“highly significant”

For lateral image detection, ANOVA results indicated a highly significant effect of the loss threshold ( F (4,10) = 271.875, p < 0.001).

Statistical significance was classified as * P < 0.05 (significant), ** P < 0.01 (highly significant), and *** P < 0.001 (extremely significant).

We showed a highly significant difference in the prevalence of anti-dsDNA positivity at the time of diagnosis of LN: 48% in MLN vs 92% in PLN ( P < 0.001).

All three independent variables had a highly significant contribution to the model (age and gender together accounted for 18% of the variability, partial correlation between health status and 6MWT-distance = -0.40, p < 0.001).

A repeated‐measures ANOVA revealed a highly significant main effect of state, F(1.80, 1597.20) = 5179.65, p < 0.001 (Greenhouse–Geisser corrected).

Furthermore, a nonpreregistered mixed ANOVA examining the effect of MCQ presentation order ( Supplementary Material B9 ) revealed that, while the date/delay effect was still highly significant, F (1,998) = 264.89, P < .001, η p 2 = 0.21, TD was generally lower in participants who first completed the date and then the delay version (than vice versa), F (1,998) = 12.91, P < .001, η p 2 = 0.01.

IL-6 exhibited a highly significant and inverse correlation with FEV1 ( r =−0.580, P =0.001).

Differences between the groups were not significant at baseline (t = 1.265, P = 0.22) and 24 h (t = 1.962, P = 0.07), but became highly significant at 48 h (t = 5.885, P < 0.001), 72 h (U = 0, P < 0.001), and 96 h (t = 9.132, P < 0.001) (Fig. 8 A).

The main effect of time was highly significant (admission vs. follow-up: β = 4.778, P < 0.001; pre-discharge vs. follow-up: β = 2.407, P < 0.001), reflecting substantial pain reduction over time in both groups.

Differences were considered statistically significant at p < 0.05 and highly significant at p < 0.001.

In primordial follicles, BMAL1 and CLOCK increases were significant (p<0.05) and CRY-1 and PER-1 were highly significant (p<0.001), and CRY-2 did not reach significance.

Additionally, the ANOVA results of the model revealed that the effects of ethanol volume fraction, solid-to-liquid ratio, and extraction time on CE were highly significant ( p < 0.001).

Among the identified candidates, MUC16 showed a highly significant association with poor overall survival (p < 0.001) and a hazard ratio (HR) of 1.04 (95% CI = 1.015-1.208), suggesting a potential role as a tumor-promoting factor.

RASF showed a highly significant (p < 0.001) lower mean than OASF.

The increase in PRP treatment side was found statistically highly significant ( p <0.001).

Indeed, even for the Lateral targets, a situation that needs a priori reduced APA because of the advantages of the gravity effects on the frontal plane during the SP (Patla et al., 1993 ; Lepers and Brenière, 1995 ; Lyon and Day, 1997 ; Sparto et al., 2014 ), this difference is highly significant ( p < 0.001).

When combining all five families selected, the percentage of early flowering individuals in the early flowering epimutant lines (74.5%) was nearly six times the percentage of control lines (13.3%, Table 4 ) and a highly significant difference ( p < 0.001) was detected between early flowering families and the control.

Comparison of thrombus distribution characteristics by risk stratification Highly significant differences in thrombus distribution across pulmonary lobes and vascular levels were observed among the different risk stratification groups (all p < 0.001).

Moreover, the results demonstrated that LKS at 6 months postoperatively had significantly improved in both groups, with a highly significant difference compared with preoperative scores (both P < 0.001; Table 3 ).

The fitting results show that the coefficient of determination R 2 of the obtained linear model is 0.9936 (adjusted R 2 = 0.9928), which is close to the theoretical maximum of 1, indicating a highly significant linear correlation between displacement and stress ( P < 0.001).

Glucose levels were affected by both fat and leucine, with a highly significant interaction ( P < 0.001).

After adjusting for age, sex, RVO type, and disease duration, the Group × Time interaction remained highly significant for BCVA and foveal thickness (both p < 0.001).

When data from all three groups were pooled, highly significant correlations (all p < 0.001) were confirmed across the spectrum of BA volumes: larger volume was associated with lower intra-aneurysmal velocity ( r = −0.821) and TAWSS ( r = −0.866), and higher OSI ( r = 0.901) and RRT ( r = 0.939).

At the group level, a highly significant negative association was observed ( ρ = −1.0, p < 0.001), indicating that Chinese listeners performed more poorly as overlap scores increased.

A highly significant positive correlation was found between the two datasets ( p < 0.001, Figure 6 ), confirming the accuracy and reproducibility of our transcriptomic profiling. 4.