Excerpts

Temperature (T) and aging time (D) showed highly significant effects ( p < 0.0001), while humidity (H) also demonstrated a significant influence, with all three main factors falling below the 0.05 threshold.

All four models were highly significant ( p < 0.0001) with non-significant lack-of-fit tests ( p > 0.05), indicating adequate model fit.

Figure 1 shows a decreasing trend with time for SBP, which was confirmed by a repeated measure ANOVA analysis (F(1,198) = 394.4, p < 0.0001).

Analysis with Naïve Bayes model ALT By means of statistical analysis, the difference of ALT levels between NF group and F group is quite significant (p < 0.0001) and the average value of F group is 4.6(336/73) times of the average value of NF group (Fig. 2 A).

At the same time, the linear factor temperature (A) and the quadratic factors (A 2 and C 2 ) are highly significant, as their p-value is less than 0.0001 (p-value < 0.0001).

Regarding cardiac activity, the HR also followed a positive trend (exponential fit: R 2 = 0.23, p < 0.0001) (Fig. 2 b).

However, the performance gap between the leading model (DeepSeek) and the baseline model (ChatGPT-3.5 Turbo) was highly significant ( p < 0.0001), confirming substantial advancements in newer models.

The ROC curve plotted for this model was highly significant with a p value < 0.0001*** and area under the curve of 82.4% (Fig. 6 a).

A one-way ANOVA test conducted across all transformer-based models yielded a highly significant result (F = 163, p < 0.0001), clearly indicating that model performance in terms of accuracy was not uniform.

While MEASSA’s performance advantage is most pronounced and highly significant (p ~ 1e-4) against simpler algorithms like SCA, GWO, and its predecessor ASSA, it also maintains a clear and statistically significant edge (p < 0.05) over its closest competitors, mJS and PSO-ACO, which show the smallest yet still definitive p-values (p ~ 1e-2 to 1e-3).

Highly significant differences were observed among the genotypes ( P < 0.0001) across all traits. β-carotene ranged from 0.028 to 0.763 μg/g, lutein from 0.11 to 4.79 μg/g, and zeaxanthin from 0.05 to 1.69 μg/g, with total carotenoids reaching up to 9.15 μg/g.

A highly significant negative correlation was found between each of the miRNAs 27b, 130b, and 138 on one side, and PPARγ expression levels on the other side (Spearman r = −0.6085, P < 0.0001, r = −0.6290, P < 0.0001, and r = −0.2831, P = 0.0021, respectively).

Statistical significance was set at p < 0.05, with p < 0.001 indicating a highly significant result and p < 0.0001with highest significant.

Highly significant elevations were noted in HIV+ ( p < 0.0001), TB+ ( p = 0.0002), and TB-HIV+ ( p < 0.0001) compared to healthy controls.

In contrast, zoledronic acid exhibited highly significant correlations for cell inhibition and TNF-α stimulation (r = 0.454, p < 0.0001), cell inhibition and RAP1A inhibition (r = 0.556, p < 0.0001), and TNF-α stimulation and RAP1A inhibition (r = 0.499, p < 0.0001).

The difference between peak parasitemia following challenge of WT and PD-1KO mice was highly significant (p < 0.0001; Fig. 1b ).

There was a highly significant positive linear relationship between overall basal area and large tree basal area (F 1,28 = 127.5, R 2 = 0.82, P < 0.0001).

Interestingly, over 30% of our RA cohort displayed anti-IL-2/IRF5 Abs in a highly significant double positivity ( p < 0.0001) and a more frequent multiple seroreactivity was observed in RA patients compared to healthy controls (Table 1 ).

4 a) showed a highly significant interaction between culture medium and initial inoculum concentration ( p < 0.0001), indicating that the effect of inoculum depended on the culture medium.

A logistic regression analysis revealed this to be a highly significant difference (b = 2.74, 95% CI = [1.94, 3.54], z = 6.7, p < 10 −4 ).

Concerning the grazing area generated from uni-versus multinucleate amoebae, an unpaired t test, two-tailed, with Welch’s correction has been executed with GraphPad Prism Software (San Diego, CA, USA) to compare the grazing distribution that is highly significant (p value < 0.0001).

The fitted GLMM was highly significant with group Test (β = 0.25, t = 3.8, p = 0.0001, 95% C.I = [0.12, 0.38]) and action ‘flap wings’ (β = -0.27, t =-2.5, p = 0.02, 95% C.I = [-0.48, -0.06]) correctly predicting the response rate.

The difference between the obese ZDF group and the STZ-treated WT group was highly significant ( fa/fa : liver +45%, p < 0.0001; kidney + 64%, p < 0.0001).

Remaining 16 IA-predicting candidate loci (6 intergenic, 8 intronic, and 2 synonymous SNPs; log10BF > 6.1 and p < 5 × 10 –8 ) were not accompanied by any neighbor promotor or functional variations such as UTR, missense, and nonsense SNPs that showed both moderate to strong LD (0.5 < r 2 < 1) and marginally significant associations ( p < 0.0001, data not shown).

Table 7 shows the fit summary results, the quadratic model is a highly significant and adequate model fitting L-asparaginase production with a very low probability value ( P- value < 0.0001) and non-significant lack of fit ( P- value = 0.7160, F -value = 0.58).