Sentence examples for predictions at different from inspiring English sources
The variability in model predictions at different grid resolutions contributes to 1 3.8 ppb and 1 7.9 μg m−3 differences in the projected future-year design values for max 8-h O3 and 24-h average PM2.5, respectively.
Finally, our results are predictions at different pressures.
We also compared a multi-scale gradient map with a typical binary map to demonstrate the uncertainty in damage predictions at different spatial scales.
Because the influence of moisture on microbial processes in soil generally depends on temperature, we collected data and tested predictions at different temperatures.
Our sample contained 56 patients with a probability of being an FH case between 0.99 and 0.90, 18 patients between 0.89 and 0.80, 16 between 0.79 and 0.70, and the remaining 10 from the probability ranges between 0.69 and 0.60 to perform a systematic chart review to assess the predictions at different thresholds.
The plotted time series reflect the different correlations between measurements and model predictions at different observatories.
Prediction at different information levels, i.e., attributes, entities, and composites is preferable.
Figure 27 Performance of the rigid block on quasi-plastic layer method on reference cumulative shear strain prediction at different confining pressures and initial shear stress ratios.
These results support our hypothesis that different parts of the striatum are dedicated to reward prediction at different time scales and that they are differentially enhanced or suppressed by serotonergic modulation.
One novel finding of our present study is that the parallel organization for reward prediction at different time scales in the striatum is under differential modulation by the central serotonergic system.
Based on our hypothesis that different brain areas are involved in reward prediction at different time scales, we estimated V t) with six different settings of γ (0.6, 0.7, 0.8, 0.9, 0.95, and 0.99) and used each of them as explanatory variables in a regression analysis.
