Results 141 to 150 of about 1,853,771 (271)
FedHSFV: Federated Learning for Finger Vein Recognition via Hierarchical Decoupling and Subspace Metric. [PDF]
Zhou X, Wang Y, Cui J, Guo J, Ren H.
europepmc +1 more source
Redirecting Monocyte Differentiation With Engineered Extracellular Vesicles for Glioma Immunotherapy
A dual‐targeting engineered extracellular vesicles (M1‐CS‐EVs) platform is developed to redirect monocytes differentiation into anti‐tumor macrophages for glioma immunotherapy. This nanoplatform combines CAR‐mediated tumor recognition with localized CD47 blockade, leading to synergistic immune activation and potent suppression of tumor progression in ...
Yuanwei Pan +9 more
wiley +1 more source
An Efficient Finger Vein Recognition Method Based on Improved Lightweight MobileNet. [PDF]
Zhang X, Liu Y, Yan Y, Li J, Xu L.
europepmc +1 more source
Schematic representation of ultrasound‐mediated ICG/siCD24@MSN‐LCD from nanostructure to synergistic sono‐gene therapy. This nanoplatform targets ASGPR via the LCD shell, which dissociates to release loaded ICG and siCD24. The core mechanism involves ultrasound‐guided sonodynamic therapy by ICG and CD24 knockdown by siCD24, both activating the p53 axis
Yading Zhao +11 more
wiley +1 more source
MPXV infection leads to persistent viral replication and severe local inflammation, while existing treatments cannot simultaneously remove viruses and repair injured tissue. This study constructs Polymer@mPDA@Gel hydrogel via a two‐step hierarchical assembly method: mPDA anchors photothermal polymers to form antiviral photothermal subunits, which are ...
Ming Zhang +7 more
wiley +1 more source
Efficient multi-finger vein recognition using layer-wise progressive MobileNet fine-tuning and a Dense-Head Probabilistic Siamese Network. [PDF]
Alaerjan AS +3 more
europepmc +1 more source
On the Vulnerability of Finger Vein Recognition to Spoofing
The vulnerability of finger vein recognition to spoofing is studied in this paper. A collection of spoofing finger vein images has been created from real finger vein samples.
Marcel, Sébastien +2 more
core
Systematic Multi‐Level Analyses Decode the Arthritis‐Neurodegeneration Axis With In Vivo Validation
Arthritis and neurodegeneration are usually studied as separate disorders, but this study connects them through population evidence, genetic inference, transcriptomic mapping, and mouse models. It highlights RNF40 as a context‐dependent joint‐brain candidate, induced in inflammatory joints yet functionally linked to dopamine‐neuron vulnerability ...
Jinwen Wang +7 more
wiley +1 more source
Finger Vein Recognition Based on Unsupervised Spiking Convolutional Neural Network with Adaptive Firing Threshold. [PDF]
Yang L, Yao Q, Xu X.
europepmc +1 more source
Astrocyte‐specific SHP1 deletion disrupts astrocyte–vascular interactions and compromises BBB integrity while enhancing STAT1‐dependent CXCL10 expression. These changes synergistically promote peripheral CD4+ and CD8+ T‐cell infiltration into the SDH. The infiltrating T cells secrete IFN‐γ, which in turn activates microglia.
Lan‐Xing Yi +7 more
wiley +1 more source

