“highly significant”

The multivariate analysis showed that both seed priming treatment and growth stage had highly significant multivariate effects on phytochemical accumulation (p< 0.001), with a significant interaction between these factors ( Table 1 ).

An evaluation was done for PB Treg cells by pooling newly diagnosed, relapsed and patients in remission together as a MM cohort; this pooled cohort did not show statistical significance against MGUS and SMM, while it was highly significant against HVs (P<0.001).

In the first validation cohort, RCS analysis identified a highly significant association (overall P < 0.001) with a significant nonlinear trend ( P for nonlinearity = 0.011), whereas a linear association was observed again in the second validation cohort (overall P < 0.001, P for nonlinearity = 0.068).

field temperature were highly significant (P<0.001) and with average R 2 above 0.95) and actual warming was within ±5% of the prescribed value [35] .

RT The factor Congruence N was highly significant, F (1, 39) = 146.22, p < 0.001, η p 2 = 0.79, with smaller RTs in congruent (677 ms) than in incongruent (731 ms) trials.

In contrast, following Triton X-100-mediated membrane disruption, S100A8/A9 levels in AP-Exo were markedly elevated compared with Ctrl-Exo, achieving a highly significant difference ( P < .001).

Changes in Outcome Measures Over Time Based on Tables 2 and 3 , repeated‐measures ANOVA revealed highly significant time effects across all primary and secondary outcomes (all p < 0.001), with large effect sizes ( ηp 2 = 0.362–0.883), indicating substantial improvements over the 8‐week intervention period in both groups.

The difference between pre-event and non-immunogenic drug levels was highly significant (p<0.001), and this held for each drug individually (both p<0.001) ( figure 3 ).

The model was determined as highly significant ( F = 272.81, p < 0.001) or non-significant based on lack of fit ( F = 0.9799, P = 0.5577 > 0.05).

Highly significant ( p ≤ 0.001) differences were found among all nutrigenetic traits of polyvoltine silkworm strains in the experimental groups.

3 a). NKX2-3 expression Analysis of the autophagy-related marker NKX2-3 demonstrated a highly significant increase in expression levels in Group II relative to Group I (p < 0.001), reflecting a notable modulation of autophagy pathways following sExosome treatment (Table 2 , Fig. 3 b).

PERMANOVA revealed a highly significant difference in the composition of the four major food types between the BEH and MIC estimates (pseudo-F1,22 = 42.09, P = 0.001), with method explaining 51.3% of total variance in dietary composition (R2 = 0.513).

Highly significant differences ( P < 0.001) were observed between samples collected in 2008 and samples from all the sampling dates of 2009 with values ranging from 0.103 to 0.180 ( Table 3 ).

Critically, the cross-over interaction between the Target Type and the Prime Type was highly significant, F 1 (2, 30) = 14.17, MS e = 44.37, p <.001; F 2 (2, 56) = 12.97, MS e = 63.49, p <.001.

The three distinct groups of samples observed in the 2D PCA scatter plot were found to be highly significant in the discriminant analysis (Wilks’ lambda = 0.003; F 6,787 = 4628.199; P <0.001).

Highly significant ( p ≤ 0.001) differences were found among all nutrigenetic traits of polyvoltine silkworm strains in the experimental groups.

A Jonckheere–Terpstra test for ordered alternatives confirmed a highly significant monotonic increase across the four pre-specified ordered groups (standardized J–T statistic z = 7.896, p < 0.001).

The results showed that the dilacerated or pointed roots, maxillary premolar extraction cases, and treatment duration were highly significant factors for root resorption (p<0.001).

Conversely, after 48 hours, a highly significant increase in absorbance is detected for Asclepios in comparison with the clones NCSC2 to 6 (p<0,001; repeated measures ANOVA, followed by Tuckey post-test), reflecting an elevated number of cells in the wells and a higher proliferation rate in an interval of 48 hours. 7.

The KMO value of 0.582 exceeded the minimum acceptable threshold, whereas Bartlett test of sphericity was highly significant (χ 2 = 917.76; P < 0.001), confirming adequate intercorrelations among variables.

The overall differences among the three methods were highly significant ( P < 0.001).

Pooled over groups, the heterogeneity was very highly significant (P < 0.001) in both sexes.

Severe fire had a highly significant (P<0.001) effect on tree death ( Supplementary Information S2 ).

Nonparametric Tukey’s multiple comparison between DNA concentrations of Day 1 and Day 3 was highly significant (p<0.001) but those between other time points, i.e. between Day 3 and Day 5, Day 5 and Day 7, Day 7 and Day 9 were not significant (p>0.05).

The finding that individual HDI components modelled continuously were not significantly associated with mortality in unadjusted analyses, while fully adjusted continuous HDI was highly significant (OR 0.33; P < 0.001) and restricted cubic splines confirmed a significant overall association (χ2 = 24.7; P < 0.001), warrants careful interpretation.