Sentence examples for measures often have from inspiring English sources

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Thus, benefits of policy measures directed to reduce environmental exposures are difficult to gauge and policy measures often have to be taken without conclusive scientific evidence.

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Additionally the measures often had dichotomous response categories, when barriers are often experienced to a lesser or greater extent.

Resulting economic dislocations and domestic austerity measures often had destructive effects on livelihoods and other social determinants of health, which were demonstrated as early as 1987 by a ten-country UNICEF study (Cornia et al. 1987).

Sleep deprivation closely mimics symptoms attributed to ADHD (eg, inattention and hyperactivity) 10 16 and objective and subjective measures of sleep often have disparate findings.

Unfortunately, since modeling non-linear relationships in regression models is complex, many studies have failed to do so, and the studies that have examined non-linear relationships between biochemical measures and mortality often have not provided results in a format amenable to a traditional meta-analysis.

Yet car manufacturers took time to introduce such measures and often had to be pushed into it by the public shaming of a well-publicised car theft index, or forced into it via regulation (Laycock 2004).

Knee flexor strength measures, often neglected, have shown decreases of only 17% three to six months following TKA [ 38].

Of course as is frequently the case in psychological research the authors of the current measures of QoL will often have substantial academic and/or financial investment in their own tool and may therefore also be reluctant to engage in a process by which their own measure may be used less frequently in future studies.

However, meat quality traits can usually only be measured post-slaughter and often have low heritabilities [ 3], therefore making progress using direct measurement is difficult for these traits.

Due to the complexity of the physical characteristics of building systems and the lack of field measured data, modellers very often have to work with unknown or unmeasurable parameters either through approximation or with reference to the original design values.

Time is a difficult concept for anyone to grasp, let alone measure, and so we often have to find ways to talk about it in relation to physical space—"Put the past behind you"; "the future lies ahead".

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