大学毕业生的就业问题--基于教育过度的视角

随着我国大学毕业生人数的不断增加,教育过度也日趋大众化。造成毕业生就业难的矛盾和原因很多,其问题的本质在于高等教育的人才培养模式如何与社会发展实现数量和规模上的匹配。为更好解释教育过度现象的症结点所在,本文将从劳动力区域分割角度、高校专业设置和层次结构以及文化角度方面来作详细说明。通过对原因的深层次分析,要解决大学毕业生就业难的问题就要合理设置高校内部的学科与专业,建立人才培养新机制;建立市场招聘信息互联共享机制和转变个人教育和就业观念,鼓励毕业生自主创业。     

《雨霖铃》教学案例

本文结合教材和学生的特点制订了《雨霖铃》的教学目标和教学步骤,在鉴赏环节的设计上充分发挥学生的自主合作能力,实现了教师引导、学生为主体的教学理念,学生也获得了鉴赏诗词的经验。教师课后进行了反思,总结了这堂课的优点和不足之处,并提出了改进的方法。     

职校学生英语语音发音状况浅析

英语语音的习得是英语学习必经的一个基础环节,对英语学习者而言,发音的偏差是造成他们“聋子英语”、“哑巴英语”的根本原因。为此,本文深入研究职校生在英语发音上存在的问题,从参数指标上量化他们发音时所存在的具体偏差,然后有针对性地提出了改进的策略。     

TopRank（k）算法与PageRank算法的比较研究

介绍了一种新的基于接近中心度的排名算法Top Rank（k）,并将其与已有的Page Rank算法进行分析比较,说明了它们各自的特点。通过实证分析,论证了在确定条件下,Top Rank（k）算法比Page Rank算法更有效,突出表现为节省大量时间。     

基于小微企业市场竞合主体的动态博弈

目前关于小微企业R D研究中,大都从政府行为角度出发,很少有涉及小微企业市场主体地位的分析。本文将小微企业作为市场竞合主体的重要组成部分进行了深入分析,认为小微企业作为市场竞合主体的R D路径,主要分为两类：(1)小微企业与大企业建立研发合作关系。根据技术研发价值链的关系,小微企业与大企业的合作关系又可以细分为三类。①研发阶段和产品阶段都合作;②研发阶段合作,产品阶段不合作;③研发阶段不合作,产品阶段合作。(2)小微企业之间通过构建研发合作联盟与大企业进行竞争。从而得出小微企业与大企业的R D合作收益大于独立R D收益;小微企业之间的R D合作是不稳定的。并对此提出一些合理建议。     

上市公司财务预警模型——Y分数模型的实证研究

本文采用了统计方法中的主成分分析法，通过对我国上市公司财务危机状况的实证研究，建立了上市公司财务预警模型——Y分数模型，并通过本次研究中选择的样本指标，初步确定了企业财务状况评价区域，为企业预测财务危机提供了一种科学可行的预测方法。     

基于AHP/GRAP的供应商选择研究

文章针对供应商选择过程的复杂性,信息不充分性,建立了一个简捷合理的评价指标体系,并提出了基于层次分析法(AHP)和灰色关联分析(GRAP)相结合的决策模型,通过实例证明了该方法是可行,有效的。     

Application of real options analysis for pharmaceutical R&D project valuation—Empirical results from a survey

Real options analysis was often recommended as an emerging valuation technique for high-risk investment projects. Former inter-sectoral surveys have drawn an ambivalent picture of real options usage in general. In addition, there is a lack of sector-specific investigations. In the following article the results of an in-depth analysis of collected empirical data regarding the application of this new tool in the pharmaceutical sector is presented by capturing the internal view from the pharmaceutical companies themselves and the external view from the health care departments of financial service firms. R&D stage specific modi of application, reasons for reluctance in the employment of real options and their assumed future prospects are elucidated.     

The information seeking behaviour of the users of digital scholarly journals

The article employs deep log analysis (DLA) techniques, a more sophisticated form of transaction log analysis, to demonstrate what usage data can disclose about information seeking behaviour of virtual scholars – academics, and researchers. DLA works with the raw server log data, not the processed, pre-defined and selective data provided by journal publishers. It can generate types of analysis that are not generally available via proprietary web logging software because the software filters out relevant data and makes unhelpful assumptions about the meaning of the data. DLA also enables usage data to be associated with search/navigational and/or user demographic data, hence the name ‘deep’. In this connection the usage of two digital journal libraries, those of EmeraldInsight, and Blackwell Synergy are investigated. The information seeking behaviour of nearly three million users is analyzed in respect to the extent to which they penetrate the site, the number of visits made, as well as the type of items and content they view. The users are broken down by occupation, place of work, type of subscriber (“Big Deal”, non-subscriber, etc.), geographical location, type of university (old and new), referrer link used, and number of items viewed in a session.     

In search of query patterns: A case study of a university OPAC

A transaction log analysis of the Nanyang Technological University (NTU) OPAC was conducted to identify query and search failure patterns with the goal of identifying areas of improvement for the system. One semester’s worth of OPAC transaction logs were obtained and from these, 641,991 queries were extracted and used for this work. Issues investigated included query length, frequency and type of search options and Boolean operators used as well as their relationships with search failure. Among other findings, results indicate that a majority of the queries were simple, with short query lengths and a low usage of Boolean operators. Failure analysis revealed that on average, users had an almost equal chance of obtaining no records or at least one record to a submitted query. We propose enhancements and suggest future areas of work to improve the users’ search experience with the NTU OPAC.