Sentence examples for modeling approaches such from inspiring English sources

The models, generated by KEGGtranslator with the here described method, lay the foundations for further modeling approaches, such as constraint-based models, tissue-specific models, or simply including kinetics to the models.

Simplified modeling approaches, such as cellular models and process-analogue experiments, are particularly useful for efficiently exploring alternative hypotheses and evaluating first-order controls on river avulsion and alluvial architecture.

Upon reviewing this report in addition to using the SIMULATE checklist, the readers should be able to identify whether dynamic simulation modeling methods are appropriate to address the problem at hand and to recognize the differences of these methods from those of other, more traditional modeling approaches such as Markov models and decision trees.

However, commonly used modeling approaches such as discrete element modeling (DEM), direct numerical simulations (DNS) lack simplicity and have been computationally intensive.

In addition to the experimental methods, modeling approaches such as pore-network modeling and empirical correlations have been developed for predicting relative permeability (Rajaram et al. 1997; Laroche and Vizika 2005; Sinha and Wang 2007).

More sophisticated modeling approaches, such as latent variables models as proposed in [55], could be more suitable to fit the observed contact patterns within households.

In contrast, LCA methods initially use a probabilistic modeling approach (such as finite mixture modeling) to identify the likely distributions with the data and the likely placement of individuals within those distributions.

RBF predictors in SCCS can be replaced by other modeling approach (such as improved intelligent algorithms, fractal models, and statistics models) as an alternative choice in different application situations.  .

The use of a spatially explicit land use change modeling approach, such as Markov-CA approach, provides ways for projecting different future scenarios.

Thus, a combined qualitative then quantitative conceptual modeling approach, such as the one adopted in this work, plays a crucial role in facilitating human comprehension of complex cellular mechanisms.

Despite these exciting advances, theoretical modeling using approaches such as Brownian adhesive dynamics can provide some insights into adsorption kinetics and the dynamics of adsorbed NPs but lacks specific details about the binding process [37, 38].