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Data from the survey responses has been used to provide additional evidence in sections 4.1, 4.2 and 4.3 on the inter-relations between the Cluster at global level (and the ECU specifically) and those carrying the work of the Cluster at regional and country level.
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The micrographs of Fig. 6c, e reveal a larger clump size with fairly narrow gaps between the clusters at both 800 and 1000 rpm.
Clusters the results so that the time gap between the clusters is at least θphrase-search = 10s 3.
That is, the difference between the clusters formed at the next (second) level of the hierarchical linkage was not strong and/or consistent enough to actually result in discernible network connectivity.
These results clearly confirm the correlation between the density of the FeS cluster at the Qo site and the observable level of superoxide produced by cytochrome bc1: the higher the FeS density, the lower the ROS level.
We explain this correlation between the density of the FeS cluster at the Qo site and the level of superoxide production with the model that assumes a competition between the internal reactions involving the cofactors and quinone at the Qo site and the reaction of semiquinone with oxygen.
Wilcoxon test (P < 0.01) revealed that the signal ratios of 1111 BAC clones in clear cell RCCs were differed significantly between Clusters AT and BT.
In order to gain insight into these interactions, a qualitative and quantitative assay of the microorganisms that colonise the ore surface or are present in the liquid phase between the ore clusters at different levels within a heap has been developed.
Despite the sequence similarity between the TaGLP3 gene cluster at the Sr2 locus and GLPs from other cereals that are associated with disease resistance, our data show that the predicted amino acid sequences of the TaGLP3s are identical between the stem rust sensitive cv Marquis, and the resistant cv Hope.
Of particular interest will be improvements in these measures over time as well as differences in the variance of these changes between the various clusters at each level.
The sites contributing to the type 1 functional divergence (FDI) are the ones that are highly conserved in one cluster but are variable in the other cluster, thus reflecting changes in evolutionary rates between the two clusters at these sites.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com