Several LDVs, mostly phages, showed strong global strand asymmetry with a monotonous increase (or decrease) of the cumulative GT-excess curve along their entire genome.
For other LDVs, the GT-excess curves locally fluctuated with no long genomic segments exhibiting a consistent compositional asymmetry.
Researchers have long speculated (3 ) that preexisting H1 antibody among the elderly in 1918 accounted for the well-known "W" excess death curve (37 ).
Although it is not possible to reproduce the asymmetry of the excess volume curves, the model accounts for the pressure dependence of the volume.
In the presence of excess PSA (solid curve with data points), the resulting mobility spectrum was fit with a curve that represented the weighted sum of the curves of three proteinaceous species: 0.67 nM unliganded antibody at 150 kDas; 2.19 nM monoliganded antibody at 176 (150 + 26) kilodaltons (dashed curve a); and 7.14 nM diliganded antibody at 210 (150 + 60) kilodaltons (dashed curve b).
To test for difference in the shape of excess mortality risk curves, root mean square errors between curves were calculated.
The four patterns of excess mortality risk curves remained the same, with no new patterns or new DRGs emerging with a weekend effect.
We computed excess mortality risk curves for weekend over weekday admissions, adjusting for age, sex, comorbidity (Charlson index) and diagnostic group.
Analysis of individual excess mortality risk curves for these 16 DRGs revealed a variety of temporal patterns (figure 2 and supplementary figure S2 in online appendix): Care effect (H1): Two patterns demonstrated a brief rise in mortality associated with weekend admission: An early risk pattern in which the majority of excess deaths occurred within the first 24 h after admission.
27 Excess mortality risk curves, e(t), were the result of subtracting the probabilities of dying, f(t), if admitted on weekend or weekday, e(t)= fweekend(t) − fweekday(t)), at each day post-admission from admission to day 7 after admission, t=0…7.
