“highly significant”

The findings reveal highly significant effects ( p < 0.001) of both site and season on the physiological characteristics of young argan plants.

Results Water physicochemical properties Electrical conductivity (EC), Ca + Mg, Na, HCO3, Cl, and SAR all indicated highly significant ( p < 0.001) changes between locations, according to a one-way ANOVA.

The comparison resulted in highly significant differences ( p < 0.001) using the direct comparison of groups with the Mann–Whitney U test and using the Kruskall–Wallis H test (multiple comparisons).

The comparisons between the clinical model and the cli-radiology model, the clinical model and the cli-pathology model, and the cli-radiology model and the combined model all demonstrated highly significant differences (all p < 0.001).

4 ) Predictors of overall vaccine hesitancy The final multiple regression model predicting Overall Vaccine Hesitancy scores was highly significant, F(15, 314) = 55.62, p < 0.001, accounting for a large proportion of variance (R2 = 0.73; adjusted R2 = 0.71).

A highly significant main effect of the within-subject variable PHASE was also observed [ F (2, 68) = 22.49, p < 0.001], but there was no reliable 2-way interaction between PHASE and either of the two group variables [PHASE × WORD: F (2, 68) = 2.52, p = 0.09 PHASE × LEXICAL: F (2, 68) = 1.20, p = 0.31].

Although the total AE prevalence did not increase with age ( P = 0.35), a highly significant difference in the total CE prevalence was evident between younger and older students ( P < 0.001) (Table 2 ).

Relative Roles of Geographic and Environmental Isolation in Shaping Genetic Differentiation Mantel tests ( Figure 5 a,b) revealed a highly significant positive correlation between genetic and geographic distance ( r = 0.7274, p < 0.001), and a significant positive correlation between genetic and environmental distance ( r = 0.3613, p < 0.05).

We found that all evaluated trauma score values for non-survivors were statistically highly significant for mortality (p<0.001) ( Table 2 ).

The overall comparison revealed a highly significant difference among the groups (F = 314.675, p < 0.001).

The regression coefficient was positive and highly significant ( b ∗ = 0.986, p < 0.001; R 2 = 0.973, p < 0.001).

This analysis yielded a highly significant difference in reaction times, t (49) = −6.31, p < 0.001 ( Table 3 ).

The fitted positive relationships of observed N area to both observed LMA (Figure 1a ) and V cmax25 (Figure 1b ) were highly significant ( p < 0.001), but the explanatory power of the relationship to LMA was substantially larger than that for V cmax25 (Figure 2 ).

We observed a strong, highly significant correlation between total‐Tau and Non‐P‐Tau ( rs = 0.8577, P < 0.001), but only weak, though significant, correlation between P‐Tau and Non‐P‐Tau ( rs = −0.21, P = 0.043).

In addition, the type of closure showed a highly significant difference ( P = 0.001), as extra-peritoneal closure was predominantly used in rectal tumors (78.8%).

Results The CEUS-assessed perfusion differences between aseptic and infected knees after total knee arthroplasty (TKA) were highly significant (p < 0.001).

This difference was highly significant (P < 0.001).

Across all treatments, smaller individuals had a higher degree of melanism, and the linear relationship between total dorsal surface area and the log-transformed ratio of black to yellow pigment was highly significant ( r 2 = 0.10, P < 0.001).

Correlational analysis revealed a highly significant and strong positive correlation (r=0.809, p<0.001) between both instruments across all IOP categories ( Table 2 ) as illustrated in Figure 1 .

Spearman’s correlation analysis also revealed a highly significant positive correlation between the patients’ knowledge and attitude scores (r=0.21, p=<0.001).

In the present study, WHR was found to be highly significant ( p = 0.001) (Table 2 ).

increasingly complex non-linearities of model stage), stopping at the number of knots that gave the best fitting model (based on linear mixed effect model comparisons, as implemented in the lmerTest package).There was a highly significant main effect of ROI ( F = 330.7, p < 0.001) reflecting the fact that overall model fit decreases as one moves from EVC to pVTC to PrC (which could be because of differences in the level of noise in the fMRI data across these ROIs).

61 The increase in LV mass was also highly significant for the HIV group (p=0.001). 61 No association with ART class was found, but individual antiretroviral agents were not examined.

This analysis revealed a significant main effect of object configuration, F (1.95, 31.20) = 3.53, p = 0.042, η 2 = 0.01, showing somewhat higher accuracies in ungrouped (91.7%) than in diamond (89.5%), left triangle (88.6%), and right triangle (87.9%) configurations, alongside with a highly significant 2-way interaction of object configuration by target, F (3.72, 59.52) = 11.03, p < 0.001, η 2 = 0.06.

If we adjusted for age, gender, pre-admission residence type, type of admission (emergency or not), Charlson co-morbidity index, type of service, and ICU stay, these differences were less pronounced, but still highly significant (adjusted mortality OR (95% CI): 3.18 (2.79 to 3.63), p < 0.001; adjusted HR (95% CI) for ICU discharge: 0.39 (0.36 to 0.41), p < 0.001; adjusted HR (95% CI) for hospital discharge: 0.43 (0.41 to 0.45), p < 0.001; adjusted median difference nursing hours (95% CI): 37.3 (35.0 to 39.5), p < 0.001; adjusted median cost difference [in thousand CHF] (95% CI): 10.0 (9.3 to 10.6), < 0.001).