Results 131 to 140 of about 3,341,187 (271)
Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition [PDF]
Finger vein recognition (FVR) has emerged as a secure biometric technique because of the confidentiality of vascular bio-information. Recently, deep learning-based FVR has gained increased popularity and achieved promising performance. However, the limited size of public vein datasets has caused overfitting issues and greatly limits the recognition ...
arxiv
This study was designed to assess the optimal access route for the endovascular treatment of acute lower extremity deep vein thrombosis. This was a retrospective analysis of patients with acute lower extremity deep venous thrombosis who underwent ...
Xiande Zeng+7 more
doaj +1 more source
Melanoma cell spheroid engraftment is optimized in the chicken chorioallantoic membrane overcoming the complexity of other in vivo models. Using this model, greater penetration of cerium oxide nanoparticles (nanoceria) functionalized with heparin in spheroids is observed via enhancement of vascularization than nanoceria alone.
Lu Fu+5 more
wiley +1 more source
Highly sprouting organoid‐like neurovascular spheroids (NVUs) are developed, featuring cell‐loaded poly‐3‐hydroxybutyrate 4‐hydroxybutyrate(P34HB) porous microsphere cores embedded within Gelatin Methacryloyl. NVUs formed complex vascular plexuses and secreted extracellular matrix in vitro, simulating autologous nerves and blood interaction.
Junjin Jie+5 more
wiley +1 more source
Dendrimer Conjugates with PD‐L1‐Binding Peptides Enhance In Vivo Antitumor Immune Response
In this paper, a novel nanoparticle scaffold composed of dendrimers conjugated with peptide‐based immune checkpoint inhibitors, enhancing drug delivery efficacy is introduced. By conjugating PD‐L1‐binding peptides to dendrimers, multivalent binding effects are harnessed, resulting in enhanced binding affinity, prolonged half‐life, and improved ...
DaWon Kim+11 more
wiley +1 more source
Adversarial Masking Contrastive Learning for vein recognition [PDF]
Vein recognition has received increasing attention due to its high security and privacy. Recently, deep neural networks such as Convolutional neural networks (CNN) and Transformers have been introduced for vein recognition and achieved state-of-the-art performance.
arxiv
Engineered exosome‐based heavy atom‐free nanosensitizers are developed for safe and targeted sono‐photodynamic therapy of solid tumors. The IR820‐TPE‐loaded, biotin‐conjugated exosomes (IR820‐TPE@B‐Exo) demonstrate significant promise for NIR fluorescence imaging‐guided sono‐photodynamic cancer therapy.
Van‐Nghia Nguyen+16 more
wiley +1 more source
Designing for Degradation: Transient Devices Enabled by (Nano)Cellulose
Recent progress in transient devices enabled by (nano)cellulosic materials is reviewed. Transiency mechanisms, advantages of nanocelluloses, and a suite of applications are discussed. A circular thinking approach coupled with life cycle assessment is applied to critically revisit the potential, advantages, and challenges of nanocellulose‐enabled ...
Lucas J. Andrew+2 more
wiley +1 more source
This review examines the fluid dynamic behavior within carbonaceous porous structures, linking structural characteristics to electrolyte transport and electrochemical performance. Specifically, it quantitatively assesses the effect of polyphenol derivatives‐harnessed multiscale pore structures on active surface utilization and electrochemical activity ...
Minjun Kim+3 more
wiley +1 more source
Enhancing Ultrasound Power Transfer: Efficiency, Acoustics, and Future Directions
Implantable devices significantly enhance healthcare but are limited by battery life. Ultrasound power transfer technology offers a promising solution for sustainable operation. This review addresses gaps in current research, particularly in sound field analysis and energy efficiency optimization.
Yi Zheng+6 more
wiley +1 more source