Quality flaw prediction in Spanish Wikipedia: A case of study with verifiability flaws

In this work, we present the first quality flaw prediction study for articles containing the two most frequent verifiability flaws in Spanish Wikipedia: articles which do not cite any references or sources at all (denominated Unreferenced) and articles that need additional citations for verification (so-called Refimprove). Based on the underlying characteristics of each flaw, different state-of-the-art approaches were evaluated. For articles not citing any references, a well-established rule-based approach was evaluated and interesting findings show that some of them suffer from Refimprove flaw instead. Likewise, for articles that need additional citations for verification, the well-known PU learning and one-class classification approaches were evaluated. Besides, new methods were compared and a new feature was also proposed to model this latter flaw. The results showed that new methods such as under-bagged decision trees with sum or majority voting rules, biased-SVM, and centroid-based balanced SVM, perform best in comparison with the ones previously published.     

Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods

Cross-Company Churn Prediction (CCCP) is a domain of research where one company (target) is lacking enough data and can use data from another company (source) to predict customer churn successfully. To support CCCP, the cross-company data is usually transformed to a set of similar normal distribution of target company data prior to building a CCCP model. However, it is still unclear which data transformation method is most effective in CCCP. Also, the impact of data transformation methods on CCCP model performance using different classifiers have not been comprehensively explored in the telecommunication sector. In this study, we devised a model for CCCP using data transformation methods (i.e., log, z-score, rank and box-cox) and presented not only an extensive comparison to validate the impact of these transformation methods in CCCP, but also evaluated the performance of underlying baseline classifiers (i.e., Naive Bayes (NB), K-Nearest Neighbour (KNN), Gradient Boosted Tree (GBT), Single Rule Induction (SRI) and Deep learner Neural net (DP)) for customer churn prediction in telecommunication sector using the above mentioned data transformation methods. We performed experiments on publicly available datasets related to the telecommunication sector. The results demonstrated that most of the data transformation methods (e.g., log, rank, and box-cox) improve the performance of CCCP significantly. However, the Z-Score data transformation method could not achieve better results as compared to the rest of the data transformation methods in this study. Moreover, it is also investigated that the CCCP model based on NB outperform on transformed data and DP, KNN and GBT performed on the average, while SRI classifier did not show significant results in term of the commonly used evaluation measures (i.e., probability of detection, probability of false alarm, area under the curve and g-mean).     

高校体育教学改革研究

根据教育部下发的《全国普通高等学校体育课程教学指导纲要》，从当前国内外体育教学现状、未来高校体育教学发展趋势以及体育教学改革中的矛盾等方面进行了分析研究。     

中华人民共和国第10届冬季运动会冰壶比赛调研报告

采用文献资料调研、数理统计、调查等方法 ,对参加第 10届冬运会各参赛队情况进行调研分析 ,根据我国冰壶运动的现状及发展趋势进行研究 ,找出目前存在的问题 ,并提出相关建议。     

教师专业化背景下反思型体育教师培养模式

教师的专业化发展要求教师成为反思型教师,而反思型教师的成熟和发展离不开教育实践的锻炼和促进,只有将实践中反映出来的问题上升到理论层面加以反思,才能探寻到根源,使主体的合理性水平得到提升和拓宽.体育教师要坚持积极的自我反思与实践,以主体身份投入其中,扩大自己的专业视野,逐步养成教育反思的习惯,建立自我反思机制,成为反思型教师,同时促进教师专业化发展.     

国民体质与军人体质的研究现状及发展趋势

在对国内外国民体质与军人体质研究现状进行综述的基础上，阐述了当今体质研究的发展趋势，并对军人体质研究工作提出了若干设想。     

我国单位制的变革与单位体育的发展走向

随着改革的深入发展，我国传统的单位制开始松动，但是单位依然存在。特别是在社区成为改革中日益凸现的社会存在的今天，单位体育应如何发展是社会体育发展中的一个重要的问题。从这一背景出发，在论述单位制改革与社区凸现的基础上，分析了我国单位体育面临的问题及其与社区体育结合的必然性。     

要将青年学生的思想道德教育放在首位

在学生的各种素质中,思想道德素质是最重要的素质。思想道德素质教育和培养重在引导;用丰富多彩的校园文化陶冶学生的道德情操,引导青年学生参与社会实践,帮助青年在社会大课堂中学习政治和人生。     

从第36届世界体操锦标赛看世界男子竞技体操运动的发展态势

采用调查访问、录像统计和资料研究等方法对第36届世界体操锦标赛男子单项前8名 运动员的比赛成绩、动作难度和完成情况进行了统计和比较研究。结果表明,体操单项比赛的竞 争呈现出垄断性;体操运动的发展呈现出竞争格局的多极性;规则对体操运动发展具有导向性。     

人体上下肢长预测方法的研究与应用

人体生长发育过程中，具有非等比性和向心律的特点，在生长发育结束以前测评出的形态比例关系，不能直接说明成熟后的情况。通过对7～18岁儿童少年发育状况的调研，提出了人体上下肢长与身高比例关系的预测方法。