Results 71 to 80 of about 20,283,454 (331)
Applied SciencesMuch of Japan’s social infrastructure was concentrated during the period of rapid economic growth around the 1970s and is now facing the serious problem of simultaneous aging.
Yasuko Kawahata +2 more
doaj +1 more source
Exact finite approximations of average-cost countable Markov Decision Processes [PDF]
, 2007 For a countable-state Markov decision process we introduce an embedding which produces a finite-state Markov decision process. The finite-state embedded process has the same optimal cost, and moreover, it has the same dynamics as the original process ...
Leizarowitz, Arie, Shwartz, Adam
core
Markov Process of Muscle Motors
, 2007 We study a Markov random process describing a muscle molecular motor behavior. Every motor is either bound up with a thin filament or unbound. In the bound state the motor creates a force proportional to its displacement from the neutral position.
E Pechersky +5 more
core +1 more source
Advanced Science, EarlyView.Zhang et al. identify M7core, a critical cGAS‐STING pathway‐driven gene signature that is activated in most lupus patients’ blood and links to lupus disease severity, lymphopenia, and lupus nephritis. They further reveal the diagnostic and pathogenic characteristics of M7core and emphasize the importance of assessing pathway activity before initiating ...
Lele Zhang +13 more
wiley +1 more source
CHARACTERISTICS OF A RANDOM PROCESS IN PROBLEMS OF COMPUTER MODELING AND ENTROPY ANALYSIS OF SYSTEMS
Надежность и качество сложных систем, 2021 Background. The present time is characterized by the intensive development of the means of informatization of society, the widespread introduction of digital systems and computer technologies with support for managerial decision-making.
A.V. Poltavskiy +2 more
doaj +1 more source
Bayesian selection of Markov models for symbol sequences: application to microsaccadic eye movements. [PDF]
PLoS ONE, 2012 Complex biological dynamics often generate sequences of discrete events which can be described as a Markov process. The order of the underlying Markovian stochastic process is fundamental for characterizing statistical dependencies within sequences.
Mario Bettenbühl +3 more
doaj +1 more source
Markov processes follow from the principle of Maximum Caliber
, 2011 Markov models are widely used to describe processes of stochastic dynamics. Here, we show that Markov models are a natural consequence of the dynamical principle of Maximum Caliber.
Brockwell P. J. +6 more
core +1 more source
Advanced Science, EarlyView.A novel root‐shoot‐root signaling relay, mediated by CLE peptides, coordinates drought adaptation in common bean. Root‐derived PvCLE11b translocates acropetally to leaves, inducing PvCLE16 expression via PvTCP10. Leaf‐accumulated PvCLE16 triggers stomatal closure and translocates basipetally to modulate root architecture.
Xinyang Wu +12 more
wiley +1 more source
Investigation of insertion tableau evolution in the Robinson-Schensted-Knuth correspondence
Discrete and Continuous Models and Applied Computational Science, 2019 Robinson-Schensted-Knuth (RSK) correspondence occurs in different contexts of algebra and combinatorics. Recently, this topic has been actively investigated by many researchers.
Vasilii S. Duzhin
doaj +1 more source
Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling
Advanced Science, EarlyView.Phase separation is emerging as a multiscale organizing principle of genome folding across scales, from nucleosomes and transcriptional condensates to chromatin domains and nuclear compartments. By integrating physics‐based simulations with data‐driven inference, computational modeling now links molecular interactions to nuclear architecture and points
Jiahu Tang +3 more
wiley +1 more source