Sentence examples for model coefficients used from inspiring English sources

A method for improving the force field model coefficients used in the MD is included.

The model coefficients used for prediction of 6-month mortality were adjusted for the 28-day mortality outcome.

The maximum degree and order of the QD model coefficients used for the inversion were set to (K_{max }=45) and (L_{max }=5), leading to a total of (N_{q} = L_{max }(L_{max }+2) + (K_{max }-L_{max })(2L_{max }+1)=475) complex coefficients for each wavenumber pair.

Due to the complexity introduced by these interactions, the main results are presented graphically (Fig. 1; model coefficients used to produce this figure can be found in Supplementary Table 2).

This paper presents the evaluation of uncalibrated E∗ values obtained from NCHRP 1-37A aNCHRPHRP 1-40D and compares the results to two calibrated techniques; an exponential fit of uncalibrated model outputs, and updated model coefficients using nonlinear multiple regression.

Specifically, we model these key parameters spatio-temporally by tensor product of B-spline expansions, and estimate the model coefficients using two types of GNSS data, namely, ground-based two-frequency GPS observations of total electron content and electron density profiles retrieved from ionospheric GPS radio occultation measurements acquired by the FORMOSAT-3/COSMIC mission.

The geocentric components of the geomagnetic field in the northward, eastward, and radially inwards directions (X, Y and Z) are obtained from the model coefficients using Equation 1 and by taking the gradient of V in spherical polar co-ordinates X={frac{1}{r}}{frac{partial V}{partial theta }},quad Y=-{frac{1}{ rsin theta }}{frac{partial V}{partial phi }},quad Z={frac{partial V }{partial r}}.

Future work entails regular updating of ADNEX model coefficients using newly collected data, and monitoring of model performance.

We constrained model coefficients using the lag number to fit a polynomial function (Schwartz 2000; Zanobetti et al. 2000) to reduce collinearity resulting from correlated levels of precipitation on days that are close together in time.

Exploratory analyses using pedometer data from a subset of participants in this study who reported at least one implausible steps/day value suggest this may be true as differences between model coefficients using full and excluded datasets were magnified for waist circumference, %BF, and fat mass (but not for BMI) in this subset compared to the full set of participants (data not shown).

In addition, the only difference among the Albrecht, Dalton, Meyer, Rohwer, and WMO models is coefficients used in each model (Table 2) as well as the only difference among the Brockamp Wenner, Mahringer, and Trabert models is also coefficients used in each model (Table 2).