“highly significant”

Thus, of the 16 patients that were stained strongly for Hpa2 (+3), 15 (94%) were diagnosed as grade 1 or 2 and only 1 (6%) was diagnosed as grade 3, differences that are statistically highly significant (p<0.001).

However, among the chest X-rays (CXRs), blood sugar measurements and electrocardiograms (ECGs) that anaesthesiologists thought as necessary and recorded in the PAC sheet, 21-44% of these were still done unnecessarily when compared with recommendations and the difference was highly significant ( P = 0.001) [ Table 4 ].

However, a highly significant association was observed between tumor recurrence and the expression of PIWIL-2 and PIWIL-3, with mean ± SD values of 0.33 ± 0.23 (P = 0.001) and 0.28 ± 0.12 (P = 0.001), respectively.

The difference between these two means was highly significant, F (1, 978) = 740.19, p < .001, η 2 = .42.

Cholecystoenteric fistulae were present exclusively in the converted group (6, 18.18%), with no occurrences in the laparoscopic group, representing a highly significant association ( P < 0.001).

Contrasts analysis showed that the effect of l-mequitazine 10 mg alone was highly significant compared to placebo ( p < 0.001).

A highly significant difference was observed for en bloc resection rates of rectal lesions (69.6 % vs. 97.5 %; P < 0.001), but not for lesions localized proximal to the rectum.

In the negative HSP group, sleep score showed a highly significant negative correlation with the STAI State score (r = −0.41, p < 0.001).

Bartlett’s test of sphericity also yielded a highly significant result (Approx. = 16,704.881; df = 861; p < 0.001), indicating that the factors were appropriately correlated for factor analysis ( Bartlett, 1950 , 1951 ).

The effect of the ISD on vaginal birth success was highly significant, with an AUC of 67.7% (p<0.001, 95% CI [0.604–0.750]).

In the case of CGP20712A and CGP 12177, the differences were highly significant ( P < 0.001; one‐way ANOVA; Fig. 10 A).

The differences between WT and KO mice are highly significant ( p < 0.001) at both 16 and 22.6 kHz.

All populations' pairwise F ST values were moderate–high and were highly significant ( F ST = 0.14 to 1, p < 0.001; see Table 3 ).

In this best model, the smooth term of the interaction between week of year and latitude was a highly significant predictor ( p < 0.001).

ChatGPT-4o achieved a mean OQS of 21.67 (SD 0.58) versus 21.00 (SD 0.71) for Gemini Pro, a difference that was highly significant ( p < 0.001).

Statistical analysis showed a highly significant difference ( p < 0.001) in bacterial abundance and diversity across year of collection, season, location, and host species.

All correlations were highly significant ( P < 0.001), encompassing WBC count, CRP, PCT, and APACHE II scores.

In terms of ductility, the 0.3 Vol% GO sample demonstrated the highest elongation at break (56.97 ± 2.0%), a highly significant increase of over 55% compared to the control ( p < 0.001).

Notably, however, for the Bowel and Urinary summaries, model coefficients for time and quadtime were highly significant (all p < 0.001) and pre-BL ADT patients exhibited a significantly greater decline in urinary scores per follow-up compared with those who had not received pre-BL ADT ( p < 0.0025).

Factors Influencing Foraging Behavior Table 3 shows that food presentation type had a highly significant effect on foraging behavior ( p < 0.001) in this study, and weather was also significant ( p < 0.042).

A Generalized Linear Model was used to estimate the effect of age group, race and rural status on the probability of missed HPV inoculation opportunity, all effects were highly significant as was the overall model (P<0.001).

The healthy-like EF probability for the WM training group increased substantially from 14.6 % at baseline to 40.2 % at follow-up ( p < 0.001), with a highly significant group × time interaction ( p < 0.001; Supplementary Table S10, Figure S8).

Statistical analysis revealed a highly significant difference in number of cases across months, with a p-value of < 0.001.

The pre-post campaign difference in MR coverage in each stratum was highly significant ( p < 0.001).

Linear regression analysis showed a highly significant correlation between liver [KA] and [AA] ( r = 0.931; P < 0.001), but not between liver [KA] and [3-HAA] ( r = 0.303; P = 0.141).