To test this hypothesis in our zebrafish model, we administered AVT at three doses intraperitoneally (i.p.) to dominant males and observed a highly significant reduction in their aggression (to 7-30% of sham; paired t -tests: t 6 = 4.568 and P = 0.004; t 7 = 5.227 and P = 0.001; t 8 = 7.286 and P < 0.001; for 0.5, 1, and 5 μg/g.b.w. doses, respectively; Fig. 4A ).
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Of more concern is the highly significant difference in the baseline value among the groups ( p = 0.004), which was not statistically accounted for.
There was an increasing trend for the Lawani index of authors, AAGR = 9.4%, p = .004, as of affiliations, AAGR = 11.2%, p = .002 and of countries, AAGR = 6.8%, p = .002.
The differences in correlation with positive and negative scores for MEM and LZP, respectively, were highly significant ( P = 0.004; Fig. 7E ), demonstrating the specificity of these effects.
On the contrary, the relationship between BMI ( x ) and accuracy ( y , volumes measured by water displacement minus volumes measured by SkanLab) was highly significant ( y = −2.55 x + 69.19; R 2 = 0.266; p = 0.004 ) . 3.2.2.
5d clearly shows that our model captures the described observed relationship between the large-scale circulation anomaly and rainfall over Pakistan, with the correlation of r = -0.39 being highly significant ( p = 0.004 ).
However, fatigue had a highly significant effect on the hip’s peak internal rotation angle (P = 0.004, F = 8.66, η2 = 0.09).
The complete virus distribution model returned an overall highly significant contribution of candidate drivers taken altogether (MGLM with 999 random permutations, n = 103 samples × 5 virus species, multivariate score = 126.3, df = 32, p = 0.004).
There was a highly significant advantage for TXA patients after 6 h hours (6.8% CI 5.8–7.8 versus 9.1% CI 8.0–10.3, p = 0.004) but p values decreased with increasing time after admission.
a trend toward significancep = 0.004
2.7 ± 2.5, p < 0.001), and a trend toward significance for item 3 (3.0 ± 0.9 vs. 2.1 ± 1.2, p = 0.004).
These results were driven by the no-vax population: the chi-square test between vaccinated and not vaccinated groups was highly significant ( p = 0.004).
McNemar’s test confirmed highly significant differences between the classifications supported by combined biomarkers and the one based on standard EEG biomarkers only ( p = 0.004).
It showed a significant trend for acupuncture to decrease the occurrence of OHSS in PCOS women (RR 0.64; 95%CI: 0.47 to 0.87; P = 0.004; I 2 = 0%, Figure 8B ).
The green path exhibited the lowest PSC rates over time for path-specific trends, with a significant trend ( p = 0.004).
According to allelic models, the findings demonstrated that there is a highly significant distinction between healthy and pregnant patients ( P = 0.004, OR = 1.22) (Fig. 1 ).
As a result, we found all the differences highly significant ( P < 10 −10 ), except the difference between TribeMCL and gUPGMA, which was only marginally significant ( P = 0.004) (see Supplementary Figure S2).
However, the difference between the eastern and western regions was highly significant, with an OR of 3.068 (95% CI: 1.391–6.769, p = 0.004).
showed a trendp = 0.004
At univariate analysis, only relative increase in MMP9/TIMP2 ratio proved significantly associated with sICH, while MMP9/TIMP1 ratio showed a trend toward significance ( p = 0.004, p = 0.018, respectively).
Regarding TPTD parameters, ANOVA for repeated measurements showed a significant trend only for EVLWi (P=0.004) ( Figure 1 ).
When we added concreteness as a covariate to the ANCOVA model, the effect of number of senses on H13_SemD remained highly significant ( F (1,121) = 8.77, p = 0.004).
There was a significant trend towards increasing BMI with time since injury (early median BMI 23.6, delayed median BMI 25.4, late median BMI 27.8, ( p = 0.004)).
showed a trendp = 0.004
In addition, pairwise comparisons showed a trend toward lower KIF3A transcript levels (fold change = − 1.45; p = 0.004) in the femoral head of ONFH patients compared to the intertrochanteric region.
Patients without diabetes showed an increasing trend with age in plaque rupture ( P =0.004) and lipid‐rich plaque ( P =0.018), whereas patients with diabetes had a high prevalence of these vulnerable features at an early age that remained high across age groups.
To investigate the predicted intervention effects, planned comparisons showed that scores for children did not increase significantly between the pre-and post-intervention {dog [ t (6) = −1.837, p = 0.116, d = 0.69], relaxation [ t (7) = −4.080, p = 0.005, d = 1.44], control [ t (10) = −1.314, p = 0.218, d = 0.39] with the relaxation group just missing significance (Bonferroni-adjusted significance level: p = 0.004)}.
However, in the subset of tumours otherwise similar to the American Thyroid Association (ATA) guidelines low-risk category, WHO TC-PTC demonstrated a highly significant reduction in DFS ( p = 0.004).