Results 151 to 160 of about 3,020,093 (290)

SerpinA3 is an Endogenous TGF‐β Receptor Antagonist that Attenuates Cardiac Fibroblast Activation and Fibrotic Remodeling

open access: yesAdvanced Science, EarlyView.
SerpinA3 acts as an endogenous TGF‐β receptor antagonist that binds to the extracellular domain of TGFR‐1, thereby preventing TGFR‐1–TGFR‐2 complex formation. This receptor‐level blockade suppresses TGF‐β/Smad2/3 signaling, attenuates cardiac fibroblast activation, and extracellular matrix deposition, and ultimately alleviates pressure overload–induced
Hui Wang   +9 more
wiley   +1 more source

SYNTHETIC TO REAL DOMAIN ADAPTATION FOR WEATHER CLASSIFICATION [PDF]

open access: yes
openThe combination of synthetic datasets with real-world datasets has gained importance in improving the performance of computer vision models, especially in cases where direct access to real-world data is challenging or impossible to annotate.
KOCA, GÖZDENUR
core  

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

open access: yesAdvanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo   +10 more
wiley   +1 more source

Unsupervised domain adaptation for automated knee osteoarthritis phenotype classification. [PDF]

open access: yesQuant Imaging Med Surg, 2023
Zhong J   +9 more
europepmc   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

open access: yesAdvanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia   +4 more
wiley   +1 more source

NSUN2‐Mediated m5C Modification of TGFB1 in Trophoblasts Remodels Macrophage Function to Prevent URSA

open access: yesAdvanced Science, EarlyView.
NSUN2 and m5C decline in URSA villous tissues. Trophoblast Nsun2 ablation disrupts macrophage‐mediated maternal‐fetal tolerance and triggers embryo resorption. Mechanistically, NSUN2‐YBX1 axis stabilizes m5C‐modified TGFB1 mRNA to maintain TGF‐β1 secretion and M2 polarization, and restoring this signaling rescues maternal‐fetal immune tolerance to ...
Xiaoxiao Zhu   +10 more
wiley   +1 more source

Phase Separation of SF3B1 Serves as a Critical Post‐Transcriptional Regulator During Early Mouse Embryogenesis

open access: yesAdvanced Science, EarlyView.
Phase separation of SF3B1 acts as a key regulatory mechanism for dynamic alternative splicing throughout early mouse embryogenesis. Its absence triggers extensive splicing errors, which induce persistent DNA damage, defective cell cycle progression, and failed cell lineage commitment, and ultimately hinder the normal growth and development of ...
Kang Zhao   +15 more
wiley   +1 more source

Ultrasound‐Activated Nanoinhibitors Blocking the Chemo‐Immune Checkpoint to Overcome Chemotherapy‐Induced Immune Resistance

open access: yesAdvanced Science, EarlyView.
A sono‐responsive chemo‐immune checkpoint nanoinhibitor (Sono‐TT8) co‐delivering TPZ chemotherapy and siXkr8 simultaneously kills tumor cells and blocks PS externalization, reversing chemotherapy‐induced immunosuppression and enhancing antitumor immunity. ABSTRACT Breast cancer features an immunosuppressive tumor microenvironment following chemotherapy
Yunfan Liu   +13 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

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