媒介融合背景下医学科技期刊的全媒体出版方案实践探究

【目的】 探索互联网时代媒介融合背景下医学科技期刊全媒体出版方案的具体举措,介绍《中华医学杂志(英文版)》(CMJ)实践情况。【方法】 对相关文献进行梳理,分析国内外网站情况及CMJ实践经验。【结果】 目前全媒体出版方案措施主要包括基于XML技术的网络发布及移动端出版、多媒体内容展现、优先数字出版、邮件推送及微平台发布,CMJ正实践上述方案。【结论】 医学科技期刊可结合自身情况,采取融合式全媒体出版方案;CMJ已初步实现全媒体出版,但仍需进行优化。     

健身俱乐部会员猝死事件中安全保障义务法律分析*——以中国裁判文书网36份裁判文书为样本分析

健身俱乐部会员猝死事件是体育伤害事故中比较特殊的一类,其归责较为复杂。其中对健身俱乐部是否履行 安全保障义务的考察 是责任确定的重要方面。文章主要通过案例分析、逻辑分析等方法,通过对中国裁判文书网36份裁判文书进行样本分析,研究了健身俱乐部会员猝死事件的判决结果,并从司法实践角度分析了健身俱乐部承担赔偿责任的判决理由。通过健身俱乐部安全保障义务的理论分析,提出判断 健身俱乐部是否履行安全保障义务的硬件标准和软件标准,同时就 加重消费者责任的格式条款 是否有效的问题进行了分析。最后文章就健身俱乐部如何完善安全保障义务提出了具体的建议。     

北京冬奥会网页宣传的色彩设计探索——以人民网冬奥专栏为例

基于人民网2014年索契冬奥会以及2018年平昌冬奥会的专栏报道,利用视觉心理效应对网页色彩进行分析,认为人民网冬奥专题报道网页中色彩使用频率比较低,网页通过色彩建构国家认同的意识牵强,色彩与网页各设计元素关联程度欠缺,色彩情感展示程度不足。研究认为:我国大型网络主流媒体应更加重视冬季奥运会的宣传报道,在报道中重视色彩元素的宣传价值性,利用色彩改变文字视觉观感增加文字的可读性,利用色彩对网页进行版式设计优化增加网页的视觉美感,利用具备特殊意义的色彩建构起冰雪运动中的国家认同意识,借此推动我国冰雪运动的普及发展。     

网络课程开发的几点思考——统一架构的网络课程平台开发思路探寻

本文认为,当前网络课程由于缺乏统一的网络课程开发平台、缺乏统一的网络课程体系结构以及缺乏统一的网络课程管理和维护模式等三个方面的不足,制约了网络课程的应用.文章提出一新的网络课程开发与管理方法,可以兼顾"统一"和"个性化"的现实需求,拥有友好的用户界面,管理更具效率,后期的系统功能完善,学习资源的更新更加及时,既有利于学习者的学习,也有利于管理员的维护.     

Recognition of handwritten Arabic alphabet via hand motion tracking

This paper proposes an online video-based approach to handwritten Arabic alphabet recognition. Various temporal and spatial feature extraction techniques are introduced. The motion information of the hand movement is projected onto two static accumulated difference images according to the motion directionality. The temporal analysis is followed by two-dimensional discrete cosine transform and Zonal coding or Radon transformation and low pass filtering. The resulting feature vectors are time-independent thus can be classified by a simple classification technique such as K Nearest Neighbor (KNN). The solution is further enhanced by introducing the notion of superclasses where similar classes are grouped together for the purpose of multiresolutional classification. Experimental results indicate an impressive 99% recognition rate on user-dependant mode. To validate the proposed technique, we have conducted a series of experiments using Hidden Markov models (HMM), which is the classical way of classifying data with temporal dependencies. Experimental results revealed that the proposed feature extraction scheme combined with simple KNN yields superior results to those obtained by the classical HMM-based scheme.     

A case analysis of knowledge sharing implementation and job searching in Malaysia

The aim of this research is to consider an analysis through case studies on how knowledge sharing may be successfully implemented. The study will clarify a conceptualisation that provides a new understanding of the relationship between unemployed graduates and the human capital concept. The cases adopted web documentation for the research technique, and an interpretive approach was used as the research paradigm. Two online recruitment agency sites were analysed through qualitative analysis. The connections show how knowledge sharing can be used as a medium to help unemployed graduates to get jobs through online recruitment agencies. High quality candidates must have good soft skills, problem-solving skills and employable value added skills to get the best jobs. The findings will be expressed as qualitative results from the two online recruitment agencies researched as the case studies for the paper. From these case studies, the findings will contribute to the ongoing study on how to implement knowledge sharing among undergraduates after they finished their studies.     

网上考试系统设计方法研究

随着计算机网络技术在教育领域的广泛应用,传统考试方式的弊端尤为突出,网络考试系统的出现已成为必然。本文重点探讨了基于ASP.NET网络考试系统的设计与实现。     

基于ASP.NET技术网上书店的设计与实现

网上书店(Electronic Commerce)是在Internet开放的网络环境下,基于浏览器/服务器应用方式,实现消费者的网上购书、商户之间的网上交易和在线电子支付的一种新型的商业运营模式。对基于ASP.NET技术网上书店的设计与实现进行了阐述,可以使更多的人对网上购书的实现过程得到进一步的了解。     

数据仓库技术在零售企业中的应用研究

以某零售企业的产品销售为主题,分析和设计了某零售企业产品销售数据仓库,并介绍了基于数据仓库的多维数据分析技术即联机分析处理（OLAP）在其中的应用。     

The effect of fear and situational motivation on online information avoidance: The case of COVID-19

During the COVID-19 pandemic, a plethora of online sources for information and news dissemination have emerged. Extant research suggests that very quickly, individuals become disinterested and begin avoiding the information. In this study, we investigate how an individual's fear and situational motivation impact Online Information Avoidance. Using the self-determination theory and information avoidance theories, we argue that fear and external regulation are associated with increased Online Information Avoidance. We also argue that intrinsic motivation and identified regulation are associated with a decrease in Online Information Avoidance. Our findings suggest that fear, intrinsic motivation, and external regulation drive Online Information Avoidance, where intrinsic motivation is the most significant driver. We also found that identified regulation is a crucial inhibitor of Online Information Avoidance. While focusing on COVID-19, our study contributes to the broader information systems research literature and specifically to the information avoidance literature during a pandemic or a prolonged crisis. Our study's findings will be useful for governments, health organizations, and communities that utilize online platforms, forums, and related outlets to reach larger audiences for disseminating pertinent information and recommendations during a crisis.