Ai Feedback
Exact(4)
We introduce a probability model for populations of cells and viruses that interact in the presence of an anti-viral agent.
Fig. 2 (a) Population spike-count distributions (P_{mathrm{EIF}} k)) for the EIF and (P_{mathrm{PME}} k)) for the pairwise maximum entropy (PME) model, for populations of (N= 8, 32, 64), and 100 neurons.
In addition, a recently implemented model for populations with low genetic divergence was used (Hubisz et al., 2009).
Furthermore, a combined contribution of Krakow's heating sources (i.e., coal burning), industrial activity, geographic terrain, and meteorologic conditions limit the generalizability of the model for populations in other locations.
Similar(56)
Fig. 2 Adaptive landscape model for population genetics (from Wright 1932).
Such analyses require many assumptions, including a model for population change and a model for variance.
The concept of random deaths in a computational model for population dynamics is critically examined.
It has been known that the nonlocal source term presents a more realistic model for population dynamics, see [1 3].
As an application, we use the model for population predication in three data sets, and it can achieve a prediction accuracy between 86.14% and 99.89%.
This extraordinary degree of polymorphism together with signatures of selection in specific amino acids sites makes the donkey DRA gene a suitable model for population diversity studies.
Due to its geographic distribution (five enzootic regions across USA and Canada, three permanent European foci) and invasive character, F. magna is an interesting model for population genetics.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com