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We demonstrate that this mechanism explains major neurophysiological hallmarks of selective attention, including multiplicative neural gain, increased inter-trial reliability (decreased variability), and reduced noise correlations.
It was found that reliability decreased nonlinearly as a function of time, while the most significant parameters were concrete cover, load ratio, fire type, end restraints, and proportion of end strands to total strands.
Based on our proposed method, reliability decreased throughout the questionnaire for the Combined emotive scale.
However, the overall residual means and standard deviations did not improve (omitting item 9: mean [SD], -0.498 [1.171]; omitting item 24: mean [SD], -0.494 [1.282]) and reliability decreased slightly (omitting item 9: 0.831; omitting item 24: 0.840).
In contrast, the mean Mendelian sampling estimate and the bias were significantly different from zero, true reliability decreased and MSE increased, when genomic pre-selection of sires was applied (GPS population) but not accounted for in the evaluation (GPS_no scenario).
Table 2 shows that reliability decreased when less than 3 generations of pedigree data were used, and the reliability of the prediction increased only very slightly when the number of generations of pedigree used was greater than 3. Table 3 shows variance components estimated by ASReml using IBS, IBD and IBS + IBD information.
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Accordingly, the instantaneous network reliability decreases with the time increasing.
The component reliability decreases with time in the long run.
The data reliability decreases if more BMSs contend to access a slot.
Although increased reliability decreases false alarms and costly emergency response, reliability cannot be equated with safety.
The instantaneous network reliability decreases with the increase of time which has been explained in the above paragraph.
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