Excerpts

In univariate survival analysis, a highly significant association between low-expressed Beclin 1 and shortened patient survival was evaluated in ovarian carcinoma patients ( P <0.01), and Beclin 1 expression was an independent prognostic factor as evidenced by multivariate analysis ( P = 0.013).

When examined as pair-wise comparisons, there were highly significant ( p < 0.01) differences in IRSD scores between Australian-born and all overseas-born groups, except for Sub-Saharan Africa (males and females), New Zealand (males and females) and the Americas (males only).

Difference between variables was considered as nonsignificant with P value >0.05, significant at P value >0.05, highly significant at P value >0.01, and very highly significant at P value >0.001.

In addition, there was a highly significant relationship between the common peak 6 area, common peak 15 area, and common peak 14 area with Soil Unit Symbol (FAO-90) ( P < 0.01).

Among them, alkyl carbon, aromatic carbon and phenol carbon demonstrated a highly significant positive correlation with the straw decomposition rate ( r = 0.730–0.870, p < 0.01), while alkoxy carbon exhibited a highly significant negative correlation with the decomposition rates of straw, cellulose, hemicellulose, and lignin ( r = 0.785–0.871, p < 0.01).

The effects of DO on plant height, stem thickness and LAI were highly significant (P < 0.01).

The only nominally significant interaction between MASLD and metabolite factors on HFpEF associations was for Factor 31, composed of the metabolites ketoglutarate and phenyl sulfate (p-value = 0.01).

In fact, the correlation between the microarray gene expression intensities and the qPCR normalized C T values was statistically highly significant for genes such as Fgf2 ( r = 0.64, p<0.01) and Adcy1 ( r = 0.73, p<0.01) ( Fig. 10B ).

One-way ANOVA (Table S4) showed highly significant ( P < 0.01) differences in umami, sourness, bitterness, astringency, and kokumi strength across the three groups.

pH Statistical analysis revealed highly significant ( p < 0.01) effect of treatments and storage on the pH of squash at room temperature.

The response surface model was found to be highly significant ( p < 0.01), whereas the lack-of-fit term was not significant ( p > 0.05), indicating that the model provided a strong fit for the experimental data.

In this study, the clinical outcomes significantly improved from an average IOWA score of 53.3 preoperatively to 89.4 at the end of the follow-up period, with a highly significant P value ( P < 0.01).

Results Composition and abundance of insects Carcass mass had a highly significant effect on the number of adult or larval taxa in both major carrion insect orders (adult Diptera, F 3,14 = 20.5, P < 0.01; larval Diptera, F 3,14 = 5.3, P = 0.01; adult Coleoptera, F 3,14 = 14.5, P < 0.01; larval Coleoptera, F 3,14 = 9.7, P < 0.01), with higher number of taxa on larger carcasses (Fig. 1 ).

The CPS showed a significant influence on the Barthel Index at discharge (Table 7 : Spearman correlation 0.302; p = 0.041), as well as a very significant influence on the PMS at 6 months and a highly significant influence on the PMS at 12 months (Table 7 : Spearman correlation at 6 months 0.477; p = 0.01; Spearman correlation at 12 months 0.67; p = < 0.001).

Although the 5-HT precursor TRP showed a trend for negative associations with GABA in all cohorts, this was only statistically significant for the diarrhea group ( p = 0.01). 4.

The coefficients for all of these sources and factors were highly significant ( p < 0.01), indicating that each of the sources, land-to-water factors, and instream/reservoir factors are important in describing the distribution in measured loads.

However, at 22 days post-BrdU the difference between the points of these same curves is highly significant (p <0.01).

In temporal lobe epilepsy patients, resection of the TEDIE source was not a significant predictor of surgical outcome ( n = 21, p = 0.48), while in extratemporal lobe epilepsy it was highly significant ( n = 25, p = 0.01).

Since the 1950s, the δ 15 N Phe values in harp seal teeth from the Barents Sea showed a clear trend of −0.36 ± 0.01 ‰ decade −1 (linear model: p < .01, R 2 = 43.1%, F = 54.8, n = 72, Data S1 , Figure S2 and Table S1), declining from 11.7 ± 1.0 ‰ in 1951–1952 to 10.0 ± 0.2 ‰ in 2011–2012 (Figure 1c ). 3.2 Simulated trends At the Barents Sea Opening (20°E between Norway and Svalbard), our model predicted that the average δ 15 N NO3 values of inflowing Atlantic Water (potential temperature >2°C; salinity >34.5 psu) decreased by −0.08 ± 0.00 ‰ decade −1 from 1970 to 2019 (Figure 2a ).

The PI values between the groups also showed highly significant improvement only in Group IIA, wherein the PI values decreased from baseline (0.6667) to 12 weeks (0.3333) (p < 0.01) (Table 1 ).

For smokers (CC), all dose–response relationships were found to be highly significant ( p < 0.01) with Spearman correlation coefficients in the range of 0.86–0.95.

However, the two combinations, NP + P and NP + P + L of SG10, caused a highly significant increase in FLuc activity compared with the native LaSota strain ( p < 0.01) ( Figure 6A ).

Highly significant negative correlations were found between respiratory frequency and tidal volume for the 400 ( r = −0.92, p < 0.01) and 5000 m r = −0.88, p < 0.01) but not for the 800 m ( r = −0.63; p > 0.05) trial.

In the physical health domain, the scores were 12.4 ± 2.3, 12.2 ± 2.7, 10.6 ± 2.5, and 9.0 ± 3.2 points in the 10–19 y, 20–29 y, 30–39 y, and ≥ 40 y groups, respectively, showing a decreasing trend in physical health domain scores according to increased age (p < 0.01).

Comparing the effects of TG across all BMI categories, there was a significant trend of increasing effects of TG with increasing BMI (p = 0.01 for trend) ( Fig. 1 ).