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Competitive hybridization models

Physical Review E, 2010
Microarray technology, in its simplest form, allows one to gather abundance data for target DNA molecules, associated with genomes or gene-expressions, and relies on hybridizing the target to many short probe oligonucleotides arrayed on a surface. While for such multiplexed reactions conditions are optimized to make the most of each individual probe ...
Vera, Cherepinsky   +2 more
openaire   +2 more sources

Hybrid spiking models

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010
I review a class of hybrid models of neurons that combine continuous spike-generation mechanisms and a discontinuous ‘after-spike’ reset of state variables. Unlike Hodgkin–Huxley-type conductance-based models, the hybrid spiking models have a few parameters derived from the bifurcation theory; instead of matching neuronal electrophysiology, they match ...
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Hybrid Model of Erythropoiesis

Acta Biotheoretica, 2013
A hybrid model of cell dynamics is presented. It is illustrated by model examples and applied to study erythropoiesis (red blood cell production). In this approach, cells are considered as discrete objects while intra-cellular proteins and extra-cellular biochemical substances are described with continuous models. Spatial organization of erythropoiesis
P, Kurbatova, N, Eymard, V, Volpert
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Hybrid models

2016
Chapter 11 discusses hybrid models, considering electrons as a fluid and following ions as particles.
Taccogna F, Minelli P
openaire   +3 more sources

Hybrid Modeling in Computational Neuropsychiatry

Pharmacopsychiatry, 2008
The aim of building mathematical models is to provide a formal structure to explain the behaviour of a whole in terms of its parts. In the particular case of neuropsychiatry, the available information upon which models are to be built is distributed over several fields of expertise.
Marin-Sanguino, A., Mendoza, E.
openaire   +3 more sources

Physical and hybrid models: hybrid models

2010
The complexity of the circulatory system makes its analysis very difficult or sometimes impossible in clinical environment. Moreover, external actions such as mechanical circulatory or ventilatory assistance applied in cases of cardiovascular insufficiency cause the situation to be even more difficult to be analyzed.
Kozarski Maciej   +4 more
openaire   +2 more sources

Hybrid Modeling

2010
The modeling practices of constraint programming (CP), artificial intelligence, and operations research must be reconciled and integrated if the computational benefits of combining their solution methods are to be realized in practice. This chapter focuses on CP and mixed integer/linear programming (MILP), in which modeling systems are most highly ...
openaire   +1 more source

Hybrid Modeling

2014
Enterprise Interoperability can be identified on cultural, rule, process, data, software, object, social network, services, knowledge, electronic ID, cloud, and ecosystem level, whereas the challenge is the conceptual integration across those layers in a flexible way.
openaire   +1 more source

Functional Hybrid Modeling

2002
The modeling and simulation of physical systems is of key importance in many areas of science and engineering, and thus can benefit from high-quality software tools. In previous research we have demonstrated how functional programming can form the basis of an expressive language for causal hybrid modeling and simulation. There is a growing realization,
Henrik Nilsson   +2 more
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

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