نتایج جستجو برای: geometrical variability
تعداد نتایج: 200767 فیلتر نتایج به سال:
An original homogenization method was used to analyze the nonlinear elastic properties of epithelial cells probed by magnetic twisting cytometry. In this approach, the apparent rigidity of a cell with nonlinear mechanical properties is deduced from the mechanical response of the entire population of adherent cells. The proposed hyperelastic cell model successfully accounts for the variability i...
The activities related to the preparation of the asteroseismic, photometric space mission COROT are described. Photoelectric observations, wide–field CCD photometry, uvbyβ calibrations and further time–series have been obtained at different observatories and telescopes. They have been planned to complete the COROT programme in the direction of the galactic Anticenter. In addition to suitable as...
My research is at the interface between applied mathematics and climate atmosphere ocean science. My primary applied mathematics research interests are in geometrical data analysis algorithms and statistical modeling of dynamical systems. These tools are applied in a range of applications in climate science, including intraseasonal oscillations of organized tropical convection and arctic sea-ic...
Quantitative assessment of the motion and deformation variability of the heart has important implications for the diagnosis and treatment of cardiac diseases. In this paper, we propose a novel multiframe framework for left ventricular deformation analysis based upon expectation maximization (EM) principles. Myocardial boundaries are extracted using modified levelset strategy, and sparse corresp...
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
This report describes the development of a deformable model for the automatic delineation of coronary artery cross-sectional areas with magnetic resonance imaging. The method is validated with coronary artery phantoms of varying diameters and images with different levels of signal-to-noise ratios. The reproducibility of the technique was examined with simulated geometrical shifts and motions du...
Abstract In this study, the correlation between geometric properties of fracture network and stress variability in a fractured rock was studied. Initially, discrete networks were generated using stochastic approach, then, considering tensorial nature stress, field under various tectonic conditions determined finite-difference method. Ultimately, data analyzed tensor-based mathematical relations...
Proteins frequently assume complex three-dimensional structures characterized by marginal thermodynamic stabilities. In this scenario, deciphering the folding code of these molecular giants with clay feet is a cumbersome task. Studies performed in last years have shown that the interplay between backbone geometry and local conformation has an important impact on protein structures. Although the...
in this paper, a sensitivity analysis of artificial neural networks (nns) is presented and employed for estimating the patch load resistance of plate girders subjected to patch loading. to evaluate the accuracy of the proposed nn model, the results are compared with the previously proposed empirical models, so that we can estimate the resistance of plate girders subjected to patch loading. the ...
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
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