Excerpts

Carotenoids A highly significant quadratic response surface model ( F value = 34.51, p < 0.0001) was developed to describe carotenoid production by N . intermedia , demonstrating exceptional explanatory power with an R 2 of 0.9780 and an adjusted R 2 of 0.9496, whereas a high adequate precision ratio of 18.88 confirmed its reliability for prediction (Figure 3 ).

The OmicSoft analysis revealed that HOXB9 expression was higher in mutant CRC versus wild type with highly significant upregulation in KRAS -mutated samples ( p < 0.0001) ( Figure 2 c–e). 3.2.

When comparing the time ratio Z3/Z1 in both genotypes with age, a highly significant genotype effect ( p < 0.0001) was observed.

The quadratic model Y = 1.08 + 0.092× 1 + 0.045× 2 + 0.15× 3 –0.13X 1 X 2 –0.14× 1 2 –0.23× 2 2 –0.20× 3 2 was highly significant ( p < 0.0001) and lacked-of-fit was not ( p = 0.197).

When comparing MD incidence between the birds challenged by Ikaros WT and Ikaros Mut, there were highly significant differences in MD incidence for both replicates 1 and 2 depending on infection with the different Ikaros alleles ( p < 0.0001 for both replicates).

The log-rank test confirmed highly significant differences across the three categories ( p < 0.0001).

Comparing the 5 min intervals with repeated measures ANOVA, the changes during the experiments are highly significant ( F 9,108 = 21.0; p < 0.0001).

There was an extremely significant positive correlation between depression and poor sleep quality with correlation coefficient r = 0.6752, p value <0.0001.

log2 transformed qRT-PCR Cq values (Y) revealed a highly significant correlation ( P < 0.0001, r 2 = 0.51) ( Supplementary Figure 1 ).

Nonparametric tests for correlation confirmed that the negative relationship between log e -transformed deviations and population size was highly significant (Spearman rank-order correlation: ρ = −0.23, p < 0.0001; Kendall's τ: ρ = −0.17, p < 0.0001; N = 342).

The correlation between these measures was highly significant, r = 0.83, p < 0.0001.

The differences between the mean STAT, MAT, and IHA titers of infected cattle and healthy vaccinated cattle were highly significant (p<0.0001, p<0.005, and p=0.0002, respectively).

Following the diet period, quantitative real-time polymerase chain reaction revealed a highly significant increase of P2X 4 expression in aortic arches with atherosclerotic lesions ( p < 0.0001, Fig. 1 A), compared to non-atherosclerotic aortic tissue.

The correlation between anti-RBD and anti-Trimeric S IgG with NAb titers was highly significant ( p < 0.0001) at each time point, being spearman r slightly variable over time ( Table 1 ).

The median survival advantage for WBRT + SRS was highly significant ( p < 0.0001) as was the advantage for local tumor control ( p = 0.004) and median time to progression for the treated tumor ( p < 0.00001).

The high-fat meal produced a decline after 4 weeks of placebo [ - 12.37% ( P = .005)], but no decline after 4 weeks of flavonoid supplement [ - 3.16% ( P = .663)], and the difference between the two responses was highly significant ( P < .0001).

All effects and interactions were highly significant ( P < 0.0001, F -test; n = 10,612 in total).

We used the adonis2 function in the qiime2 plugin (q2-diversity) to perform permutational multivariate analysis of variance (PERMANOVA) with 999 permutations, and the included interaction terms (see Table S3 in the supplemental material) and separation of the groups were highly significant ( P = 0.0001).

Our univariate logistic regression analysis shows a highly significant relationship between CT-FFR ML and stress perfusion CMR, with Chi 2 = 47 ( p < 0.0001).

Whereas the density of pancreatic stellate cells (PSCs) was not different in tissues isolated from control and FAEE-AP (72 h) mice ( n = 14 and n = 31, P > 0.54), the density of PMs increased significantly in FAAE-AP mice after 48 h ( P < 0.033) and was highly significant after 72 h ( P < 0.0001; Figure 2E, F ).

SUV max and TBR GGO/consolidation There were highly significant group-wise differences ( p < 0.0001) across both the COVID-19 and BSTI classifications.

There were significant differences in mean systolic (SBP, mean±SD mmHg: 102±12, 108±11, 112±12, 116±12) and diastolic blood pressure (DBP, mean±SD mmHg: 62±10, 66±8, 68±8.9, 70±9) across the four BMI groups with an increasing trend (p-values<0.0001).

One-way ANOVA followed by Tukey ’ s test demonstrated that the enrichment of TcIT in PM with respect to HG (160%) and TM (130%) was highly significant ( P < 0.0001 and P = 0.0001, respectively).

Model 2 Results Model 2 is given by: 4 q it = - 9.7530 2.5982 + 0.0072 0.0003 t + 0.9197 0.0015 q i t - 1 + 0.0501 0.0024 W i t - 1 + 0.0267 0.0041 e Lat i + 38.2003 10.6452 e Long i - 1.1578 0.2894 L a t i + 2.9320 1.0856 Long i + 2.9204 0.6886 ln Lat i + 15.8138 4.8442 ln - Long i + 0.1297 0.0259 L a t i · Long i + 0.0614 0.0278 d p t + 0.0337 0.0248 d p t - 1 + 0.0616 0.0261 d p t - 3 + 0.0043 0.0003 F I i - 4 The coefficient on the deterministic trend, 0.0072, was highly significant ( p < 0.0001), though somewhat smaller than that on initial month of production in Eq. 1 .

IHM rates also varied between regions, increasing in all but the southeast, which showed a decreasing trend (y = -0.1122x + 4.427; R 2 = 0,728; P < 0.0001).