Excerpts

As shown in Table 4 , regarding compressive strength, splitting tensile strength, flexural strength, and the comprehensive index, both the water-to-binder ratio and fiber content exhibited highly significant effects ( p < 0.01).

A crucial finding is that all linear terms, as well as binary and ternary interaction terms (AB, AC, BC, ABC), are highly significant ( p < 0.01).

Statistically, the control group had a significant trend p = 0.03, while the decrease in the BI of the test group tends to be significant p = 0.06.

Correlation between baseline graft height and vertical change at the latest follow-up displayed slight significance when considering change in mm, but not in % ( p = 0.04 and p = 0.30, respectively), suggesting that vertical graft changes are fairly independent of baseline graft height ( Figure 6 A,B). 4.

Specifically, the filler-to-binder ratio is an extremely significant influencing factor ( p = 0.02), and the crumb rubber content exerted a marginally significant effect on the friction properties ( p = 0.044387, which did not meet the significance criterion after correction).

The exposure time parameter showed borderline significance ( p = 0.046), suggesting that the curing time may limit chain mobility.

For the elasticity modulus, the p -value was at the limit of significance ( p = 0.0482). 3.2.1.

Data reported in Figure 7 show a clear trend of an increment of doubling ( p < 0.05) in the impact strength with the agar addition (5 wt%–10 wt%).

Two-way ANOVA revealed that both initiator content and polymerization temperature exerted highly significant main effects ( p < 0.05) on compressive, flexural, tensile, and bond strengths.

The polynomial equation describing the model is highly significant ( p < 0.05), with a precision of Adeq (above 4).

The difference was considered to be significant and highly significant when p < 0.05 and 0.01, respectively. 3.

Parameter P indicates the significance of a parameter (in this work, the parameter was the direction, X or Y ), where 0 ≤ P ≤ 0.01 indicates highly significant; 0.01 < P ≤ 0.05 indicates significant; 0.05 < P ≤0.20 indicates weakly significant; 0.20 < P ≤ 1 indicates not significant.

p < 0.05 was considered as significant and p < 0.01 was considered as highly significant (ns—not significant, * p < 0.05, and ** p < 0.01). 3.

The energy yield showed a trend of significant ( p < 0.05) decreasing value along with the increase of the process temperature ( Figure 2 , Table A11 ).

Crucially, the sequential NaOCl+HP treatment resulted in a severe, highly significant drop in absolute Ca (15.40%) and P (9.90%) levels ( p < 0.05).

For the flexural strength, the results showed a decreasing trend with increasing amounts of phytoncide ( p < 0.05; Figure 2 B).

No statistically significant difference was apparent between the groups for either material ( p > 0.05).

A probability ( p ) value ≤ 0.05 was considered statistically significant, p ≤ 0.01 highly significant, and p > 0.05 not significant. 3.

However, no significant difference was apparent between the BMP-2 and the sham groups ( p > 0.05), indicating that BMP-2 alone did not significantly enhance osteogenesis ( Figure 4 A).

The MOR 15 values showed highly significant ( p < 0.05, F -test ANOVA) differences between different sizes of dimension lumber, except pairs 2 × 3 vs. 2 × 4 of grade No. 3, and 2 × 4 vs. 2 × 6 of grade No. 3 ( Table 3 ).

Regression analysis performed on the penetration experimental data under both 0.5 h and 24 h thermal storage conditions reveals that the developed models are highly significant ( p < 0.05).

When p < 0.01, the model is considered highly significant; when 0.01 ≤ p ≤ 0.05, it is considered significant; and when p > 0.05, it is deemed not significant.

There was a highly significant difference in pH among the three groups ( p ≤ 0.05). 3.2.

As shown in the table, the model is highly significant ( p < 0.05), whereas the lack-of-fit and other non-significant terms exhibit p -values greater than 0.05.

The significance of each factor on the response value was evaluated using the p -value: p < 0.01 indicates a highly significant effect; 0.01 < p < 0.05 indicates a significant effect; and p > 0.05 indicates no significant effect [ 27 ]. 2.3.3.