Sentence examples for power of computational from inspiring English sources

Aided with the power of computational capacities associated with computer technology then available, pioneering cropping systems simulations took place in the second half of the 20th century by several research groups across continents.

The power of computational tools to answer biological questions was immediately evident.

By combining the power of computational techniques with psychophysiology studies, researchers can generate far more in-depth data analyses and a greater understanding of the processes underlying behavior.

The ever increasing power of computational architectures allows to investigate reactive phenomena in complex biomolecular systems and environments.

Finally, we present a selection of theoretical studies reported over the last two years to illustrate the descriptive and predictive power of computational methods.

The approach and computational models developed in this book will allow the reactor engineer to harness the power of computational flow modeling for better reactor engineering.

However, here again, few computer scientists or computational mathematicians have been involved in efforts to bring the power of modern computational methods to bear, and there are important opportunities for those who would try.

The remaining questions concerning the relative power of different computational resources are fundamental unsolved problems in the theory of computation.

To address the conjecture of using S2FST as a tool to detect selection and the power of our computational approach, we used simulations with a single selected site positioned among 261 markers along a simulated 2.61 Mb-long chromosome.

Finally, our analysis allowed us to predict and subsequently validate an association between miR-128/27b and the protein kinase WEE1, a protein of central importance in cellular proliferation and survival, demonstrating the potential power of this computational approach.

Visual check indicates the accurate representation of the experimental data by the models and the predictive power of the computational model for pharmacokinetic phenotypes.