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    The contribution of fast-FLAIR MRI for lesion detection in the brain of patients with systemic autoimmune diseases

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    Fast fluid-attenuated inversion recovery (fFLAIR) is more sensitive that conventional or fast spin echo T2-weighted magnetic resonance imaging (MRI) for detecting lesions in the brain of patients with ischemic, inflammatory, or demyelinating diseases of the CNS. We investigated whether the use of fFLAIR also increases the sensitivity of brain MRI assessment in patients with systemic autoimmune disorders. Turbo spin echo (TSE) dual-echo and fFLAIR scans of the brain were obtained from patients affected by systemic lupus erythematosus (SLE) with (NSLE, n = 9) and without clinical CNS involvement (n = 15), Behçet disease (n = 5), Wegener granulomatosis (n = 9), and antiphospholipid antibody syndrome (n = 6). Brain hyperintense lesions were counted and classified according to their size and their location by two observers by consensual agreement. The total lesion volume was measured using a semiautomated technique for lesion segmentation on both TSE and fFLAIR scans. The imaging modalities showed brain hyperintense lesions in all 9 SLE patients with CNS involvement, 5 of 15 SLE patients without CNS involvement, 5 of 9 patients with Wegener granulomatosis, 1 of 5 with Behçet disease, and 3 of 6 with antiphospholipid antibody syndrome. A total of 342 lesions were seen on both sequences; 88 were seen only on TSE and 54 only on fFLAIR scans. The average number of brain lesions per scan was higher on TSE than on fFLAIR, since significantly more discrete (P<0.002) and small (P = 0.004) lesions were seen on TSE than on fFLAIR. The median total lesion volume, however, was similar on TSE and fFLAIR. Our study indicates that the use of fFLAIR does not improve the sensitivity of fast dual-echo MRI for detecting brain abnormalities in patients with systemic autoimmune disorders

    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
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