Results 121 to 130 of about 86,433 (209)
Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System
Advanced Functional Materials, EarlyView.We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang +6 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions
Advanced Functional Materials, EarlyView.Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley +1 more source
A tool for sharing annotated research data: the "Category 0" UMLS (Unified Medical Language System) vocabularies [PDF]
, 2003 Jules J. Berman
openalex +1 more source
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
The outline of Unified Medical Language System(UMLS) Knowledge Sources.
, 1998 Koreni KAWANO
openalex +2 more sources
Advanced Healthcare Materials, EarlyView.Exosomes can reduce tissue damage in temporomandibular joint osteoarthritis (TMJOA), but rapid clearance limits their efficacy. This study encapsulates exosomes in hyaluronic acid hydrogels for controlled release. In a rat model, hydrogel‐encapsulated exosomes outperform free exosomes in preserving bone integrity and reducing tissue destruction ...
Victor Diez‐Guardia +7 more
wiley +1 more source
Novel Bioconjugate Materials: Synthesis, Characterization and Medical Applications
Advanced Healthcare Materials, EarlyView.This review discusses the bioconjugation of novel materials grouped under “biological”, “hybrid” and “synthetic” categories. Medical applications ranging from cancer therapy and diagnostics to optogenetics and tissue engineering are explored, and conjugation trends are highlighted as a general guide. The review concludes with a comparison of techniques
Ellie Martin +6 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Bone fracture healing is a complex, timely orchestrated scenario involving multiple cell types and a plethora of cytokines and regulatory factors. To gain further insight, an in vitro model to a) study macrophage polarization under mechanical load in a fibrin hydrogel and b) subsequently assess the effect of conditioned media derived from macrophages ...
Anne Géraldine Guex +4 more
wiley +1 more source
ECSA: Mitigating Catastrophic Forgetting and Few-Shot Generalization in Medical Visual Question Answering. [PDF]
TomographyJia Q, Liu S, Chen M, Li T, Yang J.
europepmc +1 more source