130,455 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

    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

    The effect of rosé wine colors on expected flavor and tastiness: A cross-modal correspondence explanation

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    How and why do wines with different colors influence consumer responses? Despite strong evidence from research on cross-modal correspondences that food and drink colors influence flavor perceptions and subsequent consumer responses, it is unclear from the wine literature whether consumers prefer paler or slightly darker colors of ros´e. The aim of this research is twofold: (1) identify from an existing set of (relatively pale) prototypical color shades of Ros´e de Provence what specific color (paler vs. slightly darker) leads to more positive consumer responses and (2) shed light on the underlying mechanisms that explain this relationship. Using a large sample of French wine consumers (n = 601), we test our hypotheses via a within-subjects design experiment. We first examined the effect of five shades of Ros´e de Provence wines (nacre, light melon, sand, melon, and peach) on consumer responses (willingness to pay, willingness to buy, color liking). To further investigate the underlying roles of fruity flavor and expected tastiness (in that order), we conducted a series of two-condition withinsubjects serial mediations. Our findings consistently show more positive consumer responses for Ros´es de Provence with peach and melon shades (i.e., slightly darker colors) compared to nacre, light melon, and sand shades (i.e., paler colors). Further, a stronger association between slightly darker colors and fruity flavor enhances expected tastiness, which leads to more positive consumer responses. Our findings provide key theoretical contributions and managerial implications by suggesting consumer responses for Ros´es de Provence and corresponding explanations based on cross-modal correspondences.David A. Jaud, Thierry Lorey, Nathalie Pouzalgues, Gilles Masso

    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

    EXPRESS: Curbing Adolescents’ Risky ‘Drinking’ Behavior with Authenticity

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    First published online October 7, 2024Adolescents’ risky drinking behavior continues to be a public policy concern and insights into effective messages and behaviors that resonate with adolescents is needed. Evidence points to the potential of tapping into adolescents’ need for authenticity. Drawing on authenticity literature and implementing a mixed methods approach using family group interviews, followed by a 1x3 between-subject experiment with adolescents, this research conceptualizes a novel authentic engagement framework for reducing adolescent risky behavior. The findings identify and test that messages about drinking need to acknowledge positive aspects while warning of the negative consequences (i.e. mixed messages) across three dimensions - social, hedonic and safety. Alongside mixed messages, parents need to be honest about past experiences and align their behavior by acting as positive role models. Importantly, adolescents need an environment which enables them to experiment while having clear boundaries. Together this translates into openness and authenticity; critical for trust and the ability for adolescents to be true to themselves. The research has implications for parents and policy makers/marketers engaging with adolescents authentically about risky behavior, by providing information on message type and behaviors for effective training/educational programs and responsible drinking campaigns. The framework can be transferred to other contexts involving risky behavior.Alexandra C Hess, Sarah Dodds, David A Jaud, Claire Garnier, and Olivier Gergau
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