Social information facilitates learning about novel food sources in adult flower-visiting bats

Animal Cognition - Incorporating novel food sources into their diet is crucial for animals in changing environments. Although the utilization of novel food sources can be learned individually,...     

Living (dys)regulated and alienated young masculinity—Young men's embodied experiences of mental disorders and suicidality

Introduction

Mental disorders, such as depression and anxiety with interlinked suicidality, are the leading cause of health-related disability among young men. Knowledge of the interaction between emotional, bodily, social and gendered mental health processes in young men is limited and therefore needed.

Aim

This study aimed to explore young men's lived embodied experiences of mental disorders and suicidality, and to conceptualise these by integrating affective–emotional, physiological, social and gendered processes.

Methods

Semistructured individual interviews were conducted with 13 young men who had sought professional help for mental disorders and suicidality. Grounded theory (GT) was used with a social constructivist perspective.

Results

The results comprise one core category—Living (dys)regulated and alienated young masculinity—with related categories “battling with the emotional body,” “suffering in social silence” and “balancing embodied darkness and distress.” The GT illustrates how young men navigate and manage their embodied and emotional suffering in a context of “regulative” masculine and social norms alongside insufficient social support.

Conclusion

Our results suggest that young men's lived embodied experiences of mental disorders and suicidality can be understood as a dynamic process of internal and external “(dys)regulation and alienation.” The generated GT provides a broad tentative explanation model, contributing to theory development, and serves as a basis for gender-sensitive interventions—in both psychotherapy and physiotherapy—integrating body, mind and the social context.     

Spontaneous and reactive attributions following academic achievement

This paper describes two studies which deal with attributions following academic achievement. Study 1 investigated the influence of different types of instructions (spontaneous vs. reactive), self-concepts of ability (high vs. low), and outcomes (success vs. failure) on causal attributions in a school setting. Participants were 402 eighth to tenth graders. Students with a low self-concept of ability produced more attributions than students with a high self-concept. Under reactive conditions, students' attributions following success were in accordance with the self-consistency theory. Under spontaneous conditions, these students produced attributions in a self-serving way. Furthermore, success evoked more attributions than failure. In Study 2, 160 university students worked on an unfamiliar task (a computer-simulated dynamic system). The results supported the assumption that students spontaneously generate attributions to raise or at least preserve their self-esteem.     

The Global Community, Religion, and Education: The Modernity of Dewey's Social Philosophy

As a starting point this paper takes Dewey's nowadays oftenstressed modernity and examines his social philosophy againstthe background of the current debates on republicanism andcommunitarianism. Particularly, the anaysis of Dewey's The Public and its Problem (1927) concludesthat the attention being paid to Dewey is problematic asspecific religious assumptions – explicitly developedin A Common Faith (1934) – lie in the backgroundof his social philosophy, and are hardly being recognized.However, as it shall be shown, without considering thereligious basis, neither Dewey's social philosophy norhis educational theory can be properly understood.     

Towards end-to-end likelihood-free inference with convolutional neural networks

Complex simulator-based models with non-standard sampling distributions require sophisticated design choices for reliable approximate parameter inference. We introduce a fast, end-to-end approach for approximate Bayesian computation (ABC) based on fully convolutional neural networks. The method enables users of ABC to derive simultaneously the posterior mean and variance of multidimensional posterior distributions directly from raw simulated data. Once trained on simulated data, the convolutional neural network is able to map real data samples of variable size to the first two posterior moments of the relevant parameter's distributions. Thus, in contrast to other machine learning approaches to ABC, our approach allows us to generate reusable models that can be applied by different researchers employing the same model. We verify the utility of our method on two common statistical models (i.e., a multivariate normal distribution and a multiple regression scenario), for which the posterior parameter distributions can be derived analytically. We then apply our method to recover the parameters of the leaky competing accumulator (LCA) model and we reference our results to the current state-of-the-art technique, which is the probability density estimation (PDA). Results show that our method exhibits a lower approximation error compared with other machine learning approaches to ABC. It also performs similarly to PDA in recovering the parameters of the LCA model.     

A new quantile estimator with weights based on a subsampling approach

Quantiles are widely used in both theoretical and applied statistics, and it is important to be able to deploy appropriate quantile estimators. To improve performance in the lower and upper quantiles, especially with small sample sizes, a new quantile estimator is introduced which is a weighted average of all order statistics. The new estimator, denoted NO, has desirable asymptotic properties. Moreover, it offers practical advantages over four estimators in terms of efficiency in most experimental settings. The Harrell–Davis quantile estimator, the default quantile estimator of the R programming language, the Sfakianakis–Verginis SV2 quantile estimator and a kernel quantile estimator. The NO quantile estimator is also utilized in comparing two independent groups with a percentile bootstrap method and, as expected, it is more successful than other estimators in controlling Type I error rates.     

An Examination of the Biblical Evidence for Open Theism

Open Theist theologians argue that their view of divine foreknowledge and providence is the correct interpretation of the Bible, and suggest some biblical evidence to support this claim. Among these theologians, Gregory A. Boyd’s case is the most systematic, and also the most comprehensive and rigorous. Taking into consideration (1) the main philosophical claims of Open Theism and its main rivals, namely Calvinism and Molinism, and (2) Open Theist theologians’ interpretative principles for the Bible, the biblical evidence for Open Theism suggested by Boyd can be classified into three groups according to their strength. I will argue that the first group of themes has no evidential value for Open Theism, since these themes can be interpreted just as plausibly from a Calvinist or Molinist perspective. By contrast, the second group of themes has some evidential value and thus constitutes prima facie evidence for Open Theism, since these themes make most sense under an Open Theist interpretation. However, these themes also make some sense on a Molinist reading. The third group of themes, I argue, has most evidential value for Open Theism, since it seems hard to reconcile these themes either with Calvinism or Molinism.     

Instrumental Robots

Science and Engineering Ethics - Advances in artificial intelligence research allow us to build fairly sophisticated agents: robots and computer programs capable of acting and deciding on their own...     

The longitudinal associations between personal belief in a just world and teacher justice among advantaged and disadvantaged school students

The Just World Hypothesis states that people need to believe in a just world in which they get what they deserve and deserve what they get. This study examines the longitudinal associations between personal belief in a just world (BJW), the belief that events in one's own life are just and teacher justice in different status groups. It is posited that the more individuals believe in a personal just world, the more they feel they are treated justly by others, and this should be particularly true for students with a low-status background. Longitudinal questionnaire data were obtained from students with German and Turkish/Muslim backgrounds over a period of 3–4 months. The pattern of results revealed that personal BJW was important for the Turkish/Muslim students in evaluating teachers as more just over a given period of time, but not for the German students. That is, the buffering effect of personal BJW was crucial for the disadvantaged students.