Osteoblasts cultivated on TiN coated material revealed a highly significant increased expression of ITG-β1 (2.22 ± 0.42; *** p = 0.0007) and ITG-α1 (2.36 ± 0.28; *** p = 4.37 × 10 −5 ).
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The mean deviation of surface roughness SMD gets highly significant correlation value ( p < 0.001) to tensile properties.
In contrast, the compressive strength ( f u , c ) showed statistically significant main effects of both fibre treatment ( p = 0.009) and fibre content ( p < 0.001), together with a highly significant treatment × content interaction ( p < 0.001).
It can be reported that the electrical resistance was influenced by cyclic straining, which was highly significant at α = 0.05 level-value for the slope and intercept ( p -value < 0.001) (statistically significant).
Overall Analysis of ΔE 00 The three-way repeated measures ANOVA ( Table 2 ) revealed highly significant main effects for Material (F = 184.15, p < 0.001, η p 2 = 0.672), Beverage (F = 472.31, p < 0.001, η p 2 = 0.955), and Immersion time (F = 1165.49, p < 0.001, η p 2 = 0.928).
For measurements taken at the top of the samples, a highly significant effect of material type on the degree of conversion was observed ( p -value < 0.001).
The ANOVA results reveal that the tool-axis orientation is the dominant factor affecting the bottom height deviation (Δ h ), with a highly significant p -value ( p = 0.001).
For fluidity, both fiber length and fiber content show highly significant effects ( p < 0.001).
The statistical analysis revealed a highly significant main effect for the species with F (2, 81) = 178.157 and p < 0.001, indicating that the dependent variable varied substantially across the different wood species.
As shown in Figure 3 a, the results exhibited a highly significant difference in wet shear strength between the SPI/POSS-U/SB-1.5 adhesive and the pristine SPI adhesive (*** p < 0.001).
Most notably, the TTH demonstrated a highly significant divergence between groups ( p < 0.001), with the S group demonstrating the shortest median TTH of 94 s (IQR: 86–98) compared to 256 s (IQR: 245–295) in the C group and 120 s (IQR: 78–131) in the T group, as presented in Table 10 and Figure 6 . 4.
An analysis of these prediction plots and the MLR coefficients in Table 9 reveals the following insights about the principal components: PC1 (Process Intensity Factor) had the largest, and highly significant ( p < 0.001) positive regression coefficient in all three models ( β PC1 : F x = 0.267, F y = 0.266, and F z = 0.218).
However, within the range of 0–0.9 m, the mean deflection values of the sensor-equipped geogrid-reinforced section were 23.1–59.7% lower than those of the conventional section, and all differences were highly significant ( p < 0.001).
The tests of between-subjects effects indicated that Factor A (face yarn type) had a highly significant influence on the thermal resistance of the garment ensemble (F(5,36) = 28.874, p < 0.001, η 2 p = 0.800), upper garment (F(5,36) = 23.768, p < 0.001, η 2 p = 0.768), and lower garment (F(5,36) = 20.668, p < 0.001, η 2 p = 0.742; see Supplementary Table S1 ).
Among the linear terms, feed rate is identified as the dominant factor affecting surface roughness, accounting for 59.00% of the total variation and showing a highly significant p -value ( p < 0.001).
The regression model was highly significant (Wald χ 2 = 57,878.45, p < 0.001), revealing that no effect of defect diagnosis was present, while there was a significant effect of the treatment in both groups, particularly evident over time ( Table 3 ).
For the mean drop angle, there was a highly significant difference between brands (F(2,12) = 192.40, p < 0.001), with a large effect size (η 2 p = 0.97).
The analysis showed that mix proportion exerted a highly significant effect on all three mechanical properties ( p < 0.001).
The interaction is large and highly significant (F = 44.59, p < 0.001; Adj SS = 13.583 MPa 2 , ≈24.8%), confirming that the influence of T depends on the chosen layer height and vice versa.
Additionally, one-way ANOVA revealed extremely significant differences in UCS among different mix ratio samples at each curing age ( p < 0.001), while repeated measures ANOVA confirmed a highly significant increase in UCS with curing time ( p < 0.001).
Below this threshold, at 90 °C, one-way ANOVA showed a highly significant stiffening effect ( p < 0.001): solid wax crystals act as reinforcing fillers.
Welch’s ANOVA revealed a highly significant group effect at 135 min (F ≈ 520, p < 0.001), confirming that the release behavior differed among formulations.
As the correlation between pull-out force and pull-out force per area was found to be highly significant and very strong (Pearson’s correlation coefficient R = 0.970, p < 0.001), pull-out force was used as the only biomechanical parameter for the remaining animals. 2.6.
One-way ANOVA revealed that crack depth had an extremely significant effect on R -value ( F (10, 429) = 35.5, p < 0.001).
The volume increase represents an average growth of 17.52 nm 3 per second and the volume increase is highly significant compared to the first time point ( p < 0.001).