1,721,263 research outputs found

    Exploring the Critical Success Factors in Social and Health Care Information Systems Project Procurement

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    A welfare reform involving the mixing of social and health services is being introduced by the Finnish government. Several factors have been identified for this shift, the most relevant of which is that many information systems are not interoperable and data-related problems have been identified. Management and isolated offers of service. Digitalizing to solve these issues is part of the government’s policy. This paper outlines the change landscape and explores the architectural options of the proposed digitalisation process and crucial success factors. The Undertaking The design is applied to the largest county, which consists of over 1,900 information systems related to social support and health care. The goal is to design a single joint framework with no more than 300 supporting information systems, resulting in savings of EUR 3 billion. Six key scientific conclusions are presented as the results.peerReviewe

    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

    The genetic architecture of hypertrophic cardiomyopathy

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    Hypertrophic cardiomyopathy (HCM) is the most common genetic heart disorder, affecting at least 1 in 500 individuals, and a leading cause of sudden death. Genetic testing for rare, causal, genetic variants in sarcomere genes is the standard of care and conducted at scale. However, more than half of HCM patients do not carry identifiable pathogenic variants and, in those that do, there is substantial variation in penetrance and disease expression. Here, the genetic architecture of HCM is further evaluated, under a central hypothesis that the genetic aetiology of HCM extends beyond known rare variant contributions. Through a series of case-control analyses monogenic, oligogenic and polygenic models of disease were assessed. Burden testing analyses support prior knowledge regarding the monogenic basis to HCM. Quantitative analyses directed towards quantifying the penetrance and expressivity of disease-causing HCM variants were largely underpowered. Similarly, systematic evaluation for oligogenicity was underpowered. However, haplotype analysis of a candidate variant (MYBPC325) presumed to be of importance to oligogenicity revealed synthetic association with a rare pathogenic variant (MYBPC3 c.1224-52G>A), quelling this specific oligogenic hypothesis. Polygenicity was evaluated through genome wide association analyses. The additive effects of common variants explained 34.0±2.4% of phenotypic variance in sarcomere-negative HCM, and 15.8±3.8% in sarcomere-positive HCM. Meta-analysis revealed 28 loci (13 independent genome-wide significant variants (p-value < 5×10−8) and 16 <5% local false discovery rate variants (p-value < 1.82×10−6)). A genetic risk score (GRS) assessed the aggregate impact of these independent common variants: HCM risk was halved for individuals in the lowest quintile and more than doubled for those in the highest quintile. Collectively, these analyses reject the null hypothesis that the genetic aetiology of HCM is restricted to known rare variant contributions and extend understanding regarding the genetic architecture of HCM

    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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    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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