Excerpts

meliloti 1021-free plants, redundancy analysis (RDA) revealed that the explanatory effect of the Micromonospora inoculations was highly significant according to the Monte Carlo test for significance of all canonical axis ( F -ratio = 9.920, P = 0.0010).

1 including VTA-NAc was highly significant, i.e. explained significant variability in sugar wanting (R 2 = 0.34, F(3,41) = 7.03, p = 0.001).

A highly significant negative correlation was only observed between the H + concentration relative to the soil pH values and EC in the uncontaminated soil (r=−0.729, P <0.001, n=27).

The t test results for extreme groups indicated that all three configurations achieved highly significant discrimination ( p < 0.001), with Groups C and B showing elevated t values, reflecting superior discriminatory effectiveness.

In an exploratory fashion, we simplified the model by removing the random slope and found that the comparison between accuracies for consistent and inconsistent materials was statistically highly significant, ß = 0.396, SE = 0.0968, z ratio = 4.086, p < 0.001, whereas there was still no consistency effect for scrambled materials ( p = 0.231).

Cleaning frequency also shows a highly significant negative effect ( p < 0.001), indicating the reduction in current with increasing days between cleaning.

Nonetheless, theta SPD from central site had a marginally non-significant interaction effect [F(1, 45) = 4.03; η2 = 0.08], pointing to an actual higher SPD in EC compared to EO only in the FM patients not in use of opioids (p < 0.001).

After the remineralization phase, one-way ANOVA revealed a highly significant difference among groups for all measured elements ( P < 0.001).

The highest average desire score was observed in participants who identified as bisexual, while the lowest desire score was found in the asexual group, with the group differences highly significant ( F (4, 67,330) = 697.4, p < 0.001; η 2 = 0.04).

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 highly significant cell layer effect (p < 0.001) showed that the ganglion cell layer was significantly more affected than outer and inner nuclear layers in both BP groups.

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.

Differences were considered significant if P < 0.05 (*) and P < 0.01 (**) and highly significant if P < 0.001 (***).

Chi-square testing of the association between month and umbilical scar status was highly significant (χ 2 , df = 34, P < 0.001) (Table 2 ).

Bacterial community differences were highly significant between strains from 4 to 20 weeks of age (ranging from p = 0.001–0.01).

Data were statistically analysed following ANOVA one way or two way test, followed by the post-hoc Tukey test, with differences considered significant ( p < 0.05, * or lowercase letter), very significant ( p < 0.01, ** or bold lowercase letter), highly significant ( p < 0.001, *** or capital letter) or very highly significant ( p < 0.0001, **** or bold capital letter).

Correlation among pod set, yield and nut quality traits of BUNSO progeny crosses Highly significant (P < 0.001) and positive correlation was observed between number of pods and pod set, pod weight and pod set, number of nuts per pod and number of pods, number of nuts per pod and pod weight, outturn and pod set, outturn and number of pods, outturn and pod weight, outturn and weight of unpeeled nuts, outturn and weight of peeled nuts (Supplementary Fig.

Furthermore, the interaction effect between depth and surface orientation was highly significant (permutational ANOVA, p < 0.001) throughout most of the study period, indicating that recruitment on a particular surface orientation was affected by depth.

In the depression model for females, age and income were found to be highly significant (p < 0.001).

Two-way repeated analyses of variance (ANOVAs) with within-participant factors of target distance and trajectory for each target type revealed significant or nearly significant main effects of distance for all target types (T: F 1,9 = 42.27, p < 0.001, η G 2 = 0.041; VT: F 1,9 = 11.21, p = 0.009, η G 2 = 0.040; V: F 1,9 = 4.11, p = 0.073, η G 2 = 0.028) and trajectories (T: F 1,9 = 4.79, p = 0.056, η G 2 = 0.013; VT: F 1,9 = 4.10, p = 0.073, η G 2 = 0.006; V: F 1,9 = 10.16, p = 0.011, η G 2 = 0.021).

Within the corresponding reaction time model (VNBRT), the MLDS × Age smooth was even more pronounced, with a highly significant effect, F (7.03) = 7.38, edf = 5.46, p <.001, and greater surface complexity, reflecting a more intricate interaction.

Furthermore, after adjusting sepsis, GI bleed, and HRS diagnosis as covariates, the association between AKI and mortality remained highly significant (adjusted OR = 3.61, 95% CI: 2.14–6.09, p < 0.001), confirming that AKI is an independent predictor beyond these confounders.

One-way ANOVA results in Table 17 reveal highly significant differences across methods (F-statistics 156.92–312.45, all p < 0.001, η 2 = 0.82–0.91), with Tukey HSD post-hoc tests confirming the proposed method’s superiority over all baselines.

There were a significant effect of environment ( P = 0.001) and a highly significant E × S interaction ( P = 0.001), whereas salinity alone did not exert a statistically significant main effect ( P = 0.18).

On average, the follow-back rate by the liberal cluster of noncore accounts is 51.0%, whereas for conservative clusters it is 61.8%, which is a highly significant statistical difference ( t (179774) = –90.26, p < 0.001 (two-tailed), Cohen’s d = 0.40).