Barely Significant
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“highly significant”

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highly significantp < 0.0010.0× alphaqualifiedgold
marginally significantp = 0. 0511.0× alphagold
For both horizontal and vertical pairs, this effect was highly significant (α 1 : r 38 = 0.62, p < 0.001, BF = 1442.37; α 2 r 38 = 0.68, p < 0.001, BF = 13370; Figures 4 G and 4 H), while for diagonal pairs, it was weaker and marginally significant ( r 38 = 0.31, p = 0. 051 , BF = 1.241 , Figure 4 I).
highly significantp < 0.0010.0× alphaqualifiedgold
The data show highly significant correlations for all models (p < 0.001 in all cases; 0-1 loss function: ρ New = 0.167, ρ lin = −0.550; abs. loss function: ρ New = 0.124, ρ lin = −0.643; quadratic loss function: ρ New = 0.0976, ρ lin = −0.686) and higher correlation in the linear model for each cost function (p < 0.001 in each case, with Bonferroni corrected α crit = .017).
highly significantP ≤ 0.0010.0× alphaqualifiedgold
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 ).
highly significantp < 0.0010.0× alphaqualifiedgold
The overall relationship across voxels is highly significant (Pearson correlation, r = −0.57; p < 0.001; Fig. 4 B , C , purple) after using a permutation test with Moran spectral randomization to comprehensively account for spatial autocorrelation in the maps ( Wagner and Dray, 2015 ; Vos de Wael et al., 2020 ).
highly significantp < 0.0010.0× alphaqualifiedgold
Friedman’s ANOVA yielded highly significant differences in overall image quality (Friedman’s Q (df = 3) 104; p < 0.001), artifact severity (Friedman’s Q (df = 3) 124.6; p < 0.001), and delineation of adjacent (Friedman’s Q (df = 3) 124.1; p < 0.001) as well as distant anatomy (Friedman’s Q (df = 3) 61.2; p < 0.001).
highly significantp < 0.0010.0× alphaqualifiedgold
Results Behavioral results The pre- and post-scan silhouettes analysis The correlation between the pre- and post-scan silhouettes was highly significant (r = 0.825, p < 0.001), suggesting intra-individual consistency in the distribution of bodily sensations related to emotions, in turn revealing no perturbing effects on the scanning per se on such perceptions.
Mapping the emotional homunculus with fMRI.
iScience · 2024 · PMC11167434
highly significantp = 0.0010.0× alphaqualifiedgold
of borderline significancep = 0.0210.4× alpha
The CRP level showed a highly significant correlation with tumor stage ( p = 0.001) and an association of borderline significance with smoking ( p = 0.021), whereas no statistically significant associations were observed between CRP levels and age or sex ( Figure S1 ).
highly significantp<0.0010.0× alphaqualifiedgold
We observed both one-sided and two-sided PO to correlate with a highly significant increase of disease duration (regression coefficient 2.39 [95% CI, 1.93 to 2.83], p<0.001 and regression coefficient 4.27, [95% CI, 3.80 to 4.75], p<0.001, respectively) ( table 2B and figure 1 and online supplemental table 3B ).
highly significantp ≤ 0.0010.0× alphaqualifiedgold
Physio-Biochemical Attributes The combined ANOVA for Chl, gas exchange (net photosynthesis rate ( Pn ), transpiration rate ( E ), and stomatal conductance ( Gs )), RWC, and MSI indicated that the effects of salinity level, genotype group, and their interaction on these parameters were highly significant ( p ≤ 0.001) ( Table 2 ).
highly significantp ≤ 0.0010.0× alphaqualifiedgold
UTS negatively correlated with the age of the donors at a highly significant level ( p ≤ 0.001; r = 0.285), but was statistically insignificant with regards to sex ( p = 0.782), side ( p = 0.794), thickness ( p = 0.073), PMI ( p = 0.470) and water content ( p = 0.169).