“highly significant”

Unexpectedly, a highly significant ( P = 0.0022) increased frequency of naive B cells in the peripheral blood of healthy controls (HCs) compared with patients with RA was observed ( Figure 1B ).

sporotrichioide s was also demonstrated by a highly significant ( P = 0.0022) negative linear regression of SCIRP contents against culture age during the period of 35–56 days after inoculation.

In control pups, separated for 15 minutes per day, gamma power had highly significant correlations with both age (p = 0.0022) and weight (p = 0.0024); gamma in pups separated for 180 minutes per day was not correlated with either factor.

These directional changes were highly significant (LME: F = 6.12, p = 0.0022).

In particular, the reaction time had a highly significant effect ( p -value = 0.0022), confirming its strong influence on the degree of substrate surface phosphorylation.

In a positive/negative thresholded analysis, without taking into account expression level in the positive patients, channel expression did not add predictive value over age alone in the elderly and mid-age patients (older than 65 and 17.28 to 65 years; p = 0.59 and 0.44), but was still highly significant as a bad prognostic factor in young patients (p = 0.0022).

Indeed, analyzing the joint data set revealed a highly significant correlation between H corr and behavioral performance (r = 0.75, p < 0.0022, see Fig. 6 B).

These effects could also be validated in HUVECs in vitro, as cells overexpressing miRNA-26b show a highly significant ( p = 0.0022) twofold induction of Cx40 transcription, compared to cells transfected with a non-coding siRNA (siNC) ( Figure 1 b).

However, improvement in dyspnea scores in the success group was highly significant compared with the failure group ( p = 0.0022).

This decrease was highly significant in the naive group (N-peptide, p = 0.0022, R-, p = <0.0003, and C-, p = 0.0367) whereas it was non-significant in the semi-immune group (N-peptide, p = 0.902, R- p = 0.263, and C-, p = 0.371) (Fig. 4 ).

The exact test (analyzed with GraphPad Prism) revealed a highly significant reduction in L3MBTL2 expression in the CCI group compared to the Sham controls (U = 0, exact P = 0.0022).

Similarly, the comparison of I-L between males and females suggested a highly significant difference ( P = 0.0022) on both sides [ Table 6 ].

Protection in the 8 h group was highly significant vs CG (p = 0.0022 Fig. 4C ), and the 47% protection after 24 h approached but did not reach significance (p = 0.0566) ( Table 3 ).

Non-parametric statistical analysis using the Kruskal–Wallis test resulted in highly significant ( p = 0.00223, p < 0.01) differences between the three groups of genotypes with their HFP measurements.

The trend was highly significant ( p = 0.0023).

Based on the Cox PH model analysis, the difference between treatment and control groups was highly significant with p = 0.0023 (one-sided), adjusting for disease status at randomization.

Indeed, if the same model is constructed without E3, the trend becomes highly significant ( p -value = 0.0023), and the adjusted R 2 is much improved (0.86).

The interaction was highly significant with F(4,76) = 4.58, p < .0023 and F(4,76) = 4.55, p < .0024 for Exp1 and Exp2, respectively.

The statistical comparison of net changes in gametocytaemia between treatments revealed a highly significant interaction between exposure and sampling day (model 3, time * exposure : χ 2 8 = 23.946, p = 0.0023) ( figure 1C ).

The linear correlation of the in vivo and in vitro measures from brains with both procedures was highly significant (R 2 = 0.709, P = 0.0023; Fig. 3F ).

Here, the results of dosage meta-regression were highly significant ( β = 0.0013, p = 0.0023): the likelihood of an adverse event was strongly related to the dose of CBD.

As shown in Figure 1 E, we found a highly significant inverse correlation between FOXM1 and the OS in both cohorts (Log rank test, p = 0.0023 and <0.00010, respectively).

After correcting for multiple testing, genetic effects were highly significant regardless of whether TBV was included as a covariate ( p value < 0.0023), while shared environmental effects were not significant for any ROI for either model.

We observed a highly significant difference in the frequency of stenoses between 30% and 50% DS between the PAPS group ( n = 24) and the control group ( n = 7) (CI95: 0.59–0.90, p = 0.0023), as well as the SAPS group ( n = 30) (CI95: 0.65–0.92, p = 0.0002).

As in the LEW.1WR1 crosses, there is a highly significant difference in incidence in LEW.1W crosses ( Figure 5B , χ2 test for trend, p=0.0023), but no significant difference in the latency of those rats that become diabetic.