“highly significant”

Spearman rank correlation between beetle tunnel volume and mass loss was highly significant (p < 0.001) with coefficient ρ = 0.49 (Fig. 4 ).

The initial column (Table A6) considers only ED attendances and migration status in 2017, revealing that first- and second-generation immigrants experience positive and highly significant differences of 2.9% and 5.1% (1), respectively, compared to Swiss natives ( p < 0.001).

The difference between two groups was highly significant ( p < 0.001).

When accounting for the discrepancy in root lengths, WT barley bound 4.8-fold more soil per unit of root length than brb ( Figure 1C ); as indicated by a highly significant ( P < 0.001) genotype*root length interaction.

The highly significant p -value ( p < 0.001) suggests a meaningful difference in the mean scores of the dependent variable across the treatment groups.

In multiple comparisons, all three pair-based comparisons were highly significant with a p -value of <0.001.

Variable selection Through statistical analysis, we found that factors such as gender, age, height, education, primary diagnosis upon admission, activated partial prothrombin time, albumin, method of catheter fixation, type of pre-filled sealing fluid, type of connector, catheter opening, type of dressing, and certain chemotherapy drugs (such as platinum, anthracyclines, alkylating agents, and plant alkaloids) exhibited highly significant statistical differences ( p < 0.001).

Additionally, RFM had a highly significant positive correlation with FM% (r = 0.751, p < 0.001), and changes in RFM during the lifestyle intervention were significantly correlated with changes in FM% [ 84 ].

Statistical Data Analysis The factorability of the data was checked using Bartlett’s sphericity test, which is highly significant at a 5% level with a p -value < 0.001.

Distributional analysis using violin plots, density plots, and the Kruskal–Wallis test (α = 0.05) to compare state-level distributions for the key sociodemographic and health profile variables indicated highly significant differences ( p < 0.001) with multimodal distributions confirming substantial heterogeneity across the sampled states ( Supplementary Figure 26 ).

This difference was found to be highly significant: t (24) = −9.86, p < 0.001).

The full model, which included Morphotype, Location, and their interaction, was highly significant (F(4, 27) = 7.2961, R 2 = 0.5194, p = 0.001), explaining over 51% of the total variance in symbiont community composition.

All associations were highly significant ( p < 0.001).

The differences between the two periods investigated in the present study were highly significant in all the measures, i.e., vigorous and moderate physical activity, walking, and total physical activity ( p < 0.001).

Likelihood-ratio tests comparing each model with ordinary logistic regression were highly significant (all p < 0.001).

The receipt of 3 doses of the BNT 162b2 mRNA vaccine was associated with a highly significant 96% reduction in COVID-19 infection (aHR 0.04, 95% CI 0.01-0.27, p = 0.001), a 91% reduction in symptomatic COVID-19 (aHR 0.01-0.71, p = 0.02), a 100% reduction in moderate, severe or critical COVID-19 (aHR 0.00, 95% CI 0.00-0.04, p < 0.001), and a 100% reduction in severe or critical COVID-19 (aHR 0.0, 95% CI 0.00-0.02, p < 0.001) compared to participants who received 2 doses ( Table 4 ).

Analysis of molecular variance revealed a low level of genetic differentiation but this was highly significant (p<0.001) among the cattle populations.

This difference was highly significant (χ2=20.4, p<0.001), showing that poor reduction quality was strongly associated with delayed healing (Table 3 ).

The trend of an increasing positivity rate was present and highly significant within this subcohort, mirroring the findings from the overall population (R 2 = 0.61, P < 0.001) ( Figure 4 ).

Model fitting comparison The fitting results of both MLR and RF showed that all variables appeared as highly significant ( p < 0.001) in the intermediate models.

The results from the SEM indicate a good model fit; the chi-squared ( χ 2 ) value was highly significant ( p < .001), as were the values of the goodness-of-fit index (GFI; 0.94), the comparative fit index (CFI; 0.92), and the mean square error of approximation (RMSEA; 0.012), which implies that the model fits the data well.

There was a highly significant difference among the three genotypes in this parameter (Kruskal-Wallis test H 2,313 = 14.89, p<0.001).

Results Decomposition score of large birds (i.e., hens) across islands and throughout seasons and days after fresh carcasses were placed in the field was a highly explainable phenomenon (79.9% of the variance accounted for by the fixed effects, plus 8.9% attributable to random effects, in a highly significant three-way random intercepts and random slopes mixed model: χ 2 = 380.6, df = 31, P < 0.001 derived from parametric bootstrap).

Impact of the proposed pT3a/pT3b substratification on survival parameters within pT3 CRC in the training cohort and in the validation cohorts We observed highly significant differences regarding all survival parameters between patients with pT3a and pT3b CRCs in all cohorts (DFS: P < 0.001 all cohorts, OS: P < 0.001 training cohort/validation cohort 2, P = 0.002 validation cohort 1, DSS: see below).

All effects of birth year-month, sex, and sow parity on the ADGs (except for sex effects on DGBW, and sow parity effects on DGPT and BFAT) were highly significant (p<0.001).