Results 31 to 40 of about 337,305 (266)
Uncovering the heterogeneity of a solar flare mechanism with mixture models
Frontiers in Astronomy and Space SciencesThe physics of solar flares occurring on the Sun is highly complex and far from fully understood. However, observations show that solar eruptions are associated with the intense kilogauss fields of active regions, where free energies are stored with ...
Bach Viet Do +4 more
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Mathematical modelling of tissue formation on the basis of ordinary differential equations
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2017 A mathematical model is proposed for describing the population dynamics of cellular clusters on the basis of systems of the first-order ordinary differential equations.
Maxim N Nazarov
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Collaborative hierarchical sparse modeling [PDF]
2010 44th Annual Conference on Information Sciences and Systems (CISS), 2010 To appear in CISS ...
Sprechmann, Pablo +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely cancer diagnosis in children and adolescents is important to improving outcomes. We aimed to quantify time to diagnosis and assess variations by patient, demographic and system‐level factors. Procedure We conducted a population‐based study of individuals aged 0–19 years diagnosed with one of 12 cancers from 2010 to 2022 in ...
Callum Mullen +5 more
wiley +1 more source
Bayesian Hierarchical Random Effects Models in Forensic Science
Frontiers in Genetics, 2018 Statistical modeling of the evaluation of evidence with the use of the likelihood ratio has a long history. It dates from the Dreyfus case at the end of the nineteenth century through the work at Bletchley Park in the Second World War to the present day.
Colin G. G. Aitken
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Spatio-Temporal Hierarchical Feature Engineering for Forecasting of Urban Footfall
Applied SciencesPatterns of footfall counts in urban environments show regularity at various spatial and temporal scales. In this work, we study a lightweight hierarchical approach in which forecasts use four lagged higher-level aggregates as predictors trained with ...
Tom Komar, Philip James
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Bottom-up learning of hierarchical models in a class of deterministic POMDP environments
International Journal of Applied Mathematics and Computer Science, 2015 The theory of partially observable Markov decision processes (POMDPs) is a useful tool for developing various intelligent agents, and learning hierarchical POMDP models is one of the key approaches for building such agents when the environments of the ...
Itoh Hideaki +3 more
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Modelling hierarchical flocking
New Journal of Physics, 2019 Abstract We present a general framework for modeling a wide selection of flocking scenarios under free boundary conditions. Several variants have been considered—including examples for the widely observed behavior of hierarchically interacting units. The models we have simulated correspond to classes of various realistic situations.
Yongnan Jia, Tamas Vicsek
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FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source