Excerpts

However, there was a clearly significant separation of VOC profiles between the IBS-D and HC groups (sensitivity 88%, specificity 92%, p < 0.001).

The linear mixed model test indicated highly significant effects ( p < 0.001) in genotype x environment interactions for all the parameters (Table 2 ).

The model performed better in first line treatment, showing highly significant association with both PFS and OS ( P < 0.001, HR = 2.82; 95% CI = 1.74–4.58 and P < 0.001, HR = 3.01; 95% CI = 1.71–5.29, respectively).

Baseline analysis showed that among categorical variables, the smoking rate was 46.667% in the POAG 1 group and 34.807% in the POAG 0 group with no significant difference (χ 2 = 1.838, P = 0.175), alcohol drinkers accounted for 6.667% in POAG 1 and 6.265% in POAG 0 with no significant difference (χ 2 = 0.008, P = 0.928), and males constituted 53.333% of POAG 1 and 44.556% of POAG 0 with no significant difference (χ 2 = 0.926, P = 0.336); however, the positivity rate of vb001_s1 was significantly lower in POAG 1 (30.000%) than in POAG 0 (84.556%) with a highly significant difference (χ 2 = 65.820, P < 0.001).

Analysis of variance revealed that temperature (A), catalyst loading (D), and the methanol-to-oil ratio (C) were highly significant ( p < 0.001), whereas reaction time (B) showed moderate significance ( p = 0.0645).

Note that this effect was highly significant ( p < 0.001) in THP-1 cells.

PDT treatment led to a highly significant size ( P < 0.001) reduction of the mucosal lesion starting from 14 days after PDT (day 28; Fig. 2a,c ) that correlated with a significant improvement of the ABSIS I score ( P < 0.05) at days 42 and 56 (Fig. 2b ).

Comparison among different severity levels of AP Table 2 shows that the levels of PCT, CRP, IL-6, NLR, and TyG index significantly increase with AP severity (MAP, MSAP, SAP), with highly significant differences observed for PCT ( P < 0.001), CRP ( P < 0.001), IL-6 ( P = 0.001), NLR ( P = 0.010), and TyG index ( P = 0.040).

The effect of time was highly significant ( F (1.77, 529.13) = 54.54, p < 0.001, η p 2 = 0.15) and is described by a significant rise in strain from pre to peak pandemic ( t (306) = 7.07, p < 0.001, d = 0.40 [0.29; 0.52]), which was followed by an even sharper decline from peak to downturn ( t (306) = − 16.23, p < 0.001, d = − 0.93 [− 1.06; − 0.79]) that resulted in values even below the pre-pandemic baseline ( t (306) = − 7.73, p < 0.001, d = − 0.44 [− 0.56; − 0.32]).

The ANOVA results for the effect of the independent parameters on the dependent parameters for the single flange rotary tiller experiment are shown in Table 3 . Effect of independent parameters on the power requirement It can be seen from the ANOVA results in Table 3 that the model for the power requirement was highly significant (P < 0.001).

Relationship between Serum ferritin and demographic, transfusion, chelation characteristics and disease complications There was highly significant positive correlation between serum ferritin and each of age (r = 0.43, p < 0.001) and liver iron content (r = 0.79, p < 0.001) and highly significant negative correlation between serum ferritin and each of age of start transfusion (r = −0.56, p < 0.001), frequency of transfusion (r = −0.58, p < 0.001), age of start chelation (r = −0.52, p < 0.001), compliance (r = −0.52, p < 0.001) and cardiac T2* (r = −0.56, p < 0.001) (Figs 1 and 2 ).

The increase in total monocytes in women with prior hypertension was highly significant compared to non-pregnant controls ( P < 0.001) and trended towards significance compared to the pregnant women without hypertension ( P = 0.053).

This index was different in a highly significant way (F (5,30) = 19.43; p < 0.001) among the experimental groups.

The confidence interval 17.50–19.70 Mb of qSNC6 on chromosome 6 contains 100 SNPs within 25 genes and two candidate genes ( Os06g30390 and Os06g30440 ) were highly significant with −log 10 ( P ) >3.

The main effect were found to be significant in all the brain areas sampled but in the prefrontal cortex, which was however close to significance (NAc: F 2,21 = 14.74, p < 0.001; Hipp: F 2,21 = 5.949, p < 0.01; MB: F 2,21 = 8.090, p < 0.01; FC: F 2,21 = 3.435, p = 0.0512).

According to Supporting Table 2, Mann-Whitney U and Chi-Square tests showed that while some ECG features (e.g., SD2, Mean_RR) lacked statistical significance ( p > 0.05), several EEG features (e.g., HiguchiFD_2, HiguchiFD_7) were highly significant (adjusted p < 0.001).

Genetic subdivision was highly significant between regions ( F CT = 0.882, P < 0.001 for mtCOI; F CT = 0.713, P < 0.001 for nrITS), indicating a high level of geographical population structure.

The linear mixed-effects model revealed that this difference was highly significant (F(1,427) = 14.62, p < 0.001, Cohen’s d = 0.32) (Fig. 5 A).

For the BDZ textures (blue symbols), we find in all cases a highly significant rank-order correlation (Spearman’s ρ) between rankings by lo-TQ and hi-TQ participants (median split, pilot: ρ = 0.907, p < 0.001, main: ρ = 0.964, p < 0.001; definitional split, pilot: ρ = 0.767, p < 0.001, main: ρ = 0.950, p < 0.001).

4A ), highlighted on the first axis (47.2% of the total inertia) of the projection, a highly significant distinction (PERMANOVA test, P = 0.001; Table 1 ) between the samples collected in June and those collected from July to September.

A similar fit performed only for the highly significant categories (red solid line in Fig. 1 ) yields a = −0.285 ± 0.072 ( p < 0.001) and b = −0.0127 ± 0.0081 ( p = 0.13).

The mean NPAR values were 1.81 (SD = 0.47, Table 1 ), 4.07 (SD = 0.96, Table 1 ), and 11.17 (SD = 6.74, Table 1 ) across the low, middle, and high tertiles, respectively, with highly significant differences between groups ( P < 0.001, Table 1 ).

Generally, we found an increasing trend concerning crude seropositivity with advancing age ( p < 0.001); however, differences were only significant when comparing the older age group 60–69 (5.2%; 95% confidence interval (CI) 4.5–5.9%) to the younger age group 20–29 (2.6%; 95%-CI 1.8–3.5%) (Table 1 ).

This difference is highly significant (p-value < 0.001) based on a permutation test in which we randomized the label of disease and aging genes.

Analysis of covariance revealed no difference in the slopes of the two regressions (P > 0.05), but a highly significant difference in their intercepts (P < 0.001).