In LAN-1, 8 μM ( ̃2-fold IC 50 ) of nemorosone increased the portion of cells in G0/G1-phase over a period of 24 hrs in a highly significant manner (n = 3, P ≤ 0.001), while simultaneously decreasing the percentage of cells in S-phase ( Fig. 1A ).
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The final adjusted model was highly significant, F(5, 505) = 38.91, p < .001, and explained a substantial portion of the variance in negative spillover (R2 = 0.278).
Mean Corpuscular Volume showed a highly significant peak LOD score of 6.8 on chromosome 7 at 79 Mb and Mean Corpuscular Hemoglobin Content had a peak LOD score of 8.2 on chromosome 7 at 86 Mb (corrected p values < 0.001, Fig. 3C, 3D ).
In common wheat ‘Dakotana,’ highly significant correlations were observed between the dry weight of roots and root colonization ( r = 0.93, p < 0.001) in drought conditions, whereas under well-watered the root traits showed a reverse manner, and even highly negative relations between root volume and root colonization were observed ( r = −0.99, p < 0.001) ( Tables S1–S7 ). 2.5.
Values with p < 0.05 were considered statistically significant; when p < 0.01, they were deemed highly significant; and those with p < 0.001 were deemed extremely highly significant. 3.
For instance, Moran's I for spatial heteroskedasticity in the most vegetated snapshot of the scale-dependent data was only 0.021, but was highly significant ( p = 0.001) because the sample size was n = 10,000.
Differences were considered statistically significant at p < 0.05 and highly significant at p < 0.001.
There was a highly significant effect of treatments on key primary RVFV vectors (χ 2 = 199.99, df = 3, p<0.001).
Highly significant correlations were found between the atherosclerotic plaque and hypercholesterolemia, hypertension and diabetes (in each case p < 0.001).
aureus BSI increased by 57% from 2005 to 2018, with a significant trend (p < 0.001).
Overall there was a highly significant preference for original images (65.13% correct, SD = 17.57%, t = 5.448, 39 df , p <.001), with preferences for the original that were individually significant with p <.05 for 20 (50.0%) of the images (65.8% to 97.4% correct).
In case of six measurements— IMaF, PMaF, SMaC, IMaC, BMaC and IMeF, the gender differences were found to be very highly significant ( P < 0.001).
Although four of the six significant correlations were highly significant ( p < 0.001), their effect size was relatively small (i.e., smaller than 0.3, Cohen, 1992 ).
As expected, listeners reported increasing segregation of A and B subsets of tones as the frequency separation (ΔF, task 1A) between tones was increased, and this main effect was highly significant ( F [1.61, 17.66] = 53.01, p < .001, η p 2 = .83).
GSEM analysis revealed a significant positive effect of the homozygous wt (A/A) genotype on PTX-3 serum levels (standardized path coefficient of β = 0.259, p = 0.0300) and a highly significant effect of PTX-3 serum levels on disease severity (β = 0.468, (p < 0.0010; Figure 5B ).
Coefficients of multivariate models were mostly highly significant ( p < 0.001) for both climate databases (Table 2 ).
The comparison between sprayed (Spr) and unsprayed (Uspr) fields in both Study Areas showed a highly significant difference (Contingency tables— p < 0.001).
The correlation between the presence of the cTnT dp2 band and ADD is highly significant (Spearman’s ρ = 0.552, p ≤ 0.001).
Overall, there was a highly significant between-team difference ( p < 0.001) and within-team difference ( p < 0.001) for chest compression rates, length of cycles, and number of delivered chest compressions.
Furthermore, all the measured indicators of FWKVV (M3) and FMPLH (M5) groups at the concentrations of 100 and 200 μ M, except the CL of the FMPLH (M5) group at 100 μ M, showed extremely significant differences with those of the model groups ( P < 0.001).
On the basis of the BLUP data, we detected extremely significant positive correlations between the diameters of different internodes (r > 0.9, p < 0.001), and the correlation between adjacent internodes (r = 0.97, p < 0.001) was even greater.
No significant difference was detected between the effective MNP coverage and anaemia prevalence ( Figure 1 A), but the differences between deworming and anaemia prevalence and between the MNP + Deworming condition and anaemia prevalence ( Figure 1 B,C) were highly significant ( p < 0.001).
Across increasing census tract poverty levels, there were statistically highly significant trends ( P < 0.001) of increasing hospitalization within each race/ethnicity group (Figure 3A ), except for non‐Hispanic Blacks ( P = 0.008)..
The association of the incidence of extreme positions and the Hamilton score in our test group was highly significant (Spearman’s Rho=0.41; p=.001).
The linear model was highly significant ( p < 0.001) and showed a moderate explanation of variance ( R 2 = 0.2, adjusted R 2 = 0.16).