453 research outputs found

    Trait self-control and beliefs about the utility of emotions for initiatory and inhibitory self-control

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    How do people with high trait self-control achieve their success? This research aimed to provide evidence for beliefs about emotion utility as a potential mechanism. Specifically, because beliefs about the utility of emotions predict emotion regulation and successful performance, we investigate the hypothesis that trait self-control influences beliefs about the utility of emotions for self-control. Two preregistered studies examined whether beliefs about the utility of emotions in everyday self-control situations varied depending on the person (trait self-control) and the situation (initiatory or inhibitory self-control). Our key finding was that people considered positive emotions more useful for self-control than negative emotions. This effect was also moderated by situational and individual factors, such that positive emotions were considered especially useful by participants with high trait self-control and in situations requiring initiatory self-control (with the opposite effect for negative emotions). This research suggests a potential role for instrumental emotion regulation in self-control success

    Science lives: School choices and ‘natural tendencies’

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    An analysis of 12 semi-structured interviews with university-based scientists and non-scientists illustrates their life journeys towards, or away from, science and the strengths and impact of life occurrences leading them to choose science or non-science professions. We have adopted narrative approaches and used Mezirow's transformative learning theory framework. The areas of discussion from the result have stressed on three main categories that include ‘smooth transition’, ‘incremental wavering transition' and ‘transformative transition’. The article concludes by discussing the key influences that shaped initial attitudes and direction in these people through natural inclination, environmental inspirations and perceptions of science

    Search based software engineering: Trends, techniques and applications

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    © ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version is available from the link below.In the past five years there has been a dramatic increase in work on Search-Based Software Engineering (SBSE), an approach to Software Engineering (SE) in which Search-Based Optimization (SBO) algorithms are used to address problems in SE. SBSE has been applied to problems throughout the SE lifecycle, from requirements and project planning to maintenance and reengineering. The approach is attractive because it offers a suite of adaptive automated and semiautomated solutions in situations typified by large complex problem spaces with multiple competing and conflicting objectives. This article provides a review and classification of literature on SBSE. The work identifies research trends and relationships between the techniques applied and the applications to which they have been applied and highlights gaps in the literature and avenues for further research.EPSRC and E

    Regional Selection Acting on the OFD1 Gene Family

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    The OFD1 (oral-facial-digital, type 1) gene is implicated in several developmental disorders in humans. The X-linked OFD1 (OFD1X) is conserved in Eutheria. Knowledge about the Y-linked paralog (OFD1Y) is limited. In this study, we identified an OFD1Y on the bovine Y chromosome, which is expressed differentially from the bovine OFD1X. Phylogenetic analysis indicated that: a) the eutherian OFD1X and OFD1Y were derived from the pair of ancestral autosomes during sex chromosome evolution; b) the autosomal OFD1 pseudogenes, present in Catarrhini and Murinae, were derived from retropositions of OFD1X after the divergence of primates and rodents; and c) the presence of OFD1Y in the ampliconic region of the primate Y chromosome is an indication that the expansion of the ampliconic region may initiate from the X-degenerated sequence. In addition, we found that different regions of OFD1/OFD1X/OFD1Y are under differential selection pressures. The C-terminal half of OFD1 is under relaxed selection with an elevated Ka/Ks ratio and clustered positively selected sites, whereas the N-terminal half is under stronger constraints. This study provides some insights into why the OFD1X gene causes OFD1 (male-lethal X-linked dominant) and SGBS2 & JSRDs (X-linked recessive) syndromes in humans, and reveals the origin and evolution of the OFD1 family, which will facilitate further clinical investigation of the OFD1-related syndromes

    Explorations using computer simulation to comprehend thematic apperceptive measurement of motivation

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    The new theory of motivation by Atkinson and Birch (1970), based on conceptual analysis of a change in activity, has been programmed to allow computer simulation of effects of differences in motivation on the stream of operant behavior. Simulation of conditions that exist when people who differ in strength of achievement motive write imaginative stories in response to a sequence of pictures shows that construct validity does not require internal consistency as traditionally supposed. The theoretically deduced differences in total time spent imagining achieving (instead of something else) can postdict input differences in motive strength (i.e., construct validity) even when there is little or no internal consistency reliability as indicated by Cronbach's (1951) alpha computed from theoretically deduced time spent imagining achievement in response to particular pictures. This general point has already been amply documented in 25 years of productive empirical research using TAT n Achievement. Now a definitive theoretical refutation of the repeated psychometric criticism of the method is provided. Those who have been moved “to dispel fantasies about fantasy-based measures of achievement motivation” (Entwistle, 1972) are invited, instead, to examine the shallow theoretical foudation of our traditional myths of measurement.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45359/1/11031_2005_Article_BF00997578.pd
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