In diabetic wound healing, the experimental observation (rate of contraction, epithelization, mean wound healing time) of the study group exposed to 3-7 J/cm 2 dose were highly significant as compared to the control group ( P < 0.0001).
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Individually, HiFiCas9 treatment had a highly significant impact on viability (F (1, 12) = 69.55, p < 0.0001), accounting for 72.96% of the total variance.
20 , 21 , 27 , 28 The difference between median dd-cfDNA levels in low and high hs-troponin I groups was highly significant (median dd-cfDNA: 0.04% versus 2.35%, respectively; P < 0.0001; Figure 2 D).
The findings demonstrated a substantial prevalence of dental fluorosis, with a highly significant difference observed between primary and permanent dentitions and BMI categories (p < 0.0001).
This suppression was highly significant for NS neurons (both P < 0.0001; Fig. 7 E) and also significant for WDR neurons ( P = 0.0219 and P = 0.0011, respectively; Fig. 7 F).
Hence, the association of clade (C) with infections in horses is highly significant (p<0.0001; chi 2 test).
Better correlation was achieved when using the LS system compared with the IVIS system, although in both cases the correlation was highly significant ( r = 0.9223, P < 0.0001 and r = 0.7992, P < 0.0001, respectively).
The within‐design heterogeneity is highly significant ( Q = 75.37, p < 0.0001).
Expression was extremely significant in the distal colon of the double infection group ( p < 0.0001).
The difference was highly significant (unpaired t -test, p < 0.0001).
These differences between etofenamate and placebo treatment were statistically highly significant ( p value < 0.0001).
When comparing the haplogroup origin distribution between provinces and comarcas the difference is highly significant (χ 2 p-value <0.0001), since, as expected, virtually all the samples with a TMA from the three comarcas (Ngäbe-Buglé, Emberá-Wounaan, and Kuna Yala) show Native American mtDNAs (99.2%).
Correlations Relationships of antibody levels between and in CSF and serum A highly significant correlation between CSF and serum anti-tau IgG antibodies was observed in the MS group as well as in the control group (r = 0.6, p<0.0001; r = 0.7, p<0.0001; respectively).
5A ) and were highly significant (all p<0.0001, FDR-corrected).
The association of CA IX overexpression and stem cells markers was highly significant (p<0.0001), constituting “the” hallmark of almost all the tumors with poor prognosis (Fig. 2 a , b ; Fig. 3 ).
Despite the differences in strength, all correlations were highly significant (p < 0.0001).
There was a highly significant ( p < .0001) difference in clinicians’ knowledge transfer questionnaire scores pre- and post-educational session.
Discrimination based on NEXN expression was highly significant within the data set of Taylor et al , however in this case low gene expression was associated with poor prognosis (log-rank P≤0.0001).
The overall model was highly significant ( p < 0.0001), indicating that bacterial concentration and assay configuration together explained most of the variability in signal.
The correlation between B-cell counts and mTLS area was highly significant ( p < 0.0001) with an r value reaching 0.900 ( Figure 7 K).
E was between 36 and 41 % lower in both parameters than the two older scanners; these differences were highly significant as well ( p < 0.0001 in both instances).
Morphometric analysis revealed a highly significant reduction in cell size in the spt7Δ mutant compared to WT ( p < 0.0001, Figure 6 B). 3.4.
LRTI was also more frequent during the HBoV1 primary infection (5%) than during the next interval (0%) but was too rare for the difference to reach significance; however, when combined with URTI, the difference was highly significant (p<0.0001).
Results showed a highly significant positive correlation between average promoter CpG methylation and IFNG RT-qPCR ΔCt (Spearman R = 0.67, p < 0.0001, Figure 2C ), demonstrating increased IFNG promoter methylation is associated with decreased IFNG RNA expression.
These differences in fibrinogen concentrations among blood groups were highly significant ( p < 0.0001), suggesting blood type may have an influence on fibrinogen levels in COVID-19 patients.