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
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
Enhancing Product Quality in the Food Industry through Predictive Quality and Operational data capture
No full textDie Herstellung sicherer und qualitativ hochwertiger Lebensmittel ist für Produzenten eine alltägliche Herausforderung. Gleichzeitig werden Produktionsprozesse komplexer, und Verbraucherinnen und Verbraucher fordern nicht nur fehlerfreie Produkte, sondern auch mehr Transparenz. Aus diesem Grund setzen Unternehmen zunehmend auf datenbasierte Ansätze, um die Qualität nicht nur zu kontrollieren, sondern aktiv zu steuern.Diese Masterarbeit beschäftigt sich mit der Entwicklung eines Prototyps, der es ermöglicht, Qualitätskontrollen nicht starr, sondern auf Basis aktueller Risikodaten durchzuführen. Anstatt zufällige Stichproben zu ziehen, berücksichtigt das System Reklamationen, Prozessdaten und historische Prüfergebnisse, um gezielt die Artikel zu identifizieren, bei denen die Wahrscheinlichkeit eines Problems erhöht ist.Ein solcher Ansatz kann nicht nur die Produktsicherheit erhöhen, sondern auch Ressourcen schonen. Durch frühzeitiges Erkennen von Problemen lassen sich Rückrufe vermeiden und damit auch unnötiger Material- und Energieverbrauch. Damit leistet der Ansatz von „Predictive Quality“ nicht nur einen Beitrag zur Qualitätssicherung, sondern auch zur Nachhaltigkeit in der Lebensmittelproduktion.The food processing industry is constantly challenged to produce with the highest possible quality standards. As global supply chains become more complex and consumers expect higher safety and product quality, companies are increasingly turning to digital innovation. Predictive Quality and operational data collection form the basis of such advancements. These tools allow manufacturers to identify and mitigate quality issues before they escalate into production disruptions or costly recalls [1], [4]. In recent years, a series of major recalls in the food industry has highlighted the urgent need for preventive measures. Recalls not only lead to substantial financial losses but also damage brand reputation and undermine consumer confidence. To address these risks, companies are increasingly relying on predictive approaches [2] and investing in comprehensive data collection infrastructures to support long-term quality optimization [4], [9]. Further, if we can reduce recalls by improving QM (Quality Management), this project has the potential to help cut waste usage of resources, and CO₂ emissions. Recall of products means that waste was not only the products themselves but also the products under production wasted resources (raw materials and energy) [9]. Reducing recalls seen as a potential aid to sustainability in driving up quality standards and lower chances for recalls, companies not only improve their sustainability story but they also diminish their ecological footprint [2], [9]. Furthermore, by improving quality management (QM) and reducing product recalls, this project has the potential to contribute to sustainability goals. Product recalls not only result in wasted end products, but also imply that all associated resources—such as raw materials, energy, and packaging—were used in vain [9]. By minimizing the occurrence of recalls through better riskbased quality control, companies can significantly reduce waste, optimize resource usage, and lower their CO₂ emissions. In this way, predictive quality initiatives do not merely enhance compliance and product safety, but also support broader environmental and sustainability objectives [2], [6], [9]. Product quality in food manufacturing is usually guaranteed by fixed sampling plans and post batch assessments. These methodologies however are progressively inadequate in dynamic manufacturing systems where sub-process variation and customer desires force faster yet riskbased quality control [1], [3]. Design and implementation of a predictive sampling prototype for dynamically selecting products for inspection in an operational environment [3]. This thesis describes the design and implementation of an approach to product acceptance decisions which implies choosing dynamically which products to measure based on operational data [1], [4].by: Alexander FraislMasterarbeit Fachhochschule Technikum Wien 202
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