Excerpts

The differences between conditions with feedback and without feedback are highly significant ( p < 0.0001 for each comparison).

By 3-way ANOVA, time, environment, and age were highly significant ( P < 0.0001) for the recovery of performance on the inclined plane.

Depression symptoms The analysis of data using the Mann–Whitney U -test revealed that after 12 months of active treatment, the general level of depression symptoms significantly decreased from 21 to 14 ( Table 2 ) (median decrease 3, P < 0.0001) among Polish patients and showed a highly significant reduction from 22 to 12 (median decrease 7, P < 0.0001) in the Germany patients.

Shoot Induction The ANOVA revealed that BAP alone as well as combined with IBA had a very highly significant ( p < 0.0001) effect on the rate of shoot induction, number of shoot, shoot length, and number of leaf per shoot ( Table 1 ).

All tests yielded highly significant results, with p -values < 0.0001, providing strong confidence in our findings (Supplementary Table 4).

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).

- C.-Neonatal factors: - Birth weight: There is a highly significant association between mothers who smoke and a higher incidence of low birth weight (<2500 g) with a P < 0.0001 and OR: 2.18.

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 .

Differences between both targeting vectors and the control vector were highly significant (∗∗∗∗p < 0.0001), regardless of whether αG staining was performed with vWF or P-selectin ( Figure 3 C).

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).

Comparison of the difference in the proportion of FAERS reports with the NITL terms in drugs with and without the relevant labeling was nominally significant ( p < 0.0001; Kruskal–Wallis ChiSquare approximation).

Data from non-island world countries provides more highly significant correlations (p < 0.0001) between COVID-19 morbidity, and: GDP (r = 0.616), overweight (r = 0.581), obesity (r = 0.583); COVID-19 mortality, and: GDP (r = 0.43), overweight (r = 0.556), obesity (r = 0.539); GDP, and: overweight (r = 0.601), obesity (r = 0.633).

In addition, the log 2 fold-change values calculated from microarray and qPCR data showed a highly significant correlation (R 2 = 0.8653; p < 0.0001), showing excellent overall confirmation of the microarray results by qPCR ( Supplemental Figure S3 ). qPCR results for 14 transcripts involved in the innate immune response are shown in Figure 6 .

The loads exhibited a highly significant difference on application of statistical analysis ( P < 0.0001; one-way ANOVA).

VRS showed an increasing trend with the severity of care, p < 0.0001.

The difference between syntenic and non-syntenic genes was highly significant ( P < 0.0001, Wilcoxon rank-sum test) for all species separately.

Furthermore, Treg populations showed a decreasing trend in the untreated and/or vehicle groups but an obvious increase after ERC-CM treatment (ERC-CM group vs. untreated group, p < 0.0001; ERC-CM group vs. vehicle group, p < 0.0001) (Figures 4(b) and 4(e) ).

Among LAC patients with additional tissue section available for next-generation sequencing (NGS)-based analysis, 26/193 (13.5%) patients found positive for even low-rate EGFR-T790M mutated alleles at baseline were associated with a highly significant lower survival in comparison to those without (8.7 vs. 47.4 months, p < 0.0001).

Generally, temperature linear terms (X 3 ) were highly significant ( p < 0.0001) for most responses, except for FRAP and cyanidin-3-rutinoside responses.

The median overall survival was not reached for any group receiving [ 225 Ac]Ac-mcp-TDI-Y-010, with highly significant survival benefits observed across all dose levels ( P < 0.0001 for the 9.25- and 18.5-kBq cohorts, P = 0.0002 for the 37.0-kBq cohort) ( Figs. 2B and 2C ).

For both tau and NfL there were highly significant differences across diagnostic groups including HCs (Kruskal-Wallis, p=0.0001).

2 , highly significant correlations ( P < 0.0001 for all markers) were observed for ER (tumor R = 0.76), Ki‐67 (tumor R = 0.41), CD4 (tumor R = 0.34, stroma R = 0.52), and CD8 (tumor R = 0.48, stroma R = 0.56).

3 Results 3.1 Influence of extraction factors on the total polyphenols content The response model was highly significant with P < 0.0001 ( Table 3 ).

Interestingly, the expression of CD57, KLRG-1, and CD28 show moderate and highly significant correlations with the estimated production rates ( r = -0.6576, r = -0.6741, r = 0.7088, respectively; for all markers P < 0.0001) ( Fig 5 ).

The correlation between MSR and RCR was weak but highly significant (Spearman r=0.21, p<0.0001), indicating that papers with high scores for methodological standards were somewhat more likely to also score highly for regulatory standards.