Excerpts

There was a highly significant correlation between the planned pitch and the deviation in pitch ( p < 0.001; correlation coefficient 0.489), planned right/left, and difference right/left ( p < 0.001; correlation coefficient 0.335) as well as planned back/front to difference back/front ( p < 0.001; correlation coefficient 0.345). 4.

In the non-hypertensive cohort, the risk increase was even more pronounced (OR = 1.67, p < 0.0001), whereas no significant association was observed in the hypertensive group (OR = 1.18, p = 0.142), with a highly significant interaction ( p < 0.001).

Hearing threshold differences across 0.25–4 kHz were highly significant among occupational groups (all P < 0.001, η 2 = 0.43–0.48), exceeding Cohen’s large-effect criterion (>0.14).[ 13 ] This confirmed a strong link between occupational exposure and hearing loss, consistent with Blair et al .[ 14 ] The hearing loss of fighter and helicopter pilots showed a ‘high-frequency priority’, with maximal threshold elevation at 3–4 kHz, aligning with their respective noise spectra (3–6 kHz for fighters; 2–5 kHz for helicopters).[ 15 ] This correspondence suggests that the spectral composition of noise determines the hearing loss pattern.

The prophylactic hydrocortisone treatment effect on survival without BPD W40 was found to be highly significant (OR = 2.08 [95% confidence interval: 1.36 to 3.17], P < 0.001).

Unexpectedly, highly significant associations were also found for getting around indoors and feeding (p < .001), as well as for the IADL managing paperwork and finances (p < .001).

The analysis of variance showed that the multiple regression analysis model was highly significant (F = 13.9, df = 3, p<0.001) with partial regression coefficients demonstrating that this was due to the numbers of larvae collected per week increasing over time (coefficient = 0.17, T = 2.4, p = 0.016) and decreasing with increasing salinity in the ovitraps (coefficient = −0.77, T = −5.8, p<0.001).

As main effects, harvest season and rootstock were highly significant ( p ≤ 0.001) for TSS over the five seasons, but no significant interaction between these factors was observed ( Table 4 ).

The difference in WHO grade distribution was extremely significant (p<0.001).

Additionally, vocal cord paresis demonstrated a significant association with elevated VHI-10 scores, presenting a median (IQR) of 8 (10) and a highly significant P -value of <0.001 compared with other complications.

A highly significant difference was noted ( p < 0.001) between treated and control mice in favor of the treated mice [ 7 , 13 ].

Similarly, a highly significant difference was observed in perceived ideal sleep duration (H = 12.123, p < 0.001), where females (mean rank = 161.85) perceived their optimal sleep need to be significantly higher than males (mean rank = 132.50). 3.7.

Specifically, we could demonstrate an inverse association with renal function as displayed by highly significant correlations with the glomerular filtration rate of cystatin C (r = -0.649, P < 0.001), cystatin C (r = 0.638, P < 0.001), creatinine (r = 0.352, P < 0.0001) and urea (r = 0.400, P < 0.001) serum concentrations (Table 3 ), indicating renal clearance of suPAR.

Most interestingly, there was a highly significant main effect CONDITION ( F [1,29] = 26.27, p < .001, partial- η 2 = .48), revealing generally stronger alpha-synchronization (or lower alpha-desynchronization, respectively) during task performance under high as compared to low internal processing demands (see Fig. 2 ).

For both dry and fresh SLW, a trait that generally tracks well with leaf thickness, the irrigation regime effect was highly significant ( P < 0.001) for the Pima population but nonsignificant ( P > 0.05) for the upland population.

Both traits showed highly significant differences among root positions ( p < 0.001; Fig. 5A–B , Table 1 ).

Demographic, Clinical Parameters, and Diabetes Distress Level The level of DD according to sociodemographics is shown in ( Table 2 ); there was no significant difference between the different age groups and gender in both groups ( p > 0.05), while there were highly significant differences in the level of diabetes distress ( p = 0.001) in the two groups in terms of BMI (normal, overweight, and obese), exercise (active or inactive), HbA1c, % (or ≥7), diabetic complication (present or absent), and medication used (diet and exercise, OHA, insulin, and insulin and oral medica

5 , GABA+/Cr level in the anterior reading system has a strong relationship with real word reading (R 2 = 0.25, p = 0.02), and the L-FG to L-IFG connection strength also exhibits a highly significant relationship with real word reading (R 2 = 0.47, p = 0.001).

Effect of Therapies Group I- Nyagrodhadi Ghanvati (Shamana group) Effect of Nyagrodhadi Ghanavati on chief complaints The Table 2 reveals that the Nyagrodhadi Ghanavati group provided a statistically highly significant ( P < 0.001) relief in Prabhuta Mutrata by 78.94%, Avila Mutrata by 71.42%, Kshudhadhikya by 73.17% and Trishnadhikya by 77.14%, whereas the relief obtained in Kara-pada-tala-daha was 83.33%, which was statistically significant ( P < 0.001).

Hospitalization The cumulative hospitalization rates were 50.3 (95% CI, 38.2–62.0) per 100 patient-years in the PTX group and 66.5 (95% CI, 50.2–83.6) per 100 patient-years in the matched non-PTX group, and this was a nominally significant result ( p < 0.001) ( Table 2 ). 3.4.4.

Comparisons between regions over follow-up After differences in demographics and baseline clinical variables, including blood pressure and medication use, were allowed for, there were highly significant ( P ≤ 0.001) differences in event rates during follow-up for all outcomes when all three regions were compared against each other ( Table 3 ).

Effect of HLA alleles on the relation of SD ( r ′ ) versus age There was a highly significant, positive overall dependence of SD ( r ′ ) on age ( Figure 1 ; P < .001).

They also confirmed a strong trend toward higher S-100 levels at 24 hours post-admission for those patients with poor neurologic outcomes who underwent MTH ( P = 0.001).

The defining characteristic differentiating the two groups was the noise level exposure, with the high-noise group experiencing significantly higher mean nocturnal noise levels than the low-noise group, with a t-value of 38.674 and a highly significant P -value ( P < 0.001).

All parameters showed highly significant differences (p < 0.001) between the centres, with the exception of disease duration (p = 0.022).

These differences were found to be statistically highly significant ( P < 0.001) [ Figure 5 ].