The results showed that the estimated variances of genotype, environment, and genotype-by-environment interaction were all highly significant ( p < 0.01).
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Statistical differences were identified between the groups, with significant results ( p < 0.05) and highly significant results ( p < 0.01 and p < 0.001).
With the increase of cumAIP level, SBP, DBP, BMI, FBG, TG, hs-CRP, resting heart rate, proportion of males, proportion of smoking, proportion of drinking, proportion of hypertension, proportion of taking antihypertensive drugs and proportion of taking lipid-lowering drugs in the four groups all showed an increasing trend, while HDL-C and eGFR showed a decreasing trend (all P < 0.01), as shown in Table 1 .
Regression 1 was quite significant ( F = 60.61, p < 0.01, R 2 = 0.045).
Differences were considered statistically significant at P <0.05, and extremely significant at P <0.01.
Highly significant effects were detected for leaf stage (F = 77.27), conidial density (F = 20.31), and plant material (F = 71.67), all at p < 0.01.
According to Table 5 , the fit of the fertilizer discharge model Y 1 is highly significant (P < 0.01).
From this table, we see that the interaction treatment * year is not significant ( p -value > 0.547), but highly significant are the main effects for treatment and year ( p -value < 0.01).
Lactoferrin could shorten time to reach full enteral feeding (weighted mean difference [WMD] = −2.11, 95% CI −3.12 to −1.10; P < .01) and showed a decreasing trend of duration of hospitalization (WMD = −1.69, 95% CI −6.87 to 3.50; P < .01; I = 95%).
Most importantly, the snack × block interaction was quite significant ( F (4, 28)=4.70, P <0.01).
The sensitivity analysis results revealed a significant trend across UACR tertiles and ACM among participants aged <80 and with no CVD history, respectively ( p < 0.01 for trend). 3.3 ROC analysis of UACR predictive value for ACM in DM The ROC analysis results demonstrated the UACR prognostic value for ACM.
Differences were considered significant if P <0.05, and highly significant if P <0.01.
The results indicated that the model used to fit the response variable was highly significant ( p < 0.01) and adequate to represent the relationships between the response and independent variables.
The direct feedback intervention method resulted in highly significant (p ≤ 0.01) improvement in the percent of sign-outs documenting five of the checklist items (pre, post): mental status (67.0, 80.0 %), decisionality (51.1, 67.5 %), degree of sick (59.1, 68.5 %), absence of confusing or conflicting information (90.9, 95.3 %), and absence of vague language (61.2, 68.1 %).
The t -test results ( Figure 2 ) revealed significant differences in the Simpson and Chao1 indices between S1 and S2 ( p < 0.05) and a highly significant difference in the Shannon index ( p < 0.01).
The change in DSi distribution is highly significant (p<0.01, using resampling and bootstrap percentile confidence intervals) and consistent with a critical role of α2-containing GABA A Rs in mediating DSCG directional tuning.
In this case, the difference was highly significant ( P <0.01).
However, correlation analysis revealed only a weakly significant association between KL grade and ESR (ρ = 0.241, p = 0.010), while other markers showed no significant correlation.
Among the variables, peptide/calcium mass ratio, pH, and temperature all had extremely significant effects on the chelation rate ( p < 0.01), while the effect of chelation time was not significant ( p > 0.05).
AA level, during the two weeks of therapy with a 10 mg dosage of astaxanthin, revealed a 24 % drop in average levels (from 11.31±0.35 to 8.52±0.72 %), which were statistically highly significant (p-value < 0.01) (Table 2 (Tab. 2) ).
Highly significant positive correlations were observed between C a and C i , as well as between C a , C i and carbon metabolism-related DEGs ( p <0.01) ( Figure 5B (a, b)).
Additionally, a positive and moderately significant relationship was found between LCL and TL ( r = 0.58, p < 0.01).
Lipids within the same class exhibited highly significant positive correlations ( P < 0.01).
Correlation Analysis Between Saponin Contents in Plants and Phosphorus in Rhizosphere Soils As presented in Table 5 , the concentration of polyphyllin I in plants exhibited a highly significant positive correlation with the contents of Ca 10 -P and O-P in rhizosphere soils ( p < 0.01).
Meanwhile a highly significant and negative relationship between the Kc values and the contents of 1.0–0.25 mm and 0.25–0.05 mm were found under the air-dried state condition ( p < 0.01, R 2 = 0. 3754 & 0.3500, respectively).