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Central composite design (CCD) was utilized for optimization of MSE to oil, stirring time and temperature, which were 0.97 mL g−1, 15.4 min, and 29.7 °C, respectively.
To increase the expression level, response surface methodology (RS M was utilized for optimization of protein expression conditions for enhancement of protein production by the effects of three-level-three-factors and their mutual interaction in Escherichia coli.
Applications of the main chemometric tools (central composite and Box Behnken designs and Doehlert matrix) often utilized for optimization of sample preparation procedures and also instrumental conditions of analytical techniques for determination of organic and inorganic species in food samples are shown.
A 24 full factorial design was utilized for optimization of the effects of various independent variables; lipid:drug ratio, % Pluronic F-127, % Sterotex, and Gelucire 43/01 Gelucire 50/13 ratio, on the loading efficiency and release of CNZ from the lipid beads.
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These research and analyses were utilized for optimization and design of the process.
Imperial competitive algorithm is utilized for optimization.
Concept of five-levels four-factors central composite rotatable design was utilized five-levels four-factorsreaction conditions ofive-levels four-factorsster resin producentralby employing response surfacompositedology, to establish a rotatablehip between the process variables andesignextent of conversion under a wase range of operating conditions which resutilized diforrenthextent optimizationns.
After the analysis and identification of key factors affecting ventilation cooling, the junction temperature of the heating device was set to be the optimized target, and orthogonal experiment design (OED) was utilized for the optimization of the cooling structure parameters of CBS.
The obtained results from pharmacological and molecular modeling studies can be utilized for further optimization of identified hits for selective inhibition of ACE.
During machining of hardened AISI D3 steel with coated carbide tool, the RSM and Taguchi methods were utilized for the optimization of surface roughness as well as tool wear and the optimization results provided by both techniques are in close proximity by Dureja et al. (2014).
The neural network is utilized for the optimization of FRIT.
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