Making use of cloud computing for healthcare provision: Opportunities and challenges

Cloud or utility computing is an emerging new computing paradigm designed to deliver numerous computing services through networked media such as the Web. This approach offers several advantages to potential users such as “metered” use (i.e., pay-as-you-go) which offers scalability, online delivery of software and virtual hardware services (e.g., collaboration programmes, virtual servers, virtual storage devices) which would enable organizations to obviate the need to own, maintain and update their software and hardware infrastructures. The flexibility of this emerging computing service has opened many possibilities for organizations that did not exist before. Among those organizations are those engaged in healthcare provision. The aim of this article is to shed some light on this development and explore the potential (and future) of cloud computing in contributing to the advancement of healthcare provision. A small case study will also be presented and discussed.     

Implicit aspect extraction in sentiment analysis: Review,taxonomy, oppportunities,and open challenges

Sentiment analysis is a text classification branch, which is defined as the process of extracting sentiment terms (i.e. feature/aspect, or opinion) and determining their opinion semantic orientation. At aspect level, aspect extraction is the core task for sentiment analysis which can either be implicit or explicit aspects. The growth of sentiment analysis has resulted in the emergence of various techniques for both explicit and implicit aspect extraction. However, majority of the research attempts targeted explicit aspect extraction, which indicates that there is a lack of research on implicit aspect extraction. This research provides a review of implicit aspect/features extraction techniques from different perspectives. The first perspective is making a comparison analysis for the techniques available for implicit term extraction with a brief summary of each technique. The second perspective is classifying and comparing the performance, datasets, language used, and shortcomings of the available techniques. In this study, over 50 articles have been reviewed, however, only 45 articles on implicit aspect extraction that span from 2005 to 2016 were analyzed and discussed. Majority of the researchers on implicit aspects extraction rely heavily on unsupervised methods in their research, which makes about 64% of the 45 articles, followed by supervised methods of about 27%, and lastly semi-supervised of 9%. In addition, 25 articles conducted the research work solely on product reviews, and 5 articles conducted their research work using product reviews jointly with other types of data, which makes product review datasets the most frequently used data type compared to other types. Furthermore, research on implicit aspect features extraction has focused on English and Chinese languages compared to other languages. Finally, this review also provides recommendations for future research directions and open problems.     

图书馆全开放管理模式面临的机遇与挑战

针对图书馆采用开放管理模式的应用情况,深入研究在这一新型的管理模式中,对图书馆、读者及整体社会效应方面带来的机遇和挑战。详细论述在新型管理模式中对服务方式、服务内容、服务时间等各方面带来的全面影响,同时也从服务质量、服务效果、社会效应等方面论述了开放式管理模式带来的种种机遇。最后从服务理念、服务管理机制、服务体系硬件建设和服务管理制度等方面阐释了在开放式管理模式下的建设方案。     

技术促进学习的问题与思考

技术促进学习的模式在悄然发生变化,同时,我们也面临一些问题：教师的技能、经验不足,学生对技术不同的接受程度,技术方面不成熟、不完善。由此提出：为教师的教学提供支持,增强教师使用技术的能力;对学生进行调查,了解学生情况;提倡一种多元的软件开发模式。     

中国种子产业的发展、存在问题和政策建议

自新中国成立以来,我国种子产业经历了五个发展阶段,目前已基本完成了商业化种子改革。种子产业的发展有力地促进了我国农业生产的科技进步。但本文分析也表明,现行的政府研究单位主导商业化育种和种子管理属地化的体制,制约了种子产业现代化的进程,并导致种子产业的一系列问题。为此,本文提出了深化政府育种体系和种子产业改革的政策建议。     

大学数学的多媒体教学和热情教学之研究

本文论述了什么是多媒体教学和热情教学,阐述了当代大学数学多媒体教学和热情教学的必要性、迫切性及实施办法。针对现在学生普遍害怕数学的厌学情绪,阐明了如何在大学数学教学中唤起学生学习高等数学的欲望和热情。     

基于有效教学的视角分析初中数学复习课存在的问题

研究基于有效教学的初中数学复习课是促进教师和学生持续进步的需要,也是新课程实施向纵深发展的需要。本文在作者实际调查研究的基础上,归纳了目前初中数学复习课程存在的问题,并站在有效教学的角度上,提出了相应的解决思路。     

浅议化学教学与多媒体技术的关系

化学是探讨物质结构、组成、应用、性质的学科,具有微观性、复杂性与抽象性特点.从化学教学基本特点出发,充分依托多媒体向学生诠释化学现象,能帮助学生更好地理解并掌握化学本质.化学课堂教学过程中,使用多媒体能充分发挥学生学习的主动性,有助于培养学生的想象能力,诱发学生的问题意识,训练学生的多向思维,培养学生的系统观念,对提高学生的学习效率、学习成绩大有帮助.     

Mobile content contribution and retrieval: An exploratory study using the uses and gratifications paradigm

Using the uses and gratifications (UnG) theory, this paper explores the gratification factors for which people contribute and retrieve mobile content. Through the deployment of MobiTOP, a mobile content sharing application, it was found that perceived gratification factors for mobile content contribution were different from those for mobile content retrieval. In particular, factors which had significant positive effects on content contribution stemmed from leisure/entertainment and easy access. Factors fuelling content retrieval included the efficient provision of information resources/services and the need for high quality information, both of which tend to be information-centric. Interestingly, gratification factors for mobile content contribution were also found to have significant effects on mobile content retrieval intention and vice versa. Specifically, the access gratification factor had a significant positive effect on content retrieval intention while the self-gratification factor for content contribution had a significant negative effect on content retrieval intention.     

Service strategies of small cloud service providers: A case study of a small cloud service provider and its clients in Taiwan

Small enterprises play an important role in the technology innovation and economic development of most countries all over the world, particularly in Taiwan. Due to a lack of financial resources and expertise, small enterprises tend to find novel ways to utilize IT resources in order to reduce IT adoption costs, to achieve better flexibility, business agility and scalability, and to react faster to market demands. Whereas Taiwan has been promoting cloud computing to help Taiwanese enterprises adopt more effective information technologies, we found that the service strategies of small cloud service providers are individually differentiated in order to survive in the competitive cloud computing market. This paper reports a case study of a small e-learning service provider and its four clients in Taiwan. Some novel insights are revealed through this case study and recommendations are provided accordingly.     

Social commerce research: Definition,research themes and the trends

Social commerce, an emerging phenomenon rooted in social media and Web 2.0 technologies, has attracted the attention of many researchers. The number of publications on social commerce has grown exponentially in the past 10 years. Now, social commerce has become a significant emerging research area. In this paper, we first define the boundary of social commerce research and then attempt to review the extant literature in this area comprehensively and systematically. Based on the definition, this study surveyed 1369 peer-reviewed academic publications in the social media, Web 2.0, and other related areas. Following the survey, 418 of the publications were identified as social commerce research. Then, latent semantic analysis (LSA), a text mining approach, was applied to summarize the current state of social commerce research. LSA results show that there are three major research themes in the current social commerce research: organization, advertisement, and word-of-mouth. Each theme discusses topics such as innovation, user-generated content, and reputation, among others. In addition, we identify some interesting trends. The first main trend is that innovation, corporate reputation, and user-generated content remain the major research topics, although they are experiencing a slight decline. The second main trend is that online reviews, trust, and e-word-of-mouth are attracting more attention from researchers.     

国内外泛在学习研究主题及其历时演进 ──基于WoS和CSSCI来源期刊的知识图谱对比分析

[目的/意义]泛在学习作为一种新型的学习范式,在世界各国呈快速发展态势,已成为教育技术领域的研究热点。[方法/过程]运用CiteSpace的可视化技术,采用文献计量学知识图谱分析的方法,以检索发表在WoS和CSSCI平台的相关主题学术论文作为数据,从共时比较和历时发展两个维度,梳理国内外近15年(2005-2019年)泛在学习领域研究主题的发展脉络。[结果/结论]国际期刊上泛在学习研究以实证主义研究范式为主,从技术开发、项目实验等角度探究泛在学习教学策略、认知行为和教育应用等议题;而国内期刊论文则侧重理论思辨的方法,解构泛在学习的理论内涵,以及泛在学习与数字化学习、移动学习、终身学习和后现代远程教育对学习模式和认知行为的重构与影响。今后,关于个性化、社会性泛在学习的议题会继续向纵深发展,从认知和情感角度探究泛在学习环境中学习者的学习效能、学习评价和学情反馈等内容将是泛在学习领域未来研究关注焦点和发展趋势。     

组织与跨组织、开拓与开发:四类学习间关系的分析

通过文献研究的方法,整理关于组织学习、跨组织学习、开拓性学习与开发性学习研究的文献,结果发现:组织学习、跨组织学习是基于企业边界而划分的两种学习途径,而开拓性学习与开发性学习是基于学习方式与绩效而划分的两种类型。四类学习之间的关系如下:对于一个企业而言,组织学习与跨组织学习具有互补作用,开拓性学习与开发性学习具有替代作用。开拓性与开发性学习体现在组织学习与跨组织学习之中。     

Chips,tags and scanners: Ethical challenges for radio frequency identification

Radio Frequency Identification (RFID) systems identify and track objects, animals and, in principle, people. The ability to gather information obtained by tracking consumer goods, government documents, monetary transactions and human beings raises a number of interesting and important privacy issues. Moreover, RFID systems pose an ensemble of other ethical challenges related to appropriate uses and users of such systems. This paper reviews a number of RFID applications with the intention of identifying the technology’s benefits and possible misuses. We offer an overview and discussion of the most important ethical issues concerning RFID, and describes and examine some methods of protecting privacy. Norman G. Einspruch serves as a consultant to several high-technology companies, one of which is in the RFID components and systems business.     

From closed to open: Job role changes,individual predispositions,and the adoption of commercial open source software development

When trying to attain the benefits of open source software (OSS), proprietary closed source software (PCSS) firms are struggling to adopt this radically different practice of software development. We approach these adoption challenges as a problem of gaining support for organizational innovation. Through a mixed-method research design consisting of qualitative interviews and a survey of employees of a large telecommunications firm, we find that the organizational innovation to commercially engage in OSS has different impacts on technical and administrative dimensions of different job roles. Accordingly, individuals enacting different job roles are—on average—more or less well aligned with the OSS practice and OSS processes per se. We find that individual-level attributes can counterbalance the job role changes that weaken support for adopting OSS, while perceived organizational commitment has no effect. Suggestions for PCSS firms are presented and implications for innovation literature are discussed.     

Music search engines: Specifications and challenges

Nowadays we have a proliferation of music data available over the Web. One of the imperative challenges is how to search these vast, global-scale musical resources to find preferred music. Recent research has envisaged the notion of music search engines (MSEs) that allow for searching preferred music over the Web. In this paper, we examine the growing research topic of MSEs, and provide potential specifications to follow and challenges to face.     

Intelligent agent systems for executive information scanning,filtering and interpretation: Perceptions and challenges

Using intelligent agent-based systems to support information processing for executives has not been significantly advanced in both theory and practice. Research into this field tends to focus more on technical aspects than on social perspective. When executives are faced with increasing information availability and uncertainty in the business environment, using intelligent agent-based systems to enhance executives’ information processing capability appears both an opportunity and a necessity. This study examines UK executives’ perceptions of intelligent agent-based systems for information scanning, filtering, interpretation and alerting. The study follows a deductive research design, i.e. hypothesis formulation and testing from the user’s perspective. Qualitative data was collected through focus groups and interviews with executives in the UK. The study produces rich evidence that challenges preconceptions of using agent-based information processing system by executives. The findings develop insight into executives’ behavior in information processing, which has implications for intelligent system developers and organizational information processing practice.     

我国企业组织学习的内部机制、类型和特点

全国大规模调查得到的982份有效问卷的统计分析结果表明,我国企业组织学习是以个体、团体、组织层和组织间学习为主线,开发式和利用式学习为内容的过程。学习类型是个体或集体层的利用式学习。企业偏重团体学习而忽视开发式学习,民营企业学习水平高于国有和三资企业,在企业发展阶段和企业规模上也有不同特点。