Each of the theoretical approaches predicts a particular dynamics of adaptation as a function of the population size and the error rate, and experimental studies have been designed to verify whether the behaviour of real populations of bacteria [ 11, 22, 23], yeast [ 17], or viruses [ 24] fit the theoretical predictions.
Moreover, unlike the case where α = 0.1 and a = 10 (see Fig. 5), the 1D approach predicts a similar qualitative behavior as the other two approaches.
The theoretical approach predicts a catastrophic damage evolution in terms of eroded mass as a function of the exposure time.
Nevertheless, due to the absence of the microscopic fluctuation, Biot׳s model with the parameters obtained from the homogenization approach predicts a higher resonance frequency than the DNS, whereas a full homogenization modification improves the prediction.
Eventually, hybrid response surface model genetic algorithm (RS M GA approach predicted a better optimal solution than RSM, i.e., the adsorptive removal of As III) (10.47 μg/g) is facilitated at 30.22 mg C/L of EtOH with initial As III) concentration of 196.77 μg/L at pH 5.8.
For each miRNA it is always the case that our approach predicts a set of targets, distributed through a range of free energy scores.
Remarkably, one intriguing approach predicts a maximum in the diffusive current with respect to the binding potential.
The extended MST approach predicts a globular structure for the majority of small complexes, while sparser networks with more intricate structures are predicted for larger complexes.
In particular, tail length showed a greater decline under medium DTF conditions at 20°C especially in light of the modelling approach predicting a positive effect.
