Results 191 to 200 of about 271,914 (282)

SA-YOLOv11s: A Slicing-Attention YOLOv11s with U-IoU for Oil Leakage Detection in Power Equipment. [PDF]

Sensors (Basel)
Liu D, Liu C, Wang Z, Zhang S, Yang Y, Zhao T, Wang X.   +6 more
europepmc   +1 more source

Near‐Unity Photothermal Conversion in Bimetallic M44 and M81 Nanoclusters Enables NIR‐Driven Photo‐Thermo‐Electricity Generation

Advanced Science, EarlyView.
Atomically precise nanoclusters of Au/Ag alloys are explored as high‐performance photothermal materials, delivering record‐high photothermal efficiencies (up to 91%). Photo‐thermo‐electricity is further demonstrated by integrating nanocluster films with thermoelectric devices.
Avirup Sardar, Abhrojyoti Mazumder, Weijie Ji, Guiying He, Yitong Wang, Lianshun Luo, Sihan Chen, Rongchao Jin   +7 more
wiley   +1 more source

Cross-Layer Security for 5G/6G Network Slices: An SDN, NFV, and AI-Based Hybrid Framework. [PDF]

Sensors (Basel)
Allaw Z, Zein O, Ahmad AM.
europepmc   +1 more source

Mitochondrial Protection and Neural Repair via ROS‐Responsive Biomimetic Nanoparticles in Intracerebral Hemorrhage

Advanced Science, EarlyView.
A ROS‐responsive biomimetic nanoparticle platform co‐delivers DIDS and Mdivi‐1 to protect mitochondria and promote neural repair after intracerebral hemorrhage. By targeting LPAR1/VDAC1‐related mitochondrial dysfunction, the nanotherapy reduces oxidative injury, neuronal apoptosis, and blood‐brain barrier disruption, improving neurological recovery and
Ling Gao, Li Peng, Xiaobin Zheng, Cong Tan, Chuang Wang, Qijiang Xiong, Weiming Chen, Zhao Yang   +7 more
wiley   +1 more source

A Broader Survey on 6G Radio Resource Management. [PDF]

Sensors (Basel)
de Faria AJ, Brito JMC, Spadoti DH, Borges RM.   +3 more
europepmc   +1 more source

Yoda1‐Functionalized Nanozymes Coordinate Piezo1 Activation and Mitochondrial Protection to Reprogram the Diabetic Osteoimmune Micromilieu and Promote Vascularized Bone Repair

Advanced Science, EarlyView.
Diabetic bone defects remain a critical clinical challenge. A 3D‐printed BCPG‐MF@Y scaffold, embedding Yoda1‐functionalized manganese dioxide‐ferritin nanozymes, scavenges mtROS, suppresses the cGAS–STING pathway, and reverses cellular senescence, while Yoda1 activates Piezo1 to direct BMSCs fate to synergistically reprogram the osteoimmune ...
Qing‐Song Deng, Ang Wang, Ren Zhang, Xu‐Ran Li, Po‐Lin Liu, Shu‐Hang He, Zi‐Yin Han, Zhi‐Han Shen, Zhan‐Ying Wei, Chang‐Ru Zhang, Fei Wang, Helen Dawes, Jian Lu, Tong‐He Zhu, Jin‐Zhong Zhao, Shang‐Chun Guo, Shi‐Cong Tao   +16 more
wiley   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

Advanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang, Dooyong Koh, Brooke McGoldrick, Tudor Mocioi, Yabin Fan, Marc Baldo, Luqiao Liu   +6 more
wiley   +1 more source

Morphologically tunable mycelium chips for physical reservoir computing. [PDF]

Sci Rep
Telhan O, Winiski J, Schaak D, Siegel M, Petrillo N, Bayer E.   +5 more
europepmc   +1 more source

Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning

Advanced Science, EarlyView.
A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo, Peter Serles, Donggeun Park, Julia R. Greer, Seunghwa Ryu   +4 more
wiley   +1 more source

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source