Sentence examples for hundreds of model from inspiring English sources
As a child, Nott constructed hundreds of model airplanes from kits and from scratch, and hung them from the ceiling of his bedroom, in Worcester.
We ran model instances in parallel on a high-performance cluster, and from hundreds of model runs we obtained the best parameter choices.
John Bonsor – the organiser of IRW – explains how amateurs can still play a role in space exploration, whether it's designing spacecraft for novel applications or experimenting with hybrid engines, as he showed us some of the hundreds of model rockets in his own home.
Funded by some of the largest corporations based in the United States, ALEC takes the policy ideas of corporate-friendly think tanks, turns them into hundreds of "model legislation" bills undermining unions, blocking environmental protections, opposing health care reform, and supporting the tobacco and private prison industries.
Since modeling efforts are typically carried out by a team of researchers, coordinating the exchange and updates of hundreds of model files among team members is even more chaotic.
Nor is a test of statistical significance that compares many hundreds of model runs as informative as would be a test of some hypothesized, temporally specific relationship between plague activity and human spillover.
External data from healthy volunteers and CF patients were within the 5th and 95th percentiles of model simulations.
Azithromycin concentrations in blood, PBMCs, and PMNs from external studies of healthy adults and cystic fibrosis patients were within the 5th and 95th percentiles of model simulations.
Finally, our classification results are obtained based on a threshold of sentence score, which was empirically established at the 25th percentile of model scores on the training data.
Effects which are highlighted in bold were considered as major explanatory ones and selected for the 2nd-round of modeling.
The 1st-round of modeling was performed using the available set of experimental data to detect the factor(s) accounting for most of the response variability.
