“highly significant”

Intragroup comparisons revealed a significant decrease in group A3 ( p < 0.05) and a highly significant decrease in group B4 ( p < 0.01) compared to the other experimental groups.

All the proinflammatory cytokines were significantly associated with ageing among controls, with IL-1 β and TNF- α showing a highly significant association ( p < 0.01).

Dramatic increase of LTB4 in JXwn06-infected pigs was detected with highly significant difference compared to those of control group on day 5 PI to moribund ( p < 0.01), and was significantly different from those of HB-1/3.9-infected group ( p < 0.05).

Highly significant correlations (**: P ≤ 0.01) were found between total plant height and leaf area (R = 0.95), dry grain yield and leaf area (R = 90), leaf area and the chlorophyll content (R = 0.70).

Similarly, Figure 5 summarises 74% and 78% of the total constrained inertia of the final selected models of the CCA analyses, with all three retained environmental variables showing highly significant associations with community composition in Mersey (all P =0.01) and Thames (all P =0.005), respectively.

The ABCG2 -g.94683A > G locus had a highly significant effect ( p < 0.01) on the urea nitrogen content in milk, which was significantly higher in the milk of AA-type cows than in AG and GG types.

The differences in viral replication between group A (4.99 ± 0.24 log geq/ml after one week and 6.98 ± 0.29 log geq/ml after two weeks) and group B (< 3.70 log geq/ml after one week and 3.87 ± 0.09 log geq/ml after two weeks) and between group A and group C (< 3.70 log geq/ml after one week and < 3.70 log geq/ml after two weeks) were highly significant ( p < 0.01).

Exogenous application of Put significantly increased g s values in the absence of stress in salt-sensitive IKP and in the presence of the highest NaCl dose in salt-resistant Pokkali, confirming a highly significant interaction among salinity and cultivars ( P <0.01).

Statistical differences were considered highly significant at p < 0.01, significant at p < 0.05, and tendencies were noted if 0.05 < p ≤ 0.1. 3.

The RT-qPCR results of six genes in both groups were consistent with the sequencing results, and the difference was highly significant ( P < 0.01) compared with the control group.

The difference was highly significant ( P = 0.01).

Test was considered significant (S) if P < 0.05, highly significant (HS) if P < 0.01 and non significant (NS) if P > 0.05. 7 RESULTS A total of 200 eyes were enrolled in this study (156 patients); 100 in the conventional US group and 100 in the torsional US group according to LOCS II classification.

The resulting differences were stated as significant if the p -values were less than 0.05 (* p ≤ 0.05) or as highly significant for p -values less than 0.01 (** p ≤ 0.01) or less than 0.001 (*** p ≤ 0.001).

Significant findings (*) with a p -value <0.05 and highly significant findings (**) with a p -value <0.01 or (***) with a p -value <0.001.

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

Further analysis identified 75 V-J pairs with differential abundance (p<0.05, uncorrected), including 16 highly significant pairs (p<0.01), though these exploratory findings remain uncorrected for multiple testing due to sample size limitations and require validation in larger cohorts ( Figure 5A ).

To allow us to analyse data for all 20 study provenances, we used the highly significant relationship between F ST and geographic distance for the 17 provenances (Mantel test in the adegenet r package, P = 0.01 with 999 iterations) to estimate a pseudo- F ST for the full set of 20 provenances, referred to hereafter as GeoF ST (full details are given in Data S2 ).

The difference between the groups was statistically highly significant ( p < 0.01) (Fig. 2 ).

However, at days 14 and 21, such differences became highly significant ( P <0.01) as the majority of vaccinated birds (16/18 and 15/18, at 14 and 21 days, respectively) had no detectable serum antibody as compared to only 3/10 and 1/10 unvaccinated chickens at the respective days.

The experimental data were fitted to a quadratic polynomial model, yielding the following regression equation: Y = 72.72 + 5.65 A − 4.07 B − 5.9 C + 2.62 AB + 0.5250 AC + 0.325 BC − 6.55 A 2 − 11.1 B 2 − 5.45 C 2 As shown in the ANOVA results (Table S4), the model is highly significant ( P < 0.01), while the lack-of-fit term is non-significant ( P > 0.05), indicating that the model accurately predicts the experimental data.

According to the analysis variance ( Table 6 ), the effect of factor A on hydrolytic activity was highly significant ( p < 0.01), that of factor C was significant ( p < 0.05), and that of factor B was not significant ( p > 0.05).

The difference was highly significant ( P < 0.01), which indicated that the EPC cell adhesion ability of the mutant ∆ dotU decreased significantly.

p < 0.05 was considered to be significant (and p < 0.01 highly significant).

The season of calving was also found to have a highly significant effect on 305-dMY ( P < 0.01), and a significant effect on LP ( P < 0.05), although no significant effect was observed on CI and DO.

Soil organic carbon content The influence of Y and T on the soil organic carbon content was highly significant (P<0.01; Figure 4 ).