1,721,084 research outputs found
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
Towards scalable and robust sum-product networks
No full textSum-Product Networks (SPNs) and their credal counterparts are machine learning models that combine good representational power with tractable inference. Yet they often have thousands of nodes which result in high processing times. We propose the addition of caches to the SPN nodes and show how this memoisation technique reduces inference times in a range of experiments. Moreover, we introduce class-selective SPNs, an architecture that is suited for classification tasks and enables efficient robustness computation in Credal SPNs. We also illustrate how robustness estimates relate to reliability through the accuracy of the model, and how one can explore robustness in ensemble modelling
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
Energy prediction for a plug-in hybrid electric vehicle to reduce fuel consumption
No full textLes véhicules hybrides électriques rechargeables représentent le type d’hybridation qui permet de réduire le plus la consommation de carburant et les émissions de dioxyde de carbone et de particules nocives. L’architecture du groupe moto-propulseur de ce type de véhicule inclut un moteur à combustion interne et une ou plusieurs machines électriques. Pour pouvoir fonctionner correctement, un système embarqué de gestion des flux de puissance est nécessaire. Celui-ci se charge de déterminer à chaque instant les points de fonctionnement des organes de traction. Lorsque la longueur du trajet excède l’autonomie électrique du véhicule, le moteur thermique doit impérativement être sollicité pour compenser le manque d’énergie électrique. Seule la connaissance précise du trajet dans son intégralité permet d’optimiser la consommation de carburant. Une telle précision est impossible à obtenir en conditions réelles. La démocratisation des systèmes de navigation embarqués dans les véhicules permet cependant d’avoir une description moyenne des conditions de roulage sur le trajet à effectuer. Dans cette thèse, un système de gestion des énergies du véhicule hybride rechargeable a été développé pour piloter le système de gestion des flux de puissance. Il exploite les données de la route fournies par le système de navigation ainsi que les données du véhicule pour calculer une gestion efficace de l’énergie de la batterie sur l’intégralité du trajet, permettant de réduire la consommation globale de carburant. Pour ce faire, un problème d’optimisation a été formulé sur la base d’une modélisation simplifiée de la consommation énergétique pour chaque tronçon de la route. Celui-ci est résolu, en temps réel, à l’aide d’un algorithme d’optimisation A* spécifique. Ces travaux montrent qu’il est possible d’approcher la consommation de carburant minimale théorique à l’aide des données disponibles dans le véhicule.Plug-in hybrid electric vehicles represent the hybridization type that has the greatest potential in terms of both fuel consumption, carbon dioxide and particle emission reduction. The powertrain architecture of such vehicles include an internal combustion engine as well as one or several electrical machines. A power management system is required to operate the powertrain. It computes at each instant the operating points of the power conversion organs.When the trip length exceeds the all-electric range of the vehicle, the engine must be used to compensate the lack of electrical energy. Optimal fuel consumption can only be achieved if the entire travel is perfectly know. Such precision is impossible to get in real driving conditions. The availability of onboard navigation systems in vehicles can meanwhile provide a description of average driving conditions along the planned travel. In this thesis, an energy management system for plug-in hybrid vehicles has been developed to drive the power management system. It use road data provided by the navigation system, and vehicle data to compute an efficient management of the battery’s electrical resources over the entire travel, so as to reduce the global fuel consumption. For this purpose, an optimization problem has been formulated based on a simplified model of vehicle’s energy consumption for each road segment. This problem is solved, in real time, by a specifically designed A* algorithm. This work proves that it is possible to achieve a near-optimal fuel economy for a plug-in hybrid vehicle with the data provided by the vehicle and the navigation system
Scalable Uncertainty Management - 13th International Conference (SUM 2019), Compiegne, France, December 16-18, 2019, Proceedings
No full textkoamabayili/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
- …
