Exact(2)
The coefficients (95%CI) for single independent variables from the model containing time component.
We compared a model containing time period (either month or year) as a fixed effect and all random effects described earlier to a model containing the same fixed and random effects, but which allowed clonal and subline variation to differ by time period using the varIdent function in the nlme package (Pinheiro and Bates 2000).
Similar(57)
The single coefficients (95%CI) of the main independent variables from the modeling containing time components.
Remark 2. It is noted that we construct a novel Lyapunov functional here as defined in (20) since the considered model contains time-varying and distributed delays and reaction-diffusion terms.
It must necessarily incorporate thermodynamic relations to describe species concentrations at reacting interfaces, but, unlike thermodynamics, kinetic models contains time in its equations, and can thereby take into account kinetic constraints that may favor one path, over another.
The speculative derivation of the model constitutive equation containing time derivatives of stress and strain of different orders is given.
When fitted individually with the model containing only time and group, none of the micronutrients was statistically significant.
In a mixed-model analysis with time, group, and the component score as the independent variables, the effect of the factor scores was not significant [ F 1, 295.3) = 0.03, p = 0.863], and the variance accounted for was very similar to that for the model containing only time and group.
The final model thus contained time and group by time effects plus significant covariates.
Consequently, our model contains two time scales: 0 1 and 1 3 h (marked as 1 and 3, respectively), denoting the time intervals after HGF stimulation, during which the reactions can be switched on the earliest.
The resulting model contains one time constant each for micro- and mesomixing.
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