1,720,966 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

    Semi-Automated Detection of Fragmented Rectangular Structures in High Resolution Remote Sensing Images with Application in Archaeology

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    Automated visual analysis has substantially advanced in recent years, allowing a variety of targets to be automatically detected. Remarkably successful algorithms and technologies have been developed, e.g., for face detection and for obstacle detection for autonomous car navigation. In archaeology, however, remote sensing images are still analyzed in the traditional way, by a visual inspection. Such a visual inspection is performed prior to a field survey in order to identify potential sites that may guide later fieldwork. Though this approach saves fieldwork time, visual inspection remains very time consuming and requires the highly concentrated attention of an expert. Due to human fatigue, this approach might be unreliable. Moreover, the visual inspection of image data over vast unexplored areas is not feasible at all. This is especially frustrating, since a large amount of high resolution image data has become available due to recent developments of satellite technology. It is, therefore, very appealing to automate screening of large datasets of remote sensing images.An automated screening does not aim at replacing visual image interpretation by an Archaeologist. Though machine vision algorithms have already become quite powerful at some visual tasks, human vision and its ability to interpret scenes and recognize objects is clearly superior in general. On the other hand, in contrast to a human expert, machine vision algorithms are capable of routinely screening a large amount of imagery and generating plausible candidate locations. These findings can be verified easily and timely by an archaeologist, who can also estimate their potential significance. Such a semi-automated approach can increase the efficiency of an archaeological survey of vast unexplored areas. In this thesis we develop a semi-automated methodology for detecting unknown rectangular structures, such as archaeological remains of livestock enclosures (LSE), in wide alpine areas covered by high resolution remote sensing images (HRRSI). The LSE structures were of a special interest in several recent archaeological studies, because such architectural remains offer important insights into the origins and historical development of alpine pasture economy. The LSEs have varying sizes and aspect ratios, may be heavily ruined, and may have spectral properties similar to the surrounding terrain and rocks. They appear in HRRSI images as faint fragmented usually approximately rectangular contours on a complex background. As a part of our methodology we introduce particular image analysis algorithms that are briefly outlined below. We introduce an approach for segmenting out large contextually inappropriate regions of high texture contrast, such as urban areas, forests, or rocky areas. This approach is shown to be superior to other methods in terms of accuracy of segmentation at texture borders and ability to distinguish texture details from individual features, which might be a part of the structures we are searching for. We also introduce a complementary method that extracts individual image features, i.e. linear segments corresponding to walls of ruined LSEs, while suppressing background texture. A quantitative comparison with alternative approaches is also provided. We propose a method for fast detection of initial candidates. It generates sparse locations that are, at least partially, enclosed by a structures of an arbitrary shape. Image patches at candidate locations are further analyzed based on dedicated rectangularity-size features introduced in the thesis. These features allow capturing rectangular enclosures, even if distorted, incomplete, or fragmented. On the other hand, they are not sensitive to a variety of irrelevant structures, such as isolated corners, line intersections, parallel curves, etc. The LSE structures are detected using a linear classifier fed with the rectangularity-size features. We have designed a dedicated linear classifier that is not prone to overfitting the data even in our case of extremely unbalanced data with only a few positive and a large number of negative examples. We quantitatively compare the effectiveness of the rectangularity-size features for our detection task with other handcrafted features and with state-of-the-art pre-trained deep CNN features. The flow of the image analysis algorithms, which automatically generates detections and their confidence, is followed by a visual inspection by means of a specially designed graphical user interface (GUI). The GUI allows quick and convenient validation of true detections and rejection of falsely detected sites. We demonstrated the feasibility of our methodology by applying it to two large alpine regions. We were able to detect the LSE structures of interest, some of which were hitherto unknown. Although, we developed the algorithms for processing HRRSI with a particular archaeological application in mind, they can be used in different domains and for different purposes. We have, for example, briefly discussed the application of some of the algorithms to detecting individual buildings in rural or mountainous areas.publishe

    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

    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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