The highly significant differences in plasma progesterone levels between the follicular and premenstrual phases were equally strong for both groups (p < 0.0001).
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The ANOVA results from Table 8 show that the quadratic model was highly significant ( p < 0.0001) and that all main effects (pH, inoculum size, temperature, and time) and their interactions significantly influence amylase production.
In males, the difference was highly significant (547.67 ± 19.77 vs. 449.35 ± 13.34, p < 0.0001), and a comparable trend was observed in females (352 ± 16.73 vs. 316.31 ± 11.22, p < 0.0001).
When such analysis was performed on the gene expression profiles indicative of multifactorial gill disease, IPA identified 15 top upstream regulators associated with 101 of the 235 submitted DEGs, all highly significant (overlap P -value < 0.0001) and activated ( z -score > 2) ( Figure 7 and Supplementary Table 9 ).
For all nine samples, highly significant SCF determinations were obtained ( p < 0.0001).
The level of significance ( p -value) for each test is indicated in the figures using the following notation: ns ( p > 0.05)—non-significant, * (0.01 < p ≤ 0.05)—significant, ** (0.001 < p ≤ 0.01)—very significant, *** (0.0001 < p ≤ 0.001)—highly significant, and **** ( p ≤ 0.0001)—extremely significant. 5.
The overall effect of the IIRC grouping was highly significant ( p < 0.0001) ( Table 3 ).
Villus height showed a highly significant AST × ALP interaction ( p = 0.0001).
There was a weak trend of increasing uptake of 15 N by individual species with greater species‐level leaf N ( P < 0.0001, R 2 = 0.08, respectively; Fig. 3 a).
Statistical analyses (Friedman test) revealed highly significant differences among the time points ( p < 0.0001).
, 2019 ), the correlation between hangover frequency and severity was highly significant ( r = 0.710, P < 0.0001), suggesting reverse tolerance.
The log-rank test indicated highly significant differences in lifespan between control and mutant lines (p < 0.0001).
showed a trendp < 0.0001
Significant variation ( p < 0.05) in annual ceftolozane/tazobactam percent susceptible values was not observed for isolates from blood, intra-abdominal, and respiratory tract sources, while isolates from urine showed a trend of increasing ceftolozane/tazobactam susceptibility from 73.1% (2018, n = 145) to 90.6% (2023, n = 117) ( p < 0.0001).
To check this we performed real-time RT-PCR on patient lymphoblastoid RNA and observed a highly significant drop of >75% in CARMIL2 expression levels for the F1 proband versus healthy controls ( p < 0.0001).
The use of tramadol for analgesia was confirmed as a highly significant contributing factor for NAE (OR, 6.3; 95% CI, 3.0 to 13.4; P < 0.0001).
Results A highly significant, positive correlation was found between lower death rates and a country's proximity to the equator (Pearson r = 0.40 P < .0001, 2-tailed t test).
Using a multivariable mixed effect model, we report a highly significant increase in TLR5-induced production of IL-8 from monocytes of older individuals ( P < 0.0001).
First, we found a highly significant positive relationship between NDVI and soil moisture in the west kernel during January ( r = 0.736, P < 0.0001), indicating that a high NDVI is associated with greater water availability for winter plant growth and, as shown previously, with larger populations of herbivorous insects ( 38 ).
Improvements were somewhat lower but highly significant (p<0.0001) in phase 2 (5.4% and 8.7%, respectively; n=62 pulmonologists).
The Bartlett test of sphericity (BTS) results show a highly significant finding from the BTS of (χ 2 = 36111.980, df = 1128, p < 0.0001).
Population analysis Linkage disequilibrium tests performed on the whole sample were highly significant ( I A S : 0.0703; P <10 −4 ) and the pairwise variance (V D : 4.3845) was greater than the 95% critical value ( L : 2.6948).
This analysis revealed a highly significant impact of the baseline value (p < 0.0001) and no impact for the group (p = 0.692).
The correlation between these measures was highly significant, r = 0.83, p < 0.0001.
Results We identified thirteen loci showing significant differential DNA methylation levels between tumor and non-tumor lung; eight of these show highly significant hypermethylation in adenocarcinoma: CDH13, CDKN2A EX2, CDX2, HOXA1, OPCML, RASSF1, SFPR1, and TWIST1 (p-value << 0.0001).
Spectral Analysis of Heart Rate Variability The power spectral analysis revealed significant difference ( p = 0.045) for LF power and highly significant difference ( p < 0.0001) for both HF power and LF/HF power ratio.