Sentence examples for models of differing from inspiring English sources
A Bayesian parameter estimation approach is developed for the estimation of joint probability distribution functions for colloid and bacterial fate and transport model parameters describing breakthrough curves (BTCs) obtained through porous media column studies, and is applied to data involving different ionic strength solutions to fit models of differing complexity.
Six biogeochemical models of differing complexity were coupled with a pre-calibrated two-dimensional hydrodynamic model of Cell 4 and tested against field data.
In the literature, hydrological models of differing complexity are proposed for estimating the water resources of semi-arid catchments, and also to evaluate rainfall data sets.
After exploring parameter importance using symbolic regression, we evaluated a set of candidate models of differing complexity according to the number of season-specific parameters.
Under in vitro models of differing environments, M. tuberculosis alters its metabolism, transcriptional profile and rate of replication.
Depending on the chosen regularization strength κ, one obtains models of differing sparsity (Fig. 4 a).
In light of recent data showing the role of Nod2 in inducing tolerance to bacterial ligands in vitro and the data in this report showing the in vivo results of Nod2 deficiency in a slowly progressing arthritis, we believe that a model of differing roles of Nod2 in early and prolonged infection is a likely mechanism to reconcile opposing studies on the role of Nod2 in inflammatory responses.
In the model, cavities of differing depth and diameter have different ejection rates.
In the acoustic study, which comprised only theoretical modelling, discrimination of differing cargo widths and between solid versus empty cargo trailers was possible using the transmission coefficient.
The accuracy of MDR is demonstrated on linearized models of nanotubes of differing diameter and chirality and with different sized MVDs.
Sensitivity analyses are commonly used to assess uncertainty in economic models by evaluating the effect of differing model parameters, such as the utility values, costs, and efficacy, on the results of the economic analysis.
