“highly significant”

This first stage of analysis also indicated that the best explanatory variable for location was study area versus whether the area was north or south of I-80, although both were highly significant (p = 0.001; Table H in S3 Appendix ).

By using linear mixed model analyses testing for genetic variation among accessions, and by estimating the impact of the TM treatment on biomass accumulation compared to the respective mock control, we detected a highly significant accession-by-treatment interaction ( P < 0.001), highlighting natural variation in the accumulation of biomass of the accessions in response to chronic ER stress.

Variance components analysis of the 12 agronomic traits by likelihood ratio test (LRT) The 13 green gram genotypes had highly significant effects ( p < 0.001 and p < 0.01) for most of the agronomic traits such as DFF, PH, DI, NSB, NCP, NPC, PL, SYP and SW, and GEI indicated a more significant effect for DFF, PH, NCP, NPP, PL, NSP, SYP and SW ( Table 4 ).

For deep invasion, the AUC was 0.649 for T2WI, 0.906 for T2WI + DWI, and 0.906 for T2WI + DCE-MRI (Tables 4 , 5 ) The chi-square test revealed a highly significant association between the MRI findings and the histopathological stage for T2WI (χ2 = 28.666, p = 0.001), T2WI + DWI (χ2 = 66.696, p = 0.0005), and T2WI + DCE-MRI (χ2 = 78.186, p = 0.0005) (Tables 6 - 8 ).

One effect from each study is highly significant ( p = .001) and the other two effects are closer to the p < .05 criterion: p = .025 and p = .049.

However, when analyzed on cluster level, principal component analysis (PCA) revealed highly significant segregation of the immune profiles before and after hookworm infection (Fig. 2B , PERMANOVA P < 0.001).

Results of the ANOVA test indicated highly significant variations (F = 12.45, p = 0.001) between categories of IUCN.

However, three variables were found to have highly significant correlations (p < 0.001) with TCL at every scale and region assessed—FDI (positively correlated at each scale/region), percent of rural population (negatively correlated at each scale/region with a slightly weaker correlation in Africa [p < 0.01]), and GDP per capita (positively correlated across scales/regions except for Africa, which was negatively correlated at the p < 0.01 level) (Supplementary Figs.

The association between mother/mother’s substitute and malnutrition was statistically highly significant ( P < 0.001).

Group differences in neurocognitive function The MANOVA on group differences in neurocognitive function was highly significant for Group (F(16,176) = 3.78, p < 0.001, η p 2 = 0.256).

However, the main effect of image category was highly significant ( F [1, 76] = 158.38, p < 0.001, η 2 = 0.67), and the interaction of age group and image category was also significant ( F [3, 76] = 3.19, p = 0.028, η 2 = 0.11).

Significance levels were denoted as follows: P < 0.05 indicates significant differences, P < 0.01 denotes highly significant differences, while P < 0.001 signifies extremely significant differences, and P > 0.05 suggests a lack of significant differences.

Conversely, the C i under P treatment showed highly significant differences ( p < 0.001).

Specifically, a highly significant interaction was observed between irrational beliefs and health anxiety scores with family history of diabetes on 10-year T2DM risk ( p < 0.001).

It was observed that 113 (50%) suspected stroke victims who met the activation criteria for the Stroke Code Protocol did not have the protocol activated, which had a highly significant influence ( p < 0.001) on door-to-CT time.

Cytokine analysis revealed highly significant treatment effects for all parameters tested (IL-6, TNF-α, IFN-γ, IL-1β, IL-10) for both dosages of Poly (I:C)(10 mg: IL-6) (F (1,33) = 88.359, p < 0.001), TNF-α (F (1,33) = 86.434, p < 0.001), IFN-γ (F (1,33) = 91.698, p < 0.001), IL-1β (F (1,33) = 57.683, p < 0.001), IL-10 (F (1,33) = 54.602, p < 0.001); 20 mg: IL-6 (F (1,36) = 63.535, p < 0.001), TNF-α (F (1,36) = 51.799, p < 0.001), IFN-γ (F (1,36) = 35.905, p < 0.001), IL-1β (F (1,36) = 33,197, p < 0.001), IL-10 (F (1,36) = 93.540, p < 0.001).

This non-linear relationship was confirmed by a Generalized Additive Model, which demonstrated that the smooth term for glucose was highly significant (p < 0.001), indicating a complex, non-linear interaction between these biomarkers.

Surprisingly, MCV NESTROFT showed a strong 52.9 odds ratio and a highly significant association ( P value < 0.001).

The linear trend was highly significant, t = 5.7, p < 0.001 and the effect of legalization also had a significant additional impact of the number online calls, t = 2.2, p < 0.05.

Maturation is associated with rising depression scores for girls ( p < 0.001) but slightly (non-significantly) declining scores for boys ( p = 0.149), a highly significant difference between sexes ( p < 0.001).

This relationship was highly significant (z = 4.64, p < 0.001), with a confidence interval from 0.29 to 0.73.

The LW and ADG of broilers showed a highly significant difference ( p < 0.001) among all the meals at 10, 24, and 35 d of age.

The mean (±standard deviation SD]) COX-2 expression values were 26.25 (SD, ±24.46) and 125.6 (SD, ±58.34) for non-FISS and FISS, respectively, corresponding to a highly significant ( p = 0.001) difference between them ( Figure 2 ). 3.4.

The highly significant metabolites ( p < 0.001) in BGEL as compared to BGE were kaempferol, aucubin, eucarvone, isoartocarpesin, tectorigenin, dihydroxyflavone, diferuloylputrescine, methylflavanone, inuline, benzopyran, and indoleacetic acid ( Figure 7 B).

Multivariable models were constructed using explanatory variables chosen a priori based on clinical importance, and those that were observed to be highly significant in univariable models ( P < .001).