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However, computational simulation allows prediction and understanding of the spatial and temporal evolution of the hydrogen reactions and participates in saving significant time in the design and optimization of hydrogen tanks.
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In contrast, an approach based on combining numerical optimisation methods with computational simulation allowed a sequence of tidal volume reductions to be computed for each virtual patient that maintained PaCO2 levels while significantly reducing peak airway pressures and dynamic alveolar strain in all patients.
Recent developments in computational simulation allow for detailed assessment of VAD hemodynamics for device design and optimization for both children and adults.
Computational simulations allow researchers to pose and test hypotheses and perform experiments in silico.
These studies, supported of course by the use of the full range of modern material examination techniques and computational simulations, allow a more complete understanding of analyzed structures.
The availability of a validated simulation model allows powerful computational intelligence methods such as particle swarm optimization (PSO) [12] and genetic algorithms (GA) [13] to be used to estimate optimal operating parameters for the biogas plant.
These approximations have been widely applied to modeling and analysis of biochemical systems for allowing computational simulation of dynamics and parameter estimation for unknown γ i and ρ ij.
Our systematic characterization of human brain tissue will lead to more accurate computational simulations, which will allow us to determine criteria for injury, to develop smart protection systems, and to predict brain development and disease progression.
The adoption of such advanced computational approaches allows simulation-based probabilistic or stochastic FEA of shells to be performed in affordable computing times and therefore become more tractable in structural engineering practice.
The realistic simulations allow to: (i) benchmark computational workflows aiming at studying RNA localization; (ii) assess the descriptive power of features; and (iii) evaluate the overall performance of clustering and classification methods.
Studies in computational simulation and yeast experiments have also provided evidence that compromising network hubs allows cells to reveal cryptic genetic variation or population heterogeneity (Bergman and Siegal 2003; Levy and Siegal 2008).
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