Results 51 to 60 of about 1,067 (168)

Chemically Programmable Underwater Sound‐Absorbing Metamaterial via MXene Self‐Assembly

Advanced Science, EarlyView.
MXene self‐assembly creates a chemically programmable underwater metamaterial with quasi‐periodic layers and a chemical‐physical multi‐level constraint system. A crosslinker as a ‘chemical scissor’ precisely edits microscopic interactions, exciting deep‐subwavelength strong local resonances that induce near‐zero/negative effective bulk modulus (Keff ...
Ziwen Gan, Ranran Qi, Mingyi Liao, Bowen Chen, Chen Cheng, Wei Tu   +5 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

RBM12 Maintains Glioma Stem Cells by Activating Amino Acid‐Dependent mTORC1 Signaling via SLC7A5 mRNA Stabilization

Advanced Science, EarlyView.
This study shows that in glioma stem cells (GSCs), RBM12 recruits ALKBH5 to remove m6A from SLC7A5 transcripts, thereby enhancing mRNA stability, which elevates large neutral amino acid (LNAA) levels and activates mTORC1, promoting GSC proliferation, self‐renewal, and tumor growth.
Hong Lei, Wenlong Luo, Shu Zhou, Lihao Wan, Peng Ling, Zhihua Huang, Zhihua Qian, Chenfei Lu, Mengyue Guo, Zhen Xue, Jun Qin, Ningwei Zhao, Jianghong Man, Wenchao Zhou, Zhiqiang Dong, Shutong Xu, Zhipeng Zhou, Xiuxing Wang, Weiwei Tao   +18 more
wiley   +1 more source

An Integrative Strategy Delineates Modular Metabolic Remodeling and Potential Therapeutic Targets Across Metabolic Diseases

Advanced Science, EarlyView.
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang, Congxue Hu, Hang Zhao, Xiao Peng, Yiming Yan, Jiasi Wang, Wenqi Jiang, Depeng Mu, Yan Cao, Xia Li, Yunpeng Zhang   +10 more
wiley   +1 more source

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

Non‐Noble Metal Nanocatalysts for Hydrogen Evolution

Advanced Science, EarlyView.
Recent overviews and latest developments of diverse classes of non‐noble catalysts for application toward high‐performance photocatalysis, thermocatalytic steam reforming, and electrocatalysis. Toward sustainability objectives, several advanced characterization tools in combination with the latest breakthroughs in machine learning for material ...
Lina Jaya Diguna, Gede Herry Arum Wijaya, Md Abdul Kuddus Sheikh, Tobias Haposan, Fidelis Stefanus Hubertson Simanjuntak, Arramel Arramel, Muhammad Danang Birowosuto, Konstantin Sergeevich Novoselov   +7 more
wiley   +1 more source

Functional Suppression of SCAP Triggers Endoplasmic Reticulum Stress‐Dependent Ferroptosis by Impairing Cholesterol Metabolism in Gastric Cancer

Advanced Science, EarlyView.
This study reveals a novel GC therapy targeting cholesterol homeostasis. Inhibiting the SCAP sterol‐sensing domain causes lethal ER stress via cholesterol accumulation, paradoxically forcing continuous synthesis that triggers ferroptosis. The findings link sterol sensing, metabolic dysregulation, and ferroptosis, establishing an anti‐cancer paradigm ...
Qianqian Xu, Guangzhao Pan, Lele Zhang, Xiangliu Chen, Kui Zhang, Yang Lu, Zibo Duan, Aiping Chen, Hailong Shen, Yuxi Zhang, Xiaowu Dong, Jinzhou Huang, Xing Huang, Kai Miao, Qian Hua, Fangfang Tao, Weidong Zhang, Jiang‐Jiang Qin   +17 more
wiley   +1 more source

A Hydrogen Sulfide–Releasing Dynamic Hydrogel Modulates Coordinated Neurovascular, Immune, and Angiogenic Responses for Scar‐Suppressed Diabetic Wound Repair

Advanced Science, EarlyView.
ROS‐Responsive H2S Hydrogel (HAPPF) Coordinated Regeneration for High‐Quality Diabetic Wound Repair.A self‐regulating dynamic hydrogel is developed to deliver a fluorogenic H2S donor in response to excessive ROS. Released H2S acts as a master regulator to resolve chronic inflammation (M2 polarization), restore VEGF‐driven angiogenesis, and rebalance ...
Xuyang Ning, Ziqiang Zhou, Bangming Li, Hong Lu, Haoyang Wen, Zhoulong Huang, Gang Li, Ping Hu   +7 more
wiley   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source