Results 91 to 100 of about 16,374 (240)

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

PET Imaging of Cardiac Inflammation in Viral Myocarditis Using a DPP4‐Targeted Probe

Advanced Science, EarlyView.
This study describes a DPP4‐targeted PET probe for imaging myocardial inflammation by selectively targeting activated immune cells. Derived from the clinically approved small‐molecule inhibitor linagliptin, the probe demonstrates favorable biodistribution with specific cardiac uptake in myocarditis.
Wanhao Gao, Wenzhu Hu, Du Tang, Xinxin Liu, Kun Yu, Lixia Feng, Minyu Liao, Wang Lin, Wenqiang Zhu, Sanjay Rajagopalan, Xiaoli Lan, Jixin Zhong, Dao Wen Wang, Dawei Jiang, Xiaoquan Rao   +14 more
wiley   +1 more source

HNRNPU K181 Lactylation Drives Cervical Cancer Growth by Upregulating PHGDH and Reprogramming Serine Metabolism

Advanced Science, EarlyView.
Lactate in cervical cancer induces HNRNPU K181 lactylation, opposed by NAA50‐mediated acetylation and suppressed by Pazopanib. This lactylation enhances HNRNPU binding to PHGDH pre‐mRNA exon 1, maintaining exon 1‐containing transcripts and mRNA stability, thereby activating serine metabolism.
Chang Zhang, Qingfei Meng, Hui Jiao, Huixin Liu, Xiangchao Wang, Honglan Zhou, Yishu Wang   +6 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Isosteric Substitution Enables Rational Design of Two‐Dimensional Energetic Crystals

Advanced Science, EarlyView.
Isosteric substitution transforms a classical nitro–amine motif into two‐dimensional aminofurazans with performance beyond TATB. ABSTRACT Two‐dimensional (2D) energetic crystals dissipate mechanical insult via interlayer slip, yet their molecular design space remains narrow.
Linyuan Wen, Wentong Tu, Tao Yu, Chao Chen, Zhixiang Zhang, Zhixiang Xie, Yingzhe Liu   +6 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Reinnervation of Muscle Targets Enhances the Separability of Motor Unit Signals Following Peripheral Nerve Transfers

Advanced Science, EarlyView.
Injured or cut peripheral nerves can be surgically rerouted to reinnervate new muscle targets. This study demonstrates reinnervated muscles exhibit enhanced separability between individual motor unit signals, which can simplify signal recording and decomposition. These findings highlight the potential of reinnervated muscle to serve as a key biological
Kiara N Quinn, Siyu Wang, Lang Qin, Alessandro Ascani Orsini, Kenzi Griffith, Rachana Suresh, Fausto Kang, Pierce L Perkins, Neha Joshi, Alexis L Lowe, Sami Tuffaha, Nitish V Thakor   +11 more
wiley   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

DYNAMIC LOAD SIMULATION OF 4WD SUV AND FATIGUE LIFE ANALYSIS OF FRAME

Jixie qiangdu, 2019
In order to predict fatigue life of frame,the MBS model of full vehicle has been built,based on the road load data,by applying virtual iteration technique,the dynamic load of interface point of frame has been obtained.
GE WenTao, LIU Zhou, DUAN LongYang, JIA HuiFang, GONG ChunHui   +4 more
doaj  

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source