Model selection with missing covariates for policy considerations in fox enclosures

Foxhound training enclosures are facilities where wild-trapped foxes are placed into large fenced areas for dog training purposes. Although the purpose of these facilities is to train dogs without harming foxes, dog-related mortality has been reported to be an issue in some enclosures. Using data from a fox enclosure in Virginia, we investigate factors that influence fox survival in these dog training facilities and propose a set of policies to improve fox survival. In particular, a Bayesian hierarchical model is formulated to compute fox survival probabilities based on a fox's time in the enclosure and the number of dogs allowed in the enclosure at one time. These calculations are complicated by missing information on the number of dogs in the enclosure for many days during the study. We elicit expert knowledge for a prior on the number of dogs to account for the uncertainty in the missing data. Reversible jump Markov Chain Monte Carlo is used for model selection in the presence of missing covariates. We then use our model to examine possible changes to foxhound training enclosure policy and what effect those changes may have on fox survival.     

Posttraumatic stress disorder (PTSD) symptoms among firefighters: Roles of resilience and locus of control

Firefighting is a an extremely stressful occupation that risks exposure to traumatic events as part of the job. Despite this, the literature on stress and trauma pays little attention to this occupation and its generalization to other, high risk occupations. This study examined resilience and work locus of control as predictors of posttraumatic stress disorder (PTSD) symptoms among Nigerian firefighters. Participants were 116 paid, professional firefighters (98 males and 18 females) who completed the Post-Traumatic Stress Disorder Checklist-Civilian Version (PCL-C), Resilience Scale (RS-14), and Work Locus of Control Scale (WLCS) and provided vital demographic information. Multiple regression analysis was used to analyze the data. Results showed that resilience negatively predicted PTSD symptoms such that higher resilience was associated with fewer symptoms of PTSD. Work locus of control was a positive predictor of PTSD symptoms, indicating that externality of control beliefs in the workplace was associated with more PTSD symptoms. Relevant demographic factors especially higher years of service, being a senior firefighter, and higher educational status were associated with lower PTSD symptoms. Findings underscore the potential value of resilience training and implementing behavioral health programs to modify firefighters’ external locus of control beliefs. Interventions should consider resilience and locus of control focused interventions as protective factors for PTSD.     

Predicting users’ privacy boundary management strategies on Facebook

This study examines the process by which Facebook users regulate their interpersonal privacy and information sharing. By tracing the influence of gender, Facebook usage, and privacy-protecting behaviors that are determined by knowledge and attitude, this research identifies a dynamic management process through which Facebook users maintain personal and interpersonal boundaries. Two distinct strategies are used – a privacy-setting control and a self-disclosure control. Based on data collected in a survey of 432 college students conducted in Hong Kong, our results suggest that different uses of Facebook activities (i.e., social interaction, social browsing, and entertainment) can be used to predict different boundary management strategies. Gender and privacy-related psychological factors (i.e., privacy literacy and concern about privacy) also showed significant effects. We concluded that the privacy setting options available on social networking sites such as Facebook were useful in providing users with a base point and a psychological sense of security, but they had little influence on the actual patterns of self-disclosure. To regulate their privacy boundaries, users were more likely to rely on frequently changing their privacy settings and on controlling their levels of self-disclosure.     

Some simple tools for communicating the biophysical condition of urban rivers to support decision making in relation to river restoration

This paper illustrates a set of simple tools that may be used to assess and communicate the biophysical condition of river and riparian habitat in urban catchments. The tools are based upon information collected using the Urban River Survey (URS), a habitat survey designed for application to 500?m stretches of urban river corridor, and comprise (i) a series of aggregate indices, (ii) three classifications relating to the materials, habitat and vegetation characteristics of urban river stretches, which contribute to an overall score, the Stretch Habitat Quality Index (SHQI), and (iii) two environmental gradients which define a URS matrix of engineering:habitat associations. This toolkit may be used to gather and exchange knowledge about urban river habitat quality to a wide range of specialist or non-technical stakeholders and local community members. It may be used to provide information at the catchment and reach scales to support stakeholder discussions and decision making relating to initial site selection for restoration works; to post project appraisal; and to track changes in river character across space and through time. Example applications of the tools are provided using URS surveys undertaken on tributaries of the River Thames within London in comparison with an archive of previous surveys from three other urban river systems. These tools are being validated in London as part of a larger interdisciplinary research project that is testing the suitability of this type of approach in the context of the London Rivers Action Plan, Water Framework Directive, and urban green space regeneration.