At 20 μg MSC-EVs, proliferation increased 1.5-fold (p < 0.05), and highly significant changes (p < 0.001) were observed at 40 to 100 μg compared to the untreated control (Fig. 3A ).
Excerpts
A highly significant association was observed between mGPS and nutritional status ( p < 0.001) (Table 3 ).
After the remineralization phase, one-way ANOVA revealed a highly significant difference among groups for all measured elements ( P < 0.001).
Compared with the normal group, crg-miR-130-3p (7.372 ± 0.3416 vs 1.085 ± 0.06151), crg-miR-142-5p (5.228 ± 0.07653 vs 1.117 ± 0.01856), crg-miR-21-3p (14.250 ± 0.5306 vs 1.214 ± 0.08204), and crg-miR-34c-3p (5.598 ± 0.2093 vs 1.043 ± 0.04295) increased extremely significant ( p < 0.001) and had relatively high and stable expression levels in the cancer group.
Statistical comparisons between receptor subgroups and menopausal status, tumor grade, lymphatic invasion, lymph nodes, adjuvant chemotherapy drugs and pathological stage were highly significant (p-values < 0.001).
The overall genetic differentiation among populations was low but highly significant (G st = 0.026; P < 0.001).
Results also revealed highly significant ( P < 0.001) relationships between leaf N:P ratios of the study species and soil indices such as Ca ( Fig. 5a3–c3 ) and soil pH ( Table 2 ).
Statistical significance was considered at P < 0.05, and a highly significant difference was denoted at P < 0.001.
S2 ) and 18 pathogens with extremely significant difference ( p < 0.001, Fig. 2 C) in the relative abundance.
The results in Table 2 also indicated that for males, the multivariable-adjusted hazard ratios (HRs) of all-cause mortality from the lowest to the highest quintiles of SMI were 1 (reference), 0.72 (95% CI, 0.61–0.84), 0.59 (95% CI, 0.47–0.74), 0.44 (95% CI, 0.34–0.56), and 0.54 (95% CI, 0.41–0.72), with a significant trend ( P < 0.001).
Moreover, statistically highly significant difference was present between scores of OLK with and without mild/moderate dysplasia (P < 0.001).
Comparisons against Pure MI Ranking confirm highly significant improvements across the Kelmarsh and VV datasets ( p < 0.001, effect sizes 0.76–0.89), while the Reverse-Acting Controller also records a statistically significant gain (p = 0.021, effect size 0.54).
Parenchymal contrast also demonstrated an increasing trend with decreasing keV values in PCD-CT on both phases ( P < 0.001 to 0.004 for AP and P < 0.001 to 0.001 for PVP).
The statistical validity of these findings is supported by strong t-statistics and p-values, demonstrating a highly significant difference in pain score reduction favoring the observation group from day 3 onward ( p < 0.001).
Highly significant community level differences were observed between Fraction (PERMANOVA p-value < 0.001), Collection (PERMANOVA p-value < 0.001) and feed (PERMANOVA p-value < 0.001) based on the Bray–Curtis distances while less significant changes were contributed by breed (PERMANOVA p-value = 0.037) (Table 1 ).
However, three variables were found to have highly significant correlations (p < 0.001) with TCL at every scale and region assessed—FDI (positively correlated at each scale/region), percent of rural population (negatively correlated at each scale/region with a slightly weaker correlation in Africa [p < 0.01]), and GDP per capita (positively correlated across scales/regions except for Africa, which was negatively correlated at the p < 0.01 level) (Supplementary Figs.
This difference was highly significant, t(4201) = −32.82, p < 0.001, d = −0.51, confirming Hypothesis A.
Pairwise F ST between the Alpine–Carpathian and northeastern European regions was moderate and highly significant ( F ST = 0.119, P < 0.001, Table 2 ), as was the differentiation between the Alpine–Carpathian and Asian regions ( F ST = 0.181, P < 0.001, Table 2 ).
However, an analogous correlation between the FLIM values for lc-LysM GEPII 1.0 and jRCaMP1b during the rising phase of the PID revealed a highly significant correlation (R = 0.359, p < 0.001, Fig. 3 G).
The treatment effect of CsA-CE drop was highly significant ( p < 0.001) in all groups (Figs. 1 , 2 , 3 and 4 ).
Pairwise comparisons between groups with differing glycemic control using Dunn’s test revealed highly significant ( p < 0.001) differences for all categories save between the diabetic and poorly-controlled groups, which were not significant.
PRAL, NEAP and DAL score were significantly different in DAL quartiles, with an increasing trend (p < 0.001).
This resulted in 8 highly significant ( p < 0.001) and correlated linear regressions (see S5 ).
Mixed linear model analysis of these data showed that the hyperopic shift induced by red light was highly significant ( P < 0.001) while the refractive change under blue light was not significant ( P = 0.49).
In parallel, we found a decreasing trend in DIN loads (− 0.70% annually, p < 0.001) and an increasing trend in TON loads (2.11% annually, p < 0.001) in the five studied Norwegian rivers over the past 27 years (1990–2017) (Table 1 , 2 ) (Fig. 2 c,d).