“highly significant”

These models showed that indeed there are highly significant differences ( p < 0.00001) in infection rates between some populations for all three pathogens tested ( Data S2 ).

Interestingly, expression was limited to grade 2 and 3 DCIS with a highly significant interaction (p < 0.00001) between PPARγ and grade.

Not surprisingly, the effect of motion direction was highly significant (t(17)=21, p<10 -5 ).

Subgroup differences were highly significant (Chi 2 = 754.79, df = 5, p < 0.00001; I 2 = 99.3%) ( Figure 5 ). 3.6.

Meanwhile, the triple interaction between OV, dwell-time advantage, and TMS condition remained highly significant ( β = –0.710, CI = [–1.019,–0.401], p = 10 –5 ).

Despite this high level of variability, the overall effect remained highly significant (Z = 5.15, p < 0.00001), indicating the consistent benefit of the combined treatment in accelerating jaundice clearance in neonates ( Figure 5 ). 3.6.3.

We searched for differentially methylated regions (DMR) where 100 adjacent CpG sites on the BeadChip are regulated accordingly—only two genomic regions revealed such a highly significant enrichment of SA-DNAm changes ( P < 10 −5 ): the HOXB locus on chromosome 17 (SA-hypermethylated) and the keratin associated protein (KRTAP) locus on chromosome 21 (SA-hypomethylated; Supplemental Fig. 3).

In particular, Putamen and Anterior cingulate activations are reported with highly significant alterations ( p < 0.00001).

Mander’s overlap coefficient also showed a strong increase (>0.7), indicating that the majority of autofluorescent signal colocalized with mitochondrial structures under high-dose conditions. Statistical analysis on Pearson’s r coefficient using one-way ANOVA revealed highly significant group differences across all three conditions: AF-DAPI ( F (2,66) = 139.52, **** p < 0.00001), AF-MitoTracker ( F (2,68) = 28.68, **** p < 0.0001), and DAPI-MitoTracker ( F (2,66) = 36.53, **** p < 0.0001).

Besides, we use the Pearson Chi-Square test to evaluate the distribution of FIGO stages I, II, III, IV among expansile and infiltrative tumors, and found there was a highly significant association between tumor type and FIGO staging (Pearson chi2(3) = 110.9206, p <0.00001) Figure 4D . 3.3.4 Publication bias Publication bias was investigated by Begg’s funnel plots.

Though the differences were small, particularly on the original task, they were highly significant (P < 10 −5 ).

For this process we filtered our complete data set by 1-way ANOVA to enrich for mass features with highly significant information ( P < 10 −5 ) in regard to the distinction of seed classes either excluding or including the colour variants of each seed type (Table S2 ; columns AV-AW).

The mean of the MICs, 0.71 (range: 0.66 to 0.76, n = 166 for each), was highly significant, p < 0.00001 (SD across the 18 MICs = 0.03, 95% CI [0.72, 0.69]).

The difference was statistically highly significant (p < 0.00001).

This difference is statistically highly significant (p < 0.00001, χ 2 -test, confidence interval: p < 0.05).

A highly significant over-representation of genes involved in the cell cycle was identified in association with ACPA-positive RA (24/43; p<1.0×10−5); figure 2 ; online supplementary gene-list 5).

A highly significant association (p < 0.00001) was found between the trend of menstrual products used by the participants and their monthly income/capital to maintain their livelihood (Table 2 ).

An unpaired Student's t -test demonstrated that both combination treatments were significantly different to the appropriate controls, which resulted in an overall highly significant one-way ANOVA test ( P <0.00001).

( 2 ), was highly significant (likelihood ratio 799.7, DF = 6, p < 0.00001), and there was no evidence of lack of fit (likelihood ratio 10.7, DF = 177, p = 1), indicating that further interactions, or higher order interactions, between variables, were not substantial.

There was no heterogeneity (I 2 = 0%), and the results were highly significant ( Z = 5.03, P < 0.00001). 3.5.5.

All included factors exhibited highly significant P -values ( P < 0.00001), indicating strong statistical validity ( Figure 10 ).

Conversely, for mortality outcomes, the combined effect for stage I–IV HR+ breast cancer was highly significant, demonstrating a 23% reduction in overall mortality risk (HR = 0.77, 95% CI: 0.73–0.81, P < 0.00001).

7c ), the VOPP1 / WWOX ratio was a highly significant variable ( p < 0.00001) with a hazard ratio of 3.2 (95% CI 1.9–5.3).

We observed a strong and highly significant overlap of 516 genes (Monte-Carlo empirical P < 10 −5 , normal approximation P < 10 −300 , Additional file 1 : SI Fig.

Results Nadi Shodhana Pranayama showed a significant decrease in ART (p = 0.01) and Bhramari Pranayama showed a highly significant decrease in ART (p < 0.00001).