Excerpts

The one-way analysis of variance revealed highly significant seasonal differences for all variables measured in both basins ( p < 0.001).

The hospitalization rate for elective general surgeries has its initial level at 15.184 per 100,000 inhabitants (95% CI 14.725 to 15.643; p < 0.001), with a positive trend of 0.038 per 100,000 inhabitants per month (95% CI 0.030 to 0.045; p < 0.001).

Furthermore, for all those variables, the differences between the subjects with and without LSRDs were highly significant (Kruskal-Wallis test, p < 0.001).

As expected, temperature had highly significant effect on the amount of fat stored ( P < 0.001) (Supplementary Table S2 ).

Both parametric (t-test) and non-parametric (Wilcoxon signed-rank test) analyses at α = 0.05 demonstrate that RMONN (88.38%) and RMOLMBP (97.20%) achieved highly significant improvements across all baseline comparisons (p < 0.001), indicating that their performance gains are robust and unlikely to be due to chance.

S2 ) and 18 pathogens with extremely significant difference ( p < 0.001, Fig. 2 C) in the relative abundance.

At the broad Mediterranean scale, the overall F ST value was 0.027 (95% CI = 0.014 to 0.042) for red mullet and 0.011 (95% CI = 0.007 to 0.016) for striped red mullet, and both values were highly significant (p < 0.001), supporting the spatial heterogeneity.

Moreover, monocyte and red blood cell counts showed highly significant differences between the factories both before and after the employment period ( p < 0.001).

Results Genetic and multivariate variation among families The combined analysis of variance (ANOVA) revealed highly significant differences ( p < 0.001 ) among families for all measured traits (Table 1 ), confirming substantial genetic variability within the Pusa Srijan-derived population.

The group effect was highly significant, F (2, 219) = 16.84, p < 0.001, BF 10 > 1000 (i.e., strong Bayesian evidence for H 1 ).

When Concreteness was the predictor and Cue was the moderator variable, we found a descriptively larger β estimate of the CE in the irrelevant than the contextual Cue condition, although both CEs were highly significant, p < 0.001.

In this analysis, the year effect was highly significant ( P < 0.001), but showed a weak relation to effects of management strategy ( P > 0.05).

Mentalization and dissociation were highly significant correlated with a large effect size (r = − 0.70, p < 0.001).

CSF Differences between the Young and Old Groups A between-observer analysis of variance (ANOVA) showed that there were highly significant differences in contrast sensitivity between the young and old observers after 50, 100, and 300 quick CSF trials (F(1, 25) = 26.794, 26.230, 29.716; all p < 0.001).

The adequacy of correlations between items was highly significant (Table 2 ; BTS: χ2 = 2875.494, df = 55, p < 0.001).

While GSH-Px showed a decreasing trend ( P < 0.001) as the transport duration increased (1.44 vs. 1.21 vs. 0.06 vs. 0.04 μmol/mg Hb for T1, T2, T3, and T4, respectively).

Statistical evaluation Statistical significance of probes was evaluated by ANOVA using a two-tailed Tukey-Kramer approach for multiple comparisons (highly significant ***p < 0.001; very significant **p < 0.01; significant *p < 0.05; not significant (ns) p > 0.05).

The high-dose treatments of ADSP (ADSP-HD) and AFP (AFP-HD) led to more pronounced reductions, with highly significant differences ( p < 0.001).

However, inoculation remained highly significant ( p < 0.001), with increases of 40.8%, 77.3%, 108.6%, and 171.8% at 5–12.5 g, respectively.

A similar fit performed only for the highly significant categories (red solid line in Fig. 1 ) yields a = −0.285 ± 0.072 ( p < 0.001) and b = −0.0127 ± 0.0081 ( p = 0.13).

Statistical tests indicated significant cohort differences in employment rate [χ2(3) = 7.89, p = 0.048, Cramér’s V = 0.072] and highly significant differences in starting salary [F(3,1463) = 617.72, p < 0.001, η2 = 0.559], with the 2023 cohort showing a large effect size compared with the 2020 cohort.

It decreased significantly between P1 and P2-P4; with GAG content at P1 approximately double that of P2 ( p = 0.004 NRX, p = 0.013 HYP) and highly significant when compared to P3 and P4 (all p < 0.001).

Paired t-tests comparison of PPFILB-OXAI method with respect to different traditional methods shows highly significant p-values (all p< 0.001) signifying that the performance differences are statistically significant.

A regression analysis of the expression levels (measured as logCPM) of 10 selected housekeeping genes in all the samples pairs (Supplementary Table S2 ) between Kit A and Kit B showed a highly significant correlation (R2 = 0.9747, p-value < 0.001) (Fig. 5 a).

The two-way interaction was highly significant for plant height, tiller number, root length and root density at (p < 0.001).