The preprint structural modelling is based on a number of time-dependent mechanical properties, including the compressive strength and the Young's modulus.
Therefore, a number of time-dependent renewal models have subsequently evolved (Utsu 1984; Parvez and Ram 1997; Matthews et al. 2002; Tripathi 2006; Yadav et al. 2008, 2010; Working Group on California Earthquake Probabilities 2013; Pasari and Dikshit 2014a, b).
The method is further applied to simulate a number of time-dependent problems including the Kelvin–Helmholtz instability in a two-component rotating condensate and the motion of quantised vortices in a 3D condensate.
We have shown for the well understood model system of the photosynthetic apparatus of the purple bacterium Rhodobacter sphaeroides that the kinetic parameters for a dynamic model of a metabolic system can be reliably determined by simultaneously fitting the results from stochastic dynamics simulations against a number of time-dependent experiments.
Bioenergy introduces a number of time-dependent components to both the attributional and consequential analysis, some of which are handled in scenarios, others with ad hoc annualization, and still others not at all.
k is the total number of experimental data points and n is the number of time dependent variables.
A number of time- and concentration-dependent gene expression changes were identified in both cell lines in response to BaP exposure (Table 1), although the effect of these parameters on the gene expression profiles differed between the MCF-7 and HepG2 cells.
The rule was revised a number of times thereafter, becoming less dependent on St. Francis' rule.
The generic format for such a representation may be written as (1) X ˙ i = ∑ V ij + (X 1, …, X n ) − ∑ V ij − (X 1, …, X n ), i = 1, …, n, where X i denotes the concentration or amount of a variable or variable pool and n is the total number of time-dependent variables in the system.
The number of time-dependent basis functions and the number of eigenfunctions are specified by the user.
This gives the model: (11) where D is the number of time-dependent covariate effects and s(x; γ i ) is the spline function for the i th time-dependent effect.
