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<dataEOP><pole type="prediction"><X>0.0990</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.65111</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57180</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1009</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.65179</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57181</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1028</X>
<Y>0.4548</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65259</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>09</dateDay>
<MJD>57182</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1047</X>
<Y>0.4549</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65348</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57183</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1066</X>
<Y>0.4550</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65443</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57184</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1084</X>
<Y>0.4550</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65538</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57185</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1103</X>
<Y>0.4551</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65627</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57186</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1122</X>
<Y>0.4551</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65703</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1141</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.65763</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57188</MJD>
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<dataEOP><pole type="prediction"><X>0.1160</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.65806</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57189</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1179</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.65834</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57190</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1198</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.65853</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57191</MJD>
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<dataEOP><pole type="prediction"><X>0.1217</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.65867</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57192</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1236</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.65881</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>20</dateDay>
<MJD>57193</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1255</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.65898</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57194</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1273</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.65919</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>22</dateDay>
<MJD>57195</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1292</X>
<Y>0.4538</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65945</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>23</dateDay>
<MJD>57196</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1311</X>
<Y>0.4535</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65976</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>24</dateDay>
<MJD>57197</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1330</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.66009</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>25</dateDay>
<MJD>57198</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1348</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.66042</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>26</dateDay>
<MJD>57199</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1367</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.66074</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>27</dateDay>
<MJD>57200</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1386</X>
<Y>0.4521</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66100</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>28</dateDay>
<MJD>57201</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1404</X>
<Y>0.4517</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66121</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>29</dateDay>
<MJD>57202</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1422</X>
<Y>0.4513</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66134</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>30</dateDay>
<MJD>57203</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1441</X>
<Y>0.4508</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66142</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>01</dateDay>
<MJD>57204</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1459</X>
<Y>0.4503</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33854</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>02</dateDay>
<MJD>57205</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1477</X>
<Y>0.4497</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33848</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>03</dateDay>
<MJD>57206</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1495</X>
<Y>0.4492</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33836</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>57207</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1513</X>
<Y>0.4486</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33811</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>05</dateDay>
<MJD>57208</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1531</X>
<Y>0.4480</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33773</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>06</dateDay>
<MJD>57209</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1549</X>
<Y>0.4473</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33721</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>07</dateDay>
<MJD>57210</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1567</X>
<Y>0.4467</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33659</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>08</dateDay>
<MJD>57211</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1584</X>
<Y>0.4460</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33596</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>09</dateDay>
<MJD>57212</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1602</X>
<Y>0.4453</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33538</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>10</dateDay>
<MJD>57213</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1619</X>
<Y>0.4445</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33490</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>11</dateDay>
<MJD>57214</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1636</X>
<Y>0.4437</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33457</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>12</dateDay>
<MJD>57215</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1653</X>
<Y>0.4429</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33438</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>13</dateDay>
<MJD>57216</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1670</X>
<Y>0.4421</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33433</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>14</dateDay>
<MJD>57217</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1687</X>
<Y>0.4413</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33437</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>15</dateDay>
<MJD>57218</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1703</X>
<Y>0.4404</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33446</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>16</dateDay>
<MJD>57219</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1720</X>
<Y>0.4395</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33455</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>17</dateDay>
<MJD>57220</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1736</X>
<Y>0.4385</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33461</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>18</dateDay>
<MJD>57221</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1752</X>
<Y>0.4376</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33461</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>19</dateDay>
<MJD>57222</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1768</X>
<Y>0.4366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33456</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>20</dateDay>
<MJD>57223</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1784</X>
<Y>0.4356</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33444</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>21</dateDay>
<MJD>57224</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1800</X>
<Y>0.4346</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33429</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>22</dateDay>
<MJD>57225</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1815</X>
<Y>0.4335</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33411</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>23</dateDay>
<MJD>57226</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1830</X>
<Y>0.4325</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33393</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>24</dateDay>
<MJD>57227</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1845</X>
<Y>0.4314</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33378</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>25</dateDay>
<MJD>57228</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1860</X>
<Y>0.4302</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33367</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>26</dateDay>
<MJD>57229</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1875</X>
<Y>0.4291</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33361</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57230</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1889</X>
<Y>0.4279</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33360</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57231</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1904</X>
<Y>0.4267</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33361</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57232</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1918</X>
<Y>0.4255</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33362</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57233</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1932</X>
<Y>0.4243</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33357</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57234</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1945</X>
<Y>0.4230</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33339</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>01</dateDay>
<MJD>57235</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1959</X>
<Y>0.4218</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33306</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
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<dateDay>02</dateDay>
<MJD>57236</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.4205</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33255</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>57237</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1985</X>
<Y>0.4192</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33191</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>57238</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1997</X>
<Y>0.4178</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33121</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>57239</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2010</X>
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<UT type="prediction"><UT1-UTC>0.33052</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2022</X>
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<UT type="prediction"><UT1-UTC>0.32993</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2034</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32949</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57242</MJD>
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<dataEOP><pole type="prediction"><X>0.2046</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32920</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2057</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32905</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57244</MJD>
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<dataEOP><pole type="prediction"><X>0.2068</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32899</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57245</MJD>
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<dataEOP><pole type="prediction"><X>0.2079</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32899</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57246</MJD>
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<dataEOP><pole type="prediction"><X>0.2090</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32900</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2101</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32897</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2111</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32888</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2121</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32871</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57250</MJD>
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<dataEOP><pole type="prediction"><X>0.2130</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32848</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57251</MJD>
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<dataEOP><pole type="prediction"><X>0.2140</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32817</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57252</MJD>
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<dataEOP><pole type="prediction"><X>0.2149</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32783</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2157</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32747</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2166</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32712</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57255</MJD>
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<dataEOP><pole type="prediction"><X>0.2174</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32680</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2182</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32652</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2190</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32628</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2197</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32605</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2204</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32582</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2211</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32552</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2217</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32511</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2223</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32454</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57263</MJD>
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<dataEOP><pole type="prediction"><X>0.2229</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32376</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57264</MJD>
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<dataEOP><pole type="prediction"><X>0.2235</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32279</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57265</MJD>
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<dataEOP><pole type="prediction"><X>0.2240</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32168</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57266</MJD>
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<dataEOP><pole type="prediction"><X>0.2245</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32053</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57267</MJD>
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<dataEOP><pole type="prediction"><X>0.2249</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31943</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57268</MJD>
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<dataEOP><pole type="prediction"><X>0.2254</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31846</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57269</MJD>
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<dataEOP><pole type="prediction"><X>0.2258</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31765</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2261</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31700</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2265</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31647</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2268</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31600</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2270</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31555</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2273</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31508</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2275</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31454</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2276</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31394</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2278</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31325</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57278</MJD>
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<dataEOP><pole type="prediction"><X>0.2279</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31250</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57279</MJD>
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<dataEOP><pole type="prediction"><X>0.2280</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31171</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2280</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31089</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2280</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31008</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57282</MJD>
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<dataEOP><pole type="prediction"><X>0.2280</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30928</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57283</MJD>
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<dataEOP><pole type="prediction"><X>0.2279</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30852</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2279</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30781</UT1-UTC>
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<MJD>57285</MJD>
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<dataEOP><pole type="prediction"><X>0.2277</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30712</UT1-UTC>
</UT>
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<dataEOP><pole type="prediction"><X>0.2276</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30644</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30572</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2272</X>
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<UT type="prediction"><UT1-UTC>0.30491</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30396</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30282</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30147</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29993</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29829</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2252</X>
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<UT type="prediction"><UT1-UTC>0.29663</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2248</X>
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<UT type="prediction"><UT1-UTC>0.29506</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57296</MJD>
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<dataEOP><pole type="prediction"><X>0.2243</X>
<Y>0.3198</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29365</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2238</X>
<Y>0.3181</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29241</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57298</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2232</X>
<Y>0.3163</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29132</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57299</MJD>
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<dataEOP><pole type="prediction"><X>0.2227</X>
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<UT type="prediction"><UT1-UTC>0.29034</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2221</X>
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<UT type="prediction"><UT1-UTC>0.28941</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2214</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28848</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2208</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28751</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2201</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28649</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2193</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28540</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2186</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28425</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2178</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28305</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2170</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28184</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2161</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28064</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2153</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27946</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2144</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27832</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2134</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27724</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57312</MJD>
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<dataEOP><pole type="prediction"><X>0.2125</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27621</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2115</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27521</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2104</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27421</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2094</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27315</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2083</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27199</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2072</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27067</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2061</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26917</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2049</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26747</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2037</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26563</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57321</MJD>
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<dataEOP><pole type="prediction"><X>0.2025</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26371</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2013</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26181</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.2000</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26003</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1987</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25840</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1974</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25693</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57326</MJD>
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<dataEOP><pole type="prediction"><X>0.1961</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25559</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1947</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25433</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57328</MJD>
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<dataEOP><pole type="prediction"><X>0.1933</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25309</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57329</MJD>
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<dataEOP><pole type="prediction"><X>0.1919</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25183</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1905</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25053</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1890</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24918</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1875</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24779</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1860</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24638</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1845</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24497</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1829</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24361</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1814</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24231</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1798</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24110</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1782</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23998</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1765</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23897</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1749</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23804</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1732</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23715</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57342</MJD>
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<dataEOP><pole type="prediction"><X>0.1715</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23626</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1698</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23530</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1681</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23423</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57345</MJD>
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<dataEOP><pole type="prediction"><X>0.1664</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23302</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1646</X>
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<UT type="prediction"><UT1-UTC>0.23164</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1629</X>
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<UT type="prediction"><UT1-UTC>0.23013</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1611</X>
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<UT type="prediction"><UT1-UTC>0.22852</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22689</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1575</X>
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<UT type="prediction"><UT1-UTC>0.22532</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1556</X>
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<UT type="prediction"><UT1-UTC>0.22387</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22258</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22145</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22042</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<UT type="prediction"><UT1-UTC>0.21945</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1463</X>
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<UT type="prediction"><UT1-UTC>0.21848</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<dataEOP><pole type="prediction"><X>0.1444</X>
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<UT type="prediction"><UT1-UTC>0.21748</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57358</MJD>
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<dataEOP><pole type="prediction"><X>0.1425</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21645</UT1-UTC>
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<timeSeries><time><dateYear>2015</dateYear>
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<MJD>57359</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1405</X>
<Y>0.2386</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21539</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>57360</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1386</X>
<Y>0.2381</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21434</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>57361</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1367</X>
<Y>0.2376</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>57362</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1347</X>
<Y>0.2371</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21224</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>57363</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1328</X>
<Y>0.2366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21120</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>57364</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1308</X>
<Y>0.2362</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21025</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>57365</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1288</X>
<Y>0.2358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20939</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>57366</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1268</X>
<Y>0.2354</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20860</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57367</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1249</X>
<Y>0.2351</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20788</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57368</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1229</X>
<Y>0.2348</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20727</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57369</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1209</X>
<Y>0.2345</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20662</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57370</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1189</X>
<Y>0.2342</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20594</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57371</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1169</X>
<Y>0.2340</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20516</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57372</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1149</X>
<Y>0.2338</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20429</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>57373</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1129</X>
<Y>0.2336</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>57374</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1109</X>
<Y>0.2335</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20217</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>57375</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1088</X>
<Y>0.2334</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20089</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>57376</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1068</X>
<Y>0.2333</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19954</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>57377</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1048</X>
<Y>0.2333</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19828</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>57378</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1028</X>
<Y>0.2333</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19702</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>57379</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1008</X>
<Y>0.2333</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19587</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>57380</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0988</X>
<Y>0.2333</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19487</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>57381</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0968</X>
<Y>0.2334</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19394</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>57382</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0948</X>
<Y>0.2335</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19300</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57383</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0928</X>
<Y>0.2337</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19205</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57384</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0908</X>
<Y>0.2338</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19114</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>57385</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0888</X>
<Y>0.2340</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19024</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57386</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0868</X>
<Y>0.2343</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18934</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57387</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0848</X>
<Y>0.2345</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18845</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57388</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0828</X>
<Y>0.2348</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18757</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>57389</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0808</X>
<Y>0.2351</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18666</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>57390</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0789</X>
<Y>0.2355</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18573</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>57391</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0769</X>
<Y>0.2358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18478</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>57392</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0750</X>
<Y>0.2363</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18387</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>57393</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0730</X>
<Y>0.2367</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18303</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>57394</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0711</X>
<Y>0.2372</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18224</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>57395</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0692</X>
<Y>0.2377</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>57396</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0673</X>
<Y>0.2382</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18073</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>57397</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0654</X>
<Y>0.2387</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17988</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>57398</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0635</X>
<Y>0.2393</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17894</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>57399</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0616</X>
<Y>0.2399</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17788</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>57400</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0597</X>
<Y>0.2406</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17671</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>57401</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0579</X>
<Y>0.2412</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17543</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>57402</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0560</X>
<Y>0.2419</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17412</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>57403</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0542</X>
<Y>0.2427</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17278</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>57404</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0524</X>
<Y>0.2434</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>57405</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0506</X>
<Y>0.2442</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17028</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>57406</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0488</X>
<Y>0.2450</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16923</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>57407</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0470</X>
<Y>0.2458</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16829</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>57408</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0453</X>
<Y>0.2467</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16736</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>57409</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0435</X>
<Y>0.2476</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16642</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>57410</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0418</X>
<Y>0.2485</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16547</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>57411</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0401</X>
<Y>0.2494</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16445</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>57412</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0384</X>
<Y>0.2504</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16340</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>57413</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0367</X>
<Y>0.2514</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16221</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>57414</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0351</X>
<Y>0.2524</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16098</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>57415</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0335</X>
<Y>0.2535</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15977</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>57416</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0319</X>
<Y>0.2545</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15859</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>57417</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0303</X>
<Y>0.2556</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15744</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>57418</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0287</X>
<Y>0.2567</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15633</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>57419</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0272</X>
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<UT type="prediction"><UT1-UTC>0.15533</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57420</MJD>
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<dataEOP><pole type="prediction"><X>0.0256</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15440</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57421</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0241</X>
<Y>0.2602</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15350</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57422</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0226</X>
<Y>0.2615</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15264</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57423</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0212</X>
<Y>0.2627</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15178</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57424</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0197</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15092</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57425</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.2652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14992</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57426</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0169</X>
<Y>0.2665</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14875</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57427</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0156</X>
<Y>0.2678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14737</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57428</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0142</X>
<Y>0.2692</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14577</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57429</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0129</X>
<Y>0.2706</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14402</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57430</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0116</X>
<Y>0.2719</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14215</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57431</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0104</X>
<Y>0.2733</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14024</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57432</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0091</X>
<Y>0.2748</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13840</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57433</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0079</X>
<Y>0.2762</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13670</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57434</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0067</X>
<Y>0.2777</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13519</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57435</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0056</X>
<Y>0.2791</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13380</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57436</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0045</X>
<Y>0.2806</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13247</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57437</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0034</X>
<Y>0.2822</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13117</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57438</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0023</X>
<Y>0.2837</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12981</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57439</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0012</X>
<Y>0.2852</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12842</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57440</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0002</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12694</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57441</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0008</X>
<Y>0.2884</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12537</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57442</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0017</X>
<Y>0.2900</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12376</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57443</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0027</X>
<Y>0.2916</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12208</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57444</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0036</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12040</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57445</MJD>
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<dataEOP><pole type="prediction"><X>-0.0044</X>
<Y>0.2949</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11875</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57446</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0053</X>
<Y>0.2965</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11712</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57447</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0061</X>
<Y>0.2982</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11556</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57448</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0068</X>
<Y>0.2999</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11400</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57449</MJD>
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<dataEOP><pole type="prediction"><X>-0.0076</X>
<Y>0.3016</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11252</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57450</MJD>
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<dataEOP><pole type="prediction"><X>-0.0083</X>
<Y>0.3033</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11108</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57451</MJD>
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<dataEOP><pole type="prediction"><X>-0.0090</X>
<Y>0.3050</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10964</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0097</X>
<Y>0.3067</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10814</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57453</MJD>
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<dataEOP><pole type="prediction"><X>-0.0103</X>
<Y>0.3084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10659</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57454</MJD>
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<dataEOP><pole type="prediction"><X>-0.0109</X>
<Y>0.3102</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10489</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57455</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0114</X>
<Y>0.3119</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10300</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57456</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0120</X>
<Y>0.3137</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10091</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57457</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0125</X>
<Y>0.3155</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09865</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57458</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0129</X>
<Y>0.3173</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09634</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57459</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0133</X>
<Y>0.3190</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09407</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57460</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0137</X>
<Y>0.3208</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09196</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57461</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0141</X>
<Y>0.3226</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09006</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57462</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0144</X>
<Y>0.3245</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08828</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57463</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0147</X>
<Y>0.3263</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08658</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57464</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0150</X>
<Y>0.3281</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08496</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57465</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0153</X>
<Y>0.3299</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08340</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57466</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0155</X>
<Y>0.3317</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08180</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57467</MJD>
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<dataEOP><pole type="prediction"><X>-0.0156</X>
<Y>0.3336</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08004</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57468</MJD>
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<dataEOP><pole type="prediction"><X>-0.0158</X>
<Y>0.3354</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07825</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57469</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0159</X>
<Y>0.3373</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07635</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57470</MJD>
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<dataEOP><pole type="prediction"><X>-0.0159</X>
<Y>0.3391</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07444</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57471</MJD>
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<dataEOP><pole type="prediction"><X>-0.0160</X>
<Y>0.3409</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07247</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57472</MJD>
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<dataEOP><pole type="prediction"><X>-0.0160</X>
<Y>0.3428</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07053</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57473</MJD>
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<dataEOP><pole type="prediction"><X>-0.0159</X>
<Y>0.3446</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06862</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57474</MJD>
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<dataEOP><pole type="prediction"><X>-0.0159</X>
<Y>0.3465</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06685</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57475</MJD>
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<dataEOP><pole type="prediction"><X>-0.0158</X>
<Y>0.3483</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06511</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57476</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0157</X>
<Y>0.3502</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06351</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57477</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0155</X>
<Y>0.3520</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06198</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57478</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0153</X>
<Y>0.3538</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06046</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57479</MJD>
</time>
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