Excerpts

15,16, where loading velocity and absorbed energy showed a positive and highly significant relationship (R2 = 0.69, p < 0.001, N = 34) (Fig. 1 ).

The correlation between flood extents estimated from the images and water gauge measurements was very strong and highly significant (linear regression, P < 0.001, R 2 = 0.9, Fig. 1B ).

As reported in previous studies 17 , 23 , 28 , ADMIXTURE and RFMix individual-level admixture estimates are highly correlated (Spearman’s rho: 0.997 European, 0.986 African, 0.986 Native American, and 0.537 East Asian ancestry, all of them are highly significant: P -value < 0.001) (Supplementary Fig.

The group effect was highly significant, F (2, 219) = 16.84, p < 0.001, BF 10 > 1000 (i.e., strong Bayesian evidence for H 1 ).

The relative mRNA expression levels of the Vg gene showed markedly significant differences between the treatment groups and the control groups collected on the days 9 ( F = 156.06 6; df = 3, 11; P < 0.001), 18 ( F = 131.693; df = 3, 11; P < 0.001), 26 ( F = 257.967; df = 3, 11; P < 0.001) and 32 ( F = 376.706; df = 3, 11; P < 0.001).The Vg mRNA expression levels in insects treated with 60 μg/mL Vg protein were 27-, 51-, 6-, and 2.5-fold higher than those of control groups on days 9, 18, 26, and 32, respectively.

The two-way ANOVA showed that there was a highly significant difference in length-at-age among the three locations ( F = 20.08, df = 222, p < 0.001) (Fig. 4 a).

The overall ANOVA revealed a significant main effect of treatments (F 3,12 = 59.09, P < 0.001) and a significant trend for RPP to reduce during the six weeks (F 21,84 = 5,67, P < 0.001).

Most contrasts between Cold and Slightly Cool were highly significant (p < 0.001), particularly for TCV and TAV.

Specifically, the main effect of RPCE concentration on pollutant removal was highly significant ( p < 0.001 ).

This fall in LOD score was highly significant (empirical p -value < 10 −3 ), and was larger than those obtained with 1215 randomly chosen independent variants (Figure S3B ).

Among the factors, feed rate (A) is highly significant for forming time (F = 55.50, p = 0.001) and also influences WA, TR, Ra, FT, and SB ( p ≤ 0.04), though it is not significant for Pc ( p = 0.10).

Index values and mortality For both species, insecticide and exposure time were highly significant ( p < 0.001), while concentration was marginally significant for T. castaneum ( p = 0.036) and non-significant for T. confusum ( p = 0.161).

4 , the association between SHR and mortality remains highly significant (1.90 (1.65–2.19), P < 0.001).

Thirty SNPs showed significant associations ( p < 0.05) with fire blight susceptibility traits, while two of these SNPs showed highly significant ( p < 0.001) associations across two different years.

Disease activity index (DAI) measurement DAI showed a highly significant increase in the DSS group compared to the control ( p < 0.001).

Additionally, after removing the seasonality component, the Mann-Kendall test showed that there was a significant trend ( P < .001); therefore, we also included the trend effect in the BSTS model.

TCD showed a decreasing trend with the increasing N:P ratio (Fig. 1 c), which had a significant difference among the treatments ( p = 0.001, Table 1 ), while the RCD of C. filispica showed a positive correlation and increased ( r = 0.363, Table 1 ).

This difference is highly significant ( p < 0.001) and does not vary between participants with and without biophysical measurements (Table S2.1 ).

Paired t -tests indicated that, on average, a highly significant decrease could be observed, both for the first warning (mean round 5 = 6.31, SE = 0.37, mean round 6 = 4.78, SE = 0.39, paired t -test: t = 3.66, p < 0.001) and the second warning (mean round 16 = 6.96, SE = 0.34, mean round 17 = 5.14, SE = 0.42, paired t -test: t = 4.83, p < 0.001, see Fig. 1 a).

A highly significant difference among treatment groups ( p < 0.001) was observed (Fig. 4 ).

Spearman rank correlation between beetle tunnel volume and mass loss was highly significant (p < 0.001) with coefficient ρ = 0.49 (Fig. 4 ).

The overall regression model was highly significant according to ANOVA (p < 0.001), and the lack-of-fit test was non-significant (p > 0.05), confirming that the quadratic model adequately described the experimental data.

Differences were considered highly significant at P < 0.001; and significant at P < 0.05.

These were highly significant using Mantel's test ( P < 0.001).

There was also an extremely significant difference (p ≤ 0.001) between Hg. janthinomys and Ae. albopictus (p < 0.0001).