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Computational thermodynamics approach based on experimental values is applied to evaluation and optimization of the LiNO3-RbNO3-AgNO3 system and its subsystems in this work.
This profile is approximated by a polynomial which is based on experimental values of reduced velocity bounds for vortex lock-in as well as the reduced velocity at the peak lock-in amplitude.
While the Z-scale descriptors introduced originally by Wold [1] are based on experimental values, we have applied computational amino acid descriptors [2] derived using the CoMFA method [3] for building QSAR models, which are amenable to general amino acids.
In a similar fashion the maximum flux on glutamate uptake was set to ~0.027 [ 67], on proton symport-based proline transport to ~0.0036 [ 68], on ATP-dependant proline transport to ~0.020 [ 68], for aspartate uptake to ~0.0020 [ 69], and on threonine uptake to ~0.01 (approximation based on experimental values for the other transporters).
Based on experimental values at 37°C (Table 1), start of lysis was set to 12.5 min; end of lysis to 24 min and eclipse was set to 8.5 min for the ancestor (Anc) and 9.8 min for the mutants (Muts).
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The independent variables were coded at three levels and their actual values based on experimental results.
Numerical simulations of the system, using parameter values based on experimental data obtained from literature, are presented.
Two distribution systems, the tanker system and the umbilical system, were analysed using two discrete event simulation models and involving parameter fitting values based on experimental data.
In the first cultivation, the wild-type strain was grown using a 60.04% 1-C-, 20.31% U-C and 19.65% C-fructose isotopomer composition (values based on experimental weight of dry substances adjusted for chemical impurities).
For the mutation rate, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu = 10^{-6}$$\end{document} μ = 10 - 6 was chosen as a plausible value based on experimental estimates [ 20– 23].
Once the objective function is selected, most regression strategies consist of weighting the objective function by pre-selected values, usually based on experimental error estimates (i.e. standard deviation), convering the problem into a traditional weighted least squares minimization.
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based on personal values
based on democratic values
based on experimental tests
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based on experimental parameters
based on feminine values
based on social values
based on experimental approaches
based on American values
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based on moral values
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based on perishable values
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