Sentence examples for models successfully captured from inspiring English sources

Exact(2)

The statistical models successfully captured a large amount of variability in the biomarkers and depicted the important biological relationships between the biomarker and the effects.

Despite using these common parameters, the models successfully captured the variations in time-course activation dynamics, and the simulation results were fairly consistent with the experimental results for all three H1299 cell derivatives.

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The 3D RVE models successfully capture the macroscopic tensile stress strain behavior of the ductile/brittle laminates at varying constituent volume fractions and the corresponding underlying micromechanisms of deformation and failure.

With no calibration, the screening model successfully captured the reported magnitude of MTBE contamination of at-risk community supply wells.

Quantitative match of model simulations with experimental data for various substrate enzyme ratios also indicated that this model successfully captured the cellobiose inhibition effect.

The model successfully captured the observed annual trend of ice cover timing, although the model overestimated the length of ice cover period (15 days).

Bonded-particle DEM modeling successfully captured the failure patterns observed in anisotropic rock in which weak planes play a significant role.

When applied to Beatrix Bay, an intensive culture embayment in the Pelorus Sound of New Zealand, the model successfully captured main features of the observed system behaviour.

The model successfully captured the experimental trend that showed a higher discharging performance with increasing number of CP layers used for each electrode.

This model successfully captured the qualitative behavior of typical stories on Digg and how that behavior depended on the number of fans of the story's submitter [2, 9].

The simulation model successfully captured all dynamics aspects of the benchmark missions, and convergence studies are presented to illustrate the sensitivity of integrated LOM results to the number of Monte Carlo trials.

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