“highly significant”

In Study 2, there was a highly significant association between future vaccination intentions against COVID-19 and the average VAX scale value ( r T2 = −0.72, t (258) = −16.69, p < 0.001).

On the other hand, graded doses (200 and 400 mg/kg) showed a highly significant reduction ( P < 0.001) in the weights of granuloma in comparison with the control in cotton pellet-induced granuloma model.

Specifically, the use of DIBH resulted in a highly significant decrease in the mean and maximum doses of the heart, the LAD artery, and the ipsilateral lung exposure ( P < 0.001), for both normal fractionation (NF) and hypofractionation (HF) treatment plans.

Furthermore, on intergroup comparison, the difference in mean plaque score was statistically highly significant ( P ≤ 0.001).

This elevated SBP persisted at 4, 6, 8, 10, and 15 minutes, with mean differences ranging from about 7 to 17 mmHg, all remaining highly significant (p < 0.001).

After adjustment for clinical presentation, the correlation between PDW and residual SYNTAX score remained highly significant (partial ρ = 0.455, p < 0.001), with only 9.6% attenuation from the crude estimate (ρ = 0.503).

The model was highly significant ( F (1,1710) = 7219.36, p < 0.001) and demonstrated a strong association with genome editing acceptability (R 2 = 0.808, Adjusted R 2 = 0.808).

The prevalence in different age groups showed a downward gradient, which was highly significant for rhinitis ( P < .001), conjunctivitis ( P < .001) and for asthma ( P < .01) ( S5 Fig ).

In terms of accessibility of services the lower ranking of Polish HCPs ( Mdn = 12) was highly significant when compared to other countries ( Mdn = 10, p < 0.001).

Spreading revealed a highly significant increase in pericentromeric ATRX ( P < 0.001) upon ageing.

For the mean values of days 5 and 6 in the cold, there were highly significant differences between the parental values for all six traits ( P <0.001; Fig. 2 ; Supplementary Fig.

The correlation between A n and g s was highly significant in lowland rice, in the wheat group, and for all data combined ( P <0.001), and weaker in aerobic and upland rice ( P <0.05) and in O. glaberrima ( P >0.05) ( Fig. 2B ).

Both the care self‐efficacy subdimension and the stoma self‐efficacy total score displayed highly significant positive correlations ( r = 0.946 and r = 0.726, respectively; p < 0.001), indicating a robust association.

Results : A decrease in all the steroid hormones measured was detected after 71 and 144 days of treatment with metformin, being more pronounced after 144 days of treatment and highly significant ( p < 0.001).

Staff from governmental universities reported significant lower satisfaction (41.3%) compared to those from private universities (65.1%), with a highly significant difference ( p < 0.001).

The results ( Figure 5B ) showed that 50 μM ACh was sufficient to achieve a highly significant difference (P < 0.001).

Adjustments for multiplicity were not performed due to the large sample size and the presence of highly significant results (most p -values < 0.001), which may diminish the risk of false-positive findings.

In Group C, very highly significant and marked difference in the ability of smear layer removal from coronal compared to middle and apical thirds ( P < 0.001).

The survey-weighted model was compared to the null model using an F-test, the results of which were highly significant (F(17, 116,812) = 114.75, p < 0.001), indicating that the predictors jointly improved model fit.

Ten percent SA's pushout bond strength (14.35 ± 1.80MPa) when was compared with 1% RFV (18.59 ± 1.70 MPa), was found to be lower and highly significant ( P < 0.001).

Through the analysis of positive correlation coefficients, we found a highly significant association between the brown module and DHCA-AKI (correlation coefficient = 0.98, p < 0.001, Figure 3(C) ), which included 209 core genes. 3.4.

There were highly significant differences between the shape of the frequency–intensity relationships for all groups at 20 μA versus 50 or 80 μA (p<0.001, Friedman’s test) even after controlling for changes in the median intensity caused by increasing current amplitude.

First, the heterogeneity was evaluated for the selected studies, and highly significant heterogeneity was identified ( I 2 = 96.6%; P < .001); thus, a random effect model was selected to estimate the pooled effect size.

4 , 7 In our cohort, we observed a moderate but highly significant correlation between LVEF and GLS (ρ = 0.47; P <.001), consistent with previously reported moderate-to-strong linear relationships. 7 , 8 , 9 A multivariable Cox proportional hazards model was used to identify independent factors of OS ( Table 2 ).

Further, a highly significant correlation between TLS and PWB (β = 0.687, p < 0.001) was mentioned by Widanti and Sunaryo [ 60 ] in their study of a sample of 235 participants in some of Surakarta’s hospitals (Indonesia).