Excerpts

ANOVA results for drought and heat tolerance indices in CS1 and CS2 indicated highly significant differences ( p < 0.01) among genotypes across all indices.

Interestingly, precipitation in autumn among almost all stations shows a decreasing trend with a maximum decreased rate (−11.66 mm/10 yr, P < 0.01) in Kyzyl-Ozek although precipitation insignificantly decreases in other stations.

There was a highly significant difference ( P < 0.01) between them, and the explanation fluctuated at approximately 40%, indicating that heterozygous SNP-29 was a dominant genotype and a promising marker for sea urchin molecular breeding.

A Two-fold change expression cut-off for ratio experiments was applied with anti-correlation of color-swapped ratio profiles, depicting the microarray analysis as highly significant ( P value < 0.01), robust, and reproducible.

After removing one study from the analysis, the effect size for the thalamus became highly significant (g = −0.23, 95% CI = −0.38, −0.07, k = 8, Z = −2.67, p < 0.01, Q = 9.59, df = 7, p = 0.30, I 2 = 12.5) 20 .

LOD scores exceeding 4.9 and 4.2 were considered as highly significant (p < 0.01) and significant (p < 0.05), respectively.

The significance level was p < 0.05, and the extremely significant level was p < 0.01.

We observed a large number of highly significant (P < 0.01) positive correlations in the allocentric-trained groups, and in particular in allocentric animals tested from the novel starting position.

Highly significant correlations were observed between AA/DHA (the independent variable) and the radiographic and histological endpoints NAS and US (p ≤ 0.01; Fig. 3A ).

Un-labelled pairwise comparisons failed to reach significance of P = 0.01 and were considered to be insignificant.

A glaucomatous VF defect was defined as (1) glaucoma hemifield test results outside normal limits; (2) more than three significant (P < 0.05) and one highly significant (P < 0.01) non-edge contiguous points on the same side of the horizontal meridian as in the pattern deviation plot; or (3) a pattern standard deviation (PSD) < 5% in an otherwise normal VF.

NSe treated groups showed highly significant elevation ( p ≤ 0.01) in urea and creatinine levels in the serum of fish fed on a 10 mg NSe/kg diet.

The selected independent variables were Z 3 , Z 5 , and Z 6 (P < 0.05), of which Z 3 and Z 6 reached an extremely significant level (P < 0.01).

2 ). SAM/SRMS muscle strength indices The generalized SAM/SRMS form QeQc indices showed marked increase in the ACLD limb at 30°–60° knee angle, extremely significant for SRMS-QeQc at 40° and 50°( P < 0.01, d ≥ 0.892).

The adequate precision was 9.725, above the desirable minimum of 4, and the model’s F value of 12.11 was highly significant ( p ≤ 0.01).

The spectra showed a highly significant peak between 13–18 Hz (p < 0.01) and a second peak between 1–2 Hz which, however, did not reach statistical significance (p = 0.11; Fig. 2D ).

However, a significant trend was noted where the proportion of individuals with high LDL-PRS increased with rising LDL-indicating a polygenic component at play ( p = 0.01) (Supplementary Fig. 2).

This difference, using Mann-Whitney-Wilcoxon, can be translated in a highly significant p-value of <0.01.

To address the issue of this bias, we performed a sensitivity analysis as described previously and found that even after adjustment for cotinine and urinary creatinine, the association between alcohol and blood pressure is still nominally significant in 2009–2010 (p = 0.01).

Results were considered significant (* or # ) at p < 0.05 and highly significant (** or # # ) at p < 0.01.

Regression analysis of the ranks of temperature (most anomalous cold spell = lowest rank; most anomalous heatwave = highest rank) and biotic anomalies revealed a highly significant positive correlation between the occurrence of temperature anomalies and biotic anomalies (Fig. 5 a, F(df 1,6) = 9.68, p < 0.01), with an adjusted r 2 value of 0.55.

Significant correlations ( P < 0.05) are indicated by *, and extremely significant correlations ( P < 0.01) are indicated by **.

Variables that demonstrated statistical significance ( P < 0.05) in univariate analysis or those approaching significance ( P < 0.01) were selected for inclusion in multivariate regression analysis.

The results revealed that the mean differences for FaP1A1, FaP2E11 and FaP2D12 were highly significant ( p < 0.01) while FaP2E2 and FaP2E9 was significant ( p < 0.05) ( Table 4 ).

5 and Tetep were higher than the survival rate on IR50, with a highly significant difference (P < 0.01) ( Table 1 ).