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The results highlight the prevalence of primary headache- 81,57% in P with MS. There has been noted a significant correlation between headache severity and the presence of demyelinating lesions in brainstem, substantia nigra, red nucleus and periaqueductal gray.
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It is to be noted that a significant correlation in the Pearson's analysis indicates that the parameter is related to psychological processes of aversion to possible non-gain (or possible waiting time until winning).
However, it should be noted that significant correlation did not always result in co-located QTLs.
Field similarities were noted as significant correlations between CFs and BFs, V-shaped frequency tuning curves, similar minimum response thresholds and non-monotonic rate-level functions in approximately two-thirds of the neurons.
However, for the trunnions in this study, it should be noted that a significant positive correlation was observed between corrosion score and volume of material loss (ρ = 0.72, 95 % CI = 0.44 0.87, P < 0.001).
However, it should be noted that a significant negative correlation was observed between expression level and ORF length in the budding yeast [ 28].
In keeping with our previous findings [ 13], TUBB3 protein expression alone was an outstanding biomarker, and we noted a significant positive correlation between gene and protein expression for TUBB3, with an R value of 0.67 (p<0.670.67
In this regard, it is worth noting that a significant correlation between Pc1 2 power and atmospheric parameters has been recently observed in statistical analyses at Terra Nova Bay (TNB) (Francia et al. 2015; Regi et al. 2016, 2017).
It is interesting to note that there is a significant correlation with the ASP triad (C3/B/adipsin) and specific lipid metabolic genes, where DB1, DGAT1, ME1 and Glut4 are examples Several other genes correlated well within the group of metabolic genes such as DGAT1, DGAT2, SCD1, FASN, GLUT4 and ELOV2.
It is interesting to note that there was a significant correlation between targeted RHDα gene abundances and the concentration of those taxa found by DGGE analysis (relative intensity × total cell count) that had close affiliations to the reference species of those RHDα genes (Pearson's correlation, r 2 = 0.83, P < 0.01, n = 9).
However, it should again be noted that there was a significant correlation between patient age and the CURB-65 score/PSI in both age groups in the present study.
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