Sentence examples for evaluated the effort from inspiring English sources

They evaluated the effort put in by mothers by measuring the weight gain or loss in the young lambs.

The first experiment evaluated the productivity during the reuse process, and the second one evaluated the effort of maintaining applications developed with both CF versions.

While the committee said it would "continue expanding its holdings of securities as announced in November," it emphasized that it would continue to re-evaluate the effort.

To evaluate the effort of channel estimation error, the ergodic sum rate with imperfect CSI is also investigated.

Of course, more studies are necessary to evaluate the effort required for assigning PSTs and ISTs to all ChEBI compounds.

Metrics and tool: The metrics we collected to evaluate the effort required to adapt test sets across paradigms focus on code churn.

Our aims were to (1) generate unbiased estimates of brown hyaena occupancy and abundance (2) investigate two suspected determinants of occupancy using a combination of biological and socio-economic sampling techniques, and (3) use simulations to evaluate the effort required for abundance and occupancy estimates with acceptable bias, precision and power.

Finally, Sorensen suggests that the moral worth of an action might be affected by (i) whether the agent reflectively evaluates the Effort Expended or Effort Required to perform the act, and (ii), if so, whether and to what degree the agent under-rates or over-rates the values taken by these variables (pp. 104 7).

It should be replaced by an international mechanism to evaluate the efforts of all countries in the drug war.

Members follow a more or less endless process of self-development, giving speeches to the group, receiving criticism, evaluating the efforts of others and going on to regional and national competitions.

"NIH expects to spend $240 million over the first 5 years of the initiative" to fund programs for minority students, and a program to evaluate the efforts and obtain rigorous data about what does and doesn't work.