The Wilks’ lambda value (0.116) indicated that the two discriminant functions were highly significant ( p < 0.0000), meaning that 11.6% remained unexplained (see Supplementary SDA Tables ).
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The lowest C22 value was found in the fifth sampling of Itrana (0.14 mg/kg), whereas the very highly significant highest value ( p = 0.000) was in the fourth sampling of Sinopolese (16.93 mg/kg) which showed a different alkane profile with respect to the other studied cultivars ( Table S2 ).
The results show a highly significant effect of the storage time on weight loss (ANOVA, F 6, 209 = 57.64, p = 0.000), moisture content of fruits (ANOVA, F 6, 209 = 36.96, p = 0.000), mass of fruits (ANOVA, F 6, 209 = 2.33, p = 0.034), firmness of fruits (ANOVA, F 6, 209 = 7.41, p = 0.000), sphericity of fruits (ANOVA, F 6, 209 = 11.93,
The Wilks’ lambda value (0.0000) indicates that the three discriminant functions were highly significant ( p = 0.0000), meaning there was 0% unexplained (see Supplementary SDA Tables ).
After applying the first difference, all variables display strong evidence of stationarity, with all four test statistics highly significant ( p -values = 0.00). 4.2.
As expected, the culinary oil x time-point first-order interaction effect was also extremely significant for all oils tested ( p < 10 −50 to <10 −18 ), and this ratifies the contrasting responses of each oil type to increasing LSSFE lengths; for example, differential rates and extents PUFA losses from soybean/corn oils and extra-virgin olive/avocado oils ( Figure S1b ), and likewise the contrasting elevations and reductions in oil MUFA contents for these two groups respectively ( Figure S1a ).
The statistical analysis showed a highly significant evolution of the sugar ( p < 2 × 10 −16 ) and starch ( p < 1.339 × 10 −5 ) curves in function of the reaction time.
Conversely, the variety has a very highly significant effect ( p = 9 × 10 −13 ) on the intercepts of these relationships.
The Rao & Scott-adjusted Pearson chi-square test indicated a highly significant effect of age on food purchases driven by security needs (food stocks), F [6.67; 7068.99] = 6.28, p = 4.04 × 10 −7 .
Specifically, its intercept was highly significant ( p = 9.32 × 10 −7 ).
Variance analysis of the response surface revealed that the significance of the TFC was influenced by the percentage of ethanol, which was extremely significant ( p < 0.0000014).
A highly significant sessional variation ( p < 0.00001) was pointed out.
The results presented in Table 3 showed a highly significant ( p value = 0.00005, detection limit of the method being approximately 1 log CFU, CI-95%, 1.85, 2.77) log reduction (2.31) in microbial load after wiping the meat surface with the developed DW (count before treatment—5.48 log CFU/cm 2 ; after treatment—3.17 CFU/cm 2 ).
As presented in Table 4 , the model was highly significant ( p < 0.0001) with a non-significant lack of fit ( p = 0.0913).
The results indicate that the overall model is highly significant ( p < 0.0001), demonstrating that the constructed model possesses high statistical significance.
A statistically highly significant difference was determined between the antimicrobial activity levels of the postbiotics produced by lactic acid bacteria (X 2 (2) = 178.472, p < 0.0001; Cramer’s V = 0.166).
The model showed that X 2 , X 3 , X 1 2 and X 2 2 had a significant effect on the tyrosinase-inhibiting activity ( p < 0.05) and that X 3 2 had an extremely significant effect on the same ( p < 0.0001).
Pearson’s correlation analysis ( n = 45) showed a powerful and highly significant positive correlation between daily As intake and the hazard index (r = 0.97, p < 0.0001), indicating that arsenic is the primary contributor to HI from the consumption of these dietary supplements.
First, the sucrose concentration decreases in a very highly significant way ( p < 0.0001) over time (from 57.4 g/L ± 0.09 at D0 to 25.2 ± 2.85 g/L at D14), with a highly significant decrease ( p < 0.01) in sucrose content between D7 (44.2 ± 3.92 g/L) and D11 (24.9 ± 2.22 g/L).
This response is well described by a quadratic model (Equation (6)), which was highly significant according to ANOVA ( p < 0.0001, Table S1 ).
Subjects who received GR showed a highly significant increase in SFN in both zones ( p < 0.0001), similar to levels previously observed in breast tissue after similar supplementation.
The ANOVA results for protein content in this group showed a highly significant F-value of 284.19 ( p < 0.0001), demonstrating that there are statistically significant differences among the samples in this group.
The data indicate that the regression model is highly significant ( p < 0.0001), while the error term is not significant ( p > 0.05).
This approach allowed for the identification of the individual and interactive influence of each variable on the response, providing a predictive model to optimize the formulation, as shown: ST red = 31.291 + 0.134A − 0.519B + 0.154C + 3.409D − 1.149AB + 0.595AC + 1.810AD − 1.433BC − 1.981BD + 0.766CD − 0.316A 2 + 0.065B 2 + 0.102C 2 − 0.597D 2 , (7) The analysis of variance (ANOVA) for the quadratic model of surface tension reduction (ST red ) is presented in Table 3 and revealed that the model was highly significant, with an F-value of 14.78 and p < 0.0001, indicating a strong fit to the experimental data.
kudriavzevii ITMLB97, the best correlation models were those produced from inulin ( Q 2 = 0.93) and BS-juice ( Q 2 = 0.93), which had a highly significant effect ( p < 0.0001) on the MIR profiles.