Results 131 to 140 of about 3,020,093 (290)

Aberrant GRP78 Phase Transition Sustains Endothelial IRE1α Signaling and Drives Blood–Brain Barrier Failure in Cerebral Amyloid Angiopathy

Advanced Science, EarlyView.
Vascular Aβ40 corrupts GRP78 phase behavior in brain endothelial cells, sustaining IRE1α–TRAF2–JNK signaling and driving apoptosis, tight junction loss, and blood–brain barrier failure in cerebral amyloid angiopathy. Pharmacological IRE1α inhibition restores vascular integrity, reduces leakage, and improves functional outcomes, revealing a targetable ...
Honglin Zheng, Qiang Li, Haiyang Luo, Yapei Yuan, Na Zhang, Yongting Lu, Suying Duan, Jieshi Zhong, Hang Zhang, Chenyang Liu, Yaochong Zhang, Wenzhuo Zhao, Yaxuan Song, Tuo Wang, Si Yan, Yapeng Li, Han Liu, Yuan Gao, Zongping Xia, Yuming Xu   +19 more
wiley   +1 more source

MeTa Learning-Based Optimization of Unsupervised Domain Adaptation Deep Networks

This paper introduces a novel unsupervised domain adaptation (UDA) method, MeTa Discriminative Class-Wise MMD (MCWMMD), which combines meta-learning with a Class-Wise Maximum Mean Discrepancy (MMD) approach to enhance domain adaptation.
Hsiau-Wen Lin, Trang-Thi Ho, Ching-Ting Tu, Hwei Jen Lin, Chen-Hsiang Yu
core   +1 more source

Gradient Harmonization in Unsupervised Domain Adaptation

IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE TPAMI ...
Fuxiang Huang, Suqi Song, Lei Zhang 0038
openaire   +4 more sources

Deep‐Learning‐Driven High‐Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon‐Limited Conditions

Advanced Science, EarlyView.
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Renjian Li, Shutao Wu, Kaixiang Li, Zhenyu An, Yuwen Ben, Guiye LI, Sunil Kumar, James Mcginty, Tawfique Hasan, Songnian Fu, Meng Zhang, LingLing Chen   +11 more
wiley   +1 more source

Unsupervised domain adaptation with self-training for weed segmentation

Intelligent Systems with Applications
Accurate crop and weed segmentation in varied field conditions is crucial for advancing automated weed management but remains challenging. Though promising, convolutional neural networks (CNNs) often experience performance drops when deployed in new ...
Yingchao Huang, Amina E. Hussein, Xin Wang, Abdul Bais, Shanshan Yao, Tanis Wilder   +5 more
doaj   +1 more source

USP5 Stabilizes TGFBR1 to Drive Vascular Smooth Muscle Cell Senescence and Atherosclerosis

Advanced Science, EarlyView.
This study reveals that USP5 drives vascular smooth muscle cell senescence and atherosclerosis by stabilizing TGFBR1, suppressing IDH2, and promoting glycolytic reprogramming, identifying the USP5‐TGFBR1‐IDH2 axis as a potential therapeutic target. ABSTRACT Vascular smooth muscle cell (VSMC) senescence contributes importantly to atherosclerotic plaque ...
Xinhai Cui, Yuanlong Hu, Lin Lin, Lei Zhang, Chao Li, Yunlun Li   +5 more
wiley   +1 more source

Unsupervised Domain Adaptation for Constraining Star Formation Histories

Astronomy
In astronomy, understanding the evolutionary trajectories of galaxies necessitates a robust analysis of their star formation histories (SFHs), a task complicated by our inability to observe these vast celestial entities throughout their billion-year ...
Sankalp Gilda, Antoine de Mathelin, Sabine Bellstedt, Guillaume Richard   +3 more
doaj   +1 more source

Lanthanum Carbonate Nanosheets Based Colloidal Hydrogel for Modulating Innate & Adaptive Tumor Immunotherapy by Augmented Cellular Pyroptosis

Advanced Science, EarlyView.
The Gela/decitabine/La2(CO3)3 colloidal (GDLC) hydrogel developed here could reverse the epigenetic silencing of the GSDME gene by the synergistic interaction between DAC and La3+, while concurrently activating caspase‐3, thus facilitating pyroptosis induction under the tumor microenvironment.
Yang Hong, Haitao Wu, Weitao Wang, Xuan Zhang, Qian Chen, Yaoyu Hu, Zhengbao Zha   +6 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Unsupervised Domain Adaptation for Cross-Regional Scenes Person Re-Identification

Shanghai Jiaotong Daxue xuebao
In large-scale surveillance systems, the lack of positive cross-camera pedestrian samples in cross-regional scenes limits the performance of person re-identification (Re-ID) models.
MAO Yanmei, LI Huafeng, ZHANG Yafei
doaj   +1 more source