The Big Five personality traits,Big Two metatraits and social media: A meta-analysis

This article reported a meta-analysis of the relationships between social network site use and the Big Five (neuroticism, extraversion, openness, agreeableness, and conscientiousness) as well as the Big Two (plasticity and stability) personality meta-traits. A random effect meta-analysis model was used to calculate the meta-results of Big Five. Extraversion and openness were the strongest predictor of SNS activities (e.g. gaming, SNS interaction, etc.), while conscientiousness, neuroticism, and agreeableness only correlated with a few of the SNS activities. A meta-analytical structural equation model further demonstrated that plasticity was positively correlated with SNS activities, whereas stability was a negative predictor. Practical implications for social media industry and users were discussed.     

THE EXPLORATION OF ECOSPACE: EXTENDING OR SUPPLEMENTING THE NEO‐DARWINIAN PARADIGM?

The neo‐Darwinian paradigm, focusing on natural selection of genes responsible for differential adaption, provides the foundation for explaining evolutionary processes. The modern synthesis is broader, however, focusing on organisms rather than on gene transmissions per se. Yet, strands of current biology argue for further supplementation of Darwinian theory, pointing to nonbiotic drivers of evolutionary development, for example, self‐organization of physical structures, and the interaction between individual organisms, groups of organisms, and their nonbiotic environments. According to niche construction theory, when organisms and groups develop, they not only adapt to their environments but modify their environments, creating new habitats for later generations. Insofar as ecological niches persist beyond the lifecycle of individual organisms, an ecological inheritance system exists alongside genetic inheritance. Such ecological structures may even facilitate the development of a cultural inheritance system, as we see in humans. The article discusses theological perspectives of such new developments within holistic biology.     

A Network Approach to Affect Regulation Dynamics and Personality Trait‐Induced Variations: Extraversion and Neuroticism Moderate Reciprocal Influences between Affect and Affect Regulation Strategies

The objectives of the present study were twofold. First, we tested a new approach to affect regulation dynamics, conceptualized as a network made up of the reciprocal influences that affect and affect regulation strategies constantly exert on each other. Second, we attempted to gain a better understanding of these dynamics by examining how they vary according to broad personality traits. To this end, we adopted an experience sampling method, involving five daily assessments over a 2‐week period. In each assessment, participants indicated their current affective experience and the way they had implemented five well‐known affect regulation strategies (i.e. appreciation, positive reappraisal, distraction, expressive suppression, and rumination) since the previous assessment. At the sample level, the network of affect regulation dynamics was characterized by positive feedback loops between positive affect and so‐called broad‐minded strategies, and between negative affect and narrow‐minded strategies. The form of this network varied according to levels of extraversion and neuroticism. Our findings are discussed in light of current knowledge about personality and affect regulation. Copyright © 2017 European Association of Personality Psychology     

The relationship between dynamic strain aging and serrated flow behaviour in magnesium alloy

The relationship between dynamic strain ageing (DSA) and serrated flow has been investigated via alternately switching strain rates at various temperatures in a Mg–3Nd–1Zn alloy. The results reveal that serrated flow is enhanced with decreasing strain rate and increasing temperature and tends to vanish, while the DSA continually intensifies as revealed by a higher flow stress even after the serration flow disappears. A mechanism is proposed, which could explain some abnormal deformation behaviour, such as a negative strain rate sensitivity and thermal hardening.     

Missing piece of the puzzle in the science of consciousness: Resting state and endogenous correlates of consciousness

Consciousness still stands as one of the most interesting and the most elusive problems of neuroscience. Finding its correlates is the first step toward its satisfactory explanation. Several theories have proposed its correlates but none of them seem to be generally accepted even though most of them share some very similar elements. These elements are the activity of the thalamus, which is considered by some as the central region for consciousness, and gamma synchronization, which should be the general principal for the emergence of conscious experience. However, all of these proposed theories share one characteristic and that is that they do not take into consideration the recently discovered endogenous activity of the brain, which is generally associated with the default mode network. Although the activity of this large scale brain network is in correlation with various levels of consciousness it is still missing in discussions of consciousness. This review recognizes the importance of endogenous activity and points out the important discoveries of endogenous activity that could be an important step toward a satisfactory explanation of consciousness.     

开放监控冥想的特定影响效果

近几年来,开放监控冥想(Open Monitoring Meditation,OM)受到越来越多的关注,许多研究者对它进行了系统研究。与其它冥想,特别是与聚焦注意冥想(Focus Attention Meditation,FA)相比较,OM具有明显的差异。OM似乎对某些认知过程(创造性思维)的影响以及疼痛和焦虑的缓解具有优势,而对注意力的影响结果并不一致。脑电波、功能定位以及脑功能关联性方面的研究结果初步揭示了开放监控冥想过程中的脑神经机制,但是这种冥想对于默认网络的影响效果表现出不一致性。另外,研究中使用的OM训练方法也存在明显的差异性,尤其是注意的起点是否从呼吸开始,以及是否需要保持注意两个方面。这些结果需要今后的研究使用更加标准化的方法进一步明确。     

Evolution of the Colored Eco-Genetic Relationship Map (CEGRM) for Assessing Social Functioning in Women in Hereditary Breast-Ovarian (HBOC) Families

The CEGRM was initially conceived as a simple, concise, visual representation of the social interaction domains of information, tangible services and emotional exchanges (Kenen, R., & Peters, J. (2001). J Genet Counsel, 10, 289–309). A blend of the genetic pedigree, genogram, and ecomap, the CEGRM was developed to facilitate contemporary genetic counseling goals. An exploratory pilot study of 20 subjects showed that it was feasible, comfortable and efficiently accomplished, and that the process was useful both for assessment and as an intervention with study participants (Peters, J. A., Kenen, R., Giusti, R., Loud, J., Weissman, N., & Greene, M. H. (2004). Am J Med Genet Part A, 130A, 258–264). Subsequently, we have extended the CEGRM to 150 women from hereditary breast/ovarian cancer (HBOC) families; three different investigators have successfully administered this tool. The preliminary findings from the exploratory study were confirmed in the larger sample. Engaging in the interactive, insight-promoting CEGRM process provides a novel tool for assessing the social context of genetic testing, and helping high-risk women better understand and integrate genetic information into their personal and family identities, health beliefs, and decisions.     

Data-Based Construction of Multidimensional Probabilistic Models with MUDIM

The goal of the paper is to introduce a program system, MUDIM,and to show how it can be used for multidimensional probabilisticmodel construction. The system is being developed with the goalto gain a tool for experimental computations with compositionalmodels which are, in a way, an alternative to Bayesian networks.These models are based on the idea of composing a multidimensionaldistribution from a great number of low-dimensional ones. Whenconsidering knowledge-based systems, this approach quite naturallycope with the difficulty of expressing global knowledge abouta field of practise. We have only to work with a system of piecesof local knowledge from which the global knowledge must be assembled.     

The large-scale structure of semantic networks: statistical analyses and a model of semantic growth

We present statistical analyses of the large-scale structure of 3 types of semantic networks: word associations, WordNet, and Roget's Thesaurus. We show that they have a small-world structure, characterized by sparse connectivity, short average path lengths between words, and strong local clustering. In addition, the distributions of the number of connections follow power laws that indicate a scale-free pattern of connectivity, with most nodes having relatively few connections joined together through a small number of hubs with many connections. These regularities have also been found in certain other complex natural networks, such as the World Wide Web, but they are not consistent with many conventional models of semantic organization, based on inheritance hierarchies, arbitrarily structured networks, or high-dimensional vector spaces. We propose that these structures reflect the mechanisms by which semantic networks grow. We describe a simple model for semantic growth, in which each new word or concept is connected to an existing network by differentiating the connectivity pattern of an existing node. This model generates appropriate small-world statistics and power-law connectivity distributions, and it also suggests one possible mechanistic basis for the effects of learning history variables (age of acquisition, usage frequency) on behavioral performance in semantic processing tasks.