Results 151 to 160 of about 40,691 (307)
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Discretization of a Random Dynamical System Near a Hyperbolic Point
A result of Beyn on the replication of the phase portrait of an ordinary differential equation in the neighborhood of a hyperbolic steady state by a one-step numerical method is generalized under appropriate assumptions to random differential equations ...
Ludwig Arnold, Peter Kloeden
core
Robust prediction of chaotic systems with random errors using dynamical system deep learning
To predict nonlinear dynamical systems, a novel method called the dynamical system deep learning (DSDL), which is based on the state space reconstruction (SSR) theory and utilizes time series data for model training, was recently proposed.
Zixiang Wu +5 more
doaj +1 more source
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro +14 more
wiley +1 more source
Synchronisation of almost all trajectories of a random dynamical system
It has been shown by Le Jan that, given a memoryless-noise random dynamical system together with an ergodic distribution for the associated Markov transition probabilities, if the support of the ergodic distribution admits locally asymptotically stable ...
J Newman (11380334)
core
T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
wiley +1 more source
A variational principle for entropy of a random dynamical system
In this article, I give a definition of topological entropy for random dynamical systems associated to an infinite countable discrete amenable group action.
Lian, Yuan
core
On the dynamical evolution of randomness Part A: Random experiments as dynamical systems
In this work, Bernoulli's Law of Large Numbers, also known as the Golden theorem, has been extended to study the relations between empirical probability and empirical randomness of an otherwise random experiment. Using the example of a coin toss and a dice role, some interesting results are drawn.
Lobo, Allen, Arumugam, Saravanan
openaire +2 more sources
Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs +7 more
wiley +1 more source

