This model was highly significant [ F (4,28) = 15.44, p < 0.001], and explained 72% of the total variance in Python learning rate.
Excerpts
BMI change was highly significant between groups (Synbiotic: − 0.41 ± 0.81 vs. placebo: 0.53 ± 0.66, P < 0.001) 27 .
For the BDZ textures (blue symbols), we find in all cases a highly significant rank-order correlation (Spearman’s ρ) between rankings by lo-TQ and hi-TQ participants (median split, pilot: ρ = 0.907, p < 0.001, main: ρ = 0.964, p < 0.001; definitional split, pilot: ρ = 0.767, p < 0.001, main: ρ = 0.950, p < 0.001).
The adhesive ratio likewise had a highly significant effect ( p < 0.001) on dimensional stability properties (Table 4 ).
PDT treatment led to a highly significant size ( P < 0.001) reduction of the mucosal lesion starting from 14 days after PDT (day 28; Fig. 2a,c ) that correlated with a significant improvement of the ABSIS I score ( P < 0.05) at days 42 and 56 (Fig. 2b ).
There was a decreasing trend in C-MMSE scores with increasing age and an increasing trend in C-MMSE scores with increasing levels of education, annual household income, and social support (all P < 0.001).
Multivariable models were constructed using explanatory variables chosen a priori based on clinical importance, and those that were observed to be highly significant in univariable models (p < 0.001).
A significant trend was observed in both AKI occurrence ( p < 0.001) and mortality ( p < 0.001) across the risk groups, with higher risk groups showing progressively increased risks of AKI and death.
The fluctuations were statistically highly significant (one-sample t-test: t = 17.08, p < 0.001, Cohen’s d = 2.01).
Post hoc analyses confirmed a highly significant effect of both block (F(5, 355) = 105.79, p < 0.001) and discrimination (F(1, 71) = 54.01, p < 0.001), with lower overall accuracy in the incongruent condition than in the standard condition.
Suppression of TNFα or IL-1β was found to be highly significant ( p < 0.001).
This correlation to infants’ serology remained highly significant (p < 0.001) for all HPV types at the 6-month FU (p < 0.001): HPV6 (r = 0.266), HPV11 (r = 0.344), HPV16 (r = 0.321), HPV18 (r = 0.220) and HPV45 (r = 0.259).
A one-way ANOVA revealed a highly significant main effect of anatomical site on intercalated duct diameter (F(5, 54) = 409.4, p < 0.001, partial η2 = 0.974).
A highly significant difference among treatment groups ( p < 0.001) was observed (Fig. 4 ).
According to Supporting Table 2, Mann-Whitney U and Chi-Square tests showed that while some ECG features (e.g., SD2, Mean_RR) lacked statistical significance ( p > 0.05), several EEG features (e.g., HiguchiFD_2, HiguchiFD_7) were highly significant (adjusted p < 0.001).
Results were considered highly significant if p < 0.001.
PRAL, NEAP and DAL score were significantly different in DAL quartiles, with an increasing trend (p < 0.001).
Analysis of variance for IC and DI indicated that the genotypes (G), environment (E), and G × E effects were highly significant (p < 0.001; Supplementary Table 2 ).
At baseline, there was a modest but highly significant effect of genotype on body mass (WT mice, 26.96 ± 0.21 g, n = 77; Mc3r TB/TB mice, 29.93 ± 0.36 g, n = 79, p < 0.001).
Statistically significant changes were classified as significant (*) where p < 0.05, more significant (**) where p < 0.01 and highly significant (***) where p < 0.001 as compared with control group.
Moreover, monocyte and red blood cell counts showed highly significant differences between the factories both before and after the employment period ( p < 0.001).
The 100 μmol/L apigenin treatment led to a substantial and highly significant (P < 0.001) increase in sperm membrane integrity compared to control, improving from 40% integrity in control to 68% integrity with 100 μmol/L apigenin (Fig. 3 a).
Bartlett’s test of sphericity was highly significant in both cases (χ 2 = 3903.1 and 3659.8, p < 0.001 for pre- and post-monsoon seasons respectively) (Table S6 ), indicating sufficient intercorrelation of variables and proving applicability of the PCA technique.
The number of inpatients, monthly ED shifts, and daily self-study time decreased annually, and each item showed a negative trend ( p < 0.001).
0.5 mM) resulted in a highly significant increase (P<0.001) compared to the solvent-only control (n = 10, SEM = 0.20, d.f. = 45, CV = 19%) ( Fig. 3a ).