Results 91 to 100 of about 1,215,022 (288)
Advanced Functional Materials, EarlyView.Ultrathin, flexible neural probes are developed with an innovative, biomimetic design incorporating brain tissue‐compatible materials. The material system employs biomolecule‐based encapsulation agents to mitigate inflammatory responses, as demonstrated through comprehensive in vitro and in vivo studies.
Jeonghwa Jeong +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Mesenchymal stem cell‐derived nanoghosts (MSC‐NGs) mimic naturally secreted extracellular vesicles (MSC‐EVs) in structure and physicochemical properties but can be synthesized at more translatable yields. As osteogenic agents, MSC‐NGs demonstrate superior outcomes compared to MSC‐EVs.
Antoine Karoichan +4 more
wiley +1 more source
Revolutionizing Education: Harnessing Graph Machine Learning for Enhanced Problem-Solving in Environmental Science and Pollution Technology [PDF]
Nature Environment and Pollution TechnologyAmidst the shifting tides of the educational landscape, this research article embarks on a transformative journey delving into the fusion of theoretical principles and pragmatic implementations within the realm of Graph Machine Learning (GML ...
R. Krishna Kumari
doaj +1 more source
Advanced Functional Materials, EarlyView.This review synthesizes the evolution of radiative heat transfer, emphasizing the transition from far‐field to near‐field regimes. Traditional frameworks, such as Planck's law, are revisited alongside modern innovations like fluctuational electrodynamics. Applications span nanoscale thermal management, energy harvesting, and thermophotovoltaic systems.
Ambali Alade Odebowale +6 more
wiley +1 more source
Entire Irregularity Indices: A Comparative Analysis and Applications
MathematicsThis research introduces two novel topological indices, the entire Albertson index and the entire sigma index, as quantitative measures of molecular irregularity.
Anwar Saleh +2 more
doaj +1 more source
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective [PDF]
The "Graph pre-training and fine-tuning" paradigm has significantly improved Graph Neural Networks(GNNs) by capturing general knowledge without manual annotations for downstream tasks. However, due to the immense gap of data and tasks between the pre-training and fine-tuning stages, the model performance is still limited. Inspired by prompt fine-tuning
arxiv +1 more source
Scaling‐Up of Structural Superlubricity: Challenges and Opportunities
Advanced Functional Materials, EarlyView.At increasing length‐scales, structural superlubricity (SSL) faces challenges from physical and chemical energy dissipation pathways. This study reviews recent experimental and theoretical progress on these challenges facing the scaling‐up of SSL, as well as perspectives on future directions for realizing and manipulating macroscale superlubricity ...
Penghua Ying +4 more
wiley +1 more source
A Reeb sphere theorem in graph theory [PDF]
arXiv, 2019 We prove a Reeb sphere theorem for finite simple graphs. The result bridges two different definitions of spheres in graph theory. We also reformulate Morse conditions in terms of the center manifolds, the level surface graphs {f=f(x)} in the unit sphere S(x).
arxiv
Advanced Functional Materials, EarlyView.A multifunctional hydroxyapatite (HAp) coating integrated with silver‐gallium liquid metal nanoparticles (HAp‐Ag‐GaNPs) exhibits dual antibacterial and osteogenic properties. It effectively inhibits Gram‐positive and Gram‐negative bacteria, including resistant strains, while enhancing bone regeneration.
Ngoc Huu Nguyen +17 more
wiley +1 more source
BMC Public HealthBackground The symptom burden in people with HIV (PWH) is considerable. Nonetheless, the identification of a central symptom, or bridge symptom, among the myriad symptoms experienced by PWH remains unclear.
Meilian Xie +3 more
doaj +1 more source