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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1170</X>
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<UT type="prediction"><UT1-UTC>0.07878</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58274</MJD>
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<dataEOP><pole type="prediction"><X>0.1186</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07871</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58275</MJD>
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<dataEOP><pole type="prediction"><X>0.1203</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07856</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58276</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1220</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07832</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58277</MJD>
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<dataEOP><pole type="prediction"><X>0.1236</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07797</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58278</MJD>
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<dataEOP><pole type="prediction"><X>0.1253</X>
<Y>0.4512</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07754</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58279</MJD>
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<dataEOP><pole type="prediction"><X>0.1269</X>
<Y>0.4510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07708</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1286</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07665</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58281</MJD>
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<dataEOP><pole type="prediction"><X>0.1302</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07631</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58282</MJD>
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<dataEOP><pole type="prediction"><X>0.1319</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07611</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58283</MJD>
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<dataEOP><pole type="prediction"><X>0.1335</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07606</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58284</MJD>
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<dataEOP><pole type="prediction"><X>0.1351</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07611</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58285</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1367</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07619</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58286</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1384</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07622</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58287</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1400</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07617</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58288</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1416</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07603</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58289</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1432</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07581</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58290</MJD>
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<dataEOP><pole type="prediction"><X>0.1447</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07557</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58291</MJD>
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<dataEOP><pole type="prediction"><X>0.1463</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07538</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58292</MJD>
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<dataEOP><pole type="prediction"><X>0.1479</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07529</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58293</MJD>
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<dataEOP><pole type="prediction"><X>0.1494</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07534</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58294</MJD>
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<dataEOP><pole type="prediction"><X>0.1510</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07554</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58295</MJD>
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<dataEOP><pole type="prediction"><X>0.1525</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07590</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58296</MJD>
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<dataEOP><pole type="prediction"><X>0.1540</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07639</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1556</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07699</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58298</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1571</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07764</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58299</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1585</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07830</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58300</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1600</X>
<Y>0.4401</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07893</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58301</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1615</X>
<Y>0.4393</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07947</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58302</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1629</X>
<Y>0.4384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07989</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1643</X>
<Y>0.4376</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08019</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58304</MJD>
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<dataEOP><pole type="prediction"><X>0.1657</X>
<Y>0.4367</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08036</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58305</MJD>
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<dataEOP><pole type="prediction"><X>0.1671</X>
<Y>0.4358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08042</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1685</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08040</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58307</MJD>
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<dataEOP><pole type="prediction"><X>0.1699</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08034</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58308</MJD>
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<dataEOP><pole type="prediction"><X>0.1712</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08029</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58309</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1725</X>
<Y>0.4321</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08032</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58310</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1738</X>
<Y>0.4311</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08044</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58311</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1751</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08065</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58312</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1764</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08089</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58313</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1776</X>
<Y>0.4280</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08109</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58314</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1789</X>
<Y>0.4269</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08117</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58315</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1801</X>
<Y>0.4258</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08113</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58316</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1813</X>
<Y>0.4247</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08098</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58317</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1824</X>
<Y>0.4235</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08078</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58318</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1836</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08062</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58319</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1847</X>
<Y>0.4212</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08056</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58320</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1858</X>
<Y>0.4200</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08063</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58321</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1869</X>
<Y>0.4188</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08086</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58322</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1879</X>
<Y>0.4176</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08124</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58323</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1890</X>
<Y>0.4163</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08175</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58324</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1900</X>
<Y>0.4150</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08235</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58325</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1910</X>
<Y>0.4138</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08299</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58326</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1919</X>
<Y>0.4125</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08364</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58327</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1929</X>
<Y>0.4112</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08425</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58328</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1938</X>
<Y>0.4098</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08477</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58329</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1947</X>
<Y>0.4085</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08517</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58330</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1955</X>
<Y>0.4071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08545</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>58331</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1964</X>
<Y>0.4058</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08560</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>58332</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.4044</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08563</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>58333</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1980</X>
<Y>0.4030</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08558</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>58334</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1987</X>
<Y>0.4016</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08550</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>58335</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1995</X>
<Y>0.4002</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08542</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>58336</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2002</X>
<Y>0.3988</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08538</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>58337</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2009</X>
<Y>0.3973</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08541</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>58338</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2015</X>
<Y>0.3959</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08551</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>58339</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2021</X>
<Y>0.3944</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08564</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>58340</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3929</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08573</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>58341</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2033</X>
<Y>0.3914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08569</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>58342</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2039</X>
<Y>0.3899</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08549</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>58343</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2044</X>
<Y>0.3884</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08511</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>58344</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2049</X>
<Y>0.3869</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08462</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>58345</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2053</X>
<Y>0.3854</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08410</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>58346</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2058</X>
<Y>0.3839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08364</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>58347</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2062</X>
<Y>0.3824</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>58348</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2065</X>
<Y>0.3808</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08309</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>58349</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2069</X>
<Y>0.3793</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08304</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>58350</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2072</X>
<Y>0.3777</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08312</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>58351</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2075</X>
<Y>0.3762</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>58352</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2077</X>
<Y>0.3746</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08351</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>58353</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2080</X>
<Y>0.3730</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08375</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>58354</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2082</X>
<Y>0.3715</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08394</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>58355</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2083</X>
<Y>0.3699</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08404</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>58356</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2085</X>
<Y>0.3683</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08404</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>58357</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2086</X>
<Y>0.3667</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08394</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>58358</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2087</X>
<Y>0.3652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08370</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>58359</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2087</X>
<Y>0.3636</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08334</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>58360</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2087</X>
<Y>0.3620</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08290</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>58361</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2087</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08241</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>58362</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2087</X>
<Y>0.3588</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08193</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>58363</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2086</X>
<Y>0.3573</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08150</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>58364</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2085</X>
<Y>0.3557</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08114</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>58365</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2084</X>
<Y>0.3541</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08085</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>58366</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2083</X>
<Y>0.3525</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58367</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2081</X>
<Y>0.3510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08034</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58368</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2079</X>
<Y>0.3494</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07997</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58369</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2076</X>
<Y>0.3478</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07944</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58370</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2073</X>
<Y>0.3462</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07871</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58371</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2070</X>
<Y>0.3447</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07782</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58372</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2067</X>
<Y>0.3431</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07683</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58373</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2063</X>
<Y>0.3416</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07584</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58374</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2060</X>
<Y>0.3400</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07494</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58375</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2055</X>
<Y>0.3385</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07418</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58376</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2051</X>
<Y>0.3370</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07359</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58377</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2046</X>
<Y>0.3354</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07316</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>58378</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2041</X>
<Y>0.3339</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07284</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>58379</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2036</X>
<Y>0.3324</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07261</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>58380</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2030</X>
<Y>0.3309</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07239</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58381</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2024</X>
<Y>0.3294</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07215</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>58382</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2018</X>
<Y>0.3279</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07184</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>58383</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2012</X>
<Y>0.3265</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07142</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58384</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
<Y>0.3250</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07086</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58385</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1998</X>
<Y>0.3235</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07016</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58386</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1991</X>
<Y>0.3221</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06933</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58387</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1983</X>
<Y>0.3207</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06840</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58388</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1975</X>
<Y>0.3192</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06741</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58389</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1967</X>
<Y>0.3178</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06643</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58390</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1959</X>
<Y>0.3164</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06551</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58391</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1950</X>
<Y>0.3151</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06468</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58392</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1941</X>
<Y>0.3137</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06394</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
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<MJD>58393</MJD>
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<dataEOP><pole type="prediction"><X>0.1932</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06327</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58394</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1923</X>
<Y>0.3110</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06260</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58395</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1913</X>
<Y>0.3097</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06187</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58396</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1904</X>
<Y>0.3084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06101</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58397</MJD>
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<dataEOP><pole type="prediction"><X>0.1893</X>
<Y>0.3071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05997</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58398</MJD>
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<dataEOP><pole type="prediction"><X>0.1883</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05874</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58399</MJD>
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<dataEOP><pole type="prediction"><X>0.1873</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05738</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58400</MJD>
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<dataEOP><pole type="prediction"><X>0.1862</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05596</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1851</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05458</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1839</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05332</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1828</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05223</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1816</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05130</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1804</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05053</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1792</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04986</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1780</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04925</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1767</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04864</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58409</MJD>
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<dataEOP><pole type="prediction"><X>0.1754</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04799</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1741</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04724</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1728</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04637</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1715</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04536</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1701</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04422</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1687</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04297</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58415</MJD>
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<dataEOP><pole type="prediction"><X>0.1673</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04165</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58416</MJD>
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<dataEOP><pole type="prediction"><X>0.1659</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04032</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58417</MJD>
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<dataEOP><pole type="prediction"><X>0.1645</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03905</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58418</MJD>
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<dataEOP><pole type="prediction"><X>0.1631</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03788</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1616</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03683</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58420</MJD>
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<dataEOP><pole type="prediction"><X>0.1601</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03588</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58421</MJD>
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<dataEOP><pole type="prediction"><X>0.1586</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03498</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1571</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03407</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1556</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03306</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1541</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03192</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1525</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03061</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1509</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02917</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1494</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02765</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1478</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02615</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1462</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02473</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58430</MJD>
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<dataEOP><pole type="prediction"><X>0.1446</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02345</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58431</MJD>
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<dataEOP><pole type="prediction"><X>0.1429</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02236</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58432</MJD>
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<dataEOP><pole type="prediction"><X>0.1413</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02142</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58433</MJD>
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<dataEOP><pole type="prediction"><X>0.1396</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02062</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58434</MJD>
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<dataEOP><pole type="prediction"><X>0.1380</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01991</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58435</MJD>
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<dataEOP><pole type="prediction"><X>0.1363</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01923</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58436</MJD>
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<dataEOP><pole type="prediction"><X>0.1347</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01853</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58437</MJD>
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<dataEOP><pole type="prediction"><X>0.1330</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01776</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58438</MJD>
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<dataEOP><pole type="prediction"><X>0.1313</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01687</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58439</MJD>
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<dataEOP><pole type="prediction"><X>0.1296</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01584</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58440</MJD>
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<dataEOP><pole type="prediction"><X>0.1279</X>
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<UT type="prediction"><UT1-UTC>0.01465</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58441</MJD>
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<dataEOP><pole type="prediction"><X>0.1262</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01333</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58442</MJD>
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<dataEOP><pole type="prediction"><X>0.1245</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01189</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58443</MJD>
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<dataEOP><pole type="prediction"><X>0.1227</X>
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<UT type="prediction"><UT1-UTC>0.01041</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58444</MJD>
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<dataEOP><pole type="prediction"><X>0.1210</X>
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<UT type="prediction"><UT1-UTC>0.00895</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1193</X>
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<UT type="prediction"><UT1-UTC>0.00760</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1176</X>
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<UT type="prediction"><UT1-UTC>0.00639</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1158</X>
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<UT type="prediction"><UT1-UTC>0.00535</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1141</X>
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<UT type="prediction"><UT1-UTC>0.00441</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58449</MJD>
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<dataEOP><pole type="prediction"><X>0.1124</X>
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<UT type="prediction"><UT1-UTC>0.00351</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1106</X>
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<UT type="prediction"><UT1-UTC>0.00256</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58451</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1089</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00150</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58452</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1071</X>
<Y>0.2691</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00032</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1054</X>
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<UT type="prediction"><UT1-UTC>-0.00096</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58454</MJD>
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<dataEOP><pole type="prediction"><X>0.1036</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00229</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1019</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00361</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1002</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00485</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0984</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00597</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0967</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00693</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58459</MJD>
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<dataEOP><pole type="prediction"><X>0.0950</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00775</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0932</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00844</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0915</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00904</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0898</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00960</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0881</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01017</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0864</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01079</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0847</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01150</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0830</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01230</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0813</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01320</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0796</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01418</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0779</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01521</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58470</MJD>
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<dataEOP><pole type="prediction"><X>0.0763</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01624</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58471</MJD>
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<dataEOP><pole type="prediction"><X>0.0746</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01723</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58472</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0730</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01813</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58473</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0714</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01893</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58474</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0697</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01955</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58475</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0681</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02005</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58476</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0665</X>
<Y>0.2774</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02047</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58477</MJD>
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<dataEOP><pole type="prediction"><X>0.0649</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02095</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58478</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0634</X>
<Y>0.2788</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02156</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58479</MJD>
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<dataEOP><pole type="prediction"><X>0.0618</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02231</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58480</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0603</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02316</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58481</MJD>
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<dataEOP><pole type="prediction"><X>0.0587</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02411</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58482</MJD>
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<dataEOP><pole type="prediction"><X>0.0572</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02504</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58483</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0557</X>
<Y>0.2827</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02591</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>01</dateDay>
<MJD>58484</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0542</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02668</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58485</MJD>
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<dataEOP><pole type="prediction"><X>0.0527</X>
<Y>0.2844</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02736</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58486</MJD>
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<dataEOP><pole type="prediction"><X>0.0513</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02802</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58487</MJD>
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<dataEOP><pole type="prediction"><X>0.0498</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02859</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0484</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02907</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58489</MJD>
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<dataEOP><pole type="prediction"><X>0.0470</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02941</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0456</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02970</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58491</MJD>
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<dataEOP><pole type="prediction"><X>0.0443</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03000</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58492</MJD>
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<dataEOP><pole type="prediction"><X>0.0429</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03041</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58493</MJD>
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<dataEOP><pole type="prediction"><X>0.0416</X>
<Y>0.2922</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03096</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58494</MJD>
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<dataEOP><pole type="prediction"><X>0.0403</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03163</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58495</MJD>
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<dataEOP><pole type="prediction"><X>0.0390</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03246</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58496</MJD>
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<dataEOP><pole type="prediction"><X>0.0377</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03338</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58497</MJD>
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<dataEOP><pole type="prediction"><X>0.0365</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03442</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58498</MJD>
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<dataEOP><pole type="prediction"><X>0.0352</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03552</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58499</MJD>
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<dataEOP><pole type="prediction"><X>0.0340</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03658</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58500</MJD>
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<dataEOP><pole type="prediction"><X>0.0328</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03754</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58501</MJD>
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<dataEOP><pole type="prediction"><X>0.0317</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03833</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58502</MJD>
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<dataEOP><pole type="prediction"><X>0.0305</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03906</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58503</MJD>
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<dataEOP><pole type="prediction"><X>0.0294</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03973</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58504</MJD>
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<dataEOP><pole type="prediction"><X>0.0283</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04044</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58505</MJD>
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<dataEOP><pole type="prediction"><X>0.0273</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04128</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58506</MJD>
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<dataEOP><pole type="prediction"><X>0.0262</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04230</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58507</MJD>
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<dataEOP><pole type="prediction"><X>0.0252</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04350</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58508</MJD>
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<dataEOP><pole type="prediction"><X>0.0242</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04482</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58509</MJD>
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<dataEOP><pole type="prediction"><X>0.0232</X>
<Y>0.3117</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04618</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58510</MJD>
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<dataEOP><pole type="prediction"><X>0.0223</X>
<Y>0.3131</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04748</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58511</MJD>
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<dataEOP><pole type="prediction"><X>0.0214</X>
<Y>0.3145</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04864</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58512</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0205</X>
<Y>0.3159</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04961</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0196</X>
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<UT type="prediction"><UT1-UTC>-0.05040</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0188</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05109</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58515</MJD>
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<dataEOP><pole type="prediction"><X>0.0180</X>
<Y>0.3202</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05169</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58516</MJD>
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<dataEOP><pole type="prediction"><X>0.0172</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05222</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58517</MJD>
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<dataEOP><pole type="prediction"><X>0.0164</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05267</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0157</X>
<Y>0.3246</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05316</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0150</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05369</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0143</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05429</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58521</MJD>
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<dataEOP><pole type="prediction"><X>0.0137</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05503</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0130</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05591</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0125</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05694</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58524</MJD>
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<dataEOP><pole type="prediction"><X>0.0119</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05797</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58525</MJD>
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<dataEOP><pole type="prediction"><X>0.0114</X>
<Y>0.3353</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05908</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58526</MJD>
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<dataEOP><pole type="prediction"><X>0.0108</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06026</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0104</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06137</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58528</MJD>
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<dataEOP><pole type="prediction"><X>0.0099</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06239</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0095</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06339</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0091</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06430</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0088</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06527</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0084</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06637</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0081</X>
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<UT type="prediction"><UT1-UTC>-0.06767</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0079</X>
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<UT type="prediction"><UT1-UTC>-0.06923</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0076</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.07102</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58536</MJD>
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<dataEOP><pole type="prediction"><X>0.0074</X>
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<UT type="prediction"><UT1-UTC>-0.07298</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0072</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.07497</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0071</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.07684</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0070</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.07855</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0069</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.08010</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0068</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.08149</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0068</X>
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<UT type="prediction"><UT1-UTC>-0.08281</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0068</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.08402</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0069</X>
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<UT type="prediction"><UT1-UTC>-0.08516</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0069</X>
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<UT type="prediction"><UT1-UTC>-0.08634</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0070</X>
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<UT type="prediction"><UT1-UTC>-0.08759</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0072</X>
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<UT type="prediction"><UT1-UTC>-0.08897</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0073</X>
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<UT type="prediction"><UT1-UTC>-0.09050</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0075</X>
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<UT type="prediction"><UT1-UTC>-0.09219</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0077</X>
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<UT type="prediction"><UT1-UTC>-0.09395</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0080</X>
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<UT type="prediction"><UT1-UTC>-0.09579</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0083</X>
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<UT type="prediction"><UT1-UTC>-0.09763</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0086</X>
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<UT type="prediction"><UT1-UTC>-0.09939</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0089</X>
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<UT type="prediction"><UT1-UTC>-0.10104</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0093</X>
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<UT type="prediction"><UT1-UTC>-0.10260</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58556</MJD>
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<dataEOP><pole type="prediction"><X>0.0097</X>
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<UT type="prediction"><UT1-UTC>-0.10409</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58557</MJD>
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<dataEOP><pole type="prediction"><X>0.0101</X>
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<UT type="prediction"><UT1-UTC>-0.10554</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58558</MJD>
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<dataEOP><pole type="prediction"><X>0.0106</X>
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<UT type="prediction"><UT1-UTC>-0.10697</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58559</MJD>
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<dataEOP><pole type="prediction"><X>0.0111</X>
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<UT type="prediction"><UT1-UTC>-0.10837</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58560</MJD>
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<dataEOP><pole type="prediction"><X>0.0116</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.10993</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58561</MJD>
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<dataEOP><pole type="prediction"><X>0.0121</X>
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<UT type="prediction"><UT1-UTC>-0.11167</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58562</MJD>
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<dataEOP><pole type="prediction"><X>0.0127</X>
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<UT type="prediction"><UT1-UTC>-0.11364</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0133</X>
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<UT type="prediction"><UT1-UTC>-0.11586</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58564</MJD>
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<dataEOP><pole type="prediction"><X>0.0139</X>
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<UT type="prediction"><UT1-UTC>-0.11826</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0146</X>
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<UT type="prediction"><UT1-UTC>-0.12064</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0153</X>
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<UT type="prediction"><UT1-UTC>-0.12289</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0160</X>
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<UT type="prediction"><UT1-UTC>-0.12496</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0168</X>
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<UT type="prediction"><UT1-UTC>-0.12675</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0176</X>
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<UT type="prediction"><UT1-UTC>-0.12835</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58570</MJD>
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<dataEOP><pole type="prediction"><X>0.0184</X>
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<UT type="prediction"><UT1-UTC>-0.12982</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58571</MJD>
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<dataEOP><pole type="prediction"><X>0.0192</X>
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<UT type="prediction"><UT1-UTC>-0.13121</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58572</MJD>
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<dataEOP><pole type="prediction"><X>0.0200</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.13253</UT1-UTC>
</UT>
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