Sentence examples for predictions at three from inspiring English sources

Whole islet physical experiments were compared with model predictions at three temperatures, three perfusing solutions, and three islet size groups.

Then to obtain satisfactory steady-state predictions at three gas flow rates, the upper bound of the proton exchange flux in the genome-scale reconstruction was correlated with the gas flow rate as an indirect means to account for the effects of acetate secretion on extracellular pH.

Tubiello, F. N., Donatelli, M., Rosenzweig, C. & Stockle, C. O. Effects of climate change and elevated CO2 on cropping systems: model predictions at two Italian locations.

As deep learning frameworks support execution on Graphics Processing Units (GPUs), ElemNet can make predictions at two orders of magnitude faster than the physical attributes based ML models running on CPUs.

A total of 2834 test sections were used for E* predictions at ten temperatures amounting to a total of 28,340 data points for each aging condition.

The performance of VC-OSELM was compared with OSELM in daily streamflow predictions at two hydrological stations in British Columbia, Canada, with VC-OSELM significantly outperforming OSELM in mean absolute error, root mean squared error and Nash-Sutcliffe efficiency at both stations.

If the Republicans had met their pollsters' more generous predictions (at one time these included House gains of a score or more seats and the five seats in the Senate needed to produce a filibuster-proof majority), they would clearly have portrayed victory as the people's permission to drive the president from office.

The predicted numbers of domains and domain combinations originated at each node in the tree is also determined by the changes in Rhgt. Figure 6A and 6B lists the predictions at five ancestor nodes (Cellular Organism, Eukaryota, Bacteria, Fungi/Metazoa and Metazoa) under different Rhgt values (complete data is provided in supplementary Table S2).

The three other lines show the seasonal predictions made at three different "lead times:" 1 month in advance, 4 months in advance and 7 months in advance (see footnote 3 for more explanation of lead time).

Two linear regression models - model 1 (based solely on imagery) and model 2 (based on imagery and information about elevation and N fertilizer application rate), were tested on their performances (in terms of coefficient of determination (R2) and root mean square error (RMSE)) for in-season corn yield prediction at four spatial resolutions (0.35, 0.5, 1, and 2 m px−1).

We then calculated the prognostic scores for outcome prediction at five years using the following procedures.