1,720,967 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
Partitioning Point Clouds and Meshes with Deep Learning
Get PDFThe overall objective of this dissertation is to enable a more efficient and effective point cloud and mesh partition for artists and 3D application developers. In this dissertation, 3D scans are assumed as the source data material of the 3D application development, reducing the manual and time-consuming modelling of virtual objects. Furthermore, the scanned data is assumed to be processed to a point cloud and reconstructed to a polygon mesh. The mesh has to be partitioned into the objects of interest to design specific interactions with a game engine. Interviews revealed that the partition is manually conducted on a mesh with a 3D manipulation software, which is time-consuming. The partition creation should be automated to increase efficiency and effectiveness. Freely available point cloud and mesh partition algorithms require an expert with appropriate programming skills and field knowledge, which makes them difficult to use. More precisely, the algorithms cannot be used in existing workflows as they are not implemented in a common graphical 3D manipulation software. Beneath these problems, the partition automation should work on real-world data and have a low runtime to raise efficiency. Different sub-research objectives were formulated from these problems and requirements, leading to novel approaches in the domains of: (a) sequential partition creation with deep reinforcement and imitation learning, (b) episodic partition creation with graph neural networks, (c) match-based reward calculation and (d) synthetic scene generation. One sub-research objective is the replacement of a human expert with an agent. In this context, a novel deep reinforcement learning (DRL) partition framework is presented. Experiments were conducted using this framework combined with the region growing algorithm and synthetic scenes created by a self-developed scene generator. The maximum reward could almost be achieved with a fine-tuned PointNet and by evaluating the wall and non-wall objects separately. This approach is not applicable to real-world scenes, which is necessary to achieve the efficiency and effectiveness objective. Therefore, another DRL partition approach is introduced, where an agent unifies superpoints in the so-called superpoint growing environment. The point cloud is divided into superpoints, which will be unified into the objects of interest by an agent. The experimental results show that this approach can be applied to real-world scenes. Beneath the application of DRL, an imitation learning approach was developed, increasing the agent’s performance in the superpoint growing environment. The runtime in the sequential superpoint growing environment is poor, as each union decision requires a neural network call. Hence, a further sub-research objective is to improve the runtime. An episodic environment was developed as a solution, only requiring one graph neural network call. Similarities between superpoints are estimated in this environment and passed to a union algorithm. The differences between two graph neural network architectures and two union algorithms were experimentally investigated. According to the results, calculating the superpoint similarities with a correlation of the embedded node features is more robust than the similarity estimation with a sigmoid activation function. The reward function, used in the DRL partition approaches, was realised by a matching procedure. As this function influences the partition quality, another sub-research objective is to investigate the differences between various match types. Matching functions from the literature were compared, and another match type was introduced. The usage of different match types in the learning process was experimentally evaluated. Although an agent gets more feedback with all match types, the best results (visual and in terms of the partition size) were achieved by only using first-order matches in the reward function. The synthetic scenes of the region growing approach lack realism as the lighting information is ignored, which can be important to train networks for the partition task. Therefore, a further sub-research objective is to develop a scene generator where the lighting is taken into account. After its development, the generated scenes were experimentally evaluated in a pre-training task. It turned out that the lighting information is important for a pre-training as larger accuracies were achieved. Furthermore, a faster convergence can be achieved with the pre-trained network instead of training a network on a target data set from scratch.
Another sub-research objective targets the development of a usable partition interface. In this context, the Blender add-on OpenXtract was developed, containing five open-source point cloud partition algorithms. The partition algorithms were extended by approximating geodesic distances so that the edges of meshes are used. An experiment has shown that the extended algorithms produce larger accuracies, which is considered an increase in effectiveness. Moreover, unstructured interviews revealed that OpenXtract can improve the effectiveness and efficiency of the partition creation
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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