Results 91 to 100 of about 4,930,132 (374)

An Ultrafast Self‐Gelling Versatile Hydrogel for Rapid Infected Burn Wound Repair in Military Medicine

Advanced Functional Materials, EarlyView.
A self‐gelling PG@PAC (POD/Gel‐CDH@PA/CHX) powder is developed for infected burn care in austere settings. Upon contact with wound exudate, it instantly forms an adhesive hydrogel, providing simultaneous hemostasis, broad‐spectrum antibacterial activity, reactive oxygen species scavenging, and immunomodulation. In a murine model of S.
Liping Zhang, Zhangrui Wu, Xiansheng Zhao, Geng Wang, Quyang Yang, Minxia zhang, Xiaowei Wang, Xiujun Cheng, Changyue Wu, Dan Wu, Yutian Yang, Canbin Dong, Tao Zhang, Weiqiang Tan, Ningwen Zhu   +14 more
wiley   +1 more source

Graph Anomaly Detection Algorithm Based on Multi-View Heterogeneity Resistant Network

Information
Graph anomaly detection (GAD) aims to identify nodes or edges that deviate from normal patterns. However, the presence of heterophilic edges in graphs leads to feature over-smoothing issues. To overcome this limitation, this paper proposes the multi-view
Yangrui Fan, Caixia Cui, Zhiqiang Wang, Hui Qi, Zhen Tian   +4 more
doaj   +1 more source

Dense Nanofibrillar Collagen–Silica Hybrids with High Strength and ECM‐Mimetic Tissue Integration

Advanced Functional Materials, EarlyView.
Dense nanofibrillar collagen–silica hybrids are engineered by synchronizing collagen fibrillogenesis with silica condensation, producing printable scaffolds that unexpectedly approach native extracellular matrix organization and strength. These cell‐free constructs guide endogenous cell‐infiltration, enable localized matrix remodeling, and integrate ...
Norein Norein, Shima Tavakoli, Philipp Wolf, Xie Ling, Veronica Rondahl, Klaus Leifer, Gry Hulsart‐Billström, Jöns Hilborn   +7 more
wiley   +1 more source

Hierarchical Predictions of Fine-to-Coarse Time Span and Atmospheric Field Reconstruction for Typhoon Track Prediction

Atmosphere
The prediction of typhoon tracks in the Northwest Pacific is key to reducing human casualties and property damage. Traditional numerical forecasting models often require substantial computational resources, are high-cost, and have significant limitations
Shengye Yan, Zhendong Zhang, Wei Zheng
doaj   +1 more source

Imaging of Biphoton States: Fundamentals and Applications

Advanced Functional Materials, EarlyView.
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley   +1 more source

Organometallic Precursor‐Induced Gradient Architecture on Multilayer Nanoporous Graphene Membranes for Precise Organic Solvent Nanofiltration

Advanced Functional Materials, EarlyView.
Alumina growth narrows surface pores and seals non‐selective defects, enhancing selectivity while preserving the nanoporous graphene architecture. Additionally, the deposition enables gradient‐controlled structural modification, with intergrown alumina acting as a physical cross‐linker that stabilizes the laminar structure.
Junhyeok Kang, Hwayong Lee, Suseong Hyun, Jiwon Kim, Ju Yeon Kim, Jeongyeob Oh, Yunseong Ji, Byungchan Han, Dae Woo Kim   +8 more
wiley   +1 more source

SEDMA: Self-Distillation with Model Aggregation for Membership Privacy [PDF]

, 2023
Tsunato Nakai, Ye Wang, Kota Yoshida, Takeshi Fujino   +3 more
openalex   +1 more source

Sustainable Catalyst‐Free PLG Networks: Recyclability, Biodegradability, and Functional Performance

Advanced Functional Materials, EarlyView.
A catalyst‐additive free covalent adaptable network is developed from star‐shaped poly(lactide‐co‐glycolide) cross‐linked with pyromellitic dianhydride, enabling internal carboxylic acid‐driven transesterification. The resulting biodegradable network exhibits mechanical robustness (Young's modulus ≈1.6 GPa), complete recyclability, rapid biodegradation
Lars Schwarzer, Emilia Fulajtar, Seema Agarwal   +2 more
wiley   +1 more source

Advancing Face Parsing in Real-World: Synergizing Self-Attention and Self-Distillation

IEEE Access
Face parsing, the segmentation of facial components at the pixel level, is pivotal for comprehensive facial analysis. However, previous studies encountered challenges, showing reduced performance in areas with small or thin classes like necklaces and ...
Seungeun Han, Hosub Yoon
doaj   +1 more source

GNN’s Uncertainty Quantification Using Self-distillation

Graph Neural Networks (GNNs) have shown remarkable performance in the healthcare domain. However, what remained challenging is quantifying the predictive uncertainty of GNNs, which is an important aspect of trustworthiness in clinical settings. While Bayesian and ensemble methods can be used to quantify uncertainty, they are computationally expensive ...
Hirad Daneshvar, Reza Samavi
openaire   +2 more sources