Results 21 to 30 of about 15,734,175 (308)
BMC Bioinformatics, 2020 Background Network inference is an important aim of systems biology. It enables the transformation of OMICs datasets into biological knowledge.
Antoine Buetti-Dinh +13 more
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Computation, 2020 In this paper, we consider a coupled system of equations that describes simplified magnetohydrodynamics (MHD) problem in perforated domains. We construct a fine grid that resolves the perforations on the grid level in order to use a traditional ...
Valentin Alekseev +4 more
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A regulatory pathway model of neuropsychological disruption in Havana syndrome
Frontiers in Psychiatry, 2023 IntroductionIn 2016 diplomatic personnel serving in Havana, Cuba, began reporting audible sensory phenomena paired with onset of complex and persistent neurological symptoms consistent with brain injury.
Thomas P. Chacko +14 more
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Computational modelling of atherosclerosis [PDF]
Briefings in Bioinformatics, 2015 Atherosclerosis is one of the principle pathologies of cardiovascular disease with blood cholesterol a significant risk factor. The World Health Organisation estimates that approximately 2.5 million deaths occur annually due to the risk from elevated cholesterol with 39% of adults worldwide at future risk.
Andrew Parton +4 more
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Bayesian data selection to quantify the value of data for landslide runout calibration [PDF]
Nonlinear Processes in GeophysicsThe reliability of physics-based landslide runout models depends on the effective calibration of their parameters, which are often conceptual and cannot be physically measured.
V. M. Kumar, A. Yildiz, J. Kowalski
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The ATLAS computing model [PDF]
Journal of Physics: Conference Series, 2008 The ATLAS Offline Computing Model is described. The main emphasis is on the steady state, when normal running is established. The data flow from the output of the ATLAS trigger system through processing and analysis stages is analysed, in order to estimate the computing resources, in terms of CPU power, disk and tape storage and network bandwidth ...
BARBERIS, DARIO, JONES R.
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A Computational Model for Combinatorial Generalization in Physical Perception from Sound
, 2021 Humans possess the unique ability of combinatorial generalization in auditory perception: given novel auditory stimuli, humans perform auditory scene analysis and infer causal physical interactions based on prior knowledge. Could we build a computational
Wu, Jiajun +8 more
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The Nature of Computational Models
Computing in Science & Engineering, 2023 Computational models lie at the heart of computational science. And yet, few scientists have a clear idea of what a computational model actually is. Is it software? Or an algorithm? How does it relate to mathematical models? What are suitable languages or notations for expressing a computational model in the literature?
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OpenFOAM-avalanche 2312: depth-integrated models beyond dense-flow avalanches [PDF]
Geoscientific Model DevelopmentNumerical simulations have become an important tool for the estimation and mitigation of gravitational mass flows, such as avalanches, landslides, pyroclastic flows, and turbidity currents.
M. Rauter, M. Rauter, J. Kowalski
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Typologies of Computation and Computational Models
CoRR, 2013 We need much better understanding of information processing and computation as its primary form. Future progress of new computational devices capable of dealing with problems of big data, internet of things, semantic web, cognitive robotics and neuroinformatics depends on the adequate models of computation.
Mark Burgin, Gordana Dodig-Crnkovic
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