Sentence examples for by performing nonlinear regression from inspiring English sources

The formal potential (E0′), the apparent coverage, the electron transfer coefficient and the apparent electron transfer rate constant (ks) were calculated by performing nonlinear regression analysis of square wave voltammetry (SWV) experimental data.

Kinetics was established by performing nonlinear regression between Y TP and t, for extractions carried out by both water and 10%% (w/v) glycerol, at 70 °C, to enable the determination of kinetic parameters that were descriptive of the extraction process.

GraphPad Prism (version 6 for Windows, GraphPad Software Inc., San Diego, USA) was employed to produce dose-response curves by performing nonlinear regression analysis.

The inhibition kinetics was then analyzed by performing nonlinear regression analysis by fitting the acquired data to noncompetitive equation for inhibitor binding), which indicated that curcumin acts as a noncompetitive inhibitor of RNase L. After the nonlinear regression analysis with lower concentrations of curcumin, a Ki value of 4.136  μM was obtained).

IC50 values were determined by subtracting the background activity and performing nonlinear regression with Prism (GraphPad).

Ki of curcumin binding to RNase L was determined by performing a nonlinear regression analysis by fitting the acquired data to noncompetitive equation for inhibitor binding using GraphPad Prism (version 5.04 for Windows, GraphPad Software, San Diego, CA).

Data fitting was performed by nonlinear regression analysis using the software Prism, GraphPad Inc.

It is certainly possible to obtain correct values for these outliers by changing the initial values when performing the nonlinear regression, but the purpose of this research was not to optimize the models, but to test them in order to choose the model that performs best.

The normalization was performed by a nonlinear regression method (Lowess fitness) [ 48] to take into account the intensity dependence of the fluorescence bias.

Data fitting was performed using nonlinear regression in Prism4 (GraphPad, San Diego, CA, USA).

For each discounting/decay model, we performed a nonlinear regression in order to estimate a free parameter in the model.