Excerpts

Kaplan-Meier survival analysis demonstrated a highly significant difference in survival rates between the two groups ( p < 0.001, Fig. 4 C).

The effect of group was markedly significant ( p < .001, η 2 = .087), but not the influence of CSF Abeta abnormality.

The HR of the lansoprazole group relative to the gefarnate group was estimated as 0.099 (95% CI 0.042–0.230)—a 90.1% risk reduction, and the difference was highly significant (log-rank test, P < 0.001) (Table 2 ; Fig. 2 ).

For each sentence form, the effect of consistency was highly significant, F (1, 96) = 1,818.62, p < .001, partial η 2 = .949 (for object-relatives), and F (1, 96) = 7,568.69, p < .001, partial η 2 = .987 (for subject-relatives).

Leica QWin interactive cell quantitation data of GFAP+ astrocytes also revealed that maternal PMN leads to a highly significant decrease in astrocyte density at P30 in dentate gyrus (DG) (LP, 915.25±74.24; HP, 2475±136.50; n =12, P <0.001, Fig. 5 A) and at P21 and P30 in CA3 (P21; LP, 1537.50±135.21; HP, 2100.50±200.12; n =12, P <0.001, P30; LP, 735.02±104.46; HP, 2017.50±172.50; n =12, P <0.001, Fig. 5 C) subfields.

This is statistically highly significant as p < 0.001.

There was a highly significant (p<0.001) improvement in accuracy over time during the 3 phases for the whole group.

Analysis of variance indicated that the effects of environment (E), genotype (G), and GEI were all highly significant ( p < 0.001) in influencing yield per hectare, with the environment contributing 47.5% of the total variation, underscoring the impact of local conditions on performance.

The Bartlett's Test of Sphericity yielded a highly significant result (χ 2 = 298.752, df = 55, p < 0.001), confirming the factorability of the correlation matrix.

The robustness of these non-linear relationships was confirmed by likelihood ratio tests comparing two-piecewise versus standard linear models, which were highly significant across all populations (Model I: P < 0.001; Model II: P < 0.001; Model III: P = 0.002; Model IV: P = 0.043).

In addition, nonparametric Kruskal–Wallis tests were performed across multiple feature representations, including raw conductance, temperature, proportional adjustment, and adaptive scaling, consistently yielding highly significant differences ( p < 0.001 ).

An ANOVA with socio-economic level and sex as independent variables and intrasexual competitiveness as the dependent variable showed a highly significant main effect of socio-economic status, F (2,1629) = 17.96, p < .001, partial η 2 = .022, no effect of sex, F (1,1629) = .21, p = .64, partial η 2 = .0001, and a significant interaction between sex and socio-economic status, F (2,1629) = 3.92, p = .02, partial η 2 = .005.

PERMANOVA confirmed highly significant differences in taxonomic composition between the Henan and Hebei provinces ( p < 0.001, Figure 3a , Table S3 ).

Both LREEs/HREEs and Eu/Eu* displayed extremely significant and positive correlations with La N /Yb N , La N /Sm N , and Gd N /Yb N ( p < 0.001), respectively.

Heart Rate Linear mixed model analysis demonstrated a highly significant main effect of Timepoint on heart rate (F(3, 84) = 4973.270, p < 0.001, η 2 = 0.994), indicating a substantial increase in HR during the TRAINING phase, followed by a return toward baseline values at POST 24 h ( Figure 6 ).

oxycephalus was highly geographically structured: 96.75% of the genetic variation was attributed to differentiation among populations and this was highly significant ( P <0.001).

Our results showed a highly significant (p < 0.001) association and a positive genetic correlation between resilience traits derived from body weight deviations (lnvar weight , lnvar standardized and lnMSE weight ) and tail biting wounds, lameness and mortality, although standard errors of genetic correlations were high.

Assessment of model fit The results of the Omnibus Tests of Model Coefficients were highly significant (all respondents’ model: χ2 (34) = 988.1; p < .001; physical wellness’ model: χ2 (36) = 255.1; p < .001; psychological and emotional wellness’ model: χ2 (37) = 233.7; p < .001; social wellness’ model: χ2 (36) = 551.8; p < .001; and self-rated wellness’ model: χ2 (36) = 305.2; p < .001), indicating that the final model in each analysis is significantly better than the unadjusted baseline model.

In contrast, the experimental group demonstrated a highly significant improvement in sputum viscosity after the intervention ( p < 0.001), with a marked increase in the number of patients reporting no sputum or grade I sputum, and a complete absence of grade III sputum.

Effects of different IRE electric field parameters on the viability, apoptosis and necrosis of vascular endothelial cells At fixed 100 μs pulse width, 40 pulses, and electric field strengths of 200–800 V/cm, HUVEC cell viability showed a highly significant dose-dependent decrease (P < 0.001) ( Figure 1A ), with viability of 64.5% ± 3.2% in the 200 V/cm group, 21.8% ± 2.1% in the 400 V/cm group, 13.6% ± 1.5% in the 600 V/cm group, and 1.8% ± 0.7% in the 800 V/cm group 1.8% ± 0.7%, and the difference between 200 V/cm and the remaining groups was highly significant (P < 0.001).

For all three responses, the rod-length configuration is the dominant and highly significant factor, explaining 41.6% of the variance for SEA (F = 109.6, p < 0.001), 83.2% for CFE IPCF (F = 1496.6, p < 0.001), and 59.2% for CFE PCF (F = 110.7, p < 0.001).

This effect of land use on earthworm abundance was highly significant (GLM F = 12.99, p < 0.001), with population abundance significantly higher in grassland and both woodland types than arable land (Figure 3 ).

The KMO value of 0.853 indicated strong sampling adequacy, and the highly significant result from Bartlett’s Test ( P < .001) confirmed that the correlations among variables were sufficient to proceed with factor analysis.

Age had a highly significant influence ( P < 0.001) on the mRNA levels of the luteinizing hormone receptor ( LHR ) and insulin-like growth factor 1 receptor ( IGF-1R ), which increased with age until wk 21, decreased at wk 40, and increased by wk 70 ( Figure 1 F, G).

However, the mean age at menarche shows an increasing trend from the poorest to richest wealth quintile and the difference between the women of the poorest wealth quintile with other categories was significant (p<0.001) ( Figure 3 ).