“highly significant”

We also observed a highly significant main effect of target–flanker separation , F (2.91, 78.55) = 79.38, p < 0.001, η 2 = 0.129.

The chi-squared test for antimicrobial resistance demonstrated a highly significant difference among the resistance rates across the tested antibiotics (χ 2 = 40.926, p < 0.001).

Statistical analysis of cell migration rates revealed a highly significant difference between the treatment groups (TQ, DX, TQ + DX) and the control group ( p ≤ 0.001).

The addition of other components, including sweetener, colorant, antimicrobial agent, and flavoring agents, significantly affected (compared to P6G10 sample) springiness index ( p = 0.001–0.05) and the positive impact on its resistance against compression was highly significant ( p < 0.001).

For all these five miRNAs, the linear correlation coefficient r was found to be higer than 0.9 and presented an slope with a highly significant deviation from zero (p ≤ 0.001).

Multivariate analysis of variance (MANOVA) conducted on the selected principal components revealed that genotype (Variety) had a highly significant effect on overall terpene composition during both the vegetative and flowering stages (Pillai’s trace test, p < 0.001), confirming the strong genetic determinism of varietal aromatic profiles.

patens Similarly to the previous reports in rice [ 9 ], the [Ca 2+ ] i -dependent luminescence signal was related to the degree of salt stress ( Figure 5 A); 0.1 M NaCl induced a significantly stronger average luminescence signal than the control ( p < 0.05), and a highly significant difference was observed between the signals induced under the 0.1 M, 0.2 M, and 0.3 M NaCl treatments ( p < 0.001), indicating that low concentrations of NaCl induced a rapid increase in [Ca 2+ ] i -dependent luminescence signaling.

When the effect of patient insurance status was controlled the association remained highly significant ( r = 0.392, n = 202, p = 0.001).

The analysis yielded an F-statistic of 298.59 and a p -value of approximately 9.03 × 10 −57 , indicating highly significant differences among model performances ( p < 0.001).

Based on two-way ANOVA, there was a highly significant interaction between treatment and genotype ( F (1,36) = 41.78, p < 0.001 ).

Additionally, a highly significant correlation was found regarding reactivity based on the sex of the animal ( p < 0.001), with males exhibiting a greater susceptibility to atopic dermatitis.

**, p < 0.01 indicates a highly significant difference. ***, p < 0.001 and p < 0.0001 indicate a very highly significant difference. 3.

The PR diet produced an even greater and highly significant LeR increase from baseline and compared to the control diet in neuronal‐enriched EVs (interaction of diet type and time point, F(1, 36) = 20.120, P < 0.001; univariate post hoc comparison of the two diets after 1 month, F(1, 43) = 6.41, P = 0.015; univariate post hoc comparison between baseline and 1 month after PR diet, F(1, 35) = 52.772, P < 0.001) (Fig. 2 B).

The levels of significance were defined as follows: p ≤ 0.05 indicates a statistically significant difference (5% probability of the result occurring by chance), ** p ≤ 0.01 indicates a highly significant difference (1% probability of error), and *** p ≤ 0.001 indicates an extremely significant difference (0.1% probability of error.

p < 0.05 is considered statistically significant, p < 0.01 as highly significant, p < 0.001 as extremely significant, and p < 0.0001 as ultra-highly significant.

It was also found that the changes in MGEs of all samples were close to the trends of ARGs, while the results of correlation analysis ( Figure 3 b) showed that there was a highly significant strong positive correlation between ARGs and MGEs (r = 0.98, p < 0.001).

Analysis also indicated a highly significant main effect of media influence on body image, F (1, 110) = 27.602, p < .001, η p 2 = .201.

There were also highly significant associations between malaria morbidity and types of occupation (fire wood cutter and casual labourer) ( P < 0.001) and the duration of migration ( P < 0.001) (Tables 4 and 5 ).

Among nonprofessional FSW, “students”, “civil servants” and “housewives” were less often infected (6.10%, 9.83% and 13.00%, respectively), whereas “sellers” showed very high HIV prevalence (31.91%).This large difference in HIV infection between categories was confirmed by highly significant Chi- 2 test for trend (P<0.001).

All variables showed highly significant associations ( p < 0.001) with qualification status, indicating systemic differences between the groups.

All differences between the observed scores and normal values were highly significant ( p -value < 0.001) (Fig. 2 ).

For both PLINK and RZooROH methodologies, we detected highly significant differences in F ROH , N ROH , and S ROH between genome versions ( p < 0.001 in all cases; Table 2 and Tables S4 and S5 ; Figure 1 ); specifically, CheloAbing_2.0 consistently produced smaller N ROH and greater F ROH and S ROH estimates than Chelo_Abing_1.0 across pairs of samples.

These sequential effects were highly significant (previous stimulus: t (31) = 8.572, P < 0.001; previous response: t (31) = 8.317, P < 0.001), and their magnitudes and attraction profiles were consistent with earlier reports [ 27 , 31 , 38 ], following a first derivative of Gaussian (DoG) curve (previous stimulus: amplitude = 2.91° [2.18 3.60], peak location = 20.28° [18.60 22.75]; previous response: amplitude = 4.10° [3.06 5.15], peak location = 22.48° [19.95 25.05]).

The analysis showed a highly significant main effect of congruency (classic Stroop effect) [ F ( 1 , 53 ) = 345 . 62 ; M S e = 109 . 86 , p < 0 . 001 , η p 2 = 0 . 867 ].

Bartlett’s test of Sphericity demonstrated that the inter-item correlations were highly significant (χ 2 = 15,166.2; df = 1,431; P < 0.001).