“highly significant”

Species identity effects on stand productivity and biomass partitioning Comparing the pot-level productivity of the 16 (moist treatment) or 11 species combinations (dry treatment) with Two-way ANOVA revealed highly significant effects of the species combination [F (15, 169) = 3.75, p < 0.001] and of the moisture treatment [ F (1, 183) = 38.28, p < 0.001] on RGR total .

All the differences between men and women were highly significant ( P < 0.001) even when the data were related to body mass ( P max⁡ · BM −1 , F 0 · BM −1 , and F 0 · BM −0.67 ).

Compared with the “Very Low” category, the risk of death increased progressively across other categories, being not significant in the ‘Low’ (RR 1.37; 95% CI 0.99–1.89, p = 0.14), but significant in the “Intermediate” (RR 1.66; 95% CI 1.23–2.23, p = 0.018) and highly significant in the “High” (RR 2.24; 95% CI 1.69–2.97, p < 0.001) after Bonferroni adjustment.

The most comprehensive model, incorporating all three factors (age, WBC, and D-dimer), also yielded a highly significant AUC area of 0.723 ( p < 0.001).

After concluding the program, there was a highly significant decrease in the Hwabyung symptom scale between baseline and week 9 ( p = 0.001).

Interaction term between number of repeated PZQ treatments and chemical environment exposure A highly significant interaction effect ( p < 0.001) was found between repeated PZQ treatments and the use of toxic chemicals.

Similarly, GI was also lowest in Group I (0.47 ± 0.24) compared to Group II (1.64 ± 0.30) and Group III (2.07 ± 0.32), with the differences being highly significant (p < 0.001, Table 4 ).

The two-way ANOVA between sex and microglia state changes showed a highly significant but medium-effect interaction ( p < 0.001, Cohen’s d = 0.59).

The t-value for the comparison between the two groups was 5.53, indicating a highly significant difference between the groups (means of 14.6 (SD=117.2) vs. 33.5 (SD = 235.6), p<0.001).

Furthermore, we observed a highly significant correlation between the level of GATA6 and Venus protein levels in PrE cells at both E3.5 ( r = 0.6581, p < 0.001) and E4.5 ( r = 0.3257, p < 0.001; Fig. 2d ).

For β-tubulin III (neuronal marker), the construct effect was highly significant Construct: F (1,8) =1028.56, p <0.001; partial η 2 =0.99 (95% CI [0.99, 1.00]); Dose: F (1,8) =192.48, p <0.001; partial η 2 =0.96 (95% CI [0.95, 0.99]); Construct×Dose: F (1,8) =17.00, p =0.003; partial η 2 =0.68 (95% CI [0.55, 0.93]); Simple-effects: Low g=12.88 (95% CI [11.24, 39.42]), p <0.001; High g=16.76 (95% CI [15.21, 374.61]), p <0.001.

In contrast, fasting glucose and HbA1c levels demonstrated highly significant differences between groups ( p < 0.001) with the diabetic group exhibited the highest mean fasting glucose (150.3 ± 18.6 mg/dL) and HbA1c levels (8.1 ± 1.2%), followed by the prediabetic group (110.8 ± 7.5 mg/dL; 5.9 ± 0.2%) and the non-diabetic group (90.5 ± 6.2 mg/dL; 5.4 ± 0.2%).

Using a combined probability Fisher test in a meta-analysis over all data sets, we found a highly significant interaction between chemotherapy type received and HOTAIR expression in dictating response to treatment ( P < 0.001; Table 2 ), which was retained in multivariate analysis ( P = 0.008; Table 2 ).

Between-subjects contrasts indicated a non-significant group effect (F (1,23) = 2.132, P = 0.152), a highly significant gender effect (F (1,23) = 53.257, P < 0.001), and a non-significant group × gender interaction (F (1,23) = 1.086, P = 0.304).

A nonlinear relationship between NLR and inpatient gout recurrence was identified ( Figures 2E, F ), with P values for nonlinearity being highly significant ( P < 0.001).

Modules that displayed a highly significant degree of overlap (p < 0.001) were considered to be ‘consensus’ modules.

There was a highly significant positive correlation between task cycle and performance (ρ = 0.924, p < 0.001) ( S2 Dataset ).

The chi-square test demonstrated a highly significant association (p=0.001), and logistic regression analysis revealed an adjusted odds ratio (aOR) of 5.03.

When the colors were treated as a single AVD category, the trend remained highly significant (χ 2 = 383.41, df = 24, P < 0.001).

T max effect was highly significant for both outcome categories, with both p < 0.001.

Additionally, while there were non-significant between-group differences in the pre-intervention measurements (all p ≥ 0.087), highly significant between-group differences existed in the post-intervention measurements (all p < 0.001), with better values (higher MPV) for the FST Group ( Table 4 ).

SF 6 concentration resulted in a highly significant correlation (r 2 = 0.967, p < 0.001) when readings from 1.54 μM to 231 μM were used as input ( Figure 2 E).

The negative relationship between GC content and mutation rate was supported by a highly significant correlation between the observed mutation rate and GC content across the genome ( R 2 = 0.831, P < 0.001) (see Supplemental Fig.

In severe frailty, 54.5% (45/82) experienced a decrease in polypharmacy, while 45.5% (37/82) remained unchanged, and no increase was observed, with a highly significant p -value ( p < 0.001) [ 96 ]. 3.8.

A chi-squared test revealed a highly significant deviation from uniformity (χ 2 (3) = 17.87, p < 0.001).