Results 81 to 90 of about 9,064 (165)

A Miniaturized Optical Bioassay Towards Early‐Stage Diagnosis of Cancer Using Immunosensing of Biomarkers (CA 15.3, PSA and CEA) by Toluidine Blue‐Decorated Poly(Methyl Methacrylate): Proof of Concept

Analytical Science Advances, Volume 6, Issue 2, December 2025.
ABSTRACT The current study evaluated the application of a novel and advanced photochemical biosensing platform for the detection of multiple biomarkers of prostate‐specific antigen (PSA), carcinoembryonic antigen (CEA) and cancer antigen 15–3 (CA 15.3) in human plasma samples using optical biomedical analysis.
Seyyed Mohammad Yaghoubi, Hamed Bahari, Mohammad Hasanzadeh, Nasrin Shadjou   +3 more
wiley   +1 more source

Oligodendrocyte Precursor Cells in Demyelination Repair: Mechanisms, Crosstalk, and Therapeutic Frontiers

Medicine Bulletin, Volume 1, Issue 2, Page 104-120, December 2025.
ABSTRACT In multiple sclerosis (MS), demyelination is often accompanied by severe motor and cognitive disability. Remyelination is the process of regenerating new myelin sheath on impaired axons, which is typically carried out by oligodendrocyte precursor cells (OPCs).
Zixin Gao, Mengdi Guo, Kehan Chen, Mei‐Ling Jiang, Lin‐ming Zhang, Lorenzo Di Cesare Mannelli, Cun‐jin Zhang   +6 more
wiley   +1 more source

Unsupervised Online Learning for Substation Equipment Defect Identification Based on SoftHebb

Energy Internet, Volume 2, Issue 4, Page 287-296, December 2025.
ABSTRACT With the advancement of artificial intelligence, deep learning algorithms have increasingly been adopted for defect detection in substation equipment. However, a widely recognised limitation of such models is their inability to learn autonomously over time, resulting in performance degradation when faced with changing data distributions—a ...
Zhisong Zhang, Guoliang Zhang, Peng Zhang, Jiangqi Chen, Xuanzhe Liu, Guozheng Peng, Fei Zhou   +6 more
wiley   +1 more source

Dynamic meta-learning with generative augmentation for cross-lingual Japanese few-shot named entity recognition

Systems and Soft Computing
Named Entity Recognition (NER) in Japanese is a challenging task due to data scarcity, limited cross-lingual transfer capabilities, and fuzzy entity boundaries, especially in low-resource environments.
Demei Zhu, Qin Liu, Xiaoying Pan, Xiaoli Shao   +3 more
doaj   +1 more source

Multi‐fidelity data meta‐learning approach for seismic response prediction of high‐rise shear wall buildings

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 29, Page 5512-5533, 9 December 2025.
Abstract Rapid and accurate estimation of seismic responses in city‐scale buildings is critical for post‐earthquake loss assessment and pre‐event identification of vulnerable buildings. However, conventional numerical simulation methods struggle to balance efficiency and accuracy when applied to large‐scale buildings, while existing data‐driven methods
Chenyu Zhang, Changhai Zhai, Weiping Wen, Guoqing Zhang   +3 more
wiley   +1 more source

Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning

, 2021
The Continual Learning (CL) problem involves performing well on a sequence of tasks under limited compute. Current algorithms in the domain are either slow, offline or sensitive to hyper-parameters. La-MAML, an optimization-based meta-learning algorithm claims to be better than other replay-based, prior-based and meta-learning based approaches ...
Joseph, Joel, Gu, Alex
openaire   +2 more sources

Sustainable improvement and application of multilingual english translation quality using T5 and MAML

Discover Artificial Intelligence
In the current era of global economic integration and digital economy development, multilingual English translation plays a crucial role in cultural exchange. Traditional translation models have poor adaptability and fitting ability.
Hongping Sun, Biao Kong
doaj   +1 more source

Joint Three-Task Optical Performance Monitoring with High Performance and Superior Generalizability Using a Meta-Learning-Based Convolutional Neural Network-Attention Algorithm and Amplitude-Differential Phase Histograms Across WDM Transmission Scenarios

Photonics
Nonlinear noise power (NLNP) estimation, optical signal-to-noise ratio (OSNR) monitoring, and modulation format identification (MFI) are crucial for optical performance monitoring (OPM) in future dynamic WDM optical networks.
Di Zhang, Junyao Shi, Yameng Cao, Yan Ling Xue   +3 more
doaj   +1 more source

Tools of the Trade: A Survey of Various Agent Based Modeling Platforms [PDF]

Agent Based Modeling (ABM) toolkits are as diverse as the community of people who use them. With so many toolkits available, the choice of which one is best suited for a project is left to word of mouth, past experiences in using particular toolkits and ...
Cynthia Nikolai, Gregory Madey
core  

Adaptive Position Control of Pneumatic Continuum Manipulator Based on MAML Meta-Reinforcement Learning

Applied Sciences
Reinforcement learning algorithms usually focus on a specific task, which often performs well only in the training environment. When the task changes, its performance drops significantly, with the algorithm lacking the ability to adapt to new ...
Lina Hao, Qiang Cheng, Hongshuai Liu, Ying Zhang   +3 more
doaj   +1 more source