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国际医学放射学杂志 2012年第1期 81-81页

作者： B.C.Yankaskas R.C.may J.matuszewski J.m.Bowling m.p.jarman B.F.Schroeder 夏艺 Carolina mammography Registry Department of RadiologyUniversity of North Carolina School of MedicineMason Farm RdCB 7515Chapel HillNC 27599-7515

目的评价对比乳腺X线片对乳腺X线筛检准确率、敏感度、特异度、阳性预测值(ppV1)及癌症检出率(CDR)的影响,判定识别对比乳腺X线片变化的作用。材料与方法此前瞻性研究符合HIpAA,经机构审查委员会批准,无需病

关键词：乳腺癌症乳房筛检

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Transformer winding type recognition based on FRA data and a support vector machine model

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High Voltage 2020年第6期5卷 704-715页

作者： Xiaozhou mao Zhongdong Wang peter Crossley paul jarman Andrew Fieldsend-Roxborough Gordon Wilson The University of manchester Manchester M139PLUK National Grid Warwick CV346DAUK

Frequency response analysis (FRA) is regarded as the most effective technique to detect mechanical faults of transformers. Over the years, FRA measurement data have been collected by utilities into transformer asset databases. The characteristic of FRA data is fundamentally determined by the transformer's equivalent electrical circuit, which consists of inductance and capacitance parameters that are windings' design and structure dependent. Different winding types tend to have different FRA characteristics, and a transformer's design information such as winding type, dimension etc. is often not known to the utility but critically important for asset management. This study reviews the state-of-the-art transformer FRA databases and application of machine learning techniques in this field, and proposes to apply a support vector machine (SVm) model onto the FRA data to identify the winding type. The SVm model is first trained by FRA traces of transformers with known winding types, and after testing, the SVm model is then applied to FRA traces with unknown winding information. A set of data from the UK's National Grid FRA database, was used to demonstrate and verify the SVm model. All transformers used in this study are 400/275/13 kV transmission transformers, which were designed using four different winding types, namely multiple layer, plain disc, interleaved disc and single helical windings. The proposed method can successfully identify the correct winding type.

关键词： winding apply testing

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应用生物工程生产、回收并利用海洋多糖

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中国生物工程杂志 1987年第5期 58-62页

作者： Ronald m.Weirler ,Rita R.Colwell ,Richard N.jarman ,Daniel C.Stein ,Charles C.Somerville ,Dale B.Bonar ,戴宗汉

由于使用重组DNA技术挑选海洋细菌基因库从而增加了多糖产量,海洋多糖在涂料、胶粘剂、饲料、反应底物、食物、医药及生物工程分离等方面的应用日益增多。海洋细菌中的一个新种——LST菌株的多糖外胶粘聚合物(poly-Saccharide adhesivev... 详细信息

由于使用重组DNA技术挑选海洋细菌基因库从而增加了多糖产量,海洋多糖在涂料、胶粘剂、饲料、反应底物、食物、医药及生物工程分离等方面的应用日益增多。海洋细菌中的一个新种——LST菌株的多糖外胶粘聚合物(poly-Saccharide adhesiveviscous exopolymer;简写为pAVE)基因及弧菌属vulnifieus菌株的壳二糖基因就是

关键词：海洋多糖生物工程黄原胶海洋细菌生物学黄胞胶海洋微生物琼脂多糖产量

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孩童患多动症与父母遗弃关系的临床群体研究

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世界核心医学期刊文摘（儿科学分册） 2005年第7期1卷 5-6页

作者： Foreman D.m. Foreman D. minty E.B. 李开 Child and Adol.mentalHlth.Service SkimpedHill Health CentreMarket Square Bracknell RG12 ILH United Kingdom Dr.

Background: There is increasing recognition that child based, as well as parent based factors may be associated with children being excluded from their *** the distress routinely observed among the parents of hyperactive children, there is little research on this in clinic ***: To examine removals from home in a typical secondary care population, where hyperkinesis was accurately ***: A total of 201 cases were coded using mulitaxial ICD-10 criteria and jarman indices derived from census ***: Hyperkinetic children were more than three times more likely to have suffered removal from home than children with other psychiatric diagnoses, independent of any psychosocial ***: Hyperkinesis is a specific risk factor for removal from home, which can operate in the absence of other psychosocial *** children for hyperactivity is now simple, and the routine paediatric examination for children accommodated by the local authority gives an opportunity for early detection and treatment of hyperactivity in children at risk of family breakdown.

关键词：群体研究儿童多动症精神疾病病例记录患儿父母社会心理应激检索资料

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