1,721,039 research outputs found
2.3. Postures et chimères, ou la philosophie dans la salle de bain
No full textPostures and chimereae, or philosophy in a bathroom.
A plea for " representations " in neurosciences exemplified by an analysis of postural control and based on the specificity of neurofunctional structures as produced by the brain independently of represented physical variables.Illustré par l'analyse du contrôle postural dans la vie quotidienne, un plaidoyer pour «les représentations » en neurosciences fondé sur la spécificité des architectures neuro-fonctionnelles, en tant qu'élaborations du cerveau autonomes par rapport aux grandeurs physiques représentées.Vidal Pierre Paul, Droulez Jacques. 2.3. Postures et chimères, ou la philosophie dans la salle de bain. In: Intellectica. Revue de l'Association pour la Recherche Cognitive, n°36-37, 2003/1-2. Repenser le corps l'action et la cognition avec les neurosciences, sous la direction de Jean-Luc Petit. pp. 161-180
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Interactive scientific visualization of high-volume, uncertain data : for a perceptual approach
No full textLes études scientifiques et d'ingénierie actuelles font de plus en plus souvent appel à des techniques de simulation numérique pour étudier des phénomènes physiques complexes. La visualisation du résultat de ces simulations sur leur support spatial, souvent nécessaire à leur bonne compréhension, demande la mise en place d'outils adaptés, permettant une restitution fidèle et complète de l'information présente dans un jeu de données. Une telle visualisation doit donc prendre en compte les informations disponibles sur la qualité du jeu de données et l'incertitude présente. Cette thèse a pour but d'améliorer les méthodes de visualisation des champs de données scalaires de façon à intégrer une telle information d'incertitude. Les travaux présentés adoptent une approche perceptive, et utilisent les méthodes expérimentales et les connaissances préalables obtenues par la recherche sur la perception visuelle pour proposer, étudier et finalement mettre en oeuvre des nouvelles techniques de visualisation. Une revue de l'état de l'art sur la visualisation de données incertaines nous fait envisager l'utilisation d'un bruit procédural animé comme primitive pour la représentation de l'incertitude. Une expérience de psychophysique nous permet d'évaluer des seuils de sensibilité au contraste pour des stimuli de luminance générés par l'algorithme de bruit de Perlin, et de déterminer ainsi dans quelles conditions ces stimuli seront perçus. Ces résultats sont validés et étendus par l'utilisation d'un modèle computationnel de sensibilité au contraste, que nous avons réimplémenté et exécuté sur nos stimuli. Les informations obtenues nous permettent de proposer une technique de visualisation des données scalaires incertaines utilisant un bruit procédural animé et des échelles de couleur, intuitive et efficace même sur des géométries tridimensionnelles complexes. Cette technique est appliquée à deux jeux de données industriels, et présentée à des utilisateurs experts. Les commentaires de ces utilisateurs confirment l'efficacité et l'intérêt de notre technique et nous permettent de lui apporter quelques améliorations, ainsi que d'envisager des axes de recherche pour des travaux futurs.Current scientific and engineering works make an increasingly frequent use of numerical simulation techniques to study complex physical phenomenons. Visualizing these simulations' results on their geometric structure is often necessary in order to understand and analyze the simulated system. Such a visualization requires specific software tools in order to achieve a comprehensive and accurate depiction of the information present in the dataset. This includes taking into account the available information about dataset quality and data uncertainty. The goal of this thesis is to improve the visualization techniques for scalar data fields in order to integrate uncertainty information to the result. Our work follows a perceptual approach, using knowledge and experimental methods from visual perception research to put forward, study and implement new visualization techniques. A review of the state of the art on uncertainty visualization make us suggest to use an animated procedural noise as a visual primitive to show uncertainty. We set up a psychophysics experiment to evaluate contrast sensitivity thresholds for luminance stimuli generated using Perlin's noise algorithm, and therefore understand under which conditions such noise patterns can be perceived. These results are validated and extended by using a computational model of contrast sensitiviy, which we reimplemented and ran on our stimuli. The resulting information allow us to put forward a new technique for visualizing uncertain scalar data using an animated procedural noise and color maps. The resulting visualization is intuitive and efficient even for datasets with a complex tridimensional geometry. We apply this new technique to two industrial datasets, and demonstrate it to expert users. Their feedback uphold the usabiliy and efficiency of our technique, and allows us to add a few more improvements and to orient our future work
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