Both PAL and C4H demonstrate strong, highly significant correlations with flavonoids and phenolic acids (p<0.01, r>0.4), while 4CL shows weak or non-significant correlations with these metabolites (p>0.05, r<0.2).
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Statistical Analysis The significance of differences was analyzed using the one-way ANOVA method ( P < 0.05, *, considered significant, P < 0.01, **, highly significant).
Mineral N had a highly significant ( p < 0.01) effect on spike length, number of kernels per spike, and thousand-kernel weight, while VC had a significant ( p < 0.05) effect on those parameters, but their interaction did not.
4 A), showing a significant change in both the 3 days and the 7 days groups ( p < 0.05), and an extremely significant change in the 14 days group ( p < 0.01).
Compared with those of the M group, the TNF-α and IL-6 levels showed an extremely significant decrease in both the CYP-treated group and the SCYP-treated group ( p < 0.01).
However, the observed difference did not reach statistical significance ( p < 0.01).
The error correction term (ECTt−1) is negative and highly significant (−0.563, p < 0.01), confirming a stable adjustment toward long-run equilibrium.
The results ( Table 2 ) showed that both maize variety and drought stress treatment had highly significant effects (p < 0.01) on all germination- and seedling-stage traits.
showed a trendp = 0.01
Consumption of sweet desserts also showed a trend with RRs of 1.0, 1.3, and 1.5 (test for trend, p = 0.01), suggesting increased risk associated with higher intake levels.
showed a trendP =0.01
However, at subsequent time points, the MBF showed a trend to reduce significantly, where the flows were 0.89±0.14, 0.73±0.13, and 0.59±0.13 at the 165‐, 195‐, and 225‐minute time points, respectively ( P =0.01; Figure 2 ).
In addition, as fluctuation in the temperature of the storage environment increased, the correlation between some indicators was enhanced, for example, the correlation between ADP and some indicators (such as EL, MDA, O 2 · − , H 2 O 2 , etc.) changed from significant ( p < 0.05) to extremely significant ( p < 0.01) ( Figure 8 A–C).
In the KCCQ histogram (right), Group 1 generally has higher quality of life scores, with many patients scoring 65-80, whereas Group 2’s scores are shifted toward lower ranges (50-65); this difference is highly significant (p < 0.01), highlighting poorer perceived health status in Group 2.
The results showed extremely significant differences in the liver weight ( P < 0.01) and liver lipid accumulation of FRS and CRS groups.
The differences in inflation forecast accuracy between NoComm and ADProj are highly significant for both inexperienced and experienced participants ( p < 0.01 ).
Differences were considered statistically significant at P < 0.05 and highly significant at P < 0.01.
In addition, most of the distinguishing items were highly significant p < 0.01, indicating strong discrepancies between the factors on a number of specific items.
Similarly, TBARS showed a highly significant positive correlation with shear force ( p < 0.01).
3.1 Principal Component Analysis with Varimax Rotation: Factor extraction and indicator structuring The principal component analysis (PCA) results confirmed the dataset’s suitability for dimensionality reduction and latent structure identification (see Supplementary File: Principal Component Extraction). 39 Bartlett’s test of sphericity was highly significant (χ 2 = 1614.8, df = 36, p < 0.01), indicating sufficient intercorrelations among the indicators to justify factor analysis.
The correlation was considered significant at P < 0.05 and highly significant at P < 0.01.
p -Values were considered significant at * p < 0.05 and highly significant at ** p < 0.01 or *** p < 0.001. 5.
The COD Mn , COD, Chl a, TP, TN, and NO 3 -N levels at Taizishan were higher than those at other monitoring sites, and the differences in COD Mn , TN, NO 3 -N and Chl a were significant ( P < 0.05) or extremely significant ( P < 0.01) (Table 1 ).
In all experiments, the difference among the groups is reported as statistically significant (* p < 0.05) or extremely significant ( ** p < 0.01). 3.
Two-way ANOVA ( Table 3 ) also confirmed a highly significant interaction ( p < 0.01) between harvest period and variety on the thousand-grain weight.
The ANOVA results revealed that the model was highly significant ( p < 0.01), with a non-significant lack of fit ( p = 0.1706, Table 4 ), confirming the adequacy of the regression model.
The content in MFCG was more than two times greater, with highly significant differences observed ( p < 0.01).