A highly significant relationship ( p <0.0001) was observed, with a plasma concentration of 355 ng/ml identified as that required for intracellular mycobacteriostasis.
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A 2 × 2 contingency analysis comparing the groups was highly significant (Chi-square = 25.75, df = 1, p < .0001, Phi = .30).
An analysis of the z -transform of these correlations coefficients revealed that the difference was highly significant, t (75) = 8.41, p < 0.0001 (GF items with each other: z = 0.709; GF items with other items: z = 0.237).
The coefficient for suspect titer infection was highly significant ( p < 0.0001), suggesting that the presence of potential disease significantly correlates with higher antibody levels.
Results As reported nearly five decades ago, we found a significant trend toward increased mortality with increasing ASA PS for patients undergoing both elective and emergent procedures in a large contemporary cohort ( p < 0.0001).
bassiana ARSEF 8465 recorded against each tested concentration showed highly significant differences ( F = 6.33; p = 0.0001) as shown in Table 3 .
Significance levels were denoted as follows: * p < 0.05 (significant); ** p < 0.01 (very significant); *** p < 0.001 (highly significant); **** p < 0.0001 (extremely significant); and ns, p > 0.05 (not significant). 3.
The highly significant slopes ( P < 0.0001) between the linear relationships ranged from 0.7 to 1.1, with the weakest relationships apparent for Q. robur (average slope of 0.8 for all methods), likely caused the relatively low amount of detect vessels and its variance between methods.
For MSP2-3D7, the different methods of coupling resulted in highly significant differences in antibody-binding affinities (p < 0.0001 for all comparisons, except between N- and C-terminal His-tagged couplings where no difference could be seen).
On the contrary, in WB-irradiated mice, the average percentage of apoptosis was 14.5% ± 0.76, a highly significant value compared to the unirradiated group ( p < 0.0001; Figure 7 a–e).
Statistical significance levels are categorized as follows: extremely significant (****, p < 0.0001), extremely significant (***, p = 0.0001 to 0.001), very significant (**, p = 0.001 to 0.01), significant (*, p = 0.01 to 0.05), and not significant (ns, p ≥ 0.05). 3.
GDF-15 showed the most robust response, with highly significant main effects for both time and dose and a strong interaction ( p < 0.0001).
Noteworthy, a highly significant correlation (d = 1.88, p < 0.0001) was observed between ataxia and severe cerebellar hypometabolism.
The loads exhibited a highly significant difference on application of statistical analysis ( P < 0.0001; one-way ANOVA).
Correlations between MVP and Other Markers/Proteins of Inflammation A highly significant correlation was found between MVP levels and Neu, CRP, and IL-6 (r = 0.48; p < 0.0001, r = 0.42; p < 0.0001, r = 0.36; p = 0.0004, respectively; Figure 7 ), whereas a less-significant correlation was demonstrated between MVP levels hBD-1 (r = −0.25; p = 0.0170).
The correlation coefficient between drip loss and colour score of LM was negative and highly significant (r = −0.62, P < 10 −4 ); two adjacent SNPs associated with both traits were within a region of 11.12 Mb (between 84.83 and 95.95 Mb) on SSC9, which indicates that this region may contain a pleiotropic QTL (Table 3 ).
brevis CD2 treatment resulted in a highly significant reduction in BoP score compared to baseline ( p < 0.0001 ).
In the present investigation, the experimental group demonstrated a highly significant reduction in waist circumference from 98.84 ± 5.66 cm to 92.41 ± 5.40 cm following the intervention (p < 0.0001).
Variation of hominin body size by time Linear regressions of body size by chronometric age ( figure 1 ) find a strong positive and highly significant correlation with body mass ( F = 226.551; p < 0.0001; R 2 = 0.475; d.f. = 250) and stature ( F = 125.337; p < 0.0001; R 2 = 0.384; d.f. = 201).
We performed colocalization analyses for each of the identified loci with an nominally significant eQTL ( p < 0.0001) and assumed a single causal variant within the window tested (lead eQTL SNP +/− 200KB).
As shown in Table 2 , the first canonical function (F1) had the highest eigenvalues and was highly significant across all fertility scales (Bartlett’s test, p < 0.0001), concentrating most discriminatory information.
The exact G test for differentiation indicated that, on average, differences in allele frequency distribution among populations were highly significant (exact p value ≤0.0001).
The best-fit polynomial regressions for FRC and ERV were highly significant ( Fig 2 ) with p<0.0001.
The variation in OSR between early mating season (<5 days from the beginning), middle mating season (5 to 20 days), and late mating season (>20 days) was highly significant (analysis of variance: F 2,76 = 10.99, P < 0.0001; Tukey honest significant difference test: early versus middle, P = 0.0002; late versus middle, P = 0.037; Fig. 2 ).
Highly significant relationships were identified for both parameters ( P <.0001).