医院集团信息系统中数据交换的研究与设计

以医院集团信息系统为背景,分析了集团信息系统中数据交换存在的问题,探讨了基于分布式数据库的数据复制技术。在借鉴已有大型分布式数据库管理系统的数据复制方案后,提出了一套异构下基于异步复制增量事务的数据复制模型。     

"数据库原理与应用"课程多媒体教学模式探讨

文章分析了多媒体教学的含义、特性,阐述了多媒体教学应遵循的原则,并探讨了"数据库原理与应用"这门课程多媒体教学的实用模式。     

城乡收入差距的动态演变及决定因素——基于CNKI数据库1988～2013年的文献分析

伴随着我国城乡收入差距的扩大,城乡收入差距问题受到了高度关注。以CNKI数据库收录的国内7种权威期刊1988～2013年间发表的城乡收入差距文献为对象,从学术界关注最多的城乡收入差距的变化趋势和影响因素两个方面入手,按照文献发展的脉络和内在的逻辑关系,梳理国内理论界对该主题研究的理论变迁、研究特点,检验理论的发展是否与现实的城乡收入差距波动一样也具有阶段性特征,以此来分析国内权威期刊对我国重大现实问题的关注,并指出研究不足和进一步研究的方向。     

中文社会科学引文索引(CSSCI)之研制、意义与功能

文献的引证关系 ,比较深刻地反映了科学文献之间的内在联系。《中文社会科学引文索引》的研制成功填补了国内外的一个重要空白 ,它既是中文人文、社会科学文献信息的重要查询工具 ,又是人文、社会科学研究及学术期刊的主要评价工具。CSSCI能够多途径、多角度、全方位地查询成果 ,并利用文献计量学方法对社会科学论文进行各种统计分析     

The Criteria for Open Access

Abstract

Each proposal for Open Access (OA) has its unique combination of features; each argument for or against OA focuses on particular features or criteria. This article is intended to discuss these criteria, both individually and also as each of them contributes to the different proposals for OA. Evaluation of the proposals themselves is not attempted. This discussion is intended to be of value to the supporters of OA, in choosing which plan to adopt, and to those opposed to OA, in showing where the weaknesses do and do not lie. In other words, this article intends to improve the level of factual understanding in the ongoing discussions.     

自动化网络办公系统的设计与开发

结合现代企事业OA理念,立足于电子办公实际情况,设计并实现了自动化网络办公系统.该系统的目的是实现稳定的、高效的、便捷的办公自动化平台,能够准确地完成大量的数据资料的交互和传递,实现信息处理自动化,以代替传统的手工方式.该系统以J2ee作为系统设计的技术支撑,在对系统进行整体分析的基础上完成了对系统功能模块的设计和系统体系结构的设计;叙述了系统中部分功能的详细设计及具体实现过程.     

论数据库的法律保护

数据库是一种以信息为内容的高投入低边际成本的信息产品,单纯地运用我国现有的法律保护制度无法突出其专业性和特殊性.因此,通过对数据库进行专门的立法保护,平衡开发方和使用方之间的权利义务关系以及兼顾社会公益,将有利于推动数据库产业的健康发展及其市场的规范运作.     

Using database linkages to measure innovation,commercialization, and survival of small businesses

Here, we report the results of an outcomes evaluation of the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Programs at the National Institute of General Medical Sciences (NIGMS). Since the programs’ inception, assessments of the SBIR/STTR programs at several federal agencies have utilized surveys of former grantees as the primary source of data. Response rates have typically been low, making non-response bias a potential threat to the validity of some of these studies’ results. Meanwhile, the availability of large publicly-available datasets continues to grow and methods of text mining and linking databases continue to improve. By linking NIGMS grant funding records, U.S. Patent and Trademark Office data, and business intelligence databases, we explored innovation, commercialization and survival for recipients of NIGMS SBIR/STTR funding. In doing so, we were able to more completely assess several key outcomes of the NIGMS SBIR/STTR program. Our evaluation demonstrated that the NIGMS program performed above baseline expectations along all dimensions, and comparably to other federal agency SBIR/STTR grant programs. In addition, we show that the use of extant data increasingly is a viable, less expensive, and more reliable approach to gathering data for evaluation studies.     

An Enhanced Data Perturbation Approach for Small Data Sets

As modern organizations gather, analyze, and share large quantities of data, issues of privacy, and confidentiality are becoming increasingly important. Perturbation methods are used to protect confidentiality when confidential, numerical data are shared or disseminated for analysis. Unfortunately, existing perturbation methods are not suitable for protecting small data sets. With small data sets, existing perturbation methods result in reduced protection against disclosure risk due to sampling error. Sampling error may also produce different results from the analysis of perturbed data compared to the original data, reducing data utility. In this study, we develop an enhancement of an existing perturbation technique, General Additive Data Perturbation, that can be used to effectively mask both large and small data sets. The proposed enhancement minimizes the risk of disclosure while ensuring that the results of commonly performed statistical analyses are identical and equal for both the original and the perturbed data.     

后来者居上--《绍兴文理学院学报(自然科学版)》名列第三

德国Zentralblatt MATH数据库曾收录浙江期刊8种，截止2002年12月上旬，累积收录1922条，近98％来自浙江大学,2002年《绍兴理学院学报(自然科学版)》(ISSN 1008-293X）被Zentralblatt MATH数据库列为收录期刊源，在浙江省入选Zentralblatt MATH数据库，而且目前仍然作为Zentralblatt MATH数据库来源期刊的6种杂志中，2000--20011年收录量均仅次于浙江大学数学系主办的《应用数学学报A辑(中版)》（ISSN 1000-4424）和《高校应用数学学报B辑(英版)》(ISSN 1005-1031)，居于第三名。