中外情报学论文创新性特征研究

[目的/意义] 综合运用定性与定量相结合的方法对近年中外情报学论文的创新性进行分析和对比，揭示情报学领域研究的创新性特征，发现领域学术论文中创新句内部的知识关系，进行更细粒度的论文创新性分析，为研究领域创新点深层次利用提供条件，同时丰富科技论文创新性监测的途径，促进科学研究创新。[方法/过程] 从句子级创新性识别出发，选取中英文各两种情报学期刊作为样本，采用信息抽取和机器学习的方法，将创新句的抽取从现有的摘要扩展到全文，充分利用句子结构和句法特征识别领域创新内容，探讨近年中外情报学论文在创新对象、主题、类别等方面的特征，并做对比分析，最后通过对自动分类的论文集合进行定性的内容分析，总结归纳出中外情报学论文创新的表达范式。[结果/结论] 从创新的表达来看，中外情报学论文创新句的分布情况基本一致，英文期刊论文创新的表达更丰富。从创新性特征来看，英文情报学期刊论文创新主题较集中，而中文主题多样和分散；具体方法的创新是近年情报学领域的创新热点，而在研究方法上创新不足；中英文情报学期刊论文的创新性特点都反映了应用研究、实证研究的成果较多，而理论创新推动缓慢的趋势。     

Neighborhood crime undermines parenting: Violence in the vicinity of households as a predictor of aggressive discipline

Child discipline is a central component of parent-child interactions. Evidence suggests corporal discipline impairs children’s physical, cognitive, and socioemotional development and compromises their future chances, especially since it is more frequently used against at-risk children. Using geocoded data for 1209 children under the age of five and their mothers, this study analyses the relation between the occurrence of crimes in close proximity to households in four major urban municipalities of Colombia and a particularly violent corporal discipline practice: hitting children with objects. Results indicate that exposure to violent crimes, such as homicides and personal injuries, predicts a higher probability of hitting children with objects, even after controlling for a set of individual, family, and neighborhood characteristics. Sensitivity analyses suggest violent crimes are not related to other discipline methods, and less threatening crimes, such as robbery and drug trafficking, are not associated with hitting children with objects. These findings suggest households’ walls are permeable, and outside threats may interfere with families’ dynamics and well-being. Future directions and implications are discussed.     

基于深度学习的中文专利自动分类方法研究

[目的/意义] 面向当前国内专利审查和专利情报分析工作中对于海量专利分类的客观需求，设计了7种基于深度学习的专利自动分类方法，对比各种方法的分类效果，从而助力专利分类效率和效果的提升。[方法/过程] 针对传统机器学习方法存在的缺陷，基于Word2Vec、CNN、RNN、Attention机制等深度学习技术，考虑专利文本语序特征、上下文特征以及分类关键特征，设计Word2Vec+TextCNN、Word2Vec+GRU、Word2Vec+BiGRU、Word2Vec+BiGRU+TextCNN等7种深度学习模型，以中国专利为例，选取IPC主分类号的"部"作为分类依据，对比这7种模型与3种传统分类模型在中文专利分类任务中的效果。[结果/结论] 实证研究效果显示，采用考虑语序特征、上下文特征及强化关键特征的深度学习方法进行中文专利分类具有更优的分类效果。     

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.     

数字图书馆与数字化分类法

数字化分类法不仅要能够适合传统文献的分类检索 ,也应能适应各种信息尤其是网络信息的分类和检索。它应借鉴搜索引擎构建多维的分类体系和多途径检索 ,吸收我国已有的信息分类编码成果 ,具有自动搜索、分析、标引和著录的智能性。参考文献 6。     

高师美术教育学科的定位与走向

高师美术教育的繁荣与发展,面临着许多机遇和挑战。在新时期,师范院校的美术教育应符合当前形势的需要,结合高等师范类美术教育的改革,明确自身定位,突出自身特色,并确立切合实际的美术教育新理念,以适应当前的新形势、新任务和新要求。     

社区体育的起点研究

为研究科学合理地划分社区体育，不失时机地抓好社区体育的起点问题，在调查我省社区体育建设的初步实践基础上，用调查访问法和因素分析法，对目前可行的社区体育的几种类型进行科学论证，提出了结合当前各地社区体育的实际，可供具体优选和应用的几种社区体育的类型。     

RESEARCH SECTION: Examining the nature and perceived causes of indiscipline in Zimbabwean secondary schools

The problem of student indiscipline is an issue of concern for teachers and parents around the world. Teachers need to maintain student discipline and for them to do so it is important that they also understand the nature of discipline problems. This study, by Lawrence Kofi Ametepee, who is studying for a PhD in special education, Morgan Chitiyo, board certified behaviour analyst and Assistant Professor of Special Education, both at Southern Illinois University, Carbondale, USA, and Susan Abu, who is currently a graduate student in the Department of Women's Studies at Texas Women's University, was designed to examine the nature and perceived causes of student indiscipline in Zimbabwean secondary schools. The authors anticipate that such an examination will promote teachers’, parents’ and policy makers’ understanding of student indiscipline, which will, in turn, enhance disciplinary policies and practices, making schools safer for all students and more effective in their role as educational and socialising agents.     

VISION:集成分类法、主题词表和语义元数据的概念网络

本文提出了一种在分类法和主题词表的基础上集成语义元数据、构建概念网络、实现概念检索的方法.和其他的概念检索系统相比,它的最大特色是在检索之前先将信息资源根据其内容和主题组织到概念网络中.这样的概念网络,既是一个资源组织的框架,又是一个知识浏览和概念检索的信息空间.同时,还能支持用户学习.文章介绍了国内外概念检索的研究现状,讨论了集成分类法、主题词表和语义元数据构建概念网络的方法和好处.介绍了一个原型系统VISION,它是在<中国分类主题词表>的基础上,利用北京大学图书馆计算机类的书目数据实现的.文章最后进行深入讨论并介绍下一步的研究工作.     

运动员心脏功能典型指标的选择与评价

本研究运用相关检验和聚类分析法等对三十多个心脏形态、功能指标进行了筛选分析，选择出适合评定运动员心脏功能的典型指标，并对所选指标的应用进行了评价。