Results 71 to 80 of about 12,484 (262)

LMO7 Suppresses Tumor‐Associated Macrophage Phagocytosis of Tumor Cells Through Degradation of LRP1

Advanced Science, EarlyView.
LMO7 in tumor‐associated macrophages suppresses phagocytosis of tumor cells and limits cytotoxic T lymphocytes infiltration, fostering tumor progression. Mechanistically, LMO7 mediates the ubiquitination and degradation of the phagocytic receptor LRP1, impairing its ability to engulf tumor cells and driving macrophages toward an antitumor phenotype ...
Mengkai Li, Tao Wang, Yuwen Zhong, Zhiming Wang, Wei Li, Zejian Wang, Xinyi Yang, Yu Qiao, Jianfeng Xiang, Wei Gu, Zishu Wang, Lei Sun, Feng Qian   +12 more
wiley   +1 more source

Unsupervised Domain Adaptation in Semantic Segmentation: A Review

Technologies, 2020
The aim of this paper is to give an overview of the recent advancements in the Unsupervised Domain Adaptation (UDA) of deep networks for semantic segmentation.
Marco Toldo, Andrea Maracani, Umberto Michieli, Pietro Zanuttigh   +3 more
doaj   +1 more source

Activated Platelet–Released Heat Shock Protein 90α Triggers Autophagy‐Dependent Neutrophil Extracellular Trap Formation and Amplifies Sepsis

Advanced Science, EarlyView.
HSP90α is significantly upregulated in platelets from sepsis patients, with its origin from megakaryocyte‐derived trafficking. Furthermore, activated platelets secrete HSP90α into the extracellular space in both free and exosome‐associated forms. Finally, extracellular HSP90α directly engages TLR4 on neutrophils to induce autophagy, leading to NET ...
Chengbo Wang, Maodong Leng, Chenchen Sun, Jingyu Cao, Linfei Li, Yangyang Jia, Yongshuai Han, Yuchun Liu, Yaodong Zhang, Chenglong Zhang, Yingli Men, Ningyuan Liu, Yibing Cheng, Yixia Zhang, Ya Li, Zhenlong Li, Lidan Cui, Xiangzhan Zhu   +17 more
wiley   +1 more source

Subtype-Aware Dynamic Unsupervised Domain Adaptation

IEEE Transactions on Neural Networks and Learning Systems
Unsupervised domain adaptation (UDA) has been successfully applied to transfer knowledge from a labeled source domain to target domains without their labels. Recently introduced transferable prototypical networks (TPN) further addresses class-wise conditional alignment.
Xiaofeng Liu, Fangxu Xing, Jane You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo   +6 more
openaire   +3 more sources

CRP Deficiency Rescues Periodontitis‐Induced Hippocampal Neurogenesis Impairment by Suppressing OPC‐Derived BMP4 Signaling in Rats

Advanced Science, EarlyView.
Chronic periodontitis elevates circulating CRP, which enters the hippocampus to upregulate BMP4 in oligodendrocyte precursor cells (OPCs), thereby impairing neurogenesis and inducing anxiety/depression‐like behaviors in rats. Counteracting this pathway, CRP deficiency helps confer functional resilience to OPCs.
Lingjie Li, Ping Deng, Siyu Hou, Xianbo Xia, Wei Zhao, Xingyu Zhu, Yang Zhang, Chao Wang, Ling Xu, Jinlin Song   +9 more
wiley   +1 more source

Task Nuisance Filtration for Unsupervised Domain Adaptation

IEEE Open Journal of Signal Processing
In unsupervised domain adaptation (UDA) labeled data is available for one domain (Source Domain) which is generated according to some distribution, and unlabeled data is available for a second domain (Target Domain) which is generated from a possibly ...
David Uliel, Raja Giryes
doaj   +1 more source

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

Advanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen, Yang Zhao, Boqiang Hu, Wuke Wang, Minfang Song, Annabeth Xinyu Zhao, Xiangyang Li, Gefei Wang, Yanfen Wang, Weiyan Zheng, Xinpeng Zhang, Xia Lin, Yanbin Yin, Xingxu Huang, Jinfang Zheng, Tingbo Liang   +15 more
wiley   +1 more source

Domain‐invariant adversarial learning with conditional distribution alignment for unsupervised domain adaptation

IET Computer Vision, 2020
Unsupervised domain adaption aims to reduce the divergence between the source domain and the target domain. The final objective is to learn domain‐invariant features from both domains that get the minimised expected error on the target domain.
Xingmei Wang, Boxuan Sun, Hongbin Dong
doaj   +1 more source

Mitochondrial CircRNA CircMT‐RNR2 Safeguards Antioxidant Defense to Support Fibroblast Functions in Wound Repair

Advanced Science, EarlyView.
CircMT‐RNR2 promotes wound healing by enhancing fibroblast proliferation, migration, contraction, and extracellular matrix (ECM) production. It sustains mitochondrial redox balance by stabilizing the antioxidant protein PRDX3, thereby reducing ROS‐induced damage. In diabetic foot ulcers, hypoxia, hyperglycemia, and reduced FGF2 and EGF expression lower
Guanglin Niu, Jennifer Geara, Yongjian Chen, Lihua Luo, Yanwei Xiao, Zhuang Liu, Margaux Gaborieau, Ling Pan, Edmund Loh, Dongqing Li, Pehr Sommar, Aoxue Wang, Xiaowei Zheng, Ning Xu Landén   +13 more
wiley   +1 more source

Multi-View Prototypical Transport for Unsupervised Domain Adaptation

IEEE Access
Unsupervised Domain Adaptation (UDA) methods struggle to bridge the gap between a labeled source domain and an unlabeled target domain, particularly due to the rigidity of deep feature representations derived from the penultimate layer of backbone ...
Sunhyeok Lee, Dae-Shik Kim
doaj   +1 more source