Results 91 to 100 of about 82,326 (277)

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

Hyperviscous Diabetic Bone Marrow Niche Impairs BMSCs Osteogenesis via TRPV2‐Mediated Cytoskeletal‐Nuclear Mechanotransduction

Advanced Science, EarlyView.
Diabetic bone marrow exhibits pathological ECM hyperviscosity that activates TRPV2‐mediated Ca2⁺ influx, leading to perinuclear F‐actin disassembly, nuclear deformation, and chromatin condensation. This cytoskeletal‐nuclear decoupling suppresses osteogenic differentiation of BMSCs.
Yao Wen, Xinhui Zheng, Jieliu Li, Minyu He, Dongqi Fan, Xingyu Zhu, Qiming Zhai, Liangjing Xin, Tao Chen   +8 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

Biodegradable Carbonate Nanogels Loaded with Anti MFAP‐5 siRNA for Anti‐stromal Therapy of Hepatocellular Carcinoma

Advanced Science, EarlyView.
Polycarbonate nanogels enable lipid‐free delivery of anti‐MFAP‐5 siRNA into cancer‐associated fibroblasts (CAF) in hepatocellular carcinoma. In a cirrhotic murine model, this approach silences MFAP‐5, reduces fibroblast activation, and suppresses tumor growth by inhibiting NOTCH/Hes1‐driven angiogenesis. CAF‐targeted MFAP‐5 RNAi and conserved signaling
Paul Schneider, Alexander Fuchs, Michael Fichter, Vanessa Bolduan, Jenny Schunke, Özlem Akilli, Nádia C. Correia, Yannick Ehlers, Christian Czysch, Pia Winterwerber, Eliana Stanganello, Barbara Schrörs, Mustafa Diken, Christoph Eckert, Shusruto Rishik, Andreas Keller, Jörn M. Schattenberg, Stephan Grabbe, Matthias Bros, Lutz Nuhn, Leonard Kaps   +20 more
wiley   +1 more source

Geometry-Aware Unsupervised Domain Adaptation

, 2021
Unsupervised Domain Adaptation (UDA) aims to transfer the knowledge from the labeled source domain to the unlabeled target domain in the presence of dataset shift. Most existing methods cannot address the domain alignment and class discrimination well, which may distort the intrinsic data structure for downstream tasks (e.g., classification).
Luo, You-Wei, Ren, Chuan-Xian, Chen, Zi-Ying   +2 more
openaire   +2 more sources

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

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

Red Blood Cells Internalize Extracellular DNA via Apoptotic Bodies with Clinical Relevance to Cancer Patients

Advanced Science, EarlyView.
Mature red blood cells (RBCs) can capture extracellular DNA, with short fragments homologous to cfDNA. This uptake is mediated by apoptotic bodies, which induce RBC oxidative stress, deformation, and accelerated in vivo clearance. The rbcDNA abundance correlates with tumor burden and therapeutic response, highlighting its potential as a liquid biopsy ...
Zihang Zeng, Zongbi Yi, Jing Hu, Jiali Li, Yu Xu, Xiuli Guo, Qian Ji, Kaixiang Feng, Ying Zhang, Sirui Bai, Yushuang Tan, Yufei Yan, Linzhi Han, Jing Jiang, Tengfei Wang, Xiang Wang, Ziqing Zhan, Ruiying Huang, Jinfang Zhang, Conghua Xie, Binghe Xu   +20 more
wiley   +1 more source

Advancing Dry Electroencephalography With Scalable, Soft, and Transcranial Magnetic Stimulation‐Compatible Ti3C2Tx MXene Electrodes for Research and Clinical‐Grade Applications

Advanced Science, EarlyView.
Dry soft Ti3C2Tx MXene electroencephalography (EEG) electrodes provide low impedance (2.1 ± 1.8 kΩ at 10 Hz), long‐term stability, and enable safe simultaneous EEG and transcranial magnetic stimulation (TMS). Across scalp sites, hair types, and recording paradigms, including steady state visual evoked potentials (SSVEP), clinical EEG, and mobile EEG ...
Sneha Shankar, Jakob Michiels, Ksenija Tasich, Ashley Koluda, Ryan Rich, Brian Erickson, Eugenia Angelopoulos, Francesca Cimino, Daryl Hurwitz, Raghav Garg, Spencer R. Averbeck, Doris Xu, Mariam Josyula, Nina Petillo, James J. Gugger, Kathryn A. Davis, John Medaglia, Flavia Vitale   +17 more
wiley   +1 more source

vEMINR: Ultra‐Fast Isotropic Reconstruction for Volume Electron Microscopy With Implicit Neural Representation

Advanced Science, EarlyView.
vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.
Jibin Yang, Jie Huo, Muyu Liu, Chenjie Feng, Yan Zhang, Gang Pan, Wenjia Meng, Renmin Han   +7 more
wiley   +1 more source