Results 51 to 60 of about 13,527,272 (221)
Comparison of the “core stability” tests results among elite athletes
Спортивная медицина: наука и практика, 2023 Objective: to compare the results of endurance, strength and functional status of spine stabilisers muscles (core stability) obtained by testing national teams athletes of different sports.Materials and methods: 71 male athletes (judokas, boxers ...
R. I. Aliev
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Dynamic Mode Decomposition With Control Liouville Operators [PDF]
IEEE Transactions on Automatic Control, 2021 This article builds the theoretical foundations for dynamic mode decomposition (DMD) of control-affine dynamical systems by leveraging the theory of vector-valued reproducing kernel Hilbert spaces (RKHSs).
Joel A. Rosenfeld, R. Kamalapurkar
semanticscholar +1 more source
Dynamic Soliton-Like Modes [PDF]
Physical Review Letters, 2001 Physical Review ...
Shih, Ming-Feng, Sheu, Fang-Wen
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Mode coupling in dynamic stabilization of MhD modes [PDF]
Plasma Physics, 1974 Existing theory of dynamic stabilization of MHD modes completely disagrees with experimental results obtained for the m=1 mode in a linear screw pinch with superimposed HF axial fields (Bz). Theory fails to describe the experimental stabilizing condition and the magnitude and structure of the dynamic force (Fexp) derived from it. There is some evidence
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Impact of Fabric Properties on Textile Pressure Sensors Performance
Sensors, 2019 In recent years, wearable technologies have attracted great attention in physical and chemical sensing applications. Wearable pressure sensors with high sensitivity in low pressure range (<10 kPa) allow touch detection for human-computer interaction ...
Luca Possanzini +4 more
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Towards an Adaptive Dynamic Mode Decomposition
Results in Control and Optimization, 2022 Dynamic Mode Decomposition (DMD) is a tool that creates an approximate model from spatio-temporal data. We have developed an architecture of this tool that will adapt to the data from a given problem by leveraging time delay coordinates, projections, and
Mohammad N. Murshed, M. Monir Uddin
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Symmetry-reduced dynamic mode decomposition of near-wall turbulence [PDF]
Journal of Fluid Mechanics, 2021 Data-driven dimensionality reduction methods such as proper orthogonal decomposition and dynamic mode decomposition have proven to be useful for exploring complex phenomena within fluid dynamics and beyond.
Elena Marensi +3 more
semanticscholar +1 more source
Dynamic Range Mode Enumeration
CoRR, 2021 The range mode problem is a fundamental problem and there is a lot of work about it. There is also some work for the dynamic version of it and the enumerating version of it, but there is no previous research about the dynamic and enumerating version of it. We found an efficient algorithm for it.
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Estimating Time-Varying Effects of Prognostic Factors for Stomach Cancer Patients within a Dynamic Grouped Cox Model [PDF]
, 1996 We describe the identification of prognostic factors in the framework of a completely resected stomach cancer survival-study. For the analysis the dynamic grouped Cox-Model was used allowing for time-varying covariate effects.
Nekarda, H. +2 more
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