Excerpts

In present study, starvation yielded highly significant ( P < 0.01) decreases in GSH contents of 14 day and 21 day starved O. mykiss fries, indicating lower resistance of starved fries against oxidative stress.

Blood analysis Complete blood analysis report indicated that the effect of PDT by TP (TP-0.4) was highly significant (p ≤ 0.01) on the total lymphocytes count and white blood cells when the results were compared with the control group (TP-0) and other treatment group (T-0.4 for TiO 2 only and P-0.4 for TSPP only).

There was a significant trend in decreasing agreement across increasing Ct groups (p < 0.01).

Correlation matrix given in Table 3 also showed highly significant (p < 0.01) negative correlation of AAC with CT repeat (r = − 0.909).

Among the accessions, highly significant differences (P ≤ 0.01) were found for almost all the traits excluding fifty percent flowering date, seed length, seed width.

Treatment effects were highly significant ( P < 0.01) on all variables except for the significant ( P < 0.05) effects on lip region width and median bulb width.

The improvements over traditional approaches like CNN and Decision Tree-Random Forest (DT-RF) are highly significant ( p < 0.01), while comparisons with more advanced models like transformer-based architectures (BERT, RoBERTa, DeBERTa) and Graph Neural Networks (GNN) also show statistically significant improvements ( p < 0.05).

Pearson correlations revealed highly significant, positive correlations (> 72%, p < 0.01) between the relative abundance of Porphyromonas , Fusobacterium , Bacteroides, and Desulfomicrobium in oral macropod samples (Table 3 ).

Primary terms A and C and interaction terms A 2 and B 2 reached extremely significant levels ( P < 0.01), and interaction item C 2 reached significant levels ( P < 0.01).

Highly significant differences ( P < 0.01) were found in the testosterone concentration in the bulls’ seminal plasma used regularly and irregularly.

Results Effects of different combinations of N, P, and K fertilizers on yield and yield components Differences in the results for each year were not significant; however, the yield in treatments 5 and 14 was significantly ( P < 0.05 ) lower than that in the other treatments, and the yield in treatments 4, 11, 13 and 6–9 was highly significant ( P < 0.01 ) lower than that in the other treatments.

This difference was significant at the highest dose (p < 0.01) and there was also a significant trend of increased bursa-somatic index with increasing dose (post-test for linear trend, p < 0.01).

Average air temperature during incubation had a non-significant negative effect on emergence rate (p = 0.27), while accumulated rainfall during incubation had a highly significant and negative effect on emergence rate (p < 0.01; Table 2 ; Fig.

In group O157, the level of TNF-α showed even highly significant level than group CK (p < 0.01), while showing significantly higher level than group PR39 + O157 (p < 0.05), though there still existed significance between group CK and PR39 + O157 (Supplemental Fig.

When analyzing sensitivity rates by age groups, an overall trend of decreasing sensitivity with increasing age was observed ( p < 0.01).

In contrast, the mutation frequencies of two types of mutation (G = >T, C = >A) manifested a highly significant decrease ( p < 0.01 ), accompanied by an unapparent change of three types of mutation (A = >C, C = >T, G = >A) (p > 0.05) in the REV1 knocked down cells.

The differences between 22 pathways were extremely significant between RA and OA ( P < 0.01; Welch’s t-test, Fig. 3a ).

According to the results of the polynomial regression, these correlations between the crop yield and the soil point value is highly significant at * p < 0.01.

Interactions between covariates in the PH IC model were studied for possible inclusion in the final multivariable model if they were highly significant (p < 0.01).

According to geographic elevation, we divided the all populations into two groups, highland (<500 m) and lowland (>500 m), and performed student’s t-test to determine the level of significance of difference between their transmittance patterns, and it was highly significant (P>0.01).

Highly significant positive correlations ( P < 0.01) were detected between PH and Precipitation ( r = 0.51), PH and AT ( r = 0.65), SD and AT ( r = 0.50), NAGI and Precipitation ( r = 0.72), AIL and AT ( r = 0.69), AIL and ASR ( r = 0.63), RLI and Altitude ( r = 0.57), EL and Precipitation ( r = 0.54), EL and AT ( r = 0.51), EW and Precipitation ( r = 0.66), EW and AT ( r = 0.55), LARRS and AT ( r = 0.53), HR and ASR ( r = 0.60), DW and Precipitation ( r = 0.65), DW and AT ( r = 0.53), Yield and AT ( r = 0.52).

Across 50 genotypes, analysis of variance revealed highly significant variation ( p < 0.01) in each trait.

compressus (Hütton), the simulated values presented highly significant correlations with the measurements (p < 0.01).

Between-group analyses of EMG activity Compared with the matched healthy controls, cLBP patients showed a trend towards higher magnitude of activity in the resting state (t = 2.60, P = 0.01).

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.