Strengthening Family Resilience

Abstract

Researchers in the field of marriage and family therapy have largely ignored the effect of gender bias on clinical decision making. The purpose of this study was to explore if patient gender influenced prognostic judgments and if male and female therapists utilized different client characteristics when formulating prognostic judgments. Prognostic judgments were based on clinical profiles of couples seeking marital therapy for inhibited sexual desire. The multidimensional scaling procedure, KYST, was utilized to analyze the data. The findings indicated that the identified patient's gender did not influence prognostic judgments. However, therapist gender did influence the client characteristics used to formulate prognostic judgments.     

Toward a Social Psychology of Social Support

An analysis of social psychological aspects of social support examined several stages of the interaction between provider and recipient. In the first stage, the provider may offer support, respond positively to requests for support, or decline requests for support, whereas the recipient may seek, accept, or reject support. In the second stage, after support is exchanged, attributions about its effect may occur for each member, which in turn affects the extent to which the support is continued and the nature of its effect. Attributional errors about the effect may occur, especially if factors other than support—such as external factors—alter the problem status. The final stage follows the resolution of the problem and may involve reciprocation of support when roles are reversed, although such reciprocity may not be a necessary condition for social support. Possible mechanisms for both positive as well as negative effects of support were postulated. Assessing the effects of support is complicated by factors such as individual differences, the degree of match between social support beliefs held by provider and recipient, type of problem, and the timing of support.     

An analysis of information visualisation

Philosophers have relied on visual metaphors to analyse ideas and explain their theories at least since Plato. Descartes is famous for his system of axes, and Wittgenstein for his first design of truth table diagrams. Today, visualisation is a form of ‘computer-aided seeing’ information in data. Hence, information is the fundamental ‘currency’ exchanged through a visualisation pipeline. In this article, we examine the types of information that may occur at different stages of a general visualization pipeline. We do so from a quantitative and a qualitative perspective. The quantitative analysis is developed on the basis of Shannon’s information theory. The qualitative analysis is developed on the basis of Floridi’s taxonomy in the philosophy of information. We then discuss in detail how the condition of the ‘data processing inequality’ can be broken in a visualisation pipeline. This theoretic finding underlines the usefulness and importance of visualisation in dealing with the increasing problem of data deluge. We show that the subject of visualisation should be studied using both qualitative and quantitative approaches, preferably in an interdisciplinary synergy between information theory and the philosophy of information.     

The Best Friend and Friendship Group Influence on Adolescent Nonsuicidal Self-injury

This study examined associations of peer socialization and selection, over time, with nonsuicidal self-injury (NSSI) among 5,787 (54.2 % females) Chinese community adolescents. Both effects were tested using two aspects of adolescents’ friendship networks: the best friend and the friendship group. Participants completed questionnaires assessing NSSI, depressive symptoms and maladaptive impulsive behaviors at two waves of time over a 6-month period. Results showed that even after controlling for the effects of depressive symptoms and maladaptive impulsive behaviors, the best friends’ engagement in NSSI still significantly predicted adolescents’ own engagement in NSSI. Adolescents’ friendship groups’ NSSI status also significantly predicted their own NSSI status and frequency. Additionally, adolescents with NSSI tended to join peer groups with other members also engaging in NSSI.     

Effect of strain rate on the compressive behaviour of a Zr56Al10.9Ni4.6Cu27.8Nb0.7 bulk metallic glass

We report the study of the effect of strain rate on the compressive behaviour of a Zr₅₆Al_10.9Ni_4.6Cu_27.8Nb_0.7 bulk metallic glass. The results indicated that both the strength and plasticity of the glass increase with increasing the strain rate up to 10^?5 s^?1, above which the strength and plasticity start to decrease. The enhanced mechanical properties under a strain rate of 10^?5 s^?1 are due to the emission/propagation rate of the shear bands being consistent with the strain rate.     

A unified approach to multiple‐set canonical correlation analysis and principal components analysis

Multiple‐set canonical correlation analysis and principal components analysis are popular data reduction techniques in various fields, including psychology. Both techniques aim to extract a series of weighted composites or components of observed variables for the purpose of data reduction. However, their objectives of performing data reduction are different. Multiple‐set canonical correlation analysis focuses on describing the association among several sets of variables through data reduction, whereas principal components analysis concentrates on explaining the maximum variance of a single set of variables. In this paper, we provide a unified framework that combines these seemingly incompatible techniques. The proposed approach embraces the two techniques as special cases. More importantly, it permits a compromise between the techniques in yielding solutions. For instance, we may obtain components in such a way that they maximize the association among multiple data sets, while also accounting for the variance of each data set. We develop a single optimization function for parameter estimation, which is a weighted sum of two criteria for multiple‐set canonical correlation analysis and principal components analysis. We minimize this function analytically. We conduct simulation studies to investigate the performance of the proposed approach based on synthetic data. We also apply the approach for the analysis of functional neuroimaging data to illustrate its empirical usefulness.     

The Effect of Interactivity on Learning Physical Actions in Virtual Reality

Virtual reality (VR) offers new possibilities for learning, specifically for training individuals to perform physical movements such as physical therapy and exercise. The current article examines two aspects of VR that uniquely contribute to media interactivity: the ability to capture and review physical behavior and the ability to see one's avatar rendered in real time from third person points of view. In two studies, we utilized a state-of-the-art, image-based tele-immersive system, capable of tracking and rendering many degrees of freedom of human motion in real time. In Experiment 1, participants learned better in VR than in a video learning condition according to self-report measures, and the cause of the advantage was seeing one's avatar stereoscopically in the third person. In Experiment 2, we added a virtual mirror in the learning environment to further leverage the ability to see oneself from novel angles in real time. Participants learned better in VR than in video according to objective performance measures. Implications for learning via interactive digital media are discussed.     

Mapping the time course of the positive classification advantage: An ERP study

The aim of the present study was to investigate the time course of the positive advantage in the expression classification of faces by recording event-related potentials (ERPs). Although neutral faces were classified more quickly than either happy or sad faces, a significant positive classification advantage (PCA)—that is, faster classification for happy than for sad faces—was found. For ERP data, as compared with sad faces, happy faces elicited a smaller N170 and a larger posterior N2 component. The P3 was modulated by facial expressions with higher amplitudes and shorter latencies for both happy and neutral stimuli than for sad stimuli, and the reaction times were significantly correlated with the amplitude and latency of the P3. Overall, these data showed robust PCA in expression classification, starting when the stimulus has been recognized as a face revealed by the N170 component.     

Wang Yangming and the Way of World Philosophy

This essay attempts to contextualize the importance of Wang Yangming’s 王陽明 philosophy in terms of world philosophy in the manner of Goethe’s innovative plan for “world literature” (Weltliteratur). China has the long history of philosophizing rather than non-philosophy contrary to the glaring and inexcusable misunderstanding of Hegel the Eurocentric universalist or monist. In today’s globalizing world of multicultural pluralism, ethnocentric universalism has become outdated and outmoded. Transversality, which is at once intercultural, interspecific, interdisciplinary, and intersensorial, is a far more befitting response than universality. In this context, what is focused and emphasized in Wang’s world philosophy is mainly fourfold. First, there is the unity or circularity of knowledge and action, that is, knowledge is the beginning of action, and action is the consummation of knowledge. Second, sincerity is the moral soul of Sinism as it is the enabling act of making perform all other virtues, including ren 仁. Third, in Sinism, including Wang’s philosophy, there is no Cartesian dualism in that the mind and the body are inseparable soulmates. Fourth, if ethics is prima philosophia, then geophilosophy is ultima philosophia to sustain and perpetuate all life-forms on earth (geo).