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The paper gives an overview of the analytical background of the model and shows how the model parameters can be identified from experiments using a reverse engineering approach.
Distinctly different polarised band positions and shapes can be identified from experiments investigating each of the different defect types.
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In the first step, a linear model of the column which is identified from experiments is used to compute the attainable control performance.
The results from computations with very fine solid element meshes agree well with the experiments when the strain hardening is identified from experiments up to very large strains.
In a second step, a linear model of the column is identified from experiments and used to compute the best attainable control performance for the chosen control structure.
Cancer-related genes were identified from experiments in EBI Atlas database by setting a p value threshold of 0.05.
Action-selection related activations were identified from experiment 3 by the contrast of free-selection of action versus specified actions, illustrated in Figure 3 E (FDR P < 0.05).
This selection process was associated with activation of frontopolar, dorsal-lateral, and ventral-lateral prefrontal cortex, bilaterally and supramarginal parietal cortex, similar to rule-selection as shown in Figure 3 B were identified from experiment 1 by the t-contrast for trials of 2 or 4 targets versus 1 target, in the context of no-rule having been specified (see Table 1) (FDR P < 0.05).
The origin of the kinetic barrier involved, however, cannot be identified from the present experiments.
Thus, the empirical parameter, characterizing drag reduction by using a certain polymer additive, can be identified from laboratory Couette device experiments requiring small fluid amounts, and then applied to forecast drag reduction in industrial-scale pipeline flows.
The material parameters can be identified from simple uniaxial and biaxial experiments.
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