Co-expression analysis of the genes The Spearman correlation analysis between NBN and OGG1 gene expression reveals a moderate positive correlation with a Spearman’s rho of 0.46 and a highly significant p-value < 0.001 (Fig. 5 e).
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= 0.297 and is statistically highly significant (p < 0.001).
Analysis of variance (ANOVA) showed that drought, cultivar, and their interaction had highly significant effects on all measured traits ( p < 0.001; Supplementary File 1: Table S3 ).
At 12 h and 15 h, the difference in the number of M5 cells between the wild-type and Δ hylB groups reached a highly significant difference ( P < 0.001).
However, analysis of elevational trends by years revealed two significant opposing linear trends for total, mycorrhizal and saprotrophic biomass; a decreasing trend in 2012 (slope total = −2.19 ± 0.95, P = 0.023; slope sapro = −0.89 ± 0.35, P = 0.013) and an increasing trend in 2013 (slope total = 3.48 ± 0.95, P < 0.001; slope sapro = 0.90 ± 0.35, P = 0.011).
8 ) resulted in a highly significant regression coefficient for the high-concentrate diet ( P < 0.001), but no significant correlation for the medium-concentrate diet ( P > 0.05).
In addition, Bartlett’s Test of Sphericity yielded a highly significant result (χ2 = 7238.63, df = 3321, p < 0.001), confirming that the observed correlation matrix was not an identity matrix and thus appropriate for structure detection via EFA (Table 2 ).
Moreover, monocyte and red blood cell counts showed highly significant differences between the factories both before and after the employment period ( p < 0.001).
The one-way analysis of variance revealed highly significant seasonal differences for all variables measured in both basins ( p < 0.001).
Of note, the single LGE in both female and male mice produced a highly significant reduction in tear measurements when compared to sham surgery (Fig. 6 D, p < 0.001, 2-way ANOVA, Table 1 ).
We found that the linear correlation in the window centered at 400 ms after the report of the onset of the dominant percept was already highly significant ( z -value = 3.286, p -value < 0.001, Fig. 4b ).
There was a significant trend of increased fibrotic improvement rate in patients from F01 to F4 (P < 0.001).
The ANOVA results for the effect of the independent parameters on the dependent parameters for the single flange rotary tiller experiment are shown in Table 3 . Effect of independent parameters on the power requirement It can be seen from the ANOVA results in Table 3 that the model for the power requirement was highly significant (P < 0.001).
Paired t -tests indicated that, on average, a highly significant decrease could be observed, both for the first warning (mean round 5 = 6.31, SE = 0.37, mean round 6 = 4.78, SE = 0.39, paired t -test: t = 3.66, p < 0.001) and the second warning (mean round 16 = 6.96, SE = 0.34, mean round 17 = 5.14, SE = 0.42, paired t -test: t = 4.83, p < 0.001, see Fig. 1 a).
Highly significant ɸ st values ( ɸ st = 0.35, P < 0.001) indicated a clear phylogeographic structure between royal penguins against all populations of macaroni penguins.
A Jonckheere–Terpstra test for ordered alternatives confirmed a highly significant monotonic increase across the four pre-specified ordered groups (standardized J–T statistic z = 7.896, p < 0.001).
The pattern of isolation by distance (IBD) became highly significant after the heatwave (Mantel tests Z = 691.70, r = 0.92, P < 0.001) but was not significant before (Mantel tests Z = 500.99, r = 0.40, P = 0.17).
The attitude most strongly associated with adherence was the desire to avoid health complications from gluten consumption, which showed the largest mean difference between adherence groups and a highly significant association ( P < 0.001).
The number of inpatients, monthly ED shifts, and daily self-study time decreased annually, and each item showed a negative trend ( p < 0.001).
Similarly, targeted NPs treated group also showed extremely significant (p < 0.001) lower number of errors as compared to other groups and was almost similar to control group (Fig. 4A ).
Vegetative—leaf parameters Highly significant differences existed ( P < 0.001) using the selected distances (0.55–0.85) to image the leaves of the pepper genotypes (Supplementary Table S1 ).
Regarding the low-temperature cracking resistance, the ANOVA results for the m-value (stress relaxation rate) revealed that both filler type and dosage have a highly significant impact ( P < 0.001).
Unsurprisingly, the pre-PEG B12 value remained the single most dominant predictor, with its effect being highly significant ( P <0.001).
Effect of marker segregation distortion on map construction Single locus analysis detected 5.9% of markers with highly significant (P ≤ 0.001) distortion, and 7.3% with significant (0.001 < P < 0.05) segregation distortion, giving a total of 98 markers with distortion from the expected Mendelian segregation (Table 1 ).
Although the classical models like SVM, Naive bayes, random forest, and XGBoost have a non-significantly improved p -value = 0.1 and even more complex models like GRU, Bi-GRU, and BERT have only marginal statistical relevance ( p = 0.08–0.15), the model has highly significant p -value = 4.87 and p = 0.001, which is supported by a Wilcoxon = 3.92 and p = 0.019.