Adding the ‘number of flowering species’ to the model showed a highly significant difference on both, number of butterfly species and individuals (mod4s, mod4i, p < 0.0001).
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The three factors had a highly significant (p < 0.0001) effect on runoff and sediment loss.
Regarding immunological response, the Spearman correlation coefficient suggests a highly significant direct link between IL-2, TNF-α, and INF-γ and radiation doses (P < 0.0001).
Furthermore, the variance analysis (ANOVA) presented in Table 4 disclosed that the quadratic model was exceedingly significant at P < 0.0001 for the estimation of phenolics from JATE.
This represents a highly significant difference in cell cycle progression ( P < .0001 by χ 2 analysis).
There were highly significant differences (P < 0001) between the analysed mean Hg, As and turbidity levels and the permissible levels in surface water with the potential of affecting ecosystem services including water for drinking, water for recreational, water for irrigational, and water for aqua culture purposes.
The model difference was highly significant ( p < 0.0001), the misfit term was not significant ( p > 0.05), and the fit R 2 was close to 1, which proved that the model was well fitted and the regression equation could be used to analyze the effect of the factors on the peroxide value.
PFT was the primary source for systematic variation in CR and the difference between PFTs was highly significant (p < 0.0001) for all elements except for Cs (p = 0.14).
The observed mean body weight ranged from 1.19 to 1.43 kg with highly significant (p < 0.0001) differences between districts and sex effects for all other morphometric traits.
The pairs of the two variables, showing a very highly significant positive correlation ( P ≤ 0.0001) in all animals, indicate that the data profiles conjointly increase and decrease.
Moreover, the male group showed highly significant variation of Δ-MET as compared to females (∗∗∗∗p < 0.0001) ( Figure 2 B).
The developed models were highly significant at probability level of P = 0.0001 and multiple correlation co-efficient (R 2 ) was 0.9563 for cellulase, 0.9532 for xylanase and 0.9780 for ligninase.
3 A shows that the IpGTT produced a highly significant time-dependent increase in blood glucose concentrations in both WT (F = 23.85, p < 0.0001) and Tau-VLW (F = 14.16, p < 0.0001) mice.
Scutum and sensilla size variation There was no significant difference in the (seven-landmark) CS of S1 (0.059 mm) and S2 (0.060 mm) (P = 0.2058), and also no significant difference in the scutum perimeter of S1 (0.182 mm) and S2 (0.184 mm) (P = 0.2058), but there was a highly significant difference in size (P < 0.0001) between the perimeters of sensilla S1 (0.047 mm) and S2 (0.050 mm) ( Fig. 3 ; Table 3 ). 3.1.2.
The differences between species richness in NW and RB were highly significant ( P < 0.0001).
There is highly significant difference among treatments on plant height in 2020 and 2021 at p = 0.01% level of significance) accounts (98.7 cm) Sudan grass is first and followed by elephant and panicum grass 85.4 and 81 cm respectively in 2021.
The result from the present study revealed that TDML showed an increasing trend (P < 0.0001) with an increase in both BSY inclusion level and ED. 3.5 Chemical composition and in-vitro organic matter digestibility of BSY-based silage The interaction effect of BSY inclusion level and ED for some chemical composition parameters are indicated in Table 7 while those parameters influenced by main factor effects are indicated in Table 8 .
Analysis of the expression of EBV-miR-BART22 by MiRNA qRT-PCR revealed highly significant differences between the EBV carrier group and EBV-HLH and CAEBV groups (P < 0.0001; P < 0.001), and significant differences between the IM and EBV-HLH groups (P < 0.001).
This was also highly significant at p < 0.0001.
Based on the matched pairs analysis ( Table 3 ), the overall mean difference of −6.4 showed that the facility mean was less than the OTSC mean, and this difference was highly significant (p-value <0.0001).
We performed a sensitivity analysis to test the reliability of the meta-analysis, which showed that removing any one study would not lead to a marginally significant difference between the two groups ( P < 0.0001; Supplementary Figs. 35–36 ).
According to the results obtained, the correlations were highly significant (p < 0.0001).
In our study, we employed a multivariate binary logistic regression model to investigate factors influencing the presence of PCC and their relationship with variations in PCC occurrence, yielding a highly significant model (p < 0.0001).
According to the model fit statistics, the quadratic model is suggested to be highly significant among linear, 2-factor interactions (2FI), and quadratic models for turbidity ( p = 0.0001), COD ( p = 0.0004) removal, and residual Al ( p = 0.0274) implying high correlation coefficient (R 2 ) values, 0.9831, 0.9838, and 0.9775, respectively.
Remarkably, the rate of apoptosis induced by the NISM@BSA-DEC-Zn nanocarriers revealed a highly significant difference ( p < 0.0001) compared to the Ctrl group ( Fig. 10 A–C).