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<UT type="prediction"><UT1-UTC>0.38851</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38771</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38689</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38610</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38537</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38472</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38418</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38376</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38345</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38324</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38310</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38297</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1001</X>
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<UT type="prediction"><UT1-UTC>0.38283</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38262</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38230</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38185</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38128</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38057</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37978</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37896</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37819</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37751</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37698</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37656</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37620</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37585</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37546</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37500</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37449</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1277</X>
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<UT type="prediction"><UT1-UTC>0.37397</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37347</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37304</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37269</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37245</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37232</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37230</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37236</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37248</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37263</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37274</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37279</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37272</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37252</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37218</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37172</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37116</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37057</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36999</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36949</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36909</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36879</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36856</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36802</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36763</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36715</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36662</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36607</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36557</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36482</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36459</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36447</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1740</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36443</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36445</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.36448</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.36449</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1781</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36447</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1791</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36433</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1801</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36406</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1810</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36363</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1819</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36306</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1828</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36238</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1836</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36166</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1845</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36094</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1853</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36029</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1861</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35972</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1868</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35924</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1876</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35882</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1883</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35841</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1889</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35795</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1896</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35739</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1902</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35670</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1908</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35591</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
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<dataEOP><pole type="prediction"><X>0.1914</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35507</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1920</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35423</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1925</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35344</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1930</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35273</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1935</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35212</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57994</MJD>
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<dataEOP><pole type="prediction"><X>0.1939</X>
<Y>0.3924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35162</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57995</MJD>
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<dataEOP><pole type="prediction"><X>0.1943</X>
<Y>0.3910</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35120</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1947</X>
<Y>0.3896</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35084</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1951</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35050</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1954</X>
<Y>0.3867</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35015</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>57999</MJD>
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<dataEOP><pole type="prediction"><X>0.1958</X>
<Y>0.3853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34972</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58000</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1960</X>
<Y>0.3839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34919</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>58001</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1963</X>
<Y>0.3825</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34850</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58002</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1965</X>
<Y>0.3810</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34765</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58003</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1967</X>
<Y>0.3796</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34663</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1969</X>
<Y>0.3782</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34548</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1970</X>
<Y>0.3767</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34425</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.3753</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34302</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
<Y>0.3738</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34184</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
<Y>0.3724</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34077</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>58009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1974</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33979</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1974</X>
<Y>0.3695</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33889</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
<Y>0.3680</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33802</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33712</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33612</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1971</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33499</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1970</X>
<Y>0.3622</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33375</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1968</X>
<Y>0.3608</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33242</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58017</MJD>
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<dataEOP><pole type="prediction"><X>0.1967</X>
<Y>0.3593</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33105</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1964</X>
<Y>0.3579</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32971</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1962</X>
<Y>0.3565</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32843</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1959</X>
<Y>0.3550</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32725</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1956</X>
<Y>0.3536</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32618</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1953</X>
<Y>0.3522</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32521</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1950</X>
<Y>0.3507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32432</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1946</X>
<Y>0.3493</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32347</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58025</MJD>
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<dataEOP><pole type="prediction"><X>0.1942</X>
<Y>0.3479</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32262</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58026</MJD>
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<dataEOP><pole type="prediction"><X>0.1938</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32172</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1933</X>
<Y>0.3451</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32073</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1928</X>
<Y>0.3437</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31960</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1923</X>
<Y>0.3424</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31831</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1918</X>
<Y>0.3410</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31684</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58031</MJD>
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<dataEOP><pole type="prediction"><X>0.1912</X>
<Y>0.3396</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31521</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58032</MJD>
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<dataEOP><pole type="prediction"><X>0.1906</X>
<Y>0.3383</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31347</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1900</X>
<Y>0.3369</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31170</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58034</MJD>
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<dataEOP><pole type="prediction"><X>0.1894</X>
<Y>0.3356</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30997</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58035</MJD>
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<dataEOP><pole type="prediction"><X>0.1887</X>
<Y>0.3343</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30835</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1881</X>
<Y>0.3330</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30686</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1873</X>
<Y>0.3316</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30548</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1866</X>
<Y>0.3304</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30416</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1859</X>
<Y>0.3291</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30285</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1851</X>
<Y>0.3278</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30147</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1843</X>
<Y>0.3265</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30000</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1834</X>
<Y>0.3253</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29843</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1826</X>
<Y>0.3241</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29677</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1817</X>
<Y>0.3228</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29506</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1808</X>
<Y>0.3216</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29336</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1799</X>
<Y>0.3205</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29172</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1790</X>
<Y>0.3193</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29017</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1780</X>
<Y>0.3181</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28874</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1770</X>
<Y>0.3170</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28742</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1760</X>
<Y>0.3158</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28620</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1750</X>
<Y>0.3147</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28504</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1739</X>
<Y>0.3136</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28390</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1729</X>
<Y>0.3125</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28274</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1718</X>
<Y>0.3115</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28151</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1707</X>
<Y>0.3104</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28016</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1695</X>
<Y>0.3094</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27867</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1684</X>
<Y>0.3084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27701</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1672</X>
<Y>0.3074</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27520</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1661</X>
<Y>0.3064</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27326</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1649</X>
<Y>0.3055</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27125</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1636</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26927</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1624</X>
<Y>0.3036</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26739</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1612</X>
<Y>0.3027</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26566</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1599</X>
<Y>0.3018</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26409</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1586</X>
<Y>0.3010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26263</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1573</X>
<Y>0.3001</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26122</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1560</X>
<Y>0.2993</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25980</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1547</X>
<Y>0.2985</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25830</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1533</X>
<Y>0.2977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25673</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1520</X>
<Y>0.2970</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25509</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1506</X>
<Y>0.2962</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25342</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1492</X>
<Y>0.2955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25178</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1479</X>
<Y>0.2948</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25022</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1465</X>
<Y>0.2941</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24876</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1450</X>
<Y>0.2935</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24743</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1436</X>
<Y>0.2929</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24622</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1422</X>
<Y>0.2923</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24513</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1407</X>
<Y>0.2917</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24412</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1393</X>
<Y>0.2911</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24315</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1378</X>
<Y>0.2906</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24218</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1363</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24114</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1348</X>
<Y>0.2896</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24001</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1333</X>
<Y>0.2891</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23878</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1318</X>
<Y>0.2887</Y>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23593</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23429</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23256</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23080</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22909</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22751</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22609</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22483</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22369</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22257</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22138</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1134</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22008</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1118</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21871</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21734</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1087</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21589</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1072</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21443</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1056</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21305</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1041</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21179</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1025</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21060</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1009</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20951</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0994</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20853</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0978</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20762</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0963</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20677</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0947</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20595</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58109</MJD>
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<dataEOP><pole type="prediction"><X>0.0932</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20512</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0917</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20422</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0901</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20318</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0886</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20198</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0871</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20066</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58114</MJD>
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<dataEOP><pole type="prediction"><X>0.0856</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19921</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0841</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19761</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0826</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19598</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0811</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19441</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0796</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19297</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0781</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19167</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0767</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19046</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0752</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18928</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58122</MJD>
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<dataEOP><pole type="prediction"><X>0.0738</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18802</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58123</MJD>
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<dataEOP><pole type="prediction"><X>0.0724</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18664</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58124</MJD>
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<dataEOP><pole type="prediction"><X>0.0709</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18517</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58125</MJD>
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<dataEOP><pole type="prediction"><X>0.0695</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18366</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58126</MJD>
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<dataEOP><pole type="prediction"><X>0.0681</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18214</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58127</MJD>
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<dataEOP><pole type="prediction"><X>0.0667</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18067</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58128</MJD>
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<dataEOP><pole type="prediction"><X>0.0654</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17932</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0640</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17806</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0626</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17685</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0613</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17568</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0600</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17459</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58133</MJD>
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<dataEOP><pole type="prediction"><X>0.0587</X>
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<UT type="prediction"><UT1-UTC>0.17354</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58134</MJD>
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<dataEOP><pole type="prediction"><X>0.0574</X>
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<UT type="prediction"><UT1-UTC>0.17255</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58135</MJD>
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<dataEOP><pole type="prediction"><X>0.0561</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17158</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58136</MJD>
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<dataEOP><pole type="prediction"><X>0.0549</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17057</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58137</MJD>
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<dataEOP><pole type="prediction"><X>0.0536</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16946</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58138</MJD>
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<dataEOP><pole type="prediction"><X>0.0524</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16824</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58139</MJD>
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<dataEOP><pole type="prediction"><X>0.0512</X>
<Y>0.3014</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16688</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58140</MJD>
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<dataEOP><pole type="prediction"><X>0.0500</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16541</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0488</X>
<Y>0.3031</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16387</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0477</X>
<Y>0.3040</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16230</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0465</X>
<Y>0.3049</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16070</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0454</X>
<Y>0.3058</Y>
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<UT type="prediction"><UT1-UTC>0.15915</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58145</MJD>
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<dataEOP><pole type="prediction"><X>0.0443</X>
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<UT type="prediction"><UT1-UTC>0.15774</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58146</MJD>
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<dataEOP><pole type="prediction"><X>0.0432</X>
<Y>0.3077</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15648</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58147</MJD>
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<dataEOP><pole type="prediction"><X>0.0422</X>
<Y>0.3087</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15535</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0411</X>
<Y>0.3097</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15429</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0401</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15321</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58150</MJD>
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<dataEOP><pole type="prediction"><X>0.0391</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15200</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58151</MJD>
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<dataEOP><pole type="prediction"><X>0.0381</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15059</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58152</MJD>
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<dataEOP><pole type="prediction"><X>0.0371</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14904</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0362</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14741</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0353</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14580</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0344</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14428</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58156</MJD>
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<dataEOP><pole type="prediction"><X>0.0335</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14288</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58157</MJD>
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<dataEOP><pole type="prediction"><X>0.0327</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14162</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58158</MJD>
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<dataEOP><pole type="prediction"><X>0.0319</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14049</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58159</MJD>
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<dataEOP><pole type="prediction"><X>0.0310</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13943</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58160</MJD>
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<dataEOP><pole type="prediction"><X>0.0303</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13837</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58161</MJD>
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<dataEOP><pole type="prediction"><X>0.0295</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13733</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58162</MJD>
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<dataEOP><pole type="prediction"><X>0.0288</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13630</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58163</MJD>
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<dataEOP><pole type="prediction"><X>0.0281</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13516</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58164</MJD>
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<dataEOP><pole type="prediction"><X>0.0274</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13385</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58165</MJD>
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<dataEOP><pole type="prediction"><X>0.0267</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13242</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58166</MJD>
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<dataEOP><pole type="prediction"><X>0.0261</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13088</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58167</MJD>
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<dataEOP><pole type="prediction"><X>0.0255</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12919</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58168</MJD>
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<dataEOP><pole type="prediction"><X>0.0249</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12734</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58169</MJD>
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<dataEOP><pole type="prediction"><X>0.0243</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12537</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58170</MJD>
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<dataEOP><pole type="prediction"><X>0.0238</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12332</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58171</MJD>
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<dataEOP><pole type="prediction"><X>0.0233</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12126</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58172</MJD>
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<dataEOP><pole type="prediction"><X>0.0228</X>
<Y>0.3379</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11932</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58173</MJD>
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<dataEOP><pole type="prediction"><X>0.0223</X>
<Y>0.3392</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11753</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58174</MJD>
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<dataEOP><pole type="prediction"><X>0.0219</X>
<Y>0.3405</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11582</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0215</X>
<Y>0.3418</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11416</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0211</X>
<Y>0.3431</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11253</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0207</X>
<Y>0.3445</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11082</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58178</MJD>
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<dataEOP><pole type="prediction"><X>0.0204</X>
<Y>0.3458</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10901</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
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<dataEOP><pole type="prediction"><X>0.0201</X>
<Y>0.3471</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10709</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0198</X>
<Y>0.3485</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10512</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0196</X>
<Y>0.3498</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10311</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58182</MJD>
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<dataEOP><pole type="prediction"><X>0.0194</X>
<Y>0.3512</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10120</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58183</MJD>
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<dataEOP><pole type="prediction"><X>0.0192</X>
<Y>0.3526</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09940</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58184</MJD>
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<dataEOP><pole type="prediction"><X>0.0190</X>
<Y>0.3539</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09774</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58185</MJD>
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<dataEOP><pole type="prediction"><X>0.0188</X>
<Y>0.3553</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09620</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58186</MJD>
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<dataEOP><pole type="prediction"><X>0.0187</X>
<Y>0.3567</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09476</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58187</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0186</X>
<Y>0.3580</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09343</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58188</MJD>
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<dataEOP><pole type="prediction"><X>0.0186</X>
<Y>0.3594</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09215</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58189</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0185</X>
<Y>0.3608</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09084</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58190</MJD>
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<dataEOP><pole type="prediction"><X>0.0185</X>
<Y>0.3621</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08947</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58191</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0185</X>
<Y>0.3635</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08799</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58192</MJD>
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<dataEOP><pole type="prediction"><X>0.0186</X>
<Y>0.3649</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08636</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58193</MJD>
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<dataEOP><pole type="prediction"><X>0.0186</X>
<Y>0.3663</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08458</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58194</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0187</X>
<Y>0.3676</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08261</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58195</MJD>
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<dataEOP><pole type="prediction"><X>0.0189</X>
<Y>0.3690</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08045</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58196</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0190</X>
<Y>0.3704</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07815</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58197</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0192</X>
<Y>0.3717</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07580</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58198</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0194</X>
<Y>0.3731</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07347</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58199</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0196</X>
<Y>0.3744</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07123</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58200</MJD>
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<dataEOP><pole type="prediction"><X>0.0199</X>
<Y>0.3758</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06906</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58201</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0201</X>
<Y>0.3772</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06697</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58202</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0204</X>
<Y>0.3785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06493</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58203</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0208</X>
<Y>0.3798</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06292</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>58204</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0211</X>
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