1,720,968 research outputs found

    Women, children and drug use.

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    This chapter presents a review of the Irish literature on women, children and drug use. Analysis of the National Drug Treatment Reporting System, which provides statistics on treated drug misuse, indicates that 30% of drug users presenting for treatment were female. Other sources of data used were a study of drug users attending a Dublin needle exchange programme and Department of Health and Children statistics on incidence of HIV, which provided epidemiological and health information. Two surveys of the prison population suggest that opiate use is a serious problem among women in the Irish prison system. The available research literature on opiate addiction and pregnancy and on the issue of how children are affected by parental drug dependence in Ireland is reviewed. The author argues that the available indicators all suggest that female drug users have particular needs that require to be taken into account in service planning and provision, and that more research effort is needed into the issues surrounding drug use by Irish women. She found that research in the area has focused almost exclusively on pregnant opiate addicts. Consequently, there is a lack of information on how drug use affects women in general and how parental drug use impacts on children

    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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    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

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    Generative AI and Data Spaces:White Paper

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    The emergence of Generative AI (GenAI), driven by advanced foundation models, presents significant opportunities for businesses and society across Europe. This potential is amplified through integration with European data spaces—interoperable frameworks facilitating ethical, secure, and compliant data sharing. This synergy promises substantial benefits, including unlocking industrial, commercial, and personal data value, fostering new business models, and ensuring regulatory compliance and fairness across AI value chains.This whitepaper, developed by the Data Spaces Support Centre (DSSC) alongside the Strategic Stakeholder Forum (SSF) and other European initiatives, examines the role of European data spaces in supporting trustworthy GenAI development. It highlights key challenges—such as data quality, interoperability, infrastructure needs, ethical considerations, and environmental impacts—that must be addressed to fully harness GenAI's capabilities.Data spaces already provide secure, high-quality, domain-specific datasets essential for GenAI, driving innovation, collaboration, and compliance with EU regulations. Yet, substantial progress is needed to enhance interoperability, simplicity, and representativity. The whitepaper outlines eight targeted recommendations for stakeholders, policymakers, industry leaders, and GenAI providers to advance the strategic alignment of data spaces and GenAI initiatives, including case studies such as the AI Factories. A structured roadmap is proposed to maximize these synergies and sustainably propel GenAI adoption in Europe

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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