1,721,245 research outputs found

    COMPUTATION OF OPTIMAL UNSTABLE STRUCTURES FOR A NUMERICAL WEATHER PREDICTION MODEL

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    Numerical experiments have been performed to compute the fastest growing perturbations in a finite time interval for a complex numerical weather prediction model. The models used are the tangent forward and adjoint versions of the adiabatic primitive-equation model of the Integrated Forecasting System developed at the European Centre for Medium-Range Weather Forecasts and Meteo France. These have been run with a horizontal truncation T21, and 19 vertical levels. The fastest growing perturbations are the singular vectors of the propagator of the forward tangent model with the largest singular values. -from Author

    Could electrical needle stimulation reduce diagnostic errors in electromyography?

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    During the electromyographic examination there is a risk of wrongly inserting the needle in a muscular area contiguous to the muscle of investigation. The objective of the work is to verify the mistakes chance during the needle placement into the muscle target. We have investigated on 45 patients the identification of the insertion site by electrical stimulation of the muscle, where the needle electrode is inserted, through the same recording needle and calculated how many times the needle can be inserted incorrectly in a muscle close to muscle target. The results showed that during standard needle electromyographic there are a significant error prevalence (33.3%) in the examination of some deeper muscles such as pronator teres (26.3%) and tibialis posterior (40.5%). In conclusion, a correct identification of the muscles tested may a useful practice for all patients especially in patients with motor recruitment problems avoiding other serial examinations and reducing patients discomfort. In other hand, this kind of method can be helpful during a training for a neurophysiologist to improve their technical skill

    SINGULAR VECTORS AND THE PREDICTABILITY OF WEATHER AND CLIMATE

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    Singular vector calculations are made using a coupled ocean-atmosphere model of the tropical Pacific region. Results from a multi-decadal integration of a medium-resolution quasi-geostrophic model are shown and the possible relevance of singular vector analysis for the problem of climate change are discussed. -from Author

    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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