Results 41 to 50 of about 1,572 (217)

Rowmotion Markov chains

open access: yesAdvances in Applied Mathematics
20 pages, 4 figures. The new version introduces and studies toggle Markov chains and proves cutoff for rowmotion Markov chains of Boolean ...
Colin Defant, Rupert Li, Evita Nestoridi
openaire   +3 more sources

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao   +4 more
wiley   +1 more source

Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome

open access: yesAdvanced Science, EarlyView.
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu   +19 more
wiley   +1 more source

Analysis of Exchange Rates as Time-Inhomogeneous Markov Chain with Finite States

open access: yesJournal of Applied Mathematics, 2022
Irrespective of whether the test for homogeneity is significant or not, most researchers assume time-homogeneity in analysing Markov chains due to scanty literature on the analysis of time-inhomogeneous Markov chains.
Felix O. Mettle   +4 more
doaj   +1 more source

Metastable Markov chains [PDF]

open access: yes53rd IEEE Conference on Decision and Control, 2014
In this paper, we discuss the dynamics of metastable systems. Such systems exhibit interesting long-living behaviors from which they are guaranteed to inevitably escape (e.g., eventually arriving at a distinct failure or success state). At the heart of this work, we emphasize (1) that for our goals, hybrid systems can be approximated as Markov Decision
Cenk Oguz Saglam, Katie Byl
openaire   +1 more source

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation

open access: yesAdvanced Science, EarlyView.
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott   +5 more
wiley   +1 more source

Simulated annealing for tensor network states

open access: yesNew Journal of Physics, 2014
Markov chains for probability distributions related to matrix product states and one-dimensional Hamiltonians are introduced. With appropriate ‘inverse temperature’ schedules, these chains can be combined into a simulated annealing scheme for ground ...
S Iblisdir
doaj   +1 more source

On a New Characterization of Harris Recurrence for Markov Chains and Processes

open access: yesMathematics, 2023
This paper shows that Harris recurrent Markov chains and processes can be characterized as the class of Markov chains and processes for which there exists a random time T at which the distribution of the chain or process does not depend on its initial ...
Peter Glynn, Yanlin Qu
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Transformers of markov chains

open access: yesInformation and Control, 1976
We investigate the possibility of synthesizing stable probability distribution generators on the basis of a complete system of deterministic elements and generators of random signals described by nonhomogeneous Markov chains. It is shown that such generators can be obtained by constructing some finite Moore automata with special transition functions ...
openaire   +2 more sources

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