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The computational methods we present here are physics-informed.
Methods: We present a practical and efficient method to achieve risk adjustment using restriction and indirect and direct standardization.
Methods: We present an open source computer model that is capable to generate realistic time series of RR intervals in both physiologic and pathologic conditions.
However, the methods we present here are simple and general, and hence applicable to FSI based on any other spatial discretization.
To illustrate the efficacy of the proposed methods, we present a few numerical examples for elliptic PDEs with multiscale and random inputs.
To assess the DMD model and the numerical approximation methods, we present two groups of numerical experiments that simulate the diffusion of hydrogen in palladium nanoparticles.
Following the description of the methods, we present a case study, which shows a successfully applied example of the use of this framework.
The modeling methods we present provide a means to identify locations in forest landscapes where wildlife and forest managers may most effectively co-ordinate their actions.
Then, based on the quadratic finite element and the extrapolation linear finite element methods, we present a composite scheme, and prove that it is convergent order three.
The methods we present here are well-suited for use in the analysis of other systems, such as tumor growth and the experimental evolution of bacteria.
To assess the robustness of these methods we present a study performed on three subjects, demonstrating the reproducibility of the delineation of low order visual areas.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com