“highly significant”

Furthermore, partial correlation analysis adjusting for urine osmolality confirmed that Foam Half-life ( T 1/2 ) maintained a highly significant, independent association with pathological albuminuria (partial r = 0.74, P< 0.001), confirming that the digital surfactant signature accurately reflects protein leakage rather than simple variations in water excretion.

After additional adjustment for baseline disease severity markers and platelet count in Model 3, the associations remained highly significant (intermediate: aHR = 2.70, 95% CI: 1.60–4.59, p < 0.001; late: aHR = 6.33, 95% CI: 3.42–11.70, p < 0.001).

Second, SEW shows a strong and highly significant effect on family governance ( β = 0.62, p < 0.001).

The Spearman rank correlation across all 16 ROIs was highly significant with r = 0.75 ( p = 0.001), suggesting a high degree of similarity in the decoding accuracy distribution across visual cortical regions between the two datasets.

The declines in PCV7 types, PCV13 types, and the rise in serotype 15A (compared with all serotype 15 in 2005/06) were all highly significant (p < 0.001, logistic regression adjusted for clustering by centre).

The change in vitamin D levels (delta) between the groups was highly significant ( p < 0.001), indicating effective supplementation.

The model was highly significant ( p < 0.001, Nagelkerke R 2 = 0.282).

Living donor type exhibited a highly significant ( p < 0.001) positive impact on the time to graft failure.

To focus on EV proteins potentially playing a role in cellular uptake, only identified proteins coded for extracellular space with highly significant enrichment ( P < 0.001, Supplementary Fig. 17 ) were selected for further analysis (see Supplementary Table 6 for protein accession codes).

We observed highly significant positive connectivity between the dorsal horns ( r = 0.03; t = 9.5; p < 0.001) as well as between the ventral horns ( r = 0.05; t = 11.6; p < 0.001) and were thus able to replicate previous findings.

The season effect on agdw was significant (P < 0.05) and the [CO 2 ] effect was highly significant (P < 0.001).

A highly significant correlation was observed between the percentage of tumor cells with MET gene copy number ≥3 and CEP7 copy number ≥3 (R 2 = 0.90, p <0.001) across two subtypes of PRCC.

The differences between the two groups were all highly significant ( p < .001): drug-dependent prison inmates scored higher than non-drug-dependent inmates in every domain and, consequently, manifested a higher overall psychological distress level.

A highly significant negative correlation was found between those two values (r= − 0.812, p < 0.001).

The highly significant survival was found at 200 mg/kg ( p < 0.001), and moderately at 50 and 100 mg/kg ( p < 0.05).

Cell death of more than 20% (cell viability less than 80% compared to the control untreated cells) was considered highly significant ( p < 0.001).

The overall Time × Treatment interaction was highly significant, F (2, 151.9) = 94.85, p< .001, indicating that the two groups showed significantly different trajectories of change over time.

Results and Discussion The Monte-Carlo randomisation tests show that the ENFA marginality factor is highly significant for each modelled species (all p<0.001).

The median time spent on the general instructions page was also 3.0 sec, and the relationship between time spent on the instructions and the time spent on the prompt page was highly significant ( p <0.001), making time spent on the instructions page a good variable to control for potential differences that may exist in participants who spend more or less time reading text.

As reported in Table 5 , there were no significant main effects of Structure or QP, but the Structure × Response interaction was highly significant (Estimate = −2.34, SE = 0.203, t = −11.53, p < 0.001), reflecting a crossover pattern between Island and Nonisland structures depending on answer type.

The propensity score was highly significant ( p < 0.001), indicating that baseline covariates explain most of the variation in APOP risk.

Settings for both observers revealed a highly significant main effect of the adapt condition on the image appearance (S1 F(2,45)=29.5, p<.001; S2 F(2,45)=58.3, p<.001).

Additionally, the difference between Month 3 and Month 12 was highly significant (Adj. p < 0.001), whereas the change between Month 3 and Month 6 did not reach the threshold of statistical significance following Bonferroni correction (Adj. p = 0.11).

A multiple group comparison of microbial species among CK, BT, and RT treatments showed that 8 microbial genera exhibited highly significant differences ( P ≤ 0.001) across treatments, including Luteitalea, Rokubacteria, Sphingomonas, Arthrobacter, Nitrospira, Gemmatimonas, Tectomicrobia , and Solibacter .

The differences between males and females are highly significant for the wheat variables (quantities, energy, and iron intake) ( p < 0.001) ( Table 2 a) but not for the rice variables ( Table 2 b).