Excerpts

In all three studies, the primary endpoint was achieved, with a highly significant reduction in PANSS total score from baseline to endpoint (p < 0.0001).

Compared to control cells, MSCs exposed continuously to either cigarette or e-cigarette smoke aerosol extracts exhibited a highly significant inhibition of cell viability, with 30% and <60% of MSCs surviving the 2-week cigarette and e-cigarette smoke aerosol extract exposure ( p < .0001), respectively.

The decrease in the proliferation rate was highly significant ( P <0.0001) as confirmed by an MTT assay ( Figure 3b ), in agreement with reduced levels of proliferation-related transcripts.

The resulting Spearman's correlation coefficient, r, was 0.65 (95% confidence interval 0.45–0.79), which was highly significant (P<0.0001).

The difference between the average tumor growth rates in the treated and untreated groups was highly significant ( P <0.0001).

As t appl , P mean and Z gen were used to calculate the values of E total , I mean and Q total , these variables showed highly significant multicollinearity (R 2 > 0.99, VIF > 200, p < 0.0001).

As shown in Figure 4B , the statistical analysis yields a highly significant result, indicating that the top 50 genes are strongly associated with known AD genes in all three networks (P-value < 0.0001 ).

The Wilk’s Lambda test was highly significant ( p < 0.0001), indicating the significance of the DA model ( Supplementary File S3 ).

This was a highly significant difference ( p < 0.0001) compared to the age-matched hSOD1-WT mice ( Figure 6 B).

Notably, PBA administration produced a robust and highly significant reduction in seizure events in Slc6a1 +/A288V mice (** p < 0.0001) (Figure 8G ), mirroring the therapeutic efficacy observed in the Slc6a1 +/S295L model. 4 Discussion 4.1 SLC6A1 Variants Cause Loss of Function via ER Retention and Protein Trafficking Deficits SLC6A1 variants lead to profound GABA transporter dysfunction, disrupting inhibitory neurotransmission through a combination of impaired trafficking, altered protein folding, and reduced transporter activity.

These differences were highly significant ( P -values <0.0001).

This result was highly significant ( p < 0.0001 using Fisher’s exact test), indicating that stability of the chemicals was a considerable contributor to our ability to determine their CCS value.

We observed highly significant differences in CCT distributions between all CU and AD dementia subgroups ( p < 0.0001), also noting significant differences between AD dementia subgroups and CU NC, CU SCC, and all MCI subgroups ( p < 0.004), and also between all dementia and both all CU ( p = 0.0018) an CU NC ( p = 0.028) subgrou

4 ), and all comparisons of plasma IGF-1 between matched treatment groups of adults versus juveniles were highly significant at P < 0.0001.

This test indicated a highly significant difference among cell types (χ 2 (8) = 276.98, p < 0.0001).

The variables showed highly significant marginal effect ( P <0.0001) except age ( Table 4 ).

As tested by in vitro germination and acetocarmine tests, the analysis of variance clearly showed that storage method, days of storage, and the interaction between storage methods and days of storage had a highly significant effect ( p ≤ 0.0001) on pollen viability.

For ABTS assay results, the extraction method, plant type, and their interaction were all highly significant for ABTS (all p < 0.0001).

Controlling for weight and food intake, differences in CD11d mRNA abundance comparing controls and high-Ca mice were not statistically significant, but the reduction in CD11d expression in mice fed high-Ca + NFDM remained highly significant ( P < 0.0001).

Despite its simplicity, our model was highly significant (P<0.0001) and explained 24% of the variation in the occurrence of stop codons among introns.

This difference was highly significant ( P <0.0001, Mann–Whitney U -test).

Whereas the value of d ′ was clearly significantly above zero for both the conscious (mean = 3.74, SD = 0.87; t (34) = 25.40, p < 0.0001) as well as the imagery (mean = 3.32, SD = 0.83; t (34) = 23.74, p < 0.0001) conditions, this was not the case for the unconscious condition (mean = 0.05, SD = 0.20; t (34) = 1.57, p = 0.127; BF01 = 0.549; Fig. 2 A ).

There was highly significant difference between the eruption status of different groups (considering P < .0001).

Eighty-seven per cent of markers in the CEPH data and 83 per cent of markers in the NASC data had greater heterozygosity than the corresponding marker in the Samoan data; a sign test showed that both of these differences were highly significant ( p < 0.0001 for both tests).

However, the separation of the survival curves was highly significant (log-rank P < 0.0001), confirming the preventive effect of the intervention over time.