中专学校毕业生就业难的原因浅析及对策

解决中专学校就业难的问题不仅是中专学校的首要问题,而且也是我国实施"科教兴国"战略的重要举措,同时还是振兴经济发展,全面建设小康社会的重要基石,这一问题已经得到了社会各方面的关注.从当前中专生就业形势出发,分析了就业难的原因,并提出了相应的对策.     

怎样求数列前n项的和

数列是高中数学的重要内容之一,也是高考必须的知识点,本文就数列前 n 项的求和问题作了较细的分类讨论。对掌握数列前 n 项求和问题有较大帮助。     

学校设立“小金库”的主要手段和查证技巧

伴随审计制度的深化,面对审计力度逐步和持续加大的势态,学校＂小金库＂的设立手段和形式呈现出不断翻新并且更加隐蔽,笔者结合查证学校＂小金库＂的实践,提出一些针对性查证技巧,与同行商榷.     

创造性的研究进展及发展趋势

创造性作为一个整体,对个体和社会都有显著的益处。在最近几十年里,许多的研究已经集中在创造性方面。本文对创造性人格、产品、压力和过程等方面的研究进行回顾,在此基础上从创造性研究的内隐理论、外显理论和趋势分析中对创造性研究的发展趋势进行展望,并对未来持续研究或中断的研究主题进行概述。     

基于“问题-用户”的网络问答社区专家发现方法研究

[目的/意义] 以网络问答社区为研究对象,提出基于“问题-用户”传播网络的专家发现方法,为建立用户激励机制、完善专家推荐方法提供借鉴。[方法/过程] 通过分析开放问答模式的特点,以“问题”和“用户”为节点、“答题关系”为有向边,构建“问题-用户”权威值传播网络,利用答案质量改进加权的HITS算法。[结果/结论] 提出的算法可以较好地兼顾用户的答题数量与答案质量,能够选择出活跃度高、知识渊博的用户作为专家。     

Setting the Stage and Keeping Sane: Implementing ArchivesSpace at the University of Minnesota

As the University of Minnesota's Archives and Special Collections began the daunting task of migrating into ArchivesSpace over 5,000 finding aids from fifteen different units, a clearly defined workflow provided clarity and success. This article outlines how staff developed an implementation timeline and workflow, harnessed support from partners in IT, provided training, and what the benchmarks to success were. By sharing this well-documented and thought-out implementation workflow, it can provide guidance as others try to navigate the many moving parts of implementing new collection management technology.     

“一个代表”重要思想是对马克思主义建党理论的伟大创新

马克思主义普遍原理与中国社会实际相结合,产生了两大理论成果：毛泽东思想和邓小平理论,实现了马克思主义革命理论和马克思主义社会主义理论的伟大创新。以江泽民同志为核心的中央领导在新的社会实践条件下提出的“三个代表”重要思想,是马克思主义的最新理论成果,实现了马克思主义建党理论在我国的伟大创新。     

Transformation and Closure for Anatomical Donor Families that Meet Medical Students

The University of Oklahoma College of Medicine has conducted an annual Anatomical Donor Luncheon where families of the anatomical donors met anatomy dissection groups of medical students. The luncheon presented an opportunity for donor family members to share the life story of their loved one with the medical students prior to the start of the anatomy course. This study was designed to understand the impact of the Anatomical Donor Luncheon on families of the donors. Seven families in two different focus groups were included to explore the reactions and attitudes of the donor families to meeting the medical students. Conversations were digitally recorded and transcribed. Qualitative analysis of textual data were coded by three investigators using the Constant Comparative Method. To provide evidence of validity, a form of member checking was utilized. For further triangulation, an analyst not involved in conducting the focus groups or analyzing the data, re-coded all data. This analyst used categories and themes identified by the original analysts, ensuring validity of the themes and any negative cases (data not supporting or contradictory of the established categories and themes). One meta-theme and three sub-themes were identified. The meta-theme was Donor Family Participants Experience Transformation and Closure, and sub-themes were Motivators for Participation, Optimal Venue Factors, and Optimal Medical Student–Anatomical Donor Family Interactions. Study findings indicated the Anatomical Donor Luncheon facilitated closure on the death of their loved one, and transformed their apprehension about the luncheon and body donation into an attitude of gratitude and appreciation.     

论我国城镇地区高知女性的择偶困境——以苏州市吴中区为例

基于分受教育程度,对苏州市吴中区20—29岁（2006年）已婚夫妇的教育匹配、年龄匹配、户籍匹配、地域匹配与独生子女身份匹配进行分析,在此基础上结合城镇高知女性所处的教育发展环境与独生子女性别年龄结构对城镇高知女性不得不面对的择偶困境原因进行了探索,认为城镇女大学生与男大学生数量在婚龄差上的错位及城镇独生女与独生子数量在婚龄差上的错位是造成城镇高知女性择偶困难的重要客观原因。     

Expert group formation using facility location analysis

In this paper, we propose an optimization framework to retrieve an optimal group of experts to perform a multi-aspect task. While a diverse set of skills are needed to perform a multi-aspect task, the group of assigned experts should be able to collectively cover all these required skills. We consider three types of multi-aspect expert group formation problems and propose a unified framework to solve these problems accurately and efficiently. The first problem is concerned with finding the top k experts for a given task, while the required skills of the task are implicitly described. In the second problem, the required skills of the tasks are explicitly described using some keywords but each expert has a limited capacity to perform these tasks and therefore should be assigned to a limited number of them. Finally, the third problem is the combination of the first and the second problems. Our proposed optimization framework is based on the Facility Location Analysis which is a well known branch of the Operation Research. In our experiments, we compare the accuracy and efficiency of the proposed framework with the state-of-the-art approaches for the group formation problems. The experiment results show the effectiveness of our proposed methods in comparison with state-of-the-art approaches.