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<dataEOP><pole type="prediction"><X>0.0072</X>
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<UT type="prediction"><UT1-UTC>0.46876</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0077</X>
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<UT type="prediction"><UT1-UTC>0.46728</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0081</X>
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<UT type="prediction"><UT1-UTC>0.46579</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0086</X>
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<UT type="prediction"><UT1-UTC>0.46426</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0091</X>
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<UT type="prediction"><UT1-UTC>0.46266</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0097</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.46099</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0102</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.45928</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0109</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.45757</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0115</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.45589</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0122</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.45428</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0128</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.45275</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0136</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.45133</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0143</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.45001</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0150</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.44878</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0158</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.44761</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0166</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.44645</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57862</MJD>
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<dataEOP><pole type="prediction"><X>0.0175</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.44527</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0183</X>
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<UT type="prediction"><UT1-UTC>0.44400</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0192</X>
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<UT type="prediction"><UT1-UTC>0.44262</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0202</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.44108</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0211</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.43937</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0221</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.43750</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0231</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.43553</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0241</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.43353</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57870</MJD>
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<dataEOP><pole type="prediction"><X>0.0251</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.43161</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0261</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.42983</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0272</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.42822</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0283</X>
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<UT type="prediction"><UT1-UTC>0.42676</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0295</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.42540</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57875</MJD>
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<dataEOP><pole type="prediction"><X>0.0306</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.42407</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0318</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.42273</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0330</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.42134</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41991</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.41843</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0366</X>
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<UT type="prediction"><UT1-UTC>0.41695</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0379</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.41550</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0392</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.41411</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0405</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.41281</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0418</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.41161</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0432</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.41053</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57886</MJD>
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<dataEOP><pole type="prediction"><X>0.0445</X>
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<UT type="prediction"><UT1-UTC>0.40956</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0459</X>
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<UT type="prediction"><UT1-UTC>0.40867</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0473</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.40783</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0487</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.40701</UT1-UTC>
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<MJD>57890</MJD>
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<dataEOP><pole type="prediction"><X>0.0501</X>
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<UT type="prediction"><UT1-UTC>0.40615</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0516</X>
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<UT type="prediction"><UT1-UTC>0.40521</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0530</X>
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<UT type="prediction"><UT1-UTC>0.40415</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0545</X>
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<UT type="prediction"><UT1-UTC>0.40295</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0560</X>
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<UT type="prediction"><UT1-UTC>0.40159</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0575</X>
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<UT type="prediction"><UT1-UTC>0.40010</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0590</X>
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<UT type="prediction"><UT1-UTC>0.39855</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0605</X>
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<UT type="prediction"><UT1-UTC>0.39702</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0620</X>
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<UT type="prediction"><UT1-UTC>0.39559</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0636</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.39432</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0651</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.39321</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0667</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.39223</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0683</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.39131</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0699</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.39040</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57904</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0715</X>
<Y>0.4416</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38945</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57905</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0731</X>
<Y>0.4422</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38845</UT1-UTC>
</UT>
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<UT type="prediction"><UT1-UTC>0.38743</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38642</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38544</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38454</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38373</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38304</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38248</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38202</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38166</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38137</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38109</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38080</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38044</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37998</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37940</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37869</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37786</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37695</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37602</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37513</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37435</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37371</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37320</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37276</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1147</X>
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<UT type="prediction"><UT1-UTC>0.37235</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1164</X>
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<UT type="prediction"><UT1-UTC>0.37190</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37138</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37082</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37024</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36969</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36920</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36879</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36850</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36831</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36824</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36825</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36832</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36841</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36848</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36849</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36839</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36815</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36778</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36728</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36669</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36606</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36545</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36490</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36445</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36172</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36114</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36061</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36015</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1675</X>
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<UT type="prediction"><UT1-UTC>0.35932</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35931</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35931</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35930</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35921</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35901</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35866</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35816</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35752</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35678</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35598</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35519</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35445</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.35380</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35324</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35274</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35225</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35169</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35104</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35026</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34937</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34844</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34750</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34661</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34581</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34510</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34450</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1951</X>
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<UT type="prediction"><UT1-UTC>0.34399</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34354</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34311</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34267</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34216</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1975</X>
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<UT type="prediction"><UT1-UTC>0.34155</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1979</X>
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<UT type="prediction"><UT1-UTC>0.34079</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1983</X>
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<UT type="prediction"><UT1-UTC>0.33986</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1986</X>
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<UT type="prediction"><UT1-UTC>0.33878</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1990</X>
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<UT type="prediction"><UT1-UTC>0.33757</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1993</X>
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<UT type="prediction"><UT1-UTC>0.33630</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1995</X>
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<UT type="prediction"><UT1-UTC>0.33504</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1998</X>
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<UT type="prediction"><UT1-UTC>0.33384</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2000</X>
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<UT type="prediction"><UT1-UTC>0.33275</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2001</X>
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<UT type="prediction"><UT1-UTC>0.33178</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2003</X>
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<UT type="prediction"><UT1-UTC>0.33091</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2004</X>
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<UT type="prediction"><UT1-UTC>0.33007</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32921</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32826</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32720</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2007</X>
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<UT type="prediction"><UT1-UTC>0.32603</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32476</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32347</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2005</X>
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<UT type="prediction"><UT1-UTC>0.32218</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2004</X>
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<UT type="prediction"><UT1-UTC>0.32097</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2003</X>
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<UT type="prediction"><UT1-UTC>0.31984</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2002</X>
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<UT type="prediction"><UT1-UTC>0.31880</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58022</MJD>
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<dataEOP><pole type="prediction"><X>0.2000</X>
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<UT type="prediction"><UT1-UTC>0.31786</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1998</X>
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<UT type="prediction"><UT1-UTC>0.31698</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1996</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31613</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1993</X>
<Y>0.3526</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31527</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1990</X>
<Y>0.3512</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31434</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1987</X>
<Y>0.3498</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31331</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1984</X>
<Y>0.3484</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31214</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1980</X>
<Y>0.3470</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31081</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1976</X>
<Y>0.3456</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30930</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.3443</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30763</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1967</X>
<Y>0.3429</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30583</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1963</X>
<Y>0.3416</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30397</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1958</X>
<Y>0.3402</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1952</X>
<Y>0.3389</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30046</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1947</X>
<Y>0.3375</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29890</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1941</X>
<Y>0.3362</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29747</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1935</X>
<Y>0.3349</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29611</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1929</X>
<Y>0.3336</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29474</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1922</X>
<Y>0.3323</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29331</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1916</X>
<Y>0.3310</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29179</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1909</X>
<Y>0.3298</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29016</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1902</X>
<Y>0.3285</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28842</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1894</X>
<Y>0.3273</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28668</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1886</X>
<Y>0.3260</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1878</X>
<Y>0.3248</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28314</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1870</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28136</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1862</X>
<Y>0.3224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27970</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1853</X>
<Y>0.3212</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27814</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1845</X>
<Y>0.3200</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27667</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1836</X>
<Y>0.3189</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27532</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1826</X>
<Y>0.3177</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27403</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1817</X>
<Y>0.3166</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27271</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1807</X>
<Y>0.3155</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27134</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1797</X>
<Y>0.3144</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26987</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1787</X>
<Y>0.3133</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26825</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1777</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26652</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1766</X>
<Y>0.3112</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26468</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>0.1756</X>
<Y>0.3101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26268</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>0.1745</X>
<Y>0.3091</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26066</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>0.1734</X>
<Y>0.3081</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25868</UT1-UTC>
</UT>
</dataEOP>
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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>0.1723</X>
<Y>0.3071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25686</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>0.1711</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25524</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>0.1700</X>
<Y>0.3052</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25381</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>0.1688</X>
<Y>0.3043</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25253</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1676</X>
<Y>0.3034</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25128</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>0.1664</X>
<Y>0.3025</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24992</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>0.1652</X>
<Y>0.3016</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24847</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>0.1639</X>
<Y>0.3007</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24693</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1627</X>
<Y>0.2999</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24529</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>0.1614</X>
<Y>0.2991</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24365</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1601</X>
<Y>0.2983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24198</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>0.1588</X>
<Y>0.2975</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24042</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>0.1575</X>
<Y>0.2968</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23893</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>0.1562</X>
<Y>0.2960</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23754</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>0.1548</X>
<Y>0.2953</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23617</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>0.1535</X>
<Y>0.2946</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23487</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>0.1521</X>
<Y>0.2939</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23369</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>0.1508</X>
<Y>0.2933</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23254</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1494</X>
<Y>0.2926</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23134</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>0.1480</X>
<Y>0.2920</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23010</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>0.1466</X>
<Y>0.2914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22884</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1452</X>
<Y>0.2909</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22743</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>0.1437</X>
<Y>0.2903</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22582</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>58085</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1423</X>
<Y>0.2898</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22403</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22207</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1394</X>
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<UT type="prediction"><UT1-UTC>0.21993</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1380</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21782</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1365</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21578</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1350</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21389</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1336</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21215</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21059</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1306</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20914</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1291</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20772</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1276</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20629</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1261</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20483</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1246</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20328</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1231</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20175</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1216</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20029</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58100</MJD>
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<dataEOP><pole type="prediction"><X>0.1201</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19882</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58101</MJD>
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<dataEOP><pole type="prediction"><X>0.1186</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19746</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58102</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1171</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19618</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1156</X>
<Y>0.2844</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19507</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
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<dataEOP><pole type="prediction"><X>0.1141</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19400</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1126</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19295</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1110</X>
<Y>0.2842</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19200</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1095</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19106</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1080</X>
<Y>0.2842</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19007</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58109</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1065</X>
<Y>0.2842</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18902</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58110</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1050</X>
<Y>0.2843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18784</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1035</X>
<Y>0.2844</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18645</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58112</MJD>
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<dataEOP><pole type="prediction"><X>0.1020</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18492</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1006</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18320</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0991</X>
<Y>0.2847</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18133</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0976</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17940</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0961</X>
<Y>0.2851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17745</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0947</X>
<Y>0.2853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17551</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0932</X>
<Y>0.2856</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17368</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0917</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17200</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0903</X>
<Y>0.2861</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17037</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58121</MJD>
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<dataEOP><pole type="prediction"><X>0.0889</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16868</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0874</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16694</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0860</X>
<Y>0.2871</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16509</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0846</X>
<Y>0.2875</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16315</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0832</X>
<Y>0.2879</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16107</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0818</X>
<Y>0.2883</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15891</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0804</X>
<Y>0.2888</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15681</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0790</X>
<Y>0.2892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15483</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0777</X>
<Y>0.2897</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15307</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0763</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15147</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58131</MJD>
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<dataEOP><pole type="prediction"><X>0.0750</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15003</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0737</X>
<Y>0.2913</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14869</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0724</X>
<Y>0.2919</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14737</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0711</X>
<Y>0.2925</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14611</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0698</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14491</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>0.0685</X>
<Y>0.2937</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14371</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0673</X>
<Y>0.2944</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14249</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0660</X>
<Y>0.2950</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14123</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0648</X>
<Y>0.2957</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13988</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0636</X>
<Y>0.2964</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13843</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>0.0624</X>
<Y>0.2972</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13679</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>0.0612</X>
<Y>0.2979</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13514</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>0.0601</X>
<Y>0.2987</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13340</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0589</X>
<Y>0.2995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13172</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0578</X>
<Y>0.3003</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13014</UT1-UTC>
</UT>
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<UT type="prediction"><UT1-UTC>0.06878</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.06686</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.06510</UT1-UTC>
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