Results 111 to 120 of about 53,359 (288)

Disruption of Treg Homeostasis in Rheumatoid Arthritis via Ferroptosis‐Mediated ETC Collapse and TXK‐STAT3/PLCγ1 Activation

Advanced Science, EarlyView.
In rheumatoid arthritis, synovial Tregs accumulate but are functionally impaired due to iron overload‐induced ferroptosis. This triggers mitochondrial dysfunction and TXK tyrosine kinase‐mediated signaling, leading to Treg destabilization and inflammation.
Jingrong Chen, Xiao Guan, Kexu Xiong, Xiaoyi Shi, Luyao Wu, Chuanxin Su, Jun Zhao, Rongzhen Liang, Huimin Wang, Junlong Dang, Ye Chen, Yiding Xiong, Chi Zhou, Futao Zhao, Zhenhang Zhu, Xiaoli Fan, Li Zhou, Nancy Olsen, Yutong Jiang, Song Guo Zheng   +19 more
wiley   +1 more source

Deep unsupervised feature selection by discarding nuisance and correlated features. [PDF]

Neural Netw, 2022
Shaham U, Lindenbaum O, Svirsky J, Kluger Y.   +3 more
europepmc   +1 more source

Unsupervised Feature Selection [PDF]

, 2011
  +4 more sources

Representation and recognition of human actions in video

, 2011
PhDAutomated human action recognition plays a critical role in the development of human-machine communication, by aiming for a more natural interaction between artificial intelligence and the human society.
Bregonzio, Matteo
core  

Reconstruction-based Unsupervised Feature Selection: An Embedded Approach

, 2017
Feature selection has been proven to be effective and efficient in preparing high-dimensional data for data mining and machine learning problems. Since real-world data is usually unlabeled, unsupervised feature selection has received increasing attention
Huan Liu, Jiliang Tang, Jundong Li
core   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

Algorithmic Stability and Generalization of an Unsupervised Feature Selection Algorithm. [PDF]

Adv Neural Inf Process Syst, 2021
Wu X, Cheng Q.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Localized Feature Selection For Unsupervised Learning

, 2010
Clustering is the unsupervised classification of data objects into different groups (clusters) such that objects in one group are similar together and dissimilar from another group.
Li, Yuanhong
core  

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source