“highly significant”

Residuals of tick observations were likewise highly significant [estimate = 0.8 ± 0.04 (SE), z ‐value = 18.7, p < 0.0001], further highlighting that tick observations contain unique variation beyond seasonality influencing disease case numbers.

Preexisting hypertension, diabetes mellitus, coronary artery disease, chronic kidney disease and malignancy were all highly significant risk factors for 30-day hospital admission following initial ED discharge ( p < 0.0001).

Because the surgery-by-histology interaction term was highly significant ( p < 0.0001), we conducted Kaplan-Meier and log rank analyses comparing survival curves between treatments separately within histologies.

The global effect of fixation was highly significant (likelihood‐ratio p<0.0001), underscoring fixation strategy as the principal determinant of postoperative FWB in this cohort.

Due to the large number of data sets in each population, both correlations were highly significant (p<0.0001), though data points are not fully independent.

Employment status was also highly significant ( p < 0.0001), with employed respondents reporting more dissatisfaction, while students tended to be more satisfied.

The difference is highly significant (mean number of kin: 16.4 ± 11.9 vs 5.8 ± 8.8; F 1,322 = 82.72, p < 0.0001).

Additionally, linear models assessing the importance of location in describing the canonical function generated from linear discriminant analysis were highly significant ( R 2 = 0.857, p < 0.0001). 3.2.

Frequency of tobacco consumption in pre- and post-health educational interventional phase was found to be highly significant difference ( P < 0.0001), whereas there was no significant difference in comparison of both of the phases regarding the type of tobacco product consumed [ Table 1 ].

By modulating ATP levels through the addition of arsenate, we show that there is indeed a highly significant correlation ( P < 0.0001) between cellular ATP levels and the development of both IbpA and Ph aggregates at the population level ( Fig. 5D and E ), as was also reported previously ( 14 ).

Association between iNOS haplotypes and risk of malaria The Linkage Disequilibrium tests (LD) showed that the two polymorphisms of iNOS at position-954G/C and −1173C/T were in highly significant LD ( D ’ = 0.6648, r 2 = 0.4003, p < 0.0001) in the investigated subjects.

The superiority of propolis was highly significant ( P < 0.0001; Mann-Whitney U test modified for superiority testing with a threshold 0.5 days; Figure 4 ).

The increase in December peak counts between 1989 and 2019 was highly significant (b = 0.129 ± 0.019; R 2 = 0.620, F 1,29 = 47.323, p < 0.0001).

Unpaired Wilcoxon test confirmed this difference was highly significant ( P <0.0001).

Statistical analysis by One-way ANOVA revealed a highly significant seasonal effect on the anti-inflammatory activity of R. officinalis essential oils ( p < 0.0001).

Similarly, a highly significant regional difference was detected for A. phagocytophilum ( P = 0.0001), with the highest seroprevalence observed in Western (23%, CI: 14–30), Southern (22%, Cl: 14–31), and Central Norway (14%, CI: 3–36), compared to a markedly lower seroprevalence in Eastern Norway (2%, CI: 1–6) and no positive samples detected in Northern Norway (0%, CI: 0–13).

However, oral administration of PPBE at both doses of 200 and 400 mg/kg B.W showed a highly significant increase in urinary output as compared to the control and furosemide groups (p<0.0001).

Importantly, the risk stratification revealed a highly significant correlation with objective response ( P < .0001, chi‐squared test, Figure 3D ).

III + IV) the difference was highly significant ( p < 0.0001) with successful separation in 9 out of 10 cases using 0.01 mol/L HCl.

In both groups the most frequent alleles were Ala-14 and Ala-16 ( Supplementary Table 2 ), but the Ala-14/14 homozygous genotype was predominant in CH patients, either in absolute numbers and in percentages ( Supplementary Table 2 , Figure 3A ), with a highly significant X 2 test for trends (p<0.0001).

The main effects of cue validity and search type were highly significant, F(1, 23) = 33.7, p < .0001, η 2 p = .59, and F(1, 23) = 298.9, p < .0001, η 2 p = .93, respectively, and so was the interaction between these factors, F(1, 23) = 30.2, p < .0001, η 2 p = .57.

The analysis across all 673 loci yielded highly significant differentiation ( p << 10 −4 ) between pairs of superpopulations.

This was confirmed via a 2-way permutational multivariate analysis of variance (PERMANOVA) analysis which identified a highly significant effect on diversity between adult, tadpole and water samples (F = 10.71; df = 2; p = 0.0001), a significant effect due to the housing conditions (F = 2.84; df = 1; p = 0.0056), but also a significant interaction effect due to the fact that diversity in tadpoles differs significantly between clean and standard conditions whilst it remains consistent in adults (F = 2.69; df = 2; p = 0.0011).

The heterogeneity test (QE) yielded a highly significant result ( d f = 25, Q E = 327.0448, p < 0.0001), further underscoring the presence of considerable heterogeneity.

Differences were considered significant when p ≤ 0.05 (*) or highly significant when p ≤ 0.0001 (**).