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This paper studies the accuracy of such measurements in two-dimensional slot burners and shows that while methane/air flame speeds can be measured with reasonable accuracy, the method may lack precision for other mixtures such as hydrogen/air.
Finally, the measurement of risk factors may lack precision.
Although this analysis may lack precision by the small number of patients included, it could have clinical implications regarding target groups for vitamin D3 supplementation.
Therefore, values may lack precision because certain local acoustical variables, such as humidity effects, ground absorption, individual aircraft directivity patterns, and sound diffraction around terrain or buildings, are not averaged or may not be explicitly modeled.
However, where there are large natural fluctuations and measurement error in the biomarker that defines the regimens, and where the event rate is low, as in our example, the methods may lack precision in realistically-sized cohorts.
Firstly, risk factor estimates obtained from the Scottish Health Survey may lack precision owing to small numbers, compounded by self reporting of smoking and inactivity levels and declining survey response rates.
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It may lack the precision engineering of Shake Shack's, but it satisfies.
Clinical evaluation may lack sufficient precision, leading to inappropriate medication and discharge.
Thus, the significance of some nutrient intake reductions may lack some precision due to the absence of clear benchmarks to compare the estimated results with.
Although this method may lack the precision offered by meticulous calibration using camera parameters, for the purpose of this part (namely distinguishing foreground and background), it represents an adequate substitute.
Although the diagnostic sensitivity of some algorithms determined here may lack ultimate precision despite our correction for overrepresentation of 1st quarter samples, the use of the 10 best-performing algorithms in combination permits minimization of the impact of their individual limitations and the effects of sample bias and to monitor changes in IIR in a population over time.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com