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In contrast, Arien et al [36] have shown that HIV viruses are increasingly less fit over time in the human host.
The overall idea that viruses are adapting to more efficiently evade the human immune system across time of HIV/AIDS worldwide epidemic implies that they are increasingly more fit over time.
Instead, we use the fitted values obtained at the last day of each fit over time to chose ρ.
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As individuals get fitter over time, mutants are less likely to retain full fitness or increase their fitness, which is visible as the lowering of the peak at 1 and less pronounced right tails of the distribution, for both types of mutations in the later time intervals.
"Being fit and maintaining fitness over time are very important to your heart and overall health for everyone – especially starting in early adulthood – and not only for people who are trying to lose or to maintain weight," Murthy said by email.
Four pairs of sources were fit sequentially over time at latencies of the P1, N170/VPP, and P2 components, then adjusted in an iterative manner until they localized to stable locations and orientations, with the best temporal separation of source waveforms and as little interaction between sources as possible.
The hourly sentiment indices of fear (and joy) before, during and after the Boston bombings are shown in smooth fitted curves over time (in UTC) with shaded area indicating a 95% confidence region.
In prior studies, we found that person occupation fit had an overall strong positive effect on socialization outcomes and that, overall, the person occupation fit increased over time (Nägele and Neuenschwander 2015).
This argument states that even if the populations (lineages) with increased accumulation of buffered mutations would be less fit over short time scales, they would eventually win because of their supremacy during periods of rapid adaptation.
The selective sweep hypothesis is particularly attractive; a highly fit genotype over time will increase its frequency relative to other genotypes and may occupy larger geographic areas.
We used linear mixed effects models to fit response trends over time and to determine treatment group effects (i.e. interaction of treatment X period).
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