Analysis of variance (ANOVA) revealed that genotypes, treatments, and their interactions were highly significant ( P < 0.001) for all the studied phenological and physio-biochemical parameters to the applied treatment of drought stress (ESM 3 ).
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The E / e ′ ratio showed a highly significant overall time effect ( P < .001).
This difference was highly significant ( p < 0.001), supporting SPP1 as a potential biomarker of VETC-associated MΦ ( Fig. 3 c, d).
Figure 2 summarizes the abovementioned results, and the prevalence of OaPV1, OaPV2 and OaPV3 was highly significant ( p ≤ 0.001) compared to OaPV4 prevalence.
The data indicate that the NFG group shows highly significant differences ( p < 0.001) in the height variable compared to both EMG and NMG groups.
For the 1STST, the corresponding likelihood-ratio test was highly significant (χ 2 = 128.08, p < 0.001), with reference recovery at +0.018%/s, PPF essentially overlapping with reference (Δ −0.0001), and IPF reoxygenation diverging from reference by Δ −0.0347%/s.
In separate sensitivity models that combined age and GDS with one alternative geriatric instrument, depressive symptoms remained a strong and highly significant independent correlate of FACT-Cog (GDS standardized β between −0.44 and −0.57, all p < 0.001; Appendix A , Table A2 ).
The results indicate that PH had a highly significant positive correlation with SD, NB, LL, LW, LEL, TLS, ST, SIL, and TNR at the P < 0.001 significance level and with NNS at P < 0.01 significance level ( Fig 2 ).
There was a highly significant relationship between torsional ME ( R p /Ar.ct) and periosteal circumference ( p < 0.001, group R 2 values = 0.71–0.89, Fig. 1 ).
The correlation of IT between the two tests was highly significant for THBJG (r = 0.829, P < 0.001) and for BBBDB (r = 0.829, P < 0.001).
Furthermore, according to the Tukey honest significant difference (HSD) pairwise comparison ( Table S1 ), the carotenoid contents of the chloroform, acetone and hexane extracts, represented by spectral signals of fucoxanthin, astaxanthin, violaxanthin and lutein, were highly significant ( P ≤ 0.001) compared to those in the methanol and 70% ethanol extracts.
However, in our cohort of dogs, we observed a highly significant positive correlation between these parameters (r = 0.716, p < 0.001).
Differences between countries were highly significant ( p -value < 0.001 in all cases), with French students using the Internet less than the other three groups (77.8%).
There was a highly significant effect of condition, F (2.22, 173.6) = 59.9, p < .001, η p 2 = .434, but no group × condition interaction, F (2.22, 173.6) = 1.28, p = .283, η p 2 = .016 (Table 3 ).
Statistical comparison of nucleotide diversity estimates demonstrated that the observed differences between markers were highly significant (Z = 27.66, p < 0.001), confirming that the increased variability detected by ITS reflected true biological differences rather than sampling-associated variation.
There was a significant difference between SA and DYS: W = 3.844, p = .050, plus a highly significant difference between DYS and SD: W = 19.252, p < .001; and SA and SD: W = 9.880, p = .002.
Highly significant correlations were found between the three SGI chronologies ( p < 0.001; 0.55 < τ < 0.68) of all specimens.
p > 0.1) or highly significant (e.g. p < 0.001).
The difference in scores between these two groups was highly significant ( P < 0.001).
In the subgroup analysis of age ranges, the age of 0–30 days is highly significant for risk of death ( p < .001) when compared to older age groups.
The combing examinations found highly significant differences ( p < 0.001) in the levels of infestation for the two larger urban schools (B and H) compared with pre-COVID levels, shown in Table 1 , but a non-significant reduction in city School G, which also had a considerably diminished school roll compared with previous visits.
The difference in mean association strength between strong and weak conditions was highly significant (t(188) = 16.05, p < .001; Table 1 ).
The Shapiro–Wilk normality test and median-based Levene’s test of homogeneity of variance confirmed the feasibility of subsequent statistical analysis, and one-way ANOVA revealed highly significant differences in regeneration efficiency among treatments for both strains ( p < 0.001; Supplementary Tables S11–S13 ).
However, we observed we observed a highly significant correlation between the presence of methanogens and tobacco smoking (P value < 0.001) (Fig. 3B and Table 1 ).
Age was a strong determinant of CVD risk: 46.2% of CVD cases occurred in individuals older than 60 years, whereas only 13.0% were younger than 40, with highly significant differences across age strata ( p < 0.001).