Sentence examples for by the model while from inspiring English sources

The Lagrangian-averaged α-model closure did not perform successfully for forced 2D isotropic Navier Stokes: small-scale filamentation is only slightly reduced by the model while small-scale roll-up is prevented.

Dependence on dispersed flow rate could be very nicely predicted by the model, while a better insight was obtained on the internal pressures and flow velocities during droplet formation.

They chose to study aftershocks because there are thousands of them, and their statistical theory needs lots of data to work properly.Sure enough, aftershocks were found to congregate in the regions of increased stress as predicted by the model, while in the regions of reduced stress (called "stress shadows") the number of aftershocks was very small.

Based on these statistically significant factors, a first order polynomial model describing As III) and HA photocatalytic oxidation was constructed and a very good agreement was obtained between the experimental values and those predicted by the model, while the observed differences may be readily explained as random noise.

Accuracy estimates the correctness of the model, and Precision measures the amount of accurate classification done by the model, while F-Score is determined from Precision and Sensitivity.

For wavelengths above 200 nm, the molecular absorption cross section and the quantum yield are calculated by the model, while below 200 nm, their values are pre-defined.

The performance of individual statistical models was gauged by their overall R values (corresponding to variance explained by factors in the model), while the impact of individual factors was measured by the regression beta (adjusted mean beta difference, Δ β, and standard error, SE).

We will see later that "mild underdifferencing" can be compensated for by adding AR terms to the model, while "mild overdifferencing" can be compensated for by adding MA terms instead.

Growth of Salmonella Typhimurium LT2 was described by the Baranyi growth model, while and exponential decay function predicted the internalization of bacteria in the cantaloupe flesh.

The obtained models with ten descriptors involved show good predictive power for the test set: a squared correlation coefficient (R2) of 0.7222 and a standard error of estimation (s) of 0.177 were achieved by the MLR model; while by the ANN model, R2 and s were 0.8658 and 0.130, respectively.

The bird is simulated by the SPH model while the structure is modeled with the traditional Lagrangian elements.