Sentence examples for predictions we concluded from inspiring English sources

By combining polarization, internal deuteration, and matching against DFT predictions, we concluded that the shifting bands above 2490 cm 1 corresponded to vibrational modes dominated by O3 D and O6 D stretching.

Taking into consideration data for all promoters and comparing them with our computational predictions, we conclude that our in silico approach has some merit.

From the obtained model predictions, we conclude that the extent of the disease as well as the time delay between tumorigenesis and disease onset strongly depend on the physiological features of the host.

For pretraining before actual prediction we concluded to use 800 epochs for MLP and QNU using Levenberg-Marquardt adaptation and 400 epochs for QNU using gradient descent adaptation.

From our prediction, we conclude that the TF binding sites predicted in scd5 gene were very similar to these of scd1 gene, suggesting that the regulators may also be similar between two scd genes.

In any case, based on a sound out-of-sample prediction, we conclude that aggregate migration potential is modest and that fears of mass migration from the EU's Eastern neighbors and Croatia are unjustified.

For applications requiring spatial prediction methods, we concluded KED is more useful if local accuracy is important, but SGCS is better for indicating global pattern.

Considering that the original miRNA binding data already contain some prediction errors, we conclude that our method is robust to the false positive predictions in the predicted miRNA binding affinity data.

Based on the simulation results and the obtained prediction equations, we conclude that a high number of drones is needed if full user coverage is required in the considered city center.

Therefore, we concluded that our prediction model clearly explained the SEM of PME compliance in the low SDRT group.

Thus, we concluded that the prediction of DFS rate via the ratio of TOP2B/ TOP2asas opposed to that of TOP2B alone is more accurate, and maximises the difference between the two patient populations (12.9 vs 5.2) in the univariate analysis.