“highly significant”

Additionally, pneumonia was identified as a critical mediator in this association, showing a highly significant contribution to the indirect effect (p < 0.001) and holding substantial importance in the total effect (p = 0.020).

Model 1 indicated a significant positive coefficient of the network signal (coefficient = 0.3122, p < 0.001), with a highly significant F-test value ( F -test = 988.69, p < 0.001), suggesting a correlation between the network signal and Internet use.

In terms of sequence identity, all three clades show highly significant genetic divergence from each other (all P < 0.001), indicating they have evolved into three distinct genetic lineages.

In the whole sample, the KMO index of sampling adequacy was 0.92 and the Bartlett's test of sphericity was highly significant (p<0.001) showing the appropriateness of the data for factor analysis.

There was a highly significant correlation between BMI and fat mass, measured by DEXA (r = 0.85; p<0.001).

Furthermore, the individual slopes relating autoMAPSE to MAP were highly significant ( P < 0.001) and markedly heterogeneous (both positive and negative), suggesting that ventriculoarterial coupling differs substantially in different individual patients.

The statistical model was highly significant (F = 25.143, p < 0.001), suggesting that at least one predictor has a significant impact on mental health.

We verified this by testing the overlap between the TF motif-gene cis -regulations inferred by MLC as applied to the LiCAT-seq human embryonic development dataset, 38 and the cis -regulations inferred by MethCorTarget applied to the DNAme human embryonic development dataset 39 : we found a highly significant overlap, odds ratio OR = 13.3 ( 12.9 − 13.8 ) ( p < 0.001 , Fisher’s exact test).

Studies comparing the highest versus lowest quartiles of UPFs intake ( n = 3) ( 16 , 17 , 23 ) yielded a highly significant and consistent result (ES = 1.23, 95% CI: 1.14–1.32, p < 0.001).

These results indicate a consistent and significant decrease in biofilm density across all tested MOIs compared to the control, with each group showing highly significant reductions ( p < 0.001), as illustrated in Figure 4 .

However, PCT levels demonstrated a highly significant decrease over time ( p < 0.001).

Management method significantly affected BD and SP ( p < 0.05) but not MC, while management duration exerted highly significant effects on all three parameters ( p < 0.001) ( Figure S1 and Table S1 ).

The difference among the age-specific DWs was found to be highly significant (ANOVA F = 17.77, P <0.001).

The Chi-squared statistic for Friedman’s test of the ‘overall change over time’ in our parameters of interest, VAS, NPS, SNOT-22 and IgE, and whatever group analysed, is highly significant ( p < 0.001 in most cases).

Combined analysis of variance under artificial Striga infestation revealed highly significant ( P < 0.001) variation among hybrids for all traits ( Table 2 ).

There is a highly significant (p≤ 0.001) association between family size and workforce size; cultivated land area and average production yield; amount of organic fertilizer and average production yield.

A highly significant association was observed between pregnancy-risk status and teratogenic medication use (χ2(1)=12.89, p<0.001).

ΔR 2 ranged from 0.508 (for ITS) to 0.759 (for PU), with all F‐change statistics highly significant (p < 0.001), indicating these constructs explain an additional 50.8 to 75.9% of variance over and above controls.

The difference in the groups was statistically highly significant when independent ‘t’ test was applied (p<0.001).

This difference was highly significant (bootstrapping test confirming more similar fixation maps within than between fixation classes, p < .001).

A highly significant association was found between breakfast consumption and mental stress ( χ 2 = 272.725, p < 0.001).

Except for the factor loadings of the first indicator of each latent variable (e.g., PC1, IN1, CU1), which are set to a fixed value of 1.000 to achieve model recognition, the nonstandardized path coefficients of the remaining observed variables are statistically highly significant ( p < 0.001).

Combined with results from lean to morbidly obese subjects (n = 39) from previous study, the collective data show a highly significant correlation between BAT activity and body composition (P<0.001), respectively explaining 64% and 60% of the variance in BMI (r = 0.8; P<0.001) and BF% (r = 0.75; P<0.001).

Regions with highly significant changes (p<0.001) are delimited by black rectangles and magnified ( Figure 1 ).

The GTCS latency of PTZ control was found to be highly significant ( P < 0.001) at 120.10 ± 4.5 seconds compared to normal control.