NDST3‐Induced Epigenetic Reprogramming Reverses Neurodegeneration in Parkinson's Disease
NDST3‐mediated epigenetic reprogramming revitalizes neuronal circuits in the substantia nigra and striatum to halt dopaminergic neuron degeneration and restore motor function in Parkinson's disease models. This strategy promotes neuronal maintenance and functional recovery, highlighting NDST3's therapeutic potential in neurodegenerative disorders ...
Yujung Chang +18 more
wiley +1 more source
LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans. [PDF]
Khan AH, Li J, Asghar MN, Iqbal S.
europepmc +1 more source
A Review on Biodegradable Materials of Sustainable Soft Robotics and Electronics
Biodegradable materials are gaining increasing attention in soft robotics and electronics due to their environmental friendliness, showing great potential for sustainability. In this review, the classification of biodegradable materials, their applications in the field of soft robotics and electronics, as well as the challenges and future prospects ...
Yizhu Xie +8 more
wiley +1 more source
Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du +5 more
wiley +1 more source
Coal Air-Dry Basis Sulfur Content Detection Model Based on Hippopotamus Optimization Algorithm and Two Hidden Layer Extreme Learning Machine. [PDF]
Liu D, Tian J, Zhu Z, Huang J, Xiao D.
europepmc +1 more source
A quasi‐periodic porous structure‐based temperature and pressure dual‐mode electronic skin was proposed. Benefiting from the quasi‐periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure. By analyzing the thermoelectric and
Xiaoguang Gao +5 more
wiley +1 more source
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
Traffic flow prediction based on improved deep extreme learning machine. [PDF]
Tian X +5 more
europepmc +1 more source
AI‐Optimized Vanadium Oxide Multilayers for More Than 20‐fold Enhancement in Bolometric Performance
Machine‐learning‐optimized WxV1‐xOy multilayer thin films with graded doping achieve a high TCR (7.3 % K−1), reduced hysteresis, and low noise under CMOS‐compatible growth conditions. This approach overcomes the long‐standing trade‐off in microbolometers between linear response and performance, offering a universal bolometric parameter greatly enhanced
Jin‐Hyun Choi +8 more
wiley +1 more source
A combined improved dung beetle optimization and extreme learning machine framework for precise SOC estimation. [PDF]
Yao K +6 more
europepmc +1 more source

