1,720,967 research outputs found

    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

    Adherence to the WHO guidelines of newspaper-reporting on suicides in Pakistan: a content analysis

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    There is a lack of evidence regarding the rate of adherence to the World Health Organization (WHO) media guidelines of vernacular newspapers reporting on suicides in Pakistan. Also, the relevance of this report is based on the lack of official data regarding the number of suicides across the country. The aim of this study was to explore the rate of adherence to the WHO guidelines of two popular newspapers in reporting on suicides in Pakistan. We daily analysed the online version of two popular newspapers in Pakistan, the daily Jeejal (in Sindhi) and daily Jang (in Urdu), from 1 August 2021 to 31 July 2022; we performed a content analysis of news reporting on national suicides and evaluated their rate of adherence to the WHO media guidelines. One hundred and seventy-three reports of suicides were identified and analysed; 84% of them reported the names of victims, 70% reported their age, and 46% included information regarding their occupation. Characteristics of suicide methods were reported in 87% of reports, reasons for suicide in 66%, as well as locations in 87%. In general, 84% of newspapers reported incomplete information regarding suicide prevention and help-seeking, so we may conclude they were not fully adherent to the WHO recommendations. This study indicates that national vernacular newspapers may improve their reporting on suicides and should revise their policy in order to be adherent to the WHO guidelines. Also, better and responsible reporting may provide an accurate epidemiological source regarding suicide where official data are missing at the national level

    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

    Edge-Based Local and Global Energy Active Contour Model Driven by Signed Pressure Force for Image Segmentation

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    Image segmentation is a tedious task that suffers from constraints, such as blurred or weak edges and intensity inhomogeneity. Active contour models (ACMs), including edge-and region-based methods, are extensively used for image segmentation. Each of these methods has its pros and cons that affect image-segmentation accuracy and CPU processing time. This study combines local and global region-based fitting energies and uses statistical image information to drag contours toward object boundaries, thus overcoming image inhomogeneity. The bias field, the region affected by image artifacts, is calculated and added with the local fitting energy model to capture inhomogeneous object boundaries. Furthermore, the combined local and global statistical information is appended with the edge-indicator function to rapidly move the contour over objects with strong edges, thereby avoiding boundary leakage. A region-based length term is driven by the signed pressure force (SPF) function that evolves the curve on either the outer or inner side of the object, depending on its sign. The SPF function contributes to achieving a smoother version of energy minimization over gradient descent flow. The proposed ACM is applied to multiple synthetically generated, and medical images, together with online available public databases: the PH2 database, the skin-cancer-mnist-ham10000 THUS10000 database, and the specific images from PascalVOC2007 database. All the experiments confirm the better segmentation accuracy and improved time potency of the proposed methodology over previous level set-based approaches

    Segmentation of Intensity-Corrupted Medical Images Using Adaptive Weight-Based Hybrid Active Contours

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    Segmentation accuracy is an important criterion for evaluating the performance of segmentation techniques used to extract objects of interest from images, such as the active contour model. However, segmentation accuracy can be affected by image artifacts such as intensity inhomogeneity, which makes it difficult to extract objects with inhomogeneous intensities. To address this issue, this paper proposes a hybrid region-based active contour model for the segmentation of inhomogeneous images. The proposed hybrid energy functional combines local and global intensity functions; an incorporated weight function is parameterized based on local image contrast. The inclusion of this weight function smoothens the contours at different intensity level boundaries, thereby yielding improved segmentation. The weight function suppresses false contour evolution and also regularizes object boundaries. Compared with other state-of-the-art methods, the proposed approach achieves superior results over synthetic and real images. Based on a quantitative analysis over the mini-MIAS and PH2 databases, the superiority of the proposed model in terms of segmentation accuracy, as compared with the ground truths, was confirmed. Furthermore, when using the proposed model, the processing time for image segmentation is lower than those when using other methods

    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

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