132,714 research outputs found

    Solar system constraints on Rindler acceleration

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    We discuss the classical tests of general relativity in the presence of Rindler acceleration. Among these tests, the perihelion shifts give the tightest constraints and indicate that the Pioneer anomaly cannot be caused by a universal solar system Rindler acceleration. We address potential caveats for massive test objects. Our tightest bound on Rindler acceleration that comes with no caveats is derived from radar echo delay and yields |a|<3nm/s2. © 2011 American Physical Society

    Erdberger Knabenhort Preis, 2 Heller, D 1909 C

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    ERDBERGER KNABENHORT PREIS, 2 HELLER, D 1909 C Erdberger Knabenhort Preis, 2 Heller, D 1909 C ( -

    Bad Mergenthein a. d. tauber in Wttbg.; Altehrwürdige Deutschordensresidenz. Koch-Glauber-Bittersalzquelle; Grosser Preis, 1. Hygiene Ausst. Dresden 1911

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    BAD MERGENTHEIN A. D. TAUBER IN WTTBG.; ALTEHRWÜRDIGE DEUTSCHORDENSRESIDENZ. KOCH-GLAUBER-BITTERSALZQUELLE; GROSSER PREIS, 1. HYGIENE AUSST. DRESDEN 1911 Bad Mergenthein a. d. tauber in Wttbg.; Altehrwürdige Deutschordensresidenz. Koch-Glauber-Bittersalzquelle; Grosser Preis, 1. Hygiene Ausst. Dresden 1911 ( -

    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

    Characterizing the time-perspective of nations with search engine query data

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    Vast quantities of data on human behavior are being created by our everyday internet usage. Building upon a recent study by Preis, Moat, Stanley, and Bishop (2012), we used search engine query data to construct measures of the time-perspective of nations, and tested these measures against per-capita gross domestic product (GDP). The results indicate that nations with higher per-capita GDP are more focused on the future and less on the past, and that when these nations do focus on the past, it is more likely to be the distant past. These results demonstrate the viability of using nation-level data to build psychological constructs

    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

    Gesetzl. Geschützt; Neues aus aller Welt; Elektra Schoneberg, »Der große Preis von Berlin« auf der Trabrennbahn Mariendorf, mit 25000 M. wurde von N. v. D. Mine (X) gewonnen.

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    GESETZL. GESCHÜTZT; NEUES AUS ALLER WELT; ELEKTRA SCHONEBERG, »DER GROSSE PREIS VON BERLIN« AUF DER TRABRENNBAHN MARIENDORF, MIT 25000 M. WURDE VON N. V. D. MINE (X) GEWONNEN. Gesetzl. Geschützt; Neues aus aller Welt; Elektra Schoneberg, »Der große Preis von Berlin« auf der Trabrennbahn Mariendorf, mit 25000 M. wurde von N. v. D. Mine (X) gewonnen. ( -

    "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
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