In contrast, compared to α IIb β 3 , both α v β 3 and α 5 β 1 reveal a highly significant reduction of overall contacts by ~10% ( p < 0.0001) (Fig.
Excerpts
This perfectly matches ANOVA table, where D had the highest F-value (486.64) and was highly significant ( p < 0.0001). pH is the next major contributing factor.
Of the 32 datasets with highly significant changes ( P ≤ 0.0001 and |lineal fold change (FC)| ≥ 2) (Fig. 1a ; Supplementary Table S1 ), 26 (81%) presented higher levels of SMARCA4 transcript in tumor samples than in non-tumor samples.
One-way ANOVA statistical analysis also established that there existed an extremely highly significant difference ( p < 0.0001) among the test concentrations.
Linear regression analysis performed using the Passing-Bablok technique showed that the highly significant relationship between these two variables is given by the quadratic equation NFA FIJI = 2.78 × 10 −4 (NFL) 2 + 0.72(NFL) + 471 (solid curve in Fig. 7 ; p < 0.0001).
The statistical analysis using ANOVA test with equal sample size across groups ( n = 10) revealed a highly significant difference among the different current levels ( p < 0.0001), indicating that the response was strongly dependent on the magnitude of the applied current.
The 15 mg/kg bw group showed significant elevations ( p < 0.0033), while the 60 mg/kg bw group demonstrated a highly significant increase ( p < 0.0001).
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.
The analysis revealed highly significant main effects of PCA concentration (F4,40 = 550.59, P < 0.0001) and fungal species (F3,40 = 30.32, P < 0.0001).
There was an extremely significant difference in the number of male offspring among the four crossings (SNK, P = 0.0001), though no significant difference was observed between (WT♀ × WT♂) (53.56 ± 2.49) and (TI♀ × TI♂) (58.35 ± 1.89) (SNK, P = 0.074), both of which gave approximately equal mean number of male and female progenies ( Table 1 ).
Highly significant statistical differences were found in fruit firmness among cultivars (F = 41.02; df = 8, 36; p < 0.0001); the firmest was ‘Criolla’-NL, and the softest ‘Criolla’-HG (Table 2 ).
RSPM performance (M = 62%, SD = 21%) was highly varied across participants, and linear modeling indicated a highly significant relationship between RSPM accuracy and both D’ sensitivity for texts (b = 0.81, p = .0001) and overall judgment accuracy for comments (b = 0.29, p = .0001).
bacteria resulted in highly significant increases in bacterial growth ( P < 0.0001), compared to controls.
In terms of soil organic matter content, Wutai County had a significantly higher level (35.25 ± 4.20) compared to Pingshun County (26.65 ± 2.14), and this difference was statistically highly significant ( P < 0.0001).
For IgG antibody, the differences in Abs between control sera negative for SARS-CoV-2 antibody and sera positive for SARS-CoV-2 antibody were highly significant for all antigens, as shown by their p values ( p < 0.0001).
Firstly, the gesture-only conditions (blurred, pointing, give-me gestures) were statistically investigated in a 2-way ANOVA (Time window × Gesture type) calculated across the three time windows, which revealed a highly significant interaction (F(4, 96) = 8.47, ε = 0.66, p = 0.0001, η p 2 = 0.26).
Results In the exploratory phase, WFNS and age were shown to be highly significant predictors for the outcome (p < 0.0001 for both).
The effect of coating (B-S, M-S, F-S, P-S), test substrate (glass or OTS-SAM coated glass) and treatment conditions (air or water) was highly significant (df = 16, F = 22.7982, p ≤ 0.0001*) as were many of the interactions, including the three-way interaction of coating*surface*treatment ( SI Text, section 3, Table S4 ).
We found a highly significant correlation for the oligomers generated from both HypF-N (r = 0.93, P < 0.0001) and Aβ 42 (r = 0.95, 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 ).
This model explains more than 50% of the data variance (R 2 marginal = 48.3%; R 2 conditional = 53.3%) and shows a highly significant effect of the colour of the lights ( p -value < 0.0001, Estimate = 0.41) with red lights prompting the answer “warmer” and blue lights prompting the answer “colder” (Fig. 4 ).
Statistical analysis revealed that the differences in surfactin production across these carbon sources were highly significant ( p < 0.0001).
A two-way ANOVA [Pre-post (pre/post, within-subject factor) × Music-type (no-music/high-tempo/low-tempo, between-subject factor)] applied to the SSRT in sham condition showed that the main effect of Music-type was not significant however, the main effect of Pre-post was highly significant (F(1,70) = 17.57; p = 0.0001) (Partial Eta Squared = 0.20).
At 3 months the Kruskal–Wallis test indicated a highly significant difference among treatment groups (Kruskal–Wallis H 3 = 23.42; 4 groups, n = 32, p < 0.0001).
Similarly, the linear effect of OO concentration is highly significant (X 3 , F Ratio = 45.15, p <.0001).