179,863 research outputs found

    Modulation of platelet and leukocyte adhesion in cardiothoracic anaesthesia.

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    Contains fulltext : 74859.pdf (Publisher’s version ) (Open Access)RU Radboud Universiteit Nijmegen, 11 januari 2010Promotores : Scheffer, G.J., Rossaint, R.151 p

    Optimizing Locoregional Anesthesia for Fast Track Orthopedic Surgery

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    Contains fulltext : 209501.pdf (Publisher’s version ) (Open Access)Radboud University, 15 november 2019Promotor : Scheffer, G.J. Co-promotores : Stienstra, R., Heesterbeek, P.J.C

    Regional anesthesia and total knee arthroplasty: Anesthetic and pharmacological considerations

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    Contains fulltext : 209723.pdf (Publisher’s version ) (Open Access)Radboud University, 21 november 2019Promotor : Scheffer, G.J. Co-promotores : Stienstra, R., Heesterbeek, P.J.C

    Prolongation of regional anesthesia. Determinants of peripheral nerve block duration

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    Contains fulltext : 161228.pdf (Publisher’s version ) (Open Access)Radboud University, 02 december 2016Promotor : Scheffer, G.J. Co-promotores : Stienstra, R., Heesterbeek, P.J.C

    Ultrasonography in Prehospital and Emergency Medicine

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    Contains fulltext : 202629.pdf (Publisher’s version ) (Open Access)Radboud University, 27 mei 2019Promotor : Scheffer, G.J. Co-promotores : Hoogerwerf, N., Geffen, G.J. va

    The contribution of ABC transporters to dendritic cell development and function

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    Scheper, R.J. [Promotor]Gruijl, T.D. de [Copromotor]Scheffer, G.L. [Copromotor

    The paradox of the clumps mathematically explained

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    The lumpy distribution of species along a continuous one-dimensional niche axis recently found by Scheffer and van Nes (Scheffer and van Ness 2006) is explained mathematically. We show that it emerges simply from the eigenvalue and eigenvectors of the community matrix. Both the transient patterns—lumps and gaps between them—as well as the asymptotic equilibrium are explained. If the species are evenly distributed along the niche axis, the emergence of these patterns can be demonstrated analytically. The more general case, of randomly distributed species, shows only slight deviations and is illustrated by numerical simulation. This is a robust result whenever the finiteness of the niche is taken into account: it can be extended to different analytic dependence of the interaction coefficients with the distance on the niche axis (i.e., different kernel interactions), different boundary conditions, etc. We also found that there is a critical value both for the width of the species distribution s and the number of species n below which the clusterization disappear

    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

    "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.

    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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