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Through the numerical computation of function optimization, the algorithm can adaptively subdivide the model geometry, automatically detect self-collision of the model, properly modify its topology (because of the occurrence of self-collision), continuously evolve the model towards the object boundary, and reduce fitting error and improve fitting quality via global refinement.
Results showed that the HErD works the best in terms of fitting quality and flexibility.
The mechanistical retention models based on pseudo-phase and mass-action concepts of micelle formation were compared by fitting quality and prediction capability and high robustness of bilogarithmic dependence was observed.
A quantification of fitting quality between the Dpdf and the Mpdf may therefore provide the users with valuable information in data interpretation.
The fitting quality of the experimental data is assessed by computing the parameters such as the 'goodness of fit' χ2 and the R factors (Rp = profile factor, RB = Bragg factor, and RF = crystallographic factor) [20].
This can be documented experimentally, by tracing back to the fitting quality of the planes.
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These models can be used to approximate the elastic parameters of any anisotropic material with different fitting qualities.
Due to its perceptual nature, image quality should be evaluated through a subjective assessment, and quality metrics should be designed to fit quality judgments collected by psycho-visual experiments.
Corrections for the cooperativity did not improve fit quality and were not included in the final apparent Km and Vmax calculations.
Moreover, E1 fit quality degrades in ascites, rendering the utility of the model questionable.
In the preprocessing step, the data are filtered and uncertain genotype measurements, as well as individuals and SNPs that do not fit quality requirements are discarded.
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