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The experimental data was tested by using artificial neural network (ANN) technique and was in a good agreement with estimated data.
The experimental data was tested by using artificial neural network (ANN) program and was in a good agreement with the estimated data.
Thermodynamic consistency of the vapor liquid equilibrium data was tested by means of Herington semi-empirical method, and the vapor liquid equilibrium data were correlated with Wilson, NRTL and UNIQUAC activity coefficient models.
The assumption of normality of the data was tested by Shapiro-Wilks tests.
The homogeneity of the station rainfall data was tested by the R-based RHtests_dlyPrcp software (Wang and Feng 2013).
The data was tested by varying the number of communities formed by using the infomap community-detection algorithm on the data; for each set of communities, we tested by varying the α value.
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The reliability of kinetics parameters calculated from TPR data is tested by comparing calculated and experimental non-isothermal data.
The internal consistency of the survey data are tested by computing Cronbach's alpha.
Here, the applicability of SVD to experimental crystallographic data is tested by analyzing 30 time-resolved Laue data sets spanning a time range of nanoseconds to milliseconds through the photocycle of the E46Q mutant of photoactive yellow protein.
For comparative analysis of immunogenicity, data were tested by one-way analyzes of variance (ANOVA).
Data were tested by one-factor ANOVA with Tukey's post-hoc analysis or Student's t-test.
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