“highly significant”

There was a highly significant trend in SMRs with a B(a)P index of exposure for lung cancer ( P < 0.001) and bladder cancer ( P < 0.001).

Results Analysis of variance The combined analysis of variance across environments showed that variances due to genotypes (G), environments (E), and GEI were highly significant ( P < 0.001) for all the traits measured (Table 1 ).

There was a highly significant difference (P < 0.001) in the number of adults and nymphs between the plants treated with biostimulants and the untreated plants ( Table 5 ).

Highly significant correlations were observed between VE and VCO 2 during the incremental test (r = 0.96; P < 0.001) (Fig. 3 A) and the constant load test (r = 0.86; P < 0.001) (Fig. 3 B) in the SARS-CoV-2 patients.

Based on the order of priority: biophysical drivers such as water stress, weeds, insect pest, and disease, over flooding, and low soil fertility was highly significant (P ≤ 0.001) among four yield groups in Table 4 .

Results The analysis revealed high sampling adequacy with a KMO value of 0.957 and a highly significant anti-image correlation ( p < 0.001).

The linear regression between water and logger temperature (20 points) was highly significant ( R 2 =0.99, P =0.001).

VAS scores and ODI scores demonstrated identical recovery patterns between groups, with no significant between-group differences ( p > 0.05) but highly significant within-group improvements over time ( p < 0.001).

As demonstrated in Table 2 , statistical assessment showed that there were highly significant differences in T2 relaxation time among rats with different histopathological grades of liver iron ( P < 0 . 001 ; Mann–Whitney U).

Lower HDL levels were detected in the patient group, and a highly significant difference was observed between the OSAS group and control group in terms of triglyceride, waist circumference, and total cholesterol values (p<0.001).

In contrast, the difference to t2r surround regions is highly significant (p < 0.001, t-test).

The difference between the two groups was highly significant ( p < 0.001).

Negative correlations between temperature and DO were highly significant (p < 0.001), and highly significant positive correlations was found between NH 4 + and DIN (p < 0.001, Fig. 7 ).

(Female, age 63) Comparing baseline to year 3, highly significant physical impacts included greater effort to do usual activities (36% vs. 100%, p < 0.001) and greater physical discomfort (34% at year 1 increasing to 94% by year 3, p < 0.001), most commonly affecting walking and exercise, as well as increased trouble with gripping/opening (28% vs 66%, p < 0.01), standing (16% vs 66%, p < 0.001), getting up (16% vs 59%, p < 0.001), climbing stairs (16% vs 56%, p < 0.01), tripping/falling (18.7% vs. 46.9%, p < 0.01), eating/drinking (59% vs. 81%, p < 0.05), and dressing (41% vs. 72%, p < 0.01).

Regarding antioxidant activities (ABTS + and DPPH), variables X 1 and X 2 2 showed negative effects, while variable X 2 had highly significant positive effects ( p < 0.001).

These findings are represented in Figure 5 , which highlights a highly significant difference with a p -value of <0.001 between the ESBL-producing and non-producing isolates.

Comparative statistical analysis of number and type of mutations in current and previous data The Poisson regression model showed a highly significant (p<0.001) relative increase of the TP53 mutation prevalence in p53 hotspot codons from the current clinical series, compared with IARC database results ( Table 3 ).

First and foremost, the Factor V Leiden G1691A homozygous mutation stood out as a highly significant risk factor for multiple miscarriage, with an OR of 3.04 ( p -value < 0.001).

Due to missing values of patients without a partner, this variable was adjusted by comparing its regression with the total model, which was highly significant (HR 2.66, 95% CI 2.14–3.31, p = 0.001).

The decrease from 1995 to 2019 was highly significant for 1-OH-Pyr (p < 0.001) and 1-Nap (p < 0.001).

Exploratory factor analysis Bartlett’s test was highly significant ( p < .001).

Epichloë bromicola enhances osmotic adjustment capacity under salt stress Highly significant effects were found for E. bromicola and salt on proline ( F = 44.45, p < 0.001, F = 26.81, p < 0.001), soluble sugar ( F = 37.46, p < 0.001, F = 65.93, p < 0.001), and soluble protein contents ( F = 147.32, p < 0.001, F = 69.86, p < 0.001).

An omnibus ANOVA for analysing the data of all genes simultaneously including experiments at different photo/thermo-periods resulted in a highly significant ‘allele’ factor (short v long period, F 1,813 = 28.46, p<0.001) but not ‘photoperiod’ (F 1,813 = 0.57, p = 0.45).

Structural equation modeling further revealed that tree mycorrhizal dominance and microbial biomass were the primary factors alleviating microbial nutrient limitation: microbial biomass and mycorrhizal dominance showed significant negative effects on vector length (path coefficients −0.71 and 0.33, p < 0.01), whereas mycorrhizal dominance exerted a highly significant positive effect on vector angle (path coefficient 0.70, p < 0.001).

ANOVA revealed highly significant effects ( P <0.001) of genotype, environment, and their interaction on 100-seed weight ( Supplementary Table S3 ), suggesting that the presence/absence of the ‘ QTL-hotspot ’ region differentiated between genotypes with high and low seed weight.