Barely Significant

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highly significantp < 0.00010.0× alphaqualifiedgold
ASA concentrations > 1000 μM (10,000 μM and 16,000 μM) impaired the mitochondrial metabolic activity, which is equivalent to aerobic cellular respiration, revealing highly significant differences in comparison to the remaining concentrations after 3 (16,000 μM: p < 0.0001–0.01) and 7 (10,000 μM and 16,000 μM: p < 0.0001) days of cell culture with a visible decrease in their respective RFUs.
marginal significancep ≤ 1.0 × 10 −40.0× alphagold
To determine statistical significance, we used a two-tier thresholding strategy: a genome-wide marginal significance threshold of p ≤ 1.0 × 10 −4 (uncorrected), and a Bonferroni-corrected significance threshold computed based on the number of SNPs analyzed within each linkage-defined region.
highly significantp < 0.00010.0× alphaqualifiedgold
The treatment with IAA caused a highly significant ( p < 0.0001) increase in pericycle periclinal proliferation in comparison with HF ( Figure 3 A), however only ectopic protoxylem was formed ( Figure 2 E) and the AR number did not increase significantly ( Figure 3 B).
highly significantp < 0.00010.0× alphaqualifiedgold
As seen in Figure 3 A,B, there was a highly significant negative correlation (r = −0.304 and r = −0.335) ( p < 0.0001) between the serum VB 12 level and the serum MMA level ( Figure 3 A) or between the serum VB 12 level and the plasma tHCY level ( Figure 3 B) in a given patient, and the serum MMA level directly (r = 0.437) and significantly ( p < 0.0001) correlated with the plasma tHCY level in a given patient ( Figure 3 C). 2.3.
highly significantp -value < 0.00010.0× alphaqualifiedgold
While the 100 nM dose had no effect on the longevity of the N2 wild-type strain, worms treated with either 1 μM or 10 μM EAPB02303 displayed a highly significant lifespan extension compared to the control and vehicle DMSO groups ( p -value < 0.0001) ( Figure 1 A, Table 1 ).
highly significantp < 0001the decimal point is missing; read as 0.0001qualifiedgold
Discriminant function analysis, analogous to multiple regression, confirmed these findings with a highly significant discriminant model (Wilks’ Lambda = 001, p < 0001), indicating a high proportion of explained variance (99%), making it the best discriminant model.