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Studies examining the association between the 2 pollutants in general population samples indicated that there were correlations of approximately 0.5 0.6 between nitrogen dioxide and traffic-related noise levels, although local factors, such as traffic and building density, urbanicity, and road layout, influenced the association (26, 27).
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A semi-quantitative correlation of approximately 1 μm surface displacement per 1% RH change is calculated.
Surprisingly, no correlation is observed between the pH-independent log k(max)) and the thiol pK a); model nucleophilic reactions of thiols display a Brønsted correlation of approximately 0.4.
This is commensurate with the array for p = 31 in Fig. 7, which shows a normalized RMS autocorrelation and cross-correlation of approximately 1%.
The node based approach is conceptually simple and its results produce a correlation of approximately 0.79 with human ratings of the same words and concepts.
The lowest Spearman rank between any two methods (ODE15s versus FD for the G1/S model) was 0.91 indicating a worse case correlation of approximately 91%.
As described in the Results section, combined genetic-metabolic models yield a correlation of approximately 0.5 between observed and in LOOV predicted response (cf. Table 1).
Transcriptional profiles of RNA Later and frozen samples showed a within-subject correlation of approximately 0.93.
No correlation – i.e., a Pearson correlation of approximately zero – was observed for: PP1R9A/ Ppp1r9a, GRB10/ Grb10, KCNQ1/ Kcnq1, and MKRN3/ MKRN3/
Remarkably, an absolute correlation of approximately 0.70 was systematically observed between each single factor and its combination with CO2 concentration.
Randomly paired mRNA and protein expressions yield a mean correlation of approximately zero, indicating no apparent bias in the data.
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