Sentence examples for using the aforementioned model from inspiring English sources

In Part II, a binary Al Cu alloy casting is simulated using the aforementioned model.

If the power was ≥ 90%, a 90% (α = 0.05) CI for AUC0-inf true GMR and point estimate for Cmax true GMR were calculated using the aforementioned model.

From a comparison of predicted and observed miscibility, it is concluded that this ternary system can be described using the aforementioned model.

The rationale for the present study was to examine if CGRP receptor blockade by MK-8825 can prevent the increase in neuronal activity induced by nitroglycerin using the aforementioned model of spinal trigeminal recordings.

Using the aforementioned model, we compute the fraction (a (i,j /mathrm{model}(i,j)) (see Table 2) in order to see how qualitatively strong the links between each pair of cities are, i.e., how people from each origin are attracted to each destination beyond just the effect of scale.

This co-occurrence was also implied using the aforementioned model (as bacteria belonging to these taxonomical groups displayed the highest estimated fold change differences being more numerous in diarrhoeic piglets compared to control piglets (Tables  2 and 3)), thus, this was further investigated.

It gives an opportunity to obtain attenuation statistics at nearby locations using the aforementioned models.

Zheng et al. [21, 22] used the aforementioned model to control the engine mount system with concurrent consideration of random road input and engine excitation.

To investigate whether the association between controller medication use and use of CAMs was different across asthma control levels, we fitted separate regression models using the aforementioned logistic model within each level of asthma control.

Proposals for causal node orderings using the aforementioned Mallows model may be obtained by sampling using a repeated insertion model as described in [ 21].

The data set was randomly divided into two subsets consisting of an internal set (80%) and an external set (20%) in which the former set was used to constructing predictive models as full training and tenfold cross-validation (tenfold CV) while samples in the latter set was predicted using the aforementioned trained model.