Disaster vulnerability,displacement, and infectious disease: Nicaragua and Hurricane Mitch

Population and Environment - Research conducted among socially vulnerable populations caught in the paths of natural disasters represents the forefront of our understanding the health-related...     

Who Are the Anonymous? Involvement and Predictors of Gamblers Anonymous Attendance Among Disordered Gamblers Presenting for Treatment

Gamblers Anonymous is the most widely available form of support for disordered gambling. Although chapters exist worldwide, knowledge of how attendees interact with the program is limited. The present study aimed to investigate involvement in Gamblers Anonymous among attendees, motives for attendance, and overall satisfaction with the program. Furthermore, potential gambling-related predictors of attendance versus deciding not to attend Gamblers Anonymous were investigated. A treatment-seeking sample of disordered gamblers (N?=?512) from São Paulo, Brazil completed a series of self-report measures including an author-compiled Gamblers Anonymous survey. From the sample, 141 gamblers reported attending Gamblers Anonymous over the previous 30 days. An examination of involvement, satisfaction, and motives for attending Gamblers Anonymous was conducted, followed by regression analyses to assess predictors of attendance and satisfaction with the program. The majority of attendees (80%) reported some satisfaction with the program. The most common motive for attending Gamblers Anonymous was related to relapse prevention. Regression analyses revealed that greater gambling severity and number of days gambled were associated with not attending Gamblers Anonymous while giving testimonials was strongly related (OR?=?6.18) to satisfaction with the program. The findings of this study contribute to the literature on Gamblers Anonymous. In particular, that members derive great satisfaction from the program and see it as a way to strengthen their abstinence goals. However, despite high satisfaction, the results also suggest that most members were passively involved in the program. More research that assesses the effectiveness of Gamblers Anonymous as either a stand-alone or adjunct treatment is needed.     

Robust precision matrix estimation via weighted median regression with regularization

A precision matrix is an important parameter of interests because its elements describe useful association information among multiple variables, which has a wide variety of applications. For example, it is used for inferring gene regulation networks in genomic studies and stock association networks in financial studies. However, in many cases, the precision matrix needs to be robustly estimated due to the presence of outliers. We propose estimating a sparse scaled precision matrix via weighted median regression with regularization. Our weighted median regression approach is consistent under various distributional assumptions including multivariate t‐ or contaminated Gaussian distributions. This fact is illustrated with simulation studies and a real data analysis with monthly stock return data. The Canadian Journal of Statistics 46: 265–278; 2018 © 2018 Statistical Society of Canada     

Autism across cultures: rethinking autism

Whereas the autism prevalence rate has been very closely monitored in the United States, the same has not been observed in many other countries. This may be attributed to the fact that each culture views and defines autism differently. Using field notes and semi-structured interviews with family members with an individual with autism, teachers, and professionals in Canada, Nicaragua, and Korea, this paper illustrates how autism is socially differently constructed in these distinctively different cultures. Observing and experiencing what autism means in different cultures urge us to accept and appreciate individual differences or ‘differ-bilities’ in the diverse twenty-first century.     

Effect of walking surface perturbation training on slip propensity and local dynamic stability

The objective of the current study was to evaluate the effect of walkway perturbation training on human dynamic walking stability and slip propensity. A new walkway perturbation training program was developed using an instrumented, split-belt treadmill. Walkway surface perturbation was composed of multiple, randomized perturbation pulses. Each pulse was created by sudden accelerating the treadmill belt underneath the dominant foot briefly. Five healthy older adults were involved in a laboratory study. An inertial measurement unit was attached to the subject's low back region to record 3D acceleration. Maximum Lyapunov exponent (maxLE) and transitional acceleration of whole body center of mass (TA_COM) were computed to quantify the local dynamic stability and slip propensity, respectively. The results indicated a significant training effect on both maxLE and TA_COM. It was concluded that the walkway perturbation training program significantly improved local dynamic stability and reduced slip propensity.     

Coping with obsessive relational intrusion and stalking: the role of social support and coping strategies

This study investigated the extent to which social support mediates negative effects of stalking and obsessive relational intrusion (ORI) victimization. A survey of 1,068 respondents indicated that (a) ORI/stalking victimization is positively related to negative symptoms and trauma; (b) five different types of coping responses are positively related to negative symptoms; (c) four domains of social support reveal small but significant negative relationships with negative symptoms; and (d) females are more threatened by unwanted pursuit than male victims, and male pursuers are more threatening than female pursuers. Structural equation modeling indicates that the influence of ORI/stalking on negative symptoms is mediated by the use of coping strategies and the adequacy of social support. Discussion speculates on the functional theoretical value of coping and support processes in managing unwanted pursuit and stalking.     

Marginal information for structure learning

Structure learning for Bayesian networks has been made in a heuristic mode in search of an optimal model to avoid an explosive computational burden. In the learning process, a structural error which occurred at a point of learning may deteriorate its subsequent learning. We proposed a remedial approach to this error-for-error process by using marginal model structures. The remedy is made by fixing local errors in structure in reference to the marginal structures. In this sense, we call the remedy a marginally corrective procedure. We devised a new score function for the procedure which consists of two components, the likelihood function of a model and a discrepancy measure in marginal structures. The proposed method compares favourably with a couple of the most popular algorithms as shown in experiments with benchmark data sets.     

Challenges of Forest Governance: the Case of Forest Rehabilitation in Vietnam

Public Organization Review - Building upon the perspectives of the policy arrangement approach, this article explores the extent to which forest governance has changed under the two national...     

Drivers and outcomes of eco-design initiatives: a cross-country study of Malaysia and Australia

Review of Managerial Science - In this study, we have developed and empirically tested a model of the antecedents of eco-design initiatives and their outcome using data that was collected from 255...