Sentence examples for may reduce experimental from inspiring English sources

The application of fractional factorial designs and statistical methods, which consider the need for replicating experiments and resources, may reduce experimental efforts [ 40, 73, 74].

Due to Meissner et al. (2005), a molecular genetic technique called reduced representation bisulfite sequencing (RRBS) has been used to take only a small subset of all available probes as proxies to describe the methylation level of the whole genome, which may reduce experimental costs drastically and make experiments executed on a larger cohort possible.

For single-molar implant designs, an increase in implant number and diameter may effectively reduce experimental implant abutment strains.

In this context, combined experimental and numerical approaches are of increasing practical importance, as these may reduce the experimental effort and, moreover, provide a basis for the transferability of experimental results to different axle geometries and materials.

Knowledge of domains and their boundaries may reduce the experimental cost of protein structure determination by allowing researchers to work on a set of smaller and possibly more successful alternatives.

Describe any steps you took to reduce experimental uncertainty.

Therefore, the logistic, technical and financial challenges faced with gnotobiotic conditions may not in all circumstances weigh up to the improvements they may bring in reducing experimental variability.

Over 30 years ago Berk et al. demonstrated that beta-blockers may reduce mortality from both experimental and clinical sepsis and shock [ 1].

In addition, better identification of patients who are likely to respond to a new treatment based on biomarkers suggesting involvement of the disease pathway targeted by the experimental agent may reduce the required sample size and increase the likelihood of a favorable outcome.

Microbicides are experimental products which may reduce the risk of HIV infection for women during sexual intercourse.

Given that characterisation of novel gene products in vivo and in vitro is time-consuming and expensive, this computational approach may be useful for reducing experimental search space.