Barely Significant

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highly significantp < 0.0010.0× alphaqualifiedgold
The regression between the selection coefficients of genes (mean of 32 replicates) in CFP strain and YFP strain was highly significant ( F 1,6 = 117, p < 0.001, R 2 = 0.943, slope = 1.007), indicating different fluorescent backgrounds do not interact with this subset of genes, and all measured effects are solely due to the introduced genes.
highly significantp < 0.0010.0× alphaqualifiedgold
The BAPQ has demonstrated a high sensitivity (>70%) to detecting these phenotypes and therefore was suitable for use in this study to provide an indication of current behavioural traits associated with the autism phenotype. An independent-samples t test indicated a highly significant difference between groups on total BAPQ score as the autistic participants scored much higher than the neurotypical participants, t (26) = 4.56, p < 0.001, d = 1.79 (see Table 1 ).
highly significantP < .0010.0× alphaqualifiedgold
Blood chemistry The blood chemistry data showed a mild, but highly significant reduction in aspartate transaminase (AST) after 2 weeks of ACE consumption ( P < .001), in contrast to placebo where no changes were seen; the difference in AST levels between the two groups was significant at 2 weeks ( P < .02) ( Fig. 1A ).
marginally significantp < 0.0010.0× alphagold
5, p = 0.010)], negative perception toward DD [schizophrenia (β = 0.43, p < 0.001), ASD (β = 0.38, p < 0.001), and ADHD (β = 0.40, p < 0.001)], the perception of the child psychiatrist of parents as being in opposition to the diagnosis [(schizophrenia: β = 0.48, p < 0.001; ASD: β = 0.23, p = 0.038, marginally significant after Bonferroni correction; ADHD: β = 0.35, p < 0.001)], and the presence of siblings with one of the three diagnoses in the patient's family [(schizophrenia: β = 0.46, p < 0.001; ASD: β = 0.28, p = 0.019, marginally significant; ADHD: β = 0.28, p = 0.009)].
highly significantp < 0.0010.0× alphaqualifiedgold
MoH/AA monitoring data found a highly significant response ( p < 0.001) for water treatment by December 2014 with a 50% increase (37 to 87%) before and after training which rose to 91%, before dropping slightly to 89% by 2017 (Table 5 ).