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Various design parameters of a CPE process have been estimated by developing correlations for dye solubilization and fractional coacervate phase volume with the operating conditions.
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The uncertainty of the mapped ACD estimates was estimated by developing a relationship between the mapped ACD values and the RMSE of ACD for those areas on Hawaii Island covered by the LiDAR data [21].
The uncertainty of the mapped ACD estimates was estimated by developing a relationship between the mapped ACD values and the RMSE of ACD for those areas on Hawaii Island covered by the LiDAR data [ 21].
Briefly, concentrations were estimated by developing a national inventory of emissions for 1999, which was then used as input to an atmospheric dispersion model (Rosenbaum et al. 1999) that estimated average concentrations for 1999 for each census tract in the United States.
Quitters' mortality risks for other causes were estimated by developing a function describing the decline in risk of death from all causes for quitters relative to smokers and applying the function to the probability of death from other causes for smokers.
This can be estimated by the equation developed by Noyes and Whitney.
The interfacial energy, σ, can be estimated by the model developed by Spaepen [19,20]: sigma =alpha frac{varDelta {S}_{mathrm{f}}T}{{left {N}_1{V}_{mathrm{m}}^{right)}^{1/3},} (3)where α is the structure-dependent factor, N l is Avogadro constant, and V m is the volume.
Estimates of the relative odds of HFRS associated with vaccination were estimated by using methods developed by Mantel and Haenszel (6 ), which are appropriate for matched designs.
Total testosterone concentrations were estimated by radioimmunoassay (RIA) developed by Repromed Laboratory (Dulwich, South Australia), which is sensitive for lower levels of testosterone down to 347 pmol/L.
The reaction kinetic parameters, rate coefficients and stoichiometric coefficients, as well as the mass transfer coefficient are estimated by nonlinear estimation with the developed novel reaction kinetic model.
The phenomenological kinetic parameters of the model are estimated by using our recently developed constraint-based, robust nonlinear optimization approach [1].
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