Sentence examples for variation in capabilities from inspiring English sources

1) Biogas development is unevenly distributed, following patterns of social connectedness, which suggests significant spatial variation in capabilities or capability deprivations regarding individual agency in relation to (bio energy.

This variation could also be explained by a variation in capability of tumour cells to bind pimonidazole, if it is considered that this fixation depends on the concentration of fixing protein.

These three tests were chosen for assessment at age 53 because they are some of the most commonly used measures of physical capability in epidemiological studies 11 and were expected to detect meaningful variation in capability between individuals in mid-life across the full spectrum of ability.

Every player has variations in capabilities and talent; some players don't achieve their goal even after many tries.

By contrast, there is an inherently wide variation in the capabilities and talents of individual children.

No one can overlook the prominent role advisors play in young scientists' lives; likewise, few can deny that there is substantial variation in the capabilities of scientists to fulfill these mentoring roles.

This bioassay documented abundant variation in inhibitory capabilities, with the number of Streptomyces inhibited by individual strains being more variable than what was observed in the antifungal assay (average 10, range 2 14).

However, these numbers can range from 1 to 100,000 and, obviously, do not represent the equal variation in researchers' capabilities.

Computational modeling of bacterial metabolism offers a promising approach to predict strain-to-strain variation in metabolic capabilities and microbial strategies used in different environments, including host tissues.

This permits flexibility when administering instruments to allow for variation in participant capabilities and response method preference, as well as study budgets and timelines [ 47].

Computational modeling of bacterial metabolism offers a promising approach to predict strain-to-strain variation in metabolic capabilities and microbial strategies used during host association.