Results 11 to 20 of about 26,194,619 (388)
Computational Models in Electroencephalography [PDF]
Brain Topography, 2021 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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Cardiac computational modelling
Revista Española de Cardiología (English Edition), 2021 Cardiovascular diseases currently have a major social and economic impact, constituting one of the leading causes of mortality and morbidity. Personalized computational models of the heart are demonstrating their usefulness both to help understand the mechanisms underlying cardiac disease, and to optimize their treatment and predict the patient's ...
Bragard, Jean R. +8 more
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Computational Modeling: Human Dynamic Model [PDF]
Frontiers in Neurorobotics, 2020 Improvements in quantitative measurements of human physical activity are proving extraordinarily useful for studying the underlying musculoskeletal system. Dynamic models of human movement support clinical efforts to analyze, rehabilitate injuries.
Lijia Liu +3 more
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Sculpting Computational‐Level Models [PDF]
Topics in Cognitive Science, 2017 AbstractIn this commentary, I advocate for strict relations between Marr's levels of analysis. Under a strict relationship, each level is exactly implemented by the subordinate level. This yields two benefits. First, it brings consistency for multilevel explanations.
Blokpoel, M., Blokpoel, M.
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Computational Neurology: Computational Modeling Approaches in Dementia [PDF]
, 2021 Dementia is a collection of symptoms associated with impaired cognition and impedes everyday normal functioning. Dementia, with Alzheimer's disease constituting its most common type, is highly complex in terms of etiology and pathophysiology. A more quantitative or computational attitude towards dementia research, or more generally in neurology, is ...
Wong-Lin, KongFatt +16 more
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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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SIMULATION OF DISTANCE BETWEEN FIELD AND REPLENISHMENT PUMP IN MECHANIZED SPRAYING OF SUGARCANE (Saccharum spp.) [PDF]
Engenharia Agrícola, 2018 Brazil is the world's largest producer of sugarcane destined for mills. Spraying in sugarcane plantations is carried out in extensive cultivation areas and with self-propelled, tractor-driven, and aerial hydraulic equipment.
Neisvaldo B. dos Santos
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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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Current Opinion in Neurobiology, 1994 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 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.
Parton, Andrew +4 more
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