Alzheimer's disease and related dementias

The number of individuals with Alzheimer's disease or a related dementia is growing at a staggering rate. Thus, it is essential that social workers in geriatric settings are knowledgeable about this disorder and the appropriate interventions to use at all stages of the disease. The purpose of this article is to examine the types of non-pharmacological, psychosocial treatments that are used to manage the behavioral manifestations and changes in the mood of individuals with Alzheimer's disease or a related dementia. While great strides have been made in pharmacological treatments of Alzheimer's disease, less attention has been given to the types of psychosocial interventions that are readily employed in community-based and long-term care settings to assist in the care of these individuals. This article provides an overview of psychosocial interventions, as well as identifies the direction for future evidence-based treatment studies, for individuals with Alzheimer's disease and related dementia.     

Preference Change and Increasing Wage Inequality

Abstract. This paper argues that preference change could explain, in part, the growth of within‐group wage inequality in the USA and the UK in the 1980s. The absence of such preference change in continental European countries might also help explain why their wage inequality did not rise in the same way. The argument relies on evidence from the World Values Surveys and uses an efficiency wage model of within‐group wage inequality where there are differences in the degree of discretion at work across firms and workers value not just the wage but also the degree of discretion on the job.     

Machine learning and design of experiments with an application to product innovation in the chemical industry

Industrial statistics plays a major role in the areas of both quality management and innovation. However, existing methodologies must be integrated with the latest tools from the field of Artificial Intelligence. To this end, a background on the joint application of Design of Experiments (DOE) and Machine Learning (ML) methodologies in industrial settings is presented here, along with a case study from the chemical industry. A DOE study is used to collect data, and two ML models are applied to predict responses which performance show an advantage over the traditional modeling approach. Emphasis is placed on causal investigation and quantification of prediction uncertainty, as these are crucial for an assessment of the goodness and robustness of the models developed. Within the scope of the case study, the models learned can be implemented in a semi-automatic system that can assist practitioners who are inexperienced in data analysis in the process of new product development.     

Education and the allocation of time of married women in Iran

Review of Economics of the Household - In the past two decades Iranian women have become much better educated and reduced their fertility, by more than two-thirds. However, their participation in...     

Longitudinal patterns of anger reactivity and risk‐taking: The role of peer‐context

The current study examined the interplay between children's dispositional anger and susceptibility to peers' influence in increasing children's risk‐taking behaviors. Participants in the current study were children from a larger study of temperament and social–emotional development who were followed across 9, 24, 36, 48, and 60 months. Dispositional anger was measured using mothers' reports across 9 and 48 months. At 60 months, children played a risk‐taking computer game in presence of an unfamiliar peer who watched the child play. The child's risk‐taking was assessed during the game as the unfamiliar peers' reactions were coded based on comments that were peer directed, reflective of praising the target child's performance, or object directed, indicative of excitement toward the game. A latent profile analysis revealed three longitudinal anger profiles across infancy to early childhood: high stable, average stable, and low stable anger. Results suggested that as peers' object‐directed comments predicted risk‐taking independent of children's anger, the association between peer‐directed comments and risk‐taking was dependent on children's dispositional anger. Specifically, when peers praised the target child's performance, children in the high stable anger profile showed increased risk‐taking propensity. Findings are discussed based on the importance of considering both temperamental characteristics and aspects of the peer context in relation to children's risk‐taking.     

Correction to: Do women directors contribute to R&D? The role of critical mass and expert power

Journal of Management and Governance - An amendment to this paper has been published and can be accessed via the original article.     

AN EXISTENTIAL PERSPECTIVE ON DIFFERENTIATION/FUSION: THEORETICAL ISSUES AND CLINICAL APPLICATIONS

This paper calls for a recognition of existential issues in family therapy. It begins by noting the importance of "big questions" to families, reviews the roots of existential philosophy and existential therapy, offers an example of the usefulness of connecting existential thought to the family field by discussing differentiation/ fusion from an existential perspective, and offers guidelines for clinical application.