Results 41 to 50 of about 399,077 (314)
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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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
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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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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The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome
FEBS Letters, EarlyView.This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
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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From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 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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Learning hierarchical models of activity [PDF]
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005 This paper investigates learning hierarchical statistical activity models in indoor environments. The abstract hidden Markov model (AHMM) is used to represent behaviors in stochastic environments. We train the model using both labeled and unlabeled data and estimate the parameters using expectation maximization (EM). Results are shown on three datasets:
Sarah Osentoski +2 more
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