1,721,148 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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    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

    Predicting the mechanical behaviour of carbon fibre reinforced silicon carbide with interlaminar manufacturing defects - Determination of fracture mechanical input data and FE-modelling

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    A finite element approach based on experimental material data is presented in order to compute the mechanical reliability of carbon fibre reinforced silicon carbide, C/C-SiC, taking interlaminar manufacturing defects into account. The approach is evaluated on sample scale by modelling the flexural behaviour of C/C-SiC samples containing delaminations after liquid silicon infiltration (LSI) processing. The nondestructive evaluation methods, determination of fracture mechanical input data and the numerical cohesive zone approach are described. The numerical predictions of flexural stiffness and strength of samples with and without interlaminar defects were validated by bending tests of the respective samples. The difference between tensile and bending behaviour is explained by FE modelling for this group of CMC materials

    Numerical modeling of a 2D woven composite with defect at the mesoscopic scale

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    Ce travail de thèse porte sur la modélisation multi-échelle des matériaux composites à renfort tissé pour prédire leur comportement mécanique. L'objectif est d'intégrer les variations dues aux défauts du renfort à l'échelle mésoscopique afin d'évaluer leur impact sur les performances du composite. La première étape consiste à extraire automatiquement les caractéristiques géométriques du matériau à partir de données de tomographie à rayons X pour reconstruire un maillage fidèle. Deux méthodes de segmentation sont proposées : une approche de traitement d'images par filtrage directionnel et une autre par apprentissage automatique (deep learning) nécessitant une annotation manuelle partielle. Le suivi 3D automatisé des torons permet ensuite d'identifier les zones de contact entre eux et de générer une voxelisation précise de la géométrie, avec ou sans défaut. Les dernières étapes de lissage et déraffinement du maillage permettent de passer d’un maillage voxelisé de plusieurs centaines de millions d’éléments à un maillage d’une dizaine de millions de tétraèdres adapté pour les calculs par éléments finis. La validité de la géométrie obtenue a été confirmée par comparaison avec des mesures de caractéristiques géométriques du matériau. La simulation du comportement mécanique d'une cellule représentative, avec et sans défaut, a montré que si le défaut n'affecte pas la tenue en traction, il influence localement les champs de contrainte. Les résultats numériques ont été confirmés expérimentalement, démontrant l'impact local des défauts sur les propriétés mécaniques. Cette étude propose ainsi une chaîne complète de modélisation prenant en compte les défauts géométriques à l’échelle mésoscopique.This thesis focuses on multi-scale modeling of woven composite materials to predict their mechanical behavior. The objective is to integrate variations due to defects in the reinforcement at the mesoscale to assess their impact on the composite's performance. The first step involves automatically extracting the geometric characteristics of the material from X-ray tomography data to accurately reconstruct the mesh. Two segmentation methods are proposed: an image processing approach using directional filtering, and another based on deep learning, which requires partial manual annotation. The automated 3D tracking of the yarns then allows for the identification of contact areas between them and the generation of a precise voxelization of the geometry, with or without defects. The final steps of mesh smoothing and coarsening reduce a voxelized mesh of several hundred million elements to a mesh of about ten million tetrahedrons, optimized for finite element analysis. The validity of the obtained geometry was confirmed through comparison with measured geometric characteristics of the material. The simulation of the mechanical behavior of a representative cell, with and without defects, showed that while the defect does not affect tensile strength, it does locally influence stress fields. These numerical results were experimentally validated, demonstrating the local impact of defects on mechanical properties. This study thus presents a comprehensive modeling framework that accounts for geometric defects at the mesoscale
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