Facial emotion identification and sexual assault risk detection among college student sexual assault victims and nonvictims

Objective: High rates of sexual victimization among college students necessitate further study of factors associated with sexual assault risk detection. The present study examined how social information processing relates to sexual assault risk detection as a function of sexual assault victimization history. Participants: 225 undergraduates (M_age = 19.12, SD = 1.44; 66% women). Methods: Participants completed an online questionnaire assessing victimization history, an emotion identification task, and a sexual assault risk detection task between June 2013 and May 2014. Results: Emotion identification moderated the association between victimization history and risk detection such that sexual assault survivors with lower emotion identification accuracy also reported the least risk in a sexual assault vignette. Conclusions: Findings suggest that differences in social information processing, specifically recognition of others' emotions, are associated with sexual assault risk detection. College prevention programs could incorporate emotional awareness strategies, particularly for men and women who are sexual assault survivors.     

Bodies of work: skilling at the bottom of the global nursing care chain

ABSTRACT

In the midst of a growing global market for migrant care work, there is a need to investigate not only how such labour is consumed but how ‘ideal’ care workers are also produced. This paper investigates how schools within migrant-sending countries produce nurse labour through body work or the testing and honing of hospital procedures on patients’ bodies. Focusing on the case of the Philippines, this paper shows how the education of nurses for export creates a paradoxical impact on care work within local healthcare institutions. Aspiring nurse migrants provide much-needed manpower to understaffed public hospitals yet, treat poor patients as docile bodies to enhance their skills for future foreign employers. This practice creates an inherent inequality in the actual skilling of aspiring nurse migrants, where the poorest bodies allow nurse migrants to provide better care to more privileged bodies in wealthier nations.     

Estimating Listeria monocytogenes Growth in Ready-to-Eat Chicken Salad Using a Challenge Test for Quantitative Microbial Risk Assessment

Currently, there is a growing preference for convenience food products, such as ready-to-eat (RTE) foods, associated with long refrigerated shelf-lives, not requiring a heat treatment prior to consumption. Because Listeria monocytogenes is able to grow at refrigeration temperatures, inconsistent temperatures during production, distribution, and at consumer's household may allow for the pathogen to thrive, reaching unsafe limits. L. monocytogenes is the causative agent of listeriosis, a rare but severe human illness, with high fatality rates, transmitted almost exclusively by food consumption. With the aim of assessing the quantitative microbial risk of L. monocytogenes in RTE chicken salads, a challenge test was performed. Salads were inoculated with a three-strain mixture of cold-adapted L. monocytogenes and stored at 4, 12, and 16 °C for eight days. Results revealed that the salad was able to support L. monocytogenes’ growth, even at refrigeration temperatures. The Baranyi primary model was fitted to microbiological data to estimate the pathogen's growth kinetic parameters. Temperature effect on the maximum specific growth rate (μ_max) was modeled using a square-root-type model. Storage temperature significantly influenced μ_max of L. monocytogenes (p < 0.05). These predicted growth models for L. monocytogenes were subsequently used to develop a quantitative microbial risk assessment, estimating a median number of 0.00008726 listeriosis cases per year linked to the consumption of these RTE salads. Sensitivity analysis considering different time–temperature scenarios indicated a very low median risk per portion (<−7 log), even if the assessed RTE chicken salad was kept in abuse storage conditions.     

‘My Child is Anxious Because We Might Get Deported’: Brief Therapy from MRI with an Immigrant Family in the United States

As we go to press in a COVID-19 world, the topic of anxiety is foremost on our minds. While each situation has to be considered in its own context, how to manage different anxieties has common denominators. There is currently a sharp increase in forced migration around the globe so mental health professionals must develop effective skills, like the ability to adapt services to different contexts and cultures, to manage the needs of immigrant people. Problem-Solving Brief Therapy, as developed at the Mental Research Institute in Palo Alto, is a systemic model of therapy, which aims at promoting change in the complaint the presenting client (the ‘talker’) cares about. The model’s roots in Constructivism foster integrating the clients’ beliefs and values into therapy to allow the therapists to adapt to the clients’ particular needs. This paper is the analysis of a single case where the therapist worked with an immigrant family because their child suffered from severe anxiety related to the parents’ threatened deportation. The paper focuses on premises and strategies that allowed minimising cultural barriers between therapists and family members, thus facilitating a strong therapeutic alliance conducive to improvement.     

Multichannel electroencephalographic analyses via dynamic regression models with time-varying lag–lead structure

Multiple time series of scalp electrical potential activity are generated routinely in electroencephalographic (EEG) studies. Such recordings provide important non-invasive data about brain function in human neuropsychiatric disorders. Analyses of EEG traces aim to isolate characteristics of their spatiotemporal dynamics that may be useful in diagnosis, or may improve the understanding of the underlying neurophysiology or may improve treatment through identifying predictors and indicators of clinical outcomes. We discuss the development and application of non-stationary time series models for multiple EEG series generated from individual subjects in a clinical neuropsychiatric setting. The subjects are depressed patients experiencing generalized tonic–clonic seizures elicited by electroconvulsive therapy (ECT) as antidepressant treatment. Two varieties of models—dynamic latent factor models and dynamic regression models—are introduced and studied. We discuss model motivation and form, and aspects of statistical analysis including parameter identifiability, posterior inference and implementation of these models via Markov chain Monte Carlo techniques. In an application to the analysis of a typical set of 19 EEG series recorded during an ECT seizure at different locations over a patient's scalp, these models reveal time-varying features across the series that are strongly related to the placement of the electrodes. We illustrate various model outputs, the exploration of such time-varying spatial structure and its relevance in the ECT study, and in basic EEG research in general.     

Social Enterprise Performance: The Role of Market and Social Entrepreneurship Orientations

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Market orientation has been presented as an important predictor of business performance, and it is presumed to contribute...     

SOVA: Design of a Stakeholder Informed Social Media Website for Depressed Adolescents and Their Parents

Two moderated social media websites were designed for increasing likelihood for mental health treatment engagement for depressed adolescents (sova.pitt.edu) and for parents (wisesova.pitt.edu). This article describes iterative stakeholder interviews conducted with adolescents, young adults, parents, advocates, and clinicians and use of human computer interaction techniques to inform major design changes which: (a) underscored the role of online interaction to provide emotional support and information, (b) importance of anonymity, (c) desire to share positive media, and (d) need for frequent moderation. Future studies will examine acceptability and effectiveness of revised websites in helping depressed adolescents and their parents engage with treatment.     

Urban poverty and labor market dynamics in five Latin American countries: 2003–2008

Latin America experienced a long period of sustained growth since 2003 that positively impacted social and labor market indicators, including poverty. This paper contributes to the understanding of this process as it carries out a comparative study of poverty dynamics in five Latin American countries during 2003–2008. It analyzes the extent to which countries with different levels of poverty incidence diverge in terms of poverty exit and entry rates, identifies the relative importance of the frequency and impact of events associated to poverty transitions and examines how these events affect households with different characteristics. For this, a dynamic analysis of panel data is carried out using regular household surveys. Sizeable rates of poverty movements were observed in all five countries and it was found that a large proportion of household experienced positive events, mainly related to the labor market; however, only a small fraction of them actually exited poverty. Demographic events and public cash transfers proved to be of little relevance; in particular, the latter did not contribute much either to intensify poverty exits or to prevent poverty entries. Households with children experienced more (less) negative (positive) events than those without children. It appeared therefore that even when the economy behaved reasonably well at the aggregate level, high levels of labor turnover and income mobility (even of a negative nature) still prevail, mainly associated to the high level of precariousness and the undeveloped system of social protection that characterize the studied countries.     

Characterizing multidimensional inequality measures which fulfil the Pigou–Dalton bundle principle

The Pigou–Dalton bundle dominance introduced by Fleurbaey and Trannoy (Social Choice and Welfare, 2003) captures the basic idea of the Pigou–Dalton transfer principle, demanding that, in the multidimensional context also, “a transfer from a richer person to a poorer one decreases inequality”. However, up to now, this principle has not been incorporated to derive multidimensional inequality measures. The aim of this article is to characterize measures which fulfil this property, and to identify sub-families of indices from a normative approach. The families we derive share their functional forms with others having already been obtained in the literature, the major difference being the restrictions upon the parameters.     

Conference reports

The lack of women engaging themselves in science has been thoroughly discussed in feminist and nonfeminist science studies. It has remained a mystery why so few female students take professional careers as scientists. Though more and more female students enroll in physics studies, for example, they seem to disappear before they reach academic positions. Instead of discussing this as a query of gender inequality in this article, I discuss the more general issues of inclusion and exclusion in communities of practices. I argue that selection mechanisms in a group of students can be connected to their premises for engaging themselves in an activity. As students have different embodied experiences, they also have different premises for engaging themselves. What seems like the same practice can, in fact, be analyzed as practices belonging to different activities. This approach might bring us a small step further in the discussions of the relations between gender and science.