Can we immunize children against violence?

Psychiatric nurses should support best practices to prevent youth violence. The magnitude and significance of youth violence gives us both social and moral mandates to proceed. Health care professionals have made giant strides in sparing our children from the ravages of childhood diseases. Let us try to do the same by preventing the development of violent behaviors.     

Camera-Related Behaviors during Video Recorded Medical Interactions

Video recording provides an objective record of the content of medical interactions. However, there is concern that cameras may be reactive measurement devices that alter what normally transpires during interactions. This study addressed potential reactivity of cameras in medical interactions. Interactions between 45 patients and 14 medical oncologists were video recorded and coded for camera-related behaviors. Eleven of 45 patients performed none of the behaviors. Among the other patients, camera-related behaviors were infrequent and, on average, constituted about 0.1% (one-tenth of one percent) of total interaction time. Behaviors occurred most often in very early stages of interactions, and when physicians were absent from the room. Seven physicians showed camera-related behaviors, comprising less than 0.1% of the time they were in the interaction. Results suggest video recording can provide nonreactive means of studying medical interactions.

Robust signed-rank estimation and variable selection for semi-parametric additive partial linear models

A fully nonparametric model may not perform well or when the researcher wants to use a parametric model but the functional form with respect to a subset of the regressors or the density of the errors is not known. This becomes even more challenging when the data contain gross outliers or unusual observations. However, in practice the true covariates are not known in advance, nor is the smoothness of the functional form. A robust model selection approach through which we can choose the relevant covariates components and estimate the smoothing function may represent an appealing tool to the solution. A weighted signed-rank estimation and variable selection under the adaptive lasso for semi-parametric partial additive models is considered in this paper. B-spline is used to estimate the unknown additive nonparametric function. It is shown that despite using B-spline to estimate the unknown additive nonparametric function, the proposed estimator has an oracle property. The robustness of the weighted signed-rank approach for data with heavy-tail, contaminated errors, and data containing high-leverage points are validated via finite sample simulations. A practical application to an economic study is provided using an updated Canadian household gasoline consumption data.     

Outlaws or in-laws? Queer theory, LGBT studies, and religious studies

Many queer theorists, like many queer activists and perhaps many LGBT people in general, regard religion as so inimical to their purposes and lives that it is not even worthy of critique; references to religion in queer theory, queer studies, and even LGBT studies are usually sparse, brief, and generally derogatory. Likewise, within most of the field of religious studies, queerness is rarely an issue of concern or even consciousness except in the context of organizational tensions over the proper roles of "homosexuals." While there is a growing body of work that brings these two fields together, the study of religion seems to be adapting only haltingly and partially to contemporary developments inLGBTstudies and queer theory. This essay assesses the current state of the "proto-fields" of LGBT studies and queer studies in religion, offers suggestions for new directions in the future, and considers the potential benefits of the interaction of these fields.     

Modeling Demand For Unionization With Nontraditional Data Analysis Methods

Upon reviewing the extant literature on determinants of unionism, it becomes clear that many areas that have had a plethora of research attention do not converge upon singularly directional findings. This study explores a potential cause of such an apparent anomaly: nonlinearity of data. An exploratory examination of correlation coefficients among typical union determinant variables seems to show different patterns of relationships at different levels of union demand. Thus, a break from traditional linear data analysis techniques is explored in the interest of explaining more variance with typical, theoretically derived variables by using neural network analysis. Results of analyses on industry level data reveal that using neural network analysis to model union demand explained over four times as much variance as multiple regression analysis.