Results 201 to 210 of about 658,337 (286)

Hierarchical multi-attention neural networks for sensor fault diagnosis and mitigation in digital twins. [PDF]

Sci Rep
Pan L, Li H, Li X, Bi D, Peng L, Xie Y.
europepmc   +1 more source

NIBAN2/FLII/RREB1 Axis Drives Glioma Stem Cell Malignancy via TLR3 Pathway Activation

Advanced Science, EarlyView.
NIBAN2, highly expressed in glioma stem‐like cells (GSCs), assembles with FLII and transcription factor RREB1 to form a nuclear complex. This complex transcriptionally activates stemness‐associated genes (e.g., CD44, NANOG) and metabolic enzymes (e.g., LDHA), thereby sustaining both transcriptional and metabolic stemness programs.
Liang liang Shi, Xinwei Qiao, Yue Hu, Minjie Wang, Shaojie Yu, Zihan Gong, Yuxin Rao, Hui Zheng, Siting Chen, Lin Li, Rong Fu, Tao Liang, Jin Yao, Xiaobing Jiang, Junjun Li   +14 more
wiley   +1 more source

Development of Virtual Mental Health Stepped Care Service for a Heart Failure Remote Management Program: Qualitative Descriptive Study. [PDF]

JMIR Form Res
Shah A, Shahil-Feroz A, Sheehan KA, Wright S, Nolan RP, Strudwick G, Sockalingam S, Seto E.   +7 more
europepmc   +1 more source

Design of Safe and Efficient Adenine Base Editors via Protein Language Model Screening for Osteoarthritis Treatment

Advanced Science, EarlyView.
ABSTRACT Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single‐nucleotide variants. While the current efficient version of adenine base editors (ABEs), such as ABE8e, exhibits exceptional efficiency for A‐to‐G conversions, their clinical translation is hindered by ...
Jiawei Yao, Dalin Chen, Ziyi Zhang, Jingxuan Ren, Chengcheng Zhao, Shengfang Wang, Mengyu Shang, Dawei Jiang, Yinuo Li, Su'an Tang, Kai Li, Xiaohui Zhang, Xiaogang Wang   +12 more
wiley   +1 more source

Anomaly-Detection-Driven Screening of Thermodynamic Stability from Composition Descriptors Alone. [PDF]

J Phys Chem Lett
Makino K, Yamaguchi Y, Tanibata N, Takeda H, Kobayashi R, Karasuyama M, Nakayama M.   +6 more
europepmc   +1 more source

NUP85 Mediates Endoplasmic Reticulum Stress through the USP47/ASK1 Signaling Pathway to Regulate the Progression of Liver Fibrosis

Advanced Science, EarlyView.
In the present study, we have demonstrated that the NUP85‐USP47‐ASK1 signaling pathway may have regulated the progression of liver fibrosis through modulating ERS. Additionally, we have developed a CREKA‐coupled liposome to target delivery of MV, a pharmacological inhibitor of NUP85, to activated HSCs, thereby attenuating liver fibrosis. ABSTRACT Liver
Dashuai Yang, Haoran Yang, Linxin Pan, Chang Tian, Fucheng Zuo, Shilei Huang, Xianrui Li, Ming Chen, Cheng Qian, Jie Wang, Zhaolin Chen, Tao Xu   +11 more
wiley   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Finite Element Analysis of Low-Profile Reconstruction Plates for Atrophic Mandibles-Part II: A Comparison of Customized Plates with 3D Grid-Type and Conventional Designs. [PDF]

Craniomaxillofac Trauma Reconstr
Pulino B, Sader R, Louzada G, Rana M, Millesi G, de Camargo Filho GP, Guerra RC.   +6 more
europepmc   +1 more source

Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics

Advanced Science, EarlyView.
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang, Bingqian Dai, Shijie Xu, Kin Wong, Yaochen Li, Yang Cheng, Qingyuan Shu, Haoran He, Puyang Huang, Hanshen Huang, Xixiang Zhang, Kang L. Wang   +11 more
wiley   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source