Sentence examples for models as a consequence from inspiring English sources

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Coefficients in the formula are based on data obtained from at-sea measurements and from tests of structural models; as a consequence, the formula has been found to give predictions that seem to be in satisfactory agreement with reality.

The collected data are utilized for the inexpensive data-driven determination of bulk material non-linear constitutive behavior models as a consequence of generalized loading through parameter identification/estimation methodologies based on the inverse approach.

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Prealbumin is increased in the obese mouse model as a consequence of stabilization of prealbumin by retinol binding protein 4 (RBP4) secreted by adipocytes.

In our model, as a consequence of using DSTC relays in the FDSTC protocol, the synchronization errors have large impacts on the performance of the relay-destination link and therefore reduce the performance of the overall system.

It is found that the united-atom model of CH4 overestimates the adsorption of CH4 in all these adsorbents compared to the 5-site model, as a consequence of the enhanced 1-site CH4-adsorbent potential energy.

We investigate under which conditions one can recover an essentially scale free spectrum of primordial inhomogeneities, and which are the dominant deviations that arise in the model as a consequence of the introduction of the collapse of the quantum state into that scenario.

We found a good fit with a quadratic function and entered a quadratic term into the model as a consequence.

Then, we wonder whether Oct-1 could account for other hallmarks of aging focusing on two which were also altered in our experimental human model as a consequence of prelamin A accumulation: cellular senescence and autophagy.

This was not the case, however, when the "true" model was not among the candidate models because the double BOOT procedure tended to give less weight to the true model as a consequence of the second bootstrap layer moving some of the weight from the true model to other plausible models.

Conversely, in the 'noisy switch model', as a consequence of overlapping gene expression distributions (a, b, c, and d) information about signal intensity is permanently lost: the cell can distinguish ON/OFF (signal identity), but the expression of a target gene cannot be fine-tuned to the stress intensity.

Although the sensitivity for both proposed models decreased as a consequence of the higher precision, both proposed models had higher sensitivity than the FS model, demonstrating that our models performed better.

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