Excerpts

The differences where highly significant in the Wilcoxon test (z = -3,79; p < 0,0001).

Meta-analyses Random-effects meta-analysis of trials of adding SGAs versus placebo to antidepressants yielded highly significant superiority of SGAs overall (OR = 1.59 [CI: 1.44–1.75]; z = 9.16, p < 0.0001; Figure 1(a) ).

Simultaneously, the results from Table 2 reveal that the individual factors A and D exert a highly significant influence on the response value ( p < 0.0001), while factors B and C exhibit a significant impact ( p < 0.05).

Unlike other developed models, the highly significant HHV model ( P < 0.0001) for the solvolysis process only contained the independent terms.

Factor analysis of 251,877 interception data points produced a Kaiser–Meyer–Olkin (KMO) value of 0.726 (>0.5) and a highly significant result in Bartlett’s sphericity test ( P <0.0001).

A highly significant correlation with r = 0.73 and coefficient at 0.82 [0.75–0.89] (p < 0.0001) was obtained.

The analysis revealed a highly significant variation (p < 0.0001) in survival probability among the ToxR allelic groups (Figure 8 A).

Among specific types of CAKUT, an increasing trend was found in renal anomalies (from 0.26 to 0.55 per 1000 live births, P < .0001).

The fitted exponential decay models were all highly significant (r 2 > 0.74, p < 0.0001; Fig. 5 ) with decay constants (r) differing significantly between single-species (chironomid only) and multispecies (two and three species) treatments.

Results Inspection of Tuta absoluta infestation At all sampling times the parameters scored showed highly significant differences between the T and S lines ( P < 0.0001, t-test, Table 1 ).

The deviations between the torsional spaces covered are highly significant for almost all maps (p-value < 0.0001), with significantly higher mean distance-to-centroid for all MD maps (see also Additional file 1 : Table S4).

Echocardiography The difference in Group I and Group II was highly significant in terms of both the baseline GLS (-13.37 ± 2.21 vs -19.11 ± 3.4; p < 0.0001) and GLS at 1-year follow-up (-11.23 ± 2.19 vs -13.47 ± 1.84; p < 0.0001).

A significant increase in IgG immune response was observed in infected mice groups; specifically, the wild-type mice exhibited highly significant serum IgG response (>1,000-fold) to P. gingivalis ( P < 0.0001) and T. forsythia ( P < 0.0001), TLR2 -/- and TLR4 -/- mice showed significant IgG response to F. nucleatum ( P < 0.0001) and P. gingivalis ( P < 0.0001) (>90-fold), and TLR4 -/- mice had a robust level of IgG response to P. gingivalis ( P < 0.01) (>700-fold) ( Fig. 1D1–3 ).

The number of SWATH windows was the most critical parameter with a highly significant (p < 0.0001) impact on the number of proteins quantified.

The results of the ANOVA test on vasculitis parameters were highly significant ( p < 0.0001, refers to Supplementary Table S1 ).

Note that MFI is displayed on a logarithmic scale, and the effect of all three anti-cytokine antibodies was highly significant (p < 0.0001) for IFN-γ.

The results from OSCE 2 were highly significant ( P < 0.0001) when comparing the two methods.

Statistical significance was defined as non-significant ( ns P -value >0.05), significant (* P -value ≤0.05), very significant (** P -value ≤0.01), highly significant (*** P -value ≤0.001), and extremely significant (**** P -value ≤0.0001).

Temperature effects on mycelial growth of different Fusarium species According to ANOVA, the average effects of different temperatures on fungal radial growth of Fusarium species were highly significant at P < 0 . 0001 .

For exposure assessment ( Figure 9 ), there was a marginally significant association between UPF intake and risk of CRC (RR = 1.27; 95%CI: 1.15–1.42, p < 0.0001) in FFQ, and the heterogeneity was more heterogeneity ( p = 0.008; I 2 = 63.3%).

Analysis of older group An ANOVA on SOA (4 levels) and load (2 levels) revealed highly significant main effects of both SOA [ F (3, 28) = 19.83, p < .0001] and load [ F (1, 30) = 22.73, p < .0001] and a significant interaction between the two [ F (3, 28) = 4.14, p < .01].

The increase remained to be highly significant after exclusion of patients with 0 MUT gene from the MUT low group ( P < .0001 for KMT2D mutations in all comparisons).

GradCAM which demonstrated that the sensitivity ( p -value < 0.0001 and p -value < 0.0001 respectively) was significantly different however specificity between HR-CAM and Zhou’s CAM did not vary ( p -value > 0.05) conversely between HR-CAM and GradCAM it was highly significant ( p -value < 0.0001).

Finally, all species showed a trend towards lower FFFs at night compared with during the day, irrespective of stimulus intensity ( p < 0.0001 for day versus night for bright stimulus and day versus night for dim stimulus for all species; electronic supplementary material, table S3) (c) .

The permutation tests indicated that this classification was highly significant ( p < 0.0001).