A model for short-term group therapy on a children's inpatient unit

The paper describes the group therapy model which has evolved over the past two years on the Child Psychiatry Inpatient Unit of North Carolina Memorial Hospital. It begins with a brief review of the literature concerning group therapy with latency-aged children. The setting and patient population are described. Vignettes from group sessions are used to illustrate techniques which have evolved to deal with this particular setting and population. These include a leadership style characterized by much clarification, modeling, and limit setting; extensive focus on beginning and terminating; clearly defined behavioral limits; the use of time out; and use of play materials requiring little skill or attention as anxiety binders as well as projective media; and observation and supervisory discussions open to all members of the treatment team. The paper concludes with a discussion of the potentials and limitations of group therapy in such a setting. The thesis is that this model is effective in diagnosing developmental levels, in developing interpersonal skills, in substituting verbalization for action, and in mastering separation anxieties, though the setting limits the extent to which controlled regression, transference, and group pressures can develop and be used to produce change.     

The changing structure of food retailing in europe: the implications for strategy

European food retailers have increased their scale and scope while concentrating sales into large stores. Strategic implications include the need for scale to compete and organisational relationships to move from supply push to demand pull retailing. Consequences are different for private label and for branded manufacturers, who must respond to the demands of retail supply chains whilst retaining control of product development. Further concentration in both sectors is likely. Consumers are more mobile, but more captive to the retailer in store. Public policy makers are challenged to find new measures of retail power and both allow for innovation and ensure equitable shopping opportunities.     

Faster algorithm to find anti-risk path between two nodes of an undirected graph

For a weighted 2-edge connected graph G=(V,E), we are to find a “minimum risk path” from source s to destination t. This is a shortest s?t path under the assumption that at most one edge on the path may be blocked. The fact that the edge is blocked is known only when we reach a site adjacent to the blocked edge. If n and m are the number of nodes and edges of G, then we show that this problem can be solved in O(n ²) time using only simple data structures. This is an improvement over the previous O(mn+n ²logn) time algorithm. Moreover, with use of more complicated data structures like Fibonacci Heaps and transmuters the time can be further reduced to O(m+nlogn).     

The service system challenges of work with juvenile justice involved young people in the Hunter Region,Australia

Current policies suggest that collaborative approaches are core to working effectively with juvenile justice involved young people. However, there is little research examining the workings of multi‐agency and collaborative endeavours in this field, or the experiences of the human service workers facilitating these connections. This paper reports on qualitative research that resulted from the Juvenile Justice and Education Equity in the Hunter Region project. Thirty‐eight human service workers were interviewed about their perceptions of the workings, strengths and challenges of the service system that supports young people who come into contact with the Children's Court in the Lower and Upper Hunter regions of New South Wales. Data analysis revealed three key themes related to (1) service gaps, cycles and maelstrom; (2) pursuing authentic service engagement; and (3) insider–outsider dynamics in service provision. Findings are discussed in relation to emerging practice and research agendas.     

Utilizing Bayesian predictive power in clinical trial design

The Bayesian paradigm provides an ideal platform to update uncertainties and carry them over into the future in the presence of data. Bayesian predictive power (BPP) reflects our belief in the eventual success of a clinical trial to meet its goals. In this paper we derive mathematical expressions for the most common types of outcomes, to make the BPP accessible to practitioners, facilitate fast computations in adaptive trial design simulations that use interim futility monitoring, and propose an organized BPP-based phase II-to-phase III design framework.     

Volunteering in Retirement and Its Impact on Seniors Subjective Quality of Life Through Personal Outlook: A Study of Older Australians

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This study examines the subjective quality of life of globally expanding senior citizens post-retirement, from a...     

An update on ‘a comparative study of tests for homogeneity of variance’

Tests for equality of variances using independent samples are widely used in data analysis. Conover et al. [A comparative study of tests for homogeneity of variance, with applications to the outer continental shelf bidding data. Technometrics. 1981;23:351–361], won the Youden Prize by comparing 56 variations of popular tests for variance on the basis of robustness and power in 60 different scenarios. None of the tests they compared were robust and powerful for the skewed distributions they considered. This study looks at 12 variations they did not consider, and shows that 10 are robust for the skewed distributions they considered plus the lognormal distribution, which they did not study. Three of these 12 have clearly superior power for skewed distributions, and are competitive in terms of robustness and power for all of the distributions considered. They are recommended for general use based on robustness, power, and ease of application.