村民是如何化解环境健康风险的?

污染—疾病科学关系不清及制度安排问题等因素致信息不全,加之村民相关科学知识的缺乏,是村民环境健康风险认知的根本性障碍,但村民并没有如简单预设的那样处于"束手待毙"的状态。在乡村社区,村民利用"熟人社会"的社会结构和文化机制把有限的信息无限利用,有效地应对了信息不全的困境。面对外源性污染,并且无法改变污染现状的格局下,村民根据生活经验和常识策略性地化解健康风险。村落社会中的亲缘、地缘关系结构以及精英—大众结构也影响了村民对环境健康风险的规避。村民化解环境健康风险虽然缺乏成熟的科学指导,却有其独特的实践逻辑。     

Morality rebooted: Exploring simple fixes to our moral bugs

Ethics research developed partly in response to calls from organizations to understand and solve unethical behavior. We examine two approaches to mitigating unethical behavior: (1) values-oriented approaches that broadly appeal to individuals’ preferences to be more moral, and (2) structure-oriented approaches that redesign specific incentives, tasks, and decisions to reduce temptations to cheat in the environment. This paper explores how these approaches can change behavior. We argue that integrating both approaches while avoiding incompatible strategies can reduce the risk of adverse effects that arise from taking a single approach and leverage the strengths of both approaches.     

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.     

Information

Information technology is increasingly being used in the human services, but reports suggest that some professionals are resisting its introduction. Some accounts for this resistance emphasise the role of the technology's physical attributes. It may, however, be due more to mistaken assumptions by some professionals about the role of the technology in generating information in human service contexts. Information as a concept has different interpretations according to its usage. It is the author's contention that there has been a failure to differentiate between the use of the concept in different settings and this is a possible causal factor in producing resistance. This paper examines information as used in communication theory and the human services and emphasises the need for a thorough examination of the role of information in professional social work education and practice.     

Development of an integrated information management model: A case of textile industry

For past two decades many organisations have tried to implement integrated information management systems for better production management based on co-ordination of information and therefore activities of different departments. Although Enterprise Resource Planning systems have been in the market for the past decade, many industries find it difficult to implement such systems due to the amount of work involved in streamlining the documentation, customisation and of high costs reported in implementation. An attempt is made through this paper to propose an integrated model, which can be easily understood by production personnel, with specific emphasis on the textile sector.     

Computer Diffusion and Worker Empowerment

Abstract

Much anecdotal material describes various human impacts of computer adoption within the social work profession, however, there is scant research which confirms or challenges these assumptions. This article describes a study which investigates the diffusion of computers into the social work profession in terms of empowerment as an individual outcome for workers. A questionnaire returned by 520 social workers provided data on organizational computer diffusion, organizational centralization, and the Social Worker Empowerment Scale. Workers in organizations where computer diffusion was more advanced, and those in more decentralized decisionmaking environments were found to be more empowered.     

Implementation of a Federated Search System: Resource Accessibility Issues

Abstract

During 2009, the Hilton M. Briggs Library, South Dakota State University, went live with MetaLib, a federated search engine from Ex Libris. This paper presents the implementation process, addresses resource accessibility issues, and suggests a number of resources that can be consulted about these issues. Readers can apply similar strategies to projects involving federated search systems, as many implementation projects involve the same basic considerations presented here. The author did not find any studies specifically focused on configurations of MetaLib resources, so this content should be singularly useful.     

Generalized Weibull Linear Models

For the first time, a new class of generalized Weibull linear models is introduced to be competitive to the well-known generalized (gamma and inverse Gaussian) linear models which are adequate for the analysis of positive continuous data. The proposed models have a constant coefficient of variation for all observations similar to the gamma models and may be suitable for a wide range of practical applications in various fields such as biology, medicine, engineering, and economics, among others. We derive a joint iterative algorithm for estimating the mean and dispersion parameters. We obtain closed form expressions in matrix notation for the second-order biases of the maximum likelihood estimates of the model parameters and define bias corrected estimates. The corrected estimates are easily obtained as vectors of regression coefficients in suitable weighted linear regressions. The practical use of the new class of models is illustrated in one application to a lung cancer data set.