1,720,954 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Intelligent energy-aware task scheduler for HPC systems
Get PDFIn recent years, energy consumption has become a limiting factor in the evolution of highperformance computing (HPC) clusters in terms of environmental concern and maintenance cost. As computing power increases and workloads become more intensive owing to the rising popularity of artificial intelligence and machine learning tasks, this problem is not expected to recede in the near future. Consequently, numerous techniques are being researched as a means of tackling energy consumption in HPC systems, including energy-aware job scheduling. Since this is known to be an NP-complete problem, heuristic scheduling algorithms and, more recently, artificial intelligence have been the main focus of the investigation carried out in this area.
Job scheduling approaches to reducing energy consumption have traditionally resorted to time-related metrics as their main optimization target, seeing that execution time and energy consumption are closely related. However, difficulties arise in the face of issues such as memory contention and heterogeneous resources, giving rise to a need for more specific solutions.
This work aims to design an intelligent job scheduler for HPC systems trained using deep reinforcement learning techniques that focuses on reducing energy consumption explicitly, by leveraging the information provided by the power consumption specifications of the resources of a heterogeneous cluster, and by optimizing energy-related metrics directly instead of relying on time measurements.En los últimos años, el consumo energético se ha convertido en un factor limitante en el desarrollo y evolución de los clusters de computación de alto rendimiento (HPC) en términos de su impacto ambiental y coste de mantenimiento. A medida que la potencia de cómputo de estos sistemas aumenta y la carga de trabajo a la que están sometidos se vuelve más intensa debido a la creciente popularidad de las tareas relacionadas con la inteligencia artificial y el aprendizaje automático, este problema no va a remitir en un futuro cercano. Como consecuencia de esta situación, diversas técnicas están siendo investigadas con el objetivo de reducir el consumo energético en los sistemas HPC, entre las cuales destaca la planificación de tareas consciente de la energía. Puesto que este es un problema NP-completo, las principales vertientes de investigación en esta área se han centrado en algoritmos heurísticos de planificación y, más recientemente, modelos de inteligencia artificial.
El campo de la planificación de tareas en sistemas HPC como medio para reducir el consumo energético tradicionalmente se ha centrado en la optmización de métricas relacionadas con el tiempo, dada la estrecha relación existente entre estas y el consumo energético. Sin embargo, factores como la contención de memoria y la consideración de recursos heterogéneos derivan en una mayor complejidad que requiere el desarrollo de soluciones más específicas.
Este trabajo pretende diseñar un planificador inteligente para sistemas HPC entrenado mediante técnicas de aprendizaje reforzado profundo que se centre explícitamente en reducir el consumo de energía haciendo uso de la información proporcionada por las especificaciones de consumo de potencia de los recursos de un clúster HPC heterogéneo, y optimizando métricas relacionadas con la energía en lugar de con el tiempo.Grado en Ingeniería Informátic
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Get PDFWe 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
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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