Adolescent group therapy membership selection

Conclusions Social agency practitiooners can employ adolescent group therapy as an effective treatment mode, as long as a great deal of attention and planning is put into the details of group membership selection. The authors have presented suggestions and guidelines that can be used in overcoming the logistic problems inherent in forming an adolescent therapy group. We feel that proper pregroup planning is just as important in determining group results as is the ongoing group process. Group treatment does not necessarily incease a therapist's productivity or reduce the amount of time spent in therapy, but it does offer a unique experience which has certain qualitative advantages for teenagers experiencing behavioral and relationship problems within and, particularly, outside of the family system.     

An ant colony optimization approach for the proportionate multiprocessor open shop

Multiprocessor open shop makes a generalization to classical open shop by allowing parallel machines for the same task. Scheduling of this shop environment to minimize the makespan is a strongly NP-Hard problem. Despite its wide application areas in industry, the research in the field is still limited. In this paper, the proportionate case is considered where a task requires a fixed processing time independent of the job identity. A novel highly efficient solution representation is developed for the problem. An ant colony optimization model based on this representation is proposed with makespan minimization objective. It carries out a random exploration of the solution space and allows to search for good solution characteristics in a less time-consuming way. The algorithm performs full exploitation of search knowledge, and it successfully incorporates problem knowledge. To increase solution quality, a local exploration approach analogous to a local search, is further employed on the solution constructed. The proposed algorithm is tested over 100 benchmark instances from the literature. It outperforms the current state-of-the-art algorithm both in terms of solution quality and computational time.

     

Evaluation of the green supply chain management practices: a fuzzy ANP approach

Environmentally responsible manufacturing, green supply chain management (GSCM), and related principles have become important strategies for companies to achieve profit and gain market share by lowering their environmental impacts and increasing their efficiency. As environment has become a key strategic consideration in supply chains, this study examines the components and elements of GSCM and suggests a novel GSCM evaluation framework. It also provides a real-case study of Ford Otosan, one of the pioneering companies about environmental subjects in Turkey, to illustrate the industrial application of our theoretical assessment model. The identified components are integrated into a strategic assessment and evaluation tool using analytical network process (ANP). The dynamic characteristics and complexity of the GSCM analysis environment make the ANP technique a suitable tool for this study. Moreover, to cope with ambiguity and vagueness of the decision maker's evaluations, the fuzzy extension of the ANP method is preferred.     

Perception of Multisensory Gender Coherence in 6‐ and 9‐Month‐Old Infants

One of the most salient social categories conveyed by human faces and voices is gender. We investigated the developmental emergence of the ability to perceive the coherence of auditory and visual attributes of gender in 6‐ and 9‐month‐old infants. Infants viewed two side‐by‐side video clips of a man and a woman singing a nursery rhyme and heard a synchronous male or female sound track. Results showed that 6‐month‐old infants did not match the audible and visible attributes of gender, and 9‐month‐old infants matched only female faces and voices. These findings indicate that the ability to perceive the multisensory coherence of gender emerges relatively late in infancy and that it reflects the greater experience that most infants have with female faces and voices.     

Exploring Cultural Issues for Constellation Work in South Africa

Constellation work is a therapeutic and counselling intervention recognised in Germany and other European countries since the 1970s. Various scientists and practitioners have contributed to its theoretical and practical development, and research on the subject has increased over the past few years. However culture in constellation work has received little research attention and has not been empirically studied in African contexts. The aim of this article is to reflect on culture and its influence on constellation work in multicultural, post‐apartheid South Africa. An empirical qualitative research approach within the phenomenological paradigm was adopted. Six constellation facilitators were interviewed with in‐depth and field notes taken during participative observations of constellation workshops. The findings provide insight into culture in constellation work in the South African context. Theoretical and practical recommendations for scientists and therapy practitioners working with systemic interventions like constellation work are provided.     

The analytic construction of D-optimal designs for the two-variable binary logistic regression model without interaction

Candidate locally D-optimal designs for the binary two-variable logistic model with no interaction, which comprise 3 and 4 support points lying in the first quadrant of the two-dimensional Euclidean space, were introduced by Haines et al. (D-optimal designs for logistic regression in two variables. In: Lopez-Fidalgo J, Rodrigez-Diaz JM, Torsney B, editors. MODA8 – advances in model-oriented designs and analysis. Heidelberg: Physica-Verlag; 2007. p. 91–98). The authors proved algebraically the global D-optimality of the 3-point design for the special case in which the intercept parameter is equal to?1.5434. However for other selected values of the intercept parameter, the global D-optimality of the proposed 3- and 4-point designs was only demonstrated numerically. In this paper, we provide analytical proofs of the D-optimality of these 3- and 4-point designs for all negative and zero intercept parameters of the binary two-variable logistic model with no interaction. The results are extended to the construction of D-optimal designs on a rectangular design space and illustrated by means of two examples of which one is a real example taken from the literature.     

Measuring the drivers of gender inequality and their impact on development: the role of discriminatory social institutions

This paper highlights the key role of discriminatory social institutions – formal and informal laws, social norms, and practices – as the underlying drivers of gender inequality. Using the Social Institutions and Gender Index (SIGI) from the OECD Development Centre, this paper assesses the cost of gender-based discrimination in social institutions for economic and human development. Quantifying such complex issues is a powerful lever for advocacy, where rights-based arguments have tended to gain less traction. The paper provides evidence that measuring the invisible is feasible and critical to position social norms on the policy radar. It demonstrates that any truly transformative post-2015 development agenda must take into account how such inequalities impact the development pathways of women and girls across their entire life course, limiting their rights and empowerment opportunities.     

Adaptive Warped Kernel Estimators

In this work, we develop a method of adaptive non‐parametric estimation, based on ‘warped’ kernels. The aim is to estimate a real‐valued function s from a sample of random couples (X,Y). We deal with transformed data (Φ(X),Y), with Φ a one‐to‐one function, to build a collection of kernel estimators. The data‐driven bandwidth selection is performed with a method inspired by Goldenshluger and Lepski (Ann. Statist., 39, 2011, 1608). The method permits to handle various problems such as additive and multiplicative regression, conditional density estimation, hazard rate estimation based on randomly right‐censored data, and cumulative distribution function estimation from current‐status data. The interest is threefold. First, the squared‐bias/variance trade‐off is automatically realized. Next, non‐asymptotic risk bounds are derived. Lastly, the estimator is easily computed, thanks to its simple expression: a short simulation study is presented.     

Death and schooling decisions over the short and long run in rural Madagascar

This paper provides strong evidence that adult mortality has a negative impact on children educational outcomes, both over the short and the long run, in rural Madagascar. The underlying longitudinal data and the difference-in-differences strategy used overcome most of the previous cross-sectional study limitations, such as failure to control for child and household pre-death characteristics and unobserved heterogeneity. This paper also pays special attention to the heterogeneity, robustness, and long-run persistence of effects. Results show that orphans are on average 10 pp less likely to attend school than their nonorphaned counterparts, this effect being even more pronounced for girls and young children from poorer households. Results on adults further show that those orphaned during childhood eventually completed less education. These findings suggest that not only do households suffering unexpected shocks resort to schooling adjustments as an immediate risk-coping strategy, but also that adversity has long-lasting effects on human capital accumulation.