Examination of computer task exposures in radiologists: a work systems approach

Radiologists are intensive computer users as they review and interpret radiological examinations using the Picture Archiving and Communication Systems (PACS). Since their computer tasks require the prolonged use of pointing devices, a high prevalence of Musculoskeletal Disorders (MSDs) is reported. The first phase of this study involved conducting a Cognitive Work Analysis in conjunction with a Participatory Ergonomics approach to perform a total work system analysis. We also conducted an ergonomic survey as well as collected computer use data, specifically for the mouse and keyboard. The goal of the study was to reduce the physical exposures for radiologists. This paper presents Phase I results describing the analyses and redesign process of the radiologists tasks, training design, computer use, and selected survey results.     

Information for Clinical Social Work Practice: A Potential Solution

The field of social work requires knowledgeable, skilled and self-confident professionals. We assume that many of these social workers will have less than optimal access to professionally relevant information, within and outside of their workplaces. We also assume that they, like others searching for information, will have a limited set of search skills yet will want to obtain the information for practice they need as easily as possible. Finally, we assume they will continue turning to the Internet to access relevant information. This paper describes Information for Practice (IP), an Internet service designed for social work practitioners based on these assumptions. Data regarding use of this service are presented.     

Properties and Applications of the Generalized Likelihood as a Summary Function for Prediction Problems

The generalized likelihood plays an important role in parametric inference for prediction and empirical Bayesian models. This paper emphasizes the utility of the generalized likelihood as a summarization procedure in general prediction models. Properties of the generalized likelihood when used in this setting, and examples of its use as a data analytic tool are given in a series of numerical examples.     

Multivariate extreme-value distributions with applications to environmental data

Some parametric families of multivariate extreme-value distributions have been proposed in recent years; several additional parametric families are derived here. The parametric models are fitted, using numerical maximum likelihood, to some environmental multivariate extreme data sets consisting of extreme concentrations of a pollutant at several monitoring stations in a region. Some multivariate nonnormal data analysis techniques are proposed to aid in the likelihood analysis. The new models, together with previous models, appear to be adequate for inferences in that they cover a wide range of possible dependence patterns.     

Social security reforms in China: issues and prospects

The phenomenal success of China's market-oriented economic reforms since the 1980s has rendered the traditional employment-based social security system increasingly inadequate and inefficient. For decades, the Chinese government has been trying to develop a more pluralistic, effective and affordable social security system which will be compatible with both a thriving market economy and a flagging socialist political structure. While the emerging system is still struggling with a variety of operational problems, the entry of China into the WTO is looming as a formidable challenge to this social security system. This presentation outlines the recent reforms of the social security system undertaken by the Chinese government, and assesses the effectiveness of the results in meeting the challenge. Here, social security reforms focus on the retirement and unemployment insurance schemes and the social assistance program.     

Numerical optimization and surface estimation with imprecise function evaluations

This paper presents an investigation of a method for minimizing functions of several parameters where the function need not be computed precisely. Motivated by problems requiring the optimization of negative log-likelihoods, we also want to estimate the (inverse) Hessian at the point of minimum. The imprecision of the function values impedes the application of conventional optimization methods, and the goal of Hessian estimation adds a lot to the difficulty of developing an algorithm. The present class of methods is based on statistical approximation of the functional surface by a quadratic model, so is similar in motivation to many conventional techniques. The present work attempts to classify both problems and algorithmic tools in an effort to prescribe suitable techniques in a variety of situations. The codes are available from the authors' web site http://macnash.admin.uottawa.ca/~rsmin/.     

POLITICAL MODELS OF THE BUSINESS CYCLE SHOULD BE REVIVED

Political models of the business cycle have typically been ignored because they appear inconsistent with rational behavior and because empirical evidence is inconclusive. This paper addresses the second issue, demonstrating for U.S. real GNP, unemployment, and inflation that electoral cycles (persistent patterns across electoral terms) are significant, but apparently only for Republican incumbents, and that partisan cycles (persistent differences between parties) are also significant. These findings are consistent with the conjecture that a minority party is more constrained by electoral concerns, whereas a majority party is freer to pursue partisan objectives.     

Aging and identity in dementia narratives

Abstract

This article explores the way that senile dementia is represented in contemporary culture, with particular reference to texts which narrate the experience of caring for a parent or spouse with one form of the illness. These narratives raise problematic issues about the materiality of the body and its relation to individual identity, and the unstable relationship between memory and identity in postmodern culture, by drawing on the actual experience of bodily dependency and disorientating memory loss in dementia patients. These speculations about the body, memory and the self are ultimately related in narratives of dementia to the inevitable process of aging and dying and the cultural meanings attached to it. The article places the representation of dementing illnesses within a Foucauldian narrative of surveillance and control in the discourse of aging and death in modern Western societies, redemptive views of illness in western culture and arguments about death in contemporary theory.