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 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 X-Yahoo-Profile: lorenmorlan Sender: MetaTrader_Experts_and_Indicators@yahoogroups.com MIME-Version: 1.0 Mailing-List: list MetaTrader_Experts_and_Indicators@yahoogroups.com; contact MetaTrader_Experts_and_Indicators-owner@yahoogroups.com Delivered-To: mailing list MetaTrader_Experts_and_Indicators@yahoogroups.com List-Id: Precedence: bulk List-Unsubscribe: Date: 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

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

__._,_.___
For archives of Experts and Indicators from the MetaTrader Experts and Indicators Group
See http://www.forexmt4.com/ or http://www.lightpatch.com/forex
Recent Activity
Visit Your Group
Yahoo! Finance

It's Now Personal

Guides, news,

advice & more.

New business?

Get new customers.

List your web site

in Yahoo! Search.

Sitebuilder

Build a web site

quickly & easily

with Sitebuilder.

.

__,_._,___ --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--