Sentence examples for model predictions also from inspiring English sources

The model predictions also agree closely with the experimental values of rise velocity reported in literature.

For the parametric conditions investigated, model predictions also suggest that particle sizes near 0.01 µm and 10 µm will result in the least inter-subject variation in alveolar deposition.

Model predictions also highlight the significance of active bed width, rather than bed shear stress, as a fundamental ingredient in the prediction of the bed load rate and therefore, as an important morphological property to be modelled.

Model predictions also need to incorporate changes in the avian predator community as they are typically the dominant factor affecting ptarmigan survival throughout the year [ 23, 32, 33].

The mean model prediction also appears to be quite close to many of the means reported in the literature.

The pseudo R reduced from 0.37 for the pre-matching model to 0.001 after matching, indicating an overall improvement in covariate balance, and the p-value for the likelihood ratio test for overall model prediction also changed from highly significant (p < 0.001) to non-significant (p = 1.000).

The model prediction also underestimated the biofilm formation for the low iron concentration (i.e., 0.05-fold of the reference iron concentration), which may be due to the lack of the regulation in the model for microbial metabolism which is controlled by quorum sensing signaling (e.g., the pqs quorum-sensing mentioned above).

Because the model includes a "lagged" measure of presidential approval (that is, presidential approval in the previous quarter), the model's predictions also sometimes lag the president's actual approval rating by a quarter.

Comparisons between experimental data and model predictions were also reported.

The model predictions are also compared with available empirical correlations.

The model predictions were also compared and generally are in good agreement with multiple published isobutene pyrolysis data sets that were measured under significantly different conditions.