Excerpts

All correlations were highly significant (p < 0.0001).

Post-facto calculation for this restricted TIR (rTIR), revealed extremely significant differences between the groups and across days (Two-way ANOVA, main effect, cohort: p < 0.0001; main effect, day: p < 0.0001, interaction cohort × day: p < 0.00001, Supplementary Fig.

The conclusion about the difference in the richness of ground cover species under the different tree dominant canopies remains highly significant (P < 0.0001) for any block size (5 × 5, 10 × 10, or 20 × 20 m) in an ANOVA with mixed effects regarding the spatial connectivity of plots.

The difference between 1 μg and 2 μg PFF was not significant (0.41 uint8 increase, p = 1.0), 2 and 4 μg PFF was quite significant (8.87 uint8 increase, p < 0.0001), and 4 and 6 μg PFF was not significant (1.27 uint8 increase, p = 0.89).

The effect of adapting speed was highly significant in ANOVA (F(2,8) = 142.57; p < 0.0001; effect size η 2 p = 0.97).

Furthermore, in all four regions, pairwise comparisons (Dunn’s test) of the frequency distributions of TBA values among locations with defoliation, mortality, or no damage showed highly significant ( p < 0.0001) differences between the three groups (Fig. 5 , Table 2 ).

4 B C = 82.39 + 1.11 e - 5 C - 87.96 d - 1.44 t - 0.61 e - 5 C d - 0.01 e - 5 C t + 1.83 d t + 10.28 The prediction model was highly significant (p < 0.0001).

ventralis with Y2 were highly significant ( p < 0.0001) (Fig. 4 ), and A . wilkella was recorded exclusively in the samples of this subcluster.

3 F) demonstrate highly significant reductions in TRAF3IP2 (4IC SCR : 75 ± 1% vs. 4IC TRAF3IP2KD : 45 ± %), NAMPT (55 ± 1% vs. 10 ± %), and SIRT1 (65 ± % vs. 40 ± %); p < 0.0001.

The ANOVA showed that the P -value for the regression model was highly significant ( P < 0.0001), while the model’s lack of fit was not significant ( P = 0.1138 > 0.05), indicating that the model effectively fitted the linear relationship between TFC from E. breviscapus and the tested factors.

Statistical analysis via two-way ANOVA followed by Dunnett’s multiple comparisons test confirmed the significance of these observations ( P < 0.05), with highly significant differences (**** P < 0.0001) between controls and bacterial treatments in arsenate conditions.

InsuTAG scores ranged from 0.55 to 132.07 across the whole participant group with a median (25 th –75 th percentile) InsuTAG score of 7.22 (4.04–11.33) There is a strong and highly significant positive correlation between InsuTAG and HOMA-IR (r = 0.86; p < 0.0001) (Fig. 1 ) when compared with the association between HOMA-IR and the other lipid indices, TyG index (triglycerides × glucose) (r = 0.43; p < 0.001) and TG/HDL-C ratio (r = 0.38; p < 0.001) (Table 2 ).

Analysis of variance (Table 3 ) revealed that the reduced quadratic model was highly significant ( p < 0.0001), with a non-significant lack of fit, a high correlation coefficient (0.9726), and a high adequate precision ratio (APR) of 16.48.

Among them, G exhibited an extremely significant effect on the angle of repose ( p < 0.0001), whereas F and J showed significant effects ( p = 0.0279 and 0.0155, respectively).

The DPPH assay revealed a highly significant treatment effect by one-way ANOVA (F (6,14) = 82.40, p < 0.0001), accompanied by a substantial effect size (η 2 = 0.972; 95% CI: 0.93–0.99).

Such a mechanism is further suggested by the highly significant regressions (p<0.0001) between log(pCO 2 ) and the estimated contribution of carbonate weathering to TA (R 2 = 0.38), or with Si/Ca 2+ ratios (R 2 = 0.35), i.e.,rock weathering would explain close to 35% of the variance of pCO 2 .

For the square-wave condition, the ANOVA on phase was highly significant, F(18, 198) = 15.8, p < .0001, indicating that the proportion of responses varied as a function of the phase.

The linear regression analysis of the data showed a strong and highly significant relationship between TPI measures across the two epochs, as described by a slope value of 0.88 and a R 2 of 0.85 (F = 140.98, p < 0.0001; Fig. 5B ), with all data points laying either in the upper right quadrant (consistent preference for Reach-to-Press) or in the lower left quadrant (consistent preference for Reach-to-Grasp).

controls, was markedly significant (respectively, 334 out of 402, or 83.1% vs . 18 out of 210, or 8.6%; p < 0001).

The improvement of the score per case was highly significant (p = 0.0001).

Interestingly, over 30% of our RA cohort displayed anti-IL-2/IRF5 Abs in a highly significant double positivity ( p < 0.0001) and a more frequent multiple seroreactivity was observed in RA patients compared to healthy controls (Table 1 ).

With respect to X 0 , all variables were highly significant (P < 0.0001) and were therefore included in the final model (detailed in Supplementary information: model outputs).

Importantly, this relationship remained highly significant in the time-adjusted model (β = 0.000177, 95% CI: 0.000113–0.000242, F = 29.8, p < 0.0001), indicating that the structure-function correlation persists even after controlling for temporal changes during the recovery process.

The analysis of variance confirms that the model is highly significant as is evident from Fisher’s F -test (104.99) and a very low P -value < 0.0001.

The number of metaphases present in the control population peaked at 9 h (11.5%) while cells cultured in 100 nM panobinostat showed a highly significant reduction in metaphase cells (p < 0.0001), confirming the reduced mitotic entry observed by histone H3 phosphorylation.