麻省理工学院新工程教育改革的形成、内容及内在逻辑

麻省理工学院进行的三次工程教育改革举世瞩目。2017年8月,该校启动了新一轮工程教育改革,其宗旨是培养能够引领未来产业发展的领导型工科人才,改革的内容涵盖工程教育的出发点、重心、教学方式和发展方向,体现出多重逻辑:从现实到未来的取向,从学科和心理的分离到整合,从学科隔离到跨学科合作,从工程实践的回归到工程教育育人本质的回归等。虽然此次改革仍存在质量保障及认证等方面的问题,但大胆创新的麻省理工精神却再次引发各国关注。该校能否以此改革契机,开启第四次工程教育改革新时代,引领世界高等工程教育发展的新方向,成了举世关注的焦点。     

通识课程内容的探讨——以知识分类理论为依据

本文试图以泰克西纳的知识领域划分对哈佛大学、芝加哥大学、香港中文大学、北京大学的通识课程进行考察。研究发现,中外大学的通识课程基本上覆盖所有的知识领域;中外大学均有数量比较多的文学、音乐和艺术评论及历史课程;不同的大学在通识课程开设中各有传统和偏重。     

Research trends and collaborations by applied science researchers in South African universities of technology: 2007–2017

This paper analyses the publication patterns of researchers in the field of applied sciences at Universities of Technology in South Africa. Aspects investigated include publications in SCOPUS-listed journals; number of citations and countries of publication. Collaborative research patterns at national and international levels were also investigated. A bibliometric analysis approach was followed using SCOPUS as the main source of data and analysing the articles published in selected applied science disciplines. Results show that researchers in the field of applied sciences in universities of technology have increased their number of publications over the past 10?years and are also working in conjunction with other researchers both nationally and internationally. The analysis is an important addition to the field in South Africa which helps in measuring how institutions are positively responding to government incentives in research. The results are also important to information professionals who are increasingly playing an important role in research impact assessments.     

基于WoS数据库的馆际互借与文献传递研究综述

[目的/意义]整体把握馆际互借和文献传递发展脉络,探索馆际互借和文献传递的未来发展趋势。[方法/过程]以WoS核心合集作为统计源,采用文献计量学方法对国外馆际互借与文献传递研究文献的发文时间、国家与地区、机构与作者、发表刊物等进行统计分析;利用HisCite和CiteSpace筛选出重要相关文献,在对其进行阅读归纳的基础上,进行馆际互借研究的发展脉胳与主题分析。[结果/结论]馆际互借可分为传统馆际互借时期（20世纪80年代以前）、馆际互借研究迅速发展期（1980-1990年）、文献传递快速上升期（1990-2000年）、动态发展期（2000-2016年）4个阶段,未来馆际互借员角色应更加多样化。     

一种基于相似度和信任度融合的微博内容推荐方法

[目的/意义]微博对用户获取信息和建立社交网络具有重要作用。提出一种基于相似度和信任度融合的微博内容推荐方法,能够从用户需求出发进行个性化微博内容推荐,对提高微博服务质量、改善信息过载问题具有意义。[方法/过程]基于相似度和信任度融合算法,构建微博内容推荐模型,以新浪微博为研究对象,采用编程方式获取汽车、体育、运动健身、互联网和财经5个领域的数据,展开用户相似度与信任度计算的实验分析和比较。[结果/结论]分析结果显示该方法可以有效表示和挖掘微博内容,改善微博推荐的准确性和用户满意度。     

Google Scholar's Coverage of the Engineering Literature 10 years Later

In 2008 Meier and Conkling first tested Google Scholar's coverage of the engineering literature against citations gathered from the Compendex database. Since that time, other studies have used the same methodology and found improvement in Google Scholar's coverage. This study uses engineering dissertations from Proquest Dissertations & Theses to create a data set of citations for the comparison of fee-based databases, Compendex and Scopus, against Google Scholar. From 1950 to 2017 Google Scholar outperformed both Compendex and Scopus in discoverability of citations in nine engineering subjects. These results have implications for collection management and information literacy program planning for librarians.     

Search boundaries: human flesh search,privacy law,and internet regulation in China

This research examines privacy law and Human Flesh Search (HFS) on the Chinese Internet. HFS is spontaneous, widely participated search and publication of targeted individuals’ personal information on the Internet. This research sees HFS as an important form of non-institutional information gathering and publication, and argues that the regulation of HFS is not only about privacy but also line-drawing for information collection and dissemination in the digital setting. Therefore, legal instruments and court cases in relation to HFS and online privacy must be assessed as important components of the Chinese state’s Internet regulatory scheme. This research finds that the paired concepts of ‘flexibility and populism,’ key features of legal reform and development in contemporary China, are highly relevant to analyze the growth of digital privacy laws in China. The political-legal authorities’ experimentation and innovation in the development of the law shed important light on how China’s Internet governance adapts to changing circumstances and strives to keep pace with profound social transformations in new technological environments.     

复旦大学图书馆数学类英文图书引进及保障数据集

运用引文分析法,选取国内外高校使用的数学类经典教材所引用的参考文献,并对这些参考文献中的英文图书进行引文量统计。继而分别对复旦大学图书馆及CALIS中心数学类英文图书的保障率进行排查检索和测评。共有引文记录10519条,去重后共计8166条英文图书书目信息。本数据集可以对目前我国高等院校图书馆的专业学科类英文图书资源引进和利用提供有效评估和国际参考。     

Supreme Court Review (1960–2009): A Bibliometrical Study

Supreme Court Review is a faculty-edited legal periodical published by the University of Chicago Law School. This periodical is a highly read and cited law review in law, history, and political science. This article applies bibliometrics to a study of the 438 articles that are published in the periodical over a 50-year period. It is analysis of the number of articles by volume, pages, footnotes, authorship by sex, by individual, by institution, and most-cited articles.     

Author ranking evaluation at scale

We evaluate author impact indicators and ranking algorithms on two publication databases using large test data sets of well-established researchers. The test data consists of (1) ACM fellowship and (2) various life-time achievement awards. We also evaluate different approaches of dividing credit of papers among co-authors and analyse the impact of self-citations. Furthermore, we evaluate different graph normalisation approaches for when PageRank is computed on author citation graphs.We find that PageRank outperforms citation counts in identifying well-established researchers. This holds true when PageRank is computed on author citation graphs but also when PageRank is computed on paper graphs and paper scores are divided among co-authors. In general, the best results are obtained when co-authors receive an equal share of a paper's score, independent of which impact indicator is used to compute paper scores. The results also show that removing author self-citations improves the results of most ranking metrics. Lastly, we find that it is more important to personalise the PageRank algorithm appropriately on the paper level than deciding whether to include or exclude self-citations. However, on the author level, we find that author graph normalisation is more important than personalisation.