536 research outputs found

    A range of memory possibilities: The challenge of the false memory debate for clinicians and researchers

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    The aim of this article is to present a succinct review and evaluation of the main areas of contention in the false memory debate and, from this basis, to suggest ways in which the best from both sides can be utilised. We examine the potential pitfalls of therapy in terms of the fallibility and suggestibility of autobiographical memory and therapists and therapeutic techniques as the architects of false memories. We then evaluate the case for false memory formation examining if some researchers hold misconceived views of psychotherapy, if experimental studies lack ecological validity, and the effect of trauma on memory. Finally, we explore how the potential pitfalls of therapy can be avoided in practice, reflecting on the usefulness of British Psychological Society guidelines, how clinicians can implement research findings, and how research on the false memory debate can be improved. We conclude that the way forward is researcher-clinician collaboration in the development of ecologically valid research paradigms

    Merging and Splitting in Cooperative Games: Some (Im-)Possibility Results

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    Solutions for cooperative games with side-payments can be manipulated by merging a coalition of players into a single player, or, conversely, splitting a player into a number of smaller players. This paper establishes some (im-)possibility results concerning merging- or splitting-proofness of core solutions of balanced and convex games.cooperative games; manipulation; Dutta-Ray solution

    Factors of importance for virulence and persistence of Listeria monocytogenes

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    Kunsten at lege i organisationer: en Bateson-inspireret diskussion af læring og leg i organisationer

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    EHealth Literacy in UK Teenagers and Young Adults: Exploration of Predictors and Factor Structure of the eHealth Literacy Scale (eHEALS).

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    BACKGROUND: Increasingly, teenagers and young adults (TYAs) seek out health information online; however, it is not clear whether they possess electronic health (eHealth) literacy, defined as "the ability to select, appraise, and utilize good quality health information from the internet." A number of factors are included in the Lily model proposed by Norman and Skinner underpinning the development of eHealth literacy. It is important to understand which elements may influence the development of eHealth literacy in young people, as the current generation will continue to "Google it" when faced with a health problem throughout their lives. OBJECTIVE: The objectives of this study are to explore potential factors influencing young people's eHealth literacy and explore the underlying constructs of the eHealth Literacy Scale (eHEALS) in a population of UK university students. METHODS: A total of 188 undergraduate psychology students from a large UK University were recruited as an opportunity sample. Of these, 88.8% (167/188) of participants were female with a mean age of 20.13 (SD 2.16) years and the majority were White British (159/188, 84.6%). Employing a cross-sectional design TYAs completed the following measures exploring eHealth literacy (eHEALS): Irrational Health Belief Scale; Newest Vital Sign (NVS), a measure of functional health literacy; Need for Cognition Scale, a preference for effortful cognitive activity; and General Self-Efficacy (GSE) Scale, exploring personal agency and confidence. The eHEALS was also subject to exploratory factor analysis (EFA), for which in addition to the total variance explained, the scree plot, eigenvalues, and factor loadings were assessed to verify the structure. RESULTS: eHEALS and GSE were significantly positively correlated (r=0.28, P<.001) and hierarchical linear modeling revealed GSE as the significant predictor of scores on the eHEALS (F1,186=16.16, P<.001, R2=0.08), accounting for 8.0% of the variance. Other notable relationships were GSE and need for cognition (NFC) were also positively correlated (r=0.33, P<.001), and NFC and irrational health beliefs were significantly negatively correlated (r=-.14, P=.03). Using Spearman correlations, GSE and NVS (rs=0.14, P=.04) and NFC and NVS (rs=0.19, P=.003) were positively correlated. An EFA revealed the scale to be stable and identified a 2-factor structure related to information acquisition and information application. CONCLUSIONS: This is the first study in the UK to explore relationships between these key variables and verify the structure of the eHEALS in a TYA population in the UK. The findings that self-efficacy has a major influence firmly consolidate its status as fundamental to the development of eHealth literacy. Future studies will explore the influence of body image and the development of eHealth literacy in more diverse TYA populations

    Core hole-electron correlation in coherently coupled molecules

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    We study the core hole-electron correlation in coherently coupled molecules by energy dispersive near edge X-ray absorption fine-structure spectroscopy. In a transient phase, which exists during the transition between two bulk arrangements, 1,4,5,8-naphthalene-tetracarboxylicacid-dianhydride multilayer films exhibit peculiar changes of the line shape and energy position of the X-ray absorption signal at the C K-edge with respect to the bulk and gas phase spectra. By a comparison to a theoretical model based on a coupling of transition dipoles, which is established for optical absorption, we demonstrate that the observed spectroscopic differences can be explained by an intermolecular delocalized core hole-electron pair. By applying this model we can furthermore quantify the coherence length of the delocalized core-exciton.Comment: 5 pages, 3 figures, Accepted Version, PRL, minor wording change

    Merging and Splitting in Cooperative Games:Some (Im-)Possibility Results

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    HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch

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    HexagDLy is a Python-library extending the PyTorch deep learning framework with convolution and pooling operations on hexagonal grids. It aims to ease the access to convolutional neural networks for applications that rely on hexagonally sampled data as, for example, commonly found in ground-based astroparticle physics experiments

    Treatment of Metastatic Colorectal Cancer: Standard of Care and Future Perspectives

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    Palliative chemotherapy for metastatic colorectal cancer has undergone substantial changes in recent years. The implementation of modern biologicals in the treatment has substantially improved overall survival up to 30 months. With the increasing number of therapeutic options, the question of optimal treatment sequence arises, which is addressed in current studies like FIRE 4 or STRATEGIC-1. Furthermore, clinical and molecular biomarkers to predict efficacy and tolerability are urgently needed. Today, the detection of activating RAS mutations is the only validated biomarker which precludes patients from anti-EGFR treatment. The detection of BRAF mutation V600E is associated with a very poor prognosis corresponding to a survival of 9-12 months. Prospective trials evaluating an optimal approach to this subgroup are still missing. First results from strategies targeting the aberrant signal transduction are promising and require further validation. Despite the advances so far, life expectancy unfortunately continues to be limited in the majority of patients with metastatic colorectal cancer. New strategies are needed to improve the prognosis. To this end, the identification of Her2/neu as a potential target and first experiences with checkpoint inhibition in patients with mismatch repair-deficient tumors are promising and also require further validation. (C) 2016 S. Karger GmbH, Freibur
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