Rebuilding higher education institutions in post-conflict contexts: Policy networks,process, perceptions, & patterns

This research explored the rebuilding of a public university, Université Félix Houphouët-Boigny, in the West African nation of Côte d’Ivoire, destroyed as a result of a highly contested Presidential election. We began by viewing rebuilding as the result of policy networks, a pantheon of interdependent actors cooperating and competing to address policymaking. Then we investigated the characteristics of these efforts, focusing on the policies that result from the complex interplay between university stakeholders and government bodies and the subsequent implementation of policy into practice. The study resulted in a preliminary understanding of one institution’s rebuilding efforts.     

Business Action Learning Tasmania (BALT) – an account of practice

Business Action Learning Tasmania’s (BALT) mission is self-reliant industry development, with diverse companies co-operating to improve their profitability, develop their people and grow the local economy. This is achieved through collaborative action learning, with companies working together on projects of vital importance and sharing the learnings. The Tasmanian economy has been in decline for several years due to relative isolation, rising costs of freight, labour, energy and capital, skills shortages, and a high Australian dollar. BALT demonstrates the potential for self-directed action learning between organisations in a regional area to grow the local economy. BALT evolved from an initial Lean Action Learning program conducted in Tasmania in 2010. Since then 5 programs involving 13 companies have been completed, with a further 2 programs and 7 projects underway at time of writing. Representatives from participating companies have played a leading role, with support from the Tasmanian Government. This Account of Practice describes outcomes achieved, evaluation methods, lessons learnt and future aspirations for BALT.     

基于复杂网络的遥感图像检测研究

本文提出一种新的利用复杂网络理论处理遥感图像的方法,对遥感图像进行复杂网络建模,然后对复杂网络模型划分社团,本文所采用的是Newman的针对大规模网络的基于模块度的CNM算法,然后提出了两种确定阈值的方法：（1）反复测算法,（2）抽样计算法;在反复测算法中提出了两个衡量社团划分好坏的指标：（1）覆盖率,（2）精确度,以此作为确定阈值的指标,最后得出了一种可以再遥感图像中利用复杂网络的方法,检测出图像中有用信息的可行方法。     

体育：一种“人化物”的延展

"人化性质""非必要性"与"追求卓越"是蕴涵在体育之中的3个重要特征。主要采用文献资料法,在巴里·艾伦的"人化物"理论的基础上对这3个特性进行哲学化的描述与定位,以哲学人类学的方法在体育史的维度上梳理在古希腊体育、中世纪体育与现代体育中"人化性质""非必要性"与"追求卓越"这3个特性的或隐或显的历史传递,由此实现在"人化物"理论与舍勒"内驱力"理论襄助下对体育史和体育概念的重新解读,形成对体育内在价值的挖掘,并在重构与反思的基础上提出哲学人类学方法在体育史中的研究价值。     

Academic departments as networks of informal learning: faculty development at liberal arts colleges

In this article, we consider the role of departmental contexts and relationships in faculty work within liberal arts colleges. Knowledge about how departmental networks relate to success and satisfaction may inform the work of those who support faculty work in liberal arts colleges, as well as other institution types. Analysis of quantitative and qualitative survey data from faculty members at 13 liberal arts colleges in the US suggests that informal departmental relationships influence faculty experiences. Findings suggest that departmental leaders and colleagues are sources of professional development and support, but that counter-productive behaviours interfere with such support and foster negative workplace cultures.     

BP神经网络模型预测Phoredox工艺出水CODcr研究

根据污水处理过程去除污染物的非线性特点,建立基于BP神经网络的Phoredox工艺出水CODcr仿真预测模型,预测和验证某污水处理厂实测数据,并通过权值贡献指数分析确定了各种输入因素对出水CODcr浓度的影响。     

社会网络在开放式知识创新中的应用价值研究

通过对关于社会网络、知识创新和开放式创新相关文献进行回顾,试图探索社会网络的不同类型、社会资本的不同维度如何影响知识创新。分析结果显示出社会网络不同因素与其成员创造知识的能力之间存在复杂关系。研究结果表明密集型网络中的知识类型趋向于同质性,而松散型网络中的知识类型趋向于异质性。针对不同类型的网络结构提出开放式知识创新策略。最后,设计社会网络中开放式知识创新的模型。     

基于社交关系和影响力的在线社交网络用户兴趣偏好获取方法研究

在线社交网络成为人们网络生活的最主要平台,人们基于兴趣偏好等原因集聚形成各个网络社区,共同参与感兴趣话题的讨论,表达自己的观点和看法,寻找感兴趣的内容,因此识别在线社交网络中用户的兴趣偏好,具有重要意义.本文首先分析用户在社交网络中的行为,提出从用户发布信息、基于共同参与话题的社交关系中寻找相似兴趣最近邻,和再考虑用户在社交网络中影响力的相似兴趣最近邻,三种获取用户兴趣偏好的方法.最后利用百度贴吧数据集实验,比较三种方法的使用效果.实验表明考虑用户影响力的最近邻方法获取用户兴趣偏好的方法效果最好,而且这种方法不需要利用用户本身信息,仅仅只需要通过其最近邻用户就可以获得更加准确的用户兴趣偏好.     

学科知识网络研究（Ⅱ）共被引网络的结构、特征与演化1）

本文研究了知识网络中的文献共被引网络,它形成着一个学科的知识基础,是学科知识输入和转移的重要知识之源。文章在总结和梳理了共被引网络的一般研究方法后,采集了1900~2012年图书馆与情报学的71350条题录数据,构建了期刊共被引知识网络与作者共被引等知识网络,并对其进行深入数据挖掘和分析,发现了经常反复被引的学科内核心期刊与作者群体,以及在学科的演化历史上连接前后时段的关键性节点期刊与作者群体。论文的最后还对文献共被引网络方法局限性方面和未来发展方面进行了讨论与总结,指出在解决现有理论难题后,共被引网络未来在各具体学科领域内的深化将是其发挥用武之地的重要发展方向。     

学科知识网络研究（Ⅲ）共词网络的结构、特征与演化1）

共词网络是科学知识网络的有机组成部分,本文总结了针对学科的共词网络研究的方法、程序和图谱绘制流程,采集了1900~2012年图书馆与情报学领域国际期刊的数据,将其中的高频关键词利用学科共词网络图谱展示出来。在剖析网络结构特征的基础上,得到7个子网络,其主题分别对应于知识管理、图书馆、信息检索、信息技术、文献计量、信息政策、电子商务等,7个图书馆与情报学领域的热点主题基本都是图书馆与情报学目前研究的热点主题。本文还设计了主题-主题共现矩阵,使用了以主题本身为节点的主题层级的网络图谱揭示了这七个主题之间的关联,分析了七大热点主题的核心关键词词频随着时间变化的演化图谱,最后着重对学科共词网络的研究方法的局限性进行了反思和讨论。