Sentence examples for model we utilized from inspiring English sources

As an initial velocity model, we utilized a simple 1D P-wave velocity model with the Vp/ Vs ratio fixed to 1.73 (Fig. 5).

Similar to the study of (Everett et al. 2003), in order to construct the model, we utilized two types of data, namely, (1) geometry of each boundary and (2) lateral distributions of conductivity within each layer.

Considering the fitness and adjustability of the surface-based model, we utilized Rhino 3D Version 5 for the main modeling environment; this is recognized as a typical non-parametric software.

To determine if the UPR is activated in our tauopathy model we utilized a UAS-Xbp1-EGFP reporter system developed by Ryoo et al. [22].

In order to test the ability of LNP-Bry to activate latent virus in a primary cell model we utilized the SCID-hu (Thy/Liv) mouse model for HIV latency [7], [37], [38], [39], [40], [41], [42].

In order to unify the ITR and Rep elements involved in specificity into a single model, we utilized the chimeric Reps separating region 1 and region 2 along with the chimeric ITRs separating the nicking stem and spacer.

In this paper, as a sample network model, we utilize the network model in [19, 21] (in alignment with [16, 24]), which is based on experimentation and analysis of multi-hop 802.11 network deployments where all the nodes in the network are in the same contention neighborhood.

In our method, this is achieved exclusively based on the analysis of a skin probability map obtained using a global skin color model (we utilize the Bayesian classifier here; however, other skin color models may also be exploited for this purpose).

To develop prediction models, we utilized likelihood cross-validated penalized logistic regression models which implemented either an L1 penalty (Lasso) [22] or an L2 penalty (Ridge) using the R package 'penalized' [23].

To examine the molecular signatures and developmental defects in animal cohesinopathy models, we utilized cohesin morphant zebrafish embryos.

To externally validate these models, we utilized the North American DQ2.5+ individuals (n = 1,237, 1,094 cases and 143 controls) (Fig.  3a).