX/imfcbNbxQ/eI8ffr0K1/5ys9+9rN33nnny1/+cun6Qdp1/CfqCwAA4ZDJ
DObQnigUQMsxI24ZSpqbsO5r30dqqYInrKOjY9/pL/TPXY0tVp1nyXfffffzn//8jRs35vN5r9er
aa2tAtcXAAAcyGSGVsBOCKkwz3Mzl6CnqDDAhjFnJeWI6hWeJXB8iGqvnNpt+MYbb7zwwgtnZ2c/
+MEICUdGAAABAElEQVQPnn322XpW2jqo8AwAsNNQkxlMJiq2A5CAt9YuhKOHQYMWa8iG6c9Kx8fH
9+/fr3o8OpnXWIsNVZLz06dPf/WrX924caO6FaWFCs8AAGAOZDIDwK5gQNzSXOKP8jXGLfOVk0g1
8zbsrz6qt+G777772c9+9gtf+MI777xjhN9rNri+AADdh0xmANg5TMrabStV2rD4TdiUM29D5uLW
SRk2/Pjjj0Pbv/vd777wwgs///nPX3311dziOwUVntFHH330u6mf6Sa6geNHH/0gFV2ztt0+6EdS
i/fbYvuk0S9sQ1e/opuwLbB/rA3T6Aef0PvBBx+MRqN/+Zd/+c1vfjMcpV5rSwAAAQBJREFUDmOW
bYF9aoSoLwBAdyCTGQDAA7Hf4hSwoWXJYNDP/WC87lDAhu++++4//dM/6S2LxeKLX/zi3/7t315e
XvLw3kw80/QAAAAgPxSpAgCIZ7Vc9gcDkeTqOxCJejqQpLJhzIlpp82fxYY6R0dHun/77W9/+xe/
+MXPf/7z5557rvQxdh4qPAMAtAzcXdgdfHu7unRkJ4dkgjsKNZ/jCf7YYvp4P23qrNSCCs9BMu6H
b7311gsvvDAcDufz+QcffPDCCy/cuHHjJz/5idHBXio8AwBAEchkBgAoBJnPxdFsmK8mM2TdD197
7TX1Yjabff7zn//qV7/6q1/9ymi/12xIeFkDCvwAAAEASURBVAYAMBFCuwA6bqogOz/kJ2/GKSgs
S0TC7YY5M5B6P3zrrbfee+89EXn33Xdffvnly8vLz33uc/WMsatQ4Rl99NFH3xT9Bm+it8I+6O+s
ftW03T7oZ9CvIPbbKft4SajJLFaas1KH7ZMfbT+M0XdDvh9//PHHH3/8j//4j4vFIuuqWmmfyiDh
GQCgSVJmMi+XbTq1AJQCealQCWQ+x2KJbYmdfBNWNnFLyMdmP3RqsAVwQ76K9Xr94MGD0Wj0l3/5
l0dHR0+fPq1jkJ2DhGcAgFohkxkgH/w6oDTIfPaSJ5MZGxbHtWEYbshXRIbDYa/X+8xnPvPcc8/d
unXrxo0btYyWa5fLAAABAElEQVSvbmLKX7kfWWpn1brpSwU/9etQ4RkAoGpwdwFyoP9w+JlANtL4
Yztc8znhrCSpvdlGbdjKCs9BwsoYfPDBBw8ePFAeb6/XK3mNVZOrwnOM1+p+pDvAQU84+KmPj56+
T9QXAKASeLAhAIDR7FjcMtndzcGO2bBCvAa8cePGq6++2txoGkB5tsF25ceGfhSzVBTM9QUAKIeE
ciA86QEAwDS6Pu+3jgfjdd2GWVmcWJZ1skjqse1iX1+IWCKWZe1frKN6qpeKWPVO4YvfKke3SKqy
P+rrFunq9/uta3EbK1pXcEXmbDv2wT7Yp5GWNJnMaqnVahftw/6DfYq0BME+oS3BL2DUsAAAAQBJ
REFUDcE+GeyzXDp1hixLbLvt9ok/Ky2Xqxj7BEm79lgbGmWfHC2+DVmtQmy4aVn/w1/vvfK2iPze
XTakz/+aioj8/lpk6Czy/GvXb7+yFhkd7l3ctg96aqn/+KXqKbK+2B9N5Ws/Xv7P/y6//9lgNNq/
dX35hT+ZaB8RcXem0KXU68RJuS5uUDc0tzkzL790aNu2WtiumOVyiT766KPfdn2RyL/qaJF90Ee/
LOr5cdmttQ/6cWg7TSr9Arta4/aJOSul2SBHv/j5LGLZ6uxzdHRUqb5C11drjGA+2TpYk3liL9Xl
+vx5kfH5tW0HDOjr6VVwFsk4/ioI0U/af6K8Tr3d164pIgUAAAEASURBVMd1emN6hn6q84cPf0vC
MwBAAmkymZfLFZnMACVC7iTUStuyduvIZM5K22xYAZO5fX0+jumwvnh9OjnXuqyv3hbp3+yJ+AwY
6Oku8WQl7iIdQgV14yfu2oGEZ32p4Kcha6HCMwBAEGoyAzSL7zfIjw6yka/qksE1nys/K5X1kwur
V1wRRlZ4Xl/s7x3OJnP7dBj8cHFivX7r+kyONl3WF/t7hzKZyHQ6E5HJ3D4dbfJ7x+d6T01iNJUI
fUPIVeG5Bj56+j5RXwAABxNvogMAQG0YFreMOStJ6dUTyzq3KR0zDGgYi5PRdHz3ds/fPpvKPdu2
5xOZjvYvrm0ROREZzw7NrOQ6AAABAElEQVQDPWVxMpqKTOYG+71mg+sLALsLNZkBAMBD095vd27C
4v16WV+8PpXJvYOe3ti72ReRyZ2hiAzvTERmV2tZn4+nIvdEZO/Qq7A/msr4/BrHNze1ur56KTD0
0Ucf/Ub0K7qJ3hn7oI++gfpV03b7oF+yfkbvt+D4E2/CqloS1fm64eOPOk2mwWtA477fZvTXjx/O
RKYjy7L2DmciMh1ZJwvp3Xo+vKeMRCyRbc/Fyd7hTCbzS6/zXNf4G9MvF6K+ANB9LEsGg34XbqID
7ADBKYfLZZsuraALVBz7rTWTuRGaDp4bw/piXz2It3dwuSk0rCphqem6vdt/87xMHy1EZPFo8s3Q
ZQAAAQBJREFUKjK+1dN6iqgyV/apnIymIuPzbwwb3JgOgOsLAB2ETGaAVrPrV8tgAmU7b93JZE7J
ZkucR/5COL2/e/DjyXRkWdZoOj6/9sZ0r8/V/2trNBURmR3uqRrG1v7FuvahdgEqPANAR6AmM0A3
oLYzlEC+Cs+hOpJzL2zfWSnUKS9Ls4INNrLCcwUYXHg8HIMrPD9T/1oBAMoi5sKiLScIAAAwF9t2
ArXpTirtc3d11MZWpFnWzYgdBBuWBwnPANAmyGQuCXf2UXKnjIlVi5MSMrEih1eKOgBAZqJ9wp3L
ZM4K836Lgw1LggrP6KOPvun6pZQD6bB9KtNfvHk4k/H5tW1fHtype0YAAAEASURBVPRkfbGf4Cln
1S8T9NFHH/2q9ANeR803YU23Txr9Kj23LtgnDXltaMr4zYCoLwCYCDfRzWJ9sa8exgAAsIPYtiW2
JXaXazJXDXHL4mDDwuD6AoARuA8fIpO5CRbfGwycqpFOaHd9sT+ayqacpPsQQn8SspsT7UtDfnhk
efVCO3vymmNysBcnm6WehLZb1uB7/+pZycnJiRWlBgCQipRnJR6+lRY8t+Jgw4K8/NLh5sFRYgMA
1IhI3B9UiftUQdu25xMRldjsaY5sD1HRPp9PJFFu89Lzuf4m6rUuHjE89To4VmgPHAqgBHLtOsln
pc7vlzX8/MoTPzo6Ki5SfI3OaUeDlk79AAABAElEQVTDPQPNJ855SuujnZ62rZ5zlrNU4NOYFZlF
0pfblNf5hw9/S9QXAGqFTGbjWDyaiozv3u6JSO/g3kRk+miRRWD6aNE7uLRt+3S4adrI3eyLyOrJ
WmR98fpUZHLvoCciwzsTkdnDx+sU6uvHD2cikztD2SyYZtjjW70smwAAO0u2chLE3IrTORuqM6Bt
2+6NWHXGElk/Wcn47u3e4mTvcCaTuW3PJzIdOUlS64ujw9lkbtvX52O30V3q5uPAp54ViYjInVFH
bFgbuL4AUC3UZDac9ZOVbPKaLcsaTcVxVlPQOzg7H6tE6FTpxa5D2rs1FpldPYntHblgimH3b/bS
aoO5HjNtLAAAAQBJREFUcGSAiih0E7ZznlsDdNSG64ujw5lM5u594PXVTPo3ezI8tZ3bw87Zby3O
jd3xrZ5I7/bdsXY7eH01k748ifh0syKRichQumbDqqHCM/roo1++fo6azEaNf6f0VWT2+df+t5YT
dHnQS7u0cw96PpHYaPHq3/+PbE73ok7sMr51M+0gvQtuh63ynW3bXi6XWYadmfZ+v63TDz1otGj8
6BurX+ZNWK/n1g371K1fnvdrjH2cxyJ8Y+g2PJpuI8CK9ZWbx7S+mon0b/ZWq1XvZn97olNL3XQ+
Fed8554GtRWls6Ex9jECor4AUA5kMreV4Z2JyNv//O5aJPK5ucrRDLBwawDhymgAAAEASURBVEn1
bo3js4w//Xf3JiLT1y/Wsk1WHm4Top3E5iC923fHrle9eDT1DHtzH3zxvcGAx/12AKIXUCLuKUmV
UfRR9KzU0bhlrXTMhvo0HBFxEpf18+LixBpNJ3M1O0jlLuk4J8MnKxnfkohP/SvqmA2rB9cXAPJD
JnMnGJ7a86+9/cqeShwen1+HRE+HdyYqsdnjXw5Pr8/HMh1Z1t7hbHx+Fht1HZ5en49VhrK7luHp
fOJkLR9d9f31OxS9g8v5xEmqfiQTTc+eT5yM59FPn38tbNgAsFvEJBxJ6SemjUp/MChDbifpkOcW
9HwfP5zp70WGp7Y9F/+Z1EtwqaQVdciGNWBDByoEAAABAElEQVS9/NLh99/4kYhYlmVziQoAscQf
VzmEAEARfEcYDimQhvCZNWJZUsuFrbv6buyvjfwI89rw+Pj4/v375Y8ndo1nZ84avS7nYiKee8eW
tRAZSXAnXJw4t39vvrmNAW/jwYsTayRz+1ROwj7Vl/fe7TVqP7Ss+GE05XV+9PR9or4AkECOibsA
AAAVkaZ6otTmAnQv5qYbLiaGXsUa22BD95pHDVZ5efb1k6l4Kiza80cik7kdvk1ux22Ss8qN9k4P
9n+6eRNSyrFVNmwQXF8ACIGJuwAAYA5G34TF6yhO2224vhJvwQt9ou/6Yt8to7F4NHXqXA2/cT5W
1atUree7t3vaMR5qXQAAAQBJREFUUmGfqhXNoiprtN2GtUCFZ/TRR18kxU305XJV6VWF4fZBH330
K9WPv1Qzf/zoV6Ff1k3YOsZfpdfR1e/XT14b1j9+tU+6yQWWJdbI18WZsrtniW07JSu0Whfq6Ue9
g8v5xKmWMZlfHvQ8E32Dn6YgzIamfL9m8EzTAwCAxmDiLgAAmEO7z0q+FFjIQUtsqIamxrgZ6all
nV4euF16B5f2obYRw1PbPg0qDU9t+6urVb/fd5c68H7qXyhCyDO4NtiwKXB9AXaLmAsLjpAAYAgc
jnYHyxKR0KenibRuT+iM12FHTFGtc9WpbTgY9CUwQzm4qFKt4WvxusRN0Jn9sAKo8MeQStcAAAEA
SURBVAzQcdp9Ex1aQES1SVlf7O8dzjY1KTMsCLuFfploVI1SqI46bsI2eNHf6v3YtZv+JdW/Iels
qOot+7qEurj6ZhXZmugKz563vlsHzewIDe6HBld4JuoL0EFwdwHAfHxXR1Rm6TC7dVYi5lacAjas
OmIdHI6vpdYC4zG0cD+McYndjyzLEu2ZUfpbS/vio3RwfQE6ApnMYBi+OUsAIeDudpjdcnd9tNDr
MI7UNkyTyeyK7da30ar90Io+ZLgf+Xxj3R9WLxKDyVR4Rh/9tuqnebBhiTWZW2cf9OvVf3hkOZws
VIt6moPzbrX6ycnm85MT9ykPoQvmwXj7oI/+Tujnq8mRNbMaAAABAElEQVRszvjL1C+v5nM37ZOG
dDZUT6CIN7Pz9N1cAWF9/Gdn931XXyn/UuqXT/VPPCpr/Inx3lLgub4AbcLoBxvCLjOTu9e2bV+f
j2U6Cvqw61+++PWpTOa2bdt3ZJp+QdgJiP22l5pvwraMNj5n1bSvqrANy7X90dGx7yZOyr8GWS2X
zqsW7Ycbgn6vuleuXtu2rd7q+c8x0WMJJjy7jvumynbJLatt/e7y11XbVlTXgn3iW3bTPmkymTf2
qXA8LqbZh/2nrJa89rkWERnfvd2T1epPn7ghIu88Wcuwp3r9/nq1+tR//PKf3xaZ3BmKrFaf+m9f
E/npHx17je/+1Z9Wq5V8nSoCjAAAAQBJREFU4oaIrNSCJlijPPuw/8S0RNb19S0VbDFq29O0dGn/
ib9+Xi7zbGmX7ONpWS77g4GIiGW5HkiL7OO2N/lrirXhcrnyVXgOZviuVqvlUixr262IfRq2Rr79
p6T9MI19RDuyhy6lXvum7MagZzuLNq1X+b36W90BjowhU+EZwDR2en4UtA9PoWbtjVbheX2xv3co
m1rOm3f3rvZCF2x0a6BGorJX2jArbedoXzkJo3ajNtZ8br5CsZcwGx4fH9+/f7/OUdS/xjKpbT/M
W+HZF78NTuv1+brBub7x+h89fZ+EZwAjIJMZOs/saq1erK9mjQ4EAJIhk7lM2pj5bBrdtOFiUyOW
gp8AAAEASURBVAWjWLmLlJhtQxXUjU9X9mU4+966toyJ5uL6AjRGvnIgAO2jd/vuWGT6aCEi64vX
p02PB8yGg15TcBO2Qsz2OtpBwIZVFJ2qkfXF/mg6Pr+2bXs+kenILf9YIQbvh/YG963vU72bb6lQ
hVCo8Iw++vXpV3oTvQP2Qb+7+r0vnP54ItORZVl7V/1J+StouX3QF4n1eFsx/pbqpzkrqQq61WGy
fcrUz+t1mDJ+E/S9NlRFp9T+WV3Rqarss378cCbju7f/tFrJ8NS27Yom/PjHX7b3W/X+Uy5EfQGq
xb2kUGUYfHATHdqP54ytvekdXNq2fTp0uv33U+du7OmdhAVhd+FFNZTPAAABAElEQVRIWANkMjeJ
wTG3OEwKlbbVhkEanPzTGRtmB9cXoHzIZAbwsvjeYLB5lu/6ycqpCA0A9UAms0HssNdRGhsb3j87
a3YghejdGmtVMOpmV/dDKjwDlAA1mQESWJxYI3eOL5WcQSRw5ORQWS7tq8lcLkZVeA7SiprPhv9E
m7BhqRWeI5+DUB8V2TBvheeq+ejp+/7n+gJASnB3ATIwPLXt06YHAdBlOCu1CfUULzHeRTeZ1tuw
d3A5v7JGI2sqIjKZ2/XfEm69DTNDwjNAOZDJDLvMW2+99cEHHzQ9CmgrHDZzQyZzi9nVjNMSOT46
cl611YbDU7cqsVsZo2Z2bD+kwjP6P8Wo1gAAAQBJREFU6OfUz+rrmjZ+9NEvUf/Xv/71a6+9Vp1+
Iui3Tj/TVZaB429Qv/5yEu2yT5v003kd5o7fBP3qPbd22yeNfjEbUuEZAAB2i1deeeWtt9567733
mh4IQAdJrMnsPtwF2seOxdyqYLVcOq/aacPQJ4DUzc7sh7i+AABQlGefffaVV1759re/3fRAADoC
mcw7xM54HRWCDYuzGzakwjMAAJTD5z//+VdeeeVLX/pS0wMBE/FVUdEvrrj6UOx6TeZyaV3ZHgNr
Phte4TlYb7l6G5Za4dnBrF21FBsaXOGZqC8AAJTDD37wg9dee+3jjz92Wz7++OOnT582OCQAk0nM
ZCa0uwwC2AsAAAEASURBVEOYH3OLSkIwB/NtGI0pQ26zDdOA6wsAAOUwHA57vd6DBw/clgcPHuD6
gk5Hr6YyQCYzRNJ1r6MOOmdD99lD9dE5G+pQ4Rl99NFHH/3S9L/zne/88Ic/dB909Prrr5erHwX6
7dLPekFl2vizUnVN5rbbB/0tYV5HC8ZvVIXqsj23dlUwDpJn/FkORu2yD1FfAAAojVu3bn3pS19S
Hq962C/P+4UdhExmyE+nY241gQ2Lo2zYOQPi+gIAQJncu3fvrbfeurq6Uk/61af+AnQYMpmhNPDc
ioMNy6JbBqTCMwAAFOWDDz548OBBr9fr9Xqf/OQnF4vFD3/4w/V6LSLz+Xywd59PAAABAElEQVQ4
HDY8PjAAVfLT/VfR9usOajKbi1llc3PR+O8k6i5OaM8mBplcb7lsG1ZX4TnUhGr4UZ/WQT4DGlzh
+Zn61woAAB3jxo0b4/H47//+76+urnwfKQcYoBvExz/a7mqBWbh3iTrgxjdF62xo2jhbZ8AkAq5v
phuYMXcC0EEHHXTQ2SWd50T+TeQ1ke+GKrd2u9CpSidGzbDtsiTugs+vZJqd0emGTkxMsNLxhI4k
h05F9jk6ytBZt6Fp37vewaMZEWOvejyhOm4MuqBOoy50YK6vbUf+BUnzkfa3Wi5L0Ynq7OgX1on6
aLVaYZ+Y8WCf+PFgn/jxYJ/48bTCPs/a9ndsDsJS/gAAAQBJREFU+5133rl165bbS831xT7sP+GY
ah9Ltn/xK0wzHvaf+PFgn4TxKIJeRD32ybFSn3519hFJtf/EbIUB+4+nQ/ywE3Wq+31Fk9k+jUKZ
KwAAKJPnnnvu3/7t3771rW+pt1R4hmDoxUAsajKDqayWS+dVUz8efb8P/YWYj9qENo7cEGJuwURg
prFxfQEAoGSeffbZ73znO77wL4BpuI7uYNAPfoq7CwaR3fGAcLIbMPT4sIt0YiekwjMAAFTFxx9/
/Od/fmXbn2t6INAklreqs0791x2ZpsJBiwmdHNt2Mk3KLWV1dqAse+gAGrJ25nrLuQyob1zlFZ69
lnRn1xq0O6exobWuSwoAAAEASURBVGWJbceMmQrPAADQQZ599lkR/F5oMkgQv2pTriYB0mB3rdxu
3ZhqwDaFUU21YUpIeAYAAIC6qfSSKWbWrpDJDK2mE0mnTYIBi9NmG+L6ZmC1WqGPPvroo48++qXo
p/c80+inLFIVulIz7YM++uH6ZTsekeMv6eaQcfZvr+eWa8CV2F+zYYn6VsxD5ixL/evitutL+d4G
6VTCs0ocZ9IyAADALsDEXdhRombPQ0panrVrBBsb9geDUmyY6PduVqvPhbZC38Y4g8mub6iK3qiP
Izgy1RI1LL1zmmUBAACg1RS5aGfiLoCD+iHV4LmF6rv1l9qLGd5vu+9glGpDnzPo4objz/dOAAAB
AElEQVQ2C+o7aokVnoOub6hHGup2xy8b5alHrTd5Y4j6AgAYBrfUIVgaNtNegbsLediFQ0+dBZ/j
S7S3pcJzkBQ2rKLCs6up2zW5wrOZe3XQhnkrPAfbff5gVMw16G+G6odUeHbTtfv9vquop1Pbtp3o
ecc4n8W99tBtDq5ObYjaCglsFy200EILLXW19FerlUnjoaWOlsGgv1xuv/cg8ToxVwrLJed3WmgR
EelrMbfVclntuiSS1WrVV/+aZp+SbOhuvWopaUs9Z0a3va+91lctJts5aEP/VniWUq/T5/b6/FDf
68yB0pRR35gIbXxKc45k6XjHPUrKHSRRXwAAczDzJjVU82aPyAAAAQBJREFUjf69p4n6EtqFktmd
Q09tsd/QCnLuRy2N+ipibUjUNxW6DcuI+qbJDg71BGP0P3r6flyFZ7dGli/268MXB07vedobXOc5
TUjZ1yGxkFeJaLd/0EcfffTRRx/9ZP2YNMn0jyDqsH3QR7+ofuF6xWnHn9fpaoH9C9uwCtyxFBxU
TfYvbMN4f9Pto3BDvjFvQ4krc5XGe24EfWDmjAoAAABicOvyRH0KAHlosGKTyXHITJhQ9Sreaczu
Uta9KUVqGAZ8utC3Qb8vfqkgeR5u5DrlobON9VXqEd00y+pvg8vqCj79NJsKAAAADRKTLwkAhTDB
c2s7ptqwmEdZK5bYtmxsKOfatDUAAAEASURBVAbZ0CV5ri8AAEBuDLuEgDpg4i40z24eeqqe96us
WrBoe3mUNtdXR7Ohu7k1zfUVzyOj/JNnvZ+m0W8kCUDcDZHI0TbldSbM9QUAAABIQ/zEXYWauAsA
VWHknNWWgQ1LxDwbBhKe409ZUZ1jPkIHHXTQQQcddDqnYyUlswVjGpWOBx100HFeu1m7lY4n2Kd+
+xwdpeqcdTwbG9qyydq1IiKuZW1XuGZYN0+YOGY8ahPsUuyzTWNOrePNfPbS6B3QQNTXtiP/gqT5
SPtbLZel6ER1dvQL60R9tFqtsE/MeLBP/HiwT/x4sE/8eLBP/HiwT/x4yrKPZYkltvqLH6nbP5Jf
sD2qAAABAElEQVQu2idqPOw/8ePBPvHjyWwfvaVc+8RTv31Eqtp/3Beu01vZ/hNOfLeoT72WUf+W
YJ/YzlH7j+c0kX4vqhgSngEAACCSmExm90pmuVwFr2fMy3QD2Bl8nhvkYGPDbcCzDPQvpPtfjnn7
YZ4KzwAAAJkYDPpN3+qFtMRfouT7Hvn2AerGrr5esd2e0sO58GTt7uRRrHvbTYVnAACoEKuhOpOQ
iZTubvrv0SfItw91w0FHkXJ+aXo12zt9tNGfeiUVnjWcnUjb3uJr1M+JfuOJZx6vz8y+T+P38LLO
vFl1nPRwNV7ZWC+YC02FZwAA6AChHtS2sdPxgdaRJpM5x8ysUEEAWA5HdwAAAQBJREFUaIaKMk53
6bbCds5qZYe2VObcJZtXB64vAACUDJ6Pmei+bry7CwDdodL5ll0/Xjg222zm/bOzCleWw5iGn27N
G16tru9qtUIfffTRR38H9aum7fapTj/G15Xy3N322gd99HdCP9b7zaCvHylSHzVaYJ8UZI39Vuv0
ZVKv2P9s1/UDZa4AAAA6RaYnTebT73qkB6Bz1FD1qvOks2FKA5sXEN0JSHgGAABoN4mZzOrhQ1zu
Auw0zPstzPHRkfMq1oY5Klx00orOc+BNKgBBhWcAACiNYDVIT3lRog3lUcUjiNKsNLHaJ7WdwQg4
2kRRbs3n6jRTUEOFZ4V73HPWGLu98UQNnP4AAAEASURBVGe98NrOdsjCwbWHLBaxn3uO1bl+C75K
1Jni2G6FZ99gtZ6NVXgm4RkAAKAdVJ3JDADdh8znYliWiPa8X9fHC9py07Nu6gyxJtyEVVYyaTfD
9QUAADCURkK7ANBx8H4LsDGYY0NbHBsGbbmJ01Zm4YbSiDOv1jLIAabCM/roo48++i2r0Bg877bd
Prp+FTWZu2Qf9NFHvwS0SSmtHH+N+lFU+rxfcybHKmJOTG4tCTN82wQocwUAALVg2pncJAaDfprH
7TZ4YcG3B9A1NgeU/mDQ7EDaiBPj1e4ghCY8B6e8pkSpmXDYr/TBePVDwjMAQMfJVKYC6oFMZgBo
nvZnPlv7b8oSAAABAElEQVSWiPTVa7UFodm15dbh8lgr2oYq4dmybDcp2jeYPARrZJVHieUknP7m
3TOlwjMAQMcp7vqmXzauwnN55S5aepHWanc3TbXPhMqlAHXS0sNEIxT3Cw2o8JzyTJdpvwit8Hx2
dj9EIaIys6qDpbu+UUHUUB39TLqt1Zx0kHWd/8QKz2mc6EzXD86q3e3VV+Bx/qnwDABQPVwL1Uzi
abXz38gu12Tu/AYCdIQSY78NFTSq+VTic4ndl5vPdC/Xtu3ygp9RNx2jPgoj5U3Yrk5ywfUFAIBy
6OqZMhOtDu3Gw/cL0Fnan/nsEuUJ+tpzb2hIGefNS7fms5riW2GF55i0580ahfJRDQAAAQBJREFU
9c+L3ITdLtv+fUOo8Iw++uijj36Mfty5NWXXWmjW/sVrMnd1/0EfffRbo19ZvK/q8fs8MnWwjSoZ
WO2ZSnvwkTMySbCnbctymWyfIqnowVJb5Rapivt+zXOVqfAMAACQmRh315CazHUyGPSbHgIAFKaL
2a6lbIorcnZ2Xz/4h/zJ1vu1xHb/ShhEikHG1JTetbNSFLi+AAAQQu7LhQ5dMnnwXd/44KoCALpA
27xfy/JETVVcN5iZ6x66Cx6ij46OfTc3g3+69+v+FVprNFvvOmINzgCKn5iS9oeovKeMK4mU8H2k
3lob3EZfS4gOFZ4BYHfoxESVzOSr8BysbBnU9HsbjukAAAEASURBVDXpN5vdypbbFv3cr9W6zDqq
gtWqM9HhibtZSbM/JJUdBaiR3Tzcl0XWis0N/fj1Cs9Z8ewgEXtLcLM8awwspR8J/e5uRIXn4JnU
/SB0UMlnpc2Z1zlW5322gn+cSTqeWs76w5zC9qVQr9PalgULins+CvZUgonO7EdP3yfqCwAAWUh5
XzdNcWcjIZMZAHadtsV+a8K1RtAs28DjpqG8JOeEchLVx5brIcpr9Tm0BYO1uL4AsBNw+i6BgBFT
WrUUR7GUZKoYZTKZAQC2tMH7TZ55G/Hnkmfj0i9T4LRhbSpkRZ6VxFL/5l5FK0j0e1V6sx4Qjsl2
luDDjdwiXf1+v3WavO7QAAABAElEQVQtbmNF6wquyJxtxz7YB/sktfTVvztpn3zb7ilctFqt+pt/
fcruUlEo/b63xauTZzx6n6z2iS/LpGaO8fvyLhjYH6L3sYg+RdZuun04Ppvcgn1y2ifsiUehOr7j
aW32OTo6Pj4+1lvU1N/BoL9cJh5/Es6MCViWZ6k0/SM8YSWyOStFFqmKOhqnIevR2JO9rE1mCdWR
aKOF7hubbyoyvdmHPpXX99a2baWgv5b4yPDLLx26Xe2KWS6X6KOPPvqN6KsjXHXHOZPtk2bbg/oi
zt92We2N3u5+6unvnMCdluVyuVUM6KTcCv94YscfoxD8S8Tk77ce/Xj7u+2ZrJoe8+2Dc8+FPgAA
AQBJREFUvnH62i7YyvGbo5/mJx17YK1u/EdHRz799Of6kLNbWB/fBqk1hthkc0bzGyDQFHMmynZu
ijrshp2Lk80RveGJOsr+nkV8lgks63qdiX5vKbjr/cOHv/VHfQEAoMPsVOUXilQBABQlLPZrFINB
v+pxBcv45cSyJHoOsCpS5dYSNDHT3MpZNMscqPAMAJ0i6tRcc2Vgo4ivzZu4lLus75TsqjmaYVUl
3Ra/olcn53hSdPOxg99+WUTuRWGXaNgZmmc3D/fVEV/zObz+UuX2V/WWLW854ZRnOt/5K3SB4HFv
W+HZ5wRGHQm9TzoI4l9t4DybvAE+uTIqPIecrsOe0RC5SA1Om/QAAAEASURBVOoKz755ubZtR83U
9X3kvtV1bO8q9M7qxUdP3/dGfTlMAABAEkVrhJQ4COecF9mLcxoAQAnEx35Li4q2jdgoqHLHgu2O
a1vW6SmN8ZuN1qbbPWIs4vvIfas7wHqBqxgpKjwDAEBVeM4+WU66yedxsS2xqclcP7t5fQsAIXE8
s4kaptte7nbE3YR1nz+0qclcQmXm9OH3lpA13htFfIdaXV+9FBj66KOPfp36VdN2++TQ95xZkk63
fn1f/9jF05zKl8tVpe6ugfY3Sr9q2m4f9NHviH6M9xt98C1r/CW6dWVJbW/CBqK7tvsIIq+Xu+25
GYTHPpoZM5zOGr3RW+n+mdXR6pqgAAABAElEQVTvTcQ711dktVwWHWMYqsh4FcoAADpRRxvVvoPH
on6/754m0ltAX8pdtj8Y6POIgp+ulkvXzupk77YoTd/lhjMfadNT/8jViRph6FJQEcH9wbW/2iuC
e0uNowMIQR2Rmh5FN+kPBuqFz8Jue+inxQmev+7fv398fKy36+f6mOsB/a17/vJ1Cz17xj8YT9d0
RLw2cY+Wrj8caqX0e6/bU1+Ru6x7Lo5ZV4im94Cvn9NjdFzL+OypXge3SH/EkUvQs03MC9cTnkMV
dJGPnr7vfbhR9uLXKVHCHS/+jj766Bugvy3En669LEy2j/8RBen0/U9MCDw4wa/pnF02Lzcfe47/
YdVlgwAAAQBJREFUXlG/cth6g38+/eL2SQP6mfeHUjHfPugbp8/xoVJ9/TcfbKzm+Bw8tqhHDbnt
ccei6LNMuHRYz/BTUsSRMGpl/qOoSIh90h9GfRsf2NLQbyRxJZFn+ejvN9KeYScG2byN8lGDTm/o
W7cx+MLXWfGHD3/rj/pWFDGnfhYA1ENUdUcqPItks0BolE+P+vrVfJWfN/39fTyiyQ9viChgmbNq
JeQmcX9w2nf1VwbGwY5YNcHKvRWXeg9+pb4Kz2GPEQg5/UcezbzrisLpGOgReWb0LuwxW1Td7Eyn
an3jA1saU5k5ZiWRlvRuS+giW5vrq/GuLLTCs70ddkj8NuqtrmNHpIj1SpUAAAEASURBVEO7yh89
fZ8yVwDQcdpc9KGzuPOjQnHun1OnCgDAWKI8XjMIHVTMSFXRRPfPh3tWOjo69jRpr/OcsIw8yeX4
PkvZBawN7lvfp6FvYxYJBdcXAABSk3ReiTmPq0Ig6s+/lKp7SVnmNsAXBAAOQe+3+gNENi8rRe/Q
s1KQqrYsGLBugtD1pz0jNz34TFDhGX300W+xvjnHWzPt06S+vY3rht9EF2szO6qEb7F99umWvmjX
hVVcILbdPuij31n9FLHfeirMJ2Zbu+ejKGq4CRt30ZLvgqblNyMjZxuXir5Gor4AAJCNhNBu9OWF
/mzDNPh8ZmLCTZHykoxvB2AXSffLr/TCnzPvAAABAElEQVRWdVwmc8TDh1zssEcQlUYK42xLHzdy
O19baSXrN+zEUKvrm7IgOABAIubEe3eF6LOXMzkqbO6uOz9KPXe3fEIDylAbGB8ApMl5v1HnHecm
bGwmc+lnpXDBNKspbsAqPUzDvNdC1FrhmWJ7AFAW6Ss56y07eBSKuixIv2CwTmbaiwmt5nOUaFSt
Zvf7ihy5LxwMVRJS7VOLkLh1TQEMYgcP9/8/e+8bIseV3/3+6rIvFMjDyhCIlLxwN+LeHYWe7OjF
Yjt5wN0RN+5GEMsXcS2zEEmZhtXYLyTx9ERWeLiW74uslems5Rf2aNmZjEReSA7ikRwQ0w6Ibgcu
tlmCFLq59xghWwAAAQBJREFUmuUiurwmq3mxoPEmYOXNrefF6a4+VXWq6lR1/Tmn6vvBq50+depb
p351qur86pzzO7njN2F0unHOC+J9j7/55pvr6x+F7sjeX4IwE97YxY4oxE6F6RE/+uijWQ5R80Jw
pnYcJmc8fMEZBm0Ow68kPjOx+Te761TERfB7MXvi/IdebDvCc8b8Zu/r72R/VAAAAHlixFkWiC0c
QOxfDzKvulnWgMibaKrqhWWRYfhdUgAASA/DICJfv9f5kS7TN0v89xgepumj9lxfXH4AEgW3VMmR
fx/zVSUg8CNiMgMAAJgR9j6Ysx0SEDrRW4RIA42zJOi9qdLQ8UKitusbEaUj4Io/Bw8AAAEASURB
VEEf+tDPVT9tdLcP0/db0pAxiX4pHaTKqx+b0CMWw/766qeN7vaBPvShH5uAF9NslV0noa8Mpb7Y
uu2TnvebSHQMf9spZVU/CuX6AgBKQrxHd0m+aPLInDJ7FS4u1nw93vm6duPNVwIAAFBObF/Xz1Pz
eysVZxQS+n5TQ7m5vohKAABInMI/yqNi+C+my8fGTJeUx8UBAADQheAHvv1iSn0ybIyoE1EyRyi/
nRWuUaIoF+HZHQsUFxuA5CjGLSWIPOzc6o3wzFMAC8gj+Yr12kQcZjL4Ue53MbwprviT5DxYcBzO
kCKC5BGF8+TicnvjeAOgAqiU2ePnm1oWSbydPXtEOiP0AAABAElEQVT4yvtFeA6OmRwUXVnUUJCN
8CwD13CJVjF9oy37ZA6O8OyUckV49uJ7TEP81nZEzFY1wjMGPAMASkYic110IPQjut+YMaXMEylg
CcgO5/XA1QEATB4E/i8VPkiV0EGOML8m7osqqYeVYQjWCvLmmfd9mtPI5+IMHfeg3IBnAACYE6U8
t4wJdXfzWuyhbJSiw8mvmQsAAFMmfa2BU2zyx38gsl//s0xKMmen4Mhn3ly6Nbk8vb4694coHqEO
+tCHfo76aZOXfULDgfji3EGV68sVKdIrXpXyQx/60Id+6fUNsuz/vFvTWBgv1V5Kr31CJ/fMqe8m
8b5ffx1FnOv0wIBnZ3K2qAAAAQBJREFUAADQDMnQl1q8wGQKqcWJAABAaQn+CDscjiwy2H95lM5N
su+UAL83yf7EpL3flDo61X9fw/UFAJQF9Z/IAbDFh0LnR2l5jvEKrcOpztO2UGEAlgplAACoSchH
2KmvO3lUT5/Yini/yWIbwRtPKsmQ1JLeb/SX4/wl1Kj54YnwzEi6+IjwDIAKFOOWCo3wbG8l5wPd
HZk27tGzsWEir7ag2Lz+QiExseeP8Bx2SHesSD8ihb7MCv59N09tmV9hflzhWvl2l0omB0AEqmkK
yMZkFgVHdrx94rpnrhjCdoRnmVjE9pslNCcf4dmV347wHPB+cz29XSc+b8UMePF5pH0jPLOjO3UA
AAEASURBVHMxmcm5qoLseye4oYAIzwAAkCJF6Zwq0kjmeSjDOWoNrg4AJSF4JHPkt1Kio3Z5DT7o
UnDwi0TaC8I+XhfMh0z+C0xOMZ99SfT0DP+TYpuMKX57ebe6QIRnEBP+Zua/wOVaKACcGIb6cYxl
P6LriPYnAAAApSOBMUeeCMB2vyLrEJ2kJ/eO4PsqE1A1QtZBEB7CTvT+kTDSMZ8jFSD3N3ao30tE
dl+x3W/s8nvtRL9e5UL1+moXAa9g+mmju32gn69+2siXP95H9DntYwv6vdsSsH/ga1NWP+67V4P6
GdicTK/87LAa2Af60Id+fvqSb6U5vaOpRxm/3zLFnk7/c1OTLyNbAAABAElEQVTx+ibV96tI1zER
cW6ti+DR0VEHTivq+qp0IQAA2pPIt8x5nkuajmRWsEhAnqg1Fm9eAMoD/1ZaXKy5tmb3VkroueMa
iuhVNchK5HTW1z9yfb+W+i+NAWixvV+tnvVev5cNaY49VVg84Hk0GtUWF5lN7U8RtVrN3hojZaYc
spc7v/yx4u2lVIqEfeKn2KSgDPsokSJzf83yGMZoONTTPp6nivPc+XTXuSdRV2tCO3vt421M2AyH
2VnMTneleMs8Go0WF2v820RcozxnOn/9qfnksayQ8wpVTjBF5vnDFy+gtsjYJ6m6OqeOt42E53O8
FNgnOAX2CU5JxD4BbyUisqzEBfh5DAAAAQBJREFUnj8hGAYRjYbD2uLi5Ke0x2Gnu440HI4Mo8ac
W7YX++k57OQP4VtYWHq+Fo1Go5WVj958882olp+cqUdz3msqZ8PQqzIcjhYXZd9Ws2thWWQYI3db
iyisncD+ZgOVZTxYe0gz83hDhzSHqPlGeHaFJ5sPeTFHTswdVRjM9dURxyXS9noJwgpy5zKLfUiz
+UWOR1rcCM+hz7EE5kclzcwaYbE37S2WKKKvWzT2yfjtyxtXXl9QFfLEexLz3HHzv4RjmNOvpcjI
28AAREHbd1yy5BZOwhWIiI8hzL+FQ943Yj1rGpd4ZeXN9fWPbCVew/7peu8H1QtRmV2Z7QjP0eBO
MygbdMgAAAEASURBVPmK6f9On2XgX+0sjYvw7CpVhBL6vWbCJPwcVz7dlSfgp3eKr5/+b/a+zi7M
lXzvulb98ADoR1naA5ZFhuF52ieMgu5uOGkbJfjQhcaQCPsZU7fopgMAJILKbyXBy8eSjdjkgFOx
BSK60gUix3d6otgxnAO6c4Xxruy9LMsK7UxGhGcAQHHI5uGf20d0rgDpHSjPF2ixmirzW7IQjRkA
QOqo7O6GI+H9yp+gV8CxlH0Ua+jkUcb7guAvlgsuf1X40+vTBu/lJb8wVynUJu+kDuhnqZ82utsH
+vnquxHGwQjLK9yDTS4aDkepvi1i2Efq/KbnVrTrmzRzlV/iSuhuf+jhP1eyAAABAElEQVRDH/oZ
6xvJxWTO5/nMF50fa+vJFYoe19f/SiSsL9e2Uf2DSGqg1xcAAASEfGOmJKMhAMCTRj+DHboSAKAp
enfthhK939KyyDA+Wl8nV/BLb8bJ/4dNiU2RjI8ntKFOvdgpoujiRgAAIEty44+DP6K7/s0FmddW
WtNNQTxwPQAAcTGmiw8FjDmS7NrVAIl+S9eZrqy8aY+68v2PjMl/MubS2pT8ueGl40N2EZ5t4VmS
OLQXl1Pi6I5iogcmQwSx4GB/5SnG/eKOOuuM3DhLd9bP2b/ch9/gpfaEAQsd1svchjKHFYVy9OT3
2ZxbRN94wSVzK64Yv7Zp1LgrgtOKVdOiLg4aYwAAAQBJREFU3u/e2qWYgQGIQlHecTw6nZDn8SF8
CwtOyfnA9D6F+GeaVLxl+Sew6/UpisYcM8Izp59FxXSdsn1IZyOJt2TMUvk1SsLk5lmYdx4yivCM
7w4AAHWI5O6691XpaaZtu6586D/MDDUNgPQo+EjmqCQascmtmVJ+1UjDhkUBc30BAEXBMMjHrQ0O
UlU8tH5lp0i2jQBB28mItaZ02OVM6bRQiwBID7i7QfCeW+DX6rSOXgAcNvTZVEow1zcCekSQy08/
bXS3D/TT1ReFhRTO2iVyzPxJiszsk9ILS6Hrm3mzozgRRPNDd/tAH/oZ6AeHkwiYiapI+RND5iE/
zeNamkhIenhri74AAAEASURBVOVnpdDV/sXw4ZPGx/VN82NAiT80AJAnhY+2EzySeRYGQ+I9CoB2
uG7twt/vAKgP7+sGu7tAQBTvF4hB1CsPavX6JnhdcIkBKAkGWew/V3rwR/Roh4iwBnDmhJUs3umj
NaYF6lZLAMpKgK9LcHejUkTvN+tLL+f9lqdC+kR4ZiQU59kVczUg2qQ7OmvUiJRcfr9dMd87KQQB
WWFctYlxfymITFs/5LTchoh80HwjPNtl8LvvpKLyhkV4zrpqxLZkpKvpcxSZJ5hMAX0jkbo2S7zX
HDpcDHNhqYSVUXy/S5yjTyjQ4CIDoB4ZPp8DXkzlvXc80ZLdW4Xp3K6zv6d+r0HgrW1VAAABAElE
QVRWzAjPku9rQdPWzfwRnmPuOw/BL6d5ShXX3Sp4hGcV0bPRXwBg+LzQuncoPByIMXsvZlcgrW3q
Il74JX1I482eNVGukTi8FgAgIRCkKkuY50qT74BpGrfAVy6l0FYaWizQ9dW0eadKOwUAEB/J3l3t
nk9AKWK+LjR9y0S5W3Lr/wdAVeDuxsE7hsSF3Ec92/slI4+Yz8UgIOZzmQic65vCfRxa+d2/VZpj
p2uEt6z000Z3+0A/mLTDgcQuv+AJJCqEfvbPtqWWxfMn/feFpHwM0wojeGc/ITB2u0i/+g996Esg
+VYaDhUtvyL6yeA/71d3+2Rn/3TeKHrUnylqhblyjjimewAAAQBJREFUgA9oABSdGOFAlPkUBkA4
GbzHpO4IvE8BkCPtj7BgLhKZnlo+RsOhILWszamyzvUFmYPHFGCkGg5Eagh0IcZJ638GTlJ7OqT4
5ElBOvHLWojKDkC6YCSzTvCjdrW7NooUWGsbzk1ghGcXXusETAbiHiSCRUdc8SoNw5uND13j1mYj
/i2LvBGepzu7ryYXBcc9UiLuebkpmQ6Ls2cnBFyvSR4+Ll8K5YFOcGb3/RW6TkBy5YnQqpA4L8dw
UFahvPd+wNm55h0FxJ8kIsMQxs1y6DufY346IeURZpYoz6wkwfaRKw8vrs19GubYzV4RrhjOzvvC
sdWp6Q6i7IqWzL1c+MY8ZSwAAAEASURBVFJL1UPPeQnegwHnyN1cjvegX3oA0/epTEmVuO7QgU6o
jud+53WC9vY8V5MpT5l1Qr/AOfPPnp/Op5lX6s2VlY/W16XK43IM4tYfd4Rnpewso+N8c6VVHp/3
qZ1NvQjPnpe66O0X+PXCUb3CCjKxTlgGXtDv0N7LSa7qK7oBgg8nualsOsLrFaDjza/meSmm4+N7
pX+9ImX2bJrdhZKN6RjlYfnTPi8/ffsMjemHvGzqj+FN8X+aydgnYotEdlNmOqGvcMPHDvL3ha0Q
oOORsiwi170r8z4NrW8+tprZQNKYEtmEr9MIhwjNDB3oZKtjGL5NTacY2oeZ6MT7Hud0Rz/P6Ogf
AAABAElEQVRaXw8/qOxXPf8MWts5IGck/zbt8mQFBjwDAJIhqUeoyqh+IoZBwm7DKKh+jtIEf+HM
E/tzSRIy3qSMlvgCQHkijDkC6hHyYdb23NR91itPKW2Ya5grQ6HozTLoHuFN5QhsMhVBd/sUUt9I
LhxIIe2jkT6l3BBU+fkzP/O/ynK3z5ynoHv9h35h9P1eSYyoLyZJNLJPLvpp4ewBTg/d7R+kn4QN
9ao/qbu+3pFoibeuZC+WVm42AGpiKBb9ct4D6fYBDgAh3hthnlsjy1sYgPkJfSsNhyPU6kLy5srK
5C+8yuenHDbEgGcQgTINiAAzpg/DmnArqkSelONFNSd+RnKkNQIWVwAAAQBJREFU+2RSzsASg6WD
J3BFAnc3UBOpkcxosWjEPNNASjlqd178omaUwIY+EZ4tT5grVzrbWcI+4vgjfCqn5s7pE9jDN2jf
tMxsppPljHjJ/nWkgIi4LO/+O9Cq3EUIUQY8SVnGfX8JYxT753fsm+uVEj08uA3e6O6hKm4huYzS
Cnb2gPovT8h1dIaAlj0W9xjV8k70uRaCWI3O03PUJRI3vAy3gd3vlMAiSJVTKotog6Bs5LgLHKcb
dnTfOwsANYg8cVfLx1lBEV4LYR89l93HCXAwi7cckDupF7DriJritYOdImPx2Edxb1ctwnPaJPhR
GgCQBNqHA8n+qYLnmM4ofunkPphvFLoAAAEASURBVN+EZHKIuKrrPH0sAGSFsh9hQQIk+w4tU79l
wtjmKocNizzgWfGWDQC5YI8EIzsSrNRiD8CJItbxaTooUrrckRnSLNjBpy938tNuGUQlg28lwYfA
xxqgPNp/hAVzMh27FOdZ5ee5od7IUwLvN9cIz9mQ3Ju+yBHedEB3+yiiP4kFQpZ3BRQ+SJX3iadI
+QugH++ZhPs3UwI+KITNs43XWohtH8kjqlP/oQ99F4Z/kCpKKHqi1vYpgH7azMrvnQ+ZrH46qKUf
3YaJRmj3PSi/yfW3/dPg8NMpkOuLj9n6g2uYBn7tCYZFxvytCiADqndGBNd4z9a5Kn/wsbKF98wj
n5Hu6m2EAAABAElEQVQyZwFKQoC7G/wRFujIaDjM7mDpeL/lIicbxvN7LcuyLMtOtKb4Sano+so/
7KIOjMFdAEpC+Ed0Mth/mRdNaYLHiha5EVbkc4tJ9mGf8nlDJfghAAB/jMCF8ezFh1D9AE/M+gDv
NwBJm+ZxK/r5q66YWHPGx/JEeLZjoLnCq02P5oppGXr08HiVnllVAXlcxxXE52QZ+AjPdtxOLvJz
gYewpwpvNsHfgVYNDrCXaPi9QiFvE8kpftO5vrqGcw0quMFFcZdXIQp4poXEO5QOh8hnnKeeC3Sc
SbOnXCTRqZyW96DP20pwke0xUcI42CJLcgkim3uOFWI9YfWdGj2kbnvF+ZzH2AAAAQBJREFU4l1r
L7FrDgCB5DxxV8vHWckIfLLJtAyD4i27nssJ1QftIzxHwogbEDHM2n4Rnr3pdgq/yfU3Tf1hvu9X
eFxBhOfRaFSb/usHN6S75kqp1dwprrVAR6ORnWeeFJL4lDMajSyrRoY4d0CZkeKfUuOvRbyaEKAs
o4MUO2VxMeA2peHQvZe9b0CKCucVnOJllsebElmn5rWP+FiRbejOH1pCyTILt8W4pjVnOVW77kEp
IgvwDIejgJtFWH9qgjyOZ5RfyKhgy4vzS9yVoecof5X9yhBJBylI8UsJuNdYWzRSywEpxU6Re7KJ
W57hKcNhbXGRiMgwRsOh60k7z1no1WqaJ/W6CscAAAEASURBVGXywzDIsuK9l8XXvVYjp8saDD+V
N9gxFvrGbrWYvb7S/QPJ9PpyG+wPEO6Nol5fl8gk3Wf9RhAKen2zx2WT2B/R5UdVKA56fd06znNB
r+8kTdRn6+r19e1Zlen1dQ6liNPr65T2fVf67TjntfaUAb2+IB45d+0GoOXjrGSk2uvrPQR6fWMQ
r62YRK+vK49wk7BPOED/N3tfKzDX14gSJiR4TGd6xyUix6fKVNBdP210t09sfUMuHIjdzcvv6Ppj
HrK3TyLFDtAPJVIBsreP+5lnKe266P78SYZEL48VZWKkss836OuoH/BWolgxmQtmH+hH0PfUkhiP
yUj6MSiy/UOsZdRrAAABAElEQVThu7nS0OdgvbsBwa682ViAK94B5n8KSWJd37y/q/l1TkfYAQCV
SPYjuvaVnXvCyJzL/E+jvB9p86J14ZPF72EvbyKZ18X8t5iUQnpvLu2fESALEux6ACBT7Ien7m/3
vMjKgC5/1e9nQDaZ4dMSrq/ujiJXft1PRRGSrfl4EDHUHTOWHLjW6oMLROS+GzO2CS4BUATnfeCe
lYmKCnQCDsCcFOjzgcRcX+eMJsGssLAZnjyCeYbTDVJzfZ3zr1yFcs28Es5p9Ob0Kznw4q0OfHq8
ub7e6laA+0oSmY/oc84LFY6JcB8+K2tHPRdvfQifeSt5AB+juOqhOA6wUCfsuN6Hd7oBewAAAQBJ
REFUaAzEU5bml5aZUKUyPhVd/GyZbhXr8L+cc1/d7xTuiK6ZaeGldZZTtqYJ38VR4ffysRgoM4X6
CIsKrT72NTK4QD7Cp7cPEWbeJtTmKd1cXx55G4bdfcFjktPDE+GZLwT72+umKMmsmPiukzF4tUQh
fqtCd+fES5HOJQVgnmSJYcxkB0UnQ0pHmsqiypUTjGQG+eN8uAldkMTA+zU2hej7jT/XV3EHU9sr
AopGvh/RFb9Pi4P9xRpkTxnMbp8jPu+CuSlU1y4A8hTCc8sZ/W0oivCsz5lEKGkSJ6V0BLas9NNo
dElqamEfhiEXkznZW001+0StKqqVXwV4G/qWX5MntmG2LlYAAAEASURBVE72z8mkqR5WbP/kDqn7
/Vt4/YC3EknEZM69/NCHfjL6fjM+ktKPhWb6Hhvq9H4Xu76h8NUl1c/PmjTpAOBbFX7u7nA4ijcR
VZLFxdDF4QEoPXFfK97FwwBQnFw+wgKgOrG8X+BAZxtmt66vJVp3dB41APJlzo/o2aNUYdTC7yoS
UbDdFDGoIsVQkixtE+dYGrYbgLLIfITFiwAoRF51UWfPTRW0taEzwrNfFRSd1SSmJYXMcPMNBiaK
LSnI6QppOo2EKY785hcKiEuXivMJfBCExXVZNXpNEIQs1WT+gMAaySnzj5SZTcIsHByWzvceTMfa
fjei72Y/BS5nSJHla44lg800AAABAElEQVTP5wqHmbmnjayURP0PyzjL773gQYeaJxBaYYKoiWKE
ujMEnKngYeR/IMsRbzmC8QLep/IKc15rr04Brn5ZwcRdX1Cr9cLnWRR8GaNFeA5ogEpT6gjPXgIa
94FWVSbCcyjcy97KO9YGHmggX1AD0yC7tkq+jzAj5KOhKy8qmxS5v5bikt319TsSaphWBFRzXEkA
ZLG0j9iUPxraMH6EZwdRmnEBAjHQxM4AREbPNjzIlXkeiEV6mFpROlHzRVt3HWQJunZBWci4Nmvo
uSmHbjbMbq4veSOARTVQ3u0DzSKwZa4fQCKXTnf7ZGn/NO4V3e2jVwRCL7rbRw99/7cSIiRDv264
KQAAAQBJREFUP2P9SOEkFCw/9KEfTd/ncSrzlJ2r/BJzVpWwj8r6w+Hkr7w9NRliub4p+PTWdPVq
Hb4XgCk6VHFQInR4fKhYRhXLpDYei0UzoVIGV6owpQcxmQHIAQnvF4Sgjw0TGvAMSkDalVn5m0Vj
lBpTqcSIGFEJ7AE73P8lQGwldS4ZCCL72pz//QMSAyOZAVAC3UbtqghvQ4WJGOHZGQ3SMKYRnu2t
gbsGK4srm/DLpx8SEZ7ligUECC7FNL63MBIvn+KITOuMCu6OfBsWM7wMCKIBS0d4doWetRXE0W5n
B4hcQskYxX4l9JPwBqB1PXPiFtmniPwvPno8GXyKrEjgM9DOMgu+ivwAAAEASURBVHtyBl5NR34r
7FB4WzPiVU0+Pe2Ix57o0AnEagZaAXc3I3CPZMJg1Wh0O31rrR6Yg5xZXHuZm61qu0dENMs3S2tu
jLeXK0LtuSI8C/Mw/HMiwnMIcg21HCM8zz3XN+1y47EFQBhqf1/TBsfDZhonScEnkJqlAlmDSqAV
GMkMioi52TIa3bA8V7ruFNdeg9Vqu0edvmX1O9RttDZN5vfSxtiy+h3qtVc2zaTLLiTuqF2/Ofl+
6UVG+ZHPWg14VmrUJvAj7ndWXN7CIKwCUS+uN3/hqwe6KHImr8iioIigaxcUHdaZG5rrw0lvbsBe
9TXLWiMiInOhSdTbMU263aPmxtEuIjQ0AAABAElEQVQKUcXemA3RRz7zI7P4PfzSi4/ao8ele31F
RY96OipGWI3yQUb7CGzp6GfWeNPUPpnpp423/DEufcAuZbS/Sh+Edbe/Nvo+L05tyg99fyLFZE4W
LewD/cLpd/rWeKMZkMHcvNLtbGz8sexe5k6PqHOsbu70iGqHKpLlSNg+nn5LVe2vg74yjRybTBc3
AkUmoHKrV+/1JnF7quGALS7W7L8VKA4AAIQjOZJ5OFTv0xsAc1FfC5jfyxh82KaNt45K7jWb/2s+
HhE16V7LMAzDMFYHiRQ4CsqP2tUAVW0I1xfMyzxDW31zquGMqYIOEfOC0bnsOWPYEadhxKSQ6XRT
b4wWUhcR/wAAAQBJREFUUATe1w12dwEoN4PVRrd54mhFNn99zbL61DCM1oc7RNTr0kWLm/6bNap6
bjqhpA0zdX1rtVp4JoVJu/wq66tQaVW2T3b6+V2JJO2Tx1no/vxJGz3qf6h+ag5HQewD/Vj6849k
LrZ9oA99L+bmlS51Li5XiOi/SO9VP9Yh6rHxs51jdTtlxwzaKy37TG/p2uJipP2itnF0vL6y+up5
v1qFuQLqE1izEdUlJnMYTvueh1LWGNciRlI20P5KA6AWAfcd7jYAwjDv3+4R9RrGNKZVt2FQ0BJI
PLUTJ6jXC8+XARIRm+wsru1+6aVDsda/XK8vu2j8v2riVzZvuspnAYCQEr/EWXoAAAEASURBVFRa
35HdXFIqIwlzt61KbwWQBXyVy736ASLCSGYAEsDcbLHJuZXlbWsCi2nlv/Qv24eNaR7c6xJ1ji0f
PdGk7r3BNKW5UHHvxd+krntWPEDDsmLOHJLot3Q9Gey/8cSYoJIhEh3w7KlTrkqScwSzuY1e5Ahs
EcmlDmtkn3n053eCUnKjQsrvd1RlnDoVIzyrhCL1H/rQz1I/s5jMmtoH+tBPhH8P3FpZ3u53qNeu
GobR6DY3xmt1ltZtTFO2lyuOXVyO7nA4cvXOejsa/dJlGA2HggMnh+7XV6/2VREHPCvzXaFcCB8z
ADiZ3J126CYKu2EVGycDANAdjGQGIDkqy9sYEtq3AAABAElEQVTWsu/PSdq14QvO6aDubHXB4r2i
tCk5NA2mh/xofd1Y/yieAFABBSI8oy4AHtQHSXJyCCUPWyJ3NV6NRT0HICtkRjKzXiMAAPBl+oyw
yOCHhEj+B2Qw/JuP9ia25BWfHvBToHPhXPsnV3/GslryV4af7e06ACfiCtbiq2MYbAh+aJ6AWeaR
CS9cdMHiVm3fi8xfO7tSkkVEFnEVkaWwC0izvj5vOB9ep8D2DEDYMpvVfzuJq2+ujaIsourpf+cG
F098O3I1wXEBp+mOg4juPr8Bh7xcwjeZ52Qc5yV/sMAa63tdPBvsAwruCzKIu49AihT6SV4egr++
4QqXAtzLhYZdmdbavAAAAQBJREFU3jfffHN9/SP71cm3TFzX3y89zoEZqF0BhFlZ6HUyl1Xojdqb
7B3ZHy4d11avzm/2vs57wDPqTWmZPDvQlM+IzIycVH9vLiOdFa+KGP0NQAAYyQwA8JLwNxDXrGKQ
HMyV9abbXm4iR1FgwDMAIBfiPrLtZ77jd0DWsuLt78VbEoBkCR3JjPsOgOLBt0OYK2r7oa6fNn7p
cfAb9wpSIHRUcugIZxfuXl87SJc9H12YUmP/shRRT8R0r5onRaQcmKc2/TdUx06UOQsvo9Gotrg4
Gg799vIeSP4sVEjxnkgkHT9GoxF/oYloOGR1Q7aLiithzZWukX1CU0LqT61GPmOQhdf3SXcAAAEA
SURBVHdBzWkf7xBZdl2CbehFxj7CvWqimiDOWavxDw2+hL448/uVMGqKw6qWZeexrJorJZ4NiWr8
dbHP1LIcV5Nh8KG/yCKi4XBERKMR2VaVuabKppAC95fKKbCPpH1kRjKzvUajMtoH9Qf2KYN9hsNJ
yptv0mhkB2Ce5LHfnvw7l98rAftwfb/s8ErZJ+MUgX2m6cK9pg9z3+HNLvhZvt6twSOcBVw412bL
brGdZXFlJpr95588HA4D1HyPzzbw//rgq+8n6y3zPPqRDBhDPyLe4syjz1vLocxfO6E9WSueuAvI
CYnNL6pLc5ZfBhX0g+3s3exKcNhZpkr63LkB5ReUkDuNeb/XAAABAElEQVSYeyt3lQVn5EzyOwuX
fmyCnz9z4XPZfK+maLPXYo4Cclc8JVSo/0ro+5hYm/IXUV/4oJN+dEmhtX2gL4arHFqWX2l9tlYv
EVFzY2yn9juO3/0OEXX6Tn07UbDXTLXT538Rl+pkZWUlVvmjEdR+SOIxpN71nVs/zCZ+Xief7spj
e7nyP7188/SXcQc8F2/8UEEHLShyWpL1pXjVCsTAHqBYqvpQqpPNmMGqYRirg7AckyyWReZmi42g
4vf6+d8aM1qb5nQvPgUkh+RIZtw4AGSOudmqtmljbFn9DvXaK9Onn/l4RM0TRyuTPEaj691RkDjd
y9xcafcmPm+30dqk5e2pRr1JQwAAAQBJREFUw8K84M6xurso6+sfGQYtLtZcgdxD/0sGjHxOFNap
Gzx62bIs9tK1/duAn2Ji9vp6nHThlw/Z77LBvRnRurGkCegsiy2oEskazPcrO3/tvJu5lFl5vD1d
fgcrH8F29m72q8KyVz9614mghNODCUoS0FfpOa5vQbiTSaVSzC/qc9l8r6bPZttigvxlvSPmxu42
8PYWePJMsow3mlyXw7QHw/HDJwXMg/edHP35BAAH6k1K+D77+p3Jc7TfmfkZ9rNXmMjtxcm6jjBx
fLl91ALPKS9h1pjL65yDOXp9AUgCfLCPhtNeia/PBdQFFzgOg1Wj2u6F5vrQkce8f7tHzYUKUc6m
zvgAAAEASURBVOXoiSb1bt83p6lUO1Rx5nOkgMgEd8KgaxcAFTF3xM++wb3urGO20xcPWPYk2ntx
spVDNaLejjnJ8WG7R82Nt+pJnkSSoO9XK+D6AgDmIKEHPd4XIB2EzS8ec/NKt7PBZRE3v8ydHhF1
G7Nh0N4UIAVGMgOgNebjEVGT7rVc00LMxyP21ZCovmat1d37CRNne5mPR65No8cmEfON7XHUqgLv
Vx8ydX35UGARkH4BxtSXgNXk9PQZuuuLcV6+aK0ZZ+NId/ukpB9g0mTbjkHl5y6T46AqtV59y597
IT0FyKVEmtb/QH1xS8vB4MM2bbx1dJYgbn6xttfG2LKsfoe6jdbzglCPAAABAElEQVTmpifFTLz8
SZKjfvAUO0lft8D2gT70NdTvdemi8+ln3r/d83NQ/fWD9mLIeL5K2GcO71eJ8iusnywpuL5Jzh9P
k9zbuwAA0ueJkQZ4CuXMYLXRlepMqK8Nh8Pt5QoR1Y91iHq36S3Lshwp981Uy6oXGMkMQFGpHKrR
NOQUe/rZQ2OizwCZ7cVkeWqHKpr0+U5B368OJOT64vUFGNFrAuqOFCIzKWE6rhBoyAK9MDevdKlz
cbnCJ/o0v0A4GMkMQCmoLAgmkTgm+krj2YsNcmZjqmfDoDV6CsP7VZ5MBzzbyxm7SehN6KsvSVg1
nVc/DN31oxH9outunzT0vVZMr1kZ7PEqLwAAAQBJREFUVH4dGrNq1X/10LH+z6fP4lR1G4YxCYbV
bdiz1tzNLxXLn78+7+suLrr1k/V1dbQP9KFfTP3K0RNN6t4b0LRPdqHCT/SNoO/Yq/7WRpP1ILNg
gyeOViZBFfyFY5U/OtH0o3u/apVfPf1kQZgrEfhU408W3+x18KMAAHrCFu1dHVDFs2Zk31qri5tf
g1V76d7BvS5R5+KhD90pzt7jooKRzACUnsrydr/TbRiG0eg2N8bby5XwKbsiXHvZstV2r9Pf1vmR
ir5fhflOBsdI5hWo5IvUMNQsl4rAUOmRi20ty/eRPlnkN3qpgnaZrAIXWVMzpmYt/pmqS2V5u79j
NIwuEX6jRkUAAAEASURBVHX6FpvOuzbeGFXbVaNNRM2N8Vq9Qu6UPMucLgGNN1RUAEpJfc2y1mY/
K8vb1rI7T2iiN4NLVpCgDXYjCa6CYugQ4Rn6yutHu6njPgL0tU+S+vk9QPWK4OdF9/KnjR71P44+
6921XVPXT2FafW3SHTxL+o8XpmmT4FZ8r3EC3RNK2T9GTGalyg996EMf+vnrS/f9Klp+ZfSTJYte
X0n0/SaCDzqgJGDkTjzwfADqE3x3ow4DAEBk0PerHmm6voZBlPRlzqDehLbuUX15gk0BQ8UlxHIB
o41ldgfpE/6ZQI3lfEGZwUhmAABIF3i/imFcONf+ydWfEZFhGNY8l8T1CrVva1WbAAABAElEQVQs
MgyD1J6eJ/3aZ9V1Umm5uuuXrgKOsiWhxghS8zukTIrf8UIOWTTmsXOcay0cyyiX3V3z/Q5vGGRZ
go3OQwc9KxS7swR4n37yVdhrvUBLzltUUG7QtQtKBJ6ZQB2kmncFIuzum9frjMtv9r5WaMCzpmAI
KFCE7J8h8kcMzRnWjQ0AiAncXQAAyBn0/SoDFjciogK+/OFFAKArhXscgeyRDFKFugYAyI7BqjFj
uop6ecCKR2pQ+gjPAW/+zKumivZRCd3to6J+lJZvbs/qhJrnutf/tFGxfiaibze22CK8fHJrc7DZ
MpzYzTGWwaTpSsDuttos1SmcdPnlCI3JPByOjyRBPwAAAQBJREFUUvV1C1t/oA996Cehb262jEa3
07fXUu82knl2TvSTEUpb38f71ab8OeknS2qur46fNPhGgY7lTw0YIxt0tXO81jT6m0AGDFaNRre5
Mbas8Qa1q7OGlvl4RM0TR+uzBYrGG00i6hyrOzJUyNxcafc6/eHw041mtzFRMDdb1TZtjC2r36Fe
eyWpBlwkAnxd8lmCCAAA8uDnH7Z71OlP14tja8MlsCycfqDvN28SdX01fcFqWmwAtKCc9xdeaWpg
Ph4Rc2CpcvREk3q375uTLTs9qh2qzHJurjgaZnYG8/7tHjUXKkS/N1NgiSeOViZLAGfXgMNIZgCA
fvz8n7vcl0Xt+AAt4TgAAAEASURBVPnfLs4/UHuwOh0kBO83VzId8Fyr1bTWTxvYJxjd7aO7fggx
2trZNs91r/9po3v9FOqbOz3778qhGlFvxyQiosG9rqMZNviw3aPmxlt2ip3B3OkR1Q5VarXaTGGa
mHb5SWIks6SvW8jrC33oQ18L/d/+/3dT1U+1/OZm6y+uExuq3e+QPfhnLpzer+7XV6/2FcJcJYRK
X27ssqhUKACAP+ikS4f6sQ5Nu3oH97pENHps0mQ080LFzje41532DjPsDOZj9xSm0WOTdSbTvVZK
0VowkhkAABSBDc5mI4L4d8q8oO83J+D6hlP4Ohl8gvmcvmvedeGvgaoEtLwTpzjteFTtxzxWAAAB
AElEQVRXdaivjTeavXbVMIwro+Y01bx/u8c7ul7P15VBRK9LFxPsBMBIZgBAUakc0qlXMAD2MdQz
5GcylnlTEFRxGmixtfnYKwfvNw9KH+FZGne1TKGaam2fDNDdPrrrp8X00Q/75Ivu9vfTr0wDWW1f
rNGkyeKa6OvxfLkMdovN1q8dqrBENmCadQJMxlFHIamRzJIU9fpCH/rQ10D/d/6gQ9S9N0hLPyP7
DD5s93znLPdu01uTiIm99ocDIiJzs9XosrHS24d2uqK9MvmcqXv9SZakXd8CfJEO7m/kfgqcX/RP
goKCeh2PcNelAM9MTWCjlBcqnom+3s/47pnA3DBpplBZe0FmzQAAAQBJREFUaFIcMJIZAFBKfvDW
RpO6jen0ELY4XGKLG2XDYLXRJT4aopPJ91P2aXT02JwERJy+TOrHOj667ImPZlZWpNvrW9hXuMIV
NEeHfDQcijcUsxIkjMJ1CoSBGq4ss5Ca5v3bPepcXK54JvqaOz1yJvAZ6m9tNFmv7q9mYZ0rR080
Jz0YrMuY29uNZNfucKjTV3MAAIhEZXnb6ne6DTb8t9rudfpaLW7EOnCbG2Mfx9cX+/UQ/skUDcFs
uHCuzQaDEZE1D/buRLP/FIcvIfvb/pf7zz4V1sJ1pU+2KnPWzrJzZQvcRV5QqgRJ5VHGqhkQ4XT5
uprygUU3RDKHdR9Adzw3Xu5Nu50AAAEASURBVFq2AhHp2x/amxtjy2Kj0SZ/cjm4FE+GmQaL8elK
dOYVPYTL9CQDQBlwv4GkYM97/g3g3Tx9Fcx+TFaL7wsyeSnYSyLsROb1OuPyzdNfficD77pQWJbr
q8ykvwdfamzQAwZKiOfJABShvmZZa3xCZXnbWg7K4cng1fAkBl98PBQBAEBb2Ehnfvk7Odhy8t17
g7V6fbLIgD92K8IwyvzOMAzDcp6+MX2/2ukshf10bTW4l7HlY0ZEeAYAcGC+urKU+F2oJojJDAAA
hcfcvNIlImJrBRhR5ihXlrf7HWKjvO+R31xfm9IHfDZEJ2532LKtzDe2f7q28il+R0GE5ynRmyep
KlhQAAABAElEQVSOPZJo3ShtH+iXXj9tYJ9gdLdPAfRTjclcAPtAH/rQh37x9CvL28PhkB8065mj
XF/jUh0/2C/Lsqy1tTXRrq7yp+P96mL/AH81QZIb8FzcL9v6jmTUt+RCaouLBa5mkcnDFDB/EAW7
3wAROZofgnUpcUcAAABIEox89sCPcOY7eL1bvT+9uF3f2dKFNc9ihlFS7HRXHm/K/MfyfmyQ3Kvm
KU9t+q9HzZHHeyz+xOc5i/nt4wdvpYhWDbmmMc7Ua3lhHvdxFas/SR89ATvH2EtYb0ajkf2hwevN
JXjurjsubTunWn8C7sFcapRq9tHIGgFfMOyX6dRiZbQP6k+8FNgn4QhESgAAAQBJREFUOAX2CU6B
fYJTCmUfzvsdDYda2sebwu3F/g71UW3seby290uiWb78OGfvnGEb48K59k+u/iw4U2TYhwr1P1d4
S8iX3G7+WJbjhDzps32n6ekX3Y2ryHZBDIMsFoNLVCqZC+XVTACZuiE+GbVr1BxEqD7J2sFvgVHD
YDXclZwwujwrJOHX/Sb2gM6vMEAaBKkCoIAU5s0CykmubsW8hN19fl4nn+7KM89Pm9/sfY0wV1K4
radjLYwOBm+C1CnurYT4RorjM2vXJDKIDOoMEKQKAAASw9xsGYaxOsi7HPpQvqhXdiArVyKDd4nt
n66t3sxe4Po6cVkqdqunNNU0JjEMW039/B4AAAEASURBVFyTRj6zDBrjxbU2KDPhQarG95tEzWaT
uvcGORQQAAAAmFIy79cVnNke3uyK2OzKE/BTCCI8R2A41Lv8MfT5ey20AyTt8qeNgvbPV9919UtY
/5VCd/vkoh81JrN5/3aPOhcv1ohGj81w/QSBPvShD33oq60/WDXcrA7I0aMdq3M7qPxJeL+62z9Z
0OsLQP6U43NewdHr0V9gAnxdClmCiHm+x+r1Yx3q3b5vpl1UAAAoGY83WxEXx1WN5saYW+horZ7+
EUvW95s2cH1Lg2HUFhfzLgTQD8x1BOpjGLS4WAvt2g2pzOb92z1qLlSIKgtN+L4AAJA03du0bllW
v0O9drWc97LNAAABAElEQVQwE38ry9spe8HwfpMDEZ4DQxsLz4JLF0d4ZmR77uERnkWlCr5QuZ6Q
f+ThwqGinRmu2OYgFMP3XgPJkkZMZnOzVW3Txnh7ueL4GwCgJXh1KYW52aq2e50+8xAHq0aj29Tt
GetXau7cJn9ubIza7R4RJXqOGsV8jhvhOW0Q4Rmojfr3NgAgK+YYySyDef92j6h2qEJEVDlUI/T7
AgBAOlQWmkS9HTPvcqRESp3b6PtNAri+AJSeMF8BnyBAXkgGqUqgijLPl7oNNg2t0SX4vgAAkA7m
To/Y/BLt6LWrdpArvwnLnYvLFSKqH+uQN2jiXMD7nRtEeC6Rftqg/EXQ9/chIjr0bgAAAQBJREFU
9Cg/9PXXjxSTOYa+EOb5cuFLxhtNh++rjn2gD33oQ19X/e6VTZOIBve6RM0TRytJ66eDQ58PcxU2
llmyczta+aN7v7rXn2Qpd69vvJ4CxbrAAsb+FRC/wY5gfvgaU8zaAxQl6hJEKTDxfLmGWOXoiSb6
fQEAIEk6J2iFjatpbqxrNc83Fml1bqPvdw6+k3cBlAc+AEgNxOAoJt6Ic8BDGnGq5qCyvG0thyYB
AACIx+yRulz8J2v3yuZb9eVKwp3bDuyWBpqSESl3hOdgJOI/B0V4ZqRvAd7Y3thvekd4ZocUdgMV
Ar+43DkUwlUgYQxzIEMxnn7pEBhNPMNyAADKAFE/tsQAAAEASURBVJ7DIGHyjvDsRdmYzwpHeIbr
608Krm8aJgl2n+D6qobL0+TJ57Tg+iZLMZ5+CaFY1y4AoEzgOQzKgJrer8KuLwY8+6NUHYqLZRG5
Wp94GQAAUgPuLgAAAJARGPkcEUR4zkHfr2mYRYS0NKcg5hDhLdHT0aX+QB/6qunLBKkaDkepvpRV
tg/0oQ996EMf+mnph0W9Ur382YJe3/KieiAe+05G0KBUwTdCEB107QIAAACqgL5faeD6xqUoFUtX
pxL3NgDZAncXAAAAUBR4v3IgzFVySIe5StYwUlGCRZv5tEkoLE9p7ew5X0xv+bWtY8qFueJBmKv5
0bZmCkFMZgCArhQ33+5LAAABAElEQVTlOQxABBSJelXSMFd44ijL5MbQ6gJh2DMA6YOuXQAAAEBX
0PcbBgY8J4p3gV1D0JuqFJIepcJnoA2up5Cj1x3mBfkBdxcAAAAoCPB+A0knwrOPoXWPMKa7ftpk
V/50un9h/8mdy92//K2se/2HPo9MTGb2X1LoZR/oQx/60Ic+9HXVd86s06/8aZLp4kYApI0uY6J1
KScoDLyvK3R32eJD+EAMAAAAaE/YikelBQOek0O3NqN4qDNGRwBQFDCSGQAAACgp04Z+bXERr3yb
dCI8l5nAgMspRXj24hvhmS/bNH6vYXARnqeFU2smqp9VPaZUObyuK3wyj4KlVdSI6pN34+BFpQAA
AQBJREFUFURMZgAAIMJbDAAiyinms8IRnjHguWjMNWQRgyIyAWYGCRI6kjnxWbsAAACAIgxWDcNY
HeRdDHXByGcncH1LCVrBOeHnmaiIosUCRIFBqgjuLgAAgFJgbraMRjfiHiV0k+H9cmTq+uoeYUxv
/fRbwVlHeEv6BtYrQp0Xvesn9MNIOyaz7vaBPvShD33ol0l/sGpU2z3296+l9jA3W/YeUdDTPk79
NL3fBMtveIpnTHGl+O3l3eoCvb4ApA6+soEYYCQzAAAA4E+nb403mn5bzc3W1G1qbZpkbq60e0TU
bZR0gLTyfb9Cl9WawrayScL2T/L4va6tXuD6pgYapIqg6h2sedYAAAEASURBVB0OgBeMZAYAAAAk
qK9Za3X/zczTnTjHvfaHg8ry+kaTiDp9K3DHIqO29xsv8FXUvRDhOWmEYXwzjPAsVnaVavqvO8Iz
J6FBhGeeAAsrEOMxoPh5Fw0kTfSbHDGZAQAgeRR4+4P0YYOYO32PNzsZ3cxv8c1bMjKI+Rw3wrMw
nXXhWrOmvuMnv5f3Dxe/2fvava6vPVy7VqshJXbK5K8p3CD4NI7uOJpfefhS2SmufYNRzao+Jazx
5zU791zrRoCdc7cqUlKqqwG1TnK53dFosp8654UUpCAFKUhBilIp//bvRPTr8WhUd+V54cJGs9fu
NowuEdHpvxv+t9//N5qi2lmkz6pkAAABAElEQVRkmjIc1hYXiWYOavLHIgrIM20LuT1YP3hvNtS5
DQW9vklTgF5ftgdZvmrZY5vMz2nQsNc370KBdPC5ySXdXQAAAMmgwNsfpI9ET+5g1Wh0qdO33nqM
Xt8Zqfb9JtHr68oT4PpG6vVFhOdM9P2m7sXVT2CIvqtCJFHvs7B/EuX0s16q5c9gVoW69b+s+snG
ZC6efaAPfehDH/rQT4Jfe5MGq8Zkwd/KQpOouVChyqGaN58EuttHrJ/cvN+kym8HsnIlMpgry7xf
l99r/+vd6gVhrkqNrt9DWbnnKz27s5Sc5w90xTDIIMv+1wWCVAEAAADZUF8bbzSp2zCMarvX3Fhf
yvUmKwAAAQBJREFUrhDVj3VYhOfWppl3+VRAsahXdjBn+6c30U4J2Ct4FLN7ri9IBn+jJ1i7MJYH
gNzh7mjB12TcoQAAAEBqVJa3rRfE4WAqy9vWsjOpvmZZa5mUSxfs+XilcSow1zdp+KrjmdzpGFc/
RyULnFActoNfkV0DDJSa68sjP5vaf9ala+JzBkX2oqJtgRyIyQwAAKpTmqY8APOS+LzfuHN900YQ
4RkAkDZ4F2sHglQBAAAAoJiUqe8Xrm/SZFtj1BicrwbT2zWOTVx99UW/7YEMcHcBAAAAUApK4/0i
wnOa+hGrTvoR8NIlT/sn8Q0A9of+PDGZVSg/9KEPfehDH/rQh34c/RHr5v0AAAEASURBVLhRr/Rq
P6PXNycy7q6N/v3Guw5tAYj3Javo379KDbp2AQAAAACIStH3i8WNAIfmtdzhxhTPcQcJEdC1S1iC
CAAAAFAdtmrvhMXFxckSvmRutgR/gggotuJR4iDCc8rw9YaP8EwGS4n3WcUV3ngqH7+MjnjIXGlV
rBHCCM9sC3HLfIks7I3t7Dh3PpPngHMWmUdFqxYdxGQGAIByoWgjBiTCYNVodJsb4+3liiPd3GxV
271O31qrc3/mUkS9mTPmMyI8A1L/60n53hCqXxEwBxjJDAAAAJQMwVq+IA6FnPdIRBjwnDMFrVX5
4vBqErQwLpbyYCQzAAAAUGK8o5wfb7YrC2QTAAABAElEQVTYsOjWpplXqfSEtZYK1/pFhGfoJ+YJ
6Gqf6V2tV4Q6L7rafz59+ZjMapYf+tCHPvShD33op6XfvU3rlmX1O9RrV2NO/C2yfWQI8371aj+j
1zdrNOhx0qCIYnwLzjlGduA6L7XFxXTKBZKE93WD3V0AAAAAFJZeu2qHufLr0+1cXK4QUf1Yh4hG
j8WZgA9FDHkF1zdlUmuAO+NnpXKccjkPmdzVcMnigZHMAAAAAHDQ3BhblmVZw+HQcse7clNZaBL1
dsxMClYkCuf9IsJz+tj9jWSRHXKYnJ5rTMnYAoHSceNOZ4R/hGc7KvXMwp6Y1dM/yZ3TtcFzwHls
MmecvHKCoouT+QAAAQBJREFUmMwAAADio3JLBsxL5AjPfjsAKaI2ZBWO8Ixe3+xwXGI8jhMhoKfP
k+7rSvE5i/JNS0cwkhkAAAAASdK9smkS0eBel6h54mgFq/3GokB9v1jcSAPw4dIBs0V0i/h1FYMc
wRJEAAAAAEiLzglaMYweETU31pcrZOZdIG2xG9CauyWI8KyA/rSTS6Hyx6rTCpV/TvwmlUbUcP2R
NrrYXz4mc7LoYh/oQx/60Ic+9KEfSH3Nsuz5vZx+ZXnbstgQ58mfy8vblmXZubkM0mhon3T0ffp+
EeEZgGxJxE/S+QuW4kiOZB4OdXp0AgAAAACUC/1HPmPAszZoPr4gV7Id5YwrRf7a6zoAAAEASURB
VBjJDAAAAABQPDQf+YwIz+njjDA8CyEsHabZG3Q59QjPOmIYAgs7QjlbngSfnIypHaJGeHZdL2Ou
YN46gZjMAAAAVEHf9gwA6hMc81nhCM/o9c0BPIrVIfRaaDugIyPg7gIAAAAAlAtt+37h+upHeXoR
88cwiGBiBxjJDAAAAABQdvT0fhHhGfrl0Je4J0fDYXx9PzLsNU7P/gFBqii5FXeVrj/Qhz70oQ99
6EMf+tDn0TDqFXp9gRN9Ptukjj63cRpgJDMAAAAA1MQZUaVG5A6w4m2rsE1owySMbn2/WNwoV3So
IkUivr1L4AaHLkE0HI7SWG4XAAAAAEAe19Q/1j4se/HtAAABAElEQVSxPVv2n6slw/wytGHSYDZq
cu7WsuFRMKa4UoQ/DQ7fQyDCc+p4IjzP0kXxhIUC5YwYHA3v1yaf70/eiNkB4bMNsojIogifCh2X
1DAmCkpeKUzcBQAAUEw06YMC8Qht9AX/BMnDN39jRXhm/qqfN8p2ce1o/xRu9YIIz7mCW1A7CjFW
BiOZAQAAAFAkvF0YGPCcNfzI55gCVkBvbVLA9QWlgz31Unr2KTgyGl27AAAAACgqri5Ge4ykq4Xj
lw4SwzvQPAlcvcH8T9tbFm4V4nZ97SBgtVpNuxQ7MaVjeQ8kqzMc1hYXR6MRm4jvyGMrGoadk92U
3OFce812Koh98k6p+D9qWgAAAQBJREFUTdPtRJvJXey5mf2V3QreXTI4L0l3dzSa7If6M38K7AP7
wD6wD+yjZgrsUzz70LS5ZRg0HI5GI28eRwai2mg0Ko99cqs/zJGhyTcG4V7s71Af1YYf0uz66Rrw
zDvAvsoXzrXtrFbKDIfDMuozw04ulWgr/58oE7/R/hkDRe2Tnr68mYhm+p4rMpFxXQZ/JUdGIvvv
tO3jKri7JHOj3PWFPvShD33oQ98P7uWnZfmh74+r1Sz8yWfm94qBdvbJXz+sAerndfLprjy20xvw
M1T/m6e/RIRnABIj49HOoTGZE1luN0nMzZZhGKsD4YbFxb/1bpjjAL4Hi85gdRYy0BbkEz+1UDUA
AAEASURBVA3DMBb/9ue+OyVTDAAAAAA4mjeuFSi8LR/7b7VaRCUhSsuY9QO7pvvaDSnboQ346cos
JFPX1+7sLqO+Aneb0vbJV9+yZvqpXalEyh/g61J67q652VodRCu/udmK7O79TsT80Yhrf3Oz1ehS
p29ZltXvULfR2jTtjSzZsqzxRvP6X9gerrnZMhrd6cbxRrPbMPjdsiw/9KEPfehDH/rQh362+j4r
pwTA99mSs1OXd2UDfnoze0Gvb/oo4PSWlNiWTyoQVkK9wJJdu2lVNHOzVW330t4leSrL25ZlrdXn
1TF3ekSdY3UiovqaZVnbyxXR0S52iLpXNk0iGnzY7lGnPz1/qbEeAAABAElEQVQ2K4lwNwAAAADE
xDX8Tf4/kAXRvd8MgOurGyrVnpIS8akZwyPNdSQzGydsGIZhtDZNMjdX2j0i6jYmo3a57YbdkzkZ
XLy6ahiG0Wq5dnHzeCoh6gh1jFN2DVrmxhCHdynb+w5WDcNobW6uGp6jSgt274Uer36sQ9TbMYkG
97q2swwAAACAdHB1AMj/BzJCPe83U9eXDwUG/RBSqCK620c/fefDNVh//pHMiZSfebqdvjXeaFKv
/eGgsry+0SSiTn84PFWnwWq13ZsM5O13qNde4bzXLh2zLMva3p7uIu507d6m9enuVd7j/HVg0Qar
RqPb3BjbI4gjDaju3f63/31oPx6ETgAAAQBJREFU2acVQbC+1u8wPz54zPJo/GsiGj02zcepVFT9
6j/0oQ996EMf+tAvub5iXxrQ66sVynwyKRXp3bM5j2T2p3tv4DNcuL5mWdZaZbNlGEajS5NuzgnN
hYqMeuficoUmvaQ0emwG554yuNclap44WiF7dHF4T+yM5okXf4+IKodq04PKC9bXmKdOvXYVIasA
AAAAAORRqasdrq/auFyiyYTvfMoC5kf9mMyTTt5uw2cUMBshXL19YsycQQe1Q5VIx1poOl3nIFhX
KvM9p263tNuchGB9jfUO2xN6xdQOVZh7DQAAAAAAlAIRnhXSTxvd7aOpPnNxDYMWFwX6Cbq7CZWf
dftD5VoAAAEASURBVPdOHFu+H7RWq01msfa5kE2SPb0izJ2ec/+gCM/Mn2TDk6dECxz1vzntE0uw
cvSEr7v+6//3+uR06sei9knLoGn9hz70oQ996EMf+tBXBPT6Zkq8iEdAUwyDDHJfcsUDLbBe3dXB
pE+2uVAhTycmc+rMzSvuAc82wf2e0zDI3IBjz76s/9W8f9uOE82iSN2+b9rFnHO1IEnBmUXsAoki
WDFzTMdyv7XRpG6DX+po7uICAAAAAIC5gOurGwp6SyAs6rPKvq6L+tp4o0ndhmFU273mxvpyZdqJ
2TCM1mZlFvKp2q5tbDR9Bglzu3i3dk7QChtiPDmAuwgsAJZhGCs7tSawR+sDAAABAElEQVSXbvU7
kwHKjW5zYzzvakFygjOLGBOjjLkZ0NOR4QaL/sUvZ9TvTDeybVjcCAAAAAAgVy6ca9uL/1opMxwO
oe+GSPAfS7cmy8vyyfOgpX3y0uevgp3ivBjCS+e+WJxCoewDfehDH/rQh77K+nj/Qh/6eemHOS0Z
eJ1Cvnn6S/T6ApA86vfuAgAAAAAAUCrg+uaNcBSsHRkJKIXzSk3GMJMBRxcAAAAAAADFMS6ca//k
6s+IyDAMC034vPAuYjRNYXGScGWyxjAmV8E2vZ3CcKaLVqHi9gIAAABAluD9C0BehN19eXmdv9n7
Gr2+AAAAAAAAAAAKDlxfxcAXSkXAhQAAvWGF7AAAAQBJREFUAAAAAKBAZOr6jkYj6EclQRdMd/vk
oB9g/eDljCT1E6Uw+mwZXINbTpcxWHUsljRY9c8wk7AzmP/3f50kpbTAbmHsD33oQx/60Ic+9KGv
iH6yoNcXADnQD5wNg9Vqu0edvmX1O9RtzPxU8/GImieOVoiYa9vouva0M5ibK+1ep29Z440mUzA3
W9V36N2xZfU71GuvpOP8AgAAAAAAdYHrCwBQifqaZVnWWp2ostAk6u2Ykw3mTo9qhypEg1Wj2u55
95xmMO/f7lFzoUJUOXqiSb3b9wf3b/foj//0xcpEfnu5ktHZAAAAAAAAVbhwrp3v4sLAsiyLaPKf
ZXn/xZVRCFIru5QAAAEASURBVPtKOa+XN3mWH8Sk3yGiTp/7xX70O9TpW+ONJr+Zy8Dvx/7udJxZ
AQAAFB28f4tPv+N2a5obY36T/ebn2wyevdA+SJywuy8vr/Obp79Ery8AUQgb9ixcpxlEZ7BqNLqd
vrVWZ7/NxyPWk0tUX7NTOewM5mP3nJNut0vUpHstwQRiAAAAAOjLzHH1TmnqXvGb4MQ7xd0GWgbl
Aa4vAEBB6muW1aeGHbfq/u3edKKvkNAMvS5dtDwTiAEAAABQCOrHOkS92/fNWVKv/eEgeKfK8sVO
kI8MCgYiPCujn35fod720VSfu6xalj9Xfe4lZk/09WOWoXKo5trGBjyf/oPfsTWLIasOAAABAElE
QVTtCcQJUjz7Qx/60Ic+9KGvgr5pmu+9997Vq1ej6Xc2Nprde4MQ8dCGgfr2KbZ+sqDXFwCgNLVD
FRrc61LnWN0/kyfD6LFJk8HPzYVjC810ywgAAACAhNnd3b127dqRI0deeumlr776ql6vB2Yf3OsS
OQaAHVq+2JHs0GXNBlB44PoCABSCrcjLRiQP7nWJOsfq/ERfn734DPW3Nprs+y2L9XziaP3oiSZd
/+efTzUDtQAAAACQH3t7e9evX2+1WocPH/7yyy/ff//9J0+erK+vLy0tCXJ3G4uLi4ZhGEaj29wY
u9ZwqL+1QaGDnkGZQIRnJfCJ7YwIzyoSGOEZzA8Xl6pd5wAAAQBJREFUe5GFahxvNGdBG6fw0Rq9
GWwNR4RoThMAAEChwStZN7799tubN2+ePHly//79J0+evHnzZtgesxUdWJvAGfKK29TZcEd45qM6
exLAvCgc4fk7GXnYABQSw5j+AxKjvmZZa3xCZXnbWnbn4hO9GTwaghQAAAAA5E+v1/v444/v3r1b
r9dfffXV9fX1/fv3R1KoLK9v3K62u43Wgrvft7J8sWM02v77eoeD9Xq9L7744vz581GLAebEMAzL
GfzImDayWbrBtbn5FHsv108vGPCsElgVBwAAAAAAlIAvvvhiZWXl4MGD77777gsvvPDo0aM7d+6c
Pn06lsNZWV7faIpDOpUAOhwAAAEASURBVNff2vCP+GFuXukSdS7y/vKBAwd+8YtfVKvVS5cu7e7u
Ri8MiIMh6kqyO2x5H5hBU1eZ93tdmb0gwrN6+uz6peAGF8Q+quqHruirePmhD33oQx/60Ic+9NPW
39nZuXTpUrVaPXPmzPPPP//5559//vnnZ8+ePXDgwFz6bJki6jY8i/RWjp5w+77dhsGotnudvrVW
5zcuLS3dvHnzwYMHu7u71Wr1z//8z03TjFc2GQp2fWMT0FWbIOj1VQP092oELhYAAAAAQBRM07x6
9erhw4dbrRYRbW9vP3r06O23365UKnEl62uWxXut9TXLmqQ4N1WWty379yTXDKffa1OpVLbWK14H
AAABAElEQVS2tsbjMREdPnz4zJkzqTrAwA/2jYLv2uU7dV0/Q3HP9bUd91qtlkbKaDRKSTnLs0gv
xWWfGtFoNLIs2Ee5+sNjWWQYsI8GKbBPcArsE5wC+wSnwD7BKbBPcArsE5yir312d3f/4R/+4Yc/
/OGvfvWrP/mTP9na2nrxxRdZHpZNffv85V/+5d/8zd9cu3btD//wD3/wgx+srKycOHEiPYulkZJ1
/fGmcHuxv0Mn5doEjG12bQ2VIiLjwrn2T67+LNI+IDsMA32MKuL6vGRZuFAAAACAQuDFnCvPnj27
devWJ598MhgMjh8//uqrrx4/fjzvQs3L3t7etWvXPvjgg6Wl+pB4bgAAAQBJREFUpYsXL4atM1xi
wu4+P6/T1bvL5xH+tBOFP736v9n7GgOeAQAAAAAAAAlw69atN95447nnnvv0009ff/31J0+ebG1t
FcDvJaL9+/e//fbb4/H4lVdeOXPmTKPRuHv3bt6FKg7GZNkUw5XID3h2/WTurt9PIXB9AZgDfFEG
AAAAQOkZDAZnzpx57rnnfvrTn77yyitPnjxhi/Tu27cv76IlzL59+86fPz8ej0+dOnXhwoUjR47c
unUr70IVAT50M01HMnsT+Z92it9PL4jwDH3oQx/60Ic+9KEP/SLoD1YNw3BH+NWo/NrpP3z48MKF
CwcPHrxw4QJboKjf77sWKFK5/OF+aoUAAAEASURBVPPonz59ejwev/POO1euXKlWq9evX09WPyl0
108W9PoCAAAAAADdMTdbRqObdynKwc7OzuXLl6vV6htvvPHd7373888/f/DgwTwLFOnL8ePHHzx4
sL6+fuPGjYMHD169evXZs2d5Fwr4AtdXbTCeFgAAAAAghMGqUW338i5F0dnd3b169eqRI0dardY3
33zDFii6fPnyHAsUFYRms9nv92/evPnZZ59Vq9XLly/v7e3lXSggABGeAYgOi1zH/YtAkgAAAEB+
DFaNe8estx63qu1ep2+t1fFiTo69vb1bt259/PHHDx8+PHny5Ouvv47gxgE8fPjwypUrvV7v7Nmz
584Vp6PSAAABAElEQVSdK3xP+GB1Ntqi07fW6vEjPKcNIjwDAAAAAADdqa9Za/W8C1Ew2AJFr732
2sGDB7/88stz5849ffp0fX0dfm8wS0tLN2/efPDgwe7ubrVavXDhgmmaeRcqLczNVqNLnb5lWVa/
Q91Ga9PMu0yBwPUFAAAAAAAATLh79y5boOjjjz9+/fXXnz59WpgFijKjUqlsbW2Nx2MiOnz48Jkz
ZwrpAFeWty1r8tmpfqxD1Lt938y3SMEgwjP0oQ996EMf+tCHPvShX3b9wWCwsrLy3HPPffDBBy+/
/PKTJ0/u3Lkz/wJFhbFPDA4cOPD++++Px+Pnn3/+yJEjr7322sOHDxPUjbxozgAAAQBJREFUlyEz
ffPxiIhqhyqpHm5O0OsLAAAAAABASdnZ2blw4QIbmvu9732PLVB09uxZfoEiMA8HDhy4fPnyeDx+
+eWXW61Wq9UaDAZ5FypxBh+2e0SdY/W8CxIIXF8AAAAAAADKhWmaly9fPnz48Llz57773e9ub28/
ePDg/PnzhQ/LlBf79+8/f/78eDx+9dVXz5w502g07t69m3ehEmOw2ugSdfqqT7lHhGcAooMIzwAA
AIBymJuI8BzG7u7u3bt3f/rTn+7u7p48efLUqVNLS0t5F6qMXL9+/cqVK/v27bt48eLJkyfzLs5c
sBuvuTHeXq4QKR3hGa4vANHxuL55FwgAAOf2jA8AAAEASURBVAAAHHg7O9nb27t79+6NGzcePnx4
/PjxU6dOIVCzCty9e/fdd9/d29t75513Tp8+nXdxYsFWN5qsa0RESru+GPAMAAAAAABAAWELFL3x
xhsHDx789NNPf/SjH7FwzfB7FeH48eMPHjzY2tq6cePGwYMHr169+uzZs7wLFQk20rm58VY975JI
gQjP0Ic+9KEPfehDH/rQh36h9O/evXvmzJmDBw9+/PHHr7zyytOnT2/evCkcWKtm+UulX6/X+/3+
nTt3Pvvss2q1evny5b29vQT1k5LyYm5e6RIR9dpVg6H4wr7o9QUgOhhDBQAAAAD1+OKLL1ZWVg4e
PHjlypUXXniSwdneAAABAElEQVTh0aNHd+7cOX369JwLFIEMePHFF+/cubO9vf3VV19Vq9VLly7t
7u7mXagQKsvbw+HQ4phM91UVuL4AxAUOMAAAAAAUYGdn59KlS9Vq9cyZM9/73vc+//zzzz///OzZ
swjXrB1LS0tbW1sPHjzY3d09fPjwhQsXTNPMu1DFAWGuAAAAAABAsShHmCvTNG/dunXjxo1nz56x
cM0LCwt5Fwokxu7u7pUrV65du3by5Ml33nmnUqnkXSI5EOYKAAAAAACAeJibLcPJ6mC2dbDqTBis
GkSGc+4hpzDNOVjVY3qih93d3WvXrr300ksvvfTSV199dfPmzfF4/OMf/xh+b8E4DyBiIgAAAQBJ
REFUcODA+++//+TJk+eff/7IkSOvvfbaw4cP8y6U3sD1BWXH/b7kELwmnbvNkn1enwHiAAAAAJCk
srw9nUs43mgSUedYnW0xN1tGo+vIbD4eEdHGmJt7OFittnvU6VtWv0PdRmvTHKwajW5zY2xZ4w1q
V3Xwfvf29q5fv95qtQ4fPvzll1++8847T548WV9fx8K8xWb//v2XL18ej8cvv/xyq9VqtVqDwSDv
QukKIjxDv8z6jvelW9/7muR3vNLlc4pen+6XsYb2gT70oQ996ENfLX1zc6Xdo06fLSE6WDWq7Z47
y/3bPSI6VOH062uWZVlrdaLKQpOot3P/8YioeeJohe1/aM4AAAEASURBVKhy9ESTerfvm1mUP54+
W6CoWq1++umnp06devLkydbWVrPZTEo/ER3op6q/f//+8+fPj8fjV1999cyZM41G4+7duwnqxyZt
/WRBry8oLcL3JYfnNWnOdv2Q39EUvD7DxAEAAAAQmcGH7Z5zDdFOf9IPbGPu9IiIGuJRW+ZOj6hz
7NDO7CVdOVRzvuZVodfrnTlz5o/+6I9u3LjxyiuvjMdjtkARwjUbxuyPxcWa/ZOl8D/5RG+6duzb
t+/s2bPj8fjUqVOXLl06cuTIrVu3Uj+qPbaRH984TVw8+z9Mzx6ze4/b13Uz5jI0Eq4vKDPe96WQ
yWuyPv25eaXb2ZjtZ4rKFTOcAAABAElEQVRfn5LiAAAAAJBjcK87/dhMRET1NYt1/3ryEFnTUVv/
41ezbatGo9vpW2v1+rEOTbt6B/e6RDR6bGZwBjI8fPiQLVB06dKlF1544R//8R+3t7dPnz69f//+
vIumBLwHa1k0HI4sa5LI4ivZP/lswnR9OX369KNHj955550rV65Uq9Xr16+ndyzWx+OaQWAPeHyX
3qm6hkZyf7YaXer02TwFfgild55CRlw412bnQUQWAKVjMmWo75uh33Ft73eouTHm9+t3aPpI6HeI
Zo+HUHEAAAAAyMK9b3lEb1vWrBXtYKfZ36fZyGGvbsYwT6ZSqSwsLPz4xz8ej3Muj8p4vRaWRstz
KgAAAQBJREFUYqf7uTWFdHf6/X69Xmcxsb799tuk5QX313ijad8x/N+WNW0Ksz24G5BT6XOeaKaN
5G+e/hK9vgAEU1+zrD41pgM8BquNLve9eZJlvNHstauGYVwZoZ8XAAAASAN3n2887P5eO3TW9sUa
EdXsycHZYprm1atXDx8+3Gq1vvnmm+3t7UePHr399tvarGSTN2wkM1srh/Xr+q2tU9QVr+r1er/f
v3PnzmeffVatVi9fvry3t5ecPBvd2OVnEPgMeKTJ0EiiSWuY3Ww75nQG/mwIZV5DI+H6AhCO/Zo0
N690qXNxueLKoMjrEwAAANAbe3EFb8hlFrg5oVcsL8PGcy4koiN9u2oAAAEASURBVCvN3t7etWvX
Go3GSy+99Itf/GJ9fX08Hr///vtYoCgq/EhmvwHPVFy/1+bFF1+8c+fO9vb2V199Va1WL126tLu7
m4Au++I0HdvIBi37zhcYfNimjbdmO9fXrH6n2zCMaps2xpPpCfXJ//IAEZ6hD31Z/dohun+7N/nu
xYJYdRuu+fkBr8/cyw996EMf+tCHvur6s2/Jns/M5k5PxkMdrBqG0WJ/3usSdf7PF/6DOdST4Vv3
ukSdY7Q6TTHv3+6JPmvHKn8Yz549u379+muvvXbw4MEvv/zy3LlzbIGier2eiH4Miq3Pu8Rp6M9P
svpLS0tbW1sPHjzY3d09fPjwhQtOHQnpAAABAElEQVQX/umf/mkuxfqafTvOPF5uwON///yPp1k9
QyPZaidslHOtXQ0LamV4vljYIbKEOV1b+XW//Q6BXl8AeNjLcXUw/cvxmqx7lxXsW2v1yVs2idcn
AAAAAOaCNcqJDIMF4ln7AVFlebvfIdZSZ4n1+to0pdqmjbEnWlbi3L1794033njuuec++eST119/
/enTp1tbW8ePH0/7uMXD9maJi/AcOuC5MEGeZahUKltbW48ePSKiP/uzPztz5oxpmgkfYtomvrb8
vxJR7VDFOzSSH+VcP9Yh6t4b+AoK/VV7mi6/1f7bu9VO8TsKXF8AxAhek35ZM399AgAAAKWD631y
whrhwtF/7gAAAQBJREFU07evYVTaPYvIIrKoZ2dnSxbyHcqzFJFoUgwGg5WVleeee+6DDz545ZVX
njx5cufOHSxQNA92uGbiIjy7tvI/+V2KPebZBQt81e/3n3/++SNHjrz22msPHz70zR0w1yCQX339
/xE1FyrmbGgkERsaGWmdzwB/lccwDMmcYhDhGQAAAAAAFAS+QZtf4/bBgwfnz58/cODA0tLS+++/
/+TJk7xKAoBlWU+fPn3//fcPHDjQbDb7/X6EPd3rmLDhy3bieKPpidPMwlzZq3y69ph4nYLA0UJv
1HaM+Qz8H66/A1zab57+8jsuT9gebl6r1ZCCFKQgBSlIQQpSkIIUnVLIweY2948AAAEASURBVGg0
yvLov/3bv339+vWPP/74P//zP5vN5o0bN/70T/9ULfsUKCX26OXhUKGzyCzl/PnzZ8+e/eu//usf
/vCHv//7v/9Xf/VXbLx9iE59bbwxqrarRpuI/ngyuLG+9nenu3/BEqcjI7334Og/Xlj7u9O9v2gY
XSJqboy3X/iPEdtuGFWSg/m0dmcvP7PX9nj5vymwZ9i4cK79k6s/C84EAAAAAACABvATPbOK6ru7
u3vr1q0bN27s7u6ePHny1KlTS0tLGRwXgHhcv379ypUr+/btu3jx4smTJxNWD7vv/LxOPt2VZ56f
Nr/Z+9ox4BkAAAAAAAAAAEgPv4HN5BzS7Jc2mp+ZAAABAElEQVRfuDVA3B7w/L+EZkqQ4XAIfehD
H/rQhz70oQ996Our/+233968efP48eP79u07efLkBx98kKy+C+3sA3299Pv9fr1eZzGxvv3228T1
hQQ4w/ZPbyKfWbiLn/gM9PoCAAAAAAAAAMiGGN7y/LjDXMEBBmXD3GxNA6+zJXonDFaNxmhjPF3t
YLDKFuQWZZhJ8Blmqc2ZDAAAAAAyIdFZvoPB4OOPP7579+7CwsLrr79+8uTJ/fv3JyUOgDo8fPjw
gw8+uHv37tmzZ8+dO3fgwIE4KhJzfWOWb26wri8oMYPVartHnb5l9TvUbczWMTMfj6h54miFiC1z
1ui69rQzmJsrMAcGDwAAAQBJREFU7V6nb1njjaatYG62qm3aGFtWv0O99kq09dEAAAAAkCbPnj2T
ybazs3PhwoVqtbqysvK9733v888/7/f7Z8+ehd8LisrS0tLW1taDBw92d3cPHz584cIF0zSFOXd2
dgaDQewD5eX9wvUFJYYtZr9WJ6osNIl6O+Zkg7nTo9qhCtFg1RAuxz3NYN6/3aPmQoWocvREk3q3
75s0STxxtDI5Ajp9AQAAAFW4fPny7u5uQAbTNN97773Dhw+3Wq3vfve729vbjx49On/+fKVSyaqM
AORJpVLZ2tp69OgRER05cuTMmTNeB7hSqZw5cyb4Vgogr7HGmbq+9nJP0Ie+YvrmTqEqjtsAAAEA
SURBVI/o9B/U2a/BvS51jk1+2Atyc9gZzJ0eMSeZKodqE++ZS8yq/NCHPvShD33oQz9c//Lly598
8onQid3d3b127dqRI0deeumlr7766ubNm+Px+PLlywsLC/L6aQB96OeizwJfjcfj559//siRI6+9
9trDhw/trfv27du/f/8bb7zxL//yL4mU05jiSnRlEP40OIKPgl5fACYzeYf/7Qfst/l4xHpyiepr
3PxeGzuD+dj9NBk9Ns3HI6Im3WuxO3B1kGbZAQAAACDHtWvX3n333WbT8T17b2/v+vXrrVbr8OHD
X3755Y9//OMnT56sr69jYV4AiGj//v2XL19+8uTJyy/ExVRCAAABAElEQVS/3Gq1Wq2WPc55aWlp
MBh88MEHiRzIDkbFO7T2VrZUr+Vc9ZfPbO8efJQ4rm+OU5MBSIH6mmX1qbG4eHbTJDZeeTrRV0ho
BiLqdemi5ZlDDAAAAIBcuH79+srKChG98sorRPTs2bNbt2698cYb1Wr1008/PXXq1NOnT7e2tlyO
MQCAiPbt23f+/PnxePz666+fOXOm0WjcvXv3+9//PhH9/d///a1bt9I4aCqDovnFjbwxoO0DexP5
YgXA5xHuQmGLMgXrA5AM/Q4RNSehqajT57exAc92Gpeh3yHv38JEAAAAAGSGswG5tbXFWpX79+/f
3t4+ffr0/v37jx8/vrW17M4t+AAAAQBJREFU9fTp07zKCICmbG1tLS0t2fHe9u3b9+jRo9lmCffQ
L93PT/R6kaE+ppdvnv4ycq8v618mUa+0X2Y7j3cXYUc2S/R2ZAOQNrVDFedEXxGeDKPHJk0GP7OI
Vwv4YgwAAAAowvXr18+cOcP+3tvbe/fdd1944YVHjx7duXOH+cD5Fg8UksGqYNJbaKK52TKcrA4m
OdzT6GZZU5xa5+eEnT59+kc/+pEdKf3Zs2evvfba3t5erEPMJugGu34BfqKMW8oIcn0lnc95vFML
KwmD/GAPDTYceXCvS9Q5Vucn+vrsxWeov7XRnMS2moV1rhw90aTuvcFUNlAOAAAAAKnB+72MZ+jS
XcsAAAEASURBVM+e1ev1mAuWAhCOeF1MmcTK8vbUiZsMOTxW2Ww1ujRZR9OeRidcXDMVvE5er9c7
cuTIysoKv0jYzs4Ou9GiOoWubtu0STfMFfOKbceYRRiz+42DM7t+yqBshDToq6lfWd7ud6jXrhqG
0eg23/30VD3yRN/K8na/020YRrXd6/QnyxjZiUaj29wYT1K1sw/0oQ996EMf+lrrP3z48MaNG7/3
e7/nSjxy5Mh7772X1FH0tQ/0U9AXrospnzjB3Fxp96jTX6ubOz3i1tHkO1xci2smU/4ZhkEuj+3Z
s2fvvffelStX9u/fX5/ygx/8gP2xt7dnGIPYbqzds21xsazsf20dO5p0AAABAElEQVTH0B59zP/0
7uvHdwIOT9yAZBkt1752yeR1XJldPwFInPqaZa1N/h6NRuxz27I7F5/ozcBrBCcCAAAAIDuWlpb6
/f5oNKrVajs7O7u7u+zff/3Xf/30008/++yzra0tdP+CpOn0rbcet1xurW/iP//X6jv/j0th8GG7
R82Nt+pEdKxD3e6OSUT3b/fYEEUa7PSIOrPFNbs7JlEllZOxrJkPvG/fvrfffvvtt9/mM7D7i5yu
stdtljiQIJ6U5E95L9XX9XWphE7oDSiZzeLiIkY4AwAAAACAjFlYWFhYWKjX63kXBBSb+ppVJzIf
Syf+s1eDzZebjDGsr1l9MhpGl4VjiERYwgAAAQBJREFUXa74LK5J9UpCp+CG9351J9qAZ1cftEzP
srfnmh/G7O1b9maW95bZJ4f0gD70oQ996EMf+tCHPvShD/2k+P3/4k5xeL5sOnCnb1lWv9auRg9q
Fa/88r5urVYzDHd+5i0riK/rG9rFbBN8AD6Pdy/hT+G+AAAAAAAAhOJqc6vZBAfAB6fnOxvlTPVj
HaLuvQEb5OygdqiSapmYK8v+c8GcXq/Hpqb3G63XF44oAAAAAABQDbtdbvc+sWY3+ylsrwvb8ZKH
mEfH3jEewiPGLgaIib22UOLRldloZglf1r24Zsow/9Z1N2k3EDrdCM8uFIvABn3oQx/60Ic+9KEP
fe317X9O6LsAAAEASURBVH4nYe/TaDTi+6xs99jbjvfK2v6k6xC8znA4itrBJeOQuwosLLm3bH7F
EPrttn0iFD06xdS3lyGarOMRn3/7d+fvWUhnomlYZ/eSmcLFNSOVP5Bgh9ZVzQL0Fez4DQpzBQAA
AAAAgMr4NdPt2DysZe7XlHeF8OFb6gHhav2Gd/LptpQ3kaV4HQPhEe0Iut4jesvm0rR/usogTAcq
Ulne7u8YjYbRJSJ7ycxJqtElok7fmtf9jgpff4I9a9VCZMH1BQAAAEBJUapNBvKCdxf9vOhIOl53
2s/VDHDIJRE64TbCGs4XzzBoOJQ9VtmY4/kQuljmLPH/uDb8v/hPG971McWFcgXzAAABAElEQVQr
Zqa1jqbkWSvYoyuDceFc+ydXf0YRV+4FAAAAANCaDHq94Fqnja+FczW99+Aq1wR0//qh8lVLjwTO
OkwiL6/zN3tfo9cXAAAAAKWD7/VKsA3Gdx7q2CUCEiG4J1Y10rgR1Ce4n5+4vvqymaXY5wvXFwAA
AAAghOAWobcZnZJrDXhg2wQplZvnHY6eEs+ePbt27dq+fftefPHFpaWltA4DpEGEZ+hDH/rQhz70
oV8ufb6xK989y8fd9aq5Ygvzf2tnH+iXU1+4duv8gxdUs4+Mr+sKMxarXERE+/btO3369CeffHLk
yJHf+q3fajQaly9f7vV6e3t7dh4//aRWq5Ip70sK9gAAAQBJREFUPx8/PA19dUCvLwAAAAAKyzxd
Ot6eW/TlKgKmp6aENzQX/68rj44Ig3Wnejvv379/e3t7ZWXl2rVrg8FgMBiw9IWFhRdffPHcuXPf
+c53/KJw03xVXfK8SvU0g+sLAAAAgGIi7DPxtvOGw5Fh1IRxibwrx9h/SHoClkW2OBy2SPhZuFQt
9bzgK7/M+k+KExrB228INH//zsP6+vrv/u7vvvvuu3bKzs5Os9lcWlryW+SZL3CMOo9YA0IQ4RkA
AAAABcSvh1bYiPS27CWdVcnBk4xSTaeUx2/9W6ErImtAGDoT5PsVGWkHVPc7StT7NOq+fuzt7Q0G
g88++2wwGJim+RcVpAsAAAEASURBVOzZs2fPnrFN6+vrZ8+eFdbt0GeUDDJhutL6GIcIzwAAAAAA
meHX9PJL9+vFDZ0JLLkApksQTplwDDnQDpnh0InElPJz0oRd0K7CyC9Umwgud7der7/88stbW1v7
9u07fPgwEe3fv//mzZvNZlO4e/AzSrKQoTlLOwIFri8AAAAANCYgunIk/HYpYeswbfwGk/v1ehVm
omkhEQ6H9rsZo376CV4tLMBLpOQ+psiUeXd3l7m7X3zxBe/u8lGdL126REQHDhzY3t5m6VGNI2k9
Gb+3tPcRIjxDH/rQhz70oQ99vfUta9Yy9gtjI9wkqT8nLv3QnuQ59RMnPX12RVz6wsur8JzwAAAB
AElEQVRkeWJoy6OvfXTRd/lvFhcp2nt95eu/K3a6a0e7nviVP6kbzU9/d3f31q1bKysrhw8fPnLk
yCeffPL973//5s2bT58+vXPnzvnz53m/99mzZ9evX19aWvr8889tv9ern7hHmvjTxgsiPAMAAAAA
ZIEnII1v2xHjaRXBFTyJB6PBC0PwRczyQid7ILt3dzAY7O3tsd7dc+fOLSwsBO/Y6/WWlpZu3rz5
3HP7WUq8UslM3/UbFh47YlaRgOsLAAAAgIKgy6Bl+HgMYe8uAOTf+R9p6HsifZ6//vWviW6trAS5
u34RsPlybm9vy5c8gKhPj+FwVKvV8O2PgQjPAAAAANAVMm+ppwAAAQBJREFUfR1IfUs+D9mddTnt
qxXCWfok59qlfXm9vbu3br1MVCdacJXZLoxwBrtMePkYBA9vCd6UxZ2BCM8AAAAAAMmitXeDjl9Q
clyhsIKX9vHbN0GCBzPfuiV2d4MLk9Jt7ieb+ycD9YHrCwAAAACQA2Xzfkt1skAe142QZSWRn7sr
DJ4XKT5z7vU/g5BX6oMIz9CHPvShD33oQ18//QTbkYW0D/Shr5H+PPdy1PKbpumNzHznzp0nT57c
vHnz7NmzLr83IIJ0aApNHc4AnzOe/eX92FQjSFP69SdZ0OsLAAAAAJAP5en4LclpAjUxTdPu3SUi
1rt78eLFSqWSwdFR89UBruzTtRwAAAEASURBVC8AAAAANAN+lAxRrRQ6cREAjRC6u++880427m4G
CJcHA8EgwjMAAAAANKNgrm+8iDXB+WXizQp3T9a2kZaiSZKCVREgh9DdrdfrhXF3A1CoyiPCMwAA
AABAIijUwksNmVl83k5amSg7qVovpaVcAAig8L27kuBekwGuLwAAAAC0oTzeVPByL/zaKn4/iRsS
yYfPFa6n6soQw8gud708VwpkD9xdEA9EeIY+9KEPfehDH/p66KfkTeVuH9ecPb+hy94MLN3WF8aS
tSzB4jF2ovdwweUP7o6W1/yf7d1PiCZXvfDxU5eoiSIm3GAmK2dw4VzokQgudDXd10VmyCJKxD8H
LKfYAAABAElEQVTvJpEMr1eySAYmJDGL7ix8x5DmjiIykTthxs0VxEsECRlB3+6AYORdGN9ucO5C
ur0urkquMwq+Gd938byL6q4+T52qU+dUnf/1/RDIPNX1/OqcqlN/fnWqztMX3wfilxF/f3//2rVr
X/rSl06cOLG2tvbGG2+cPn16a2vrRz/60dWrVx977DFPeW8u66fU+G7R6wsAABCfmlXKKWtnb23t
1KmVwd9EtbploAyfsyJ3Pjt5MxkwYdK7m1fqhbhIfQEAQOqKH3zYJGXV/Gro6IX2pazyxN3d3apa
0ax8J89LA7UbN2406e7dd9+9urr64IMPXrx48dixY7GLhuwxwjMAjSJRpwAAAQBJREFUAEhUtPGB
sax16yGDn1Qh/86Kmu7WIzOT7maJEZ4BAACskLyko9W3zHbBdGq6+/DDD1+6dIl0F/6Q+gIAAGAA
6S6mI91FXIzwTHziE5/4xCc+8ZOLL3f55lh+4hOf+LUf/ehHL7/88he/+MX777//M5/5zK9+9auH
H374l7/85a9//evLly9/4QtfmJj35r5+iB8Svb4AACAtPOoMZE3u3b3rrrsefPBBeneRAlJfAACQ
EPJeIEd9DzO//fbbKysrsUsHCMEIzwAAIB3kvXCDlhTEW2+9tb29/Ytf/GJ7e/vYsWPNyMx33313
7KIhHkZ4BgAAAJC7Ot2te3ePHz++ulUsSvwAAAEASURBVLr6+c9//vLly6S7SB+pLwAASAIddUCa
1HT30UcfvXr1Kuku8sIIz8QnPvGJT3ziEz9C/Ko6+k9o8940y0984pcd/6233vrGN77xmc985p57
7vnSl77029/+9tFHH93b2/vlL3956dKlT3/604Z5b6nrh/hh4rtFry8AAAitlejS3wukgN5dlI3U
FwAAREbeC8Ry48aNn/zkJ6S7mANGeAYAAEHRxwvvaGRaau8uIzPDGUZ4BgAAABCLnO6ePHlydXX1
y1/+8ve+970777wzdtGAQEh9AQCAR7zWC8Ty5ptvNunuAw88QLqLmWOEZ+ITn/jEJz7xiT+sGYrZ
Kn6d6DaVCsqJAAABAElEQVRfHJf3ZrF+iE/8ROK/+eabX//618+ePXvXXXedP3/+z3/+85NPPnnz
5s2f//znFy9ePHPmTCvvTa38xCe+P/T6AgBQILedq020zrCnTq20+nUb9PcCAai9u08++eSrr75K
7y4gI/UFAKA0TV+rk1RTH6eqxM7OblWtaHJjh4UBUCPdBWwxwjMAAKWRO2nF5J8OUl/WbTQ5rdtk
G5iq0Laoprv1yMyku0gIIzwDAIAw5KuOiQlw5xc7n2Em7wU8oXcXcIXUFwCALHXmpX3PG4vl3lp5
ulWovgjq1wGMJqe7n/jEJ06fPv3MM8+8/vrrscsF5I0RnolPfOITn/jEzy9+Vf5HIQAAAQBJREFU
nZfWfa19Ay+34tfzy//V35VDteL7K78V4hN/DvG3t7c3NjbqkZmfe+6527dvP/PMM++88863vvWt
jY2N1dVVJ0tR5bJ+iD/P+G7R6wsAQEKaDljDp5RbPbpWXa/qk8zj4gAYZ3t7u+ndrV/cpXcX8IfU
FwCAVLR+Q6ivO1ftknWVqZLxAr6p6e76+vrW1lbscgHlY4RnAICp/VfOnjh3XQghxIWtxUurQggh
tp+u1jYPZqinSrMdTX/iNx0TXxKHXz5zZe/1x48LJeLSH7IxZVipwRduGU0KGJbYfqKmu6urq/6e
YQZiSniE56Dv+gIAMrb99Ilz18WFrcVi64LYXCMZqOoAAAEASURBVDv7yr4Q+6+cXdsUF7YWC2nq
8cdfXxzYu3JGCHHhodWuieLpam3zzJW9xWLvijh34uwr+0IIIfZ/syvEmSt79cxZ5r2tN2kH38WV
vwigDPW7u2tra1VVvfDCC0KI9fX1xWKxtbXl9d1dAH144BkAYGb1pcXiJSGEEPsnzwhx/ca+EKuP
v754/PDvD10Qm5s/+On+44fZ6v4rXzl3XVzYOugfbk08/puzQpz57KeOCyE+9dkz4lz91f2f/uC6
EBc+fDxQtfzp/BGgPn0zqI89kx4DyeJhZiBljPBMfOITn/jEt42/f+N63ZW7PPU3u0KIlaOcdfvb
566LM1eeWJXjH033rm3XAAABAElEQVTcv3H0/PPxD68cJNMHkzfXqqqqqqe3fZTfmnl88wy2mb+q
BuLLYzKPk876IT7xy4t/9erVunf3rrvuevHFF++8886LFy867N3Nff0Qn/jpoNcXAGBl++lqbfPo
Vd+j6d8+t5wQb7+2edire3RilCYel3qJt1/bFELs/mZfiNc2D1/w3X66Wls7ezKfd31tn1iWBrVa
MfwiXb5ACpre3TfffPPjH//4Qw89dPHixU984hOxywVAh3d9AQBWVl9aLLbEWlUdvpsrhBBi++m1
TbH0bLOU5EqzyRNXX9q7cub6uRNVVb24e0YKf/CC7+pDF4S4/oOf7oscDOa9mrd/d3Zy2NqAdgAA
AQBJREFUumsOzNDt27evX7/+3HPPffKTn5R7d995553Lly8/++yz5L1A+hjhGQBgb/tghKo6R62H
dF4ei3l5Dt3Eo7+0+5L7Z0/NiBGqGNQK8MjFDnb79u3mxd233nqrGZmZLBfQSXiEZx54BgAsa36b
aCjpPHit93Dk56V5lRd/eyce/eXMSc3CikPeCySoM929dOkS6S5QAB54BgAsa36GaDnv3X/lbHX4
lPP2a5uHr/XWTzqfufLE6lKQ/RvX1Vy2NXH76cOA+z/9wXVx4ZnHj8sTD5byTIldvgDSIT/MfM89
93zzm9/8wAc+cOnSpXfeeef111/nYWagGIzwTHziE5/4xLFJ2hQAAAEASURBVDeKf/zx17cuiPrV
3LXNM1f2XloVYv+VFzeFEAeTq6r1BrA+/upLhwFPnBN1vKUXgJulOCn/FMQnPvELi+8w3S1y/RCf
+InEd4sHngEApo5+2ffQcel3fQdm7ZrYOVdvzDTUI1Q13bx0+QK5kB9mvnHjRv0w8+XLlx944IHY
RQMQAg88AwDQqzUac53oymM1k/cCku2nq5bmQZD6T81vddevUNQf/1f7W4a/6G3g9u3bP/vZz+re
3fvvv/873/nOfffdd/ny5Zs3b7766qtPPfUUeS8wH4zwDADIQJN/hjxTSb+7G2HpQIZaY7XLo7Rv
P12tbR4Nn1ePp1fPuvwt+S9zO0NVAAABAElEQVSj3Lp1a/uee37x7LNy7+7q6ipZLhBCwiM80+sL
AAjn97///YhvNX2tdXdreM3SAdjo+HHu6+e+va3/0vHHn7kgxOaLXeMG9Lp169YPf/jD8+fPf+xj
Hztx4sR3haB3F0ALqS8AIIRr166tra3dfffdsQsyjIeZAV8uXLlyZvO17YG56oz5xv7AbO1097vf
/dCHPnT16tWbN2++KgTpLoCWoMNc7e7urqysEJ/4xCc+8WcV/9q1a88///yf/vSnra2tO++80/br
rRS07vhtJaUOy9+Z8Wa9/onvPP7+/v7+/r75/Ht7eydOnNDMcPv27TfffNM8YMsf//jHD37wg62J
nVtCuwAAAQBJREFUv/rVr27dujU6puyvf/3r+973vgcffPDZZ5+1/Or2a5tCnPnsp443Uz78+DMX
qhdfeWL1U82k3d29zi/v/mZfrB5vTbx161YzVNX+/n79MPPVq1c1WW5q7Yf4xCd+LIzwDADw5dq1
ay+88EKdJKyvr4/4bUy6Xt166623XKVDtToJ7Ey9xvnb3/6mJoF16jU6pvNaHzt27OTJk+bzm5T/
9OnT0wrV9uijj7p6yKJO3Y8dO2b6hc21avPw34ev9h5ZfeLKiye+vb1nsQYPXbt27fz58ybpLgCo
elPf1o83AAAwqMlU5aRXCPHRj350Y2NjdNhWn9jWlqgqsbV1NMPe3meUhQ8AAAEASURBVN7bb7/d
9/W1taWZa53p0AsviPV1oZbUJLX77W9/a9UTKOtMjSb2BHZ64IEH3D5zfuzYsY985CMOA77nPe9Z
X19vTRzsNdUbrHXuvSK+499777128S9sLV5arQerEisfPt7+8/FPffbMudd+emUojPrVxx577LHH
HrMoCQBIekd4ri9fuN0OADBXVWJvb//s2bM3btxwG3l1dVX+uL0tlif02t6uv65Of0CIDzQf19fF
Cy8c/GMc255AE6uGlQRSIY/VfJD8Hvb7yn86GO35IEtujwu9NDD0SFzCArEkPMLzUq8vRwkAwGiH
90yP/+d/br344osvv/zy7du3D//42GIcpfI7AAABAElEQVRxdVzAcX9VSjXwM0WcAQHXjj9++coP
Tpy7fu7b24+3fqdo9YkrZzbPXe/+3v4rL24KceGZ8XkvAHRhhGcAgGPHjh27dOnS3t6eEE8djmt1
raquWQUxyUUHf+ioFUT+kaQW8l7AvfpnisTm2tPb7b986rNnWpM216ratB/1BYA+QVPf3d1d4hOf
+MQnfpHxmySz7mKtKnH//ccWi0t7e3tPPfXUe97zHiG+YvIUtPnP9so/89tZfjnvnfgKT/rrn/jE
TyP+6kuLhZy1rr60WBxMWf7T8cdfP/zD7u699VxHnOa9Ka0f4hOf+DF1D3PVuoLhXjgAwJx81qh7
gD/3uc/9kmbhfwAAAQBJREFU+Mc//od/+IoQry8Wd7by22b+5uFkMbkbVj15cS4DAGDOeOAZADDV
4E3S97///RsbGzdvvrq393v5qeOm57b+r7nraq5Jla3KAwAA5qY9wrM6sDMXEAAAvbhnCrmvuMZp
C5g7rl+BWHIZ4dkcxxMAQC36GYF3cwAAwKDxDzybj0QCAChS/ZRyCsh7AQCA3vjUt/P1Kr3cRxgj
PvGJT3ziN0d+zQ8FTYk/DvGJT3ziE5/4xC8vvlsjH3gGAJStbxBmkcATzgAAALbGpL5c9ABA2VrH
+VZPrzwaMwAAQBaGR3gWXddA9UcufQCgSOrhvXV24PgPIGkcpIBYEh7hueNdX4PGnGAAAAEASURB
VPNjxYjXfQEAies7C8jTuaQEAAB5aae+fVcz6QzjCQAIj1wXAABkzXSEZycXPbmPMEZ84hOf+DnG
N7lx2cTXPPgz5USQ8vohPvGJT3ziE5/4acZ3yyj1rS93eLwZALLTvKNrPjMAAEB5rH/XlwujOauf
e+cOCOKiEY5gkv1yeAcAAAVrj/A8MHclBL/uKGkuJRNcCc43DSO7IhGdA9FDZXvEZpUCKAdHNCCW
hEd4tvtdX555lsmbNbW00Hlu0BrZNZFqlirlWyrR0fYGadpPcwyXj13yXwEAAEpll/qqyIJkpXZG
lVej9HGbaVCR+9p0g+ukuUknfwQAACie9bu+jPCUJRFpAAABAElEQVRZa11fylfh9b878xZ9MuOq
/K2SjI6vKW1nYlbS9o0Yv2/zuYo/GvFLir9YHPznKb6K+MQnPvGJT3ziEz8u69QXfVqZsJq3WI2z
qtcXxHb4H5Nhb+hYA3LB3goAANBnXqmvqwGKDa8vOxNdTZ9w37Ja8/el0PX0Vk+OPOepUysmcVrR
EFLn0wRokNppsHIAAAA07EZ47g4R9nqrlQmoo7Zo5m+N7DK62FZV7nunbnCo1da3OqeYjN3aegO5
L7JV8czngRV1lbKSZSbrp+w1ph4Am+kF1xoArHFYBGIpZoTn0cyPP/rBV/ouc1udmbLOOK0ksJMc
trUIq43VN7NmkJ7OQI0xZgAAAQBJREFU6X2DtQ6OLN1aUF9kOQHmfIHyFNCqNQfA3KsGAADgW4jU
1/ziTO2ZHCQPCGR7Caifs/O3i6zKZlKAif3Phg/EGj6eLSxrxzW3W323PFjJNfNjSGeKWCSaBwAA
gCEH7/qaZ1/mr9pq3mXVcD4CauvfdXy3V5nNgFjyf7a9yoYv5ZqsH/NotvGn5x65j1BHfB/x9e+r
y/vUzs6u1wTY9/rpOzK4OiKluX2JT3ziE5/4xCf+nOO75X2YK/lybWdnt3PoY3XOERYLcerUSqa9
H/VqadZPRhiHyRX67qZr/S5Ucx9nyopt3ZYKprXQqhI7OzmdWgAAAFLjN/XVdFMMXkSqb18bcyEA
AAEASURBVPAOXr9yaZgs/WjS0JvJqlNHILc9AshGH3k6v9X8F2ZDtPJ2bosAAABM52CEZzE0trDJ
twYjcPGXssGtw2A8eoYrMGuDA8W17o+0GozJiOjmY+lNmXPcttAP4OdkEQCAIxxJgVjmOcKzw2MO
h6+smd8Bmac5rIHBgeLkZ5UbVsPXWY1vN2Wdj/665i6eybj0AAAAmCLQjxt1avXwaObhQrAM6tak
N7jIundu5YaPLe5jHXraNM1xz7BDGwAAAE64edfX8BU4dQQwk0FozC8Kcx/BLN/4dQOo47cGBDL5
mZnR7cct4juJP+Jt2LqRdMZ3mCfL8Se+tdv5dc36UZN/eVzq83MgAAABAElEQVR3w9olsn2JT3zi
E5/4xCc+8YPFd8tXry/9GPM0+HJm88yn/FHMpnu/M+03kdr6ab2429qgcmn7moF5dULWuumPDbC2
09maAAAAc+Ay9bUaaQbF0+QPmtF3C24/6o9vZTpus+Z5ZvVPyWr13A6m651fL7i5AgAAFMbNCM9H
4RiQecamb/SCm01JK8ewJHmN+z2iGBNHigYAeMSRF4gl4RGeHf+u78Q36DBztB9/XK3YNB9Unm7c
iM00VwAAgFw4Tn0xZ3mlOiFFv/Us/2SuPAgZAoi+9QEAACACp765jzBG/ADxNT1pWZRf1WQ+0cs/
8eni3d1dt1lcqzzR14/z+G7vwGfS7gAAAQBJREFUMpS3fohPfOITn/jEJz7xQ/IywjO9HIBzIxLX
zpG0rUItZ27tYbqgWZPywAcAAACIzn2vLxfHmKikVygj3gaqFz34u9mGERYLsbPj/q7eHA4Xc6gj
AABA+hyP8HwQlF5fTFNME3JbkdbPCNX64hsOsDzur5Cp64q1BwCRcSAGYkl4hGcvDzxzqMFEasdv
jo3K92lX0z0+cdFcMNjiV80BAAAS5yX1BaZLpxtt3KLDFHjKyFWd3yWFG6H1Ti83DgAAABLECM/E
J74u/ri3jjuTn2DlH52rNy/36uN7knv8nZ1dr++o575+iE984hOf+MQnPvHjotcXeVgsRFXFGWF4
xEIRxPoAAAEASURBVHjIIcs5veO3+TcAAABQKlJfZGNnZ7fJfp0/U1pVQv3xHqulBHjMtclyNcuy
LQYZr0MTfzkZAAAA/ngZ4RnwRE78nOQYcp9nK6D+Y1/ZfOuse2vkZ/bjiFj/AJAEDsdALHMb4Rnw
RM76pj+s29oxB9NpzRBQcc+wbm8HYArWPwAAQJpIfZGZVrIqxo5EpdGZ4npaFgAAAIAAGOGZ+MXG
16SpzWjGrfhNx2lf353c1Wz7YzZe10+ALt/Uti/xiU984hOf+MQnPvHLju8Wvb7Inpz1NR22nXmv
yQPShtkjDxgDAAAAGQna6wsEIPfcyglwM9H50NCJZL87OznddQMAAADa1XxsAAABAElEQVRCYoRn
lKCvD9bT0McRR1SmtxkAgGGcKYFYEh7hmV5flKzp+PV3BuTECgAAAKSP1Bcl6Hu5t+Z8WOYUfscI
AAAAgDlGeCZ+OfE7E0Lz93ujl5/4xCc+8YlPfOITn/jEn2H8SuLqo7oURngGAAAAAMTUegF49Mfm
3+pLxTzwjELwDDAAAACAPozwDGSGd30BABjAyRKIZdQIz83zyfWfpnxsprSW8pdbv+OBZyAznMoB
AABQgCZHbT2lPOWjkFLiVvZL6gsAAAAACC3wQ8eM8Ex84hOf+MQnPvGJT3ziE5/4xI8WvxmWuemw
dfVRRq8vAAAAACAaV8M7qx9ljPAMAAAAzKxn4AAAAQBJREFUACgcIzwDAACgLIzwDMRiMMKzCP6W
r1BHeG4GhgYAAAAyxmUtEMvQ3herw/Uo9aXLFwAAAABQpKPUly5fAAAAAIBXsfpcl4a5Wni2s7ND
fOITn/jEJz7xiU984vuNL13WZll+4hM/3/hDSWWUpLfGCM8AAAAAgEBiPW7MCM8AAAAoCyM8A7EY
jPAcJetsj/AMAAAAAEAYfb91JE+Xe4nlKc231CCdCTapLwAAAAAgtCZBbWWq6nTNX9WZ+x6oDvqu
7+7uLvGJT3ziE5/4xCc+8YlPfOITn/ie9D1QPdDr29kB3aTRnUFN+qytPqod3AAAAACAmZDTw7qn
V9jnhtYPPKfzq5EAAAEASURBVMud0eoj1Po+693d3c5eaasObgAAgD7VC9Id83WuHwAge630sy/l
HKQb4bnzsem+efq+0jndKvVl6GkAAGBoKfXdqP/HVcT8MMIzEIvNCM99+aY+qTSZWU0hExrhubML
u/OvAAAAKjnpBQCkr+/R5db01vu2rb+qQeqPavbbm/o2X2g+es08O59wVutA9gsAAAAAZVCTXnW6
mgP2fatv/ppuhOeFpJki98ea5KLy/LmPMEZ84hOf+MQnPvGJT3ziE5/4xA8T3y3rB57l7Lcz/zbp
szbspO7s4AYAALBQX0hwFQEA89ab+mp6jfUpqKbPWr4rYN5JTcYLAAAAAJhCN8L7KSHnAAABAElE
QVQzAABA+voGuDoY4fngAxc5c8IIz0AsNiM8h/SXW7/TvesLAAAAAEABSH0BAAAAAIULmvrmPsIY
8YlPfOITn/jEzzV+VYmq+7noPMpPfOITn/jzi+8Wvb4AAAAAgMKR+gIAAAAACscIzwAAIFd9YzvX
lkZ4XvoDFzylY4RnIBZGeAYAAAAAIBZSXwAAAABA4RjhmfjEJz7xiU984ucXv3qh0j/trLM82nOR
64f4xCc+8QuI7xa9vgAAAACAwt0RuwAAAAAWxnf2AgBmjBGeAQBATsxT394Rnpdm4uKnRIzwDMSS
8AjP9PoCAIA80N8LABiN1BcAAKSOpBcAMBEjPBOfydBvsgAAAQBJREFU+MQnPvGJT/wZx18e7dmH
vNcP8YlPfOLHi+8Wvb4AACBd9PcCAJzgx42APEz6BUsAgJ7/vl8AQFyM8AykTs54F+vspADmZcpd
P6MRnpe+wDG2FIzwDMTCCM8oWH1RQkoWSN0pwekcwAzwqAsAwCFSXzhCSgYAcCRa0su5DADKxQjP
xM9G7utnRHyr93sTLD/xiU984tsqclyDjNY/8YlPfOInFd8ten0xXnlXJwAAAACKROoLZGjCI3kH
72ZviNERAMAHbqcCALxihGeMtzTy8Eb9P5qQS+qF4NJopaS+ADLnO921HuH54GscG/PHCM9ALIzw
jML0XqwwQEjC6FEBAIu2GW4AAAEASURBVCOcywCgRKS+AAAgNG7GAQACY4Rn4mcj9/VjFd9ojNOq
OuiasI8/AvGJT3ziT4xfH9mKHMNZL5H1T3ziE5/42cV3K2jqC8C95QQ43HcBAACAfPDAMzzgLalk
zK1rBUCasjwWTT6XHQwruM7ZEACSwAjPGGNg5OGDSTSn8fouE/WjlVbav/bGKWJLLY03zoUmkJhY
qe/IEZ6XQowfS/8gAEekKBjhGYgl4RGeeeAZ3vAwLQAAnA2Dq289zPCtcgB6PPAMO5xFfGMN2+pY
Y8pjivTA1FgPCG9ux7S51RcAMsIIz8TPRu7rh/UfN75v+a0fRggnfj7xY8qhzzb37Ut84hMv7Nvx
AAABAElEQVSf+GHwwDOAQtUXrDlctgIAfKmqlVOnYhcCQBJ44BnAzMxyBHJXD2HyyDTMze3R34H6
zvLIE97cWh0AK4zwDDvjRh7mZG9Of9r2MsLzwaRct5HJeOPymjn4a7b1Had3LRmvh44IpL7QSiEJ
cTDCc0fQdsu3OG7P7MgTXrMtFhsHR/55HvOBmBIe4ZleX4TDLxzqpXCZmBfWmANTeqLoxZq9vqN6
4fum/A4F7R8A8kHqiyDqC4WNyKUAMAKPcUK11Crm3AY4uznFLXIAXjHCM/Gzkfv60cTP4rcHc1//
vuW+fqbGrypRVQctWRlaLEALT339lB4fceXeftrxfQxP6HPIO4pStAAAAQBJREFUw9LWP/GJn1J8
t+j1hSlnV65z7h9AOmbTDtO/q4K89LYoOa/YCFKUHM3myGOr9xfaawZrjGMdgEGkvgAAD6pKtIZe
46IfAJA5HsvPWtDUd2Vlhfgh4y/9DMmGWBHJXXRaHT6yW/8m8TO6S53U+k9wvSW1flzFT3A99yly
/WcUH3Hl3n5WVlbEv3ldgl8lrH/i28Z3dzO3ie8pqc59/btFry8ikYcGkQ4f3EsDIqA/FgYyuhWC
0nCMAuACqS8AICAuYQEA6CO95X7w29R0CLnDCM8zii+E3xEOp5LL1lXO3Nd/K34WozrLcl//vsUf
ITzGuMrjuT4W5d4+c48PO7R/yRl9RTUAAAEASURBVPQjlUUEP1dBWa9/4pvH93RW3d3dHYgstdsR
Zch9/btFr2+Z0r3eBZJSaA/kyCOA8uoBACTEcsxnwLuQVxE9rwrCStBeXwDpSvmJAJibvh1DtgRa
HYBx5N8SBwAzjPA8o/hHLO8VJXJeyX395zUCniqR9ZNIaxTKkGyMwBxXIu2z1Pi0tMQ5aT+tX4U4
sljkfv7yLfH9l/h6gwOsrqysDBwDe66rDYdu9T3CefT1n9QQtjzwDAB2SAMA5O7gYnRDmrTRPafv
MgBJmP4Icd9LQzN+ODnBfZzUd8aqSjRjx21I09PZOQs9WCR4IADgVVL3vJGKSOc463NQoedioIPS
2kfzuspkAAABAElEQVTuLxvGs0+5JmTftFfmCM994526iu+Jk/hu33tJ6i2aLNZ/xPi+RR/BOKnW
qGKE8LiS3X8Nt9SIEbyt+C4/4vJ9/VOaWV4fEn+2WP+y0np9OUM7IJ8PNqKVAhDp7dEd5eGe63Tz
WYd5jrOALKTQWni6AXkJutfM50wnhLBct1VVCSEW6svSy9P7ZrNSTurbu4r5YWgkI4VLk7iW3i5L
5wQwsxNS7hJtRWEYt1X1aLM4JQy/i6ACHn8CPVrJERW5k14JzEDme1xVVXU22/yjc3rfbLaKGuHZ
1NgmEn2EtJnLff37HsHPN/cjxC7vibm3/2Dts9gbKNNO3gkeH6y2lMPy+EmCfAAAAQBJREFUjxuJ
1DoOkjFw6z/IL3XbPhFTWOtK8PhD/ERvkgbcKxu5b1+3yun1BZCmcQf31C6MUivPPBWyFQySzzL2
GiTBctAd6/D5tjr59a50UiN4lkSL9bxXQqM6/+S5f/7Gv4i6+3hw7g0hDu+gqI8BLJQpJo8KyN/S
z6+Pv/PITnPXoXnfWjNl3AgHtiU0j9b3XdvHLXYe2an/YbU2kp4yYSwKdQ1PaZP67WsSOf2t07e2
zduhup7rVwz6lr5y6lTnsvTf8jFFrfuUWvTFkY3b622PdZlN0W4Fte76Na9GMGF7rOibc2B/t6yp
6GmrI8+D2qXXwu+Dc56iP9Olc0yQ97i6VOtyXCoAAAEASURBVOZt1fxbbqZU1e6O6Tm3rlfHb14o
TObpm9/8ikKNYPst9bt6tpHV+FOukcxzAXNyG1v6TZNSj2yOrpZNDGZ8i42D20mdZV5ZWZHf2g35
wPNfbv2uhNS3eXe3XpvDizz4cpmpr+ZNZrv1Y89X/IJSX6/vmbtZ/45SX+s76P7fyR9ePwapr/l3
++LIxu31nlpRKseHcVthQtqgcpX62rYZi/YmRTDcX7rXf08KbVEGfXx35hLf8gg88vrHXju+edvr
aeetb3kpf1U1ZyKH14ekvn3xU0t9HZ4rUzk+mPCQ3dSW1ufQzdMm9e1dopS+qjltZ67rKvXlgedy
FDt8V92+M/+FkJ5PAAABAElEQVSdhsX6Io/B30et7aW2t+60PAkods9KU08LZCuExNrGgMVCCGHU
SnI8g+dYZkg4gsW1WF+IDYvdp05rhTJ0c2t632y2Zpz6cmgDJnN2glksmruenLKQ+/HZaL+YXkfz
9AOIK8c9OscyA3Ja6Kj1dpzRXO8datKrnz5FHqnvwUofuoWQ1whj4THCW1yFrX/nd1Xjr58ph/Ig
F0le72THX/895nb/3lN9u9e/0m5HLz3Z9kP81OJ3trF0y08CjJTbpx6tt0vqqa/+NDy3SyIAIXGE
iSzDMVfzbTP5lnyestxeGe7RB6QU4mDN16/2kFQAuUk99V3i4+4Fd0TgWZYXKEBeE4/kJQAAAQBJ
REFU8j2Sp1DyfBOS8qTQHtBH3VPYXonhiqvDhFY6sD7zbP9/F7sALuUxjFA8vteP3/iLRfMrBZnK
e/1LFusLH2eXVNbPYjEuE8j9+JPK+k81vl+Lxe7Ojqc9q5b7+id+o7OdZFT+AuPX1ydjzx1IX97t
s44fpH16PYu5km6vb++6y/Meg1fptzMgM8lcwcg/XhK3JJCpI1BwHAYAIHHppr4D3F6Ykk4DCIi3
xfK1lOIyxjIC4vZKBrieRMr8vDq6u7u7yGek22xT3y6MMKyX6wh1oeL7ltP6ifHbqjmtnwnxR/9I
QCLln21833JfP8R3Gd/+8jSt8hMfwXF94ja+1frMq5RMStcAAAEASURBVP0XlfoCSeEOPaag/aSG
LQLAiDoitPpyBE/9ADGQ+gIYxkU/AASlpk/Iy4KXI5Cf4o82KY7wPHp8sBkOA2O1rkoYoS5n+a2f
ejzAw1EB8yt/XvGl0RcZwXVk/JxHWC1h/RPfR3yzVp1u+Ymvl/NRKxGL9cXOI35/ASTd9jOP+G7R
6ythcIL0sY2Qsuntk2ugJC3WF3md2gHkhGsbhBRjPJd0xEx91fcfgDLM5PABFEY+K7EXAwBQmKJ6
ffMaYSy8BEeQSyq+b7mvH+JPjD8xlYpe/lLj94657Si+IeITn/hzj0/f71h5bN/U4rtrb3ldn6eV
+nKXHQAAADOlfxiVJyXdG8eIAAABAElEQVTh1vwGYIuT+i6luKnd5bIsz1JdAh6SZn2bILU2AyBD
sz6KAkiZ9OzJQp3O9Y8QgmM4RklmhGcXY9wFHoakYxTWtEfqy32Et9yHmcl9/RCf+MXEH/E7AkmV
n/jEJz7x0ch9/RM/pLQeeE7IlPtq3JMLI8n1zD1IIDLtkYE9FACA2SL1HcPo4inJxAx6B1t2XQhx
sO2WtrU0HUBeSHoBFIIrTGCs6vyT5/75G/8ihKiqavC6oNoQQojFxtG/ZQtlijrPwZw5XoLUhxjb
55m1ByZ5/ahrT51HluU69MFyDTtbn8pyD/YOtgtqUguhbUTA+gdmrqpSfgfNAYPUt++aR9V3OOfP
jwAAAQBJREFUFWoeXx9BXxL5uxZl5qierKG9r6qqRYzd8y+3fkevr7FkDqDs6ksm3/scuT655wpj
7LMRSHso6x9AgWZ8HcJRHaOR+gJucCAGkpPMLUsAABBdMiM8u5DiCGYpjfmc4vpxFX/Uem6N8up7
+5a8/olPfOITn/jEJ36G8Rfri51HdvzFDyDr9U/8wEL3+tIzBo+MH/5x3A6TubsBAABmZMJjz1yT
Y4Z44DknHKSMzPjtFySEGyIAgCR1XE9y7YR5CD3C80yTt55Die0IzzNdewAAAFaKH+FZZnCdKeu9
nrRMfcOP8MyVcB4Y4RkTsasDAABgCq4nMXOkvkHINzZ4mAQAAJFhmZYAAAEASURBVACu8LgyYIYR
noPHl8YErkcYbo0z7E8e64f4xCc+8YlPfOITn/i28bW/OqG52jyKn9LvkphLZf0TPwf0+kaS4ZEF
AAAASVN6gMt4yLmMWiA6Ut9kLBa7u7srp061J7OrAwAAwNxiIYTgChJoYYTnJMlva9A/DAAAYGVW
Izy7ZfzOcMgRnskgcpLNCM+Lhb9X5GmyFhiuAAAAAOFxFYpy8cBzwrhbCQAAAAAuBB3hOfcRxohP
fOITn/jEJz7xiU984qcj9/VD/JCK+nEjAAAAAABUPPAMAAAAIEWMFgSHlkd4bl4u7Xm1fcoIzzRc
AAAAhMAIz05oB7sKM8IzGUR+Eh5MJyQWAAABAElEQVThmQeeAQAAAACFI/UFAAAAABSuJ/VdLHw8
JZL7CGPEJz7xiU984hOf+MQnPvHTkfv6IX5IIYa54hl9AAAAAObIIOAcDzwDAAAAUPh5DhSIpWeE
54M/tkd16xvh+eCuTN/83LMBAABAMIzw7JD2l19qPkZ4JoPIVcIjPGsfeF50J7RLs9AoAQAAAABp
M3jXV0qADxLdDenfPXMCAAAAgC261uCJ8bu+8rP+Y5/7z32EMeITn/jEJz7xiU984hN/XvHTfuM3
/vohfj48jPBM3y8AAAAALfl50qUpgB9+f9yI5gsAAABkr6dz6+Bqf110/tUiMuCfdoTnSYErIWjK
AAAA7oE83AAAAQBJREFUCI4Rnj2Rk9u+Ndzzmy8yusdKlusIz1NwuAEAAABKYnKFz8uPSJXfB54B
AAAAoEZ/LyIyHuHZhdxHGCM+8YlPfOITn/jEJz7xiZ+O3NcP8RtVVVVdDwvI0yuJ/FH9ijqzoNcX
AAAAgGM89gwbzQvArTeB1enyX5t/y99qEl11CqkvAAAAAL941BkB1Dmw3A+8lBX7GuEZAAAAiIIR
nhPBb77M0KgRng17fft6dFvfbXUC1//2OcIzAAAAgDkj6YWWnLiaUBNaNemVZ2gl0qS+AAAAAIDQ
NEnviEeSO1/9lTHCM/GJT3ziE5/4xCc+8YlPfOITP1r8uodWTVlb05sRm3O75Z0AAAEASURBVDs/
tqjT6fUFAAAAAMSkJr3q9L55OkOpfw3a6wsAAAAAQHiM8AwAAICyMMIzEIvBCM/CZmgrV9ojPFf8
6jQAAAAKwGUtEMvQ3herw/Uo9VVHf84O5Y+L8sdF+eOi/HFR/rgof1yUPy7KHxfljyuv8vOuLwAA
AACgcKS+AAAAAIDCLb3rm1FvdSfKHxflj4vyx0X546L8cVH+uFIv/+BbfwbzpOyo/IlviB6pt58h
lF/H/56Vyv5rthrp9QVcYqw4zBMtHwCA8Dj/Wrmj9Vl+U7lv4Gl5FZvfqGi+1Rdf/jhiEYPx9TPH
LXxrWfK3RkcLWWZ5oa2Afe3HU8sZEb+z/H2sTYtcAAABAElEQVRxWseXdGph2P5HLyXYVuhs/1PC
xmo/6sdx8ZNq/+bxQxa7c3HN9OmboG8RzmvUN1KI1xPWuKL2LbEVx2SPMAkbrBXp20+Y07H6cUT8
zvI7iTz1QqKZ3sxcT+n8KAdpXdx3ztaZACwWvcvqjDZ9tmXx17nxcj1dP7QiaIKMq1orbKzrT3/H
B9vy964BH3uf+jHubAZ6f9xIzmGmnLoa8hZdSKNJd34U9vtwX3xVa/fubFutib4LLy96sGqGoYKV
ubPwmjLXSzcPa1WR0e1TmLV/MXZF+a6FPv6IAgcufxN8elFborQf9aNcntzbv0n5gxW7c3Fqjabz
XaO+0vo+YTk5GGSaEAAAAQBJREFURGjW+ZT4ISvSWfLBIhkGD3z815ff3/HHaNeTr1yr6igv7fzY
usyVitU7W+c1eue3+qZPnG0y9+vcQOfx3zlPVWuFjXX9OXpbmF+/jTv/Hv3Bx94XZrdyuvctPfA8
5Zqp2RjVoXGhfGu1A7kZtWoRvWyqvtKqH6MY0X6SajlO2r/6MTVNK2q1N7X9B65FX/s3L7D675D6
0o8+6trOq/3HPVoO6mtOzTWKWv64xyJNaeV50jlhqTrXeee1Wmo7r+jq4Mr6dDxYfuHt/GuyaDtT
cksnG2LaLRX1gOP8bDt9nRt+Pfzp2H1zOgwr/yPp9t+zlNY/fHF9Z2dMAVxrP/AsLbFOcUcAAAEA
SURBVKv71oI8vXVbovlH3+2Kvomd6qWMuBpr3XcxX1zrCmNwHn0080XbBhfKOtd81/cKNyxnn3Ra
jlqwvgNKFu2/Kb95hL7qdMY3KYnV0kecLVp3W/X7QtwdwVCC7X9inMDF1rfeEUE0fzWJI7w1pOgn
LCutHbO1mRLceTM9Hdu2fx9nLlPOr6fr4ulj1p1FCXB7tvVhyvWDwz3aipqNWy0l7rYIegXudu8z
3K2S2fuEJvUVUjvonC6GLhFU5q1HXcSI+NOvgTTBNcYVXizfxRn8osk6D1DmiUt33nKEu+0+2P7l
4pkE9F0LzcWlGlyd3qrFxKP/uPL3LcikwPrI4duPQ+F6A/Q9AAABAElEQVTL7zaHNOF8cZ3NqVru
YBlxiM6lIUVsM32LMN9hzcOqS7H9ima55gVwezoWk4//wqz8Ps5cRjNbXXkbzmz49GMzm5WxeYLh
AWfi2dbHQWbi9YOGp6pNzHudlGHKcp2fL9zkvbZ7n5PZOr/llC71NWeyqXxfAZjf5uzMEJwEn8Kk
SPKfTE7GcW8ZmpdQf9BMKgnplEITcpjq+Ig/aPQuOXjGTb/96GVa/sDF7rzv2VmMzvRgxCLCSPaE
NcKI7DdWRbI7HZu3f/Uroc+/Vlfeo78+cSnuoo044KS5/2pEPx0nkvemw03eO/rryex9fTqGuWo1
Ys2tnfpPi65HoNUvyt9dwQsWzAAAAQBJREFULBaL5QfqWh9bAQ1p4svUArcKoL+n5anwhvXqrEJf
ZQOXubP9tGJ2lsEwsklFNNt9XPkH4/ho/+NqYdj+5aJ21mJEfIdboc9ggTt325Al72w/6ilZXZZh
5JDl1x9SDMsfuMGMPoi1KqKpl9cadTaYVnnUU0BTktEHf1cr3/zr6hKj77yif/1rytOqTmchg1XE
pP37Pv6YNoNmnqoS1eFjkPVSWh/7rnrV2ZrpnctaLJbmbM2mL4PtbAYGt6/7dW5WJP3xvxHmdGxV
tc7LsFZRU2n/Q4V3fv5d+oPzvU+Y7VaGs/nf+0Qr9VVbs/oFk4mGX9R8a0TrGYxvVcLBGrktvArn
F+UAAAEASURBVGFkq9lCltk8oEkZpqx8zaIHOWn/hhUfXJxtLQzbv2Y2fS3S2Qp97cQw4OAiQraf
3Nu/q2Nm3+LMjTtO6te5ejE3LrihWCcs/aIN2a7/6ccrk49WRl/bmMwWq/GYL8XJ8ceo2OqlqnqN
azLziNk65zSZzTbaIZP2n8LFm34RJgXzcTo2r9r0/TRc+zcoWF+oKeffAz72Ps3HqHufhpsHngEg
Llc3vwHnzywAwHxwOkbK3Ke+NHcA4XHkgSu0JcAx9qlDczi8zKGOOWFzLPu74VkAAAAAAMgZqS8A
AAAAoHDVn2/+R+wyAAAAAADgEW+iAwAAAAAKN35saAAAAMwKXSa8sHJ8AAABAElEQVQyw5+HBZCI
O84/ee75r16IXQwAAAAk7d77TsYuQnK+//3v/+Ppj8YuBYBh73r3exnmCgAAAABQuPmmvl/7H5ux
ixAU9S0b9S3bHOpLHcswhzrK5lZfYA5tnjoWbL6pLwAAAMAru8BM3DHiO/J9gue/eqH1UZ2hniK/
Udx8HAylLrozTufHiVq3Q+riqYvrLPPc6qtGMPl6Z4Rg9ZXLrN9wZWzizpp2bnS1wNlVtgkof3TS
pFtz6quc0f7bTO+rZl9jUKeE3KzmGyWjCqpVMD+W5l5NtcCtKX1fTPlc4+pANOI81QoSrMqtNHKx
WFTV0u+J1B/l2VpDZ3X+qZ7Y+tj5siRu/QAAAQBJREFUdcMZ5MLo6uPIlOsN9YuGp+9WAdK/3hD5
HMem7JhZ1HH6tZ/Vsdr5KaaPderbuU7VLaTZZrahzAtmPrMhwwIYlrns+pqXf1zj9lFfc8Vs4pa+
A3EzJffKOm/S4451qtT2XzVxUucZwXk1R2+UXCooph1Lc6+myabM8Vzj9lrC+dd9VNkwmZTz2M5/
j/i61QzmRQ3GcDtOOX2rkrreyOg4ZqKwOppf+/k+Vo9m98Czj/u+fdRbRBohC+ZJ1vX1XR5P8euw
VmveauYp3/VRZU0B+o5l+VZ2Iq9FSrC+es3WtE3v3VbT33pLpIKeYjYKqGam55opfJ+nUqtyX45a
T2/1FZ75YdwAAAEASURBVDf6pnfOUB1qPspL6fz3dBO3o9fTd17XG4kcx7zumInUcYRxJTfxbz98
w3xm/UD0Yx54Vo3rrX5+VDe32m78bWy3vfBzq6/oKnxrorqgkPV1Lv1N3FeAcT0M6VfWX5M2DJj1
/jti0fKUYMUIUPEUdlL9RCeFSaeatgtN/FwTcd/sLIY8xVORmrwxtT5VYdYVnIvpvbtZXG/YLiL8
QgOLWMdx134NzbFaE80q763de9/Jt/9wo/NPI1PfVrXV3m3D9TKxW7xZivwPh9ve9up2cP7Z1tf8
WyHr60P6m9hhwMQrK1w06YnHukz3X3UefcsJvFmnn4ASr6BhAQYXmn41nV+rVEKIAAABAElEQVRL
TPxK+vumq2L4rrJhShklQ9Z05zavJSeYFTs5fed4vZH+cWy6vOo44tpP/a4wPuKNyHtrfdnvyNS3
dU7qmyGMKdvAYQE0a8PH4gT1neZrh49k+Ag+UchNHL3i0duz0DZp58e66PU12X+nF8xrNadvlMQr
6Er61eRaQi2AvDZ8n6eiV7lOLwcfLa5nkB9RHp2Xtl4qHhfElqft6CRO+tcbCdbR+QZNsI4Fs3vX
9/kJ7/7ZkjdesIVOMXHlZF3f6XV3VCg7z3/1QvOf4VemHFMS2cTyxtJXp4DKWnHVpLOo7/SDefhq
hjwBiUjbMXAdRW7VzPRcY6VVx4nnqSyqLL+IOUzpYAAAAQBJREFUq3mbt6H+dTChtRo6y0eXr5Pr
jXGn7+KvN0Sk81HIC0iRyb7c1NHhueyRT58e90VnDzx3Vmawz1o9lIvlrajuoinctFBPP51llqd8
revF9+LrK3o2cXb6atH3LEprzvQ3sUpTiwIq67BJtwImUkHZ6MqmXKmWcRslowqKCcfSrKtZM6lC
jueaKQcilfl5KqLWDwvpf8pILCecgzOrS+mbR51hcECsYKZvR5PTd1JMCpx4FTTMN2gudZx47efw
WP3Ip0/bPvbcl/cKIarzT55LfNULb68YJVtx6ptmTIecFy/l+s5t+86kvsW3YbZjIgEdmsk2lTkv
3r33nUztJdiWiRi7oJIAAAEASURBVH22tl+vqur73//+P57+6Ogl+jaHfZw6phAwC+9693vtHniO
Ym7bhvoWb1ZVnlVlxWzqW3w1i69gbSbVrM2qsrUZVjnB4animkMboI6wkkHqO7eNTX2LN6sqz6qy
Yjb1Lb6axVewNpNq1mZV2doMqzw97y0sc55DG6COsJLHA88AAACIK/0HngNL/4FnAI08HngGAAAA
AGCKkb/rCwAAgLlJZIRkABih+vPN/6j/9f/+7/+JWxQAAACk7H++8b9jFyE5PPAMZOFd734vQ+EB
AAAAAAp3x3/98d9jlwEAAAAAAI8Y5goAAAAAUDhSXwAAAABA4Uh9AQCRbW+98fcf/EhYirt+AAAB
AElEQVTsUmSP1Wil1NVVZL0Kq1Rh1amVUakyagENUl8AAAAAQOFIfQEAAACg7Z8unvyniyen/wOJ
CJH63nsfmxwAAAAAMjAifWt9Jc0E8A6hlOztP9ww/PK9952UZ259TEpfHVMuMwDMVn3Qlo/VVh/f
/sMNzRmqc35NMWp1TPmvfVPU5bbiDNffnWbRreprpgxeFZjEHD2/1+AmrL4+eBWhNrzBorba53S2
V2u2M6gf63+42iLjCmkyp3lR9dvRFfMDxZRKaXZwt1fFrZU2WCO1MJriBavFRC8/57ckg3ufyTyD
TdpkKbm4o/5fjkW3pTm/AgDQ0nn91JrSXEoOnkaj3HJV246xCAAAAQBJREFULz1NpgjtVYFhhHHz
ew1uYsTFuuEMhkWNftVuVanOj263yESa6pgXVb8dHRbVPJk3CdJXqc4cRh/WN/2u3UyRPyZYC1mT
8f7rykkhxH/b9dLsB/c+k3kGm7TJUjLS+8DzvfedrP9rPgrj9tT6bmuiPog6W2vRahB1/sGl1LLb
WgAwH01naWd2pHalmp+h1K+XKoXTnI8yeNp2rZYmN5LOJU7sO3XylSmcVEr/cTCgQ7bVGddp7Kk6
fZveU6XUhQZre2qNTPJeYdYhGT0Te/m5G3XS+68rJ+uk16vBva9v4iB5TY6IMCIpC+ag11e9gDC8
E6lvwX3HC33T1Cxaf69CH1t5meIAAAEASURBVLlVx76lAwAgljMf8wfD0mR7Rei8mve6fog3cSYr
PGQDc3LpadstaZLPRKdvmfqMNMHq1GyL52nTNFfpg/Gd7AgRG1iYPl5D0RtnZ9qczu5v8cDz4L0E
/c3RKfqeamimmGS/iaxxAIAhk2umcTObF6D+RxN5dPyIObPtajG8oSzPP3je19xDHyH8OpzY79GX
PmkamNvG3Hkd5aNScuTA3XHj4stF7WzJnVV2254HizfuW/onXNSL587pzukv0W13hFi1qCWV8Tb0
jVNtDyYHcPP500lx+9zhI2jIfabZwPW/Wx/9FQMAEJ76CsyIzszAl0e1WKekMHVU+2pmLsG+junl
T2jdAAABAElEQVRGVyqjldBqyWVsx8Hds7xqeq1FmhmvOU3XuuEBXDO/j3vQbvn9caPBNTjlHKl5
gDnlNQ4AMKcez+u7nG8vD9bS/Mmk+7Hv6+UZdwnS10dktTh/D4J5iimU9tNZnSgF88RHpQYfzfPH
tjrjeq7CtD3bxdlWKthGURMhhyswcIoV+D3eEWx31dbac3VLy7YbObDuXt+3u94/MaT5rmFMzWxq
cP1Hveb2/xwugABgVt5WxsHSzNx57uj8+mBMq+UG0CqMeho1mSLr/KvmYSur+NMLM+UCxvbrVlcR
09d8GLaXRq35Nc2jNdFVUfUxNdWxbcmabzlhfuhwXqm4DHeEWBftWU9P/QAAAIBJREFUKffxmu99
6o089WTXd2fEJEJLU5LoBzRVFawonY11+i0HAEDutrfeeOTz//2//vjvsQuSN1ajlVJXV5H1KqxS
hVWnVkal1Fo0Ge/Ef0SozFhl52J+H3jWK3vNAgAAAAAS4WWYq06dT2WYzAYAAAAAgTUdthP/kZGy
c7H/D/TDaqUYr0cmAAAAAElFTkSuQmCC

------=_NextPart_000_0003_01C7F554.8A3510E0--