Similarly, the yellow pigment showed highly significant positive correlations with the orange pigment ( r = 0.96, p < 0.001), red pigment ( r = 0.99, p < 0.001), and 1-hepten-4-ol ( r = 0.74, p < 0.01), and highly significant negative correlations with ε-caprolactone ( r = −0.69, p < 0.01), 1,2-benzisothiazole ( r = −0.61, p < 0.05), and 2,2-dimethyl-3,4-pentadienal ( r = −0.63, p < 0.05).
Excerpts
The t -test with bootstrapping shows that the deviations within the Prishtina sample ( n = 300) are highly significant for the comparison statements ( M = 4.13 to 4.36; t = 19.5 to 26.1; p ≤ 0.001; Table 3 ).
The pressure and temperature had highly significant effects on dimerization ( p < 0.001) while holding time had a less significant effect ( p = 0.0506).
As can be seen from Table 4 , the model is extremely significant ( p < 0.001), the coefficient of determination R 2 of the model is 0.9973, and the lack of fit is not significant (0.7224 > 0.05).
The differences among C 3 , C 4 , and C 5 groups were not significant, but compared with other groups, the difference was extremely significant ( p < 0.001), so the preservation effect was the best when the supplemental amount was 0.3~0.5 g/kg.
The regression analysis also shows a negative and highly significant relationship between the level of knowledge about certifications and the variable “Knowledge” (coef. = −0.998; p < 0.001).
Regarding titratable acidity, black teas had markedly higher values (median = 1.40 mM/L) compared to oolong (0.56 mM/L), green (0.80 mM/L), and white (0.64 mM/L) teas, with differences highly significant across all comparisons ( p < 0.001; Figure 1 B).
RM two-way ANOVA reported agavins dose as a highly significant source of variation ( p < 0.001) for all GI symptoms evaluated.
Among those, 12 were macroscopically classified as acute, this association being highly significant ( p < 0.001).
Nutritional composition and water productivity differences ( Table 3 ) largely informed highly significant ( p < 0.001) and significant ( p < 0.05) differences in NWP Starch, Ca, Cu, K, Na, Fe, Mg, P and Zn observed in the interaction of seasons by genotypes ( Table 5 ).
The interaction between the regional location and the dietary treatment was highly significant ( p < 0.001) for a*, b*, Ch*, and H o , and significant for L* ( p < 0.05).
The dependence of the k-value by temperature was described by the Arrhenius equation; the treatment had a highly significant effect on the Ea ( p < 0.001), with the control group having a lower Ea (24 ± 2 kJ mol −1 ) than the prototype group (46 ± 1 kJ mol −1 ).
ANOVA was used to assess the model’s suitability, revealing highly significant results ( p < 0.0015).
LDL Cholesterol The treatment effect was highly significant with a p = 0.002 and the diet order by treatment was not significant ( p = 0.2).
The first canonical correlation was highly significant ( p = 0.002), showing a not very strong correlation coefficient ( r = 0.629), and represented 59.17% of the explained variability.
They revealed a highly significant relationship between the number of children fed with mycotoxin-contaminated flour and the prevalence of wasting ( p = 0.002) ( Table 5 ).
This provides strong evidence for the highly significant interaction identified in the ANOVA ( p = 0.0025; Table 4 ). 3.3.3.
However, 12 months after storage, the correlation with pH was no longer significant, and the correlation with electrical conductivity was moderately significant ( p = 0.003).
However, it can also be noted that the difference in phenotypes were highly significant ( p = 0.003 and p < 0.0001 for the WB and FE phenotypes, respectively), suggesting that the relative differences in global expression patterns could be considered representative of a larger phenotype population.
For LinkedIn, the geographical effect was highly significant (η 2 = 0.041, p = 0.003).
brevis CD2 resulted in a highly significant increase in oral nitrate reduction capacity compared to baseline ( p < 0.005) ( Figure 6 ).
Selenium contents exhibited a highly significant negative correlation with MRPs and LOPs ( p ≤ 0.005).
Similarly, Bartlett’s test of sphericity was highly significant ( p = 0.008), confirming the presence of correlations among the variables and justifying the application of the model.
The model for the viscosity index was highly significant ( p -value = 0.008934) with an R 2 value of 0.969559.
Effect of Texture Differences on Perceived Satiation By contrast, the mixed model ANOVA of the satiation data showed a highly significant main effect of the food sample (F (1,72) = 7.25, p = 0.009, η 2 = 0.092).