Results 211 to 220 of about 287,840 (285)

Light‐Induced Entropy for Secure Vision

Advanced Materials, EarlyView.
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo, Seungme Kang, Chaehyun Kim, Taehyun Park, Youngwoo Yoo, Yeong Kwon Kim, Wonjun Shin, Byung Chul Jang, Young‐Joon Kim, Hocheon Yoo   +9 more
wiley   +1 more source

HTINet2: herb-target prediction via knowledge graph embedding and residual-like graph neural network. [PDF]

Brief Bioinform
Duan P, Yang K, Su X, Fan S, Dong X, Zhang F, Li X, Xing X, Zhu Q, Yu J, Zhou X.   +10 more
europepmc   +1 more source

Soft Ionic and Electronic Triboelectric Nanogenerators: Toward Attachable and Implantable Biomedical Applications

Advanced Materials, EarlyView.
This review provides an overview of triboelectric nanogenerator (TENG)–based biomedical applications by classifying studies into electronic and ionic systems across attachable and implantable platforms. It summarizes key material choices, device structures, and working mechanisms that characterize current TENG‐based research, and outlines six future ...
Kyongtae Choi, Jimin Park, Won Jun Song, Soohwan An, Seonggyu Choe, Byeong‐Rak Keum, Min Young Kim, Dae Hee Hwang, Young‐Geun Park, Sung‐Won Kim, Sangyul Baik, Gwang‐Bum Im, Younghoon Lee   +12 more
wiley   +1 more source

Graph embedding on mass spectrometry- and sequencing-based biomedical data. [PDF]

BMC Bioinformatics
Alvarez-Mamani E, Dechant R, Beltran-Castañón CA, Ibáñez AJ.   +3 more
europepmc   +1 more source

A Nano‐Interception Strategy for Chronic Heart Failure: Prussian Blue Nanoparticles Disrupt Fibroblast‐Immune Communication via CCL2 Sequestration

Advanced Materials, EarlyView.
A nano‐interception strategy disrupts pathogenic fibroblast–macrophage crosstalk in chronic heart failure. Scalable Prussian blue nanoparticles selectively sequester CCL2 via ultrahigh‐affinity binding, preventing CCR2+ macrophage recruitment and breaking a key fibro‐inflammatory circuit. This approach demonstrates robust efficacy in murine and porcine
Bo Chen, Gao Wei, Guowei Zeng, Haoyu Li, Rongrong Wu, Hongyu Yan, Zijie Zhou, Kai Luo, Xiaoyang Zhang, Cong Li, Longming Huang, Lingyan Cheng, Xinjie Zhang, Jinghao Zheng, Bozhong Shi, Xiaojun Cai, Xiaomin He   +16 more
wiley   +1 more source

EGPDI: identifying protein-DNA binding sites based on multi-view graph embedding fusion. [PDF]

Brief Bioinform
Zheng M, Sun G, Li X, Fan Y.
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Affective EEG-based cross-session person identification using hierarchical graph embedding. [PDF]

Cogn Neurodyn
Liu H, Jin X, Liu D, Kong W, Tang J, Peng Y.   +5 more
europepmc   +1 more source

2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems

Advanced Materials, EarlyView.
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley   +1 more source

Beta-informativeness-diffusion multilayer graph embedding for brain network analysis. [PDF]

Front Neurosci
Huang Y, Li Y, Yuan Y, Zhang X, Yan W, Li T, Niu Y, Xu M, Yan T, Li X, Li D, Xiang J, Wang B, Yan T.   +13 more
europepmc   +1 more source