Sentence examples for select accurately from inspiring English sources

3 To safely omit surgery, it is essential to select accurately the right candidates, i.e., the true complete responders.

Citizens should be able to select accurately between political actors and make a choice that is consistent with their own views, attitudes and preferences (e.g. Lau and Redlawsk, 1997).

These discrepant opinions may partly be explained by the current lack of validated criteria to select accurately the patients (of any age) who will benefit most from ICU hospitalization.

Therefore, if threshold value is selected accurately (threshold value is selected based on traveling time in fastest power swing), traditional CPSB can detect power swing in this condition.

This causes the problem that a new nominee is not necessarily 'worse' than the current one and the 'worst' receiver could not be selected accurately.

However, based on MAW, the candidate splice sites could be selected accurately without the information of gene models.

The advantage of genomic selection to estimate such reproductive traits is that, unlike traditional selection based on pedigree information and phenotypes only, it allows to select animals accurately without their own phenotypic measurements or those of their relatives and thus, genetic gains are increased compared to that obtained with traditional evaluation methods [ 13].

We cannot arbitrary reject the very elderly from the doors of the ICU it is ageism but we need information to select more accurately the patients with the highest probability of survival, and to avoid useless and aggressive cares when it is not appropriate.

As new preventative strategies for dementia are developed, methods to select persons accurately for clinical trial involvement will be needed.

IBD-based methods can provide more insight in the genetic diversity of specific regions of the genome, and subsequently contribute to select more accurately the animals to be conserved, for example, to construct a gene bank.

Given a particular combination of factors, the parameters from the closest matching category in the historical database can be quickly selected to accurately assess expected traffic patterns.