Barely Significant

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highly significantP < 0.010.2× alphaqualifiedgold
Real-time quantitative PCR validation To confirm the microarray analysis results and identify potential related lncRNA for development of POAG, 20 lncRNAs (Table 2 ) that had highly significant P values (P < 0.01), large fold changes (> 3.0), false discovery rate (< 0.025), and stated positive correlation with POAG-relevant mRNA are chosen and listed in Table 3 .
The potential role of long noncoding RNAs in primary open-angle glaucoma.
Graefes Arch Clin Exp Ophthalmol · 2021 · PMC8589759
highly significantp < 0.010.2× alphaqualifiedgold
Peak activity for both sexes occurred around 2:00 a.m., with more than 20–30 adults congregating near cis -3-hexenyl acetate traps ( Figure 8 ), and the activity of male and female adults near the traps showed a highly significant difference compared with the control ( X 2 = 216.00 a , df = 4, p < 0.01), indicating that this VOC significantly alters the uniformity of the spatial distribution of adult moths.
highly significantP<0.010.2× alphaqualifiedgold
In nude mice 25mgkg-' 5,6-MeXAA had no statistically significant effect on tumour growth in two independent experiments (Figure 2a), however on increasing this dose to 30mgkg-' a small growth delay of 4.2 days was observed but deaths were seen. 5,6-MeXAA showed a highly significant effect against MAC15A tumours in NMRI mice, with tumour regression and a 13.3 day growth delay (P<0.01) observed at 28mg kg-' (Figure 2b).
highly significantp < 0.010.2× alphaqualifiedgold
Statistical significance was set at p < 0.05, with the following significance levels: significant ( p < 0.05, *); highly significant ( p < 0.01, **); and extremely significant ( p < 0.001, ***). 3 Results and discussion 3.1 Differences in sensory profiles between Nongxiangxing base Baijiu from the Yibin and non-Yibin production regions To examine whether Nongxiangxing base Baijiu differs at the sensory level between the Yibin and Non-Yibin regions, all 14 samples were diluted to 52% vol and profiled using Rate-All-That-Apply (RATA).