“highly significant”

The same pattern was found in EVTs ( Figure 1 D–F) and foetal endothelial cells ( Figure 1 G–I), where statistical analysis proved the downregulation to be highly significant ( p < 0.001). 2.2.

This showed a highly significant correlation between genes’ expression levels, which were determined by the two methods (Pearson R = 0.913, p < 0.001; Figure S2 ).

Significant difference was indicated by * ( P < 0.05), highly significant difference was indicated by ** ( P < 0.01) and extremely significant difference was indicated by *** ( P < 0.001). 5.

In all cases, the results were highly significant p < 0.001, and differences in prevalence were smaller in women. 4.

Chelation therapy was universally applied in thalassemia major patients (100%), while only 17.4% of sickle cell anemia patients underwent this treatment, a highly significant difference (χ 2 = 35.801, p < 0.001) ( Table 1 ).

It could be observed that the three factors A, B and C were all highly significant ( P < 0.001).

When grouped by patients, the DSCF test demonstrated substantial individual variability, with highly significant W values (all p < 0.001) across comparisons.

In contrast, SE showed highly significant changes across near-task and recovery time points (Friedman P<0.001), and sphere followed a similar pattern (Friedman P<0.001).

There was a highly significant negative correlation between the proportion of active BCKD complex and liver weight in AL-fed mice ( r = − 0.877; p < 0.001) (Fig.

A highly significant difference of the ES distributions between these two groups was observed ( p < 0.001).

There was a highly significant correlation between the activity index and the number of M1 macrophages ( p =< 0.001; rs = 0.41).

The F statistic (85,679) testing the overall regression relationship is highly significant ( p < 0.001), indicating a significant association between the set of predictor variables and patient survival.

Changes in AL and ChT were shown to have a highly significant but weak negative association at analysis of covariance ( p < 0.001, r 2 = 0.077, slope b = −0.321) [ 13 ].

The prediction accuracy is highly significant ( P -value <0.001, permutation testing), confirming that the temporal decoding variability effectively relates to behavior.

This difference in LTI was confirmed in the ANCOVA, where a highly significant group effect (F 2,29 = 10.3, p<0.001) was detected; this factor alone accounting for >40% of the total variance.

There was highly significant difference in the mean values of SPO 2 , pulse rate, and PEFR between the test and control participants with P < 0.001.

This result was confirmed by the one-way ANOVA with the within factor Condition (Baseline, Adaptation, Neutral) which revealed a highly significant main effect [ F (2 , 48) = 128.21; p < 0.001; η 2 = 0.646, LogBF 10 = 19.6] explained by Adaptation being different from both Baseline and Neutral (all p s < 0.001; Tukey-Kramer correction) and Baseline not being different from Neutral ( p = 0.49).

Moreover, both caudal carotid artery sensors (Channels #3 and #4) demonstrated highly significant (p < 0.001) increases in firing frequency during the first interval of 0–20%, while the rostral sensors (Channels #1 and #2) also captured increased firing, but to a lesser degree than the caudal sensors (Channels #3 and #4) (p < 0.05) (Fig. 4 ).

The correspondence analysis between the abiotic facets and vegetation cover were highly significant (χ 2 ≥1669000, p <0.001), indicating that abiotic facets and vegetation were not independent of each other.

The logarithmic relationships between lake size and WST are highly significant during spring, summer, and autumn ( p < 0.001) and exhibit strong explanatory power (R2 up to 0.74), whereas this relationship is much less significant for winter values, as indicated by markedly lower R2 values and reduced statistical significance.

As highlighted in Table 9 , all WHOs negatively impacted the mean time across all participants when completing ADL1 and ADL2, with most having a significant ( p < 0.05) or highly significant ( p < 0.001) detrimental impact.

All factor loadings are highly significant ( p < 0.001), affirming that each item meaningfully contributes to its designated factor.

Furthermore, a highly significant variation in seroprevalences rates (χ 2 = 130.9, P < 0.001) was observed by the geographic origin of animals, the region of Guelmim-Oued Noun was the one with the higher rate ( 87.3% ; 48/55) (Fig. 2 ).

The difference in heart rate between control and lignocaine groups remains highly significant at all times of assessment ( P < 0.001).

The influence of the genotype factor on the degree of migration was highly significant, as revealed by two-way ANOVA ( F (1, 32) =55.842, p<0.001).