In the same vein, IR power exhibited highly significant pairwise differences across all levels (200, 400, and 600 W; p < 0.001).
Excerpts
On ASVAR the test reveals a highly significant effect of task type ( F(2,\,15) = 274.0 , p < 0.001 ): forgery detection ( , σ = 0.24 ), biometric identification ( , σ = 0.30 ), and forgery source identification ( , σ = 0.24 ) are mutually and significantly separated (all pairwise t -tests: p < 0.001 ).
Notably, the allelic variants Affx-92508758, Affx-92648213, Affx-92552606, Affx-92552137, and Affx-92213550 exhibited highly significant associations with sodicity tolerance ( p < 0.001; Fig. 10 ).
Two-way ANOVA showed that both of carbon source and oxygen level exhibited highly significant effects on μ max and glutamate production, as did their interaction ( p < 0.001***) .
The difference was highly significant (Wilcoxon signed-rank test: p < 0.001).
When all the clinical characteristics were included in the logistic regression analysis, the regression model remained highly significant (p < 0.001), and the accuracy of the model increased to 93.3%.
Results Water physicochemical properties Electrical conductivity (EC), Ca + Mg, Na, HCO3, Cl, and SAR all indicated highly significant ( p < 0.001) changes between locations, according to a one-way ANOVA.
Results The analysis revealed a highly significant difference overall RMSE between the two response Methods (F(1,18) = 22.96, p < 0.001).
The performance of BPL in modeling the beta DTAR and its parameter ranges Regarding the beta-diversity scaling of DTAR, the same BPL, utilized for describing the alpha-diversity DTAR as described above, also fits to the beta-diversity DTAR of the 32-healthy cohort dataset extremely significant with all p- values < 0.001 for 250 tested models.
While season showed marginal significance (GLMM: χ 2 (1) = 15.69; p < 0.001), its effect was most pronounced in interactions.
Genetic subdivision was highly significant between regions ( F CT = 0.882, P < 0.001 for mtCOI; F CT = 0.713, P < 0.001 for nrITS), indicating a high level of geographical population structure.
Specifically, the main effect of RPCE concentration on pollutant removal was highly significant ( p < 0.001 ).
MGEs were also significantly associated with ARGs (M2 = 0.695, P = 0.024) and showed a highly significant correlation with MRGs (M2 = 0.601, P < 0.001).
The results reveal a highly significant effect of filler loading on all measured properties, including tensile strength (F = 72.58, p < 0.001), Young’s modulus (F = 107.35, p < 0.001), strain at rupture (F = 272.20, p < 0.001), and toughness (F = 312.98, p < 0.001).
Herbicide treatment had a highly significant effect on all yield parameters (p < 0.001), whereas the main effect of year was not significant.
Finally, the main effect of cue type was highly significant, F (1, 82) = 79.26, p = 0.001, η p 2 = 0.49, with greater mean |IRI error | when the pacing cue was a metronome (4.0% ± 0.9) than when it was a song (0.6% ± 0.2).
Although the classical models like SVM, Naive bayes, random forest, and XGBoost have a non-significantly improved p -value = 0.1 and even more complex models like GRU, Bi-GRU, and BERT have only marginal statistical relevance ( p = 0.08–0.15), the model has highly significant p -value = 4.87 and p = 0.001, which is supported by a Wilcoxon = 3.92 and p = 0.019.
CRP levels decreased significantly in both groups, though the magnitude of reduction was substantially greater in the atorvastatin group ( p < 0.001), resulting in a highly significant between-group difference at 6 months ( p < 0.001).
Relationship between Serum ferritin and demographic, transfusion, chelation characteristics and disease complications There was highly significant positive correlation between serum ferritin and each of age (r = 0.43, p < 0.001) and liver iron content (r = 0.79, p < 0.001) and highly significant negative correlation between serum ferritin and each of age of start transfusion (r = −0.56, p < 0.001), frequency of transfusion (r = −0.58, p < 0.001), age of start chelation (r = −0.52, p < 0.001), compliance (r = −0.52, p < 0.001) and cardiac T2* (r = −0.56, p < 0.001) (Figs 1 and 2 ).
Analyses performed using a statistical program (Design-expert 6.0) revealed highly significant outcomes with P-values <0.001 (Supplementary Table 5 ).
6B ), which was also highly significant (p < 0.001).
Analysing the two sampling intervals separately showed a highly significant relationship of detected numbers of pesticides and agricultural production area in May ( p < 0.001) but not in August (SOM Table A8 ).
After the remineralization phase, one-way ANOVA revealed a highly significant difference among groups for all measured elements ( P < 0.001).
All sequential improvements are highly significant (p < 0.001, McNemar’s test), confirming that gains from class balancing, eGFR regression, and monotonicity enforcement are not due to chance.
The difference is large and highly significant ( p < 0.001).