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Data modeling with the FSCR method provided maximum effect parameters (asymptotes) and dose threshold parameters for each chemical and for the mixture.
The estimates for the maximum effect parameters for the single chemicals clustered into three groups, with maximums at 14, 31, and 50% of control (Table 4).
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Note that the dose response model for OCDF was reduced to background (100%) because the slope parameter was not significant (p = 0.84) and the maximum effect parameter was not different from 100%.
The simultaneous fit of the additivity model and the mixture model accommodates a common maximum effect parameter, which was estimated to be 26.5 (i.e., 26.5% of control; Table 1).
The proof showed that R0 was equivalent to the maximum drug effect parameter in the earlier application when the maximum inhibitory or stimulation effect Emax = 1.
In both the cultivars ACS activity and ethylene increased up to 3.0 mM ethephon, but 1.5 mM ethephon caused maximum effects on photosynthetic parameters.
Conclusion: The maximum effect of prone positioning on selected parameters seems to be obtained after 20 h of therapy.
The function g comprised three parameters: 1) time to maximum effect on the development of diabetic complications, 2) the rate of increase in the effect until the maximum is reached, and 3) the rate of decrease in the effect after the maximum (Figure 3).
Pharmacological parameters (concentration producing 50% of maximum effect or EC50 and maximum effect or Emax) were calculated from these non-linear fits.
The minimum and maximum rates of non-coverage for the fixed effect parameters, γ00, γ01, γ10, and γ11, range from 3%and7%7%.
The degree of enzyme induction can be characterized by the parameters such as EC50 (concentration causing half-maximal effect) and Emax (maximum effect) determined in in vitro studies.
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