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The proposed model is resolved using Artificial Immune System (AIS) and Particle Swarm Optimization (PSO) algorithms.
where b n can again be a deterministic or random variable and, in contrast to the previous sections, the observation model is resolved for x n.
The model is resolved numerically using the Broyden Fletcher Goldfarb Shanno (BFGS) approach and allow access to several physical parameters and their impact on the performance of the cell.
The unsteady inviscid flow-field in the aeroelastic model is resolved analytically and also using a higher fidelity vortex lattice algorithm and the relative effect on damage is seen.
For management implications, non-adjustment in the "one hospital" model is resolved by putting a higher relevance on the relative cost matrix (the case-mix of a case distributed to the cost matrix), which has to be multiplied by a base rate to get the actual cost.
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The model was resolved by using the finite differences technique.
The model was resolved for reversible Michaelis Menten kinetics, including simple Michaelis Menten and product competitive inhibition kinetics.
As a result, the problems with the previous model were resolved, giving rise to an improved comprehensive model (hereinafter "new model").
The analysis started with a 20 mm mesh size of the elements (coarse mesh) then the model was resolved with smaller and smaller meshes (mesh refinement).
In addition, as this research was done based on a real situation, after the model was analyzed, this model was resolved based on real numbers, in which the related result also was obtained, and solved using the genetic algorithm.
The minor clashes between Her2 and EGFR in the original model were resolved by adjusting the side chains of the amino acids involved.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com