Results 161 to 170 of about 15,642,613 (349)
BuildingsThe nonlinearity and randomness in composite materials such as concrete present challenges regarding the safety analysis and reliability-based design of structures.
Guangda Lu, Jiankang Xie
doaj +1 more source
A spatial copula interpolation in a random field with application in air pollution data. [PDF]
Model Earth Syst Environ, 2023 Thakur D, Das I, Chakravarty S.
europepmc +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.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
LiDAR-camera fusion for road detection using a recurrent conditional random field model. [PDF]
Sci Rep, 2022 Wang L, Huang Y.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting. [PDF]
Spat Stat, 2023 MacNab YC.
europepmc +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Reference fields analysis of a Markov random field model to improve image segmentation [PDF]
, 2010 In Markov random field (MRF) models, parameters such as internal and external reference fields are used. In this paper, the influence of these parameters in the segmentation quality is analyzed, and it is shown that, for image segmentation, a MRF model ...
ERIKA DANAE LOPEZ ESPINOZA +1 more
core
Probabilistic edge inference of gene networks with markov random field-based bayesian learning. [PDF]
Front Genet, 2022 Huang YJ, Mukherjee R, Hsiao CK.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.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