1,720,955 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
Joint Optimization for Multi-Person Shape Models from Markerless 3D-Scans
No full textAdvancements in 3D sensing technology are driving numerous contemporary applications in augmented reality, virtual try-on, and markerless motion capture. Since the data derived from such technologies frequently suffers from noise, occlusion, and resolution restrictions, we propose a novel approach to overcome these limitations by exploiting high-quality multi-view 3D data to train a statistical 3D human shape model, focusing on body shape analysis. Our research addresses the intricacy of training parametric 3D shape models from unstructured training data. Conventional methods rely on a complex multi-stage training pipeline, involving a registration step and a model parameter estimation step. While these methods have proven valuable, they tend to pose challenges in acquiring high-quality registrations in an unsupervised setting. The objective of this work is thus to simplify, streamline, and unify the various stages of the pipeline while improving the shape model formulation and the training process. The resulting approach can be used to train articulated shape models end-to-end without human supervision. Using noisy 3D data collected via low-cost sensors, the statistical 3D human shape model training pipeline helps to infer the most probable body proportions and postures to generate high-quality human shape models that can represent arbitrary human shapes in different body proportions and postures. To address these challenges, our work seeks to amalgamate the strengths of expressive human body shape models within a holistic training pipeline, whereby the feasibility of a simplified, end-to-end training framework capable of handling 3D scans corrupted by noise is explored. We also investigate the expressiveness of the models produced through this pipeline, comparing it with current state-of-the-art methods. Furthermore, we analyze the possibility of a significant reduction in the parameter count required by these methods without compromising their expressiveness or performance. Building upon established practices for differentiable shape model formulation, objective formulation, and joint optimization, the research yields three key contributions. First, we introduce a differentiable multi-person articulated human shape model that can be trained using joint optimization without any 3D supervision. Our model significantly reduces the parameter count, facilitates realistic 3D avatar generation with a low-poly base mesh, and is compatible with 3D modeling software. To this end, we enhance the prevalent mesh-based morphable models with subdivision surfaces enabling joint optimization methods and reducing the number of model parameters. Secondly, we put forward a singular objective for model training, that can be minimized with slight modifications to the off-the-shelf nonlinear least squares solvers. This objective function comprises non-euclidean manifolds, robust cost functions, and data-to-model correspondences. Regularization methods and best practices from the literature are aggregated to avoid overfitting and degenerate solutions to the optimization problem. Additionally, we incorporate existing 2D pose estimators to improve the convergence behavior of the proposed objective. The objective function is minimized by enhancing an existing solver implementation to cope with non-euclidean parameter spaces. Numerical optimization is performed on Graphical Processing Units to improve the training time of the proposed model. Finally, our model and the proposed optimization procedure are applied to approximately 1,000 markerless, low-resolution point clouds. We demonstrate the capability of large-scale joint optimization for multi-person shape model training, which was previously only considered when using alternating optimization methods. We evaluate the reconstruction quality of our approach and benchmark its competitive generalization capabilities on a challenging shape correspondence benchmark. Additionally, we conduct an extensive qualitative and quantitative evaluation showcasing ablation studies, failure cases, and comparisons to existing methods. Our approach yields competitive results on the shape correspondence benchmark FAUST and outperforms other related unsupervised methods. Moreover, the qualitative evaluations demonstrate lifelike avatar generation capabilities exhibiting realistic body proportions and movement. This work enhances the current capabilities in the realm of end-to-end 3D shape modeling and training, providing a more efficient and unified method for producing high-quality human shape models from noisy sensor data. Our methods and results open up new avenues for future research and improvements in this field
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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