Strategic Capacity and Organisational Capabilities: A Challenge for Universities

Are universities able to operate as strategic actors? An organisational sociology based approach supported by a comparative field research project identifies three types of social, cultural and cognitive processes that play a decisive role in building and implementing local capabilities required to mobilise a strategic capacity. The paper identifies how much these processes are present in the four ideal-types of universities defined by crossing their reputation and their metrics-based performance. Such a meso deterministic perspective suggests that universities may position themselves as proactive actors or principals, and not just as agents of national reforms and political demands. Nevertheless, their ability to do it varies according to their type. The paper also explores the implications of such findings for institutional leadership and steering policymakers.     

Unsustainable Growth,Hyper-Competition,and Worth in Life Science Research: Narrowing Evaluative Repertoires in Doctoral and Postdoctoral Scientists’ Work and Lives

There is a crisis of valuation practices in the current academic life sciences, triggered by unsustainable growth and “hyper-competition.” Quantitative metrics in evaluating researchers are seen as replacing deeper considerations of the quality and novelty of work, as well as substantive care for the societal implications of research. Junior researchers are frequently mentioned as those most strongly affected by these dynamics. However, their own perceptions of these issues are much less frequently considered. This paper aims at contributing to a better understanding of the interplay between how research is valued and how young researchers learn to live, work and produce knowledge within academia. We thus analyze how PhD students and postdocs in the Austrian life sciences ascribe worth to people, objects and practices as they talk about their own present and future lives in research. We draw on literature from the field of valuation studies and its interest in how actors refer to different forms of valuation to account for their actions. We explore how young researchers are socialized into different valuation practices in different stages of their growing into science. Introducing the concept of “regimes of valuation” we show that PhD students relate to a wider evaluative repertoire while postdocs base their decisions on one dominant regime of valuing research. In conclusion, we discuss the implications of these findings for the epistemic and social development of the life sciences, and for other scientific fields.     

奇妙的轴对称和中心对称

在生活中，我们处处都会看到很多美丽的图案。这些图案让人看后感到特别舒服、和谐琊么，为什么它们是和谐的？我们会发现，它们都有一个共同的特点：对称．请看下面四个图形：     

我校档案工作的回顾与展望

档案是人类历史记录的重要载体，档案是人类明进步的阶梯。借助档案，我们能够更好地了解地去，把握现在，预见未来。因此，有必要对我们的档案工作进行回顾、分析，找出问题、展望未来。我校综合档案室的成立到逐渐发展、壮大，取得“企业档案标准合格证”及“科技事业单位档案管理国家二级”。从宏观、微观两方面深入分析了存在的问题及解决的办法、对策，以此来促进和加强我校的档案工作不断向现代化、规范化迈进。     

美国图书馆组织氛围测评的发展脉络及其启示

[目的/意义] 基于对美国图书馆组织氛围测评发展历程的分析,总结相关启示,为我国大规模开展图书馆组织氛围测评研究与实践提供参考。[方法/过程] 从图书馆组织氛围测评产生的驱动因素、测评应用的探索与实践、测评指标的形成与优化、测评的方法及流程等方面系统梳理美国图书馆组织氛围测评的发展脉络,分析其发展历程的特点。[结果/结论] 我国大规模开展图书馆组织氛围测评,应因地制宜,融会贯通,开发本土化测评量表;完善机制,鼓励参与,实施标准化测评模式;以评促管,评建结合,树立良好的测评文化。     

不同语料下基于LDA主题模型的科学文献主题抽取效果分析

[目的/意义]潜在狄利克雷分布(Latent Dirichlet Allocation,LDA)在科技情报分析中用来发现学科主题、挖掘研究热点以及预测研究趋势等。对常见的科学文献文本语料库(关键词、摘要、关键词+摘要)进行LDA主题抽取效果的评价,以揭示不同语料库的主题抽取效果,提高LDA在科技情报分析中的应用效果。[方法/过程]对上述3种语料库下的LDA主题模型进行对比研究,采用基于查全率、查准率、F值以及信息熵的定量分析和基于主题抽取的广度和主题粒度的定性分析相结合的方法对主题抽取效果进行评价。[结果/结论]通过国内风能领域的科学文献数据实证研究发现,无论是从定量分析还是从定性分析来看,摘要和关键词+摘要作为语料的LDA主题抽取的效果均优于关键词作为语料的LDA主题抽取效果,并且前者在主题抽取的广度方面表现更好,而后者抽取的主题粒度更细。     

隆阳区民营经济发展的特点及趋势分析

同经济发达地区相比,隆阳区经济发展落后,多种所有制经济共同发展是隆阳经济的现状,正确认识隆阳区民营经济发展的现状,深入研究探索加快该区民营经济发展的对策和措施,对推动隆阳区委、政府提出的力促个体私营经济大发展、大提高的战略实施具有重要的现实意义.     

浅谈发挥学生在英语教学中的主体作用

本文从英语的教学目的导入,强调了发挥学生主体作用的思想基础；并以学生主体地位确立为依据,就如何发挥学生的主体作用,以及传授知识和发展能力的关系进行阐述。     

A learning-based method to detect and segment text from scene images

This paper proposes a learning-based method for text detection and text segmentation in natural scene images. First, the input image is decomposed into multiple connected-components (CCs) by Niblack clustering algorithm. Then all the CCs including text CCs and non-text CCs are verified on their text features by a 2-stage classification module, where most non-text CCs are discarded by an attentional cascade classifier and remaining CCs are further verified by an SVM. All the accepted CCs are output to result in text only binary image. Experiments with many images in different scenes showed satisfactory performance of our proposed method.     

Shear capacity of reinforced concrete columns strengthened with CFRP sheet

INTRODUCTION There is increased need in recent years for strengthening or rehabilitation of existing reinforced concrete structures adversely affected by overloading, construction material deterioration, seismic loads, structural deformation, etc. An effective method for increasing the shear capacity of reinforced concrete columns is the use of externally bonded carbon fiber reinforced plastic (CFRP) systems (ACI, 2002). FRP systems were first applied to reinforced concrete col-umns i…