Sentence examples similar to suitability of our modelling from inspiring English sources

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We also outline the suitability of our models to support facial landmark detection algorithms.

To illustrate the suitability of our model, we focus its analytical study into its application to recent experimental studies of in vitro viral evolution.

The suitability of our model to study non-linearities in these devices is illustrated by employing it to calculate and analyze intermodulation products using the Volterra series method.

The fractographic analysis on the blends with the above two types of morphologies provides experimental evidence for the suitability of our models for these morphologies that emphasize the roles of rubber particle spatial distribution and matrix ligament thickness.

The coefficient of determination is very close to unity, which shows the suitability of our model to predict the compression behavior of granular soils for a wide range of stresses.

These findings confirm the physiological distribution of transgenic CTGF and support the suitability of our models for the analysis of CTGF function in the heart.

Several verification tests validated the suitability of our model specification.

The values obtained for each model are shown in Tables 2, 3, 4, 5 and 6, and guarantee the suitability of our models and the-goodness-of-fit.

The suitability of our model fitting without the kurtosis term can also be revealed by the high percentage of voxels where R is above 0.9 with the IVIM model (~95 % in gray matter and ~85 % in white matter).

Data from transcriptomic profiling of patients [ 10] receiving ADT LHRHH agonists with anti-androgen flare protection [ 11]) for approximately 22 weeks were compared with our cell line model to determine what molecular changes were common to the two datasets, and to establish the suitability of our model system for studying drivers of developing androgen insensitivity in vivo.

To test the suitability of our model under more realistic assumptions, we used an empirical Bayes approach in which the posterior probability distribution of time since insertion is conditional on a simulated number of mutations and a prior distribution of possible insertion times.

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