Sentence examples for differences in consequences from inspiring English sources

Given differences in consequences due to the depth of water, scenarios of low (road covered in 20 cm of water) and high (road covered in 60 cm of water) risk situations were investigated.

The differences in consequences of presumably null mutations in all three genes derive probably from the stability and endurance of the respective maternally provided gene product.

First, if we include measures of resources, in addition to chronic stress - do we still observe gender differences in consequences of health, namely exhaustion?

Longer term follow-up may reveal differences in consequences between treatment groups, such as the progression of arthritis, the need for late subtalar fusion surgery, or better results of late fusion when primary open reduction and internal fixation were performed.

In addition, as some differences in consequences have been noted between adolescents and adults as well as between men and women it is relevant to investigate further how consequences are influenced by age and gender in all three spinal regions.

6) Epidemiologic data show little difference in overall drug use by race/ethnicity; yet there are great differences in consequences of drug use for racial/ethnic minorities, creating a great need to better understand the unique prevention, treatment, and health service needs of these communities.

Despite this predicted difference in consequences of the two pak-1 alleles, pak-1 (tm403 ) and pak-1 (ok448 ) homozygotes on max-2 -directed RNAi conferred DTC migration defects of similar strength.

The primary outcome was patient re-consultation within 14 days for the same or a linked problem, which could indicate any difference in consequences for the patient and also the practice and doctor workload.

Because of the molecular weight difference in consequence of the varying mass increase of the PEX primer, mutant and wild type can be discriminated using MALDI-TOF MS [ 133].

As a result, the NRA in its 'original' form offers little room for detailed differences in the consequences of different flooding scenarios.

The aggregated data could not describe the variations across different illness episodes and their differences in financial consequences.