Whole‐Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies
ABSTRACT Objective To characterize whole‐body intramuscular fat distribution pattern in patients with sarcoglycanopathies and explore correlations with disease severity, duration and age at onset. Methods Retrospective, cross‐sectional, multicentric study enrolling patients with variants in one of the four sarcoglycan genes who underwent whole‐body ...
Laura Costa‐Comellas +39 more
wiley +1 more source
Physics-constrained transformer for wind power forecasting. [PDF]
Wang D, Luo Q, Gao J, Zhang D, Chen Y.
europepmc +1 more source
A novel Bayesian ensembling model for wind power forecasting. [PDF]
Tang J, Hu J, Heng J, Liu Z.
europepmc +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
A hybrid TimeGAN-xLSTM-Transformer framework for photovoltaic power forecasting under complex environmental conditions. [PDF]
Chu B +7 more
europepmc +1 more source
DTTrans: PV Power Forecasting Using Delaunay Triangulation and TransGRU. [PDF]
Song K +4 more
europepmc +1 more source
Traumatic Microhemorrhages Are Not Synonymous With Axonal Injury
ABSTRACT Diffuse axonal injury (DAI) is caused by acceleration‐deceleration forces during trauma that shear white matter tracts. Susceptibility‐weighted MRI (SWI) identifies microbleeds that are considered the radiologic hallmark of DAI and are used in clinical prognostication.
Karinn Sytsma +9 more
wiley +1 more source
Short-term PV power forecasting based on combined SOM-FCM and KELM method
A hybrid forecasting model was proposed to improve the accuracy of short-term photovoltaic (PV) power generation forecasting, which combined the clustering of trained self-organizing map(SOM) network and optimized kernel extreme learning machine(KELM ...
LIU Qibo, LI Jun
doaj
Fast-powerformer achieves accurate and memory-efficient mid-term wind power forecasting. [PDF]
Zhu M, Li Z, Lin Q, Ding L.
europepmc +1 more source
Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks. [PDF]
Sharma N +5 more
europepmc +1 more source

