Specifically, two linear ( X 2 and X 3 ) and two quadratics ( X 2 2 and X 3 2 ) were highly significant model terms ( p < 0.01).
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Meanwhile, a non-significant value of lack of fit ( p > 0.05) and a highly significant level of the model ( p < 0.01) were obtained by statistical analyses, suggesting that the mode could be accurately predicted by the variation [ 38 ].
On the other hand, there was a highly significant reduction in tumour volume ratio after a single Au-GSH-Dox injection ( p < 0.01) ( Figure 1 and Figure 2 ).
Statistical Analysis The statistical estimation of the significance of the results obtained in the trials was performed using the ANOVA test, in which the objective was to compare the means between the control and treated groups, establishing significant probability values ( p ) < 0.05 [ 99 ] and considering the highly significant values of p < 0.01.
Table 1 and Table 2 show that both the full and reduced second-oder regression models were highly significant ( p < 0.01) and the lack-of-fits were insignificant ( p > 0.05).
rusticana root oil and the negative control was highly significant ( p < 0.01) for doses greater than 0.025 mg/cm 2 .
Moreover, a reduction in the plaque index produced was highly significant ( p < 0.01) at the end of the 21st day of clinical study.
Compared with the control group, the difference was extremely significant in the juglone treatment group ( p < 0.01).
In these mice, oxaliplatin caused a highly significant ( p < 0.01) preference towards a colder plate of the two used in the experiment involving 30–35 °C ( Figure 1 G) and 40–45 °C ( Figure 1 I).
The linear term D, the interaction terms AB showed highly significant effects ( p < 0.01).
coli K88 infection induced an apparently ( p < 0.05) down-regulated expression of Lf in some tissues (spleen, bone and muscle), but an extremely significant ( p < 0.01) up-regulation in other tissues (liver and kidney) ( Figure 3 A).
The impact of the preceding terms A and B; the interaction terms AC and BC; and the secondary terms A 2 , B 2 , and C 2 were highly significant ( p < 0.01).
Compared to negative control, all treatment groups with different concentrations of CAP or gemcitabine showed highly significant differences in the inhibition rates ( p < 0.01 or p < 0.001).
Results are expressed as the mean ± SE, and the differences were considered significant at p < 0.05 and extremely significant at p < 0.01.
The average δ 13 C of C 3 plants was −26.7‰ ( n = 434), varying from −30.7 to −22.5‰, while the average δ 13 C of C 4 plants was −11.5‰ ( n = 47), varying from −14.2 to −10.2‰ ( Figure 1 a), which is a highly significant difference ( p < 0.01).
The low p-value of the model (0.0019) revealed that the model was highly significant ( p < 0.01) and it is highly unlikely (>99% confidence) that the large F-value of the model was attributed to noise.
Specifically, the linear effect of X 1 , X 2 and X 4 illustrated highly significant ( p < 0.01) and remarkably significant ( p < 0.001) positive effects on FRAP, respectively, while their square terms (X 1 2 , X 2 2 and X 4 2 ) exhibited highly significant ( p < 0.01), significant ( p < 0.05) and remarkably significant ( p < 0.001) negative ones, respectively.
There were extremely significant differences ( p < 0.01) in the granule size distribution of the three corn flours ( Table 1 ).
All reported probability values were two-tailed and a 0.05 level of significance was considered, while marking the highly significant values (i.e., p < 0.01 and p < 0.001) as well.
The differences were considered to be statistically significant when p < 0.05 and highly significant when p < 0.01.
In samples soaked in 0.5 g/100 mL NaHCO 3 , the blanching time had a significant ( p < 0.05) effect on the relative gray levels of the bands 2, 7, and 8 bands, while the difference in the relative gray level between bands 5 and 6 bands was extremely significant ( p < 0.01).
Table 2 also reveals that the interaction of extraction time and extraction temperature was insignificant ( p > 0.05), while all other model terms were highly significant ( p < 0.01).
The linear term x 1 (initial pH) had an extremely significant effect on TA production ( p < 0.01), followed by x 3 (temperature) ( p < 0.05).
Effects of ACP-60-A, ACP-60-B and ACP-60-C on HK-2 Cell Viability As shown in Figure 11 , the survival rate of HK-2 cells in the Mod group significantly decreased compared to the Con group, indicating a highly significant difference ( p < 0.01).
Effect of Independent Variables on Enzyme Activity (EA) and Biomass (BM) The positive linear effects of X 1 (κ-carrageenan) and X 3 (yeast extract) on EA were found to be highly significant ( p < 0.01), and the effects of X 2 (NaCl) and X 4 (FOS) were significant ( p < 0.05), which agrees with the conclusion of the PB analysis.