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The material model and proposed resistance functions are then described.
Numerical simulations verify the effectiveness of our formulated model and proposed algorithm.
Some computational experiments are presented to illustrate the effectiveness of the presented model and proposed algorithm.
Finally, a numerical example is created to illustrate the model and proposed solution algorithm.
The employed model and proposed estimator are validated with experimental results obtained from the response of a 40 Ah NMC Li-ion cell to several current profiles.
To make the best use of the kinetic specificity of toehold domain for circuit reaction initiation, we developed a mathematical model and proposed an initial reaction rate detection mode to quantitatively differentiate the single-base mismatch.
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We use a Hierarchical Dirichlet Process for our base topic model and propose an efficient inference algorithm based on Stochastic Variational Inference.
The first, and more conventional approach among behavioral economists and psychologists interested in judgment and decision making, highlights violations of the rational model and proposes descriptive models that capture these violations.
This section explores the application of the proposed model and proposes its rational superiority compared to the other models.
We prove $\Gamma$-convergence of the discrete model and propose an iterative method that decreases its energy and leads to stationary configurations.
Under these conditions, we formulate the problem as a nonlinear programming model and propose a genetic algorithm to solve it.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com