Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
Short-term power load forecasting in China: A Bi-SATCN neural network model based on VMD-SE. [PDF]
Huang Y, Feng Q, Han F.
europepmc +1 more source
ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak +4 more
wiley +1 more source
A lightweight method of integrated local load forecasting and control of edge computing in active distribution networks. [PDF]
Wang Y +6 more
europepmc +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Data driven models on load forecasting: Case study Algeria. [PDF]
Farah R, Farou B, Kouahla Z, Seridi H.
europepmc +1 more source
Dimethyl Fumarate, But Not Rituximab, Reduces Serum GFAP Levels and PIRMA in Relapsing–Remitting MS
ABSTRACT Objective Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) levels are believed to reflect mainly acute and chronic disease processes in multiple sclerosis (MS), respectively. In this study, we investigated whether dimethyl fumarate (DMF) and rituximab (RTX) differentially affect these biomarkers.
F. Shawket +14 more
wiley +1 more source
Deep learning-driven hybrid model for short-term load forecasting and smart grid information management. [PDF]
Wen X, Liao J, Niu Q, Shen N, Bao Y.
europepmc +1 more source
Short-term power load forecasting method based on Bagging-stochastic configuration networks. [PDF]
Pang X, Sun W, Li H, Liu W, Luan C.
europepmc +1 more source
Enhanced LSTM-based robotic agent for load forecasting in low-voltage distributed photovoltaic power distribution network. [PDF]
Zhang X, Wang J, Wang J, Wang H, Lu L.
europepmc +1 more source

