PROLIFIC: A FAST AND ROBUST PROFILE-LIKELIHOOD-BASED MUSCLE ONSET DETECTION IN ELECTROMYOGRAM USING DISCRETE FIBONACCI SEARCH

PROLIFIC: A Fast and Robust Profile-Likelihood-Based Muscle Onset Detection in Electromyogram Using Discrete Fibonacci Search

A stochastic scheme, namely, PLM-Lap, has recently been propounded, which relies on the profile likelihood (PL) constructed with a Laplace distribution for estimating muscle activation onsets (MAOs) in surface electromyographic (sEMG) data.The MAO detection accuracy and robustness of the PLM-Lap have been empirically shown to be better than those o

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Continuing to Confront COPD International Physician Survey: physician knowledge and application of COPD management guidelines in 12 countries

Kourtney J Davis,1 Sarah H Landis,2 Yeon-Mok Oh,3 David M Mannino,4 MeiLan K Han,5 Thys van der Molen,6 Zaurbek Aisanov,7 Ana M Menezes,8 Masakazu Ichinose,9 Hana Muellerova11Worldwide Epidemiology, GlaxoSmithKline, Wavre, Belgium; 2Worldwide Epidemiology, GlaxoSmithKline, Uxbridge, UK; 3University of Ulsan College of Medicine, Asan Medical Center,

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FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS

The article is devoted to the analysis of practice of application of specific computational techniques within MS Excel, including VBA, for teaching selected topics in actuarial mathematics.Formulation of the problem.With the evolution of financial and actuarial models towards complexity and reliance on machine learning and data science, there is a

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