Excerpts

Firstly, the heterogeneity was moderately significant in the pooled HRs of OS (I 2 = 72.8%, P < 0.001) and mildly significant for PFS (I 2 = 72%, P = 0.185).

An exploratory principal components factor analysis for the 24 scored items in the questionnaire yielded a Kaiser–Meyer–Olkin sampling adequacy of 0.89, which is well above the recommended cutoff of 0.6, as well as a highly significant Bartlett’s Test of Sphericity ( p < 0.001).

In the 7 DAI, a highly significant abundance of GA 12 was observed in the laser-irradiated seeds than control with a fold change of 0.13 (*** p < 0.001) and found consistently higher in the irradiated seeds with a fold change of 0.10,0.13 and 0.03 respectively (* p < 0.05) (Fig. 6 c) in 14–28 DAI.

In parallel, we found a decreasing trend in DIN loads (− 0.70% annually, p < 0.001) and an increasing trend in TON loads (2.11% annually, p < 0.001) in the five studied Norwegian rivers over the past 27 years (1990–2017) (Table 1 , 2 ) (Fig. 2 c,d).

Concerning antenna position (Δθ), we found a significant general effect of the stimulus (RM-ANOVA, F 2,82 = 3.45, p < 0.05), of the concentration (F 7,287 = 2.24, p < 0.05) and a highly significant interaction between both variables (F 14, 574 = 3.25, p < 0.001).

Association between gut microbial taxa composition and intestinal FDG uptake In the analysis of gut microbial abundance of patients in each of the visually graded IU groups, the genus Enterobacter , which belongs to the family Enterobacteriaceae, showed a trend of higher relative abundance in high IU group compared with low IU group ( CE = 1.08; p < 0.001; q = 0.094; Supplement Fig.

Analysis of variance indicated highly significant differences ( P < 0.001) for all the studied traits (Supplementary Table S2 ).

All these differences were highly significant (P < 0.001).

P values were set at 0.05 ( p < 0.05) for significant differences (*), 0.01 ( p < 0.01) for highly significant differences (**), and 0.001/0.0001 ( p < 0.001/ p <0.0001) for extremely significant differences (***/****).

This difference was highly significant (Welch two sample t-test, p < 0.001 for all lines).

For instance, on average, participants switched choices 4 times in the entry game (~22%) and 2.7 times in the stag hunt (~14%) (the medians were 3 and 1 respectively), these different frequencies were highly significant (p <0.001).

Highly significant correlations were observed between VE and VCO 2 during the incremental test (r = 0.96; P < 0.001) (Fig. 3 A) and the constant load test (r = 0.86; P < 0.001) (Fig. 3 B) in the SARS-CoV-2 patients.

Other cardiovascular risk predictors directly related to CP with significant or almost significant values were age (p < 0.001), disease duration (p = 0.003), HTN (p = 0.053), presence of MetS (p = 0.066), serum levels of C3 (p = 0.016), and the Framingham risk score (p < 0.001).

For all bone parameters, the effect of strain was highly significant ( p < 0.001), indicating that the parameters differ significantly across the different strains.

4 ) Predictors of overall vaccine hesitancy The final multiple regression model predicting Overall Vaccine Hesitancy scores was highly significant, F(15, 314) = 55.62, p < 0.001, accounting for a large proportion of variance (R2 = 0.73; adjusted R2 = 0.71).

During the first two weeks, the differences in body weight and food intake were highly significant ( p ≤ 0.001), with mean body weights of 1780.57 ± 68.5 for Group I and 1628.57 ± 45.7 for Group II.

Molecular mapping of QTLs associated with seed-Fe and Zn concentrations A highly significant difference (P < 0.001) of seed-Fe (51.3 ± 5.0, 40.3–67.0 ppm with 81% H 2 ) and Zn (36.0 ± 3.8, 27.9–48.5 ppm with 83% H 2 ) concentrations in two parental accessions and 277 individuals of a RIL mapping population [ICC 4958 (Fe: 43.0 ± 2.9 and Zn: 30.2 ± 2.5 ppm) × ICC 8261 (Fe: 64.8 ± 3.3 and Zn: 42.0 ± 2.7 ppm)] across two years based on ANOVA was observed ( Table S3 , Fig. 3A,B ).

Differences are considered statistically significant at a value of p < 0.05 (denoted as *); very significant at a value of p < 0.01(denoted as # ) and extremely significant at a value of p < 0.001 (denoted as ⋆ ).

This resulted in 8 highly significant ( p < 0.001) and correlated linear regressions (see S5 ).

A highly significant increase in the levels of ROS ( p = 0.001) was also evident in the worker group compared to the control group.

CRP was superior to the other biomarkers as analysed with ROC curves with an AUC of 0.844, followed by PCT (0.825), hepcidin (0.780), and HBP (0.742), although all curves were highly significant ( p < 0.001), whereas lactate (0.588) and WBC (0.541) were not useful in predicting septic shock (Fig. 3 , Table 4 ).

However, data from movies acquired of the lymphatic contractility demonstrated highly significant correlations between the diameter measurements and the fluorescence data (n = 15 mice, p < 0.001 in each case) with a mean Pearson r correlation value of 0.902 ± 0.054.

Before the pandemic, there was a slight insignificant increasing trend in opioid poisonings that changed significantly after the pandemic (1.47 cases per month, p-value = 0.006, Table 3 ) and led to an increasing trend of 1.53 monthly cases during the pandemic (p-value < 0.001).

A chi-square test revealed a highly significant performance difference between negated and non-negated reports for BERT (χ2 ≈ 300.46, p < 0.001), suggesting that the BERT model is particularly sensitive to negation.

The goodness of fit to the model (χ 2 ) resulted highly significant in all cases ( P < 0.001; Table 1 B).