Excerpts

The χ 2 testing of the frequencies of ABVIs in individuals with TB as the cause of death and individuals with NTB causes of death revealed a statistically extremely significant difference between the two groups (χ 2 = 18.357, df = 1, P<0.0001).

Similarly, the proportion of converted cytosines in CpG dinucleotides in experimental versus control samples was highly significant (Fisher exact test: P = 0.0001).

Looking at the effect of this temperature difference on early spiderling development to the 3 rd molt (see Fig 2 ), we found that family had a highly significant effect (F 33,1010 = 254, p<0.0001), UHI temperatures slowed development by 5 days (approximately 25% of the interval between molts 2 and 3; F 1,1010 = 40.4, p<0.0001), and there was no significant interaction between family and temperature (F 33,1010 = 1.15, p = 0.26).

The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001).

Additionally, non-parametric one-way ANOVA analysis for comparing methylation levels of one loci in different tissues was highly significant for all loci (CpG-1 and CpG-2 for both male and female subpopulations, Krustal-Wallis test, p<0.0001) A relatively greater level of methylation was observed in most tissues at IAP-LTR, Line-1 and Myc .

As indicated in Fig 2C , the difference between malignant tissue and non-malignant paired tissue was highly significant ( p <0.0001), and the difference between malignant tissue and benign tumor tissue was significant ( p = 0.0115).

At higher doses (25 μ M), Cd data showed clear differentiation starting from time T1, with highly significant differences compared to CTRL ( p ≤ 0.0001 at T1, T2 and T3) ( Fig. 7(b) ).

The random effects for feed and COM, the zero inflation parameter, and the square root concentration effect were all highly significant (p<0.0001).

Blood elevation of GST-π, DJ-1, NT-proBNP, NDKA and IL6 in stroke patients were highly significant ( p<.0001 ).

There was a highly significant 3.5-fold difference in fever load in non-survivors compared to survivors (p<0.0001).

As this factor showed a highly significant effect on the HD AAO (P<0.0001), we split the HD patients of the EHDN REGISTRY cohort as well as the 1 st European HD cohort by ancestry and analysed the impact of the ATG7 V471A polymorphism in these single groups.

The differences between the control and FRET situations were highly significant (p<0.0001).

All variables included in the SDMs were highly significant for both the pine and the disease (p-value < 0.0001).

At the protein level, treatment with pLECs-CM led to a highly significant increase in IL-6 concentration in the cell culture supernatants of both the LFC and AN-LFC (p < 0.0001).

The Ct values attained for the SARS-CoV-2 E gene using the AGPC method showed a highly significant correlation to those reported for the Cobas ® 6800 system (r = 0.97, p<0.0001) and the Maxwell ® instrument (r = 0.98, p<0.0001).

Interestingly, the overall number of negative predictors was lower (median 2.0, range 0–5) in individuals with SVR versus patients with virologic failure (median 3.0, range 1–5) and this was highly significant ( Fig 4A , P <0.0001).

Highly significant relationships were identified for both parameters ( P <.0001).

Nevertheless, ANOVA test indicated a highly significant difference among all tumor types and normal thyroid tissue for each marker (p<0.0001).

As a cross-check, calculated (via DIC and TA) and directly measured pH values were compared and showed a highly significant correlation and no outliers (pH (total scale) = 0.9176 pH (NBS) +0.5453; r 2 = 0.99; p<0.0001).

Although there were highly significant differences in caudate and putaminal SUVR values between the controls and PD patients ( P < 10 -4 for caudate, P < 10 -22 for putamen), there was greater range of overlapping SUVR values derived from the PET-guided method between the two diagnostic groups ( Fig 3 ).

The biophysical factors, including land preparation and cropping system, showed highly significant (P < 0.0001) associations with ascochyta blight intensity in the logistic model as a single variable, and they also maintained their associations with both incidence and severity when included into the reduced variable model ( Table 3 ).

After adjustment for the residual confounders, TAVI as compared with conservative management was associated with highly significant risk reduction for all-cause death and HF hospitalization (HR 0.46, 95%CI, 0.32–0.69, P = 0.0001, and HR 0.25, 95%CI 0.16–0.40, P<0.0001) ( Table 2 ).

The results in Table 7 demonstrate a highly significant difference among algorithms ( P <0.0001), substantiating the robustness of bDTOPRS in feature selection.

These differences were highly significant at the 2-hour time point for both combinations (p < 0.0001).

Contrary, the F ST between stocks was highly significant for both species, being 0.05677 for P. grosskopfii , and 0.10067 for P. yuma (P < 0.0001) ( Table 1 ).