Sentence examples for decay of populations from inspiring English sources

Exact(1)

This is because that the growth or decay of populations depends on oscillation patterns of the resource concentration (as an example of the oscillation profile, see Fig. 3).

Similar(57)

Here, ( {gamma}_ikern0.5em =kern0.5em frac{1}{2}{varGamma}_{is}+{gamma}_{i0}^d lefthekern0.5em =kern0.5em 1hbox 3rightypical theffective effective decay rate, with Γ i0 being the radiative decay rate of populations from |i〉 → |0〉 and ( {gamma}_{i0}^d ) being the pure dephasing rates.

We can imagine that fitness may drop and then level off, possibly at a level sufficient to sustain long-term survival, or, alternatively, the decay of the population can be overcome by a large population size.

In reality, this type of equation may not accurately describe the growth or decay of a population for all time.

Such a network can maintain a range of different firing rates indefinitely by providing excitatory feedback that perfectly counteracts the natural decay of the population firing rate.

Finally, nitric oxide stimulates mitochondrial biogenesis by increasing PGC 1α coactivator and thus could compensate mitochondrial dysfunction in the early metabolic syndrome, while reduced biogenesis with further decay of mitochondrial population has been reported in already established type 2 diabetes [41].

The point at which the LOESS curve intercepts the critical r2 is determined as the average LD decay of the population.

This is due to a lag effect in the left tail: the decay of the population in the region that was favorable until recently may be slow while meanwhile, the rise of the population in the right region that just became favorable is relatively fast.

The picture emerging from modeling indicates that production of growth factors by cells may lead to diffusion-driven instability, which in turn may lead either to decay of both population, or to emergence of local growth foci represented by spike-like solutions.

A multilocus estimate of the decay of LD within populations was strikingly different from the merged data set, with LD extending from 705 bp in SE-61 to 4580 bp in FI-67 before falling under r values of 0.2.

The data show that the decay of the trapped population is characterized by a single exponential that, when corrected for collision-induced loss, yields a mean ion lifetime τ∼85 μs.

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