Optimal formulas of composite modifiers were determined using orthogonal experiment design and range analysis.
A procedure of optimal formula design was based on a novel approach of spectral expansion.
I also show how to derive optimal formulas using ''reform-specific elasticities" that can be targeted to empirical estimates from existing reforms.
The orthogonal-test-design method was used to determine the optimal formula by phase behavior and transient interfacial tension (IFT) studies, respectively.
The optimal formula was chosen using Design-Expert® software and subjected to scanning electron microscope imaging, γ-sterilization and in-vivo evaluation.
The resistance factor of the optimal formula increases as permeability of sand pack increases, and the lower the permeability of sand pack, the smaller the injection volume of foam needed to achieve stability.
By using the Bayesian model class selection approach and all the pullout resistance data from laboratory tests, an optimal formula is proposed and it possesses rational balance between the data-fitting capability and robustness to measurement noise and modeling error.
The mathematical analysis revealed that the optimal formula for pectinase production from Aspergillus niger by solid fermentation under the conditions of natural aeration, natural substrate pH (about 6.5), and environmental humidity of 60% is rice dextrose 8%, wheat bran 24%, ammonium sulfate ((NH4 2SO4) 6%, and water 61%.
The complexes of different vectors for gene transfer were prepared at their optimal formula as 20 1, 20 1, and 2 1 for chitosan, chitosan-g-PEI and PEI, respectively.
This is an extension of our previous study that focused on determining the optimal formula for providing the maximum possible yield from machine learning-based virtual screening, taking into account another very important aspect of designing VS experiments.
