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While models with more than one beneficial mutant often best fitted the data, for direct comparison with the original work, only the fitness of the first identified mutant haplotype was recorded in each case.
An effective diffusion coefficient of De = 5 × 10−11 m2/s was that which best fitted the data obtained.
The higher is the value of R 2 and the lower the value of error, the best fitted the data.
Pseudo second-order model best fitted the data with a coefficient of determination (R 2) of above 0.998 with an average relative and hybrid errors lower than 5%%.
Langmuir isotherm best fitted the data for FA which confirmed the monolayer adsorption, while sorption of AA followed Dubinin Radushkevich (D R) model which gave information on binding energy.
Pseudo-first-order, pseudo-second-order, Elovich and Avrami kinetic models were used to test the experimental data in order to elucidate the kinetic adsorption process; pseudo-first-order and Avrami models best fitted the data.
The molecular clock that best fitted the data was chosen by Bayes factor (BF) comparison.
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The model best fitting the data was the Avrami Erofeev model −ln(1 − α 1/1.5 = kt.
The conclusion was that the kinship and structure model best fit the data (data not shown).
Model specification yielding the lowest AIC is considered the optimal specification that best fits the data.
The straight lines show the GR laws (Eq. (1)) that best fit the data.
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