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Displaying 1 –
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1849
In this paper, we introduce a set of methods for processing and analyzing long time series of 3D images representing embryo evolution. The images are obtained by in vivo scanning using a confocal microscope where one of the channels represents the cell nuclei and the other one the cell membranes. Our image processing chain consists of three steps: image filtering, object counting (center detection) and segmentation. The corresponding methods are based on numerical solution of nonlinear PDEs, namely...
We develop, implement and study a new Bayesian spatial mixture
model (BSMM). The proposed BSMM allows for spatial structure in the
binary activation indicators through a latent thresholded Gaussian Markov
random field. We develop a Gibbs (MCMC) sampler to perform posterior
inference on the model parameters, which then allows us to assess the posterior
probabilities of activation for each voxel. One purpose of this article
is to compare the HJ model and the BSMM in terms of receiver operating
characteristics...
The aim of these notes is to illustrate, largely by way of examples, how standard ecological models can be put into an evolutionary perspective in order to gain insight in the role of natural selection in shaping life history characteristics. We limit ourselves to phenotypic evolution under clonal reproduction (that is, we simply ignore the importance of genes and sex). Another basic assumption is that mutation occurs on a time scale which is long relative to the time scale of convergence...
Drinking Water Distribution Systems (DWDSs) play a key role in sustainable development of modern society. They are classified as critical infrastructure systems. This imposes a large set of highly demanding requirements on the DWDS operation and requires dedicated algorithms for on-line monitoring and control to tackle related problems. Requirements on DWDS availability restrict the usability of the real plant in the design phase. Thus, a proper model is crucial. Within this paper a DWDS multi-species...
The aim of this work is to compare a new uncoupled solver for the cardiac Bidomain model with a usual coupled solver. The Bidomain model describes the bioelectric activity of the cardiac tissue and consists of a system of a non-linear parabolic reaction-diffusion partial differential equation (PDE) and an elliptic linear PDE. This system models at macroscopic level the evolution of the transmembrane and extracellular electric potentials of the anisotropic cardiac tissue. The evolution equation is...
A computational framework for testing the effects of cytotoxic molecules, specific to a
given phase of the cell cycle, and vascular disrupting agents (VDAs) is presented. The
model is based on a cellular automaton to describe tumour cell states transitions from
proliferation to death. It is coupled with a model describing the tumour vasculature and
its adaptation to the blood rheological constraints when alterations are induced by VDAs
treatment....
A decision analytical model is presented and analysed to assess the effectiveness and
cost-effectiveness of routine vaccination against varicella and herpes-zoster, or
shingles. These diseases have as common aetiological agent the varicella-zoster virus
(VZV). Zoster can more likely occur in aged people with declining cell-mediated immunity.
The general concern is that universal varicella vaccination might lead to more cases of
zoster: with more...
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