Sentence examples for predicted workers from inspiring English sources

The researchers involved with that project concluded the health risk from the smoke is "so low that it does not constitute a problem .They also predicted workers in a biomass plant would receive very little exposure from wood or ash, provided the plant was well designed and work practices well planned.

The model also predicted worker age at onset of foraging and lifespans that were a reasonable match to observed experimental data (Table 1).

As predicted, worker ovary size is genetically linked to multiple correlated traits of the complex division of labor in worker honey bees, known as the pollen hoarding syndrome.

Capitalizing on this consistency, we demonstrate that it is possible to predict workers' long-term accuracy using just a glimpse of their performance on the first five tasks.

Companies are now using insurers and employee wellness firms to mine data about employees' prescription drugs and shopping habits to predict workers' healthcare needs.

We find that managers continue to make promotion decisions in part based on assessments that were made as many as six years before, and long after the assessments are no longer relevant for predicting workers' future performance.

The primary objective of the model is to predict workers' work schedules according to mode choice, which is considered a skeletal activity schedule in activity-based travel demand models.

As the model predicts, workers in middle-paid occupations become more mobile over time and they have the highest probability levels of mobility.

When the queen's fertility signal changes throughout colony development, we predict workers' response to fertility information also changes [ 48].

This study showed that, in a population of young workers wh no or limited antecedents of LBP at baseline, physical examinations, as routinely assessed in occupational medicine, are not useful to predict workers at risk for the development of back disorders one year later.

We demonstrate that there can be large social welfare gains from using machine learning tools to predict worker productivity, using data from two important applications police hiring and teacher tenure decisions.