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
Comprehensive Parameter Determination of Exoplanets through Asteroseismic Host Star Constraints
This study develops a robust framework for exoplanet characterization by leveraging asteroseismic constraints on host stars. Using precise photometric data from missions such as Kepler and TESS, we derive stellar parameters, including mass, radius, and ...
Wen-Xu Lin +7 more
doaj +1 more source
Seismic Multi-Parameter Full-Waveform Inversion Based on Rock Physical Constraints
Seismic multi-parameter full-waveform inversion (FWI) integrating velocity and density parameters can fully use the kinematic and dynamic information of observed data to reconstruct underground models. However, seismic multi-parameter FWI is a highly ill-
Cen Cao, Deshan Feng, Jia Tang, Xun Wang
doaj +1 more source
Error Modeling and Parameter Identification for Robots Based on Point-sphere Constraints
Automated assembly puts forward high requirements for the absolute positioning accuracy of the robot. There is always a certain error between the theoretical and actual poses of the robot, and too low absolute positioning accuracy will be likely to cause
Yi LIU +5 more
doaj
CONSTRAINTS ON THE COSMOLOGICAL DENSITY PARAMETERS AND COSMIC TOPOLOGY [PDF]
A nontrivial topology of the spatial section of the universe is an observable which can be probed for all homogeneous and isotropic universes, without any assumption on the cosmological density parameters. We discuss how one can use this observable to set constraints on the density parameters of the universe by using a specific spatial topology along ...
openaire +3 more sources
Learning Parameters for the Sequence Constraint from Solutions [PDF]
This paper studies the problem of learning parameters for global constraints such as Sequence from a small set of positive examples. The proposed technique computes the probability of observing a given constraint in a random solution. This probability is used to select the more likely constraint in a list of candidates.
Émilie Picard-Cantin +3 more
openaire +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
Author Correction: Trade-offs between parameter constraints and model realism: a case study. [PDF]
Jehn FU, Chamorro A, Houska T, Breuer L.
europepmc +1 more source
Bi‐ and Mono‐Allelic RFC1 Expansion in a North American Cohort With Idiopathic Axonal Neuropathy
ABSTRACT Objective RFC1 biallelic repeat expansion is increasingly recognized as a cause of chronic idiopathic axonal polyneuropathy (CIAP), but it remains challenging to know who to test. This study aims to determine the prevalence of biallelic and monoallelic RFC1 expansions and their corresponding neuropathy phenotypes in CIAP patients and identify ...
Amro M. Stino +25 more
wiley +1 more source
Parameter constraints on Horndeski rotating black hole through quasiperiodic oscillations
In this paper, we perform small perturbations around the circular timelike orbit in the equatorial plane of the Horndeski rotating black hole, and analyze the effects of Horndeski hair on the three fundamental frequencies of the epicyclic oscillations ...
Meng-He Wu, Hong Guo, Xiao-Mei Kuang
doaj +1 more source

