Analysis of Academic Libraries' Facebook Posts: Text and Data Analytics

This research analyzed a dataset of academic libraries' posts on Facebook. It applied a text and data analytics approach to a dataset collected from the Facebook posts of academic libraries at the top 100 English-speaking universities, as listed by the 2014 Shanghai World University Rankings. The dataset is from a two-year posting history of 18,333 unique posts, 113,621 likes, and 3401 comments. Less than a quarter of the libraries had more than 2000 post-related likes, and only seven received more than 100 comments on their postings. Content analysis identified the most prevalent single word (unigrams), bigrams (two-word sequences), and trigrams (three-word sequences) in high and low engagement content. Semantic analysis identified the semantic categories for posts with high and low engagement. The findings can assist academic libraries in their social media strategies for engagement, marketing, and visibility.     

Trends of infodemiology studies: a scoping review

Introduction

The health care industry is rich in data and information. Web technologies, such as search engines and social media, have provided an opportunity for the management of user generated data in real time in the form of infodemiology studies. The aim of this study was to investigate infodemiology studies conducted during 2002–2016, and compare them based on developed, developing and in transition countries.

Methods

This scoping review was conducted in 2017 with the help of the PRISMA guidelines. PubMed, Scopus, Science Direct, Web of Knowledge, Google Scholar, Wiley and Springer databases were searched between the years 2002 and 2016. Finally, 56 articles were included in the review and analysed.

Results

The initial infodemiology studies pertain to the quality assessment of the hospital's websites. Most of the studies were on developed countries, based on flu, and published in the Journal of Medical Internet Research.

Conclusion

The infodemiology approach provides unmatched opportunities for the management of health data and information generated by the users. Using this potential will provide unique opportunities for the health information need assessment in real time by health librarians and thereby provide evidence based health information to the people.

     

The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions

Scientific research is increasingly relying on collaborations to address complex real-world problems. Many researchers, policymakers, and administrators consider a multidisciplinary environment an important factor for fostering research collaborations, especially interdisciplinary ones that involve researchers from different disciplines. However, it remains unknown whether a higher level of multidisciplinarity within an academic institution is associated with internal collaborations that are more prevalent and more interdisciplinary. Analyzing 90,000 publications by 2500 faculty members in over 100 academic institutions from three multidisciplinary areas, information, public policy, and neuroscience, we investigated the connection between multidisciplinarity and research collaborations. Based on social network analysis and text mining, our analysis suggests that more multidisciplinary institutions are not necessarily more collaborative, although they do feature collaborations that are more interdisciplinary. Our findings provide implications for academic administrators and policymakers to promote research collaborations and interdisciplinarity in academic institutions.     

朱子《大学章句》建构体系的梳理与析出——志与功相统一的说理方法

朱熹在建构《大学章句》的体系时,采取了一种志与功相统一的说理方法。这种方法既表现在《大学》经章里,也表现在《大学》传章里,而且在不同的说理层次上,存在着不同的志与功的统一,既有纲领之间的志与功相统一,也有条目之间的志与功相统一,这分别体现在经章与传章里,而且基本上呈现出一一对应的关系。     

中文电子病历的分词及实体识别研究

[目的/意义]健康医疗大数据是我国重要的基础性战略资源，本研究对中文电子病历分词与实体识别的探讨与实证较好地完成了医疗数据的信息抽取任务，对今后医疗大数据在语义层面的应用发展具有重要意义。[方法/过程]本研究首先融合权威词表、官方标准、健康网站数据及其他医学补充词库构建了词语数量级达到10万的医学词表；然后对电子病历的字段进行分词，对比了jieba工具、导入词典后的jieba、无监督学习及AC自动机4种模型的分词效果；最后，以自动分词和人工标注结果为语料，实现基于条件随机场的电子病历实体识别研究，并比较不同实体类别以及不同文本特征下的实体识别效果，选出最优模板。[结果/结论]分词结果显示，AC自动机的效果最好，F值可达82%；实体识别结果表明，"检查"和"疾病"实体的识别效果最好，而"症状"的识别效果不太理想。     

Spontaneous spatial strategy use in learning from scientific text

Two studies explored the role of the spontaneous use of spatial note-taking strategies (i.e., creating maps and drawings) and spatial ability in learning from a scientific passage. In Study 1, college students read and took notes by hand on a 10-paragraph scientific passage about the human respiratory system. Students tended to use verbal strategies such as lists (on 48% of the paragraphs), outlines (29%) and running text (15%), but also used spatial strategies such as maps (28%) and drawings (11%). Regression analyses indicated that spatial ability and the use of spatial strategies (maps or drawings) significantly predicted learning outcomes, with spatial strategy use explaining additional variance beyond spatial ability. In Study 2, students read the same scientific passage and took notes either by hand on paper (paper group), by hand on a large whiteboard (whiteboard group), or on a laptop computer (computer group). A similar general pattern as Study 1 was found for the paper group, but this pattern was not found for the computer or whiteboard groups, suggesting that the relationships found in Study 1 might depend on the note-taking medium. Results also indicated that students in the paper and whiteboard groups spontaneously used more spatial strategies, whereas the computer group tended to use verbal strategies (i.e., words only), suggesting that different note-taking contexts encourage different strategies.     

小学语文阅读教学“标准”与“多元”探究

本文概述了"多元解读"的产生及其必要性,以及在实施过程中,如何避免对"多元解读"的过分追求所导致的语文阅读教学的一些误区。同时,本文对"多元解读"的现状加以分析并提出了一些解决问题的策略。     

Using LSA and text segmentation to improve automatic Chinese dialogue text summarization

Automatic Chinese text summarization for dialogue style is a relatively new research area. In this paper, Latent Semantic Analysis （LSA） is first used to extract semantic knowledge from a given document, all question paragraphs are identified, an automatic text segmentation approach analogous to Text＇filing is exploited to improve the precision of correlating question paragraphs and answer paragraphs, and finally some ＂important＂ sentences are extracted from the generic content and the question-answer pairs to generate a complete summary. Experimental results showed that our approach is highly efficient and improves significantly the coherence of the summary while not compromising informativeness.     

英语中的委婉语的构成手段

委婉语是语言使用中人们协调人际关系的一个重要手段，也是人类语言中的一种普遍的语言现象。委婉借助于语音、语法、语用、语义等手段构成，非常得体地表达生活中的那些使人尴尬、令人不快或使人恐惧的事物，本文则主要介绍委婉语的构成手段。     

从衔接词语的翻译失当看英汉语篇中衔接手段合理转换的重要性

英汉互译中衔接手段的合理转换是实现译语语篇连贯的保证。然而在翻译实践中往往存在着转换失当的情况,从而影响了译文的连贯,甚至造成严重的错误。本文通过对一些翻译实例的分析,阐述造成翻译失当的原因,指出衔接手段合理转换对实现译文语篇连贯的重要性。本文还探讨了衔接手段转换的若干方法。