“highly significant”

Feedback recipients, in contrast, showed a highly significant Outcomes x Timing interaction, F (1, 116) = 19.6, p < .001, η 2 = .14.

spinosum were positively correlated (R = 0.76 to 0.85) to AZA-1, -2 and -33 quantities ( Fig 8 ), and Pearson's product-moment correlation tests revealed highly significant correlations (p ≤ 0.001) between the four variables.

The overall survival analysis across the three groups was highly significant ( p < 0.001).

During the growing season diurnal changes in thickness of a dead outer bark sample (thickness 3.5 mm) closely followed changes in RH, and Pearson correlation coefficient between detrended bark diameter variations and RH was highly significant ( r =0.923, P <0.001; Fig. 4a-b ).

As shown in Supplementary Figure 1 , the correlation was highly significant ( P =0.001, <0.0001, <0.0001, and 0.002 for let-7g, let-7f, miR-26a and miR-107, respectively).

The group × time interaction was highly significant ( B = −29.8, 95% confidence interval (CI) [−34.1, −25.5], p < 0.001), indicating the intervention's effectiveness in enhancing staff perceptions of empowering leadership behaviors.

In a recent study, patients completed questionnaires before and after observing 3D models of kidneys before partial nephrectomy surgery, and the results showed a highly significant increase in the understanding of the patients in all categories considered ( p < 0.001).

for all parasites combined) differed significantly between countries, and there was a highly significant interaction between country and sampling period, indicating that seasonality in prevalence is site-dependent (GLM Chisq tests: Country: P < 0.001; Sampling Period: P = 0.059; Country * Sampling Period: P < 0.001).

TGF- β 1 expression in CKD tissues was higher than that of normal kidney tissue, with a highly significant difference ( p < 0.001, Figure 1(b) ).

Regarding the magnitude and significance of the changes, all differences were highly significant in statistical terms ( P <.001) because of the large number of users and because of consistent trends among users (the vast majority of users changed their step counts in the same direction, even for small changes).

ANCOVA (Repeated measures) on adrenaline taking the four levels of observation showed a highly significant ( P = .001) drop in the IAM group.

The difference remained highly significant after multiple logistic regression analysis and Bonferroni correction [ p < 0.001 OR = 38.2 95% CI (17.57–83.04)].

Estradiol concentrations identified highly significant differences among the three groups ( p < 0.001) ( Table 1 ).

For example, Pb shows a highly significant correlation with Cd (r = 0.914, p < 0.001), Cr (r = 0.678, p < 0.001), Cu (r = 0.784, p < 0.001), Ni (r = 0.679, p < 0.001), Sr (r = 0.459, p < 0.05), and Zn (r = 0.842, p < 0.001).

The 30-day mortality and 1-year mortality showed a highly significant difference correlating with the stage of CKD ( p < 0.001) (see Supplementary Materials, Table S6 ).

The ACs measured by the two observers showed a highly significant Spearman’s rank correlation with a coefficient of 0.74 (95%-CI 0.48 to 0.88, p < 0.001) and a very good ICC of 0.92. 2) Inter-Observer Agreement of the HRI In healthy individuals, the mean difference of calculated HRI-values was 0.17 (95%-CI 0.11-0.22), which is 14% of the mean (95%-CI 10-18.7%).

Furthermore, the Pearson correlation analysis revealed highly significant (p<0.001) positive correlations of grain yield per plant with the yield components, 100 seed weight, number of seeds per plant, number of seeds per pod, and number of pods per plant at Sékou, Savè and across environments ( Table 5 ).

The differences in total genetic variation partitioned into two levels (among populations and within populations) were tested According to the analysis, there was a higher variation within (80%) and a lower one among populations (19%) All values were highly significant (p < 0.001) ( Table 5 ).

The results of multiple linear regression analysis showed that there was a significant positive correlation between nitrogen application rate and dry matter quality score (β = 0.658, p = 0.004) in 2021, and a highly significant positive correlation between nitrogen application rate and dry matter quality score (β = 1.435, p = 0.001) in 2022 (Table S1).

The interaction between the morality denoted by the adjective and its valence was highly significant, F 1,35 = 12.26, p = 0.001.

Reduction in NRS scores (Table 2 , Figures 1 , 2 ) was better in Group HD compared to Group LD at one week, one month, three months, and six months post-procedure, all differences being highly significant ( P < 0.001).

Croatia had significant ‘other’ mortality in 2021 due to highly significant positive rates of excess diabetes mortality in both 2020 and 2021 ( p < 0.001), while though in most countries rates were positive, they were low.

F st value was 0.2290, R st value 0.1067 and AMOVA 22.90% ( F st ) and 10.67% ( R st ), all being highly significant (p < 0.001).

The p for trend remained highly significant ( p < 0.001) in all models except Model 2 ( p = 0.11), which still showed elevated point estimates.

The correlation between the usefulness rating and the modified DISCERN score and the GQS was moderately negative ( r = −.474 and r = −.450, respectively) and highly significant ( p < 0.001 for both; Table 5 ).