Results 91 to 100 of about 2,299 (249)

Multi‐Axis Stretchable Zippers for Personalized Wound Healing

Advanced Science, EarlyView.
Multi‐axis stretchable zippers can adapt to complex wound morphologies and enable personalized wound treatment through programmable contraction. This morphological matching strategy helps accelerate wound closure, improve blood perfusion, promote epithelial regeneration, and enhance collagen remodeling, pioneering new directions for personalized and ...
Siyuan Cai, Guang Yao, Zijian Chen, Shiqi Zhou, Peisi Li, Liheng Lin, Huake Yang, Ziyi Zhou, Linbo Jin, Xingyi Gan, Chenzheng Zhou, Zhen Cai, Taisong Pan, Min Gao, Dongli Fan, Yuan Lin, Yiming Zhang   +16 more
wiley   +1 more source

Radio Frequency Fingerprint-Identification Learning Method Based-On LMMSE Channel Estimation for Internet of Vehicles

Mathematics
As a typical representative of complex networks, the Internet of Vehicles (IoV) is more vulnerable to malicious attacks due to the mobility and complex environment of devices, which requires a secure and efficient authentication mechanism.
Lina Sheng, Yao Xu, Yan Li, Yang Yang, Nan Fu   +4 more
doaj   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

Hydrogel Stack‐Tailored Logics and High‐Fidelity Multimodal Sensors Promoted by Precisely Evaluated Ionic Migration

Advanced Science, EarlyView.
Inspired by biological ion transport, this work introduces self‐powered multifunctional sensors utilizing tailored hydrogel stacks. Optimizing ionic migration with MXenes and carbon nanotubes achieves high‐performance energy harvesting and unique logic circuit functionality.
Haoran Chen, Hongjian Zhang, Zhonghui Shen, Taeuk Eom, Hyunseung Kim, Delong He, Jinbo Bai, Geon‐Tae Hwang, Yong Zhang, Chang Kyu Jeong   +9 more
wiley   +1 more source

Near‐Unity Selectivity Inversion Between CO2 Electroreduction and H2 Evolution via Atomic Coordination Editing

Advanced Science, EarlyView.
Atomic coordination editing functions as an on/off switch that toggles single‐atom catalysts between CO2 electroreduction and hydrogen evolution. ABSTRACT Precise atomic coordination editing of single‐atom catalysts (SACs) provides an effective strategy to tune their electronic structures and catalytic selectivity. Yet, achieving near‐unity selectivity
Yukun Zhao, Yuanyuan He, Mengyu Duan, Peng Yin, Jinxing Chen, Xu Han, Jie Yang, Yulin Wang, Xingjie Fu, Shibo Xi, Chuncheng Chen, Jiong Lu   +11 more
wiley   +1 more source

Rail Transit Radiation Source Identification Method Based on Enhanced Diagonal Integral Bispectrum

Chengshi guidao jiaotong yanjiu
[Objective] Numerous external interference signals exist in urban rail transit wireless communication system, posing a significant threat to operational safety.
Haichuan LIU, Kexin ZHANG, Hui HUI, Lu WEN   +3 more
doaj   +1 more source

Enhancing Blood Circulation With Epsilon‐Near‐Zero (ENZ) Materials via the Far‐Infrared Window of Human Skin

Advanced Science, EarlyView.
Epsilon‐near‐zero (ENZ) silicon carbide enables a selective far‐infrared emitter spectrally aligned with the human skin window around 10 µm for wavelength‐matched thermal therapy. In 25 within‐subject trials (50 hands) monitored by laser speckle contrast imaging, SiC increases blood perfusion by 30.2% versus a broadband graphite emitter while ...
Wen‐Teng Yao, Shan‐Chiao Yang, Ming‐Feng Tsai, Hsuen‐Li Chen   +3 more
wiley   +1 more source

Toward Channel-Robust and Receiver-Independent Radio Frequency Fingerprint Identification

IEEE Transactions on Information Forensics and Security
Radio frequency fingerprint identification (RFFI) is an emerging method for authenticating Internet of Things (IoT) devices. RFFI exploits the intrinsic and unique hardware imperfections for classifying IoT devices. Deep learning-based RFFI has shown excellent performance.
Jie Ma, Junqing Zhang, Guanxiong Shen, Linning Peng, Alan Marshall 0001   +4 more
openaire   +2 more sources

Field‐Frustrated Cooperative Distortions: Suppressing Jahn‐Teller Ordering via Microwave Annealing

Advanced Science, EarlyView.
Microwave annealing decouples local Jahn‐Teller distortions from long‐range cooperative ordering in CuFe2O4, stabilizing a metastable cubic phase that remains locally distorted yet globally symmetry‐frustrated. Synchrotron XRD, PDF, XPS, and in situ thermal cycling reveal how non‐equilibrium MW‐phonon interactions suppress cooperative orbital‐lattice ...
Daryoosh Vashaee, Kelvin Dsouza
wiley   +1 more source

A Quantum-Optimized Training Framework for Radio Frequency Fingerprint Identification

IEEE Journal on Selected Areas in Communications
Radio frequency fingerprint identification (RFFI) offers a promising physical-layer method to authenticate devices based on unique hardware impairments. However, existing RFFI systems use deep learning (DL) models that are resource-intensive. Training is particularly demanding, requiring repeated updates to a large number of parameters.
To Truong An, Guolin Yin, Junqing Zhang, Yuan Ding, Trung Q. Duong, Simon L. Cotton   +5 more
openaire   +1 more source