Results 1 to 10 of about 6,747 (192)
RRW: repeated random walks on genome-scale protein networks for local cluster discovery [PDF]
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 +7 more sources
Repeated bond traversal probabilities for the simple random walk [PDF]
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.
Tibor Antal +2 more
openalex +5 more sources
Repeated Quantum Interactions and Unitary Random Walks [PDF]
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
openalex +5 more sources
Repeated measurements and random scattering in quantum walks [PDF]
Abstract We study the effect of random scattering in quantum walks on a finite graph and compare it with the effect of repeated measurements. To this end, a constructive approach is employed by introducing a localized and a delocalized basis for the underlying Hilbert space.
K. Ziegler
+6 more sources
Uncertainty Relation between Detection Probability and Energy Fluctuations
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.
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
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
Impact of mobile phone use on accidental falls risk in young adult pedestrians
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
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
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

