“highly significant”

Carrying out the same analysis on recognition data revealed even more pronounced results: Participants in the free-viewing condition recognized on average 14.6 billboards ( sd = 3.25; recognition_rate free-viewing = 0.73) compared to only 7.1 billboards recognized in the trash-counting condition ( sd = 3.68; recognition_rate trash-counting = 0.35), which is a highly significant difference ( t 38 = 6.78, p < 0.001, d = 2.14, see Fig 2 , right panel).

Survey method remained highly significant ( F = 5.74, R 2 = 0.087, p = 0.001), and the proportion of variance explained increased slightly.

This new model showed a substantial increase in statistical significance, reaching a highly significant level ( p < 0.001) as indicated in Table S4 .

One-way ANOVA revealed highly significant differences between mMRC grades ( F = 52.36, P < 0.001).

Specifically, compared to traditional spatial filtering methods CSP and FBCSP, the differences are highly significant ( p < 0.001), with effect sizes of 3.67 and 2.29 respectively, showing that MCFANet has clear advantages in feature extraction.

In the variance analysis applied to the whole data set ( Table 4 ), the effects due to the clones and the treatments as well as the clone x treatment interaction were highly significant (p<0.001).

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).

The significance of associations between variables were as follows: in the metabolism of carbohydrates and in the transcription and translation, highly significant in both ( p -value < 0.001); in the biosynthesis of amino acids, not significant ( p -value > 0.05); and in the metabolism of energy, marginally significant ( p -value slightly greater than 0.05).

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).

A more detailed analysis of the Ki67, BrdU, and GFAP triple IF found an overall highly significant difference in the proportions of cell types between Tam-Idh1-KIs and controls (χ 2 5 = 43, 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.

1 A, there were no significant age differences across groups (one-way ANOVA, p = 0.507); however, sex differences were highly significant (Chi-squared tests, p < 0.001): while a majority of participants from the no tinnitus group were female (~ 57%), ~ 85% of those with chronic tinnitus were male (Fig. 1 B).

We found 558 contigs with highly significant correlations (p < 0.001); 206 of these were positively correlated, while the remaining 352 were negatively correlated ( Supplementary Table S3 ).

, 2010 ), representing a highly significant over-representation of cell cycle-regulated genes ( P -value <0.001) ( Supplementary Table S3 ).

Highly significant ( P < 0.001) positive correlations were seen between different developmental stages in the same location (Figure 1 ).

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.

Phenotypic diversity and GWA study The analysis of variance revealed a highly significant ( P < 0.001) variability due to the genotypes for all traits (Table 1 ).

Results There was a highly significant effect of treatment water on the percentage time that larval clownfish spent in the water stream containing predator odour ( F 1,57 = 125.91, p < 0.001), but no effect of test water ( F 1,57 = 0.20, p = 0.66) and no interaction ( F 1,57 = 0.06, p = 0.81).

This overlap between cohort 1 and cohort 2 was highly significant ( P <0.001) (permutation test, based on 1000 random shufflings of H3K4me3 peaks genome-wide).

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).

9 , 17 , 32 Brain regions showed highly significant difference in telomere length ( P <0.001), with SN having the longest telomeres (average length=58.14) and DLPFC the shortest (average length=2.26) ( Figure 1 ).

This found a highly significant effect of Picture Type in REACT+PE (F(3,57)=8.841, P <0.001, η p 2 =0.318), with non-significant effects of Picture Type in the Control (F(3,54)=2.336, P =0.109, η p 2 =0.115) and REACT no PE Groups (F(3,57)=2.653, P =0.086, η p 2 =0.123).

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 ).