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Central composite experimental design was applied to optimize method parameters, such as pH, adsorption time and amount of activated carbon.

The results provided logical justifications in selecting method parameters such as column temperature, detection wavelength, injection volume, and sample solvent, etc.

The optimization of critical method parameters, such as the SPD reaction, was achieved using statistical experimental design and multivariate data analysis.

On the basis of earlier optimization studies carried out using one- factor-at a- time (classical) method, parameters such as extraction temperature, time and extract concentration were taken as independent variables for the optimization by RSM using Box Behnken design, as described earlier in Sood et al. (2015).

After developing and optimising the method, parameters such as linearity, repeatability, matrix effects and carry-over were studied.

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To overcome the inefficiency of the enzymatic method, we adopted the explant culture method and compared the two methods for parameters such as characteristics of MSCs, the level of bFGF as a representative growth factor from UCs, and MSC gene expression profiles.

Using a quantitative analysis method, many parameters, such as transition curvature and transition width, are estimated from the hrMFM image.

In this method, the parameters such as the viscosity of the ceramic slurry, the extrusion speed and the die temperature need to be optimized for a high performance.

For electro-oxidation method, three parameters such as current density, pH and supporting electrolyte were taken into consideration to determine their effects in COD reduction.

This method uses parameters, such as base shear, stiffness, drift, rotation of an element, energy, and, in some cases, dynamic characteristics of a structure (mode shape and natural period of vibration) to calculate the state of damage using mathematical functions.

These mathematical models have been solved with differential methods, obtaining parameters such as tension force, torque, stress, safety factor, stability and elongation.

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