“highly significant”

Mandibular cortical index Chi-square analysis revealed a highly significant association between Mandibular Cortical Index (MCI) categories and study groups ( p < 0.001) (Table 2 ).

20 We cannot discriminate between the relative impact of epilepsy per se, seizures or ASD therapy on cerebellar dysfunction and atrophy, but the association of cerebellar atrophy and the calculated lifetime drug load of the four most frequent ASDs (carbamazepine, diphenylhydantoin, phenobarbital, and valproate) was highly significant ( p < .001).

A significance level of p < 0.05 was adopted, with p < 0.05 indicating a significant difference, p < 0.01 indicating a highly significant difference, and p < 0.001 indicating an extremely significant difference. 3 Results 3.1 Morphology, swelling properties, adhesion, twisting, bending, and detachment behavior of the hydrogel 3.1.1 Macroscopic and microscopic morphologies The lyophilized BP-QS/TGF-β3 powder appeared light yellow in color, while the hydrated hydrogel was transparent and formed a homogeneous, bubble-free elastic solid after gelation ( Figures 2A-1, A-2 ).

Additionally, there was a positive, strong, and highly significant relationship (r=0.852; p<0.001) between the total scores obtained.

According to the perMANOVA results ( Table 3 ), temperature had the strongest effect on the PC scores, explaining 47.9% of the total variance (R2 = 0.479), showing in parallel highly significant results ( p < 0.001).

On more difficult trials with delays of 21–30 s and five or six images, the overall mean increase of 25% in performance in the normal + CX717 condition relative to normal vehicle condition was also highly significant (mean normal vehicle, 46.7% ± 4.8% versus mean normal + CX717, 71.7% ± 2.4%; F [1,1759] = 26.46, p < 0.001).

This is also supported by the observed statistically highly significant interaction term (p<0.001) between life event stress and the character trait optimism vs pessimism (line 325).

The full model explained 63% of the task-accuracy variance (adjusted R 2 ) and was highly significant (F 4 , 15 = 9.00, p < 0.001).

The data showed a highly significant difference ( p < 0.001) in the total amino acids, total essential amino acids, and total nonessential amino acids of N. oceanica between the different treatments.

Here, highly significant correlations ( p < 0.001) between ELISA and IFA (Spearman r = 0.7984) as well as ELISA and neutralization assay (Pearson r = 0.6432) indicated a high level of agreement between the newly established ELISA and the well-established IFA as well as a previously established neutralization assay.

In all groups, comparisons between Days 1 and 3, and Days 1 and 7 were highly significant (p < 0.001).

Incidence and Risk Analysis of Depression Comparison of Depression Incidence Table 2 demonstrates that the depression incidence in the fetal loss group (35.0%) was significantly higher than in the term delivery group (8.5%), with a highly significant difference ( p < 0.001).

The post-hoc analysis revealed that besides frame two for turning angle (Holm-Sidak: p = 0.117), all other results were highly significant (Holm-Sidak: p ≤ 0.001).

CAC exhibited marked skewness and required log-transformation; results revealed progression in the non-PTX (6.12 → 6.37, p < 0.001) while the PTX group remained stable (6.92 → 6.90), with a highly significant interaction ( p < 0.001).

The optical intensity was normally distributed and showed a statistically highly significant difference ( p < 0.001) between both groups.

Highly significant growth-rate inhibitions (ranging between 35% and 58%) were observed (one-way ANOVA: F = 51.925, p < 0.001).

There was a highly significant (r = 0.80; p < 0.001) positive correlation between birth weight and birth length.

A strong and highly significant positive correlation was identified between handler substitution (Handler) and both serum cortisol levels (r s = 0.67, p = 0.001) and respiratory rate (r s = 0.66, p = 0.001), linking personnel rotation to heightened physiological stress.

ANOVA analysis for slope increases revealed highly significant group differences [ F (3, 24) = 71.28; P < 0.001].

Non-metric Multidimensional Scaling (NMDS) further revealed highly significant differences in community structure among the different zones of the Xiaolangdi Reservoir (R = 0.7466, p < 0.001; Figure S4A ).

Factor analysis The dataset’s suitability for factor analysis was assessed via Bartlett’s test of sphericity (highly significant, p<0.001), the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (0.96) and measures of sampling adequacy (MSA) (>0.9 for each item).

Bartlett’s test was highly significant (p<0.001) for the dataset, as well as for both subsets.

The presence of an IVF showed a highly significant association with further height loss, with an OR of 163.189 (95%CI: 9.493-2805.209; P < 0.001).

Additionally, Bartlett’s test of sphericity was highly significant ( p < .001).

A result was considered to be significant if the P < 0.05, very significant if P < 0.01, and highly significant if P < 0.001.