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Issue Information
Publication year - 2018
Publication title -
psych journal
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 0.417
H-Index - 14
eISSN - 2046-0260
pISSN - 2046-0252
DOI - 10.1002/pchj.192
Subject(s) - psychology , extraversion and introversion , happiness , set (abstract data type) , social psychology , personality , big five personality traits , developmental psychology , computer science , programming language
The September issue of PsyCh Journal features four Original Articles, beginning with an assessment of factors promoting proenvironmental behaviors in urban Chinese children, which finds environmental sensitivity and personal norms as two critical factors. This is followed by a verification of the Greek version of the Family Assessment Device (FAD), using correlations with the already validated Family Adaptability and Cohesion Evaluation Scale (FACES‐III). A third contribution explored the mediating role of social support and hope in the linkage of extraversion with happiness in a sample of undergraduates at a Malaysian university, finding a serial mediating effect, through social support and then hope, of extraversion in the enhancement of happiness, in addition to two stronger indirect effects. The fourth article examined the heritability of spatial working memory (SWM) and set‐shifting abilities, both consistently observed as impaired in individuals with schizophrenia and thus considered potential endophenotypes of this illness, finding moderate heritability for SWM but no significant heritability for set‐shifting ability in a healthy Chinese twin sample. These are followed by two Short Communications, the first reporting the use of quantitative semantics to find clusters of words in LinkedIn users' self‐descriptions to an employer or a friend. The second examined relationships among proactive personality, job crafting, and mental health in a survey of full‐time Chinese employees, finding that job crafting mediated a positive relationship between proactive personality and mental health. A final contribution presents reflections from within China on how crucial problems encountered in the development of new artificial intelligence (AI) algorithms (such as understanding the semantic structure of images) can promote better understandings of the human mind itself, leading in turn to more powerful AI capabilities.

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