Depression Amongst Chinese Adolescents in Hong Kong: An Evaluation of a Stress Moderation Model

Stress has an established association with depression. However, not all adolescents experiencing stressors become depressed and it is helpful to identify potential resilience factors. The current study tests a theoretical extension of a stress-diathesis model of depression in a Chinese context, with stress, coping, family relationships, and alexithymia as risk factors for depression. This community study involves 1,199 secondary school students (567 males and 632 females) aged between 14 and 20 from six high schools with different bandings in Hong Kong. The models tested confirm the relationship between stress and depression. Ability to identify of one’s feelings (alexithymia subscale), the adoption of problem solving coping and the rejection of non-productive coping all acted as protective factors (moderators) against depression in the presence of stress. Coping also partially mediated the relationship between alexithymia and depression. A stress-diathesis model received some support, however, a complex set of inter-relationship between all the explanatory variables was revealed. Problem solving coping and non-productive coping emerged as key factors in understanding adolescent depression.     

Finding Known Journal Articles: Comparing a Citation Linker to an A-to-Z List

OpenURL links provide access to full-text articles from citation databases; however, end users who have found citations outside of library databases must find the full text of their journal articles another way. Many OpenURL link resolvers offer a citation finder service which allows the end user to search for specific known items at the article level. This paper studies the usability of the “citation linker” search from Ex Libris' SFX®. Twenty-one volunteers tested finding known journal articles using both a standard A-to-Z list and SFX' citation linker search. The researchers compare results from the two search interfaces, document the problems found, recommend which interface makes the best default search interface, and suggest improvements to the citation linker interface.     

The Application of Neural Networks and a Qualitative Response Model to the Auditor's Going Concern Uncertainty Decision*

An auditor gives a going concern uncertainty opinion when the client company is at risk of failure or exhibits other signs of distress that threaten its ability to continue as a going concern. The decision to issue a going concern opinion is an unstructured task that requires the use of the auditor's judgment. In cases where judgment is required, the auditor may benefit from the use of statistical analysis or other forms of decision models to support the final decision. This study uses the generalized reduced gradient (GRG2) optimizer for neural network learning, a backpropagation neural network, and a logit model to predict which firms would receive audit reports reflecting a going concern uncertainty modification. The GRG2 optimizer has previously been used as a more efficient optimizer for solving business problems. The neural network model formulated using GRG2 has the highest prediction accuracy of 95 percent. It performs best when tested with a small number of variables on a group of data sets, each containing 70 observations. While the logit procedure fails to converge when using our eight variable model, the GRG2 based neural network analysis provides consistent results using either eight or four variable models. The GRG2 based neural network is proposed as a robust alternative model for auditors to support their assessment of going concern uncertainty affecting the client company.     

Building information modelling in construction: insights from collaboration and change management perspectives

A case study is used to obtain the experiences from a contractor and their subcontractors involved with constructing the landmark Perth Stadium, which required a building information model (BIM) to be delivered for the purpose of asset management. Insights about ‘how’ the adoption of a BIM influenced the practice of collaboration and change management within the project are obtained. It was revealed that having limited experience and knowledge to deliver a model for asset management often resulted the project team ‘muddling through a problem’. This was not necessarily due to a shortage of training, but a lack of BIM knowledge, which inadvertently influenced every day practice. The research presented builds on the extant body of works that have examined how the construction industry can effectively acquire the benefits of BIM for asset management. It also highlights the need to incorporate education and learning into a project’s BIM implementation strategy.     

Resilience to Discrimination and Rejection Among Young Sexual Minority Males and Transgender Females: A Qualitative Study on Coping With Minority Stress

Sexual minority and transgender status is associated with mental health disparities, which have been empirically and theoretically linked to stressors related to social stigma. Despite exposure to these unique stressors, many sexual minority and transgender individuals will not experience mental health disorders in their lifetime. Little is known about the specific processes that sexual minority and transgender youth use to maintain their wellbeing in the presence of discrimination and rejection. Semistructured interviews were conducted with 10 sexual minority males and transgender females aged 18–22 years, who currently met criteria for an operationalized definition of resilience to depression and anxiety. Data were analyzed qualitatively, yielding information related to a wide variety of problem-solving, support-seeking, and accommodative coping strategies employed by youth in the face of social stigma. Results are discussed in light of their clinical implications.