Sentence examples for differences in the variations from inspiring English sources

For the same experimental data and conditions, various polynomial expressions for the galloping force are proposed in order to determine the possible differences in the variations of the harvester's outputs as well as the type of instability.

The harvest stage was not taken into account since there were no differences in the variations in ΔGATP calculated with equation  9 between fruits harvested at 70%and90%0% of FYT (data not shown).

Table  2 shows the absolute differences in the variations between the groups, with the lumbar spine BMC (15.27%), subtotal whole body BMC (14.86%), and whole body BMC (10.12%) being the most affected values.

These factors explained the differences in the variation in leaf development on the same plant.

We did not observe differences in the variation of BIS values between the two groups during procedure.

In this study, we did not observe differences in the variation of BIS values, as a surrogate for analgesia evaluation, between the Remifentanil and placebo groups in mechanically ventilated, deeply sedated patients during a fiberoptic bronchoscopy.

No significant differences in the variation of the SF-36 and WLQ between the groups were observed at weeks five and 26.

Nevertheless, there is a large variation in orthoses construction and treatment effects within each discipline, while there were no differences in the variation in effect on peak pressure among the three disciplines.

However, differences in the variation in the cadmium content of foods may partially explain differences in results; dietary cadmium estimates may be more accurate or precise in some populations than in others.

This suggests that there are significant differences in variance in sugar content of pollen masses provided to female eggs in social and solitary nests, but no differences in the variation for male provisions.

To test for differences in the variation due to sex and sociality, we made used of mixed modeling techniques to model regression with heteroskedastic residual errors, with maximum likelihood estimation method.