Highly significant main effects of cell line (F = 428.7, p < 0.0001), ICG concentration (F = 312.4, p < 0.0001), and time after irradiation (F = 189.6, p < 0.0001), a significant line × concentration interaction (F = 67.3, p < 0.0001) confirmed the difference in sensitivity.
Excerpts
The study group ( Table 2 ) showed a highly significant postoperative increase in both CRP ( p < 0.0001) and IL-6 ( p = 0.0092) concentrations.
Multiple regression analysis of the experimental data yielded the following second-order polynomial equation (Equation (1)), which describes the relationship between the response variable and the independent variables: (1) Oil yield (%) = 33.84 + 0.5783A + 0.8342B + 0.4008C + 0.8633D + 0.5550AB + 0.2425AC + 0.1675AD + 0.6150BC − 0.2725BD + 0.2550CD − 2.08A 2 − 1.31B 2 − 2.09C 2 − 1.32D 2 As shown in Table 3 , the regression model was highly significant ( p < 0.0001), while the lack-of-fit test was not significant ( p > 0.05), indicating that the model is statistically valid and well-fitted to the experimental data.
The analysis of variance of the response surface quadratic regression model showed that the model was highly significant ( p < 0.0001) with a high F-value of 32.31.
Second-order polynomial models fitted to both responses were highly significant ( p < 0.0001) with non-significant lack-of-fit terms; R 2 values of 0.9764 and 0.9865 confirmed adequate model fit ( Table S5 ).
The predicted quadratic models were fitted due to their highly significant ( p < 0.0001) and excellent determination coefficient (R 2 = 0.9944).
The result showed that model of each class diisocyanates was highly significant, with a p -value < 0.0001.
However, the production of xylanase mainly depends on the moisture level, as the quadratic and linear effects of this factor were highly significant ( p < 0.0001), confirming the single-factor experiment results ( Table 2 ) and the influence in the metabolic rate of the interaction between these two parameters.
Statistical analysis confirmed that IC 50 treatment caused a highly significant increase in intracellular ROS generation compared with the untreated control group (0 μg/100 μL; **** p < 0.0001).
Several compounds such as 6 , 15 , and 18 (10–20 mg/kg; s.c.; b.i.d.) showed highly significant inhibitory activity ( p < 0.0001) and at a level approaching that of the MR-1 anti-CD154 antibody used as positive control ( Figure 6 ). 3.
As analyzed using ANOVA ( Table 2 ), the models were highly significant with very low p -values ( p < 0.0001) with R 2 value 0.9892, 0.9832, and 0.9849, respectively, for the extraction of the components.
Highly significant differences ( p < 0.0001) were observed among all sample types across all parameters, indicating substantial textural modifications resulting from blend composition.
Table 4 shows that one linear (A) and two quadratic variables (A 2 and B 2 ) were significant at p < 0.001, two linear terms (B, C) were significant at p < 0.01, and one interaction (AB) was significant at p < 0.05 while one quadratic variable was highly significant at p < 0.0001.
The model was found to be highly significant, as evidenced by the results of an F-test, which gave an F-value of 1655.45 ( p < 0.0001).
The extraction temperature ( X 2 ) and time ( X 3 ) showed a highly significant impact on the extracted amount of rhein because of their p -values of <0.0001.
The ANOVA of the quadratic regression model demonstrated that the model was highly significant with a very low p -value ( p < 0.0001) through F -test.
The experimental conditions exerted a highly significant overall effect on the biomarker panel (Wilks’ λ test, F(77, 115.3) = 3.518, p < 0.0001).
The ANOVA data indicated that this regression model was highly significant ( p value < 0.0001) with an F value of 84.71.
The interaction terms were also highly significant, including treatment × cell type, F(5, 48) = 13,118, p < 0.0001; treatment × time, F(5, 48) = 22,079, p < 0.0001; cell type × time, F(1, 48) = 36,270, p < 0.0001; and treatment × cell type × time, F(5, 48) = 6897, p < 0.0001.
The ANOVA results ( Table 1 ) suggest that the model was highly significant with a high F value (F model = 62.16) and a very low probability p -value ( p < 0.0001) [ 21 ].
Based on the results, it showed that the model is highly significant when the computed F -value is greater than the tabulated F -value and the probability value is low ( p < 0.0001), indicating that the individual terms in each response model were significant on the interaction effect.
Generally, temperature linear terms (X 3 ) were highly significant ( p < 0.0001) for most responses, except for FRAP and cyanidin-3-rutinoside responses.
Besides, the interaction effects of extraction temperature and ratio of water to raw material (X 1 × X 3 ) were also extremely significant ( p < 0.0001).
Spermatozoa treated with TTO showed a decreasing trend for TotM ( Figure 3 A) already at 0.4 mg/mL, statistically appreciable only from 0.8 mg/mL ( p = 0.0003).
A Kruskal–Wallis test revealed highly significant differences in yield among climate zones (H = 19.119, df = 3, p = 0.0003) ( Table 7 ).