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This study had the advantage of a substantial sample and so although it was not entirely representative of the general population, groups were large enough so that multivariate analyses could be used to establish whether the demographic variables exerted independent effects.
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Substantial sample sets and clinical data and analysis would be required.
Vacuum annealing of carbide-derived carbon is therefore a suitable alternative to conventional microstructure modification methods, such as gas or liquid phase activation, which are subject to substantial sample loss and result in additional surface functionalization.
This process affords us the ability to draw insights that are not possible by looking at the aggregate numbers from typical national polls, which are subject to substantial sample variation and other noise.
However, with the substantial sample size and high response rate, the potential biases are minimized.
Nevertheless, this is the first study of its type in the country, with substantial sample size and sufficient time span.
Solid form screening, as currently practiced, requires substantial sample quantities and it has thus far not been feasible to perform solid form screening as an early stage selection criterion for choosing which bioactive compounds to advance in the pipeline.
Some of these structures can be visible to the naked eye, some require a submillimeter examination of a rock's surface, while in many other cases, substantial sample preparation and micron-scale examination of rocks (spatial, geochemical) is needed to identify the signatures preserved in them.
A substantial sample of upper and lower canines (and lower third premolars) showed that the upper canines of Ardipithecus did not sharpen (hone) as did those of all fossil and modern apes.
Subsets are identified that will provide a substantial sample size (cases and controls) for each of the PAGE focus phenotypes while preferentially including participants who also have relevant biomarker measurements.
This requires substantial sample handling, quality assurance, and data reduction.
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