Results 181 to 190 of about 2,212 (246)

Single‐Nucleus RNA Sequencing Identifies CREM as a Brake on Myofiber Hypertrophy in Chickens

Advanced Science, EarlyView.
Single‐nucleus RNA sequencing on 91 144 nuclei from postnatal chicken pectoralis major between fast‐growing broilers (FG) and slow‐growing layers (SG) identifies the transcriptional factor CREM as a novel brake of myofiber hypertrophy. Mechanistically, functional validation experiments confirm that CREM activates the promoter of JUN and CREM deletion ...
Shuang Gu, Xiyu Zhao, Zheyi Jiang, Chaoliang Wen, Chaoyi Wang, Qiulian Wang, Qiang Huang, Fangren Lan, Shenghui Wu, Junying Li, Congjiao Sun, Huadong Yin, Ning Yang   +12 more
wiley   +1 more source

PHGDH‐Mediated Serine Metabolism in Nucleus Pulposus Cells Is a Potential Therapeutic Target for Intervertebral Disc Degeneration

Advanced Science, EarlyView.
When nucleus pulposus cells senesce, PHGDH decreases, reducing serine synthesis and glutathione, impairing antioxidant capacity. The intermediate α‐KG also drops, lowering JMJD3 demethylase activity, increasing H3K27me3 at the Rap1b promoter, and reducing Rap1b expression, whose down‐regulation in turn activates mTORC1 and suppresses autophagy ...
Hao‐Wei Xu, Sheng‐Jie Chang, Xiao‐Wei Liu, Shu‐Bao Zhang, Ying‐Jie Wang, Shan‐Jin Wang   +5 more
wiley   +1 more source

Interface‐Mediated Self‐Rectifying CsCuCl3 Memristors With Tunable Thresholds for Reconfigurable Neuromorphic Computing

Advanced Science, EarlyView.
Interface‐mediated CsCuCl3 memristors achieve self‐rectification and tunable thresholds, enabling selector‐free 8 × 8 arrays with > 105 ON/OFF and > 104 rectification. Supporting dual‐mode neuromorphic computing, negative thresholds preserve low‐light recognition accuracy (91%), while positive thresholds enable sparsity‐aware edge computing.
Qingwei Shi, Mufan Zhu, Song He, Zhen Yan, Yuezhong Lu, Shuaidi Wu, Wenju Xie, Xiaofeng Wang, Baochang Cheng, Jie Zhao   +9 more
wiley   +1 more source

Matrix Stiffness Promotes Tumor Metastasis by Triggering Recycling Endosome‐Mediated YY1 Nuclear Translocation and Transcriptional Activity

Advanced Science, EarlyView.
In stiff extracellular matrix (ECM), integrin αVβ3 transduces mechanical cues of ECM stiffness to promote recycling endosome formation, creating a signaling platform for yin yang 1 (YY1)/p21‐activated kinase 4 (PAK4) binding, but not in soft ECM. Then, this triggers PAK4‐mediated YY1 phosphorylation at S118, subsequent YY1 nuclear translocation and ...
Fuqiang Zhao, Xinpeng Wen, Jingyi Liu, Hongqiang Yu, Tianzhu Cui, Makoto Miyagishi, Vivi Kasim, Shourong Wu   +7 more
wiley   +1 more source

Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration

Advanced Electronic Materials, EarlyView.
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song, Chenxi Yu, Shangze Li, Dijiang Sun, Jiajia Zhang, Haotong Zhu, Xiaomin Xiao, Xionghao Qin, Xiaoyan Liu, Xing Zhang, Jinfeng Kang   +10 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Cumulative‐Stress‐Resilient Microelectromechanical Switches for Extreme Environment Applications

Advanced Electronic Materials, EarlyView.
A microelectromechanical switch combines a thermomechanically stable suspended structure with radiation‐tolerant materials to preserve operation under cumulative shock (2900 g), vibration (2000 Hz), gamma irradiation (1 Mrad), extreme temperatures (4–450 K), and proton irradiation (100 MeV, 1012 p/cm2).
So‐Young Lee, Min‐Sub Kim, Tae‐Soo Kim, Young‐Woo Jo, Yu‐Hyun Shim, Se‐Yoon Jung, Sung‐Ho Kim, Do‐Hoon Lim, Yong‐Bok Lee, Jun‐Bo Yoon   +9 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source