Barely Significant

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highly significantp < 0.00010.0× alphaqualifiedgold
Multiple regression analysis of the experimental data yielded the following second-order polynomial equation (Equation (1)), which describes the relationship between the response variable and the independent variables: (1) Oil yield (%) = 33.84 + 0.5783A + 0.8342B + 0.4008C + 0.8633D + 0.5550AB + 0.2425AC + 0.1675AD + 0.6150BC − 0.2725BD + 0.2550CD − 2.08A 2 − 1.31B 2 − 2.09C 2 − 1.32D 2 As shown in Table 3 , the regression model was highly significant ( p < 0.0001), while the lack-of-fit test was not significant ( p > 0.05), indicating that the model is statistically valid and well-fitted to the experimental data.
highly significantP < 0.00010.0× alphaqualifiedgold
For both pathogens, we found a highly significant effect of the heat treatment (F = 72.4, P < 0.0001 and F = 25.2, P < 0.0001 for P . ramorum and G . clavigera , respectively) and an interaction between treatment and time point at which the gDNA and mRNA samples were collected (F = 4.2, P < 0.001 for P . ramorum and F = 2.7, P < 0.01 for G . clavigera ).
highly significantp ≤ 0.00010.0× alphaqualifiedgold
Along with expected improvements in clinical and lung function parameters brought by Mepolizumab treatment, FEF2525-75% values showed a highly significant, gradual and persistent increase (from 32.7 ± 18.2% at baseline to 48.6 ± 18.4% after 18 months) and correlated with ACT scores at 18 months (r = 0.566; p ≤ 0.0001).