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    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

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    We 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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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

    Towards situation-aware driving style adaptation

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    With advancing technological capabilities, the focus of future driver assistance systems and autonomous vehicles is shifting from mere feasibility to implementing acceptable and comfortable driving characteristics for future driver assistance systems and autonomous vehicles. This dissertation explores the heterogeneity of human driving behavior, particularly emphasizing lateral driving behavior and individual driving style preferences on rural roads, fostering research toward more personalized driver assistance systems and autonomous vehicles. A controlled, real-world vehicle study (N = 62) was conducted to identify and define key indicators of driving behavior, analyze sociodemographic dependencies and assess the alignment between subjective self-assessments and objective data. Correlation analyses revealed modest but significant associations between participants’ self-reported driving styles and objective acceleration and jerk statistics. Notably, an in-depth analysis of lateral driving behavior highlighted substantial inter-driver variability. Despite growing interest in adaptive driving styles, comprehensive research on the influence of contextual factors, especially adverse weather conditions, and oncoming traffic, on automated driving functions remains limited. To address this gap, a driving simulator study (N = 42) was carried out to examine lateral driving style preferences for autonomous vehicles under varying weather and traffic conditions. Statistical analyses demonstrated a prevalent preference for passive driving styles, with environmental factors significantly affecting perceived comfort during autonomous rides. To overcome the limitations of existing driving style models in integrating environmental information, this work introduces a situation-aware driving style adaptation method that combines deep learning and statistical approaches. By employing visual feature encoders pretrained on fleet data, the proposed method captures a structured representation of the driving environment and learns a mapping from situational context to driving behavior, enabling adaptation to individual driving style preferences. The developed models significantly outperform baseline approaches and form coherent situation clusters, enhancing the adaptability of automated driving systems. These findings contribute to the development of more intuitive and human-centered automation, facilitating the integration of personalized driving styles into future vehicles while considering real-world environmental influences.Mit den fortschreitenden technologischen Möglichkeiten verlagert sich der Fokus zukünftiger Fahrerassistenzsysteme und autonomer Fahrzeuge von der bloßen Machbarkeit hin zur Implementierung akzeptabler und komfortabler Fahreigenschaften. Diese Dissertation untersucht die Heterogenität des menschlichen Fahrverhaltens, insbesondere das laterale Fahrverhalten und individuelle Fahrstilpräferenzen auf Landstraßen, und fördert damit die Forschung hin zu personalisierten Fahrerassistenzsystemen und autonomen Fahrzeugen. Eine kontrollierte, reale Fahrzeugstudie (N = 62) wurde durchgeführt, um zentrale Indikatoren des Fahrverhaltens zu identifizieren und zu definieren, soziodemografische Abhängigkeiten zu analysieren und die Übereinstimmung zwischen subjektiven Selbsteinschätzungen und objektiven Daten zu bewerten. Korrelationsanalysen ergaben moderate, aber signifikante Zusammenhänge zwischen den selbstberichteten Fahrstilen der Teilnehmenden und objektiven Beschleunigungs- sowie Ruckstatistiken. Besonders hervorzuheben ist, dass eine detaillierte Analyse des lateralen Fahrverhaltens eine erhebliche interindividuelle Variabilität aufzeigte. Trotz des wachsenden Interesses an adaptiven Fahrstilen gibt es bislang nur begrenzte Forschung zur Einflussnahme kontextueller Faktoren - insbesondere widriger Wetterbedingungen und Gegenverkehr - auf automatisierte Fahrfunktionen. Um diese Forschungslücke zu schließen, wurde eine Fahrsimulatorstudie (N = 42) durchgeführt, in der laterale Fahrstilpräferenzen für autonome Fahrzeuge unter variierenden Wetter- und Verkehrsbedingungen untersucht wurden. Statistische Analysen zeigten eine weit verbreitete Präferenz für passive Fahrstile, wobei Umweltfaktoren den wahrgenommenen Fahrkomfort erheblich beeinflussten. Um die Einschränkungen bestehender Fahrstilmodelle in der Integration von Umweltinformationen zu überwinden, stellt diese Arbeit eine situationsbewusste Fahrstilanpassungsmethode vor, die Deep Learning mit statistischen Ansätzen kombiniert. Durch den Einsatz visueller Merkmalsencoder, die auf Flottendaten vortrainiert wurden, erfasst die vorgeschlagene Methode eine strukturierte Repräsentation der Fahrumgebung und lernt eine Abbildung vom situativen Kontext auf das Fahrverhalten, wodurch eine Anpassung an individuelle Fahrstilpräferenzen ermöglicht wird. Die entwickelten Modelle übertreffen die Ansätze aus der Literatur signifikant und bilden kohärente Situationscluster, wodurch die Anpassungsfähigkeit automatisierter Fahrzeugsysteme verbessert wird. Diese Erkenntnisse tragen zur Entwicklung intuitiverer und stärker am Menschen orientierter Automatisierung bei und erleichtern die Integration personalisierter Fahrstile in zukünftige Fahrzeuge, wobei reale Umwelteinflüsse berücksichtigt werden

    Author Under Sail The Imagination of Jack London, 1893-1902

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    In 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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