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prediction study for articles containing the two most frequent verifiability flaws in Spanish Wikipedia: articles which do not cite any references or sources at all (denominated Unreferenced) and articles that need additional citations for verification (so-called Refimprove).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.     

Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com

In this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.     

Recording the war effort: immigrant communities in Latin America and the memory of the Great War

ABSTRACT

This paper aims to analyse the initiatives undertaken by some immigrant communities residing in Latin America to record their mobilisation around the First World War. After the armistice, European communities in Argentina, Bolivia, Brazil, Chile, Mexico, Paraguay, Peru, Uruguay and other countries gathered detailed information about their activities during the conflict, published as profusely illustrated books of remembrance, offered to their governments as proof of their loyalty. The article intends to establish the peculiar nature of these publications as records of the war effort, and analyse the agents and processes of their elaboration, and their role as commemorative but also as archival documents.     

论军队院校图书馆数字化特色馆藏建设

建设军队院校图书馆数字化馆藏要处理好在线获得与非在线获得、特色数据库与特色数字馆藏、信息组织中《中图法》与军事学科体系、军事信息与其他信息的关系。实行联采、统编、分藏是解决军队院校图书馆数字化特色馆藏问题的有效方法。参考文献4。     

论超文本技术在分类法编制中的应用

超文本是检索语言编制和维护理想的技术支持手段。使用超文本技术 ,可以改进分类体系中主题之间多维关系的揭示、从多个角度组织信息资源、进行轮排、设置镜像类目、动态组织分类体系以及联结不同的检索系统、联结说明与规则系统等。同时 ,应注意从超文本结构的角度重新审视原有的关于知识组织的理论、方法 ;探讨新技术方法的使用特点和规律 ;研究分类结构中整体控制问题     

多媒体在武术难度动作创新中的实用性研究

运用多媒体技术辅助教练员和运动员创编竞技武术套路高质量难新动作,辅助运动员加快完成目标动作的定型过程,对创新难度动作在训练中出现的问题进行及时的目标反馈、重构和完善,提高了创编的效率,减少了运动员在创新难度动作的探索阶段中不必要的损伤。     

论李清照的诗人形象

李清照是我国宋代著名女词人，以婉约派词家著称于世。她不仅精于填词，而且工诗善文。在她为数不多的诗作中，风格豪放，雄浑悲壮，折射出爱国主义精神的熠熠光彩，并由此展现出李清照的诗人形象：少年成名，才气纵横，锋芒毕露而不知稍加掩敛；身为女子，而有丈夫气，指点江山，激扬文字；成就斐然，却又有自知，勇于自我解剖，敢于素面朝天。     

新课程设置模式下,我校滑冰课教学实践研究

结合我校冬季体育课设置新模式,通过对我校滑冰课教学的实践研究,论证冬季北方高校体育课程设置的科学性、实用性,为高校体育课程改革提供理论依据.     

体育与人类健康的社会学分析

从WHO健康观视角，就体育对人类健康的意义进行了阐述。