“highly significant”

Correlations of SAGE and eSAGE to MoCA and MMSE are also highly significant. eSAGE comparisons to SAGE Spearman correlation of SAGE versus eSAGE was 0.882 ( p < 0.0001). eSAGE and SAGE are related by the formula: eSAGE score = –1.05 + 0.99 × SAGE score (Fig. 2 ).

5 E) levels in the tumor tissues of the PAC treatment group compared to the control group, with both lipid peroxidation and Fe 2+ levels exhibiting an increase of over 10 times that of the control group, indicating a highly significant statistical distinction between the two groups (p < 0.0001).

RESULTS: Diabetic patients showed highly significant decrease in the level of visfatin compared to the control group (P = 0.0001).

There was no association between the consistency of weight tracking and the prevalence of excessive GWG in low income women (p = 0.47), and there is a highly significant association in not-low income women (p ≤ 0.0001).

While no significant difference was observed between ZH11 and the transgenic family carrying no transgene, highly significant effects ( P < 0.0001) were detected for the five T 2 families carrying homozygous transgene (Table 4 ).

After subtracting background fluorescence, we noticed a highly significant (p<0.0001), 2–2.5-fold decrease in mCherry fluorescence intensity at the TetO repeats on the anaphase compared with the G1-phase chromosomes ( Figure 1A, B ).

The positive relationship of age with plasma normetanephrine remained highly significant ( P < 0.0001).

This difference was highly significant ( P < .0001).

According to research by Deodhar, Atul et al., patients who were using Upadacitinib 15 mg had a highly significant ( p < 0.0001) ASAS40 (Assessment of SpondyloArthritis International Society 40%) response (45%) at week 14 compared to those receiving a placebo (23%) [ 3 ].

A Kruskal–Wallis test confirmed a highly significant association ( p < 0.0001) between development quartiles and immunization coverage.

While this makes logical sense, a closer look at table 2 and figure 3 shows that global longitudinal strain (GLS) has a highly significant correlation (r = 0.61, P = .0001).

A regression analysis of calving pattern and total cost of rearing also showed a highly significant difference ( P <0.0001) between the cost of rearing on all-year-round calving herds and spring and autumn calving herds (data not shown).

This difference is highly significant ( p < 0.0001).

Triglyceride, HDL-C and Atherogenic index of plasma There was a highly significant reduction in TG from 261.11 ± 74.13 mg/dl (baseline) to 171.94 ± 86.51 mg/dl (visit 5) in the amla extract group ( p < 0.0001 within the group), whereas the TG reduction in the placebo group was from 247.62 ± 57.70 mg/dl to 210.47 ± 65.27 mg/dl (Fig. 3 a).

When the association was analyzed using 500 kb genome windows, a highly significant and positive, but very weak, correlation was found; gene density explained only 3% of the variance in off-target site density ( Figure 2C ; r = 0.17, p < 0.0001). 3.2 Targeted sequencing depth To estimate the coverage depth obtained by the bait-capture targeted sequencing approach at off-target sites, we computed the depth of coverage at pre-filtered variant sites identified by Mutect2 ( Figure 3A ).

Overall, carriers of unbalanced Rea demonstrate a highly significant fiour-fold female predominance (11 M/46 F, SR = 0.24), different from population ratio of 1.06 at p < 0.0001, while male predominance (SR = 1.09) among carriers of mosaicism for balanced Rea is not different from population ratio of 1.06.

Results Patients with schizophrenia compared to controls Using general linear model, repeated measures ANOVA, highly significant main effects were found for repeated measure (i.e. joke type: F = 112.9, p < 0.0001) and group (F = 42.6, p < 0.0001) as well as a significant interaction of group by joke (F = 10.3, p = 0.003).

However, all other cell types showed highly significant (p < 0.0001) increases in nuclear elongation with dilation.

The interaction between plasma treatment and salinity was highly significant ( P < 0.0001) across all GP parameters, highlighting the complex relationship between these two factors.

At 38 °C a similar pattern emerged; the overall predator effect was highly significant (ANOVA on the binomial generalized linear model, effect of predator treatment: LR χ 2 = 26.30, d.f. = 2, P < 0.0001; Fig. 2a ), but that was only attributable to lycosids, which caused the highest mortality, significantly different from control and pisaurid effect (contrasts: lycosid-control: z = 3.73, P = 0.0005; pisaurid-lycosid: z = −2.75, P = 0.01).

Results Phenotypic variability and estimates of heritability Analysis of variance revealed a highly significant ( P < 0.0001) difference among the genotypes both for individual locations and data combined across locations (Table 1 ).

Highly significant differences were observed as regards questionnaires scores between Tafluprost and PF Timolol groups and controls ( p < 0.0001).

All main effects such as genotype, trial, and their interaction, were highly significant ( p < 0.0001) for all studied traits.

At the end of the study, 231/435 (53%) study children completed their vaccination schedule at the fifth contact; 158/256 (62%) were from the intervention group compared to 73/179 (41%) from the control group, a highly significant difference (P=0.0001).

The ANOVA results for the set (i) showed highly significant and statistically greater Ks in the set of 26 mitogenomes: Ks = 1.618 ± 0.019, Ka = 0.384 ± 0.019 ( n = 325), F = 1949.2, d.f. = 1; 648, p < 0.0001 (effective hypothesis decomposition).