The paired-sample t -test showed that NH 4 NO 3 and watering frequency had highly significant effects ( P <0.01), whereas the degree of shading had a lower, although significant, effect on crust biomass development ( P <0.05).
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In general, habitats of different exposures and depths showed distinct and highly significant differences in current velocities (Kruskall-Wallis ANOVA, H 8 = 3499.93, p<0.01, N = 7190).
non-survivors was highly significant, p<0.01 (actual p<0.0001).
Table 2 , which reports results of the X 2 -test of statistical significance of differences in the observed FoS values, shows that the observed differences are highly significant ( X 2 = 310.08; p<0.01). 3.2 Regression models Tables 3 – 5 present the estimated models.
However if you grouped by UNOS 1 and 2 there was a significant trend (p = .01, r2 = .9 ) toward increase urgency the higher the CIT.
Statistical differences between any test groups (control, vancomycin and daptomycin) were highly significant (p≤0.01).
The interaction of amendment*genotypes was also highly significant (p≤0.01) for all yield components and yield, however hundred seed weight was only affected by the main effect of genotypes and amendments.
This difference between MoDC from HCV and healthy individuals was statistically highly significant (p<0.01) using the non parametric Mann-Whitney rank test.
The asterisks indicate a highly significant difference (p<0.01) between the test and control groups as analyzed by one-way ANOVA.
There was a highly significant ( P < 0 . 01 ) correlation between protein content of B . impatiens and the starch content in roots with a correlation coefficient of 0.907.
AMOVA indicated a high level of interspecific variation (fixation index, Фst = 0.94061) within the species complex and, according to Фst values, interspecific variation was highly significant (p<0.01) for all species pairs.
One day after the first vaccination, a highly significant (P < 0.01) increase in H/L ratios was observed in all vaccinated groups when compared to the pre-vaccination time ( Table 1 ).
Importantly, the ranking provided by the sensitivity analysis was trustworthy, since the linear regression explained most of the model output variability (R 2 = 0.91), and it was highly significant (F-statistic = 224, p<0.01).
In contrast, SAH animals showing elevated ICP of more than 10 mmHg showed a highly significant enlargement of the relative ventricle size compared to SAH animals without ICP elevation (p<0.01, Figure 4A) .
The difference was highly significant ( Fig. 5 , C; ADAR2 siRNA, RI = 0.38±0.06, n = 14; scrambled siRNA, RI = 1.11±0.11, n = 12; p<.01).
The final stepwise-reduced model was highly significant (F 8,88 = 5.68, p < 0.01) and the suite of habitat variables entered explained 28% of variability in dormouse occupancy (adjusted r 2 = 0.28) ( Table 2) .
Ifitm3 -/- mice showed highly significant weight loss on days six and seven pi compared to wild type littermates (p < 0.01) ( Figure 6A ).
In contrast, for comb size, the multiple comparisons test showed that the mean difference between mated and unmated males was highly significant (Fisher’s LSD: mean difference = 9.64, P <0.01).
A breakdown of PCS and MCS scores for each of the 4 BMI groups is given in table 2 which again demonstrated a significant trend for decreasing pre-operative and post-operative scores as BMI increased (both p<0.01).
Probability values were scored for three levels of significance, p <0.001 very highly significant, p<0.01 highly significant, and p <0.05 significant.
Results Taxonomic homogenization We found a highly significant difference (p<0.01) in dispersions between sites with a Manorina colony present and those without ( Table 3 ), with lower within-group dispersion for colonized sites ( Figure 2 ).
The algorithm identified acetaldehyde and ethanol to be highly significant nodes (among the ten most regulated metabolites, p<0.01) when grown on glucose (acetyl-CoA was not found as a significant reporter metabolite even though all reactions connecting it to the TCA were induced on glucose, since it is involved in a large number of fatty acid reactions with no significant regulation).
In fact, the correlation between the microarray gene expression intensities and the qPCR normalized C T values was statistically highly significant for genes such as Fgf2 ( r = 0.64, p<0.01) and Adcy1 ( r = 0.73, p<0.01) ( Fig. 10B ).
Difference was highly significant at P <0.01.
7B ), which is statistically highly significant (p<0.01).