Results 81 to 90 of about 19,165 (241)

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

An Integrative Strategy Delineates Modular Metabolic Remodeling and Potential Therapeutic Targets Across Metabolic Diseases

Advanced Science, EarlyView.
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang, Congxue Hu, Hang Zhao, Xiao Peng, Yiming Yan, Jiasi Wang, Wenqi Jiang, Depeng Mu, Yan Cao, Xia Li, Yunpeng Zhang   +10 more
wiley   +1 more source

A big data based flow anomaly detection mechanism of electric power information network

Dianxin kexue, 2017
With the construction of smart grid, the electric power information network and its business system get rapid development. The early flow anomaly detection and warning are significant to the safety of network. Due to the lack of efficient measuring means
Honghong JIANG, Tao ZHANG, Xinjian ZHAO, Xin QIAN, Tiancheng ZHAO, Lisha GAO   +5 more
doaj   +2 more sources

Engineering Human Donor Derived Germinal Center‐Like Organoids (GCLOs) for Studying Immune Response to Vaccination

Advanced Science, EarlyView.
We bioengineered a new approach methodology of generating Germinal Center Organoids that self‐organize from human blood‐derived immune cells. These immune organoids reproduce key features of humoral immunity, IgG production, and plasmablast emergence.
Bhumi Suthar, Carlos Gomez, Giancarlo Asencio, Suresh Pallikkuth, Ashutosh Agarwal   +4 more
wiley   +1 more source

Parallel reservoir computing based signal outlier detection and recovery method for structural health monitoring

Developments in the Built Environment
The presence of outliers in signals collected by structural health monitoring systems, caused by sensor failure, equipment malfunction, or transmission interruption, can lead to misjudgments of a structure's working status and damage degree.
Yan-Ke Tan, You-Wu Wang, Yi-Qing Ni, Qi-Lin Zhang   +3 more
doaj   +1 more source

Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population

Advanced Science, EarlyView.
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang, Yang Liu, Mingyu Song, Ning Chen, Canqing Yu, Jun Lv, Eric Yuk Fai Wan, Lu Qi, Liming Li, Dianjianyi Sun, Bang Zheng   +10 more
wiley   +1 more source

Unveiling the Potential of Local Outlier Factor in Credit Card Fraud Detection

International Journal of Informatics, Information System and Computer Engineering
This study evaluates the Local Outlier Factor (LOF) algorithm for credit card fraud detection, emphasizing its effectiveness with highly imbalanced datasets.
Angel Jones, Marwan Omar
doaj   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Software defined network and graph neural network-based anomaly detection scheme for high speed networks

Cyber Security and Applications
In recent years, the proliferation of Software-Defined Networking (SDN) has revolutionized network management and operation. However, with SDN’s increased connectivity and dynamic nature, security threats like Denial-of-Service (DoS) attacks have also ...
Archan Dadhania, Poojan Dave, Jitendra Bhatia, Rachana Mehta, Malaram Kumhar, Sudeep Tanwar, Abdulatif Alabdulatif   +6 more
doaj   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source