大学生就业影响因素中基于粗糙集的智能数据分析方法

大学生就业形势越来越严峻,影响就业的因素众多,各因素对就业情况的影响并不相同,且相互之间存在关联性。基于粗糙集理论,提出大学生就业因素重要度的定量度量方法,建立基于粗糙集的智能数据分析模型,实验结果表明了新型方法的有效性,能够为大学生的在校学习和就业规划提供了重要指导,并为高校培养和企业招聘优秀大学生提供了决策支持。     

教学风险初探

20世纪50年代以来,随着风险管理这一新兴管理学科的迅猛发展,其走入教学范畴是自然而然的事情。教学风险是指教学的实际结果与预期结果间的偏差。导致或加剧教学的实际结果与其预期结果之间的偏差的原因或条件,被称为教学风险的风险因素。依据不同的分类标准,可以对教学风险进行不同的分类。当前我国应加强对教学风险的研究与应对工作。     

淄博市科技服务业发展的宏观环境因素分析

随着科技服务业在推动我国经济转型发展过程中扮演的角色越来越重要,越来越多的专家、学者开始关注 如何更好地将科技服务与区域产业特色有效结合,从而促进地方经济快速高效发展,但是多集中于北京、上海等大城 市研究,对三线、四线中小城市研究不足。本文结合宏观环境分析法（PEST）的方法理论,从政治、经济、社会、技术 四个纬度对淄博市科技服务业面临的宏观发展现状及环境进行简要剖析,找出存在的问题,并结合淄博市实际情况提 出了相应的行业发展对策建议。     

教育政策学视野下的中小学乱收费现象

教育领域内的乱收费现象是当前教育改革和发展中的一个热点问题。中小学乱收费屡禁不止,主要在于中小学收费政策在制定、执行以及监督管理过程中存在政策的失真等。从教育政策学的角度看,中小学乱收费现象需要从制度、体制、监督等方面加以避免、杜绝。     

英语广告双关语的运用技巧及其语用分析

双关作为一种有效的修辞手段,备受广告撰稿人的青睐.本文从谐音双关、语义双关、内涵双关及语法双关等几方面概述了广告双关语的运用技巧,并从语用学角度对广告双关语的合理使用进行了分析.     

我校图书馆查新站2004-2007年科技查新项目统计分析

科研立项、成果验收与鉴定、科技奖励、技术引进等均要通过科技查新来证明其新颖性。科技查新作为图书馆新兴的、具有高科技含量的技术工作是非常重要的。如何与学校科研教学相结合,为地方科技服务是摆在新时期图书馆馆员面前的新课题。     

An Examination and Validation of an Adapted Youth Experience Scale for University Sport

Limited tools assess positive development through university sport. Such a tool was validated in this investigation using two independent samples of Canadian university athletes. In Study 1, 605 athletes completed 99 survey items drawn from the Youth Experience Scale (YES 2.0), and separate a priori measurement models were evaluated (i.e., 99 items, YES 2.0, YES for Sport [YES-S]). Confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) results indicated issues with model fit. Post-hoc modifications improved fit, resulting in a 46-item, 9-factor model with five positive and four negative dimensions. In Study 2, 511 athletes completed the same items. The resultant model was confirmed using both CFA (comparative fit index [CFI] = .911, standardized root mean square residual [SRMR] = .056, root mean square error of approximation [RMSEA] = .040) and ESEM (CFI = .956, SRMR = .023, RMSEA = .034). The resultant University Sport Experience Survey provides a reliable and factorially valid instrument for measuring development in university sport.     

One hundred and fifty years of sprint and distance running – Past trends and future prospects

Sprint and distance running have experienced remarkable performance improvements over the past century. Attempts to forecast running performances share an almost similarly long history but have relied so far on relatively short data series. Here, we compile a comprehensive set of season-best performances for eight Olympically contested running events. With this data set, we conduct (1) an exponential time series analysis and (2) a power-law experience curve analysis to quantify the rate of past performance improvements and to forecast future performances until the year 2100. We find that the sprint and distance running performances of women and men improve exponentially with time and converge at yearly rates of 4% ± 3% and 2% ± 2%, respectively, towards their asymptotic limits. Running performances can also be modelled with the experience curve approach, yielding learning rates of 3% ± 1% and 6% ± 2% for the women's and men's events, respectively. Long-term trends suggest that: (1) women will continue to run 10–20% slower than men, (2) 9.50 s over 100 m dash may only be broken at the end of this century and (3) several middle- and long-distance records may be broken within the next two to three decades. The prospects of witnessing a sub-2 hour marathon before 2100 remain inconclusive. Our results should be interpreted cautiously as forecasting human behaviour is intrinsically uncertain. The future season-best sprint and distance running performances will continue to scatter around the trends identified here and may yield unexpected improvements of standing world records.     

The Florida Geographic Data Library: Lessons Learned and Workflows for Geospatial Data Management

The University of Florida GeoPlan Center has been organizing, standardizing, and distributing geospatial data since 1998 through the Florida Geographic Data Library (FGDL), a collection of Florida geospatial data from various agencies, as well as data developed in-house. With funding from the Florida Department of Transportation (FDOT), FGDL serves as a public distribution mechanism for hundreds of Florida geospatial data layers. Since 2004, FGDL layers have formed the data foundation for FDOT's interagency application known as efficient transportation decision making (ETDM), which facilitates the review and permitting process for proposed transportation projects. Data layers are standardized and inspected to ensure that the data are adequate for use in analysis and decision making. To efficiently manage the geospatial data and workflows, a quality assurance/quality control (QAQC) process and relational database schema was developed to track the standardization procedures, lineage, versioning, and archiving of the data layers. This article details the history of the Florida Geographic Data Library, challenges of managing a large geospatial data repository, development of a QAQC process and database schema, and lessons learned.     

陶瓷过滤机运行主要指标的回归分析

运用描述统计和回归分析的方法,建立了用于判断陶瓷过滤机是否高效运行的2个主要指标之间的回归模型。通过模型分析可知,给料浓度和利用系数之间有较强的线性关系,为提高陶瓷过滤机的过滤效率以及对机器的更新升级提供依据。