By using the fitting software it has been determined that in Co-PSi-n structures, Co is uniformly distributed along the multilayer, and the oxygen concentrates mainly near the surface.
In this way, we can write QRb by using the fitting parameters A(r) and B r) given by the FER approximation for LDPC-coded BPSK, and thus we have Q Rb = 1 − A ( r ) exp − 1 2 B ( r ) 1 − α α + 1 γ SR 2 rN.
The EEM parameters for carbon, nitrogen, oxygen and hydrogen were derived by using the fitting procedure described by Njo et al.[14] The EEM parameters for the organic compounds were optimised to reproduce the MKS charges for proteins as reported by Cornell et al.[15] Fig. 1 shows the reproduction of the MKS protein charge distributions using the optimised EEM parameters (Table 1).
The whole domain is divided into a number of subdomains and by using the fitted curve or plane at each subdomain value of the objective function is calculated.
By using the fitted stiffness and damping of the seat model, and a previously determined dynamic model of the human body, the seat transmissibility is predicted mathematically.
By using the fitted DSLF model parameters and ideal adsorption solution theory (IAST), we further predicted the adsorption separation of N2 CH4, CH4 CO2, N2 CO2, H2 CO, H2 CH4 and H2 CO2 binary mixtures.
To use the model specified by Eq. (2) to forecast seismicity, the following technical problems need to be solved: (1) estimating background seismicity rate, (2) estimating the model parameters (A, α, c, p, D, q, γ), and (3) forecasting by using the fitted model.
The error of (varepsilon_{i}^{*curve} (v_{i} (t))) caused by using the fitted wind power transformation (f_{i}^{curve} ( cdot )) to replace (f_{i}^ ( cdot )), can be described as: varepsilon_{i}^{*curve} left( {v_{i} (t)} right) = f_{i}^ left( {v_{i} (t)} right) - f_{i}^{curve} left( {v_{i} (t)} right) (16).
We then made predictions on the held-out cases by using the fitted models; receiver operating characteristic (ROC) analysis was used to estimate the area under the curve (AUC) for the held-out cases under each of the 4 models.
We also used an adapted "best subsets" approach, by which variables of particular interest were forced into the initial equation and the influence of key variables was tested by using the fit of various possible equations.
Aim: we aimed to systematically review drugs to treat lower urinary tract symptoms (LUTS) regularly used in older persons to classify appropriate and inappropriate drugs based on efficacy, safety and tolerability by using the Fit fOR The Aged (FORTA) classification.
