Sentence examples for results to differences from inspiring English sources

(2011) for an attempt to compare the sensitivity of the results to differences in the specification of support.

We investigate differences in the polymerization kinetics using differential photocalorimetry (DPC) and relate these results to differences in HPDLC evolution using real-time scattering experiments.

Sensitivity of the results to differences in unit prices between countries will be analysed by valuing resource use in all countries using unit prices of a single country.

These reviews attribute a lack of comparability between results to differences in sample processing methods and storage conditions, and in techniques for both the extraction and quantification.

We attribute most of this variation in results to differences in sampling procedure (e.g. biased samples or samples including very young men not likely to have ended their reproductive careers), low power of the majority of studies to detect the relevant effect size and the lack of testing for non-linear relations.

It must be mentioned, that the choice of specific selective or non-selective microbiological growth medium, the incubation temperature and the cultivation time result to differences on the selection of the viable, cultivable, airborne microbial community.

We also attribute this result to differences in the reduction of BMD, as the metaphysis is more affected by osteoporosis than the diaphysis.

Studies testing the same hypothesis will tend to find results that match the underlying true effect, but there will be some variation in their results due to differences between studies (different participants, researchers, settings, and so on).

It is difficult to compare the results from this research with other results due to differences in spatial and temporal system boundaries.

Results indicate that deployment method can significantly impact measured results due to differences in mass transfer.

Although it is difficult to directly compare the results due to differences in tasks, datasets, and annotation methods, our results are comparable in terms of accuracy.