Results 91 to 100 of about 6,027,160 (189)

AL398, A Novel NSUN6 Inhibitor, Attenuates Epithelial‐Mesenchymal Transition and Metastasis in Endometrial Cancer by Abrogating m5C‐Dependent Stabilization of Snail mRNA

Advanced Science, EarlyView.
Proposed molecular mechanism: NSUN6 catalyzes m5C methylation on Snail mRNA to enhance its stability, leading to Snail upregulation and EMT promotion. The first‐in‐class inhibitor AL398 suppresses endometrial cancer metastasis by targeting the NSUN6‐m5C‐Snail. axis. ABSTRACT Endometrial cancer (EC) constitutes a leading gynecologic malignancy for which
Xiangzhuan Zhao, Linlin Yang, Huanxiang Chen, Chenfeng Guo, Hongshen Lu, Ying Zhu, Xuanzhi Wang, Yang Li, Ruike Zhang, Zichong Huang, Yifang Chen, Keyu Jin, Zeduo Xu, Lingxiu Meng, Longfeng Zhang, Yuanyuan Han, Yicong Yan, Qiaozhen Kang, Junhu Wan, Hongyang Liu   +19 more
wiley   +1 more source

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

Advanced Science, EarlyView.
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang, Meng Chen, Guanchen Li, Ruifeng Liu, Yingxin Wang, Ziran Zhao   +5 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

Organic Electrochemical Transistors for Neuromorphic Bioelectronics: Materials and Manufacturing Technologies

Advanced Science, EarlyView.
Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Hyunjin Lee, Jihyang Park, Xinyi Wang, Yueqi Deng, Jiashu Ren, Tao Zhou   +5 more
wiley   +1 more source

Critical points of polynomials with random zeros

, 2016
The study of zero distribution of random polynomials has a long history and is currently a very active research area. Traditionally, the randomness in these polynomials comes from the probability distribution followed by their coe cients.
Ng, TW
core  

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

Advanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang, Xing Yang, Liping Liu, Yang Peng, Yangyang Wang, Hualiang Lv   +5 more
wiley   +1 more source

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

Advanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge, Feifan Zhang, Yijiang Liu, Chao Jiang, Peng Gao, Nguan Soon Tan, Sai Zhang, Yuchen Shen, Qianyi Zhou, Xin Zhou, Xiao Wang, Fangqing Zhao, Chuchu Wang, Xiaotao Shen   +13 more
wiley   +1 more source

Research on hazard factor identification and safety risk assessment of mineral processing operations. [PDF]

Sci Rep
Guan H, Fan W, Kang Y.
europepmc   +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

A latent factor framework to organize regulatory and metabolic programs inferred from scRNA-seq. [PDF]

Bioinform Adv
Napoli C, Bardozzo F, Verma S, Doan LMT, Fiore P, Faggiano C, Angione C, Occhipinti A, Tagliaferri R.   +8 more
europepmc   +1 more source