提炼嘉兴主题文化彰显禾城特色魅力——嘉兴城市主题文化建设构想

为了彰显嘉兴城市的特色魅力,必须提炼嘉兴主题文化。基于嘉兴城市文化的基本特点和嘉兴城市的独特元素,根据城市主题文化提炼的5个原则,嘉兴城市主题文化可以提炼为"棹歌会府,粽子都会",并可从三个方面来构建:一是"以‘棹歌升处,粽香天下’进行城市宣传,推介嘉兴历史文化名城的新形象";二是"以‘棹歌’、‘粽子’进行文化创意,打造嘉兴文化创意产业的新起点";三是"以‘棹歌’、‘粽子’进行视觉形象塑造,构筑嘉兴城市生活的新环境"。     

昌北高校图书馆联盟虚拟参考咨询服务现状分析

高校图书馆联合虚拟参考咨询服务是一种全新的信息服务形式,深受广大用户的喜爱和欢迎。该文通过对江西省昌北高校图书馆联盟2011年1至6月份虚拟参考咨询的服务人员、服务形式、服务内容、服务效率及存在问题进行调查分析研究,提出提升该联盟虚拟参考咨询服务质量的积极建议及对策。     

《雷雨》人物对话研究

戏剧《雷雨》中有大量的人物对话,在刻画人物性格,表现人物内心世界,推进戏剧冲突方面起到了关键作用。文章主要以周萍为主线,考察他同繁漪、鲁侍萍的对话,对戏中人物对话进行审美分析。     

信息法学产学研联合培养模式研究——以研究生培养为例

产学研联合培养模式是一种新型研究生培养模式,其特点在于将理论与实践充分结合,能显著提高研究生的综合素质与应用能力,是当前信息法学科研究生教育的重要发展趋势。文章分析了我国信息法学产学研联合培养模式的现状及问题,指出目前我国信息法学产学研首先应该建立联合培养的长效机制,同时还应在导师体系、课程体系、质量评价体系等方面进行完善。     

Do resources of network members help in help seeking? Social capital and health information search

Does social capital as resources of network members affect health information search? Analyzing data from the 2004 General Social Survey in the United States, this study measures two social capital indicators (average education of network members and proportion of network members with a high school degree or higher) using the name generator. Most results are consistent using those two indicators. Both indicators are positively associated with frequency of health information seeking and seekers’ frequency of use of two sources (friends or relatives and the Internet). Also average education of network members is positively associated with seekers’ diversity of used sources and frequency of consultation with medical professionals. But neither indicator is associated with seekers’ frequency of use of other four sources (health-related magazines or newsletters, general magazines, daily newspapers, and radio or television programs). The findings demonstrate the theoretical utility of social capital in the social dynamics of medical help-seeking.     

Robust sparse regression and tuning parameter selection via the efficient bootstrap information criteria

There is currently much discussion about lasso-type regularized regression which is a useful tool for simultaneous estimation and variable selection. Although the lasso-type regularization has several advantages in regression modelling, owing to its sparsity, it suffers from outliers because of using penalized least-squares methods. To overcome this issue, we propose a robust lasso-type estimation procedure that uses the robust criteria as the loss function, imposing L₁-type penalty called the elastic net. We also introduce to use the efficient bootstrap information criteria for choosing optimal regularization parameters and a constant in outlier detection. Simulation studies and real data analysis are given to examine the efficiency of the proposed robust sparse regression modelling. We observe that our modelling strategy performs well in the presence of outliers.     

Embodied versus Disembodied Information: How Online Artifacts Influence Offline Interpersonal Interactions

This article examines how the sheer volume of personal information recorded and searchable online (online artifacts) has transformed the situated activity system central to Goffman's dramaturgical theories. In‐depth interviews reveal that individuals believe disembodied information based on online artifacts is a more accurate representation of others than embodied information from spatially and temporally bounded face‐to‐face (FTF) processes because they represent how others have behaved over time and are attested by their online contacts. However, the n‐adic structure of online interaction leads to mismatched expectations about whether disembodied information is taken into account during FTF encounters, and consequently can result in embarrassment.     

Too Scared or Too Capable? Why Do College Students Stay Away from the H1N1 Vaccine?

Although college students were among the populations that had the highest frequency of infection for H1N1 influenza, only 8% of them received H1N1 vaccine this past flu season nationwide. During the peak of this pandemic, information about H1N1 vaccine was widely available. However, knowledge test and behavioral data indicated that most college students were not equipped with basic facts about H1N1 and the H1N1 vaccine. To investigate socio‐psychological factors that might have deterred this high‐risk population from learning about and getting the H1N1 vaccine, this study tested the utility of a risk information seeking model in addressing this health communication problem. Data collected from an online survey of 371 college students showed that respondents seemed to overestimate how much they knew about the vaccine. Risk information seeking, however, positively influenced their intentions to get the vaccine. Results suggested that to communicate effectively to this population, it is important to emphasize the difference between perceived knowledge and actual knowledge, monitor emotional responses to potential risks, and promote getting flu vaccination as a socially desirable behavior.     

学前教育师范生TPACK现状调查及教学改革建议

在“互联网+”及多元文化知识不断融合的教育背景下，信息技术在教学中被提升到一个新的高度。为了解学前教育师范生群体对信息技术知识在教学活动中的应用程度，笔者采用自编的《学前教育师范生TPACK》量表对220名在校学前教育师范生进行调查。统计分析发现：1）学前教育师范生的总体TPACK知识掌握较好，但技术知识仍然较为薄弱；2）学前教育师范生TPACK知识存在显著的年级差异，但性别差异不显著；3）信息技术爱好和训练会造成学前教育师范生TPACK知识的差异。应采取的对策：1）注重培养学前教育师范生的信息技术知识和能力；2）大力推进第二课堂，促进TPK和TCK的发展；3）进行产学研合作，提升学前教育师范生的TPACK水平。     

Empirical Likelihood Inference for the Rao‐Hartley‐Cochran Sampling Design

The Hartley‐Rao‐Cochran sampling design is an unequal probability sampling design which can be used to select samples from finite populations. We propose to adjust the empirical likelihood approach for the Hartley‐Rao‐Cochran sampling design. The approach proposed intrinsically incorporates sampling weights, auxiliary information and allows for large sampling fractions. It can be used to construct confidence intervals. In a simulation study, we show that the coverage may be better for the empirical likelihood confidence interval than for standard confidence intervals based on variance estimates. The approach proposed is simple to implement and less computer intensive than bootstrap. The confidence interval proposed does not rely on re‐sampling, linearization, variance estimation, design‐effects or joint inclusion probabilities.