A two-way MANOVA on log 10 -transformed R, G and B luminances of the 6 colour characters indicated that habitat, locality and habitat-locality interaction were all highly significant (habitat, Pillai’s Trace = 0.450, F 6,201 = 27.44, P < 0.001; locality, Pillai’s trace = 0.479, F 18,609 = 6.43, P < 0.001; interaction, Pillai’s trace =0.285, F 18,609 = 3.55, P < 0.001).
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A sensitivity analysis confirmed that after excluding these two patients, the efficacy in the remaining nine patients remained highly significant (61.24% proteinuria reduction, p < 0.001; 26.61% eGFR increase, p = 0.008).
3 Results and discussion 3.1 Physicochemical properties of organic amendments There were highly significant (P < 0.001) differences among all physical and chemical properties of the organic amendments.
The effect of year fitted with the spline was highly significant for two species ( P. austriacus : df = 2.92, p < 0.001 and T. teniotis : df = 3.87, p = 0.026), suggesting a different inter-annual pattern among these species ( Figure 3 , Table 6 ). 4.
The mean ostium height was 28.88 mm (SD=4.97) in the absence of concha bullosa and 30.58 mm (SD=4.47) in its presence, with a highly significant difference (P<0.001).
The value of the LDH is higher in Hegazi (588.71 ± 188.87 U/l) than those of the Shami breed (261.66 ± 20.98 U/l) and this difference is statistically highly significant ( p < 0.001).
The overall breath-holding effect for both shimming methods was highly significant for all subjects (threshold t > 3.11, p < 0.001 uncorrected).
did not achieve significanceP < 0.001
Abnormal glucose test ( N = 33), colonic polyps ( N = 29), dysmetabolic syndrome X ( N = 11), and urinary cast ( N = 10) were among the most frequent traits among MC4R carriers that while suggestive, did not achieve significance ( P < 0.001)(Supplementary Table S11 a, b ).
The level of TGF-β was highly significant (p < 0.001) in the infected group (993.7 ± 112 pg/ml) as compared to the normal control (225.3 ± 17pg/ml).
showed a trendp < 0.001
Lymphocyte to monocyte ratio was significantly higher in the vitamin D treatment groups compared to the controls (3.52 vs 2.70, 95% CI for difference 0.16–1.11, p = 0.009) and (adjusted mean difference 0.4, 95% CI 0.2 -- 0.6; p = 0.001); whilst tumour necrosis factor-alpha (TNF-α) showed a trend towards a reduction in prednisolone ( p < 0.001) and pentoxifylline ( p = 0.27) treatment groups.
The analysis revealed a highly significant systematic divergence between the two assays at the national level (χ 2 = 333.00, p < 0.001).
A significant multiplicative interaction was detected, with the interaction term in the logistic regression model being highly significant (OR = 2.71; 95% CI, 1.52–4.83; P < 0.001).
There was a highly significant and positive correlation between ambient dose rate and total individual absorbed dose rate (χ 2 (1,226) = 15.21, p < 0.001, Estimate = 0.187; conditional R 2 = 0.95; marginal R 2 = 0.07; Fig. 4 ).
In contrast, there was a highly significant main effect of ROI (p < 0.001), with GSH levels significantly lower in both motor cortices compared to the cerebellum, consistent with a regionally specific gradient in glutathione concentration.
A multiple regression with latitude and altitude as independent variables was highly significant ( r 2 = 0.68, p < 0.001), but the individual r 2 values for the two variables indicated that latitude had a stronger effect on species richness ( r 2 = 0.64 cf. 0.13).
Interaction term between number of repeated PZQ treatments and chemical environment exposure A highly significant interaction effect ( p < 0.001) was found between repeated PZQ treatments and the use of toxic chemicals.
In group II, there was a highly significant negative correlation between hs-CRP and serum 25(OH)D at baseline (r = −0.832 and p = 0.001) and after two weeks (r = −0.590 and p = 0.021) [ 51 ].
The systemic immune response induced by the rHVT-ND vaccine—that replicates primarily in lymphoid cells—resulted in a strong suppression of the challenge virus dissemination in the body (as indicated by the lack of cloacal shedding in the majority of vaccinated birds), while the suppression of the challenge virus replication on the upper respiratory mucosal surface although was highly significant ( p < 0.001), but less efficient.
The difference in the mean correlation is highly significant (p < 0.001, two sample t tests) for each point (all values of d ) on both curves ( Figure 2D ).
The PTA showed highly significant differences between MD patients and controls ( p < 0.001).
The ROC curve for RPW and secretory activity, with area under curve (AUC) 0.813, 95%CI (0.672–0.953), was statistically highly significant ( p < 0.001), and the cut-off value was 47.5% and above, with a sensitivity of 73.3%, 95%CI (44.9–92.0%), and the specificity was 86.2%, 95%CI (68.3–96.0%).
The highly significant p-value <0.001 suggests there is a less than 0.1% probability that this strong positive relationship occurred by chance.
The results show that the entrepreneurial psychological quality of college students is significantly different in gender, family location, and grade level ( p < 0.05); the main channels of IPE and daily IPE have significant positive effects on the positive entrepreneurship psychological quality ( p < 0.05), and have extremely significant positive effects on the entrepreneurial self-efficacy ( p < 0.001); innovation and entrepreneurship course, innovation and entrepreneurship practices, innovation and entrepreneurship environment, and total score of IEE have significant positive correlations with positive entrepreneurship psychological quality and entrepreneurial self-efficacy of college students ( p < 0.05); and the intermediary effect of entrepreneurial self-efficacy accounts for 33.49% on the IPE and entrepreneurial psychological quality, and 41.85% on IEE and entrepreneurial psychological quality.
Similarly, in the stop button condition the effect of outcome was also highly significant, F (1.345, 166.797) = 14.738, p < .001 ( η 2 = .106) with stereo triplet near-misses significantly larger than either gramophone near-misses ( p < .001) or losses ( p < .001) in the stop button condition.
Assessing the effect direction of the identified neonatal mortality predictors using logistic regression The top three variables most relatively important in the XGBoost model were also highly significant in traditional logistic regression (early breastfeeding, birth weight, and household size, all with p-values <0.001).