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The proposed model gave correct and reliable predictions.
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Nonetheless, the present model gives correct predictions for totally segregating particle systems.
The marginally stability model gives correct sonic characteristics up to void fractions of 0.8.
Comparing the simulated values by ANN with the experimental data indicates that the ANN model give correct results.
Comparison of the model results with the outcome of ad-hoc finite element analyses on five joint configurations shows that: (1) all models predict correctly the shear stresses; (2) only Lubkin and Reissner's model gives correct peel stress distributions; and (3) the axial and the hoop stresses are close to each other and are about one half of the peel stresses.
For high frequency excitation these differences are considerable and only the Mindlin–Herrmann or three-mode models give correct results.
The logistic model gave a correct prediction in 73%to83%3%.
The model gave a qualitatively correct description of the behavior of P. aeruginosa PUPa3 as well as derivative genomic knock-out mutants, in which either signal production (SN) or signal-response (SB) were inactivated.
A mixture pair is declared discriminable if the model gives the correct response on >50% (14 or more) of those trials (note chance performance is 1/3).
The analytical solution to the model equations is shown to give correct predictions in the kinetically controlled case only.
Finally I like to emphasize what Dr. Van Ryzin had concluded 20 years ago that for cancer risk assessment, many models can fit the data but only models which are biologically supported can give correct results for cancer prediction and cancer risk assessment.
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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