Results 1 to 10 of about 6,849 (89)

RRW: repeated random walks on genome-scale protein networks for local cluster discovery [PDF]

open access: yesBMC Bioinformatics, 2009
Background We propose an efficient and biologically sensitive algorithm based on repeated random walks (RRW) for discovering functional modules, e.g., complexes and pathways, within large-scale protein networks.
Can Tolga, Macropol Kathy, Singh Ambuj K
doaj   +6 more sources

Repeated Quantum Interactions and Unitary Random Walks [PDF]

open access: yesJournal of Theoretical Probability, 2010
Among the discrete evolution equations describing a quantum system $\rH_S$ undergoing repeated quantum interactions with a chain of exterior systems, we study and characterize those which are directed by classical random variables in $\RR^N$. The characterization we obtain is entirely algebraical in terms of the unitary operator driving the elementary ...
Stéphane Attal, Ameur Dhahri
exaly   +4 more sources

Uncertainty Relation between Detection Probability and Energy Fluctuations

open access: yesEntropy, 2021
A classical random walker starting on a node of a finite graph will always reach any other node since the search is ergodic, namely it fully explores space, hence the arrival probability is unity.
Felix Thiel   +3 more
doaj   +1 more source

Reliability of gamified reinforcement learning in densely sampled longitudinal assessments.

open access: yesPLOS Digital Health, 2023
Reinforcement learning is a core facet of motivation and alterations have been associated with various mental disorders. To build better models of individual learning, repeated measurement of value-based decision-making is crucial.
Monja P Neuser   +5 more
doaj   +1 more source

Perturbation-Based Balance Training Using Repeated Trips on a Walkway vs. Belt Accelerations on a Treadmill: A Cross-Over Randomised Controlled Trial in Community-Dwelling Older Adults

open access: yesFrontiers in Sports and Active Living, 2021
Background: Walkway and treadmill induced trips have contrasting advantages, for instance walkway trips have high-ecological validity whereas belt accelerations on a treadmill have high-clinical feasibility for perturbation-based balance training (PBT ...
Patrick Y. H. Song   +9 more
doaj   +1 more source

Repeated bond traversal probabilities for the simple random walk [PDF]

open access: yesJournal of Physics A: Mathematical and General, 2002
We consider the average number B_m(t) of bonds traversed exactly m times by a t step simple random walk. We determine B_m(t) explicitly in the scaling limit t -> oo with m/sqrt(t) fixed in dimension d=1 and m/log(t) fixed in dimension d=2. The scaling function is an erfc in d=1 and an exponential in d=2.
Antal, T.   +2 more
openaire   +3 more sources

Impact of mobile phone use on accidental falls risk in young adult pedestrians

open access: yesHeliyon, 2023
Background: Mobile phone use is known to be a distraction to pedestrians, increasing their likelihood of crossing into oncoming traffic or colliding with other people.
Paulo H.S. Pelicioni   +6 more
doaj   +1 more source

Understanding how virtual reality forest experience promote physiological and psychological health for patients undergoing hemodialysis

open access: yesFrontiers in Psychiatry, 2022
Growing research has found that exposing patients to forest landscapes through technology improves their health. However, studies on the effects of nature therapy sessions on particularly vulnerable groups that require frequent regular treatment such as ...
Chung-Heng Hsieh, Dongying Li
doaj   +1 more source

The variability of dual‐task walking parameters using in‐shoe inertial sensors in nonconcussed individuals: A randomized within‐subject repeated measures design

open access: yesHealth Science Reports, 2023
AbstractBackground and AimsThere is a need for high utility and portability, and cost‐effective technologies that are suitable for assessing dual‐task gait after experiencing a concussion. Current technologies utilized such as 3D motion capture and force plates are too complex and expensive for most practitioners.
Courtney Mitchell, John Cronin
openaire   +4 more sources

Bayesian inference of transition matrices from incomplete graph data with a topological prior

open access: yesEPJ Data Science, 2023
Many network analysis and graph learning techniques are based on discrete- or continuous-time models of random walks. To apply these methods, it is necessary to infer transition matrices that formalize the underlying stochastic process in an observed ...
Vincenzo Perri   +2 more
doaj   +1 more source

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