We used the GA population size of 128, and the top scoring 32 individuals were selected as fit to survive in the next generation of solutions; the search was stopped after no improvement was seen for the last 25 iterations of each run.
However, different models were explored and the one selected as well as providing the best fit to the data also produced more realistic estimates of the impact on long term survival.
Thus, shorter bent conformations with low energy were selected as they fit better sterically to the cyclic compounds and improve q2.
The models HKY + G [ 57] and F81 [ 58] were selected as best fit nucleotide substitution models for the NE and SE populations, respectively, using the Bayesian information criterion (BIC) as implemented in jModeltest v.0.1.1 [ 59, 60].
The final model was selected to fit as closely as possible with the panel opinion, whilst remaining clinically valid and inclusive.
The Logarithmic model was selected as best curve fitting technique for non-linear regression analysis for forced mode.
Logarithmic and Midilli-Kucuk models are selected as best curve fitting techniques for non-linear regression analysis for bitter gourd flakes drying under natural and forced convection modes respectively based on SSE, R-square, adjusted R-square and RMSE values.
Based on SSE, R-square, adjusted R-square and RMSE, Prakash and Kumar model was selected as best curve fitting technique for non-linear regression analysis for gooseberry drying under passive mode.
The JTT + gamma model was selected as best model fitting to the data, according to a ProtTest analysis [ 59] and following the Akaike information criterion.
Maximum-likelihood phylogenetic trees were inferred using PhyML 3.153 implemented in MEGA version 6.0654 with the nucleotide substitution model GTR + G + I selected as best-fit models by jModelTest55.
According to the Akaike Information Criterion (AIC), 82 of 88 models considered were selected as best-fit models at least in one occasion, although with very different frequencies.
