Results 11 to 20 of about 15,734,175 (308)
Keynote lecture. Towards reliability-management for debris flow risk assessment [PDF]
Recent progress in data-integrated simulation methods excelled our understanding of debris flows including triggering mechanisms and dynamic run-out behavior.
Kowalski Julia, Zhao Hu, Yildiz Anil
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Elements of future snowpack modeling – Part 2: A modular and extendable Eulerian–Lagrangian numerical scheme for coupled transport, phase changes and settling processes [PDF]
A coupled treatment of transport processes, phase changes and mechanical settling is the core of any detailed snowpack model. A key concept underlying the majority of these models is the notion of layers as deforming material elements that carry the ...
A. Simson +4 more
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Computational Models in Electroencephalography [PDF]
AbstractComputational models lie at the intersection of basic neuroscience and healthcare applications because they allow researchers to test hypotheses in silico and predict the outcome of experiments and interactions that are very hard to test in reality.
Katharina Glomb +5 more
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Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties [PDF]
Tropospheric ozone is a toxic greenhouse gas with a highly variable spatial distribution which is challenging to map on a global scale. Here, we present a data-driven ozone-mapping workflow generating a transparent and reliable product.
C. Betancourt +9 more
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Cancer stem cells (CSCs) usually account for a very small tumor cell population but play pivotal roles in human cancer development and recurrence. A fundamental question in cancer biology is what genetic and epigenetic changes occur in CSCs. Here we show
Dan Liu +11 more
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A cosmological model with time dependent Λ, G and viscous fluid in general relativity
In this paper, we investigate Bianchi type − V cosmological models with bulk viscous fluid and time varying cosmological Λ and Newtonian G parameters.
Rishi Kumar Tiwari +6 more
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Computational Models of Neuromodulation [PDF]
Computational modeling of neural substrates provides an excellent theoretical framework for the understanding of the computational roles of neuromodulation. In this review, we illustrate, with a large number of modeling studies, the specific computations performed by neuromodulation in the context of various neural models of invertebrate and ...
Jean-Marc Fellous, Christiane Linster
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In this paper, we consider unsaturated filtration in heterogeneous porous media with rough surface topography. The surface topography plays an important role in determining the flow process and includes multiscale features.
Denis Spiridonov +4 more
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Computation modelling is playing an increasingly accepted and important role in neuroscience. It is not a unitary enterprise, though, and the distinction between two different sorts of modelling, one interested in description and the other also in function, is illustrated by their application to activity-dependent developmental plasticity and adult ...
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Computational models of epilepsy [PDF]
Epilepsy is a neurological disease characterized by recurrent and spontaneous seizures. It affects approximately 50 million people worldwide. In majority of the cases accurate diagnosis of the disease can be made without using any technologically advanced techniques and seizures are controlled using standard treatment in the form of regular use of anti-
Stefanescu, Roxana A. +2 more
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