“highly significant”

The results will be considered highly significant when the significant probability is less than 0.001 (***p-value <0.001).

Pain was significantly more prevalent in the 2 ml group 259 (63.5%), compared to the 1 ml group 41 (32.8%), with a highly significant association (χ2 = 37.656, p < 0.001).

No significant difference was detected among environments because highly significant correlations ( P < 0.001) were detected among all four field trials ( Supplementary Table S3 ).

ANOVA revealed that the effect of OA on the number of univalents and ungrouped chromosomes per cell was highly significant ( P < 0.001).

In an overall analysis, a highly significant correlation of VASp with movement restriction (MR) ( p -value ≤ 0.001), the presence of joint effusion ( p -value ≤ 0.001), and the diagnosis of RA ( p -value ≤ 0.001) were observed.

Grassland type had a highly significant effect on Ustilaginomycetes ( p < .001) and a significant effect on Eurotiomycetes and Orbiliomycetes ( p < .05).

The scores were in the range of 0.81 to 1.00, which counted as an almost perfect agreement for each theme [ 33 ] with a highly significant P value (95% CI 0.57-1.0; P <.001), which means the agreement is significantly different from what would be achieved by chance.

A Pearson’s chi-square test confirmed a highly significant association between sex and chest pain type (χ2=57.68, df=2, p<0.001), indicating a genuine difference in presentation patterns.

Overall this difference was statistically highly significant ( p < 0.001).

There was also a highly significant effect of age on the prevalence of G. duodenalis (age*presence/absence of infection χ 2 12 = 70.8, P < 0.001).

3.5 Genetic differentiation and Bayesian clustering of phenotype sorted samples Moderately large and highly significant genetic differentiation was observed between the sympatric spotty and plain wrasse sampled in Galicia, as revealed by the 82 SNPs (pairwise F ST = 0.025, p < .001; Table 3 ).

Moreover, across the entire dataset, sperm vitality and osmolarity exhibited a highly significant negative linear correlation (P < 0.001; R 2 = 0.31; n = 35).

We found highly significant isolation by distance ( p < .001), with 30% of variation explained by geographic distance ( R 2 = 0.30).

The difference between the frequency of psychiatric morbidity was highly significant (X =11.64, df=l, p<0.001).

Analysis of variance revealed highly significant differences ( p < 0.001) among the genotypes, blocks and its interaction for all the traits studied showed that a wide and significant variation existed among the genotypes and traits.

Estimates of GCA and SCA variance for grain yield under acid and optimal soil conditions The effect of environment, genotype, and line and tester GCA variance were highly significant ( P ≤ .001) for grain yield and significant ( P ≤ .01) for replications and SCA (Table 5 ).

Using a bivariate statistical analysis, we found that the correlation between the increase in CrxGFP donor age and the amount of integrated GFP-expressing photoreceptors was highly significant ( P < 0.001) ( Supplementary Material, Fig. 2 C ).

The difference was highly significant, t (94) = 4.77, p < .001, d = .96, indicating greater proportional RT priming for R2 INC/SAME than R3 SAME .

In the high line, there are highly significant changes in allele frequencies (p<0.001) on 10 chromosomes and significant changes (p<0.05) on 6 additional chromosomes.

Although the overall number of significant tests between clusters at each follow-up remained stable at each follow-up, the number of highly significant pairwise statistical test (i.e., p < 0.001) decreased from 60.0 to 36.7%.

A highly significant overall effect was found on the mPANAS negative affect scale (Wald = 10.334, df = 1, P =0.001) and the Emotional Abuse subscale of ETISR-SF (Wald = 8.57, df = 1, P = 0.003).

Overall, non-neoplastic dermatoses exhibited a lower median MVD compared to the CTCL group with a highly significant difference in-between (20 versus 37, p<0.001).

All three comparisons remained highly significant (p < 0.001), and the absolute differences mirrored both the size and direction reported by Wang et al.

A highly significant association was identified between employment status and knowledge levels ( p < 0.001), with unemployed participants showing significantly poorer knowledge about WASH compared to those who were employed.

Differences between the admission and discharge depression values were highly significant (p<.001).