The overall ANOVA revealed a significant main effect of treatments (F 3,12 = 59.09, P < 0.001) and a significant trend for RPP to reduce during the six weeks (F 21,84 = 5,67, P < 0.001).
Excerpts
A chi-square test revealed a highly significant performance difference between negated and non-negated reports for BERT (χ2 ≈ 300.46, p < 0.001), suggesting that the BERT model is particularly sensitive to negation.
Results for R2 were different with highly significant values of all datasets (p < 0.001) but highest correlation values of the reanalysis products.
It is observed that L-SLNs (5 mg/kg, 10 mg/kg) showed a moderately significant ( p < 0.001) improvement, as these groups spent less time both in the open arm and the closed arm, as compared to the disease group, indicating improvement in cognitive behaviour, as shown in supplementary Table 4.
The results were considered significant at * p < 0.05, very significant at ** p < 0.01 and extremely significant at *** p < 0.001.
Overall, epigenetic age exceeded chronological age by a highly significant margin (paired t(29) = 9.77, p < 0.001, 95% CI 15.28–23.36).
The analysis showed that 26 GRDEGs had highly significant expression differences between SLE and control samples (p value < 0.001).
Analysis of variance revealed highly significant differences ( p < 0.001) among the genotypes, blocks and its interaction for all the traits studied showed that a wide and significant variation existed among the genotypes and traits.
Most contrasts between Cold and Slightly Cool were highly significant (p < 0.001), particularly for TCV and TAV.
Heterogeneity was highly significant ( p < 0.001) in yield, biomass, height, stem diameter, WUE, stem diameter, weed biomass, moisture content, temperature, pH, AP, and K.
However, only weakly significant relationships were observed between general practitioners’ age their years of practice, and their attitudes toward autism (r = 0.271**, p < 0.001; r = 0.105*, p = 0.046, respectively).
The pattern of isolation by distance (IBD) became highly significant after the heatwave (Mantel tests Z = 691.70, r = 0.92, P < 0.001) but was not significant before (Mantel tests Z = 500.99, r = 0.40, P = 0.17).
In Saudi females, six equations (hand and finger measurements) were all highly significant ( p < 0.001), with R values from 0.593 to 0.904.
At 3 months, the correlation coefficients became strong, with Menadione showing r = 0.468 and XELOX r = 0.519, both highly significant ( p < 0.001).
EMS dose had a highly significant ( p < 0.001) effect on all assessed traits except root length.
Using a generalized additive mixed model (GAMM 51 ), which accounts for the temporal structure within the data by specifying a correlation structure (corAR1), we test for change in the estimated size of the projected potential climatic niche space through time, from 145 ka to 30 ka ago and find a significant trend ( r 2 = 0.373, edf = 2, p < 0.001), in which as time progresses, there is a general pattern of contraction from the Eemian onwards (Fig. 5 ).
The Physical Component Summary (PCS) and Mental Component Summary (MCS) scores also showed highly significant differences between pre-intervention and both 12 weeks and 24 weeks(PCS: p < 0.001, Kendall’s W = 0.594; MCS: p < 0.0001,Kendall’s W = 0.720).
Difference in disease severity of accessions across test conditions Factorial ANOVA showed highly significant variations for IWDSs among the ITC accessions (A: F = 17.54; df = 89; P < 0.001), genome (G) groups (F = 111.67; df = 9; P < 0.001), races (R: F = 19.70; df = 1; P < 0.001), test conditions (T: F = 312.50; df = 1; P < 0.001), and their interactions (G×T: F = 37.23; df = 9; P < 0.001; T×R: F = 63.24; df = 1; P < 0.001; and G×T×R: F = 35.22; df = 9; P < 0.001).
2b ) were highly significant overall (Pseudo-F = 14.68, p = 0.001) and also between all treatments ( Table 2 ).
Considering morph-B to be the reference category, both sex and month factors found to be highly significant ( P < 0.001).
A t -test for independent samples revealed that the difference between the groups was highly significant [ t (391) = 3.82, p < 0.001, Cohen’s d = 0.386].
Relative water content Analysis of variance showed highly significant effects of cultivar and treatment on RWC, with a strong year × cultivar × treatment interaction ( P < 0.001, Table 1 , Fig. 2 ), confirming RWC as the most drought-sensitive parameter.
We highlight those which were highly significant ( p < 0.001) (Table 2 ).
showed a trendp < 0.001
Association between gut microbial taxa composition and intestinal FDG uptake In the analysis of gut microbial abundance of patients in each of the visually graded IU groups, the genus Enterobacter , which belongs to the family Enterobacteriaceae, showed a trend of higher relative abundance in high IU group compared with low IU group ( CE = 1.08; p < 0.001; q = 0.094; Supplement Fig.
Model analysis demonstrated a highly significant time effect across all models (all P < 0.001), indicating a marked increase in B-line scores over time.