1,720,976 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

    Post-esc-failure performance of a uam-scale hexacopter with dual three-phase motor

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    May 2024School of EngineeringDual three-phase motors are simulated on a 1200 lb hexacopter to examine its ability to tolerate any single electronic speed controller (ESC) failure. Redundancy is built into the powertrain, as each motor includes two sets of stators powered by electrically independent ESCs that drive a single motor shaft together. Control laws are tuned on the healthy aircraft to meet standard flying-qualities specifications. Power constraints are embedded in the controller to enforce both instantaneous and continuous power limits for each ESC. With the proposed powertrain, the aircraft is shown to be capable of trimming in all single ESC failure cases, including the case of aft failure in forward flight. Time-domain simulations demonstrate the aircraft's ability to re-establish trim and recover from any single ESC failure in hover and forward flight. Flying-qualities specifications are re-evaluated for the post-failure aircraft, showing minor degradation in several flying-qualities metrics. The post-failure aircraft's ability to follow commands without violating power constraints is verified through time-domain simulations. Thus, the benefits of implementing the dual three-phase motor on eVTOL aircraft are demonstrated by the hexacopter's ability to operate after any single ESC failure.M

    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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    Learning linear evolution of partial differential equations through koopman-inspired implicit neural representation

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    December 2023Living in the age of big data, learning models from data is of great importance; that is, representingsystems using provided or collected data as opposed to a system representation derived from the governing equations, which may be nearly impossible to derive (e.g., soft robotics) or may not even be known (e.g., coarse-grained systems). Despite the recent success of data-driven methods such as dynamic mode decomposition, SINDy, operator inference, these data-driven methods suffer from several pitfalls: 1) requiring the full measurement of the system state, which is usually unavailable in realistic setting; 2) unable to handle spatial-temporal data on complex, dynamically changing mesh; 3) lack inductive biases and interpretability. To address those challenges, this work introduces the Koopman Operator Implicit Neural Representation (KoIN) by leveraging recent advances in the Koopman operator theory and implicit neural representations. A neural implicit representation framework is employed to reduce spatial complexity into latent representation where the dynamics is governed by a linear system. This framework can be viewed as learning a Koopman operator of the nonlinear systems governed by partial differential equations in a mesh-agnostic way. Moreover, we leverage auto-encoding to avoid explicit encoding such that full state measurement is avoided. The effectiveness of this framework is validated on several canonical PDE data-sets with a diverse set of initial conditions ranging from 2D wave to incompressible Navier-Stokes equations. Our framework shows better generalizations than state-of-the-art methods on linear PDEs while slightly inferior on nonlinear PDEs. Overall, our framework trains much faster thanks to the simple linear representation.M

    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
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