LEADER 01919nam 2200337Ia 450 001 996385149103316 005 20200824132010.0 035 $a(CKB)4940000000074875 035 $a(EEBO)2264200948 035 $a(OCoLC)ocm12075679e 035 $a(OCoLC)12075679 035 $a(EXLCZ)994940000000074875 100 $a19850524d1653 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aGeneration work, or, A briefe and seasonable word offered to the view and consideration of the saints and people of god in this generation$b[electronic resource] $erelating to the work of the present age, or generation wee live in ... /$fby John Tillinghast .. 210 $aLondon $cPrinted by M. Simmons for Livewell Chapman ...$d1653 215 $a[16], 117, [8] p 300 $a"A table ..." [i.e. index]: p. [2]-[8]. 300 $aReproduction of original in Union Theological Seminary Library, New York. 327 $a(from t.p.) 1. What generation work is and how it differs from other workes -- 2. That saints in the severall generations they have lived in, have had the proper and peculiar workes of their generations -- 3. 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Accountability Office,$d[2012] 215 $a1 online resource (ii, 80 pages) $cillustrations (some color) 300 $aTitle from PDF title screen (viewed Oct. 4, 2012). 300 $a"May 2012." 300 $a"GAO-12-335." 320 $aIncludes bibliographical references. 517 $aNonpoint source water pollution 606 $aWater$xPollution$xLaw and legislation$zUnited States 606 $aWater quality$zUnited States 615 0$aWater$xPollution$xLaw and legislation 615 0$aWater quality 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910702102603321 996 $aNonpoint source water pollution$93513405 997 $aUNINA LEADER 03203nam 22007215 450 001 9910568266003321 005 20251113192532.0 010 $a3-031-02044-8 024 7 $a10.1007/978-3-031-02044-5 035 $a(CKB)5600000000455463 035 $a(MiAaPQ)EBC6976077 035 $a(Au-PeEL)EBL6976077 035 $a(PPN)26915499X 035 $a(OCoLC)1314263651 035 $a(DE-He213)978-3-031-02044-5 035 $a(EXLCZ)995600000000455463 100 $a20220503d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Data Mining for Sports Analytics $e8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers /$fedited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (211 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1571 311 08$a3-031-02043-X 320 $aIncludes bibliographical references and index. 327 $aFootball -- Other team sports -- Individual sports -- Non-physical sports. 330 $aThis book constitutes the refereed post-conference proceedings of the 8th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2021, held as virtual event in September 2021. The 12 full papers and 4 short papers presented were carefully reviewed and selected from 29 submissions. 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