Non-finite loss and challenges to communication between parents and professionals

Elizabeth Bruce PhD, a psychologist in private practice, and Cynthia Schultz PhD, honorary associate at LaTrobe University, both live and work in Australia. Their work on supporting parents who have children with special needs, however, has been published around the world. In this article Bruce and Schultz explore the notion of 'non-finite loss', defined as the ongoing sense of grief experienced by parents caring for children with severe disabilities. The authors discuss the issues that professionals need to consider when working with parents in these circumstances. The article closes with a set of recommendations for promoting more effective partnerships between parents and professionals.     

Cerebral activity prior to motion task performance: an electroencephalographic study

Cerebral activity, as reflected by power in the alpha waveband (8-13 Hz), was examined prior to the performance of three tasks with different effort and accuracy requirements. The study aimed to further investigate changes in activity observed in an earlier study in which expert karate performers exhibited significant increases in alpha band power during preparation for a training task. In contrast to the earlier research, the high effort task produced a significant decrease in 'alpha' power prior to performance. 'Alpha' power prior to the high accuracy task showed significant differences mediated by the outcome. Successful performance was preceded by higher levels of 'alpha' power than unsuccessful attempts. The reported use of a cognitive strategy on the first task produced a significant difference in activity, lower alpha power being associated with the use of such a technique.     

Introducing computer literacy skills for physicians

Computers are integral to medical practice, education, and research. While medical students learn computer skills during their training, many practicing physicians do not have the same computer experience. To familiarize this group with the exciting developments in medical informatics, the Himmelfarb Health Sciences Library and Department of Computer Medicine at the George Washington University Medical Center organized a workshop "Introducing Your Office Computer!" for attending physicians. The workshop featured a short lecture/video presentation on computer applications in medicine followed by a "computer fair" of five computer applications. Eleven physicians attended the workshop. Feedback was very positive; many called later to request more detailed instructions on using the programs demonstrated. It was a valuable experience for the staff, and new bridges were built between departments and clients.     

Analysis of Statistical Question Classification for Fact-Based Questions

Question classification systems play an important role in question answering systems and can be used in a wide range of other domains. The goal of question classification is to accurately assign labels to questions based on expected answer type. Most approaches in the past have relied on matching questions against hand-crafted rules. However, rules require laborious effort to create and often suffer from being too specific. Statistical question classification methods overcome these issues by employing machine learning techniques. We empirically show that a statistical approach is robust and achieves good performance on three diverse data sets with little or no hand tuning. Furthermore, we examine the role different syntactic and semantic features have on performance. We find that semantic features tend to increase performance more than purely syntactic features. Finally, we analyze common causes of misclassification error and provide insight into ways they may be overcome.     

Explaining Media Choice: The Role of Issue-Specific Engagement in Predicting Interest-Based and Partisan Selectivity

This study analyzes the predictors of 2 types of media selectivity: interest-based (i.e., choice of entertainment over politics) and partisan (i.e., choice of pro-attitudinal over counter-attitudinal or balanced news). Relying on a large survey-based experiment, we find that issue-specific engagement variables, including perceived issue understanding, issue importance, and issue attitude strength, predict interest-based and partisan selectivity above and beyond the influence of general political knowledge, news interest, and strength of political leanings. These results show that the drivers of selectivity are more complex than general political attributes; rather, they are contextual and reflect people’s engagement with particular issues.     

A historical analysis of academic development using the theoretical lens of Pierre Bourdieu

This paper provides a history of academic development by examining how a South African institution coped with the potent social forces confronting it before the collapse of apartheid. Theoretically, it draws on the framework of Pierre Bourdieu and engages with a paper written a decade ago by Naidoo, who also used Bourdieu to understand institutional change in South Africa in the late 1980s. Through contrasting the habitus of two professors, it is argued that academic development helps to preserve the autonomy of the university field by refracting forces impinging on it from the economic and political realms.