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A spatially explicit, population-based density-independent matrix model was used to analyse the effect of landscape composition on the spatial asymptotic distribution of a population.
To investigate this, a deterministic stage-based population projection matrix model was developed using (a) long term baobab monitoring data from 2 sites, (b) radiocarbon age calculations, (c) extensive field surveys of population structure and fruit (and seed) production, and (d) experimental field trials on seed banks and seedling and sapling survival in relation to the presence of livestock.
Wigner's random matrix model was very successful in describing the energy spectra of complex quantum systems.
Finally, the best fitting Q matrix model was selected on a diverse set of fit indices.
According to the concept of the influence function, the control matrix model was established based on the increment relationship between the control means and the shape standard patterns.
This matrix model was used to illustrate the relationship between fecundity (reproductive rate) and population health, which has been shown to vary depending on life history strategy [19] [21].
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Then the matrix model is developed for computer processing.
In addition to the implications of this research for cancer biology, the development of the alginate-based extracellular matrix model is also significant.
A matrix model is introduced and analysed then a design algorithm is demonstrated.
The nested collagen matrix model is a relatively easy, rapid and quantitative method to measure migration of cell populations.
A diameter transition matrix model is then used to simulate and compare outcomes of different cutting intensities and cycles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com