“highly significant”

The different clinical groups on the other hand, were highly significant (p = 0.0013 for Bmi-1 and p = 0.013 for Mel-18).

Pairwise population F ST values were highly significant (after Bonferroni correction, p < 0.00138), with the exception of the Mochdre and Gavenny sites, and the Mochdre and Lea sites (Table 3 ).

The Mann–Whitney test showed that this difference was highly significant ( p < 0.0014; d = 4.113; Figure 5 M).

In this case, GM1‐induced change was highly significant ( P = 0.0014).

The weighted average of this correlation across all psoriasis datasets was highly significant, [r s = 0.31 (0.12, 0.51); p = 0.0014], with no evidence (p = 0.33) of any substantial residual heterogeneity (i.e., there was no remaining variability in effect sizes that was unexplained) ( Figure 3B ).

A comparative analysis between the two clinical groups showed a highly significant difference of p = 0.0014 for prevalent CD45 − in the patient’s group.

The differences among the four groups were highly significant in the soleus for unlabeled type I (Kruskal-Wallis Chi2 (3ddl) p = 0.0014) and type IIa fibers (p = 0.0025), and in the plantaris, for type IIa fibers (p = 0.0011).

A combined statistical analysis of the triticale and wheat results (Figure 1a–c and Figure S3a,b ) showed that this correlation was highly significant ( P = 0.0014, Data S5 ).

Additional data from our laboratory (not shown) found highly significant (p = 0.0014) overlap between some of these miR targets and proteins associated with sensitivity to cisplatinum.

This revealed a highly significant difference between actual data and predicted data in the zoledronic acid group ( p = .0014, Wilcoxon test) compared with a non-significant difference in the control group ( p = .22, Wilcoxon test) confirming that this is not simply a chance effect.

This difference was highly significant ( p = 0.0014).

In contrast, a highly significant excess of lung carcinomas (p = 0.0014, Fisher's exact Environmental Health Perspectives I 66 -=-.

The difference was highly significant ( P = 0.0014).

The difference between the best versus worst LVepi site was highly significant (p = 0.0014) as it was for best versus worst LVendo (p = 0.0002).

When we compared cell size to lipid storage, we found a highly significant correlation ( p = 0.0014, r = 0.9691, Fig. 4 E), resulting in no difference when intracellular lipid content was normalized to cell size ( p = 0.485, Supplementary Figure S8 B).

the association remained highly significant when crust type was specified as a random effect in the analysis (P = 0.0014).

Acute Treatment with Typical and Atypical Antidepressants Induce Positive Affective Biases in Rats Acute treatment with the serotonin-specific reuptake inhibitor (SSRI), fluoxetine, induced a highly significant positive bias in rats (0.3–3.0 mg/kg, RM ANOVA, F 3,45 =6.10, p =0.0014, Figure 2a ).

A logistic regression analysis analyzing preoperative feasibility assessment of IORT yielded highly significant test results for the variables “clinical tumor size (cT)” ( p = 0.0014; OR 3.102) and “tumor–skin distance” measured by ultrasound ( p < 0.0001; OR 0.026).

The data, quantified in Figure 4B, demonstrates a highly significant, age-dependent increase in nuclear H3K9me3 integrated density in control OPNs (p=0.0014), an effect that was completely abrogated in aged flies with OPN-specific knockdown of dSetdb1 (p>0.9999).The consistency between the global changes observed in whole-head lysates (Figure 2A) and the specific, quantitative changes measured within the relevant neuronal nuclei (Figure 4B) provides strong, convergent evidence for our conclusion that dSetdb1 mediates an age-dependent increase in H3K9 trimethylation.

Analysis of the concatenated uidA and mutS data with MULTILOCUS yielded highly significant but low θ values when comparing isolates from the Roodeplaat dam catchment with those from the Rietvlei dam catchment ( θ = 0.012 , p = 0.0014) or when comparing phylogroup B2 isolates from the two catchments ( θ = 0.031 , p = 0.0104).

On the other hand, the difference between the asymLSF and symLSF conditions was highly significant ( t (6) = 5.603, p = .0014 for the female-face condition, and the difference between them for the male-face condition was obviously significant but beyond the measurable range.

Despite a three fold reduction in sample size compared to the full CADCZ patient group, the analysis of CAD patients with metabolic syndrome revealed highly significant association with increased effect size ( P = 0.0014, OR = 2.34; P = 0.0016, OR = 2.41; additive and dominant models, respectively).

We compared WSIs between the groups of sleep-responsive and wakefulness-responsive cells, and the difference was highly significant ( p = 0.0014).

In addition to these decreases, CRP levels showed a highly significant increase (P = 0.0014**), suggesting an inflammatory response related to cancer.

However, when considering all samples—including post-supplementation samples—the correlation between serum zinc concentration and the AZDS remains highly significant ( p = 0.0014), implying once again that AZDS is a reliable tool for determining zinc status ( Figure 2 I). 2.3.