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Doubling times were determined by mathematical regression using GraphPad Prism 4 software (GraphPad Software Inc, La Jolla, CA).
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Keeping this idea, we have approximated the results by matching the bandwidth fluctuation (obtained by regression) using several mathematical functions.
Response surface methodology based on a central composite rotatable design with three parameters, five levels, and 20 runs, was used to conduct the experiments and to develop the mathematical regression model by using of Design-Expert software.
Sample 3 was then dichotomized, and logistic regression used to test association of the 10 SNPs and the SNP-set score with low mathematical performance.
In this study the specific energy absorption (SEA) and mean crushing force (MCF) are taken as the objective functions by using mathematical regression analysis.
They used mathematical regression analyses to calculate mutation rates for selected bacteria, and they coded computer programs in Java to compare DNA sequences from newly isolated antibiotic-resistant bacteria.
The fitted results showed good agreement with the FE analysis results and experimental results, suggesting that the mathematical regression model may be directly used in a real-time system to predict characteristics of different brushes under varying operating conditions.
Using a simple mathematical regression model, it is shown here that age-specific counts of basic cognitive units (surrogate of neurons or synapses) in the normal population can be estimated from Alzheimer's incidence rates.
The RSM optimization process involves the following steps: (1) performing statistically designed experiments, (2) estimating the coefficients of a mathematical model using regression analysis technique, and (3) predicting the response and checking the adequacy of the model.
Additionally, the novel textural features were used to design a mathematical regression model for providing a quantitative estimation of OA severity.
The results showed that the experimental data could be fitted to a quadratic polynomial model using correlation analysis of the mathematical regression model.
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