The results of regression analysis and F-test show higher agreement between the experimental and model estimation during phenol oxidation, verifying necessity of the parameter γ in characterizing effective current for anodic reactions and rationality of the kinetics in describing organics oxidation by different electrodes.
The test for the necessity of random parameters, based on log likelihood improvement, resulted in the following parameters being set random, assuming a normal distribution: The effectiveness of the vaccine, the side effects of the vaccine and the source of information that the vaccine causes problems (both social media and acquaintance).
Eliminating the necessity of dynamic parameters and ACE identification, a Radial Basis Function (RBF) neural network approach would estimate the unknown dynamics of the designed controller.
The final comparison with published experimental data confirms that the model is capable of predicting the results without the necessity of fitting any parameter values other than choosing the Kolmogoroff microscale for the diameter of the eddies.
The present findings are used to discuss the necessity of ternary interaction parameters and possibilities for their calculation from known binary interaction parameters.
These results exemplify the necessity of separate atomic parameters for IHBs in solute molecules to improve the accuracy in estimating the molecular hydration free energies.
The studies highlighted the necessity of including multiple parameters for assessing effectiveness of medicinal plants against infectious forms of diarrhoea, especially in the absence of antimicrobial activity.
Levels of pERK were either attenuated or potentiated, depending on the timing or concentration of the treatments, making clear the necessity of examining these parameters carefully for each compound.
Although this approach has shown some improvements in phylogenetic inference, especially in the presence of saturation, it is computationally expensive and mostly suited for long alignments due to the necessity of inferring model parameters from the data.
The next few chapters introduce important applications of the package beginning with calibration, analysis of necessity, analysis of sufficiency, parameters of fit, negation and factorization, and the construction of Venn diagrams.
