1,720,995 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
Guided Reinforcement Learning for dynamic control
No full textAutonomous mobile robots have the potential to transform industries by performing various tasks, such as material handling and transportation. As technology advances towards dynamic robots capable of interacting with their environments, controlling these systems becomes increasingly challenging. Learning-based control offers a promising approach, enabling robots to adapt to new tasks based on their experiences in dynamic environments. Such adaptability is crucial for success in real-world applications.
This dissertation explores Guided Reinforcement Learning (RL) methodologies aimed at addressing common challenges such as training speed, policy performance, and the transfer from simulation to reality, all of which are essential for deploying robots in real-world scenarios. The first part of this thesis introduces a novel taxonomy for Guided RL that systematically incorporates external knowledge sources, including expert demonstrations and prior experiences. This approach enhances the efficiency and effectiveness of the training process. The dissertation also includes a comprehensive survey of Guided RL methods and practical guidelines for their application in various robotics contexts, allowing researchers and practitioners to choose the most suitable strategies for their specific needs. The second part includes an extensive case study on learning-based control for evoBOT, a dynamic two-wheeled robot developed by the Fraunhofer Institute for Material Flow and Logistics IML. This study illustrates how Guided RL techniques can significantly improve learning-based control, resulting in rapid training, robustness against disturbances, and successful transfer of trained policies to the physical robot. Lastly, the thesis introduces a generalized action space for robot control, providing a formulation that operates directly at the torque level. Benchmarking evaluates the impact of different action spaces on training efficiency and policy performance across multiple robotic platforms, offering valuable insights into optimizing control strategies.
Overall, this work contributes to the advancement of robot learning, offering valuable insights and methodologies for effectively training and implementing learning-based control strategies in complex, dynamic robotic systems. Therefore, this work lays the groundwork for improving the capabilities of autonomous robots in real-world applications, promoting greater integration of robotics into everyday life. Key results of this work, including publications, the robot simulation model, and the training code, are available for open access to encourage further research in this field.Autonome mobile Roboter haben das Potenzial die Industrie zu transformieren, indem sie verschiedene Aufgaben wie Materialhandhabung und Transport übernehmen. Mit dem technologischen Fortschritt hin zu dynamischen Robotern, die mit ihrer Umgebung interagieren können, wird die Steuerung dieser Systeme immer komplexer. Lernbasierte Regelung bietet einen vielversprechenden Ansatz, der es den Robotern ermöglicht, sich auf der Grundlage ihrer Erfahrungen in dynamischen Umgebungen an neue Aufgaben anzupassen. Eine solche Anpassungsfähigkeit ist entscheidend für den Erfolg in realen Anwendungen.
Diese Dissertation bietet eine umfassende Untersuchung von Methoden des geführten Verstärkungslernens (Guided Reinforcement Learning, RL), welche darauf abzielen die Trainingsgeschwindigkeit und Performance zu verbessern, sowie die Übertragbarkeit der lernbasierten Regler von der Simulation auf die realen Roboter zu ermöglichen. Der erste Teil dieser Arbeit stellt eine neuartige Taxonomie für Guided RL vor, die systematisch externe Wissensquellen einbezieht. Dieser Ansatz steigert die Effizienz und Effektivität des Trainingsprozesses. Die Dissertation enthält auch eine umfassende Studie zu Guided RL Methoden sowie praktische Richtlinien für deren Anwendung in verschiedenen Kontexten der Robotik, die es Forschern und Anwendern ermöglichen, die am besten geeigneten Strategien für ihre individuellen Anforderungen auszuwählen. Der zweite Teil der Arbeit enthält eine umfassende Fallstudie zur lernbasierten Regelung von evoBOT, einem dynamischen zweirädrigen Roboter, der vom Fraunhofer-Institut für Materialfluss und Logistik IML entwickelt wurde. Diese Studie veranschaulicht, wie Guided-RL-Techniken die gelernten Regler erheblich verbessern können, was zu schnellerem Training, Robustheit gegenüber Störungen und der erfolgreichen Übertragung der trainierten Regler auf den physischen Roboter führt. Schließlich wird im dritten Teil dieser Arbeit ein verallgemeinerter Aktionsraum für die Robotersteuerung eingeführt, der eine Formulierung bietet, die direkt auf Drehmomentebene arbeitet. Dieser Aspekt der Arbeit bewertet die Auswirkungen verschiedener Aktionsräume auf die Performance gelernter Regler für verschiedene Roboterplattformen und bietet wertvolle Einblicke in die Optimierung von Regelungsstrategien.
Insgesamt leistet diese Arbeit einen Beitrag zur Weiterentwicklung des Roboterlernens und bietet wertvolle Einblicke und Methoden für ein effektives Training und die Implementierung lernbasierter Regelstrategien in komplexen, dynamischen Robotern. Somit legt diese Arbeit den Grundstein für die Verbesserung der Fähigkeiten autonomer Roboter in realen Anwendungen und das tägliche Leben. Zentrale Ergebnisse dieser Arbeit, einschließlich der Veröffentlichungen, des Simulationsmodells und des Trainingscodes, sind frei zugänglich, um die weitere Forschung auf diesem Gebiet zu fördern
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
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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