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Flux variability analysis shows that only marginal variability in the fluxes of the shuttle is possible.
Distance to mill was the only spatial covariate that explained additional (marginal) variability in PM2.5 during summer mornings; PM2.5 was 0.145 μg/m lower, on average, for each 100 m distance from the mill.
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Furthermore, causal variants may interact with environmental risk factors that differ in exposure between ethnic groups, generating variability in the marginal allelic effect between populations.
The models correctly explained 73.3%, 83.7% and 73.3% of the variability in having converted marginal meadow in woodland and of future intentions to change the productive forest species and increase the area of productive forestland, respectively.
As the firms' expected marginal costs of variability are difficult to estimate, we think that a more promising approach is to estimate the marginal cost of precautionary measures for a given variability in the transport system.
Data presented here and elsewhere [14] clearly demonstrate that whether statistically significant differences between study groups are present or absent can depend on which reference gene is used for normalization even when variability in reference gene expression is marginal.
Same as in the one-dimensional marginal distribution, it can be seen that the variability in protein concentration is mainly dominated by the variability in the maximal expression rate Vmax.
The single study of the genetics of this phenomenon in humans detected only marginal associations between genotypes at two candidate genes for ADHD and variability in response time.
The adjusted R for model 6 indicates that 74% of the variability in state-level suicide rates is accounted for by marginal farmers, cash crops, and indebted farmers.
The results of the multivariate biometric analyses follow at least partly the genetic differentiation of J. excelsa subsp. excelsa, also indicating the selection processes and/or variability in response to environmental differences in some localities, frequently marginal ones.
The least number of principal components describing more than 90% of variability in each case was selected and the projection of marginal distributions along the selected principal component was calculated.
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