1,722,336 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

    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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    Machine Learning for a search of Heavy Neutral Leptons with taus at the final state with CMS

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    This report presents a project of TPIVb at LPHE in which I used deep neural networks (DNN) to distinguish heavy neutral leptons decays with 3 leptons in the final state from various types of background. At least one of the 3 leptons is required to be a hadronic tau. The events used to train the DNN were created through a Monte Carlo simulation. Several kinematic variables were created out of variables that can typically be extracted from the quantities reconstructed by CMS, to be used as features for the DNN. A feature selection was done to determine which of these features plays a significant role in the DNN's ability to distinguish signal versus background. Finally, the performance of the DNN was evaluated in the different signal points.LPHE-L

    Optimisation of a multivariate analysis technique for the ttbar background rejection in the search for Higgs boson pair production in bbtautau decay channel with the CMS experiment at the LHC

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    This thesis reports the optimisation of a multivariate analysis technique for the search for Higgs boson pair (HH) production. HH production gives an access to the Higgs boson trilinear self-coupling and is sensitive to the presence of physics beyond the Standard Model. Both resonant and nonresonant production mechanisms are investigated exploring events with one Higgs boson decaying into two b quarks and the other decaying into two tau leptons (HH->b bbar tau+ tau-). This process is studied through the examination of the three decay modes of the tau+ tau- system, with one or two tau decaying into hadrons in the final state. The search uses proton-proton collision data collected at centre of mass of 13TeV with the CMS experiment at the CERN LHC, corresponding to an integrated luminosity of 35.9 fb-1. The main effort has been devoted to design and develop a multivariate technique to separate the signal from the ttbar background. This technique has been applied for the first time to all the three final states and has proved to be an essential element to enhance the sensitivity. No evidence for the presence of a signal has been found and results are found to be consistent, within uncertainties, with the standard model background predictions. Upper limits are set at 95% confidence level on resonant and nonresonant HH production. The expected and observed upper limits are about 15 and 10 time the SM prediction, respectively, corresponding to the most stringent limits set so far at the LHC

    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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