A linear regression of relative Firmicutes abundance over time was highly significant (F 1,23 = 20.8, P < 0.001), but this trend appears to be unrelated to the tested interventions.
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Relative elasticity of the subgroups The cumulated paired subgroup analysis with the Kruskal–Wallis test showed a highly significant difference for the clinical evaluation of tissue swelling between the control group and the subgroups grade 2 and 3 (moderate and severe soft-tissue swelling, p < 0.001), whereas the difference was less emphasized but still significant for the subgroup grade 1 (light tissue swelling, p < 0.02).
For instance, on average, participants switched choices 4 times in the entry game (~22%) and 2.7 times in the stag hunt (~14%) (the medians were 3 and 1 respectively), these different frequencies were highly significant (p <0.001).
By performing sensitive sequence analysis using the generalized profile method 12 , we found this structural similarity to be mirrored by a distant but highly significant sequence relationship ( p < 0.001) between these families.
Despite this uncertainty, the result of increasing leaf temperatures through time is highly significant ( p ‐value < 0.001, r 2 = 0.89) and fits a priori expectations based on decreasing water availability and increasing [CO 2 ] (López et al. 2022 ).
However, the decrease in AMH levels with increasing duration of CD disease was found to be highly significant ( r =−0.504 and p <0.001).
Limits of detection were estimated for multiple neurotransmitters with high linearity ( R 2 > 0.99) and sensitivity (as low as 16 pg/μL). Application of multivariate classification led to a highly significant ( P < 0.001) model of PD prediction with a 100% classification rate, which was further thoroughly validated with a permutation test and univariate analysis.
A highly significant main effect was found for the material type (F = 1158.28, P -Value < 0.001*).
Statistical comparison using the paired samples t‐test confirmed this difference to be highly significant (t = -4.395, p < 0.001).
The results showed a highly significant difference (χ2 = 547.45, degrees of freedom (df) = 40, p < 0.001), indicating that microbial distribution varies substantially between departments.
The differences between farms were highly significant ( p < 0.001) for each of the traits.
The APOH transcript was more abundant in liver of Rf + embryos at e13 and e15, as indicated by a highly significant ( P ≤ 0.001) treatment x age interaction.
Clinically, dengue patients presented with fever in all cases (n=334, 100%), whereas none of the controls (0/101) did, showing a highly significant difference (p < 0.001).
Differences in self‐regulated learning, participation and performance The manova with assessment policy as independent variable (IV) and students’ scores on the eight separate subscales of the MSLQ, the three items for participation in scheduled learning activities and average grade as dependent variables (DVs), resulted in a highly significant Box's M (p < 0.001).
1B ), we observed a small (∼30%) but statistically highly significant increase in total lysoPC levels during normal aging (ANCOVA: F = 91.12, p < 0.001; Fig. 1C ) and both sexes were similarly affected.
However, in W4, W8, W12, and W18 AT04A vaccine treated mice showed a highly significant decrease in PCSK9 concentration of 57, 59, 49, and 24%, respectively ( P < 0.001, P < 0.001, P = 0.001, and P = 0.029, respectively) ( Figure 1 B ) demonstrating a consistent and long-lasting effectiveness of the AT04A vaccine ( Figure 1 C ).
An overall model testing for differences in proportion of shared sites among the six age‐sex groups was highly significant ( F 5,1138 = 17.60, p < .001).
The Friedman test revealed no statistically significant difference between HAIBU-ReMUD and ChatGPT-4o ( p > 0.05), while highly significant differences ( p < 0.001) were observed compared to all other models, solidifying HAIBU-ReMUD as the only benchmark-level model consistently maintaining scores above 4.5.
This was statistically highly significant ( P ≤ 0.001).
Fixed-effect analysis: time, POD grouping, and their interaction The main effect of time was highly significant in both the unadjusted and adjusted models (unadjusted: F = 22.099, P < 0.001; adjusted: F = 20.886, P < 0.001; Table 7 ), indicating that CrSO 2 levels changed significantly over the 48-hour postoperative period rather than remaining stable.
This was accompanied by a highly significant (p < 0.001) interaction between grand-maternal diet and age upon phosphorylation of Akt (pAkt ser473 ).
When we restricted the analysis to specimens of centroid size > 10, we obviously lost some statistical power (total df = 26 v 80 for the full sample), and in the reduced dataset, PC1 was marginally no longer significantly different amongst species ( P = 0.061), but PC2 remained highly significant ( P < 0.001).
Nerolidol showed a highly significant positive correlation with β -ionone (r = 1.00, p < 0.001).
The KMO statistic was 0.846 (overall; per-item MSAs ranged 0.777–0.895, all above the 0.70 threshold), and Bartlett's test was highly significant, χ 2 (28) = 14,651.70, p < 0.001, indicating that the correlation matrix was suitable for factor analysis.
These differences were all highly significant ( t =28.5–30.0, all p <0.001), The difference in completion time between the two hands, expressed as a percentage of the summed times for each hand to correct for age‐related differences in overall completion times, was remarkably consistent across the age spectrum and for all peg sizes at around 5%.