Further, there was an increasing trend in both the proportion of women as senior authors (6% in 2018, 9% in 2019, 14% in 2020, 15% in 2021, and 18% in 2022, P < 0.0001) and percentage of total women authors (9% in 2018, 12% in 2019, 19% in 2020, 17% in 2021, and 20% in 2022, P < 0.0001) across the years ( Figure 2 ).
Excerpts
Effect of varietal difference and germination time on total tannin content Similarly, the total tannin content (TC) (mg TAE/100g DM) was found to decrease significantly with GT with a highly significant effect of variety (p < 0.0001, PES = 0.99).
Two-tailed test of independence indicated that the association between the mortality and PBO pre-exposure is highly significant (χ 2 = 84.51, df = 1, p < 0.0001).
The difference of distribution was considered highly significant ( p < 0.0001) ( Table 1 ).
According Table 2 , U-Net and DeepLabV3Plus achieved highly significant improvements ( p < 0.0001) with large effect sizes (Cohen’s d > 0.56), indicating substantial practical significance.
The main effects of VRN - D4 , VRN1 three homologs ( VRN - A1 , VRN - B1 and VRND1 ), and VRN - B3 were highly significant ( P < 0.0001) in all four populations.
However, residential area showed a highly significant difference among CNV burden groups ( P < 0.0001), with the high CNV group having a greater proportion of Ansan residents compared to the low CNV group.
In contrast to the weight of the primary tumour, the mean value of the number of lung metastases was 481±98 in wild-type scid mice and 75±37 in E- and P-selectin-deficient scid mice, with the differences between the two groups being highly significant ( P <0.0001; see Figure 2) .
For all pulmonary function test parameters [forced expiratory volume in 1 second (FEV 1 ), forced vital capacity (FVC), FEV 1 /FVC, and forced expiratory flow (FEF (25-75) )] a highly significant (p < 0.0001) reduction of the values was observed in biomass users.
The differences for each muscle were highly significant (Wilcoxon signed-rank test, p < 0.0001).
Two-way repeated measures ANOVA revealed a highly significant effect of DHβE (F 1,9 = 122.21, P <0.0001) and no significant interaction between sex and the effects of DHβE on nicotinic currents.
Both nuisance factors were highly significant (sample size: X 2 = 58.407, df = 1, p < 0.0001; mean quality of fixes: X 2 = 11.268, df = 1, p = 0.0008), indicating that these factors play an important role in determining home range size using 95% KDE and that it is justified to account for them in our models.
The other seven genes, WD repeat-containing protein 61 , Dt1 , MADS-box protein , two genes of two-component response regulator -like genes, FT2a , and PhyB , showed highly significant association with flowering time ( P < 0.0001) ( Table 3 and Supplementary Table S8 ).
By one-way ANOVA, there was a highly significant disturbance category effect ( F = 44.7, p < 0.0001) with all three categories significantly different from one another ( p < 0.0001).
The model was found to be highly significant, as evidenced by the results of an F-test, which gave an F-value of 1655.45 ( p < 0.0001).
The ANOVA results yielded a highly significant P-value of <0.0001, while the Wilcoxon signed-rank test produced a P-value of 0.002, both of which strongly support the superiority of our method over conventional approaches.
The established quadratic model was highly significant, as indicated by ANOVA ( Table 4 ) with a p-value < 0.0001 and an F-value of 52.17.
The prevalence of ocular morbidities was found to have highly significant association with the educational status of both the father ( P = 0.0001) and mother ( P = 0.001).
The results confirmed a consistent and highly significant association with trunk-FMR, for instance, exhibiting a sub-distribution hazard ratio of 1.269 (95% CI: 1.13–1.42, p < 0.0001).
Additionally, Cumulative Forest Plot showed a decreasing trend in the prevalence of Aeromonas infection in children with diarrhoea over time ( P = 0.0001).
The mOS was NR, 24 months (95% CI 16.53–31.47), and 12 months (95% CI 9.23–14.77), respectively, with highly significant differences across BLAST-mol risk categories ( P < 0.0001; Fig. 1D ).
Both differences were highly significant (p < 0.0001; p < 0.0001).
There were highly significant correlations between PCF and both PEF (Pearson r = 0.81; p < 0.0001) and FVC (Pearson r = 0.67; p < 0.0001), with the strongest correlation between PCF and PEF ( Figure 2 ).
The mesh count raw data (Figure 2 C) show that 40 nM Ov -GRN-1 increased the mesh count from the medium only control of 9.7–15.7 meshes—a highly significant ( P < 0.0001) relative increase over the blank control of 62% (Figure 3 A).
A highly significant model (p < 0.0001) suggests its reliability.