Barely Significant

Excerpts

514,629 sentences

highly significantp<0.0010.0× alphaqualifiedgold
The total duration of motor block was longest in Group D (405.7±16 minutes) and Group N (257±13.4 minutes) and shortest in Group C (255.7±11 minutes), found to be statistically very highly significant (p<0.001) in Group D as compared to Group C and Group D as compared to Group N. while the mean values of duration of motor block were comparable in Group C and Group N, which were statistically not significant (p > 0.05; Table 2 ).
only marginally significantp < .0010.0× alphagold
Constant drift stimuli ((CS1 + CL1) − (CS0 + CL0)) revealed only marginally significant activations on the left and right lateral lobe of the cerebellum ( p < .001 uncorrected, left: peak coordinate [−22 −66 −24], t (1, 22) = 5.51; right: peak coordinate [36 −60 −24,] t (1, 22) = 3.86) and the right putamen ( p < .001 uncorrected, peak coordinate [30 −2 10], t (1, 22) = 3.93).
exceedingly significantP < 0.0010.0× alphaqualified
Subsequent to comprehensive adjustment for covariates, notable increases in mortality risk emerged for both the second (Q2) and third (Q3) quartiles (P < 0.05), while the risk in the fourth quartile (Q4) demonstrated an exceedingly significant surge (P < 0.001).
highly significantp <0.0010.0× alphaqualifiedgold
The fitted model, for which a difficulty level of “none” was set as the reference group, was highly significant ( χ 2 =45.3, p <0.001), and the results showed that (1) compared with knowledge pattern I, all the other patterns predicted less difficulty sleeping, which was significant for the very difficult group ( p =0.017) and nonsignificant for somewhat difficult; (2) compared with a deficient level of slee
highly significantp < 0.0010.0× alphaqualifiedgold
None of these announced activities would actually take place, and while participants prepared for them they were asked to take part in an allegedly separate experiment on economic decisions (see Methods). Results Validation of the motive inductions A linear mixed effect model on change in motivational and affective ratings (i.e., difference scores between post-induction and pre-induction ratings) resulted in a highly significant interaction between the induction and the motive/affective state (F (16,1536) = 4.59, p < 0.001), suggesting that the latter were differentially affected by the inductions (Fig. 1 , panel B).
highly significantp = 0.0010.0× alphaqualifiedgold
The bias of the three coefficients was negligible and the p values remained highly significant: • Constant: Bias −0.033, standard error 0.229, 95% CI –3.90 to −2.96, p = 0.001 • SRM: Bias −0.058, standard error 1.51, 95% CI 1.26–7.30, p = 0.004 • DPR: Bias 0.238, standard error 1.55, 95% CI 2,89–8.96, p = 0.001 The MDPI was tested for discrimination using an ROC analysis ( Figure 2 ), in comparison with the other three existing CSA-AKI predictive models.
highly significantp < 0.0010.0× alphaqualifiedgold
The ANOVA results were highly significant for the variability in spike numbers between cells (CV b ; F (29,1420) = 32.04, p < 0.001) and differences in spike numbers between WT and KO for older animals ( F (1,1420) = 209.9, p < 0.001), but across-trial comparisons did not exhibit a significant difference ( F (24,1420) = 0.15, p = 1).Thus, there is an increase in spike variability with lowered spiking precision for adult KO mice compared with juvenile KO mice.