Sentence examples for multiple response parameters from inspiring English sources

The box-Behnken method of Response Surface Methodology (RSM) has been used for designing the experiments along with the Desirability Approach for multiple response parameters optimization.

Such studies are possible, not only by investigating a single but also multiple response parameters.

Fluorescence microscopic imaging is advantageous for high-content assays that assess in vivo drug effects using multiple cellular response parameters [7].

Alternatively, a compendium approach examining multiple cellular response parameters (e.g., gene expression levels and growth rates) can be used to infer the drug targets of a novel compound based on reference bioactivity profiles of well-characterized drugs [5], [6].

In this work, Taguchi design method based GRA used to optimize TC of TBCs at high-temperature application parameters for multiple response quality features such as TD and TFC to withstand high temperature in studying the amount of barrier offered (temperature drop occurring across the coating) and lifespan of coatings over the metal substrate.

From multiple response optimizations, the optimal combination of parameters are current 1 amp, pulse on-time 0.98 μs, pulse off-time 0.03 μs, tool material 0.31 and the powder (suspended particles) 0.64.

The Mann-Whitney U test was used in comparisons of non-parametric two group parameters, the Kruskal-Wallis test for multiple groups and the Chi-square test for dichotomous response parameters and to test differences in proportions between groups.

The Mann-Whitney U test was used in comparisons of non-parametric two group parameters, Kruskal-Wallis for multiple groups and the Chi-square test in cases of dichotomous response parameters and to test differences in proportions between groups.

The multiple response methods was applied to obtain the optimum condition for the five parameters used including contact time, pH, adsorbent dose, initial As III) concentration and temperature.

As the larger value of MPI corresponds better multiple response characteristics, the optimum combination can be obtained by selecting the largest level average of each parameter.

Rajesh and Anand (2012) used multiple regressions and genetic algorithm model for choosing the optimal machining parameters in EDM process and resolved that the current is a vital parameter that affects the response parameters.