Results 101 to 110 of about 322,902 (281)

A Vascular Microphysiological Model of Lung Fibrosis Reveals That Myofibroblasts and IPF Patient‐Derived Fibroblasts Impair Angiogenesis and Vasculogenesis

Advanced Functional Materials, EarlyView.
A microphysiological lung fibrosis model recapitulates myofibroblast–vascular interactions. Induced myofibroblasts and patient‐derived IPF fibroblasts impair angiogenesis and increase vascular permeability via TGF‐β1–driven signaling. Pharmacological interventions with SB 431542 and VEGF supplementation restore vascular morphology and barrier function.
Elena Cambria, Adriana Blazeski, Eunkyung Clare Ko, Tran Thai, Shania Dantes, David A. Barbie, Sarah E. Shelton, Roger D. Kamm   +7 more
wiley   +1 more source

Specific emitter identification under extremely small sample conditions via chaotic integration

Electronics Letters
As a potential solution to improve wireless security, specific emitter identification is a lightweight access authentication technology. However, the existed deep learning‐based specific emitter identification methods are highly dependent on the training
Haotian Zhang, Yuan Jiang, Lei Zhao, Bo Peng   +3 more
doaj   +1 more source

Tuning the Electronic Structure and Spin State of Fe─N─C Catalysts Using an Axial Oxygen Ligand and Fe Clusters for High‐Efficiency Rechargeable Zinc–Air Batteries

Advanced Functional Materials, EarlyView.
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou, Yu Mao, Mengyao Chang, Ziyun Wang, Wenke Xie, Cuizhu Ye, Shanghai Wei, Lars Thomsen, Geoffrey I. N. Waterhouse   +8 more
wiley   +1 more source

Landslide recognition with sample augmentation based on a joint DCGAN and Pix2Pix

Geomatics, Natural Hazards & Risk
Landslides are among the most frequent and destructive geological hazards in mountainous regions; however, the ability to automatically identify landslides is often constrained by limited amounts of labelled samples, modest gains derived from traditional
Peihui Li, Shaojin Huang, Ping Duan, Kang Zhao, Jia Li   +4 more
doaj   +1 more source

Endothelial Cells Angiogenesis in Sulfated Glycosaminoglycan (GAG) Hydrogels Enhanced by Bioactive Glass‐Released Ions

Advanced Functional Materials, EarlyView.
A mechanically tunable hydrogel composed of gelatin, chondroitin sulfate and laminin promotes angiogenesis in vitro without the supplement of growth factors. Endothelial cells morphogenesis was further enhanced by medium conditioned with bioactive glass 58S‐released ions (Ca and Si), thus offering a promising strategy to vascularize 3D tissue ...
Marco Piazzoni, Ilaria Borghi, Francesca Cadamuro, Sophia Dalfino, Riccardo Campanile, Sofia Nizzolo, Valeria Cassina, Francesca Tallia, Julian R. Jones, Francesco Mantegazza, Sabrina Bertini, Lorenzo Moroni, Francesco Nicotra, Laura Russo   +13 more
wiley   +1 more source

Sample and feature augmentation strategies for calibration updating

Journal of Chemometrics, 2018
AbstractCalibration updating—transfer and/or maintenance—has historically been implemented using a simple but effective technique: in addition to primary samples, include a small number of secondary samples and weight them. It would be beneficial if these classical weighting techniques could be enhanced. Moreover, it would be ideal if we could only use
Erik Andries, John H. Kalivas, Anit Gurung   +2 more
openaire   +2 more sources

Germanane Quantum Dots Promote Metabolic Reprogramming of Immune Cells Toward Regulatory T Cells and Suppress Inflammation In Vitro and In Vivo

Advanced Functional Materials, EarlyView.
Metabolic changes in immune cells direct the phenotype and function of the host immune system. Smart nanomaterials must target metabolic pathways to direct immune cell fate. This study reports the fabrication and first application of germanane quantum dots (GeHQDs) to modulate inflammation in vitro and in vivo.
Abhay Srivastava, Alireza Rafieerad, Weiang Yan, Keshav Narayan Alagarsamy, Qingdong Guan, Leena Regi Saleth, Michel Aliani, Sanjiv Dhingra   +7 more
wiley   +1 more source

Augmented Feature Diffusion on Sparsely Sampled Subgraph

Electronics
Link prediction is a fundamental problem in graphs. Currently, SubGraph Representation Learning (SGRL) methods provide state-of-the-art solutions for link prediction by transforming the task into a graph classification problem. However, existing SGRL solutions suffer from high computational costs and lack scalability.
Xinyue Wu, Huilin Chen
openaire   +1 more source

Multi-hop Federated Private Data Augmentation with Sample Compression

, 2019
On-device machine learning (ML) has brought about the accessibility to a tremendous amount of data from the users while keeping their local data private instead of storing it in a central entity. However, for privacy guarantee, it is inevitable at each device to compensate for the quality of data or learning performance, especially when it has a non ...
Jeong, E. (Eunjeong), Oh, S. (Seungeun), Park, J. (Jihong), Kim, H. (Hyesung), Bennis, M. (Mehdi), Kim, S.-L. (Seong-Lyun)   +5 more
openaire   +3 more sources

Geometry‐Dependent Adhesion in Transparent Monodomain Liquid Crystal Elastomers

Advanced Functional Materials, EarlyView.
Liquid Crystal Elastomers (LCEs) are emerging as exciting pressure‐sensitive adhesives. We examine adhesion in chemically identical elastomer films, exploring the influence of geometry (director orientation) and phase (nematic or isotropic). We demonstrate the potential of these aligned films as transparent, tunable, broad‐temperature‐range smart ...
Aidan Street, Devesh Mistry, Johan Mattsson, Helen F. Gleeson   +3 more
wiley   +1 more source