139,135 research outputs found

    The Research Data Alliance: Building Community & Infrastructure for Data Sharing World-wide

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    This presentation to Pitt and CMU library faculty & staff on data sharing and the Research Data Alliance was given during Open Access Week 2015, jointly sponsored by the Carnegie Mellon University Libraries and the University Library System, University of Pittsburgh on Thursday, October 22, 11:00am - 12:00pm at the Mellon Institute Conference Room (MI 348), Carnegie Mellon University. Three years ago, the Research Data Alliance (rd-alliance.org) was launched as a community-driven international organization with a mission to develop social and technical infrastructure that supports and accelerates data sharing world-wide. Since its launch, the RDA has grown precipitously and now has over 3100 members from 100+ countries. U.S. Chair Francine Berman discusses the opportunities and challenges of sharing research data, and describes RDA’s global efforts to build an agile and functional organization, a broad and cohesive community, and a pipeline of impact-focused infrastructure adopted by individuals, projects and organizations to solve problems. ABOUT THE SPEAKER: Francine Berman is the Edward P. Hamilton Distinguished Professor in Computer Science at Rensselaer Polytechnic Institute. She is a Fellow of the Association of Computing Machinery (ACM), a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and a Fellow of the American Association for the Advancement of Science (AAAS). In 2009, she was the inaugural recipient of the ACM/IEEE-CS Ken Kennedy Award for “influential leadership in the design, development, and deployment of national-scale cyberinfrastructure.” Dr. Berman is U.S. lead of the Research Data Alliance (RDA). She also serves as Chair of the Anita Borg Institute Board of Trustees, as co-Chair of the NSF Advisory Committee for the Computer and Information Science and Engineering (CISE) Directorate, as a member of the Board of Trustees of the Sloan Foundation, and as a member of the Board of Directors of the Monterey Bay Aquarium Research Institute (MBARI). Dr. Berman has served as Director of the San Diego Supercomputer Center and as Vice President for Research at Rensselaer Polytechnic Institute. She also served as co-Chair of the National Academies Board on Research Data and Information (BRDI), as co-Chair of the US-UK Blue Ribbon Task Force for Sustainable Digital Preservation and Access, and Chair of the Information, Computing and Communication Section (Section T) of the American Association for the Advancement of Science (AAAS). For her accomplishments, leadership, and vision, Dr. Berman was recognized by the Library of Congress as a “Digital Preservation Pioneer”, as one of the top women in technology by BusinessWeek and Newsweek, and as one of the top technologists by IEEE Spectrum

    Le projet de traductologie d´Antoine Berman

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    En remplaçant le couple oppositionnel pratique/théorie par l\u27association intime de l\u27expérience et de la réflexion, Antoine Berman a défini sa traductologie comme «la reprise réflexive de l\u27expérience qu\u27est la traduction».  Dans un texte inédit, rédigé en 1990-1991, il redéfinit son discours sur la traduction comme une «herméneutique» signifiant l\u27«auto-explicitation conceptuelle d\u27une expérience humaine fondamentale». Ce cheminement d\u27A. Berman peut être considéré comme un «tournant» ; pour expliquer cette Kehre et la raison pour laquelle il se réfère plutôt à l\u27«herméneutique de soi» de P. Ricoeur qu\u27à la pensée heideggérienne, il nous faut scruter les présupposés philosophiques de sa traductologie.

    Reply: response to the letter by Drs Berman and Case

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    Response to: Comment on, "Quality of evidence must guide risk assessment of asbestos, by Lenters, V., Burdorf, A., Vermeulen, R., Stayner, L., Heederik, D.", Berman DW, Case BW. Ann Occup Hyg. 2013 Jun; 57(5):667-9

    Reply: response to the letter by Drs Berman and Case

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    Response to: Comment on, "Quality of evidence must guide risk assessment of asbestos, by Lenters, V., Burdorf, A., Vermeulen, R., Stayner, L., Heederik, D.", Berman DW, Case BW. Ann Occup Hyg. 2013 Jun; 57(5):667-9

    Lazar Berman

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    1.Transzcendens etűd No.11 : "Esti harmóniák" = Étude d'exécution transcendante No.11 : "Harmonies du soir" (October 15, 1956) /Ferenc Liszt +2.Funerailles (October 2, 1956) /Ferenc Liszt +3.IX. Magyar rapszódia : "Pesti karnevál" = Rhapsodie hongroise No.9 (October 2, 1956) /Ferenc Liszt +4.Transzcendens etűd No.8 : "Vadászat" = Étude d'exécution transcendante No.8 : "Wilde jagd" (October 2, 1956) /Ferenc Liszt +5.Spanyol rapszódia = Rhapsodie espagnole (October 15, 1956) /Ferenc Liszt +6.Toccata (October 15, 1956) /Sergey Prokofiev +7.Desz-dúr, I. zongoraverseny = Piano concerto in D flat major No.1 (October 13, 1956) /Sergey Prokofie

    Comparison of the Berman Intubating Airway and the Williams Airway Intubator for fibreoptic orotracheal intubation in anaesthetised patients

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    Sixty patients with no clinical indicators of a difficult airway were selected to undergo a fibreoptic assessment after induction of general anaesthesia using both the Berman Intubating Airway and the Williams Airway Intubator. The bronchoscopic view and ease of railroading a tracheal tube during fibreoptic orotracheal intubation were studied. The bronchoscopic views obtained by the Berman Airway and the Williams Airway were significantly different (p < 0.008, test of symmetry). The estimated odds ratio of obtaining an obstructed path was 3.06 times higher for the Berman than the Williams Airway. However, if the glottis could be reached with the bronchoscope, there was no significant difference in the degree of ease of intubation between the two airways

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    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
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