“extremely significant”

Among them, the correlation with Adlercreutzia was extremely significant ( P <0.001 ).

The regression analysis of δ 15 N values of C3 and C4 herbs and MAT led to a correlation that was extremely significant ( p < 0.001), but the temperature only explained 30.12% (C3 herbs) and 32.48% (C4 herbs) of the observed variation ( Figure 5 c,d), demonstrating that there was no significant difference in the responses of δ 15 N value of C3 and C4 herbs to temperature.

Differences were considered as statistically significant with p ≤ 0.05 (*), very significant with p ≤ 0.01 (**), and extremely significant with p ≤ 0.001 (***) or marked as non-significant (ns).

In all cases, differences between treatment groups were considered if p < 0.05 marked “ * ”, significant if p < 0.01 marked “ ** ” and extremely significant if p < 0.001 marked “ *** ”.

The levels of serum CRP, IL-6, TNF-α, MMP-3, and MDA in patients with CSVD with cognitive frailty were significantly higher than those of the Control group, while the level of SOD was significantly lower than those of the Control group, and the differences were extremely significant ( p < 0.001).

The main part of this analysis is testing to see if we can consider the mother’s deficiency in vitamin D as a risk factor for the newborn, so for that we split the data into a contingency table ( Table 8 ), obtaining an extremely significant risk factor ( p < 0.001, RR > 1, OR > 1), so we can conclude that if the mother has a vitamin D deficiency, it increases the chance that the newborn will have a vitamin D deficiency more than eight times.

The p-value obtained in the evaluated data was extremely significant (p<0.001) in all objective questions, validating the data used in this research ( Table 2 ; Figure 1 ).

Cytokine production by autologous T cells in coculture with DCs Coculture of autologous T cells with Der p 1-pulsed DCs induced significantly higher production of IL-4 (P<0.05) and extremely significant lower synthesis of IFN-γ (P<0.001) in the AP group compared with the HDs.

The quadratic terms (A 2 , B 2 , and C 2 ) had an extremely significant effect on physcion yield ( P < 0.001).

The results of ANOVA partially support the hypothesis that both BMI groups and mobile phone involvement showed extremely significant effect ( p < 0.001) on sleep quality.

It was found that the intergroup variations of PM samples at different depths were extremely significant ( p = 0.001) in PCoA based on weighted UniFrac distance ( Figure 5A ), while not significant ( p > 0.05) in PCoA based on unweighted UniFrac distance ( Figure 5B ).

As shown in Table 4 , the p -value of this experimental model is much less than 0.0001, indicating that this model has a high degree of significance (significant at p < 0.05, extremely significant at p < 0.001), and the lack of fit p = 0.1225 > 0.05 indicates that the experimental processes are nearly not affected by other unknown factors.

The correlation analysis demonstrated that Proteobacteria , the first dominant phylum, was positively correlated with almost all the environmental factors, among which SBR and GLU had the highest correlation, all of which reached an extremely significant level ( p < 0.001); POXC and AK ( p < 0.01); and TOC, UA, and CA ( p < 0.05).

On comparing the damage to ciliary activity caused by rIBVs, the rYN-1a-aYN challenged group showed lower damage with a highly significant difference at 3 and 10 dpi (p < 0.01) and an extremely significant difference at 5 and 7 days post-challenge (p < 0.001) compared with the rYN group.

We observed that high concentrations of α -KG could reduce the PBE rate, while 100 μ M α -KG could significantly decrease the PBE rate of oocytes (S-table 1 ), and 10 and 20 μ M α -KG could significantly increase the PBE rate of oocytes (S-table 1 ), and the difference in the 20 μ M group was extremely significant (Con vs. 20 μ M: 64.7% ± 1.20% vs. 76.83% ± 1.05%, P < 0.001) ( Figure 1(b) ). 3.2.

Specifically, there are extremely significant statistical differences between widowed and non-widowed elders in children’s economic support ( p < 0.001), children’s sick care ( p < 0.001), and children’s emotional support ( p < 0.001), respectively.

The results suggested that ( Table 2 ) water-salinity gradients had extremely significant effects on all the above- and below-ground traits ( P < 0.001); the effects of the species on above-ground traits and below-ground biomass were very significant ( P < 0.001), and on N, the P concentration of the below-ground tissues was also significant ( P < 0.05); the functional groups had no significant influence on all traits.

*, P < 0.05 (considered significant compared with control group); **, P < 0.01 (considered highly significant); ***, P < 0.001 (considered extremely significant). 3 Results 3.1 Identification of inhibitors that target PRRSV nsp4 (3CLSP) A library of 1000 lead compounds was screened against PRRSV 3CLSP using FRET assays.

Force data at increasing cell-cell contact times for both MB231 and MB435 cells were extremely significant (p< 0.001) by single factor ANOVA.

Differences between values were considered statistically significant at p ≤ 0.05 (*), very significant at p<0.01 (**) and extremely significant at p<0.001 (***).

The difference is denoted in four levels, significant *p< 0.05, highly significant **p< 0.01, extremely significant ***p< 0.001, and highly extremely significant ****p< 0.0001.TBtools ( Chen et al., 2020 ), SPSS22.0, and GraphPad Prism (GraphPad Prism 8; GraphPad) were used to analyze and plot the data.

p < 0.05 was considered as statistically significant (*), p < 0.01 was considered highly significant (**), and p < 0.001 was considered extremely significant (***).

Among the 13 distinct features selected, four features (LM-W LHL -G-MaxProb-T2, TM-W LHL -G-MaxProb-T2, LM-W HLL - G-MaxProb-T2, E-W HLH -H-Max-T2) were statistically extremely significant (p-value < 0.001), seven features (E-W HHL -H-Max_T2, T-H-Min-T2, TM-W HLH -H-Min-T1, E-MedianLBP-T1, T-MedianLBP-T1, E-W HLH -H-MeanAbsDev-T2, TM-GE-Convexity-T1) were statistically highly significant (p-value < 0.01), and two features (TM-W HLH -H-Min-T2, LM-W HLL -H-Range-T2) were statistically significant (p-value < 0.05), between the LC versus LF outcomes.

The results showed an extremely significant positive correlation between SAR and AbunR (Fig. 3a ; R 2 = 0.833, P < 0.001), suggesting that the population with higher ‘Space Accessibility’ would occupy more space at t 2 .

In both Table 5 and Table 6 , the proposed CDOM full-model (integrating channel attention and multi-scale feature fusion) exhibits extremely significant performance gains compared with the other three models (all p < 0.001), which fully verifies the synergistic effect of the two components.