The regression model is highly significant ( p < 0.0001), but the out-of-fit phase is not significant, with R 2 of 0.9741, indicating that the model fits well and can reasonably predict the taxanes yield within the ranges of the variables [ 33 ].
Excerpts
According to the results shown in Table 2 , in the linear terms, pressure (X 1 ), flow (X 2 ), and time (X 4 ) had extremely significant ( p < 0.0001) effects on the yield of RCOO, while the temperature term (X 3 ) was not significant ( p = 0.9802), so its effect on the yield of RCOO was very small.
Highly significant differences ( p < 0.0001) were observed among all sample types across all parameters, indicating substantial textural modifications resulting from blend composition.
One-way ANOVA revealed a highly significant effect of the nanohybrid loading on TPC (F(3,8) = 784.5, 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 developed models were appropriate for demonstrating the relationship between variables, as they were highly significant ( p < 0.0001).
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 preference of aroma of feeding males was highly significant (G = 22.64, p < 0.0001 by males and G = 48.50, p < 0.0001 by females) by both sexes ( Figure 1 ).
The result showed that model of each class diisocyanates was highly significant, with a p -value < 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 ].
The results suggest that the change of extraction temperature had highly significant effects on the yield of polyphenols ( p < 0.0001) from the bamboo shoots of Phyllostachys pubescens under microwave irradiation.
Results ( Table 2 ) showed that the effect of subjects on aroma release was highly significant ( p < 0.0001) for all the assayed compounds ( Table 2 ), which indicated a high interindividual variability on the immediate oral release of esters.
ANOVA results ( Table 1 ) indicated that the model was highly significant ( p < 0.0001), while the lack-of-fit was not ( p = 0.5908).
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 ).
24 ppm), and was highly significant ( p < 0.0001).
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.
The model was highly significant ( p < 0.0001), while the lack-of-fit term was not significant ( p > 0.05), indicating a good fit and significant main effects.
Accordingly, the second-order polynomial equation was established as follows: Y = − 9.16012 + 0.123691 × A + 0.143075 × B + 0.162185 × C − 0.0001375 × A × B − 7.5 × 10 − 5 × A × C + 3 × 10 − 5 × B × C − 0.0014058 × A 2 − 0.0013893 × B 2 − 0.0015433 × C 2 From Table 2 , it is evident that the model’s regression is highly significant ( p < 0.0001), with a lack of fit of 0.3369, exceeding the significance threshold of 0.05.
A highly significant cytotoxic effect ( p < 0.0001) was identified in MDA-MB-231 (100 to 700 μM) and in MDA-MB-468 (100 to 400 μM).
The statistical difference between the NaCl and NaOH groups was highly significant ( p < 0.0001), confirming the non-irritating nature of NaCl.
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.
According to the results, it was observed that quadratic polynomial models were highly significant with the low p -values of <0.0001 and the high F values of 74.90 which suggested that the fitness of this model was very high.
The reduction in both the predicted downregulated and knock-out lines was highly significant ( p < 0.0001) supporting the predictions of the gene-editing effects on the hss gene in Table 1 .
In particular, factor C was extremely significant ( p < 0.0001), indicating that the amount of PLA had the main effect on the particle size.
The results indicated that the regression model was highly significant ( F = 116.64, p < 0.0001), while the lack-of-fit term was not significant ( p > 0.05) [ 34 ].