Sentence examples for eliminating unequal from inspiring English sources

Exact(1)

Since a lack of awareness of racial disparities in healthcare remains a significant barrier to eliminating unequal treatment [ 45, 59], reporting racial disparities in contemporary transfusion practices may help reduce potentially unnecessary blood transfusions in minority patients.

Similar(59)

Similarly, De Schutter (2009) argues that prohibitions of nationality discrimination in national law in most EU Member States and in EU free-movement law put pressure on governments to eliminate unequal treatment between foreigners and nationals, which could constitute indirect discrimination if nationality serves as a proxy for race, ethnicity or religion.

They pointed out that although, theoretically, randomisation eliminates unequal distributions when N is large, in practice this may not occur for every baseline factor measured when N is limited.

Transposable elements are known to evolve faster than genes and are rapidly eliminated through unequal and illegitimate recombination [ 22- 24].

To eliminate the impact of unequal contribution due to family size, the mean wGRS of affected subjects and unaffected subjects within each family was first computed, resulting in a "wGRSfamily, affected" and "wGRSfamily, unaffected".

The emission ratio at 490/440 was used for calculation of the pH, where irregularities due to unequal loading are eliminated.

The resulting data set was auto bias-corrected to eliminate any variation due to unequal mixing when combining different labeled samples.

To eliminate the difference caused by the unequal number of ESTs in each selected libraries, DDD uses the Fisher Exact Test [ 13] to restrict the output for statistically significant differences (P ≤ 0.05).

Although the integration of mobile elements in rDNA loci has been reported in animal taxa, new insertions are rapidly eliminated from the rDNA locus by unequal crossover between sister-chromatids [ 35, 36] and that new insertions are subject to random crossovers.

The resulting data set was auto bias-corrected to eliminate any variations imparted due to the unequal mixing during combining of the different labeled samples.

To assign columns to clusters, we weight sequences in a multiple alignment to eliminate any distortions in frequency vectors that could be caused by unequal representation of similar sequences in a multiple alignment.

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