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Christensen Anderson Marasteanu (CAM) model is utilized to fit master curve to the predicted E∗.
A numerical model was utilized to fit thermogravimetric data to obtain thermal degradation kinetics.
At this point, least-squares method is utilized to fit the slope n m+1 in the low-frequency part.
An LR model with varying moving window is utilized to fit the residuals (i.e., the global degradation trend).
A mixed function obtained by linear superposition of these factors is utilized to fit the bridge dynamic response.
A solid diffusion model with concentration-dependent diffusivity (SDCDD model) is utilized to fit the experimental uptake curves (UCs) and concentration profiles (CPs).
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Because of the additional degrees of opportunity and the adaptability which can be utilized to decisively fit the test information much more superior to anything in the integer order modeling, the concept of fractional calculus has become an alternative mathematical method to describe models with non-local behavior.
Numerical simulation was utilized to generate sample paths fitting the residence time distributions (RTD) of the system.
See Additional file 3 for Matlab scripts utilized to estimate the best fit parameters for each model.
In large cannula sizes, use of a tapered stainless sharp trocar (3 mm) is utilized to permit a snug fit of the aspiration cannulas into the desired space for cannulas of >3 mm OD.
The exponential fit is utilized to infer the daytime electron density change in the polar ionosphere during solar flare events.
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