Excerpts

Statistical significance was defined as P < .05 (*), and highly significant differences were indicated at P < .01 (**).

Kp showed highly significant positive correlations with fruit fresh weight (r = 0.790, p < 0.01), fruit shape index (FSI; r = 0.758, p < 0.01), grain length (GL; r = 0.860, p < 0.01), and GL/shell thickness (GL/ST; r = 0.760, p < 0.01).

Other subgroups did not reach statistical significance under the corrected threshold of P < 0.01 ( Table 3 ).

For example, in male rats of the 18,000 ppm G3P-01 group, there was a significant ( P < 0.05) reduction in serum cholesterol level, as well as a highly significant ( P < 0.01) reduction in cholesterol level in the 36,000 ppm G3P-01 group in comparison with the control group ( Table 5 ).

Within each strain, there was a significant trend for increased biomass with additional culture passages ( p < 0.01, ANOVA).

For instance, liver function parameters (i.e., AST/ALT, TBIL, DBIL and UBIL) showed an increasing trend with FFA increasing ( P < 0.01); serum GLU elevated in both the FFA-reduced group and the FFA-increased group ( P < 0.01) when compared to the FFA-normal group.

The differences were highly significant in the Z-test (z=2,58, t=−3.42, p=0.01).

Early neurofeedback success correlates with final training success As expected, there was a positive and highly significant correlation between training success in the second and eighth session ( r = 607; p < 0.01; see Figure 1 ) for L2.

Further examination of the data identified a highly significant correlation ( r = 0.86, p < 0.01) between these variables indicating that the greater ankle internal rotation moments are related to the greater ankle dorsiflexion/less plantarflexion.

Data considered significant when ∗ P < 0.05, and highly significant when ∗∗ P < 0.01.

In all arrangements, among-groups ( F CT ) differentiation was highly significant (P<0.01).

However, we observed nominally significant interactions (all P < 0.01) between carbohydrate intake and MTNR1B- rs1387153 for FG with a 0.003 mmol/L higher FG with each additional 1% carbohydrate intake in the presence of the T allele, between sleep duration and CRY2 -rs11605924 for HDL-cholesterol with a 0.010 mmol/L higher HDL-cholesterol with each additional hour of sleep in the presence of the A allele, and between long sleep duration (≥9 h) and MTNR1B -rs1387153 for BMI with a 0.60 kg/m 2 higher BMI with long sleep duration in the presence of the T allele relative to normal sleep duration (≥7 to <9 h).

The expression levels of ACSL5 , APOA4 and ME1 ( Figure 10 ) in F0 chickens with fatty liver were higher than those in chickens without fatty liver ( p < 0.05), but the differences were highly significant in the F1 generation ( p < 0.01).

ANCOVA showed a highly significant difference between groups for the ACE-R total (F = 233.9, p < 0.01), subdomains [orientation/attention (F = 131.2, p < 0.01), memory (F = 390.9, p < 0.01), verbal fluency (F = 103.5, p < 0.01), language (F = 62.7, p < 0.01) and visuospatial (F = 61.0, p < 0.01)] and MMSE (ACE-R) (F = 170.6, p < 0.01).

Separate analyses, using the probability of a foraging trail having loaded ants, showed that the genus-level differences in loaded and unloaded returning foragers per hour were highly significant (χ 2 1 = 7.567, p<0.01), but that the differences in loaded returning workers between species within genera were not significant (χ 2 4 = 1.257, p = 0.87).

An SNP marker in LCYE was detected between two Australian wheat genotypes, and a highly significant ( P < 0.01) association with a QTL on chromosome 3A in two mapping populations showed that LCYE is involved in color differences at a functional level ( Crawford and Francki, 2013 ).

For Syphacia (which lacks chromosome terminal overmerging) 9 out of 17 gene sets differed significantly from genome‐wide expectations (Supporting Information S9 ), the carbohydrate metabolism and cell signalling sets being marginally significant ( p ~ 0.01).

The year differences in mortality rates of the Holstein Friesian heifers were found to be highly significant (P ≤ 0.01).

The content of As in the reducible fraction showed a significant negative correlation with organic matter and alkali-hydrolyzable nitrogen ( p ≤ 0.05), a significant positive correlation with pH ( p ≤ 0.05), and a highly significant negative correlation with total nitrogen ( p ≤ 0.01).

In the HF group (59 patients), PWV demonstrated a positive moderately significant correlation with creatinine ( r = 0.33; p = 0.01), RDW ( r = 0.31; p = 0.02); NT-proBNP ( r = 0.28; p = 0.049), brachial SP ( r = 0.33; p = 0.01), central SP ( r = 0.29; p = 0.02), and a negative moderately significant correlation with eGFR ( r = −0.40; p = 0.002) ( Figure 1 ).

Differences were considered significant at P < 0.05 and highly significant at P ≤ 0.01.

SCF showed a highly significant negative correlation with SALIN ( p < 0.01).

LCM A and B were highly significant for predicting both one-year mortality and LVEF response for both models (p<0.01).

Specifically, if chronic promotion and prevention are computed into a difference score such that positive scores indicate a stronger promotion focus and negative scores indicate a stronger prevention focus, the effect of the manipulation is highly significant among those who are more promotion-focused ( b = 0.45, SE = 0.18, z = 2.52, p = 0.01, 95% CI = [0.101, 0.805]), but not significant among those who are more prevention-focused ( z < 1).

Differences were considered significant at * P < 0.05 and highly significant at ** P < 0.01.