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Five UK laboratories participated in a study designed to explore the principal sources of interlaboratory variation in the analysis of PCDD/Fs in sewage sludge.
To investigate the role of confocal microscopy as a diagnostic modality in microbial keratitis and to determine inter- and intraobserver variation in the analysis and interpretation of confocal microscopy findings.
These results indicate that an automated method could be used to minimise inter-observer variation in the analysis of bone scans, both in clinical routine and in clinical trials.
The ordination of the first principal axes described 90.2% of the variation in the analysis.
Second, we failed to capture day-to-day variation in the analysis.
Each polymorphic (polymorphic) site was considered an independent unit of variation in the analysis [ 71].
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These results improve the upper limit on the tensor-to-scalar ratio to r < 0.07 at 95% confidence and we explore the robustness of this constraint to complications in the dust foreground, instrumental systematics, and other variations in the analysis.
We adjusted the analyses for sex, season (the larger variation in this analysis compared with the cytokine analysis allowed us to control for season rather than month), MUAC, and subsequent vaccinations.
This variation is, however, less well understood than the variation used in the analysis of Section 6.
Background genetic effects modeled by K accounted for 31% of the total variation among line means in the North Carolina analysis, 57% of the total phenotypic variation in the Galicia analysis, and 48% of the total phenotypic variation in the combined analysis (Table 2).
Provided there is sufficient spatial variation in payoffs, the analysis identifies a critical dispersal rate d∗ required for regional persistence.
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