130,467 research outputs found

    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

    Can connectors change team culture on fluid teams?

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    "Connectors—likable people with abnormally high motive, ability, and opportunity to develop relationships with lots of different people from different backgrounds (Autrey, Jackson, Klevsky, and Drasgow 2015a)—can help their teams become more effective by enhancing the team processes which significantly impact team outcomes (Autrey, Bauer, Jackson, and Klevsky 2015b). Yet if connectors are a scarce resource, the most effective strategy for assigning them to teams in order to enhance team effectiveness depends on what happens when the connectors leave the team. I hypothesize and find that connectors benefit teams with at least one member not predisposed to cooperate (""less cooperative teams""), and these organizational benefits remain after the connector is replaced by a non-connector. I also find that teams with every member predisposed to cooperate (""more cooperative teams"") do not need a connector’s help as much. After the connector leaves, the organizational benefits more cooperative teams obtained from working with a connector revert back to average levels experienced by more cooperative teams. This pattern of results suggests that exposure to connectors may help less cooperative teams because of the cooperative social norms connectors create and leave behind, but may not help more cooperative teams because the benefit requires the connector’s presence. These findings not only have practical implications for organizations with fluid teams, but also theoretical implications for the mechanisms underlying a previously documented connector effect. Specifically, these findings imply that while all teams can benefit from a connector’s presence, only less cooperative teams sustain that benefit via developing healthier social norms."Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-08-01The student, Elena Klevsky, accepted the attached license on 2016-07-11 at 14:28.The student, Elena Klevsky, submitted this Dissertation for approval on 2016-07-11 at 14:51.This Dissertation was approved for publication on 2016-07-14 at 10:30.DSpace SAF Submission Ingestion Package generated from Vireo submission #9868 on 2016-11-10 at 12:25:09Made available in DSpace on 2016-11-10T18:42:55Z (GMT). No. of bitstreams: 2 KLEVSKY-DISSERTATION-2016.pdf: 3908902 bytes, checksum: 7ee614bd551bdf09c1bb8263b815fe37 (MD5) LICENSE.txt: 4210 bytes, checksum: adc7b360fc655fc3dd222ea9601622ec (MD5) Previous issue date: 2016-07-14Embargo set by: Seth Robbins for item 95474 Lift date: 2018-11-10T18:43:22Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 95474 on 2018-11-11T10:15:45Z

    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

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    A. D. Fricke, author

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    Black and white photograph of author, A. D. Fricke

    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

    Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund

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    At the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far

    The R&D Tax Incentives

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    This article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives

    Rotational dynamics in ammonia borane: Evidence of strong isotope effects

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    This work reports anelastic spectroscopy measurements on the partially deuterated (ND3BH3 and NH3BD3) and perdeuterated (ND3BD3) ammonia borane (NH3BH3) compounds. The relaxations previously reported in NH3BH3 are observed in all the samples, and are ascribed to the rotational and torsional dynamics of NH(D)(3)BH(D)(3) complexes. A new thermally activated peak appears at 70 K (for a vibration frequency of similar to 1 kHz) in the spectrum of NH3BD3 and ND3BD3. The peak is practically a single-time Debye process, indicating absence of interaction between the relaxing units, and has a strikingly high intensity. A secondary relaxation process is also detected around 55 K. The anelastic spectrum of the ND3BH3 only displays this less intense process at 55 K. The analysis of the peaks supplies information about the dynamics of the relaxing species, and the obtained results provide indications on the effect of partial and selective deuteration on the hydrogen (deuterium) dynamics. (C) 2013 Elsevier B.V. All rights reserved
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