青少年学业压力、父母支持与精神健康

追求学业上的成就,并由此实现社会流动、赢得尊敬和家庭的荣耀是中国文化的传统。但对教育成就的重视也导致儿童承受很大的压力,引发心理和身体的疾病。对上海685名学生学业压力与精神健康的调查证实,学业压力是加剧学生焦虑的风险因素,而父母的情感支持是促进儿童精神健康的保护性因素。因此促进父母对儿童的学习参与是重要的,但要注意时机,动态了解儿童的学习压力状况并提供及时的情感支持,这样有助于儿童的精神健康。     

“90后”大学生信息获取渠道与价值观的形成研究

"90后"大学生、出生成长在信息时代,信息获取渠道的多元化对他们的价值观形成造成较大的影响。其中,值得关注的影响有:信息焦虑与价值认同的矛盾、道德价值观体现传承特性、政治热情与冷漠并存、人生价值的媒介之"伤"等。因此,要净化媒介环境,提高"90后"大学生媒介素养,实现价值观教育的功能一致性,以强化主导价值观的引导作用。     

中原经济区工业与信息化自主创新对策初探

河南省工业与信息化领域如何从本省实际出发,吸取国内外成功经验,增强区域自主创新能力,是河南省科技工作和经济工作的第一要务,是全面推进中原经济区建设、加快中原崛起河南振兴的关键。通过对"十一五"时期河南省工业与信息化领域自主创新能力现状进行分析,结合国家自主创新战略,提出了"十二五"河南省工业与信息化领域提升自主创新能力应遵循的原则,并结合行业特点提出了相应行业自主创新工作对策,以期能对中原经济区建设发挥更大作用。     

民主、信息公开与国家治理模式的变迁

在很长一段历史时间内,信息公开与民主制度并无关联,因为"精英民主"模式通常与保密文化密切相关,它既不鼓励公民参与,也不希望公民知悉政府的信息。直到参与式民主在近几十年取得主流话语权,信息公开才与公共参与一道成为民主制度不可或缺的组成部分。中国《政府信息公开条例》的实施,不仅有利于国家治理模式的转变,而且未来必将有助于民主的发展。     

VALIDATION OF EXPERT SYSTEMS- WITH APPLICATIONS TO AUDITING AND ACCOUNTING EXPERT SYSTEMS*

This paper proposes a set of definitions for the concepts “validation” and “assessment” applied to expert systems (ESs). It develops a framework for this validation and demonstrates the framework on existing accounting and auditing ESs to elicit some of the research issues involved in ES validation. Validation is critical to the design and implementation of decision-making ESs. In a setting where objectivity is sought and variance is avoided, validation ascertains what a system knows, knows incorrectly, or does not know. Validation ascertains the system's level of expertise and investigates the theoretical basis on which the system is based. It evaluates the reliability of decisions made by the system. The validation framework developed in this paper is research methods. It is designed to reflect the unique aspects of ESs (in contrast to other types of computer programs) and can be used by ES developers as a basis from which to perform validation and by researchers as a framework to elicit research issues in validation.     

Applications and Implementation DECISION SUPPORT SYSTEMS: AN EMPIRICAL ASSESSMENT FOR DECISION MAKING

A laboratory experiment examined the effects of applying decision support system (DSS) technology to decision making in ill-structured problem environments under varying information conditions. Marketing executives participated in the experiment which investigated the effects of DSS availability, DSS training, and data availability on dependent variables that included: (1) the number of alternatives considered by a subject during decision making, (2) the period of time spent by a subject to complete the decision-making process, (3) the subject's perceived confidence in the decisions he or she had made, (4) the amount of data considered by a subject's during decision making, (5) the individual subject's decision processing, and (6) the subject's performance overall. Our results indicate that all three factors significantly affect the number of alternatives considered by subjects during the decision-making process. We therefore suggest that DSS training be coordinated with decision training in order to realize the potential of DSSs as described in the DSS literature.     

CATEGORY WIDTH COGNITIVE STYLE AS A FACTOR IN ACCOUNTANTS' PERCEPTIONS OF ACCOUNTING INFORMATION

This paper reports the findings of a laboratory experiment designed to investigate the relationship of category width (CW) cognitive style with accountants' perceptions of accounting information. Subjects drawn from large accounting firms in Sydney, Brisbane, and Melbourne, Australia, were classified into broad, medium, and narrow categories following the test devised by Pettigrew [19]. Subjects were requested to state their level of confidence in decisions they had made after receiving (1) conventional accounting information or (2) conventional accounting information and human resources accounting (HRA) information using a one-group pretest-posttest design. The results indicated a significant relationship between CW cognitive style and the accountants' confidence in their decisions. Furthermore, CW cognitive style moderated the accounting-information/decision-making relationship.     

The Pacific Rim Library: A Surprising Pearl

The Pacific Rim Library (PRL) is an initiative of the Pacific Rim Digital Library Association (PRDLA). The project began in 2006 using the OAI-PMH paradigm and now holds over 300,000 records harvested from OAI data provider libraries around the Pacific. PRL's goal is to enable the sharing of digital collections amongst PRDLA members and the world, but greater unexpected benefits have been discovered. Through mirroring their metadata, PRL increases the chance that their data will be discovered in Google and other general search engines. With its many disparate collections, PRL is not a repository for traditional information discovery and retrieval. Initially users will bounce from a Google hit to the PRL metadata record in Hong Kong and then begin an intensive search on the original site which hosts the full digital object, in Vancouver, Honolulu, Wuhan, Singapore, or other PRDLA member location.     

Visualizing the factory through meta- manufacturing processes

Milestone or deadline driven production management is predominant in most manufacturing companies. Problems and other disturbing occurrences tend to see their first daylight during phases where plans are implemented into reality, for example, when production commences, prototypes enter manufacturing and deliveries are expected. Conventional control routines fail to depict the true progress and procedures of the company on an on-line basis, which means that instead of being proactive they serve as means to react to already existing problems. This paper studies the application of advanced visualization techniques to the already existing information embedded in a comany's information infrastructure, and how it can help management to anticipate probable near future pitfalls. By studying those daily operations of a company which share a document relationship with the true manufacturing process, that is, the meta-manufacturing processes, a completely new perspective on the company's value-adding activities is drawn. By mining the existing data reservoirs of a company traditionally difficult management processes, such as product development, vendor integration, production planning, can be analysed and the problems identified in a novel way to react in advance. The paper displays several empirical examples from bulk to one-of-a-kind production where the method has been successfully implemented.     

Lag Length Selection for Unit Root Tests in the Presence of Nonstationary Volatility

A number of recent papers have focused on the problem of testing for a unit root in the case where the driving shocks may be unconditionally heteroskedastic. These papers have, however, taken the lag length in the unit root test regression to be a deterministic function of the sample size, rather than data-determined, the latter being standard empirical practice. We investigate the finite sample impact of unconditional heteroskedasticity on conventional data-dependent lag selection methods in augmented Dickey–Fuller type regressions and propose new lag selection criteria which allow for unconditional heteroskedasticity. Standard lag selection methods are shown to have a tendency to over-fit the lag order under heteroskedasticity, resulting in significant power losses in the (wild bootstrap implementation of the) augmented Dickey–Fuller tests under the alternative. The proposed new lag selection criteria are shown to avoid this problem yet deliver unit root tests with almost identical finite sample properties as the corresponding tests based on conventional lag selection when the shocks are homoskedastic.