Sentence examples for modeling approach took from inspiring English sources
Using a MATLAB code, numerical simulation of a 200 × 200 lu2 domain with 47 % porosity for up to 40,000 ts simulation time using Lattice Boltzmann modeling approach took about 1 h to complete.
As compared with the static modeling approach, where patients were categorized into two groups according to their final treatment status (received Tx1 only versus Tx2), the time-varying modeling approach took the dynamic process of patients' change of treatment status into consideration, which reduced the bias of the survival benefit associated with Tx2.
This model approach takes repeated falls per subject into account and allows for further consideration of random effects as cluster (responsible physiotherapist) and region.
Data clustered by litter (fetal/placental weights, arterial remodeling) that violate the assumption of independence of data points were analyzed using a mixed-model approach taking the fixed effect of parental cross and the random effect of litter variability into account (Barber and Pollard, 2003, Kieckbusch et al., 2014).
In the second design stage, a validated ligand-based pharmacophore modeling approach was used, taking the newly available inhibition data of an initial series of compounds into account.
The exposure assessment effort should take advantage of modeling approaches to provide estimates for the entire cohort.
Instead of questioning the parsimony of the Dual Process model, the approach taken here has been to challenge the existence of one aspect of this model's support: the relatively small repetition priming effect that has had an influential contribution to our understanding of recognition memory.
Unlike previous models, this approach takes into account the pressure-dependent time evolution of the thermocompression bond formation.
Unlike the other typical models, our approach takes a step further: the end of execution of a node A does not mean that the successor nodes A' (denoted A′≻ D A), that depend on A, will be immediately triggered (like it usually happens).
The models and approach taken here have been described previously [ 39, 63].
Using topic models, our approach takes an input set of genes, Gi, and generates relevant topics, T, associated with subsets of genes based on a constructed corpus.
