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2016-2017赛季CBA总决赛新疆队和广东队技术分析研究
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作者 陈国强 袁俊香 《当代体育科技》 2017年第27期206-207,共2页
本文以2016-2017赛季CBA总决赛新疆对与广东队总决赛为研究对象,从得分能力、投篮次数、投篮命中率、得分占比、罚球命中率、篮板球、助攻和犯规等技术统计指标深入挖掘和总结导致新疆队最终夺冠的多方面因素以及广东队失利的主要原因... 本文以2016-2017赛季CBA总决赛新疆对与广东队总决赛为研究对象,从得分能力、投篮次数、投篮命中率、得分占比、罚球命中率、篮板球、助攻和犯规等技术统计指标深入挖掘和总结导致新疆队最终夺冠的多方面因素以及广东队失利的主要原因和经验教训,为今后CBA职业男篮各个球队技战术发展提供理论上的借鉴,对各球队提升实力备战新赛季及冲冠提供和增加CBA比赛的观赏性也具有一定的理论价值。 展开更多
关键词 CBA总决赛 新疆 广东 技术统计研究
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结构方程建模在我国外语界的使用——回顾与思考 被引量:2
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作者 肖巍 辜向东 《外语测试与教学》 2012年第4期23-30,共8页
结构方程建模(Structural Equation Modeling,SEM)是一种建立、估计和检验变量间线性关系的多元统计技术。其在我国外语界的使用始于1999年。本文以1999到2010年间我国外语界发表的使用SEM进行研究的30篇论文为依据,以使用SEM进行研究... 结构方程建模(Structural Equation Modeling,SEM)是一种建立、估计和检验变量间线性关系的多元统计技术。其在我国外语界的使用始于1999年。本文以1999到2010年间我国外语界发表的使用SEM进行研究的30篇论文为依据,以使用SEM进行研究的步骤为主线,对SEM在我国外语界的使用进行回顾和思考,重在探讨其显露出的问题,并在发挥理论先验性优势、尝试历时研究、拓展应用范围、结合其它统计技术等方面对SEM未来的发展作出展望,以期促进SEM在我国外语界的进一步推广与普及。 展开更多
关键词 结构方程建模 外语研究统计技术 SEM使用 回顾与思考
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Pervasive Computing Location-aware Model Based on Ontology
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作者 蒲芳 蔡海滨 +2 位作者 曹奇英 孙道清 李彤 《Journal of Donghua University(English Edition)》 EI CAS 2008年第3期277-281,共5页
In order to integrate heterogeneous location-aware systems into pervasive computing environment,a novel pervasive computing location-aware model based on ontology is presented.A location-aware model ontology(LMO)is co... In order to integrate heterogeneous location-aware systems into pervasive computing environment,a novel pervasive computing location-aware model based on ontology is presented.A location-aware model ontology(LMO)is constructed.The location-aware model has the capabilities of sharing knowledge,reasoning and adjusting the usage policies of services dynamically through a unified semantic location manner.At last,the work process of our proposed location-aware model is explained by an application scenario. 展开更多
关键词 pervasive computing location-aware model ONTOLOGY
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The expression of the jigging bed porosity and its realizing of the computer detection system
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作者 杜长龙 林明星 袁辉 《Journal of Coal Science & Engineering(China)》 2001年第1期84-87,共4页
This paper proposes the expression of the jigging bed porosity based on the jumping height of the jigging bed and water wave. This kind of expression can help to realize the jigging process automation and intelligence... This paper proposes the expression of the jigging bed porosity based on the jumping height of the jigging bed and water wave. This kind of expression can help to realize the jigging process automation and intelligence. The computer detection system is also developed. 展开更多
关键词 JIG BED POROSITY INSPECTION
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40 Years of Applied Linguistics: Investigating Content Areas, Research Methods, and Statistical Techniques 被引量:1
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作者 Reza KHANY & Khalil TAZIK University of Ilam Iran 《Chinese Journal of Applied Linguistics》 SCIE 2017年第3期316-332,350,共18页
This review study was designed to map out the research trends through an intensive text analysis of 1,366 research articles (RAs) of applied linguistics during the past 40 years (from 1976 to 2015). RAs were coded... This review study was designed to map out the research trends through an intensive text analysis of 1,366 research articles (RAs) of applied linguistics during the past 40 years (from 1976 to 2015). RAs were coded and analyzed by four analysts to identify their content of research, research methods, and statistical procedures. It was found that there has been an increase in the number and the average length of articles. The average length has been on the rise from 8.09 pages in 1976-1985 to 14.38 during 2006-2015. The extensive review of the RAs also revealed a broad range of themes that belonged to 34 research domains. SLA, Technology 8: Language Learning, Language Teaching Methodology, Language Testing, and Psycholinguistics were the most widely researched areas. The qualitative method with 33.97% was the dominant research method in the journals. Regarding the statistical techniques, it was illustrated that descriptive statistics, Pearson correlation, ANOVA, and t-test were the most commonly used procedures in the applied linguistic RAs. 展开更多
关键词 applied linguistics content areas research methods statistical techniques
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