1,721,531 research outputs found

    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

    Innovative Approaches for Mapping the Pressurized Irrigation Systems Performances Under Unsteady Flow Conditions

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    Nowadays, the management of pressurized irrigation networks requires plenty of information to provide an efficient and reliable service to farmers. An approach called MASSPRES is being developed as a collaboration between FAO and CIHEAM-Bari with the goal of developing a reliable modernization strategy and improving the performance of pressurized irrigation systems. Mapping the perturbation, which is represented by the unsteady state flow analysis, is one of the most significant steps of this approach. The perturbation in irrigation networks is often created when sudden changes in flow rates occur in the pipes. This is essentially due to the manipulation of hydrants (service outlets) according the operational scenarios called configurations. During the perturbation occurrence, pressure waves propagate through the networks pipes that may lead to a signification pressure variation. This variation could expose the irrigation system’s components to a substantial danger that could cause significant damage. To model such a phenomenon, several computational algorithms have been developed. The majority of these models aimed to simulate the unsteady state conditions induced by the farmer’s behavior. The most recent ones are efficient enough to provide a good image of the perturbation occurrence through different indicators, however, one of the main draw backs of such model is the significantly high time and computational costs. In the present work, two different generations of models were developed. The first is a directly programmed model that was devaloped based on the method of characteristics and two indicators have been introduced: i) The hydrant risk indicator (HRI), which is defined as the ratio between the participation probability of hydrant no. x in the riskiest configurations and its total number of participations; and ii) the relative pressure exceedance (RPE), which provides the variation of the unsteady state pressure with respect to the nominal pressure. The two indicators could help managers better understand the network behavior with respect to the perturbation by defining the riskiest hydrants and the potentially affected pipes. Although, knowing the riskiest hydrants in the network is an important piece of information, managing ramified networks in real time will remain a difficult task to handle in real time. Thus, the need of developing a real time Decision Support System (RTDSS) that could process such information and guide the manager in real time is crucial. For this aim, two thousand configurations (operational scenarios) were simulated using the directly programmed model from the first step and fed to train a new model based on deep learning with the objective of forecasting the maximum pressure occurred due to the perturbation at each section. The occurred pressure is represented as classes according to the case sensitivity and the required precision. Steps of 1, 2 and 3 bars were simulated. The model proved to be significantly time saving compared to previous approaches as the results are produced instantaneously with a forecasting accuracy of 85 %. Furthermore, using the confusion matrix, the error committed by the model is of one class lower or higher that may be considered tolerable according to the system sensitivity. This approach was applied on a pressurized on-demand irrigation system located in south of Italy that consists of 19 hydrants and covers 57 hectares. Nonetheless, the deep learning-based model needs to be trained on each section. Thus, as a main step of the method of characteristics, the network was discretized into 1017 sections of 3 meter each. Training the deep learning model for such number of sections is not practical and time consuming. For this reason, a code was developed using autoencoding combined with t-distributed stochastic neighbor embedding (t-SNE) algorithm for features extraction and their visualization respectively. It is principally to cluster the sections according to their behavior to the perturbation, thus, reduce the number of trainings of the previously mentioned model. Nine zones of similar behavior were determined by the present developed code and the deep learning model will be trained only on these zones representing all the sections. The two last developed codes could be integrated for a decision support system (DSS) for modelling the perturbation in the on-demand pressurized irrigation networks that would add a significant contribution to provide practical recommendations for real-time decision-making processes. which was not possible using directly programmed software

    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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