From Table 3 , the relationship between thriving at work and innovative work behavior is highly significant ( β = 0.3543 , p < 0.000 ) supporting H 1 .
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The mean ALT level was lower in responders (31.92 ± 2.68 U/L) compared to non-responders (51.95 ± 2.91 U/L), with a highly significant difference (P = 0.000; HS) (Tables 3 and Fig. 2 ).
A highly significant correlation ( Figure 6 A, Spearman Rho = 0.68, P ≈ 0) was obtained between observed and expected values, suggesting that, in general, TEs tend to insert randomly in the genome.
This difference was again highly significant (two‐sample KS test, P ~ 0).
The likelihood ratio statistics (LR chi-square (60) = 356.33) are highly significant P < 0.0000).
The AMOVA result for the overall population showed a highly significant difference ( Φ ST = 0.460, p = 0.000), indicating a genetic structuring among N. hexodon population in Thailand ( Table 4 ).
However, when tested by the independent two-sample t -test (2-tailed), the difference in CO 2 concentrations before and after the ventilation improvement is statistically extremely significant at the 100% confidence interval ( p = 0.000 in Classroom 1, 387 and 740 measurement points; p = 0.008 in Classroom 2, 387 and 718 measurement points).
Association of socioeconomic factors with the risk of the GC incidence The output of the model, presented in Table 7 and 8 , shows this model was highly significant (F-Statistic: 82.32235; P =0.0000).
Regarding justification of the three-level model with a random intercept and a random coefficient, it should be noted that the likelihood-ratio test comparing a random-coefficient model to a random intercept model yielded a highly significant chi-square value of 75.96 (degrees of freedom (DF) = 1, p = 0.000).
There are also highly significant interactions between the species and the chemical compound (F 1, 133 = 26.3, p < 0), species and storage (F 1, 133 = 19.2, p < 0), compound and storage (F 1, 133 = 52.4, p < 0) and between species and plant part (F 1, 133 = 2.9, p < 0.05).
This analysis identified a highly significant subnetwork ( P = 0) with dense connectivity among genes involved in ECM organization, collagen biosynthesis, and chondrocyte development ( Fig. 2E ).
It is statistically very highly significant ( P = 0.000).
BGDR reported highly significant coefficients for MA(1) = −0.9986 ( p = 0.000) and seasonal MA(1) = −0.9637 ( p = 0.000), with AIC = 13232.4, BIC = 13257.7, and residual diagnostics showing no autocorrelation (Ljung–Box p = 0.94) and no heteroskedasticity ( p = 0.40).
The FEV1/FVC ratio was also highly significant (F = 45.054, p = 0.000).
Motivation appeared to have a highly significant negative impact on perceived effort ( β = −1.39, t = 21.03, p = 0.000) and perceived effort appeared to have a (less significant) negative impact on motivation ( β = −1.62, t = −4.69, p = 0.000).
The Fu’s Fs was highly significant and negative ( Fs = −369.901, p = 0.0000), indicating an excess number of alleles, as would be expected from a recent population expansion or genetic hitchhiking.
ANOVA tables of different LFT parameters showed highly significant ( p = .00) effects of treatments, days, and interaction (Tables S3–S10 ).
There was a highly significant difference, which was detected between the prevalence of parasitic infestation and diarrhea (P=0.000).
In spite of the sample-size differences, an ANOVA comparing the average bursts-in-context LDT 0.75 of experiment 2 to the average burst-in-isolation LDT 0.75 of experiment 1 did reveal highly significant context-interference effects for both /pᴂk/, F(1, 22) = 21.50, MSE = 20.44, p = .00, and /pᴂt/, F(1, 12) = 9.80, MSE = 25.90, p = .01, because in experiment 2 the LDTs were 1.0–5.0 dB larger than those of experiment 1 (see Fig 1 ).
Our approach recovered 41.3% (1570/3799) of the biomarker candidates reported in the literature, a highly significant recover rate ( P = 0) (Table 1 ).
The Bartlett’s test of spherity was highly significant (χ2 (378) = 2836.48, p < 0.00).
The results of the analysis of quarterly deliveries in the 77 health facilities indicated a decreasing trend in deliveries (slope = − 13.131, p = 0.00) during the 24 months preceding implementation of the policy.
This statistic was highly significant ( p = .0000), indicating the variable depressive symptoms was overdispersed.
The model’s goodness-of-fit was further supported by a highly significant likelihood ratio test (p < 0.00) and a pseudo-R-squared value of 0.6985, suggesting that the independent variables explained approximately 69.85% of the variation in ICT preference.
Results: The result of this study shows that there was highly significant improvement in six-minute walk distance pre and post intervention in chemotherapy (33.75+21.55, p=0.000), radiation therapy (39.69+25.46, p=0.000) and chemoradiotherapy (32.06+16.49, p=0.000) within the group.