108,451 research outputs found

    “We are not free, admit it... but we cling onto tomorrow”:Imagination as a Tool for Coping in Disempowering Situations

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    This chapter discusses the role of imagination as a higher mental function that facilitates coping in disempowering social settings. It builds on Carlos Cornejo’s (this volume) account on the cultural history of imagination and the development of the concept from that of delusion to that of reason and intellect. The focus will be on how imagination is essential to humans’ adaptation through the life course, looking at the capacity to temporarily disengage from what is and imagine what might be and its implication on coping and resilience. The topic will be discussed using empirical data from the social context of Egypt post 2011 revolution looking at how imagination is expressed in letters written by political prisoners

    The application of the Conners' Rating Scales to a Sudanese sample: an analysis of parents' and teachers' ratings of childhood behaviour problems

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    The aim of the current study was to assess the equivalence of Sudanese and North American versions of the Conners' Rating Scales. The reliability, internal consistency, factor score intercorrelation, levels of sex differences and prevalence of symptoms found with Sudanese Arabic adaptations of the parent and teacher scales were compared with previously reported data from North American studies. The scales were translated into Sudanese Arabic, backtranslated and piloted among teachers and parents. These scales were administered to parents and teachers from a stratified normative sample of 300 families with children between 6 and 10 years of age. Both versions of the questionnaire displayed high levels of reliability and satisfactory internal consistency. The associations of ratings by Sudanese adults differed from those typically seen in North American samples in a number of ways. There was little evidence of the existence of broadband distinctions between internalizing and externalizing problems, practically no sex differences, only nonspecific associations between parent and teacher ratings and, most strikingly, very low levels of behaviour problems reported. The results provide evidence of the potential utility of the Sudanese versions of the Conners' Rating Scales while raising important questions about cultural differences in the structure and associations of behaviour problems and the appropriateness of applying North American norms to other cultural groups. Future research should look to supplement studies using adaptations of scales developed in Western settings with more open-ended questions about problems of specific significance to Sudanese parents

    Seeing Matters: A psychology of the image and its politics

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    In Seeing Matters, Sarah Awad offers a psychological exploration of how images shape our actions, perceptions, and identities. She examines how we use images to symbolically and materially influence the world, others, and ourselves, while also revealing how the images around us shape our thoughts, emotions, and memories. Awad investigates the social and political dynamics of visual culture, questioning who is seen, how they are portrayed, and why these representations matter. By using clear language and real-world examples, she makes complex theories accessible to readers, offering diverse methodological approaches for analyzing a wide range of image genres – such as graffiti, digital memes, photojournalism, and caricatures. This comprehensive analysis addresses the politics of visual representation, making the book an essential guide for researchers across disciplines, while providing valuable insights into how images impact society and our everyday lives

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    A Brief Overview of Modeling Estimation of State of Health for an Electric Vehicle’s Li-Ion Batteries

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    The current literature highlights several state-of-health (SOH) prediction models for lithium-ion (Li-ion) batteries used in electric vehicles (EVs). However, a thorough comparative analysis remains absent. This study addresses this gap by conducting a comprehensive evaluation of SOH prediction methods for Li-ion batteries in EV applications, encompassing direct measurement techniques, physics-based approaches, and data-driven methodologies. The analysis identifies the strengths, limitations, and applicability of each modeling method. Additionally, this study explores key indicators of SOH, influential variables affecting battery health, and publicly available datasets that support SOH modeling. By synthesizing these insights, the research provides recommendations for improving existing models and outlines prospective directions for enhancing the accuracy and efficiency of SOH estimation in EV applications. This work aims to contribute to the development of robust, accurate, and practical SOH models, thereby advancing the reliability and sustainability of Li-ion battery systems in the growing EV industry
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