Results 31 to 40 of about 1,439 (183)

Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain

Advanced Science, EarlyView.
In mice and patients with severe chronic neuropathic pain (NP), Nav1.7, Nav1.8, TrkB, and five cytoskeletal proteins form supramolecular active complexes (SMACs) with polygonal lattice structures as noxious signal amplifiers in dorsal root ganglion (DRG) neurons.
Liting Sun, Hang Xian, Yunxin Shi, Taotan Yang, Hongyan Shuai, Wenchao Hu, Siying Fei, Miao Xu, Taoyuan Yang, Ruilong Xia, Ting Wen, Fengting Zhu, Yan Fu, Yang Li, Wei Xia, Ran Qian, Yuanying Liu, Zhicheng Tian, Lamei Li, Qian Zhou, Lize Xiong, Rui Cong, Ceng Luo, Shengxi Wu, Xiafeng Shen, Xin Yu, Rou‐Gang Xie, Changgeng Peng   +27 more
wiley   +1 more source

Dumbbell‐Structured Plasmonic‐Enhanced Optical Nanoprobes Boosting Photo‐Magnetic‐Acoustic Multimodal Imaging‐Guided Photodynamic‐Photothermal Synergistic Treatment and Immunogenic Death in Nasopharyngeal Carcinoma

Advanced Science, EarlyView.
This study reports a novel rationally‐designed optical nanoprobe based on dumbbell‐shaped mesoporous silica‐coated gold nanorods, loaded with rare‐earth oxides, photosensitizers, and tumor‐targeted peptides, enabling plasmonic‐enhanced multimodal imaging and PTT‐PDT synergy.
Baikang Zhuang, Yubiao Yang, Wen Han, Yi Tang, Chengxin Yao, Fuli Zhao, Wenxiao Fang, Jinjie Li, Xiaolan Huo, Yiqian An, Yuanzhi Shao, Botao Gao, Jinchang Yin   +12 more
wiley   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

Unraveling the Power of Disorder: A Bioinspired Cuttlebone Structure With Superior Strength, Energy Absorption and Isotropy

Advanced Science, EarlyView.
Cuttlebone‐inspired architected metamaterials introduce controlled structural disorder to simultaneously enhance strength, energy absorption, and compressive stability. Tunable disorder suppresses shear anisotropy, outperforms periodic lattices, and establishes discrete randomness as a robust route to high‐performance lightweight mechanical ...
Zengqin Shi, Peng Jiang, Xiaoyan Zhu, Suyun Li, Wenqing Wang, Tian Zhao, Rujie He, Ying Li   +7 more
wiley   +1 more source

Giant Bulk Photovoltaic Effect in Two‐Dimensional Topological Ferroelectric Semimetal

Advanced Science, EarlyView.
ABSTRACT Ferroelectric (FE) metals have attracted growing interest because they combine ferroelectricity with metallic behavior and enable polarization‐controlled band topology near the Fermi level. However, the number of known ferroelectric metals is still limited.
Jianhua Wang, Xia Cheng, Shibo Fang, Tao Zhu, Xiaodong Zhou, Shifeng Qian, Tie Yang, Wenhong Wang, Yee Sin Ang   +8 more
wiley   +1 more source

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Multiple solutions with sign information for Robin equations with indefinite potential

Bulletin of Mathematical Sciences
In this paper, we study a Robin boundary value problem driven by the Laplace operator plus an indefinite potential term. The reaction is of the logistic type.
Nikolaos S. Papageorgiou, Jian Zhang, Wen Zhang   +2 more
doaj   +1 more source

Multiplicity of solutions for parametric p-Laplacian equations with nonlinearity concave near the origin

, 2010
We consider a nonlinear elliptic problem driven by the $p$-Laplacian and depending on a parameter. The right-hand side nonlinearity is concave, (i.e., $p$-sublinear) near the origin. For such problems we prove two multiplicity results, one when the right-
Hu, Shouchuan, Papageorgiou, NS, Papageorgiou, Nikolaos S., Shouchuan Hu, Nikolaos S. Papageorgiou, Hu, S   +5 more
core   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source