Results 131 to 140 of about 53,402 (265)

Compound Abrus cantoniensis Extract Alleviates AFB1‐Induced Liver Injury by Regulating PI3K‐AKT Pathway and Gut Microbiota/Butyrate Metabolism

Advanced Science, EarlyView.
ACCE has a good alleviating effect on AFB1‐induced liver injury, and this alleviating effect is related to the PI3K‐AKT pathway regulated by ACCE and the butyrate metabolism of gut microbiota. ABSTRACT Aflatoxin B1 (AFB1) is a potent hepatotoxin commonly ingested through contaminated food. Abrus cantoniensis Hance, a traditional Chinese medicinal herb,
Hongjie Hu, Ming cheng, Shiqi Zheng, Huixin Liu, Xiaofang Wei, Wenwen Yang, Hongchun Yang, Liuyang Yuan, Li Jiang, Jie Chen, Linglong Zhao, Yanchao Guo, Hongbin Si   +12 more
wiley   +1 more source

Integrated Multi‐Omics Reveals Cellular States and Microenvironmental Remodeling in Coexisting DCIS and IDC

Advanced Science, EarlyView.
Coexisting DCIS and IDC samples are profiled using spatial transcriptomics, single‐cell RNA sequencing, and single‐cell DNA sequencing. Integrative multi‐omics analysis reveals distinct malignant epithelial and microenvironmental features between DCIS and IDC, which are further validated using Xenium and multiplex immunohistochemistry.
Ning Zhang, Tong Wan, Siyue Zhang, Yunzhen Jiang, Peng Su, Jixin Liu, Zhitong Chen, Jie Hao, Haoyu Wang, Bing Chen, Wenjing Zhao, Lijuan Wang, Tao Xing, Qihuang Zhang, Ulf Schmitz, Zhiyong Ding, Nicola Crosetto, Bingqiang Liu, Qifeng Yang   +18 more
wiley   +1 more source

Dual-branch MRI denoising and motion artifact suppression with uncertainty estimation and segmentation-based evaluation. [PDF]

Med Phys
Jiang M, Lam CK, Zhang Z, MohammadiNasab P, Chang HC, Tong T, She H, Yuan Z, Tan T.   +8 more
europepmc   +1 more source

Event-Preserving Neural Network Denoising for Impedance Flow Cytometry. [PDF]

Nanomaterials (Basel)
Shi L, Jindrich C.
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

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

Curvelet-Based Stochastic Noise Suppression for Downhole DAS Microseismic Data. [PDF]

Sensors (Basel)
Zhang Y, Chen Z, Chen H, Cheng L, Dong J, Wu Z, Li Z.   +6 more
europepmc   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

An Enhanced Hybrid SVD-DBO-VMD Framework for Rolling Bearing Fault Feature Extraction Using Vibration Data. [PDF]

Sensors (Basel)
Zhang C, Xu L, He X, Zhao Z, Zhao X.
europepmc   +1 more source