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民办高等教育是伴随我国高等教育大众化的过程而逐渐发展起来的,其成长于高等教育供不应求的历史背景。在其发展过程中,未能建立起足够的品牌吸引力与公办本科院校进行竞争。随着高等教育供求逐渐平衡和供大于求转变,民办本科院校陷入困境。为求脱困,民办本科院校应立足其资源,定位于应用型本科教育,拓展校企合作深度,并扎根于市场,构建出自己独特的品牌吸引力。 相似文献
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联盟组合为焦点企业及合作伙伴的发展创造了丰富的成长路径,提高了企业的竞争优势。现有研究对联盟构型网络的结构、资源冗余性、路径联系与"网络效应"之间的关系,缺乏系统性、动态性的分析。本文围绕焦点企业,结合社会网络及纵向案例研究方法以大唐移动TD-LTE联盟组合为研究对象;探讨了联盟组合构型网络形成的动因、演化特征和路径;提炼了联盟组合构型网络动态演化框架。研究表明:联盟组合内的资源异质性与构型网络多样化密切相关。随着构型网络的规模扩大、路径依赖的增加,会导致整体网络效率的下降,收益递减。而不同阶段焦点企业的控制治理策略选择、网络的拓展与重构能有效提高联盟组合"网络效应"。 相似文献
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《Information processing & management》2016,52(3):374-386
With constant growth in size of analyzable data, ranking of academic entities is becoming an attention grabbing task. For ranking of authors, this study considers the author's own contribution, as well as the impact of mutual influence of the co-authors, along with exclusivity in their received citations. The ranking of researchers is influenced by the ranking of their co-authors, more so if co-authors are seniors. Tracking the citations received by an author is also an important factor to measure standing of an author. This study proposes Mutual Influence and Citation Exclusivity Author Rank (MuICE) algorithm. We performed a sequence of experiments to calculate the MuICE Rank. First, we calculated Mutual Influence (MuInf) considering three different factors: the number of papers, the number of citations and the author's appearance as first author. Secondly, we computed MuICE incorporating all three factors of MuInf along with the exclusivity in citations received by an author. Empirically, it is shown that the proposed methods generate substantial results. 相似文献
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《Journal of Informetrics》2023,17(3):101421
Identifying research fronts is an essential aspect of promoting scientific development. Many researchers choose their research directions and topics by analyzing their field's current research fronts. Many previous researchers have used academic papers or patents to identify research fronts; however, this is potentially outdated and reduces the prospective value of the research front detection. Considering this, this work proposes adapted indicators to conduct research front topic detection based on research grant data, which aims to identify research front topics and forecast trends using path analysis. First, research topics were identified using topic modeling, and then the mapping relations from topics to both fund projects and cross-domain categories were built. Then, research front topics were detected by multi-dimensional measurements, and the evolution of research topics was analyzed using topic evolution visualization to predict development trends. Finally, the Brillouin index was used to measure the cross-domain degree. Our method was evaluated using a dataset from the field of health informatics and was shown to be effective in research front identification. We found that the proposed adapted indicators were informative in identifying the evolutional trends in the health informatics field. In addition, research grants with higher cross-domain degrees are more likely to receive a high amount of funding. 相似文献
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永磁同步电机数学模型是一个高阶、非线性、强耦合的时变多变量系统,数字离线仿真在实际应用中无法取得理想效果,而采用单片机或DSP的实际电机控制系统又需要编写复杂的程序.基于dSPACE半实物仿真系统设计了永磁同步电机控制实验,在实践中取得了较好效果. 相似文献