1,720,978 research outputs found

    Rechenzentrumsdienste für Forschungsdaten

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    Am 11. November hat Stephan Hachinger (Leibnizrechenzentrum Garching) im Rahmen eines Werkstattgesprächs des Arbeitskreises "dhmuc" über Rechenzentrumsdienste für Forschungsdaten gesprochen. Dadadurch, dass Wissenschaftlerinnen und Wissenschaftler auch in den Geisteswissenschaften zunehmend digital und datengestützt arbeiten, gewinnt die Frage eines nachhaltigen Forschungsdatenmanagement eine große Bedeutung. Sie sind auf die Verfügbarkeit leistungsfähiger Cloud- und Datendienste durch Rechen..

    The LEXIS Distributed Data Infrastructure: Demonstrator System

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    The LEXIS Distributed Data Infrastructure: Demonstrator System by: LEXIS Project and Work Package 3 Team Project Lead: IT4Innovations National Supercomputing Centre (Czech Republic) Work Package 3 Lead: Leibniz Supercomputing Centre (LRZ, Garching b. M., Germany) The enormous amounts of data generated in modern industry, business and science pose a significant challenge to those extracting actionable intelligence from data, using various filtering and analysis techniques. In this "Big Data" setting, the LEXIS project (Large-scale EXecution for Industry & Society) provides a user-friendly portal and platform for optimised execution of mixed Cloud-HPC (HPC: High-Performance Computing) workflows. The system will rely on advanced, distributed orchestration solutions (Bull Ystia Orchestrator, based on TOSCA and Alien4Cloud technologies), the High-End Application Execution Middleware HEAppE, and new hardware capabilities for maximizing efficiency in data processing, analysis and transfer (e.g. Burst Buffers with GPU- and FPGA-based data reprocessing). LEXIS handles computation tasks and data from three Pilots, based on representative and demanding HPC/Cloud-Computing use cases in Industry and Science: i) compute-/data-intensive and time-consuming simulations of turbo-machinery and gearbox systems in Aeronautics, ii) Earthquake and Tsunami simulations which are accelerated to enable accurate real-time analysis, and iii) Weather and Climate HPC simulations where massive amounts of in situ data are assimilated to improve forecasts. Here, we introduce and show a demonstrator of the LEXIS Distributed Data Infrastructure (DDI), the core data back-end of the LEXIS project. The DDI provides a unified "File Space" for LEXIS, across the participating sites and computing centres. Based on iRODS (irods.org) and EUDAT-B2SAFE (eudat.eu), it will ensure reliable and efficient access to large datasets in the Terabyte range and beyond. We have prepared virtual machine templates for the LEXIS Cloud resources which implement a Demonstrator of the LEXIS DDI. The system, once instantiated, consists of two iRODS-iCAT (provider) servers, representing the LRZ and IT4I iRODS zones, and of two client machines for access to the distributed data management system. Thus, interested colleagues can explore the possibilities offered by this system on an "own" demonstrator instance. Please contact us at info[at]lexis-project.eu if you are interested.</p

    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
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