Sentence examples for modeling approach introduced from inspiring English sources

The novel modeling approach introduced here provides for various types of livelihood portfolio analyses at different scales of social aggregation.

A constellation like this can lead to problems with the reduced order modeling approach introduced above.

Future neuroimaging work could use the modeling approach introduced in this article to identify the neural and neurochemical basis of attentional selection and saccadic eye movements, in relation to probabilistic expectancies.

We transformed and extended the continuous-time model developed by Rosà and Pugliese [29] for TBEV into a discrete-time model to include the seasonal life cycle of the tick, using the multiple matrix model approach introduced by Sandberg et al. [26] for Lyme disease.

The use of different modeling approaches introduces gaps among scales.

Considering the interfacial layer as consisting of breaking connections between different materials of a heterogeneous structure, when loaded above their connective strength, the model approach introduces a damage type formulation, reflecting the state of delamination.

Section "A mixed model approach" introduces the specific mixed model in which the log proportional hazards measure forms the outcome measure, the study factor is a normally distributed random effect (to cope with unobserved heterogeneity), and other observed covariates (such as gold standard or diagnostic test variation) are considered as fixed effects in the mixed model.

Thirdly, based on the implicit calculus equation modeling approach, we introduced the concept of fundamental solution on fractal and consequently defined the fractal differential operator to describe various mechanical behaviors of fractal materials.

An exactly reduced version of the crosstalk model was generated using the reduced order modeling approach we introduced above.

Then, models and modeling approaches are introduced, which are used to describe mass flows with equations of motion and continuity.

Using this efficient modeling approach, we then introduced the framework for performing perturbation experiments on gene regulatory networks.