In total, 80 bacterial–metabolite pairs showed significant associations ( p < 0.05), including 31 highly significant pairs ( p < 0.01; Fig. 5 D).
Excerpts
Differences were considered statistically significant at p ≤ 0.05 and highly significant at p ≤ 0.01.
Relationship between the domains of QoLIE and SSET among WwE ( Table 2 ) The SW (r=−0.427) domain and TQoL (r=−0.485) of QoLIE had a highly significant negative correlation with SSEDT of SSE at p ≤0.01 level.
Statistical outliers were detected with the Grubb's test and highly significant outliers ( P <0.01) were removed from analyses.
Serum TMAO showed a highly significant positive correlation with colonic NLRP3, IL-18, and TNF-α ( p < 0.01) and a significant positive correlation with kidney NLRP3 and IL-1β ( p < 0.05).
The upregulation of KRT17 upregulated WNT2 and FGF2 but downregulated TGFβ1, SFRP2, and BMP2, all showing extremely significant differences ( p < 0.01) ( Figure 5 D,E).
There were highly significant differences ( p < 0.01) in the number of OTUs and the Shannon, Chao1, and the Palou evenness indices in the endophytic fungal community at different sampling timepoints for each induction treatment with no significant differences in sequence numbers.
The phase average wavelength and MoCA scores were negatively correlated in 13 brain regions (81.3% of the total, P < 0.05), and 10 of them were highly significant ( P < 0.01), indicating that the lower the cognitive score, the longer the wavelength.
The correlation analysis revealed a highly significant positive correlation between calcium concentration and the germination rate ( P < 0.01; Fig. 1 H), indicating a strong relationship.
Differences among environmental factors were highly significant ( F = 1.6, p < 0.01) (Table 4 ).
The effects of DO on plant height, stem thickness and LAI were highly significant (P < 0.01).
Statistical analysis indicated that green aroma and potato-like aroma differed significantly among the treatments at p < 0.05, while floral aroma, fruity aroma, and sweet aroma exhibited highly significant differences at p < 0.01.
The CPS showed a significant influence on the Barthel Index at discharge (Table 7 : Spearman correlation 0.302; p = 0.041), as well as a very significant influence on the PMS at 6 months and a highly significant influence on the PMS at 12 months (Table 7 : Spearman correlation at 6 months 0.477; p = 0.01; Spearman correlation at 12 months 0.67; p = < 0.001).
ANOVA showed highly significant effects ( P < 0.01) of genotypes, environments, and genotype × environment interactions on all traits ( Table 1 ) that were exhibited.
** indicated a highly significant difference ( P < 0.01), * indicated a significant difference ( P < 0.05). 3.
Highly significant differences in KS were identified in men’s singles matches in round scenario ( Figs 7a and 7b ), with similar result observed in women’s singles matches ( p < 0.01).
Regarding feces, compared with the model group, there was no significant difference in the low-dose group of DLD; the high-dose group showed a highly significant increase in fecal water content ( p < 0.01).
A Two-fold change expression cut-off for ratio experiments was applied with anti-correlation of color-swapped ratio profiles, depicting the microarray analysis as highly significant ( P value < 0.01).
The results showed that individual and combined analysis of variance (ANOVA) exhibited the presence of highly significant variability (P<0.01) among the locations, genotypes, and GEI effects for most of the traits including grain yield.
Highly significant differences (P < 0.01) were detected in WD, MOR, MOE, SSG, CP, LC, HC, CC, FL, FW, and FP.
Across all locations, the effect of the environment was highly significant ( p > 0.01) for all characteristics.
Geographically weighted regression and nultilevel analysis : The joint F-statistics and Wald statistics were highly significant (p < 0.01), indicating that the model was statistically robust.
The interaction between year and cultivar was highly significant for yield ( p < 0.01), whereas the interactions between year and bacterial application, as well as between cultivar and bacterial application, were not statistically significant.
As shown in the model, the primary terms A, B, and C reached a highly significant degree ( p < 0.01).
Among them, nanH exhibited a highly significant difference ( p < 0.01), whereas nanI and nanJ showed significant differences ( p < 0.05).