“highly significant”

Bartlett’s test of sphericity was highly significant ( X 2 ≥ 575.55, p < .001 each), indicating that correlations between items were sufficiently large for conducting principal component analysis.

Consequently, all four immuno-inflammatory indices (SIICI, SII, SIRI, PIV) showed highly significant differences between the two groups (all p < 0.001), with the sepsis group demonstrating markedly elevated values.

The SARC_Cal_score was a consistent, highly significant positive predictor across all models (CatBoost: OR = 2.932 (2.096–4.305), p < 0.001; LightGBM: OR = 2.795 (1.899–4.51), p < 0.001; GBDT: OR = 4.475 (2.934–7.334), p < 0.001).

This analysis confirmed that the first five principal components (PC1-PC5) were highly significant (p < 0.001), as their eigenvalues substantially exceeded those obtained from randomly permuted data.

We found that hMILAN , UICC-7 , vascular infiltration , and tumor grading were highly significant prognostic parameters ( χ 2 p < 0.001, Table 7 ), while neoadjuvant therapy and underlying diseases remained nonsignificant. 4.

In the case of eukaryotes, although the stress on the NMDS was relatively high (0.24) and samples more dispersed, statistical differences between lakes were highly significant (PERMANOVA p = 0.001, R 2 = 0.44).

The average reduction was 59%, which was highly significant ( P < 0.001).

The largest magnitude of difference was between NFTD and NLSD, with NFTD being 10.5 dB lower ( p < 0.001, highly significant).

As expected, there was a highly significant main effect of tempo, with faster rates producing shorter ITIs [ F (2,100) = 9559.96, p < 0.001, η p 2 = 0.995].

*** indicates a highly significant difference at P ≤ 0.001.

The horizontal ROM is highly significant across all groups ( P < 0.001, η 2 = 0.182).

The highly significant interaction coefficient of 1,828.00 per 1,000 persons ( P < 0.001) means that SGHPs increased outpatient use by 1.83 outpatient visits per person per year.

Test contrasts (0.5–32%) showed a highly significant overall increase in heterogeneity for hit trials ( Figure 3c , paired t-test, p<0.001), but such modulations were absent for probe trials.

An initial multivariate statistical analysis (perMANOVA) on fungal community structure related to compartments and sampling dates revealed highly significant differences between compartments (F = 0.29521, p = 0.001) and marginally significant differences between sampling dates (F = 0.21081, p = 0.052).

Compared to native mgR/mgR and Ad.hTIMP-1 treated WT aorta, the NI is highly significant greater in Ad.hTIMP-1 transduced mgR/mgR aorta (p = 0.001; p = 0.001).

* p < 0.05 was considered significant, ** p < 0.01 was considered highly significant, and *** p < 0.001 was considered very highly significant. 3.

Patients aged over 70 and over 80 years demonstrated a highly significant decrease in OS with an HR of 2.2 (95%- CI 1.8–2.8, p < 0.001) and 3.0 (95%-CI 2.4–3.7, p < 0.001) compared to younger patients.

The results of the study showed that the correlation between clot stiffness and CCTs was highly significant ( r = 0.91, 0.93, and 0.93; p < 0.001, respectively).

In all statistical tests, P values<0.05 were taken to be significant (0.01≤ P <0.05 * significant; 0.001≤ P <0.01 ** very significant; P <0.001 *** highly significant).

In a logistic regression model that adjusted for the surveys, the declining trend of team-related reasons with increasing community registration completeness was highly significant (p < 0.001) while the adjusted OR for house-to house delivery vs. fixed point of 1.14 was not significant (95 % CI: 0.45–2.78, p = 0.8).

A highly significant improvement throughout the five years that were analyzed (from 10 to 4 %) is observed in Fig. 3g ( p < 0.001).

However, a highly significant difference was observed when comparing the two groups in terms of ABR: PWH with an ABR ⩾1 were significantly more likely to agree or accept GT ( p = 0.001).

A highly significant increase in the Th17 cell population was detected in the joints of CIA mice injected with CD146 – cells (Fig. 5b, c ; P ≤0.001).

PLD is highly significant ( p < 0.001) for dispersal in the model.

There was no main effect of prey size on pre-capture all-occurrence behaviors, but the comparison for behaviors surrounding consumption (post-capture all-occurrence behaviors and timed variables) was highly significant (MANOVA: Hotelling’s Trace = 2.3, F 24,82 = 3.9, p < 0.001).