Results 191 to 200 of about 20,540 (261)

A Skull Bone Marrow‐to‐Brain Axis Links Osteoblastic Activity to Myeloid Cell Trafficking, Cerebral Blood Flow, and Cognition in Alzheimer's Progression

Advanced Science, EarlyView.
This study reveals that Alzheimer's disease–linked APP expression in bone‐forming cells drives skull bone marrow remodeling and alters its vascular connections to the brain. These changes disrupt immune cell trafficking, cerebral blood flow, and cognition. Targeting bone marrow macrophages restores brain function, highlighting a previously unrecognized
Lei Xiong, Dong Sun, Hao‐Han Guo, Daehoon Lee, Zhipeng Liu, Lin Mei, Wen‐Cheng Xiong   +6 more
wiley   +1 more source

Amplification of Endoplasmic Reticulum Stress via Inhibiting Lipid Droplet Formation to Enhance Chemodynamic Immunotherapy

Advanced Science, EarlyView.
An endoplasmic reticulum (ER)‐targeted chemodynamic nanoagent (TCBQ/iLD‐ER NPs) comprising •OH‐generating tetrachloro‐1,4‐benzoquinone (TCBQ) and lipid droplets (LDs) formation inhibitor (iLD) is developed for chemodynamic immunotherapy of tumors. After ingestion by cancer cells, TCBQ/iLD‐ER NPs preferentially accumulate in the ER and react with ER ...
Huilan Cai, Shaoru Zhuang, Yang Zhu, Rujiang Ao, Meili Yu, Tingting Cui, Jun Wang, Xuegang Niu, Hongwei Huang, Shanshan Peng, Yu He, Lisen Lin, Huanghao Yang   +12 more
wiley   +1 more source

Mn‐Induced Support Stabilization and Ir Electronic Activation Enable Acid‐Stable, Low‐Loading IrO2 Water Oxidation

Advanced Science, EarlyView.
This study introduces a dual‐regulation strategy utilizing a Mn‐doped Co3O4 support to enhance the activity and stability of low‐loading IrO2 catalysts for acidic water oxidation. Mn induces strong Mn─O covalency to reinforce the spinel lattice and activates Ir sites via interfacial electron transfer.
Zhe Liu, Guoxin Ma, Shixiang Yu, Rui Jin, Fei Wang, Xinxin Wen, Mengxin Chen, Yani Ding, Jia Liu, Xinkai Guo, Diab Khalafallah, Hassan Fouad, Xiao Ren, Siwei Li   +13 more
wiley   +1 more source

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

Advanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang, Xiaoqing Gong, Shukai Gu, Jing Li, Bo Liu, Yanan Tian, Qianqian Zhang, Xiaojun Yao, Huanxiang Liu   +8 more
wiley   +1 more source

Large‐Scale Growth of Self‐Poled Ferroelectric Rashba Semiconductor α‐GeTe(111) Thin Films: A Crucial Step Towards Future CMOS‐Compatible Ferroelectric Spintronic Devices

Advanced Science, EarlyView.
Ferroelectric Rashba semiconductors promise ultralow‐power devices but lack industry‐quality films. This work demonstrates CMOS‐compatible fabrication of high‐quality α‐GeTe(111) films via magnetron sputtering, enabled by a 5 nm Sb2Te3 seed layer. Structural and ferroelectric analyses show robust, switchable polarization comparable to MBE films, paving
Jules Lagrave, Nicolas Bernier, Thomas Jalabert, Yoann Brûlé, Damien Térébénec, Pierre Meilleur, Hervé Roussel, Jean‐Baptiste Dory, Oussama J. Mouawad, Thibault Chommaux, Cristian Mocuta, Dominique Thiaudière, Laurent Vila, Françoise Hippert, Pierre Noé   +14 more
wiley   +1 more source

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

Advanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren, Hong Wang, Chak Wang Tse, Yi Zheng, Xi Chen, Wenqi Hu   +5 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source

A Dual‐Phase Exosomal Nanotherapy Enhances Continual Efferocytosis by Coordinating Checkpoint Inhibition and Metabolic Reprogramming in Atherosclerosis

Advanced Science, EarlyView.
Here we developed Am@SExo, a dual‐functional engineered exosome that coordinates CD47–SIRPα checkpoint blockade with Arg1 mRNA–mediated metabolic reprogramming. Surface SIRPα promotes recognition of apoptotic cells and plaque targeting, while Arg1 expression enhances arginine–ornithine metabolism, Rac1 activation, and actin remodeling in macrophages ...
Danwen Zheng, Shiteng Cai, Jinfeng Gao, Sheng Zhao, Bohan Wei, Xueyi Weng, Zhengmin Wang, Qiaozi Wang, Qiyu Li, Chengzhi Han, Weiyan Li, Yiwen Tan, Yuyuan Fu, Meng Ji, Zheyong Huang, Yanan Song, Juying Qian, Junbo Ge   +17 more
wiley   +1 more source

Reconfigurable Selector‐Only Memory (SOM) for Scalable Neuromorphic Computing

Advanced Science, EarlyView.
ABSTRACT Highly scalable reconfigurable neuromorphic devices are critical for addressing continual‐learning challenges in artificial intelligence. However, the scalability of existing reconfigurable devices is severely constrained by limited operating margins and insufficient process maturity.
Jin‐Yu Wen, Chuan‐Qi Yi, Ya‐Ru Zhang, Bin‐Hao Wang, Zi‐Xuan Liu, Chun‐Yu Zhou, Hao Tong, Xiang‐Shui Miao   +7 more
wiley   +1 more source