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| 1 | The ecological limits of hydrologic alteration (ELOHA): a new framework for developing regional environmental flow standards显示文摘 | N. LEROYPOFF BRIAN D.RICHTER ANGELA H.ARTHINGTON STUART E.BUNN ROBERT J.NAIMAN ELOISEKENDY MIKEACREMAN COLINAPSE BRIAN P.BLEDSOE MARY C.FREEMAN JAMESHENRIKSEN ROBERT B.JACOBSON JONATHAN G.KENNEN DAVID M.MERRITT JAY H.O’KEEFFE JULIAN D.OLDEN KEVINROGERS RE | 2009 | Freshwater Biology2009，，1： | 1 |
| 2 | Assembly of a parts list ofthe human mitotic cell cycle machinery显示文摘The set of proteins required for mitotic division remains poorly characterized. Here, an extensive series of correlation analyses of human and mouse transcriptomics data were performed to identify genes strongly and reproducibly associated with cells undergoing S/G2-M phases of the cell cycle. In so doing, 701 cell cycle-associated genes were defined and while it was shown that many are only expressed during these phases, the expression of others is also driven by alternative promoters. Of this list, 496 genes have known cell cycle functions, whereas 205 were assigned as putative cell cycle genes, 53 of which are functionally uncharacterized. Among these, 27 were screened for subcellular localization revealing many to be nuclear localized and at least three to be novel centrosomal proteins. Furthermore, 10 others inhibited cell proliferation upon siRNA knockdown. This study presents the first comprehensive list of human cell cycle proteins, identifying many new candidate proteins. | Bruno Giott Sz-Hau Chen Mark W.Barnett Tim Regan Tony Ly Stefan Wiemann David A.Hume Tom C.Freeman | 2019 | Journal of Molecular Cell Biology2019，11，8： | 0 |
| 3 | 中国外交政策的软实力显示文摘正如北京奥运会期间所见证的,中国政府高度重视其国际形象。在这篇节选文章中,C弗雷德·伯格斯滕、查尔斯·弗里曼、尼古拉斯·拉迪和德里克·米切尔阐明了中国协同努力使其有别于西方世界并对世界文化做出独一无二的贡献。 | C.F.Bergsten C.Freeman N.Lardy D.Mitchell 何金娥 | 2009 | 英语文摘2009，，4： | 0 |
| 4 | Researching the Research: Applying Machine Learning Techniques to Dissertation Classification显示文摘This research examines industry-based dissertation research in a doctoralcomputing program through the lens of machine learning algorithms todetermine if natural language processing-based categorization on abstractsalone is adequate for classification. This research categorizes dissertationby both their abstracts and by their full-text using the GraphLabCreate library from Apple’s Turi to identify if abstract analysis is anadequate measure of content categorization, which we found was not. Wealso compare the dissertation categorizations using IBM’s Watson Discoverydeep machine learning tool. Our research provides perspectiveson the practicality of the manual classification of technical documents;and, it provides insights into the: (1) categories of academic work createdby experienced fulltime working professionals in a Computing doctoralprogram, (2) viability and performance of automated categorization of theabstract analysis against the fulltext dissertation analysis, and (3) natuallanguage processing versus human manual text classification abstraction. | Suzanna Schmeelk Tonya L.Fields Lisa R.Ellrodt Ion C.Freeman Ashley J.Haigler | 2020 | Journal of Computer Science Research2020，2，4： | 0 |
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