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We have validated the models on a population study of schizophrenia, Alzheimer's disease and Huntington's disease.
The other model we will consider is a susceptible-infected-recovered (SIR) epidemic model on a population of Brownian bugs.
We built a spatially-explicit model for a population of birds in a forested landscape.
In the following, we introduce the model for a population of spiking neurons where independent noise adds or deletes spikes.
The proposed method constructs a GMDH self-organizing network model of a population of promising DE solutions.
We investigate a spatial lattice model of a population employing dispersal to nearest and second-nearest neighbors, as well as long-distance dispersal across the landscape.
The models are: (1) a qualitative model describing the social and psychological complexities of PTSD treatment; (2) a system dynamics model of a population of PTSD patients in the military and the Department of Veterans Affairs (VA); and (3) a Monte Carlo simulation model of PTSD prevalence and clinical demand over time among the OEF/OIF population.
By measuring the response of the circadian rhythm to dark pulses of varying lengths, we constrain a mathematical model of a population's fitness under arbitrary light/dark schedules.
A simulation model of a population of EVs equipped with such control was implemented in Matlab/Simulink platform.
A computational model of a population of thalamocortical relay neurons and presynaptic axons terminating on the neurons was used to identify cellular mechanisms of the observed responses.
In particular, the thinning and shifting model of a population of daughter processes for which the stimulus is solely encoded in the firing rate of the mother process cannot exhibit suprathreshold stochastic resonance.
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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