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We use Rasch measurement to construct an interval logic scale for patient satisfaction on hospital performance, utilize fit statistics to detect aberrant response pattern, and develop a visual representation on website, Web-KIDMAP, to overcome the drawback in traditional individual item-by-item box plots of disclosure for patient views on hospital service quality.
An optimization technique combined with a semi-expanding space grid digital simulation was utilized for fitting response curves obtained with the cell to estimate the parameters.
Conventional linear regression was utilized for fitting the curve.
Cargo beads were tracked by using custom-written software in Matlab (The Mathworks, Natick MA), which utilizes Gaussian fitting to determine the xy position of the bead.
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.
A mixed function obtained by linear superposition of these factors is utilized to fit the bridge dynamic response.
An LR model with varying moving window is utilized to fit the residuals (i.e., the global degradation trend).
A solid diffusion model with concentration-dependent diffusivity (SDCDD model) is utilized to fit the experimental uptake curves (UCs) and concentration profiles (CPs).
The dual-site Langmuir–Freundlich (DSLF) model was also utilized to fit the absolute adsorption isotherms of pure gases from molecular simulations.
These two variables are then utilized to fit the dynamic stiffness and damping of the device for extracting its system-level parameters.
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