“highly significant”

In both cases, the difference was highly significant ( p < 0.001).

The statistical parameters confirm the hypothesis that the differences between the results are either not significant (p > 0.05), significant (0.001 < p < 0.05) or highly significant (p < 0.001).

Cells were harvested 24 hours post transfection to assess GFI1 expression levels by quantitative RT-PCR, revealing a highly significant down regulation of both GFI1 RNA (p < 0.001) (Fig. 4A ).

None of these announced activities would actually take place, and while participants prepared for them they were asked to take part in an allegedly separate experiment on economic decisions (see Methods). Results Validation of the motive inductions A linear mixed effect model on change in motivational and affective ratings (i.e., difference scores between post-induction and pre-induction ratings) resulted in a highly significant interaction between the induction and the motive/affective state (F (16,1536) = 4.59, p < 0.001), suggesting that the latter were differentially affected by the inductions (Fig. 1 , panel B).

At day 8, the difference between escape latency of targeted NPs treated group was highly significant (p < 0.001) with all other groups and it was almost similar to control group.

The results showed a highly significant difference between the LA and HA groups ( t = −13.38, p < 0.001, n = 44), indicating that the algorithm was successful in accurately distinguishing between these two bursting patterns.

It revealed a highly significant association between cultivation method and the occurrence of multiple pesticide residues (χ 2 = 20.90, df = 1, p < 0.001).

Furthermore, the two pollutants showed a highly significant correlation ( r = 0.97; P < 0.001) [ 34 ].

In model 2, with an alternate set of control variables representing family and occupational characteristics, time pressure at work continues to be a highly significant predictor of burnout ( p < .001), with no decrease in effect size.

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.

Group differences in neurocognitive function The MANOVA on group differences in neurocognitive function was highly significant for Group (F(16,176) = 3.78, p < 0.001, η p 2 = 0.256).

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).

However, the main effect of image category was highly significant ( F [1, 76] = 158.38, p < 0.001, η 2 = 0.67), and the interaction of age group and image category was also significant ( F [3, 76] = 3.19, p = 0.028, η 2 = 0.11).

The number of rescue analgesic requested was significantly lower in Group A than Group B and the difference was highly significant ( P < 0.001).

VAS score on coughing showed statistically highly significant difference ( P < 0.001) with a mean of 2.03 ± 0.65 in study group and 3.71 ± 0.52 in control group [ Figure 2 ].

Results: Number of years of exposure to passive smoking was highly significant to the extent and intensity of gingival pigmentation ( P < 0.001).

The increase in MT ONH , MT PPR and OPP was highly significant (p < 0.001 each).

In the post-treatment, highly significant differences were absorbed in both evaluation methods ( P < 0.001).

However, the prototype effect remained highly significant (F (1, 191) = 227.6; p < 0.001).

Two one-way ANOVAs demonstrated the effect of level to be highly significant ( p < .001) whereby the rated effort decreased linearly with increasing level when listening with CI, F (1, 14) = 28.3, p < .001, η p 2 = 0.7, as well as bimodally, F (1, 14) = 58.7, p < .001, η p 2 = 0.8.

Significance levels were denoted as follows: P < 0.05 indicates significant differences, P < 0.01 denotes highly significant differences, while P < 0.001 signifies extremely significant differences, and P > 0.05 suggests a lack of significant differences.

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.

Statistical evaluation Statistical significance of probes was evaluated by ANOVA using a two-tailed Tukey-Kramer approach for multiple comparisons (highly significant ***p < 0.001; very significant **p < 0.01; significant *p < 0.05; not significant (ns) p > 0.05).