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  • ITEM NO. 601S - SALVAGING AND PLACING TOPSOIL
    ITEM NO 601S - SALVAGING AND PLACING TOPSOIL 601S 1 - Description This item shall govern the removal, storage and placement of approved on-site naturally occurring topsoil and topsoil mix (see 601S 3 A) to the depths and area shown on the Drawings or as directed by the City Engineer or designated representative
  • SALVAGING HISTORY - MOGenWeb
    SALVAGING HISTORY Grundy County group preserves a historic gem for future generations by Heather Berry hberry@ruralmissouri coop
  • Sharp needle recanalization for salvaging hemodialysis . . .
    Sharp needle recanalization for salvaging hemodialysis accesses with chronically occluded peripheral outflow Gregg A Miller1, Elsie Koh1,2, Aleksandr Khariton1, Dean C Preddie1,3, Wayne W Hwang1, Yevgeny Savransky4, Israel Schur5
  • Timber Salvage after Wildfires
    The following information should answer many of the questions you, as a landowner, may have about salvaging timber from burned areas Salvage projects should be carefully planned, and should be part of each landowner’s overall plan for meeting landowner objectives, legal requirements, and restoration needs for water quality, and fish and
  • Microsoft Word - Salvaging the Bradford Pear
    Salvaging the Bradford Pear Bradford pear (Pyrus calleryana var “Bradford”) trees, as the name implies, are a variety of Callery pear This particular variety of pear has graced or plagued, depending upon your perspective, our communities for more than 40 years While these trees were genetically selected for their perfect “lollypop” shaped crown, it is that shape that is responsible
  • Salvaging Forbidden Treasure in Medical Data: Utilizing . . .
    Salvaging Forbidden Treasure in Medical Data: Utilizing Surrogate Outcomes and Single Records for Rare Event Modeling Xiaohui Yin1, Shane Sacco2, Robert H Aseltine2,3, Fei Wang4, Kun Chen1,2∗
  • Salvaging Federated Learning by Local Adaptation
    on patient records from multiple hospitals Designed for un-balanced, non-iid data distributions, federated learning has demonstrated good performance and scalability (Bonawitz et al , 2019) and is promoted by Google (Pichai, 2019) and other companies as the solution to privacy problems in pre-dictive keyboards (Hard et al , 2018), medicine (de Brouwer, 2019), and other domains (Kairouz et al




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